Results 121 to 130 of about 14,722 (279)

Optimal deep learning activity recognition pipeline using animal bio‐logging data

Methods in Ecology and Evolution, EarlyView.
Abstract Animal activity recognition using supervised machine learning on bio‐logging data has revolutionized behavioural studies on wildlife and livestock over the past decade. These studies' analytic pipelines differ substantially though, being based on various sensors, features, algorithms and hyperparameter values, which has caused suboptimal or ...
Jasper A. J. Eikelboom
wiley   +1 more source

Parametric Model of Gyroscopes

, 2018
The classification of gyroscopes based on the parametric model is considered. It is shown that the proposed parametric model can be used as a basis for developing a mathematical model in the process of creating a module for the automated vibration ...
Sotnik, S., Lyashenko, V., Ahmad M. Ayaz, Belova, N.   +3 more
core  

Junctional sensitivity and atrophy progression rate of geographic atrophy secondary to age‐related macular degeneration

Acta Ophthalmologica, EarlyView.
Abstract Purpose To determine the relationship between the baseline junctional retinal sensitivity measured with microperimetry and the atrophy progression rate in eyes with geographic atrophy (GA) secondary to age‐related macular degeneration. Methods In this prospective cohort study, patients with GA were examined with fundus autofluorescence (FAF ...
Alexander Kai Thomsen, Jenni Martinez Villarruel Hinnerskov, Miranda Maung, Aubin Mutschler, SriniVas Sadda, Torben Lykke Sørensen   +5 more
wiley   +1 more source

The collective application of shorebird tracking data to conservation

Conservation Biology, EarlyView.
Abstract Addressing urgent conservation issues, such as the drastic declines of North American migratory birds, requires creative, evidence‐based, efficient, and collaborative approaches. The abundance of over 50% of monitored North American shorebird populations has declined by over 50% since 1980. To address these declines, we developed a partnership
Autumn‐Lynn Harrison, Candace Stenzel, Alexandra Anderson, Jessica Howell, Richard B. Lanctot, Marley Aikens, Joaquín Aldabe, Liam A. Berigan, Joël Bêty, Erik Blomberg, Juliana Bosi de Almeida, Andy J. Boyce, David W. Bradley, Stephen Brown, Jay Carlisle, Edward Cheskey, Katherine Christie, Sylvain Christin, Rob Clay, Ashley Dayer, Jill L. Deppe, Willow English, Scott A. Flemming, Olivier Gilg, Christine Gilroy, Susan Heath, Jason M. Hill, J. Mark Hipfner, James A. Johnson, Luanne Johnson, Bart Kempenaers, Paul Knaga, Eunbi Kwon, Benjamin J. Lagassé, Jean‐François Lamarre, Christopher Latty, Don‐Jean Léandri‐Breton, Nicolas Lecomte, Pam Loring, Laura A. McDuffie, Rebecca McGuire, Scott Moorhead, Juan G. Navedo, David Newstead, Erica Nol, Alina Olalla‐Kerstupp, Bridget Olson, Elizabeth Olson, Julie Paquet, Allison K. Pierce, Jennie Rausch, Kevin Regan, Matthew E. Reiter, Amber M. Roth, Mike Russell, Daniel Ruthrauff, Sarah T. Saalfeld, Amy L. Scarpignato, Shiloh Schulte, Nathan R. Senner, Joseph A. M. Smith, Paul A. Smith, Zach Spector, Kelly Srigley Werner, Michelle L. Stantial, Audrey R. Taylor, T. Lee Tibbitts, Mihai Valcu, Nils Warnock, Walter Wehtje, Brad Winn, Michael B. Wunder   +71 more
wiley   +1 more source

Development of SiN-based optical high grade gyroscopes

, 2022
Les gyroscopes sont des capteurs de vitesse angulaire présents dans un nombre varié d'applications, telles que l'électronique grand public, l'automobile, l'aéronautique et le militaire.
Kempf, Eva
core  

Gross motor performance of infants with an at‐home wearable measurement and the Alberta Infant Motor Scale: A concurrent validity study

Developmental Medicine &Child Neurology, EarlyView.
Abstract Aim To evaluate the concurrent validity of assessing infants' gross motor performance with an at‐home wearable measurement versus the Alberta Infant Motor Scale (AIMS). Method This observational study used a new multi‐sensor wearable Motor Assessment of Infants with a JUmpsuit (MAIJU) for 67 at‐home measurements of 42 infants (60% males; mean ...
Manu Airaksinen, Taru Palsa, Arto Hautala, Marike Boonzaaijer, Leena M. Haataja, Sampsa Vanhatalo   +5 more
wiley   +1 more source

Machine learning approaches in automated infant General Movements Assessment: A scoping review

Developmental Medicine &Child Neurology, EarlyView.
Automated infant General Movements Assessment increasingly uses machine‐ and deep‐learning approaches to classify movement patterns and estimate cerebral palsy risk from video or sensor data. This scoping review highlights how dataset characteristics, recording environment, pose‐estimation accuracy, feature extraction, and model design influence system
Manpreet Kaur, Hamid Abbasi, Sîan A. Williams, Thor F. Besier, Angus J. C. McMorland   +4 more
wiley   +1 more source

Quantitative assessment of gait alterations and variability in sulky‐driven Standardbred trotters after a standardised exercise test

Equine Veterinary Journal, EarlyView.
Abstract Background Assessment of equine metabolic and locomotory responses to quantified levels of physical exercise is needed to support the creation of tailored protocols for optimal training adaptation. The locomotory response to exercise in horses is not fully understood.
Rhana Mackie Aarts, Ineke Hillie Smit, Guilherme de Camargo Ferraz, Marie Rhodin, Filipe Manuel Serra Braganca, Elin Hernlund   +5 more
wiley   +1 more source

Spherical Video‐Based Virtual Reality for Nurses' Workplace Violence Management: A Convergent Mixed‐Methods Study

Journal of Advanced Nursing, EarlyView.
ABSTRACT Aim To evaluate the feasibility, effectiveness, and acceptability of a spherical video‐based virtual reality training programme aimed at helping nurses manage workplace violence. Design A convergent mixed‐methods study. Methods This study included nurses from a tertiary medical centre in Taiwan. The training programme involved four interactive
Yen‐Yin Lin, Ting‐Ti Lin, Yin‐Ling Hung, Hsin‐Pei Feng, Chun‐Yu Liang, Wen‐Chii Tzeng   +5 more
wiley   +1 more source

Predicting and Rationalizing Piezoelectricity in Racemic Bioorganic Molecular Crystals

Angewandte Chemie, Volume 138, Issue 26, 22 June 2026.
Racemic molecular crystals, composed of equal mixtures of chiral enantiomeric components, are predicted to exhibit significant piezoelectric responses and favourable mechanical flexibility. This study identifies organic and bioorganic racemates as promising candidates for sustainable, lead‐free materials, enabling next‐generation applications in energy
Shubham Vishnoi, Sarah Guerin
wiley   +2 more sources