TempODEGraphNet: predicting user churn using dynamic social graphs and neural ODEs. by Minseop Lee, Jiyoung Woo

“…Experimental results reveal that the proposed model achieves a higher F1 score compared with conventional algorithms and static graph models. Dynamic graphs more accurately reflect changes in user behavior compared with static graphs, particularly in domains with active interactions such as massively multiplayer online role-playing games. …”
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Supervisor Reconfiguration for Deadlock Prevention by Resources Reallocation by Miao Liu, Shouguang Wang, Zhiwu Li

“…Analysis and control of deadlocks play an important role in the design and operation of automated flexible manufacturing systems (FMSs). …”
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Component-Element Composition of National Economy Forecasting and Planning Methodology by Yu. I. Busheneva

“…The methodology and its components play a crucial role in forming the necessary basis for forecasting and planning the national economy. …”
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Research and analysis of differential gene expression in CD34 hematopoietic stem cells in myelodysplastic syndromes. by Min-Xiao Wang, Chang-Sheng Liao, Xue-Qin Wei, Yu-Qin Xie, Peng-Fei Han, Yan-Hui Yu

“…After comprehensive evaluation, we ultimately selected three algorithms-Lasso regression, random forest, and support vector machine (SVM)-as our core predictive models. …”
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Identification of subtypes and biomarkers associated with disulfidptosis-related ferroptosis in ulcerative colitis by Yinghao Jiang, Hongyan Meng, Xin Zhang, Jinguang Yang, Chengxin Sun, Xiaoyan Wang

“…Next, the hub genes were identified by differential analysis and WGCNA algorithms, and three machine learning algorithms were used to screen biomarkers for UC from hub genes. …”
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Using New Technologies to Analyze Gut Microbiota and Predict Cancer Risk by Mohammad Amin Hemmati, Marzieh Monemi, Shima Asli, Sina Mohammadi, Behina Foroozanmehr, Dariush Haghmorad, Valentyn Oksenych, Majid Eslami

“…Early detection is made easier by machine learning algorithms that improve the categorization of cancer kinds based on microbiological data. …”
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Livestock Biometrics Identification Using Computer Vision Approaches: A Review by Hua Meng, Lina Zhang, Fan Yang, Lan Hai, Yuxing Wei, Lin Zhu, Jue Zhang

“…This paper aims to comprehensively survey the techniques for individual livestock identification based on computer vision methods. It begins by elucidating the uniqueness of the primary biometric features of livestock, such as facial features, and their critical role in the recognition process. …”
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The Rise of Influencer Practices Among Psychologists: From Therapy Rooms to Instagram Reels by Burçin Sarı

“…Based on these findings, we contend that influencer creep not only alters individual professional practices but also reconfigures the profession itself through four interrelated changes: (a) the expansion of audiences, shifting from small-scale, localized clients to large, mass followings; (b) the redefinition of traditional markers of expertise, where institutional credentials are increasingly replaced by platform-driven metrics; (c) the alteration of traditional gatekeeping structures, as algorithmic systems take on a more prominent role in determining professional recognition and influence; and (d) requiring a new set of skills such as content creation and algorithmic proficiency, often overshadowing conventional professional competencies.…”
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Identification and analysis of pyroptosis-related key genes in heart failure by Jing Zhang, Zhijie Yue, Na Zhu, Na Zhao

“…Further, the key genes were screened based on machine learning algorithms. Furthermore, immune infiltration analysis and mRNA–Transcription factor (TF)/drug regulatory networks construction were implemented. …”
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Leveraging machine learning to identify determinants of zero utilization of maternal continuum of care in Ethiopia: Insights from SHAP analysis and the 2019 mini DHS. by Shimels Derso Kebede, Agmasie Damtew Walle, Daniel Niguse Mamo, Ermias Bekele Enyew, Jibril Bashir Adem, Meron Asmamaw Alemayehu

“…The dataset was preprocessed and modeled using various machine learning algorithms through the PyCaret library, with lightGBM emerging as the best model after various models trained and evaluated based on classification performance metrics. …”
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AFQSeg: An Adaptive Feature Quantization Network for Instance-Level Surface Crack Segmentation by Shaoliang Fang, Lu Lu, Zhu Lin, Zhanyu Yang, Shaosheng Wang

“…Concrete surface crack detection plays a crucial role in infrastructure maintenance and safety. Deep learning-based methods have shown great potential in this task. …”
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Fostemsavir resistance in clinical context: a narrative review by Jonathan M. Schapiro, Rolf Kaiser, Mark Krystal, Chris M. Parry, Allan R. Tenorio, Eugene Stewart, Bruce Gilliam, Margaret Gartland, Andrew Clark, Jose R. Castillo-Mancilla

“…Due to these factors and limited phenotypic clinical data, thus far, no relevant phenotypic cutoff or genotypic algorithms have been derived that reliably predict response to fostemsavir-based therapy in individuals who are HTE; therefore, pre-treatment temsavir resistance testing may be of limited benefit. …”
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Telemedicine Screening for Diabetic Retinopathy Using Digital Technology: Foreign Experience by D. A. Andreev, N. N. Kamynina

“…Deep machine learning algorithms and other artificial intelligence-based approaches demonstrate excellent results. …”
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An Overview of Deep Learning Applications in Groundwater Level Modeling: Bridging the Gap between Academic Research and Industry Applications by Ahmed Shakir Ali Ali, Farhad Jazaei, Peyman Babakhani, Muhammad Masood Ashiq, Alireza Bakhshaee, Brian Waldron

“…DL models utilize complex algorithms to identify patterns that may be difficult to observe with traditional physics-based models, specifically where the underlying physics is complex or poorly understood or where the available physical model is too simple. …”
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Integrated analysis unraveling the immunologic and clinical prognostic values of synaptotagmin like 4 in pan-cancer by Yuehan Ren, Xiangbin Wu, Jinlei Li, Zhenhua Zhou, Shichang Ni, Jianhui Cai

“…Biological roles of SYTL4 in pan-cancer were explored by GSEA. …”
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Research progress on shale gas productivity evaluation: concepts, methods and future directions by ZHU Suyang, PENG Zhen, DI Yunting, PENG Xiaolong, LIU Dongchen, GUAN Wenjie

“…Therefore, accurate and reasonable productivity evaluation plays a key role in ensuring stable reservoir development. To identify the challenges of current shale gas productivity evaluation approaches and explore feasible solutions, this study analyzed the unique connotation of shale gas productivity and reviewed recent progress in three approaches: (1) Analytical solution methods of flow equations; (2) numerical simulation methods of flow equations; and (3) artificial intelligence (AI)-based methods. …”
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Analysis of the Current State of Digitalization İmplementation in the Banking System of Azerbaijan by K. N. Atayev

“…Government-level programs, along with regulatory legal frameworks and strategic initiatives implemented by the Central Bank of Azerbaijan, have played a significant supportive role in advancing this direction.…”
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HUMAN RIGHTS: PHILOSOPHICAL AND LEGAL ANALYSIS by ALBOV A.P.

“…Given that all doctrines note the importance of these rights for the formation of the political climate and quality of life, and their violation inevitably leads either to the stagnation of political life in the state, or is a prerequisite for the formation of destructive movements of various kinds; that therefore human rights, along with other socio-political algorithms, can claim the leading role in the formation of legal policy both within the state itself and in international relations; however, this does not mean that these rights can be considered unconditional and absolute, they directly depend on the various cultural, religious, moral values of a particular society, and that therefore they can be defined rather as a kind of sustainable agreement.…”
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Mapping the landscape of Artificial intelligence for serious games in Health: An enhanced meta review by Xiya Tao, Nicolás Sáenz-Lechón, Martina Eckert

“…Our proposal categorises the algorithms based on their role in the game environment, which can either be game control or user assessment. …”
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Integrative machine learning model of RNA modifications predict prognosis and treatment response in patients with breast cancer by Tao Wang, Shu Wang, Zhuolin Li, Jie Xie, Qi Jia, Jing Hou

“…Methods We retrospectively analyzed 15 independent breast cancer cohorts to explore the role of RNA modifications in the prognosis of patients with breast cancer. …”
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