Big team science reveals promises and limitations of machine learning efforts to model physiological markers of affective experience by Nicholas A. Coles, Bartosz Perz, Maciej Behnke, Johannes C. Eichstaedt, Soo Hyung Kim, Tu N. Vu, Chirag Raman, Julian Tejada, Van-Thong Huynh, Guangyi Zhang, Tanming Cui, Sharanyak Podder, Rushi Chavda, Shubham Pandey, Arpit Upadhyay, Jorge I. Padilla-Buritica, Carlos J. Barrera Causil, Linying Ji, Felix Dollack, Kiyoshi Kiyokawa, Huakun Liu, Monica Perusquia-Hernandez, Hideaki Uchiyama, Xin Wei, Houwei Cao, Ziqing Yang, Alessia Iancarelli, Kieran McVeigh, Yiyu Wang, Isabel M. Berwian, Jamie C. Chiu, Dan-Mircea Mirea, Erik C. Nook, Henna I. Vartiainen, Claire Whiting, Young Won Cho, Sy-Miin Chow, Zachary F. Fisher, Yanling Li, Xiaoyue Xiong, Yuqi Shen, Enzo Tagliazucchi, Leandro A. Bugnon, Raydonal Ospina, Nicolas M. Bruno, Tomas A. D'Amelio, Federico Zamberlan, Luis R. Mercado Diaz, Javier O. Pinzon-Arenas, Hugo F. Posada-Quintero, Maneesh Bilalpur, Saurabh Hinduja, Fernando Marmolejo-Ramos, Shaun Canavan, Liza Jivnani, Stanisław Saganowski

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Domain-Specific Languages for Algorithmic Graph Processing: A Systematic Literature Review by Houda Boukham, Kawtar Younsi Dahbi, Dalila Chiadmi

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A novel activity space approach to discover displacement patterns via mobile phone data: an analysis of the 2023 Türkiye-Syria earthquakes by Bilgeçağ Aydoğdu, Didem Danış, Özge Bilgili, Cemil Yıldızcan, Semiha Nur Yağcıklı, Subhi Güneş, Albert Ali Salah

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Data Compactness Versus Prediction Performance: Achieving Both by Pruning Redundant Samples With Dominant Patterns and Hamming Distance Based Sampling Scheme by Abdul Majeed, Seong Oun Hwang

“…Redundant samples can increase computing and storage requirements while minimally contributing to predictive performance, necessitating their removal before the training phase. …”
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Exploring Blockchain–IoT Convergence for Logistics Traceability: A Systematic Review and Future Outlook by Yahaya Saidu, Shuhaida Mohamed Shuhidan, Izzatdin Abdul Aziz, MD Mahmudul Alam, Dahiru Adamu Aliyu, Muhammad Muntasir Yakubu, Shamsuddeen Adamu

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Identifying patterns of high intraoperative blood pressure variability in noncardiac surgery using explainable machine learning: a retrospective cohort study by Zheng Zhang, Jian Wu, Yi Duan, Linwei Liu, Yaru Liu, Jinghan Wang, Li Xiao, Zhifeng Gao

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Identification and validation of hub m7G-related genes and infiltrating immune cells in osteoarthritis based on integrated computational and bioinformatics analysis by Zhenhui Huo, Chongyi Fan, Kehan Li, Chenyue Xu, Yingzhen Niu, Fei Wang

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Multinational patterns of second line antihyperglycaemic drug initiation across cardiovascular risk groups: federated pharmacoepidemiological evaluation in LEGEND-T2DM by Rohan Khera, Jing Li, Katherine Simon, Yuan Lu, Joseph S Ross, Talita Duarte-Salles, Michael E Matheny, Harlan Krumholz, Kenneth KC Man, Carlen Reyes, Paul Nagy, Nigam Shah, Martijn J Schuemie, Daniel R Morales, Scott L DuVall, Seng Chan You, Jose D Posada, George Hripcsak, Marc A Suchard, Patrick B Ryan, Anna Ostropolets, Michael Cook, Evan Minty, Andrea Pistillo, Clair Blacketer, Arya Aminorroaya, Thomas Falconer, Nestoras Mathioudakis, Jin J Zhou, Can Yin, Kelly Li, Lovedeep Singh Dhingra, Faaizah Arshad, Mary G Bowring, Fan Bu, David A Dorr, Tina E French, Elizabeth E Hanchrow, Scott Horban, Wallis CY Lau, Yuntian Liu, Michael F McLemore, Akihiko Nishimura, Nicole Pratt, Sarah Seager, Eric YF Wan, Jianxiao Yang

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P253 Next-generation phenotyping facilitates the identification of structural brain malformations in rare disorders through computational brain MRI analysis by Tzung-Chien Hsieh, Shriya Jaddu, Hannah Weiland, Merle ten Hagen, Jing-Mei Li, Chi-Chia Chang, Sun-Yuan Hsieh, Hsin-Hung Chou, Gholson Lyon, William Dobyns, Wei-Liang Chen

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Computer Tomography Features of Antineutrophil Cytoplasm Antibody-associated Vasculitis-interstitial Lung Disease and Its Correlation with Antineutrophil Cytoplasmic Antibody Conce... by Hongmei WANG, Junlin LI, Yuqing DONG, Yueyang ZHANG, Renhuan YAO

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Computational image and molecular analysis reveal unique prognostic features of immune architecture in African Versus European American women with endometrial cancer by Sepideh Azarianpour, Sirvan Khalighi, Arpit Aggarwal, Vidya Sankar Viswanathan, Pingfu Fu, Stefanie Avril, Anant Madabhushi

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Evaluation of Morphology and Prevalence of Palatoradicular Grooves on Affected Maxillary Anterior Teeth Using Cone-Beam Computed Tomography: An Institutional Retrospective Study by Dilara Baştuğ, Leyla Benan Ayrancı

“…This retrospective study aimed to evaluate the prevalence, morphological types, and distribution patterns of palatoradicular grooves (PRGs) in maxillary anterior teeth using cone-beam computed tomography (CBCT) in a Turkish population. …”
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Using Hybrid Feature and Classifier Fusion for an Asynchronous Brain–Computer Interface Framework Based on Steady-State Motion Visual Evoked Potentials by Bo Hu, Jun Xie, Huanqing Zhang, Junjie Liu, Hu Wang

“…This study proposes an asynchronous brain–computer interface (BCI) framework based on steady-state motion visual evoked potentials (SSMVEPs), designed to enhance the accuracy and robustness of control state recognition. …”
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Evolution of strain field and crack prediction in cemented paste backfill specimens based on digital image correlation and computer vision recognition model by Huanbao Zhang, Tao Gao, Fulin Wang, Qibin Lin, Shenchen Zhang, Changhui Zou, Shijiao Yang, Haiyang He

“…The developed computer vision recognition model (HSV-CVR), based on hue, saturation, and value color patterns, processes strain field data to quantify the proportions of various strain regions. …”
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Coevolution of Lentiviral Vif with Host A3F and A3G: Insights from Computational Modelling and Ancestral Sequence Reconstruction by David Nicolas Giuseppe Huebert, Atefeh Ghorbani, Shaw Yick Brian Lam, Mani Larijani

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Enhancing Manufacturing Precision: Leveraging Motor Currents Data of Computer Numerical Control Machines for Geometrical Accuracy Prediction Through Machine Learning by Lucijano Berus, Jernej Hernavs, David Potocnik, Kristijan Sket, Mirko Ficko

“…Feature extraction was performed using Tsfresh and ROCKET, which allowed us to capture the patterns in the motor current data corresponding to the geometric features of the machined parts. …”
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Corrosion inhibition of steel in sulphuric acid using Ferula Assa foetida L. extract as an eco-friendly inhibitor: Experimental and computational study by Amirhossein Hafazeh, Ali Balooch, Zeynab Dadashi Shanbaraki, Mahboobeh Azadi

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Palatal Soft Tissue Thickness on Maxillary Posterior Teeth and Its Relation to Palatal Vault Angle Measured by Cone-Beam Computed Tomography by Doosadee Hormdee, Thanwarat Yamsuk, Pipop Sutthiprapaporn

“…Analyzing palatal soft tissue thickness in cone-beam computed tomography (CBCT) images and evaluating the relationship between tissue thickness and palatal vault angulation. …”
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Computer Vision-Based Research on the Mechanism of Stick–Slip Vibration Suppression and Wear Reduction in Water-Lubricated Rubber Bearing by Surface Texture by Anbang Zhu, Ao Ji, Longyang Sheng, Dequan Zhu, Quan Zheng, Xincong Zhou, Jun Wang, Fuming Kuang

“…In this study, various texture patterns with different area ratios and aspect ratios were designed on the surface of water-lubricated rubber bearings. …”
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Analysis of kinetic parameters of sexed Holstein-Friesian bull spermatozoa using Percoll density gradient centrifugation with computer-assisted sperm analysis by Putri Utami, Aulia Puspita Anugra Yekti, Chairun Nisa Aperi Simbolon, Habib Asshidiq Syah, Anny Amaliya, Tri Agus Siswoyo, Nurul Isnaini, Trinil Susilawati

“…Kinetic parameters, including motility, velocity, and movement patterns, were assessed pre- and post-sexing. Statistical analyses were performed using a one-way analysis of variance and Duncan’s test to determine significant differences. …”
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