Antioxidant Activities of Hot Water Extracts from Mycelial Biomass of Different Combinations of Medicinal Agaricomycetes Mushrooms.

This study aimed to determine the free radical scavenging and antioxidant potential of hot water extracts prepared from different combinations and ratios of submerged cultivated mycelial biomass of medicinal mushrooms. Total phenolic compounds, flavonoid content, and antioxidant activity were evaluated for combined crude hot water extracts from medicinal higher Basidiomycetes mushrooms belonging to ten genera. The results demonstrate that almost all tested combinations were good sources of phenolic compounds and flavonoids, ranging between 16.

Using a Convolutional Neural Network and Convolutional Long Short-term Memory to Automatically Detect Aneurysms on 2D Digital Subtraction Angiography Images: Framework Development and Validation.

Background: It is hard to distinguish cerebral aneurysms from overlapping vessels in 2D digital subtraction angiography (DSA) images due to these images' lack of spatial information.

Objective: The aims of this study were to (1) construct a deep learning diagnostic system to improve the ability to detect posterior communicating artery aneurysms on 2D DSA images and (2) validate the efficiency of the deep learning diagnostic system in 2D DSA aneurysm detection.

Methods: We proposed a 2-stage detection system.

Chemical Composition and Antioxidant Properties of Different Combinations of Submerged Cultured Mycelia of Medicinal Mushrooms.

This research describes the investigation of submerged cultivated mycelial biomass and hot water extracts prepared from different combinations and ratios of medicinal mushroom (MM) dry powders, comprising various biologically active compounds/secondary metabolites. In particular, it was evaluated the proximate composition (moisture, ash, crude protein, fat, total carbohydrates, and total energy), γ-aminobutyric acid (GABA) and ergothioneine (ERG), amino acid content of mycelia of 16 higher Basidiomycetes MM species. The results obtained demonstrate that almost all tested combinations were found to be good sources of polysaccharides, with content varying in the ranges of 4.

A machine learning model to precisely immunohistochemically classify pituitary adenoma subtypes with radiomics based on preoperative magnetic resonance imaging.

Purpose: The type of pituitary adenoma (PA) cannot be clearly recognized with preoperative magnetic resonance imaging (MRI) but can be classified with immunohistochemical staining after surgery. In this study, a model to precisely immunohistochemically classify the PA subtypes by radiomic features based on preoperative MR images was developed.

Methods: Two hundred thirty-five pathologically diagnosed PAs, including t-box pituitary transcription factor (Tpit) family tumors (n = 55), pituitary transcription factor 1 (Pit-1) family tumors (n = 110), and steroidogenic factor 1 (SF-1) family tumors (n = 70), were retrospectively studied.

Community Composition of Photosynthetic Picoeukaryotes in a Subtropical Coastal Ecosystem, with Particular Emphasis on Micromonas.

Photosynthetic picoeukaryotes (PPEs) are important constituents in picoplankton communities in many marine ecosystems. However, little is known about their community composition in the subtropical coastal waters of the Northwestern Pacific Ocean. In order to study their taxonomic composition, this study constructed 18S rRNA gene libraries using flow cytometric sorting during the warm season.