The Enzyme Glucose-1-Phosphate Thymidylyltransferase RmlA Plays a Crucial Role in the Pathogenesis of Pectobacterium actinidiae GX1.

Pectobacterium actinidiae is one of the primary pathogens that causes summer canker disease in kiwifruit, yet its pathogenic mechanisms remain unknown. The exopolysaccharide PCAP-1a, isolated from the fermentation broth of P. actinidiae strain GX1, exhibits notable cytotoxicity and acts as a virulence factor facilitating host infection.

Design and performance analysis of multi-enzyme activity-doped nanozymes assisted by machine learning.

Traditional design approaches for nanozymes typically rely on empirical methods and trial-and-error, which hampers systematic optimization of their structure and performance, thus limiting the efficiency of developing innovative nanozymes. This study leverages machine learning techniques supported by high-throughput computations to effectively design nanozymes with multi-enzyme activities and to elucidate their reaction mechanisms. Additionally, it investigates the impact of dopants on the microphysical properties of nanozymes.

A rice rhizosphere plant growth-promoting Streptomyces corchorusii isolate antagonizes Magnaporthe oryzae and elicits defense responses in rice.

Aims: Rice blast, caused by Magnaporthe oryzae, is one of the most devastating diseases of rice (Oryza sativa L.). The aim of this study was to investigate the biocontrol potential of rice rhizosphere actinomycetes against M.

An Ex Vivo Aorta Culture Model to Study Vascular Cellular Senescence.

Animal studies on vascular aging pose a few limitations. One of the most important reasons for this is the absence of a fast and efficient model of vascular tissue aging. In this study, ex vivo aortic culture and Matrigel subcutaneous implantation are combined to develop a new model for studying vascular cellular senescence.

The impact of national culture, altruism, and risk preference on salaries: The case of the Major League Baseball.

Based on the longitudinal data of 30 Major League Baseball (MLB) teams over seasons from 2017 to 2020, we used random effect (RE) models to conduct regression analyses on the detailed data of pitchers and fielders. Cultural distance (CD) was measured in terms of Hofstede's cultural indicators and Global Preference Survey (GPS) data. The results showed that salary premiums for foreign MLB players existed and CD was significantly positively correlated with salaries.

Automated segmentation of craniopharyngioma on MR images using U-Net-based deep convolutional neural network.

Objectives: To develop a U-Net-based deep learning model for automated segmentation of craniopharyngioma.

Methods: A total number of 264 patients diagnosed with craniopharyngiomas were included in this research. Pre-treatment MRIs were collected, annotated, and used as ground truth to learn and evaluate the deep learning model.

A Vehicle Recognition Algorithm Based on Deep Transfer Learning with a Multiple Feature Subspace Distribution.

Vehicle detection is a key component of environmental sensing systems for Intelligent Vehicles (IVs). The traditional shallow model and offline learning-based vehicle detection method are not able to satisfy the real-world challenges of environmental complexity and scene dynamics. Focusing on these problems, this work proposes a vehicle detection algorithm based on a multiple feature subspace distribution deep model with online transfer learning.

[Preparation of freeze-dried long-circulation oridonin liposomes and their pharmacokinetics in rats].

Objective: To prepare freeze-dried long-circulation oridonin liposomes with optimized parameters.

Methods: Ethanol injection method followed by freeze-drying was used to prepare the liposomes. Sephadex column was used to purify liposomes.