Results 81 to 90 of about 4,260,860 (287)

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

open access: yesAgribusiness, 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

Associated Students of the University of Puget Sound Senate Minutes 1991-1992 [PDF]

open access: yes, 1991
Meeting minutes of the Associated Students of the University of Puget Sound from 09/1991 - 04/1992.
Associated Students of the University of Puget Sound,
core  

Artificial Intelligence‐Driven Network Pharmacology: A Methodological Paradigm Shift Bridging Traditional Wisdom and Modern Science

open access: yesAdvanced Intelligent Discovery, EarlyView.
Artificial intelligence is redefining network pharmacology (NP). By integrating knowledge graph engineering, geometric deep learning, multiomics anchoring, and generative reasoning, AI‐driven NP (AI‐NP) transforms static target mapping into dynamic, predictive modeling.
Cong Wang   +9 more
wiley   +1 more source

Heart Sound Classification Based on Temporal Alignment Techniques

open access: yes2016 Computing in Cardiology Conference (CinC), 2016
The ability to accurately stratify patients at risk of adverse cardiovascular outcomes using heart sound recordings could result in earlier treatment and improved patient outcomes. However, there remain several challenges associated with risk stratifying patients based on the phono-cardiogram (PCG) alone.
Jose Javier Gonzalez Ortiz   +2 more
openaire   +2 more sources

Associated Students of the University of Puget Sound Senate Minutes 2008-2009 [PDF]

open access: yes, 2008
Meeting minutes of the Associated Students of the University of Puget Sound from 09/2008 - 04/2009.
Associated Students of the University of Puget Sound (ASUPS)
core  

Large Language Model‐Based Chatbots in Higher Education

open access: yesAdvanced 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   +4 more
wiley   +1 more source

Heart Sound Signals Classification with Image Conversion Employed

open access: yes
The number of patients with cardiovascular diseases worldwide is increasing rapidly, while medical resources are increasingly scarce. Heart sound classification, as the most direct means of discovering cardiovascular diseases, is attracting the attention
Yibei Jia   +3 more
core   +1 more source

Thermally Drawn Bioelectric Catheters: Enabling Proprioceptive Endovascular Navigation

open access: yesAdvanced Intelligent Systems, EarlyView.
This work introduces a novel bioelectric navigation system eliminates the need for harmful fluoroscopy during endovascular surgeries. A bespoke 16‐electrode catheter is fabricated using rapid thermal drawing and laser micro‐machining. Paired with a real‐time tracking algorithm fusing vascular geometry detection and distance estimation, this technology ...
Alex Ranne   +8 more
wiley   +1 more source

Heart Sound Segmentation Using Deep Learning Techniques [PDF]

open access: yes
Heart disease remains a leading cause of mortality worldwide. Auscultation, the process of listening to heart sounds, can be enhanced through computer-aided analysis using Phonocardiogram (PCG) signals.
Madine, Manas
core  

Sports Activity Recognition Using Textile‐Based Sensor Fusion and Complex‐Valued Residual Convolutional Neural Networks

open access: yesAdvanced Intelligent Systems, EarlyView.
Motion artifacts in electrocardiographic signals, conventionally dismissed as noise, are shown to encode discriminative activity information. A smart t‐shirt fusing textile strain sensors with textile ECG electrodes, processed through a complex‐valued residual network, recognizes 12 sport activities.
Nada Al‐azzawi   +4 more
wiley   +1 more source

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