Clinical Judgment Model-Based Critical Reflection Program for Newly Graduated Nurses: A Nonrandomized Controlled Trial.

This study evaluated the effects of a critical reflection program utilizing the Lasater Clinical Judgment Rubric (LCJR) reflective questions based on the Clinical Judgment Model (CJM) on newly graduated nurses' clinical judgment skills. A total of 153 newly graduated nurses scheduled for on-site training in a ward nursing unit were divided into a control group (receiving only the usual on-site training with preceptorship) and an experimental group (receiving the developed program with the same on-site training with preceptorship as the control group). Data were collected at baseline, 6 weeks, and 3 months after the intervention.

Hierarchical Selenium-Doped Nickel-Cobalt Hybrids on Carbon Paper for the Overall Water-Splitting Electrocatalytic System.

Designing and constructing hierarchically structured materials with heterogeneous compositions is the key to developing an effective catalyst for overall water-splitting applications. Herein, we report the fabrication of hollow-structured selenium-doped nickel-cobalt hybrids on carbon paper as a self-supported electrode (denoted as Se-Ni|Co/CP, where Ni|Co hybrids consist of nickel-cobalt alloy-incorporated nickel-cobalt oxide). The procedure involves direct growth of zeolitic imidazolate framework-67 (ZIF-67) on bimetal-based nickel-cobalt hydroxide (NiCoOH) electrodeposited on CP, followed by selenous etching and pyrolysis to obtain the final Se-Ni|Co/CP electrocatalytic system.

Green Synthesis of ZnO Nanoparticles Using Ficus benghalensis for Visible Light-Driven Photocatalytic Degradation of Crystal Violet and Antibacterial and Antibiofilm Activities.

Crystal Violet (CV) is a vibrant and harmful dye known for its toxicity to aquatic life and potential carcinogenic effects on humans. This study explores the removal of CV through photocatalysis driven by visible light, as well as examining the antibacterial and antibiofilm characteristics of zinc oxide nanoparticles (ZnO NPs) synthesized from the aerial roots of Ficus benghalensis. Various characterization techniques were employed to confirm the optical properties, crystal lattices, and morphology of ZnO NPs.

Modeling of Composition and Channel Length-Dependent Transient Characteristics in Short-Channel IGZO Field-Effect Transistors.

In this study, we analyze the characteristics of fast transient drain current () in IGZO-based field-effect transistors (FETs) with different composition ratios (device O: ratio of 1:1:1 for In, Ga, Zn, device G: ratio of 0.307:0.39:0.

Multi-omic insights into molecular mechanism and therapeutic targets in spinocerebellar ataxia type 7.

Recent advances in molecular science have significantly enlightened our mechanistic understanding of spinocerebellar ataxia type 7. To further close remaining gaps, we performed a multi-omics analysis using SCA7 mice. Entire brain tissue samples were collected from 12-week-old mice, and RNA sequencing, methylation analysis, and proteomic analysis were performed.

Effectiveness and Safety of Dose-Specific DOACs in Patients With Atrial Fibrillation: A Systematic Review and Network Meta-Analysis.

Dose adjustments of direct-acting oral anticoagulants (DOACs) for atrial fibrillation are based on pivotal clinical trials assessing their effectiveness and safety in controlled settings. However, the appropriateness of these dosing strategies in real-world practice is uncertain. The purpose of this study is to compare the effectiveness and safety of dose-specific DOACs with those of warfarin.

High-density mapping in catheter ablation for atrial fibrillation in Asia Pacific region: An observational study.

Background: Few clinical studies of atrial fibrillation (AF) have focused on Asian patients; data are lacking on current mapping and ablation strategies in the Asia Pacific region (APAC).

Objective: The HD Mapping Observational Study (NCT04022954) was designed to characterize electroanatomic mapping (EAM) with market-released high-density mapping (HDM) catheters in subjects with AF in APAC.

Methods: Subjects undergoing HDM and indicated for radiofrequency ablation (RFA) to treat AF were prospectively enrolled in APAC.

Development and Clinical Validation of Model-Informed Precision Dosing for Everolimus in Liver Transplant Recipients.

Everolimus presents significant dosing challenges due to between- and within-patient pharmacokinetic variabilities. This study aimed to develop and validate a model-informed precision dosing strategy for everolimus in liver transplant recipients. The dosing strategy was initially developed using retrospective data, employing nonlinear mixed-effects modeling.

Transferrin-binding domain inserted-adenovirus hexon engineering enables systemic immune evasion and intratumoral T-cell activation.

Adenovirus-based therapies have encountered significant challenges due to host immunity, particularly from pre-existing antibodies. Many trials have struggled to evade antibody response; however, the efficiency of these efforts was limited by the diversity of antibody Fv-region recognizing multiple amino acid sequences. In this study, we developed an antibody-evading adenovirus vector by encoding a plasma-rich protein transferrin-binding domain.

Antimicrobial activity of a new class of synthetic retinoid antibiotics and comparator agents against ocular staphylococci.

Objectives: Antimicrobial resistance is global pandemic that poses a major threat to vision health as ocular pathogens, especially staphylococcal species, are becoming increasingly resistant to first-line therapies. Here we evaluated the antimicrobial activity of a new class of synthetic retinoids in comparison to currently used antibiotics against clinically relevant ocular staphylococcal isolates.

Methods: Antimicrobial susceptibility testing was performed by broth microdilution for 3 novel synthetic retinoids (CD1530, CD437, and a CD437 analogue) and 7 comparator antibiotics, against a collection of 216 clinical isolates.

Impact of information publicity on Korean residents' E-waste recycling intentions: Applying the norm activation model and theory of planned behavior.

The escalating annual growth rate of electronic waste, commonly referred to as "e-waste," is currently between 3 % and 5 %, indicating a rapidly increasing solid waste stream. In 2019, South Korea generated 15.8 kg of e-waste per capita.

Comparison of the Effect of and Compliance With Cyclosporine 0.1% After Various Pretreatments in Dry Eye Disease.

We sought to compare the effect of cyclosporine 0.1% after various pretreatments in patients with dry eye disease. Two hundred seventy-four eyes of 137 patients diagnosed with dry eye disease were retrospectively enrolled.

Selective fluorescent probe for Tl ions through metal-induced hydrolysis and its application for direct assay of artificial urine.

In this research, we report a simple fluorescent probe designed to detect thallium(iii) ions (Tl) in artificial urine samples. The Tl signaling probe (TP-1) was readily prepared from 2-acetyl-6-methoxynaphthalene and hydrazine. In a pH 4.

Light-sheet microscopy enabled by a miniaturized plane illuminator.

We present a implementation method of light-sheet microscopy utilizing a highly miniaturized device that produces light-sheet illumination while immersed in the sample container. Our miniaturized plane illuminator (MPI) internally equips a two-axis beam-scanning mechanism based on a magnetostatically driven optical fiber cantilever. A light sheet is produced by fast scanning of the focused beam in an axis while the illumination plane can move in the other axis for positioning and 3D imaging.

Parents' perceptions of risk and protective factors for problematic sexual behaviour in young Korean individuals with developmental disabilities.

Background: Limited data exist on problematic sexual behaviour (PSB) in youth with developmental disabilities in South Korea.

Method: Sixty-one parents of children with intellectual disabilities or autism spectrum disorder (aged 13-30) reported children's PSB and emotional, behavioural, cognitive, and interpersonal factors. The frequency of PSB in children with developmental disabilities was verified, and various factors' effects on PSB were examined through multiple linear regression analysis.

Sexual behaviours of individuals with developmental disabilities in South Korea: A qualitative study exploring the views and experiences of professionals.

Background: Despite the considerable number of young adults with developmental disabilities experiencing sexual desire and exhibiting sexual behaviours as part of their natural biological growth and development, there is a lack of research on effective intervention. This study aimed to explore the views and experiences of professionals on the sexual behaviours of individuals with developmental disabilities.

Methods: Semi-structured interviews with eight professionals specialising in developmental disabilities and/or inappropriate sexual behaviours were conducted, and their responses were analysed using a qualitative method.

Computational Insights into "Lone Pair-Lone Pair Interaction-Controlled" Isomerization in the Asymmetric Total Syntheses of (+)-3-()-Laureatin and (+)-3-()-Isolaureatin.

Described herein is our computational study to rationalize the stereoselective epimerization of α,α'--disubstituted oxolane and oxetane ketones and to the corresponding α,α'- ketones and reported in our previous total syntheses of (+)-3-()-isolaureatin () and (+)-3-()-laureatin (). Density functional theory (DFT) calculations using appropriately truncated models revealed that the α,α'- ketones are more stable than the α,α'- ketones, in very good agreement with experimental results. The computational results showed that the isomer with a longer interatomic distance between the two ring oxygen atoms was lower in energy, which suggested the presence of repulsive interactions between those oxygen atoms.

Predicting Chlorophyll- Concentrations in the World's Largest Lakes Using Kolmogorov-Arnold Networks.

Accurate prediction of chlorophyll- (Chl-) concentrations, a key indicator of eutrophication, is essential for the sustainable management of lake ecosystems. This study evaluated the performance of Kolmogorov-Arnold Networks (KANs) along with three neural network models (MLP-NN, LSTM, and GRU) and three traditional machine learning tools (RF, SVR, and GPR) for predicting time-series Chl- concentrations in large lakes. Monthly remote-sensed Chl- data derived from Aqua-MODIS spanning September 2002 to April 2024 were used.

The impact of body mass index on mortality according to age in hemodialysis patients: an analysis of the Korean Renal Data System.

The impact of age on the relationship between body mass index (BMI) and all-cause mortality in hemodialysis (HD) patients is not clearly understood. We analyzed the association between BMI and all-cause mortality, stratified by age, in patients undergoing HD using data from the Korean Renal Data System (KORDS). We analyzed 66,129 HD patients from the 2023 KORDS database, with data collected between 2001 and 2022.

Safety of direct oral anticoagulants in hemodialysis patients with venous thromboembolism: an analysis using the Korean National Health Insurance Service database.

Background: Limited data exist regarding the safety of direct oral anticoagulants in hemodialysis patients with venous thromboembolic disease. This study aims to investigate the safety of direct oral anticoagulants in hemodialysis patients using national data.

Methods: The National Health Insurance Service database was retrospectively queried to identify chronic kidney disease patients who took direct oral anticoagulants for venous thromboembolism from 2008 to 2019.

Validation of an acute kidney injury prediction model as a clinical decision support system.

Background: Acute kidney injury (AKI) is a critical clinical condition that requires immediate intervention. We developed an artificial intelligence (AI) model called PRIME Solution to predict AKI and evaluated its ability to enhance clinicians' predictions.

Methods: The PRIME Solution was developed using convolutional neural networks with residual blocks on 183,221 inpatient admissions from a tertiary hospital (2013-2017) and externally validated with 4,501 admissions at another tertiary hospital (2020-2021).

Constipation and risk of death and cardiovascular events in patients on hemodialysis.

Background: Constipation is a common gastrointestinal disorder and is often accompanied by alteration in the gut microbiota. Recently, several studies have disclosed its association with an increased risk of cardiovascular disease and mortality in the general population. Despite the high prevalence of constipation, data on the clinical impact of constipation in patients with chronic kidney disease are limited.

A novel machine learning model for screening the risk of obstructive sleep apnea using craniofacial photography with questionnaires.

Study Objectives: Undiagnosed or untreated moderate to severe obstructive sleep apnea (OSA) increases cardiovascular risks and mortality. Early and efficient detection is critical, given its high prevalence. We aimed to develop a practical and efficient approach for obstructive sleep apnea screening, using simple facial photography and sleep questionnaires.