Voice Operated Information System in Slovak

Speech communication interfaces (SCI) are nowadays widely used in several domains. Automated spoken language human-computer interaction can replace human-human interaction if needed. Automatic speech recognition (ASR), a key technology of SCI, has been extensively studied during the past few decades. Most of present systems are based on statistical modeling, both at the acoustic and linguistic levels. Increased attention has been paid to speech recognition in adverse conditions recently, since noise-resistance has become one of the major bottlenecks for practical use of speech recognizers. Although many techniques have been developed, many challenges still have to be overcome before the ultimate goal -- creating machines capable of communicating with humans naturally -- can be achieved. In this paper we describe the research and development of the first Slovak spoken language dialogue system. The dialogue system is based on the DARPA Communicator architecture. The proposed system consists of the Galaxy hub and telephony, automatic speech recognition, text-to-speech, backend, transport and VoiceXML dialogue management modules. The SCI enables multi-user interaction in the Slovak language. Functionality of the SLDS is demonstrated and tested via two pilot applications, ``Weather forecast for Slovakia'' and ``Timetable of Slovak Railways''. The required information is retrieved from Internet resources in multi-user mode through PSTN, ISDN, GSM and/or VoIP network

An Economic Analysis of Domain Name Policy

One of the most important features of the architecture of the Internet is the Domain Name System (DNS), which is administered by the Internet Corporation for Assigned Names and Numbers (ICANN). Logically, the DNS is organized into Top Level Domains (such as .com), Second Level Domains (such as amazon.com), and third, fourth, and higher level domains (such as www.amazon.com). The physically infrastructure of the DNS consists of name servers, including the Root Server System which provides the information that directs name queries for each Top Level Domain to the appropriate server. ICANN is responsible for the allocation of the root and the creation or reallocation of Top Level Domains. The Root Server System and associated name space are scarce resources in the economic sense. The root servers have a finite capacity and expansion of the system is costly. The name space is scarce, because each string (or set of characters) can only be allocated to one Registry (or operator of a Top Level Domain). In addition, name service is not a public good in the economic sense, because it is possible to exclude strings from the DNS and because the allocation of a string to one firm results in the inability of other firms to use that name string. From the economic perspective, therefore, the question arises: what is the most efficient method for allocating the root resource? There are only five basic options available for allocation of the root. (1) a static root, equivalent to a decision to waste the currently unallocated capacity; (2) public interest hearings (or beauty contests); (3) lotteries; (4) a queuing mechanism; or (5) an auction. The fundamental economic question about the Domain Name System is which of these provides the most efficient mechanism for allocating the root resource? This resource allocation problem is analogous to problems raised in the telecommunications sector, where the Federal Communications Commission has a long history of attempting to allocate broadcast spectrum and the telephone number space. This experience reveals that a case-by-case allocation on the basis of ad hoc judgments about the public interest is doomed to failure, and that auctions (as opposed to lotteries or queues) provide the best mechanism for insuring that such public-trust resources find their highest and best use. Based on the telecommunications experience, the best method for ICANN to allocate new Top Level Domains would be to conduct an auction. Many auction designs are possible. One proposal is to auction a fixed number of new Top Level Domain slots each year. This proposal would both expand the root resource at a reasonable pace and insure that the slots went to their highest and best use. Public interest Top Level Domains could be allocated by another mechanism such as a lottery and their costs to ICANN could be subsidized by the proceeds of the auction

Leveraging data for student success

People providing services to schools, teachers, and students want to know whether these services are effective. With that knowledge, a project director can expand services that work well and adjust implementation of activities that are not working as expected. When finding that an innovative strategy benefits students, a project director might want to share that information with other service providers who could build upon that strategy. Some organizations that fund programs for students will want a report demonstrating the program’s success. Determining whether a program is effective requires expertise in data collection, study design, and analysis. Not all project directors have this expertise—they tend to be primarily focused on working with schools, teachers, and students to undertake program activities. Collecting and obtaining student-level data may not be a routine part of the program. This book provides an overview of the process for evaluating a program. It is not a detailed methodological text but focuses on awareness of the process. What do program directors need to know about data and data analysis to plan an evaluation or to communicate with an evaluator? Examples focus on supporting college and career readiness programs. Readers can apply these processes to other studies that include a data collection component.Publishe

The parts are greater than the sum of the whole. Exploring the Process of Change in a Pain Management Programme using Single Case Study Design

This three-part thesis reviews the effectiveness of psychological interventions for chronic non-cancer pain on healthcare use and sick leave from work, and explores the process of change in a pain management programme using single case methods. Part 1 is a meta-analysis of 16 randomised controlled trials of psychological interventions in a chronic pain population. Small to moderate effect sizes were found for reduced healthcare use but no significant benefit for sick leave. Part 2 is a study using single case design methodology to explore trajectories of change in 8 patients attending a CBT-based chronic pain management programme. Baseline, intervention and bi-weekly follow-up self-report of catastrophic thinking, mood, self-efficacy, and goal attainment, and of process variables of working alliance and adherence, were supplemented by a post treatment change telephone interview which was qualitatively analysed. Detailed examination of change for each participant provided rich data: three participants improved significantly over the course of the programme, three deteriorated, and all improved in at least one goal. Therapeutic alliance was high and participants rated central elements of the programme, explanations of their pain, and peer support/group membership as important. Part 3 is a critical appraisal of the study and the review, contrasting the approaches, and concluding with a personal reflection on the process

The perceptions of occupational performance priorities for adolescents with learning difficulties

A research report submitted to the Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, in partial fulfilment of the requirements for the degree of Master of Science in Occupational Therapy Johannesburg, 2017Occupational therapy for adolescents with learning difficulties (LDs) is still a relatively undeveloped area of practice in contrast to paediatric services for younger populations. The purpose of the study was to explore the perceptions of adolescents with learning difficulties and their parents regarding their most important current and future occupational performance priorities (OPPs), current occupational difficulties as well as intervention and supports that have been helpful thus far. A descriptive, explorative, qualitative study design was utilised. Eighteen adolescents aged 13 – 21 years with LD and nine parents were interviewed or included in a focus group. Data was inductively coded and analysed, identifying three main themes. The main needs in terms of OPPs included understanding the adolescent perspective and developmental needs, occupational needs and preparing for the future. Occupational difficulties included developmentally-related difficulties, occupational difficulties and intervention-related difficulties. Current and previous effective support and interventions as reported by the participants entailed support and mentoring, direct interventions and the promotion of self-determination. Recommendations for implementing occupation-based practice for this population are made.GR201

Leveraging data for student success: Improving education through data-driven decisions

People providing services to schools, teachers, and students want to know whether these services are effective. With that knowledge, a project director can expand services that work well and adjust implementation of activities that are not working as expected. When finding that an innovative strategy benefits students, a project director might want to share that information with other service providers who could build upon that strategy. Some organizations that fund programs for students will want a report demonstrating the program’s success. Determining whether a program is effective requires expertise in data collection, study design, and analysis. Not all project directors have this expertise—they tend to be primarily focused on working with schools, teachers, and students to undertake program activities. Collecting and obtaining student-level data may not be a routine part of the program. This book provides an overview of the process for evaluating a program. It is not a detailed methodological text but focuses on awareness of the process. What do program directors need to know about data and data analysis to plan an evaluation or to communicate with an evaluator? Examples focus on supporting college and career readiness programs. Readers can apply these processes to other studies that include a data collection component