Unraveling the three-dimensional genome structure using machine learning.

The study of chromatin interactions has advanced considerably with technologies such as high-throughput chromosome conformation capture (Hi-C) sequencing, providing a genome-wide view of physical interactions within the nucleus. These techniques have revealed the existence of hierarchical chromatin structures such as compartments, topologically associating domains (TADs), and chromatin loops, which are crucial in genome organization and regulation. However, identifying and analyzing these structural features require advanced computational methods.

The effect of 12-week combined balance and plyometric training on dynamic balance and lower extremity injury risk in college dancers.

Background: Dancers face significant physical demands and are at high risk for lower extremity injuries due to the complexity and intensity of their movements, which require strong dynamic balance. Improving dynamic balance through training can potentially enhance performance and reduce injury risk.

Objective: This study aimed to investigate the effects of a 12-week combined balance and plyometric training program (BP) compared to plyometric training alone (PL) on dynamic balance and lower extremity injury risk among college dancers.

Association between social engagement frequency and the risk of depression in South Korea, the US, and the UK: Multinational evidence from longitudinal studies of aging.

Background: While greater social engagement is often associated with a reduced risk of depression, longitudinal studies that account for diverse social structures and cultural contexts among middle-aged or older are limited.

Methods: This study utilized cohort data from the Korean Longitudinal Study of Ageing (n=11,174; 2006-2020) in South Korea (KR), the Health and Retirement Study (n=42,405; 2004-2019) in the US, and the English Longitudinal Study of Ageing (n=28,624; 2002-2019) in the UK, including a total of 29,378 individuals from the population aged ≥45 years. Social engagement frequency was categorized into infrequent, intermediate, and frequent, with changes classified as unchanged, increased, or decreased.

A robust scale-down model development and process characterization for monoclonal antibody biomanufacturing using multivariate data analysis.

Quality by Design (QbD) principles are extensively applied in biopharmaceutical manufacturing processes to ensure the consistent production of high-quality biotherapeutic products through achieving a deeper understanding of critical process parameters (CPPs), critical quality attributes (CQAs), and their interrelationships as well as establishing appropriate process control strategies. To do so, herein, we involve utilizing advanced multivariate data analysis (MVDA) in the context of scale-down model (SDM) development and validation as an ingenious approach for enhancing process efficiency and achieving greater regulatory compliance in the biomanufacturing of biologics. First, MVDA was applied to develop and evaluate several SDMs under various production conditions, including changes in scale-dependent parameters.

National trends in asthma prevalence among adolescents in South Korea, 2007-2023: a national representative serial study.

Background: Although previous studies have analyzed trends in asthma prevalence among adolescents before and during the COVID-19 pandemic, research specifically investigating asthma prevalence after the pandemic is lacking. Therefore, this study aims to analyze the long-term trends and the impact of the COVID-19 pandemic on the prevalence of asthma among Korean adolescents.

Methods: Data were collected from a nationwide representative study (Korean Youth Risk Behavior Web-based Survey), conducted among adolescents aged 12 to 18 years from 2007 to 2023.

Factors Related to Self-Rated Health Among Community-Dwelling Older Adults.

Background/objectives: This study explored factors influencing self-rated health (SRH) among community-dwelling older adults to better support its use in health screening and provide an alternative for older adults who may have difficulty working with lengthy assessment scales.

Methods: The participants were 8379 individuals aged 65 years or older from the 2020 Elderly Survey. Data were collected in South Korea between September and November 2020.

Prediction model for type 2 diabetes mellitus and its association with mortality using machine learning in three independent cohorts from South Korea, Japan, and the UK: a model development and validation study.

Background: Type 2 diabetes mellitus (T2DM) is a significant global public health concern that has steadily increased over the past few decades. Thus, this study aimed to predict the incidence of T2DM within 5 years and the risk of mortality following the onset of T2DM. Data from three independent cohorts worldwide were used.

Characterization and design of dipeptide media formulation for scalable therapeutic production.

Process intensification and simplification in biopharmaceutical manufacturing have driven the exploration of advanced feeding strategies to improve culture performance and process consistency. Conventional media design strategies, however, are often constrained by the stability and solubility challenges of amino acids, particularly in large-scale applications. As a result, dipeptides have emerged as promising alternatives.

External validation of an artificial intelligence model using clinical variables, including ICD-10 codes, for predicting in-hospital mortality among trauma patients: a multicenter retrospective cohort study.

Artificial intelligence (AI) is being increasingly applied in healthcare to improve patient care and clinical outcomes. We previously developed an AI model using ICD-10 (International Classification of Diseases, Tenth Revision) codes with other clinical variables to predict in-hospital mortality among trauma patients from a nationwide database. This study aimed to externally validate the performance of the AI model.

Differences in the Physical Properties of Plant-Based Meat Alternatives Containing Root Vegetables.

We investigated the textural characteristics of plant-based meat alternatives based on root vegetables, including , , , and . The samples with root vegetables had significantly higher moisture contents than those without because of the water retention capacity of dietary fiber contained in root vegetables. Heating affects the structures and interactions of the plant-based proteins and other ingredients.

Precise weight tuning in quantum dot-based resistive-switching memory for neuromorphic systems.

In this study, nonvolatile bipolar resistive switching and synaptic emulation behaviors are performed in an InGaP quantum dots (QDs)/HfO-based memristor device. First, the physical and chemical properties of InGaP QDs are investigated by high-resolution transmission electron microscopy and spectrophotometric analysis. Through comparative experiments, it is proven that the HfO layer improves the variations in resistive switching characteristics.

Worldwide burden of antidiabetic drug-induced sarcopenia: An international pharmacovigilance study.

Background: Sarcopenia is a condition that poses a significant risk in the older population, with diabetes identified as a risk factor. Recent evidence suggests that GLP-1 RA, commonly used as antidiabetic treatments, may potentially induce sarcopenia. This study aimed to investigate the association between sarcopenia and various antidiabetic drugs, including GLP-1 RAs.

National trends in type 2 diabetes mellitus stratified by central adiposity using waist-to-height ratio in South Korea, 2005-2022.

Studies investigating the association between type 2 diabetes mellitus and central adiposity are lacking. Therefore, this study aimed to investigate trends in type 2 diabetes mellitus stratified by central adiposity using waist-to-height ratio (WHtR). Trends in type 2 diabetes mellitus were examined by central adiposity, using WHtR, with data from the Korea National Health and Nutrition Examination Survey (2005-2022).

Quantum Dots for Resistive Switching Memory and Artificial Synapse.

Memristor devices for resistive-switching memory and artificial synapses have emerged as promising solutions for overcoming the technological challenges associated with the von Neumann bottleneck. Recently, due to their unique optoelectronic properties, solution processability, fast switching speeds, and low operating voltages, quantum dots (QDs) have drawn substantial research attention as candidate materials for memristors and artificial synapses. This review covers recent advancements in QD-based resistive random-access memory (RRAM) for resistive memory devices and artificial synapses.

Oxygen-Plasma-Treated Al/TaO/Al Resistive Memory for Enhanced Synaptic Characteristics.

In this study, we investigate the impact of O plasma treatment on the performance of Al/TaO/Al-based resistive random-access memory (RRAM) devices, focusing on applications in neuromorphic systems. Comparative analysis using scanning electron microscopy and X-ray photoelectron spectroscopy confirmed the differences in chemical composition between O-plasma-treated and untreated RRAM cells. Direct-current measurements showed that O-plasma-treated RRAM cells exhibited significant improvements over untreated RRAM cells, including higher on/off ratios, improved uniformity and distribution, longer retention times, and enhanced durability.

Sex-Specific and Long-Term Trends of Asthma, Allergic Rhinitis, and Atopic Dermatitis in South Korea, 2007-2022: A Nationwide Representative Study.

Introduction: Although sex differences in allergic diseases such as atopic dermatitis (AD), allergic rhinitis (AR), and asthma are considered important, a limited number of studies during the COVID-19 pandemic investigated this aspect. Therefore, this study aimed to analyze sex-specific and long-term trends and risk factors for allergic diseases before and during the pandemic.

Methods: This study utilized data from the Korea National Health and Nutrition Examination Survey, 2007-2022, including 92,135 participants aged 19 years and older.

Establishment of canine mammary gland tumor cell lines harboring PI3K/Akt activation as a therapeutic target.

Canine mammary gland tumors (MGT) have a poor prognosis in intact female canines, posing a clinical challenge. This study aimed to establish novel canine mammary cancer cell lines from primary tumors and characterize their cellular and molecular features to find potential therapeutic drugs. The MGT cell lines demonstrated rapid cell proliferation and colony formation in an anchorage-independent manner.

Kinetics-based inference of environment-dependent microbial interactions and their dynamic variation.

Microbial communities in nature are dynamically evolving as member species change their interactions subject to environmental variations. Accounting for such context-dependent dynamic variations in interspecies interactions is critical for predictive ecological modeling. In the absence of generalizable theoretical foundations, we lack a fundamental understanding of how microbial interactions are driven by environmental factors, significantly limiting our capability to predict and engineer community dynamics and function.

Recombinant expression and tryptophan-assisted analysis of human sweet taste receptor T1R3's extracellular domain in sweetener interaction studies.

The human palate can discern multiple tastes; however, it predominantly perceives five fundamental flavors: sweetness, saltiness, sourness, bitterness, and umami. Sweetness is primarily mediated through the sweet taste receptor, a membrane-bound heterodimeric structure comprising T1R2-T1R3. However, unraveling the structural and mechanistic intricacies of the sweet taste receptor has proven challenging.