Publications by authors named "Yong Wang"

Developing ethanol oxidation electrocatalysts with high catalytic activity, durability, and resistance to CO poisoning remains a major challenge. High-entropy alloys (HEAs) with unique physical and chemical properties have garnered substantial attention. Herein, a class of HEA nanodendrites are designed by a simple wet-chemical method.

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Objective: Despite treatments which reduce relapses in multiple sclerosis (MS), many patients continue to experience progressive disability accumulation. MS is associated with metabolic disruptions and cerebral metabolic stress predisposes to tissue injury and possibly impaired remyelination. Additionally, myelin homeostasis is metabolically expensive and reliant on glycolysis.

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Introduction: As research advances in vascularized composite allotransplantation (VCA), large animal models are essential for translational studies related to immune rejection and graft survival. However, procurement of large flaps can cause significant defects, complicating wound closure and increasing postoperative risks. This study details the surgical techniques and outcomes of autologous vertical rectus abdominis myocutaneous (VRAM) flap transplantation and neck flap isolation with induced ischemia in a swine model.

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Two unprecedented sesquiterpene and monoterpene heterodimers and ten previously undescribed sesquiterpenoids, artemordosins A-L (1-12), as well as ten known sesquiterpenoids (13-22), were obtained from Artemisia ordosica. Their structures were elucidated based on comprehensive analyses of NMR, IR, HRESIMS, GIAO NMR calculations with DP4+ probability analysis, and ECD calculations. Notably, artemordosins A and B (1 and 2) were the first examples of cadinane-monoterpene dimers, and artemordosin A (1) was a cadinane-myrceane heterodimer with a 6/6/6/6 ring system formed by [4 + 2] cycloaddition, while artemordosin B (2) was a 4,5-seco-cadinane-artemisane dimer connected through a C-5-O-C-4' linkage.

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Background: Over the past 2 decades, lidocaine's application in oncologic surgery has received significant attention. It has potential antitumor effects and acts as a chemosensitizer. The aim of this study is to analyze the process and frontiers of lidocaine application in oncologic surgery over the past 20 years.

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We present flow matching for reaction coordinates (FMRC), a novel deep learning algorithm designed to identify optimal reaction coordinates (RC) in biomolecular reversible dynamics. FMRC is based on the mathematical principles of lumpability and decomposability, which we reformulate into a conditional probability framework for efficient data-driven optimization using deep generative models. While FMRC does not explicitly learn the well-established transfer operator or its eigenfunctions, it can effectively encode the dynamics of leading eigenfunctions of the system transfer operator into its low-dimensional RC space.

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Background: Prostate cancer (PCa) has emerged as one of the most common malignancies among men globally. However, its pathogenesis, clinical features, and treatment responses in younger patients (aged 60 years or below) remain underexplored. This study aims to evaluate the distinctive clinical features, treatment strategies, and oncological outcomes of PCa in men aged 60 years or younger over a 10-year period at a single urological center.

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Chemo-dynamic therapy (CDT) has a great potential in tumor extirpation. It entails producing hypertoxic reactive oxygen species (ROS) that damage the DNA of tumor cells and other biomacromolecules. However, the efficiency of CDT is severely hampered by the massive presence of glutathione (GSH) in tumor cells and the interference of ROS defense systems, such as Mutt homolog 1 (MTH1) protein sanitizes ROS-oxidized nucleotide pools.

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Background: Dyslipidemia is a common comorbidity in patients with cancer, yet the impact of abnormal lipid levels on tumor prognosis remains contentious. This study was conducted to synthesize the current evidence regarding the prognostic utility of blood lipid levels, including high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), total cholesterol (TC), triglycerides (TG), apolipoprotein A1 (ApoA1), and apolipoprotein B (ApoB), in predicting overall survival (OS) and disease-free survival (DFS) in cancer patients.

Methods: A comprehensive literature search was performed across electronic databases to assess the associations between blood lipid levels and OS or DFS in cancer patients.

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Stabilization of cereblon (CRBN)/neosubstrate complexes with molecular glues followed by degradation of those neosubstrates is an emerging strategy in drug discovery with compelling potential to target certain proteins that were previously considered to be undruggable. In this context, the discovery of novel CRBN ligands is an important area of ongoing research that holds promise to expand the scope of proteins that can be targeted through this mode of action. Herein, we describe the synthesis and evaluation of CRBN ligands featuring heteroaryl glutarimide and dihydrouracil scaffolds.

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Among the existing research on the treatment of disorders of consciousness (DOC), deep brain stimulation (DBS) offers a highly promising therapeutic approach. This comprehensive review documents the historical development of DBS and its role in the treatment of DOC, tracing its progression from an experimental therapy to a detailed modulation approach based on the mesocircuit model hypothesis. The mesocircuit model hypothesis suggests that DOC arises from disruptions in a critical network of brain regions, providing a framework for refining DBS targets.

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The randomized phase 3 CHART trial (NCT03520478) revealed that rezvilutamide (REZ) plus androgen deprivation therapy (ADT) in high-volume, metastatic, hormone-sensitive prostate cancer (mHSPC) significantly enhanced radiographic progression-free and overall survival than bicalutamide (BIC)-ADT. Accordingly, we examined patient-reported outcomes (PROs) results, which were exploratory endpoints in the CHART trial. The patients were randomly allocated to receive REZ-ADT or BIC-ADT in a 1:1 ratio.

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Emerging evidence highlights certain long noncoding RNAs (lncRNAs) transcribed from or interacting with super-enhancer (SE) regulatory elements. These lncRNAs, known as SE-lncRNAs, are strongly linked to cancer and regulate cancer progression through multiple interactions with downstream targets. The expression of SE-lncRNAs is controlled by various transcription factors (TFs), and dysregulation of these TFs can contribute to cancer development.

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Although adeno-to-squamous transition (AST) has been observed in association with resistance to epidermal growth factor receptor (EGFR) tyrosine kinase inhibitor (TKI) in clinic, its causality, molecular mechanism and overcoming strategies remain largely unclear. We here demonstrate that squamous transition occurs concomitantly with TKI resistance in PC9-derived xenograft tumors. Perturbation of squamous transition via DNp63 overexpression or knockdown leads to significant changes in TKI responses, indicative of a direct causal link between squamous transition and TKI resistance.

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Interferometric Synthetic Aperture Radar (InSAR) is a widely used remote sensing technology for Earth observation, enabling the detection and measurement of ground deformation through the generation of interferograms. However, phase noise remains a critical factor that degrades interferogram quality. To address this issue, this study proposes MOMFNet, a deep learning approach for InSAR phase filtering based on multi-objective multi-kernel feature extraction that leverages multi-objective multi-kernel feature extraction.

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Prolactin (PRL) plays a key role in the growth and ovulation of animal follicles, but its impact on follicular recruitment in ewes remains uncertain. In this study, a total of sixteen healthy ewes (Hu sheep, aged 2-3 years, with continuous reproduction and housed separately), matched for parity and weight (52.98 ± 0.

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Dual-comb photoacoustic spectroscopy (DC-PAS) advances spectral measurements by offering high-sensitivity and compact size in a wavelength-independent manner. Here, we present a novel cantilever-enhanced DC-PAS scheme, employing a high-sensitivity fiber-optic acoustic sensor based on an optical cantilever and a non-resonant photoacoustic cell (PAC) featuring a flat-response characteristic. The dual comb is down-converted to the audio frequency range, and the resulting multiheterodyne sound waves from the photoacoustic effect, are mapped into the response frequency region of the optical cantilever microphone.

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Introduction: As the scale of cultivation expands, challenges such as substrate shortages and rising production costs in mushroom cultivation have become increasingly prominent. Fruit tree pruning residue has the potential to serve as an alternative substrate, offering a sustainable solution. This study evaluates the feasibility of incorporating various types of fruit tree pruning residues into cultivation.

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Background: Cerebral ischemia-reperfusion injury (CIRI) is a key pathophysiological process that leads to stroke mortality, with TLR4-mediated inflammation playing a crucial role. Our previous research highlighted the neuroprotective effects of the phytoestrogen calycosin on CIRI, although the precise mechanism remains unclear. This study aimed to explore the effects of calycosin on the HMGB1/TLR4/NF-κB signaling pathway in rat models of CIRI, both in vivo and in vitro.

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This study introduces a ground-breaking approach, the Whale Optimization Algorithm (WOA)-based multivariate exponential smoothing Grey-Holt (GMHES) model, designed for electricity price forecasting. Key features of the proposed WOA-GMHES(1,N) model include leveraging historical data to comprehend the underlying trends in electricity prices and utilizing the WOA algorithm for adaptive optimization of model parameters to capture evolving market dynamics. Evaluating the model on authentic high- and low-voltage electricity price data from Cameroon demonstrates its superiority over competing models.

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Objective: To investigate pregnancy outcomes following hysteroscopic adhesiolysis (HA) in patients with recurrent pregnancy loss (RPL) or infertility.

Design: Retrospective cohort study.

Setting: University-affiliated hospital.

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Producing crystalline covalent organic framework (COF) films is intimately related to the elusive nucleation and growth processes, which is desirable for efficient molecular transport. Rational control over these processes and insights into the mechanisms are crucial to improve synthetic methodology and achieve COF films with regular channels. Here, we report the controllable synthesis of COF films via the temperature-swing strategy and explore their crystallization from monomer assemblies to film formation.

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Ischemic stroke has a high disability rate, which leads to irreversible neuronal death. The efficacy of conventional stroke treatments, including thrombolytic and neuroprotective therapies, is constrained by a number of factors, including safety concerns and inefficient drug delivery. The advent of nanomaterials has created new avenues for stroke therapy, facilitating enhanced pharmacokinetic behavior of drugs, effective drug accumulation at the target site, augmented therapeutic efficacy, and concomitant reduction in side effects.

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Achieving scar-free skin regeneration in clinical settings presents significant challenges. Key issues such as the imbalance in macrophage phenotype transition, delayed re-epithelialization, and excessive proliferation and differentiation of fibroblasts hinder wound healing and lead to fibrotic repair. To these, we developed an active shrinkage and antioxidative hydrogel with biomimetic mechanical functions (P&G@LMs) to reshape the healing microenvironment and effectively promote skin regeneration.

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