Bridging Experience and Practice: A Grounded Theory Study of Nurses' Hospitalisation Experiences as Patients or Family Members.

Aims: This study aimed to develop a grounded theory that explains how nurses' experiences as patients or family members influence their provision of patient-centred care.

Design: A grounded theory approach.

Methods: Twenty clinical nurses in South Korea participated; nine had experiences as patients and 11 as family members during hospitalisation.

Mixed-Dimensional Semiconductors-Based Ternary Circuits with Tunable Negative Transconductance Characteristics.

Multivalued logic (MVL) systems, in which data are processed with more than two logic values, are considered a viable solution for achieving superior processing efficiency with higher data density and less complicated system complexity without further scaling challenges. Such MVL systems have been conceptually realized by using negative transconductance (NTC) devices whose channels consist of van der Waals (vdW) heterojunctions of low-dimensional semiconductors; however, their circuit operations have not been quite ideal for driving multiple stages in real circuit applications due to reasons such as a reduced output swing and poorly defined logic states. Herein, we demonstrate ternary inverter circuits with near rail-to-rail swing and three distinct logic states by employing vdW p-n heterojunctions of single-walled carbon nanotubes (SWCNT) and MoS where the SWCNT layer completely covers the MoS layer.

3D-Printing of Freestanding Pure MXene Microarchitectures.

Since their discovery, titanium-based MXenes (TiCT) have attracted significant attention. Several studies have presented versatile, cost-effective, and scalable approaches for fabricating TiCT-based functional components. However, most previous studies only allowed the realization of 2D patterns or required diverse additives to produce 3D architectures.

Protective effects of methylnissolin and methylnissolin-3-O-β-d-glucopyranoside on TNF-α-induced inflammation in human dermal fibroblasts.

Methylnissolin-3-O-β-d-glucopyranoside (MNG) and methylnissolin (MN) are pterocarpan derivatives that are found in plants, such as Astragalus membranaceus. There are limited existing studies on the potential health benefits of MNG, and currently there is no evidence to suggest that MNG has any impact on skin-aging. Tumor necrosis factor-alpha (TNF-α) plays a significant role in skin aging by promoting chronic inflammation, damaging skin cells, and impairing the skin's natural repair mechanisms.

Fracture Dynamics in Silicon Anode Solid-State Batteries.

Solid-state batteries (SSBs) with silicon anodes could enable improved safety and energy density compared to lithium-ion batteries. However, degradation arising from the massive volumetric changes of silicon anodes during cycling is not well understood in solid-state systems. Here, we use X-ray computed microtomography to reveal micro- to macro-scale chemo-mechanical degradation processes of silicon anodes in SSBs.

Interobserver agreement analysis among renal pathologists in classification of lupus nephritis using a digital pathology image dataset: after a third evaluation.

Background: Lupus nephritis is well-known for low concordance in classification. Furthermore, there has been no agreement analysis among Korean renal pathologists regarding lupus nephritis. Inconsistent diagnosis leads to confusion and increases medical costs, as well as failure of appropriate therapeutic interventions.

Prioritization of monitoring compounds from SNTS identified organic micropollutants in contaminated groundwater using a machine learning optimized ToxPi model.

Advanced suspect and non-target screening (SNTS) approach can identify a large number of potential hazardous micropollutants in groundwater, underscoring the need for pinpointing priority pollutants among detected chemicals. This present study therefore demonstrates a novel multi-criteria decision making (MCDM) framework utilizing machine learning (ML) algorithms coupled with toxicological prioritization index tool (i.e.

Improving fecal bacteria estimation using machine learning and explainable AI in four major rivers, South Korea.

This study addresses the critical public health issue of fecal coliform contamination in the four major rivers in South Korea (Han, Nakdong, Geum, and Yeongsan rivers) by applying advanced machine learning (ML) algorithms combined with Explainable Artificial Intelligence to enhance both prediction accuracy and interpretability. Both traditional and machine learning models often face challenges in accurately estimating fecal coliform levels due to the complexity of environmental variables and data limitations. To address this limitation, we employed two tree-based models (i.

Classifying eutrophication spatio-temporal dynamics in river systems using deep learning technique.

Eutrophication is a major cause of water quality degradation in South Korea, owing to severe algal blooms. To manage eutrophication, the South Korean government provided the Trophic State Index (TSIko), which was revised according to Carlson's TSI. The TSIko levels were simulated using mechanistic water quality modeling.

Development and evaluation of an external second victim support program for nurses: a single-group feasibility study.

Background: Psychological support programs can help nurses who involved in patient safety incidents. However, most of these programs are operated internally by healthcare providers and utilize peer supporters, which may take a long time to implement. Therefore, there is a need to develop programs that can be used by healthcare providers in healthcare institutions that have difficulty implementing their own programs.

Serum syndecan1 has the potential to reflect activity at diagnosis and predict death during follow-up in patients with ANCA-associated vasculitis.

Objectives: This study investigated whether serum syndecan1 at diagnosis reflects activity at diagnosis and predicts poor outcomes during follow-up in patients with antineutrophil cytoplasmic antibody (ANCA)-associated vasculitis (AAV).

Methods: The study included 79 patients with AAV from the cohort of Korean patients diagnosed with AAV. AAV-specific indices, including the Birmingham vasculitis activity score (BVAS), five-factor score (FFS), 36-item short-form survey (SF-36) physical and mental component summary (PCS and MCS), and vasculitis damage index (VDI), were assessed.

Orchialgia secondary to polyorchidism: a case report.

Background: Polyorchidism, defined by the presence of more than two testes, is a rare congenital condition with an unclear etiology. It is hypothesized that the abnormal division of the genital ridge in the fetal embryonic period is responsible for the development of one or more supernumerary testicles. Due to the rarity of polyorchidism and its wide range of clinical presentations, the management of polyorchidism is unclear.

A Bioinformatics Investigation of Hub Genes Involved in Treg Migration and Its Synergistic Effects, Using Immune Checkpoint Inhibitors for Immunotherapies.

This study aimed to identify hub genes involved in regulatory T cell (Treg) function and migration, offering insights into potential therapeutic targets for cancer immunotherapy. We performed a comprehensive bioinformatics analysis using three gene expression microarray datasets from the GEO database. Differentially expressed genes (DEGs) were identified to pathway enrichment analysis to explore their functional roles and potential pathways.

Potential Inflammatory Markers Related to the Conversion to Alzheimer's Disease in Female Patients With Late-Life Depression.

Background: Inflammation has been postulated as a mediating factor in the development of Alzheimer's disease (AD) pathology. We investigated candidate inflammatory markers related to conversion to AD among patients with depression.

Methods: A longitudinal study was conducted with older women with depression who were at least 55 years of age, with a mean follow-up period of 5.

An Object-Centric Hierarchical Pose Estimation Method Using Semantic High-Definition Maps for General Autonomous Driving.

To achieve Level 4 and above autonomous driving, a robust and stable autonomous driving system is essential to adapt to various environmental changes. This paper aims to perform vehicle pose estimation, a crucial element in forming autonomous driving systems, more universally and robustly. The prevalent method for vehicle pose estimation in autonomous driving systems relies on Real-Time Kinematic (RTK) sensor data, ensuring accurate location acquisition.

Application of the 2022 ACR/EULAR criteria for Takayasu arteritis to previously diagnosed patients based on the 1990 ACR criteria.

Objectives: Recently, a joint group of the American College of Rheumatology (ACR) and the European Alliance of Associations for Rheumatology (EULAR) proposed new criteria for Takayasu arteritis (TAK) (the 2022 ACR/EULAR criteria). This study applied the 2022 ACR/EULAR criteria to patients with previously diagnosed TAK based on the 1990 ACR criteria and investigated the concordance rate between the two criteria according to the four imaging modalities.

Methods: This study reviewed the medical records of 179 patients who met the 1990 ACR criteria for TAK.

Visualization of Microcapillary Tips Using Waveguided Light.

The microcapillary, a glass tube with a nano/micrometer scale aperture, is used for manipulating small objects across diverse disciplines. A primary concern in using the microcapillary involves tip breakage upon contact. Here, we report a method for visualizing the microcapillary tip, enabling precise and instant determination of its contact with other objects.

Diagnostic Assessment of Endoscopic Ultrasonography-Fine Needle Aspiration Cytology in the Pancreas: A Comparison between Liquid-Based Preparation and Conventional Smear.

: This study aimed to elucidate the cytologic characteristics and diagnostic usefulness of endoscopic ultrasonography-fine needle aspiration cytology (EUS-FNAC) by comparing it with liquid-based preparation (LBP) and conventional smear (CS) in pancreas. : The diagnostic categories (I through VII) were classified according to the World Health Organization Reporting System for Pancreaticobiliary Cytopathology. Ten cytologic features, including nuclear and additional features, were evaluated in 53 cases subjected to EUS-FNAC.