The territorialization of Severe Acute Respiratory Syndrome and its socioeconomic, demographic and public health policy risk factors in Belém, state of Pará, Eastern Amazon, Brazil: a cross-sectional and ecological study.

Severe Acute Respiratory Syndrome is an important public health problem in Brazil due to the large number of cases. It has a high mortality rate related to risk factors that include systemic arterial hypertension, type 2 diabetes mellitus, male gender and advanced age. This cross-sectional and ecological study analyzed the spatial distribution of this disease related to the evolution of COVID-19 cases and their epidemiological, demographic, socioeconomic and public health policy conditions in the administrative districts of Belém, state of Pará, in the eastern Brazilian Amazon, from 2021 to 2023.

Theoretical and Experimental Insights into the Chemiresistive Sensing Response of Graphene Quantum Dots: The Role of Oxygen Functional Groups.

Developing sensitive sensors to trimethylamine (TMA) remains a topic of great interest in areas such as food quality analysis and disease biomarkers. To address this issue, chemiresistive sensors were proposed using graphene quantum dots (GQDs) with different proportions of hydroxyl (GQDs-OH), epoxy (GQDs-epoxy), and carboxyl (GQDs-COOH) groups. These materials exhibited different sensitivities to TMA, with GQDs-OH being the most sensitive, presenting a detection limit of 0.

(Malpighiaceae): Insights into Antioxidant, Antibacterial, and Antifungal Activities with Chemical Composition Analysis via UHPLC-MS/MS and GC/MS.

(Malpighiaceae) is a liana native to the Brazilian Cerrado biome, traditionally used in Ayahuasca preparations. Despite its cultural importance, research on its chemical composition and biological activities, which may have therapeutic potential, is limited. This study investigated the volatile and non-volatile secondary metabolites of leaves, their antioxidant capacity, and their antibacterial and antifungal activities.

High frequency of chromosomal polymyxin resistance in Escherichia coli isolated from dairy farm animals and genomic analysis of mcr-1-positive strain.

Escherichia coli strains are naturally susceptible to polymyxins. The frequency of polymyxin resistance in E. coli associated with chromosomal mutations is usually low (0.

Machine Learning Techniques Associated With Infrared Thermography to Optimize the Diagnosis of Bovine Subclinical Mastitis.

Bovine subclinical mastitis (SCM) is the costliest disease for the dairy industry. Technologies aimed at the early diagnosis of this condition, such as infrared thermography (IRT), can be used to generate large amounts of data that provide valuable information when analyzed using learning techniques. The objective of this study was to evaluate and optimize the use of machine learning by applying the Extreme Gradient Boosting (XGBoost) algorithm in the diagnosis of bovine SCM, based on udder thermogram analysis.