The Interfaces Twitter Elections Dataset: Construction process and characteristics of big social data during the 2022 presidential elections in Brazil. by Sylvia Iasulaitis, Alan Demétrius Baria Valejo, Bruno Cardoso Greco, Vinicius Gonçalves Perillo, Guilherme Henrique Messias, Isabella Vicari, with the Interfaces—Center for Sociopolitical Studies of Algorithms and Artificial Intelligence

“…The process of collecting and creating the database for this study went through three major stages, subdivided into several processes: (1) A preliminary analysis of the platform and its operation; (2) Contextual analysis, creation of the conceptual model, and definition of Keywords and (3) Implementation of the Data Collection Strategy. …”
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Coastal Metropolitan Dynamics in Poland's Tri-City and Indonesia's Semarang: NTL, BLFEI, and OBIA in Google Earth Engine by Abdurrahman Zaki, Joanna Jaskuła

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Projection Profiling: A Data Compressing Strategy in Three-Dimensional Liquid Chromatography for Quality Control of Traditional Herbal Medicine by Jing Zhang

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Developing a Composite Drought Indicator Using PCA Integration of CHIRPS Rainfall, Temperature, and Vegetation Health Products for Agricultural Drought Monitoring in New Mexico by Bishal Poudel, Dewasis Dahal, Sujan Shrestha, Roshan Sewa, Ajay Kalra

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Chopped basalt fibres: A new perspective in reinforcing poly(lactic acid) to produce injection moulded engineering composites from renewable and natural resources by P. Tamas, T. Tabi, J. G. Kovacs

“…Finally it was shown that by using adequate drying of the materials, composites with higher mechanical properties can be achieved compared to literature data.…”
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A Study of Correlations between Chemical Composition, Hot Rolling Process Pa rameters, Microstructure and Mechanical Properties of Hot Rolled DP600 Steel by T. Kaźmierski, J. Krawczyk, Ł. Frocisz, P. Matusiewicz

“…Based on industrial data from hot rolling mill combined with extended microstructure analysis, it was possible to find correlations between some of the analysed parameters and material properties. …”
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Comparison of Bayesian Models to Estimate Survival From Dead‐Recovery Alone and Together With Live‐Encounter Data: Challenges and Opportunities by Michael Schaub, Jaume A. Badia‐Boher

“…We assessed 13 models based on data simulation and analysis with the widely used R‐based software NIMBLE and JAGS. …”
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ОПЫТ ТИПИЗАЦИИ КРАСНОЛАКОВОЙ КЕРАМИКИ НА ОСНОВАНИИ ДАННЫХ РЕНТГЕНОФАЗОВОГО АНАЛИЗА (НА МАТЕРИАЛЕ ИЗ ПОДВАЛА II В. Н.Э. ГОРОДСКОЙ ПЛОЩАДИ ЦИТАДЕЛИ ТАНАИСА)... by Герасимова, В.В., Клочко, А.А., Косоруков, В.Л.

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Reduced composite dietary antioxidant index increases the risk of Parkinson’s disease and all-cause mortality in Parkinson’s disease patients: evidence from the NHANES database by Fei Huang, Jingwen Hao, Chanjuan Chen, Qun Liu, Dan He

“…BackgroundThis study aimed to investigate the relationship between the Composite Dietary Antioxidant Index (CDAI) and the prevalence of Parkinson’s disease (PD), as well as to explore its relationship with all-cause mortality risk in PD patients.MethodsData from the National Health and Nutrition Examination Survey (NHANES) database spanning from 2007 to 2018 were used, including 119,609 participants. …”
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Gene circuit analysis of the terminal gap gene huckebein. by Maksat Ashyraliyev, Ken Siggens, Hilde Janssens, Joke Blom, Michael Akam, Johannes Jaeger

“…Gap gene circuits are mathematical models of gene networks used as computational tools to extract regulatory information from spatial expression data. …”
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Dietary antioxidants and obesity: a new perspective on the role of composite dietary antioxidant index in reducing obesity risk using a dual-criteria definition by Yi-Qian Chen, Chen Wang, Yi-Jie Zhang, Yue-Yang Zhang

“…ObjectiveTo investigate the association between the Composite Dietary Antioxidant Index (CDAI) and obesity defined by both BMI and waist circumference (WC).MethodsThis was a cross-sectional study using data from the National Health and Nutrition Examination Survey (NHANES) 2009–2018. …”
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Matrix-based method to update incomplete multigranulation three-way regions with increasing objects by Chengxiang Hu, Haoran Zhang, Xingpeng Kuai, Xiaoling Huang, Xiaojing Hu

“…From the perspective of granular computing, how to acquire the valuable knowledge in the context of dynamic incomplete data presents a significant challenge. …”
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Event-Triggered Secure Control Design Against False Data Injection Attacks via Lyapunov-Based Neural Networks by Neslihan Karas Kutlucan, Levent Ucun, Janset Dasdemir

“…This paper presents a secure control framework enhanced with an event-triggered mechanism to ensure resilient and resource-efficient operation under false data injection (FDI) attacks on sensor measurements. …”
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THE FOURTH INDUSTRIAL REVOLUTION „INDUSTRY 4.0” by Alin STĂNCIOIU

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Development of a nomogram based on body composition and tumor burden indicators to predict lymph node metastasis in patients with T1 esophageal squamous cell carcinoma by Qingwen Liu, Junxi Hu, Lin Liu, Wenbo He, Jiaqi Hou, Yusheng Shu, Xiaolin Wang

“…Methods A retrospective analysis was conducted on clinical data and CT imaging of 243 patients with histologically confirmed T1 ESCC who underwent radical surgery. …”
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Analysis of Plant Breeding on Hadoop and Spark by Shuangxi Chen, Chunming Wu, Yongmao Yu

“…Analysis of crop breeding technology is one of the important means of computer-assisted breeding techniques which have huge data, high dimensions, and a lot of unstructured data. …”
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Generating graph perturbations to enhance the generalization of GNNs by Sofiane Ennadir, Giannis Nikolentzos, Michalis Vazirgiannis, Henrik Boström

“…Such models need large amounts of training data, however, in several graph classification and regression tasks, only limited training data is available. …”
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Correlations in microbial abundance data reveal host-bacteria and bacteria-bacteria interactions jointly shaping the C. elegans microbiome by K. Michael Martini, Satya Spandana Boddu, Megan N. Taylor, Ilya Nemenman, Nic M. Vega

“…We end with a discussion of the limitations of Lotka-Volterra type assumptions for microbial community data analysis revealed by our results.…”
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Anatomy, ploidy level, and essential oil composition of <i>Hyssopus officinalis</i> ʻNikitskiy Beliyʼ <i>in vitro</i> and <i>ex situ</i> by I. V. Bulavin, N. N. Ivanova, N. N. Miroshnichenko, N. M. Saplev, S. A. Feskov

“…Clonal micropropagation is a biotechnological method for plant multiplication. The existing data on the structure of organs in vitro, genetic stability, and essential oil composition are limited for Hyssopus officinalis L., so this study was aimead at investigating these aspects under a short period of in vitro culturing.Materials and methods. …”
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Screen time among preschoolers: exploring individual, familial, and environmental factors by Sangha Lee, Donghee Kim, Yunmi Shin

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