Potential of fermented herbal extracts to modulate digestion and gut microbiota during the weaner and fattening period on commercial pig farms [PDF]
Due to varying farm environments, the effect of feed additives on the gut microbiota and function in pigs may differ among farms. The present study aimed to evaluate the effect of a fermented herbal extract (FHE) on feed digestibility, fecal microbiota ...
Barbara U. Metzler-Zebeli +5 more
doaj +2 more sources
A comparative performance analysis of fully homomorphic and attribute-based encryption schemes [PDF]
To integrate Attribute-Based Encryption (ABE) and Fully Homomorphic Encryption (FHE) within the NS-2 simulation environment, we propose a novel simulation model called FHE and ABE with Fast Exponentiation Optimization (FA-FEO) for smart city environment ...
Kirti Dinkar More, Dhanya Pramod
doaj +2 more sources
Dynamic Model Selection in a Hybrid Ensemble Framework for Robust Photovoltaic Power Forecasting [PDF]
As global electricity demand increases and concerns over fossil fuel usage intensify, renewable energy sources have gained significant attention. Solar energy stands out due to its low installation costs and suitability for deployment.
Nakhun Song +3 more
doaj +2 more sources
DARTPHROG: A Superscalar Homomorphic Accelerator [PDF]
Fully Homomorphic Encryption (FHE) allows a client to share their data with an external server without ever exposing their data. FHE serves as a potential solution for data breaches and the marketing of users’ private data.
Alexander Magyari, Yuhua Chen
doaj +2 more sources
Risk factors and predictive performance for first healthcare encounter indicating homelessness using administrative data among Calgary residents diagnosed with addiction or mental health conditions. [PDF]
Individuals diagnosed with addiction or mental health (AMH) conditions are more likely to experience potentially adverse outcomes of homelessness. Despite their link to later outcomes, research on initial episodes of AMH outcomes is limited.
Faezehsadat Shahidi +4 more
doaj +2 more sources
HoRNS-CNN model: an energy-efficient fully homomorphic residue number system convolutional neural network model for privacy-preserving classification of dyslexia neural-biomarkers [PDF]
Recent advancements in cloud-based machine learning (ML) now allow for the rapid and remote identification of neural-biomarkers associated with common neuro-developmental disorders from neuroimaging datasets. Due to the sensitive nature of these datasets,
Opeyemi Lateef Usman +5 more
doaj +2 more sources
CoFHE: Software and hardware Co-design for FHE-based machine learning as a service
Introduction: Privacy concerns arise whenever sensitive data is outsourced to untrusted Machine Learning as a Service (MLaaS) platforms. Fully Homomorphic Encryption (FHE) emerges one of the most promising solutions to implementing privacy-preserving ...
Mengxin Zheng, Lei Ju, Lei Jiang
doaj +1 more source
Prevention of post-surgical adhesion bands by local administration of frankincense n-hexane extract
Background: and purpose: The formation of postoperative intra-abdominal adhesion band formation may lead to severe complications. This study aimed to evaluate the preventive effect of local administration of frankincense n-hexane extract (FHE) on the ...
Fatemeh Jamshidi-adegani +10 more
doaj +1 more source
Quantum Fully Homomorphic Encryption With Verification [PDF]
Fully-homomorphic encryption (FHE) enables computation on encrypted data while maintaining secrecy. Recent research has shown that such schemes exist even for quantum computation.
A Broadbent +9 more
core +10 more sources
We present automatically parameterised Fully Homomorphic Encryption (FHE) for encrypted neural network inference and exemplify our inference over FHE-compatible neural networks with our own open-source framework and reproducible examples.
George Onoufriou +2 more
doaj +1 more source

