1. RE Background Describe US government policy development i.docx

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1. RE Background: Describe US government policy development in health care from the 1930s to the present. 2. RE Hospitals: Describe the 3 types of hospital ownership – eg, not-for-profit, for-profit & governmental. 3. RE Ambulatory Care: Explain the differences between solo and group practices AND discuss the benefits of group practices. Ground Rules – Answer questions using a narrative report format - that is, use complete sentences and back up what you say. Use an 11-point font and 1-inch margins, and double space. Plan approximately 1 page per question. . ...

1.
RE Background:
Describe US government policy development in health care
from the 1930s to the present.
2.
RE Hospitals:
Describe the 3 types of hospital ownership – eg, not-for-profit,
for-profit & governmental.
3.
RE Ambulatory Care:
Explain the differences between solo and group practices
AND
discuss the benefits of group practices.
Ground Rules –
Answer questions using a narrative report format - that is, use
complete sentences and back up what you say. Use an 11-point
font and 1-inch margins, and double space. Plan approximately
1 page per question.
.

1. RE Background Describe US government policy development i.docx

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BIO 299 Pathology/Microbial-Environmental Interactions Paper You will pick a microorganism for your paper on pathology or microbe-environment interactions. The organism cannot be one of the ones your instructor goes over during lecture listed in the syllabus. Select a pathogen/microbe from current events that is an emerging or reemerging concern to you or people in your area. Provide local epidemiological data/statistics for the organism. Note this cannot be covid-19, Ebola, flu, clostridium botulinum, Hepatitis C, Anthrax, MRSA. These has been discussed already. Choose something in Africa or the US. Your paper must include: Introduction to the organism (structure, cell type, morphology, metabolic requirements, natural reservoir, history, etc.) Introduction to the disease(s) caused by the organism (epidemiology, signs, symptoms, etc.) OR introduction to the environmental impact of the organism List and describe factors employed by the organism to assist in its growth, reproduction, culture conditions, host/pathogen interactions and/or virulence. (e.g., nitrogen fixation, symbiotic interactions etc.) Categorize virulence factors by mechanisms of action (Immunity Avoidance, Tissue/Cell Lysis, Colonization/Spread) Discussion of treatment/prevention options for the disease(s) caused by the organism (Antibiotics or other chemotherapeutics given as part of treatment and their mechanisms of action, Vaccines available and type) The paper should be a minimum of 5 pages of relevant and informative material that covers all of the content and requirements listed below and in the rubric. The 5 pages does not include the title and reference pages. The paper should thoroughly inform the reader. APA format. This includes citations and references. Title page must have a title, student name, instructor name, course title, and date. No direct quotes; put information into your own words or paraphrase. Minimum of three (3) primary and at least two (2) secondary scholarly sources, plus any other references used. You also must include in-text citations. 1-inch margins Double-spaced 12 point, Times New Roman After uploading to Turnitin, your paper will be scored for similarity. Anything above 18% similarity should be worked on further and uploaded again before the due date. Over 18 % similarity and/or no references will result in an automatic zero on the paper. .

BIO 299 PathologyMicrobial-Environmental Interactions Paper.docx

BIO 299 PathologyMicrobial-Environmental Interactions Paper.docx

BIO 299 PathologyMicrobial-Environmental Interactions Paper.docx

Bio 211 A. Student The allelopathic effects of the Pinus Rigada on Raphanus Sativus A. Student October 22, 2015 Georgia Military College Introduction In a garden, Raphanus sativus were planted near other vegetables that were considered “companion plants”, but the R. sativus plantwas not exhibiting any real growth. Overhead Eastern pitch pine trees (Pinus Rigida) were growing and knowing that pine trees typically exhibit allelopathic tendencies, determining whether P. rigida was to blame or whether there was another contributing factor was important in getting to the root of the problem. To discover if the P. rigida were possibly inhibiting the growth, a study was done to determine if there was any connection between the stunted growth of the R. sativusand the P.rigida. The primary goal of this study was to gather and analyze data on the effects of the P. rigida on the growth of R. sativus. This was done to determine whether P. rigida exhibited allelopathic traits towards the seeds of R. sativus. The R. sativus is a cultigen, meaning it has been altered by humans and is the result of artificial selection. They belong to the Brassicaceae family, which includes turnips (Brassica rapa), cabbage and relatives (Brassica oleracea) and horseradish (Armoracia rusticana). The name Raphanus refers to the radishes ability to rapidly germinate and is derived from the greek language: ra, meaning quickly and phainomai, meaning to appear. (Plants & Fungi) Allelopathy is the secretion of chemical substances by plants that inhibit the growth of a competing species. (Allelopathy) A study was done on Pinus halepinsus and the possible allelopathic effects of its needles. In growth chambers, plastic pots consisting of 6(g), 8(g), and 12(g) of pine needle tissue and screened perlite were used to perform this study. Three different physiological stages of pine needles were collected from the P. halepinsus; fresh, senesced, and decaying. The pots containing the pine needle tissue were then seeded with tall fescue, Bermuda grass, or oat at 20, 20, and 3 seeds per pot. The needles tissue of the P. halepinsus in the perlite substrate reduced growth and development of the tall fescue and Bermuda grass. This suggests that toxic chemicals were excreted through the pine needle tissue. Growth inhibition was dependent on the type of pine and the amount incorporated into the pot. From the results, it was concluded that inhibitory compounds were within the pine needle tissue and were more apparent in fresh needles than senesced and decaying needles. (Nektarios, 2005) The Eastern P. rigidia is from the same family of trees as P. halepinsus called Pinaceae. Being from the same family, it is possible that they exhibit the same allelopathic traits. The inhibited growth of the R. sativus may be caused from possible allelopathic effects of the pine needles from the P. rigidia. If radish (R. sativus) seeds are exposed to extracts from the pitch pine tree (P. rigidi.

Bio 211A. Student The allelopathic effects of the .docx

Bio 211A. Student The allelopathic effects of the .docx

Bio 211A. Student The allelopathic effects of the .docx

Bill of Rights When the Constitution was completed in the summer of 1787, approval by representatives from nine of the thirteen states was needed for it to become the nation’s law. The issue of individual rights was managed—though this, too, created conflict among the Framers—with the addition of the Bill of Rights. Change was written into the supreme law of the land; since then, legal institutionalization of changes has occurred. Since the Constitution’s adoption, change has taken place through the amendment process identified in the Constitution. Change has also occurred under the direction of the branches of government established in the Constitution: the executive, the legislature, and the judiciary. Research The Bill of Rights is the first ten amendments to the U.S. Constitution. Review the Bill of Rights in your textbook and select one of the first ten amendments to research more thoroughly. Using the Argosy University online library resources, select at least three peer-reviewed articles about the amendment you have selected. Look specifically for articles that focus on current events or controversies related to the amendment and be prepared to summarize the content of each article. Annotated Bibliography Prepare an annotated bibliography of your research. Please read Annotated Bibliography.pdf for an overview on annotated bibiographies. Click here for an example of what an annotated bibliography looks like. Include the following: For each article, write details such as the article title, author name, journal title, and publication date. Write a summary of each article in 200–250 words. Write the conclusions you have drawn from research and your opinion in 1–2 paragraphs. Write a reference list of the selected articles in APA style. Write a 2–3-page annotated bibliography in Word format. Apply APA standards for writing style to your work .

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BIO 10 Can Eating Insects Save the World? Due: Monday, Dec 10, 2018, 11:59pm (10 points) Instructions: · Watch the documentary (59 min): https://youtu.be/Acxbx-DUkL4 · Answer the 6 questions below. Copy and paste the entire section, including questions onto Canvas for submission. Short answer questions: Keep your answers to a few sentences each. #4 can be a little longer. 1) List and discuss the health benefits of eating insects. 2) List and discuss the benefit(s) to the environment. 3) List and discuss the impact(s) on the planet and the human population. 4) Can you think of some disadvantages of eating insects? Do a bit of research to verify your claim either way. Briefly present your evidence in support of your answer. 5) Are spiders insects? Explain. Running head: THE DIFFERENCES BETWEEN DATA AND INFORMATION Alajmi 1 THE DIFFERENCES BETWEEN DATA AND INFORMATION Alajmi 2 The Difference between Data and Information Jassim Alajmi Dr. Qudrat The Difference between Data and Information Introduction Most of the individuals have the belief that the term information and data are interchangeable and have the same meaning. Nevertheless, there exists a unique difference between the two terms. Data can refer to any character, word, text, or number and if it is not placed into context, doesn't mean anything or means very little to humans. Information may be in its context a data which is formatted in such a way allowing it to be used by people in certain vital situations. Understanding the differences between data and information is essential because it helps to eradicate the apparent confusion brought about by the application of the two terms in organizations and other relevant professions. Data Data refers to the grouping of details and facts such as figures, texts, symbols, observations, or merely descriptions of certain things, entities or events collected with the aim of creating inferences. It represents the raw facts which require processing to obtain the information which needed for action to be taken upon a given situation (Silverman, 2018). It is mostly known to entail such things as characters and statements, as well as numbers before undergoing refining by the individual involved in its extraction who in this case is known as the researcher. The word data is derived from the Latin word called datum which means something given. Data is therefore offered and provided by individuals involved in the survey process. Its concept is thus linked to the scientific research which included a collection of data and analysis before interpreting it to come up with the exact information regarding a given situation (Silverman, 2018). It is often gathered by several organizations, institutions, government departments as well as non-governmental agencies and bodies for various distinct reasons. Data exists in two major forms namely primary and secondary data. Primary data is that data which is gathered by researchers from .

BIO 10 Can Eating Insects Save the WorldDue Monday, Dec 10, .docx

BIO 10 Can Eating Insects Save the WorldDue Monday, Dec 10, .docx

BIO 10 Can Eating Insects Save the WorldDue Monday, Dec 10, .docx

billy rich and Michael million are two very wealthy, elderly men. since neither of them have any heirs, they decide to give away all but $1 of their fortune before they die. billy Rich has $1,340,000 and is giving 1/3 of his remaining money away each year. Micheal Million has $980,000 and is giving away 1/4 of his money away each year. who will get down to their final dollar first: Billy or Micheal? how many years will it take each of them to give away their fortune? .

billy rich and Michael million are two very wealthy, elderly men. si.docx

billy rich and Michael million are two very wealthy, elderly men. si.docx

billy rich and Michael million are two very wealthy, elderly men. si.docx

Billau ! 1 Alessandro Billau Dr. Daniel Cicenia CPO-2001 26 February 2019 Term Paper Proposal After carefully examining the syllabus and textbook the country of my choice in which I would enjoy conducting thorough research on is the nation of Turkey. The recent tensions flaring up in Syria, President Donald Trump is withdrawing U.S troops after he threatens to “devastate” Turkey’s economy if they attack Kurdish forces; leaving Turkey to worried the future of their national security. In such a country where religion and political turmoil merge it is close to impossible to predict the future of their actions. These events have sparked my interest in learning more about the political, economic, and social relations in Turkey. Istanbul is the largest city in Turkey which was once ruled by both Christian and Muslim empires. After World War 1, the Ottoman Empire sits defeated which led to the Turkish War of Independence in 1919 — leading to the overthrow and downfall of Sultan Mehmet VI Vahdettin. Next, the Republic of Turkey is founded by Kemal Ataturk, a national hero, later named as the first President of Turkey. On October 29, 1923, a new Turkish constitution replaced the constitution of the Ottoman Empire, forever marking the independence of the nation. In addition, using library databases from the State College of Florida will allow me to find books, magazines, and academic articles regarding the political sanctions enforced in Turkey. One of the things I would hope to learn during research assignment is not only how politics is done in Turkey but its relationships in regards to other countries. Finally, achieving approval for this paper will allow me to learn more about the political structure in Turkey. Billau ! 2 Outline I. Turkey A. How have social, economic, and political sanctions changed over time in Turkey? B. The purpose of this research paper is to learn more about the political, economic, and social relations in Turkey. II. Politics in Turkey A. Democratic parliamentary republic system B. Branches 1. Executive 2. Legislative 3. Judicial III. Political Situation A. Independence of Turkey B. Kemal Ataturk C. Justice and Development Party D. Foreign and domestic policy IV. Economic Situation A. Fiscal policy B. Globalization C. Debt D. Low and middle class V. Political Socialization A. Education B. Mass media C. Democratic future VI. Sources A. Santa Fe College Library databases 1. JSTOR a) Academic journals .

Billau ! 1Alessandro Billau Dr. Daniel Cicenia C.docx

Billau ! 1Alessandro Billau Dr. Daniel Cicenia C.docx

Billau ! 1Alessandro Billau Dr. Daniel Cicenia C.docx

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

BIGDATAPrepared ByMuhammad Abrar UddinIntrodu.docx

BIGDATAPrepared ByMuhammad Abrar UddinIntrodu.docx

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.

Big Five Personality Short FormThis is an example of an indivi.docx

Big Five Personality Short FormThis is an example of an indivi.docx

Big Five Personality Short FormThis is an example of an indivi.docx

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

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

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

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 .

Big Data Risks and Rewards (good length and at least 3-4 references .docx

Big Data Risks and Rewards (good length and at least 3-4 references .docx

Big Data Risks and Rewards (good length and at least 3-4 references .docx

biblioteca ciencias estudiantes examen laboratorio profesora 1. Yo estudio las como la física y la química. 2. Mi de español es la señora Hernández. 3. En mi clase de historia hay veinte . 4. Normalmente tenemos clase de química en el . 5. Guillermo siempre estudia en la . 6. Hoy tengo un muy difícil. • número • casa • cuarto • seis • curso • periodismo • estadio • reloj • biblioteca • pluma • libro • semana • prueba • tiza • examen • mochila • pizarra • tiza • especialización • librería • profesor • borrador • silla • estudiante • hora • reloj • papelera • pluma • puerta • programa • mujer • ventana • • inglés • matemáticas • borrador • sociología • • mesa • física • escritorio • silla • • papel • pluma • puerta • cuaderno • • librería • biblioteca • residencia • mochila • • ventana • curso • clase • materia • Marissa toma (is taking) ____ en la universidad. • español, psicología, economía y música • historia, inglés, sociología y periodismo • español, historia, literatura y geografía • El profesor Morales enseña (teaches) ____. • química • matemáticas • historia • Juan Carlos toma química ____. • los miércoles, jueves y viernes • los lunes, miércoles y viernes • los lunes, martes y jueves • Miguel necesita ir a (needs to go to) ____. • la biblioteca • la residencia estudiantil • la librería 1. Juan Carlos toma y computación porque le gusta . 2. Cuando Marissa está en clase, le gusta estar de la ventana. 3. Cuando Felipe está en clase, le gusta estar el reloj y . 4. Cuando están al teléfono, la mamá de Maru mientras ella . 5. Antes de ir a la biblioteca, Maru y Miguel van a . 6. La librería está de la biblioteca. • Students in Spanish-speaking countries must pay large amounts of money toward their college tuition. • cierto • falso • Carrera refers to any undergraduate or graduate program that students enroll in to obtain a professional degree. • cierto • falso • After studying at a colegio, students receive their bachillerato. • cierto • falso • Undergraduates study at a colegio or an universidad. • cierto • falso • In Latin America and Spain, students usually choose their majors in their second year at the university. • cierto • falso • The polimodal system helps students choose their university major. • cierto • falso • In Mexico, the bachillerato involves specialized study. • cierto • falso • In Spain, majors depend on entrance exam scores. • cierto • falso • Venezuelans complete a licenciatura in five years. • cierto • falso • According to statistics, Colombians constitute the third-largest Latin American group studying at U.S. universities. • cierto • falso • The University of Salamanca was established in the year ____. • 1812 • 1968 • 1218 • A ____ .

bibliotecacienciasestudiantesexamenlaboratorioprofesora.docx

bibliotecacienciasestudiantesexamenlaboratorioprofesora.docx

bibliotecacienciasestudiantesexamenlaboratorioprofesora.docx

Big data in media and digital PlatformsResearch Paper Format.docx

Big data in media and digital PlatformsResearch Paper Format.docx

Big data in media and digital PlatformsResearch Paper Format.docx

Big data can be described as a large and complex set of data that requires specialized approaches to use effectively to uncover hidden insights and help solve problems that may arise in healthcare. Big data in healthcare focuses on the patient’s data to improve their clinical experience, use operational data to maximize workflow, and use financial data to streamline revenue (Agarwal, Gao, DesRoches & Jha, 2010). Nurse executives in the healthcare system need to be diverse thinkers on manipulating vast amounts of data to shape and reshape the system (Gefen & Ragowsky, 2005). Critical analysis and synthesis of the data are done to develop conclusions on how to plan and run the organization. Although the assessment of big data is vital, it bears benefits as well as detriments. The main challenges that big data has on healthcare are increased healthcare data and growing costs. Health records moved from manual to digital, which increased the volume of the data made available. Health care data is not limited to what the healthcare providers present but includes data from the internet-of-things devices such as wearable devices, smartphone applications, and increased social media traffic. This extensive collection of data from these sources means a large data deposit that needs to be analyzed in the healthcare system (Bryant, Katz & Lazowska, 2008). Large amounts of input suggest that processing this data to give meaningful output requires high healthcare investments to allow for such analysis to be made by trained clinical staff. Big data needs to be sorted to develop conclusions on how to run the organization to achieve quality and enhanced information. On the other hand, big data ensures effectiveness and personalized care with complete records of the patients. The data collected from the various health care platforms brings about more detailed information about a patient’s health. Although the information contained might seem bulky, once it has been sorted and organized, it provides a perspective on efficiency in healthcare services and neat patient information storage. Big data makes it possible for clinical systems to provide quality care to patients (Goh, Gao & Agarwal, 2011). Some patient records bring to focus those who have a risk of chronic illnesses. Hospitals need to identify such cases early and develop treatment, ensuring that the patient’s condition is mitigated before getting worse. Challenges experienced in healthcare systems need to be solved for big data to become a valuable healthcare system tool. Getting rid of medication errors is one way to begin. A significant cause of health problems often leading to death is giving wrong medications to patients. Implementing high-end computing tools in the healthcare system is essential to access and process the collected data (Goh et al., 2011). As much as a vast amount of data is available, it is imperative to avoid making errors. The records compiled should be analyzed for proper medi.

Big data can be described as a large and complex set of data tha.docx

Big data can be described as a large and complex set of data tha.docx

Big data can be described as a large and complex set of data tha.docx

BIG DATA AND BIG CITIES: THE PROMISES AND LIMITATIONS OF IMPROVED MEASURES OF URBAN LIFE EDWARD L. GLAESER, SCOTT DUKE KOMINERS, MICHAEL LUCA and NIKHIL NAIK∗ New, “big data” sources allow measurement of city characteristics and outcome variables at higher collection frequencies and more granular geographic scales than ever before. However, big data will not solve large urban social science questions on its own. Big urban data has the most value for the study of cities when it allows measurement of the previously opaque, or when it can be coupled with exogenous shocks to people or place. We describe a number of new urban data sources and illustrate how they can be used to improve the study and function of cities. We first show how Google Street View images can be used to predict income in New York City, suggesting that similar imagery data can be used to map wealth and poverty in previously unmeasured areas of the developing world. We then discuss how survey techniques can be improved to better measure willingness to pay for urban amenities. Finally, we explain how Internet data is being used to improve the quality of city services. (JEL R1, C8, C18) I. INTRODUCTION Historically, most research on urban areas has relied on coarse aggregate statistics and smaller-scale surveys. Over the past decade, ∗The authors would like to acknowledge helpful com- ments from Andy Caplin, William Kominers, Jonathan Smith, and Mitchell Weiss. E.L.G. acknowledges support from the Taubman Center for State and Local Government; S.D.K. acknowledges support from the National Science Foundation (grants CCF-1216095 and SES-1459912), the Harvard Mil- ton Fund, the Ng Fund of the Harvard Center of Mathematical Sciences and Applications, and the Human Capital and Eco- nomic Opportunity Working Group (HCEO) sponsored by the Institute for New Economic Thinking (INET); and N.N. acknowledges support from The MIT Media Lab consortia. Glaeser: Department of Economics, Harvard University, Cambridge, MA 02138; John F. Kennedy School of Gov- ernment, Harvard University, Cambridge, MA 02138; National Bureau of Economic Research, Cambridge, MA 02138. Phone 617-496-2150, Fax 617-495-3817, E-mail [email protected] Kominers: Department of Economics, Harvard University, Cambridge, MA 02138; Center of Mathematical Sciences and Applications, Harvard University, Cambridge, MA 02138; Center for Research on Computation and Soci- ety, Harvard University, Cambridge, MA 02138; Pro- gram for Evolutionary Dynamics, Harvard University, Cambridge, MA 02138; Entrepreneurial Management, Harvard Business School, Boston, MA 02163; Soci- ety of Fellows, Harvard University, Cambridge, MA 02138. Phone 617-495-8407, Fax 617-495-3817, E-mail [email protected] Luca: Negotiation, Organizations & Markets, Harvard Busi- ness School, Boston, MA 02163. Phone 845-549-0372, Fax 617-495-3817, E-mail [email protected] Naik: Media Lab, Massachusetts Institute of Technology, Cambridge, MA 02139. Phone 617-758-9.

BIG DATA AND BIG CITIES THE PROMISES AND LIMITATIONSOF IMPR.docx

BIG DATA AND BIG CITIES THE PROMISES AND LIMITATIONSOF IMPR.docx

BIG DATA AND BIG CITIES THE PROMISES AND LIMITATIONSOF IMPR.docx

Big Data Analytics Tools./.DS_Store __MACOSX/Big Data Analytics Tools./._.DS_Store Big Data Analytics Tools./ Final Exam/PROJECT - BETTER UNDERSTAND ATTRITION.docx FINAL EXAM – EXERCISE – To Better Understand Attrition. This is a final project – you are going to exam the HR-BalanceSheet dataset and write a short report on what you found. I will guide you through the analysis, but as we go through the analysis you are going to need to capture data for the final report. 1. Load the dataset into Statistica 2. Generate Histograms for all of the data a. Make notes on what you observe from the histograms. Can you learn anything about the business from these histograms? b. Capture all of the histograms. 3. Now generate a correlation matrix to see if any variables are highly correlated. If variables are highly correlated and you are doing a supervised method (e.g., decision tree), then one of them must be omitted from the analysis. Do you know why? Statistics->Nonparametrics->Correlations Okay. Now select ALL of the variables and select “Spearman rank R”. 4. Let’s copy this out to Excel. a. Open a blank Excel file b. Go to Statistica – the output correlation matrix – i. Hit Ctrl – A - this will select everything. ii. Right Click - select “Copy with Headers” iii. Go To Excel – select Paste 5. Select all of the numbers in Excel a. Go To Conditional Formatting i. Highlight all values greater than 0.70 6. This tells you the values that are highly correlated. Record what they are – these cannot be used in a supervised modeling exercise together. For example, JobLevel and TotalWorkingYears are highly correlated. a. Make a list of all of the variables that are highly correlated (>0.7). BUSINESS PROBLEM: The company has employee data for the last several years. In this data set we have a wide range of data, including whether or not they left the company (i.e., Attrition). If Attrition is set to “Yes”, they left the company. If Attrition is set to “No”, they did not leave the company. The first thing we want to do is take a “high” level look at those people who left the company. Go to Selection Criteria – that is accessible through the Sel:Off setting at the bottom of the Statistica window. Click on “Sel:Off” Set the selection criteria to Attribute = “Yes”. 7. Generate Histograms for all of the data a. Make notes on what you observe from the histograms. Can you learn anything about the business from these histograms? b. Capture the histograms that tell you something about the business. Go back to the selection criteria and turn the Sel: back to “Off”. 8. Now build a decision tree (C&RT) to see if we can find out what influences where or not individuals decide to leave the company. If you exclude the variables that are highly correlated, you can generate a tree. Generate a C&RT tree Pick your variables (Quick) · Attrition is your dependent variable · Select the categorical and continuous v.

Big Data Analytics Tools..DS_Store__MACOSXBig Data Analyti.docx

Big Data Analytics Tools..DS_Store__MACOSXBig Data Analyti.docx

Big Data Analytics Tools..DS_Store__MACOSXBig Data Analyti.docx

Big Data and Cloud Computing please see the attached file and follow these instructions: Length - 12 pages , including title page, abstract, table of contents and references. Sources Reference : Minimum Six (6) sources are required and it is compliance with APA standards. Spacing Format : Abstract page - single space, the rest of the titles and contents , double spaces. Style - use APA style. .

Big Data and Cloud Computingplease see the attached file and fol.docx

Big Data and Cloud Computingplease see the attached file and fol.docx

Big Data and Cloud Computingplease see the attached file and fol.docx

Big D Market Expansion Research Findings Presented by: Findings on Demography Most people in the targeted market have reached the college level of education The death rate of the population in the targeted market is low while the birth rate is slightly high Most individuals are aged 30 years and above The number of women is higher than that of the men A majority of the people in the targeted market have reached the college level of education. What this implies is that many people qualify for white collar jobs. The significance of securing a white collar job is that it promises a steady income. Research shows that most employees in the formal sector are employed on a permanent basis. The death rate of the population in the targeted market is low while the birth rate is slightly high. This kind of population promises high sales. if the population had more young people, sales would be low since most young people are normally in school and so do not have any source of income. Many people are aged 30 years and above. What this implies is that the population is mainly composed of the adult population which is good. The number of women is higher than that of men. This is good for the company for the reason that women have a high tendency to buy new products when they are presented to them. The main reason for this is that women have a higher curiosity than men. Unlike men, women are more willing to taste new products and services. This is especially if the services or even products satisfy their needs to the fullest. 2 US POPULATION TREND Findings on Occupation Most people in the targeted market are either, teachers, nurses or police officers There are a few accountants and lawyers The teaching profession has the highest rate of increase in terms of population The profession with the lowest rate of increase is that of accountants. Most people in the targeted market are either, teachers, nurses or police officers. The good thing about all these populations is that most individuals are employed on a permanent basis. The importance of being employed on a permanent basis is that it helps it helps ensure a permanent flow of income. There are a few accountants and lawyers. The significant of having this population here is that it helps increase the amount of money in circulation. This is because lawyers and accountants are among the professionals rated as high income earners. What normally happens is that earning a high income translates to a high spending ability. The teaching profession has the highest rate of increase in terms of population. The main reason for this is that the number of schools has been increasing. Given the fact that teachers also earn a high income, this means that the there is a high amount of money put into circulation by this population. The profession with the lowest rat.

Big D Market Expansion Research Findings Presented by.docx

Big D Market Expansion Research Findings Presented by.docx

Big D Market Expansion Research Findings Presented by.docx

Bibitor, LLC Bibitor, LLC is a retail wine and spirit company, with 79 locations within the fictional state of Lincoln. Depending on the year-end, sales can range from 420-450 million dollars and cost of goods sold can range from 300-350 million dollars. The total number of records in the dataset is 15 million. This includes sales transactions (12.5 to 13 million records) purchase transactions (2.3 to 2.5 million records) and inventory. · Download the Bititor LLC dataset · Open the dataset in tableau and join the two datasheet together using Brand = Brand (SalesFinal3312017.cvs) Respond to the Case Questions: Part I Requirement 1: Using these two Dashboards, describe Sales and Cost of Goods Sold (COGS) in a short memo · Your memo should be formatted as below. Short Memo: To: CFO From: Your Name Re: Bibitor LLC XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX Very truly yours, Your Name · Requirement 2: Using Tableau, recreate the first Dashboard (Sales by Store). The Summary box is optional. Part II Assist the CFO in creating Worksheets and Dashboards to answer these questions: · What is the total Sales Dollars and percentage breakdown of wine and spirits? **Classification 1 is spirits; 2 is wine*** · What is the most popular Size for wine and for spirits based on Sales Dollars and Quantity (include the total Sales Dollars and Quantity in your answer)? Provide the CFO with some reasons why this is important for managing the business. · Who is the most popular Vendor for wine and for spirits based on Sales Dollars and Quantity (include the total Sales Dollars and Quantity in your answer)? Provide the CFO with some reasons why this is important for managing the business. · Which Stores have the highest and lowest average sales price for wine and spirits? · What seasons/months are sales the highest and lowest? Provide the CFO with some reasons why this is important for managing the business. · If you were the CEO or CFO, what other data/variables would you want to collect to improve your business and why? Part III · Calculate the following variables · COGS: Sales Quanity * Purchase Price = · Gross Profit: Gross Profit= Sales – COGS = · Create a Scatter Graph comparing each store’s Sales and Gross Profit. Does the relationship appear to be linear? What is the equation of the trend line? Why wouldn’t a.

Bibitor, LLCBibitor, LLC is a retail wine and spirit company, .docx

Bibitor, LLCBibitor, LLC is a retail wine and spirit company, .docx

Bibitor, LLCBibitor, LLC is a retail wine and spirit company, .docx

BIBL 104 B iblical Worldview Essay Instructions Rationale for the Biblical Worldview Essay Every person has a worldview whether he realizes it or not. What is a worldview? James W. Sire defines a worldview as : [A] commitment, a fundamental orientation of the heart, that can be expressed as a story or in a set of presuppositions (assumptions which may be true, partially true or entirely false) that we hold (consciously or subconsciously, consistently or inconsistently) about the basic constitution of reality, and that provides the foundation on which we live and move and have our being. Stated more succinctly , “ … [ A] worldview is simply the total set of beliefs that a person has about the biggest questions in life.” F. Leroy Forlines describes such questions as the “inescapable questions of life.” Life’s inescapable questions include the following: “ Is there a God? If so, what is He like? How can I know Him? Who am I? Where am I? How can I tell right from wrong? Is there life after death? What should I and what can I do about guilt? How can I deal with my inner pain? ” Life’s biggest, inescapable questions relate to whether there is a God, human origins, identity, p urpose, and the hereafter, just to mention a few. Satisfying answers to the “inescapable questions of life” are provided by the Holy Scriptures. The Holy Scriptures , consisting of the Old and New Testaments , form the starting point and foundation for the b iblical w orldview. More specifically related to our purposes , the apostle Paul reflects several components of the biblical worldview in his letter to the Romans. The apostle Paul authored Romans toward the end of his third missionary journey, about 57 A.D. He addressed this letter specifically to the Christians in Rome. At the time the church in Rome consisted of Jewish and Gentile believers, with Gentile Christians in the majority. Paul wrote to the Christians in Rome in order to address specific concerns and challenges they were facing. While Romans was an occasional letter (not a systematic theology), Paul presents the Gospel of Jesus Christ in a very systematic fashion. The Gospel is actually the overarching theme of Romans as Paul spells this out in his programmatic statement in 1:16–17. As the systematic presentation of the Gospel of Jesus Christ, Romans is foundational to the b iblical/Christian w orldview. Recognizing that Romans is not a systematic theology and does not contain all the essential truths that are relevant to a worldview per se, the apostle Paul articulates truths that are foundational to the b iblical w orldview. In Romans 1–8, Paul addresses certain components of a worldview that relate to the natural world, human identity, human relationships, and culture. In a 750–1000-word essay, describe what Romans 1–8 teaches regarding the natural world, human identity, human relationships, and culture. Furthermore, explain how this teaching of these topics affects your wor.

BIBL 104Biblical Worldview Essay InstructionsRationale for t.docx

BIBL 104Biblical Worldview Essay InstructionsRationale for t.docx

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Biblical Principles of Government: Should Government Be Involved? YES NO Is this an issue of injustice? Inalienable Rights: Does the injustice equate to a violation of life, liberty, and property? YES NO Government should be involved. Government should not be involved. How can other spheres in society be involved to help solve the problem? Government should not be involved. The United States Constitution September 17, 1787 ____________________ It quickly became apparent that the Articles of Confederation, ratified by all the states by March 1781, was insufficient in several areas (Lowman, pp. 121-22). One of the main weaknesses was that it had no means of enforcing laws, or to settle disputes arising out of national laws. This placed the states in the position of being independent nations (Lowman, p. 122). The states had no rights with one another that were easily protected, and neither did their citizens. Shays' Rebellion, which occurred in Massachusetts in 1786, magnified this problem and was the event that caused the founding fathers to discuss plans for a better system of government: Shays' Rebellion was limited to Massachusetts, but it threw fear into the hearts of Americans in general. It rudely awakened them to the truly desperate political and economic conditions in America. George Washington, in a letter to John Jay, wrote that "our affairs are drawing rapidly to a crisis. We have errors to correct; we have probably had too good an opinion of human nature in forming our Confederation. Experience has taught us that men will not adopt, and carry into execution, measures the best calculated for their own good, without the intervention of coercive power. I do not conceive we can exist long as a nation without lodging, somewhere, a power which will pervade the whole Union in as energetic a manner as the authority of the state governments extends over the several states [Emphasis added.] (Lowman, p. 124). A convention was called to revise the Articles of Confederation, but under the leadership of George Washington, the delegates pushed for a more ambitious plan: creating an entirely new system of government: The Convention had been called only for the purpose of revising the Articles of Confederation. But most of the delegates realized from the beginning of their discussions that this was not enough to solve the nation's pressing problems. What was needed was a new and stronger national government. Since whatever action they took would only result in a recommendation to the states and would not be binding on anyone, they made the bold decision to put aside the Articles and draft a brand new Constitution for the United States. In making the "Great Decision," they heeded the advice of George Washington, who is reported to have told the delegates even before the Convention officially began: "It is too probable that no plan we propose will b.

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Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...

General AI for Medical Educators April 2024

General AI for Medical Educators April 2024

General AI for Medical Educators April 2024

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Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi

Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi

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Class 11th Physics NEET formula sheet pdf

Class 11th Physics NEET formula sheet pdf

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Advance Mobile Application Development class 07

Advance Mobile Application Development class 07

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fourth grading exam for kindergarten in writing

fourth grading exam for kindergarten in writing

The Most Excellent Way | 1 Corinthians 13

The Most Excellent Way | 1 Corinthians 13

The Most Excellent Way | 1 Corinthians 13

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IGNOU MSCCFT and PGDCFT Exam Question Pattern: MCFT003 Counselling and Family...

IGNOU MSCCFT and PGDCFT Exam Question Pattern: MCFT003 Counselling and Family...

1. RE Background Describe US government policy development i.docx

1. 1. RE Background: Describe US government policy development in health care from the 1930s to the present. 2. RE Hospitals: Describe the 3 types of hospital ownership – eg, not-for-profit, for-profit & governmental. 3. RE Ambulatory Care: Explain the differences between solo and group practices AND discuss the benefits of group practices. Ground Rules – Answer questions using a narrative report format - that is, use complete sentences and back up what you say. Use an 11-point font and 1-inch margins, and double space. Plan approximately 1 page per question. .