How Workplace Telepressure Fuels Job Burnout Among Educators: Mediated by Work-Related Rumination and Moderated by Perceived Organizational Support.

The rapid advancement in information and communication technologies (ICT) has improved workplace productivity but also introduced new psychosocial stressors. Workplace telepressure, the urge to respond quickly to work-related messages sent via digital communication tools, often erodes employees' psychological well-being and blurs work-life boundaries. This study, grounded in the Job Demands-Resources (JD-R) model, investigates the influence mechanism between workplace telepressure and job burnout.

Phospholipid-Drug Conjugates Self-Organized into Well-Defined Supramolecular Nanotubes for Efficient Drug Delivery.

Controlled self-organization of amphiphilic phospholipid camptothecin (CPT) conjugates (named PCCs) selectively forms supramolecular nanotubes with varying lengths and polydispersity. Our study elucidates the underlying mechanisms governing PCC assembly, demonstrating that π-π stacking interactions derived from the planar, conjugated structure of CPT play a pivotal role in nanotube formation. Precise modulation of the hydrophobic characteristics of PCC linkers enables fine-tuning of π-stacking strength, thereby controlling the length of the nanotubes, ranging from the nano- to micro-scale.

Experimental study on the mechanical properties and deformation failure characteristics of sandstone under graded equal amplitude cyclic loading and unloading.

To investigate the effects of graded equal amplitude cyclic loading on rock deformation and failure, this study examines the influence of confining pressure and upper limit cyclic stress on the deformation parameters, stress-strain hysteresis curves, and macroscopic failure characteristics of sandstone during cyclic loading and unloading processes. Through a series of three-stage cyclic loading and unloading tests conducted under varying confining pressures, the findings indicate the following. With the increase of confining pressure and upper limit stress, the axial hysteretic loop of cyclic loading and unloading shows a tendency of expansion, and the hysteresis loop gradually changes from dense to sparse.

The m6A methyltransferase METTL14 governs NLRP3 and facilitates myocardial infarction via pyroptosis.

BackgroundN6-methyladenosine (m6A) methylation plays an important role in myocardial infarction, which is related to cardiomyocyte pyroptosis. This study aimed to explore the effects of the m6A methyltransferase, METTL14, on pyroptosis and the underlying mechanisms.Materials and methodsThe role of METTL14 was assessed by TTC staining, biochemical indicators, and H&E assays.

Advancements in liquid biopsy for breast Cancer: Molecular biomarkers and clinical applications.

Breast cancer is characterized by significant molecular heterogeneity; therefore, there are distinct clinical features, treatment modalities, and prognostic outcomes across its various molecular subtypes. In the era of precision medicine, liquid biopsy has emerged as a convenient and minimally invasive technique capable of dynamically representing the comprehensive tumor gene spectrum. This review systematically elaborates the clinical value of liquid biopsy as a breakthrough tool for precision diagnosis and treatment in breast cancer through dynamic detection of key biomarkers, including circulating tumor DNA (ctDNA), circulating tumor cells (CTCs), exosomes, and non-coding RNA (ncRNA).

Eno1 in sepsis-induced coagulopathy: a pleiotropic mechanism hypothesis involving immunomodulation and endothelial dysfunction.

Background: Septic-induced coagulopathy (SIC) is a major cause of mortality in sepsis, closely associated with endothelial glycocalyx damage. Enolase 1 (Eno1), a key enzyme in glycolysis, plays a crucial role in sepsis-related systemic inflammation and the maintenance of glycocalyx integrity.

Objective: This study utilizes multi-omics analysis to investigate the Eno1-regulated network, providing a comprehensive understanding of its molecular mechanisms in SIC.

Lipoprotein(a) and its linear association with all-cause and cardiovascular mortality in patients with acute coronary syndrome.

Objective: This study aimed to investigate the linear association between lipoprotein(a) [Lp(a)] levels and all-cause and cardiovascular mortality in patients with acute coronary syndrome (ACS).

Methods: This retrospective cohort study included 578 patients with ACS who were hospitalized at Henan Provincial People's Hospital between January 2020 and January 2024. Patients were categorized into two groups: lower Lp(a) group (≤ 300 mg/L) and higher Lp(a) group (> 300 mg/L).

High-precision lung cancer subtype diagnosis on imbalanced exosomal data via Exo-LCClassifier.

Background And Objective: Gene expression analysis plays a critical role in lung cancer research, offering molecular feature-based diagnostic insights that are particularly effective in distinguishing lung cancer subtypes. However, the high dimensionality and inherent imbalance of gene expression data create significant challenges for accurate diagnosis. This study aims to address these challenges by proposing an innovative deep learning-based method for predicting lung cancer subtypes.

Direct orientational epitaxy of wafer-scale 2D van der Waals heterostructures of metal dichalcogenides.

Two-dimensional (2D) van der Waals (vdW) heterostructures have emerged as a groundbreaking candidate for future integrated circuits due to their tunable band structures, atomically sharp interfaces and seamless compatibility with complementary metal-oxide-semiconductor technologies. Despite their promise, existing synthesis methods, such as mechanical transfer and vapor-phase conversion, struggle to achieve the high-quality, scalable production for practical applications. In response to these longstanding challenges, our study unveils for the first time the direct epitaxial growth of wafer-scale 2D vdW heterostructures (MoS[Formula: see text]/SnS[Formula: see text]) with exceptional quality and uniformity.

A Hybrid Prediction Model Based on Decomposition-Integration for Foodborne Disease Risks.

Foodborne diseases (FBDs) are contagious, explosive, clustered diseases caused by the ingestion of contaminated foods, which represent huge economic and health burdens globally. Reliably predicting the risk trend of FBDs has become a major challenge in the field of public health. This study aimed to design a risk prediction model suitable for predicting FBD risks by using the decomposition-integration technique.

Open-source Micro-Manager Plugin for Live-view Imaging of Fluorescent Dipoles.

Fluorescence polarization microscopy (FPM) can image the position and dipole orientation of fluorophores. Despite the achievements of super-resolution fluorescence polarization microscopy, their reliance on post-acquisition hinders real-time observation. Polarized structured illumination microscopy (pSIM) offers super-resolution imaging of fluorescent dipoles with fast imaging speed and is well-suited for live-cell applications.

Hierarchical attention transformer provides assistant suggestions for orbital rejuvenation surgery.

Background: Early detection of periocular aging is a common concern in cosmetic surgery. Traditional diagnostic and treatment methods often require hospital visits and consultations with plastic surgeons, which are costly and time-consuming. This study aims to develop and evaluate an AI-based decision-making system for periocular cosmetic surgery, utilizing a Hierarchical Attention Transformer (HATrans) model designed for multi-label classification in periocular conditions, allowing for home-based early aging identification.

Chemocatalytic Cell Tagging Platform for Recording Cell-Cell Interactions via Engineered Palladium-Based Artificial Metalloenzymes.

Proximity labeling platforms (PLPs) have become a powerful tool for studying spatial cell-cell interactions (CCIs) in living organisms. However, their effectiveness often relies on membranal catalytic modules of bait cells, such as natural enzymes or small-molecule photocatalysts, which are typically constrained by complex genetic modifications or the limited applicability of visible light. Here, we present a novel chemocatalytic approach, ArM-Tag, which utilizes an engineered artificial metalloenzyme (ArM) for cell surface-localized tagging.

The interaction network and potential clinical effectiveness of dimensional psychopathology phenotyping based on EMR: a Bayesian network approach.

The current DSM-oriented diagnostic paradigm has introduced the issue of heterogeneity, as it fails to account for the identification of the neurological processes underlying mental illnesses, which affects the precision of treatment. The Research Domain Criteria (RDoC) framework serves as a recognized approach to addressing this heterogeneity, and several assessment and translation techniques have been proposed. Among these methods, transforming RDoC scores from electronic medical records (EMR) using Natural Language Processing (NLP) has emerged as a suitable technique, demonstrating clinical effectiveness.

Recombinant nanobody expressed by transgenic chimeric chickens eliminated vertical transmission of avian leukosis virus subgroup J.

Because of the vertical transmission of avian leukosis virus subgroup J (ALV-J), control of ALV-J in breed of chicken is still a serious issue. Blocking vertical transmission using antibodies is a potential strategy, but its high cost limits its application. We artificially designed recombinant nanobody (Nb) and efficiently expressed and secreted them in three primary chicken cells cultured in vitro by adenovirus delivery.

Enforced E-selectin ligand installation enhances homing and efficacy of adoptively transferred T cells.

Adoptive T-cell transfer has revolutionized the treatment of hematological malignancies. However, this approach has had very limited success in treating solid tumors, largely due to inadequate infiltration of vascularly administered T cells at tumor sites. The shear-resistant interaction between endothelial E-selectin and its cognate ligand expressed on leukocytes, sialyl Lewis X (sLe), is an essential prerequisite for extravasation of circulating leukocytes.

The role of TBC1D15 in sepsis-induced acute lung injury: Regulation of mitochondrial homeostasis and mitophagy.

Mitochondrial quality control is crucial in sepsis-induced acute lung injury (SI-ALI). Our study investigates how the intracellular protein TBC1D15 regulates mitochondrial quality to improve SI-ALI. We found TBC1D15 levels significantly decreased in the whole blood of sepsis patients, monocytes, lung tissue from SI-ALI mice, and the MLE-12 cellular model (mouse lung epithelial cells).

Association between psychiatric symptoms with multiple peripheral blood sample test: a 10-year retrospective study.

Background: Psychiatric illness is thought to be a brain somatic crosstalk disorder. However, the existing phenomenology-based Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) diagnostic framework overlooks various dimensions other than symptoms. In this study, we investigated the associations between peripheral blood test indexes with various symptom levels of major depressive disorder (MDD), bipolar disorder (BD), and schizophrenia (SCZ) to explore the availability of peripheral blood test indexes.

Development of an indirect ELISA based on the VP1 protein for detection of antibodies against water buffalo Hunnivirus.

Buffalo hunnivirus (BufHuV) is an important pathogen, which can cause diarrhea in water buffaloes, and as yet, there are no vaccines and drugs for its prevention and control. Here we studied the immunogenicity and predicted the three-dimensional structure of the BufHuV VP1 protein, in order to establish a rapid and efficient serological assay for detection of its antibodies in the host. The N-terminal truncated gene, consisting of amino acids 5-117, was selected and cloned into the prokaryotic expression vector pET-32a (+) to obtain the recombinant plasmid, pET-32a-BufHuV-VP1-1.

Ground-to-air aircraft infrared image deblurring based on imaging degradation simulation.

The issue of infrared image deblurring has been a significant concern. However, in some specific scenes, the current mainstream deblurring algorithms based on optimization or deep learning fail to provide satisfactory results. Aiming to address the ineffectiveness of deep learning methods due to the low-cost datasets' unavailability for specific scenes, we innovatively propose a relatively simple full-chain imaging degradation simulation method using ground-to-air aircraft infrared imaging scene as an example, which considers the effects of blur and noise caused by the atmosphere, imaging system, target motion and detector.

Transient EZH2 Suppression by Tazemetostat during In Vitro Expansion Maintains T-Cell Stemness and Improves Adoptive T-Cell Therapy.

The histone methyltransferase enhancer of zeste homolog 2 (EZH2) plays important roles in T-cell differentiation, proliferation, and function. Previous studies have demonstrated that genetic deletion of EZH2 in CD8+ or total T cells impairs their antiviral and antitumor activities, cytokine production, and ability to expand upon rechallenge. Contrary to the detrimental role of deleting T cell-intrinsic EZH2, in this study, we demonstrated that transient inhibition of EZH2 in T cells prior to the phenotypic onset of exhaustion with a clinically approved inhibitor, tazemetostat (Taz), delayed their dysfunctional progression and preserved T-cell stemness and polyfunctionality but had no negative impact on cell proliferation.

Energy metabolism-related GLUD1 contributes to favorable clinical outcomes of IDH-mutant glioma.

Background: Glioma is the most common brain tumor. IDH mutations occur frequently in glioma, indicating a more favorable prognosis. We aimed to explore energy metabolism-related genes in glioma to promote the research and treatment.

Metabolic engineering of Escherichia coli for high-level production of benzyl acetate from glucose.

Background: Benzyl acetate is an aromatic ester with a jasmine scent. It was discovered in plants and has broad applications in food, cosmetic, and pharmaceutical industries. Its current production predominantly relies on chemical synthesis.

Heterojunction photoelectric device with fast response speed and low power consumption composed of WSSe and AlN.

Through the accurate calculation of density functional theory, reveal the excellent photoelectric properties of the AlN/WSSe and WSSe/AlN heterojunction. Especially, the hole mobility of the AlN/WSSe heterojunction is as high as 3919 cmVsin armchair direction, and the hole mobility of the WSSe/AlN heterojunction is as high as 4422 cmVsin the zigzag direction. Interestingly, when two H atoms are adsorbed in the WSSe surface, the Gibbs free energy change are -0.