Network meta-analysis of episiotomy approaches: comparing routine, restrictive, and non-episiotomy strategies and their effects on maternal and neonatal outcomes in primiparous patients
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Mahmoud Shaaban Abdelgalil, Basma Ehab Amer, El-Sayed El-Desouky
BACKGROUND: Episiotomy, although occasionally required during labor, can result in postpartum discomfort, perineal trauma, and delayed healing. This study offers a comprehensive comparison of the …
Analytical wave solutions in thermoelastic media with temperature-dependent properties via IMETF method
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Mohamed F. Ismail, Hamdy M. Ahmed, Soha Safwat
This study delivers an in-depth analytical investigation of exact wave solutions derived within the context of the Three-Phase-Lag (3PHL) generalized thermoelasticity model, explicitly incorporating the …
A deep learning forecasting of downside risk: application of a combined ESRNN-VAE
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Caston Sigauke, Ntebogang Dinah Moroke, Katleho Daniel Makatjane
Introduction Traditional time-series models such as the ARIMA and the Generalized Autoregressive Conditional Heteroscedasticity depend nonlinear dynamics and stationarity, limiting their ability to model nonlinear …
Sustainable supply chain practices of local versus international hotels: multiple case studies in Egypt
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Mahmoud Ahmed Abdo Hamza, Nazaré Rego
This study examines the adoption of sustainable supply chain practices (SSCPs) among three hotel categories: international chain hotels, 5-star local chains, and 4-star local chains …
NPK nano-fertilizers enhance growth, oil quality, and yield regularity in Picual olive trees
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Ibrahim Hmmam, Hassan Mahmoud Korkar, Islam Ahmed
Abstract This study aimed to assess the impact of green-synthesized NPK nano-fertilizers (NPKNF) on the growth, productivity, and quality of the ‘Picual’ olive cultivar under …
Barriers to uptake and implementation of malaria chemoprevention in school-aged children: a stakeholder engagement meeting report
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Colette Morlino, Isabel Byrne, Jane Achan
Malaria is a leading cause of death in school-aged children in sub-Saharan Africa, and non-fatal chronic malaria infections are associated with anaemia, school absence and …
Enhanced deep Convolutional Neural Network for SARS-CoV-2 variants classification
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Olaitan Igbagbo Awe, Hesborn Omwandho Obura, Ssemuyiga Charles
Introduction: Rapid and scalable classification of SARS-CoV-2 genomes from spike-gene sequences can support real-time genomic surveillance in contexts where whole-genome data or high-end computing resources …
A one health perspective on multidrug-resistant bacterial infections: integrated approaches for surveillance, policy and innovation
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Chinenyenwa Ohia, Olutayo Israel Falodun, Lucky Icomiare Adebudo
Multidrug-resistant (MDR) bacterial infections represent a growing global health emergency, driven by interconnected human, animal, and environmental factors. This review adopts a One Health perspective …
Environmental contaminants drive insecticide resistance in Anopheles mosquitoes in Ghana
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Christopher Mfum Owusu-Asenso, Isaac Kwame Sraku, Nana Aba Setorwu Eyeson
Insecticide-based interventions such as IRS and LLINs have significantly reduced malaria transmission globally. However, their sustainability is increasingly threatened by insecticide resistance. While insecticide and …
Fostering programming skill and critical thinking through AI-assisted PBL integration
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Christian Basil Omeh, Musa Adekunle Ayanwale, Lindelani Mnguni
Abstract Despite the increasing emphasis on computational literacy in higher education, we observed that many undergraduate students particularly in developing contexts struggle to master fundamental …
Removal of hexavalent chromium from contaminated synthetic groundwater via functionalized carbon nanomaterials modified with zinc and potassium
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Peter D. Ibikunle, O. O. Elemile, Praise Oladapo Ejigboye
Chromium has been shown to be a significant contributor to water pollution, leading to cancer. This study aimed to investigate the potential of various functionalized …
Detection of pneumonia in children through chest radiographs using artificial intelligence in a low-resource setting: A pilot study
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Taofeeq Oluwatosin Togunwa, Abdulhammed Opeyemi Babatunde, Oluwatosin Ebunoluwa Fatade
Pneumonia is a leading cause of death among children under 5 years in low-and-middle-income-countries (LMICs), causing an estimated 700,000 deaths annually. This burden is compounded …
Characterization of Aeromonas hydrophila isolated from freshwater fish with control trial
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Safaa M. Shabana, M. A. Rashed, Ayman Ali Atia
Aeromonas hydrophila is an opportunistic pathogen that is highly important for freshwater fish. In the present study, two freshwater fish species Nile tilapia (Oreochromis niloticus) …
Design, synthesis, and biological assessment of a novel series of coumarin-tethered thiazole derivatives as potential antibacterial agents
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Manal Sh Ebaid, Hanaa Farag, Mohamed Abdelraof
Since the discovery of penicillin in the 1930s, antibiotics have been the primary treatment for bacterial infections. However, antimicrobial resistance (AMR) has escalated due to …
An assessment of government-funded small-scale cage fish farming in Siavonga District, Zambia: performance, challenges and opportunities
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Oliver J. Hasimuna, Joseph Mphande, Moses Lengwe
Aquaculture is a key driver of food and nutrition security, rural livelihoods, and economic development in Zambia. This study evaluated the performance, challenges, and opportunities …
Coping strategies for food insecurity among rural households: an observational study of adaptive mechanisms
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Xikombiso Mbhenyane, Sefora Hazel Moshoaneng Makuse, Ayuk Betrand Tambe
Background Despite South Africa being food secure at the national level, overall food insecurity persists in rural communities with inadequate resources. The current study aims …
Numerical solutions for fractional optimal control problems of coupled diffusion systems via Laplace Adomian Decomposition Method
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Mahmoud S. Sebaq, Ahlam Hasan Qamlo, G. M. Bahaa
Abstract Fractional diffusion models play a pivotal role in describing anomalous transport processes observed in physics, biology, and engineering. This paper investigates a fractional optimal …
Explainable self-supervised learning for medical image diagnosis based on DINO V2 model and semantic search
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Alaa Hussien, Abdelkareem Elkhateb, M. Saeed
Medical images have become indispensable for decision-making and significantly affect treatment planning. However, increasing medical imaging has widened the gap between medical images and available …
Condition monitoring and fault diagnosis of power transformer based on non-invasive measurement
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M. Youssef, El-Said Abdelaziz, Hassan S. Mohamed
Abstract In modern power systems, it is crucial to monitor and detect internal faults in power transformers promptly and accurately to ensure reliability and prevent …
Mathematical modeling and machine learning approaches for biogas production from anaerobic digestion: A review
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Osama Hussein Galal, Mahmoud M. Abdel daiem, Hani S. Alharbi
Anaerobic digestion (AD) is a widely recognized method for converting organic waste into biogas, offering a sustainable solution for both waste management and renewable energy …