Results 201 to 210 of about 562,156 (267)

Integrating satellite data and field surveys to predict bird communities in the Peruvian Amazon. [PDF]

PLoS One
Slater AC, Kirkby CA, Ketola C, Hartley IR, Bush A.   +4 more
europepmc   +1 more source

Impact of Six‐Month Monitoring Compared to Three‐Month Monitoring of Laboratories During Methotrexate Therapy

Arthritis Care &Research, EarlyView.
Objective To evaluate whether extending the American College of Rheumatology–recommended monitoring interval for complete blood count and liver function tests in patients receiving methotrexate (MTX) affects timely detection of medication‐related toxicity.
Spencer Simko, Ray Zhang, Sohini Mukherjee, Puneet Bajaj, Bonnie L. Bermas   +4 more
wiley   +1 more source

A framework for jointly modeling the natural history of ductal carcinoma in situ and invasive breast cancer. [PDF]

J Math Biol
Kapanidis E, Humphreys K.
europepmc   +1 more source

Clinical characteristics and concordance of anti‐MDA5 autoantibodies: A multicentre Australian study

Arthritis Care &Research, Accepted Article.
Objectives In Australia, anti‐MDA5 antibodies are exclusively tested by line immunoblot assay (LIA). The clinical concordance of a LIA‐positive anti‐MDA5 result is unclear. We aimed to describe the clinical features and determine the clinical concordance of patients with anti‐MDA5 antibodies.
Syed B Ali, Thomas Khoo, Keeran Shivakumar, Adam Caroll, Lauren Hender, Dimitra Beroukas, Kim Griggs, Celina Jin, Theo De Malmanche, Jessica Day, Gabor Major, Vidya Limaye   +11 more
wiley   +1 more source

Short-distance detectability in camera trap surveys: implications for population assessment. [PDF]

Environ Monit Assess
Focardi S, Maglia I, Pontiggia P, Franzetti B.   +3 more
europepmc   +1 more source

dynoGP: Deep Gaussian Processes for Dynamic System Identification

International Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli, Marco Forgione, Dario Piga   +2 more
wiley   +1 more source

Microbial next generation DNA sequencing of aspirated synovial fluid shows concordance with ICM criteria biomarkers for diagnosing periprosthetic joint infection in hip and knee arthroplasty. [PDF]

Front Microbiol
Tipton CD, Ancira J, Tarabichi S, Shahi A, Jarvis K, Omeir K, Sanford N, Tallman NA, White J, Phillips CD, Parvizi J, McPherson EJ.   +11 more
europepmc   +1 more source

An Adaptive Detection Algorithm for Non-Uniform Sea Clutter Background Targets Based on Iterative Weighting and Sample Purification. [PDF]

Sensors (Basel)
Su H, Zhang L, Zhao C, Li K.
europepmc   +1 more source

A Video-Based Measurement Framework for Chewing-Event Detection Using 3D Facial Landmark Dynamics and sEMG-Based Reference Annotation. [PDF]

Sensors (Basel)
Giulietti N, Massotti C, Giberti H.
europepmc   +1 more source

A Nonlinear Transform-Based Variability Index CFAR Detector for Doppler-Extended Targets. [PDF]

Sensors (Basel)
Cao L, He Y, Zhao Z, Fu C, Wang D.
europepmc   +1 more source