Systemic Granulomatosis in the Meagre : Fishing for a Plausible Etiology.

Meagre () is one of the fast-growing species considered for sustainable aquaculture development along the Mediterranean and Eastern Atlantic coasts. The emergence of Systemic Granulomatosis (SG), a disease marked by multiple granulomas in various tissues, poses a significant challenge in meagre aquaculture. In the current study, we investigate the association of spp.

New insights into the nutritional genomics of adult-onset riboflavin-responsive diseases.

Riboflavin, or vitamin B2, is an essential nutrient that serves as a precursor to flavin adenine dinucleotide (FAD) and flavin mononucleotide (FMN). The binding of the FAD and/or FMN cofactors to flavoproteins is critical for regulating their assembly and activity. There are over 90 proteins in the human flavoproteome that regulate a diverse array of biochemical pathways including mitochondrial metabolism, riboflavin transport, ubiquinone and FAD synthesis, antioxidant signalling, one-carbon metabolism, nitric oxide signalling and peroxisome oxidative metabolism.

Development and Validation of the Nursing Care and Religious Diversity Scale (NCRDS).

(1) Background: In response to the impact of religious intervention on health outcomes and the importance of documenting how nurses experience the spiritual need of 392 hospitalized patients, it is vital to provide the nursing profession with instruments to evaluate these spiritual aspects. This study describes the development and validation of the Nursing Care and Religious Diversity Scale (NCRDS); (2) Methods: A two-step design was used for NCRDS translation and psychometric validation. The tool design was developed in the first step, while the psychometric characteristics were tested in the second step.

Canine Mammary Tumor Histopathological Image Classification via Computer-Aided Pathology: An Available Dataset for Imaging Analysis.

Histopathology, the gold-standard technique in classifying canine mammary tumors (CMTs), is a time-consuming process, affected by high inter-observer variability. Digital (DP) and Computer-aided pathology (CAD) are emergent fields that will improve overall classification accuracy. In this study, the ability of the CAD systems to distinguish benign from malignant CMTs has been explored on a dataset-namely -of 1056 hematoxylin and eosin JPEG images from 20 benign and 24 malignant CMTs, with three different CAD systems based on the combination of a convolutional neural network (VGG16, Inception v3, EfficientNet), which acts as a feature extractor, and a classifier (support vector machines (SVM) or stochastic gradient boosting (SGB)), placed on top of the neural net.