56,242 research outputs found
"Closing the R&D Gap, Evaluating the Sources of R&D Spending"
No full textBoth spending and tax policies have been implemented in the United States with the goal of stimulating private sector research and development (R&D). Karier questions whether current R&D policy, especially the research and experimentation tax credit, can contribute to closing the gap between nondefense expenditures on R&D in the United States and such expenditures in other countries, such as Japan and Germany. He also explores possible changes to our current R&D policy to make it more effective.
Letter and certificate from Governor R. M. Patton, Montgomery, Alabama, to H. D. Clayton, Clayton, Alabama, August 4, 1866
No full textGovernor Patton enclosed with this letter a certificate commissioning H. D. Clayton Judge of the Eighth Judicial Circuit
Professor Dan L Bader, scientist, mentor, and friend
No full textThis special edition of the Journal of Tissue Viability provides a collection of scientific excellence led by the late Professor Dan L Bader. These papers form part of an academic career spanning over 40 years, working in collaboration with partners from around the world to provide novel insights into factors effecting tissue viability and technologies to promote wound prevention. Dan's great ambition was to translate his work from ‘bench to bedside’, using the highest quality experimental data [[1], [2], [3], [4], [5], [6], [7], [8]], computational modelling [9,10] and clinical studies [11,12] to create a step change in our understanding of factors which effect tissue health. This body of work originated from his career spanning several academic institutions including Queen Mary University London (QMUL), Technical University Eindhoven (TUE), and the University of Southampton (UoS).No Full Tex
Box 10, Neg. No. 4798: W. D. Patton
No full textThis black and white photograph features a portrait of W. D. Patton - he is wearing a suit and is looking away from the camera. W. D. Patton ordered the photograph.https://scholars.fhsu.edu/stafford_county/2025/thumbnail.jp
The R&D Tax Incentives
No full textThis article sets out some background information and reflections of the author on the R&D tax incentive schemes included in the Common Corporate Tax Base (CCTB) Proposal. In particular the author analyzes the stimulus to private R&D through ad hoc tax incentives included in the CCTB Proposal and dives into the actual provisions included in the Proposal highlighting the most relevant issues connected with their design and interpretation. Moreover, the author explores the interaction between the CCTB Proposal and the granting by Member States of domestic R&D tax incentives
Using strategic ambiguity as management practice in academic R&D : An ethnographic study of MIT SENSEable City Lab
No full textThis article explores the role of strategic ambiguity (Eisenberg, 2007; March & Olsen, 1976) as a management practice, as used in SENSEable City Lab - a R&D-oriented lab located at the Massachusetts Institute of Technology in Cambridge, MA.
Although literature has already explored strategic ambiguity in various organizational settings, studies focusing on how academic institutions use strategic ambiguity in the context of R&D are quite sparse.
The article aims at filling this gap by reporting on a study conducted by the author across 2011 and 2014 in a R&D-oriented academic lab and reflecting on the potential of strategic ambiguity as an effective dialogic strategy to appreciate differences among internal organization members and with external partners. The article also examines some shortcomings of strategic ambiguity, such as the level of anxiety reported by some members of the lab
Preemptive Search and R&D Clustering Revisited
No full textThe results obtained by Cardon and Sasaki (1998) on R&D clustering are derived under the specific assumption that firms only can own one patent. When multiple patents are allowed, R&D clustering will come about more frequently if search costs are substantial.R&D clustering; persistence of monopoly
1ST MEASUREMENT OF GAMMA(D(S)(+)-]MU+NU)/GAMMA(D(S)(+)-]PHI-PI+)
No full textComplete Author List:
ACOSTA D, ATHANAS M, MASEK G, PAAR H, BEAN A, GRONBERG J, KUTSCHKE R, MENARY S, MORRISON RJ, NAKANISHI S, NELSON HN, NELSON TK, RICHMAN JD, RYD A, TAJIMA H, SCHMIDT D, SPERKA D, WITHERELL MS, PROCARIO M, YANG S, BALEST R, CHO K, DAOUDI M, FORD WT, JOHNSON DR, LINGEL K, LOHNER M, RANKIN P, SMITH JG, ALEXANDER JP, BEBEK C, BERKELMAN K, BESSON D, BROWDER TE, CASSEL DG, CHO HA, COFFMAN DM, DRELL PS, EHRLICH R, GALIK RS, GARCIASCIVERES M, GEISER B, GITTELMAN B, GRAY SW, HARTILL DL, HELTSLEY BK, JONES CD, JONES SL, KANDASWAMY J, KATAYAMA N, KIM PC, KREINICK DL, LUDWIG GS, MASUI J, MEVISSEN J, MISTRY NB, NG CR, NORDBERG E, OGG M, PATTERSON JR, PETERSON D, RILEY D, SALMAN S, SAPPER M, WORDEN H, WURTHWEIN F, AVERY P, FREYBERGER A, RODRIGUEZ J, STEPHENS R, YELTON J, CINABRO D, HENDERSON S, KINOSHITA K, LIU T, SAULNIER M, SHEN F, WILSON R, YAMAMOTO H, ONG B, SELEN M, SADOFF AJ, AMMAR R, BALL S, BARINGER P, COPPAGE D, COPTY N, DAVIS R, HANCOCK N, KELLY M, KWAK N, LAM H, KUBOTA Y, LATTERY M, NELSON JK, PATTON S, PERTICONE D, POLING R, SAVINOV V, SCHRENK S, WANG R, ALAM MS, KIM IJ, NEMATI B, ONEILL JJ, SEVERINI H, SUN CR, ZOELLER MM, CRAWFORD G, DAUBENMIER CM, FULTON R, FUJINO D, GAN KK, HONSCHEID K, KAGAN H, KASS R, LEE J, MALCHOW R, MORROW F, SKOVPEN Y, SUNG M, WHITE C, WHITMORE J, WILSON P, BUTLER F, FU X, KALBFLEISCH G, LAMBRECHT M, ROSS WR, SKUBIC P, SNOW J, WANG PL, WOOD M, BORTOLETTO D, BROWN DN, FAST J, MCILWAIN RL, MIAO T, MILLER DH, MODESITT M, SCHAFFNER SF, SHIBATA EI, SHIPSEY IPJ, WANG PN, BATTLE M, ERNST J, KROHA H, ROBERTS S, SPARKS K, THORNDIKE EH, WANG CH, DOMINICK J, SANGHERA S, SHELKOV V, SKWARNICKI T, STROYNOWSKI R, VOLOBOUEV I, ZADOROZHNY P, ARTUSO M, HE D, GOLDBERG M, HORWITZ N, KENNETT R, MONETI GC, MUHEIM F, MUKHIN Y, PLAYFER S, ROZEN Y, STONE S, THULASIDAS M, VASSEUR G, ZHU G, BARTELT J, CSORNA SE, EGYED Z, JAIN V, SHELDON P, AKERIB DS, BARISH B, CHADHA M, CHAN S, COWEN DF, EIGEN G, MILLER JS, OGRADY C, URHEIM J, WEINSTEIN A
Exploring the role of the CEO in innovation in life science R&D firms
No full textIn order for firms to remain competitive CEOs acknowledge the importance of
innovation. In life science R&D firms scientists are crucial for innovation because they
hold knowledge to create competitive new products. They are also known to fall outside
of full control of management. Therefore, understanding the role of the CEO in
innovation in life science R&D is key to understanding innovation in these firms.
In order to gain insight into the role of the CEO a comprehensive review of the literature
was conducted. It showed that the role of the CEO was mainly explored by means of
survey-based investigations. The knowledge thus obtained has not offered insight into
what CEOs actually do to lead innovation in life science R&D firms, nor does it take into
account how it is perceived by R&D.
It was therefore decided to conduct structured interviews of 15 CEOs of life science R&D
firms to obtain a better understanding of what they actually do to lead innovation. Their
views were contrasted against the perceptions of 33 R&D managers who report to the
CEOs. It was found that CEOs need to make considerable use of their absorptive capacity
to lead innovation and that they use this capacity to focus R&D. The R&D function refers
to the need for the CEO’s absorptive capacity but emphasizes a relationship with the
CEO based on trust.
The unique contribution of this research is that not only takes into account the view of
the CEO but also of the R&D function. For academics, it opens new avenues for research
in innovation using CEO absorptive capacity. For practitioners, it advises CEOs to make
efforts to improve their absorptive capacity in order to be able to lead innovation in life
science R&D firms
Neural networks for fault diagnosis of industrial plants at different working points
No full textIndustrial plants often work at different operating points. However,
in literature applications of neural networks for fault diagnosis
usually consider only a single working condition or small changes of
operating points. A standard scheme for the design of neural
networks for fault diagnosis at all operating points may be
impractical due to the unavailability of suitable training data for
all working conditions. This paper addresses the design of a single
neural network for the diagnosis of faults in the sensors of an
industrial gas turbine working at different conditions. The
presented results illustrate the performance of the trained neural
network for sensor fault diagnosis
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