Multi-omics informed mathematical model for meropenem and tobramycin against hypermutable Pseudomonas aeruginosa.

Hypermutable P. aeruginosa isolates frequently display resistance emergence during treatment. Mechanisms of such resistance emergence have not been explored using dynamic hollow-fiber studies and multi-omics-informed mathematical modeling.

Enhancing generalization of medical image segmentation via game theory-based domain selection.

Medical image segmentation models often fail to generalize well to new datasets due to substantial variability in imaging conditions, anatomical differences, and patient demographics. Conventional domain generalization (DG) methods focus on learning domain-agnostic features but often overlook the importance of maintaining performance balance across different domains, leading to suboptimal results. To address these issues, we propose a novel approach using game theory to model the training process as a zero-sum game, aiming for a Nash equilibrium to enhance adaptability and robustness against domain shifts.

Factors associated with early onset hypocalcemia: A retrospective cohort study.

Background: Early onset hypocalcemia, occurring within 3 days of birth, is prevalent among preterm infants. A central line is required to deliver calcium (Ca). The prediction of hypocalcemia is therefore clinically important when the requirement for initial intravascular calcium administration is anticipated.

Characteristics and direct causes of death in severely ill patients admitted to a neurology department.

Introduction: The study aimed to analyze the characteristics of patients admitted to the neurology department of a tertiary hospital who subsequently died, focusing on those with high disease severity.

Materials And Methods: We conducted a retrospective cohort study of patients who died among those admitted to the neurology department of a regional tertiary hospital from 2013 to 2021. Clinical, radiological, and laboratory results of the included patients were collected, and their primary diagnoses, duration from time of admission to death, and direct causes of death were analyzed.

Learning generalizable visual representation via adaptive spectral random convolution for medical image segmentation.

Medical image segmentation models often fail to generalize well when applied to new datasets, hindering their usage in clinical practice. Existing random-convolution-based domain generalization approaches, which involve randomizing the convolutional kernel weights in the initial layers of CNN models, have shown promise in improving model generalizability. Nevertheless, the indiscriminate introduction of high-frequency noise during early feature extraction may pollute the critical fine details and degrade the model's performance on new datasets.

Optimizing the Pore Structure of Lotus-Type Porous Copper Fabricated by Continuous Casting.

Lotus-type porous copper was fabricated using a continuous casting method in pressurized hydrogen and nitrogen gas atmospheres. This study evaluates the effects of process parameters, such as the hydrogen ratio, total pressure, and transference velocity, on the resulting pore structure. A continuous casting process was developed to facilitate the mass production of lotus-type porous copper.

Enhancing Laser-Induced Graphene via Integration of Gold Nanoparticles and Titanium Dioxide for Sensing and Robotics Applications.

Laser-induced graphene (LIG) is a promising material for various applications due to its unique properties and facile fabrication. However, the electrochemical performance of LIG is significantly lower than that of pure graphene, limiting its practical use. Theoretically, integrating other conductive materials with LIG can enhance its performance.

Korean Hospital Nurses' Experiences with COVID-19: A Meta-Synthesis of Qualitative Findings.

This study aims to provide a meta-synthesis of qualitative studies examining the perceptions and experiences of nurses who cared for patients in dedicated COVID-19 hospitals in South Korea. We searched key health databases (RISS, KISS, KMbase, NDSL, KoreaMed, DBpia, PubMed, CINAHL, and Cochrane) from September to November 2023. We reviewed and analyzed articles using a thematic synthesis approach.

Effectiveness of calcipotriol/betamethasone dipropionate aerosol foam in patients with small versus large plaque psoriasis in routine practice in South Korea.

Small plaque psoriasis is the typical form of chronic plaque psoriasis affecting adults in South Korea. The effectiveness of calcipotriol/betamethasone dipropionate (Cal/BD) aerosol foam for large and small psoriasis plaques has not previously been examined. We performed a post hoc analysis of a recent, 4-week observational study of Cal/BD aerosol foam use in routine clinical practice in South Korea.

Clinical approaches for poststroke seizure: a review.

Poststroke seizure is a potential complication of stroke, which is the most frequent acute symptomatic seizure in adults. Patients with stroke may present with an abnormal or aggressive behavior accompanied by altered mental status and symptoms, such as hemiparesis, dysarthria, and sensory deficits. Although stroke manifestations that mimic seizures are rare, diagnosing poststroke seizures can be challenging when accompanied with negative postictal symptoms.

A Comprehensive Review of the Acne Grading Scale in 2023.

Acne is a common skin inflammatory condition that can significantly affect the patient's quality of life. Therefore, accurate assessment scales are very important for treatment and management of acne vulgaris. This review article issues a comprehensive review of various acne severity assessment scales.

Critical period of oxygen supplementation and invasive ventilation: implications for severe retinopathy of prematurity.

Background: Several studies have identified graded oxygen saturation targets to prevent retinopathy of prematurity (ROP), a serious complication in preterm infants. We aimed to analyze the critical period of oxygen supplementation and/or invasive ventilation associated with severe ROP.

Methods: This retrospective case-control study included neonates with a gestational age (GA) < 29 weeks.

Prediction of Soluble-Solid Content in Citrus Fruit Using Visible-Near-Infrared Hyperspectral Imaging Based on Effective-Wavelength Selection Algorithm.

Citrus fruits were sorted based on external qualities, such as size, weight, and color, and internal qualities, such as soluble solid content (SSC), acidity, and firmness. Visible and near-infrared (VNIR) hyperspectral imaging techniques were used as rapid and nondestructive techniques for determining the internal quality of fruits. The applicability of the VNIR hyperspectral imaging technique for predicting the SSC in citrus fruits was evaluated in this study.

3D-DGGAN: A Data-Guided Generative Adversarial Network for High Fidelity in Medical Image Generation.

Three-dimensional images are frequently used in medical imaging research for classification, segmentation, and detection. However, the limited availability of 3D images hinders research progress due to network training difficulties. Generative methods have been proposed to create medical images using AI techniques.

Real-world safety and effectiveness of secukinumab in adult patients with moderate to severe plaque psoriasis: results from postmarketing surveillance in Korea.

Background: Secukinumab, a fully human monoclonal antibody, was approved in Korea for the treatment of moderate to severe psoriasis in September 2015.

Objectives: To assess the safety and effectiveness of secukinumab in patients with moderate to severe psoriasis in Korea.

Design: Multicenter, real-world, noninterventional study conducted over 6 years.

Volumetric Imitation Generative Adversarial Networks for Anatomical Human Body Modeling.

Volumetric representation is a technique used to express 3D objects in various fields, such as medical applications. On the other hand, tomography images for reconstructing volumetric data have limited utilization because they contain personal information. Existing GAN-based medical image generation techniques can produce virtual tomographic images for volume reconstruction while preserving the patient's privacy.

Generalizable Polyp Segmentation via Randomized Global Illumination Augmentation.

Accurately segmenting polyps from colonoscopy images is essential for diagnosing colorectal cancer. Despite the tremendous success of the deep convolutional neural networks in automatic polyp segmentation, it suffers from domain shift issues, where the trained model yields performance deterioration on unseen test datasets. This paper proposes an illumination enhancement-based domain generalization approach to improve the generalization capability of the model on unseen test datasets and alleviate this issue.

Comprehensive stability analysis of 13 β-lactams and β-lactamase inhibitors in media, and novel supplement dosing strategy to mitigate thermal drug degradation.

Non-clinical antibiotic development relies on susceptibility and infection model studies. Validating the achievement of the targeted drug concentrations is essential to avoid under-estimation of drug effects and over-estimation of resistance emergence. While certain β-lactams (e.