Selim - 𝐍𝐞𝐱𝐮𝐬 𝐆𝐥𝐨𝐛𝐚𝐥 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡

Advancements in Teaching Computer-Aided Drug Design and Medicinal Chemistry: Strategies for Preparing Students Amidst Technological Evolution and Post-Pandemic Shifts.

January 14, 2026January 14, 2026 Selim

: Ajayi Titilope, Adewumi, Olanipekun Oladapo, Tunde, Esho Idowu, Johnson, Iyanda Dauda, Funminiyi.

📘 : Nexus Global Research Journal of Medical Sciences (NGRJMS) Volume-2, Issue-1 (Page : 20 – 24)

ABSTRACT:

The fields of medicinal chemistry and computer-aided drug design (CADD) have transformed due to technological progress, paradigm shifts in drug discovery, and the COVID-19 pandemic’s educational impact. This review synthesizes recent research to propose effective pedagogical strategies for higher education, exploring CADD’s historical evolution, post-pandemic student attitudes toward online learning, innovative open-source teaching platforms, and teacher perspectives on skill development. Challenges include bridging interdisciplinary gaps, overcoming online learning barriers, and preparing students for a dynamic industry. Recommendations advocate for hybrid models, hands-on tools, and ethical integration of emerging technologies like artificial intelligence (AI). Visual aids, including timelines, survey data, and tool comparisons, enhance understanding, equipping educators to foster future medicinal chemists ready to address global health challenges.

Keywords: Computer-aided drug design; Medicinal chemistry education; post-COVID learning; Open-source tools; Pedagogical strategies; Drug discovery paradigms.

Geotechnical Characterization and Foundation Design for a Multi-Story Factory in the Bengal Delta: Insights from Sub-Surface Investigation.

January 14, 2026January 14, 2026 Selim

: Md.Mohibullah.

🪪 : DOI: 10.5281/zenodo.18241261

📘 : Nexus Global Research Journal of Multidisciplinary (NGRJM) Volume-2, Issue-1 (Page : 01-18)

ABSTRACT:

This study provides a geotechnical study of a six-story factory building in the proposed Liberty Knitwear Ltd. in Kaliakair, Gazipur, Bangladesh. The characteristics of the subsoils were identified using four boreholes that were 60 ft deep and found a typical Bengal delta stratigraphy: a thin surface of reddish, plastic clays (0–22 ft, SPT N=4-24) covered densely with silty sands (SPT N=14-50). The level of groundwater was observed 14-17 ft in to ground. Engineering design was based on laboratory tests, including grain-size distribution (top fines to 88 per cent and bottom sands to 92 per cent), Atterberg limits, and direct shear tests (φ = 26-40 degrees, c = 0.11 -0.049 tsf). The calculated bearing capacities of shallow foundations reached 1.68tsf at 10 ft depth (factor of safety = 3). Furthermore, 24-inch-diameter piles with pile capacities of more than 120 tons at a depth of 60 ft support the feasibility of deep foundations in terms of heavier loads. The location of the site in Seismic Zone- 2 (z = 0.20, BNBC 2020) requires a dynamic analysis and supports the suggestions for shallow foundations. These results provide a strong basis for cost-effective and secure foundation construction in the problematic deltaic soils of Bangladesh.

Keywords: SPT, bearing capacity, grain size distribution, Terzaghi equation, seismic Zone-2, pile design.

Prevalence of Common Infectious Diseases Among Hospitalized Patients in Dera Ismail Khan, Khyber Pakhtunkhwa, Pakistan.

January 14, 2026January 14, 2026 Selim

: Abdus Sami, Saif Ullah Khan, Momna Elham.

🪪 : DOI: 10.5281/zenodo.18232684

📘 : Nexus Global Research Journal of Medical Sciences (NGRJMS) Volume-2, Issue-1 (Page : 05 – 10)

ABSTRACT:

Background: Worldwide, infectious agents cause a disproportionate share of illness and mortality. Using this data, researchers looked at the infectious illnesses and risk factors of Dera Ismail Khan hospital admissions. Method: Between January 2025 and November 2025, data from 840 individuals who visited four clinical laboratories in D. I. Khan were collected utilizing immune chromatographic technique. We acquired knowledge on the frequency and prevalence of each virus or illness. The research was conducted with the endorsement of the institutional ethics committee. The Top 5 list comprises the five most significant infectious agents and diseases. Result: Among the patients examined, 385 (45.83%) were infected with the Hepatitis B virus, 168 (20%) with Salmonella typhi (the causative agent of Typhoid fever), 128 (15.23%) with the Hepatitis C virus, 103 (12.26%) with Helicobacter pylori, and 56 (6.66%) with Plasmodium (the causative agent of malaria). A total of 840 individuals were tested for infectious diseases, with over half being male (443, or 52.73%). The remaining half comprised women (397, or 47.26%). The majority of cases involved individuals who were married (52.19%) and those aged between 21 and 30 years. Conclusion: This study facilitates the estimation of the prevalence of common illnesses, the evaluation of risk factors, and the management of these conditions in Pakistan.

Keywords: Infectious diseases, Disease prevalence, Hospitalized patients, Dera Ismail Khan, Khyber Pakhtunkhwa, Pakistan.

Management of Electrical Burn Injury of the Hand Using Collagen-Based Nanocrystalline Silver Cream: A Case Report.

January 14, 2026January 14, 2026 Selim

: Shubhra Mandal, Ravi Kumar Chittoria, Kanav Gupta.

🪪 : DOI: 10.5281/zenodo.18232751

📘 : Nexus Global Research Journal of Medical Sciences (NGRJMS) Volume-2, Issue-1 (Page : 01 – 04)

ABSTRACT:

Advances in the understanding of wound healing have encouraged the use of newer topical agents for managing both acute and chronic wounds. Silver-based preparations have traditionally formed an important component of burn care due to their antimicrobial properties. Nanocrystalline silver represents a refinement of conventional silver formulations by offering sustained antimicrobial activity along with modulation of the inflammatory response. Electrical burns affecting the hand present particular challenges because tissue injury is often unpredictable and infection risk is high. We report the conservative management of an elderly patient with an electrical burn injury to the hand using nanocrystalline silver cream, which resulte d in satisfactory wound healing without the need for surgical intervention.

Keywords: Electrical burn; Hand burn; Nanocrystalline silver; Burn wound management; Conservative treatment.

Development and Efficacy Evaluation of a Fortified Blended Local Fertilizer from Waste-Derived Resources for Maize Cultivation.

January 11, 2026January 11, 2026 Selim

: Arnold Valaro, Patson Nalivata.

🪪 : DOI: 10.5281/zenodo.18211113

📘 : Nexus Global Research Journal of Business And Management (NGRJBM) Volume-2, Issue-1 (Page : 52- 55)

ABSTRACT:

This study developed a novel fortified blended fertilizer using locally available waste materials: powdered sewage, wood ash, agricultural lime, and human urine. The formulation was optimized into basal and top-dressing blends by incorporating small quantities of commercial NPK and urea, respectively. The fertilizer was applied to maize under field conditions, and its effects were evaluated through soil testing and plant performance. Laboratory analysis revealed high nutrient concentrations (N: 308– 359 mg/kg, P: 432–503 mg/kg, K: 988–1150 mg/kg) and elevated fertility indices (3397–3953 mg/kg). Field trials demonstrated successful maize growth with no signs of nutrient deficiency or toxicity. The results indicate that this fortified blended fertilizer can serve as a sustainable, low-cost alternative to conventional inorganic fertilizers, contributing to circular agriculture and waste valorisation.

Keywords: Fortified blended fertilizer, waste valorisation, sewage ash fertilizer, organic-mineral blend, maize nutrition, soil fertility.

Sustainable AI Implementation in Higher Education: A Viewpoint on Organizational Learning for Environmental and Social Responsibility.

January 9, 2026January 9, 2026 Selim

: Viraj P. Tathavadekar.

🪪 : DOI: 10.5281/zenodo.18181504

📘 : Nexus Global Research Journal of Business And Management (NGRJBM) Volume-1, Issue-1 (Page : 42- 45)

ABSTRACT:
This viewpoint paper investigates the ways in which higher education institutions (HEIs) may forge organizational learning
capabilities to generate an AI implementation system that meets sustainability criteria while supporting the United Nations
Sustainable Development Goals (SDGs). This viewpoint synthesizes current trends in AI adoption, organizational learning
theory, and sustainability frameworks to put forth a conceptual model for responsible AI implementation in higher education
contexts. In traditional scenarios, AI implementation in HEIs gives precedence to technological advancement and tends to
overlook other aspects of environmental and social responsibility, thereby forming a critical gap in sustainable organizational
learning practice. This paper offers the first full-fledged viewpoint connecting AI implementation with organizational learning
for sustainability in higher education, thus laying some groundwork at the underrecognized interface of technology adoption
and environmental responsibility. This viewpoint is conceptual, requiring empirical validation in a variety of institutional and
cultural settings.Framework proposed herein can be used by HEIs as practical ways of integrating sustainability issues into the
AI adoption process contraposed to building institutional learning capabilities. A sustainable AI implementation can serve to
support various SDGs, fostering the ethical use of technology and environmental care in education.

Keywords: Artificial intelligence, Sustainability, Organizational learning, Higher education, Environmental responsibility,
SDGs

Effect of Motivation on Employee Productivity in Aliyan Global Security and Cleaning Services, Jalingo Taraba State, Nigeria.

January 9, 2026January 9, 2026 Selim

: Victor Jediel Balanko, Luna Madanga.

🪪 : DOI: 10.5281/zenodo.18199742

📘 : Nexus Global Research Journal of Business And Management (NGRJBM) Volume-2, Issue-1 (Page : 43- 51)

ABSTRACT:

This study investigated the effect of motivation on employee productivity in Aliyan Global Security and Cleaning Services, Jalingo, Taraba State, Nigeria. Employee productivity is critical for organizational efficiency and growth. The study employed a descriptive survey research design, targeting a population of 251 employees, from which 154 respondents were selected using Taro Yamane’s formula and simple random sampling. Primary data were collected through structured questionnaires with a four-point Likert scale measuring intrinsic factors (recognition, job satisfaction, personal growth) and extrinsic factors (salary, allowances, financial incentives). Data were analyzed using simple linear regression to assess the relationship between motivation and employee productivity. Findings revealed that both intrinsic and extrinsic motivation significantly influenced employee productivity. Extrinsic motivation, with a standardized Beta of 0.506, indicated that financial incentives are important drivers of performance, while intrinsic motivation exhibited a stronger effect (Beta = 0.710), highlighting the importance of recognition, job satisfaction, and personal development in sustaining productivity. The results support Herzberg’s Two-Factor Theory and Vroom’s Expectancy Theory, emphasizing the combined role of psychological and financial incentives in motivating employees. The study concludes that a balanced approach integrating both intrinsic and extrinsic motivational strategies is necessary to optimize productivity in service-oriented organizations. It recommends that management regularly implement structured reward systems and employee development programs to enhance engagement and performance. These findings provide practical insights for policymakers, managers, and human resource practitioners aiming to improve workforce productivity in Nigeria and similar contexts.

Keywords: Intrinsic Motivation, Extrinsic Motivation, Employee Productivity, Motivational Strategies, Security and Cleaning Services, Jalingo, Nigeria.

Impact of Entamoeba histolytica Infection on Liver Function: Analysis of AST, ALT, ALP, and Bilirubin Levels Among Patients at Al-Bayda Medical Center, Libya, 2025.

January 9, 2026January 9, 2026 Selim

: Nisreen Faraj Abdulai.

🪪 : DOI: 10.5281/zenodo.18186080

📘 : Nexus Global Research Journal of Medical Sciences (NGRJMS) Volume-1, Issue-1 (Page : 53 – 61)

ABSTRACT:

Entamoeba histolytica is a protozoan parasite causing amebiasis, which may involve the liver and lead to hepatocellular injury and biliary disturbances. This cross-sectional study evaluated the effect of E. histolytica infection on liver function among 50 patients attending Al-Bayda Medical Center, Libya, in 2025. Infection was determined using stool microscopy, with 30 patients testing positive and 20 negative. Serum liver function markers—alanine aminotransferase (ALT), aspartate aminotransferase (AST), alkaline phosphatase (ALP), total bilirubin (TB), and direct bilirubin (DB)—were analyzed using automated clinical chemistry systems. Normality was assessed with the Shapiro-Wilk test, and differences between groups were analyzed using the Wilcoxon rank-sum test, with effect sizes calculated to determine the magnitude of changes. Results showed significant elevations in ALT (47.2 ± 36.1 U/L vs. 12.4 ± 7.8 U/L; r = 0.804), AST (41.6 ± 16.2 U/L vs. 20.3 ± 10.2 U/L; r = 0.760), and ALP (144.0 ± 58.0 U/L vs. 88.2 ± 23.6 U/L; r = 0.550) in infected patients, indicating hepatocellular injury and possible cholestatic involvement. Total and direct bilirubin levels differed minimally, suggesting preserved bilirubin metabolism in most patients. These findings highlight the importance of monitoring liver function in patients with suspected or confirmed E. histolytica infection. Elevated hepatocellular enzymes may serve as early indicators of hepatic involvement, facilitating timely diagnosis and clinical management. This study provides insights into the biochemical impact of E. histolytica in a Libyan clinical setting and emphasizes the need for further research using imaging and molecular diagnostics for comprehensive hepatic assessment.

Keywords: Entamoeba histolytica; amebiasis; liver function tests; hepatocellular injury; Al-Bayda, Libya.

Strategic Workforce Planning Through Human-AI Collaborative Intelligence: A Dynamic Capabilities and Predictive Analytics Framework.

January 6, 2026January 6, 2026 Selim

: Viraj P. Tathavadekar.

🪪 : DOI: 10.5281/zenodo.18159068

📘 : Nexus Global Research Journal of Business And Management (NGRJBM) Volume-2, Issue-1 (Page : 25- 42)

ABSTRACT:

Contemporary organizations encounter substantial challenges in strategic workforce planning, with empirical evidence indicating that merely 15% of enterprises engage in comprehensive long-term talent forecasting beyond conventional headcount methodologies. This investigation develops an integrated theoretical and operational framework for optimizing human-AI collaboration within strategic workforce planning domains, specifically addressing critical deficiencies in organizational capabilities and predictive talent management systems. Through systematic examination of dynamic capabilities theory synthesized with human-computer interaction paradigms, this study advances an innovative collaborative intelligence architecture that harmonizes AI-driven predictive analytics with human strategic reasoning processes. The framework directly confronts the anticipated 85 million vacant positions projected by 2030 through enhanced organizational performance mechanisms and strategic talent optimization strategies. Principal findings establish that effective human-AI collaboration necessitates methodical integration of technological competencies with human cognitive advantages, transparent decision-making architectures, and adaptive organizational configurations. The proposed framework contributes substantially to theoretical comprehension and practical deployment of collaborative intelligence systems within workforce planning environments.

Keywords: Human-AI collaboration, strategic workforce planning, predictive analytics, organizational capabilities, talent forecasting.

A Study and implementation of Smart Intelligent Retail Cashier Less Systems: Tools, Approaches, and Difficulties.

January 6, 2026January 6, 2026 Selim

: Ranveer Narayn Singh, Sujeet Musale, Dr Amol Kasture.

🪪 : DOI: 10.5281/zenodo.18158914

📘 : Nexus Global Research Journal of Business And Management (NGRJBM) Volume-2, Issue-1 (Page : 18- 24)

ABSTRACT:

The rapid advancement of artificial intelligence (AI), computer vision, and Internet of Things (IoT) technologies has revolutionized the retail industry, paving the way for smart cashier-less systems. A Smart Retail Cashier-less System enables customers to shop without the need for traditional checkout counters or human cashiers. By integrating sensor networks, RFID tags, cameras, and deep learning algorithms, such systems can automatically detect products selected by customers, track their purchases in real-time, and process payments seamlessly through digital wallets or linked accounts. This not only enhances shopping convenience and speed but also reduces operational costs and human error. Moreover, data analytics derived from customer behaviour can help retailers optimize inventory management and personalized marketing. Despite its advantages, challenges such as data privacy, system reliability, and high implementation costs remain key considerations. The development of an efficient, secure, and scalable Smart Retail Cashier-less System represents a significant step toward the future of automated retail.

Keywords: Smart Retail, Cashier-less System, Artificial Intelligence (AI), Digital Payment, Smart Shopping.