scholarly journals Superhumps in the SU UMa Star AK CNC

1996 ◽  
Vol 158 ◽  
pp. 61-62
Author(s):  
R. Mennickent ◽  
D. Nogami ◽  
T. Kato ◽  
W. Worraker
Keyword(s):  
Orbital Period ◽  
Secondary Peak ◽  
Wave Modulation ◽  
Peak Structure ◽  
Homogeneous Set ◽  
Data Points ◽  
Future Publication ◽  
The Relationship ◽  
Linear Trends ◽  
Eruption Duration

AbstractWe have observed AK Cnc during the 1995 March superoutburst, by means of differential V – U photometry. The observations were obtained at Las Campanas (Chile), Ouda Station (Kyoto, Japan) and in England. Superhumps with amplitude 0.2 mag appeared at least 4d after maximum. They evolved from a single peak structure, developing a secondary peak during decline, until they reached a double-wave modulation with 0.05 mag amplitude, after 8 d. After removing linear trends in our data, the following ephemeris was found:This superhump period was confirmed, independently, with our homogeneous set of 462 V magnitudes, obtained at LCO, then adding 63 U data points and finally considering all the dataset, consisting of 789 V + U magnitudes. The superhump period is slightly larger than that reported by Kato (1995) during the 1992 January superoutburst (0.06735(5)d). Our results imply an orbital period Porb = 0.065(2) d, using the relationship given by Howell & Hurst (1994). The eruption duration was ≳ 10 d, and its amplitude > 6 mag. An abrupt and short luminosity decrease occured ≈ 12 d after maximum. Eleven outbursts have been observed since 1992 January, being the minimum reported lag between successive eruptions: 40 d. More details will be given in a future publication.

Identifying Physico-Chemical Laws from the Robotically Collected Data

2019 ◽  
Author(s):  
Liwei Cao ◽  
Danilo Russo ◽  
Vassilios S. Vassiliadis ◽  
Alexei Lapkin
Keyword(s):  
Experimental Data ◽  
Numerical Models ◽  
Predictor Variable ◽  
Physical Models ◽  
Training Data ◽  
Mixed Integer ◽  
Physico Chemical ◽  
Data Points ◽  
Future Work ◽  
The Relationship

<p>A mixed-integer nonlinear programming (MINLP) formulation for symbolic regression was proposed to identify physical models from noisy experimental data. The formulation was tested using numerical models and was found to be more efficient than the previous literature example with respect to the number of predictor variables and training data points. The globally optimal search was extended to identify physical models and to cope with noise in the experimental data predictor variable. The methodology was coupled with the collection of experimental data in an automated fashion, and was proven to be successful in identifying the correct physical models describing the relationship between the shear stress and shear rate for both Newtonian and non-Newtonian fluids, and simple kinetic laws of reactions. Future work will focus on addressing the limitations of the formulation presented in this work, by extending it to be able to address larger complex physical models.</p><p><br></p>

scholarly journals The doctoral dissertation and scholarly communication: Adapting to changing publication practices among graduate students

2018 ◽  
Vol 79 (1) ◽  
pp. 34 ◽  
Author(s):  
Roxanne Shirazi
Keyword(s):  
Graduate Students ◽  
Graduate School ◽  
Scholarly Communication ◽  
Doctoral Dissertation ◽  
Copyright Transfer ◽  
Graduate Research ◽  
Future Publication ◽  
Electronic Theses And Dissertations ◽  
The Relationship ◽  
Theses And Dissertations

When I first began working with electronic theses and dissertations (ETDs), the conversation in libraries appeared to revolve around open access and publication embargoes. It seemed to me that the primary task for scholarly communication librarians in this area was to broaden access to graduate research while protecting future publication opportunities for individual authors. As graduate students begin to publish earlier in their careers, the relationship between the doctoral dissertation and scholarly publishing is evolving. Many students now include their own previously published work in a dissertation, requiring instruction in publication contracts and copyright transfer agreements at the point of submission to the graduate school.

Field Assisted Sintering Technology (FAST) Model for Prediction of Final Properties

2010 ◽  
Author(s):  
Rajiv Paul ◽  
Anil K. Kulkarni ◽  
Jogender Singh
Keyword(s):  
Electrical Breakdown ◽  
Extensive Literature ◽  
Heating Rates ◽  
Predictive Tool ◽  
Simultaneous Application ◽  
Plasma Sintering ◽  
Spark Plasma ◽  
Data Points ◽  
Field Assisted Sintering ◽  
The Relationship

Sintering is the process of making materials from powder form by heating the powder below its melting point until the particles fuse to each other. Field assisted sintering technology (FAST), also sometimes known as spark plasma sintering (SPS), uses a pulsed and/or continuous electric current along with the simultaneous application of compressive pressure which leads to extremely high heating rates and short processing durations. A high relative density and small grain size promote superior properties such as greater hardness and electrical breakdown. Hence, selection of the proper sintering parameters is of paramount importance and a predictive model would be extremely useful in narrowing the range of experimental parameters. This will drastically reduce the number of extra attempts at obtaining certain properties in a material and save experimentation time, effort and material to name a few. Four of the most important FAST parameters: target temperature, holding time, heating rate and initial particle size, have been reviewed to assess their effect on the densification, hardening and grain growth of Alumina, Copper, Silicon Carbide, Tungsten and Tungsten Carbide through extensive literature survey. The relationship between each has been incorporated in a Microsoft Excel program which acts as a predictive tool to determine an estimate of the final properties based on the initial parameters chosen. This is done by curve fitting a polynomial onto the existing data points as closely as possible and using the polynomial to obtain final properties as a function of the initial parameters. The model was verified against an existing paper which sought to obtain the optimum sintering parameters for Copper. While the actual experimentation range was 400°C to 800°C, the program would have suggested a much narrower range from 650°C to 800°C and hence saved unnecessary additional efforts.

scholarly journals Exploring the relation between aerosol optical depth and PM<sub>2.5</sub> at Cabauw, the Netherlands

2008 ◽  
Vol 8 (5) ◽  
pp. 17939-17986 ◽  
Author(s):  
M. Schaap ◽  
A. Apituley ◽  
R. M. A. Timmermans ◽  
R. B. A. Koelemeijer ◽  
G. de Leeuw
Keyword(s):  
The Netherlands ◽  
Ground Level ◽  
Weather Conditions ◽  
Fair Weather ◽  
Modis Aod ◽  
Data Points ◽  
Set Up ◽  
The Relationship ◽  
Lidar Observations ◽  
Pm2.5 Concentration

Abstract. To acquire daily estimates of PM2.5 distributions based on satellite data one depends critically on an established relation between AOD and ground level PM2.5. In this study we aimed to experimentally establish the AOD-PM2.5 relationship for the Netherlands. For that purpose an experiment was set-up at the AERONET site Cabauw. The average PM2.5 concentration during this ten month study was 18 μg/m3, which confirms that the Netherlands are characterised by a high PM burden. A first inspection of the AERONET level 1.5 (L1.5) AOD and PM2.5 data at Cabauw showed a low correlation between the two properties. However, after screening for cloud contamination in the AERONET L1.5 data, the correlation improved substantially. When also constraining the dataset to data points acquired around noon, the correlation between AOD and PM2.5 amounted to R2=0.6 for situations with fair weather. This indicates that AOD data contain information about the temporal evolution of PM2.5. We had used LIDAR observations to detect residual cloud contamination in the AERONET L1.5 data. Comparison of our cloud-screed L1.5 with AERONET L2 data that became available near the end of the study showed favorable agreement. The final relation found for Cabauw is PM2.5=124.5*AOD–0.34 (with PM2.5 in μg/m3) and is valid for fair weather conditions. The relationship determined between MODIS AOD and ground level PM2.5 at Cabauw is very similar to that based on the much larger dataset from the sun photometer data, after correcting for a systematic overestimation of the MODIS data of 0.05. We applied the relationship to a MODIS composite map to assess the PM2.5 distribution over the Netherlands. Spatial dependent systematic errors in the MODIS AOD, probably related to variability in surface reflectance, hamper a meaningful analysis of the spatial distribution of PM2.5 using AOD data at the scale of the Netherlands.

scholarly journals Application of holography and automated image processing for laboratory experiments on mass and fall speed of small cloud ice crystals

2020 ◽  
Vol 20 (23) ◽  
pp. 14889-14901
Author(s):  
Maximilian Weitzel ◽  
Subir K. Mitra ◽  
Miklós Szakáll ◽  
Jacob P. Fugal ◽  
Stephan Borrmann
Keyword(s):  
Three Dimensional ◽  
Ice Crystals ◽  
Local Cooling ◽  
Ice Cloud ◽  
Before And After ◽  
Data Points ◽  
Melting Crystal ◽  
Cloud Ice ◽  
Automated Image Processing ◽  
The Relationship

Abstract. An ice cloud chamber was developed at the Johannes Gutenberg University of Mainz for generating several thousand data points for mass and sedimentation velocity measurements of ice crystals with sizes less than 150 µm. Ice nucleation was initiated from a cloud of supercooled droplets by local cooling using a liquid nitrogen cold finger. Three-dimensional tracks of ice crystals falling through the slightly supersaturated environment were obtained from the reconstruction of sequential holographic images, automated detection of the crystals in the hologram reconstructions, and particle tracking. Through collection of the crystals and investigation under a microscope before and after melting, crystal mass was determined as a function of size. The experimentally obtained mass versus diameter (m(D)) power law relationship resulted in lower masses for small ice crystals than from commonly adopted parameterizations. Thus, they did not support the currently accepted extrapolation of relationships measured for larger crystal sizes. The relationship between Best (X) and Reynolds (Re) numbers for columnar crystals was found to be X=15.3 Re1.2, which is in general agreement with literature parameterizations.

scholarly journals The effect of the CEO media coverage on corporate brand equity: evidence from Poland

2021 ◽  
Vol 12 (2) ◽  
pp. 499-523
Author(s):  
Anna Górska ◽  
Grzegorz Mazurek
Keyword(s):  
Brand Equity ◽  
Media Coverage ◽  
Value Added ◽  
Corporate Brand ◽  
Personal Brand ◽  
Data Points ◽  
New Perspective ◽  
Media Monitoring ◽  
The Impact ◽  
The Relationship

Research background: Despite increased attention in the literature to the importance of the CEO?s brand for companies, understanding of the effect of the CEO brand on the corporate brand remains limited. To contribute to this discussion, this paper investigates different facets of the impact of the CEO brand, and particularly its media coverage, on corporate brand equity. Purpose of the article: This study investigates the relationship between the different aspects of the CEO brand?s media coverage and corporate brand equity. Methods: Comprehensive media monitoring in the press and online sourcing of CEOs from the strongest Polish brands were conducted. For three years (2014?2017), media monitoring covered 81 CEOs, resulting in over 44,000 data points for this study. Regression analysis was conducted to determine whether a relationship exists between different facets of the CEO?s personal brand and company brand equity. Findings & value added: This study provides a new perspective on the relationship between the CEO and corporate brands and showcases empirical evidence of the CEO brand?s relationship with corporate brand equity. It introduces two relevant and novel variables (CEO brand reach and CEO brand advertising value equivalent [AVE]) to the literature, which have been limited to the number of mentions and its sentiment. Accordingly, this study contributes to the emerging literature of CEO branding within the branding field. Contrary to expectation, the intensity of media coverage alone was not significant. Results indicate that reach and AVE of CEO media exposure are reflected in the corporate brand equity. The study also finds that negative sentiment toward a CEO?s brand negatively affects corporate brand equity. The study adds to the growing stream of literature on the role of CEO brand.

scholarly journals Application of Latitude Stripe Division in Satellite Constellation Coverage to Ground

2016 ◽  
Vol 2016 ◽  
pp. 1-9 ◽  
Author(s):  
Maocai Wang ◽  
Xin Luo ◽  
Guangming Dai ◽  
Xiaoyu Chen
Keyword(s):  
Orbital Period ◽  
High Efficiency ◽  
Classical Method ◽  
Grid Point ◽  
Spherical Geometry ◽  
Optimized Design ◽  
Target Region ◽  
Satellite Constellation ◽  
Orbital Periods ◽  
The Relationship

Grid point technique is a classical method in computing satellite constellation coverage to the ground regions. Aiming at improving the low computational efficiency of the conventional method, a method using latitude stripe division is proposed, which has high efficiency, and we name it latitude stripe method. After dividing the target region into several latitude stripes, the coverage status of each latitude stripe is computed by means of the spherical geometry relationship in the first orbital period. The longitude coverage intervals in the remaining orbital periods are computed by sliding the coverage status in the first orbital period. Based on this method, the instantaneous and cumulative coverage in simulation time can be calculated more efficiently. As well, the relationship between the cumulative coverage and altitude can be computed fast by this method, which could be used in the optimized design of repeating sun-synchronous orbits. The comparison between the conventional grid point method and the latitude stripe method shows that the latitude stripe method has high efficiency and accuracy. Through various case studies, the optimization in repeating sun-synchronous orbits design is successfully represented.

Abstract 151: AMSA-Dependent Association Between Shock Energy and Shock Success

Circulation ◽  
2014 ◽  
Vol 130 (suppl_2) ◽  
Author(s):  
Yongqin Li ◽  
Bihua Chen ◽  
Mi He ◽  
Giuseppe Ristagno ◽  
Weilun Quan ◽  
...  
Keyword(s):  
Success Rate ◽  
Amplitude Spectrum ◽  
Myocardial Damage ◽  
Cumulative Energy ◽  
Automated External Defibrillators ◽  
Shock Energy ◽  
Spectrum Area ◽  
Data Points ◽  
Selection For ◽  
The Relationship

Purpose: Previous studies have demonstrated that quantitative analysis of ventricular fibrillation (VF) waveform has the potential to optimize the timing of defibrillation. However, the interaction between energy and the predictability of quantitative VF analysis is unknown. In the present study, we investigated the relationship between shock success and shock energy in the different amplitude spectrum area (AMSA) ranges and the possibility of using AMSA to guide the shock energy selection. Materials and Methods: Digitized ECG recordings were analyzed from a registry data of out-of-hospital cardiac arrests. Current-based impedance compensation automated external defibrillators with an escalating defibrillation energy protocol from 120J to 150 and 200 J were used in this study. A waveform episode of 2.05 seconds (512 data points) ending at 0.5 second before each shock attempt was selected for analysis. Shock success was defined as an organized rhythm that was present for a minimum of 30 seconds, started within 60 seconds after the shock, and had a rate of 40 beats per minute or greater. Results: A total of 1219 shocks from 536 patients with VF were analyzed. The shock success rate was increased with escalated energies when AMSA was greater than 12 mvHz (50.0% for 120J, 64.6% for 150J and 82.5% for 200J, p<0.05). When AMSA was low (<12 mvHz), escalated energies did not increase the shock success rate (9.3% for 120J, 12.4% for 150J and 10.4% for 200J, p:NS). Multivariable logistic regression demonstrated that the only independent predictor of shock success for low AMSA values was the AMSA (OR=1.494, 95% CI:1.362-1.638, p<0.001), while for high AMSA values, it was the shock energy (OR=1.011, 95% CI=1.004-1.018, p=0.003) Conclusions: In this patient population, escalating energy protocol improved defibrillation success when AMSA was high. When AMSA was low the escalating energy protocol did not improve defibrillation success and a fixed low energy protocol may perform equally well as the escalating energy protocol. This may help to reduce myocardial damage associated with higher cumulative energy delivery. Real-time AMSA analysis during CPR could optimize not only the timing of defibrillation, but also provide robust energy selection for defibrillation.

The Relationship between the Letters of Al-Iḫlāṣ (Q 112:1-4) and Their Iterations Using B-Spline Function

2019 ◽  
Vol 17 (1) ◽  
pp. 60-86
Author(s):  
Faoziya S.M. Musbah
Keyword(s):  
Spline Function ◽  
Piecewise Linear ◽  
Two Dimensional ◽  
B Spline ◽  
Holy Quran ◽  
Data Points ◽  
The Holy Quran ◽  
The Absolute ◽  
Unity Of God ◽  
The Relationship

Abstract Al-Iḫlāṣ is an important chapter within the Holy Quran (words of God) because it is a brief declaration of the absolute unity of God (Allah). This paper analyzes al-Iḫlāṣ mathematically in order to gain an understanding of the relationship between the letters of this chapter and their iterations. The analyzed two-dimensional data points (xi,yi) define a piecewise linear curve that is shaped like Allah’s name as it is written in Arabic. The B-spline function is used to analyze this data so as to obtain a second degree curve.

scholarly journals Rest, Zest, and My Innovative Best: Sleep and Mood as Drivers of Entrepreneurs’ Innovative Behavior

2018 ◽  
Vol 43 (3) ◽  
pp. 582-610 ◽  
Author(s):  
Amanda J. Williamson ◽  
Martina Battisti ◽  
Michael Leatherbee ◽  
J. Jeffrey Gish
Keyword(s):  
Sleep Quality ◽  
Structural Equation ◽  
Equation Model ◽  
Innovative Behavior ◽  
Recovery Model ◽  
High Activation ◽  
Data Points ◽  
Multilevel Structural Equation ◽  
The Relationship ◽  
Multilevel Structural Equation Model

This study investigates the antecedents of an entrepreneur’s day-level innovative behavior. Drawing on 2,420 data points from a 10-day experience sampling study with 121 entrepreneurs, we find that sleep quality is a precursor to an entrepreneur’s subsequent innovative behavior, in accordance with the effort-recovery model. Moreover, sleep quality is positively related to high-activation positive moods (e.g., enthusiastic, inspired) and negatively related to high-activation negative moods (e.g., tension, anxiety). Our multilevel structural equation model indicates that high-activation positive moods mediate the relationship between sleep quality and innovative behavior on a given day. These results are relevant for managing entrepreneurial performance.

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