Zobrazeno 1 - 10
of 67 224
pro vyhledávání: '"Baran A."'
Autor:
Ting-Yu Lin, Shakti Ramsamooj, Tiffany Perrier, Katarina Liberatore, Louise Lantier, Neil Vasan, Kannan Karukurichi, Seo-Kyoung Hwang, Edward A. Kesicki, Edward R. Kastenhuber, Thorsten Wiederhold, Tomer M. Yaron, Emily M. Huntsman, Mengmeng Zhu, Yilun Ma, Marcia N. Paddock, Guoan Zhang, Benjamin D. Hopkins, Owen McGuinness, Robert E. Schwartz, Baran A. Ersoy, Lewis C. Cantley, Jared L. Johnson, Marcus D. Goncalves
Publikováno v:
Cell Reports, Vol 42, Iss 12, Pp 113535- (2023)
Summary: The phosphoinositide 3-kinase p110α is an essential mediator of insulin signaling and glucose homeostasis. We interrogated the human serine, threonine, and tyrosine kinome to search for novel regulators of p110α and found that the Hippo ki
Externí odkaz:
https://doaj.org/article/a5e7df93b0a7464587f421f871a959bf
Publikováno v:
Journal of Mining and Metallurgy. Section B: Metallurgy, Vol 59, Iss 2, Pp 183-193 (2023)
A drop calorimetry method was used to measure the partial and integral mixing enthalpies of Ag-Mg-Pd liquid solutions. The experiments were performed for six separate series of liquid alloys starting from the binary alloys with constant xAg/xMg ratio
Externí odkaz:
https://doaj.org/article/652a1d1b597747c48b9302ca6196b970
Molecular arrangement in the chiral smectic phases of the glassforming (S)-4'-(1-methylheptylcarbonyl)biphenyl-4-yl 4-[7-(2,2,3,3,4,4,4-heptafluorobutoxy) heptyl-1-oxy]benzoate is investigated by X-ray diffraction. An increased correlation length of
Externí odkaz:
http://arxiv.org/abs/2409.08654
Convolutional Neural Networks (CNNs) have made remarkable strides; however, they remain susceptible to vulnerabilities, particularly in the face of minor image perturbations that humans can easily recognize. This weakness, often termed as 'attacks',
Externí odkaz:
http://arxiv.org/abs/2409.03458
Publikováno v:
Proc. SPIE, 2024, 13097, Adaptive Optics Systems IX, 1309776
We present the Python pipeline that was developed to simulate the high contrast mode images of the MICADO instrument. This mode will comprise three classical Lyot coronagraphs with different occulting spot sizes, one vector apodized phase plate, and
Externí odkaz:
http://arxiv.org/abs/2408.17123
How can Transformers model and learn enumerative geometry? What is a robust procedure for using Transformers in abductive knowledge discovery within a mathematician-machine collaboration? In this work, we introduce a new paradigm in computational enu
Externí odkaz:
http://arxiv.org/abs/2408.14915
Autor:
Riedel, Evamaria O., de la Rosa, Ezequiel, Baran, The Anh, Petzsche, Moritz Hernandez, Baazaoui, Hakim, Yang, Kaiyuan, Robben, David, Seia, Joaquin Oscar, Wiest, Roland, Reyes, Mauricio, Su, Ruisheng, Zimmer, Claus, Boeckh-Behrens, Tobias, Berndt, Maria, Menze, Bjoern, Wiestler, Benedikt, Wegener, Susanne, Kirschke, Jan S.
Stroke remains a leading cause of global morbidity and mortality, placing a heavy socioeconomic burden. Over the past decade, advances in endovascular reperfusion therapy and the use of CT and MRI imaging for treatment guidance have significantly imp
Externí odkaz:
http://arxiv.org/abs/2408.11142
We present a study of the scattering of a monochromatic helical laser beam, described by a Laguerre-Gauss solution of the Maxwell equations, on an electron sheet, initially at rest in the focal plane of the laser; the interaction is described in the
Externí odkaz:
http://arxiv.org/abs/2408.04412
Autor:
Dadgar, M., Parzych, S., Ardebili, F. Tayefi, Baran, J., Chug, N., Curceanu, C., Czerwinski, E., Dulski, K., Eliyan, K., Gajos, A., Hiesmayr, B. C., Kacprzak, K., Kaplon, L., Klimaszewski, K., Konieczka, P., Korcyl, G., Kozik, T., Krzemien, W., Kumar, D., Niedzwiecki, S., Panek, D., del Rio, E. Perez, Raczynski, L., Sharma, S., Shivani, Shopa, R. Y., Skurzok, M., Ardebili, K. Tayefi, Vandenberghe, S., Wislicki, W., Stepien, E., Moskal, P.
The growing interest in human-grade total body positron emission tomography (PET) systems has also application in small animal research. Due to the existing limitations in human-based studies involving drug development and novel treatment monitoring,
Externí odkaz:
http://arxiv.org/abs/2408.00574
Due to their inherent capabilities of capturing non-local dependencies, Transformer neural networks have quickly been established as the paradigmatic architecture for large language models and image processing. Next to these traditional applications,
Externí odkaz:
http://arxiv.org/abs/2407.21502