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An organism can be single cellular, that is, made up of a single cell (like an amoeba) or multicellular (like people). Cells themselves can grow, by taking in matter and energy to build up their internal structures and increase their membrane size. Organisms can grow too (obviously). Single-cell organisms grow as a cell grows. Multicellular organisms grow primarily by adding cells to themselves through cell division. Cells can be large or small. Most cells are too small to see with the naked eye. However, a modest microscope is usually sufficient to visualize most kinds of cells. In some cases cells can be quite large. For example, an egg is a single cell. The eggs of many organisms are too small to see without a microscope, whereas the eggs of others are big enough to eat for breakfast. There are many different types of cells. The cells of different organisms can be very different from one another. But even within the same organism cells specialize to carry out different functions. For example, nerve cells are long and thin like wires to carry nerve impulses throughout the body. Muscle cells can contract to provide movement. Skin cells are flat and strong to protect the body. And bone marrow cells manufacture blood cells which carry oxygen through the blood. The process of a young cell maturing to specialize and become a particular type of cell is known as differentiation. Figure 8-1 shows some examples of various types of cells. For the most part, however, in the remainder of this chapter we will concern ourselves mainly with those things that cells have in common.
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Detects keys for each physical table used in the universe to help Desktop and Web Intelligence generate more efficient SQL.
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LAB 25.2 7. Measuring and Using Numbers
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Early binding means that a function call is resolved at compile time. That is, all information necessary to call a function is known when the program is compiled. Examples of early binding include standard function calls, overloaded function calls, and overloaded operator function calls. The principal advantage to early binding is efficiency it is faster, and it often requires less memory. Its disadvantage is lack of flexibility. Late binding means that a function call is resolved at run time. Thus, precisely which function to call is determined on-the-fly as the program executes. Late binding is achieved in C++ through the use of virtual functions and derived types. The advantage to late binding is that it allows greater flexibility. It can be used to support a common interface, while allowing various objects that utilize that interface to define their own implementations. Further, it can be used to help you create class libraries, which can be reused and extended. Its disadvantage, however, is a slight loss of execution speed.
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In this scenario, a service provider deploys a network dedicated to a single customer often a large corporation or an entity in one of the government, education, or medical (GEM) vertical markets. The customer often wants MEF-compliant E-LAN service to provide LAN-like connectivity among its sites, along with DS-n connectivity for PBXs and other traditional telephony equipment, as Figure 11.9 illustrates. Because these typically are high capacity, high functionality, and high dollar networks, survivability is essential. For these reasons, dedicated SONET networks with Ethernet capabilities provide a large and profitable business for many service providers. Examples include AT&T Ultravailable Managed OptEring Service and Verizon s Enhanced Dedicated SONET Ring (EDSR). With dedicated networks, the network is the service. The network elements most often MSPPs must provide not only EoS transport, but also all the attributes of MEF-compliant E-LAN and E-Line services (as well as traditional DS-n private line services). For this reason, MSPPs in dedicated networks must often support a rich set of Ethernet functions, including Ethernet switching. Resilient packet ring (RPR) functions enable Ethernet bridging over SONET rings and often fit well in this application. The relative complexity of the Ethernet capabilities means that traditional transport OSSs often cannot manage all the functions of dedicated EoS networks. This places a higher burden on service providers abilities to integrate these networks into new OSSs and on vendors abilities to develop capable element management systems (EMSs). Table 11.4 summarizes the typical deployment scenarios for EoS and MSPPs.
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Report and trouble scan. In this mode an analyzer will monitor the received signal and indicate when an error, defect, or alarm has been received. In the mode s crudest form, an event is flagged by front-panel LEDs that indicate the type of alarms received. Most if not all analyzers support this type of indication. More useful is counting, measuring, and processing of the error alarms and defect conditions. Four significant areas of signal monitoring need to be considered:
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Equalize once/mo. V=15.3 for 8 hr.
If the gain of the transmitting antenna is 45 dB, then the radiated power PR is calculated. PR 30 dBm 45 dB 75 dBm
Let s examine this program closely. The program declares a delegate type called StrMod, shown here:
Conversion and transition methods provide the means to move from an old plan to a new plan.The extent of the changes is a function of the degree of program change in one or more of the following plan elements:
Because change_it( ) returns a reference to a specific element of the vals array, it can be used on the left side of an assignment statement to assign a new value to that array element. When returning a reference, be careful that the object being referred to does not go out of scope. For example, consider this function:
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Disaccharide Two monosaccharides covalently bonded together into a single molecule. Disorder In thermodynamics and statistical mechanics, order and disorder relate directly to the number of different ways of accomplishing one particular thing. An ordered system is one in which there is a small number of ways to accomplish a particular state of the system. A disordered system is one in which there are many ways to accomplish a particular state of the system. Dispersion forces Intermolecular forces that arise from synchronized fluctuating charge distributions. Distribution In statistical mechanics, a specification of how the total energy of a system is divided up among the particles or molecules of the system, in terms of how many molecules have specified amounts of energy. Disulfide bond A covalent bond between two sulfur atoms, attaching two cysteine residues together. DNA (deoxyribonucleic acid) A nucleic acid whose nucleotides contain deoxyribose. DNA melting Unwinding or denaturing of the DNA helix. DNA polymerase An enzyme that catalyzes the biochemical reaction of covalently connecting together deoxyribonucleotides to form DNA. DNA replication The processes whereby a cell makes a copy of its DNA. Double bond A covalent bond in which two pairs of electrons are shared between two atoms. Double helix The most common secondary structure in DNA, consisting of two helical strands wound around each other. Eddies Small fluid currents that flow backward, or in a partial circular motion, opposite the direction of the overall fluid flow. Electric dipole Two equal and opposite charges separated by a fixed distance. Electrolyte solution A solution containing a relatively high concentration of ions, so that it easily conducts electricity. Electronegative Having the quality of a strong pull on electron clouds. Electronegative atoms have a tendency to form polar bonds when covalently bonded to less electronegative atoms. EM spectroscopy Electromagnetic spectroscopy. A technique that involves sending some form of electromagnetic radiation into a sample, and measuring various properties of the electromagnetic radiation that emerges from the
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