Shift-Share Method in Assessing the Interrelation of Employment Dynamics in Cities and Regions by I. A. Zalmanov

“…The research uses municipal statistics data from 81 cities of the Russian Federation for the period from 2017 to 2021. …”
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Stability analysis of Rift Valley fever transmission model with efficient and cost-effective interventions by Samson Olaniyi, Olajumoke D. Falowo, Abiodun T. Oladipo, Gideon K. Gogovi, Adekunle O. Sangotola

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Diurnal Variations of Infrared Land Surface Emissivity in the Taklimakan Desert: An Observational Analysis by Yufen Ma, Kang Zeng, Ailiyaer Aihaiti, Junjian Liu, Zonghui Liu, Ali Mamtimin

“…Model comparisons indicate that sinusoidal functions outperform polynomial fits across most wavelengths, especially at 12.1 μm, confirming the significant influence of diurnal forcing. …”
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Surface patterning for multi-scale strain analysis of in-situ SEM mechanical experiments by Bin Zhang, Xianjue Ye, Jin Wang, Yuefei Zhang, Ze Zhang

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Bioinformatics pipeline to guide late‐onset Alzheimer's disease (LOAD) post‐GWAS studies: Prioritizing transcription regulatory variants within LOAD‐associated regions by Michael W. Lutz, Ornit Chiba‐Falek

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Analysis of financial and economic indicators, characterizing the activities of organizations in the oil and gas industry by L. A. Chaldaeva, T. I. Chinaeva, A. S. Bogopolskiy

“…By the example of organizations JSC “IDELOIL” and Ltd “NEDRA-K”, a comparative analysis of financial and economic indicators was carried out, directions for increasing gross profit and gross margin indicators were proposed and justified in order to reduce costs and increase revenues.As a result, it was concluded that the oil industry in Russia depends on political and economic factors, in this regard, it is necessary to regularly analyze the activities of organizations in this industry to identify miscalculations, low-active functioning systems, etc., with the purpose of more efficient functioning of the industry.…”
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Thermal analysis and multi-objective optimization of equal-area microfluidic cooling systems by Yucheng Wang, Antong Bi, Yue Yao, Weiting Chen, Kaiyu Chen, Shenxin Yu, Jiangang Yu, Chao Wang, Wei Li, Shaoxi Wang

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Pan-cancer analysis of oncogenic role of MAGOH and experiment validation in hepatocellular carcinoma by Zezhi Qiu, Yi Le, Yanyu Liao, Xiao Chen, Xing Xin, Fengting Nie, Xianpin Wei, Heng Wang, Ziling Fang

“…Collectively, our study conducted a comprehensive analysis of the hitherto undescribed role of MAGOH in pan-cancer by analyzing multi-omics data. …”
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Digital Interventions for Patients With Juvenile Idiopathic Arthritis: Systematic Review and Meta-Analysis by Zihan Ren, Yawen Chen, Yufeng Li, Panyu Fan, Zhao Liu, Biyu Shen

“…A total of 2 reviewers independently screened papers and extracted data on intervention functionalities and outcomes, assessing the risk of bias. …”
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Headache Phenotype and the Psychosocial Burden of Cluster Headaches: An Analysis of Patients Prior to Hospitalization by Carl Hartmut Göbel, Britta Koch, Katja Heinze-Kuhn, Axel Heinze, Anna Cirkel, Hartmut Göbel

“…A total of 94.7% of the patients had a MIDAS score of grade 4. The analysis of the WHODAS 2.0 score revealed that 92.7% of the patients with cluster headaches experienced severe limitations in their health and functionality. …”
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Improving Participant Recruitment in Clinical Trials: Comparative Analysis of Innovative Digital Platforms by Alexia Georgia Bikou, Elena Deligianni, Foteini Dermiki-Gkana, Nikolaos Liappas, José Gabriel Teriús-Padrón, Maria Eugenia Beltrán Jaunsarás, Maria Fernanda Cabrera-Umpiérrez, Christos Kontogiorgis

“…The incorporation of cutting-edge technologies such as blockchain and artificial intelligence has revolutionized clinical research (particularly in the recruitment stage), enhanced secure data storage and analysis, and facilitated participant monitoring while protecting their personal information. …”
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The Gini coefficient and discontinuity by Jens Peter Kristensen

“…This article reveals a discontinuity in the mapping from a Lorenz curve to the associated cumulative distribution function. The problem is of a mathematical nature—based on an analysis of the transformation between the distribution function of a bound random variable and its Lorenz curve. …”
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Water quality evaluation in Liaoning Province large reservoirs: a new method integrating random forest-TOPSIS and Monte Carlo simulation by Chong Zhang, Mo Chen, Yi Wang

“…Utilizing monthly water quality data, the model generates normally distributed datasets that are processed through the TOPSIS model, incorporating RF-derived weights and a membership function, for a comprehensive evaluation. …”
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Identification of diagnostic biomarkers for fibromyalgia using gene expression analysis and machine learning by Fuyu Zhao, Fuyu Zhao, Fuyu Zhao, Jianan Zhao, Jianan Zhao, Jianan Zhao, Yang Li, Chenyang Song, Chenyang Song, Chenyang Song, Yaxin Cheng, Yaxin Cheng, Yaxin Cheng, Yunshen Li, Yunshen Li, Yunshen Li, Shiya Wu, Bingheng He, Juan Jiao, Cen Chang, Cen Chang

“…These genes are implicated in critical processes such as ion homeostasis, cell signaling, and neurobiological functions, which are perturbed in FM. The diagnostic model demonstrated robust performance, with an area under the curve (AUC) of 0.8338 in the training set and 0.8178 in the validation set, indicating its potential utility in clinical settings.ConclusionThe study successfully identifies three diagnostic biomarkers for FM, supported by both bioinformatics analysis and machine learning models. …”
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Pan-cancer analysis of GJB5 as a novel prognostic and immunological biomarker by Xiaojuan Yang, Xunjie Cao, Qing Zhu, Hong Wu

“…Abstract Gap junction protein B5 (GJB5, also known as Connexin 31.1) has recently been reported to be downregulated in several cancer types, where it functions primarily as a tumor suppressor in cancers such as melanoma and non-small cell lung cancer (NSCLC). …”
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Screening and analysis of programmed cell death related genes and targeted drugs in sepsis by Juanjuan Song, Kairui Ren, Yi Wang, Dexin Zhang, Lin Sun, Zhiqiang Tang, Lili Zhang, Ying Deng

“…Methods Gene expression profiles from sepsis patients were analyzed to identify differentially expressed genes (DEGs) and hub genes through Weighted Gene Co-expression Network Analysis (WGCNA). Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were conducted to elucidate the functions of the DEGs. …”
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Exploring the Real Mental Experience of Patients with Moyamoya Disease: A Qualitative Analysis by Li M, Zhang W, Zhang N, Li S, Pan Z, Xiong X, Li Q, Wei J, Li H

“…Colaizzi’s method was used to analyze the collected data.Results: Five major themes were identified through phenomenological analysis: (1) cognitive and emotional experiences, including fear, denial, and evolving self-perception; (2) psychological adjustment, featuring active coping strategies and reliance on social support; (3) impact on quality of life, including challenges in daily functioning and interpersonal relationships; (4) information needs and seeking, highlighting patients’ difficulties accessing and understanding health information; and (5) long-term care and support, encompassing extended rehabilitation needs, psychological counseling, and community and family involvement. …”
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Acquisition and elaboration of superficial three-dimensional images in plastic and reconstructive surgery: Applications by Alfano C, Mezzana Paolo, Scuderi N

“…Today it is possible to examine either the anatomic and functional aspects of deep body organs and tissues including all the minute details as well as their morphological relations with superficial structures. …”
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Multidimensional bioinformatics analysis reveals the potential carcinogenic role of acrylamide in colorectal cancer by Xiaopeng Yu, Junjie Niu, Jinyang Hu

“…Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were performed to elucidate gene functions, while clinical feature correlation analysis and single-sample gene set enrichment analysis (ssGSEA) were utilized to assess immune infiltration characteristics. …”
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Comparing the efficacy of physical therapy interventions in Alzheimer’s disease: a network meta-analysis by Jiawen Wu, Yunfei Teng, Yaming Xie, Shuangtao Xing, Songsong Zhi

“…Given the multifactorial nature of AD, effective therapeutic interventions targeting both cognitive and functional decline are critical. This study aimed to conduct a comprehensive comparison of the therapeutic effects of music therapy, acupuncture therapy, game therapy, cognitive training therapy, and exercise therapy on AD patients through a network meta-analysis. …”
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