This document discusses database concepts like fields, attributes, data types, primary keys and validation rules. It provides examples of designing databases to store student information and sales data. Entity-relationship diagrams are explained to represent relationships between entities like one-to-one, one-to-many and many-to-many. Examples are given of entity-relationship diagrams for a hospital database and police database.
This document discusses the use of concordancers in corpus linguistics and language teaching. A concordancer is a tool that allows users to search electronic texts and analyze word combinations and frequencies. The document provides examples of concordancer programs and discusses how they can be used by students, language teachers, and researchers. It then summarizes two articles that used concordancers - one to analyze metaphoric expressions used by doctors and patients, and another to teach medical students how to write academic research descriptions.
This document discusses and provides information on four different concordancing tools that can be used for educational purposes: AntConc, AdTAT, Saffron, and TextSTAT. It provides the websites for each tool and briefly describes their functions, such as generating word frequency lists and concordances, analyzing texts in different languages and encodings, and performing textual searches using regular expressions. The document concludes by thanking the reader.
This document provides instructions for students on submitting papers to Turnitin and interpreting Originality Reports from Turnitin at the University of Western Sydney. It explains how to submit papers electronically through the university's online system, the formats accepted, and how to access and understand the Originality Reports once processed. The reports show matching text and allow comparing submissions to sources to help students properly cite sources and avoid plagiarism. Percentage matches indicate the amount of copied text but require students' own academic judgment on originality.
AACL 2018 - Going Beyond Simple Word-list Creation Using CasualConcyasuimao
This is a slightly modified version of the slides presented at AACL 2018, Atlanta, Georgia.
All the graphs on the slides are created by CasualConc using R.
This document provides instructions on how to use Turnitin and interpret Turnitin reports. It explains that Turnitin is software that checks submissions against online sources to detect plagiarism. It gives step-by-step directions on submitting assignments to Turnitin and understanding the originality report. The report shows text matches as a percentage and highlights sources. A high percentage may indicate poor writing or plagiarism, while a low percentage does not guarantee original work. Context is important in evaluating reports.
This document discusses how to define and create notes in an electronic medical records system. It describes linking a foundation file to establish note margins and locations, selecting a title, tab, and doctype for the note. It also discusses adding note elements like vitals, medications, and inserting default text that can apply to specific users or all users. The default text can include variables and its font size can be set globally.
The document provides an overview of APA citation rules, including how to format in-text citations and references for sources with different numbers of authors. It discusses citing single and multiple authors in both narrative and parenthetical citations. Specific formatting is outlined for quotations, sources from the same author, and sources published the same year. Examples are provided to illustrate each rule.
This document discusses database concepts like fields, attributes, data types, primary keys and validation rules. It provides examples of designing databases to store student information and sales data. Entity-relationship diagrams are explained to represent relationships between entities like one-to-one, one-to-many and many-to-many. Examples are given of entity-relationship diagrams for a hospital database and police database.
This document discusses the use of concordancers in corpus linguistics and language teaching. A concordancer is a tool that allows users to search electronic texts and analyze word combinations and frequencies. The document provides examples of concordancer programs and discusses how they can be used by students, language teachers, and researchers. It then summarizes two articles that used concordancers - one to analyze metaphoric expressions used by doctors and patients, and another to teach medical students how to write academic research descriptions.
This document discusses and provides information on four different concordancing tools that can be used for educational purposes: AntConc, AdTAT, Saffron, and TextSTAT. It provides the websites for each tool and briefly describes their functions, such as generating word frequency lists and concordances, analyzing texts in different languages and encodings, and performing textual searches using regular expressions. The document concludes by thanking the reader.
This document provides instructions for students on submitting papers to Turnitin and interpreting Originality Reports from Turnitin at the University of Western Sydney. It explains how to submit papers electronically through the university's online system, the formats accepted, and how to access and understand the Originality Reports once processed. The reports show matching text and allow comparing submissions to sources to help students properly cite sources and avoid plagiarism. Percentage matches indicate the amount of copied text but require students' own academic judgment on originality.
AACL 2018 - Going Beyond Simple Word-list Creation Using CasualConcyasuimao
This is a slightly modified version of the slides presented at AACL 2018, Atlanta, Georgia.
All the graphs on the slides are created by CasualConc using R.
This document provides instructions on how to use Turnitin and interpret Turnitin reports. It explains that Turnitin is software that checks submissions against online sources to detect plagiarism. It gives step-by-step directions on submitting assignments to Turnitin and understanding the originality report. The report shows text matches as a percentage and highlights sources. A high percentage may indicate poor writing or plagiarism, while a low percentage does not guarantee original work. Context is important in evaluating reports.
This document discusses how to define and create notes in an electronic medical records system. It describes linking a foundation file to establish note margins and locations, selecting a title, tab, and doctype for the note. It also discusses adding note elements like vitals, medications, and inserting default text that can apply to specific users or all users. The default text can include variables and its font size can be set globally.
The document provides an overview of APA citation rules, including how to format in-text citations and references for sources with different numbers of authors. It discusses citing single and multiple authors in both narrative and parenthetical citations. Specific formatting is outlined for quotations, sources from the same author, and sources published the same year. Examples are provided to illustrate each rule.
Comparing Three Plagiarism Tools (Ferret, Sherlock, and Turnitin)Waqas Tariq
Abstract An attempt was made to carry out an experiment with three plagiarism detection tools (two free/open source tools, namely, Ferret and Sherlock, and one commercial web-based software called Turnitin) on Clough-Stevenson’s corpus including documents classified in three types of plagiarism and one type of non-plagiarism. The experiment was toward Extrinsic/External detecting plagiarism. The goal was to observe the performance of the tools on the corpus and then to analyze, compare, and discuss the outputs and, finally to see whether the tools’ identification of documents is the same as that identified by Clough and Stevenson. It appeared that Ferret and Sherlock, in most cases, produce the same results in plagiarism detection performance; however, Turnitin reported the results with great difference from the other two tools: It showed a higher percentage of similarities between the documents and the source. After investigating the reason (just checked with Ferret and Turnitin, cause Sherlock does not provide a view of the two documents with the overlapped and distinct parts), it was discovered that Turnitin performs quite acceptable and it is Ferret that does not show the expected percentage; it considers the longer text (for this corpus the longer is always the source) as the base and then looks how much of this text is overlapped by the shorter text and the result is shown as the percentage of similarity between the two documents, and this leads to wrong results. From this it can be also speculated that Sherlock does not manifest the results properly.
The document outlines author guidelines for submitting manuscripts to the Journal of Textiles, including:
1) Manuscripts must be submitted electronically through the online system by one of the authors. Only PDF or Word files are accepted.
2) Papers must not have been previously published or under review elsewhere. Authors are responsible for approval by co-authors and their institution.
3) All manuscripts undergo peer review to ensure academic excellence. Reviewers remain anonymous.
4) Open access charges allow published material to be available to all online visitors. Authors should consult the fees information.
Learn C# Programming - Data Types & Type ConversionEng Teong Cheah
Add C# syntax to your vocabulary by exploring fundamental building blocks: data types. In addition, learn about basic topics, such as naming conventions and data type conversions.
Reference List Citations - APA 6th EditionJanice Orcutt
This document provides information on APA citation rules, including how to format reference list citations for different source types such as periodicals, books, and journal articles. It discusses the elements included in citations, such as author, date, title, and publisher. Ordering principles for reference lists are also covered, such as alphabetical ordering and distinguishing works by the same author. Examples are provided to illustrate different citation formats.
PLAGIARISM DETECTION & MANAGEMENT USING TURNITINDr.Kamran Ishfaq
This document discusses plagiarism detection and management using Turnitin. It explains that Turnitin is a plagiarism detection tool that compares submitted papers against its database to generate originality reports showing text matches. The document outlines how to use Turnitin, including creating classes and assignments, uploading papers, and viewing originality reports. Benefits of Turnitin include deterring plagiarism, saving time in investigations, and providing documentation.
ACIS 2015 Bibliographical-based Facets for Expertise SearchGan Keng Hoon
This document discusses expertise search and proposes a bibliographical-based faceted search framework. It describes the problem with current faceted search approaches that use general predefined facets rather than facets extracted from bibliographical texts. The proposed framework first extracts facet values from texts using natural language processing techniques. It then generates facet-value pairs to refine search results. The framework was evaluated on a dataset of bibliographical records using precision and recall measured against human experts. The framework aims to improve discovery of expertise by allowing refinement of search results based on extracted facets from bibliographical texts.
This document summarizes data types in C#, including value types (such as int, float, enumerations, and structs), reference types (such as objects, strings, classes, arrays, and delegates), and how everything inherits from System.Object. It explains that value types directly contain variable data while reference types contain a reference to the data. The document also outlines the hierarchies for value types and reference types.
explanation on C# value data types and reference data types. It also explains how they are stored in the heap or stack memory.
Feel free to drop your questions and comments below.
Sherlock a deep learning approach to semantic data type detemayank272369
The document describes Sherlock, a deep learning model for detecting the semantic type of data columns. It was trained on over 686,000 columns labeled with one of 78 semantic types, which were characterized using 1,588 features describing textual and statistical properties. Sherlock achieved an F1 score of 0.89 for semantic type detection, outperforming machine learning baselines, rule-based matching approaches, and crowdsourced annotations. The authors open source the data, code, and trained model to support future benchmarking of semantic type detection methods.
CSPro is a very powerful software package which lets one manage survey data. I believe that these training slides will provide a good insight to use CSPro.
NLP Professional Publication and Presentation Links.Aaron 2011-2013Lifeng (Aaron) Han
Aaron has given several professional presentations and published papers from 2011-2013 related to his work in natural language processing. This includes presentations on machine translation evaluation given in Hong Kong in 2013 and France in 2013, as well as a presentation on Chinese named entity recognition given in Poland in 2013. Aaron has also published several papers in peer-reviewed conferences and journals, including papers on machine translation evaluation metrics, Chinese word segmentation, and Chinese named entity recognition. Links are provided to view the slides from Aaron's presentations and download copies of his published papers.
ECTEL2006 Doctoral Consortium presentation about my research in Metrics for Learning Object Metadata. More information: http://ariadne.cti.espol.edu.ec/Learnometrics
This document discusses validation for different types of data when writing test cases and executing tests. It provides information on validating text fields, date fields, and numeric data. For text fields, it describes validating mandatory fields, maximum length, accepted special characters, trimming spaces, and case sensitivity. For date fields, it discusses validating format, comparing to current and other dates. For numeric data, it covers validating mandatory fields, maximum and minimum values, integer/decimal, positive/negative, and format conversion. The document concludes by inviting discussion.
Using twitter to monitor political sentimentAmal Mahmoud
Using Twitter to Monitor Political Sentiment for Arabic Slang
The document discusses using Twitter data to analyze political sentiment in Arabic language tweets, specifically related to the 2012 Egyptian presidential election. It explores using machine learning algorithms like Naive Bayes with n-grams and feature selection to classify tweets as expressing positive or negative sentiment. The results showed that using unigrams and information gain feature selection achieved the highest accuracy for sentiment classification of Arabic tweets.
AntConc is a free corpus analysis software first released in 2002. It was developed using PERL programming language to enable easy porting between Windows and Linux environments. Based on user feedback, new versions added more features to the concordancer tool, including searching via regular expressions, sorting results, and viewing search terms in original files. Future improvements could better handle annotated data like XML.
EMBERS AutoGSR: Automated Coding of Civil Unrest EventsParang Saraf
EMBERS AutoGSR is a novel, web based framework that generates a comprehensive database of validated civil unrest events using minimal human effort. AutoGSR is a deployed system for the past 6 months that is continually processing data 24X7 in an automated fashion. The system extracts civil unrest events of type "who protested where, when and why?" from news articles published in over 7 languages, and collected from 16 countries.
For more information, please visit: http://people.cs.vt.edu/parang/ or contact parang at firstname at cs vt edu
The document discusses accessibility issues and efforts to improve accessibility of online content. It defines accessibility, describes typical accessibility problems people face, and covers support and guidelines from organizations like the W3C. Technologies discussed that can improve accessibility include XML, CSS, SVG, and MathML. Author support and tools for validation and evaluation of accessibility are also mentioned. The document advocates describing content in terms of user needs and preferences to avoid issues around disabilities and legal liability.
Turnitin is presented as an alternative to SafeAssignment for assessing student assignments. It is a plagiarism detection tool that compares student submissions to an extensive online database containing billions of webpages and millions of archived student papers. The document provides information on setting up Turnitin assignments, how students can submit work, and mass uploading past student works. Links are also included for demo videos and guides on using Turnitin within the NIE learning management system.
This document summarizes Blackboard's i-SMS interactive messaging system. It allows instructors to engage students during lessons by posting poll questions or discussion prompts that students can respond to using their mobile devices. The current system allows anonymous student feedback via SMS. Future plans include making it mobile-enabled, allowing instructors to pre-create questions, and integrating with other student response tools like eClicker and Socrative for more interactive lessons. Technical specialists are working to expand the system's capabilities.
Comparing Three Plagiarism Tools (Ferret, Sherlock, and Turnitin)Waqas Tariq
Abstract An attempt was made to carry out an experiment with three plagiarism detection tools (two free/open source tools, namely, Ferret and Sherlock, and one commercial web-based software called Turnitin) on Clough-Stevenson’s corpus including documents classified in three types of plagiarism and one type of non-plagiarism. The experiment was toward Extrinsic/External detecting plagiarism. The goal was to observe the performance of the tools on the corpus and then to analyze, compare, and discuss the outputs and, finally to see whether the tools’ identification of documents is the same as that identified by Clough and Stevenson. It appeared that Ferret and Sherlock, in most cases, produce the same results in plagiarism detection performance; however, Turnitin reported the results with great difference from the other two tools: It showed a higher percentage of similarities between the documents and the source. After investigating the reason (just checked with Ferret and Turnitin, cause Sherlock does not provide a view of the two documents with the overlapped and distinct parts), it was discovered that Turnitin performs quite acceptable and it is Ferret that does not show the expected percentage; it considers the longer text (for this corpus the longer is always the source) as the base and then looks how much of this text is overlapped by the shorter text and the result is shown as the percentage of similarity between the two documents, and this leads to wrong results. From this it can be also speculated that Sherlock does not manifest the results properly.
The document outlines author guidelines for submitting manuscripts to the Journal of Textiles, including:
1) Manuscripts must be submitted electronically through the online system by one of the authors. Only PDF or Word files are accepted.
2) Papers must not have been previously published or under review elsewhere. Authors are responsible for approval by co-authors and their institution.
3) All manuscripts undergo peer review to ensure academic excellence. Reviewers remain anonymous.
4) Open access charges allow published material to be available to all online visitors. Authors should consult the fees information.
Learn C# Programming - Data Types & Type ConversionEng Teong Cheah
Add C# syntax to your vocabulary by exploring fundamental building blocks: data types. In addition, learn about basic topics, such as naming conventions and data type conversions.
Reference List Citations - APA 6th EditionJanice Orcutt
This document provides information on APA citation rules, including how to format reference list citations for different source types such as periodicals, books, and journal articles. It discusses the elements included in citations, such as author, date, title, and publisher. Ordering principles for reference lists are also covered, such as alphabetical ordering and distinguishing works by the same author. Examples are provided to illustrate different citation formats.
PLAGIARISM DETECTION & MANAGEMENT USING TURNITINDr.Kamran Ishfaq
This document discusses plagiarism detection and management using Turnitin. It explains that Turnitin is a plagiarism detection tool that compares submitted papers against its database to generate originality reports showing text matches. The document outlines how to use Turnitin, including creating classes and assignments, uploading papers, and viewing originality reports. Benefits of Turnitin include deterring plagiarism, saving time in investigations, and providing documentation.
ACIS 2015 Bibliographical-based Facets for Expertise SearchGan Keng Hoon
This document discusses expertise search and proposes a bibliographical-based faceted search framework. It describes the problem with current faceted search approaches that use general predefined facets rather than facets extracted from bibliographical texts. The proposed framework first extracts facet values from texts using natural language processing techniques. It then generates facet-value pairs to refine search results. The framework was evaluated on a dataset of bibliographical records using precision and recall measured against human experts. The framework aims to improve discovery of expertise by allowing refinement of search results based on extracted facets from bibliographical texts.
This document summarizes data types in C#, including value types (such as int, float, enumerations, and structs), reference types (such as objects, strings, classes, arrays, and delegates), and how everything inherits from System.Object. It explains that value types directly contain variable data while reference types contain a reference to the data. The document also outlines the hierarchies for value types and reference types.
explanation on C# value data types and reference data types. It also explains how they are stored in the heap or stack memory.
Feel free to drop your questions and comments below.
Sherlock a deep learning approach to semantic data type detemayank272369
The document describes Sherlock, a deep learning model for detecting the semantic type of data columns. It was trained on over 686,000 columns labeled with one of 78 semantic types, which were characterized using 1,588 features describing textual and statistical properties. Sherlock achieved an F1 score of 0.89 for semantic type detection, outperforming machine learning baselines, rule-based matching approaches, and crowdsourced annotations. The authors open source the data, code, and trained model to support future benchmarking of semantic type detection methods.
CSPro is a very powerful software package which lets one manage survey data. I believe that these training slides will provide a good insight to use CSPro.
NLP Professional Publication and Presentation Links.Aaron 2011-2013Lifeng (Aaron) Han
Aaron has given several professional presentations and published papers from 2011-2013 related to his work in natural language processing. This includes presentations on machine translation evaluation given in Hong Kong in 2013 and France in 2013, as well as a presentation on Chinese named entity recognition given in Poland in 2013. Aaron has also published several papers in peer-reviewed conferences and journals, including papers on machine translation evaluation metrics, Chinese word segmentation, and Chinese named entity recognition. Links are provided to view the slides from Aaron's presentations and download copies of his published papers.
ECTEL2006 Doctoral Consortium presentation about my research in Metrics for Learning Object Metadata. More information: http://ariadne.cti.espol.edu.ec/Learnometrics
This document discusses validation for different types of data when writing test cases and executing tests. It provides information on validating text fields, date fields, and numeric data. For text fields, it describes validating mandatory fields, maximum length, accepted special characters, trimming spaces, and case sensitivity. For date fields, it discusses validating format, comparing to current and other dates. For numeric data, it covers validating mandatory fields, maximum and minimum values, integer/decimal, positive/negative, and format conversion. The document concludes by inviting discussion.
Using twitter to monitor political sentimentAmal Mahmoud
Using Twitter to Monitor Political Sentiment for Arabic Slang
The document discusses using Twitter data to analyze political sentiment in Arabic language tweets, specifically related to the 2012 Egyptian presidential election. It explores using machine learning algorithms like Naive Bayes with n-grams and feature selection to classify tweets as expressing positive or negative sentiment. The results showed that using unigrams and information gain feature selection achieved the highest accuracy for sentiment classification of Arabic tweets.
AntConc is a free corpus analysis software first released in 2002. It was developed using PERL programming language to enable easy porting between Windows and Linux environments. Based on user feedback, new versions added more features to the concordancer tool, including searching via regular expressions, sorting results, and viewing search terms in original files. Future improvements could better handle annotated data like XML.
EMBERS AutoGSR: Automated Coding of Civil Unrest EventsParang Saraf
EMBERS AutoGSR is a novel, web based framework that generates a comprehensive database of validated civil unrest events using minimal human effort. AutoGSR is a deployed system for the past 6 months that is continually processing data 24X7 in an automated fashion. The system extracts civil unrest events of type "who protested where, when and why?" from news articles published in over 7 languages, and collected from 16 countries.
For more information, please visit: http://people.cs.vt.edu/parang/ or contact parang at firstname at cs vt edu
The document discusses accessibility issues and efforts to improve accessibility of online content. It defines accessibility, describes typical accessibility problems people face, and covers support and guidelines from organizations like the W3C. Technologies discussed that can improve accessibility include XML, CSS, SVG, and MathML. Author support and tools for validation and evaluation of accessibility are also mentioned. The document advocates describing content in terms of user needs and preferences to avoid issues around disabilities and legal liability.
Turnitin is presented as an alternative to SafeAssignment for assessing student assignments. It is a plagiarism detection tool that compares student submissions to an extensive online database containing billions of webpages and millions of archived student papers. The document provides information on setting up Turnitin assignments, how students can submit work, and mass uploading past student works. Links are also included for demo videos and guides on using Turnitin within the NIE learning management system.
This document summarizes Blackboard's i-SMS interactive messaging system. It allows instructors to engage students during lessons by posting poll questions or discussion prompts that students can respond to using their mobile devices. The current system allows anonymous student feedback via SMS. Future plans include making it mobile-enabled, allowing instructors to pre-create questions, and integrating with other student response tools like eClicker and Socrative for more interactive lessons. Technical specialists are working to expand the system's capabilities.
The document is a business plan for Villit Solutions, an outsourcing company. It discusses the importance and benefits of business process outsourcing (BPO), including cost reduction, allowing companies to focus on core areas, and access to expertise and technology. It proposes outsourcing areas like performance analysis, human resources, and adapting to changing customer demands. The plan also covers operational plans, risk management, costs, infrastructure requirements, commercial strategy, and a case study.
This document contains attributions for 9 photos used on a Haiku Deck presentation. Each photo is from Flickr and is attributed to the photographer with a link to the original photo on Flickr and noting the Creative Commons license type.
This slide is created by Wan Fareed and Sally Loan. Presenting to Sunway University in the e-Learning Practitioner Session. Sunway University is located near Sunway Lagoon.
The document provides information about Pearson Education India in three sections. It introduces Pearson Education as the largest education publisher worldwide and its focus areas in India. The second section notes the publisher's role in developing high quality Indian authored books and supplements across various subjects like engineering, science, mathematics and more. The third section outlines a subject expert meeting held by Pearson to discuss challenges in teaching, gaps in available resources, new courses and technologies with professors from different parts of India.
This document provides instructions for hosting an online meeting session using Fuze Meeting. It outlines the key steps to start a session now or later, invite attendees, moderate a call, share content, conduct video or audio conferencing, and use annotation and navigation tools. Different user roles and payment options for audio conferencing are also mentioned.
The document discusses the pros and cons of social media and social networking. It provides information on digital footprints, popular social networking activities among students, things to consider when using social media, and how social media can be used for education. The pros include reaching a large audience at low cost, facilitating real-time communication and engagement, and allowing reticent students to express themselves. The cons are that it takes time to create accounts, immediacy can be emotionally driven, and there are privacy and impersonation issues. The conclusion emphasizes balancing innovation with engagement by using the right tools for the intended outcomes.
Attached Files:
News Analysis Sample.docx
News Analysis Sample.docx - Alternative Formats
(18.027 KB)
News Analysis #1_sample.docx
News Analysis #1_sample.docx - Alternative Formats
(17.771 KB)
This assignment fulfills/supports
Module Outcome: You will have discuss how prejudice, stereotypes, and racism help to perpetuate disadvantage for less powerful groups.
Course Outcome: You will identify and describe key social problems and proposed solutions.
Education Competency: You will demonstrate socialization skills that support cultural awareness and a global perspective.
The Assignment
Watch/browse a newscast and write a report containing the following:
Name, date, and time of newscast.
The top five stories of the day
A 3-5 sentence paragraph summarizing a story of interest shown during the newscast.
Share 3-5 sentences of your personal reaction to the story.
Apply
five
key concepts covered in the chapters of the module discussed during the story. Include a definition of each concept and provide a
quote
from the newscast to illustrate the concept. See the course outline for the due date for each analysis.
Resources
Student Submission of Safe Assignment
SafeAssign: Student Guide
Acceptable Length
You analysis should be no more than two pages.
Formatting Requirements
Put your name, course and section number, and assignment title at the top of the document.
Use one-inch margins.
Use a 12-point Times New Roman font.
Use double line spacing in the document.
Grading Criteria
The overall score noted in a SafeAssign originality report is an indicator of the percentage of the submitted paper matching existing sources. This score is a warning indicator only and papers should be reviewed to see if the matches are properly attributed.
Scores below 15 percent: These papers typical include some quotes and few common phrases or blocks of text that match other documents. These papers typically do not require further analysis, as there is no evidence of plagiarism in these papers.
Scores between 15 percent and 40 percent: These papers include extensive quoted or paraphrased material or they may include plagiarism. These papers should be reviewed to determine if the matching content is properly attributed.
Scores over 40 percent: There is a very high probability that text in this paper was copied from other sources. These papers likely include quoted or paraphrased text in excess and should be reviewed for plagiarism.
.
Objective Assess at least four different sources of data that could.docxpoulterbarbara
The document provides instructions for an assignment to critically assess at least four different sources of data that could be used in a digital forensics investigation. Students are asked to compare the challenges of collecting and examining different sources, prioritizing them according to their potential usefulness for network intrusion, malware installation, and insider file deletion. The paper should be 10-12 double-spaced pages and include a minimum of 5 sources formatted according to APA style guidelines. It will be graded based on content, organization, writing style, and use of APA format.
Turnitin is plagiarism detection software that allows educational institutions to submit student assignments and check them against its databases, which include internet sources, published works, and papers previously submitted to Turnitin. The document outlines how students at the University of the Western Cape (UWC) will submit assignments to Turnitin to deter plagiarism. It provides details on how Turnitin checks submissions for potential plagiarism by comparing to its databases and generates originality reports for students and instructors.
How to submit this assignment Your submission should be .docxpooleavelina
How to submit this assignment
Your submission should be written in a single Py file.
Save the Py file using your lastname_firstname.py
Robert_Kahn.py
Clearly label each question and any sub-sections.
Provide maximum possible comments so the code becomes easier to read.
IMPORTANT TO NOTE: DO NOT use functions / commands to solve problems which were not taught in the class.
Question 1 Marks 7
Assume s is a string of numbers. Write a program that prints the longest substring of s in which the numbers occur in ascending order and compute the average of the numbers found. For example, if s = '561984235272145785310', then your program should print
Longest substring in numeric ascending order is: 14578
Average: 5
In the case of ties, print the first substring. For example, if s = '147279', then your program should print
Longest substring in numeric descending order is: 147
Average: 4
Question 2 Mark 10
Write a python program that prompts the user for the names of two text files and compare the contents of the two files to see if they are the same. If they are, the scripts should simply output “Yes”. If they are not, the program should output “No”, followed by the first lines of each file that differ from each other. The input loop should read and compare lines from each file. The loop should break as soon as a pair of different lines is found.
Note: Input file will be given by me
First file name: Master.txt
Second file name: Slave.txt 3 HIT137 Assignment 1, 2019
Question 3 Mark 05
Develop a python program that will determine if a department store customer has exceeded the credit limit on a charge account. For each customer, the following facts are available:
Account number
Balance at the beginning of the month
Total of all items charged by this customer this month
Total of all credits applied to this customer’s account this month
Allowed credit limit
The program should input each of the facts, calculate the new balance (=beginning balance + charges – credits), and determine if the new balance exceeds the customer’s credit limit. For those customers who credit limit is exceeded, the program should display the customer’s account number, credit limit, new balance and the message “Credit limit exceeded”. Here is a sample input/output dialogue:
Enter account number (-1 to end): 100
Enter beginning balance: 5394.78
Enter total charges: 1000.00
Enter total credits: 500.00
Enter credit limit: 5500.00
Account: 100
Credit limit: 5500.00
Balance: 5894.78
Credit Limit Exceeded.
Enter account number (-1 to end): 200
Enter beginning balance: 1000.00
Enter total charges: 123.45
Enter total credits: 321.00
Enter credit limit: 1500.00
Enter account number (-1 to end): -1 4 HIT137 Assignment 1, 2019
Question 4 Mark 8
Write a program that encrypts and decrypts the user input. Note – Your input should be only lowercase characters with no spaces.
Your program should have a secret distance given by ...
Risk Assessment Report Instructions
INFA 610
Background
This is an individual research project. The objective of the research project is to develop an Information Asset Risk Assessment Report for an organization of your choosing, and worth 25% of your total course grade. The report will be due by the end of the 11th week. The analysis should be conducted using only publicly available information (that is, information obtainable on the Internet, company reports, news reports, journal articles, etc.). The risk analysis should consider legitimate, known threats that pertain to the subject organization. Based on the information gathered, presumed vulnerabilities of the company or organization’s computing and networking infrastructure will be identified. Then, based on the identified threats and vulnerabilities, you will describe the risk profile for the subject organization and suggest recommendations to mitigate the risks.
Your report should be 12 pages, double-spaced, exclusive of cover, title page, table of contents, endnotes and bibliography. Your paper must use APA formatting with the exception that tables and figures can be inserted at the appropriate location rather than added at the end. Submit the report in your Assignment Folder prior to the submission deadline.
Project Proposal
Prior to writing your report, you must submit a short (a page and half) Project Proposal, indicating the name and relevant aspect(s) of the organization you intend to use as a subject for your report. The proposal must be accompanied by an annotated bibliography submitted via the assignment folder. Your instructor will provide feedback as to the suitability of your subject and bibliography. Additional details are provided below.
You will submit a project proposal of your Risk Assessment Report by the end of Session 4. The project proposal will account for 10% of your research paper grade (2.5% of your total course grade).
The project proposal should be a page and half (double spaced) description of the organization that you propose to analyze, with a summary of the scope (e.g., entire organization, key business area, major system, etc.) for the risk assessment you are expected to conduct. The proposal should identify the subject organization with a brief explanation of why you chose the subject for this assignment. The proposal should also describe the research methods to be used and anticipated sources of research information sources. Your instructor will use the proposal to provide feedback on the suitability of the proposed subject organization and the scope you propose, as well as the suitability of the proposed research methods and information sources. If you do not provide a proposal, you will be preparing their Risk Assessment Reports "at risk;" i.e., they will run the risk of delivering a report that is not suitable for this course.
An important step in developing your Risk Assessment Report will be the construction of an Annotated Bibliography. Hav ...
Feng, J., Zhou, W., Li, S., & Li, M. (2020). Obstacles open the .docxlmelaine
Feng, J., Zhou, W., Li, S., & Li, M. (2020). Obstacles open the door — negative shocks can motivate individuals to focus on opportunities. Frontiers of Business Research in China, 14(1), 1-17. doi:http://dx.doi.org.libraryresources.columbiasouthern.edu/10.1186/s11782-019-0067-9
Sifa, H. B., & Tshiunza, C. L. (2020). THEORETICAL ANALYSIS OF MANAGING CORPORATE SOCIAL RESPONSIBILITY IN DEVELOPING COUNTRIES. International Journal of Information, Business and Management, 12(2), 185-208. Retrieved from https://search-proquest-com.libraryresources.columbiasouthern.edu/docview/2348381966?accountid=33337
Holm, H., Nee, V., & Opper, S. (2020). Strategic decisions: Behavioral differences between CEOs and others. Experimental Economics, 23(1), 154-180. doi:http://dx.doi.org.libraryresources.columbiasouthern.edu/10.1007/s10683-019-09604-3
Wang, Z., Xu, H., & Liu, Y. (2018). How Does Ethical Leadership Trickle Down? Test of an Integrative Dual-Process Model. Journal of Business Ethics, 153(3), 691–705. https://doi-org.libraryresources.columbiasouthern.edu/10.1007/s10551-016-3361-x
1. Identify the company that you want to research for the three written assignments in the course.
Baylor Scott & White Hospital Nuclear Medicine Department
2. Describe the organizational issue in your chosen company.
The issues with this organization when the Pet Scan Machine go down patients have to wait over three to five days before the machine is up and working. The organization only have one Pet Scan machine in this area, when the machine goes down patient have to travel one to three hours away. And these are elder people that’s traveling, this is what a PET SCAN performs and detect.
Positron emission tomography (PET) is a nuclear medicine imaging technique that exploits the unique decay physics of positron-emitting radionuclides (Sidebar 2.9) and produces a three-dimensional image of radionuclide distribution. For example, the radiopharmaceutical fluorine-18-fluorodeoxyglucose (FDG) is a form of sugar labeled with a radionuclide [fluorine-18] that is imaged using PET. This imaging technique, which is commonly known as FDG-PET, detects differences between cancer and normal cells in the consumption of glucose. Cancer cells, particularly those from aggressive tumors, proliferate more rapidly than normal cells and consume considerably larger amounts of glucose. Not only can tumor sites be pinpointed through the detection of increased FDG consumption, but differences in FDG consumption in tissues can be detected. However, FDG may be taken up by other lesions, such as infectious foci, and not just tumors, so the diagnostic specificity of FDG-PET is limited
3. Explain why the issue hinders organizational efficiencyI nformation technology
There is a need for improvement in this field in developing countries if the benefits of the use of the internet in disease management can be derived from it especially in nuclear medicine practice. Telemedicine communication between ...
This PPT describes the use of SafeAssign as a plagiarism prevention service linked to Blackboard. It will be used as a learning tool for students in Draft mode to teach students about Intellectual Property. Using SafeAssign will deter poor practices of not using proper citations.
library@yonsei.ac.kr
Q. Turnitin account issues
(Forgot password, login issues etc)
Turnitin Korea Support:
koreasales@turnitin.com
Q. How to use Turnitin functions
This training guide!
Or contact the library:
library@yonsei.ac.kr
FC305 Essay’s Guidelines March Start cohort Deadline Mond.docxmglenn3
FC305 Essay’s Guidelines March Start cohort
Deadline: Monday 15th of June 2020 by 09.00am
First Draft Deadline: Monday 11th of May 2020 by 09.00am
1000 words (+/- 10% – i.e. 900-1100)
Read all instructions very carefully
1. Your assignment needs to be submitted via VLE Turnitin App on the date given above. Submit both versions in their respective Turnitin portals.
2. You should observe the word count stated on the assignment brief. A 10% margin is allowed above or below the limit. You will lose marks if this is not followed.
3. Penalties apply for late submissions.
4. If you failed to submit on time due to an Exceptional Extenuating Circumstance (EEC), you should submit an EEC form within three days of the assessment deadline. These are available from Student Service and may, depending on your circumstances, affect your final mark.
Choose ONE of the UN Global Issues from the selection available on your VLE (and as instructed in a separate email) and discuss it critically.
Marking criteria
Total Mark for each criterion
Content and Understanding 30%
· Relevance
· Appropriate detail
· Depth of knowledge (evidence of understanding of the topic)
· Evidence of research
Critical Thinking 20%
· Understanding of the debates relating to the topic
· Evidence of original thought
· Analysis
· Construction of a coherent argument
Structure 20%
· Logical and coherent structure
· Clear introduction and conclusion
· Overall presentation
Citation of authority and Bibliography 20%
· Accurate referencing
· Variety of sources (at least 5 academic references)
· In text References
Overall style 10%
· Overall style ranging from impressive to confusing, inaccurate, or poor
Academic Referencing
A good place to start is with academic sources, also called scholarly sources. These sources can include books, academic journal articles, and published expert reports. Whatever the exact form, academic sources all have in common the fact that they are peer-reviewed. Peer reviewed sources are written by an expert in the field and have passed review by other experts who judged the source for quality and accuracy. If a source is peer-reviewed, you know it is a good choice for high-quality, accurate information about your topic.
Not all sources show whether they are scholarly relevant or peer-reviewed, but there are some clues you should check.
· Look at the author's credentials. They should have an advanced degree and/or an affiliation with a scholarly organization like a university or a science foundation.
· Look as well for a list of references or a bibliography. Most high-quality research is based on other research, so a good source will have a list of works the author studied as he or she was writing it. Check this list to make sure.
· Finally, you can tell a lot about a source by looking at the publisher who publishes it. Scholarly sources should be published by a professional association like the American Medical Association; by.
Research Paper Using Word This assignment has two goals.docxdaynamckernon
Research Paper Using Word
This assignment has two goals: 1) have students increase their understanding of
ethical issues related to the use of information technology through research, and 2)
learn to correctly use the tools and techniques within Word to format a research paper,
including use of available References and citation tools. These skills will be valuable
throughout a student’s academic career. The paper will require a title page, NO
abstract, three to five full pages of content with incorporation of a minimum of 3 external
resources from credible sources and a Works Cited/References page. Wikipedia and
similar general information sites, blogs or discussion groups are not considered
creditable sources for a research project. No more than 10% of the paper may be in the
form of a direct citation from an external source.
A list of topics from which students can choose is provided below.
Topics for Research Paper
The focus of the paper should be on the following:
1. how information technology supports or makes possible biometrics and its
various implementations, and potential ethical and privacy issues related to the
use of biometrics.
2. how information technology supports or makes possible the development of
artificial intelligence (AI) and intelligent agents (such as Siri, Cortana, etc.) and
potential ethical and privacy issues related to AI.
3. how information technology supports or makes possible the development of
robots as intelligent as humans, smart machines and the IoT, What potential
benefits and risks can/will robots introduce?
4. how information technology supports or makes possible genome-based
treatments for curing diseases, and potential ethical and privacy issues that
might result from use of such treatments.
5. how information technology impacts family, eldercare, and parenting issues, and
potential ethical and privacy issues introduced by the use of information
technology and information systems in this area
6. how information technology has enhanced the use of computer-assisted
education in the elementary school classroom, and the possible positive and
negative impacts this enhancement provides.
7. issues facing the IT Manager or Security professional (e.g., privacy, ownership,
control, accuracy, and security) in an environment where information technology
is constantly expanding and changing.
8. how information technology plays a role in the era of Edward Snowden, Chelsea
Manning, WikiLeaks, et and the impact on defense information systems
9. how information technology plays a role in the rise (and fall) of cryptocurrency
and the positive and negatives of switching to the bitcoin environment.
If there is another topic that addresses ethical issues as related to information
technology that is of special interest to you but one that is not in the list above, request
permission from your instructor before selecting this alternate top ...
This document provides an overview of e-learning initiatives at the National Institute of Education in Singapore. It discusses the mission and activities of NIE and its Centre for e-Learning (CeL) in supporting online and blended learning. CeL aims to enhance teaching and learning quality through instructional design, educational technology resources and training. It outlines CeL's strategies such as showcasing technology strategies, training sessions, and community building to equip staff with necessary technical skills and cultivate sharing of resources. The document also discusses CeL's approaches to build capacity, such as keeping up with trends, allocating training funds, and encouraging innovation.
The document discusses NIE's upcoming migration from its current Blackboard system to Blackboard Learn 9.1. Key points include:
- Migration will take place in July/August 2012 over 2-3 days of downtime.
- The current system is outdated and cannot support new features, while the new system will be more user-friendly and mobile-friendly.
- Training for staff will be provided in March-May 2012 ahead of the new system going live after migration is complete in July/August.
- The new system aims to foster more student engagement and collaboration through new social and open learning tools.
This document contains information about several concurrent sessions presented at e-Fiesta 2012. Session 1 included presentations on the MobileGeo app by Dr. Kalyani Chatterjea, the Dollar Dash financial literacy game by Dr. Koh Noi Keng, flipping the classroom through mVideo by Dr. Csilla Weninger, the Well Said pronunciation app by Dr. Mary Ellis and Ms. Chan Hsiao-yun, and the top 10 things educators can implement now for mobile learning by the Singapore Google Educators' Group.
This document provides instructions for using collaboration tools in Blackboard such as discussion boards, blogs, wikis, and groups. It outlines the steps to set up each tool, including how to create entries or links for things like blog posts, journal entries, wiki pages, and group spaces. The goal is to help instructors streamline collaboration by linking these tools directly in course content areas.
This document provides a simple guide for using some key features in Blackboard Learn such as creating discussion forums, announcements, and sending emails to students. It outlines the basic steps to add an interactive tool like a discussion board, wiki, or blog; create a discussion forum and modify its options; add an announcement and link to course materials; and send emails to students from within the course. The guide is intended to help instructors interact with and communicate with their students using Blackboard Learn's core collaborative and communication tools.
This document provides a simple guide for adding various types of content and modules to a Blackboard course site. It outlines how to upload files and folders, add audio, images, videos, YouTube videos, Flickr images, and SlideShare presentations. It also describes how to create learning modules, module packages, and embed modules within a course site.
The document provides a simple guide to adding essential features and content in Blackboard Learn, including instructions for navigating the course menu, adding modules, building content like assessments and interactive tools, organizing folders, uploading different file types like audio and video, and embedding content from other platforms. The guide was created by an educational technologist at a national education institute.
Access blackboard mobile learn via mobile devicesSally Loan
Blackboard Mobile Learn allows students and teachers to access course content on mobile devices. It is available as an app for iPhone, iPad, Android devices, and BlackBerry. The presentation demonstrates how to download the app, locate courses using the National Institute of Education, log in using portal credentials, and access announcements, discussions, documents, and other course features. Contact information is provided for technical support issues.
Courses are created in the Course Management Tool (CMT) one month before terms start, with student enrollment available one week before. The Student Information System (SIS) consists of several subsystems that are synced with CMT daily to update student and staff data. Course owners can assign co-instructors and part-time tutors in CMT, with assignments taking a minimum of 4 hours to reflect in the system.
How Barcodes Can Be Leveraged Within Odoo 17Celine George
In this presentation, we will explore how barcodes can be leveraged within Odoo 17 to streamline our manufacturing processes. We will cover the configuration steps, how to utilize barcodes in different manufacturing scenarios, and the overall benefits of implementing this technology.
How to Download & Install Module From the Odoo App Store in Odoo 17Celine George
Custom modules offer the flexibility to extend Odoo's capabilities, address unique requirements, and optimize workflows to align seamlessly with your organization's processes. By leveraging custom modules, businesses can unlock greater efficiency, productivity, and innovation, empowering them to stay competitive in today's dynamic market landscape. In this tutorial, we'll guide you step by step on how to easily download and install modules from the Odoo App Store.
This presentation was provided by Rebecca Benner, Ph.D., of the American Society of Anesthesiologists, for the second session of NISO's 2024 Training Series "DEIA in the Scholarly Landscape." Session Two: 'Expanding Pathways to Publishing Careers,' was held June 13, 2024.
How to Manage Reception Report in Odoo 17Celine George
A business may deal with both sales and purchases occasionally. They buy things from vendors and then sell them to their customers. Such dealings can be confusing at times. Because multiple clients may inquire about the same product at the same time, after purchasing those products, customers must be assigned to them. Odoo has a tool called Reception Report that can be used to complete this assignment. By enabling this, a reception report comes automatically after confirming a receipt, from which we can assign products to orders.
Leveraging Generative AI to Drive Nonprofit InnovationTechSoup
In this webinar, participants learned how to utilize Generative AI to streamline operations and elevate member engagement. Amazon Web Service experts provided a customer specific use cases and dived into low/no-code tools that are quick and easy to deploy through Amazon Web Service (AWS.)
THE SACRIFICE HOW PRO-PALESTINE PROTESTS STUDENTS ARE SACRIFICING TO CHANGE T...indexPub
The recent surge in pro-Palestine student activism has prompted significant responses from universities, ranging from negotiations and divestment commitments to increased transparency about investments in companies supporting the war on Gaza. This activism has led to the cessation of student encampments but also highlighted the substantial sacrifices made by students, including academic disruptions and personal risks. The primary drivers of these protests are poor university administration, lack of transparency, and inadequate communication between officials and students. This study examines the profound emotional, psychological, and professional impacts on students engaged in pro-Palestine protests, focusing on Generation Z's (Gen-Z) activism dynamics. This paper explores the significant sacrifices made by these students and even the professors supporting the pro-Palestine movement, with a focus on recent global movements. Through an in-depth analysis of printed and electronic media, the study examines the impacts of these sacrifices on the academic and personal lives of those involved. The paper highlights examples from various universities, demonstrating student activism's long-term and short-term effects, including disciplinary actions, social backlash, and career implications. The researchers also explore the broader implications of student sacrifices. The findings reveal that these sacrifices are driven by a profound commitment to justice and human rights, and are influenced by the increasing availability of information, peer interactions, and personal convictions. The study also discusses the broader implications of this activism, comparing it to historical precedents and assessing its potential to influence policy and public opinion. The emotional and psychological toll on student activists is significant, but their sense of purpose and community support mitigates some of these challenges. However, the researchers call for acknowledging the broader Impact of these sacrifices on the future global movement of FreePalestine.
Elevate Your Nonprofit's Online Presence_ A Guide to Effective SEO Strategies...TechSoup
Whether you're new to SEO or looking to refine your existing strategies, this webinar will provide you with actionable insights and practical tips to elevate your nonprofit's online presence.
Andreas Schleicher presents PISA 2022 Volume III - Creative Thinking - 18 Jun...EduSkills OECD
Andreas Schleicher, Director of Education and Skills at the OECD presents at the launch of PISA 2022 Volume III - Creative Minds, Creative Schools on 18 June 2024.
This presentation was provided by Racquel Jemison, Ph.D., Christina MacLaughlin, Ph.D., and Paulomi Majumder. Ph.D., all of the American Chemical Society, for the second session of NISO's 2024 Training Series "DEIA in the Scholarly Landscape." Session Two: 'Expanding Pathways to Publishing Careers,' was held June 13, 2024.