UOTe: Kondo-Interacting Topological Antiferromagnet in a Van der Waals Lattice.

Since the initial discovery of 2D van der Waals (vdW) materials, significant effort has been made to incorporate the three properties of magnetism, band structure topology, and strong electron correlations-to leverage emergent quantum phenomena and expand their potential applications. However, the discovery of a single vdW material that intrinsically hosts all three ingredients has remained an outstanding challenge. Here, the discovery of a Kondo-interacting topological antiferromagnet is reported in the vdW 5f electron system UOTe.

Bayesian Learning Aided Theoretical Optimization of IrPdPtRhRu High Entropy Alloy Catalysts for the Hydrogen Evolution Reaction.

The complex compositional space of high entropy alloys (HEAs) has shown a great potential to reduce the cost and further increase the catalytic activity for hydrogen evolution reaction (HER) by compositional optimization. Without uncovering the specifics of the HER mechanism on a given HEA surface, it is unfeasible to apply compositional modifications to enhance the performance and save costs. In this work, a combination of density functional theory and Bayesian machine learning is used to demonstrate the unique catalytic mechanism of IrPdPtRhRu HEA catalysts for HER.

Yunpi Xiefei Huatan Tang decoction reduces airway inflammation and airway remodeling in asthmatic mice through Wnt/β-catenin signaling pathway.

Background: Asthma is one of the most prevalent chronic respiratory diseases among children, markedly impairing patient's health and imposing an increasing burden on the healthcare system. Several traditional Chinese medicines have demonstrated efficacy in alleviating asthma symptoms through studies conducted on animal models. Recent studies have shown that the Yunpi Xiefei Huatan Tang decoction (YPD) exhibits significant therapeutic outcomes in treating phlegm-obstructed pulmonary asthma.

The genome landscape of the Xinglong buffalo.

Background: Xinglong buffalo, as an indigenous breed in Hainan province of China, possesses characteristics such as high humidity tolerance, disease resistance and high reproductive capacity. Combined with whole genome sequencing technology, comprehensive investigation can be undertaken to elucidate the genomic characteristics, functions and genetic variation of Xinglong buffalo population.

Results: Xinglong buffalo has the highest genetic diversity, lowest runs of homozygosity average length, and fasted decay of linkage disequilibrium in our study population.

Surface-Reconstructed CdNNi Antiperovskite Electrocatalyst: Unlocking Ampere-Level Current Density for Hydrogen Evolution.

Developing conductive electrocatalysts is crucial for decreasing the ohmic loss induced by electric resistance of the catalyst layer in the large-current-density hydrogen evolution reaction (HER), which has been overlooked previously. In this study, we screen a highly conductive antiperovskite CdNNi with negligible ohmic loss, as a highly active and durable HER electrocatalyst capable of unlocking ampere-scale current densities. CdNNi exhibits an impressive activity (an overpotential of 235 mV) at 1 A cm and maintains its performance steadily at an ampere-scale current density (at 1 A cm over 400 h).

Machine Learning-Aided Discovery of Low-Pt High Entropy Intermetallic Compounds for Electrochemical Oxygen Reduction Reaction.

Advancing the design of cathode catalysts to significantly maximize platinum utilization and augment the longevity has emerged as a formidable challenge in the field of fuel cells. Herein, we rationally design a high entropy intermetallic compound (HEIC, Pt(FeCoNiCu)) for catalyzing oxygen reduction reaction (ORR) by an efficient machine learning stategy, where crystal graph convolutional neural networks are employed to expedite the multicomponent design. Based on a dataset generated from first-principles calculations, the model can achieve a high prediction accuracy with mean absolute errors of 0.

A Liquid Band-Aid with Mesenchymal Stem Cell-Derived Exosomes for Wound Healing in Mice.

Introduction/objective: This study aimed to examine the effect of a human umbilical cord mesenchymal stem cell-derived exosome (hUC-MSC-Exo) liquid band-aid on wound healing in mice.

Methods: hUC-MSC-Exos were prepared from the supernatant via ion exchange chromatography. The composition ratio of the chitosan liquid band-aid was optimized to form a film and encapsulate hUC-MSC-Exo.

Characterization of growth arrest-specific transcript 5 and growth arrest-specific transcript 5-related m6A gene signature in glioma: An observational study.

Glioma remains a significant clinical challenge and poses a dismal patient prognosis. This study focused on the long noncoding ribonucleic acid growth arrest-specific transcript 5 (GAS5) and explored the role of GAS5 and GAS5-related m6A genes in glioma. We explored the mechanisms of GAS5 expression in glioma using bioinformatic analysis based on glioma data from the Cancer Genome Atlas, GSE1142, and Chinese Glioma Genome Atlas databases.

Mutating a flexible region of the RSV F protein can stabilize the prefusion conformation.

The respiratory syncytial virus (RSV) fusion (F) glycoprotein is highly immunogenic in its prefusion (pre-F) conformation. However, the protein is unstable, and its conformation must be stabilized for it to function effectively as an immunogen in vaccines. We present a mutagenesis strategy to arrest the RSV F protein in its pre-F state by blocking localized changes in protein structure that accompany large-scale conformational rearrangements.

Audio Signal-Stimulated Multilayered HfO/TiO Spiking Neuron Network for Neuromorphic Computing.

As the key hardware of a brain-like chip based on a spiking neuron network (SNN), memristor has attracted more attention due to its similarity with biological neurons and synapses to deal with the audio signal. However, designing stable artificial neurons and synapse devices with a controllable switching pathway to form a hardware network is a challenge. For the first time, we report that artificial neurons and synapses based on multilayered HfO/TiO memristor crossbar arrays can be used for the SNN training of audio signals, which display the tunable threshold switching and memory switching characteristics.

Microenvironment of spermatogonial stem cells: a key factor in the regulation of spermatogenesis.

Spermatogonial stem cells (SSCs) play a crucial role in the male reproductive system, responsible for maintaining continuous spermatogenesis. The microenvironment or niche of SSCs is a key factor in regulating their self-renewal, differentiation and spermatogenesis. This microenvironment consists of multiple cell types, extracellular matrix, growth factors, hormones and other molecular signals that interact to form a complex regulatory network.

Evaluation of Sepsis-Related Medical Emergency Team (MET) Calls with Pharmacist Involvement and Time to Antimicrobial Administration.

To evaluate the difference in proportion of patients receiving antimicrobials within one hour of sepsis recognition at sepsis-related Medical Emergency Team (MET) calls, without or with a sepsis-credentialed pharmacist. Retrospective pre and post-intervention study. Single centre tertiary referral hospital.

The functions and mechanisms of piRNAs in mediating mammalian spermatogenesis and their applications in reproductive medicine.

As the most abundant small RNAs, piwi-interacting RNAs (piRNAs) have been identified as a new class of non-coding RNAs with 24-32 nucleotides in length, and they are expressed at high levels in male germ cells. PiRNAs have been implicated in the regulation of several biological processes, including cell differentiation, development, and male reproduction. In this review, we focused on the functions and molecular mechanisms of piRNAs in controlling spermatogenesis, including genome stability, regulation of gene expression, and male germ cell development.

Design and Experimental of the Soil Removal Device for Root-Soil Complex of Imitating the Percussion of Woodpeckers.

A soil removal device for the root-soil complex of imitating the percussion function of a woodpecker was designed to improve the soil removal efficiency of harvesting devices for rhizome-type traditional Chinese herbal medicines. Based on the physical parameters of roots and the root-soil complex of , the structure parameters of the striking arm and the actual profile of the cam are determined according to the physical parameters when the woodpecker knocks on the tree. The key parameters that affect the working performance of the soil removal device and their suitable value ranges have been identified through the impact test and analysis of the root-soil complex of .

Establishment and validation of a nomogram for predicting the risk of hip fracture in patients with stroke: A multicenter retrospective study.

Purpose: There are currently no models for predicting hip fractures after stroke. This study wanted to investigate the risk factors leading to hip fracture in stroke patients and to establish a risk prediction model to visualize this risk.

Patients And Methods: We reviewed 439 stroke patients with or without hip fractures admitted to the Affiliated Hospital of Xuzhou Medical University from June 2014 to June 2017 as the training set, and collected 83 patients of the same type from the First Affiliated Hospital of Harbin Medical University and the Affiliated Hospital of Xuzhou Medical University from June 2020 to June 2023 as the testing set.

Sieving-type Electric Double Layer with Hydrogen Bond Interlocking to Stable Zinc Metal Anode.

The stability of aqueous zinc metal batteries is significantly affected by side reactions and dendrite growth on the anode interface, which primarily originate from water and anions. Herein, we introduce a multi H-bond site additive, 2, 2'-Sulfonyldiethanol (SDE), into an aqueous electrolyte to construct a sieving-type electric double layer (EDL) by hydrogen bond interlock in order to address these issues. On the one hand, SDE replaces HO and SO anions that are adsorbed on the zinc anode surface, expelling HO/SO from the EDL and thereby reducing the content of HO/SO at the interface.

Pain, obesity, adenosine salvage disruption, and smoking behavior mediate the effect of gut microbiota on sleep disorders: results from network Mendelian randomization and 16S rDNA sequencing.

Objectives: The objective of this study is to investigate the indirect causalities between gut microbiota and sleep disorders.

Methods: In stage 1, we utilized 196 gut microbiota as the exposure factor and conducted a two-sample univariable Mendelian randomization (MR) analysis on five sleep disorders: insomnia, excessive daytime sleepiness (EDS), sleep-wake rhythm disorders (SWRD), obstructive sleep apnea (OSA), and isolated REM sleep behavior disorder (iRBD). In stage 2, we validated the MR findings by comparing fecal microbiota abundance between patients and healthy controls through 16S rDNA sequencing.

Perineuronal nets' role in metabolism.

Perineuronal nets (PNNs), specialized extracellular matrix (ECM) structures that envelop neurons, have recently been recognized as key players in the regulation of metabolism. This review explores the growing body of knowledge concerning PNNs and their role in metabolic control, drawing insights from recent research and relevant studies. The pivotal role of PNNs in the context of energy balance and whole body blood glucose is examined.

Fluorine-Doped Carbon Support Enables Superfast Oxygen Reduction Kinetics by Breaking the Scaling Relationship.

It is well-established that Pt-based catalysts suffer from the unfavorable linear scaling relationship (LSR) between *OOH and *OH (ΔG(*OOH)=ΔG(*OH)+3.2±0.2 eV) for the oxygen reduction reaction (ORR), resulting in a great challenge to significantly reduced ORR overpotentials.