971 resultados para object oriented regular expressions
Resumo:
The information presented in this summary document has been based on the comprehensive,"Task Force Report on Water-Oriented Outdoor Recreation, Fish and Wildlife." The overriding principle the main task force report conveyed is that Iowa should not forsake the remaining water-oriented fish and wildlife resource base in the name of economic development.The reader should refer to the task force document for more detailed information.
Resumo:
The institutional regimes framework has previously been applied to the institutional conditions that support or hinder the sustainability of housing stocks. This resource-based approach identifies the actors across different sectors that have an interest in housing, how they use housing, the mechanisms affecting their use (public policy, use rights, contracts, etc.) and the effects of their uses on the sustainability of housing within the context of the built environment. The potential of the institutional regimes framework is explored for its suitability to the many considerations of housing resilience. By identifying all the goods and services offered by the resource 'housing stock', researchers and decision-makers could improve the resilience of housing by better accounting for the ecosystem services used by housing, decreasing the vulnerability of housing to disturbances, and maximizing recovery and reorganization following a disturbance. The institutional regimes framework is found to be a promising tool for addressing housing resilience. Further questions are raised for translating this conceptual framework into a practical application underpinned with empirical data.
Resumo:
We analyze the process of informational exchange through complex networks by measuring network efficiencies. Aiming to study nonclustered systems, we propose a modification of this measure on the local level. We apply this method to an extension of the class of small worlds that includes declustered networks and show that they are locally quite efficient, although their clustering coefficient is practically zero. Unweighted systems with small-world and scale-free topologies are shown to be both globally and locally efficient. Our method is also applied to characterize weighted networks. In particular we examine the properties of underground transportation systems of Madrid and Barcelona and reinterpret the results obtained for the Boston subway network.
Resumo:
A cross-over controlled administration study of smoked cannabis was carried out on occasional and heavy smokers. The participants smoked a joint (11 % Δ9-tetrahydrocannabinol (THC)) or a matching placebo on two different occasions. Whole blood (WB) and oral fluid (OF) samples were collected before and up to 3.5 h after smoking the joints. Pharmacokinetic analyses were obtained from these data. Questionnaires assessing the subjective effects were administered to the subjects during each session before and after the smoking time period. THC, 11-hydroxy-THC (11-OH-THC) and 11-nor-9-carboxy-THC (THCCOOH) were analyzed in the blood by gas chromatography or liquid chromatography (LC)-tandem mass spectrometry (MS/MS). The determination of THC, THCCOOH, cannabinol (CBN), and Δ9-tetrahydrocannabinolic acid A (THC-A) was carried out on OF only using LC-MS/MS. In line with the widely accepted assumption that cannabis smoking results in a strong contamination of the oral cavity, we found that THC, and also THC-A, shows a sharp, high concentration peak just after smoking, with a rapid decrease in these levels within 3 h. No obvious differences were found between both groups concerning THC median maximum concentrations measured either in blood or in OF; these levels were equal to 1,338 and 1,041 μg/L in OF and to 82 and 94 μg/L in WB for occasional and heavy smokers, respectively. The initial WB THCCOOH concentration was much higher in regular smokers than in occasional users. Compared with the occasional smokers, the sensation of confusion felt by the regular smokers was much less while the feeling of intoxication remained almost unchanged.
Resumo:
Learning object repositories are a basic piece of virtual learning environments used for content management. Nevertheless, learning objects have special characteristics that make traditional solutions for content management ine ective. In particular, browsing and searching for learning objects cannot be based on the typical authoritative meta-data used for describing content, such as author, title or publicationdate, among others. We propose to build a social layer on top of a learning object repository, providing nal users with additional services fordescribing, rating and curating learning objects from a teaching perspective. All these interactions among users, services and resources can be captured and further analyzed, so both browsing and searching can be personalized according to user pro le and the educational context, helping users to nd the most valuable resources for their learning process. In this paper we propose to use reputation schemes and collaborative filtering techniques for improving the user interface of a DSpace based learning object repository.
Resumo:
In this paper we describe a proposal for defining the relationships between resources, users and services in a digital repository. Nowadays, virtual learning environments are widely used but digital repositories are not fully integrated yet into the learning process. Our final goal is to provide final users with recommendation systems and reputation schemes that help them to build a true learning community around the institutional repository, taking into account their educational context (i.e. the courses they are enrolled into) and their activity (i.e. system usage by their classmates and teachers). In order to do so, we extend the basic resource concept in a traditional digital repository by adding all the educational context and other elements from end-users' profiles, thus bridging users, resources and services, and shifting from a library-centered paradigm to a learning-centered one.
Resumo:
The paper deals with the development and application of the methodology for automatic mapping of pollution/contamination data. General Regression Neural Network (GRNN) is considered in detail and is proposed as an efficient tool to solve this problem. The automatic tuning of isotropic and an anisotropic GRNN model using cross-validation procedure is presented. Results are compared with k-nearest-neighbours interpolation algorithm using independent validation data set. Quality of mapping is controlled by the analysis of raw data and the residuals using variography. Maps of probabilities of exceeding a given decision level and ?thick? isoline visualization of the uncertainties are presented as examples of decision-oriented mapping. Real case study is based on mapping of radioactively contaminated territories.
Resumo:
Process variations are a major bottleneck for digital CMOS integrated circuits manufacturability and yield. That iswhy regular techniques with different degrees of regularity are emerging as possible solutions. Our proposal is a new regular layout design technique called Via-Configurable Transistors Array (VCTA) that pushes to the limit circuit layout regularity for devices and interconnects in order to maximize regularity benefits. VCTA is predicted to perform worse than the Standard Cell approach designs for a certain technology node but it will allow the use of a future technology on an earlier time. Ourobjective is to optimize VCTA for it to be comparable to the Standard Cell design in an older technology. Simulations for the first unoptimized version of our VCTA of delay and energy consumption for a Full Adder circuit in the 90 nm technology node are presented and also the extrapolation for Carry-RippleAdders from 4 bits to 64 bits.
Resumo:
In robotics, having a 3D representation of the environment where a robot is working can be very useful. In real-life scenarios, this environment is constantly changing for example by human interaction, external agents or by the robot itself. Thus, the representation needs to be constantly updated and extended to account for these dynamic scene changes. In this work we face the problem of representing the scene where a robot is acting. Moreover, we ought to improve this representation by reusing the information obtained in previous scenes. Our goal is to build a method to represent a scene and to update it while changes are produced. In order to achieve that, different aspects of computer vision such as space representation or feature tracking are discussed
Resumo:
3,537 men enrolling in 2007 for mandatory army recruitment procedures were assessed for the co-occurrence of risky licit substance use among risky cannabis users. Risky cannabis use was defined as at least twice weekly; risky alcohol use as 6+ drinks more than once/monthly, or more than 20 drinks per week; and risky tobacco use as daily smoking. Ninety-five percent of all risky cannabis users reported other risky use. They began using cannabis earlier than did non-risky users, but age of onset was unrelated to other risky substance use. A pressing public health issue among cannabis users stems from risky licit substance use warranting preventive efforts within this age group.
Resumo:
Ohutlevyteollisuuden markkinatilanne on muuttunut, kun tuotantomäärät ovat kasvaneet, laatuvaatimukset tiukentuneet ja markkinat globalisoituneet. Konenäön avulla on mahdollista tehostaa laadunvalvontaa, jolloin virheet voidaan havaita nopeammin ja siten säästää tuotantokustannuksissa. Muotoiltujen ohutlevyosien tarkastamiseksi tarvitaan kolmiulotteisia mittausmenetelmiä, joilla pystytään varsin nopeasti ja tarkasti analysoimaan kappaleita. Erityisesti fotogrammetriaan perustuvaa rakenteista valoa on sovellettu erilaisissa mittalaitteissa, ja menetelmä on myös varsin joustava sekä edullinen käyttää. Fotogrammetriaan ja rakenteiseen valoon perustuvista mittalaitteista valittiin arvioitavaksi Mapvision 4D. Testeissä tutkittiin laitteen tarkkuutta, nopeutta ja soveltuvuutta teollisuusympäristöön sekä erityisesti taivutuskulmien, reikien halkaisijoidenja etäisyyksien mittaamista. Sovittamalla mitattu data CAD-malliin pystytään kappaleen mitoitus tarkastamaan vaaditulla 0,1 millimetrin tarkkuudella. Testitulosten perusteella voidaan todeta sekä mittalaitteen että mittausmenetelmän soveltuvan ohutlevykappaleiden laadunvalvontaan, kunhan reunojen määrityksessä esiintyvä säännöllinen epätarkkuus otetaan huomioon.
Resumo:
Multisensory processes facilitate perception of currently-presented stimuli and can likewise enhance later object recognition. Memories for objects originally encountered in a multisensory context can be more robust than those for objects encountered in an exclusively visual or auditory context [1], upturning the assumption that memory performance is best when encoding and recognition contexts remain constant [2]. Here, we used event-related potentials (ERPs) to provide the first evidence for direct links between multisensory brain activity at one point in time and subsequent object discrimination abilities. Across two experiments we found that individuals showing a benefit and those impaired during later object discrimination could be predicted by their brain responses to multisensory stimuli upon their initial encounter. These effects were observed despite the multisensory information being meaningless, task-irrelevant, and presented only once. We provide critical insights into the advantages associated with multisensory interactions; they are not limited to the processing of current stimuli, but likewise encompass the ability to determine the benefit of one's memories for object recognition in later, unisensory contexts.
Resumo:
Single-trial encounters with multisensory stimuli affect both memory performance and early-latency brain responses to visual stimuli. Whether and how auditory cortices support memory processes based on single-trial multisensory learning is unknown and may differ qualitatively and quantitatively from comparable processes within visual cortices due to purported differences in memory capacities across the senses. We recorded event-related potentials (ERPs) as healthy adults (n = 18) performed a continuous recognition task in the auditory modality, discriminating initial (new) from repeated (old) sounds of environmental objects. Initial presentations were either unisensory or multisensory; the latter entailed synchronous presentation of a semantically congruent or a meaningless image. Repeated presentations were exclusively auditory, thus differing only according to the context in which the sound was initially encountered. Discrimination abilities (indexed by d') were increased for repeated sounds that were initially encountered with a semantically congruent image versus sounds initially encountered with either a meaningless or no image. Analyses of ERPs within an electrical neuroimaging framework revealed that early stages of auditory processing of repeated sounds were affected by prior single-trial multisensory contexts. These effects followed from significantly reduced activity within a distributed network, including the right superior temporal cortex, suggesting an inverse relationship between brain activity and behavioural outcome on this task. The present findings demonstrate how auditory cortices contribute to long-term effects of multisensory experiences on auditory object discrimination. We propose a new framework for the efficacy of multisensory processes to impact both current multisensory stimulus processing and unisensory discrimination abilities later in time.
Resumo:
Tutkimuksen tarkoitus on tuottaa ajantasaista tietoutta siitä, millainen käsitys laskenta-alan tradenomi- ja maisteriopiskelijoilla on tämän päivän tilitoimistotyöstä ja koetaanko tilitoimisto kiinnostavana työpaikkana. Asiaa tarkasteltiin tietotyön monipuolisuuden ja motivaation näkökulmasta. Tutkimuksen empiirinen osuus toteutettiin nettikyselynä, joka kohdistettiin viimeisen vuoden taloushallinnon tai laskentatoimen pääainetta Suomessa opiskeleville tradenomi- ja maisteriopiskelijoille. Vastauksia saatiin 182, joista 162 oli tradenomi- ja 20 kauppatieteiden maisteriopiskelijoilta. Tutkimus toteutettiin kvantitatiivisena. Vastaajista 55 prosenttia pititilitoimistoa kiinnostavana ja 25 prosenttia melko kiinnostavana työpaikkana. Tulokset osoittavat, että tilitoimistotyö on kiinnostava vaihtoehto henkilöille, jotka kokevat työn itseään sisäisesti motivoivaksi. Sisäistä motivaatiota voidaan parantaa ulkoiseen motivaatioon vaikuttavia, kuten rahallisia ja sosiaalisia palkkioita, lisäämällä. Myös asiakaslähtöiset työtehtävät ja verkostomainen toimintatapa vaikuttavat sisäiseen motivaatioon. Työntekijän vaikutusmahdollisuudet omaan työhönsä lisäävät puolestaan ulkoista motivaatiota. Tieto- ja viestintätekniikan monipuolinen hyödyntäminen selittää ulkoisesta motivaatiosta pienen osan. Tietotyön ulottuvuuksista ainoastaan koulutus- ja kehittämismahdollisuudet eivätvaikuta motivaatioon eivätkä tilitoimiston kiinnostavuuteen työpaikkana. Tulokset osoittavat tilitoimistotyön olevan tulevien tietotyöntekijöiden näkemyksen mukaan monipuolista tietotyötä. Tilitoimistotyössä hyödynnetääntieto- ja viestintätekniikkaa monipuolisesti, ja se sisältää omaa suunnittelua vaativia työtehtäviä. Työ vaatii tekijältään korkeaa ja laaja-alaista osaamista sekä jatkuvaa itsensä kehittämistä. Tilitoimistot toimivat sekä sisäisissä että ulkoisissa verkostoissa, joten työntekijät tarvitsevat myös sosiaalisia taitoja.Tilitoimistot tarjoavat työntekijöille melko hyvät vaikutusmahdollisuudet omaantyöhönsä. Tilitoimistotyön arvioitiin tarjoavan muuta tietotyötä paremmat koulutus- ja itsensä kehittämismahdollisuudet. Huolimatta monipuolisuudesta tietotyönnäkökulmasta, tilitoimistotyötä pidettiin yleensä liian säännöllisenä rutiinityönä.