Long-term monitoring of growing season characteristics and heat stress in Serbia [0.03%]
塞尔维亚生长季特征和高温胁迫的长期监测
Nataša Martić-Bursać,Marko Ivanović,Nikola Milentijević et al.
Nataša Martić-Bursać et al.
These findings align with broader Southeastern and Central European climate trends, underscoring the need for expanded environmental monitoring through meteorological networks, remote sensing, and cross-regional climate data integration.
Pt atomic cluster-decorated Fe2(MoO4)3 hollow microspheres for detecting sub-parts-per-million xylene prepared by the atomic layer deposition method [0.03%]
利用原子层沉积法构建的Pt族金属修饰Fe2(MoO4)3空心微球用于ppm级苯系物检测研究
Zhuoyuan Wang,Jiaye Qiu,Jiangmei Gou et al.
Zhuoyuan Wang et al.
Accurate detection of xylene at low concentrations is crucial for environmental monitoring and industrial safety but remains challenging.
Systematic Quality Assurance/Quality Control Framework for a Volatile Organic Compound Real-Time Monitoring Instrument, Autonomous Rugged Optical Multigas Analyzer for VOCs [0.03%]
挥发性有机物实时监测仪器的系统质量保证/质量控制框架及自主坚固型光学多功能分析仪
Hong Cheng Tay,Anthony Miller,Hunter N B Moseley et al.
Hong Cheng Tay et al.
This study presents a systematic quality assurance/quality control (QA/QC) framework for new technology adopters to validate environmental monitoring instruments when consistent, standardized validation and calibration procedures do not readily exist....This QA/QC framework is especially relevant for newly developed environmental monitoring instruments prior to deployment in field settings as part of environmental site investigations.
Ultrasensitive electrochemical aptasensor for Pseudomonas aeruginosa detection using N-doped MWCNTs/AgNPs nanocomposite [0.03%]
用于铜绿假单胞菌检测的N掺杂MWCNTS / AgNP纳米复合材料超灵敏电化学适配体传感器
Jiamu Li,Aijia Sun,Han Lai et al.
Jiamu Li et al.
This study demonstrates a novel strategy for developing cost-effective, portable biosensors with exceptional selectivity for bacterial pathogen detection, offering significant potential for real-time environmental monitoring and point-of-care diagnostic applications.
Combining analysis of individual and wastewater whole genome sequencing improves SARS-CoV-2 surveillance [0.03%]
结合个人和废水全基因组测序分析可提高SARS-CoV-2监测能力
Evan P Troendle,Andrew J Lee,Marina I Reyne et al.
Evan P Troendle et al.
Effective pathogen surveillance is critical for public health decision-making, with both individual and environmental monitoring playing essential roles.
Surface water quality of the Magdalena River in the Colombian Caribbean: future solutions for treatment wastewaters [0.03%]
哥伦比亚加勒比地区马格达莱纳河的地表水水质：未来污水处理方案
Liliana Centanaro Acuña,Juan Roberto de Jesus Rua Díaz,Ricardo Alfonso Roman Herazo et al.
Liliana Centanaro Acuña et al.
The results underscore the importance of strengthening wastewater treatment, promoting sustainable agricultural practices, and expanding the environmental monitoring network. This research contributes to bridging knowledge gaps in the ecological management of fluvial-port ecosystems in Colombia.
Enhancing environmental monitoring and assessment: evaluating soil quality changes using a parametric index in smallholder farming systems [0.03%]
利用参数指标评估小农耕作制度下土壤质量变化以提升环境监测与评价
Safirat Sani,Sani Abubakar Mashi,Clement Didi Chup et al.
Safirat Sani et al.
Soil quality evaluation (SQE) is a vital aspect of environmental assessment and monitoring. Traditional SQE methods often use composite indices that can mask changes in individual soil properties, limiting detailed understanding of soil deg...
Examining the effects of analytical replication on data quality in a non-targeted analysis experiment [0.03%]
分析复制对非目标分析实验数据质量的影响研究
Troy M Ferland,Heather D Whitehead,Timothy J Buckley et al.
Troy M Ferland et al.
Non-targeted analysis (NTA) methods are integral to environmental monitoring given their ability to expand measurable chemical space beyond that of traditional targeted methods. Such vast quantities of NTA data are generated that exhaustive manual review is generally unfeasible.
Nazrul Islam,Mia Mohammad Shoaib Hasan,Imam Hossain Shibly et al.
Nazrul Islam et al.
Machine learning (ML) has emerged as a pivotal force in enhancing the capabilities of sensing technologies across a broad spectrum of applications, from environmental monitoring and biosensing to agriculture, industrial automation, and so on.
My friend MIROSLAV: A hackable open-source hardware and software platform for high-throughput monitoring of rodent activity in the home cage [0.03%]
我的朋友MIROSLAV：一种用于在家笼中高通量监测啮齿动物活动的可编程开源软硬件平台
Davor Virag,Jan Homolak,Ivan Kodvanj et al.
Davor Virag et al.
To achieve this, we developed MIROSLAV, the Multicage InfraRed Open-Source Locomotor Activity eValuator, a home cage activity and environmental monitoring device designed to be open, adaptable, and robust.
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