Endovascular Management of Arterial Injuries Related to Venous Access: A Retrospective Review of 10‑Year Single-Center Experience by Mohammad Arabi, Abdullah Almutairi, Abdulaziz Abdullah Alangari, Mohammad Mari Alamri, Abdulaziz Alharbi, Abdulrahman Alvi, Qazi Shahbaz, Yousof Alzahrani, Omar Bashir, Azzam Khankan, Essam Dulaigan, Refaat Salman, Mohammad Almoaiqel

“…Purpose: Retrospective review of the pattern and management techniques of arterial injuries related to central venous access with long-term outcomes. …”
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Potential profile analysis of financial toxicity and its related factors among lung cancer patients by Xu Zhang, Liwei Zhang, Ziyi Geng, Meimei Shang, Aijun Wang, Xing Zheng, Chao Li, Tingting Zhang, Hailing Yang, Yuanyuan Chen

“…General data questionnaires, FT scale for reported outcomes of cancer patients, Chinese version of the Quality of Life Scale for lung cancer patients, Social Support Rating Scale and simplified version of the Mental Resilience Scale were used. …”
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Taking a look at your speech: identifying diagnostic status and negative symptoms of psychosis using convolutional neural networks by Gleb Melshin, Anthony DiMaggio, Nadia Zeramdini, Michael MacKinley, Lena Palaniyappan, Alban Voppel

“…Modified ResNet-18 convolutional neural networks (CNNs) performed three classification tasks; (1) schizophrenia-spectrum vs healthy controls, within 179 clinically-rated patients, (2) individuals with more severe vs less severe negative symptom burden, and (3) clinically obvious vs subtle blunted affect. …”
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Behavioural insights in the underuse of cardiac resynchronisation therapy in heart failure: a pilot survey on incentive perceptions among referring cardiologists by Joan Costa-i-Font, Georgiana Miler-Raicu, Elena Arbelo, Ruben Casado-Arroyo, Aya Sami, Eric Wei Seong Tee, Joseph Hazel, Laurent Roten, Tobias Reichlin, Haran Burri, Khaled Albouaini, Nikola Kozhuharov

“…A survey was conducted with 51 physicians from six European countries, including electrophysiologists, heart failure specialists, and general cardiologists, recruited through cardiology networks and personal contacts. Participants rated their perceptions of five incentive strategies using a Likert scale (1–5). …”
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Influence of exercise interventions on functional movement screen scores in athletes: a systematic review and meta-analysis by Ali Asghar Maleki, Seyed Hamed Mousavi, Mohamad Ali Biabangard, Hooman Minoonejad

“…Abstract The functional movement screen (FMS) is a widely recognized tool for evaluating movement patterns and identifying potential injury risks in athletes. …”
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Laboratory Analysis of Soil Physicochemical Properties Based on Agricultural Fertilizer Input Requirement Application: A Case of Haramaya University, Ethiopia by Turyasingura, Benson, Chavula, Petros, Mohammed, Yasin, Eliyas, Abdi Alic, Girmac , Tesfasilassie, Sadeso, Kumale, Shentema, Solomon, Abebed, Aschalew, Katel, Shambhu, Timsina, Sandipa

“…Exchangeable calcium ranged 4.99 cmol (+)/kg to 18.34 cmol (+)/kg with a mean of 12.02 cmol (+)/kg which is rated as high. The potassium value of (0.05, 0.82 meq/100gm), 0.06 meq/100gm and (0.13, 0.46 meq/100gm) of soil respectively. …”
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Numerical simulation of crack propagation and AE precursor characteristics in coal failure under confining pressures by Gang Jing, Shuai Wang, Leilei Zhao, Fa Dong, Yi Fan

“…The results demonstrate that peak strength increases with loading rate, particularly under low confining pressures, while higher pressures dampen this sensitivity. …”
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Performance Optimization and Field Validation of Post-Grouting Geopolymer Materials for Pile Foundations: Microstructural Insights and Environmental Durability by Chongchong He, Zhen Xu, Jing Wang, Pan Li, Yangyang Xia, Chao Zhang, Zhenpeng Chen, Wei He

“…The fluidity, setting time, bleeding rate, and mechanical properties of these materials were evaluated to determine the optimal mix proportions for pile foundation grouting. …”
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A Dynamic Spatio-Temporal Deep Learning Model for Lane-Level Traffic Prediction by Bao Li, Quan Yang, Jianjiang Chen, Dongjin Yu, Dongjing Wang, Feng Wan

“…The temporal features are extracted with the gated recurrent unit (GRU). Then, we adaptively fuse spatial and temporal features with the gating mechanism to get the final spatio-temporal features for lane-level traffic prediction. …”
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Integrated Feature-Temporal GAN for Imbalanced Transaction Fraud Detection by Yicen Zheng, Yu Xie, Jiamin Yao

“…IFT-GAN introduces two key innovations: 1) A Feature-Aware Sample Selection (FASS) module that employs Fisher score-based feature ranking and weighted k-means clustering to create a balanced subset enriched with discriminative fraud signatures; and 2) A Temporal Dependency GAN (TD-GAN) architecture employing a novel Time-aware Gated Recurrent Unit (TaGRU) in both the generator and discriminator, explicitly modeling the temporal intervals between transactions through adaptive temporal gating. …”
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Revealing the effect of layer-varying deposition strategy on laser-directed energy deposition bionic gradient NiTi alloy by Zhongxiong Kang, Chaorui Jiang, Mengqi Liu, Zhihui Zhang, Jie Zhao

“…The strategy includes different process parameters (the laser power and scanning speed), the scanning paths (alternative optimised spiral pattern, x-axis rotation pattern, and arc alternative pattern) and interlayer interval time. …”
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Federated-Learning-Based Strategy for Enhancing Orbit Prediction of Satellites by Jiayi Tang, Wenxin Li, Qinchen Zhao, Hongmei Chi

“…The server optimizes the global model through the Federated Averaging algorithm, learning more orbital patterns and enhancing accuracy. Experimental results confirm the method’s effectiveness, with a marked increase in prediction accuracy compared to traditional methods, validating federated learning’s advantage. …”
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Enhanced Wind Energy Forecasting Using an Extended Long Short-Term Memory Model by Zachary Barbre, Gang Li

“…The xLSTM model incorporates two key innovations: exponential gating with memory mixing and a novel matrix memory structure. …”
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Sentiment Analysis and Trend Mapping of Hotel Reviews Using LSTM and GRU by Yerik Afrianto Singgalen

“…This study explores applying Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) models for sentiment analysis and trend mapping of hotel reviews, specifically focusing on customer feedback from Hotel Vila Ombak in Lombok, Indonesia. …”
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Phase Wise Classification of Abnormal Gait in Children With Cerebral Palsy Using Hybrid Neural TEMPODE Deep Learning Techniques by Yelle Kavya, S.Sofana Reka

“…The neurological condition known as Cerebral Palsy which affects motor control, frequently results in abnormal gait patterns that have a major negative influence on mobility and quality of life. …”
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DFANet: A Deep Feature Attention Network for Building Change Detection in Remote Sensing Imagery by Peigeng Lu, Haiyong Ding, Xiang Tian

“…Second, we introduce a GatedConv module to improve the network’s capability for building edge detection. …”
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Evolution Characteristics of Urban Heat Island Circulation for Loess Tableland Valley Towns by Zhuolei Yu, Yi Wang, Jukun Wang, Xiaoxue Wang, Songheng Wu

“…In order to further reveal the characteristics of city-scale closed circulation, the sensitivities of different factors influencing the start time, outflow time, mixing height and heat island intensity are analyzed, and the most significant factors influencing these four parameters are urban heat flux, slope height, slope height, and potential temperature lapse rate, respectively. Finally, the dimensionless mixing height and heat island intensity for the valley town increase by 56.80% and 128.68%, respectively, compared to those for the flat city. …”
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Construction of Hierarchical 2D-3D@3D Zn₃In₂S₆@CdS Photocatalyst for Boosting Degradation of an Azo Dye by Andreas Katsamitros, Nikolaos Karamoschos, Labrini Sygellou, Konstantinos S. Andrikopoulos, Dimitrios Tasis

“…Under visible light irradiation, the Zn₃In₂S₆-enriched heterostructures demonstrated an enhanced azo-dye degradation rate, with the majority of the organic analyte (Orange G) being degraded within 60 min. …”
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A Self‐Organizing Map Spiking Neural Network Based on Tin Oxide Memristive Synapses and Neurons by Yu Wang, Yanzhong Zhang, Yanji Wang, Xinpeng Wang, Hao Zhang, Rongqing Xu, Yi Tong

“…Applying this architecture to an unsupervised learning self‐organizing map memristor SNN achieved an impressive 94% recognition rate on the MNIST dataset. This study elucidates the potential for seamlessly integrating memristors into neuromorphic systems.…”
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Multi-Objective Optimization of Off-Grid E-Bikes Charging Stations Powered by PhotoVoltaics by Fabio Corti, Gabriele Maria Lozito, Davide Astolfi, Salvatore Dello Iacono, Antony Vasile, Marco Pasetti, Alberto Reatti, Alessandra Flammini

“…A Genetic Algorithm is employed to determine the most appropriate rated power of the installed PhotoVoltaic (PV) systems and of the energy storage, by incorporating statistical methods to estimate the daily number of e-bikes requiring charging, hence making the optimization process more reflective of actual usage patterns. …”
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