Hasil untuk "Bibliography. Library science. Information resources"

Sinomar Soares de Carvalho Silva, Francisco Gilson Rebouças Pôrto Júnior

RESUMO O objetivo deste artigo é discutir a adesão ao acesso aberto nas Ciências da Comunicação tendo como recorte os artigos de periódicos publicados (n=990) entre os anos de 2013 e 2023 pelos docentes (n=59) dos dois programas de doutoramento com maior nota (7) na última avaliação da Capes, programas de referência no Brasil. Baseou-se em uma pesquisa de abordagem quali-quantitativa e objetivos bibliométrico exploratórios. Os resultados apontaram que há forte tendência de publicação em acesso aberto em todas as categorias analisadas, como publicações por gênero, tempo de trabalho na instituição, por bolsistas em produtividade e o percentual publicado (n=65,96%) em periódicos de acesso aberto em relação ao total de publicações no período analisado. Conclui-se que, como apontaram outras pesquisas, nas áreas de Ciências Humanas e Sociais Aplicadas há uma maior aderência ao acesso aberto, mas não apenas por meio de artigos de periódicos, sua face mais visível.

Elham Ahmadnezhad, M. Kheirandish, Ali Akbari-Sari et al.

Background: This study aims to review tools that have been developed for the transferability of health technology assessment (HTA) information to different countries. HTA is increasingly being used as a tool in health policy decision-making, but its complexity and lack of local expertise have limited its usage in many countries. The World Health Organization (WHO) has taken measures to encourage countries to conduct and use HTA, including through resolutions from the Eastern Mediterranean (EM) Regional Committee in 2019. However, due to limitations in national technical capacities, there is a need to adapt HTA information from other settings to fit the specific context of each country. Therefore, this study aims to systematically review the tools that have been developed for HTA transferability and assess their strengths and limitations. Methods: The systematic review included studies that introduced tools, methods, and frameworks for transferability of HTA information across jurisdictions. Databases such as MEDLINE, EMBASE, Cochrane Library, Epistemonikos, Web of Science, health economic database, Scopus, and Google Scholar were searched, along with relevant bibliographies. The data was extracted and synthesized using both tabulation and narrative approaches. The evaluation of the tools involved assessing various criteria, such as user-friendliness, efficiency in screening, and considerations regarding transferability factors. Results: A total of 10 375 documents were evaluated, resulting in 17 studies that met the inclusion criteria. These 17 studies consisted of 13 newly developed tools/methods that were appraised. The majority of the models were checklists, with only a few deemed suitable for full HTA. Three models have been validated through published studies, but there is no evidence of utilization in the countries of the EM region. Conclusion: While the existing tools provide valuable resources for evaluating transferability, there remains a need for a more comprehensive tool to support decision-makers in low-resource settings considering country context and capacity.

Daniella Bar-Lev, Tuvi Etzion, Eitan Yaakobi et al.

Enzymatic DNA labeling is a powerful tool with applications in biochemistry, molecular biology, biotechnology, medical science, and genomic research. This paper contributes to the evolving field of DNA-based data storage by presenting a formal framework for modeling DNA labeling in strings, specifically tailored for data storage purposes. Our approach involves a known DNA molecule as a template for labeling, employing patterns induced by a set of designed labels to represent information. One hypothetical implementation can use CRISPR-Cas9 and gRNA reagents for labeling. Various aspects of the general labeling channel, including fixed-length labels, are explored, and upper bounds on the maximal size of the corresponding codes are given. The study includes the development of an efficient encoder-decoder pair that is proven optimal in terms of maximum code size under specific conditions.

Sarah A. Obead, Hsuan-Yin Lin, Eirik Rosnes

We study the problem of pliable private information retrieval with side information (PPIR-SI) for the single server case. In PPIR, the messages are partitioned into nonoverlapping classes and stored in a number of noncolluding databases. The user wishes to retrieve any one message from a desired class while revealing no information about the desired class identity to the databases. In PPIR-SI, the user has prior access to some side information in the form of messages from different classes and wishes to retrieve any one new message from a desired class, i.e., the message is not included in the side information set, while revealing no information about the desired class to the databases. We characterize the capacity of (linear) single-server PPIR-SI for the case where the user's side information is unidentified, i.e., the user is oblivious of the identities of its side information messages and the database structure. We term this case PPIR-USI. Surprisingly, we show that having side information, in PPIR-USI, is disadvantageous, in terms of the download rate, compared to PPIR.

Jingrui Hou, Georgina Cosma, Axel Finke

Continual learning refers to the capability of a machine learning model to learn and adapt to new information, without compromising its performance on previously learned tasks. Although several studies have investigated continual learning methods for information retrieval tasks, a well-defined task formulation is still lacking, and it is unclear how typical learning strategies perform in this context. To address this challenge, a systematic task formulation of continual neural information retrieval is presented, along with a multiple-topic dataset that simulates continuous information retrieval. A comprehensive continual neural information retrieval framework consisting of typical retrieval models and continual learning strategies is then proposed. Empirical evaluations illustrate that the proposed framework can successfully prevent catastrophic forgetting in neural information retrieval and enhance performance on previously learned tasks. The results indicate that embedding-based retrieval models experience a decline in their continual learning performance as the topic shift distance and dataset volume of new tasks increase. In contrast, pretraining-based models do not show any such correlation. Adopting suitable learning strategies can mitigate the effects of topic shift and data augmentation.

Israel Martinez-Castellanos, Savitri Gallego, Chien-You Huang et al.

The Compton Spectrometer and Imager (COSI) is a selected Small Explorer (SMEX) mission launching in 2027. It consists of a large field-of-view Compton telescope that will probe with increased sensitivity the under-explored MeV gamma-ray sky (0.2-5 MeV). We will present the current status of cosipy, a Python library that will perform spectral and polarization fits, image deconvolution, and all high-level analysis tasks required by COSI's broad science goals: uncovering the origin of the Galactic positrons, mapping the sites of Galactic nucleosynthesis, improving our models of the jet and emission mechanism of gamma-ray bursts (GRBs) and active galactic nuclei (AGNs), and detecting and localizing gravitational wave and neutrino sources. The cosipy library builds on the experience gained during the COSI balloon campaigns and will bring the analysis of data in the Compton regime to a modern open-source likelihood-based code, capable of performing coherent joint fits with other instruments using the Multi-Mission Maximum Likelihood framework (3ML). In this contribution, we will also discuss our plans to receive feedback from the community by having yearly software releases accompanied by publicly-available data challenges.

Sajjad Valipour Damiyeh, Mehrdad Hamrahi, Ali Pirzad

Purpose:The main purpose of this research was the pathology of strategic human resource management system based on digital transformation governance. The analysis has been done in Gachsaran Oil and Gas Exploitation Company with the grounded theory approach.Method: This research is a heuristic combination of consecutive type and model tooling, model design and compilation based on the criteria designed by the model. Library method and documentary studies were used to collect theoretical foundations. In the qualitative section, using the research method of case study and semi-structured interviews with experts and professors, the criteria of the research model were developed. In order to select a suitable sample from the community of experts and university professors, non-random sampling method, selective purposeful sampling method (snowball) and theoretical saturation criterion were used and from the sample technique of key individuals (experts) 15 people were selected.Findings: Findings show that in the digital transformation path, factors such as employment system balance, equitable distribution of responsibilities, career path management, functional stability, manpower capability, fitness and work environment, individual creativity, political and legal factors, cultural conflict, environmental developments, specific individual and organizational components, and financing influence the strategic human resource management system. Conclusion: In the path of digital transformation in the organization, in order to eradicate organizational harms and improve the productivity of the organization and the workforce, the factors found in this research should be considered and examined so that the organization can progress.

Maria Esteva, Weijia Xu, Nevan Simone et al.

Data driven applications often require using data integrated from different, large, and continuously updated collections. Each of these collections may present gaps, overlapping data, have conflicting information, or complement each other. Thus, a curation need is to continuously assess if data from multiple collections are fit for integration and reuse. To assess different large data collections at the same time, we present the Synchronic Curation (SC) framework. SC involves processing steps to map the different collections to a unifying data model that represents research problems in a scientific area. The data model, which includes the collections' provenance and a data dictionary, is implemented in a graph database where collections are continuously ingested and can be queried. SC has a collection analysis and comparison module to track updates, and to identify gaps, changes, and irregularities within and across collections. Assessment results can be accessed interactively through a web-based interactive graph. In this paper we introduce SC as an interdisciplinary enterprise, and illustrate its capabilities through its implementation in ASTRIAGraph, a space sustainability knowledge system.

Mila Malekolkalami, Atefeh Sharif

<p class="Subjectcodes">Considering the essential role of knowledge management in organizations and the importance of knowledge auditing as one of its most vital processes, the purpose of this paper is to reveal the insights and thoughts of authors about knowledge auditing in the articles during 2016-2020 by using the systematic review method. In these articles, the progress and differences in the proposed models and frameworks of knowledge auditing are also examined. In this review, 20 articles out of 50 retrieved articles related to knowledge auditing were reviewed and analysed. The study of the obtained results shows the progress and changes of authors 'attitudes toward knowledge auditing and their attention and focus on the knowledge management process, making suggestions, and continues re-auditing in organizations.</p><p class="Subjectcodes"><a href="https://dorl.net/dor/20.1001.1.20088302.2022.20.3.13.0">https://dorl.net/dor/20.1001.1.20088302.2022.20.3.13.0</a>   </p>

Ahmad Shabani, Hmid Pirayesh, Saeed Rajaeepour et al.

Purpose: The purpose of this study is to investigate the relationship between knowledge management and organizational learning among public librarians in Fars province. Method: This study is an applied study which was conducted using the descriptive-correlational method. The statistical population included all librarians of public libraries in Fars province in 1400 (322 people), from whom 175 librarians were selected as the research sample using simple random sampling. In order to collect people's opinions, Bukowitz and Williams (1999) standard knowledge management questionnaire and organizational learning questionnaire based on Neefe theory (2001) were used. In order to analyze the data, SPSS software version 22. and descriptive statistical methods such as frequency, percentage, mean, standard deviation, and in inferential statistics, Pearson correlation test and multiple linear regression were used. Findings: The results of correlation coefficient showed that there was a significant relationship between knowledge management (KM) and organizational learning (OL) among the librarians of public libraries in Fars province. Furthermore, among KM’s components, knowledge production and consolidation and sharing had the most correlation with OL (respectively 0.900 and 0/898 correlation coefficients). Moreover, the result of multiple linear regression showed that there is a 100-percent common variance between KM and OL. The production and consolidation component is the strongest predictor for OL (Beta=0.197). This research showed that knowledge production and consolidation component (acquisition of required skills in accordance with organizational goals) and knowledge sharing (transfer and sharing of effective individual and organizational experiences) have the greatest relationship and impact on the promotion and improvement of OL. Originality/value: The issue of knowledge management has been an issue of concern in public library literature in recent years. However, the relationship between knowledge management and organizational learning has not been studied much; In addition, examining this issue among the community of public library librarians of Fars province has been the focus of attention in the present study. The results of this research can pave the way for library managers to try to improve knowledge and knowledge management that has led to organizational learning by planning, appropriate policies, and providing standards.

Mahyuddin K. M. Nasution

Social Network Mining (SNM) has become one of the main themes in big data agenda. As a resultant network, we can extract social network from different sources of information, but the information sources were growing dynamically require a flexible approach. To determine the appropriate approach needs the data engineering in order to get the behavior associated with the data. Each social network has the resources and the information source, but the relationship between resources and information sources requires explanation. This paper aimed to address the behavior of the resource as a part of social network analysis (SNA) in the growth of social networks by using the statistical calculations to explain the evolutionary mechanisms. To represent the analysis unit of the SNA, this paper only considers the degree of a vertex, where it is the core of all the analysis in the SNA and it is basic for defining the relation between resources and SNA in SNM. There is a strong effect on the growth of the resources of social networks. In total, the behavior of resources has positive effects. Thus, different information sources behave similarly and have relations with SNA.

Luisa Bonolis

The 100th anniversary of Bruno Touschek's birth also marks 60 years since the first beams of electrons and positrons circulated in AdA, the first ever matter-antimatter collider built in Frascati National Laboratories following Touschek's visionary proposal of February 1960. A brief biography, an extensive bibliography, and a description of archives containing documents related to the life and science of the father of electron-positron physics are presented.

Emily Kingsland

Abstract Objective – Feminist pedagogy in library instruction presents a new approach to actively engaging students in the research process. While feminist pedagogy in universities found early adoption in the 1970s, it is a newer phenomenon in library instruction, finding its early roots in works by Ladenson (2010), Accardi (2010), and Accardi and Vukovic (2013). By fostering active engagement and critical thinking skills, feminist library instruction sessions encourage students to question authority, actively participate in the knowledge production process, and become aware of their power and information privilege as they navigate increasingly complex information environments. At its core, this specific pedagogical approach subverts traditional classroom dynamics by focusing on diversity and inclusion. This literature review demonstrates how feminist pedagogy is currently being practiced in academic library information literacy sessions and how students can be assessed in a feminist manner. Methods – Practitioners of feminist pedagogy draw on techniques and methodologies designed to emphasize and value different experiences, such as cooperative learning, collaborative learning, inquiry-based learning, and inquiry-guided learning. These techniques and methodologies are used to develop students’ information literacy skills, to take ownership of the research process, and to stimulate critical inquiry. For the literature review, the following databases were searched: Education Resources Information Center (ERIC) on the ProQuest platform; Library & Information Science Abstracts (LISA); Library, Information Science & Technology Abstracts (LISTA); Scopus; and Web of Science Core Collection. Hand searching in WorldCat, as well as cited reference searching and bibliography mining, were also conducted. The searches were run between November 2018 and April 2019, followed by a second round in July 2019 based on participant feedback from the 2019 EBLIP10 conference. Case studies, books, book chapters, literature reviews, research papers, interviews, surveys, and papers based on statistical and qualitative analysis were consulted. Results – While some librarians may lack familiarity with feminist theory, feminism writ large influences academic librarians’ professional practice (Schroeder & Hollister, 2014). Librarians can incorporate feminist pedagogy into their practice and assessment in many concrete ways. However, librarians who focus on feminist pedagogy may face obstacles in their teaching, which may explain why publications on feminist pedagogical discourse within library and information studies have emerged only within the last decade (Fritch, 2018; Hackney et al., 2018). The most common challenge feminist librarians face is the restrictive nature of the standalone, one-shot information literacy session. Moreover, there is much room for improvement in library and information studies programs to introduce students to the theory and practice of feminist pedagogy. Conclusion – This paper highlights examples of feminist methods librarians can put into practice in their information literacy sessions and ways in which students can be assessed in a feminist manner. The literature demonstrates that feminist pedagogy has been successfully implemented for decades in universities. By comparison, practicing feminist pedagogy at the library instruction level is a relatively new area of focus within the profession. Hopefully, this growing trend will lead to more evidence based literature in the near future.

Teodoro Luque-Martínez, Nina Faraoni, Luis Doña-Toledo

Este trabajo examina la distribución por género de las universidades, a través de un porcentaje de mujeres dentro del alumnado, y comprueba si tal distribución tiene alguna relación con la posición de las universidades en los rankings universitarios. Se han seleccionado siete rankings, globales y sintéticos, disponiendo de datos de la distribución por género del alumnado para 924 universidades. Los resultados confirman que las universidades con una equilibrada distribución entre hombres y mujeres presentan mayores puntuaciones, por tanto, mejores posiciones en los rankings. Las universidades con mayor presencia femenina en el alumnado son las de ratio más alto de estudiantes por profesor y las que alcanzan mayores valoraciones medias en los indicadores de internacionalización. En los indicadores de premios Nobel y medallas Fields, e ingresos procedentes de la industria, las universidades con mayor presencia masculina tienen mayores puntuaciones medias. Los resultados pueden contribuir a la mejora de las políticas de igualdad en las universidades, así como a orientar las decisiones estratégicas y de gestión de las mismas.

Mohammed Maree, Israa Noor, Khaled Rabayah et al.

Semantic concepts and relations encoded in domain-specific ontologies and other medical semantic resources play a crucial role in deciphering terms in medical queries and documents. The exploitation of these resources for tackling the semantic gap issue has been widely studied in the literature. However, there are challenges that hinder their widespread use in real-world applications. Among these challenges is the insufficient knowledge individually encoded in existing medical ontologies, which is magnified when users express their information needs using long-winded natural language queries. In this context, many of the users query terms are either unrecognized by the used ontologies, or cause retrieving false positives that degrade the quality of current medical information search approaches. In this article, we explore the combination of multiple extrinsic semantic resources in the development of a full-fledged medical information search framework to: i) highlight and expand head medical concepts in verbose medical queries (i.e. concepts among query terms that significantly contribute to the informativeness and intent of a given query), ii) build semantically enhanced inverted index documents, iii) contribute to a heuristical weighting technique in the query document matching process. To demonstrate the effectiveness of the proposed approach, we conducted several experiments over the CLEF eHealth 2014 dataset. Findings indicate that the proposed method combining several extrinsic semantic resources proved to be more effective than related approaches in terms of precision measure.

George Heald, Sui Ann Mao, Valentina Vacca et al.

The Square Kilometre Array (SKA) will answer fundamental questions about the origin, evolution, properties, and influence of magnetic fields throughout the Universe. Magnetic fields can illuminate and influence phenomena as diverse as star formation, galactic dynamics, fast radio bursts, active galactic nuclei, large-scale structure, and Dark Matter annihilation. Preparations for the SKA are swiftly continuing worldwide, and the community is making tremendous observational progress in the field of cosmic magnetism using data from a powerful international suite of SKA pathfinder and precursor telescopes. In this contribution, we revisit community plans for magnetism research using the SKA, in the light of these recent rapid developments. We focus in particular on the impact that new radio telescope instrumentation is generating, thus advancing our understanding of key SKA magnetism science areas, as well as the new techniques that are required for processing and interpreting the data. We discuss these recent developments in the context of the ultimate scientific goals for the SKA era.

Hsuan-Yin Lin, Siddhartha Kumar, Eirik Rosnes et al.

A private information retrieval (PIR) protocol guarantees that a user can privately retrieve files stored in a database without revealing any information about the identity of the requested file. Existing information-theoretic PIR protocols ensure perfect privacy, i.e., zero information leakage to the servers storing the database, but at the cost of high download. In this work, we present weakly-private information retrieval (WPIR) schemes that trade off perfect privacy to improve the download cost when the database is stored on a single server. We study the tradeoff between the download cost and information leakage in terms of mutual information (MI) and maximal leakage (MaxL) privacy metrics. By relating the WPIR problem to rate-distortion theory, the download-leakage function, which is defined as the minimum required download cost of all single-server WPIR schemes for a given level of information leakage and a fixed file size, is introduced. By characterizing the download-leakage function for the MI and MaxL metrics, the capacity of single-server WPIR is fully described.

Eric P. Hanson, Vishal Katariya, Nilanjana Datta et al.

What is the minimum number of guesses needed on average to correctly guess a realization of a random variable? The answer to this question led to the introduction of the notion of a quantity called guesswork by Massey in 1994, which can be viewed as an alternate security criterion to entropy. In this paper, we consider the guesswork in the presence of quantum side information, and show that a general sequential guessing strategy is equivalent to performing a single measurement and choosing a guessing strategy from the outcome. We use this result to deduce entropic one-shot and asymptotic bounds on the guesswork in the presence of quantum side information, and to formulate a semi-definite program (SDP) to calculate the quantity. We evaluate the guesswork for a simple example involving the BB84 states, both numerically and analytically, and prove a continuity result that certifies the security of slightly imperfect key states when the guesswork is used as the security criterion.