Impact of Hypoglycemia on Glucose Variability over Time for Individuals with Open-Source Automated Insulin Delivery Systems by Arsalan Shahid, Dana M. Lewis

“…If these patterns occur in all types of AID systems, it underscores potential opportunities for enhancements in AID algorithms and highlights the importance of educating healthcare providers and people with diabetes about post-hypoglycemia glucose variability.…”
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Prosthesis repair of oral implants based on artificial intelligenc`e finite element analysis by Yi Sun

“…Combining FEA findings with patient-specific variables, this decision support system uses machine learning algorithms educated on an extensive dataset of implant failure instances and repair results to provide the optimal repair strategy. …”
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Improving MPCitH with Preprocessing: Mask Is All You Need by Guowei Liu, Guoxiao Liu, Kaijie Jiang, Qingyuan Yu, Keting Jia, Puwen Wei, Meiqin Wang

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Cooperative Mechanism for Energy Transportation and Storage in Internet of Energy by Weigang Hou, Guoda Tian, Lei Guo, Xiaojie Wang, Xu Zhang, Zhaolong Ning

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Research on Monitoring Method of Remote Deformation and System Application Based on Image by Yu Zhang, Ruofei Zhong, Yongrong Li, Haili Sun

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Two-Level Distributed Multi-Source Information Fusion Model for Aphid Monitoring and Forecasting in the Greenhouse by Xiaoyin Li, Lixing Wang, Min Dai, Yongji Zhang, Wei Su, Mingyou Wang, Hong Miao

“…Aphids are the main agricultural pests that affect the quality and yield of peppers in the greenhouse. Efficient early prediction of aphid occurrence is of great significance for the development of digitization and information technology in intelligent agriculture. …”
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PREVALENCE OF PERIODONTAL TISSUE DISEASES IN CHILDREN WITH AUTISM by D.V. Danyliuk, I.S. Dubetska-Hrabous

“…This requires the creation of special educational programs for children with autism in order to develop algorithms for providing individualized dental care to these children. …”
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Development of Political Statistics: Conceptual Foundations for the Formation of a System of Indexes by L. Yu. Arkhangelskaya, V. N. Salin

“…The conceptual basis for structuring sections of the PS, identifying a specific subject, method and research objectives, defining a system of indexes within each section of the PS and the relationships between these modules are presented in the form of an information and logical diagram of subsystems of indexes with the definition of algorithms for their calculation and data sources for their construction.   …”
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Vulnerability of peatland fires in bengkalis regency during the ENSO El nino phase using a machine learning approach by Fauziah, Lilik B. Prasetyo, Nonon Saribanon, Nur Hayati

“…Therefore, the development of a peatland fire prediction model is necessary. This study aims to identify peatland fire vulnerability in Bengkalis Regency using burn area from MODIS 2019. …”
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A deep learning approach to real-time Markov modeling of ion channel gating by Efthymios Oikonomou, Yannick Juli, Rajkumar Reddy Kolan, Linda Kern, Thomas Gruber, Christian Alzheimer, Patrick Krauss, Andreas Maier, Tobias Huth

“…In addition, we propose a method to evaluate the goodness of a predicted model by re-simulating the prediction. Finally, we tested the algorithm with data recorded on a patch-clamp setup. …”
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Creating prognostic systems for cancer patients: A demonstration using breast cancer by Mathew T. Hueman, Huan Wang, Charles Q. Yang, Li Sheng, Donald E. Henson, Arnold M. Schwartz, Dechang Chen

“…Abstract Integrating additional prognostic factors into the tumor, lymph node, metastasis staging system improves the relative stratification of cancer patients and enhances the accuracy in planning their treatment options and predicting clinical outcomes. We describe a novel approach to build prognostic systems for cancer patients that can admit any number of prognostic factors. …”
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An Intelligent Hybrid Framework for Threat Pre-Identification and Secure Key Distribution in Zigbee-Enabled IoT Networks Using RBF and Blockchain by Bhukya Padma, Mahipal Bukya, Ujjwal Ujjwal

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Developing and validating a drug recommendation system based on tumor microenvironment and drug fingerprint by Yan Wang, Xiaoye Jin, Rui Qiu, Bo Ma, Sheng Zhang, Xuyang Song, Jinxi He

“…This study aimed to develop a personalized drug recommendation model leveraging genomic profiles to optimize therapeutic outcomes.MethodsA content-based filtering algorithm was implemented to predict drug sensitivity. …”
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Student initiative in international projects on preventive cardiology. by T. A. Khomazyuk, V. Yu. Krotova, Н. A. Kosova, M. G. Kirichko

“…Professional socialization is the ultimate link in the professional way of the individual. The algorithm of professional socialization of students in higher education consists of the following stages: professional orientation → professional development → professional adaptation → professional becoming → professional socialization. …”
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A Novel Detrended Fluctuation Analysis Method for Gear Fault Diagnosis Based on Variational Mode Decomposition by Sinian Hu, Han Xiao, Cancan Yi

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The impact of presentation modes on mental rotation processing: a comparative analysis of eye movements and performance by Philipp Stark, Efe Bozkir, Weronika Sójka, Markus Huff, Enkelejda Kasneci, Richard Göllner

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Application and Challenges of Artificial Intelligence in Different Branches of Dentistry by Ali Mirzaei, Melika Mollaei, Anahita Lotfizadeh, Mehdi Aryana, Alireza Ebrahimpour

“…Maxillofacial applications include surgical outcome prediction and pathology identification. Forensic applications facilitate age and gender determination through radiographic analysis. …”
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Correlation learning based multi-task model and its application by XU Wei, LUO Jianping, LI Xia, CAO Wenming

“…In order to solve the problem of inherent conflicts of task differences that can damage the prediction of some tasks, a multi-task learning model based on correlation learning layer (CLL) is proposed. …”
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Deep learning for sea surface temperature applications: A comprehensive bibliometric analysis and methodological approach by Redouane Larbi Boufeniza, Luo Jingjia, Kemal Adem Abdela, Karam Alsafadi, Mohammad M Alsahli

“…Moreover, the long short‐term memory (LSTM) algorithm was the predominant computational deep learning algorithm extensively used in this specific context. …”
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Comprehensive evaluation of phosphoproteomic-based kinase activity inference by Sophia Müller-Dott, Eric J. Jaehnig, Khoi Pham Munchic, Wen Jiang, Tomer M. Yaron-Barir, Sara R. Savage, Martin Garrido-Rodriguez, Jared L. Johnson, Alessandro Lussana, Evangelia Petsalaki, Jonathan T. Lei, Aurelien Dugourd, Karsten Krug, Lewis C. Cantley, D. R. Mani, Bing Zhang, Julio Saez-Rodriguez

“…We used benchmarKIN to evaluate kinase-substrate libraries, inference algorithms and the potential of adding predicted kinase-substrate interactions to overcome the coverage limitations. …”
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