Sparco Paints Essay Example for Free

Sparco Paints Essay Sika Paint Industries (Pvt) Limited is the manufacturer of the leading brand â€Å"SPARCO† commonly known by its trademark SPARCO Paints in the domestic and the international market. Sika has steadily and progressively marched into newer heights of popularity and accomplishments in the past more than two decades of its inspection. The company was founded by Malik Muhammad Javaid Iqbal in 1988 as a sole proprietorship concern led its fast growth with dynamism to make it a private limited company in 2004. Ever since, the world of possibilities has never stopped coming around for the company. Dynamic Success From a small business to a dynamic enterprise, Sika Paint Industries has consistently set foot through major cornerstones of its industry, gaining numerous milestones and nationwide recognition to its credit. The company has met the growing demand of its huge industry through steady development of its product range resulting in not only a major market share but a larger base of loyal customers having good standing with them. Over the years, the quality of its brand Sparco Paints has remained unscathed and caters to both the local and international export market. Our Reasons of Growth Amongst its many success factors, the deployment of technology, innovation and robust marketing and branding activities have led to the rapid growth of Sparco Paints. The company concentrates primarily on decorative, industrial, auto, wood finishes and road marking paints for which the company owns the state-of-the-art manufacturing establishment equipped with latest machinery and laboratory facilities. Center of Effective Research The company actively engages up-to-date research to boost the economic value of its paints and strives to improve its product quality with each passing day. The extensive research for innovative product knowledge and methods to engineer the product quality constantly invigorates its existence. The company has engaged in constant researching for best practices for the product development and hence successful in completely retaining its valued customers. Having received the ISO 9001:2008 quality control standard certification for its unmatched quality, the company implements its intricate quality assurance policies at all manufacturing stages including the procurement of raw material, its handling, work in progress, packing, finishing and the timely delivery of end products to the customer. The company firmly believes on providing the paint products of premium quality with intense technical support and color advisory services. The company promises to provide excellent service and achieve its objectives through experienced and well trained professionals of the industry and competitive pricing.

Supervised Image Classification Techniques

Supervised Image Classification Techniques Introduction In this chapter, a review of Web-Based GIS Technology and Satellite image classification techniques. Section 2.2 presents a review of Web-Based GIS Technology.in section 2.3 Satellite images classification techniques are reviewed.In section 2.4 presents the related work .section 2.5 presents uses of web based GIS applications in real world. Section 2.6 presents available commercial web GIS sites. Section 2.7 reviews the types of Geospatial Web Services (OGC) 2.3 Image Classification Image classification is a procedure to automatically categorize all pixels in an Image of a terrain into land cover classes. Normally, multispectral data are used to Perform the classification of the spectral pattern present within the data for each pixel is used as the numerical basis for categorization. This concept is dealt under the Broad subject, namely, Pattern Recognition. Spectral pattern recognition refers to the Family of classification procedures that utilizes this pixel-by-pixel spectral information as the basis for automated land cover classification. Spatial pattern recognition involves the categorization of image pixels on the basis of the spatial relationship with pixels surrounding them. Image classification techniques are grouped into two types, namely supervised and unsupervised[1]. The classification process may also include features, Such as, land surface elevation and the soil type that are not derived from the image. Two categories of classification are contain ed different types of techniques can be seen in fig Fig. 1 Flow Chart showing Image Classification[1] 2.3 Basic steps to apply Supervised Classification A supervised classification algorithm requires a training sample for each class, that is, a collection of data points known to have come from the class of interest. The classification is thus based on how close a point to be classified is to each training sample. We shall not attempt to define the word close other than to say that both Geometric and statistical distance measures are used in practical pattern recognition algorithms. The training samples are representative of the known classes of interest to the analyst. Classification methods that relay on use of training patterns are called supervised classification methods[1]. The three basic steps (Fig. 2) involved in a typical supervised classification procedure are as follows: Fig. 2. Basic steps supervised classification [1] (i) Training stage: The analyst identifies representative training areas and develops numerical descriptions of the spectral signatures of each land cover type of interest in the scene. (ii) The classification stag(Decision Rule)e: Each pixel in the image data set IS categorized into the land cover class it most closely resembles. If the pixel is insufficiently similar to any training data set it is usually labeled Unknown. (iii) The output stage: The results may be used in a number of different ways. Three typical forms of output products are thematic maps, tables and digital data files which become input data for GIS. The output of image classification becomes input for GIS for spatial analysis of the terrain. Fig. 2 depicts the flow of operations to be performed during image classification of remotely sensed data of an area which ultimately leads to create database as an input for GIS. Plate 6 shows the land use/ land cover color coded image, which is an output of image 2.3.1 Decision Rule in image classiffication After the signatures are defined, the pixels of the image are sorted into classes based on the signatures by use of a classification decision rule. The decision rule is a mathematical algorithm that, using data contained in the signature, performs the actual sorting of pixels into distinct class values[2]. There are a number of powerful supervised classifiers based on the statistics, which are commonly, used for various applications. A few of them are a minimum distance to means method, average distance method, parallelepiped method, maximum likelihood method, modified maximum likelihood method, Baysians method, decision tree classification, and discriminant functions. Decision Rule can be classified into two types: 1- Parametric Decision Rule: A parametric decision rule is trained by the parametric signatures. These signatures are defined by the mean vector and covariance matrix for the data file values of the pixels in the signatures. When a parametric decision rule is used, every pixel is assigned to a class since the parametric decision space is continuous[3] 2-Nonparametric Decision Rule A nonparametric decision rule is not based on statistics; therefore, it is independent of the properties of the data. If a pixel is located within the boundary of a nonparametric signature, then this decision rule assigns the pixel to the signatures class. Basically, a nonparametric decision rule determines whether or not the pixel is located inside of nonparametric signature boundary[3] . 2.3.2 supervised algorithm for image classiffication The principles and working algorithms of all these supervised classifiers are derived as follow : Parallelepiped Classification Parallelepiped classification, sometimes also known as box decision rule, or level-slice procedures, are based on the ranges of values within the training data to define regions within a multidimensional data space. The spectral values of unclassified pixels are projected into data space; those that fall within the regions defined by the training data are assigned to the appropriate categories [1]. In this method a parallelepiped-like (i.e., hyper-rectangle) subspace is defined for each class. Using the training data for each class the limits of the parallelepiped subspace can be defined either by the minimum and maximum pixel values in the given class, or by a certain number of standard deviations on either side of the mean of the training data for the given class . The pixels lying inside the parallelepipeds are tagged to this class. Figure depicts this criterion in cases of two-dimensional feature space[4]. Fig. 3. Implementation of the parallelepiped classification method for three classes using two spectral bands, after[4]. Minimum Distance Classification for supervised classification, these groups are formed by values of pixels within the training fields defined by the analyst.Each cluster can be represented by its centroid, often defined as its mean value. As unassigned pixels are considered for assignment to one of the several classes, the multidimensional distance to each cluster centroid is calculated, and the pixel is then assigned to the closest cluster. Thus the classification proceeds by always using the minimum distance from a given pixel to a cluster centroid defined by the training data as the spectral manifestation of an informational class. Minimum distance classifiers are direct in concept and in implementation but are not widely used in remote sensing work. In its simplest form, minimum distance classification is not always accurate; there is no provision for accommodating differences in variability of classes, and some classes may overlap at their edges. It is possible to devise more sophisticated versions of the basi c approach just outlined by using different distance measures and different methods of defining cluster centroids.[1] Fig. 4. Minimum distance classifier[1] The Euclidean distance is the most common distance metric used in low dimensional data sets. It is also known as the L2 norm. The Euclidean distance is the usual manner in which distance is measured in real world. In this sense, Manhattan distance tends to be more robust to noisy data. Euclidean distance = (1) Where x and y are m-dimensional vectors and denoted by x = (x1, x2, x3 xm) and y = (y1, y2, y3 ym) represent the m attribute values of two classes. [5]. While Euclidean metric is useful in low dimensions, it doesnt work well in high dimensions and for categorical variables. Mahalanobis Distance Mahalanobis Distance is similar to Minimum Distance, except that the covariance matrix is used in the equation. Mahalanobis distance is a well-known statistical distance function. Here, a measure of variability can be incorporated into the distance metric directly. Mahalanobis distance is a distance measure between two points in the space defined by two or more correlated variables. That is to say, Mahalanobis distance takes the correlations within a data set between the variable into consideration. If there are two non-correlated variables, the Mahalanobis distance between the points of the variable in a 2D scatter plot is same as Euclidean distance. In mathematical terms, the Mahalanobis distance is equal to the Euclidean distance when the covariance matrix is the unit matrix. This is exactly the case then if the two columns of the standardized data matrix are orthogonal. The Mahalanobis distance depends on the covariance matrix of the attribute and adequately accounts for the corr elations. Here, the covariance matrix is utilized to correct the effects of cross-covariance between two components of random variable[6, 7]. D=(X-Mc)T (COVc)-1(X-Mc) ( 2) where D = Mahalanobis Distance, c = a particular class, X = measurement vector of the candidate pixel Mc = mean vector of the signature of class c, Covc = covariance matrix of the pixels in the signature of class c, Covc-1 = inverse of Covc, T = transposition function[3]. Maximum Likelihood Classification In nature the classes that we classify exhibit natural variation in their spectral patterns. Further variability is added by the effects of haze, topographic shadowing, system noise, and the effects of mixed pixels. As a result, remote sensing images seldom record spectrally pure classes; more typically, they display a range of brightnesss in each band. The classification strategies considered thus far do not consider variation that may be present within spectral categories and do not address problems that arise when frequency distributions of spectral values from separate categories overlap. The maximum likelihood (ML) procedure is the most common supervised method used with remote sensing. It can be described as a statistical approach to pattern recognition where the probability of a pixel belonging to each of a predefined set of classes is calculated; hence the pixel is assigned to the class with the highest probability [4]MLC is based on the Bayesian probability formula. Bayes Classification: The MLC decision rule is based on a normalized (Gaussian) estimate of the probability density function of each class [8]. Hence, under this assumption and using the mean vector along with the covariance matrix, the distribution of a category response pattern can be completely described [9]. Given these parameters, the statistical probability of a given pixel value can be computed for being a member of a particular class. The pixel would be assigned to the class with highest probability value or be labelled unknown if the probability values are all below a threshold set by the user [10]. Let the spectral classes for an image be represented by à Ã¢â‚¬ °i, i = 1, . . . M Where, M is the total number of classes. In order to determine the class to which a pixel vector x belongs; the conditional probabilities of interest should be followed. P( à Ã¢â‚¬ °i|x), i = 1, . . . M The measurement vector x is a column of Digital Numbers (DN) values for the pixel, where its dimension depends on the number of input bands. This vector describes the pixel as a point in multispectral space with co-ordinates defined by the DNs (Figure 2-20). Fig. 4.Feature space and how a feature vector is plotted in the feature space [9] The probability p(à Ã¢â‚¬ °i |x) gives the likelihood that the correct class is à Ã¢â‚¬ °i for a pixel at position x. Classification is performed according to: x à ¢Ã‹â€ Ã‹â€  à Ã¢â‚¬ °i if p à Ã¢â‚¬ °i |x > p à Ã¢â‚¬ °j |x) for all j à ¢Ã¢â‚¬ °Ã‚   i3 i.e., the pixel at x belongs to class à Ã¢â‚¬ °i if p(à Ã¢â‚¬ °i|x) is the largest. This general approach is called Bayes classification which works as an intuitive decision for the Maximum Likelihood Classifier method [11]. From this discussion one may ask how can the available p(x|à Ã¢â‚¬ °i) can be related from the training data set, to the desired p(à Ã¢â‚¬ °i|x) and the answer is again found in Bayes theorem [12]. From this discussion one may ask how can the available p(x|à Ã¢â‚¬ °i) can be related from the training data set, to the desired p(à Ã¢â‚¬ °i|x) and the answer is again found in Bayes theorem [12]. p (à Ã¢â‚¬ °i|x)= p (x|à Ã¢â‚¬ °i) p (à Ã¢â‚¬ °i )/p(x) 4 Where p(à Ã¢â‚¬ °i ) is the probability that class à Ã¢â‚¬ °i occurs in the image and also called a priori or prior probabilities. And p(x) is the probability of finding a pixel from any class at location x. Maximum Likelihood decision rule is based on the probability that a pixel belongs to a particular class. The basic equation assumes that these probabilities are equal for all classes, and that the input bands have normal distributions as in [13] D = ln(ac)-[0.5ln(|Covc|)]-[0.5(X-Mc)T(Cov-1)(X-Mc)] 6 Where: D = weighted distance (likelihood),c = a particular class,X = measurement vector of the candidate pixel, Mc =mean vector of the sample of class c,ac =percent probability that any candidate pixel is a member ofclass c,(Defaults to 1.0, or is entered from a priori knowledge),Covc = covariance matrix of the pixels in the sample of class c,|Covc| = determinant of Covariance (matrix algebra),Covc-1 = inverse of Covariance (matrix algebra) ln = natural logarithm function = transposition function (matrix algebra). 4- Comparison supervised classification techniques: One of the most important keys to classify land use or land cover using suitable techniques the table showed advantages and disadvantages of each techniques [3] : techniques advantage disadvantage Parallelepiped Fast and simple, calculations are made, thus cutting processing Not dependent on normal distributions. Since parallelepipeds have corners, pixels that are actually quite far, spectrally, from the mean of the signature may be classified Minimum Distance Classification Since every pixel is spectrally closer to either one sample mean or another, there are no unclassified pixels. Fastest decision rule to compute, except for parallelepiped Pixels that should be unclassified,, this problem is alleviated by thresholding out the pixels that are farthest from the means of their classes. Does not consider class variability Mahalanobis Distance Takes the variability of classes into account, unlike Minimum Distance or Parallelepiped Tends to overclassify signatures with relatively large values in the covariance matrix. Slower to compute than Parallelepiped or Minimum Distance Maximum Likelihood Most accurate of the classifiers In classification. Takes the variability of classes into account by using the covariance matrix, as does Mahalanobis Distance An extensive equation that takes a long time to compute Maximum Likelihood is parametric, meaning that it relies heavily on anormal distribution of the data in each input band 5- accuracy assessment No classification is complete until its accuracy has been assessed [10]In this context the accuracy means the level of agreement between labels assigned by the classifier and class allocation on the ground collected by the user as test data. To research valid conclusions about maps accuracy from some samples of the map the sample must be selected without bias. Failure to meet these important criteria affects the validity of any further analysis performed using the data because the resulting error matrix may over- or under- estimate the true accuracy. The sampling schemes well determine the distribution of samples across the land scape which will significantly affect accuracy assessment costs [14] When performing accuracy assessment for the whole classified image, the known reference data should be another set of data. Different from the set that is used for training the classifier .If training samples as the reference data are used then the result of the accuracy assessment only indicates how the training samples are classified, but does not indicate how the classifier performs elsewhere in scene [10]. the following are two methods commonly used to do the accuracy assessment derived from table . 1-the Error matrix Table 1.Error matrix[15] Error matrix (table1 ) is square ,with the same number of information classes that will be assessed as the row and column. Numbers in rows are the classification result and numbers in column are ref-erence data (ground truth ).in this square elements along the main diagonal are pixels that are correctly classified. Error matrix is very effective way to represent map accuracy in that individual accuracies of each category are plainly descried along with both the error of commission and error of omission. Error of commission is defined as including an area into acatogary when it does not belong to that category. Error of omission is defined as excluding that area from the catogary in which it truly does belong. Every error is an omission from correct category and commission to a wrong category. With error matrix error of omission and commission can be shown clearly and also several accuracy indexes such as overall accuracy, users accuracy and producers accuracy can be assessed .the fol lowing is detailed description about the three accuracy indexes and their calculation method overall accuracy Overall accuracy is the portion of all reference pixels, which are classified correctly (in the scene) that assignment of the classifications and of the reference classification agree).it is computed by dividing the total number of correctly classified pixels (the sum of the elements along the main diagonal) by the total number of reference pixels. According to the error matrix above the overall accuracy can be calculated as the following: OA == Overall accuracy is Avery coarse measurement. It gives no information about what classes are classified with good accuracy. producers accuracy producer accuracy estimates the probability that a pixel, which is of class I in the reference classification is correctly classified . It is estimate with the reference pixels of class I divided by the pixels where classification and reference classification agree in class I . Given the error matrix above, the producers accuracy can be calculated using the following equation: PA (class I) = Producer accuracy tells how well the classification agrees with reference classification 2.3 users accuracy Users accuracy is estimated by dividing the number of pixels of the classification results for class I with number of pixels that agree with the reference data in class I.it can be calculated as : UA(class I)= Users accuracy predicts the probability that a pixel classified as class I is actually belonging to class I. 2-kappa statistics The kappa analysis is discrete multivariate techniques used in accuracy assessment for statistically determining if one error matrix is significantly different than another (bishop).the result of performing of kappa analysis is KHAT statistics (actually ,an estimate of kappa),which is an- other measure of agreement or accuracy this measure of agreement is based on the difference between the actual agreement in the error matrix(i.e the agreement between the remotely sensed classification and the reference data as indicated by major diagonal) and the chance agreement, which is indicated by the row and column totals(i.e marginal)[16] A detailed comparison between two data sets, one with near-infrared and three visible and the other with the full 8-bands, was made to emphasize the important role of the new bands for improving the separability measurement and the final classification results [17]

The Pathophysiology of Hepatitis B Essay -- Health, Diseases

Introduction Hepatitis B, an infectious disease caused by the Hepatitis B virus (HBV, a DNA virus), was formerly called serum hepatitis, inoculation hepatitis and post-transfusion hepatitis. Infection with HBV may result in acute, fulminant or chronic hepatitis, sometimes even resulting in a chronic asymptomatic carrier state, apart from hepatocellular carcinoma and liver cirrhosis (Davis 179). The disease is transmitted when an individual comes in contact with infected blood or objects. It may also be transferred from an infected mother to her infant either during or after birth (Zuckerman et al. 211). Transmission may also occur by accidental inoculation from infected needles and hospital equipment, intravenous drug abuse, body piercing, tattooing, and mouth-mouth kissing (Zuckerman et al. 210). The risk of Hepatitis B is particularly high in individuals with multiple sex partners, and in homosexuals. The HBV virus occurs in morphologically different forms in the serum of infected individuals. HBV infection has an incubation period of about 75 days. Systemic symptoms of the disease include fatigue, fever, dyspepsia, arthralgia, malaise, and rash, while local symptoms include hepatomegaly, jaundice, dark urine, and pale stools (Davis 179; Zuckerman et al. 210). Anatomical/physiological/biochemical changes that lead to the disease Hepatitis B results from cellular injury to the liver, subsequently affecting its metabolic functions. However, the HBV is not cytopathic by itself. The pathogenesis of Hepatitis B occurs as a result of the interactions between the host’s immune system and the virus. The host immune system targets HBV in liver cells (hepatocytes), inadvertently causing damage to the liver. HBV derived proteins (... ...BeAg), bilirubin level, and platelet count (Pyrsopoulos and Reddy). The disease prognosis can be done by calculating the prognostic index based on the status of these six variables. Conclusion HBV infection is complex and affects a large population worldwide. The discovery of the Australia antigen (HBsAg) in 1965 by Blumberg et al. (1965) set the stage for rapid progress in understanding and counteracting the disease (qtd in Zuckerman et al. 210). Liver function tests help in estimating the extent of damage caused to the liver during HBV infection. Diagnosis is done by detecting viral specific antigens in the serum. Both active and passive immunization options exist for disease prophylaxis. However, it is always best to practice caution over the parenteral, sexual and other routes of transmission of the disease for effective disease prevention and prophylaxis.

Role of UNICEF and the International Labour Organization in the Working

Introduction This paper deals with the role of transnational actors like UNICEF and the International Labour Organization (ILO) in the working children’s movement. It examines the role of development communication in empowering working children, and its impact on the movement. The paper begins with a brief introduction to development, linking it with issues concerning working children. It then goes into a brief overview of UNICEF and the ILO, and talks about the role of each in the international working children’s movement. It evaluates one program executed by each of the organizations in dealing with a development situation, in terms of intent and purpose, policies and procedures, obstacles faced, and the outcome of each effort. I then present my critique of strategies followed by both actors and my conclusion from this comparative analysis regarding the effectiveness of each actor. As this is a topic that has been of concern to me for a while, this analysis might appear to be a bit subjective to the reader, but I have tried to bear in mind objectivity, and did extensive research on both organizations to make sure that I was looking at a wide enough body of work. The research consists mainly of information I found on both websites as well as a few books and journal articles. It also comes from the first hand experience of a non-profit organization that works with issues concerning working children, who have worked closely with the ILO and the United Nations. A transnational actor can be defined as a person, business or organization that operates across borders and has some impact on world societies and environments. It became apparent to me as I was doing my research that transnational actors often have admirable... ...tion to make sure the projects are meeting their goals. There needs to be constant monitoring of each new venture undertaken. Detailed evaluations of current projects and research for new strategies in place of older unsuccessful ones are essential, to make plans better cater to the needs of the children. Lastly I think there needs to be increased government and non-profit participation, and involvement of the children, to bring about the best kind of development. From a development communication standpoint, I think the ILO manages to utilize the most optimum model to bring about progress and change the status quo, wehreas this is largely lacking in UNICEF’s approach. BIBLIOGRAPHY Moemeka, Andrew. Development Communication in Action. University Press of America, 2000. www.unic.org.in/devsup13may.htm www.unicef.org www.ilo.org

Goldelocks Planet

Could ‘Goldilocks' planet be just right for life? [->0][->1] AP Photo/Zina Deretsky, National Science FoundationAn artist rendering by Lynette Cook, National Science Foundation, shows the new planet on the right.  ·Top of Form 1 Buzz up! 865 votes Bottom of Form 1  ·HYPERLINK â€Å"http://www. facebook. com/sharer. php? u=http://news. yahoo. com/s/ap/20100929/ap_on_sc/us_sci_new_earths&t=Could+%27Goldilocks%27+planet+be+just+right+for+life%3F+-+Yahoo%21+News†Share  ·HYPERLINK â€Å"http://twitter. com/home? status=http://news. yahoo. com/s/ap/20100929/ap_on_sc/us_sci_new_earths†retweet  ·HYPERLINK â€Å"http://mtf. ews. yahoo. com/mailto/? prop=news&locale=us&url=http://news. yahoo. com/s/ap/20100929/ap_on_sc/us_sci_new_earths&title=Could+%27Goldilocks%27+planet+be+just+right+for+life%3F+-+Yahoo%21+News&h1=ap/20100929/ap_on_sc/us_sci_new_earths&h2=T&h3=624†³Email  ·HYPERLINK â€Å"http://news. yahoo. com/s/ap/20100929/ap_on_sc/us_sci_new_earths/pr int†Print  ·HYPERLINK â€Å"/nphotos/undated-handout-artist-rendering-provided-Lynette-Cook-National-Science-Foundation/photo//100929/480/urn_publicid_ap_org7e4574a9e56348109f878f3f99936813//s:/ap/20100929/ap_on_sc/us_sci_new_earths†?FPRIVATE â€Å"TYPE=PICT;ALT=This undated handout artist rendering provided by Lynette Cook, National Science Foundation, shows a new planet, right. Astronomers have found a plane†AP – This undated handout artist rendering provided by Lynette Cook, National Science Foundation, shows a †¦  ·HYPERLINK â€Å"/nphotos/Goldilocks-planet/ss/events/sc/093010goldilocplanet†? FPRIVATE â€Å"TYPE=PICT;ALT='Goldilocks' planet†HYPERLINK â€Å"/nphotos/Goldilocks-planet/ss/events/sc/093010goldilocplanet†Slideshow:'Goldilocks' planet  ·HYPERLINK â€Å"http://us. rd. yahoo. om/dailynews/external/hearst_orlando_wesh/av_hearst_orlan_wesh/884e0bfd9b244f9bb69f244f471dd239/37795187;_ylt=AkmdpzkzfGvlRd_Ow96TXr5xieA A;_ylu=X3oDMTFiMThoYm9oBHBvcwM0BHNlYwN5bl9yXzNzbG90X3ZpZGVvBHNsawN2aWQtZXYtdGh1bWI-/*http://news. yahoo. com/video/politics-15749652/22211228†? FP RIVATE â€Å"TYPE=PICT;ALT=Titusville Teen Campaigns To Save NASA†Play Video HYPERLINK â€Å"http://us. rd. yahoo. com/dailynews/external/hearst_orlando_wesh/av_hearst_orlan_wesh/884e0bfd9b244f9bb69f244f471dd239/37795187;_ylt=AhwlUOUqG. XJT7dMF4fIKZRxieAA;_ylu=X3oDMTFhaWFjbWFmBHBvcwM1BHNlYwN5bl9yXzNzbG90X3ZpZGVvBHNsawN2aWQtZXYtbGluaw–/*http://news. ahoo. com/video/politics-15749652/22211228†³Space Video:Titusville Teen Campaigns To Save NASA HYPERLINK â€Å"/video/local/orlando;_ylt=AvXELmZkdK7w8FyZhXrJ2stxieAA;_ylu=X3oDMTFiMTJlb3JuBHBvcwM2BHNlYwN5bl9yXzNzbG90X3ZpZGVvBHNsawN2aWQtZXYtcHJvdmk-â€Å"WESH Orlando  ·HYPERLINK â€Å"http://us. rd. yahoo. com/dailynews/external/reutersav/av_reuters_all/398f239b7ca1ff117e11bfc2a7471a54/37792448;_ylt=AglH. ImWxulddgvz7mWJZWJxieAA;_ylu=X3oDMTFiOWVlczFoBHBvcwM3BHNlYwN5 bl9yXzNzbG90X3ZpZGVvBHNsawN2aWQtZXYtdGh1bWI-/*http://news. yahoo. com/video/science-15749654/22207740†?F? FPRIVATE â€Å"TYPE=PICT;ALT=New planet could support life†Play Video HYPERLINK â€Å"http://us. rd. yahoo. com/dailynews/external/reutersav/av_reuters_all/398f239b7ca1ff117e11bfc2a7471a54/37792448;_ylt=Ah1mE3gU9F_SRM8nCpSKJElxieAA;_ylu=X3oDMTFhcDNlYmRyBHBvcwM4BHNlYwN5bl9yXzNzbG90X3ZpZGVvBHNsawN2aWQtZXYtbGluaw–/*http://news. yahoo. com/video/science-15749654/22207740†³Space Video:New planet could support lifeMore photos  »HYPERLINK â€Å"http://us. rd. yahoo. com/dailynews/ap/brand/SIG=11f589428/**http%3A%2F%2Fwww. ap. org%2Ftermsandconditions†?FPRIVATE â€Å"TYPE=PICT;ALT=AP†[->2] Reuters By SETH BORENSTEIN, AP Science Writer Seth Borenstein, Ap Science Writer – Wed Sep 29, 7:19 pm ET WASHINGTON – Astronomers say they have for the first time spotted a planet beyond our own in what is sometimes called the Goldilocks zone fo r life: Not too hot, not too cold. Juuuust right. Not too far from its star, not too close. So it could contain liquid water. The planet itself is neither too big nor too small for the proper surface, gravity and atmosphere. It's just right. Just like Earth. This really is the first Goldilocks planet,† said co-discoverer R. Paul Butler of the Carnegie Institution of Washington. [Related: Seven best places to sleep under the stars[->3]] The new planet sits smack in the middle of what astronomers refer to as the habitable zone, unlike any of the nearly 500 other planets astronomers have found outside our solar system. And it is in our galactic neighborhood, suggesting that plenty of Earth-like planets circle other stars. Finding a planet that could potentially support life is a major step toward answering the timeless question: Are we alone?Scientists have jumped the gun before on proclaiming that planets outside our solar system were habitable only to have them turn out to be n ot quite so conducive to life. But this one is so clearly in the right zone that five outside astronomers told The Associated Press it seems to be the real thing. â€Å"This is the first one I'm truly excited about,† said Penn State University's Jim Kasting. He said this planet is a â€Å"pretty prime candidate† for harboring life. Life on other planets doesn't mean E. T. Even a simple single-cell bacteria or the equivalent of shower mold would shake perceptions about the uniqueness of life on Earth.But there are still many unanswered questions about this strange planet. It is about three times the mass of Earth, slightly larger in width and much closer to its star — 14 million miles away versus 93 million. It's so close to its version of the sun that it orbits every 37 days. And it doesn't rotate much, so one side is almost always bright, the other dark. Temperatures can be as hot as 160 degrees or as frigid as 25 degrees below zero, but in between — in the land of constant sunrise — it would be â€Å"shirt-sleeve weather,† said co-discoverer Steven Vogt of the University of California at Santa Cruz.It's unknown whether water actually exists on the planet, and what kind of atmosphere it has. But because conditions are ideal for liquid water, and because there always seems to be life on Earth where there is water, Vogt believes â€Å"that chances for life on this planet are 100 percent. † The astronomers' findings are being published in Astrophysical Journal and were announced by the National Science Foundation on Wednesday. The planet circles a star called Gliese 581.It's about 120 trillion miles away, so it would take several generations for a spaceship to get there. It may seem like a long distance, but in the scheme of the vast universe, this planet is â€Å"like right in our face, right next door to us,† Vogt said in an interview. That close proximity and the way it was found so early in astronomers' search for habitable planets hints to scientists that planets like Earth are probably not that rare. Vogt and Butler ran some calculations, with giant

Justice Systems in Egypt and in the United States

Justice System in Egypt and the United States Brian L. Goodman Daymar College Outline Abstract Introduction III. The Legal Systems A. The United States Legal System B. The Egypt Legal System IV. Types of Crimes V. Components of Justice System in the United States VI. Components of Justice System in Egypt VII. Crimes A. United States B. Egypt VIII. Notes IX. References Abstract Justice System in Egypt and the United States are similar in many ways. Egypt Justice System bases its criminal code on British, Napoleon, and Italian models. There are three main categories of crime in Egypt law; they are minor offenses, misdemeanors and felonies. Egypt law requires that a detained person be brought before a magistrate with 48 hours or released. The United States Justice System enforces the law and defends the interests of the United States according to the law to ensure public safety against threats foreign and domestic, and to provide federal leadership in preventing and controlling crime. The United States Justice System uses five components such as; local law enforcements, court trails, court cases, trial with grand jury and decision and punishment. Justice System in Egypt and the United States The United States is a federal system. The national government has enumerated powers, and the fifty states retain substantial authority. Both the national government and each state government is divided into executive, legislative and judicial branches. Written constitutions, both federal and state, form a system of separated powers, checks and balances among the branches. Egypt bases its criminal codes and courts operations primarily on British, Italian, and Napoleonic models. Criminal court procedures had been substantially modified by heritage of Islamic legal and social patterns and the legacy of numerous kinds of courts that formerly existed. In ancient Egypt, the rulers, called pharaohs, created the laws of the land and enforced them. The pharaohs had strict laws and at times, some very harsh punishments to maintain control over the people. The Egyptians had harsh punishments for breaking the law. The laws were based on common sense view of right and wrong. It depended on which crime the criminal did to figure out which punishment they would receive. Not only would it disgrace them, but it would disgrace their whole family. Now, Egypt uses criminal codes. The criminal codes listed three main categories of crime: minor offenses, misdemeanors, and felonies. Lower courts handled the majority of these cases. Capitol crimes that carried a possible death sentence includes murder, manslaughter, arson or the uses of explosives that caused death, rape, treason, and endangerment of state security. In Egypt few convictions for capital crimes, however, resulted in execution. Egypt laws required that a detained person be brought before a magistrate and formally charged within 48 hours or released. The accused are entitled to post bail and had the right to defended by legal counsel. Searches can not be conducted without a warrant. The justice system in the United States is one of the most unique in the world. It consists of two separate levels of courts, state and federal.. Most of the laws that govern our day-to-day living are state laws; violations of federal law include offenses involving federal government employees, kidnapping or evading arrest, and fraud such as income tax or postal fraud. There are two types of trials: criminal and civil. In a criminal trial, the government is prosecuting an individual for an offense that threatens the security of individual citizens. Usually, criminal trials involve actions taken as a result of malicious intent, Civil trials are disputes between two parties. In both instances, the person that charges are eing brought against is the defendant; in criminal trials, the government is the prosecution – in civil trials. References â€Å"Introduction to the Justice System† â€Å"An Overview of the Court System in the United Statesâ€Å" www. library. thinkquest. org The United States Department of Justice, www. justice. gov History of Criminal Justice System, www. lawandliberty. org Andrews, Mark  "Law and the Legal System in Ancient Egypt;† www. touregypt. net/featurestories/law. htm â€Å"Islam Mythsâ€Å", www. muslim-canada. org/Islam_myths. htm Justice Systems in Egypt and the United States

Assessing Conditions For Children With Need

Every nine out of ten kids living with disability have dropped school or they have not been in the school while approximately eighty percentages of all children with disability are in developed countries. Majority of these kids are not being included in school programs this is because of their statues such as ideological, physical or having communication barriers. Sometime kids have physical or intellectual impairment which may contribute to falling of kids to participate in social life and community life. For instance a kid at ages of 13 who lost a limb accidently, have lost legs due to polio or may have been born without limbs due to factors such as cerebral Passy they are regarded as disables in such scenario they cannot climb stairs  (Francis, 2015). Normally parent hold back kinds in their house or neighborhood and they cannot interact with other kids. These factors contribute to omitting these kids to join life in the community and hence cannot join family gatherings due to their statues.   Understanding that every kid is an individual, most people thick that best solution is do without or remove the impairments to enhance kid to walk again. Medical experts are often being consorted out. For instance doctors would operate on their bodies or they commend a special case of therapy to make their legs to function well again. They many things should be done to eradicate these perception and consequences even its impossible to heel threw impairments  (Tylor, 2001 ). School board should first asses’ kids who needs special needs education because most of the student gets good grade hence they needs special education and services while other don’t have a place to call home. Government should work hand in hand with special schools administration to offer these services. Most of the children at school witness challenges such as ranging from physical differences, not able to communicate and perception with behavior such as making of new friends these difficulties may be contributed by factors such as emotional problems, physical disorder, behavior problems and psychiatric disorder. Kinds with such special needs require or they must be entitled to special schools to receive such services and accommodation through government sponsor schools. It’s a basic right for every child to receive a free and appropriate education in a conducive environment  (Cole, 2008 ). In past years children with disability have been put in consideration that is hard but through the experience and research shows that most of them can be placed to most able families who may want them to either look after or educate them. For a guardian whom wants to adopt the kid one should focus on the key issues such as emotional, physical capability and availability of resources to be successful guardian  (Meltzer, 2010 ). This include serious health key condition of the kid heart defects, chronic conditions, asthma and diabetes   or other associated problem to the kid. Children with such health issues may require special and numerous tests, expensive materials, and special accommodation. Family responsible to adopting this kid should be prepared to face these crises with certainty. With kids who have behavior words they do not resound to previous adherences. For those diagnosed with effects such as ADHD, fetal  Ã‚   alcohol spectrum dis order most require special initials which are mandated to be specific abilities and disabilities. If the plans are not inclusive issues to contribute to disagreements and thus prompting to risk of children school problems. Parent are advised to be more flexible while ate the same time be more creative to adopt these kids. In development stages is the one the most overwhelming to the family in dealing in changing of the visions and the future by providing education and be caring. Having a defect such as autism or mental retardation often contribute for kids to be withheld in the majority, parent should demands and then make sure kids receive the services such as therapy, schooling which they require and they deserve. Most kids with learning deformity like central auditory processing disorder are noted to be struggling with assignments regardless of their ability hence they requires special learning facilities in order to meet their possible   and improve self-esteem issues and other behavioral challenges. Guardians of such kids should be insistent in both working averse learners and school should provide them with these kinds of needs. Children with anxiety can sneak from their guardians and living or staying with such kind of kids with mental issues can facilitate members to panic or have crises or defiance’s. Guardians have to find a well trained professional to help and make decisions on the best therapy, medications or if need of hospitalizations. The results of luck of knowledge can result to wrong guesses which can be significant. Even though parents do not take time to adopt any assistance issues they are not aware of hardship is on raising a kid with disability. Investigation of the student strength is key issues such as looking the grades of previous exams and records. Fill out the strength data shit on the progress of the kid. Discuss with the special needs student what his or her likes are. Assess what they are most interested in such as what they feel they are good at and what are the objectives of their education. Associate the kids with positive role models who will mentor them on how other person with disability got successful in life. These will motivate the kids in such ways that if such person made it to the top, even I can make it to the top. Illustrators are advised to come up with subjects or units with titles such as â€Å"people living disability who made it† Once the student strength are identified it is best to design a way to utilize those abilities, if for instance the kid is good in drawing but has an issue on reading then if a student is good in singing he or she should be propelled on how to use different music equipment’s. On the hand if a kid shows capacity of knitting but does not know the place value should encourage kids to knit at least ten to fifteen roes per day. There numerous ways which can be used on combing strength of kids and illustrators work in order to achieve learning objectives. The layout of the classroom may help or hinders learning of the kid but most illustrators can change their class room depending on the efficiency of reaching the students movements. Kids with special needs to be seated next to the tutor or close to chalk board if they have eyesight problems. Tutors are advice to arrange classroom in manner that kids with these challenges can be able to move across easily especially if some have visual problems or they have issues on mobility. Desk and tables should be arranged in groups so they can ease work force of the kids to work together and help each other. Display charts and posters should pin on the same level with eyes of the kid but rather not to mush high. Addition of texture and other and other real objects used in touching will help kids with visual defects. Lesson planning makes teaching to be more effective and efficient, to plan a lesson as tutor one should focuses on setting a class in context and timely manner tis will enhance to be able to adjust lessons and distribute work to the kids depending on their abilities, interest and motivations. Associating kids on their daily work will enable them to understand subject easily in such scenario when learning about the measurements kids can find out other heights. It is advisable to use real objects and visual aids. Group work should be encouraged since it facilitates participation of learners and enhance responses and other feelings. While handling special needs children one have to give them a lesson that relates to their deformities otherwise any lesson should all the activities. In an example a student who is perfect in ADHD who enjoys adrenaline which thrives a stimulation compound such kids should be exposed in jobs such a fire fighting jobs. Kids with learning issues who can demons trate that they are good in art they might as well join as graphic designer or artist. Tutors needs to bear in minds needs planning their lessons one of the instances is to have an individual work plans for every person, it should well know that individuals plans which can   be complemented to ensure that learning outcomes   have been achieved. The blueprint should be explained and consultation with both guardian and children’s. Guardians must be given a copy of descriptive plan. Use of assistive media and technologies Doing research on applications on the store which can be used to help the kid to cope with challenges, such as universal learning tools where a student in scenario of not good in writing but very good in speech to text programs thus help the kid to speak to the machine and as well the computer will generate words in writing thus helping the kid to be able to learn. Kids with autism who often love iPod but has difficulty in encoding information can be taught on how use other argumentative communication applications, kids will normally click the buttons and then they can synthesize the sounds. Tutors are advice to arrange classroom in manner that kids with these challenges can be able to move across easily especially if some have visual problems or they have issues on mobility. Desk and tables should be arranged in groups so they can ease work force of the kids to work together and help each other. Majority of the student with special needs have no idea of themselves as working employees in the future or they negatively look down themselves. Encouragement advices and lecture should be done helping them and make connections with their strength and the requirements of the specific jobs in their careers. In an example a student who is perfect in ADHD who enjoys adrenaline which thrives a stimulation compound such kids should be exposed in jobs such a fire fighting jobs. Kids with learning issues who can demonstrate that they are good in art they might as well join as graphic designer or artist. Creation of good learning environment This involves well design of classrooms which distinguish them depending on their strength by proving kids with such as ADHD who can learn by rolling with ball hence jiggle around while still completing homework. In case a student diagnosed with Down syndrome who basically enjoys mimic others an instructor should be guided to build a puppet theater which can work to help the kid and have a positive feedback. A lot has been pointed concerning parents living with specials children acknowledging that disability or illness it is just the beginning of the journey at time s one feels overwhelmed by the challenges of the associates and out of the strength of the emotion. One may feel alone or isolated even though they are many supporters while some relatives may invaluable in terms of source of helping information. Most of the services are provided by the public agencies that can assist the entire family. Campaigns and talks should be done to the parents who have special children to communicate to each other on the issues and seek assistance where needed. Forlin, C. (2010).  Teacher education for inclusion: Changing paradigms and innovative approaches. London: Routledge. Andrew Pollard, ‎. C. (2005). Reflective Teaching. Cole, R. W. (2008 ). Educating Everybody's Children: fo. Diverse Teaching Strategies. Davis, B. G. (2009). Tools for Teaching. Francis, T. &. (11 Feb 2015). Cross-Curricular Teaching in the Primary School. Gay, G. (2010 ). Culturally Responsive Teaching: . Theory, Research, and Practice. Global, F. K. (n.d.). How to Teach Now: . Five Keys to Personalized Learning in the Global. Hargreaves, A. (2003). Teaching in the Knowledge Society: Education in the Age of Insecurity. Jim Walters, ‎. F. (2007). Managing Classroom Behavior and Discipline. ‎Shelly Frei. Learning, U. D. (2012). Teaching Every Student in the Digital Age. Universal Design for Learning. Meltzer, L. (2010 ). Promoting Executive Function in the Classroom. Morrison, G. S. (2017). Early Childhood Education Today. Peter F. Oliva, ‎. R. (2012 ). Developing the Curriculum. Roger Pierangelo, ‎. G. ( 2008 ). Teaching Students With Learning Disabilities. Roger Pierangelo, ‎. G. (2008 ). Teaching Students With Learning Disabilities. Thomas J. Sergiovanni, ‎. L. (2014 ). The Principalship: A Reflective Practice Perspective. Tylor, A. (2001 ). Current Index to Journals in Education. 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