Zobrazeno 1 - 10
of 5 400
pro vyhledávání: '"A, Machi"'
Guidewire segmentation during endovascular interventions holds the potential to significantly enhance procedural accuracy, improving visualization and providing critical feedback that can support both physicians and robotic systems in navigating comp
Externí odkaz:
http://arxiv.org/abs/2410.07460
The extreme multi-label classification~(XMC) task involves learning a classifier that can predict from a large label set the most relevant subset of labels for a data instance. While deep neural networks~(DNNs) have demonstrated remarkable success in
Externí odkaz:
http://arxiv.org/abs/2407.05656
In this paper, we explore the potential of Large Language Models (LLMs) with assertions to mitigate imbalances in educational datasets. Traditional models often fall short in such contexts, particularly due to the complexity and nuanced nature of the
Externí odkaz:
http://arxiv.org/abs/2407.01551
Autor:
Sonoka Uchida, Rie Fukuhara, Machi Yokoyama, Asami Akaishi, Kaori Iino, Megumi Yokota, Yoshihito Yokoyama
Publikováno v:
BMC Pregnancy and Childbirth, Vol 24, Iss 1, Pp 1-7 (2024)
Abstract Background Recently, a history of endometriosis has been reported to be associated with several perinatal complications. However, it is unknown whether pre-pregnancy treatment for endometriosis reduces perinatal complications. In this study,
Externí odkaz:
https://doaj.org/article/8f97ba330d5f4c998db3f87ce5ed5ce0
Autor:
Machi Suka, Hiroyuki Yanagisawa, Nobuhiro Sato, Shigetaka Shimodaira, Masayuki Saruta, Shigeo Koido, Junichi Taguchi, Masamori Shimabuku, Shin Kan, Tuuse Bito, Takeyuki Misawa, Zensho Ito, Kan Uchiyama, Shintaro Tsukinaga, Toshifumi Ohkusa, Haruo Sugiyama
Publikováno v:
Journal for ImmunoTherapy of Cancer, Vol 12, Iss 10 (2024)
Background We aimed to develop a chemoimmunotherapy regimen consisting of a novel Wilms’ tumor 1 (WT1) peptide-pulsed dendritic cell (WT1-DC) vaccine and multiagent chemotherapy and to investigate the safety, clinical outcomes, and WT1-specific imm
Externí odkaz:
https://doaj.org/article/3756c5f4da2747fd83b90f8049ea096a
Publikováno v:
Journal of Advanced Mechanical Design, Systems, and Manufacturing, Vol 18, Iss 5, Pp JAMDSM0066-JAMDSM0066 (2024)
This study investigates deposition of different aluminum alloys and the influence of added elements on their mechanical properties. Focusing on wire and arc additive manufacturing (WAAM), this study aimed to address the constraints of conventional fa
Externí odkaz:
https://doaj.org/article/c85f1d0f4f8f4d74808b7511025f072a
Publikováno v:
i-Perception, Vol 15 (2024)
The spread of COVID-19 has drastically increased the number of people wearing masks in public areas and the opportunities to evaluate others’ faces based on limited information. This study investigates the cognitive bias in judging the attractivene
Externí odkaz:
https://doaj.org/article/e9e62de43dde413fbd415bc23ef89e1b
Publikováno v:
SoftwareX, Vol 27, Iss , Pp 101797- (2024)
This paper introduces MorphoGen — an integrated reliability-based topology optimization and nonlinear finite element analysis system for 2D and 3D domains. The system’s key innovation is its seamless prototyping of scientific formulations for com
Externí odkaz:
https://doaj.org/article/b235362a4bf94b5dbd8a761fee777a3b
Autor:
Jiangzhuo Chen, Parantapa Bhattacharya, Stefan Hoops, Dustin Machi, Abhijin Adiga, Henning Mortveit, Srinivasan Venkatramanan, Bryan Lewis, Madhav Marathe
Publikováno v:
Epidemics, Vol 48, Iss , Pp 100779- (2024)
UVA-EpiHiper is a national scale agent-based model to support the US COVID-19 Scenario Modeling Hub (SMH). UVA-EpiHiper uses a detailed representation of the underlying social contact network along with data measured during the course of the pandemic
Externí odkaz:
https://doaj.org/article/5b69991744f2410793127f5464e037aa
Autor:
Kayoko Kamemoto, Yusei Tataka, Ayano Hiratsu, Chihiro Nagayama, Yuka Hamada, Koji Kurata, Michiko Chiyoda, Machi Ito, Masashi Miyashita
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-9 (2024)
Abstract Although thorough chewing lowers postprandial glucose concentrations, research on the effectiveness of chewing vegetables in different forms on postprandial glucose metabolism remains limited. This study examined the effects of vegetables co
Externí odkaz:
https://doaj.org/article/e65541da6959431eb46d617d63310a4c