7,173 research outputs found
Dimensions of fractals related to languages defined by tagged strings in complete genomes
A representation of frequency of strings of length K in complete genomes of
many organisms in a square has led to seemingly self-similar patterns when K
increases. These patterns are caused by under-represented strings with a
certain "tag"-string and they define some fractals when K tends to infinite.
The Box and Hausdorff dimensions of the limit set are discussed. Although the
method proposed by Mauldin and Williams to calculate Box and Hausdorff
dimension is valid in our case, a different and simpler method is proposed in
this paper.Comment: 9 pages with two figure
Electron Flavored Dark Matter
In this paper we investigate the phenomenology of the electron flavored Dirac
dark matter with two types of portal interactions. We analyze constraints from
the electron magnetic moment anomaly, LHC searches of singly charged scalar,
dark matter relic abundance as well as direct and indirect detections. Our
study shows that the available parameter space is quite constrained, but there
are parameter space that is compatible with the current data. We further show
that the DAMPE cosmic ray electron excess, which indicates cosmic ray excess at
around 1.5 TeV, can be interpreted as the annihilation of dark matter into
electron positron pairs in this model.Comment: 6 pages, 5 figure
Factors Influencing Dental Implant Survival & Success: A Retrospective Study
Background: With the increasing number of implants affected by peri-implant diseases, disease prevention by identifying and managing risk factors are crucial. Therefore, the aim of this study was to study the odds ratios (ORs) of various risks related to implant success. Materials and Methods: Subjects with at least one implant placed and with periapical or bitewing radiographs taken at the time of prosthesis placement and at least one year follow-up after implant restoration were included. Data at patient and implant level, including surgical related factors, restorative related factors, and peri-implant parameters were recorded. The associations and ORs between implant success and the recorded variables were analyzed. Results: A total of 550 implants (mean 6.25 year follow-up) from 200 subjects were included. Treatment success was found in 75.5% of the subjects and 71.82% of the implants. Implant success is associated with the following variables: non-smokers (OR= 3.68), non-diabetes (OR= 5.85), healthy periodontium (OR= 7.13), and single implant placement (OR= 3.58). At implant level, implant success is associated with provider experiences (OR= 4.40). Furthermore, implant-supported single crowns were found with higher success rate compared to bridge restoration (OR= 3.62); implant-supported restorations without cantilever design had higher success rate (OR= 6.94). Probing depth (OR= 3.51) was also found to be negatively associated with implant success. Conclusion: Prevalence of peri-implant diseases (peri-implant mucositits and peri-implantitis) is high, affecting 69.5% of the patients and 77.6% of the implants. Factors such as smoking, diabetes, history of periodontal disease, number of implants placed, provider level, restoration type and cantilever design have significant impact on implant success. Probing depth is a good indicator to determine peri-implant health but not bleeding on probing.Master of SciencePeridonticsUniversity of Michiganhttp://deepblue.lib.umich.edu/bitstream/2027.42/122727/1/Risk_Factors_of_Dental_Implant_Survival_0630.pd
An efficient and low-divergence method for generating inhomogeneous and anisotropic turbulence with arbitrary spectra
In this article, we propose a divergence-free method for the generation of
inhomogeneous and anisotropic turbulence. Based on the idea of correlation
reconstruction, the method uses the Cholesky decomposition matrix to
re-establish the turbulence correlation functions, which avoids the
time-consuming procedure that solves eigenvalues and eigenvectors in every
location needed by the coordinate transformation in the conventional method and
thus reduces the computational complexity and improves the efficiency of
generating synthetic turbulence. Through adjusting the generation strategy of
specific random vectors, the proposed method, which is based on the classical
spectrum-based method widely used to generate uniform isotropic turbulence, can
obtain inhomogeneous and anisotropic turbulence with a relatively low
divergence level in practice with almost no additional computational burden.
There are two versions of this new method: the shifter version and the inverter
version. Both versions of the method are highly efficient, easy to implement,
and compatible with high-performance computing. Suitable for providing
high-quality initial or boundary conditions for scale-resolving turbulence
simulations with large grid numbers (such as direct numerical simulation or
large eddy simulation), this method can be quickly implemented either based on
various open-source CFD codes or common commercial CFD software
A Hybrid Genetic-Simulated Annealing Algorithm for the Location-Inventory-Routing Problem Considering Returns under E-Supply Chain Environment
Facility location, inventory control, and vehicle routes scheduling are critical and highly related problems in the design of logistics system for e-business. Meanwhile, the return ratio in Internet sales was significantly higher than in the traditional business. Many of returned merchandise have no quality defects, which can reenter sales channels just after a simple repackaging process. Focusing on the existing problem in e-commerce logistics system, we formulate a location-inventory-routing problem model with no quality defects returns. To solve this NP-hard problem, an effective hybrid genetic simulated annealing algorithm (HGSAA) is proposed. Results of numerical examples show that HGSAA outperforms GA on computing time, optimal solution, and computing stability. The proposed model is very useful to help managers make the right decisions under e-supply chain environment
Dynamics in direct two-photon transition by frequency combs
Two-photon resonance transition technology has been proven to have a wide
range of applications,it's limited by the available wavelength of commercial
lasers.The application of optical comb technology with direct two-photon
transition (DTPT) will not be restricted by cw lasers.This article will further
theoretically analyze the dynamics effects of the DTPT process driven by
optical frequency combs. In a three-level atomic system, the population of
particles and the amount of momentum transfer on atoms are increased compared
to that of the DTPT-free process. The 17% of population increasement in 6-level
system of cesium atoms has verified that DTPT process has a robust enhancement
on the effect of momentum transfer. It can be used to excite the DTPTs of
rubidium and cesium simultaneously with the same mode-locked laser. And this
technology has potential applications in cooling different atoms to obtain
polar cold molecules, as well as high-precision spectroscopy measurement.Comment: 7 pages, 7 figure
The Significance of Keratinized Mucosa on Implant Health: A Systematic Review
Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/142238/1/jper1755-sup-0012.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/142238/2/jper1755.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/142238/3/jper1755-sup-0011.pd
- âŠ