Zobrazeno 1 - 10
of 1 722
pro vyhledávání: '"P. Machi"'
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:
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
Autor:
Jacqueline F. Machi, Isabella Altilio, Yue Qi, Alejo A. Morales, Diego H. Silvestre, Diana R. Hernandez, Nicolas Da Costa-Santos, Aline G. Santana, Mehrnoosh Neghabi, Parisa Nategh, Thiago L. Castro, João P. Werneck-de-Castro, Mahsa Ranji, Fabiana S. Evangelista, Roberto I. Vazquez-Padron, Ernesto Bernal-Mizrachi, Claudia O. Rodrigues
Publikováno v:
Frontiers in Cell and Developmental Biology, Vol 12 (2024)
Introduction: Obesity is a major risk factor associated with multiple pathological conditions including diabetes and cardiovascular disease. Endothelial dysfunction is an early predictor of obesity. However, little is known regarding how early endoth
Externí odkaz:
https://doaj.org/article/70b92df7ee8c4458b29ae8f173c4258e
Publikováno v:
Results in Chemistry, Vol 8, Iss , Pp 101564- (2024)
We investigated the asymmetric reduction of β-keto esters using aquatic plants as whole-cell biocatalysts under darkness and illumination by fluorescent light. The (S)- β-hydroxy esters were obtained with high enantiomeric excess (ee) values. Regar
Externí odkaz:
https://doaj.org/article/25131a48ff9c402aab8c879438e1cf36
Autor:
Machi Suka, Takashi Shimazaki
Publikováno v:
Archives of Public Health, Vol 81, Iss 1, Pp 1-11 (2023)
Abstract Background Public health professionals have prepared and distributed many messages and materials to convince the public to adopt healthy behaviors or reduce risky behaviors. However, health promotion materials do not always have the desired
Externí odkaz:
https://doaj.org/article/928612ad702f41a8b70f86a7c7cd6f5f
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:
Sung-Mok Jung, Sara L Loo, Emily Howerton, Lucie Contamin, Claire P Smith, Erica C Carcelén, Katie Yan, Samantha J Bents, John Levander, Jessi Espino, Joseph C Lemaitre, Koji Sato, Clifton D McKee, Alison L Hill, Matteo Chinazzi, Jessica T Davis, Kunpeng Mu, Alessandro Vespignani, Erik T Rosenstrom, Sebastian A Rodriguez-Cartes, Julie S Ivy, Maria E Mayorga, Julie L Swann, Guido España, Sean Cavany, Sean M Moore, T Alex Perkins, Shi Chen, Rajib Paul, Daniel Janies, Jean-Claude Thill, Ajitesh Srivastava, Majd Al Aawar, Kaiming Bi, Shraddha Ramdas Bandekar, Anass Bouchnita, Spencer J Fox, Lauren Ancel Meyers, Przemyslaw Porebski, Srini Venkatramanan, Aniruddha Adiga, Benjamin Hurt, Brian Klahn, Joseph Outten, Jiangzhuo Chen, Henning Mortveit, Amanda Wilson, Stefan Hoops, Parantapa Bhattacharya, Dustin Machi, Anil Vullikanti, Bryan Lewis, Madhav Marathe, Harry Hochheiser, Michael C Runge, Katriona Shea, Shaun Truelove, Cécile Viboud, Justin Lessler
Publikováno v:
PLoS Medicine, Vol 21, Iss 4, p e1004387 (2024)
BackgroundCoronavirus Disease 2019 (COVID-19) continues to cause significant hospitalizations and deaths in the United States. Its continued burden and the impact of annually reformulated vaccines remain unclear. Here, we present projections of COVID
Externí odkaz:
https://doaj.org/article/f7a01a06e8a543d79ce8eb85263d9b4f
Autor:
Emily Howerton, Lucie Contamin, Luke C. Mullany, Michelle Qin, Nicholas G. Reich, Samantha Bents, Rebecca K. Borchering, Sung-mok Jung, Sara L. Loo, Claire P. Smith, John Levander, Jessica Kerr, J. Espino, Willem G. van Panhuis, Harry Hochheiser, Marta Galanti, Teresa Yamana, Sen Pei, Jeffrey Shaman, Kaitlin Rainwater-Lovett, Matt Kinsey, Kate Tallaksen, Shelby Wilson, Lauren Shin, Joseph C. Lemaitre, Joshua Kaminsky, Juan Dent Hulse, Elizabeth C. Lee, Clifton D. McKee, Alison Hill, Dean Karlen, Matteo Chinazzi, Jessica T. Davis, Kunpeng Mu, Xinyue Xiong, Ana Pastore y Piontti, Alessandro Vespignani, Erik T. Rosenstrom, Julie S. Ivy, Maria E. Mayorga, Julie L. Swann, Guido España, Sean Cavany, Sean Moore, Alex Perkins, Thomas Hladish, Alexander Pillai, Kok Ben Toh, Ira Longini, Shi Chen, Rajib Paul, Daniel Janies, Jean-Claude Thill, Anass Bouchnita, Kaiming Bi, Michael Lachmann, Spencer J. Fox, Lauren Ancel Meyers, Ajitesh Srivastava, Przemyslaw Porebski, Srini Venkatramanan, Aniruddha Adiga, Bryan Lewis, Brian Klahn, Joseph Outten, Benjamin Hurt, Jiangzhuo Chen, Henning Mortveit, Amanda Wilson, Madhav Marathe, Stefan Hoops, Parantapa Bhattacharya, Dustin Machi, Betsy L. Cadwell, Jessica M. Healy, Rachel B. Slayton, Michael A. Johansson, Matthew Biggerstaff, Shaun Truelove, Michael C. Runge, Katriona Shea, Cécile Viboud, Justin Lessler
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-15 (2023)
Abstract Our ability to forecast epidemics far into the future is constrained by the many complexities of disease systems. Realistic longer-term projections may, however, be possible under well-defined scenarios that specify the future state of criti
Externí odkaz:
https://doaj.org/article/5d876a0b4405426fa09f24425e85da39
Autor:
Toshiki Futakuchi, Akira Dobashi, Hideka Horiuchi, Hiroto Furuhashi, Hiroaki Matsui, Yuko Hara, Masakuni Kobayashi, Shingo Ono, Naoto Tamai, Kazutaka Gomisawa, Takashi Yamauchi, Machi Suka, Kazuki Sumiyama
Publikováno v:
BMC Gastroenterology, Vol 23, Iss 1, Pp 1-9 (2023)
Abstract Background Texture and color enhancement imaging (TXI) enhances the changes in endoscopic features caused by gastric neoplasms, such as redness/whiteness and elevation/depression. This study aimed to demonstrate the effectiveness of TXI in i
Externí odkaz:
https://doaj.org/article/b1169da7d980479696355e2e3b5a7074