Image Quality Assessment of Augmented Reality Glasses as Medical Display Devices (HoloLens 2) by Simon König, Simon Siebers, Claus Backhaus

“…HoloLens 2 was assessed for overall image quality, luminance, grayscale consistency, and color uniformity. Five participants rated the TG18-OIQ pattern under ambient lighting conditions of 2.4 and 138.7 lx. …”
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Risk factors and public health interventions associated with adolescent pregnancy prevention among females aged 10–19 years in Kenya: a scoping review protocol by Abdu Mohiddin, Kimbley Asaso Omwodo, Danielle Denwood, Augustine Gitonga

“…The analysis will involve thematic data extraction and charting to highlight patterns in adolescent pregnancy risk factors, intervention outcomes and existing gaps.Ethics and dissemination No ethical approval is needed. …”
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Association between physicians' interaction with pharmaceutical companies and their clinical practices: A systematic review and meta-analysis. by Hneine Brax, Racha Fadlallah, Lina Al-Khaled, Lara A Kahale, Hala Nas, Fadi El-Jardali, Elie A Akl

“…Out of the 19 studies, 15 found a consistent association between interactions promoting a medication, and inappropriately increased prescribing rates, lower prescribing quality, and/or increased prescribing costs. …”
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I-AIR: intention-aware travel itinerary recommendation via multi-signal fusion and spatiotemporal constraints by Xiao Cui, Zhihua Wang, Ping Li, Qiang Xu

“…Additionally, many approaches decouple POI selection from itinerary construction and depend heavily on limited behavioral signals, failing to capture richer feedback such as ratings, dwell times, or click histories. To address these limitations, we propose an intention-aware deep learning framework that integrates diverse user signals into a unified itinerary planning model. …”
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SOH Estimation Method for Lithium-Ion Batteries Using Partial Discharge Curves Based on CGKAN by Shengfeng He, Wenhu Qin, Zhonghua Yun, Chao Wu, Chongbin Sun

“…Next, a SOH estimation framework based on the CGKAN model is developed, where 1-Dimensional-Convolutional Neural Networks (1D-CNN) are used to extract deep features from the original data, Bidirectional Gated Recurrent Unit (BiGRU) captures the bidirectional dependencies of the time series, and Kolmogorov–Arnold Networks (KAN) enhances the modeling of complex nonlinear features through its nonlinear mapping capabilities, thereby improving the accuracy of SOH estimation. …”
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Study of the clinical profile of community-acquired pneumonia: a cross-sectional study in northeast India by Annu Gupta, KG Lynrah, Monaliza Lyngdoh, Iadarilang Tiewsoh, Baphiralyn Wankhar, Debashis Priyadarshan Sahoo, Bhupen Barman, Mohammad Jamil, Gwenette Andrea War

“…Alarmingly, high resistance rates were observed for widely used antibiotics such as ceftriaxone and cefuroxime, while meropenem, amikacin, and ertapenem retained high sensitivity. …”
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AEMS: Adaptive Ensemble GNNs for Multibehavior Stream Recommendation by Ritchie Natuan Caibigan, Punyaphol Horata, Pusadee Seresangtakul

“…The AEMS synergizes long-term preference patterns (derived from historical interactions) with real-time user intents and item attributes (captured through multibehavior signals), integrating them via an adaptive ensemble neural gating mechanism. …”
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Forecasting Sales in Live-Streaming Cross-Border E-Commerce in the UK Using the Temporal Fusion Transformer Model by Qi Zhang, Xue Li, Pengbin Gao

“…Our multimodal approach integrates diverse time series data, including historical sales, key opinion leader (KOL) influence, and seasonal patterns. The Temporal Fusion Transformer (TFT) model demonstrated consistently lower Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), and Mean Squared Error (MSE) across all forecasting horizons compared to other machine learning approaches, including Long Short-Term Memory (LSTM), Convolutional Neural Networks (CNN), and Gated Recurrent Unit(GPU)-accelerated architectures. …”
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A clustering-based federated deep learning approach for enhancing diabetes management with privacy-preserving edge artificial intelligence by Xinyi Yang, Juan Li

“…We develop tailored models that enhance prediction accuracy by clustering patients based on carbohydrate (CHO) intake patterns. Utilizing Simple Recurrent Neural Network (SimpleRNN) and Gated Recurrent Unit (GRU) methods, the study evaluates the performance of local patients who contribute to training the cluster and global (non-cluster) models. …”
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Antibiotic resistance of biofilm-forming bacteria causing urinary tract infections: A systematic review by Abigail Anne Ferrer, Samson Decasa, Juliana Carlidy Elauria, Jalen Rose Esguerra, Earl Adriane Cano, Angela Nole Shayenne Coderos, Denise Alexandra Cruz, Den Marc Exala

“…Furthermore, biofilm formation rates ranged from 36.5% to 100%, with a median prevalence of 75.5%. …”
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Epidemiological, etiological, and serological characteristics of hand, foot, and mouth disease in Guizhou Province, Southwest China, from 2008 to 2023. by Fajin Li, Dan Wang, Fei Su, Suye Zhao, Jun Guo, Fumin Zhang, Xueqin Ran, Jiafu Wang, Shijun Li

“…Guizhou Province has reported higher rates of severe and fatal cases of HFMD. However, comprehensive studies on its epidemiology, etiology, and serological characteristics have remained limited in recent years.…”
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Efficacy of insecticides against wheat thrips Haplothrips tritici Kurd. in winter wheat crops by Iu. Klechkovskyi, V. Klychko, G. Khorohorina

“…To control the number of thrips, the effectiveness of the insecticide Engio 247 SC, CS at four application rates (0.05, 0.1, 0.15 and 0.2 l/ha) and Karate Zeon 050 CS, SC; Inazuma, VG; Match 050 ES, CE; Mospilan, VP; Talstar, 10% CE was studied. …”
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Epidemiologic Characteristics of Chronic Hepatitis B and Coinfections with Hepatitis C Virus or Human Immunodeficiency Virus in South Korea: A Nationwide Claims-Based Study Using t... by Hyunwoo Oh, Won Sohn, Na Ryung Choi, Hyo Young Lee, Yeonjae Kim, Seung Woo Nam, Jae Yoon Jeong

“…Patients with HBV/HCV coinfection were older and had significantly higher rates of hypertension, diabetes, dyslipidemia, and major adverse liver outcomes, including hepatocellular carcinoma and liver transplantation, compared to other groups. …”
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NDL-Net: A Hybrid Deep Learning Framework for Diagnosing Neonatal Respiratory Distress Syndrome From Chest X-Rays by Malik Muhammad Arslan, Xiaodong Yang, Nan Zhao, Lei Guan, Tao Cui, Daniyal Haider

“…The model's low false negative and false positive rates underscore its superior diagnostic capabilities. …”
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Genomic Evolution of White Spot Syndrome Virus in Shrimp: Insights from Transposon Dynamics by Zhouquan Li, Guanghua Huang, Jingyi Zhang, Mingyou Li, Zhizhi Liu, Sihua Peng, Rui Wang, Dong Liu

“…White spot syndrome virus (WSSV) has emerged as a significant threat to global shrimp aquaculture, causing economic losses because of its rapid spread and high mortality rates. This study aims to elucidate the genetic and evolutionary dynamics of WSSV through a comprehensive genome analysis. …”
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Trend analysis and epidemiological forecasting of colorectal Cancer mortality among reproductive-age women in sub-Saharan Africa by Jiefeng Zhao, Daxing Miao, Tao Yang, Jiang Chen, Xiangquan Lai

“…This study aimed to analyze CRC mortality trends, identify key driving factors, and predict future mortality patterns among women of childbearing age in SSA. Methods: We assessed CRC mortality among women of childbearing age across four SSA subregions and 46 countries, calculating age-standardized mortality rates (ASMR) and estimated annual percentage change (EAPC). …”
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Observational study on postoperative JAK inhibitor and corticosteroid therapy following non-cultured epidermal cell suspension transplantation in stable vitiligo patients by Yixuan Zhang, Yingying Xu, Wenjun Cui, Xueli Ding, Yuyang Gu, Xuejun Zhang, Min Li

“…The choice of immunomodulatory strategy may influence repigmentation patterns, especially at different anatomical sites.…”
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Assessment of Emotional Expressions after Full-Face Transplantation by Çağdaş Topçu, Hilmi Uysal, Ömer Özkan, Özlenen Özkan, Övünç Polat, Merve Bedeloğlu, Arzu Akgül, Ela Naz Döğer, Refik Sever, Nur Ebru Barçın, Kadriye Tombak, Ömer Halil Çolak

“…Motor recovery was observed following sensory recovery in all 3 patients; however, the 3 cases had different backgrounds and exhibited different degrees and rates of sensory and motor improvements after transplant. …”
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A Platform for Early Class Dropout Prediction of University Students by Guilherme Antonio Borges, Carolina Filipa Dos Santos Pedro, Julio Cesar Santos Dos Anjos, Andre Rodrigues, Fernando Boavida, Jorge Sa Silva

“…Higher education faces significant challenges, with student dropout rates remaining a critical issue. While much research has focused on course-level dropout, less attention has been given to the early identification of at-risk students within individual courses. …”
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Specialized insectivores drive differences in avian community composition between primary and secondary forest in Central Africa by Eleanor M. Barrie, Eleanor M. Barrie, Billi A. Krochuk, Billi A. Krochuk, Crinan Jarrett, Crinan Jarrett, Crinan Jarrett, Diogo F. Ferreira, Diogo F. Ferreira, Diogo F. Ferreira, Patricia F. Rodrigues, Patricia F. Rodrigues, Patricia F. Rodrigues, Patricia F. Rodrigues, Susana Lin Mufumu, Susana Lin Mufumu, Silvestre Esteban Malanza, Silvestre Esteban Malanza, Agustin Ebana Nsue Akele, Agustin Ebana Nsue Akele, Cayetano Ebana Ebana Alene, Cayetano Ebana Ebana Alene, Kristin E. Brzeski, Kristin E. Brzeski, Jacob. C. Cooper, Jacob. C. Cooper, Jacob. C. Cooper, Jared D. Wolfe, Jared D. Wolfe, Luke L. Powell, Luke L. Powell, Luke L. Powell, Luke L. Powell

“…Notably, few species disappeared entirely in secondary forest (unlike patterns seen in the Neotropics); rather, capture rates of 12 of 30 species (40%) were significantly reduced relative to primary forest. …”
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