Miracle-dz/UniFAR-FTUs huggingface dataset:
The influence of place attachment on the relationship between destination attractiveness and environmentally responsible behavior for island tourism in Penghu, Taiwan

This study examines the causal relationships between place attachment, destination attractiveness and environmentally responsible behavior (ERB), and the mediating effect of place attachment. Four hundred and thirteen tourists were surveyed who had visited the Penghu islands, Taiwan. Structural Equation Modeling was used to determine the relationships among the variables and the mediating effects. Results show that the emotions and feelings (place attachment), which tourists have for Penghu, are positively associated with stronger ERB; the extent of attractiveness of island tourism as perceived by tourists is also positively associated with stronger ERB. A higher level of tourists’ destination attractiveness in regard to island tourism is associated with stronger place attachment; place attachment was found to exert a significant effect in mediating the relationship between destination attractiveness and ERB. The study shows that when island tourists are attracted by and are attached to the destination, they are more likely to exhibit ERB. The study pioneers the integration of all three factors in a sustainable tourism behavior model designed for tourists who stay one night or more at a destination, and tests the hypotheses for the first time in an Asian destination. Management implications and recommendations for the sustainable development of Penghu islands tourism are provided.
Organizational Learning Within A Learning Classifier System

This thesis recasts the debate between Michigan-style and Pitt-style classi er systems to a debate on appropriately sizing organizations within a learning classi er system. Motivated by the economic study of transaction costs, an organizational classi er system (OCS) combining explicit use of multiple reputation values and organization sizing operators better distinguishes parasitic (less than optimal) classi ers than a simple classi er system (SCS). The results show that by building a system that autonomously adjusts the degree of individual to collective behavior, it is possible for it to be both e cient and resilient to problem di culty. iii Acknowledgments I thank my parents, although no amount of thanks could su ciently repay their unfailing love and support. I thank Dr. David Goldberg, my adviser, for his input, support, and creative ideas. I thank Kevin Carmody and Je rey Horn for their friendship and support. I thank Rebecca Robinson for taking care of things while I worked on this thesis. Support for this work was provided by the U.S. Air Force O ce of Scienti c Research under Grant No. F49620-94-1-0103 and from the National Aeronautics and Space Administration with Grant No. NGT-50873. iv Table of
Proposing a method based on Ants algorithm for optimizing energy consumption and routing in wireless sensor networks

The most important issue in wireless sensor networks is intense limitation of energy. Since efficiency of these networks depends on network life time and the network coverage, applying saving energy algorithms in designing sensor networks with long life time is an important issue. Wireless sensor networks have been created based on harmony in a lot of sensor nodes. To reduce energy consumption in nodes, one can use unequal clustering mechanism. To face clustering overflow in this paper, we use Ants Colony Optimization method to create multi-jump Energy-efficiency paths. Offered protocol has been compared with two touchstone protocols. The simulation results show that the offered protocol is much more efficient than two other protocols in saving energy and it also increases the longevity of network
Talking About Training. Literacy and Numeracy Training Practices in Industry: A Comparative Study across Five Industries.

A study examined educational and pedagogical strategies industry trainers use for trainee learning and their methods of delivery, focusing on pedagogical practices using literacy and numeracy competencies in implementing training on the work site. It drew on case studies from five vocational education and training sites, looking at the industry, training for the industry onsite, and training issues espoused by trainers. Findings indicated trainers responding to the National Training Framework reported on the strength of training industry sites; engagement with the Australian Quality Training Framework enabled understanding Training Packages and their use as a framework for delivery, assessment, and accreditation of industry training; Key Competencies must be revisited as critical underpinning skills for industry training; workplace trainers valued their ability to network with professional colleagues and industry partners to enhance delivery of quality training; professional development opportunities were necessary in delivery of quality training; literacy and numeracy skills enabled the teaching and learning process in the workplace; higher order literacy skills were important in a climate of lifelong learning; and language's central role in industry training had pedagogic implications for training workplace trainers. Three key themes emerged to address to meet education and training needs of workplace trainers: balance industry-based training (location) with productivity constraints (time) and professional development (knowledge practices) opportunities. (36 references) (YLB) Reproductions supplied by EDRS are the best that can be made from the original document. 1 Talking about training. Literacy and numeracy training practices in industry: a comparative study across five industries.
Delay-dependent fuzzy controller design for stabilization of nonlinear systems with multiple non-commensurate time delays

In this paper, the T-S fuzzy model approach is extended to design fuzzy controllers for the stabilizability of nonlinear systems with multiple non-commensurate time delays. Three types of fuzzy controllers are state feedback, observer-based state feedback, and output feedback fuzzy controller with time delay information. Based on the concept of the parallel distributed compensation (PDC) and the delay-dependent Lyapunov functional approach, some control design methods are proposed to stabilize the whole fuzzy time-delay system asymptotically. These design approaches are all dependent on time delays. By Schur complement, these sufficient conditions can be easily transformed into the problem of LMI's. The practical example based on the CSTR (continuous stirred tank reactor) model is given to illustrate the control designs and their effectiveness.
The grand game of metazoan phylogeny: rules and strategies

Many cladistic analyses of animal phylogeny have been published by authors arguing that their results are well supported. Comparison of these analyses indicates that there can be as yet no general consensus about the evolution of the animal phyla. We show that the various cladistic studies published to date differ significantly in methods of character selection, character coding, scoring and weighting, ground‐pattern reconstructions, and taxa selection. These methodological differences are seldom made explicit, which hinders comparison of different studies and makes it impossible to assess a particular phylogeny outside its own scope. The effects of these methodological differences must be considered before we can hope to reach a morphological reference framework needed for effective comparison and combination with the evidence obtained from molecular and developmental genetic studies.
Older Adults, Health Information, and the World Wide Web

From the Publisher: Older Adults, Health Information, and the World Wide Web focuses on how age-related changes in vision, cognitive function, and motor skills impact on the delivery and comprehension of Web-based health information, and how the Web may be a viable initial or supplementary source for the delivery of this critical information. Applying knowledge and theoretical frameworks from research in aging, cognition, and human factors design, the book proposes a set of guidelines that may be implemented in order to increase accessibility to health information by older adults and their caregivers on the Web. This book is intended for researchers in aging and cognition, human factors and aging, and health education. It is also appropriate for health care providers, web designers, and anyone who provides care for older adults.
Nursing Student Retention: Understanding the Process and Making a Difference

This is the only book to offer an evidence-based model for retaining students and ensuring success across the nursing education spectrum. It is designed to assist faculty in creating, implementing, and evaluating student retention and academic success strategies. This model, Nursing Undergraduate Retention and Success (NURS), can be used effectively with all kinds of nursing programs, both traditional and nontraditional, including diploma, ADN, RN-BS, and accelerated BS. The book features the "Nursing Student Retention Toolkit," an easy-to-use digital toolkit for assessment and planning that is thoroughly cross-referenced and integrated into the text. Together, these complementary resources offer a wide selection of educational activities and support strategies for diverse learners and settings. The text provides guidelines for maximizing educational strengths, identifying and assessing at-risk students, facilitating student retention, and revitalizing teaching methods. It examines the multidimensional factors that must be considered, including cultural values and beliefs, and describes proven strategies for promoting retention and academic success such as faculty advisement, promoting professional events and membership, peer partnerships, and enrichment programs. "Nursing Student Retention," with its breadth of information and one-of-a-kind digital toolkit, will be of great value to nurse educators, administrators, and graduate students. This new edition features: An easy-to-use format that includes the "Nursing Student Retention Toolkit, "a digital adjunct containing assessment tools, and templates for designing, implementing, and evaluating retention strategies Chapters updated to provide a wealth of new information and evidence-based strategies Real-life scenarios featuring diverse learners and settings Vignettes to synthesize and demonstrate application of learning
Multichannel time-slot permuters

We consider the general switching problem known as time-space-time domain permutations in telecommunications. We present a new set of multichannel time slot permuters for L parallel frames of M time slots (L equals 2l, M equals 2m). The multichannel time slot permuters are obtained by combining L X L spatial networks and time slot permuters for a frame of M time slots. In this paper, the Benes network, the Batcher sorter and the Lambda network for spatial networks, and their counterparts, the RJS time slot permuter, the S time slot sorter, and the Lambda time slot permuter are considered.
A new method for invariant hand-written digit recognition using neural networks

Neural networks have been previously used to solve invariant pattern classification problems. Several solutions can be used. The first one consists of a pure neural solution. The neural network learns by itself the pre-processing required and extracts local information. This method gives good results but is very difficult to tune because it needs many parameters which are gray level of image pixels for the present application. The second one consists of extracting invariant features by using analytical methods. This solution also gives good classification and improves computing time. However, the efficiency depends on the type of the used descriptors such as contour features, cavity parameters and so on. We propose here a solution based on the second approach where two types of features are used in the step of information extraction. These features are fed to a neural network which is used for partitioning the space in regions corresponding to classes, and consequently for realising the classification step in a pattern recognition system independent of certain geometric transformations of the space.
Occupational Therapy Defined as a Complex Intervention: A 5-Year Review

This paper describes the review of the impact of the College of Occupational Therapists' publication, Occupational therapy defined as a complex intervention (Creek 2003). The background to the publication is outlined briefly. The method of data collection and the descriptive-explanatory method of data analysis are described. The three main findings are presented: occupational therapists have continued to access the definition throughout the 5 years since it was published; the definition has been read and used both in the United Kingdom and in other countries; and the definition is understood and used in a variety of different ways and for different purposes. The paper concludes that the definition of occupational therapy as a complex intervention captured a major shift in how occupational therapists understand the world, but that this way of thinking needs to be embedded more fully into all pre-registration and post-registration education programmes.
AIDS and Trauma: Adults, Children and Orphans

Though HIV/AIDS has become more of a chronically-managed illness in the most well-off of places, it is still a devastating disease that spreads rapidly and silently. Biomedical and behavioral research conducted over the last 25 years has taught us a tremendous amount about HIV: the people it infects, the way it infects and the damage it reaps. While some of this research is headline news, particularly those discoveries that lead us closer to a vaccine or other biomedical prophylaxis like microbicides, and to a lesser extent behavioral research that teaches us about effective prevention efforts, what are infrequently discussed but are no less important are the very substantial effects that trauma has on those infected and affected by HIV. We have found that there are higher rates of past and current trauma in adults infected by HIV than in the general population and subsequently these adults often have higher rates of substance abuse and other high risk activities. In children orphaned and otherwise affected by AIDS, we see they suffer not just the loss of a parent, but also significant emotional wounds that require specific treatments to heal. HIV is more than a virus; it is a disease that exploits already present vulnerabilities like poverty and goes on to wreak havoc on all levels of society. In this chapter, we will talk about trauma and its relationship to HIV in both adults and children. We will use fictitious case studies starting in childhood and moving through adulthood to explicate the complicated life stories, specifically the significant role trauma plays in the lives of people who are affected by HIV.
The Structure of Long-term Memory: A Connectivity Model of Semantic Processing

Contents: Preface. Introduction. The Representational Problem: A Historical Perspective. Traditional Theories of Forgetting. The Failure of Traditional Forgetting Theories: Misleading Representational Assumptions. STM Codes: Their Structure and Decay. Network Theories: Basic Assumptions on the Structure of LTM. Strictly and Nonstrictly Hierarchical Models of Fact Retrieval. Strictly and Nonstrictly Hierarchical Models of Word Meaning. The Connectivity Model. A Connectivity Model for Semantic Processing. The Simulation Program CONN1. Representational Assumptions and Their Possible Neural Bases. Concluding Remarks.
The Cambridge Grammar of the English Language

The Cambridge Grammar of the English Language is a comprehensive descriptive grammar of English designed to be accessible to the general reader. Part of the declared goal is to produce a grammar that “incorporates insights from the theoretical literature but presents them in a way that is accessible to readers without formal training in linguistics. ” Although the grammar is styled as “descriptive” and eschews complex notation, it is clearly the product of authors for whom formal and theoretical issues and arguments are of significant interest and concern. The challenge to which the authors have risen is to present complex materials in a largely nontechnical manner and to do so without sacrificing precision and clarity. In this they have largely succeeded. The dedicated general reader should be able to glean from the book not only a great deal of detailed knowledge about the way in which English works, but also a sense of how the grammar is organized and an implicit understanding of some of the ways in which formal linguists have learned to make and sustain arguments. But although the influence of formalist approaches is evident, there is also an obvious love for and enjoyment of the language itself. For computational linguists, the grammar may also evoke the strong impression that its authors are implicitly operating with a covert but precise set of assumptions about the formal mechanisms that underlie the grammar, and some may be drawn to the project of making these assumptions explicit, perhaps by using the book as the basis for a large-scale computational grammar, very likely one in the tradition of Pullum’s earlier work (Gazdar et al. 1985). Such a project, although very worthwhile, would probably be too long-term for most of us, so we now turn to other ways in which the availability of the grammar may enhance the practice of computational linguistics. One obvious role is as a guide to English grammar for people who build grammatical artifacts. Such artifacts include not only large-scale computational grammars (Grover, Carroll, and Briscoe 1993; Copestake and Flickinger 2000) but also treebanks (Marcus, Santorini, and Marcinkiewicz 1994). It is idle to speculate on whether the Penn Treebank or the Alvey Natural Language Tools would have been significantly different if the Cambridge Grammar had been around to influence them, but it should become a routine part of the training of future grammar writers and treebank annotators that they absorb as much as is feasible of this grammar. This will not be too onerous: Few annotation manuals are as enjoyable to read as this grammar.
Systematic Cooperation in P2P Grids

P2P Grid computing seeks the convergence of Grid and P2P technologies. Deploying a P2P Grid middleware on a set of computers enables an organization to automatically barter computing time with other Internet-connected organizations. Such P2P exchanges of computing time enable individual Peers, i.e. organizations, to transparently aggregate large amounts of computational power with minimal infrastructure requirements or administrative cost. Challenges arise from the requirement for scalability and robustness. Individual worker nodes are unreliable, as P2P Grids operate on unmanaged desktop computers. A specificity of P2P Grids is that each Peer can reclaim at any time the computational power of worker nodes supplied to other Peers, leading to bursts of execution preemption. These are the major contributions of our dissertation: • Firstly, we propose a new P2P Grid architecture, the Lightweight Bartering Grid (LBG). Through systematic cooperation between Grid nodes, the reliability of execution of computational requests is greater than the sum of the reliabilities of worker nodes. • Secondly, we propose a highly scalable data transfer architecture. It is based both on the BitTorrent P2P file sharing protocol and on the removal of the temporal cost of downloading redundant copies of input data files. • Thirdly, besides a middleware implementation of LBG, we also provide an implementation of a discrete-event simulator. Its originality resides in the weaving of the simulator code into the bartering code of the middleware, which is made possible through the virtualization of Grid nodes. This enables reproducible testing and accurate performance evaluation of the bartering policies because the Peers of a simulated Grid make the same bartering decisions as Peers deployed on real computers. The LBG architecture exhibits the following remarkable features: • The scheduling model supports the queueing of external requests and the architecture enables a flexible study of bartering policies. • The architecture is open, flexible, lightweight and facilitates software engineering. It enables the easy development, testing, evaluation and deployment of combinations of scheduling policies. • The architecture is fully P2P.
THERM 5 / WINDOW 5 NFRC simulation manual

This document, the ''THERM 5/WINDOW 5 NFRC Simulation Manual', discusses how to use the THERM and WINDOW programs to model products for NFRC certified simulations and assumes that the user is already familiar with those programs. In order to learn how to use these programs, it is necessary to become familiar with the material in both the ''THERM User's Manual'' and the ''WINDOW User's Manual''. In general, this manual references the User's Manuals rather than repeating the information. If there is a conflict between either of the User Manual and this ''THERM 5/''WINDOW 5 NFRC Simulation Manual'', the ''THERM 5/WINDOW 5 NFRC Simulation Manual'' takes precedence. In addition, if this manual is in conflict with any NFRC standards, the standards take precedence. For example, if samples in this manual do not follow the current taping and testing NFRC standards, the standards not the samples in this manual, take precedence.
Real-time surface reconstruction through HRBF networks

A procedure for 3D surface reconstruction from range data in strict real-time is presented. The process is based on a connectionist model, the hierarchical radial basis function (HRBF) network, which has been proved to be effective in the reconstruction of smooth, space varying surfaces. An efficient data structure and locality assumptions allowed the derivation of a faster configuration algorithm, without degrading the approximation capabilities. Results show that computing time scales linearly with the number of neurons, and is comparable with the data acquisition time of most commercial scanners so that reconstruction can be performed in real time.
Rasont - a traditional crude drug prepared from Berberis sp. and its uses.

DC. The collected roots are chopped into small pieces and boiled in water in an aluminum vessel under low heat for 5–6 hrs (Figs.1&2). While boiling, care should be taken to boil the extract over low heat with continuous stirring to avoid burning of the extract. The watery extract is constantly stirred until the extract has a syrupy consistency (Fig. 3). Then, the extract is filtered to remove the root samples and the impurities, and the extract is boiled again for an hour and cooled in the open air. After cooling, the extract becomes semi-solid and is called
The Computer Artist's Handbook: Concepts, Techniques, and Applications

This book sets out to provide an accessible guide to the computer and art. With analogies to traditional art forms and an array of illustrations in colour and black-and-white, this book offers a conceptual and hands-on approach that can be used with any computer, from the home PC to an elaborate graphics workstation, including drawing, animation, sculpture, special effects, film and video, and ways the computer can enhance our understanding and appreciation of great works of art. Exploring the full range of the computer's potential as a tool for art, it demonstrates that, while a computer cannot make art without an artist, it can help develop the artist in all of us.