Obesity and Overweight Conditions in Children and Adolescents (6–18 Years) and Their Impact on Craniofacial Morphology: A Systematic Review by Alessio Verdecchia, Carlota Suárez-Fernández, Ivan Menéndez Diaz, Veronica García Sanz, Enrico Spinas, Teresa Cobo

“…Orthodontic diagnostics should integrate metabolic and hormonal considerations to optimize treatment outcomes. …”
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Deep learning for vision screening in resource-limited settings: development of multi-branch CNN for refractive error detection based on smartphone image by Muhammad Syauqie, Muhammad Syauqie, Harry Patria, Sutanto Priyo Hastono, Kemal Nazaruddin Siregar, Nila Djuwita Farieda Moeloek

“…Its multi-scale feature extraction pathways were pivotal in effectively addressing overlapping red reflex patterns and subtle variations between classes.ConclusionThis study establishes the feasibility of smartphone-based photorefractive assessment integrated with artificial intelligence for scalable and cost-effective vision screening. …”
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Rice Variety Identification Based on Transfer Learning Architecture Using DENS-INCEP by Wahyudi Agustiono, Kurniawan Eka Permana, Caroline Chan, Deshinta Arrova Dewi, Moch. Miftachur Rifqi Al Husain

“…Environmental factors such as soil type and climate further influence these variations, making precise identification essential for improving productivity and reducing waste. …”
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Ethanol Administration in Mice Leads to Sex-Specific Changes in the Acetylation of α-Tubulin in the Cerebellum by Abosede Elesinnla, Rehana Khatoon, Nicholas Kleinert, Junfang Wu, Jaylyn Waddell, Tibor Kristian

“…Methods: Adult, 3-month-old male and female C57BL/6 mice were administered 20% ethanol intraperitoneally. …”
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Efficient Urban Tree Species Classification via Multirepresentation Fusion of Mobile Laser Scanning Data by Yinchi Ma, Peng Luan, Yujie Zhang, Bo Liu, Lijie Zhang

“…However, MLS-based classification faces challenges, such as intricate canopy structures, incomplete point clouds from urban occlusions, and intraspecies variations. This study presents tree morphology multirepresentation fusion network, integrating 3-D point cloud data with 2-D projections for enhanced tree species classification. …”
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Molecular mechanisms underlying oesophageal cancer development triggered by chronic alcohol consumption by Huai Yi Chen, Chia Rou Por, Yong Kai Hong, Eason Qi Zheng Kong, Vetriselvan Subramaniyan

“…Biomarkers, such as miRNA and metabolite markers, offer non‐invasive methods for early detection, while advanced endoscopic techniques provide better diagnostic accuracy. …”
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Breeding for resistance to maize streak virus: challenges, progress and future directions: a review by Malven Mushayi, Malven Mushayi, Hussein Shimelis, John Derera, John Derera, Seltene Abady Tesfamariam

“…Finally, the review highlights the conventional and modern breeding methods, innovations and prospects for MSV resistance breeding. …”
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Development and validation of a nomogram to predict recurrence in epithelial ovarian cancer using complete blood count and lipid profiles by Xi Tang, Jingke He, Qin Huang, Yi Chen, Ke Chen, Jing Liu, Yingyu Tian, Hui Wang

“…Grade, International Federation of Gynecology and Obstetrics (FIGO) stage, platelet-to-lymphocyte ratio, red blood cell distribution width-coefficient of variation, triglycerides, and human epididymal protein 4 were identified as independent prognostic factors. …”
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Dual-stream detection and segmentation framework for vision based unmanned ground vehicle pothole perception on unstructured roads by Chenyuan He, He Yang, Zhouyu Zhang, Hai Wang, Yingfeng Cai, Long Chen, Can Zhong, Yiqun Zhang

“…Specifically, the detection stream adopts an enhanced YOLOv10+ network equipped with a frequency-aware fusion module (FreqFusion) in the neck to improve semantic–spatial alignment and robustness to texture variation. The segmentation stream introduces GAL-DeepLabv3+plus, which integrates a Dense Atrous Spatial Pyramid Pooling (DenseASPP) module and a Graph Attention Layer (GAL) into the standard DeepLabv3+ architecture, thereby enhancing contextual reasoning and boundary refinement. …”
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The impact of diet on the inflammatory bowel disease course – a literature review by Agnieszka Nowotarska, Gustaw Błaszczyński, Paweł Nojek, Wiktoria Pawlik, Mariusz Zimonczyk, Monika Zawół, Karolina Jaglarz, Maciej Kuca

“…This review explores the role of diet in managing IBD, focusing on dietary strategies during both active disease and remission. Methods. A literature review was conducted using PubMed and Google Scholar with search terms like "inflammatory bowel disease", "Crohn’s disease", "ulcerative colitis", "diet", "IBD treatment", "anti-inflammatory food" and related variations. …”
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TCI-Net: Structural Feature Enhancement and Multi-Level Constrained Network for Reliable Thin Crack Identification on Concrete Surfaces by Shiming Li, Fengtao Yan, Zhijie Li, Qingfeng Hu, Shiqian Xu, Shilian Liu

“…This method builds on a pre-trained multi-scale semantic feature encoding network, integrating various crack edge structure information extraction operators, and a lightweight crack spatial detail feature extraction module is constructed. …”
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Context makes a difference: a qualitative study exploring how to implement a multifactorial falls prevention intervention in the community by Sara Vandervelde, Bernadette Dierckx de Casterlé, Ellen Vlaeyen, Johan Flamaing, Sien Valy, Goedele Belaen, Koen Milisen

“…The context is critical to understand variation in implementation and clinical outcomes. …”
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Development of an Ion‐Sensitive Field‐Effect Transistor Device for High‐Performance Diagnostic and Clinical Biomedical Applications by M. Duraisamy, M. Thangavel, S. Lalitha, K. Jayaram, S. Kumarganesh, K. Martin Sagayam, Binay Kumar Pandey, Digvijay Pandey, Suresh Kumar Sahani

“…By meticulously selecting materials, configuring sensors, and integrating specialized readout circuitry, the device exhibits exceptional sensitivity and specificity in detecting target ions pertinent to various biomedical assays. …”
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Influence of Host and Landscape‐Associated Factors in the Infection and Transmission of Pathogens: The Case of Directly Transmitted Virus in Mammals by María del Carmen Villalobos‐Segura, Oscar Rico‐Chávez, Gerardo Suzán, Andrea Chaves

“…However, studies show biases toward certain locations, hosts and detected pathogens, with regional variations in similar host–virus associations. Methods Using a systematic review, in two electronic repositories for articles published until December 2022, we analysed the available information on host‐ and landscape‐associated factors influencing the infection and transmission of directly transmitted viruses in mammals. …”
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Class-Discrepancy Dynamic Weighting for Cross-Domain Few-Shot Hyperspectral Image Classification by Chen Ding, Jiahao Yue, Sirui Zheng, Yizhuo Dong, Wenqiang Hua, Xueling Chen, Yu Xie, Song Yan, Wei Wei, Lei Zhang

“…However, most domain adaptation methods rely on similarity metrics to establish cross-domain class matching, making it difficult to simultaneously account for intra-class sample size variations and inherent inter-class differences. …”
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Oceanographic and trophodynamic underpinnings of anchovy success in the northern California Current by Kelsey Swieca, Kelsey Swieca, Su Sponaugle, Su Sponaugle, Moritz S. Schmid, Jami Ivory, Robert K. Cowen

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Regional insights into the relationship between metabolic associated steatotic liver disease and chronic kidney disease: a socioeconomic perspective on disease correlation by Jiang Bai, Lijuan Zhang, Mingyan Zhang, Yifan Hao, Zhen Yi, Yun Zhou

“…Methods This analysis integrates MASLD and country-level CKD data from the Global Burden of Disease study 2021. …”
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NeuroFuzzXAI: A Hybrid Artificial Intelligence Framework for Epileptic Seizure Detection by Flavia COSTI, Emanuel COVACI, Ovidiu ROMAN, Darian ONCHIS

“…The deep learning component alone achieved a high classification accuracy, but integrating fuzzy logic refined decision boundaries and enhanced interpretability. …”
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Hyperspectral Imaging for Non-Destructive Moisture Prediction in Oat Seeds by Peng Zhang, Jiangping Liu

“…To enable efficient and non-destructive prediction of this key quality parameter, this study presents a modeling framework integrating hyperspectral imaging (HSI) technology with a dual-optimization machine learning strategy. …”
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Exploring the bacterial communities in date palm roots in saline versus non-saline environment by Shafeeq Rahman, Manzoor Ahmad, Mughair Abdul Aziz, Taif Ibrahim Alrayssi, Asma Saleh Mohammad, Reem Alothman, Khaled Masmoudi

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