Efficacy and cost-effectiveness analysis of 10-day versus 14-day eradication of Helicobacter pylori infection with vonoprazan amoxicillin: a prospective, multicenter, randomized co... by Yunfan Dong, Zhaotao Duan, Min Liu, Yanbing Ding, Guangxia Chen, Ruifang Wang, Xiaodan Xu, Lixia Ding, Qiang Zhan, Chengyu Pan, Hui Li, Faming Yang, Xiaorong Dai, Xiangsu Li, Xudong Wu, Peng Peng, Jianrong Wang, Kewei Hu, Duanmin Hu, Qiong Jie, Zhenyu Zhang

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Understanding the Needs and Wishes of Older Adults in Interprofessional Treatment for Malnutrition and Sarcopenia: A Grounded Theory Study by Boxum SD, Van Exter SH, Reinders JJ, Drenth H, Van den Berg MG, Tieland M, Geluk-Bleumink A, Spoorenberg SL, Finnema E, Van der Wees PJ, Koenders N, Jager-Wittenaar H

“…Managing these conditions requires integrating nutritional and exercise interventions delivered by professionals from diverse backgrounds. …”
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Understanding Patient Perspectives in Treatment and Management of Care in Asthma by Hicks A, George MJ, Benjamin M, Lacoste E, Orr HC, Melendez A, Gardner DD

“…Sanofi and AAN held online meetings for patients and researchers to discuss how asthma is treated, what is missing in the treatment landscape, and what is most important to patients. …”
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Enhanced Detection Performance of Acute Vertebral Compression Fractures Using a Hybrid Deep Learning and Traditional Quantitative Measurement Approach: Beyond the Limitations of Ge... by Jemyoung Lee, Minbeom Kim, Heejun Park, Zepa Yang, Ok Hee Woo, Woo Young Kang, Jong Hyo Kim

“…For instance, combining HLR-negative cases with TSVD_SD increased sensitivity to 87.84%, reducing missed fractures, while combining HLR-positive cases with EEVD achieved the highest specificity (99.77%), minimizing false positives. …”
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Multi-Task Trajectory Prediction Using a Vehicle-Lane Disentangled Conditional Variational Autoencoder by Haoyang Chen, Na Li, Hangguan Shan, Eryun Liu, Zhiyu Xiang

“…Trajectory prediction under multimodal information is critical for autonomous driving, necessitating the integration of dynamic vehicle states and static high-definition (HD) maps to model complex agent–scene interactions effectively. …”
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Spectro-Image Analysis with Vision Graph Neural Networks and Contrastive Learning for Parkinson’s Disease Detection by Nuwan Madusanka, Hadi Sedigh Malekroodi, H. M. K. K. M. B. Herath, Chaminda Hewage, Myunggi Yi, Byeong-Il Lee

“…Comprehensive experimental validation on multi-institutional datasets from Italy, Colombia, and Spain demonstrates that the proposed ViG-contrastive framework achieves superior classification performance, with the ViG-M-GELU architecture achieving 91.78% test accuracy. The integration of graph neural networks with contrastive learning enables effective learning from limited labeled data while capturing complex spectro-temporal relationships that traditional Convolution Neural Network (CNN) approaches miss, representing a promising direction for developing more accurate and clinically viable speech-based diagnostic tools for PD.…”
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HPRT-DETR: A High-Precision Real-Time Object Detection Algorithm for Intelligent Driving Vehicles by Xiaona Song, Bin Fan, Haichao Liu, Lijun Wang, Jinxing Niu

“…This integration expands the model’s receptive field and enhances feature extraction without adding learnable parameters or complex computations, effectively minimizing missed detections of small targets. …”
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Vancomycin dosing in neonates: enhancing outcomes using population pharmacokinetics and simulation by Sílvia M. Illamola, Jiraganya (JJ) Bhongsatiern, Jiraganya (JJ) Bhongsatiern, Angela K. Birnbaum, Angela K. Birnbaum, Shaun S. Kumar, Joshua D. Courter, David B. Haslam, Karel Allegaert, Karel Allegaert, Karel Allegaert, David M. Reith, Pankaj B. Desai, Catherine M. Sherwin, Catherine M. Sherwin, Catherine M. Sherwin, Catherine M. Sherwin, Catherine M. Sherwin

“…Population pharmacokinetics (PopPK) models allow optimized dosing by incorporating neonatal-specific factors such as postmenstrual age (PMA), gestational age (GA), serum creatinine (SCr), and weight.ObjectiveTo develop optimized vancomycin dosing regimens for neonates that achieve an 80% probability of target attainment (PTA) for an AUC24/MIC ≥ 400 mg h/L across diverse clinical cohorts and simulated neonatal populations.MethodsReal-world data from three international centers (Belgium, New Zealand, USA), including 610 individuals and 2399 vancomycin concentrations, were used to externally evaluate a previously published PopPK model (NONMEM®). Missing data, including body weight, were imputed using Amelia II version 1.7.3 for R, while Zelig for R integrated multiple imputed datasets. …”
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Pre-Service Teachers’ Perceptions of Their Digital Competencies and Ways to Acquire Those through Their Studies and Self-Organized Learning by Katrin Göltl, Roland Ambros, Dominik Dolezal, Renate Motschnig

“…However, several studies have shown that there is still a lack of integration of digital competencies in teacher training programs. …”
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RST-YOLOv8: An Improved Chip Surface Defect Detection Model Based on YOLOv8 by Wenjie Tang, Yangjun Deng, Xu Luo

“…This study introduces the C2f_RVB module, which incorporates RepViTBlock technology. This integration effectively optimizes feature representation capabilities while significantly reducing the model’s parameter count. …”
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PRACTICAL PRINCIPLES OF PARTICIPLE USAGE AND RENDERING INTO UKRAINIAN IN THE PROCESS OF LITERARY TEXTS TRANSLATION by Svitlana A. Ostapenko

“…In his novel “Ivanhoe”, Walter Scott did not miss any possible form of the participle in the passive or active voices, which perform various functions in the sentence. …”
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AlgAlert: A two-level approach for algae bloom prediction using deep learning by Areej Alsini, Amina Saeed, Dawood Amin

“…Classification results revealed nearly perfect F1-scores, indicating that the model accurately identified bloom events with few missed or false alarms (0.99 for no-bloom and 0.98 for bloom). …”
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University Students' Perspectives on Synchronous, Asynchronous, and Combined Virtual Learning Environments: Lessons Learned from the COVID-19 Pandemic by Rasoul Bakhtiari, Zahra Habibzadeh

“…This could be attributed to the integration of traditional classroom learning with reflective techniques and the complementary use of both synchronous and asynchronous communication methods. …”
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A complex roadside object detection model based on multi-scale feature pyramid network by Zhihao Zheng, Jianguang Zhao, Jingjing Fan, Ruirui Bai, Jiana Zhao, Jianan Liu

“…Abstract In response to the challenges of false positives and misses caused by dense occlusions and small targets in complex road environments, this paper proposes an enhanced YOLOv8-based network named YOLO-RC for advanced road traffic object detection. …”
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Recognizing American Sign Language gestures efficiently and accurately using a hybrid transformer model by Mohammed Aly, Islam S. Fathi

“…While CNNs excel at capturing local details, they often miss the bigger picture. Vision Transformers, on the other hand, are better at modeling global context but usually require significantly more computational resources, limiting their use in real-time systems. …”
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TCBGY net for enhanced wear particle detection in ferrography using self attention and multi scale fusion by Lei He, Haijun Wei, Cunxun Sun

“…This integration enhances the global feature extraction capability of the backbone network and improves its ability to detect small target wear particles. …”
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A Deep Learning–Enabled Workflow to Estimate Real-World Progression-Free Survival in Patients With Metastatic Breast Cancer: Study Using Deidentified Electronic Health Records by Gowtham Varma, Rohit Kumar Yenukoti, Praveen Kumar M, Bandlamudi Sai Ashrit, K Purushotham, C Subash, Sunil Kumar Ravi, Verghese Kurien, Avinash Aman, Mithun Manoharan, Shashank Jaiswal, Akash Anand, Rakesh Barve, Viswanathan Thiagarajan, Patrick Lenehan, Scott A Soefje, Venky Soundararajan

“…Sensitivity analysis revealed stable rwPFS estimates across varying levels of missing source data and event definitions. Peak reduction in PHQ-8 scores during the study period highlighted significant associations between patient-reported outcomes and disease progression. …”
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Quality-checked species records from the German citizen science platform ArtenFinder by Thore Engel, Yannick Brenz, Hendrik Geyer, Jörg Holetschek, Aletta Bonn, Cathrina Balthasar, Susanne Bengsch, Romain Clément, Christian Dietzen, Chris Dlouhy, Jens Esser, Frederic Griesbaum, Matthias Haag, Karin-Simone Hauth, René Jarling, Stefan Kahlert, Norbert Kenntner, Jochen Krebühl, Julia Kruse, Steven Lischke, Robert Lücking, Lars Mayer, Susanne Müller, Thomas Nogatz, Michael Ochse, Sophie Ogan, Katharina von Oheimb, Parm Viktor von Oheimb, Gerrit Öhm, Korbinian Pacher, Manfred Alban Pfeifer, Charlotte Reutter, Oliver Röller, Frederik Rothe, Norbert Scheydt, Oliver Schmitz, Dominik Schmitz, Norman Wagner, Ulrike Willerding, Christoph Willigalla, Svea-Sophie Zimmermann, Martin Friedrichs-Manthey

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Research on Multi-Factor Coastal Waterway Depth Prediction and Application Based on Attention-Enhanced LSTM Model by LING Ganzhan, HAN Yu, WANG Jiawei, JIE Weiwei, TANG Ruikai, HU Jiakai, LIU Xiang, LIANG Guangyue, CAO Lu, LIANG Ming

“…The raw hydrological data is preprocessed to address issues such as missing values, noise, and irregular time intervals, ensuring that it is suitable for time-series modeling. …”
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Application of multigene panel testing for bleeding, thrombotic, and platelet disorders in patients and the general population in China by Yaohua Cai, Wenyi Lin, Jun Deng, Zhipeng Cheng, Yanyi Tao, Hui Lu, Yunqing Xia, Tingting Wu, Liang V. Tang, Yu Hu

“…These findings establish the ExTH gene panel as a powerful tool for comprehensive genetic diagnosis, capable of capturing clinically relevant variants that would be missed by conventional approaches. This study provides new insight into the molecular landscape of BTPDs, and supports the integration of broad gene panel testing into routine clinical workflows to improve diagnostic accuracy, risk stratification, and personalized treatment.…”
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