Digital Library Search Engine Research Articles

Influence of the Use of E-Learning Technologies on the Learning of Business Education Courses as Perceived by Business Education Students in South-South, Nigeria

The study was carried out to determine perceived influence of the use of e-learning technologies on the learning of Business Education courses in Public Universities in South-South, Nigeria. The study was guided by two research questions and two null hypotheses. The study adopted descriptive survey research design. The population of the study is eight hundred and seventy-nine final year students in public universities in South-South, Nigeria. The sample of size of 275 Business Education students, through Yaro Yamane formula was studied. Structured questionnaire containing 25 item entitled “Perceived influence of the use of e-learning technologies on the learning of Business Education courses” were used for data collection. The instrument was validated by three (3) experts. The Cronbach Alpha Reliability coefficient was 0.97 and 0.91. 275 copies of instrument were distributed; 250 copies were successfully retrieved from students. Mean (X) and Standard Deviation (SD) were used in analyzing the research questions. The null hypotheses were tested at 0.05 level of significance using t-test statistical tool. The findings showed that the use of digital library, video conference and Google search engine have positive influence on the learning of Business Education in Public Universities in South-South, Nigeria. The hypotheses tested showed there is no significant difference between the opinion of students in Federal and State Universities perceived influence of digital library in learning of Business Education courses, there is no significant difference in the mean ratings of male and female Business Education students on the perceived influence of the use of video conferencing in learning of Business Education courses, Nigeria and there is no significant difference in the mean ratings of Business Education Students in Federal and State Universities on the perceived influence of the use of Google Search Engine in learning of business education courses in public universities based on school ownership. Based on the findings of the study, it was concluded that, the use of digital camera, digital library, video conferencing and Google search engine are believed to have influence on the learning of Business Education courses in public universities in South-South, Nigeria. The study recommended among others that management of public universities in South-South zone of Nigeria should endeavour to adequately provide e-learning technologies identified in order to sustain e-learning in learning of business education courses. The educational implication is that the e-learning technologies for teaching and learning of Business Education courses influence teaching and learning of Business Education courses. Training and re-training of lecturers in the utilization of e-learning technologies should be adopted, because it will improve lecturers’ skills in business education courses and also help students to learn better and faster in the classroom.

Perceived Influence of the Use of E-Learning Technologies in Teaching Business Education Courses in Public Universities in South-South, Nigeria

The study was carried out to determine perceived influence of the use of e-learning technologies in teaching and learning of Business Education courses in Public Universities in South-South, Nigeria. The study was guided by two research questions and two null hypotheses. The study adopted descriptive survey research design. The population of the study is two hundred and thirty two (232) Business Educators in public universities in South-South, Nigeria. The entire population of 232 Business Educators was studied. Structured questionnaire containing 45 item entitled “Perceived influence of the use of e-learning technologies in teaching of Business Education courses” were used for data collection. The instrument was validated by three (3) experts. The Cronbach Alpha Reliability coefficient was 0.97 and 0.91. Two hundred and thirty two (232) copies of instrument were distributed, 225 were successfully retrieved from business educators. Mean (X) and Standard Deviation (SD) were used in analyzing the research questions. The null hypotheses were tested at 0.05 level of significance using t-test statistical tool. The findings showed that digital library and Google search engine have positive influence in teaching and learning of Business Education in Public Universities in South-South, Nigeria. The hypotheses tested showed that there is no significant difference in the mean ratings of business educators in Federal and State University on perceived influence of the use of digital library in teaching of Business Education in public universities and there is no significant difference in the mean ratings of the business educators in perceived influence of the use of Google search engine in teaching of business education in the public universities in the South-South geo-political zone of Nigeria based on school ownership (federal/ state). Based on the findings of the study, it was concluded that, the use of digital camera, digital library, video conferencing and Google search engine are believed to have influence in teaching and learning of Business Education courses in public universities in South-South, Nigeria. The study recommended among others that management of public universities in South-South zone of Nigeria should endeavour to adequately provide e-learning technologies identified in order to sustain e-learning in teaching and learning of business education courses. The educational implication is that the e-learning technologies for teaching and learning of Business Education courses influence teaching and learning of Business Education courses. Training and re-training of lecturers in the utilization of e-learning technologies should be adopted, because it will improve lecturers’ skills in business education courses and also help students to learn better and faster in the classroom.

Author Homepage Discovery in CiteSeerX

Scholarly digital libraries provide access to scientific publications and comprise useful resources for researchers. CiteSeerX is one such digital library search engine that provides access to more than 10 million academic documents. We propose a novel search-driven approach to build and maintain a large collection of homepages that can be used as seed URLs in any digital library including CiteSeerX to crawl scientific documents. Precisely, we integrate Web search and classification in a unified approach to discover new homepages: first, we use publicly-available author names and research paper titles as queries to a Web search engine to find relevant content, and then we identify the correct homepages from the search results using a powerful deep learning classifier based on Convolutional Neural Networks. Moreover, we use Self-Training in order to reduce the labeling effort and to utilize the unlabeled data to train the efficient researcher homepage classifier. Our experiments on a large scale dataset highlight the effectiveness of our approach, and position Web search as an effective method for acquiring authors' homepages. We show the development and deployment of the proposed approach in CiteSeerX and the maintenance requirements.

Large Scale Subject Category Classification of Scholarly Papers With Deep Attentive Neural Networks.

Subject categories of scholarly papers generally refer to the knowledge domain(s) to which the papers belong, examples being computer science or physics. Subject category classification is a prerequisite for bibliometric studies, organizing scientific publications for domain knowledge extraction, and facilitating faceted searches for digital library search engines. Unfortunately, many academic papers do not have such information as part of their metadata. Most existing methods for solving this task focus on unsupervised learning that often relies on citation networks. However, a complete list of papers citing the current paper may not be readily available. In particular, new papers that have few or no citations cannot be classified using such methods. Here, we propose a deep attentive neural network (DANN) that classifies scholarly papers using only their abstracts. The network is trained using nine million abstracts from Web of Science (WoS). We also use the WoS schema that covers 104 subject categories. The proposed network consists of two bi-directional recurrent neural networks followed by an attention layer. We compare our model against baselines by varying the architecture and text representation. Our best model achieves micro- measure of 0.76 with of individual subject categories ranging from 0.50 to 0.95. The results showed the importance of retraining word embedding models to maximize the vocabulary overlap and the effectiveness of the attention mechanism. The combination of word vectors with TFIDF outperforms character and sentence level embedding models. We discuss imbalanced samples and overlapping categories and suggest possible strategies for mitigation. We also determine the subject category distribution in CiteSeerX by classifying a random sample of one million academic papers.

Antipsychotic medication therapy during the holy month of Ramadan: a literature review

Pharmacology, Toxicology and Biomedical Reports,2019,5,2,79-83.DOI:10.5530/PTB.2019.5.14Published:July 2019Type:Review ArticleAuthors:Yousef Ahmed Alomi, Jude Alhowaidi, Raneem Alzeer, Ali Alhowaidi, and Nora Alhowaidi Author(s) affiliations:Yousef Ahmed Alomi*, General Administration of Pharmaceutical Care, Ministry of Health, Riyadh, SAUDI ARABIA. Jude Alhowaidi, General Administration of Pharmaceutical Care, Ministry of Health, Riyadh, SAUDI ARABIA. Raneem Alzeer, General Administration of Pharmaceutical Care, Ministry of Health, Riyadh, SAUDI ARABIA. Ali Alhowaidi, General Administration of Pharmaceutical Care, Ministry of Health, Riyadh, SAUDI ARABIA. Nora Alhowaidi, General Administration of Pharmaceutical Care, Ministry of Health, Riyadh, SAUDI ARABIA. Abstract:Objectives: To review the antipsychotic medication therapy during the holy month of Ramadan. Methods: In this study, we performed an extensive search of 50 databases through the Saudi Digital Library search engine. We included meta-analysis, randomized controlled studies and observational studies published in English language in May 2017. The search terms included Ramadan, fasting, medication, therapy, type of disease, and medication based on therapeutic class. The search on antipsychotic and anti-epileptic medication list and switch from regular days to Ramadan days included comparative safety, efficacy and cost of type of medication for each disease and national or international evidencebased guidelines including those switching short half-life to long half-life drugs. All nonoral dosage form of medication will be excluded in this study. All medications should be documented in the Ministry of Health drug formulary. Results: A total of 710 studies were shortlisted after an extensive search with specific terms. Of those, 104 studies were duplicate studies; therefore only 606 studies were included for further evaluation. The evaluation revealed that 27 studies discussed about the antipsychotic medications and Ramadan. Of these, only five were appropriate for further revision. According to our results, most of the studies were observational studies and a few have conducted experimental design studies. Three studies have a shared or similar study design (i.e., reports). Among all the reports analyzed in this study, most of them used study design. On the contrary, three studies mentioned the utilization of a descriptive approach; however, none of the studies mentioned the exact type of descriptive analysis conducted. One study was a clinical review and another study mentioned the applicability of a randomized controlled trial. Based on this, the authors suggested switching the antipsychotic and anti-epileptic medication from regular days to Ramadan days. Conclusion: There are no randomized clinical trials in the literature to validate the switching of medication from regular to Ramadan days. A list of antipsychotic medications that can be used to switch during Ramadan is highly warranted. Further studies to validate the medication used to treat psychiatric conditions during the holy month of Ramadan is recommended. Keywords:Antipsychotic, Medication, Ramadan, Review, TherapyView:PDF (180.89 KB) PDF PDF Images The selected studies conducted during the holy month of Ramadan.

Drug therapy for chronic diseases during the holy month of Ramadan: a literature review

Pharmacology, Toxicology and Biomedical Reports,2019,5,2,75-78.DOI:10.5530/PTB.2019.5.13Published:July 2019Type:Review ArticleAuthors:Yousef Ahmed Alomi, Ban Abdullah Aldosary, Nasser Faleh Aldawas, and Rana Mohammed Alslim Author(s) affiliations:Yousef Ahmed Alomi*, General Administration of Pharmaceutical Care, Ministry of Health, Riyadh, SAUDI ARABIA. Ban Abdullah Aldosary, Pharmaceutical Care Department, Al-Amel Mental City, Ministry of Health, Riyadh, SAUDI ARABIA. Nasser Faleh Aldawas, Consultant Gastroenterologist, Ministry of Health, Riyadh, SAUDI ARABIA. Rana Mohammed Alslim, Ministry of Health, Riyadh, SAUDI ARABIA. Abstract:Objectives: In this study, we aimed to review the drug therapy for chronic diseases during the holy month of Ramadan. Methods: In this study, we conducted an extensive search of 50 databases through the Saudi Digital Library search engine. We included meta-analysis, randomized controlled studies and observational studies published in English language in May 2017. The search terms included Ramadan, fasting, medication, therapy, type of disease, and medication based on therapeutic class. Medication list related to the gastrointestinal tract diseases, asthma and rheumatoid arthritis and the switch from regular days to Ramadan days revealed comparative safety, efficacy studies, cost of type of medication for each disease studies and national or international evidence based guidelines of switching short halflife to long half-life. All parenteral dosage form of medication were excluded from the analysis. All medications should be listed in the MOH drug formulary. Results: A total of 710 studies were obtained after an extensive search with specific terms. Of those, 104 studies were duplicate studies and 606 studies were included for further evaluation. The evaluation revealed that 27 studies investigated medications related to the gastrointestinal diseases and Ramadan and 15 studies were about medicines for asthma and rheumatoid arthritis and Ramadan. Of those 42 studies of Ramadan and chronic diseases, only 5 studies were found to be appropriate for further evaluation. The suggested draft of list of medications of chronic diseases from regular days to the Ramadan days is explored in the review. Conclusion: The guidelines medications of chronic disease (Asthma, RA, GIT disease) intake during the holy month of Ramadan is not found. The studies of drug schedules in Ramadan does not exist. The investigations about medications therapy of chronic disease are highly recommended in Muslim countries. Keywords:Chronic diseases, Drug, Literature, Ramadan, Review, TherapyView:PDF (185.67 KB) PDF PDF Images The Chronic Diseases (GIT, RA, Asthma) studies conducted during the holy month of Ramadan.

Intake of antibiotics and fasting during the holy month of Ramadan: A Literature Review

Pharmacology, Toxicology and Biomedical Reports,2019,5,2,65-68.DOI:10.5530/PTB.2019.5.11Published:July 2019Type:Review ArticleAuthors:Yousef Ahmed Alomi, Mohammed Abdulaziz Altuwaijri, Mohsen Huraybie Alshammari, and Nouf Hameed Al-Muallad Author(s) affiliations:Yousef Ahmed Alomi*, General Administration of Pharmaceutical Care, Ministry of Health, Riyadh, SAUDI ARABIA. Mohammed Abdulaziz Altuwaijri, ENT Consultant, King Saud Medical City, Riyadh, SAUDI ARABIA. Mohsen Huraybie Alshammari, Hail Maternaty and Childern Hospital, Ministry of Health, Hail, SAUDI ARABIA. Nouf Hameed Al-Muallad, Ibn Sina College Hospital, Jeddah, SAUDI ARABIA. Abstract:Objectives: To review the intake of antibiotics and fasting during the holy month of Ramadan. Methods: In this study, we performed an extensive search of 50 databases following the Saudi Digital Library search engine. We included meta-analysis, randomized controlled studies and observational studies published in English language with human study only for update May 2017. The search terms included Ramadan, fasting, medication, therapy, type of disease and medication based on therapeutic class. The list of antibiotic medication and switch from regular days to Ramadan days based on literature search revealed comparative safety studies, efficacy studies and cost of type of medication for each disease studies and national or international evidence-based guidelines of switching short half-life to long halflife. All parenteral dosage form of medication were excluded from study. All medications should be listed in the Ministry of Health drug formulary. Results: A total of 710 studies were obtained after an extensive search with specific terms. Of those, 104 studies were duplicate studies and 606 were considered for further evaluation. After evaluation, we obtained 30 studies which discussed about the antibiotics and Ramadan. Of these 30 studies, only 2 studies were found to be appropriate for further revision. Among the two, one study was an observational study regarding the pattern of prescribing antibiotics during the holy month of Ramadan. The second study was about the systemic review on the safety of fasting and several infectious diseases. The suggested draft of list of antibiotic switch from regular days to the holy Ramadan days was explored in this review. Conclusion: The investigations about antibiotics intake during fasting not found. The studies of antibiotic during the holy month of Ramadan is required during legal registrations at all Muslim countries. Antibiotics switch therapy during fasting is highly recommended at all Muslim patients in the world. Keywords:Antibiotics, Fasting, Literature, Ramadan, ReviewView:PDF (190.51 KB) PDF PDF Images Table 1: The antibiotic studies conducted during the holy month of Ramadan.

An Approach for Focused Crawler to Harvest Digital Academic Documents in Online Digital Libraries

With the rapid growth of digital information and user need, it becomes imperative to retrieve relevant and desired domain or topic specific documents as per the user query quickly. A focused crawler plays a vital role in digital libraries to crawl the web so that researchers can easily explore the domain specific search results list and find the desired content against the query. In this article, a focused crawler is being proposed for online digital library search engines, which considers meta-data of the query in order to retrieve the corresponding document or other relevant but missing information (e.g. paid publication from ACM, IEEE, etc.) against the user query. The different query strategies are made by using the meta-data and submitted to different search engines which aim to find more relevant information which is missing. The result comes out from these search engines are filtered and then used further for crawling the Web.

One-step versus two-step impression techniques; a literature review

ObjectiveThe aim of this literature review was to compare one-step impression technique versus two-step impression technique regarding their dimensional accuracy. MethodologyA Medline search was conducted through PubMed and Saudi Digital Library search engine using the following terms “impression techniques”, “conventional techniques”, “one-step”, “two-step” and “accuracy”. The search reviewed between 2008 and 20018. Twenty-nine articles were screened. Nine articles were assessed for eligibility out of which six were included. ResultsThree articles found that one-step impression technique had better dimensional accuracy than two-step impression technique. While the other articles showed that two-step impression technique had better dimensional accuracy than one-step impression technique. ConclusionWithin the limitations of this review, both one-step and two-step impression techniques exhibited acceptable dimensional accuracy. There are still controversies about the accuracy of one-step impression technique versus that of two-step impression technique, so more extensive in-vivo clinical studies should be performed.

Digital library keyword analysis for visualization education research

Purpose The purpose of this paper is to assess the efficacy of the Institute of Electrical and Electronics Engineers (IEEE) Xplore digital library search engine to return relevant materials on information visualization pedagogy literature and to recommend search strategies to assist the digital library academic readership improve the efficacy of their search tasks. Furthermore, the results are of interest to general readers using similar digital repositories. Design/methodology/approach An initial scoping review using EBSCO Discovery services returned the number and accessibility of sources and publications-based various Boolean searches. A revised search strategy focused the search to IEEE publications as the primary source of visualization research. A corpus of keywords were extracted from the 44 relevant articles and analyzed for relevance, keyword trends and contexts of use. Findings Keyword analysis results show visualization education research is confounded by several information retrieval issues: relevancy, incomplete taxonomy, non-standard lexicon, diverse disciplines and under-representation. Recommendations include: search strategies, alternative digital collections, a potential opportunity for research in information visualization pedagogy to address this gap in an emerging field and the need for more effective interactive tools to assist with keyword selection. Research limitations/implications The study focused on the IEEE publications as the primary source of visualization research. Practical implications A repository of visualization education research that is easily findable and relevant benefits both faculty using information visualization in their teaching and academics whose work must be disseminated to the broadest audience. Strategic keyword selection, interactive keyword tools or more robust thesaurus will enable IEEE Xplore digital library users to optimize their interaction with the system. Furthermore, results suggest a need for more research in information visualization pedagogy. Originality/value This is the only study to uniquely assess the efficacy of the IEEE Xplore digital library database system to retrieve relevant visualization education literature based on keyword search.

SYSTEMATIC MAPPING STUDY ON MANAGING VARIABILITY IN SOFTWARE PRODUCT LINE ENGINEERING

Revision for literature and searching for the sources of an information in the different database are considered to be the most important pillar of the scientific research, whether a researcher, academic in preparing the scientific documents or any research. That is the most important part which helps the researcher in understanding any subject or research, besides it helps him to know the different opinions regarding the subjects, thus, it provides the researcher with the suitable and correct information that helps him to take the right decision regarding his study and knowing the possible ways he needs to. This paper has been prepared, according to the tables and charts showing the progress of the workflow that was chosen in the name managing variability in software product line engineering .the systematic mapping study process, it has gone through several stages in the first of, the search process automatic and manual in various databases IEEE Xplore, ACM digital library and other search engine, conference, relevant journals, etc.). All of them process provide snowballing papers. It provides (1450) papers and other types (book, technical reports, litterateur, others). Second stage we did screening of papers according to (inclusion, exclusion) criteria. And the subsequent process were filtering process produced (77) final papers after three filters ,distribution of primary studies coordinating years, classifications charts in to ( facet1, facet2, facet3), representation finding by using bubble chart mapping between domain and different types of our subject (classes of research, managing variability SPLE type) . The concluding remarks were after indexing (77) papers its relationship out of (1450) papers. These papers (77) provide to answer question relevant managing variability in software product line engineering. [1]

CiteSeerX: AI in a Digital Library Search Engine

CiteSeerX is a digital library search engine that provides access to more than 5 million scholarly documents with nearly a million users and millions of hits per day. We present key AI technologies used in the following components: document classification and deduplication, document and citation clustering, automatic metadata extraction and indexing, and author disambiguation. These AI technologies have been developed by CiteSeerX group members over the past 5–6 years. We show the usage status, payoff, development challenges, main design concepts, and deployment and maintenance requirements. We also present AI technologies, implemented in table and algorithm search, that are special search modes in CiteSeerX. While it is challenging to rebuild a system like CiteSeerX from scratch, many of these AI technologies are transferable to other digital libraries and search engines.

Comparison of Decision Tree Methods in Classification of Researcher’s Cognitive styles in Academic Environment

In today's internet world, providing feedbacks to users based on what they need and their knowledge is essential. Classification is one of the data mining methods used to mine large data. There are several classification techniques used to solve classification problems. In this article, classification techniques are used to classify researchers as "Expert" and "Novice" based on cognitive styles factors in academic settings using several Decision Tree techniques. Decision Tree is the suitable technique to choose for classification in order to categorize researchers as "Expert" and "Novice" because it produces high accuracy. Environment Waikato Knowledge Analysis (WEKA) is an open source tool used for classification. Using WEKA, the Random Forest technique was selected as the best method because it provides accuracy of 92.72728. Based on these studies, most researchers have a better knowledge of their own domain and their problems and show more competencies in their information seeking behavior compared to novice researchers. This is because the "experts" have a clear understanding of their research problems and is more efficient in information searching activities. Classification techniques are implemented as a digital library search engine because it can help researchers to have the best response according to their demand.

CiteSeerX: AI in a Digital Library Search Engine

CiteSeerX is a digital library search engine that provides access to more than 4 million academic documents with nearly a million users and millions of hits per day. Artificial intelligence (AI) technologies are used in many components of CiteSeerX e.g. to accurately extract metadata, intelligently crawl the web, and ingest documents. We present key AI technologies used in the following components: document classification and deduplication, document and citation clustering, automatic metadata extraction and indexing, and author disambiguation. These AI technologies have been developed by CiteSeerX group members over the past 5–6 years. We also show the usage status, payoff, development challenges, main design concepts, and deployment and maintenance requirements. While it is challenging to rebuild a system like CiteSeerX from scratch, many of these AI technologies are transferable to other digital libraries and/or search engines.

Indri's suitability as a digital library search engine: an evaluation

Information Retrieval (IR) is the process of providing details or facts regarding to the user needs. IR generally investigates automated and mathematical model based solutions. In our investigation, we were able to build a new mathematical IR model in order to give the retrieved documents based on comparison of spaces among the terms in the query with the spaces among the same terms in the document. Therefore, our next step is to implement this new model into an existing IR tool. As this new tool, we have chosen INDRI (is an open-source toolkit designed to facilitate research in language modeling and information retrieval), due to its much supportive features (flexibility and feasibility) which are available. Furthermore, this research seeks the fact, how far INDRI fulfills the requirements that a search engine inside a digital library should comprise. Keywords: digital libraries, information retrieval, information searching tools Journal of the University Librarians Association of Sri Lanka, Vol.13 (Special Issue). 2009 165-179

ResultMaps: Visualization for Search Interfaces

Hierarchical representations are common in digital repositories, yet are not always fully leveraged in their online search interfaces. This work describes ResultMaps, which use hierarchical treemap representations with query string-driven digital library search engines. We describe two lab experiments, which find that ResultsMap users yield significantly better results over a control condition on some subjective measures, and we find evidence that ResultMaps have ancillary benefits via increased understanding of some aspects of repository content. The ResultMap system and experiments contribute an understanding of the benefits--direct and indirect--of the ResultMap approach to repository search visualization.