Machine learning to identify environmental drivers of phytoplankton blooms in the Southern Baltic Sea by Maximilian Berthold, Pascal Nieters, Rahel Vortmeyer-Kley

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Crafting desirable climate trajectories with reinforcement learning explored socio-environmental simulations by James Rudd-Jones, Fiona Thendean, María Pérez-Ortiz

“…We extend on this work by introducing multiple interacting RL agents as a preliminary analysis on modelling the complex interplay of socio-interactions between various stakeholders or nations that drives much of the current climate crisis. …”
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Interpretable machine learning analysis of environmental characteristics on bacillary dysentery in Sichuan Province by Yao Zhang, Qiao-Lin Wang, Wei Peng, Meng-Yuan Zhang, Yao Qin, Lun Zhang, Rong-Jie Wei, Dian-Ju Kang

“…BackgroundBacterial dysentery (BD) is a leading cause of diarrhea-related mortality globally, with its incidence heavily influenced by environmental factors. However, a climate zone-specific predictive model for BD was currently lacking in Sichuan Province.ObjectiveThis study aims to employ interpretable machine learning to explore the influence of environmental factors on BD incidence across different climate zones and to elucidate their interaction mechanisms.MethodsMonthly data on meteorological and ecological factors, along with BD case reports, were collected from 183 counties in Sichuan Province (2005–2023). …”
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Predicting wheat yield using deep learning and multi-source environmental data by Muhammad Ashfaq, Imran Khan, Dilawar Shah, Shujaat Ali, Muhammad Tahir

“…Winter wheat, a key staple crop in Pakistan, faces challenges in yield prediction because of the complex interactions among climatic, soil, and environmental factors. …”
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Design of Interactive Waste Sorting Program Using Engine Construct 2 as Alternative Learning Media by Mohammad Ikhsan Saputro, Toni Sukendar, Achmad Sumbaryadi, Ahmad Ishaq, Rame Santoso

“…Research shows that Interactive Program-based learning increases student interest. …”
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DEVELOPMENT OF INTERACTIVE CONTENT IN WEBSITE LEARNING MEDIA TO ADDRESS STUDENT MISCONCEPTIONS ABOUT THE GREENHOUSE EFFECT by Syva Lestiyani Dewi, Dede Trie Kurniawan, Rendi Restiana Sukardi

“…The holistic approach employed unveils insights into how learning media can effectively reduce misconceptions, thereby enhancing awareness of crucial environmental issues like the greenhouse effect.…”
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Cooperative Learning for 4-H by Jessica McIntosh, Martha C. Monroe

“… A simple way to facilitate discovery is through cooperative learning, in which learners work together to meet a shared goal with a leader guiding them to encourage group interactions. …”
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Cooperative Learning for 4-H by Jessica McIntosh, Martha C. Monroe

“… A simple way to facilitate discovery is through cooperative learning, in which learners work together to meet a shared goal with a leader guiding them to encourage group interactions. …”
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Cooperative Learning for 4-H by Jessica McIntosh, Martha C. Monroe

“… A simple way to facilitate discovery is through cooperative learning, in which learners work together to meet a shared goal with a leader guiding them to encourage group interactions. …”
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Probiotic supplementation prevents stress-impaired spatial learning and enhances the effects of environmental enrichment by Cassandra M. Flynn, Lara M. Blackburn, Qi Yuan

“…Higher levels of tyrosine hydroxylase were observed in the hippocampus of the EE groups. The interaction of probiotic supplementation, chronic stress, and environmental EE offers a promising area for enhancing cognitive function and brain health.…”
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Dynamic Gradient Descent and Reinforcement Learning for AI-Enhanced Indoor Building Environmental Simulation by Xiaolong Chen, Haohao Yang, Hongfeng Zhang, Cora Un In Wong

“…We propose a novel dynamic gradient descent (DGD) framework integrated with reinforcement learning (RL) for AI-enhanced indoor environmental simulation, addressing the limitations of static optimization in dynamic settings. …”
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Innovative Techniques for Enhancing the Reliability of Machine Learning Classifiers in Protein-Protein Interaction Hotspot Prediction by M. O. Otun

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Rethinking Ecopedagogy in Web-Based History Learning: A Critical Examination of Its Impact on Students' Ecoliteracy by Leni Marpelina, Sariyatun Sariyatun, Andayani Andayani

“…Objective of the Study: This study investigates the design and effects of an interactive, web-based multimedia tool intended to enhance high school students' ecoliteracy in historical learning. …”
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Environmental enrichment reverses noise induced impairments in learning and memory associated with the hippocampus in female rats by Yutian Sun, Pengying An, Yongjian Cai, Wenjing Yang, Yue Fang, Hui Liu, Guimin Zhang, Ye Shan, Jie Wang, Yifan Zhang, Xiaoming Zhou

“…EE also reversed noise-induced reductions in hippocampal long-term potentiation (LTP) of synaptic connections, a mechanism essential for learning and memory processing. However, an enriched environment that lacked social interaction had little effect on restoring LTP in noise-exposed rats. …”
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Assessing the association of multi-environmental chemical exposures on metabolic syndrome: A machine learning approach by Yehoon Jo, Mi-Yeon Shin, Sungkyoon Kim

“…This study used data from 2,960 participants in the Korean National Environmental Health Survey (KoNEHS) cycle 4 (2018–2020) to examine associations between environmental exposures and MetS risk through machine learning (ML) approaches. …”
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Ecological risk assessment of oilfield soil through the use of machine learning combining with spatial interaction effects by Shihan Wang, Mingxia Zheng, Yushan Tian, Hongyu Ding, Lina Yan, Beidou Xi, Yuanyuan Sun, Jing Su

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Influence of Campus Outdoor Spaces on Students Behavior: Enhancing Social Interaction and Learning at An-Najah University by Nada Hasan, Ihab Hijazi, Diana Enab, Saleh Qanazi, Isam Shahrour, Hasan Al-Qadi, Khaled Qamhieh

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The City as the Classroom: The Case of “Start ‘em Young Advocacy” at Silliman University, Philippines by Novee Elarmo Maestrecampo Jr., Giovanni Tuballa Macahig

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Adaptive Temporal Reinforcement Learning for Mapping Complex Maritime Environmental State Spaces in Autonomous Ship Navigation by Ruolan Zhang, Xinyu Qin, Mingyang Pan, Shaoxi Li, Helong Shen

“…Experimental results demonstrate that, compared to other neural network-based reinforcement learning methods, the proposed model excels in environmental adaptability, collision avoidance success rate, navigation stability, and trajectory optimization. …”
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Integrating Machine Learning, SHAP Interpretability, and Deep Learning Approaches in the Study of Environmental and Economic Factors: A Case Study of Residential Segregation in Las... by Jingyi Liu, Yuxuan Cai, Xiwei Shen

“…This study leverages recent advances in machine learning to examine how environmental, economic, and demographic factors contribute to ethnic segregation, using Las Vegas as a case study with broader urban relevance. …”
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