The mediating effect of coping on perceived stress and professional identity among nursing interns: a cross-sectional study conducted in a medical university in China.

Background: Developing a strong professional identity is crucial to helping nursing students pursing nursing career. Stress and coping are two factors that may influence professional identity. The relationship between nursing interns' professional identity, coping, and perceived stress, however, has not received much attention in the literature.

Pedunculoside alleviates cognitive deficits and neuronal cell apoptosis by activating the AMPK signaling cascade.

Background: Mitochondrial dysfunction emerges as an early pathological hallmark of Alzheimer's disease (AD). The reduction in mitochondrial membrane potential and the elevation of reactive oxygen species (ROS) production are pivotal in the initiation of neuronal cell apoptosis. Pedunculoside(Ped), a novel triterpene saponin derived from the dried barks of Ilex rotunda Thunb, exhibits a potent anti-inflammatory effect.

Development and validation of the self-neglect questionnaire for Chinese hospitalized older adults.

This study developed the Self-neglect Questionnaire for Chinese Hospitalized Older Adults (SNQ-CHOA) and evaluated its psychometric properties. The questionnaire development followed two phases. Phase 1 included item pool construction, content validity examination and pilot study.

Perioperative care of a patient with immune thrombocytopenia purpura undergoing tubo-ovarian abscess incision and drainage: Case report.

Key Clinical Massage: Tubo-ovarian abscess (TOA) is a serious health hazard for women, causing severe sepsis. Antimicrobial treatment is effective, but one-third of patients experience unfavorable outcomes. ITP, an autoimmune condition, can lead to bruising and bleeding.

Hierarchical Porous Structured Si/C Anode Material for Lithium-Ion Batteries by Dual Encapsulating Layers for Enhanced Lithium-Ion and Electron Transports Rates.

Silicon (Si) is a promising anode material for next-generation lithium-ion batteries (LIBs) due to its high specific capacity and abundance. However, challenges such as significant volume expansion during cycling and poor electrical conductivity hinder its large-scale application. In this study, the multifunction of sodium polyacrylate (PAAS) utilized to develop a hierarchical porous silicon-carbon anode (Si/SiO@C) through a simple and efficient method.

Optical sensor for fast and accurate lung cancer detection with tissue autofluorescence and diffuse reflectance spectroscopy.

Background: Cancer is a severe threat to human health, and surgery is a major method of cancer treatment. This study aimed to develop an optical sensor for fast cancer tissue.

Methods: The tissue autofluorescence spectrum and diffuse reflectance spectrum were obtained by using a laboratory-developed optical sensor system.

Machine learning models for risk prediction of cancer-associated thrombosis: a systematic review and meta-analysis.

Background: Although the number of models for predicting the risk of cancer-associated thrombosis has been rising, there is still a lack of comprehensive assessment for machine learning prediction models.

Objectives: This study aimed to critically appraise and quantify the performance studies using machine learning to predict cancer-associated thrombosis.

Methods: We conducted searches on PubMed, Embase, The Cochrane Library, Cumulative Index to Nursing and Allied Health Literature, and other related databases for the related publications (from inception to December 1, 2023).

Machine learning for predicting in-hospital mortality in elderly patients with heart failure combined with hypertension: a multicenter retrospective study.

Background: Heart failure combined with hypertension is a major contributor for elderly patients (≥ 65 years) to in-hospital mortality. However, there are very few models to predict in-hospital mortality in such elderly patients. We aimed to develop and test an individualized machine learning model to assess risk factors and predict in-hospital mortality in in these patients.

BCL11A expression worsens the prognosis of DLBCL and its co-expression with C-MYC predicts poor survival.

Non-Hodgkin's lymphoma (NHL) is a significant global malignancy, with diffuse large B cell lymphoma (DLBCL) being the most prevalent subtype, accounting for 25-50 % of newly diagnosed cases in China. Despite a 60 % survival rate achieved with R-CHOP regiment for DLBCL, approximately 40 % of patients experience relapse or develop resistance to treatment. While the oncogenic transcription factor B-cell chronic lymphocytic leukaemia/lymphoma 11 A (BCL11A) has been implicated in various tumors, its specific role in DLBCL remains unclear.

Transcriptome-based network analysis related to regulatory T cells infiltration identified RCN1 as a potential biomarker for prognosis in clear cell renal cell carcinoma.

Background: Regulatory T cells (Tregs) play a critical role in shaping the immunosuppressive microenvironment within tumors. Investigating the role of Tregs in Clear cell renal cell carcinoma (ccRCC) is crucial for identifying prognostic markers and therapeutic targets for ccRCC.

Methods: Weighted gene co-expression network analysis (WGCNA) was utilized to pinpoint modules related to Treg infiltration in TCGA-KIRC samples.

Effects of electroconvulsive therapy on inflammatory markers and depressive symptoms in adolescents with major depressive disorder.

Objective: Limited research exists on the use of electroconvulsive therapy (ECT) for adolescents with major depressive disorder (MDD). This study investigates the effects of ECT on inflammatory markers in adolescents aged 13-18 suffering from severe MDD, evaluating its efficacy in modulating cellular inflammatory markers and ameliorating depressive symptoms.

Methods: A cohort of 38 adolescents with severe MDD received standard antidepressant therapy along with 6-8 ECT sessions spanning two weeks.

Disparities, Trends, and Predictions to 2040 in Gastrointestinal Cancer Incidence, Mortality in the United States.

Introduction: Growing gastrointestinal cancers in the United States necessitate further research due to substantial health care and economic impacts. The aim of this study was to analyze trends and future projections for 5 major gastrointestinal cancers (colorectal, pancreatic, liver, stomach, and esophageal).

Methods: Data were sourced from the Surveillance, Epidemiology, and End Results database; National Center for Health Statistics; and Global Burden of Diseases databases.

A comprehensive quantitative lifecycle cost and environmental impact analysis model for computing infrastructure.

This paper presents a comprehensive quantitative model for quantitative assessment of the lifecycle costs and environmental impacts of computing infrastructure, with a focus on internet data centers (IDCs) and high-performance computing (HPC) facilities. The key innovation lies in the integration of interdisciplinary cost evaluation and carbon emission methods for the establishment of this quantitative model. This framework, which outlines key cost components and carbon emission factors, enables the calculation of total costs, electricity expenses, and greenhouse gas emissions throughout the lifecycle of infrastructure.

Binding-driven forward tearing protospacer activated CRISPR-Cas12a system and applications for microRNA detection.

CRISPR-Cas12a system, characterized by its precise sequence recognition and cleavage activity, has emerged as a powerful and programmable tool for molecular diagnostics. However, current CRISPR-Cas12a-based nucleic acid detection methods, particularly microRNA (miRNA) detection, necessitate additional bio-engineering strategies to exert control over Cas12a activity. Herein, we propose an engineered target-responsive hairpin DNA activator (TRHDA) to mediate forward tearing protospacer activated CRISPR-Cas12a system, which enables direct miRNA detection with high specificity and sensitivity.

Biophysical and Morphological Cell Features Retrieved by Digital Holographic Microscopy Correlate with Drug-Induced Changes in Cell Migration Behavior.

Quantitative analysis of cancer cell migration is critical for developing effective therapies to curb cancer metastasis. However, traditional methods are time-consuming and labor-intensive and lack quantitative capabilities. Cell volume change, a key physiological indicator of cell migration, is directly linked to phase change.

Development and external validation of an interpretable machine learning model for the prediction of intubation in the intensive care unit.

Given the limited capacity to accurately determine the necessity for intubation in intensive care unit settings, this study aimed to develop and externally validate an interpretable machine learning model capable of predicting the need for intubation among ICU patients. Seven widely used machine learning (ML) algorithms were employed to construct the prediction models. Adult patients from the Medical Information Mart for Intensive Care IV database who stayed in the ICU for longer than 24 h were included in the development and internal validation.

Machine learning and analytic hierarchy process integration for selecting a sustainable tractor.

Selecting the appropriate tractor for small-scale farms is a complex process due to the multitude of technical, environmental, and economic criteria that must be evaluated. This study addresses this challenge by integrating the Analytic Hierarchy Process (AHP) with machine learning (ML) to reduce the number of criteria and simplify the decision-making process. The research aims to determine the most relevant criteria aligned with sustainable development goals for selecting the right tractor, focusing on small farms in the Egyptian Delta.

Depot-specific differences and heterogeneity of adipose-derived stem cells in diet-induced obesity.

Objective: Obesity is a global health concern. Studying the heterogeneity of adipose-derived stem cells (ADSCs) plays a pivotal role in understanding metabolic disorders, such as obesity.

Methods: Mass cytometry was used to determine the depot-specific differences and heterogeneity of ADSCs and their alterations at the single-cell level in a diet-induced-obesity (DIO) model in which mice were treated with liraglutide.

Perceived risk of death among patients with advanced cancer: a qualitative directed content analysis.

Background: Risk perception with respect to death is a prerequisite for patients with advanced cancer when the time comes to make medical decisions. However, the nature of death risk perception remains unclear.

Method: In-depth interviews were conducted with 28 patients with advanced cancer who were recruited from two hospitals and one home-based hospice in Fujian, China.

A large-scale retrospective study in China explores risk factors for disease severity in plaque psoriasis.

Severe psoriasis has a long course and poor outcome, and it has long been a problem for patients. Understanding the independent risk factors that contribute to patients with severe psoriasis is critical for the development of effective treatment strategies. This large, multicenter study recruited 2,109 plaque psoriasis patients from 12 hospitals across China (October 31, 2019 - May 31, 2022).