MAST Kinases’ Function and Regulation: Insights from Structural Modeling and Disease Mutations by Michael C. Lemke, Nithin R. Avala, Michael T. Rader, Stefan R. Hargett, Daniel S. Lank, Brandon D. Seltzer, Thurl E. Harris

“…We set out to describe the origins and diversification of MAST kinases from a structural and bioinformatic perspective to inform future research directions. <b>Methods</b>: We investigated MAST-lineage kinases using database and sequence analysis. …”
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The application of statistical methods to assess economic assets by D. V. Dianov

“…A particular problem is the use of a digital database of Rosstat (Federal State Statistics Service), as to the specific fixed assets the comparison should be carried out precisely in the boundary of the typological group to which the object is identified.The rationale for the comprehensive application of statistical methods in the implementation of cost and comparative approaches in the assessment of economic assets, practical component, are a primary result of scientific research. …”
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Artificial intelligence driven mental health diagnosis based on physiological signals by P.R. Naregalkar, A.A. Shinde, M.V. Patil

“…The machine learning algorithms, like Decision tree and kernel support vector machine, are employed for dope classification tasks. …”
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Role of Roadside Units in Cluster Head Election and Coverage Maximization for Vehicle Emergency Services by Ravneet Kaur, Robin Doss, Lei Pan, Chaitanya Singla, Selvarajah Thuseethan

“…Efficient clustering algorithms are critical for enabling the timely dissemination of emergency messages across maximum coverage areas in vehicular networks. …”
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Vision-Based Navigation and Perception for Autonomous Robots: Sensors, SLAM, Control Strategies, and Cross-Domain Applications—A Review by Eder A. Rodríguez-Martínez, Wendy Flores-Fuentes, Farouk Achakir, Oleg Sergiyenko, Fabian N. Murrieta-Rico

“…By providing a unified taxonomy, a comparative analysis, and engineering guidelines, this review aims to inform researchers and practitioners designing robust, scalable, vision-driven robotic systems.…”
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Human-Annotated Label Noise and Their Impact on ConvNets for Remote Sensing Image Scene Classification by Longkang Peng, Tao Wei, Xuehong Chen, Xiaobei Chen, Rui Sun, Luoma Wan, Jin Chen, Xiaolin Zhu

“…Additionally, the label noise estimation algorithm (confident learning) cannot fully identify label noise. …”
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Risk factors and an interpretability tool of in-hospital mortality in critically ill patients with acute myocardial infarction by Rui Yang, Tao Huang, Renqi Yao, Di Wang, Yang Hu, Longbing Ren, Shaojie Li, Yali Zhao, Zhijun Dai

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Deep learning image reconstruction and adaptive statistical iterative reconstruction on coronary artery calcium scoring in high risk population for coronary heart disease by Lijuan Zhu, Xiaomeng Shi, Lusong Tang, Haruhiko Machida, Lili Yang, Meixiang Ma, Ruoshui Ha, Yun Shen, Fang Wang, Dazhi Chen

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GROG Facilitated Compressed Sensing for Radial MRI by Yumna Bilal, Ibtisam Aslam, Muhammad Faisal Siddiqui, Omair Inam, Kashif Amjad, Jawad Hasan Alkhateeb, Hammad Omer

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Age and sex specific thresholds for risk stratification of cardiovascular disease and clinical decision making: prospective open cohort study by Matthew Sperrin, Angela M Wood, Lois Kim, Zhe Xu, Emanuele Di Angelantonio, Stephen Kaptoge, Juliet Usher-Smith, Matthew Arnold, Lisa Pennells, Ryan Chung

“…Objective To quantify the potential advantages of using 10 year risk prediction models for cardiovascular disease, in combination with risk thresholds specific to both age and sex, to identify individuals at high risk of cardiovascular disease for allocation of statin treatment.Design Prospective open cohort study.Setting Primary care data from the UK Clinical Practice Research Datalink GOLD, linked with hospital admissions from Hospital Episode Statistics and national mortality records from the Office for National Statistics in England, 1 January 2006 to 31 May 2019.Participants 1 046 736 individuals (aged 40-85 years) with no cardiovascular disease, diabetes, or a history of statin treatment at baseline using data from electronic health records.Main outcome measures 10 year risk of cardiovascular disease, calculated with version 2 of the QRISK cardiovascular disease risk algorithm (QRISK2), with two main strategies to identify individuals at high risk: in strategy A, estimated risk was a fixed cut-off value of ≥10% (ie, as per the UK National Institute for Health and Care Excellence guidelines); in strategy B, estimated risk was ≥10% or ≥90th centile of age and sex specific risk distributions.Results Compared with strategy A, strategy B stratified 20 241 (149.8%) more women aged ≤53 years and 9832 (150.2%) more men aged ≤47 years as having a high risk of cardiovascular disease; for all other ages the strategies were the same. …”
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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

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Enhancing heat transfer in compound twisted square ducts using shortened twisted tape inserts by Chithra V P, Balaji Bakthavatchalam, V. Jayakumar, Sambhaji Kusekar, A.K. Pandey, Khairul Habib, Salem Algarni, Talal Alqahtani

“…This research offers insights into optimizing heat exchanger design using twisted square ducts. …”
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Feature extraction using sparse component decomposition for face classification by Hamid Reza Shahdoosti

“…The proposed algorithm has two steps.In the first step, the common information of the data matrix is extracted in a low rank matrix. …”
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Sequence-structure based prediction of pathogenicity for amino acid substitutions in proteins associated with primary immunodeficiencies by Ekaterina S. Porfireva, Anton D. Zadorozhny, Anastasia V. Rudik, Dmitry A. Filimonov, Alexey A. Lagunin, Alexey A. Lagunin

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Large-Scale Monitoring of Potatoes Late Blight Using Multi-Source Time-Series Data and Google Earth Engine by Zelong Chi, Hong Chen, Sheng Chang, Zhao-Liang Li, Lingling Ma, Tongle Hu, Kaipeng Xu, Zhenjie Zhao

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Development of a machine learning-based prediction model for extremely rapid decline in estimated glomerular filtration rate in patients with chronic kidney disease: a retrospectiv... by Shingo Fukuma, Yukio Yuzawa, Daijo Inaguma, Hiroki Hayashi, Ryosuke Yanagiya, Akira Koseki, Toshiya Iwamori, Michiharu Kudo

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Structure design and optimization of jumping mechanisms based on velocity manipulability by LI Chenjiarui, HOU Yu, SUN Wei, XU Yantao, WANG Zhongxuan

“…The concept of velocity manipulability was introduced as a metric to assess the speed transfer performance of the mechanism, and a particle swarm optimization algorithm was employed for the mechanism optimization.ResultsThe results show that the optimized mechanism exhibits a 21.76% increase in the jumping velocity compared to its pre-optimized state. …”
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Quantifying Uncertainties in Solar Wind Forecasting due to Incomplete Solar Magnetic Field Information by Stephan G. Heinemann, Jens Pomoell, Ronald M. Caplan, Mathew J. Owens, Shaela Jones, Lisa Upton, Bibhuti Kumar Jha, Charles N. Arge

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Early prediction of preeclampsia from clinical, multi-omics and laboratory data using random forest model by Qiang Zhao, Jia Li, Zhuo Diao, Xiao Zhang, Suihua Feng, Guixue Hou, Wenqiu Xu, Zhiguang Zhao, Zhixu Qiu, Wenzhi Yang, Si Zhou, Peirun Tian, Qun Zhang, Weiping Chen, Huahua Li, Gefei Xiao, Jie Qin, Liqing Hu, Zhongzhe Li, Liang Lin, Shunyao Wang, Ruyun Gao, Wuyan Huang, Xiaohong Ruan, Sufen Zhang, Jianguo Zhang, Lijian Zhao, Rui Zhang

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A Comparison of Approaches for Handling Concept Drifts in Data Processed With Machine Learning by Emanuel Valerio Pereira, Wendley Souza da Silva

“…The study encompasses a comparative exploration of different classification algorithms within the scikit-multiflow framework. …”
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