163,868 results match your criteria: "Korea Institute of Science & Technology Hwarang-ro 14-gil 5[Affiliation]"

Background: The non-saponin (NS) fraction is an important active component of with multifunctional pharmacological activities including neuroprotective, immune regulatory, anti-inflammatory, and antioxidant effects. However, the effects of NSs on multiple sclerosis (MS), a chronic and autoimmune demyelinating disorder, have not yet been demonstrated.

Purpose: and Methods: The goal of the present study was to demonstrate the pharmacological actions of NSs on movement dysfunctions and the related mechanisms of action using an experimental autoimmune encephalomyelitis (EAE) mouse model of MS.

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The human gut, which contains a diverse microbiome, plays an important role in maintaining physiological balance and preserving the immune system. The complex interplay between the central nervous system (CNS) and the gut microbiome has gained significant attention due to its profound implications for overall health, particularly for gut and brain disorders. There is emerging evidence that the gut-brain axis (GBA) represents a bidirectional communication system between the CNS and the gastrointestinal tract and plays a pivotal role in regulating many aspects of human health.

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Background: Ginseng Berry Concentrate (GBC) enhances exercise capacity in mice, but the effects of its key component, ginsenoside Re (G-Re), on aging and mitochondrial function are not well understood. This study investigates the impact of G-Re on mitophagy and its potential to promote healthy aging.

Methods: Experiments in C2C12 myocytes and HeLa-mitoKeima-PARKIN cells assessed GBC and G-Re's effects on mitophagy, supported by Gene Set Enrichment Analysis.

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Background: A decline in muscle mass and function can impact the health, disease vulnerability, and mortality of older adults. Prolonged use of high doses of glucocorticoids, such as dexamethasone (DEX), can cause muscle wasting and reduced strength. Ginsenoside Rc (gRc) has been shown to protect muscles by activating the PGC-1α pathway and improving mitochondrial function.

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DNA damage is a driver of cancer formation, leading to the impairment of repair mechanisms in cancer cells and rendering them susceptible to DNA-damaging therapeutic approaches. The concept of "synthetic lethality" in cancer clinics has emerged, particularly with the use of PARP inhibitors and the identification of DNA damage response (DDR) mutation biomarkers, emphasizing the significance of targeting DDR in cancer therapy. Novel approaches aimed at genome maintenance machinery are under development to further enhance the efficacy of cancer treatments.

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Unlocking biochar impacts on abiotic stress dynamics: a systematic review of soil quality and crop improvement.

Front Plant Sci

January 2025

Horticultural and Herbal Crop Environment Division, Soil Management Laboratory, National Institute of Horticultural and Herbal Science, Rural Development Administration, Wanju-gun, Republic of Korea.

Global agricultural challenges, especially soil degradation caused by abiotic stresses, significantly reduce crop productivity and require innovative solutions. Biochar (BC), a biodegradable product derived from agricultural and forestry residues, has been proven to significantly enhance soil quality. Although its benefits for improving soil properties are well-documented, the potential of BC to mitigate various abiotic stresses-such as drought, salinity, and heavy metal toxicity-and its effect on plant traits need further exploration.

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Efficient magnetization control is a central issue in magnetism and spintronics. Particularly, there are increasing demands for manipulation of magnetic states in van der Waals (vdW) magnets with unconventional functionalities. However, the electrically induced phase transition between ferromagnetic-to-antiferromagnetic states without external magnetic field is yet to be demonstrated.

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The clinical syndrome appears as a dysregulated host response to infection that results in life-threatening organ dysfunction known as Sepsis. Sepsis is a serious public health concern where for every five deaths in ICU there is one patient who dies with sepsis worldwide. Sepsis is featured as unbalanced inflammation and immunosuppression which is sustained and profound, increasing patient susceptibility to secondary infections and mortality.

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Aim: To describe the self-reported mental health of nurses from 35 countries who worked during the COVID-19 pandemic.

Background: There is little occupationally specific data about nurses' mental health worldwide. Studies have documented the impact on nurses' mental health of the COVID-19 pandemic, but few have baseline referents.

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MS-Based Glycome Characterization of Biotherapeutics With N- and O-Glycosylation.

Mass Spectrom Rev

January 2025

Asia-Pacific Glycomics Reference Site, Daejeon, Korea.

With the increasing FDA approvals of glycoprotein-based biotherapeutics including monoclonal antibodies, cytokines, and enzyme treatments, the significance of glycosylation in modulating drug efficacy and safety becomes central. This review highlights the crucial role of mass spectrometry (MS) in elucidating the glycome of biotherapeutics that feature N- and O-glycosylation, directly addressing the challenges posed by glycosylation complexity and heterogeneity. We have detailed the advancements and application of MS technologies including MALDI-TOF MS, LC-MS, and tandem MS in the precise characterization of glycoprotein therapeutics.

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Effectiveness of room-of-error interventions for healthcare providers: a systematic review.

BMC Nurs

January 2025

College of Nursing, Research Institute of Nursing Science, Ajou University, 164 World cup-ro, Yeongtong-gu, Suwon, 16499, South Korea.

Background: Patient safety incidents are recognized as significant contributors to patient mortality, thus demanding immediate attention and strategic interventions in healthcare systems. The room-of-error education program serves as a solution, as it provides a case-based learning platform allowing nursing students to identify and resolve medical errors within a controlled environment systematically. This study aimed to identify the context, mechanisms, and outcomes of room-of-error training programs.

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Integrating E-cadherin expression levels with TNM staging for enhanced prognostic prediction in colorectal cancer patients.

BMC Cancer

January 2025

Gachon Medical Research Institute, Gachon Biomedical Convergence Institute, College of Medicine, Gachon University Gil Medical Center, Gachon University, Incheon, 21565, Republic of Korea.

Purpose: This study aimed to investigate the clinical significance of E-cadherin expression levels in colorectal cancer tissues and explore the relationship between E-cadherin expression and tumor node metastasis (TNM) stage. The goal was to establish a more accurate prognostic prediction for colorectal cancer patients by analyzing E-cadherin expression levels alongside TNM staging.

Methods: The study examined colorectal cancer patients by dividing them into groups based on E-cadherin expression levels.

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Background: Non-typhoidal Salmonella (NTS) frequently cause bloodstream infection in children under-five in sub-Saharan Africa, particularly in malaria-endemic areas. Due to increasing drug resistance, NTS are often not covered by standard-of-care empirical antibiotics for severe febrile illness. We developed a clinical prediction model to orient the choice of empirical antibiotics (standard-of-care versus alternative antibiotics) for children admitted to hospital in settings with high proportions of drug-resistant NTS.

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The complex and dynamic nature of airborne fine particulate matter (PM) has hindered understanding of its chemical composition, sources, and toxic effects. In the first steps of a larger study, here, we aimed to elucidate relationships between source regions, ambient conditions, and the chemical composition in water extracts of PM samples ( = 85) collected over 16 months at an observatory in the Yellow Sea. In each extract, we quantified elements and major ions and profiled the complex mixtures of organic compounds by nontarget mass spectrometry.

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Endophytes have significant prospects for applications beyond their existing utilization in agriculture and the natural sciences. They form an endosymbiotic relationship with plants by colonizing the root tissues without detrimental effects. These endophytes comprise several microorganisms, including bacteria and fungi.

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In this paper, we propose a method to address the class imbalance learning in the classification of focal liver lesions (FLLs) from abdominal CT images. Class imbalance is a significant challenge in medical image analysis, making it difficult for machine learning models to learn to classify them accurately. To overcome this, we propose a class-wise combination of mixture-based data augmentation (CCDA) method that uses two mixture-based data augmentation techniques, MixUp and AugMix.

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Background: Concurrent exercise (CE), an emerging exercise modality characterized by sequential bouts of aerobic (AE) and resistance exercise (RE), has demonstrated acute benefits on executive functions (EFs) and neuroelectric P3 amplitude. However, the effect of acute CE on inhibitory control, a sub-component of EFs, and P3 amplitude remains inconclusive. Moreover, exploring the mechanisms underlying the effects of acute exercise on EFs contributes to scientific comprehension, with lactate recognized as a crucial candidate positively correlated with EFs.

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Climatically Specialized Lineages of Batrachochytrium dendrobatidis, and its Likely Asian Origins.

Ecohealth

January 2025

Guangxi Key Laboratory for Forest Ecology and Conservation, College of Forestry, Guangxi University, Nanning, Guangxi, 530000, People's Republic of China.

Chytridiomycosis is a wildlife disease that has caused significant declines in amphibian populations and species extinctions worldwide. Asia, where the causal pathogens Batrachochytrium dendrobatidis (Bd) and B. salamndrivorans (Bsal) originated, has not witnessed mass die-offs.

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Cognitive training is a promising intervention for psychological distress; however, its effectiveness has yielded inconsistent outcomes across studies. This research is a pre-registered individual-level meta-analysis to identify factors contributing to cognitive training efficacy for anxiety and depression symptoms. Machine learning methods, alongside traditional statistical approaches, were employed to analyze 22 datasets with 1544 participants who underwent working memory training, attention bias modification, interpretation bias modification, or inhibitory control training.

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Social cognition, which ranges from recognizing social cues to intricate inferential reasoning, is influenced by environmental factors and epigenetic mechanisms. Notably, methylation variations in stress-related genes like brain-derived neurotrophic factor (BDNF) and the oxytocin receptor (OXTR) are linked to distinct social cognitive functions and exhibit sex-specific differences. This study investigates how these methylation differences affect social cognition across sexes, focusing on both perceptual and inferential cognitive levels.

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The increasing level of cadmium (Cd) contamination in soil due to anthropogenic actions is a significant problem. This problem not only harms the natural environment, but it also causes major harm to human health via the food chain. The use of chelating agent is a useful strategy to avoid heavy metal uptake and accumulation in plants.

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Multi scale multi attention network for blood vessel segmentation in fundus images.

Sci Rep

January 2025

Department of Data Science and Artificial Intelligence, Sunway University, 47500, Petaling Jaya, Selangor Darul Ehsan, Malaysia.

Precise segmentation of retinal vasculature is crucial for the early detection, diagnosis, and treatment of vision-threatening ailments. However, this task is challenging due to limited contextual information, variations in vessel thicknesses, the complexity of vessel structures, and the potential for confusion with lesions. In this paper, we introduce a novel approach, the MSMA Net model, which overcomes these challenges by replacing traditional convolution blocks and skip connections with an improved multi-scale squeeze and excitation block (MSSE Block) and Bottleneck residual paths (B-Res paths) with spatial attention blocks (SAB).

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To reliably operate anode-less solid-state Li metal batteries, wherein precipitated Li acts as the anode, stabilizing the interface between the solid electrolyte and electrode is crucial. The interface can be controlled by a metal interlayer on the electrolyte to form a Li alloy buffer that facilitates stable Li plating/stripping, thereby mitigating the loss of physical contact and preventing short circuits. However, the mechanism governing stable Li plating/stripping in the metal interlayer without degrading battery materials remains unclear owing to an incomplete understanding of the dynamic and complex electrochemical reactions in the solid state.

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