Comparison of Synovialization and Clinical Outcomes between Anterior Cruciate Ligament Anteromedial Bundle Augmentation and Double-Bundle Anterior Cruciate Ligament Reconstruction.

This study aimed to compare clinical outcomes and second-look arthroscopic findings between double-bundle anterior cruciate ligament (ACL) reconstruction for complete ACL rupture and anteromedial (AM) bundle augmentation with preservation of the posterolateral (PL) bundle in isolated AM bundle rupture. Between 2014 and 2021, we retrospectively analyzed 95 ACL reconstructions with at least 2 years of follow-up. Patients undergoing primary ACL reconstruction from January 2014 to June 2021 were included in the study.

Activation of glutamine synthetase (GS) as a new strategy for the treatment of major depressive disorder and other GS-related diseases.

Glutamine synthetase (GS) plays a crucial role in the homeostasis of the glutamate-glutamine cycle in the brain. Hypoactive GS causes depressive behaviors. Under chronic stress, GS has no change in expression, but its activity is decreased due to nitration of tyrosine (Tyr).

Integrating microfluidic and bioprinting technologies: advanced strategies for tissue vascularization.

Tissue engineering offers immense potential for addressing the unmet needs in repairing tissue damage and organ failure. Vascularization, the development of intricate blood vessel networks, is crucial for the survival and functions of engineered tissues. Nevertheless, the persistent challenge of ensuring an ample nutrient supply within implanted tissues remains, primarily due to the inadequate formation of blood vessels.

Association of varicose veins with the risk of heart failure: A nationwide cohort study.

Background: Research investigating the association between varicose veins (VV) and heart failure has been limited. Here, we examine this association within a nationwide longitudinal cohort, hypothesizing an increased risk of heart failure associated with the presence of VV.

Methods: Our study included 390,436 participants based on health screening results conducted from 2005 to 2010 in the South Korean health screening cohort database.

Generation of deep learning based virtual non-contrast CT using dual-layer dual-energy CT and its application to planning CT for radiotherapy.

This paper presents a novel approach for generating virtual non-contrast planning computed tomography (VNC-pCT) images from contrast-enhanced planning CT (CE-pCT) scans using a deep learning model. Unlike previous studies, which often lacked sufficient data pairs of contrast-enhanced and non-contrast CT images, we trained our model on dual-energy CT (DECT) images, using virtual non-contrast CT (VNC CT) images as outputs instead of true non-contrast CT images. We used a deterministic method to convert CE-pCT images into pseudo DECT images for model application.

Insignificant difference in medication adherence to dyslipidemia drugs between visually impaired and non-disabled people in South Korea: A nationwide cohort study using claims records.

Incidence of visual impairment (VI) and dyslipidemia is increasing with aging. Although good medication adherence (MA) is a crucial factor in achieving therapeutic goals for dyslipidemia, there is a paucity of studies measuring MA in the visually impaired with dyslipidemia. We investigated whether patients with VI had worse MA to dyslipidemia drugs than non-disabled people and determined the factors affecting MA among patients with VI.

Prediction of late-onset depression in the elderly Korean population using machine learning algorithms.

Late-onset depression (LOD) refers to depression that newly appears in elderly individuals without prior depression episodes. Predicting future depression is crucial for mitigating the risk of major depression in prospective patients. This study aims to develop machine learning models to predict future depression.

Allergic rhinitis may attenuate the sympathovagal imbalances in patients with severe obstructive sleep apnea: pilot study using a heart rate variability analysis.

Purpose: The effect of allergic rhinitis (AR) on autonomic nervous system in patients with obstructive sleep apnea (OSA) remains unclear. We utilized heart rate variability (HRV) analysis to assess cardiac autonomic activity in patients with OSA, comparing those with and without allergic rhinitis (AR).

Methods: We enrolled 182 patients who visited our sleep clinic complaining of habitual snoring or apnea during sleep.

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.

Protocol for a single-blind randomized controlled clinical trial to investigate the feasibility and safety of in-bed self-exercises based on electromyography sensor feedback in patients with subacute stroke.

Background: The dosage and intensity of physical therapy are crucial factors influencing the motor recovery of the hemiplegic lower limb in patients with subacute stroke. Biofeedback using wearable sensors may provide opportunities for patients with stroke to effectively guide self-exercises with monitoring of muscular activities in hemiplegic lower limbs. This study aims to explore the feasibility and safety of in-bed self-exercises based on electromyography sensor feedback in patients with subacute stroke.

A machine learning approach for estimating Eastern Asian origins from massive screening of Y chromosomal short tandem repeats polymorphisms.

Inferring the ancestral origin of DNA evidence recovered from crime scenes is crucial in forensic investigations, especially in the absence of a direct suspect match. Ancestry informative markers (AIMs) have been widely researched and commercially developed into panels targeting multiple continental regions. However, existing forensic ancestry inference panels typically group East Asian individuals into a homogenous category without further differentiation.

Spatially Resolved Tumor Ecosystems and Cell States in Gastric Adenocarcinoma Progression and Evolution.

Gastric cancer (GC) is a major cause of global cancer mortality with high levels of heterogeneity. To explore geospatial interactions in tumor ecosystems, we integrated 2,138 spatial transcriptomic regions-of-interest (ROIs) with 152,423 single-cell expression profiles across 226 GC samples from 121 patients. We observed pervasive expression-based intratumor heterogeneity, recapitulating tumor progression through spatially localized and functionally ordered subgroups associated with specific immune microenvironments, checkpoint profiles, and genetic drivers such as SOX9.

Clinical predictors and noninvasive imaging in Fontan-associated liver disease: A systematic review and meta-analysis.

Background: Despite the development of several imaging modalities for diagnosing Fontan-associated liver disease (FALD), there is no optimal protocol for the follow-up of FALD. We conducted a systematic review and meta-analysis to identify factors related to liver fibrosis using biopsy reports and to identify alternative noninvasive modalities that could better reflect liver histological changes in FALD.

Methods: A systematic review and meta-analysis were conducted following the PRISMA guidelines Table S2.

Annotated corpus for traditional formula-disease relationships in biomedical articles.

The Traditional Formula (TF), a combination of herbs prepared in accordance with traditional medicine principles, is increasingly garnering global attention as an alternative to modern medicine. Specifically, there is growing interest in exploring TF's therapeutic effects across various diseases. A significant portion of the state-of-the-art knowledge regarding the relationship between TF and disease is found in scientific publications, where manual knowledge extraction is impractical.

Encapsulation, vacuolation, and phagocytosis of the opportunistic fungal pathogen Cryptococcus in the liver of an immunocompetent host.

The cellular characteristics of the opportunistic fungal pathogen Cryptococcus species were investigated in the infected liver of an immunocompetent host using transmission electron microscopy (TEM). With no records of immunodeficiency, the 3-year-old female patient displayed a high-grade fever, lethargy, and increasing jaundice. TEM analysis revealed the presence of round yeast cells in the patient's liver.

Geographic disparities impacting oral vaccine performance: Observations and future directions.

Oral vaccines have several advantages compared with parenteral administration: they can be relatively cheap to produce in high quantities, easier to administer, and induce intestinal mucosal immunity that can protect against infection. These characteristics have led to successful use of oral vaccines against rotavirus, polio, and cholera. Unfortunately, oral vaccines for all three diseases have demonstrated lower performance in the highest-burden settings where they are most needed.

Novel deep neural network architecture fusion to simultaneously predict short-term and long-term energy consumption.

Energy is integral to the socio-economic development of every country. This development leads to a rapid increase in the demand for energy consumption. However, due to the constraints and costs associated with energy generation resources, it has become crucial for both energy generation companies and consumers to predict energy consumption well in advance.

Accurate multi-behavior sequence-aware recommendation via graph convolution networks.

How can we recommend items to users utilizing multiple types of user behavior data? Multi-behavior recommender systems leverage various types of user behavior data to enhance recommendation performance for the target behavior. These systems aim to provide personalized recommendations, thereby improving user experience, engagement, and satisfaction across different applications such as e-commerce platforms, streaming services, news websites, and content platforms. While previous approaches in multi-behavior recommendation have focused on incorporating behavioral order and dependencies into embedding learning, they often overlook the nuanced importance of individual behaviors in shaping user preferences during model training.

Insecticide resistance mutations of Anopheles species in the Republic of Korea.

The number of reported malaria cases transmitted by Anopheles mosquitoes in the Republic of Korea (ROK) increased from 420 in 2022 to 746 in 2023, a 77.6% increase. Eight Anopheles species are currently reported in the ROK, including six species belonging to the Anopheles Hyrcanus Group and one species each belonging to the Barbirostris Group and Lindesayi Group.

Validity of the Actigraph-GT9X accelerometer for measuring steps and energy expenditures in heart failure patients.

Introduction: The ActiGraph (AG) accelerometer is widely used to assess physical activity (PA) in heart failure (HF) patients. However, the validity of the AG in this population remains unexplored.

Objective: Therefore, this study examined the criterion validity of the AG-GT9X for measuring step counts (SC) and energy expenditure (EE) among HF patients.

Spectral scattering characteristics of subwavelength-sized spherical particles near Mie resonance modes probed by tightly focused Terahertz waves.

The complex dynamics of terahertz (THz) wave scattering by subwavelength-scale structures remain largely unexplored. This article examines the spectral scattering characteristics of subwavelength-sized spherical particles probed by tightly focused THz waves through numerical simulations and experimental techniques. The simulations reveal that the scattering intensity for lower Mie resonance modes (magnetic dipole and electric dipole modes) remains largely unaffected when THz waves are focused down to 0.

Association between behavioral and sociodemographic factors and high subjective health among adolescents: a nationwide representative study in South Korea.

The need to understand subjective health has increased during the COVID-19 pandemic, given its substantial impact on lifestyle habits and perceptions. Thus, this study aimed to investigate the trends and association of subjective health with demographic and behavioral factors, primarily focusing on the change when the COVID-19 pandemic emerged. This study used data from the Korea Youth Risk Behavior Web-based Survey, comprising 1,190,468 adolescents aged 12-18 years (female, 48.

Effects of Exercise on Pain and Disability after Lumbar Disc Herniation Surgery: A Systematic Review and Meta-Analysis of Randomized Controlled Trials.

Objective: To evaluate the effects of postoperative exercise on pain, disability, and quality of life (QoL) after lumbar disc herniation (LDH) surgery.

Design: We systematically searched the PubMed, EMBASE, Cochrane Library, and PEDro databases up to May 2024. Two reviewers independently selected and assessed relevant randomized controlled trials investigating the effectiveness of postoperative exercise after the surgical treatment of patients diagnosed with LDH on low back pain, disability, and QoL assessed using visual analog scale (VAS), Oswestry Disability Index (ODI), and 36-item short-form health survey (SF-36).