Results 91 to 100 of about 622,803 (323)

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

Advanced Science, EarlyView.
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu, Mengtao Sun, Lusheng Li, Jieqiong Wang, Shibiao Wan   +4 more
wiley   +1 more source

Forecasting Root Rot Disease through Predictive Microbial Functional Profiling

Advanced Science, EarlyView.
Predicting soil‐borne disease moves beyond observation with a framework that elevates microbial functional genes into reliable forecasting biomarkers. By coupling targeted qPCR assays for core stress‐response genes with machine learning, this method detects root rot risks in pre‐symptomatic soils with over 80% accuracy.
Chuan You, Peng Ren, Ying Guan, Kai Gong, Zhen Hua, Wuxian Zhou, Xinlan Mei, Yikui Wang, Xiaofang Wang, Yangchun Xu, Qirong Shen, Zhong Wei   +11 more
wiley   +1 more source

The impact of MIREX on scholarly research (2005-2010) [PDF]

, 2012
This paper explores the impact of the MIREX (Music Information Retrieval Evaluation eXchange) evaluation initiative on scholarly research. Impact is assessed through a bibliometric evaluation of both the MIREX extended abstracts and the papers citing the
Bainbridge, David, Cunningham, Sally Jo, Downie, J. Stephen   +2 more
core  

Multimodal Wearable Biosensing Meets Multidomain AI: A Pathway to Decentralized Healthcare

Advanced Science, EarlyView.
Multimodal biosensing meets multidomain AI. Wearable biosensors capture complementary biochemical and physiological signals, while cross‐device, population‐aware learning aligns noisy, heterogeneous streams. This Review distills key sensing modalities, fusion and calibration strategies, and privacy‐preserving deployment pathways that transform ...
Chenshu Liu, Haolin Fan, Minwoo Kim, Tong Zhou, Pinyi Yang, Lingdi Zhao, Yiran Wang, Ziyuan Che, Chia‐Wei Liu, Bingbing Li, Yangzhi Zhu   +10 more
wiley   +1 more source

Collecting Typhoon Disaster Information from Twitter Based on Query Expansion

ISPRS International Journal of Geo-Information, 2018
Social media is a popular source of volunteered geographic information owing to its massive real-time data; however, the use of social media data in the context of geospatial analysis is challenging because complex semantic filters are required for the ...
Zi Chen, Samsung Lim
doaj   +1 more source

Technology Integration around the Geographic Information: A State of the Art [PDF]

, 2009
One of the elements that have popularized and facilitated the use of geographical information on a variety of computational applications has been the use of Web maps; this has opened new research challenges on different subjects, from locating places and
Gonzalez-Serna, Gabriel, Ponce-Medellin, Rafael, Ruiz, Lirio, Vargas, Rocio   +3 more
core   +1 more source

Foreign labor, peer‐networking and agricultural efficiency in the Italian dairy sector

Agribusiness, EarlyView.
Abstract While the presence of immigrants in the agricultural sector is widely acknowledged, the empirical evidence on its economic consequences is lacking, especially from a microeconomic perspective. Using the Farm Accountancy Data Network panel data for Italian dairy farms in the period 2008–2018, the present study investigates the relationship ...
Federico Antonioli, Simone Severini, Mauro Vigani   +2 more
wiley   +1 more source

Report of MIRACLE team for Geographical IR in CLEF 2006

, 2006
The main objective of the designed experiments is testing the effects of geographical information retrieval from documents that contain geographical tags.
González Cristóbal, José Carlos, Goñi Menoyo, José Miguel, Lana Serrano, Sara   +2 more
core  

Geographic Information Retrieval for Just Your Surroundings

Transactions of the Japanese Society for Artificial Intelligence, 2008
Geographic information retrieval (GIR) is a new research area that aims at the retrieval of geographic-related documents based not only on keyword relevance but also on geographic relationships between the query and the geographic information in texts. It is natural for people to want information related to just their surroundings.
Norihito YASUDA, Hiroyuki TODA
openaire   +2 more sources

Price Premiums for Single‐Name and Compound‐Name Geographical Indications in Swiss Cheese Trade

Agribusiness, EarlyView.
ABSTRACT Geographical indications (GIs) have become increasingly important in agri‐food markets, especially in Europe. For Swiss cheese imports and exports, we analyze whether GIs are associated with higher trade prices. We find that price premiums can be obtained for both exports and imports. However, this is only the case for cheeses with single name
Judith Irek
wiley   +1 more source