Gombe State University (GSU) is located in Tudun Wada Shamaki ward Gombe State, Nigeria. It is a member of the Association of Commonwealth Universities. The state University has a Chancellor and 11 members of Governing council, principals and management staff. Professor Abdullah Mahadi was the first vice - Chancellor of the Gombe State University.
In knowledge-based economies, sustained economic growth and inclusive development depend critically on the quality of human capital as a vehicle for knowledge creation, diffusion, and application. While traditional neoclassical theories emphasize the quantity of schooling in human capital formation, more recent approaches, most notably Attanasio’s (2015) framework, stress the cumulative and multidimensional nature of skill and knowledge acquisition, particularly across varying learning environments. Against this backdrop, this study examines the process of quality human capital formation during large-scale disruptions, using the COVID-19 pandemic as a natural experiment. We combine micro-level survey data from the UNESCO/IEA Responses to Educational Disruption Survey (REDS 2021) with macro-level indicators from the World Bank Human Capital Index for 2022 to assess how academic performance during the pandemic influenced human capital quality across countries. Using a Tobit regression model to account for censoring between improved (effective) and unimproved (ineffective) human capital outcomes, we find that poor educational performance during the pandemic has a strong, statistically significant adverse effect on human capital quality. Learning environments, socioeconomic conditions, and institutional factors also play important roles. The findings provide empirical support for Attanasio’s human capital formation framework and demonstrate that learning disruptions constitute shocks to knowledge-creation systems, with potential long-term implications for productivity and innovation. We conclude that post-pandemic recovery strategies must prioritize education quality, effective digital learning, and targeted human capital policies to strengthen the resilience of knowledge-based economies and support sustainable development.
Adverse drug reactions (ADRs) are a significant concern in the treatment ofHIV infection. These reactions can range from mild to severe and may affectpatient adherence to antiretroviral therapy (ART), potentially compromising treatment effectiveness. The aim of this study was to assess the incidence and predictors of adverse drug reactions among adult persons living with HIVand receiving antiretroviral therapy from 2018 to 2023. A retrospective cohort study was carried out at the State Specialist Hospital Gombe (SSHG), Nigeria . Records of adult individuals living with HIV/AIDS were included in the study. Univariate and multivariate Cox regression proportional hazardwas applied to identify predictors of viral load suppression and ART-related ADRs. Kaplan-Meier and log-rank test survival curves were used to determine the time to achieve viral load suppression and first ADR due to ART. A p-value<0.05 was considered statistically significant at the 95
Applications of data science and artificial intelligence (AI) in global health are expanding, yet research remains fragmented and often misaligned with the needs of low-income and middle-income countries (LMICs). To address this misalignment, we conducted a global research priority-setting exercise using the Child Health and Nutrition Research Initiative (CHNRI) method. 155 research ideas were scored by 51 experts based on feasibility, potential impact on disease burden, paradigm shift potential, implementation potential, and equity. Top-ranked priorities focused on epidemic preparedness, including AI-based outbreak prediction, improved diagnostics for infectious diseases, and early-warning systems. Other highly ranked topics included AI-assisted resource allocation, telemedicine, culturally adapted mobile health services, and chronic disease management tools. Experts from LMICs prioritised infectious disease control and diagnostic equity, whereas experts from high-income countries emphasised infrastructure and climate-related analytics. The resulting agenda provides a roadmap for aligning AI and data science research with global health priorities, particularly in LMICs.
Hibiscus L. (Hibisceae, Malvoideae, Malvaceae) is globally distributed and valued for its ornamental, agricultural, and medicinal significance, yet its taxonomic problems remain unresolved. Here, we de novo assembled 17 complete chloroplast (cp.) genomes representing 16 Hibiscus species, as one species was represented by two varieties, and compared them with 13 previously published genomes of this genus. These genomes ranged from 159,125 to 163,360 base pairs and exhibited a conserved quadripartite structure, encoding 112 unique genes (78 protein-coding genes, 30 transfer RNAs, and 4 ribosomal RNAs). While codon usage, amino acid frequency, substitution patterns, and the expansion and contraction of inverted repeats revealed high similarity, the number of simple sequence repeats (SSRs) varied among species. Comparative analyses identified five non-coding polymorphic loci (trnH-psbA, ndhF-rpl32, rps19-rpl22, trnR-atpA, and ndhD-ccsA) and six coding loci (rpl22, ycf1, matK, rpl32, rbcL, and ndhF) as suitable candidates for DNA barcoding and phylogenetic reconstruction. Phylogenomic analyses based on the cp. genome confirmed the polyphyly of Hibiscus, with Urena Dill. ex L., Malvaviscus Fabr., Kosteletzkya C. Presl, and Kydia Roxb. nested within it. Three major clades were recovered (/Phylloglandula, /Trionum, and /Euhibiscus). Hibiscus volkensii Gürke showed a long branch, suggesting a distinct evolutionary trajectory. Thepparatia scandens (Roxb. ex G.Don) Phuph. appeared as a sister to Hibiscus verdcourtii Craven. Congruence was observed between the cp. genome phylogeny and recent sectional classifications, although Hibiscus sect. Bombicella was confirmed to be polyphyletic. Overall, this study provides insights into the cp. genome evolution of Hibiscus and its implications for the phylogeny of this genus. These findings highlight the need for nuclear genomic data to resolve remaining uncertainties and clarify the taxonomy of this complex genus and other genera within the tribe Hibisceae.
Flow-driven systems enable precise control of inorganic crystal nucleation, polymorph selection, and self-organization, creating tunable crystalline architectures under far-from-equilibrium conditions.
