MRI-Based Machine Learning and Radiomics Methods for Assessing Spinal Cord Function in Patients with Mild Cervical Spondylotic Myelopathy by He Wang, Kai Wang, Yutian Wang, Zhenlei Liu, Lei Zhang, Shanhang Jia, Kun He, Xiangyu Zhang, Hao Wu

“…While PET evaluates spinal cord function, its cost and radiation limit its use. (2) Methods: In this prospective study, patients with mild cervical spondylosis underwent preoperative 18F-FDG PET-MRI. …”
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Functional Disability and Psychological Impact in Headache Patients: A Comparative Study Using Conventional Statistics and Machine Learning Analysis by Jong-Ho Kim, Hye-Sook Kim, Jong-Hee Sohn, Sung-Mi Hwang, Jae-Jun Lee, Young-Suk Kwon

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Disulfidptosis-related gene in acute myocardial infarction and its diagnostic value and functions based on bioinformatics analysis and machine learning by Liwen Chen, Jinru Wei, Jinru Wei, Guoxiong Deng, Guoxiong Deng, Guien Xu

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A comparative study of EEG functional and effective connectivity patterns in children with learning difficulties during reading and math tasks by Haiyan Liu, Haiyan Liu, Huimin Liu

“…However, no statistically significant differences were observed between the groups regarding effective connectivity.DiscussionThese findings highlight specific task-related brain functional connectivity differences between reading and math learning difficulties, suggesting potential compensatory mechanisms in RD and cognitive control challenges in MD. …”
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Ivan Ivić: The human as animal symbolicum: Origins of symbolic function, Springer, Edition: Social Interaction in Learning and Development, 2024. by Stepanović-Ilić Ivana

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Multi-fidelity transfer learning for quantum chemical data using a robust density functional tight binding baseline by Mengnan Cui, Karsten Reuter, Johannes T Margraf

“…Machine learning has revolutionized the development of interatomic potentials over the past decade, offering unparalleled computational speed without compromising accuracy. …”
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Integrative multi-omics and machine learning reveal critical functions of proliferating cells in prognosis and personalized treatment of lung adenocarcinoma by Shun Wang, Dingtao Hu, Ruohuang Wang, Jie Huang, Baoqing Wang

“…High- and low-SPRS groups exhibited different biological functions and immune cell infiltration in the TIME. …”
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Notice of Retraction: Molecular Diagnostic and Using Deep Learning Techniques for Predict Functional Recovery of Patients Treated of Cardiovascular Disease by Ar Junejo, Yin Shen, Asif Ali Laghari, Xiaobo Zhang, Hao Luo

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Development and calibration of roundabout safety performance functions using machine learning: a case study from Amman, Jordan by Diana Al-Nabulsi, Aya Hassouneh

“…However, conventional Safety Performance Function (SPF) development is typically constrained by the availability of long-term empirical crash data, limiting its applicability in rapidly urbanizing or data-limited regions. …”
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Evaluating and Diagnosing Urban Function and Perceived Quality Based on Multi-Source Data and Deep Learning Using Dalian as an Example by Yumeng Meng, Mei Lyu, Dong Sun, Jiaxuan Shi, Hiroatsu Fukuda

Subjects: “…urban function…”
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Disentangling shared and unique brain functional changes associated with clinical severity and cognitive phenotypes in schizophrenia via deep learning by Jing Xia, Yi Hao Chan, Deepank Girish, Qian Hui Chew, Kang Sim, Jagath C. Rajapakse

“…We design an interpretable graph-based multi-task deep learning framework to enhance the simultaneous prediction of schizophrenia illness severity and cognitive functioning measurements by using functional connectivity, and identify both shared and unique brain patterns associated with these phenotypes on 378 subjects from three datasets. …”
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Machine learning-based melting congruency prediction of binary compounds using density functional theory-calculated formation energy by Youngwoo Choi, Chris M. Wolverton, Seungbum Hong

“…We present the development of a machine-learning (ML) model for predicting the congruency of compound melts by utilizing a combination of density functional theory-calculated formation energies and a database of experimental melting reactions. …”
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Multimodal Deep Learning for Android Malware Classification by James Arrowsmith, Teo Susnjak, Julian Jang-Jaccard

Subjects: “…multimodal deep learning for Android malware detection…”
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Functional Data Analysis for Prediction of Employee Presence by Nouhaila Goujili, Matthieu Saumard, Nicolas Cochard, Maher Jridi

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Bearing fault diagnosis method based on improved compressed sensing and deep multi-kernel extreme learning machine by FU Qiang, HU Dong, YANG Tongliang, LUO Guoqing, TAN Weimin

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Bearing fault diagnosis method based on improved compressed sensing and deep multi-kernel extreme learning machine by FU Qiang, HU Dong, YANG Tongliang, LUO Guoqing, TAN Weimin

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Conversational Analysis: Types and Function of Speech Acts in EFL Classroom Interactions by Hieronimus Canggung Darong

“…Understanding speech act production in EFL classroom interactions is crucial for enhancing teaching effectiveness and student engagement, as it sheds light on how language is used to convey meaning and manage social interactions in the learning environment. The purpose of this study was to analyze the speech act types and functions that were used by an EFL teacher and their students during classroom interactions. …”
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Transformer-Driven Active Transfer Learning for Cross-Hyperspectral Image Classification by Muhammad Ahmad, Francesco Mauro, Rana Aamir Raza, Manuel Mazzara, Salvatore Distefano, Adil Mehmood Khan, Silvia Liberata Ullo

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Toward improving precision and complexity of transformer-based cost-sensitive learning models for plant disease detection by Manh-Tuan Do, Manh-Hung Ha, Duc-Chinh Nguyen, Oscal Tzyh-Chiang Chen, Oscal Tzyh-Chiang Chen

“…Furthermore, we adopted the SIoU loss function, a modified version of CIoU, applied to the YOLOv8s model, demonstrating a substantial improvement in accuracy. …”
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Resilience evaluation of memristor based PUF against machine learning attacks by Hebatallah M. Ibrahim, Heorhii Skovorodnikov, Hoda Alkhzaimi

Subjects: “…Physical unclonable functions…”
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