LI-RADS Ultrasound Surveillance Version 2024: Comparison With Version 2017 for Hepatocellular Carcinoma Detection and Risk Factors for Visualization Score C.

The LI-RADS Ultrasound Surveillance algorithm was updated in 2024, incorporating alpha-fetoprotein (AFP) and visualization score of VIS-C into management recommendations after nonpositive results. This study aimed to compare the diagnostic performance of LI-RADS Ultrasound Surveillance version 2017 (v2017) and version 2024 (v2024) for hepatocellular carcinoma (HCC) detection in at-risk patients and to identify predictors of VIS-C on follow-up surveillance examinations. This retrospective analysis included 407 patients (median age, 56 years; 230 male, 177 female) with cirrhosis who underwent rounds of semi-annual surveillance ultrasound as part of a prospective trial from November 2011 to December 2012.

Attractor Landscape Analysis Reveals a Reversion Switch in the Transition of Colorectal Tumorigenesis.

A cell fate change such as tumorigenesis incurs critical transition. It remains a longstanding challenge whether the underlying mechanism can be unraveled and a molecular switch that can reverse such transition is found. Here a systems framework, REVERT, is presented with which can reconstruct the core molecular regulatory network model and a reversion switch based on single-cell transcriptome data over the transition process is identified.

Unraveling Redox Mediator-Assisted Chemical Relithiation Mechanism for Direct Recycling of Spent Ni-Rich Layered Cathode Materials.

The increasing demand for Li-ion batteries across various energy storage applications underscores the urgent need for environmentally friendly and efficient direct recycling strategies to address the issue of substantial cathode waste. Diverse reducing agents for Li supplements, such as quinone molecules, have been considered to homogenize the Li distribution in the cathode materials obtained after cycling; however, the detailed reaction mechanism is still unknown. Herein, the ideal electrochemical potential factor and reaction mechanism of the redox mediator 3,5-di-tert-butyl-o-benzoquinone (DTBQ) for the chemical relithiation of high-Ni-layered cathodes are elucidated.

Indirubin-3'-oxime as a dual-action agent: mitigating heat-induced male infertility in and inhibiting soluble epoxide hydrolase.

This study investigated the potential of the indirubin-3'-oxime (I3O) compound to mitigate temperature-induced male infertility in . Elevated temperatures significantly reduced egg-hatching rates, but I3O supplementation improved these rates, suggesting it can partially restore fertility under heat stress. Additionally, I3O was found to inhibit soluble epoxide hydrolase (sEH), an enzyme involved in the metabolism of epoxyeicosatrienoic acids, which are vital for reproductive health.

South Korean study to prevent cognitive impairment and protect brain health through multidomain interventions via face-to-face and video communication platforms in mild cognitive impairment (SUPERBRAIN-MEET): A randomized controlled trial.

Introduction: We investigated the efficacy of a multidomain intervention (MI) via face-to-face and video communication platforms using a tablet personal computer application in patients with mild cognitive impairment (MCI).

Methods: Three hundred participants with MCI and ≥ 1 modifiable dementia risk factor, aged 60-85 years, were randomly assigned to either the MI group, who underwent a 24-week intervention, or the control group, who received usual care.

Results: The overall adherence rate to MI was 84.

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.

"Popping the Ion-Basket": Enhancing Thermoelectric Performance of Conjugated Polymers by Blending with Latently Dissociable Perovskite Quantum Dots.

A novel additive method to boost the Seebeck coefficient of doped conjugated polymers without a significant loss in electrical conductivity is demonstrated. Perovskite (CsPbBr) quantum dots (QDs) passivated by ligands with long alkyl chains are mixed with a conjugated polymer in a solution phase to form polymer-QD blend films. Solution sequential doping of the blend film with AuCl solution not only doped the conjugated polymer but also decomposed the QDs, resulting in a doped conjugated polymer film embedded with separated ions dissociated from the QDs.

Design Rule of Tetradentate Ligand-Based Pt(II) Complex for Efficient Singlet Exciton Harvesting in Fluorescent Organic Light-Emitting Diodes.

Controlling intermolecular interactions, such as triplet-triplet annihilation (TTA) and triplet-polaron annihilation (TPA), is crucial for achieving high quantum efficiency in organic light-emitting diodes (OLEDs) by suppressing exciton loss. This study investigates the molecular design of tetradentate Pt(II) complexes used for singlet exciton harvesting in fluorescent OLEDs to elucidate the relationship between the chemical structure of the ligands and exciton quenching mechanisms. It was discovered that the bulkiness of substituents is pivotal for maximizing quantum efficiency in these devices.

Backbone Engineering of Bithiophene Imide Dimer-Based Polymeric Mixed Ionic-Electronic Conductors for High-Performance n-Type Organic Electrochemical Transistors.

Polymeric mixed ionic-electronic conductors (PMIECs) are gaining significant attention due to their potential applications in organic electrochemical transistors (OECTs). However, the performance of n-type OECTs still lags behind that of their p-type counterparts. Here, the structure-performance correlation of fused bithiophene imide dimer (BTI2)-based PMIECs is systematically investigated with the backbone evaluation from acceptor-strong donor (A-SD) to acceptor-donor (A-D), to acceptor-weak donor (A-WD), to acceptor-weak acceptor (A-WA), and finally to A-A structures.

Effect of moisture in fire hoods and gloves on residual heat accumulation during repeated rest-work cycles at a fire scene.

Firefighters are exposed to the risk of burns at fire scenes. In 2020, the National Fire Agency of the Republic of Korea surveyed 50,527 firefighters and identified 242 burn-related incidents. The body parts affected by these burns were the hands (28.

Evaluation of Perceptual and Anthropometrical Facial Changes According to Increase in Vertical Dimension of Occlusion.

Background: For restorative demands, increased vertical dimension of occlusion (VDO) is sometimes necessary, as facial changes can be perceptible.

Objectives: This study aimed to evaluate the perception of facial change due to increased VDO and associated soft tissue changes using 3D-scanned facial images.

Methods: Forty participants with healthy dentition and no loss of VDO were recruited.

Two Steps Li Ion Storage Mechanism in Ruddlesden-Popper LiLaTiO.

Innovative anode materials are essential for achieving high-energy-density lithium-ion batteries (LIBs) with longer lifetimes. Thus far, only a few studies have explored the use of layered perovskite structures as LIB anode materials. In this study, the study demonstrates the performance and charge/discharge mechanism of the previously undefined Ruddlesden-Popper Li₂La₂Ti₃O₁₀ (RPLLTO) as an anode material for LIBs.

Social Network Analysis of Self-Management Behavior Among Older Adults With Diabetes.

Objective: This study explores the influence of social network structures on self-management behaviors among older adults with diabetes in rural Korean villages, focusing on dietary management, physical activity, and blood glucose monitoring.

Design: Employing social network analysis (SNA), the study assessed network structures in three villages, focusing on variations in degree, closeness, and betweenness centralities to understand their impact on health behavior dissemination and adoption.

Results: The analysis identified significant differences in network configurations across the villages.

Analysis of quantitative trait loci and candidate gene exploration associated with cold tolerance in rice ( L.) during the seedling stage.

Cold stress during the seedling stage significantly threatens rice ( L.) production, specifically in temperate climates. This study aimed to identify quantitative trait loci (QTLs) associated with cold tolerance at the seedling stage.

A customized convolutional neural network-based approach for weeds identification in cotton crops.

Smart farming is a hot research area for experts globally to fulfill the soaring demand for food. Automated approaches, based on convolutional neural networks (CNN), for crop disease identification, weed classification, and monitoring have substantially helped increase crop yields. Plant diseases and pests are posing a significant danger to the health of plants, thus causing a reduction in crop production.

Corrigendum: Enhancing enzyme-mediated cellulose hydrolysis by incorporating acid groups onto the lignin during biomass pretreatment.

[This corrects the article DOI: 10.3389/fbioe.2020.

Analysis of drug pricing drivers under South Korea's pharmaco-economic evaluation exemption policy (2015-2022).

Objective: This study analysed the characteristics of new drugs listed under the pharmaco-economic evaluation exemption (PEE) system from 2015 to 2022 in South Korea and examined the factors influencing the pricing decisions under this system.

Methods: A mixed-methods statistical approach was used to comprehensively evaluate the factors influencing drug pricing under PEE system. Descriptive statistics provide an overview of the dataset, while inferential statistics, including t-tests and Pearson's correlation analyses, are used to explore variable associations.

Unlocking the therapeutic mechanism of : a comprehensive review of its antioxidant and anti-cancer properties, ethnopharmacology, and phytochemistry.

Herbal medicine are an invaluable reservoir of bioactive compounds, offering immense potential for novel drug development to address a wide range of diseases. Among these, has gained recognition for its historical medicinal applications and substantial therapeutic potential. This review explores the ethnopharmacological significance, phytochemical composition, and pharmacological properties of , with a particular focus on its anticancer activities.

Understanding the role of the gut microbiome in solid tumor responses to immune checkpoint inhibitors for personalized therapeutic strategies: a review.

Immunotherapy, especially immune checkpoint inhibitor (ICI) therapy, has yielded remarkable outcomes for some patients with solid cancers, but others do not respond to these treatments. Recent research has identified the gut microbiota as a key modulator of immune responses, suggesting that its composition is closely linked to responses to ICI therapy in cancer treatment. As a result, the gut microbiome is gaining attention as a potential biomarker for predicting individual responses to ICI therapy and as a target for enhancing treatment efficacy.

Comparison of Dynamic Postural Stability in Autografts Versus Allografts Following Anterior Cruciate Ligament Reconstruction With Remnant Preservation: A Prospective Study With 1-Year Follow-up.

Background: Graft selection is an important part of preoperative planning for anterior cruciate ligament reconstruction (ACLR). In addition, ACLR with the remnant preservation technique has recently gained attention due to potential benefit in bone-tendon healing, graft revascularization, and proprioceptive nerve remodeling. However, the ideal graft choice remains controversial, and there is limited research comparing autograft and allograft in ACLR with remnant preservation.

A bird's-eye view of the biological mechanism and machine learning prediction approaches for cell-penetrating peptides.

Cell-penetrating peptides (CPPs) are highly effective at passing through eukaryotic membranes with various cargo molecules, like drugs, proteins, nucleic acids, and nanoparticles, without causing significant harm. Creating drug delivery systems with CPP is associated with cancer, genetic disorders, and diabetes due to their unique chemical properties. Wet lab experiments in drug discovery methodologies are time-consuming and expensive.

Comparative study of imputation strategies to improve the sarcopenia prediction task.

Objective: Sarcopenia, a condition characterized by the progressive loss of skeletal muscle mass and strength, poses significant challenges in research due to missing data. Incomplete datasets undermine the accuracy and reliability of studies, necessitating effective imputation techniques. This study conducts a comparative analysis of three advanced methods-multiple imputation by chained equations (MICE), support vector regression, and K-nearest neighbors (KNN)-to address data completeness issues in sarcopenia research.

A multi-patch-based deep learning model with VGG19 for breast cancer classifications in the pathology images.

Purpose: Breast cancer encompasses various subtypes with distinct prognoses, necessitating accurate stratification methods. Current techniques rely on quantifying gene expression in limited subsets. Given the complexity of breast tissues, effective detection and classification of breast cancer is crucial in medical imaging.

Prediction of reduced left ventricular ejection fraction using atrial fibrillation or flutter electrocardiograms: A machine-learning study.

Objective: Although the evaluation of left ventricular ejection fraction (LVEF) in patients with atrial fibrillation (AF) or atrial flutter (AFL) is crucial for appropriate medical management, the prediction of reduced LVEF (<50%) with AF/AFL electrocardiograms (ECGs) lacks evidence. This study aimed to investigate deep-learning approaches to predict reduced LVEF (<50%) in patients with AF/AFL ECGs and easily obtainable clinical information.

Methods: Patients with 12-lead ECGs of AF/AFL and echocardiography were divided into those with LVEF <50% and ≥50%.

Meta-narrative review: the impact of music therapy on sleep and future research directions.

Sleep is essential to human health, yet 27% of the global population suffers from sleep issues, which often lead to fatigue, depression, and impaired cognitive function. While pharmacological treatments exist, non-pharmacological approaches like music therapy have shown promise in enhancing sleep quality. This review, analyzing 27 studies with various experimental paradigms, confirms that music therapy significantly improves subjective sleep quality, largely by alleviating anxiety and regulating mood through perceptual pathways.