Child-therapist acoustic synchrony and response trajectories in autism intervention: an AI-based automated analysis using dynamic systems theory and affective computing by Giulio Bertamini, Silvia Perzolli, Arianna Bentenuto, Cesare Furlanello, Mohamed Chetouani, David Cohen, Paola Venuti

“…This study employed an AI-based, fully automated computational pipeline to analyze child-clinician interpersonal acoustic synchrony through the lens of complex dynamic systems and affective computing. …”
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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

“…We evaluated the promises and limitations of this approach via a big team science competition. Twelve teams competed to predict self-reported affective experiences using a multi-modal set of peripheral nervous system measures. …”
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Quantum annealing feature selection on light-weight medical image datasets by Merlin A. Nau, Luca A. Nutricati, Bruno Camino, Paul A. Warburton, Andreas K. Maier

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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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Of donkeys, elephants, and dehumanization: exploring the content and implications of stereotypes of Republicans, Democrats, Libertarians, and independents by Elizabeth R. Brown, Curtis E. Phills, Candice J. Veilleux-Mesa

“…Further, fundamental competence stereotypes about one's own major political group were associated with the dehumanization of the other major political group. …”
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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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