Environmental Management . response 1 Essay Example | Topics and Well Written Essays - 250 words

Environmental Management . response 1 - Essay Example Barrier effect restricts species exchange thereby threatening their survival. Roads increase extinction rates of species since restricted movement causes inbreeding depression, which can wipe an entire species (Underhill, 2002). These assertions are true since presence of a road in a wildlife habitat causes disturbance or affects migration routes and even destroys homes of the species. Moreover, the author asserts that, in some instances, fragmentation caused by road can be beneficial to the animal population since it can help the species to re-colonize new areas. However, I partially agree with this notion since it occurs rarely and depends on the extent or coverage of the roads. Further, the author argues that the presence of a road in wildlife habitat increases chances or prevalence of animals being involved in fatalities or accidents (Underhill, 2002). This assertion is true since when animals cross the road, there are high chances of being knocked over by vehicles and this can result in death or injuries to the affected animal. The author proposes that in order to curb roadway fatalities, as well as minimizing population fragmentation, there is a need to devise a system whereby wildlife can move freely to each side of the road without any problem (Underhill, 2002). This can be achieved through construction of underground tunnels during building of new roads. I believe this is a noble idea and should be implemented without considering the expenses or costs to be incurred. This is because wildlife is of higher value compared to the cost of resources to be used in constructing the underground tunnels. Therefore, it is logical to spend many resources in conserving and protecting wildlife than save the resources and later experience species loss and extinction, which is more

Why ERP Essay Example | Topics and Well Written Essays - 750 words

Why ERP - Essay Example The similarities between two companies exist in terms of the product they produce i.e. furniture. The difference between companies existed in terms of the use of software. The company in North Carolina used MRP that did not yield effective results. On the other side, company in Ohio used ERP system that was helpful in employees’ training. The difference between two companies also exists in terms of volume of production. The per day production of the plant in Ohio is more than that of N. Carolina. There were different reasons that resulted in the success of SAP R/3 in Ohio. First of all, the system received the support of a number of employees, managers, and customers. The customers of the company encouraged the implementation of SAP R/3. The employees were involved in the development process that increased the effectiveness of training. ASAP is an approach that is used to implement R/3 software. The approach provides a company with steps or major phases. These steps include Project Preparation, Business Blueprint, Realization, Final Preparation, and Go Live and Support. I would have suggested the involvement of more people in order to develop the systems. Billy was not very persuasive when explaining the problems to Mr. McDougle. If I were in this situation, I would have tried my level best to analyze the decision of software implementation from both sides in order to persuade others. I would also have spent more time on getting an insight of the system in order to persuade

Knowledge Discovery and Data Mining

Knowledge Discovery and Data Mining Melchor Abejon With the increasing use of electronic health records (EHR), data collection in many Health Care Organizations (HCOs) has improved and accumulated at a remarkable pace. EHRs have enabled HCOs to generate and collect a vast amount of data and information from their daily encounter of patients. And this is when Health Informatics (HI) comes into play- to develop and employ computational theories, tools and techniques that can assist in extracting useful information and knowledge from these volumes of data, and use this knowledge to uncover useful patterns and to create models that can enhance decision-making and processes in the healthcare and HI industry. This process is called the Knowledge Discovery and Data Mining (KDDM). The purpose of this paper is to give an overview on why KDDM is a necessity in the healthcare and HI industry, and also to discuss how the aforementioned technique continues to improve the healthcare and HI industry. Benefits of KDDM in the Healthcare Industry The abundance of data and information in healthcare had made KDDM a necessity. According to Taranu (2015), with the growing rate of data accumulation in HCOs, there is a need for expert analysis of these vast medical data. The ability to use these data in order to extract useful information is a key factor for many health institutions to establish quality healthcare. Listed below are some of the benefits of KDDM in the healthcare industry: Increase in the accuracy of diagnoses. The use of predictive algorithms can help healthcare providers such as the physicians to make diagnosis more accurate and decide for the appropriate treatment for their patients. Prediction of patient population risk. KDDM enables the creation of programs and risk models that can be employed to recognize and detect high-risk patients and chronic diseases. Because of this, healthcare providers are able to design the right clinical intervention for their patients. Reduction in the rate of hospital admissions and readmissions. The creation of algorithm and predictive analytics can enable the identification of patients who are at high risk for hospital admissions, thus enabling providers to design more efficient clinical interventions to better treat their patients. Enhancement of clinical decision support. KDDM enables the comparison of symptoms, causes, treatments and analysis of effective clinical intervention for a group of patients. Prevention of diseases and promotion of general public health. The application of predictive analytics particularly in genomics can aid physicians to recognize their patients who are highly at risk of certain diseases. Also, through predictive analytics, pharmaceutical companies are able to develop drugs that suit the needs for specific groups of people. Better patient-related decisions and patient satisfaction. The identification of usage patterns, preferences and the current and future needs of patients can give information that will assist staff in their interaction with their patients. Patients will also be happy because they will be receiving a treatment that will really work for them. Detection of medical insurance fraud and abuse. The detection of unusual claims patterns can assist insurance companies in the detection of medical insurance fraud and abuse. Benefits of KDDM in the Health Informatics Industry According to Shukla, Patel and Sen (2014), HI can be subdivided into four main subfields which are the (a) clinical care, (b) administration of health services, (c) medical research, and (d) education and training; and that each subfield and can be extended and improved with the application of KDDM. Clinical care. One of the applications of HI in healthcare is in the aspect of clinical decision-making through the implementation of the Clinical Decision Support System (CDSS). This computer program is designed to assist healthcare providers in making clinical decisions through (a) information retrieval, (b) alert systems, (c) reminders, (d) suggestion systems, and (e) prediction models. The application of KDDM techniques on the database will render health providers analytical tools and as well as predictive tools that go beyond what is evident from the surface of the data. For example, predictive models can assist physicians to decide whether a certain patient would be treated as inpatient or as an outpatient. Administration of health services. Being an administrator of a healthcare entity can be a very tough job as this position requires daily critical decision making. The quality of information that these critical decisions are based on is an essential factor for this job. The KDDM technique can help in the creation of systems that can predict disease outbreaks, and can give representation of the benefits and the costs of the different preventive measures that are effective against a disease outbreak. Medical research. The application of KDDM is very successful in the medical research. Data mining methods can be applied on the vast medical data to extract useful patterns, predictive scoring systems and cause and effect relationships. Nelson and Staggers (2014, p.56) states KDDM can also be used to patch weaknesses in clinical data that pose a barrier to research. Education and training. E-learning is one of the rapidly growing method of learning in the healthcare and even in the HI industry. The application of KDDM in e-learning can efficiently monitor the progress in the learning process and as well as enhance the learning experience of students, administrators, and educators by recommending different learning methods, resources, and study materials. For educators, it can provide objective feedback about the course and students learning patterns. For administrators, they can learn about the users behavior, so that servers can be optimized and network traffic can be distributed. Through KDDM, the effectiveness of educational programs can be efficiently assessed. Conclusion With the growing accumulation of data in healthcare, no wonder KDDM will continue to be an indispensable tool than can be utilized to extract knowledge and insightful patterns which are essential in the development of systems and models to improve the safety and quality of healthcare. And as the use of health information systems continue to grow, KDDM will continue to mend the weaknesses and imperfections in clinical data to make these data more usable for the benefit of the healthcare and HI industry. References Crockett, D., Johnson, R., Eliason, B. (2014). What is data mining in healthcare? Retrieved January 15, 2017, from https://www.healthcatalyst.com/wp-content/uploads/2014/06/What-is-data-mining-in-healthcare.pdf Fayyad, U., Shapiro, P., and Smyth, P. (1996). From data mining to knowledge discovering in databases. Retrieved January 15, 2017, from http://www.aaai.org/ojs/index.php/aimagazine/article/viewFile/1230/1131 Miner, L.A. (2014). Seven ways predictive analytics can improve healthcare. Retrieved January 15, 2017, from https://www.elsevier.com/connect/seven-ways-predictive-analytics-can-improve-healthcare Nelson, R. Staggers, N. (2014). Health Informatics: An Interprofessional Approach. St. Louis, MO.: Elsevier Mosby Shukla, D.P., Patel, S.P., Sen, A.K. (2014). A literature review in health informatics using data mining techniques. Retrieved January 15, 2017, from http://ijournals.in/ijshre/wp-content/uploads/2014/02/IJSHRE-2220.pdf Taranut, I.(2015). Data mining in healthcare: Decision making and precision. Retrieved January 15, 2017, from http://eds.b.ebscohost.com.lib.kaplan.edu/eds/pdfviewer/pdfviewer?sid=0be35910-eda5-4fda-a7c2-1a72f0962ec8%40sessionmgr102vid=2hid=114 The Modeling Agency (2015). How data mining is helping healthcare. Retrieved January 15, 2017, from https://the-modeling-agency.com/how-data-mining-is-helping-healthcare/

Radio Controlled Airplanes :: essays research papers

Teenagers have many hobbies and interests and one thing that the hobbies have in common is that every hobby requires specific steps in order to archive success. Some hobbies require very little training such as baseball card collecting. other hobbies take quite a lot of training, to preform correctly. There are some very important steps to take in order to be successful in the hobby, radio controlled airplanes, and they are researching the type of planes, selecting and purchasing the plane, and assembling and flying it.   Ã‚  Ã‚  Ã‚  Ã‚  The first step for getting into the hobby of R.C.A. is to read as much as possible concerning R.C.A., and visit a quality hobby shop. The library and well stocked hobby shop are the best places to start. The library will have books that contain information about the various types of planes as well as the ease or difficulty of operating certain types of planes. The last step in the initial process is to go to the hobby shop and select a airplane based on the ease of assembly and price that is in ones budget.   Ã‚  Ã‚  Ã‚  Ã‚  The second step in the process is the assembly of the R.C.A. It is essential that the area for assembly be clean and devoid of clutter. All of the instructions should be read and committed to memory. Next the individual should lay out all of the parts according to the orders of assembly. The last step in this second process is correctly assemble the R.C.A.   Ã‚  Ã‚  Ã‚  Ã‚  The concluding and most enjoyable step is the actual flying of the plane. It is important to contact the local R.C.A club and find out where the meetings are located , where they fly their airplanes and what it takes to join the club. After the information is gained its time to go out and fly the R.C.A. Try to watch a person use the controls and learn as much as possible from an individual who has flown for a long time and is proficient at flying.

Comparing and contrasting lease versus purchase options Essay

It is important to know the difference between lease purchase and lease option. The use of leases can also have an impact on a company’s liquidity profitability ratios (Schroeder, Clark, & Cathey, 2005). First the organization should study the expenses of what it would cost to lease as to what it cost to purchase this can be done with a reduced cash flow evaluation. The study would compare the expense of the alternatives by taking into account the scheduling of payments, tax benefits, and interest rates on any loans, and other financial arrangements. To make an evaluation, the company has to be sure about the financially viable lifespan of equipment, this would also include the salvage value and depreciation of such equipment. Here is a brief description of what debt financing is referred as. Debt financing is when money is borrowed by an organization and has to be repaid back with interest. Debt financing does dilute the ownership of the company. Debt financing can be looked at as either a long-term debt or short-term debt. Two examples of debt financing are the issue of Bonds and a Line of Credit. Line of Credit is a bank loan where a company can draw out funds when times are slow, and money is needed. Bonds can be issued as form of debt financing. Bonds are usually long-term and come with a maturity ranging from seven to 30 years. These bonds are usually underwritten by a bank or securities firm who assist in the sales of these bonds. Equity financing is another method of raising money by selling company stock to outside investors. In return for their interest in buying stock, the shareholder receives ownership interest in the company. An advantage to using debt is that the debt helps to produce and hold greater investment returns for the company’s equity holders. When using debt financing the primary advantage is that it allows the founders to hold ownership and control of the company. The disadvantage to this is that it  requires smaller business to make monthly payments of both principal and interest. The use of capital structure depends on what a company can afford some small companies cannot afford debt financing like larger corporations. I think equity financing is a good way for smaller companies to raise capital because the owner can still hold on to control and raise money at the same time. Reference Schroeder, R.G., Clark, M.W., & Cathey, J.M. (2005). Financial Accounting Theory and Analysis (8th Ed.). Hoboken, New Jersey: John Wiley & Sons.

Bishop’s “The Fish” Poetry Response Essay

In the poem â€Å"The Fish,† Elizabeth Bishop uses a fish as a symbol to express the theme of life and experience. The poem by itself has little structure to it. There are no apparent rhyme schemes, nor any clear meters. However, Bishop uses very powerful diction and ideas in the poem, forcing the reader to think and relate it to a greater aspect of his/her own life. The persona has a very mature and serious tone, and some gloomy element to his/her mood. The poem uses a significant amount of imagery. Descriptions like â€Å"brown skin hung in strips† and â€Å"fresh and crisp with blood† are common throughout the poem. The reader can almost see the fish on the boat, waiting for its life to end. Bishop also uses a plethora of colors in the poem. Colors include: â€Å"brown skin,† â€Å"green weed,† â€Å"dramatic reds and blacks,† â€Å"yellowed,† â€Å"green line,† and it also contains the combination of all the colors in the sp ectrum as â€Å"rainbow, rainbow, rainbow!† was repeated in the poem. The Colors are there to enhance the imagery and also work archetypically to express the mood of the poem. When the persona states that the â€Å"oil had spread a rainbow,† it should indicate that tears has formed in her eyes, splitting the light into its spectrum, as she also mentions â€Å"sun-cracked thwarts.† At the end where â€Å"everything was rainbow,† tears had flooded her eyes, blurring every sight and showing only splashes of colors all around. At the beginning of the poem, the persona notes that the fish did not fight at all. She describes the fish as â€Å"battered,† â€Å"homely,† but yet â€Å"venerable.† Later she discovers that the fish has fought many battles, and the broken lines are signs of victory. She realizes the fish is not just something that gives up without a fight, but it is something that has just fought too long and is tired of it. The persona realizes what the fish has gone through and instantly gains respect and condemnation for it. She lets it go. For writing this poem, the author might have a family member that was suffering from a disease. After a long time of painful struggle, that member finally gives up because he/she saw through the value of life, just like the fish. However, there is one thing that I disagree with the persona, because she states the fish has â€Å"a five-haired beard of wisdom.† In my opinion it should be â€Å"five-haired beard of stupidity† since the fish cannot learn from its past.