Results for 'Ann Loades'

99 found
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  1.  40
    Dennis Richard Danielson. Milton's Good God: A Study in Literary Theodicy. Pp. Xi+ 292.(Cambridge University Press, 1982.)£ 20.00. [REVIEW]Ann Loades - 1985 - Religious Studies 21 (1):97-100.
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  2.  27
    Modeling Cognitive Development of the Balance Scale Task Using ANN.Yara Essam Al-Atrash, Ahmed Tariq Wishah, Tariq Hosni Abul-Omreen & Samy S. Abu-Naser - 2020 - International Journal of Academic Information Systems Research (IJAISR) 4 (9):74-81.
    In this paper we describe a Artificial Neural Network model of children's development on the balance scale task. In balance scale experiments, the child is asked to predict the outcome of placing certain numbers of equal weights at various distances to the left or right of a fulcrum. Both stage progressions and information salience effects have been found with children on this task. Artificial Neural Network provided better fits to these human data than did previous models, whether rule-based or connectionist. (...)
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  3. Review of 'The Great Ocean of Knowledge. The Influence of Travel Literature on the Work of John Locke' by Ann Talbot. [REVIEW]María G. Navarro - 2011 - Seventeenth-Century News 69 (3&4):162-164.
    The resercher Ann Talbot presents in this book one of the more complex and in-depth studies ever written about the influence of travel literature on the work of the British philospher John Locke (1632-1704). At the end of the 18th century the study of travel literature was an alternative to academic studies. The philosopher John Locke recommended with enthousiasm these books as a way to comprehend human understanding. Several members of the Royal Society like John Harris (1966-1719) affirmed that the (...)
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  4.  25
    ANN Model for Predicting Protein Localization Sites in Cells.Mohammed Nafez Abu Samra, Bilal Ezz El-Din Abed, Hossam Abdel Nasser Zaqout & Samy S. Abu-Naser - 2020 - International Journal of Academic and Applied Research (IJAAR) 4 (9):43-50.
    To automate examination of massive amounts of sequence data for biological function, it is important to computerize interpretation based on empirical knowledge of sequence-function relationships. For this purpose, we have been constructing an Artificial Neural Network (ANN) by organizing various experimental and computational observations as a collection ANN models. Here we propose an ANN model which utilizes the Dataset for UCI Machine Learning Repository, for predicting localization sites of proteins. We collected data for 336 proteins with known localization sites and (...)
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  5. "Overcoming Objectification: A Carnal Ethics," by Ann J. Cahill. [REVIEW]Shoshana Brassfield - 2012 - Teaching Philosophy 35 (2):217-221.
    The central argument of Ann Cahill’s Overcoming Objectification is that the concept of sexual objectification should be replaced by Cahill’s concept of derivatization in order to better capture the wrongness of degrading images and practices without depending on an objectionably narrow and disembodied conception of self. To derivatize someone is not to treat her as a non-person, but rather to treat her as a derivative person, reducing her to an aspect of another’s being. Although not perfect, Cahill’s approach advances the (...)
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  6. In the Chaos of Today's Society: The Dynamics of Collapse as Another Shift in the Quantum Anthropology of Heidi Ann Russell.Radek Trnka - 2015 - Prague: Togga.
    The presented study introduces a new theoretical model of collapse for social, cultural, or political systems. Based on the current form of quantum anthropology conceptualized by Heidi Ann Russell, further development of this field is provided. The new theoretical model is called the spiral model of collapses, and is suggested to provide an analytical framework for collapses in social, cultural, and political systems. The main conclusions of this study are: 1) The individual crises in the period before a collapse of (...)
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  7. ANN for Predicting Mobile Phone Price Range.Fatthy Khillha & Nassar Shawwa - 2020 - International Journal of Academic Information Systems Research (IJAISR) 3 (2):1-6.
    In this paper an Artificial Neural Network (ANN) model, was developed and tested for predicting the price range of a mobile phone. We used a dataset that contains mobile phones information, and there was a number of factors that influence the classification of mobile phone price. Factors as battery power, CPU clock speed, has dual sim support or not, Front Camera mega pixels, has 4G or not, has Wi-Fi or not, etc…. 20 attributes were used as input variables for the (...)
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  8.  56
    ANN for Diagnosing Autism Spectrum Disorder.Mohammad Nassar - 2020 - International Journal of Academic Information Systems Research (IJAISR) 3 (12):12-17.
    In this paper an Artificial Neural Network (ANN) model, was developed and tested for diagnosing Autism Spectrum Disorder (ASD). A dataset collected from ASD screening app was used in this paper, it contains ASD tests results based upon questions answers from users. Test data evaluation shows that the ANN model is able to correctly diagnose ASD with 100% accuracy.
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  9.  55
    ANN for Lung Cancer Detection.Nassar AlIbrahim & Murshidy Suheil - 2020 - International Journal of Engineering and Information Systems (IJEAIS) 3 (3):17-21.
    In this paper, we developed an Artificial Neural Network (ANN) for detect the absence or presence of lung cancer in human body. Symptoms were used to diagnose the lung cancer, these symptoms such as Yellow fingers, Anxiety, Chronic Disease, Fatigue, Allergy, Wheezing, Coughing, Shortness of Breath, Swallowing Difficulty and Chest pain. They were used and other information about the person as input variables for our ANN. Our ANN established, trained, and validated using data set, which its title is “survey lung (...)
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  10.  55
    ANN for Predicting Birth Weight.Shawwah Mohammad & Murshidy Suheil - 2020 - International Journal of Academic Health and Medical Research (IJAHMR) 1 (3):9-12.
    In this research, an Artificial Neural Network (ANN) model was developed and tested to predict Birth Weight. A number of factors were identified that may affect birth weight. Factors such as smoke, race, age, weight (lbs) at last menstrual period, hypertension, uterine irritability, number of physician visits in 1st trimester, among others, as input variables for the ANN model. A model based on multi-layer concept topology was developed and trained using the data from some birth cases in hospitals. The evaluation (...)
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  11.  51
    ANN for Predicting Animals Category.Nassar Ibraheem & AlKahlout Mohammad - 2020 - International Journal of Academic and Applied Research (IJAAR) 3 (2):18-23.
    In this paper an Artificial Neural Network (ANN) model, was developed and tested for predicting the category of an animal. There is a number of factors that influence the classification of animals. Such as the existence of hair/ feather, if the animal gives birth or spawns, it is airborne, aquatic, predator, toothed, backboned, venomous, has –fins, has-tail, cat-sized, and domestic. They were then used as input variables for the ANN model. A model based on the Multilayer Perceptron Topology was developed (...)
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  12.  43
    ANN for Tic-Tac-Toe Learning.Dalffa Abu-Mohaned - 2020 - International Journal of Engineering and Information Systems (IJEAIS) 3 (2):9-17.
    Throughout this research, imposing the training of an Artificial Neural Network (ANN) to play tic-tac-toe bored game, by training the ANN to play the tic-tac-toe logic using the set of mathematical combination of the sequences that could be played by the system and using both the Gradient Descent Algorithm explicitly and the Elimination theory rules implicitly. And so on the system should be able to produce imunate amalgamations to solve every state within the game course to make better of results (...)
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  13.  42
    ANN for Predicting the Effect of Oxygen Consumption of Thylakoid Membranes (Chloroplasts) From Spinach After Inhibition.Shawah Mohammad - 2020 - International Journal of Academic Engineering Research (IJAER) 3 (2):15-19.
    In this research, an Artificial Neural Network (ANN) model was developed and tested to predict effect of oxygen consumption of thylakoid membranes (chloroplasts) from spinach after inhibition. A number of factors were identified that may affect of oxygen consumption of thylakoid membranes from spinach. Factors such as curve, herbicide, dose, among others, as input variables for the ANN model. A model based on multi-layer concept topology was developed and trained using the data from some inhibition of photosynthesis in farms. The (...)
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  14.  28
    ANN for Predicting Overall Car Performance.Mubayyed Osamma & Gazaz Ahmed - 2020 - International Journal of Academic and Applied Research (IJAAR) 1 (3):1-4.
    In this paper an Artificial Neural Network (ANN) model was used to help cars dealers recognize the many characteristics of cars, including manufacturers, their location and classification of cars according to several categories including: Buying, Maint, Doors, Persons, Lug_boot, Safety, and Overall. ANN was used in forecasting car acceptability. The results showed that ANN model was able to predict the car acceptability with 99.62 %. The factor of Safety has the most influence on car acceptability evaluation. Comparative study method is (...)
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  15.  27
    ANN for Tic-Tac-Toe Learning.Dalffa Muhannad - 2020 - International Journal of Engineering and Information Systems (IJEAIS) 3 (2):9-17.
    Throughout this research, imposing the training of an Artificial Neural Network (ANN) to play tic-tac-toe bored game, by training the ANN to play the tic-tac-toe logic using the set of mathematical combination of the sequences that could be played by the system and using both the Gradient Descent Algorithm explicitly and the Elimination theory rules implicitly. And so on the system should be able to produce imunate amalgamations to solve every state within the game course to make better of results (...)
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  16.  27
    ANN for Predicting Books’ Overall Rating.Nassar AlIbrahim & Gazaz Ahmed - 2020 - International Journal of Academic Engineering Research (IJAER) 8 (3):1-5.
    We developed an Artificial Neural Network (ANN) model for predicting the overall rating of books. The prediction is based on some Factors (bookID, title, authors, isbn, language_code, isbn13, # num_pages, ratings_count, text_reviews_count), which used as input variables and (average_rating) as output for our ANN predictive model. Our model established, trained, and validated using data set, which its title is “Goodreads-books”. Model evaluation showed that the ANN model is able to predict correctly 99.90% of the validation instances.
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  17.  25
    ANN for Predicting Movies Rates Category.Nassar Shawwa & Fatthy Khillha - 2020 - International Journal of Academic Engineering Research (IJAER) 3 (2):21-25.
    We proposed an Artificial Neural Network (ANN) in this paper for predicting the rate category of movies. A dataset used obtained from UCI repository created for research purposes. Our ANN prediction model was developed and validated; validation results showed that the ANN model is able to 92.19% accurately predict the category of movies’ rate.
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  18. ANN for Parkinson’s Disease Prediction.Salah Sadek, Abdul Mohammed, Abdul Karim Abunbehan, Majed Abdul Ghattas & Mohamed Badawi - 2020 - International Journal of Academic Health and Medical Research (IJAHMR) 3 (1):1-7.
    Parkinson's Disease (PD) is a long-term degenerative disorder of the central nervous system that mainly affects the motor system. The symptoms generally come on slowly over time. Early in the disease, the most obvious are shaking, rigidity, slowness of movement, and difficulty with walking. Doctors do not know what causes it and finds difficulty in early diagnosing the presence of Parkinson’s disease. An artificial neural network system with back propagation algorithm is presented in this paper for helping doctors in identifying (...)
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  19. Recension av Ann Heberlein, Etik: människa, moral, mening. [REVIEW]Gustav Alexandrie - 2015 - Filosofisk Tidskrift 36 (1):43-48.
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  20. Beauty as Pride: A Function of Agency.Peg Zeglin Brand Weiser - 2011 - APA Newsletter on Philosophy and Medicine 10 (2):5-9.
    This is basically a paper about artistic evaluation and how multiple interpretations can give rise to inconsistent and conflicting meanings. Images like Joel-Peter Witkin’s First Casting for Milo (2004) challenge the viewer to look closely, understand the formal properties at work, and then extract a meaning that ultimately asks, Is the model exploited or empowered? Is Karen Duffy, pictured here, vulnerable and “enfreaked” or is she potentially subversive, transgressive, and perhaps self-empowered? I will offer an argument in agreement with artist/author/ (...)
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  21.  33
    Neural Network Approach to Predict Forest Fires Using Meteorological Data.Mutasim Mahmoud Al-Kahlout, Ahmed Mahmoud Abu Ghaly, Donia Zaher Mudawah & Samy S. Abu-Naser - 2020 - International Journal of Academic Engineering Research (IJAER) 4 (9):68-72.
    Forest fires are a major environmental issue, creating economical and ecological damage while endangering human lives. Fast detection is a key element for controlling such phenomenon. To achieve this, one alternative is to use automatic tools based on local sensors, such as provided by meteorological stations. In effect, meteorological conditions (e.g. temperature, wind) are known to influence forest fires and several fire indexes, such as the forest Fire Weather Index (FWI), use such data. In this work, we explore a Just (...)
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  22. Our Toil Respite Only: Woolf, Diamond and the Difficulty of Reality.Karen Zumhagen-Yekplé - 2015 - MLN 130 (5):1-28.
    In this essay, I read Woolf’s To the Lighthouse together with philosopher Cora Diamond’s writing on literature and moral life, writing marked by her inheritance from Wittgenstein. I first attend to Woolf’s commitment (one she shares with Wittgenstein) to grappling with what I take to be signature issues of modernism: question, quest, and a longing for vision or revised understanding as a way of confronting the difficulty of reality. I then probe Woolf’s engagement with these issues by reading her novel (...)
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  23. Contrastive Knowledge Surveyed.Jonathan Schaffer & Joshua Knobe - 2012 - Noûs 46 (4):675-708.
    Suppose that Ann says, “Keith knows that the bank will be open tomorrow.” Her audience may well agree. Her knowledge ascription may seem true. But now suppose that Ben—in a different context—also says “Keith knows that the bank will be open tomorrow.” His audience may well disagree. His knowledge ascription may seem false. Indeed, a number of philosophers have claimed that people’s intuitions about knowledge ascriptions are context sensitive, in the sense that the very same knowledge ascription can seem true (...)
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  24.  86
    Revisionist Reporting.Kyle Blumberg & Harvey Lederman - forthcoming - Philosophical Studies.
    Several theorists have observed that attitude reports have what we call “revisionist” uses. For example, even if Pete has never met Ann and has no idea that she exists, Jane can still say to Jim ‘Pete believes Ann can learn to play tennis in ten lessons’ if Pete believes all 6-year-olds can learn to play tennis in ten lessons and it is part of Jane and Jim’s background knowledge that Ann is a 6-year-old. Jane’s assertion seems acceptable because the claim (...)
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  25.  32
    Artificial Neural Network for Predicting Car Performance Using JNN.Awni Ahmed Al-Mobayed, Youssef Mahmoud Al-Madhoun, Mohammed Nasser Al-Shuwaikh & Samy S. Abu-Naser - 2020 - International Journal of Engineering and Information Systems (IJEAIS) 4 (9):139-145.
    In this paper an Artificial Neural Network (ANN) model was used to help cars dealers recognize the many characteristics of cars, including manufacturers, their location and classification of cars according to several categories including: Buying, Maint, Doors, Persons, Lug_boot, Safety, and Overall. ANN was used in forecasting car acceptability. The results showed that ANN model was able to predict the car acceptability with 99.12 %. The factor of Safety has the most influence on car acceptability evaluation. Comparative study method is (...)
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  26. Predicting Books’ Overall Rating Using Artificial Neural Network.Ibrahim M. Nasser & Samy S. Abu-Naser - 2019 - International Journal of Academic Engineering Research (IJAER) 3 (8):11-17.
    We developed an Artificial Neural Network (ANN) model for predicting the overall rating of books. The prediction is based on some Factors (bookID, title, authors, isbn, language_code, isbn13, # num_pages, ratings_count, text_reviews_count), which used as input variables and (average_rating) as output for our ANN predictive model. Our model established, trained, and validated using data set, which its title is “Goodreads-books”. Model evaluation showed that the ANN model is able to predict correctly 99.90% of the validation instances.
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  27. Sex, Lies and Pornography.Ann Garry - 2002 - In Hugh LaFollette (ed.), Ethics in Practice: An Anthology. Blackwell.
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  28. Lawrence Kohlberg's Approach to Moral Education.F. Clark Power, Ann Higgins-D'alessandro & Lawrence Kohlberg - 1989
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  29. A Sense So Rare: Measuring Olfactory Experiences and Making a Case for a Process Perspective on Sensory Perception.Ann-Sophie Barwich - 2014 - Biological Theory 9 (3):258-268.
    Philosophical discussion about the reality of sensory perceptions has been hijacked by two tendencies. First, talk about perception has been largely centered on vision. Second, the realism question is traditionally approached by attaching objects or material structures to matching contents of sensory perceptions. These tendencies have resulted in an argumentative impasse between realists and anti-realists, discussing the reliability of means by which the supposed causal information transfer from object to perceiver takes place. Concerning the nature of sensory experiences and their (...)
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  30. Confidence Reports.Fabrizio Cariani, Paolo Santorio & Alexis Wellwood - manuscript
    We advocate and develop a states-based semantics for both nominal and adjectival confidence reports, as in "Ann is confident/has confidence that it's raining", and their comparatives "Ann is more confident/has more confidence that it's raining than that it's snowing". Other examples of adjectives that can report confidence include "sure" and "certain". Our account adapts Wellwood's account of adjectival comparatives in which the adjectives denote properties of states, and measure functions are introduced compositionally. We further explore the prospects of applying these (...)
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  31. Sensory Measurements: Coordination and Standardization.Ann-Sophie Barwich & Hasok Chang - 2015 - Biological Theory 10 (3):200-211.
    Do sensory measurements deserve the label of “measurement”? We argue that they do. They fit with an epistemological view of measurement held in current philosophy of science, and they face the same kinds of epistemological challenges as physical measurements do: the problem of coordination and the problem of standardization. These problems are addressed through the process of “epistemic iteration,” for all measurements. We also argue for distinguishing the problem of standardization from the problem of coordination. To exemplify our claims, we (...)
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  32. Up the Nose of the Beholder? Aesthetic Perception in Olfaction as a Decision-Making Process.Ann-Sophie Barwich - 2017 - New Ideas in Psychology 47:157-165.
    Is the sense of smell a source of aesthetic perception? Traditional philosophical aesthetics has centered on vision and audition but eliminated smell for its subjective and inherently affective character. This article dismantles the myth that olfaction is an unsophisticated sense. It makes a case for olfactory aesthetics by integrating recent insights in neuroscience with traditional expertise about flavor and fragrance assessment in perfumery and wine tasting. My analysis concerns the importance of observational refinement in aesthetic experience. I argue that the (...)
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  33. Measuring the World: Olfaction as a Process Model of Perception.Ann-Sophie Barwich - 2018 - In John A. Dupre & Daniel Nicholson (eds.), Everything Flows: Towards a Processual Philosophy of Biology. pp. 337-356.
    How much does stimulus input shape perception? The common-sense view is that our perceptions are representations of objects and their features and that the stimulus structures the perceptual object. The problem for this view concerns perceptual biases as responsible for distortions and the subjectivity of perceptual experience. These biases are increasingly studied as constitutive factors of brain processes in recent neuroscience. In neural network models the brain is said to cope with the plethora of sensory information by predicting stimulus regularities (...)
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  34.  59
    Folk Core Beliefs About Color.Pendaran Roberts & Kelly Ann Schmidtke - 2019 - Review of Philosophy and Psychology 10 (4):849-869.
    Johnston famously argued that the colors are, more or less inclusively speaking, dispositions to cause color experiences by arguing that this view best accommodates his five proposed core beliefs about color. Since then, Campbell, Kalderon, Gert, Benbaji, and others, have all engaged with at least some of Johnston’s proposed core beliefs in one way or another. Which propositions are core beliefs is ultimately an empirical matter. We investigate whether Johnston’s proposed core beliefs are, in fact, believed by assessing the agreement/disagreement (...)
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  35. Folk Intuitions About the Causal Theory of Perception.Pendaran Roberts, Keith Allen & Kelly Ann Schmidtke - 2016 - Ergo: An Open Access Journal of Philosophy.
    It is widely held by philosophers not only that there is a causal condition on perception but also that the causal condition is a conceptual truth about perception. One influential line of argument for this claim is based on intuitive responses to a style of thought experiment popularized by Grice. Given the significance of these thought experiments to the literature, it is important to see whether the folk in fact respond to these cases in the way that philosophers assume they (...)
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  36. A Solution for Russellians to a Puzzle About Belief.Sean Crawford - 2004 - Analysis 64 (3):223-29.
    According to Russellianism (or Millianism), the two sentences ‘Ralph believes George Eliot is a novelist’ and ‘Ralph believes Mary Ann Evans is a novelist’ cannot diverge in truth-value, since they express the same proposition. The problem for the Russellian (or Millian) is that a puzzle of Kaplan’s seems to show that they can diverge in truth-value and that therefore, since the Russellian holds that they express the same proposition, the Russellian view is contradictory. I argue that the standard Russellian appeal (...)
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  37. Promoting Coherent Minimum Reporting Guidelines for Biological and Biomedical Investigations: The MIBBI Project.Chris F. Taylor, Dawn Field, Susanna-Assunta Sansone, Jan Aerts, Rolf Apweiler, Michael Ashburner, Catherine A. Ball, Pierre-Alain Binz, Molly Bogue, Tim Booth, Alvis Brazma, Ryan R. Brinkman, Adam Michael Clark, Eric W. Deutsch, Oliver Fiehn, Jennifer Fostel, Peter Ghazal, Frank Gibson, Tanya Gray, Graeme Grimes, John M. Hancock, Nigel W. Hardy, Henning Hermjakob, Randall K. Julian, Matthew Kane, Carsten Kettner, Christopher Kinsinger, Eugene Kolker, Martin Kuiper, Nicolas Le Novere, Jim Leebens-Mack, Suzanna E. Lewis, Phillip Lord, Ann-Marie Mallon, Nishanth Marthandan, Hiroshi Masuya, Ruth McNally, Alexander Mehrle, Norman Morrison, Sandra Orchard, John Quackenbush, James M. Reecy, Donald G. Robertson, Philippe Rocca-Serra, Henry Rodriguez, Heiko Rosenfelder, Javier Santoyo-Lopez, Richard H. Scheuermann, Daniel Schober, Barry Smith & Jason Snape - 2008 - Nature Biotechnology 26 (8):889-896.
    Throughout the biological and biomedical sciences there is a growing need for, prescriptive ‘minimum information’ (MI) checklists specifying the key information to include when reporting experimental results are beginning to find favor with experimentalists, analysts, publishers and funders alike. Such checklists aim to ensure that methods, data, analyses and results are described to a level sufficient to support the unambiguous interpretation, sophisticated search, reanalysis and experimental corroboration and reuse of data sets, facilitating the extraction of maximum value from data sets (...)
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  38. Review of Heal Yourself with Writing.Andrea Montgomery Di Marco - manuscript
    The use of writing or journaling as a tool toward healing is becoming increasingly accepted in the vernacular of healing litanies. Reference books, personal narratives, and research on the effects of writing on healing psychological discomfort are abundant. Heal Yourself with Writing, written by screenwriter Catherine Ann Jones, and published in 2013, won a Nautilus Book Award for 2014. The following review reflects a book that is a well-thought journey through the steps of intentional or focused writing for the express (...)
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  39. Is Captain Kirk a Natural Blonde? Do X-Ray Crystallographers Dream of Electron Clouds? Comparing Model-Based Inferences in Science with Fiction.Ann-Sophie Barwich - 2018 - In Otávio Bueno, George Darby, Steven French & Dean Rickles (eds.), Thinking About Science, Reflecting on Art: Bringing Aesthetics and Philosophy of Science Together. London, UK:
    Scientific models share one central characteristic with fiction: their relation to the physical world is ambiguous. It is often unclear whether an element in a model represents something in the world or presents an artifact of model building. Fiction, too, can resemble our world to varying degrees. However, we assign a different epistemic function to scientific representations. As artifacts of human activity, how are scientific representations allowing us to make inferences about real phenomena? In reply to this concern, philosophers of (...)
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  40. Making Sense of Smell.Barwich Ann-Sophie - 2016 - The Philosophers' Magazine 73 (2):41-47.
    Short piece for The Philosophers' Magazine on why philosophers should pay attention to olfaction.
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  41. Relationalism About Perceptible Properties and the Principle of Charity.Pendaran Roberts & Kelly Ann Schmidtke - 2016 - Synthese 193 (9).
    Color relationalism holds that the colors are constituted by relations to subjects. The introspective rejoinder against this view claims that it is opposed to our phenomenally-informed, pre-theoretic intuitions. The rejoinder seems to be correct about how colors appear when looking at how participants respond to an item about the metaphysical nature of color but not when looking at an item about the ascription of colors. The present article expands the properties investigated to sound and taste and inspects the mentioned asymmetry, (...)
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  42. Introduction to Hypatia Special Issue: ‘‘Transgender Studies and Feminism: Theory, Politics, and Gendered Realities.Talia Bettcher & Ann Garry - 2008 - Hypatia 24 (3):1-10.
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  43. Lay Intuitions About Epistemic Normativity.Pendaran Roberts, James Andow & Kelly Ann Schmitdtke - 2018 - Synthese 195 (7):3267-3287.
    Recent empirical work on non-philosophers’ intuitions about epistemic normativity reveals patterns that cannot be fully accounted for by direct epistemic consequentialism. On the basis of these results, one might picture participants as “epistemic deontologists.” We present the results of two new experiments that support a more nuanced picture. We examine intuitions about guesses and hypotheses, and about beliefs. Our results suggest a two-factor model of intuitions, wherein both consequentialist and non-consequentialist considerations affect participants’ judgments about epistemic permissibility.
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  44. A Puzzle About Belief Updating.Carlo Martini - 2013 - Synthese 190 (15):3149-3160.
    In recent decades much literature has been produced on disagreement; the puzzling conclusion being that epistemic disagreement is, for the most part, either impossible (e.g. Aumann (Ann Stat 4(6):1236–1239, 1976)), or at least easily resolvable (e.g. Elga (Noûs 41(3):478–502, 2007)). In this paper I show that, under certain conditions, an equally puzzling result arises: that is, disagreement cannot be rationally resolved by belief updating. I suggest a solution to the puzzle which makes use of some of the principles of Hintikka’s (...)
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  45. Just Design.Matteo Bianchin & Ann Heylighen - 2018 - Design Studies 54:1-22.
    Inclusive design prescribes addressing the needs of the widest possible audience in order to consider human differences. Taking differences seriously, however, may imply severely restricting “the widest possible audience”. In confronting this paradox, we investigate to what extent Rawls’ theory of justice as fairness applies to design. By converting the paradox into the question of how design can be fair, we show that the demand for equitability shifts from the design output to the design process. We conclude that the two (...)
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  46. Two Kinds of Lawlessness: Plato's Crito.Ann Congleton - 1974 - Political Theory 2 (4):432-446.
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  47. Die Natur der Farben.Fabian Dorsch - 2009 - De Gruyter.
    Farben sind für uns sowohl objektive, als auch phänomenale Eigenschaften. In seinem Buch argumentiert Fabian Dorsch, daß keine ontologische Theorie der Farben diesen beiden Seiten unseres Farbbegriffes gerecht werden k ann. Statt dessen sollten wir akzeptieren, daß letzterer sich auf zwei verschiedene Arten von Eigenschaften bezieht: die repräsentierten Reflektanzeigenschaften von Gegenständen und die qualitativen Eigenschaften unserer Farbwahrnehmungen, die als sinnliche Gegebenheitsweisen ersterer fungieren. Die Natur der Farben gibt einen detaillierten Überblick über die zeitgenössischen philosophischen und naturwissenschaftlichen Theorien der Farben und (...)
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  48. Feminism and Tradition in Aesthetics "Introduction".Carolyn Korsmeyer (ed.) - 1995 - Pennsylvania State University Press.
    Feminism and Tradition in Aesthetics takes a fresh look at the history of aesthetics and at current debates within the philosophy of art by exploring the ways in which gender informs notions of art and creativity, evaluation and interpretation, and concepts of aesthetic value. Multiple intellectual traditions have formed this field, and the discussions herein range from consideration of eighteenth century legacies of ideas about taste, beauty, and sublimity to debates about the relevance of postmodern analyses for feminist aesthetics. Forward (...)
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  49.  61
    Linking Visions: Feminist Bioethics, Human Rights, and the Developing World.Karen L. Baird, María Julia Bertomeu, Martha Chinouya, Donna Dickenson, Michele Harvey-Blankenship, Barbara Ann Hocking, Laura Duhan Kaplan, Jing-Bao Nie, Eileen O'Keefe, Julia Tao Lai Po-wah, Carol Quinn, Arleen L. F. Salles, K. Shanthi, Susana E. Sommer, Rosemarie Tong & Julie Zilberberg - 2004 - Rowman & Littlefield Publishers.
    This collection brings together fourteen contributions by authors from around the globe. Each of the contributions engages with questions about how local and global bioethical issues are made to be comparable, in the hope of redressing basic needs and demands for justice. These works demonstrate the significant conceptual contributions that can be made through feminists' attention to debates in a range of interrelated fields, especially as they formulate appropriate responses to developments in medical technology, global economics, population shifts, and poverty.
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  50. Beyond Business Ethics: An Agenda for the Trustworthy Teachers and Practitioners of Business.Ann Congleton - 2014 - Journal of Business Ethics 119 (2):151-172.
    Societies need markets, so just as trustworthy professionals are needed in fields such as healthcare, law and education, modern societies need trustworthy market managers, including corporate officers and directors. But in its screening of candidates, U.S. corporate business has lagged behind fields such as medicine and law, which in the nineteenth century addressed their need for screening by upgrading professional education and establishing licensing of individual practitioners. Corporate business, by contrast, has been too tolerant of problematic executives, particularly executives of (...)
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