Introduction of the Methods and Models of University Website Evaluation

Among different tools, university website is one of the cost-effective and convenient methods for communicating with users; it is also a platform for institutions or organizations to achieve their goals. Universities should work on their websites to keep positive images in their public minds. This study aimed to introduce overlapping various types of university website evaluation methods and models. Therefore, content analysis was adopted as the research methodology. Then, scientific databases were searched using the related keywords and extracting the published articles in the context of the university website evaluation. The results of this study showed that university website evaluation models and methods included Quality Web Model Development, Webqem, WAI, Webometrics, E-Qual, University Websites Evaluation and Credibility (UWEAC), University Website Evaluation Framework (UWEF), Development and Validation of the University Website Evaluation Scale (UWES), a Web Usability Evaluation Model for Higher Education (WUEM), University Websites Quality Web Model Development, University Portals Data Quality assessment Framework (UPDQAF), and the University Website Usability Evaluation checklist (UWUE): An exploratory study. In fact, webometrics is the only method that is distinct from other assessment methods. Moreover, UWEAC model with the highest average (0.194) has the most overlap with others. Since the University Websites Evaluation and Credibility (UWEAC) are the comprehensive model, university website designers and evaluators could consider this approach as a preferable model in the university website evaluation but they should ensure that most of the evaluation criteria are considered

An Exploratory Study of Online Information Regarding Colony Collapse Disorder

The cause or causes of Colony Collapse Disorder (CCD) are uncertain. CCD defines specific characteristics of the nationwide deaths of honey bee colonies in the last decade. Adult bees often disappear from the hive and die, leaving the colony weak and vulnerable to disease. Environmental scientists and agriculturalists have developed many different theories about CCD and its origins. The different theories create challenges regarding the effective dissemination of information about CCD to the different realms of public information seekers. There is a need for an exploration of the online communication of CCD information using federal environmental agency web resources. CCD research information dissemination practices are one example of the trans-disciplinary complexity surrounding many current environmental issues. The study addresses different information “packages” offered or not offered for different types of CCD information seekers. The goal of the study is to inform future research addressing the comprehensive construction of federal e-government science information by finding strengths and weaknesses in the current information landscape of CCD resources on the web

Webometric analysis of departments of librarianship and information science: a follow-up study

This paper reports an analysis of the websites of UK departments of library and information science. Inlink counts of these websites revealed no statistically significant correlation with the quality of the research carried out by these departments, as quantified using departmental grades in the 2001 Research Assessment Exercise and citations in Google Scholar to publications submitted for that Exercise. Reasons for this lack of correlation include: difficulties in disambiguating departmental websites from larger institutional structures; the relatively small amount of research-related material in departmental websites; and limitations in the ways that current Web search engines process linkages to URLs. It is concluded that departmental-level webometric analyses do not at present provide an appropriate technique for evaluating academic research quality, and, more generally, that standards are needed for the formatting of URLs if inlinks are to become firmly established as a tool for website analysis

The wQUADAS: Creation and Validation

Within this study we attempted to create an objective assessment that would measure website quality to dispel the stereotype that information found on Wikipedia is inaccurate, ultimately to encourage clinicians to utilize the evidence based assessments (EBA) pages on Wikipedia. Over 900 participants were recruited from Amazon’s Mechanical Turk (MTurk) and were tasked to rate one webpage using the assessment and one webpage not using the assessment as either quality or not. An exploratory factor analysis revealed that our assessments measured four factors of website quality: style, maintenance/coverage, coverage, and authority. Correlational data supported style as one of the four factors, and suggests that style is an important factor to those rating the quality of a webpage. At the end of the study, over 70% of participants indicated that they would use the measure again, showing promise that this measure may make a difference in how websites such as Wikipedia are perceived and utilized.Bachelor of Art

An improved negative selection algorithm based on the hybridization of cuckoo search and differential evolution for anomaly detection

The biological immune system (BIS) is characterized by networks of cells, tissues, and organs communicating and working in synchronization. It also has the ability to learn, recognize, and remember, thus providing the solid foundation for the development of Artificial Immune System (AIS). Since the emergence of AIS, it has proved itself as an area of computational intelligence. Real-Valued Negative Selection Algorithm with Variable-Sized Detectors (V-Detectors) is an offspring of AIS and demonstrated its potentials in the field of anomaly detection. The V-Detectors algorithm depends greatly on the random detectors generated in monitoring the status of a system. These randomly generated detectors suffer from not been able to adequately cover the non-self space, which diminishes the detection performance of the V-Detectors algorithm. This research therefore proposed CSDE-V-Detectors which entail the use of the hybridization of Cuckoo Search (CS) and Differential Evolution (DE) in optimizing the random detectors of the V-Detectors. The DE is integrated with CS at the population initialization by distributing the population linearly. This linear distribution gives the population a unique, stable, and progressive distribution process. Thus, each individual detector is characteristically different from the other detectors. CSDE capabilities of global search, and use of L´evy flight facilitates the effectiveness of the detector set in the search space. In comparison with V-Detectors, cuckoo search, differential evolution, support vector machine, artificial neural network, na¨ıve bayes, and k-NN, experimental results demonstrates that CSDE-V-Detectors outperforms other algorithms with an average detection rate of 95:30% on all the datasets. This signifies that CSDE-V-Detectors can efficiently attain highest detection rates and lowest false alarm rates for anomaly detection. Thus, the optimization of the randomly detectors of V-Detectors algorithm with CSDE is proficient and suitable for anomaly detection tasks

Information Technology Applications in Hospitality and Tourism: A Review of Publications from 2005 to 2007

The tourism and hospitality industries have widely adopted information technology (IT) to reduce costs, enhance operational efficiency, and most importantly to improve service quality and customer experience. This article offers a comprehensive review of articles that were published in 57 tourism and hospitality research journals from 2005 to 2007. Grouping the findings into the categories of consumers, technologies, and suppliers, the article sheds light on the evolution of IT applications in the tourism and hospitality industries. The article demonstrates that IT is increasingly becoming critical for the competitive operations of the tourism and hospitality organizations as well as for managing the distribution and marketing of organizations on a global scale

Sexually transmitted infection risk exposure among black and minority ethnic youth in northwest London: findings from a study translating a sexually transmitted infection risk-reduction intervention to the UK setting.

OBJECTIVES: Young black women are disproportionately affected by sexually transmitted infections (STI) in the UK, but effective interventions to address this are lacking. The Young Brent Project explored the nature and context of sexual risk-taking in young people to inform the translation of an effective clinic-based STI reduction intervention (Project SAFE) from the USA to the UK. METHODS: One-to-one in-depth interviews (n = 37) and group discussions (n = 10) were conducted among men and women aged 15-27 years from different ethnic backgrounds recruited from youth and genitourinary medicine clinic settings in Brent, London. The interviews explored the context within which STI-related risks were assessed, experienced and avoided, the skills needed to recognise risk and the barriers to behaviour change. RESULTS: Concurrent sexual partnerships, mismatched perceptions and expectations, and barriers to condom use contributed to STI risk exposure and difficulties in implementing risk-reduction strategies. Women attempted to achieve monogamy, but experienced complex and fluid sexual relationships. Low risk awareness, flawed partner risk assessments, negative perceptions of condoms and lack of control hindered condom use. Whereas men made conscious decisions, women experienced persuasion, deceit and difficulty in requesting condom use, particularly with older partners. CONCLUSIONS: Knowledge of STI and condom use skills is not enough to equip young people with the means to reduce STI risk. Interventions with young women need to place greater emphasis on: entering and maintaining healthy relationships; awareness of risks attached to different forms of concurrency and how concurrency arises; skills to redress power imbalances and building self-esteem