Results 11 to 20 of about 38,737 (103)
Dynamic, Tunable, and Conformal Wearable Compression Using Active Textiles
Advanced Materials Technologies, Volume 7, Issue 12, December 2022., 2022 Dynamic, low‐profile, and fully textile‐based medical compression garments are developed to demonstrate deployable actuation using thermally responsive and highly hysteretic NiTi materials that maintain a high force state upon cooling to match the skin surface temperature.
Rachael Granberry +10 more
wiley +1 more source
Scientific Programming, Volume 2022, Issue 1, 2022., 2022 In recent years, because of the popularity of the internet and mobile devices, the dissemination of new media in social networks has attracted extensive attention from scholars and the industry. Scale prediction or propagation speed prediction is to use the initial data to predict the propagation scale of the network.
Chen Qiumeng, Shen Yu, Lianhui Li
wiley +1 more source
On the Impact of the LHC Run 2 Data on General Composite Higgs Scenarios
Advances in High Energy Physics, Volume 2022, Issue 1, 2022., 2022 We study the impact of Run 2 LHC data on general composite Higgs scenarios, where nonlinear effects, mixing with additional scalars, and new fermionic degrees of freedom could simultaneously contribute to the modification of Higgs properties. We obtain new experimental limits on the scale of compositeness, the mixing with singlets and doublets with the
Charanjit K. Khosa +2 more
wiley +1 more source
, 2023 Journal of Medical Radiation Sciences, Volume 70, Issue S1, Page 3-81, April 2023.
wiley +1 more source
Advances in High Energy Physics, Volume 2019, Issue 1, 2019., 2019 Very recently novel implementation of type‐II seesaw mechanism for neutrino mass has been proposed in SU(5) grand unified theory with a number of desirable new physical phenomena beyond the standard model. Introducing heavy right‐handed neutrinos and extra fermion singlets, in this work we show how the type‐I seesaw cancellation mechanism works in this
M. K. Parida +2 more
wiley +1 more source
11th Asian Conference on Emergency Medicine (ACEM) 2021 Conference proceedings
, 2022 Hong Kong Journal of Emergency Medicine, Volume 29, Issue S1, Page 2S-87S, June 2022.
wiley +1 more source
Singlet Fermion Assisted Dominant Seesaw with Lepton Flavor and Number Violations and Leptogenesis
Advances in High Energy Physics, Volume 2017, Issue 1, 2017., 2017 Embedding type I seesaw in GUTs, left‐right gauge theories, or even in extensions of the SM requires large right‐handed neutrino masses making the neutrino mass generation mechanism inaccessible for direct experimental tests. This has been circumvented by introducing additional textures or high degree of fine‐tuning in the Dirac neutrino or right ...
M. K. Parida +2 more
wiley +1 more source
Exploring New Models in All Detail with SARAH
Advances in High Energy Physics, Volume 2015, Issue 1, 2015., 2015 I give an overview about the features the Mathematica package SARAH provides to study new models. In general, SARAH can handle a wide range of models beyond the MSSM coming with additional chiral superfields, extra gauge groups, or distinctive features like Dirac gaugino masses.
Florian Staub, Gordon Kane
wiley +1 more source
Advances in High Energy Physics, Volume 2014, Issue 1, 2014., 2014 In the last decades, a very important breakthrough has been brought about in the elementary particle physics by the discovery of the phenomenon of the neutrino oscillations, which has shown neutrino properties beyond the Standard Model. But a full understanding of the various aspects of the neutrino oscillations is far to be achieved. In this paper the
G. Bellini +4 more
wiley +1 more source
Optimized Reputable Sensing Participants Extraction for Participatory Sensor Networks
Mathematical Problems in Engineering, Volume 2014, Issue 1, 2014., 2014 By collecting data via sensors embedded personal smart devices, sensing participants play a key role in participatory sensor networks. Using information provided by reputable sensing participants ensures the reliability of participatory sensing data.
Weiwei Yuan +3 more
wiley +1 more source