Interdependence between physical parameters and selection of substituent groups for correlation studies

1971 ◽  
Vol 14 (8) ◽  
pp. 680-684 ◽  
Author(s):  
Paul N. Craig
Keyword(s):  
Physical Parameters ◽  
Correlation Studies ◽  
Selection Of

scholarly journals Nanometre-Scale Visualization of Chemical Parameter Changes by T1-Weighted ODMR Imaging Using a Fluorescent Nanodiamond

Chemosensors ◽  
2020 ◽  
Vol 8 (3) ◽  
pp. 68
Author(s):  
Takahiro Fujisaku ◽  
Ryuji Igarashi ◽  
Masahiro Shirakawa
Keyword(s):  
Magnetic Resonance ◽  
Laser Pulse ◽  
Real Time ◽  
Physical Parameters ◽  
Biological Processes ◽  
Chemical Parameter ◽  
Ph Conditions ◽  
Optically Detected ◽  
Life Phenomena ◽  
Selection Of

The dynamics of physical parameters in cells is strongly related to life phenomena; thus, a method to monitor and visualize them on a single-organelle scale would be useful to reveal unknown biological processes. We demonstrate real-time nanometre-scale T1-weighted imaging using a fluorescent nanodiamond. We explored optically detected magnetic resonance (ODMR) contrast at various values of interval laser pulse (τ), showing that sufficient contrast is obtained by appropriate selection of τ. By this method, we visualized nanometre-scale pH changes using a functionalized nanodiamond whose T1 has a dependence on pH conditions.

A statistical analysis of low-stress mechanical properties of warp-knitted fabrics

2016 ◽  
Vol 88 (4) ◽  
pp. 467-479 ◽  
Author(s):  
Ka-yan Yim ◽  
Chi-wai Kan
Keyword(s):  
Mechanical Properties ◽  
Evaluation System ◽  
Natural Fibers ◽  
Physical Parameters ◽  
Knitted Fabrics ◽  
Fabric Hand ◽  
Low Stress Mechanical Properties ◽  
Fabric Weight ◽  
Fabric Structures ◽  
Selection Of

Fabric hand is an indispensable characteristic for the selection of fabric and product development and the buying consideration for manufacturers and consumers. However, there is little comprehensive work on the hand feel property of warp-knitted fabrics due to the mainstream natural fibers (cotton, wool and silk) and other fabric structures (woven, weft-knitted and nonwoven). The increasing potential for the wide variety of applications and development of warp-knitted fabrics is not only because its fabric hand gives better determination for fabric marketing, but also because it provides extensive scope for fabric performance and appearance. This paper reports an experimental study on the integrated fabric hand behavior of a series of warp-knitted fabrics made for various apparel applications, such as sportswear, lingerie and leisure wear. These 105 fabrics were produced by varying different physical parameters, including fabric weight and fabric thickness. The Kawabata Evaluation System for Fabric (KES-F) was employed to obtain the fabric hand properties (primary hand value and total hand value) related with stiffness, smoothness and softness. All low-stress mechanical properties and fabric hand values from the testing results were used to verify the applicability of the KES-F on warp-knitted fabrics and to analyze the relationships of fabric parameters and hand characteristics. The results indicate that the KES-F is an appropriate tool to measure the hand attributes of warp-knitted samples, and moderate correlations between physical properties and mechanical behavior were found.

Optimization of space-constrained micro-perforated absorbers by causality criteria

2021 ◽  
Vol 263 (6) ◽  
pp. 275-286
Author(s):  
Teresa Bravo ◽  
Cedric Maury
Keyword(s):  
Absorption Coefficient ◽  
Low Frequency ◽  
Single Layer ◽  
Optimization Procedure ◽  
Separation Distance ◽  
Physical Parameters ◽  
Total Absorption ◽  
Causality Criterion ◽  
Selection Of ◽  
Total Absorption Coefficient

The problem of space-constrained absorbers in the low frequency range constitutes an area of continuous research. Micro-perforated panels are advantageous because they can be tuned by a proper selection of their constitutive physical parameters including the diameter of the perforations and their separation distance, their thickness and the length of the backing cavity. However, such optimal selection is not straightforward, especially when considering multi-layer partitions. Current optimization algorithms are based on the maximization of the total absorption coefficient averaged over a frequency band, that requires a compromise between the bandwidth and the thickness of the control device. In this work, the problem is analysed on the basis of a causality criterion. This principle is generalized from its formulation in the field of electromagnetism to obtain a relation that correlates the thickness-to-bandwidth performance of a micro-perforated absorber to its total absorption coefficient. Using this relation, an optimization procedure is presented for the sequential selection of the optimal physical parameters for single-layer partitions. An excellent agreement has been found between the optimal values obtained by the causality criterion and those achieved by critical coupling conditions.

Determination of the limits of stable combustion at high supersonic flow velocities in a channel

2010 ◽  
Vol 3 (2) ◽  
pp. 47-60
Author(s):  
Alexey V. Starov
Keyword(s):  
Paper Analysis ◽  
Measurement Methods ◽  
Experimental Results ◽  
Physical Parameters ◽  
Supersonic Speed ◽  
Combustion Limits ◽  
Criterial Description ◽  
Selection Of ◽  
Good Agreement

In this paper, analysis of existing methods application of criterial description of ignition conditions and combustion break-out for summarizing of experimental results is carried out. Experimental results are obtained at investigations of hydrogen combustion in combustor with high supersonic speed of airflow. For these conditions selection of several criterions was substantiated and they have a good agreement with new experimental results. At the same time complexity of determination of experimental physical parameters, which are included in criterions, do not allow confidently to apply them for prediction of steady-state combustion limits. Therefore further accumulation of experimental data and development of measurement methods are necessary for accurate criterions obtaining.

scholarly journals Biofilms and hygiene on dairy farms and in the dairy industry: sanitation chemical products and their effectiveness on biofilms – a review

2008 ◽  
Vol 26 (No. 5) ◽  
pp. 309-323 ◽  
Author(s):  
H. Vlková ◽  
V. Babák ◽  
R. Seydlová ◽  
I. Pavlík ◽  
J. Schlegelová
Keyword(s):  
Raw Materials ◽  
Dairy Industry ◽  
Dairy Farms ◽  
Physical Parameters ◽  
Model Studies ◽  
Piping Systems ◽  
Specific Contact ◽  
Number Of Microorganisms ◽  
Materials Used ◽  
Selection Of

Microbial biofilms which form on all types of surfaces of technological systems in the dairy industry and on dairy farms adversely affect the quality and safety of final products, i.e. both foodstuffs and raw materials used for their production. The fact that a number of microorganisms are alimentary pathogens, e.g. <I>Staphylococcus aureus</I> or <I>Listeria monocytogenes,</I> makes a serious problem directly affecting human health. Biofilms are usually formed by various species of microorganism, which protect each other against the effects of biocidal (antibacterial) agents and are resistant to these agents. The colonisation of surfaces of the open and closed piping systems, floors, waste, walls and ceilings of the production halls becomes a major problem in the selection of effective sanitation agents for their control. Based on the existing model studies, practical methods for testing the effectiveness of sanitation procedures should be evaluated, including the selection of biocides and comparison of the physical parameters of the sanitation procedures. Testing the effectiveness of the sanitation agents should be performed with the use of standardised tests, which consider microbial, structural, and chemical characteristics of the living microbial communities on specific contact surfaces in the food-processing industry.

Synthesizing Single DOF Linkages Via Transition Linkage Identification

2007 ◽  
Vol 130 (2) ◽  
Author(s):  
Andrew P. Murray ◽  
Michael L. Turner ◽  
David T. Martin
Keyword(s):  
Classification Scheme ◽  
Degree Of Freedom ◽  
Physical Parameters ◽  
Single Degree Of Freedom ◽  
Loop Closure ◽  
Single Degree ◽  
The Matrix ◽  
Comprehensive Classification ◽  
Insight Into ◽  
Selection Of

A linkage is partially classified by identifying those links capable of unceasing and drivable rotation and those that are not. In this paper, we examine several planar single degree-of-freedom linkages to identify all changes to the physical parameters that may alter this classification. The limits on the physical parameters that result in no change in the classification are defined by transition linkages. More rigorously, a transition linkage possesses a configuration at which the matrix defined by the derivative of the loop closure equations with respect to the joint variables loses rank. Transition linkages divide the set of all linkages into different classifications. In the simplest cases studied, transition linkage identification produces a comprehensive classification scheme. In all cases, this identification is used to alter a linkage’s physical parameters without changing its classification and produces insight into the selection of these parameters to produce a desired classification.

scholarly journals Machine Learning-Based Multidomain Processing for Texture-Based Image Segmentation and Analysis

2020 ◽  
Author(s):  
Nikolay Borodinov ◽  
Wan-Yu Tsai ◽  
Vladimir V. Korolkov ◽  
Nina Balke ◽  
Sergei Kalinin ◽  
...  
Keyword(s):  
Machine Learning ◽  
Topological Defects ◽  
Physical Parameters ◽  
General Strategy ◽  
Nanoscale Systems ◽  
Force Microscopy ◽  
Atomic Force ◽  
Periodical Structure ◽  
Physical And Chemical ◽  
Selection Of

<a>Atomic and molecular resolved atomic force microscopy (AFM) images </a>offer unique insights into materials properties such as local ordering, molecular orientation and topological defects, which can be used to pinpoint physical and chemical interactions occurring at the surface. Utilizing machine learning for extracting underlying physical parameters increases the throughput of AFM data processing and eliminates inconsistencies intrinsic to manual image analysis thus enabling the creation of reliable frameworks for qualitative and quantitative evaluation of experimental data. Here, we present a robust and scalable approach to the segmentation of AFM images based on flexible pre-selected classification criteria. Usage of supervised learning and feature extraction allows to retain the consideration of specific problem-dependent features (such as types of periodical structure observed in the images and the associated numerical parameters: spacing, orientation, etc.). We highlight the applicability of this approach for segmentation of molecular resolved AFM images based on crystal orientation of observed domains, automated selection of boundaries and collection of relevant statistics. Overall, we outline a general strategy for machine learning-enabled analysis of nanoscale systems exhibiting periodic order that could be applied to any analytical imaging technique.

scholarly journals CONTAINMENT STRATEGIES FOR MARINE OIL SPILLS IN NEARSHORE WATERS

1985 ◽  
Vol 1985 (1) ◽  
pp. 113-120
Author(s):  
E. H. Owens ◽  
H. H. Roberts ◽  
S. P. Murray ◽  
C. R. Foget
Keyword(s):  
Water Surface ◽  
Oil Spills ◽  
Low Energy ◽  
Physical Parameters ◽  
Tidal Forces ◽  
Nearshore Environments ◽  
Circulation Patterns ◽  
Marine Oil Spills ◽  
Tidal Stage ◽  
Selection Of

ABSTRACT The movement of oil on the water surface is a result of meteorologic and oceanographic processes. Attempts to contain or divert surface oil using booms should factor these processes into the development of deployment tactics. Attempts to deploy booms, disregarding physical and environmental conditions often have met with failure. Differing physical parameters affect water circulation and the movement of oil in the nearshore environments of reef/lagoon and barrier inlet systems; generalized models identify the primary features of each of these two systems for selection of appropriate methods of boom deployment. Circulation patterns across reefs are dominated by wave-driven and tidal-driven forces that carry water across the reef crest into the low energy lagoonal environment. Within the lagoon, tidal and wind stress forces become important factors that drive the circulation systems. Barrier island inlets that form in meso-tidal environments have circulation patterns that are dominated by cyclical tidal forces. In the narrow inlet throats current velocities are frequently too great for booms to contain oil. In this situation diversion of surface oil to areas of low current speeds can be used to protect sensitive lagoonal environments. During the early stages of a flooding tide, current inflow through the inlet is in marginal channels and at this tidal stage oil could be diverted to the shoreline before it enters the inlet throat.

scholarly journals Preparing the COROT Space Mission: Building A Photometric and Variability Database of Stars in its Field of View

2004 ◽  
Vol 193 ◽  
pp. 564-568
Author(s):  
P.J. Amado ◽  
R. Garrido ◽  
E. Poretti ◽  
E. Michel
Keyword(s):  
A Priori ◽  
Space Mission ◽  
Field Of View ◽  
High Angular Resolution ◽  
Physical Parameters ◽  
Suitable Candidate ◽  
Resolution Imaging ◽  
Stellar Interiors ◽  
Echelle Spectroscopy ◽  
Selection Of

The CNES/European space mission COROT will monitor asteroseismic targets located in selected fields to probe stellar interiors. Therefore, suitable candidate targets have to be searched for in order to optimize the scientific return of the mission. However, to be able to use the asteroseismic tools on the stars, their physical parameters must be known in advance. In this work, we detail the process of building a photometric database of all the stars brighter than V = 8.0 in the field of view of COROT and the process of selecting suitable δ Sct and γ Dor-type stars for the mission.For an optimal selection of the seismology targets (for both COROT programs devoted to asteroseismology, i.e., the core and exploratory ones), it is essential to gather a priori as much information as possible on all potential candidates. With this aim, Strömgren-Crawford uvby-Hβ and Ca II H&K photometry were obtained for all of them. These data have been used to derive estimates of their effective temperatures, surface gravities and metallicities. These observations, together with high resolution echelle spectroscopy and high angular resolution imaging observations, are components of an ambitious ground-based program.

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