Numerical simulation of heat transfer properties of large-sized biomass particles during pyrolysis process.

During the pyrolysis process of large particles, the conduction between particles cannot be ignored. In the present work, a numerical simulation model for the pyrolysis of biomass particles was established, which takes into account the conduction within the particles. Based on this model, the temperature distribution inside the particle during the pyrolysis process was determined and the effects of particle size, moisture content, and gas velocity on heat transfer characteristics were analyzed.

Deep learning for fast denoising filtering in ultrasound localization microscopy.

Addition of a denoising filter step in ultrasound localization microscopy (ULM) has been shown to effectively reduce the error localizations of microbubbles (MBs) and achieve resolution improvement for super-resolution ultrasound (SR-US) imaging. However, previous image-denoising methods (e.g.

Progress and perspectives of enzymatic preparation of human milk fat substitutes.

Human milk fat substitutes (HMFS) with triacylglycerol profiles highly similar to those of human milk fat (HMF) play a crucial role in ensuring the supply in infant nutrition. The synthesis of HMFS as the source of lipids in infant formula has been drawing increasing interest in recent years, since the rate of breastfeeding is getting lower. Due to the mild reaction conditions and the exceptionally high selectivity of enzymes, lipase-mediated HMFS preparation is preferred over chemical catalysis especially for the production of lipids with desired nutritional and functional properties.

Individualized prediction of trait self-control from whole-brain functional connectivity.

Self-control is a core psychological construct for human beings and it plays a crucial role in the adaptation to society and achievement of success and happiness for individuals. Although progress has been made in behavioral studies examining self-control, its neural mechanisms remain unclear. In this study, we employed a machine-learning approach-relevance vector regression (RVR) to explore the potential predictive power of intrinsic functional connections to trait self-control in a large sample (N = 390).

Intelligence correlates with the temporal variability of brain networks.

Intelligence is the ability to recognize and understand objective things, and use knowledge and experience to solve problems. Highly intelligent people show the ability to switch between different thought patterns and shift their mental focus. This suggests a link between intelligence and the dynamic interaction of brain networks.

[Preventive effect of trans-resveratrol on hypertension-induced cardiac hypertrophy in partially nephrectomized rats].

Objective: To investigate the effect of trans-resveratrol on hypertension-induced cardiac hypertrophy and its potential mechanisms involving endothelin (ET), angiotensin II (AngII) and nitric oxide (NO).

Methods: Animal models bearing cardiac hypertrophy were replicated in male SD rats following partially nephrectomy (PNX). 10 mg/kg bw or 50 mg/kg bw of resveratrol was administered to rats by gavage, respectively, for 4 weeks.

Effects of trans-resveratrol on hypertension-induced cardiac hypertrophy using the partially nephrectomized rat model.

trans-Resveratrol (resveratrol) has been shown to have beneficial effects on the cardiovascular system in a number of studies. It is, however, unclear whether this naturally occurring compound can protect against cardiac hypertrophy. The aim of the present study was to investigate the effects of resveratrol on cardiac hypertrophy in vivo and the potential underlying mechanisms involving endothelin (ET), angiotensin (Ang) II and nitric oxide (NO) in partially nephrectomized rats.