Publications by authors named "Jiong Liu"

Article Synopsis
  • The study explores how mobile online game experience and community interactions influence user satisfaction through perceived value, using a survey of 252 respondents and structural equation modeling.
  • Key findings indicate that a quality game experience boosts perceived entertainment value, while strong community interactions enhance both entertainment and social value, leading to greater overall user satisfaction.
  • The research offers practical insights for game developers on strategies to improve player enjoyment and engagement by emphasizing the importance of entertainment and social value in game design and community building.
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  • A major challenge in treating neurodegenerative diseases is the lack of accurate models that simulate human disease processes, particularly concerning neuromelanin accumulation with aging.
  • Researchers developed a transgenic mouse model, tgNM, that mimics the distribution of neuromelanin in human brains, specifically in catecholamine-producing neurons.
  • This model exhibits age-related neuronal dysfunction and degeneration, presenting symptoms similar to early stages of neurodegenerative diseases, thus offering new opportunities for research in brain aging and neurodegeneration.
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Introduction: Targeting, imaging, and treating tumors represent major clinical challenges. Developing effective theranostic agents to address these issues is an urgent need.

Methods: We introduce an "all-in-one" tumor-targeted theranostic platform using CuFeSe-based composite nanoparticles (CuFeSe@PA) for magnetic resonance (MR) and computed tomography (CT) dual model imaging-guided hyperthermia tumor ablation.

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  • * The maize transcription factor ZmMYB56 is essential for regulating stomatal closure in response to high carbon dioxide (CO) levels, as it affects the expression of another gene, ZmHLT1.
  • * Disruption of ZmMYB56 results in the inability of maize to respond to elevated CO, revealing potential genetic pathways to enhance maize adaptability to rising CO levels in the environment.
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Microbial communities such as those residing in the human gut are highly diverse and complex, and many with important implications in health and diseases. The effects and functions of these microbial communities are determined not only by their species compositions and diversities but also by the dynamic intra- and inter-cellular states at the transcriptional level. Powerful and scalable technologies capable of acquiring single-microbe-resolution RNA sequencing information in order to achieve comprehensive understanding of complex microbial communities together with their hosts is therefore utterly needed.

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Objectives: This study aims to elucidate the transcriptomic signatures and dysregulated pathways in patients with Systemic Lupus Erythematosus (SLE), with a particular focus on those persisting during disease remission.

Methods: We conducted bulk RNA-sequencing of peripheral blood mononuclear cells (PBMCs) from a well-defined cohort comprising 26 remission patients meeting the Low Lupus Disease Activity State (LLDAS) criteria, 76 patients experiencing disease flares, and 15 healthy controls. To elucidate immune signature changes associated with varying disease states, we performed extensive analyses, including the identification of differentially expressed genes and pathways, as well as the construction of protein-protein interaction networks.

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Background: Maize is a major cereal crop world widely, however, the yield of maize is frequently limited by dehydration and even death of plants, which resulted from osmotic stress such as drought and salinity. Dissection of molecular mechanisms controlling stress tolerance will enable plant scientists and breeders to increase crops yield by manipulating key regulatory components.

Methods: The candidate OSR1 gene was identified by map-based cloning.

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  • - Episodic memory is a type of long-term memory that helps us learn and store our unique personal experiences, and this paper suggests a new circuit design inspired by this memory type.
  • - The proposed memristive neural network circuit includes three main modules: a neocortical module for sensory input, a parahippocampal module for processing different types of information, and a hippocampus module to generate and store episodic memories.
  • - Simulation results indicate the circuit can successfully generate various episodic memories and extract specific scenario information, showcasing its potential application in predicting hurricane categories by adjusting memristor parameters.
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  • This meta-analysis examines the connection between pregnancy loss, specifically miscarriages and stillbirths, and the risk of cardiovascular diseases (CVDs).
  • The study analyzed 23 articles and found that women with a history of miscarriage had higher pooled relative risks for various CVDs, with risks increasing for each additional miscarriage.
  • Similarly, women with stillbirths showed even greater risks for total CVDs and related conditions, indicating a significant association between pregnancy loss and cardiovascular health.
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Cholangiocarcinoma (CCA) is a highly aggressive hepatobiliary malignancy, second only to hepatocellular carcinoma in prevalence. Despite surgical treatment being the recommended method to achieve a cure, it is not viable for patients with advanced CCA. Gene sequencing and artificial intelligence (AI) have recently opened up new possibilities in CCA diagnosis, treatment, and prognosis assessment.

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Objectives: The study aimed to establish radiomics models based on magnetic resonance imaging (MRI) multiparameter images to predict the survival and prognosis of patients with extrahepatic cholangiocarcinoma (ECC).

Methods: Seventy-eight patients with ECC confirmed by pathology were collected retrospectively. The radiomics model_a/b/c were constructed based on the 1/2/3-year survival of patients with ECC.

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Background: Assisted reproduction technology (ART) has advanced significantly, raising concerns regarding its impact on the secondary sex ratio (SSR), which is the sex ratio at birth in offspring. This study aimed to explore factors affecting SSR in singletons, singletons from twin gestation, and twins from twin gestation within the context of ART.

Methods: A retrospective analysis was conducted on data from 8335 births involving 6,223 couples undergoing ART.

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  • - The study aimed to explore how a methylation risk score (MRS) relates to the risk of type 2 diabetes mellitus (T2DM) and how environmental factors might interact with this score.
  • - Researchers conducted a nested case-control study involving 241 individuals with T2DM and 241 matched controls, analyzing specific genetic methylation sites to create simple and weighted MRSs.
  • - Results showed that higher MRSs were significantly linked to increased T2DM risk, with specific interactions found between smoking, hypertension, and obesity, indicating environmental factors may affect this relationship.
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Plants have evolved complex physical and chemical defense systems that allow them to withstand herbivory infestation. Composed of a complex mixture of very-long-chain fatty acids (VLCFAs) and their derivatives, cuticular wax constitutes the first physical line of defense against herbivores. Here, we report the function of Glossy 8 (ZmGL8), which encodes a 3-ketoacyl reductase belonging to the fatty acid elongase complex, in orchestrating wax production and jasmonic acid (JA)-mediated defenses against herbivores in maize (Zea mays).

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Background: Accurate identification of extrahepatic cholangiocarcinoma (ECC) from an image is challenging because of the small size and complex background structure. Therefore, considering the limitation of manual delineation, it's necessary to develop automated identification and segmentation methods for ECC. The aim of this study was to develop a deep learning approach for automatic identification and segmentation of ECC using MRI.

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The performance degradation at low temperatures and frequent safety accidents have aggravated security risks and inhibited the long-term service of lithium-ion batteries (LIBs). As a key component of LIBs, the separator has a great impact on the performance and safety of the battery. In this study, tensile tests of two commercial polyolefin separators (Celgard 2325 and Celgard PE) are performed under low-temperature and immersion conditions.

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While noise pollution from transportation has become an important public health problem, the relationships between different sources of traffic noise and cardiovascular diseases (CVDs) remain inconclusive. A comprehensive meta-analysis was therefore conducted to quantitatively assess the effects of long-term exposure to road traffic, railway, and aircraft noise on CVDs and relevant subtypes. We systematically retrieved PubMed, Embase, and Web of Science for articles published before April 4, 2022.

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Purpose: Reliable noninvasive method to preoperative prediction of extrahepatic cholangiocarcinoma (eCCA) angiogenesis are needed. This study aims to develop and validate machine learning models based on magnetic resonance imaging (MRI) for predicting vascular endothelial growth factor (VEGF) expression and the microvessel density (MVD) of eCCA.

Materials And Methods: In this retrospective study from August 2011 to May 2020, eCCA patients with pathological confirmation were selected.

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Formalin-fixed paraffin-embedded (FFPE) tissues constitute a vast and valuable patient material bank for clinical history and follow-up data. It is still challenging to achieve single cell/nucleus RNA (sc/snRNA) profile in FFPE tissues. Here, we develop a droplet-based snRNA sequencing technology (snRandom-seq) for FFPE tissues by capturing full-length total RNAs with random primers.

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Objectives: Talaromyces marneffei is an emerging pathogen, and the number of infections in HIV-negative individuals is rapidly increasing. Nevertheless, there is no sufficient comprehensive report on this issue, and awareness needs to be raised among clinicians.

Methods: We analyzed the differences in the clinical data of patients who are HIV-negative and HIV-positive with Talaromyces marneffei infection (TMI) from 2018 to 2022.

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Methyl jasmonate (MeJA) has been shown to induce autophagy in various plant stress responses and metabolic pathways. MYC2 is involved in MeJA-mediated postharvest fruit biological metabolism, but it is unclear how it affects MeJA-induced fruit autophagy. In this study, we noticed that silencing significantly reduced the increase in () expression induced by MeJA.

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We aimed to investigate the association of metabolic obesity phenotypes with all-cause mortality risk in a rural Chinese population. This prospective cohort study enrolled 15 704 Chinese adults (38·86 % men) with a median age of 51·00 (interquartile range: 41·00-60·00) at baseline (2007-2008) and followed up during 2013-2014. Obesity was defined by waist circumference (WC: ≥ 90 cm for men and ≥ 80 cm for women) or waist-to-height ratio (WHtR: ≥ 0·5).

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Aim: To investigate the association of remnant cholesterol (RC) with future type 2 diabetes mellitus (T2DM) risk, and to assess the underlying impact of some recognized risk factors on it.

Methods: A total of 11468 nondiabetic adults in rural China were recruited in 2007-2008 and followed up in 2013-2014. Logistic regression was used to assess the risk of incident T2DM by quartiles of baseline RC, estimating odds ratios (ORs) and 95% confidence intervals (CIs).

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