Parasitoid wasps act as natural biological control agents for several harmful insect species. However, there is a lack of information regarding the exogenous RNA viruses that infect parasitoids and may contribute to the success of their parasitism strategies. This study aimed to investigate the presence, abundance, and replication of known exogenous viruses in two parasitoid wasp species and their corresponding preys.
View Article and Find Full Text PDFPurpose: Oral squamous cell carcinoma (OSCC) is a significant public health challenge associated with high mortality rates primarily due to its invasive and metastatic behavior. This study aimed to evaluate the expression patterns of five critical biomarkers: β-catenin, E-cadherin, podoplanin (PDPN), CXCR4, and p53 in OSCC tissues and to investigate their correlations with clinicopathologic features and patient outcomes.
Methods: We conducted an immunohistochemical analysis utilizing tissue microarrays (TMAs) from 95 patients diagnosed with primary OSCC.
Purpose: Deep learning-based radiomics techniques have the potential to aid specialists and physicians in performing decision-making in COVID-19 scenarios. Specifically, a Deep Learning (DL) ensemble model is employed to classify medical images when addressing the diagnosis during the classification tasks for COVID-19 using chest X-ray images. It also provides feasible and reliable visual explicability concerning the results to support decision-making.
View Article and Find Full Text PDFSpectrochim Acta A Mol Biomol Spectrosc
December 2024
The non-invasive detection of crack/cocaine and other bioactive compounds from its pyrolysis in saliva can provide an alternative for drug analysis in forensic toxicology. Therefore, a highly sensitive, fast, reagent-free, and sustainable approach with a non-invasive specimen is relevant in public health. In this animal model study, we evaluated the effects of exposure to smoke crack cocaine on salivary flow, salivary gland weight, and salivary composition using Attenuated total reflection-Fourier transform infrared (ATR-FTIR) spectroscopy.
View Article and Find Full Text PDFPolymers (Basel)
November 2024
The Amazon Region (AR), with its vast biodiversity and rich natural resources, presents a unique opportunity for the development of sustainable polymer composites (PCs) reinforced with residues from both timber and agro-extractivism industries. This study explores the potential of Amazonian residues, such as sawdust, wood shavings, and agro-industrial by-products such as açaí seeds and Brazil nut shells, to enhance the mechanical, thermal, and environmental properties of polymer composites. By integrating these natural materials into polymer matrices, significant improvements in the composite performance were achieved, including increased tensile strength, thermal stability, and biodegradability.
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