Personal Narrative- Finding Christ Essay -- Personal Narrative, essay

The turmoil of life brought me down many hard paths from which I never fully recovered, until I met Jesus Christ. I could see that I was ending up in the wrong place, and I did not know how to get out of it. I had not been faithful to what was in my heart. I knew I was missing something. I knew I was missing Christ. The summer before I entered high school was filled with memories that I will never forget. I met a woman named Jennifer on the last day of my eighth-grade year. She was the Campus Life Minister for my school. She was concerned with where my life was going. Jennifer had seen me before at the school and she knew that I had a lot of trouble in my life. I was a student who made good grades, but I did not really care about anything. Jennifer pulled me aside one day and asked me if I knew about Jesus Christ. I told her that I did. I was raised a Catholic and I had been taught that Jesus Christ was the Son of God. Jennifer told me that there was more to God than just Him being the Son. She asked if she could meet with me and tell me more. At that point I was really que... Personal Narrative- Finding Christ Essay -- Personal Narrative, essay The turmoil of life brought me down many hard paths from which I never fully recovered, until I met Jesus Christ. I could see that I was ending up in the wrong place, and I did not know how to get out of it. I had not been faithful to what was in my heart. I knew I was missing something. I knew I was missing Christ. The summer before I entered high school was filled with memories that I will never forget. I met a woman named Jennifer on the last day of my eighth-grade year. She was the Campus Life Minister for my school. She was concerned with where my life was going. Jennifer had seen me before at the school and she knew that I had a lot of trouble in my life. I was a student who made good grades, but I did not really care about anything. Jennifer pulled me aside one day and asked me if I knew about Jesus Christ. I told her that I did. I was raised a Catholic and I had been taught that Jesus Christ was the Son of God. Jennifer told me that there was more to God than just Him being the Son. She asked if she could meet with me and tell me more. At that point I was really que...

Forensic Scientists Essay -- Criminal Investigative Laboratories, DNA

â€Å"Even with the reliability of DNA examinations, forensic scientists need additional safeguards to ensure the significance of their findings are not over- or under-interpreted† (Willis, 2011, p77). While laboratory techniques for DNA recovery and profiling are well established in criminal investigative laboratories (Bond, et al, 2007, p129), it can be argued that a possible weakness of the use of national databases are understaffing and/or under training of investigators and laboratory staff. Standardization of testing, analysis, evaluation and result presentation to the courts such as that the jury may understand how many people in the population are possible to match the particular DNA profile. This allows the jury to decide on all information presented to direct judgment (Lincoln, 1997, p26). Walsh et al. derived â€Å"an inferential model for DNA database performance using data from major national DNA database programs in 2010 using the parameters that optimizes desirable database outputs as matches† (Walsh et al., 2010, p1556). Research has taken â€Å"important steps toward identifying measures of performance for forensic DNA database operations† (Walsh et al., 2010, p1556). With the expansion of the national DNA database, hit â€Å"rates will continue to increase as approximately 25,000 to 35,000 new arrestee and convicted offender DNA profiles are entered† monthly (Gabriel et al., 2009, p408). Proper use of national DNA databases will strengthen both laboratory and policy efforts with â€Å"standards that guard against bias and error† (NAS, 2009, p111). Regardless of methods, automation or legislation laboratories and criminal investigators involved in forensic sciences must maintain integrity and professional training to expect credibility... ...f how a sample is deemed suitable for entry into the National DNA Database. For example the FBI Criminal Justice Information Service Division (Wide Area Network) recognizes entry into the NDIS of a forensic profile requires a DNA profile to contain ten or more specific CODIS core loci (FBI, 2011). As of 2010, England maintains authority at a National level under Home Office and National DNA Database Strategy Board (FSS, 2010) to regulate NDNAD entries under seven of 10 core loci requirement. These regulations can often change as technology advances such as that in England new PCR kits allow for testing of 15 loci, and as such if DNA samples are capable of being individualized by an increased number of loci authorities will have to address the possibility of enhanced core loci regulations for entry into national databases, while other countries advance accordingly.

The Benefits and Drawbacks of a Binary Tree Versus a Bushier Tree

Homework 3 4. Discuss the benefits and drawbacks of a binary tree versus a bushier tree. The structure of binary is simple than a bushier tree. Each parent node only has two child. It save the storage space. Besides, binary tree may deeper than bushier tree. The result record of binary may not very refine. 5. Construct a classification and regression tree to classify salary based on the other variables. Do as much as you can by hand, before turning to the software. Data: NO. 2 3 4 5 6 7 8 9 10 11 Staff Sales Management Occupation Service Gender Female Male Male Male Female Male Female Female Male Female Male Age 45 25 33 25 35 26 45 40 30 50 25 Salary $48,000 $25,000 $35,000 $45,000 $65,000 $45,000 $70,000 $50,000 $40,000 $40,000 $25,000 Level Level 3 Level 1 Level 2 Level 3 Level 4 Level 3 Level 4 Level 3 Level 2 Level 2 Level 1 Candidate Splits for t=Root Node Candidate Split 1 2 3 Left Child Node, tL Occupation = Service Occupation = Management Occupation = Sales Right Child Node, tR Occupation = {Management, Sales, Staff} Occupation = {Service, Sales, Staff} Occupation = {Service, Management, Staff} 5 6 7 8 9 10 11 12 Occupation = Staff Gender = Female Age 45 Values of the Components of the Optimality Measure =(s|t) for each candidate split, for the Split PL PR P(L=1|tL) P(L=2|tL) P(L=3|tL) P(L=4|tL) P(L=1|tR) P(L=2|tR) P(L=3|tR) P(L=4|tR) 2PLPR ? (s|t) Root Node 1 2 3 4 5 6 7 8 9 0. 27 0. 73 0. 33 0. 33 0. 33 0. 00 0. 13 0. 25 0. 38 0. 29 0. 25 0. 40 0. 23 0. 36 0. 64 0. 00 0. 18 0. 82 0. 00 0. 18 0. 82 0. 50 0. 45 0. 55 0. 00 0. 27 0. 73 0. 67 0. 36 0. 64 0. 50 0. 45 0. 55 0. 40 0. 55 0. 45 0. 33 0. 00 0. 50 0. 50 0. 20 0. 00 0. 00 0. 20 0. 33 0. 29 0. 25 0. 20 0. 50 0. 50 0. 00 0. 0 0. 33 0. 50 0. 40 0. 33 0. 29 0. 38 0. 40 0. 50 0. 00 0. 00 0. 40 0. 00 0. 00 0. 00 0. 00 0. 14 0. 13 0. 20 0. 29 0. 22 0. 11 0. 33 0. 00 0. 00 0. 00 0. 00 0. 00 0. 00 0. 00 0. 43 0. 22 0. 22 0. 33 0. 38 0. 43 0. 33 0. 20 0. 25 0. 33 1. 00 0. 00 0. 22 0. 22 0. 00 0. 25 0. 29 0. 33 0. 40 0. 25 0. 33 0. 00 0. 46 0. 30 0. 30 0. 50 0. 40 0. 46 0. 93 0. 50 0. 46 0. 40 1. 60 0. 66 0. 26 0. 40 0. 46 0. 53 0. 66 0. 46 0. 46 0. 30 0. 23 0. 26 0. 33 0. 44 0. 33 0. 38 0. 29 0. 33 0. 40 0. 50 0. 33 0. 00 10 0. 64 0. 36 0. 29 11 0. 73 0. 27 0. 25 12 0. 91 0. 09 0. 20 Optimality measure maximized to 0. 6, when occupation=†Management†(Left Branch), occupation=†Service or Sales or Staff†(Right Branch) After the first split, left child has records 4,5,6,7, right child has records 1,2,3,8,9,10,11. Now we split the left child which has records 4,5,6,7. Candidate Split 5 6 7 10 Left Child Node, tL Gender = Male Age 35 Values of the Components of the Optimality Measure =(s|t) for each candidate split, for the Split PL PR P(L=1|tL) P(L=2|tL) P(L=3|tL) P(L=4|tL) P(L=1|tR) P(L=2|tR) P(L=3|tR) P(L=4|tR) 2PLPR ? (s|t) each candidate split, for decision node A 5 6 7 0. 50 0. 50 0. 25 0. 75 0. 50 0. 50 0. 00 0. 00 0. 0 0. 00 0. 00 0. 00 0. 00 0. 00 0. 00 1. 00 1. 00 0. 00 0. 00 0. 00 0. 00 0. 00 0. 00 1. 00 0. 00 0. 50 1. 00 0. 00 0. 00 0. 00 0. 33 0. 00 0. 00 0. 67 1. 00 1. 00 0. 38 0. 50 0. 38 0. 50 1. 00 0. 50 1. 00 0. 67 0. 00 0. 33 10 0. 75 0. 25 Optimality measure maximized to 1. 00, when Gender=†Male†(Left Branch), Gender=†Female†(Right Branch) After this split, both left branch and right branch terminate to pure leaf node. The left child has records 4. 6 which value=†Level 3†³ and the right child has record 5,7 which value=†Level 4†³. Now we split the right child of root node which has records 1,2,3,8,9,10,11.Candidate Split 1 3 Left Child Node, tL Occupation = Service Occupation = Sales Right Child Node, tR Occupation = {Sales, Staff} Occupation = {Service, Staff} 4 5 6 8 9 11 12 Occupation = Staff Gender = Female Age 45 Values of the Components of the Optimality Measure =(s|t) for each candidate split, for the Split PL PR P(L=1|tL) P(L=2|tL) P(L=3|tL) P(L=4|tL) P(L=1|tR) P(L=2|tR ) P(L=3|tR) P(L=4|tR) 2PLPR ? (s|t) each candidate split, for decision node B 1 3 4 5 6 8 9 0. 43 0. 57 0. 29 0. 71 0. 29 0. 71 0. 43 0. 57 0. 29 0. 71 0. 43 0. 57 0. 57 0. 43 0. 33 0. 00 0. 50 0. 00 1. 0 0. 67 0. 50 0. 40 0. 33 0. 33 0. 50 0. 33 0. 50 0. 00 0. 00 0. 25 0. 40 0. 50 0. 25 0. 00 0. 49 0. 16 0. 40 0. 40 0. 50 0. 60 0. 50 0. 33 0. 50 1. 00 0. 20 0. 40 0. 00 0. 40 0. 50 0. 67 0. 50 0. 00 0. 00 0. 00 0. 00 0. 00 0. 00 0. 00 0. 00 0. 00 0. 41 0. 41 0. 49 0. 41 0. 49 0. 49 0. 41 0. 24 0. 33 0. 33 0. 65 0. 82 0. 65 0. 65 0. 33 0. 33 0. 50 0. 33 0. 00 0. 33 0. 50 0. 40 0. 33 0. 00 0. 67 0. 00 0. 00 0. 00 0. 20 0. 33 0. 00 0. 00 0. 00 0. 00 0. 00 0. 00 0. 00 0. 20 0. 50 0. 00 0. 00 0. 00 0. 00 0. 00 11 0. 71 0. 29 12 0. 86 0. 14 Optimality measure maximized to 0. 2, when Age†25†³(Right Branch) After this split, the left branch terminates to pure leaf node which has records 2,11 and value=†Level 1†³. The right branch has records 1,3,8,9,10. Now we split th e right child which has records 1,3,8,9,10. Candidate Split Left Child Node, tL Right Child Node, tR 1 3 4 5 8 9 11 12 Occupation = Service Occupation = Sales Occupation = Staff Gender = Female Age 45 Values of the Components of the Optimality Measure =(s|t) for each candidate split, for the Split PL PR P(L=1|tL) P(L=2|tL) P(L=3|tL) P(L=4|tL) P(L=1|tR) P(L=2|tR) P(L=3|tR) P(L=4|tR) 2PLPR ? (s|t) ach candidate split, for decision node C 1 3 4 5 8 9 0. 40 0. 60 0. 40 0. 60 0. 20 0. 80 0. 60 0. 40 0. 20 0. 80 0. 40 0. 60 0. 00 0. 00 0. 00 0. 00 0. 00 0. 00 0. 00 0. 00 0. 50 0. 50 1. 00 0. 50 0. 50 0. 00 0. 67 0. 00 0. 00 0. 33 0. 50 0. 00 0. 00 0. 00 0. 00 0. 00 0. 00 0. 00 0. 00 0. 00 0. 00 0. 00 0. 67 0. 67 0. 50 1. 00 0. 50 0. 33 0. 50 1. 00 0. 33 0. 00 0. 00 0. 00 0. 00 0. 00 0. 00 0. 00 0. 00 0. 48 0. 48 0. 32 0. 48 0. 32 0. 48 0. 48 0. 32 0. 16 0. 16 0. 32 0. 64 0. 32 0. 64 0. 16 0. 32 0. 33 0. 50 0. 00 0. 50 0. 67 0. 50 0. 00 0. 33 1. 00 1. 00 0. 67 0. 50 0. 00 0. 00 0. 00 0. 00 0. 00 11 0. 60 0. 40 12 0. 0 0. 20 Optimality measure maximized to 0. 64, when Gender=†Female†(Left Branch), Gender=†Male†(Right Branch) After this split, the right branch terminates to pure leaf node which has records 3,9 and the value=†Level 2†³. The left branch has records 1,8,9. Now we split the left child which has records 1,8,10. Candidate Split 1 3 4 11 12 Left Child Node,s tL Occupation = Service Occupation = Sales Occupation = Staff Age 45 Values of the Components of the Optimality Measure =(s|t) for each candidate split, for the Split PL PR P(L=1|tL) P(L=2|tL) P(L=3|tL) P(L=4|tL) P(L=1|tR) P(L=2|tR) P(L=3|tR) P(L=4|tR) 2PLPR ? s|t) each candidate split, for decision node D 1 3 4 0. 33 0. 67 0. 00 0. 33 0. 67 0. 00 0. 00 1. 00 0. 00 0. 00 0. 50 0. 50 0. 00 0. 44 0. 44 0. 00 1. 00 0. 00 0. 00 1. 00 0. 00 1. 00 1. 00 0. 00 0. 00 0. 00 0. 00 0. 00 0. 00 0. 00 0. 00 0. 50 0. 00 0. 50 1. 00 0. 50 1. 00 0. 50 0. 00 0. 00 0. 00 0. 00 0. 00 0. 44 0. 44 0. 44 0. 44 0. 44 0. 89 0. 44 0. 89 0. 33 0. 67 0. 00 11 0. 33 0. 67 0. 00 12 0. 67 0. 33 0. 00 Optimality measure maximized to 0. 89, when Occupation=†Staff†(Left Branch), Occupation=†Service or Sales†(Right Branch) After this split, both the left and right branch terminate to pure leaf node.The left branch has record 10 which value=†Level 2†³ and the right branch has records 1 and 8 which value=†Level 3†³. In summary, we construct the CART tree below, Root Node (All Records) Occupation management vs. not management Occupation=man agement Occupationmanag ement Decision Node A (Records 4,5,6,7 ) Gender=Female Gender=Male Age25 Level 3 (Records 4,6) Level 4 (Records 5,7) Decision Node C (Records 1,3,8,9,10) Gender=Female Decision Node D (Records 1,8,10) Gender=Male Level 2 (Records 3,9) Occupation=Staff Level 3 Occupation=Service or Sales Level 2 (Record 10) Records 1. 8) 6. Construct a C4. 5 decision tree to classify salary based on the other variables. Do as much as you can by hand, before turning to the software. Below is all candidate split and information gain for root node Candidate Split 1 Child Nodes Occupation = Service Occupation = Management Occupation = Sales Occupation = Staff 2 Gender = Female Gender = Male Age 25 Age 26 Age 30 Age 33 7 Age 35 8 Age 40 9 Age 45 0. 19 0. 12 0. 15 0. 38 Information Gain 0. 78 3 0. 55 4 0. 58 5 0. 38 6 0. 38 Candidate split 1 has highest Information Gain=0. 8 bits and chosen for initial split. And the initial split produces four second level decision node, decision node A,B,C and D. Then do the same process again until all leaf nodes have same target class values. The C4. 5 decision tree is below. Root Node(All Records) Occupation=Service, Management, Sales or Staff Occupation=Staff Occupation=Service Occupation= Management Decision Node A (Records 1,2,3) Decision Node B (Records 4,5,6,7) Occupation= Sales Decision Node C (Records 8,9) Decision Node D (Records 10,1 1) Gender=Female Level 4 (Records 5,7)Gender=Male Level 3 (Records 4,6) Gender=Male Gender=Female Gender=Male Level 2 Gender=Female Level 3 (Record 8) Level 2 (Record 9) (Record 10) Level 1 (Record 11) Gender=Female Level 3 (Record 1) Gender=Male Decision Node E (Records 2,3) Age25 Level 1 (Record 2) Level 2 (Record 3) 7. Compare the two decision trees and discuss the benefits and drawbacks of each. In this case, CART tree is deeper than C4. 5 tree. CART algorithm says each node(except left node) can only have two child. But C4. 5 algorithm don't have this restriction. Besides, most of leaf nodes of C4. tree have only one record, it may cause overfitting. 8. Generate the full set of decision rules for the CART decision tree. Antecedent if Occupation = Management and Gender = Male if Occupation = Management and Gender = Female if Occupation = Service, Sales, Staff and Age 25 and Gender = Female if Occupation = Service, Sales and Age ; 25 and Gender = Female if Occupation = Service, S ales, Staff and Age ; 25 and Gender = Male Consequent then Level 3 then Level 4 then Level 1 then Level 2 then Level 3 then Level 2 Support 2 2 2 1 2 2 Confidence 1. 0 1. 0 1. 0 1. 0 1. 0 1. 0 9.Generate the full set of decision rules for the C4. 5 decision tree. Antecedent if Occupation = Service and Gender = Female if Occupation = Service and Gender = Male and Age 25 if Occupation = Management and Gender = Female if Occupation = Management and Gender = Male if Occupation = Sales and Gender = Female if Occupation = Sales and Gender = Male if Occupation = Staff and Gender = Female if Occupation = Staff and Gender = Male Consequent then Level 3 then Level 1 then Level 2 then Level 4 then Level 3 then Level 3 then Level 2 then Level 2 then Level 1 Support 1/11 1/11 1/11 2/11 2/11 /11 1/11 1/11 1/11 Confidence 1. 0 1. 0 1. 0 1. 0 1. 0 1. 0 1. 0 1. 0 1. 0 10. Compare the two sets of decision rules and discuss the benefits and drawbacks of each. CART only has two branches, support is mor e than C4. 5, that is to say the result is not very refine. It is deeper than other trees most of the time. But it is easy to interpret. C4. 5 can have several branches. Support of C4. 5 is less than CART. The result is more accurate.

Individual Assignment Collecting Data Essay

Resource: University of Phoenix Material: Case Study Scenarios located on the student website. Select and review a case study scenario from the University of Phoenix Material: Case Study Scenarios located on the student website. Feel free to embellish the scenario with additional details, as needed. Complete the New Referral or Inquiry Form based on your selected case study scenario. Write a 350- to 700-word paper in Microsoft ® Word in which you discuss the importance of collecting appropriate data for intake and assessment forms.   Format your paper consistent with APA guidelines. Saying no to things that make you uncomfortable is just as important in college as it was when you lived with your parents. Many students experiment with alcohol or sex during their college years, but if you don’t want to do these things, don’t let anyone pressure you into them. Your college experience should be about having fun, exploring who you are and preparing for your future via your classes–not about doing things you don’t truly want to do. This pack includes BSHS 405 Week 2 Individual Assignment Collecting Data Business – Management Resource: University of Phoenix Material: Case Study Scenarios located on the student website.   Select and review a case study scenario from the University of Phoenix Material: Case Study Scenarios located on the student website. Feel free to embellish the scenario with additional details, as needed. Complete the New Referral or Inquiry Form based on your selected case study scenario. Write a 350- to 700-word paper in Microsoft ® Word in which you discuss the importance of collecting appropriate data for intake and assessment forms.   Format your paper consistent with APA guidel†¦ To get this material Click this link – https://bitly.com/12BY8mO Saying no to things that make you uncomfortable is just as important in college as it was when you lived with your parents. Many students experiment with alcohol or sex during their college years, but if you don’t want to do these things, don’t let anyone pressure you into them. Your college experience should be about having fun, exploring who you are and preparing for your future via your classes–not about doing things you don’t truly want to do. Business – Management Resource: University of Phoenix Material: Case Study Scenarios located on the student website. Select and review a case study scenario from the University of Phoenix Material: Case Study Scenarios located on the student website. Feel free to embellish the scenario with additional details, as needed. Complete the New Referral or Inquiry Form based on your selected case study scenario. Write a 350- to 700-word paper in Microsoft ® Word in which you discuss the importance of collecting appropriate data for intake and assessment forms.   Format your paper consistent with APA guidelines.

Cultural Attitudes Toward Prolonging Life Essay

A 25-year-old woman is dying of cancer. She has asked the â€Å"no extreme procedures be used to prolong life.† She is now comatose and can be kept alive only with machines. How would you decide whether her will should be respected? This question was given in class and the majority of my group responded that they would not go to any extreme measures to keep the 25-year-old woman alive. The majority of the group reasons were that it was her will and if that what she wanted then that’s what should happen. Another reason my group decided to go along with the woman’s will is the fact that medical procedures are very costly. One more reason my group decided to go along with the woman’s will is because she is suffering from an illness and it would be in her best interest not to have to suffer anymore. Although the majority of the group decided no to go to any extremes to prolong her life, I decided not to give up on life. I know that it might sound selfish on my part but life is a very special gift. My grandfather was a victim of cancer and he, despite all of the suffering he endured, wanted to stay alive for as long as he could. He wanted to remain a strong influence on how is family viewed life. Through the radiation treatments and constants visits to doctors he never gave up on his life. I can remember him saying â€Å"Baby I’m sick but I’m here with you and it makes the pain seem a bit more bearable.† Through this I learned never to give up on life even when it seem like there is no hope left.

Environmental Protection Essay

Environmental protection is an increasingly pressing issue all over the world. Ozone depletion, green house effect, global climate changes or global warming, etc, are the main issues in environment. Recent years, many countries and various organizations have paid more attention into environmental protection. A treaty about global environmental protection was discussed by 192 nations in Copenhagen in December 2011. But I fell every individual on this earth should make sacrifices to prevent environment changes. Yes it is the need of the hour. We should protect the world for the future generations. Why? It is because of mans greed he has the once beahtiful earth into a rubbish of Earth. He has increased his numbers to terrible proportions, has caused the death of hundreds of species of animals, has robbed and destroyed the planet in his search for fuels; now he stands, like a violent, spoilt child, delighted at the speed of his rise to power, It is he who is on the edge of the final mass destruction and of killing all the life which exists in the solar system. The Earth is our home but much of it is dirty and dying. Rapid industrial development caused a lot of ecological problems. They are: air pollution, water pollution, growth of population and shortage of mineral resources. Air becomes polluted with Cars, trucks, buses, airplanes, factories and plants send burnt gases into the air. The production of electricity causes not only air pollution but acid rains and global warming. Because of acid rains the Earth losses twenty million acres of tropical rainforests every year. This means the extinction of thousands of species that live there, for example tigers. Only 67 thousand tigers remain. Tigers are hunted and killed for their body parts. Ozone layer is destroyed too and the dangerous rays get through the atmosphere causing skin cancer and other diseases. Most of the air pollutants directly affect the respiratory and cardiovascular systems Nitrogen dioxide and ozone also effect the respiratory system, irritate the eyes, nose and throat and headaches. Carbon monoxide is able to displace oxygen in the blood which in turn can result in cardiovascular and neurological effects. Lead affects bone narrow, impairs liver and kidney function, causes neurological damage and also causes mental retardation in children. Oceans are vital for the life on Earth. We need to protect it. They provide homes for millions of plants and animals, provide people with food and help regulate the climate. But now they are a big dumping ground for tons of toxic waste. Most big cities pour their waste into seas and rivers. Water pollution is due to mixture of dirt, sewage and industrial waste , increased use of fertilizers and insecticides that seep through the earth and pollute the ground water As a result, there are numerous health problems like dysentery, cholera and paratyphoid fever. Noise pollution is yet another problem that the researchers say causes ulcers, abortions, cardiovascular diseases and hypertension besides several mental disorders. Checking of environmental pollution has been absolutely necessary. if it is not checked, the earth will become a graveyard. So we must give due attention to protect it from our own abuses. We must have balanced and planned industrial growth in order to check thin pollution. Towns and cities should be planned very carefully and stress should be given on planting of more trees. I would like to dwell on practical measures which must be taken in order to improve the ecological situation: -the factories must be removed from cities; -have balanced and planned industrial growth -purifying systems for cleaning and trapping harmful substances must be widely used; -green zones must be created by planting more trees. -almost everything is recyclable today – recycling is a great way to reduce waste. We need clean air to breathe and pure water to drink. So we have to prevent disposal of toxic waste and nuclear tests. I feel formal education programmed should be provided and implemented for the environ ­mental protection We need to conserve resources like water by planting rain water harvest in our houses Earth is the only planet endowed with a beautiful environment for man to live We should pass it on to our future generation as their legacy. Protect our earth today for our children tomorrow.

Ethical Consideration Project

The health care delivery system is constantly changing it will continue to impact the kinds of services that are provided by religiously affiliated institutions. The pursuit of increased health care coverage and access at decreased cost will undoubtedly result in market and legal pressure on Catholic sponsored hospitals that provide health care, because it would contravene their ethical, moral, and religious principles. Currently, the law does not compel religious institutions to provide care that does not comport with their beliefs this is a means that has to stop especially concerning the well-being of the patient. This continual evolution of ethical, moral, and religious health care delivery, however, threatens to diminish, if not completely shut down the ability of these sectarian hospitals to maintain control over the kinds of medical care that they provide. Specifically, in this era pervasive federal and state regulations of health care delivery will put pressure on religious providers to give care even if it is against their philosophical foundation or they will risk the chance of going out of business because of the lack of government funding like Medicare and Medicaid. The states pursuit of reform and the provisional requirement of health care services are now increasing even more, hospitals are now more reliant on government funding so there is a tension between Catholic hospital and government to give patients the proper care that is needed which is not based on moral beliefs. Because Catholic hospitals frequently cite religious, and moral beliefs as the bases for rejecting patient demands for abortion, and in this case the morning after pill as discussed in the Brownfield case this looming conflict between religious freedom and patient access for care will continue to grow. This growing conflict has brought difficulty to the legal, social, and to the policy makers who must attempt to resolve this issue. In the Brownfield case the morning-after pill prevents fertilization or inhibits implantation of the fertilized egg. A rape victim should have the necessary treatment available or get referred to another hospital and in an event that they are not given the proper treatment they should have a viable claim for medical malpractice. I agree with the decision that was made by the judge and here is my reasoning. If the morning after pill is given to a rape victim it stops the attachment of a fetus which was conceived under a vicious crime which would not be considered an abortion since the morning after pill has prevented the attachment. I think that it is a patient’s right to control their own health care and that this should prevail over any hospitals moral and religious convictions, because we as patients need to know what is available and the best treatment out there to insure our well-being.