How to Write a Nursing Essay Introduction on How My Values Align With the H

How to Write a Nursing Essay Introduction on How My Values Align With the HAn example of how to write a nursing essay can be found in one of the excellent curriculum books from the Textbook Doctor. One of the most important questions in writing a nursing essay is how your values and beliefs align with the ideals that nursing has developed over the years. By writing an essay on this subject, you will be able to represent the new generation nursing, as well as how you can blend the past with the future for the benefit of the health care system.In the letter class, you will find that the class exercises are based on the topic 'My values and beliefs align with the ideals of nursing.' The nurse or doctor is asked to write a 90 second essay about a particular cause. You will find a sample to study on the syllabus page under the heading of 'How to Write a Nursing Essay Introduction on How My Values Align With the H.'One of the most important aspects of writing a nursing essay is to think of two things. The first thing you must have is an objective. Your objective should be clearly stated in the beginning of the essay, and you will need to be able to explain why this article relates to the topic at hand.The second thing you must include is an explanation of your medical history. The key to writing a nursing essay on this topic is to analyze your medical history. This allows you to demonstrate a personal perspective that you have written about in the past. By writing the essay using your medical history, you are drawing from your own experiences and knowledge about your particular career path.How to write a nursing essay on this topic begins with you asking yourself if your values match the ideals that nursing has developed over the years. After you determine this, you are then prepared to write the first paragraph. You will want to summarize what your values are, and tell about the importance of the nursing field.After this, you may continue by discussing the second pa ragraph of the essay. When writing about your healthcare experiences, you may add in a personal point about how you had difficulty transitioning into the profession. By using your experiences in the essay, you will be able to highlight the valuable role that nursing has played in your life.The nursing curriculum is very specific in the way that it teaches you how to write a nursing essay. As a result, you can be sure that you will not fall behind on your education because you did not realize how the class exercises included in the Textbook Doctor curriculum relate to the topic at hand.

Learn About Prepositions That Take the Genitive Case in German

I Am On Top Of The World - 1509 Words

I m on top of the world. At least, it feels like I am. On my giant of a dad s shoulders, I can see for what seems like miles down the high street in York. My little face is taken up by a smile: I am like other little girls, out for a day with both parents. Days in the park, birthdays and Christmases together...a life with both parents unfurls before me in dazzling golds and pinks. But this fades out within a month. Promises to stay in contact are forgotten. This is the start of a yo-yo relationship with my dad. Over the next two years, the memory of my dad moves further and further back in my brain and gets covered with a film of dust. There are much more important things on my little mind, such as school and friends. But one day, the†¦show more content†¦Dad buys me a little teddy bear with a heart necklace. It’s a beautiful silver thing that sits perfectly around my neck. â€Å"It’s a heart because I love you, kiddo,† Dad tells me. I can’t help but grin, playing with it. I’m immediately in love with it and it’s with a lot of persuasion that Mum finally gets me to take it off days after we’re home. It’s not long before I lose it. As I grow, there are a couple more times I’m meant to see dad, but don’t. Something gets in the way. He can’t get the time off work, or something else more important has come up, or he’s got to do something with his other kids that are considerably older than me and have never missed him the way I have – I’m not bitter, promise. I just grin and bear it. Another trip is arranged when I’m eleven. I try and stop my hopes from getting up, but I can’t stop them completely. As the date edges nearer and nearer, I barely breathe, waiting on a text: â€Å"Sorry, hon, can’t make it this time.† But it never comes. The fateful day comes round and there’s been no text. When I wake, I’m almost beside myself with excitement. I strain my ears and I can hear him and my mum chatting downstairs. I feel as if I’m made of buzzing exclamation marks. I throw on my dressing gown and hurtle downstairs. We have a fun morning full of lots of exotic breakfast foods before heading up to Edinburgh. The sun is shining, and I feel the same. The day is already great when we go to the music shop and I’m allowed to play on the piano.

Hadoop and Cloud Computing in Genomics †Free Samples to Students

Question: Discuss about the Hadoop and Cloud Computing in Genomics. Answer: Introduction This assignment is the analysis on the big data applications threats and the mentioned ways which is taken by the company to minimize the threats of the big data. The given assignment discusses about an organization known as the European Union Agency for Network and Information Security (ENISA) which has been the network center and working in the Information technology field to study the threat which can compromise the security of any nation (Kimwele, 2014).. The ENISA also assists the European nation bodys members regarding the improving network and its securities of the Information technology field. The big data concept which is the collection of the wide data which is both complex and not understandable the main purpose of big data is to draw some meaningful pattern or the algorithm from these data which will help them to study and analyze how a customer is performing various activities like shopping and accounting transaction. The source of the big data can come from anywhere be it a bank or hospitals(Kitchin, 2014). The data entered in these organizations is the big data which is utilized by the company. Various companies have reported that the application of the big data has helped them in understanding their customers and take proper decision according to the situation. Thus the big data application is not going to rise in the coming days and used in all the sectors of the company for doing business. The big data has application in the government sector which includes the military and the intelligence system. Despite of all the advantage of the big data the article enlists varies limitation and drawbacks of using big data. Though the big data has huge application it also has privacy and security threat to the country and the company. There are various threats related to the big data some of them are: The usage of the big data has not only put the ordinary and common data at risk but also the private and the confidential data at the risk(Walker 2014). The high replication and the outsourcing of the big data are the new type of the ways which has resulted in breaching and the leakage of the data. The big data usage has posed the threat to the privacy of the people which has compromised the security of the data. At the time of creation of the link in the case of the big data the collection of the big data is the major cause of the penalization the extra creation of the link is the major cause of the leakage of the information and data. The stake holders in the big data such as the data owners or the data transformers or the data providers differ in their view about the usage and security of the data their idea may conflict which make it a difficult environment for them to operate and devise a proper security plan for the data which compromise the security of the data. Lastly in various sectors of the information and communication technology (ICT). Different professionals are trying to apply their own privacy and security laws which are best according to them but on the overall security of the data it significantly decreases(Halenar, 2012). The big data rising pattern is embracing the Security-by-default principle though it is still in the early stage it has proved to be quite beneficial and highly practical in compare to the cost and effort in the invested in the ad hoc solution at the later time. The given assignment later focuses that there has been the huge gap between the issues of the big data and the counter measures designed to tackle the problems of the big data(Kayworth Whitten, 2012). Analyzing the gap the assignment has enlisted some of its own counter measure which can solve the limitation of the big data. The assignment further raises a valid question regarding current trend of the countermeasures for adapting the existing solutions which can be used against the current trends of the countermeasures for adapting the solution which is against the traditional data threats. The current environment of the big data is currently focused on the amount of the big data. The countermeasures which is currently existing is has been devised to counter the scalabilities of the big data which does not fit the big data problems which results in the partial and ineffective approach to the protection of the big data(Chen Zhang, 2014). The given assignment enlists some of its own guidelines and the countermeasures for the next generation of the data. These are: Firstly it tells to stop following the existing approach to the traditional data and work in defining the major data problems. Secondly it tells to identify the gaps and find the required needs for the current practices and to work in planning the specific definition and the specific standardization activities. Thirdly it tells to invest in training and teaching the IT professionals about the big data and aware them about the correct measures of usage of the big data(ODriscoll, Daugelaite Sleator, 2013). Fourthly it tells to work in defining the correct tools and to measure the security and privacy for the for the protection of Big Data and it environments. Fifthly it tells to analyze and find the assets to the big data and accordingly select the solutions which have minimal risk and threats.The assignment enlists some of the major threats which have been listed below: Threat due to Information leakage/sharing due to human error Threat due to Leaks of data via Web applications (unsecure APIs) Threat due to inadequate design and planning or incorrect adaptation. Threat due to inception of the information. Threat: Violation of laws or regulations / Breach of legislation / Abuse of personal data Threat: Failures of business process Above all the enlisted major threats the threat due to Leaks of data via Web applications (unsecure APIs) can be listed as the significant threat above all major threat(Labrinidis Jagadish, 2012). All other threat is due to the negligence of the human activity or failure in protecting the data. These major threats can be controlled by employing the correct person but the second major threat is due to the but the breaching of the data due to Web applications (unsecure APIs) is the breach which can take place due to the software which do not have enough capability to protect the data. According to the assignment various user of the big data has claimed that the security is the least concern for them while using the big data. The new software component designed for the big data is generally with the service-level authorization, but there are few utilities which is available to protect the core features and application interfaces (APIs). The big data are designed on the web service mode ls. The application interfaces (APIs) has become main target for all the cyber attack like in the case of like the Open Web Application Security Project (OWASP) which comes in the list of top ten and there are few solutions which can be used to stop them. The security software vendor Computer Associate (CA) and various other related sources find out via report that the data breaches are due to not a secure application interfaces (APIs) the social networks which includes the yahoo ,face book and snap chat and also in various photo and video sharing apps(Crossler et al 2012). The given assignment also gives the example of the Semantic Web technologies through its injection of its SPARQL code. It says that the flaw in the big data security is common and in the newly available languages like RDQL and the SPARQL where both are read-only query languages. There utilization has introduces a new vulnerabilities in the big data which was already present in the flaw of old-style query language s. The misuse of the languages is well aware and is dangerous for the usage. The collection of these new languages has already given the tool to check the user and minimize the risk. There are other big data software products for an example Monod, Hive and Couched who also suffers from the traditional threats which includes the execution of the code and the remote SQL injection(Provost Fawcett, 2013). The assets targeted by these threats belong to group Data and asset type Storage Infrastructure models (such as Database management systems (DBS) and Semantic Web tools). The threat agent is a person or organization who has the capability and clear intention to plant threats related to certain application like the big data and use them to spread cyber terrorism. Therefore it is crucial for the user to be well aware about the threats and to stay away from them as far as possible. Some of the threat agents are: Corporations: the cooperation category comes under the company which is involved in the offensive tactics. The cooperation is considered to be the threat agents as this cooperation spreads the cyber terrorism to gain the competitive advantage in the market by attacking its rival companies(Singh Khaira, 2013).Depending upon the cooperations market power and its sector the corporations generally acquires significant capabilities which can range from the singe technology up to human engineering intelligence, especially in their area of expertise. Cyber criminals: the cyber criminals are the threat agent who spreads the virus online and hack and breach the organization data for the financial reason. They hack into the companies data and steal the private and the confidential data to demand the ransomed from the company to give back the data like the winery ransomwae attack in the year 2017. Cyber terrorist: The difference between the cyber criminals and the terrorist that their demand above the financial reason. They want to destabilize the countrys political, social and religious base and spread terror in the country. They operate at the international level and spread the hatred message online to provoke the people. Online social hackers (activists): The social hackers are the threat agents mainly target the children and girls and torture them mentally promoting the cyber bully machines (Al-Aqrabi et al 2012). Script kiddies: they are basically unskilled or incapable hackers who use the programme and scripts of the hackers to hack the computer system. Employees: This category of the threat agent includes the employees who works for the particular organization and have access to the data of the company. They can be the security guards or the data operation manager. Nation states: Nation state is the rising threat which has become prominent in the recent times. Threat agent due to the deployment of sophisticated attacks that are considered as cyber weapons through the capability of these malware The above described threat agents are responsible for all the cybercrimes in the nation. In order to be protected from these threat agents. People should disclose their private information like photo or any private information. The hackers utilize this information to target these people and mentally torture them for the money. Secondly the company needs to keep tab on their employees of their activities against and stealing of the data. The ETL is full form is extraction, transformation, and loading. It is defined as the stages from the data is extracted from the desired location to the data is transformed into the desired target and finally to the loading where the data is loaded to deliver to the desired destination(Ackermann, 2012). According to the target requirement and last phase is the loading phase it is the phase in which the data is loaded into its warehouse and ready for the delivery. For the better performance of the ETL various steps are enlisted: Loading the data incrementally: for the better and efficient access of the data. The data should be arranged into certain pattern which can be increasing or decreasing according to the user demands this will help in better management of the data and it will to find the record afterward as the user will remember the pattern. The partition of the large tables: For better and efficient access to the data the large data table are divide into the smaller table so that data of the table can be easily seen ad be accessed. It will also it will help in quicker and efficient access of the data. It will allow easier switching of the data and quick insertion, deletion and updating of the table. Cutting out the extra data: another way the data can be simplified by cutting and eliminating the unwanted data. The data table should be regularly analyzed and the extra data should be eliminated for efficient access to the data. Usage of the software: there is software available in the market which can be used to simplify the work of reducing the data. The software can be the hardtop. It uses the HDFS application which segments data into the small part and make them into simple cluster. The data which is duplicated through which the system maintains the integrity automatically. The given assignment discusses about an organization known as the European Union Agency for Network and Information Security (ENISA) which has been the network center and working in the Information technology field to study the threat which can compromise the security of any nation (Ackermann et al 2012). It enlists the securities which include the usage of the big data which are not only the original data but the confidential data which are at risk as with the high replication of the big data for the purpose of storage and the outsourcing of the big data these type of the technology are new ways of the breaching and the leakage of the data. Secondly the big data are posing threat to the privacy of the individual which has the impact on the data protection. The given assignment later focuses that there has been the huge gap between the issues of the big data and the counter measures designed to tackle the problems of the big data. Analyzing the gap the assignment has enlisted some of its own counter measure which can solve the limitation of the big data. The assignment further raises a valid question regarding current trend of the countermeasures for adapting the existing solutions which can be used against the current trends. The assignment also enlists 5 major threats related to the data mining. The assignment also enlists threat agent such as cooperation, people, cybercrime which spreads the online hacking. Thus it can be conclude that the organization is not happy with the current security of the big data and it also recommended various countermeasures from its own side what can be done to prevent the misuses of the big data. References Ackermann, T. (2012).IT security risk management: perceived IT security risks in the context of Cloud Computing. Springer Science Business Media. Ackermann, T., Widjaja, T., Benlian, A., Buxmann, P. (2012). Perceived IT security risks of cloud computing: Conceptualization and scale development. Al-Aqrabi, H., Liu, L., Xu, J., Hill, R., Antonopoulos, N., Zhan, Y. (2012, April). Investigation of IT security and compliance challenges in Security-as-a-Service for Cloud Computing. InObject/Component/Service-Oriented Real-Time Distributed Computing Workshops (ISORCW), 2012 15th IEEE International Symposium on(pp. 124-129). IEEE. Amanpartap Singh, P. A. L. L., Khaira, J. S. (2013). A comparative review of extraction, transformation and loading tools.Database Systems Journal BOARD, 42. Boyd, D., Crawford, K. (2012). Critical questions for big data: Provocations for a cultural, technological, and scholarly phenomenon.Information, communication society,15(5), 662-679. Chen, C. P., Zhang, C. Y. (2014). Data-intensive applications, challenges, techniques and technologies: A survey on Big Data.Information Sciences,275, 314-347. Crossler, R. E., Johnston, A. C., Lowry, P. B., Hu, Q., Warkentin, M., Baskerville, R. (2013). Future directions for behavioral information security research.computers security,32, 90-101. Halenar, R. (2012). Real Time ETL Improvement.International Journal of Computer Theory and Engineering,4(3), 405 John Walker, S. (2014). Big data: A revolution that will transform how we live, work, and think. Kayworth, T., Whitten, D. (2012). Effective information security requires a balance of social and technology factors. Kimwele, M. W. (2014). Information technology (IT) security in small and medium enterprises (SMEs). InInformation Systems for Small and Medium-sized Enterprises(pp. 47-64). Springer Berlin Heidelberg. Kitchin, R. (2014).The data revolution: Big data, open data, data infrastructures and their consequences. Sage. Labrinidis, A., Jagadish, H. V. (2012). Challenges and opportunities with big data.Proceedings of the VLDB Endowment,5(12), 2032-2033. Loske, A., Widjaja, T., Buxmann, P. (2013). Cloud Computing Providers Unrealistic Optimism regarding IT Security Risks: A Threat to Users?. McAfee, A., Brynjolfsson, E., Davenport, T. H. (2012). Big data: the management revolution.Harvard business review,90(10), 60-68. ODriscoll, A., Daugelaite, J., Sleator, R. D. (2013). Big data, Hadoop and cloud computing in genomics.Journal of biomedical informatics,46(5), 774-781. Provost, F., Fawcett, T. (2013). Data science and its relationship to big data and data-driven decision making.Big Data,1(1), 51-59. Rakes, T. R., Deane, J. K., Rees, L. P. (2012). IT security planning under uncertainty for high-impact events.Omega,40(1), 79-88. Tankard, C. (2012). Big data security.Network security,2012(7), 5-8. Understanding big data: Analytics for enterprise class hadoop and streaming data. McGraw-Hill Osborne Media.

Exclusionary Rule Evaluation Essay Example

Exclusionary Rule Evaluation Essay Exclusionary Rule Evaluation According to Dictionary. com (2013), the definition of the exclusionary rule is a rule that forbids the introduction of illegally obtained evidence in a criminal trial. This evaluation will cover information regarding the rationale and purpose, the costs, benefits and alternative remedies of the exclusionary rule. Rationale and Purpose of Exclusionary Rule The exclusionary rule, a court-made rule is designed to exclude evidence obtained in violation of a criminal defendant’s 4th amendment rights (Farlex, Inc. , 2013). Before this rule was formed, any evidence brought to court for trial was admissible whether it was illegally confiscated or not; it was not an issue as to how evidence was obtained (Farlex, Inc. , 2013). The purpose of the exclusionary rule is to deter future unlawful police conduct and thereby effectuate the guarantee of the 4th amendment against unreasonable searches and seizures† (Phillips, 2008). Exception to the Exclusionary Rule According the CJi interactive activity video (2012), the most classic exception to the exclusionary rule is the â€Å"good faith exception†. This means that â€Å"if a police officer believes he or she has complied in good faith with a person’s constitutional rights, the evidence can be admissible in a trial† (University of Phoenix, 2012). If the police later discover that the judge issued a search warrant that had a clerical error or some other type of error, the evidence taken from the search and seizure still remains admissible because the officer acted in good faith when the search was conducted. The woman in the video also explains that a warrant is not invalid simply based on human error (University of Phoenix, 2012). We will write a custom essay sample on Exclusionary Rule Evaluation specifically for you for only $16.38 $13.9/page Order now We will write a custom essay sample on Exclusionary Rule Evaluation specifically for you FOR ONLY $16.38 $13.9/page Hire Writer We will write a custom essay sample on Exclusionary Rule Evaluation specifically for you FOR ONLY $16.38 $13.9/page Hire Writer In the case of United States vs. Leon (1984), the good faith belief played a role in this matter. Once a judge discovered that the affidavit for the search warrant was insufficient, the Supreme Court Justices concluded â€Å"that evidence seized on the basis of a mistakenly issued search warrant could be introduced at trial† (Oyez Project, 2013). Costs and Benefits of the Exclusionary Rule The cost of the exclusionary rule is that when police officers violate a citizen’s 4th Amendment rights they subvert the criminal justice system and allow a potentially guilty suspect to walk away Scott free. Although they violated their rights it does not change the fact that the officers found incriminating evidence. Because of the exclusionary rule and a technicality, the suspect will not have to answer to the charges brought against them. This is a negative cost of the exclusionary rule because the negative side has great consequences by having to willfully allow criminal activity to have no punishment. On the other hand, the benefits of the exclusionary rule pertain more to innocent citizens. Having privacy in ones home is the highest level of privacy one can hold and if officers are allowed to use trickery and not required to follow the processes such as obtaining a search warrant; all citizens guilty and innocent alike will have no privacy rights and will be subject to fishing expeditions on the part of law enforcement. So in balancing the cost and benefits, if some guilty suspects are allowed to go free to prevent the invasion of privacy of innocent citizens which likely outnumber the guilty ones, it is a benefit to have the exclusionary rule in place (Zalman, 2011). Alternative Remedies and My Position In applying the case of Mapp v. Ohio (1961), although the officers clearly violated her rights and entered her home without a required search warrant, they prevented current and future criminal activity. However, the violation must be weighed against the possible privacy rights lost by all citizens in order to prevent criminal activity. Because the exclusionary rule acts as a deterrent to police officers, although the constitution is attempting to prevent unlawful police activity guilty suspects benefit from this rule. Thus, an alternative to the exclusionary rule could be simply disciplinary action to the violating police officer. That way the evidence is still admitted but the officer could stand to lose his/her job. Hopefully this will still protect the rights of the innocent and the very important privacy rights because law enforcement will not want to lose their job because they have taken on the attitude that the ends meet the means, meaning that even if they violate a law, they have prevented criminal activity. Conclusion The exclusionary rule was created to protect the rights of citizens. Grounded in the 4th amendments, the exclusionary rules is written so that law enforcement officers/government officials are not allowed to illegally conduct search and seizures without a court- issued search warrant. By applying the exclusionary rules the court system is also protected from any accusations of misconduct; if evidence is brought before the court without a search warrant, good faith must be shown before any evidence is admissible in court. ? References Phillips, R. (2008). Law Enforcement Legal Update. Retrieved from http://www. legalupdateonline. com The Free Dictionary by Farlex. (2013). Exclusionary Rule Definition. Retrieved from http://www. legal. -dictionary. thefree dictionary. com United States vs. Leon. (2013). The Oyez Project at IIT. Retrieved from http://www. oyez. org/cases/1980-1989/2013/1983/82/771 University of Phoenix. (2012). Criminal Justice Video Library. Retrieved from http://www. ecampus. phoenix. edu Zalman, M. (2011). Criminal procedure: Constitution and society (6th ed. ). Upper Saddle River, NJ: Pearson/Prentice Hall.

AP Biology Lab Report for Population Genetics Essay Example

AP Biology Lab Report for Population Genetics Essay Example AP Biology Lab Report for Population Genetics Paper AP Biology Lab Report for Population Genetics Paper The data was found using a program called Popsicle (Heron 2002), which picked genotypes Mandalay, and showed the results after particular conditions were entered. Students took these numbers and visually displayed them in charts. They configured the predicted amount of adults for each genotype by using the Hardy- Weinberg mathematical equation pa + PC + q to figure out the expected adults for the genotypes AAA, AAA, and AAA. The students also produced graphs showing allelic frequencies and genotype frequencies. They concluded that their original hypotheses were indeed correct. Therefore, there was support that the Hardy- Weinberg Theory and the 5 cases for evolution were indeed accurate in their own particular cases (1 70 words). Introduction In this report, students conduct a laboratory procedure that exemplifies certain occurrences of genetics among populations. In other words, the students predict and observe the results in a population from generation-to-generation due to certain specific conditions, also known as a study called microinstruction (Pearson Education, Inc. 2002). In some cases, evidence supports evolution. Evolution is defined as the changes that have transformed life on Earth from its earliest beginnings to the diversity that characterizes it today (Pearson Education, Inc. 2002). There are five known cases for evolution, known as selection, migration, on-random mating, genetic drift, and mutations. Selection is best described by the alteration of survival rates. For example, if a specific genotype (egg. AAA, or homozygous dominant) is lethal, there will be no (0) adults in the population. Or perhaps there are limiting factors that limit a particular genotype to 50%, that case too is also selection. Migration is also known as gene flow. When members of a population migrate or move away from their habitat, various genes enter different communities and other populations. Migration rates are originally 100% if there is no net movement. Non-random mating means that mates are selected individually, and that perhaps two organisms mate so that their offspring will have beneficial features, also changing the species possible features. Genetic drift occurs in small populations, and it is the change of the populations gene pool due to chance (Pearson Education, Inc. 2002). Due to small numbers in the population, results are inconsistent and therefore change is frequent. Lastly, mutations are a case for evolution in that the rare changes in DNA cause genetic diversity (Pearson Education, Inc. 2002). One of the reoccurring themes in the laboratory procedure is the Hardy- Weinberg Equilibrium Theory. Under this theory by these two popular scientists, they stated that gene pool frequencies are inherently stable, but that evolution should be expected in all populations all the time; they resolved this apparent paradox by analyzing the probable net effects of evolutionary mechanisms (ONeil 2002). The particular conditions that had to exist for this to apply were that the population had no mutation, had no natural selection, was a large population, had only random mating, and had no migration. For the cases to follow later in the lab, Cases 1 and 2 exemplify Hardy-Weinberg conditions. All of he others either have selection or not enough members in the population, which will be the most-closely observed conditions. In this lab, there are also mathematical aspects. Population genetics is known as the branch of biology that provides the mathematical structure for the study of the process of microinstruction (Wisped 2004). An equation exists under the Hardy-Weinberg Equilibrium Theory. The equation (pa + PC + q) helps to determine the predicted amount of adults of a particular genotype under particular conditions. In the equation, p represents the dominant allele, noted by a capital letter, A for instance. Also, q in the equation represents the recessive allele, noted by a lowercase letter. And, as suspected, PC represents heterozygous. The equation was derived from when two alleles come to produce a genotype from p and q (VA 1996). Since the allele frequencies must add up to 1, q must equal 1 p and p must equal 1 q. Therefore an individual is represented by p + q, and the offspring could be found by (p + q)2, which comes out to pa + PC + q (VA 1996). Essentially, the allele frequencies could be multiplied by 100% to find the chance that that particular allele will show up in he next generation, given that the conditions are of Hardy-Weinberg. The students next hypothesized what would happen in the 6 cases that follows. They concluded that Case 1 was the control group and that there would only be small fluctuations in the allele frequencies. This is supported best by the fact that the conditions are under those described by Hardy and Weinberg. In Case 2, the students also hypothesized that there would be a small fluctuation in the allele frequencies, however they were different numbers due to the initial allele A frequency change. In Case 3, with the addition of selection, the students hypothesized that there would be no (O) adults with genotype AAA, and that therefore, the allele frequencies would have greater fluctuations. In Case 4, the students hypothesized that due to the selection rates, there would ultimately be a heterozygous advantage.

Impact of western culture on Big Box Business Essay

Impact of western culture on Big Box Business - Essay Example The research also analyzes these various situations and proposes recommendations regarding what is and what is not effective, in international expansion, relative to a respect for multicultural values and a sense of being open to new cultures. As shown in the case, a company like Wal-Mart which is expanding overseas must beware of perpetrating a situation which has the capability to be more divisive than unitary, and managers and leaders need to highlight issues of how important it is to examine intercultural communication and its effects on international negotiations. These are significant problems. Differences in language and culture can significantly impact movement towards global expansion of a company, be it Wal-Mart or some other entity. â€Å"Culture-centered approaches use qualitative anthropological approaches to describe a single culture in terms of its ethnology, religion, customs, etc. This approach is suitable when studying a single culture† (Hoffman, 2007). Cultural differences also highlight the need for global research into international markets, as a company like Wal-Mart that enters a foreign market unprepared and unversed in its language, regulations, union procedures, common reimbursement plans, and culture faces many potential difficulties and obstacles. For example, as Hoffman (2007) points out, Chevrolet introduced the Chevy Nova in Latin America without considering that â€Å"no va† means â€Å"does not go† in Spanish, and suffered some amount of embarrassment. Therefore, it is very important for a organization like Wal-Mart to consider differences in language and culture in its global research. The example of the miscommunications in the Wal-Mart case is a good illustration of how U.S. businesses have traditionally run into problems by relying too much on a centralized domestic command structure that does not give sufficient local autonomy for marketing and other operations. This is the same problem that the case mentions