Results for 'Anne M. Treisman'

975 found
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  1. Job Motivation and Its Impact on Job Satisfaction Among Accountants.Arianna Dacanay, Giannah D. V. Gonzales, Carl Xaviery A. Baldonado, Nicolai Renz S. P. Guballa, Hanz S. Marquez, Hazel Anne M. Domingo, Kyle Gian S. Diaz, Denise Iresh S. Catolico, Edward Gabriel Gotis & Jhoselle tus - 2023 - Psychology and Education: A Multidisciplinary Journal 9 (1):412-418.
    Job motivation remains an area of concern among researchers due to the rising issues of poor or lack of motivation among workers. This refers to one’s personal will or drives to perform a task at work. Meanwhile, job satisfaction refers to an employee’s sense of fulfillment with his or her work experience. Therefore, the current study utilized the descriptive- correlational research design to investigate the impact of job motivation on the job satisfaction of accountants. To gather essential data and achieve (...)
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  2. One Goodness, Many Goodnesses.Thomas M. Ward & Anne Jeffrey - 2024 - Religious Studies 2024.
    Some theories of goodness are descriptively rich: they have much to say about what makes things good. Neo-Aristotelian accounts, for instance, detail the various features that make a human being, a dog, a bee good relative to facts about those forms of life. Famously, such theories of relative goodness tend to be comparatively poor: they have little or nothing to say about what makes one kind of being better than another kind. Other theories of goodness—those that take there to be (...)
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  3. SHS Students’ Engagement in Online Synchronous Collaborative Learning Activities: Correlations with Self-efficacy, Peer Social Support, Well-being and Academic Performance.Trisha Mae M. Afable, Jilian Casandra D. Lamberto, Trixia Anne Nicole P. Ng, Ashley Nicole S. Umandap & Myla M. Arcinas - 2022 - International Journal of Multidisciplinary: Applied Business and Education Research 3 (6):1128-1138.
    The pandemic of COVID-19 prompted several paradigm shifts throughout society, including in education. This study aimed to examine the relationships of students' engagement in online synchronous collaborative learning activities (OSCLA) with their self-efficacy (LSE), peer social support (LPSS), state of well-being (SWB), and level of academic performance (LAP). A total of 176 Filipino Grade 12 SHS students, 18 years old and older, from a private educational institution were purposively selected for this study. Data were generated using an online survey. Results (...)
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  4. Developing the Silver Economy and Related Government Resources for Seniors: A Position Paper.Maristella Agosti, Moira Allan, Ágnes Bene, Kathryn L. Braun, Luigi Campanella, Marek Chałas, Cheah Tuck Wing, Dragan Čišić, George Christodoulou, Elísio Manuel de Sousa Costa, Lucija Čok, Jožica Dorniž, Aleksandar Erceg, Marzanna Farnicka, Anna Grabowska, Jože Gričar, Anne-Marie Guillemard, An Hermans, Helen Hirsh Spence, Jan Hively, Paul Irving, Loredana Ivan, Miha Ješe, Isaac Kabelenga, Andrzej Klimczuk, Jasna Kolar Macur, Annigje Kruytbosch, Dušan Luin, Heinrich C. Mayr, Magen Mhaka-Mutepfa, Marian Niedźwiedziński, Gyula Ocskay, Christine O’Kelly, Nancy Papalexandri, Ermira Pirdeni, Tine Radinja, Anja Rebolj, Gregory M. Sadlek, Raymond Saner, Lichia Saner-Yiu, Bernhard Schrefler, Ana Joao Sepúlveda, Giuseppe Stellin, Dušan Šoltés, Adolf Šostar, Paul Timmers, Bojan Tomšič, Ljubomir Trajkovski, Bogusława Urbaniak, Peter Wintlev-Jensen & Valerie Wood-Gaiger - unknown - Developing the Silver Economy and Related Government Resources for Seniors: A Position Paper.
    The precarious rights of senior citizens, especially those who are highly educated and who are expected to counsel and guide the younger generations, has stimulated the creation internationally of advocacy associations and opinion leader groups. The strength of these groups, however, varies from country to country. In some countries, they are supported and are the focus of intense interest; in others, they are practically ignored. For this is reason we believe that the creation of a network of all these associations (...)
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  5. Smoke Detectors Using ANN.Marwan R. M. Al-Rayes & Samy S. Abu-Naser - 2023 - International Journal of Academic Engineering Research (IJAER) 7 (10):1-9.
    Abstract: Smoke detectors are critical devices for early fire detection and life-saving interventions. This research paper explores the application of Artificial Neural Networks (ANNs) in smoke detection systems. The study aims to develop a robust and accurate smoke detection model using ANNs. Surprisingly, the results indicate a 100% accuracy rate, suggesting promising potential for ANNs in enhancing smoke detection technology. However, this paper acknowledges the need for a comprehensive evaluation beyond accuracy. It discusses potential challenges, such as overfitting, dataset size, (...)
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  6. 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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  7.  94
    Anscombe, Anarchism, and Authority.Anne Jeffrey - forthcoming - Ergo.
    Philosophical anarchism, in its strongest form, says that a right to be obeyed would run up against the duty to act autonomously, so there must be no one with a right to be obeyed. More recently, a parallel criticism of moral testimony has been advanced according to which there can be no right to be believed about moral matters because it would lead us to fail in our duty to form our moral beliefs for ourselves, and thus to bear responsibility (...)
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  8. Interpreting Anscombe’s Intention §32FF.Anne Newstead - 2009 - Journal of Philosophical Research 34:157-176.
    G. E. M. Anscombe’s view that agents know what they are doing “without observation” has been met with skepticism and the charge of confusion and falsehood. Simultaneously, some commentators think that Anscombe has captured an important truth about the first-personal character of an agent’s awareness of her actions. This paper attempts an explanation and vindication of Anscombe’s view. The key to the vindication lies in focusing on the role of practical knowledge in an agent’s knowledge of her actions. Few commentators, (...)
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  9. ANN for English Alphabet Prediction.Hamza H. Heriz, Sharief M. Salah, Mohammad Abu Abdu & Qassas Randa - 2016 - International Journal of Academic Pedagogical Research (IJAPR) 11 (2):8-13.
    Abstract: In this paper an Artificial Neural Network (ANN) model, for predicting the Letters from twenty dissimilar fonts for each letter. The character images were, initially, based on twenty dissimilar fonts and each letter inside these twenty fonts was arbitrarily distorted to yield a file of 20,000 distinctive stimuli. Every stimulus was transformed into 16 simple numerical attributes (arithmetical moments and edge amounts) which were then ascended to be suitable into a range of numeral values from 0 to 15. We (...)
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  10. Predicting Tumor Category Using Artificial Neural Networks.Ibrahim M. Nasser & Samy S. Abu-Naser - 2019 - International Journal of Academic Health and Medical Research (IJAHMR) 3 (2):1-7.
    In this paper an Artificial Neural Network (ANN) model, for predicting the category of a tumor was developed and tested. Taking patients’ tests, a number of information gained that influence the classification of the tumor. Such information as age, sex, histologic-type, degree-of-diffe, status of bone, bone-marrow, lung, pleura, peritoneum, liver, brain, skin, neck, supraclavicular, axillar, mediastinum, and abdominal. They were used as input variables for the ANN model. A model based on the Multilayer Perceptron Topology was established and trained using (...)
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  11. (1 other version)Generationer, Relationer Mellan Generationer, Generationspolicy. Ett Mångspråkigt Kompendium.Kurt Lüscher, Andreas Hoff, Andrzej Klimczuk, Giovanni Lamura, Marta Renzi, Paulo de Salles Oliveira, Mariano Sánchez, Gil Viry, Eric Widmer, Ágnes Neményi, Enikő Veress, Cecilia Bjursell, Ann-Kristin Boström, Gražina Rapolienė, Sarmitė Mikulionienė, Sema Oğlak & Ayşe Canatan - 2016 - Universität Konstanz.
    K. Lüscher, M. Sánchez, A. Klimczuk, Generations, intergenerational relationships, generational policy: A multilingual compendium, 12 languages, Universität Konstanz, Konstanz 2016, 300pp.
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  12. Lung Cancer Detection Using Artificial Neural Network.Ibrahim M. Nasser & Samy S. Abu-Naser - 2019 - International Journal of Engineering and Information Systems (IJEAIS) 3 (3):17-23.
    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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  13. (1 other version)Generations, Intergenerational Relationships, Generational Policy: A Multilingual Compendium.Kurt Lüscher, Andreas Hoff, Andrzej Klimczuk, Giovanni Lamura, Marta Renzi, Paulo de Salles Oliveira, Mariano Sánchez, Gil Viry, Eric Widmer, Ágnes Neményi, Enikő Veress, Cecilia Bjursell, Ann-Kristin Boström, Gražina Rapolienė, Sarmitė Mikulionienė, Sema Oğlak & Ayşe Canatan - 2016 - Universität Konstanz.
    K. Lüscher, M. Sánchez, A. Klimczuk, Generations, intergenerational relationships, generational policy: A multilingual compendium, 12 languages, Universität Konstanz, Konstanz 2016, 300pp.
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  14. (1 other version)Generații. Politici Generaționale Și Relații Intergeneraționale. Un Compendiu Multilingvistic.Kurt Lüscher, Andreas Hoff, Andrzej Klimczuk, Giovanni Lamura, Marta Renzi, Paulo de Salles Oliveira, Mariano Sánchez, Gil Viry, Eric Widmer, Ágnes Neményi, Enikő Veress, Cecilia Bjursell, Ann-Kristin Boström, Gražina Rapolienė, Sarmitė Mikulionienė, Sema Oğlak & Ayşe Canatan - 2016 - Universität Konstanz.
    K. Lüscher, M. Sánchez, A. Klimczuk, Generations, intergenerational relationships, generational policy: A multilingual compendium, 12 languages, Universität Konstanz, Konstanz 2016, 300pp.
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  15. Gerações, Relações Intergeracionais, Política Geracional. Um Compêndio Multilíngue.Kurt Lüscher, Andreas Hoff, Andrzej Klimczuk, Giovanni Lamura, Marta Renzi, Paulo de Salles Oliveira, Mariano Sánchez, Gil Viry, Eric Widmer, Ágnes Neményi, Enikő Veress, Cecilia Bjursell, Ann-Kristin Boström, Gražina Rapolienė, Sarmitė Mikulionienė, Sema Oğlak & Ayşe Canatan - 2016 - Universität Konstanz.
    K. Lüscher, M. Sánchez, A. Klimczuk, Generations, intergenerational relationships, generational policy: A multilingual compendium, 12 languages, Universität Konstanz, Konstanz 2016, 300pp.
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  16. (1 other version)Generazioni, Relazioni Intergenerazionali, Politica Generazionale. Un Compendio Multilingue.Kurt Lüscher, Andreas Hoff, Andrzej Klimczuk, Giovanni Lamura, Marta Renzi, Paulo de Salles Oliveira, Mariano Sánchez, Gil Viry, Eric Widmer, Ágnes Neményi, Enikő Veress, Cecilia Bjursell, Ann-Kristin Boström, Gražina Rapolienė, Sarmitė Mikulionienė, Sema Oğlak & Ayşe Canatan - 2016 - Universität Konstanz.
    K. Lüscher, M. Sánchez, A. Klimczuk, Generations, intergenerational relationships, generational policy: A multilingual compendium, 12 languages, Universität Konstanz, Konstanz 2016, 300pp.
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  17. (1 other version)Générations, Relations Intergénérationelles, Politiques de Générations. Un Abrégé Multilingue.Kurt Lüscher, Andreas Hoff, Andrzej Klimczuk, Giovanni Lamura, Marta Renzi, Paulo de Salles Oliveira, Mariano Sánchez, Gil Viry, Eric Widmer, Ágnes Neményi, Enikő Veress, Cecilia Bjursell, Ann-Kristin Boström, Gražina Rapolienė, Sarmitė Mikulionienė, Sema Oğlak & Ayşe Canatan - 2016 - Universität Konstanz.
    K. Lüscher, M. Sánchez, A. Klimczuk, Generations, intergenerational relationships, generational policy: A multilingual compendium, 12 languages, Universität Konstanz, Konstanz 2016, 300pp.
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  18. Kuşaklar, Kuşaklararası Ilişkiler, Kuşak Politikasi. Çok Dilli Bir Rehber.Kurt Lüscher, Andreas Hoff, Andrzej Klimczuk, Giovanni Lamura, Marta Renzi, Paulo de Salles Oliveira, Mariano Sánchez, Gil Viry, Eric Widmer, Ágnes Neményi, Enikő Veress, Cecilia Bjursell, Ann-Kristin Boström, Gražina Rapolienė, Sarmitė Mikulionienė, Sema Oğlak & Ayşe Canatan - 2016 - Universität Konstanz.
    K. Lüscher, M. Sánchez, A. Klimczuk, Generations, intergenerational relationships, generational policy: A multilingual compendium, 12 languages, Universität Konstanz, Konstanz 2016, 300pp.
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  19. Kartos, Kartų Santykiai, Kartų Politika. Daugiakalbis Kompendiumas.Kurt Lüscher, Andreas Hoff, Andrzej Klimczuk, Giovanni Lamura, Marta Renzi, Paulo de Salles Oliveira, Mariano Sánchez, Gil Viry, Eric Widmer, Ágnes Neményi, Enikő Veress, Cecilia Bjursell, Ann-Kristin Boström, Gražina Rapolienė, Sarmitė Mikulionienė, Sema Oğlak & Ayşe Canatan - 2016 - Universität Konstanz.
    K. Lüscher, M. Sánchez, A. Klimczuk, Generations, intergenerational relationships, generational policy: A multilingual compendium, 12 languages, Universität Konstanz, Konstanz 2016, 300pp.
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  20. Nemzedékek, Nemzedékek Közötti Kapcsolatok, Nemzedéki Politika. Többnyelvű Kompendium.Kurt Lüscher, Andreas Hoff, Andrzej Klimczuk, Giovanni Lamura, Marta Renzi, Paulo de Salles Oliveira, Mariano Sánchez, Gil Viry, Eric Widmer, Ágnes Neményi, Enikő Veress, Cecilia Bjursell, Ann-Kristin Boström, Gražina Rapolienė, Sarmitė Mikulionienė, Sema Oğlak & Ayşe Canatan - 2016 - Universität Konstanz.
    K. Lüscher, M. Sánchez, A. Klimczuk, Generations, intergenerational relationships, generational policy: A multilingual compendium, 12 languages, Universität Konstanz, Konstanz 2016, 300pp.
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  21. (1 other version)Pokolenia, Relacje Miȩdzypokoleniowe, Polityka Relacji Miȩdzypokoleniowych. Wielojȩzyczne Kompendium.Kurt Lüscher, Andreas Hoff, Andrzej Klimczuk, Giovanni Lamura, Marta Renzi, Paulo de Salles Oliveira, Mariano Sánchez, Gil Viry, Eric Widmer, Ágnes Neményi, Enikő Veress, Cecilia Bjursell, Ann-Kristin Boström, Gražina Rapolienė, Sarmitė Mikulionienė, Sema Oğlak & Ayşe Canatan - 2016 - Universität Konstanz.
    K. Lüscher, M. Sánchez, A. Klimczuk, Generations, intergenerational relationships, generational policy: A multilingual compendium, 12 languages, Universität Konstanz, Konstanz 2016, 300pp.
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  22. Predicting Whether a Couple is Going to Get Divorced or Not Using Artificial Neural Networks.Ibrahim M. Nasser - 2019 - International Journal of Engineering and Information Systems (IJEAIS) 3 (10):49-55.
    In this paper, an artificial neural network (ANN) model was developed and validated to predict whether a couple is going to get divorced or not. Prediction is done based on some questions that the couple answered, answers of those questions were used as the input to the ANN. The model went through multiple learning-validation cycles until it got 100% accuracy.
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  23. Machine Learning Application to Predict The Quality of Watermelon Using JustNN.Ibrahim M. Nasser - 2019 - International Journal of Engineering and Information Systems (IJEAIS) 3 (10):1-8.
    In this paper, a predictive artificial neural network (ANN) model was developed and validated for the purpose of prediction whether a watermelon is good or bad, the model was developed using JUSTNN software environment. Prediction is done based on some watermelon attributes that are chosen to be input data to the ANN. Attributes like color, density, sugar rate, and some others. The model went through multiple learning-validation cycles until the error is zero, so the model is 100% percent accurate for (...)
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  24. m-Reading: Fiction reading from mobile phones.Anezka Kuzmicova, Theresa Schilhab & Michael Burke - 2018 - Convergence: The International Journal of Research Into New Media Technology:1–17.
    Mobile phones are reportedly the most rapidly expanding e-reading device worldwide. However, the embodied, cognitive and affective implications of smartphone-supported fiction reading for leisure (m-reading) have yet to be investigated empirically. Revisiting the theoretical work of digitization scholar Anne Mangen, we argue that the digital reading experience is not only contingent on patterns of embodied reader–device interaction (Mangen, 2008 and later) but also embedded in the immediate environment and broader situational context. We call this the situation constraint. Its application (...)
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  25. Missing Links, A Book in Ten Sessions.Lucas Ferraço Nassif - 2023 - Berlin/London: Barakunan.
    Missing Links, A Book in Ten Sessions received the Award from the Association of Moving Image Researchers [AIM] for Best Monograph released in 2023. -/- Missing Links, A Book in Ten Sessions is Lucas Ferraço Nassif's elaboration on the work of art in Gilles Deleuze and Félix Guattari through description, time, cosmology, and desire production. The films of Chantal Akerman, alongside Anne Carson and Ludwig Wittgenstein, are his main objects of study. -/- //The book is available, open access.// -/- (...)
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  26. 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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  27. Gametogênese Animal: Espermatogênese e Ovogênese.Emanuel Isaque Cordeiro da Silva - manuscript
    GAMETOGÊNESE -/- Emanuel Isaque Cordeiro da Silva Instituto Agronômico de Pernambuco Departamento de Zootecnia – UFRPE Embrapa Semiárido -/- • _____OBJETIVO -/- Os estudantes bem informados, estão a buscando conhecimento a todo momento. O estudante de Veterinária e Zootecnia, sabe que a Reprodução é uma área de primordial importância para sua carreira. Logo, o conhecimento da mesma torna-se indispensável. No primeiro trabalho da série fisiologia reprodutiva dos animais domésticos, foi abordado de forma clara, didática e objetiva os mecanismos de diferenciação (...)
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  28. Minding the Future: Artificial Intelligence, Philosophical Visions and Science Fiction.Barry Francis Dainton, Will Slocombe & Attila Tanyi (eds.) - 2021 - Springer.
    Bringing together literary scholars, computer scientists, ethicists, philosophers of mind, and scholars from affiliated disciplines, this collection of essays offers important and timely insights into the pasts, presents, and, above all, possible futures of Artificial Intelligence. This book covers topics such as ethics and morality, identity and selfhood, and broader issues about AI, addressing questions about the individual, social, and existential impacts of such technologies. Through the works of science fiction authors such as Isaac Asimov, Stanislaw Lem, Ann Leckie, Iain (...)
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  29. Desenvolvimento Embrionário e Diferenciação Sexual nos Animais Domésticos.Emanuel Isaque Cordeiro da Silva - manuscript
    DESENVOLVIMENTO EMBRIONÁRIO E DIFERENCIAÇÃO SEXUAL -/- E. I. C. da Silva Departamento de Agropecuária – IFPE Campus Belo Jardim Departamento de Zootecnia – UFRPE sede -/- 1.1 INTRODUÇÃO O sexo foi definido como a soma das diferenças morfológicas, fisiológicas e psicológicas que distinguem o macho da fêmea permitindo a reprodução sexual e assegurando a continuidade das espécies. Os processos de diferenciação sexual são realizados durante o desenvolvimento embrionário, onde ocorre a proliferação, diferenciação e maturação das células germinativas e primordiais, precursoras (...)
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  30. The Case for Comparability.Cian Dorr, Jacob M. Nebel & Jake Zuehl - 2023 - Noûs 57 (2):414-453.
    We argue that all comparative expressions in natural language obey a principle that we call Comparability: if x and y are at least as F as themselves, then either x is at least as F as y or y is at least as F as x. This principle has been widely rejected among philosophers, especially by ethicists, and its falsity has been claimed to have important normative implications. We argue that Comparability is needed to explain the goodness of several patterns (...)
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  31.  86
    On genre as social action, uptake, and modest grand theory.Sune Auken - 2020 - Discourse and Writing/Rédactologie 30:161-171.
    Carolyn Miller’s (1984) “Genre as Social Action,” the primary topic—or target—of Anne Freadman’s brilliant and thought-provoking article, holds a special place in genre research. If I pick up an unknown piece of research on genre, the first thing I do is look for Miller’s article in the bibliography. If it is not there, the text in my hand will probably be of little of value to my work for lack of orientation. Moreover, as Freadman (2012) notes, convention in genre (...)
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  32. INDUSTRY-SPECIFIC INTELLIGENT FIRE MANAGEMENT SYSTEM.M. Arul Selvan - 2023 - Journal of Science Technology and Research (JSTAR) 4 (1):247-259.
    The proposed model in this paper employs different integrated detectors, such as heat, smoke, and flame. The signals from those detectors go through the system algorithm to check the fire's potentiality and then broadcast the predicted result to various parties using GSM modem associated with the GSM network system. The system uses various sensors to detect fire, smoke, and gas, then transmits the message using GSM module. After the message, send by the module the help arrives in 15 minutes. The (...)
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  33. RAINFALL DETECTION USING DEEP LEARNING TECHNIQUE.M. Arul Selvan & S. Miruna Joe Amali - 2024 - Journal of Science Technology and Research 5 (1):37-42.
    Rainfall prediction is one of the challenging tasks in weather forecasting. Accurate and timely rainfall prediction can be very helpful to take effective security measures in dvance regarding: on-going construction projects, transportation activities, agricultural tasks, flight operations and flood situation, etc. Data mining techniques can effectively predict the rainfall by extracting the hidden patterns among available features of past weather data. This research contributes by providing a critical analysis and review of latest data mining techniques, used for rainfall prediction. In (...)
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  34. Totalism without Repugnance.Jacob M. Nebel - 2022 - In Jeff McMahan, Timothy Campbell, Ketan Ramakrishnan & Jimmy Goodrich, Ethics and Existence: The Legacy of Derek Parfit. New York, NY: Oxford University Press. pp. 200-231.
    Totalism is the view that one distribution of well-being is better than another just in case the one contains a greater sum of well-being than the other. Many philosophers, following Parfit, reject totalism on the grounds that it entails the repugnant conclusion: that, for any number of excellent lives, there is some number of lives that are barely worth living whose existence would be better. This paper develops a theory of welfare aggregation—the lexical-threshold view—that allows totalism to avoid the repugnant (...)
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  35. Gender-Affirmation and Loving Attention.E. M. Hernandez - 2021 - Hypatia 36 (4):619-635.
    In this article, I examine the moral dimensions of gender affirmation. I argue that the moral value of gender affirmation is rooted in what Iris Murdoch called loving attention. Loving attention is central to the moral value of gender affirmation because such affirmation is otherwise too fragile or insincere to have such value. Moral reasons to engage in acts that gender affirm derive from the commitment to give and express loving attention to trans people as a way of challenging their (...)
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  36. Innovative Approaches in Cardiovascular Disease Prediction Through Machine Learning Optimization.M. Arul Selvan - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):350-359.
    Cardiovascular diseases (CVD) represent a significant cause of morbidity and mortality worldwide, necessitating early detection for effective intervention. This research explores the application of machine learning (ML) algorithms in predicting cardiovascular diseases with enhanced accuracy by integrating optimization techniques. By leveraging data-driven approaches, ML models can analyze vast datasets, identifying patterns and risk factors that traditional methods might overlook. This study focuses on implementing various ML algorithms, such as Decision Trees, Random Forest, Support Vector Machines, and Neural Networks, optimized through (...)
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  37. Categories and foundational ontology: A medieval tutorial.Luis M. Augusto - 2022 - Journal of Knowledge Structures and Systems 3 (1):1-56.
    Foundational ontologies, central constructs in ontological investigations and engineering alike, are based on ontological categories. Firstly proposed by Aristotle as the very ur- elements from which the whole of reality can be derived, they are not easy to identify, let alone partition and/or hierarchize; in particular, the question of their number poses serious challenges. The late medieval philosopher Dietrich of Freiberg wrote around 1286 a tutorial that can help us today with this exceedingly difficult task. In this paper, I discuss (...)
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  38. Bridging mainstream and formal ontology: A causality-based upper ontology in Dietrich of Freiberg.Luis M. Augusto - 2021 - Journal of Knowledge Structures and Systems 2 (2):35.
    Ontologies are some of the most central constructs in today's large plethora of knowledge technologies, namely in the context of the semantic web. As their coinage indicates, they are direct heirs to the ontological investigations in the long Western philosophical tradition, but it is not easy to make bridges between them. Contemporary ontological commitments often take causality as a central aspect for the ur-segregation of entities, especially in scientific upper ontologies; theories of causality and philosophical ontological investigations often go hand-in-hand, (...)
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  39. Utils and Shmutils.Jacob M. Nebel - 2021 - Ethics 131 (3):571-599.
    Matthew Adler's Measuring Social Welfare is an introduction to the social welfare function (SWF) methodology. This essay questions some ideas at the core of the SWF methodology having to do with the relation between the SWF and the measure of well-being. The facts about individual well-being do not single out a particular scale on which well-being must be measured. As with physical quantities, there are multiple scales that can be used to represent the same information about well-being; no one scale (...)
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  40. Are Algorithms Value-Free?Gabbrielle M. Johnson - 2023 - Journal Moral Philosophy 21 (1-2):1-35.
    As inductive decision-making procedures, the inferences made by machine learning programs are subject to underdetermination by evidence and bear inductive risk. One strategy for overcoming these challenges is guided by a presumption in philosophy of science that inductive inferences can and should be value-free. Applied to machine learning programs, the strategy assumes that the influence of values is restricted to data and decision outcomes, thereby omitting internal value-laden design choice points. In this paper, I apply arguments from feminist philosophy of (...)
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  41. PHISHING CONTENT CLASSIFICATION USING DYNAMIC WEIGHTING AND GENETIC RANKING OPTIMIZATION ALGORITHM.M. Arul Selvan - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):471-485.
    Phishing attacks remain one of the most prevalent cybersecurity threats, affecting individuals and organizations globally. The rapid evolution of phishing techniques necessitates more sophisticated detection and classification methods. In this paper, we propose a novel approach to phishing content classification using a Genetic Ranking Optimization Algorithm (GROA), combined with dynamic weighting, to improve the accuracy and ranking of phishing versus legitimate content. Our method leverages features such as URL structure, email content analysis, and user behavior patterns to enhance the detection (...)
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  42. The ontology of words: Realism, nominalism, and eliminativism.J. T. M. Miller - 2020 - Philosophy Compass 15 (7):e12691.
    What are words? What makes two token words tokens of the same word-type? Are words abstract entities, or are they (merely) collections of tokens? The ontology of words tries to provide answers to these, and related questions. This article provides an overview of some of the most prominent views proposed in the literature, with a particular focus on the debate between type-realist, nominalist, and eliminativist ontologies of words.
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  43. Rank-Weighted Utilitarianism and the Veil of Ignorance.Jacob M. Nebel - 2020 - Ethics 131 (1):87-106.
    Lara Buchak argues for a version of rank-weighted utilitarianism that assigns greater weight to the interests of the worse off. She argues that our distributive principles should be derived from the preferences of rational individuals behind a veil of ignorance, who ought to be risk averse. I argue that Buchak’s appeal to the veil of ignorance leads to a particular way of extending rank-weighted utilitarianism to the evaluation of uncertain prospects. This method recommends choices that violate the unanimous preferences of (...)
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  44. Transforming Consumer Behavior Analysis with Cutting-Edge Machine Learning.M. Arul Selvan - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):360-368.
    The research outlines a workflow that incorporates data collection, preprocessing, model training, and optimization. Real-world datasets from retail and e-commerce sectors are utilized to validate the proposed methodology, showcasing substantial improvements in model performance. The results indicate that optimized models not only provide better predictions of consumer behaviour but also enhance customer segmentation and targeting strategies. The study concludes with recommendations for future research, including the exploration of hybrid optimization techniques and the application of these methods in real-time analytics.
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  45. SVM-Enhanced Intrusion Detection System for Effective Cyber Attack Identification and Mitigation.M. Arul Selvan - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):397-403.
    The ever-evolving landscape of cyber threats necessitates robust and adaptable intrusion detection systems (IDS) capable of identifying both known and emerging attacks. Traditional IDS models often struggle with detecting novel threats, leading to significant security vulnerabilities. This paper proposes an optimized intrusion detection model using Support Vector Machine (SVM) algorithms tailored to detect known and innovative cyberattacks with high accuracy and efficiency. The model integrates feature selection and dimensionality reduction techniques to enhance detection performance while reducing computational overhead. By leveraging (...)
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  46. IoT-Integrated Smart Home Technologies with Augmented Reality for Improved User Experience.M. Arul Selvan - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):389-394.
    The paper also discusses the technical architecture, including the network protocols, data management strategies, and user interface design considerations necessary to implement such a system. Additionally, it addresses the challenges related to data security, privacy, and system interoperability. Finally, the paper outlines potential future enhancements, such as the incorporation of AI-driven predictive analytics and advanced AR features, to further elevate the smart home experience.
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  47. Deductive Computing over Knowledge Bases: Prolog and Datalog.Luis M. Augusto - 2024 - Journal of Knowledge Structures and Systems 5 (1):1-62.
    Knowledge representation (KR) is actually more than representation: It involves also inference, namely inference of “new” knowledge, i.e. new facts. Logic programming is a suitable KR medium, but more often than not discussions on this programming paradigm focus on aspects other than KR. In this paper, I elaborate on the general theory of logic programming and give the essentials of two of its main implementations, to wit, Prolog and Datalog, from the viewpoint of deductive computing over knowledge bases, which includes (...)
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  48. Deep Learning Techniques for Comprehensive Emotion Recognition and Behavioral Regulation.M. Arul Selvan - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):383-389.
    Emotion detection and management have emerged as pivotal areas in humancomputer interaction, offering potential applications in healthcare, entertainment, and customer service. This study explores the use of deep learning (DL) models to enhance emotion recognition accuracy and enable effective emotion regulation mechanisms. By leveraging large datasets of facial expressions, voice tones, and physiological signals, we train deep neural networks to recognize a wide array of emotions with high precision. The proposed system integrates emotion recognition with adaptive management strategies that provide (...)
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  49. Diagnosis of Pneumonia Using Deep Learning.Alaa M. A. Barhoom & Samy S. Abu-Naser - 2022 - International Journal of Academic Engineering Research (IJAER) 6 (2):48-68.
    Artificial intelligence (AI) is an area of computer science that emphasizes the creation of intelligent machines or software that work and react like humans. Some of the activities computers with artificial intelligence are designed for include, Speech, recognition, Learning, Planning and Problem solving. Deep learning is a collection of algorithms used in machine learning, It is part of a broad family of methods used for machine learning that are based on learning representations of data. Deep learning is a technique used (...)
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  50. Robust Cyber Attack Detection with Support Vector Machines: Tackling Both Established and Novel Threats.M. Arul Selvan - 2021 - Journal of Science Technology and Research (JSTAR) 2 (1):160-165.
    The proposed IDS model is aimed at detecting network intrusions by classifying all the packet traffic in the network as benign or malicious classes. The Canadian Institute for Cyber security Intrusion Detection System (CICIDS2017) dataset has been used to train and validate the proposed model. The model has been evaluated in terms of the overall accuracy, attack detection rate, false alarm rate, and training overhead. DDOS attacks based on Canadian Institute for Cyber security Intrusion Detection System (KDD Cup 99) dataset (...)
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