scholarly journals A Rotor Model with Two Gradient Static Field Shafts and a Bulk Twined Heads System

10.5772/10084 ◽  
2010 ◽  
Author(s):  
Hitoshi Ozaku
Keyword(s):  
Static Field ◽  
Rotor Model

A rotor model with two gradient static field shafts

2008 ◽  
Vol 468 (15-20) ◽  
pp. 2125-2127
Author(s):  
H. Ozaku
Keyword(s):  
Static Field ◽  
Rotor Model

scholarly journals A single-shot measurement of time-dependent diffusion over sub-millisecond timescales using static field gradient NMR

2021 ◽  
Vol 154 (11) ◽  
pp. 111105
Author(s):  
Teddy X. Cai ◽  
Nathan H. Williamson ◽  
Velencia J. Witherspoon ◽  
Rea Ravin ◽  
Peter J. Basser
Keyword(s):  
Field Gradient ◽  
Static Field ◽  
Time Dependent ◽  
Single Shot

scholarly journals Traffic Type Recognition Method for Unknown Protocol—Applying Fuzzy Inference

Electronics ◽  
2020 ◽  
Vol 10 (1) ◽  
pp. 36
Author(s):  
Sang-Won Kim ◽  
Kee-Cheon Kim
Keyword(s):  
Fuzzy Inference ◽  
Static Field ◽  
Theoretical Background ◽  
Alignment Algorithm ◽  
Traffic Classification ◽  
Recognition Method ◽  
Inference System ◽  
Traffic Characteristics ◽  
Sequence Alignment Algorithm ◽  
Low Performance

In this paper, we propose a system that can recognize traffic types without prior knowledge of static features such as protocol header information by combining protocol analysis based on an ecological sequence alignment algorithm in a bioinformatics and fuzzy inference system. The algorithm proposed in this paper obtained up to a 91% level of performance at a similar level to several existing algorithms in experiments using datasets containing various types of traffic. In addition, it showed an excellent accuracy of 82.5% or more even under severe conditions that lowered the amount of data to a level of at least 40% or only included data in the middle of the traffic. This shows that the problem of dependence on initial data that frequently occurs in existing machine learning and deep learning-based traffic classification algorithms does not appear in the proposed algorithm. Furthermore, based on the ability to directly extract traffic characteristics without being dependent on static field values, it has secured the ability to respond with a small number of data by taking advantage of the flexibility of the membership function of the fuzzy inference engine. Through this, the applicability to low-power and low-performance environments such as IoT networks was confirmed. In this paper, we describe in detail the theoretical background for constructing such an algorithm and relevant experiments and considerations for actual verification.

scholarly journals Use of Continuous Positive Airway Pressure (CPAP) to Limit Diaphragm Motion—A Novel Approach for Definitive Radiation Therapy for Inoperable Pleural Mesothelioma: A Pilot Study

Biology ◽  
2021 ◽  
Vol 10 (8) ◽  
pp. 711
Author(s):  
Assaf Moore ◽  
Marc J. Kindler ◽  
Aaron Max Allen
Keyword(s):  
Pilot Study ◽  
Static Field ◽  
Normal Lung ◽  
Pleural Mesothelioma ◽  
Lung Dose ◽  
Lung Inflation ◽  
Novel Approach ◽  
Recent Developments ◽  
Ct Simulation ◽  
Dose Constraints

Malignant pleural mesothelioma (MPM) is a deadly disease and radiotherapy (RT) plays an important role in its management. Recent developments in technique have made it is possible to deliver RT to MPM in the intact lung. However, it is imperative to reduce normal lung doses. We present a pilot study examining the use of CPAP and VMAT radiotherapy to reduce toxicity when treating MPM, involving three consecutive patients with MPM, not amenable to surgery, who were treated according to Helsinki committee approval. Patients were simulated using four-dimentional CT simulation with the assistance of CPAP lung inflation, then were treated using both IMRT and VMAT techniques. Radiation lung dose was optimized based on accepted lung dose constraints. Patients were followed for toxicity as well as local control and survival. Results: Three patients were treated with CPAP-based IMRT treatment. These patients tolerated the treatment and DVH constraints were able to be met. The comparison plans among the four VMAT arcs and the IMRT static field treatment were able to accomplish the treatment planning objectives without significant advantages with either technique. The treatment combined with CPAP reduced the normal lung dose in MPM patients with intact lungs. This technique is worthy of further investigation.

scholarly journals Bichromatic Photoassociation Spectroscopy for the Determination of Rotational Constants of Cs2 0 u + Long-Range State below the 6S1/2 + 6P1/2 Asymptote

Molecules ◽  
2020 ◽  
Vol 25 (17) ◽  
pp. 3963
Author(s):  
Jizhou Wu ◽  
Jie Ma ◽  
Yuqing Li ◽  
Wenliang Liu ◽  
Peng Li ◽  
...  
Keyword(s):  
Long Range ◽  
Spectroscopic Technique ◽  
Rigid Rotor ◽  
Simple Analysis ◽  
Rotational Constants ◽  
Vibrational Levels ◽  
Photoassociation Spectroscopy ◽  
Rotor Model ◽  
Good Agreement

This article demonstrates new observation of the high-resolution ro-vibrational bichromatic photoassociation spectra (BPAS) of Cs2 in the 0u+ long-range state below the asymptotes 6S1/2 + 6P1/2. By combining with a modulation spectroscopic technique, precise references of the frequency differences have been engineered through the BPAS, with which the rotational constants of low-lying vibrational levels of the Cs20u+ long-range state have been accurately determined by fitting the frequency differences to the non-rigid-rotor model. The rotational constants for the newly observed seven ro-vibrational levels are summarized and disagreement for the level ῦ = 498 is clarified. The rotational constants of different vibrational levels demonstrate strong perturbations of the related energy structures. A simple analysis is performed and shows good agreement with experimental results.

Nonlinear dynamics of particle rotor model and superdeformed bands

1997 ◽  
Vol 392 (3-4) ◽  
pp. 243-248 ◽  
Author(s):  
Ashok K. Jain ◽  
Manisha Dudeja ◽  
Sham S. Malik ◽  
Zafar Ahmed
Keyword(s):  
Nonlinear Dynamics ◽  
Superdeformed Bands ◽  
Rotor Model
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