Multi-Bit Resistive Random-Access Memory Based on Two-Dimensional MoO Layers.

Two-dimensional (2D) material-based resistive random-access memory (RRAM) has emerged as a promising solution for neuromorphic computing and computing-in-memory architectures. Compared to conventional metal-oxide-based RRAM, the novel 2D material-based RRAM devices demonstrate lower power consumption, higher integration density, and reduced performance variability, benefiting from their atomic-scale thickness and ultra-flat surfaces. Remarkably, 2D layered metal oxides retain these advantages while preserving the merits of traditional metal oxides, including their low cost and high environmental stability.

Experimental study on shear behavior of Polyurethane/water glass-filled planar rock joints.

Rock joints are widespread in nature and have become a major obstacle to the safe development of underground space. Grouting reinforcement is widely adopted to reduce engineering disasters induced by joint sliding instability. In this study, direct shear tests of Polyurethane/water glass (PU/WG)-filled planar rock joints under constant normal stress conditions were carried out to investigate the effects of normal stress σn, PU/WG layer and curing time T on the shear behavior, shear strength and surface damage of filled joints.

PD-1 deficiency disrupts in vivo neural activity in mouse Hippocampus and cortex.

Programmed cell death 1 (PD-1), encoded by the Pdcd1 gene, was identified as a target in cancer immunotherapy but may result in the overactivation of T cell function and emotional changes such as anxiety. The dynamic changes in neuronal activity related to the anxious status caused by Pdcd1 remain unclear. In this study, we addressed these physiological issues by simultaneously recording neuronal activity (spikes) and local field potentials (LFPs) in the medial prefrontal cortex (mPFC) and hippocampal CA3 region using in vivo multi-channel electrodes.

XY criticality arising from emergent symmetry in the three-dimensional Ashkin-Teller model.

The Ashkin-Teller model plays a central role in studying the phase transitions of statistical mechanics models and condensed matter systems. Nevertheless, the phase transitions of the three-dimensional Ashkin-Teller model with competing interactions have long been an enigma. Here, we employ a methodology conceptually based on emergent symmetry and perform embedding cluster Monte Carlo simulations for unprecedentedly large systems.

Current status and influencing factors of social support for main caregivers of children with traumatic brain injury: a cross-sectional survey.

Background: Children with Traumatic Brain Injury (TBI) frequently undergo rapid fluctuations in their health status, imposing significant strain on their caregivers. This study aimed to evaluate the social support available to primary caregivers of pediatric TBI patients, to provide actionable insights to improve clinical support systems.

Methods: Primary caregivers of pediatric TBI patients treated at our hospital from February 1, 2024, to August 31, 2024, were included in this study.

Stacked Ensemble Deep Random Vector Functional Link Network With Residual Learning for Medium-Scale Time-Series Forecasting.

The deep random vector functional link (dRVFL) and ensemble dRVFL (edRVFL) succeed in various tasks and achieve state-of-the-art performance compared with other randomized neural networks (NNs). However, existing edRVFL structures need more diversity and error correction ability in an independent network. Our work fills the gap by combining stacked deep blocks and residual learning with the edRVFL.

Emergent Nambu-Goldstone phase of Z_{q} model from dynamics.

Using extensive simulations, we study the dynamic critical phenomena of the Z_{q} model in an oscillating field. We find Berezinskii-Kosterlitz-Thouless transitions for q=6 in two dimensions and a first-order transition for q=3 in three dimensions, hence the equilibrium-nonequilibrium correspondence is conditionally validated. Surprisingly, the correspondence is apparently violated at q=5, 6, and 7 in three dimensions, for which the equilibrium and nonequilibrium scenarios feature a single transition and two transitions, respectively.

Targeting APE1: Advancements in the Diagnosis and Treatment of Tumors.

With the emergence of the precision medicine era, targeting specific proteins has emerged as a pivotal breakthrough in tumor diagnosis and treatment. Apurinic/apyrimidinic Endonuclease 1 (APE1) is a multifunctional protein that plays a crucial role in DNA repair and cellular redox regulation. This article comprehensively explores the fundamental mechanisms of APE1 as a multifunctional enzyme in biology, with particular emphasis on its potential significance in disease diagnosis and strategies for tumor treatment.

Bushen Zhuyun Decoction Enhances Endometrial Receptivity via the IL-6/STAT3 Signaling Pathway in Rats.

Background: Reproductive endocrine disorder can impair endometrial receptivity, preventing embryo implantation and increasing miscarriage risk. Impaired endometrial receptivity contributes significantly to female infertility. Inflammatory signaling pathways including the IL-6/STAT3 pathway help embryos implant.

Evasion of immunosurveillance by the upregulation of Siglec15 in bladder cancer.

Immunotherapy resistance in bladder cancer (BLCA) is associated with elevated levels of sialic acid-binding immunoglobulin-like lectin (Siglec15). This protein plays a crucial role in fostering a noninflammatory tumor microenvironment (TME), which is conducive to cancer progression. Our study confirmed that the overexpression of Siglec15 led to a reduction in CD8 T cell infiltration.

Simulation Study on Diffusion and Local Structure of CH, CO, SO, and HO Mixtures into Double-Layers Graphene.

Graphene has been widely studied as an ideal material for the adsorption and separation. In this work, we used molecular dynamics simulations to investigate the evolution of diffusion and local structure of CH, CO, SO, and HO mixtures into double-layers graphene under seven different interlayer spacings and four different CO concentrations. The results showed that the adsorption of CH and CO molecules on the graphene surface weakened with increased interlayer spacing.

Theoretical Study on Intramolecular Hydrogen Bonds of Flavonoid Cocrystals.

This study investigates the role of intramolecular hydrogen bonds in the formation of cocrystals involving flavonoid molecules, focusing on three active pharmaceutical ingredients (APIs): chrysin (CHR), isoliquiritigenin (ISO), and kaempferol (KAE). These APIs form cocrystals with different cocrystal formers (CCFs) through intramolecular hydrogen bonding. We found that disruption of these intramolecular hydrogen bonds leads to decreased stability compared to molecules with intact bonds.

Efficacy of platelet-rich plasma in the treatment of thin endometrium: a meta-analysis of randomized controlled trials.

Background: Thin endometrium (TE) is a common cause of female infertility in clinical practice. Platelet-rich Plasma (PRP) therapy becomes a novel treatment for thin endometrium; however, its clinical application remains controversial. This meta-analysis aims to evaluate the therapeutic effects of intrauterine autologous PRP infusion in women with thin endometrium through relevant randomized controlled trials (RCTs).

A novel study on CXXC5: unraveling its regulatory mechanisms in hematopoietic stem cell biology through proteomics and gene editing.

Background: This study investigates the role of CXXC5 in the self-renewal and differentiation of hematopoietic stem cells (HSCs) within the bone marrow microenvironment, utilizing advanced methodologies such as single-cell RNA sequencing (scRNA-seq), CRISPR-Cas9, and proteomic analysis.

Methods: We employed flow cytometry to isolate HSCs from bone marrow samples, followed by scRNA-seq analysis using the 10x Genomics platform to examine cell clustering and CXXC5 expression patterns. CRISPR-Cas9 and lentiviral vectors facilitated the knockout and overexpression of CXXC5 in HSCs.

Controlled Fabrication of Metallic MoO Nanosheets towards High-Performance p-Type 2D Transistors.

Two-dimensional (2D) semiconducting transition metal dichalcogenides (TMDCs) are extensively employed as channel materials in advanced electronic devices. The electrical contacts between electrodes and 2D semiconductors play a crucial role in the development of high-performance transistors. While numerous strategies for electrode interface engineering have been proposed to enhance the performance of n-type 2D transistors, upgrading p-type ones in a similar manner remains a challenge.

Accelerating 3D genomics data analysis with Microcket.

The three-dimensional (3D) organization of genome is fundamental to cell biology. To explore 3D genome, emerging high-throughput approaches have produced billions of sequencing reads, which is challenging and time-consuming to analyze. Here we present Microcket, a package for mapping and extracting interacting pairs from 3D genomics data, including Hi-C, Micro-C, and derivant protocols.

ShuYu capsule alleviates emotional and physical symptoms of premenstrual dysphoric disorder: Impact on ALLO decline and GABA receptor δ subunit in the PAG area.

Premenstrual dysphoric disorder (PMDD) is a severe subtype of premenstrual syndrome in women of reproductive age, with its pathogenesis linked to the heightened sensitivity of type A γ -aminobutyric acid receptors (GABAR) to neuroactive steroid hormone changes, particularly allopregnanolone (ALLO). While a low dose of fluoxetine, a classic selective serotonin reuptake inhibitor, is commonly used as a first-line drug to alleviate emotional disorders in PMDD in clinical settings, its mechanism of action is related to ALLO-GABAA receptor function. However, treating PMDD requires attention to both emotional and physical symptoms, such as pain sensitivity.

Functionalizing tetrahedral framework nucleic acids-based nanostructures for tumor in situ imaging and treatment.

Timely in situ imaging and effective treatment are efficient strategies in improving the therapeutic effect and survival rate of tumor patients. In recent years, there has been rapid progress in the development of DNA nanomaterials for tumor in situ imaging and treatment, due to their unsurpassed structural stability, excellent material editability, excellent biocompatibility and individual endocytic pathway. Tetrahedral framework nucleic acids (tFNAs), are a typical example of DNA nanostructures demonstrating superior stability, biocompatibility, cell-entry performance, and flexible drug-loading ability.

The impact of serum uric acid on psoriasis: NHANES 2005-2014 and Mendelian randomization.

Background: Psoriasis is a chronic systemic inflammatory disease, and hyperuricemia is a common comorbidity in patients with psoriasis. However, the exact relationship between uric acid levels and psoriasis remains unclear. This study aimed to explore the association between uric acid levels and psoriasis.

Indirect co-culture of osteoblasts and endothelial cells in vitro based on a biomimetic 3D composite hydrogel scaffold to promote the proliferation and differentiation of osteoblasts.

The field of orthopedics has long struggled with the challenge of repairing and regenerating bone defects, which involves a complex process of osteogenesis requiring coordinated interactions among different types of cells. The crucial role of endothelial cells and osteoblasts in bone vascularization and osteogenesis underscores the importance of their intimate interaction. However, efforts to bioengineer bone tissue have been impeded by the difficulty in establishing proper angiogenesis and osteogenesis in tissue structures.

CTH-Net: A CNN and Transformer hybrid network for skin lesion segmentation.

Automatically and accurately segmenting skin lesions can be challenging, due to factors such as low contrast and fuzzy boundaries. This paper proposes a hybrid encoder-decoder model (CTH-Net) based on convolutional neural network (CNN) and Transformer, capitalizing on the advantages of these approaches. We propose three modules for skin lesion segmentation and seamlessly connect them with carefully designed model architecture.