The Experts below are selected from a list of 360 Experts worldwide ranked by ideXlab platform
Leo Anthony Celi - One of the best experts on this subject based on the ideXlab platform.
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mimic iii a freely accessible critical care database
Scientific Data, 2016Co-Authors: Alistair E W Johnson, Tom J Pollard, Lu Shen, Liwei H Lehman, Mengling Feng, Mohammad M Ghassemi, Benjamin Moody, Peter Szolovits, Leo Anthony CeliAbstract:MIMIC-III (‘Medical Information Mart for Intensive Care’) is a large, single-center database comprising information relating to patients admitted to critical care units at a large tertiary care hospital. Data includes vital signs, medications, laboratory measurements, observations and notes charted by care providers, fluid balance, procedure codes, diagnostic codes, imaging reports, hospital length of stay, survival data, and more. The database supports applications including academic and Industrial Research, quality improvement initiatives, and higher education coursework. Machine-accessible metadata file describing the reported data (ISA-Tab format)
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mimic iii a freely accessible critical care database
Scientific Data, 2016Co-Authors: Alistair E W Johnson, Tom J Pollard, Lu Shen, Liwei H Lehman, Mengling Feng, Mohammad M Ghassemi, Benjamin Moody, Peter Szolovits, Leo Anthony CeliAbstract:MIMIC-III ('Medical Information Mart for Intensive Care') is a large, single-center database comprising information relating to patients admitted to critical care units at a large tertiary care hospital. Data includes vital signs, medications, laboratory measurements, observations and notes charted by care providers, fluid balance, procedure codes, diagnostic codes, imaging reports, hospital length of stay, survival data, and more. The database supports applications including academic and Industrial Research, quality improvement initiatives, and higher education coursework.
Mengling Feng - One of the best experts on this subject based on the ideXlab platform.
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mimic iii a freely accessible critical care database
Scientific Data, 2016Co-Authors: Alistair E W Johnson, Tom J Pollard, Lu Shen, Liwei H Lehman, Mengling Feng, Mohammad M Ghassemi, Benjamin Moody, Peter Szolovits, Leo Anthony CeliAbstract:MIMIC-III (‘Medical Information Mart for Intensive Care’) is a large, single-center database comprising information relating to patients admitted to critical care units at a large tertiary care hospital. Data includes vital signs, medications, laboratory measurements, observations and notes charted by care providers, fluid balance, procedure codes, diagnostic codes, imaging reports, hospital length of stay, survival data, and more. The database supports applications including academic and Industrial Research, quality improvement initiatives, and higher education coursework. Machine-accessible metadata file describing the reported data (ISA-Tab format)
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mimic iii a freely accessible critical care database
Scientific Data, 2016Co-Authors: Alistair E W Johnson, Tom J Pollard, Lu Shen, Liwei H Lehman, Mengling Feng, Mohammad M Ghassemi, Benjamin Moody, Peter Szolovits, Leo Anthony CeliAbstract:MIMIC-III ('Medical Information Mart for Intensive Care') is a large, single-center database comprising information relating to patients admitted to critical care units at a large tertiary care hospital. Data includes vital signs, medications, laboratory measurements, observations and notes charted by care providers, fluid balance, procedure codes, diagnostic codes, imaging reports, hospital length of stay, survival data, and more. The database supports applications including academic and Industrial Research, quality improvement initiatives, and higher education coursework.
W Kuemmerle - One of the best experts on this subject based on the ideXlab platform.
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foreign direct investment in Industrial Research in the pharmaceutical and electronics industries results from a survey of multinational firms
Portland International Conference on Management of Engineering and Technology, 1999Co-Authors: W KuemmerleAbstract:Summary form only given. This paper examines motives, location characteristics, inter-temporal characteristics and modes of entry for foreign direct investment (FDI) in Research and development (R&D). The paper is based on a detailed empirical survey of laboratory sites established by 32 large multinational companies. The sample consists of 10 US firms, 12 Japanese firms and 10 European firms. 19 out of the 32 firms are Fortune Global 100 firms and thus among the largest in their industry. The empirical survey consisted of extensive archival Research, a questionnaire survey and at least 2 interviews with senior executives in each company. Through this approach it was possible to establish a detailed history for each of 238 R&D sites established by these 32 firms. The data set on which the paper is based is one of the largest of its kind. The paper uses tabulation devices as well as statistical tests to describe and evaluate various aspects of FDI in R&D. Findings are compared to results obtained by other Researchers and differences and similarities are discussed. The paper finds that FDI in R&D has risen considerably over the last 40 years and that firms invest primarily in Industrialized countries. We also find that firms invest in R&D sites abroad for two reasons, either in order to acquire new knowledge and augment the firm's home base or in order to apply existing knowledge to local markets and manufacturing facilities and thus to exploit the firm's knowledge base.
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foreign direct investment in Industrial Research in the pharmaceutical and electronics industries results from a survey of multinational firms
Research Policy, 1999Co-Authors: W KuemmerleAbstract:Abstract This paper examines motives, location characteristics, inter-temporal characteristics and modes of entry for foreign direct investment (FDI) in Research and development (R&D). The paper is based on a detailed empirical survey of laboratory sites established by 32 large multinational companies domiciled in 5 countries. Findings indicate that FDI in R&D has risen considerably over the last 40 years and that firms invest in R&D sites abroad in order to augment their knowledge base or in order to exploit it. The former motive leads to establishment of facilities primarily close to universities while the latter type leads to establishment of facilities close to existing manufacturing facilities and markets. The paper also finds that greenfield investments are the dominant mode of entry and that firms establish multiple R&D sites in their home countries before investing in such sites abroad.
Alistair E W Johnson - One of the best experts on this subject based on the ideXlab platform.
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mimic iii a freely accessible critical care database
Scientific Data, 2016Co-Authors: Alistair E W Johnson, Tom J Pollard, Lu Shen, Liwei H Lehman, Mengling Feng, Mohammad M Ghassemi, Benjamin Moody, Peter Szolovits, Leo Anthony CeliAbstract:MIMIC-III (‘Medical Information Mart for Intensive Care’) is a large, single-center database comprising information relating to patients admitted to critical care units at a large tertiary care hospital. Data includes vital signs, medications, laboratory measurements, observations and notes charted by care providers, fluid balance, procedure codes, diagnostic codes, imaging reports, hospital length of stay, survival data, and more. The database supports applications including academic and Industrial Research, quality improvement initiatives, and higher education coursework. Machine-accessible metadata file describing the reported data (ISA-Tab format)
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mimic iii a freely accessible critical care database
Scientific Data, 2016Co-Authors: Alistair E W Johnson, Tom J Pollard, Lu Shen, Liwei H Lehman, Mengling Feng, Mohammad M Ghassemi, Benjamin Moody, Peter Szolovits, Leo Anthony CeliAbstract:MIMIC-III ('Medical Information Mart for Intensive Care') is a large, single-center database comprising information relating to patients admitted to critical care units at a large tertiary care hospital. Data includes vital signs, medications, laboratory measurements, observations and notes charted by care providers, fluid balance, procedure codes, diagnostic codes, imaging reports, hospital length of stay, survival data, and more. The database supports applications including academic and Industrial Research, quality improvement initiatives, and higher education coursework.
Susanne Thorwarth - One of the best experts on this subject based on the ideXlab platform.
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Industrial Research versus development investment the implications of financial constraints
Cambridge Journal of Economics, 2011Co-Authors: Dirk Czarnitzki, Hanna Hottenrott, Susanne ThorwarthAbstract:Previous literature provided evidence on financing constraints for investment in Research and development (R&D) activities due to capital market imperfections and special features of R&D investments. Moreover, it has been shown that a shift in capital structure towards more debt results in a reduction of R&D investments. This article complements this literature by compartmentalising R&D activities into its components, 'R' and 'D'. In particular, we distinguish Research from development as these activities not only differ in their nature but also, to a large extent, take place sequentially. Our results show that 'R' investment is more sensitive to a firms' operating liquidity than 'D' indicating that firms have to rely even more on internal funds for financing their Research compared with development activities. Moreover, we find that (basic) Research subsidy recipients' investment is less sensitive to internal liquidity. Copyright The Author 2010. Published by Oxford University Press on behalf of the Cambridge Political Economy Society. All rights reserved., Oxford University Press.
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Industrial Research versus development investment the implications of financial constraints
Social Science Research Network, 2009Co-Authors: Dirk Czarnitzki, Hanna Hottenrott, Susanne ThorwarthAbstract:Industrial Research and development (R&D) activities constitute an important driver of economic competitiveness. The impact of R&D on productivity at the firm level stems from the implementation of newly generated knowledge and technological discoveries into new products, processes or services. Particularly the 'R' component of R&D has been found to drive productivity at the firm level. That is firms that invest a larger fraction of their total R&D on Research (relative to development) are more productive both in terms of the production of new knowledge, e.g. patens as well as overall factor productivity. However, economic theory suggests that two types of market failure affect private investments in Research. First, private rates of return from Research activities are smaller than social rates of return because of the incompleteness of appropriability of the knowledge that is being created by investment. Second, especially for (basic) Research firms may face difficulties in attracting external investors or get bank loans for financing these activities. Complexity, specificity and outcome uncertainty of such investment projects may make it particularly difficult for outsiders to judge the expected return of 'R' projects. Hence, for firms with limited internal liquidity R&D investments may therefore be constrained. If information asymmetries are larger for 'R' than for 'D' financing constraints may be more binding for 'R' projects. Underinvestment in 'R', however, may result in a noticeable slowdown in productivity growth and consequently have particularly detrimental effects on technological progress and economic development. Previous studies on financing constraints for R&D do not explicitly distinguish between the different components of R&D. This article explicitly takes the heterogeneity of the two components into account. We argue that financing development 'D' externally should be less critical than it is for Industrial Research 'R'. First, our results show that firms’ investment in 'R' are more sensitive to liquidity than investments in 'D' indicating that firms have to rely even more on internal funds for financing the former type of activities. This may be due to the fact that the latter occurs later in the R&D process and is closer to yielding returns. That is, firms cut 'R', before they reduce 'D' if they have to allocate scarce internal funds. This has implications for R&D policy. If financial constraints for R&D are driven by the 'R' component, Industrial Research projects may deserve special support. Second, we show that public subsidies directed at 'R' indeed alleviate financing constraints.
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Industrial Research versus development investment the implications of financial constraints
Research Papers in Economics, 2009Co-Authors: Dirk Czarnitzki, Hanna Hottenrott, Susanne ThorwarthAbstract:Previous literature provided evidence on financing constraints for investment in R&D activities due to capital market imperfections and special features of R&D investments. Moreover, it has been shown that a shift in capital structure towards more debt, results in a reduction of R&D investments. This article complements this literature by compartmentalizing R&D activities in its components, R and D. In particular, we distinguish Research from development as these activities do not only differ in their nature, but also to a large extent take place sequentially. Our results show that R investment is more sensitive to the firms' operating liquidity than D indicating that firms have to rely even more on internal funds for financing their Research compared to development activities. Moreover, we find that (basic) Research subsidy recipients' investment is less sensitive to internal liquidity.