scholarly journals ts-PWLAN: a value-add system for providing tiered wireless services in public hot-spots

2004 ◽  
Author(s):  
A. Acharya ◽  
C. Bisdikian ◽  
A. Misra ◽  
Young-Bae Ko
Keyword(s):  
Hot Spots ◽  
Wireless Services ◽  
A Value ◽  
Value Add

Fractional Flow Reserve: Does a Cut-off Value add Value?

2016 ◽  
Vol 11 (1) ◽  
pp. 17
Author(s):  
Shah R Mohdnazri ◽  
◽  
◽  
◽  
Thomas R Keeble ◽  
...  
Keyword(s):  
Fractional Flow Reserve ◽  
Coronary Intervention ◽  
Grey Zone ◽  
Fractional Flow ◽  
Non Invasive ◽  
Invasive Test ◽  
Flow Reserve ◽  
A Value ◽  
Percutaneous Coronary ◽  
Value Add

Fractional flow reserve (FFR) has been shown to improve outcomes when used to guide percutaneous coronary intervention (PCI). There have been two proposed cut-off points for FFR. The first was derived by comparing FFR against a series of non-invasive tests, with a value of ≤0.75 shown to predict a positive ischaemia test. It was then shown in the DEFER study that a vessel FFR value of ≥0.75 was associated with safe deferral of PCI. During the validation phase, a ‘grey zone’ for FFR values of between 0.76 and 0.80 was demonstrated, where a positive non-invasive test may still occur, but sensitivity and specificity were sub-optimal. Clinical judgement was therefore advised for values in this range. The FAME studies then moved the FFR cut-off point to ≤0.80, with a view to predicting outcomes. The ≤0.80 cut-off point has been adopted into clinical practice guidelines, whereas the lower value of ≤0.75 is no longer widely used. Here, the authors discuss the data underpinning these cut-off values and the practical implications for their use when using FFR guidance in PCI.

Theoretical calculations of hot-spot initiation in explosives

1968 ◽  
Vol 46 (20) ◽  
pp. 3221-3228 ◽  
Author(s):  
H. J. Bruckman Jr. ◽  
J. E. Guillet
Keyword(s):  
Hot Spots ◽  
Arrhenius Equation ◽  
Theoretical Calculations ◽  
Hot Spot ◽  
Chemical Properties ◽  
Balance Equations ◽  
A Value ◽  
Physical And Chemical ◽  
The Heat Balance ◽  
And Chemical Properties

The heat balance equations for the thermal decomposition of hot spots in explosives have been solved using an iterative computer method. This yields a value of Tc, the critical temperature for hot-spot initiation, which is a function of the size and duration of the hot spot and of the physical and chemical properties of the explosive. It is demonstrated that there is a strong correlation between the ranking of explosives in terms of shock sensitivity and their ranking in terms of Tc. In general explosives having low values of Tc are more sensitive to shock and other forms of accidental initiation than those having high values.Using the computer program, it was shown that the major factor affecting Tc was not the energy released in the explosion, but the rate of decomposition, as expressed in terms of the parameters A and Ea in the Arrhenius equation. Consideration of reagent depletion also indicated certain limits beyond which the heat production cannot be maintained for the time necessary to initiate explosion and insensitivity should result. Considerations of this type could be used to predict safe handling procedures for explosives.

scholarly journals OP04.08: Delta-MPI in pathological versus uncomplicated pregnancy: a value-add to right and left mod-MPI?

2013 ◽  
Vol 42 (s1) ◽  
pp. 58-59 ◽  
Author(s):  
A. Henry ◽  
N. Meriki ◽  
A. Mahajan ◽  
J. Sanderson ◽  
L. Wu ◽  
...  
Keyword(s):  
Uncomplicated Pregnancy ◽  
A Value ◽  
Value Add

scholarly journals Fractional Flow Reserve: Does a Cut-off Value add Value?

2016 ◽  
Vol 11 (1) ◽  
pp. 17 ◽  
Author(s):  
Shah R Mohdnazri ◽  
◽  
◽  
◽  
Thomas R Keeble ◽  
...  
Keyword(s):  
Fractional Flow Reserve ◽  
Coronary Intervention ◽  
Grey Zone ◽  
Fractional Flow ◽  
Non Invasive ◽  
Invasive Test ◽  
Flow Reserve ◽  
A Value ◽  
Percutaneous Coronary ◽  
Value Add

Fractional flow reserve (FFR) has been shown to improve outcomes when used to guide percutaneous coronary intervention (PCI). There have been two proposed cut-off points for FFR. The first was derived by comparing FFR against a series of non-invasive tests, with a value of ≤0.75 shown to predict a positive ischaemia test. It was then shown in the DEFER study that a vessel FFR value of ≥0.75 was associated with safe deferral of PCI. During the validation phase, a ‘grey zone’ for FFR values of between 0.76 and 0.80 was demonstrated, where a positive non-invasive test may still occur, but sensitivity and specificity were sub-optimal. Clinical judgement was therefore advised for values in this range. The FAME studies then moved the FFR cut-off point to ≤0.80, with a view to predicting outcomes. The ≤0.80 cut-off point has been adopted into clinical practice guidelines, whereas the lower value of ≤0.75 is no longer widely used. Here, the authors discuss the data underpinning these cut-off values and the practical implications for their use when using FFR guidance in PCI.

scholarly journals Evaluating the Efficacy of a Dedicated Last Planner® System Facilitator to Enhance Construction Productivity

2021 ◽  
Vol 21 (3) ◽  
Author(s):  
William Power ◽  
Derek Sinnott ◽  
Patrick Lynch
Keyword(s):  
Environmental Sustainability ◽  
Construction Projects ◽  
Successful Implementation ◽  
Structured Interviews ◽  
Quality Cost ◽  
Team Collaboration ◽  
Construction Productivity ◽  
A Value ◽  
Value Add ◽  
Last Planner

Construction unknowingly plans for poor levels of productivity with substantial waste, inefficiency, and rework stemming from a proliferation of non-value-adding activities embedded within traditional delivery processes. This approach negatively influences construction’s economic and environmental sustainability. Last Planner® System (LPS) is a key tool of Lean Construction (LC) and is lauded as a value-add process that prioritises flow efficiency by addressing workflow variability and waste elimination on construction projects. This research evaluates how the presence of a dedicated knowledgeable and competent LPS Facilitator, enabling a complete LPS implementation, contributes to improved construction flow, efficiency, and productivity. The study adopted a mixed-methods approach utilising case study design and data collected from a literature review, site observation diary, site documentation analysis, and semi-structured interviews. Limitations exist around small survey size, lack of generalisability, and potential bias of researchers. Findings posit considerable productivity increase; more reliable, predictable, and stable workflow; enhanced team collaboration; as well as accrual of safety, quality, cost, and schedule benefits. Embedding a knowledgeable and competent LPS Facilitator appears to assist successful implementation of LPS with sectoral and societal value-add opportunities.  

Valuing Technology in the L2 Classroom

2020 ◽  
pp. 173-189
Author(s):  
Chesla Ann Lenkaitis
Keyword(s):  
Teacher Perceptions ◽  
Technology Use ◽  
Technology Implementation ◽  
Small Body ◽  
Learning And Teaching ◽  
A Value ◽  
Immigrant Teachers ◽  
Need Support ◽  
Student And Teacher Perceptions ◽  
Value Add

This study explored both student and teacher perceptions and preferences regarding technology use in the second language (L2) classroom using the digital identity theoretical framework in order to examine when technology is a value-add. Five teacher participants' (n = 5) implemented both textbook and non-textbook technology, into 10 (n =10) intact L2 classes totaling 81 student participants (n = 81), for approximately three months. Analyses of pre-, post-, and monthly surveys revealed that technology implementation created connections between students, teachers, and L2 learning and teaching processes. Although participants had distinct experiences, they shared some perceptions and preferences. Not only does this study add to the small body of research exploring comparisons between students and teachers, but it also shows that both digital native students and digital immigrant teachers need support to better understand and value L2 technologies.

scholarly journals Conditional Mixture Model for Modeling Attributed Dyadic Data

2020 ◽  
Author(s):  
Loc Nguyen
Keyword(s):  
Em Algorithm ◽  
Regression Model ◽  
Mixture Model ◽  
Expectation Maximization ◽  
Finite Mixture Model ◽  
Finite Mixture ◽  
Significant Feature ◽  
Dyadic Data ◽  
A Value ◽  
Value Add

Dyadic data contains co-occurrences of objects, which is often modeled by finite mixture model which in turn is learned by expectation maximization (EM) algorithm. Objects in traditional dyadic data are identified by names, causing the drawback which is that it is impossible to extract implicit valuable knowledge under objects. In this research, I propose the so-called attributed dyadic data (ADD) in which each object has an informative attribute and each co-occurrence of two objects is associated with a value. ADD is flexible and covers most of structures / forms of dyadic data. Conditional mixture model (CMM), which is a variant of finite mixture model, is applied into learning ADD. Moreover, a significant feature of CMM is that any co-occurrence of two objects is based on some conditional variable. As a result, CMM can predict or estimate co-occurrent values based on regression model, which extends applications of ADD and CMM.

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