1. Download the dataset house.training.csv. This dataset contains 25 quantitative explanatory variables describing many aspects of residential homes in Ames, IA. The response variable is the sale price. More description is available from

https://www.kaggle.com/c/house-prices-advanced-regression-techniques/data(Links to an external site.)

Using R, calculate the summary statistics (minimum, maximum, mean, median, and standard deviation) and create a histogram of sale price for this dataset. Describe the summary and shape of the distribution of sale price.

COPY AND PASTE ALL THE R OUTPUT FOR SUMMARY STATISTICS AND HISTOGRAM INTO A WORD DOCUMENT.OPTION #1: HOUSE PRICE PREDICTION

In real estates, housing market prediction (forecasting) is crucial. There are many factors that may influence the house prices. The datasets housing.training.csv and housing.testing.csv contain 25 quantitative explanatory variables describing many aspects of residential homes in Ames, IA.

The goal of this project is to predict house prices. To this end, we will be using regression analysis.

1. Using R, calculate the summary statistics (minimum, maximum, mean, median, and standard deviation) and create a histogram of sale price for each dataset. Comparing with housing.training,csv dataset, describe the similarities and/or differences.

2. Combine the two datasets housing.training.csv and housing.testing.csv. This can be done in R by using the function combine(). Create a histogram of sale prices for the combined dataset and compare it with the histograms from training and testing datasets. Describe the similarities and differences.

3. Using only the dataset housing.training.csv, fit a linear regression model using all the explanatory variables and SalePrice as the response variable.

4. What are the significant factors? How do these variables relate to the sale price? Interpret your estimated model.

5. Remove all the rows with missing values (NA) from the dataset housing.testing.csv. The function complete.cases() can be used. Using only the first 20 rows from housing.testing.csv, predict the sale price. The R function predict() can perform this task. You should have 20 predicted sale prices.

6. Compare the predicted sale prices to the actual sale prices from the housing.testing.csv dataset (the first 20 rows). How good is your prediction?

For each R output result, you may either type directly into a Word document or take a screenshot. If you take the screenshot, make sure that the current date is shown.

Ensure everything is clearly labeled. The report must be 12-14 pages long, including a title page and reference page (the report itself should be 10-12 pages). Cite 3-4 academic sources other than the textbook, course materials, or other information provided as part of the course materials.

read and write about a 10 page article no more than 10 years old “if you need to go to college to have a good job.” Then summarize the article in 2 pages without quotations explaining it with my understanding of words, 12-15 lines long.

SWOSU Why Should You Not Speak Poorly of Others when Networking Questions

DETAILED ASSIGNMENT

20210304035358accountability_wr

For this lab, you’ll need to download the following file, and place it into your working directory (It should be visible in the File Browser window).

lab4Data-1.mat

1. In 1999, a space probe ignited and broke into pieces around Mars. The two teams who worked on the probe used different units of measurements, causing this catastrophe. Unfortunately, the TNR (Totally Not Real) Mars Rover has a similar mistake. As it is travelling across Mars it is collecting rock samples and taking measurements in Celsius, Meters, and Kilograms. A research team has written all their programs for data analysis in Imperial units: Fahrenheit, Feet, and Pounds. The rover has sent the data as a 50×3 matrix, where each row corresponds to one of 50 rock samples. The first column is the temperature of the samples in Celsius. The second column is the diameter of the samples in Meters. The third column is the mass of the samples in Kilograms. Below are the first three rows.

[ − 90.311 0.982 0.795 6.504 0.796 0.535 − 20.331 0.992 0.777 ⋮ ]

The first sample was measured to have a temperature of -90.311° C, a diameter of 0.982 Meters, and a mass of 0.795 Kilograms, corresponding to the row -90.311 & 0.982 & 0.795

\end{bmatrix}”>

[ − 90.311 0.982 0.795 ]

To load this data into MATLAB, make sure you have lab4Data.mat in your working directory, and run the following line in your Command Window:

marsSamples = load(‘lab4Data-1.mat’, ‘data’).(‘data’)

What this is doing is loading from the file lab4Data.mat the part labeled ‘data’, and telling MATLAB the variable was stored as ‘data’, and we want to store it as ‘marsSamples’.

Convert the data from units of Celsius, Meters, and Kilograms to Fahrenheit, Feet, and Pounds using matrix arithmetic, and store the result in a matrix ‘marsSamplesConverted’.

Hint: To convert from Meters to Feet and Kilograms to Pounds, the value just needs to be multiplied by a constant. We can do this by multiplying by a vector! But when we convert from Celsius to Fahrenheit, we need to multiply by a constant and then add 32. We cannot do this with just one matrix operation. So one straightforward way to tackle the problem is to multiply our matrix by a vector to multiply each column by the necessary constants, then in another line of code worry about adding 32 to the first column only.

Measurements similar to these were actually taken to analyze Mars landings:

Rock size‐frequency distributions on Mars and implications for Mars Exploration Rover landing safety and operations (Links to an external site.)

2. For this next exercise, suppose you are an employee of the Poway Waste Water Plant. It has an open air plan, similar to the picture below.

Your supervisor, (who has just informed you that you will have to work overtime this weekend), has fallen into pool of poopy water you are observing. We wish to model the surface of the waste water, mostly to see if you will get wet from the ripple effect. You have calculated the distance from where your supervisor will fall to points around the pool, and stored them in a 50×50 matrix.

To load this matrix into MATLAB, make sure you have lab4Data.mat in your working directory, and run the following line in your Command Window:

wasteWaterDistance = load(‘lab4Data-1.mat’, ‘dist’).(‘dist’)

Below are the first few entries of the matrix:

33.234 & 32.535 & 31.851 & \\

32.535 & 31.820 & 31.121 & \cdots\\

31.851 & 31.121 & 30.406& \\

\vdots & & & \ddots

\end{bmatrix}”>

[ 33.234 32.535 31.851 32.535 31.820 31.121 ⋯ 31.851 31.121 30.406 ⋮ ⋱ ]

This means the location corresponding to the entry 1,1 is 33.234 meters from where your supervisor has fallen in.

The ripple your supervisor creates across the surface follows a sinusoidal pattern, with an initial amplitude of 1 meter. To make an approximate model of the surface shortly after your supervisor falls, we take the sine of the distance from where your supervisor fell in, divided by the distance. Calculate this using matrix arithmetic, store the result in a matrix ‘ripple’, then plot the result with surf(ripple). You can play with the plot with the rotate and zoom tools in the toolbar. Finally, you are standing in the location corresponding to the matrix entry 20,18, and are 10 cm from the surface. Do you get wet from the ripple?

TURN-IN INSTRUCTIONS

Create a script called lab4.m. Your script should include your name and each problem description in comments.

Decision making , Loops , functions , error handling. write up a summary is part 1. part 2 is analyzing code , flow chart, Pseudocode, commented source code module, screenshot console output. Part 3 fixing code. part 4 is screenshot of console outputs. I have a word document that will up with some instructions and examples.

Write a short Reflections (1-2 pages typed). choosing one to two ideas and/or quotes from the reading and analyzing them in the context of the reading. You can also bring in your own experiences and/or connections made to any current events or issues. Write a reflection on the following reading:

Read Sketching with Data Opens the Mind’s Eye.

https://www.nationalgeographic.com/science/article…

Please follow the Rubrics for the presentation
The presentation should be guided by PPT slides. The slides should include Project Objective Methodology Results Conclusions Future Studies (option) Your goal is to allow students who never read the paper to understand the main subjects and contents of

Directions

1. Think about an informative speech that you would like to present on a topic of your choice.

2. The speech can be for any context and any length, but the purpose must be to inform. See the list of example speech occasions for inspiration.

3. Download and answer each question in the the Unit 2 Touchstone Template based on the speech you are thinking of: Touchstone_2_Template.doc

4. Consider your audience, purpose, and thesis and complete Part 1 of the template.

5. Utilize your program resources, the internet or a local library to find three credible sources that are relevant to your speech and complete Part 2 of the template.

6. Read through your sources to identify five pieces of evidence that support your thesis and complete Part 3 of the template. Be sure to use at least three different types of sources (example, statistic, analogy, definition, visual, story, testimony).

7. Review the rubric to ensure that you understand how you will be evaluated. Ask a Sophia learning coach if you have any questions.

8. Review the checklist and requirements to ensure that your Touchstone is complete.

3) Explain why cisplatin undergoes ligand substitution reactions with water molecules once it has entered a cancer cell. Propose a plausible mechanism for this ligand substitution reaction.
4) It is estimated that only 1% of cisplatin reaches the targeted cancer cells due to its side reactions with biomolecules containing thiol groups (–SR2) in blood stream. What does this statement suggest about the affinity between cisplatin and a sulfur ion in the thiol groups? Please provide one reason to support your answer.
5) Cisplatin exclusively binds to 2 guanine groups in a DNA strand, which leads to the its deformation, and ultimately causes an apoptosis of the cancer cell. Draw a series of chemical equations for the formation of the guanine-based cisplatin, starting from
cisplatin. Make sure to include every intermediate.

6) This article was the first to report the exact binding mode of cisplatin to the doublestranded DNA (and hence a publication in Nature). Please briefly summarize the breakthrough discovery that was reported from this article.
7) Describe the change or changes in the DNA structure once it has coordinated to cisplatin.
8) Based on the crystal structure of cisplatin-coordinated DNA, explain why only cisplatin exhibits considerable activity toward cancer cells, but not its trans isomer, transplatin.

9) Even though cisplatin exhibits high reactivity toward cancer cells, there have been efforts to develop alternative anticancer drugs, which some of them are described in this article. What are the reasons to replace cisplatin?
10) One potential class of compounds contains sterically hindered ligands such as picolin. Even though these compounds exhibit reduced DNA binding capacity, they do offer one benefit over cisplatin: the decrease in side reactions with thiol-containing biomolecules.
Please provide a reason for the two observations described in the previous sentence.
11) Platinum(IV) compounds have been proposed as a less toxic alternative to cisplatin due to their high stability and inertness. Please use the crystal field theory to explain the inertness behavior of platinum(IV) compounds.
12) Platinum(IV) compounds are commonly octahedral in shape, while platinum(II)
compounds have a square planar geometry. Explain.
13) Explain how prodrug and inactive Pt(IV) compounds can transform to active Pt(II) species. What reagent is required for this transformation?

DETAILED ASSIGNMENT

20210304152230chem_read

The case presentation paper for this course is modeled after a standard psychodiagnostic clinical assessment (except without testing results). To complete this assignment, you will have to create an imaginary subject that meets the criteria for two DSM-5 disorders. The criteria and background history will have to be consistent with those disorders. Make sure your subject meets sufficient criteria for only your two selected diagnoses. They can have a smattering of other symptoms, but none sufficient to meet a third diagnosis that you do not discuss in the paper.
The length of the paper must be between 10-15 double-spaced pages. An INTAKE & DSM-5 CHECKLIST is included in the FILES folder in Canvas. Use this tool to develop your paper content. Do not turn in the checklist nor cut and paste bulleted items into the paper. If you list DSM criteria in your paper, it must be in paragraph form.
To get started, download the CASE PRESENTATION PAPER template in the FILES folder in Canvas. Keep the headings and fill in that section with relevant subject information Delete highlighted instructions for the final draft of your paper.
If you start early and write a little each week, it will be easily accomplished and well-thought-out. This is a creative exercise. Make your subject interesting and believable. You must persuade me that the subject, in fact, meets the criteria for the diagnoses you select.
Please select no more than TWO DIAGNOSES per the following guidelines:
•DIAGNOSIS 1: Choose a Mood Disorder, Anxiety Disorder, Obsessive-Compulsive Disorder, Childhood Disorder, Psychotic Disorder, or Personality Disorder.
•DIAGNOSIS 2: Choose a Substance Abuse Disorder, Eating Disorder, or Sexual or Gender Identity Disorder.
Remember, you are making up a fake person (do not use someone you know). Keep it simple and have fun with it!