High-Performance InP Quantum-Dot Light-Emitting Diodes with a NiO Nanoparticle-Embedded Hybrid Emissive Layer.

Quantum-dot (QD) light-emitting diodes (QLEDs) are garnering significant attention owing to their superb optoelectrical properties, but the overinjection of electrons compared to holes into the emissive layer (EML) is still a critical obstacle to be resolved. Current approaches, such as inserting a charge-balancing interlayer and mixing p-type organic additives into the EML, face issues of process complexity and poor miscibility. In this work, we demonstrate efficient InP QLEDs by simply embedding NiO nanoparticles (NPs) into the EML which forms a homogeneous QD-metal oxide hybrid EML.

Telehealth Occupation-Based Coaching for Rural Parents of Children With Type 1 Diabetes: A Randomized Controlled Trial.

Importance: Because of the complexity of their child's diabetes management, parents often assume all care duties and report needing additional assistance to resume family routines.

Objective: To examine the preliminary efficacy of a telehealth occupation-based coaching intervention for rural parents of a child living with Type 1 diabetes (T1D) to improve child glycemic levels, family quality of life, and parental self-efficacy.

Design: Double-blinded, two-arm, pilot randomized controlled trial.

Optimization of meropenem continuous infusion based on Monte Carlo simulation integrating with degradation study.

Objective: Meropenem degradation poses a challenge to continuous infusion (CI) implementation. However, data about the impact of degradation on the probability of target attainment (PTA) of meropenem has been limited. This study evaluated the stability of meropenem brands and the consequence of in-bottle degradation on PTA in different environmental scenarios.

Achieving Precise Control Over the Molecular Periphery of Dibenzoixenes Through Modular Synthesis.

Nanographenes and polycyclic aromatic hydrocarbons, both finite forms of graphene, are promising organic semiconducting materials because their optoelectronic and magnetic properties can be modulated through precise control of their molecular peripheries. Several atomically precise edge structures have been prepared by bottom-up synthesis; however, no systematic elucidation of these edge topologies at the molecular level has been reported. Herein, we describe rationally designed modular syntheses of isomeric dibenzoixenes with diverse molecular peripheries, including cove, zigzag, bay, fjord, and gulf structured.

Clinically-Driven Rapidly Developed Nanoparticle Corona for Label-Free Cerebrospinal Fluid Leakage Detection.

Rapid diagnosis of cerebrospinal fluid (CSF) leaks is critical as endoscopic endonasal skull base surgery gains global prominence. Current clinical methods such as endoscopic examination with and without intrathecal injection of fluorescent dye are invasive and rely on subjective judgment by physicians, highlighting the clinical need for label-free point-of-care (POC). However, a viable solution remains undeveloped due to the molecular complexity of CSF rhinorrhea mixed with nasal discharge and the scarcity of specific biomarkers, delaying sensor development.

P-Type Vertical FETs Realized by Using Fermi-Level Pinning-Free 2D Metallic Electrodes.

In two-dimensional (2D) nanomaterial electronics, vertical field-effect transistors (VFETs), where charges flow perpendicular to the channel materials, hold promise due to the ease of forming ultrashort channel lengths by utilizing the thinness of 2D materials. However, the poor performance of p-type VFET arises from the lack of a gate-field-penetrating electrode with suitable work functions, which is essential for VFET operation. This motivated us to replace graphene (work function of ∼4.

Influence of prestroke glycemic status on outcomes by age in patients with acute ischemic stroke and diabetes mellitus.

Background: This study aimed to explore the association between admission HbA1c and the risk of 1-year vascular outcomes stratified by age group in patients with acute ischemic stroke (AIS) and diabetes mellitus (DM).

Methods: This study analyzed prospective multicenter data from patients with AIS and DM. Admission HbA1C were categorized as:≤6.

The prebiotic potential of dietary onion extracts: shaping gut microbial structures and promoting beneficial metabolites.

Onions are well-known vegetables that offer various health benefits. This study explores the impact of onion extracts on gut microbiome using an fecal incubation model and metabolome analysis. Fecal samples were collected from 19 healthy donors and incubated in the presence or absence of onion extracts for 24 h.

Durlobactam in combination with β-lactams to combat .

() presents significant clinical challenges. This study evaluated the synergistic effects of a β-lactam and β-lactamase inhibitor combination against and explored the underlying mechanisms. Synergy was assessed through MIC tests and time-kill studies, and binding affinities of nine β-lactams and BLIs to eight target receptors (L,D-transpeptidases [LDT] 1-5, D,D-carboxypeptidase, penicillin-binding protein [PBP] B, and PBP-lipo) were assessed using mass spectrometry and kinetic studies.

Neoantigen-Displaying Protein Nanoparticles as a Therapeutic Cancer Vaccine Against Melanoma.

Although interest in peptide-based cancer vaccines has surged in the era of personalized immunotherapy enabled by the discovery of neoantigens, the effective generation of neoantigen-specific T cell responses has been limited. Here, a Brucella BP26 protein-based nanoparticle displaying the MHC class II-restricted melanoma neoantigen, M30, is reported for use as a therapeutic cancer vaccine. Genetic engineering of 10 tandem repeats of the M30 neoepitope to a BP26 monomer results in the self-assembled, neoantigen-displaying protein nanoparticles (BP26-M30 NPs).

GM-CSF engages multiple signaling pathways to enhance pro-inflammatory cytokine responses in human monocytes during infection.

The proinflammatory cytokine granulocyte-macrophage colony-stimulating factor (GM-CSF) is required for host defense against a wide range of pathogens. We previously found that GM-CSF enhances inflammatory cytokine production in murine monocytes and is required for control of the intracellular bacterial pathogen . It is unclear whether GM-CSF similarly augments cytokine production in human monocytes during bacterial infection.

High-Complexity Barcoded Rabies Virus for Scalable Circuit Mapping Using Single-Cell and Single-Nucleus Sequencing.

Single cell genomics has revolutionized our understanding of neuronal cell types. However, scalable technologies for probing single-cell connectivity are lacking, and we are just beginning to understand how molecularly defined cell types are organized into functional circuits. Here, we describe a protocol to generate high-complexity barcoded rabies virus (RV) for scalable circuit mapping from tens of thousands of individual starter cells in parallel.

Targeted dual-receptor phage cocktail against : insights into phage-host interactions and resistance mechanisms.

Introduction: is a notorious foodborne pathogen, frequently contaminating powdered infant formula and causing life-threatening diseases in infants. The escalating emergence of antibiotics-resistant mutants has led to increased interest in using bacteriophage as an alternative antimicrobial agent.

Methods: Two phages, CR8 and S13, were isolated from feces and soil samples and their morphology, physiology, and genomics were characterized.

Iron as a Sulfidation-Resistant Current Collector for Negative Electrode in Sulfide-Based All-Solid-Batteries.

The demand for all-solid-state batteries (ASSBs) featuring credible LiPSCl argyrodite (LPSCl) electrolytes is increasing, driving interest in exploring suitable current collectors for ASSBs. Copper (Cu), used as a current collector in traditional lithium-ion batteries, exhibits significant instability in LPSCl-ASSBs. In this study, the effectiveness of iron (Fe) is systematically investigated as an alternative current collector in LPSCl-ASSBs and compare its performance to that of Cu.

Machine Learning Strategy for Optimizing Multiple Electrical Characteristics in Dual-Layer Oxide Thin Film Transistors.

A machine learning (ML) strategy is suggested to optimize dual-layer oxide thin film transistor (TFTs) performance. In this study, Bayesian optimization (BO), an algorithm recognized for its efficiency in optimizing material design, is applied to guide the design of a channel layer composed of IZO and IGZO. The sputtering fabrication process, which has attracted attention as an oxide semiconductor channel layer deposition method, is fine-tuned using ML to enhance multiple electrical characteristics of transistors: field-effect mobility, threshold voltage, and subthreshold swing.

Spatiotemporal Gait Parameters During Turning and Imbalance in Parkinson's Disease: Video-Based Analysis from a Single Camera.

Objectives: This study aims to objectively evaluate turning gait parameters in Parkinson disease (PD) patients using 2D-RGB video-based analysis and explore their relationships with imbalance.

Methods: We prospectively enrolled PD patients for clinical assessments, balance analysis and gait with 180' turning. Spatiotemporal gait parameters during turning were derived based on video-based analysis and correlated with modified Hoehn and Yahr (mHY) stages and center of pressure (COP) oscillations.

Service Users' Participation in Mental Health Nursing Education: Quasi-Experimental Design With Blended Learning Model.

Nursing students' negative perceptions of and reduced interest in individuals experiencing mental health challenges could lead to problems such as deteriorating quality of mental health nursing and lack of competent, qualified mental health nurses. Promoting changes and developments in mental health nursing education for greater effectiveness is pivotal. This study aimed to develop, introduce and validate a blended learning service user involvement programme for mental health nursing education-the first of its kind in South Korea.

AI model using CT-based imaging biomarkers to predict hepatocellular carcinoma in patients with chronic hepatitis B.

Background & Aims: Various hepatocellular carcinoma (HCC) prediction models have been proposed for patients with chronic hepatitis B (CHB) using clinical variables. We aimed to develop an artificial intelligence (AI)-based HCC prediction model by incorporating imaging biomarkers derived from abdominal computed tomography (CT) images along with clinical variables.

Methods: An AI prediction model employing a gradient-boosting machine algorithm was developed utilizing imaging biomarkers extracted by DeepFore, a deep learning-based CT auto-segmentation software.

Blood-brain barrier breakdown in brain ischemia: Insights from MRI perfusion imaging.

Brain ischemia is a major cause of neurological dysfunction and mortality worldwide. It occurs not only acutely, such as in acute ischemic stroke (AIS), but also in chronic conditions like cerebral small vessel disease (cSVD). Any other conditions resulting in brain hypoperfusion can also lead to ischemia.

Bystander Cardiopulmonary Resuscitation and Outcomes of Mass Cardiac Arrests Caused by A Crowd Crush.

Introduction: A crowd crush can lead to respiratory arrest and result in multiple mass cardiac arrests (MCAs), which are often classified as Black Tag in disaster triage. Recently, many laypersons have been commonly trained in compression-only cardiopulmonary resuscitation (CPR) without ventilation support in various communities. This study aims to describe the characteristics of bystander CPR administered and the outcomes of MCAs during the Itaewon crowd crush incident.

Effects of Smoking Behavior Change on Diabetes Incidence after Cancer Development: A Nationwide Cohort Study.

Aim: Cigarette smoking and diabetes mellitus (DM) increase risks of cardiovascular diseases and all-cause mortality in cancer survivors. An increased risk of DM incidence in cancer survivors has been observed and smoking is an important modifiable risk factor for DM development in the general population. Thus, we investigated the association between smoking behavior change after cancer diagnosis and DM incidence in cancer survivors.

Rapid Visual Detection of Red Sea Bream Iridovirus Using a Novel Cross-Priming Amplification-Based Lateral Flow Assay.

Red sea bream iridovirus (RSIV) occurs mainly at high water temperatures and infects more than 30 different species of fish. In Asia, infected fish cause mass mortality every year. Molecular diagnostics is a technology that efficiently detects and identifies a wide range of fish pathogens through rapid and sensitive analysis of their genetic material.