A dataset on environmental DNA, bacterio-, phyto- and zooplankton from an emerging periglacial lagoon in Svalbard, ArcticMendeley DataMendeley Data by Sergej Olenin, Dzmitry Lukashanets, Anastasija Zaiko, Aurelija Samuilovienė, Irina Olenina, Evelina Grinienė, Tobia Politi, Aleksej Šaškov, Greta Kilmonaitė, Andrius Šiaulys

“…Furthermore, these data can be utilized for environmental monitoring, tracing the temporal shifts and conducting comparative analysis of periglacial lagoons that are emerging in various regions of Svalbard as a result of climate change.…”
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Assessing the Direct Impact of Typhoons on Vegetation Canopy Structure and Photosynthesis by Yaoyao Zheng, Simin Zhan, Zaichun Zhu, Sen Cao, Jiana Chen, Pengjun Zhao, Weimin Wang, Ranga B. Myneni

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Effect of gut microbiota changes on cytokines IL-10 and IL-17 levels in liver transplantation patients by Mohamed Abdel-Raoof Fouda, Mohamed Abdel-Wahhab, Ahmed Esmail Abdelkader, Mohsen El-Sayd Ibrahim, Taher Abozeid Elsheikh, Hisham Mohammad Aldeweik, Nora Elfeky

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Satellite-based Emission Inventory Adjustments Improve Simulations of Long-range Transport Events by Wei-Syun Huang, Stephen M. Griffith, Yi-Chun Lin, Ying-Chieh Chen, Chung-Te Lee, Charles C.-K. Chou, Ming-Tung Chuang, Sheng-Hsiang Wang, Neng-Huei Lin

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FRR: A Fast Routing Recovery mechanism minimizing network formation time in smart grids by Giancarlo C. Heck, Ananias A. Quispe, Patryk H. da Fonseca, Osni S. Junior, Roberto A. Hexsel, Luiz C.P. Albini

“…In recent years, Internet of Things (IoT) technologies have been applied to the most diverse types of applications, highlighting their use in Smart Grids (SGs), such as smart metering, demand response, fault detection and renewable energy integration, as well as in Smart Cities, such as smart lighting, smart parking and environmental monitoring. A technology that has been widely used in these contexts is the Wireless Smart Ubiquitous Networks Field Area Network (Wi-SUN FAN) standard, which defines the implementation and behavior of interoperable networks based on open standards such as IEEE 802.15.4 and the IPv6 Routing Protocol for Low-Power and Lossy Networks (RPL). …”
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Optimal selection of machine learning algorithms for ciprofloxacin prediction based on conventional water quality indicators by Shenqiong Jiang, Xiangju Cheng, Baoshan Shi, Dantong Zhu, Jun Xie, Zhihong Zhou

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Status and Evolving Characteristics of Marine Spatial Resources in the Hangzhou Bay Area of Zhejiang Province, China by Peng Wang, Jingru Zhou, Kaixuan Zheng, Xia Lin, Mou Leong Tan, Jingchao Shi, Xingwen Lin, Xihe Yue, Xu Ma, Fei Zhang

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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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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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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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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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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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