Publications by authors named "Yiming Wei"

Bo Li, a remarkable new species discovered from the summit of Tiantangzhai Peak of Dabie Mountains in Hubei Province, central China, is described and illustrated. Based on its spicate inflorescences, ciliate ocreae, and the absence of prickles, the species is placed in P.sect.

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The detection of miRNAs serving as key biomarkers in cancer diagnostics is challenging due to their small size, low abundance, and high sequence similarity, which complicates their sensitive and selective detection. Here, we report a biosensor that combines molecularly imprinted polymers (MIPs) with peptide nucleic acids (PNAs) to achieve a sensitive and highly selective miRNA detection in RNA isolates of cancer cells. MIPs were synthesized by electropolymerization utilizing PNA-supported and pre-oriented miR-21 templates molecules, which serve as both a linker for improved template orientation and an assistive recognition element for miRNA binding.

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Malaria, caused by the Plasmodium parasites, has always been one of the worst infectious diseases that threaten human health, making it necessary for us to study the genetic function and physiological mechanisms of Plasmodium parasites from the molecular level to find more effective ways of addressing the increasingly pressing threat. The CRISPR (Clustered regularly interspaced short palindromic repeats)-Cas (CRISPR-associated protein) is an RNA-guided adaptive immune system, which has been extensively developed and used as a genome editing tool in many organisms, including Plasmodium parasites. However, due to the physiological characteristics and special genomic characteristics of Plasmodium parasites, most of the tools currently used for genome editing of Plasmodium parasites have not met expectations.

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Disentangled ultra-high-molecular-weight polyethylene (-UHMWPE) solves the problem of the difficult processing of traditional UHMWPE caused by entanglements between molecular chains. In this review, we look into the innovative realm of nascent disentangled UHMWPE, concentrating on the recent advances achieved through the in situ polymerization of ethylene by single-site catalysts. The effect of single-site catalysts and polymerization conditions on the molecular characteristics is discussed in detail from the perspective of mechanism and DFT calculations.

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Porcine epidemic diarrhea virus (PEDV) is a significant pathogen affecting swine, causing severe economic losses worldwide. This study explores the regulatory role of miRNA-328-3p to ZO-1 expression and its impact on PEDV proliferation via the PLC-β1-PKC pathway in IPEC-J2 cells. We found that miRNA-328-3p can target ZO-1, influencing its expression and subsequently affecting the integrity of tight junctions in the cells.

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Shengmai San (SMS) is a traditional Chinese medicine formula used for supplementing and and can mitigate symptoms related to malignant arrhythmia and heart failure. This systematic review aimed at exploring the effectiveness and safety of SMS for viral myocarditis (VMC). Eight databases from their inception to June 2023 were searched to identified randomized controlled trials (RCTs) focusing on SMS for VMC.

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Porcine epidemic diarrhea virus (PEDV) induces enteritis and diarrhea in piglets. Mitochondrial DNA (mtDNA) contributes to virus-induced inflammatory responses; however, the involvement of inflammasomes in PEDV infection responses remains unclear. We investigated the mechanism underlying inflammasome-mediated interleukin (IL)-1β secretion during the PEDV infection of porcine intestinal epithelial (IPEC-J2) cells.

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The proceeding of electrochemical CO reduction reaction (CORR) requires the formation of active hydrogen species for CO protonation, while traditional catalysts fail to balance the rate of hydrogen supply and CO protonation. Herein, we propose a "hydrogen on demand" mechanism, in which the polarity of the adsorbed CO is enhanced to allow the capture of hydrogen from water without forming free hydrogen species, realizing the matching rate of hydrogen supply and CO protonation. As a proof of concept, we construct Zn-N sites modified by Se atoms, allowing the proceeding of CORR under the "hydrogen on demand" mechanism with superior efficiency.

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Inorganic layered compounds are an important part of organic-inorganic functional nanocomposites and offer plentiful opportunities and possibilities for synthesizing new-style multifunctional materials because they could be intercalated, exfoliated, and swollen. In recent years, as inorganic layered materials with photoluminescence, layered rare earth hydroxides (LRHs) have been extensively studied. Due to their rich functionalization ways, they have been applied or shown potential application value in many fields such as pollution detection, biomedicine, photoelectric energy storage, and so on.

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Recent phenomena such as pandemics, geopolitical tensions, and climate change-induced extreme weather events have caused transportation network interruptions, revealing vulnerabilities in the global supply chain. A salient example is the March 2021 Suez Canal blockage, which delayed 432 vessels carrying cargo valued at $92.7 billion, triggering widespread supply chain disruptions.

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Metallocene catalysts have attracted much attention from academia and industry for their excellent catalytic activity in the field of olefin polymerization. Cocatalysts play a key role in metallocene catalytic systems, which can not only affect the overall catalytic activity, but also have an obvious influence on the structure and properties of the polymer. Although methylaluminoxane (MAO) is currently the most widely used cocatalyst, its price increases the production cost of polyolefin materials.

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The large-scale application of hydrogen steelmaking technology is expected to substantially accelerate the decarbonization process of the iron and steel industry. However, hydrogen steelmaking projects are still in the experimental or demonstration stage, and scientific investment decision-making methods are urgently needed to support the large-scale development of the technology. When assessing the investment value, existing studies usually only consider the intrinsic project value under a specific pathway, while ignoring the option value under realistic multiple uncertainties in terms of technology, market, and policy, leading to an underestimation of the investment value.

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Article Synopsis
  • * This study suggests strategies that balance national climate goals with local economic benefits, aiming for fairness across regions while minimizing financial losses.
  • * Focusing on China, the research shows that these tailored strategies might prevent up to 1.54% in GDP losses and benefit over 90% of regions compared to either existing targets or a uniform approach to reaching peak carbon emissions by 2030.
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Although genome-wide association studies have identified multiple Alzheimer's disease (AD)-associated loci by selecting the main effects of individual single-nucleotide polymorphisms (SNPs), the interpretation of genetic variance in AD is limited. Based on the linear regression method, we performed genome-wide SNP-SNP interaction on cerebrospinal fluid Aβ to identify potential genetic epistasis implicated in AD, with age, gender, and diagnosis as covariates. A GPU-based method was used to address the computational challenges posed by the analysis of epistasis.

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Limiting climate change to 1.5°C and achieving net-zero emissions would entail substantial carbon dioxide removal (CDR) from the atmosphere by the mid-century, but how much CDR is needed at country level over time is unclear. The purpose of this paper is to provide a detailed description of when and how much CDR is required at country level in order to achieve 1.

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China proposed a target to achieve carbon neutrality before 2060. Wind power is crucial for mitigating climate change and achieving carbon neutrality. However, its development depends on the potential constraints of rare-earth elements.

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Many clinical applications require medical image harmonization to combine and normalize images from different scanners or protocols. This paper introduces a Transformer-based MR image harmonization method. Our proposed method leverages the self-attention mechanism of the Transformer to learn the complex relationships between image patches and effectively transfer the imaging characteristics from a source image domain to a target image domain.

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Ethnopharmacological Relevance: Sepsis-induced lung injury is closely associated with it remarkable morbidity and mortality. Shenhuangdan (SHD) decoction, a traditional Chinese medicine prescription, has been clinically proven to be an effective treatment for sepsis. However, the mechanism of SHD decoction in treating sepsis remains unclear.

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Alzheimer's disease (AD) is the main cause of dementia worldwide, and the genetic mechanism of which is not yet fully understood. Much evidence has accumulated over the past decade to suggest that after the first large-scale genome-wide association studies (GWAS) were conducted, the problem of "missing heritability" in AD is still a great challenge. Epistasis has been considered as one of the main causes of "missing heritability" in AD, which has been largely ignored in human genetics.

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Aim: Porphyromonas gingivalis (P. gingivalis), a major periodontal pathogen, increases the risk of systemic diseases. P.

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To achieve carbon neutrality (i.e., net zero carbon emissions) by 2060, China must make significant changes in its socioeconomic systems, including appropriately allocating emissions responsibility.

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Fe-catalyzed difunctionalization of aryl titanates via double C-H activation has been developed, where aryl titanates were arylated via C-H activation, followed by electrophilic trapping of the C-Ti bond. The C-H arylation should be promoted by a 1,2-Fe/Ti synergistic heterobimetallic arylene intermediate and represents an C-H ferration directed by a readily transformable C-Ti group. Common benzamides, esters, and nitriles function as arylating reagents, which involves another C-H activation directed by these functionalities.

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The imbalanced data makes the machine learning model seriously biased, which leads to false positive in screening of therapeutic drugs for breast cancer. In order to deal with this problem, a multi-model ensemble framework based on tree-model, linear model and deep-learning model is proposed. Based on the methodology constructed in this study, we screened the 20 most critical molecular descriptors from 729 molecular descriptors of 1974 anti-breast cancer drug candidates and, in order to measure the pharmacokinetic properties and safety of the drug candidates, the screened molecular descriptors were used in this study for subsequent bioactivity, absorption, distribution metabolism, excretion, toxicity, and other prediction tasks.

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Threatening the global community is a wide variety of potential threats, most notably invasive pest species. Invasive pest species are non-native organisms that humans have either accidentally or intentionally spread to new regions. One of the most effective and first lines of control strategies for controlling pests is the application of insecticides.

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