947 resultados para 005 Computer programming, programs


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Performance & Development Solutions (PDS) publishes a variety of newsletters that include some great information about our programs and services. Some of the topics you may find include: Upcoming Seminars Current events or news related to training Recognition of achievements How-to section

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In the 2006 Iowa General Assembly, House File 2797 called for a study on the status of afterschool arts programs and appropriated $5,000 for the study. In accordance with the legislation, the Iowa Arts Council, who received the charge, contracted with the Iowa Afterschool Alliance to form a Resource Group of out-of-school arts providers and experts to develop and oversee the study, review its results, and make recommendations for the expansion of arts programs that operate outside the normal school day. As a part of its charge in HF 2797, the Iowa Arts Council also documented a sampling of out-of-school arts programs statewide. Five are featured in this report.

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Beginning in 2006, the Iowa Department of Corrections embarked on a systematic offender program audit at each of the stateâs institutions and community-based corrections agencies, the purpose of which was to determine each programâs effectiveness as supported by results and research (evidence-based practices). Those programs demonstrating success were maintained, and all others either modified to comply with evidence-based practices or replaced by programming that did.

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In 2008, the Iowa Department of Corrections embarked on a comprehensive audit of all institutional andcommunity corrections offender programs that receive corrections funding. The audit focused on the degree towhich each program adheres to evidence-based practices principles (what works best). The audit areas are listedbelow along with some examples of the questions asked about each program:

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Underbody plows can be very useful tools in winter maintenance, especially when compacted snow or hard ice must be removed from the roadway. By the application of significant down-force, and the use of an appropriate cutting edge angle, compacted snow and ice can be removed very effectively by such plows, with much greater efficiency than any other tool under those circumstances. However, the successful operation of an underbody plow requires considerable skill. If too little down pressure is applied to the plow, then it will not cut the ice or compacted snow. However, if too much force is applied, then either the cutting edge may gouge the road surface, causing significant damage often to both the road surface and the plow, or the plow may ride up on the cutting edge so that it is no longer controllable by the operator. Spinning of the truck in such situations is easily accomplished. Further, excessive down force will result in rapid wear of the cutting edge. Given this need for a high level of operator skill, the operation of an underbody plow is a candidate for automation. In order to successfully automate the operation of an underbody plow, a control system must be developed that follows a set of rules that represent appropriate operation of such a plow. These rules have been developed, based upon earlier work in which operational underbody plows were instrumented to determine the loading upon them (both vertical and horizontal) and the angle at which the blade was operating.These rules have been successfully coded into two different computer programs, both using the MatLab® software. In the first program, various load and angle inputs are analyzed to determine when, whether, and how they violate the rules of operation. This program is essentially deterministic in nature. In the second program, the Simulink® package in the MatLab® software system was used to implement these rules using fuzzy logic. Fuzzy logic essentially replaces a fixed and constant rule with one that varies in such a way as to improve operational control. The development of the fuzzy logic in this simulation was achieved simply by using appropriate routines in the computer software, rather than being developed directly. The results of the computer testing and simulation indicate that a fully automated, computer controlled underbody plow is indeed possible. The issue of whether the next steps toward full automation should be taken (and by whom) has also been considered, and the possibility of some sort of joint venture between a Department of Transportation and a vendor has been suggested.

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Introduction: Therapeutic drug monitoring (TDM) aims at optimizing treatment by individualizing dosage regimen based on measurement of blood concentrations. Maintaining concentrations within a target range requires pharmacokinetic and clinical capabilities. Bayesian calculation represents a gold standard in TDM approach but requires computing assistance. In the last decades computer programs have been developed to assist clinicians in this assignment. The aim of this benchmarking was to assess and compare computer tools designed to support TDM clinical activities.¦Method: Literature and Internet search was performed to identify software. All programs were tested on common personal computer. Each program was scored against a standardized grid covering pharmacokinetic relevance, user-friendliness, computing aspects, interfacing, and storage. A weighting factor was applied to each criterion of the grid to consider its relative importance. To assess the robustness of the software, six representative clinical vignettes were also processed through all of them.¦Results: 12 software tools were identified, tested and ranked. It represents a comprehensive review of the available software's characteristics. Numbers of drugs handled vary widely and 8 programs offer the ability to the user to add its own drug model. 10 computer programs are able to compute Bayesian dosage adaptation based on a blood concentration (a posteriori adjustment) while 9 are also able to suggest a priori dosage regimen (prior to any blood concentration measurement), based on individual patient covariates, such as age, gender, weight. Among those applying Bayesian analysis, one uses the non-parametric approach. The top 2 software emerging from this benchmark are MwPharm and TCIWorks. Other programs evaluated have also a good potential but are less sophisticated (e.g. in terms of storage or report generation) or less user-friendly.¦Conclusion: Whereas 2 integrated programs are at the top of the ranked listed, such complex tools would possibly not fit all institutions, and each software tool must be regarded with respect to individual needs of hospitals or clinicians. Interest in computing tool to support therapeutic monitoring is still growing. Although developers put efforts into it the last years, there is still room for improvement, especially in terms of institutional information system interfacing, user-friendliness, capacity of data storage and report generation.

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Objectives: Therapeutic drug monitoring (TDM) aims at optimizing treatment by individualizing dosage regimen based on blood concentrations measurement. Maintaining concentrations within a target range requires pharmacokinetic (PK) and clinical capabilities. Bayesian calculation represents a gold standard in TDM approach but requires computing assistance. The aim of this benchmarking was to assess and compare computer tools designed to support TDM clinical activities.¦Methods: Literature and Internet were searched to identify software. Each program was scored against a standardized grid covering pharmacokinetic relevance, user-friendliness, computing aspects, interfacing, and storage. A weighting factor was applied to each criterion of the grid to consider its relative importance. To assess the robustness of the software, six representative clinical vignettes were also processed through all of them.¦Results: 12 software tools were identified, tested and ranked. It represents a comprehensive review of the available software characteristics. Numbers of drugs handled vary from 2 to more than 180, and integration of different population types is available for some programs. Nevertheless, 8 programs offer the ability to add new drug models based on population PK data. 10 computer tools incorporate Bayesian computation to predict dosage regimen (individual parameters are calculated based on population PK models). All of them are able to compute Bayesian a posteriori dosage adaptation based on a blood concentration while 9 are also able to suggest a priori dosage regimen, only based on individual patient covariates. Among those applying Bayesian analysis, MM-USC*PACK uses a non-parametric approach. The top 2 programs emerging from this benchmark are MwPharm and TCIWorks. Others programs evaluated have also a good potential but are less sophisticated or less user-friendly.¦Conclusions: Whereas 2 software packages are ranked at the top of the list, such complex tools would possibly not fit all institutions, and each program must be regarded with respect to individual needs of hospitals or clinicians. Programs should be easy and fast for routine activities, including for non-experienced users. Although interest in TDM tools is growing and efforts were put into it in the last years, there is still room for improvement, especially in terms of institutional information system interfacing, user-friendliness, capability of data storage and automated report generation.

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This appendix is divided into three sections. The first section contains abstracts of each of the eight computer programs in the system, instructions for keypunching the three input documents, and computer operating instructions pertaining to each program. The second section contains system flowcharts for the entire system as well as program flowcharts for each program. The last section contains PL/l program listings of each program.

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The Iowa Department of Public Health (IDPH) Office of Womenâs Health has compiled an inventory of IDPH programs that address the unique health care needs of women. Twenty-four programs incorporate womenâs health services into their public health programming. The following summaries provide an overview of current programs.

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A computer program to adjust roadway profiles has been developed to serve as an aid to the county engineers of the State of Iowa. Many hours are spent reducing field notes and calculating adjusted roadway profiles to prepare an existing roadway for paving that will produce a high quality ride and be as maintenance free as possible. Since the computer is very well adapted to performing long tedious tasks; programming this work for a computer would result in freeing the engineer of these tasks. Freed from manual calculations, the engineer is able to spend more time in solving engineering problems. The type of roadway that this computer program is designed to adjust is a road that at sometime. in its history was graded to a finished subgrade. After a period of time, this road is to receive a finished paved surface. The problem then arises whether to bring the existing roadway up to the de signed grade or to make profile adjustments and comprise between the existing and the design profiles. In order to achieve the latter condition using this program, the engineer needs to give the computer only a minimum amount of information.

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Ohjelmointitaito on asia, jonka oppimisesta ja opettamisesta voidaan olla montaa mieltä, eikä yhtä oikeaa tapaa toteuttaa ohjelmoinnin opetusta tunnu olevan olemassa. Se on kuitenkin selvää, että jotkin menetelmät ja tyÃkalut tuntuvat olevan parempia kuin toiset. Lukuvuoden 2005-2006 päätteeksi Lappeenrannan teknillinen yliopisto päätti päivittää ohjelmoinnin perusopetusta, ja kokeili siirtymistä Python-ohjelmointikieleen ohjelmoinnin alkeiskursseilla. Koska kurssin varsinaiset muutokset keskittyivät tekniseen infrastruktuuriin, tutustuttiin alustavassa kirjallisuustutkimuksessa ensin erilaisiin lähestymistapoihin,aiempiin tapauksiin sekä mielekkäiden tyÃkalujen lÃytämiseen. Tässä diplomityÃssä perehdytään ohjelmoinnin opetuksen tyÃkaluihin sekä erityisesti Python-ohjelmointikielen hyÃdyntämiseen ohjelmoinnin perusopetuksessa. Diplomityà esittelee useita lähestymistapoja sekä keskittyy tutkimaan Pythonin soveltuvuutta alkeisopetuksen käyttÃtarkoituksiin. Diplomityà tutustuu myÃs Lappeenrannassa järjestetyn ohjelmoinnin perusteiden kurssin tuloksiin, ja analysoi sitä, pystyikà Python-pohjainen kurssi toteuttamaan teknisen yliopiston sille asettamat vaatimukset. Lopuksi aineistosta analysoidaan jatkotutkimuksen tarpeita sekä pyritään lÃytämään ne osa-alueet, joita näissä jatkotutkimuksissa tulisi vielä kehittää.

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DiplomityÃn tarkoituksena on kehittää tietokoneohjelma putkilämmÃnsiirtimen vaippapuolen painehäviÃn laskemiseksi. Ohjelmalla voidaan varmistaa lämmÃnsiirtimen mitoitusvaiheessa, että vaippapuolen painehävià ei ylitä sallittuja rajoja. Ohjelmatäydentää olemassa olevia mitoitusohjelmia. Tässä diplomityÃssä käsitellään ainoastaan hÃyryvoimalaitosprosesseissa käytettäviä putkilämmÃnsiirtimiä. TyÃn kirjallisessa osassa on selvitetty periaate hÃyryvoimalaitosprosessista ja siinä käytettävistä putkilämmÃnsiirtimistä sekä esitetty putkilämmÃnsiirtimien rakenne, yleinen suunnittelu ja lämpÃ- ja virtaustekninen mitoitus. PainehäviÃn laskennassa käytetyt ja lämpÃ- ja virtausteknistä mitoitusta käsittelevässä kappaleessa esitetyt yhtälÃt perustuvat Bell-Delawaren menetelmään. PainehäviÃnlaskentaohjelma on toteutettu hyväksikäyttäen Microsoft Excel taulukkolaskentaa ja Visual Basic -ohjelmointikieltä. PainehäviÃn laskenta perustuu segmenttivälilevyillä varustetun putkilämmÃnsiirtimen vaippapuolen yksifaasivirtaukseen. LämmÃnsiirtimen lauhdutinosan painehävià oletetaan merkityksettÃmäksi, joten kokonaispainehävià muodostuu hÃyryn- ja lauhteenjäähdyttimessä. Kehitetty ohjelma on suunniteltu erityisesti lauhteenjäähdyttimessä muodostuvan painehäviÃn laskentaan. Ohjelmalla laskettuja painehäviÃn arvoja on verrattu todellisesta lämmÃnsiirtimestä mitattuihin arvoihin. Lasketut arvotvastaavat hyvin mittaamalla saatuja, eikä tuloksissa ilmene mitään systemaattista virhettä. Ohjelma on valmis käytettäväksi putkilämmÃnsiirtimien mitoitustyÃkaluna. DiplomityÃn pohjalta on tehty ehdotukset ohjelman edelleen kehittämiseksi.

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Tämä kandidaatintyà tutkii tietotekniikan perusopetuksessa keskeisen aiheen,ohjelmoinnin, alkeisopetusta ja siihen liittyviä ongelmia. TyÃssä perehdytään ohjelmoinnin perusopetusmenetelmiin ja opetuksen lähestymistapoihin, sekä ratkaisuihin, joilla opetusta voidaan tehostaa. Näitä ratkaisuja tyÃssä ovat mm. ohjelmointikielen valinta, käytettävän kehitysympäristÃn lÃytäminen sekä kurssia tukevien opetusapuvälineiden etsiminen. Lisäksi kurssin läpivientiin liittyvien toimintojen, kuten harjoitusten ja mahdollisten viikkotehtävien valinta kuuluu osaksitätä tyÃtä. Tyà itsessään lähestyy aihetta tutkimalla Pythonin soveltuvuutta ohjelmoinnin alkeisopetukseen mm. vertailemalla sitä muihin olemassa oleviin yleisiin opetuskieliin, kuten C, C++ tai Java. Se tarkastelee kielen hyviä ja huonoja puolia, sekä tutkii, voidaanko Pythonia hyÃdyntää luontevasti pääasiallisena opetuskielenä. Lisäksi tyà perehtyy siihen, mitä kaikkea kurssilla tulisi opettaa, sekä siihen, kuinka kurssin läpivienti olisi tehokkainta toteuttaa ja minkälaiset tekniset puitteet kurssin toteuttamista varten olisi järkevää valita.

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Diplomityà tarkastelee säikeistettyä ohjelmointia rinnakkaisohjelmoinnin ylemmällä hierarkiatasolla tarkastellen erityisesti hypersäikeistysteknologiaa. TyÃssä tarkastellaan hypersäikeistyksen hyviä ja huonoja puolia sekä sen vaikutuksia rinnakkaisalgoritmeihin. TyÃn tavoitteena oli ymmärtää Intel Pentium 4 prosessorin hypersäikeistyksen toteutus ja mahdollistaa sen hyÃdyntäminen, missä se tuo suorituskyvyllistä etua. TyÃssä kerättiin ja analysoitiin suorituskykytietoa ajamalla suuri joukko suorituskykytestejä eri olosuhteissa (muistin käsittely, kääntäjän asetukset, ympäristÃmuuttujat...). TyÃssä tarkasteltiin kahdentyyppisiä algoritmeja: matriisioperaatioita ja lajittelua. Näissä sovelluksissa on säännÃllinen muistinkäyttÃkuvio, mikä on kaksiteräinen miekka. Se on etu aritmeettis-loogisissa prosessoinnissa, mutta toisaalta huonontaa muistin suorituskykyä. Syynä siihen on nykyaikaisten prosessorien erittäin hyvä raaka suorituskyky säännÃllistä dataa käsiteltäessä, mutta muistiarkkitehtuuria rajoittaa välimuistien koko ja useat puskurit. Kun ongelman koko ylittää tietyn rajan, todellinen suorituskyky voi pudota murto-osaan huippusuorituskyvystä.

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Virtual Laboratories are an indispensablespace for developing practical activities in a Virtual Environment. In the field of Computer and Software Engineering different types of practical activities have tobe performed in order to obtain basic competences which are impossible to achieve by other means. This paper specifies an ontology for a general virtual laboratory.The proposed ontology provides a mechanism to select the best resources needed in a Virtual Laboratory once a specific practical activity has been defined and the maincompetences that students have to achieve in the learning process have been fixed. Furthermore, the proposed ontology can be used to develop an automatic and wizardtool that creates a Moodle Classroom using the practical activity specification and the related competences.