Valence-engineering modulation of MoS clusters for enhancing biocatalytic activity.

Earth-abundant MoS with the advantages of a stable structure, tunable bandgap, and easy shear has great potential for applications in the fields of catalysis, biomedicine, and so on. However, the biocatalytic activity of MoS remains little investigated and is insufficient for biomedical applications. In this work, we develop ultra-small and water-soluble MoS clusters with superior antioxidant activity and enzyme-like activity valence-engineering modulation with Ce doping.

Nomogram based on burn characteristics and the National Early Warning Score to predict survival in severely burned patients.

Background: Extensive burns are associated with a high mortality rate. Early prediction and action can reduce mortality. The National Early Warning Score (NEWS) is considered the best early warning score for predicting mortality.

Riemannian manifold-based disentangled representation learning for multi-site functional connectivity analysis.

Functional connectivity (FC), derived from resting-state functional magnetic resonance imaging (rs-fMRI), has been widely used to characterize brain abnormalities in disorders. FC is usually defined as a correlation matrix that is a symmetric positive definite (SPD) matrix lying on the Riemannian manifold. Recently, a number of learning-based methods have been proposed for FC analysis, while the geometric properties of Riemannian manifold have not yet been fully explored in previous studies.

Container Plasty in Advanced Painful Osteolytic Vertebral Metastases With Posterior Wall Defect: A Retrospective Observational Study.

Study Design: Review of mesh-container plasty (MCP) in osteolytic vertebral metastases.

Objective: This study aims to assess the efficacy and safety of MCP in treating advanced vertebral metastases with posterior wall defects.

Background: Diagnosis of vertebral metastases typically relies on the patient's tumor history, bone scans, or vertebral MRI.

Ellagic acid(EA) ameliorates Alzheimer's disease by reducing Aβ levels, oxidative stress and attenuating inflammation.

Background: Ellagic acid (EA) serves as a pivotal coenzyme for various dehydrogenases, influencing diverse biological processes. Recognized for its potential in impeding disease progression, EA's effectiveness and mechanism in treating 5xFAD remain elusive.

Aim Of The Study: This study aims to investigate EA's potential roles and underlying mechanisms in mitigating symptoms associated with 5xFAD.

Secure consensus for PDEs-based multiagent systems under DoS attacks via boundary control approach.

This paper focuses on secure consensus for leader-following multiagent systems (MASs) modeled by partial differential equations (PDEs) under denial of service (DoS) attacks. To mitigate the negative effects of DoS attacks, which can paralyze communication and cause agents to fail to receive valid control inputs, a buffer region is established in the communication channels among agents to temporarily store messages from neighbors. Additionally, since the states of the leader and followers are not always measurable, observers are used to estimate these states.

The Efficacy and Safety of Complementary and Alternative Medicine for Depression: An Umbrella Review.

Objective: Depression is a major public health problem. Many complementary and alternative medicine (CAM) interventions have been suggested as potential treatments.

Methods: We comprehensively searched for relevant systematic reviews and meta-analyses in the PubMed, EMBASE, Web of Science, and Cochrane Library databases.

Endangered status and threatened population ecological factors in , an endemic species from Hunan, China.

Many species of have excellent ornamental, culinary, and medicinal values. , is an ornamental and highly medicinal perennial herb endemic to the prefecture-level city of Zhangjiajie in Hunan Province, China, with a narrow geographical distribution. However, currently, it has only been assessed as a Critically Endangered species according to the IUCN classification criteria, but its conservation has not yet been studied.

Revealing the Nature of Binary-Phase on Structural Stability of Sodium Layered Oxide Cathodes.

The emergence of layered sodium transition metal oxides featuring a multiphase structure presents a promising approach for cathode materials in sodium-ion batteries, showcasing notably improved energy storage capacity. However, the advancement of cathodes with multiphase structures faces obstacles due to the limited understanding of the integrated structural effects. Herein, the integrated structural effects by an in-depth structure-chemistry analysis in the developed layered cathode system NaCuCoNiMnTiO with purposely designed P2/O3 phase integration, are comprehended.

Predefined-time distributed optimization and anti-disturbance control for nonlinear multi-agent system with neural network estimator: A hierarchical framework.

This paper addresses the predefined-time distributed optimization of nonlinear multi-agent system using a hierarchical control approach. Considering unknown nonlinear functions and external disturbances, we propose a two-layer hierarchical control framework. At the first layer, a predefined-time distributed estimator is employed to produce optimal consensus trajectories.

Study on chitosan/gelatin hydrogels containing ceria nanoparticles for promoting the healing of diabetic wound.

Chronic inflammation at diabetic wound sites results in the uncontrolled accumulation of pro-inflammatory factors and reactive oxygen species (ROS), which impedes cell proliferation and delays wound healing. To promote the healing of diabetic wounds, chitosan/gelatin hydrogels containing ceria nanoparticles (CNPs) of various sizes were created in the current study. CNPs' efficacy in removing , •OH, and HO was demonstrated, and the scavenging ability of CNPs of varying sizes was compared.

Cytisine-N-methylene-(5,7,4-trihydroxy)- isoflavone ameliorates ischemic stroke-induced brain injury in mouse by regulating the oxidative stress and BDNF-Trkb/Akt pathway.

Background: A novel compound Cytisine-N-methylene-(5,7,4'-trihydroxy)- isoflavone (LY01) found in the Sophora alopecuroides L is a neuroprotective agent. However, the effect and potential mechanism of LY01 treatment for ischemic stroke (IS) have not been fully elucidated.

Aim Of The Study: The aim of this study is to demonstrate whether LY01 can rescue ischemic stroke-induced brain injury and oxygen-glucose deprivation/reperfusion (OGD/R).

Cross-site prognosis prediction for nasopharyngeal carcinoma from incomplete multi-modal data.

Accurate prognosis prediction for nasopharyngeal carcinoma based on magnetic resonance (MR) images assists in the guidance of treatment intensity, thus reducing the risk of recurrence and death. To reduce repeated labor and sufficiently explore domain knowledge, aggregating labeled/annotated data from external sites enables us to train an intelligent model for a clinical site with unlabeled data. However, this task suffers from the challenges of incomplete multi-modal examination data fusion and image data heterogeneity among sites.

One-stage posterior transpedicular debridement, hemi-interbody and unilateral-posterior bone grafting, and instrumentation for the treatment of thoracic spinal tuberculosis: a retrospective study.

Purpose: To investigate the clinical efficacy and feasibility of the surgical treatment of thoracic spinal tuberculosis using one-stage posterior instrumentation, transpedicular debridement, and hemi-interbody and unilateral posterior bone grafting.

Methods: Fifty-six patients with thoracic spinal tuberculosis who underwent surgery performed by a single surgeon between September 2009 and August 2020 were enrolled in this study. Based on data from the erythrocyte sedimentation rate (ESR), Visual Analog Scale (VAS), and Cobb angle before surgery, after surgery, and at the most recent follow-up, clinical effectiveness was assessed using statistical analysis.

Identification of heterosis and combining ability in the hybrids of male sterile and restorer sorghum [Sorghum bicolor (L.) Moench] lines.

In sorghum [Sorghum bicolor (L.) Moench], combining ability and heterosis analysis are commonly used to evaluate superior parental lines and to screen for strongly heterotic hybrids, which helps in sorghum variety selection and breeding. In this context, combining ability and heterosis analysis were assessed using 14 restorer lines and seven cytoplasmic male sterile (CMS) lines in 2019 and 2020.

Distributed deep reinforcement learning based on bi-objective framework for multi-robot formation.

Improving generalization ability in multi-robot formation can reduce repetitive training and calculation. In this paper, we study the multi-robot formation problem with the ability to generalize the target position. Since the generalization ability of neural network is directly proportional to spatial dimension, we adopt the strategy of using different networks to solve different objectives, so that the network learning can focus on the learning of one objective to obtain better performance.

Effect of High-Hydrostatic-Pressure Treatment on the Physicochemical Properties of Kafirin.

The kafirin derived from Jin Nuo 3 sorghum underwent a high-hydrostatic-pressure (HHP) treatment of 100, 300, and 600 MPa for 10 min to investigate alterations in its physicochemical attributes. The findings exhibited a reduction in protein solubility, declining from 83% to 62%, consequent to the application of the HHP treatment. However, this treatment did not lead to subunit-specific aggregation.

Effect of anti-inflammatory drugs on the storm of inflammatory factors in respiratory tract infection caused by SARS-CoV-2: an updated meta-analysis.

Background: New reports suggest that anti-inflammatory drugs are widely used to treat respiratory tract infections caused by SARS-CoV-2. Anti-inflammatory drugs were the most frequently used treatment for the COVID-19-related cytokine storm in China. However, the efficacy of anti-inflammatory drugs has yet to be systematically analyzed, and clinicians are often uncertain which class of anti-inflammatory drug is the most effective in treating patients with respiratory tract infections caused by SARS-CoV-2, especially those with severe disease.

Awake rabbit model of ischemic spinal cord injury with delayed paraplegia: The role of ambient temperature.

Background: Paraplegia after spinal cord ischemia is a devastating condition in the clinic. Here, we develop an awake rabbit model of spinal cord ischemia with delayed paraplegia and explore the influence of ambient temperature on the outcomes after injury.

Methods: A total of 47 male rabbits were involved in the present study.