Von Willebrand Factor as a Marker of Inflammation and Haemostasis (Review) by Maria V. Kalashnikova, Nushik S. Sarkisyan, Aleksandr N. Kulichenko

“…Data are presented indicating that the release of VWF from endothelial cells promotes the binding and decrease in the activity of ADAMTS-13, which regulates the functional activity of VWF. …”
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The Economics Efficiency of Cyprinus Carpio Growout Cultured In Running Water Pond by Lindawati Lindawati, Tajerin Tajerin

“…This study is estimating the production economic efficiency of running water pond, cultured- Cyprinus carpio growout. Primary data is analyzed using Cobb Douglas function approach. …”
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Examining the forms and meaning of the Arusa dialect of the Maa verb expansions by Chipanda Simon

“…The Cognitive Grammar and Morpheme-based morphology theories were tools used for data analysis. The study found that -in-, -i-, -e- are causative; -ta-, -to- reciprocal, -ki- applicative; -i- stative and -ki- passive allomorphs in Arusa. …”
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Modelling Blood Flow and Metabolism in the Preclinical Neonatal Brain during and Following Hypoxic-Ischaemia. by Matthew Caldwell, Tracy Moroz, Tharindi Hapuarachchi, Alan Bainbridge, Nicola J Robertson, Chris E Cooper, Ilias Tachtsidis

“…Behaviourally-important model parameters are identified via sensitivity analysis, and these are optimised to simulate the experimental data. …”
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Context-Aware Gene Embedding Pipeline (CGEP): An Accessible, Regulatory-Region-Inclusive Embedding Framework for Interpretable Disease-Agnostic Prediction by Twaha Ahmed Minai, Zubair Ahmed Shaikh, Asim Imdad Wagan, M. Kamran Azim, Syed Muhammad Muaz, Muhammad Shoaib Siddiqui

“…In this study, we propose a novel Gene Embedding Pipeline (CGEP) designed to address critical limitations in genomic deep learning by integrating both functional and regulatory genomic contexts. Unlike conventional approaches, our framework prioritizes disease-associated genes identified through contribution analysis (validated via a breast cancer case study) while remaining extensible to all pathologies with patient-derived FASTA sequences. …”
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REHABILITATION EFFECT OF CORRECTION OF ERECTILE DYSFUNCTION IN PATIENTS WHO UNDERWENT RADICAL PROSTATECTOMY FOR PROSTATE CANCER by A. T. Asratov, I. V. Vinogradov, B. R. Gvasaliya, A. A. Kachmazov, A. G. Kochetov, Yu. V. Samsonov, N. V. Sitnikov, A. O. Tolkachev, A. A. Kostin

“…The material of the study was analysis of the questionnaire data of 30 patients with PC with the postoperative ED before the postoperative period and after the falloprosthesis. …”
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Phenotyping of risk factors and prediction of inhospital mortality in patients with coronary artery disease after coronary artery bypass grafting based on explainable artificial in... by B. I. Geltser, K. I. Shakhgeldyan, V. Yu. Rublev, I. G. Domzhalov, M. M. Tsivanyuk, O. I. Shekunova

“…Preoperative clinical and functional status was assessed using 102 factors. Chi-squares, Fisher, Mann-Whitney methods were used for data processing and analysis. …”
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Case Study on BIM and Value Engineering Integration for Construction Cost Control by Xiaojuan Li, Chen Wang, Ali Alashwal

“…This study contributes to providing empirical evidence of the advantages of this integrated approach including a better understanding of project components and requirements, easy access to project data, comprehensive weight and function analysis, easy validation of recommended solutions, and ability to virtually evaluate design changes and construction site planning.…”
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Optimal allocation of supercapacitor energy storage system capacity for mitigating wind power fluctuations by Ge Cao, Yifeng Dang, Shaoxiong Guo, Yan Liang, Rong Jia

“…Secondly, Leigh takes the minimization of the fluctuation volume and investment and operation cost of the supercapacitor energy storage system as the objective function and establishes the capacity allocation model of the supercapacitor energy storage system based on the power generation constraints and energy balance constraints of the supercapacitor energy storage system; Finally, the computational analysis was performed by actual area data, and the K-means algorithm was used to solve for grouping the data points into clusters, reconstructing each typical day and setting the maximum fluctuation limit. …”
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Machine learning for Parkinson’s disease: a comprehensive review of datasets, algorithms, and challenges by Sahar Shokrpour, AmirMehdi MoghadamFarid, Sepideh Bazzaz Abkenar, Mostafa Haghi Kashani, Mohammad Akbari, Mostafa Sarvizadeh

“…Abstract Parkinson’s disease (PD) is a devastating neurological ailment affecting both mobility and cognitive function, posing considerable problems to the health of the elderly across the world. …”
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Non-differentiated connective tissue dysplasia. "Carthage should be destroyed"? by E. V. Zemtsovsky

“…The latter complicates literature data analysis and further development of CTD concept. …”
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Random Undersampled Digital Elevation Model Super-Resolution Based on Terrain Feature-Aware Deep Learning Network by Ziqiang Huo, Meng Xi, Jingyi He, Zhengjian Li, Jiabao Wen

“…The digital elevation model (DEM) provides important data support for geographic information analysis. …”
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Study on Application of CYCBD based on PSO in Fault Feature Extraction of Rolling Bearing by Yutao Liu, Huer Sun

“…Through the analysis of simulation signals and experimental data， it is shown that the method can effectively enhance the periodic transient impacts characteristics of vibration signals and has advantages in the early fault feature extraction of rolling bearings.…”
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Cardinals and Education: Reproduction of the Catholic Elite in Europe by Valeria Dmitrieva

“…The study is conducted in the form of structural-biographical analysis, with data being gathered from the website of the Holy See and processed in SPSS. …”
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Associative conditioning in gene regulatory network models increases integrative causal emergence by Federico Pigozzi, Adam Goldstein, Michael Levin

“…Analyzing 29 biological (experimentally derived) networks before, during, after training, we discovered that biological networks increase their causal emergence due to training. Clustering analysis uncovered five distinct ways in which networks’ emergence responds to training, not mapping to traditional ways to characterize network structure and function but correlating to different biological categories. …”
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Optimal Control Strategies of COVID-19 Dynamics Model by Temesgen Duressa Keno, Hana Tariku Etana

“…If the basic reproduction number is less than one, then the disease-free equilibrium point is both locally and globally stable, respectively, via the help of Jacobian matrix and Lyapunov function, otherwise the endemic equilibrium occurs. …”
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Integral characteristics of induction loop located overthin conducting layer by V.S. Portnov, N.V. Reva, V.I. Onishchuk, E.S. Li

“…Analytic relationships that describe the dynamic increments of the active resistance and loop inductance as a function of frequency were obtained as a result of solving this problem. …”
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Mapping the Left Periphery of Similative Constructions: Dutch Dialects as a Case Study by Marta Massaia

“…Specifically, I show that these elements lexicalize different parts of the relative construction, including the head complex raising to the edge of the similative in line with a head-raising analysis. To support this idea, I will mostly provide data from Dutch and Dutch dialects, although the analysis can (and should) be extended to other Germanic varieties.…”
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A New Lomax-G Family: Properties, Estimation and Applications by Hanan Baaqeel, Hibah Alnashshri, Lamya Baharith

“…We demonstrate the family’s flexibility to predict a wide range of lifetime events by deriving its cumulative and probability density functions. The new Lomax–Weibull distribution (NLW) is studied as a sub-model, with analytical and graphical evidence indicating its efficiency for reliability analysis and complex data modeling. …”
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Dendritic overgrowth and elevated ERK signaling during neonatal development in a mouse model of autism. by Ning Cheng, Fawaz Alshammari, Elizabeth Hughes, Maryam Khanbabaei, Jong M Rho

“…Since dendritic structure is critical for information integration and relay, our data suggest that altered development of dendrites could potentially contribute to impaired hippocampal function and behavior observed in the BTBR model, and that this might be related to increased activation of the ERK pathway.…”
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