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The article presents information on the paper titled "Business School Libraries-Determining New Services," presented by Jan Wallace at the Academic Business Library Directors/European Business School Librarians' Group 2004 conference. A study of researcher Michael Porter's work on the theory of the value chain was carried out to determine if some of that theory could be applied to business library services. It is reported that selecting and positioning services is of crucial importance to the relevance, cost-effectiveness, and value to parent organizations of libraries. When libraries are not involved in the early stages of curriculum planning, they are less able to insert a library research component into course content. Similarly libraries that do not actively promote in-class teaching, especially when library resources are tied to a particular assignment, are less able to ensure their resources are well-used. Instead of putting libraries out of business, the World Wide Web turned out to provide a new body of knowledge for business librarians to codify, access, and contribute to on behalf of their users.

Since the introduction of the concept of entrepreneurial university in 1980s, the number of studies has dramatically increased, in particular since 2015. This had made the literature on the entrepreneurial university complex, fragmented and difficult to navigate. This paper provides a comprehensive review of all topics covered in the body of literature on the entrepreneurial university and identifies the most salient topics and papers within this literature, making use of text-mining techniques. Our paper employs topic modelling that reveals the underlying semantic structure of texts to identify the different underlying. Our study systematically analyses 1,110 papers over the period 1983–2020 using the Latent Dirichlet Allocation algorithm. Our analysis shows that the entrepreneurial university is fragmented around different topics that are very diverse. We find a total of 20 differentiated topics. Our study suggests that topics related to the overarching theme of academic entrepreneurship, in particular to commercialisation of research and the triple helix model are very popular within the entrepreneurial university literature. Finally, our analysis reveals that case-study type of research is losing momentum, giving path to nascent topics of research in the areas of entrepreneurial capability and university-industry alliances, which are becoming very popular within the entrepreneurial university literature. [ABSTRACT FROM AUTHOR]

Information retrieval/memory recall by patients/carers within the medical appointment is reported to be of paramount importance to the diagnostic/decision-making process within the medical appointment and hence to the outcome of the medical encounter itself. The rationale behind this paper (second in a series of papers) is to delve into the current literature to ascertain the pervasiveness of long-term information retrieval/memory recall concepts within this intricate environment, including the disease states in which patient information retrieval/memory recall research has been conducted, affording an analysis of research activities in order to identify the gaps in knowledge that currently exist. A rigorous systematic process detected 49 papers that clearly consider information retrieval/memory recall events within the medical appointment. Content analysis was conducted using a Concept-Centric Matrix in conjunction with open-coding techniques, giving rise to the detection of 227 concepts, which were subsequently assembled into 63 categories. Our analysis reveals the prevalence of long-term information retrieval/memory recall concepts, and the disease states that have conducted patient information retrieval/memory recall research (within the medical appointment) reported in writings over the past 43 years. Additionally, we have advanced our conceptual model of memory recall/information retrieval within the elicitation phase of the medical appointment, which we first presented in an earlier paper. The current paper is of significance as it facilitates an augmented understanding of information retrieval/memory recall (and the importance of same to the diagnostic/decision-making process and to patient outcomes, within the medical appointment. Furthermore, the exploration serves to highlight a number of IS research opportunities. [ABSTRACT FROM AUTHOR]

The article presents a list of major accessions to repositories in 2004. The topics in the accessions are related to the history of women. The National Archives of Great Britain is the one who collects information from record repositories. Information about the manuscript accessions and the repositories which received the accessions are provided in the article. Included in the list are Barnsley Business and Professional Women's Club: additional records 1990-1999, Huntingdon and Peterborough Federation of Women's Institutes: records of constituent institutes 1919-2003, and Foxfield Women's Institute: minute and record books 1972-2001.

This paper analyses the nexus between record-keeping and political advocacy in the late colonial Busoga which formed one of eastern ethno-geographical regions of the Uganda Protectorate. It illustrates the vexed position of the Abataka Abasoga attempting to build and use archival knowledge while the colonial government moved against the indigenous use of archival records as a tool of anti-colonial defiance. By weaving together archival materials with secondary sources, the paper reveals the precarious position of Ugandan archival records as denoted by the subsequent regimes' involvement in the management of documentary materials. Ultimately, the example shows how the ruling regimes' interests have been central in determining the nature of information made available for future preservation and its accessibility for use by both the political elite and reading publics. [ABSTRACT FROM AUTHOR]

Remote sensing data acquisition is one of the most essential processes in the field of Earth observation. However, traditional methods to acquire data do not satisfy the requirements of current applications because large-scale data processing is required. To address this issue, this paper proposes a data acquisition framework that carries out remote sensing metadata planning and then realizes the online acquisition of large amounts of data. Firstly, this paper establishes a unified metadata cataloging model and realizes the catalog of metadata in a local database. Secondly, a coverage calculation model is presented, which can show users the data coverage information in a selected geographical region under the data requirements of a specific application. Finally, according to the data retrieval results and the coverage calculation, a machine-to-machine interface is provided to acquire target remote sensing data. Experiments were conducted to verify the availability and practicality of the proposed framework, and the results show the strengths and powerful capabilities of our framework by overcoming deficiencies in traditional methods. It also achieved the online automatic acquisition of large-scale heterogeneous remote sensing data, which can provide guidance for remote sensing data acquisition strategies. [ABSTRACT FROM AUTHOR]

This paper focuses on finding the criteria adopted by users to select free information retrieved from the Web for academic use. A close-ended questionnaire was formulated to record the opinions of the respondents. A survey for various categories of users such as post graduate students, research scholars and faculty members from five universities of Chandigarh, Haryana, and Punjab was administered. The category-wise and discipline-wise analysis depicted that quite a good number of respondents applied various parameters while referring to Web resources, but a reasonable number of users did not apply certain parameters to verify the nature of free information being used for educational purposes. The convenience factor leads them to depend on free Web resources which can be accessed anywhere and saves time. The findings of the study suggest that user education programs should be conducted to create awareness regarding the credibility of the subscribed library resources and their effectiveness in enhancing the quality of teaching, learning, and research. [ABSTRACT FROM AUTHOR]

This paper brings light to the existing practice of cataloging in the college libraries of Assam in terms of utilizing the MARC 21 standard and its structure, i.e., the tags, subfield codes, and indicators. Catalog records from six college libraries are collected and a survey is conducted to understand the local users' information requirements for the catalog. Places, where libraries have scope to improve and which divisions of tags could be more helpful for them in information retrieval, are identified and suggested. This study fulfilled the need for local-level assessment of the catalogs. [ABSTRACT FROM AUTHOR]

QR codes provide potential opportunities to improve interaction in different areas of application. Even so, this technology has been utilised in punctual and specific standalone applications, being barely applied to broader contexts, such as the educational one, where different scenarios can be considered to take advantage of the same QR-code approach. In this paper, key issues for the development of applications that utilise QR codes to improve sharing and availability of resources are presented, specifically focusing on improving interaction and acceptance. In this way, a holistic approach has been developed where the system is aimed at improving the interaction between educators and students. On the one hand, educators use a web interface to manage educational resources and announcements and automatically generate QR codes. On the other hand, students scan those QR codes using a mobile device, obtaining updated information related to their lectures. This scenario has been evaluated by educators and students, obtaining good results in terms of acceptance, cognitive burden, and overall usability. The approach provides development clues and the evaluation method that can be applied to different contexts, thus representing a generalisable solution. [ABSTRACT FROM AUTHOR]

This paper presents a geometric approach to pitch estimation (PE) – an important problem in music information retrieval (MIR), and a precursor to a variety of other problems in the field. Though there exist a number of highly accurate methods, both mono-pitch estimation and multi-pitch estimation (particularly with unspecified polyphonic timbre) prove computationally and conceptually challenging. A number of current techniques, while incredibly effective, are not targeted towards eliciting the underlying mathematical structures that underpin the complex musical patterns exhibited by acoustic musical signals. Tackling the approach from both theoretical and experimental perspectives, we present a novel framework, a basis for further work in the area, and results that (while not state of the art) demonstrate relative efficacy. The framework presented in this paper opens up a completely new way to tackle PE problems and may have uses both in traditional analytical approaches as well as in the emerging machine learning (ML) methods that currently dominate the literature. [ABSTRACT FROM AUTHOR]

Typically, the amount of health data increases by their size, computational complexity, and speed. A traditional healthcare system often requires the delivery of medical data to the large storage system, which is comprised of patient's sensitive information and causes communication overhead. Basically, medical sharing is a serious threat and also a challenging issue. For these reasons, a range of big data analytical approaches such as Machine Learning and Text Mining are often required for organizing huge amounts of data. In this paper, we focus on two big data analytics strategies: Data Retrieval and Data Management over Hadoop Distributed File System (HDFS). The functions of this paper include Privacy Protection, Data Sharing, and Management. In both stages of data retrieval and management, we first authenticate data requestors and data owners who want to store data and share the stored data in the HDFS. Secondly, we present a new model to help the requestor to select trustable and similar partners who want to access the health data stored in the HDFS clusters and give them a proper and accurate set of partners. Thirdly, we cluster patients' medical data stored in the HDFS and find out their health status (diseases or any serious threats) using a Deep learning algorithm over Spark environment. Finally, in order to prevent the patients from serious diseases, a report is generated and forwarded to stakeholders. Our experiments illustrate the effectiveness of the proposed scheme in terms of accuracy, precision, recall, and f-measure. [ABSTRACT FROM AUTHOR]

The article discusses various reports published within the issue including one about the applications of concept lattices and another one about the use of concept lattices in various field of expertise, like knowledge acquisition, information visualization and information browsing and retrieval.

Understanding the search behaviour of online users is among the long-tail practices of Interactive Information Retrieval that helps identify the user information needs. The Interactive Social Book Search (SBS), under the umbrella of Interactive Information Retrieval (IIR), aims to understand the user interactions with book collections and the associated professionally-curated and socially-constructed metadata on the baseline and multistage user interfaces (UIs). This paper reports on the book search behaviour of users by reviewing research publications related to the Interactive SBS published during the last two decades. It presents a holistic view of the overall progress of Interactive SBS by summarising and visualising the experimental structure, search systems, datasets, demographics of participants, and findings to identify the research trends and possible future directions. Based on the collected evidence, it attempts to answer how the search system, user interface (UI), and the nature of tasks affect the book search behaviour of users. The article is the first of its kind that attempts to understand the book search behaviour of users in the context of Social Book Search with implications for usability experts and others working in UI design, web search engines, book search engines, digital libraries, collaborative social cataloguing websites, and e-Commerce applications. [ABSTRACT FROM AUTHOR]

This paper presents an analytical review of the existing literature about Human Information Behaviour (HIB) in the context of Serious Leisure (SL). Various forms of information activities in this context have been identified and categorised to depict common patterns in information seeking and sharing. The findings show the informational aspect of SL is a rich and productive topic in HIB because it entails the continuous pursuit and recreation of knowledge and often involves several types of information-related actions including information seeking, searching, browsing, retrieving, gathering, saving, organising, sharing, evaluating, measuring, analysing, producing and disseminating. The paper also presents a tentative model of predominant information sources in SL based on the analytical literature review and theoretical speculation. This preliminary model categorises SL activities into three main groups including (1) intellectual pursuits, (2) creating or collecting physical objects/materials/products and (3) experiential activities. Similarly, the paper categorises SL participants into three major groups of appreciators, producers/collectors and performers. Each category has its own priorities, source preferences and information behaviour. The findings also indicate that exploring various aspects of HIB in the SL domain is still an emerging ground and that the majority of studies have been thus far been qualitative. As a result, further research needs to be done to gain a more comprehensive picture of this area and to validate the growing knowledge base with larger samples and further settings. [ABSTRACT FROM AUTHOR]

Facets are widely encountered in information and knowledge organization, but there is much disparity in the use and understanding of concepts such as "facet," "facet analysis," and "faceted classification." The paper traces the history of these ideas and how they have been employed in different contexts. What may be termed the classical school of faceted classification is given some prominence, through the ideas of Ranganathan and the Classification Research Group, but other interpretations are also explored. Attention is paid not only to the idea of what facet analysis is, and what purpose it serves, but also the language utilized to describe and explain it. [ABSTRACT FROM AUTHOR]

This study aimed to explore the evolution tracks of occupational low back pain (OLBP) studies during 2000 ∼ 2020 through strict and systematic bibliometric analysis. The analysis began with data retrieval in Web of Science using defined search terms associated with OLBP. Bibliometric tools, including BibExcel and CiteSpace, were employed to conduct performance analysis and co-citation network analysis. Totally, 4,127 documents were identified from 2000 to 2020. The United States contributed the most publications. The leading journals mainly focused on medicine and ergonomics. The co-citation analysis illuminated the development of OLBP studies and the top three published keywords were musculoskeletal disorder, risk factors, and fear avoidance. This paper can help researchers have a broader and deeper understanding of OLBP studies, provide a general insight into aggregate performance in the OLBP field, and find further research directions. [ABSTRACT FROM AUTHOR]

Similarity of point patterns is critical to geographic information retrieval. Many methods depend on measuring the similarity between point patterns within the spatial database. However, previous researches mainly focus on point density which is only one aspect of point patterns. A point distribution can be complex by its numerous alignments of point groups, which usually imply different geographical meanings in reality. In this paper, we propose a new method that uses image analysis techniques to comprehensively consider the characteristics of a point pattern. Specifically, given a set of point datasets falling in the same region, our method first generates the point intensity surfaces to transform the original vector space to raster space; then, the method constructs a matrix to describe all the pattern-related information. Finally, the point pattern similarity is calculated by decomposing this matrix into the lower-order representation and the factorized basis features. Due to the use of matrix decomposition, the proposed method has the merits that it can eliminate noises from the original data and assess the similarity of two patterns with emphasis on their major features. As a case study, our method is effective in discovering regularity from the taxi pick-up/drop-off point datasets. [ABSTRACT FROM AUTHOR]

Feedback can be powerful, but its effects are dependent on what students do. There has been intensive research in recent years under the banner of 'feedback literacy' to understand how to help students make the most of feedback. Although there are instruments to measure feedback literacy, they largely measure perceptions and orientations rather than what learners actually do. This paper documents the development and validation of the Feedback Literacy Behaviour Scale (FLBS), which is a self-report instrument intended to measure students' feedback behaviours. A framework for feedback literacy was constructed with five factors: Seek Feedback information (SF), Make Sense of information (MS), Use Feedback information (UF), Provide Feedback information (PF), and Manage Affect (MA). An initial set of 45 questions were reviewed in an iterative process by feedback experts, resulting in 39 questions that were trialled with 350 student participants from four countries. Our final survey of 24 questions was generally supported by confirmatory factor and Rasch analyses, and has acceptable test-retest reliability. The FLBS provides a more robust way for educators and researchers to capture behavioural indicators of feedback literacy and the impact of interventions to improve it. [ABSTRACT FROM AUTHOR]

Copyright of Critical African Studies is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

An organized knowledge base can facilitate the exploration of existing knowledge and the detection of emerging topics in a domain. Knowledge about and around Geographic Information Science and its associated system technologies (GIS) is complex, extensive and emerging rapidly. Taking the challenge, we built a GIS knowledge graph (GIS-KG) by (1) merging existing GIS bodies of knowledge to create a hierarchical ontology and then (2) applying deep-learning methods to map GIS publications to the ontology. We conducted several experiments on information retrieval to evaluate the novelty and effectiveness of the GIS-KG. Results showed the robust support of GIS-KG for knowledge search of existing GIS topics and potential to explore emerging research themes. [ABSTRACT FROM AUTHOR]

Formal Concept Analysis (FCA) is a mathematical technique that has been extensively applied to Boolean data in knowledge discovery, information retrieval, web mining, etc. applications. During the past years, the research on extending FCA theory to cope with imprecise and incomplete information made significant progress. In this paper, we give a systematic overview of the more than 120 papers published between 2003 and 2011 on FCA with fuzzy attributes and rough FCA. We applied traditional FCA as a text-mining instrument to 1072 papers mentioning FCA in the abstract. These papers were formatted in pdf files and using a thesaurus with terms referring to research topics, we transformed them into concept lattices. These lattices were used to analyze and explore the most prominent research topics within the FCA with fuzzy attributes and rough FCA research communities. FCA turned out to be an ideal metatechnique for representing large volumes of unstructured texts. [ABSTRACT FROM PUBLISHER]

In this paper, we develop a statistical monitoring scheme for multivariate count data. In many applications involving multivariate count data, individual variables are not only correlated to each other, but also over-dispersed. Traditional statistical monitoring methods for multivariate count data that assume simple statistical models fail to fit the data collected when the underlying process is under normal working state, also referred to as the in-control state. Therefore, we propose a monitoring scheme which is based on the Poisson–multivariate Gaussian mixed model. Although such models are quite flexible, efficient statistical monitoring schemes for such models have not been developed. In this paper, we develop likelihood ratio test-based monitoring schemes that are shown to be superior to standard multivariate statistical monitoring schemes. The key challenge in developing likelihood ratio test for the Poisson–multivariate Gaussian mixed models is that the likelihood function can only be calculated by multidimensional numerical integration. We tackle this issue using an approximation of this complex likelihood function. [ABSTRACT FROM PUBLISHER]

Artefacts are human-made objects deemed culturally and historically significant. But they are also those scratches, burns and glitches that appear on audiovisual screens due to poor projection, improper storage or faulty processing. They are those unwanted additions that visualise the presence of loss. This paper explores the politics of audiovisual loss by looking at the history of the Ghana Film Industry Corporation film collection's demise alongside the 2020 films by Onyeka Igwe – a so-called archive and No Archive Can Restore You – that feature a similar collection in Nigeria. Igwe's exploratory camera floats around the Nigerian Film Corporation building documenting the filmic carnage within its vaults, reminding audiences that archival horror lies in the "colonial residue" of the archive's architecture. Artefacts of decay in Igwe's films, that mark the elimination of information from the image that restoration seeks to renew, are not the result of inaction, but acts of refusal. Film artefacts not only mark loss but are also traces of postcolonial affect. As such, I argue that archival neglect and the losses that it produces may also be acts of archival labour – an articulation of artefacting. [ABSTRACT FROM AUTHOR]

The introduction of ChatGPT 3.5 in November 2022 ignited a sensation in the academic community, leaving many astounded by its capabilities. This new release more closely emulates human responses than its predecessors. Among its remarkable capabilities, it can answer questions, catalog items in MARC21, recommend reading lists, and make suggestions on a wide array of topics. To assess ChatGPT’s efficacy in aiding library users, the authors of this paper conducted an experiment comparing ChatGPT’s performance with that of librarians in answering reference questions. Thirty questions were randomly selected from the transaction log of the reference inquiries between June 1, 2023 to July 31, 2023 at the Rider University Libraries. These queries constituted 34% of the total user questions during this two-month period. The authors compared the answers by ChatGPT and those by reference librarians for their accuracy, relevance, and friendliness. The findings indicate that reference librarians markedly outperformed their robotic counterpart. An evident issue arises from ChatGPT’s deficiency in understanding local policies and practices. This consequently hinders its ability to provide satisfactory answers in those areas. OpenAI posits that ChatGPT’s proficiency can be enhanced through targeted fine-tuning using locally specific information. At the moment, ChatGPT remains a great tool for librarians. [ABSTRACT FROM AUTHOR]

Adopting semantic technologies has proven several benefits for enabling a better representation of the data and empowering reasoning capabilities over it. However, there are still unresolved issues, such as the shift from heterogeneous documents to semantic data models and the representation of search results. Thus, in this paper, we introduce a novel FramEwork for hybrid molEcule-baseDSEmantic SEARCH, entitled FEED2SEARCH, which facilitates Information Retrieval over a heterogeneous document corpus. We first propose a semantic representation of the corpus, which automatically generates a semantic graph covering both structural and domain-specific aspects. Then, we propose a query processing pipeline based on a novel data structure for query answers, extracted from this graph, which embeds core information together with structural-based and domain-specific context. This provides users with interpretable search results, helping them understand relevant information and track cross document dependencies. A set of experiments conducted using real-world construction projects from the Architecture, Engineering and Construction (AEC) industry shows promising results, which motivates us to further investigate the effectiveness of our proposal in other domains. [ABSTRACT FROM AUTHOR]

Data deduplication has become a promising technique that significantly reduces space utilization of cloud storage servers and optimizes the network bandwidth. A variety of deduplication techniques have been proposed to enhance the cloud server's storage efficiency. Most of the deduplication schemes do not address global indexing and user privacy issues. This paper elucidates a novel three-tier secure data deduplication architecture (referred to as SEEDDUP) for data storage and retrieval in the cloud. SEEDDUP provides data deduplication with proper indexing and user privacy. In this work, the optimal chunk size, for a given file size and format, is calculated using Cuckoo Search Algorithm. The chunk existence in the cloud is verified by the hash value generated via SHA3-512. To improve data deduplication speed, Merkle Hash Tree based MapReduce (MHTMR) is used for fast index lookup, which improves the performance at data storage and retrieval. In addition, data are encrypted based on its sensitivity level (low and high) using Niederreiter Public Key Cryptosystem. With this new SEEDDUP architecture, only legitimate users can request data successfully for limited times (k) and spurious data requests cannot be processed or handled in the cloud. Experimental results show that the proposed SEEDDUP can reduce latency, achieved good throughput and deduplication efficiency (chunk size variance and security measures) in data deduplication. [ABSTRACT FROM AUTHOR]

Earth observation data provides valuable information and support along the disaster management cycle. However, information from satellite remote sensing is often not available in the first hours a crisis occurs, due to several reasons, e.g. pre-defined acquisition times, cloud coverage, downlink capacities. To fill this time gap and add value to the incoming results from remote sensing data, ancillary datasets such as Twitter data become useful to enrich data and get insights into events by leveraging their spatio-temporal and thematic references. However, the main disadvantage of using Twitter data is the noise that is introduced into analyses by these data. Among other reasons, this is mainly caused by the use of insignificant search criteria that are used to harvest the data, that often result in irrelevant, noisy data (e.g. using insignificant keywords or incorrect geotags to filter data). This paper presents a method to identify crisis-event specific signal words, that are then used together with Part Of Speech (POS) tagging to filter the Twitter streams, and gather crisis-event specific data. These data are then used to estimate the location hotspots of the crisis events. The developed methods are applied as a proof-of-concept to determine flood events in May of 2022. [ABSTRACT FROM AUTHOR]

Copyright of Canadian Journal of Remote Sensing is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Digital gazetteers provide information on named features, linking the feature's name with its location and its type. They have been growing in importance recently as the basis of a range of services, including way-finding, georeferencing, and intelligence. This introduction to the following collection of five research papers expands on contemporary applications of digital gazetteers, explores the issues associated with each of the three types of information, and defines three broad areas of research: the components of gazetteers; the process by which places are named and evolve; and the issues of interoperability between digital gazetteers. Each area is represented by at least one paper in the collection. Digital gazetteers increasingly form the interface between the informal discourse of humans and the formal world of geographic information science. [ABSTRACT FROM AUTHOR]

Introduction Research in palliative care (PC) is often regarded as challenging due to the vulnerability of the population and other peculiarities. We aim to systematically identify barriers to research in PC in the literature. Methods The electronic databases CINAHL, MEDLINE were searched for papers published in the last 25 years. Citations and then abstracts were screened for inclusion. Original papers were included on first-level analysis. On a second level reviews, reports, and position papers were analyzed. Papers containing a direct patient report were specifically analyzed. Barriers were categorized (ethical considerations, financial and time expenses, study design and methodology, human resources and politics) and results quantified. Results Twenty-one original papers and 65 other papers were included. Five studies involved patients directly, five were systematic reviews, three were study experiences, and seven were surveys or workshop reports. Most papers originated from UK, USA, or Norwegian Universities. Ethics and methods were the most often mentioned categories on both levels. Accrual, attrition, and gatekeeping were frequently named barriers. Complex invasive studies or possible side effects hinder patients' participation, as patients are often willing to participate for altruistic motivations. Discussion Barriers to PC research are ethical concerns and methodological challenges. Possible strategies to overcome methodological barriers include international collaborative efforts to include more patients and improve study designs. Ethical barriers indicate the need for patient involvement in the research development process and tailoring research specifically to the PC population. [ABSTRACT FROM AUTHOR]

This paper utilizes social cognitive learning theory to guide and explain the development of prototype educational experiences for information systems concepts. The paper applies the major framework of social cognitive learning theory, its recognition of the reciprocity and interaction among cognitive, behavioral, environmental, and physiological/affective influences. In this learning process, it is argued that people learn from a variety of experiences and from the observation of the actions of others. This paper uses social cognitive learning theory to explain the structure for an MIS educational experience, and applies a group support system (GSS) in a course module with specific learning objectives. Finally, the paper describes an MIS classroom experience (a module covering systems analysis [SA] methodology) which has been used to apply the GSS to prototype MIS problems (working scenarios with questions and organizational data). [ABSTRACT FROM AUTHOR]

The advent of powerful computers and relatively inexpensive disk storage has had a profound effect on marketing and market research. In particular, companies are now able to construct very large databases containing information about their customers. However, companies are now faced with the problem of how to use these vast sources of information to their advantage. Two typical problems discussed in this paper are data fusion and selecting those likely to respond to a particular marketing campaign, for example, a particular mailshot. Such problems are difficult to solve exactly for all but the smallest of problem instances due to their complexity. There are a number of computer-based heuristic methods which have been successfully applied to problems outside the marketing domain, but for which there are relatively few examples of successful applications within marketing. These techniques are reviewed in this paper and their application to large marketing databases discussed. [ABSTRACT FROM AUTHOR]

Database systems are pervasive components in the current big data era. However, efficiently managing and querying grid-based or array-based multidimensional climate data are still beyond the capabilities of most databases. The mismatch between the array data model and relational data model limited the performance to query multidimensional data in a traditional database when data volume hits a cap. Even a trivial data retrieval on large multidimensional datasets in a relational database is time-consuming and requires enormous storage space. Given the scientific interests and application demands on time-sensitive spatiotemporal data query and analysis, there is an urgent need for efficient data storage and fast data retrieval solutions on large multidimensional datasets. In this paper, we introduce a method for multidimensional data storing and accessing, which includes a new hash function algorithm that works on a unified data storage structure and couples with the memory-mapping technology. A prototype database library, LotDB developed as an implementation, is described in this paper, which shows promising results on data query performance compared with SciDB, MongoDB, and PostgreSQL. [ABSTRACT FROM AUTHOR]

Based on data sources systematically tracking government activity such as budgets and bill hearings, the Punctuated Equilibrium Theory literature has demonstrated that policy processes in both democracies and nondemocracies feature long periods of stasis interrupted by dramatic changes. However, there is a lack of research that systematically examines China's policy process. In response, this article introduces a new dataset drawn from China State Council Gazettes from 1980 to 2019 to measure policy punctuations and agenda diversity in China. We find that punctuations in China's policy process are more intense than those in democracies. The findings further show that China's policy process features more positive punctuations than negative punctuations. We also find an overall increasing trend of agenda diversity and a pattern of alternation between agenda expansion and concentration across the forty years analyzed in this paper. These findings provide new long-term evidence regarding patterns of policy stability and change in the Chinese context and contribute to our understanding of China's politics of attention and its linkage with information inefficiency and survival politics. [ABSTRACT FROM AUTHOR]

Medical librarians can increase their work visibility and highlight their unique role on evidence synthesis teams with searchRxiv, an open access repository that makes librarian's efforts easily citable and resolves longstanding challenges pertaining to reproducing full search strategies within literature review articles. This column will discuss how to navigate searchRxiv to find, reuse, and cite published search strategies, as well as the process of depositing search strategies. [ABSTRACT FROM AUTHOR]

Research on the ethics of the home-school partnerships in secondary education is scarce. This paper uses data from three case studies to argue: students have a right to privacy which home-school partnerships can circumvent, parents can be used as a resource to leverage compliance from students which undermines young people's privacy, and developing trusting relationships between parents and teachers is complex when considering the power differentials within that relationship. This article concludes that specific areas around privacy that require greater consideration include: the use of parents to leverage behavioural change in students, the sharing of information students may legitimately believe is intimate without consent, and seeking a change in values within the home. We also consider the areas of resistance students have displayed towards an encroachment on their private spheres. [ABSTRACT FROM AUTHOR]

Tabla is a North Indian percussion instrument that serves as both an accompaniment and a captivating solo instrument. Tabla solo is intricate and elaborate, exhibiting rhythmic evolution through a sequence of homogeneous sections marked by shared rhythmic characteristics. Each section has a specific structure and name associated with it. Tabla learning and performance in the Indian subcontinent is based on stylistic schools called gharānās. Several compositions by various composers from different gharānās are played in each section. This paper addresses the task of segmenting the tabla solo concert into musically meaningful sections. We then assign suitable section labels and recognise gharānās from the sections. We have curated a diverse collection of more than 38 hours of solo tabla recordings for the task. We motivate the problem and present different challenges and facets of the tasks. Inspired by the distinct musical properties of tabla solo, we compute several rhythmic and timbral features for the segmentation task. This work explores the approach of automatically locating the significant changes in the rhythmic structure by analysing local self-similarity in an unsupervised manner. We also explore the supervised random forest and a convolutional neural network trained on hand-crafted features. Both supervised and unsupervised approaches are also tested on a set of held-out recordings. Segmentation of an audio piece into its structural components and labelling is crucial to many music information retrieval applications like repetitive structure finding, audio summarisation, and fast music navigation. This work enables a comprehensive musical understanding and description of tabla solo concerts. [ABSTRACT FROM AUTHOR]

This special issue of the Journal of Mathematics and Music addresses the topic of computational music analysis. It arose from a series of two international workshops on the topic, one in Berlin and one in Paris, both of which created interesting discussions and debates. In the call for papers, this special issue welcomed previously unpublished contributions that presented computational approaches of any type of music analysis. As a special focus, all papers were asked to analyse the same piece: the first movement of Brahms' String Quartet No. 1. The aim was to bring together diverse computational analytical approaches and methodologies, such as structural, motivic, semiotic, comparative, reductional, harmonic, transformational, and others, using a variety of computational implementation techniques. By focusing on to the same piece, similarities, differences, and complementarities among the approaches on both the methodological and the analytical results levels could be more easily observed. Authors were particularly encouraged to consider Forte's [1] and Huron's [2] analyses of the string quartet, and relate them to their own work if possible. Three papers were chosen for publication, which reflect the various aspects and levels of computation involved. [ABSTRACT FROM AUTHOR]

The paper analyses the trends of information delivery at the Knust library. It reviews the history of cooperation, conventional practices in information delivery, and current trends in Ghana. CD-ROM and online facilities, which are the two main tools for electronic information delivery, are highlighted. The paper reveals that there is a general acceptance among members of the academic community that electronic information delivery services have had considerable impact on their work. The paper looks into the future of document delivery and proposed possible ways of enhancing and sustaining the existing facilities. [ABSTRACT FROM AUTHOR]

This year marks the 10th anniversary of SAR and QSAR in Environmental Research. In this occasion, an attempt was made to highlight the particularities of the journal since its launch in 1993. The 306 papers already published were encoded by means of 21 selected descriptive parameters such as geographical origin, type of endpoint, molecular descriptor, statistical technique and so on. A linear multivariate analysis was used to graphically analyze the obtained data matrix. Specific domains of research to continue to favor in the journal for the next decade were also underlined. [ABSTRACT FROM AUTHOR]

Current metadata schema, internet search engines and databases of scientific literature have an Anglo-American language and cultural bias. While it is possible to catalogue or index non-English, non-Latin script publications and achieve some degree of success in the retrieval of such information, librarians and researchers are often disappointed by inconsistencies in the accuracy of search results for this type of publication and frustrated by the limitations created by the biases embedded in the technology and schema. This paper is the result of a two-year dialog between a Farsi-speaking medical librarian in Iran and an English-speaking metadata librarian in Canada. They present the argument that a metadata schema which incorporates graphical images such as Emoji along with keyword indexing or a controlled vocabulary and new search engines which can make use of the new schema for Boolean searching is a robust potential solution for the difficulties they discussed. While this new information seeking environment that requires both the edition of a graphical facet to metadata schema and new search engines presents the potential to break down significant intercultural barriers, the authors recognize that this undertaking is more than a simple technological or procedural change but would require significant agreement between and work from librarians, standards bodies and researchers. [ABSTRACT FROM AUTHOR]

Memory recall/information retrieval of a patient's medical history within the medical appointment is reported to be 'flawed, incomplete and erroneous'. This, despite the importance of medical history to the diagnostic process. Our systematic literature review explores the memory recall challenges reported in literature. Our analysis, identifies 49 publications that considers recall within the medical appointment. Rigorous examination using open coding techniques, has identified 227 concepts, compiled into 63 categories, three of which we have analysed in this paper. Our results point to the prevalence of three leading memory recall/information retrieval challenges reported over the past 43 years; forgetting, health literacy and emotional state. This affords stakeholders with a renewed appreciation regarding the struggle's patients/carers have recalling their medical histories. Additionally, the review proposes a conceptual model of memory recall/information retrieval within the medical appointment. Furthermore, the analysis highlights the research gaps that exist, serving as suggestions for future potential enquiry. [ABSTRACT FROM AUTHOR]

Cloud computing is the new enabling technology that offers centralised computing, flexible data storage and scalable services. In the manufacturing context, it is possible to utilise the Cloud technology to integrate and provide industrial resources and capabilities in terms of Cloud services. In this paper, a function block-based integration mechanism is developed to connect various types of production resources. A Cloud-based architecture is also deployed to offer a service pool which maintains these resources as production services. The proposed system provides a flexible and integrated information environment for the Cloud-based production system. As a specific type of manufacturing, Waste Electrical and Electronic Equipment (WEEE) remanufacturing experiences difficulties in system integration, information exchange and resource management. In this research, WEEE is selected as the example of Internet of Things to demonstrate how the obstacles and bottlenecks are overcome with the help of Cloud-based informatics approach. In the case studies, the WEEE recycle/recovery capabilities are also integrated and deployed as flexible Cloud services. Supporting mechanisms and technologies are presented and evaluated towards the end of the paper. [ABSTRACT FROM AUTHOR]

This paper identifies two important themes in a consideration of skill acquisition in information studies. First, the means by which students, in general, acquire competency in transferable skills such as information retrieval and information searching. Second, how information searching is a special ability that is facilitated by new technologies, such as hypermedia/server/client information systems along with knowledge elicitation and representation techniques. Following a discussion of a generalizable framework for skill acquisition, the paper considers information need—from a transferable skills perspective. The use of knowledge elicitation techniques such as graphical browsers is emphasized. The paper highlights the distinction between discovering and revealing tacit knowledge. The paper concludes with a discussion of recent work on using Multi-dimensional Scaling and other scaling techniques such as Pathfinder (PFNet) algorithms to uncover tacit knowledge in pre paration for information searching. The paper includes a number of recommendations on the way information need—as a transferable skill—can be facilitated in information studies courses. [ABSTRACT FROM AUTHOR]

Modeling information seeking behavior was started in the early 1980s pioneered by Wilson. More than 70 models in the last four decades on information seeking behavior have emerged. The models delineate the concepts from cognate subjects such as psychology and sociology. The authors made an analytical study of these models and identified many concepts of library and information science (LIS); from information processing and retrieval, reference service case studies and the evaluation experiments of information retrieval systems intrinsically are hidden in these models that have not been explicitly expounded as part of information seeking traits. The Chain Indexing devised by Ranganathan has an inclusive concept into information seeking with the phrase "Sought Link" to select the relevant subject heading(s) derived from the document(s) for indexing and to assign as the sought term(s) in the subject catalogue. Lancaster in the evaluation of MEDLARS identified phrases; serendipity and novelty ratio in response to users queries to the system. The paper after an in depth study of these ideas and with an analytical review of the models implies many of the classical concepts from LIS are implicit-in information seeking patterns of users. The paper conjures up to investigate them in the models of information seeking behavior as pragmatic rather only on user perceptions. [ABSTRACT FROM AUTHOR]

The outsourcing of Electronic Health Records (EHR) on cloud infrastructures has enabled medical data sharing among several healthcare applications. The blockchain offers security by authenticating users with encryption methods. The collaboration with the cloud provides better management but poses threats to the privacy of the patient. This paper devises a novel blockchain-assisted framework for effective data sharing and retrieval using cloud platforms. Here, the data protection model is devised in EHR application for secure transmission. The entities in the cloud platform include data user, data owner, smart agreement, transactional blockchain, and Inter-Planetary File System (IPFS). Here, the data owner includes a data protection model to secure EHR in which secured EHR is transferred to IPFS before sharing with the data user. The data protection is done by preserving data privacy using Tracy-Singh product and proposed Conditional Autoregressive Value at risk (CAViaR)-based Bird swarm algorithm (CAViaR-based BSA) combination of BSA and CAViaR for generating optimal privacy-preserving coefficients. The objective function is newly devised considering privacy and utility. The proposed CAViaR-based BSA outperformed other methods with minimal responsiveness of 251.339 s, maximal genuine user detection of 32.451%, maximal privacy of 96.5%, and minimal information loss of 3.5%. [ABSTRACT FROM AUTHOR]

Over the last two decades, the PageRank problem has received increased interest from the academic community as an efficient tool to estimate web-page importance in information retrieval. Despite numerous developments, the design of efficient optimization algorithms for the PageRank problem is still a challenge. This paper proposes three new algorithms with a linear time complexity for solving the problem over a bounded-degree graph. The idea behind them is to set up the PageRank as a convex minimization problem over a unit simplex, and then solve it using iterative methods with small iteration complexity. Our theoretical results are supported by an extensive empirical justification using real-world and simulated data. [ABSTRACT FROM AUTHOR]

When aspiring recording artists audition for NBC's The Voice, they sign a Non-Disclosure Agreement (NDA) for the opportunity to audition. Part of this NDA stipulates that they will pay a 500,000 USD penalty for every instance in which they disclose information about the show's business practices. In this paper, I present NDAs as a mechanism used in reality television, and throughout society, for powerful wealthy interests to silence subordinates. To do this I use the case study of The Voice to demonstrate how the show conceals precarious and exploitative labor practices. Most of the current literature on NDAs is located in Business disciplines and focuses on the business benefits of having employees sign NDAs. This paper intervenes in this literature from a sociological perspective by exploring NDAs as social institutions deployed by the Culture Industry to exploit the labor of cultural workers. [ABSTRACT FROM AUTHOR]