Prediction of successful weaning from renal replacement therapy in critically ill patients based on machine learning by Qiqiang Liang, Xin Xu, Shuo Ding, Jin Wu, Man Huang

“…Multiple logistic regression (MLR) and machine learning algorithms were adopted to construct the prediction models.Results A total of 976 patients were included, with 349 patients successfully weaned off RRT. …”
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Development and validation of an explainable machine learning prediction model of hemorrhagic transformation after intravenous thrombolysis in stroke by Yanan Lin, Yan Li, Yayin Luo, Jie Han

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Analysis of spatio-temporal fungal growth dynamics under different environmental conditions by Liselotte De Ligne, Guillermo Vidal-Diez de Ulzurrun, Jan M. Baetens, Jan Van den Bulcke, Joris Van Acker, Bernard De Baets

“…Abstract Traditionally, fungal growth dynamics were assessed manually, limiting the research to a few environmental conditions and/or fungal species. …”
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HUMAN RIGHTS: PHILOSOPHICAL AND LEGAL ANALYSIS by ALBOV A.P.

“…The study is based on the dialectical method, which is a system of interrelated principles that allows you to find a certain logic in the development of the subject of research based on its self-development, which made it possible to identify the most important features and methodologies of various scientific schools; the principle of ascent from the general to the particular was used, and vice versa, which made it possible, starting from single facts, to make conclusions leading to certain generalizations. …”
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A deep contrastive learning-based image retrieval system for automatic detection of infectious cattle diseases by Veerayuth Kittichai, Morakot Kaewthamasorn, Apinya Arnuphaprasert, Rangsan Jomtarak, Kaung Myat Naing, Teerawat Tongloy, Santhad Chuwongin, Siridech Boonsang

“…The image retrieval technique demonstrated in this research is a prototype for a variety of applications. …”
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Decentralized energy trading in smart grid using secured post quantum encryption by S. Sofana Reka, Anantharaman Prasad, Prakash Venugopal, Fawaaz Sammil, Visakh Pradeep, Swaroop S Kaimal, Manoj Kumar Rajagopal

“…We explore post-quantum cryptographic techniques, particularly lattice-based algorithms due to its compact signature sizes and strong security capability for the future-proof blockchain enabled smart grids. …”
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Monitoring the antibiotic resistance in the intensive care unit of a multidisciplinary hospital by V. Yu. Zemko, V. K. Okulich, A. M. Dzyadz’ko

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Mental health promotion in disasters: exploring the synergy of artificial intelligence, spirituality, and psychology: a SWOT analysis by Rasoul Fattahipour, Simintaj Sharififar, Fatemeh Teymouri, Maryam Azizi, Milad Ahmadi Marzaleh

“…In contrast, threats such as data privacy risks, algorithmic biases, and ethical concerns around informed consent and over-standardization of care are also addressed. …”
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Artificial intelligence for difficult airway assessment: a protocol for a systematic review with meta-analysis by Dan Liu, Tingting Li, Li Du, Jianqiao Zheng, Yujie Huang, Weiyi Zhang

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Assessment of sensor driven automatic smart soil and paddy seed metering mechanisms using artificial intelligence for paddy nurseries by Vinod Choudhary, Rajendra Machavaram, Prakhar Patidar, Gajendra Singh, Naseeb Singh, Lokesh Kumawat

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MORPHOLOGICAL VARIABILITY OF LEAVES OF ACER NEGUNDO L. POPULATIONS IN THE ALTITUDINAL GRADIENT OF THE NORTH-WEST CAUCASUS (REPUBLIC OF ADYGEA) by Evgenia M. Ednich, Irina V. Chernyavskaya, Tatyana N. Tolstikova, Mariet N. Khagur, Marat V. Aliev

“…Four populations of the invasive species A. negundo, growing in the Republic of Adygea territory (North-West Caucasus) at a height of 120 to 600 metres above sea level were the research material. Morphological features of the leaf (maximum length of the leaf blade, maximum width, angle between the central and lateral vein of the upper leaf) were measured with a caliper with an accuracy of ± 0.01 mm and a protractor with an accuracy of 1°; leaf thickness – by a Turgoromer-1 device with a measuring head of the TN10-60T system; leaf area calculation – using algorithms in Python 3.1. …”
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Practical applications of methods to incorporate patient preferences into medical decision models: a scoping review by Jakub Fusiak, Kousha Sarpari, Inger Ma, Ulrich Mansmann, Verena S. Hoffmann

“…Abstract Background Algorithms and models increasingly support clinical and shared decision-making. …”
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A Combined Deep Learning Method with Attention-Based LSTM Model for Short-Term Traffic Speed Forecasting by Pan Wu, Zilin Huang, Yuzhuang Pian, Lunhui Xu, Jinlong Li, Kaixun Chen

“…Short-term traffic speed prediction is a promising research topic in intelligent transportation systems (ITSs), which also plays an important role in the real-time decision-making of traffic control and guidance systems. …”
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AI-Powered IoT: A Survey on Integrating Artificial Intelligence With IoT for Enhanced Security, Efficiency, and Smart Applications by Vivek Menon U, Vinoth Babu Kumaravelu, Vinoth Kumar C, Rammohan A, Sunil Chinnadurai, Rajeshkumar Venkatesan, Han Hai, Poongundran Selvaprabhu

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Flow Characteristics by Blood Speckle Imaging in Non-Stenotic Congenital Aortic Root Disease Surrounding Valve-Preserving Operations by Shihao Liu, Justin T. Tretter, Lama Dakik, Hani K. Najm, Debkalpa Goswami, Jennifer K. Ryan, Elias Sundström

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Activated TBK1 promotes ACSL1-mediated microglia lipid droplet accumulation and neuroinflammation in Parkinson’s disease by Chunlei Han, Huizhi Wang, Moxuan Zhang, Liuliu Wu, Anni Wang, Pengda Yang, Yuan Gao, Chaonan Zhang, Jianing Gao, Tao Xue, Tingting Du, Yucheng Ji, Lin Shi, Chunkui Zhang, Renpeng Li, Yilei Xiao, Jianguo Zhang, Fangang Meng

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Genetic analysis of non-syndromic peg lateralis using whole-exome sequencing by Junglim Choi, Junglim Choi, Sungnam Kim, Hyunsoo Ahn, Donghyo Kim, Sung-Won Cho, Sanguk Kim, Sanguk Kim, Sanguk Kim, Jae Hoon Lee

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Exploring high entropy alloys: A review on thermodynamic design and computational modeling strategies for advanced materials applications by Peter Ifeolu Odetola, Bukola Joseph Babalola, Ayodeji Ebenezer Afolabi, Ufoma Silas Anamu, Emmanuel Olorundaisi, Mutombo Christian Umba, Thabang Phahlane, Olusoji Oluremi Ayodele, Peter Apata Olubambi

“…This review not only charts a course for the rational design of HEAs, but also envisages their role in advancing material science towards novel applications, urging a concerted effort to overcome existing hurdles and explore uncharted territories in HEA research.…”
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Non‐Invasive Diagnosis of Moyamoya Disease Using Serum Metabolic Fingerprints and Machine Learning by Ruiyuan Weng, Yudian Xu, Xinjie Gao, Linlin Cao, Jiabin Su, Heng Yang, He Li, Chenhuan Ding, Jun Pu, Meng Zhang, Jiheng Hao, Wei Xu, Wei Ni, Kun Qian, Yuxiang Gu

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Beam Scanning with Ultra‐Low Sidelobes and In‐Band Ultra‐Low Scattering Characteristics Empowered by Single Space‐Time‐Coding Radiation‐Scattering Metasurface by Lixin Jiang, Yongfeng Li, Hao Yang, Mingbao Yan, Jinming Jiang, Yunwei Zhang, Zhe Qin, Wanwan Yang, Hongya Chen, Yongqiang Pang, Zhihao Guo, Lin Zheng, Jiafu Wang, Shaobo Qu

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