Resolution of identity Dirac-Kohn-Sham method using the large component only: Calculations of g-tensor and hyperfine tensor

2006 ◽  
Vol 124 (8) ◽  
pp. 084108 ◽  
Author(s):  
Stanislav Komorovský ◽  
Michal Repiský ◽  
Olga L. Malkina ◽  
Vladimir G. Malkin ◽  
Irina Malkin ◽  
...  
Keyword(s):  
Large Component ◽  
Hyperfine Tensor

Size effect in selective laser melting additive manufacturing of 700 mm large component

2022 ◽  
Vol 75 ◽  
pp. 125-137
Author(s):  
Haolin Jia ◽  
Hua Sun ◽  
Hongze Wang ◽  
Yi Wu ◽  
Haowei Wang
Keyword(s):  
Additive Manufacturing ◽  
Size Effect ◽  
Selective Laser Melting ◽  
Laser Melting ◽  
Large Component

COSMIC ORIGIN OF QUANTIZATION

2004 ◽  
Vol 18 (04n05) ◽  
pp. 519-525 ◽  
Author(s):  
FRANCESCO CALOGERO
Keyword(s):  
Angular Momentum ◽  
Spatial Coherence ◽  
Simplified Model ◽  
Nucleon Mass ◽  
Universal Gravitation ◽  
Large Component ◽  
Missing Mass ◽  
Order Of Magnitude ◽  
The Universe ◽  
Cosmic Origin

An estimate is presented of the angular momentum associated with the stochastic cosmic tremor, which has been hypothesized to be caused by universal gravitation and by the granularity of matter, and to be itself the cause of quantization ("cosmic origin of quantization"). If that universal tremor has the spatial coherence which is instrumental in order that the estimated action associated with it have the order of magnitude of Planck's constant h, then the estimated order of magnitude of the angular momentum associated with it also has the same value. We moreover indicate how these findings (originally based on a simplified model of the Universe, as being made up only of particles having the nucleon mass) are affected (in fact, essentially unaffected) by the possible presence in the mass of the Universe of a large component made up of particles much lighter than nucleons ("dark", or "missing", mass).

A Quantitative Method for Measuring Health of Authoritative Name Servers

2022 ◽  
Vol 16 (1) ◽  
pp. 0-0
Keyword(s):  
Quantitative Method ◽  
Large Scale ◽  
Critical Infrastructure ◽  
Research Work ◽  
Abnormal Behavior ◽  
The Internet ◽  
Large Component ◽  
Internet Community ◽  
Critical Components ◽  
Typical User

The Domain Name System - DNS is regarded as one of the critical infrastructure component of the global Internet because a large-scale DNS outage would effectively take a typical user offline. Therefore, the Internet community should ensure that critical components of the DNS ecosystem - that is, root name servers, top-level domain registrars and registries, authoritative name servers, and recursive resolvers - function smoothly. To this end, the community should monitor them periodically and provide public alerts about abnormal behavior. The authors propose a novel quantitative approach for evaluating the health of authoritative name servers – a critical, core, and a large component of the DNS ecosystem. The performance is typically measured in terms of response time, reliability, and throughput for most of the Internet components. This research work proposes a novel list of parameters specifically for determining the health of authoritative name servers: DNS attack permeability, latency comparison, and DNSSEC validation.

An abundance- and morphology-based similarity index

Paleobiology ◽  
2021 ◽  
pp. 1-18
Author(s):  
Daniel G. Dick ◽  
Marc Laflamme
Keyword(s):  
River Flow ◽  
Similarity Index ◽  
Ecological Gradients ◽  
Jaccard Similarity ◽  
Real World Data ◽  
Large Component ◽  
Morphological Gradient ◽  
Random Samples ◽  
Similarity Indices ◽  
General Method

Abstract Classic similarity indices measure community resemblance in terms of incidence (the number of shared species) and abundance (the extent to which the shared species are an equivalently large component of the ecosystem). Here we describe a general method for increasing the amount of information contained in the output of these indices and describe a new “soft” ecological similarity measure (here called “soft Chao-Jaccard similarity”). The new measure quantifies community resemblance in terms of shared species, while accounting for intraspecific variation in abundance and morphology between samples. We demonstrate how our proposed measure can reconstruct short ecological gradients using random samples of taxa, recognizing patterns that are completely missed by classic measures of similarity. To demonstrate the utility of our new index, we reconstruct a morphological gradient driven by river flow velocity using random samples drawn from simulated and real-world data. Results suggest that the new index can be used to recognize complex short ecological gradients in settings where only information about specimens is available. We include open-source R code for calculating the proposed index.

CT Multiscan: Using Small Area Detectors to Image Large Components

1995 ◽  
Author(s):  
E. A. Sivers ◽  
W. A. Ellingson ◽  
S. A. Snyder ◽  
D. A. Holloway
Keyword(s):  
Small Area ◽  
Dynamic Range ◽  
Three Dimensional ◽  
Two Dimensional ◽  
Large Component ◽  
X Ray ◽  
Area Detector ◽  
Longest Path ◽  
Ceramic Components ◽  
X Ray Computed

The small size and dynamic range of the best two-dimensional X-ray detectors are impediments to the use of three-dimensional X-ray computed tomography (3D-XRCT) for 100% inspection of large ceramic components. The most common industrial 3D-XRCT systems use a “rotate-only” geometry in which the X-ray source and the area detector remain stationary while the component placed between them is rotated through 360°. This configuration offers the highest inspection speed and the best utilization of X-ray dose, but requires that the component be small enough to fit within the X-ray/detector “cone.” Also, if the object is very dense, the ratio of an unattenuated X-ray signal to that through the longest path in the component may exceed the dynamic range of the detector. To some extent, both of these disadvantages can be overcome by using “Multiscan CT,” i.e., scanning small overlapping regions of a large component separately while maximizing the X-ray dose to each. The overlapping scans can then be combined seamlessly into a single scan with optimal contrast.

α-PARTICLE CONDENSED STATE IN 16O

2009 ◽  
Vol 18 (10) ◽  
pp. 2083-2087
Author(s):  
Y. FUNAKI ◽  
T. YAMADA ◽  
H. HORIUCHI ◽  
G. RÖPKE ◽  
P. SCHUCK ◽  
...  
Keyword(s):  
Excited State ◽  
Strong Evidence ◽  
The State ◽  
Orthogonality Condition ◽  
Condensed State ◽  
Density Structure ◽  
Large Component ◽  
Condition Model ◽  
Strong Enhancement ◽  
Α Particles

The α-particle condensed state in 16 O is investigated by the use of 4α OCM (Orthogonality Condition Model). Low-lying spectrum in experiment is well reproduced up to around the 4α threshold. Furthermore, the excited state obtained around the 4α threshold as the [Formula: see text] state is shown to have a dilute density structure and give strong enhancement of the occupation of the S-state c.o.m. orbital of the α-particles. This is strong evidence that the state is regarded as the 4α condensed state. It also has a large component of [Formula: see text] configuration, which is another reliable evidence of the state to be of 4α condensate nature.

Meso-Scale Oriented Physical Simulation Model for Complex Product Maintenance in Virtual Environment

2013 ◽  
Vol 706-708 ◽  
pp. 1954-1957
Author(s):  
Gao Liang Peng ◽  
Hong Liang ◽  
Xin Li
Keyword(s):  
Physical Simulation ◽  
Significant Loss ◽  
Engineering Problem ◽  
Large Component ◽  
Operation Process ◽  
Simulation Strategy ◽  
Practical Engineering ◽  
Surface Visualization ◽  
Practical Engineering Problem ◽  
Important Significance

Large component disassembly is complex tasks, the collision during the operation process often cause component damage and deform, even bring safe accident and result in significant loss. This paper proposes to use Meso-dimential oriented physical simulation strategy to research the collision effect simulation and damage surface visualization of large component during disassembly operation. Meso-collide behavior of multi-particles is adapted to simulate the macro-collision of large component. The method has important significance for expanding the mechanical simulation theory and solving the complex practical engineering problem.

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