Venous Thromboembolism Prophylaxis in Intensive Care Units (Review) by L. V. Popova, T. B. Kondratieva, M. Z. Kanevskaya, T. L. Aleinikova, E. S. Zykova, А. V. Krivova, A. M. Kuznetsov

“…VTE is common and potentially life-threatening in patients admitted to ICU, even in spite of preventive care.The purpose of the review is to justify the necessity of preventive care for venous thromboembolism in ICU patients.From over 300 initially selected sources of literature databases (Scopus, Web of science, RSCI, etc.), 99 sources were chosen including 69 that were published during the last five years (2015-2020). …”
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Intranasal administration of stem cell derivatives for the treatment of AD animal models: a systematic review and meta-analysis by Zilin Hua, Nan Zhou, Zijing Zhou, Zewei Fu, Ruiyun Guo, Herman Yao Akogo, Jiayin Yang, Meixuan Yu, Yujie Jiang, Siyi Lan, Haixia Chang, Jun Ma, Huixian Cui

“…Subgroup analyses indicated that stem cell source, stem cell derivative types and Aβ detection method were not primary drivers of heterogeneity. …”
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A Lightweight Convolutional Neural Network for Classification of Brain Tumors Using Magnetic Resonance Imaging by Mahir Kaya, Alper Özatılgan

“…Magnetic Resonance (MR) images are used for the detection and treatment of brain tumor types. Successful results in the detection of diseases from medical images with Convolutional Neural Networks (CNN) depend on the optimum creation of the number of layers and other hyper-parameters. …”
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Oligosaccharide production using β-galactosidase from Lactobacillus bulgaricus and Kluyveromyces lactis in sweetened reconstituted nonfat dry milk by Giselle K.P. Guron, Arland T. Hotchkiss, Jr., Brittany H. Bodnar, Andrew Harron, John A. Renye, Jr., Michael J. McAnulty

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Robot Visual Tracking Model Based on Improved GOTURN-LD Algorithm by Lijuan Xu, Dalong Liu, Huanjian Ma

“…Therefore, this paper studies the use of the You Only Look Once series algorithm and the use of the regression network general target tracking algorithm to improve the detection and tracker part of the track-learning-detection algorithm. …”
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INDICATORS AND CRITERIA FOR ASSESSMENT OF MULTIFUNCTIONAL DEVELOPMENT OF RURAL TERRITORIES by O. V. Kosenchuk, A. V. Zinich

“…The authors identify five basic functions of rural areas, developed and presented by the author’s methodology for monitoring the dynamic and including thirty-one indicators, which allow to assess the changes in rural area over the years.Discussion. …”
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Urotensin-II: More Than a Mediator for Kidney by Ayşe Balat, Mithat Büyükçelik

“…Although both hU-II and its receptor, GPR14, are detected in several tissues, kidney is a major source of U-II in humans. …”
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Genome-Wide Scan for Copy Number Variations in Chinese Merino Sheep Based on Ovine High-Density 600K SNP Arrays by Yuezhen Tian, Jing An, Xinning Zhang, Jiang Di, Junmin He, Ayinuer Yasen, Yanpin Ma, Gaohaer Sailikehan, Xixia Huang, Kechuan Tian

“…To generate a comprehensive CNVR map of the ovine genome, we conducted genome-wide CNV detection using genotyping data from 285 fine wool sheep. …”
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Features of the alpha-cell population organization in pancreas of spontaneously hypertensive rats (SHR) by T. V. Abramova, Yu. M. Kolesnyk

“…At the same time, glucagon-suppressive therapy is defined as the strategically main source of success of therapy for patients with type 2 diabetes mellitus. …”
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A lightweight transformer based multi task learning model with dynamic weight allocation for improved vulnerability prediction by Lan Liu, Zhanfa Hui, Guiming Chen, Tingfeng Cai, Chiyu Zhou

“…Traditional methods, such as single-task learning and ensemble approaches, often struggle with these challenges, particularly in detecting rare but critical vulnerabilities. To address this, we propose the MTLPT: Multi-Task Learning with Position Encoding and Lightweight Transformer for Vulnerability Prediction, a novel multi-task learning framework that leverages custom lightweight Transformer blocks and position encoding layers to effectively capture long-range dependencies and complex patterns in source code. …”
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THE SOLUTION TO THE EQUATION OF THE SHOCK WAVE BURGERS IN THE PTC MATHCAD ENVIRONMENT by R. E. Oleynikova

“…However, this error is detected through the values of the nonlinear term included in the differential equation, which is determined according to the binomial representation through the quadratic forms of the matrix of the trial function. …”
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Machine Learning-Driven GLCM Analysis of Structural MRI for Alzheimer’s Disease Diagnosis by Maria João Oliveira, Pedro Ribeiro, Pedro Miguel Rodrigues

“…<i>MCI</i>, the proposed model outperformed state-of-the-art imaging source studies by 0.1% and non-imaging source studies by 4.6%. …”
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Reward shaping based reinforcement learning for intelligent missile penetration attack strategy planning by LUO Junren, LIU Guo, SU Jiongming, ZHANG Wanpeng, CHEN Jing

“…The comparison experiment shows that the success rate of the intelligent missile penetration attack controlled by the model learned by the reward molding method is 79%, which verifies the effectiveness of the reward-based reinforcement learning method. …”
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Optimizing maize germination forecasts with random forest and data fusion techniques by Lili Wu, Yuqing Xing, Kaiwen Yang, Wenqiang Li, Guangyue Ren, Debang Zhang, Huiping Fan

“…Traditional methods for detecting seed germination rates often involve lengthy experiments that result in damaged seeds. …”
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Quantification of glucagon and oxyntomodulin by protein precipitation-immunoaffinity enrichment-LC-MS/MS by Jessica O. Becker, Sara K. Shijo, Huu-Hien Huynh, Katrina L. Forrest, Michael J. MacCoss, Michelle A. Emrick, Elisha Goonatilleke, Andrew N. Hoofnagle

“…A glucagon calibration material was sourced commercially and characterized for purity and concentration by high-performance liquid chromatography-ultraviolet detection and amino acid analysis. …”
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Dietary compositions and their seasonal shifts in Japanese resident birds, estimated from the analysis of volunteer monitoring data. by Tetsuro Yoshikawa, Yutaka Osada

“…Thus, the estimates based on the volunteer monitoring data successfully detected noticeable seasonal shifts in many of the birds from plant materials to animal diets during spring-summer. …”
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In-band network telemetry system based on high-performance packet processing architecture VPP by Tian PAN, Xingchen LIN, Jiao ZHANG, Tao HUANG, Yunjie LIU

“…An in-band network telemetry-based system was built based on VPP, a high-performance virtual network forwarding architecture/device, via reorganizing the data plane pipeline processing modules.Moreover, a network-wide telemetry mechanism was further developed via embedding source routing into the probe packet header for specifying the route of probe packets.Finally, a virtual network topology was built with performance evaluation conducted.The evaluation shows that the telemetry system can monitor the network in a high precision of every 0.13 ms, detecting link congestion in real time with minor performance overhead.Given virtual network devices have been widely deployed in data centers, the proposed scheme is expected to improve the reliability of multi-tenancy and network function virtualization in data centers via high-precision, network-wide virtual link telemetry coverage.…”
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Tracing the Earliest Stages of Star and Cluster Formation in 19 Nearby Galaxies with PHANGS-JWST and HST: Compact 3.3 μm Polycyclic Aromatic Hydrocarbon Emitters and Their Relation... by M. Jimena Rodríguez, Janice C. Lee, Remy Indebetouw, B. C. Whitmore, Daniel Maschmann, Thomas G. Williams, Rupali Chandar, A. T. Barnes, Oleg Y. Gnedin, Karin M. Sandstrom, Erik Rosolowsky, Adam K. Leroy, David A. Thilker, Hwihyun Kim, Jiayi Sun, Ralf S. Klessen, Brent Groves, Aida Wofford, Médéric Boquien, Daniel A. Dale, Leonardo Úbeda, Kirsten L. Larson, Kathryn Grasha, Kelsey E. Johnson, Rebecca C. Levy, Frank Bigiel, Hamid Hassani, Sumit K. Sarbadhicary

“…We establish a selection criteria based on a median color threshold of F300M − F335M = 0.67 at F335M = 20 and identify 1816 sources. These sources are predominantly located in dust lanes, spiral arms, rings, and galaxy centers, with ∼87% showing concentration indices (CIs) similar to optically detected star clusters. …”
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Mid-infrared Ensemble Variability of Broad-line and Narrow-line Seyfert 1 Galaxies by Zhipeng Hu, Lisheng Mao

“…The MIR variability of the combined sample is positively correlated with black hole mass and the FWHM of the H β emission line at long rest-frame time lags. (4) The long-term MIR variability of the combined sample may be mainly driven by the Eddington ratio. (5) For BLSy1 galaxies, the MIR variability of radio-detected sources is greater than that of radio-undetected sources, whereas for NLSy1 galaxies, the opposite is true.…”
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Exploring the role of mitochondrial metabolism and immune infiltration in myocardial infarction: novel insights from bioinformatics and experimental validation by Jingyi Hou, Jingyi Hou, Jingyi Hou, Lihan Wang, Lihan Wang, Naiqiang Zhu, Xueli Li

“…This study aimed to clarify the roles of mitochondrial metabolism and immune infiltration in MI, using a combination of bioinformatics analyses and experimental validation.MethodsMI chip data (GSE96561, GSE181872, and GSE183272) were obtained from the Gene Expression Omnibus (GEO) database, and mitochondrial gene data were sourced from the MitoCarta3.0 database. Differentially expressed genes (DEGs) were identified and subjected to functional enrichment analyses. …”
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