Objective: To identify the occupational factors that influence turnover intention among working women with lower urinary tract symptoms (LUTS).
Methods: This cross-sectional study targeted 410 working women with LUTS from a 2022 survey. Occupational characteristics, including working hours, shift work, bathroom accessibility, sitting time, musculoskeletal strain, job stress, and emotional labor, were assessed through a structured self-reported questionnaire using validated tools.
Despite their safety and widespread use, conventional protein antigen-based subunit vaccines face significant challenges such as low immunogenicity, insufficient long-term immunity, poor CD8 T-cell activation, and poor adaptation to viral variants. To address these issues, an infection-mimicking gel (IM-Gel) is developed that is designed to emulate the spatiotemporal dynamics of immune stimulation in acute viral infections through in situ supramolecular self-assembly of nanoparticulate-TLR7/8a (NP-TLR7/8a) and an antigen with tannic acid (TA). Through collagen-binding properties of TA, the IM-Gel enables sustained delivery and enhanced retention of NP-TLR7/8a and protein antigen in the lymph node subcapsular sinus of mice for over 7 days, prolonging the exposure of vaccine components in both B cell and T cell zones, leading to robust humoral and cellular responses.
View Article and Find Full Text PDFThe anisotropic properties of materials profoundly influence their electronic, magnetic, optical, and mechanical behaviors and are critical for a wide range of applications. In this study, the anisotropic characteristics of Ni-based van der Waals materials, specifically NiTe and its alloy NiTeSe, utilizing a combination of comprehensive scanning tunneling microscopy (STM), angle-resolved photoemission spectroscopy (ARPES), and density functional theory (DFT) calculations, are explored. Unlike 1T-NiTe, which exhibits trigonal in-plane symmetry, the substitution of Te with Se in NiTe (resulting in the NiTeSe alloy) induces a pronounced in-plane anisotropy.
View Article and Find Full Text PDFMachine learning interatomic potentials (MLIPs) promise quantum-level accuracy at classical force field speeds, but their performance hinges on the quality and diversity of training data. An efficient and fully automated approach to sample chemical reaction space without relying on human intuition, addressing a critical gap in MLIP development is presented. The method combines the speed of tight-binding calculations with selective high-level refinement, generating diverse datasets that capture both equilibrium and reactive regions of potential energy surfaces.
View Article and Find Full Text PDFIntroduction: Heart failure (HF) is a chronic condition with an unpredictable trajectory, making effective communication between patients and healthcare providers crucial for optimizing outcomes. This study aims to investigate and compare the communication needs regarding HF trajectory and palliative care between patients and healthcare providers and to identify factors associated with the communication needs of patients with HF.
Methods: A cross-sectional study design was employed, involving 100 patients with HF and 35 healthcare providers.