Results 101 to 110 of about 31,722 (259)

π‐Extended COUPY Fluorophores for Targeted Near‐Infrared Fluorescence and Lifetime Imaging in Live Cells

Angewandte Chemie, EarlyView.
π‐Extended COUPY dyes, obtained by vinylogation of coumarin‐based COUPY scaffolds, shift absorption, and emission deep into the NIR region while preserving compactness and synthetic accessibility. These bright, photostable dyes enable live‐cell imaging, FLIM, and site‐specific peptide conjugation, offering a modular platform for targeted bioimaging and
Diego Abad‐Montero, Manel Bosch, Rodrigo Garcés‐Castellanos, Michael Q. Schottenhamel, Sergio Pedraza‐Arevalo, Alejandro Ibáñez‐Costa, Justo P. Castaño, Tania García‐Becerra, Elena Rebollo, Marta E. Alberto, Antonio Francés‐Monerris, Vicente Marchán   +11 more
wiley   +2 more sources

Market‐Based Nutrition Regulation and Adult BMI Dynamics in Latin America

Agribusiness, EarlyView.
ABSTRACT Market‐based nutrition policies, including interpretative labeling systems and taxes on sugar‐sweetened beverages (SSBs), have been widely adopted across Latin America to influence dietary choices and address rising obesity rates. While prior research documents change in food purchasing and product reformulation following these policies ...
Emiliano Lopez Barrera, Grace Melo
wiley   +1 more source

Accelerating Primary Screening of USP8 Inhibitors from Drug Repurposing Databases with Tree‐Based Machine Learning

Advanced Intelligent Discovery, EarlyView.
This study introduces a tree‐based machine learning approach to accelerate USP8 inhibitor discovery. The best‐performing model identified 100 high‐confidence repurposable compounds, half already approved or in clinical trials, and uncovered novel scaffolds not previously studied. These findings offer a solid foundation for rapid experimental follow‐up,
Yik Kwong Ng, Sharon Ai Er Lam, Wei Chun Lim, Hannah Hui Min Toh, Shi Jun Ang   +4 more
wiley   +1 more source

Traffic noise measurement, mapping, and modeling using soft computing techniques for mid-sized smart Indian city

Measurement: Sensors
The present study presents an investigation into the utilization of artificial neural networks (ANN) and multiple linear regression model (MLR) for the prediction of traffic noise levels in various locations of Dhanbad city at varying intervals.
Shashi Kant Tiwari, Lakshmi Annamalai Kumaraswamidhas, Rohit Patel, Naveen Garg, S. Vallisree   +4 more
doaj   +1 more source

Toward Complex In‐Car Environment Human–Vehicle Interactions Through Smart Glasses and sEMG‐Based Gesture Recognition

Advanced Intelligent Systems, EarlyView.
This study proposes a novel weighted random forest multimodal fusion method that combines smart glasses and sEMG data for in‐vehicle gesture interaction. It realizes stable performance in dim, occluded, and other constrained scenarios, providing feasible solutions and laying a foundation for universal human–machine interaction.
Wenbo Zhang, Wenting Wei, Kuang Li, Chuyuan Bian, Junkai Xu, Jianing Qiu, Yuxi Lu, Bin He, Shuo Jiang   +8 more
wiley   +1 more source

The relationship between air traffic noise and its induced annoyance in the southwest area in Tehran - Iran

بهداشت و ایمنی کار, 2016
Introduction: Noise pollution in urban areas has been recognized as a major problem. Since hearing damages are the main concern of noise exposure, other physical and psychological effects should not be ignored.
Arsalan Yousefzadeh, Parvin Nassiri, Abbas Rahimi Foroushani   +2 more
doaj  

Road traffic noise modelling and monitoring

Traffic noise pollution is a critical environmental issue with significant impacts on human health and well-being in urban areas. Accurate monitoring and modelling of road traffic noise are essential for effective noise mitigation and urban planning strategies.
openaire   +1 more source

A three-dimensional geometrical noise model for traffic noise simulation.

Journal of the Acoustical Society of Japan (E), 1981
In this paper, a three-dimensional geometrical noise model for single vehicles on a freeway is described. Its derivation is based on the propagation of sound energy from a point source in a free field. It is then generalized to all type of road vehicles by including in it between-type and within-type variations.
openaire   +1 more source

Interpretable Short‐Term Electric Load Forecasting

Advanced Intelligent Systems, EarlyView.
A temporal fusion transformer is implemented to generate day‐ahead forecasts of the hourly electrical load of a departmentbuilding at an Italian university. A forecasting performance improvement of more than 25% compared with established benchmark models and a provision of inherent robust interpretability insights reveal the potential of this model for
Alessandro Nicola, Giorgia Ghione, Vincenzo Randazzo, Vincenzo Franzitta, Marco Badami, Eros Pasero, Giansalvo Cirrincione   +6 more
wiley   +1 more source

AI‐Assisted IoT‐Enabled ECG Monitoring: Integrating Foundational and Generative AI Tools for Sustainable Smart Healthcare—Recent Trends

AI &Innovation, EarlyView.
ABSTRACT The rapid evolution of the Internet of Things (IoT) has significantly advanced the field of electrocardiogram (ECG) monitoring, enabling real‐time, remote, and patient‐centric cardiac care. This paper presents a comprehensive survey of AI assisted IoT‐based ECG monitoring systems, focusing on the integration of emerging technologies such as ...
Amrita Choudhury, Kandarpa Kumar Sarma, Lachit Dutta   +2 more
wiley   +1 more source