Development of a Sustainable Flexible Humidity Sensor Based on <i>Tenebrio molitor</i> Larvae Biomass-Derived Chitosan by Ezekiel Edward Nettey-Oppong, Riaz Muhammad, Emmanuel Ackah, Hojun Yang, Ahmed Ali, Hyun-Woo Jeong, Seong-Wan Kim, Young-Seek Seok, Seung Ho Choi

“…This eco-friendly, biomass-derived, eco-friendly sensor shows potential for applications in environmental monitoring, smart agriculture, and industrial process control.…”
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Modeling vegetation density with remote sensing, normalized difference vegetation index and biodiversity plants in watershed area by R.Z. Ekaputri, T. Hidayat, H.K. Surtikanti, W. Surakusumah

“…Spatial data encompass maps and field data.FINDING: By employing normalized difference vegetation index data, the study pioneers a novel approach to environmental monitoring, setting an example for effective resource management and ecological conservation in watershed regions. …”
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SFSCDNet: A Deep Learning Model With Spatial Flow-Based Semantic Change Detection From Bi-Temporal Satellite Images by K. S. Basavaraju, N. Sravya, Vibha Damodara Kevala, Shilpa Suresh, Shyam Lal

“…Semantic change detection in remote sensing imagery plays a pivotal role in urban planning, environmental monitoring, and disaster assessment applications. …”
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Recent Advances in Self-Powered Sensors Based on Ionic Hydrogels by Jianyu Yin, Peixue Jia, Ziqi Ren, Qixiang Zhang, Wenzhong Lu, Qianqian Yao, Mingfang Deng, Xubin Zhou, Yihua Gao, Nishuang Liu

“…Additionally, the relevant applications of IHSS toward wearable electronics, human–machine interaction, environmental monitoring, and medical diagnostics are further reviewed. …”
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Assessing Vegetation Canopy Growth Variations in Northeast China by Lijie Lu, Lingxue Yu, Xuan Li, Li Gao, Lun Bao, Xinyue Chang, Xiaohong Gao, Zhongquan Cai

“…Our findings improve understanding of vegetation canopy growth across different stages, holding significant importance for ecological environmental monitoring, land-use planning, and sustainable development.…”
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Assessing the Impact of Traffic Emissions on Fine Particulate Matter and Carbon Monoxide Levels in Hanoi through COVID-19 Social Distancing Periods by Nhung H. Le, Bich-Thuy Ly, Phong K. Thai, Gia-Huy Pham, Ich-Hung Ngo, Van-Nguyet Do, Thuy T. Le, Luan V. Nhu, Ha Dang Son, Yen-Lien T. Nguyen, Duong H. Pham, Tuan V. Vu

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A Hybrid Fuzzy Wavelet Neural Network Model with Self-Adapted Fuzzy c-Means Clustering and Genetic Algorithm for Water Quality Prediction in Rivers by Mingzhi Huang, Di Tian, Hongbin Liu, Chao Zhang, Xiaohui Yi, Jiannan Cai, Jujun Ruan, Tao Zhang, Shaofei Kong, Guangguo Ying

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Dual‐Modal Dielectric Elastomer System for Simultaneous Energy Harvesting and Actuation by Zhiyuan Zhang, Wenwei Huang, Shaodi Zheng, Jianbo Tan, Jinzhan Cheng, Jiancheng Cai, Shiju E, Zisheng Xu

“…The practicality of the system is developed by integrating it into a mechanically powered soft robot capable of locomotion and environmental monitoring using a wireless temperature sensor. …”
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Understanding summertime peroxyacetyl nitrate (PAN) formation and its relation to aerosol pollution: insights from high-resolution measurements and modeling by B. Hu, B. Hu, B. Hu, N. Chen, N. Chen, R. Li, M. Huang, M. Huang, M. Huang, J. Chen, J. Chen, Y. Hong, Y. Hong, L. Xu, L. Xu, X. Fan, X. Fan, M. Li, M. Li, L. Tong, Q. Zheng, Y. Yang

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Characteristics of Soil Profile Greenhouse Gas Concentrations and Fluxes of Alpine Grassland as Affected by Livestock Grazing by Mingyuan Yin, Xiaopeng Gao, Yanyan Li, Yufeng Wu, Wennong Kuang, Fanjiang Zeng

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Characteristics and Health Risks of PM2.5-bound Metals in a Central City of Northern China: A One-year Observation Study by Jinhe Wang, Shuang Zhang, Xiaoguo Qiu, Kai Li, Jiarong Li, Yangang Ren, Chao Zhu, Xi Zhang

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A novel method to determine background concentrations and spatial distributions of heavy metals in soil at large scale using machine learning coupled with remote sensing-terrain at... by Magboul M. Sulieman, Fuat Kaya, Abdullah S. Al-Farraj, Eric C. Brevik

“…. • Remote sensing/digital elevation models (DEMs)-derived ECOVs are useful for predicting and digitally mapping soil HMs, thus important for future environmental monitoring studies. • Explainable algorithms (i.e., RF and SMLR) are able to utilize ECOVs for HMs prediction and to establish background concentrations over large areas.Therefore, the combination of machine learning and RS/DEMs-based ECOVs is crucial to overcome the disadvantages of HMs determination via conventional methods.…”
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Time-Series Forecasting of PM_2.5 and PM₁₀ Concentrations Based on the Integration of Surveillance Images by Yong Wu, Xiaochu Wang, Meizhen Wang, Xuejun Liu, Sifeng Zhu

“…These findings highlight the potential of integrating surveillance images to enhance air quality prediction, offering an effective supplement to ground-level environmental monitoring. Future work will focus on expanding datasets and optimizing network architectures to further improve forecasting accuracy and computational efficiency, enhancing the model’s scalability for broader regional air quality management.…”
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Forecast for the zone of viticulture in European Russia under climate change by L. Yu. Novikova, P. V. Ozerski

“…The 1980–2019 daily data from 150 weather stations of the Federal Service for Hydrometeorology and Environmental Monitoring were used to calculate mean long-term values, trends and forecasts for 2050 for the ZCV limiting factors and locate the points lying in the range acceptable for viticulture. …”
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Ultraflat, Monolithic, Highly Stable Supercontinuum Source Based on Fluorotellurite Fiber by Hao Lei, Yadong Jiao, XinSheng Zhao, Kunlin Xie, Junsheng Chen, Wenbo Zhong, Xiaohui Guo, Hongyu Luo, Jianfeng Li, Zhixu Jia, Guanshi Qin

“…Supercontinuum (SC) sources covering near‐infrared and midinfrared region have attracted enormous interest and found significant applications in tissue imaging, sensing, spectroscopy, defense, and environmental monitoring. Herein, an 8.45 W all‐fiber ultraflat SC source with a spectral range of 1.01–4.05 μm using a flat high‐power 1.9–2.7 μm SC fiber source to pump a piece of fluorotellurite fiber is presented. …”
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Development of High-performance Proton Transfer Reaction Time-of-Flight Mass Spectrometer by Chun-guang XIE, Ji-yang ZHANG, Tong YANG, Yu-liang HUANG, Shu-guang XIE, Hui ZHU, Jing-xuan SUN, Ping CHENG

“…The development of this system provides a new method for online rapid analysis of VOCs in environmental monitoring, industrial processes, and biomedicine, accelerating the technical development of PTR-TOFMS domestically and narrowing the gap with the international advanced level.…”
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Mapping ground deformation in the northern Yangtze River estuary using improved MT-InSAR based on ICA and non-stationary analysis by Zhijie Zhang, Songbo Wu, Guoqiang Shi, Xiaoli Ding, Chaoying Zhao, Bochen Zhang, Liang Chen, Zhong Lu

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Analysis and Recommendation of Outdoor Activities for Smart City Users Based on Real-Time Contextual Data by S. R. Mani Sekhar, D. M. Mushtaq Ahmed, G. M. Siddesh

“…It helps to explore the pivotal role of real-time data in optimizing various aspects of city management, focusing on key domains such as traffic, public transportation, emergency response, waste management, and environmental monitoring. A variety of datasets, such as those on the weather, air quality, traffic patterns, event schedules, and user activity patterns, are gathered and analyzed as part of the methodology. …”
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Evaluation of nutrient loads conveyed to the deep subalpine lakes of Northern Italy through their main tributaries by Paolo Dezuanni, Paolo Dezuanni, Diego Copetti, Claudia Dresti, Nicolò Pella, Nicolò Pella, Fabio Buzzi, Andrea Fenocchi, Andrea Fenocchi

“…Because of the complexities and the multiple layers of stakeholders involved in this process, the only factual way to evaluate improvements in watershed nutrient management is to directly estimate nutrient loads at watershed closing sections through available data from environmental monitoring. The Italian deep subalpine lakes (DSLs: Lake Como, Lake Garda, Lake Idro, Lake Iseo, Lake Maggiore) suffered from extensive eutrophication from the 1950s to the early 1980s. …”
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A mediation analysis of meteorological factors on the association between ambient carbon monoxide and tuberculosis outpatients visits by Tianfeng He, Tianfeng He, Xujun Qian, Jing Huang, Guoxing Li, Xinbiao Guo

“…Consequently, it is critical to enhance environmental monitoring and early warning systems to effectively address the prevalence of PTB and the delays in health-seeking behavior.…”
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