Brown rice traits are critical to both grain yield and quality. In the present study, chromosome segment substitution lines (CSSLs) population derived from a cross between japonica Koshihikari indica Nona Bokra was used analyze brown length (BRL), width (BRW), length–width ratio of (BLWR), thickness (BRT), perimeter (BRP), area (BRA), thousand-grain weight (BRGW), (BRR), taste value (BTV), wate...

The expression of transmembrane and ubiquitin-like domain containing 1 (Tmub1) is upregulated during liver regeneration, however, the function and underlying molecular mechanisms responsible for Tmub1 action remain to be determined. This study utilized BRL-3A rat liver cells for Tmub1 shRNA lentivirus infection and IL-6 stimulation. Semi-quantitative RT-PCR and western blot analysis were used t...

Silica nanoparticles (SiO2 NPs) have been shown to exert cytotoxic effects in hepato-cytes and to cause liver injury. In the liver, Kupffer cells (KCs), as the resident macrophages, play an important role in the normal physiology and homeostasis of the liver. Nevertheless, few studies have attempted to clarify the role of KCs in hepatic injury induced by SiO(2) NPs. In this study, we treated Bu...

BRL 26921 is a protected plasminogen-streptokinase complex with selective affinity for thrombus. When given intravenously within three hours of the onset of a first acute myocardial infarction angiographic patency of the infarct related vessel was seen in all 16 patients receiving the active drug compared with only two of 16 receiving a placebo. There was relative sparing of left ventricular fu...

Abstract—This paper is concerned with the H∞ filtering for sampled-data systems. First, an event-based data packet processor is introduced to release the sampled measurement outputs only if an event condition is violated. As a result, the communication resources can be significantly saved while the desired system performance can be preserved. Second, the resulting filtering error system is mode...

Reinforcement Learning has emerged as a useful framework for learning to perform a task optimally from experience in unknown systems. A major problem for such learning algorithms is how to balance optimally the exploration of the system, to gather knowledge, and the exploitation of current knowledge, to complete the task. Model-based Bayesian Reinforcement Learning (BRL) methods provide an opti...

Bayesian Reinforcement Learning (BRL) agents aim to maximise the expected collected rewards obtained when interacting with an unknown Markov Decision Process (MDP) while using some prior knowledge. State-of-the-art BRL agents rely on frequent updates of the belief on the MDP, as new observations of the environment are made. This offers theoretical guarantees to converge to an optimum, but is co...

A new pump-seeded, short-cavity Brillouin ring laser source layout intended for sensing applications is showcased, showing increased high maximum output (1.5 mW), a strong linewidth narrowing effect (producing light with of 10 kHz) and limited RIN (~-145 dB/Hz), providing an ultranarrow, highly stable BRL that can also be employed as pump-probe BOTDA applications.

BACKGROUND MicroRNAs are a class of small regulatory RNAs that modulate a variety of biological processes, including cellular differentiation, apoptosis, metabolism and proliferation. This study aims to explore the effect of miR-34a in hepatocyte proliferation and its potential role in liver regeneration termination. METHODOLOGY/PRINCIPAL FINDING MiR-34a was highly induced after partial hepat...