Zobrazeno 1 - 10
of 67 705
pro vyhledávání: '"A P, May"'
Autor:
Davenport, Brian, Kempton, Eliza M. -R., Nixon, Matthew C., Ih, Jegug, Deming, Drake, Fu, Guangwei, May, E. M., Bean, Jacob L., Gao, Peter, Rogers, Leslie, Malik, Matej
Common features of sub-Neptunes atmospheres observed to date include signatures of aerosols at moderate equilibrium temperatures (~500-800 K), and a prevalence of high mean molecular weight atmospheres, perhaps indicating novel classes of planets suc
Externí odkaz:
http://arxiv.org/abs/2501.01498
Autor:
Dawood, Moez, Heavner, Ben, Wheeler, Marsha M., Ungar, Rachel A., LoTempio, Jonathan, Wiel, Laurens, Berger, Seth, Bernstein, Jonathan A., Chong, Jessica X., Délot, Emmanuèle C., Eichler, Evan E., Gibbs, Richard A., Lupski, James R., Shojaie, Ali, Talkowski, Michael E., Wagner, Alex H., Wei, Chia-Lin, Wellington, Christopher, Wheeler, Matthew T., Members, GREGoR Partner, Carvalho, Claudia M. B., Gifford, Casey A., May, Susanne, Miller, Danny E., Rehm, Heidi L., Sedlazeck, Fritz J., Vilain, Eric, O'Donnell-Luria, Anne, Posey, Jennifer E., Chadwick, Lisa H., Bamshad, Michael J., Montgomery, Stephen B., Diseases, Genomics Research to Elucidate the Genetics of Rare, Consortium
Rare diseases are collectively common, affecting approximately one in twenty individuals worldwide. In recent years, rapid progress has been made in rare disease diagnostics due to advances in DNA sequencing, development of new computational and expe
Externí odkaz:
http://arxiv.org/abs/2412.14338
Autor:
Duraz, Jules, Souissi, Hassen, Gromovyi, Maksym, Troadec, David, Baptiste, Teo, Findling, Nathaniel, Vuong, Phuong, Gujrati, Rajat, Tran, Thi May, Salvestrini, Jean Paul, Tchernycheva, Maria, Sundaram, Suresh, Ougazzaden, Abdallah, Patriarche, Gilles, Bouchoule, Sophie
The Ni-Au-Ga interdiffusion mechanisms taking place during rapid thermal annealing (RTA) under oxygen atmosphere of a Ni-Au/p-GaN contact are investigated by high-resolution transmission electron microscopy (HR-TEM) coupled to energy dispersive X-ray
Externí odkaz:
http://arxiv.org/abs/2412.11887
Autor:
Sela, May, Solomon, Jake P.
We define a normed matrix factorization category and a notion of bounding cochains for objects of this category. We classify bounding cochains up to gauge equivalence for spherical objects and use this classification to define numerical invariants. T
Externí odkaz:
http://arxiv.org/abs/2412.04437
Autor:
Louie, Dana R., Mullens, Elijah, Alderson, Lili, Glidden, Ana, Lewis, Nikole K., Wakeford, Hannah R., Batalha, Natasha E., Colón, Knicole D., Gressier, Amélie, Long, Douglas, Radica, Michael, Espinoza, Néstor, Goyal, Jayesh, MacDonald, Ryan J., May, Erin M., Seager, Sara, Stevenson, Kevin B., Valenti, Jeff A., Allen, Natalie H., Cañas, Caleb I., Challener, Ryan C., Grant, David, Huang, Jingcheng, Lin, Zifan, Valentine, Daniel, Perrin, Marshall, Pueyo, Laurent, van der Marel, Roeland P.
Water has proven to be ubiquitously detected in near-infrared (NIR) transmission spectroscopy observations of hot Jupiter atmospheres, including WASP-17b. However, previous analyses of WASP-17b's atmosphere based upon Hubble Space Telescope (HST) and
Externí odkaz:
http://arxiv.org/abs/2412.03675
This paper introduces SmartBSP, an advanced self-supervised learning framework for real-time path planning and obstacle avoidance in autonomous robotics navigating through complex environments. The proposed system integrates Proximal Policy Optimizat
Externí odkaz:
http://arxiv.org/abs/2412.02176
As events progress, news articles often update with new information: if we are not cautious, we risk propagating outdated facts. In this work, we hypothesize that linguistic features indicate factual fluidity, and that we can predict which facts in a
Externí odkaz:
http://arxiv.org/abs/2411.18811
Data-Free Knowledge Distillation (DFKD) is an advanced technique that enables knowledge transfer from a teacher model to a student model without relying on original training data. While DFKD methods have achieved success on smaller datasets like CIFA
Externí odkaz:
http://arxiv.org/abs/2411.17046
Incorporating artificial intelligence (AI) into digital pathology offers promising prospects for automating and enhancing tasks such as image analysis and diagnostic processes. However, the diversity of tissue samples and the necessity for meticulous
Externí odkaz:
http://arxiv.org/abs/2411.16515
Large Language Models (LLMs) have demonstrated impressive capabilities in generating coherent text but often struggle with grounding language and strategic dialogue. To address this gap, we focus on journalistic interviews, a domain rich in grounding
Externí odkaz:
http://arxiv.org/abs/2411.13779