Results 81 to 90 of about 2,594,012 (249)
Abstract The Iberian wolf (Canis lupus signatus) is an endangered subspecies characterized by highly fragmented populations and increasing human–carnivore conflict across the Iberian Peninsula. Although body mass strongly influences predator–prey dynamics and ecological performance, quantitative assessments of sexual size dimorphism (SSD) and body mass
Leonardo Cotts +4 more
wiley +1 more source
EEG-Based Biometric Identification and Emotion Recognition: An Overview
This overview examines recent advancements in EEG-based biometric identification, focusing on integrating emotional recognition to enhance the robustness and accuracy of biometric systems. By leveraging the unique physiological properties of EEG signals,
Miguel A. Becerra +5 more
doaj +1 more source
Efficient privacy-preserving biometric identification in largescale multibiometric systems [PDF]
In recent years, applications of biometric systems on national and international scale have appeared. Biometric identification is one of the important operational modes of such systems. It entails ascertaining the data subject identity corresponding to a
Drozdowski, Pawel
core +1 more source
Objective The purpose of this study was to determine the benefit of a behaviorally designed incentive program and glucocorticoid injections in reducing symptoms and promoting physical activity in patients with knee osteoarthritis (KOA). Methods This was a pragmatic, multisite, factorially designed, blinded, randomized clinical trial.
Joshua F. Baker +17 more
wiley +1 more source
Soft biometrics for surveillance: an overview [PDF]
Biometrics is the science of automatically recognizing people based on physical or behavioral characteristics such as face, fingerprint, iris, hand, voice, gait and signature.
C. Chen +9 more
core +1 more source
Abstract Scholarship on documentation of datasets is increasingly concerned with capturing the context, socio‐technical processes, and decisions shaping data. “Datasheets for datasets” is a recent approach developed by researchers in machine learning that foregrounds transparency and uncovering bias through data documentation.
Emily Maemura, Helena Byrne
wiley +1 more source
Unimodal and Multimodal Biometric Sensing Systems: A Review
Biometric systems are used for the verification and identification of individuals using their physiological or behavioral features. These features can be categorized into unimodal and multimodal systems, in which the former have several deficiencies that
Muhtahir O. Oloyede, Gerhard P. Hancke
doaj +1 more source
Dual model for biometric identification system [PDF]
A biometric system which relies only on a single biometric identifier in making a personal identification is often not able to meet the desired performance requirements.
Abdulaziz, Ala Abdulhakim
core
Abstract Aim Tezepelumab is a human monoclonal antibody that blocks the activity of thymic stromal lymphopoietin and is approved for adolescents and adults with severe asthma. This analysis assessed pharmacokinetics (PK), pharmacodynamics and safety of tezepelumab up to 85 days postdose in adolescents and children.
Anna Lundahl +14 more
wiley +1 more source
Using gait as a biometric, via phase-weighted magnitude spectra
Gait is a biometric which is subject to increasing interest. Current approaches include modelling gait as a spatio-temporal sequence and as an articulated model. By considering legs only, gait can be considered to be the motion of interlinked pendula. We
Nixon, M.S., Carter, J.N., Cunado, D.
core +1 more source

