Under Pressure

2017 ◽  
Vol 17 (4) ◽  
pp. 308-315 ◽  
Author(s):  
Christopher N. Poulos

In this autoethnography, I write my way through the contours of scrutiny, measurement, and control across the span of my life, and (eventually) write my way into a solution, of sorts, to the conundrum of a knowledgeable agent living in a neoliberal world. In my story, life-space in the academy has just been one of the many locales subjected to the corporate colonization of the lifeworld. Autoethnography emerges as a channel of resistance against neoliberal forces.

Author(s):  
David C. Joy

Personal computers (PCs) are a powerful resource in the EM Laboratory, both as a means of automating the monitoring and control of microscopes, and as a tool for quantifying the interpretation of data. Not only is a PC more versatile than a piece of dedicated data logging equipment, but it is also substantially cheaper. In this tutorial the practical principles of using a PC for these types of activities will be discussed.The PC can form the basis of a system to measure, display, record and store the many parameters which characterize the operational conditions of the EM. In this mode it is operating as a data logger. The necessary first step is to find a suitable source from which to measure each of the items of interest. It is usually possible to do this without having to make permanent corrections or modifications to the EM.


2001 ◽  
Author(s):  
G. Mainelis ◽  
R. Gorny ◽  
K. Willeke ◽  
S. Grinshpun ◽  
T. Reponen ◽  
...  

2013 ◽  
Vol 62 (1) ◽  
pp. 23-31 ◽  
Author(s):  
Maria Mrówczyńska

Abstract The paper attempts to determine an optimum structure of a directional measurement and control network intended for investigating horizontal displacements. For this purpose it uses the notion of entropy as a logarithmical measure of probability of the state of a particular observation system. An optimum number of observations results from the difference of the entropy of the vector of parameters ΔHX̂ (x)corresponding to one extra observation. An increment of entropy interpreted as an increment of the amount of information about the state of the system determines the adoption or rejection of another extra observation to be carried out.


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