Management at Stamford Hospital

Presentation Stamford Hospital is one of the main emergency clinics in social insurance arrangement in Stamford and across Connecticut. The medical clinic is a charitable association and it has been in the business for over 100 years. Stamford Hospital is said to have made around 2300 openings for work for human services suppliers (Stamford Hospital, 2014). Its vision is to offer quality human services administrations to its patients.Advertising We will compose a custom exposition test on Management at Stamford Hospital explicitly for you for just $16.05 $11/page Learn More The emergency clinic utilizes new innovation in its activities and it is one of the Planetree Alliance part medical clinics. The Planetree Alliance individuals are obliged to give understanding focused administrations, and this attestation implies that all individuals must concentrate on augmenting their patients’ fulfillment. The clinic offers clinical types of assistance in territories, for example, disea se treatment, cardiovascular administrations, orthopedics, and general wellbeing (Stamford Hospital, 2014). Stamford Hospital is an accomplice of the New York-Presbyterian Healthcare System and a key preparing accomplice of the Columbia University, which offers clinical courses. The medical clinic has a representative advancement program that principally centers around furnishing laborers with the correct aptitudes to accomplish its corporate objectives (Stamford Hospital, 2014). The clinic recorded its first positive net revenue in 2004 and from that point forward it has posted promising outcomes on its budgetary records. The hospital’s accomplishment in the previous not many years has been ascribed to acceptable administration. This paper will dissect the company’s the board, evaluate the holes in the administration, and give a few proposals to future improvement. Employees’ profession advancement open doors For chiefs and other faculty to achieve their obliga tions and accomplish a corporation’s objectives, training program is important to furnish them with aptitudes to deal with new difficulties that surface throughout executing their obligations (Frampton Charmel, 2008). Also corporate culture gets outdated with time, and in this manner a corporate culture that was fruitful at one point may not be powerful at later on (Newmark, 2006). All together for a business to accomplish its corporate objectives, profession advancement ought to be grasped. Chiefs ought to be well furnished with the fundamental aptitudes and specialized ability to deal with various circumstances. At Stamford, a non-discriminative preparing program is set up to offer lifetime preparing to chiefs and other staff individuals (Heuer, 2004). The program depends on the corporate culture of the association and it generally centers around new worker direction, new supervisor direction, and other staff advancement preparing among others (Stamford Hospital, 2014).Adve rtising Looking for exposition on business financial aspects? How about we check whether we can support you! Get your first paper with 15% OFF Learn More New staff enlistment in the emergency clinic is finished by the HR division, which is made out of specialized staff in the region of staff the board. The medical clinic considers the two aptitudes and the capacity of an individual staff to fit in the corporate culture inside which the organization is set up. Likewise, the clinic evaluates the capacity and mentalities of the applicant towards collaboration, responsibility, and regard for other staff individuals and patients (Stamford Hospital, 2014). The previously mentioned factors considered during the employing procedure guarantee that solitary the correct staff individuals join the hospital’s workforce, this prompting expanded patient fulfillment. The significant parts of the preparation program are talked about underneath. New Employee Orientation The emergency clinic th e executives furnishes each new staff with a 3-days preparing that focuses on the idea of the corporate culture in the association. The program empowers new workers to comprehend the soul in the association combined with setting them up for their new errands. Moreover, new representatives get firsthand data on the hospital’s mission, vision, and qualities. Given that Stamford Hospital works under the Planetree reasoning of patient-focused consideration, the 3-days direction program helps the new staff individuals to comprehend the organization’s significant objective, which is to guarantee understanding fulfillment and the job they owe the medical clinic with respect to the achievement of that objective (Heuer, 2004). The program additionally acquaints the new staff individuals with the code of morals that controls each representative in the organization. This viewpoint is urgent since it characterizes the â€Å"dos† and â€Å"don’ts† in the associ ation. The general consequence of the direction program is that it brings all the staff individuals together to fill in as a group in an offer to accomplish a shared objective (Daft Marcic, 2005). The direction program is significant since the workers are drawn from various social and strict foundations, and subsequently it invites the new staff to the organization and builds up a bond between them. New Manager Orientation The achievement or disappointment of an undertaking relies upon the administration (Frampton Charmel, 2008). Then again, poor administration prompts a business’ disappointment while great administration prompts success.Advertising We will compose a custom paper test on Management at Stamford Hospital explicitly for you for just $16.05 $11/page Learn More Stamford Hospital knows about this view and in this manner it has presented a â€Å"new director preparing program, which furnishes new supervisors with a general diagram of the hospital’s HR approa ches and methodology, financial plans, corporate consistence, and Kronos timekeeping† (Stamford Hospital, 2014, par.17). Through the program, new supervisors meet and cooperate with other new and ranking directors and participate in an open conversation where every individual gets an opportunity to contribute their thoughts. Normal evaluation of the new supervisors is accomplished for a time of one year in an offer to guarantee that deficiencies and deviations are identified in time. The Leadership Academy This program is â€Å"only open to pioneers and supervisors from various levels in the organization† (Stamford Hospital, 2014, standard. 18). The program targets enhancing the administration abilities previously controlled by the pioneers with some new aptitudes with the sole point of expanding their effectiveness. The program takes in study hall work in fields that identify with vital administration and it focuses mostly on expanding execution combined with restricti ng directors from various levels so as to accomplish the corporate objectives. Preparing is offered under the watch of the hospital’s staff individuals if not redistributed (Newmark, 2006). The point of the preparation might be key objective arrangement, ability maintenance, cooperation, wellbeing work relations, inspiration, and visionary initiative among others (Frampton Charmel, 2008). Web based Training notwithstanding the previously mentioned courses, the medical clinic additionally offers online courses to its workers. The courses that the medical clinic offers to its staff individuals through the new innovation incorporate sexual harassing, corporate quiet submission, taking care of crisis cases, tolerant prosperity, and social decent variety among others. Staff Development preparing This program targets creating abilities and skill among the lesser staff individuals. The program offers courses intended to improve the employees’ aptitudes combined with boosting their activity fulfillment. The courses are structured so that they address changes in the business condition so representatives are adaptable enough to handle difficulties that emerge in their line of obligation (Daft Marcic, 2005).Advertising Searching for paper on business financial aspects? How about we check whether we can support you! Get your first paper with 15% OFF Find out More This program is constant and it runs all through the employee’s residency in the medical clinic on covering territories recognized as basic to flourishing execution (Frampton Charmel, 2008). All workers are urged to try out representative strengthening courses, which are open to all individuals. Courses, for example, peace making and correspondence are offered in this program. Overseeing staff turnover The medical clinic has a supporting project for approaching attendants known as the Graduates Engaged Mastering Succeeding (GEMS) program (Heuer, 2004). ‘GEMS’ is a multi week program and targets guaranteeing fruitful progress of new medicinal services experts into the workplace. All through the 12 weeks, the medical attendants are prepared on the hospital’s strategies and methods. Each medical attendant is allocated an accomplished tutor who guides the person in question through the direction procedure. The program guarantees smooth progress from a simple un derstudy to a rehearsing medical attendant. When recruited, a medical attendant is under commitment to select for a BSN degree program inside the main year of administration in the clinic (Newmark, 2006). The course continues for a long time after which the medical caretaker will be exceptionally learned and skillful. The coaches keep on managing the medical attendants considerably after the direction time frame. Such help gives a motivating force to able medical caretakers to stay in the clinic. Likewise, the emergency clinic additionally offers serious compensation to its staff contingent upon the position held. The significant salary and representative advancement programs received by the organization give motivating forces to staff individuals to stay in the medical clinic, along these lines holding the best workers. Incidental advantages are additionally offered to the staff planned for expanding their resolve and inspiration. Outpatient versus inpatient benefits In the ongoing past, the Stamford Hospital’s the board has moved its concentration from putting resources into inpatient to outpatient offices (Stamford Hospital, 2014). The purpose for this new improvement is that innovative progressions have described the wellbeing area, accordingly improving careful medicines. This viewpoint has prompted an abatement in

Final Test Essay Example | Topics and Well Written Essays - 500 words

Last Test - Essay Example The impact of this is the peruser doesn't get a sort of â€Å"whiplash† when managing the exchanging subjects that the creator tries to uncover. In any case, the general shortcoming of such a methodology is the way that the writer doesn't have a wide enough topic so as to draw in the peruser with an undifferentiated story approach, for example, the one that has been utilized without gambling dwelling on the point and losing the consideration of the peruser. In spite of the fact that the topic is in any case entrancing, it is hard to clutch the contentious story with such a constrained and shallow hold upon a limited part of the topic. The third book, Sizwe's Test, utilizes a blended style of contention that is concentric upon both counter and definition. By methods for utilizing such a methodology, the writer can connect with the peruser by bringing up key issues in regards to the degree of the AIDs quandary in S. Africa while simultaneously offering an answer for the methods by which the malady can't be eased back or halted to a more noteworthy degree. As opposed to endeavoring to characterize the issue and contend for a given result, the creator tries to characterize the issue and afterward invalidate the manners by which the illness has been as of now took care of. As an element of this, a far more prominent and progressively successful contention is drawn and the peruser can increase important knowledge into the ailment as it exists just as endeavoring to comprehend subtleties that would some way or another be darkened by a great part of the disinformation.

RECOVERY OF PLATINUM GROUP METALS (PGMs) FROM SCRAPPED FUEL CELLS Research Paper

Recuperation OF PLATINUM GROUP METALS (PGMs) FROM SCRAPPED FUEL CELLS - Research Paper Example Energy unit innovations are the most engaging alternatives to oil unwavering quality. Power device discharges no toxins and as a general rule radiate unadulterated water accordingly. In spite of the fact that specialists are concentrating on making hydrogen from sources, for example, petroleum gas for the short-pull, the hydrogen program has systems to focus on sustainable, biologically innocuous methods for delivering hydrogen later on. Profoundly trustworthy force is basic to numerous undertakings just as private social orders. The United States loses $29 billion years from PC glitches as a result of intensity power outages. Data focuses, banks, emergency clinics in the midst of others all rely upon relentless force that is accessible almost 100 percent. Many Fuel Cells work on hydrogen and all will continue to deliver power insofar as oil is provided. In any case, the wellspring of the hydrogen doesn't make a difference in many power devices. Since energy components do require to be associated with the electrical plot, they are an assortment of dispersed creation that licenses to move away from contingent upon high voltage focal force creation, which is vulnerable to assaults and normal catastrophes (Sorensen 22-45). An energy component working on unpolluted hydrogen discharges zero outflows at the source. Different fixed power modules utilize natural gas or hydrocarbons as hydrogen feedstock. By and by, these uses create far lesser outflows than conventional force stations. Established on processed data, a fixed power module power plant creates minimal short of what one piece of masses for every kilowatt-long periods of vitality produced. Conventional start delivering innovations produced twenty-pounds of outflows for a similar proportion of vitality. Toxins from power modules are least to the point that different locales of the U.S. have given special case energy components from air allowing guidelines. Energizes cells have a long-standing notoriety that t heir limit clamor contamination. Since power devices don't rely upon start and not many moving segments, they are extraordinarily quiet. The main sound they make arrives at around 60 decibels, the volume of a prototype discussion. Since commotion emanations are everything except killed, power devices can be situated at home or out-of-entryways without being meddling. Besides, energy component electric vehicles are the scarcest of all vehicles sorts that utilization fuel legitimately, discharging zero toxins during use. Then again, energy units could be used as advantageous force units to control climate control systems adornments. Since power modules produce power electrochemically, and don't combust fuel, they are basically more profitable than start strategies. Power module technique right now achieves 40-half fuel-to-vitality profitability using hydrocarbons fills, for example, s gaseous petrol. At the point when an energy unit is situated adjoining the purpose of power usage, as in some fixed applications, the waste warmth taxi be tapped for coproduction (Srinivasan, 13-46). An energy unit is an electrochemical machine that blends oxygen and hydrogen to create power. For the most part, water and warmth are its result. In its easiest nature, a singular fuel involves two terminals, including an anode and a cathode with an electrolyte among them. Hydrogen then again synthetically responds with an impetus at the anode. It is through this concoction response that a supporter goes through the electrolyte, while the electron moves by means of a circuit, creating a

Essay Writing Tips - How to Write a Supplemental College Essay

Essay Writing Tips - How to Write a Supplemental College EssaySupplemental college essays are an important part of your college admissions process. They should also be fairly easy to write, and do not require an enormous amount of research. So how do you write one?The first thing to remember when writing college admissions essays is that they are not always a must. Students who have high grades and letters of recommendation, but have shown no real interest in the school or even tried to contact the college can often fill out these forms and just submit them without any essay. Still, they can be helpful. They give the college a little background on the student.Most college admissions essays are not essay competitions and should therefore be a relatively short piece. A supplemental college essay, by comparison, will likely take longer to complete, and more research may be necessary to find the right wording for this type of material. It will also probably require more advanced research skills as well.When looking at how to write a supplemental college essays, try to keep the tone of the writing in mind. It is usually a slightly more serious look at the student's reasons for applying to the college, as opposed to a regular college essay where the writer is simply looking to prove their worthiness. It is usually done in a way that does not make the essay seem too hard or too easy.As with a regular college essay, essay writers often take a little extra time to help the college to see what a student has to offer. They may do some further research or ask a few questions of the student about what they found interesting. Also, they might suggest specific areas where the student can improve upon or do better in, depending on the student's needs. Again, this type of material is generally only recommended if the student is serious about getting into the college.Supplemental college essays are often done for an award from a club or other outside group. These essays are writ ten based on a similar format as that used in the regular college essay. One or two topic areas will be the focus of the essay. Topics could include a favorite hobby, someone special that the student has met, an academic achievement, or something that is significant to the student's work in the year.Also, supplemental college essays are often used for essay competitions. These are a way to test one's writing skills in a more advanced manner. With essay competitions, one is competing against a variety of other writers, as opposed to just a single reader or teacher. This means that one should definitely devote some extra time and effort to writing a good composition.Finally, supplemental college essays are a way for a student to get into a college they would not otherwise be able to attend. It is the last piece of the admissions puzzle. When writing a college admission essay, it is a good idea to think about the reasoning behind why the student would want to attend the college in the first place.

Whats trending My Computer Vision final project

What’s trending My Computer Vision final project The last couple weeks of my fall semester were almost entirely consumed by my final project for 6.869: Computer Vision. So I thought I would share with you guys what me and Nathan, my project partner came up with! For those of you who aren’t familiar, Computer Vision is the study of developing algorithms resulting in the high-level understanding of images by a computer. For instance, here are some questions you might be able to solve using computer vision techniques, all of which we tackled on our psets for the class. Given a simple natural image, can you reconstruct a 3-d rendering of the scene? On the left: a picture of a simple world comprised only of simple prisms with high-contrast edges on a smooth background. On the right: a 3-d representation of the same world. Given several images that are of the same scene but from different angles, can you stitch them together into a panorama? On the left: original photos from the same landscape. On the right: the same photos stitched together into a single image.   Given an image of a place, can you sort it into a particular scene category? This was actually the focus of an earlier project we did for this class. The project was called the Miniplaces Challenge. We were given 110k 128 x 128 images, each depicting a scene, and each labeled with one of 100 categories. We used these examples to train a neural network that, given a scene image, attempted to guess the corresponding category. Our network was able to attain 78.8% accuracy on the test set. If you’re interested, our write-up for the project can be found here! The ground-truth categories for these scenes are, clockwise from the top left: bedroom, volcano, golf course, and supermarket.   For the final project, our mandate was broad: take our ingenuity and the techniques that we had learned over the course of the class and come up with a project that contributes something novel to the realm of computer vision. There were some pre-approved project ideas, but my partner and I decided to propose an original idea. I worked with Nathan Landman, an MEng student from my UROP group. We wanted to work on something that would tie into our research, which, unlike a lot of computer vision research, deals with artificial, multimodal images, such as graphs and infographics. We decided to create a system that can automatically extract the most important piece of information from a line graph: the overarching trend. Given a line graph in pixel format, can we classify the trend portrayed as either increasing, decreasing, or neither? The challenge: identify the trend portrayed in a line graph   Line graphs show up everywhere, for instance to emphasize points in the news. Left: a graph of the stock market from the Wall Street Journal. Right: a stylistically typical graph from the Atlas news site.   This may seem like a pretty simple problem. For humans, it is often straightforward to identify if a trendline has a basically increasing or decreasing slope. It is a testament to the human visual system that for computers, this is not a trivial problem. For instance, imagine the variety of styles and layouts you could encounter in a line chart, including variations in color, title and legend placement, and background, that an automatic algorithm would have to handle. In their paper about Reverse-engineering visualizations, Poco and Heer  [1] present a highly engineered method for extracting and classifying textual elements, like axis labels and titles, from a multimodal graph, but do not attempt to draw conclusions about the data contained therein. In their Revision paper, Savva, Kong, and others [2] have made significant progress extracting actual data points from bar and pie charts, but not line graphs. In other words, identifying and analyzing the actual underlying data from a li ne graph is not something that we were able to find significant progress on. And what if we take it one step further, and expand our definition of a line graph beyond the sort of clean, crisp visuals we imagine finding in newspaper articles? What if we include things like hand-drawn images or even emojis? Now recognizing the trendline becomes even more complicated. The iPhone graph emoji, as well as my and Nathans group chat emoji. But wait…why do I need this info in the first place?   Graphs appear widely in news stories, on social media, and on the web at large, but if the underlying data is available only as a pixel-based image, it is of little use. If we can begin to analyze the data contained in line graphs, there are applications for sorting, searching, and captioning these images. In fact, a study co-authored by my UROP supervisor, Zoya Bylinskii, [3] has shown that graph titles that reflect the actual content of the chart â€"i.e., mentions the main point of the data portrayed, not just what the data is aboutâ€"are more memorable. So our system, paired with previous work on extracting meaningful text from a graph, could actually be used to generate titles and captions that lead to more efficient transmission of data and actually make graphs more effective. Pretty neat, huh? First things first: We need a dataset   In order to develop and evaluate our system, we needed a corpus of line graphs. Where could we get a large body of stylistically varied line graphs? Easyâ€"we generated it ourselves! Some example graphs we generated for our dataset, and their labels.   We generated the underlying data by taking a base function and adding some amount of noise at each point. Originally, we just used straight lines for our base functions, and eventually we expanded our collection to include curvier shapesâ€"sinusoids and exponentials.  Using Matplotlib, we were able to plot data with a variety of stylistic variations, including changes in line color, background, scale, title, legend…the list goes on. Examples of curvier shapes we added to our data set. Using this script, we generated 125,000 training imagesâ€"100,000 lines, 12,500 sinusoids, and 12,500 exponentialsâ€"as well as 12,500 validation images. (“Train” and “validation” sets are machine learning concepts. Basically, a training set is used to develop a model, and a validation set is used to evaluate how well different versions of the model work, after the model has already been developed.) Because we knew the underlying data, we were able to assign the graph labels ourselves based on statistical analysis of the data (see the write-up for more details). But we also wanted to evaluate our system against some real-world images, as in, stuff we hadn’t made ourselves. So we also scraped (mostly from carefully worded Google searches), filtered, and hand-labeled a bunch of line graphs in the wild, leading to an authentic collection of 527 labeled graphs. Examples of images we collected (and hand-labeled) for our real-world data set. We hand-label so machines of the future don’t have to! Two different ways to find the trendline We were curious to try out and compare two different ways of tackling the problem. The first is a traditional, rules-based, corner-cases-replete approach where we try to actually pick the trendline out of the graph by transforming the image and then writing a set of instructions to find the relevant line. The second is a machine learning approach where we train a network to classify a graph as either increasing, decreasing, or neither. Each approach has pros and cons. The first approach is nice because if we can actually pick out where in the graph the trendline is, we can basically reconstruct a scaled, shifted version of the data. However, for this to work, we need to place some restrictions on the input graphs. For instance, they must have a solid-color background with straight gridlines. Thus, this approach is targeted to clean graphs resembling our synthetically generated data. The second, machine-learning approach doesn’t give us as much information, but it can handle a lot more variation in chart styling! Anything from our curated real-world set is fair game for this model. Option 1: The old-school approach A diagram of the steps we use to process our image in order to arrive at a final classification. Here is a brief overview of our highly-engineered pipeline for determining trend direction: Crop to the actual chart body by identifying the horizontal and vertical gridlines and removing anything outside of them. Crop out the title using an out-of-the-box OCR (text-detection) system. Resize the image to 224 x 224 pixels for consistency (and, to be perfectly frank, because this is the size we saved the images to so that we could fit ~140k on the server). Color-quantize the graph: assign each pixel to one of 4 color groups to remove the confusing effects of shading/color variation on a single line. Get rid of the background. Remove horizontal and vertical grid lines. Pick out groups of pixels that represent a trend line. We do this robustly using a custom algorithm that sweeps from left to right, tracing out each line. Once we have the locations of the pixels representing a trend line, we convert these to data points by sampling at a consistent number of x points and taking the average y value for that x-value. We can then perform a linear regression on these points to decide what the salient direction of the trend is. As you can see, this is pretty complicated! And it’s definitely not perfect. We achieved an accuracy of 76% on our synthetic data, and 59% on the real-world data (which is almost double the probability you would get from randomly guessing, but still leaves a lot to be desired). Option 2: The machine-learning approach   The basic idea of training a machine learning classifier is this: collect a lot of example inputs and label them with the correct answer that you want your model to predict. Show your model a bunch of these labeled examples. Eventually, it will learn for itself what features of the input are important and which should be ignored, and how to distinguish between the examples. Then, given a new input, it can predict the right answer, without you ever having to tell it explicitly what to do. For us, the good news was that we had a giant set of training examples to show to our model. The bad news is, they didn’t actually resemble the real-world input that we wanted our model to be able to handle! Our synthetic training data was much cleaner and more consistent than our scraped real-world data. Thus, the first time we tried to train a model, we ended up with the paradoxical results that our model scored really wellâ€"over 95% accuracyon our synthetic data, and significantly worseâ€"66%on the real-world test set. So how can we get our model to generalize to messy data? By making our train data messier! We did this by mussing up our synthetic images in a variety of ways: adding random snippets of text to the graph, adding random small polygons and big boxes in the middle of it, and adding noise to the background. By using these custom data transformations, and by actually training for less time (to prevent overfitting to our very specific synthetic images), we achieved comparable results on our synthetic dataâ€"over 94% accuracyâ€"and significantly better real-life performanceâ€"84%. A diagram demonsrating the different transformations our images went through before being sent to our network to train. Looking at the predictions made by our model, we actually see some pretty interesting (and surprising) things. Our model generalizes well to variations in styling that would totally confuse the rules-based approach, like multicolored lines, lots of random text, or titled images. That’s pretty coolâ€"we were able to use synthetically generated data to train a model to deal with types of examples it had never actually seen before! But it still struggles with certain graph shapesâ€"especially ones with sharp inflection points or really jagged trends. This illustrates some of the shortcomings in how we generated the underlying data. On the left: surprising successes of our graph, dealing with a variety of stylisic variants. On the right: failures we were and were not able to fix by changing our training setup. The top row contains graphs that our network originally mislabeled, but that it was able to label correctly after we added curvier base functions to our data set. The bottom row contains some examples of images that our final network misclassifies. A note on quality of life during the final project period Unanimously voted (2-0) favorite graph of the project, and correctly classified by our neural net. Computer Vision basically ate up Nathan’s and my lives during the last two weeks of the semester. It lead to several late nights hacking in the student center, ordering food and annotating data. But we ended up with something we’re pretty proud of, and more importantly, a tool that will likely come in useful in my research this semester, which has to do with investigating how changing the title of a graph influences how drastic of a trend people remember. If you are interested in reading more about the project, you can find our official write-up here. Until next time, I hope your semester stays on the up and up! References (only for papers Ive referenced explicitly in this post; our write-up conains a full source listing.) J. Poco and J. Heer. Reverse-engineering visualizations: Recovering visual encodings from chart images. ComputerGraphics Forum (Proc. EuroVis), 2017. M. Savva, N. Kong, A. Chhajta, L. Fei-Fei, M. Agrawala,and J. Heer. Revision: Automated classification, analysis and redesign of chart images. ACM User Interface Software Technology (UIST), 2011.  M. A. Borkin, Z. Bylinskii, N. W. Kim, C. M. Bainbridge,C. S. Yeh, D. Borkin, H. Pfister, and A. Oliva. Beyond memorability: Visualization recognition and recall. IEEE Transactions on Visualization and Computer Graphics, 22(1):519â€"528, Jan 2016. Post Tagged #6.869

2018 Best Brightest Michael John Poorten, Georgetown University (McDonough)

2018 Best Brightest: Michael John Poorten, Georgetown University (McDonough) by: Jeff Schmitt on April 01, 2018 | 0 Comments Comments 986 Views April 1, 2018Michael John PoortenGeorgetown University (McDonough)I’m a Renaissance man full of surprises and loaded with dad-jokes.Fun fact about yourself: I’m a member of a mafia. The #BillsMafia.Hometown: Sycamore, ILHigh School: Sycamore High SchoolMajor: International Political Economy and Business Operations and Information ManagementMinor: SpanishFavorite Business Course: International BusinessExtracurricular Activities, Community Work and Leadership Roles During College: McDonough School of Business Peer Ambassador, Georgetown Collegiate Investors, Georgetown University Knights of Columbus (Chief Financial Officer), Georgetown Juggling Club, Special Olympics Fundraising, Crossroads Retreat Leader, Three Semesters Dean’s List, Two Semesters Second Honors, One Semester First Honors, Intramural Co-ed Flag Foot ball ChampionWhere have you interned during your college career? YouthWorks, Brooklyn, NY, Service CoordinatorKennedy Institute of Ethics, Washington, DC, Program AssistantTIAA, New York, NY, Corporate Strategy and Development InternWhere will you be working after graduation? TIAA, Corporate Strategy and Development AnalystWho is your favorite professor? Alexandra (Sandra) Martà ­n was my professor for Advanced Spanish for Business and she is hands down one of the most optimistic and energetic people I’ve met. I was excited for every class, not only because it was a topic I love but also because Sandra engaged me for every second of the full 75 minutes. She made even the most tedious of assignments enjoyable with her chipper attitude and positive energy.What did you enjoy most about your business school? That would have to be the people. A fancy building and the newest textbooks are great and all, but what differentiates our school from the rest are the people. I’ve b een blessed to have brilliant professors and deans that care for me both in the classroom and out.What is the biggest lesson you gained from studying business? Studying business has highlighted to me the importance of fostering good relationships and their criticality to a successful career. There’s plenty of technical skills required to propel you to success early in a business career, but if you cannot work well with people then your success will quickly dwindle. That is why I have always sought to engage with as many different people as possible, and I think that has helped me become a more friendly and personable person.What advice would you give to a student looking to major in a business-related field?  Ã¢â‚¬Å"If people like you, they’ll listen to you, but if they trust you, they’ll do business with you.† ~Zig Ziglar† ~Michael John Poorten. If you see yourself being someone others can trust, then perhaps business is right for you.â€Å"If I didn’t major in business, I would be majoring in or studying†¦engineering. I love to innovate and build physical solutions to problems. When I was in high school, I enjoyed all math and science subjects and was good at them. I thought engineering would be the practical next step. I often wonder how distinct my path would have been if I had pursued that career, but when you’re as happy as I am with what I have now you cannot have any regrets.Which academic, extracurricular or personal achievement are you most proud of?  I am most proud of receiving my Spanish Diploma Level C1 from the Instituto Cervantes, which I earned from passing a series of Spanish exams during my studies in Madrid, Spain. I had been working on my Spanish for seven years and it was something I had invested much time into and had become passionate about, so finally receiving tangible recognition that my work paid off was rewarding.Which classmate do you most admire? I admire my classmate Chas Newman. We have worked on a number of international business and strategy projects together and I’ve always been inspired by his work ethic. He produces quality work in the classroom, carries engaging and rich conversation, always seems to know exactly what he wants to say, and is driven outside the classroom. Not only does he keep busy with his on-campus business consulting group and political activist groups, but he also started his own business as an undergrad. Chas is someone I try to emulate in many ways.Who would you most want to thank for your success? That would have to be my parents. One can never take for granted a good upbringing, and I was fortunate to have parents who raised me to be the well-rounded man I am today. They’ve shaped me into who I am since I was young and still offer me points of advice and wisdom when I come to them today.What would your theme song be? â€Å"Gonna Fly Now† (Theme from Rocky) because I’m always training to be be tter and stronger at everything I do.What are the top two items on your bucket list? Run with the bulls during the Sanfermines festivals in Pamplona, Spain and have a conversation with Shakira in Spanish.Favorite book: Life of PiFavorite movie: Saving Private RyanFavorite vacation spot: Turks and CaicosWhat are your hobbies? Football, Basketball, Juggling, Cryptocurrency Trading, Card Games, ReadingWhat made Michael such an invaluable addition to the Class of 2018?â€Å"Michael  is an exceptional student leader and embodies the Jesuit values of men and women for others.  Michael  has been a McDonough peer ambassador for the last three years.   He brings a caring and supportive approach to his work as a peer mentor, welcoming new students to campus, helping them to acclimate to the hilltop and  making sure they know they have a friend on campus.   I have been proud to call  Michael  a Peer Ambassador and will miss his contributions to the program when he graduates.Ad ditionally,  Michael  impresses me with his openness to new and non-traditional paths.  After his first year,  Michael  studied abroad in Quito, Ecuador and then in the fall of his junior year in Madrid, Spain.  Studying abroad is something that  Michael  expressed his desire to pursue, in an effort to further develop his global perspective.  He was looking for an opportunity to improve his Spanish language skills and really integrate himself into the culture.  I was impressed with his wish to take a less traditional route than many of his peers, taking all his courses in Spanish (at both locations) to enhance this skillset.  I know that this experience really had a lasting impression on  Michael.  These experience enhanced his cross-cultural skills and broadened his global viewpoint of business practices.McDonough has been lucky to have a student like Michael  Poorten  as a member of the Class of 2018!   I know he will be successful in all he does an d look forward to seeing great things from him in the future.†Deborah Coburn Senior Assistant Dean and Director of Advising, Georgetown McDonough Undergraduate ProgramDONT MISS: THE BEST BRIGHTEST BUSINESS MAJORS OF 2018 THE COMPLETE LIST   Page 1 of 11

European Colonization Of The New World - 1224 Words

European colonization of the New World began during the European age of exploration and following the discovery of resources in the New World. The various motives of the Spanish, British, and French imperialists were reflected in the political, economic, and social changes that occurred in the areas each government claimed. These changes are very distinctive and led to drastic changes in their respective areas. Spanish conquistadors sought gold and treasure from uncharted lands. Backed by the infantile Christian Spanish crown, the conquistadors desired to bring glory to the Spanish Empire and spread the Christian faith. Their motives could be summarized by the motto, â€Å"gold, glory, God.† The superior technology of the Spanish allowed conquistadors to swiftly conquer the Incan and Aztec Empires. Cortez and Pizzaro laid waste to Cuzco and Tenochtitlan. In addition to the riches plundered from Peru and Mexico, the Spanish took advantage of an abundance of silver to engage in the lucrative Asian trade. To extract the silver, the Spanish minority employed Native Americans as slave labor. Spanish colonization led to a complex social structure amongst the Native Americans, Spanish, and African Slaves. Peninsulares, Iberian born Spaniards, were at the top of the hierarchy, followed by Creoles, New World born Spaniards. Next were the mestizos and mulattoes, people of Spanish and Native Am erican or African lineage. In addition to the social hierarchy, the Spanish crated the EncomiendaShow MoreRelatedEuropean Exploration And Colonization Of The New World1248 Words   |  5 PagesThe political, economic, and social reasons for European exploration and colonization of the New World Power was the main focus for the Europeans to explore and colonize the new world. 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My focus of the trade is labor demands, effects on Africa, European organization of trade, and economy leading up to the end of the trade and after. Together, the two books demonstrate that the Atlantic Slave Trade was more than just the trading of Africans to different continents, but was a historical point that heavily impacted the world socially, economically and politically. While acknowledging the similarities of the two books in my essay, IRead MoreColonization Of The United States1074 Words   |  5 PagesColonization in America has demonstrated all of the US history themes of exploration, encounter and exchange in the Americ as. From the beginning of colonization, in 1492 by Christopher Columbus, to the establishment of the first American colony, Jamestown in 1607, and to the creation of the thirteen colonies, there have been countless examples of exploration, encounter and exchange. 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