Early Attrition Prediction for Web-Based Interpretation Bias Modification to Reduce Anxious Thinking: A Machine Learning Study by Sonia Baee, Jeremy W Eberle, Anna N Baglione, Tyler Spears, Elijah Lewis, Hongning Wang, Daniel H Funk, Bethany Teachman, Laura E Barnes

“…ObjectiveThis paper aims to identify participants at a high risk of dropout during the early stages of 3 web-based trials of multisession CBM-I and to investigate which self-reported and passively detected feature sets computed from the participants interacting with the intervention and assessments were most informative in making this prediction. …”
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Mapping Invasive <italic>Spartina alterniflora</italic> Using Phenological Information and Red-Edge Bands of Sentinel-2 Time-Series Data by Yiwei Ma, Li Zhuo, Jingjing Cao

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Predictive modelling and identification of critical variables of mortality risk in COVID-19 patients by Olawande Daramola, Tatenda Duncan Kavu, Maritha J. Kotze, Jeanine L. Marnewick, Oluwafemi A. Sarumi, Boniface Kabaso, Thomas Moser, Karl Stroetmann, Isaac Fwemba, Fisayo Daramola, Martha Nyirenda, Susan J. van Rensburg, Peter S. Nyasulu

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Deep Learning and Image Generator Health Tabular Data (IGHT) for Predicting Overall Survival in Patients With Colorectal Cancer: Retrospective Study by Seo Hyun Oh, Youngho Lee, Jeong-Heum Baek, Woongsang Sunwoo

“…To interpret model decisions, gradient-weighted class activation mapping (Grad-CAM) was applied to visualize regions of the input images that contributed most to predictions, enabling identification of key prognostic features. …”
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On-chip graphene photodetectors with a nonvolatile p–i–n homojunction by Ruijuan Tian, Yong Zhang, Yingke Ji, Chen Li, Xianghu Wu, Jianguo Wang, Shuaiwei Jia, Liang Liu, Mingwen Zhang, Yu Zhang, Qiao Zhang, Zhuang Xie, Zhengdong Luo, Duorui Gao, Yan Liu, Jianlin Zhao, Zhipei Sun, Xuetao Gan

“…With the high-performance on-chip photodetection, the nonvolatile graphene homojunction directly constructed on silicon photonic circuits promises the extended on-chip functions of the optoelectronic synapse, in-memory sensing and computing, and neuromorphic computing.…”
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Artifacts map-guided nonlocal mean denoising for abdominal 4-dimensional magnetic resonance imaging using view-sharing acquisition for radiotherapy motion management by Yat Lam Wong, Hing Chiu Chang, Weiwei Liu, Weihu Wang, Yibao Zhang, Hao Wu, Ho-Fun Victor Lee, Lai-Yin Andy Cheung, Tian Li, Jing Cai

“…A multiphase motion field was computed on the frames with the minimum average localized gradient entropy for each phase to generate a full set of improved quality 4D-MR images. …”
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Deep learning radiomics based on contrast enhanced MRI for preoperatively predicting early recurrence in hepatocellular carcinoma after curative resection by Ying Zhao, Sen Wang, Sen Wang, Yue Wang, Jun Li, Jinghong Liu, Yuhui Liu, Haitong Ji, Wenhan Su, Qinhe Zhang, Qingwei Song, Yu Yao, Yu Yao, Ailian Liu, Ailian Liu

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Development and validation of an early diagnosis model for severe mycoplasma pneumonia in children based on interpretable machine learning by Si Xie, Mo Wu, Yu Shang, Wenbin Tuo, Jun Wang, Qinzhen Cai, Chunhui Yuan, Cong Yao, Yun Xiang

“…Results After variable selection, eight machine learning models were developed using age, sex and 21 serum indicators identified as predictive factors for SMPP. A Light Gradient Boosting Machine (LightGBM) model demonstrated strong performance, achieving AUC of 0.92 for prospective validation. …”
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Thermo-mechanical-fluid coupled modeling for residual stress prediction in thick plate welding by Yonghui Su, Haitao Xia, Shuo Chen, Chen Wang, Shuaiyu Wu, Wei Lu, Jun Zhu, Hao Wu

“…This study proposes a novel thermal fluid mechanical model (CFD-FEM) by integrating the computational fluid dynamics (CFD) model and the finite element method (FEM) model, considering molten pool flow. …”
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Prediction of EGFR mutations in non-small cell lung cancer: a nomogram based on 18F-FDG PET and thin-section CT radiomics with machine learning by Jianbo Li, Qin Shi, Yi Yang, Jikui Xie, Qiang Xie, Ming Ni, Xuemei Wang, Xuemei Wang

“…Radiomic features were extracted from 18F-fluorodeoxyglucose positron emission tomography (18F-FDG PET) and thin-section computed tomography (CT) scans. After selecting optimal radiomic features, four machine learning algorithms, including logistic regression (LR), random forest (RF), support vector machine (SVM), and extreme gradient boosting (XGBoost), were used to develop and validate radiomics models. …”
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Meta-Features Extracted from Use of kNN Regressor to Improve Sugarcane Crop Yield Prediction by Luiz Antonio Falaguasta Barbosa, Ivan Rizzo Guilherme, Daniel Carlos Guimarães Pedronette, Bruno Tisseyre

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Machine learning-based identification of key biotic and abiotic drivers of mineral weathering rate in a complex enhanced weathering experiment [version 2; peer review: 1 approved,... by Thomas Corbett, Harun Niron, Lukas Rieder, Reinaldy P. Poetra, Abhijeet Singh, Michiel Van Tendeloo, Siegfried E. Vlaminck, Steven Latré, Jan Willem van Groenigen, Jens Hartmann, Alix Vidal, Anna Neubeck, Mathilde Hagens, Ivan A. Janssens, Tim Verdonck, Sara Vicca, Thomas Servotte, Iris Janssens, Steven Mortier, Tullia Calogiuri

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A Convolutional Neural Network Tool for Early Diagnosis and Precision Surgery in Endometriosis-Associated Ovarian Cancer by Christian Macis, Miriam Santoro, Vladislav Zybin, Stella Di Costanzo, Camelia Alexandra Coada, Giulia Dondi, Pierandrea De Iaco, Anna Myriam Perrone, Lidia Strigari

“…The results of each CNN model for each slice within a VOI were combined using three rival machine learning (ML) models, i.e., Random Forest (RF), Gradient Boosting (GB), and K-Nearest Neighbor (KNN), to obtain a final output distinguishing between EAOC and NEOC, and between EAOC/NEOC and non-tumoral tissues. …”
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An integrated deep learning framework using adaptive enhanced vision fusion and modified mobilenet architecture for precision classification of skin diseases with enhanced diagnost... by Ahsan Bilal Tariq, Muhammad Zaheer Sajid, Nauman Ali khan, Muhammad Fareed Hamid, Anwaar UlHaq, Jarrar Amjad

“…Experimental results also highlight how IoT devices and mobile applications can enhance the computational efficiency and practical deployment of the Dermo-Transfer model.…”
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Simulation and Experimental Verification of Urban Rail Transit Train Friction Pair Temperature Field Considering Contact Heat Transfer by SUN Ningyuan, ZHU Wenliang, YANG Zijie, XUE Wensheng, WU Na, YU Chaogang

“…During the model construction, key factors such as contact thermal conductivity coefficients, material thermophysical parameters, and convective heat transfer coefficients are comprehensively taken into account, and the grid independence verification ensures computational accuracy. Working conditions for a train load are set to AW3 full capacity (abnormal weight), the initial operating speed to 80 km/h, and the braking deceleration to 1.2 m/s2. …”
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Development and validation of a radiomics-based nomogram for predicting pathological grade of upper urinary tract urothelial carcinoma by Yanghuang Zheng, Hongjin Shi, Shi Fu, Haifeng Wang, Xin Li, Zhi Li, Bing Hai, Jinsong Zhang

“…This study aims to develop and validate a nomogram model using computed tomography urography (CTU) images to predict HG UTUC. …”
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Development and validation of web-based, interpretable predictive models for sepsis and mortality in extensive burns by Shi-Qi Wang, Shi-Qi Wang, Kan Qiu, Qi-Rui Zheng, Bing-Jie Zhou, Ming-Yu Li, Hai-Yan Zhong, Yong Chen, Si-Ming Yuan, Si-Ming Yuan

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Rancang Bangun ECG Simulator Menggunakan Digital to Analog Converter R-2R by Mulyatno Saimi

“…The test results using simulation software on a computer screen show that the conversion gradient is not yet perfect, but the print on the ECG tool is not visible. …”
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Securing Electric Vehicle Performance: Machine Learning-Driven Fault Detection and Classification by Mahbub Ul Islam Khan, Md. Ilius Hasan Pathan, Mohammad Mominur Rahman, Md. Maidul Islam, Mohammed Arfat Raihan Chowdhury, Md. Shamim Anower, Md. Masud Rana, Md. Shafiul Alam, Mahmudul Hasan, Md. Shohanur Islam Sobuj, Md. Babul Islam, Veerpratap Meena, Francesco Benedetto

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Childhood trauma and recent stressors in predicting subclinical psychotic symptoms among Chinese university students in southwest China: a machine learning analysis within a gender... by Jay Pan, Samuele Cortese, Gang Wang, Tao Hu, Steve Lukito, Miguel Garcia-Argibay, Wanjie Tang, Siqi Wu, Zeyuan Sun, Qiaolan Liu, Shuang Xue, Zijian Deng, Qijun Zhao, Kadan Anoop, Natali Bozhilova, Aldo Conti, Chunhan Jin, Changjian Qiu, Katya Rubia

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