Key Link Research Articles

Research on Typical Fault Diagnosis of Gear based on GHM Multiwavelet Transform and MCKD Algorithm

Background: Gear is the key part of the transmission part of mechanical equipment, which has a high failure rate under complex working conditions or long-term operation, directly affecting the reliability of mechanical equipment. To realize online monitoring of gears and predict gear faults, whether the diagnosis of typical gear faults is accurate and timely is a key link, so it is necessary to study the diagnosis of typical gear faults. Objective: This paper aims to propose a method that can effectively diagnose typical faults of gears and is easy to program, which is beneficial to realize online monitoring of rotating machinery equipment faults. Method: A typical gear fault diagnosis method based on GHM multiwavelet transform and maximum correlation kurtosis deconvolution algorithm (MCKD) is proposed in this paper. The measured vibration signal is decomposed into components with multiple scale spaces and frequency bands through the GHM multiwavelet transform. Then, the MCKD algorithm is run to suppress the noise of GHM multiwavelet transform coefficients, and the periodic components containing fault information are retained and reconstructed. The typical faults such as gear pitting and broken teeth are tested. Results: GHM multiwavelet transform combined with MCKD algorithm can accurately locate the frequency band containing fault information from the vibration signal with multiple modulations, double sideband, and multi-frequency interference and effectively extract the fault frequency and its frequency multiplication. The root means a square error of the extracted fault frequency is 0.08. This method has a good noise suppression effect and high accuracy in extracting fault frequency. Conclusion: The method proposed in this paper is helpful in realizing automatic programming of gear fault diagnosis and is of great significance in realizing real-time monitoring and online diagnosis of rotating machinery equipment faults. More related patents will appear in the future.

A Comprehensive Review on Biotransformation, Interaction, and Health of Gut Microbiota and Bioactive Components.

The relationship between gut microbiota and bioactive components has become the research focus in the world. We attempted to clarify the relationship between biotransformation and metabolites of gut microbiota and bioactive components, and explore the metabolic pathway and mechanism of bioactive ingredients in vivo, which will provide an important theoretical basis for the clinical research of bioactive ingredients and rationality of drugs, and also provide an important reference for the development of new drugs with high bioavailability. The related references of this review on microbiota and bioactive components were collected from both online and offline databases, such as ScienceDirect, PubMed, Elsevier, Willy, SciFinder, Google Scholar, Web of Science, Baidu Scholar, SciHub, Scopus, and CNKI. This review summarized the biotransformation of bioactive components under the action of gut microbiota, including flavonoids, terpenoids, phenylpropanoids, alkaloids, steroids, and other compounds. The interaction of bioactive components and gut microbiota is a key link for drug efficacy. Relevant research is crucial to clarify bioactive components and their mechanisms, which involve the complex interaction among bioactive components, gut microbiota, and intestinal epithelial cells. This review also summarized the individualized, precise, and targeted intervention of gut microbiota in the field of intestinal microorganisms from the aspects of dietary fiber, microecological agents, fecal microbiota transplantation, and postbiotics. It will provide an important reference for intestinal microecology in the field of nutrition and health for people. To sum up, the importance of human gut microbiota in the research of bioactive components metabolism and transformation has attracted the attention of scholars all over the world. It is believed that with the deepening of research, human gut microbiota will be more widely used in the pharmacodynamic basis, drug toxicity relationship, new drug discovery, drug absorption mechanism, and drug transport mechanism in the future.

The role and mechanism of the zinc finger gene ZNF580 in foam cell formation

Coronary atherosclerotic heart disease is an important threat to human health. The pathological basis is atherosclerosis, and foam cell formation is the key link in the initiation of atherosclerosis. Here, foam cell models were established using 50 ng/ml oxidized low-density lipoprotein (ox-LDL) to stimulate in vitro cultures of THP-1 cells for 72 h. The expression of ZNF580, a Cys2–His2 (C2H2) zinc finger protein containing 172 amino acids that was originally cloned by screening a human aortic cDNA library, was measured in foam cells, and its interaction with various regulatory factors during foam cell formation was investigated. Oil red O (ORO) staining was used to observe cell morphology and intracellular lipid levels. Lentivirus transfection was used to induce high ZNF580 expression (Ad-ZNF580) and low ZNF580 expression (Si-ZNF580) in THP-1 cells, and a fluorescent inverted microscope was used to observe the distribution of ZNF580 immunofluorescence to deduce the transfection rate. RNA and total protein were extracted, and the expression levels of ZNF580, cluster of differentiation 36 (CD36), peroxisome proliferator activated receptor-γ (PPAR-γ), ATP-binding cassette transporter A1 (ABCA1) and apolipoprotein E (ApoE) were measured by real-time quantitative PCR. The protein levels were examined by western blotting to evaluate the interaction between ZNF580 and associated regulatory factors. ZNF580 can significantly increase the expression levels of ApoE and ABCA1 and significantly decrease the expression levels of CD36 and PPAR-γ, suggesting that ZNF580-mediated inhibition of foam cell formation is associated with the PPAR-γ-CD36 signalling pathway. Based on these findings, ZNF580 might be a potential therapeutic candidate for the treatment of coronary atherosclerotic heart disease. Zhangzhongbai: ZNF580 inhibit foam cell formation

Risk management of green supply chains for agricultural products based on social network evaluation framework

AbstractThe green supply chain of agricultural products (GSCAP) is a key link for rural revitalization and sustainable development in China. However, it faces various risks from internal and external environments that threaten its performance and stability. This paper proposes a novel framework and system for identifying and evaluating the main risks in the GSCAP from the perspective of agricultural enterprises. The framework combines social network analysis (SNA) and an improved technique for order preference by similarity to an ideal solution (TOPSIS) method. SNA is used to analyze the correlations and influences among different types of risks, while the improved TOPSIS method is used to rank the risks of different GSCAPs and identify the key risks in each supply chain. The framework and system are verified by a case study of CDYBIT, a leading platform of food safety big data service in China. The results show that the supermarket supply chain has the highest risk, followed by the group catering supply chain, and the five‐star hotel supply chain has the lowest risk. The main risk factors for each supply chain are also discussed, and some suggestions for risk management are provided. This paper contributes to the literature by providing a comprehensive and systematic risk assessment framework and system for the GSCAP, which can help agricultural enterprises improve their risk awareness and response capabilities.

Human neutrophils drive skin autoinflammation by releasing interleukin (IL)-26.

Autoinflammation is a sterile inflammatory process resulting from increased neutrophil infiltration and overexpression of IL-1 cytokines. The factors that trigger these events are, however, poorly understood. By investigating pustular forms of psoriasis, we show that human neutrophils constitutively express IL-26 and abundantly release it from granular stores upon activation. In pustular psoriasis, neutrophil-derived IL-26 drives the pathogenic autoinflammation process by inducing the expression of IL-1 cytokines and chemokines that further recruit neutrophils. This occurs via activation of IL-26R in keratinocytes and via the formation of complexes between IL-26 and microbiota DNA, which trigger TLR9 activation of neutrophils. Thus our findings identify neutrophils as an important source of IL-26 and point to IL-26 as the key link between neutrophils and a self-sustaining autoinflammation loop in pustular psoriasis.

Enhanced cross-entropy framework for multiple-attribute decision-making with type-2 neutrosophic number and applications to cross-border e-commerce logistics service providers evaluation

In recent years, the lack of coordination in cross-border logistics has been one of the challenges and challenges faced by cross-border e-commerce. As the primary link in cross-border logistics, the selection of logistics service providers is an important foundation for promoting the development of cross-border e-commerce, and also a key link in improving the competitiveness of cross-border e-commerce enterprises. How to choose suitable and effective cross-border e-commerce logistics service providers has important theoretical significance and practical application value. The cross-border e-commerce logistics service providers evaluation is a multiple-attributed decision-making (MADM) problem. In this paper, the Type-2 neutrosophic number cross-entropy (T2NN-CE) technique is designed with help of cross-entropy and Type-2 neutrosophic number (T2NN). Furthermore, Then, T2NN-CE technique is built to solve the MADM. Finally, a numerical example for cross-border e-commerce logistics service providers evaluation is given and some comparisons are conducted to illustrate advantages of the designed T2NN-CE technique. The research contribution of the paper is outlined: (1) The T2NN-CE is managed under T2NNs; (2) the T2NN-CE method is implemented for MADM under T2NNs; (3) the T2NN-CE technique for cross-border e-commerce logistics service providers evaluation is constructed and were compared with some existing techniques; (4) Through the comparison, it is known that T2NN-CE technique for cross-border e-commerce logistics service providers evaluation is effective.

Research on the Influence of Green Investment on the Digital Transformation of Enterprises—theoretical research and empirical test

The digital transformation of enterprises is a key link in the construction of digital China. Based on the data of A-share listed companies in China from 2000 to 2020, this paper explores the influence of green investment on the digital transformation of enterprises through fixed effect. The results show that: (1) Green investment will inhibit the digital transformation of enterprises, and this effect is still valid after various robustness tests. (2) Green investment has a more significant inhibitory effect on the digital transformation of state-owned enterprises. (3) The inhibitory effect of green investment on the digital transformation of enterprises is more significant among enterprises in the central and western regions. According to the research results, it is further proposed that the digital transformation of enterprises should adapt to the green technology of enterprises; The state formulates and improves the green investment policy system; Explore the coordinated development path of green investment and enterprise digital transformation according to local conditions.

Digitalization of Educational Activities at the Municipal Level

The article examines the activity of the municipality from the point of view of the education management system in modern realities, namely in the conditions of digital transformation of society and its life, in particular, digitalization of educational activities. The main advantages and disadvantages of the digitalization of education are analyzed and presented. In the context of the research, the theoretical, normative and legal aspects of the current educational activity are presented, as a key link in solving problems of any nature for the benefit of the local population, in particular at the municipal level. In conclusion, the priority directions of the development of education management in the conditions of digitalization are given, which should effectively influence the optimization of organizational and management processes in the field of digital transformation, as well as the active penetration of digital technologies into the educational process of various educational organizations.
 The article reveals the effectiveness of information and communication technologies in municipal educational institutions training future specialists. In the context of the implementation of the research goal, the role of digitization as a factor in the implementation of educational activities in the process of training specialists in the economic field is studied. In the modern conditions of the development of the information society, there is a need for fast and high-quality calculation of economic indicators. It is this need that prompts the widespread use of software accounting methods. Digitalization has absorbed various fields of human activity.

Nuclear parcellation and numbers of orexinergic neurons in five species of larger brained birds.

The orexinergic/hypocretinergic system, while having several roles, appears to be a key link in the balance between arousal and food intake. In birds, to date, this system has only been examined anatomically in four species, all with brains smaller than 3.5g and of limited phylogenetic range. Here, using orexin-A immunohistochemistry, we describe the distribution, morphology, and nuclear parcellation of orexinergic neurons within the hypothalami of a Congo gray and a Timneh gray parrot, a pied crow, an emu, and a common ostrich. These birds represent a broad phylogeny, with brains ranging in size from 7.85 to 26.5g. Within the hypothalami of the species studied, the orexinergic neurons were organized in two clusters, and a densely packed paraventricular hypothalamic nucleus cluster located within the medial hypothalamus (Hyp), but not contacting the ventricle, and a more loosely packed lateral hypothalamic cluster in the lateral Hyp. Stereological analysis revealed a strong correlation, using phylogenetic generalized least squares regression analyses, between brain mass and the total number of orexinergic neurons, as well as soma parameters such as volume and area. Orexinergic axonal terminals evinced two types of boutons, larger and the smaller en passant boutons. Unlike the orexinergic system in mammals, which has several variances in cluster organization, that of the birds studied, in the present and previous studies, currently shows organizational invariance, despite the differences in brain and body mass, phylogenetic relationships, and life-histories of the species studied.

Zooplankton in northern lakes show taxon‐specific responses in fatty acids across climate‐productivity and ecosystem size gradients

AbstractNorthern lakes are facing rapid environmental alterations—including warming, browning, and/or changes in nutrient concentrations—driven by climate change. These environmental changes can have profound impacts on the synthesis and trophic transfer of polyunsaturated fatty acids (PUFA), which are important biochemical molecules for consumer growth and reproduction. Zooplankton are a key trophic link between phytoplankton and fish, but their biochemical responses to environmental change are not well understood. In this study, we assess the trends in fatty acid (FA) composition of zooplankton taxa among 32 subarctic and temperate lakes across broad climate‐productivity and ecosystem size gradients. We found that genus‐level taxonomy explained most FA variability in zooplankton (54%), suggesting that environmental changes that alter the taxonomic composition also affect the FA composition of zooplankton communities. Furthermore, the FA responses and their underlying environmental drivers differed between cladocerans and copepods. Cladocerans, including widespread Bosmina spp. and Daphnia spp., showed pronounced responses across the climate‐productivity gradient, with abrupt declines in PUFA, particularly eicosapentaenoic acid and arachidonic acid in warmer, browner, and more eutrophic lakes. Conversely, calanoid copepods had high and relatively stable PUFA levels across the gradient. In addition, all zooplankton taxa increased in stearidonic acid levels in larger lakes where PUFA‐rich cryptophytes were more abundant. Overall, our results suggest that climate‐driven environmental alterations pose heterogeneous impacts on PUFA levels among zooplankton taxa, and that the negative impacts of climate warming are stronger for cladocerans, especially so in small lakes.

Observational Evaluation of Estimated Air Exchange Flux Between Atmospheric Boundary Layer and Free Troposphere With WRF Model

AbstractVertical exchange between the atmospheric boundary layer (ABL) and free troposphere (FT) is a key link in coupling the earth's surface and upper atmosphere. This process is usually quantified by numerical simulations, while its reliability is not well assessed until now. Using space‐time intensified ABL observations, we evaluate the ABL‐FT air mass exchange flux derived from the Weather Research and Forecast (WRF) model. A six‐site sounding experiment is conducted in the North China Plain during the wintertime of 2019. The measured data is processed to provide enough information to derive the vertical exchange flux corresponding to the model‐based result, so that a systematic comparison is conducted. Three physical processes involved in ABL‐FT vertical exchange are quantitatively evaluated, that is, temporal variation of ABL height, advection across the inclined ABL top, and vertical motion at the ABL‐FT interface. Results show that the model‐based and observation‐based fluxes are generally agreed in temporal evolution (R = 0.67, p < 0.01), both characterized by 4–6 days periodicity and diurnal cycle. Their relative mean error was about 45% during the whole study period, mainly stemming from the vertical motion term and the advection crossing term. The model inaccuracy in representing these relevant processes at the ABL top is largely responsible for the discrepancy. Besides, the difference may also be attributed to the observational uncertainty (∼22%) that is caused by the measurement's difficulties in determining ABL spatial variation and acquiring vertical velocity. Through this study, the credibility and limitation of the WRF model in deriving ABL‐FT exchange flux are quantified.

Cooperative innovation subnetworks in the Chinese new energy vehicle industry: structure and coordination

ABSTRACT The overall synergy of technical-link-based cooperative innovation has the potential to drive industrial competitiveness, yet there is a gap in the knowledge of the cooperative innovation subnetworks based on various key technical links in a modular manufacturing industry. This study scrutinised the structure and coordination of three key technical-link-based subnetworks in the Chinese NEV industry by an empirical analysis based on joint patent data from 2009 to 2019 and a composite coordination measurement model. The findings indicate that the cooperative relationship within the three sub-networks all become closer to the obvious ‘core-periphery’ structure since 2016, with a downward trend in network density. The coordination of the three subnetworks has gradually changed from an uncoordinated degree to a low-coordinated degree, and the battery technology subnetwork has a generally lower-order degree. Some suggestions for improving the overall coordination are provided. Our study contributes to a better understanding of cooperation network dynamics with a lens of improving the balance in structural properties from technical-link-based subnetworks in a modular manufacturing industry.

Phillygenin Inhibits TGF-β1-induced Hepatic Stellate Cell Activation and Inflammation: Regulation of the Bax/Bcl-2 and Wnt/β-catenin Pathways.

Hepatic fibrosis (HF), a precursor to cirrhosis and hepatocellular carcinoma, is caused by abnormal proliferation of connective tissue and excessive accumulation of extracellular matrix in the liver. Notably, activation of hepatic stellate cells (HSCs) is a key link in the development of HF. Phillygenin (PHI, C21H24O6) is a lignan component extracted from the traditional Chinese medicine Forsythiae Fructus, which has various pharmacological activities such as anti-inflammatory, antioxidant and anti-tumour effects. However, whether PHI can directly inhibit HSC activation and ameliorate the mechanism of action of HF has not been fully elucidated. Therefore, the aim of the present study was to investigate the in vitro anti-HF effects of PHI and the underlying molecular mechanisms. Transforming growth factor-β1 (TGF-β1)-activated mouse HSCs (mHSCs) and human HSCs (LX-2 cells) were used as an in vitro model of HF and treated with different concentrations of PHI for 24h. Subsequently, cell morphological changes were observed under the microscope, cell viability was analyzed by MTT assay, cell cycle and apoptosis were detected by flow cytometry, and the mechanism of anti-fibrotic effect of PHI was explored by immunofluorescence, ELISA, RT-qPCR and western blot. The results showed that PHI suppressed the proliferation of TGF-β1-activated mHSCs and LX-2 cells, arrested the cell cycle at the G0/G1 phase, decreased the levels of α-SMA, Collagen I, TIMP1 and MMP2 genes and proteins, and promoted apoptosis in activated mHSCs and LX-2 cells. Besides, PHI reduced the expression of inflammatory factors in activated mHSCs and LX-2 cells, suggesting a potential anti-inflammatory effect. Mechanically, PHI inhibited TGF-β1-induced HSC activation and inflammation, at least in part through modulation of the Bax/Bcl-2 and Wnt/β-catenin pathways. Overall, PHI has significant anti-HF effects and may be a promising agent for the treatment of HF.

Metabolites of pathogenic microorganisms database (MPMdb) and its seed metabolite applications.

Seed metabolites are the combination of essential compounds required by an organism across various potential environmental conditions. The seed metabolites screening framework based on the network topology approach can capture important biological information of species. This study aims to identify comprehensively the relationship between seed metabolites and pathogenic bacteria. A large-scale data set was compiled, describing the seed metabolite sets and metabolite sets of 124,192 pathogenic strains from 34 genera, by constructing genome-scale metabolic models. The enrichment analysis method was used to screen the specific seed metabolites of each species/genus of pathogenic bacteria. The metabolites of pathogenic microorganisms database (MPMdb) (http://qyzhanglab.hzau.edu.cn/MPMdb/) was established for browsing, searching, predicting, or downloading metabolites and seed metabolites of pathogenic microorganisms. Based on the MPMdb, taxonomic and phylogenetic analyses of pathogenic bacteria were performed according to the function of seed metabolites and metabolites. The results showed that the seed metabolites could be used as a feature for microorganism chemotaxonomy, and they could mirror the phylogeny of pathogenic bacteria. In addition, our screened specific seed metabolites of pathogenic bacteria can be used not only for further tapping the nutritional resources and identifying auxotrophies of pathogenic bacteria but also for designing targeted bactericidal compounds by combining with existing antimicrobial agents.IMPORTANCEMetabolites serve as key communication links between pathogenic microorganisms and hosts, with seed metabolites being crucial for microbial growth, reproduction, external communication, and host infection. However, the large-scale screening of metabolites and the identification of seed metabolites have always been the main technical bottleneck due to the low throughput and costly analysis. Genome-scale metabolic models have become a recognized research paradigm to investigate the metabolic characteristics of species. The developed metabolites of pathogenic microorganisms database in this study is committed to systematically predicting and identifying the metabolites and seed metabolites of pathogenic microorganisms, which could provide a powerful resource platform for pathogenic bacteria research.

Concentrated Formic Acid from CO2 Electrolysis for Directly Driving Fuel Cell

AbstractThe production of formic acid via electrochemical CO2 reduction may serve as a key link for the carbon cycle in the formic acid economy, yet its practical feasibility is largely limited by the quantity and concentration of the product. Here we demonstrate continuous electrochemical CO2 reduction for formic acid production at 2 M at an industrial‐level current densities (i.e., 200 mA cm−2) for 300 h on membrane electrode assembly using scalable lattice‐distorted bismuth catalysts. The optimized catalysts also enable a Faradaic efficiency for formate of 94.2 % and a highest partial formate current density of 1.16 A cm−2, reaching a production rate of 21.7 mmol cm−2 h−1. To assess the practicality of this system, we perform a comprehensive techno‐economic analysis and life cycle assessment, showing that our approach can potentially substitute conventional methyl formate hydrolysis for industrial formic acid production. Furthermore, the resultant formic acid serves as direct fuel for air‐breathing formic acid fuel cells, boasting a power density of 55 mW cm−2 and an exceptional thermal efficiency of 20.1 %.

Concentrated Formic Acid from CO2 Electrolysis for Directly Driving Fuel Cell.

The production of formic acid via electrochemical CO2 reduction may serve as a key link for the carbon cycle in the formic acid economy, yet its practical feasibility is largely limited by the quantity and concentration of the product. Here we demonstrate continuous electrochemical CO2 reduction for formic acid production at 2 M at an industrial-level current densities (i.e., 200 mA cm-2 ) for 300 h on membrane electrode assembly using scalable lattice-distorted bismuth catalysts. The optimized catalysts also enable a Faradaic efficiency for formate of 94.2 % and a highest partial formate current density of 1.16 A cm-2 , reaching a production rate of 21.7 mmol cm-2 h-1 . To assess the practicality of this system, we perform a comprehensive techno-economic analysis and life cycle assessment, showing that our approach can potentially substitute conventional methyl formate hydrolysis for industrial formic acid production. Furthermore, the resultant formic acid serves as direct fuel for air-breathing formic acid fuel cells, boasting a power density of 55 mW cm-2 and an exceptional thermal efficiency of 20.1 %.

Phage therapy for burn wound infections in the era of antibiotic resistance

Infection of burn wounds caused by antibiotic-resistant pathogens is the leading cause of systemic infectious complications in burned patients and a key link in the pathogenesis of burn disease, causing its course and outcome. The use of phage therapy to overcome antibiotic resistance of infection agents is a promising direction, the development of which can improve the results of treatment of burned. The article discusses: 1) features of the infectious process in burned; 2) the effect of antibacterial chemotherapy of burn wound infection on the microbiome and the processes of reparative regeneration; 3) principles of phage therapy; 4) ways of delivering bacteriophages; 5) development of resistance to bacteriophages 6) personalization of phage therapy.

African Swine Fever Virus I267L Is a Hemorrhage-Related Gene Based on Transcriptome Analysis.

African swine fever (ASF) is an acute and severe disease transmitted among domestic pigs and wild boars. This disease is notorious for its high mortality rate and has caused great losses to the world's pig industry in the past few years. After infection, pigs can develop symptoms such as high fever, inflammation, and acute hemorrhage, finally leading to death. African swine fever virus (ASFV) is the causal agent of ASF; it is a large DNA virus with 150-200 genes. Elucidating the functions of each gene could provide insightful information for developing prevention and control methods. Herein, to investigate the function of I267L, porcine alveolar macrophages (PAMs) infected with an I267L-deleted ASFV strain (named ∆I267L) and wild-type ASFV for 18 h and 36 h were taken for transcriptome sequencing (RNA-seq). The most distinct different gene that appeared at both 18 hpi (hours post-infection) and 36 hpi was F3; it is the key link between inflammation and coagulation cascades. KEGG analysis (Kyoto encyclopedia of genes and genomes analysis) revealed the complement and coagulation cascades were also significantly affected at 18 hpi. Genes associated with the immune response were also highly enriched with the deletion of I267L. RNA-seq results were validated through RT-qPCR. Further experiments confirmed that ASFV infection could suppress the induction of F3 through TNF-α, while I267L deletion partially impaired this suppression. These results suggest that I267L is a pathogenicity-associated gene that modulates the hemorrhages of ASF by suppressing F3 expression. This study provides new insights into the molecular mechanisms of ASFV pathogenicity and potential targets for ASFV prevention and control.

Audit Committee Chairs’ Objectives and Risk Perceptions: Implications for Audit Quality

Audit committee chairs (ACCs) are key links in the financial reporting value chain. Whereas prior literature analyzes how ACCs contribute to effective corporate governance, we investigate how ACCs’ personal incentives help explain their audit-related preferences and actions. Guided by a three-step risk management framework (risk identification, evaluation, and mitigation) we conduct semi-structured interviews with 23 ACCs of public German firms. First, we document how ACCs’ objective of avoiding financial reporting outcomes that pose personal (reputational) risks leads them to focus on specific attributes of management’s accounting judgments to evaluate their personal risks. Second, our data reveal that ACCs consider specific auditor attributes helpful in evaluating these risks. Concerning risk mitigation, we find that ACCs prefer to be actively involved in critical discussions with management rather than delegate these entirely to the external auditor. Overall, we document that ACCs’ concerns about personal risk can translate into different preferences (e.g., an aversion to even positive surprises) than concerns about governance effectiveness. These insights contribute to a more nuanced understanding of audit committees’ role in corporate governance, as well as about the enabling factors of audit quality.

Functional analyses of TRAF6 gene in Argopecten scallops

The tumor necrosis factor (TNF) receptor-associated factor (TRAF) family has been reported to be involved in many immune pathways. In a previous study, we identified 5 TRAF genes, including TRAF2, 3, 4, 6, and 7, in the bay scallop (Argopecten irradians, Air) and the Peruvian scallop (Argopecten purpuratus, Apu). Since TRAF6 is a key molecular link in the TNF superfamily, we conducted a series of studies targeting the TRAF6 gene in the Air and Apu scallops as well as their hybrid progeny, Aip (Air ♀ × Apu ♂) and Api (Apu ♀ × Air ♂). Subcellular localization assay showed that the Air-, Aip-, and Api-TRAF6 were widely distributed in the cytoplasm of the human embryonic kidney cell line (HEK293T). Additionally, dual-luciferase reporter assay revealed that among TRAF3, TRAF4, and TRAF6, only the overexpression of TRAF6 significantly activated NF-κB activity in the HEK293T cells in a dose-dependent manner. These results suggest a crucial role of TRAF6 in the immune response in Argopecten scallops. To investigate the specific immune mechanism of TRAF6 in Argopecten scallops, we conducted TRAF6 knockdown using RNA interference. Transcriptomic analyses of the TRAF6 RNAi and control groups identified 1194, 2403, and 1099 differentially expressed genes (DEGs) in the Air, Aip, and Api scallops, respectively. KEGG enrichment analyses revealed that these DEGs were primarily enriched in transport and catabolism, amino acid metabolism, peroxisome, lysosome, and phagosome pathways. Expression profiles of 28 key DEGs were confirmed by qRT-PCR assays. The results of this study may provide insights into the immune mechanisms of TRAF in Argopecten scallops and ultimately benefit scallop breeding.