A MaxEnt-TRIGRS hybrid model with dynamic safety factor mapping for enhanced debris flow susceptibility assessment in rainfall-triggered terrains by Xinlong Xu, Yue Qiang, Li Li, Siyu Liang, Tao Chen, Wenjun Yang, Xinyi Tan, Xi Wang, He Yang

“…Focusing on seven towns in Beichuan County, China, we integrated thirteen environmental factors, geotechnical parameters, and historical hazard records to build a dual-driven “statistical–physical” evaluation framework. Our methodology consists of three steps: (1) Use TRIGRS to compute rainfall-induced safety factors (FS) and identify unstable zones (FS < 1), which serve as the positive-sample database for MaxEnt; (2) Employ the MaxEnt model—using the TRIGRS-derived positive samples and historical debris-flow factors—to predict the spatial distribution of susceptibility; (3) Integrate both outputs spatially in GIS using dynamic weighting. …”
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Multi-omics reveals the polyethylene terephthalate carcinogenicity: Cancer progression and immune microenvironment by Kangping Yang, Xianhuan Zhou, Kai Wu, Jiaqiang Wu, Chunxia Huang, Liang Yang

“…Our findings not only delineate PET's role in tumorigenesis but also establish a computational-experimental framework for environmental toxicant evaluation. …”
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Validity and reliability of the step test to estimate maximal oxygen consumption in pediatric population by Gerardo Weisstaub, José González, Ignacio Orizola, Juan Borquez, Matías Monsalves-Alvarez, Lydia Lera, Rodrigo Troncoso, Carlos Sepúlveda

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Development and validation of a pragmatic measure of cocreation in research engagement: a study protocol by Bethany M Kwan, Carter Sevick, Cathleen Willging, Bryan J Weiner, Janice Tufte, Brooke Dorsey Holliman, Monica Perez Jolles, Danielle Ostendorf

“…A valid measure for evaluating the quality of the cocreation process can significantly promote inclusive research practices and outcomes.Methods and analysis The measure consists of two components: (1) an iterative group assessment to prioritise cocreation principles and identify specific activities for achieving those principles and (2) a survey assessing individual partner experience. …”
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Incremental Cotton Diseases Detection Based on Aerial Remote Sensing Image and Blockchain Sharding by Jing Nie, Haochen Li, Yang Li, Jingbin Li, Xuewei Chao, Sezai Ercisli

“…In addition, the blockchain is further partitioned and a reputation evaluation mechanism is added to the process of federated learning model aggregation to optimize the whole federated learning process. …”
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Deep Learning Approaches for Morphological Classification of Intestinal Organoids by Giovanni Cicceri, Sebastiano Di Bella, Simone Di Franco, Giorgio Stassi, Matilde Todaro, Salvatore Vitabile

“…The systematic performance evaluation is designed to guide users in choosing the most suitable model for processing organoid images. …”
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Mega solid bone cyst in iliac region from primary hyperparathyroidism: a case report by Francesco Rosario Campo, Federico Di Sacco, Antonio D’Arienzo, Edoardo Ipponi, Fabio Cosseddu, Vanna Bottai, Sebastiano Barreca, Lorenzo Andreani, Paolo Domenico Parchi

“…Subsequent imaging, including magnetic resonance imaging and computed tomography, confirmed the presence of a large aneurysmal bone cyst. …”
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Ischemic stroke of undetermined source as a priming event for brain metastasis: a case report and systematic literature review by Paolo Amisano, Antonio Ciacciarelli, Svetlana Lorenzano, Irene Berto, Sara Belcastro, Danilo Toni, Manuela De Michele

“…Despite a comprehensive oncologic evaluation, including an ultrasound-guided bronchoscopic biopsy of the suspected lesion, no malignancy was detected. …”
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Augmented-reality-driven medical simulation platform for percutaneous nephrolithotomy with cybersecurity awareness by Yonghang Tai, Lei Wei, Hailing Zhou, Jun Peng, Qiong Li, Feiyan Li, Jun Zhang, Junsheng Shi

“…SimPCNL is mainly composed of a personal computer and two PHANTOM Omni (three-dimensional haptic device) with one stylus that mimics the percutaneous needle. …”
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Impact of Nusinersen on the Health-Related Quality of Life and Caregiver Burden in Patients with Spinal Muscular Atrophy with Symptom Onset before the Age of 6 Months by Yun Jeong Lee, Hyunwoo Bae, Young Kyu Shim, Jae So Cho, Jong Hee Chae, Soonhak Kwon

“…Methods A 14-month observational study was conducted to evaluate changes in HRQoL and functional performance using the Pediatric Quality of Life Inventory (PedsQL) Infant Scales and the Pediatric Evaluation of Disability Inventory Computer Adaptive Test (PEDI-CAT). …”
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FDDM: unsupervised medical image translation with a frequency-decoupled diffusion model by Yunxiang Li, Hua-Chieh Shao, Xiaoxue Qian, You Zhang

“…Our diffusion model uses a dual-path reverse diffusion process for low-frequency and high-frequency information, achieving a better balance between image quality and anatomical accuracy. We extensively evaluated FDDM using two public datasets for brain MR-to-CT and pelvis MR-to-CT translations. …”
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In vitro cytotoxicity assessment of the 3D printed polymer based epoxy resin intended for use in dentistry by Puškar Tatjana, Trifković Branka, Đurović-Koprivica Daniela, Kojić Vesna, Jevremović Ana, Mirković Siniša, Eggbeer Dominic

“…TR 35020: Research and development of modeling methods and approaches in manufacturing of dental recoveries with the application of modern technologies and computer aided systems]…”
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Assessment of the Nutritional Status and Skeletal Muscle Condition in Patients With Resectable Gastric Cancer by I. B. Uvarov, O. M. Asipovich, S. N. Derbenev, A. V. Yashchenko, D. V. Andreev, V. A. Porhanov, A. M. Manuilov

“…During the assessment we used the NRS-2002 system, determined laboratory markers of the NS, calculated the Nutritional Risk Index (NRI), and evaluated the condition of adipose tissue and skeletal muscles using computed tomography.Results: We found that 70.6% of the patients had ND: NRS-2002 score &lt; 3 points (52%) and NRS-2002 score ≥ 3 points (18.6%). …”
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Deep learning radiopathomics predicts targeted therapy sensitivity in EGFR-mutant lung adenocarcinoma by Taotao Yang, Xianqi Wang, Yuan Jin, Xiaohong Yao, Zhiyuan Sun, Pinzhen Chen, Suyi Zhou, Wentao Zhu, Wei Chen

“…This study aims to develop a deep learning radiological-pathological-clinical (DLRPC) model that integrates computed tomography (CT) images, hematoxylin and eosin (H&E)-stained aspiration biopsy samples, and clinical data to predict the response in EGFR-mutant lung adenocarcinoma patients undergoing TKIs treatment. …”
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Sea Surface Height Inversion Model Based on Multimodal Deep Learning for the Fusion of Heterogeneous FY-3E GNSS-R Data by Yun Zhang, Ganyao Qin, Shuhu Yang, Yanling Han, Zhonghua Hong

“…The global sea surface dataset Danmarks Tekniske Universitet 2018 is used as ground truth for model training and evaluation. Data from 1 to 31 July 2022 are used to train PIMFA-Net, while data from August to October 2022 are used to evaluate the general ability of PIMFA-Net. …”
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Ortho-NeRF: generating a true digital orthophoto map using the neural radiance field from unmanned aerial vehicle images by Shihan Chen, Qingsong Yan, Yingjie Qu, Wang Gao, Junxing Yang, Fei Deng

“…Eight ground control points were randomly selected to evaluate the geometric accuracy of the TDOMs, with an average median error of 0.267 m. …”
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Effects of drugs on kinetic values of cytokines, adenosine deaminase and 13,14-dihydro-15-keto-prostaglandin f&lt;sub&gt;2&#945;&lt;/sub&gt; in endotoxemia: a different approach by Feray Altan, Muammer Elmas, Ayse Er, Kamil Uney, Gul Cetin, Bunyamin Tras, Enver Yazar

“…Conclusion: Kinetic values, especially AUC, may be used for total evaluation of endotoxemia markers determined at different sampling times in same groups as a different and logical approach.…”
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ViT-Based Face Diagnosis Images Analysis for Schizophrenia Detection by Huilin Liu, Runmin Cao, Songze Li, Yifan Wang, Xiaohan Zhang, Hua Xu, Xirong Sun, Lijuan Wang, Peng Qian, Zhumei Sun, Kai Gao, Fufeng Li

“…Objectives: Computer-aided schizophrenia (SZ) detection methods mainly depend on electroencephalogram and brain magnetic resonance images, which both capture physical signals from patients’ brains. …”
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Enhancing Autism Spectrum Disorder Classification with Lightweight Quantized CNNs and Federated Learning on ABIDE-1 Dataset by Simran Gupta, Md. Rahad Islam Bhuiyan, Sadia Sultana Chowa, Sidratul Montaha, Rashik Rahman, Sk. Tanzir Mehedi, Ziaur Rahman

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Assessing the AIR classification reliability for estimating pronation of the first metatarsal by Ning Sun, Xuewen Wang, Xiangyu Xu, Heng Li, Wenjing Li, Xiaofeng Gong, Hui Du, Yong Wu

“…This study assessed the reliability and accuracy of the AIR classification(The first metatarsal head’s lateral edge can be delineated as angular (type A), round (type R), or intermediate (type I) through visual inspection or circle measurements on weight-bearing radiographs.)commonly used in clinical settings to categorize the shape of the lateral edge of the first metatarsal head, against measurements from weight-bearing computed tomography (WBCT). Methods This retrospective study evaluated 18 patients, including 31 feet affected by HV. …”
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