999 resultados para Neuro-Technology


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Audit report on the Iowa State Center Business Office of Iowa State University of Science and Technology for the year ended June 30, 2008

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This paper characterizes the innovation strategy of manufacturing firms andexamines the relation between the innovation strategy and importantindustry-, firm- and innovation-specific characteristics using Belgiandata from the Eurostat Community Innovation Survey. In addition to importantsize effects explaining innovation, we find that high perceived risks andcosts and low appropriability of innovations do not discourage innovation,but rather determine how the innovation sourcing strategy is chosen. Withrespect to the determinants of the decision of the innovative firm toproduce technology itself (Make) or to source technology externally (Buy),we find that small firms are more likely restrict their innovation strategyto an exclusive make or buy strategy, while large firms are more likely tocombine both internal and external knowledge acquisition in their innovationstrategy. An interesting result that highlights the complementary nature ofthe Make and Buy decisions, is that, controlled for firm size, companies forwhich internal information is an important source for innovation are morelikely to combine internal and external sources of technology. We find thisto be evidence of the fact that in-house R&D generates the necessaryabsorptive capacity to profit from external knowledge acquisition. Also theeffectiveness of different mechanisms to appropriate the benefits ofinnovations and the internal organizational resistance against change areimportant determinants of the firm's technology sourcing strategy.

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Report on a special investigation of the Engineering Communications and Marketing Department (ECM) of Iowa State University of Science and Technology for the period January 1, 2003 through December 31, 2007

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Audit report on Iowa State University of Science and Technology as of and for the year ended June 30, 2008

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The present paper revisits a property embedded in most dynamic macroeconomic models: the stationarity of hours worked. First, I argue that, contrary to what is often believed, there are many reasons why hours could be nonstationary in those models, while preserving the property of balanced growth. Second, I show that the postwar evidence for most industrialized economies is clearly at odds with the assumption of stationary hours per capita. Third, I examine the implications of that evidence for the role of technology as a source of economic fluctuations in the G7 countries.

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This paper analyzes the choice between different innovationactivities of a firm. In particular, we study the technologyacquisition decision of the firm, i.e. its technology BUYdecision as part of the firm's innovation strategy. We take a closer look at the different types of external technologyacquisition where we distinguish two broad types of technologybuy decisions. On the one hand, the firm can acquire new technology which is embodied in an asset that is acquired suchas new personnel or (parts of) other firms or equipment. On the other hand, the firm can obtain new technology disembodiedthrough a licensing agreement or by outsourcing the technologydevelopment from an R&D contractor or consulting agency. Through a series of Probit regressions, we discuss variables that might affect external technology acquisition choices of the firm andpay special attention to the firm's abilities to scan the market for technology and to absorb the technology acquired. Furthermore, we analyze the effect of different appropriationregimes on the decision of the firm to source technology.

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Supernatants from cell cultures (also called conditioned media, CMs) are commonly analyzed to study the pool of secreted proteins (secretome). To reduce the exogenous protein background, serum-free media are often used to obtain CMs. Serum deprivation, however, can severely affect cell viability and phenotype, including protein secretion. We present a strategy to analyze the proteins secreted by cells in fetal bovine serum-containing CMs, which combines the advantage of metabolic labeling and protein concentration linearization techniques. Incubation of CMs with a hexapeptide ligand library was used to reduce the dynamic range of the samples and led to the identification of 3 times more proteins than in untreated CM samples. Labeling with a deuterated amino acid was used to distinguish between cellular proteins and homologous bovine proteins contained in the medium. Application of the strategy to two breast cancer cell lines led to the identification of proteins secreted in different amounts and which could correlate with their varying degree of aggressiveness. Selected reaction monitoring (SRM)-based quantitation of three proteins of interest in the crude samples yielded data in good agreement with the results from concentration-equalized samples.

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Report on Iowa State University of Science and Technology, Ames, Iowa, for the year ended June 30, 2008

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Over the last century, numerous techniques have been developed to analyze the movement of humans while walking and running. The combined use of kinematics and kinetics methods, mainly based on high speed video analysis and forceplate, have permitted a comprehensive description of locomotion process in terms of energetics and biomechanics. While the different phases of a single gait cycle are well understood, there is an increasing interest to know how the neuro-motor system controls gait form stride to stride. Indeed, it was observed that neurodegenerative diseases and aging could impact gait stability and gait parameters steadiness. From both clinical and fundamental research perspectives, there is therefore a need to develop techniques to accurately track gait parameters stride-by-stride over a long period with minimal constraints to patients. In this context, high accuracy satellite positioning can provide an alternative tool to monitor outdoor walking. Indeed, the high-end GPS receivers provide centimeter accuracy positioning with 5-20 Hz sampling rate: this allows the stride-by-stride assessment of a number of basic gait parameters--such as walking speed, step length and step frequency--that can be tracked over several thousand consecutive strides in free-living conditions. Furthermore, long-range correlations and fractal-like pattern was observed in those time series. As compared to other classical methods, GPS seems a promising technology in the field of gait variability analysis. However, relative high complexity and expensiveness--combined with a usability which requires further improvement--remain obstacles to the full development of the GPS technology in human applications.

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Schedule of Debt Service and Coverage for Iowa State University of Science and Technology for the Academic Building Revenue Bond Funds for the year ended June 30, 2009

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Audit report on the Student Health Facility Revenue Bond Funds of Iowa State University of Science and Technology for the year ended June 30, 2009

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In the last decades, new technologies have been introduced in the daily clinical practice of the radiation oncologist: 3D-Conformal radiotherapy (RT) became almost universally available, thereafter, intensity modulated RT (IMRT) gained large diffusion, due to its potential impact in improving the clinical outcomes, and more recently, helical and volumetric arc IMRT with image-guided RT are becoming more and more diffused and used for prostate cancer patients. The conventional dose-fractionation results to be the best compromise between the efficacy and the safety of the treatment, but combining new techniques, modern RT allows to overcame one of the major limits of the 'older' RT: the impossibility of delivering higher total doses and/or high dose/fraction. The evidences regarding radiobiology, clinical and technological evolution of RT in prostate cancer have been reported and discussed.

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Audit report of Iowa State University of Science and Technology, Ames, Iowa, (Iowa State University) for the year ended June 30, 2009

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Agreed-upon procedures report on the Iowa State Center Business Office of Iowa State University of Science and Technology for the year ended June 30, 2009