Study on the changes and influencing factors of depression in Chinese women with cancer: an analysis based on CHARLS panel data by Na Wang, Mengran Chang, Shidong Liu, Bing Chen

“…However, previous studies have largely focused on teenage girls, perimenopausal women, or women during pregnancy and the postpartum period, neglecting the adverse effects of major diseases, which is detrimental to enhancing the psychological well-being of women with cancer.ObjectiveBased on cancer impacts, this study aims to clarify the depressive state, development trends, and influencing factors in Chinese women with cancer, a group particularly susceptible to depression, to provide decision-making references for improving their psychological well-being.MethodsUsing follow-up panel data from five waves of China Health and Retirement Longitudinal Study (CHARLS), Chinese women with cancer who had complete observed values were selected as research subjects. …”
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Fast-track analysis of beetroot using the liquid generated during the cooking processOpen Data is available at under the name “UBU-Polymers Research Group 02062025″. by María Gaona-Ruiz, Saúl Vallejos, Ana Rodríguez, Miriam Trigo-López, Celia Carrillo

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The Influence of Participatory Technology and Institutional Participation of Farmer Groups on Farmer Business Development by Ugik Romadi, Gunawan Gunawan, Falah Haris Mohammad

“…Then the data analysis used is multiple linear regression analysis using the ordinary least square method including data tabulation, estimation of multiple linear regression models, classical assumption tests, regression feasibility tests, and interpretation of multiple linear regression models. …”
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Spatio-temporal variability analysis for climatic factors in urban districts with statistical trend line data estimates for sustainable development by Saloni Mangal, Renu Dhupper, Maya Kumari, Vipan Kumar Verma, Deepak Kumar

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The influence of legal compliance in farmer group on the growth and development of sustainable mangrove ecosystem by E.K. Purwendah, N.A. Sasongko, H. Susanto, R. Mawardi, T. Cahyono, H.L. Susilawati, T. Wahyuni, D. Juhandi, T. Rahman, A. Gustina, I.D.S. Triana, E. Pudyastiwi, O. Kusumaningsih, T. Martini

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Identification of interlayer and connectivity analysis based on machine learning and production data: A case study from M oilfield by Xiaoshuai Wu, Yuanliang Zhao, Jianpeng Zhao, Shichen Shuai, Bing Yu, Junqing Rong, Hui Chen

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Development of a Sociodrama Technique Guide in Group Counseling to Enhance Interpersonal Intelligence by Ardilla Indah Mustia, Muhammad Riza Darwin, Nindya Ayu Pristianti

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PHYSICAL DEVELOPMENT AND PHYSICAL FITNESS OF FEMALE STUDENTS FROM THE UNWE’S BASKETBALL GROUPS by L. Kasabova

“…At the beginning and end of the experiment, testing of key indicators of physical development and fitness was conducted. The data obtained were processed by variation analysis. …”
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Energy landscape analysis of health checkup data clarified multiple pathways to diabetes development in obese and non-obese subjects by Ryo Ito, Makito Oku, Iwao Kimura, Iwao Kimura, Takayuki Haruki, Takayuki Haruki, Masataka Shikata, Tsuyoshi Teramoto, Daisuke Chujo, Minoru Iwata, Minoru Iwata, Shiho Fujisaka, Yoshiki Nagata, Takashi Yamagami, Makoto Kadowaki, Kazuyuki Tobe, Shigeru Saito, Keiichi Ueda, Keiichi Ueda

“…There was a significant difference between the preferences of the two groups (p = 0.0085, chi-squared test). Two distinct pathways were also observed for obese and non-obese individuals with diabetes.ConclusionsWe demonstrated that ELA could indicate different pathways of diabetes development in obese and non-obese individuals in a data-driven manner. …”
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Mathematical modeling and analysis of export trends for certain pharmaceutical groups by А. R. Shaikhislamova, N. А. Gasratova

“…An alternative approach to regression analysis was developed. Technical data analysis was performed using MAPLE (Watcom Products Inc., Canada) and R (Bell Laboratories, USA) software.Results. …”
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DNEA: an R package for fast and versatile data-driven network analysis of metabolomics data by Christopher Patsalis, Gayatri Iyer, Marci Brandenburg, Alla Karnovsky, George Michailidis

“…These were implemented in CorrelationCalculator and Filigree, two software tools for the analysis of metabolomics data we developed previously. …”
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Ten simple rules for queer data collection and analysis by STEM researchers. by Dori M Grijseels, M Banqueri, Keerthana Iyer, Lee Hanlin, Melanie Ortiz Alvarez de la Campa, David Pagliaccio, Bittu K Rajaraman, Eitan Schechtman, ALBA Network Gender & Sexual Diversity Working Group

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Development of an Intelligent System for Processing Semistructured Data: Industry Structuring and Advanced Analysis of Information Extracted from Comments to Video Clips in Social... by A. A. Poguda, H. Tape

“…The results of the study allowed us to develop a prototype of a comment analysis tool that effectively collects   and structures data from various social networks. …”
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Gastroenteritis Therapies in Developed Countries: Systematic Review and Meta-Analysis. by Stephen B Freedman, Dion Pasichnyk, Karen J L Black, Eleanor Fitzpatrick, Serge Gouin, Andrea Milne, Lisa Hartling, Pediatric Emergency Research Canada Gastroenteritis Study Group

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Using Simulation-based Inference on Tidally Perturbed Dwarf Galaxies: The Dynamics of NGC 205 by Axel Widmark, Kathryn V. Johnston

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The role of development and financial risk in agricultural energy consumption: an empirical analysis based on country panel data and smooth transition regression by M. Amiri, S. N. Mousavi, R. Moghaddasi

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The importance of personal data protection in Indonesia’s economic development by Ari Wibowo, Widya Alawiyah, Azriadi

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ANALYSIS OF CRISIS STRATEGIES IN THE CONDITIONS OF MODERN HYBRID WAR by О. Shvydanenko, G. Duginets, O. Tkachenko, A. Kotenok, T. Busarieva

“…Keywords: hybrid war, strategies, knowledge economy, competition, global development, matrix of initial data. JEL Classification D83, J24, O30 Formulas: 0; tabl.: 3; fig.: 0; bibl.: 15. …”
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CLINICAL DATA ANALYSIS ON THE ASSOCIATION BETWEEN PERIODONTAL DISEASE, THE DEVELOPMENT OF ORAL SQUAMOUS CELL CARCINOMA AND ORAL POTENTIALLY MALIGNANT DISORDERS by Teodora Bolyarova-Konova, Zornitsa Mihailova, Angel Adamov, Pavel Stanimirov, Samuil Dzhenkov, Konstantin Stamatov, Evgeniy Aleksiev

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Postpartum Haemorrhage Risk Prediction Model Developed by Machine Learning Algorithms: A Single-Centre Retrospective Analysis of Clinical Data by Wenhuan Wang, Chanchan Liao, Hongping Zhang, Yanjun Hu

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