Results 151 to 160 of about 59,450 (262)

Design Guidelines for Improving Mobile Sensing Data Collection: Prospective Mixed Methods Study. [PDF]

J Med Internet Res
Slade C, Benzo RM, Washington P.
europepmc   +1 more source

An Integrated Individual Environmental Exposure Assessment System for Real-Time Mobile Sensing in Environmental Health Studies. [PDF]

Sensors (Basel), 2021
Wang J, Kou L, Kwan MP, Shakespeare RM, Lee K, Park YM.   +5 more
europepmc   +1 more source

In Situ Micromechanical Study of Bimodal γ′–γ″ Precipitate Assemblies in Ni–Cr–Al–Nb Superalloy

Advanced Engineering Materials, EarlyView.
A Ni–Cr–Al–Nb superalloy with a bimodal γ′–γ″ precipitate distribution is developed. Composite precipitate assemblies form through heterogeneous nucleation, effectively impeding dislocation motion. Micropillar compression reveals high strength at room and elevated temperatures, governed by precipitate shearing, with coupled faulting mechanisms ...
Ujjval Bansal, Tae‐Hyeok Kang, Pyuck‐Pa Choi, Subin Lee, Christoph Kirchlechner   +4 more
wiley   +1 more source

Mobile sensing-based depression severity assessment in participants with heterogeneous mental health conditions. [PDF]

Sci Rep
Lamichhane B, Moukaddam N, Sabharwal A.
europepmc   +1 more source

Mobile Sensing Apps and Self-management of Mental Health During the COVID-19 Pandemic: Web-Based Survey. [PDF]

JMIR Form Res, 2021
Suruliraj B, Bessenyei K, Bagnell A, McGrath P, Wozney L, Orji R, Meier S.   +6 more
europepmc   +1 more source

Precipitation Simulations of the O‐Phase in Ti2AlNb Alloys Processed by Laser Powder Bed Fusion

Advanced Engineering Materials, EarlyView.
Simulated and experimental evolution of the O‐phase volume fraction during postprocessing of a Ti‐21Al‐25Nb (at.%) alloy processed by laser powder bed fusion. With results of sensitivity to input parameters from a thorough and quantified analysis, the interfacial energy matrix/precipitate is the most relevant input parameter for the simulation of the O‐
Silvana Tumminello, Joachim Gussone, Suzana G. Fries, Marcus Rackel, Andreas Stark, Norbert Schell, Jan Haubrich, Guillermo Requena   +7 more
wiley   +1 more source

Improving the Science of Adolescent Social Media and Mental Health: Challenges and Opportunities of Smartphone-Based Mobile Sensing and Digital Phenotyping. [PDF]

J Technol Behav Sci
Hamilton JL, Dreier MJ, Caproni B, Fedor J, Durica KC, Low CA.   +5 more
europepmc   +1 more source

Triple Junctions as Dislocation‐Like Defects: The Role of Grain Boundary Crystallography Revealed by Experiment and Atomistic Simulation

Advanced Engineering Materials, EarlyView.
Grain boundary triple junctions are an essential ingredient of the microstructure of polycrystalline materials. In this study, a triple junction is observed using atomic‐resolution scanning transmission electron microscopy and characterized. Computer simulations reveal that the junction has a dislocation character that is determined by the joining ...
Tobias Brink, Saba Saood, Peter Schweizer, Jörg Neugebauer, Gerhard Dehm   +4 more
wiley   +1 more source

Advanced applications in chronic disease monitoring using IoT mobile sensing device data, machine learning algorithms and frame theory: a systematic review. [PDF]

Front Public Health
Liu Y, Wang B.
europepmc   +1 more source

Using mobile sensing data to assess stress: Associations with perceived and lifetime stress, mental health, sleep, and inflammation. [PDF]

Digit Health, 2021
Byrne ML, Lind MN, Horn SR, Mills KL, Nelson BW, Barnes ML, Slavich GM, Allen NB.   +7 more
europepmc   +1 more source