Impacts of spatial variability in urban hydrological modelling: a case study of the Canal do Mangue Basin in Rio de Janeiro, Brazil by James de Melo Sampaio Júnior, Marcelo de Miranda Reis, Igor da Silva Rocha Paz

“…ABSTRACT This study analyzes spatial and rainfall variability of an urban basin using the Stormwater Management Model (SWMM), a semi-distributed and open-source hydrological tool. The Canal do Mangue Basin (CMB) in the city of Rio de Janeiro, Brazil, was modelled with three map resolutions, varying the numbers of sub-basins, and three rainfall spatialization methods: arithmetic mean, Thiessen polygons, and Inverse Distance Weighted (IDW). …”
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First Report on the Artificial Cultivation Techniques of <i>Buchwaldoboletus xylophilus</i> (Boletales, Boletaceae, <i>Buchwaldoboletus</i>) in Southwest China by Tianwei Yang, Hongjun Mu, Liming Dai, Jing Liu, Xinjing Xu, Feng Gao, Yiwei Fang, Sipeng Jian, Mingxia He, Chunxia Zhang

“…The results show that the optimal carbon source, nitrogen source, and inorganic salt for the mycelium growth of <i>B. xylophilus</i> were maltose, ammonium tartrate, and magnesium sulfate, respectively. …”
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Improving Soil Moisture Estimation by Integrating Remote Sensing Data into HYDRUS-1D Using an Ensemble Kalman Filter Approach by Yule Sun, Quanming Liu, Chunjuan Wang, Qi Liu, Zhongyi Qu

“…Reliable soil moisture projections are critical for optimizing crop productivity and water savings in irrigation in arid and semi-arid regions. …”
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Influence of low-intensity artificial light on the fatty acid profile of the biotechnologically important culinary mushroom Pleurotus eryngii in vitro by Oksana Mykchaylova, Aleksander Besarab, Anatoliy Negriyko, Margarita Lomberg, Natalia Poyedinok

“…This study aimed to compare and evaluate the fatty acid profile and fat quality indices of lipids from the mycelial mass of Pleurotus eryngii under various light-emitting diode (LED) and laser light irradiation regimes. Methods To determine the effect of artificial light on the biosynthetic activity of P. eryngii, an artificial lighting system based on LED matrices with wavelengths of 470 nm (blue), 530 nm (green), and 650 nm (red), as well as an argon gas laser as a coherent visible light source at 488 nm, was used. …”
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Regional disparities and influencing factors of health production efficiency: evidence from China by Hongwei Li, Ruixin Wang, Hongliang Wang

“…Intra-regional disparities remain the primary source of the overall differences in health production efficiency across China. …”
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Enhancing patient education on the role of tibial osteotomy in the management of knee osteoarthritis using a customized ChatGPT: a readability and quality assessment by Stephen Fahy, Stephan Oehme, Danko Dan Milinkovic, Benjamin Bartek

“…Two ChatGPT-4 models were compared: a native version and a fine-tuned model (“The Knee Guide”) optimized for readability and source citation through Instruction-Based Fine-Tuning (IBFT) and Reinforcement Learning from Human Feedback (RLHF). …”
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Application of the Bionic Concept in Reducing the Complexity Noise and Drag of the Mega High-Speed Train Based on Computer Simulation Technologies by He-xuan Hu, Bo Tang, Ye Zhang

“…Obviously, the bogie area is the major noise source of the train. Aerodynamic noise of the bionic train in far-field comprises a wide-frequency range. …”
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Stabilizing training of affine coupling layers for high-dimensional variational inference by Daniel Andrade

“…As the source of the problem, we identify that, during training, samples often exhibit unusual high values. …”
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Fault Diagnosis of Hot Rolling Equipment Under Uncertain Conditions Based on Cloud Rough Model, Game Theory, and Improved GRA-TOPSIS by Bo Hu, Yongjun Zhang, Fengwei Jing

“…This study proposes a novel fault evaluation framework: first, a cloud rough model is adopted to handle multi-source uncertainties in expert evaluations; second, game theory is used to optimize the combined weights of subjective and objective criteria; finally, an improved Grey Relational Analysis-Technique for Order Preference by Similarity to Ideal Solution (GRA-TOPSIS) method constructs a dual-scale measurement model by fusing grey relational degree and Euclidean distance, effectively reducing the influence of geometric sequence similarity and distance on fault prioritization and enhancing the robustness of ranking results under complex working conditions. …”
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Application of open domain adaptive models in image annotation and classification. by Sheng Li, Zhousheng Chang, Haizhen Liu

“…To this end, the study proposes an adaptive image annotation classification model for open-set domains based on dynamic threshold control and subdomain alignment strategy to address the impact of the difference between the source and target domain distributions on the classification performance. …”
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The DHA supplementation during pregnancy: benefits and risks - review by Justyna Dutkiewicz, Wiktoria Mączyńska, Michał Wijata, Anna Maria Wijata, Zuzanna Adriana Przybyłek-Stępień, Ryszard Bartosiński, Jan Szustak, Maria Kąpa, Bartosz Szepietowski, Jakub Marek Kaźmierczak, Ewelina Rycerz, Piotr Pasek

“…The present paper reviews the literature on the biological significance of DHA during pregnancy, as well as the sources of this nutrient and its requirement. The benefits of taking DHA are also presented. …”
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Enhancing Crop Type Mapping in Data-Scarce Regions Through Transfer Learning: A Case Study of the Hexi Corridor by Jingjing Mai, Qisheng Feng, Shuai Fu, Ruijing Wang, Shuhui Zhang, Ruoqi Zhang, Tiangang Liang

“…The results demonstrated that during the transfer learning process using only source domain data—without utilizing any target domain data—the overall classification accuracy reached 73.88%, with optimal accuracies for maize and alfalfa at 88.97% and 85.23%, respectively. …”
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Analysis of the state of geometrization development and digital modeling in open-pit mining enterprises by M.S. Kunytska, D.S. Polishchyk, O.V. Shapochnikov

“…The research methodology was a system analysis, statistical data processing and the study of scientific sources on the digitalization of the mining industry. …”
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A predictive framework using advanced machine learning approaches for measuring and analyzing the impact of synthetic agrochemicals on human health by Sahezpreet Singh, Puneet Kaur, Inderdeep Kaur, Gurpreet Singh, Satinder Kaur, Parminder Kaur

“…Furthermore, Particle Swarm Optimization (PSO) and Genetic Algorithm (GA) used for model optimization. …”
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Model Retrieval Based on Simulated Annealing Algorithm by GAO Xueyao, TAN Tao, ZHANG Chunxiang

“…Based on this optimal matching sequence of faces, the similarity between source model and target one is calculated. …”
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Sweroside: unveiling broad therapeutic potential—from mechanistic insights to clinical potential by Liu Peng, Man Zuo, Tian Qiu, Wenying Lan, Yue Wen, Xiao-Qin Ye

“…The study examined Sweroside’s sources, distribution, biosynthesis, pharmacodynamics, and therapeutic applications. …”
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Comparative analysis of goat and bovine milk proteins in the improvement of sarcopenia based on host-microbial interactions by Ruoyu Wang, Yuxin Ma, Meng Sun, Lutong Li, Zhaofeng Zhang

“…IntroductionDiet intervention, especially supplementation with high-quality protein, is considered to be a critical strategy in sarcopenia. However, different sources and types of protein have different health impacts.ObjectivesThe aim of this study is to explore the differences in the ameliorative effects and mechanisms of different sources and types of proteins on sarcopenia, providing an optimal path for the prevention and treatment of sarcopenia.MethodsA sarcopenia model was established by intraperitoneal injection of dexamethasone (5 mg/kg). …”
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Evaluation of Adulticidal Clorine with Black Sand, White Sand and Silica Sand for Decline Coliform Bacteria by Rezania Asyfiradayati, Eni Budiyati, Mitoriana Porusia, Muhammad Rivandi Athaya, Afnan Zain Muzakki, Jenita Berlian Nindyasari, Siti Rohana Mohd Yatim

“…Methods: The study population comprised all water sources in the Pabelan Kartasura Sukoharjo Village area, with a total sample volume of 720 litres. …”
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Economic Evaluation of the Investment in Sensor Equipment Based on Data Valuation in Prediction Model by Jeong-Gi Lee, Deok-Joo Lee

“…Through numerical experiments using real-world semiconductor manufacturing data, we demonstrate that sensor selection based on economic value can lead to significantly different outcomes compared to conventional methods. Our findings show the importance of considering both economic benefit and cost factors in sensor selection, particularly in applications involving multiple sensor clusters or heterogeneous data sources.…”
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Problems of Scientometrics and its Suitability for Management Scientific Activity in Modern Russia by А. V. Grinev

“…The research is based on both general scientific theoretical methods: induction and deduction, analysis and synthesis, systems approach, social modeling, comparative typological and comparative analytical methods, and practical methods: working with documents, analysis of printed and electronic sources of information, content analysis and bibliographic combination of documents. …”
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