Impact of Polypharmacy on Medication Adherence in Patients with Comorbid Type 2 Diabetes and Hypertension in Tanzania: A Cross-Sectional Study
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Faidon B Kihombo, Helfrid B Ilomo, Martine A. Manguzu
Abstract Background Diabetes mellitus and hypertension are increasingly prevalent non-communicable diseases that often coexist due to their interrelated pathophysiology and commonalities of risk factors. Effective …
Performance improvement of AC servo motor PID control with backlash compensation using a Hybrid Genetic Algorithm–Grey Wolf Optimization approach
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Shereen A. Fayad, Mohammed Shaban, Mohamed Attia
This paper presents a comprehensive experimental and simulation-based investigation of intelligent optimization techniques for PID-controlled AC servo drive systems. Three optimization approaches, namely the Genetic …
GH-mRNA expression and prediction of genetic improvement using selection index for body weight traits in turkeys
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Mohamed H. Khalil, Alaa A. Abd El-Motaleb, Manal M. Abdel-Rahman
This study aimed to evaluate the expected responses to a selection index based on body-weight-related traits to improve the productive performance of turkeys and to …
Salivary gland microbiome of Anopheles gambiae: a mini-review of acquisition, composition, and functional significance
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Celestina O. Olafusi, Israel Sunmola Afolabi, Olubanke O. Ogunlana
The salivary gland (SG) is the final barrier for Plasmodium transmission to humans but remains comparatively understudied relative to the midgut microbiome. This review synthesizes …
Strengthening existing climate services and prioritising new opportunities for nature-based solutions
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Petra B. Holden, Gerald Ngoma, Martine Visser
Abstract Co-production is essential for usable and useful climate services, yet expert-driven, supply-side approaches and limited engagement persist. We investigate the relationship between users’ current …
Electronic and structural properties of ZnO, Fe₂O₃, and Al₂O₃ clusters interacted with graphene oxide: a combined DFT and experimental study
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Ahmed Abdelhady A. Khalil, Mohamed H. Sayed, Asmaa G. Ibrahim
The work uses Density Functional Theory (DFT) with the B3LYP/LANL2DZ method to study the electronic and structural characteristics of Graphene Oxide (GrO) combined with ZnO, …
Reframing endometriosis care in low-resource settings: a pragmatic 5R framework for recognition, rule-out, relief, referral and review
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Sebastian Ken‐Amoah, Evans Kofi Agbeno, Samuel Agyeman
Endometriosis is a chronic inflammatory gynecological condition associated with severe dysmenorrhea, chronic pelvic pain, deep dyspareunia, cyclic bowel or urinary symptoms and infertility. It is …
Forkhead box O3 transcription factor fine-tunes IL-6 expression in mycobacteria-infected macrophages
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Manel Mejri, Yoldoz Bouzguenda, Sonia Ben Hamouda
Introduction Tuberculosis (TB) remains the deadliest infectious disease in humans; however, a robust immune response can either protect against or control the infection. Household contacts …
Combined bioactive PVA nanofibrous scaffolds loaded with Zn ascorbate MOFs and Petroselinum crispum (Parsley) extract for enhanced in-vitro and in-vivo wound healing applications
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Shimaa Husien, Rana R. Haikal, Eman A. Khalil
Wounds damage the skin, mucosal membranes, or underlying tissues, disrupting normal structure and function. Natural therapeutic agents, particularly plant extracts, have been widely used in …
Prevalence and determinants of obstetric violence during facility-based childbirth among postnatal women in Egypt
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Nehal Mohamed Eisa, Sarah Sabry, Yomna Youssef
Obstetric violence (OV) is a significant public health concern involving disrespectful, abusive, and non-consented practices during maternity care. This cross-sectional study investigated its prevalence and …
Biochar-based amendments reduce yield variability and enhance economic benefits in maize and cotton under smallholder farming in northern Benin
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Marzouk Yorou, Pierre G. Tovihoudji, Waliou A. Abiola
In sub-Saharan Africa, maize and cotton are essential for food security and economic development, yet their productivity remains constrained by poor soil fertility and climate …
Treatment Outcomes and Predictors of Nutritional Recovery Among Children with Severe Acute Malnutrition Attending the Outpatient Therapeutic Clinic in Mulago Hospital: A prospective longitudinal study
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Judith Lubega, Elizabeth Kiboneka, Esther Babirekere
Automating language input: investigating the effect of AI-generated contextual flashcards delivered via Anki on EFL learners’ sentence-level fluency
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Romila Karrar, Abbas Hussein Abdelrady, DafaAllah Osman Omer Ibrahim
The present research explored whether AI-powered contextual flashcards facilitated through Anki had a positive impact on learners’ sentence-level fluency in EFL settings. This research employed …
What preferences can - and cannot - predict in multi-agent online learning
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Omar Abbadi, Rida Laraki, Panayotis Mertikopoulos
We examine the interplay between ordinal, preference-based solution concepts in games and the long-run behavior of game dynamics, asking in particular to what extent the …
Lyra Almost Ricci-Bourguignon Solitons on Twisted Warped Product Manifolds
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Ayman Elsharkawy, Eman Ghareeb Rezk, Uday Chand De
This paper defines Lyra almost Ricci-Bourguignon solitons on twisted warped product manifolds and investigates the interaction between the twisting function, the Lyra scale, and the …
Bridging context gaps in low-resource language chatbots through multilevel attention and hybrid embedding approaches
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Godson Chetachi Uzoaru, Ikechukwu Ignatius Ayogu, Juliet Nnenna Odii
Conversational agents for low-resource languages (LRLs), such as Igbo, face major challenges, including limited annotated data, code-switching, and weak contextual coherence in multi-turn dialogue. This …
An Assessment of Biopolymer-Based Metal Oxide Nanoparticles for the Removal of Heavy Metals from Water
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Koffi Sossou, Alfred O. Mayabi, Zeraebruk Negusse Kahsay
Water contamination by toxic heavy metals continues to be a major environmental and public health issue, requiring affordable and sustainable remediation solutions. This study developed …
Machine Learning Prediction of Antimicrobial Response in Pleurotus ostreatus Extracts Cultivated on Cassava Peel: A Proof-of-Concept Study
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Olagunju Johnson Adetuwo
Abstract Antimicrobial resistance has intensified the search for sustainable natural products with antimicrobial properties. Pleurotus ostreatus cultivated on lignocellulosic agro-wastes, including cassava peel, offers potential …
A hybrid grey Wolf–arithmetic optimization algorithm for high-accuracy parameter identification of photovoltaic models
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Ahmed Bencherqui, Mohamed Amine Tahiri, Mhamed Sayyouri
Introduction In recent years, the hybridization of metaheuristic algorithms has been widely recognized as an effective strategy for overcoming the limitations of conventional optimization approaches, …
Cold and hot tumors: immunological determinants, cancer-immunity cycle dysregulation, and nanotechnology-driven therapeutic approaches
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Mohammed S. Teiama, Asmaa Gohar, Mahmoud Amr
Cancer remains a major global health burden and the second leading cause of mortality worldwide. Recent advances in cancer immunotherapy have emphasized the critical role …