Below is the rubric the topic is diabetes in Indian culture. All the.docx

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The document provides a rubric for a health promotion project on diabetes in Indian culture. It outlines the criteria and point values for key sections of the paper, including an introduction/conclusion, relating the topic to the target population, summarizing relevant articles, discussing health promotion approaches, and formatting/organization. Sections will be evaluated on inclusion of required details, with highest performance sections including no fewer than 4 of the requirements and lowest including 1 or fewer. The project aims to educate the target population about diabetes and promote lifestyle changes.

Education

Below is the rubric the topic is diabetes in Indian culture. All
the details are in file below
NR222 RUA: Health Promotion Project (New MAY20)
NR222 RUA: Health Promotion Project (New
MAY20)CriteriaRatingsPtsThis criterion is linked to a Learning
OutcomeIntroduction and ConclusionRequired criteria
1. Introduction establishes the purpose of the paper and
describes why topic is important to health promotion in the
target population in your area.
2. Introduction stimulates the reader’s interest.
3. Conclusion includes the main ideas from the body of the
paper.
4. Conclusion includes the major support points from the body
of the paper.
15.0 ptsHighest Performance
Includes no fewer than 4 requirements for section.
13.0 ptsHigh Performance
Includes no fewer than 3 requirements for section.
12.0 ptsSatisfactory
Includes no fewer than 2 requirements for section.
8.0 ptsUnsatisfactory
Includes 1 or fewer requirements for section.
0.0 ptsSection not Present
No requirements for this section presented.15.0 pts
This criterion is linked to a Learning OutcomeRelate Topic to
Target PopulationRequired criteria
1. Describes the topic and target cultural population.
2. Includes statistics to support significance of the topic.
3. Explains how the project relates to the selected Healthy
People 2020 topic area.
4. Applies health promotion concepts.
25.0 ptsHighest Performance
Includes no fewer than 4 requirements for section.
20.0 ptsHigh Performance
Includes no fewer than 3 requirements for section.

15.0 ptsSatisfactory
Includes no fewer than 2 requirements for section.
10.0 ptsUnsatisfactory
Includes 1 or fewer requirements for section.
0.0 ptsSection not Present
No requirements for this section presented.25.0 pts
This criterion is linked to a Learning OutcomeSummary of
ArticlesRequired criteria
1. A minimum of three (3) scholarly articles, from the last 5
years, are used as sources.
2. Articles meet criteria of being from scholarly journals and
include health promotion and wellness content.
3. At least one article is related to the chosen cultural group.
4. Summaries all key points and findings from the articles.
5. Includes statistics to support significance of the topic.
6. Discusses how information from the articles is used in the
Health Promotion Project, including specific examples.
25.0 ptsHighest Performance
Includes no fewer than 4 requirements for section.
23.0 ptsHigh Performance
Includes no fewer than 3 requirements for section.
21.0 ptsSatisfactory
Includes no fewer than 2 requirements for section.
10.0 ptsUnsatisfactory
Includes 1 or fewer requirements for section.
0.0 ptsSection not Present
No requirements for this section presented.25.0 pts
This criterion is linked to a Learning OutcomeHealth Promotion
DiscussionRequired criteria
1. Describes approaches to educate the target population about
the topic.
2. The approaches are appropriate for the cultural target
population.
3. Identifies specific ways to promote lifestyle changes within
the target population.
4. Applies health promotion strategies.

25.0 ptsHighest Performance
Includes no fewer than 4 requirements for section.
23.0 ptsHigh Performance
Includes no fewer than 3 requirements for section.
21.0 ptsSatisfactory
Includes no fewer than 2 requirements for section.
10.0 ptsUnsatisfactory
Includes 1 or fewer requirements for section.
0.0 ptsSection not Present
No requirements for this section presented.25.0 pts
This criterion is linked to a Learning OutcomeAPA Style and
OrganizationRequired criteria
1. TurnItIn is used prior to submitting paper for grading.
2. Revisions are made based on TurnItIn originality report.
3. References are submitted with assignment.
4. Uses current APA format and is free of errors.
5. Grammar and mechanics are free of errors.
6. Paper is 3-4 pages, excluding title and reference pages.
7. Information is organized around required components and
flows in a logical sequence.
10.0 ptsHighest Performance
Includes no fewer than 7 requirements for section.
9.0 ptsHigh Performance
Includes no fewer than 6 requirements for section.
8.0 ptsSatisfactory
Includes no fewer than 5 requirements for section.
4.0 ptsUnsatisfactory
Includes 1 -4 requirements for section.
0.0 ptsSection not Present
No requirements for this section presented.10.0 pts
Total Points: 100.0

Below is the rubric the topic is diabetes in Indian culture. All the.docx

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BIG DATA Prepared By Muhammad Abrar Uddin Introduction · Big Data may well be the Next Big Thing in the IT world. · Big data burst upon the scene in the first decade of the 21st century. · The first organizations to embrace it were online and startup firms. Firms like Google, eBay, LinkedIn, and Facebook were built around big data from the beginning. · Like many new information technologies, big data can bring about dramatic cost reductions, substantial improvements in the time required to perform a computing task, or new product and service offerings. What is BIG DATA? · ‘Big Data’ is similar to ‘small data’, but bigger in size · but having data bigger it requires different approaches: – Techniques, tools and architecture · an aim to solve new problems or old problems in a better way · Big Data generates value from the storage and processing of very large quantities of digital information that cannot be analyzed with traditional computing techniques. What is BIG DATA · Walmart handles more than 1 million customer transactions every hour. · Facebook handles 40 billion photos from its user base. · Decoding the human genome originally took 10years to process; now it can be achieved in one week. Three Characteristics of Big Data V3s ( Volume Data quantity ) ( Velocity Data Speed ) ( Variety Data Types ) 1st Character of Big Data Volume · A typical PC might have had 10 gigabytes of storage in 2000. · Today, Facebook ingests 500 terabytes of new data every day. · Boeing 737 will generate 240 terabytes of flight data during a single flight across the US. · The smart phones, the data they create and consume; sensors embedded into everyday objects will soon result in billions of new, constantly-updated data feeds containing environmental, location, and other information, including video. 2nd Character of Big Data Velocity · Clickstreams and ad impressions capture user behavior at millions of events per second · high-frequency stock trading algorithms reflect market changes within microseconds · machine to machine processes exchange data between billions of devices · infrastructure and sensors generate massive log data in real- time · on-line gaming systems support millions of concurrent users, each producing multiple inputs per second. 3rd Character of Big Data Variety · Big Data isn't just numbers, dates, and strings. Big Data is also geospatial data, 3D data, audio and video, and unstructured text, including log files and social media. · Traditional database systems were designed to address smaller volumes of structured data, fewer updates or a predictable, consistent data structure. · Big Data analysis includes different types of data Storing Big Data · Analyzing your data characteristics · Selecting data sources for analysis · Eliminating redundant data · Establishing the role of NoSQL · Overview of Big Data stores · Data models: key value, graph, document, column-family · Hadoop Distributed File System · H.

BIGDATAPrepared ByMuhammad Abrar UddinIntrodu.docx

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Big Five Personality Short Form This is an example of an individual self-assessment of personal styles. The sample questions below allow you to indicate your personal style on each of five global trait dimensions. There is no “right” or “wrong” or “good” or “bad” side to these dimensions; rather they help you identify your stylistic disposition and potential strengths. This is similar to finding out if you are left- or right-handed. Below each global trait is an example of personal style and three related questions with some on each of the poles. Openness Openness is the level of a person’s receptiveness to novel ideas, change, innovation, and new learning. On the continuum, this can be seen as preference for change on one end of the spectrum and preference for stability on the other. Preference for Change You value new learning, change, and innovation and find motivation in novelty, variety, and possibilities for improvement. New tasks and new learning are stimulating and attractive to you. Answer each of the questions listed below by marking the selection that best describes your present agreement or disagreement with each statement. Preference for Stability You value familiarity, predictability, and precedent, and find comfort in stability, routine, and tradition. New tasks and new learning may be uninteresting or demanding for you. 1. The idea of lifelong learning appeals to me. Strongly Agree x Agree Neutral Disagree Strongly Disagree 2. I find it fun to learn and develop new hobbies Strongly Agree Agree x Neutral Disagree Strongly Disagree Strongly Disagree Disagree x Neutral Agree Strongly Agree 3. I have difficulty understanding abstract ideas. Conscientiousness Conscientiousness is the factor related to one’s reliability, dependability, trustworthiness, and the inclination to follow norms and rules. Structured Orderly, organized, and predictable, you strive to work according to plan and obey the rules, and you expect others to do the same. Comfortable with established procedures and policies, you appreciate reliability and conscientiousness in those around you. Answer each of the questions listed below by marking the selection that best describes your present agreement or disagreement with each statement. Flexible Spontaneous, flexible, and adaptable, you strive to get results, by unconventional means if necessary, and feel restricted by rules and regulations. Comfortable with ambiguity, you appreciate originality and nonconformity in those around you. 1. I am very dependable and reliable in everything I do Strongly Agree x Agree Neutral Disagree Strongly Disagree 2. I like to keep everything I own in its proper place. Strongly Agree Agree x Neutral Disagree Strongly Disagree Strongly Disagree x Disagree Neutral Agree Strongly Agree 3. It is hard for me to keep my bedroom neat and clean. Extroversion Extroversion is a tendency to be outgoing, social, expressive, an.

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BIG IOT AND SOCIAL NETWORKING DATA FOR SMART CITIES: Algorithmic improvements on Big Data Analysis in the context of RADICAL city applications Evangelos Psomakelis12,Fotis Aisopos1, Antonios Litke1, Konstantinos Tserpes21, Magdalini Kardara1 and Pablo Martínez Campo3 1Distributed Knowledge and Media Systems Group, National Technical University of Athens, Zografou Campus, Athens, Greece 2Informatics and Telematics Dept, Harokopio University of Athens, Greece 3Communications Engineering department, University of Cantabria, Santander, Spain {fotais, litke, nkardara, tserpes, vpsomak}@mail.ntua.gr,[email protected] Keywords: Internet of Things, Social Networking, Big Data Aggregation and Analysis, Smart City applications, Sentiment Analysis, Machine Learning Abstract: In this paper we present a SOA (Service Oriented Architecture)-based platform, enabling the retrieval and analysis of big datasets stemming from social networking (SN) sites and Internet of Things (IoT) devices, collected by smart city applications and socially-aware data aggregation services. A large set of city applications in the areas of Participating Urbanism, Augmented Reality and Sound-Mapping throughout participating cities is being applied, resulting into produced sets of millions of user-generated events and online SN reports fed into the RADICAL platform. Moreover, we study the application of data analytics such as sentiment analysis to the combined IoT and SN data saved into an SQL database, further investigating algorithmic and configurations to minimize delays in dataset processing and results retrieval. 1 INTRODUCTION Modern cities are increasingly turning towards ICT technology for confronting pressures associated with demographic changes, urbanization, climate change (Romero Lankao, 2008) and globalization. Therefore, most cities have undertaken significant investments during the last decade in ICT infrastructure including computers, broadband connectivity and recently sensing infrastructures. These infrastructures have empowered a number of innovative services in areas such as participatory sensing, urban logistics and ambient assisted living. Such services have been extensively deployed in several cities, thereby demonstrating the potential benefits of ICT infrastructures for businesses and the citizens themselves. During the last few years we have also witnessed an explosion of sensor deployments and social networking services, along with the emergence of social networking (Conti et al., 2011) and internet‐of‐things technologies (Perera et al., 2013; Sundmaeker et al., 2010) Social and sensor networks can be combined in order to offer a variety of added‐value services for smart cities, as has already been demonstrated by various early internet‐ of‐things applications (such as WikiCity(Calabrese et al., 2007), CitySense(Murty et al., 2007), GoogleLatitude(Page and Kobsa, 2010)), as.

BIG IOT AND SOCIAL NETWORKING DATA FOR SMART CITIES Alg.docx

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Big Data Risks and Rewards (good length and at least 3-4 references everything in APA 7 format) When you wake in the morning, you may reach for your cell phone to reply to a few text or email messages that you missed overnight. On your drive to work, you may stop to refuel your car. Upon your arrival, you might swipe a key card at the door to gain entrance to the facility. And before finally reaching your workstation, you may stop by the cafeteria to purchase a coffee. From the moment you wake, you are in fact a data-generation machine. Each use of your phone, every transaction you make using a debit or credit card, even your entrance to your place of work, creates data. It begs the question: How much data do you generate each day? Many studies have been conducted on this, and the numbers are staggering: Estimates suggest that nearly 1 million bytes of data are generated every second for every person on earth. As the volume of data increases, information professionals have looked for ways to use big data—large, complex sets of data that require specialized approaches to use effectively. Big data has the potential for significant rewards—and significant risks—to healthcare. In this Discussion, you will consider these risks and rewards. To Prepare: Review the Resources and reflect on the web article Big Data Means Big Potential, Challenges for Nurse Execs . Reflect on your own experience with complex health information access and management and consider potential challenges and risks you may have experienced or observed. By Day 3 of Week 5 Post a description of at least one potential benefit of using big data as part of a clinical system and explain why. Then, describe at least one potential challenge or risk of using big data as part of a clinical system and explain why. Propose at least one strategy you have experienced, observed, or researched that may effectively mitigate the challenges or risks of using big data you described. Be specific and provide examples. By Day 6 of Week 5 Respond to at least two of your colleagues * on two different days , by offering one or more additional mitigation strategies or further insight into your colleagues’ assessment of big data opportunities and risks. Click on the Reply button below to reveal the textbox for entering your message. Then click on the Submit button to post your message. *Note: Throughout this program, your fellow students are referred to as colleagues. Michea Discussion ( in APA 7 format and at least 2-3 references) With the fast growing pace of technological advancement in the health care sector, daily operations of the institution helps generate millions of data that over time needs proper channels of transmission, storage, processing, assimilation and utilization. Following from the vast amount of data generated, some of its benefits includes but is not limited to functioning as a pattern discovery aid with relation to the amount of variance or similarity in .

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1. Below is the rubric the topic is diabetes in Indian culture. All the details are in file below NR222 RUA: Health Promotion Project (New MAY20) NR222 RUA: Health Promotion Project (New MAY20)CriteriaRatingsPtsThis criterion is linked to a Learning OutcomeIntroduction and ConclusionRequired criteria 1. Introduction establishes the purpose of the paper and describes why topic is important to health promotion in the target population in your area. 2. Introduction stimulates the reader’s interest. 3. Conclusion includes the main ideas from the body of the paper. 4. Conclusion includes the major support points from the body of the paper. 15.0 ptsHighest Performance Includes no fewer than 4 requirements for section. 13.0 ptsHigh Performance Includes no fewer than 3 requirements for section. 12.0 ptsSatisfactory Includes no fewer than 2 requirements for section. 8.0 ptsUnsatisfactory Includes 1 or fewer requirements for section. 0.0 ptsSection not Present No requirements for this section presented.15.0 pts This criterion is linked to a Learning OutcomeRelate Topic to Target PopulationRequired criteria 1. Describes the topic and target cultural population. 2. Includes statistics to support significance of the topic. 3. Explains how the project relates to the selected Healthy People 2020 topic area. 4. Applies health promotion concepts. 25.0 ptsHighest Performance Includes no fewer than 4 requirements for section. 20.0 ptsHigh Performance Includes no fewer than 3 requirements for section.

2. 15.0 ptsSatisfactory Includes no fewer than 2 requirements for section. 10.0 ptsUnsatisfactory Includes 1 or fewer requirements for section. 0.0 ptsSection not Present No requirements for this section presented.25.0 pts This criterion is linked to a Learning OutcomeSummary of ArticlesRequired criteria 1. A minimum of three (3) scholarly articles, from the last 5 years, are used as sources. 2. Articles meet criteria of being from scholarly journals and include health promotion and wellness content. 3. At least one article is related to the chosen cultural group. 4. Summaries all key points and findings from the articles. 5. Includes statistics to support significance of the topic. 6. Discusses how information from the articles is used in the Health Promotion Project, including specific examples. 25.0 ptsHighest Performance Includes no fewer than 4 requirements for section. 23.0 ptsHigh Performance Includes no fewer than 3 requirements for section. 21.0 ptsSatisfactory Includes no fewer than 2 requirements for section. 10.0 ptsUnsatisfactory Includes 1 or fewer requirements for section. 0.0 ptsSection not Present No requirements for this section presented.25.0 pts This criterion is linked to a Learning OutcomeHealth Promotion DiscussionRequired criteria 1. Describes approaches to educate the target population about the topic. 2. The approaches are appropriate for the cultural target population. 3. Identifies specific ways to promote lifestyle changes within the target population. 4. Applies health promotion strategies.

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