International Journal of Latest Technology in Engineering,
Management & Applied Science

• Dhea Wahyu Permatasari
  Postgraduate STIE Malangkucecwara Malang
• Setiyawan Setiyawan
  Postgraduate STIE Malangkucecwara Malang

References

1. Carlson, D. S., Grzywacz, J. G., & Michele Kacmar, K. (2010). The relationship of schedule flexibility and outcomes via the work family interface. Journal of Managerial Psychology, 25(4), 330–355. https://doi.org/10.1108/02683941011035278
2. Chavadi A. Chandan, Sirothiya Monika, & R M Vishwanatha. (2021). Mediating Role of Job Satisfaction on Turnover Intentions and Job Mismatch Among Millennial Employees in Bengaluru.
3. Deloitte. (2009). Deloitte LLP Superior performance Contents.
4. Deloitte. (2018). Millennial Survey Millennials disappointed in business, unprepared for Industry 4.0.
5. Frian, A., &Mulyani, F. (2018). Millennials Employee Turnover Intention in Indonesia. Innovative Issues and Approaches in Social Sciences, 11(3). https://doi.org/10.12959/issn.1855-0541.iiass-2018-no3-art5
6. Ismail, M., & Hoo, S. L. (2014). Cultural Values and Career Goals of the Millennial Generation an Integrated Conceptual. The Jurnal of International Management Studies.
7. Jahya, A., Azlin, S. N. I., Othman, R., &Romaiha, N. R. (2020). Turnover Intention among Gen-Y: The Role of Training and Development, Compensation and Organizational Culture. International Journal of Academic Research in Business and Social Sciences, 10(10). https://doi.org/10.6007/ijarbss/v10-i10/7975
8. Javed, M., Khan, M. A., Yasir, M., & Aamir, S. (2014). Effect of Role Conflict, Work Life Balance and Job Stress on Turnover Intention: Evidence from Pakistan. https://www.researchgate.net/publication/274194231
9. Jeffrey Hill, E., Grzywacz, J. G., Allen, S., Blanchard, V. L., Matz-Costa, C., Shulkin, S., & Pitt-Catsouphes, M. (2008). Defining and conceptualizing workplace flexibility. Community, Work and Family, 11(2), 149–163. https://doi.org/10.1080/13668800802024678
10. Jobplanet. (2017, February 14). Tingkat Kesetiaan Karyawandari Berbagai Generasi di Dunia Kerja. blog.id.jobplanet.com
11. Luntungan, I. I., Hubeis, A. V. S., Sunarti, E., & Maulana, A. (2014). Strategi Pengelolaan Generasi Y di Industri Perbankan. Jurnal Manajemen Teknologi, 13(2), 219–240. https://doi.org/10.12695/jmt.2014.13.2.7
12. Miftahul Janna, N., & Pembimbing, D. (2021). Konsep Uji Validitas dan Reliabilitasdengan Menggunakan SPSS.
13. Mufidah, L. (2016). Pengaruh Job Satisfaction Terhadap Turnover Intention dengan Continuance Commitment SebagaiVariabel Intervening Pada Karyawan EF Sinergy Consultant. Fakultas Ekonomi Dan Bisnis Universitas Airlangga.
14. Nindyati, A. D. (2017). PEMAKNAAN LOYALITAS KARYAWAN PADA GENERASI X DAN GENERASI Y (Studi Pada Karyawan Di Indonesia). Journal of Psychological Science and Profession, 1(3). https://doi.org/10.24198/jpsp.v1i3.15230
15. Perera K. V. U, & Pathirana K. P. J. M. (2023). Impactof Work Life Balance on the Turnover Intention with the Mediation of Job Satisfaction. The Open University of Sri Lanka.
16. Schaefer, C. D. (2017). Factors Contributing to Millennial Turnover Rates in Department of Defense (DOD) Organizations. https://repository.fit.edu/etd
17. Singh, J., & Rashid, T. A. (2021a). Reducing Turnover Intention through Flexible Work Arrangement, Supervisor Support, and Employee Engagement: A Study among Female Auditors in Jakarta. An International Journal. https://www.researchgate.net/publication/349109430
18. Singh, J., & Rashid, T. A. (2021b). Reducing Turnover Intention through Flexible Work Arrangement, Supervisor Support, and Employee Engagement: A Study among Female Auditors in Jakarta. An International Journal. https://www.researchgate.net/publication/349109430
19. Smola, K. W., & Sutton, C. D. (2002). Generational Differences: Revisiting Generational Work Values for The New Millennium. Journal of Organizational Behavior, 23(SPEC. ISS.), 363–382. https://doi.org/10.1002/job.147
20. Stavrou, E. T. (2005). Flexible Work Bundles and Organizational Competitiveness: a Cross‐National Study of the European Work Context. Journal of Organizational Behavior, 923–947. https://doi.org/https://doi.org/10.1002/job.356
21. Tsen, M. K., Gu, M., Tan, C. M., & Goh, S. K. (2021). Effect of Flexible Work Arrangements on Turnover Intention: Does Job Independence Matter? International Journal of Sociology, 51(6), 451–472. https://doi.org/10.1080/00207659.2021.1925409
22. Widi, R. (2015). Uji Validitas dan Reliabilitasdalam Penelitian Epidemiologi Kedokteran Gigi. LaboratoriumIlmu Kesehatan Gigi Dan Mulut Dan Pencegahan Fakultas Kedokteran Gigi Universitas Jember.
23. Yahya, K. K., Tee, C.-W., & Johari, J. (2018). Employee Engagement: A Study on Gen Y in the Manufacturing Industry. Journal of Business and Social Review in Emerging Economies, 4(1), 37–44. https://doi.org/10.26710/jbsee.v4i1.361

Dhea Wahyu Permatasari, Setiyawan Setiyawan, "The Effect of Flexible Work Arrangement and Work Life Balance on Turnover Intention of Y Generation Employees" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.13 issue 2, February 2024, pp.01-07 URL: https://doi.org/10.51583/IJLTEMAS.2024.130201

• Makonye Leah
  Midlands State University
• Nkomo Sikhangezile
  Midlands State University

References

1. Aboluwodi, A. (2016). Imperative of teaching critical thinking in higher institutions in Nigeria. Journal of Teaching and Teacher Education, 4(1), 9-15.
2. Bajoria. (2019). How culture influences children’s development. Bennett, Coleman & Co. Ltd: India
3. Berk, L.E. (2000). Child Development (5th ed.). Boston: Allyn and Bacon.23-38.
4. Biko, S. (2006). I write what I like: A selection of his writing. Johannesburg: Picador
5. Cohen, L., Manion, L. & Morrison, K. (2011). Research methods in education (7thedn.). New York, NY: Routledge.
6. Crogman, H. (2017). Grasping the interplay between verbal Cultural diversity and Critical Thinking, and their Consequences for African American Education Physics, College of the Desert, Palms Desert, CA, United States.
7. Cossette, G. (2013). Action research: The development of critical thinking skills. Tamny La Point-O’Brien Franklin Pierce University. ED580: Action Research Seminar.
8. Chikodzi, I., & Nyota, S. (2010). The interplay of Culture and Mathematics: The Rural Shona Classroom. The Journal of Pan African Studies ,3(10),4-15.
9. Ching, Y.H. (2018). How Culture Influences Development.Bournemouth University: The Conversation UK.
10. Davidson, B. W. (1994). Obstacles and opportunities for critical thinking in Japan. Paper Presented at the 14th Annual Meeting of the International Conference on Critical Thinking and Educational Reform, Sonoma, CA. ERIC database. (ED377216).
Google Scholar
1. Dewey, J. (1938). Experience and education: The Kappa Delta Phi lecture series. New York, NY: Kappa Delta Pi.
2. Dogan, M. (2017). School Culture and Effectiveness: International Periodical for the Language, Literature History of Turkish or Turkic Volume1, /25, p.253-264 ANKARA: TURKEY
3. Ellerton, P. (2020). How can we teach kids critical thinking skills? The Conversation: phys.org
4. Ennis, R. H. (1996). Critical thinking (Vol. 14, pp. 48-51). Upper Saddle River, NJ: Prentice Hall.
5. Freire, P. (1970). Pedagogy of the oppressed (MB Ramos, Trans.). New York: Continuum, 2007.
6. Gary, H. (2012). First, Let’s Fire All Managers, Harvard Business Review: London Business School
7. Ghadi, I. N., Bakar, K. A., Alwi, N. H., & Talib, O. (2013). Gender Analysis of Critical Thinking Disposition Instrument among University Putra Malaysia undergraduate students. Recent Technological Advances in Education, 27(7)146-154.
8. Global Health (2012). The End of Golden Age? Seattle, WA: IHME,2012
9. Guo,Y.(2013).Convex subspace representation learning from multi-view data. Journal Proceeding of AAAI Confrence on Artificial Intelligence ,27(1),387-393
10. Hadley, O. A. (2000). Teaching Language in Context, 3rd Edn. Boston: Heinle: Heinle.
Google Scholar
1. Hughes, J. (2014). Critical thinking in the language classroom. Introduction to Basic Skills Journal, 7(1), 296-340.
2. Hurst, B., Wallace, R., & Nixon, S. B. (2013). The impact of social interaction on student learning. Reading Horizons, 52(4), 5-26
3. Li, N. (2012). Approaches to learning: Literature review. International Baccalaureate Organization
4. Lipman, M. (2003). Thinking in education. London: Cambridge University Press.
5. Majid, A., and Levinson, S.C. (2011). The senses in language and culture. Senses Soc. 6, 5–18. doi:10.2752/174589311X12893982233551
6. Cross Ref Full Text | Google Scholar
7. Mc-Guire M.E. (2007). What Happened to Social Studies? The Disappearing Curriculum, Sage Journals: Phi Delta Kappan.
8. Makonye, L. (2019). Exploring the Teaching of Critical Thinking Skills to Learners to Promote Mathematical Literacy: A Case of Five Schools in Zaka District of Zimbabwe. PhD Thesis, University of KwaZulu Natal: South Africa.
9. Miu-Chi, L. V. (2012). The Effects of Social Relations on the of Individual well-being.LU Research Committee.
10. Mpofu, J. (2013). Globalization and economic development in Zimbabwe: A new need for sustainable development. Journal of Research & Method in Education, 2(1), 75-81.
11. Mtetwa, D.J.K. (2005). Some characteristics of Mathematics Teaching in Zimbabwean Infant and Primary Classrooms, International Journal of Early Years Education,13(3),273-282.
12. Mwamwenda, T.S. (1995). Educational Psychology: An African Perspective. Butterworth: Durban.
13. Nida, E. (1998). Language, culture and translation. in Foreign Lang. J. 115, 29–33.
Google Scholar
1. Nussbaum, B. (2003). African Culture and UBUNTU. Reflection of a South African in America. World Business Academy Journal, 17 (1):1-12
2. Peterson, K. D. (2002). Excerpted from Positive or negative? The Journal of Staff Development, 23(3).
3. Ricci, F. A., and Huang, H. F. (2013). Cultural conditioning: influences on critical thinking. J. Worldwide Forum Educ. Cult. 5, 47.
Google Scholar
1. Roller, M. R., & Lavrakas, P. J. (2015). Applied qualitative research design: A total quality framework approach. New York: Guilford Publications.
2. Russell, R. Informal learning in context. 2011 Retrieved from www.informallearning.com/archive/Russell-77.htm
3. Salahshoor, N., & Rafiee, M. (2016). The relationship between critical thinking and gender: A case of Iranian EFL learners. Journal of Applied Linguistics and Language Research, 3(2), 117-123.
4. Schunk, D. H. (2012). Learning theories an educational perspective (6thedn.). City: Pearson.
5. Seedat, M. Duncan, N & Lazurus, S.(2001). Community Psychology-Theory, Method and Practice: South Africa and other perspectives (pp.37-50)Oxford University Press: Washington DC
6. Sun, J., Rao, N., & Pearson, E. (2015). Policies and strategies to enhance the quality of early childhood educators. Background paper for EFA Global Monitoring Report.
7. Thumi, K. C. & Horsefield, G. E (2004).Promoting Resilience : A Review of Effective Strategies for Child Care Services, w.w.w.researchgate.net>publication.
8. Wildman, R. H. (2015). A phenomenological study of high school teachers' motivation as related to teacher performance management. Journal, 33(1), 41-47.
9. Wiredu, K. (1990). Are there cultural universals? Quest: An African International Journal of Philosophy,
10. Wisneski, D.B.(2012).Supporting the Scientific ,Thinking and Inquiry of Toddlers and Preschoolers through Play ,Teacher Education Faculty :Publications :University of Nabraska at Omaha.

Makonye Leah, Nkomo Sikhangezile, "Exploring the Relationship between Critical Thinking and Shona Culture during Teaching and Learning of Young Learners 3-8 Year Olds." International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.13 issue 2, February 2024, pp.08-18 URL: https://doi.org/10.51583/IJLTEMAS.2024.130202

• Ome U. K
  Dept. of Computer Science,University of Nigeria, Nsukka
• Eke J
  Department of Electronics and Electrical Engineering, Faculty of Engineering (ESUT).
• Ogili S. N
  Department of Electronics and Electrical Engineering, Faculty of Engineering (ESUT).

References

1. Food and Agriculture Organization of the United Nations. (2020). The State of Food and Agriculture 2020: Overcoming food insecurity, transforming food systems for human and planetary health. https://doi.org/10.4060/ca9692en.
2. Raven, P. H., & Wagner, D. P. (2021). Biology: Concepts and Investigations (10th ed.). McGraw-Hill Education.
3. Hansson, L. O. (2019). Farmers' knowledge and resilience in the face of climate change. Sustainability, 11(13), 3609. https://doi.org/10.3390/su11133609.
4. Ivanyo, Y., Fedurina, N., & Varanitsa-Gorodovskaya, Z. (2020). Mathematical models of agricultural production management in high-risk environments. E3S Web of Conferences, 222, 01018.
5. Al-Basir, F., Banerjee, A., & Ray, S. (2019). Role of farming awareness in crop pest management - A mathematical model. Journal of Theoretical Biology, 461, 59-67.
6. Sukhova, E. M., Vodeneev, V. A., & Sukhov, V. S. (2021). Mathematical modeling of photosynthesis and analysis of plant productivity. Biochemistry (Moscow) Supplement Series A: Membrane and Cell Biology, 15(1), 52–72. https://doi.org/10.1134/S1990747821010062.
7. Vyska, M., Cunniffe, N., & Gilligan, C. (2016). The trade-off between disease resistance and crop yield: a landscape-scale mathematical modeling perspective. Journal of the Royal Society Interface, 13(118), 20160451.
8. Zagaria, C., Schulp, C. J. E., Zavalloni, M., Viaggi, D., & Verburg, P. H. (2021). Modelling transformational adaptation to climate change among crop farming systems in Romagna, Italy. Agricultural Systems, 188, 103024. https://www.sciencedirect.com/science/article/pii/S0308521X20308854

Ome U. K, Eke J, Ogili S. N, "Simulation-Based Modeling of Soil Dynamics for Understanding Crop Responses." International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.13 issue 2, February 2024, pp.19-28 URL: https://doi.org/10.51583/IJLTEMAS.2024.130203

• Alamu, J. O
  Department of Science Education, School of Science and Technology Education, Federal University of Technology Minna, Niger state, Nigeria.
• R. M. Bello
  Department of Science Education, School of Science and Technology Education, Federal University of Technology Minna, Niger state, Nigeria.
• Babagana M.
  Department of Science Education, School of Science and Technology Education, Federal University of Technology Minna, Niger state, Nigeria.

References

1. Abdullahi, A. (2016). The relative effectiveness of cooperative and competitive teaching in the teaching of Biology at the senior secondary level. Ilorin Journal of Education, 11, 1-13.
2. Abolade, B. (2014). An index of psychological service to the nation: stress management in the school. Paper presented at the NPS conference Port Harcourt. academic achievement in secondary school physics.
3. Bashir, A. U. (2018). Development and assessment of Web-Based instructional package in Hausa Language on upper basic students’ achievement and interest in Geometric in Niger State.
4. Bashir, A. U. (2018). Development and assessment of Web-Based instructional package in Hausa Language on upper basic students’ achievement and interest in Geometric in Niger State.
5. Borod, J. C. (2016). The neuropsychology of emotion, New York: Oxford University Press.
6. Cem, O. G. & Akin, A. (2012). The effect of web-based mathematics instruction on mathematics achievement, attitudes, anxiety and self-efficacy of 6th grade students. International Journal of Academic Research in Progressive Education and Development. 1(2), 168-176.
7. Charanchi, A. A. (2015). A study of influence of mother-tongue, teacher’s qualification, gender, and experience on performance in primary school Mathematics in Katsina state. Journal of Research in National Development. 7(5),96-103
8. Choi, V. & Johnson, D. (2017). (Electroencephalogram) correlates of anxiety and emotional stability in adult healthy subjects,” neurophysiology.
9. Etukudo, G. R. (2016). Principles for using animation in computer-based instruction: theoretical heuristics for effective design. The computer in Human Behaviour, 18, 465–477.
10. Federal Republic of Nigeria F.R.N. (2004). National Policy on Education 4th Edition Federal Republic of Nigeria. Yaba Lagos: NERDC Press.
11. Flower, T. (2014). Teacher beliefs about instructional choice. Journal of Educational Psychology, 92, 634-645.
12. Hassan, S. (2014). “The relationship between the Big Five personality traits and academic motivation,” personality and individual differences.
13. Idialu, A. (2014). The implication of Teaching STM in the Mother tongue (ESAN). STAN 32ND Annual National Conference proceeding.
14. Ilegar J. A, & Emmanuel, E, (1991). Teachers views about the use of Mother Tongue in Science teaching. STAN 32nd Annual Conference Proceedings,
15. Isangedighi, A. (2017). Personality predicts academic performance: Evidence from two longitudinal university sample, journal of Researching personality.37(4), 319 338.
16. Krieg, S. (2022). Ethical research with children Practices and possibilities, Journal of Australia Research and possibilities in Early Childhood Education. 10(1),81-92.
17. Lindah, R. M. (2015). The Effectiveness of Using English as the Sole Medium of Instruction in English Classes: Student Responses and Improved English Proficiency. The Hong Kong Institute of Education.
18. Morrin, P., Darmarris, K. & Dumoluhle, M. (2014). The ‘Mother tongue as media of instruction’ debate revisited: a case of David livingstone primary school in Harare, Zimbabwe. Journal of Emerging Trends in Educational Research and Policy Studies (JETERAPS).
19. Okeke, E. A. C. (2014). Women and girls participation in Science, Technology and Mathematics Education as facilitators. In G. A. Badmus and L. O. Ocho (eds). Science, Mathematics and Technology Education in Nigeria. Lagos: Evearled Press. 25-42
20. Popoola, B. A. & Ajani, T. O. (2014). Preferred language of instruction for teaching mathematics in Abeokuta north local government area of Ogun state. Mathematical Association of Nigeria Proceedings of September 2014 Annual National Conference. (pp. 109-115).
21. Salau, A. (2015). “The emotional stability and emotional maturity of fourth year teacher education students of the Bulacan state university. Journal of Social Science & Humanities Research.
22. Setati, M. & Adler, J. (2015). Between languages and discourses: language practices in primary multilingual Mathematics classrooms in South Africa. Educational studies in Mathematics. 42, 243-269.
23. Setati, M. & Barewell, R. (2016). Discursive practices in multilingual Mathematics classroom: An international comparison. African Journal for Research in Mathematics, Science and Technology Education.10(2), 27-38.
24. Usman, K. O. &Nwabueze, M. U. (2015). Promoting students’ interest in quadratic equations in area tiles approach in mathematics instruction. ABACUS: Journal of Mathematics Association of Nigeria. 36(1), 74-84
25. WAEC (2019). The chief examiner’s report, May/June 2019. Senior Secondary School Certificate Examination.
26. Wokoma, C. U., & Iheriohanma, E. B. (2010). Integration between globalization and organizational performance in the third world; Nigeria in focus. Studies in sociology of science,1(2), 72- 80. Retrieved from http;//www.cscanada.org
27. Wushishi, D. I. Gimba, R. W. & Abdulkadir, A. (2016). Analysis of the role of English Language on science students’ failure in senior secondary school certificate examinations (ssce) in minna metropolis, Niger state, Nigeria. Nigerian Journal of Teacher Education and Teaching.
28. Yaki, A. A. (2014). Effects of the Computer aided instructional package and three dimensional visuals on the performance of secondary school students in Biology

Alamu, J. O, R. M. Bello, Babagana M., "Evaluation of Yoruba- Biology Instructional Package on Achievement and Emotional Stability among Secondary School Students in Kwara State, Nigeria" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.13 issue 2, February 2024, pp.29-37 URL: https://doi.org/10.51583/IJLTEMAS.2024.130204

• Sudhanshu Aggarwal
  Assistant Professor, Department of Mathematics, National Post Graduate College, Barhalganj, Gorakhpur, Uttar Pradesh-273402, India
• Rajesh Pandey
  Assistant Professor, Department of Mathematics& Statistics, D.D.U. Gorakhpur University, Gorakhpur, Uttar Pradesh-273009, India
• Sanjay Kumar
  Professor, Department of Mathematics, M.S. College, Saharanpur, Uttar Pradesh-247001, India

References

1. Koshy, T. (2007) Elementary Number Theory with Applications, Second Edition, Academic Press, USA.
2. Aggarwal, S., Shahida A.T., Pandey, E. and Vyas, A. (2023) On the problem of solution of non-linear (exponential) Diophantine equation β^x+(β+18)^y=z^2, Mathematics and Statistics, 11(5), 834-839.
3. Sroysang, B. (2014) On the Diophantine equation143^x+〖145〗^y=z^2, International Journal of Pure and Applied Mathematics, 91(2), 265-268.
4. Sroysang, B. (2014) More on the Diophantine equation 4^x+〖10〗^y=z^2, International Journal of Pure and Applied Mathematics, 91(1), 135-138.
5. Sroysang, B. (2014) On the Diophantine equation 3^x+〖85〗^y=z^2, International Journal of Pure and Applied Mathematics, 91(1), 131-134.
6. Aggarwal, S., Sharma, S.D. and Vyas, A. (2020) On the existence of solution of Diophantine equation 〖181〗^x+〖199〗^y=z^2, International Journal of Latest Technology in Engineering, Management & Applied Science, 9 (8), 85-86.
7. Hoque, A. and Kalita, H. (2015) On the Diophantine equation (p^q-1)^x+p^qy=z^2, Journal of Analysis & Number Theory, 3(2), 117-119.
8. Aggarwal, S. and Sharma, N. (2020) On the non-linear Diophantine equation〖379〗^x+〖397〗^y=z^2, Open Journal of Mathematical Sciences, 4(1), 397-399.
9. Aggarwal, S. (2020) On the existence of solution of Diophantine equation 〖193〗^x+〖211〗^y=z^2, Journal of Advanced Research in Applied Mathematics and Statistics, 5(3 & 4), 4-5.
10. Kumar, A., Chaudhary, L. and Aggarwal, S. (2020) On the exponential Diophantine equation 〖601〗^p+〖619〗^q=r^2, International Journal of Interdisciplinary Global Studies, 14(4), 29-30.
11. Kumar, S., Bhatnagar, K., Kumar, A. and Aggarwal, S. (2020) On the exponential Diophantine equation (2^(2m+1)-1)+〖(6^(r+1)+1)〗^n=ω^2, International Journal of Interdisciplinary Global Studies, 14(4), 183-184.
12. Bhatnagar, K. and Aggarwal, S. (2020) On the exponential Diophantine equation 〖421〗^p+〖439〗^q=r^2, International Journal of Interdisciplinary Global Studies, 14(4), 128-129.
13. Gupta, D., Kumar, S. and Aggarwal, S. (2022) Solution of non-linear exponential Diophantine equation(x^a+1)^m+(y^b+1)^n=z^2, Journal of Emerging Technologies and Innovative Research, 9(9), f154-f157.
14. Sroysang, B. (2014) On the Diophantine equation 323^x+〖325〗^y=z^2, International Journal of Pure and Applied Mathematics, 91(3), 395-398.
15. Sroysang, B. (2014) On the Diophantine equation 3^x+〖45〗^y=z^2, International Journal of Pure and Applied Mathematics, 91(2), 269-272.
16. Gupta, D., Kumar, S. and Aggarwal, S. (2022) Solution of non-linear exponential Diophantine equation x^α+(1+my)^β=z^2, Journal of Emerging Technologies and Innovative Research, 9(9), d486-d489.
17. Aggarwal, S. and Kumar, S. (2021) On the exponential Diophantine equation (〖13〗^2m )+(6r+1)^n=z^2, Journal of Scientific Research, 13(3), 845-849.
18. Aggarwal, S. and Upadhyaya, L.M. (2022) On the Diophantine equation 8^α+〖67〗^β=γ^2, Bulletin of Pure & Applied Sciences-Mathematics and Statistics, 41(2), 153-155.
19. Goel, P., Bhatnagar, K. and Aggarwal, S. (2020) On the exponential Diophantine equation 〖M_5〗^p+〖M_7〗^q=r^2, International Journal of Interdisciplinary Global Studies, 14(4), 170-171.
20. Kumar, S., Bhatnagar, K., Kumar, N. and Aggarwal, S. (2020) On the exponential Diophantine equation (7^2m )+〖(6r+1)〗^n=z^2, International Journal of Interdisciplinary Global Studies, 14(4), 181-182.
21. Mishra, R., Aggarwal, S. And Kumar, A. (2020) On the existence of solution of Diophantine equation 〖211〗^α+〖229〗^β=γ^2, International Journal of Interdisciplinary Global Studies, 14(4), 78-79.
22. Aggarwal, S., Swarup, C., Gupta, D. and Kumar, S. (2022) Solution of the Diophantine equation 〖143〗^x+〖45〗^y=z^2, Journal of Advanced Research in Applied Mathematics and Statistics, 7(3 & 4), 1-4.
23. Aggarwal, S., Kumar, S., Gupta, D. and Kumar, S. (2023) Solution of the Diophantine equation〖143〗^x+〖485〗^y=z^2, International Research Journal of Modernization in Engineering Technology and Science, 5(2), 555-558.
24. Aggarwal, S., Swarup, C., Gupta, D. and Kumar, S. (2023) Solution of the Diophantine equation 〖143〗^x+〖85〗^y=z^2, International Journal of Progressive Research in Science and Engineering, 4(2), 5-7.
25. Aggarwal, S., Sharma, S.D. and Singhal, H. (2020) On the Diophantine equation 〖223〗^x+〖241〗^y=z^2, International Journal of Research and Innovation in Applied Science, 5 (8), 155-156.
26. Schoof, R. (2008) Catalan’s conjecture, Springer-Verlag, London.

Sudhanshu Aggarwal, Rajesh Pandey, Sanjay Kumar, "SOLUTION OF THE EXPONENTIAL DIOPHANTINE EQUATION 10^X + 400^Y=Z^2" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.13 issue 2, February 2024, pp.38-40 URL: https://doi.org/10.51583/IJLTEMAS.2024.130205

• Osinde Christine
  Kibabii University Kenya
• Dr Fred Gichana Atandi
  Kibabii University Kenya

References

1. Alexander Newman, Justine Ferrer, Maike Andresen & Yucheng Zhang (2023) Human resource management in times of crisis: what have we learnt from the recent pandemic? The International Journal of Human Resource Management, 34:15, 2857-2875, DOI:10.1080/09585192.2023.2229100
2. Adikaram, A. S., Naotunna, N., & Priyankara, H. P. R. (2021). Battling COVID-19 with human resource management bundling. Employee Relations: The International Journal, 43(6), 1269–1289. https://doi.org/10.1108/ER-08-2020-0390
3. Aitken-Fox, E., Coffey, J., Dayaram, K., Fitzgerald, S., McKenna, S., & Tian, A. W. (2022). Making sense of a mess: “Doing” resilience in the vortex of a crisis. Personnel Review, in press. https://doi.org/10.1108/PR-12-2021-0869
4. Bentley, F. S., Kehoe, R. R., & Chung, H. (2021). Investing for keeps: Firms’ prepandem¬ic investments in human capital decreased workforce reductions associated with COVID-19 financial pressures. The Journal of Applied Psychology, 106(12), 1785–1804. https://doi.org/10.1037/apl0001002
5. Branicki, L., Kalfa, S., & Brammer, S. (2022). Surviving Covid-19: The role of human resource managers in shaping organizational responses to societal paradox. British Journal of Management, 33(1), 410–434. https://doi.org/10.1111/1467-8551.12570
6. Brassey, J., Coe, E., Dewhurst, M., Enomoto, K., Giarola, R., Herbig, B., & Jeffery, B. (2022). Addressing employee burnout: Are you solving the right problem? McKinsey Health Institute, https://www.mckinsey.com/mhi/our-insights/addressing-employee-burnout-are-you-solving-the-right-problem.
7. Briscoe, J. P., Kaše, R., Dries, N., Dysvik, A., Unite, J. A., Adeleye, I., Andresen, M., Apospori, E., Babalola, O., Bagdadli, S., Çakmak-Otluoglu, K. Ö., Casado, T., Cerdin, J.-L., Cha, J.-S., Chudzikowski, K., Dello Russo, S., Eggenhofer-Rehart, P., Fei, Z., Gianecchini, M., … Zikic, J. (2021). Here, there, & everywhere: Development and validation of a cross-culturally representative measure of subjective career success. Journal of Vocational Behavior, 130, 103612. https://doi.org/10.1016/j.jvb.2021.103612
8. Butterick, M., & Charlwood, A. (2021). HRM and the COVID-19 pandemic: How can we stop making a bad situation worse? Human Resource Management Journal, 31(4), 847–856. https://doi.org/10.1111/1748-8583.12344
9. Carnevale, J. B., & Hatak, I. (2020). Employee adjustment and well-being in the era of COVID-19: Implications for human resource management. Journal of Business Research, 116, 183–187. https://doi.org/10.1016/j.jbusres.2020.05.037
10. Chambel, M. J., Castanheira, F., & Santos, A. (2022). Teleworking in times of COVID-19: The role of family-supportive supervisor behaviors in workers’ work-family manage¬ment, exhaustion and work engagement. The International Journal of Human Resource Management, this issue. 1–36. https://doi.org/10.1080/09585192.2022.2063064
11. Chang, E., Chin, H., & Lee, J. W. (2022). Pre-crisis commitment human resource manage¬ment and employees’ attitudes in a global pandemic: The role of trust in the govern¬ment. Human Resource Management, 61(3), 373–387. https://doi.org/10.1002/hrm.22097
12. Chu, P., & Siu, W. S. (2001). Coping with the Asian economic crisis: The rightsizing strategies of small and medium-sized enterprises. The International Journal of Human Resource Management, 12(5), 845–858. https://doi.org/10.1080/713769668
13. Chung, H. (2022). Variable work schedules, unit-level turnover, and performance before and during the COVID-19 pandemic. The Journal of Applied Psychology, 107(4), 515–532. https://doi.org/10.1037/apl0001006
14. Clark, A. E. (2009). Work, jobs and well-being across the millennium. In E. Diener, D. Kahneman, & J.F. Helliwell (Eds), International differences in well-being. Oxford University Press.
15. Clayton, S., & Hoyle, A. (2020). Help your employees manage their re-entry anxiety. Harvard Business Review, 24th June 2020.
16. Collings, D. G., Nyberg, A. J., Wright, P. M., & McMackin, M. (2021). Leading through paradox in a COVID-19 world: Human resources comes of age. Human Resource Management Journal, 31(4), 819–833. https://doi.org/10.1111/1748-8583.12343
17. Datta, D. K., & Basuil, D. (2015). Does employee downsizing really work? In M. Andresen & C. Nowak (Eds.), Human resource management practices (pp. 197–221). Springer.
18. Davis, D. (2021). 5 models for the post-pandemic workplace. Harvard Business Review, 3rd June 2021.
19. DeDee, J. K., & Vorhies, D. W. (1998). Retrenchment activities of small enterprises during economic downturn: An empirical investigation. Journal of Small Business Management, 36, 46–61.
20. Diener, E., & Ryan, K. (2009). Subjective well-being: A general overview. South African Journal of Psychology, 39(4), 391–406. https://doi.org/10.1177/008124630903900402
21. Ererdi, C., Nurgabdeshov, A., Kozhakhmet, S., Rofcanin, Y., & Demirbag, M. (2021). International HRM in the context of uncertainty and crisis: A systematic review of literature (2000–2018). The International Journal of Human Resource Management, 33(12), 2503–2540
22. Edvardsson, I.R.; Durst, S. (2021). Human Resource Management in Crisis Situations: A Systematic Literature Review.
23. Fee, A., & McGrath-Champ, S. (2017). The role of human resources in protecting expatriates: Insights from the international aid and development sector. The International Journal of Human Resource Management, 28(14), 1960–1985. https://doi.org/10.1080/09585192.2015.1137617
24. Fee, A., McGrath-Champ, S., & Berti, M. (2019). Protecting expatriates in hostile environ¬ments: Institutional forces influencing the safety and security practices of internationally active organizations. International Journal of Human Resource Management, 30(11), 1709–1736.
25. Fuller, J., & Kerr, W. (2022). The great resignation didn’t start with the pandemic. Harvard Business Review PMID: March 23rd.
26. Gan, J., Zhou, Z. E., Tang, H., Ma, H., & Gan, Z. (2023). What it takes to be an effec¬tive “Remote Leader” during the COVID-19 Crisis: The combined effects of supervi¬sor control and support behaviors. The International Journal of Human Resource Management, 1–23. this issue. https://doi.org/10.1080/09585192.2022.2079953
27. Goodman, D., & Mann, S. (2008). Managing public human resources following catastrophic events: Mississippi’s local governments’ experiences post—Hurricane Katrina. Review of Public Personnel Administration, 28(1), 3–19. https://doi.org/10.1177/0734371X07309827
28. Gunnigle, P., Lavelle, J., & Monaghan, S. (2013). Weathering the storm? Multinational compa¬nies and human resource management through the global financial crisis. International Journal of Manpower, 34(3), 214–231. https://doi.org/10.1108/IJM-04-2013-0078
29. Hahn, M., & Semrau, T. (2023). Virtual interaction and failure learning– The crucial role of team LMX composition. International Journal of Human Resource Management, this issue.
30. Hill, A. D., Lê, J. K., McKenny, A. F., O’Kane, P., Paroutis, S., & Smith, A. D. (2021). Introduction to Research Methods in Times of Crisis: The Case of COVID-19. In Research in Times of Crisis. (Vol. 13, pp. 1–11). Emerald Publishing Limited.
31. Homer-Dixon, T., Renn, O., Rockstrom, J., Donges, J. F., & Janzwood, S. (2021). A call for an international research program on the risk of a global polycrisis. Available at SSRN 4058592.
32. Huo, W., Gong, J., Xing, L., Tam, K. L., & Kuai, H. (2023). Voluntary versus involuntary telecommuting and employee innovative behaviour: A daily diary study. International Journal of Human Resource Management, this issue.
33. Iqbal, F., Bundy, J., & Pfarrer, M. D. (2021). Advancing research methods in crisis manage¬ment. In Research
34. Edvardsson, I.R.; Durst, S. (2021). Human Resource Management in Crisis Situations: A SystematicLiterature Review.
35. Natal’ya V. Buley et al (2016) Human Resource Management in the Context of the Global Economic Crisis. International Journal of Economics and Financial Issues, 2016, 6(S8) 160-165
36. Suder, G., Reade, C., Riviere, M., Birnik, A., & Nielsen, N. (2019). Mind the gap: The role of HRM in creating, capturing and leveraging rare knowledge in hostile environ¬ments. International Journal of Human Resource Management, 30(11), 1794–1821.

Osinde Christine, Dr Fred Gichana Atandi, "Human Resource Management in Times of Economic Uncertainty: Lessons from Financial Crises." International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.13 issue 2, February 2024, pp.41-47 URL: https://doi.org/10.51583/IJLTEMAS.2024.130206

• Ifeoluwa Oladele
  Kibabii University Kenya
• Adeyinka Orelaja
  Kibabii University Kenya
• Oladayo Tosin Akinwande
  Kibabii University Kenya

References

1. Adiguzel, T., Kaya, M. H., & Cansu, F. K. (2023). Revolutionizing education with AI: Exploring the transformative potential of ChatGPT. Contemporary Educational Technology, 15(3), ep429. https://doi.org/10.30935/cedtech/13152
2. Agbese, M., Alanen, H.-K., Antikainen, J., Halme, E., Isomäki, H., Jantunen, M., Kemell, K.-K., Rousi, R., Vainio-Pekka, H., & Vakkuri, V. (2021, September 1). Governance of Ethical and Trustworthy Al Systems: Research Gaps in the ECCOLA Method. IEEE Xplore. https://doi.org/10.1109/REW53955.2021.00042
3. Ahmed, F. A., Krishna, S. H., Ganeshkumar, K., & Manivel, R. (2023). EXPLORING THE IMPACT OF ARTIFICIAL INTELLIGENCE IN BUSINESS DECISION MAKING. Journal of Data Acquisition and Processing, 38(3), 686, 698. https://doi.org/10.5281/zenodo.7922977
4. Alejo, S., Ferrero, I., Pablo García Ruiz, & Tae Wan Kim. (2023). Editorial: Artificial intelligence (AI) ethics in business. Frontiers in Psychology, 14. https://doi.org/10.3389/fpsyg.2023.1258721
5. Andrada, G., Clowes, R. W., & Smart, P. R. (2022). Varieties of transparency: exploring agency within AI systems. AI & SOCIETY. https://doi.org/10.1007/s00146-021-01326-6
6. Bankins, S., & Formosa, P. (2023). The Ethical Implications of Artificial Intelligence (AI) For Meaningful Work. Journal of Business Ethics, 185(4), 725–740. https://doi.org/10.1007/s10551-023-05339-7
7. Bellamy, R. K. E., Mojsilovic, A., Nagar, S., Ramamurthy, K. N., Richards, J., Saha, D., Sattigeri, P., Singh, M., Varshney, K. R., Zhang, Y., Dey, K., Hind, M., Hoffman, S. C., Houde, S., Kannan, K., Lohia, P., Martino, J., & Mehta, S. (2019). AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias. IBM Journal of Research and Development, 63(4/5), 4:1–4:15. https://doi.org/10.1147/jrd.2019.2942287
8. Berente, N., Gu, B., Recker, J., & Santhanam, R. (2021). Managing Artificial Intelligence. MIS Quarterly, 45(3), 1433, 1450. https://doi.org/10.25300/MISQ/2021/16274
9. Bertoncini, A. L. C., & Serafim, M. C. (2023). Ethical content in artificial intelligence systems: A demand explained in three critical points. Frontiers in Psychology, 14. https://doi.org/10.3389/fpsyg.2023.1074787
10. Bird, E., Fox-Skelly, J., & Jenner, N. (2020). The ethics of artificial intelligence: Issues and initiatives. EPRS | European Parliamentary Research Service Scientific Foresight Unit (STOA). Brussels © European Union. isbn: 978-92-846-5799-5 doi: 10.2861/6644
11. Brock, J. K.-U., & von Wangenheim, F. (2019). Demystifying AI: What Digital Transformation Leaders Can Teach You about Realistic Artificial Intelligence. California Management Review, 61(4), 110–134. https://doi.org/10.1177/1536504219865226
12. Butcher, J., & Beridze, I. (2019). What is the State of Artificial Intelligence Governance Globally? The RUSI Journal, 164(5-6), 88–96. https://doi.org/10.1080/03071847.2019.1694260
13. Camilleri M. A. (2023). Artificial intelligence governance: Ethical considerations and implications for social responsibility. Expert Systems. https://doi.org/10.1111/exsy.13406
14. Carvalho, A., Levitt, A., Levitt, S., Khaddam, E., & Benamati, J. (2019). Off-The-Shelf Artificial Intelligence Technologies for Sentiment and Emotion Analysis: A Tutorial on Using IBM Natural Language Processing. Communications of the Association for Information Systems, 44(43), 918–943. https://doi.org/10.17705/1cais.04443
15. Collins, C., Dennehy, D., Conboy, K., &Mikalef, P. (2021). Artificial intelligence in information systems research: A systematic literature review and research agenda. International Journal of Information Management, 60, 102383. Science direct. https://doi.org/10.1016/j.ijinfomgt.2021.102383
16. Corea, F., Fossa, F., Loreggia, A., Quintarelli, S., & Sapienza, S. (2022). A principle-based approach to AI: the case for European Union and Italy. AI & SOCIETY. https://doi.org/10.1007/s00146-022-01453-8
17. David De Cremer, & Narayanan, D. (2023). How AI tools can—and cannot—help organizations become more ethical. How AI Tools Can—and Cannot—Help Organizations Become More Ethical, 6. https://doi.org/10.3389/frai.2023.1093712
18. Daza, M. T., & Ilozumba, U. J. (2022). A survey of AI ethics in business literature: Maps and trends between 2000 and 2021. Frontiers in Psychology, 13. https://doi.org/10.3389/fpsyg.2022.1042661
19. Edwards, L. (2022). The EU AI Act: a summary of its significance and scope Expert explainer. https://www.adalovelaceinstitute.org/wp-content/uploads/2022/04/Expert-explainer-The-EU-AI-Act-11-April-2022.pdf
20. Erdélyi, O. J., & Goldsmith, J. (2022). Regulating artificial intelligence: Proposal for a global solution. Government Information Quarterly, 39(4), 101748. https://doi.org/10.1016/j.giq.2022.101748
21. European Group on Ethics in Science and New Technologies Statement on Artificial Intelligence, Robotics and “Autonomous” Systems’. (2018). https://ec.europa.eu/%20research/ege/pdf/ege_ai_statement_2018.pdf%20accessed%2021%20June%202020;%20Sundar%20Pichai,%20%E2%80%98AI%20at%20Google:%20Our%20Principles%E2%80%99%20(7%20June%202018)%20www.blog.google/technology/ai/ai-principles
22. European Parliament P9_TA(2023)0236 Artificial Intelligence Act. (2019). https://www.europarl.europa.eu/doceo/document/TA-9-2023-0236_EN.pdf
23. Finocchiaro, G. (2023). The regulation of artificial intelligence. AI & Society. https://doi.org/10.1007/s00146-023-01650-z
24. Fjeld, J., Achten, N., Hilligoss, H., Nagy, A., & Srikumar, M. (2020). Principled Artificial Intelligence: Mapping Consensus in Ethical and Rights-Based Approaches to Principles for AI. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3518482
25. Fountaine, T., McCarthy, B., & Saleh, T. (2019, June 18). Building the AI-Powered Organization. Harvard Business Review. https://hbr.org/2019/07/building-the-ai-powered-organization
26. Gervais, D. J. (2021). Towards an effective transnational regulation of AI. AI & SOCIETY, 38. https://doi.org/10.1007/s00146-021-01310-0
27. Gonzalez, R. A., Ferro, R. E., & Liberona, D. (2020). Government and governance in intelligent cities, smart transportation study case in Bogotá Colombia. Ain Shams Engineering Journal, 11(1), 25–34. https://doi.org/10.1016/j.asej.2019.05.002
28. Henry, F. (2018). Review of Ferguson, Andrew Guthrie. 2017. The Rise of Big Data Policing: Surveillance, Race, and the Future of Law Enforcement. New York: New York University Press. 259 pages. Paperback ISBN: 9781479892822. Security Journal, 31(4), 927–928. https://doi.org/10.1057/s41284-018-0129-2
29. Hickok, M. (2022). Public procurement of artificial intelligence systems: new risks and future proofing. AI & SOCIETY. https://doi.org/10.1007/s00146-022-01572-2
30. Hollanek, T. (2020). AI transparency: a matter of reconciling design with critique. AI & SOCIETY. https://doi.org/10.1007/s00146-020-01110-y
31. Infocomm Media Development Authority (IMDA). (2022). Singapore launches world’s first AI testing framework and toolkit to promote transparency; Invites companies to pilot and contribute to international standards development. Infocomm Media Development Authority. https://www.imda.gov.sg/resources/press-releases-factsheets-and-speeches/press-releases/2022/sg-launches-worlds-first-ai-testing-framework-and-toolkit-to-promote-transparency
32. John-Mathews, J.-M., Cardon, D., &Balagué, C. (2022). From Reality to World. A Critical Perspective on AI Fairness. Journal of Business Ethics. https://doi.org/10.1007/s10551-022-05055-8
33. Koniakou, V. (2022). From the “rush to ethics” to the “race for governance” in Artificial Intelligence. Information Systems Frontiers. https://doi.org/10.1007/s10796-022-10300-6
34. Kop, M. (2021). EU Artificial Intelligence Act: The European Approach to AI. https://law.stanford.edu/wp-content/uploads/2021/09/2021-09-28-EU-Artificial-Intelligence-Act-The-European-Approach-to-AI.pdf
35. Lakshmi Aishwarya, G., Satyanarayana, V., Singh, M. K., & Kumar, S. (2022). Contemporary Evolution of Artificial Intelligence (AI): An Overview and Applications. Advances in Transdisciplinary Engineering, 130, 136. https://doi.org/10.3233/atde220731
36. LeCun, Y., Bengio, Y., & Hinton, G. (2015). Deep learning. Nature. 521(7553), 436–444.
37. Madaio, M. A., Stark, L., Wortman Vaughan, J., & Wallach, H. (2020). Co-Designing Checklists to Understand Organizational Challenges and Opportunities around Fairness in AI. Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, 1(1). https://doi.org/10.1145/3313831.3376445
38. Mäntymäki, M., Minkkinen, M., Birkstedt, T., & Viljanen, M. (2022). Defining organizational AI governance. AI and Ethics. https://doi.org/10.1007/s43681-022-00143-x
39. Monetary Authority of Singapore. (2019). Principles to Promote Fairness, Ethics, Accountability and Transparency (FEAT) in the Use of Artificial Intelligence and Data Analytics in Singapore’s Financial Sector. https://www.mas.gov.sg/~/media/MAS/News%20and%20Publications/Monographs%20and%20Information%20Papers/FEAT%20Principles%20Final.pdf
40. Mullins, M., Holland, C. P., & Cunneen, M. (2021). Creating ethics guidelines for artificial intelligence and big data analytics customers: The case of the consumer European insurance market. Patterns, 2(10), 100362. https://doi.org/10.1016/j.patter.2021.100362
41. Narwani, K., Lin, H., Pirbhulal, S., & Hassan, M. (2022). Towards AI-Enabled Approach for Urdu Text Recognition: A Legacy for Urdu Image Apprehension. IEEE Access, 4, 1–13. https://doi.org/10.1109/access.2022.3203426
42. O’Neil, C. (2016). Weapons of math destruction: How big data increases inequality and threatens democracy. Penguin Random House.
43. Organisation for Economic Co-operation and Development. (2022). Harnessing the power of AI and emerging technologies. DIRECTORATE FOR SCIENCE, TECHNOLOGY AND INNOVATION COMMITTEE ON DIGITAL ECONOMY POLICY.
44. Panetta, K. (2019). Gartner Predicts 2019 for Supply Chain Operations.”Smarter with Gartner. Https://Www.gartner.com/Smarter-Withgartner/Gartner-Predicts-2019-For-Supply-Chain-Operations/.
45. Perifanis, N.-A., & Kitsios, F. (2023). Investigating the influence of artificial intelligence on business value in the digital era of strategy: A literature review. Information, 14(2). Mdpi. https://www.mdpi.com/2078-2489/14/2/85
46. Raji, I. D., Smart, A., White, R. N., Mitchell, M., Gebru, T., Hutchinson, B., Smith-Loud, J., Theron, D., & Barnes, P. (2020). Closing the AI accountability gap. Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency. https://doi.org/10.1145/3351095.3372873
47. Rodríguez-Barroso, N., Stipcich, G., Jiménez-López, D., Ruiz-Millán, J. A., Martínez-Cámara, E., González-Seco, G., Luzón, M. V., Veganzones, M. A., & Herrera, F. (2020). Federated Learning and Differential Privacy: Software tools analysis, the Sherpa.ai FL framework and methodological guidelines for preserving data privacy. Information Fusion, 64, 270–292. https://doi.org/10.1016/j.inffus.2020.07.009
48. Schneider, J., Abraham, R., Meske, C., & Vom Brocke, J. (2022). Artificial Intelligence Governance For Businesses. Information Systems Management, 40(3), 1–21. https://doi.org/10.1080/10580530.2022.2085825
49. Silva, R. L., Canciglieri Junior, O., & Rudek, M. (2021). A road map for planning-deploying machine vision artifacts in the context of industry 4.0. Journal of Industrial and Production Engineering, 39(3), 167–180. https://doi.org/10.1080/21681015.2021.1965665
50. Smuha, N. A. (2019). The EU Approach to Ethics Guidelines for Trustworthy Artificial Intelligence. Computer Law Review International, 20(4), 97–106. https://doi.org/10.9785/cri-2019-200402
51. Stahl, B. C. (2021). Ethical Issues of AI. Artificial Intelligence for a Better Future, 35–53. https://doi.org/10.1007/978-3-030-69978-9_4
52. Stahl, B. C., Rodrigues, R., Santiago, N., & Macnish, K. (2022). A European Agency for Artificial Intelligence: Protecting fundamental rights and ethical values. Computer Law & Security Review, 45, 105661. https://doi.org/10.1016/j.clsr.2022.105661
53. Tan, S. C., Yen Lee, A. V., & Lee, M. (2022). A systematic review of artificial intelligence techniques for collaborative learning over the past two decades. Computers and Education: Artificial Intelligence, 3(2022), 100097. https://doi.org/10.1016/j.caeai.2022.100097
54. Teemu Birkstedt, Matti Minkkinen, Tandon, A., & Matti Mäntymäki. (2023). AI governance: themes, knowledge gaps and future agendas. Internet Research, 33(7), 133–167. https://doi.org/10.1108/intr-01-2022-0042
55. The White House. (2022). AI BILL OF RIGHTS MAKING AUTOMATED SYSTEMS WORK FOR THE AMERICAN PEOPLE. https://www.whitehouse.gov/wp-content/uploads/2022/10/Blueprint-for-an-AI-Bill-of-Rights.pdf
56. Wong, P.-H. (2020). Cultural Differences as Excuses? Human Rights and Cultural Values in Global Ethics and Governance of AI. Philosophy & Technology, 33(4), 705–715. https://doi.org/10.1007/s13347-020-00413-8
57. Wu, L., Dodoo, N. A., Wen, T. J., & Ke, L. (2021). Understanding Twitter conversations about artificial intelligence in advertising based on natural language processing. International Journal of Advertising, 1–18. https://doi.org/10.1080/02650487.2021.1920218
58. Wu, W., Huang, T., & Gong, K. (2020). Ethical Principles and Governance Technology Development of AI in China. Engineering, 6(3). https://doi.org/10.1016/j.eng.2019.12.015
59. Xu, Y., Wang, Q., An, Z., Wang, F., Zhang, L., Wu, Y., Dong, F., Qiu, C.-W., Liu, X., Qiu, J., Hua, K., Su, W., Xu, H., Han, Y., Cao, X., Liu, E., Fu, C., Yin, Z., Liu, M., & Roepman, R. (2021). Artificial Intelligence: A Powerful Paradigm for Scientific Research. The Innovation, 2(4), 100179. ScienceDirect. https://doi.org/10.1016/j.xinn.2021.100179
60. Zhang, B., Zhu, J., & Su, H. (2020). Toward the third generation of artificial intelligence. Science China Information Sciences,66(2), 1.19. https://doi.org/10.1360/ssi-2020-0204
61. Zhang, C., & Lu, Y. (2021). Study on Artificial Intelligence: The State of the Art and Future Prospects. Journal of Industrial Information Integration, 23(23), 100224. https://doi.org/10.1016/j.jii.2021.100224
62. Zhao, J., & Gómez Fariñas, B. (2022). Artificial Intelligence and Sustainable Decisions. European Business Organization Law Review, 24. https://doi.org/10.1007/s40804-022-00262-2
63. Zhu, T., Ye, D., Wang, W., Zhou, W., & Yu, P. (2021). More Than Privacy: Applying Differential Privacy in Key Areas of Artificial Intelligence. IEEE Transactions on Knowledge and Data Engineering, 1–1. https://doi.org/10.1109/tkde.2020.3014246
64. Zirar, A., Ali, S. I., & Islam, N. (2023). Worker and workplace Artificial Intelligence (AI) coexistence: Emerging themes and research agenda. Technovation, 124(124), 102747. Science Direct. https://doi.org/10.1016/j.technovation.2023.102747

Ifeoluwa Oladele, Adeyinka Orelaja and Oladayo Tosin Akinwande, "Ethical Implications and Governance of Artificial Intelligence in Business Decisions: A Deep Dive into the Ethical Challenges and Governance Issues Surrounding the Use of Artificial Intelligence in Making Critical Business Decisions" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.13 issue 2, February 2024, pp.48-56 URL: https://doi.org/10.51583/IJLTEMAS.2024.130207

• D. M. S. B. Dissanayake
  Department of Accountancy, Advanced Technological Institute, Kandy

References

1. Altman,E.I.(1968). Financial ratios, Discriminant analysis and the prediction of corporate bankruptcy, The Journal of Finance, 23, 589-609.
2. Altman,E.I.(1983). Corporate financial distress: A complete guide to predicting, avoiding and dealing with bankruptcy, New York: John Wiley & Sons
3. Altman, E. I., Hartzell, E.J., &Peck,M. (1995). Emerging market corporate bonds: A scoring system, New York: Saloman Brothers Inc.
4. Altman,E.I.(1993). Corporate financial distress and bankruptcy, 2nd ed., New York: John Wiley & Sons
5. Altman, E.I. (2000). Predicting financial distress of companies: Revisiting the Z-score and ZETA models, Journal of Banking and Finance
6. Affendi. H and Shaukat.A. (2015), Impact of financial distress on financial performance to Pakistani corporate sector, International Journal of Current Research Vol. 7, Issue, 02, pp.12991-12996, February 2015
7. Aguado, C. G. and Benito, M. E. 2012. Determinants of corporate default: A BMA approach, Applied Economic Letters, 20(6), 511-514
8. Altman, E. I. 1968. Financial ratios, discriminant analysis and the predication of corporate bankruptcy, The Journal of Finance, Vol 23, No.4.Pp. 589-609.
9. Barnes, P.(1987). The analysis and use of financial ratios: A review article, Journal of Business Finance and Accounting, 14(4), 449-461.
10. Beaver, W. H. (1966). Financial ratios as predictors of failures, Journal of Accounting Research, 4, 71-111.
11. Bergström, C., Eisenberg, T., & Sundgren, S. (2002). Secured debt and the likelihood of reorganization. International Review of Law and Economics, 21(4), 359-372.
12. Bellovary.J., Giacomino, D., & Akers, M. (2007). A review of bankruptcy prediction studies: 1930 to present, Journal of Financial Education, 33.
13. Bathory, A. 1984. Predicting corporate collapse: credit analysis in the determination and forecasting of insolvent companies. Financial Times Business Information.
14. Beaver, W. H. 1966. “Financial ratios as predictors of failure”, Journal of Accounting Research (Supplement), 4(3):71111.
15. Bernstein, L. A. 1988. Financial statement analysis, theory, application, and interpretation. Journal of Accounting Research, Vol. 3, 61-80.
16. Bum, J.K. (2007). Bankruptcy prediction: Book value or market value? Paper presented at 2007 APRIA Annual Meeting. Retrieved from http:// www.rmi.nccu.edu.tw/apria/docs.
17. Burns, R.B., & Burns, R.A. (2009). Research Methods and Statistics Using SPSS, (publication, 1st ed), Sage Publication Limited.
18. Bwisa, A. S. (2010). Evaluation of applicability of Altman’s revised model in prediction of financial distress in Kenya. (Unpublished MBA project). University of Nairobi.
19. Choy, S. L. W., Munusamy, J. Chelliah, S. and Mandari, A. 2011. Effects of financial distress condition on the company performance: A Malaysian perspective. Review of Economics and Finance, 1(4), 85-99.
20. Cudia, C. P. and Manaligod, G. T. 2011. EPS as a measure of intercompany performance: Philippine Evidence. Journal of International Business Research, 10(1), 79-90.
21. Dirman, A. (2020). Financial distress: the impacts of profitability, liquidity, leverage, firm size, and free cash flow. International Journal of Business, Economics and Law, 22(1), 17-25.
22. Eriotis, N. P. Frangouli, Z. and Neokosmides, V.Z. 2002. Profit margin and capital structure: an empirical relationship. The Journal of Applied Business Research, 18: Pp.85-88.
23. Garman, E. T., Sorhaindo, B., Kim, J., Xiao, J. J., Bailey, W., &Prawitz, A. 2004. The evolution of the Beta Version of the In Charge Financial Distress Scale. Consumer Interests Annual, 50, 134-144.
24. Goudie, A. W. 1987. "Forecasting corporate failure: the use of discriminant analysis within a disaggregated model of the corporate sector." Journal of the Royal Statistical Society. Series A (General), 69-81.
25. Graham, J. R. Harvey, C. R. and Rajgopal, S. 2005. The economic implications of corporate financial reporting. Journal of Accounting and Economics, 40(1), 3–73.
26. Khanna, T., Palepu, K. G., & Sinha, J. (2015). Strategies that fit emerging markets. In International Business Strategy (pp. 615-631). Routledge.
27. Kochhar, R. (1997). Strategic assets, capital structure, and firm performance. Journal of Financial and Strategic Decisions, Vol.10, No3, pp. 23–36.
28. Kootanaee, H. J., Kootanaee, A. J., Talari, H. F. and Babu, K. N. 2012. A comparison of performance measures for finding the best measure of business entity performance: Source from the Tehran Stock Exchange, Journal of Finance and Investment Analysis, vol. 1, no.4, 27-35.
29. Kuntluru, S., Muppani, V. R., & Khan, M. A. A. (2008). Financial performance of foreign and domestic-owned companies in India. Journal of Asia-Pacific Business, 9(1), 28–54.
30. Kuruppu, N., Laswad, F., &Oyelere, P. 2003. The efficacy of liquidation and bankruptcy prediction models for assessing going concern. Managerial Auditing Journal, 18(6/7), 577-590.
31. Lakshana A.M.I., & Wijekoon, W. (2012). Corporate governance and corporate failure. Journal of Economics and Finance, 191-198.
32. Lakshan, A. M. I., & Wijekoon, N. (2013). The use of financial ratios in predicting corporate failure in Sri Lanka.
33. Mamo, A. Q. (2011). Applicability of Altman's (1968) model in predicting financial distress of commercial banks in Kenya. (Unpublished MBA Project). University of Nairobi
34. Martani, D. and Mulyono, R. K. 2009. The effect of financial ratios, firm size, and cash flow from operating activities in the interim report to the stock return. Chinese Business Review, 8(6), 44-55.
35. Menaje, P. M. (2012). Impact of Selected Financial Variables on Share Price of Publicly Listed Firms in the Philippines. American International Journal of Contemporary Research, 2(9), 98-104.
36. Opler, T. C &Titiman, S. (1994). Finance Distress and Corporate Performance. The Journal of Finance, 49(3), 1015-1040.
37. Pranowo, K., Achsani, N. A., Manurung, A. H. and Nuryartono, N. 2010. Determinant of corporate financial distress in an emerging market economy. International Research Journal of Finance and Economics, 52, 80-88.
38. Rawi, K. (2008). The Use of Altman Equation For Bankruptcy Prediction In An Industrial Firm. International Business and Economics Research Journal, Vol.7,115-128.
39. Rehman, A. and Nasar, M. 2007. Working capital management and profitability (A case of Pakistani firms), International Review of Business Research, Vol.3, No.1, Pp.279-300.
40. Samarakoon, L.P., & Hasan, T. (2003). Altman’s Z-Score models of predicting corporate distress: Evidence from the emerging Sri Lankan stock market, Journal of the Academy of Finance, 1, 119-125.
41. Shaukat, A., Affandi, H. (2015). Impact of financial distress on financial performance - A study related to Pakistani corporate sector. International Journal of Current Research, 7(2), 12991-12996
42. Shakoor, F. Khan, A. Q. and Nawab, S. 2012. The interlinkages of working capital and profitability in Pakistan. Academic Research Journal, Vol. 3(2).
43. Sheela, S. & Karthikeyan, K. (2012). Evaluating financial health of pharmaceutical industry in India through a z score model. International Journal of Social Sciences, Vol.1 No.5
44. Shumway, T. (2001). Forecasting bankruptcy more accurately: A Simple Hazard Model, The Journal of Business School, 74(1), 101–124.
45. Taani, K. &Banykhaled, M.H.H. (2011). The impact of financial ratios, firm size and cash flows from operating activities on earning per share (An applied study on Jordanian industrial sector). International Journal of Social and Humanities Studies, Vol 3(1), 197-205
46. Tan, T. K. (2012). Financial distress and firm performance: An evidence from the Asian financial crisis. Journal of Finance and Accountancy, pp. 11, 36–45.
47. Waddock, S. A. and Graves, S. B. (1997). The corporate social performance-financial performance link. Strategic Management Journal, 18 (4). 303–319.
48. Waqas, H. Hussain, N. & Anees, U. (2014). Zmijewski Financial distress prediction model and its predictability, A case of Karachi stock exchange. Journal of Basic and Applied Scientific Research, 4(4)155-163

D. M. S. B. Dissanayake, "Impact of Financial Distress on Financial Performance: Evidence from Manufacturing Companies in the Colombo Stock Exchange" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.13 issue 2, February 2024, pp.57-64 URL: https://doi.org/10.51583/IJLTEMAS.2024.130208

• Theeradach Kaewong
  Department of Accountancy, Advanced Technological Institute, Kandy
• Wariam Chuayjan
  Department of Accountancy, Advanced Technological Institute, Kandy
• Sutthiwat Thongnak
  Department of Accountancy, Advanced Technological Institute, Kandy

References

1. Burshtein, N., (2019) A short note on solutions of the Diophantine equations 6x+11y = z2 and 6x -11y = z2 in positive integers x, y, z Annals of Pure and Applied Mathematics, 19(2), 55 – 56.
2. Burton, D. M., (2011) Elementary Number Theory, The McGraw-Hill and in positive integers Companies.
3. Buosi, M., Lemos, A., Porto, A. L. P. and Santiago, D. F. G., (2020) On the Exponential Diophantine Equation px - 2y = z2 with p = k2+ 2, a Prime Number, Southeast-Asian Journal of Science,8(2), 103-109.
4. Mihailescu, P., (2004) Primary Cyclotomic Units and a Proof of Catalan’ s Conjecture, Journal fur die Reineund Angewandte
5. Mathematik, 572, 167–195.
6. Rabago, J. F. T., (2018) On the Diophantine equation 4x - py = z2 where p is a prime, Thai Journal of Mathematics, 16(3), 643-650.
7. Tadee, S., (2022) On the Diophantine equation (p+6)x - py = z2 where p is a Prime number with p≡1(mod 28), Journal of Mathematics and Informatics, 23, 51-54.
8. Tadee, S., (2022) On the Diophantine equation 3x+py = z2 where is a prime, Journal of Science and Technology Thonburi University, 7(1), 1-6.
9. Tadee, S., (2023) A short note on two Diophantine 9x+3y = z2and 13x -7y = z2, Journal of Mathematics and Informatics, 24, 23-25.
10. Thongnak, S., Chuayjan, W. and Kaewong T., (2019) On the Exponential Diophantine equation 2x+3y = z2, Southeast-Asian Journal of Sciences, 7(1), 1-4.
11. Thongnak, S., Chuayjan, W. and Kaewong, T., (2021) The Solution of The Exponential Diophantine equation 7x+5y = z2, Mathematical Journal, 66(703), 62-67.
12. Thongnak, S., Chuayjan, W. and Kaewong, T., (2022) On the Diophantine equation 7x-2y = z2 where x, y, and z are non-negative integers, Annals of Pure and Applied Mathematics, 25(2), 63-66.
13. Thongnak, S., Chuayjan, W. and Kaewong, T.,(2023) On the Diophantine equation 15x-13y = z2 , Annals of Pure and Applied Mathematics, 27(1), 23-26.
14. Thongnak, S., Kaewong, T. and Chuayjan, W., (2023) On the Diophantine equation 55x-53y = z2, Annals of Pure and Applied Mathematics, 27(1), 27-30.

Theeradach Kaewong, Wariam Chuayjan, and Sutthiwat Thongnak, "On the Exponential Diophantine Equation 17^x – 11^y = z^2 " International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.13 issue 2, February 2024, pp.65-67 URL: https://doi.org/10.51583/IJLTEMAS.2024.130209

• Idaminabo Nengi Dapa
  Department of Urban and Regional Planning, Rivers State University, Nkpolu Oroworukwo, Port Harcourt
• Simeipiri Wenike Johnbull
  Department of Urban and Regional Planning, Rivers State University, Nkpolu Oroworukwo, Port Harcourt
• Enwin, Athony Dornubari
  Department of Urban and Regional Planning, Rivers State University, Nkpolu Oroworukwo, Port Harcourt
• Tamunoikuronibo Dawaye Ikiriko
  Department of Urban and Regional Planning, Rivers State University, Nkpolu Oroworukwo, Port Harcourt

References

1. Afrin, T., & Yodo, N. (2020). A survey of road traffic congestion measures towards a sustainable and resilient transportation system. Sustainability, 12(11), 4660.
2. Arnott, R., & Small, K. (1994). The economics of traffic congestion. American scientist, 82(5), 446-455.
3. Banister, D. (2015). Great cities and their traffic: Michael Thomson revisited. Built Environment, 41(3), 435-446.
4. Behrends, S., Silva, J., & Musso, C. (2012). Integration between inland waterway transport and road networks in urban areas. Transportation Research Part A: Policy and Practice, 46(1), 1-15.
5. Boyce, D. E. (2008). Urban freight: Issues and opportunities. Transportation Research Part A: Policy and Practice, 42(2), 256-274.
6. International Journal of Engineering and Technology (2011). Inland Waterway Transportation: A Sustainable Alternative. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3704740
7. Ishak, S., & Farhan, L. (2020). The impact of traffic congestion on air quality in Malaysia. Transportation Research Part D: Transport and Environment, 72, 102496.
8. Johnbull, S.W.(2024).Key Informants’ Perceptions of the Challenges to Port Harcourt’s Inland Water Transportation. International Journal of Advance Research in Engineering & Management (IJAREM) ISSN:2456-2033//Pp.13-22.
9. Nunes, P. R., Vilaça, P. M., & Abreu, C. M. (2017). Accessibility planning and sustainable urban mobility: An integrated approach for waterfront areas. Journal of Transport Geography, 66, 240-253.
10. OECD. (2017). Urban mobility: A new paradigm for cities. OECD Publishing.
11. Osoja, A. O. (2019). Complimentary Role of Water Transport Travel Along Ikorodu-Lagos Island Areas of Lagos Metropolis. East African Scholars Journal of Education, Humanities and Literature, 2(2), 105-117.
12. Ozguven, C., Ozerol, G., & Ergun, N. (2022). Investigating the determinants of traffic congestion in developing countries: The case of Port Harcourt, Nigeria. Transportation Research Part A: Policy and Practice, 159, 256-271.
13. Punch Newspapers (2020, Nov. 23). Water transportation will reduce port congestion —NIWA. https://punchng.com/water-transportation-will-reduce-port-congestion-niwa/
14. Punch Newspapers (2016, February 3). Easing traffic congestion through waterways. https://punchng.com/easing-traffic-congestion-through-waterways/
15. Reed, T.; Kidd, J. Global Traffic Scorecard; INRIX Research: Altrincham, UK, 2019.
16. Rouse, W. J. (2017). Environmentally sustainable urban freight transport. Logistics, 1(1), 2.
17. Shaheen, S., Stocker, A., & Meza, R. (2019). Social Equity Impacts of Congestion Management Strategies.
18. The World Bank (2021). The Environmental Benefits of Inland Water Transportation. https://documents1.worldbank.org/curated/en/214851554188572807/pdf/Sustainable-Development-of-Inland-Waterways-Transport-in-Vietnam-Strengthening-the-Regulatory-Institutional-and-Funding-Frameworks.pdf
19. InfoGuideNigeria.com (2023). More investments needed to improve Inland Water Transport. https://infoguidenigeria.com/problems-and-challenges-of-water-transportation/
20. UNCTAD. (2018). Review of maritime transport 2018. United Nations Conference on Trade and Development.
21. UN-Habitat. (2013). Sustainable urban mobility: A guide for developing cities. United Nations Human Settlements Programme.
22. World Bank. (2020). Global Mobility Report 2020

Idaminabo Nengi Dapa; Simeipiri Wenike Johnbull; Enwin, Athony Dornubari and Tamunoikuronibo Dawaye Ikiriko, "Understanding Inland Water Transportation Dynamics in Port Harcourt " International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.13 issue 2, February 2024, pp.68-78 URL: https://doi.org/10.51583/IJLTEMAS.2024.130210

• Theeradach Kaewong
  Department of Mathematics and Statistics, Faculty of Science and Digital Innovation, Thaksin University, Phatthalung 93210, Thailand.
• Sutthiwat Thongnak
  Department of Mathematics and Statistics, Faculty of Science and Digital Innovation, Thaksin University, Phatthalung 93210, Thailand.
• Wariam Chuayjan
  Department of Mathematics and Statistics, Faculty of Science and Digital Innovation, Thaksin University, Phatthalung 93210, Thailand.

References

1. Acu, D., (2007) On a Diophantine Equation2^x+5^y=z^2, General Mathematics, 15(4), 145-148.
2. Aggarwal, S., Swarup, C., Gupta, D., and Kumar, S., (2023) Solution of the Diophantine Equation143^x+85^y=z^2, International Journal of Progressive Research in Science and Engineering, 4(22), 5 – 7.
3. Aggarwal, S., Kumar, S., Gupta, D., and Kumar, S., (2023) Solution of the Diophantine Equation143^x+485^y=z^2, International Research Journal of Modernization in Engineering Technology and Science, 5(2), 555 – 558.
4. Behera, S.P.and Panda, A.C., (2021) Nature of the Diophantine Equation4^x+12^y=z^2, International Journal of Innovative Research in Computer Science & Technology (IJIRCST), 9(6), 11-12.
5. Burton, D. M., (2011) Elementary Number Theory, The McGraw-Hill and in positive integers Companies.
6. Kumar, S. and Aggarwal, S., (2021) On the Exponential Diophantine Equation 439^p+457^q=r^2, Journal of Emerging Technologies and Innovation Research, 8(3), 2357-2361.
7. Sroysang, B., (2013) More on the Diophantine Equation 2^x+19^y=z^2, International Journal of Pure and Applied Mathematics, 88(1), 157-160.
8. Sugandha, A., Tripena, A., Prabowo, A. and Sukono, F., (2018) Nonlinear Diophantine Equation 11^x+13^y=z^2, IOP Conf. Series: Materials Science and Engineering, 332, 1- 4.
9. Suvarnamani, A., (2011) On two Diophantine Equation 4^x+7^y=z^2 and〖 4〗^x+11^y=z^2, Science and Technology RMUTT Journal, 1(1), 25-28.
10. Tadee, S., and Thaneepoon, N., (2023) On the Diophantine equation 6^x+p^y=z^2where p is Prime, International Journal of Mathematics and Computer Science, 18(4), 737-741.
11. Thongnak, S., Chuayjan, W. and Kaewong, T., (2022) On the Exponential Diophantine Equation 2^x+15^y=z^2, Annals of Pure and Applied Mathematics, 26(1), 1-5.
12. Viriyapong, N. and Viriyapong, C., (2023) On the Diophantine equation 255^x+323^y=z^2, International Journal of Mathematics and Computer Science, 18(3), 521 – 523.

Theeradach Kaewong, Sutthiwat Thongnak, and Wariam Chuayjan, "On the Exponential Diophantine Equation 305^x+503^y=z^2 " International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.13 issue 2, February 2024, pp.79-81 URL: https://doi.org/10.51583/IJLTEMAS.2024.130211

• Tian He
  School of History and Culture, Linyi University, Linyi, 276000, China
• Ying Guo
  Institute of Geology and Paleontology, Linyi University, Linyi, 276000, China
• Ru Zhang
  School of History and Culture, Linyi University, Linyi, 276000, China
• Ping Nie
  Research Center of Revolutionary Cultural Relics, Linyi University, Linyi, 276000, China
  School of Foreign Language, Linyi University, Linyi, 276000, China

References

1. Rahman, A, A, Hasshim, S, A, Rozali R.(2015).Residents' preference on conservation of the Malay traditional village in Kampong Morten, Malacca. Procedia-Social and Behavioral Sciences, 202: 417-423.
2. Kim, G, W, Kang, W, Park, C, R, et al. (2018).Factors of spatial distribution of Korean village groves and relevance to landscape conservation. Landscape and Urban Planning,176: 30-37.
3. Savvides, A, Michael, A, Malaktou, E, et al. (2016).Examination and assessment of insolation conditions of streetscapes of traditional settlements in the Eastem Mediterranean area. Habitat International, 53: 442-452.
4. Dewi, L, K, Y. (2014).Modeling the relationships between tourism sustainable factor in the traditional village of Pancasari. Procedia-Social and Behavioral Sciences, 135: 57-63.
5. Hu, J., Teng, Y., Fan, Y., Li, L.(2021).Spatial distribution and influencing factors of traditional villages in Guangxi Zhuang Autonomous Region. Journal of Guilin University of Technology,41(3):580-588.
6. Xu, D., Huang, Z. Hu, X., et al. (2018).The spatial pattern evolution and its influencing factors of county-scale tourism efficiency in Zhejiang Province. Economic Geography,38(05):197-207
7. Li, J., Peng, K.(2020).Research on spatial distribution characteristics and influencing factors of museums in Anhui Province. Resource Development & Market,36(11):1307-1312.
8. Liu, Z., Liu, S. ,Liu, J., et al.(2020).Spatial distribution characteristics of museums in Wuling mountain area and influential factors. Journal of Jishou University (Natural Sciences Edition),43(1):53-63.
9. Jiao, M., Chen, Y., Wu, J., et al.(2022).Construction from the geospatial perspective research on the current situation and influencing factors of Yunnan Museums. Frontiers of Museology,1:37-50.
10. Ma, H., Wang, H., Li, X., et al.(2017).Multi-scale analysis of spatial distribution characteristics of museums in China. Human Geography,32(06):87-94.
11. Yang, Y., Zhang, J.(2009).The analysis of spatial distribution features of museums in Beijing City. Human Geography,24(05):52-54.
12. Zhou, M.(2017).The study on the type and spatial distribution of museums in Shanghai. East China Normal University.
13. Liu, N., Chen, Y.(2011).Study on The Spatial Distribution Features of Cultural Venues in Xi'an. Journal of QufuNormalUniversity,37(3):103-107.
14. Mou, S., Hu, C., Li, Z. (2020).Study on The Spatial distribution characteristics and influencing factors of museums in Chongqing. Journal Chongqing Technology Business University (Natural Sciences Edition),37(6):111-119.
15. Zhan, S., Liu, Y., Cheng, Z.(2021).Spatial distribution and evolution characteristics of museums in Shaanxi Province. Management and Administration, 6:115-124.
16. Liu, W.(2018).Research on Spatial Distribution and The Micro-Location Factor of Xi'an Museum. Xi`an International Studies University.

Tian He, Ying Guo, Ru Zhang, Ping Nie, "Spatial Distribution Characteristics and Influencing Factors of Museums in Linyi, China" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.13 issue 2, February 2024, pp.82-92 URL: https://doi.org/10.51583/IJLTEMAS.2024.130212

• Oluwasanya T.
  Department of Logistics and Transport Technology, Federal University of Technology, Akure, Nigeria
• Enyinda, C.A.
  Department of Logistics and Transport Technology, Federal University of Technology, Akure, Nigeria
• Olisa B. S.
  Department of Logistics and Transport Technology, Federal University of Technology, Akure, Nigeria
• Stephens, M. S.
  Department of Logistics and Transport Technology, Federal University of Technology, Akure, Nigeria

References

1. Broadbent D. (2017). Noise in Relation to Annoyance, Performance and Mental Health. J. Acoust. Soc. Am, Vol. 68(1): 15-17.
2. Hodgson, M. (2004). UBC-Classroom acoustical survey",. Canadian Acoustics.
3. Kiely., G. (2017). Environmental Engineering. In Environmental Engineering, McGraw-Hill: (pp. 390-418).
4. Menkiti, Nwasinachi U.; Agunwamba, Jonah C. (2015). "Assessment of noise pollution from electricity generators in a high-density residential area". African Journal of Science, Technology, Innovation and Development, 7 (4): 306–312,. doi:doi:10.1080/20421338.2015.1082370
5. National Polulation Commission. (2006). National Polulation Census. Abuja: National Polulation Commission.
6. Rodrigue, J.-P. (2020). The Geography of Transport Systems. In Transportation and the Environment (fifth edition ed., p. 456 pages). New York: Routledge. Retrieved 2021
7. Rukikaire, K. (2020). New UN report details environmental impacts of export of used vehicles to developing world. News and Media, UN Environment Programme (UNEP).
8. Sanja Grubesa and Mia Suhanek. (2020). Traffic Noise, Noise and Environment. doi:DOI: 10.5772/intechopen.92892.
9. Wallis, I. (2016). Contribution of transport to economic development: Summary Report on Economic development and transport project. New Zealand: Ministry of Transport New Zealand.
10. WHO. (2018). Guidelines for Community Noise. World Health Organization information.
11. WHO. (2019). Environmental health criteria of noise.

Oluwasanya T., Enyinda, C.A., Olisa B. S., Stephens, M. S., "Level of Awareness of Transport Externalities on Noise Pollution in Akure, Nigeria." International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.13 issue 2, February 2024, pp.93-99 URL: https://doi.org/10.51583/IJLTEMAS.2024.130213

• Brian Wakasala
  Department of Economics, Finance and Accounting, KIBABII UNIVERSITY
• Dr. Fred Atandi
  Department of Economics, Finance and Accounting, KIBABII UNIVERSITY

References

1. Abdul, D., Wenqi, J., & Tanveer, A. (2022). Environmental stewardship: Analyzing the dynamic impact of renewable energy, foreign remittances, and globalization index on China's CO2 emissions. Renewable Energy, 201, 418-425
2. Aung, Y. M., Khor, L. Y., Tran, N., Akester, M., & Zeller, M. (2023). The impact of sustainable aquaculture technologies on the welfare of small-scale fish farming households in Myanmar. Aquaculture Economics & Management, 27(1), 66-95.
3. Barasa, P. M., Botai, C. M., Botai, J. O., & Mabhaudhi, T. (2021). A review of climate-smart agriculture research and applications in Africa. Agronomy, 11(6), 1255.
4. Chen, J. Y., Dimitrov, S., & Pun, H. (2019). The impact of government subsidy on supply Chains’ sustainability innovation. Omega, 86, 42-58.
5. Cortez Tellez, A. (2022). Guidelines for sustainable agricultural investments for Burkina Faso, Ethiopia, Kenya, and Niger: AgrInvest-Food Systems Project. Food & Agriculture Org.
6. Gebre, G. G., Amekawa, Y., &Fikadu, A. A. (2023). Farmers′ use of climate change adaptation strategies and their impacts on food security in Kenya. Climate Risk Management, 40, 100495.
7. Gielen, D., Gorini, R., Wagner, N., Leme, R., Gutierrez, L., Prakash, G., ...& Renner, M. (2019). Global energy transformation: a roadmap to 2050.
8. Kariuki, C. N., Kathambi, B. E., & Inyega, J. O. (2023). Incorporating Capacity Building as a Pathway to Environmental Stewardship for Public Schools in Kenya. Indonesian Journal of Social and Environmental Issues (IJSEI), 4(1), 1-11.
9. Kitainge, K. M. (2022). Trends and challenges in engineering and technology innovation in Kenya: An analysis of students’ projects.
10. Kurniawan, K., Supriatna, J., Sapoheluwakan, J., Soesilo, T. E. B., Mariati, S., & Gunarso, G. (2022). The analysis of forest and land fire and carbon and greenhouse gas emissions on the climate change in Indonesia. AgBioForum, 24(2), 1-11.
11. Mungai, E. M., Ndiritu, S. W., &Rajwani, T. (2020). Do voluntary environmental management systems improve environmental performance? Evidence from waste management by Kenyan firms. Journal of Cleaner Production, 265, 121636.
12. Munir, M. A., Habib, M. S., Hussain, A., Shahbaz, M. A., Qamar, A., Masood, T., ...& Salman, C. A. (2022). Blockchain adoption for sustainable supply chain management: Economic, environmental, and social perspectives. Frontiers in Energy Research, 10, 899632.
13. Nabango, H., &Majale, C. (2022). Towards a Circular Economy: A Review on Asbestos Waste Management Regulations in Kenya. East African Journal of Environment and Natural Resources, 5(1), 34-47.
14. Ontiri, G. K., & Amuhaya, L. L. (2022). Integration of Mechatronic and Automation Technology in Sustainable Farming for Achieving Food Security in Kenya. European Journal of Electrical Engineering and Computer Science, 6(1), 66-71.
15. Owen, R., Brennan, G., & Lyon, F. (2018). Enabling investment for the transition to a low carbon economy: Government policy to finance early stage green innovation. Current opinion in environmental sustainability, 31, 137-145.
16. Prinsloo, P., &Kaliisa, R. (2022). Data privacy on the African continent: Opportunities, challenges and implications for learning analytics. British Journal of Educational Technology, 53(4), 894-913
17. Ramzan, M., Razi, U., Usman, M., Sarwar, S., Talan, A., & Mundi, H. S. (2024). Role of nuclear energy, geothermal energy, agriculture, and urbanization in environmental stewardship. Gondwana Research, 125, 150-167.
18. Shah, P., & Atisa, G. (2021). Environmental education and awareness: the present and future key to the sustainable management of Ramsar convention sites in Kenya. International Environmental Agreements: Politics, Law and Economics, 21(4), 611-630.
19. Shaikh, Z. A. (2017). Towards sustainable development: A review of green technologies. Trends in Renewable Energy, 4(1), 1-14.
20. Smith, K., Singh, M. I., & Breeze Ceballos, C. (2023). An Interdisciplinary Approach to the Grand Challenges: Tackling the Climate Crisis Using Multisolving. Journal of Social Work Education, 1-9.
21. Szulczewski, M. L., MacMinn, C. W., Herzog, H. J., &Juanes, R. (2012). Lifetime of carbon capture and storage as a climate-change mitigation technology. Proceedings of the National Academy of Sciences, 109(14), 5185-5189.
22. Voumik, L. C., Ridwan, M., Rahman, M. H., & Raihan, A. (2023). An investigation into the primary causes of carbon dioxide releases in Kenya: Does renewable energy matter to reduce carbon emission? Renewable Energy Focus, 47, 100491.
23. Wang, F., Harindintwali, J. D., Wei, K., Shan, Y., Mi, Z., Costello, M. J., ...&Tiedje, J. M. (2023). Climate change: Strategies for mitigation and adaptation. The Innovation Geoscience, 1(1), 100015-61.
24. Weerasingha, W. A. D. B., &Ratnayake, A. S. (2022). Coastal landform changes on the east coast of Sri Lanka using remote sensing and geographic information system (GIS) techniques. Remote Sensing Applications: Society and Environment, 26, 100763
25. Zhu, S., Liu, Q., Qiu, S., Dai, J., &Gao, X. (2022). DNA barcoding: an efficient technology to authenticate plant species of traditional Chinese medicine and recent advances. Chinese Medicine, 17(1), 1-17.

Brian Wakasala, Dr. Fred Atandi, "Transformative Technologies and Innovation in Climate Change Mitigation and Sustainable Environmental Stewardship. A Systematic Literature Review." International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.13 issue 2, February 2024, pp.100-107 URL: https://doi.org/10.51583/IJLTEMAS.2024.130214

• Anuja Gopal
  Maharaja Ranjit Singh Punjab Technical University Bathinda, Punjab, India SPA, New Delhi, India
• Bhupinderpal Singh Dhot
  Maharaja Ranjit Singh Punjab Technical University Bathinda, Punjab, India SPA, New Delhi, India
• Jatinder Kaur
  Maharaja Ranjit Singh Punjab Technical University Bathinda, Punjab, India SPA, New Delhi, India

References

1. King, K. (2012). The geopolitics and meaning of India's massive skills development ambitions. International Journal of Educational Development, 32(5), 665-673. Retrieved from https//doi.org/10.1016/j.ijedudev.2012.02.001
2. NASSCOM. (n.d.). Skills for Employability. Retrieved from nasscomfoundation.org: https://nasscomfoundation.org/skills-for-employability/#
3. Sharma, Y. S. (2022). The Economic Times News.
4. (2022) India Skill Report. https: //wheebox.com(accessed on 27/06/2023)
5. Khodeir, L. M., & Nessim, A. A. (2020). Changing skills for architecture students employability: Analysis of job market versus architecture education in Egypt. Ain Shams Engineering Journal Architectural Education, 11(3), 811-821. doi:https://doi.org/10.1016/j.asej.2019.11.006
6. Makrafi, A. A. (2014). Strategies For Improving Practical Projects In Woodwork In Colleges Of Education (Technical) In North-Western States Of Nigeria. Thesis Report for the award of master degree in industrial technical education, University of Nigeria, Nsukka. , Department of Vocational Teacher Education, University of Nigeria, Nsukka. .
7. Bhatnagar , N., & Bhatnagar , M. (2012). Effective Communication and Soft Skills- Strategies for Success (1 ed.). Pearson Education India and ICFAI University Press.
8. Hashim, J. (2012). Academic excellence as selection criteria among Malaysian employers. Higher Education, Skills and Work-Based Learning, 2(1).
9. Suleman, F. (2018). The employability skills of higher education graduates: insights into conceptual frameworks & methodological options. Higher Education 765, 76, 263-278.
10. Chithra, R., & Banumati, M. (2014). Employability Skills For Engineering Graduates in Software Products and Services Companies: An Empirical Analysis. Global Business Transcendence: International Perspectives across Developed and Emerging Economies, 124-140.
11. Architects(RIBA), R. I. (2014). Skill Survey Report. RIBA Appointments.https://cdn.rt.emap.com(accessed on 22/05/2023)
12. Yusoff, Y. M., Omar, M. Z., Zaharim, A., Muhamad, N., & Mustapa, R. (2010). Enhancing Employability Skills through Industrial Training Programme. Latest Trends on Engineering Education, 398-403.
13. Johari, M. H., Zain, R. M., Zaharim, A., Basri, H., & Omar, M. Z. (2011). Perception and expectation towards engineering graduates by employers: A UKM study case. In 3. I. (ICEED) (Ed.)., (pp. 203-207).
14. Selvadurai, S., Ah Choy, E., & Maros, M. (2012). Generic Skills of Prospective Graduates from the Employers. Asian Social Science, 8(12), 295-303. doi:10.5539/ass.v8n12p295
15. Readkong. (2009). Future Fit: Preparing graduates for the world of work. London, England: Confederation of British Industry(CBI). Retrieved from http://hdl.voced.edu.au/10707/69384
16. Hillage, J., & Pollard, E. (1998). Employability: Developing a Framework for Policy Analysis, Research Brief. Department for Education and Employment (DfEE), 85.
17. Garavan, T. N. (1999). Employability, the emerging new deal? J. Eur. Ind. Train., 23(1).
18. Harvey, L. (2001). Defining and Measuring Employability. Quality in Higher Education, 7(2). doi:10.1080/13538320120059990
19. UUK, Harvey, L., Locke, W., & Morey, A. (2002). Enhancing Employability, Recognising Diversity Making links between higher education and the world of work. UUK: London and CSU: Manchester: CSU.
20. Grip , A. d., Loo, J. V., & Sanders, J. (2004). The Industry Employability Index: taking account of supply and demand characteristics. Int. Labour Rev., 143(3), 211-233.
21. Fugate, M., Kinicki, A. J., & Ashforth, B. E. (2004). Employability: A psycho-social construct, its dimensions, and applications. Journal of Vocational Behavior, 65(1), 14–38.
22. Rothwell, A., Jewel, S., & Hardie, M. (2009). Self-perceived employability: Investigating the responses of post-graduate students. Journal of Vocational Behavior, 75, 152–161. doi:10.1016/j.jvb.2009.05.002
23. Imren, M. (2006). A review of literature on employability skill needs in engineering. European Journal of Engineering Education, 31(6), 637-650.
24. Dass, M. M., Sarfraz, I., Hewege, C. R., & Rajendran, D. (2018). An exploration of global employability skills: A systematic research review. International Journal of Work Organisation and Emotion, 9(1).
25. Robinson, D. P. (2000). What Are Employability Skills? Alabama Cooperative Extension System, 1(3), 3.
26. Department of Education, S. a. (2002). An Ethic of Care: Effective Programmes for Beginning Teachers. Canberra, Australia: Commonwealth Department of Education, Science and Training.
27. James, R. F., & James, M. L. (2004). Teaching career and technical skills in a “mini” business world. Business Education Forum, 59(2), 39-41.
28. Perreault, H. (2004). Business educators can take a leadership role in character education. Business Education Forum, 59, 23-24.
29. Knight, P., & Yorke, M. (2006). Embedding employability into the curriculum. Learn Employability, 3, 1-28.
30. [Bunt, K., McAndrew, F., & Kuechel, A. (2005). Jobcentre Plus Employer (Market View) Survey 2004. Department for Work and Pensions.
31. Wickramasinghe , V., & Perera, L. (2010). Graduates’, university lecturers’, and employers’ perceptions towards employability skills. Article in Education and Training, 52(3), 1-33. doi:10.1108/00400911011037355
32. Song , J., Jackie , P., Kayce , M., & Dalun, Z. (2014). Employability skills for entry-level employees with and without disabilities: A comparison between the perspectives of educators and employers. Journal of Vocational Rehabilitation, 40, 203-212. doi:10.3233/JVR-140685
33. Md Saad, M., & Majid , I. A. (2014). Employers’ perceptions of important employability skills required from Malaysian engineering and information and communication technology (ICT) graduates. Global Journal of Engineering Education, 16, 110-115.
34. Messum, D., Wilkes, L., & Jackson, D. (2015). What employability skills are required of new health managers? Asia Pacific Journal of Health Management, 10(1), 28-35.
35. Vashi, H. G. (2021). A Study on Enhancing Employability Skills of Engineering Graduates of South Gujarat. Ph.D Thesis, Gujarat Technological University, Management.
36. Fujimura, H. (2004). Managing the Development of One's Own Vocational Skills in Japanese Companies, Changing Employment System and Its Implications for Human Resource Development. Labour Review Japan, 1(3), 23-44.
37. Knight, P. T., & Yorke, M. (2003). Employability and Good Learning in Higher Education. Taylor & Francis Teaching in Higher Education, 8(1).
38. Thomasson, S., Cleary, M., & Flymn, R. (2006). Employability Skills: From Framework to Practice, An Introductory Guide for Trainers and Assessors. Precision Consultancy.
39. Yorke, M. (2006). Employability in higher education: what it is- what it is not (Vol. Series 1). The Higher Education Academy. Retrieved from https:// www.researchgate.net/ publication/225083582
40. Jackson, D. (2012). Testing a model of undergraduate competence in employability skills and its implications for stakeholders. Journal of Education and Work, 27(2), 220-242. doi:10.1080/13639080.2012.718750
41. Wilkes L., M. D., & Jackson, D. (2015). What employability skills are required of new health managers? Asia Pacific Journal Of Health Management, 10(1), 28-35.
42. STEMNET(Science, T. E. (2015). Top 10 Employability Skills.
43. Gokuladas, V. K. (2010). Technical and non-technical education and the employability of engineering graduates: an Indian case study. International Journal of Training and Development, 14(2), 130-143.
44. Blom , A., & Saeki , H. (2010). Employability and Skill Set of Newly Graduated Engineers in India. Policy Research working Paper5640[SSRN], pp. 1-55. Retrieved from https://ssrn.com/abstract=1822959
45. Shannon, S. J. (2012). "I Wish for More Than I Ever Get”: Employers’ Perspectives on Employability Attributes of Architecture Graduates. Creative Education Scientific Research, 3(Special Issue), 1016-1023. Retrieved from http://dx.doi.org/10.4236/ce.2012.326153
46. Padmini, I. (2012). Education Vs Employability- the Need to Bridge the Skills Gap among the Engineering and Management Graduates in Andhra Pradesh. International Journal of Management & Business Studies, 2(3), 90-94.
47. Salleh, R., Md Yusoff, M., Amat, S. C., Noor, A. M., & Suredah, N. (2013). Profiling Industry-Relevant Competencies of Graduate Architects through Online Job Advertisements. International Business Research, 6(11). doi:10.5539/ibr.v6n11p43
48. Vijayakumar, M., & Ramalingam, D. (2013). Recruiters’ Perception of Fresh Graduates in Engineering Colleges. Indian Journal of Applied Research, 3(3), 259-260.
49. Suarta, I., Suwintana, I., Sudhana, I. P., & Hariyanti, N. D. (2018). Employability Skills for Sustainable Development and Supporting Industrial Revolution 4.0: A Study for Polytechnic Curriculum Development. Advances in Social Science, Education, and Humanities Research, 298.
50. N. Hari Prasad, J. P. (2015). Employability skill and its role in economic development study from an Indian perspective. International Journal of Educational Science and Research (IJESR), 5(3), 29-36. Retrieved from www.tjprc.org
51. Suhaili, P., Ahmad, E., & Ainah, M. A. (2015). Soft Skills Construct For Architecture Graduate In Accordance With Industry Requirements. International Journal of Humanities, Arts and Social Sciences, 1(3), 119-123.
52. Ahmed, F., Campbell, P., Beg, A., & Capretz, L. F. (2015). What Soft Skills Software Requirements an Architect Should Have? A Reflection from Software Industry. International Conference on Computer Communication and Management Proc. of CSIT, 5, 565-569. Retrieved from https://www.researchgate.net/ publication/266573329
53. Maina, J. J. & Salihu, M. M. (2016) An Assessment of Generic Skills and Competencies of Architecture Graduates in Nigeria. ATBU Journal of Environmental Technology, 9(1), 30-41.
54. Oluwatayo, A., Opoko, A. & Ezema, I. (2016) How do Students Perceive their Employability Readiness: The Case of Architecture Students. 3rd International Conference on African Development Issues (CU-ICADI 2016.
55. Maina, J. J., & Daful, C. K. (2017). Do They Measure Up? Architecture Graduates’ Perception Of Acquired Skills Expectations And What Is Obtained. Journal of Research in National Development, 15(1), 153-161. Retrieved from https://www.ajol.info/index.php/jorind/index
56. Misra, R. K., & Khurana, K. (2017). Employability Skills among Information Technology Professionals: A Literature Review. Information Technology and Quantitative Management, 122, 63-70. Retrieved from www.sciencedirect.com
57. G., G., & M. , A. K. (2017). Perceptions on Employability Skills Necessary to Enhance Arts and Science Students in Namakkal District. International Journal of Pure and Applied Mathematics, 116(22), 9-18.
58. Reddy, Y. M., & Kennedy, D. S. (2017). Employer’s Perception on the Employability Competencies of Management Graduates. International Journal of Latest Technology in Engineering, Management & Applied Science (IJLTEMAS), 6(7), 42-45.
59. Rahmat, N., Buntat, Y., & Ayub, A. R. (2018). Employability Skills Based on Polytechnic Graduate Job Role: Immediate Supervisor Perception. Asian Social Science, 14(11), 30-40.
60. Nirmala , K., & Kumar, S. S. (2018). The Impact of Basic, Higher-Order Thinking and Affective Skills on Graduate Employability. The IUP Journal of Soft Skills, 12(1), 7-24.
61. Mari , T. S., Srirangam, S., Gunasagaran, S., Kuppusamy, S., & Ang, F. L. (2019). Architecture graduate work readiness: The gap between. 3rd International Conference on Architecture and Civil Engineering (ICACE 2019) (p. 636). IOP Conference Series: Materials Science and Engineering. doi:10.1088/1757-899X/636/1/01/2010
62. Nsor, S. D., Tetteh, A., Dzisi, S., & Appiah, S. A. (2019). Determining the Employability Skills in Polytechnic Curriculum in Ghana. Journal of Computer Sciences and Applications, 7(1), 16-20. doi:10.12691/jsca-7-1-3
63. Suarta, I. M., Suwintana, I. K., Sudhana, I. P., & Hariyanti, N. D. (2020). Employability Skills for Sustainable Development and Supporting Industrial Revolution 4.0: A Study For Polytechnic Curriculum Development. Advances in Social Science, Education, and Humanities Research, 298(Proceedings of the First International Conference on Applied Science and Technology (iCAST 2018)), 36-39.
64. Aggarwal, P. (2021). Employability Skills: A Set of tools to bridge the gap between academia and the industry in the Indian perspective. INTERNATIONAL JOURNAL OF RESEARCH CULTURE SOCIETY, 5(10), 19-25.
65. Sunila, D., & Thirunagari, D. C. (2021). Assessment of the Awareness of Employability Skills of the Undergraduates. International Journal of Innovative Research in Technology, 7(9), 222-227.
66. Bala, R. (2021). Perception towards Employability Skills: Comparative Analysis of Students and Faculty Viewpoint. 4th International Conference on Innovative Computing and Communication (ICICC 2021), 1-5. doi:10.2139/ssm.3832708
67. Mari, T. S., Ng, V., Gunasagaran , S., & Kuppusamy , S. (2022). Are they ready yet: Architecture Graduates Employability Skills from Employers' Perspective. Journal of Design and Built Environment, 22(1), 88-96.
68. Suarta, I., Suwintana, I., Sudhana, I. P., & Hariyanti, N. D. (2018). Employability Skills for Sustainable Development and Supporting Industrial Revolution 4.0: A Study for Polytechnic Curriculum Development. Advances in Social Science, Education, and Humanities Research, 298.
69. Overtoom, C. (2000). Employability Skills: An Update.ERIC Digest No. 220. (c. a. Eric Clearinghouse on adults, Ed.) ERIC Digest No. 220, 1-8.
70. (CBC), T. C. (2000). Employability Skills 2000+. The Conference Board of Canada(CBC).
71. The Australian Chambers of Commerce and Industry(ACCI), T. B. (2002). BCA/ACCI, Employability skills for the future. Department of Education, Science and Training, Canberra.
72. Abdullah, A. A., Anuar, M., & Ismail, M. (2019). Snapshot on the Career and Employability of Islamic Studies Graduates in Malaysia. International Journal of Academic Research in Business & Social Sciences, 9(11), 864-879.
73. Kent, U. O. (2011, Retrieved 2016). Introduction to Employability Skills. Retrieved from www.kent.ac.uk/careers/sk/skills intro.htm.
74. Xiaobing, Z., & Xin, Z. (2013). University Students’ Employability Skills Model Based on Chinese Employer Perspective. Journal of Human Resource and Sustainability Studies, 1, 29-33.
75. Ito, H. (2014). Challenges towards employability: Higher Education's engagement to Industrial needs in Japan. Higher Education Studies, 4(2), 1-8. doi:10.5539/hes.v4n2p1
76. Cotton, K. (2000). Developing Employability Skills Close-Up #15. School Improvement Research Series.

Anuja Gopal*, Bhupinderpal Singh Dhot, Jatinder Kaur, "Preparing Architecture Students for the Workforce: A Review of Essential Skills" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.13 issue 2, February 2024, pp.108-120 URL: https://doi.org/10.51583/IJLTEMAS.2024.130215

• Egbujor Emeka Godwin
  Enugu State Electricity Distribution Company
• Prof C. A. C Mgbachi
  Enugu State Electricity Distribution Company

References

1. Akyol, E., & Letaief, K. B. (2011). Spectrum sharing for cognitive radio networks: Theory and practice. CRC Press.
2. Sharma, S., Arif, H., Younis, M., & Kim, D. H. (2022). A comprehensive survey of security threats and potential solutions in 5G and beyond networks. IEEE Communications Surveys & Tutorials, 24(3), 1906-1939.
3. Zheng, Y., Wu, W., Zhou, S., & Li, B. (2020). Deep learning based spectrum sensing for cognitive radio networks. IEEE Transactions on Wireless Communications, 19(3), 1785-1798.
4. 3053192887.
5. Liu, R., Wang, F., Li, F., Li, Y., & Wang, F. (2023). Long-term interference prediction and spectrum allocation in cognitive radio networks. IEEE Transactions on Wireless Communications, 22(2), 956-969.
6. Chen, X., Yin, W., Li, J., Liu, X., & Wang, R. (2021). SDR-based real-time spectrum sensing and cooperative spectrum access in cognitive radio networks. International Journal of Communication Systems, 34(13), e5967.
7. Wu, S., He, F., Yu, Y., & Jin, G. (2019). Nfv-based dynamic interference mitigation in cognitive radio networks. Transactions on Emerging Telecommunications Technologies, 30(8), e3917.
8. Li, Z., Wang, J., Yang, L., & Wang, S. (2017). Enhanced spectrum sensing with partial coverage cooperative cognitive radio networks. International Journal of Communication Systems, 30(10), e3505.
9. Luo, L., Yang, X., Zhou, W., Wang, F., & Zhu, X. (2020). Deep learning based joint spectrum sensing and resource allocation for cognitive radio networks. IEEE Transactions on Communications, 68(8), 4979-4991.
10. Huang, W., Zhang, W., & Hu, B. (2022). Context-aware spectrum access mechanism for cognitive radio networks with mobile users. Transactions on Emerging Telecommunications Technologies, 33(12), e4574
11. Liu, R., Wang, F., Li, F., Li, Y., & Wang, F. (2023). Long-term interference prediction and spectrum allocation in cognitive radio networks. IEEE Transactions on Wireless Communications, 22(2), 956-969.
12. Chen, X., Yin, W., Li, J., Liu, X., & Wang, R. (2021). SDR-based real-time spectrum sensing and cooperative spectrum access in cognitive radio networks. International Journal of Communication Systems, 34(13), e5967.
13. Wu, S., He, F., Yu, Y., & Jin, G. (2019). Nfv-based dynamic interference mitigation in cognitive radio networks. Transactions on Emerging Telecommunications Technologies, 30(8), e3917.
14. Li, Z., Wang, J., Yang, L., & Wang, S. (2017). Enhanced spectrum sensing with partial coverage cooperative cognitive radio networks. International Journal of Communication Systems, 30(10), e3505.
15. Luo, L., Yang, X., Zhou, W., Wang, F., & Zhu, X. (2020). Deep learning based joint spectrum sensing and resource allocation for cognitive radio networks. IEEE Transactions on Communications, 68(8), 4979-4991.
16. Huang, W., Zhang, W., & Hu, B. (2022). Context-aware spectrum access mechanism for cognitive radio networks with mobile users. Transactions on Emerging Telecommunications Technologies, 33(12), e4574.
17. Yang, Y., Xu, H., & He, Z. (2017). Spectrum sensing based on energy detection and cyclostationary feature detection in cognitive radio networks. International Journal of Electronics and Communications, 81(6), 406-415.
18. Chen, W., Zhao, W., & Wang, L. (2018). Cyclostationary feature detection based hybrid spectrum sensing for cognitive radio networks. International Journal of Communication Systems, 31(8), 1457-1468.
19. Zhao, Y., Yang, W., & Wei, X. (2020). Channel hopping based spectrum reuse protocol with limited observation time in cognitive radio networks. Wireless Communications and Mobile Computing, 2020.
20. Akyol, E., & Letaief, K. B. (2011). Spectrum sharing for cognitive radio networks: Theory and practice. CRC press.
21. Amini, M. H., Anvari, O., &Salehi, B. (2019). Energy efficient power control for cognitive radio networks with imperfect channel state information. International Journal of Communication Systems, 32(14), 1489-1500.
22. Ahmed, M. S., El Sayed, A. F., & Alshamrani, O. F. (2017). Adaptive array beamforming for interference mitigation in cognitive radio networks. In 2017 IEEE International Conference on Signal Processing and Communications (ICSPC) (pp. 757-761).

Anuja Gopal*, Bhupinderpal Singh Dhot, Jatinder Kaur, "A Rule-Based Approach with Fuzzy Logic for Adaptive Network Optimization" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.13 issue 2, February 2024, pp.121-129 URL: https://doi.org/10.51583/IJLTEMAS.2024.130216

• Aminah
  Masters Management Program, Faculty of Economics and Business, Syiah Kuala University, Indonesia
• Muhammad Adam
  Masters Management Program, Faculty of Economics and Business, Syiah Kuala University, Indonesia
• Syafruddin Chan
  Masters Management Program, Faculty of Economics and Business, Syiah Kuala University, Indonesia

References

1. Akbar, A., Flacke, J., Martinez, J., & van Maarseveen, M. F. (2020). Spatial Knowledge: A Potential to Enhance Public Participation? Sustainability, 12(12), 5025.
2. Alawadhi, A., Chandrasekera, T., & Yang, C. (2011). The effect of spatial knowledge on sense of belonging in university/academic environments. Considering Research: Reflecting Upon Current Themes in Architectural Research, 337.
3. Alemu, G.T., Tsunekawa, A., Haregeweyn, N., Nigussie, Z., Tsubo, M., Elias, A., ... & Zemedu, L. (2021). Smallholder farmers' willingness to pay for sustainable land management practices in the Upper Blue Nile basin, Ethiopia. Environment, Development and Sustainability, 23, 5640-5665.
4. Bonaiuto, M., Carrus, G., Martorella, H., & Bonnes, M. (2002). Local identity processes and environmental attitudes in land use changes: The case of natural protected areas. Journal of economic psychology, 23(5), 631-653.
5. Booth, D.B., Karr, J.R., Schauman, S., Konrad, C.P., Morley, S.A., Larson, M.G., & Burges, S.J. (2004). Reviving urban streams: Land use, hydrology, biology, and human behavior 1. JAWRA Journal of the American Water Resources Association, 40(5), 1351-1364.
6. Bronstert, A., Niehoff, D., & Bürger, G. (2002). Effects of climate and land‐use change on storm runoff generation: present knowledge and modeling capabilities. Hydrological processes, 16(2), 509-529.
7. Broudy, H. S. (2017). Types of knowledge and purposes of education. In Schooling and the acquisition of knowledge (pp. 1-17). Routledge.
8. Budhiawan, A., Susanti, A., & Hazizah, S. (2022). Analysis of the Impact of Environmental Pollution on Social and Economic Factors in Coastal Areas in Bagan Kuala Village, Tanjung Beringin District, Serdang Bedagai Regency. Tambusai Education Journal, 6(1), 240-249.
9. Carrigan, M., & Attalla, A. (2001). The myth of the ethical consumer–does it matter in purchasing behavior? Journal of consumer marketing, 18(7), 560-578.
10. Chou, T.Y., Lei, T.C., Wan, S., & Yang, L.S. (2005). Spatial knowledge databases as applied to the detection of changes in urban land use. International Journal of Remote Sensing, 26(14), 3047-3068.
11. Dharmawan, AH, & Achsani, NA (2016). Involvement of The Actors in Conversion Control of Agricultural Land (Case Study in Tabanan District, Bali Province). Sodality: Journal of Rural Sociology, 4(1).
12. Fagerholm, N., Käyhkö, N., & Van Eetvelde, V. (2013). Landscape characterization integrates expert and local spatial knowledge of land and forest resources. Environmental management, 52, 660-682.
13. Hayes, T., Murtinho, F., & Wolff, H. (2017). The impact of payments for environmental services on communal lands: an analysis of the factors driving household land-use behavior in Ecuador. World Development, 93, 427-446.
14. Humaira, A., & Hudrasyah, H. (2016). Factors influencing the intention to purchase and actual purchase behavior of organic food. Journal of Business and Management, 5(4), 581-596.
15. Makanyeza, C., Svotwa, T.D., & Jaiyeoba, O. (2021). The effect of consumer rights awareness on attitude and purchase intention in the hotel industry: Moderating role of demographic characteristics. Cogent Business & Management, 8(1), 1898301.
16. Peña-García, N., Gil-Saura, I., Rodríguez-Orejuela, A., & Siqueira-Junior, J.R. (2020). Purchase intention and purchase behavior online: A cross-cultural approach. Heliyon, 6(6).
17. Swanwick, C. (2009). Society's attitudes to and preferences for land and landscape. Land use policy, 26, S62-S75.
18. Theis, N., & Driscoll, A. (2023). Rural Consciousness and Framing Environmental (In) Justice. Environmental Justice, 16(2), 118-125.
19. Tran, H., Nguyen, Q., & Kervyn, M. (2018). Factors influencing people's knowledge, attitude, and practice in land use dynamics: A case study in Ca Mau province in the Mekong delta, Vietnam. Land use policy, 72, 227-238.
20. Utami, D.N. (2019). Study of the impact of climate change on land degradation. Natural Journal: Journal of Disaster Risk Reduction Technology, 3(2), 122-131.
21. Valizadeh, N., Esfandiyari Bayat, S., Bijani, M., Hayati, D., Viira, A.-H., Tanaskovik, V., Kurban, A., & Azadi, H. (2021). Understanding Farmers' Intention towards the Management and Conservation of Wetlands. Land, 10(8), 860
22. Wang, C., Wang, L., Jiang, F., & Lu, Z. (2015). Differentiation of rural households' consciousness in land use activities: A case from Bailin Village, Shapingba District of Chongqing Municipality, China. Chinese geographical science, 25, 124-136.
23. Wang, Y., & Hazen, B. T. (2016). Consumer product knowledge and intention to purchase remanufactured products. International Journal of Production Economics, 181, 460-469.
24. Yoon, E., Guffey, H. J., & Kijewski, V. (2003). The effects of information and company reputation on intentions to buy a business service. Journal of Business research, 27(3), 215-228.
25. Zhang, W., Kato, E., Bhandary, P., Nkonya, E., Ibrahim, HI, Agbonlahor, M., ... & Cox, C. (2016). Awareness and perceptions of ecosystem services in relation to land use types: Evidence from rural communities in Nigeria. Ecosystem Services, 22, 150-160.
26. Sekaran & Bougie, (2016). Research Methods for Business : A Skill Building. Approach Seventh Edition. United States of America

Anuja Gopal*, Bhupinderpal Singh Dhot, Jatinder Kaur, "Examining the Mediating Effects of Attitude and Intention on the Influence of Spatial Knowledge and Regulation Consciousness on Proper Land Use Behavior" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.13 issue 2, February 2024, pp.130-142 URL: https://doi.org/10.51583/IJLTEMAS.2024.130217

• A. Alamsyah
  Faculty of Food Technology and Agroindustry, University of Mataram, Indonesia
• D.M.G. Pertiwi
  Faculty of Food Technology and Agroindustry, University of Mataram, Indonesia
• M.A. Zaini
  Faculty of Food Technology and Agroindustry, University of Mataram, Indonesia
• E. Basuki
  Faculty of Food Technology and Agroindustry, University of Mataram, Indonesia

References

1. Agustina, W., 2010. Vitamin C Content and Organoleptic Test of Watermelon Rind Fruit Gurt with the Addition of Palm Sugar and Secang Wood. Publication manuscript. Muhammadiyah Surakarta University. Surakarta.
2. Al-Sayed H. M. A., and Ahmed, A. R., 2013. Utilization Of Watermelon Rinds And Sharlyn Melon Peels Asa Natural Source Of Dietary Fiber And Antioxidants In Cake. Annals of Agricultural Science. 58(1):83–95.
3. Andayani. 2012. Study of the Phenolic Content and Antioxidant Activity of Moringa Fruit Peel (Moringa oleifera, L.) Thesis. Tadulako University.
4. Andayani, R., Maimunah and Lisawati. 2012. Determination of Antioxidant Activity. Total Phenolic and Lycopene Levels in Tomato Fruit (Solanum lycopersicum L.). Thesis. Andalas University. Padang.
5. Campbell, M. 2006. Extraction of Pectin From Watermelon Rind. Oklahoma State University. Oklahoma.
6. Darmajana, D.A., 2011. The Effect of Starter Concentration and Carrageenan Concentration on the Quality of Green Bean Vegetable Yogurt. Proceedings of Snazoll Science, Technology and Health.
7. Dibyanti, P., 2014. The Effect of Adding Various Culture Concentrations and Incubation Times on pH, Acidity Levels, Viscosity and Syneresis of Yogurt Sets. Article. Faculty of Animal Husbandry. Brawijaya University.
8. Effendi, M.S., 2012. Food Processing and Preservation Technology. Alphabet. Bandung
9. Febrihantana, W., 2014. The effect of adding carrot juice as a fortification for yoghurt products in terms of pH value, total titrated acid, total LAB, viscosity and total carotene. Article. Faculty of Animal Husbandry, Brawijaya University.
10. Harwanti, S. Zubaidi, T. and Antarlina, S. 2014. Organoleptic Testing of Ice Cream at Various Concentrations of Durian (Durio zibetinus) Fruit Flesh. Saintek Articles. UIN Maliki. Poor.
11. Ismayanti, Bahri, S., Nurhaeni, 2013. Study of Phenolic Content and Antioxidant Activity of Watermelon (Citrullus Lanatus) Rind Juice. Online Journal of Natural Science. 2(3): 100-110.
12. Jannah, M., 2013. Differences in the Physical and Chemical Properties of Yogurt Made from Full Fat and Low Fat Soybean Flour with the Addition of Sago Starch at Various Concentrations. Thesis, Faculty of Health Sciences, Muhammadiyah University of Surakarta.
13. Koswara, S., 2009. Yogurt Making Technology. http://eBookPangan.com (Accessed 12 December 2016)
14. Kusnandar, F., 2010. Food Chemistry of Macro Components. Dian Rakyat. Jakarta.
15. Maulida, D. and Zulkarnaen, N., 2010. Extraction of Antioxidants (Lycopene) from Tomatoes Using Mixed Solvents, N-Hexane, Acetone, and Ethanol. Diponegoro University. Semarang.
16. Muse, M. R., and Hartel, R. W. 2004. Ice Cream Structural Elements that Affect Melting Rate and Hardness. Journal of Dairy Science. 87 (1):1-10.
17. Novitasari, B.A., 2013. Vitamin C and Organoleptic Tests of Jelly Candy Using Watermelon Peel with the Addition of Young Coconut Water and Stevia Leaves as Sweeteners. Publication manuscript. Muhammadiyah Surakarta University. Surakarta.
18. Parnsworth, J. Li, G. M. Hendricks, and M. R. Guo, 2006. “Effects of transglutaminase treatment on functional properties and probiotic culture survivability of goat milk yogurt,” Small Ruminant Research, vol. 65,(1-2): 113–121.
19. Rizk, E. M., El-Kady, A. T. and El-Bialy, A.R. 2014. Charactrization Of Carotenoids (Lyco-Red) Extracted From Tomato Peels And Its Uses As Natural Colorants And Antioxidants Of Ice Cream. Annals of Agricultural Science. 59(1): 53-61.
20. Saleh, E., 2004. Milk Processing Technology and Livestock By-Products. http://library.usu.ac.id/download/fp/ternak-eniza.pdf (Accessed 20 September 2016).
21. Sayuti, K. and Yenrina, R., 2015. Natural and Synthetic Antioxidants. Andalas University Press. (AU press). Padang.
22. Setianto, Y., Pramono, Y., and Mulyani, S, 2014. Ph Value, Viscosity and Texture of Yoghurt Drink with the Addition of Salah Pondoh (Salacca zalacca) Extract. Journal of Food Technology Applications 3(3) 34-40.
23. Setyaningsih, Dwi. 2010. Sensory Analysis for the Food and Agro Industry. IPB Press. Bogor.
24. Soewarno, T. S, 1981. Organoleptic Assessment. Technology Development Center Food (Pusbangtepa). IPB.
25. Indonesian National Standard (SNI). 2009. SNI 2981:2009. Yogurt. National Standardization Agency. Jakarta.
26. Sudarmadji, S., Haryono, B., and Suhardi, 1984. Analysis Procedures for Food and Agriculture. Liberty Publishers. Yogyakarta.
27. Suhartono, E., Fujiati, Aflaine, I. 2002. Oxygen Toxicity by Radiaton and Effect of Glutamic Pyruvate Transamine (GPT) Activity in Rat Plasma After Vitamin C Treatment. Seminar on Environmental Chemistry and Toxicology. Yogyakarta.
28. Suprihatin, 2010. Fermentation Technology. UNESA Press. Surabaya.
29. Tamime, A.Y., and Robinson, R.K., 2007. Yoghurt Science and Technology. Third Edition. Woodhead Publishing: Cambridge.
30. Tyas, H. D., Nashrianto, H., and Taufiq, A. 2014. Isolation of Lycopene and Antioxidant Activity Test in the White Skin and Flesh of Watermelon (Citrullus lanatus). Pakuan University Bogor. Bogor.
31. Widodo, W. 2002. Milk Fermentation Biotechnology. Center for Biotechnology Development, University of Muhammadiyah Malang.
32. Winarno, F.G., 2004. Food Chemistry and Nutrition. Gramedia Pustaka Utama. Jakarta.
33. Zahro, C., and Nisa, F. C. 2015. The Effect of Adding Grape Juice (Vitis vinifera L.) and Stabilizers on the Physical, Chemical and Organoleptic Characteristics of Ice Cream. Journal of Food and Agroindustry. 3 (4): 1481-1491.-

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