Photonic‐Enabled Energy‐Efficient Transparent Neuromorphic Computing Devices: A Review
Transparent photonic neuromorphic computing devices merge optics and brain‐inspired computing to overcome von Neumann bottlenecks with ultrafast, low‐energy processing. By exploiting transparent oxides, 2D materials, phase‐change materials, and hybrid heterostructures, these platforms enable photonic synapses, memory, and logic for see‐through edge ...
Shuvaraj Ghosh +8 more
wiley +1 more source
Comparison of Alternative Meat Inspection Regimes for Pigs From Non-Controlled Housing - Considering the Cost of Error. [PDF]
Hansen RK +5 more
europepmc +1 more source
Polarization Dynamics in Ferroelectrics: Insights Enabled by Machine Learning Molecular Dynamics
Machine learning molecular dynamics is presented as a route to capture polarization switching, domain wall kinetics, topological polar textures, and polar mechanical coupling beyond the limits of conventional atomistic methods. This Perspective surveys recent progress and identifies key methodological directions, including long‐range electrostatics ...
Dongyu Bai +3 more
wiley +1 more source
Meat Consumption Patterns and Intentions for Change Among Finnish Consumers [PDF]
During the past few decades, meat has increasingly become a subject of controversies relating to health and safety, environment, and animal welfare. Even though these changes in perceptions of meat are not yet visible in aggregate consumption figures ...
Makela, Jarmo +7 more
core
Wearable‐derived diurnal alignment between physical activity and device temperature, decomposed into 24 h coupling strength (M24), phase deviation (D24), and 12 h harmonic magnitude (M12), is examined in approximately 90,000 UK Biobank participants.
Han Chen +6 more
wiley +1 more source
HEDGING CARCASS BEEF TO REDUCE THE SHORT-TERM PRICE RISK OF MEAT PACKERS [PDF]
Hedging in the live cattle futures market has largely been viewed as a method of reducing producer's price over a rather lengthy production period (three to six months). Meat packers and processors also face price risk.
Bailey, DeeVon, Brorsen, B. Wade
core
A versatile framework integrates addressable electrothermal actuation and strain‐constraint mechanisms to construct programmable shape‐morphing soft matter systems. By combining an analytical inverse design strategy for high‐fidelity 3D surface reconstruction with deep learning‐based closed‐loop control, this approach enables zero‐energy shape locking,
Kai Liu +5 more
wiley +1 more source
Food Safety Risk Perceptions as a Tool for Market Segmentation: The U.S. Poultry Meat Market [PDF]
This study explores the application of risk perceptions as a segmentation tool in the poultry meat market. Principal component analysis is used to examine data from a 2006 survey on a potential avian influenza outbreak in the U.S.
Miljkovic, Dragan +3 more
core
Ovarian Cancer Diagnosis and Chemoresistance Prediction Model Based on cfRNA Molecular Signature
A deep learning model analyzes cfRNA profiles extracted from the blood of OVCA patients. This innovative approach distinguishes OVCA from healthy controls with high accuracy. Crucially, it reliably predicts patient response to chemotherapy (sensitive versus resistant subgroups).
Qinhao Guo +14 more
wiley +1 more source
Greek meat supply response and price volatility in a rational expectations framework: A multivariate GARCH approach [PDF]
This paper examines supply response models in a rational expectations framework for each one of the four major Greek meat markets, i.e. beef, broiler, lamb and pork.
Rezitis, Anthony N. +1 more
core

