Publications by authors named "Xin Xiong"

In end-stage osteoarthritis, total joint arthroplasty (TJA) represents the definitive therapeutic intervention. Cefuroxime, a second-generation cephalosporin, exhibits a broad spectrum of activity against both Gram-negative and Gram-positive microorganisms, making it a cornerstone of surgical antimicrobial prophylaxis (SAP) to mitigate prosthetic joint infection (PJI) risk. However, the escalating demand for revision arthroplasties has paralleled rising implant-associated infections, necessitating target-site pharmacokinetic optimization to ensure effective antibiotic exposure at the bone-implant interface.

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() is widely recognized for its bioactive compounds and associated health benefits. However, due to its delicate nature, conventional chilled storage often results in the rapid degradation of valuable compounds, leading to loss of nutritional value and overall quality. This study integrated and evaluated comprehensive strategies: three gas-conditioning and two light-based preservation methods for maintaining both quality and nutritional integrity during 12-day chilled storage at 4 °C.

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Semi-supervised medical image segmentation is essential for alleviating the cost of manual annotation in clinical applications. However, existing methods often suffer from unreliable pseudo-labels and confirmation bias in consistency-based training, which can lead to unstable optimization and degraded performance. To address these issues, a novel method named dual-Student adversarial framework with discriminator and consistency-driven learning for semi-supervised medical image segmentation is proposed.

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Background: Optimization algorithms provide robust analytical frameworks for assessing hepatocellular carcinoma (HCC) pharmacokinetics based on dynamic positron emission tomography/computed tomography (PET/CT) scans. The aim of this study was to assess the role of estimating HCC pharmacokinetics from PET/ CT scans via the Bayesian optimization (BO) method and the dual-phase (DP) and multiobjective (MO) strategies into BO (DPMO-BO) method.

Methods: Five-minute dynamic and one-minute static PET/CT imaging data derived from 27 HCC tumors were used to estimate kinetic parameters via a double-input three-compartment model.

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Objectives: This study examined the occurrence of specific oral activities across different temporomandibular disorder (TMD) subtypes and explored the associations of oral behaviours with psychological distress, sleep propensity and jaw function. Additionally, it identified the sociodemographic and biopsychosocial determinants of high jaw overuse behavior (JOB) in TMD patients.

Methods: Participants from a dental hospital completed a comprehensive survey covering sociodemographics, the Symptom Questionnaire and relevant psychosocial/behavioural measures of the Diagnostic Criteria for TMDs (DC/TMD), as well as the Epworth Sleepiness Scale.

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Data augmentation (DA) is widely employed to improve the generalization performance of deep models. However, most existing DA methods employ augmentation operations with fixed or random magnitudes throughout the training process. While this fosters data diversity, it can also inevitably introduce uncontrolled variability in augmented data, which could potentially cause misalignment with the evolving training status of the target models.

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In polycyclic heteroaromatic (PHA) emitters, which possess great potential for application in ultrahigh-definition displays, the origin of a small singlet-triplet energy gap (ΔE) and its relationship with the molecular structure still remain poorly established. Here we derive an effective expression for ΔE, in which ΔE positively depends on 2K (where K is the exchange energy between the highest occupied molecular orbital and the lowest unoccupied molecular orbital (LUMO)) and on the energy gap between LUMO and LUMO + 1 (ΔE). This expression for ΔE is validated over a series of 100 reported PHA emitters.

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Background: We aimed to explore the regulatory gene associated with O-GlcNAcylation in oral squamous cell carcinoma (OSCC) and the underlying mechanism.

Methods: The publicly available gene expression datasets (GSE23558 and GSE25099) were downloaded from Gene Expression Omnibus database. Differentially expressed genes (DEGs) between tumor and controls were identified by limma package.

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Objective: To evaluate the quality of adverse event (AE) reporting and identify factors associated with reporting quality in randomized controlled trials (RCTs) of temporomandibular disorders (TMDs) treatment.

Methods: We searched MEDLINE, Cochrane Library (CENTRAL), and EMBASE for RCTs on TMD treatment. Trial characteristics and AE data were extracted, with specific AEs classified using System Organ Class (SOC) terminology.

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This cross-sectional study investigated the psychosocial and behavioral characteristics of young Chinese Temporomandibular Disorders (TMD) patients, relationships between pain intensity, depression, anxiety, oral behaviors, jaw function, and Oral Health-related Quality of Life (OHRQoL), as well as factors contributing to low OHRQoL. Youths aged 15 to 24 years were enrolled at a tertiary dental hospital. Participants were evaluated using the Diagnostic Criteria for TMDs Axis I protocol and Axis II measures, including the Patient Health Questionnaire-9, General Anxiety-7, Oral Behaviors Checklist, and Jaw Functional Limitation Scale-8.

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Objectives: As machine learning and prediction model research grows in popularity, researchers may be tempted to exaggerate the value of their models through misleading reporting (spin) or statistical manipulation (hacking). This study assessed spin and potential hacking in machine learning-based prediction model studies in dentistry.

Methods: Six databases were searched to identify studies published up to October 12, 2024.

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Long COVID poses a significant disease burden globally, but its heterogeneous presentation and unreliable coding practices render it difficult to study. Developing efficient phenotyping algorithms is crucial to enabling risk prediction and effective management of Long COVID. We introduce the LAbel-efficienT Long COVID pHenotyping (LATCH) algorithm, which synthesizes a small number of gold-standard labels and a large, unlabeled dataset with many electronic health record (EHR) features.

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Cytoskeletal integrity is a critical determinant of postmortem cellular stability in muscle tissues, yet its regulatory role in initiating cell death remains poorly defined. In this study, we applied integrated 4D proteomics, immunofluorescence, and Western blotting to investigate cytoskeletal disassembly and programmed cell death pathways in refrigerated grass carp (Ctenopharyngodon idellus) muscle. Results showed that actin-myosin complex dissociation and the upregulation of remodeling proteins (CFL2, TWF2, ARPC4) occurred prior to the activation of apoptosis-related proteins (CAPN1, UCHL1) and cytochrome c release.

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Background/aim: Mineralized allogeneic bone substitutes are ideal biomaterials for bone regeneration in surgeries. Moreover, they are also suitable for releasing antibiotics, delivering initial concentrations many times higher than the minimal inhibitory concentration for relevant bacterial strains, without delaying bone formation. In the present study, the potential of sustained-release long-term antibiotic delivery using allografts was investigated.

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Background: There are limited studies on the number of Temporomandibular disorders (TMD) symptoms affecting oral health-related quality of life (OHRQoL) in large community populations. Furthermore, there is a lack of comparative studies between different TMD subtypes.

Objective: The aim was to explore the relationship between OHRQoL and the number of TMD symptoms in a community-based population.

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This study combined the material flow analysis and complex network analysis to construct a hazardous waste metabolic network in a mega city, Chengdu, from 2019 to 2022. Based on the indicators such as network density, degree centrality, intensity centrality and network stability, the evolution of the metabolic network were investigated. The impact of policy regulation on the network was further examined in terms of network connectivity and availability.

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Pyrimidine intermediates, essential components of DNA/RNA, serve as energy transducers and signaling mediators in cellular communication pathways. However, research on pyrimidine metabolism in acute kidney injury (AKI) is hindered by the limited variety of metabolites and poorly understood underlying mechanisms. To date, no liquid chromatography coupled to mass spectrometry (LC-MS) method has achieved comprehensive coverage of pyrimidine metabolism.

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Background: Temporomandibular disorders (TMDs) are multifactorial conditions with diverse clinical presentations, making standardised treatment approaches difficult to establish. Despite an increasing number of randomised controlled trials (RCTs) globally, methodological inconsistencies and research waste remain significant obstacles to evidence integration.

Objective: This study systematically analysed 103 TMDs-related RCTs registered on ClinicalTrials.

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Objective: To investigate the feasibility of accelerated MRI with artificial intelligence-assisted compressed sensing (ACS) technique in the temporomandibular joint (TMJ) and compare its performance with parallel imaging (PI) protocol and standard (STD) protocol.

Materials And Methods: Participants with TMJ-related symptoms were prospectively enrolled from April 2023 to May 2024, and underwent bilateral TMJ imaging examinations using ACS protocol (6:08 min), PI protocol (10:57 min), and STD protocol (13:28 min). Overall image quality and visibility of TMJ relevant structures were qualitatively evaluated by a 4-point Likert scale.

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Introduction: Temporomandibular disorders (TMD) are a group of orofacial conditions characterized by pain and dysfunction of the temporomandibular joint (TMJ) and surrounding musculature. Imaging plays a crucial role in diagnosis and treatment planning. However, educational content on TMD imaging in medical and dental curricula has lagged behind recent technological advances.

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Objective: The concept of oral health-related quality of life (OHRQoL) has gained significant attention, and self-rated oral health (SROH)-a brief measure to evaluate oral health-has been reported to correlate with OHRQoL. The relationship between education and OHRQoL has shown divergent findings. This study aims to investigate the relationship among education, SROH and OHRQoL.

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Nickel, as a toxic trace element in fine particulate matter (PM), has detrimental effects on both air quality and human health. Based on measurements from 2020 to 2021 using a single-particle aerosol mass spectrometer (SPAMS), this study investigates the properties of nickel-containing particles (NCPs) in Guangzhou. The composition, sources, and temporal trends of NCPs were evaluated and the impact of the clean ship fuel policy introduced in 2020 was also examined.

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Objective: To retrospectively evaluate the association between clinical features and long-term radiographic progression in temporomandibular joint (TMJ) degenerative joint disease (DJD).

Methods: We included 198 TMJs from 104 patients diagnosed with DJD (119 TMJs) or indeterminate DJD (79 TMJs). These patients underwent an initial cone beam computed tomography (CBCT) scan and at least one follow-up CBCT scan at least 1 year later.

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Objectives: This study aims to explore the potential association among cyberchondria, self-reported temporomandibular disorders (TMDs), somatic symptoms and anxiety, and verify the chain mediating effect of somatic symptoms and anxiety between cyberchondria and self-reported TMDs.

Methods: A cross-sectional study was conducted among community dwellers. A total of 531 participants, ranging in age from 18 to 50 years, were included.

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