Analysis of the trajectory of cognitive function changes and influencing factors in maintenance hemodialysis patients: a prospective longitudinal study by Wenbin Xu, Xiaolian Long, Yuhe Xiang, Aiyin Yu, Ting Luo, Yuhang Chen, Yan Chen, Qian Yang

“…Objectives To explore the trajectory of cognitive function changes and influencing factors in maintenance hemodialysis (MHD) patients.Methods A convenience sampling method was used to select MHD patients from a tertiary hospital in Chengdu from August 2023 to April 2024. …”
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Acoustic Sediment Classification Using High-Frequency (400 kHz) Multibeam Data in Pari Water of Seribu Island, Indonesia by Dadang Handoko, Henry Munandar Manik, Totok Hestirianoto, Karlisa Priandana, Rozaimi Che Hasan

“…The Angular Range Analysis (ARA) method was applied to analyze backscatter intensity variations across different incidence angles, to enhance the accuracy of sediment classification in this shallow marine environment. …”
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RFHP-CD: A Prompt-Driven Fine-Tuning Framework of Remote Sensing Foundation Model for Building and Cropland Change Detection by Guofang Wang, Yi Ma, Fangrong Zhou, Yifan Wang, Yijun Yan, Hao Geng

“…Ablation studies and t-SNE visualizations further verify the effectiveness of our modules in enhancing model discriminability and preserving feature separability. …”
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MINIMALLY INVASIVE TECHNOLOGIES OF TREATMENT OF NON-VARICOSE ESOPHAGOINTESTINAL GASTRIC BLEEDING by К. G. Kubachev, Е. U. Kachesov, О. A. Petropavlovskaya, O. S. Danilin, D. A. Tvorogov

“…The enhancement of direct results of treatment in patients with a bleeding gastro-duodenal ulcer and the Mallory–Weise syndrome using endoscopic and endovascular methods of hemostasis.MATERIAL AND METHODS. In this paper, the treatment results of the 253 patients with Mallory–Weise syndrome and the results of the 1063 patients with a bleeding gastro-duodenal ulcer are analyzed.RESULTS. …”
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Evaluation of the Effects of Anesthetics and Surgery on Sleep Quality in Patients Undergoing Posterior Spinal Instrumentation Surgery: A Prospective Randomised Clinical Trial by Selcan Akesen, Gökay Eken, Yücel Bilgin, Saltuk Buğra Güler, Elifgül Ulutaş

“…The patients were divided into two groups randomly-those with sevoflurane-remifentanil anesthesia and those with total intravenous anesthesia-using the closed envelope method. Patients were evaluated before and after surgery for sleep quality using the PIRS-20 one month before surgery and on the 7th day postoperatively, for pain using the Visual Analog Scale (VAS) recorded one night before surgery and the first hour postoperatively, and for anxiety using the State-Trait Anxiety Inventory (STAI) recorded one night before surgery and on the 7th day postoperatively. …”
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PPG-Based Accurate Insomnia Detection System Using Convolutional Neural Networks With Self-Attention Mechanism and Gated Recurrent Units by Hardik Telangore, Heneel Makwana, Prithviraj Verma, Manish Sharma, Hasan S. Mir, U. Rajendra Acharya

“…Importantly, we further explored model explainability using Grad-CAM, providing visual insights into the learned model’s decision-making from PPG signals. …”
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Real-Time Liver Lesion Segmentation in Ultrasound Imaging using Deep Learning by Marinela-Cristiana URHUŢ, Larisa Daniela SĂNDULESCU, Costin Teodor STREBA, Mădălin MĂMULEANU, Adriana CIOCÂLTEU, Sergiu Marian CAZACU, Suzana DĂNOIU

“… Ultrasound (US) imaging is a widely used, non-invasive method for detecting liver tumors and assessing parenchymal changes. …”
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CSA-Net: Complex Scenarios Adaptive Network for Building Extraction for Remote Sensing Images by Dongjie Yang, Xianjun Gao, Yuanwei Yang, Minghan Jiang, Kangliang Guo, Bo Liu, Shaohua Li, Shengyan Yu

“…The visual comparison results demonstrate that our method can enhance the accuracy of building extraction in complex scenes. …”
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A Novel Spectral-Spatial Attention Network for Zero-Shot Pansharpening by Hailiang Lu, Mercedes E. Paoletti, Juan M. Haut, Sergio Moreno-Alvarez, Guangsheng Chen, Weipeng Jing

“…Compared to some state-of-the-art traditional and DL-based methods, <monospace>ZSPNet</monospace> demonstrates superior performance in both quantitative assessments and visual results.…”
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Minimally Invasive Cosmetic Restoration of Teeth Associated with Open Gingival Embrasures. Descriptive Case Series by Álvaro Ferrando Cascales, Rubén Agustín Panadero, José Amengual Lorenzo, Salvatore Sauro, Antonio Mendoza Rodríguez, Raúl Ferrando Cascales, Ronaldo Hirata, David Clark

“…The aim of this study is to evaluate the performance of the restorations and soft tissues at 2 years using direct composite resin with injection molding technique to solve open gingival embrasures, also known as black triangles.Materials and Method An observational study of a case series was conducted for the treatment of black triangles. …”
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A cost-effective image-based model without constraint for weight estimation of poultries using deep learning by Zhi Qiao, Jianhui Liu, Fangxi Yang, Jinping Hao, Zhuocheng Hou, Hui Li, Feng Zhu

“…The results demonstrated that the mean absolute error of the method was 0.041 kg, representing an 18 % improvement in accuracy compared to conventional weighing approaches. …”
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Multi‐Annual Inventorying of Retrogressive Thaw Slumps Using Domain Adaptation by Yiling Lin, Xie Hu, Haoyu Lu, Fujun Niu, Gengnian Liu, Lingcao Huang, Shanghang Zhang, Jifu Liu, Yunhuai Liu

“…We still lack the knowledge about the geographic locations of RTSs and their dynamically changing spatial margins. However, visual interpretation is labor‐intensive while the present‐day deep learning methods become ineffective when the model trained in one year is directly transferred to another. …”
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Class and Data-Incremental Learning Framework for Baggage Threat Segmentation via Knowledge Distillation by Ammara Nasim, Saad Mazhar Khan, Anum Abdul Salam, Arslan Shaukat, Taimur Hassan, Adeel M. Syed, Muhammad Usman Akram

“…Through extensive experiments, we demonstrate that our method outperforms state-of-the-art incremental learning techniques, achieving superior segmentation accuracy and knowledge retention. …”
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A pathology-attention multi-instance learning framework for multimodal classification of colorectal lesions by Fanglei Fu, Xuemei Zhang, Zhaoxuan Wang, Luxi Xie, Mingxi Fu, Jing Peng, Jianfeng Wu, Zhe Wang, Tian Guan, Yonghong He, Jin-Shun Lin, Lianghui Zhu, Wenbin Dai

“…Although deep learning has shown promise in classifying whole slide images (WSIs) in digital pathology, existing weakly supervised methods struggle to fully model the multimodal diagnostic process, which involves both visual feature analysis and pathological knowledge. …”
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Development and Validation of an RPA Assay for Detecting Xanthomonas citri subsp. citri A, A*, and Aw and X. fuscans subsp. aurantifolii B and C by Raquel S. Hill, Archana Pal, Megan M. Dewdney, Liliana Cano, Carrie Lapaire Harmon

“…Current in-field screening methods rely on visual symptom identification and serological tools such as Agdia's X. axonopodis subsp. citri (Xac) ImmunoStrips (Elkhart, IN, U.S.A.). …”
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YOLOv8-RBean: Runner Bean Leaf Disease Detection Model Based on YOLOv8 by Hongbing Chen, Haoting Zhai, Jinghuan Hu, Hongrui Chen, Changji Wen, Yizhe Feng, Kun Wang, Zhipeng Li, Guangyao Wang

“…Despite the continuous advancement of disease detection technologies, existing legume disease detection models still face significant challenges in identifying small-scale, irregular, and visually insignificant disease types, limiting their practical application. …”
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Application of a Novel Formulation of 1-Aminocyclopropane-1-carboxylic Acid (ACC) to Increase the Anthocyanins Concentration in Table Grape Berries by Aline Cristina de Aguiar, Danielle Mieko Sakai, Bianca Liriel Martins Barbosa, Stefanie do Prado da Silva, Fábio Yamashita, Sergio Ruffo Roberto

“…The concentration of total anthocyanins, berry color index, physicochemical characteristics, and sensory–visual analysis of color coverage of the bunches were evaluated weekly, while berry firmness was appraised at harvest. …”
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Graph theory analysis reveals functional brain network alterations in HIV-associated asymptomatic neurocognitive impairment in virally suppressed homosexual males by Xire Aili, Shuai Han, Juming Ma, Jiaojiao Liu, Wei Wang, Chuanke Hou, Xingyuan Jiang, Haixia Luo, Fan Xu, Ruili Li, Hongjun Li

“…The functional network was established through the graph theory method and Automated Anatomic Labeling (AAL) 90 atlas, which provides a cerebrum parcellation framework. …”
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Analyzing Racial Differences in Imaging Joint Replacement Registries Using Generative Artificial Intelligence: Advancing Orthopaedic Data Equity by Bardia Khosravi, MD, MPH, MHPE, Pouria Rouzrokh, MD, MPH, MHPE, Bradley J. Erickson, MD, PhD, Hillary W. Garner, MD, Doris E. Wenger, MD, Michael J. Taunton, MD, Cody C. Wyles, MD

“…Conclusions: This study demonstrates the potential of generative models for understanding disparities in medical imaging data sets. By visualizing race-based differences, this method aids in identifying bias in downstream tasks, fostering the development of fairer healthcare practices.…”
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Pain, Physical Function, Radiographic Features, and Quality of Life in Knee Osteoarthritis Agricultural Workers Living in Rural Population by Gordana Nikolic, Biserka Nedeljkovic, Goran Trajkovic, Dragisa Rasic, Zlatica Mirkovic, Slavica Pajovic, Rade Grbic, Sandra Sipetic, Isidora Vujcic

“…One hundred patients with confirmed (American College of Rheumatology criteria) knee osteoarthritis completed the EQ-5D and Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) questionnaires, rated pain on a visual analogue scale (VAS), and underwent knee radiographic examinations. …”
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