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Liquid embolic agents are widely used for the endovascular embolization of vascular conditions. However, embolization based on phase transition is limited by the adhesion of the microcatheter to the embolic agent, use of an organic solvent, unintentional catheter retention, and other complications. By mimicking thrombus formation, a water-soluble polymer that rapidly glues blood into a gel without triggering coagulation was developed. The polymer, which consists of cationic and aromatic residues with adjacent sequences, shows electrostatic adhesion with negatively charged blood substances in a physiological environment, while common polycations cannot. Aqueous polymer solutions are injectable through clinical microcatheters and needles. The formed blood gel neither adhered to the catheter nor blocked the port. Postoperative computed tomography imaging showed that the polymer can block the rat femoral artery in vivo and remain at the injection site without nontarget embolization. This study provides an alternative for the development of waterborne embolic agents.

Software-Defined Networking (SDN) is an emerging architecture that enables a computer network to be intelligently and centrally controlled via software applications. It can help manage the whole network environment in a consistent and holistic way, without the need of understanding the underlying network structure. At present, SDN may face many challenges like insider attacks, i.e., the centralized control plane would be attacked by malicious underlying devices and switches. To protect the security of SDN, effective detection approaches are indispensable. In the literature, challenge-based Collaborative Intrusion Detection Networks (CIDNs) are an effective detection framework in identifying malicious nodes. It calculates the nodes’ reputation and detects a malicious node by sending out a special message called a challenge. In this work, we devise a challenge-based CIDN in SDN and measure its performance against malicious internal nodes. Our results demonstrate that such a mechanism can be effective in SDN environments.

In complex networks systems like mobile edge infrastructures, real-time traffic classification according to application types is an enabling technique for network resource optimization and advanced security management. State-of-the-art schemes take advantage of machine learning techniques to train classification models based on behavioral characteristics of network traffic flows. Nonetheless, most existing studies assume complete a priori information of the application classes and formulate the task as a standalone multi-class classification problem. Such classification models cannot properly handle the unknown applications that are absent from the training set during the time of training. In this work, we propose a practical mobile network traffic classification scheme that builds robust classifiers based on incomplete a priori information. Specifically, the core idea is to extract the unknown patterns emerging in the network periodically to complement the initial labeled data set that only consists of a limited number of known applications. We propose two algorithms for the unknown pattern extraction step. One is based on iterative asymmetric binary classification and the other is based on constrained clustering. Empirical results based on a public data set show that the proposed scheme can effectively detect both known and unknown applications.

Anlotinib is a small molecule of novel tyrosine kinase inhibitor initially approved to treat non-small cell lung cancer in China. Drug-drug interaction (DDI) is an extrinsic factor important for the appropriate use of anlotinib in clinical practice. In vitro experiments demonstrated that anlotinib is a substrate of cytochrome P450 (CYP) enzymes and moderate inhibitor of several common ones; however, no clinical DDI studies have been performed to investigate inhibitory effects of anlotinib on these CYP enzymes. Thus, its drug label recommends avoiding co-administration with substrates of these enzymes, which have narrow therapeutic windows. In this study, we performed a CYP450 inhibition study, followed by gathering in vitro and clinical pharmacokinetic data to build the first physiologically based pharmacokinetic (PBPK) model of anlotinib. The verified model was subsequently used to predict the DDI mediated by anlotinib. As a result, the marginal plasma exposure changes of typical CYP3A and CYP2C9 substrates were less than the bioequivalence threshold, indicating that anlotinib has a very low potential of causing clinically meaningful DDI through the inhibition of several major CYP enzymes. According to the FDA's latest guideline on DDI, the established model with the simulation results may support the revision of anlotinib labelling without further clinical studies, lifting unnecessary restrictions on anlotinib regimens.

The adverse effects of sleep disorders on male fertility are of increased concern. In this study, a rat model of chronic sleep restriction (CSR) was established using the modified multiplatform method. The effects of CSR on the fertility of male rats were evaluated first based on sexual behavior. Serum hormones, including testosterone (T), prolactin (PRL), luteinizing hormone (LH) and follicle-stimulating hormone (FSH), and sperm parameters (concentration, viability, motility, deformation rate) were measured, and testicular histology was analysed by hematoxylin and eosin staining. The transcriptional differences between CSR rats and control rats were detected by RNA sequencing (RNA-Seq), and DNA methylation was then detected by bisulfite sequencing. After the differentialy expressed genes of CSR rats were sequenced and screened, representative up- and down-regulated genes were randomly sampled to verify the sequencing results by real-time quantitative reverse transcription polymerase chain reaction (qRT-PCR). Finally, functional annotations were completed, including gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomic (KEGG) pathway analyses. The results showed that the sexual behavior of CSR rats did not change when compared with control group rats. The sperm concentration, viability and motility of the CSR rats decreased significantly, while the sperm malformation rate increased significantly. In the KEGG pathway analysis database, some specific differentially expressed genes were screened, which are involved in metabolic pathways, inflammation-related pathways, the renin-angiotensin system, as well as others. However, the aforesaid differentially expressed genes in the testes were not related to their DNA methylation status. CSR could significantly reduce the fertility of male rats, and one of its mechanisms occurs by altering gene expression in the testes, which is not related to their state of DNA methylation. The results of this study suggest that CSR could cause male infertility by significantly altering the testicular transcriptome.

The growing popularity of users in online social network gives a big opportunity for online auction. The famous Information Diffusion Mechanism (IDM) is an excellent methods even meet the incentive compatibility and individual rationality. Although the existing auction in online social network has considered the buyers' information has not known by the seller, current mechanism still cannot preserve the information such as prices. In this paper, we propose a novel mechanism which modeled the auction process in online social network and preserved users' privacy by using differential privacy mechanism. Our mechanism can successfully process the auction and at the same time preserve clients' price information from neighbors. We achieved these by adding Laplace noise for its valuation and the number of valuation seller received in the auction process. We also formulate this mechanism on the real network to show the feasibility and effective of the proposed mechanism.

The double network (DN) gel is a rigid, tough, and safe hydrogel; however, like all hydrogels and existing particle embolization materials composed of a polymer, they lack X-ray visibility. Thus, it is not possible to locate the embolization material in the body. In this study, we successfully developed an X-ray-visible embolization material, a tough DN gel incorporated with biocompatible heavy metal powder. The DN gel particles, composed of poly(N,N'-dimethylacrylamide) and poly(2-acrylamido-2-methylpropanesulfonic acid) with tantalum powder, were synthesized via two-step suspension radical polymerization. The characteristics of the DN particles were evaluated by comparing them with Embosphere®, an existing embolization material. Furthermore, we used a rat carotid artery embolic model to evaluate the material’s X-ray computed tomography visibility in vivo. The developed embolization material was visible in X-ray computed tomography scans and safe for use in the body. Moreover, as it remained in the vessels for a long time, it is expected to be more effective than Embosphere®. Thus, the developed material is a promising DN particle embolization material with X-ray computed tomography visibility.

Cardiovascular disease (CVD) is one of the most serious health problems, particularly in developed countries. CVD includes various abnormal conditions such as hypertension, hypercholesterolemia, congestive heart failure, cerebrovascular disease, and coronary heart disease. Many drugs have been developed to combat CVD. However, not all the drug therapy of CVD could have satisfactory results. The large interindividual variability of cardiovascular drugs could be often explained by the genetic variation along human genome. Some important findings of pharmacogenomics have been confirmed in clinical studies of large scale, presenting a big potential in clinical application. This chapter summarizes pharmacogenomics knowledge in some of the most commonly used drugs in the treatment of CVD.

Atorvastatin and its lactone form metabolite are reported to be associated with statin-induced myopathy (SIM) such as myalgia and life-threatening rhabdomyolysis. Though the statin-induced rhabdomyolysis is not common during statin therapy, its incidence will significantly increase due to pharmacokinetic drug-drug interactions (DDIs) with inhibitor drugs which inhibit atorvastatin’s and its lactone’s metabolism and hepatic uptake. Thus, the quantitative analysis of DDIs of atorvastatin and its lactone with cytochrome P450 3A4 (CYP3A4) and organic anion-transporting polypeptide (OATP) inhibitors is of great importance. This study aimed to predict pharmacokinetic DDIs possibly causing atorvastatin-induced rhabdomyolysis using Physiologically Based Pharmacokinetic (PBPK) Modelling. Firstly, we refined the PBPK models of atorvastatin and atorvastatin lactone for predicting the DDIs with CYP3A4 and OATP inhibitors. Thereafter, we predicted the exposure changes of atorvastatin and atorvastatin lactone originating from the case reports of atorvastatin-induced rhabdomyolysis using the refined models. The simulation results show that pharmacokinetic DDIs of atorvastatin and its lactone with fluconazole, palbociclib diltiazem and cyclosporine are significant. Consequently, clinicians should be aware of necessary dose adjustment of atorvastatin being used with these four inhibitor drugs.

Fibroblast activation protein (FAP) is a serine protease selectively expressed on reactive stromal fibroblasts of epithelial carcinomas. It is widely believed to play a role in tumor invasion and metastasis and therefore to represent a potential new drug target for cancer. Investigation into its biological function, however, has been hampered by the current unavailability of selective inhibitors. The challenge has been in identifying inhibitors that are selective for FAP over both the dipeptidyl peptidases (DPPs), with which it shares exopeptidase specificity, and prolyl oligopeptidase (PREP), with which it shares endopeptidase specificity. Here, we report the first potent FAP inhibitor with selectivity over both the DPPs and PREP, N-(pyridine-4-carbonyl)-d-Ala-boroPro (ARI-3099, 6). We also report a similarly potent and selective PREP inhibitor, N-(pyridine-3-carbonyl)-Val-boroPro (ARI-3531, 22). Both are boronic acid based inhibitors, demonstrating that high selectivity can be achieved using this electrophile. The inhibitors are stable, easy to synthesize, and should prove to be useful in helping to elucidate the biological functions of these two unique and interesting enzymes, as well as their potential as drug targets.

Dipeptidyl peptidase IV (DPP-IV; E.C. 3.4.14.5), a serine protease that degrades the incretin hormones GLP-1 and GIP, is now a validated target for the treatment of type 2 diabetes. Dipeptide boronic acids, among the first, and still among the most potent DPP-IV inhibitors known, suffer from a concern over their safety. Here we evaluate the potency, in vivo efficacy, and safety of a selected set of these inhibitors. The adverse effects induced by boronic acid-based DPP-IV inhibitors are essentially limited to what has been observed previously for non-boronic acid inhibitors and attributed to cross-reactivity with DPP8/9. While consistent with the DPP8/9 hypothesis, they are also consistent with cross-reactivity with some other intracellular target. The results further show that the potency of simple dipeptide boronic acid-based inhibitors can be combined with selectivity against DPP8/9 in vivo to produce agents with a relatively wide therapeutic index (>500) in rodents.

Tocopherol cyclase (VTE1, encoded by VTE1 gene) catalyzes the penultimate step of tocopherol synthesis. Transgenic tobacco plants overexpressing VTE1 from Arabidopsis were exposed to drought conditions during which transgenic lines had decreased lipid peroxidation, electrolyte leakage and H(2)O(2) content, but had increased chlorophyll compared with the wild type. Thus VTE1 can be used to increase vitamin E content of plants and also to enhance tolerance to environmental stresses.

A simple and effective strategy involving nebulized ethanol assisted infiltration for the general synthesis of 3D structure-based vertically aligned carbon nanotube arrays (VACNTs) uniformly and deeply decorated with various transition-metal oxide (MOs) has been developed. Furthermore, it is demonstrated that the 3D structure-based VACNTs with decorated MnO2 can exhibit superior electrocatalytic oxygen reduction reaction activity, long-term stability, and an excellent resistance to crossover effects compared to the commercial Pt/C catalyst.

Aiming at the load balancing of multiple up-links, CIAP (Covariance target Iteration Algorithm based on PBA) algorithm is proposed, which can adjust routing table secondly according to the covariance of links' delay and residual bandwidth. Then, the IP fragments is mapped to each link by PBA (Public Bidding Algorithm) algorithm and thus multiple links' traffic is balanced to a certain extent. In the end, routing update frequency is studied initially. Experimental results show that the optimization performance of CIAP is increased to a certain extent than DTIA (Delay Target Iteration Algorithm) when network load is heavy.

In plants, non-coding small RNAs play a vital role in plant development and stress responses. To explore the possible role of non-coding small RNAs in the regulation of the jasmonate (JA) pathway, we compared the non-coding small RNAs between the JA-deficient aos mutant and the JA-treated wild type Arabidopsis via high-throughput sequencing. Thirty new miRNAs and 27 new miRNA candidates were identified through bioinformatics approach. Forty-nine known miRNAs (belonging to 24 families), 15 new miRNAs and new miRNA candidates (belonging to 11 families) and 3 tasiRNA families were induced by JA, whereas 1 new miRNA, 1 tasiRNA family and 22 known miRNAs (belonging to 9 families) were repressed by JA.

Bortezomib, a dipeptidyl boronic acid and potent inhibitor of the 26S proteasome, is remarkably effective against multiple myeloma (MM) but not against solid tumors. Dose-limiting adverse effects from "on target" inhibition of the proteasome in normal cells and tissues appear to be a key obstacle. Achieving efficacy against solid tumors therefore is likely to require making the inhibitor more selective for tumor tissue over normal tissues. The simplest strategy that might provide such tissue specificity would be to employ a tumor specific protease to release an inhibitor from a larger, noninhibitory structure. However, such release would necessarily generate an inhibitor with a free N-terminal amino group, raising a key question: Can short peptide boronic acids with N-terminal amino groups have the requisite properties to serve as warheads in prodrugs? Here we show that dipeptides of boroLeu, the smallest plausible candidates for the task, can indeed be sufficiently potent, cell-penetrating, cytotoxic, and stable to degradation by cellular peptidases to serve in this capacity.

Members of the 70 kD heat-shock gene family are highly conserved across a wide range of organisms. In an effort to learn more about the evolution and possible functions of extreme environment plant Saussurea medusa Maxim hsp70, we isolated a cDNA clone encoding a putative cytosolic member (Smhsp70) of this family of proteins from a cDNA library of S. medusa cell cultures. The cDNA clone was 2224 bp in length and contained a 1941 bp open reading frame (ORF) encoding a polypeptide of 647 amino acid residues with a predicted molecular mass of 70,794 Da. The predicted protein was found to contain a C-terminal amino acid motif of "PKIEEVD" indicating that Smhsp70 was related to cytosolic members of the hsp70 family in higher plant. The secondary and three-dimensional structures of Smhsp70 were analyzed by molecular modeling. The genomic structure of Smhsp70 included one intron of 1134 bp in length. The deduced Smhsp70 protein has 93.7 and 93.2% similarity with the hsp70 of tobacco and tomato, 73.2% with the hsp70 of human, and 43.7% with DnaK of Escherichia. coli, respectively. Semiquantitative reverse transcription-polymerase chain reaction (RT-PCR) analyses indicated that the cytosolic Smhsp70 protein was constitutively expressed and markedly increased after relatively short periods of heat shock (37 degrees C) as well as by low temperature (4 degree C) treatments.

Despite the good progress in developing doped carbon catalysts for oxygen-reduction reaction (ORR), the current metal-free carbon catalysts are still far from satisfactory for large-scale applications of fuel cell. Developing new metal free doped carbon materials with abundance active sites as well as excellent electron transfer and reactant transport rate towards ORR may be a potential solution. Herein, we develop a novel three-dimensional (3D) sulfur-nitrogen co-doped carbon foams (S-N-CF) with hierarchical pore structures, using a convenient, economical, and scalable method. The experimental results have demonstrated that the obtained 3D S-N-CF exhibited better catalytic activity, longer-term stability and higher methanol tolerance than a commercial Pt/C catalyst. Such excellent performances may be attributed to the synergistic effect, which includes high catalytic sites for ORR provided by high S-N heteroatom loading, excellent reactant transport caused by hierarchical pore structures and high electron transfer rate provided by 3D continuous networks. Our results not only develop a new type of catalysts with excellent electrocatalytic performance by a commercially valid route, but also provide useful information for further clarification of the relationship between the microstructures of metal-free carbon materials and catalyst properties for ORR. More importantly, the idea to design hierarchical pore structures could be applied to other catalytic materials and serve as a general strategy for improving the activity of various ORR catalysts.

The ongoing search for new non-precious-metal catalysts (NPMCs) with excellent electrocatalytic performance to replace Pt-based catalysts has been viewed as an important strategy to promote the development of fuel cells. Recent studies have proven that carbon materials doped with atoms which have a relatively small atomic size (e.g. N, B, P or S), have also shown pronounced catalytic activity. Herein, we demonstrate the successful fabrication of CNT/graphene doped with Se atoms, which has a relatively large atomic size, by a simple, economical, and scalable approach. The electrocatalytic performance of the resulting Se-doped CNT-graphene catalyst exhibits excellent catalytic activity, long-term stability, and a high methanol tolerance compared to commercial Pt/C catalysts. Our results confirmed that combining CNTs with graphene is an effective strategy to synergistically improve ORR activity. More importantly, it is also suggested that the development of graphite materials doped with Se or other heteroatoms of large size will open up a new route to obtain ideal NPMCs with realistic value for fuel cell applications.

The class III homeodomain-leucine zipper (HD-Zip III) gene family plays important roles in plant growth and development, including regulation of apical embryo patterning, embryonic shoot meristem formation, leaf polarity, vascular development, and meristem function, with a particularly crucial function in leaf development. Although HD-Zip III members are highly conserved in land plants, previous studies, such as genetic analyses based on multiple mutants in Arabidopsis and other plants, suggest that various HD-Zip III family genes have evolved with distinct functions and pleiotropic effects on plant growth and development. In this study, we analyzed a HD-Zip III member, OsHox33, and demonstrated that it plays an important role in age-dependent leaf senescence in rice. We constructed two specific RNAi vectors derived from the 5'-end region and 3'-UTR of OsHox33 to knockdown its expression. Transgenic plants harboring either RNAi construct displayed similar phenotypes of precocious leaf senescence symptoms, suggesting that knockdown of OsHox33 accelerates leaf senescence in rice. pOsHox33::GUS fusion expression and RT-PCR revealed that OsHox33 is highly expressed in young organs, especially in young meristems such as shoot apical meristems, intercalary meristems, and young callus. In addition, real-time PCR indicated that OsHox33 was more highly expressed in young leaves than in old leaves. To further investigate OsHox33 function, we analyzed chloroplast ultrastructure in different-aged leaves of RNAi plants, and found that OsHox33 knockdown accelerated chloroplast degradation, which is consistent with RNAi phenotypes. Finally, real-time PCR studies showed that OsHox33 can regulate the expression of GS1 and GS2, two senescence-associated genes. Taken together, the work presented here provides new insights into the function of HD-Zip III members in plants.