Modern Teenagers free essay sample

I won’t unquestionably determine the Modern adolescents as apathetic, spoilt and reckless yet I would surely say that they are a touch of being every one of the three. In todays society there are numerous weights in the lives of youngsters. The issue with them is that they are youthful and youth is the spring of Life but since of the an excess of weight and duty on them, they are searching for certain chances to get their opportunity. Our parent’s attitude is generally similar to that of the days of yore, so they accept the adolescents as uncontrollable and rude. I might want to give reasons lined up with every one of the allegation of the youngsters. It is heartless to comment the young people as sluggish for I surmise they do the most careful work, truly just as intellectually. Young people invest a ton of energy contemplating and the tornado of school crashes through their lives causing sleepiness and mayhem. We will compose a custom exposition test on Present day Teenagers or then again any comparative point explicitly for you Don't WasteYour Time Recruit WRITER Just 13.90/page They take an interest in sports and furthermore help with the housework. In any case, in their bustling life they need something for unwinding which the guardians take as their sluggishness and this is a direct result of the age hole between the guardians and the teenagers.The affirmation that youngsters are spoilt is absolutely out of line and unforgiving. I do concur that a few young people are a piece excessively progressed than they ought to be nevertheless that doesn't make them spoilt. Individuals typically point them as spoilt in light of the fact that they like to go out to shop, invest most energy with companions than family, stare at the TV and peruse in the web yet they do this just to get some agreeable minutes from their bustling unpleasant life however guardians particularly never attempt to get that. At long last, youngsters are not untrustworthy at all.Many adolescents do low maintenance employments and even go to educational cost. A great deal of youngsters help with the family tasks and set up their own things and requirements. A few youngsters even deal with their more youthful kin without their folks. Clearly those are the signs of a capable individual. At that point why they are demonstrated as unreliable? Young people are joyful spirits and they attempts to encounter the world through all detects, so we ought not hurt them by those hostile words as sluggish, spoilt and flippant.

Managing uncertainty Essay Example | Topics and Well Written Essays - 1000 words

Overseeing vulnerability - Essay Example Likewise, millennial are all the more ready to face challenges and profoundly instructed contrasted with the first ages. These distinctions will undoubtedly bring about some rubbing at the work environment, where in the past it has been noticed that associations have picked to leave them to determine themselves. Be that as it may, this is ending up being unfruitful as millennial are leaving the workforce to begin their own organizations and work as experts. Having understood their significance, associations need to distinguish methods of pulling in and holding this workforce just as guaranteeing they work in attachment with the more established age (Cahill et al 2012, p.4). Famous sociology has endeavored to classify the living ages into five-develops/veterans or manufacturers, people born after WW2, and the ensuing age X, Y and Z. Directly, people born after WW2, age X and Y are the ones effectively occupied with the workforce. Each age is related to its own special characteristics with the children of post war America conceived between mid-1940s and mid-1950s, and manufacturers typically in their late 60s and 70s, sharing a likeness of having the option to work for extended periods of time in a basic way. While the rest are known for being adaptable, having an expanded comprehension of innovation and by and large looking for a healthy lifestyle, the last being especially so for age X conceived between mid-1960s to mid 1980s. The test for HR experts lies in finding some kind of harmony between addressing the necessities of an association and the expanding desires for the multigenerational workforce. For the most part, age Y and Z want to have an adaptable work routine that suggests them not being attached to the workplace an entire day. Strikingly likewise, associations are confronted with the tough assignment of perceiving and managing the contending issues of age Y and Z and the customers/clients which may not be fundamentally unrelated. HR directors need to perceive and value the various perspectives held by a multigenerational workforce (Mitchell 2008, p.666). Associations need to reevaluate their necessities and objectives from a comprehensive outlook and plan an expected set of responsibilities that will offer representatives an open door for development alongside different duties; which thusly will bring about them being held and fulfilled in their activity. This is entangled by the way that there will be miscommunications, misunderstandings and separations in a multigenerational workforce, concerning work duty and qualification. Furthermore, operational territories, for example, cutting edge representatives have must be rebuilt as the board rehearses have advanced throughout the years and methods of correspondence have changed from top-down, task-based directions to straight contemporary methods of conveying. Administrative positions have additionally gotten pointless attributable to efficiencies made by ongoing office advances. This infers certain positions have gotten repetitive and workers who have been with an association over an extensive stretch should have their earlier positions reexamined. HR directors should look to their qualities and dispense new obligations as needs be rather than releasing them as their experience makes an open door for mentorship to the more youthful, approaching workforce (Mosley and Kaspar 2008, p.94). Moreover, HR chiefs have

EverString

EverString INTRODUCTIONMartin: Hi, today we are in San Mateo with EverString and Vincent. Vincent, who are you and what do you do?Vincent: Hey, how are you doing?Martin: Good!Vincent: Welcome to the Silicon Valley.Martin: Thank you very much. What are you doing at EverString?Vincent: Im one of the Co-Founder and CEO of EverString and what the whole company is doing is the predictive analytics, helping sales and marketing teams to predict whos their next customers.Martin: Great.Martin: And what did you do before you started this company?Vincent: When I started this company, I was mostly working in finance. So I started with my career in J.P. Morgan as an investment banker. So, over there my main job was analyzing public stock and then to decide which stock we should privatize. Later on, I moved to a private equity firm, called Summit Partners that was based here in Palo Alto. In my job again, it was to analyze companies, so I was analyzing around 25-30.000 companies in about two and a half years and this is kind of merely my experience before EverString.Martin: And how did you come up with this idea of creating EverString?Vincent: Thats a good question. So, I was originally mathematics major and when I was working in finance in J.P. Morgan I applied a lot of analytic skills on the analyzing public stocks. So this is all fine, and then, when I go to Summit, I realize for a human being its very difficult to analyze 10s of thousands of private companies and there is not too much information, its not public traded, theres no revenue information. So, then I have the idea of is it possible to use national language processing to analyze companies for me, so that I do not need to go visit their website every day. And all I wanted it to do is for 10s of thousands of companies, and if youre looking at the whole US, there are in total 5 million companies that have a website, I wanted to know which company is growing, which company is more interesting, which company fits the Summit In vestment criteria. So, I started to do codings inside of the Summit and then do some trials and it works very well. And this really triggers me to think Hey, theres actually a new space to really apply the big data, the text mining, especially analyzing the unstructured data and to help business make better decisions.Martin: But still, there you analyze the companies which are growing etc., then, what is the leap towards marketing?Vincent: Thats a good question. So, when EverString was first founded, we actually focused a lot on financial institutions, so helping venture capital, private equity, investing banks and even hedge fund. So we almost turn ourselves into an algorithm trading hedge fund. And its in about last year, I got a call from one CMO and then he was the one of the friend of friend and he heard about us and asking is it possible we apply a machine learning and natural language processing engine into their company and help him to analyze his leads, which is our company , too. Initially, that surprises us because we have never been to the space. And then we did a very smart trial, we were really starting to analyze. Because to us, analyzing company and analyzing leads its actually the same thing. So we did a trial and it actually worked very well. It actually converts about 300% more conversions than the benchmark. And after that, this really opened door for us, for all of us, which back then we were all bunch of mathematicians and neural network PhDs. So once we see the work and the variable for the marketing sales team, and we realize that the market is even bigger than the financial institutions, so were starting to now go all way into the space.Martin: So now youre only focusing on the marketing set, right?Vincent: Thats right.Martin: Ok, great. How do you manage your productivity of a daily day?Vincent: My productivity actually varies a lot in different stages of the company. Early days, when we were at the seed round stage, there were not too many of us, in total we had about 10 people. So, I was basically doing, my main focus back then was focusing on algorithm design, focus on the backend architect and to focus more on getting the beta customers. But now, after Series A, our company is significantly larger, we hired 12 people in last month. And also now that we have 35 people in total and it’s much bigger team right now and we expect it to grow, like double in the size very soon. So in this case, my day was terrible. I now manage my day, I follow very strict discipline, so I get up close to 5:30am every day. I go to the gym every day just to make sure that I was well energized for the day. Then Ill finish everything, go to the office in around 7-7:30am and before everybody arrives, so from 7:30am to 9am I try to focus a lot on product review, product design and making sure all the algorithms are in good track. And then, during the day from 9am oclock to 5pm oclock, some time is not actually my time. My time is divid ed by everybody and everybody put calendar invite to my calendar. So I was mostly stay in sales meetings, marketing meetings, product reviews, algorithm reviews, backend engineering, update calls, that kind of things. And from 5pm oclock things start to cool down a little bit, Im starting to get back my time again. And then grab dinner and then go back to do reply to email and finishing the day.Martin: Ok, great. And how do you keep focus on all of the day? Because I can imagine if you have 10 open items that you need to work on. How do you focus at the specific item a certain time?Vincent: Thats a good question. I did a couple of things. One is: every month, I will write down what my top priorities are. Ill list 5 priorities to do for the whole month. And then, once I start to break it into the weekly priorities and then, this is all I have to achieve and I assure it with the top executive team in EverString. So, they all know what I will be focusing my time on. And then every day I will write down today there are three things that I must focus on and everything else is not as important as those things. Because I find out a lot of the CEOs that their mode was, what I call it, interruptive tribal. So, they are sitting there, solving issues, putting out fires everywhere. This is very tough for an young company, so we have to be really focused, so thats why I make sure I only focus on the right things. I do some meditations, and I think meditation helps a lot to, that people focus on the fundamental issues. And that fundamental issues, I ask myself every day, I ask most of the team members here, too, why we are doing EverString and why we are here. Most of the teams we hire are really top stars in all kind of industries. And then, there is no point joining a startup, so this is a question I ask myself here, why we are here doing EverString, so that really helps me to focus on what Im supposed to do.Martin: And how do you manage your team? Do you also know that t hey have some kind of 4-5 top priorities over month, are they communicated between the executive team?Vincent: Because Im a big fan of planning and I started doing my own planning for a total, like 15 years now, so since I go to high school. I plan my day every day. This is the culture that I set up in the company and I was wishing that everyone, in our weekly meetings, everybody will list down: here are the top 3 things that Ill be focusing on. And 60% of their time will be focusing on top priorities. That moved the company to the next level. 40% of the time are putting out fires, solving issues, there are a lot of unexpected things coming up. Not everybody was used to that in particular, engineer, scientist, they are not born in a world where you have so many things. But gradually, I think, after working with me for some time I think they are starting to getting used to those. We use a lot of tools internally, as well, the collaboration tools, the goal setting tools that get every body into the same page.Martin: Ok. Can you recommend a goal setting tool for example?Vincent: Yeah, so we use Asana. Were hoping everybody, theres a section everybody are putting their weekly goals, and then we will review their goals. So thats a very helpful. And Trello is another helpful tool. Trello is much easier, you can put your week into different days and everybody could review what people are supposed to do during the days. And we are building product, we use Hackpad. Its an online writing pad where people could collaborate. This is also very helpful for your team to do things and making sure people are on the same page.Martin: Ok, great.BUSINESS MODEL OF EVERSTRINGMartin: Vincent, lets talk briefly about your business model. How does it currently work?Vincent: Well, our business model is actually, if you think about it in high level, its actually very easy. We take a look at our clients customers and we find a look-like, and thats it. The biggest pain points that I find w hen I was talking with a lot of CMOs, they were like Today I know we have a lot of revenues, our revenue will grow. But if you ask them Who are your ideal customers?, this is the question where most of the CMOs dont have a clear answer. And when I ask them Who are the leads that you dont want to talk to? they are like I dont have a clear answer. So, our fundamental goal in EverString is really to use data science to help you understand who are your ideal customers and bring you more of them. So, this is kind of the general high level concept. In terms of the way how it works, its we plug in our engine inside of their CRM, marketing automation and all the internal lead capturing tools they had been using. We first analyze who are your ideal customers and who are the bad leads that you dont want to talk to. But, all the information we have is just a company name or url. This is the same thing when I was back in the finance part of the world is, back then I would have a whole list of 3 0.000 company names, and I have to do all their analysis to come up with among them 30.000 who shall I talk to. So, the same thing. Once we have that, and then we started to crawl the web, and it would focus a lot on analyzing unstructured context. So we have the technology built internally to turn the whole webpage into mathematical signals. A webpage is unstructured, a mathematical signal is structured. So, theres a lot of work internally that were doing there. Thats why, in the space that we are able to generate our features, that are around 50 times more than all our competitors. So, our predictive accuracy is much higher as well. This is generally how we had been doing in building the model. Once the model is built, and then we apply the model to do a lot of things. So we apply the model to tell to sales team, every day, when all of the leads come to the website, what are the leads you should focus on. And also try to grab more leads into the funnel, whether its upper funnel or the lower funnel. So this is generally what we are doing.Martin: Do you only tell Ok, you should focus on these leads or do you already tell some kind of story or some kind of pitch that you could use? If you see potential lead, went to a conference, and assuming that the company did not have this information before, than you could either pitch Ok, he was on the conference, maybe you can use this as our pitch for making the contact.Vincent: Yes, this is something thats important, that we have built a prototype, but we havent put into the product environment, this is in the product roadmap. Not only helping our clients to know who to talk to, but also help them to engage with them.Martin: I understand.Martin: Lets talk briefly about the corporate strategy. Can you tell us a little bit more about general overview of the product strategy going forward?Vincent: The industry we are in is a very early stage industry. In general, people call it predictive analytics, but its just very muc h like a buzz word. Its like people lets call it big data, people call it Hadoop in the early day. People call social network, its just buzz word. But, in reality what were doing is just use data science to help specifically the marketing team, that the main generation people, the inside sales team, the lead qualification team to do better on their jobs. Right now there are a few players like us that are in the space that are even early stage. And then what most of the people are doing is building the model. This is where we are right now. So, in the future, what you can imagine is, once the model is built, there are a lot of places where you could apply the model, to help them to do better lead scoring, to help generating better leads, and there are a few more things that it could help them further. So, for us, its no different. We are constantly exploring new applications that could be built based on a model we apply to the clients. So, right now we have built a few very interesti ng applications, so we are working with our clients on those, so we havent announced that yet, but very soon well be letting the world know that the superpower of the model and once it applied in the right way, whole business efficiency and your revenue will have a big boost.MARKET TRENDSMartin: Can you tell us a little bit about industry structure or the market structure in general and maybe some trends you have identified?Vincent: Yeah, sure. The way how I think about the industry is in three parts. It is data, insights, and action. If you look at three parts. So, in the general, what I call the marketing or the sales intelligent space or the sales enablement space, there are a lot of data providers. They focus on generating proprietary data and then feed it to the right customer or to the modelers like us. Then you have the middle part which is the insights, like us, like some other players that, what we focus on is building predictive model and integrating the third party data, the first party data to do a good job on telling what our audience will look like. And then theres the action part where you have the CRM, you have the marketing automation and you have the DSP-SSP part of the world that helps you to really engage with the client. So this is what I see the ecosystem of the market, but definitely the trend that I would see those three parts will come closer and closer to really even become one place. This is a very interesting trend that Ive seen happening a little bit in the market, its too early in the games, but definitely in 5-10 years down the line you will see some players that are able to handle all three things at the same time and provide end to end solutions.Martin: Ok. And what would be your estimated forecast, do you rather think that the data companies will integrate all of the other steps or do you really think that they would just organically try to build something similar?Vincent: Yeah, I think all the three parts of the industry has the potential and ambition to take over the whole industry.This is just generally true for most of the industries, so on the lower stream people wanted to go up stream, the data vendors where I see theyve starting to build models, theyre starting to even go more and more into the action part. And similarly for the people, the marketing automation, the CRM provider, they try to go a little bit backwards as well. Everybody might have a chance to win, but to me, I feel like the eventual winner, it really depends on how good you understand the real work flow of your clients and how strong team you have. Its easy to say we do predictive analytics, but its actually very hard to do it. A lot of the people that I know just basically uses Excel sheet to do some simple logistic regression, where you can do it and I can do it, its very easy. But for us, in day-one that we hire our PhDs in Stanford that focus on neural network, and they are analyzing about 10s of billions of data points they bu ild on models. So, these are the people that its very hard to get and its very hard to make them work as a team. So, we will see who will eventually win the game.Martin: Lets take a step back and talk briefly about machine learning. How does machine learning work basically for somebody who has never done it before?Vincent: You mean, for first time entrepreneur interested in space?Martin: Yes, right, for example, if Im an entrepreneur and Im interested in doing some kind of machine learning startup. What should I know, how the basic machine learning world works?Vincent: I think the basic concept of machine learning is very, very simple. It has two parts. You understand the past and you try to use this to predict the future. So, the past and the future. In the technical terms, the way how we understand the past is by building a model. We call that training set. So, we need some of the data that tells me a little bit about your past so I have to build a model of. Second thing is what w e call the evaluation. Its very important to know how good the performance was for this model. We need sort of evaluation data set to test how well the model could perform. I think for a first time entrepreneur, engineers or anyone interested to come to the space, definitely try to go watch the Andrew Ngs lecture about machine learning. Andrew Ng is famous professor in Stanford. He does the whole Coursera videos on machine learning, I think this is very helpful for people that doesnt know the space, and the other thing is more to understand where you want to apply the machine learning. Ive seen, when I was back in finance, so when I was an investor myself, Ive seen numerous companies that claimed they do machine learning. Its more like a typical failure example, you have a technology and you look for a solution. Most of the cases that doesnt work. So, Ive seen companies apply machine learning to industries that would never make any money, or to industries that are not growing, so th is is also, I think its one of the lessons that Ive learned in a hard way, as well, to really first think about what is the solution you want it to solve rather than think Im just going to run a machine learning company. I feel that might be a little bit tough.Martin: Sure. Ok, great.ADVICE TO ENTREPRENEURS FROM VINCENT YANG In San Mateo (CA), we meet the Co-founder and CEO of EverString, Vincent Yang. He shares his story how he came up with the idea and founded his company, how the current business model works, as well as Vincent provides some advice for young entrepreneurs.The transcript of the interview is provided below.INTRODUCTIONMartin: Hi, today we are in San Mateo with EverString and Vincent. Vincent, who are you and what do you do?Vincent: Hey, how are you doing?Martin: Good!Vincent: Welcome to the Silicon Valley.Martin: Thank you very much. What are you doing at EverString?Vincent: Im one of the Co-Founder and CEO of EverString and what the whole company is doing is the predictive analytics, helping sales and marketing teams to predict whos their next customers.Martin: Great.Martin: And what did you do before you started this company?Vincent: When I started this company, I was mostly working in finance. So I started with my career in J.P. Morgan as an investment banker. So, over there my main job was analyzing public stock and then to decide which stock we should privatize. Later on, I moved to a private equity firm, called Summit Partners that was based here in Palo Alto. In my job again, it was to analyze companies, so I was analyzing around 25-30.000 companies in about two and a half years and this is kind of merely my experience before EverString.Martin: And how did you come up with this idea of creating EverString?Vincent: Thats a good question. So, I was originally mathematics major and when I was working in finance in J.P. Morgan I applied a lot of analytic skills on the analyzing public stocks. So this is all fine, and then, when I go to Summit, I realize for a human being its very difficult to analyze 10s of thousands of private companies and there is not too much information, its not public traded, theres no revenue information. So, then I have the idea of is it possible to use national language processing to analyze companies for me, so that I do not need to g o visit their website every day. And all I wanted it to do is for 10s of thousands of companies, and if youre looking at the whole US, there are in total 5 million companies that have a website, I wanted to know which company is growing, which company is more interesting, which company fits the Summit Investment criteria. So, I started to do codings inside of the Summit and then do some trials and it works very well. And this really triggers me to think Hey, theres actually a new space to really apply the big data, the text mining, especially analyzing the unstructured data and to help business make better decisions.Martin: But still, there you analyze the companies which are growing etc., then, what is the leap towards marketing?Vincent: Thats a good question. So, when EverString was first founded, we actually focused a lot on financial institutions, so helping venture capital, private equity, investing banks and even hedge fund. So we almost turn ourselves into an algorithm tradin g hedge fund. And its in about last year, I got a call from one CMO and then he was the one of the friend of friend and he heard about us and asking is it possible we apply a machine learning and natural language processing engine into their company and help him to analyze his leads, which is our company, too. Initially, that surprises us because we have never been to the space. And then we did a very smart trial, we were really starting to analyze. Because to us, analyzing company and analyzing leads its actually the same thing. So we did a trial and it actually worked very well. It actually converts about 300% more conversions than the benchmark. And after that, this really opened door for us, for all of us, which back then we were all bunch of mathematicians and neural network PhDs. So once we see the work and the variable for the marketing sales team, and we realize that the market is even bigger than the financial institutions, so were starting to now go all way into the space. Martin: So now youre only focusing on the marketing set, right?Vincent: Thats right.Martin: Ok, great. How do you manage your productivity of a daily day?Vincent: My productivity actually varies a lot in different stages of the company. Early days, when we were at the seed round stage, there were not too many of us, in total we had about 10 people. So, I was basically doing, my main focus back then was focusing on algorithm design, focus on the backend architect and to focus more on getting the beta customers. But now, after Series A, our company is significantly larger, we hired 12 people in last month. And also now that we have 35 people in total and it’s much bigger team right now and we expect it to grow, like double in the size very soon. So in this case, my day was terrible. I now manage my day, I follow very strict discipline, so I get up close to 5:30am every day. I go to the gym every day just to make sure that I was well energized for the day. Then Ill finish everything, go to the office in around 7-7:30am and before everybody arrives, so from 7:30am to 9am I try to focus a lot on product review, product design and making sure all the algorithms are in good track. And then, during the day from 9am oclock to 5pm oclock, some time is not actually my time. My time is divided by everybody and everybody put calendar invite to my calendar. So I was mostly stay in sales meetings, marketing meetings, product reviews, algorithm reviews, backend engineering, update calls, that kind of things. And from 5pm oclock things start to cool down a little bit, Im starting to get back my time again. And then grab dinner and then go back to do reply to email and finishing the day.Martin: Ok, great. And how do you keep focus on all of the day? Because I can imagine if you have 10 open items that you need to work on. How do you focus at the specific item a certain time?Vincent: Thats a good question. I did a couple of things. One is: every month, I will write down what m y top priorities are. Ill list 5 priorities to do for the whole month. And then, once I start to break it into the weekly priorities and then, this is all I have to achieve and I assure it with the top executive team in EverString. So, they all know what I will be focusing my time on. And then every day I will write down today there are three things that I must focus on and everything else is not as important as those things. Because I find out a lot of the CEOs that their mode was, what I call it, interruptive tribal. So, they are sitting there, solving issues, putting out fires everywhere. This is very tough for an young company, so we have to be really focused, so thats why I make sure I only focus on the right things. I do some meditations, and I think meditation helps a lot to, that people focus on the fundamental issues. And that fundamental issues, I ask myself every day, I ask most of the team members here, too, why we are doing EverString and why we are here. Most of the te ams we hire are really top stars in all kind of industries. And then, there is no point joining a startup, so this is a question I ask myself here, why we are here doing EverString, so that really helps me to focus on what Im supposed to do.Martin: And how do you manage your team? Do you also know that they have some kind of 4-5 top priorities over month, are they communicated between the executive team?Vincent: Because Im a big fan of planning and I started doing my own planning for a total, like 15 years now, so since I go to high school. I plan my day every day. This is the culture that I set up in the company and I was wishing that everyone, in our weekly meetings, everybody will list down: here are the top 3 things that Ill be focusing on. And 60% of their time will be focusing on top priorities. That moved the company to the next level. 40% of the time are putting out fires, solving issues, there are a lot of unexpected things coming up. Not everybody was used to that in parti cular, engineer, scientist, they are not born in a world where you have so many things. But gradually, I think, after working with me for some time I think they are starting to getting used to those. We use a lot of tools internally, as well, the collaboration tools, the goal setting tools that get everybody into the same page.Martin: Ok. Can you recommend a goal setting tool for example?Vincent: Yeah, so we use Asana. Were hoping everybody, theres a section everybody are putting their weekly goals, and then we will review their goals. So thats a very helpful. And Trello is another helpful tool. Trello is much easier, you can put your week into different days and everybody could review what people are supposed to do during the days. And we are building product, we use Hackpad. Its an online writing pad where people could collaborate. This is also very helpful for your team to do things and making sure people are on the same page.Martin: Ok, great.BUSINESS MODEL OF EVERSTRINGMartin: Vincent, lets talk briefly about your business model. How does it currently work?Vincent: Well, our business model is actually, if you think about it in high level, its actually very easy. We take a look at our clients customers and we find a look-like, and thats it. The biggest pain points that I find when I was talking with a lot of CMOs, they were like Today I know we have a lot of revenues, our revenue will grow. But if you ask them Who are your ideal customers?, this is the question where most of the CMOs dont have a clear answer. And when I ask them Who are the leads that you dont want to talk to? they are like I dont have a clear answer. So, our fundamental goal in EverString is really to use data science to help you understand who are your ideal customers and bring you more of them. So, this is kind of the general high level concept. In terms of the way how it works, its we plug in our engine inside of their CRM, marketing automation and all the internal lead capturing tools they had been using. We first analyze who are your ideal customers and who are the bad leads that you dont want to talk to. But, all the information we have is just a company name or url. This is the same thing when I was back in the finance part of the world is, back then I would have a whole list of 30.000 company names, and I have to do all their analysis to come up with among them 30.000 who shall I talk to. So, the same thing. Once we have that, and then we started to crawl the web, and it would focus a lot on analyzing unstructured context. So we have the technology built internally to turn the whole webpage into mathematical signals. A webpage is unstructured, a mathematical signal is structured. So, theres a lot of work internally that were doing there. Thats why, in the space that we are able to generate our features, that are around 50 times more than all our competitors. So, our predictive accuracy is much higher as well. This is generally how we had been doing in buildi ng the model. Once the model is built, and then we apply the model to do a lot of things. So we apply the model to tell to sales team, every day, when all of the leads come to the website, what are the leads you should focus on. And also try to grab more leads into the funnel, whether its upper funnel or the lower funnel. So this is generally what we are doing.Martin: Do you only tell Ok, you should focus on these leads or do you already tell some kind of story or some kind of pitch that you could use? If you see potential lead, went to a conference, and assuming that the company did not have this information before, than you could either pitch Ok, he was on the conference, maybe you can use this as our pitch for making the contact.Vincent: Yes, this is something thats important, that we have built a prototype, but we havent put into the product environment, this is in the product roadmap. Not only helping our clients to know who to talk to, but also help them to engage with them.M artin: I understand.Martin: Lets talk briefly about the corporate strategy. Can you tell us a little bit more about general overview of the product strategy going forward?Vincent: The industry we are in is a very early stage industry. In general, people call it predictive analytics, but its just very much like a buzz word. Its like people lets call it big data, people call it Hadoop in the early day. People call social network, its just buzz word. But, in reality what were doing is just use data science to help specifically the marketing team, that the main generation people, the inside sales team, the lead qualification team to do better on their jobs. Right now there are a few players like us that are in the space that are even early stage. And then what most of the people are doing is building the model. This is where we are right now. So, in the future, what you can imagine is, once the model is built, there are a lot of places where you could apply the model, to help them to do better lead scoring, to help generating better leads, and there are a few more things that it could help them further. So, for us, its no different. We are constantly exploring new applications that could be built based on a model we apply to the clients. So, right now we have built a few very interesting applications, so we are working with our clients on those, so we havent announced that yet, but very soon well be letting the world know that the superpower of the model and once it applied in the right way, whole business efficiency and your revenue will have a big boost.MARKET TRENDSMartin: Can you tell us a little bit about industry structure or the market structure in general and maybe some trends you have identified?Vincent: Yeah, sure. The way how I think about the industry is in three parts. It is data, insights, and action. If you look at three parts. So, in the general, what I call the marketing or the sales intelligent space or the sales enablement space, there are a lot of data providers. They focus on generating proprietary data and then feed it to the right customer or to the modelers like us. Then you have the middle part which is the insights, like us, like some other players that, what we focus on is building predictive model and integrating the third party data, the first party data to do a good job on telling what our audience will look like. And then theres the action part where you have the CRM, you have the marketing automation and you have the DSP-SSP part of the world that helps you to really engage with the client. So this is what I see the ecosystem of the market, but definitely the trend that I would see those three parts will come closer and closer to really even become one place. This is a very interesting trend that Ive seen happening a little bit in the market, its too early in the games, but definitely in 5-10 years down the line you will see some players that are able to handle all three things at the same time and provide end to end solutions.Martin: Ok. And what would be your estimated forecast, do you rather think that the data companies will integrate all of the other steps or do you really think that they would just organically try to build something similar?Vincent: Yeah, I think all the three parts of the industry has the potential and ambition to take over the whole industry.This is just generally true for most of the industries, so on the lower stream people wanted to go up stream, the data vendors where I see theyve starting to build models, theyre starting to even go more and more into the action part. And similarly for the people, the marketing automation, the CRM provider, they try to go a little bit backwards as well. Everybody might have a chance to win, but to me, I feel like the eventual winner, it really depends on how good you understand the real work flow of your clients and how strong team you have. Its easy to say we do predictive analytics, but its actually very hard to do it. A lo t of the people that I know just basically uses Excel sheet to do some simple logistic regression, where you can do it and I can do it, its very easy. But for us, in day-one that we hire our PhDs in Stanford that focus on neural network, and they are analyzing about 10s of billions of data points they build on models. So, these are the people that its very hard to get and its very hard to make them work as a team. So, we will see who will eventually win the game.Martin: Lets take a step back and talk briefly about machine learning. How does machine learning work basically for somebody who has never done it before?Vincent: You mean, for first time entrepreneur interested in space?Martin: Yes, right, for example, if Im an entrepreneur and Im interested in doing some kind of machine learning startup. What should I know, how the basic machine learning world works?Vincent: I think the basic concept of machine learning is very, very simple. It has two parts. You understand the past and yo u try to use this to predict the future. So, the past and the future. In the technical terms, the way how we understand the past is by building a model. We call that training set. So, we need some of the data that tells me a little bit about your past so I have to build a model of. Second thing is what we call the evaluation. Its very important to know how good the performance was for this model. We need sort of evaluation data set to test how well the model could perform. I think for a first time entrepreneur, engineers or anyone interested to come to the space, definitely try to go watch the Andrew Ngs lecture about machine learning. Andrew Ng is famous professor in Stanford. He does the whole Coursera videos on machine learning, I think this is very helpful for people that doesnt know the space, and the other thing is more to understand where you want to apply the machine learning. Ive seen, when I was back in finance, so when I was an investor myself, Ive seen numerous companies that claimed they do machine learning. Its more like a typical failure example, you have a technology and you look for a solution. Most of the cases that doesnt work. So, Ive seen companies apply machine learning to industries that would never make any money, or to industries that are not growing, so this is also, I think its one of the lessons that Ive learned in a hard way, as well, to really first think about what is the solution you want it to solve rather than think Im just going to run a machine learning company. I feel that might be a little bit tough.Martin: Sure. Ok, great.ADVICE TO ENTREPRENEURS FROM VINCENT YANGMartin: Lets talk briefly about your learnings and advice that you can give to first time entrepreneurs. What have you learned over the last years?Vincent: Ive learned so many, many things in a past. How do I start, so the couple of things.One is I think in hiring, I made a few mistakes in hiring. And its very, very important for first time entrepreneurs to have a really strong principle and discipline in hiring. Dont hire your best buddies in your high school, dont hire your uncles and cousins just because that you know each other for 15 years. Or dont hire people because theyre just good in interview and never do reference check. So, really have a discipline in hiring. If you hire the wrong people, this could literally kill the company. Product strategy, if that wasnt right, thats fine, you could eventually pivot, but hiring could kill a company. So hiring I think is the fundamental part.And second is really to dream big. Obviously, a lot of the people say Oh, just think big! but its actually very hard to do. When Im interviewing with so many people, now we are hiring a lot of executive, and you ask them to think big, you ask them how the industry will look like. Well, it turns out most of the people do not have the capability to think big. You do not even practice. So constantly you should ask yourself the question Right now, theres Micro soft, theres Oracle, but what are the new products that could come up that could totally disrupt Microsoft? What are the new products that could disrupt the total CRM industry? What are the new products that could disrupt whatever the traditional DSP technologies? So, these are the questions you really need to ask yourself every day as a brain exercise. Thinking big is very, very important. In the past, in the early days, we actually did not think big. We tried to see, we just narrowly focused were all into this thing so eventually weve become a big ship in a small pond. We can never go anywhere. So, we would rather be, lets find the big ocean. Even if you start as a small ship, because the ocean is so big, theres a tons of ways that you could gradually become really, really big, gigantic ship.Martin: It is very interesting what you just said, because in Europe, a lot of investors say Maybe you should start in the niche market where you could create the big market share and maybe on ce in a time later on you can move to other markets.Vincent: Obviously, you need to start small. I understand, thats definitely true. But, in my opinion, you really want to make sure that industry is big enough that could have so many different players in the space and theres so much room to grow and then there are so many modules and features you could really bring to the industry. And also, industry is old enough that you could disrupt. If you really start with very, very small, without even looking at the industry, you might end up taking a 100% of the market share of the industry thats in total 5 million dollars.Martin: Vincent, you said that hiring is key, I totally understand. What are focusing on when somebody sits in front of you and you want to test whether hes the right guy or girl to join your company?Vincent: It depends on the level that Im interviewing, whether its a junior level engineer, a senior level data scientist, or executive level product officer. Ill focus on t he mid level and above, because junior level is more skill set testing, not too much on the other things. Middle and above, I focus on the mistakes that they have made. I would usually ask how many mistakes that you have made and what have you learned from your mistakes? So, if people say No, Ive not made any mistakes, I would rather see people making lots of mistakes and learn from that, even in EverString, we make mistakes, too. But this is a new space. If you dont stretch yourself too much, you will never be able to grow. This is the thing that I think I benefit the most from is always, every day to go outside of my comfort zone. Every day to try something new, because thats the evolvement of yourself, as I think is the true purpose of human beings, and I find that I learned a lot achievement by doing that. So, coming back to the hiring question, the question I always ask is How many mistakes you have made? The second question I usually ask is If I do a reference call to your sup ervisor and to your peers, what would they say about you? What are the critiques that you think they will say about you? This is really to test whether they have good self awareness of them. If you join Oracle, Microsoft, thats fine, you go there and you work, but if you join an early stage company, the things that were doing nobody have done before. For sure, we will make mistakes, but we want someone that have a very strong self awareness, that every day could reflect and know what did I do right, what did I do wrong, and with this the whole team could grow very far away.Martin: Are there any further learnings you would like to share with our audience?Vincent: I think that the other learning that I have is really just to have the courage to start, if you talk about the general starting up a company. And most of the people that, if you dare to think, and most of the people have very high safe net. Similar to my former background working finance, working Wall Street, you have relati vely high income, and as long as you dont make mistakes, you have a very safe track to be a managing director in a private equity firm or something. You have a high income but if, at the end of the day, when you die, you ask yourself what an influence did you bring to the world and you might think Maybe not too much. So, this is the one that, most of the companies that I see or my friends, their companies, a lot of them fail in the seed round. And the main reason why they fail is not because the product doesnt fit, its that founders give up. The reason why the founder give up is theyre constantly evaluating If I go to work in McKinsey heres how much Im going to make, and in company I make nothing, so every day theyre evaluating their opportunity costs and their salaries in the start. I think thats not the right way to think about it. Burn the bridge, never even think about the opportunity costs and keep going. I think thats kind of one of the strongest lesson that I learned. If you could really be committed, think about the question when you die what are the things you really leave the worlds. What are the things that really pushed the mankind and all the organizations forward, even a little tiny step? And if youre thinking this way, you will find running a company is the single best carrier in a life. Dont do consulting, dont do banking, thats the waste of your life.Martin: Great. Thank you very much, Vincent. And now you should think about what should you do in your life. Maybe start a company.Vincent: Thanks, Martin.

Harriet Tubman And Five Greatest Leaders - Free Essay Example

Sample details Pages: 3 Words: 845 Downloads: 3 Date added: 2019/05/31 Category History Essay Level High school Tags: Harriet Tubman Essay Did you like this example? Comparing Harriet Tubman to five of the worldrs greatest leaders of all time, I will compare her to Adolf Hitler, Genghis Khan, Cesar Chavez, Gandhi, and Martin Luther King JR. Though some of these leaders believed in peace and were non violent, some of these leaders like Genghis Khan are notorious for their brutality. Something that a lot of them had in common is that they all led a great fight for what they believed in. Adolf led all of Germany in his quest of supremacy and genocide, like Genghis Khan got an entire empire together to conquer the world. While Martin Luther King JR had revolutionized an entire country to bring equality and peace to light, Gandhi revolutionized the world with his message of world peace. Don’t waste time! Our writers will create an original "Harriet Tubman And Five Greatest Leaders" essay for you Create order Harriet Tubman was an outstanding lady who fought relentlessly in her battle for equality. Much like Gandhi, she was a civil rights activist. She had also led a nonviolent battle. She escaped what would have ultimately kept her down, and made a stand. She was also an abolitionist like Gandhi. She fought relentlessly to abolish the cruelty of slavery and racism that not only riddled our country, but rather riddled the countries surrounding us as well. But, where she and Gandhi differ, is that Harriet Tubman did not run a religious campaign though Gandhi did. She also had similar traits to those of Genghis Khan, though they had very different battles and had very different ideas. While Genghis Khan had sought out to take control of the entire world, Harriet Tubman had sought out to save the world and put an end to all the hatred that had taken over the southern United States. Genghis Khan is notorious to this day for his brutal force and violence he used in his expedition to conquer the world as well as his relentlessness, while Harriet Tubman is also known for her relentless fighting spirit but was not a violent protester. also, Harriet Tubman was an activist, rather than a ruler of an empire that sought world domination like Genghis Khan. Although both were outstanding civil rights leaders for african americans in the United States, they still had some differences. Martin Luther King JR fought for the same things as Harriet Tubman, but he was wealthy and had not suffered the same brutality that Harriet Tubman had suffered. Alo, Martin Luther King Jr was a wealthy scholar. Harriet being a former slave, she had no money to afford an education and she lived rather poor. They were both very influential characters in the civil rights movement, both led non violent campaigns, and both were extremely determined to make a change happen in our country so that we can have the level of equality that we have today. Another nonviolent civil rights activist was Cesar Chavez who also led a humongous revolution in the United States. While Harriet Tubman fought for the rights of the African American community, Cesar Chavez managed to create equality for the Chicano, or mexican american, community in America. They had both suffered the abuse of the white people who had attempted to hold them down and treat them as property rather than actual people., but still maintained their nonviolent stance. Cesar Chavez lost his home, and went into a deep depression afterwards. But harriet tubman didnt have a home, he went out and found a place to call home after escaping the slavery in the South. I found it surprising that with all she faced, Harriet Tubman never fought back violently, because with all the abuse she took, it must have taken even more courage to not fight back, but to fight back in peaceful protests. Another fact that I found to be surprising, is the that Harriet and someone as evil as Adolf Hitler did have something in common. Though the only similarity is that they both do everything in their power to secure their belief of a better future, it is still a similarity between them. Another fact that i found to be quite interesting, was the depression of Cesar Chavez. I would not have guessed that someone who had fought so hard and had so much determination, would then become even after winning his fight for equality. Also, I found it interesting that even with all the things Gandhi had went through, he remained such a peaceful man and never caused any harm to anyone. Finally, I found it to be very interesting the strength of Harriet Tubman. Rather than remaining hidden after escaping the south, she became an activist and fought for the entire country to be freed. In conclusion, through all the struggles and battles Harriet went through in her life, she was a very strong woman and made a great difference. Also, though these great leaders had their similarities, they were also very different from each other. These leaders each led an amazing fight for their beliefs, no matter if their belief was a good belief or a bad one. Either way, they are the worldrs greatest leaders of all time.

The Reality of Hookahs - 942 Words

In todays society, smoking is a trend where people of all ages are doing. People smoke anything from cigarettes to hookahs. Hookahs are generally becoming popular throughout the generation. The hookahs are mainly used in bars, cafes, and in peoples own home. People do hookahs to have a great time with friends without knowing the consequences that they produce. If people are aware of the consequences of smoking anything from hookah to cigarettes may be used with the acknowledge of the effects. Many people are not aware of the consequences that hookahs have. Hookahs may have the same effects of a cigarette or worse. Hookah may be a disease spreader if not careful. Some people think that hookahs are just water vapor with flavoring,m not†¦show more content†¦Smoking tobacco is also said to relax people. Smoking tobacco can lessen pain in mental illness like anxiety and schizophrenia. Hookahs in public places may disturb nonsmokers. The odor of the charcoal and the tobacco smell may be uncomfortable for people that are not used to smoking. People that smoke hookah tend to not know where to blow there carbonated air. Many nonsmoker receive the carbonated air of second hand smoke in their face. The smell of the hookah may hitch on to nonsmoker. There is a new invention called electronic cigars. Electronic cigars carry the same amount of nicotine. But electronic cigars only use water vapor, instead of exhaling carbonated gas with toxic chemicals. Electronic cigars can be used in public place where tobacco is not allowed. The modern cigar is odorless, contrast to the strong odor of tobacco. Electronic cigars are weightless and can be carried around anywhere, in contrast to hookahs. The modern cigars doesn’t need a lighter or charcoal to work. The electric cigars don’t have the charcoal toxins like hookahs. Electronic cigars are a big alternative to hookahs because they contain the same effects of the nicotine use. People get addicted because of misunderstandings. People think that the water in the hookah filters out the toxins. Another thing people misunderstand is the flavoring of the hookah. People think that the flavoring of the hookah is not tobacco. People waste most of their money on hookahs. Hookahs are smoked on a dailyShow MoreRelatedSmoking Essay1322 Words   |  6 Pagesintentionally, similarly as though you pay a fee at the door or willfully smoked a cigarette yourself. The wellbeing sway, wellbeing expenses and uninvolved smoking reasons dont hold up, so the counter smoking person should discover another reason. The reality of the matter is that youngsters may be some place close to a smoker through no decision of their own and this may possibly expand wellbeing dangers. Given that we will more critical child rearing slip-ups and more significant child raising choicesRead MoreImagery, Particularly Of The Ottoman Empire1430 Words   |  6 Pagesand crisp lines. Ingres is, after all, a classicist and linearist (King 69). On top of her brown her sits a turquoise and gold turban. Her elongated right arm holds a peacock feather fan as her left foot grazes a similarly coloured turquoise hookah. The hookah is often used in Orientalist paintings to signify that the women are dreamy and ethereal (Alloula 74). She is relaxed and at ease before intercourse, her occupation is otherworldly and multi-dimensional. The nature of women in this paintingRead More5 Things Not to Say to Someone Trying to Stop Smoking2714 Words   |  11 Pagescompelling, our study took a gander at genuine use over the long haul, said study lead creator Hillel Alpert, an examination researcher with the Harvard School of Public Healths Center for Global Tobacco Control in Boston. Whats m ore in this present reality, cigarettes are essentially an effective fixation. Also NRT is clearly not a viable substitution for that fixation. 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And contrary-wise; what it is it wouldnt be, and what it wouldnt be, it would. You see?† - (Alice, 1951 movie version). After the tea party she disappears off into the forest where she meets a Caterpillar sitting on a mushroom smoking a hookah. The Caterpillar and Alice get into an argument, but before the Caterpillar crawls away frustrated at Alice, he tells Alice that different parts of the mushroom will make her grow or shrink. Alice eats a little part of the mushroom making her neckRead More Lysergic Acid Diethylamide Essay1609 Words   |  7 PagesLucy in the Sky with Diamonds and White Rabbit mirror each other in their association with LSD and their allusions to Alice in Wonderland, but looking into these songs more deeply it is obvious that both artists were writing about escape; escaping reality. Lysergic Acid Diethylamide is a hallucinogenic drug that alters the way the user perceives the world around them. LSD alters your sense of direction, distance, and time (KidsHealth). 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He also hides himself from society and enjoys spending his days â€Å"smoking a long hookah,† (Carroll) but he could All of these examples introduces our class system. The working class were men and women who did physical labor, were paid weekly and â€Å"earned just enough to stay alive† (Sally). The Middle Class was a â€Å"diverse group that included

Saphenous Vein In Varicose Veins Health And Social Care Essay Free Essays

Aim: To find the efficaciousness of complete GSV denudation in footings of morbidity, nerve hurt and return rates. Methods: 42 patients with unsophisticated one-sided and/or bilateral varicosities affecting the great saphenous system were included in this survey. Patients with primary and/or recurrent varicose venas associated with active or cured ulcers, patients with bleeding diathesis and those who failed to subscribe the proforma for regular followups were excluded from this survey. We will write a custom essay sample on Saphenous Vein In Varicose Veins Health And Social Care Essay or any similar topic only for you Order Now Complete denudation of great saphenous vena up to the mortise joint, together with multiple phlebectomies was performed in all patients. Postoperatively, limbs were examined for complications like bruising, hydrops, wound site infections and centripetal abnormalcies. All the patients were followed up for the period of one twelvemonth for return and betterment in centripetal abnormalcies. Consequences: All the patients belonged to CEAP category 2 or greater. The average age of patients in this series was 33 old ages ( run 20-48 old ages, SD + 8.24 ) . There were 31 ( 74 % ) were males and 11 ( 26 % ) were females. Majority of the patients presented with blunt hurting in legs. 9 ( 21.4 % ) patients presented with bilateral varicosities affecting the GSV, whereas 20 ( 47.6 ) and 13 ( 31 % ) patients presented with right and left sided disease severally. 7 patients presented with some centripetal abnormalcies at foremost follow up. These were impermanent and spontaneously subsided within 4-6 hebdomads. None of the patient came back with return within a average follow-up period of one twelvemonth. Decision: We conclude that since lasting complication rates do non significantly differ from those secondary to knee degree denudation of GSV and with a low return, and reoperation rates, abandoning complete denudation of the saphenous vena to the mortise joint is non the right determination presently. Cardinal Wordss: G S V, entire denudation, saphenous nervus hurt Introduction: Varicose venas are the most common of all the vascular upsets that affect worlds. Visible varicose venas affecting great saphenous system ( GSS ) affect 10-15 % of work forces and 20- 25 % of women1. The purpose of the intervention for this awful disease is to obtain an acceptable consequence in footings of cosmetics and to alleviate patient A ; acirc ; ˆâ„ ¢s ailments. Different mode of interventions for varicose venas include compaction stockings, froth sclerotherapy and assorted intravenous extirpation techniques 2-4 ; nevertheless the most acceptable intervention for primary varicose venas remains flush ligation of sephano-femoral junction, partial/complete denudation of Great Saphenous vena ( GSV ) and multiple phlebectomies5. Though serious complications are rather uncommon, the process may do considerable early morbidity, including bruising, cutaneal nervus hurt, hematoma, hurting and uncomfortableness in the inguen and leg, and hazard of lesion infection6,7. Limited a rticulatio genus degree denudation has been widely accepted as the gilded criterion operation for varicosities affecting the GSS. This attack is associated with important decrease in hurt to saphenous nervus. However, the hazard is non wholly eliminated as reported in different series8, 9. Restricted denudation of GSV to the articulatio genus degree on the other manus is associated with a high return in the residuary segment10. This completely nullifies the advantage of articulatio genus degree denudation of GSV and doing complete denudation of the vena up to ankle degree an attractive option. This prospective survey was designed to find the efficaciousness of complete GSV denudation in footings of morbidity, nerve hurt and return rates. MATERIAL AND METHODS: From July 2006 to June 2009, this prospective survey was carried out at Liaquat university infirmary and different private medical centres of Hyderabad metropolis. In entire, 30 patients with unsophisticated one-sided and/or bilateral varicosities affecting the great saphenous system were included. Patients with primary and/or recurrent varicose venas associated with active or cured ulcers, patients with bleeding diathesis and those who failed to subscribe the proforma for regular followups were excluded from this survey. The diagnosing and degree of incompetency were confirmed by manus held Doppler ultrasound. Informed consent was taken and patients were given autonomy to go forth the survey at any point without saying any ground. Operative Technique: All patients were operated under spinal block. Injection Cephradine 1gm was given as prophylaxis. The scratch was placed 2cm above the median melleolus. The Great saphenous vena ( GSV ) was identified and separated carefully from the chief bole of Saphenous nervus. Once stray, the GSV was ligated, and olive-head stripper was introduced through a rent in the distal portion and negotiated to the proximal portion. The distal leftover was cut and so ligated utilizing vicryl plus 2.0. Another 3-5cm scratch was made at the sapheno-femoral junction, 2 centimeter below and sidelong to the pubic tubercle. Feeders of GSV were identified and ligated. A little scratch was so placed at the tip of the stripper ; the vena was ligated utilizing vicryli? ‘ 1 and was so stripped from below-upwards. Multiple phlebectomies were done for big bunchs of venas as the state of affairs warranted. Wounds were closed utilizing vicryli? ‘ 000 for tegument and chromic 00 for hypodermic tissue. The lim b was covered with elastic patch, applied in caudo-cranial way. Patients were encouraged for light walk on the first operative twenty-four hours and were discharged from infirmary on 2nd post-operative twenty-four hours in instance of uneventful recovery. The follow-up agenda was designed at 1st, 4th, 8th and 12th hebdomads of surgery. During each visit, limbs were examined for complications like bruising, hydrops, wound site infections and centripetal abnormalcies within the distribution of saphenous nervus utilizing cotton-stick. The abnormalcies were characterized as paresthesia and dysthaesia. All the patients were followed up for the period of one twelvemonth for return and betterment in centripetal abnormalcies. Consequence: All the patients belonged to CEAP category 2 or greater depending upon the badness of the disease. This is depicted in item in table I. Table I: Clinical Phase of the Disease CEAP Classification No of Limbs ( n= 51 ) Percentage Class 2 30 58.8 Class 3 14 27.5 Class 4 7 13.7 The average age of patients in this series was 33 old ages ( run 20-48 old ages, SD + 8.24 ) . Amongst 42 patients in entire, 31 ( 74 % ) were males whereas 11 ( 26 % ) were females. Majority of the patients presented with blunt hurting in legs, followed by dark spasms, weightiness on drawn-out standing. With comparative frequences, remainders of the symptoms are elaborated in table II. Table II: Symptom Profile of the Patients Symptoms No Of Patients ( n= 42 ) Percentage Pain 14 33.33 Night Cramps 09 21.4 Heaviness on Prolonged Standing 11 26.2 Rubing 06 14. 3 Skin Changes 01 2.4 Cosmetic Concerns 01 2.4 In this series, 9 ( 21.4 % ) patients presented with bilateral varicosities affecting the GSV, whereas 20 ( 47.6 ) and 13 ( 31 % ) patients presented with right and left sided disease severally. In entire, 19 limbs out of 51, showed bruising in station operative period, whereas 7 and 4 developed lesion infection and hydrops ( fig I ) . In this series, 7 patients presented with some centripetal abnormalcies at foremost follow up. Figure I elaborate these abnormalcies in item. They were impermanent and spontaneously subsided within 4-6 hebdomads. None of the patient came back with return within a average follow-up period of one twelvemonth. Figure I: Post-Operative Complications Discussion: Nerve hurt is a recognized morbidity after varicose vena surgery. The most normally affected nervus is the saphenous nervus, which is at hazard of hurt during denudation of the GSV, peculiarly when the vena is stripped to the ankle11. Complete denudation, nevertheless, is associated with a low return rate compared to knee degree denudation of the vein12, 13. The argument between complete denudation of the great saphenous vena ( GSV ) up to ankle versus partial depriving up to knee degree continues. The reported incidence of nerve hurt following GSV depriving varies between 23-58 % 9, 15, 16. This was a clinical survey with simple methodological analysis and consistent consequences. In this series, the centripetal abnormalcies were noted in 20 % patients. This is comparable with other surveies describing more or less the same incidence8, 10. Lofgren et al14 showed that GSV depriving from the inguen to the ankle brought good-to-excellent consequences in comparing to high ligation of the GSV entirely vis- A ; Atilde ; -vis centripetal morbidity, with a success rate of 94 % and 40 % , severally. Dwerryhouse et al17 reported duplex-confirmed reflux in one one-fourth of limbs that underwent restricted denudation of the GSV, at the 5-year followup, connoting that this pathology might finally show itself as recurrent varicose venas. These findings besides suggest that Orthodox method of depriving the vena up to the articulatio genus may forestall the harm to sephanous nervus but at the cost of a high return rate. GSV depriving at mortise joint is besides being shown to better q uality of life in early post-operative period7. We have observed that depriving in upward way, utilizing little olive can go through towards the inguens easy with less nerve harm. Cosmetic consequences were besides satisfactory. None of our patient came up with return during the mean follow up period of one twelvemonth. The restrictions of survey were comparatively little size and its descriptive methodological analysis. For the reflux in the full GSV ( inadequacy in the whole GSV ) , the intervention of pick is complete denudation of the GSV to the mortise joint with high ligation and phelebectomies because of low complication and return rates. Nerve hurt may happen after both complete and partial denudation and symptoms of nerve hurt are transeunt and mild. We conclude that since lasting complication rates do non significantly differ from those of other intervention methods evaluated along with high success, low return, and low reoperation rates, abandoning complete denudation of the saphenous vena to the mortise joint is non the right determination presently. How to cite Saphenous Vein In Varicose Veins Health And Social Care Essay, Essay examples

crime ; punishment Essay Example For Students

crime ; punishment Essay Crime and PunishmentMy topic for this paper is Crime and Punishment. There are several different issues on this subject. We chose three main points to talk about: The Crimes, the People who solved them, and the different types of punishments. These are the topics we chose for our report. Crime in the nineteeth century was rapid though out London. But because of all of the poverty and sickness in the streets, crime was the only way to survive. Most of the crimes that took place in London were crimes that involved stealing. Pickpocket gangs and street gamblers were a regular sight when walking down a major London street. Prostitution was also a big money maker on the streets, done by both girls and boys. But crimes though out the middle class and rich were mostly property crimes and disputes which made up 90% of all crimes committed by the upper-class. In Victorian England and like today there a two categories which crimes fall under. Indictable which is the same as our felony crimes that make up all of the major crimes. These crimes consist of: Murder, armed robbery, burglary, larceny, rape, and assaults on the police. The next called category is called Summery crimes which is equal to our misdemeanor crimes. Summery crimes were all minor crimes such as: Property cr imes, Vagrancy, Drunkenness, Prostitution, Minor Larceny , and all other minor offenses. Probably the most famous criminal in the Victorian period was Jack the Ripper . Jack the Ripper was the first modern sexual serial killer ( Sugden, pg.2) Jacks trademark was the killing of female prostitutes. But not only did he kill them, he would surgically remove organs and intrails and place them near the dead body. Jack the Ripper wasnt his only nickname, he was also called the Whitechaple murder because the bodys were found near the Whitechapel Road, and The Leather Apron because of a man that would come by and beat up the prostitutes for no reason. Jack the Ripper is credited for 9 killings, but police think that he might be responsible for more. All of the killing accrued with in one square mile. Jack is described as carrying a long knife in which he would cut open his victims, and a black Gladstone bag, the contents of which is unknown. ( Sugden, pg.1) Jack the Rippers identity is unknown which is probably why this case is so famous. It is rumored that Jack the Ripper was a member of the royal family, and that people knew of his identity but wanted to keep it a secret. The London Metropolitan Police system was created in 1829, after the public need for security has been told to the government. The Police Department consisted of 3000 policemen. The Policeman then were poorly paid. A constables usual pay was 19 shillings, a week. An inspector got around 2 pounds, and some of that money was taken off for the cost of there uniform. There uniform was a blue tail coat with there number and letter of their division on the collar and hat. There only weapon was a short wooden baton. The government had a hard time finding recruits. Most of there men were old soldiers, and many of them were dismissed from the force for drunkenness. Later on the force started to become a real Police force, and the people of London appreciated it. The officers also were given many nickna mes such as: Blue devils, peeler, and bobby. In 10 years the London Metropolitan Police Force cut the number of crimes in London by half. The crimes in Victorian England did not go without its punishments. In early Victorian England Public hangings were watched by many people, and the stocks were placed in the center of town where people would look at you and even beat you and humiliated you. But in 1838 the ending of all public tortures and executions gave way and became out lawed. .u537f7780c7d174c882e4900fb5a062b6 , .u537f7780c7d174c882e4900fb5a062b6 .postImageUrl , .u537f7780c7d174c882e4900fb5a062b6 .centered-text-area { min-height: 80px; position: relative; } .u537f7780c7d174c882e4900fb5a062b6 , .u537f7780c7d174c882e4900fb5a062b6:hover , .u537f7780c7d174c882e4900fb5a062b6:visited , .u537f7780c7d174c882e4900fb5a062b6:active { border:0!important; } .u537f7780c7d174c882e4900fb5a062b6 .clearfix:after { content: ""; display: table; clear: both; } .u537f7780c7d174c882e4900fb5a062b6 { display: block; transition: background-color 250ms; webkit-transition: background-color 250ms; width: 100%; opacity: 1; transition: opacity 250ms; webkit-transition: opacity 250ms; background-color: #95A5A6; } .u537f7780c7d174c882e4900fb5a062b6:active , .u537f7780c7d174c882e4900fb5a062b6:hover { opacity: 1; transition: opacity 250ms; webkit-transition: opacity 250ms; background-color: #2C3E50; } .u537f7780c7d174c882e4900fb5a062b6 .centered-text-area { width: 100%; position: relative ; } .u537f7780c7d174c882e4900fb5a062b6 .ctaText { border-bottom: 0 solid #fff; color: #2980B9; font-size: 16px; font-weight: bold; margin: 0; padding: 0; text-decoration: underline; } .u537f7780c7d174c882e4900fb5a062b6 .postTitle { color: #FFFFFF; font-size: 16px; font-weight: 600; margin: 0; padding: 0; width: 100%; } .u537f7780c7d174c882e4900fb5a062b6 .ctaButton { background-color: #7F8C8D!important; color: #2980B9; border: none; border-radius: 3px; box-shadow: none; font-size: 14px; font-weight: bold; line-height: 26px; moz-border-radius: 3px; text-align: center; text-decoration: none; text-shadow: none; width: 80px; min-height: 80px; background: url(https://artscolumbia.org/wp-content/plugins/intelly-related-posts/assets/images/simple-arrow.png)no-repeat; position: absolute; right: 0; top: 0; } .u537f7780c7d174c882e4900fb5a062b6:hover .ctaButton { background-color: #34495E!important; } .u537f7780c7d174c882e4900fb5a062b6 .centered-text { display: table; height: 80px; padding-left : 18px; top: 0; } .u537f7780c7d174c882e4900fb5a062b6 .u537f7780c7d174c882e4900fb5a062b6-content { display: table-cell; margin: 0; padding: 0; padding-right: 108px; position: relative; vertical-align: middle; width: 100%; } .u537f7780c7d174c882e4900fb5a062b6:after { content: ""; display: block; clear: both; } READ: Survival in Auschwitz Essay These things lead to the building of prisons. In 1730 the prisons were at there worst and were not made for long term offenders. These prisons were so bad because they were privately