Results 51 to 60 of about 19,658 (258)

PancDS in Real‐World Practice: A Prospective Multicenter Validation of a Clinical Decision‐Support System Bridging Experience Gaps in Pancreatic Lesion Diagnosis

Advanced Science, EarlyView.
A biomimetic artificial intelligence system, PancDS, has been developed to distinguish pancreatic ductal adenocarcinoma from mass‐forming pancreatitis by adaptively integrating clinical data, radiomics, and deep learning features. Validated across multicenter, reader‐study, and prospective settings, PancDS improves diagnostic accuracy, particularly for
Zhibo Wang, Weinuo Qu, Wenwen Cai, Chuhuai Wang, Chenxi Lyu, Qingguo Xie, Qian Chu, Yaqi Shen, Peng Xiao, Feng Li, Qingpeng Zhang, Jiali Li, Jeong Min Lee, Zhen Li   +13 more
wiley   +1 more source

Understanding recession response by Twitter users: A text analysis approach

Heliyon
Towards the end of 2022, economists around the world predicted that the symptoms of global economic recession were imminent and would be inevitable in 2023.
Garcia Krisnando Nathanael
doaj   +1 more source

How information technologies shape investor sentiment: A web-based investor sentiment index

Borsa Istanbul Review, 2019
This paper proposes a new investor sentiment indicator that combines the use of principal component analysis with web searches. This proposal provides economic meaning to the underlying variables, a sound factor structure, and reduces the noise regarding
Juan José García Petit, Esther Vaquero Lafuente, Antonio Rúa Vieites   +2 more
doaj   +1 more source

Automated Extraction of Multicomponent Alloy Data Using Large Language Models for Sustainable Design

Advanced Science, EarlyView.
A large language model (LLM) based pipeline is developed to automatically extract a comprehensive and accurate multicomponent alloy database from literature corpus. The extracted dataset is integrated with sustainability indicators to identify potential alloys that outperform existing industrial benchmark materials in terms of both performance and ...
Aravindan Kamatchi Sundaram, Mohit Chakraborty, Sai Mani Kumar Devathi, B. Pabitramohan Prusty, Rohit Batra   +4 more
wiley   +1 more source

Advancing Fruit Bioimpedance Monitoring With Sustainable, Soft, And Bio‐Based Electrodes Beyond ECG

Advanced Electronic Materials, EarlyView.
Electrical impedance spectroscopy enables non‐destructive fruit quality monitoring, but conventional ECG and needle electrodes compromise signal stability, fruit physiology, and sustainability. This perspective highlights the transition toward soft, biocompatible, and biodegradable electrode interfaces based on natural substrates, bio‐derived ...
Sundus Riaz, Ahmed Rasheed, Angelo Zanella, Almudena Rivadeneyra, Paolo Lugli, Luisa Petti, Pietro Ibba   +6 more
wiley   +1 more source

Leveraging LLMs for Financial News Analysis and Macroeconomic Indicator Nowcasting

IEEE Access
Approximating macroeconomic indicators is challenging due to the complex interaction of various factors, including global and national economic trends, political decisions, and unpredictable events like pandemics and natural disasters. These complexities,
Livia Reka Onozo, Frigyes Viktor Arthur, Balint Gyires-Toth   +2 more
doaj   +1 more source

Using Machine Learning for Analyzing Sentiment Orientations Toward Eight Countries

SAGE Open, 2020
By using machine learning technique, this article presents sentiment and concept analyses on 48,043 articles published in The Economist from 1991 through 2016. The Economist is one of the world’s most influential political and economic magazines.
Shesen Guo, Ganzhou Zhang
doaj   +1 more source

Leveraging the Amorphous Nature of Sn–P Alloys for Improved Stability and Energy Density in Na‐Ion Batteries

Advanced Energy Materials, EarlyView.
Amorphous SnP3 undergoes homogeneous solid‐solution sodiation, delivering exceptional cycling stability and volumetric capacity. In contrast, crystalline Sn4P3 phase‐separates into Na‐Sn and Na‐P domains, causing rapid capacity decay and severe pulverization.
Yixiang Zhang, Libin Zhang, Animesh Dutta, Ziwei Ye, Ben Tang, Michel Johnson, Nafiseh Zaker, Babak Shalchi‐Amirkhiz, Changlong Chen, J. R. Dahn, Chongyin Yang   +10 more
wiley   +1 more source

Extreme Weather Events and Consumer Food Responses

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT This study investigates consumer food responses to Hurricanes Helene and Milton, which affected a swath of the Southeastern U.S. in 2024. Using representative consumer survey data from six affected states, we analyze 10 distinct food responses classified into ex ante and ex post responses, and examine their associations with food insufficiency
Ahmad Zia Wahdat, Joseph Balagtas
wiley   +1 more source

Promoting Healthier Drinking: Evidence From a Vignette Experiment on Contextual and Informational Drivers of Dealcoholized Wine Choices

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT Growing demand for healthier beverages is driving innovation in the wine sector, with dealcoholized wine emerging as a promising alternative. However, little is known about the contextual conditions under which consumers would choose dealcoholized wine, particularly in countries with strong wine traditions. To fill this gap, this work examines
Giovanna Piracci, Giulia Maesano, Leonardo Casini, Maurizio Canavari, Marija Cerjak   +4 more
wiley   +1 more source