Detecting cognitive motor dissociation by functional near-infrared spectroscopy by Yan Wang, Yan Wang, Yan Wang, Wentao Zeng, Wentao Zeng, Wentao Zeng, Leyao Zou, Leyao Zou, Leyao Zou, Qijun Wang, Bingkai Ren, Bingkai Ren, Bingkai Ren, Qi Xiong, Yang Bai, Yang Bai, Yang Bai, Zhen Feng, Zhen Feng, Zhen Feng

“…The support vector machine combined with genetic algorithm was employed to classify and predict the brain's response to spoken commands and to identify CMD patients among prolonged DOC individuals.ResultsWe identified seven CMD patients using fNIRS, of whom four were in VS/UWS and three were in MCS–. …”
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Diagnostic performance of actigraphy in Alzheimer’s disease using a machine learning classifier – a cross-sectional memory clinic study by Mathias Holsey Gramkow, Andreas Brink-Kjær, Frederikke Kragh Clemmensen, Nikolai Sulkjær Sjælland, Gunhild Waldemar, Poul Jennum, Steen Gregers Hasselbalch, Kristian Steen Frederiksen

“…We evaluated the performance of our classifier by assessing the accuracy and precision of predictions. Results We found that movement patterns as well as the robustness and fragmentation of the circadian rhythm differed significantly between groups. …”
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Artificial intelligence enhanced electrochemical immunoassay for staphylococcal enterotoxin B by Yuliang Zhao, Tingting Sun, Huawei Zhang, Chao Lian, Zhongpeng Zhao, Yongqiang Jiang, Huiqi Duan, Yuhao Ren, Xuyang Sun, Zhikun Zhan, Mingyue Qu, Shaolong Chen

“…Lastly, a multivariate linear regression algorithm is employed to effectively train and fit the extracted feature data. …”
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Exploration of metastasis-related signatures in osteosarcoma based on tumor microenvironment by integrated bioinformatic analysis by Shiyao Liao, Xing Gao, Kai Zhou, Yao Kang, Lichen Ji, Xugang Zhong, Jun Lv

“…Conclusion: We identified three principal genes as promising signatures for predicting the survival the prognosis of OS patients. …”
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Pork-YOLO: Automated collection of pork quality traits by Jiacheng Wei, Xi Tang, Jinxiu Liu, Ting Luo, Yan Wu, Junhui Duan, Shijun Xiao, Zhiyan Zhang

“…For marbling scoring, an image classification task yielded an average accuracy of 98.9 %, with a strong correlation (R2 = 0.999) between predicted and actual values. This study presents an innovative method for rapid automated assessment of pork quality traits, offering valuable insights for future phenotypic measurement automation.…”
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Using Machine Learning and Feature Importance to Identify Risk Factors for Mortality in Pediatric Heart Surgery by Lorenz A. Kapsner, Manuel Feißt, Ariawan Purbojo, Hans-Ulrich Prokosch, Thomas Ganslandt, Sven Dittrich, Jonathan M. Mang, Wolfgang Wällisch

“…All models were then applied to predict the outcome in an independent holdout test dataset (40% of the cohort). …”
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Neural network training to support decision making ON FOREX MARKET by V. A. Rybak, H. M. Sulaiman

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Measurement Error Estimation Method of Field Service Electricity Energy Meters under the Condition of Big Data by DAI Yan-jie, DONG Xian-guang, LIU Ya-qi, LIANG Ya-jie, LIU Xiao, QI Jia, SUN Yong-quan

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CHARACTERISTICS OF THE NOISE STABILITY OF RADIO COMMUNICATION SYSTEMS WITH FREQUENSY HOPING by I. I. Skib, A. V. Martsinovich, E. L. Kreidik, V. A. Cherdyntsev

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New design paradigm for federated edge learning towards 6G:task-oriented resource management strategies by Zhiqin WANG, Jiamo JIANG, Peixi LIU, Xiaowen CAO, Yang LI, Kaifeng HAN, Ying DU, Guangxu ZHU

“…In addition, the proposed single-device scheduling algorithm is also extended to multi-device scheduling scenarios. …”
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Optimal by criterion of minimum of average risk adaptive device for decision meaning considering correlation properties of the reflected signal by S. A. Gabets, S. U. Sedushev, R. A. Hutsau

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Protection of confidentiality of medical data PATIENTS by A. A. Givojno, V. N. Rostovtsev

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Identification of Perceptual Phonetic Training Gains in a Second Language Through Deep Learning by Georgios P. Georgiou

“…This study addresses this gap by developing a deep learning algorithm designed to identify perceptual gains resulting from second language (L2) phonetic training. …”
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Cystinosis symposium: a rare disease model for comprehensive care by Ashley M. Gefen, Frederick J. Kaskel, Frederick J. Kaskel, Joshua J. Zaritsky

“…This conference was one of the first to address the glaring deficiencies in the care of children and adults with cystinosis by focusing on themes that are mutually applicable to multidisciplinary healthcare providers, educators, and families. The ultimate goal was to disseminate new information and awareness to all engaged in the cystinosis community and provide an algorithm to navigate more effectively the promising future toward a cure.…”
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Image Target Detection and Recognition Method Using Deep Learning by Hongyan Sun

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Statistical Analysis of the Model Parameters of the Epidemic Situation by Yu. B. Grishunina, N. A. Kontarov, G. V. Arkharova, N. V. Yuminova

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USE OF MODERN INFORMATION TECHNOLOGIES TO ENSURE THE COMPETITIVENESS OF REGIONS IN THE CONTEXT OF DECENTRALIZATION OF POWER by Lev Kloba, Solomiya Kloba

“…The main advantages of automation of the educational process in Amalgamated hromada schools are investigated. …”
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Modeling circadian variability of core-clock and clock-controlled genes in four tissues of the rat. by Panteleimon D Mavroudis, Debra C DuBois, Richard R Almon, William J Jusko

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Application and Optimization of neural networks for decision support ON EXCHANGE MARKET

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IMPROVEMENT OF MACRO-ANALYSIS OF THE EXTERNAL ENVIRONMENT FOR THE COMPANY by L. V. Lapitskaya, A. V. Lapitskiy

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