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The purpose of this study is to address problems associated with the accessibility of academic library databases.

This study evaluates 32 databases and measures their accessibility to users of adaptive technology.

Based on the results of this study, 72 percent of the evaluated databases were rated as marginally accessible or inaccessible, reflecting a low level of compliance to federal web accessibility legislation and international web accessibility standards. To measure database accessibility to adaptive technology users, this study operationalized accessibility into ten component parts as the Tatomir Accessibility Checklist (TAC) and tested each database on each component.

Findings of this study can be used both by those who purchase and manage databases in libraries to identify the most accessible databases and by designers of the databases to improve specific features.

A novel distributed middleware service platform, called MidGate platform, is presented in this paper. The central contribution is description of the developed MidGate platform and its architecture focusing especially on the adaptation, context‐awareness, and personalization of mobile and pervasive services. The research problem addressed is how to facilitate the development of interoperable applications and services into heterogeneous and distributed service gateway based environments. A requirement analysis of future mobile and pervasive services and key technologies has been carried out to establish a solid base and requirements for the development of the MidGate platform. The key mechanisms supporting adaptation, context‐awareness, and personalization of applications and services are presented. The novel middleware architecture solution of the MidGate platform utilizing these key mechanisms is also described. The MidGate architecture utilizes the emerging Generic Service Elements (GSE) approach, where generic and collectively utilizable services are provided to applications as middleware services that are part of a service platform. The main contribution of this research is the definition of a set of GSEs, the related MidGate platform architecture and its evaluation. The evaluation of the MidGate platform has been carried out in series of laboratory prototypes. The evaluation indicates that the MidGate platform solution is well applicable in various service gateway‐based distributed systems and extends well into resource‐constrained mobile environments.

To provide a selective bibliography in the emerging area of library content personalization for the benefit of library and information professionals.

A range of recently published works (in the period 1993–2004), which aim to provide pragmatic application of content personalization rather than theoretical works, are discussed and sorted into “classified” sections to help library professionals understand more about the various options for formulating content as per the specific needs of their clientele.

This paper provides information about each category of tool and technique of personalization, indicating what is achieved and how particular developments can help other libraries or professionals. It recognises that personalization of library resources is a viable way of helping users deal with the information explosion, conserving their time for more productive intellectual tasks. It identifies how computer and information technology has enabled document mapping to be more efficient, especially because of the ease with which a document can be indexed and represented with multiple terms, and confirms that this same functionality can be used to represent a user's interests, facilitating the easy linking of relevant sources to prospective users. Personalization of library resources is an effective way for maximizing user benefit.

This is not an exhaustive list of developments in personalization. Rather it identifies a mix of products and solutions that are of immediate use to librarians.

A very useful source of pragmatic applications of personalization so far, that can guide a practicing professional interested in creating similar solutions for more productive information support in his/her library.

This paper fulfils an identified need for a “review of technology” for LIS practitioners and offers practical help to any professional exploring solutions similar to those outlined in this paper.

Advances in adaptive computing technology provide opportunities for people with disabilities to access information and participate in society. But some networking tools, especially those based on graphical user interfaces, threaten to erode the accessibility of electronic resources. This paper offers a brief overview of adaptive technology for computers and networking and identifies a number of issues that must be addressed in order for people with disabilities to become full participants in online activities.

This paper aims to present a case study-based approach to identify resource-poor communities with limited abilities to cope with the adverse effects of climate change. The study area is the Nkonkobe Local Municipality, in the Eastern Cape which is one of South Africa’s provinces ranked as being extremely vulnerable to the adverse effects of climate change because of high incidences of poverty and limited access to public services such as water and education. Although adaptive capacity and vulnerability assessments help to guide policy formulation and implementation by identifying communities with low coping capacities, policy implementers often find it difficult to fully exploit the utility of these assessments because of difficulties in identifying vulnerable communities. The paper attempts to bridge this gap by providing a user-friendly, replicable, practically implementable and adaptable methodology that can be used to cost-effectively and timeously identify vulnerable communities with low coping capacities.

A geostatistical approach was used to assess and evaluate adaptive capacities of resource-poor communities in the Nkonkobe Local Municipality. The geospatial component of this approach consisted of a multi-step Geographical Information Systems (GIS) based technique that was improvised to map adaptive capacities of different communities. The statistical component used demographic indicators comprising literacy levels, income levels, population age profiles and access to water to run automated summation and ranking of indicator scores in ArcGIS 10.2 to produce maps that show spatial locations of communities with varying levels of adaptive capacities on a scale ranging from low, medium to high.

The analysis identified 14 villages with low adaptive capacities from a total of 180 villages in the Nkonkobe Local Municipality. This finding is important because it suggests that our methodology can be effectively used to objectively identify communities that are vulnerable to climate change.

The paper presents a tool that could be used for targeting assistance to climate change vulnerable communities. The methodology proposed is of general applicability in guiding public policy interventions aimed at reaching, protecting and uplifting socio-economically disadvantaged populations in both rural and urban settings.

The approach’s ability to identify vulnerable communities is useful because it aids the identification of resource-poor communities that deserve priority consideration when planning adaptation action plans to deliver support and assistance to those least capable of effectively coping with the adverse effects of climate change induced vulnerabilities.

Many libraries are using Internet access to improve patron services. In the United States, an estimated 21 percent of public libraries have some type of Internet connection, with libraries in urban areas (having a patron base over one million) connected at a rate of 75 percent. These libraries are taking different approaches to providing Internet and online services to their patrons. Some have connections from terminals located inside the library; others allow dial‐in access from patrons' offices or homes. As services grow in sophistication, so do patron interfaces. Many new computers sport full‐color, mouse‐driven graphic user interfaces (GUIs), which allow access to CD‐ROM products, World Wide Web sites, and other multimedia products.

The goal of this study was to explore the development of the first-of-its-kind mainstream adaptive apparel line for children through the collaboration of an adaptive apparel advocate and an apparel brand.

To achieve this goal, the study used the resource advantage (RA) and first-mover advantage theory to conduct a case study investigating the lived experiences of Mindy Scheier as she created the adaptive apparel movement and collaborated with Tommy Hilfiger® to launch the first-of-its-kind mainstream adaptive apparel line for children.

The result of the case study revealed two dominant themes: (1) “I am going to educate the entire industry” and (2) “You mean no mainstream brands have done this before?” Using RA theory and first-mover advantage theory, the themes illustrated the advocate's position as a key competitive resource, how she leveraged the key competitive resources with an apparel brand, and subsequently, how the brand, using the advocate as a key competitive resource, established a first-mover advantage in the adaptive apparel market to develop the first-of-its-kind mainstream adaptive apparel line for children in the marketplace.

This study demonstrated how RA theory could be applied to the partnership between an advocate and an apparel firm and how the key resources acquired and utilized by the advocate support a competitive advantage within the adaptive apparel marketplace.

The purpose of this paper is to provide adaptive access to learning resources in the digital library.

A novel method using ontology-based multi-attribute collaborative filtering is proposed. Digital libraries are those which are fully automated and all resources are in digital form and access to the information available is provided to a remote user as well as a conventional user electronically. To satisfy users' information needs, a humongous amount of newly created information is published electronically in digital libraries. While search applications are improving, it is still difficult for the majority of users to find relevant information. For better service, the framework should also be able to adapt queries to search domains and target learners.

This paper improves the accuracy and efficiency of predicting and recommending personalized learning resources in digital libraries. To facilitate a personalized digital learning environment, the authors propose a novel method using ontology-supported collaborative filtering (CF) recommendation system. The objective is to provide adaptive access to learning resources in the digital library. The proposed model is based on user-based CF which suggests learning resources for students based on their course registration, preferences for topics and digital libraries. Using ontological framework knowledge for semantic similarity and considering multiple attributes apart from learners' preferences for the learning resources improve the accuracy of the proposed model.

The results of this work majorly rely on the developed ontology. More experiments are to be conducted with other domain ontologies.

The proposed approach is integrated into Nucleus, a Learning Management System (https://nucleus.amcspsgtech.in). The results are of interest to learners, academicians, researchers and developers of digital libraries. This work also provides insights into the ontology for e-learning to improve personalized learning environments.

This paper computes learner similarity and learning resources similarity based on ontological knowledge, feedback and ratings on the learning resources. The predictions for the target learner are calculated and top N learning resources are generated by the recommendation engine using CF.

University distance learning is benefiting from the intensive use of Internet resources. The variety of information and services offered, together with different kinds of students, are impeding efficient use of this medium. In order to alleviate these problems and other associated ones, a Web site is being developed to facilitate personalised access to these resources. This site is based on three essential elements: new teaching materials to make the most of the medium, alternative teaching organisation adapted to the requirements of the different protagonists (students, lecturers and tutors) and an interactive system, WebDL, which facilitates personalised and adaptive access to information and communication requirements to each and every user at each and every moment. To date, the resources and material for three computer studies courses are being developed at Universidad Nacional de Educación a Distancia (UNED), whose delivery depends on the Artificial Intelligence Department.

The purpose of this paper is to contribute to the development of a new perspective on adaptive strategy design. It examines the concept of adaptive advantage, as such a new perspective, and seeks to improve its understanding and application. The study of its origins leads to a solid comprehension of the concept and the proposal of a certain company profile. This could serve as a foundation for further research and as benchmark for companies trying to be more responsive to change and ultimately more resilient.

Three theories of the area of adaptability, namely, organization ecology, corporate demography and complexity-based thinking, have been studied conducting a review of the relevant literature of each one. After drawing out the individual contributions, a definition of adaptive advantage is offered and the question about its implementation in an organization is posed. Consequently, indicators of the three elements impacting adaptability, innovation culture, decision-making style and accumulated experience are measured in a sample of “old” and innovative firms. In order to do so, three questionnaires have been used, resulting in a case description of an archetype of adaptive companies.

It is shown that the expected elements are present, but in a lesser degree than expected. In conclusion, the trial study shows a pattern of “old,” innovative firms, whose cultures promote innovation, are analytic and adaptive in their decision making and have relatively high levels of accumulated experience.

This general review improves the comprehension of a complex concept currently under debate in the field of strategic planning. It explains the areas of the firm implicated in the achievement of adaptive advantage and tries to clarify a practical application of the concept.