Results 91 to 100 of about 1,330,014 (301)

An Instrumentation and Data Acquisition Course at Purdue University

, 2002
The course teaches measurements of variables common in industry, signal conditioning, data acquisition using computers, data processing, and transmission and communication of measurement results.
H. Sumali
semanticscholar   +1 more source

Phenotyping Healthcare Use 2–3 Decades Before the First Multiple Sclerosis Demyelinating Event

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Phenotype hospital, physician, and emergency department (ED) visits by diagnoses and specialty up to 29 years pre‐multiple sclerosis (MS) onset versus a matched population without MS. Methods We identified people with MS (PwMS) using population‐based administrative data from Ontario, Canada (1991–2020).
Helen Tremlett, Karl Everett, Colleen J. Maxwell, Feng Zhu, Ayesha Asaf, Ping Li, Kyla A. McKay, Yinshan Zhao, Ruth Ann Marrie   +8 more
wiley   +1 more source

Development of a Real-Time Software-Defined Radio GPS Receiver Exploiting a LabVIEW-based Instrumentation Environment

, 2018
The ubiquitousness of location based services (LBS) has proven effective for many applications such as commercial, military, and emergency responders. Software-defined radio (SDR) has emerged as an adequate framework for development and testing of global
Akopian, David, Pack, Daniel J., Schmidt, Erick   +2 more
core   +1 more source

Plasma microRNA Signature as Predictive Marker of Clinical Response to Therapy During Multiple Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Despite the availability of effective therapies for Multiple Sclerosis (MS), the unpredictable nature of disease progression and the variability in individual treatment outcomes call for reliable biomarkers. This pilot study aims to investigate the potential of plasma circulating microRNAs (miRNAs) as predictive biomarkers for ...
Fortunata Carbone, Alessandra Colamatteo, Teresa Micillo, Gianmarco Abbadessa, Silvia Garavelli, Clorinda Fusco, Claudia Russo, Francesco Perna, Federica Garziano, Claudia La Rocca, Maria Mottola, Giorgia Teresa Maniscalco, Simona Bonavita, Antonio Luca Spiezia, Alessia Castiello, Roberta Lanzillo, Vincenzo Brescia Morra, Claudio Procaccini, Paola de Candia, Giuseppe Matarese   +19 more
wiley   +1 more source

Support for Debugging Automatically Parallelized Programs [PDF]

arXiv, 2000
We describe a system that simplifies the process of debugging programs produced by computer-aided parallelization tools. The system uses relative debugging techniques to compare serial and parallel executions in order to show where the computations begin to differ.
arxiv  

Monitoring-Oriented Programming: A Tool-Supported Methodology for Higher Quality Object-Oriented Software [PDF]

, 2004
This paper presents a tool-supported methodological paradigm for object-oriented software development, called monitoring-oriented programming and abbreviated MOP, in which runtime monitoring is a basic software design principle.
Chen, Feng, d'Amorim, Marcelo, Rosu, Grigore   +2 more
core  

Active Seizures Predict Worse Instrumental Activities of Daily Living in Individuals With Normal Cognition and Dementia

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives Cognitive disorders are common in older persons with seizures (PWS). Cognitive disorders are often associated with impaired Instrumental Activities of Daily Living (IADLs). However, the effects of seizures on IADLs remain unexplored.
Ifrah Zawar, Jaideep Kapur, Meghan M. Mattos, Carol Manning, Syeda Amrah Hashmi, Mark Quigg   +5 more
wiley   +1 more source

Non-intrusive on-the-fly data race detection using execution replay

, 2000
This paper presents a practical solution for detecting data races in parallel programs. The solution consists of a combination of execution replay (RecPlay) with automatic on-the-fly data race detection.
De Bosschere, Koen, Ronsse, Michiel
core  

Effects of Pharmacologic and Nonpharmacologic Interventions for the Management of Sleep Problems in People With Fibromyalgia: Systematic Review and Network Meta‐Analysis of Randomized Controlled Trials

Arthritis Care &Research, EarlyView.
Objective Fibromyalgia is a chronic condition characterized by widespread musculoskeletal pain and fatigue. Almost everyone with fibromyalgia has sleep problems. We aimed to evaluate the effectiveness and safety of current interventions for the management of fibromyalgia‐related sleep problems.
Jemma Hudson, Mari Imamura, Clare Robertson, Daniel Whibley, Lorna Aucott, Katie Gillies, Paul Manson, Debra Dulake, Abhishek Abhishek, Nicole K. Y. Tang, Gary J. Macfarlane, Miriam Brazzelli   +11 more
wiley   +1 more source

Data‐driven forecasting of ship motions in waves using machine learning and dynamic mode decomposition

International Journal of Adaptive Control and Signal Processing, EarlyView.
Summary Data‐driven forecasting of ship motions in waves is investigated through feedforward and recurrent neural networks as well as dynamic mode decomposition. The goal is to predict future ship motion variables based on past data collected on the field, using equation‐free approaches.
Matteo Diez, Mauro Gaggero, Andrea Serani   +2 more
wiley   +1 more source