Publications by authors named "Yang J"

Article Synopsis
  • The study focused on creating population norms for the EQ-5D-Y-3L health measurement tool among children and adolescents in Jiangsu, China through a large survey.
  • A total of 37,574 valid responses were collected, revealing that male respondents had slightly higher utility values and VAS scores compared to females, with age and gender influencing health-related quality of life (HRQoL).
  • The findings provide crucial baseline data for health evaluations and resource allocation in Jiangsu, highlighting the need for attention to the HRQoL of 14-year-olds and the impact of recent health symptoms.
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Background: Bacterial diseases caused by phytopathogenic Xanthomonas pose a significant threat to global agricultural production, causing substantial economic losses. Biofilm formation by these bacteria enhances their resistance to environmental stressors and chemical treatments, complicating disease control. The key to overcoming this challenge lies in the development of multifunctional green bactericides capable of effectively breaking down biofilm barriers, improving foliar deposition properties, and achieving the control of bacterial diseases.

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Background: Metabolic dysfunction-associated steatosis liver disease (MASLD) is one of the most common metabolic liver diseases around the world, whose prevalence continues to increase. Currently, there are few medications to treat MASLD. Ergothioneine is a natural compound derived from mushrooms whose sulfhydryl groups confer unique antioxidant, anti-inflammatory and detoxifying effects.

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Background: Tribe Oenantheae consists mainly of aquatic species within the Apioideae. The unique morphology and habitat distinguish this group from other Apioideae groups. However, the genomic information of these group species has not been widely developed, and the molecular mechanisms of adaptive evolution remain unclear.

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  • The study investigates the connection between alcohol consumption, gut microbiota, and the risk of early-stage hepatocellular carcinoma (HCC).
  • Researchers analyzed data from 269 patients with early-stage HCC and 278 controls to establish various mediation and moderation effects of gut bacteria on HCC risk.
  • Eight different machine learning algorithms were tested for their predictive abilities, with the XGBoost model showing the highest accuracy for predicting early-stage HCC occurrence.
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  • Postoperative nausea and vomiting (PONV) is a common issue for patients after laparoscopic sleeve gastrectomy (LSG), impacting recovery and increasing healthcare costs.
  • This study involved 219 female patients who underwent LSG, and findings showed that PONV affected 71.7% of them, with factors like postoperative pain and certain serum pepsinogen levels (PGI and PGR) being significant contributors.
  • The research concluded that higher PGI levels could increase the risk of PONV, while higher PGR levels appeared to provide some protective benefits against it.
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  • * Recent advancements include better genome assemblies and the identification of genes linked to traits like meat quality, milk production, and disease resistance, enhancing our understanding of domestication and trait genetics.
  • * The emergence of new genomic tools, like graphical pangenomics, promises to revolutionize research, promoting more effective molecular breeding and accurate prediction models for improving livestock genetics.
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Recent advancements in deep learning techniques have significantly improved multi-label chest X-ray (CXR) image classification for clinical diagnosis. However, most previous studies neither effectively learn label correlations nor take full advantage of them to improve multi-label classification performance. In addition, different labels of CXR images are usually severely imbalanced, resulting in the model exhibiting a bias towards the majority class.

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Importance: Porcine circovirus (PCV) is a global concern due to its financial impact on the pig industry. Molecular epidemiology of PCV2 and PCV3 in wild boars is essential for understanding viral dispersal and evolution in the wild boar population.

Objective: This study aimed to assess the prevalence and genotypic traits of PCV2 and PCV3 in wild boars in the Gyeongnam region.

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Renal tubule cells act as a primary site of injury in diabetic kidney disease (DKD), with dysfunctional mitochondrial quality control (MQC) closely associated with progressive kidney dysfunction in this context. Our investigation delves into the observed inactivation of yes-associated protein 1 (YAP1) and consequential dysregulation of MQC within renal tubule cells among DKD subjects through bioinformatic analysis of transcriptomics data from the Gene Expression Omnibus (GEO) dataset. Receiver operating characteristic curve analysis unequivocally underscores the robust diagnostic accuracy of YAP1 and MQC-related genes for DKD.

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The purpose of study was to evaluate the predictive performance of models for the development of arrhythmias in patients with acute coronary syndrome after percutaneous coronary intervention. Two researchers screened the literature according to CHARMS, and assessed the risk of bias and applicability based on PROBAST. A total of 44 studies were included in the review, comprising 62 models, of which 30 models identified as having a low risk of bias, and only 7 studies combined other machine learning algorithms.

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Article Synopsis
  • Metasurfaces provide precise control over light at the nanoscale, enabling manipulation of various optical properties like phase, amplitude, and polarization.
  • They can also dynamically change light absorption and emission characteristics, broadening applications to areas such as optoelectronics, displays, and solar cells.
  • This Review synthesizes current research on metasurfaces specific to optoelectronic devices and highlights future directions for both academic and industrial research.
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Similar to other malignancies, immune dysregulation is a key feature of acute myeloid leukemia (AML), manifesting as suppressed anti-leukemia immune cells, immune evasion by leukemia blasts, and disease progression. Various immunosuppressive factors within the AML microenvironment contribute to the weakening of host immune responses and the efficacy of cellular immunotherapy. To address these challenges, strategies targeting immunosuppressive elements within the AML microenvironment aim to bolster host or adoptive immune effector cells, ultimately enhancing leukemia treatment.

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Background: The effects of restrictive versus liberal transfusion strategies in critically ill patients with traumatic brain injury (TBI) and anemia, particularly in adult patients with moderate to severe TBI, remain inconclusive. Therefore, this systematic review and meta-analysis aim to evaluate the comparative impact of restrictive and liberal red blood cell transfusion strategies among critically ill adult patients with moderate to severe TBI.

Methods: We conducted a search of PubMed, EMBASE, and the Cochrane Central Register of Controlled Trials from their inception through October 20, 2024, to identify randomized controlled trials that compared restrictive (transfusions at a hemoglobin level of ≤ 7 g/dL) and liberal (transfusions at a hemoglobin level of ≤ 9-10 g/dL) transfusion strategies in adult patients with TBI.

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White matter alterations are increasingly implicated in neurological diseases and their progression. International-scale studies use diffusion-weighted magnetic resonance imaging (DW-MRI) to qualitatively identify changes in white matter microstructure and connectivity. Yet, quantitative analysis of DW-MRI data is hindered by inconsistencies stemming from varying acquisition protocols.

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Objectives: To evaluate the diagnostic accuracy of the quantitative flow ratio (QFR) for hemodynamic exploration of intracranial atherosclerotic stenosis, using the invasive cerebrovascular pressure ratio (CVPR) and resting full-cycle ratio (RFR) as reference standards.

Materials And Methods: Patients with symptomatic unifocal intracranial atherosclerotic stenosis were included. The CVPR was defined as the ratio of the proximal and distal pressures.

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Objective: To study the characteristics of event related potential P300 in preschool children with attention deficit hyperactivity disorder (ADHD) aged 4-6 years (4≤ age <6), and to explore the differences in cognitive function compared with healthy children. To explore a new method for the study of cognitive function in preschool children with ADHD.

Methods: A total of 73 preschool children aged 4-6 years were selected from the outpatient clinic of Neurology Department, the ADHD-specialized Clinic and Health Care Department of the Children's Hospital Affiliated to the Capital Institute of Pediatrics from March 2021 to May 2024.

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Uterine dendritic cells (uDCs) are critical for endometrial function, yet their origin, molecular characteristics, and specific roles during the pre- and post-implantation periods in the human endometrium remain largely unknown. The complexity of the endometrial environment makes defining the contributions of uDCs subtypes challenging. We hypothesize that distinct uDC subsets carry out specialized functions, and that resident progenitor DCs generate these subtypes.

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Genomic alterations of are common and associated with adverse clinical features in B-ALL. The relationship between the type of alteration, disease subtype and outcome are incompletely understood. Leukemia subtype and genomic alterations were determined using transcriptome and genomic sequencing and SNP microarray in 688 pediatric patients with B-ALL in St.

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Article Synopsis
  • The study combines spatial transcriptomics (ST) and single-nucleus RNA sequencing (snRNA-seq) data to improve the analysis of gene expression in Alzheimer's disease (AD), addressing limitations of previous studies with small sample sizes.
  • Using deep learning, researchers inferred the spatial locations of over 1.5 million cells from postmortem brain tissue and performed analyses on three AD-related phenotypes (β-amyloid, tangle density, and cognitive decline).
  • The results revealed 450 significant genes linked to the phenotypes, many of which were not identifiable through traditional methods, highlighting the importance of spatial information in understanding complex diseases like AD.
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