Computer Science

With the advent of huge data management systems storing voluminous data, there arises a need to develop eecient data analytics techniques for knowledge discovery at diierent levels of granu-larity. Resource Description Framework (RDF), mainly developed for Semantic Web, is presumably a good option when considering graph databases dealing with huge real-world data. RDF models information in the form of triples <subject, predicate, object>, and is considered as a useful tool to store graph data (aka linked data) where each edge can be stored as a triple. Due to existence of huge amount of linked data, mostly in the form of graphs, graph mining has been successful in aaracting researchers from diierent research elds for eecient handling (storage, indexing, retrieval, etc.) of graph data. As a result, various APIs like GraphX and GraphFrames are developed to facilitate relational queries over graph data. ough GraphX is older than GraphFrames and processing SPARQL queries over GraphX has been explored by some researchers, to the best of our knowledge, SPARQL query processing over GraphFrames has not been explored yet. In this paper, we present an initial study on query-speciic search space pruning and query optimization approach to process SPARQL queries over GraphFrames in an eecient manner. e experimental results, in terms of low response time for query execution, are encouraging, and give way to invest more research eeorts in this direction.

With the advent of huge data management systems storing voluminous data, there arises a need to develop efficient data analytics techniques for knowledge discovery at different levels of granularity. Resource Description Framework (RDF), mainly developed for Semantic Web, is presumably a good option when considering graph databases dealing with huge real-world data. RDF models information in the form of triples , and is considered as a useful tool to store graph data (aka linked data) where each edge can be stored as a triple. Due to existence of huge amount of linked data, mostly in the form of graphs, graph mining has been successful in attracting researchers from different research fields for efficient handling (storage, indexing, retrieval, etc.) of graph data. As a result, various APIs like GraphX and GraphFrames are developed to facilitate relational queries over graph data. Though GraphX is older than GraphFrames and processing SPARQL queries over GraphX has been explored by ...

NoSQL (Not only SQL) is a database used to store large amounts of data. NoSQL databases are distributed, non-relational, open source and are horizontally scalable (in linear way). NoSQL does not follow property of ACID as we follow in SQL. In this research paper, we are surveying about NoSQL, its background, fundamentals like ACID, BASE and CAP theorem. Also on the basis of CAP theorem, study is carried out about the various types of NoSQL data stores with their examples, characteristics, and pros and cons of NoSQL. NoSQL stands for Not Only SQL. It is pronounced as noseequel. It is one of the another type of data storage other than databases (that were used earlier) that is used to store huge amount of data storage like data in facebook (which keeps on increasing day by day). NoSQL is a non-relational database management system (sometimes called as derived from relational database), fast information retrieval database and is portable. NoSQL basically derives from RDB database system. This database usually interacts with the UNIX operating system. NoSQL databases are those databases that are non-relational, open source, distributed in nature as well as it is having high performance in a linear way that is horizontally scalable. Non-relational database does not organize its data in related tables (i.e., data is stored in a non-normalized way). NoSQL databases are open source; therefore, everyone can look into its code freely, update it according to his needs and compile it. Distributed means data is spread to different machines and is managed by different machines so here it uses the concept of data replication. NoSQL may be symbolically represented as shown in figure 1: Figure 1: Symbolic representation of NoSQL Figure 1 states the querying to database without any interaction or interface of SQL language. The tilted line in the figure shows database usage without using SQL (Structured Query Language). So, to access these databases we can use some other formats like XML to store and retrieve information from the database. With the advent of social networking sites like facebook and twitter, the demand of new technology that can handle huge amounts of data has lead the emergence of various new technologies and one of the prominent is NoSQL which is quite helpful in data warehousing. NoSQL (non-relational) is comparatively faster than relational databases.. Previously, in SQL, we were using Query language to fetch as well as to store data; for NoSQL we store large data entities using documents in XML (eXtensible Mark up Language) formats. XML language is basically used to store structured data in a human readable form. This is further discussed in later sections.

BackgroundEpidemiological features characterization of COVID-19 is highly important for developing and implementing effective control measures. In Saudi Arabia mortality rate varies between 0.6% to 1.26%. The purpose of the study was to investigate whether demographic characteristics (age and gender) and non-communicable diseases (Hypertension and Diabetes mellitus) have a significant association with mortality in COVID-19 patients.MethodsPrior to data collection, an expedite approval was obtained from Institutional Review Board (IRB Log No: RC. RC20.09.10) in Al Habib Research Center at Dr. Sulaiman Al-Habib Medical Group, Riyadh, Saudi Arabia. This is a retrospective design where we used descriptive and inferential analysis to analyse the data. Binary logistic regression was done to study the association between comorbidities and mortality of COVID-19.Results43 (86%) of the male patients were non-survivors while 7 (14%) of the female patients were survivors. The odds of non-surviv...

One of the roles of educational institutions in the context of this service is to deliver a special activity in the form of practical skills to the community. For this reason, it has been determined as the object of counseling, namely the Gabusbanaran Village Community including IPNU, IPPNU, and PKK Cadres. Screen printing using clothes bleach is an innovation from screen printing in which the coloring material relies on the color fading of a garment, which is made using materials that we use every day. Screen printing using clothes bleach also has good prospects in the convection field because there are no screen printing services in this area and there are not many service businesses using cloth bleach screen printing. The approach or method used is Service Learning (SL). From the implementation of the Screen Printing Skill activity using clothes bleach in the context of community service in Gabusbanaran Village, Tembelang District, Jombang Regency. Broadly speaking, it can be con...

Background: The novel influenza A (H1N1) virus was first detected in March 2009 in Mexico and then disseminated to many other countries worldwide. In this study, we assessed the potential risk factors of swine flu as well as the most important clinical manifestations of this infectious disease among confirmed cases during early phase of pandemic H1N1.Methods: Subjects (cases and controls) were selected from those patients with signs and symptoms of respiratory tract infection who referred to health centers of eight cities throughout Hamedan Province, western Iran form July to December 2009. Characteristics of the participants were obtained by interviewers using pre-determined questionnaire. Cases were distinguished by pharyngeal soap speci-mens positive for influenza A virus using polymerase chain reaction (PCR). Logistic regression model was conducted at 0.05 significance level using Stata 9.1 statistical software to assess the effects of various risk factors on H1N1 influenza infe...