Specific Search Engine Research Articles

The Need for Human Resource Management in the Novel Coronavirus (COVID-19) Crisis; A Meta-Synthesis Study

The Need for Human Resource Management in the Novel Coronavirus (COVID-19) Crisis; A Meta-Synthesis Study

Characteristics of teaching practices in Rural Education: analysis of actions related to teacher training and experience report of pedagogical methodologies proposals for the teaching of specific content

Características das práticas de ensino na Educação do Campo: análise de ações relacionadas à formação de professores e relato de experiências de propostas de metodologias pedagógicas para o ensino de conteúdos específicos A Educação do Campo-EC envolve elementos próprios que são representativos do modo de viver no campo. Em uma breve busca de referências relacionadas com a formação docente voltada à EC e também exemplos de propostas para o ensino de conteúdos, foi identificada uma aparente escassez de estudo acerca dessas temáticas. Diante disso, os objetivos deste estudo foram a identificação de características relacionadas à formação de professores para a EC e, além disso, apresentar exemplos práticos de metodologias pedagógicas para o ensino de assuntos específicos. Para isso, foi realizada uma pesquisa bibliográfica em artigos científicos bem como em base de dados e buscador específico. Os resultados confirmaram, para ambos os temas, as lacunas existentes na literatura científica. Os artigos encontrados, em geral, envolvem de modo predominante na análise da formação docente as regiões norte e nordeste. Já quanto as propostas de metodologias pedagógicas de ensino, os temas quase que exclusivamente, estão relacionados com ciências, biologia e sustentabilidade. Concluindo, há o entendimento de que outros componentes curriculares, tais como a língua portuguesa, matemática e outros, têm sido negligenciados, seja pelo entendimento de sua menor relevância em relação às disciplinas ou conteúdos citados, ou porque os pesquisadores não estejam produzindo pesquisas nesse contexto. Palavras-chave: educação do campo, pedagogia da alternância, formação de professores, metodologias pedagógicas. Characteristics of teaching practices in Rural Education: analysis of actions related to teacher training and experience report of pedagogical methodologies proposals for the teaching of specific content ABSTRACT. Rural Education-RE involves specific elements that are representative of the way of living in the countryside. In a brief search for references related to teacher education focused on CE and also examples of proposals for content teaching, an apparent lack of studies on these themes was identified. Therefore, the objectives of this study were to identify characteristics related to the training of teachers for CE and, in addition, to present practical examples of pedagogical methodologies for teaching specific subjects. For this, a bibliographic research was carried out in scientific articles as well as in a specific database and search engine. The results confirmed, for both themes, the gaps in the scientific literature. The articles found, in general, predominantly involve the analysis of teacher education in the North and Northeast regions. As for the proposals for pedagogical teaching methodologies, the themes are almost exclusively related to science, biology and sustainability. In conclusion, there is an understanding that other curricular components, such as Portuguese language, mathematics and others, have been neglected, either because of their understanding of their lesser relevance in relation to the subjects or contents mentioned, or because researchers are not producing research in this context. Keywords: rural education, alternation pedagogy, teacher training, pedagogical methodologies. Características de las prácticas docentes en Educación Rural: análisis de acciones relacionadas con la formación docente e informe de experiencia de propuestas de metodologías pedagógicas para la enseñanza de contenidos específicos RESUMEN. La Educación Rural-ER involucra elementos específicos que son representativos de la forma de vida en el campo. En una breve búsqueda de referencias relacionadas con la formación del profesorado centradas en la EC y también ejemplos de propuestas para la enseñanza de contenidos, se identificó una aparente falta de estudios sobre estos temas. Por tanto, los objetivos de este estudio fueron identificar características relacionadas con la formación de docentes para EC y, además, presentar ejemplos prácticos de metodologías pedagógicas para la enseñanza de materias específicas. Para ello, se realizó una búsqueda bibliográfica de artículos científicos, también en la base de datos y en un buscador específico. Los resultados confirmaron, para ambos temas, la brecha en la literatura científica. Los artículos encontrados, en general, involucran predominantemente el análisis de la formación docente en las regiones Norte y Nordeste. En cuanto a las propuestas de metodologías pedagógicas de enseñanza, los temas están casi exclusivamente relacionados con la ciencia, la biología y la sostenibilidad. En conclusión, se entiende que se han descuidado otras componentes curriculares, como lengua portuguesa, matemáticas y otros, ya sea por entender su menor relevancia en relación con las materias o contenidos mencionados, bien porque los investigadores no están produciendo investigación en este contexto. Palabras clave: educación rural, pedagogía de alternancia, formación docente, metodologías pedagógicas.

Assessment of Information Literacy Competency of Management Science Students at the University of Ilorin, Kwara State, Nigeria

The study examined the information literacy (IL) competencies of management science students at the University of Ilorin, Nigeria. A survey research design was adopted. Data was collected through a questionnaire developed by the authors. A total of 337 randomly selected undergraduate students from six departments represent the sample for the study. Six research questions were developed and answered. The findings demonstrate that respondents generally perceived information literacy IL as an insight on how to effectively and efficiently access and select needed information and as a tool for long-life learning. Respondents have high IL skills in the use of the internet to access information needed in their field and can assess such information from various sources. Competence in the circulation of information, identifying and locating information, and accessing sources and evaluating information are the areas of strength revealed in the study; while the weaknesses identified are inability to determine when information is needed, none awareness of specific search engines. The results also reveal that respondents can use IL skills to retrieve information, search the library, and use specific search terms. Prominent information literacy courses offered are the use of libraries, introduction to computers, and IL training on the use of popular search engines such as Google and Ask Me. The common factors confronting the teaching of IL are power supply, high cost of computers, and limited time available for IL practical and hands-on.

Services of cloud-oriented open science systems for supporting scientific and educational activities

The article reveals the essence of the concept of open science based on three main principles: open access to scientific publications, openresearch data, and open cooperation. The differences between traditional research and joint, collaborative parallel research are illustrated.The services of cloud-oriented open science systems are analyzed and systematized for use in scientific and educational activities: specialized search engines, content visualization services, services for efficient data storage and exchange, communication services, scientific papers repositories, etc. The European Open Science Cloud is characterized.

A Survey of Citation Recommendation Tasks and Methods

Scientific articles store vast amounts of knowledge amassed through many decades of research. They serve to communicate research results among scientists but also for learning and tracking progress in the field. However, scientific production has risen to levels that make it difficult even for experts to keep up with work in their field. As a remedy, specialized search engines are being deployed, incorporating novel natural language processing and machine learning methods. The task of citation recommendation, in particular, has attracted much interest as it holds promise for improving the quality of scientific production. In this paper, we present the state-of-the-art in citation recommendation: we survey the methods for global and local approaches to the task, the evaluation setups and datasets, and the most successful machine learning models. In addition, we overview two tasks complementary to citation recommendation: extraction of key aspects and entities from articles and citation function classification. With this survey, we hope to provide the ground for understanding current efforts and stimulate further research in this exciting and promising field.

Performance evaluation of web search engines in image retrieval: An experimental study

This experimental study used a checklist to evaluate the performance of seven search engines consisting of four Image General Search Engines (IGSEs) (namely, Google, Yahoo DuckDuckGo and Bing), and three Image Specialized Search Engines (ISSEs) (namely, Flicker, PicSearch, and GettyImages) in image retrieval. The findings indicated that the recall average of Image General Search Engines and Image Specialized Search Engines was found to be 76.32% and 24/51% with the precision average of 82/08% and 32/21%, respectively. As the results showed, Yahoo, Google and DuckDuckGo ranked at the top in image retrieval with no significant difference. However, a remarkable superiority with almost 50% difference was observed between the general and specialized image search engines. It was also found that an intense competition existed between Google, Yahoo and DuckDuckGo in image retrieval. The overall results can provide valuable insights for new search engine designers and users in choosing the appropriate search engines for image retrieval. Moreover, the results obtained through the applied equations could be used in assessing and evaluating other search tools, including search engines.

The “self-learning query” algorithm for searching scientific publications across specialized search engines

Typically, a search operation on Big Data is complicated task due to different formats and different nature of the data. To simplify it the user may implement special algorithms to process different data for uncertain criteria. The “self-learning query” algorithm presented in this work allows to search in Big Data either for certain or uncertain search criteria’s with minimum attention from the data programmer. It uses accumulated search statistics as the basis to make the result set more precisely according to the search criteria, so as long the user work with the system as more precise will be the results. The algorithm presented in this work allows data scientists to search for uncertain data and potentially discover results faster by offloading the burdens of data management and provenance to the expert system.

The Development of search engine service for official academic documents

Document search engines are necessary in educational institutions, where search engines are expected to find the right document quickly. Academic official documents are generally private so that public search engines such as Google cannot index and search these documents. Therefore, we need a specific search engine developed for educational institutions’ needs, in this case, Universitas Pendidikan Ganesha. This article discussed how to develop an academic official document search engine, starting from data retrieval and extraction, query parser development, and search engine evaluation. The query parser developed utilized the field annotation mapping mechanism and n-gram keyword mapping. The evaluation results showed a significant increase in performance compared to only using Solr’s Standard Query Parser.

Minireview: Current situation of cervical cancer in Ecuador, 2019

Cervical cancer is a neoplasm mainly caused by the human papillomavirus (HPV), which is acquired through sexual contact. Cervical cancer is more prevalent in low and middle income countries; 88% of worldwide deaths from this cause, occur in developing countries, such as Ecuador. The ELEVATE project (Early detection of cervical cancer in hard-to-reach populations of women through portable and point-of-care HPV testing), funded by the European Union, seeks to characterize the national context of this disease; with this purpose, we carried out a systematic search for scientific articles and gray literature, produced in Ecuador, using specialized search engines, and virtual repositories from universities and government institutions. KEYWORDS: UTERINE CERVICAL NEOPLASMS, HUMAN PAPILLOMAVIRUS, PAPANICOLAOU TEST, PREVENTIVE HEALTH SERVICES, ECUADOR

Lecithins from Vegetable, Land, and Marine Animal Sources and Their Potential Applications for Cosmetic, Food, and Pharmaceutical Sectors

The aim of this work was to review the reported information about the phospholipid composition of lecithins derived from several natural sources (lipids of plant, animal, and marine origin) and describe their main applications for the cosmetic, food, and pharmaceutical sectors. This study was carried out using specialized search engines and according to the following inclusion criteria: (i) documents published between 2005 and 2020, (ii) sources of lecithins, (iii) phospholipidic composition of lecithins, and (iv) uses and applications of lecithins. Nevertheless, this work is presented as a narrative review. Results of the review indicated that the most studied source of lecithin is soybean, followed by sunflower and egg yolk. Contrarily, only a few numbers of reports focused on lecithins derived from marine animals despite the relevance of this source in association with an even higher composition of phospholipids than in case of those derived from plant sources. Finally, the main applications of lecithins were found to be related to their nutritional aspects and ability as emulsion stabilizers and lipid component of liposomes.

Stochastic Quasi-Newton Methods

Large-scale data science trains models for data sets containing massive numbers of samples. Training is often formulated as the solution of empirical risk minimization problems that are optimization programs whose complexity scales with the number of elements in the data set. Stochastic optimization methods overcome this challenge, but they come with their own set of limitations. This article discusses recent developments to accelerate the convergence of stochastic optimization through the exploitation of second-order information. This is achieved with stochastic variants of quasi-Newton methods that approximate the curvature of the objective function using stochastic gradient information. The reasons for why this leads to faster convergence are discussed along with the introduction of an incremental method that exploits memory to achieve a superlinear convergence rate. This is the best-known convergence rate for a stochastic optimization method. Stochastic quasi-Newton methods are applied to several problems, including prediction of the click-through rate of an advertisement displayed in response to a specific search engine query by a specific visitor. Experimental evaluations showcase reductions in overall computation time relative to stochastic gradient descent algorithms.

Ontology Based Metasearch Engine i n Electronics Area

Paper The goal of search engines is to return accurate and complete results. Satisfying concrete user information needs becomes more and more difficult because of inability in it complete explicit specification and short comes of keyword-based searching and indexing. General search engines have indexed millions of web resources and often return thousands of results to the user query (most of them often inadequate). To increase result’s precession, users sometimes choose search engines, specialized in searching concrete domain, personalized or semantic search. A grand variety of specialized search engines may be found (and used) in the internet, but no one may guarantee finding of existing in the web and needed for the concrete user resources. In this paper we present our research on building a meta-search engine that uses domain and user profile ontologies, as well as information (or metadata), directly extracted from web sites to improve search result quality. We state main requirements to the search engine for students, PHD students and scientists, propose a conceptual model and discuss approaches of it practical realization. Our prototype metasearch engine first perform interactive semantic query refinement and then, using refined query, it automatically generate several search queries, sends them to different digital libraries and web search engines, augments and ranks returned results, using ontologically represented domain and user metadata. For testing our model, we develop domain ontologies in the electronic domain. We will use ontological terminology representation to propose recommendations for query disambiguation, and to ensure knowledge for reranking the returned results. We also present some partial initial implementations query disambiguation strategies and testing results.

Low-power content addressable memory design using two-layer P-N match-line control and sensing

Content addressable memory (CAM) is a specialized search engine mostly used for speeding memory lookup in network devices. Despite fast searching, activation of all comparison circuits in every clock cycle costs huge power. Power dissipation is more severe in high capacitive NOR match-line (ML) because of higher precharge activity and multiple transitions in ML. This paper proposes a two-layer ML scheme to reduce power due to frequent ML switching between precharge and evaluation phases. The complementary charging property of P and N matching circuits of NOR cells are utilized with the help of a ML precharge and sensing (MLPS) block to charge up only the matched entry while the mismatched entries are held at pre-discharged levels. Also, charging up the first layer due to mismatch limits the discharge levels of the mismatched second layer. These techniques reduce precharge activity besides lessening evaluate-power. Based on a 45-nm CMOS technology, post-layout analysis of the 64 × 32-bit proposed CAM at 1-V supply shows 56% and 24% reductions in precharge-power over a conventional CAM and a gated-power ML sensing CAM, respectively. In addition, the total ML power saving of approximately 2× is achieved when compared to a high-performance master-slave ML and a local-NOR global-NAND ML based CAMs besides decreased macro area. With the help of a charge-hold and charge-up sensing scheme, the proposed design achieves a match function in only 223.52 ps and dissipates 1.42 fJ/bit/search favouring it to be an efficient energy-delay design among the compared designs.

Revisión Sistemática: análisis de la biodiversidad en las economías rurales mediante el modelo de hogares agrícolas y recomendaciones para futuros reportes

The Farm-Household models have been used to analyze ex-ante different policies; however, the state of the art is unknown in relation to the evaluation of biodiversity within these models. For this reason, a systematic review on Farm-Household models that integrate the “biodiversity” variable is required. For this purpose, we consulted a specialized search engine, applying a generic search strategy, which identified 1420 articles, of which only 23 were selected based on specific inclusion criteria. There is a gap in the evaluation of biodiversity within Farm-Household models.

A tétrade de McLuhan na pesquisa em comunicação: revisão sistemática de aplicações no Brasil e em Portugal

O artigo apresenta os resultados de um trabalho exploratório para mapear a aplicação da tétrade de McLuhan em pesquisas da área da comunicação no Brasil e em Portugal. A metodologia usada foi a revisão sistemática da literatura publicada na última década (2009-2019). Para tal mapeamento, trabalhos acadêmicos (teses, dissertações, artigos e capítulos) foram localizados a partir de sistemas de indexação, repositórios públicos e motores de busca especializados. O objetivo foi descobrir como a tétrade vem sendo aplicada e a que objetos. Por fim, são apontadas potencialidades da ferramenta, chamada por McLuhan de “sonda exploratória”

STUDYING 'LIVE' CROSS-PLATFORM CIRCULATION OF IMAGES WITH A COMPUTER VISION API: AN EXPERIMENT BASED ON A SPORTS MEDIA EVENTd'Andréa, Carlos Frederico de Brito (Federal University of Minas Gerais, Brazil) <carlosfbd@gmail.com>

Considering the importance of cross-platform circulation of web contents for digital methods-oriented research, in this study we aim to expand the types of digital objects used as ‘traffic tags’ by focusing on static images as traces of online associations. We pursue this goal through a methodological experiment with Google Cloud Vision API, a computing framework for visual content analysis. Its Web Detection module pairs typical computer vision operations with Google’s search mechanism, partly performing as a more specialized batch reverse image search engine. This feature thus allows to potentially retrieve images’ spread across the web. We discuss the implications of this non-verbal methodological approach by tracking the 'live' cross-platform circulation of images shared on Twitter in the context of 2018 FIFA World Cup Final Draw ceremony, held on December 2017. Following a novel methodological protocol, we ran several iterations of Vision API processing, thus generating a time series of URLs pointing to pages in which images matching the ones being processed were found. The study analyses in depth the circulation of four popular images about the broadcasted media event, observing their ‘live’ spreading dynamics as well as the computer vision API performance. Among the findings, we point out the adoption of images as 'traffic tags' for cross-platform analysis as a promising approach to study web circulation beyond language barriers and mainstream platforms. Also, we find relevant data to discuss the specificities of the API’s algorithms and its opacity as inherent issues of the digital methods approach.

Latent semantic analysis and cosine similarity for hadith search engine

Search engine technology was used to find information as needed easily, quickly and efficiently, including in searching the information about the hadith which was a second guideline of life for muslim besides the Holy Qur'an. This study was aim to build a specialized search engine to find information about a complete and eleven hadith in Indonesian language. In this research, search engines worked by using latent semantic analysis (LSA) and cosine similarity based on the keywords entered. The LSA and cosine similarity methods were used in forming structured representations of text data as well as calculating the similarity of the keyword text entered with hadith text data, so the hadith information was issued in accordance with what was searched. Based on the results of the test conducted 50 times, it indicated that the LSA and cosine similarity had a success rate in finding high hadith information with an average recall value was 87.83%, although from all information obtained level of precision hadith was found semantically not many, it was indicated by the average precision value was 36.25%.

Acupuncture Methods and Challenges in Improving Sleep Quality and Insomnia

The role of acupuncture in insomnia has been well established and it has been proven to be one of the most popular insomnia therapies, however the analysis of the efficacy of acupuncture on insomnia and its difficulties is not well known. Within this sense, the research analyzed the processes, procedures and difficulties of acupuncture within managing insomnia and measured the effectiveness of each procedure. To order to do that, we analyzed the literature using specific search engines including Scopus, PubMed, Google Scholar, Science Online and MEDLINE. The role of acupuncture in sleep efficiency and depression has been thoroughly explored, but acupuncture's effect on sleep initiation is not precisely established. Acupuncture has proven effective in minimizing short-term distress and depressive effects, such as cognitive behavioural treatment (CBT-I). This approach should be used in conjunction with other strategies and approaches to reduce the activation period in order to increase the consistency of the night.

University students’ intention to use search engines for research purposes: A structural equation modeling approach

Teaching empirical educational research in higher education involves implementing a very useful web tool for bibliography/scientific literature research, a search engine specifically employed for scientific papers, such as “Google Scholar”. The aim of this study is to examine undergraduate students’ acceptance of technology, through their intention to adopt and use a specific search engine for research purposes. To accomplish this goal, a questionnaire was administered to 225 students from two Universities in Greece. The study was based on TAM (Technology Acceptance Model), reinforced by four external determinants (perceived self-efficacy, subjective norms, facilitating conditions and technological complexity), that contributed to the indirect prediction of the behavioral intention to use the particular search engine. The results of the survey confirm that the main factors of TAM, perceived ease of use and perceived usefulness are significant determinants of students’ behavioral intention to use Google Scholar. Moreover, perceived self-efficacy, subjective norms, facilitating conditions and technological complexity have an indirect significant effect on behavioral intention. All these factors explain almost 60% of students’ behavioral intention to use this search engine. The results of this survey could be beneficial to the enrichment of good educational practices for the additional training of teachers, as well as to the improvement of the students’ skills in the implementation of this specific research tool. Besides, more stakeholders, such as librarians, or even human resources of big companies that construct and support similar systems, such as search engines, could also benefit from the present research.

Exploratory Search for Scientific Articles

It is intuitively clear that search for scientific publications often has many characteristics of exploratory search. The purpose of this paper is to formalize this intuitive understanding, explore which scientific search tasks can be classified as research search ones, what general approaches to the research search problem exist, and how they are implemented in specialized search engines for scientists. We overview the existing works that address the information-seeking behavior of scientists and a special variant of search called exploratory search. There are several types of search behavior typical for scientists; we show that most of them are exploratory ones. Exploratory search differs from information retrieval and requires special support from the search systems. We analyze seventeen search systems for academicians (from Google Scholar, Scopus, and Web of Science to ResearchGate) from the perspective of exploratory search support. We find that most of them do not go far beyond simple information retrieval, and there is room for further improvements, especially in collaborative search support.