Machine learning and spatio-temporal analysis of meteorological factors on waterborne diseases in Bangladesh. by Arman Hossain Chowdhury, Md Siddikur Rahman

“…Therefore, this study aimed to fill this gap by investigating the spatio-temporal pattern and identifying the best tree-based ML models for determining the meteorological factors associated with waterborne diseases in Bangladesh.<h4>Methods</h4>This study used district-level reported cases of waterborne diseases (cholera, amoebiasis, typhoid and hepatitis A) obtained from the Bangladesh Bureau of Statistics (BBS) and meteorological data (temperature, relative humidity, wind speed, and precipitation) sourced from NASA for the period spanning 2017 to 2020. …”
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Impact of artificial intelligence-driven urban renewal strategies green economic efficiency and resident health in China by Jing Peng, Xin Fu, Yufan Peng, Yang Ding

“…It further explores how industrial structure rationalization, upgrading, and technological innovation capacity moderate these effects, aiming to provide actionable insights for sustainable urban governance.MethodsTo account for potential policy spillover effects, the study adopts a Difference-in-Differences (DID) approach integrated with a Spatial Durbin Model (SDM). …”
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The Therapeutic Potential of Cannabidiol in the Management of Temporomandibular Disorders and Orofacial Pain by Karolina Walczyńska-Dragon, Anna Kurek-Górecka, Jakub Fiegler-Rudol, Aleksandra Nitecka-Buchta, Stefan Baron

“…Relevant studies were sourced from PubMed, Scopus, and Web of Science databases. …”
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BoostPolyGlot: A Structured IR Generation-Based Fuzz Testing Framework for GCC Compiler Frontend by Hui Liu, Hanbin Guo, Peng Liu, Tongding Hou

“…The compiler serves as a bridge connecting hardware architecture and application software, converting source code into executable files and optimizing code. …”
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Evaluation of grain yield and quality in maize hybrids of various origin under the conditions of Primorsky Territory by E. S. Butovets, I. N. Danilenko, N. A. Kraskovskaya

“…This study was dedicated to the evaluation and selection of maize hybrids of different origin for important agronomic traits and for protein and oil accumulation in grain under the conditions of Primorsky Territory, as well as for their possible use as source material for breeding.Materials and methods. …”
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Design of e-commerce product price prediction model based on generative adversarial network with adaptive weight adjustment by Abuduaini Abudureheman, Yan Zhao, Aishanjiang Nilupaer

“…Moreover, the AWA-CWGAN algorithm surpasses baseline methods in accuracy (88.8%), precision (88.81%), recall (89.255%), and F1 score (87.95%). …”
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Association between out-of-pocket health expenditure and the disease burden of diabetes mellitus: insights from GBD 2021 by Luyou Dong, Zhifu Dong

“…This study analyzes the relationship between out-of-pocket (OOP) expenditure levels and the disease burden of diabetes mellitus, provides evidence-based recommendations for optimizing OOP expenditure strategies, and seeks to uncover any potential impact of healthcare inequalities on the disease burden of diabetes mellitus.MethodsThis cross-sectional study was performed among 36 countries with varying percentages of OOP payments from Health System in Transition. …”
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Emphasizing Grey Systems Contribution to Decision-Making Field Under Uncertainty: A Global Bibliometric Exploration by Andra Sandu, Paul Diaconu, Camelia Delcea, Adrian Domenteanu

“…The systems have a strong contribution in the decision-making field under uncertainty, by identifying the connection between variables and optimizing the process of choosing the strategies. With time, the methods offered by the grey systems theory have faced a continuous adoption process in various research fields associated with decision-making. …”
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Fabrication and characterization of rubcrete-iron composite for mixed radiation shielding by Lawrence Otieno Ochieng, Nadir Omar Hashim, Jeremiah Monari Kebwaro, Dickson Andala

“…The material’s photon and neutron shielding characteristics were evaluated through experimental and simulation methods. Gamma-ray attenuation measurements were experimentally carried out using a NaI(TI) spectrometer and a Cs-137 0.662 MeV energy source. …”
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Designing Teaching Materials for Children's Parties Clothing Based on Comics by Erni, Yudhistira Anggraini, Armaini Rambe, Novita, Muhibbuddin

“…Data analysis techniques used include qualitative data analysis with descriptive methods and quantitative data analysis with validity and feasibility tests. …”
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Predicting child mortality determinants in Uttar Pradesh using Machine Learning: Insights from the National Family and Health Survey (2019–21) by Pinky Pandey, Sacheendra Shukla, Niraj Kumar Singh, Mukesh Kumar

“…Aim: This study aimed to delineate spatial variations in under-five mortality across Uttar Pradesh and evaluate the efficacy of various machine learning algorithms in identifying critical determinants influencing these mortality rates. Methods: The study utilized data from the National Family and Health Survey (NFHS) - V. …”
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Structural and ion transport characteristics of transparent proton conducting biopolymer electrolytes based on chitosan and cold water fish skin gelatin by Peshawa O. Hama, Shujahadeen B. Aziz, Omed Gh. Abdullah

“…The ion conductor films were characterized by various methods including XRD, FTIR and EIS. The area under crystalline and amorphous peaks in the XRD patterns were determined and used to estimate the degree of crystallinity. …”
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The impact of digital economy development on carbon emission efficiency of land use in China by ZUO Xinfeng, CHEN Xinjian, ZHANG Xiekui

“…[Methods] Based on the panel data of 282 prefecture-level and above cities in China from 2006 to 2020, this study applied the undesirable super-efficiency slacks-based measure (SBM) model, two-way fixed effects model, and mediation effect model to reveal the impact of digital economic development on the carbon emission efficiency of land use and to elucidate the underlying mechanisms. …”
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COMMUNICATION STRATEGIES AND TACTICS IN CRISIS SITUATIONS by Olena Danylina

“…The case-study analysis identified three overarching tactics of media behaviour: operational–informational (rapid dissemination of verified facts), analytical–interpretative (contextual explanation of cause-and-effect links), and mobilisation-oriented (stimulating collective action). Their optimal mix depends on crisis dynamics, while maximum effectiveness requires transparent sourcing, coordination with official bodies, and algorithmic content monitoring. …”
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Statistic Model of Homodyne Acousto-Optic Spectrum Analyzer by L. A. Aronov, Yu. S. Dobrolensky, G. V. Kulak

“…The homodyne acousto-optic spectrum analyzer single-signal dynamic range is determined primarily by the photosensor saturation charge. One needs to optimize their relation by taking into account light source power, acousto-optical modulator diffraction efficiency and photosensor saturation charge. …”
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Organic Photoelectric Materials and Organic Photoelectric Devices Based on Smart Image Sensors by Gang Huang

“…In recent years, new effective methods have been obtained to regulate the properties of excited states through physical stimulation (such as mechanical force, temperature, electric field, and magnetic field). …”
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Network Congestion Tracking and Detection in Banking Industry Using Machine Learning Models by Kingsley Ifeanyi Chibueze, Nwamaka Georgenia Ezeji, Nnenna Harmony Nwobodo-Nzeribe

“…Future recommendations include leveraging advanced ML techniques like deep learning and reinforcement learning and exploring ensemble learning methods to enhance congestion detection models further. …”
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Study of Purified Cellulosic Pulp and Lignin Produced by Wheat Straw Biorefinery by Kalvin Durand, Rodrigue Daassi, Denis Rodrigue, Tatjana Stevanovic

“…Its frequent application as a fuel source leads to air, water, and soil pollution. Limited literature exists on methods for separating components of residual wheat straw. …”
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Enhancing Emergency Response in Road Accidents: A Severity Prediction Framework Using RF-RFE and Deep Learning Model by Chaimaa Chaoura, Hajar Lazar, Zahi Jarir

“…This deep learning model significantly outperforms traditional machine learning methods, achieving accuracy score of 94.99%. Finally, a Shapley Additive Explanations (SHAP) analysis ensures interpretability by identifying key factors influencing accident severity. …”
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Exploring Current Practices, Challenges, and Innovations in the Nutrition and Feeding of Neonates, Including the Use of Human Milk, Fortifiers, and Formula: A Clinical Study by Partha K. Chaudhuri, Abha Madhur, Kumar Anshu, Shiromani Kumari, Ashutosh, Jyotsna Singh, Barapatla Sarangam, Pratik Sarkar

“…This study aims to explore current practices, challenges, and innovations in the nutrition and feeding of neonates, focusing on the utilization of human milk, fortifiers, and formula. Materials and Methods: A retrospective clinical study was conducted at a tertiary care NICU over a period of two years. …”
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