The effect of vitamin D deficiency on the RANKL/OPG ratio in rats by Rawan M. Khalaf, Abdullazez A. Almudhi

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The influence of genetic strain on fear and anxiety responses of laying hens housed in a cage-free environment by Bhavisha P. Gulabrai, Aaron S. Kiess, Kenneth E. Anderson, Allison N. Pullin

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Effect of Integrated Technologies on Production and Productivity of Pearl Millet in the Dryland Areas of Wag Himira Administrative Zone, Eastern Amhara, Ethiopia by Tafere Berhanu, Wubshet Beshir, Alemu Lakew

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The prevalence and determinants of food neophobia among adolescents and young adults in Zimbabwe by ST Dzvukamanja, P Chopera, TM Matsungo

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Optimizing crop type mapping for fairness by Ilya Gorbunov, Caroline M. Gevaert, Mariana Belgiu

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Anthelmintic Efficacy of Strongyle Nematodes to Ivermectin and Fenbendazole on Working Donkeys (Equus asinus) in and around Hosaena Town, Southern Ethiopia by Haben Fesseha, Mesfin Mathewos, Friat Kidanemariam

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Knowledge and Practices on Periodontal Health among Adults, Misungwi, Tanzania by John Michael Nyorobi, Lorna Celia Carneiro, Msafiri Nicodemus Kabulwa

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Assessing the Potential of Biochar for Improving Soil Physical Properties and Tree Growth by Riziki Mwadalu, Benson Mochoge, Benjamin Danga

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Enhancing nutrient intake, egg production, and egg quality by fermented Leucaena leucocephala leaf meal in a diet of laying quail by Merry Muspita Dyah Utami, Abigeil Akbar

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Prevalence and Predictors of Obesity among 7- to 17-Year-Old Schoolchildren in Urban Arusha, Tanzania by Haji Chomba, Haikael D. Martin, Judith Kimywe

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Trends in the use of non-nutritive sweeteners among female university students in the United Arab Emirates by Dalia Haroun, Aseel Ehsanallah, Wafa Mubarak

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Metformin Protective Effects in LPS-Induced Alzheimer's Disease Mice Model: NO-cGMP-KATP Pathway Involvement by Mojtaba Dolatshahi, Ali Khorsandinezhad, Behnam Ghorbanzadeh, Yousef Paridar, Donya Nazarinia

“…Initial latency (IL) was increased by LPS injection while it was reduced by metformin (250 mg), in shuttle-box test. …”
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Salad Vegetables as a Reservoir of Antimicrobial-Resistant <i>Enterococcus</i>: Exploring Diversity, Resistome, Virulence, and Plasmid Dynamics by Ihab Habib, Mushtaq Khan, Glindya Bhagya Lakshmi, Mohamed-Yousif Ibrahim Mohamed, Akela Ghazawi, Rami H. Al-Rifai

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Explainable Artificial Intelligence in Malignant Lymphoma Classification: Optimized DenseNet121 Deep Learning Approach With Particle Swarm Optimization and Genetic Algorithm by Haitham ELwahsh, Ali Bakhiet, Omar Ibrahim Alirr, Tarek Khalifa, Maazen Alsabaan, Mohamed I. Ibrahem, Engy El-Shafeiy

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Multimedia: multimodal mediation analysis of microbiome data by Hanying Jiang, Xinran Miao, Margaret W. Thairu, Mara Beebe, Dan W. Grupe, Richard J. Davidson, Jo Handelsman, Kris Sankaran

“…The package provides a uniform interface to direct and indirect effect estimation, synthetic null hypothesis testing, bootstrap confidence interval construction, and sensitivity analysis, enabling experimentation with various mediator and outcome models while maintaining a simple overall workflow. …”
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Generation of hypoimmunogenic universal iPS cells through HLA-type gene knockout by Juryun Kim, Yoojun Nam, Doyeong Jeon, Yujin Choi, SeonJu Choi, Chang Pyo Hong, Siyoung Kim, Hyerin Jung, Narae Park, Yeowon Sohn, Yeri Alice Rim, Ji Hyeon Ju

“…Messenger RNA analysis revealed robust expression of pluripotency markers, such as octamer-binding transcription factor 4, sex-determining region Y box 2, Krüppel-like factor 4, Lin-28 homolog A and Nanog homeobox, while protein expression assays confirmed the presence of octamer-binding transcription factor 4, stage-specific embryonic antigen 4, Nanog homeobox and tumor rejection antigen 1–60. …”
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Multi-scale fusion network for coal mine drill rod counting based on directional object detection in complex scenes by Fukai Zhang, Shuo Zhao, Haiyan Zhang, Yongqiang Ma, Qiang Zhang, Shaopu Wang, Wenjing Chang

“…Finally, the Drill-Count method in DrillNet was tested across multiple views, including drilling and withdrawal phases, with experimental results showing an average drill rod counting accuracy of 98.5 %, while achieving a processing speed of 76 frames per second (FPS), meeting real-time performance requirements.…”
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AI-based X-ray fracture analysis of the distal radius: accuracy between representative classification, detection and segmentation deep learning models for clinical practice by Marco Reisert, Fabian Bamberg, Maximilian Frederik Russe, Philipp Rebmann, Phuong Hien Tran, Elias Kellner, Elmar Kotter, Suam Kim

“…Cohen’s kappa was at least 0.80 in pairwise comparisons, while Fleiss’ kappa was 0.83 for all models. Fracture predictions were visualised with all three methods at different levels of detail, ranking from downsampled image region for classification over bounding box for detection to single pixel-level delineation for segmentation.Conclusions All three investigated approaches reached high performances for detection of distal radius fractures with simple preprocessing and postprocessing protocols on the custom-trained models. …”
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Research on Fracture Energy Prediction and Size Effect of Concrete Based on Deep Learning with SHAP Interpretability Method by Huiming Wang, Weiqi Zhang, Jie Lin, Shengpin Guo

“…Currently, experimental testing remains the predominant methodology for exploring fracture energy in concrete. …”
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Fracture resistance of endodontically treated teeth restored with indirect composite inlay and onlay restorations – An in vitro study by Ibraheem F. Alshiddi, Amjad Aljinbaz

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