New York City

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This research paper asks if Should New York be known more for its social problems (crime, poverty, etc.) or for its ability to inspire the imagination and facilitate success? (Or, perhaps both?) I would like you to talk about how NYC should be known for both. The guide for this research paper is uploaded

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Ensure that you have completed all assessment requirements (ideally at the distinguished level).

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Preparation

In preparation for this assessment, select a research question that addresses the relationship between learning, cognition, and memory. Take time to use the Capella University Library to familiarize yourself with key topics for this assessment:

  • The relationship between learning, cognition, and memory.
  • The approaches and goals of researching learning and memory.

Please remember to review the scoring guide as you work through this assessment to ensure that you have completed all required elements.

Choose one of the following scenarios as a guide for your research:

  • A dementia patient has difficulty remembering major life events, such as the loss of her spouse. She is also typically not oriented to people, places, time, or situations. She can, however, sing along to some of her favorite oldies songs when she hears them. How can her selective memory be explained?
  • You are part of a marketing team for the Walt Disney Company, which now owns 21st Century Fox. The acquisition includes Marvel characters such as the X-Men and Fantastic Four. What are some strategies for developing memorable and persuasive advertisements for some of these newly acquired Marvel characters?
  • A parent is having problems with his adolescent child, who is becoming increasingly defiant. When offering advice, you want to incorporate information about how the brain can influence behavior. How would you explain the typical brain functioning of a teenager compared to an adult? Also, share how a teen’s cognitive processes can cause behavioral changes during adolescence.
  • You see a news story about a person who vanished from his home and was missing for several years. He was found in a city (far away from his original home) with a lack of memory for the past, including his original name, relationships, former place of residence, and former occupation. He has taken on a completely new identity. Explain what could have caused this rare condition.
  • An older adult is considering going to a postsecondary institution to earn an undergraduate degree, because she always wanted to graduate from college. She is concerned that she will have difficulty learning new things because of her age. Are her concerns warranted?

For the purpose of this assessment, you will not be expected to answer the question or solve the problem. You will be exploring different approaches to researching the components of the question in order to address the topic from different angles.

Instructions

For this assessment, complete the following:

  • Choose one research question from the list above that you would like to explore related to learning and memory.
  • Find three scholarly sources in the Capella University Library, such as peer-reviewed research articles, that are related to the research question you chose. These articles should be no more than five years old. At least one article must describe empirical data collection. (Typically these articles contain headings such as participants, measures, instruments, and results.)
    • For all articles, summarize what you learned from each source regarding your research question, and how this knowledge contributes to or changes your understanding of learning and memory.
    • For the empirical article, summarize the research methods and measures (when applicable) used in each of the articles you read. Different approaches will measure memory or learning in different ways, based on the conceptual approach.
  • Describe the practical impact that the research question or information from the articles you read might have on your personal and professional life. In what ways can this knowledge of learning and memory be applied to your life or work?
  • Strive to be as concise as possible. Limit the length of your completed assessment to 2–3 pages, excluding the title page and reference page.
  • Support your statements and analyses with references and citations from your scholarly resources.
  • Note: You may (but are not required to) use the APA Paper Template, linked in the Resources.

Self-Evaluation

When you have finished your research paper, write a separate, one-page self-evaluation of your work compared to the scoring guide criteria. Use this self-evaluation to:

  • Ensure that you have completed all assessment requirements (ideally at the distinguished level).
  • Evaluate your performance using the criteria in the scoring guide.
    • Indicate the proficiency level you met for each criterion.
  • Include the scoring guide (including comments) with your self-evaluation.
  • Submit as a separate attachment when you submit your research paper.

Additional Requirements

  • Written communication: Written communication should be free of errors that detract from the overall message.
  • APA formatting: Resources and citations should be formatted according to APA style and formatting.
  • Length of paper: 2–3 double-spaced pages, not including title page or references.
  • Font and font size: Times New Roman, 12-point.
  • References: A minimum of three scholarly resources (no more than five years old) is required.

 

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R | Computer Science homework help

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SUBMISSION REQUIREMENTS: Please submit a single R script file named with your “First_Last Name.R” ONLY.  Your R script code must calculate the effectivness of your classification as described below.

Similar to the classification example.  process and classify the newsgroup document data. Download this data  and save it on your computer in your R packages folder under “tm/text/”. Your code MUST access it from there!

Note that the data is separated into one test and one train folder, each containing 20 sub folders on different subjects. Choose these 2 subjects to analyze (sci.space and rec.autos) and 100 documents from each.  

Consider “rec.autos” as positive and “sci.space” as negative event. Note that kNN  syntax expects (Positive First, Negative second)

Classify the Newsgroups data (by date version data set) from Blackboard:

•        Save data in your “tm/text/” folder so you can specify path using system.file()

•       Note that the data is separated into one test and one train folder, each containing 20 sub folders on different subjects.

Choose these 2 subjects to analyze (sci.space and rec.autos) and 100 documents from each.

•        For each subject select:

–       100 documents for training from the train folder

–       100 documents for testing from the test folder

•        Obtain the merged Corpus (of 400 documents), please keep the order as

–       Doc1.Train from the “sci.space” newsgroup train data

–       Doc1.Test from the “sci.space” newsgroup test data

–       Doc2.Train from the ” rec.autos” newsgroup train data

–       Doc2.Test from the ” rec.autos” newsgroup test data

•        Implement preprocessing (clearly indicate what you have used)

•        Create the Document-Term Matrix using the following arguments (word lengths of at least 2, word frequency of at least 5)

–      use: control=list(wordLengths=c(2,Inf), bounds=list(global=c(5,Inf)))

•        Split the Document-Term Matrix into proper test/train row ranges

–       train range containing rows (1:100) and (201:300)

–       test range  containing rows (101:200) and (301:400)

–       Note that knn expects the positive (“Rec”) event as first, so re-adjust your train/test range if necessary.  

•        Use the abbreviations “Positive” and “Negative” as tag factors in your classification.

–       Check if the tag order is correct using table(Tags)

–       You should get

•        Tags

•        Positive Negative

•        100      100

–       If your order is not right make proper changes.

•        Classify text using the kNN() function

•        Display classification results as a R dataframe and name the columns as:

–       “Doc”

–       “Predict”  – Tag factors of predicted subject (Positive or Negative)

–       “Prob” – The classification probability

–       “Correct’ – TRUE/FALSE

•        What is the percentage of correct (TRUE) classifications?

•        Estimate the effectiveness of your classification:

– Calculate and  clearly mark the values TP, TN, FP, FN

–       Create the confusion matrix and name the rows and columns with what is Positive/Negative event

–       Calculate Precision

–       Calculate Recall

–       Calculate F-score

Note that one way you can select only 100 documents is

> Temp1 <- DirSource(Doc1.TestPath)

> Doc1.Train <- Corpus(URISource(Temp1$filelist[1:100]),readerControl=list(reader=readPlain))

Given the following rate law, how does the rate of reaction change if the concentration of Z is quadrupled?

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Given the following rate law, how does the rate of reaction change if the concentration of Z is quadrupled? Rate = k [X]}[Y]2

Given the following rate law, how does the rate of reaction change if the concentration of Z is quadrupled? Rate = k [X]}[Y]2[z] The rate of reaction will increase by a factor of O O O O O

 

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