Graded Reliance Based Routing Scheme for Wireless Sensor Networks

In this paper Graded Reliance based routing algorithm is proposed to deal with defective nodes in Wireless Sensor Networks (WSN’s).The algorithm is intended to validated or build evidence that, by dynamically learning from previous experience and adapting the changes in the operational environment the application performance can be maximized and also enhance operative agility. Quality of service and social network measures are used to evaluate the confidence score of the sensor node. A dynamic model-based analysis is formulated for best reliance composition, aggregation, and formation to maximize routing performance. The results indicate that reliance based routing approaches yields better performance in terms of message delivery ratio and message delay without incurring substantial message overhead

Fault Tolerance using Modified Hausdroff Distance Method

In wireless sensor and actor networks (WSANs), fault detection is of prime importance where an unexpected failure should be properly identified by the network system. Since the sensor nodes are prone to failure, fault tolerance should be seriously considered in many sensor network applications. In this paper, we propose Fault Tolerance using Modified Hausdroff Distance Method (FTMHD).The nodes are randomly deployed in an M*N area. The actor node verifies whether it receives correct data from node or not. The Modified Hausdroff Distance (MHD) is used to determine lower and upper bound of correct data range to be detected by the nodes. The proposed FTMHD has better sampling fraction and compression ratio compared to existing technique

The Role of Hla Genes in Immune Response, Disease Susceptibility, and Social Behaviours: A Comprehensive Review

Major Histocompatibility Complexes (MHC), which assist to code for proteins that distinguish between self and non-self, are significantly influenced by the Human Leukocyte Antigen (HLA) genes. Particularly important in the suppression of immune response are the HLA genes. The bulk of the genes in the MHC region shows considerable variation. The two most important functions of HLA molecules are selection of T cell accumulation and the formation and control of immunological responses. The causes of HLA-G gene-associated illnesses and the underlying mechanisms are still up for dispute. The HLA-G gene has an impact on social behaviour as well. Numerous polymorphisms have been connected to heightened susceptibility to the beginning of autoimmune illnesses as well as heightened disease severity. The lifetime of some HLA genes is shorter.Genetic background, environmental circumstances, and certain polymorphisms have been linked to increased illness severity. certain HLA genes have shorter life spans than others, and vice versa. The major functional elements of HLA-G in both normal and autoimmune disorders are summarized in this study

Enhanced Topology Aware Routing for WSN

In this paper Enhanced Topology Aware Routing (ETAR) is proposed for point to point routing in wireless sensor network. Each node is characterized by a coordinate vector consisting of the shortest path hop distances to a subset of nodes, named anchors. The ETAR algorithm efficiently maps a network topology into a low-dimensional virtual coordinate space where hop distances between pairwise nodes are preserved. It assist greedy forwarding to find the right neighbor that is one hop closer to the destination by eliminating the local minimum problem and achieve high success ratio of packet delivery and throughput without location informatio

Interventional radiology and COVID-19: evidence-based measures to limit transmission

As we face an explosion of COVID-19 cases and deal with an unprecedented set of circumstances all over the world, healthcare personnel are at the forefront, dealing with this emerging scenario. Certain subspecialties like interventional radiology entails a greater risk of acquiring and transmitting infection due to the close patient contact and invasive patient care the service provides. This makes it imperative to develop and set guidelines in place to limit transmission and utilize resources in an optimal fashion. A multi-tiered approach needs to be devised and monitored at the administrative level, taking into account the various staff and patient contact points. Based on these factors, work site and health force rearrangements need to be in place while enforcing segregation and disinfection parameters. We are putting forth an all-encompassing review of infection control measures that cover the dynamics of patient care and staff protocols that such a situation demands of an interventional department

Macrophages offer a paradigm switch for CNS delivery of therapeutic proteins

Active targeted transport of the nanoformulated redox enzyme, catalase, in macrophages attenuates oxidative stress and as such increases survival of dopaminergic neurons in animal models of Parkinson’s disease. Optimization of the drug formulation is crucial for the successful delivery in living cells. We demonstrated earlier that packaging of catalase into a polyion complex micelle (‘nanozyme’) with a synthetic polyelectrolyte block copolymer protected the enzyme against degradation in macrophages and improved therapeutic outcomes. We now report the manufacture of nanozymes with superior structure and therapeutic indices

Large expert-curated database for benchmarking document similarity detection in biomedical literature search

Document recommendation systems for locating relevant literature have mostly relied on methods developed a decade ago. This is largely due to the lack of a large offline gold-standard benchmark of relevant documents that cover a variety of research fields such that newly developed literature search techniques can be compared, improved and translated into practice. To overcome this bottleneck, we have established the RElevant LIterature SearcH consortium consisting of more than 1500 scientists from 84 countries, who have collectively annotated the relevance of over 180 000 PubMed-listed articles with regard to their respective seed (input) article/s. The majority of annotations were contributed by highly experienced, original authors of the seed articles. The collected data cover 76% of all unique PubMed Medical Subject Headings descriptors. No systematic biases were observed across different experience levels, research fields or time spent on annotations. More importantly, annotations of the same document pairs contributed by different scientists were highly concordant. We further show that the three representative baseline methods used to generate recommended articles for evaluation (Okapi Best Matching 25, Term Frequency-Inverse Document Frequency and PubMed Related Articles) had similar overall performances. Additionally, we found that these methods each tend to produce distinct collections of recommended articles, suggesting that a hybrid method may be required to completely capture all relevant articles. The established database server located at https://relishdb.ict.griffith.edu.au is freely available for the downloading of annotation data and the blind testing of new methods. We expect that this benchmark will be useful for stimulating the development of new powerful techniques for title and title/abstract-based search engines for relevant articles in biomedical research.Peer reviewe