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The changing mode lifetimes cause further changes in the carrier density and, in the absence of the stabilizing influence of a dominant cavity, lead to limit cycles and eventually fully chaotic dynamics This route to chaos via time-varying mode lifetimes is a complementary approach to the usual timedelayed field term; its strength is that the regimes of behaviour of the system are determined purely by the variations of the mode lifetimes At the two extremes of feedback level very high feedback and negligible feedback the model correctly predicts stable behaviour in the external cavity and solitary laser regimes In the former, the similarity of the mode lifetimes means that the mode profile is determined by the gain spectrum, while in the latter the non-uniform lifetime distribution leads to the dominance of one external cavity mode In the coherence collapse regime the model correctly predicts deterministic chaotic dynamics.

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with respect to the x-axis. We would say that the two components of the electric eld are in space quadrature with one another. While both of the measured components change with time in a cos t manner, the angle remains constant so the resultant polarized electric eld oscillates in amplitude with the same orientation with respect to the x-axis. A simple way to picture the resultant of two components is to picture them as originating from two orthogonal sources such as the two dipole antennas shown in Figure 1.4.

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During coherence collapse the mode lifetimes vary with time, causing corresponding changes in the carrier density that eventually feed back as further changes in the lifetime, leading to instability and chaos The coupled cavity model differs from the Lang Kobayashi analysis by calculating the mode wavelengths and.

Get input and showing results Pass arguments to scripts Use drag-and-drop operations Write and reading in the DOS console window Create your personal VBScript command line interpreter Examine VBScript variable types Create random numbers Encrypt and decrypting files Create scripts that make decisions Loop and repeat steps Create functions and procedures Use dictionaries to look up key-value-pairs Declare variables explicitly to get error information Build loops Design functions and procedures

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The Solaris operating system has long been a mainstay of high-end Web and database servers. The vast majority of Solaris deployments run on the SPARC architecture, although there is an Intel distribution of Solaris. This chapter concentrates solely on the SPARC distribution of Solaris, as it really is the only serious version of the operating system. Solaris was traditionally named SunOS, although that name has long since been dropped. Modern and commonly deployed versions of the Solaris operating system include versions 2.6, 7, 8, and 9. While many other operating systems have moved to a more restrictive set of services in a default installation, Solaris 9 still has an abundance of remote listening services enabled. Traditionally, a large number of vulnerabilities have been found in RPC services, and there are close to 20 RPC services enabled in a default Solaris 9 installation. The sheer volume of code that is reachable remotely would seem to indicate that there are more vulnerabilities to be found within RPC on Solaris. Historically, vulnerabilities have been found in virtually every RPC service on Solaris (sadmind, cmsd, statd, automount via statd, snmpXdmid, dmispd, cachefsd, and more). Remotely exploitable bugs have also been found in services accessible via inetd, such as telnetd, /bin/login (via telnetd and rshd), dtspcd, lpd, and others. Solaris ships with a large number of setuid binaries by default, and the operating system requires a significant amount of hardening out of the box.

Aging of passwords Password reuse history files and checking routines Strength requirements (use of numbers, mixed case, special characters, and so on) Password length requirements Password strength checking routines

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