A Review of Integrated Optimization Method of Batch Planning and Scheduling for Steelmaking-Continuous Casting-Hot Rolling Production Under Uncertain Environment Based on Lagrangia... by Liangliang Sun, Xirang Hao, Yunpeng Li, Jinghan Xue, Natalia M. Matsveichuk, Yuri N. Sotskov, Qichun Zhang

“…Considering the uncertain environment and the integration of SM-CC-HR, this paper summarizes the research status of previous scholars from three aspects: mathematical modeling, model optimization, and algorithm optimization based on the Lagrangian framework. …”
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C-privacy: A social relationship-driven image customization sharing method in cyber-physical networks by Dapeng Wu, Jian Liu, Yangliang Wan, Zhigang Yang, Ruyan Wang, Xinqi Lin

“…With the increasing popularity of digital photography and Internet technology, more and more users are sharing images on CPN. However, many images are shared without any privacy processing, exposing hidden privacy risks and making sensitive content easily accessible to Artificial Intelligence(AI) algorithms. …”
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Livestock production losses attributable to brucellosis in northern and central Tanzania: Application of an epidemiological-economic modelling framework. by Ângelo J F Mendes, Daniel T Haydon, William A de Glanville, Rebecca F Bodenham, AbdulHamid S Lukambagire, Paul C D Johnson, Gabriel M Shirima, Sarah Cleaveland, Emma McIntosh, Nick Hanley, Jo E B Halliday

“…Livestock brucellosis is an endemic disease in many low-resource settings. Despite its widespread distribution, little is known about the scale of economic impacts caused by the disease. …”
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BSG-WSL: BackScatter-guided weakly supervised learning for water mapping in SAR images by Kai Wang, Zhongle Ren, Biao Hou, Weibin Li, Licheng Jiao

“…Then, a morphological pseudo-label optimization algorithm is designed to employ CAMs to generate high-quality pseudo-labels. …”
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Application of the LDA model to identify topics in telemedicine conversations on the X social network by Mario Sierra Martín, Fang-Wei Chen, Pilar Alarcón Urbistondo

“…Abstract The evolution experienced by global society, in the post-COVID 19 era, is marked by the quite obligatory use of digital media in many sectors, as is the case for the health sector. …”
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Surgical treatment of patient with secondary partly absence of the teeth on the background of disturbances of bone mineral metabolism with dental implants by E. Yu. Diachkova, S. V. Tarasenko, Do Phan Ngoc Minh, M. R. Fomin, A. Y. Shepetina, V. A. Grachev, M. M. Ternov

“…The problem of restoring dentition remains relevant for many years. During last 30-40 years dental implants have been actively used for dentition rehabilitation of patients with partial secondary absence of teeth. …”
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A Novel Smart Molecular Fuzzy Decision Support System for Solid-State Battery Investments in Grid-Level Renewable Energy Storage by Gang Kou, Hasan Dincer, Serhat Yuksel, Edanur Ergun, Serkan Eti

“…It is very necessary to determine the most critical indicators to improve the performance of solid-state battery investments. Although there are many factors affecting these investments in the literature, there is no consensus on the most important factors. …”
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Learning Gaussian graphical models from correlated data by Zeyuan Song, Zeyuan Song, Sophia Gunn, Stefano Monti, Stefano Monti, Gina M. Peloso, Ching-Ti Liu, Kathryn Lunetta, Paola Sebastiani, Paola Sebastiani, Paola Sebastiani

“…In this paper, we propose a cluster-based bootstrap algorithm to infer GGMs from correlated data. We use extensive simulations of correlated data from family-based studies to show that the proposed bootstrap method does not inflate the Type I error while retaining statistical power compared to alternative solutions when there are sufficient number of clusters. …”
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Identifying characteristics of patients requiring proactive pharmaceutical interventions in the recovery period and assessing the effect of rehabilitation and drugs: a retrospectiv... by Megumi Yahara-Hotta, Tomoyuki Ogino, Kisako Higa, Moka Yamakawa, Toshiyuki Shikata, Yoshihiro Kanata, Kenji Ikeda, Atsushi Kinoshita

“…Abstract Background The aging of the population in many countries has made rehabilitation an essential part of improving the quality of life of older individuals. …”
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An exploratory analysis of longitudinal artificial intelligence for cognitive fatigue detection using neurophysiological based biosignal data by Sameer Nooh, Mahmoud Ragab, Rania Aboalela, Abdullah AL-Malaise AL-Ghamdi, Omar A. Abdulkader, Ghadah Alghamdi

“…Furthermore, the binary olympiad optimization algorithm (BOOA)-based feature selection is utilized to extract the most informative features, reducing the data dimensionality. …”
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Machine learning reveals the dynamic importance of accessory sequences for Salmonella outbreak clustering by Chao Chun Liu, William W. L. Hsiao

“…However, due to the transient and hypervariable nature of many accessory elements, the value of the added resolution in outbreak investigations remains disputed. …”
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Artificial Intelligence in Orthopedic Medical Education: A Comprehensive Review of Emerging Technologies and Their Applications by Kyle Sporn, Rahul Kumar, Phani Paladugu, Joshua Ong, Tejas Sekhar, Swapna Vaja, Tamer Hage, Ethan Waisberg, Chirag Gowda, Ram Jagadeesan, Nasif Zaman, Alireza Tavakkoli

“…However, we still face many barriers that relate to standardizing data, algorithm evaluation, ethics, and the curriculum. …”
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ZenLDA: Large-Scale Topic Model Training on Distributed Data-Parallel Platform by Bo Zhao, Hucheng Zhou, Guoqiang Li, Yihua Huang

“…Recently, topic models such as Latent Dirichlet Allocation (LDA) have been widely used in large-scale web mining. Many large-scale LDA training systems have been developed, which usually prefer a customized design from top to bottom with sophisticated synchronization support. …”
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PROJECT METHOD IN STEM EDUCATION USING ARDUINO SOFTWARE AND HARDWARE PLATFORM by Олексій Воронкін, Сергій Лущин

“…A generalized description of the main structural elements of the Arduino Uno board is given. A typical algorithm for familiarizing yourself with the operation of the Arduino board is formulated. …”
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Daily Automated Prediction of Delirium Risk in Hospitalized Patients: Model Development and Validation by Kendrick Matthew Shaw, Yu-Ping Shao, Manohar Ghanta, Valdery Moura Junior, Eyal Y Kimchi, Timothy T Houle, Oluwaseun Akeju, Michael Brandon Westover

“…Despite this, delirium is underdiagnosed, and many institutions do not have sufficient resources to consistently apply effective screening and prevention. …”
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Macromicroscopic Method for Vitreous Body Anatomy Studying by N. M. Kislitsyna, A. V. Shatskikh, S. M. Dibirova, D. M. Sultanova, M. P. Veselkova, S. V. Novikov

“…Macroscopic examination was performed using a Topcon OMS-800 operating microscope with a magnification of ×8 to ×21, microscopic changes were evaluated by light microscopy at ×50, ×100, ×200, ×400, ×630 multiple magnification with Leica DM LB2 microscope followed by photographic recording. The algorithm for macroscopic examination performing.Results and discussion. …”
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Comparison of three-dimensional tooth movements in virtual setups using different software packages for clear aligner therapy by Farah Y. Eid, Waddah Sabouni, Abbas Zaher, Mostafa A. Tageldin, Dina Elfouly

“…This deviation arises since every software operates using a distinct algorithm, with a different segmentation method and rotation center for the moving teeth.…”
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A Gradient Boosting Crash Prediction Approach for Highway-Rail Grade Crossing Crash Analysis by Pan Lu, Zijian Zheng, Yihao Ren, Xiaoyi Zhou, Amin Keramati, Denver Tolliver, Ying Huang

“…The gradient boosting (GB) model has gained popularity in many research areas. In this study, to fully understand the model performance on HRGC accident prediction performance, the GB model with functional gradient descent algorithm is selected to analyze crashes at highway-rail grade crossings (HRGCs) and to identify contributor factors. …”
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Framework for Personalizing Wearable Devices Using Real-Time Physiological Measures by Prakyath Kantharaju, Sai Siddarth Vakacherla, Michael Jacobson, Hyeongkeun Jeong, Meet Nikunj Mevada, Xingyuan Zhou, Matthew J. Major, Myunghee Kim

“…This modular framework includes cost functions and optimization algorithms that use a physiological response to optimize wearable robot parameters. …”
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Exploration of Potential Roles of a New LOXL2 Splicing Variant Using Network Knowledge in Esophageal Squamous Cell Carcinoma by Bing-Li Wu, Guo-Qing Lv, Hai-Ying Zou, Ze-Peng Du, Jian-Yi Wu, Pi-Xian Zhang, Li-Yan Xu, En-Min Li

“…The DEGs of LOXL2-e13, comparing to its wild type, were prioritized by the Random Walk with Restart algorithm. Several tumor-related genes such as ERO1L, ITGA3, and MAPK8 were found closest to LOXL2-e13. …”
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