Participatory approaches and Social Network Analysis to analyse the emergence of collective action for rural development: a case study in the Spanish Pyrenees by M. Teston, E. Sturaro, E. Muñoz-Ulecia, A. Tenza-Peral, S. Raniolo, E. Pisani, C. Pachoud, M. Ramanzin, D. Martín-Collado

“…The trust network was analysed using the Louvain’s algorithm to identify potential internal communities and the exponential random graph model (ERGM) to infer the shaping effects of actors’ attributes on the network’s structure. …”
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Evaluating the accuracy of artificial intelligence-powered chest X-ray diagnosis for paediatric pulmonary tuberculosis (EVAL-PAEDTBAID): Study protocol for a multi-centre diagnosti... by Heather J Zar, Savvas Andronikou, Lesley Workman, Tehmina Mustafa, Dennis Robert, Brekhna Aurangzeb, Cynthia Baard, Abid Ali Qureshi, Aneela Shaheen, Atiqa Ambreen, David McFarlane, Humera Javed, Iqbal Bano, Justy Antony Chiramal, Tanyia Pillay, Zoe Franckling-Smith

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Construction and application of a drought classification model for tea plantations based on multi-source remote sensing by Yang Xu, Yilin Mao, He Li, Xiaojiang Li, Litao Sun, Kai Fan, Zhipeng Li, Shuting Gong, Zhaotang Ding, Yu Wang

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PA2E: Real-Time Anomaly Detection With Hyperspectral Imaging for Food Safety Inspection by Jungi Lee, Myounghwan Kim, Jiseong Yoon, Kwangsun Yoo, Seok-Joo Byun

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Sustainable Management of Natural Resources at Disaggregated Levels with Insights from Landscape Dynamics by T V Ramachandra, Paras Negi, Tulika Mondal, Bharath Settur

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Open Georeferenced Field Data on Forest Types and Species for Biodiversity Assessment and Remote Sensing Applications by Patrizia Gasparini, Lucio Di Cosmo, Antonio Floris, Federica Murgia, Maria Rizzo

“…Data were collected as part of a project aimed at developing a classification algorithm based on hyperspectral data. The dataset was made publicly available as it refers to forest types and species widespread in many countries of Central and Southern Europe and is potentially useful to other researchers for the study of forest biodiversity or for remote sensing applications.…”
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Three-dimensional visualization and navigation for micro-noninvasive uterine fibroid surgery based on MRI and ultrasound image fusion by Ting Wang, Yingang Wen, Zhibiao Wang, Zhibiao Wang, Xi Li

“…To enhance the accuracy of lesion localization and navigation, the Iterative Closest Point (ICP) algorithm was employed for the registration of preoperative MRI with intraoperative US images.Results and discussionExperimental results demonstrated that the system achieved a Dice Similarity Coefficient (DSC) exceeding 90% for the segmentation and identification of anatomical structures such as the uterus and fibroids. …”
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Static stress triggering of Morocco M 6.9 earthquake on 9 September 2023 by WANG Runyan, WAN Yongkui, GUAN Zhaoxuan, HUANG Shaohua, GU Peiyuan, SONG Zeyao, ZHOU Mingyue

“…Methods  Using the "central solution" algorithm, two possible nodal planes of the earthquake were determined, and the local stress field was projected onto these two planes. …”
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Treatment of aseptic necrosis of the femoral head. Clinical guidelines by A. N. Torgashin, S. S. Rodionova, A. A. Shumsky, M. A. Makarov, A. V. Torgashina, I. F. Akhtyamov, A. N. Kovalenko, N. V. Zagorodniy, S. P. Mironov

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Predicting noncoding RNA and disease associations using multigraph contrastive learning by Si-Lin Sun, Yue-Yi Jiang, Jun-Ping Yang, Yu-Han Xiu, Anas Bilal, Hai-Xia Long

“…The second step involves down sampling using the K-means clustering algorithm to balance the positive and negative samples. …”
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YOLO-SMUG: An Efficient and Lightweight Infrared Object Detection Model for Unmanned Aerial Vehicles by Xinzhe Luo, Xiaogang Zhu

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Numerical Simulation of Finite Deformations of a Dynamically Loaded Elasto-Viscoplastic Circular Membrane by W. Dornowski

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Predicting Red Blood Cell Transfusion in Elective Cardiac Surgery: A Machine Learning Approach by Beatriz Lau, Daniel Ramos, Vera Afreixo, Luís M. Silva, Ana Helena Tavares, Miguel Martins Felgueiras, Diana Castro Paupério, João Firmino-Machado

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Inhalation Injury (A Literature Review) by E. A. Zhirkova, T. G. Spiridonova, P. A. Brygin, A. V. Makarov, A. V. Sachkov

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An improved deep CNN-based freshwater fish classification with cascaded bio-inspired networks by Asadullah Shaikh, Wahidur Rahman, Kaniz Roksana, Tarequl Islam, Mohammad Motiur Rahman, Hani Alshahrani, Adel Sulaiman, Mana Saleh Al Reshan

“…Traditional methods are very insufficient to overcome these issues. To address these research gaps, the research proposes an automatic system for categorizing Bangladesh's freshwater fish. …”
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Simulated meteorological impacts of offshore wind turbines and sensitivity to the amount of added turbulence kinetic energy by D. Quint, D. Quint, J. K. Lundquist, J. K. Lundquist, J. K. Lundquist, J. K. Lundquist, J. K. Lundquist, N. Bodini, D. Rosencrans

“…<p>Offshore wind energy projects are currently in development off the east coast of the United States and may influence the local meteorology of the region. Wind power production and other commercial uses in this area are related to atmospheric conditions, and so it is important to understand how future wind plants may change the local meteorology. …”
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Virtual Validation and Uncertainty Quantification of an Adaptive Model Predictive Controller-Based Motion Planner for Autonomous Driving Systems by Mohammed Irshadh Ismaaeel Sathyamangalam Imran, Satyesh Shanker Awasthi, Michael Khayyat, Stefano Arrigoni, Francesco Braghin

“…In the context of increasing research on algorithms for different modules of the autonomous driving stack, the development and evaluation of these algorithms for deployment onboard vehicles is the next critical step. …”
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Relationship between intra-bladder pressure and acute kidney injury in patients with acute pancreatitis: interpretable machine learning approach by Gang Liao, Baning Ye, Jianquan Li, Mingxiang Wen

“…Then, the ML algorithm is used to establish the prediction model. …”
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RLK-YOLOv8: multi-stage detection of strawberry fruits throughout the full growth cycle in greenhouses based on large kernel convolutions and improved YOLOv8 by Lei He, Lei He, Lei He, Dasheng Wu, Dasheng Wu, Dasheng Wu, Xinyu Zheng, Xinyu Zheng, Xinyu Zheng, Fengya Xu, Fengya Xu, Fengya Xu, Shangqin Lin, Shangqin Lin, Shangqin Lin, Siyang Wang, Siyang Wang, Siyang Wang, Fuchuan Ni, Fang Zheng

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Method for detecting cracks in retaining walls based on improved YOLOv5s by Yanhai Wang, Chenxin Guo, Guoyong Duan, Yuhao Zhang, Chao Yang, Huafeng Deng

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