Mechanisms behind the surprising observation of supra-thermal ions in NIF's fusion burning plasmas.

Although ignition had been achieved at the National Ignition Facility (NIF), recent observations of the experiments indicate novel physics that beyond theoretical predictions emerge, e.g., the neutron analysis of experiments has revealed deviations from the Maxwellian distributions in ion relative kinetic energies of burning plasmas, with the surprising emergence of supra-thermal deuterium and tritium (DT) ions that fall outside the predictions of macroscopic statistical hydrodynamic models.

How technical and situational cues affect impulse buying behavior in social commerce? Evidence from bored consumers.

Introduction: With the rise of social media and web technologies, users are increasingly spending time on browsing and purchasing on social commerce, particularly during idle moments of casual scrolling. Social commerce applications with sophisticated social features and security measures may tend to attract a significant number of highly engaged users. The purpose of this study is to find out whether customers will be interested in the content posted on the applications and generate impulse consumption when they are bored.

Adaptive penalty-based neurodynamic approach for nonsmooth interval-valued optimization problem.

The complex and diverse practical background drives this paper to explore a new neurodynamic approach (NA) to solve nonsmooth interval-valued optimization problems (IVOPs) constrained by interval partial order and more general sets. On the one hand, to deal with the uncertainty of interval-valued information, the LU-optimality condition of IVOPs is established through a deterministic form. On the other hand, according to the penalty method and adaptive controller, the interval partial order constraint and set constraint are punished by one adaptive parameter, which is a key enabler for the feasibility of states while having a lower solution space dimension and avoiding estimating exact penalty parameters.

Automated machine learning for the identification of asymptomatic COVID-19 carriers based on chest CT images.

Background: Asymptomatic COVID-19 carriers with normal chest computed tomography (CT) scans have perpetuated the ongoing pandemic of this disease. This retrospective study aimed to use automated machine learning (AutoML) to develop a prediction model based on CT characteristics for the identification of asymptomatic carriers.

Methods: Asymptomatic carriers were from Yangzhou Third People's Hospital from August 1st, 2020, to March 31st, 2021, and the control group included a healthy population from a nonepizootic area with two negative RT‒PCR results within 48 h.

Vacuolar Sugar Transporter TMT2 Plays Crucial Roles in Germination and Seedling Development in Arabidopsis.

Vacuolar sugar transporters transport sugar across the tonoplast, are major players in maintaining sugar homeostasis, and therefore play vital roles in plant growth, development, and biomass yield. In this study, we analyzed the physiological roles of the tonoplast monosaccharide transporter 2 (TMT2) in Arabidopsis. In contrast to the wild type (WT) that produced uniform seedlings, the mutant produced three types of offspring: un-germinated seeds (UnG), seedlings that cannot form true leaves (), and seedlings that develop normally ().

Preventive effect of salmon sperm DNA on acute carbon tetrachloride-induced liver injury in mice through Nrf2/ARE and mitochondrial apoptosis pathway.

Liver injury refers to the damage of liver function, which will seriously harm the body's health if it is not prevented and treated in time. Sporadic researches have reported that ingestion of DNA has a hepatoprotective effect, but its effect and mechanism were not clarified. The purpose of this study was to explore the preventive effect and mechanism of salmon sperm DNA on acute liver injury in mice induced by carbon tetrachloride (CCl).

Identification of Asymptomatic COVID-19 Patients on Chest CT Images Using Transformer-Based or Convolutional Neural Network-Based Deep Learning Models.

Novel coronavirus disease 2019 (COVID-19) has rapidly spread throughout the world; however, it is difficult for clinicians to make early diagnoses. This study is to evaluate the feasibility of using deep learning (DL) models to identify asymptomatic COVID-19 patients based on chest CT images. In this retrospective study, six DL models (Xception, NASNet, ResNet, EfficientNet, ViT, and Swin), based on convolutional neural networks (CNNs) or transformer architectures, were trained to identify asymptomatic patients with COVID-19 on chest CT images.

Targeted delivery of doxorubicin to liver used a novel biotinylated β-cyclodextrin grafted pullulan nanocarrier.

A series of biotinylated β-cyclodextrin grafted pullulan (Bio-CDPu) for liver-specific drug delivery were synthesized and characterized by Fourier transform infrared (FTIR) and hydrogen nuclear magnetic resonance (H NMR) spectroscopy, and then their self-assembled spherical nanoparticles (NPs) with 110-200 nm diameter were prepared. Doxorubicin (DOX) was selected as an anti-cancer model drug to prepare the drug-loaded NPs, and the drug loading efficiency (LE%) and loading content (LC%) were determined. The drug release behavior in vitro of DOX/Bio-CDPu NPs exhibited sustained release.

Salmon sperm DNA prevents acute liver injury by regulating alcohol-induced steatosis and restores chronic hepatosis via alleviating inflammation and apoptosis.

Current medications used to treat alcoholic liver injury (ALD) can cause secondary damage to the liver. Therefore, it is important to improve alcoholic liver injury from the perspective of dietary and nutritional supplementation. Nucleic acids, as functional biomolecules, are present in almost all foods, especially in aquatic products, but their edible research has been neglected for a long time.

Quantitative regulation of the thermal stability of enveloped virus vaccines by surface charge engineering to prevent the self-aggregation of attachment glycoproteins.

The development of thermostable vaccines can relieve the bottleneck of existing vaccines caused by thermal instability and subsequent poor efficacy, which is one of the predominant reasons for the millions of deaths caused by vaccine-preventable diseases. Research into the mechanism of viral thermostability may provide strategies for developing thermostable vaccines. Using Newcastle disease virus (NDV) as model, we identified the negative surface charge of attachment glycoprotein as a novel determinant of viral thermostability.

Computational insights into the different catalytic activities of CYP3A4 and CYP3A5 toward schisantherin E.

The cytochromes CYP3A4 and CYP3A5 share 84% sequence identity, but they exhibit different catalytic activities toward some substrates. Schisantherin E (SE) was recently identified as a selective substrate of CYP3A5, which exhibited catalytic efficiency that was more than 23 times higher than CYP3A4. At present, however, the structural determinants responsible for the different catalytic activities of the two enzymes toward SE have not been fully understood.

The preparation of hyaluronic acid grafted pullulan polymers and their use in the formation of novel biocompatible wound healing film.

A series of hyaluronic acid grafted pullulan (HA-g-Pu) polymers with different hyaluronic acid (HA) moieties degrees of substitution (DS) were synthesized and characterized by fourier transform infrared (FT-IR), proton nuclear magnetic resonance (H NMR) and differential scanning calorimetry measurement (DSC). Compared to pure HA, HA-g-Pu polymers obtained better anti-enzymatic degradation ability in vitro, and the degradation rate of HA-g-Pu polymers depended on their different DS of HA moieties. The HA-g-Pu films were made of leaf-shape cascading arrangement with many small porous ranging from 0 to 100 μm in diameter when observed by scanning electron microscopy (SEM).

In Silico Prediction of Chemicals Binding to Aromatase with Machine Learning Methods.

Environmental chemicals may affect endocrine systems through multiple mechanisms, one of which is via effects on aromatase (also known as CYP19A1), an enzyme critical for maintaining the normal balance of estrogens and androgens in the body. Therefore, rapid and efficient identification of aromatase-related endocrine disrupting chemicals (EDCs) is important for toxicology and environment risk assessment. In this study, on the basis of the Tox21 10K compound library, in silico classification models for predicting aromatase binders/nonbinders were constructed by machine learning methods.

Subglottic Squamous Cell Carcinoma: A Population-Based Study of 889 Cases.

Objective: Subglottic squamous cell carcinoma (SCCa) is a rare malignancy representing <5% of all laryngeal cancers. Patients often present with late-stage disease, and survival outcomes are reportedly worse than those for SCCa in other regions of the larynx.

Study Design: Analysis of a population-based tumor registry.