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Abnormal Psychology

Abnormal Psychology

Abnormal Psychology
Personality disorders are chronic and persistent behavioral and emotional disturbances that are often difficult to treat. Some professionals have argued that these disorders are not mental disorders at all, but personality styles—that these individuals are just odd or unusual. Review your textbook and a minimum of two peer-reviewed references and discuss the diagnostic and measurement challenges and issues related to personality disorders. What classification approach is currently used in the DSM? Explain this approach. Identify and discuss relevant research on the causation, diagnosis, and treatment of personality disorders.

Research paper on business intelligence and analytics

Research paper on business intelligence and analytics

Class Project

In this project, you will be expected to do a comprehensive literature search and survey, select and study a specific topic in one subject area of data mining and its applications in business intelligence and analytics (BIA), and write a research paper on the selected topic by yourself. The research paper you are required to write can be a detailed comprehensive study on some specific topic or the original research work that will have been done by yourself.

Requirements and Instructions for the Research Paper:

1. The objective of the paper should be very clear about subject, scope, domain, and the goals to be achieved.

2. The paper should address the important advanced and critical issues in a specific area of data mining and its applications in business intelligence and analytics. Your research paper should emphasize not only breadth of coverage, but also depth of coverage in the specific area.

3. The research paper should give the measurable conclusions and future research directions (this is your contribution).

4. It might be beneficial to review or browse through about 20 to 30 relevant technical articles before you make decision on the topic of the research project.

5. The research paper can be:

a. Literature review papers on data mining techniques and its applications for business intelligence and analytics.
b. Study and examination of data mining techniques in depth with technical details.

c. Applied research that applies a data mining method to solve a real world application in terms of the domain of BIA.

6. The research paper should reflect the quality at certain academic research level.

7. The paper should be about at least 3000-3500 words.

8. The paper should include adequate abstraction or introduction, and reference list.

9. Please write the paper in your words and statements, and please give the names of references, citations, and resources of reference materials if you want to use the statements from other reference articles.

10. From the systematic study point of view, you may want to read a list of technical papers from relevant magazines, journals, conference proceedings and theses in the area of the topic you choose.

11. For the format and style of your research paper, please make reference to CEC Dissertation Guide (http://cec.nova.edu/documents/diss_guide.pdf), Publication Manual of APA, or the format of ACM and IEEE journal publications.

Suggested and Possible Topics for Written Report (But Not Limited)

Supervised Learning Methods:

Classification Methods:

Regression Methods

Multiple Linear Regression

Logistic Regression

Ordered Logistic And Ordered Probit Regression Models

Multinomial Logistic Regression Model

Poisson and Negative Binomial Regression Models

Bayesian Classification

Naïve Bayes Method

k Nearest Neighbors

Decision Trees

ID3 (Iterative Dichotomiser 3)

C4.5 and C5.0

CART (Classification and Regression Trees)

Scalable Decision Tree Techniques

Neural Network-Based Methods

Back Propagation

Neural Network Supervised Learning

Bayes Belief Network

Rule-Based Methods

Generating Rules from a Decision Tree

Generating Rules from a Neural Net

Generating Rules without Decision Tree or Neural Net

Support Vector Machine

Fuzzy Set and Rough Set Methods

Unsupervised Learning Methods:

Clustering Methods:

Partition Based Methods

Squared Error Clustering

K-Means Clustering (Centroid-Based Technique)

K-Medoids Method (Partition Around Medoids, Representative Object-Based Technique)

Bond Energy

Hierarchical Methods

Agnes(Agglomerative vs. Divisive Hierarchical Clustering)

BIRCH (Balanced Iterative Reducing and Clustering Using Hierarchies) Chameleon (Hierarchical Clustering using Dynamic Modeling)

CLARANS (Clustering Large Applications Based Upon Randomized Search) CURE (Clustering Using REpresentatives)

Density Based Methods

DBSCAN (Density Based Spatial Clustering of Applications with Noise, Density Based Clustering Based on Connected Regions with High Density)

OPTICS (Ordering Points to Identity the Clustering Structure)

DENCLUE (DENsity Based CLUstEring, Clustering Based on Density Distribution Functions)

Grid-Based Methods

STING (Statistical Information Grid)

CLIQUE (Clustering In QUEst, An Apriori-like Subspace Clustering Method)

Probabilistic Model Based Clustering

Clustering Graph and Network Data (For Example, Social Networks)

Self-Organized Map Technique

Evaluation and Performance Measurement of Clustering Methods

Assessing Clustering Technology

Determining the Number of Clusters

Measuring Clustering Quality

Association Rule Mining

Evolution Based Methods:

Genetic Algorithms

Applications:

Data Mining Applications for Business Intelligence and Analytics

Text Mining

Spatial Mining

Temporal Mining

Web Mining

Others:

Over fitting and Under fitting issues

Outliers

Performance Evaluation and Measurement

Confusion Matrix

ROC (Receiver Operating Characteristic)

AUC (Area Under the Curve)

Data Mining Tools

XLMiner

RapdiMiner

Weka

NodeXL

Suggested and Possible Topics for Written Report (But Not Limited)

Supervised Learning Methods:

Classification Methods:

Regression Methods

Multiple Linear Regression
Logistic Regression

Ordered Logistic And Ordered Probit Regression Models
Multinomial Logistic Regression Model

Poisson and Negative Binomial Regression Models

Bayesian Classification
Naïve Bayes Method

k Nearest Neighbors

Decision Trees
ID3 (Iterative Dichotomiser 3)
C4.5 and C5.0
CART (Classification and Regression Trees)

Scalable Decision Tree Techniques

Neural Network-Based Methods
Back Propagation

Neural Network Supervised Learning

Bayes Belief Network

Rule-Based Methods
Generating Rules from a Decision Tree
Generating Rules from a Neural Net

Generating Rules without Decision Tree or Neural Net

Support Vector Machine

Fuzzy Set and Rough Set Methods

Unsupervised Learning Methods:

Clustering Methods:

Partition Based Methods

Squared Error Clustering
K-Means Clustering (Centroid-Based Technique)
K-Medoids Method (Partition Around Medoids, Representative Object-Based Technique)

Bond Energy

Hierarchical Methods
Agnes(Agglomerative vs. Divisive Hierarchical Clustering)

BIRCH (Balanced Iterative Reducing and Clustering Using Hierarchies) Chameleon (Hierarchical Clustering using Dynamic Modeling)

CLARANS (Clustering Large Applications Based Upon Randomized Search) CURE (Clustering Using REpresentatives)

Density Based Methods

DBSCAN (Density Based Spatial Clustering of Applications with Noise, Density Based Clustering Based on Connected Regions with High Density)

OPTICS (Ordering Points to Identity the Clustering Structure)

DENCLUE (DENsity Based CLUstEring, Clustering Based on Density Distribution Functions)

Grid-Based Methods
STING (Statistical Information Grid)

CLIQUE (Clustering In QUEst, An Apriori-like Subspace Clustering Method)

Probabilistic Model Based Clustering

Clustering Graph and Network Data (For Example, Social Networks)

Self-Organized Map Technique

Evaluation and Performance Measurement of Clustering Methods

Assessing Clustering Technology

Determining the Number of Clusters

Measuring Clustering Quality

Association Rule Mining

Evolution Based Methods:

Genetic Algorithms

Applications:

Data Mining Applications for Business Intelligence and Analytics

Text Mining

Spatial Mining

Temporal Mining

Web Mining

Others:

Over fitting and Under fitting issues

Outliers

Performance Evaluation and Measurement

Confusion Matrix

ROC (Receiver Operating Characteristic)

AUC (Area Under the Curve)

Data Mining Tools

XLMiner

RapdiMiner

Weka

NodeXL

Discuss the challenges and provide solutions for nurses to be accepted as equal partners in an interprofessional team.

Discuss the challenges and provide solutions for nurses to be accepted as equal partners in an interprofessional team.

Task: Essay

Essay topic: Nurses are generally seen as having much less authority than doctors in the decision-making process related to patient care.

Discuss the challenges and provide solutions for nurses to be accepted as equal partners in an interprofessional team.

You will need to:

Address the question in full, engage in critical analysis of the issues, and supporte arguments by the relevant and high quality literature.

You are required to present a well-written paper, with logically organised discussion points, clear grammar and accurate spelling. Please refer to the marking guide criteria provided for you in VU Collaborate, in the Assessment Information folder.

In-text citations and a full reference list (APA 6th format) are required.

References-

1. Code of Ethics for Nurses in Australia

2. Code of Professional Conduct for Nurses in Australia

3. INTERPROFESSIONAL CONFLICT AND REPAIR: A STUDY OF BOUNDARY WORK IN THE HOSPITAL

4. Code of ethics for midwives in Australia

5. Code of professional conduct for midwives in Australia

6. Nurse practitioner standards for practice.

Analyze the situation-prepare a recommendation for the coo

Analyze the situation-prepare a recommendation for the coo

Assignment : Team Work

Cultural differences and personality differences can impact cooperation. Team building is an important aspect of communication. Consider some aspects of culture and personality that may impact how people work together.

Research the importance of teamwork and the impact of personal and cultural differences on team building using your textbook, the Argosy University online library resources, and the Internet.

Situation:

After you helped your company, Labolg, prepare for expansion into other countries, the chief operating officer (COO) approaches you and tells you that she feels the differences among team members is negatively affecting production. She asks if you have any ideas for productive ways to work with the differences in their organization.

Analyze the situation and prepare a recommendation for the COO. State any assumptions you make about the nature of differences in the team.

Write a two- to three-page paper in Word format. Apply APA standards for writing style to your work.

Discuss the main reasons why abuse of seniors is recognized

Discuss the main reasons why abuse of seniors is recognized

In 200 words answer:

• The Center for Disease Control (CDC) identified suicide as a common death investigation within the United States. In some instances, family members attempt to hide the fact that the person took their own life. Analyze the main reasons why persons would attempt to conceal such an event which could possibly lead them into receiving criminal charges themselves. Recommend at least one action that the law enforcement could take in order to investigate such a suicide crime.

• The National Center on Elder Abuse indicates that seniors are the fastest-growing population in the United States. It is apparent that as this populace becomes more physically frail, they are seemingly a greater target for the unscrupulous to take advantage. Discuss the main reasons why abuse of seniors is recognized yet usually goes unreported. Next, suggest one action that citizens or family members could take to reduce elder abuse. Provide a rationale to support your response.

Discuss influence of african art on european and america art

Discuss influence of african art on european and america art

Part 1-

The overall assignment is to write a 1250-1800 word paper on one from a list of topics.

Please follow these Guidelines:

-Double-space the paper, using Times New Roman font in 12-point.

-Use MLA formatting and documentation style.

-Cite correctly. Put all copied words, phrases, sentences, etc. in quotation marks and cite all paraphrased words, ideas, and arguments correctly.

-Include examples of art works to support your analysis. (Feel free to include illustrations in your paper.)

Choose from the following topics:

1. Write an essay that addresses this statement: “The definition of ‘art’ has shifted and changed over time and across cultures.” Refer to specific works of art, artists, styles, conventions, and/or movements that serve as examples to support your agreement or disagreement with this statement.

2. Discuss the traditional arts and the historical attitude toward art of one of these cultures: India, China, or Japan. Explain when and how the culture came into contact with other cultures-especially Western cultures-and the results of that contact on both.

3. Identify three artists from different centuries who have used their art to comment on social or political issues, citing specific works in support of your selections. Comment on the reasons that you feel these artists have succeeded or failed in producing recognition or change through their art.

4. Discuss the influence of African art on European and American art from the 19th century through the present, citing specific works, artists, styles, or movements that have been influential.

5. Discuss the influence of photography on the art of the late 19th and 20th centuries, citing specific uses of photography. Discuss the shifting and sharing of the functions and purposes of art by painting, drawing, and photography.

Part 2-

1.An introductory paragraph. This should begin with a “hook,” introduce the topic, and include a thesis statement. The thesis statement should be the directing statement/argument for the paper. Papers should have a strong thesis statement. Please highlight the thesis statement in the paragraph. Also, don’t forget to come up with an original, creative, meaningful title.

2. A list of possible sources. This may change as you continue your research. These sources must be cited in MLA format. Do NOT use sources like Wikipedia, about.com, crystallinks, Yahoo answers, etc. Use college-level research sources. Wikipedia canbe used for images only.

Write an essay on changing political systems

Write an essay on changing political systems

Choose one of the regions covered in the last 3 lectures of the course (Mediaeval Europe, Byzantium, Mongol/Turkic Eurasian Silk Road) and write an essay on changing political systems. Identify 4 ways in which the populations in these areas would have been most affected by the changes in regimes. How would they have been affected in each case? Identify two social or geographical or economic areas where the change would have been felt the least. Be sure to point to specific places in the course materials where you can see most directly the impact and non-impact of the new regimes.