Determination of hexachlorocyclopentadiene in water by HS-SPME-GC-MS by YOU Xihua, SHI Jinghua, WANG Weili, CAO Fangfang, ZHANG Fengju, QIN Chenghua

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An Enhanced Drone Technology for Detecting the Human Object in the Dense Areas Using a Deep Learning Model by Mohamad Reda A. Refaai, Dhruva R. Rinku, I. Thamarai, null S. Meera, Naresh Kumar Sripada, Simon Yishak

“…During the recent decade, emerging technological and dramatic uses for drones were devised and accomplished, including rescue operations, monitoring, vehicle tracking, forest fire monitoring, and environmental monitoring, among others. Wildfires are one of the most significant environmental threats to wild areas and forest management. …”
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Investigating Raman peak enhancement in carboxyl-rich molecules: insights from Au@Ag core-shell nanoparticles in colloids by Junhao Chen, Zhengjia Chen, Tong Liang, Zhennan Zhang, Dahang Cheng, Shurui Liu, Haiyang Liu, Cuicui Liu, Xiaohui Song

“…Surface-enhanced Raman scattering (SERS) is a promising analytical technique with applications in environmental monitoring, healthcare, and the biopharmaceutical industry. …”
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Cybersecurity of the municipal infrastructure by S. V. Kaliakin, Yu. M. Onishchenko, V. V. Nosov

“…Particular attention has been paid to the problems of safe automation of modern city management processes such as automation of traffic control systems, environmental monitoring systems, financial systems, power grids, water and gas supply systems, communication systems, and control systems for wastewater treatment plants. …”
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An Experimental Study of WSN Power Efficiency: MICAz Networks with XMesh by Tyler W. Davis, Xu Liang, Miguel Navarro, Diviyansh Bhatnagar, Yao Liang

“…It focuses on the study of the practical aspects of WSNs' power efficiency and network characteristics, which play a critical role in real-word WSN deployments for environmental monitoring. Based on an experimental study and following a quantitative approach, this work examines XMesh's high power and low power operation modes and the data transmission intervals, among other factors. …”
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Picobirnaviruses: prevalence, genetic diversity, detection methods by A. Yu. Kashnikov, N. V. Epifanova, N. A. Novikova

“…The importance of effective monitoring of PBV prevalence for studying the zoonotic and anthroponotic potential using metagenomics analysis is highlighted, and so is the possibility of using PBV as a marker for environmental monitoring.…”
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A Novel Remote Sensing Recognition Using Modified GMM Segmentation and DenseNet by Muhammad Waqas Ahmed, Moneerah Alotaibi, Sultan Refa Alotaibi, Dina Abdulaziz Alhammadi, Asaad Algarni, Ahmad Jalal, Jeongho Cho

“…The accurate classification of aerial images is a crucial task in remote sensing, with applications ranging from land cover mapping and urban planning to disaster response and environmental monitoring. However, challenges such as limited labeled data, inherent data complexity, and high computational demands often hinder the performance of traditional methods. …”
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Capillary microfluidics for diagnostic applications: fundamentals, mechanisms, and capillarics by Elham Khanjani, Andrea Fergola, Joan Antoni López Martínez, Simin Nazarnezhad, Simin Nazarnezhad, Jasmina Casals Terre, Simone Luigi Marasso, Simone Luigi Marasso, Behrouz Aghajanloo

“…Capillary systems offer an effective and reliable foundation for developing miniaturized diagnostic instruments, which hold significant potential across various domains, including biological research and environmental monitoring.…”
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Assessment of COVID-19 Impacts on Air Quality in Ulaanbaatar, Mongolia, Based on Terrestrial and Sentinel-5P TROPOMI Data by Gantuya Ganbat, Halim Lee, Hyun-Woo Jo, Batbayar Jadamba, Daniel Karthe

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Research Progress in Small-Molecule Detection Using Aptamer-Based SERS Techniques by Li Zheng, Qingdan Ye, Mengmeng Wang, Fan Sun, Qiang Chen, Xiaoping Yu, Yufeng Wang, Pei Liang

“…It has been widely applied in qualitative and trace analysis across various fields, including food safety, environmental monitoring, and biomedical applications. Small molecules, such as toxins, antibiotics, and pesticides, have significant biological effects and are harmful to both human health and the environment. …”
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ViT-ISRGAN: A High-Quality Super-Resolution Reconstruction Method for Multispectral Remote Sensing Images by Yifeng Yang, Hengqian Zhao, Xiadan Huangfu, Zihan Li, Pan Wang

“…Super-resolution reconstruction of remote sensing multispectral images not only enhances the spatial resolution of these images but also preserves and improves the spectral information of multispectral data, thereby providing richer ground object information and more accurate environmental monitoring data. To improve the effectiveness of feature extraction in the generator network while maintaining model efficiency, this article proposes the vision transformer improved super-resolution generative adversarial network (ViT-ISRGAN) model. …”
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On-Demand Energy Provisioning Scheme in Large-Scale WRSNs: Survey, Opportunities, and Challenges by Gerald K. Ijemaru, Kenneth Li-Minn Ang, Jasmine Kah Phooi Seng, Augustine O. Nwajana, Phee Lep Yeoh, Emmanuel U. Oleka

“…The insights gained from this study pave the way for future innovations and contribute to the development of sustainable and self-sufficient wireless sensor networks, critical for the advancement of applications such as environmental monitoring, precision agriculture, and smart cities.…”
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An Ultra-Wide Range D-Shaped Fiber SPR Sensor with a Nanostructure of Gold–MoS₂ and Sodium for the Simultaneous Measurement of Refractive Index and Temperature by Xinglian Lu, Xiantong Yu, Jun Zhou, Min Chang, Dunke Lu

“…Refractive index (RI) and temperature (T) are both critical environmental parameters for environmental monitoring, food production, and medical testing. …”
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Spatiotemporal Distributions of Ambient Volatile Organic Compounds in China: Characteristics and Sources by Gang Wang, Na Zhao, Hanyu Zhang, Guohao Li, Gang Xin

“…Listing VOCs as a mandatory monitoring pollutant for environmental monitoring stations in China and developing accurate source apportionment methods are critical to guide policy making and for understanding of the spatiotemporal distribution of ambient VOCs.…”
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Coastal Hazard and Vulnerability Assessment in Cameroon by Mesmin Tchindjang, Philippes Mbevo Fendoung, Casimir Kamgho

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Advanced Air Quality Forecasting Using an Enhanced Temporal Attention-Driven Graph Convolutional Long Short-Term Memory Model With Seasonal-Trend Decomposition by Yuvaraja Boddu, A. Manimaran, B. Arunkumar, M. Sucharitha, J. Suresh Babu

“…The findings underscore the model’s potential as a robust tool for environmental monitoring and management, providing actionable insights for policymakers and stakeholders. …”
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Preparation and Gas-Sensitive Properties of Square–Star-Shaped Leaf-Like BiVO₄ Nanomaterials by Jin Liu, Mengdi Yang, Yuanyuan Lv, Yixin Gao, Danyang Bai, Neng Li, Haoru Guo, Anyi Wang

“…These findings indicate that square–star-shaped leaf-like BiVO₄ holds great potential in environmental monitoring and industrial safety detection, offering new insights for the development of high-performance gas sensors.…”
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The Modulation of Meteorological Parameters on Surface PM2.5 and O3 Concentrations in Guangzhou, China by Qiaoli Bu, Yingying Hong, Haobo Tan, Li Liu, Chunlin Wang, Jianjun Zhu, Pakwai Chan, Chen Chen

“…Using Guangzhou as a case study, we analyzed the meteorological data and air quality data for 2014–2016 obtained by 4 weather stations and 10 environmental monitoring stations, respectively, and assessed the influence of significant meteorological parameters on the hourly PM2.5 concentration and the daily maximum 8-hour-averaged (MDA8) O3 concentration. …”
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Closing the phenotyping gap with non-invasive belowground field phenotyping by G. Blanchy, G. Blanchy, G. Blanchy, W. Deroo, T. De Swaef, P. Lootens, P. Quataert, I. Roldán-Ruíz, R. Versteeg, S. Garré

“…In this paper, we present the first data set of the new HYDRAS (HYdrology, Drones and RAinout Shelters) open-access field-phenotyping infrastructure, bringing electrical resistivity tomography, alongside drone imagery and environmental monitoring, to a technological readiness level closer to what breeders and researchers need. …”
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Tropospheric ozone sensing with a differential absorption lidar based on a single CO₂ Raman cell by G. Fan, Y. Fu, J. Huo, Y. Xiang, T. Zhang, T. Zhang, W. Liu, Z. Ning

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