King Lear :: essays research papers

King Lear is one of William Shakespeare’s greatest tragedies which involves a common story of three daughters vying for the love of their father. Jane Smiley parallels the story of King Lear in her novel A Thousand Acres. Though this novel is derived from the roots of King Lear and the basic plot is similar, the reader’s reaction to each work of literature varies greatly. One may wonder why the reader’s perspective on the play King Lear changes so drastically after reading the novel A Thousand Acres. A couple of the reasons include the pieces of literature being told from two different view points and how the paralleling characters in the two works assume roles than are unexpected and seem unlike the comparable characters in the other piece of literature. However, Scott Holstad states the reason for the differing responses best by saying, â€Å"Smiley is successful because she fills in so many of the gaps left open in the play. She gives us new and different perspectives† (Holstad 1). King Lear is a most unusual play in that it only deals with the present and neglects the past and the future. The reader is not informed about an earlier time period in the play. The play opens up with Lear immediately choosing to, â€Å"express our darker purpose† (I, i, 35). There is no mention of any of the three daughters’ childhood. In contrast, Smiley makes a point of adding description to her novel. She constantly describes the three girls’ childhood, their ancestors, and other memories from the past. In the beginning of the novel, Ginny elaborates upon her great-grandparents and, â€Å"when they came the first time to Zebulon County, in the spring of 1890, and saw that half the land they had already bought was under two feet of water† (Smiley 14). Ginny also remembers when she used to take care of Caroline, â€Å"I had such hope for her, such a strong sense that when we sent her out, in whatever capacity, she would perform well, with enthusiasm and confidence that were mysteriously hers alone† (Smiley 262). The description of the past is the most powerful part in A Thousand Acres. It reveals hidden roots that shape and define behaviors of the characters. This hidden knowledge and exposure of secrets is exemplified in Edgar’s line in King Lear, â€Å"In nothing am I chang’d But in my garments† (IV, vi, 9-10). It tells the reader that although things may appear to be a certain way, reality will prove them to be different. The major difference between King Lear and A Thousand Acres is that the past comes

Discipline and Students with Disabilities Essay -- Special Education

Public Law 94-142: The Education for All Handicapped Children Act of 1975, now called Individuals with Disabilities Education Act (IDEA), requires states to provide free, appropriate public education (FAPE) for every child regardless of disability. This federal law was the first to clearly define the rights of disabled children to receive special education services if their disability affects their educational performance. A parent of a special education student also has basic rights under IDEA including the right to have their child evaluated by the school district and to be included when the school district meets about the child or makes decisions about his or her education. If a child is identified as in need of special education services, the school district must devise a written individual education program (IEP) for the child, which includes related services. An IEP is a statement of a student’s special education and related services including speech services, psycholog ical services, physical and occupational therapy, counseling and assistive technology and transportation. In addition, this legally binding, individualized plan outlines reasonable educational goals for the student and is reviewed and updated yearly. The Individualized Education Program is developed by a team that includes the parents of the student, a general education teacher, a special education teacher, a school representative (principal), a person knowledgeable about evaluation (school psychologist), and others at request of IEP participants. The primary job of the IEP team is to plan a program of special education and related services that is reasonably calculated to provide a meaningful education benefit. The IEP Process includes a review of assessme... ...behavior was not a manifestation of the student's disability and the student is suspended beyond 10 days, educational services, including access to the general curriculum, must continue. Special education services may not to be interrupted during the manifestation process or long-term suspension. Works Cited Fischer, L., Schimmel, D., & Stellman, L. (2007). Teachers and the law (7th ed.). Boston, MA: Pearson Education, Inc. National Alliance Of Mental Illness (2008, Fall). Understanding Your Legal Rights Under Special Education Laws. NAMI Beginnings, (12), 3-8. National Dissemination Center For Children With Disabilities (2010). Applying Discipline Rules to Students with Disabilities. Retrieved from http://nichcy.org/SchoolsAndAdministrators/Pages/discipline.aspx Wright, P. W.D., & Wright, P. D. (2010). Wrightslaw. Retrieved from http://wrightslaw.com

Gang violence Essay

â€Å"Once found principally in large cities, violent street gangs now affect public safety, community image, and quality of life in communities of all sizes in urban, suburban, and rural areas. No region of the United States is untouched by gangs. Gangs affect society at all levels, causing heightened fears for safety, violence, and economic costs† (In The Spotlight) As the quote above shows, gangs and everything that goes with them has spread all over the United States and is now one of the major issues the U.S. faces. There are estimated to be about twenty-nine thousand, four hundred gangs and seven hundred fifty six thousand gang members all throughout the U.S. Also, there are thousands of other gang members illegally crossing the U.S. borders, mostly from Central America. Each gang differs in some way but however, â€Å"A common definition for a gang is a group of three or more individuals who engage in criminal activity and identify themselves with a common sign or name † (Barbour 9). The main problem in the U.S. is not the actual gangs, but it is the drugs that they involve themselves with. The drugs only bring violence and problems. The main purpose of many gangs today is not to rule turf or power but to get money by smuggling drugs over the borders and then selling them. Gang activity and violence is occurring all over the U.S. every day, mainly caused by the involvement of illegal narcotics, if this country wants to stop the gangs, it needs to completely cut off the smuggling and trafficking of drugs from Central America into the U.S. by combining different government agencies of different levels to prevent the gangs from entering the U.S. and growing and also to create prevention programs and groups to control it at a more localized level where the issues are the most pressing. Gangs are smuggling over the U.S. borders and it is causing more problems than the government can handle. The main source of drugs is coming from Central America, where the most predominant number of gangs is located. Many gangs are focused only on smuggling different types of drugs into the U.S. and it is the one way to sustain a constant source of income. This is very appealing to any youth who wants money and that is why the number of gang members is growing so rapidly. â€Å"The transnational gangs are located in over 300 cities and 40 states across the country and are becoming a serious  threat to the national security of the United States† (Farah). Mara Salvatrucha (MS-13) is the most dangerous gang in the U.S. today and is not even native to the U.S. The homeland of MS-13 is in El Salvador. El Salvador is the most highly gang populated country in Central America. Some other gang-infested countries are Guatemala and Honduras. There are about ten thousand MS-13 members in the U.S. alone and about forty thousand members in Central America. Unfortunately, these numbers are still on the rise. MS-13 recruits members at a very young age, which keeps a steady growth in members. The idea of a better family and brotherhood, but also money, is very appealing to any kid who is struggling at home. MS-13 accounts for the majority of drug distribution from Central America and is the focal point that needs to be attended to if this problem is going to be solved. Another main problem with the drugs is how large of an impact they have on the people because they only add to the already existing problems for society. Also, violence and drugs go hand in hand, which is why they are so involved within the gangs. Violence is always involved with gangs, but with the addition of drugs, the violence can intensify to a level where nothing can be done. This causes the gangs to be much harder to deal with. One main problem is that the American society hates the gangs but loves the drugs and will continue to buy drugs no matter where they are coming from. This makes it even more difficult to deal with. The drugs find a way to enter the lives of people from all of American society. For instance, they have been involved in different businesses and been the cause of murders, including celebrities. â€Å"Gangs have a large involvement in the rap industry and are related to the murders of Tupac Shakkur and Biggie Smalls† (Smith, â€Å"Gangs†). Tup ac Shakkur and Biggie Smalls were two iconic rappers of their time but sadly, gangs found a way into their lives and ended up causing both of their deaths. The drugs and violence become so intertwined into society, that now they are very hard to remove and a resolution to this problem needs to be found. There are many different processes that are being implemented now to stop this problem. An example is that groups and programs are being formed to fight back against the gangs. The Arizona Corridor has proven to be one of  the busiest places for gang smuggling and trafficking. There was a group formed to prevent it called IIMPACT Arizona. â€Å"IIMPACT Arizona! is a multi-agency project that is managed by the Gang and Immigration Intelligence Team Enforcement Mission (GIITEM) and designed to address rising crime associated with illegal immigration.† (Gang and Immigration Enforcement) IIMPACT is acronym that stands for â€Å"Illegal Immigration Prevention and Apprehension Co-op Teams† (Gang and Immigration Enforcement). IIMPACT is a program where local, state and federal police forces team up to fight against smuggling organized by crime groups. The main goals of the group are to deter, disrupt and dismantle gangs from illegally immigrated people and drugs into the U.S . If they are able to succeed with what they want to do, then they would be shutting down one of the hotspots for gang smuggling. This group is in action today and could eventually make a large impact on preventing gangs from smuggling over the U.S. borders, which would greatly decrease the amount of drugs that would be entering the U.S. The U.S. government has tried to pass different acts and laws against gangs but there has been many legal issues revolving around the civil liberties of the individuals being persecuted. â€Å"Responding to the rise in gang violence in the early 1980s, Los Angeles judges began to issue gang injunctions. This occurs when the city attorney’s office issues a restraining order against specific gang members. This is done only after gathering evidence from police officials and the public. However, in 1987, the American Civil Liberties Union (ACLU) challenged the injunctions, indicating that they presented a violation of an individual’s civil rights† (Smith, Gangs: Outlook). Whenever the government gets close to cracking down on the gangs, an issue involving civil liberties arises and prevents the laws to be passed. The way some of the laws enabled police officers to treat gang members and the hostile level violated some of their rights. In 1994, the Violent Crime Contr ol and Enforcement Act of 1994 was passed and it tightened the choke hold on gangs. It stiffened the penalties for crimes committed by gangs, so that the members would be less prone to break the law. The penalties for a gang member were much more severe than one for just an average person, even if the same crime was committed by both of them. Many lawmakers and law enforcers believe the answer is to make laws to  combat the actions gangs. If the penalties are stiffened, then they will be less prone to smuggle drugs and the drugs levels will go down. If drug trafficking can not be stopped, then there is no chance of slowing down gangs and the violence they create. The solution to this problem will take time and effort but will work. More groups and programs have to be made in order to stop the drug smuggling and gang violence. Also, younger kids have to be reached out to early on so they don’t even have the option to join some sort of gang. If more localized programs can be formed, then smuggling can be cut down from area to area and over time, will disappear. Even though there was extensive research, only one program that was focusing on gang involvement in their area was found and it had been working efficiently so far (IIMPACT). This group is so successful because it requires the usage of town police, state police and federal police all working together. The information that can be shared from each level is key to success. A joint effort is always more successful than a singular effort. If different levels of government enforcement could join up and work together in states all along the border, the smuggling of drugs could be cut dow n immediately. â€Å"The combination of different agencies has brought up results that show that gang violence and just gangs in general are able to be controlled if not reduced a significant amount† (â€Å"In The Spotlight†). This combination occurring much more frequently can be the resolution to the problem that has needed to be solved for so long. The main problem can be seen lying within the gangs but the actual problem revolves around the American educational institutions and the environments that kids are provided with. The American Civil Liberties Union (ACLU) believes that laws will not help and that providing the right environment for kids is what is needed. The main problem with setting a lot of laws and enforcing them is that even if a kid is stopped from being fully involved in a street gang by sending him to prison, he will be more likely to join a gang in prison than out in the world because of how frequent prison gangs are. By trying to prevent one problem, the laws would only cause another. â€Å"If younger kids were provided with better opportunities to enact in a community and have a better environment to conduct their actions, they will  be less prone to join gangs† (Smith â€Å"Gangs: Outlooks†). Groups like the ACLU are trying to stop the problem before it arises and that really is the best po ssible thing that can be done in this situation. If the number of gang members goes down, then gangs will lose their power and influence over the surrounding communities. This would cause there to be less drug smuggling occurring and the problem would gradually decline to a non-existing issue. Gang activity and violence is occurring all over the U.S. every day, mainly caused by the involvement of illegal narcotics. If this country wants to stop the gangs, it needs to completely cut off the smuggling and trafficking of drugs from Central America into the U.S. by combining different government agencies of different levels to prevent the gangs from entering the U.S. and growing and also to create programs and groups to prevent it at a more localized level where the issues are the most urgent. The information that was presented shows how much damage that the gangs are causing to the U.S. and how drugs being smuggled over the borders from Central America are the main cause. This is very important because some of what is being done now and what can be done could be the solution to this enormous problem. Possible trends in the future will definitely be that more laws and acts will be proposed and whether or not they go into action, they will make a positive affect on trying to st op gangs in the U.S. Gangs were first formed in the U.S. in New York in the early 20th century, particularly 1928, so it could be the first time in one hundred years where gangs are not relevant in the U.S. Also, it could make a large global impact because it would encourage other nations to crack down on gangs too. If the necessary steps are taken, the problem of gangs in the U.S. could be completely ended and we could experience a gang-free and drug-free time period in the U.S. for the first time in years. Work Cited Barbour, Scott, ed. Gangs. San Diego: Greenhaven, 2002. Print. Farah, Douglas, and Pamela Phillips Lum. â€Å"Central American Gangs and Transnational Criminal Organizations.† Strategycenter. N.p., n.d. Web. 1 Apr. 2013. â€Å"Gang and Immigration Enforcement.† AZDPS. Arizona Department of Public Safety, 2013. Web. 10 Apr. 2013. â€Å"In the Spotlight: Gangs.† National Criminal Justice Reference Service. U.S. Department of Justice, 7 Sept. 2012. Web. 10 Apr. 2013. Smith, Pamela K. â€Å"Gangs.† Issues: Understanding Controversy and Society. ABC-CLIO, 2013. Web. 25 Apr. 2013. Smith, Pamela K. â€Å"Gangs: Outlook.† Issues: Understanding Controversy and Society. ABC-CLIO, 2013. Web. 25 Apr. 2013.

Impact of Affordable Care Act on Medicare

What is the Impact of ACA on Medicare? Tyeisha Molina Managed Care and Insurance Professor Conway October 21, 2012 Abstract There are many changes being made by the Affordable Care Act which will have an impact on Medicare. Affordable Care Act makes Medicare stronger as well as assists the elderly with taking responsibility of their health outcomes.The act will provide essential free assistances which include preventive services, yearly wellness appointments and a fifty percent price reduction towards prescription drugs for the individuals that are in the coverage gap called the donut hole. Medicare recipients can also work with their physicians to develop a personal prevention plan. Affordable Care Act impacts Medicare for the reasons that the elderly for no cost or little cost will receive more benefits than they have before.The intention of the act is to encourage improvement, trial analysis for forms of payment models and enhancements to the ways payments are made for basic healt h services, the promotion of patient centered support given by health institutions, reducing unnecessary inpatient stays and developing an incentive plan for practitioners, hospitals and additional health facilities so that the delivery of care is provided in an efficient manner. Affordable Care Act does not necessarily eliminate every issue associated with Medicare, but it is definitely a start.There are still changes that will have to be made in order to correct the continuing gaps amongst the amount of workforces that pay taxes into the Medicare and the amount of individuals that receive the assistance. There is also the issue of the increasing health care costs which will continue to jeopardize its purpose of being long term solution. Due to the ACA a lot more individuals will be able to afford health care benefits including safeguards which will assist them with keeping insurance at times when a critical health condition arises as well as managing ongoing health problems.The Af fordable Care Act demonstrates actual enhancements for Medicare recipients presently as well as in the upcoming years. What is the Impact of ACA on Medicare? Preventive Services Crucial preventive services can currently be obtained by individual’s that are Medicare participates without a co-pay or deductible such as colonoscopies and breast exams. Enhancing availability to preventive services has the capability of improving detection of illnesses in the early stages and treatments which can possibly reduce the amount being spent and to improve the well-being of Medicare recipients for the long-term.Medicare was beginning to pay for additional preventive care services that were in accordance with the typical United States health care insurances as a measure to decrease the necessity of costly health care treatments in the future. â€Å"The Medicare Prescription Drug, Improvement and Modernization Act of 2003 provided that in the first six months which was amended to the first year of a person’s enrollment in Medicare Part B, that person is entitled to an initial preventive physical examination† (Bergthold 2012). The intention of the examination was to encourage healthy lifestyles and identify illnesses in advance to avoid them becoming worse.The exam consists of information, therapy, support services amongst other types of screens for cancer and testing. (Adamopoulos 2012) The Affordable Care Act has now added yearly wellness visits along with the existing exam. The wellness visits consist of an all-inclusive risk evaluation as well as a personal prevention plan. The evaluations will take into account the individual’s health history as well as their family’s history, different observations which include weight, blood pressure, mental deficiencies and extensive list of screening exams that extend to five or ten years.The benefits are covered by Medicare free of charge for participates of the plan and there also is no fee attach ed to the wellness visits. These services will also be available to participants of the traditional Medicare plan due to the Affordable Care Act. Due to the yearly wellness exams being available to every Medicare participate there should be an increased improvement in their medical status and it could possible decrease the Medicare’s program costs in the future. (Adamopoulos 2012) What is the Impact of ACA on Medicare?Prescription Drug Coverage Prescription drugs are a major category of health care costs for the majority of elderly people. In 2006, Medicare Part D began which covered prescription medication attached to it was a coverage gap called donut hole, but before this there was no coverage available for medications. Once the yearly deductible is paid the primary coverage part of the Medicare Part D program begins which obligated participates to contribute to twenty-five percent of the costs of their prescription medications.When required amount prescription drug amount has been reached which includes the amount Medicare pays and the participate pays which is $2,830 the participant enters the donut hole and then they are required to pay the full amount of the medication costs. A participate continues in the donut hole until they have reached medication costs of $6,440. Once that occurs the catastrophic level of prescription drug coverage begins and participate does not spend any more than five percent of the medication costs without any limitations. (Kaplan 2011)The abnormal structure was not equivalent to any type of health care funding agreement whether unrestricted or private in America or any other country. The program was created due to a collaboration of multiple unconnected governmental obligations. The first obligation was that the Medicare prescription program was in need of a reasonably lower yearly deductible to make sure the majority of participants saw individual benefits for being enrolled in the plan. The reason for this was due to a failure of a 1988 regulation made to the Medicare drug program.As a result an enrollee would have to volunteer for any new legislated Medicare prescription program which meant that if the enrollee had to volunteer for the program it was important for the majority of the recipients to be given some form of substantial assistance for participating in the program. (Kaplan 2011) The second obligation pertained to the circulation of the yearly prescription costs that followed the simple design for health costs which was normally the main part of the program’s expenses which were caused by a small number of the programs enrollees.The costs from the small amount of enrollees have the ability to be an enormous amount. Therefore, in order for the Medicare prescription program to offer most support for the participants that required it more than the catastrophic coverage had to have a lower co-pay amount attached to it. The model’s ending fee level has a five percent co-insura nce obligation without a limit of on coverage. (Kaplan 2011) The last obligation was due to the administration directed by President Bush which concluded they were going to assign a specified amount that would go towards the new plan and nothing else.With the combining lower yearly out-of pocket costs with the addition of added benefit once the deductibles are reached, the limitless catastrophic coverage level along with a lower co-insurance fee requirement and the secure worldwide financial plan it was inevitable that changes had to be made. The change that occurred was the diminishing of the donut hole which was located between the start of the coverage and the catastrophic level. (Kaplan 2011) The last part of the Affordable Care Act relates to the prescription drugs which increases the cost for the higher earning individuals that are enrolled in the Medicare program.The Affordable Care Act has also increased the Part D payment the higher earning individuals have to pay in additi on to the method of the raised payments that are required to pay for the Medicare Part B portion of the program. The modification has usually been labeled as a decrease in the payment funding given to the high earning enrollees, but its result on those elderly individuals that are part of this requirement is the identical increased once-a-month charges that are required for registration in the section of the plan. (Kaplan 2011) What is the Impact of ACA on Medicare?Skilled Nursing Home Initiatives Another impact made by the Affordable Care Act is to increase the information that is provided to enrollees pertaining to the long-term services provided in skilled nursing homes. There are additional proposals which support ethics courses for nursing homes staff members, but the primary objective of Affordable Care Act for the skilled nursing home initiative is to add main focus of the ACA’s nursing home initiatives is to require that additional skilled nursing home data be added i nto the current Nursing Home Compare link located on the Medicare site.The information is critical for individuals that are trying to consider placement in a nursing facility. Some of the information is currently available on Medicare’s website, but at times there is insufficient standardization which allows a potential tenant without difficulty assess prospective nursing homes. There are times when an elderly person has limited reasonable options for long-term care as well as need a facility in a short timeframe. (Urban 2012)The type of intentional shopping around for agencies which the new statute requirement seems to visualize is usually common for an assisted living facility rather than a nursing home. The obligation to have illegal violations as well as public fines to be openly revealed has the chance to put additional burden on restrictions which will enhance its defending ability. There are times when the information that is provided can cause incorrect understandings . Also, a suitable level of employee development that the facility requires will depend highly on how severe the occupants’ conditions are.The individuals that are highly informed will have the ability to comprehend the excellence of services being provided by a skilled nursing home based upon the added information the skilled nursing homes have to release. (Urban 2012) In conclusion, the Affordable Care Act health care reform has the ability to improve results as well as save additional revenue. Developing an enhanced Medicare plan and a health care Building an improved Medicare program and an improved health care distribution structure needs to be a collective effort.By allowing individuals to gain additional power with controlling their medical care as well as reinforcing the Medicare plan. The act gives extended coverage for services and an enhanced combination of services for individuals that are in need of care. References Adamopoulos, Helen. (2012). The Supreme Court A ffordable Care Act Decision: Could it Mean Catastrophe for Medicare Advantage? Retrieved from http://medicarenewsgroup. com/context/understanding-medicare-blog/understanding-medicare-blog/2012/06/21/the-supreme-court-affordable-care-act-decision-could-it-mean-catastrophe-for-medicare-advantage-.Accessed on 13 October 2012. Bergthold, Linda. (2012). Seniors Are Asking†¦ What's Next for Medicare? Retrieved from http://www. huffingtonpost. com/linda-bergthold/seniors-are-asking—what_b_1666779. html. Accessed on 13 October 2012. Kaplan, Richard L. (2011). Older Americans, Medicare, and the Affordable Care Act: What’s Really In It for Elders? Retrieved from http://www. asaging. org/blog/kaplan-older-americans-medicare. Accessed on 13 October 2012. Urban, Mike. (2012) Many already feel impact of Affordable Care Act. Retrieved from http://readingeagle. com/article. aspx? id=396360. Accessed on 13, October 2012.

Acoustic Signal Based Traffic Density Engineering Essay

Traffic monitoring and parametric quantities estimation from urban to battlefield environment traffic is fast-emerging field based on acoustic signals. This paper considers the job of vehicular traffic denseness appraisal, based on the information nowadays in cumulative acoustic signal acquired from a roadside-installed individual mike. The happening and mixture weightings of traffic noise signals ( Tyre, Engine, Air Turbulence, Exhaust, and Honks etc ) are determined by the prevalent traffic denseness conditions on the route section. In this work, we extract the short-run spectral envelope characteristics of the cumulative acoustic signals utilizing MFCC ( Mel-Frequency Cepstral Coefficients ) . The ( Scaly Conjugate Gradient ) SCG algorithm, which is a supervised acquisition algorithm for network-based methods, is used to calculate the second-order information from the two first-order gradients of the parametric quantities by utilizing all the preparation datasets. Adaptive Neuro-F uzzy classifier is used to pattern the traffic denseness province as Low ( 40 Km/h and supra ) , Medium ( 20-40 Km/h ) , and Heavy ( 0-20 Km/h ) . For the development geographicss where the traffic is non-lane driven and helter-skelter, other techniques ( magnetic cringle sensors ) are unsuitable. Adaptive Neuro-Fuzzy classifier is used to sort the acoustic signal sections crossing continuance of 20-40 s, which consequences in a categorization truth of?95 % for 13-D MFCC coefficients, ~95 % for first order derived functions and ~95 % for 2nd order derived functions of cepstral coefficients. Keywords: Acoustic signal, Noise, Traffic, Density, Neuro-Fuzzy. Introduction As the figure of vehicle in urban countries is of all time increasing, it has been a major concern of metropolis governments to ease effectual control of traffic flows in urban countries [ 1 ] . Particularly in first-come-first-serve hours, even a hapless control at traffic signals may ensue in a long clip traffic jam doing a concatenation of holds in traffic flows and besides CO2 emanation [ 2 ] . Density of traffic on roads and main roads has been increasing invariably in recent old ages due to motorisation, urbanisation, and population growing. Intelligent traffic direction systems are needed to avoid traffic congestions or accidents and to guarantee safety of route users. Traffic in developed states is characterized by lane driven. Use of magnetic cringle sensors, picture cameras, and velocity guns proved to be efficient attack for traffic monitoring and parameter extraction but the installing, operational and care cost of these detectors significantly adds to the high operational disbursal of these devices during their life rhythms. Therefore research workers have been developing several Numberss of detectors, which have a figure of important advantages and disadvantages relative to each other. Nonintrusive traffic-monitoring engineerings based on ultrasound, radio detection and ranging ( Radio, Laser, and Photo ) , picture and audio signals. All above present different features in footings of hardiness to alterations in environmental conditions ; industry, installing, and fix costs ; safety ordinance conformity, and so forth [ 3 ] . Traffic surveillance systems based on picture cameras cover a wide scope of different undertakings, such as vehicle count, lane tenancy, velocity measurings and categorization, but they besides detect critical events as fire and fume, traffic jams or lost lading. The job of traffic monitoring and parametric quantity appraisal is most normally solved by deploying inductive cringles. These cringles are really intrusive to the route paving and, hence cost associated with these is really high. Most video analytics systems on main roads focus on numeration and categorization [ 4 ] , [ 5 ] , [ 6 ] , [ 7 ] , [ 8 ] . Using general intent surveillance cameras for traffic analysis is demanding occupation. The quality of surveillance informations is by and large hapless, and the scope of operational conditions ( e.g. , dark clip, inclement, and mutable conditions ) requires robust techniques. The usage of route side acoustic signal seems to be good attack for traffic monitoring and parametric q uantity appraisal intent holding really low installing, operation and care cost ; low-power demand ; operate in twenty-four hours and dark status. Conventional pattern categorization involves constellating developing samples and tie ining bunchs to given classs with restrictions of lacking of an effectual manner of specifying the boundaries among bunchs. On the contrary, fuzzed categorization assumes the boundary between two neighbouring categories as a uninterrupted, overlapping country within which an object has partial rank in each category [ 9 ] . In brief, we use fuzzed IF-THEN regulations to depict a classifier. Assume that K forms, p= 1, .. K are given from two categories, where is an n-dimensional chip vector. Typical fuzzed categorization regulations for n = 2 are like If is little and is really big so = ( ) belongs to C1 If is big and is really little so = ( ) belongs to C2 Where are the characteristics of form ( or object ) P, little and really big are lingual footings characterized by appropriate rank maps. The firing strength or the grade of rightness of this regulation with regard to a given object is the grade of belonging of this object to the category C. Most of the categorization jobs consist of medium and large-scale datasets, illustration: familial research, character or face acknowledgment. For this different methods, such as nervous webs ( NNs ) , support vector machines, and Bayes classifier, have been implemented to work out these jobs. The network-based methods can be trained with gradient based methods, and the computations of new points of the web parametric quantities by and large depend on the size of the datasets. One of the network-based classifiers is the Neuro-Fuzzy Classifier ( NFC ) , which combines the powerful description of fuzzed categorization techniques with the larning capablenesss of NNs. The Scaled Conjugate Gradient ( SCG ) algorithm is based on the second-order gradient supervised learning process [ 10 ] . The SCG executes a trust part measure alternatively of the line hunt measure to scale the measure size. The line hunt attack requires more parametric quantities to find the measure size, which consequences in increasing preparation clip for any learning method. In a trust part method, the distance for which the theoretical account map will be trusted is updated at each measure. The trust part methods are more robust than line-search methods. The disadvantage associated with line-search method is eliminated in the SCG by utilizing the trust part method [ 10 ] . We start with a word picture of the route side cumulative acoustic signal which consisting several noise signals ( tyre noise, engine noise, air turbulency noise, and honks ) , the mixture weightings in the cumulative signal varies, depending on the traffic denseness conditions [ 11 ] . For low traffic conditions, vehicles tend to travel with medium to high velocities, and therefore, their cumulative acoustic signal is dominated by tyre noise and air turbulency noise [ 11 ] , [ 12 ] . On the other manus, for a to a great extent congested traffic, the acoustic signal is dominated by engine-idling noise and the honks. Therefore, in this work, we extract the spectral characteristics of the wayside acoustic signal utilizing Mel-Frequency Cepstral Coefficients ( MFCC ) , and so Adaptive Neuro-Fuzzy Classifier is used to find the traffic denseness province ( low, Medium and Heavy ) . This consequences in 95 % truth when 20-30 s of audio signal grounds is presented. We begin with description of the assorted noise signals in the cumulative acoustic signal in Section II. Overview of past work based on acoustic signal for traffic monitoring is provided in Section III, followed by characteristic extraction utilizing Mel-Frequency Cepstral Coefficients in IV. Finally, the experimental apparatus and the categorization consequences by SCG-NFC are provided in Section V, and the decision is summarized in Section VI. VEHICULAR ACOUSTIC SIGNAL A vehicular acoustic signal is mixture of assorted noise signals such as tyre noise, engine tick overing noise, noise due to wash up, engine block noise, noise due to aerodynamic effects, noise due to mechanical effects ( e.g. , axle rotary motion, brake, and suspension ) , air-turbulence noise and the honks. The mixture weighting of spectral constituents at any location is depends upon the traffic denseness status and vehicle velocity. In former instance if we consider traffic denseness as freely fluxing so acoustic signal is chiefly due to tyre noise and air turbulency noise. For medium flow traffic acoustic signal is chiefly due to broad set thrust by noise, some honks. For heavy traffic status the acoustic signal is chiefly due to engine tick overing noise and several honks. A typical vehicle produces assorted noise depends on its speed, burden and mechanical status. In general, estimate can be done as vehicular acoustic signal is categorized as, Tyre noise Tyre noise refers to resound produced by turn overing Sur as an interaction of turn overing Sur with route surface. The tyre noise is besides considered as chief beginning of vehicle ‘s entire noise at a velocity higher than 50 kilometers per hours [ 12 ] , [ 13 ] . Tyre noise has two constituents: air noise and vibrational noise [ 13 ] , [ 14 ] . Air noise dominant in the frequence ranges between 1 KHz to 3 KHz. On the other manus vibrational noise is dominant in the frequence scope 100 Hz to 1000 Hz. Effect is generated by route and Sur, which forms a geometrical construction that amplifies the noise ( elaboration consequences in tyre noise constituent in the frequence scope 600 Hz to 2000 Hz ) , produced due to tyre-road interaction [ 14 ] , [ 15 ] , [ 16 ] . The directionality of horn depends upon tyre geometry, tyre yarn geometry, weight and torsion of Sur. The entire Sur noise power along with horn consequence lies in the frequence scope 700-1300 Hz. Fig. 1. Relationship between the noise of the Sur and the noise of the vehicle harmonizing to its velocity. The Sur noise is caused by three different factors: The Sur hitting the land ( Fig 2 ) The quiver of the air through the tread form ( Fig 3 ) The quivers go throughing through the Sur ( Fig 4 ) ( B ) ( degree Celsius ) Fig. 2. ( a ) Tyre hitting the land, ( B ) Vibration of the air through the pace form, ( degree Celsius ) Vibrations go throughing through the Sur Engine noise Engine noise is produced due to internal burning of engine. Engine noise contains a deterministic harmonic train and stochastic constituent due to aerate intake [ 11 ] . The fuel burning in engine cylinder leads to deterministic harmonic train where lowest harmonic tone refers to cylinder fire rate. On the other manus stochastic constituent is mostly due to the turbulent air flow in the air consumption, the engine chilling systems, and the alternator fans. The engine noise varies with velocity and the acceleration of vehicle [ 11 ] , [ 17 ] . A stationary vehicle produces distinguishable engine tick overing noise whereas traveling vehicle produces different engine noise in correspondence with cylinder fire rate. In the recent old ages, makers designs quieter engine to stamp down the noise degree. So engine noise might be strong on front side of auto compared to other waies. Exhaust noise The exhaust noise is produced due to full fumes system. The system goes from the engine burning compartment through exhaust tubings to the exhaust silencer nowadays at the dorsum of the vehicle bring forthing exhaust noise. The exhaust noise is straight relative to burden of the vehicle [ 18 ] . The exhaust noise is characterised by holding power spectrum around lower frequences. Exhaust noise is affected by turbo coursers and after ice chest [ 18 ] , [ 19 ] . Air Turbulence noise Air turbulency noise is produced due to the air flow generated by the boundary bed of the vehicle. It is outstanding instantly after the vehicle base on ballss by the detector ( e.g. mike ) . It produces typical drive-by-noise or whoosh sound. The Air turbulency noise depends on the aeromechanicss of the vehicle, wind velocity and its orientation [ 20 ] , [ 21 ] . ACOUSTIC SIGNALS FOR TRAFFIC MONITORING Today ‘s urban environment is supported by applications of computing machine vision techniques and pattern acknowledgment techniques including sensing of traffic misdemeanor, vehicular denseness appraisal, vehicular velocity estimate, and the designation of route users. Currently magnetic cringle sensor is most widely used detector for traffic monitoring in developing states [ 22 ] . However traffic monitoring by utilizing these detectors still have really high installing and care cost. This non merely includes the direct cost of labour intensive Earth work but besides, possibly more significantly, the indirect cost associated with the break of traffic flow. Besides these techniques require traffic to be orderly flow, traffic to be lane driven and in most instances it should be homogenous. Mentioning to the developing parts such India and Asia the traffic is non lane driven and extremely helter-skelter. Highly heterogenous traffic is present due to many two Wheelers, three Wheelers, four Wheelers, auto-rickshaws, multi-wheeled coachs and trucks, which does non follow lane. So it is the major concern of metropolis authorization to supervise such helter-skelter traffic. In such environment the cringle sensors and computer-vision-based trailing techniques are uneffective. The usage of route side acoustic signal seems to be good option for traffic monitoring intent holding really low installing, operation and care cost. Vehicular Speed Appraisal Doppler frequence displacement is used to supply a theoretical description of individual vehicle velocity. Premise made that distance to the closest point of attack is known the solution can suit any line of reaching of the vehicle with regard to the mike. [ 23 ] , [ 24 ] . Feeling techniques based on inactive sound sensing are reported in [ 25 ] , [ 26 ] . These techniques utilizes microphone array to observe the sound moving ridges generated by route side vehicles and are capable of capable of supervising traffic conditions on lane-by-lane and vehicle-by-vehicle footing in a multilane carriageway. S. Chen et Al develops multilane traffic feeling construct based inactive sound which is digitized and processed by an on-site computing machine utilizing a correlativity based algorithm. The system holding low cost, safe inactive sensing, unsusceptibility to adverse conditions conditions, and competitory fabrication cost. The system performs good for free flow traffic nevertheless for congested traffic public presentation is hard to accomplish [ 27 ] . Valcarce et Al. work the differential clip holds to gauge the velocity. Pair of omnidirectional mikes was used and technique is based on maximal likeliness rule [ 3 ] . Lo and Ferguson develop a nonlinear least squares method for vehicle velocity appraisal utilizing multiple mikes. Quasi-Newton method for computational efficiency was used. The estimated velocity is obtained utilizing generalized cross correlativity method based on time-delay-of-arrival estimations [ 28 ] . Cevher et Al. uses individual acoustic detector to gauge vehicle ‘s velocity, breadth and length by jointly gauging acoustic moving ridge forms. Wave forms are approximated utilizing three envelop form constituents. Consequences obtained from experimental apparatus shows the vehicle velocities are estimated as ( 18.68, 4.14 ) m/s by the picture camera and ( 18.60, 4.49 ) m/s by the acoustic method [ 29 ] . They besides had estimated a individual vehicle ‘s velocity, engine ‘s unit of ammunitions per minute ( RPM ) , the figure of cylinders, and its length and breadth based on its acoustical moving ridge forms [ 17 ] . Traffic Density Estimation Time appraisal for making from beginning to finish utilizing existent clip traffic denseness information is major concern of metropolis governments. J. Kato proposed method for traffic denseness appraisal based on acknowledgment of temporal fluctuations that appear on the power signals in conformity with vehicle base on ballss through mention point [ 30 ] . HMM is used for observation of local temporal fluctuations over little periods of clip, extracted by ripple transmutation. Experimental consequences show good truth for sensing of transition of vehicles Vehicular Categorization Classification larning strategies normally use one of the undermentioned attacks: Statistical classifiers based on Bayes determination theory, assume an implicit in chance distribution for unknown forms, e.g. maximal likelihood appraisal, maximal posterior chance appraisal, Gaussian mixture theoretical accounts, concealed Markov theoretical accounts or k-nearest neighbour method. Syntactic or structural classifiers based on additive or nonlinear interrelatednesss of characteristics in the characteristic vector lead to linear/non-linear classifier. Acoustic characteristic coevals are chiefly based on three spheres: clip, frequence, and both time-frequency sphere. Time sphere characteristic coevals offers really low computational demand, but characteristics are frequently hampered by environmental noise or air current effects. Frequency sphere characteristic coevals see a stationary spectrum in a given clip frame. As traveling vehicles are non-stationary signals, the influence of Doppler effects and signal energy alterations either have to be neglected or the investigated clip frame must be chosen short plenty to afford quasi stationary signal behaviour. Time-frequency sphere characteristic coevals see the non-stationary signal behaviour of go throughing vehicles and it lead to accurate steps of signal energies in clip and frequence sphere at the same time, these attacks are holding a high computational complexness. TABLE I. Vehicular acoustic characteristic extractors and classifiers Sphere Ref. Feature Extractor Classifier used Accuracy Time [ 31 ] TE, PCA Fuzzy Logic, MLNN 73-79 % 95-97.5 % [ 32 ] Correlation based algorithm Frequency [ 33 ] HLA NN Vehicle: 88 % Cylinder: 95 % [ 34 ] HLA, DWT, STFT, PCA k-NNS, MPP kNN: 85 % MPP: 88 % [ 35 ] AR mod. MLNN up to 84 % Time-Frequency [ 36 ] DWT MPP 98.25 % [ 34 ] HLA, DWT, STFT, PCA k-NNS, MPP kNN: 85 % MPP: 88 % TABLE II. Acronyms from subdivision III and IV TE Time Energy Distribution MLNN Multi Layer Neural Network. PCA Principal Components Analysis NN Artificial Neural Network HLA Harmonic Line Association k-NNS K – Nearest Neighbor Search DWT Discrete Wavelet Transform MPP Maximum Distance Approach STFT Short Time Fourier Analysis AR mod. Autoregressive Mold CWT Continuous Wavelet Transform FEATURE EXTRACTION USING MFCC An omnidirectional mike was placed on the prosaic pavement at approximately 1 to 1.5 m tallness, and it recorded the cumulative signal at 16000 Hz trying frequence. Samples were collected for clip continuances of around 30s for different traffic denseness province conditions ( low, medium and heavy ) . The assorted traffic denseness states induce different cumulative acoustic signals. To turn out the above statement, we have examined the spectrograph of the different traffic province ‘s cumulative acoustic signals. Fig. 3. Spectrogram of the low denseness traffic ( above 40 kilometers per hour ) . Fig. 4. Spectrogram of the Medium denseness traffic ( 20 to 40 kilometers per hour ) . Fig. 5. Spectrogram of the Heavy denseness traffic ( 0 to 20 kilometers per hour ) . For the low denseness traffic status in Fig. 3, we merely see the wideband drive-by noise and the air turbulency noise of the vehicles. No honks or really few honks are observed for low denseness traffic status. For the medium denseness traffic status in Fig. 4, we can see some wideband drive-by noise, some honk signals, and some concentration of the spectral energy in the low-frequency ranges ( 0, 0.1 ) of the normalized frequence or equivalently ( 0, 800 ) Hz. For the heavy denseness traffic status in Fig. 5, we notice about no wideband drive-by engine noise or air turbulency noise and are dominated by several honk signals. We note the several harmonics of the honk signals, and they are runing from ( 2, 6 ) kilohertz. The end of characteristic extraction is to give a good representation of the vocal piece of land from its response features at any peculiar clip. Mel-Frequency cepstral coefficients ( MFCC ) , which are the Discrete Cosine Transform ( DCT ) coefficients of a Mel-filter smoothed logarithmic power spectrum. First 13-20 cepstral coefficients of a signal ‘s short clip spectrum compactly capture the smooth spectral envelope information. We have decided to utilize first 13 cepstral coefficients to stand for acoustic signal for matching traffic denseness province. These coefficients have been really successfully applied as the acoustic characteristics in address acknowledgment, talker acknowledgment, and music acknowledgment and to vast assortment of job spheres. Features extraction utilizing MFCC is as follows, Pre-emphasis Pre-emphasis stage emphasizes higher frequences. The pre-emphasis is a procedure of go throughing the signal through a filter. It is designed to increase, within a set of frequences, the magnitude of some ( normally higher ) frequences with regard to the magnitude of the others ( normally lower ) frequences in order to better the overall SNR. Y [ n ] = x [ n ] -?x [ n-1 ] , ? ˆ ( 0.9, 1 ) ( 1 ) Where ten [ n ] denotes input signal, y [ n ] denotes end product signal and the coefficient ? is in between 0.9 to 1.0, ?= 0.97 normally. The end of pre-emphasis is to counterbalance the high-frequency portion that was suppressed during the sound aggregation. Framing and Windowing Typically, address is a non-stationary signal ; therefore its statistical belongingss are non changeless across clip. The acquired signal is assumed to be stationary within a short clip interval. The input acoustic signal is segmented into frames of 20~40 MS with optional convergence of 1/3~1/2 of the frame size. Typically each frame has to be multiplied with a overacting window in order to maintain the continuity of the first and the last points in the frame. Its equation is as follows, W [ n ] = ( 2 ) Where N is frame size Y [ n ] = X [ n ] * W [ n ] ( 3 ) Where Y [ n ] = Output signal Ten [ n ] = Input signal W [ n ] = Hamming Window Due to the physical restraints, the traffic denseness province could alter from one to another ( low to medium flow to heavy ) over at least 5-30 min continuance. Therefore, we decided to utilize comparatively longer primary analysis Windowss of the typical size 500 MS and displacement size of 100 MSs to obtain the spectral envelope. Fig. 6. Primary Windowss of size=500 MS and shifted by 100 MSs to obtain a sequence of MFCC characteristic vectors. DFT Normally, Fast Fourier Transform ( FFT ) is used to calculate the DFT. It converts each frame of N samples from clip sphere into frequence sphere. The calculation of the FFT-based spectrum as follow, Ten [ k ] = ( 4 ) Where N is the frame size in samples, x [ n ] is the input acoustic signal, and. X [ k ] is the corresponding FFT-based spectrum. Triangular bandpass filtering The frequences range in FFT spectrum is really broad and acoustic signal does non follow the additive graduated table. Each filter ‘s magnitude frequence response is triangular in form and equal to integrity at the Centre frequence and diminish linearly to zero at centre frequence of two next filters. We so multiply the absolute magnitude of the DFT samples by the triangular frequence responses of the 24 Mel-filters that have logarithmically increasing bandwidth and cover a frequence scope of 0-8 kilohertz in our experiments. Each filter end product is the amount of its filtered spectral constituents. Following equation is used to calculate the Mel for given frequence degree Fahrenheit in HZ: F ( Mel ) = 2595 * log 10 [ 1+f/700 ] ( 5 ) The ith Mel-filter bank energy ( is obtained as ( = ( * , thousand ˆ ( 0, N/2 ) ( 6 ) Where ( is the triangular frequence response of the ith Mel-filter. These 24 Mel-filter bank energies are so transformed into 13 MFCC utilizing DCT. DCT This is the procedure to change over the log Mel spectrum into clip sphere utilizing DCT. The consequence of the transition is called Mel Frequency Cepstral Coefficient. The set of coefficient is called acoustic vectors. = cos ( ?j ) , j ˆ ( 0, 12 ) ( 7 ) Data energy and Spectrum The acoustic signal and the frames alterations, such as the incline of a formant at its passages. Therefore, there is demand to add characteristics related to the alteration in cepstral characteristics over clip. 13 characteristic ( 12 cepstral characteristics plus energy ) . Energy=? X2 [ T ] ( 8 ) Where X [ t ] = signal Fig. 7. Input Acoustic signal, matching log filterbank energies and Mel frequence cepstrum for low traffic denseness province Fig. 8. Input Acoustic signal, matching log filterbank energies and Mel frequence cepstrum for Medium traffic denseness province Fig. 9. Input Acoustic signal, matching log filterbank energies and Mel frequence cepstrum for Heavy traffic denseness province ADAPTIVE NEURO FUZZY CLASSIFIER An adaptative web is a multi-layer feed-forward web where each node performs a peculiar map based on incoming signals and a set of parametric quantities refering to node. Fuzzy categorization systems, which are founded on the footing on fuzzy regulations, have been successfully applied to assorted categorization undertakings [ 37 ] . The fuzzed systems can be constituted with nervous webs, and attendant systems are called as Neuro-fuzzy systems [ 37 ] . The Neuro-fuzzy classifiers define the category distributions and demo the input-output dealingss, whereas the fuzzed systems describe the systems utilizing natural linguistic communication. Nervous webs are employed for developing the system parametric quantities in neuro-fuzzy applications. An ANFC consist of input, rank map, fuzzification, defuzzification, standardization and end product beds [ 37, 38, 39 ] . Fig. 10. An Adaptive Neuro-Fuzzy Classifier Figure 10 demonstrates generalized classifier architecture with two input variables x1and x2. The preparation informations are categorized by three categories C1 and C2. Each input is represented by two lingual footings, therefore we have four regulations. Membership bed: The end product of the node is the grade to which the given input satisfies the lingual label associated to this node. Normally, bell-shaped rank maps are chosen to stand for the lingual footings. ( U ) = exp [ – ( ) 2 ] ( 9 ) Where [ ai1, ai2, bi1, bi2 ] is the parametric quantity set. The bell-shaped maps vary harmonizing to alterations in the values of these parametric quantities, therefore exhibiting assorted signifiers of rank maps on lingual labels Ai and Bi. In fact, any uninterrupted, such as trapezoidal and triangular-shaped rank maps are besides campaigners for node maps in this bed. The initial values of the parametric quantities are set in such a manner that the rank maps along each axis satisfy ˆ-completeness, normalcy and convexness. The parametric quantities are so tuned or trained with a descent-type method. Fuzzification bed: Each node generates a signal corresponding to the conjunctive combination of single grades of lucifer. All nodes in this bed are labelled by T, because we can take any t-norm for patterning the logical and operator. The nodes of this bed are called regulation nodes. In order to cipher the grade of belongingness to certain category label the additive combination of the firing strengths of the regulations at Layer 3 and use a sigmoid map at Layer 4. If we are given the preparation set { ( ) , k = 1, .. .. , K } where refers to the k-th input form and = Experimental Consequences We have collected the route side cumulative acoustic signal samples from chhatrapati square to T-point of Nagpur metropolis. Datas were collected with 16 KHz trying frequence. These informations covered three wide traffic denseness categories ( low, medium and heavy ) . Feature extraction is done utilizing MFCC where primary window size is 500 MS and displacement size is of 100 MS. Case 1: First 13 cepstral coefficients were considered. TABLE III. Classification truths of assorted traffic denseness categories based on individual frame. Traffic Density Class Accuracy ( % ) Low 74 Medium 64 Heavy 72 Case 2: The full characteristic vectors consisted of the first 13 MFCC coefficients and their first and 2nd order clip derived functions computed. This led to a 39-D characteristic vector per frame. TABLE IV. Classification truths of assorted traffic denseness categories based on first and 2nd order derived functions of first frame. Traffic Density Class First order derived function Second order derived function Low 75 74 Medium 66 64 Heavy 78 72 Case 3: MFCC coefficients correspond to full frames are considered ( i.e. T= sample signal length in clip, ex. T=30s ) . Decision This paper describes a simple technique which uses MFCC characteristics of route side cumulative acoustic signal to sort traffic denseness province as Low, Medium and Heavy utilizing Adaptive Neuro-Fuzzy Classifier. As this technique uses simple mike ( cost: 500 Rs ) so its installing, operational and care cost is really low. This technique work good under non lane driven and helter-skelter traffic status, and is independent of illuming status. Classification truth achieved utilizing Adaptive Neuro-Fuzzy classifier is of ~95 % for 13-D MFCC coefficients, ~95 % for first order derived functions and ~95 % for 2nd order derived functions of cepstral coefficients. The research on vehicular acoustic signal which is mixture of engine noise, tyre noise, noise due to mechanical effects etc. expands from vehicular velocity appraisal to denseness appraisal. The usage of route side acoustic signal seems to be an alternate, research shows acceptable truth for acoustic signal. Vehicular categorization with Acoustic signals proved to be first-class attack peculiarly for battleground vehicles, and besides for metropolis vehicles. Clearer definitions of scenarios and applications are required to bring forth a more consistent organic structure of work. New application countries are likely to emerge for traffic signal timings optimisation utilizing cumulative acoustic signals and besides categorization of bikes proved to be emerging country for research. Finally the categorization systems can be extended in a manner that extracted characteristics are utilised as characteristic fingerprints, which affords trailing of vehicles over multiple detector nodes.

What Creativity Means to Me

Plan essay #2 Robby Allen What Creativity means to me. When the word creativity pops in my head I immediately start to think of the word style. If you think of the word style, to me it is a way of creating a certain type of creative form that I would call my own. There are lots of activity’s and hobbies that I enjoy to do. One of the best examples I can give to the meaning of style is wakeboarding, which is a form of waterskiing. Style in wakeboarding is everything. It can be anything from the way you were your swim shorts, to the way you hold the handle at the end of the rope.When I see other people wakeboard on the water it makes me think of my style and how I can incorporate that persons style and form it with my own to make a more creative style than which I had before. This will help me towards future goals in learning new tricks and giving them my own little â€Å"pizzazz†. Although we need to remember that we use the word â€Å"creativity† all the time, it is not something you can sell in a can. Being creative is something that you do when you engage in the act of making something happen.A lot of people mistakenly think that when they explore their creativity, they will have to come up with something no-one in history has ever thought of. That's not creativity! Creativity is when a little kid tries to get at a toy on a high shelf with a stick. This happens to virtually everybody not just kids. But each time, it is someone using their Creativity to get something they wanted or to reach a goal. I know that I can achieve all my goals in wakeboarding as long as I continue to keep testing my physical abilities and pushing myself to the next level.When asked what does creativity mean to me? I now know to respond with giving an example of what I like to do and how I can get continually creative using my example. Managing your creativity is the challenge, but it is possible and actually a lot easier than you think it is. I choose where I tak e my creativeness. I am in charge of figuring out how I can become creative on a constant basis and how I can maintain it, and you can too. Creativity to me is the style in which a person chooses to portray them self when they do whatever it is that they like to do.

Anions and Cations in Biological Systems Essay Example | Topics and Well Written Essays - 5000 words

Anions and Cations in Biological Systems - Essay Example However, the boundary of 2s has a spherical surface around the nucleus and another spherical shell around the nucleus. Thus there is a node between the two spherical surfaces describing 2s surface while just one spherical surface describes 1s orbital. Q3. The probability distribution function is obtained by multiplying the square of the wave function with 4ï  °r2. Even though the radial part of the wave function is maximum at r = 0; the value of the probability distribution function will be zero only as r = 0. Thus the maximum probability of finding an electron can be at some other value of r; even though the wave function has its maximum value at r = 0. Thus it can be seen that there is no contradiction in probability of finding an electron being maximum at r = 0.529 A and value of the corresponding wave function being maximum at r = 0. Hence the two statements are compatible. Q4. This is because alkali metals are multi electron system unlike hydrogen, which is one electron system. Therefore, in case of hydrogen only electron – nucleus interaction is there and the atomic spectrum of hydrogen is due to electronic transition of just one electron across different excitation states. In case of alkali metals, there being many electrons, there exists interaction among electrons as well besides the electron – nucleus interaction. Further there are many more excitation states and electronic transitions in case of alkali metals (because of many electrons being there) than in case of hydrogen atom. Therefore, the atomic spectrum of an alkali metal is much more complex than that of hydrogen. Q7. First ionization energy of an atom is the value of energy required to pull out the outermost electron from the atom. Its value increases as one traverse from left to right in a period of the periodic table. This is because as one moves from left to right in a period the number of protons I the