Boundary driven shear flows and wall thermostats are being used in computer simulations of materials with increasing frequency. One attraction is that such boundary constraints offer a more realistic representation of the physical constraints imposed experimentally than the widely employed homogeneous constraints. In this paper we derive the linear response expressions for shear viscosity and thermal conductivity based on the fluctuations associated with boundary constraints. We demonstrate that our approach provides an effective method of describing the rheology in interfaces as well as bulk samples.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1103/PhysRevE.71.061201 | DOI Listing |
J Med Internet Res
January 2025
Graduate School of Health Science and Technology, Ulsan National Institute of Science and Technology, Ulsan, Republic of Korea.
Background: Artificial intelligence (AI) social chatbots represent a major advancement in merging technology with mental health, offering benefits through natural and emotional communication. Unlike task-oriented chatbots, social chatbots build relationships and provide social support, which can positively impact mental health outcomes like loneliness and social anxiety. However, the specific effects and mechanisms through which these chatbots influence mental health remain underexplored.
View Article and Find Full Text PDFJ Trauma Nurs
January 2025
Author Affiliations: School of Nursing and Health Management, Shanghai University of Medicine & Health Sciences, Shanghai (Mss Jiang and Ying and Drs Xu, Cao, and Zhou); and Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China (Ms Liu).
Background: The psychological resilience of patients with traumatic lower extremity fractures is relevant and has been studied in the postoperative rehabilitation phase; yet, few studies have focused on the early preoperative phase.
Objective: This study aims to explore preoperative psychological resilience in patients with traumatic lower extremity fractures.
Methods: This single-center cross-sectional survey design study was conducted over 5 months from December 2022 to April 2023 in a tertiary hospital in Shanghai, China.
Biometrics
January 2025
School of Statistics and Management, Shanghai University of Finance and Economics, Shanghai 200433, China.
As a commonly employed method for analyzing time-to-event data involving functional predictors, the functional Cox model assumes a linear relationship between the functional principal component (FPC) scores of the functional predictors and the hazard rates. However, in practical scenarios, such as our study on the survival time of kidney transplant recipients, this assumption often fails to hold. To address this limitation, we introduce a class of high-dimensional partially linear functional Cox models, which accommodates the non-linear effects of functional predictors on the response and allows for diverging numbers of scalar predictors and FPCs as the sample size increases.
View Article and Find Full Text PDFBreast Cancer
January 2025
Division of Breast and Endocrine Surgery, Department of Surgery, School of Medicine, Hyogo Medical University, 1-1 Mukogawa-cho, Nishinomiya, Hyogo, 663-8501, Japan.
Purpose: The aim of this study was to examine the clinical utility of tumor-infiltrating lymphocytes (TILs) evaluated by "average" and "hot-spot" methods in breast cancer patients.
Methods: We examined 367 breast cancer patients without neoadjuvant chemotherapy (NAC) by average and hot-spot methods to determine the consistency of TIL scores between biopsy and surgical specimens. TIL scores before NAC were also compared with the pathological complete response (pCR) rate and clinical outcomes in 144 breast cancer patients that received NAC.
Mikrochim Acta
January 2025
CAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, 100049, China.
To enhance the application performance of graphdiyne (GDY) in electrochemical sensing, carbon nanotubes (CNTs) were grown in situ to construct three-dimensional nanoarchitectures of GDY-CNTs composites. GDY-CNTs showed superior electrochemical properties and detection response to MP when compared with GDY, as the in situ growth of CNTs significantly increased the electrode surface area and enhanced the electron transfer process. GDY-CNTs were successfully used to construct electrochemical sensors for methyl parathion (MP).
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!