Integrated and improved YOLOv8 and triangulated network method for extracting indicators in open-pit mine mining areas by LI Tianwen, LI Gongquan, LI Juntao

“…The research on remote sensing imagery of open-pit mines based on deep learning has provided a direction for the rapid identification and extraction of open-pit mining areas. …”
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Experimental Test Procedure of the Spatial Distribution of Environmental Parameters and Products of Combustion in a Residential Area and Adjacent Spaces by A. A. Antoshyn, S. A. Volkau

“…This research is intended to develop the testing methodology for spatial pattern of combustion products, including toxic gases with asphyxiant and irritant effects, in both height and area of rooms in a standard apartment building, as well as correlation identification between controlled by fire alarm parameters of environment in living rooms and dangerous fire factors.Proposed methodology includes the concentration measurement of the basic gaseous combustion products (asphyxiant and irritant), generated in the process of materials burning in living accommodation. …”
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Functional-guided frameless stereotactic biopsy of highly eloquent brain tumors by Maximilian Schwendner, Axel Schroeder, Bernhard Meyer, Sandro M. Krieg, Sebastian Ille

“…Despite being performed with minimum invasiveness, biopsy-related functional deficits may still occur. Navigated transcranial magnetic stimulation (nTMS) enables preoperative non-invasive identification of eloquent brain areas. …”
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ACQUISITION AND VALUES OF EUROPEAN (WESTERN) MUNICIPALITY AS CONSTITUTIONAL VALUES OF HUMANITY AND THE STATE AND THEIR PERCEPTION IN THE POST-SOVIET LEGAL AREA by Inna G. Postoronko

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Identification of serum C4BPA as a potential diagnostic marker of right ventricular remodelling via proteomic analysis by Xuenan Wang, Cheng Yu, Meiling Li, Huiling Cai, Yongjian Yang, Cong Lan

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Identification and attribution analysis of integrated ecological zones based on the XGBoost-SHAP model: A case study of Chengdu, China by Xiaobin Huang, Xiaosheng Liu, Yuanhang Jin, Xue Gao, Youliang Chen

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Machine learning-driven integration of time-series InSAR and multiple surface factors for landslide identification and susceptibility assessment by Qianyu Wang, Wen Zhang, Jinglin Li, Ziyang Li, Zhi Luo, Qiang Zhao, Jianbo Jian, Fang Shangguan, Yuanxing Yang, Yangyang Ma, Zhen Zhang, Shuangming Zhao, Linyi Li, Lingkui Meng

“…This study aims to enhance the safety and security of reservoir areas by proposing an integrated method for the automatic identification and assessment of landslides. …”
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Identification of RUVBL2 as a novel biomarker to predict the prognosis and drug sensitivity in multiple myeloma based on ferroptosis genes by Sishi Tang, Xinyi Long, Fangfang Li, Siyi Jiang, Yunfeng Fu, Jing Liu

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Genome-wide identification, evolutionary expansion and expression divergence of the AP2/ERF gene family in loquat (Eriobotrya japonica) by Yumeng Liu, Linqi Cai, Xiurun Fan, Huiling Zhang, Minghui Chen, Yue Lin, Junwei Chen, Kai Xu, Boping Wu

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Development and validation of a machine-learning-based model for identification of genes associated with sepsis-associated acute kidney injury by Chen Lin, Meng Zheng, Wensi Wu, Zhishan Wang, Guofeng Lu, Shaodan Feng, Xinlan Zhang

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Identification of Intracranial Germ Cell Tumors Based on Facial Photos: Exploratory Study on the Use of Deep Learning for Software Development by Yanong Li, Yixuan He, Yawei Liu, Bingchen Wang, Bo Li, Xiaoguang Qiu

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Identification and validation of efferocytosis-related biomarkers for the diagnosis of metabolic dysfunction-associated steatohepatitis based on bioinformatics analysis and machine... by Chenghui Cao, Chenghui Cao, Wenwu Liu, Xin Guo, Shuwei Weng, Yang Chen, Yonghong Luo, Shuai Wang, Botao Zhu, Botao Zhu, Yuxuan Liu, Yuxuan Liu, Daoquan Peng

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Discovery and early validation of serum protein signatures in untreated multiple sclerosis patients: identification of candidate biomarkers for diagnosis and stratification by Isabel Brichette-Mieg, Isabel Brichette-Mieg, Ana Alonso-Torres, Ana Alonso-Torres, Pablo Aliaga-Gaspar, Pablo Aliaga-Gaspar, José-Luis Rodríguez-Bada, Virginia Reyes-Garrido, Virginia Reyes-Garrido, Patricia Urbaneja-Romero, Patricia Urbaneja-Romero, Carmen Muñoz, María Díaz-Sánchez, Elisa Martín-Montañez, María-del-Rosario Cabello-Porras, Begoña Oliver-Martos, Begoña Oliver-Martos, Laura Leyva, Laura Leyva

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Identification of nanomolar adenosine A2A receptor ligands using reinforcement learning and structure-based drug design by Morgan Thomas, Pierre G. Matricon, Robert J. Gillespie, Maja Napiórkowska, Hannah Neale, Jonathan S. Mason, Jason Brown, Kaan Harwood, Charlotte Fieldhouse, Nigel A. Swain, Tian Geng, Noel M. O’Boyle, Francesca Deflorian, Andreas Bender, Chris de Graaf

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Identification and validation of an explainable machine learning model for vascular depression diagnosis in the older adults: a multicenter cohort study by Ran Zhang, Tian Li, Fan Fan, Haoying He, Liuyi Lan, Dong Sun, Zhipeng Xu, Sisi Peng, Jing Cao, Juan Xu, Xiaoxiang Peng, Ming Lei, Hao Song, Junjian Zhang

“…Abstract Background Vascular depression (VaDep) is a prevalent affective disorder in older adults that significantly impacts functional status and quality of life. Early identification and intervention are crucial but largely insufficient in clinical practice due to inconspicuous depressive symptoms mostly, heterogeneous imaging manifestations, and the lack of definitive peripheral biomarkers. …”
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Water Diplomacy by Implementing Energy Consumption Reduction Scenarios in the Sistan Region by Fazel Ghobeyshavi, Ali Sardar Shahraki, Mahdi Safdari, Neda Aliahmadi

“…Based on the method of dynamic systems, the following steps are performed. 1- Understanding the system 2- Identification and definition of the problem 3- Conceptualization of the system (cause-effect relationships - informational feedbacks) 4- Formulation of the model (decision variables - physical flows of information) In order to build the flow model, the trends of the variables over time are taken into consideration, and based on these trends and based on mathematical laws and regression functions, the relationship between the variables was formulated.Discussion and Results The results, modeling the water, food, energy nexus (NEXUS) with several water diplomacy in the Trans Boundary River show that the current scenarios with water are After applying each of the policies separately on the model as well as applying the combined policy, the scenario of reducing energy consumption by 50%, reducing water loss (evaporation) by 50%, from the solution to improve the security of water, food and energy resources for ten. …”
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Genome-wide identification of the R2R3-MYB gene family in olive and its association with fatty acid biosynthesis by Hengxing Zhu, Qianli Dai, Feiyi Huang, Zhuo Wei, Min Lu, Chenggong Lei, Ximeng Yang, Benwen Chen

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A lightweight semantic segmentation method for concrete bridge surface diseases based on improved DeeplabV3+ by Zhiyuan Yu, Chunquan Dai, Xiaoming Zeng, Yunlong Lv, Haisheng Li

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A New Robust Algorithm for Fault-Plane Parameters Identification: The 2009 L’Aquila (Central Italy) Seismic Sequence Case by Annarita Mangiacapra, Zaccaria Petrillo, Sergio Scippacercola, Luisa Valoroso, Rosa Nappi, Giuliana Alessio, Simona Tripaldi

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Morphological, vascular, and functional changes in macular telangiectasia type 2 in Egyptian patients by Shaimaa Ibrahim Gafar, Hany Hamza, Ihab Abdelaziz, Rania G. Estawro, Shaymaa Hassan Salah

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