An exciting paradise of data is emerging into our daily life along with the development of the Web of Things. Nowadays, volumes of heterogeneous raw data are continuously generated and captured by trillions of smart devices like sensors, smart controls, readers and other monitoring devices, while various events occur in the physical world. It is hard for users including people and smart things to master valuable information hidden in the massive data, which is more useful and understandable than raw data for users to get the crucial points for problems-solving. Thus, how to automatically and actively extract the knowledge of events and their internal links from the big data is one key challenge for the future Web of Things. This paper proposes an effective approach to extract events and their internal links from large scale data leveraging predefined event schemas in the Web of Things, which starts with grasping the critical data for useful events by filtering data with well-defined event types in the schema. A case study in the context of smart campus is presented to show the application of proposed approach for the extraction of events and their internal semantic links.
Abstract The Internet of Things (IoT) promises huge potential economic benefits. However, current IoT applications are in their infancy and the full potential of possible business opportunities is yet to be discovered. To help realize these economic benefits, workable business models are required that show where opportunities exist. In this article we describe the Business DNA Model - a representation of a business model in terms of Design , Needs , and Aspirations , which greatly simplifies presentation, analysis, and design of business models. This model can be used by IoT stakeholders to generate and analyse stories, models, and projects for strategic management, business strategy, and innovation. We present one scenario - smart logistics - to illustrate how the Business DNA Model might be applied.
Abstract Objectives Glucolipid metabolic disorders (GLMD) promote a series of major chronic diseases. Polygoni Multilori Radix Preparata (PMRP) has been widely acknowledged in the prevention and treatment of GLMD. We previously reported that water extract (WE) of PMRP and its major bioactive constituents such as polysaccharides (POL) and 2,3,5,4´-tetrahydroxy-stilbene-2-O-β-D-glucoside (TSG) could alleviate GLMD. The mitochondrial dysfunction is an important mechanism of GLMD, but the underlying mechanisms behind the regulation of mitochondria to alleviate GLMD by WE, POL from PMRP and TSG are still unknown. Methods In this study, we elucidated the effects of WE, POL, and TSG towards regulating the mitochondrial dysfunction and alleviating GLMD using mitochondrial metabonomics. A rat model of GLMD was established by high-sugar and high-fat (HS-HF) diet. Rats were intragastrically given WE, POL, and TSG for 12 weeks. The liver mitochondrial metabolites were analyzed by ultra-high-performance liquid chromatography/mass spectrometry followed by multivariate statistical analysis to identify the differential metabolites and metabolic pathways. Key findings The WE, POL, and TSG could significantly restore the level of endogenous metabolites in liver mitochondria toward normal status. In total, sixteen, seven, and fourteen differential metabolites were identified in the liver mitochondrial samples obtained from the WE, GOL, and TSG groups, respectively. These metabolites were found to be mainly involved in glycerol phospholipid, histidine, alanine, aspartic acid, glutamate metabolism, and arginine biosynthesis. Conclusions PMRP could improve the liver mitochondrial function by regulating the mitochondrial metabolic pathways to alleviate GLMD. Therefore, the application of PMRP might be a promising mitochondrial regulator/nutrient for alleviating GLMD-associated diseases and the mitochondrial metabonomics might provide insights into the evaluation of the efficacies and mechanisms of action of drugs.
In recent decades, the decline of male sperm quality has become a worldwide phenomenon, with sperm quality of critical importance for the ability to conceive naturally. Recent studies suggest that male fertility function is closely linked to the gut microbiota, however, the cause-and-effect association between the gut microbiota and male infertility risk is currently unclear.We performed one two-sample Mendelian randomization (MR) study, which uses summary data on human gut microbiota from the MiBioGen consortium as factors of exposure. FinnGen Consortium R8 data was used to obtain GWAS data for male infertility. To evaluate cause-and-effect associations linking gut microbiota and male infertility risk with multiple Mendelian randomization methods, we included inverse variance weighted (IVW), MR-Egger, and Maximum Likelihood (ML) Ratio. The heterogeneity of instrumental variables was evaluated through Cochran's Q, Rucker's Q, and leave-one-out analysis methods.We found a positive association between Allisonella, Anaerotruncus, Barnesiella, Intestinibacter, and Lactococcus with male infertility risk according to the MR analysis results. Bacteroides Romboutsia, Ruminococcaceae (NK4A2140group), and Ruminococcaceae (UCG011) play a protective function in male infertility pathogenesis.It was found that gut microbiota and infertility are causally related in this study. In subsequent studies, there is a need to build a larger and more comprehensive GWAS database on male infertility, which will reveal the underlying mechanisms for gut microbiota and male infertility. There is a need for randomized controlled trials for validating the protective effect of the associated gut microbiota against male infertility risk, and for exploring the associated mechanisms.
Human β-defensin 2 (HBD2) is a cysteine-rich cationic antimicrobial peptide known for its important role in innate immune system. Intensive studies have demonstrated its antimicrobial and chemotactic activities in vitro. In this study, ELISA analysis showed that HBD2 was significantly downregulated in sera of patients with hypertension. It relaxed vessel smooth muscle by acting on the major regulatory pathways, contributing to vessel smooth muscle contraction. Electrophysiology analysis indicated that HBD2 acted as an opener of large-conductance Ca(2+)-activated potassium (BKCa)-mSlo+hβ1 channels and increased BKCa currents. Mutation analysis revealed that HBD2 activated BKCa-mSlo+hβ1 channels via interacting with Leu41 and Gln43 of β1-loop. In vivo experiments suggested that HBD2 at 4 × to 6 × of physiological concentration exerted hypotensive effect in monkeys significantly, whereas the selective blocker of BKCa channels, Paxilline, inhibited the effect. HBD2 is the first peptide opener of BKCa-mSlo+hβ1 channels. It may be a novel regulator of blood pressure and provides a new therapeutic target for the treatment of hypertension. The HBD2 blockade of the BKCa channels may represent a new type of cross-talk between immune and cardiovascular systems.
Abstract: Nanoparticle drug formulations have enormous application prospects owing to achievement of targeted and sustained release drug delivery, improvement in drug solubility and reduction of adverse drug reactions. Recently, a variety of efficient drug nanometer carriers have been developed, among which carbon nanotubes (CNT) have been increasingly utilized in the field of cancer therapy. However, these nanotubes exert various toxic effects on the body due to their unique physical and chemical properties. CNT-induced toxicity is related to surface modification, degree of aggregation in vivo, and nanoparticle concentration. This review has focused on the potential toxic effects of CNTs utilized as anti-tumor drug carriers. The main modes by which CNTs enter target sites, the toxicity expressive types and the factors affecting toxicity are discussed. Keywords: anti-tumor, cancer, CNTs, nanometer preparation, nanometer carrier, toxicity
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