Detecting and routing of dust event using remote sensing and numerical modeling in Isfahan Province by Mehdii Jafari, Gholamreza Zehtabian, Hasan Ahmadi, Tayebeh Mesbahzadeh, Ali Akbar Norouzi

“…The purpose of this research was to analyze the statistical data and identify the days with dust, the source of dust entering the Isfahan area, and identify the route of its movement. …”
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Genome-Wide Identification of the SMXL Gene Family in Common Wheat and Expression Analysis of TaSMXLs Under Abiotic Stress by Zunjie Wang, Zhengning Jiang, Heping Wan, Xueyan Chen, Hongya Wu

“…This study provides a theoretical foundation for understanding the functional roles of <i>SMXL</i> genes in wheat and offers valuable candidate gene resources for breeding stress-resistant wheat varieties.…”
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Specific nature of the integrative (complex) effect of environmental factors on hazelnut cultivars in the Russian humid subtropics by T. D. Besedina, A. P. Boyko, Ts. V. Tutberidze, N. S. Kiseleva

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Monitoring cognitive resilience in military personnel in extreme operational environments: The role of smart technologies and nutritional strategies-A scoping review protocol. by Rodica Siminiuc, Dinu Turcanu

“…Exposure to multiple stressors, including sleep deprivation, intense physical exertion, and limited access to food resources, can affect cognitive function and decision-making ability. …”
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Comparative Studies of Nonlinear Models and Their Applications to Magmatic Evolution and Crustal Growth of the Huai’an Terrane in the North China Craton by Qiuming Cheng, Min Gao

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Optimization design of concrete mix proportion based on support vector machine regression and enhanced genetic algorithm by Shuhong Zuo, Benyi Liu

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A probabilistic approach for building disease phenotypes across electronic health records by David Vidmar, Jessica De Freitas, Will Thompson, John M. Pfeifer, Brandon K. Fornwalt, Noah Zimmerman, Riccardo Miotto, Ruijun Chen

“…In this paper, we develop multiple heuristic “labeling functions’’ (LFs) for 4 diseases across de-identified EHR data and aggregate their votes through a majority vote approach (MV), a popular open-source approach (Snorkel OSS), and our proposed probabilistic approach (LEVI). …”
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Deepmol: an automated machine and deep learning framework for computational chemistry by João Correia, João Capela, Miguel Rocha

“…On 22 benchmark datasets, DeepMol obtained competitive pipelines compared with those requiring time-consuming feature engineering, model design and selection processes. As one of the first AutoML tools specifically developed for the computational chemistry domain, DeepMol stands out with its open-source code, in-depth tutorials, detailed documentation, and examples of real-world applications, all available at https://github.com/BioSystemsUM/DeepMol and https://deepmol.readthedocs.io/en/latest/ . …”
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Genome-Wide Association Study and Haplotype Analysis Jointly Identify New Candidate Genes for Alkaline Tolerance at Seedling Stage in Rice by Ratan Kumar Ganapati, Kai Chen, Xiuqin Zhao, Tianqing Zheng, Fan Zhang, Laiyuan Zhai, Jianlong Xu

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Identification of Candidate Genes for Cold Tolerance at Seedling Stage by GWAS in Rice (<i>Oryza sativa</i> L.) by Huimin Shi, Wenyu Zhang, Huimin Cao, Laiyuan Zhai, Qingxin Song, Jianlong Xu

“…Subsequently, three selected accessions (CX534, B236, and IRIS_313-8565), carrying different superior alleles for CT, were selected and recommended for molecular breeding for CT using marker-assisted selection (MAS). …”
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Coevolutionary Algorithm with Bayes Theorem for Constrained Multiobjective Optimization by Shaoyu Zhao, Heming Jia, Yongchao Li, Qian Shi

“…The model constructs prior knowledge using objective function values and constraint violation values, and then, it integrates this information to enhance selection processes. …”
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Evaluation of cubic voxel effects on dose calculation for Iridium-192 high dose rate using TOPAS particle simulation by Yacine El Attaoui, Zouhair Airouss, Aziz Oustous, Lhoucine Oufni

“…Radial function analysis showed consistent results, with 0.5 mm³ voxels deviating up to 1.78% near the source and 7% at greater distances. …”
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Soil moisture and precipitation intensity jointly control the transit time distribution of quick flow in a flashy headwater catchment by H. Türk, C. Stumpp, M. Hrachowitz, K. Schulz, P. Strauss, G. Blöschl, M. Stockinger

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Otimização do uso da água no perímetro irrigado do Gorutuba, utilizando-se a técnica da programação linear Optimization of water use in the Gorutuba irrigation district, Minas Gera... by Daniel Fonseca de Carvalho, Antônio Alves Soares, Carlos Antônio Alvares Soares Ribeiro, Gilberto C. Sediyama, Fernando Falco Pruski

“…<br>This research was developed with the objective of selecting the crops and planting dates in order to maximize the farmers income and the water resources in the Gorutuba Irrigation District. …”
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Compost amendments up to one inch restore dry rangeland soil health by Eva Stricker, Emily Cornell, Zach Withers

“…Our results provide guidance for land stewards to assess their resources and management goals to optimize compost addition to build rangeland soil health.…”
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Construction and Simulation of a Strategic HR Decision Model Based on Recurrent Neural Network by Xiaorong Li, Lijun Zhang, Dongchen Li, Dan Guo

“…Improving the level of human resource management can make fuller use of human resources and realize the strategic goals of the enterprise. …”
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Microbial diversification is maintained in an experimentally evolved synthetic community by Zahraa Al-Tameemi, Alejandra Rodríguez-Verdugo

“…We further observed loss-of-function mutations in flagellar genes that were fixed in monocultures but not in co-cultures. …”
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Integration of a hybrid vibration prediction model for railways into noise mapping software: methodology, assumptions and demonstration by Pieter Reumers, Geert Degrande, Geert Lombaert, David J. Thompson, Evangelos Ntotsios, Pascal Bouvet, Brice Nélain, Andreas Nuber

“…The user can select soil impedance and transfer functions from a database, pre-computed for a wide range of parameters with state-of-the-art models. …”
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IESSP: Information Extraction-Based Sparse Stripe Pruning Method for Deep Neural Networks by Jingjing Liu, Lingjin Huang, Manlong Feng, Aiying Guo, Luqiao Yin, Jianhua Zhang

“…In addition, we design a novel loss function that links output loss to stripe selection, enabling an effective balance between accuracy and efficiency. …”
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Study on Resistance Loss of Fly Ash Slurry Multistage High-Pressure Grouting Pipeline Based on Fluent by Qiqing Wang, Linzhe Li, Huijie Wu, Kun Wang, Sixiang Wang

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