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    How to draw SD characters by hand "Super Deformation" or "SD" characters can draw easily by using 2 or 3 heads which is the ratio between the head and the entire character’s height. First‚ you must draw a draft of your character. You must draw 2 circles equally. One represent the head of the character and another is the body. If you use 1:3 ratio‚ you have to draw 3 circles. Second‚ you must draft out their hands and feet. I mean their posture. If your character bends their arms and legs‚ use

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    How would the following errors affect your calculated value of R? Explain your reasoning. If some air accidentally entered the eudiometer when it was transferred to the tall graduated cylinder‚ then the value of R would increase. This is because in my manipulated gas law equation‚ R=PVnT‚ volume is on top‚ in which if it’s value increases‚ then the value of R will also increase. And because volume is directly correlated by the how much gas is in the eudiometer‚ the more gas in the eudiometer‚ the

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    Data Security

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    Module 5 Data Security What is a computer security risk? A computer security risk is any event or action that could cause loss of or damage to computer hardware‚ software‚ data‚ information‚ or processing capability. Some breaches to computer security are accidental‚ others are planned intrusions. Some intruders do no damage; they merely access data‚ information or programs on the computer before logging off. Other intruders indicate some evidence of their presence either by leaving a

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    DATA ORGANIZATION

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    DATA ORGANIZATION‚ PRESENTATION AND ANALYSIS Research Methods 1 Data Organization and Presentation To make interpretation and analysis of gathered data easier‚ data should be organized and presented properly. The usual methods used by researchers are textual‚ tables‚ graphs and charts. 1.1 Textual Data can be presented in the form of texts‚ phrases or paragraphs. It involves enumerating important characteristics‚ emphasizing significant figures and identifying important features of

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    Data Depth and Optimization Komei Fukuda fukuda@ifor.math.ethz.ch Vera Rosta rosta@renyi.hu In this short article‚ we consider the notion of data depth which generalizes the median to higher dimensions. Our main objective is to present a snapshot of the data depth‚ several closely related notions‚ associated optimization problems and algorithms. In particular‚ we briefly touch on our recent approaches to compute the data depth using linear and integer optimization programming. Although

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    Use a thermometer to check the temperature 2) Add the vinegar and stir well. 3) Cover the mouth of the saucepan or pot with the cheesecloth.Secure the cloth with a rubber band 4) Pur out the liquid.Squeeze out as much liquid as you can from the cloth. 5) A soft‚clay-like solid will be left on the cloth.Put it on a paper towel. 6) Press small amounts of the solid material into flat shapes.You can shape them into discs and other interesting shapes you like. 7) Let the shapes

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    Values

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    My personal and professional values are congruent to social work and the NASW Code of Ethics. One of the values is my self-determination to promote social justice and social change on behalf of the clients. I would like to emphasize how significant this value is to me because this was one of the reasons that motivated me to pursue this career‚ which is not related to my B.A. in Art/Major in Graphic Design. Prior to starting the MSW program I was working as a tutor and did a bit of volunteering at

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    Data Communications

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    decreasing magnitudes is needed to represent the single pulse. What implication does that have for a real digital transmission system? Suppose that a digitised TV picture is to be transmitted from a source that uses a matrix of 480 x 500 picture elements (pixels)‚ where each pixel can take on one of 32 intensity values. Assume that 30 pictures are sent per second. (This digital source is is roughly equivalent to broadcast TV standards that have been adopted.) Find the source rate R (bps) Assume that the

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    Data Mining

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    university CASE STUDY OF DATA MINING Summitted by Jatin Sharma Roll no -32. Reg. no 10802192 A case study in Data Warehousing and Data mining Using the SAS System. Data Warehouses The drop in price of data storage has given companies willing to make the investment a tremendous resource: Data about their customers

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    Revenue Estimates Revenue Item 100% Monthly 75% Monthly 50% Monthly Notes Rooms $2‚956‚500 $2‚217‚375 $1‚478‚250 8‚100 daily Leases $180‚000 $135‚000 $90‚000 TOTAL REVENUE $3‚136‚500 $2‚352‚375 $1‚568‚250 Expences TOTAL VARIABLE COSTS $454‚000 $340‚500 $227‚000 TOTAL FIXED COSTS $1‚403‚000 $1‚403‚001 $1‚403‚002 TOTAL EXPENSE BEFORE IT $1‚857‚000 $1‚743‚501 $1‚630‚002 EBIT $1‚279‚500 $608‚874 -$61‚752 Depreciation $320‚000 $320‚001 $320‚002 EBITDA

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