Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6059063 | PMC |
http://dx.doi.org/10.1080/21501203.2018.1442132 | DOI Listing |
Public Health Rep
January 2025
Adair County High School, Columbia, KY, USA.
In response to the COVID-19 pandemic, a multidisciplinary team at the University of Kentucky developed an interdisciplinary science, technology, engineering, and mathematics and environmental health unit-the Wastewater Assessment for Coronavirus in Kentucky: Implementing Enhanced Surveillance Technology (WACKIEST) Unit-for high school students in summer 2022. This case study outlines the WACKIEST Unit, which focused on wastewater surveillance and COVID-19, the obstacles faced during development and recruitment, and implementation of the WACKIEST Unit in conjunction with a rural wastewater surveillance initiative. The unit was implemented in spring 2023 at a rural high school in Kentucky, spanning 12 days and engaging 190 students.
View Article and Find Full Text PDFTrans R Soc Trop Med Hyg
January 2025
Molecular Ecology and Evolution at Bangor (MEEB), School of Environmental and Natural Sciences, Bangor University, Environment Centre Wales, Bangor LL57 2UW, UK.
The ambitious WHO goal of halving snakebite mortality by 2030 is challenged by a number of logistical hurdles, none more so than in India where snakebite envenomation presents a multifaceted challenge. We have collaborated with several organizations focused on snakebite in India over the last 11 years, with an emphasis on fieldwork to collect samples from venomous snakes in various regions, particularly understudied regions in the northeast and western Himalayas. This programme has encountered several significant obstacles, including securing permits from government organizations to collect snake samples in the field, obtaining long-term research funding, coordinating multidisciplinary collaboration on snakebite projects and engaging with grassroots stakeholders who are most affected by snakebite incidents.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Computer Engineering, Faculty of Engineering, Shahid Bahonar University of Kerman, Kerman, Iran.
In the contemporary era, grappling with the vast expanse of big data presents a formidable obstacle, particularly when it comes to extracting vital information from extensive textual sources. The constant influx of news articles from various agencies necessitates an enormous amount of time to digest comprehensively. A viable solution to address this challenge lies in the realm of automatic text summarization, which is a pivotal and intricate endeavor within the field of natural language processing.
View Article and Find Full Text PDFSci Rep
January 2025
School of Chemistry and Chemical Engineering, Chongqing University, Chongqing, 400044, China.
The control and industrial application of chaotic systems is a major obstacle limiting the diffusion of chaos theory. In this study, we proposed a novel, universally applicable methodology for constructing an offset boosting function for chaotic systems. By integrating this approach with traditional techniques, a four-dimensional chaotic system with two-dimensional offset boosting was developed and successfully implemented by a real chaotic circuit for manganese metal electrolysis, replacing conventional DC.
View Article and Find Full Text PDFNat Commun
January 2025
Key Laboratory of Brain like Neuromorphic Devices and Systems of Hebei Province, College of Physics Science and Technology, Hebei University, Baoding, Hebei, China.
Neuromorphic computing holds immense promise for developing highly efficient computational approaches. Memristor-based artificial neurons, known for due to their straightforward structure, high energy efficiency, and superior scalability, which enable them to successfully mimic biological neurons with electrical devices. However, the reliability of memristors has always been a major obstacle in neuromorphic computing.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!