Horizon Human Services Essay Example | Topics and Well Written Essays - 1000 words - 1

Horizon Human Services - Essay Example Funding of Horizon Human Services derives mainly from governmental organizations such as the â€Å"ADHS, DES-CSA† to provide the services for victims of problems like â€Å"domestic violence† (Domestic Violence Services, 2013). So far it relates to funds for services in the areas of housing, they receive assistance from â€Å"US Department of Housing, Urban Development and the Arizona Department of Housing† (Community Housing, 2013). In addition, they also accept donations from the public as well as corporate entities.   Any person intending to avail the services of Horizon Human Services can call their office for an appointment with a screening specialist and once screening is completed, he or she will be sent to the intake specialist who will assess the individual and provide initial counseling to â€Å"help address the reason† for which services have been sought (Getting Started, 2013). People who seek services will have to produce their ID document, proof of income, social security, and any documents relating the problem they wish to address with the help of the organization. Major services, as per information on the â€Å"services† section of their site, include:   Adult Residential Services: It is a program for mentally ill or substance abusing adults, by providing â€Å"clean and tidy† therapeutic â€Å"environment,† as envisaged in quality social work practices, which is free of substances (Malley & Fernandez, 2010, p.561).   Community-Based Services: This is also a program targeted to mentally ill, within the community to help them cope with the problem. The services include counseling and monitoring of medication apart from a variety of other services that the patient requires from time to time.

Guide Wavelength Measurements Essay Example for Free

Guide Wavelength Measurements Essay The relationship between the wavelength in free space and the guide wavelength. Furthermore, this experiment will be a way in which to gain experience in using different types of laboratory communications equipment. Introduction What is wavelength? Wavelength of a sinusoidal wave is the distance between identical points in the adjacent cycles of a waveform signal. Wavelength is commonly designated by the Greek letter lambda (? )Wavelength is inversely correlated to frequency (figure 1. 1), therefore the higher the frequency of the signal, the shorter the wavelength. vp Is the phase velocity f is the frequency vp Is the phase velocity f is the frequency ?=vpf Figure 1. 1 What is a wave guide? Figure 1. 2 A waveguide is a special form of transmission line consisting of a rectangular (figure 1. 2) or cylindrical metal tube or pipe, through which electromagnetic waves are propagated in microwave and RF communications. It s commonly used in microwave communications, broadcasting, and radar installations. A waveguide must have a certain minimum diameter relative to the wavelength of the signal and therefore are practical only for signals of extremely high frequency. Consequently below such frequencies, waveguides are useless as electrical transmission lines. â€Å"An electromagnetic field can propagate along a waveguide in various ways. Two common modes are known as transverse-magnetic (TM) and transverse-electric (TE). In TM mode, the magnetic lines of flux are perpendicular to the axis of the waveguide. In TE mode, the electric lines of flux are perpendicular to the axis of the waveguide. Either mode can provide low loss and high efficiency as long as the interior of the waveguide is kept clean and dry. † Some disadvantages are: * The high cost, since the material used is special alloy (copper and silver). * It is not possible to pass DC currents along with your RF signal. * The volume and mass particularly are at lower frequencies. Although there is quite a few disadvantages the fact that you can transmit extremely high peak powers and very low loss outweighs it. Furthermore the Silver plating used on the inside walls of the waveguide decreases the resistance loss making the copper and aluminium waveguides even more efficient. Experimental notes The experiment needs to be conducted to obtain the value of the guide wavelength and thereafter calculate the wave dimension and observe whether it matches the initial result that was measured. The initial result measured was the value. Cut-off wavelength for the wave guide mode being propagate ? o = Wavelength in free space g = Guide wavelength, known as delta g The equation to measure ? o is already present as it is given by free-space. Although the cut-off wavelength can be calculated by rearranging the formula in figure 1. 1, the experiment will be used to further confirm this mathematical formula. What we will acquire is a range of guide wavelengths throughout the experiment in order to find the Cut-off wavelength. Where is the cut-off wavelength for the waveguide mode being propagated? The dominant mode is being propagated in the rectangular waveguide (figure 1. 2) which means where (a) is the internal broad dimension of the rectangular waveguide. Block diagram Microwave signal source Isolator Preset attenuator Wave meter Short circuit Calibrated attenuator Tuned SWR amplifier + meter Standing wave detector Microwave signal source Isolator Preset attenuator Wave meter Short circuit Calibrated attenuator Tuned SWR amplifier + meter Standing wave detector Microwave signal source This device is the signal generator where you get 8 to 12 GHz. It is extremely expensive equipment and costs in the region of ? 20,000. This is due to the fact that we are dealing with high frequency signals and not with normal radio waves. Isolator By terminating one port, a circulator becomes an isolator, which contains the property for energy to flow in one direction only. It samples some of the forward wave power and couples it to a calibrated cavity wave meter for measuring the oscillator frequency. Preset attenuator â€Å"Attenuators are essential building blocks when developing test stations for applications† Attenuators are devices used to adjust signal levels which helps to stop the reflected power from reaching the oscillator, control impedance mismatch and to isolate circuit stages. Wave meter Any device for measuring the free-space wavelengths (or frequencies) of microwaves; usually made of a cavity resonator whose dimensions can be varied until resonance with the microwaves is achieved. The determination is often made indirectly, by measuring the frequency of the wave. Calibrated attenuator The calibrator changes the value if it gets too high. Attenuators are manufactured with high-accuracy calibration, and for utmost precision. They available in standard waveguide were each attenuator is calibrated at the frequency specified at the time of order. Standing wave detector Standing wave detector detects radio frequency signals along a transmission line or in a waveguide and changes it into a DC voltage for the reason that the waveguide cannot transmit DC currents along with the RF signal. Tuned SWR amplifier + meter The  standing wave ratio  meter  measures the  SWR (standing-wave-ratio)  which is the ratio of the amplitude of a partial standing wave at a maximum to the amplitude at a minimum in a transmission line. This is an item of  radio  equipment used to check the quality of the match between the  antenna  and the  transmission line. Procedure 1. Set up the microwave bench, as indicated. 2. Read the basic instructions for the microwave bench and then obtain oscillations at 8. 5 GHz from the microwave signal source. 3. If it is possible, maximize the deflection on the SWR-meter by using the method outlined in the basic instructions. 4. Measure the frequency, f, using the wave meter. Calculate the free space wavelength, ? o , by using ? o = c/f where c = 2. 997? 1010 cm s-1. 5. Move the standing wave detector (SWD) probe along the slotted line and watch the SWR-meter.

Literature Review On Remote Sensing Environmental Sciences Essay

Literature Review On Remote Sensing Environmental Sciences Essay Remote sensing is the science or art of acquiring information about the Earths surface without actually being in contact with it. This is done by sensing and recording reflected or emitted energy and processing, analyzing, and applying that information. In much of remote sensing, the process involves an interaction between incident radiation and the targets of interest. (Dr. S. M. Rahman, 2001). Remote sensing makes it possible to collect data on dangerous or inaccessible areas. Remote sensing applications include monitoring deforestation  in areas such as the  Amazon Basin,  glacial  features in Arctic and Antarctic regions, and  depth sounding  of coastal and ocean depths. Military collection during the  Cold War  made use of stand-off collection of data about dangerous border areas. Remote sensing also replaces costly and slow data collection on the ground, ensuring in the process that areas or objects are not disturbed. Remote sensing exceedingly influences everyday life, ranging from  weather forecasts  to reports on  climate change  or  natural disasters. As an example, 80% of the German students use the services of  Google Earth. (Wikipedia, 2012) In recent time, with mans increasing interventions with the environment, the situation is aggravated. The quality of available data is extremely uneven. Land use planning based on unreliable data can lead to costly and gross errors. Soil erosion research is a capital-intensive and time-consuming exercise. Global extrapolation on the basis of few data collected by diverse and non-standardized methods can lead to gross errors and it can also lead to costly mistakes and misjudgements on critical policy issues. So, remote sensing provides convenient solution for this problem. Moreover, voluminous data gathered with the help of remote sensing techniques are batter handled and utilized with the help of Geographical Information System (GIS). (M. H. Mohamed Rinos, 2000) There are two different approaches that can be adopted for determining the characteristics of landslide from remote sensing data. The first approach determines more qualitative characteristics such as number, distribution, type and character of debris flow. This can be achieved with either satellite or air borne imagery collected in the visible and infrared regions of the spectrum. The next approach complements the qualitative characterization, estimating dimensions (e.g. length, width, thickness and local slope, motion, and debris distribution) along and across the mass movement. (V. Singhroy, 2004) Literature Review on Geographical Information System (GIS) Geographical Information System (GIS) is used to arrange the computer hardware, software, and geographic data. It helps the people interact, analyze, identify relationship and find the solutions to the problems. The system is designed to capture, store, update, manipulate, analyze, and display studied data and used to perform analyses (ESRI, 2005). Since 1970s, GIS has been used to analyze various environments. But the extensive application of GIS to hydrologic and hydraulic modeling and flood mapping and management begin from early 1990s. (Maidment, 2000). GIS has the ability to represent elevation in terms of topographic surfaces is central to geomorphological analyses and thus to the importance of representing topography using Digital Elevation Model (DEM). It is through the distribution of soil that the land surface changes over the long term and so the ability to link sediment transfer with DEM changes. (Schmidt, 2000) ArcView GIS desktop software provided the tools of map features that will affect a propertys value such as crime rates, environmental hazards, and the condition of surrounding neighborhoods and properties. ESRIs ArcGIS is a GIS which is working with maps and geographic information. ArcGIS software can be used for following functions: creating and using maps, compiling geographic data, analyzing mapped information, sharing and discovering geographic information, using maps and geographic information in a range of applications, and managing geographic information in database. (Wikipedia, ArcGIS, 2012). The ArcGIS provides tools for constructing maps and geographic information. Literature review on soil erosion Soil erosion is one form of soil degradation along with soil compaction, low organic matter, and loss of soil structure, poor internal drainage, salinization, and soil acidity problems (Wall, 2003). When the degradation of the soil is getting serious, it will contribute in accelerate the soil erosion. Soil erosion is a natural process; it usually does not cause any major problem to the environment. The soil is carried by the agents such as wind, water, ice, animals, and the use of tools by man. Soil erosion is a very slow process and even unnoticeable sometime, but it may occur at an alarming rate which causing the loss of topsoil. Farmers worldwide are losing about 24 billion tonnes of topsoil each year. In developing countries, because of the population pressure forces land to be more intensively farmed, the erosion rates per acre are twice as high as the standard. The soil erosion also will affect the productivity and growth. This is because when the soils are depleted and crops receive poor nourishment from the soil, the food provides poor nourishment to people. The rate of losses soil is faster than the creation of new soil. The difference between creation and loss represents an annual loss of 7.5 to 10 tonnes per acre worldwide. (DeHaan, 1992) The eroded soil that enters watercourse will reduce the water quality, reduces the efficiency of the particulars drainage system and also decreases the storage capacity of lakes. Sediment is the eroded soil that settles in the water systems. Accumulation of the sediment will reduce the capacity of a river or reservoirs to hold flood water. Thus, it requires a lot of money to clean the sediment often and manually. Sediment also can block the sunlight for aquatic plant and inhibit fish spawning. The water becomes not safe for drinking if there is runoff of chemical and nutrients from surrounding farmers fields. In Malaysia, soil erosion is a common natural occurrence. This is due to particular topography, soils and corresponding vegetation that predominate and the extensive rainfall that the country experiences. However, accelerated soil erosion is becoming a serious problem in Malaysia because of rapid land use developments. Various forms of erosion control have been proposed to develop the land in ways that are sensitive to its geography. (Abdullah, 2005) Literature review on Revised Universal Soil Loss Equation The development of Universal Soil Loss Equation (ULSE) initially was to assist soil conservationists in farm planning. They used ULSE to estimate the soil loss on specific slopes in specific fields. USLE was a guide for the conservationist and farmer to control the erosion if the estimated soil loss exceeded acceptable limits. Revised Universal Soil Loss Equation (RUSLE) is a science tool that has been improved over the last several years. It is based on USLE and makes some improvement on the equation. The RULSE has improved the effects of soil roughness and the effect of local weather on the prediction of soil loss and sediment delivery. (Revised Universal Soil Loss Equation, 2003). RUSLE can be used for site evaluation and planning purposes and to aid in the decision in selecting erosion control measure. The RUSLE provides numbers to substantiate the benefits of planned erosion control measures and also an estimate of severity of erosion. A = R.K.LS.C.P A is annual soil loss (tonnes/ha/year). R is rainfall erosivity factor. It is an erosion index for the given storm period (MJ.mm/ha/h) K is soil erodibility factor. It is the erosion rate for a specific soil continuous fallow condition on a 9% slope having a length of 22.1m (tonnes/ha/(MJ.mm/ha/h)) LS are topographic factor. It represents the slope length and the slope steepness. It represents the ratio of the soil loss from a specific site to that from a unit site (9% slope with slope length 22.1m) while other parameters are held constant. C is the cover management factor. It represents the protective coverage of canopy and organic material in direct contact with the ground. P is the support practice factor. It includes the soil conservation operations and other measure of control erosion. Literature review on USLE and RUSLE Table 2.1 Comparison of USLE and RUSLE (Renard, 1991) Factor USLE RUSLE R Based on long term average rainfall conditions for specific geographic areas Data from more weather stations and thus the value are more precise for any given location. RUSLE computes a correction to R. This is to reflect the effect of raindrop impact for flat slopes striking water ponded on the surface. K Based on soil texture, organic matter content, permeability, and other factors inherent to soil type. Adjusted to account for seasonal changes such as freezing and thawing, soil moisture, and soil consolidation. LS Based on length and steepness of slope, regardless of land use. Assigning new equations based on the ratio of rill to interrill erosion, and accommodates complex slopes. C Based on cropping sequence, surface residue, surface roughness, and canopy cover, with are weighted by the percentage. Lumps these factor into a table of soil loss ratios, by crop and tillage scheme. Sub factors (prior land use, canopy cover, surface cover, surface roughness, and soil moisture) are used. Dividing each year into rotation of 15 day intervals, then calculate the soil loss ratio for each period. The value need to recalculate if one of the sub factors change. RUSLE provides improved estimates of soil loss changes as they occur throughout the year, especially relating to surface and near surface residue and the effects of climate on residue decomposition. P Values change depending on the slope ranges with some distinction for various ridge heights. It is based on installation of practices that slow runoff and thus reduce soil movement. Values are based on hydrologic soil groups, slope, row grade, ridge height, and the 10 year single storm erosion index value. In RUSLE, it computes the effect of strip-cropping based on the transport capacity of flow in dense strips relative to the amount of sediment reaching the strip. The P factor for conservation planning considers the amount and location of deposition. Literature review on landslide Landslides are a type of soil erosion and major natural geological hazards. Each year, the landslide is responsible for enormous property damage which involves both direct and indirect costs. Malaysia experience frequent landslides. According to the local newspaper report in the years 2006-2009, along east coast highways in Peninsular Malaysia, in Sabah (East Malaysia) and in the island state of Penang, heavy rainfalls triggered landslides and mud flows. (Pradhan, 2009) Landslides happen when there are changes from a stable to an unstable condition in the stability of a slope. There are natural causes and human causes which contributing to a change in the stability of a slope. Natural causes of landslides include: Groundwater (pore water) pressure acting to destabilize the slope Loss or absence of vertical vegetative structure, soil nutrients and soil structure Erosion of the toe of a slope by rivers or ocean waves Weakening of a slope through saturation by snowmelt, glaciers melting, or heavy rains Earthquakes adding loads to barely table slope Earthquake-caused liquefaction destabilizing slopes Volcanic eruptions Landslides that are due to human causes are: Deforestation, cultivation and construction, which destabilize the already fragile slope Vibrations from machinery or traffic Blasting Earthwork which alters the shape of a slope, or which imposes new loads on existing slope In shallow soils, the removal of deep-rooted vegetation that bind colluvium to bedrock Construction, agricultural or forestry activities which change the amount of water which infiltrates the soil. (Wikipedia, 2012) Landslides in Malaysia are mainly triggered by tropical rainfall and flash floods. The rainfall and floods cause the rock to fail along fracture, joint and cleavage planes. The geology of Malaysia is quite stable but continuous development and urbanization lead to deforestation and erosion of the covering soil layers thus causing serious threats to the slopes (Pradhan, 2007). Abandoned project at hill sites for a certain period which affecting the maintenance of the slopes could causing the slopes to collapse. List of landslide events happened in Malaysia: 1 May 1961 A landslide occurred in  Ringlet,  Cameron Highlands,  Pahang. 21 October 1993 The man-made  Pantai Remis landslide  caused a new  cove  to be formed in the coastline. 11 December 1993 48 people were killed when a block of the  Highland Towers collapsed  at  Taman Hillview,  Ulu Klang,  Selangor. 30 June 1995 20 people were killed in the landslide at  Genting Highlands slip road  near  Karak Highway. 6 January 1996 A landslide in the  North-South Expressway  (NSE) near  Gua Tempurung,  Perak. 29 August 1996 A mudflow near Pos Dipang  Orang Asli  settlement in  Kampar,  Perak, 44 people were killed in this tragedy. 15 May 1999 A landslide near  Bukit Antarabangsa,  Ulu Klang,  Selangor. Most of the  Bukit Antarabangsa  civilians were trapped. 20 November 2002 The  bungalow  of the  Affin Bank  chairman General (RtD) Tan Sri Ismail Omar collapse causing landslide in  Taman Hillview,  Ulu Klang,  Selangor. December 2003 A rockfall in the  New Klang Valley Expressway  (NKVE) near the  Bukit Lanjan  interchange caused the expressway to close for more than six months. 31 May 2006 Four persons were killed in the  landslides  at Kampung Pasir, Ulu Klang, Selangor. 26 December 2007 Two villagers were buried alive in a major landslide, which destroyed nine wooden houses in Lorong 1, Kampung Baru Cina,  Kapit,  Sarawak. 12 February 2009 one contract worker was killed in a landslide at the construction site for a 43-storey condominium in  Bukit Ceylon,  Kuala Lumpur. 21 May 2011 16 people mostly 15 children and a caretaker of an orphanage were killed in a  landslide caused by heavy rains  at the Childrens Hidayah Madrasah Al-Taqwa orphanage in FELCRA Semungkis,  Hulu Langat,  Selangor. (Wikipedia, 2012) A scientific analyses of landslides need to be carry out to predict landslide-susceptible areas, and thus reduce landslide damages through proper preparation and mitigation. So, understanding landslides and preventing them is a serious challenge across worldwide. Literature review on past research and studies TITLE The application of GIS-based logistic regression for landslide susceptibility mapping in the Kakuda-Yahiko Mountains, Central Japan AUTHOR, YEAR Lulseged Ayalew, Hiromitsu Yamagishi, 2005 STUDY AREA Kakuda-Yahiko Mountains and their surroundings. OBJECTIVE / CONCEPT To study the landslide risk around the Kakuda-Yahiko Mountains. To study the use of logistic regression. To demonstrate the combination bivariate statistical analyses (BSA) to simplify the interpretation of the model. METHODOLOGY / METHOD Analytical approaches In LR or even in linear regression, it does little good to combine data with different measuring scales. Make sure that data have been normalized in a manner LR needs. Failure to do so generally leads to problems during the interpretation of the final results. Statistical results Overall model statistics of the regression conducted in this study using IDRISI. Coefficient positive indicating that they are positively related to the probability of landslide formation through the log transformation. Prediction probabilities and the construction of the susceptibility map In addition to the model statistics and coefficients, the final result of the regression process in IDRISI is a predicted map of probability defined by numbers that are constrained to fall between 0 and 1. The more these numbers are close to 1, the better they indicate the likelihood of finding the mapped landslides. Depending on the independent parameters considered, the landslide inventory map and the statistical approach used, the best predictor parameters and the predicted probability map of a logistic regression can vary considerably. OUTPUT / SUMMARY / RESULT Landslides are portrayed according to the types of movements namely slide, fall, flow, spread and topple. The principle of logistic regression (LR) rests on the analysis of a problem, in which a result measured with dichotomous variables such as 0 and 1 or true and false, is determined from one or more independent factors. TITLE Assessment of soil erosion and sediment delivery ratio using remote sensing and GIS AUTHOR, YEAR Weifeng ZHOU and Bingfang WU, 2008 STUDY AREA Upstream Chaobaihe River catchment, north China. OBJECTIVE / CONCEPT To develop monitoring of soil losses in the upstream Chaobaihe River Catchment. To develop a model by using Geographic Information System tools. To compute sediment delivery ratio (SDR) per hydrological unit. METHODOLOGY / METHOD Data Collection Remote sensing data, digital elevation model (DEM), and land use and land cover GIS data were used. Universal Soil Loss Equation (USLE) Simple empirical model, based on regression analyses of soil loss rates on erosion plots in the USA. The model is designed to estimate long-term annual erosion rates for agricultural fields. A = R ·K ·L ·S ·C A represents mean (annual) soil loss, R is the rainfall erosive factor, K is the soil erosibility factor, L is the slope factor, S is the slope length factor, and C is the cover management factor. OUTPUT / SUMMARY / RESULT The work indicated there are a number of advantages in using the modified USLE equation including the ability to combine it with a raster-based GIS to produce a cell-by-cell basis for mapping spatial patterns of soil erosion rates. The advantage of using a GIS raster based framework is that it allows one to quantify the impact of a single factor on the overall result and it can also easily be updated with improved datasets. TITLE Soil erosion hazard evaluation An integrated use of remote sensing, GIS and statistical approaches with biophysical parameters towards management strategies AUTHOR, YEAR Md. Rejaur Rahman, Z.H. Shi, Cai Chongfa, 2009 STUDY AREA Within the Danjiangkou County, with an area of 3115.58 km2 and located in the north-western part of Hubei province of China. OBJECTIVE / CONCEPT To develope numerical model for soil erosion hazard assessment Tto analyze soil erosion by attempting to estimate the volumes or masses of soil loss METHODOLOGY / METHOD Analysis of study area The selected area is within the Danjiangkou County, with an area of 3115.58 km2 and located in the north-western part of Hubei province of China. Sandy clay loam, silt loam and sandy loam on the study area play a dominant role in soil erosion by water. Data acquisition and preparation Prepare and analyze the different types of data in soil erosion prediction and hazard assessment as there are many factors that affect soil erosion status. Soil erosion estimation Models are needed to predict soil erosion rates under different resource and land-use conditions. Empirical erosion prediction models continue to play an important role in soil conservation planning and are widely used to predict soil erosion. OUTPUT / SUMMARY / RESULT The Z-score analysis with GIS and selected parameters, provided a hazard assessment of soil erosion of the area. The methodology of combining the Z-score with GIS provided an improved method for the synthetic evaluation of soil erosion hazard, which extended the GIS capability of spatial analysis and the Z-score capability of multi-layer analysis. TITLE Spatial Prediction of Landslide Hazard Using Discriminant Analysis AUTHOR, YEAR Peter V. Gorsevski, Paul Gessler, Randy B. Foltz, 2000 STUDY AREA Rocky Point, a small watershed of the Clearwater River Basin in central Idaho. OBJECTIVE / CONCEPT To study the concept of Discriminant Analysis and GIS. To analyze the landslide hazard area on Rocky Point. METHODOLOGY / METHOD Principal Component Analysis (PCA) Help to analyze the multivariate data set. Discriminant Analysis Classify presence and absence of landslides using principal component scores. Discriminant analysis is a multivariate technique that is used to build rules that can classify landslide hazard into appropriate class. Cross-validation Estimate the probabilities of misclassification. Cross-validation method removes each observation vector from the calibration data set at a time, forms the discriminant rule based on all the remaining data to classify the removed observation, and notes whether the observation is correctly classified. GIS provided a detailed basis for spatial prediction of landslide hazard. OUTPUT / SUMMARY / RESULT Hazard map generated. Graph of multivariate normal probability plot for the principal component scores. TITLE Remote sensing and GIS-based landslide hazard analysis and cross-validation using multivariate logistic regression model on three test areas in Malaysia. AUTHOR, YEAR Biswajeet Pradhan, 2010 STUDY AREA Penang, Cameron and Selangor. OBJECTIVE / CONCEPT To generate cross-validation of a multivariate logistic regression model using remote sensing and GIS for landslide hazard analysis. METHODOLOGY / METHOD Data and material Interpreting aerial photographs and satellite images (SPOT 5 and Landsat TM) of study area. These aerial photographs were taken during 1981-2006 and were acquired from Malaysian Remote Sensing Agency data archives. Data analysis using ARC/INFO GIS software package and a Digital Elevation Model (DEM) was constructed. These data are related to the primary e ¬Ã¢â€š ¬ects (impact of debris or inclusion of a ¬Ã¢â€š ¬ected site from previously occurred landslides) of a wide variety of landslide types Model Approaching Traditional approach using a multivariate logistic regression model implemented in a GIS framework. The landslide hazard analysis is a function of a variety of variables that include slope, aspect, curvature, topography, distance from drainage, land cover, soil texture and types, geology and distance from lineament, rainfall precipitation, and the normalized di ¬Ã¢â€š ¬erence vegetation index (ndvi) The coefficient applied to the study area, for landslide hazard mapping. Multivariate logistic regression model Easier to use than discriminant analysis when have a mixture of numerical and categorical regressors , because it includes procedures for generating the necessary dummy variable automatically. Application of multivariate logistic regression model on landslide hazard mapping. Validation of the model. OUTPUT / SUMMARY / RESULT The validation results showed a satisfying agreement between the hazard maps and the landslide locations verified in the field. TITLE GIS Application in Landslide Hazard Analysis AUTHOR, YEAR Chyi-Tyi Lee, 2009 STUDY AREA Shihmen Reservoir Catchment Area in Northern Taiwan. OBJECTIVE / CONCEPT To analyze the landslide hazard area using GIS application. METHODOLOGY / METHOD Image and data collection The basic data utilized included a 5m x 5m grid DEM, SPOT5 images, 1/500 photo-based contour maps, 1/50000 geologic maps and hourly rainfall data. Establish of event-based landslide inventory To develop susceptibility model, only considered new landslides triggered by typhoons. Landslides triggered by Typhoon Aere were interpreted and delineated by comparing SPOT5 images taken before and after thetyphoon. Determination of causative factors and triggering factors These factors are then statistically tested and y effective factors selected for susceptibility analysis. 10 factors are selected: Lithology, slope gradient, NDVI, slope roughness, profile curvature, total slope height, relative slope height, topographic wetness index, distance to a fault, maximum rainfall intensity. Analysis Construction of model via logistic regression. Logistic regression to determine a linear function of factors for interpreting the landslide distribution from a set of training data. The linear function is used to calculate the landslide susceptibility index (LSI) for each cell. The LSI used to establish a probability of failure to LSI curve and determine the spatial probability of landslide occurrence at each cell. Landslide susceptibility mapping The landslide hazard area could be for the prediction of future landslides providing a scenario rainfall distribution is given. OUTPUT / SUMMARY / RESULT Successfully predict landslide location, area and volume in a drainage basin or catchment area using GIS.

Student Democratic Party Platform Essay -- Political Science Politics

Preamble As we look back upon the 20th Century we see the birth of American prominence. The century is marked with glorious American achievements ranging from the birth of the Space Age to the development of the Information Age. Now, as we venture through the new millennium, the potential of further American prosperity is enormous. At times this journey will be a perilous quest, but with valiant leadership this nation shall flourish. Only the Democratic Party is prepared to guide America towards this future. Under the watchful guidance of President Bill Clinton and the Democratic Party, America is finally moving in the right direction. In 1996, we, the Democratic Party, adopted and enacted a platform that has reinvigorated the American spirit of opportunity, responsibility, and community within our national character. Along with the hard work and determination of the American public this nation has achieved an unprecedented level of prosperity. Currently, the American economy is on a record setting pace that is continuously strengthening our economic security. The level of unemployment in America is at a record low. Almost every able-body American is on the job working towards their American dream, and we, the Democratic Party, will not be satisfied until everyone can enjoy their American dream. Through Democratic leadership the quality of life in America has vastly improved. America’s education system is improving, the environment is cleaner, families are healthier, and our streets are safer. Today, any American can claim that their lives are better off than they were 8 years ago. All across America the success of the Democratic Party platform can be seen. But we want more. The Democratic Party is determined to giv... ... first two years of college are free at any State or City University. This will result in a stronger economy and nation because as a whole society, we are strengthening the knowledge of our youth. A substantial amount of Americans are without health insurance. We propose tax credits for small businesses that provide health insurance, retirement benefits, and employment and internships to students. We also propose that tax credits be given to businesses that practice clean air and environmental safety. We believe that our youth is a key concern of the nation and we need to set certain measures to make them feel safe and secure as Americans. A measure that we feel that needs to be taken is to raise taxes on such products as cigarettes and guns. The Democratic Party believes in helping American families economically and socially through more equitable tax benefits.

Effects of Media Globalisation Essay

Summary of the Effects of Media Globalization by Mary Hickman The world, in many ways, has been benefited from media globalization. However, the lurking dark side of media globalization that threatens us, as audiences of the media, has to be acknowledged and cogitated. Undoubtedly, media globalization has transformed our lives in many ways. Friedman (2005) asserted that the seamless information sharing have brought nations closer in the facets of businesses, personal communications and medical industries. Unfortunately, media globalization has brought about many drawbacks to the world. Firstly, it is a question of the motivation behind media corporations. According to Chomsky (1996), profits are the primary motivation behind every multi-national media corporations. Overwhelming media businesses have swallowed the essence of journalism. As a result, media corporations have the ability to manipulate the media, creating their ideal audience of a certain kind. Due to the small pool of competing media corporations, the existing powerful media corporations have been dominating the media content. Through various underhand methods, the media corporations have effectively influenced and gained favor by the government. Friedman acknowledges that American media corporation, as leaders in the media globalization arena, are leading the media world into a dangerous position; posing a great challenge to media liberation. In addition, Siochru (2004) postulated that intervening American media has damaged cultures amongst countries. While the voices of the audiences are suppressed, proliferation of unhealthy media content such as cognitive content of greed has been appalling. Due to the minimum participation of media content from the audiences, we are vulnerable to any form of ideologies that are intentionally displayed by the media monopoly.

Introduction to Quality Assurance

One of the important aspects of any healthcare organization is the quality assurance mechanism.   Any healthcare organization would have to be professionally competent, ensuring that the processes in the organization would ultimately ensure the safety of the services provided.   The organization should develop an effective strategy of handling the quality issues. It is important that the administrators understand the importance of quality, develop a quality assurance program, implement it in a phased manner over a period of time, release resources needed for quality assurance, utilize appropriate quality tools, develop and maintain processes and develop an appropriate auditing system.   Some of the quality assurance tools utilized include management tools, presentation tools and statistical analysis tools.   Some of the process deployment tools include marketing tools, tools for changing behavior, etc (Software Certifications, 2006). As healthcare sector is a vital industry, it is very important that quality assurance is given prime importance by the organization.   One of the very important aspects is customer satisfaction and reducing risk.   Protection of patients is the most important aspect of quality assurance.   However, not less important is to ensure that cost-effectiveness and responsive attitude is maintained.   All these significantly contribute towards bringing about patient satisfaction (LRQA, 2003). Some of the measures that may be required for quality assurance include:- Having a quality assurance program in priority areas Responding to the needs of the public appropriately Identifying means by which costs can be reduced and implementing a strategy to save costs Developing best practices mechanisms Accreditation in order to improve quality standards Not only achieving certain quality standards but upgrading them frequently Having an effective decision-making and problem-solving process in the organization (Gonzalez, 2006). References: Gonzalez, M. (2006). â€Å"Health Care Sector Reform and Quality Assurance in Costa Rica.’ Retrieved on April 11, 2008, from QA Project Web site: http://www.qaproject.org/pubs/PDFs/costarica.pdf Lloyd’s Register Quality Assurance Limited (2003). â€Å"Quality in the healthcare sector.† Retrieved on April 11, 2008, from LRQA Review Web site: http://www.lrqa.fr/frsite/content/pdf/rev0603.pdf Software Certifications (2006). â€Å"2006 CSQA Body of Knowledge.† Retrieved on April 11, 2008, from Software Certifications Web site: http://www.softwarecertifications.org/csqabok/csqa6cbok4.htm