Zobrazeno 1 - 10
of 7 396
pro vyhledávání: '"Oyamada, A"'
Open-Domain Multi-Document Summarization (ODMDS) is crucial for addressing diverse information needs, which aims to generate a summary as answer to user's query, synthesizing relevant content from multiple documents in a large collection. Existing ap
Externí odkaz:
http://arxiv.org/abs/2406.12494
Retrieval-augmented generation models augment knowledge encoded in a language model by providing additional relevant external knowledge (context) during generation. Although it has been shown that the quantity and quality of context impact the perfor
Externí odkaz:
http://arxiv.org/abs/2403.14197
This paper explores the utilization of LLMs for data preprocessing (DP), a crucial step in the data mining pipeline that transforms raw data into a clean format conducive to easy processing. Whereas the use of LLMs has sparked interest in devising un
Externí odkaz:
http://arxiv.org/abs/2312.01678
Large Language Models (LLMs), typified by OpenAI's GPT series and Meta's LLaMA variants, have marked a significant advancement in artificial intelligence. Trained on vast amounts of text data, LLMs are capable of understanding and generating human-li
Externí odkaz:
http://arxiv.org/abs/2308.16361
Publikováno v:
FEBS Open Bio, Vol 14, Iss 8, Pp 1291-1302 (2024)
Metal–tetrapyrrole cofactors are involved in multiple cellular functions, and chelatases are key enzymes for the biosynthesis of these cofactors. CfbA is an ancestral, homodimeric‐type class II chelatase which is able to use not only Ni2+ as a ph
Externí odkaz:
https://doaj.org/article/4f3fbea773474cb69a8c6bbd8336b8ba
Process simulation is gaining attention for its ability to assess potential performance improvements and risks associated with business process changes. The existing literature presents various techniques, generally grounded in process models discove
Externí odkaz:
http://arxiv.org/abs/2303.17879
Encoding methods are employed across several process mining tasks, including predictive process monitoring, anomalous case detection, trace clustering, etc. These methods are usually performed as preprocessing steps and are responsible for transformi
Externí odkaz:
http://arxiv.org/abs/2301.02167
Publikováno v:
VLDB2023
Due to the usefulness in data enrichment for data analysis tasks, joinable table discovery has become an important operation in data lake management. Existing approaches target equi-joins, the most common way of combining tables for creating a unifie
Externí odkaz:
http://arxiv.org/abs/2212.07588
Autor:
Rina Nabeta, Ami Kanaya, Kazumi Shimada, Katsuhiro Matsuura, Aritada Yoshimura, Tomohiro Oyamada, Daigo Azakami, Tetsuya Furuya, Tsuyoshi Uchide
Publikováno v:
Frontiers in Veterinary Science, Vol 11 (2024)
IntroductionCanine mesotheliomas are uncommon malignant tumors typically detected late. Minimally invasive diagnostic biomarkers would facilitate diagnosis at earlier stages, thereby improving clinical outcomes. We hypothesized that mesothelin could
Externí odkaz:
https://doaj.org/article/49045113f4bc40efabaa549c14f6329e
Autor:
Ei’ichi Iizasa, Haruki Iwai, Youki Oyamada, Kaori Hamashima, Ryusei Nishi, Koji Ataka, Haruka Amitani, Kousaku Ohinata, Ikuo Kato, Akihiro Asakawa
Publikováno v:
Journal of Functional Foods, Vol 119, Iss , Pp 106297- (2024)
Cancer cachexia, which encompasses a range of sickness behaviors such as anorexia, reduced locomotor activity, and depression, diminishes quality of life and increases mortality in cancer patients. Rubiscolin-6 is a hexapeptide derived from ribulose-
Externí odkaz:
https://doaj.org/article/8fff91c3357642b28c3274aa4d046728