Scientific and technical information's restoration in the open access environment through smart search engines

Open access is one of the topics that attracted the researchers interest as it is a turning point for the recovery of technical and scientific information’s recovery which requires a set of tools and technical skills. This study aims to discover the main problems of information’s recovery within open access in addition to the inventory of the most important smart search engines and to know the strategies of information’s recovery. The study adopted the descriptive analytical approach, and came out with a number of important conclusions, the most important are : Searching for scientific and technical information in the open access environment has become a very difficult and the researcher does not know which of them is more useful. Relying on the common ranking of sites, smart search engines in its work, depends on semantic web applications, most notably XML, RDF and ontology, users can quickly find specific search results through smart search engines without having to become experts in search engines or have a well-defined strategies for searching within the open access environment. The study also showed that the semantic scholar search engine deals with open sources more efficiently than traditional search engines through its ability to discover these sources and display them to the beneficiary in a distinctive way.

Understanding Query Combination Behavior in Exploratory Searches

In exploratory search, users sometimes combine two or more issued queries into new queries. We present such a kind of search behavior as query combination behavior. We find that the queries after combination usually can better meet users’ information needs. We also observe that users combine queries for different motivations, which leads to different types of query combination behaviors. Previous work on understanding user exploratory search behaviors has focused on how people reformulate queries, but not on how and why they combine queries. Being able to answer these questions is important for exploring how users search and learn during information retrieval processes and further developing support to assist searchers. In this paper, we first describe a two-layer hierarchical structure for understanding the space of query combination behavior types. We manually classify query combination behavior sessions from AOL and Sogou search engines and explain the relationship from combining queries to success. We then characterize some key aspects of this behavior and propose a classifier that can automatically classify types of query combination behavior using behavioral features. Finally, we summarize our findings and show how search engines can better assist searchers.

Towards Named Data Networking for Internet of Things Search Engines

The advance of internet of things (IoT) techniques enables a variety of smart-world systems in energy, transportation, home, and city infrastructure, among others. To provide cost-effective data-oriented service, internet of things search engines (IoTSE) have received growing attention as a platform to support efficient data analytics. There are a number of challenges in designing efficient and intelligent IoTSE. In this chapter, the authors focus on the efficiency issue of IoTSE and design the named data networking (NDN)-based approach for IoTSE. To be specific, they first design a simple simulation environment to compare the IP-based network's performance against named data networking (NDN). They then create four scenarios tailored to study the approach's resilience to address network issues and scalability with the growing number of queries in IoTSE. They implement the four scenarios using ns-3 and carry out extensive performance evaluation to determine the efficacy of the approach concerning network resilience and scalability. They also discuss some remaining issues that need further research.

A New Content Based Search Mechanism for Image Retrieval Search Engine

In the growing world of technology, where everything is available in just one click, the user expectations has increased with time. In the era of Search Engines, where Google, Yahoo are providing the facility to search through text and voice and image , it has become a complex work to handle all the operations and lot more of data storage is needed. It is also a time consuming process. In the proposed Image retrieval Search Engine, the user enters the queried image and that image is being matched with the template images . The proposed approach takes the input image with 15% accuracy to 100% accuracy to retrieve the intended image by the user. But it is found that due to the efficiency of the applied algorithm, in all cases, the retrieved images are with the same accuracy irrespective of the input query image accuracy. This implementation is very much useful in the fields of forensic, defense and diagnostics system in medical field etc. .

Application of Virtual/Augmented Reality in Surgical Procedures

This chapter seeks to explore from the reflexivity approach the current state of virtual and augmented technologies in various surgical procedures, analyzing the most relevant technological progress as well as the latest practical applications that have been developed. Bibliographic, documentary, and descriptive were the methodologies of research; the information was collected from various scientific articles from indexed journals and websites, using keywords such as “virtual reality,” “augmented reality,” and “surgical procedure” in search engines. Furthermore, technological progress in various branches that include surgery is explored in this chapter, which is focused on the research and technology application of virtual and augmented reality as well as the challenges.

Trauma and Social Work in South Africa, Need for a Comprehensive Trauma Intervention Model for Social Workers

A significant proportion of South Africans are exposed to traumatic life experiences annually. The trauma is exacerbated by high crime rate which ranges from murder, violence, house breaking and theft. The trauma victims end up in the hands of social workers who are ill prepared to deal with such clients. The motivation for this study was built on assessments that indicated at the time of the study that social work students in South Africa receive little or no training on trauma and trauma intervention. The purpose of this literature study was to draw together relevant knowledge on trauma in South Africa, trauma intervention and the importance of trauma intervention training for social workers in South Africa. Articles reviewed were identified through search engines such as Google Scholar, JSTOR, ProQuest, EBSCOHost, Boloka-NWU Institutional Repository (NWU-IR), Scopus, Science Direct and Web of Science were the databases and search engines utilized in the search. The inclusion criteria that were used to help identify relevant and recent studies using key words regarding the topic of trauma, were chapters in books; conference proceedings; full-text journal articles and higher degree papers. The literature consulted exposes how South Africans are exposed to traumatic life events and provided a deeper understanding of the problem of trauma and trauma intervention. The literature study also clarified why it is critical to have a trauma intervention model for social workers in South Africa and provided guidelines for the development of the trauma intervention manual.

Unavoidable Mathematics

Historically, most students really have been struggling with mathematics, which for the most part specifically makes them wonder if they will ever generally apply the knowledge in general sort of real world life, contrary to popular belief. Teachers and parents mostly particularly admit when they kind of really have been kind of kind of asked that students for all intents and purposes actually have very definitely for all intents and purposes few knowledge about the relevance of mathematics in real life, or so they thought. That essentially is why this paper really mostly is based on application of maths in particularly generally real life, or so they definitely thought, or so they really thought. In this paper the most common and pretty essential applications of mathematics in real life literally generally are discussed such as finance and banking, weather prediction, computers and its games, search engines (goggle), music and Transportation and logistics in a subtle way in a very major way. Apart from these some mostly advanced applications are also discussed actually such as satellite navigation, military and Defence and crime prediction in a particularly big way. Keywords: Mathematics, Real life, Finance and Banking, Satellite Navigation, Military and Defence

Information Behavior of Faculty Members of NSTU, Public University of Bangladesh

The study’s main purpose was to investigate faculty members’ information searching behaviors while administering any research. This study designed an online questionnaire and printed questionnaires used for data collection. The data were analysed using several descriptive statistics, such as frequencies, percentages, and non-parametric tests, i.e., Mann-Whitney and Kruskal-Wallis. The findings showed that faculty members were heavily dependent on search engines to access information, and they have mainly used academic social media sites such as Google Scholar (n=139) and ResearchGate (n=133). Additionally, to keep up-to-date with new publications, they primarily relied on journal alerts (n=126). In the case of applying searching strategies, they used more than one keyword search and sometimes one keyword. Conversely, they do not apply proximity operators, discovery and federated tools and Boolean operators in their search techniques. Furthermore, for modifying search techniques, they used several keywords searching and utilise search engines, databases, and advanced search techniques. Moreover, the Mann-Whitney test result found no significant differences in terms of their gender regarding the types of e-resources used by them, and the Kruskal-Wallis tests found substantial differences in terms of faculty demographic characteristics of using only indexed databases, search engines, academic, social media sites (e.g., ResearchGate, and Zotero Network), current awareness services (i.e., Journal alerts, Web alerts, and discussion lists), and search techniques (i.e., Boolean operators, and Truncation).