Zobrazeno 1 - 10
of 1 670
pro vyhledávání: '"Mahesh Kumar P"'
Publikováno v:
Current Oncology, Vol 30, Iss 10, Pp 9244-9261 (2023)
Gastroenteropancreatic neuroendocrine tumors (GEP-NETs) account for 80% of gastroenteropancreatic neuroendocrine neoplasms (GEP-NENs). GEP-NETs are well-differentiated tumors, highly heterogeneous in biology and origin, and are often diagnosed at the
Externí odkaz:
https://doaj.org/article/deaf3f274dd34208a4020292b7f2cfce
Publikováno v:
Cells, Vol 13, Iss 14, p 1221 (2024)
The KRAS mutation stands out as one of the most influential oncogenic mutations, which directly regulates the hallmark features of cancer and interacts with other cancer-causing driver mutations. However, there remains a lack of precise information o
Externí odkaz:
https://doaj.org/article/a339f13765684304bcf4c718c4df09ac
Publikováno v:
Health Sciences Review, Vol 7, Iss , Pp 100099- (2023)
Background: COVID-19 is affecting all kinds of patients including diabetics. This article provides an overview of conducted meta-analyses regarding the effect of diabetes on the deaths of COVID-19 patients. Methodology: The study was conducted as per
Externí odkaz:
https://doaj.org/article/e07ffd457dd94897a78da897a8b93986
Diffusion Transformers (DiT) have emerged as powerful generative models for various tasks, including image, video, and speech synthesis. However, their inference process remains computationally expensive due to the repeated evaluation of resource-int
Externí odkaz:
http://arxiv.org/abs/2411.10510
Excitable systems can exhibit a variety of dynamics with different complexity, ranging from a single, stable spiral to spiral defect chaos (SDC), during which spiral waves are continuously formed and destroyed. The corresponding reaction-diffusion mo
Externí odkaz:
http://arxiv.org/abs/2409.00278
Toxicity classification for voice heavily relies on the semantic content of speech. We propose a novel framework that utilizes cross-modal learning to integrate the semantic embedding of text into a multilabel speech toxicity classifier during traini
Externí odkaz:
http://arxiv.org/abs/2406.10325
Autor:
Hirschkind, Nameer, Yu, Xiao, Nandwana, Mahesh Kumar, Liu, Joseph, DuBois, Eloi, Le, Dao, Thiebaut, Nicolas, Sinclair, Colin, Spence, Kyle, Shang, Charles, Abrams, Zoe, McGuire, Morgan
We introduce DiffuseST, a low-latency, direct speech-to-speech translation system capable of preserving the input speaker's voice zero-shot while translating from multiple source languages into English. We experiment with the synthesizer component of
Externí odkaz:
http://arxiv.org/abs/2406.10223
Publikováno v:
Journal of Applied and Computational Mechanics, Vol 11, Iss 1, Pp 160-172 (2025)
This study investigates two-dimensional viscous incompressible boundary layer flow involving mass transfer above an uninterrupted flat surface in the presence of chemical reaction. Applicable similarity transformations, transform the leading equation
Externí odkaz:
https://doaj.org/article/a92906325eb44290a12e6d634cb3bbe7
Publikováno v:
Proceedings on Engineering Sciences, Vol 6, Iss 4, Pp 1575-1584 (2024)
Supply chain operations go well when demand is stable, but when demand fluctuates, the chain's behavior becomes unbalanced and its participants may face risks to their financial well-being. Demand rate fluctuations are referred to as having an imprec
Externí odkaz:
https://doaj.org/article/1c6dded1d6494217a37d93dd18d16af4
Autor:
Madhvi Sharma, Amanpreet K. Sidhu, Mahesh Kumar Samota, Priya Shah, Manish K. Pandey, Sunil S. Gangurde
Publikováno v:
Discover Agriculture, Vol 2, Iss 1, Pp 1-31 (2024)
Abstract Soil salinity is a major threat to global agriculture, limiting plant growth and lowering crop yields. Recent advances in CRISPR/Cas9 genome editing technology provide unprecedented precision and efficiency for addressing these challenges by
Externí odkaz:
https://doaj.org/article/d029884e130a416ba943bf6ab4ccb6ce