Battle of Berlin in World War II

Battle of Berlin in World War II The Battle of Berlin was a sustained and ultimately successful attack on the German city by the Allied forces in the Soviet Union from April 16–May 2, 1945, during World War II (1939–1945). Armies Commanders Allies: Soviet Union Marshal Georgy ZhukovMarshal Konstantin RokossovskyMarshal Ivan KonevGeneral Vasily Chuikovapprox. 2,500,000 men Axis: Germany General Gotthard HeinriciGeneral Kurt von TippelskirchField Marshal Ferdinand Schà ¶rnerLieutenant General Hellmuth ReymannGeneral Helmuth WeidlingMajor General Erich Brenfngerapprox. 766,750 men Background Having driven across Poland and into Germany, Soviet forces began planning for an offensive against Berlin. Though supported by American and British aircraft, the campaign would be entirely conducted by the Red Army on the ground. General Dwight D. Eisenhower saw no reason to sustain losses for an objective that would ultimately fall into the Soviet occupation zone after the war. For the offensive, the Red Army massed Marshal Georgy Zhukovs 1st Belorussian Front to the east of Berlin with Marshal Konstantin Rokossovkys 2nd Belorussian Front to the north and Marshal Ivan Konevs 1st Ukrainian Front to the south. Opposing the Soviets was General Gotthard Heinricis Army Group Vistula supported by Army Group Centre to the south. One of Germanys premier defensive generals, Heinrici elected not to defend along the Oder River and instead heavily fortified the Seelow Heights east of Berlin. This position was supported by successive lines of defenses extending back to the city as well as by inundating the Oders floodplain by opening reservoirs. Defense of the capital proper was tasked to Lieutenant General Helmuth Reymann. Though their forces looked strong on paper, Heinrici and Reymanns divisions were badly depleted. The Attack Begins Moving forward on April 16, Zhukovs men assaulted the Seelow Heights. In one of the last major pitched battles of World War II in Europe, the Soviets captured the position after four days of fighting but sustained over 30,000 killed. To the south, Konevs command captured Forst and broke into open country south of Berlin. While part of Konevs forces swung north towards Berlin, another pressed west to unite with advancing American troops. These breakthroughs saw Soviet troops nearly envelop the German 9th Army. Pushing westward, 1st Belorussian Front approached Berlin from the east and northeast. On April 21, its artillery began shelling the city. Encircling the City As Zhukov drove on the city, the 1st Ukrainian Front continued to make gains to the south. Driving back the northern part of Army Group Center, Konev compelled that command to retreat towards Czechoslovakia. Pushing forward north of Juterbog on April 21, his troops passed south of Berlin. Both of these advances were supported by Rokossovsky to the north who was advancing against the northern part of Army Group Vistula. In Berlin, Adolf Hitler began to despair and concluded that the war was lost. In an effort to rescue the situation, the 12th Army was ordered east on April 22 in the hope it could unite with 9th Army. The Germans then intended for the combined force to aid in defending the city. The next day, Konevs front completed the encirclement of the 9th Army while also engaging the lead elements of the 12th. Unhappy with Reymanns performance, Hitler replaced him with General Helmuth Weidling. On April 24, elements of Zhukov and Konevs fronts met west of Berlin completing the encirclement of the city. Consolidating this position, they began probing the citys defenses. While Rokossovsky continued to advance in the north, part of Konevs front met the American 1st Army at Torgau on April 25. Outside of the City With Army Group Centre disengaging, Konev faced two separate German forces in the form of the 9th Army which was trapped around Halbe and the 12th Army which was attempting to break into Berlin. As the battle progressed, 9th Army attempted to break out and was partially successful with around 25,000 men reaching 12th Armys lines. On April 28/29, Heinrici was to be replaced by General Kurt Student.  Until Student could arrive (he never did), command was given to General Kurt von Tippelskirch. Attacking northeast, General Walther Wencks 12th Army had some success before being halted 20 miles from the city at Lake Schwielow. Unable to advance and coming under attack, Wenck retreated towards the Elbe and U.S. forces. The Final Battle Within Berlin, Weidling possessed around 45,000 men composed of Wehrmacht, SS, Hitler Youth, and Volkssturm militia. Initial Soviet assaults on Berlin began on April 23, a day before the city was encircled. Striking from the southeast, they met heavy resistance but reached the Berlin S-Bahn railway near Teltow Canal by the following evening. On April 26, Lieutenant General Vasily Chuikovs 8th Guards Army advanced from the south and attacked Tempelhof Airport. By the next day, Soviet forces were pushing into the city along multiple lines from the south, southeast, and north. Early on April 29, Soviet troops crossed Moltke Bridge and began attacks on the Interior Ministry. These were slowed by a lack of artillery support. After capturing Gestapo headquarters later that day, the Soviets pressed on to the Reichstag. Assaulting the iconic building the next day, they succeeded in famously hoisting a flag over it after hours of brutal fighting. A further two days were needed to completely clear the Germans from the building. Meeting with Hitler early on April 30, Weidling informed him that the defenders would soon run out of ammunition. Seeing no other option, Hitler authorized Weidling to attempt a breakout. Unwilling to leave the city and with the Soviets nearing, Hitler and Eva Braun, who were married on April 29, remained in the Fà ¼hrerbunker and then committed suicide later in the day. With Hitlers death, Grand Admiral Karl Doenitz became president while Joseph Goebbels, who was in Berlin, became chancellor. On May 1, the citys remaining 10,000 defenders were forced into a shrinking area in the city center. Though General Hans Krebs, Chief of the General Staff, opened surrender talks with Chuikov, he was prevented from coming to terms by Goebbels who wished to continue the fight. This ceased to be an issue later in the day when Goebbels committed suicide.? Though the way was clear to surrender, Krebs elected to wait until the following morning so that a breakout could be attempted that night. Moving forward, the Germans sought to escape along three different routes. Only those who passed through the Tiergarten had success penetrating the Soviet lines, though few successfully reached American lines. Early on May 2, Soviet forces captured the Reich Chancellery. At 6:00 am, Weidling surrendered with his staff. Taken to Chuikov, he promptly ordered all remaining German forces in Berlin to surrender. Battle of Berlin Aftermath The Battle of Berlin effectively ended fighting on the Eastern Front and in Europe as a whole. With Hitlers death and complete military defeat, Germany unconditionally surrendered on May 7. Taking possession of Berlin, the Soviets worked to restore services and distribute food to the citys inhabitants. These efforts at humanitarian aid were somewhat marred by some Soviet units which plundered the city and assaulted the populace. In the fighting for Berlin, the Soviets lost 81,116 killed/missing and 280,251 wounded. German casualties are a matter of debate with early Soviet estimates being as high as 458,080 killed and 479,298 captured. Civilian losses may have been as high as 125,000.

Eurasian Badger Facts

Eurasian Badger Facts The Eurasian badger or European badger (Meles meles) is a social, omnivorous mammal that resides in woodlands, pastures, suburbs, and urban parks throughout most of Europe and Asia. In Europe, the badgers are also known by several common names including brock, pate, grey, and bawson. Fast Facts: Eurasian Badger Scientific Name: Meles melesCommon Name(s): Eurasian badger, European badger, Asian badger. In Europe: brock, pate, grey, and bawsonBasic Animal Group: Mammal  Ã‚  Size: 22–35 inches longWeight: Females weigh between 14.5–30 pounds, males are 20–36 poundsLifespan: 6 yearsDiet:  OmnivoreHabitat: Europe and AsiaPopulation: Worldwide unknown; range size variesConservation Status: Least Concern; considered Endangered in Albania Description Eurasian badgers are powerfully built mammals that have a short, fat body and short, sturdy legs well suited for digging. The bottoms of their feet are naked and they have strong claws that are elongated with a sharp end honed for excavation. They have small eyes, small ears, and a long head. Their skulls are heavy and elongated and they have oval braincases. Their fur is grayish and they have black faces with white stripes on the top and sides of their face and neck. Badgers range in body length from about 22–35 inches, with a tail extending another 4.5 to 20 inches. Females weigh between 14.5–30 pounds, while males weigh from 20–36 pounds. DamianKuzdak/Getty Images Species Once thought to be a single species, some researchers split them into subspecies which are similar in appearance and behavior but have different ranges. Common badger (Meles meles meles)Cretan badger (Meles meles arcalus)Trans Caucasian badger (Meles meles canascens)Kizlyar badger (Meles meles heptneri)Iberian badger (Meles meles marianensis)Norwegian badger (Meles meles milleri)Rhodes badger (Meles meles rhodius)Fergana badger (Meles meles severzovi) Habitat European badgers are found throughout the British Isles, Europe, and Scandinavia. Their range extends westward to the Volga River. West of the Volga River, Asian badgers are common. They are most often studied as a group and referred to in the scholarly press simply as Eurasian badgers. Eurasian badgers prefer deciduous woods with clearings or open pastureland with small patches of wood. They are also found in a wide variety of temperate ecosystems, mixed and coniferous woodlands, scrub, suburban areas, and urban parks. Subspecies are found in mountains, plains, and even semi-deserts. Territory ranges vary depending on food availability and so reliable population estimates are not currently available. Diet Eurasian badgers are omnivores. They are opportunistic foragers that consume fruit, nuts, bulbs, tubers, acorns and cereal crops, as well as invertebrates such as earthworms, insects, snails, and slugs. They also eat small mammals such as rats, voles, shrews, moles, mice, and rabbits. When available, they will also feed on small reptiles and amphibians such as frogs, snakes, newts, and lizards. The badgers forage alone even when involved in a social group: Eurasian badgers live in territorial, mixed-sex social colonies each sharing a communal burrow. The animals are nocturnal and spend much of the daylight hours hidden away in their setts. Behavior Eurasian badgers are social animals that live in colonies of six to 20 individuals made up of multiple males, breeding and non-breeding females, and cubs. The groups create and reside in a network of underground tunnels known as a sett or den. Some setts are large enough to house more than a dozen badgers and can have tunnels that are as much as 1,000 feet long with numerous openings to the surface. Badgers excavate their setts in well-drained soils that are easy to dig in. The tunnels are 2–6 feet beneath the surface of the ground and the badgers often construct large chambers where they sleep or care for their young. When digging tunnels, badgers create large mounds outside the entryway. By placing entrances on slopes, the badgers can push the debris down the hill and away from the opening. They do the same when cleaning out their sett, pushing bedding material and other waste out and away from the opening. Groups of badgers are known as colonies and each colony may construct and use several different setts throughout their territory. The setts they use depend on the distribution of food resources within their territory as well as whether or not it is breeding season and young are to be raised in the sett. Setts or sections of setts not used by badgers are sometimes occupied by other animals such as foxes or rabbits. Like bears, badgers experience winter sleep during which time they become less active but their body temperature does not drop as it does in full hibernation. In late summer, badgers begin to gain the weight they will need to power themselves through their winter sleep period. Reproduction Eurasian badgers are polygynous, meaning males mate with multiple females but females only mate with one male. Within social groups, however, only the dominant male and female mate. Dominant females are known to kill cubs from non-dominant females in the social group. Badgers can mate year round, but most commonly in late winter through early spring and late summer through early fall. At times, males expand their territories to cross-breed with extra-group females. Gestation lasts between 9 and 21 months and litters produce 1–6 cubs at a time; females are fertile during pregnancy so multiple paternity births are common. Cubs first emerge from their dens after eight to 10 weeks and are weaned by the age of 2.5 months. They are sexually mature at about a year old, and their lifespans are typically six years, although the oldest known wild badger lived to 14. TonyBaggett/Getty Images Threats European badgers do not have many predators or natural enemies. In some parts of their range, wolves, dogs, and lynxes pose a threat. In some areas, Eurasian badgers live side-by-side other predators such as foxes without conflict. The IUCN Red List comments that since Eurasian badgers occur in many protected areas and there are high densities found in anthropogenic habitats in large parts of its range, the Eurasian badger is highly unlikely to be declining at nearly the rate required to qualify for listing even as Near Threatened. They are targeted for hunting for food or persecuted as a pest, and in some urban and suburban areas, the population has decreased. Although estimates are unreliable, researchers believe the overall population has been increasing throughout their range since the 1980s. During the mid-1990s, the Badgers were classed Lower Risk/least concern (LR/LC) because of elevated occurrence of rabies and tuberculosis, although those diseases have since decreased substantially. Sources Carpenter, Petra J., et al. Mating System of the Eurasian Badger. Molecular Ecology 14.1 (2005): 273-84. Print.,Meles Meles, in a High Density Populationda Silva, Jack, David W. MacDonald, and Peter G. H. Evans. Net Costs of Group Living in a Solitary Forager, the Eurasian Badger (Meles meles). Behavioral Ecology 5.2 (1994): 151-58. Print.Frantz, A. C., et al. Reliable Microsatellite Genotyping of the Eurasian Badger (Meles Meles) Using Faecal DNA. Molecular Ecology 12.6 (2003): 1649-61. Print.Frantz, Alain C., et al. Estimating Population Size by Genotyping Remotely Plucked Hair: The Eurasian Badger. Journal of Applied Ecology 41.5 (2004): 985-95. Print.Kranz, A., A.V. Abramov, J. Herrero, and T. Maran. Meles meles. The IUCN Red List of Threatened Species.T29673A45203002, 2016.  Wang, A. Eurasian badgers (Meles meles). Animal Diversity, 2011.

Zambia Essay Example | Topics and Well Written Essays - 2000 words

Zambia - Essay Example The authors provide refreshing ideas on how Zambian wealth could be enhanced through formulation of better policies on environment in a country that heavily relies on copper mining for its economic mainstay. The authors acknowledge that development of Zambian economy mainly relies on â€Å"prudent environmental management†. To ensure the preservation of wealth in the country, Aongola et al emphasize on the need of promoting â€Å"sustainable development† in all sectors of Zambian economy. The authors refer extensively to previous research on Zambian economy and resources. This article provided me with a wider perspective of Zambian natural resources and social, political impediments that causes unsustainable utilization of resources. 2. Campbell, et al. Miombo woodlands: Opportunities and barriers to sustainable forests management. 2007. 2 June 2011. Retrieved from http://www.cifor.cgiar.org/miombo/docs/Campbell_BarriersandOpportunities.pdf The authors are natural resou rces experts, with many years of teaching experience in Universities across southern Africa. This article focuses on the Miombo Woodland, extensive tropical and seasonal woodland that covers an approximately 2.7 million Km2 across seven southern African countries including Zambia. The authors provide an overview of the critical role that Miombo woodland play in maintaining livelihoods of about 100 million inhabitants in southern Africa. The authors note, â€Å"high poverty levels in these countries have resulted to overexploitation of the woodland, a situation that threatens the ecological balance in Zambia†. This article provides an important contribution to this paper by highlighting the importance of Miombo woodland resources in mitigating poverty in Zambia and other southern African states. 3. Dorothy, F. A review of economic, governance and natural resource policy reform in southern Africa, with special reference to the case of Zambia. 11 Oct 2004. 1 June 2011. Retrieved from http://www.infra.kth.se/courses/1H1142/Furberg_EconChange.pdf This article focuses on the economic, governance and natural resources policies in Zambia. The author identifies lack of equitable and sustainable economic development as the main challenges that undermine social, political and economic development in Zambia. The author attributes the current environmental and economic problems in Zambia to previous political regimes in the country that instigated â€Å"poor political systems and environmental policies in the country†. The article provides a refreshing historical overview of Zambian political evolution and how it has influenced exploitation of natural resources in the country to date. 4. Jumbe, et al. Contributions of the Dry Forests to Rural Livelihoods and the National Economy in Zambia. 2007. 2 June 2011. Retrieved from http://www.cifor.cgiar.org/miombo/docs/ZambiaNationalCaseStudy.pdf The authors have critically evaluated the role of dry forests in enhanc ing economy of Zambia especially in the rural regions. According to the authors, dry forests in Zambia are important sources of wood, firewood, honey, wild fruits, traditional medicine, agriculture and an important source of income among the rural residents. This article is refreshing because it focuses on forest, an important non- mining resource in the Zambian economy. 5. MTENR. National Policy on Environment: Zambia. May 2005. 1 June 2011. www.mtenr.gov.zm/index.php?option=com_docman&task=doc The article is the policy document of the Zambian government on the environment and it highlights the strategic goals of development through utilization of natural resources. The government ministries, including tourism, environment and natural resou

Ethics of Cloning and Genetic Manipulation Essay

Ethics of Cloning and Genetic Manipulation - Essay Example To daily life it gives the possibilities to cures for countless material improvements and diseases. The human genome project symbolized the hopes for the benefits of genetic manipulation, in the human species a vast international effort to categorize all the genes. For its potential for misuse genetic manipulation frightens many people. Either through simple bungling that might develop a biological holocaust which is caused by the viruses made by man or either through the Nazi style scheme for the control of the population. The single concept on the cutting edge of the genetic manipulation is cloning. Clone is an organism or cell or groups of cell that consist the genetics information identical to that of the organism or parent cell. Cloning is not as new as it seem, it is a form of asexual reproduction. The new thing is the ability of humans to manipulate cloning at the genetic level. 2,000 years ago the humans produced the first clone and at that time the plants developed from step cuttings and grafts. In cloning the process call into the use of DNA replication and calls into play complex laboratories techniques. A relatively recent scientific advance is usually mean by the people. Between these techniques cloning is the ability to copy and isolate the separate genes that direct a development of organism. Karl Marx was revolutionary leader, radical economist and Germen Philosopher. He had founded the modern scientific socialism. In the mind of Marx the central idea is the material conception of history. Every message of his provides new meaning of life and hope to the millions of peoples. According to his conflict concept of cloning the cloning can bring many changes. In Australia a new animal was discovered several years ago and that animal was appeared to be kosher pig. Previously the animal was unknown, the status of kosher was governed by the rules and that rules were very much old. And after much speech it was decided that it was indeed non kosher. The new creation of cloning is a baby with no parents. To encompass this new reality the people of world stretches its concepts of ethics and morality. If the human cloning is permitted then the Jewish world also endeavors to decide. In Jewish law regarding cloning there is no clear consensus. To clone people is a technology which is not yet considered as a reality. This issue is not a practical one, this issue is an academic one. Because of these reasons there have no actual cases in Jewish law which has been decided as they realize strongly upon the precedent. The prominent rabbis still publish the scholarly analysis. It has ruled by one of the prominent authority of American Halachic that in certain instances cloning is permitted. Before a final consensus is reached many Jewish laws technical issues will have to be resolved. Before the final decision reached many deep philosophies concepts will have to be applied on cloning. About the nature of the individuals that would be produced through cloning and genetic influence some of the concerns are based on the false beliefs. The fear is that a clone will be a carbon copy of some one else, it would not be an individual. Many scientists gives their opinion about clone that clone would be more like a delayed identical twin and it would not in fact be an individual copy. And identical twins are two separate peoples. Genetic determinism

Objective view of world Essay Example | Topics and Well Written Essays - 1000 words

Objective view of world - Essay Example Objectivity allows a person to see the world in its true and real sense and make opinions about things or events based on facts and reality. Scientists advise that teenagers must be taught to think objectively in order to make them able to have more realistic view of the world and perceive things truly. Scientists are also trying to know that how boosting of neurons leads to subjective experience. Mathematical principles are used here in this paper in order to better understand the phenomenon of objectivity and subjectivity. Just while mapping routes of the world some generalizations have to be made no matter how accurate the description is provided simultaneously the views of reality differ for every person (McKenna 58). Many researches have been conducted to determine how human senses produce a subjective experience but yet the mystery it is not properly identified. As subjective experience is based on personal belief and perception of person, it is difficult to determine how a per son will react to a new situation. But this is possible in objectivity as this experience stands on strong footings of reality and truth. According to clinical psychologist, Dorothy Rowe the events occurring in a person’s life are not actual but the glimpses or guesswork that our brain perceives regarding the world by interpreting previous occurrences. Every individual is unique depending on the reason that no two persons experience a situation in the same light. Thoughts, images and adaptability are the factors that strengthens our sense of â€Å"self† (Rowe 18). In an article by Samuel, â€Å"How to Get an Objective Point of View†, he discussed that to have success in life it is always necessary to see the world with objectivity and hold an opinion which is based on reality. It is also important that people learn to accept what is truth and do not try to fit the truth with imagination. There is a problem with people who have their own imaginations and they thi nk everything is as good as they believe it to be. But in contrary things are not always as perfect as one considers. People who have an objective view believe that mostly perceptions are different from reality. It was also revealed in Samuel’s research that opinions of people about things and happenings in their own way sometimes lead to frustration and loss of direction. It happens when things do not happen in the way as they should occur according to their own vision. That is why it is important to see things in true context and accept the realities behind every situation. Research also discussed that looking at things with objective view is sometimes taken negative by some people as it allows seeing reality which is bitter at times. But in fact objectivism helps maintaining a balance between what is imagined and what is reality. Research concluded that if people view all the things and events happening in this world objectively, nothing will look terrible or pessimistic. Thinking that everything is normal makes a person feel good and changes experience of life by making it pleasant. In a research â€Å"The View from Nowhere†, Nagel found that each person has its own reasoning for quantifying an event and seeks different view of world. Moreover rise of science in recent years is trying to entirely alter the manner in which people perceive and recognize their position in this world. The comprehension of modern science comprise of mathematical concepts as elaborated by the discipline of physics. Nagal stated that

Evolutionary Polynomial Regression

Evolutionary Polynomial Regression Evolutionary polynomial regression (EPR) is a data mining technique based on evolutionary computing that was developed by Giustolisi and Savic (2006). It combines the power of genetic algorithm with numerical regression to develop symbolic models. EPR is a two-step technique in which, at the first step, exponents of symbolic structures are searched using a genetic algorithm (GA) that is the key idea behind the EPR, and in the second step, the parameters of the symbolic structures are determined by solving a linear least squares problem.   The general symbolic expression used in EPR can be presented as follows Where y is the estimated output of the process, m is the total number of the polynomial terms which excludes the bias term a0, F is a function constructed by the process, X is the matrix of independent input variables, f is a function defined by the user, and aj is a constant value for jth term. The first step and key idea in identification of the model structure in EPR is to transfer Equation 1 into the following vector form Where is the least-squares estimate vector of the N target values; is the vector of d=m+1 parameters aj and a0 ( is the transposed vector); and is a matrix formed by (unitary vector) for bias a0, and m vectors of variables. For a fixed j, the variables are a product of the independent predictor vectors of inputs, . EPR starts from Equation 2 and searches for the best structure, i.e. a combination of vectors of independent variables (inputs) . The matrix of input X is given as [15]: Where the kth column of X represents the candidate variable for the j th term of Equation 2. Therefore the jthterm of Equation 2 can be written as: Where, Z jis the jthcolumn vector in which its elements are products of candidate independent inputs and ES is a matrix of exponents. Therefore, the problem is to find the matrix ESkmof exponents whose bounds are specified by the user. For example, if a vector of candidate exponents for inputs, X , (chosen by user) is EX=[0,1,2] and number of terms (m) (excluding bias) is 4, and the number of independent variables (k) is 3, then the polynomial regression problem is to find a matrix of exponents ES 4-3 [15]. An example of such a matrix is given here Each exponent in ES corresponds to a value from the user-defined vector EX. Also, each row of ES determines the exponents of the candidate variables of jth term in equations (2). By implementing the above values in equation (4), the following set of expressions is obtained: Therefore, based on the matrix given in equation (5), the expression of equation (2) is given as: In the next stage, the adjustable parameters, aj, can now be computed, by means of the linear Least Squares (LS) method. The original EPR methodology was based on Single-objective Genetic Algorithm (SOGA) for explore the space of solutions while penalizing complex model structures using some penalization strategies. In this method, in the first stage, the maximum value for the number of terms (m) is assumed then a consecutive search for the formulas having 1 to m terms is undertaken. To accelerate convergence, the results obtained in each stage of search could be randomly entered into the population of the next stage search [15]. However the single-objective EPR methodology showed some drawbacks, and therefore the multi-objective genetic algorithm (MOGA) strategy has been added to EPR. In 2006, Guistolisi and Savic (2006) improved the EPR technique to overcome these shortcomings, using Multi-Objective Generic Algorithm (MOGA) instead of SOGA. The main features of the developed method are as follows [22]: 1) Increasing the model accuracy, 2) Reducing the number of polynomial coefficients, 3) Minimization of the number of inputs (e.g. the number of times each Xi appears in the model). In the developed version, a simultaneous search is conducted for polynomials having 1 to m coefficients; consequently, it is faster than the previous version (i.e., SOGA). In order to determine all models corresponding to the optimal trade-off between structural complexity and fitness level of the model, The EPR technique is Equipped with a range of objective functions which help to optimize the result based on Pareto dominance criterion. The objective functions used are: (i) Maximization of the fitness; (ii) Minimization of the total number of inputs selected by the modeling strategy; (iii) Minimization of the length of the model expression. The objective functions mentioned above can be used in a two objective configuration or all together. In which one of them will limit the complexity of the models, while at least one objective function controls the fitness of the models. In this study the multi-objective EPR is used to develop the EPR-based models. The coefficient of determination (COD) which is used to evaluated the level of models accuracy at each stage is Where Ya is the actual measured output value; Yp is the EPR-predicted value, and N is the number of data points in which the COD is computed.

My Last Day in California Essay -- Personal Narrative, essay about mys

  My eyes opened very early that morning. I looked out of window and saw beautiful weather outside.   It was cold wind.   The flowers in my garden were smiling at me.   All of a sudden my eyes got watery.   I remembered that this was my last day in California.   I was going to America early the next day morning with my parents and family.   The day was Saturday, 20th December.   Tears were running down my face.   I went downstairs; everybody in the house was sleeping.   They had been packing until late night and I didn't want to them wake them up.   Therefore, I went back upstairs.   I just started thinking about how I was going to leave my house, my friends, my relatives, and my country.   The place where I grew up, the people with whom I had grown up, how I was going to leave without them?   It was going to be very hard for me to leave something that I had used to.   I took out my album and started looking at pictures with my friends and r elatives.   I looked at the life that I had enjoyed with them.   The moments of happiness and sorrow that we had shared together.      Ã‚  Ã‚  Ã‚  Ã‚   The day begins, but it didn't begin as usual. Finally about 10 o'clock in the morning, I went down stairs.   Everybody was awake by that time.   They were busy in their work.   Nobody had time to hear me.   I saw a couple of guests sitting our drawing room so I went back upstairs again.   In a few minutes, the intercom in my room rang and I heard my mom tell me to get ready to go to the temple.   I took a bath and dressed up like a pretty Californian girl.   When I get downstairs, everybody was ready to g... ...The luggage was already in the car then we got in.   As we pulled away, I kept looking at my house as far as I could see it.   All of our friends and relatives were coming to the airport.   We got to the airport.   We were running little bit late.   Therefore, we had to hurry to get our luggage and check in.   No one else could enter the airport but customers so I looked at all of my relatives and friends one last time.   They all were crying.   We had never lived that far from each other.   We boarded the plane, and all I could do was cry.   I made my flight to Ohio.      Ã‚  Ã‚  Ã‚  Ã‚   Leaving my home was the saddest day of my life.   I am in Ohio now, still missing the life I enjoyed in California with my friends and family, still believing there is nothing better than home.