Modelling the Interactions Between Resources and Academic Achievement: An Artificial Neural Network Approach by Cindy Di Han, Shane N. Phillipson, Vincent C S Lee

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An ecological network approach for detecting and validating influential organisms for rice growth by Masayuki Ushio, Hiroki Saito, Motoaki Tojo, Atsushi J Nagano

“…How to achieve sustainable food production while reducing environmental impacts is a major concern in agricultural science, and advanced breeding techniques are promising for achieving such goals. …”
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Enhancing climate action evaluation using artificial neural networks: An analysis of SDG 13 by Cosimo Magazzino, Zakaria Zoundi

“…This study aims to enhance the evaluation of climate-related Sustainable Development Goals (SDGs), with a focus on SDG 13 (''Climate Action''), using Artificial Neural Networks (ANNs) methods. It examines seven critical 2023 SDG Global Index indexes to model and predict environmental performance. …”
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Socio-environmental assessment of the Santos and São Vicente municipalities on the coast of São Paulo/Brazil: application of social network analysis to the DPSIR conceptual framewo... by Eduardo dos Reis, Magno José, Camilo Dias Seabra, Gustavo Fernandes Camargo, Nancy Ramacciotti de Oliveira, Yvan Jesus Olortiga, Márcio Mota, Fernanda Ribeiro, Magno Ferreira, Caio Teissiere, Herbert de Paula

“…Considering the social, economic, and ecological complexity of coastal regions and the difficulty of public and private environmental management in these highly populated areas with multiple sources of pollution, this study used the driver, pressure, state, impact, and response model to socio-environmentally assess the coastal municipalities of Santos and São Vicente in the Baixada Santista metropolitan region, SP-Brazil. …”
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Forecasting Groundwater Level by Characterizing Multiple Spatial Dependencies of Environmental Factors Using Graph‐Based Deep Learning by Yinghan Wu, Gang Mei, Kaixuan Shao, Nengxiong Xu, Jianbing Peng

“…Regional variations in groundwater levels exhibit a complex spatial dependency structure due to the physical proximity of monitoring wells, hydrological connectivity, and shared environmental characteristics. …”
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How Do Waterbird Communities Respond to Multi-Scale Environmental Variables in the Satellite Wetlands Surrounding a Ramsar Site, Shengjin Lake in China? by Chengrong Pan, Sheng Xu, Zhenbing Qian, Qichen Liao, Tongxinyu Wu, Guangyao Wang

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Construction of multifunctional composite networks and resilience evaluation under multiple attack scenarios: A case study of the Yangtze river delta by Jianshen Qu, Hao Wang, ZiWei Zhang, Zhili Xu, Yuexia Han, Bin Dong

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Novel Approach in Vegetation Detection Using Multi-Scale Convolutional Neural Network by Fatema A. Albalooshi

“…This study explores the potential of a multi-scale convolutional neural network (MSCNN) design for object classification, specifically focusing on vegetation detection. …”
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CN2VF-Net: A Hybrid Convolutional Neural Network and Vision Transformer Framework for Multi-Scale Fire Detection in Complex Environments by Naveed Ahmad, Mariam Akbar, Eman H. Alkhammash, Mona M. Jamjoom

“…Fire detection remains a challenging task due to varying fire scales, occlusions, and complex environmental conditions. This paper proposes the CN2VF-Net model, a novel hybrid architecture that combines vision Transformers (ViTs) and convolutional neural networks (CNNs), effectively addressing these challenges. …”
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Combining Ecological Momentary Assessment and Social Network Analysis to Study Youth Physical Activity and Environmental Influences: Protocol for a Mixed Methods Feasibility Study by Tyler Prochnow, Genevieve F Dunton, Kayla de la Haye, Keshia M Pollack Porter, Chanam Lee

“…The social and built environments significantly influence youth PA; yet, their complex interactions remain poorly understood. This study aims to evaluate the feasibility of combining ecological momentary assessment (EMA) and social network analysis to examine bidirectional influences among youth PA, built environments, and social networks during summer. …”
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DSMF-Net: A One-Stage SAR Ship Detection Network Based on Deformable Strip Convolution and Multiscale Feature Refinement and Fusion by Xingyu Liu, Jun Pan, Rong Hu, Wenli Huang, Jiawei Lin, Jiarui Hu

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Le rôle du débat dans l’appropriation de la complexité par des élèves de classes élémentaires dans le cadre d'une éducation à l'environnement et à la pensée critique by Jeanne-Aël Odin, Olivier Morin

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Temperature sensitivity of the interspecific interaction strength of coastal marine fish communities by Masayuki Ushio, Testuya Sado, Takehiko Fukuchi, Sachia Sasano, Reiji Masuda, Yutaka Osada, Masaki Miya

“…An increase in water temperature induced by global climate change may change fish interactions in a complex way, which consequently influences marine community dynamics and stability. …”
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Topographic Drivers of Soil Moisture Across a Large Sensor Network in the Southern Appalachian Mountains (USA) by Jordan R. Stark, Jason D. Fridley

“…Our study indicates that spatially extensive, field‐based soil moisture networks are practical, accurate, and an important component of regional environmental monitoring.…”
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Thermal analysis using Prandtl nanofluid in a non-uniform channel: Computational paradigm focusing on complex cilia waves by Maalee Almheidat, Mohammad Alqudah, Ali Imran, F.M. Allehiany, M.M. Alqarni, M.S. Alqurashi, Emad E. Mahmoud

“…Applications of complex cilia waves may play a vital role in advancing medicine, robotics, fluid dynamics, and environmental technologies. …”
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Coordination Analysis of Environmental and Social Problems in Transportation System by Zhiwen Chen

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Optimization of Extraction of Luteolin from <i>Schisandra chinensis</i> by Ionic Liquid–Enzyme Complex System and Antioxidant Study Analysis by Jingwei Hao, Nan Dong, Yifan Sun, Xiaoxia Lu, Yingying Pei, Yi Zhou, Xiangkun Zhou, Heming Liu

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Bridging the Gap: Limitations of Machine Learning in Real-World Prediction of Heavy Metal Accumulation in Rice in Hunan Province by Qing-Qian Peng, Xia Zhou, Hang Zhou, Ye Liao, Zi-Yu Han, Lu Hu, Peng Zeng, Jiao-Feng Gu, Rong Zhang

“…Cadmium (Cd) pollution poses a severe threat to rice safety and human health, while traditional linear models exhibit significant limitations in predicting rice Cd accumulation due to environmental complexities. This study systematically evaluated the predictive performance of Random Forest (RF), Gradient Boosting Decision Tree (GBDT), and Residual Neural Networks (ResNet), using a multi-source soil–rice dataset comprising 57,200 samples from Hunan Province. …”
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Physical education curriculum systematizing based on action research: a collaborative network between teacher-researchers from public schools in Quixadá — Ceará, Brazil by Rener Victor Oliveira de Souza, Maurício Teodoro de Souza, Luciano Nascimento Corsino, Willian Lazaretti da Conceição, Carla Ulasowicz, Luciana Venâncio, Luciana Venâncio, Luiz Sanches Neto, Luiz Sanches Neto

“…However, when dialoguing with the systematization and reflecting on the curriculum, the thematic subject content blocks make it possible to visualize (inter)personal aspects, movements and environmental demands as complex knowledge specific to physical education.…”
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Automated interpretation of deep learning-based water quality assessment system for enhanced environmental management decisions by Javed Mallick, Saeed Alqadhi, Majed Alsubih, Mohamed Fatahalla Mohamed Ahmed, Hazem Ghassan Abdo

“…Abstract Water quality assessment is a critical issue in the Aseer region of Saudi Arabia, where environmental and anthropogenic factors pose a major challenge to both drinking water and irrigation systems. …”
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