In meta-analysis based on continuous outcome, estimated means and corresponding standard deviations from the selected studies are key inputs to obtain a pooled estimate of the mean and its confidence interval. We often encounter the situation that these quantities are not directly reported in the literatures. Instead, other summary statistics are reported such as median, minimum, maximum, quartiles, and study sample size. Based on available summary statistics, we need to estimate estimates of mean and standard deviation for meta-analysis.We developed an R Shiny code based on approximate Bayesian computation (ABC), ABCMETA, to deal with this situation. In this article, we present an interactive and user-friendly R Shiny application for implementing the proposed method (named ABCMETAapp). In ABCMETAapp, users can choose an underlying outcome distribution other than the normal distribution when the distribution of the outcome variable is skewed or heavy tailed. We show how to run ABCMETAapp with examples. ABCMETAapp provides an R Shiny implementation. This method is more flexible than the existing analytical methods since estimation can be based on five different distributions (Normal, Lognormal, Exponential, Weibull, and Beta) for the outcome variable.

NoSQL databases outperform the traditional RDBMS due to their faster retrieval of large volumes of data, scalability, and high performance. The need for these databases has been increasing  in recent years because data collection is growing tremendously. Structured, unstructured, and semi- structured data storage is allowed in NoSQL, which is not possible in a traditional database. NoSQL needs to compensate with its security feature for its amazing functionalities of faster data access and large data storage. The main concern exists in sensitive information stored in the data. The need to protect this sensitive data is crucial for confidentiality and privacy problems. To understand the severity of preserving sensitive data, recognizing the security issues is important. These security issues, if not resolved, will cause data loss, unauthorized access, database crashes by hackers, and security breaches. This paper investigates the security issues common to the top twenty NoSQL databases of the following types: document, key-value, column, graph, object- oriented, and multi-model. The top twenty NoSQL databases studied were MongoDB, Cassandra, CouchDB, Hypertable, Redis, Riak, Neo4j, Hadoop HBase, Couchbase, MemcacheDB, RavenDB, Voldemort, Perst, HyperGraphDB, NeoDatis, MyOODB, OrientDB, Apache Drill, Amazon, and Neptune. The comparison results show that there are common security issues among the databases. SQL injection security issues were detected in eight databases. The names of the databases were MongoDB, Cassandra, CouchDB, Neo4j, Couchbase, RavenDB, OrientDB, and Apache Drill.

Graduate teaching assistants (GTAs) play an important instructional role in teaching undergrad- and graduate-level courses, yet they receive very little training. The most common form of teaching professional development to GTAs is a pre-semester workshop held at the course, department, or college level. In this study, we describe the development, implementation, and evaluation of GTA training programs using the ADDIE model (Analysis, Design, Development, Implementation, and Evaluation). We used observation and interviews for data collection. ADDIE is generally used in instructional design. The results show the value of utilizing ADDIE in developing and evaluating a training program. It is intended to analyze the multi-dimensional connection of designing a training program: meeting expectations of trainees seeking to acquire skills sets as well as understanding the nuances and navigating the complex system that is needed to be successful on the job.

No abstract

Usability evaluation clarifies the user’s comfortability, satisfaction, and experience with a product. The success of the product is solely dependent on the usability factor. Web applications are excellent channels to communicate between the customers and the suppliers, for satisfying users' needs. Particularly usability evaluation of web applications plays an important role in observing the design, content, and navigation of a website. These observations help to improve the design of a web application. A proper design and content management of a web application acts as a gateway to attract more customers to use their application. Customer satisfaction would also help increase business for that particular company. The restaurant recommender web application acts as a medium for customers and restaurants. These applications help the food industry to attract customers. If the mode of communication is not effective, restaurants fail to promote their food business to the customers.  Previous research studies focused on business models, restaurant reviews, and offers provided by restaurant recommenders, instead of usability evaluation.  The goal of this research study is to test the efficiency and effectiveness of zomato.com through usability evaluation. The importance of this research study is to help both Zomato and other applications to increase their popularity. The methodology used was both think aloud and observations. The results were satisfactory and informative. The average time taken for website navigation tasks was 20.5 minutes. 100% satisfaction with restaurant reviews. 33% satisfaction for restaurant search and location information. 33% were not willing to re-use the Zomato website. These results convey that user satisfaction plays a major role in users returning to a website. This could be one reason for less web usage traffic in Zomato, hence leading to unpopularity. Recommendations and future research were also discussed.

We are aware of the tremendous growth of new mobile phones released in the market every year. The increase in the users’ needs with respect to the new devices is not to be ignored as well. Each product has so many brands with n-number of models and versions.The way the users choose to buy these products is perplexing. For example,decision made to buy a new mobile or change to new brand or even continuing the same brand is not an easy task. The user acceptance for any new behavior is very complex. This paper explores all the possible human factors connected to either pleasant or unpleasant user experiences. Various researchstudies discovered that loyalty of the users for a particular brand plays an important role for the success of the product. Long- term usage of the product by a user would have a negative impact, as the user is not willing to switch to other brands and this has a positive impact on the companies. User memory, expectations and experiences are closely knit to understand the user acceptance for choosing a product. A positive emotion such as pleasant user experience is significant because users recommend the products to others based on these emotional experiences. Age plays an important role with respect to user experience. Old age users were not enthusiastic in going for a change as they preferred to continue with the same technology. Cultural aspects of users are interesting to know in understanding the product purchases. There was biased information regarding user’s visual attractiveness and long- term usage memory. Certain studies explored UX curve and user burden scale that was used to analyze user experiences. It was interesting to know sensory characteristics formed a base for both pleasant and unpleasant user experiences. This research will help companies of mobile devices in identifying the various factors (both positive and negative) related to user experiences and behavior. Future research will be conducted in the areas of short-term user experience and in areas where illiteracy prevail. This study will help the companies to improve their product better based on customer satisfaction.

Customer support organizations cannot be successful without a knowledge management system. The customer support world will come to a standstill without these wonderful knowledge management systems. Hence knowledge management systems are backbone to any customer support organizations.In order for the customer support to function smoothly, the relationship with knowledge management systems should be mutual.Therefore, measuring the effective usage of knowledge system is necessary to understand their demand in customer support organizations. This study aims to conduct a literature review processas a starting point to understand the variables associated with knowledge management system. This process is necessary to conduct the actual research. Initial idea of the research problem and conceptual framework is discussed in introduction section. Detailed literature review for sixteen research papers is explained in review of literature. This section starts with each independent variable and its corresponding research paper. Each research’s literature review process is explained as research problem (what, so what, because why, goal), data collection and analysis, results, conclusions, supporting studies, limitations, implications, and impact. Finally, it is explained how the problem was revisited. Future research is to implement this research idea with the proposed methodology.

There is a lot of research done so far. Each of the studies provides detailed information about theWeb attacks that occurred, and the precautions taken and implemented. However, we still find that the Web attacksexisteven all the solutions, research and security policy are provided. None of the studies explain why this problem persists even after multiple solutions have been suggested. There is no evidence as to why a permanent solution has not been discovered so far. At least one solution so that similar attacks do not repeat. Take for example the antivirus we use on our PC, it's very simple to understand. If we do not use this antivirus, our PC will be attacked by deadly viruses that can damage our computer. This is why anyone who owns a PC should definitely have anti- virus software installed. Similarly, developing software to resist Web attacks will be a very good solution to solve the problem of Webattacks. Development of this particular software was only possible after the discovery of possible attacks related to script attacks on multiple Websites. To find the gap, the proposed study should be done according to the details mentioned in the methodology section. Both dependent and independent variable as Web attacks and Web master has been proposed. Hypothesis for this proposal is defined based on these variables.