Publications by authors named "Pengcheng Xue"

Article Synopsis
  • Machine learning (ML) in lithium battery research is emerging as a powerful tool for discovering new materials and optimizing battery performance, but its effectiveness is heavily reliant on the quality of the data used.
  • Data related to lithium batteries presents challenges such as diversity, complexity, and limited samples, necessitating improved strategies for data processing including classification, dimensionality reduction, and the use of domain knowledge.
  • The study not only explores these strategies to enhance ML reliability in lithium batteries but also suggests their applicability to related fields like electrocatalysis and electrochemical corrosion, indicating a broader impact on various scientific domains.
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Aims: Cardiomyocyte apoptosis is an important factor leading to the occurrence and development of heart failure (HF), which is associated with high mortality of patients with cardiovascular diseases. This study aims to investigate the underlying mechanisms of HF in terms of expression and regulation patterns using bioinformatics and experimental validation.

Methods And Results: Two HF datasets were collected: a dataset GSE112056 downloaded from the GEO database (including mRNA and miRNA sequencing data) and another is the laboratory-owned mRNA dataset.

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Carnation (Dianthus caryophyllus L.) is a floral crop that is highly valuable commercially. However, high temperatures adversely affect its growth and the quality of its cut flowers.

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Plant heat shock protein 90 (Hsp90) participates in various physiological processes including protein folding, degradation, and signal transduction. However, the DcHsp90 gene family in carnation (Dianthus caryophyllus L.) has not been systematically analyzed.

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33 heat shock protein 20 (Hsp20) genes were identified from the carnation genome whose expression were altered by abiotic stresses. DcHsp17.8 may function to improve the heat resistance of Arabidopsis.

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The mevalonate (MVA) pathway serves an important role in ventricular remodeling. Targeting the MVA pathway has protective effects against myocardial fibrosis. The present study aimed to investigate the mechanism behind these effects.

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This article proposes frequency response function approximation method to identify mechanical parameters of fiber-reinforced composites. First, a fiber-reinforced composite thin plate is taken as a research object, and its natural characteristic and vibration response under pulse excitation are solved based on the Ritz method and mode superposition method, so that the theoretical calculation of frequency response function of such composite plates can be realized. Then, the identification principle based on frequency response function approximation method is illustrated and its correctness is validated by comparing with other published literature in the verification example, and the specific identification procedure is also proposed.

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Diabetic retinopathy (DR) is an increasing global health concern that causes vision loss and blindness. Reactive oxygen species (ROS) are considered to be a principal cause of DR. An important source of ROS is the oxidization of NADPH.

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Breast cancer is one of the most frequently diagnosed cancers in females worldwide and lacks specific biomarkers for early detection. In a previous study, we obtained a selective RNA-cleaving Fluorogenic DNAzyme (RFD) probe against MDA-MB-231 cells, typical breast cancer cells, through the systematic evolution of ligands by exponential process (SELEX). To improve the performance of this probe for actual application, we carried out a series of optimization experiments on the pH value of a reaction buffer, the type and concentration of cofactor ions, and sequence minimization.

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A novel type of nitrate removal process was investigated in this study, which coupled nitrate reduction by zero-valent iron(ZVI) with anaerobic ammonia oxidation(AMAMMOX). The zero-valent iron dosage was 71 g·L. The inoculation volume of ANAMMOX granular sludge was 200 mg·L.

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Ubiquitination proteasome pathway (UPP) is the most important and selective way to degrade proteins in vivo. Here, a novel proteolysis targeting peptide (PROTAP) strategy, composed of a target protein binding peptide, a linker and a ubiquitin E3 ligase recognition peptide, was designed to recruit both target protein and E3 ligase and then induce polyubiquitination and degradation of the target protein through UPP. In our study, the PROTAP strategy was proved to be a general method with high specificity using Bcl-xL protein as model target in vitro and in cells, which indicates that the strategy has great potential for in vivo application.

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