Nursing ethical dilemma Essay Example | Topics and Well Written Essays - 1000 words

Nursing ethical dilemma - Essay Example Such scenarios make it necessary to study the ethical dilemmas faced by nurses to avoiding getting in trouble. Nurses ought to have moral concepts that would ensure that they provide care that is correct, rational and good. Nurses are obliged to give their patients the chance to express their feeling and choose the way they want nurses to serve them. Decision-making and science are the rationales under which ethical nursing care is based on. The essay focuses on two moral dilemmas that are common with practicing nurses in their daily activities. The essay relates the two ethical dilemmas faced by nurses to a particular moral principle that nurses should possess. Nurses are guided by a set code of ethics, which are meant to guide nurses on their actions and help to help solve moral dilemmas. The second part of the essay after the introduction part deals with the first ethical dilemma and the moral principle that relates to the dilemma. The third part of the essay tackles the second dilemma and just like the second part, the section also discusses the ethical principle under which the dilemma falls under. Conclusion is the final part of the paper, and this is where the major points in the essay are put in a clearer perspective. Nurses have reported cases of having to deal with patients who exercise their rights to say no to any directives given to them by nurses. Patients with Anorexia, an eating disorder that is becoming common refuse to take food given to them by nurses as the condition makes an individual detest eating. Patients suffering from the disease fail to eat any food provided to them by nurses and in the process, their body starts consuming itself damaging the patients health. Such an issue raises questions such as how nurses deal with patients who refuse to eat even if eating is imperative for them getting better. Another question on nurses’ mind is the motive behind such a patient’s decision of not

Plant Diseases Through Image Processing Techniques Computer Science Essay

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

the color purple Essay -- essays research papers

Color of Purple is a Novel by Alice Walker, published in 1982. It won a Pulitzer Prize in 1983. A feminist novel about an abused and uneducated black woman's struggle for empowerment, the novel was praised for the depth of its female characters and for its eloquent use of black English vernacular. African-American people have had to climb over many obstacles to get to their position today. First, was the selling of their people into slavery. Then, they endured slavery itself, being treated like an animal. After slavery was abolished, Colored people still had to deal with racial discrimination and hatred. If this sounds rough, black women had it worse. African-American women had to deal with all the previously mentioned things, but they were women too! Females were oppressed almost as bad as the blacks. White women were not able to vote until the 1920. Therefore colored women had a double edged sword, they had to fight for freedom, but not be to dominate as to effect the men. Alice Walker's The Color Purple is a good example of colored women's plight. Three obstacles black women had to overcome to be able to express themselves were Racism, the lack of education, and the stereo-type that women are inferior. Sophia is Harpo's wife and a very strong character. She does not let anyone beat her or slap her. After the mayor of the town slaps her she attacks him and is sent to jail. In order to survive, she is forced to become the maid and servant for the mayor. Later she moves back in with Harpo and finally works for Celie in the general store. Black women were known as "the mule of the world", before, in the 1930s, where this novel takes place. Sofia, one of the fictions characters presented by Alice Walker on her novel The Color Purple is portrayed as a strong woman, one of the "mules of the world", but, even though she is insulted, beaten and underestimated, she is willing to change the system and change the image of black woman that American black and white man possess. She is an honorary mule that wants to change the system, but in change, society breaks her. Sofia, a radical woman, is willing to give her life away to her being treated equally to the rest of the world. She wants to see this happening, and fights for it, pays hard, but never experiences this equality happening. First, she is discriminated by Harpo, who is taught by Mr. ... ... She stood outside on her side the car clearing her throat. Finally she say, Sofia, with a little laugh, This is the South. Yes ma'am, I say. She clear her throat, laugh some more. Look where you sitting, she say. I'm sitting where I always sit, I say. That's the problem, she say. Have you ever seen a white person and a colored sitting side by side in a car, when one of Å’em wasn't showing the other one how to drive it or clean it ?" (pg. 109). This is the kind of mentality possessed by whites in the 1930s, time of the book. Blacks and whites could not be seen treated as equal, as what was happening with Sofia and Miss Millie. The proof that shows that blacks are not necessarily inferior, but equal or superior is shown when Sofia teaches Miss Millie to drive. All these examples show how Sofia demonstrates that blacks, nor women are less efficient than the rest of the world, the same or even more. Sofia is a fighter, one who fights for her rights of equality as a woman and as a black. She, as a feminist and proponent of radical equality wants to change the system, but society ends up breaking her, showing the little power of influence that a black woman has on the world.

Art Essay

Why should we make art? What is the purpose? How does it affect our culture , generation and or world? Art is an expression of oneself that is shared between people due to many did efferent personal reasons that contribute to the happiness and satisfaction felt from c aerating, viewing and pondering art. Some of these personal reasons that people have to justify the creation of art is the pleasure it provides, the creativity it gives you, the feeling of freedom, and the lifelong challenge or self growth.Art effects are culture because it helps defines era's through t he way what kind of art was created and how the art was created. Art provides great pleasure for those who create art because of its relaxing an true. It gives you time to yourself and time away from stressful jobs, classes and relations pips that all require a substantial amount of energy from you. It simply gives you time to be alone a ND in solitude from the world.It allows you to think deeper than just the superficia l expression of he art and allows you to solve problems in other areas of your life through the simple relaxing nature of creating and viewing art. Art can give you an excess of creativity to use in other aspects of life. As you c intention to view and ponder art, you keep pushing yourself to see the art in different ways.

We should embrace nihilism for growth

NIHILISTIC PERSPECTIVEâ€Å"Nihilism is the belief that all values are baseless and that nothing can be known or communicated. It is often associated with extreme pessimism and a radical skepticism that condemns existence. A true nihilist would believe in nothing, have no loyalties and no purpose other than, perhaps, an impulse to destroy† (http://www.iep.utm.edu/n/nihilism.htm). In a nihilist perspective, there are no beliefs in dogma, religion and other socially constructed norms and standards. Nihilists question the set of universally made way of thinking and that there is nothing real in this world.SOCIAL CONSTRUCTIONâ€Å"Social constructs are institutionalized entity or artifacts in a social system, invented or constructed by participants in a particular culture or society that exist because people agree to behave as if it exist, or agree to follow certain conventional rules, or behave as if such agreement or rules existed† (wikipedia.org). Social constructs are c reated entities in which people or groups of people perceived them to be true. Social constructs are perceived realities that are put into a convention to be turned into social beliefs. Some examples of social constructs are religion, morality, sexuality, class and many more.These social constructs play a major role in people’s daily lives. Social constructs became an integral part of people’s daily lives. These became inevitable realities of their existence. Basically, how people act are based on social constructions. Social constructions dictate the everyday lives of people. Social constructs determine how people will act and what their pattern of actions is. These social constructs are the perceived rightness of actions in a particular given situation. Therefore, people’s lives are controlled and move by social constructs.Social constructs evolve and changes as time pass by. It depends on the richness of thought of human beings. The minds of human beings are very rich and full of possibilities. People have the capability of evolving one system of thought into another. A particular social construct is not permanent and will not last forever because it only depends on the people who were the ones who constructed them. Social constructs are dynamic because the minds of people are also dynamic. What most people are experiencing now may just become a history of tomorrow.THE WORLD AS A REALM OF MEANING AND CAN BE DISCLOSED BY NIHILISMFor Heidegger, he viewed the world as a realm of meanings and possibilities. These possibilities are for Da-sein to discover and the meanings are for Da-sein to assimilate. This world for Heidegger is where the Da-sein is situated and part of the facticities given to the Da-sein. This world is for the Da-sein to discover and understand. The world gives meaning to the existence of man and man is to exhaust these meanings or possibilities. Hence, the world is where the Da-sein interacts and for him to assimilate.Th is word â€Å"aletheia† describes the world for Heidegger. â€Å"Aletheia† means revelation and concealment which constitutes the world’s disclosedness to man. The world is the realm of meanings for man that man is always in constant assimilation. Even if it reveals itself to man, it also conceals something to man and that the task of man to assimilate and understand is a never-ending task and that Heidegger called man as â€Å"always already understanding the world†.The word â€Å"always† signifies the infinity of understanding that man is task to reveal the world, the never-ending task of correlation and understanding. Man as Da-sein is the very nature and function of man as a being who is thrown into this world. â€Å"Da† means there and â€Å"sein† means being. Da-sein is openness to the world and the readiness of man to exhaust and assimilate. Da-sein is the there of being of man, the very thrown ness of man into a particular con text. To understand more of man as Da-sein, we will tackle on the succeeding parts the functions of being a Da-sein.According to the great Heidegger, attunement is man’s mood or state of mind in which affects his perception of reality. He viewed man as always in the mood and is always ready to understand reality. Man as being thrown into this world, attunement is already embedded in his being. This attunement as already embedded in the being of man girds man to understand. Given the facticity of Da-sein as being-in-a-world, he is always in the mood to seize reality or to be conscious of reality and thus constituting man’s openness to the world. Da-sein as the there of being is always situated in the world thus, a temporal being.This situated ness of man gives him ample opportunity to correlate with the world and to fulfill his very nature as an understanding being who is already attuned to do so. Man becomes conscious by virtue of interaction, which is the very process of understanding for Heidegger. To correlate with the world is to exhaust its possibilities, to assimilate its meaning. Through interaction, man becomes conscious of reality, becomes conscious of meaning. Reality is already in the realm of meanings, which constitutes the world, and it is only for man that he can be conscious of and that is by virtue of correlating with the world.To question dogma and religion and other social constructs can be a tool for better understanding of reality. As discussed, Heidegger emphasized that man can slowly reveal the reality of beings by correlating with the world which is the world of meaning and possibilities. The world has its own meaning. The nihilistic view in its proper use, such as not totally for destruction but of finding the truth behind the world, it can open man’s eye to the real meaning of this world. Man as Da-sein in being a nihilist can be able to arrive at a better truth regarding the world. The world still has a lot to giv e in man’s understanding of it that is why dogmas and principles of today must be questioned because it is still not in its absolute state.NIHILISM AS A TOOL TO A BETTER UNDERSTANING OF REALITYMan’s life is full of socially constructed norms and beliefs that are the ones dictating what he ought to do and act. There is religion that dictates morality and there is government that dictates who are enemies and not such as who are terrorists and not terrorists. A society is comprised of many ideas and perspectives that battles to gain monopoly. Man is put in the center of contrasting views.With the birth of nihilism, there came an opportunity to arrive in a truth wherein wrong dogma and beliefs can be erased and replaced with better ones. Nihilism can give good effects if not put in its extreme nature of destruction. Questioning beliefs and dogma is a healthy process to undertake. Through questioning, man can slowly reveal to himself the true essence of his existence. Quest ioning must also not be intertwined with destruction because it can be a truly great means for development and better understanding.â€Å"I hope to bring some balance and clarity to a number of realities that seem to attract a great deal of misunderstanding: [1] the very serious issues of violence in Islam [including recent Muslim violence]; [2] the abhorrence that many Muslims have of violence; [stereotypes of Islam and Muslims as inherently violent]; and [4] the larger context of violence in our world [not just the Muslim world], much of which is woven into the fabric of our society in such a way that we may not even regard it as our own violence† (Hussain, 2006). The misunderstandings such as looking as a Muslim to be violent can be corrected by the nihilist perspective. People can arrive to a certain truth that not all Muslims are violent and stereotyping can be erased.NIHILISM AS A TOOL TO END CHAOS AND VIOLENCE IN THIS WORLDThe chaotic world is brought about by the diff erences in beliefs and norms and even in the practices of different religions. These are products of social constructions. With different beliefs and principles and with the devotion to such beliefs and principles, it brings chaos and even to violence. People seem to impose their own beliefs to other people which also have their own set of beliefs. By imposing one’s beliefs, it creates an atmosphere of competition that gives tensions and chaos to this world.Nihilism can be a tool to end all chaos and find peace in this world. People, in there different perspectives, can look at the common ground of their different beliefs. To question their own beliefs is a healthy process and even comparing their own beliefs to others is also a healthy process. This is an act of nihilism. People will not destroy their principles and beliefs but rather, developing it to be better set of beliefs and principles.One example can be seen in the realm of religion where we can see differences but lo oking at the greater reality of it, there are much more similarities that can be used in arriving to a better belief, a belief that can be bannered by all people from different contexts. Even the difference of science and religion, if nihilistic perspective can be used in a proper way of dialectics and questioning, people may arrive at a certain truth that science and religion has its common ground and that one will not be an opposition of the other.CONCLUSIONThe world is a realm of meaning and possibilities and is plague with socially constructed beliefs and principles. With the birth of nihilism, which is a perspective that most of a time attributed to destruction, the world may find better understanding in its hand. By the method of questioning which is a healthy process, people can arrive to better understanding of reality and the very principles and beliefs that they believe. Therefore, we should embrace nihilism.BIBLIOGRAPHYBogossian, Paul. What is Social Construction. 03 Mar. 2007Heidegger, Martin. The Question of Being. New Haven (Conn): College and University  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚   Press 1958.Hussain, Amir. Oil and Water: Two Faiths: One God. Pilgrim Pr, 2006.Nishitani, Keiji. Religion and Nothingness. University of California press, 1983.http://www.iep.utm.edu/n/nihilism.htm#H5