Results for 'Brain-Based Learning'

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  1. Scientism, Philosophy and Brain-Based Learning.Gregory M. Nixon - 2013 - Northwest Journal of Teacher Education 11 (1):113-144.
    [This is an edited and improved version of "You Are Not Your Brain: Against 'Teaching to the Brain'" previously published in *Review of Higher Education and Self-Learning* 5(15), Summer 2012.] Since educators are always looking for ways to improve their practice, and since empirical science is now accepted in our worldview as the final arbiter of truth, it is no surprise they have been lured toward cognitive neuroscience in hopes that discovering how the brain learns will (...)
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  2. You Are Not Your Brain: Against 'Teaching to the Brain'.Gregory M. Nixon - 2012 - Review of Higher Education and Self-Learning 5 (15):69-83.
    Since educators are always looking for ways to improve their practice, and since empirical science is now accepted in our worldview as the final arbiter of truth, it is no surprise they have been lured toward cognitive neuroscience in hopes that discovering how the brain learns will provide a nutshell explanation for student learning in general. I argue that identifying the person with the brain is scientism (not science), that the brain is not the person, and (...)
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  3. Brain-Inspired Conscious Computing Architecture.Wlodzislaw Duch - 2005 - Journal of Mind and Behavior 26 (1-2):1-22.
    What type of artificial systems will claim to be conscious and will claim to experience qualia? The ability to comment upon physical states of a brain-like dynamical system coupled with its environment seems to be sufficient to make claims. The flow of internal states in such systems, guided and limited by associative memory, is similar to the stream of consciousness. A specific architecture of an artificial system, termed articon, is introduced that by its very design has to claim being (...)
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  4.  33
    Group Argumentation Development Through Philosophical Dialogues for Persons with Acquired Brain Injuries.Ylva Backman, Teodor Gardelli, Viktor Gardelli & Caroline Strömberg - 2020 - International Journal of Disability, Development and Education 67 (1):107-123.
    The high prevalence of brain injury incidents in adolescence and adulthood demands effective models for re-learning lost cognitive abilities. Impairment in brain injury survivors’ higher-level cognitive functions is common and a negative predictor for long-term outcome. We conducted two small-scale interventions (N = 12; 33.33% female) with persons with acquired brain injuries in two municipalities in Sweden. Age ranged from 17 to 65 years (M = 51.17, SD = 14.53). The interventions were dialogic, inquiry-based, and (...)
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  5. Punishment and Psychopathy: A Case-Control Functional MRI Investigation of Reinforcement Learning in Violent Antisocial Personality Disordered Men.Sarah Gregory, R. James Blair, Dominic Ffytche, Andrew Simmons, Veena Kumari, Sheilagh Hodgins & Nigel Blackwood - 2014 - Lancet Psychiatry 2:153–160.
    Background Men with antisocial personality disorder show lifelong abnormalities in adaptive decision making guided by the weighing up of reward and punishment information. Among men with antisocial personality disorder, modifi cation of the behaviour of those with additional diagnoses of psychopathy seems particularly resistant to punishment. Methods We did a case-control functional MRI (fMRI) study in 50 men, of whom 12 were violent off enders with antisocial personality disorder and psychopathy, 20 were violent off enders with antisocial personality disorder but (...)
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  6. Apple Fruits Classification Using Deep Learning.Shawwa Mohammad - 2020 - International Journal of Academic Engineering Research (IJAER) 3 (12):1-6.
    Apple is a plant species that follows the apple genus, which is a fruit because it contains seeds of the pink family. It is one of the most fruit trees in terms of agriculture. The apple tree is small in length from 3 to 12 meters. Several recent studies have shown many health benefits of apples. It helps with the strengthening of the brain, heart, and stomach. It is used in the treatment of joint pain and limberness. It is (...)
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  7.  10
    Game Technologies to Assist Learning of Communication Skills in Dialogic Settings for Persons with Aphasia.Ylva Backman, Viktor Gardelli & Peter Parnes - 2021 - International Journal of Emerging Technologies in Learning 16 (3):190-205.
    Persons with aphasia suffer from a loss of communication ability as a consequence of a brain injury. A small strand of research indicates effec- tiveness of dialogic interventions for communication development for persons with aphasia, but a vast amount of research studies shows its effectiveness for other target groups. In this paper, we describe the main parts of the hitherto technological development of an application named Dialogica that is (i) aimed at facilitating increased communicative participation in dialogic settings for (...)
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  8. Classification of Apple Fruits by Deep Learning.Mohammed O. Al-Shawwa & Samy S. Abu-Naser - 2020 - International Journal of Academic Engineering Research (IJAER) 3 (12):1-7.
    Abstract: Apple is a plant species that follows the apple genus, which is a fruit because it contains seeds of the pink family. It is one of the most fruit trees in terms of agriculture. The apple tree is small in length from 3 to 12 meters. Several recent studies have shown many health benefits of apples. It helps with the strengthening of the brain, heart, and stomach. It is used in the treatment of joint pain and limberness. It (...)
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  9.  45
    Information-Matter Bipolarity of the Human Organism and Its Fundamental Circuits: From Philosophy to Physics/Neurosciences-Based Modeling.Florin Gaiseanu - 2020 - Philosophy Study 10 (2):107-118.
    Starting from a philosophical perspective, which states that the living structures are actually a combination between matter and information, this article presents the results on an analysis of the bipolar information-matter structure of the human organism, distinguishing three fundamental circuits for its survival, which demonstrates and supports this statement, as a base for further development of the informational model of consciousness to a general informational model of the human organism. For this, it was examined the Informational System of the Human (...)
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  10. Artificial Intelligence in Life Extension: From Deep Learning to Superintelligence.Alexey Turchin, Denkenberger David, Zhila Alice, Markov Sergey & Batin Mikhail - 2017 - Informatica 41:401.
    In this paper, we focus on the most efficacious AI applications for life extension and anti-aging at three expected stages of AI development: narrow AI, AGI and superintelligence. First, we overview the existing research and commercial work performed by a select number of startups and academic projects. We find that at the current stage of “narrow” AI, the most promising areas for life extension are geroprotector-combination discovery, detection of aging biomarkers, and personalized anti-aging therapy. These advances could help currently living (...)
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  11. 'Techno-Risk - The Perils of Learning and Sharing Everything' From a Criminal Information Sharing Perspective.John Sliter - manuscript
    The author has extensive law enforcement experience and the paper is intended to provoke thought on the use of technology as it pertains to information sharing between the police and the private sector. -/- As the world edges closer and closer to the convergence of man and machine, the human capacity to retrieve information is increasing by leaps and bounds. We are on the verge of knowing everything and anything there is to know, and literally in the blink of an (...)
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  12. Is Problem-Based Learning Superior to Direct Instruction.Brent Silby - 2013 - Journal of Education.
    In this essay I argue that theorists such as Kohn and Mitra have been too hasty in pronouncing the superiority of problem-based learning over direct instruction.
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  13. The Influence Of Implementation Brain-Friendly Learning Through The Whole Brain Teaching To Students’ Response and Creative Character In Learning Mathematics.Widodo Winarso & Siti Asri Karimah - 2017
    The purpose of this study was to determine whether the application of learning brain-friendly through the whole brain teaching a positive effect on the character of creative students, to study the response of the students, and to determine whether the students' response to the application of learning brain-friendly through the whole brain teaching positively correlated with the character of creative students in mathematics. The research method used is quantitative. The instruments used are student questionnaire (...)
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  14. THE INFLUENCE OF IMPLEMENTATION BRAIN-FRIENDLY LEARNING THROUGH THE WHOLE BRAIN TEACHING TO STUDENTS’ RESPONSE AND CREATIVE CHARACTER IN LEARNING MATHEMATICS.Widodo Winarso & Siti Asri Karimah - 2017 - Jurnal Pendidikan Dan Pengajaran 50 (1):10-19.
    his study aims to determine whether the application of brain-friendly learning through whole brain teaching gives a positive effect on the creative character of students, to know the response of the students against the application of brain-friendly learning through whole brain teaching, and to find out if the student response against the application of brain-friendly learning through whole brain teaching correlates positively with the creative character of students in learning mathematics. (...)
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  15. The Comparative Advantages of Brain-Based Lie Detection: The P300 Concealed Information Test and Pre-Trial Bargaining.John Danaher - 2015 - International Journal of Evidence and Proof 19 (1).
    The lie detector test has long been treated with suspicion by the law. Recently, several authors have called this suspicion into question. They argue that the lie detector test may have considerable forensic benefits, particularly if we move past the classic, false-positive prone, autonomic nervous system-based (ANS-based) control question test, to the more reliable, brain-based, concealed information test. These authors typically rely on a “comparative advantage” argument to make their case. According to this argument, we should (...)
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  16. The Phenomenology of Deep Brain Stimulation-Induced Changes in Obsessive-Compulsive Disorder Patients: An Enactive Affordance-Based Model.Sanneke de Haan, Erik Rietveld, Martin Stokhof & Damiaan Denys - 2013 - Frontiers in Human Neuroscience 7:1-14.
    People suffering from Obsessive-Compulsive Disorder (OCD) do things they do not want to do, and/or they think things they do not want to think. In about 10 percent of OCD patients, none of the available treatment options is effective. A small group of these patients is currently being treated with deep brain stimulation (DBS). Deep brain stimulation involves the implantation of electrodes in the brain. These electrodes give a continuous electrical pulse to the brain area in (...)
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  17. Self and Others in Team-Based Learning: Acquiring Teamwork Skills for Business.Michela Betta - 2015 - Journal of Education for Business:1-6.
    Team-based learning (TBL) was applied within a third-year unit of study about ethics and management with the aim of enhancing students’ teamwork skills. A survey used to collect students’ opinions about their experience with TBL provided insights about how TBL helped students to develop an appreciation for teamwork and team collaboration. The team skills acquired through TBL could strengthen job readiness for business.
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  18.  84
    Information Based Hierarchical Brain Organization/Evolution From the Perspective of the Informational Model of Consciousness.Florin Gaiseanu - 2020 - Archives in Neurology and Neuroscience 7 (5):1-9.
    Introduction: This article discusses the brain hierarchical organization/evolution as a consequence of the information-induced brain development, from the perspective of the Informational Model of Consciousness. Analysis: In the frame of the Informational Model of Consciousness, a detailed info-neural analysis ispresented, concerning the specific properties/functions of the informational system of the human body composed by the Center of Acquisition and Storing of Information, Center of Decision and Command, Info-Emotional Center, Maintenance Informational System, Genetic Transmission System, Info Genetic Generator and (...)
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  19. Deep Brain Stimulation, Authenticity and Value.Pugh Jonathan, Maslen Hannah & Savulescu Julian - 2017 - Cambridge Quarterly of Healthcare Ethics 26 (4):640-657.
    Deep brain stimulation has been of considerable interest to bioethicists, in large part because of the effects that the intervention can occasionally have on central features of the recipient’s personality. These effects raise questions regarding the philosophical concept of authenticity. In this article, we expand on our earlier work on the concept of authenticity in the context of deep brain stimulation by developing a diachronic, value-based account of authenticity. Our account draws on both existentialist and essentialist approaches (...)
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  20.  32
    Are Emotional States Based in the Brain? A Critique of Affective Brainocentrism From a Physiological Perspective.Giovanna Colombetti & Eder Zavala - 2019 - Biology and Philosophy 34 (5):45.
    We call affective brainocentrism the tendency to privilege the brain over other parts of the organism when defining or explaining emotions. We distinguish two versions of this tendency. According to brain-sufficient, emotional states are entirely realized by brain processes. According to brain-master, emotional states are realized by both brain and bodily processes, but the latter are entirely driven by the brain: the brain is the master regulator of bodily processes. We argue that both (...)
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  21. The Transition to Experiencing: II. The Evolution of Associative Learning Based on Feelings.Simona Ginsburg & Eva Jablonka - 2007 - Biological Theory 2 (3):231-243.
    We discuss the evolutionary transition from animals with limited experiencing to animals with unlimited experiencing and basic consciousness. This transition was, we suggest, intimately linked with the evolution of associative learning and with flexible reward systems based on, and modifiable by, learning. During associative learning, new pathways relating stimuli and effects are formed within a highly integrated and continuously active nervous system. We argue that the memory traces left by such new stimulus-effect relations form dynamic, flexible, (...)
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  22. Doctors with Borders? An Authority-Based Approach to the Brain Drain.Alfonso Donoso & Alejandra Mancilla - 2017 - South African Journal of Philosophy 36 (1):69-77.
    According to the brain drain argument, there are good reasons for states to limit the exit of their skilled workers (more specifically, healthcare workers), because of the negative impacts this type of migration has for other members of the community from which they migrate. Some theorists criticise this argument as illiberal, while others support it and ground a duty to stay of the skilled workers on rather vague concepts like patriotic virtue, or the legitimate expectations of their state and (...)
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  23. Image-Based Tomato Leaves Diseases Detection Using Deep Learning.Belal A. M. Ashqar & Samy S. Abu-Naser - 2019 - International Journal of Academic Engineering Research (IJAER) 2 (12):10-16.
    : Crop diseases are a key danger for food security, but their speedy identification still difficult in many portions of the world because of the lack of the essential infrastructure. The mixture of increasing worldwide smartphone dispersion and current advances in computer vision made conceivable by deep learning has cemented the way for smartphone-assisted disease identification. Using a public dataset of 9000 images of infected and healthy Tomato leaves collected under controlled conditions, we trained a deep convolutional neural network (...)
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  24. Psychopower and Ordinary Madness: Reticulated Dividuals in Cognitive Capitalism.Ekin Erkan - 2019 - Cosmos and History 15 (1):214-241.
    Despite the seemingly neutral vantage of using nature for widely-distributed computational purposes, neither post-biological nor post-humanist teleology simply concludes with the real "end of nature" as entailed in the loss of the specific ontological status embedded in the identifier "natural." As evinced by the ecological crises of the Anthropocene—of which the 2019 Brazil Amazon rainforest fires are only the most recent—our epoch has transfixed the “natural order" and imposed entropic artificial integration, producing living species that become “anoetic,” made to serve (...)
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  25. Distributed Learning: Educating and Assessing Extended Cognitive Systems.Richard Heersmink & Simon Knight - 2018 - Philosophical Psychology 31 (6):969-990.
    Extended and distributed cognition theories argue that human cognitive systems sometimes include non-biological objects. On these views, the physical supervenience base of cognitive systems is thus not the biological brain or even the embodied organism, but an organism-plus-artifacts. In this paper, we provide a novel account of the implications of these views for learning, education, and assessment. We start by conceptualising how we learn to assemble extended cognitive systems by internalising cultural norms and practices. Having a better grip (...)
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  26.  33
    Info-Relational Cognitive Operability of the Posterior Cingulate Cortex According to the Informational Model of Consciousness.Florin Gaiseanu - 2020 - International Journal of Psychological and Brain Sciences 5 (4):61-68.
    Based on the analysis of the accumulated experimental data and on the informational concepts of the Informational Model of Consciousness (IMC), in this article is presented an informational modeling of the operability of the posterior cingulate cortex (PCC). Examination of the experimental results obtained with the modern non-destructive, high spatial resolution investigation tools to study the functional characteristics of the PCC and associate metabolic processes, shows mainly that this is involved in the large scale default mode network (DMN), composed (...)
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  27. Effects of Cloud-based M-learning on Student Motivation and Creative Performance: A Case Study on Computer illustration Course.I.-Fan Tsai - unknown
    This study was conducted to explore the effects of cloud-based m- learning on students’ motivation and creative performance in computer illustration course. Variables of motivation, creative behavior, creative process and creative product were conducted to understand the situations, differences, and the predictive power cloud-based m-learning had in creative performance. A nonequivalent pretest–posttest design was adopted, and 123 university students from Taipei City, Taiwan,were recruited as research participants in the study during 10-weeks experiment. They were asked to (...)
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  28. Learning Networks and Connective Knowledge.Stephen Downes - 2010 - In Harrison Hao Yang & Steve Chi-Yin Yuen (eds.), Collective Intelligence and E-Learning 2.0: Implications of Web-Based Communities and Networking. IGI Global.
    The purpose of this chapter is to outline some of the thinking behind new e-learning technology, including e-portfolios and personal learning environments. Part of this thinking is centered around the theory of connectivism, which asserts that knowledge - and therefore the learning of knowledge - is distributive, that is, not located in any given place (and therefore not 'transferred' or 'transacted' per se) but rather consists of the network of connections formed from experience and interactions with a (...)
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  29. The Brain's 'New' Science: Psychology, Neurophysiology, and Constraint.Gary Hatfield - 2000 - Philosophy of Science 67 (3):388-404.
    There is a strong philosophical intuition that direct study of the brain can and will constrain the development of psychological theory. When this intuition is tested against case studies on the neurophysiology and psychology of perception and memory, it turns out that psychology has led the way toward knowledge of neurophysiology. An abstract argument is developed to show that psychology can and must lead the way in neuroscientific study of mental function. The opposing intuition is based on mainly (...)
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  30. Agent-Based Computational Economics: A Constructive Approach to Economic Theory.Leigh Tesfatsion - 2006 - In Leigh Tesfatsion & Kenneth L. Judd (eds.), Handbook of Computational Economics, Volume 2: Agent-Based Computational Economics. Elsevier.
    Economies are complicated systems encompassing micro behaviors, interaction patterns, and global regularities. Whether partial or general in scope, studies of economic systems must consider how to handle difficult real-world aspects such as asymmetric information, imperfect competition, strategic interaction, collective learning, and the possibility of multiple equilibria. Recent advances in analytical and computational tools are permitting new approaches to the quantitative study of these aspects. One such approach is Agent-based Computational Economics (ACE), the computational study of economic processes modeled (...)
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  31. Brain Self-Regulation in Criminal Psychopaths.Lilian Konicar, Ralf Veit, Hedwig Eisenbarth, Beatrix Barth, Paolo Tonin, Ute Strehl & Niels Birbaumer - 2015 - Nature: Scientific Reports 5:1-7.
    Psychopathic individuals are characterized by impaired affective processing, impulsivity, sensation-seeking, poor planning skills and heightened aggressiveness with poor self-regulation. Based on brain self-regulation studies using neurofeedback of Slow Cortical Potentials (SCPs) in disorders associated with a dysregulation of cortical activity thresholds and evidence of deficient cortical functioning in psychopathy, a neurobiological approach seems to be promising in the treatment of psychopathy. The results of our intensive brain regulation intervention demonstrate, that psychopathic offenders are able to gain control (...)
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  32. Empiricism Without Magic: Transformational Abstraction in Deep Convolutional Neural Networks.Cameron Buckner - 2018 - Synthese (12):1-34.
    In artificial intelligence, recent research has demonstrated the remarkable potential of Deep Convolutional Neural Networks (DCNNs), which seem to exceed state-of-the-art performance in new domains weekly, especially on the sorts of very difficult perceptual discrimination tasks that skeptics thought would remain beyond the reach of artificial intelligence. However, it has proven difficult to explain why DCNNs perform so well. In philosophy of mind, empiricists have long suggested that complex cognition is based on information derived from sensory experience, often appealing (...)
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  33. Why Think That the Brain is Not a Computer?Marcin Miłkowski - 2016 - APA Newsletter on Philosophy and Computers 16 (2):22-28.
    In this paper, I review the objections against the claim that brains are computers, or, to be precise, information-processing mechanisms. By showing that practically all the popular objections are either based on uncharitable interpretation of the claim, or simply wrong, I argue that the claim is likely to be true, relevant to contemporary cognitive (neuro)science, and non-trivial.
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  34. A Defense of Brain Death.Nada Gligorov - 2016 - Neuroethics 9 (2):119-127.
    In 1959 two French neurologists, Pierre Mollaret and Maurice Goullon, coined the term coma dépassé to designate a state beyond coma. In this state, patients are not only permanently unconscious; they lack the endogenous drive to breathe, as well as brainstem reflexes, indicating that most of their brain has ceased to function. Although legally recognized in many countries as a criterion for death, brain death has not been universally accepted by bioethicists, by the medical community, or by the (...)
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  35.  48
    Improving Algebraic Thinking Skill, Beliefs And Attitude For Mathematics Throught Learning Cycle Based On Beliefs.Widodo Winarso & Toheri - 2017 - Munich University Library.
    In the recent years, problem-solving become a central topic that discussed by educators or researchers in mathematics education. it’s not only as the ability or as a method of teaching. but also, it is a little in reviewing about the components of the support to succeed in problem-solving, such as student's belief and attitude towards mathematics, algebraic thinking skills, resources and teaching materials. In this paper, examines the algebraic thinking skills as a foundation for problem-solving, and learning cycle as (...)
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  36.  69
    The Virtual Brain: 30 Years of Video-Game Play and Cognitive Abilities.Andrew James Latham, Lucy L. M. Patston & Lynette J. Tippett - 2013 - Frontiers in Psychology 4.
    Forty years have passed since video-games were first made widely available to the public and subsequently playing games has become a favorite past-time for many. Players continuously engage with dynamic visual displays with success contingent on the time-pressured deployment, and flexible allocation, of attention as well as precise bimanual movements. Evidence to date suggests that both brief and extensive exposure to video-game play can result in a broad range of enhancements to various cognitive faculties that generalize beyond the original context. (...)
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  37. Biomedical Ontology Alignment: An Approach Based on Representation Learning.Prodromos Kolyvakis, Alexandros Kalousis, Barry Smith & Dimitris Kiritsis - 2018 - Journal of Biomedical Semantics 9 (21).
    While representation learning techniques have shown great promise in application to a number of different NLP tasks, they have had little impact on the problem of ontology matching. Unlike past work that has focused on feature engineering, we present a novel representation learning approach that is tailored to the ontology matching task. Our approach is based on embedding ontological terms in a high-dimensional Euclidean space. This embedding is derived on the basis of a novel phrase retrofitting strategy (...)
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  38.  74
    Neurofeedback-Based Moral Enhancement and the Notion of Morality.Koji Tachibana - 2017 - The Annals of the University of Bucharest - Philosophy Series 66 (2):25-41.
    Some skeptics question the very possibility of moral bioenhancement by arguing that if we lack a widely acceptable notion of morality, we will not be able to accept the use of a biotechnological technique as a tool for moral bioenhancement. I will examine this skepticism and argue that the assessment of moral bioenhancement does not require such a notion of morality. In particular, I will demonstrate that this skepticism can be neutralized in the case of recent neurofeedback techniques. This goal (...)
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  39.  21
    Optimal Allocation of Wind Turbines in a Radial Distribution Network Using a Two Step Method Based on Improved Teaching-Learning Algorithm.Mehdi Ershadi Nejad, Masume Hedayati & Sarah Khoei - 2018 - International Journal of Academic and Applied Research (IJAAR) 2 (10):33-39.
    Abstract: In this paper, a two-stage method for the allocation of wind turbines with respect to their maximum capacity is used using the teaching-learning method (ITLBO). The location and capacity of the maximum permitted wind turbines are designed to reduce the distribution network losses and taking into account the operating constraints. The proposed method has been developed in two stages. In the first stage, the installation site of wind turbines in the network is considered as an optimization variable, and (...)
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  40.  87
    Meeting the Brain on its Own Terms.Philipp Haueis - 2014 - Frontiers in Human Neuroscience 815 (8).
    In contemporary human brain mapping, it is commonly assumed that the “mind is what the brain does”. Based on that assumption, task-based imaging studies of the last three decades measured differences in brain activity that are thought to reflect the exercise of human mental capacities (e.g., perception, attention, memory). With the advancement of resting state studies, tractography and graph theory in the last decade, however, it became possible to study human brain connectivity without relying (...)
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  41. Cooperative Learning, Critical Thinking and Character. Techniques to Cultivate Ethical Deliberation.Nancy Matchett - 2009 - Public Integrity 12 (1).
    Effective ethics teaching and training must cultivate both the critical thinking skills and the character traits needed to deliberate effectively about ethical issues in personal and professional life. After highlighting some cognitive and motivational obstacles that stand in the way of this task, the article draws on educational research and the author's experience to demonstrate how cooperative learning techniques can be used to overcome them.
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  42. Knowledge-Based Intelligent Tutoring System for Teaching Mongo Database.Mohanad M. Hilles & Samy S. Abu Naser - 2017 - EUROPEAN ACADEMIC RESEARCH 4 (10).
    Recently, Intelligent Tutoring Systems (ITS) got much attention from researchers even though ITS educational technology began in the late 1960s and ITS is just embryonic from laboratories into the field. In this paper we outline an intelligent tutoring system for teaching basics of the databases system called (MDB). The MDB was built as education system by using the authoring tool (ITSB). MDB contains learning materials as a group of lessons for beginner level which include relational database system and lessons (...)
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  43. Managing the Ethical Dimensions of Brain-Computer Interfaces in eHealth: An SDLC-Based Approach.Matthew E. Gladden - 2016 - In Demetris Vrontis, Yaakov Weber & Evangelos Tsoukatos (eds.), Proceedings of the 9th Annual EuroMed Academy of Business Conference: Innovation, Entrepreneurship and Digital Ecosystems (EUROMED 2016). EuroMed Press. pp. 889-902.
    A growing range of brain-computer interface (BCI) technologies is being employed for purposes of therapy and human augmentation. While much thought has been given to the ethical implications of such technologies at the ‘macro’ level of social policy and ‘micro’ level of individual users, little attention has been given to the unique ethical issues that arise during the process of incorporating BCIs into eHealth ecosystems. In this text a conceptual framework is developed that enables the operators of eHealth ecosystems (...)
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  44. Deep Learning Classification of Peach Fruits.AlKahlout Mohammad - 2020 - International Journal of Academic Engineering Research (IJAER) 3 (12):35-40.
    Peach, (Prunus persica), fruit tree of the rose family (Rosaceae), grown throughout the warmer temperate regions of both the Northern and Southern hemispheres. Peaches are widely eaten fresh and are also baked in pies and cobblers; canned peaches are a staple commodity in many regions. Yellow-fleshed varieties are especially rich in vitamin A. Peach trees are relatively short-lived as compared with some other fruit trees. In some regions orchards are replanted after 8 to 10 years, while in others trees may (...)
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  45.  35
    Principles of Information Processing and Natural Learning in Biological Systems.Predrag Slijepcevic - forthcoming - Journal for General Philosophy of Science / Zeitschrift für Allgemeine Wissenschaftstheorie.
    The key assumption behind evolutionary epistemology is that animals are active learners or ‘knowers’. In the present study, I updated the concept of natural learning, developed by Henry Plotkin and John Odling-Smee, by expanding it from the animal-only territory to the biosphere-as-a-whole territory. In the new interpretation of natural learning the concept of biological information, guided by Peter Corning’s concept of “control information”, becomes the ‘glue’ holding the organism–environment interactions together. The control information guides biological systems, from bacteria (...)
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  46.  73
    The Self and its Brain: An Argument for Interactionism.John C. Eccles & Karl Popper - 1984 - Routledge.
    The relation between body and mind is one of the oldest riddles that has puzzled mankind. That material and mental events may interact is accepted even by the law: our mental capacity to concentrate on the task can be seriously reduced by drugs. Physical and chemical processes may act upon the mind; and when we are writing a difficult letter, our mind acts upon our body and, through a chain of physical events, upon the mind of the recipient of the (...)
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  47.  87
    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 (...)
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  48. Brain Drain, Health, and Global Justice.Alex Sager - 2012 - In Rebecca S. Shah (ed.), The International Migration of Health Workers: Ethics, Rights, and Justice. Palgrave-Macmillan. pp. 103-117.
    This chapter criticizes policies that aim to restrict the emigration or immigration of skilled workers, analyzes the ethics of recruitment, and proposes basing an ethics of skilled migration based on the violation of negative duties not to uphold unjust institutions.
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  49. Reference Framework for Active Learning in Higher Education.Pranav Naithani - 2008 - In Abdulla Al-Hawaj, Wajeeh Elali & E. H. Twizell (eds.), Higher Education in the Twenty-First Century: Issues and Challenges. Taylor & Francis Group. pp. 113-120.
    The work presented in this paper traces the history of active learning and further utilizes the available literature to define meaning and importance of active learning in higher education. The study highlights common practical problems faced by students and instructors in implementing active learning in higher education and further identifies a set of individual prac-tices being used worldwide to overcome the obstacles. Expectations and responsibilities of stu-dents and instructors are also specified to enhance the efficiency of active (...)
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  50.  93
    Can Motto-Goals Outperform Learning and Performance Goals? Influence of Goal Setting on Performance and Affect in a Complex Problem Solving Task.Miriam Sophia Rohe, Joachim Funke, Maja Storch & Julia Weber - 2016 - Journal of Dynamic Decision Making 2 (1):1-15.
    In this paper, we bring together research on complex problem solving with that on motivational psychology about goal setting. Complex problems require motivational effort because of their inherent difficulties. Goal Setting Theory has shown with simple tasks that high, specific performance goals lead to better performance outcome than do-your-best goals. However, in complex tasks, learning goals have proven more effective than performance goals. Based on the Zurich Resource Model, so-called motto-goals should activate a person’s resources through positive affect. (...)
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