Liberal Arts For The Christian Mind Leland Ryken - 1701 Words

There is probably no other time in our lives more formational than the college experience. So much depends on these few early years in our live as we grow socially, mentally, and (for some of us) spiritually. Therefore, the college decision may be the most important one we ever make in our lives. People often view a liberal arts college as a place for people who don’t know what they want to do with their lives. They come out knowing a little bit of everything, just enough to get you a job in what interests you once you graduate. However, this is not the case. A liberal arts education prepares us for more than just a vocation but rather all of life. In the book Liberal Arts for the Christian Mind Leland Ryken says that â€Å"A liberal education prepares people to do well in all that they may be called to do in life† (L. Ryken 19). Yet as Christians we must factor our calling to a life service into this equation. Ryken also says â€Å"Loving and serving God should be the foundation for everything else that you do at college.† The Christian liberal arts is the most effective education system to prepare for a life of service to Jesus Christ and the church. So what’s so special about the liberal arts? People tend to view it as a jack of all trades, master of none type of education. It’s commonly believed that those who attend liberal arts colleges are people with no direction in life, people who only applied because that was the logical next step after high school. I can identifyShow MoreRelatedCollege Is Like A Marriage1855 Words   |  8 Pages College is like a marriage. You can marry a Christian, a non-Christian, or no one at all. Who you marry carries influence to shape you through a meaningful relationship. That is why it is so important as a Christian to marry someone who believes in Christ, so that together you can grow in your love for Christ and as a result, for each-other. Once you marry someone, regardless of religion you have two options. To live your days intentionally committed to growing, connecting, and learning with

Effect of the Steam Engine on the Industrial Revolution

Effect of Steam Engine on Industrial Revolution The economy of England during the 18th century was one that needed rebuilding after many years of war with other countries. A breakthrough of new technology and ideas boosted the economy, creating a time known commonly as the Industrial Revolution. Specifically, there was one invention that defined the Industrial Revolution. The steam engine, a device powered by coal used to run machines at an efficient rate, was developed during the Industrial Revolution. The invention of the steam engine had a major effect on the economy of England during the Industrial Revolution through its use in mining, transportation, and factories. Thomas Savory created the very first steam engine in 1698, however it was hardly used due to its unreliability ().Savorys engine was widely advertised, however it could only be put under a certain amount of pressure before it exploded (). Industrialist Matthew Boulton brought Watt over to England to work with him on building his steam engine, providing him with the inventors and equipment needed to complete the engine ().Watt moved to the center of the Industrial Revolution in Birmingham, England, working with other inventors to build his steam engine (). Many different industrialists were able to provide their facilities and equipment to help Watt make his steam engine (). Boulton, partnering with Watt, was able to acquire a 25 year extension to Watts patent, allowing Watt to build over 500 steamShow MoreRelatedSteam Engines By Katelyn Warga 2nd Period947 Words   |  4 PagesSteam Engines By Katelyn Warga 2nd Period Being around for over 2000 years, the steam engine has proved its worth. Invented in the industrial revolution, â€Å"this heat engine performs mechanical work using steam as its working fluid.† Throughout its time the steam engine has had many uses, and been modified many times to change its pronounced task. This had led to the steam engine being a very important invention in the industrial revolution, changing life in social and economic ways that still impactRead MoreImpact Of Entrepreneurs On The Industrial Revolution1740 Words   |  7 PagesThe entrepreneurs had a great effect on the Industrial Revolution because they were working with inventors who had ideas to make things better and work more efficiently. They would pay inventors to keep working on ideas and that would therefore make them more money Entrepreneurs were contributing ideas to the industrialization in the areas of transportation, agriculture, and the population increase demands. Enclosures were made to increase crops. Farmers and landowners were able to try newRead MoreSteam Engines Of The Industrial Revolution1442 Words   |  6 Pagesthe industrial revolution. The factories during this era, themselves, were powered by steam engines. But where did the steam engine come from? Who invented this revolutionary invention? How does the steam engine chug-chug at 50+ miles per hour by merely using hot air, emitted by boiling water. The answer to these questions: the steam engine was not invented nor developed solely by one person, but by contributions of a multitude of people throughout this time in history. A modern, simple steam engineRead MoreThe Industrial Revolution Had A Great And Long Term Effect On Our World Essay1698 Words   |  7 PagesThe Industrial Revolution had a great, and long-term effect on our world. We the people have profited from it in numerous ways. The Industrial revolution has formed the way we live today in countless more ways than you can envision, yet it occurred so long ago. The revolution started in the United Kingdom, then binged throughout Western Europe, North America and ultimately the rest of the world. The Industrial revolution has also impacted the way us creatures live and act. Even if we don t recallRead MoreHistorical Analysis of The Industrial Revolution 1006 Words   |  5 Pages The Industrial Revolution was one of the most impactful eras in the history of the world. It changed the way we worked, lived, owned, and generally thought. With advent of economic philosophies like capitalism and communism, the way we worked and lived was written down and itemized, and western civilization was never the same. The concepts of jobs, urbanization, and credit might have allowed the world to progress into a veritable economical ecosystem, defining our modern definition of living, butRead MoreImpact Of The Industrial Revolution On Capitalism And The Contemporary Society Essay1625 Words   |  7 PagesThe impact of the Industrial Revolution on Capitalism and the Contemporary Society, When looking into the past during the Industrial Revolution, there were many cause and effect events that occurred, the Industrial Revolution changed the lives of many, these changes in society were caused by the innovations of the time period, and the need for a more productive environment. There was a movement from an agricultural society to a manufacturing society; these changes affected the family’s abilityRead MoreTechnology And Its Impact On Society995 Words   |  4 Pagesinnovate and revolutionize technologies that surround them in day to day life. This drive to innovate has led to technologies that have made it easier to create, manage, and exchange goods and information. Planned technological systems such as the steam powered railroad provided a widely accepted vessel which society could improve on through increased trade efficiency. On the contrary, individuals can take progress and technology too far entirely, eventually affecting people’s land, increasin g pollutionRead MoreThe Steam Engine Was Not So Much Invented As Industrialised1330 Words   |  6 PagesThe steam engine was not so much invented as industrialised. To give credit to any one person would be to steal credit away from its many rightful owners. The steam engine was evolved over a time of about a hundred years by three British inventors. The first basic steam powered engine was built by Thomas Savery in 1689. What was used before the steam engine? In the early days, one common way of removing the water was to use a series of buckets on a pulley system operated by horses and was slow andRead MoreEffects Of The Industrial Revolution On England1507 Words   |  7 PagesEffects of the Industrial Revolution on England The Industrial Revolution in England brought significant changes to the country both positive and negative. The Industrial Revolution was generally positive because of the development of technology and a better standard of living. However, some of the negative aspects were the terrible labor conditions and the mistreatment of women and children. Industrial Revolution in England started in the 1760s and went on until around 1850. Life beforeRead MoreThe Industrial Revolution in North America Essay583 Words   |  3 PagesThe Industrial Revolution in North America The industrial revolution started around 1750. It began in Britain and it spread through out the World. England was known as â€Å"the world’s workshop† because at that point in time, England was the major manufacturing center of the World.(Bailey) It took about ten years for the industrial revolution to spread to other places. It spread to America. The Industrial Revolution was favorable to the American

Electronic Health Records Free Essays

In this paper this student will discuss the national mandate of electronic health records (EHR), and how this mandate is being implemented at the Cleveland Clinic Foundation. Also discussed are how Cleveland Clinic is progressing to achieve EHR, and what challenges this brings to patient confidentiality and self-determination. Lastly this student will provide information on the benefits of EHR in healthcare. We will write a custom essay sample on Electronic Health Records or any similar topic only for you Order Now According to Gunter Terry (2005), â€Å"The electronic health record (EHR) is an evolving concept defined as a longitudinal collection of electronic health information about individual patients and populations. Primarily, it will be a mechanism for integrating health care information currently collected in both paper and electronic medical records (EMR) for the purpose of improving quality of care†. (p. 1). Office of the National Coordinator for Health Information Technology (ONC), and the American Health Information Community (AHIC) were created to oversee the EHR mandate that was set in place by President George Bush in 2004 (Simborg, 2008, p. 127) This goal has now transitioned to our current President, Barack Obama, who also is setting the goal for the year 2014. Electronic health records are set to take place of traditional paper records with the help of this initiative. The ability to have every healthcare organization operating with electronic health records serves numerous benefits for not only patients but healthcare providers. Some of the benefits include, additional patient safety, ability to communicate and collaborate with other healthcare providers, and the longevity of electronic health records. Patient safety is at the utmost importance to healthcare providers, and EHR enables providers to have an in-depth history of their patients, leading to better care and treatment. Due to patients receiving care from many different health care providers, this can act as a barrier when trying to maintain a collaborative process. By adopting EHR this enables all providers to participate in the care of the patient. When discussing the longevity EHR serves in our society Tang, Ash, Bates, Overhage, Sands (2006), states â€Å"The 2005 Hurricane Katrina disaster exposed the fragility of America’s health information infrastructure. When confronted by a hurricane, an avian flu pandemic, or a bioterrorism attack, the public needs to be able to depend on reliable access to their health information† (p. 27). If healthcare corporations adopt EHR, there will be no threat of patient medical records disappearing. After stating the goals of EHR, and the benefits it serves, this student will now discuss how EHR is being utilized at the Cleveland Clinic Foundation. One could say that the Cleveland Clinic were innovators in EHR, being one of the first institutions to adopt EHR more than eleven years ago. According to Cleveland Clinic (2012), EHR is â€Å"enabling physicians to actively collaborate and exchange information to ensure appropriate coordination of care throughout a patient’s life†. MyChart has also been a large milestone in development as part of Cleveland Clinics adoption of EHR. MyChart gives patients access to medical records, test results, and physician notes through a portal on the internet that can be accessed at home online. â€Å"MyChart, Cleveland Clinic’s secure, online patient-centered recording tool, connects patients to personalized health information at any time† (Cleveland Clinic, 2010). One benefit MyChart gives to patients is the ability for them to participate in decisions and their care. While analyzing Cleveland Clinics utilization and plans for EHR, this student was able to evaluate strengths and weaknesses. Some strengths of the Cleveland Clinics plans for EHR include their development and growth of the EHR system, the innovation developed into the current plan, and the ability to incorporate patients into their healthcare. Being that Cleveland Clinic was one of the first institutions to start the process of adopting EHR, they in return have the biggest ability to grow, and develop their system. Cleveland Clinic has shown such innovation in their process that other institutions have sought help from them for development of their own system. In an article by the Plain Dealer (Kleinerman, 2013) the chief information officer at Glens Falls Hospital, Joan McFaul stated â€Å"Our relationship with Cleveland Clinic will advance information technology best practices at GFH, and we will benefit by having access to a broad base of knowledge and the expertise of one of the country’s premier health systems†. When Cleveland Clinic developed MyChart, this plays a role in the patient self-determination act, being that the patients constantly have the ability to be informed about their healthcare, and to take part in any decision making. A weakness of the EHR system in place at the Cleveland Clinic includes the risk of confidentiality. Even though the ability to access health records online has numerous benefits, the ability that such records could become hacked always poses a risk. The health records are protected by a username and password through the Cleveland Clinic website. With all of the technological advances it seems as though it is becoming easier and easier for unknown people to access personal information. This student believes that more precautions should be taken when a patient’s confidentiality is at risk. This student also believes more information should be needed to access health records online, instead of just a username and password that provides little security. After reviewing the EHR mandate, and the benefits it serves to healthcare institutions, this student believes that if more institutions adopted this system it would ultimately give better patient care. Also after further research into Cleveland Clinics development of EHR, this student feels the growth of this system in endless. While there are some flaws to this system, with time EHR at Cleveland Clinic could ultimately become one of the nation’s leaders that other institutions wish to learn from. How to cite Electronic Health Records, Papers

Big Data Opportunities and Challenges †Free Samples to Students

Question: Discuss about the Big Data Opportunities and Challenges. Answer: Introduction In this paper we are going to focus on the emerging trend of big data analytics on the two case studies which are undertaken. The case study one focuses on the efficiency and effectiveness of the big data analytics in the field of health care system. The second case study describes the use of big data analytics by the semiconductor manufacturing organization. The focus of the paper is to translate the use of big data analytics by the different sector in the working curriculum of their organization. The evolution of big data analytics has completely transforms the working structure of the semiconductor manufacturing industry. The use of big data semantics by the organization in their working infrastructure helps in improving the work based environment of the company by detecting the occurrence of the fault, increasing the capabilities by using effective technology, making use of predictive maintenance program, and etc. The technological gaps of the organization can be filled by using the big data analytics environment. The working quality of the enterprise can be improved by exploring the quality of data provided for the development of the quality solution and using the fundamentals of online expertise. The need of big data analytics is for the semiconductor manufacturing industry because it helps in managing the streamlining process of supply chain in managing raw material according to the demand of the project, coordination between online and offline tools, flexibility in retrieving required information, promotion of the product through the online tools, use of real object virtually, and increasing the decision making capabilities of the manager. The five objectives of the big data which are variety, velocity, volume, value, and veracity helps in improving and adding new capabilities to the existing system. During the initial stages of transforming the working tactics with the big data, company faces many challenge and problems due to the increase of complexity in the designing process of manufacturing product (Osuszek, 2016). Traditionally, the designing of the product was done on the 2D environment but with the inclusion of 3D data analytics The big data analytics is required du e to the faster growth of internet of things, mobile device, advanced version of smart device, and inclusion of artificial intelligence system (Weilki, 2013). The capability of the manufacturing can be enhanced by transforming the working environment with the ease of handling big data efficiently. The applicability of the big data analytics in the field of manufacturing semiconductor can be followed the following road map which focuses on 5V model of the big data. It helps in managing the quality and merging of the data application to improve the level of the designing process. The semiconductor device should have the capabilities of handling data required for sensor network as the growth of the technology. The enterprise resource planning helps in updating the manufacturing execution system of the organization (Raghupathi, 2014). The capabilities of the system can be improved with the inclusion of big data analytics in advance process control system of the enterprise. Advance process control system of the organization is comprised of various terminologies which should be updated with the use of big data analytical platform (Halaweh, 2011). The terminologies of the APC system are fault detection system which is used for detecting anomalies, classification of the fault is used for determining the reason or cause, prediction of the fault is used for the monitoring of the process for analysing the anomalies in the system, deployment of the run to run control for improving the processing power of the system, statistical process control is used for achieving the control on the process, equipment health monitoring tools is used for analysing the working condition of the equipment used for processing, predictive maintenance program helps in providing proactive maintenance, scheduling procedure can be effectively impr oved with the use of predictive maintenance program, virtual memory is used for handling the sensor data information, and prediction of product manufacturing. The processing scheme of the organization can be effectively managed with the use of big data because it helps in providing dynamic environment to the manufacturing process for improving the functional operation of the organization (Mishra, 2015). The quality issues of the data can be resolved with the implementation of the big data analytics procedure. The quality of the data is affected due to the inclusion of internal and external factor such as competition in the industries, following of rules and standards, analytical solution, requirement, and etc. These challenges can be effectively resolved by improving the 3D dimension of working. The working capabilities of the semiconductor manufacturing organization can be improved by improving the supervision level, prediction level, correlation in the parameters, incorporation for resolving complexity, and many more (MCKinsey, 2014). The level of supervision can be improved by managing the correlation between dataset and the parameters required for processing, level of prediction helps in forecasting the output of the process undertaken, measuring the functional dependency among the data set helps in resolving the correlation issues which exist in the data set, and others. The st udy of the given dimensions helps in increasing the capabilities of the different section. The inclusion of principle component analysis helps in analysing the application. The coordination between the big data analytics and APC application helps in focusing on the false of the processes during the supervision of the data, managing correlation between different processes, resetting of the dynamic model, and setting of the time required for the completion of the process. The detection of the anomalies can be effectively done with the help of big data analytics in the process control block of the semiconductor manufacturing industries. Smart manufacturing of the semiconductor devices can be effectively done by the inclusion of big data analytics in the manufacturing process of the organization (EY Advisory Service, 2014). The effectiveness of big data helps in development of integration policies between the processes related to the supply chain management system, optimizing flexibility in the manufacturing operations, and traceability of the processing program. The inclusion of cyber physical system in the manufacturing processes of the semiconductor devices helps in bringing coordination among the physical resources with the help of computation processes. The virtual environment of the business processes focuses on predicting the faults and the outcome in the process driven program undertaken by the company. The infrastructure of data processing should be completely changed from 2D environment to 3D environment. The capability of the manufacturing can be enhanced by transforming the working environment with the ea se of handling big data efficiently (Hajli, 2017). The applicability of the big data analytics in the field of manufacturing semiconductor can be followed the following road map which focuses on 5V model of the big data. The use of big data semantics by the organization in their working infrastructure helps in improving the work based environment of the company by detecting the occurrence of the fault, increasing the capabilities by using effective technology, making use of predictive maintenance program, and etc. From the study of the given case study on the semiconductor manufacturing industry we are able to highlight the effectiveness of big data environment for handling the business process for predicting the fault and the outcome of the process proactively so that the gaps of the business processes undertaken should be removed before implementation which helps in retrieving the prescribed output without any distraction (Fuzitsu, 2014). The use of dynamic equipment in the virtual environment helps in improving the quality, accuracy, availability, and reliability of the data used in the completion of the manufacturing process. The fault detection and the predictive maintenance features of the big data analytics helps in creating the robust maintenance solution for the company to provide best manufacturing practices. It helps in managing the quality and merging of the data application to improve the level of the designing process. The case study two focuses on the use of big data analytics in the field of health care centre. The objective of this study is to look on the operational capabilities of the big data to handle the functionality of the health care system with ease and effectiveness. The health care industry is having large volume of data in the form of patient record which has to be kept synchronously so that it can be retrieved by the user at any time and at any corner of the global world. The new technology is required providing the quality output with minimum cost to increase the capability of decision making and helps in providing instantaneous health service to the patient on demand. The complexity of the health care system can be resolved with the implementation of the big data analytics for handling the scheduling of the patient record on the online portal of the application so that it can be fetched by the doctor or the patient according to the requirement. The big data analytics helps in mana ging the records of the data in the scheduled and the synchronous order. The electronic patient records include the details of previous prescription, including laboratory details, pharmacy, and data related to the insurance policy. This newer technology is helpful in saving millions of life by providing accurate information of the patient at the time of need without wasting a moment of second which is crucial for the life of the patient at the time of emergency. The expert doctors can also participate through videoconferencing to resolve the serious condition of the patient by studying all the previous reports and prescription of the patient. The need of big data analytics arises for the management of online patients health records to handle the situation of emergency by the experts sitting at their respective places and the provided with the immediate treatment which helps in saving the life of the patient. The digitization of the health record helps in managing integration between various hospitals. The early detection of the disease can be possible due to the sharing of experience by the various experts. The records of the patient is managed over the portal throughout the life of the patient so whenever there is a need of older records than it is easy to retrieve through the concept of big data analytics. The consultation from the various doctors can be taken by sharing the reports of the patient by them. The deployment of the big data an alytics in the working curriculum of the health care system helps in minimizing the cost spend by the patient on his treatment by managing all the previous records of test and simultaneously consultation from various experts at a time. The availability of statistical data of the patient records open the door for exploring the research area to diagnose the symptoms of the disease predicted in the patient. The knowledge of possible causes helps in taking action to take preventive measures of that particular disease. The research study on the big data is come up with possible solution to resolve the health issue related to the disease. The fraud with the patient records can be easily detected (Accenture report, 2014). The real time analysis of the large volume helps in knowing the case of emergency and the quick first aid can be provided according to the need of the patient at the destination place. The 4 Vs characteristics of the big data are applied on the health care system. The Volume characteristic helps in managing the large data of record of the patient for easy retrieval. The velocity is applied for providing the data on the demand of the user and maintaining the flow of data between the sender and receiver. The variety is applied for accumulated various types of information of the patient at one place. The real time monitoring of the portal provides the information related to the person who is in need of quick treatment. The matching of the old data and the new data can be effectively done with the use of big data analytics. The reliable and accurate information is provided to the user end (CGMA Report, 2011). The visualization techniques can be easily applied for measuring the statistica l data. The warehousing of the data can be effectively done with the use of newer technology. The coordination in the management of data helps in avoiding faults in the presentation of the data. The decision making capabilities of the doctors and experts can be increased by the online retrieval of the information. The distributed processing is applied on the data available on different warehouses to get the accurate information of the patient from various sources. The map-reduce technology is applied on the data available on the Hadoop file system for managing big data of the health care system. The implementation of the map-reduce algorithm helps in eliminating the complexity from the data management statistical support. The open source tools are utilized for making the user-friendly environment for the data driven policies. There are various sources of big data in the health care system which are categorised as internal sources, external sources, multiple geographical location, and multiple distributed application environment. The transformation of the big data into the useful information can be possible with the implementation of data warehouse. Various tools are applied to the transformations of data into useful information such as map reduce protocol in the Hadoop file system environment, zookeeper, avro, hive, and many others (Peristeris, 2011). The accessing of the big data can be done through various applications like in the form of queries, data mining techniques, OLAP system, and generation of reports. The decision support system of the health care depends on the availability of the digital health records of the patient. There are some negative consequences of using big data analytics in the health industry. The success of the big data handling depends on the accurate and reliable retrieval of i nformation from various sources. Privacy is the main concern on managing digital health records of the patient on the network (Rankin, 2015) .The attacker has the possibility to retrieve confidential information of the patient from the digital records (Alam, 2014). The security and the cryptographic approach should be used for securing the private information of the user from data leakages. The lack of using technological equipment in collecting information can cause the problem of accuracy in the data uploaded in the health record of the patient. The accuracy of the information posted on the electronic record of the patient should be verified so that no chance of fraud can occur. The government standards should be followed for managing the ethical laws on the platform of big data analytics associated with the health care centre. Conclusion From the analysis of the case studies, it is concluded that big data analytics helps in managing the large volume of data on the network with accuracy and reliability. During the course of action plan, the security concern should be taken under consideration. The cryptographic approach should be used for securing the data on the network to be leaked by the third party. The confidential information of the user should be remaining private. The security procedure should be laid down for the successful implementation of the big data analytics in the working curriculum of the enterprise. Reference: Accenture report. (2014). Big success with big data. Retrieved https://www.accenture.com/sa-en/_acnmedia/Accenture/Conversion-Assets/DotCom/Documents/Global/PDF/Industries_14/Accenture-Big-Data-POV.pdf Alam, J. (2014). A review on the role of big data in business. Retrieved https://www.ijcsmc.com/docs/papers/April2014/V3I4201480.pdf CGMA report. (2011). From insight to impact: unlocking opportunity in big data. Retrieved https://www.cgma.org/content/dam/cgma/resources/reports/downloadabledocuments/from-insight-to-impact-unlocking-the-opportunities-in-big-data.pdf EY Advisory Service. (2014). Big data: Changing the way business compete and operate. Retrieved https://www.ey.com/Publication/vwLUAssets/EY_-_Big_data:_changing_the_way_businesses_operate/%24FILE/EY-Insights-on-GRC-Big-data.pdf Fuzitsu, F. (2014). Technology and service vision: Case studies service, product, and solution. https://www.fujitsu.com/us/Images/fujitsu-technology-and-service-vision-en-separate.pdf Hajli, N. (2017). Exploring the path to big data analytics success in health care. Retrieved https://www.researchgate.net/publication/306128586_Exploring_the_path_to_big_data_analytics_success_in_healthcare Halaweh, M. (2011). Conceptual model for successful implementation of big data in organization. Retrieved https://pdfs.semanticscholar.org/27a3/da3c859571f23256e4f5d686f2a880570160.pdf MCKinsey, M. (2014). The age of analytics: competing in the data driven world. Retrieved https://www.mckinsey.com/~/media/McKinsey/Business%20Functions/McKinsey%20Analytics/Our%20Insights/The%20age%20of%20analytics%20Competing%20in%20a%20data%20driven%20world/MGI-The-Age-of-Analytics-Full-report.ashx Mishra, R. (2015). Big data opportunities and challenges. Retrieved https://www.ijcsmc.com/docs/papers/June2015/V4I6201508.pdf Osuszek, L. (2016). Leverage big data analytics for dynamic informed decision with the advanced case management. Retrieved https://www.tandfonline.com/doi/full/10.1080/12460125.2016.1187401 Peristeris, T. (2011). Big data driven innovation. Retrieved https://gupea.ub.gu.se/bitstream/2077/39873/1/gupea_2077_39873_1.pdf Raghupathi, W. (2014). Big data analytics in health care: Promise and potential. Retrieved https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4341817/ Rankin, J. (2015). Research on implementing big data. Retrieved https https://files.eric.ed.gov/fulltext/ED555544.pdf Weilki, J. (2013). Implementation of the big data concept in organization-possibilities, impediments, and challenges. Retrieved https://pdfs.semanticscholar.org/31dd/beb275cb2505fff9f606e00f6137599de2e1.pdf