Principles of X-ray Diffraction Diffraction effects are observed when electromagnetic radiation impinges on periodic structures with geometrical variations on the length scale of the wavelength of the radiation. The interatomic distances in crystals and molecules amount to 0.15–0.4 nm which correspond in the electromagnetic spectrum with the wavelength of x-rays having photon energies between 3 and 8 keV. Accordingly‚ phenomena like constructive and destructive interference should become observable
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Physics H7ABC Welcome to the archival Web page for U.C. Berkeley’s Physics H7ABC‚ Honors Physics for Scientists and Engineers‚ Fall 1998‚ Spring 1999‚ and Fall 1999. Instructor: (Prof.) Mark Strovink. I have a research web page‚ a standardized U.C. Berkeley web page‚ and a statement of research interests. Physics H7A (Mechanics and Vibrations) Problem set solutions initially composed by E.A. ("Ted") Baltz Graduate Student Instructors: David Bacon and Elizabeth Wu Physics H7B (Electromagnetism
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A TECHNICAL REPORT ON PHASE CHANGE MATERIALS & SOLAR WATER HEATING USING PHASE CHANGE MATERIALS INDEX 1. Introduction 2. Types of Phase Change Materials 3. Selection criteria 4. Principle of solar water heater with phase change materials 5. Heat transfer analysis between water and PCM’s 6. Results 7. Conclusion CHAPTER – 1 INTRODUCTION PHASE CHANGE MATERIALS: The materials which undergo either boiling or condensing by absorbing heat from a medium or liberating
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Types of Prejudice PSY322 Intergroup Relations Jonathan Cadieux Outline • • • • • Model of Prejudice Sexism Overweight Sexual Orientation Ageism Fiske Prejudice Model 4 Types of Groups Based on Competence and Warmth Competence: perceived group status Warmth: perceived competition Group 1: Incompetent but warm Low status‚ not competitive Results in Paternalistic Prejudice Group 2: Incompetent and not warm – Low status‚ competitive – Results in
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Executive Summary Since its’ inception in 1987‚ Aéropostale‚ named after the 1920s French airmail firm‚ has become one of the leaders in designing‚ making and retailing of teen casual apparel and accessories. Aéropostale stores are primarily located in malls‚ shopping plazas and large outlet centers where they can best reach their teen clientele. The company’s main competitors include other clothing brands that cater to teens. Some of these competitors that we considered for Part I of this analysis
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Apollo Shoes‚ Inc. Potential Problem Areas December 31‚ 2011 The following refers to the Comparative Trial Balances‚ GA-7.1 through GA-7.5: Accounts Receivable‚ Other Receivables‚ Allowance for Doubtful Accounts‚ Bad Debt ExpenseInventories and Reserve for Inventory Obsolescence Prepaid Insurance and Insurance Expense Machinery‚ Equipment‚ and Office Furniture Accounts Payable Taxes Payable Line of Credit Sales‚ Sales Returns‚ Net Sales – Relationship to Inventory Research & Development
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CS229 Lecture notes Andrew Ng Supervised learning Lets start by talking about a few examples of supervised learning problems. Suppose we have a dataset giving the living areas and prices of 47 houses from Portland‚ Oregon: Living area (feet2 ) 2104 1600 2400 1416 3000 . . . Price (1000$s) 400 330 369 232 540 . . . We can plot this data: housing prices 1000 900 800 price (in $1000) 700 600 500 400 300 200 100 0 500 1000 1500 2000 2500 3000
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ACC 208 Group 8 PROBLEM 5-20A Requirement 1 Compute the company’s CM ratio and its break-even point in both units and dollars. CM Ratio= CM / Sales ($270‚000 - $189‚000) / $270‚000 CM Ratio= .30 = 30% Break-even point in units= Fixed Expenses / UCM 90‚000 / [(270‚000 / 13‚500) - (189‚000 / 13‚500)]= 90‚000/6= 15‚000 units Break-even point sold in total sales dollars= Fixed Expenses/ CM Ratio 90‚000 / 30% = $300‚000 Requirement 2 The sales manager feels that an $8‚000 increase in the monthly
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x=linspace(0‚2*pi‚100); >> y=sin(x); >> plot(x‚y) >> xlabel(’x’) >> ylabel(’y’) >> title(’plot created by ashita’) 2.plot y=e^(-0.4x)sinx range 0 x=linspace(0‚4*pi‚100); y=exp(-0.4.*x).*sin(x); >> plot(x‚y) >> x=linspace(0‚4*pi‚10); y=exp(-0.4.*x).*sin(x); >> plot(x‚y) >> x=linspace(0‚4*pi‚50); y=exp(-0.4.*x).*sin(x); >> plot(x‚y) 3. use the cmd plot3(x‚y‚z) to plot the circular helix x(t)=sin(t) y(t)=cos(t) z(t) =t range:0 t=linspace(0‚pi/9‚10); >> x=sin(t); y=cos(t); z=t;
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12‚000 Cash 12‚000 Q 3 1. service revenue 3700 Office supplies exp 600 Depreciation exp 2500 Rent exp 1900 Net income 1300 2. Retained Earnings (1 Dec)
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