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Trust systems have been widely studied in Internet of Things (IoT). However, there is a little work done on trust management in cross-domain Industrial Internet of Things (IIoT). Many of these models focus mainly or only on trust management in a single administrative domain where trust is evaluated based on the same criteria. In general, different administrative domains adopt different trust models and trust evaluation standards. Due to different trust evaluation standards, trust values from different administrative domain cannot be compared, directly. Therefore, there is a need for a well-defined trust computing scheme for such multi-domain IIoT environment. This paper focuses on the research of cross-domain trust and proposes a cross-domain trust computing scheme “CDTCS”, where trust recommendation value for an IIoT device in a domain can be transferred to a corresponding value in another domain. We analyze CDTCS performance in terms of trust accuracy and resiliency against attacks.

Trust-based service management in IoT systems, a promising research direction provides an intelligent solution for the identification of appropriate and trustworthy service providers from a huge of number smart nodes providing similar services. An efficient trust-based service ranking scheme (TBSRS) is proposed. The novelty of our design lies in providing accurate trust evaluation and service ranking in the absence of assessment data or presence of untrustworthiness recommendations. TBSRS also addresses the issue about the trustworthiness evaluation of a new service. Service providers are ranking based on the binary fruit fly optimization algorithm in TBSRS. The experimental results demonstrate desirable convergence, accuracy, and resiliency properties of TBSRS, and also demonstrate that TBSRS outperforms Adaptive IoT Trust and IoT-HiTrust in terms of the precision of service selection and other a few performance metrics.

Stroke is an acute cerebrovascular disease that can lead to disability and death. This study aimed to investigate the relationship between socioeconomic status (SES) and stroke. SES was evaluated by two variables: poverty to income ratio (PIR) and education level. In this multi-subject study, we collected data from the National Health and Nutrition Examination Survey (NHANES) database between 2009 and 2018, and finally 22,792 adults (≥20 years old) were included in the study. We proceeded with weighted multivariate logistic regression analysis as well as subgroup analysis. When analyzing the effect of PIR on stroke alone, the results showed that an increase in PIR levels was associated with a decrease in stroke incidence (OR = 0.764 95% CI: (0.711, 0.820), p

Lentinula edodes, one of the most highly regarded edible mushrooms in China, is susceptible to damage from high temperatures. However, a mutant strain derived from L. edodes, known as Le023M, has shown exceptional thermotolerance. Compared to the original strain Le023, Le023M exhibited accelerated mycelial recovery following heat stress. Through RNA-seq analysis, the majority of differentially expressed genes (DEGs) were found to be associated with functions such as “protein refolding”, “protein unfolding”, “protein folding”, and “response to heat”, all of which are closely linked to heat shock proteins. Furthermore, qRT-PCR results revealed significant accumulation of heat shock-related genes in Le023M under heat stress. GC-MS analysis indicated elevated levels of trehalose, aspartate, and glutamate in Le023M when subjected to heat stress. The highly expressed genes involved in these metabolic pathways were predominantly found in Le023M. Collectively, these findings highlight the following: (i) the crucial role of heat shock proteins (HSPs) in the thermo-resistant mechanisms of Le023M; (ii) the potential of trehalose accumulation in Le023M to enhance mycelium resistance to heat stress; and (iii) the induction of aspartate and glutamate accumulation in response to heat stress. These results shed light on the molecular mechanisms underlying the thermotolerance of Le023M, providing valuable insights for further understanding and improving heat stress response in L. edodes. The findings also highlight the potential applications of Le023M in the cultivation and production of L. edodes under high-temperature conditions.

Mushrooms of the edible and medicinal which are highly nutritious and environmentally friendly crops carry numerous medicinal benefits. For the abundant and high diversity of bioactive metabolites they possess, which are considered to be an important pool of bioresources. The efficient breeding technique is always a challenging task in mushrooms for obtaining better character strains, which are essential for developing healthy products and even consumption. This review comprehensively summarizes the breeding techniques applied to the edible and medicinal mushrooms. Including the traditional mutagenesis method, and even modern gene-editing breeding techniques, the effects of each method, and the comparison of each breeding technique are systematic illustrations. Strategies for mushroom breeding techniques in the future are also discussed in this review paper. With the ongoing sequencing of the mushroom genome, knowledge of the gene background of the strains and functions can be available for developing better markers for gene-editing breeding as CRISPR/Cas9 systems. Combine the metabolism engineering and in-silico tools analysis was the rational design of the novel strains. Modern physical mutagenesis techniques such as the ARTP and the combination of the other physical, and chemical breeding mutagens with cross-breeding techniques or the protoplasts fusion will also lead to superior strains for cultivation and pave the way for higher quality and yield.

Edible fungus is a large fungus distributed all over the world and used as food and medicine. But people's understanding of edible fungi is not as much as that of ordinary crops, so people have started a number of research on edible fungi in recent years. With the development of science and technology, omics technology has gradually walked into people's vision. Omics technology has high sensitivity and wide application range, which is favored by researchers. The application of omics technology to edible fungus research is a major breakthrough, which has transferred edible fungus research from artificial cultivation to basic research. Now omics technology in edible fungi has been flexibly combined with other research methods, involving multiple studies of edible fungus, such as genetic breeding, growth and development, stress resistance, and the use of special components in edible fungus as pharmaceutical additives. It is believed that in the future, the research of edible fungi will also be brought to a deeper level with the help of omics technology. This paper introduces the application progress of modern omics technology to the study on edible fungi and mentions the application prospect of edible fungi research with the constant development of omics technology, thereby providing ideas for the follow-up in-depth research on edible fungi.

Hypsizygus marmoreus is an edible medicinal mushroom species with a high dietary value. The main purpose of this study was to evaluate the nutritional value, umami taste, and volatile organic compounds (VOCs) of H. marmoreus treated with hot water combined with simulated salivary digestion in vitro. Seafood mushroom (Hm3) had the highest content of moisture, soluble polysaccharides, soluble proteins, and total flavonoids while white Hypsizygus marmoreus (Hm1) had the highest total phenolic content. Moreover, Hm1 had a more noticeable equivalent umami concentration (EUC) value, indicating the umami properties of Hm1 as a food or processing ingredient. Results from E-nose and HS-SPME-GC-MS revealed that the VOCs of Hm1 and brown Hypsizygus marmoreus (Hm2) were relatively similar, which differed substantially from Hm3. Among the 134 VOCs, 24 differential metabolites were identified by OPLS-DA analysis, characterized by VIP > 1, p-value < 0.05, and FC > 2 (pairwise comparisons). Furthermore, 10 biomarkers with VIP > 1 and p-value < 0.05 were identified by PLS-DA analysis based on the total differential metabolites to distinguish different strains of H. marmoreus. These results will benefit future research on the chemistry of H. marmoreus and serve as a guide for breeding, introducing, and using the species more effectively.