RELATIONSHIP BETWEEN THE SHORT-TIME SPECIFIC HEAT AND THE ULTRASONIC PROPERTIES OF GLASSES

1978 ◽  
Vol 39 (C6) ◽  
pp. C6-963-C6-964 ◽  
Author(s):  
James L. Black
Keyword(s):  
Specific Heat ◽  
Ultrasonic Properties ◽  
Time Specific ◽  
Short Time

scholarly journals Recognition of Short-Time Specific Random Elements in Random Sequences

Informatica ◽  
2011 ◽  
Vol 22 (2) ◽  
pp. 279-288
Author(s):  
Laimutis Telksnys ◽  
Jonas Kaukėnas
Keyword(s):  
Random Sequences ◽  
Random Elements ◽  
Time Specific ◽  
Short Time

On the Definition of Latent-State-Trait Models With Autoregressive Effects

2017 ◽  
Vol 33 (4) ◽  
pp. 285-295 ◽  
Author(s):  
Michael Eid ◽  
Jana Holtmann ◽  
Philip Santangelo ◽  
Ulrich Ebner-Priemer
Keyword(s):  
Latent Variables ◽  
Time Lags ◽  
Situational Influences ◽  
Situational Effects ◽  
Classical Models ◽  
Carry Over ◽  
Definition Of ◽  
Time Specific ◽  
Open Question ◽  
Short Time

Abstract. In longitudinal studies with short time lags, classical models of latent state-trait (LST) theory that assume no carry-over effects between neighboring occasions of measurement are often inappropriate, and have to be extended by including autoregressive effects. The way in which autoregressive effects should be defined in LST models is still an open question. In a recently published revision of LST theory (LST-R theory), Steyer, Mayer, Geiser, and Cole (2015) stated that the trait-state-occasion (TSO) model ( Cole, Martin, & Steiger, 2005 ), one of the most widely applied LST models with autoregressive effects, is not an LST-R model, implying that proponents of LST-R theory might recommend not to apply the TSO model. In the present article, we show that a version of the TSO model can be defined on the basis of LST-R theory and that some of its restrictions can be reasonably relaxed. Our model is based on the idea that situational effects can change time-specific dispositions, and it makes full use of the basic idea of LST-R theory that dispositions to react to situational influences are dynamic and malleable. The latent variables of the model have a clear meaning that is explained in detail.

scholarly journals On copper removal from aquatic media using simultaneous and sequential iron-perlite composites

2020 ◽  
Author(s):  
Mouhammad Shadi Khudr ◽  
Yassin Mohamed Elhassan Ibrahim ◽  
Arthur Garforth ◽  
Abdullatif Alfutimie
Keyword(s):  
Metal Removal ◽  
Heavy Metal Removal ◽  
Volcanic Glass ◽  
Polluted Water ◽  
Coarse Powder ◽  
X Ray ◽  
Solid Iron ◽  
Short Run ◽  
Time Specific ◽  
Short Time

The use of reusable, affordable, and inert adsorbents as a means to mitigate copper pollution, with a lesser burden on the environment, has been attracting some attention. However, aiding the adsorption process of a promising adsorbent, such as expanded volcanic glass (perlite), with a reducing companion, such as solid iron, that can displace and dispose of copper from polluted water has never been tested before. In this laboratory study, we investigated the removal of Cu2+, resulting from contaminating freshwater with copper sulphate pentahydrate, using simultaneous or non-simultaneous (sequential) mixes of expanded perlite and iron coarse powder over 23 hours. The percentage of copper removed was calculated at 15 min, 40 min, 120 min, 300 min, and 1380 min using induced coupled plasma (ICP-OES). A rapid removal of 71% at 120 min was achieved when the perlite and iron were added simultaneously in separate permeable pouches; the application of the iron after the perlite led to 78% of removal at 1380 min that was almost identical to what was accrued via perlite alone (77%). This, therefore, suggests that the presence of iron is most advantageous in the short run as it leads to fast uptake of Cu2+, attributable to the combined action of the reduction of Cu2+ by iron and Cu2+ adsorption by perlite. Further investigation in support of the results was carried out using Energy-Dispersive X-Ray Spectroscopy (EDAX), X-Ray Diffraction (XRD), Brunauer, Emmett and Teller (BET), and Fourier-Transform Infrared Spectroscopy (FTIR). The findings of this multidisciplinary work provide insights and mechanisms for heavy metal removal from water in a relatively short time using a novel time-specific combination of iron and perlite and thus merit wider testing across different classes of adsorbents, pollutants, and water systems.

scholarly journals Annual Projections of Future Built-Settlement Expansion Using Relative Changes in Projected Small Area Population and Short Time-Series of Built-Extents

2019 ◽  
Author(s):  
Jeremiah J. Nieves ◽  
Maksym Bondarenko ◽  
Alessandro Sorichetta ◽  
Jessica E. Steele ◽  
David Kerr ◽  
...  
Keyword(s):  
Time Series ◽  
Ground Truth ◽  
Human Settlement ◽  
Model Framework ◽  
Short Time Series ◽  
Modelling Framework ◽  
Temporal Models ◽  
Time Specific ◽  
Short Time ◽  
Near Future

Advances in the availability of multitemporal and global built-/human-settlements datasets as derived from Remote Sensing (RS) can now provide globally consistent definitions of “human-settlement” at unprecedented spatial fineness. Yet, these data only provide a time-series of past extents and urban growth/expansion models have not had parallel advances at high-spatial resolution. We present a flexible modelling framework for producing annual built-settlement extents in the near future past last observed extents as provided by RS-based data. Using a random forest and autoregressive temporal models with short time-series of built-settlement extents and subnational level data, we predict annual 100m resolution binary settlement extents five years beyond the last observations. We applied this framework within varying contexts and predicted annual extents from 2010 to 2015. We found that our model framework preformed consistently across all sample countries and, when compared to time-specific imagery, demonstrated the capacity to capture human-settlement missed by the input time-series and validation extents. When comparing building footprints of small settlements to forecast extents, we saw that the modelling framework had a 12 percent increase in ground-truth accuracy. This framework shows promise for predicting near-future settlement extents, and provides a foundation for forecasts further into the future.

What the replication reformation wrought

2018 ◽  
Vol 41 ◽  
Author(s):  
Barbara A. Spellman ◽  
Daniel Kahneman
Keyword(s):  
Reform Movement ◽  
Short Time

AbstractReplication failures were among the triggers of a reform movement which, in a very short time, has been enormously useful in raising standards and improving methods. As a result, the massive multilab multi-experiment replication projects have served their purpose and will die out. We describe other types of replications – both friendly and adversarial – that should continue to be beneficial.

Periodic Variations in the Coronal Green Line Intensity and their Connection with the White-light Coronal Structures

2000 ◽  
Vol 179 ◽  
pp. 197-200
Author(s):  
Milan Minarovjech ◽  
Milan Rybanský ◽  
Vojtech Rušin
Keyword(s):  
Time Resolution ◽  
White Light ◽  
Short Time Scale ◽  
High Time Resolution ◽  
Green Line ◽  
Periodic Intensity ◽  
Coronal Green Line ◽  
Significant Intensity ◽  
Short Time ◽  
Coronal Structures

AbstractWe present an analysis of short time-scale intensity variations in the coronal green line as obtained with high time resolution observations. The observed data can be divided into two groups. The first one shows periodic intensity variations with a period of 5 min. the second one does not show any significant intensity variations. We studied the relation between regions of coronal intensity oscillations and the shape of white-light coronal structures. We found that the coronal green-line oscillations occur mainly in regions where open white-light coronal structures are located.

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