Results 151 to 160 of about 822,981 (308)

Processing efficiency in pediatric cancer survivors: A review and operationalization for outcomes research and clinical utility

Brain and Behavior, Volume 12, Issue 12, December 2022., 2022
Abstract Objective Childhood cancer and cancer‐related treatments disrupt brain development and maturation, placing survivors at risk for cognitive late effects. Given that assessment tools vary widely across researchers and clinicians, it has been daunting to identify distinct patterns in outcomes across diverse cancer types and to implement ...
Julie A. Trapani, Donna L. Murdaugh
wiley   +1 more source

Artificial Intelligence‐Enhanced, Closed‐Loop Wearable Systems Toward Next‐Generation Diabetes Management

Advanced Intelligent Systems, EarlyView.
Recent advancements in wearable healthcare have brought accessible continuous glucose monitoring systems (CGMs) for diabetes management. To address the limitations of CGMs, closed‐loop systems utilizing monitored glucose levels for insulin dosing are being developed.
Wei Huang, Ivo Pang, Jing Bai, Binbin Cui, Xiaojuan Qi, Shiming Zhang   +5 more
wiley   +1 more source

Effects of greenwashing on financial performance: Moderation through local environmental regulation and media coverage

Business Strategy and the Environment, Volume 32, Issue 1, Page 820-841, January 2023., 2023
Abstract Recent research suggests that the effect of greenwashing and corporate financial performance (CFP) is ambiguous. This call for study the contextual factors that create contingencies in the greenwashing–CFP relationship. Using a sample of 2816 observations covering 735 Chinese‐listed firms in 21 different industries from 2013 to 2017, this ...
Wei Li, Weining Li, Veikko Seppänen, Timo Koivumäki   +3 more
wiley   +1 more source

Knowledge Distillation‐Based Zero‐Shot Learning for Process Fault Diagnosis

Advanced Intelligent Systems, EarlyView.
Process and image data are equivalent with the teacher model pretrained on image data. Knowledge distillation transfers normal condition data to the student model. When an unknown fault occurs, differences between the teacher and student models are quantified via gradients to isolate the fault. Data‐driven deep learning is effective in diagnosing known
Yi Liu, Jiajun Huang, Mingwei Jia
wiley   +1 more source

Applied Artificial Intelligence in Materials Science and Material Design

Advanced Intelligent Systems, EarlyView.
AI‐driven methods are transforming materials science by accelerating material discovery, design, and analysis, leveraging large datasets to enhance predictive modeling and streamline experimental techniques. This review highlights advancements in AI applications across spectroscopy, microscopy, and molecular design, enabling efficient material ...
Emigdio Chávez‐Angel, Martin Børstad Eriksen, Alejandro Castro‐Alvarez, Jose H. Garcia, Marc Botifoll, Oscar Avalos‐Ovando, Jordi Arbiol, Aitor Mugarza   +7 more
wiley   +1 more source

GACNet: Interactive Prediction of Surrounding Vehicles Behavior under High Collision Risk

Advanced Intelligent Systems, EarlyView.
This study designs a dual‐stage prediction framework and introduces a conflict analysis module. This module refines the initially predicted future trajectories and performs collision detection and behavior analysis on the refined trajectories, thereby learning the true interactive behaviors of multiple agents in high‐collision‐risk scenarios.
Jingzheng Chai, Jianting Liu, Jingluo Huang, Chunyan Huang   +3 more
wiley   +1 more source

Flexible Strain Sensor Enabled by Back Propagation Neural Network for Gesture Recognition

Advanced Intelligent Systems, EarlyView.
By combining 3D printing with microfluidics, a flexible strain sensor has been developed in a convenient, safe, and effective way. Consisting of a conductive microfiber with a polyurethane shell and a liquid metal core, the sensor exhibits excellent conductivity and stretchability.
Yikai Wu, Jinpeng Wang, Can Wang, Linlin Xia, Jie Wang   +4 more
wiley   +1 more source

The diagnosis, classification, and treatment of sarcoma in this era of artificial intelligence and immunotherapy

Cancer Communications, Volume 42, Issue 12, Page 1288-1313, December 2022., 2022
Abstract Soft‐tissue sarcomas (STS) represent a group of rare and heterogeneous tumors associated with several challenges, including incorrect or late diagnosis, the lack of clinical expertise, and limited therapeutic options. Digital pathology and radiomics represent transformative technologies that appear promising for improving the accuracy of ...
Amandine Crombé, Mathtieu Roulleau‐Dugage, Antoine Italiano   +2 more
wiley   +1 more source

DMFFT: improving the generation quality of diffusion models using fast Fourier transform. [PDF]

Sci Rep
Yu C, Han C, Zhang C.
europepmc   +1 more source

Digital transformation of public employment services in the post‐pandemic era. Evidence from Italy as a latecomer country

Australian Journal of Social Issues, EarlyView.
Abstract The Next Generation EU (NGEU) economic recovery package has set the conditions for unprecedented investment in policy areas considered of strategic importance by each Member State. This article focusses on the Italian case, characterised by long‐lasting weaknesses in active labour market policies and public employment services (PES) to analyse
Stefano Sacchi, Gianluca Scarano
wiley   +1 more source