The Afghanistan Mission Network enabled an increased the perception of environmental elements and events with respect to time or space, the comprehension of their meaning, and the projection of their status after some variable has changed, such as time, or some other variable, such as a predetermined event, also known as?
situational awareness
Situation awareness
Situational awareness or situation awareness (SA) is the perception of environmental elements and events with respect to time or space, the comprehension of their meaning, and the projection of their status after some variable has changed, such as time, or some other variable, such as a predetermined event.
 It is also a field of study concerned with understanding of the environment critical to decision-makers in complex, dynamic areas from aviation, air traffic control, ship navigation, power plant operations, military command and control, and emergency services such as fire fighting and policing; to more ordinary but nevertheless complex tasks such as driving an automobile or riding a bicycle.
Afghanistan Mission Network
The Afghanistan Mission Network (AMN) is the primary Coalition, Command, Control, Communications, Computers, Intelligence, Surveillance, and Reconnaissance (C5ISR) network for NATO-led missions in Afghanistan (ISAF, RSM).
 By providing a common network over which to share critical information, the AMN enabled a shift in information-sharing posture from “need to know” to “need to share,” resulting in an increase in situational awareness among coalition partners.
Phytogeomorphology
Phytogeomorphology is the study of how terrain features affect plant growth.
 It was the subject of a treatise by Howard and Mitchell in 1985, who were considering the growth and varietal temporal and spatial variability found in forests, but recognized that their work also had application to farming, and the relatively new science (at that time) of precision agriculture.
 The premise of Howard and Mitchell is that landforms, or features of the land's 3D topography significantly affect how and where plants (or trees in their case) grow.
 Since that time, our ability to map and classify landform shapes and features has increased greatly.
 The advent of GPS has made it possible to map almost any variable one might wish to measure.
 Thus, a very increased awareness of the spatial variability of the environment that plants gown in has arisen.
 The development of technology like airborne LiDAR has enabled the detailed measurement of landform features to better than sub-meter, and when combined with RTK-GPS (accuracies to 1mm) enables the creation of very accurate maps of where these features are.
 Comparison of these landform maps with mapping of variables related to crop or plant growth show a strong correlation (see below for examples and references for precision agriculture). PV Telescopii variable
PV Telescopii variable is a type of variable star that is established in the "General Catalogue of Variable Stars" with the acronym PVTEL.
 This class of variables are defined as "helium supergiant Bp stars with weak hydrogen lines and enhanced lines of He and C".
 That is, the hydrogen spectral lines of these stars are weaker than normal for a star of stellar class B, while the lines of helium and carbon are stronger.
 The prototype for this category is HD 168476, also known as PV Telescopii, which undergoes small but complex luminosity variations and radial velocity fluctuations.
 The PV Tel stars are extremely hydrogen-deficient compared to other B-class stars and vary in luminosity on time scales ranging from a few hours to several years.
 As of 2008, there are twelve confirmed PV Tel variables in the "General Catalogue of Variable Stars". Doob martingale
A Doob martingale (also known as a Levy martingale) is a mathematical construction of a stochastic process which approximates a given random variable and has the martingale property with respect to the given filtration.
 It may be thought of as the evolving sequence of best approximations to the random variable based on information accumulated up to a certain time. Dummy variable (statistics)
In statistics and econometrics, particularly in regression analysis, a dummy variable (also known as an indicator variable, design variable, Boolean indicator, categorical variable, binary variable, or qualitative variable) is one that takes the value 0 or 1 to indicate the absence or presence of some categorical effect that may be expected to shift the outcome.
 Dummy variables are used as devices to sort data into mutually exclusive categories (such as smoker/non-smoker, etc.).
 For example, in econometric time series analysis, dummy variables may be used to indicate the occurrence of wars or major strikes.
 A dummy variable can thus be thought of as a truth value represented as a numerical value 0 or 1 (as is sometimes done in computer programming). Network Control Center Data System
The Network Control Center Data System (NCCDS) is an element of NASA's Space Network (SN) ground segment.
 Collocated with the White Sands Tracking and Data Relay Satellite System, the NCCDS is the operations control facility for the network.
 It schedules most Space Network elements and supporting elements and provides interfaces for planning, acquisition, control, and status of the Space Network.
 The NCCDS is the point-of-contact between customers (who have satellites in orbit) and the Space Network for most scheduling and real-time performance.
 A customer may obtain Space Network support by submitting specific schedule requests to or establishing generic requirements with the NCCDS.
 The NCCDS translates customers’ requirements into specific TDRS communications and tracking events.
 Additionally, the NCCDS notifies affected customers of scheduled system outages so that Mission Operation Centers (MOCs) can properly plan mission activities.
 Upon MOC request, the NCCDS provides operational performance information (such as data presence monitoring indicators and data quality monitoring data) on scheduled services during actual support to determine if conditions exist that will affect data quality. Augmented reality
Augmented reality (AR) is a live direct or indirect view of a physical, real-world environment whose elements are "augmented" by computer-generated or extracted real-world sensory input such as sound, video, graphics or GPS data.
 It is related to a more general concept called computer-mediated reality, in which a view of reality is modified (possibly even diminished rather than augmented) by a computer.
 Augmented reality enhances one’s current perception of reality, whereas in contrast, virtual reality replaces the real world with a simulated one.
 Augmentation techniques are typically performed in real time and in semantic context with environmental elements, such as overlaying supplemental information like scores over a live video feed of a sporting event. Immunoglobulin class switching
Immunoglobulin class switching, also known as isotype switching, isotypic commutation or class-switch recombination (CSR), is a biological mechanism that changes a B cell's production of immunoglobulin (antibodies) from one type to another, such as from the isotype IgM to the isotype IgG.
 During this process, the constant-region portion of the antibody heavy chain is changed, but the variable region of the heavy chain stays the same (the terms "variable" and "constant" refer to changes or lack thereof between antibodies that target different epitopes).
 Since the variable region does not change, class switching does not affect antigen specificity.
 Instead, the antibody retains affinity for the same antigens, but can interact with different effector molecules. Variable data printing
Variable–data printing (VDP) (also known as variable–information printing (VIP) or variable imaging (VI)) is a form of digital printing, including on-demand printing, in which elements such as text, graphics and images may be changed from one printed piece to the next, without stopping or slowing down the printing process and using information from a database or external file.
 For example, a set of personalized letters, each with the same basic layout, can be printed with a different name and address on each letter.
 Variable data printing is mainly used for direct marketing, customer relationship management, advertising, invoicing and applying addressing on selfmailers, brochures or postcard campaigns.