Zobrazeno 1 - 10
of 6 000
pro vyhledávání: '"Nigel, H"'
Autor:
Zhu, Kefan, Sharma, Bibhu, Phan, Phuoc Thien, Davies, James, Thai, Mai Thanh, Hoang, Trung Thien, Nguyen, Chi Cong, Ji, Adrienne, Nicotra, Emanuele, Lovell, Nigel H., Do, Thanh Nho
Work related musculoskeletal disorders (WMSDs) are often caused by repetitive lifting, making them a significant concern in occupational health. Although wearable assist devices have become the norm for mitigating the risk of back pain, most spinal a
Externí odkaz:
http://arxiv.org/abs/2402.02319
Transfer learning for Bayesian optimisation has generally assumed a strong similarity between optimisation tasks, with at least a subset having similar optimal inputs. This assumption can reduce computational costs, but it is violated in a wide range
Externí odkaz:
http://arxiv.org/abs/2311.14653
Bayesian optimisation is a powerful method for optimising black-box functions, popular in settings where the true function is expensive to evaluate and no gradient information is available. Bayesian optimisation can improve responses to many optimisa
Externí odkaz:
http://arxiv.org/abs/2306.04343
Autor:
Alicia Bedolla, Elliot Wegman, Max Weed, Messiyah K. Stevens, Kierra Ware, Aditi Paranjpe, Anastasia Alkhimovitch, Igal Ifergan, Aleksandr Taranov, Joshua D. Peter, Rosa Maria Salazar Gonzalez, J. Elliott Robinson, Lucas McClain, Krishna M. Roskin, Nigel H. Greig, Yu Luo
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-25 (2024)
Abstract While TGF-β signaling is essential for microglial function, the cellular source of TGF-β1 ligand and its spatial regulation remains unclear in the adult CNS. Our data supports that microglia but not astrocytes or neurons are the primary pr
Externí odkaz:
https://doaj.org/article/da033bed56594665960700b6c6a95a25
Autor:
Fetanat, Masoud, Stevens, Michael, Jain, Pankaj, Hayward, Christopher, Meijering, Erik, Lovell, Nigel H.
Publikováno v:
IEEE Transactions on Biomedical Engineering, 2022
Heart failure (HF) is one of the most prevalent life-threatening cardiovascular diseases in which 6.5 million people are suffering in the USA and more than 23 million worldwide. Mechanical circulatory support of HF patients can be achieved by implant
Externí odkaz:
http://arxiv.org/abs/2301.07710
Autor:
Miaad Bader, Yazhou Li, Daniela Lecca, Vardit Rubovitch, David Tweedie, Elliot Glotfelty, Lital Rachmany, Hee Kyung Kim, Ho-Il Choi, Barry J. Hoffer, Chaim G. Pick, Nigel H. Greig, Dong Seok Kim
Publikováno v:
Neurobiology of Disease, Vol 199, Iss , Pp 106563- (2024)
Externí odkaz:
https://doaj.org/article/4a8fdaad6d87422b91427c0a069d7f0b
Autor:
Jeremy L. Pinyon, Georg vonJonquieres, Edward N. Crawford, Amr Al Abed, John M. Power, Matthias Klugmann, Cherylea J. Browne, David M. Housley, Andrew K. Wise, James B. Fallon, Robert K. Shepherd, John Y. Lin, Catherine McMahon, David McAlpine, Catherine S. Birman, Waikong Lai, Ya Lang Enke, Paul M. Carter, James F. Patrick, Robert D. Gay, Corinne Marie, Daniel Scherman, Nigel H. Lovell, Gary D. Housley
Publikováno v:
Advanced Science, Vol 11, Iss 30, Pp n/a-n/a (2024)
Abstract Viral vectors and lipofection‐based gene therapies have dispersion‐dependent transduction/transfection profiles that thwart precise targeting. The study describes the development of focused close‐field gene electrotransfer (GET) techno
Externí odkaz:
https://doaj.org/article/1f120ece41dd42df991a8e5de27489c2
Autor:
Nasab, Roxana Zahedi, Ghamsari, Mohammad Reza Eftekhariyan, Argha, Ahmadreza, Macphillamy, Callum, Beheshti, Amin, Alizadehsani, Roohallah, Lovell, Nigel H., Lotfollahi, Mohammad, Alinejad-Rokny, Hamid
Spatially resolved transcriptomics (SRT) has evolved rapidly through various technologies, enabling scientists to investigate both morphological contexts and gene expression profiling at single-cell resolution in parallel. SRT data are complex and mu
Externí odkaz:
http://arxiv.org/abs/2210.04453
Recent advancements in Large Language Models (LLMs) harness linguistic associations in vast natural language data for practical applications. However, their ability to understand the physical world using only language data remains a question. After r
Externí odkaz:
http://arxiv.org/abs/2208.11981