PRINCIPLES AND STRUCTURE OF THE METHODOLOGY OF RISK-ADAPTIVE MANAGEMENT OF PARAMETERS OF INFORMATION AND TELECOMMUNICATION NETWORKS OF CRITICAL APPLICATION SYSTEMS by Viktor Kosenko

“…The composition and peculiarities of models (mathematical and systemic) and methods which are the basis of the methodical apparatus are determined. …”
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Ratio of fat-free mass to fat mass is associated with physical performance in patients with type 2 diabetes mellitus by Jui-Hsiang Sung, Fu-Shun Ko, Tsung-Hui Wu, Tsung-Hui Wu, Shiow-Chwen Tsai, Chii-Min Hwu, Chii-Min Hwu, Guan-Yu Su, Guan-Yu Su

“…In women, waist circumference, upper arm circumference, age, and uric acid level emerged as independent predictors; notably, logarithmic transformation of alanine transaminase level was not included in the regression model.ConclusionThe present study revealed that a decreased FFM/FM ratio is associated with suboptimal physical performance in patients with T2DM, and this ratio may provide meaningful clinical benefits in targeting body composition in this population.…”
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Enhancing sustainable solid waste management through separate source collection by O. Arabiyat, J.T. Al-Bakri, F. Kölsch, S. Al-Omari, H. Aladwan

“…Data on waste amount and composition were collected and interpreted for the 2020-2023 period. …”
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Enhancing the specific modulus of Al–Li alloys: A machine learning approach to micro-alloying element identification by Lyu Jing, Li Yanan, Li Xiwu, Zheng Lei, Xiao Wei, Liu Qilong, Liu Rui, Li Zhihui, Xiong Baiqing

“…To enhance the specific modulus of aerospace structural materials, this study employs machine learning methods to optimize the micro-alloying composition of Al–Li alloys. …”
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Can laboratory-based XAFS compete with XRD and Mössbauer spectroscopy as a tool for quantitative species analysis? Critical evaluation using the example of a natural iron ore. by Sebastian Praetz, Christopher Schlesiger, Damian Alexander Motz, Stephen Klimke, Moritz Jahns, Christine Gottschalk, Lena Heinrich, Eva Maria Heppke, Wolfgang Malzer, Franz Renz, Carla Vogt, Birgit Kanngießer

“…The capabilities and challenges of each method are discussed. The quantitative model mixtures examinations by lab-XAFS show results and accuracies similar to those obtained by XRD and Mössbauer spectroscopy. …”
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Review of Demand Response-based Optimal Scheduling of Electric and Thermal Integrated Energy Systems by Jingshan MO, Guangxian YAN, Na SONG, Mingyang YUAN

“…Current scheduling model solution methods are mainly classified into two types: analytical methods and artificial intelligence methods. …”
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Mid-infrared milk screening as a phenotyping tool for feed efficiency in dairy cattle by Ludmila Zavadilová, Eva Kašná, Zuzana Krupová, Alena Pechová, Petr Fleischer, Soňa Šlosárková

“…Prediction accuracy varies across studies, depending on the mathematical method and model employed. Predictions based solely on FT-MIR data have demonstrated moderate accuracy (coefficient of determination), ranging from 0.19 to 0.40. …”
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Machine learning in additive manufacturing——NiTi alloy’s transformation behavior by Lidong Gu, Kongyuan Yang, Hongchang Ding, Zezhou Xu, Chunling Mao, Panpan Li, Zhenglei Yu, Yunting Guo, Luquan Ren

“…To investigate the accuracy of the model, this study utilized various process parameters to fabricate NiTi alloys with different compositions from Ni50.8Ti49.2 alloy powder. …”
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Equipment and Technology for Subsurface Irrigation of Intensive Gardens in the Bukhara Region of the Republic of Uzbekistan by F. U. Zhuraev, G. Kh. Karimov

“…(Research purpose) To develop an automated system for subsurface irrigation of intensive gardens with groundwater using electric pumps and solar panels, and to create a mathematical model of soil moisture distribution. (Materials and methods) Special devices shaped as pegs were designed to supply water with dissolved mineral fertilizers directly into the root system of intensive gardens. …”
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Machine learning driven dashboard for chronic myeloid leukemia prediction using protein sequences. by Waqar Ahmad, Abdul Raheem Shahzad, Muhammad Awais Amin, Waqas Haider Bangyal, Tahani Jaser Alahmadi, Saddam Hussain Khan

“…The methodology we implement is based on the utilisation of reliable methods for extracting features, namely Di-peptide Composition (DPC), Amino Acid Composition (AAC), and Pseudo amino acid composition (Pse-AAC). …”
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Biomarkers of GH deficiency identified in untreated and GH-treated Pit-1 mutant mice by Sarmed Al-Samerria, Huiting Xu, M. Elena Diaz-Rubio, Joseph Phelan, Chi Su, Keer Ma, Anna Newen, Kiana Li, Sayaka Yamada, Ariel L. Negron, Fredric Wondisford, Sally Radovick

“…This study aimed to identify metabolic biomarkers of GHD and assess their responsiveness to GH therapy, alongside pathway analysis to uncover disrupted metabolic pathways.MethodsThe Pit-1^K216E mouse model was validated for GHD through assessments of GH production, growth, and body composition. …”
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CD8+ T Cell-Derived Perforin Exacerbates Dysbiosis and Inflammatory Bowel Disease via β-Hydroxybutyrate Suppression in Mouse Colonic Epithelium by Huang S, Pan L, Li M, Pang S, Tian Y, Shi W, Zong Y, Zhang D, Tian D

“…However, the exact mechanisms remain unclear.Methods: We applied a DSS-induced colitis model in wild-type and perforin-deficient (Prf1−/−) mice. …”
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Equation of State Independent Determination on the Radius of a 1.4 M⊙ Neutron Star Using Mass–Radius Measurements by Chun Huang

“…Traditional methods for determining the radius of a 1.4 M _⊙ neutron star ( R _1.4 ) rely on specific equation-of-state (EOS) models that describe various types of dense nuclear matter. …”
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ESTIMATION OF THE DEPTH OF ANESTHESIA BY ELECTROENCEPHALOGRAM USING NEURAL NETWORKS by Mokhammed A. Al-Ghaili, Alexander N. Kalinichenko

“…Anesthetics affect the frequency composition of the EEG. EEG of awake persons, as a rule, contains mixed alpha and beta rhythms. …”
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Identification of kidney renal clear cell carcinoma prognosis based on gene expression and clinical information by Xiong Zou, Xi Chen, Jianjun Yang, Yanfeng Li

“…At the same time, RNA sequencing data, clinical information and tumor mutation data of KIRC patients in the TCGA database were jointly processed to explore methods that facilitate clinicians to judge the prognosis of KIRC patients. …”
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P20 | RNASEQ AND HISTOCHEMICAL STAININGS ASSESS BIOCHEMICAL AND STRUCTURAL CHANGES IN THE MOUSE INTERVERTEBRAL DISC ACROSS THE LIFESPAN

“…Next, using an array of histochemical staining methods, we analyzed the changes in the lumbar IVD structure and biochemical composition across the lifespan, from newborn to over two years of age. …”
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Protective Effects of Konjac and Inulin Extracts on Type 1 and Type 2 Diabetes by Tianle Gao, Yue Jiao, Yang Liu, Tao Li, Zhiguo Wang, Danqiao Wang

“…The present study was designed to determine whether konjac and inulin extracts or their combination, konjac-inulin (KI) composition, as diet supplementary, can exert beneficial effects against type 1 diabetes and type 2 diabetes using animal models. …”
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Comparative study of specific activity of the piroctone olamine semisolid dosage form for external use by V. V. Hladyshev, D. M. Romanina, O. B. Kharaponova, N. L. Kolycheva, I. V. Hnitko, I. O. Pukhalska, H. P. Lysianska

“…The anti-inflammatory and antioxidant action of the proposed composition was evaluated by the allergic contact dermatitis model. …”
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Scene categorization by Hessian-regularized active perceptual feature selection by Junwu Zhou, Fuji Ren

“…This work presents an advanced selection of multi-channel perceptual visual features for recognizing scenic images with elaborate spatial structures, focusing on developing a deep hierarchical model dedicated to learning human gaze behavior. …”
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Integration of Intangible Cultural Heritage Elements into Furniture Design Based on Symbolic Semantics and AHP: A Case Study of Qianci by Jiahang Chen, Huimei Xia, Shun Yu

“…This study explored methods for integrating intangible cultural heritage (ICH) elements into modern furniture design, using Qianci as an example. …”
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