The Enterprise School Readiness Prediction System (ESRPS) Uses Machine Learning to Assess Children's Readiness for Entering Elementary School by Muhammad Choerul Umam, Cicilia Dyah Sulistyaningrum I., Dydik Kurniawan, Priyono Tri Febrianto

“…This study aims to develop and evaluate the Enterprise School Readiness Prediction System (ESRPS) to predict children's readiness for elementary school using machine learning algorithms.  This research employs the Research and Development (R&D) method using Borg and Gall’s model and Instruments include questionnaires, programming tools, performance evaluation metrics, and web/database development tools to ensure the system's validity, reliability, and practical applicability.The research analyzes data from 300 students in various Indonesian cities, focusing on attributes like age, gender, and parental education. …”
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DIGITALIZATION AS A TOOL FOR MANAGING INNOVATION-DRIVEN SUSTAINABLE DEVELOPMENT IN THE ARCTIC INDUSTRIAL SECTOR by Vladimir S. Zharov

“…However, achieving this goal requires effective management, which can be improved through digitalization based on algorithmic processes. Accordingly, this study aims to substantiate and outline the key stages of algorithmizing the management of sustainable industrial development. …”

KT-Deblur: Kolmogorov–Arnold and Transformer Networks for Remote Sensing Image Deblurring by Baoyu Zhu, Zekun Li, Qunbo Lv, Zheng Tan, Kai Zhang

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Application of High-Resolution Core Curve Construction in Logging Lithology Identification by YOU Ting, ZHU Tianyi, XU Pengye, WANG Shuhua, HE Xing, YU Lijun

“…The development and application of artificial intelligence, especially machine learning technology, has provided new technical ways to solve the logging lithology identification problem. The research in this paper takes Yan22 well area in the northern belt of Minfeng sag as an example. …”
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Leveraging advanced technologies for early detection and diagnosis of oral cancer: Warning alarm by Saantosh Saravanan, N. Aravindha Babu, Lakshmi T, Mukesh Kumar Dharmalingam Jothinathan

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Computational Linguistics Applications in AI-Based Investment and Cost Structuring Models by Miralieva Dilafruz, Ramatov Jumaniyoz, Azimova Lola, Khusamiddinova Malika, Alimbaeva Shahlo, Omonova Laylo

“…Empirically, we draw on a cross-sectional research project, assessing the predictive power of linguistic data processing algorithms and the experiences of financial analysts in cost structuring contexts. …”
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Enhancing forest biodiversity indicators in inventories through harmonized protocols by Moreno-Fernández D, Breidenbach J, Cañellas I, Chirici G, D’Amico G, Ferretti M, Giannetti F, Puliti S, Schnell S, Shackleton R, Skudnik M, Alberdi I

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Waterbody Detection and Reservoir Water Level Prediction Using Bayesian Mixture Models with Sentinel-1 GRD Data by DongHyeon Yoon, Ha-Eun Yu, Euiho Hwang, Ki-mook Kang, Gibeom Nam, Jin-Gyeom Kim

“…These findings underscore the potential of Sentinel-1 SAR data for effective reservoir monitoring, especially where real-time water level data may be lacking. For future research, higher-resolution data or complementary algorithms may further enhance detection accuracy for smaller and more complex water features, contributing to more refined water resource management strategies.…”
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A hierarchical vision-based localization of rotor unmanned aerial vehicles for autonomous landing by Haiwen Yuan, Changshi Xiao, Supu Xiu, Wenqiang Zhan, Zhenyi Ye, Fan Zhang, Chunhui Zhou, Yuanqiao Wen, Qiliang Li

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Leveraging machine learning to evaluate the effect of raw materials on the compressive strength of ultra-high-performance concrete by Mohamed Abdellatief, G. Murali, Saurav Dixit

“…This study presents an approach to forecasting the compressive strength (CS) of UHPC, ranging from 270 kg/m³ to 750 kg/m³, by employing advanced machine learning techniques. The research utilizes stepwise linear regression (SLR), random forest (RF), gradient boosting (GB), extreme gradient boosting (XGB), and Gaussian process regression (GPR) algorithms, developed based on 357 experimental results sourced from recent studies. …”
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Designing Predictive Tools for Personalized Functionalities in Knitted Performance Wear by Martijn ten Bhömer, Hai-Ning Liang, Difeng Yu, Yuanjin Liu, Yifan Zhang, Eva de Laat, Carola Leegwater

“…These questions are investigated through the analysis of a Research Through Design case study, in which several predictive algorithms were compared and implemented in a user interface that would aid knitwear designers during the development process of high-performance running tights. …”
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Exploring the Landscape of Operating Room Scheduling: A Bibliometric Analysis of Recent Advancements and Future Prospects by Md Al Amin, Majed Hadid, Adel Elomri, Rabah Ismaen, Ismail Dergaa, Hind Alashi, Amal Jobran Al-Hajaji, Moustafa Alkhalil, Omar M Aboumarzouk, Abdelfatteh EL Omri

“…Bibliometric analysis charts ORS research evolution guides future research, and holds significance for practitioners, policymakers, and academics, enhancing ORS paradigms and healthcare delivery.…”
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PIPNet: A Deep Convolutional Neural Network for Multibaseline InSAR Phase Unwrapping Based on Pure Integer Programming by Hui Liu, Ke Zheng, Changwei Miao, Xuemei Liu, Xianlin Liu, Lin Li, Yongguang Zhang, Longhai Xiong

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Main trends in the improvement of software of mobile laser remote chemical reconnaissance complexes by V. A. Inozemcev, A. A. Grigor’ev, I. N. Efimov, A. A. Pozvonkov, A. S. Soloshin

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The Contract Education as a Goal-oriented System of Activity by Valery M. Anikin, Boris N. Poizner, Eduard A. Sosnin

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Why are Some Recommendation Systems Preferred? by Gaofeng Yi

“…The majority of the existing researches are concerned with improving the accuracy and effectiveness of the recommendation algorithms, or focusing on how to limit perceived risks, with the aim of increasing consumer satisfaction. …”
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Intelligent Infrastructure for Traffic Monitoring Based on Deep Learning and Edge Computing by Jaime Villa, Franz García, Rubén Jover, Ventura Martínez, José M. Armingol

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Guideline Directed Anticoagulant Treatment and Dosing in a Contemporary Atrial Fibrillation Cohort: Analysis of the TRANSECT-AF Program by Cole Clifford, MD, Shaun G. Goodman, MD, MSc, Mary K. Tan, MSc, Jean Gregoire, MD, Jeffrey Habert, MD, Anil Gupta, MD, Walter Chow, MD, Shahin Jaffer, MD, MHSc, Sandeep G. Aggarwal, MD, Michael Heffernan, MD, Robert Maranda, MD, Kevin Saunders, MD, Andrew T. Yan, MD, Sandeep Aggarwal, Grant Campbell, Tony Ford, Allan Kelly, Michael Kroetsch, Jean-Pierre Leung, Indra Patel, Qaiser Rizvi, Matthew Wong, Andrew Wong, Jessica Chan, Kenneth Cho, Walter Chow, Daniel Ezekiel, Shahin Jaffer, Al Karmali, Parbhoobhai Lakhoo, Dante Manyari, Tun Zan Maung, Laura Ozolins, Ameet Parikh, Walter Salmaniw, Masoud Shahrokhi, Alex She, Kanwarinder Sidhu, Raymond Simkus, Felix Tam, Richard Van Gend, Jeffrey T. Wang, Jonathan Wiltshire, Felix Yang, David Yoon, Daljit Gill, David Haligowski, Yatish Kotecha, Abraham C. Mare, Pravinsagar Mehta, Sunilkumar Patel, Kevin Saunders, Gilbert Blanchard, Steve Kenney, Oluwasyo Olatunde, Gary Rideout, William Booth, Adam Clarke, Malcolm Lawrence Macneil, Vineeta Ahooja, Lina Alkasm, Edgard Arcia-Bravo, Ogunroti Ayibiowu, Basel Bari, Parvinder Bath, Rani Beharry, Rajendra Beharry, Ira Bernstein, Mukesh Bhargava, Leon Bhatia, Harry Birman, Brent Bukovy, Craig Campagna, Claudius Che, Richard Chen, Michael Cheng, Grace Chua, Kim Connelly, Michael Csanadi, Maynard Luterman, Gregory Curnew, Shyamali Damboragama, Sampa Das, Selwyn De Souza, Nicole Desmarais, Debbie Dyke, Fadia El Boreky, Sameh Fikry, Ken Florence, Omayma Fouda, Melody Fox, Gissou Ghadirian, Magdy Girgis, Steven Grossman, Anil Gupta, Nassoh Hafez, Adnan Hameed, Brian Hartford, Michael Heffernan, Terry Holman, Brendan Hughes, Harry Jim, David Josephson, Amjad Junaid, Bharat Kalra, Nikolay Kaplan, Saleem Kassam, Aubrey Kassirer, Tammy Kauffman-Schenker, Hashmat Khan, Natan Khotianov, Myung-Gi Kim, Kinga Koprowicz, Joseph Kozak, Naresh Kumar, Adel Kyrollos, Andy Lam, David Lam, Howard Lamb, Ming Jarm Lau, Doris Lee, Christina Lo, Giridhar Logsetty, Victoria Malevich, Robert Maranda, Rohit Nagpal, Farah Nasser-Sharif, Ken H. Ng, Parminder Nizran, Luis Noronha, Huma N. Numair, Paul O. Oladipo, Chris Overgaard, Derek Papastergiou, Fred Parker, Keyvan Pazuki, Murray Pearce, Sean Peterson, Mohammed Rahman, Felice Emilio Raimondo, Tim Remillard, Gerald Rockman, Howard Rudner, Roland Sabbagh, Ashraf Salib, Raymond Sawkiw, Earl Schwartz, Shiraz Shariff, Ivan Shcherbatykh, Mike Chungming Shih, Sewa Ram Singal, Sol Stern, Ravi Tahiliani, Manoj Tahiliani, Arawn Therrien, Bill Tillmann, Camelia Trambitas, Andrew Trevor, Jeff Tschirhart, Shera Vania, Elisa Venier, Vinod Verma, George Vertes, David Walley, Hany William, Amy Wong, Kevin Yoong, Derek Yung, Ines Zepic, Dean Zizzo, Harold Molyneaux, Paul Phelan, Martin Albert, Jean Champagne, Jacques Desroches, Danielle Dion, Richard Dumouchel, Carl Fournier, Mario Labbe, Germain Savard, Dan Dattani, Cecil Hammond, Andrea Lavoie, Omar Sultan

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Forested Natura 2000 sites under climate change: effects of tree species distribution shifts by A. Reichmuth, A. Reichmuth, I. Kühn, I. Kühn, I. Kühn, A. Schmidt, A. Schmidt, D. Doktor, D. Doktor, D. Doktor

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Exploring the role of mitochondrial metabolism and immune infiltration in myocardial infarction: novel insights from bioinformatics and experimental validation by Jingyi Hou, Jingyi Hou, Jingyi Hou, Lihan Wang, Lihan Wang, Naiqiang Zhu, Xueli Li

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