Carbendazim is widely applied in agriculture to control various fungal diseases during pre-harvest and post-harvest processes owing to its efficacy and cost-effectiveness. However, environmental and food contamination by carbendazim has become a global health issue. Indeed, the declining biodiversity of beneficial insects owing to agricultural intensification is currently of keen concern to the scientific community.
View Article and Find Full Text PDFMixed ionic-electronic conductors have great potential as materials for energy storage applications. However, despite their promising properties, only a handful of metal-organic frameworks (MOFs) provide efficient pathways for both ion and electron transport. This work reports a proton-electron dual-conductive MOF based on tetrathiafulvalene(TTF)-phosphonate linkers and lanthanum ions.
View Article and Find Full Text PDFChronic pain is a prevalent problem affecting approximately one out of every five adults in the U.S. The most effective way to treat chronic pain is with opioids, but they cause dangerous side effects such as tolerance, addiction, and respiratory depression, which makes them quite deadly.
View Article and Find Full Text PDFThe study targeted to compare the nutritional profile of two varieties of açaí, the white and purple, found in different mesoregions of Pará, Brazil. The research focused on analyzing levels of total phenolics, total anthocyanins, antioxidant capacity, and mineral composition in these two varieties. The study sought to identify significant differences between the two varieties in terms of nutritional composition and antioxidant potential, providing valuable information into the specific nutritional and functional properties of each type of açaí studied.
View Article and Find Full Text PDFAlthough the classification of chest radiographs has long been an extensively researched topic, interest increased significantly with the onset of the COVID-19 pandemic. Existing results are promising; however, the radiological similarities between COVID-19 and other types of respiratory diseases limit the success of conventional image classification approaches that focus on single instances. This study proposes a novel perspective that conceptualizes COVID-19 pneumonia as a deviation from a normative distribution of typical pneumonia patterns.
View Article and Find Full Text PDF