Scientific African最新文献

{"title":"High-Performance terahertz patch antenna with metamaterials for advanced 6G and biomedical technologies","authors":"Younes Siraj ,&nbsp;Youssef Khardioui ,&nbsp;Kaoutar Saidi Alaoui ,&nbsp;Jaouad Foshi","doi":"10.1016/j.sciaf.2025.e02716","DOIUrl":"10.1016/j.sciaf.2025.e02716","url":null,"abstract":"<div><div>This paper explores the improvement of terahertz patch antenna performance using metamaterials (MTM) for 6G and biomedical systems. The suggested structure is a slotted patch antenna with a partial ground. Operating at 3.62 THz, the antenna is implemented on a polyimide substrate with a thickness of 4 µm. A MTM of 6 × 5 array of SRR elements is proposed and integrated beneath the antenna. This inclusion results in significant enhancements in various antenna key parameters. The reflection coefficient decreases from -30.85 dB to -42.33 dB, ensuring lower signal loss and optimized data transmission. Furthermore, the radiation pattern exhibits marked advancements, with the antenna gain improving from 3.89 dB to 6.04 dB and the directivity rising from 5.00 dB to 7.54 dB, providing more concentrated radiation. These results demonstrate the capability of MTM to elevate THz patch antenna characteristics for various applications including 6G networks and biomedical imaging systems.</div></div>","PeriodicalId":21690,"journal":{"name":"Scientific African","volume":"28 ","pages":"Article e02716"},"PeriodicalIF":2.7,"publicationDate":"2025-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143886239","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Mobile robot for leaf disease detection and precise spraying: Convolutional neural networks integration and path planning","authors":"Youssef Bouhaja ,&nbsp;Hatim Bamoumen ,&nbsp;Israe Derdak ,&nbsp;Safiyah Sheikh ,&nbsp;Moulay El Hassan El Azhari ,&nbsp;Hamza El Hafdaoui","doi":"10.1016/j.sciaf.2025.e02717","DOIUrl":"10.1016/j.sciaf.2025.e02717","url":null,"abstract":"&lt;div&gt;&lt;div&gt;Plant diseases are a major cause of crop yield and quality losses, particularly in tomatoes, where bacterial, fungal, and viral diseases significantly impact production. Traditional disease detection methods are slow and prone to human error, limiting their use in large-scale agriculture. This study presents a mobile robot equipped with a custom convolutional neural network (CNN)-based system for early-stage disease detection and pesticide spraying; the robot was trained and tested on 13,191 tomato leaf images, using an 80:20 train-test split. The robot features a Raspberry Pi (ARM Cortex-A72, 1.5 GHz, 4 GB RAM) for processing, an RGB camera (12 MP, 30 fps), and a LiDAR module (360° range, 12 m, 0.1° resolution) for navigation. The pesticide spraying mechanism is driven by an Arduino-controlled stepper motor (1.8° step angle) with precise 180° movement for targeted application. The system was evaluated based on performance and efficiency evaluation, cost-effectiveness, environmental impact assessment, and sensitivity analysis. In navigation tests, the robot maintained minimal deviation of 1 cm in open fields, with fast obstacle detection and path adjustment in dynamic environments, including obstacles detected within 150 milliseconds. The robot achieved a precision rate of 95 % after just 50 epochs of training with a real-time latency of 0.015 s per image classification, which significantly outperforms the highest precision rate of 91 % achieved at 70 epochs from literature, where the real-time latency exceeded 0.028 s. Validation accuracy remained between 85 % and 90 %, indicating strong generalization. Classification metrics showed exceptional performance, with accuracy, precision, recall, and F1-scores all exceeding 91 % across 10 tomato leaf classes. The confusion matrix showed minimal misclassifications, and the receiver operating characteristic curve confirmed the model’s strong ability to differentiate between healthy and diseased leaves with area under the curve values exceeding 0.90. Energy consumption was optimized, with the robot operating between 4.3 and 5.8 Watts, ensuring efficient power usage. Environmental impact assessments revealed a 40 % reduction in pesticide use and a 44.7 % decrease in worker exposure.&lt;/div&gt;&lt;div&gt;Sensitivity analysis showed performance variation under varying weather conditions, light variations, and environmental disturbances, with navigation accuracy dropping from 88 % at 10 °C to 75 % at 40 °C, and classification accuracy decreasing from 92.5 % at 10 °C to 77.3 % at 40 °C, with 1200 Lux light and 18 m/s wind. Additionally, energy consumption rose from 11.2 Wh at 10 °C to 18.6 Wh at 40 °C. These results demonstrate the effectiveness of the proposed system for real-time, autonomous disease management, offering a reliable and efficient solution for precision agriculture. While the system's applicability to different crops is limited by the training dataset, it can be generalized to other plant speci","PeriodicalId":21690,"journal":{"name":"Scientific African","volume":"28 ","pages":"Article e02717"},"PeriodicalIF":2.7,"publicationDate":"2025-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143874085","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Financial development as a catalyst for tax revenue generation in Ghana: exploring the channels","authors":"Kofi Kamasa ,&nbsp;Ellen Korsah ,&nbsp;Isaac Bonuedi ,&nbsp;Priscilla Forson","doi":"10.1016/j.sciaf.2025.e02715","DOIUrl":"10.1016/j.sciaf.2025.e02715","url":null,"abstract":"<div><div>This paper investigates the effect of financial sector development in driving tax revenue generation in Ghana, as well as the channels through which this may occur. The paper utilizes an annual time-series dataset over the period 1980 – 2021. The auto-regressive distributed lag (ARDL) cointegration technique is employed as the main estimation strategy, with the fully modified least squares (FMOLS) and canonical cointegrating regression (CCR) cointegration techniques serving as robustness checks. The findings reveal that financial development significantly enhances tax revenue generation in the long run, with indirect, corporate, and income taxes showing a higher sensitivity to financial sector development over the long run. Furthermore, the study identifies a reduction in the shadow economy, plausibly through the formalization of informal sector activities, as a critical pathway through which financial development contributes to improved tax revenue generation. Finally, it is found that effective control of corruption, better human capital development (education), and economic growth (higher GDP) constitute significant drivers of Ghana’s tax revenue in the long run. The study recommends the enforcement of stricter regulations to ensure tax compliance within financial institutions, fostering closer collaboration between tax authorities and financial institutions to facilitate the exchange of relevant information, and improving tax administration processes to ease taxpayer compliance.</div></div>","PeriodicalId":21690,"journal":{"name":"Scientific African","volume":"28 ","pages":"Article e02715"},"PeriodicalIF":2.7,"publicationDate":"2025-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143883204","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Cyberbullying detection in social media using natural language processing","authors":"Fawzya Ramadan Sayed ,&nbsp;Eman Hassan Elnashar ,&nbsp;Fatma A. Omara","doi":"10.1016/j.sciaf.2025.e02713","DOIUrl":"10.1016/j.sciaf.2025.e02713","url":null,"abstract":"<div><div>Recently, the popularity of social media has significantly increased, leading to a rise in cases of cyberbullying. Many instances of cyberbullying can be found in comments and posts on social media platforms such as Twitter, often causing significant emotional and psychological distress. Therefore, it is crucial to identify cyberbullying messages as early as possible to mitigate their impact. This paper introduces a model for detecting cyberbullying by combining Machine Learning (ML) classifiers with Natural Language Processing (NLP) techniques. The study utilizes a dataset of 39,870 Twitter posts and comments, categorized into five types of cyberbullying: religion, age, gender, ethnicity bullying, and non-cyberbullying. The proposed model aims to train ML classifiers after being processed using NLP techniques. It has been implemented using five ML classifiers; Random Forest, Support Vector Machine, Logistic Regression, Naïve Bayes, and K-Nearest Neighbor. According to the implementation results, it is found that Random Forest classifier, Support Vector Machine classifier, Logistic Regression classifier, Naive-Bayes classifier, and K-Nearest Neighbor classifier achieve accuracy rates of 94 %, 93 %, 92 %, 92 %, and 73 % respectively. Therefore, Random Forest classifier achieves the highest accuracy and performs better than other classifiers. In contrast, K-Nearest Neighbor classifier achieves the lowest accuracy.</div></div>","PeriodicalId":21690,"journal":{"name":"Scientific African","volume":"28 ","pages":"Article e02713"},"PeriodicalIF":2.7,"publicationDate":"2025-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143874082","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Cascading effects of malaria on hepatic function and gut microbiota: Investigating the prospective therapeutic utility of Phyllanthus amarus alkaloid extract","authors":"Innocent Onyesom ,&nbsp;Chinwendu Obogheneophruhe Elu ,&nbsp;Ugochukwu Uzuegbu ,&nbsp;Cyril Chukwudi Dunkwu","doi":"10.1016/j.sciaf.2025.e02707","DOIUrl":"10.1016/j.sciaf.2025.e02707","url":null,"abstract":"<div><div>Malaria remains a critical global health challenge, not only due to its parasitic burden but also because of its capacity to induce severe hepatic dysfunction and disrupt gut microbiota, which together aggravate disease outcomes. In this study, we employed a murine model of <em>Plasmodium berghei</em> infection to evaluate the therapeutic potential of <em>Phyllanthus amarus</em> alkaloid extract. Unlike previous investigations that focused on isolated endpoints, our research integrated detailed histopathological grading, serum liver function assays, immunohistochemical analyses of apoptotic and inflammatory markers, and gut microbiota profiling in a single experimental framework. This comprehensive approach enabled us to gain a complete understanding of the gut–liver axis during malaria infection. We observed that malaria infection significantly elevated serum enzyme levels, bilirubin concentrations, and inflammatory cell infiltration while disturbing gut microbial balance and impairing intestinal barrier integrity, characterizing malaria-induced hepatic dysfunction. Perturbed gut microbiota composition and subsequent immune alterations are also evident. Administration of <em>P. amarus</em> alkaloid extract in a dose-dependent manner effectively restored liver function markers, reduced Kupffer cell hyperplasia, normalized bile acid levels, and modulated gut microbiota composition, thereby mitigating both hepatic inflammation and apoptosis. These findings reveal that the extract not only alleviates malaria-induced liver damage but also preserves intestinal homeostasis, suggesting a novel dual therapeutic role. Conclusively, our study provides new insights into the interplay between liver and gut responses during malaria infection and underscores the potential of <em>P. amarus</em> alkaloid extract as an adjunct or alternative therapeutic strategy to improve clinical outcomes in malaria.</div></div>","PeriodicalId":21690,"journal":{"name":"Scientific African","volume":"28 ","pages":"Article e02707"},"PeriodicalIF":2.7,"publicationDate":"2025-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143883205","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Fog-IoPM: Fog computing for Internet of Plants data management","authors":"Yassine Boukhali,&nbsp;Mohammed Nabil Kabbaj,&nbsp;Mohammed Benbrahim","doi":"10.1016/j.sciaf.2025.e02682","DOIUrl":"10.1016/j.sciaf.2025.e02682","url":null,"abstract":"<div><div>Traditional irrigation methods often rely on static schedules, which limits adaptability to dynamic growing conditions. Current Internet of Things (IoT) and fog based irrigation systems encounter challenges, such as network interruptions, high latency, data loss, and inaccurate water allocation due to limited precision in calculating irrigation requirements. Addressing these issues in precision irrigation requires a flexible and resilient architecture that combines advanced technologies for improved accuracy. This study introduces Fog-IoPM, a fog-based system, employing Fog computing, LoRaWAN, and a Microservices Architecture (MSA) to enhance scalability, availability, and resource efficiency in precision irrigation. The Fog-IoPM architecture mitigates data loss during network outages by locally storing data, which it transmits to the cloud upon reconnection, thus ensuring a complete dataset for decision-making and reducing water consumption. Experiments were conducted across two outdoor areas and an indoor prototype cultivated with Moringa oleifera Lam, comparing data collected before and after implementing the system. Results show a significant improvement in data availability, increasing from 65.10% to 93.86%, and a reduction in packet loss to 7%. Additionally, water usage decreased by 72.72% due to more precise, data-driven irrigation scheduling. These findings demonstrate the potential of Fog-IoPM to enhance irrigation accuracy, optimize resource use, and provide scalable solutions for the Internet of Plants (IoP) in agriculture.</div></div>","PeriodicalId":21690,"journal":{"name":"Scientific African","volume":"28 ","pages":"Article e02682"},"PeriodicalIF":2.7,"publicationDate":"2025-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143868271","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Nutrition education improves households’ knowledge, attitudes, and practices towards consuming indigenous green leafy vegetables and legumes in Accra, Ghana","authors":"Patience Atitsogbey ,&nbsp;Emmanuel Kyereh ,&nbsp;Matilda Steiner-Asiedu","doi":"10.1016/j.sciaf.2025.e02710","DOIUrl":"10.1016/j.sciaf.2025.e02710","url":null,"abstract":"<div><h3>Objective and rationale</h3><div>We quantify the effect of nutrition education on knowledge and behaviour of households towards the consumption of green leafy vegetables and legumes among households in the Greater Accra metropolis. Anaemia persists among households in Accra, particularly among women and children. About 51 % of pregnant women were anaemic and 40 % of these anaemic women were iron deficient. Low consumption of indigenous leafy greens and legumes among urban poor communities is hindered by inadequate knowledge, attitude, and practice.</div></div><div><h3>Methods</h3><div>A longitudinal study using a quasi-experimental design (pretest-posttest control group) was conducted in the Accra Metropolitan Area. A total of 120 households in two communities were involved in the study. The intervention households (60 parent-child pairs) were given six-month nutrition education, while the control households (60 parent-child pairs) received no nutrition education. The study setting was the Greater Accra Metropolitan Area. Baseline haemoglobin levels were measured among the intervention households using a Haemocue device (URIT-12 haemoglobin meter) following standard practice before the implementation of the intervention. Knowledge, Attitude, and Practice (KAP) data were collected and analysed quantitatively using repeated ANOVA and Chi-Square tests.</div></div><div><h3>Results</h3><div>No significant differences were found between the intervention and the control group at baseline for KAP (<em>p</em> = 0.92, 0.07, 0.23). However, KAP substantially improved among the intervention group compared to the control group at the end line (<em>p</em> = 0.00, 0.03, 0.03). Similarly, good knowledge increased from 55 % (baseline) to 100 % (end line) among the intervention group, while a decrease in good knowledge was observed in the control group from 56 % baseline to 20 % at the end line. Good attitude and practice showed similar trends. Prevalence of anaemia at baseline was 62 % and 57 % among women and children respectively.</div></div><div><h3>Conclusion</h3><div>Nutrition education improved households’ knowledge, attitude, and practice toward the consumption of green leafy vegetables and legumes. These findings have implications for sustainable development goals two and three and for health promotion in Ghana.</div></div>","PeriodicalId":21690,"journal":{"name":"Scientific African","volume":"28 ","pages":"Article e02710"},"PeriodicalIF":2.7,"publicationDate":"2025-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143874084","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Flavonoids from the leaves of Monanthotaxis filipes modulate PCSK9 and LDLR","authors":"James G. Mayeka ,&nbsp;Yoseph Atilaw ,&nbsp;Daniel M. Shadrack ,&nbsp;Farkas Sarnyai ,&nbsp;Miklós Csala ,&nbsp;Krisztina Németh ,&nbsp;Stephen S. Nyandoro ,&nbsp;Viola Tamási ,&nbsp;Mate Erdelyi ,&nbsp;Joan J.E. Munissi","doi":"10.1016/j.sciaf.2025.e02709","DOIUrl":"10.1016/j.sciaf.2025.e02709","url":null,"abstract":"<div><div>Proprotein convertase subtilisin/kexin type 9 (PCSK9) plays a crucial role in the regulation of blood cholesterol levels. Its inhibition attenuates hypercholesterolemia and hence is a viable approach for the management of atherosclerotic cardiovascular disease (ASCVD). We evaluated the flavonoids of the leaves of <em>Monanthotaxis filipes</em> P.H. Hoekstra (Annonaceae) for their effect on PCSK9 and low-density lipoprotein receptor (LDLR) expression at the mRNA level in HepG2 cells using quantitative real-time PCR analysis and for their influence on protein expression by ELISA. Six flavonoids, including two chalcones (<strong>1, 5</strong>), three flavones (<strong>2</strong>–<strong>4</strong>), and one flavanone (<strong>6</strong>), were isolated by chromatographic techniques and identified by spectroscopic (NMR, IR, UV, MS) analyses. 2′,3′,4′,6′-Tetramethoxychalcone (<strong>1</strong>) reduced the PCSK9 protein amount and altered LDLR both on mRNA and protein levels, 6,7,8-trimethoxyflavone (<strong>2</strong>) inhibited PCSK9 both on mRNA and protein levels but did not change the amount of LDLR in HepG2 cells, whereas 2ʹ,4ʹ-dihydroxy-6ʹ-methoxy-3ʹ,5ʹ-dimethylchalcone (<strong>5</strong>) decreased PCSK9 and upregulated LDLR protein expression. Thus, chalcones <strong>1</strong> and <strong>5</strong>, flavones <strong>2</strong>–<strong>4</strong>, and flavanone <strong>6</strong> were shown to be promising compounds for the management of cardiovascular disease. Molecular dynamics simulations suggest that an allosteric mechanism underlies the inhibitory effect of <strong>2</strong> on PCSK9. In contrast, the pronounced activity of <strong>5</strong> is due to the interaction of its benzene ring with the Cys358, Pro438, Val460 and Trp461 residues of the catalytic site, as proposed by Molecular Mechanics Poisson Boltzmann surface area (MM-PBSA) analyses. Our results showed that chalcone <strong>5</strong> might be studied further for the management of atherosclerotic cardiovascular disease (ASCVD).</div></div>","PeriodicalId":21690,"journal":{"name":"Scientific African","volume":"28 ","pages":"Article e02709"},"PeriodicalIF":2.7,"publicationDate":"2025-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143858776","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Curcumin ameliorates dichlorvos-induced cardiac injury by suppressing oxidative stress and downregulating pro-inflammatory cytokines in male Wistar rats","authors":"W.A. Saka ,&nbsp;O.R. Kolawole ,&nbsp;A.A. Oladipo ,&nbsp;Y.D. Igbayilola ,&nbsp;R.E. Akhigbe","doi":"10.1016/j.sciaf.2025.e02711","DOIUrl":"10.1016/j.sciaf.2025.e02711","url":null,"abstract":"<div><h3>Background</h3><div>Dichlorvos is an organophosphate pesticide that is useful in the control of pests and insects, however, it also induces toxicity in non-target cells via the initiation of inflammation and oxidative stress. Meanwhile, curcumin has been reported to exhibit antioxidant and anti-inflammatory activities. Nevertheless, there is an inadequate understanding of the beneficial potential of curcumin in dichlorvos-induced cardiotoxicity.</div></div><div><h3>Aim</h3><div>This study investigated the cardio-protective effects of curcumin in dichlorvos-induced cardiotoxicity.</div></div><div><h3>Materials and methods</h3><div>Forty male Wistar rats were randomly allotted into four groups; the control (1 mL of olive oil), curcumin-treated (100 mg/kg), DDVP-treated (98.54 g/m³ of dichlorvos by inhalation), and DDVP + Curcumin-treated.</div></div><div><h3>Results</h3><div>It was observed that dichlorvos exposure led to cardiac histopathological damage such as focal vascular congestion, widened interstitial space between the cardiac myofibrils, and reduced thickness of the myofibrils. The results of the cardiac function test revealed a decrease in lactate dehydrogenase and a rise in creatinine kinase and troponin-I. These alterations were associated with elevated levels of plasma cholesterol and triglycerides, cardiac malondialdehyde (MDA), TNF-α, IL-1β, and C-reactive protein (CRP), and reduced superoxide dismutase activity. Meanwhile, curcumin treatment in dichlorvos-exposed rats restored cardiac histoarchitecture and lipid profile and attenuated DDVP-induced rise in cardiac MDA, TNF-α, IL-1β, and CRP, and DDVP-induced decline in cardiac superoxide dismutase activity.</div></div><div><h3>Conclusion</h3><div>Summarily, this study confirmed the cardiotoxicity of dichlorvos, and further demonstrated the protective effect of curcumin against dichlorvos-induced cardiotoxicity by suppressing pro-inflammatory cytokines and oxidative stress.</div></div>","PeriodicalId":21690,"journal":{"name":"Scientific African","volume":"28 ","pages":"Article e02711"},"PeriodicalIF":2.7,"publicationDate":"2025-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143850747","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Inclusive education in Africa: Transforming higher education in low-income countries","authors":"Muhamad Murtadlo ,&nbsp;Hasan Albana ,&nbsp;Yunita Faela Nisa ,&nbsp;Nurul Qolbi Izazy ,&nbsp;Neneng Tati Sumiati ,&nbsp;Mulia Sari Dewi ,&nbsp;Haslinda Abdullah ,&nbsp;Chinhara Henry","doi":"10.1016/j.sciaf.2025.e02708","DOIUrl":"10.1016/j.sciaf.2025.e02708","url":null,"abstract":"<div><div>Inclusive education has become a global priority, with the United Nations Convention on the Rights of Persons with Disabilities advocating its integration at all educational levels. However, most studies focus on primary and secondary education, leaving a gap in understanding inclusive practices within higher education, especially in low-income countries. This study addresses that gap by analyzing inclusive education initiatives in African higher education institutions through a systematic literature review of 15 relevant articles from databases such as Scopus, Web of Science, and ScienceDirect. The findings reveal that countries like Algeria, Nigeria, Ethiopia, Congo, Somalia, and Uganda face significant challenges, including inadequate infrastructure, limited educator training, and societal stigma. Despite these obstacles, several countries have made progress. Algeria and Nigeria have introduced laws to support students with special needs, Ethiopia has enhanced accessibility through international treaties, and Uganda has improved mentoring programs under the Persons with Disabilities Act. Best practices identified include the application of Universal Design for Learning (UDL), specialized teacher training, inclusive entrepreneurship programs, and adopting sign language in academic settings. While challenges persist, particularly regarding resource constraints and policy implementation gaps, the study highlights promising strategies for advancing inclusive higher education in Africa. Tailoring these approaches to local contexts can significantly improve educational access and quality for students with disabilities in low-income countries.</div></div>","PeriodicalId":21690,"journal":{"name":"Scientific African","volume":"28 ","pages":"Article e02708"},"PeriodicalIF":2.7,"publicationDate":"2025-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143858779","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}