Multiphysics Coupling Model of Rock Mass considering Damage and Disturbance and Its Application by Wei Wang, Zhouquan Luo, Yaguang Qin, Jun Xiang, Lei Wen, Shaowei Ma

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An improved statistical bias correction method for Global Climate Model (GCM) precipitation projection: A case study on the CMCC-CM2-SR5 model projection in China’s Huaihe River Ba... by Yuning Luo, Ke Zhang, Wen Wang, Xinyu Chen, Jin Feng, Haijun Wang, Wei Liu, Cheng Guo, Cuiying Chen, Xiaozhong Wang

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Trade-offs and synergies for urban Production-Living-Ecological spatial Patterns-Comparison study between Fuzhou, China, and Saskatoon, Canada by Xi Wang, Xiaomei Li, Jinming Sha, Hao Zhang, Eshetu Shifaw, Xulin Guo, Shuhui Lai, Jinliang Wang

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The ‘crisis’ of fat body in the neoliberal era: the case of obesity in Turkey by Seda Keklik, Neriman Berna Güler

“…Qualitative data, systematically selected from academic and institutional sources, are used to examine the structural roots of obesity in capitalist social relations, focusing on how individuals function as both labour and consumers. …”
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Assembly and comparative analysis of the complete mitochondrial of Spodiopogon sagittifolius, an endemic and protective species from Yunnan, China by Chao Xu, Wei Bi, Ren-yi Ma, Pin-rong Li, Feng Liu, Zhen-wen Liu

“…Abstract Background Spodiopogon sagittifolius, a C4 plant closely related to cultivated crops, is an edible resource and a Class II nationally protected species in China. …”
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Oil, Metal, and Agricultural Raw Material Prices in Global Markets and the Iranian Economy by simin akbari, Seyed aziz Arman, Abdolmajid Ahangari

“…Moreover, since oil revenues are higher than other revenue sources, the inflationary effects of oil could be stronger. …”
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Battery Energy Storage System Placement And Sizing In Distribution Networks by Sorokin Dmitry

“…The methodology is applicable to BESS which implement the functions of ensuring the reliability of power supply to consumers (use of BESS as a backup or emergency source of power supply), as well as the function of regulating voltage levels in the electrical network (regulating reactive power by the BESS inverter).…”
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Predicting the Likelihood of Operational Risk Occurrence in the Banking Industry Using Machine Learning Algorithms by Hamed Naderi, Mohammad Ali Rastegar Sorkhe, Bakhtiar Ostadi, Mehrdad Kargari

“…Machine learning models can process complex datasets, identify hidden patterns, and facilitate early risk detection, enabling banks to implement preventive measures before risks materialize. …”
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Development and Optimization of a Novel Deep Learning Model for Diagnosis of Quince Leaf Diseases by A. Naderi Beni, H. Bagherpour, J. Amiri Parian

“…Of all the images obtained, 70%, 20%, and 10% were randomly selected for the network's training, validation, and testing, respectively. …”
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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

“…This study investigates the impact of synthetic agrochemicals on human health using advanced machine learning techniques, leveraging multi-level feature selection, hybrid ensemble learning, SHAP, and custom loss function to improve prediction accuracy. …”
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Liquid chromatography-high resolution mass spectrometry based analysis of persistent mobile organic compounds in aqueous samples: Method development and optimization by Kyriaki Anagnostopoulou, Vasileios Alampanos, Eleni Evgenidou, Dimitra A. Lambropoulou

“…Persistent Mobile Organic Compounds (PMOCs) represent a critical threat to water resources due to their high solubility, resistance to degradation, and potential toxicity, posing risks to human health and ecosystems. …”
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PATH PLANNING AND OBSTACLE AVOIDANCE METHODS FOR AUTONOMOUS MOBILE ROBOTS by Ihor Berizka

“…The modification of the classical artificial potential field method using the Gaussian function to describe repulsive forces is an example of optimizing the method for systems with constrained resources. …”
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SentemQC - A novel and cost-efficient method for quality assurance and quality control of high-resolution frequency sensor data in fresh waters [version 1; peer review: 1 approved,... by Sofie Gyritia Madsen van't Veen, Joachim Audet, Eti Ester Levi, Brian Kronvang, Søren Erik Larsen, Erik Jeppesen, Esben Astrup Kristensen, Anders Nielsen, Thomas Alexander Davidson, Jane Rosenstand Laugesen, Peter Mejlhede Andersen

“…Such a process is often resource-intensive and may not be consistent across users and sensors. …”
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Eeg-based detection of epileptic seizures in patients with disabilities using a novel attention-driven deep learning framework with SHAP interpretability by Tawfeeq Shawly, Ahmed A. Alsheikhy

“…We articulate the mathematical characteristics of feature selection driven by NAM, delineate the convergence attributes of the loss function, and present measures of explainability through Shapley Additive Explanations (SHAP). …”
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Ecological-environmental consequences of urban sprawl in rural settlements around the Hamedan city by Naser Shafiei Sabet, Sogand Khaksar

“…Introduction: Imposition by cities of new roles and functions on peripheral areas has provoked economic, social and spatial disturbances in those areas (Shafiei Sabet & Bozorgniya, 2013). …”
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Proteomic analysis of Buffalo milk somatic cells reveals metabolomic and immunological transitions during early lactation by Priyanka M. Kittur, Lija Satheesan, Narasimha Tanuj Gunturu, Yallappa M. Somagond, A. P. Madhusoodan, Ravi Kumar Gandham, Rani Alex, Ajay Kumar Dang

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The global, regional, and national brain and CNS cancers burden and trends from 1990 to 2021 by Jian Zhou, Long Gu, Fengling Du, Chun Li, Fan Zhang, Xianhui Zhang, Jinwei Pang, Bingqing Xie, Xiangyu Wang, Jianhua Peng, Yong Jiang

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State of the art in remote sensing monitoring of carbon dynamics in African tropical forests by Thomas Bossy, Thomas Bossy, Thomas Bossy, Philippe Ciais, Philippe Ciais, Solène Renaudineau, Liang Wan, Bertrand Ygorra, Elhadi Adam, Nicolas Barbier, Marijn Bauters, Nicolas Delbart, Nicolas Delbart, Frédéric Frappart, Tawanda Winmore Gara, Eliakim Hamunyela, Suspense Averti Ifo, Gabriel Jaffrain, Philippe Maisongrande, Maurice Mugabowindekwe, Maurice Mugabowindekwe, Theodomir Mugiraneza, Theodomir Mugiraneza, Cassandra Normandin, Conan Vassily Obame, Marc Peaucelle, Camille Pinet, Pierre Ploton, Le Bienfaiteur Sagang, Martin Schwartz, Valentine Sollier, Bonaventure Sonké, Bonaventure Sonké, Paul Tresson, Aurélien De Truchis, An Vo Quang, Jean-Pierre Wigneron

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A novel deep learning technique for multi classify Alzheimer disease: hyperparameter optimization technique by A. S. Elmotelb, Fayroz F. Sherif, A. S. Abohamama, A. S. Abohamama, Mahmoud Fakhr, Amr M. Abdelatif

“…A progressive brain disease that affects memory and cognitive function is Alzheimer’s disease (AD). To put therapies in place that potentially slow the progression of AD, early diagnosis and detection are essential. …”
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Development and Application of a Multi-scale Framework for Evaluating Floodplain Restoration Suitability Based on HEC-RAS by Shuoxing LI, Nanxi WANG, Yan ZHA

“…This research uses a multi-level hierarchical screening method to select indicators at three scales: basin, sub-basin and site. …”
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