Graph-Based Immune Checkpoint Inhibitor Response Prediction Model for Metastatic Renal Cell Carcinoma Patients by Sandra Alonso, Laura Hernandez-Lorenzo, Ignacio Duran, Cristina Rodriguez-Antona, Jesus Garcia-Donas, Jose L. Ayala

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Model Selection Methods for Model-Bridge Simulation Calibration by Bojan Batalo, Lincon S. Souza, Keisuke Yamazaki

“…Computer simulations are ubiquitous in many scientific communities analyzing complex phenomena, such as physics, material science, medicine, and others. …”
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D-YOLO: A Lightweight Model for Strawberry Health Detection by Enhui Wu, Ruijun Ma, Daming Dong, Xiande Zhao

“…The framework’s balanced performance and computational efficiency surpass conventional models including Faster R-CNN, RetinaNet, YOLOv5s, YOLOv6s, and YOLOv8s in comparative trials. …”
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Real-Time Seafloor Segmentation and Mapping by M. Grimaldi, M. Grimaldi, N. Alkaabi, N. Alkaabi, F. Ruscio, F. Ruscio, S. Realpe Rua, R. Garcia, N. Gracias

“…This paper introduces a framework that combines machine learning and computer vision techniques to enable an autonomous underwater vehicle (AUV) to inspect the boundaries of Posidonia oceanica meadows autonomously. …”
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Comparative analysis of international melanoma guidelines by Ahmad Idrissi-Yaghir, Henning Schäfer, Hendrik Damm, Georg C. Lodde, Elisabeth Livingstone, Dirk Schadendorf, Christoph M. Friedrich

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Comparison of Anatomical Maxillary Sinus Implant and Polydioxanone Sheets in Treatment of Orbital Floor Blowout Fractures: A Retrospective Cohort Study by Benjamin Walch, Alexander Gaggl, Gian Battista Bottini, Johannes Hachleitner, Florian Huber, Hannes Römhild, Martin Geroldinger, Maximilian Götzinger

“…Defect size, location, and the volume of the herniated tissue were measured from conventional computer tomography (CT) or cone beam computer tomography (CBCT) scans. …”
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CFD simulation advances in urban aerodynamics: Accuracy, validation, and high-rise building applications by Abdellah Idrissi, Hicham El Mghari, Rachid El Amraoui

“…The RNG k-ε turbulence model with second-order discretization delivered superior accuracy, yielding a mean velocity RMSE of 0.126 and R² = 0.972. Comparative evaluations of AIJ and COST guidelines underscored the impact of boundary conditions, while turbulence model assessments revealed RNG k-ε advantages over SST k-ω and URANS in accuracy and computational efficiency. …”
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A Comprehensive Review of Multiple Physical and Data-Driven Model Fusion Methods for Accurate Lithium-Ion Battery Inner State Factor Estimation by Junjie Tao, Shunli Wang, Wen Cao, Carlos Fernandez, Frede Blaabjerg

“…With the advancement of hardware computational capabilities, data-driven algorithms are increasingly applied in battery management, and multi-model fusion approaches have emerged as a research hotspot. …”
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ISCAZIM: Integrated statistical correlation analysis for zero-inflated microbiome data by Zhe Fan, Jiali Lv, Shuai Zhang, Bingbing Gu, Cheng Wang, Tao Zhang

“…The objectives of this study are to evaluate the strengths and weaknesses of existing statistical methods and to develop a computational framework tailored to the unique characteristics of microbiome data. …”
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NRNH-AR: A Small Robotic Agent Using Tri-Fold Learning for Navigation and Obstacle Avoidance by Carlos Vasquez-Jalpa, Mariko Nakano, Martin Velasco-Villa, Osvaldo Lopez-Garcia

“…The proposed algorithm was evaluated in four critical aspects: computational cost, learning stability, required memory size, and operation speed. …”
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A multi-model approach identifies ALW-II-41-27 as a promising therapy for osteoarthritis-associated inflammation and endochondral ossification by Mauricio N. Ferrao Blanco, Raphaelle Lesage, Nicole Kops, Niamh Fahy, Fjodor T. Bekedam, Athina Chavli, Yvonne M. Bastiaansen-Jenniskens, Liesbet Geris, Mark G. Chambers, Andrew A. Pitsillides, Roberto Narcisi, Gerjo J.V.M. van Osch

“…Collectively, this study demonstrates a novel drug discovery pipeline that integrates computational, experimental, and animal models, paving the way for the development of disease-modifying treatments for osteoarthritis.…”
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Patch-Based Oil Painting Forgery Detection Based on Brushstroke Analysis Using Generative Adversarial Networks and Depth Visualization by Elhamsadat Azimi, Amirsaman Ashtari, Jaehong Ahn

“…Two methods including forgery scores computation using frequency analysis and trained discriminator models are proposed to identify counterfeiting. …”
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A strategy for cost-effective large language model use at health system-scale by Eyal Klang, Donald Apakama, Ethan E. Abbott, Akhil Vaid, Joshua Lampert, Ankit Sakhuja, Robert Freeman, Alexander W. Charney, David Reich, Monica Kraft, Girish N. Nadkarni, Benjamin S. Glicksberg

“…We evaluated how concatenating queries with multiple clinical notes and tasks simultaneously affects model performance under increasing computational loads. …”
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A Novel Involution-Based Lightweight Network for Fabric Defect Detection by Zhenxia Ke, Lingjie Yu, Chao Zhi, Tao Xue, Yuming Zhang

“…The involution has two advantages over convolution: first, it can capture a larger range of receptive fields in the spatial dimension; then, parameters are shared in the channel dimension to reduce information redundancy, thus reducing parameters and computation. The detection performance is evaluated by Params, floating-point operations per second (FLOPs), and average precision (AP) in the collected dataset containing 6308 defective fabric images. …”
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LRU-Net: lightweight and multiscale feature extraction for localization of ACL tears region in MRI images by Xiaojun Si, Liang Yan, Cui Shi, Yang Xu

“…With a reduced computational footprint, LRU-Net provides a practical and highly accurate solution for the clinical analysis of ACL tears.…”
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Laparoscopic surgery for two patients with strangulated transomental hernias by Yuka Fujimoto, Yuki Ohya, Shintaro Hayashida, Masayoshi Iizaka, Yuto Maeda, Sayahito Kumamoto, Akira Tsuji, Hidekatsu Shibata, Kunitaka Kuramoto, Hironori Hayashi, Osamu Nakahara, Shinjiro Tomiyasu, Yukihiro Inomata

“…He had no history of laparotomy or abdominal injury. Computed tomography suggested small bowel obstruction and possible intestinal strangulation. …”
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A Lightweight Network with Domain Adaptation for Motor Imagery Recognition by Xinmin Ding, Zenghui Zhang, Kun Wang, Xiaolin Xiao, Minpeng Xu

“…Brain–computer interfaces (BCI) are an effective tool for recognizing motor imagery and have been widely applied in the motor control and assistive operation domains. …”
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Lower Limb Motion Recognition Based on Surface Electromyography Decoding Using S-Transform Energy Concentration by Baoyu Li, Guanghua Xu, Jinju Pei, Dan Luo, Hui Li, Chenghang Du, Kai Zhang, Sicong Zhang

“…Lower limb motion recognition using surface electromyography (EMG) enhances human-computer interaction for intelligent prostheses. This study proposes a surface electromyography (EMG)-based scheme for lower limb motion recognition to enhance human-computer interaction in intelligent prostheses. …”
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A method for modifying carbonaceous materials with manganese carbonate to module the formation of singlet oxygen via activation with Peroxymonosulfate by Camila Mosquera-Olano, Carolina Quimbaya, Santiago López-Pérez, Elkin Castellón-Castrillón, Sandra Navarro, John Rojas, Jorge Acosta, Ricardo A. Torres-Palma, Yenny P. Ávila-Torres

“…Acetaminophen, sulphamethoxazole, and losartan were employed as the pharmaceutical targets, evaluating the effects of ROS (reactive oxygen species) in the acetaminophen degradation processes. …”
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How necessary it is to perform a ventilation scan in patients with a history of COVID-19 to rule out pulmonary thromboembolism? by Farivash Karamian, Roham Nikkhah, Mohammad Ghorbani, Elham Rahmanipour, Mohammad Mohammadi, Emran Askari, Ramin Sadeghi

“…They underwent ventilation/perfusion (V/Q) scintigraphy using single-photon emission computed tomography/computed tomography (SPECT/CT) and CT scans with or without contrast. …”
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