Search Results (2,867)

Consolidated bioprocessing (CBP) has been widely studied as an integrated route for converting biomass into biofuels and bioproducts, yet most quantitative modeling work has focused on ethanol as a single response. Because CBP systems can generate multiple products and co-products, this study develops a literature-derived benchmark for multi-product CBP modeling using a standardized dataset assembled from published endpoint experiments. Product prediction is formulated as both an observed-only product-wise problem and a joint multi-output problem, allowing direct comparison under study-aware grouped validation. The modeling space integrates biomass composition, pretreatment descriptors, microbial and consortium characteristics, reactor information, operating conditions, and engineered categorical descriptors of feedstock, pretreatment family, and process configuration. Predictive performance was strongly product-dependent and was shaped by target support and missing-label structure. The observed-only product-wise formulation consistently outperformed the joint missing-as-zero multi-output strategy, indicating that naive zero-filling of unreported products is not well suited to sparse literature-derived CBP data. Among the evaluated products, butanol showed the clearest predictive signal, ethanol was only moderately learnable, and the sparsest co-products remained too weakly supported for strong quantitative inference. Overall, this study provides a benchmark for multi-product CBP modeling and clarifies both the potential and the current limitations of literature-derived data for broader data-driven biorefinery analysis. Full article

Indigenous pig breeds represent valuable reservoirs of genetic diversity but face increasing risks of genetic erosion due to uncontrolled crossbreeding with commercial lines. The Ashanti Dwarf Pig (ADP) of Ghana is an important local genetic resource well-adapted to tropical environments but poorly characterised at the genomic level. Using high-density SNP data from the ADPs and publicly available datasets from other African, European, and Asian pig populations, we examined genetic diversity, population structure, inbreeding, and selection signatures. After quality control, 59,124 SNPs across 875 individuals were retained. ADPs exhibited high polymorphism (~99%) and moderate heterozygosity but also elevated inbreeding (FIS = 0.15; FROH = 0.40), indicating recent inbreeding under free-range management. Population structure revealed that ADPs cluster closely with other African pigs and European breeds more than Chinese breeds. ADMIXTURE analysis, however, indicated recent introgression from both European and Chinese lines. Selection scans revealed candidate genes linked to metabolism-Zinc Finger Ran-Binding Protein 3 (ZRANB3), growth-Sortilin Related VPS10 Domain Containing Receptor 1 (SORCS1), reproduction–Sus Scrofa Chromosome 9 quantitative trait loci (SSC9 QTLs), and immunity-Tudor Domain-Containing Protein 3 and CKLF-like MARVEL transmembrane Domain Containing 7 (TDRD3, CMTM7), reflecting adaptation to tropical production systems. Our results provide a comprehensive genomic characterisation of the ADP within a global context, revealing both genetic richness and vulnerability to genetic erosion. These findings underscore the importance of structured breeding and conservation strategies in preserving this unique African genetic resource and supporting sustainable pig production under changing climatic conditions. Full article

Reliable detection of internal defects in pressure vessel structures remains essential for structural safety and condition-based maintenance. This study presents a low-complexity structural health monitoring framework based on fiber Bragg grating (FBG) sensing and multiresolution wavelet analysis for void detection in curved pressure vessel structures under guided wave excitation. Guided waves are introduced using piezoelectric actuators, while the FBG sensors capture the resulting strain-induced wavelength variations. Due to the limited bandwidth of the optical interrogator, the recorded signals represent the strain envelope response associated with guided wave interaction rather than the resolved ultrasonic carrier waveform. To characterize defect-induced changes, the acquired signals are analyzed using continuous wavelet transform (CWT) for time–frequency interpretation, and discrete wavelet transform (DWT) and wavelet packet transform (WPT) for energy-based multiresolution feature extraction. Experimental results show that void defects lead to consistent redistribution of wavelet-domain energy and increased non-stationarity in the measured strain responses. These trends are further supported by finite-element simulations, which reproduce similar energy redistribution patterns between intact and damaged cases. The proposed framework provides a physically interpretable and computationally efficient approach for defect detection using low-bandwidth FBG sensing, without reliance on high-speed acquisition or data-intensive learning models. The results demonstrate the feasibility of using energy-based multiresolution analysis of FBG strain signals for practical and scalable structural health monitoring of pressure vessel systems. Full article

During Zambia’s 2023–2024 cholera outbreak, reliance on single-pathogen diagnostics risked overlooking co-circulating enteric pathogens. This study estimated the prevalence of rotavirus and described co-detected enteropathogens and rotavirus genotypes among patients admitted with suspected cholera. A sub-analysis was conducted on diarrhoeal stool specimens collected from patients who met the syndromic suspected cholera case definition. Samples were tested using the Bosphore^® Gastroenteritis Panel v2, a multiplex PCR enteric panel, to detect rotavirus and other gastrointestinal pathogens. Rotavirus-positive specimens with sufficient viral load were further genotyped by RT-PCR targeting of the VP7 and VP4 genes. Among 319 suspected cholera admissions, rotavirus was detected in 18 patients (5.6%; 95% CI 3.4–8.8%), predominantly in children aged <5 years (27.8%, 5/18) and 6–17 years (27.8%, 5/18). Co-infection was common, with 17/18 (94.4%) of rotavirus-positive samples showing co-infection with at least one additional enteric pathogen, most frequently Campylobacter. Genotyping was successful in five samples and revealed heterogenous circulating strains, including G1P[8], G2P[4], G3P[6], G12P[6], and G1P[6]. Rotavirus accounted for a modest proportion of suspected cholera admissions and was frequently detected in mixed enteric infections, underscoring the value of multi-pathogen diagnostics and continued molecular surveillance during outbreak response. Full article

Secondary plant metabolites such as polyphenols (flavonoids, phenolic acids, stilbenes, and lignans) are valued for their numerous benefits and commonly associated with antioxidants, anti-inflammatory, anticancer, neuroprotective, and antidiabetic effects. Comprehensive profiling facilitates their identification and quantification, with metabolomics emerging as an increasingly valuable tool. This current work provides an overview of recent application of metabolomics for investigating polyphenols with nutraceutical potential. It also highlights the influence of plant species and environmental stressors (both biotics and abiotic) inducing metabolic shifts that promote the production and accumulation of these bioactive compounds (BACs). While various analytical tools including mass spectrometry (MS) coupled with liquid chromatography (LC-MS) or gas chromatography (GC-MS), as well as nuclear magnetic resonance (NMR) spectroscopy have been utilized to identify the diverse group of polyphenol metabolites, LC-MS has been predominantly used due to its superior sensitivity and wider metabolite coverage, with flavonoids being the main compounds identified. The integration of bioinformatic tools and pathway enrichment analysis in metabolomics is providing expansive insight into the pool of polyphenols, and their bio-functional interpretation and metabolic variations beyond the narrow scope of chromatographic separation alone. This overview also identifies limitations of current methods and suggests directions for future research, aimed at facilitating the development of nutraceuticals. Full article

This study investigates the communicative power of editorial cartoons in Ghana’s public discourse, focusing on how they inform, critique, and influence sociopolitical narratives. Drawing on a dataset of cartoons by Tilapia—one of the country’s leading cartoonists—published between May 2024 and May 2025, the paper explores how cartoons address themes such as economic hardship, youth addiction, cultural values, environmental degradation, and political hypocrisy. The central question guiding this study is as follows: How do Tilapia’s editorial cartoons visually construct and critique key national issues—such as economic hardship, environmental degradation, youth addiction, and political hypocrisy—in Ghanaian public discourse? Guided by an integrated theoretical framework from semiotics, visual rhetoric, and critical metaphor theory, the analysis reveals how cartoons use humour, caricature, exaggeration, and symbolic imagery to simplify complex realities and foster civic reflection. The study highlights how cartoons serve not only to entertain but also to hold power to account, amplify public concerns, and promote sociopolitical engagement. Through detailed visual analysis of ten selected cartoons, the paper underscores their capacity to critique governance, expose contradictions, and reflect collective sentiment—especially during election cycles. Overall, the research affirms the evolving role of visual satire as a potent medium of resistance, cultural expression, and democratic participation in Ghana. By bridging visual culture and critical discourse, the paper contributes to broader understandings of the role of the media in shaping public perception and fostering informed citizenship. Full article

Background/Objectives: Multidrug-resistant (MDR) Gram-negative bacteria represent a significant public health concern worldwide, particularly in resource-limited settings. In Ghana’s Tamale Metropolis, limited data exist on the prevalence and trends of MDR bacteria, posing challenges to effective antimicrobial stewardship. Methods: This study analyzed microbiological data from 2020 to 2023 to address these knowledge gaps. Results: Among the 4859 clinical samples analyzed, 1570 (33.7%) yielded Gram-negative bacterial isolates, with an MDR prevalence of 40.6%. The most frequently isolated organisms were Klebsiella spp. (28.9%) and Escherichia coli (20.4%). Resistance to cephalosporins (51%) and ciprofloxacin (46%) was particularly pronounced, highlighting the diminishing efficacy of commonly used antibiotics. Older adults (aged 60 years and above) presented the highest MDR prevalence, reflecting the vulnerability of this demographic group. Conclusion:These findings underscore the urgent need for enhanced antimicrobial stewardship programs, improved infection prevention and control measures, and continuous resistance monitoring to combat the growing threat of MDR bacteria in the region. Strengthening laboratory capacity and adherence to strict antibiotic usage policies are crucial for reducing the burden of MDR infections and improving patient outcomes. Full article

In Ghana’s political landscape, actors from both ruling and opposition parties deploy a range of linguistic and rhetorical strategies in their pursuit of political power. Prominent among these is political labeling, a discursive practice used to construct favorable self-images while delegitimizing opponents through derogatory and face-threatening expressions. This study examines how political labeling functions as a strategic tool for identity construction and power negotiation in Ghana’s electoral landscape. Situated within the fields of political discourse and communication studies, the study demonstrates how labeling operates simultaneously as a rhetorical and framing device that reflects and reinforces underlying sociopolitical power dynamics. Drawing on empirical data from major Ghanaian news portals, the study adopts an integrated analytical framework combining Framing Theory and the Theory of Impoliteness. It analyzes public labeling directed at three prominent political figures across three election cycles (2016, 2020, and 2024). The findings show that politicians, activists, and their supporters strategically deploy labels to reconstruct rivals’ identities, inflict reputational damage, and provoke ridicule, thereby undermining their perceived competence and public credibility. Focusing on derogatory labels, we argue that political labeling serves primarily to generate emotional responses, shape public perception, and mobilize collective action, ultimately influencing the trajectory of national political discourse. By examining the interplay between language, identity construction, and power, this research offers a nuanced account of how political labeling shapes individual attitudes, group dynamics, and the broader political culture in Ghana. Full article

Since the 1960s, research on sea-level rise (SLR) and land subsidence has grown significantly; however, comprehensive syntheses remain limited. This study presents a systematic review of 2171 publications spanning 1964–2025, combining a global perspective with a regional focus on the Gulf of Guinea, a critically underrepresented region within the African continent. The results show a steady increase in publications, exceeding 80 per year since 2015. A combined bibliometric and content analysis approach was adopted, integrating large-scale metadata analysis with an in-depth evaluation of 166 full-text studies corresponding to 311 study sites. Bibliometric analyses highlight four main themes: (1) factors driving SLR and subsidence, including climate, geophysical, and human effects; (2) monitoring methods such as tide gauges, GPS, and InSAR-based land motion tracking; (3) impacts on coastal communities, and ecosystems; and (4) strategies for adaptation and mitigation. A comparative assessment of global research output and Low-Elevation Coastal Zone (LECZ) exposure reveals a marked spatial mismatch, with critically vulnerable regions, such as the Gulf of Guinea, remaining significantly underrepresented (44 studies). The synthesis identifies key conceptual, methodological, and practical research gaps. Addressing these gaps requires holistic frameworks that integrate SLR and subsidence, long-term monitoring networks, advanced modeling, and evidence-based adaptation strategies. By linking bibliometric evidence with the interpretation of research trends and gaps, this study provides an analytical basis for supporting monitoring strategies, coastal planning, and adaptive responses. Additionally, the results highlight priority directions for future research directions in the Gulf of Guinea region. Full article

Background/Objectives: Aging is associated with physiological, biochemical, and psychosocial changes that can significantly affect nutritional status and overall health. In Sub-Saharan Africa (SSA), older adults face unique age-related challenges that may compromise healthy aging, yet evidence remains fragmented. This systematic review synthesized the existing literature on the nutritional status, age-related challenges, and strategies to promote healthy aging of older adults in SSA. Methods: A systematic literature search was conducted on PubMed, Scopus, ScienceDirect, and Cochrane Library to identify relevant studies published up to 10 December 2025. Results: Fifty-five studies met the inclusion criteria, with most of the studies coming from South Africa, Ghana, and Nigeria. Amongst community-dwelling populations, approximately 30–65% of the older adults were either malnourished or at risk of malnutrition, while hospital-based studies reported markedly higher burdens, with malnutrition prevalence exceeding 70% in some settings. Undernutrition, micronutrient deficiencies, and the coexistence of overweight and obesity were frequently observed, reflecting the region’s ongoing nutrition transition. Frailty emerged as the predominant age-related challenge, with prevalence ranging around 10–60%. Other common challenges included sarcopenia, reduced muscle strength, functional disability, cognitive impairment, and dysphagia, all of which were closely related to poor nutritional status, food insecurity, multimorbidity, and reduced quality of life. Few studies reported on healthy aging strategies, with the limited evidence suggesting that nutrition education, physical activity, and psychosocial interventions may enhance nutritional and functional outcomes. Conclusions: The need for context-specific, nutrition-sensitive interventions, and stronger health and social support systems is warranted to promote healthy aging in SSA older adults. Full article

Henipaviruses (HNVs), including Nipah virus (NiV) and Hendra virus (HeV), are highly pathogenic and often lethal zoonotic viruses with broad species tropism and no approved human vaccines. The emergence of genetically divergent HNVs—including Ghana virus (GhV), Langya virus (LayV), and Mojiang virus (MojV)—emphasizes the need for broadly protective countermeasures. Here, we evaluated the antibody (Ab) responses to sequential mRNA vaccines encoding the membrane-bound attachment glycoprotein (gG) from NiV, GhV, and/or LayV in a pilot study with Indian rhesus macaques. Serum binding Ab responses were quantified by ELISA against five soluble gG antigens (NiV, HeV, GhV, LayV, MojV). Functional activity was assessed by neutralization assays using NiV, HeV, and GhV pseudoviruses, and by receptor-blocking ELISA. Sequential vaccination induced high-titer IgG binding against all five HNV gGs with increasing breadth after each dose. Pan-genus regimens elicited moderate neutralizing Ab titers against NiV, HeV, and GhV, whereas the NiV-only regimen elicited potent but narrow neutralization against NiV and HeV. Conversely, the GhV-LayV-GhV regimen elicited strong binding to GhV, LayV, and MojV gG and robust neutralization of GhV pseudovirus, but limited cross-reactivity to NiV and HeV. In this pilot study, we demonstrated that mRNA vaccination can elicit broadly reactive binding and neutralizing Ab responses across phylogenetically distant HNVs. Additionally, we show GhV pseudovirus neutralization for the first time. Collectively, these data provide a foundation for the development of next-generation pan-genus HNV vaccines capable of mitigating future HNV outbreaks. Full article

Gifted education is gaining traction in many non-Western contexts, including the United Arab Emirates (UAE), which has developed many policies to develop giftedness. However, the identification of giftedness relies heavily on instruments developed in Western contexts, which have the potential to derail efforts toward promoting gifted education in the UAE. This study aimed to present data on 999 grade 4 to 12 students who completed the UAE’s national gifted identification test, known as the Hamdan Gifted test. Guided by the Cattell–Horn–Carroll theory, this study reports data on ability tests (verbal ability, nonverbal ability and preknowledge of mathematics and science) completed by students across the UAE between 2018 and 2023. The results revealed that 53% of the participants demonstrated superior ability in science, whereas 19% reported superior ability in mathematics. The percentage of students who demonstrated superior ability in other domains was as follows: verbal ability (52%; word crossing), verbal ability (14; true/false) and nonverbal ability (29%). The study concludes with recommendations for teacher development to enhance the teaching of mathematics to gifted students in schools in the UAE and beyond. Full article

Nigeria entered the 2020 COVID-19-related oil price downturn without the fiscal buffers that numerous resource-rich economies had built over time. Despite heavy dependence on petroleum revenues, the country has made limited use of stabilization tools such as structured hedging programs, sovereign savings mechanisms, or strategic reserves, leaving public finances exposed to external shocks. Drawing on political choice theory and the resource governance literature, this study examines how institutional conditions shaped crisis management during the 2020 oil price collapse and the COVID-19 pandemic. The study combines qualitative institutional analysis with a stochastic counterfactual simulation. It compares Nigeria’s policy approach with those of oil-producing countries including Mexico, Saudi Arabia, the United Arab Emirates, Angola, and Ghana, using data from the IMF, World Bank, Afreximbank, and peer-reviewed sources. The counterfactual simulation is calibrated to Nigeria’s 2019 federal budget oil benchmark of US $60 per barrel, with the IMF’s 2019 petroleum price assumption used as a robustness check. The model treats hedging as a form of partial fiscal insurance rather than full stabilization. Results suggest that hedging sufficient to offset 10%, 20%, and 30% of the shock would have improved 2020 GDP decline from −1.80% to approximately −1.62%, −1.44%, and −1.26%, respectively. The analysis identifies institutional gaps in Nigeria’s use of hedging, sovereign savings, and reserve infrastructure. The counterfactual results indicate that even modest oil hedging could have meaningfully softened the 2020 downturn, with the 20% scenario reducing GDP contraction by an estimated 0.36 percentage points. These findings suggest that governance constraints contributed materially to fiscal vulnerability. The study proposes a four-pillar framework centered on risk hedging, revenue savings, strategic investment, and institutional reform to strengthen fiscal stability and resilience to external shocks. Full article

Face recognition technology implemented on blockchain platforms enhances the security and integrity of face embeddings (the numerical representations extracted from facial images). However, it encounters unique privacy challenges due to the transparent and immutable nature of blockchains. Face embeddings hold sensitive biometric data that, once compromised, cannot be changed like conventional passwords. This study offers a new framework for using the Internet Computer Protocol (ICP), a decentralized blockchain platform, to implement CosPEEPChain (blockchain-secured privacy-preserving face recognition using eigenface perturbation and CosFace). CosPEEPChain integrates eigenface decomposition with local differential privacy (LDP) to ensure the privacy of face embeddings, CosFace for cosine margin learning’s discriminative ability on perturbed eigenface representations, and blockchain to ensure transparent and tamper-proof storage of face recognition models. We present CosPEEP (privacy-preserving face recognition using eigenface perturbation and CosFace), which shows substantial improvements and maintains consistent performance over baseline PEEP (privacy using eigenface perturbation), with a mean accuracy of 96.77 ± 0.85% and stability (std = 0.31–1.28%) across a range of privacy budgets ($ϵ\in [0.5,8.0]$) on the LFW dataset. Statistical significance testing confirms CosPEEP surpasses PEEP in 11/16 privacy budgets (p < 0.05) with a mean improvement of +1.92%. We also present ArcPEEP, which uses additive angular margin loss (ArcFace) to compare margin-based improvements. We verify the attributes of the models on the chain. In total, CosPEEPChain uses fewer cycles compared to the baseline ICP face recognition. Full article

Toxoplasmosis is a widely distributed zoonosis caused by the protozoan parasite Toxoplasma gondii. Infection during pregnancy is a major public health concern due to its potential impact on both maternal health and fetal development. Early detection of maternal infection is critical to prevent adverse outcomes; however, maternal signs are often subtle, non-specific or absent, complicating timely diagnosis. This scoping review aimed to map and synthesise existing evidence on early maternal signs, pregnancy and foetal outcomes, frequently assessed risk factors, and diagnostic approaches of toxoplasmosis in expectant mothers in Africa. The review was done in accordance with the PRISMA-ScR guidelines. A literature search of PubMed, Scopus, ResearchGate, and Google Scholar was performed to identify studies published between 2000 and 2025. Retrieved records were managed using Zotero (version 8.0.4) for deduplication and screening. Only English-language studies conducted in Africa and reporting relevant maternal or clinical data were included. A total of 28 cross-sectional studies were included. Lymphadenopathy (25.0%) was the most frequently reported maternal early sign, followed by flu-like illness, asymptomatic infection, low-grade or mild fever, and fatigue or malaise (each 10.7%). Congenital anomalies (50.0%) and miscarriage or spontaneous abortion (42.9%) were the most commonly reported foetal and pregnancy outcomes. Frequently reported risk factors were exposure to cat faeces (57.1%) and ingestion of undercooked or raw meat (42.9%). Diagnostic approaches were commonly enzyme-based immunoassays (78.6%), with limited use of RDTs and molecular methods. These findings suggest the need for improved early detection and prevention strategies in high-risk, low-resource African settings. Enhancing routine screening, health education, and access to appropriate diagnostics are considered. Future studies should consider adopting standardised reporting and integrating sensitive, affordable, rapid diagnostic approaches to enhance early detection and reduce the burden of congenital toxoplasmosis. Full article