Publications by authors named "Wang Yong"

As modern communication and detection technologies advance at a swift pace, multifunctional electromagnetic interference (EMI) shielding materials with active/positive infrared stealth, hydrophobicity, and electric-thermal conversion ability have received extensive attention. Meeting the aforesaid requirements simultaneously remains a huge challenge. In this research, the melamine foam (MF)/polypyrrole (PPy) nanowire arrays (MF@PPy) were fabricated via one-step electrochemical polymerization.

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CO-to-CO electrolyzer technology converts carbon dioxide into carbon monoxide using electrochemical methods, offering significant environmental and energy benefits by aiding in greenhouse gas mitigation and promoting a carbon circular economy. Recent study by Strasser et al. in Nature Chemical Engineering presents a high-performance CO-to-CO electrolyzer utilizing a NiNC catalyst with nearly 100% faradaic efficiency, employing innovative diagnostic tools like the carbon crossover coefficient (CCC) to address transport-related failures and optimize overall efficiency.

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Submicron particulate matter (PM) can penetrate deeply into human tissue, posing a serious threat to human health. However, the electrostatic charge of commercial respirators is easily dissipated, making it difficult to maintain long-term filtration. Herein, a hierarchically porous filter based on nanofibers with accessible porosity and particulate-attractive surfaces, achieving significant filtration performance is developed through polarity-driven interactions.

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Gastric cancer remains a leading cause of cancer-related mortality worldwide. The prognosis often depends on early detection and understanding the molecular mechanisms involved in its progression. Periodic tryptophan protein 1 (PWP1) has emerged as a novel diagnostic marker, potentially linked to gastric cancer progression.

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Pd-based alloys are among the most attractive catalysts for direct alcohol fuel cells. However, their widespread use is limited by the high cost of Pd and their susceptibility to deactivation by surface-adsorbed reaction intermediates, particularly CO. In this study, we engineered an ultrathin 2D PdCr metallene to minimize Pd usage and doped it with phosphorus to enhance its CO tolerance.

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Radiosensitivity is critical for clinical outcomes and overall survival of prostate cancer patients treated with irradiation. Ribociclib and NU7026 have been reported as radiosensitizers in cancer cells, but which are inadequately understood in prostate cancer cells. The present study was performed to investigate the effects of ribociclib, NU7026, and their combination on the radiosensitivity of prostate cancer cells.

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Background: Percutaneous puncture procedures, guided by image-guided robotic-assisted intervention (IGRI) systems, are susceptible to disruptions in patients' respiratory rhythm due to factors such as pain and psychological distress.

Methods: We developed an IGRI system with a coded structured light camera and a binocular camera. Our system incorporates dual-pathway deep learning networks, combining convolutional long short-term memory (ConvLSTM) and point long short-term memory (PointLSTM) modules for real-time respiratory signal monitoring.

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Postoperative cognitive dysfunction (POCD) is a common cognitive challenge faced by older adults. One of the key contributors to the development of POCD is neuroinflammation induced by microglia. Resveratrol has emerged as a promising candidate for the prevention of cognitive decline.

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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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