Relevant Web Resources Research Articles

Strategic Planning & Industry Sector Enhancing SDGS

Objective: The objective of this study is to explore the nature of strategic planning (SP) in four selected industry sectors (IS) in regard to the SP-IS relationships, the features and aspects that influence SP in and within one industry as well as with the selected industry sectors. Design/methodology/approach: A total of 28 related studies were selected from electronic academic resources and databases (e.g., Google scholar, Emerald, and Academia …etc.). The criteria used in selection is based on the easiest and most accessible documents to the researcher by using the title of the study with similar terms and words for the selected industry sectors. Four sectors have been selected: SP in banking, tourism & hospitality, healthcare, and higher education sector. The selected study samples were conducted in different countries of the world. Tables used are divided into columns for summarizing the essential data for each study such as study title, type of industry sector and country, findings, SP components, and its influence on performance. Selected studies have been carefully reviewed and evaluated. The methodology and construct of each study is considered, and the content analysis is used in addition to the researcher’s real-life experiences, as well as the opinions of academic peers were considered. Findings: The purpose of every examined study for each industry sector was identified and compared with same industry and with other examined industry sectors. The majority of the studies reviewed had similar objectives. The SP and SM concepts are well-known, understood, and used in many industry sectors. The findings show that SP has a favorable influence, and repeated elements and dimensions have been identified. More importantly, all of the evaluated studies have titles that include SP, strategic implementation (SI), or strategic management (SM) either explicitly or implicitly. Research limitations/implications: The results of the study are related to chosen studies of 4 industry sectors. As such, it is not possible to generalize these findings. The restricted accessibility to the relevant databases, journals, and web resources is another research barrier. Moreover, this kind of study—or one comparable to it—requires a longitudinal research approach. As such, the writer makes every attempt to condense the information that is accessible and comprehensible to him. Originality/value: This study highlights the SP-IS relationship of four important industry sectors in different countries with varied SP comparative features.

Demographic Variables and Web Information Seeking Behavior of Final Year University Students in Nigeria

The study examined demographic variables and web information-seeking behaviour of final-year university students in Nigeria. The study utilized a survey research approach, employing a questionnaire as the primary data collection tool. The research population consisted of 377 final-year undergraduates selected purposively from three universities in Nigeria. The results of the study indicated that students primarily sought web-based information to complete class assignments and research projects. Additionally, challenges such as information overload and the high cost of subscriptions were identified in connection with students’ online information-seeking behaviour. The study concluded that a good number of students frequently seek information from Google search and Wikipedia as well as electronic journals, which has helped them meet the demands of their academic pursuits. The study recommended, among others, that university libraries should encourage faculty members to continually assign research tasks to students that will compel them to visit their electronic libraries, where they will get new knowledge and acquire skills in web information searching. Librarians, through user education programmes, should organize practical sessions where students would be taught how to search and retrieve relevant web resources.

Collection, compilation and analysis of bacterial vaccines

BackgroundBacterial diseases are one of the leading causes of millions of fatalities worldwide, mainly due to antimicrobial resistance. The discovery of chicken cholera vaccine in 1879 revolutionized our fight against bacterial infections. Bacterial vaccines are proven to be highly effective in preventing many infectious diseases. Currently, various licensed vaccines are available against bacterial infections such as typhoid, diphtheria, cholera and tetanus in the market. In this study, we have attempted to compile different information regarding bacterial vaccines, their types, efficacy, mechanism of action, status, route of administration and other relevant details as a knowledgebase known as BacVacDB. MethodsBacVacDB was implemented using Linux-Apache-MySQL-PHP. HTML, PHP, CSS and Javascript have been used to develop the front end and MySQL for the back end. The data was curated from several sources, including literature, databases and relevant web resources. ResultsThis paper reviewed 371 vaccines against 30 human bacterial diseases maintained in BacVacDB, of which 167 are approved and 204 in clinical trials. This database provides the users an effortless search facility in the four modules, ‘Search,’ ‘Browse,’ ‘External Links’ and ‘General Information’. In this systematic attempt, we also included the history of vaccines, their mechanism, types, route of administration and approving agencies. ConclusionsThis knowledgebase has an intuitive interface that allows users to explore, search, and download information as well as to submit new bacterial vaccines (https://webs.iiitd.edu.in/raghava/bacvacdb/).

US Police Department’s Representation in The New York Times Article “George Floyd’s Brother Pleads with Congress: ‘Make it Stop’”: A Critical Discourse Analysis

The study aims to examine the representation of the US Police Department in a foreign media news article, The New York Times, entitled “George Floyd’s Brother Pleads with Congress: ‘Make it Stop’”. The text itself discusses an incident of brutality and systemic racism involving the US Minneapolis police officers towards George Floyd, an African-American, which leads to his death. This incident can be considered to be one of the biggest news that attracts the most attention, reaction, and action all over the world in 2020. This research uses Critical Discourse Analysis proposed by Teun A. van Dijk, focusing only on the micro-level analysis: macrostructure, microstructure, superstructure. There are four linguistics tools applied in the microstructure, which are rhetorical question, lexicalization, metaphor, and implication. The qualitative descriptive method is the research method used. Since the data are collected by searching for information in the Internet and other printed references, this research is also categorized into a library research for the fact that it has a wide scope of sources, including the academic journal, newspapers, magazine, e-books, relevant web resources, and various multimedia. The result shows that through these three aspects of the microstructure analysis, the author portrays a negative representation of the US Police Department.

Modeling the process of searching for operationally significant information from open state information resources

Objective. The purpose of the study is to increase the effectiveness of measures to identify, investigate and disclose offenses and crimes based on the analysis of Internet resources in order to identify and structure information suitable for intellectual analysis; identify relationships between data categories, develop a model for obtaining operationally significant information from open government information resources. Method. The study is based on the use of statistical analysis to describe the general structure of information about an individual posted in official state information resources. A categorized list of relevant web resources containing operationally significant information about a person or subject of a crime is compiled on the basis of expert assessments of law enforcement officers. To determine the relationships between data categories, a graphical-analytical method for studying information flows was used, and a graph model for obtaining operationally significant information from open state information resources was built. Result. The results of the analysis of Internet resources in order to identify information suitable for intellectual analysis are presented, their structuring is carried out, relationships between data categories are identified, and a model for obtaining operationally significant information from open state information resources is developed. Conclusion. The conducted system analysis of the state information resources of the Internet made it possible to identify the relationship between the categories of data and use them to obtain operationally significant information from open state information resources. In practice, the constructed model can be used to optimize fuzzy search. To solve this problem, it seems possible to use Kohonen neural networks or Hamming algorithms. The apparatus of neural networks will allow you to determine patterns and optimize the search for operationally significant information.

Policy parameters for optimising hospital ePrescribing: An exploratory literature review of selected countries of the Organisation for Economic Co-operation and Development

ObjectiveElectronic prescribing systems offer considerable opportunities to enhance the safety, effectiveness and efficiency of prescribing and medicines management decisions but, despite considerable investments in health IT infrastructure and healthcare professional training, realising these benefits continues to prove challenging. How systems are customised and configured to achieve optimal functionality is an increasing focus for policymakers. We sought to develop an overview of the policy landscape currently supporting optimisation of hospital ePrescribing systems in economically developed countries with a view to deriving lessons for the United Kingdom (UK).MethodsWe conducted a review of research literature and policy documents pertaining to optimisation of ePrescribing within hospitals across Organisation for Economic Co-operation and Development (OECD) countries on Embase, Medline, National Institute for Health (NIH), Google Scholar databases from 2010 to 2020 and the websites of organisations with international and national health policy interests in digital health and ePrescribing. We designed a typology of policies targeting optimisation of ePrescribing systems that provides an overview of evidence relating to the level at which policy is set, the aims and the barriers encountered in enacting these policies.ResultsOur database searches retrieved 11 relevant articles and other web resources mainly from North America and Western Europe. We identified very few countries with a national level strategy for optimisation of ePrescribing in hospitals. There were hotspots of digital maturity in relation to ePrescribing at institutional, specialisation, regional and national levels in the US and Europe. We noted that such countries with digital maturity fostered innovations such as patient involvement.ConclusionsWe found that, whilst helpful to achieve certain aims, coordinated strategies within and across countries for optimisation of ePrescribing systems are rare, even in countries with well-established ePrescribing and digital health infrastructures. There is at present little policy focus on maximising the utility of ePrescribing systems.

Image-Matching Based Identification of Store Signage Using Web-Crawled Information

We address automatic matching of street images with relevant web resources to enable the identification of store signage in street images. Identification methods for signage usually involve image matching, which attempts to match query images to other similar viewings using pre-labeled copies from a target data set. Manual target data set, such as a fingerprinting database can ensure high-quality data but collected data must be fed manually, which significantly adds costs. Utilizing web-crawled information is a way for automatic data set generation at lower cost, however, imbalanced and noisy data can adversely affect identification accuracy. Our work aims to resolve these issues. We propose a signage identifier in Web-crawled information – SIWI. The SIWI includes a web image data set construction method, which can self-generate high-quality data sets through automated web-mining, including data filtering and pruning strategies, which effectively reduce the identification error caused by noise, imbalance, and insufficient data. Furthermore, by applying a Hybrid Image Matching method that combines the deep learning approach with the feature point matching to signage identification without Optical Character Recognition, it can handle arbitrary signage designs. Because there is no specialized training involved, the same process should also work for any other locations without manual adjustment. An experimental result achieves 91% accuracy in a real-life application, which confirms its effectiveness.

Approaches to Occupational Rehabilitation and Return to Work in Four Jurisdictions: A Cross-National Analysis From the Perspective of the ISSA Guidelines on Return to Work and Reintegration

The guidelines published by the International Social Security Association,ISSA Guidelines: Return to Work and Reintegration, provide a policy imperative towards early intervention for people with nonoccupational health conditions at risk of exiting the workforce and moving to disability dependency. Socioeconomic and fiscal imperatives have been demonstrated by the Organisation for Economic Co-operation and Development's (OECD) review on sickness, disability and work (OECD, 2010), and by an accumulating evidence base for effectiveness. This study explored how social protection agencies are responding in terms of employment rehabilitation services for employed people with acquired disabilities. Specifically, this study reviewed job retention and return processes for workers with nonoccupational health conditions from the perspective of the ISSA guidelines in four jurisdictions with differing system frameworks. The methods used included a review of relevant literature and web resources and gathering detailed system descriptions from national respondents. Although the jurisdictions differed in the concepts used, service context, the structure of welfare systems and eligibility criteria, there was evidence of an acknowledgement of the needs of employed people with disabilities. This was not, however, consistently reflected in procedures, processes or outcome measurements. While some promising characteristics were identified, there was substantial room for improvement in the job retention and return to work strategies of the relevant agencies in all four jurisdictions. It was concluded that the deployment of theISSA Guidelines: Return to Work and Reintegration, published in 2013, had yet to make a substantial impact on services and approaches in the domain of nonoccupational health conditions in these jurisdictions.

SMS4dads: Providing information and support to new fathers through mobile phones – a pilot study

ABSTRACTObjective: The objective of this paper was to inform the development of a mobile phone-optimised, SMS-based, informative and interactive telephone-linked support system for new fathers.Methods: The SMS4dads intervention was designed to support fathers with helpful and encouraging text messages, links to relevant web resources, mood monitoring and connection to a crisis telephone support if needed. Forty-six participants were recruited through clinics and social media across Australia. Outcome measures evaluated uptake, user engagement and acceptability.Results: Forty men (87%) remained engaged with the SMS4dads intervention for the full six-week period. Users' feedback indicated that SMS4dads had good acceptability and that the content was helpful. An embedded tool to allow tracking of users' mood was utilised by slightly less than half of the study participants. Concerning levels of psychological distress may have been detected in several participants.Conclusion: The results provide tentative support for the use of mobile phone technology to deliver parenting and mental health information to men in the perinatal period. Participants' engagement and positive responses suggest that this technology could provide a welcome conduit for essential information and support for new fathers, and could potentially be further developed as a feasible medium for collecting information on fathers' levels of psychological distress.

Key Resources for Community College Student Success Programming

This chapter provides an overview of organizations and other entities focused on assisting community college staff, faculty, and administrators in developing and promoting student success outcomes. We provide a listing of relevant web resources related to programming and conclude with a summary of suggested readings.

Perinatal mental health cultural responsiveness training – an evaluation

Purpose – Women from culturally and linguistically diverse communities face barriers to accessing perinatal mental health care. Victorian Transcultural Mental Health (VTMH) is a state-wide service in Victoria, Australia, that supports specialist mental health service providers to improve cultural responsiveness. VTMH provided training for perinatal health professionals in cultural responsiveness. The paper aims to discuss these issues. Design/methodology/approach – A curriculum was specifically developed based on a literature review, consultation forum, and input from members of an industry-based reference group. An Evaluation Tool was designed to collect participants’ feedback regarding the perceived relevance of the training content and its impact on practice. Responses were analysed using quantitative techniques and thematic analysis. Findings – Nine face-to-face training sessions were provided, in metropolitan and rural regions. In all, 174 professionals of various backgrounds (including midwives, mental health professionals, and maternal child health nurses) attended. In all, 161 completed evaluations were received and responses indicated that the training was of high relevance to the target workforce, that the training would have implications for their practice, and support was given for further training to be delivered using online methods. Research limitations/implications – First, an assessment of the cultural competence of participants prior to enrolment in the course was not conducted, and no matched control group was available for comparison with the participants. Second, generalisability of these findings to other settings requires further investigation. Third, the sustainability of the project is an area for further study in the future. Fourth, other methods including direct interviews of focus groups with participants may have yielded more detailed qualitative feedback regarding the effectiveness of the programme. Practical implications – To facilitate the sustainability of the project, following the face-to-face training, an online training module and a resource portal were developed, offering links to relevant web sites and resources for health professionals working in this field. Originality/value – The training addressed a significant unmet need for cultural responsiveness training for a diverse range of practitioners in the field of perinatal mental health. Online training can be adapted from face-to-face training and it is anticipated that online training will facilitate the sustainability of this initiative.

Improving large-scale search engines with semantic annotations

Traditional search engines have become the most useful tools to search the World Wide Web. Even though they are good for certain search tasks, they may be less effective for others, such as satisfying ambiguous or synonym queries. In this paper, we propose an algorithm that, with the help of Wikipedia and collaborative semantic annotations, improves the quality of web search engines in the ranking of returned results. Our work is supported by (1) the logs generated after query searching, (2) semantic annotations of queries and (3) semantic annotations of web pages. The algorithm makes use of this information to elaborate an appropriate ranking. To validate our approach we have implemented a system that can apply the algorithm to a particular search engine. Evaluation results show that the number of relevant web resources obtained after executing a query with the algorithm is higher than the one obtained without it.

Focused crawling of tagged web resources using ontology

Scrutinizing web resources of interest from a large number of search results is a tedious task for any web user. Fortunately, social sites such as Social Bookmarking Site (SBS) allow web users to store their preferences and searched results of their interest in the form of bookmarks. Such sites however contain lots of irrelevant data as noise and, predicting relevant URLs from the noise is a real challenge. With intent to overcome the challenge, this paper proposes a focused crawler, FCHC that mimics a human cognitive search pattern to find potentially relevant web resources from a SBS. The focused crawler utilizes domain specific Concept Ontology to semantically expand a search topic and to determine Semantic Relevance of tags. The crawler is tested with different search patterns on the ‘database’ domain and evaluated using a well established metric, harvest ratio. The performance of FCHC is analyzed and compared with focused crawlers that crawl the WWW using ontology and, without ontology.

Improving image tags by exploiting web search results

Automatic image tagging automatically assigns image with semantic keywords called tags, which significantly facilitates image search and organization. Most of present image tagging approaches are constrained by the training model learned from the training dataset, and moreover they have no exploitation on other type of web resource (e.g., web text documents). In this paper, we proposed a search based image tagging algorithm (CTSTag), in which the result tags are derived from web search result. Specifically, it assigns the query image with a more comprehensive tag set derived from both web images and web text documents. First, a content-based image search technology is used to retrieve a set of visually similar images which are ranked by the semantic consistency values. Then, a set of relevant tags are derived from these top ranked images as the initial tag set. Second, a text-based search is used to retrieve other relevant web resources by using the initial tag set as the query. After the denoising process, the initial tag set is expanded with other tags mined from the text-based search result. Then, an probability flow measure method is proposed to estimate the probabilities of the expanded tags. Finally, all the tags are refined using the Random Walk with Restart (RWR) method and the top ones are assigned to the query images. Experiments on NUS-WIDE dataset show not only the performance of the proposed algorithm but also the advantage of image retrieval and organization based on the result tags.

ContextGrid: A contextual mashup-based collaborative browsing system

Due to a large amount of resources (i.e., information and knowledge) available on world wide web, it has been more difficult for users to effectively find relevant web resources. Most of the current web browsing methods and systems have been investigated to apply adaptive approaches which can extract personal contexts (e.g., interests and preferences) of the users. In this paper, we propose a contextual mashup-based collaborative browsing (co-browsing) platform, called ContextGrid, for providing online users with various knowledge sharing services. Particularly, the proposed mashup scheme can integrate heterogeneous pieces of information collected by various Open APIs, and assist the users to decide which partners should be selected for mutual collaborations. In order to evaluate the proposed mashup-based method, we have implemented a co-browsing platform which can exchange bookmarks, and measured whether the contextual mashup scheme makes a meaningful influence on improving the performance of the co-browsing process with multiple users.

Retrieval, alignment, and clustering of computational models based on semantic annotations

The exploding number of computational models produced by Systems Biologists over the last years is an invitation to structure and exploit this new wealth of information. Researchers would like to trace models relevant to specific scientific questions, to explore their biological content, to align and combine them, and to match them with experimental data. To automate these processes, it is essential to consider semantic annotations, which describe their biological meaning. As a prerequisite for a wide range of computational methods, we propose general and flexible similarity measures for Systems Biology models computed from semantic annotations. By using these measures and a large extensible ontology, we implement a platform that can retrieve, cluster, and align Systems Biology models and experimental data sets. At present, its major application is the search for relevant models in the BioModels Database, starting from initial models, data sets, or lists of biological concepts. Beyond similarity searches, the representation of models by semantic feature vectors may pave the way for visualisation, exploration, and statistical analysis of large collections of models and corresponding data.

Systems Biotechnology: an Energing Trend in Metabolic Engineering of Industrial Microorganisms

The improvement of production processes to achieve commercially viable production levels is a prerequisite to any bioprocess. Currently, production strains are enhanced using a combination of random and targeted approach. By combining metabolomics technology and genome data analysis, it is possible to replace empirical target-selection strategies with a more scienti fi c approach. All steps of biotechnological development, from up-stream and mid-stream to down-stream processes will bene fi t signi fi cantly by taking systems biotechnological approaches. The prevalence of genome sequence information, in concert with modern molecular biology advances, should have facilitated the easy manipulation of speci fi c genes and pathways for the production of microbial metabolites. A notable success has been made on designing optimized production systems that maximize productivity and minimize raw materials costs for valuable metabolites. A remarkable advantage of this approach up-to-data and its relevant web resources is critically reviewed in this article. Indeed, this alternative approach will not only hopefully be useful for improving the productivity of many meaningful metabolites including antibiotics, enzymes, organic acids, etc. from industrially signi fi cant microorganisms but also will ensure correlation of many experimental reliabilities.

Resource description framework

Universality, the property of the Web that makes it the largest data and information source in the world, is also the property behind the lack of a uniform organization scheme that would allow easy access to data and information. A semantic web, wherein different applications and Web sites can exchange information and hence exploit Web data and information to their full potential, requires the information about Web resources to be represented in a detailed and structured manner. Resource Description Framework (RDF), an effort in this direction supported by the World Wide Web Consortium, provides a means for the description of metadata which is a necessity for the next generation of interoperable Web applications. The success of RDF and the semantic web will depend on (1) the development of applications that prove the applicability of the concept, (2) the availability of application interfaces which enable the development of such applications, and (3) databases and inference systems that exploit RDF to identify and locate most relevant Web resources. In addition, many practical issues, such as security, ease of use, and compatibility, will be crucial in the success of RDF. This survey aims at providing a glimpse at the past, present, and future of this upcoming technology and highlights why we believe that the next generation of the Web will be more organized, informative, searchable, accessible, and, most importantly, useful. It is expected that knowledge discovery and data mining can benefit from RDF and the Semantic Web.