Results 91 to 100 of about 2,921 (221)

Unveiling Illusionary Robust Features: A Novel Approach for Adversarial Defenses in Deep Neural Networks

IEEE Access
Deep Neural Networks (DNNs) are vulnerable to visually imperceptible perturbations, known as Adversarial Examples (AEs). The leading hypothesis attributes this susceptibility to “non-robust features,” which are highly predictive but fragile.
Alireza Aghabagherloo, Rafa Galvez, Davy Preuveneers, Bart Preneel   +3 more
doaj   +1 more source

Bothy busi/yness: Recirculating representation and practice in the Scottish landscape

Transactions of the Institute of British Geographers, EarlyView.
Abstract This paper uses the ‘busi/yness’ of Scottish mountain bothies to explore the agency of representation and its entanglement with practice. In doing so it asks, firstly, what are the material and discursive impacts of a rise in the symbolic value of an object (or in this case a building)?
Rachel Hunt
wiley   +1 more source

Energy Calibration for the Forward Detector at WASA-at-COSY [PDF]

, 2014
K. Demmich
openalex   +1 more source

Optimizing cerebrovascular endothelial health through shear stress modulation

Experimental Physiology, EarlyView.
Abstract The endothelium plays a pivotal role in regulating cerebrovascular blood flow, and its dysfunction increases the risk of cerebrovascular disease. Endothelial shear stress, a primary mechanical stimulus for endothelial nitric oxide production, is a key modulator of vascular adaptation.
Erika Iwamoto, Rintaro Sakamoto, Darren P. Casey   +2 more
wiley   +1 more source

Carry Your Fault: A Fault Propagation Attack on Side-Channel Protected LWE-based KEM

Transactions on Cryptographic Hardware and Embedded Systems
Post-quantum cryptographic (PQC) algorithms, especially those based on the learning with errors (LWE) problem, have been subjected to several physical attacks in the recent past.
Suparna Kundu, Siddhartha Chowdhury, Sayandeep Saha, Angshuman Karmakar, Debdeep Mukhopadhyay, Ingrid Verbauwhede   +5 more
doaj   +1 more source

In Vitro Metabolism and Analytical Characterization of SLU‐PP‐332 and SLU‐PP‐915: Novel Pan‐ERR Agonists With Doping Potential

Rapid Communications in Mass Spectrometry, Volume 40, Issue 8, 30 April 2026.
ABSTRACT Rationale Estrogen‐related receptor (ERR) agonists such as the drug candidates SLU‐PP‐332 and SLU‐PP‐915 are currently being investigated as exercise mimetics, given their ability to trigger human physiological processes similar to those initiated by actual physical activity.
Tristan Möller, Oliver Krug, Mario Thevis   +2 more
wiley   +1 more source

Residual Chemical Shift Anisotropies in the Structure Determination of Small Molecules

Magnetic Resonance in Chemistry, Volume 64, Issue 3, Page 286-311, March 2026.
Plasma neutrophil elastase(ELANE) was markedly elevated in patients with alcohol use disorder, indicating a dysregulated protease‐antiprotease inflammatory balance characterised by decreased SERPINA3. ELANE showed excellent diagnostic specificity(AUC = 0.8683), supporting its potential utility as a neuroinflammatory biomarker for AUD.
Nilamoni Nath, Juan Carlos Fuentes Monteverde, Swaraj Pathak, Christian Griesinger   +3 more
wiley   +1 more source

Rudraksh: A compact and lightweight post-quantum key-encapsulation mechanism

Transactions on Cryptographic Hardware and Embedded Systems
Resource-constrained devices such as wireless sensors and Internet of Things (IoT) devices have become ubiquitous in our digital ecosystem. These devices generate and handle a major part of our digital data.
Suparna Kundu, Archisman Ghosh, Angshuman Karmakar, Shreyas Sen, Ingrid Verbauwhede   +4 more
doaj   +1 more source

Turn‐Induction in Peptides Incorporating Novel Cyrene‐Derived α,α‐Disubstituted Amino Acid

Journal of Peptide Science, Volume 32, Issue 3, March 2026.
Novel chiral cyrene‐derived Cyr residues were incorporated into peptides. The α,α‐disubstituted amino acid residue was introduced using the Ugi reaction. X‐ray crystallographic analysis of R‐ and S‐Cyr residues indicated preference to adopt left‐ and right‐handed α‐helical conformations, respectively.
Kajumee Bora Bhowal, Raphael Hitti, William D. Lubell   +2 more
wiley   +1 more source

On Performance Improvement of Reinforcement Learning for Collision Avoidance in Autonomous Intersections

IEEE Access
Reinforcement Learning (RL) is a promising technology to make autonomous vehicles (AVs) a reality. The essential part of RL training is to derive an optimal policy to obtain the best performance in the intended environment.
Arpad Huszak, Takahito Yoshizawa, Alireza Aghabagherloo, Dave Singelee, Bart Preneel   +4 more
doaj   +1 more source