Zobrazeno 1 - 10
of 551 764
pro vyhledávání: '"A Nathan"'
Publikováno v:
PLoS ONE, Vol 19, Iss 8, p e0308914 (2024)
Recently, research has investigated the role of the ruminant native microbiome, and the role microbes play in methane (CH4) production and mitigation. However, the variation across microbiome studies makes implementing impactful strategies difficult.
Externí odkaz:
https://doaj.org/article/a192a9c56a3446ba93d7bdd9cb5e6988
Autor:
Mo, Geoffrey, De, Kishalay, Wiston, Eli, J., Nayana A., Margutti, Raffaella, Frostig, Danielle, Sollerman, Jesper, Sharma, Yashvi, Moriya, Takashi J., Burdge, Kevin B., Jencson, Jacob, Karambelkar, Viraj R., Lourie, Nathan P.
Type Ia supernovae arise from the thermonuclear explosions of white dwarfs in multiple star systems. A rare sub-class of SNe Ia exhibit signatures of interaction with circumstellar material (CSM), allowing for direct constraints on companion material
Externí odkaz:
http://arxiv.org/abs/2410.14644
Autor:
Di Vaira, Nathan J., Laniewski-Wollk, Lukasz, Johnson Jr., Raymond L., Aminossadati, Saiied M., Leonardi, Christopher R.
This work is the first computational study of proppant leak-off through coal cleats that accounts for proppant retention in cleats, occlusion formation at cleat entrances, the resulting control of fluid leak-off, and the influence of realistic cleat
Externí odkaz:
http://arxiv.org/abs/2410.14160
Autor:
Zhang, Boyuan, Fang, Bo, Ye, Fanjiang, Gu, Yida, Tallent, Nathan, Tan, Guangming, Tao, Dingwen
Full-state quantum circuit simulation requires exponentially increased memory size to store the state vector as the number of qubits scales, presenting significant limitations in classical computing systems. Our paper introduces BMQSim, a novel state
Externí odkaz:
http://arxiv.org/abs/2410.14088
Analysis of pre-explosion imaging has confirmed red supergiants (RSGs) as the progenitors to Type II-P supernovae (SNe). However, extracting the RSG's luminosity requires assumptions regarding the star's temperature or spectral type and the correspon
Externí odkaz:
http://arxiv.org/abs/2410.14027
Autor:
Liu, Yijing, Yang, Christopher, Gaertner, Gabriel, Huckabee, John, Suslov, Alexey V., Refael, Gil, Nathan, Frederik, Lewandowski, Cyprian, Torres, Luis E. F. Foa, Esin, Iliya, Barbara, Paola, Kalugin, Nikolai G.
Light-induced phenomena in materials can exhibit exotic behavior that extends beyond equilibrium properties, offering new avenues for understanding and controlling electronic phases. So far, non-equilibrium phenomena in solids have been predominantly
Externí odkaz:
http://arxiv.org/abs/2410.13930
Autor:
Gascoigne, Sarah J., Vila-Vidal, Manel, Evans, Nathan, Da Silva, Anderson Brito, Thomas, Rhys H., Thornton, Christopher, Wilson, Kevin, Taylor, Peter N., Tauste, Adrià, Wang, Yujiang
During clinical treatment for epilepsy, the area of the brain thought to be responsible for pathological activity - known as the Seizure Onset Zone (SOZ) - is identified. This is typically performed through visual assessment of EEG recordings; howeve
Externí odkaz:
http://arxiv.org/abs/2410.13466
Autor:
Zheng, Liangwei Nathan, Dong, Chang George, Zhang, Wei Emma, Yue, Lin, Xu, Miao, Maennel, Olaf, Chen, Weitong
Large Language Models have demonstrated impressive performance in many pivotal web applications such as sensor data analysis. However, since LLMs are not designed for time series tasks, simpler models like linear regressions can often achieve compara
Externí odkaz:
http://arxiv.org/abs/2410.12326
Autor:
Zheng, Liangwei Nathan, Li, Zhengyang, Dong, Chang George, Zhang, Wei Emma, Yue, Lin, Xu, Miao, Maennel, Olaf, Chen, Weitong
Irregular Time Series Data (IRTS) has shown increasing prevalence in real-world applications. We observed that IRTS can be divided into two specialized types: Natural Irregular Time Series (NIRTS) and Accidental Irregular Time Series (AIRTS). Various
Externí odkaz:
http://arxiv.org/abs/2410.12257
Autor:
Zheng, Liangwei Nathan, Dong, Chang George, Zhang, Wei Emma, Chen, Xin, Yue, Lin, Chen, Weitong
Drug-drug interaction (DDI) identification is a crucial aspect of pharmacology research. There are many DDI types (hundreds), and they are not evenly distributed with equal chance to occur. Some of the rarely occurred DDI types are often high risk an
Externí odkaz:
http://arxiv.org/abs/2410.12249