Increasing health worker capacity through distance learning: a comprehensive review of programmes in Tanzania

<p>Abstract</p> <p>Background</p> <p>Tanzania, like many developing countries, faces a crisis in human resources for health. The government has looked for ways to increase the number and skills of health workers, including using distance learning in their training. In 2008, the authors reviewed and assessed the country's current distance learning programmes for health care workers, as well as those in countries with similar human resource challenges, to determine the feasibility of distance learning to meet the need of an increased and more skilled health workforce.</p> <p>Methods</p> <p>Data were collected from 25 distance learning programmes at health training institutions, universities, and non-governmental organizations throughout the country from May to August 2008. Methods included internet research; desk review; telephone, email and mail-in surveys; on-site observations; interviews with programme managers, instructors, students, information technology specialists, preceptors, health care workers and Ministry of Health and Social Welfare representatives; and a focus group with national HIV/AIDS care and treatment organizations.</p> <p>Results</p> <p>Challenges include lack of guidelines for administrators, instructors and preceptors of distance learning programmes regarding roles and responsibilities; absence of competencies for clinical components of curricula; and technological constraints such as lack of access to computers and to the internet. Insufficient funding resulted in personnel shortages, lack of appropriate training for personnel, and lack of materials for students.</p> <p>Nonetheless, current and prospective students expressed overwhelming enthusiasm for scale-up of distance learning because of the unique financial and social benefits offered by these programs. Participants were retained as employees in their health care facilities, and remained in their communities and supported their families while advancing their careers. Space in health training institutions was freed up for new students entering in-residence pre-service training.</p> <p>Conclusions</p> <p>A blended print-based distance learning model is most feasible at the national level due to current resource and infrastructure constraints. With an increase in staffing; improvement of infrastructure, coordination and curricula; and decentralization to the zonal or district level, distance learning can be an effective method to increase both the skills and the numbers of qualified health care workers capable of meeting the health care needs of the Tanzanian population.</p

UNLV Information Science Research Institute quarterly progress report

This report presents research on information systems, information retrieval, and optical character recognition. (CBS

Analysis and and Character Character Recognition Recognition

We describe a computer database being developed at the University of Nevada, Las Vegas to support experiments in the recognition and analysis of information from printed documents. The history and economic significance of the database are discussed. It is a page-oriented database of mostly technical documents. Approximately 9300 pages are currently on-line. Methods of access are described. A set of software tools has been developed which automate much of the drudgery of performing experiments with optical character recognition (OCR) systems. UNLV plans to encourage each succeeding researcher to add value to the database. The authors believe that GT1 will become an increasingly valuable standard for evaluating systems and an important tool for research in document analysis. At the same time, the experimental tools described can be utilized to automate experiments with new ground-truth databases as they are added

OCR correction based on document level knowledge

For over 10 years, the Information Science Research Institute (ISRI) at UNLV has worked on problems associated with the electronic conversion of archival document collections. Such collections typically have a large fraction of poor quality images and present a special challenge to OCR systems. Frequently, because of the size of the collection, manual correction of the output is not affordable. Because the output text is used only to build the index for an information retrieval (IR) system, the accuracy of non-stopwords is the most important measure of output quality. For these reasons, ISRI has focused on using document level knowledge as the best means of providing automatic correction of nonstopwords in OCR output. In 1998, we developed the MANICURE [1] post-processing system that combined several document level corrections. Because of the high cost of obtaining accurate ground-truth text at the document level, we have never been able to quantify the accuracy improvement achievable using document level knowledge. In this report, we describe an experiment to measure the actual number (and percentage) of non-stopwords corrected by the MANICURE system. We believe this to be the first quantitative measure of OCR conversion improvement that is possible using document level knowledge

Improvement of biomethane production from sewage sludge in co-digestion with glycerol and waste frying oil, using a design of experiments

A central composite design circumscribed method was used to define the experimental conditions that improve the methane production rate (kCH4, liters of methane per kilogram of VS of waste added and per day) and the cumulative methane production (cMP, liters of methane per kilogram of VS of waste added) of the co-digestion of sewage sludge (SS) with crude glycerol (cGly) and waste frying oil (WFO). Three factors were selected, i.e., SS concentration, global co-substrate concentration, and mass fraction of cGly (xcGly) in a mixture of cGly and WFO (in chemical oxygen demand, COD). SS digestion without co-substrate reached a cMP of (294±6) L·kg1 and a kCH4 of (64±1) L·kg1·d1, at standard temperature and pressure conditions and expressed relatively to the initial volatile solids. After statistical analysis, SS and co-substrate concentrations of 4.6 g·L1 and 8.8 g·L1 (in COD), respectively, with xcGly of 0.8, were defined to simultaneously boost cMP (91 % more) and kCH4 (3-fold increase). Application of these conditions would yield 214 MWh more in electricity per 1000 m3 of SS digested.This study was supported by the Portuguese Foundation for Science and Technology (FCT) under the scope of Project RECI/BBB-EBI/0179/2012 (FCOMP-01-0124-FEDER027462), the strategic funding of UID/BIO/04469/2013 unit and COMPETE 2020 (POCI-01-0145-FEDER-006684), and BioTecNorte operation (NORTE-01-0145-FEDER-000004) funded by European Regional Development Fund under the scope of Norte2020—Programa OperacionalRegional doNorte. The authors also acknowledge the financial support of the FCT (ESF) through the grant given to J.V. Oliveira (SFRH/BD/111911/2015). Research of A.J. Cavaleiro was supported by the European Research Council under the European Union’s Seventh Framework Programme (FP/2007-2013)/ERC Grant Agreement No. 323009.info:eu-repo/semantics/publishedVersio