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"Yao, Yue"
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Comparison of dark energy models after Planck 2015
We make a comparison for ten typical, popular dark energy models according to their capabilities of fitting the current observational data. The observational data we use in this work include the JLA sample of type Ia supernovae observation, the Planck 2015 distance priors of cosmic microwave background observation, the baryon acoustic oscillations measurements, and the direct measurement of the Hubble constant. Since the models have different numbers of parameters, in order to make a fair comparison, we employ the Akaike and Bayesian information criteria to assess the worth of the models. The analysis results show that, according to the capability of explaining observations, the cosmological constant model is still the best one among all the dark energy models. The generalized Chaplygin gas model, the constant
w
model, and the
α
dark energy model are worse than the cosmological constant model, but still are good models compared to others. The holographic dark energy model, the new generalized Chaplygin gas model, and the Chevalliear–Polarski–Linder model can still fit the current observations well, but from an economically feasible perspective, they are not so good. The new agegraphic dark energy model, the Dvali–Gabadadze–Porrati model, and the Ricci dark energy model are excluded by the current observations.
Journal Article
Novel CDK9 inhibitor oroxylin A promotes wild-type P53 stability and prevents hepatocellular carcinoma progression by disrupting both MDM2 and SIRT1 signaling
Hepatocellular carcinoma (HCC) is one of the most lethal tumours worldwide. However, the effects of first-line sorafenib treatment in advanced HCC fail to prolong patients’ survival due to the highly heterogeneous characteristics of HCC etiology. Cyclin-dependent kinase 9 (CDK9) is an important target in the continuous development of cancer therapy. Here, we demonstrate that CDK9 is closely associated with the progression of HCC and can serve as an HCC therapeutic target by modulating the recovery of wild-type p53 (wt-p53) function. We prove that mouse double minute 2 homologue (MDM2) and Sirtuin 1 (SIRT1) are phosphorylated by CDK9 at Ser166 and Ser47, respectively. Inhibition of CDK9 not only reduces the MDM2-mediated ubiquitination and degradation of wt-p53 but also increases wt-p53 stability by suppressing deacetylase activity of SIRT1. Thus, inhibition of CDK9 promotes the wt-p53 stabilization and prevents HCC progression. However, excessive inhibition by high concentrations of specific CDK9 inhibitors counteracts the promotion of p53 stability and reduces their anti-HCC activity because of extreme general transcription repression. The effects of a novel CDK9 inhibitor named oroxylin A (OA) from
Scutellaria baicalensis
are explored, with the results indicating that OA shows moderate and controlled inhibition of CDK9 activity and expression, and stabilizes wt-p53 by inhibiting CDK9-regulated MDM2 and SIRT1 signaling. These outcomes indicate the high therapeutic potential of OA against HCC and its low toxicity in normal tissue. This study demonstrates a novel mechanism for the regulation of wt-p53 by CDK9 and indicates that OA is a potential candidate for HCC therapy.
Journal Article
Attractive natural products with strained cyclopropane and/or cyclobutane ring systems
The strained cyclopropane and/or cyclobutane subunits occurred in many complex natural products including terpenoids, steroids and alkaloids. Natural products with cyclopropane and/or cyclobutane motifs not only furnished fascinating structures, but also exhibited versatile biological activities, such as cytotoxic, anti-HIM antimicrobial, antiviral, and immunosuppressive effects. This review covered a large array of structurally unique natural products with strained cyclopropane and/or cyclobutane motifs and summarized their structural features, distributions, biological activities, as well as biogenetic considerations.
Journal Article
Metal–Organic Frameworks Meet MXene: New Opportunities for Electrochemical Application
Over the past few decades, metal–organic frameworks (MOFs) have been recognized as the most attractive energy-involved materials due to their unique features, including ultrahigh specific surface area, superior porous structure, and excellent customizability. Nevertheless, most pristine MOFs suffer from low electronic conductivity and chemical instability, which severely hindered their large-scale applications. Recently, MXene with abundant surface terminations and high metallic conductivity have been suggested as a valid substrate to improve the stability and conductivity of pristine MOFs. Importantly, MXene/MOF composites with enhanced conductivity, rich surface chemistry, and hierarchical structure facilitate the rapid electron/ion transfer and deliver better electrochemical properties than that of original materials through synergistic effects. Moreover, MXene/MOF composites can be designed into various derivatives with desired architecture and enhanced electrochemical performance. Therefore, the elaborate synthesis of MXene/MOF hybrids and their derivatives for energy-involved devices are of great interest. Herein, we provided a state-of-the-art review on the progress of MXene/MOF composites and their derivatives in terms of synthesis strategies and electrochemical applications. Furthermore, we put forward current challenges and feasible research directions for future development.
Journal Article
Identification of 12 cancer types through genome deep learning
Cancer is a major cause of death worldwide, and an early diagnosis is required for a favorable prognosis. Histological examination is the gold standard for cancer identification; however, large amount of inter-observer variability exists in histological diagnosis. Numerous studies have shown cancer genesis is accompanied by an accumulation of harmful mutations, potentiating the identification of cancer based on genomic information. We have proposed a method, GDL (genome deep learning), to study the relationship between genomic variations and traits based on deep neural networks. We analyzed 6,083 samples’ WES (Whole Exon Sequencing) mutations files from 12 cancer types obtained from the TCGA (The Cancer Genome Atlas) and 1,991 healthy samples’ WES data from the 1000 Genomes project. We constructed 12 specific models to distinguish between certain type of cancer and healthy tissues, a total-specific model that can identify healthy and cancer tissues, and a mixture model to distinguish between all 12 types of cancer based on GDL. We demonstrate that the accuracy of specific, mixture and total specific model are 97.47%, 70.08% and 94.70% for cancer identification. We developed an efficient method for the identification of cancer based on genomic information that offers a new direction for disease diagnosis.
Journal Article
In Situ Synthesis of (Mo,Cr)Si2 Composites by Spark Plasma Sintering
This research investigated the impact of Cr content on the properties of (Mo,Cr)Si2 composites. Composites with CrSi2 molar fractions ranging from 0% to 10% were fabricated using spark plasma sintering (SPS). The study undertook a systematic analysis of the surface morphology, phase composition, mechanical properties, and high-temperature oxidation resistance of the sintered samples across different compositions. Notably, the (Mo95,Cr5)Si2 composite sintered at 1400 °C exhibited enhanced properties, including a Vickers hardness of 11.6 GPa, a fracture toughness of 4.6 MPa·m1/2, and a flexural strength of 397 MPa. Upon oxidation at 1500 °C, the (Mo,Cr)Si2 composites formed a protective oxide layer comprised of SiO2 and Cr2O3. It was found that the generation and thickening of the protective oxide layer was promoted by the addition of moderate amounts of Cr to MoSi2.
Journal Article
Comparision of the efficacy of photodynamic therapy and imiquimod cream in patients with actinic keratosis: a systematic review and meta-analysis
Actinic keratosis is a common precancerous epidermal skin lesion characterized by rough, scaly patches on sun-exposed areas due to chronic UV exposure, and it carries a risk of progressing to squamous cell carcinoma. Both photodynamic therapy and imiquimod cream have been proven to be effective therapeutic option for actinic keratosis. However, there is no comprehensive systematic review that compare the efficacy of the two treatments. We conducted a comprehensive search of literature to evaluate the efficacy of photodynamic therapy and imiquimod cream in treating actinic keratosis. Meta-analysis was performed using Review Manager 5.4 software. After the screening of 1144 studies and 11 reports, six randomized controlled trials with two evaluation indicators were included. Our meta-analysis indicated that photodynamic therapy, particularly 5-aminolevulinic acid photodynamic therapy, produced superior results than imiquimod cream when analysing the lesion clearance rate, and imiquimod treatment is more likely to cause adverse reactions such as ulceration/crusting compared to photodynamic therapy.
Journal Article
Computer-assisted rehabilitation system in the use of motor function recovery: A protocol for scoping review
Motor dysfunction, a prevalent sequela of neurological disorders such as stroke, Parkinson's disease, and cerebral palsy, profoundly compromises patients' capacity to perform daily activities and participate in social interactions. To address this challenge, computer-assisted rehabilitation systems (CARS) have emerged as innovative tools for facilitating motor function recovery. However, the rapid proliferation of diverse CARS modalities-encompassing novel technical approaches, interdisciplinary integrations, and heterogeneous clinical applications-has resulted in a fragmented and poorly delineated research landscape. This scoping review protocol aims to systematically map the current evidence, clarify conceptual boundaries, identify key research themes, and highlight critical knowledge gaps within the CARS field.
Following PRISMA-ScR guidelines, a comprehensive search across English (PubMed, Embase, Web of Science) and Chinese (CNKI, Wanfang, VIP, SinoMed) databases (inception to May 2025) will retrieve peer-reviewed studies using controlled vocabulary (MeSH: Rehabilitation/methods) and keywords (\"computer-assisted rehabilitation system*\"). After deduplication (EndNote X9) and manual verification, two reviewers will independently screen titles/abstracts and full texts, resolving discrepancies via third-party arbitration. Data extraction will categorize studies into study characteristics (design, population), technical specifications (sensors, AI), and clinical contexts (outcome measures, motor domains). Quantitative synthesis will map publication trends, geographic distributions, and methodological profiles using PRISMA diagrams and heatmaps. Thematic analysis will identify dominant research clusters (e.g., robotics, VR) and interdisciplinary linkages. Results will be disseminated via interactive evidence maps and narrative summaries emphasizing clinical translation. Any protocol deviations will be explicitly documented to ensure methodological transparency.
This review will synthesize the heterogeneous CARS field into a structured framework, guiding future research prioritization and clinical implementation. By delineating technical innovations, clinical efficacy, and knowledge gaps, findings aim to optimize rehabilitation strategies for neurological populations. Detail of this review project can be found in Open Science Framework: https://doi.org/10.17605/OSF.IO/HXDT8.
Journal Article
PtBiCoAgSn Multi-Component Alloy Electrocatalysts Enhancing the Oxidation of Ethylene Glycol to Value-Added C2 Products
Ethylene glycol oxidation (EGOR) transforms waste plastic-derived chemicals into high-value products, representing an upcycling strategy that enhances resource efficiency. Pt-based electrocatalysts have shown promise for oxidizing ethylene glycol (EG) to high-value glycolic acid (GA), but they still suffer from high Pt usage, limited activity and stability, and poor low-potential selectivity. In this work, we report a highly dispersed PtBiCoAgSn multi-component alloy (MCA) electrocatalyst (denoted as MCA-PtBiCoAgSn) with outstanding catalytic activity and deactivation resistance, demonstrating a remarkable EGOR mass activity of 16.65 A mgPt−1 at 0.76 V vs. RHE, which is 8-fold higher than that of commercial Pt/C (2.03 A mgPt−1). Also, it can maintain an EGOR current density of 4.89 A mgPt−1 after an extended long-term stability test. Additionally, it shows superior Faradaic efficiency (FE) for C2 products compared to Pt/C across the potential window of 0.5~0.9 V vs. RHE, with the FE of GA being up to 91% at a very low potential of 0.5 V vs. RHE. Moreover, in situ electrochemical infrared spectroscopy in a thin-layer configuration confirmed that EGOR proceeds via the C2 pathway on MCA-PtBiCoAgSn surfaces. This work may provide new insights into the design of high-efficiency and low-cost EGOR catalysts.
Journal Article