Monday, March 16, 2020

Brigadier General James Barnes in the Civil War

Brigadier General James Barnes in the Civil War James Barnes - Early Life Career: Born December 28, 1801, James Barnes was a native of Boston, MA.   Receiving his early education locally, he later attended Boston Latin School before commencing a career in business.   Unsatisfied in this field, Barnes elected to pursue a military career and obtained an appointment to West Point in 1825.   Older than many of his classmates, including Robert E. Lee, he graduated in 1829 ranked fifth of forty-six.   Commissioned as a brevet second lieutenant, Barnes received an assignment to the 4th US Artillery.   Over the next few years, he served sparingly with the regiment as he was retained at West Point to teach French and tactics.   In 1832, Barnes married Charlotte A. Sanford. James Barnes - Civilian Life: On July 31, 1836, following the birth of his second son, Barnes elected to resign his commission in the US Army and accepted a position as a civil engineer with a railroad.   Successful in this endeavor, he became superintendent of the Western Railroad (Boston Albany) three years later.   Based in Boston, Barnes remained in this position for twenty-two years.   In the late spring of 1861, following the Confederate attack on Fort Sumter and beginning of the Civil War, he left the railroad and sought a military commission.   As a graduate of West Point, Barnes was able to obtain the colonelcy of the 18th Massachusetts Infantry on July 26.   Traveling to Washington, DC in late August, the regiment remained in the area until the spring of 1862. James Barnes - Army of the Potomac: Ordered south in March, Barnes regiment sailed to the Virginia Peninsula for service in Major General George B. McClellans Peninsula Campaign.   Initially assigned to Brigadier General Fitz John Porters division of III Corps, Barnes regiment followed the general to the newly-created V Corps in May.   Largely assigned to guard duty, the 18th Massachusetts saw no action during the advance up the Peninsula or during the Seven Days Battles in late June and early July.   In the wake of the Battle of Malvern Hill, Barnes brigade commander, Brigadier General John Martindale, was relieved.   As the senior colonel in brigade, Barnes assumed command on July 10.   The following month, the brigade participated in the Union defeat at the Second Battle of Manassas, though for unrecorded reasons Barnes was not present.       Rejoining his command, Barnes moved north in September as McClellans Army of the Potomac pursued Lees Army of Northern Virginia.   Though present at the Battle of Antietam on September 17, Barnes brigade and the rest of V Corps were held in reserve throughout the fighting.   In the days after the battle, Barnes made his combat debut when his men moved to cross the Potomac in pursuit of the retreating enemy.   This went badly as his men encountered the Confederate rearguard near the river and sustained over 200 casualties and 100 captured.   Barnes performed better later that fall at the Battle of Fredericksburg.   Mounting one of the several unsuccessful Union attacks against Maryes Heights, he received recognition for his efforts from his division commander, Brigadier General Charles Griffin. James Barnes - Gettysburg: Promoted to brigadier general on April 4, 1863, Barnes led his men at the Battle of Chancellorsville the following month.   Though only lightly engaged, his brigade held the distinction of being the last Union formation to recross the Rappahannock River after the defeat.   In the wake of Chancellorsville, Griffin was forced to take sick leave and Barnes assumed command of the division.   The second-oldest general in the Army of the Potomac behind Brigadier General George S. Greene, he led the division north to aid in halting Lees invasion of Pennsylvania.   Arriving at the Battle of Gettysburg early on July 2, Barnes men briefly rested near Powers Hill before V Corps commander Major General George Sykes ordered the division south towards Little Round Top. En route, one brigade, led by Colonel Strong Vincent, was detached and rushed to aid in the defense of Little Round Top.   Deploying on the south side of the hill, Vincents men, including Colonel Joshua L. Chamberlains 20th Maine, played a critical role in holding the position.   Moving with his remaining two brigades, Barnes received orders to reinforce Major General David Birneys division in the Wheatfield.   Arriving there, he soon withdrew his men back 300 yards without permission and refused pleas from those on his flanks to advance.   When Brigadier General James Caldwells division arrived to reinforce the Union position, an irate Birney ordered Barnes men to lie down so that these forces could pass through and reach the fighting.          Finally moving Colonel  Jacob B. Sweitzers brigade into the fight, Barnes became conspicuously absent when it came under a flank attack from Confederate forces.   At some point later in the afternoon, he was wounded in the leg and taken from the field.   Following the battle, Barnes performance was criticized by fellow general officers as well as his subordinates.   Though he recovered from his wound, he performance at Gettysburg effectively ended his career as a field officer. James Barnes - Later Career Life: Returning to active duty, Barnes moved through garrison posts in Virginia and Maryland.   In July 1864, he assumed command of the Point Lookout prisoner-of-war camp in southern Maryland.   Barnes remained in the army until being mustered out on January 15, 1866.   In recognition of his services, he received a brevet promotion to major general.   Returning to railroad work, Barnes later aided the commission tasked with constructing the Union Pacific Railroad.   He later died at Springfield, MA on February 12, 1869 and was buried in the citys Springfield Cemetery.   Ã‚   Selected Sources Gettysburg: James BarnesOfficial Records: James Barnes18th Massachusetts Infantry

Saturday, February 29, 2020

Business Intelligence Advantages and Disadvantages

Business Intelligence Advantages and Disadvantages Introduction The purpose of this report is to discuss the both the advantages and disadvantages of using Business Intelligence within a business. As well as to discuss the potential algorithms which could be used to achieve datamining which will allow for discovery of information who may be existing or potential future customers. By the end of this report I aim to make it clear the advantages of incorporating these tools and techniques within the business, and the benefits that will be seen. Business Intelligence Business Intelligence (Business Intelligence , 2007) is a collection various technologies and tools which are used for collecting, organizing and analysing data and information, and then providing the user with the information in a form which will help them with making business decisions. There are 3 major parts to business intelligence Reporting, Integration and Analysis. Reporting is essentially the creation and use of reports, while integration is about taking da ta from a source and being able to modify it to fit another purpose and data source. Finally, Analysis is the producing and organizing structures that have been filled with data taken from a separate source, commonly tools such as OLAP (OLAP, n.d.) (Online Analytical Processing) are used in order to achieve this. This process if often referred to as Data Mining. Using Business Intelligence has numerous advantages and is something that every company should consider using. One of its most obvious advantages is that it can help show trends and correlation in statistics (E.G user activity, sales, and complaints) and this can then be used by businesses in order to improve. Another considerable advantage of using Business Intelligence is also the reliability of the presented information and allows for relatively accurate prediction which greatly improves planning. Although it should be noted that there are some disadvantages to using Business Intelligence, this is that the historical data that is recorded needs to be stored somewhere, and this takes up more memory, which not only means more cost in storage, but also a speed reduction as there will be a huge amount data to be analysed. Another notable disadvantage is the potentially high initial cost, as well as maintenance cost, and although these costs should pay for themselves with improved decision making there is a possibility of the investment not paying off. There are not many disadvantages to using business intelligence, but they should still be taken into consideration. (Disadvantages of Business Intelligence, n.d.) A good example of business intelligence being used by other recognisable companies is that Netflix (Business Intelligence, 2015), the online media streaming service, using this system of business intelligence to work out which shows will be popular, and which of their categories may need a little reworking. This gives them the information they need to stay ahead of the curve and to make sur e the shows that remain on the site are popular. Datamining algorithms With computers being used more and more within businesses, the information that the business needs to function is also stored on these computers (E.G Sales records, customer information etc.) so the ability to scan and analyse these massive amounts of information is incredibly beneficial to not only making business based decisions, but to predict sales trends or areas in need of improvement. There are a wide range of different Data Mining algorithms available to use, the ones discussed here will be the Decision tree, Bayesian Classification as well as K-Means. I have chosen to discuss and compare these 3 as they are quite different in how they operate.    One of the most commonly used Data Mining algorithms is the Decision Tree (Decision Tree Algorithm, n.d.), at the top of the decision tree we have a Root, which is essentially a check on an attribute, and from there the answers to the check make the bran ches. The leaves of the tree are in fact formed from each class label. The advantages of using this algorithm compared to the others is that in order to function it requires to prior knowledge of the domain, the other huge advantage which makes an attractive solution is that it is also very easy to follow and understand compared to more complex algorithms. The complexity for this algorithm can be worked out by the number of leaves that the decision tree has. This algorithm is often called ‘Supervised Learning’, this basically means that the data is already labelled within classes. ( Image taken from ( http://www.saedsayad.com/decision_tree.htm (Decision Tree Algorithm, n.d.) ) The second mostly commonly used algorithm for Data Mining is known as Bayesian Classification (Bayesian Classifcation, n.d.), this algorithm effectively works via predicting the probability that a pattern or set of information belongs to a specific class. This algorithm is often favoured am ong the Data Mining techniques for its efficient results, although it needs to be taken into consideration that if the data is highly random then another algorithm would be preferred over the Bayesian Classification. It is also not recommended to use this algorithm with small data sets as this came mean a very low precision as well as recall. Although this algorithm might seem simple, it’s also highly accurate and is used often in filtering software (email spam, language filters). This algorithm is a supervised learning, as the user provides it with an already labelled dataset. The third algorithm which should be considered for the Crowd Funding System is ‘K-Means’ (k-means, n.d.). This algorithm works by creating groups based on the set of objects this results in the in the members of the group more similar, this algorithm is often referred to as ‘Cluster Analysis’. ‘Cluster Analysis’ is a collection of different algorithms which all follow the same pattern (Clusters, n.d.). The pattern being that they create groups (or clusters) in a way which means that the cluster members are much more similar as opposed to non-grouped members. This is not quite unsupervised nor supervised learning, this is because the user states the number of clusters needed, but it still features unsupervised learning as well as the algorithm learns where the cluster belongs without the user needing to provide it with any more information. I’ve compared 3 algorithms, a decision tree based one, a clustering based one and a naà ¯ve one. My recommendation for use with the Crowd Funding Software would be the Decision Tree, this is for a number of reasons, the first being that it’s extremely easy to follow, even by someone who has no prior knowledge to the algorithm. Also because it’s easy to follow and understand it’s also easy to maintain and tweak it depending on the circumstance. Another major reason that I wo uld chose decision tree is that they work quickly as well being non-parametric. Non-parametric means that the algorithm doesn’t need specific data distribution in order to function. Data-mining advantages and disadvantages The main advantage of using Data-Mining for the Crowd Funding System would be that it could use ‘Affinity Analysis’ (Affinity Analysis, n.d.), this is basically a scan off all the customers previous shopping history and then be able to advertise to them directly. This applies to the Crowd Funding System as we can use data mining to find out what projects a customer prefers and then advertise those projects directly to them. (E.G If a particular user often supports Gaming Software projects on the webpage, then we can use this information to have all Gaming Software projects as the top hit on their home page.) Affinity Analysis can often be used to detect fraud, which is useful for any company. Another advantage that this business can gain fr om Data Mining is Customer Segmentation, this is the process of breaking the customers down into smaller group based on say age, occupation or even gender. The advantage of doing this is that you can then target your advertisement to people who will be highly interested, and the more effective the advertising the more money people will donate to the projects. This applies directly to the Crowd Funding Systems first example, using this customer segmentation the film writer / director will be advertise her project to all her previous fans, or even people who are interested in that genre, this will mean she can reach a much more interested user base. The other huge advantage of Data Mining that can be applied to the CFS is that it can help to achieve Sales Forecasting, this is exactly what it sounds like, and it uses previous sales records to relatively accurately provide predictions for future sales. This can be used by the system for the second example the Kinect mobile phone battery , if they can predict how many donations the project is going to get they can either boost its advertisement, or perhaps communicate with the user that previous similar projects haven’t been able to reach their goal or at least direct them where they went wrong. One of the concerns the current business has is damage to its reputation, using data mining techniques they will be able to not only boost their donations and improve their advertisement, but also be able to learn more from the customers, and this can only be beneficial for the company. Donor exhaustion was also on the companies list of concerns, but data mining will be able to prevent this because it can be used to keep track of what advertisement has been sent to who, and what projects they are likely to bid on, so routinely changing the projects they are advertised will keep the users hopefully interested. CRM CRM stands for Customer Relationship Management (CRM, n.d.) And is used by businesses to keep their customers happy, it uses data mining techniques in order to get feedback and improve on their products constantly. The data mining algorithms discussed earlier are extremely useful for gathering and analysing information and data about customers and opinions on projects. We can then use this information to make improvements or changes where they are needed, and this will greatly increase customer satisfaction as customers will be able to see the changes they wanted. Although it is recommended to only try this with a vast amount of data, and huge amount of transactions. As smaller amounts of data can provide in accurate information. Using CRM will greatly improve the Crowd Funding Company’s reputation and mean they have a lot more satisfied donors. Conclusion In conclusion I strongly recommend that the crowd funding system decides to include data mining algorithms. It has a long list of advantages including sales prediction, improved advertisement, and mostly importantly i mproved customer satisfaction. I would also highly recommend the use of the decision tree algorithm as it’s easy to follow and can easily be modified depending on the information that needs to be collected. It should be noted that choice of data source is important, as some of them may provide useful information, but there are quite a few that should be ignored.   CRM should also be taken into consideration, as using this software has proven to greatly improve the publics opinion of a business. A modern business can’t afford not to use these data mining techniques, as failure to utilize these tools will mean a huge disadvantages against its competitors. The more information that can be collected from this companies customers, the more value the company can provide them, and the happier the customer the more donations that will be made. References Affinity Analysis . (n.d.). Retrieved from https://en.wikipedia.org/wiki/Affinity_analysis Bayesian Classifcation . (n.d.). Retrieved from https://www.tutorialspoint.com/data_mining/dm_bayesian_classification.htm Business Intelligence . (2007, March 6). Retrieved from http://www.cio.com/article/2439504/business-intelligence/business-intelligence-business-intelligence-definition-and-solutions.html Business Intelligence . (2015, Febuary 26). Retrieved from http://businessintelligence.com/big-data-case-studies/data-driven-proof-netflix-needs-buy-blockbuster/ Clusters . (n.d.). Retrieved from https://en.wikipedia.org/wiki/Cluster_analysis CRM . (n.d.). Retrieved from http://searchcrm.techtarget.com/definition/CRM Decision Tree Algorithm . (n.d.). Retrieved from http://www.saedsayad.com/decision_tree.htm Disadvantages of Business Intelligence . (n.d.). Retrieved from http://business.mapsofindia.com/business-intelligence/disadvantages.html k-means . (n.d.). Retrieved from https://en.wikipedia.org/wiki/K-means_clustering OLAP . (n.d.). Retrieved from http://olap.com/olap-definition/ S tar Schema Notes The use of BLOB is so that the users can store there video sales pitches within the database, after some research I realised there wasn’t a dedicated media storage format and instead have to suffice story it in binary.

Thursday, February 13, 2020

Cultural Diversity in the Public Sector Research Paper

Cultural Diversity in the Public Sector - Research Paper Example Not that the phrase ‘culture’ was not clarified, but ambiguities and dissimilar opinions began to turn up. It was in the year 1980, when Rappaport defined culture as â€Å"†¦a part of the distinctive means by which a local population maintains itself in an ecosystem and by which a regional population maintains and coordinates its groups and distributes them over the available land.† (233) Now that we have been provided with a verified characterization of culture, the question that still arises is â€Å"What does culture mean to US?† Everybody might have dissimilar responses, but collectively, the norms and traditions of living which have been passed down by our ancestors form our culture. When studying Sociology we can perceive that the term culture holds grand importance when referring to the society and its nature. Hence, the cultural nature of the society can be understood by studying its relation with the individuals who form it. What is ‘cul tural diversity’ or ‘cultural disparity’? Being an aggregate, it would be difficult for any society to grasp the answer, because when a mass of individuals (dependant/ independent) join together there ought to be a discrepancy in the outlook and beliefs, but if we review the previous expression we can discern that it itself is the answer to the former question. Therefore, culture diversity can be characterized as ‘the state of sheer conflict amongst different (sub) cultures of a civilization on the basis of language, customs, beliefs, ideas, norms and values. Cultural disparity is also known as racial or ethnic disparity. The two basic ingredients which shape a society and its components include the government (which wheels the societal set up and management) and the public sector (which practices the system provided by the regime). Hence, when people belonging to various cultural backgrounds begin holding and practicing their very own cultural ideals and b ecome badly informed of the reciprocal correspondence they have with other people, within the society and the organism of government, cultural diversity is at its dawn and it widens. For this reason, Stephen Tierney has also named this dilemma as ‘Multiculturalism’ or ‘Cultural Pluralism’ as he explains that the common factor which the struggles of this problem have is that ‘they reject earlier models of unitary, homogenous nation-state.’ (17) To understand the validity of cultural diversity in the public sector, we better comprehend the relationship between culture and the public sector, foremost. Culture and the public sector share a reciprocal relationship. This give-and-take relationship works with the mechanism that when a cultural reform or change is brought in the society, the rate of acceptance of change increases whereas when a cultural conflict begins to grow the pace of keenness and deliberateness decreases in the society and an unre st is up heaved in all aspects of the society i.e. economic, political, religious and most importantly institutional. â€Å"Culture is the product of learning, rather than of heredity†, says George Peter Murdock (113). Therefore, the problem of cultural diversity depends majorly on the fact how the society adapts to it and how it demands its solution, as this problem is not only developed by the socio cultural conflict but also due to many other un-proportionate reasons. This may or may not include the institutional environment, social stratification, political set up also the intra-cooperation techniques and many other facets to be laid. Cultural diversity leads a society towards havoc and devastation as it causes extreme unrest in the public sector. Following are the effects and their details, of cultural diver

Saturday, February 1, 2020

COMMUNITY HEALTH & POPULATION-FOCUSED NURSING Research Paper

COMMUNITY HEALTH & POPULATION-FOCUSED NURSING - Research Paper Example These and many other distinguishing attributes of community health nursing have evolved in the framework of philosophical and historical contexts on the preventive health care, health as well as professionalization of the nursing industry (Allender & Rector, 2010). More specifically, these roles involve many partnerships and collaboration within populations and communities in order to address the social and health conditions as well as any arising challenges. It is important to realize that community health nursing has developed in the recent past as a special nursing specialty in the time when much expansion in scientific knowledge has been taking place. Additionally, the field has developed because of the public objectives aimed at improving the standards and quality of life in urban environments, giving rise to various aspects of preventive health care that is population oriented. For a long time, public nurses had been viewed as playing a significant role towards achievements in improvements of the social and health conditions of most of the vulnerable populations. This paper examines the aspect of community health nursing in Alameda city of Alameda, focusing on how it has been used in improving the health standards of the inhabitants in the region. In Alameda, community health nursing has been responsible for the improved health and social conditions according to research findings. In this community just like in other places, community health nursing has been applied in various setting, not being limited to centres in charge of community nursing , health agencies in homes, housing developments, neighboring centres among many others. In Alameda, the most vulnerable and high-risk populations, in most cases become the centre of focus when it comes to caring and includes the elderly persons that are frail, homeless

Friday, January 24, 2020

Analysis of Descartes’ Mind/Body Distinction Essay -- Descartes Medit

In his Meditations on First Philosophy, Descartes states â€Å"I have a clear and distinct idea of myself, in as far as I am only a thinking and unextended thing, and as, on the other hand, I possess a distinct idea of body, in as far as it is only an extended and unthinking thing†. [1] The concept that the mind is an intangible, thinking entity while the body is a tangible entity not capable of thought is known as Cartesian Dualism. The purpose of this essay is to examine how Descartes tries to prove that the mind or soul is, in its essential nature, entirely distinct from the body and whether or not he is successful. While I agree with his theory that the mind and body are distinct, I do not believe the mind is non-extended and I do not agree with Descartes’ assertion that the mind is capable of existence beyond the body. One of the ways in which Descartes attempts to prove that the mind is distinct from the body is through his claim that the mind occupies no physical space and is an entity with which people think, while the body is a physical entity and cannot serve as a mechanism for thought. [1] I believe most of this portion of his position to be true. The body quite certainly has a physical presence and is not capable of controlling or thinking for itself. I begin to disagree with Descartes’ theory at the point where he states that the mind is non-extended. The mind is assuredly capable of thought, as Descartes states, and has intangible elements in the form of memories and personality characteristics; however, I believe that the mind is an extended entity because physical matter is required for these elements to exist. In my opinion, this means that the only logical conclusion is that the brain is the physical extensi... ... ceases to function. Descartes makes very interesting points on the differentiation of the mind and body in Meditation on First Philosophy. His position on the body being a strictly physical entity while the mind is not is a superb point of reasoning that can be applied on many different levels with many different results. Overall, I believe that there are some areas of Descartes’ position that could be modified or expanded upon given what has been learned about the brain through modern science. Nonetheless, given the knowledge available during his lifetime, I believe that Descartes is generally successful in proving his viewpoint to be the correct one. Works Cited [1] Descartes, Rene. Meditations on First Philosophy. 1641 [Translated by John Veitch (1901)] Meditation 6, http://www.classicallibrary.org/descartes/meditations/9.htm

Wednesday, January 15, 2020

Police Personality Revision Essay

A good police work lies on the concept of their personalities taking into consideration their traits hand in hand with their socializations and experiences. These decisive factors basically comprise what ideal personality of a police is necessary in order to completely exemplify their tasks. Perhaps, it is imperative to give emphasis on the notions of police character to give a strong hold on this subject matter. At any rate, there were instances that conflict arises as police render their services. â€Å"Part of this reflected broader social conflict over the just and equal distribution of opportunities and legal protections to all people; other sources of conflict included disparities between the symbolic role of the police, everyday social expectations about police services and behavior† (Vila & Morris, 1999). There is indeed a unique trait that flows in the blood of every police such as dedication, bravery, and conviction. The uniqueness of police’s trait can never be gamble away. Police’s compassion to the welfare of their people is on top priority. They are willing to surrender even their own lives in order to defend the people. It is tough but they chose to risk everything for the sake of their profession. Thus, this is the one that fulfills their personality; to serve the people at all costs. On the other note, socializations and experiences are important tools to be able to epitomize their character properly. Apparently, the police needs to know how to communicate with the people as well as to know how to address their demands in order to properly portray their roles. Socialization and experience are indispensable contrivance that makes the attitude of a police. They will be able to serve pertinently due to the fact that they have enough experiences. â€Å"What is important about socialization, then, is that people learn to behave according to the expectations of their culture and transmit that way of life from one generation to the next† (Kenney & McNamara, 1999). Weighing these two elements that encompass the personality of a police, it is on a certain note that their unique traits make them more trustworthy on their chosen field. It is in these traits also that they detached their profession far beyond all other field. â€Å"The profession is a moral unit positing certain values and ideals which guide its members in their dealings with laymen. This guide may be a set of unwritten norms transmitted through the professional educational system or it may be codified into written canons of professional ethics† (Glenn et al., 2003).   Certainly, as they socialized and experienced a lot of circumstances, it all boils down on having a good persona – unique trait – which make them build rapport with a lot of people in town and which also gives them the pride for the people to respect them and their line of work. Reference:    Glenn, Panitch, Barnes Proby, Williams, Christian, Lewis, Gerwehr & Brannan (2003). Training the 21st Century Police Officer: Redefining Police Professionalism for the Los Angeles Police Department. Rand    Kenney, dennis Hay & McNamara, Robert P. (1999). Police and Policing: Contemporary Issues. Praeger Vila, Bryan & Morris, Cynthia (1999). The Role of Police in American History. Greenwood Press

Tuesday, January 7, 2020

Starbucks A Brand Company Essay - 931 Words

A company that I frequently visit on a semi-regular basis is Starbucks. Starbucks is a popular company that is recognized internationally and specializes in premium roast coffee, as well as other beverages. Starbucks, according to The Richest, is currently the power house of the coffee world. They are not only known for selling high quality coffee, but also providing an inviting atmosphere with good music and comfortable seats. Starbucks’ mission is, â€Å"to inspire and nurture the human spirit one person, one cup and one neighborhood at a time†. The company’s success can be credited to this distinctive mission. The Starbucks story began in 1971 in Washington when it opened its first store in Seattle’s Pike Place Market. The company is named after the first mate in Moby Dick. Their logo is inspired by the sea. The lady that is the Starbucks logo is actually not an ordinary lady, it is a twin-tailed siren from Greek mythology. Back then, they were retailers of whole bean and ground coffee. As well as tea and spices. In 1981 Howard Schultz, the chief executive officer and chairman of Starbucks today, had his first cup of Starbucks coffee and was speechless. A year later he started working there. In 1983 Schultz went to Italy and was fascinated with the coffee bars there and just the experience. His main vision was to eventually bring the Italian coffeehouse legacy back to the United States. He envisioned a place where people could go for conversation and a sense of community. AShow MoreRelatedTarget Market Segments1229 Words   |  5 Pagesdifferent market segmentations that Starbucks coffee has targeted to establish its brand equity in the industry. First of all, Starbucks coffee’s demographic segmentation targets men and women in between the age of 25 to 40 years old. (Huff Post, 2013) However, later on the company decided to modify its segmentation to also target students. 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