Applied Sciences Research Periodicals https://hspublishing.org/ASRP <p><strong><em>Applied Sciences Research Periodicals (ASRP)</em></strong> is an open access and peer-reviewed international journal. It focuses on using scientific knowledge and principles to solve practical problems in real-world settings.</p> <p>ASRP covers multidisciplinary fields that encompasse a broad range of subjects, including engineering, technology, medicine, and agriculture, among others. The goal is to create innovative solutions to practical problems, improve existing technologies, and optimize processes to increase efficiency and productivity. Researcher in this field is aimed at working in collaboration with industry, government, and other stakeholders to translate scientific knowledge into practical applications that benefit society.</p> Headstart Publishing - United Kingdom en-US Applied Sciences Research Periodicals 3033-330X Comparative Designs-Models Fabricated for Non-conventional Energy Supply to A-four-storey Building using Gauss-Seidel Algorithm https://hspublishing.org/ASRP/article/view/1271 <p>The problems are that: (i) frequent power outage by inadequate infrastructure and outdated technologies led to poor supply, (ii) limited access to reliable electricity and high cost of installation of off-grid energy and fossil fuel&nbsp; caused financial burden on households in the region, (iii) lack of a reliable energy, low renewable sources and reliability misconceptions affected the usage of renewable&nbsp; energy in the region, (iv) overall reliance on fossil fuel such as: diesel and petrol despite its high cost had contributed to global warming, and lack of strong implementation strategies and research affected renewable energy applications in the region. The study is aimed at comparing models for non-conventional energy supply to a four storey Building using Gauss-Seidel Algorithm in Abo-Mbaise, Imo State, southeast region, Nigeria. The objectives of the study are to: (i) evaluate the current energy infrastructure and consumption pattern in a-six- person-household per flat in the region, (ii) identify the renewable energy resources available in the region, (iii) assess the technical, economic and&nbsp; viability of implementing different renewable energy systems in a-four-storey-Building and the environmental impact of utilization in the region, and (v) apply optimization algorithm on different renewable energy sources on design configurations and fabrication. The reliability of the research experiment was determined using Pearson product moment correlation (r). The experimental result of (r), was found to be approximately (r = 1.0) which confirmed 100% (percent) level of performance between the model and prototype (fabricated Flywheel). The result also shows that there exist a strong correlation between the designed (model) and the fabricated (prototype). The work concluded that: (i) the cost of energy per kwh from Enugu Electricity Distribution Company (EEDC) is ₦53.78, Solar/Battery option is ₦65.62, Flywheel option is ₦34.27, Biomass option is ₦49.97 and Wind option is ₦74.01.Therefore, cost of energy for a-4-hour supply per flat of 6-person-household per month from EEDC is ₦18,070, while (ii) the optimization (GA) results show that for every-24-hour: (i) Wind option has a minimum cost of N14.66million in 30years, N488,666:67K in one year, N40,722:22K in one month per Building of 8flats, and per flat of 6persons has to pay N5090:00K ($3.4 US Dollars) per month, (ii) Biomass option has a minimum cost of N20.62million in 30years, N687,333:33K in one year, N57,277:78K in one month per Building of 8flats, and per flat of 6persons has to pay N7,160:00K ($4.8 US Dollars) per month, (iii) Flywheel option has a minimum cost of N6.9million in 30years, N230,000:00K in one year, N19,166:67K in one month per Building of 8flats, and&nbsp; per flat of 6persons has to pay N2,396:00K ($1.6 US Dollars) per month&nbsp; and (iv) Solar/Battery has a minimum cost of N28.16million in 30years, N938,666:67K in one year, N78,222:22K in one month per Building of 8flats, and per flat of 6persons has to pay N9,778:00K ($6.5 US Dollars) per month. It further concluded that there is zero emission of Co<sub>2</sub> and other green house gasses using the Flywheel energy generating system and also it is the most efficient option. The work recommended that: for federal government of Nigeria to realize her vision/policy on climate change and SDG 2030: the Federal Housing Authority should promulgate a law for the provision of power supply in any building meant for rent age to reduce over-reliance on national grid, and the said regulatory council should implement the collection of appropriate tariffs using off-grid power supply in collaboration with other organizations in the renewable energy field.</p> Eme Luke Njoku Julian Moluno Anthony Tachere Zion Nwabugwu Ikenna Mahmud Hussaini Copyright (c) 2026 Eme Luke, Njoku Julian, Moluno Anthony, Tachere Zion, Nwabugwu Ikenna, Mahmud Hussaini http://creativecommons.org/licenses/by/4.0 2026-03-09 2026-03-09 4 02 07 21 10.63002/asrp.402.1271 Student-Staff Partnerships and the Use of Artificial Intelligence https://hspublishing.org/ASRP/article/view/1383 <p>This article discusses the benefits of student-staff collaboration and its stimulation for the academic environment. Students can learn better and pedagogues can improve on their teaching styles with the partnership. It broaches upon the value of metacognition and growth mind set, and addresses both institutional and student activities to promote the beneficial applications of artificial intelligence (AI).</p> Marion G. Ben-Jacob Copyright (c) 2026 Marion G. Ben-Jacob http://creativecommons.org/licenses/by/4.0 2026-03-05 2026-03-05 4 02 01 03 10.63002/asrp.402.1383 Direction-dependent Conductivity Effective Masses of Carriers at Velocity Saturation in Semiconductors https://hspublishing.org/ASRP/article/view/1385 <p>This short communication further clarifies the physics-related concepts on semiconductors.&nbsp; It then consolidates the finding of the intrinsic Fermi energy level E<sub>i</sub> in semiconductors, given the conductivity effective mass for electrons at velocity saturation, or determines the conductivity effective mass for electrons at velocity saturation, given the intrinsic Fermi energy level in a semiconductor.&nbsp; Here Silicon is used as an example.&nbsp;</p> Ravi Kumar Chanana Copyright (c) 2026 Ravi Kumar Chanana http://creativecommons.org/licenses/by/4.0 2026-03-05 2026-03-05 4 02 04 06 10.63002/asrp.402.1385