Drivers Of Deforestation And Forest Degradation In Palawan, Philippines: An Analysis Using Social-Ecological Systems (SES) And Institutional Analysis And Development (IAD) Approach... by Ronnel C. Nolos, Akhmad Zamroni, Kathleen Faith P. Evina

“…This paper analyzed these drivers of deforestation and forest degradation in Palawan using the social-ecological systems (SES) and institutional analysis development (IAD) frameworks. A literature review was conducted using a variety of web-based databases and sources and additional data were collected from official websites and reports. …”
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Development of a Predictive Model for Metabolic Syndrome Using Noninvasive Data and its Cardiovascular Disease Risk Assessments: Multicohort Validation Study by Jin-Hyun Park, Inyong Jeong, Gang-Jee Ko, Seogsong Jeong, Hwamin Lee

“…ObjectiveThis study aimed to develop and validate a predictive model for metabolic syndrome using noninvasive body composition data. …”
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Cohort protocol: risk assessment of maternal inflammation and early brain development in infants and young children based on multi-source data modeling by Xianghui Huang, Xianghui Huang, Cuimin Su, Ying Lin, Ying Lin, Tianyi Zhou, Ruming Ye, Ruming Ye, Dan Li, Dan Li, Miaoshuang Liu, Guanhong Wu, Wanting Li, Namei Xie, Xiaofang Deng, Nanxi Zhu, Shaohong Lin, Qin Li, Kai Yan, Deyi Zhuang, Deyi Zhuang

“…Therefore, it is of great significance to evaluate the risk of maternal inflammation to early brain development in infants and young children based on multi-source data modeling to understand the mechanism of early development and prevent brain development disorders.Methods and analysisBetween December 2021 and May 2024, 360 pairs of pregnant women and their offspring were recruited into the Xiamen Children's Brain Development Cohort. …”
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Development of a New Questionnaire to Assess the Social Impact of Non-communicable Diseases by Ishani Hanspal, Farah Naaz Fathima, Karthik Murali, Abhay Sood, Fathima Ayoob, Tinku Thomas

“…The aim of the study was to develop and validate a comprehensive questionnaire to assess the social impact of NCDs. …”
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A study on the impact of digital infrastructure development on the health of low-income rural residents: based on panel data from 2010 to 2022 by Qian Wang, Zhen Ning, Meichun Tan

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Development of Novel Soil Salinity Spectral Index Using Remotely Sensed Data: A Case Study on Balod District, Chhattisgarh, India by Deshpande Vaibhav Prakashrao, Ahmad Ishtiyaq, Singh Chandan Kumar

“…The results showed that the existing spectral indices had a weak correlation with field EC values. Therefore, we have developed the new index by combining the Near Infrared surface reflectance, redsurface reflectance, and Shortwave Infrared-1 surface reflectance bands and using a linear regression analysis.The soil salinity classification was used to categorize the new index. …”
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TRENDS OF DEVELOPING AGRICULTURE AND SMALL AGRICULTURAL ENTERPRISES IN CONDITIONS OF NEO-INDUSTRIALIZATION AND ENHANCING PROCESSES OF INVESTMENT AND INNOVATION IN THIS SPHERE by Sergey V. Golodov, Natal'ya S. Vasilevskaya, Tatyana E. Platonova, Vera E. Afonina

“…The analysis of statistic data of agricultural  producers’ work allows us to say that positive results in the  development of this industry can be reached by increase in investment and continuous state support. …”
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Pan-cancer predictive survival model development and evaluation using electronic health record and genetic data across 10 cancer types by Jurgita Gammall, Alvina G. Lai

“…Genetic data collected through the 100,000 Genomes Project was linked with clinical and demographic data provided by the National Cancer Registration and Analysis Service, Hospital Episode Statistics and Office for National Statistics. …”
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Limited Performance of Machine Learning Models Developed Based on Demographic and Laboratory Data Obtained Before Primary Treatment to Predict Coronary Aneurysms by Mi-Jin Kim, Gi-Beom Kim, Dongha Yang, Yeon-Jin Jang, Jeong-Jin Yu

“…Various supervised machine learning algorithms were applied to develop a model for predicting CAA. Afterward, unsupervised learning techniques were employed to explore the data’s inherent structure. …”
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Development of the index of idiopathic lobular panniculitis activity on the basis of the clinical and laboratory characteristics of a series of clinical observations (the authors'... by O. N. Egorova, B. S. Belov, S. I. Glukhova, S. G. Radenska-Lopovok

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The Requirements and Development Potential of Interdisciplinary Digital Health Data Exchange in Mobile Nursing and Care Settings in German-Speaking Countries: Delphi Study by Verena Kollmann, Nathalie Traugott, Susanne Hensely-Schinkinger, Doris Zeidler, Elisabeth Haslinger-Baumann

“…Interviews were analyzed using qualitative content analysis to derive key findings and thematic groups. …”
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A General Framework for Developing a Comprehensive Health Risk Assessment Method for Nanomaterials-Related Activities: A Critical Analysis by Soqrat Omari Shekaftik, Abbas Sheikhtaheri, Esmaeil Zarei, Somayeh Farhang Dehghan, Neda Mehrparvar, Farideh Golbabaei

“…Accordingly, this study aims to propose a general framework for the development of such methods. Material and Methods: This is a critical analysis study designed to evaluate existing methods for assessing occupational risks related to nanomaterials and ultimately propose a modified framework for refining these methods. …”
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Factorizing social advanced aspects in modern life on human health by Phan Yen Ngan Nguyen, Hai Dung Dinh, Hong Ngoc Tran

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Factorizing social advanced aspects in modern life on human health by Phan Yen Ngan Nguyen, Hai Dung Dinh, Hong Ngoc Tran

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Evaluating the Influence of Clinical Data on Inter-Observer Variability in Optic Disc Analysis for AI-Assisted Glaucoma Screening by Pourjavan S, Bourguignon GH, Marinescu C, Otjacques L, Boschi A

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Development and Evaluation of a Turkish Language Version of the Relational Health Indices by Nesime Can, Abdulkadir Haktanır, A. Stephen Lenz, Joshua C. Watson

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Analysis of Organic Farming Sector in Romania by Raluca Andreea ION

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Automated diabetes detection prediction system based on patients’ medical data by S.V. Pidopryhora, Yu.V. Bogoyavlenska

“…Given the continuous growth of medical data volumes, there is a clear need for modern information technologies capable of automating disease analysis and prediction processes. …”
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Data‐driven prediction of prolonged air leak after video‐assisted thoracoscopic surgery for lung cancer: Development and validation of machine‐learning‐based models using real‐worl... by Saori Tou, Koutarou Matsumoto, Asato Hashinokuchi, Fumihiko Kinoshita, Hideki Nakaguma, Yukio Kozuma, Rui Sugeta, Yasunobu Nohara, Takanori Yamashita, Yoshifumi Wakata, Tomoyoshi Takenaka, Kazunori Iwatani, Hidehisa Soejima, Tomoharu Yoshizumi, Naoki Nakashima, Masahiro Kamouchi

“…This study aimed to develop and validate a machine‐learning‐based model for predicting clinical outcomes using real‐world data from an electronic clinical pathway (ePath) system. …”
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Effects of Rural Tourism on Rural Development: Hajij Village in Kermanshah by Hamid jalalian, fariosh namdari, Asghar pashazadeh

“…The reliability of the questionnaire was calculated at 0.867 using Cranach’s alpha test based on 20 pretesting. Data analysis was held by factor analysis in SPSS 21 software. …”
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