Escaping from StraightLine in Ubiquitous Computing

This paper discuss about the working of upcoming technology known as Calm Technology defined as a paradigm shift where a technology become virtually invisible in our life, also known as Ubiquitous Computing. By using this technology if different devices of different operating systems interact, then consideration and requirement that will have to be taken in account are the subject of discussion in this paper.This paper is about the relation of devices having heterogeneous operating systems that are communicating with environment. The applications we use have no manualor direct interaction with the real environment. Keywords- Ubiquitous Computing; Calm Technology; Heterogeneous Devices; Securit

Analysis of K-Mean and X-Mean Clustering Algorithms Using Ontology-Based Dataset Filtering

In the field of computer science, data mining facilitates the extraction of useful knowledge and patterns from a huge amount of data. Various techniques exist in the data mining domain to explore the links, associations, and patterns from data in data warehouses. Among these techniques, clustering is more prominent in analyzing raw and unlabeled data from a large volume of datasets. The clustering mechanism identifies similar features between data objects and arranges them into clusters. In this paper, we have compared the performance of K-Mean and XMean clustering algorithms using two datasets of student enrollment in higher education institutions. Our methodology incorporated ontology to filter the datasets and exploited Rapidminer environment to evaluate the performance of clustering algorithms. The results showed that X-Mean is more suitable for large datasets in terms of discovery and accuracy of clusters

Recent Advances in Big Data: Features, Classification, Analytics, Research Challenges, and Future Trends

Dealing with big data at present involves several procedures, including storage, processing, indexing, integration, and governance; thus, it poses a major challenge to application developers and research scientists. The challenge increases when accurate results must be obtained for queries in decision-making and cognitive applications regarding various disciplines and industries. A variety of literature on big data is available. However, big data must still be understood through various aspects, such as features, classification, analytics, research challenges, and future trends. This study provides a deep understanding of big data features, classification, and manipulation. An improved understanding of big data analytics and recent research challenges is also provided. Additionally, future trends are discussed for researchers. In conclusion, a vision to wisely and accurately improve information retrieval or search is presented to make better decisions using big data

A Novel Method for Ranking a Website Rating via Search Engine Optimization

Everyone uses the internet and a search engine (SE) to find what they need, making SE indispensable. Search engines are used to find any sort of information, which is why most companies want to rank well in SE result pages in order to reach their ideal clients. Without a website, companies nowadays have little chance of competing in the industry. As a consequence, the companies have prioritized and funded efforts to improve their website SE rankings. There are a plethora of methods that may be used to optimize a website for search engines. These methods come under a heading, namely, search engine optimization (SEO) by webmasters. In this research, we propose a methodology that combines on-page and off-page SEO strategies to improve user search and website ranking over SE. The proposed method outperforms in terms of website ranking, whereby a website ranking is improved from fifth to second position on Google SE.  This significant shift illustrates that on and off page SEO can work together to boost a website visibility over SE result page

Mutational analysis of various sub genomic regions of HCV and their role in interferon therapy response

Combination therapy with interferon (IFN) and ribavirin for 24 to 48 weeks is the current standard treatment for chronic hepatitis C. Success rate is 67-80%. There are four subgenomic regions of HCV in which distinct mutations have been observed in response to IFN therapy; E2-PePHD, NS5A- ISDR, NS5A-PKRBD and NS5A-V3 domains. Current meta analysis gives comprehensive details of mutations in subgenomic regions and their role in non responsiveness to IFN treatment. It has been observed that E2-PePHD region is well conserved region and show high sensitivity to IFN-ribavirin tiherapy. The substitutions within the NS5A-ISDR to the treatment outcome are conflicting. Mutations within the NS5A-PKRBD of HCV type 1 are associated with a long-term sustained response to IFN-ribavirin therapy. There is a considerable association between efficacy of treatment and a high mutation rate within NS5A-V3 domain has been observed. There are also other domains of HCV i.e. IRRDR, CRS and NLS, but no significant mutations been studied in these regions, more research is to be required

An extensive unprovoked left lower extremity deep vein thrombosis secondary to an anatomical anomaly: a case of May-Thurner syndrome

May-Thurner syndrome (MTS) also known as Cockett’s syndrome is a rare condition responsible for 2%-3% of all cases of deep venous thrombosis (DVT). The thrombosis results from mechanical compression of the left common iliac vein against the body of the fifth lumbar vertebra by the right common iliac artery. Repetitive hyperplasia of the venous wall by compression results in spur formation that in turn causes venous flow obstruction and results in the DVT. Our case is a young female who had acute extensive proximal DVT due to MTS that was successfully managed using mechanical thrombectomy with a venous stent. MTS although a rare entity should be suspected especially in young patients with unilateral DVT with extensive clots especially on left lower extremity without any antecedent risk factors

Mutations in ISDR may be linked to high viremia and virus resistance to IFN-alpha-2b but responsive to PEG-IFN-alpha-2a

Mutation in interferon sensitivity determining region may play role in virus resistance. Genotype 3a patient was subjected to 48 weeks combination therapy of IFN-alpha-2b plus ribavirin but he showed high levels of viremia before, during and after treatment although his ALT level became normal. His IL-8 and TNF-alpha levels werefound quite high before and after IFN-alpha-2 combination therapy. While comparing its ISDR-NS5A with end of treatment responder patient, eight mutations were observed in a 52 amino acid protein residue. Patient was advised for PEG-IFN-alpha-2a combination therapy for 24 weeks, to which he responded well after 4 week and showed sustained virologic response after 06 months of completion of therapy. His IL-8 and TNF-alpha levels also came to lower levels after treatment with PEG-IFN-alpha 2a combination therapy. In phylogenetic tree its genome (NZ1) along with another nonresponder case (NZ2) was placed close to Brazilian isolates. NZI and NZ2 showed 87 % sequence homology with each other while NZ1 had 89% sequence homology with EF208017 and 87% with EF20995. NZ2 showed 91% homology with EF208017 and 98% with EF207995 which is quite interesting. Mutations in ISDR sequence may be the reason for non response to IFN combination therapy of this HCV genotype 3 patient. ISDR of genotype 3 along with IL-8 and TNF-alpha may be screened on larger scale in Pakistani population which may help in deciding a cost effective treatment plan