A quantum inspired machine learning approach for multimodal Parkinson’s disease screening by Diya Vatsavai, Anya Iyer, Ashwin A. Nair

“…As disease progression impairs speech, memory, and motor functions over time, early diagnosis is crucial for preserving patients’ quality of life. …”
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Cultural context of educational service management on example of e-learning website quality by Aleksandra Radziszewska

“…Conclusions It should be stated that in addition to functional requirement of the e-learning website, it should reflects the cultural environment. …”
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Interpretable Machine Learning Insights into the Factors Influencing Residents’ Travel Distance Distribution by Rui Si, Yaoyu Lin, Dongquan Yang, Qijin Guo

“…In previous studies, a range of distribution functions were modeled to lay the groundwork for human mobility research. …”
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Validating instrument to assess science literacy and independent learning skills in high school by Bebi Ramalia Alfi, P. Paidi, Anggi Tias Pratama

“…Inadequate science literacy and independent learning hinder students' ability to analyze scientific information. …”
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LDL estimation with equations and machine learning; variance of LDL and plasma atherogenic index by Petros Paplomatas, Marina Nikolidaki, Aristidis Vrahatis, Kostas Anagnostopoulos

“…We present the LDLcalc package, which has two main functionalities: the first is the estimation of LDL from CHOL, high-density lipoprotein (HDL) CHOL, and triglycerides (TG). …”
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Investigation of Droplet Spreading and Rebound Dynamics on Superhydrophobic Surfaces Using Machine Learning by Samo Jereb, Jure Berce, Robert Lovšin, Matevž Zupančič, Matic Može, Iztok Golobič

“…In this work, we employed a collection of 1498 water–glycerin droplet impact experiments on monolayer-functionalized laser-structured aluminum samples to train, validate and optimize a machine learning regression model. …”
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Hierarchical reinforcement learning for enhancing stability and adaptability of hexapod robots in complex terrains by Shichang Huang, Zhihan Xiao, Minhua Zheng, Wen Shi

“…The high-level reinforcement learning controller is responsible for learning the parameters of the middle-level CPG and the low-level mapping functions, while the middle and low level controllers coordinate the joint movements within and between legs. …”
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Machine learning-driven benchmarking of China's wastewater treatment plant electricity consumption by Minjian Li, Chongqiao Tang, Junhan Gu, Nianchu Li, Ahemaide Zhou, Kunlin Wu, Zhibo Zhang, Hui Huang, Hongqiang Ren

“…Benchmarking electricity consumption of wastewater treatment plants (WWTPs) is fundamental for sustainable wastewater management, as these facilities have a concomitant electricity-intensive nature along with their pollutant removal and resource recovery functions. Due to the challenge of characterizing influent water quality using traditional methods, satisfactory benchmarks have long been elusive. …”
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Molecular dynamics and machine learning unlock possibilities in beauty design—A perspective by Yuzhi Xu, Haowei Ni, Fanyu Zhao, Qinhui Gao, Ziqing Zhao, Chia-Hua Chang, Yanran Huo, Shiyu Hu, Yike Zhang, Radu Grovu, Hermione He, John Z. H. Zhang, Yuanqing Wang

“…In the small data regime, physics-based approaches model the interaction between the molecule being designed and proteins of key physiological functions, providing structural insights into the mechanism. …”
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Application of Machine Learning in Construction Productivity at Activity Level: A Critical Review by Ying Terk Lim, Wen Yi, Huiwen Wang

“…Noticeably, artificial neural networks, convolutional neural networks, support vector machines, and even deep learning demonstrating have been adopted due to their effectiveness in different functionalities and processes in CPM. …”
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Tailoring Dynamic Synaptic Plasticity in FeTFT Optoelectronic Synapse for Associative Learning by Peng Yang, Hui Xu, Xiaopeng Luo, Shihao Yu, Yang Liu, Yefan Zhang, Xu Guo, Bing Song, Zhiwei Li, Sen Liu, Qingjiang Li

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Homeostatic synaptic normalization optimizes learning in network models of neural population codes by Jonathan Mayzel, Elad Schneidman

“…These findings suggest a dual functional role of synaptic normalization in neural circuits: maintaining spiking and synaptic homeostasis while concurrently optimizing network performance and efficiency in encoding information and learning.…”
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Beyond mixed methods: a pluralist approach to objects in interdisciplinary teaching and learning by Rune Bolding Bennike, Katrine Ellemose Lindvig

“…Abstract The study of objects holds a central place in research on interdisciplinary research practices, yet we know little about the role of objects in facilitating or hindering interdisciplinary learning in higher education. This article develops a pluralist, relational, and dynamic approach to studying the role of objects in interdisciplinary teaching and learning. …”
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Pedagogical Support for Development of Learning Activity Self-regulation in High School Students by M.V. Voropaev, V.S. Neumyvakin

“…Theoretically, the system is based on the structural-functional approach to the study of self-regulation proposed by V.I. …”
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Machine learned potential for high-throughput phonon calculations of metal—organic frameworks by Alin Marin Elena, Prathami Divakar Kamath, Théo Jaffrelot Inizan, Andrew S. Rosen, Federica Zanca, Kristin A. Persson

“…However, computing phonon-mediated properties in MOFs, like thermal expansion and mechanical stability, remains challenging due to the large number of atoms per unit cell, making traditional Density Functional Theory (DFT) methods impractical for high-throughput screening. …”
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Sentiment analysis of user reviews: exploring Duolingo and Babbel in English language learning by Husnat Ahmed Tabssam, Saima Akhtar Chattha, Muhammad Farooq Javeed, Ali Hayat

“…This study investigates the dynamics of user feedback for two prominent mobile language learning applications, Babbel and Duolingo, through the lenses of Dynamic Systems Theory (DST) and Sociocultural Theory (SCT). …”
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The Role of Self-Directed Learning in Mediating the Influence of Teaching Enthusiasm on Professional Identity by Hanifah Tria Intan Jelita, Muhammad Fahmi Johan Syah

“…The results showed that SDL functions as a critical full mediator between Teaching Enthusiasm and Professional Identity formation. …”
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Enhancing structural health monitoring with machine learning for accurate prediction of retrofitting effects by A. Presno Vélez, M. Z. Fernández Muñiz, J. L. Fernández Martínez

“…Ensuring long-term functionality was vital to prevent accidents, economic losses, and service interruptions. …”
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The impact of LLM chatbots on learning outcomes in advanced driver assistance systems education by Mohsin Murtaza, Chi-Tsun Cheng, Bader M. Albahlal, Muhana Magboul Ali Muslam, Mansoor Syed Raza

“…Abstract Our study investigates the efficacy of ChatGPT-assisted learning in enhancing the understanding of Advanced Driver Assistance Systems (ADAS) functionalities, comparing it against conventional paper-based learning methods. …”
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Machine Learning in Public Governance: A Systematic Review of Applications, Trends and Challenges by Y. Nuruly, G. N. Sansyzbayeva, L. Z. Ashirbekova, S. K. Tazhiyeva

“…Today, the active implementation of machine learning (hereinafter – ML) methods in public administration opens up new opportunities for forecasting, impact assessment and decision support, while simultaneously generating various challenges. …”
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