Muslims In India and Afghanistan free essay sample

A comprehensive overview of the history of Muslims in India and Afghanistan. A paper which explores the history of Muslims in India and Afghanistan from ancient times and until today. It shows Muslim influence on all sectors of society, including politics. The paper studies the persecution of Muslims in present day India and examines the rise of the Taliban to power in Afghanistan, its reign of terror and its defeat by the Americans after September 11th. Finally, the paper discusses the future of Muslims in both countries. In India, Hinduism is seen as a religion and way of life. Muslims who are living in India are under pressure to give up Islam and practice Hinduism. After the partition of India, thousands of Muslims were murdered or forced to leave India. Since then, militant Hindu organizations feel that Muslims have their own place Pakistan and have no right to live in India. We will write a custom essay sample on Muslims In India and Afghanistan or any similar topic specifically for you Do Not WasteYour Time HIRE WRITER Only 13.90 / page

buy custom Engineering a Greener Future essay

buy custom Engineering a Greener Future essay Humankind is growing more anxious of the effect carbon footprints will afflict on the future generations of the world. With the rise in the attention on green energy and green technology, it is impossible to imagine any advancement in the field without the involvement of the engineering disciplines. Green engineering is a term that is growing in use, and explains the role of engineering in the endeavor to lower the carbon emissions we create each day. The report looks at ways in which engineers have played a fundamental role in ushering in the era of green technology innovations. The concept of green engineering What is green engineering? Green engineering is the mechanism through which processes and products are designed to reduce the environmental impact in terms of pollution and human health hazards while brining about energy efficiency (Green Engineering 4). Is green engineering economically feasible? Concerns abound, as to whether the economic impact green technology will have on the profitability and viability of projects. Business organizations calling for green energy revolution are yet to answer one pertinent question pertaining to the capacity of green energy technology to conserve the environment and still remain economically viable. The answer is not a definitive yes or no, but it can lead to considerable discovery and innovation ideas that can protect the present fragile environment for future generations. Environmentally conscious projects like green energy technology bring profit and money, just as other energy projects like nuclear energy (Green Engineering 7). However, green energy is more receptive to the environment and prevents health hazards associated with nuclear power. Further, green energy technology is yet to be developed on large scale since major project are under pilot plant stage undergoing research and study. Small-scale companies and multinational corporations like Wal-Mart have already embraced green power to power their fleets and storage equipment. Nothing could be further from the truth, there are companies that have wholly embraced green technology in the engineering of their products and are just as profitable, if not more profitable than their skeptical counterparts (ACT 1). Therefore, there is a challenge among scholars and universities students to develop strategic green technology equipment and devices that can enhance production and consumption of green en ergy in homes and business environment. The myths about impracticality of the reliance on green engineering technology are slowly wearing off (Green Engineering 8). Real life examples abound on the effective application of green engineering in the running of daily organization operations such as power generation technology. Not only has green engineering reduced the carbon, but it has also resulted in an overall decrease in the overhead costs associated with the conventional modes of producing products. Green engineering technology ought to increases the cost efficiency of running an organization or a project, although theinitial set up cost may seem high, the overall benefits outweigh the costs and the impact of pollution the environment suffers (ACT 1). Green engineering technology is the way to go for business and engineering firms that wants to be part of the 21st century energy solutions. Consumer ethics have promoted the growth of ethical consumerism; a theory in which consumers do not just buy a product, but have a right to question means, processes and ways of manufacturing the product. In this respect, firms that adjust to green engineering technology will be at the forefront in the future business ventures, and stand to reap immense benefits from the growing legion of environment conscious consumers. Influence of engineers in green technology Green engineers have influenced largely the progress in the development of green revolution. Courses in universities and colleges must equip green engineers with knowledge and skills to assessment, evaluate, measure, and set the standards with environmental benefits. Chemical engineering offers a world of opportunities to the disciplines that aim to advance the field of green technology (Green Engineering 9). The redesigning of the chemical processes and evaluation of the environmental impacts of the operations that result in pollution has been greatly advanced through the field of chemical engineering. For instance, the evaluation of exposure levels chemicals cause to the environment and humans, both of which need protection from harm. Illumination of the green engineering The role of green engineering in reversing and mitigating adverse effects of carbon emissions is far from being impassive (Green Engineering 5). Green engineering technology and innovations is applicable to every stage of the manufacturing process, right from the selection of materials to use in the manufacturing, the waste handling mechanisms, storage conditions, energy consumption, and the safety of the processes by the firm. Green engineering is expected to provide better solutions to promote efficient fuel management policies and find alternative energy to the presence day petroleum that is causing inflations and hiking of food prices. The most cumbersome challenge at hand is for green engineers to find a cheaper and more available alternative fuel or mechanism to power automobiles. Green engineering technology is comprehensive in its mandate to determine the root cause of environmental harm of certain processes (Green Engineering 5). Through thorough and elaborate process of research, risk assessment, cost assessment, and detailed evaluation, the green engineer can offer a balanced insight into the impact of a certain process, which is of environmental concern while taking into consideration the special economic and technological conditions inherent in the organization at the time. Therefore, green engineering is not blind to the strategies of the firm to retain they profitability while still trying to roll back the specter of a deteriorating environment. Recent engineering developments in greeen technology In the modern world, green energy engineering focuses on measurement of power quality and consumption, vehicle and factories, determination of water quality. Green engineers design and develop tools through which data of the real world impact of environmental pollution can be assessed, and they develop the next generation of products and technologies with efficiency and reduced environmental impact (Instrumentation 11). Applications green engineering are visible in areas of environmental concerns such as renewable power generation, power quality, environmental monitoring, machine and process optimization, and development and testing of green products and technologies (Instrumentation 7). Innovations such as solar cell technology, wind turbine technologies and wave power technology are examples of green energy engineering in practice. Engineering has helped come up with better and more efficient designs that lower the inefficiencies in the traditional methods in which operations run (Green Engineering 6). In the field of computer engineering, engineers are designing more power efficient processors that are reducing the cost of power and at the same time increasing the efficiency and the length over which the use computing machines. The increase in the time over which the computer is usable means less disposal levels of electronica garbage. The automobile engineering technology is a hot topic for many enthusiasts of green revolution (Instrumentation 7). Green engineering are still in the process of developing systems that not only deduce the carbon emission as well as appeal to the car buyers who may be more than concerned about the functionality and the appearance of the vehicle beside the fuel technology. The other concern engineers need to address in this regard is the cost implications the technology will have to the car buyers, as well as the reliability of the battery or solar technology the cars have technology. Conclusions The current systems hinder the implementation of green technology engineering methods (ACT 1). There are also concerns among the attendants of green engineering workshops that too much focus on chemical engineering, other engineering segments also need attention as they can also contribute to the green energy technology. A major focus for green engineers is in renewable energy engineering (Green Engineering 5). Engineering is advancing the use of more energy efficient instrumentation, in a field that has shown the potential to reduce the cost to government of one billion dollars in the next five years. Growth in technological advancements as well as the consequential reduction in the cost gives much promise to the achievement of green engineering goals in the future. Most emerging technologies conscious of their environmental impact, and therefore the drift towards greener technology and engineering should be relatively easy. For instance, computing devices are made with technologies that use less power and therefore the fruits that come with green engineering show a good and prospective future. Buy custom Engineering a Greener Future essay

Cyclones and Earthquakes Essay Example | Topics and Well Written Essays - 1000 words

Cyclones and Earthquakes - Essay Example We cannot completely reduce the material damage done by these natural calamities but the number of human lives that are lost during these disasters can be considerably reduced. We can also lessen the after effects of the calamity like the emotional trauma of loosing near and dear ones. A number of psychological disorders like post traumatic disorder which can hamper an individual's normal life can be vanquished. The poor people are worst victims of a natural calamity. Lot of resources time and money is spent in trying to rehabilitate the individual who have suffered from these calamities. As far as the aftermath of a calamity is concerned cyclone and earthquakes produce similar effects. All these natural phenomena's are a threat to the health and well being of an individual. We cannot avert a natural disaster but we can properly manage it and reduce the damage to human property and mind. Forecast of These natural phenomena is the only thing that can be done and can be utilized to red uce the risk to human life and property. These natural phenomena are a result of the careless utilization of the bounties of nature. The director Salvano Briceno of the International Strategy for Disaster Reduction has vey rightly said that "Not only is the world globally facing more potential disasters but increasing numbers of people are becoming vulnerable to hazards," There are people who believe that it is global warming which is increasing the number and severity of the of these natural phenomena. There is no conclusive proof to the fact that global warming is a contributing factor in the occurrence of these natural disasters. Gradually over a period of time the temperature of the earth has increased as a result of human activity. This leads to the trapping of greenhouse gases in the atmosphere consequently raising the temperature of the earth. There is an increase in the number of hurricanes and cyclones in the world and this has been attributed to warmer sea surface and altered wind patterns .Global warming is seen as the cause of the warming up of the sea surface. In a sample study we can see that the nu mber of cyclones in the Atlantic have increased from six in 1900 to 1930 to 15 in 1995 to2005 (Science Daily, n.p) There is no direct relation of earthquakes with global warming but it has been predicted that the melting of the glaciers in the Alaskan region can amount to greater activity of the mobile earth crust i.e tectonic plates. The weight of the glaciers of the Alaskan region is acting as a deterrent for the movement of the tectonic plates. According to Sauber a leading researcher "Historically, when big ice masses started to retreat, the number of earthquakes increased. More than 10,000 years ago, at the end of the great ice age, big earthquakes occurred in Scandinavia as the large glaciers began to melt".( Science Daily, 2004) Therefore it can be deduced that global warming can lead to melting of ice in the Polar Regions and it turn can lead to heightened earthquake activity. Earthquakes and cyclones share similarities as far as the affect of them on human life is concerned. They differ in the causes and different methods of prediction of these calamities. There are different ways in which we can protect ourselves from these natural dis

Produce a report analysing past 3years financial performance of Essay

Produce a report analysing past 3years financial performance of Stanley Leisure plc - Essay Example hows the ability of the firm to meet its short term obligations from the most liquid assets, the trend is the same except in 2006 where there is a slight improvement. Reasons: The reason for the decline of the liquidity position is due to a poor working capital management policy embraces by the firm. Implications The firm's ability to meet its short - term inducing financial obligations is declining over time. 2. Profitability Profitability of the firm can be measured using the gross profit margin ratio, operating profit margin ratio and the net profit margin ratio. Observation Profitability of the firm declined in 2005 compared to the 2004 results before shooting up again in 2006. This is shown by the gross profit/ margin ratio declining from 4% in 2004 to 3.2% in 2005 before shooting to 10.4%. And lastly, the net profit margin ratio has also followed the same trend - 1.34% - 1.29% - 5.25% Implications The implications of the above observations can be adequately analysed on a ratio by ratio basis. (a) Gross Profit Margin Ratio This ratio shows the ability of the firm to control the cost of goods sold expenses. It means that for every 100% of sales 9Turnover) the gross profit was 4%, 3.2% and 17.3% for the years 2004, 2005 and 2006 respectively. The cost of sales comprised of 96% (100% - 4%), 86.8% (100% - 3.2%) and 82.7% (100% - 17.3%) for the years 2004, 2005, and 2006 respectively. This shows that the firm is not able to control its cost of goods sold expenses. (b) Operating Profit Margin Ratio This ratio shows/ indicates the ability of the firm to control its operating expenses such as telephone insurance premiums, salaries & wages distribution expenses etc. It shows that 95.77% (100% - 4.23%); 96.6% (100% - 3.4%) and 89.6% (100% - 10.4%) of sales revenue was... This ratio shows the ability of the firm to control the cost of goods sold expenses. It means that for every 100% of sales 9Turnover) the gross profit was 4%, 3.2% and 17.3% for the years 2004, 2005 and 2006 respectively. The cost of sales comprised of 96% (100% - 4%), 86.8% (100% - 3.2%) and 82.7% (100% - 17.3%) for the years 2004, 2005, and 2006 respectively. This shows that the firm is not able to control its cost of goods sold expenses. This ratio shows/ indicates the ability of the firm to control its operating expenses such as telephone insurance premiums, salaries & wages distribution expenses etc. It shows that 95.77% (100% - 4.23%); 96.6% (100% - 3.4%) and 89.6% (100% - 10.4%) of sales revenue was incurred to meet a) Cost of goods sold expenses and b) Operating expenses. Even though there was an improvement in 2006, the rates are still low and the firm must look for means and ways of further curbing the operating expenses. This ratio shows how the firm is able to control its financing expenses (interest charges), operating expenses and cost of goods sold expenses. For XXXX co, it means that for ever 100 of sales revenue only 1.34, 1.29 and 5.25 remained as profit after tax and 98.66; 98.71 and 94.75 relate to the amount incurred in paying off expenses including tax and interest charges. Investments are simply total assets.

Plant Diseases Through Image Processing Techniques Computer Science Essay

Plant Diseases Through Image Processing Techniques Computer Science Essay Damage of plant is an important issue in agriculture. There are lots of factors involving weather, fungi, artificial drying, and mechanical damage during harvest and storage which can cause damage. NIR spectroscopy for classifying sound and damaged soybean seeds is very useful. NIR spectrometer is used to collect the spectra of single seed then PLS and neural network are used for classification of sound and damaged seeds. Near infrared spectroscopy is used because machine vision cannot provide information related to chemical composition because it is only useful for visible regions. NIR spectroscopy is useful for both physical and chemical properties. Seeds of six categories are used which are sound, weather damaged, frost-damaged, sprout-damaged, heat damaged and mold damaged. Grams/32 software is used for changing reflectance of spectrum in color space L, a , b. L ranges from 0(black) to 100(white), a ranges from -100(green) to 100(red)and b ranges from -100(blue)to 100(yellow). NIR spectrometer is used to collect spectra at a rate of 30/s. Spectrum of 700 sound seeds and 900 seeds damaged by other factors were measured. Two class and six class models are used for classification of sound and damaged soybean seeds with the help of Partial Least Square (PLS) software. Two class model is used for classifying sound and damaged soybean seeds whereas six class model is used for classifying sound seeds and weather, frost, sprout, heat and mold damaged seeds. In order to develop a neural network model for classification of sound and damage soybean seed the Neural Works Professional II/Plus software package is used. The neural network model package is based on back propagation networks. In back propagation networks increment or decrement in weights is needed because of the errors. At first weights are randomly allocated but after every trial weights are adjusted until the errors are reduced to acceptable values. Physical and chemical properties of sound and damaged soybean seeds are totally different so by using only visible wavelength region results in poor classification. By using near infrared region important information can be obtained. Highest classification accuracies can be obtained by using full wavelength region (490-1690nm). By using visible and NIR wavelength region alone results in lower classification accuracy. The best classification can be obtained by using neural network without hidden layer. PLS gives higher classification accuracy if two class classifications is used but in case of classification of six categories classification neural network (NN) gives higher accuracy results. Computer Vision Based Weed Identification Under Field Conditions Using Controlled Lighting Identification of weeds in crops is done by using methods of digital image analysis. Different kind of weeds often grow up with crop and its difficult to differentiate crop and weed so digital image analysis are used which are useful for differentiating both. Images were captured through MatroxMeter(RGB) ,this device provides controlled lighting. Two crops cabbage and carrot are used in greenhouse and open field experiments . For greenhouse experiments weed was added but for open field experiments natural weed population In digital images, it is difficult to differentiate between crop plants and weeds especially when they reached on advanced growth stage. Segmentation algorithm is used for differentiating crops and weeds and soil. This algorithm is based on union of two sets of each image which are S(soil) and V(vegetation). V has two components C (crop) and W (weed). The crop image data used in this research was the image of cauliflower at four different growth stages which are grouped. Experiments were performed on the 12 images. Colour is an important distinguishing feature and used as one component of the selection algorithm. Noise can occur in images through which misclassification occur and can deal by using square morphological closing filter. in a large bright region this filter can reduce the noise by removing small dark holes. Erosion is used for suppressing small bright region and removed pixels from the outer edge of large bright regions. The central position of each plant is located by processing Pv with a large erosion filter. The output of erosion filter is bright central position of crop plant. At growing stage 4 this approach is modified, centroid of soil region has to be found instead of centroid of crop plant. weeds are the main source of bias in the location of grid point. Segmentation algorithm is used to identify crop plant pixels but there was a higher probability of weed pixels being classified as crop plant pixels because they are very close to crop plants and grew in rows. So the difference between the size and texture of crop plant and weed is used in order to find the location of crop plant boundary. Morphological opening filter separates crop from adjoining areas of weed. The last stage involved thresholding the output of opening filter. Improving Plant Discrimination In Image Processing By Use Of Different Colour Space Transformation Image processing is becoming popular in different agricultural applications. color images taken by a digital camera stored in RGB colour space. Colour cameras can deal with large variety of situation for differentiating single object from an image. Thresholding is applied on each colour channel. Separation of object can be improved by transforming RGB by weighting each channel in different way in order to emphasize specific features. Different colour transformations were performed and then compared them. 40 images of RGB colour spaces are used discriminant analysis, canonical transformation, i1i2i3, HSV, HSI and Lab colour spaces were used for transformation. Thresholding is performed on transformed image to convert it into binary images in order to differentiate plant and soil. Manual and automatic thresholding was for i1i2i3,thresholding according to hemming was used for HSV,HSI and Lab colour spaces. Discriminant analysis consists of colour transformation and binarisation. Thresho lding was not needed in discriminant analysis. Linear and logarithmic discriminant functions were used. Logarithmic discriminant analysis is the most effective in discriminating but it takes much time for processing of one image. HSV,HSI am Lab colour spaces gave better results but not in open field.i1i2i3 were recommended for plant detection . This transformation is more useful if the reflection occur due to high solar radiation or some water on leaf. Image pattern classification for the identification of disease causing agents in plants For the identification of plant diseases machine vision system is used. Different images of cotton crops which shows diseased region were used, enhanced, segmented and the feature extraction is performed. The extracted features were then used as inputs to SVM classifier and then testing will be performed to choose the best classification model. Different features such as shape, texture, greylevel, connectivity etc were extracted from segmented region. Co-occurrence matrix was used in order to calculate the image texture. This method is used to measure occurrence of greylevels between a specific position in image and neighboring pixels according to distance and direction. Fractal dimension is a feature which measured dimension of object and box counting algorithm is used to estimate this measurement. Lacunarity was a multiscaled method which measures texture associated with spatial dispersion and gliding box algorithm was used to calculate lacunarity. Different features extracted from 117 images of cotton crops were labeled according to disease they belonged. SVM used Radial Basis Function kernel. There are different problems in classification if it involves more than two classes are used then multiple classes classification was used which uses one-against-one method. Different approaches were used to identify best classification model. Each feature is used as a single input to classifier .the groups of feature were used as inputs to classifier and then all the features except one is used as input. All features were not give the same amount of information so 7 fold cross validation is used. . Fall Armyworm Damaged Maize Plant Identification Using Digital Images An algorithm is developed to identify damaged maize plant by the fall armyworm at simplified lighting conditions using digital color images. Eight different stages of diseased and non-diseased maize plant were taken in three different light intensities. This algorithm involves processing and image analysis. First, the binary images were created by segmentation and then the images were divided into blocks and classified as diseased or non-diseased. The algorithm starts by converting original RGB image into greylevel image then by iterative threshold method it is converted into binary image then by applying 383 median filter its is converted into binary filteres image. These steps are part of first stage which is image processing. For next stage image analysis binary image is subdivided into 12 blocks. Blocks were selected from the subdivided image and then by object identification and counting damaged and non-damaged blocks were classified A review of advanced techniques for detecting plant diseases Diseases in plants are major issue in field of agriculture as they result in major production and economic losses. There is a mechanism called scouting is used for this purpose but this is not only expensive but also time consuming so there is need for a mechanism which is rapid, cost-effective so there are different technologies spectroscopic and imaging based and volatile profiling based plant disease detection methods. In the spectroscopic and imaging techniques, fluorescence spectroscopy, visible IR spectroscopy, fluorescence imaging and hyperspectral imaging involved. In VOC profile-based metabolite analysis released by healthy and diseased plants as a tool for identifying diseases. These methods can accurately detect plant diseases. Automatic Identification of Weed Seeds Image processing techniques were used to obtain seed size, shape, color and texture characteristics. Large database of images were used. Naà ¯ve bayes classifier was used for evaluation. It gives excellent results. Not only the color images were used but also the black and white images of weed seeds were used. By using morphological and textural characteristics as classification feature, it would reduce the complexity and cost. Naà ¯ve bayes classifier and Artificial Neural Network (ANN) were used for weed seed identification but naà ¯ve bayes has an excellent performance as compared to ANN. Identification of citrus disease using colour texture features and discriminant analysis Machine vision and AI techniques are used to achieve intelligent farming including early detection of diseases. Colour co-occurrence method is used to determine whether HIS color features in conjunction with statistical classification algorithms would be used to identify diseased and normal citrus leaves under laboratory conditions. Greasy spot, melanose, normal and scab are four different classes of citrus leaves used. By using image processing techniques, algorithms were designed for feature extraction and classification. Colour cooccurence methodology is used for feature extraction. It used colour and texture to get unique features. SAS discriminant analysis is used to evaluate the potential classification accuracies and this can be achieved by a traditional statistical classifier. Image texture feature dataset appeared as the best data model for citrus leaf classification, it uses reduced hue and saturation feature set. It gets high classification accuracy, less computation time and the elimination of intensity features which is beneficial in highly variable outdoor lighting conditions. Fast and accurate detection and classification of plant diseases First the images were acquired using a digital camera then the image processing techniques were applied to extract features which are useful. Then the classification is performed. The algorithm starts by acquiring RGB images. In the next step colour transformation is applied on RGB images. Images were then segmented using K-means clustering techniques. Green pixels are masked by using Ostus method. Pixels with zeros red, green, blue values and boundary pixels of infected objects were removed. The infected cluster is then converted into HIS from RGB. In the next step SGDM matrix were generated for H and S. For calculation of features GLCM function is used. Neural Network is used as a classification tool. Statistical and neural network classifier for citrus disease detection using machine vision Image data sets of common disease of citrus were collected and then CCM is used for detection of diseases. Different strategies and algorithms were developed for classifications which were based on feature obtained from CCM and then compared the classification algorithm in order to check accuracies. After acquiring images image processing algorithms for feature extraction and classification were developed. Feature extraction used CCM methodology. SAS discriminant analysis was used to evaluate the classification accuracies. Classification tests were applied on different classification algorithms. Statistical classifier using Mahalanobis minimum distance method achieved 98% classification accuracy. Neural network classifier using back propagation algorithm and neural network classifier using Radial Basis Function achieved 95% accuracy rate so the Mahalanobis minimum distance method is the best for classification. Rice disease identification using pattern recognition techniques For the identification of rice disease , software prototype system is described. Image segmentation techniques used to detect infected parts of the plants. These infected parts were further used for classification using Neural Network. For feature extraction first the segmentation is performed and for this entropy based bi-level thresholding method is used. After segmentation boundary detection algorithms were applied this uses 8- connectivity method. In the next step spot detection is applied for the normalization of spot size and interpolation method is used for fractional zooming. After this when all the uniform size spots were obtained, unsupervised learning technique Self Organinzing Map is used. Classification of grapefruit peel diseases using colour texture feature analysis Colour texture feature were used for detection of citrus peel disease.images of normal and five common peel diseases which are canker, copper burn, greasy spot, melanose and wind scan were used. Using colour cooccurence method, 39 image texture features were determined. Before applying CCM, RGB is transformed into HSI. SGDM( Spatial Gray level Dependence Matrix)was used to develop color cooccurence texture analysis. Texture feature were then calculated by SGDM. SAS procedure STEPDISC can find variables which are important for discriminating samples and it will use for texture feature selection. SAS procedure DISCRIM creates a discriminant function which was used to develop classification model. This is also used to test the accuracies of classification models. Plant leaves classification based on morphological features and a fuzzy surface selection technique Artificial vision system is designed to extract special features from plant leaves. Feature selection approach is used to identify significant image features and for the classification test Neural Network is used. In morphological feature extraction, morphological and geometrical features were extracted from plant leaves. These features provide critical information. Feature selection is very important task which is needed to determine the most relevant features for pattern recognition. Neural Network take features as inputs and perform classification. Weed seeds identification by machine vision There is a need of fast and reliable method for the identification and classification of seeds. Seeds of 57 weed species were used. Different features extractes were used as classification parameter . 12 classification parameters were used in which 6 morphological, 4 colour and 2 textural were involved. With the help of these parameters naà ¯ve bayes and Artificial Neural Network were compared for the identification of seed species. ANN performed better than naà ¯ve bayes.

I am Sorry I Hurt You Essay -- Love Letters Dating Email Relationships

Dear Rachel, I had a sleepless night thinking about what happened to us that night. I least expected it, I experienced the worst headache ever, all I could hear was my heart beating faster than it ever has. I cursed my stars that night, as my expectation for the night was so much greater, but it ended in a far different way that made my heart choke with tears of losing something I've always wanted and fought for. We all made mistakes not trying to understand each other, some words did hurt in some way and I guess we got carried away after all those arguments of whether I have an intimate relationship with Marie. I guess this issue has always been the block of our relationship getting worked out. I know it's been hard for you trying to understand the real truth. Perhaps I need to give...

Education and Humanity Promotion Essay

I have been thinking of the ideas which I would choose to make the world a better place to live. One would be to get rid of racism; without racism, the world would certainly be the better place. Donation basic essentials, volunteering time to share concerns and encouraging embrace toward people with disadvantage backgrounds are other ways to build a better world. The last but not least is ending wars. Besides wasting money and human power wars destroyed cultural and moral values in the most drastic ways. Being treated fairly and respectfully no matter of race, age, religion and disabilities is one of the most ideal wish for every one of us. These are always the ideal wishes from of all of us, that we carry deep in our hearts, and have been wishing them to become true since the beginning of time. In fact, those ideas seem to be part of human nature, but wars, on the other hand also seem to be part of human nature. Many solutions were suggested, but it seemed very little of them would be applied in the reality. Perhaps the idea called â€Å"Humanity Education† could get to the root of the problems; and that would be One Thing I Would Strongly Wish to Implement to Make the World a Better Place. Recently, I listened to a speaker at an event sponsored by the National Society of Leadership and Success program. The presenter was Blake Mycoskie, who established the TOMS shoes brand. He shared with the audience about how his current business was started and how it is doing. At first no one could imagine how simple his goals were. Back in 2006, he and his commission group visited Argentina trying to help poor people, especially kids to go to school. The image of kids going to school with bare feet or with worn out shoes immediately changed his views about the real lives out there. Then, to accomplish his mission to help people, he went back to America and started his non-profit business that is TOMS (Tomorrow) now, Shoes for Tomorrow. The goal of TOMS over time is still â€Å"You buy a pair today, we give a pair away tomorrow,† and his speech that night blew the audience’s minds with his way of making a better world. How a much better this world could be if we had mo re TOMS!