Systematic Exploration of the Effect of Urban Green Space on Land Surface Temperature: A Scientometric Analysis by Tingting Zhu, Xinyi Wang, Yifei Luo, Hui Qiu

“…Although numerous studies have explored the impact of UGSs on the LST, a systematic understanding of the research scope, knowledge network structure, data sources, main methods, and frontier trends in this field is lacking. …”
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Prevalence of anxiety and depression in former elite athletes: a systematic review and meta-analysis by Adam Runacres, Zoe A Marshall

“…Objectives To summarise the evidence regarding the prevalence of anxiety and depression in former elite athletes compared with the general population.Design Systematic review and meta-analysis.Data sources Five electronic databases (Web of Science, PubMed, MEDLINE, Scopus and SPORTDiscus) were searched from 1970 to 2023.Eligibility criteria Studies were included in the meta-analysis if they: (1) were written in English; (2) included male or female elite athletes that had been retired ≥1 year; (3) included a control group or population reference values; (4) reported the time-point prevalence of anxiety and/or depression; and (5) were of a retrospective, longitudinal or prospective, methodological design. …”
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Prediction of electricity production by small wind power using artificial neural networks by Justyna Zalewska-Lesiak, Mateusz Oszczypała, Jerzy Małachowski

“…IntroductionWind energy is one of the most significant and rapidly growing renewable energy sources worldwide. It is a clean and environmentally friendly form of energy production, which emits no harmful substances or greenhouse gases during the power generation process. …”
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Integrating Radon/Thoron and Gamma Radiation Exposure for a Realistic Estimation of Dose Arising from Building Materials by Mirsina M. Aghdam, Quentin Crowley

“…This approach enables the comparison of combined dose values with accepted radiation thresholds for building materials, typically set at 1 mSv, alongside data on material compositions. …”
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Enhanced HER-2 prediction in breast cancer through synergistic integration of deep learning, ultrasound radiomics, and clinical data by Meijuan Hu, Lianying Zhang, Xiao Wang, Xuehua Xiao

“…The LightGBM and ResNet101 models showed high performance, but the combined model achieved the highest AUC values in both training and testing, demonstrating the effectiveness of integrating diverse data sources. …”
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pH-Controlled Yeast Protein Precipitation from <i>Saccharomyces cerevisiae</i>: Acid-Induced Denaturation for Improved Emulsion Stability by Laura Riedel, Nico Leister, Ulrike S. van der Schaaf

“…In the search for alternative protein sources, single cell proteins have gained increasing attention in recent years. …”
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Maximizing Bifunctionality for Overall Water Splitting by Integrating H2 Spillover and Oxygen Vacancies in CoPBO/Co3O4 Composite Catalyst by Rinkoo Bhabal, Aniruddha Bhide, Suraj Gupta, Rohan Fernandes, Nainesh Patel

“…In the pursuit of utilizing renewable energy sources for green hydrogen (H2) production, alkaline water electrolysis has emerged as a key technology. …”
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Human as AI mentor: Enhanced human-in-the-loop reinforcement learning for safe and efficient autonomous driving by Zilin Huang, Zihao Sheng, Chengyuan Ma, Sikai Chen

“…In detail, HAIM-DRL leverages data collected from free exploration and partial human demonstrations as its two training sources. Remarkably, we circumvent the intricate process of manually designing reward functions; instead, we directly derive proxy state-action values from partial human demonstrations to guide the agents’ policy learning. …”
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Reliable smart models for estimating frictional pressure drop in two-phase condensation through smooth channels of varying sizes by M. A. Moradkhani, S. H. Hosseini, Mengjie Song, A. Abbaszadeh

“…Among them, the most accurate results were presented by the GPR approach with AARE and $$R^{2}$$ R 2 values of 4.10%, 99.23% respectively, in the testing step. …”
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A non-stationary downscaling and gap-filling approach for GRACE/GRACE-FO data under climatic and anthropogenic influences by Seyed Mojtaba Mousavimehr, Mohammad Reza Kavianpour

“…Abstract Gravity Recovery and Climate Experiment (GRACE) and GRACE Follow-On (GRACE-FO) are being increasingly used as valuable data sources for hydrological monitoring. However, their coarse spatial resolution is considered as a limitation for regional studies, especially in areas with remarkable hydroclimate variability. …”
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Optimized machine learning algorithms with SHAP analysis for predicting compressive strength in high-performance concrete by Samuel Olaoluwa Abioye, Yusuf Olawale Babatunde, Oluwafikejimi Abigail Abikoye, Aisha Nene Shaibu, Bailey Jonathan Bankole

“…The analysis utilized the “Concrete Compressive Strength” dataset, sourced from UC Irvine’s publicly available ML repository. …”
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STATE MANAGEMENT IN THE SPHERE OF AGRICULTURAL LANDS UTILIZATION IN RUSSIA by N. Kresnikova

“…The shares of financing in implementing the measures for the promotion of agricultural lands effective utilization are offered as follows: the Federal budget - 35%, budgets of the subjects of the Russian Federation - 35%, other sources - 30%.…”
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A hybrid deep learning framework for short-term load forecasting with improved data cleansing and preprocessing techniques by Muhammad Sajid Iqbal, Muhammad Adnan, Salah Eldeen Gasim Mohamed, Muhammad Tariq

“…The dynamic variations in connected loads and the intermittent nature of renewable energy sources significantly impact smart grid reliability. …”
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Dynamic Changes and Influencing Factors Analysis of Groundwater Icings in the Permafrost Region in Central Sakha (Yakutia) Republic under Modern Climatic Conditions by Miao Yu, Nadezhda Pavlova, Jing Zhao, Changlei Dai

“…Suprapermafrost water and intrapermafrost water are the main sources of icings in the study area. The total Groundwater Storage Anomaly (GWSA) values from October to April showed a strong correlation with the maximum icing areas. …”
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Socialism – how much is in that Word...!? by V. V. Tuzov, S. Yu. Kurtov

“…In the current conditions of the crisis of capitalism and liberal values, it is steadily increasing the relevance of the problem of choosing the way of development of society is steadily increasing. …”
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IMPERIAL MODEL OF EDUCATIONAL INTEGRATION FOR NATIONAL SUBURBS: NORTH CAUCASIAN SCHOOL IN THE SECOND HALF OF THE XIX - EARLY XX CENTURY by O. Shafranova, M. Trofimov

“…The substantive parameters of the educational process were determined by the central government, taking into account both the basic ideological values and the natural features of the internal mentality of the region in question. …”
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Issues of Developing the Socio-Philosophical Foundations of the Educational Space by Yu. Zhang, S. N. Tsaplin, I. V. Yakovleva

“…This need requires clarifying how and in what way, with the help of rational philosophical thought, it is possible and necessary to develop a methodology that unites the categorical apparatus of numerous educational systems.Methodology and sources. The description of the unified categorical foundations of the educational space is carried out in the ontological, epistemological and axiological content of the priorities represented by the modern educational space.Results and discussion. …”
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Drawing, design, and new images of the ephemeral architecture in Paris in 1739 by Vincenzo Cirillo, Carlo Di Rienzo, Ornella Zerlenga

“…<p>Since the most recent European provisions on the enhancement of Cultural Heritage, much emphasis is being placed on the preservation of the identity values of places, the recovery of local traditions, the virtualization of contexts and their inclusive use. …”
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Fading Roars? A Survey of the Cultural Use and Illegal Trade in Wild Felid Body Parts in Côte d’Ivoire by Robin Horion, Janvier Aglissi, Rob Pickles, Amara Ouattara, Marine Drouilly

“…The illegal trade is driven by the demand for felid products for traditional purposes, with both species holding strong symbolic values. Products were often trafficked through informal networks and sourced from Sahelian neighboring countries like Mali and Burkina Faso. …”
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Geometric properties of quantum entanglement and machine learning by S. V. Zuev

“…The datasets for analysis are taken from open sources. Data preprocessing was performed by the method of mapping features into numerical vectors, then the method of bringing the data to the desired dimension was applied. …”
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