Results 181 to 190 of about 17,166 (262)

Exploring the Impact of Meat Alternative Labeling Regulations on the U.S. Meat Consumption Patterns

Agribusiness, EarlyView.
ABSTRACT The global demand for conventional meat continues to rise, but it is also associated with substantial environmental and health challenges. In response, meat alternatives have gained popularity, sparking debates over meat alternative labeling regulations. This study investigates the effects of meat alternative labeling regulations in the United
Jeong Hun Ji, Sang Hyeon Lee
wiley   +1 more source

From Supplements to Sight: Quantifying the Impact of Lutein and Carotenoid on Age-Related Macular Degeneration-A Systematic Review and Meta-Analysis of Randomized Controlled Trials. [PDF]

J Ophthalmol
Wang WX, Wang CC, Hsu WC, Peng YJ.
europepmc   +1 more source

Structure and Spectroscopic Characterisation of Phenanthroline‐Based Iodobismuthate(III) Complexes Utilised for Raw Acoustic Signal Classification

Advanced Intelligent Discovery, EarlyView.
Memristors based on trimethylsulfonium (phenanthroline)tetraiodobismuthate have been utilised as a nonlinear node in a delayed feedback reservoir. This system allowed an efficient classification of acoustic signals, namely differentiation of vocalisation of the brushtail possum (Trichosurus vulpecula).
Ewelina Cechosz, Gisya Abdi, Andrzej Sławek, Marlena Gryl, Konrad Szaciłowski   +4 more
wiley   +1 more source

Jalili syndrome: Sibling cases with variable phenotypes. [PDF]

Indian J Ophthalmol
Sharda S, Bharti N.
europepmc   +1 more source

Parametric Analysis of Spiking Neurons in 16 nm Fin Field‐Effect Transistor Technology

Advanced Intelligent Discovery, EarlyView.
Energy efficient computing has driven a shift toward brain‐inspired neuromorphic hardware. This study explores the design of three distinct silicon neuron topologies implemented in 16 nm fin field‐Effect transistor technology. While the Axon‐Hillock design achieves gigahertz throughput, its functional fragility persists. The Morris–Lecar model captures
Logan Larsh, Raiyan Siddique, Sarah S. Sharif, Yaser Mike Banad   +3 more
wiley   +1 more source

Research on anomaly detection and operational status evaluation methods for smart electricity meters based on hybrid deep learning. [PDF]

PLoS One
Zhang J, Zhao Y, Zhang J, Bai Z.
europepmc   +1 more source

Large Language Model‐Based Chatbots in Higher Education

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci, Merve Eryilmaz, Ail K. Yetisen, Savas Tasoglu, Aydogan Ozcan   +4 more
wiley   +1 more source

Bertot, John Carlo [ed. et al.]: Accessibility for Persons with Disabilities and the Inclusive Future of Libraries. Emerald Publishing Group 2015 (Advances in Librarianship 40).

Mitteilungen der Vereinigung Österreichischer Bibliothekarinnen und Bibliothekare, 2017
Katharina Flicker
doaj  

A hybrid AI framework for identification of power quality disturbances in electrical network. [PDF]

Sci Rep
Debnath R, Majumder A, Jain AK, Dey B.
europepmc   +1 more source

Resource‐Aware Contrastive Scattering Meta‐Learning for Efficient Few‐Shot Acoustic Anomaly Detection

Advanced Intelligent Systems, EarlyView.
This paper introduces a resource‐aware Contrastive Scattering Meta‐Learning (CSML) framework for acoustic anomaly detection. By leveraging training‐free wavelet scattering and metric‐based meta‐learning, the model achieves competitive performance with only 50 K learnable parameters—a 98% reduction compared to state‐of‐the‐art frameworks—enabling ...
Rami Zewail, Bassem Mokhtar
wiley   +1 more source