Multivariate Modelling and Prediction of High-Frequency Sensor-Based Cerebral Physiologic Signals: Narrative Review of Machine Learning Methodologies by Nuray Vakitbilir, Abrar Islam, Alwyn Gomez, Kevin Y. Stein, Logan Froese, Tobias Bergmann, Amanjyot Singh Sainbhi, Davis McClarty, Rahul Raj, Frederick A. Zeiler

“…This review explores the use of multivariate machine learning models in cerebral physiology as a whole, with an emphasis on sensor-derived signals related to hemodynamics, cerebral oxygenation, metabolism, and other modalities such as electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) where applicable. It will detail the operational principles, mathematical foundations, and clinical implications of these models, providing a deeper understanding of their significance in monitoring cerebral function.…”
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The economic burden of post-endoscopic retrograde cholangiopancreatography (ERCP) procedure infections in Italy by Paolo Sciattella, Annarosa Fornero, Susanna Giordano, Claudio De Angelis, Francesco Cattel

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Editorial Preview by Su-Cheng Haw

“…This particular October 2024 release contains 12 papers within the regular section that covers a broad range of application concerning Machine Learning (ML), Artificial Intelligence (AI), Data Mining (DM), Software Engineering, Recommender Systems, Cybersecurity, Healthcare, and other key areas in web engineering. …”
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Navigating the evolution: a comprehensive review of sustainable finance in mergers and acquisitions [version 1; peer review: 2 approved] by Kishan Jee, Debdas Rakshit, Sabyasachi Mondal, Satish Chandra Tiwari

“…Finally, there is a gap in the current body of knowledge about greenwashing, green audits, and the use of AI in sustainable finance. Conclusions and implications of key findings Machine learning and big data analytics may help scholars get a more thorough grasp of the historical and present significance of sustainability in M&A. …”
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Enhancing Strategic Partnerships in Higher Education: Developing and Implementing a Predictive Model by Georgios Eftychiou

“…It offers higher education institutions, like Humber Polytechnic, a systematic, data-driven framework to assess potential partnerships by aligning institutional goals with industry capabilities. …”
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Multi-objective optimization of urban logistics land: a gradient-based method approach with Wuhan city as an example by Hongzan Jiao, Shuaikang Zhang

“…To tackle this issue, our study integrates truck GPS trajectory data with urban land use datasets to formulate a multi-objective optimization model. …”
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Federated Learning Approach for Breast Cancer Detection Based on DCNN by Hussain AlSalman, Mabrook S. Al-Rakhami, Taha Alfakih, Mohammad Mehedi Hassan

“…Currently, while deep convolutional neural networks (DCNNs) have shown promise in breast cancer detection, their application is often hampered by privacy concerns associated with sharing patient data and the limitation of training on small, localized datasets. …”
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A Multiclassification Model for Skin Diseases Using Dermatoscopy Images with Inception-v2 by Shulong Zhi, Zhenwei Li, Xiaoli Yang, Kai Sun, Jiawen Wang

“…These results show that our proposed model performs better than the above models and performs well in classifying dermatological images, which has significant application value.…”
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ON THE CREATION OF THE AUTOMATION SYSTEM RELATED TO SOCIAL-ECONOMIC MOVEMENTS OF PEOPLE by L. V. Rudikova, V. V. Danilchik

“…In the paper is noted the feature of the client application, which provides a convenient interface for analyzing data in the form of diagrams, graphs, maps, etc. …”
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Construction control of cable-stayed bridge top push method based on BIM technology by Chengyong Chen, Wenming Su, Wenqiang Dou, Yongquan Dong, Ben Zhang

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The Impact of Artificial Intelligence on the Future Business World by Hebah Y. AlQato

“…The emergence of AI has raised questions regarding data security and consumers' privacy, employment displacement, and AI's ethical application, however. …”
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Normal-Only Anomaly Detection in Environmental Sensors in CPS: A Comprehensive Review by Yaa Takyiwaa Acquaah, Roy Kaushik

“…With a focus on identifying deviations from normal behavior rather than categorizing specific anomalies, this review covers a wide range of anomaly detection techniques tailored to environmental sensor data. Furthermore, we offer perspectives on particular application fields of CPS and explore how anomaly detection techniques that depend exclusively on data from normal operations are implemented. …”
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Applying Google trends to analyze electoral Outcomes: A 2024 cross-national perspective by Dmitry Erokhin

“…By conducting a comprehensive cross-country analysis of multiple elections, this research contributes to the expanding literature on the application of digital data analytics in social and political research and underscores the descriptive utility of search data across different electoral contexts.…”
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Beta Autoregressive Moving Average Model with the Aranda-Ordaz Link Function by Carlos E. F. Manchini, Diego Ramos Canterle, Guilherme Pumi, Fábio M. Bayer

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Digital Diplomacy in Russian International Studies: Research Methods by A. A. Pavlyuchenko

“…The third section focuses on the scholarly papers drawing on the most time-consuming and demanding method of Big Data (hashtags) processing. The author stresses that its application is fraught with a whole range of quite specific methodological and purely technical problems, in particular, screening out bots and other ways of traffic manipulation. …”
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A novel deep learning algorithm for real-time prediction of clinical deterioration in the emergency department for a multimodal clinical decision support system by Arom Choi, Kwanhyung Lee, Heejung Hyun, Kwang Joon Kim, Byungeun Ahn, Kyung Hyun Lee, Sangchul Hahn, So Yeon Choi, Ji Hoon Kim

“…Future work should focus on expanding the dataset and enhancing real-time data integration across multiple centers to further optimize its application within the novel CDSS.…”
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Cognitive Computing with Large Language Models for Student Assessment Feedback by Noorhan Abbas, Eric Atwell

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Field-level Comparison and Robustness Analysis of Cosmological N-body Simulations by Adrian E. Bayer, Francisco Villaescusa-Navarro, Sammy Sharief, Romain Teyssier, Lehman H. Garrison, Laurence Perreault-Levasseur, Greg L. Bryan, Marco Gatti, Eli Visbal

“…Our findings motivate the need for careful data filtering and the use of field-level OOD metrics, such as PQMass, to ensure robust inference.…”
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Tree Roots Reconstruction Framework for Accurate Positioning in Heterogeneous Soil by Wenhao Luo, Yee Hui Lee, Hai-Han Sun, Genevieve Ow, Mohamed Lokman Mohd Yusof, Abdulkadir C. Yucel

“…Ground-penetrating radar has recently found wide application in the underground imaging of tree roots. …”
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Exploring the potential of online social listening for noncommunicable disease monitoring by Diana Braga, Inês Silva, Rafaela Rosário, Paulo Novais, Hugo Peixoto, José Machado

“…Utilizing the Twitter Application Programming Interface (API), the study collected data on NCDs, their risk factors, and their impact on children. …”
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