Microcirculation disorders and structural and functional left ventricular abnormalities in patients with type 1 diabetes complicated by ketoacidosis by N. V. Mukhа, A. V. Govorin, D. N. Zajtsev, A. P. Filev

“…To study the microcirculation and vascular tone regulation, we used a laser Doppler flowmetry (LDF) using the LAKK-02 machine (Lazma, Russia).Results. In patients with T1D complicated by DKA, there was an increase in thepassive blood flow modulation with a depression of active factors. …”
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Implementation of automation tools for test analysis in the Radiotherapy Quality Assurance Programs by João Guilherme Rivera Santiago, Laura Furnari, Marcus Vinicius Saad de Paula Rodrigues, Victor Augusto Bertotti Ribeiro

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Euclidean Distance-Based Tree Algorithm for Fault Detection and Diagnosis in Photovoltaic Systems by Youssouf Mouleloued, Kamel Kara, Aissa Chouder, Abdelhadi Aouaichia, Santiago Silvestre

“…Unlike the decision tree, which requires the use of the Gini index to split the data, this algorithm mainly relies on computing distances between an arbitrary point in the space and the entire dataset. …”
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Modelling and Simulation for a Versatile Controllable Power Supply Configuration Appropriate for Magnetically Impelled Arc Butt (MIAB) Welding by G. C. Ganesha, M. Chaturvedi, S. Arungalai Vendan, S. Theodore Chandra

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3D gamma analysis between treatment plans for nominally beam‐matched medical linear accelerators using PyMedPhys by Fada Guan, William Donahue, Simon Biggs, Matthew Jennings, Emily Draeger, Huixiao Chen, Yuenan Wang, Ngoc Nguyen, David J. Carlson, Zhe Chen, Dae Yup Han

“…Abstract Beam‐matched linear accelerators (linacs) enable flexible patient scheduling and efficient treatment delivery in the event of unexpected machine downtime. The purpose of this study was to test the feasibility of 3D gamma index as an additional metric beyond standard measurement‐based comparisons for more efficient evaluation of treatment plans between linacs with nominally matched beam models to ensure safe patient transfer. …”
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Rolling Bearing Fault Diagnosis Method Based on Improved Variational Mode Decomposition and Information Entropy by Wen FAN, Lian GE, Xiaoting XIAO, Fangji GAN, Xin LAI, Hongxia DENG, Qi HUANG

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Innovating Cybersecurity in Tanzanian Academia: A Mobile Tool for Combatting Social Engineering Threats by Lucas Hosea Mjema, Bonny Said Mgawe, Mussa Ally Dida

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Experimental and numerical investigations of full-field strain measurement and fracture parameter of lead-free solder using DIC technique by Tao Quang Bang, Nguyen Van Thien An, Lahouari Benabou, Nguyen Xuan Hung

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Design of Control System for a Desktop Injection Molding Using Raspberry Pi 3 B+ by Rahmat Rahmat, Meiki Eru Putra, Zulkifli Amin

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Research on Test-bench for Sonic Logging Tool by Xianping Liu, Xiaodong Ju, Wenxiao Qiao, Junqiang Lu, Baiyong Men, Kai Zhang, Yongchao Yao

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Spatiospectral dynamics of electroencephalography patterns during propofol-induced alterations of consciousness states by Xuan Li, Dezhao Liu, Zheng Li, Rui Wang, Xiaoli Li, Tianyi Zhou

“…We present an alpha modulation index which characterizes how these patterns track the transition from awake to sedation as a function of increasing dosage. …”
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Efficient Pruned-DFT FBMC-OQAM for Performance Enhancement of MIMO Channel Equalization Techniques by Thamer M. Jamel, Ali Al-Shuwaili

“…A The next generation of wireless systems, like 5G/6G, ought to accommodate a wide range of potential use cases like massive real-time and machine-type communications. Accordingly, such systems need to provide high throughput, low latency, and a low peak to average power ratio (PAPR). …”
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Data Management Plans: a Resource to Shape Institutional Data Management Services by Willeke de Haan, Veerle Van den Eynden

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Optimising Solar Power Plant Reliability Using Neural Networks for Fault Detection and Diagnosis by Mohammed Bouzidi, Abdelfatah Nasri, Omar Ouledali, Messaoud Hamouda

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U-shaped relationship between frailty and non-HDL-cholesterol in the elderly: a cross-sectional study by Yu Pan, Yan Yuan, Juan Yang, Zhu Qing Feng, Xue Yin Tang, Yi Jiang, Gui Ming Hu, Jiang Chuan Dong

“…A 40-item frailty index scale, encompassing various dimensions of somatic functioning, psychological evaluation, and illness, was developed and individually evaluated for each participant. …”
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Exclusive breastfeeding is associated with the gut microbiome maturation in infants according to delivery mode by Nathalia F. Naspolini, Paulo A. Schüroff, Pedro A. R. Vanzele, Davi Pereira-Santos, Tamires Amabili Valim, Kevin S. Bonham, André Fujita, Maria Rita Passos-Bueno, Patricia C. B. Beltrão-Braga, André C. P. L. F. Carvalho, Vanja Klepac-Ceraj, Guilherme V. Polanczyk, Alline C. Campos, Carla R. Taddei

“…The microbiome age is closer to chronological infant age in EBF than in non-EBF infants, meaning a lower microbiome maturation index (MMI). Using a complementary machine learning approach, we show that Escherichia coli, Ruminococcus gnavus, and Clostridium neonatale, as well as vitamin K and o-antigen pathways contribute strongly to EBF prediction. …”
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Development of an immune-related gene signature applying Ridge method for improving immunotherapy responses and clinical outcomes in lung adenocarcinoma by Zhen Chen, Yongjun Zhang

“…Immune-related co-expression modules were classified by weighted gene co-expression network analysis (WGCNA) analysis. …”
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Enhancing ovarian cancer prognosis with an artificial intelligence-derived model: Multi-omics integration and therapeutic implications by You Wu, Kunyu Wang, Yan Song, Bin Li

“…Methods: This study leveraged multi-dataset analysis to construct and validate an Artificial Intelligence-Derived Prognostic Index (AIDPI) for ovarian cancer. Transcriptome data from the TCGA, ICGC, and GEO databases were utilized, encompassing bulk and single-cell RNA sequencing. …”
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Identification and validation of synergistic drug strategies targeting macrophage polarization in triple-negative breast cancer via single-cell transcriptomics and deep learning by Qi Qi, Wenhao Yang, Liang Li, Yuheng Tang, Yongzhi Chen, Hui Wang, Sun Yingjie, Jialin Shi, Samina Gul, Wenru Tang, Jianyu Pang, Xiaoli Xie

“…Analyzing scRNA-seq data from 24 TNBC patients using integrated transcriptomics, machine-learning, and pseudo-time trajectory mapping, we developed a macrophage differentiation-based classifier (MMDCSS) (CD93, CHI3L1, ZBTB20) with remarkable prognostic accuracy (C-index: 0.929, 3-year AUC: 0.907). …”
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Development of policy research-evidence organizer and public health-policy evaluation tool (prophet): a computing paradigm for promoting evidence-informed policymaking in Nigeria by Kingsley Otubo Igboji, Chigozie Jesse Uneke, Fergus U. Onu, Onyedikachi Chukwu

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