Schizophrenia †A Brain Disease

Schizophrenia †A Brain Disease Free Online Research Papers Schizophrenia is an ailment of the mind that meddles with ordinary cerebrum and mental capacity. This sickness influences the patient, however the patients family also. Discovering that an individual is schizophrenic is startling and potentially decimating. Living with schizophrenia is conceivable with treatment and drug. Schizophrenia is portrayed by the conviction that the patient hears or sees thing that are really not there. Visualizations are just one of the numerous manifestations a schizophrenic individual and their family needs to persevere. The cerebrum is the central point in schizophrenia. It triggers pipedreams, fancies, distrustfulness, and absence of inspiration. Schizophrenia has three periods of movement: Prodromal, Active, and Residual. The significant qualities of the prodromal stage are wretchedness and irrational dread of a person or thing. During the dynamic stage the patient experiences mind flights and confounded reasoning and talking. The leftover stage is the point at which the malady gets simpler to oversee and live with. The patient may even have the option to recapture social and employment abilities. All the more then 2,000,000 Americans experience the ill effects of schizophrenia. Schizophrenia influences men, ladies, the old, the youthful, and individuals all things considered. Side effects in men show up prior then they do in ladies. Guys may create side effects in their late youngsters or mid twenties, while, manifestations in ladies surface by and large in their late twenties to mid thirties. Schizophrenic side effects either show up abruptly or they might be progressive. Due to the postponement in side effects numerous individuals abandon treatment until the illness is in its propelled stages. In this way, making it harder to treat and control. Schizophrenia has no demonstrated reason. It might be a hereditary issue, however may likewise be identified with issues that happen during pregnancy. Research has uncovered that schizophrenia might be the aftereffect of the communication of specific qualities, or because of harmed parts of qualities. There is additionally conflicting exploration recommending the malady may not be hereditary on the grounds that a great many people with a schizophrenic relative won't create side effects. Hunger or viral diseases during pregnancy might be a reason for schizophrenia in view of the negative effect on the developing fetuss creating sensory system. What expands your danger of being determined to have schizophrenia? The most serious hazard factor is having hereditary manner, which means you are identified with somebody previously analyzed. On the off chance that you have endured a cerebrum injury during fetal turn of events, or had complexities during birth, an absence of oxygen to the mind during birth may expand your hazard. Progressing research shows that if a dad is more than 50 years old at origination the youngster is at more serious hazard. In spite of the fact that examination isn't straightforwardly correlative to the malady, having a substance misuse issue may expand your hazard. Yet, explore shows that a schizophrenic individual may likewise be at a more serious hazard to have a substance misuse issue. Schizophrenia is determined to have the utilization of clinical history, physical test, and a psychological wellness appraisal. To preclude illnesses with comparable indications, blood tests, CT filters, or a MRI might be performed. So as to be precisely analyzed, the patient must involvement with least two side effects for at any rate multi month, and not have some other emotional wellness issues. Individuals with schizophrenia regularly endure frightening indications, for example, hearing inside voices, accepting that individuals are guessing their thoughts, controlling their contemplations, or plotting to hurt them. These side effects may leave them dreadful and pulled back. Their discourse and conduct can be disarranged to the point that they might be startling to other people. Individuals with schizophrenia frequently experience issues interfacing with individuals on a social level. They additionally experience issues changing in accordance with new circumstances, expertly and actually. Numerous individuals whom existence with Schizophrenia lose their positions, and are always unable to work once more. Research Papers on Schizophrenia - A Brain DiseasePersonal Experience with Teen PregnancyGenetic EngineeringArguments for Physician-Assisted Suicide (PAS)The Masque of the Red Death Room meaningsThe Fifth HorsemanThree Concepts of PsychodynamicResearch Process Part OneInfluences of Socio-Economic Status of Married MalesThe Relationship Between Delinquency and Drug UseIncorporating Risk and Uncertainty Factor in Capital

Occupy Wall Street Movement Research Paper Example | Topics and Well Written Essays - 1500 words - 1

Involve Wall Street Movement - Research Paper Example Involve Wall Street stays critical in the US corporate, political and monetary history due to the suggestions it brought along, as will be seen forthwith. 1. Good and Economic Implications Involved In the Movement So significant are the ethical ramifications of OWS that to avoid them is to disregard the very factors that prefaced and set off the development, since the beginning of OWS remains on moral grounds. The ethical ramifications of OWS is exceptionally positive and tending towards moral contemplations, given that members in OWS charged that any monetary framework that urges the lion's share to bear the weights of the decision class and rich entrepreneur owners’ abundances and to settle the expenses of inchoately run enterprises (through the majority’s wellbeing or money related qualities or both) is corrupt and unsatisfactory. Balderston (2012) uncovers that note that the ethical ramifications of OWS are inseparably interwoven with the financial ones. Especially, the financial ramifications of OWS was what voiced and bolstered moral worries of the country’s economy, since OWS was strong that any monetary framework that enhanced an amazing and all around associated not many to the detriment of the larger part and by utilizing the lion's share, is deceptive, ill-conceived and in this manner, unsuitable. One of the zones in which this issue was challenged is pay disparity. OWS nonconformists properly contended that pay disparity had been extending throughout the most recent three decades, with the summit of this advancement being the inconsistent dissemination of monetary qualities and financial stagnation. This circumstance would thus prompt the alleviating of the workers’ energy. Once more, the thought of moral and monetary ramifications is exemplified by worries that OWS publicized, concerning the impact that cash had on legislative issues and obligations (understudy advances, home loans and Mastercard obligations), the incons istence that portrayed the obligations of individual borrowers and those of large money related associations, in the wake of the 2008/9 worldwide financial downturn. To propound good and financial ramifications of the OWS, the development avowed that all prospering is shared. The assessments of the development proceeded with that since the world is interconnected and associated, any harm that would be fashioned on any part would undermine the acknowledgment of the mind boggling entirety. Along these lines, each person, regardless of how rich and incredible, has the duty to regard certifiable commitments of sympathy and equity to future and present ages of all. 2. Breaking down every one of the suggestions distinguished above against the utilitarian, Kantian, and uprightness morals to figure out which hypothesis best applies to the development The good and financial ramifications talked about above additionally go submit glove with the viewpoint that utilitarians take. The veracity o f this point of view is found in the way that utilitarianism vouches for the best useful for the most noteworthy number [possible]. The materialness of the ethical ramifications which expressed that any monetary framework that propels the lion's share to bear the weights of the decision class and rich industrialist owners’ abundances and to settle the expenses of inchoately run enterprises (through the majority’s wellbeing or money related qualities or both) is unethical and unsatisfactory to utilitarianism is that the larger part who are the monetarily persecuted and abused

Mosquitoes or Socioeconomic Ha essays

Mosquitoes or Socioeconomic Ha papers Mosquitoes or Socioeconomic Hardships? The scene of the well known witch preliminaries was in the time of 1962, starting vulnerable, unforgiving, winter of New England in 1961. A gathering of inquisitive, little youngsters, with the inspiration from the family unit slave from West Indies, were attempting to see into the future by getting messages from a crude egg in a glass loaded up with water. These deeds obviously brought about unbelievable practices performed by the young ladies, the specialists, and residents of the Salem people group. Who might have imagined that this straightforward and open movement would bring about such an outrage? At the beginning, of the odd dispositions appeared by the little youngsters, allegations of black magic had suspended to the scene, which is the thing that made this embarrassment of such high gravity. In view of the way that Salem was administered carefully on the premise and standards of the Bible, black magic was clearly a grave offense and was followed up on fittingly. At the poin t when these prosecutions were dealt with by the judges of the general public, numerous residents were sent to prison and put to preliminary. Nineteen individuals of who were summoned of witchery were attempted and hanged and hundreds were sent to jail to sit tight for their preliminary, until the court procedures were stopped, in May of 1963, by the legislative leader of the province, Sir William Phips, and discharged the individuals who were in prison. For quite a long time and years students of history have endeavored to get to the base of the thinking behind this strange widespread panic that cleared all through a major segment of New England. The quantity of clarifications for the Salem witch preliminaries is exceptionally enormous, which makes the subject a great deal more interesting. Black magic allegations and preliminaries were held when the ones at Salem, yet generally they happened when monetary hardships, political nervousness, and additionally social worries were being organized in the towns. The financial hold-ups are a piece of the fundamental legitimization that one of the history specialists uses to discuss t... <!

The Bad Boyfriend, the Decent Boyfriend

With regards to kinds of beaus out there, folks fall into three classifications the awful sweethearts, the OK sweethearts, and perfect suitor. The terrible beau is the person that doesn't treat his better half the manner in which she has the right to be dealt with and will in general follow young ladies with low fearlessness on the grounds that sincerely he was unable to get some other young lady. He does numerous things to her including cheating, lying, manhandling, utilizing, and not addressing her needs. He undermines her again and again realizing she will take him back. He may intellectually or truly misuse her creation her vibe awful or sad.He utilizes her for what she can offer him and nearly anticipates it as it were. A great deal of terrible beaus don't meet their girlfriend’s needs. He doesn't focus on her needs, as, or needs. He does this since he essentially couldn't care less for her. This kind of beau is the most minimal all things considered, and on the off chanc e that you are this person, at that point you have to comprehend that she will in the long run get a spine and dump you. The following kind is the respectable beau; this is the sweetheart that attempts once in a while. He attempts to comprehend what she needs and needs and attempts to offer it to her.He doesn't know precisely what she needs yet attempts to satisfy her with whatever he knows. He cherishes her yet wishes she was less annoying and gets annoyed with it as opposed to attempting to fix the issue. He coexists with a portion of her loved ones. The better than average sweetheart would prefer to sit in front of the TV or play computer games at that point talk or home base with his sweetheart. He may not be exceptionally sentimental and he will barely ever amaze her with things or events. He doesn't care for desires put on him by her and he make an effort not to do anything with the goal that she won't begin to expect stuff.This sort of sweetheart satisfies her somewhat yet do esn't generally get her and put exertion into get her. This person makes ladies question a ton of things and experience temperaments of feeling better and feeling irate. The disarray shows itself as outrage or tears for the most part which makes him increasingly confounded and hurt her more. On the off chance that you are this person you have to begin reexamining on how you go about connections. You are never going to be in a solid and great connection with a young lady until you begin conveying appropriately and understanding her needs and meeting them. The last kind of beau would be ruler charming.Obviously this person is a trick and ladies couldn't want anything more than to have him as a sweetheart. He's not without certain flaws yet with regards to their relationship he invests more energy in then the different folks. His attributes would include: he comprehends what she needs inwardly, he conveys well which incorporates both talking and tuning in, he doesn't lie or utilize her however rather shares his existence with her, he shows restraint toward her and her feelings and he is consistently there for her to incline toward. He astonishes her with things that give her the amount he thinks about her, he doesn't let her get down on herself and rather lifts her up.And last he sees her as a sweetheart and a closest companion. This person gets his lady and on the off chance that he doesn't get her, at that point he makes sense of how to satisfy his lady. He's not a sucker but rather he's truly a pleasant person who thinks about her and her emotions. Obviously there are numerous different sorts of sweethearts however these are the primary three that I have discovered that my past beaus have fallen under, aside from perfect suitor. I have not yet discovered him however one day I'll know precisely who he is from dating the other sort of sweethearts. Each young lady experiences having an awful sweetheart and a not too bad beau yet you just date one perfect suitor.

37 Quotes on Trust That Will Make You Think

37 Quotes on Trust That Will Make You Think Trust is a highly valuable asset that can either make or break a person especially the relationships they have with their family and have built with their friends, workplace colleagues, clients, and bosses. Trust is as fragile as glass, in which it is easy to break and very hard to get back.You have to understand that there are people who will remain loyal and loving to you like your parents, siblings and certain family members in general, but you will also come across those who may say by mouth that they won’t break a promise but do so anyway.There are also times when that trust is soiled by a family member as well.Here are some of the best quotes around that will help you think about the role of trust in life as well as leadership:1.  It takes 20 years to build a reputation and five minutes to ruin it. Warren BuffettMeaning: It takes a very long time to build a foundation of trust, leadership, and commitment with someone or a group of people in which one undesirable act can chan ge everyone’s view about a person or an organization for the worse.2.  The glue that holds all relationships togetherincluding the relationship between the leader and the ledis trust, and trust is based on integrity. Brian TracyMeaning: Trust is like the glue that holds every crucial relationship in place, be it family or business. And trust in business is based on integrity, which is defined by having strong moral principles and above all, being honest.3. A single lie discovered is enough to create doubt in every truth expressed.Meaning: All it takes is one tiny lie to change your perspective on the person you thought you could trust the most in your life. It may even be possible for you to never trust that person ever again.4. We need people in our lives with whom we can be as open as possible. To have real conversations with people may seem like such a simple, obvious suggestion, but it involves courage and risk. Thomas MooreMeaning: This quote couldn’t be as simple and str aightforward as it already is. We truly need people with whom we not only can be open with but also have real meaningful conversations with. And though it may seem simple in thought, it is not so much so in practice. That’s because such things require courage and trust as the most essential pieces to make this work.5. “Self-trust is the essence of heroism” Ralph Waldo EmersonMeaning: No one else is going to help you get positive results in life but you yourself. Others may not have faith or trust in what you want to do in life, but if you have faith in yourself and stick with it, then it may likely come true.6. Trust is like blood pressure. Its silent, vital to good health, and if abused it can be deadly. Frank Sonnenberg, author of Follow Your ConscienceMeaning: Another quote about just how fragile trust can be. Here, it’s both silent and vital to one’s good health and if abused, can be very detrimental.7. “Don’t trust the person who has broken faith once.” â€" Wi lliam ShakespeareMeaning: Lying can be so disastrous that once it’s done, it can be very hard or even impossible to ever trust the person who did it to you.8. Better to trust the man who is frequently in error than the one who is never in doubt. Eric SevareidMeaning: Trust isn’t perfect. It’s bound to be riddled with mistakes and flaws. But it’s far better to trust someone who acknowledges their flaws than those who never want to.9. “Trust takes years to build, seconds to break, and forever to repair.” UnknownMeaning: Trust is both fragile and expensive in that it takes seconds to break and a long time to rebuild. That’s why you have to be careful with whom you swear your trust to and stay committed to it.10. “Trust is like a mirror, you can fix it if it’s broken, but you can still see the crack in its reflection.” â€" Lady GagaMeaning: Once a trust with someone is broken, the scars are so deep that they are forever embedded in a person’s mind after being bet rayed. Nobody can undo what they have done in the past and must move forward to ensure it doesn’t happen again.11. “How can people trust the harvest unless they see it sown?” Mary RenaultMeaning: Believing something blindly may not just fill your head with doubts but also potentially hurt you in the end. You should not exchange feelings of trust or love with anyone unless you are certain they are worthy enough for it.12. “Ultimately, there can be no complete healing until we have restored our primal trust in life.” Georg FeuersteinMeaning: When we have felt the sting of betrayal deep in our hearts, we feel as if we may never trust anyone ever again. But that is only going to further agitate our feelings of depression. So we must re-establish hope and trust in the world if we are to ever able to move on with our lives.13. “It was a mistake,” you said. But the cruel thing was, it felt like the mistake was mine, for trusting you. â€" David LevithanMeaning: This is when we have been betrayed by the person we thought we could trust more than once and it comes to a point where we assume that it is our own fault for trusting that person again in spite of knowing about their past mistakes. It’s always best to keep your guard up before you let anyone get too close to you.14. “Trust starts with truth and ends with truth.” Santosh KalwarMeaning: This one quote goes to show you how valuable and priceless trust really is. It tells us that no matter what happens, we must always be honest and open about the people we dedicate our love and trust towards.15. “Trusting is hard. Knowing who to trust, even harder.” Maria V. SnyderMeaning: Someone you don’t know will always say they mean well, but it is honoring those very words that will make the ultimate difference. The process could take months, perhaps even years. That’s how hard and strenuous it can be to legitimately earn a person’s trust. Opening your heart to someone very soon will only hu rt you in the long-run.16. “After all, what does being in love mean if you can’t trust a person.” â€" Evelyn WaughMeaning: Love isn’t something that’s only built on hugs, kisses and other intimate acts, but the trust that comes with keeping a relationship strong and alive.17. “Im not upset that you lied to me, Im upset that from now on I cant believe you.” ? Friedrich NietzscheMeaning: A relationship can be so damaged to the point that nothing anyone says can ever fix it or return it to what it once was. And the idea that we were lied to by the person who solemnly swore would never lie to us at all runs too deep that it’s virtually impossible for us to forgive them.18. “If you give your trust to a person who does not deserve it, you actually give him the power to destroy you.” Khaled SaadMeaning: It’s never a good idea to let yourself be vulnerable to someone whom you have not known previously and who could very likely use your secrets to ruin or even destroy your life. If you are certain after some time that you can let them into your personal life, and if they swear to abide by your secrets, then it could be okay for you to open up to them some more. But take it slow before you do.19. “I do not trust words. I even question actions. But I never doubt patterns.” UnknownMeaning: People may at times be so good at lying that you may never tell it’s a lie. People can also fake their actions just as seamlessly, but the one thing they can’t fake are their patterns. So before you even think about trying to trust someone, pay attention to their patterns and look for any hints that seem odd or controversial. That’s how you can tell someone is taking advantage of you.20. The people when rightly and fully trusted will return the trust. Abraham LincolnMeaning: Such words of wisdom can only be spoken by one who is referred to as ‘Honest Abe.’ If you want people to trust you, you need to be honest and transparent with them first. Don†™t expect people to openly throw themselves at you for no reason because then it’s all wrong.21. “You may be deceived if you trust too much, but you will live in torment unless you trust enough.” â€" Frank CraneMeaning: It’s a fair quote that simply means you can’t be too trusting to others unless you want to be deceived just as you should be trusting enough just so you don’t live with regrets. If you trust someone, they may surely return the favor. But keep in mind that the results aren’t always as such.22. “I’m a good enough person to forgive you, but not stupid enough to trust you again.” UnknownMeaning: This quote simply indicates that the damage has been done and it’s time for both people to move on. We may be humble enough to forgive the person who lied to us, but not enough to trust them in our lives again.23. “Love all, trust a few.” â€" William ShakespeareMeaning: Don’t necessarily buy the ‘love all’ aspect of Shakespeare’s quote, but as f ar as the latter half of it goes, definitely. Nobody should force you to trust anyone, and if they do, chances are that they’re totally lying to you just so they can exploit your weaknesses.24. “Trust, but verify.” Ronald ReaganMeaning: Short sweet and to the point. Behind that cute face is a two-faced, double-crossing, swindling scoundrel who’s ready to do serious damage to your life as soon as you drop your guard.25. “Never trust someone who lies to you. Never lie to someone who trusts you.” â€" Deanna WadsworthMeaning: Couldn’t be any truer than this. We shouldn’t trust anyone who lies to us just as we shouldn’t lie to the one who trusts us. It’s a fair deal that we must adhere to for as long as we live.26. Trust is the lubrication that makes it possible for organizations to work. Warren BennisMeaning: The only way organizations can achieve the success that they strive for is if they’re completely open and trusting of their entire team. No morally-abiding employee would ever throw themselves for a company that doesn’t have faith in their skills and capabilities.27. Trust each other again and again. When the trust level gets high enough, people transcend apparent limits, discovering new and awesome abilities of which they were previously unaware. David ArmisteadMeaning: A little too specific, but the point has been established. You can’t operate a high-profile organization when you constantly give your employees the thought that you don’t have faith in their abilities. If you put your trust in them, then they may be able to deliver appropriate results. And once your trust in them reaches higher than ever, they can even go past their limits and discover new abilities that they weren’t aware of before.28. “When you fully trust someone without any doubt, you finally get one of two results: a person for life or a lesson for life.” UnknownMeaning: There are two sides to trust. One side gives you a person who will be with you for life and the other side leaves you with a harsh lesson that you will make you stronger than before. The latter lesson is betrayal and it will allow you to be more wary of people before you let them get too close to you.29. “Tell a lie once, and all your truths become questionable.” UnknownMeaning: All it takes is one slip up to ruin everyone’s perception of the person they assumed was authentic and transparent. It’s like the whole country becoming frustrated after finding out that their president had a shady past full of underhanded tactics and wrongdoings.30. “Trust is like an eraser; it gets smaller and smaller after every mistake” UnknownMeaning: Every lie or mistake that a person makes, ruins the overall image of trust that they’ve worked so hard to build for so many years.31. “It takes two people to make a lie work: the person who tells it, and the one who believes it.” â€" Jodi PicoultMeaning: Just pure, unadulterated fact being spoken right here. You k now that you have been lied to when the person you swore your trust to never held up their end of the bargain and that you believed them all the way before you even realized the truth.32. “Love is giving someone the power to destroy you, but trusting them not to.” UnknownMeaning: Trust is like a double-edged sword in which you don’t know whether you’re with someone who is going to love you forever or turn their backs on you when you least expect it. There’s no sure of knowing who’s right and who’s a louse, so the best thing you can do is hope or pray that it all turns out alright in the end.33. “There are only two types of people that tell the truth, the drunk and the angry…” UnknownMeaning: If the tirade that Mel Gibson went on in the past is any indication, it should be noted that people only tell the truth when they’re angry or drunk and not when they’re conscious.34. “My love is unconditional. My trust and my respect are not.” UnknownMeaning: You c an love someone unconditionally, but it doesn’t necessarily apply when you want to trust or respect someone, especially someone outside your family circle.35. “Stop asking me to trust you while I’m still coughing up water from the last time you let me drown.” UnknownMeaning: Yes, soiling someone’s trust could be like letting someone drown when they needed them the most. So the last thing a liar should do is ask the person they let down to trust them right after such an incident.36. “The Less You Trust, The Less You Get Hurt.” UnknownMeaning: This is so obvious that it should pass off as common sense. The less you open up to people around you, the less likely they’re going to harm or cheat you in the end. Not everyone is going to be warm or inviting to you when you meet them.37. “When you start to wonder whether you can trust someone or not, that is when you already know you don’t.” UnknownMeaning: Trust shouldn’t be like a piece of candy you’re handing o n a silver platter. It has to be carefully reserved for when you are 90% sure you can open yourself to the person that you think you can share your secrets with. And when you start having doubts, that is when you’re certain that the person is not worthy of being trusted.

ANALYSIS OF ADULT DATA SET USING ARTIFICIAL INTELLIGENCE TECHNIQUES - 5225 Words

ANALYSIS OF ADULT DATA SET USING ARTIFICIAL INTELLIGENCE TECHNIQUES (Coursework Sample) Content: ANALYSIS OF ADULT DATA SET USING ARTIFICIAL INTELLIGENCE TECHNIQUES 1.1 PROBLEM DESCRIPTION The given task is to resolve a data set by applying different analysis models on it. In the data set I have chosen, the problem/prediction task is to determine whether income exceeds $50K per year. 1.2 DATA DESCRIPTION The data set chosen for analysis of different Artificial Intelligence algorithms is "Adult Data Setà ¢Ã¢â€š ¬Ã‚ . It is extracted from the 1994 census bureau database. The extraction was done by Barry Becker. The description of the data set is given in the file "adult.names" of the data folder. The data folder provides two sets with the same type of data "adult data" and "adult testà ¢Ã¢â€š ¬Ã‚ . The former is used for training and the latter is used for testing. The total number of records in the file "adult.data" is 32561. The records in the file "adult.test" are 16281.Following are the properties of the dataset:Data set characteristics: MultivariateAttribute Characteristics: Categorical, IntegerNumber of instances: 48842Number of Attributes: 14Missing Values: IncludedClass variable is 50K, =50K whereas the attributes of the data set are as follows:Age, workclass, fnlwgt(final weight), education, education-num, marital status, occupation, relationship, race, sex, capital-gain, capital-loss, hours per week and native country. REASONS FOR CHOOSING THIS DATA SET: * Size of the data is 40,000 * Contains missing values * 14 attributes 1.3 APPROACH 1.3.1 SOFTWARES USED:The data set was tested and analyzed on the following two data analytics software. 1, KNIME: Konstanz Information Miner is an open source data analytics, reporting and integration platform. KNIME integrates various components for machine learning and data mining through its modular pipelining concept. A graphical user interface allows assembly of nodes for data preprocessing, for modeling and data analysis and visualization. KNIME is used in areas like CRM customer data analysis, business intelligence and financial data analytics. 2, WEKA: It is a data analytics platform, a software written in Java, that contains a collection of visualization tools and algorithms for data analysis and predictive modeling, with graphical user interfaces. It supports standard data mining tasks, like data preprocessing, clustering, classification, regression etc.We used the two above mentioned softwares for data analysis by applying the four different algorithms. Other softwares that can be used for this purpose are Rapid Miner, R-Programming, Orange, NLTK etc. 1.3.2 DISCUSSION OF MODELS APPLIED: These four models are applied for the analysis of data. 1, NAÃÆ' VE BAYES: NaÃÆ' ¯ve Bayes is a simple probabilistic classifier based on applying Bayes Theorem. It is a technique for constructing classifiers, models that assign class labels to problem instances. NaÃÆ' ¯ve Bayes classifiers assume that the value of a particular feature is independent of the value of any other feature, given the class variable. 2, DECISION TREE: A decision tree is a decision support tool that uses a tree-like graph or model of decisions and their possible consequences, including chance event outcomes, resource costs and utility. It is a way to display to an algorithm. Decision trees are commonly used in operations research, specifically in decision analysis to help identify a strategy most likely to reach a goal. 3, K-MEANS ALGORITHM: K-Means is a method for cluster analysis in data mining. It aims to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. 4, ARTIFICIAL NEURAL NETWORK: In machine learning, ANN is a statistical learning model inspired by biological neural networks (the central nervous system of the brain). It is used to estimate functions that depend on a large number of inputs and are generally unknown. ANNs are presented as systems of interconnected neurons which send messages to each other. The connections have numeric weights that can be tuned based on experience, making neural nets adaptive to inputs and capable of learning. Analysis based on these four models is explained later. 1.4 DATA PREPROCESSING: The following nodes are used for data preprocessing in the four different models applied. 2981325171450 1, FILE READER: Two files are used for loading the test data file as well as training data file. 368617546101002, STRING REPLACER: In training data, end salary is 50K. But in testing data it is 50K.. To convert K. to K I used the string replacer. It is used for pattern/value replacement. 4114800-4762503, MISSING VALUE: This node handles missing values found in the cells of the input table by performing any of these operations. Do nothing, remove row, min max or mean, most frequent or fix value. In our dataset I removed all the existing rows that contained any missing values. 33807402600325 4, CATEGORY TO NUMBER: This node made new columns after converting every string to an integer. 352425055810155, COLUMN RENAME: Learner requires column have values in size double. Column rename changes the name or type of each entity. I changed the type by using column rename. Integers were converted into double. 3162300-2578106, NORMALIZER: This node normalizes all values of numeric columns using any of these three methods: Min-max normalization, Z-score normalization and normalization by decimal scaling. I have used min-max normalization to normalize our data. 311467527051007, COLUMN FILTER: It removes the columns that are not required. I excluded string columns as they were converted into double. 332422559150258, COLOR MANAGER: It helps in giving unique colors to each cluster. 2.1 EXPERIMENTAL RESULTS AND ANALYSIS 2.1.1 EXPERIMENTAL SETUP We used Knime to create and to get the results of each model. I then used Weka to find out the attributes that made little contribution towards predicting the class. * NAIVE BAYES The file reader reads the data and is followed by a missing values node. Using this node, I removed any information that had missing values from our data set. This was followed by the Normalizer node which was used to normalize all values into a range from 0-1. This whole model was then learned by the Learner node. The entire procedure was carried out on the test data as well except that a String Replacer node was used. This node was used as in the training set, Salary   had values with a à ¢Ã¢â€š ¬Ã‹Å"K' while in the test set, it had values with a à ¢Ã¢â€š ¬Ã‹Å"K.'. Therefore, to standardize this difference and to make sure there were no errors in the evaluation, this node was used. The Predictor node was then used which used the normalized data of the test set, and the learned training model as inputs. This was followed by a Scorer node which displayed the Overall Accuracy and the Confusion Matrix of the model. Fig 1.1 displays the accuracy statistics obtained by the Naive Bayes scorer. Fig 1.1 * DECISION TREE The Decision Tree model followed the same path as the NaÃÆ' ¯ve Bayes model, except that it used the Decision Tree Learner and Predictor (which performed the same task as the NaÃÆ' ¯ve Bayes Learner and Predictor). The String Replacer node was also used and   a scorer was used to display the Confusion Matrix and Overall Accuracy of the model. Another difference between the Decision Tree Model and the NaÃÆ' ¯ve Bayes model is that I did not apply a Normalizer to our main model as the actual algorithm does not require a normalizer. However, I tested the model with a normalizer as well to compare the difference in our results with and without it. Fig 1.2 shows the accuracy statistics obtained. Fig 1.2 * K-MEANS The main difference between the K-Means model and the other three models was that I did not place the Normalizer, and Learner and Predictor nodes. Instead, I placed a K-Means node which outputs the cluster centers for a predefined number of clusters. The algorithm uses Euclidean distance on the attributes selected. This was followed by a Color Manager and the Scatter Plot node which creates a scatterplot of two selectable attributes. Each datapoint is displayed as a dot at its corresponding place, dependent on its values of the selected attributes. The dots are displayed in the color defined by the Color Manager. An Interactive Table node was also placed which displays the entire data in a table format. Fig 1.3displays the scatter plot and the interactive table obtained. Fig 1.3 Fig 1.4 displays the designs of the three models discussed so far. Fig 1.4 * ARTIFICIAL NEURAL NETWORK The model starts of the same as the previous two models discussed. However, after the Missing Values Node, a Category to Number Node was placed to convert all the Categorical data into Quantitative data, since this is one of the major requirements of the ANN model. Next, the data was passed through the Column Rename node which was used to convert Integer columns to Double type as Learner requires that columns have values in size double. Data was then passed through the Normalizer Node which was followed by MLP Learner and Predictor nodes, respectively. Data was then passed through the Column Filter which removed unrequired columns, for example, columns that were converted from String to Double. Finally, the data was passed through a Scorer and a Numeric Scorer. The Numeric Scorer calculated the values displayed in Fig 1.5 between the actual and predicted v...

Questions in Reference to Teaching While Working Full-Time...

Questions in reference to teaching while working full-time in the fire service: 1) Has teaching improved your â€Å"on the job† performance in the fire service or vice versa, and if so in what ways has it done so? â€Å"Teaching has both hurt me and helped me in the fire service. I have to keep up with the latest trends in the fire service. This is an advantage to most people as the fire service because it is reared that most crews keep up with current trends. Unfortunately, officers like there (old School) training so what I know is sometimes looked down upon as (textbook) firefighting. 2) How do you balance work, teaching and home life so that they all function smoothly together? â€Å"Well, it has not always been easy, but my family has been my†¦show more content†¦Ã¢â‚¬Å"My strengths I would say are that I’m very energetic and know the material well. I can keep a class entertained enough so they can learn. My weaknesses, when I teach I tell them the brutal truth, unfortunately that is not always politically correct or what the SCFA wants me to say. So I do spend allot of time in the SCFA office explaining my actions. I stay in trouble† 3) What do you do for students that are doing their best and still are not succeeding, passing or understanding the material or class that you are teaching? â€Å"I find study groups work the best. If I can’t get the material across to them maybe a fellow student can. I try to organize them for longer classes.† 4) Have you infused any outside influences into your teaching and or curriculum? â€Å"Yes my college education and physiological case studies of fire service personnel.† 5) What classes can you teach in your program? â€Å"I can teach over 30 classes. I teach all the Firefighter curriculum al the way to IFSAC Firefighter II. I teach the driver operator curriculum completely through IFSAC Pump operator II and Arial Operations. I also teach several of the courses in the officer’s curriculum. 6) Is there a specific list of topics and texts you have to follow when planning a class, if so who mandates it and where do you go to retrieve this information? â€Å"Yes, every course I teach has an instructor’s manual. TheyShow MoreRelatedThree Day Orientation and Training Program1173 Words   |  5 Pagescontinuous process that must begin at the time of hire to ensure a since of employee value and company involvement. Orientation will reduce: job training cost, employee anxiety, employee turnover; and improve: employee attendance, performance, and over-all skills available. Well developed orientation programs will also develop a better understanding of job requirements, positive attitudes, and job satisfaction for the employee s, as well as, saving valuable time for the trainers involved. When implementedRead MoreResponsibilities And Responsibilities Of A Lifelong Learning2594 Words   |  11 Pagesprocess. 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