Results 121 to 130 of about 12,248 (263)

Augmented reality

Zdravniški Vestnik, 2011
Today we can obtain in a simple and rapid way most of the information that we need. Devices, such as personal computers and mobile phones, enable access to information in different formats (written, pictorial, audio or video) whenever and wherever ...
Patrik Pucer
doaj  

Targeting ANGPTL3 and IL‐33/ST2 Ameliorates Diabetic Kidney Disease by Reducing Lipotoxicity, Alleviating Inflammation and Inhibiting Fibrosis

Advanced Science, EarlyView.
Dual targeting of ANGPTL3 and IL‐33/ST2 attenuates diabetic kidney disease by reprogramming lipid–inflammatory crosstalk. This strategy reduces renal lipotoxicity, suppresses inflammatory activation, and limits fibrotic remodeling, thereby preserving kidney structure and function and highlighting a mechanism‐guided therapeutic approach for metabolic ...
Zhuojin Li, Zhonglian Cao, Rongrui Zhou, Xu Cheng, Xiaozhi Hu, Shuwen Xu, Zihan Dou, Ling Du, Dianwen Ju   +8 more
wiley   +1 more source

Supercritical CO2‐Induced Porous MXene Films for Electromagnetic Interference Shielding and Infrared Stealth

Advanced Science, EarlyView.
The phase transition of supercritical CO2 induces the foaming of dense MXene film without compromise inherent structure of MXene nanosheet. The foamed porous MXene film manifests remarkable EMI shielding and infrared thermal camouflage performances. Moreover, the foaming strategy is broadly adaptable and can be extended to other two‐dimensional films ...
Hui Zhao, Shuai Li, Jiabei He, Tong Gao, Jingfeng Wang, Dongxiao Kan, Wangtu Huo, Lixin Chen   +7 more
wiley   +1 more source

Learning on mobile augmented reality trails of integrity and ethics. [PDF]

Res Pract Technol Enhanc Learn, 2018
Wong EYW, Kwong T, Pegrum M.
europepmc   +1 more source

Causal‐Guided Ultra‐Long‐Term Time Series Forecasting Via Anticipated Covariates

Advanced Science, EarlyView.
Often treated as unknown, information from the future remains underutilized.We demonstrate that in a coupled dynamical system, providing the future state of the effect enables accurate forecasting of the cause for a long timesteps. A time series forecasting paradigm that introduces anticipated covariates to represent such known future states is ...
Jintong Zhao, Yufei Liu, Ruixi Huang, Zhongxue Gan, Siyang Leng   +4 more
wiley   +1 more source

A direction aware predictive offloading framework for energy conscious mobile augmented reality systems. [PDF]

Sci Rep
Jebamani SA, Sathianesan GW.
europepmc   +1 more source

A Model to Support Fluid Transitions between Environments for Mobile Augmented Reality Applications. [PDF]

Sensors (Basel), 2019
Oliveira de Araújo TD, Resque Dos Santos CG, do Amor Divino Lima RS, Serique Meiguins B, Serique Meiguins B.   +4 more
europepmc   +1 more source

Polarization Dynamics in Ferroelectrics: Insights Enabled by Machine Learning Molecular Dynamics

Advanced Science, EarlyView.
Machine learning molecular dynamics is presented as a route to capture polarization switching, domain wall kinetics, topological polar textures, and polar mechanical coupling beyond the limits of conventional atomistic methods. This Perspective surveys recent progress and identifies key methodological directions, including long‐range electrostatics ...
Dongyu Bai, Ri He, Junxian Liu, Liangzhi Kou   +3 more
wiley   +1 more source

Effect of Mobile Augmented Reality Counseling on Improving Shared Decision-Making in Thoracic Surgery: Randomized Clinical Crossover Trial. [PDF]

JMIR Mhealth Uhealth
Chen YS, Hsu YC, Romalee W, Wang DH, Lai J, Huang TW, Lin KH.   +6 more
europepmc   +1 more source

Distinctive accuracy measurement of binary descriptors in mobile augmented reality. [PDF]

PLoS One, 2019
Tan SY, Arshad H, Abdullah A.
europepmc   +1 more source