Female Genital Mutilation Essay -- Culture Cultural Genital Mutilation

Female Genital Mutilation FGM originated in Africa. It was, and remains, a cultural, not a religious practice. Female genital mutilation (FGM) is also known as female circumcision is performed on young women before they reach puberty. There are three types of FGM practiced. One is Sunna circumcision in which the tip of the clitoris and/or its covering (prepuce) are removed, Clitoridectomy where the entire clitoris, the prepuce and adjacent labia are removed, and Infibulation (a.k.a. Pharaonic circumcision) which is a clitoridectomy followed by sewing up of the vulva. Only a small opening is left to allow urine and menstrual blood to pass. In all types of FGM, the vagina is sown up until the female is ready to have sexual intercourse with her spouse or give birth to a child. The remaining sides of the vulva are stitched together to close up the vagina, except for a small opening, which is preserved with slivers of wood or matchsticks. This leaves them with reduced or no sexual feeling. Orgasms are sometimes im possible to experience later in life. Many health problems are a result of this traditional ceremony. Most women that do not go through female genital mutilation do not get married or society looks down on them, because women are viewed as clean and more desirable if FGM has been performed on them. These are the various types of FGM that the men uphold, but it is the women who usually do the cutting. The women that do the cutting are known as Circumciser’s and usually are elderly women figures in the tribe, who went through the same trauma of FGM when they were young girls. Many women who have expressed their experience openly to someone have described scenes such as a group rape. They describe being powerless, held down ... ...girl is the center of attention and receives presents and moral instruction from her elders. Lastly, it creates a bond between the generations, as all women in that society must undergo it and thus have shared an important experience. She also went on to say that by eliminating a women’s physical sex drive, circumcision made marriages more secure, and thus provided greater stability for families. She ended by saying, â€Å"Perhaps Americans, with their high rates of crime and teenage pregnancy, had things backwards†. While leaving out any personal opinion, we leave a question think about. From the background information of FGM, and the two stories of women who have gone through FGM and have run from it, Is it right for Westerners to impose their views and common experiences to a foreign nation that traditionally for thousands of years practiced Female Genital Mutilation? Female Genital Mutilation Essay -- Culture Cultural Genital Mutilation Female Genital Mutilation FGM originated in Africa. It was, and remains, a cultural, not a religious practice. Female genital mutilation (FGM) is also known as female circumcision is performed on young women before they reach puberty. There are three types of FGM practiced. One is Sunna circumcision in which the tip of the clitoris and/or its covering (prepuce) are removed, Clitoridectomy where the entire clitoris, the prepuce and adjacent labia are removed, and Infibulation (a.k.a. Pharaonic circumcision) which is a clitoridectomy followed by sewing up of the vulva. Only a small opening is left to allow urine and menstrual blood to pass. In all types of FGM, the vagina is sown up until the female is ready to have sexual intercourse with her spouse or give birth to a child. The remaining sides of the vulva are stitched together to close up the vagina, except for a small opening, which is preserved with slivers of wood or matchsticks. This leaves them with reduced or no sexual feeling. Orgasms are sometimes im possible to experience later in life. Many health problems are a result of this traditional ceremony. Most women that do not go through female genital mutilation do not get married or society looks down on them, because women are viewed as clean and more desirable if FGM has been performed on them. These are the various types of FGM that the men uphold, but it is the women who usually do the cutting. The women that do the cutting are known as Circumciser’s and usually are elderly women figures in the tribe, who went through the same trauma of FGM when they were young girls. Many women who have expressed their experience openly to someone have described scenes such as a group rape. They describe being powerless, held down ... ...girl is the center of attention and receives presents and moral instruction from her elders. Lastly, it creates a bond between the generations, as all women in that society must undergo it and thus have shared an important experience. She also went on to say that by eliminating a women’s physical sex drive, circumcision made marriages more secure, and thus provided greater stability for families. She ended by saying, â€Å"Perhaps Americans, with their high rates of crime and teenage pregnancy, had things backwards†. While leaving out any personal opinion, we leave a question think about. From the background information of FGM, and the two stories of women who have gone through FGM and have run from it, Is it right for Westerners to impose their views and common experiences to a foreign nation that traditionally for thousands of years practiced Female Genital Mutilation?

Andrew

Andrew Springiness Module 1 CSS: Information Networking as Technology: Tools, Uses, and Socio- Technical Interactions DIMMIT: Management of Information Systems and Business Strategy Dry. Mary Lind June 17, 2014 Information Overload â€Å"Are organizations likely to find better solutions to information overload through changes to their technical systems or their social systems or both? Why? To answer this question, this paper will discuss the technical and social systems of companies specifically based on review of the articles by Blair, Belling, et al, Green, ND Lie and Ere as well as other information on related data companies such as Amazon and ASS. The context of the paper will aide in the understanding of an ideal way to process the information present in the market and then use it for company benefits.This paper will also review and analyze the importance of info-tsunami in context of specific markers and give specific examples on how data storage and analysis is now the latest trend in the market. Various big data software present in the market and comment on the future trends of the market will be reviewed. Finally, I will propose an answer to the original question posed of what betterment is most important in dealing with information overload social systems, technological systems, or both?History of Data Mining/Sharing In order to truly understand information overload and how to deal with it, we must start by analyzing various aspects of data starting from its history through the current and probable future trends of the market. Today there are zillions of pieces of data in the market growing for over 30% per year bases (Blair, 2010). The roots of the big data come from ancient days when people used to huge manuscripts and biblical resources to pass on the knowledge of present generation to the next one.They not only documented information, but also backed up or made it easier to share that information by creating duplicates of the original work. Peopl e with different philosophies discussed the same issues with a different context and vision to give alternate versions of the existing issues. However, this increase in the amount of information collected led to what may have appeared to be an insurmountable collection that could not be fully read in an acceptable amount of time or never being blew to find specific information, which could be described as an information overload (Blair, 2010).People would have too much information to sift through to find what they needed, which would need to lead to an evolution in that form of data storage such as different note-taking capabilities as well as organization (Blair, 2010). Note- taking capabilities enabled the researchers to organize the structure of different ancient texts and later on printing evolved the structure of writing as indexes and bibliographies became norm for the research papers, which helped people to find he specific information they were looking for or the source of m ore information.Encyclopedias were created to serve as a set of easily accessible and searchable information on a broad amount of topics. Also, the advent of the Dewey Decimal System meant that a lot of general information could be found in a short amount of time. The Dewey Decimal Classification initially sorts information into 10 categories, and then into another 100 sub-categories, giving you 1, 000 specific categories to search (University Library, n. D. ). For example, you could search the ass's forTechnology or Applied Sciences categories and find sub-category (also known as a â€Å"call number†) 621 and search specifically for Applied Physics (University Library, n. D. ). All of these things lead to less of a feeling of information overload as people did not need to spend a lifetime searching for the data that they needed. However, personal collection of information would take up large amounts of space. Fast forward time a millennia or two and you have the advent of el ectronic media, which meant that a galore of information could be stored in a much smaller space.This educed limits of how much information people and organizations could collect. People and organizations could now store a large amount of information onto cassettes, disks, diskettes, compact discs, etc. Rather than in hundreds or thousands of books or written documents. Today, we can carry a flash drive with a program to read electronic books as well as hundreds or thousands of electronic books that is the size off pack of chewing gum. In addition to the space, the information itself was now only a touch away.People no longer needed to use indexes or bibliographies as they could sears for keywords and a computer would help to find he information they were looking for. Computer systems can search through programs, documents, or the world wide web and find information that people are looking for in milliseconds. However, there is now also a feeling that maybe there is too much informa tion accessible through the internet nowadays. We are at a point where there is what appears to be an insurmountable pile of information available on the internet, even when computer systems help us sift through the information.Companies may again have to sift through a lot of minutia in order to get the specific information they need. In another point of view, there were initial concerns regarding the electronic system of storage. There have been many instances where digital data has been hacked or accessed without the consent of the original writer in order to change the information or utilize it for other purposes than it was originally intended. There is also the possibility of data redundancy and the fear of data getting lost of due hardware complications.However, with the advent of more and more advance technologies in data storage and sharing electronic storage, there are greater security and back-up procedures added to hardware and software. This leads to the it is the only feasible medium conceivable in the future. Data Analysis To help understand information overload, data analysis must be defined. According to Russell Kickoff, a systems theorist and professor of organizational change, the content of the human mind can be classified into five categories: data, information, knowledge, understanding, and wisdom (Belling, Castro, & Mills, 2004).According to Belling, et al (2004), the data can be described as symbols; information is â€Å"data that can be processed to be useful† and provides answers to four of the five Was (who, hat, where, and when); knowledge is â€Å"the application of data and information† and answers the question of how; understanding gives an â€Å"appreciation of the question of why'; and wisdom is an elevated level of â€Å"evaluated understanding. † Data is seen as a raw entity which, for the proposes of this research paper, only exists either in digital or in ink.The significance of data is to be present i n any accessible format to the user. Information is the processed data and it is specific to any context to the user. Knowledge is the output gained from that information, essentially by realizing tatters formed by information. Although ultimately wisdom will help with future operations, industry is primarily concerned regarding retrieving knowledge, as this parameter is a tool which is used by the company to either make direct or indirect revenues. Knowledge is the basic building block of data analysis that can be gained directly from computer software.Companies such as MM, Accentuate and other consulting companies are focus teams to exploit knowledge as a parameter to give specific insights for industries and sectors. Understanding is one step ahead of knowledge in which problems are solved in a specific context. Understanding is the point which the reason for the patterns discerned from knowledge can be understood. It is involved in selecting the required information and processi ng it to provide the best solutions for a specific problem or multiple problems.Getting to the understanding phase is difficult with such a superfluous amount of data available to companies. In modern era this process is called Data Analytics or Just Analytics. This is slightly different according to Green (2010) who refers to only four sections of data, information, knowledge, and wisdom. The first three sections namely data, information, and knowledge are concepts of past data, but wisdom is a future analysis and vision concept. It develops our internal experience which helps in our future decision making.Wisdom is very similar to understanding, with the main difference being that wisdom allows one to predict fracture outcomes based on understanding the reasons behind specific patterns and how changes will affect behaviors of related processes. The first four sections can be represented in a hierarchy and the level of complexity will increase downwards from data to wisdom. In addi tion, the amount of effort and technological resources used will decrease from top to bottom as you require maximum resources to build and maintain data.The advance methods of data capturing tools have been efficient in blurring the lines between information and knowledge as companies are becoming efficient in data analysis. Socio-Technical System According to Lie and Ere (2006), â€Å"the Socio-Technical Systems theory considers that every organization is made up of people (the social system) using tools, techniques and knowledge (the technical system) to produce goods and services that are valued y customers (who are part of the organization's external environment). Essentially, this can be described as the interaction between personnel in an organization, or people in general, with that of technology. People and employees have certain behaviors that may need to be modified along with technology in order to create an optimized process or improve quality of fife. The Socio-Technic al Systems theory also considers the usage of social information and incorporates it into the development of technology to make it more relevant and desired. Amazon's Analytics Concept Data analysis has now become a latest trend in the market.Amazon. Com has become a leader in promoting the analytics-as-a-service concept. They are approaching this as a cloud-enabled business model and not Just an innovation in the industry. It is a great model and will provide as an alternative having better architectural patterns to Justify business priorities. Amazon aims at firms dealing with large amount of data and need flexible infrastructure. Targeted domains in web analytics include gene sequencing, cyber- security, human resource workforce and others.The challenge is to bind data and draw insights without building complex entities and spending years in restoring those entities. Predicting entities infrastructure is yet emerging and the case is not trivial for Amazon. The model is to give fo recast estimations to the companies using their own data which stored with Amazon cloud computing servers. Additionally, Amazon uses data analysis to evaluate data on historical purchases and â€Å"wish-lists† to predict the amount of specific products that will be ordered and need to be shipped to certain locations (Devils, 2014).Amazon can then pre-ship items to hubs in bulk shipments prior to people ordering, which saves in future costs and enables faster shipping services (Devils, 2014). Role of Advance Technology in Data Analysis and Future Trends Technology plays a crucial role for big data analysis as it enables the forecasters to apply the data onto the model and get significant results. With tests such as the Durbin Watson Test, white noise is a small statistical test but needed to implement on all of the data to identify the required useful parameters.There are trillions of megabytes worth of data in companies. So, how are results found using simple tools such as ex cel which, according to Microsoft Office (n. D. ), has a limitation of â€Å"1 ,048,576 rows by 16,384 columns? † Dedicated servers and software's are built and designed specifically for these kinds of requirements. The open source language R is specially built for statistical operations, to extract and interpolate data and can run on multiple operating systems (Wirtschaftuniversitat Wine, n. D. ). A lot of additional software has also come along the way.Some of these include SAPS, ASS, Maintain, Stats, Jump, Mathematical and others. All have their pros and cons but ASS and SAPS are considered two of industry favorites (Munched, 2014). Another technology which is on the rise is Apache Hoodoo. Hoodoo is designed to create a partition in the virtual memory and allows different users to implement the same function on large databases to give the results (The Apache Software Foundation, 2014). It is more of a server application and can be combined and other technologies to get opt imum results.To solve the memory problem these days, companies are shifting to cloud computing as an alternative. Cloud computing is where all the data is saved n the dedicated servers of a third party vendor and not with the company itself. Whenever the data is required it is processed from those servers and for each transaction a certain sum is paid by the company to the third party. Although cloud computing isn't 100% effective all of the time either as several companies have found out in the past decade according to Dan Mariner's (2013).In the next five years, a trend of adaptation of analytics in more and more countries and in different domains can easily be predicted. As of now, pharmaceutical industry has endorsed use of clinical trails led by analytics. Also, the concept of â€Å"Moneybags† has been in used in baseball for several years now. Additionally, credit risk has been managed by these same analytical financial models. All signs for the rising demand of analyti cs in future. Software's like ASS, Hoodoo are here to stay and we will see more data managing software been introduced in the industry.Analytics will act as a backbone of E-commerce industry driving their profits and market share. In the future, big data analysis will not Just be a tool to gain competitive edge but will become a necessity for the survival of the company in highly competitive market. In marry, information and its quest have been long running from the past. Companies are inclined to use as much information possible to enhance their productivity and achieve competitive level in the ever evolving market.The trends of the market suggests that companies are more inclined to use technology and data mining software and there dependency has been shifting from senior officials to software inputs. Still the importance of experience cannot be neglected and companies must make a balance between the two to achieve high growth rates. I believe the priority will focus on improvemen t of the technical system; however, any many that refuses to look at the importance of the social system will continuously see high turnover rates. References Blair, A. (2010) Information Overload, Then and Now.

A Report On The United States Customs Enforcement Agency

Jacob Bertuglia Prof. Keilholtz CRJ-110 March 4, 2017 A Report on the Current State of The US Immigration and Customs Enforcement Agency And The US Secret Service 1. US Immigration and Customs Enforcement Agency. A. The mission of ICE is to enforce laws regarding the safety of the US such as immigration and customs laws, investigate and make necessary arrests in cases of the violation of these laws and if necessary, facilitate transfers of offenders to the custody of additional agencies depending on the nature of crimes. ICE operates in more than 47 countries with jurisdiction at all ports of entry (Airports, embassies, sea and land entries, checkpoints and shipping ports), around the world wherever US interests would dictate such†¦show more content†¦2. US Secret Service A. The mission of the US Secret Service is to protect US political heads of state, such as the president, cabinet, their families, high ranking politicians and to investigate and combat counterfeiters of currencies, financial frauds which include but are not limited to: â€Å"†¦credit card fraud; telecommunications fraud; computer fraud, identify fraud and certain other crimes affecting federally insured financial institutions.† Additionally, and under Title 18, Section 3056, of the United States Code: I. They may execute warrants issued under any portion of US law. II. Make arrests without warrants for any offense committed in their presence, including but not limited to felonies. III. Offer and pay out rewards for any and all information leading to arrests of any person who has violated a law which the Secret Service has been charged with enforcing. IV. 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