Publications by authors named "Zheng Xie"

Background: Diabetes prevalence in China is significant, with a large proportion in the prediabetes stage. Dyslipidemia is associated with abnormal glucose metabolism, and the non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio (NHHR) shows potential in diabetes risk assessment, but its role in prediabetes progression is understudied.

Methods: A longitudinal study from 2011 to 2015 using CHARLS data was conducted.

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Background: Handheld augmented reality (HAR) offers a promising approach for nursing education, leveraging the affordability and portability of devices such as smartphones. However, its use in nursing education is still emerging, with many aspects yet to be fully explored.

Purpose: To explore the application of HAR technology in nursing education.

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Objective: This study aims to investigate the relationship between the atherogenic index of plasma (AIP) and diabetes risk in Chinese non-obese adults. This is important because the incidence of diabetes is significant in non-obese populations, and evidence regarding this association is limited.

Methods: We conducted a retrospective cohort study with 82,977 Chinese non-obese adults.

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Background: Fibromyalgia is a chronic condition marked by widespread pain and various accompanying symptoms. Compared to healthy individuals and other rheumatic disease patients, it leads to more severe symptoms and a lower quality of life. Whether fibromyalgia patients in a mild activity or remission stage still experience core symptoms remains unclear.

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Curcumin and bone marrow stem cells (BMSCs)-derived exosomes are considered to be useful for the treatment of many human diseases, including sepsis-associated acute kidney injury (SA-AKI). However, the role and underlying molecular mechanism of curcumin-loaded BMSCs-derived exosomes in the progression of SA-AKI remain unclear. Exosomes (BMSCs-EXO or BMSCs-EXO) were isolated from curcumin or DMSO-treated BMSCs, and then co-cultured with LPS-induced HK2 cells.

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Deep Convolutional Neural Networks (DCNNs), due to their high computational and memory requirements, face significant challenges in deployment on resource-constrained devices. Network Pruning, an essential model compression technique, contributes to enabling the efficient deployment of DCNNs on such devices. Compared to traditional rule-based pruning methods, Reinforcement Learning(RL)-based automatic pruning often yields more effective pruning strategies through its ability to learn and adapt.

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Article Synopsis
  • The study addresses challenges in reliable cancer screening due to complex serum constituents and limited knowledge of biomarkers.
  • An innovative biomarker-free serum-SERS technique utilizes three specially designed substrates to gather rich information from serum samples.
  • With the help of quadratic discriminant analysis (QDA), the method achieves an impressive 100% accuracy in diagnosing cancer in a sample of 122 out of 194 serum samples, demonstrating a promising advancement in cancer detection.
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Diethylhexyl phthalate (DEHP) is the most abundant phthalate compound in the environment, and has been linked with multiple human diseases. The immune system is closely associated with the occurrence and progression of various diseases. However, minimal research has addressed the impact of DEHP on the immune system.

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This study analyzed transcriptomic and proteomic data to identify molecular changes during heart failure (HF). Additionally,we embarked on an exploration of the prospect of therapeutic intervention through the manipulation of proteins implicated in ferroptosis. Three publicly available microarray datasets (GSE135055, GSE147236, GSE161472) profiling left ventricular samples from HF patients and healthy controls were obtained.

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Article Synopsis
  • - The study aims to investigate the mechanisms behind perioperative neurocognitive dysfunction (PND) after anesthesia and surgery by identifying key genes involved in this process.
  • - Researchers conducted experiments on mice to analyze the effects of surgery on gene expression and found 521 differentially expressed genes (DEGs), with four hub genes linked to cognitive decline associated with surgery.
  • - Results indicated that endoplasmic reticulum (ER) stress due to surgery contributes to cognitive impairment and neuroinflammation; preoperative treatment with Tauroursodeoxycholic acid (TUDCA) mitigated these effects by alleviating ER stress and inflammation.
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Article Synopsis
  • Myocardial infarction (MI) leads to significant changes in gene expression across different heart cell types, which can be studied using single-cell RNA sequencing (scRNA-seq) and bulk RNA sequencing (RNA-seq) data.
  • In the analysis, decreased endothelial cells and increased macrophages were observed in MI, along with unique fibroblast subgroups showing varied responses, while specific apoptotic and ferroptotic genes were significantly upregulated in this context.
  • The findings highlight alterations in cardiac cell transcription during MI, confirming endothelial cell depletion, increased apoptosis markers in macrophages, and distinct gene expression patterns linked to ferroptosis, providing insights into the molecular processes involved in heart injury.
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A comprehensive investigation has been carried out on a series of complexes of the type (N^N)Pt(-CC-Ar), where N^N represents diarylamino-substituted 2,2'-bipyridine (bpy) ligands and -CC-Ar refers to the substituted arylacetylide ligands. The introduction of trifluoromethyl and methoxy substituents to the phenylacetylide unit results in color tuning of the phosphorescence energy in these complexes. The bulky diarylamino substituents on the bipyridine ligand showed distinctive electronic properties, resulting in improved hole-transporting characteristics.

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Background: Chronic osteomyelitis poses a formidable challenge for orthopedic practitioners in clinical practice. Chimeric perforator flap is a commonly used repair method for chronic osteomyelitis. The purpose of this study was to compare the clinical efficacy of chimeric anterolateral thigh flap (C-ALTP) and chimeric thoracodorsal artery perforator flap (C-TDAP) for the treatment of chronic osteomyelitis.

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Abdominal aortic aneurysms (AAAs) are characterized by permanent dilatation of the abdominal aorta, which is accompanied by inflammation, degradation of the extracellular matrix (ECM) and disruption of vascular smooth muscle cell (VSMC) homeostasis. Endoplasmic reticulum (ER) stress is involved in the regulation of inflammation, oxidative stress and VSMC apoptosis, all of which are critical factors in AAA development. Although several studies have revealed the occurrence of ER stress in AAA development, the specific biological functions of ER stress in AAA development remain largely unknown.

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Article Synopsis
  • The study investigates the role of long noncoding RNA H19 in the growth and movement of vascular smooth muscle cells (VSMCs), which contribute to neointima formation and vascular restenosis.
  • Researchers used a mouse model and human VSMC cell lines, finding that overexpression of lncRNA H19 increased VSMC proliferation and migration.
  • It was revealed that lncRNA H19 interacts with miR-125a-3p, influencing the expression of FLT1, suggesting that targeting lncRNA H19 could offer new therapeutic strategies for preventing restenosis.
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The electronic structure of the strongly correlated electron system plutonium hexaboride is studied by using single-particle approximations and a many-body approach. Imaginary components of impurity Green's functions show that 5f and 5f manifolds are in conducting and insulating regimes, respectively. Quasi-particle weights and their ratio suggest that the intermediate coupling mechanism is applicable for Pu 5f electrons, and PuB might be in the orbital-selective localized state.

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Article Synopsis
  • Freezing of gait (FoG) is a debilitating symptom of Parkinson's disease that causes sudden stops in walking, making automated assessment a challenge due to the complexity of analyzing lengthy videos.
  • The researchers propose an innovative video-based method using a causality-enhanced graph convolutional network (GCN) to classify FoG into five categories by first segmenting videos into motion stages and then extracting features from shorter clips.
  • Experimental results show the method achieves a 62.72% accuracy on five-class FoG assessments and 91.32% accuracy on independent tests, offering effective localization of FoG events and potential for broader applications in analyzing fine-grained actions.
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Objective: To construct and validate the best predictive model for 28-day death risk in patients with septic shock based on different supervised machine learning algorithms.

Methods: The patients with septic shock meeting the Sepsis-3 criteria were selected from Medical Information Mart for Intensive Care-IV v2.0 (MIMIC-IV v2.

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Herein, we synthesized two donor-acceptor (D-A) type small organic molecules with self-assembly properties, namely MPA-BT-BA and MPA-2FBT-BA, both containing a low acidity anchoring group, benzoic acid. After systematically investigation, it is found that, with the fluorination, the MPA-2FBT-BA demonstrates a lower highest occupied molecular orbital (HOMO) energy level, higher hole mobility, higher hydrophobicity and stronger interaction with the perovskite layer than that of MPA-BT-BA. As a result, the device based-on MPA-2FBT-BA displays a better crystallization and morphology of perovskite layer with larger grain size and less non-radiative recombination.

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Although laser technology brings convenience to production and daily life, it also causes high-energy damage. Therefore, there is an urgent need to develop optical limiting materials for laser protection. In this study, a novel nonlinear optical material, red/black phosphorus lateral heterojunction, is successfully prepared through solvothermal and ultrasonic treatment.

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Increasing densities of reaction sites for gaseous reactants in solid oxide electrochemical reactors (SOERs), is a key strategy for achieving enhanced performance in either fuel cell or electrolysis modes. Fabrication of 3D structured components in SOERs can enhance those densities of reaction sites, which is achieved by 3D inkjet printing with high reproducibility, having developed inks with appropriate properties. First, the effects of pillar geometries on SOER performances are predicted through numerical simulations, enabling subsequent 3D printing to focus on the more effective geometries.

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Circular RNAs (circRNAs) have garnered significant attention in the field of neurodegenerative diseases including Alzheimer's diseases due to their covalently closed loop structure. However, the involvement of circRNAs in postoperative cognitive dysfunction (POCD) is still largely unexplored. To identify the genes differentially expressed between non-POCD (NPOCD) and POCD mice, we conducted the whole transcriptome sequencing initially in this study.

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Since acquiring perfect supervision is usually difficult, real-world machine learning tasks often confront inaccurate, incomplete, or inexact supervision, collectively referred to as weak supervision. In this work, we present WSAUC, a unified framework for weakly supervised AUC optimization problems, which covers noisy label learning, positive-unlabeled learning, multi-instance learning, and semi-supervised learning scenarios. Within the WSAUC framework, we first frame the AUC optimization problems in various weakly supervised scenarios as a common formulation of minimizing the AUC risk on contaminated sets, and demonstrate that the empirical risk minimization problems are consistent with the true AUC.

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First-principles calculations were performed on a plutonium and americium mixed oxide (PuAmO), aiming at revealing the effects of electron correlation, Pu/Am 5f-conduction electrons' hybridization, and relativity on its electronic properties. The many-body calculation suggests that the spin-orbit-coupling (SOC)-splitting of = 5/2 and = 7/2 manifolds are both in the weakly and moderately correlated states, respectively, implying that the coupling scheme is more appropriate for Pu/Am 5f electrons. The density of states, 5f occupation numbers, and Green's functions all suggest that both Pu and Am 5f electrons exhibit the coexistence of the localized and delocalized states.

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