Zobrazeno 1 - 10
of 439
pro vyhledávání: '"M. Pilarski"'
Autor:
Heather E. Williams, Ahmed W. Shehata, Kodi Y. Cheng, Jacqueline S. Hebert, Patrick M. Pilarski
Publikováno v:
PLoS ONE, Vol 19, Iss 5 (2024)
Externí odkaz:
https://doaj.org/article/04acff408337467c83ebd1d5be9fb2b5
Autor:
Daisuke Ogiya, Zuzana Chyra, Sigitas J. Verselis, Morgan O’Keefe, Jacquelyn Cobb, Ivane Abiatari, Srikanth Talluri, Anjana Anilkumar Sithara, Teru Hideshima, Michael P. Chu, Roman Hájek, David M. Dorfman, Linda M. Pilarski, Kenneth C. Anderson, Sophia Adamia
Publikováno v:
Blood Cancer Journal, Vol 13, Iss 1, Pp 1-10 (2023)
Abstract Novel drug discoveries have shifted the treatment paradigms of most hematological malignancies, including multiple myeloma (MM). However, this plasma cell malignancy remains incurable, and novel therapies are therefore urgently needed. Whole
Externí odkaz:
https://doaj.org/article/0720ebfef4374a3d981cb2d875066c2e
Publikováno v:
Frontiers in Robotics and AI, Vol 9 (2022)
Externí odkaz:
https://doaj.org/article/150d4e814b6c401c94d2f18d84e0b45f
Autor:
Heather E. Williams, Craig S. Chapman, Patrick M. Pilarski, Albert H. Vette, Jacqueline S. Hebert
Publikováno v:
Journal of NeuroEngineering and Rehabilitation, Vol 18, Iss 1, Pp 1-15 (2021)
Abstract Background Research studies on upper limb prosthesis function often rely on the use of simulated myoelectric prostheses (attached to and operated by individuals with intact limbs), primarily to increase participant sample size. However, it i
Externí odkaz:
https://doaj.org/article/5f4ca133c61d44ab955d751a0ac9d29d
Publikováno v:
Frontiers in Artificial Intelligence, Vol 5 (2022)
Within computational reinforcement learning, a growing body of work seeks to express an agent's knowledge of its world through large collections of predictions. While systems that encode predictions as General Value Functions (GVFs) have seen numerou
Externí odkaz:
https://doaj.org/article/f5042581846240bab61fe6757fbfcb42
Autor:
Dammika P. Manage, Jana Lauzon, Christina M. Jones, Patrick J. Ward, Linda M. Pilarski, Patrick M. Pilarski, Lynn M. McMullen
Publikováno v:
BMC Microbiology, Vol 19, Iss 1, Pp 1-11 (2019)
Abstract Background Over a one year period, swabs of 820 beef carcasses were tested for the presence of Shiga toxin-producing Escherichia coli by performing Polymerase Chain Reaction (PCR) in a novel technology termed “cassette PCR”, in compariso
Externí odkaz:
https://doaj.org/article/7e408ecd19fc4fe3bd886ce883e8fe4f
Publikováno v:
BMC Microbiology, Vol 19, Iss 1, Pp 1-11 (2019)
Abstract Background Fast molecular detection methods benefit from ready-to-run lab-on-a-chip molecular assays with minimum preparation time. Detection efficiency of such methods can improve if multiple targets are detected simultaneously per given re
Externí odkaz:
https://doaj.org/article/f4688d359d9c4a48b2720dfe2bb3240f
Publikováno v:
Annual Review of Control, Robotics, and Autonomous Systems. 6:205-232
Early research on physical human–robot interaction (pHRI) has necessarily focused on device design—the creation of compliant and sensorized hardware, such as exoskeletons, prostheses, and robot arms, that enables people to safely come in contact
Autor:
Jonathon S. Schofield, Marcus A. Battraw, Adam S. R. Parker, Patrick M. Pilarski, Jonathon W. Sensinger, Paul D. Marasco
Publikováno v:
Frontiers in Neurorobotics, Vol 15 (2021)
During every waking moment, we must engage with our environments, the people around us, the tools we use, and even our own bodies to perform actions and achieve our intentions. There is a spectrum of control that we have over our surroundings that sp
Externí odkaz:
https://doaj.org/article/c40b2ed4277d42dba50a5223af3dfd9c
Publikováno v:
Micromachines, Vol 12, Iss 8, p 959 (2021)
Detection sensitivity of cassette PCR was compared with a commercial BAX® PCR system for detection of eae and stx genes in Escherichia coli from 806 beef carcass swabs. Cassette PCR detects multiple genetic markers on multiple samples using PCR and
Externí odkaz:
https://doaj.org/article/ba0b9d8147864164ab32d866c45a4f5c