Nt1310 Unit 1 Lab Report

The goal of this lab was to expand and centralize our infrastructure by adding a Windows Server 2012 VM and configuring it with a number of key services. Some of the services that we deployed on the Windows 2012 VM had previously been configured on other machines, namely the RHEL VM from Lab 2. We began by installing and configuring the server itself, ensuring that we provided it with ample memory and processing power. Next, we configured DHCP, disabling the DHCP service running on our RHEL VM. We then continued by installing Active Directory and DNS on the Windows 2012 VM, disabling the DNS server running on the RHEL VM in the process. The DNS server on RHEL would later be reactivated as a secondary (slave) server. We then proceeded to set up monitoring for both DHCP and DNS. This monitoring was configured locally on the Windows 2012 VM using the Performance Monitoring utility, and also remotely via OpsView. Finally, we installed Microsoft Baseline Security Analyzer on the Windows VM. This was the first lab where it felt like we

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The human sense of touch is known as the somatic or somatosensory system. The skin is the biggest and most complex organ in the somatosensory system.The somatosensory system permits the human body to experience pressure, texture, temperature, and pain, and to see the position and development of the body's muscles and joints.The receptor cells in the skin can be separated into three useful classifications: mechanoreceptors that sense pressure and surface, thermoreceptors that sense temperature, and nociceptors that sense pain. Thermoreceptors distinguish changes in temperature utilizing two sorts of receptor cells: warm and cold. Thus, thermoreceptors on the skin detects the temperature signal using two specific receptors cell: warm and cold.

The objective of the lab was to program a vehicle to continuously drive in a one meter square. The square was to be completed in less than 20 seconds, and only the wheel encoder could be used to navigate the vehicle. All of this was done by using the Arduino software tool and the Redbot library to create a program that would satisfy the given lab requirements.

Based the data collected, the identity of the unknown #42 is lithium chloride. Because the unknown compound produced a bright red pinkish flame, shown in Table 1, the possible cations based on the CRC Handbook were lithium or strontium 1.The known 1M lithium chloride also produced the same colored flame as the unknown, suggesting that the unknown compound has lithium. Since lithium produces no precipitate with the compounds in Table 2 and strontium produces a precipitate with the same compounds, the observations in Table 2 indicate that the unknown’s cation is lithium 4. Using the solubility table, process of elimination, and the results in Table 3 the possible anions for the unknown compound were chloride and bromide4. The production of precipitate

For this study, footballs filled with different gases, with air being the control group and helium, nitrogen, argon, and carbon dioxide being the independent variables, were shot 15 times from a Snap Attack Machine. The hang times in seconds of the footballs were recorded and placed on a spreadsheet in Microsoft Excel. There were 2 experiments. The first experiment had the footballs filled to 6 PSI and the second experiment had the footballs filled to 9 PSI. The change in PSI was suggested by a graduate student, helping the researcher, because the lower PSI in the first experiment caused the Snap Machine to shoot the footballs and produce results all over the place with no precision (see Table 1 and Graph 1). The second experiment provided more precise results because the Snap Machine could shoot the footballs better (see Table 2 and Graph 2). The first experiment results were nullified for the error. The means, standard deviations, and standard errors of

The goal of this lab was to familiarize myself with the RLES vCloud Director, the vApps, and building virtual machines using RLES. I learned how to work with Red Hat Enterprise Linux 7 to build and customize servers built to meet the needs of my virtual environment. I also experimented with configuring pfSense to be my gateway between the virtual network and RITs RLES infrastructure. There was also the introduction of setting up both a wiki and a monitoring solution, which I chose to use MediaWiki and Nagios Monitoring Solution for my services.

The outer membrane in the cyanobacterium cell (Phormidium uncinatum) is the structure that makes the cell gram negative. On the other hand, the characteristic that makes the cell gram positive is the thick peptidoglycan layer.

The estimated sample to be taken should be 9 lettuce plants/ roots to have the 95% level of confidence and within the 10% of population mean.

A = Absorbance difference  = Molar extinction coefficient C = Concentration L = Path length

Please refer to page 152 to 153 of Hirsch, Alan J. Nelson Physics 12. Toronto: Nelson Thomson Learning, 2003. Print. for the full procedure

* Lim Peng Chew, Lim Ching Chai, Nexus Bestari Physics, Sasbadi Sdn. Bhd. , 2013, Pg 18,19

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\item The main objective of the analysis is to measure the $\overline{\nu}_e$ cross-section, and the systematics uncertainty on this quantity will be evaluated by MC simulation by varying all the inputs. Hence, a direct measurement of tBDT

Several examples of time resolved experiments across the -peak range are shown in Fig. 4.12, where in each case the temperature is well below Tg and primary relaxation