1,480 research outputs found
Reactor Searches for Neutrino Magnetic Moment as a Probe of Extra Dimensions
We present calculations of the magnetic moment contribution to neutrino
electron scattering in large extra dimension brane-bulk models (LED) with three
bulk neutrinos. We discuss the cases with two and three large extra dimensions
of sizes . The calculations are done using reactor flux from Uranium,
as the neutrino source. We find that if the electron neutrino mass is
chosen to be in the range of one eV, the differential cross section for
scattering for low electron recoil energy can be of the same
order as the presently explored values in reactor experiments. Furthermore the
spectral shape for the LED models is different from the four dimensional case.
Future higher precision reactor experiments can therefore be used to provide
new constraints on a class of large extra dimension theories.Comment: 8 pages; 3 figure
Research on Issues Related to Virtual Reality Representation in Online Shopping System –Experimental Study on Spatial Location Relations among Objects Based on Visual Attention Theory
This article has studied influences of three factors namely flashing (FF), consistency (CF) and distance (DF) to spatial location array of commodity objects in online shopping system. The findings show that reaction time (RT) of subjects in still representation is shorter than that in live representation; faster in the setting of being inconsistency between commodities and their text description than that of being consistency; in the condition of both Flashing (FSH) level and Consistency (CON) level, Un-flashing (UNFSH) level and Inconsistency (INCON) level, subjects RT in the setting of commodity object being farther from its description is shorter than that in being near. The research finds no discrepancies that three factors have any impact on subjects’ accuracy rate. Further analysis finds that physical distance of commodities plays a major role in affecting spatial location array of objects, while conceptual distance ranks on the second place. Location-based visual attention has the biggest impact on spatial location relation of virtual reality setting, and object-based visual attention plays a second largest impact. The impact would be highly impressive when either physical distant or conceptual distance is conformed to experiences in real life, Singleton detection mode will play a role at the situation when coincidence of the said phenomenon and real life experience is less, which means distinct flashing (FSH) will lead to better effect at this particular situation, otherwise it is worse
Collect-and-Distribute Transformer for 3D Point Cloud Analysis
Although remarkable advancements have been made recently in point cloud
analysis through the exploration of transformer architecture, it remains
challenging to effectively learn local and global structures within point
clouds. In this paper, we propose a new transformer architecture equipped with
a collect-and-distribute mechanism to communicate short- and long-range
contexts of point clouds, which we refer to as CDFormer. Specifically, we first
utilize self-attention to capture short-range interactions within each local
patch, and the updated local features are then collected into a set of proxy
reference points from which we can extract long-range contexts. Afterward, we
distribute the learned long-range contexts back to local points via
cross-attention. To address the position clues for short- and long-range
contexts, we also introduce context-aware position encoding to facilitate
position-aware communications between points. We perform experiments on four
popular point cloud datasets, namely ModelNet40, ScanObjectNN, S3DIS, and
ShapeNetPart, for classification and segmentation. Results show the
effectiveness of the proposed CDFormer, delivering several new state-of-the-art
performances on point cloud classification and segmentation tasks. The code is
available at \url{https://github.com/haibo-qiu/CDFormer}.Comment: Code is available at https://github.com/haibo-qiu/CDForme
In silico enzyme modelling
The 2013 Nobel Prize in Chemistry went to Martin Karplus, Michael Levitt and Arieh Warshel for their pioneering work on computer modelling, specifically, the \u27development of multiscale models of complex chemical systems\u27 (1). This award not only recognises the critical contributions by the three laureates to the field of molecular simulations, but also underscores the broad impact that computer simulations have made in fields as diverse as chemistry, biophysics, enzymology and material sciences. This review will present an overview of computational enzymology, a rapidly maturing field where multiscale modelling plays a key role in deciphering enzymatic catalysis (2-4)
Flavor Symmetry, Leptogenesis and Grand Unification Theories
Many neutrino experiments in the last few years
have shown concrete evidence for neutrino mass and leptonic mixing; an indication of new physics beyond the standard model. In this thesis, we systematically study the flavor symmetry indicated by the low scale neutrino experiment data with the assumption that the seesaw mechanism is the reason for the light neutrino masses.
In the flavor basis, the testable exchange symmetry between muon neutrino and tau neutrino (\mu-\tauSU(5)\sin^2\theta_{\rm
solar}\simeq1/3\mu-\tauS3S3S4SO(10)SO(10)$
model. We realize the type II seesaw dominance by invoking a warped
extra dimension, while keeping predictivity of the model
5-Chloromethyl-1,3-dimethyl-1H-pyrazole
The pyazole ring in the title compound, C6H9ClN2, is almost planar (r.m.s. deviation = 0.003 Å). In the crystal, molecules are linked by C—H⋯N interactions, forming [100] chains
- …