Results 101 to 110 of about 7,901 (255)

Market Interviews in Shared Traumatic Reality: A Trauma‐Informed, Co‐Constructed Framework

Psychology &Marketing, EarlyView.
ABSTRACT Qualitative market interviews may become trauma‐sensitive when ordinary questions about consumption, work, finance, mobility, identity, professional continuity, or institutional trust intersect with displacement, insecurity, loss, or ongoing threat.
Nataliia Kochkina, Sofiia Berezka, Fabio Corona, Giuseppe Melis   +3 more
wiley   +1 more source

Apathy in Parkinson's Disease: Distinguishing Overlapping Symptoms Via Network Analysis

Movement Disorders Clinical Practice, EarlyView.
Abstract Background Anxiety, fatigue, and excessive daytime sleepiness (EDS) frequently co‐occur in Parkinson's disease (PD) and can influence the clinical determination of apathy. Objective To distinguish patient‐reported apathy from other non‐motor symptoms.
Joseph Seemiller, Abhimanyu Mahajan, Christopher B. Morrow, Joseph F. McGuire, Dawn Bowers, Kelly A. Mills, Gregory M. Pontone   +6 more
wiley   +1 more source

Optical Detuning Strategies for Shielded Loop Resonators

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To compare detuning performance and evaluate power requirements of optical detuning methods and to demonstrate feasibility of an optically‐detuned 4‐channel receive array. Methods Four optical detuning methods were compared in simulations, bench tests, and phantom measurements at 3T against conventional galvanic detuning.
Jakob Gerlach, Reza Aghabagheri, Zining Liu, Shuai Liu, Morteza Teymoori, Çağlar Ataman, Michael Bock, Ali Caglar Özen   +7 more
wiley   +1 more source

'Visual clutter' in the classroom: voices of students with Autism Spectrum Disorder. [PDF]

Int J Dev Disabil, 2018
Zazzi H, Faragher R.
europepmc   +1 more source

Study of Visual Clutter in Geographic Node-Link Diagrams.

, 2016
An increasing amount of geographic data is now freely available on the Internet, and this number is expected to increase as monitoring systems and sensors are becoming a ubiquitous part of our environment. A substantial subset is structured as networks (or graphs).
openaire   +2 more sources

Where were all the trees? Computer vision meets landscape history to unlock the potential of historical Ordnance Survey maps

People and Nature, EarlyView.
Abstract The first edition of the Ordnance Survey's 1:2500 County Series is marked with treed areas, such as woodlands and orchards, and, remarkably, freestanding trees. Consequently, it is an unparalleled source of information on the distribution of trees across Britain in the mid‐late nineteenth century, when the maps were first surveyed. In order to
Toby Pillatt, William A. P. Smith
wiley   +1 more source

Using a social‐ecological macrosystems framework to understand how human activities alter ecological synchrony

People and Nature, EarlyView.
Abstract Different aspects of ecological systems, biotic or abiotic, often fluctuate in coordinated patterns over space and time. Such high concordance between ecological processes is often referred to as ecological synchrony. Human activities, including and beyond climate change, have the potential to alter ecological synchrony by disrupting or ...
Yiluan Song, Mallory Barnes, K. Ann Bybee‐Finley, Kyla M. Dahlin, Travis McDevitt‐Galles, Stephan B. Munch, Guillermo E. Ponce‐Campos, Casey Youngflesh, Benjamin Zuckerberg, Kai Zhu   +9 more
wiley   +1 more source

Modeling rainfall drop size distribution moments using an S‐band polarimetric radar in complex terrain

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Using S‐band dual‐polarization radar and disdrometers during PRECIP 2022 in Taiwan, we analyze a Mei‐Yu frontal event with widespread stratiform rain and embedded convection. Multiple disdrometers are used to create a novel drop size distribution model for S‐band radars resolving both the drizzle and precipitation modes. The model reveals both inferred
Ian C. Cornejo, Angela K. Rowe, Michael M. Bell, Wei‐Yu Chang   +3 more
wiley   +1 more source

Redefining Optimal Coverage Path Planning for FLS‐Equipped AUVs With Deep Reinforcement Learning

Journal of Field Robotics, EarlyView.
ABSTRACT Autonomous Underwater Vehicles (AUVs) have emerged as indispensable tools for a variety of subsea tasks, from habitat monitoring and seabed mapping to infrastructure inspection and mine countermeasures. A fundamental challenge in this field is Coverage Path Planning (CPP), the problem of ensuring complete and efficient area coverage.
Lorenzo Cecchi, Alberto Topini, Alessandro Bucci, Alessandro Ridolfi   +3 more
wiley   +1 more source

Deep Reinforcement Learning Based Autonomous Decision‐Making for Cooperative Uncrewed Aerial Vehicles: A Search and Rescue Real World Application

Journal of Field Robotics, EarlyView.
ABSTRACT This paper presents the first end‐to‐end framework that combines guidance, navigation, and centralized task allocation for multiple UAVs performing autonomous search‐and‐rescue (SAR) in GNSS‐denied indoor environments. A twin delayed deep deterministic policy gradient controller is trained with an artificial potential field (APF) reward that ...
Thomas Hickling, Maxwell Hogan, Abdulla Tammam, Nabil Aouf   +3 more
wiley   +1 more source