Results for 'multi-layered network'

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  1. Multi-layer adaptive network models and human generalization.M. Pavel, Ma Gluck & V. Henkle - 1989 - Bulletin of the Psychonomic Society 27 (6):495-496.
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    Gradient conjugate priors and multi-layer neural networks.Pavel Gurevich & Hannes Stuke - 2020 - Artificial Intelligence 278 (C):103184.
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    Clinical Diagnosis of Creutzfeldt-Jakob Disease Using a Multi-Layer Perceptron Neural Network Classifier.Κ Sutherland, R. De Silva & R. G. Will - 1997 - Journal of Intelligent Systems 7 (1-2):1-18.
  4.  2
    A Training Strategy and Functionality Analysis of Digital Multi-Layer Neural Networks.R. Al-Alawi & T. J. Stonham - 1992 - Journal of Intelligent Systems 2 (1-4):53-94.
  5. Representation and similarity in single-layer and multi-layer adaptive networks.M. Gluck & G. Bower - 1989 - Bulletin of the Psychonomic Society 27 (6):495-495.
     
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  6.  62
    Crowd counting via Multi-Scale Adversarial Convolutional Neural Networks.Chengyang Li, Baoli Yang, Sikandar Ali, Hong Zhang & Liping Zhu - 2020 - Journal of Intelligent Systems 30 (1):180-191.
    The purpose of crowd counting is to estimate the number of pedestrians in crowd images. Crowd counting or density estimation is an extremely challenging task in computer vision, due to large scale variations and dense scene. Current methods solve these issues by compounding multi-scale Convolutional Neural Network with different receptive fields. In this paper, a novel end-to-end architecture based on Multi-Scale Adversarial Convolutional Neural Network (MSA-CNN) is proposed to generate crowd density and estimate the amount of (...)
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  7. Understanding Creativity: Affect Decision and Inference.Avijit Lahiri - manuscript
    In this essay we collect and put together a number of ideas relevant to the under- standing of the phenomenon of creativity, confining our considerations mostly to the domain of cognitive psychology while we will, on a few occasions, hint at neuropsy- chological underpinnings as well. In this, we will mostly focus on creativity in science, since creativity in other domains of human endeavor have common links with scientific creativity while differing in numerous other specific respects. We begin by briefly (...)
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  8.  76
    Predicting Birth Weight Using Artificial Neural Network.Mohammed Al-Shawwa & Samy S. Abu-Naser - 2019 - International Journal of Academic Health and Medical Research (IJAHMR) 3 (1):9-14.
    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. (...)
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  9.  5
    Polymedia repertoires of networked individuals : A day-in-the-life approach.Caroline Tagg & Agnieszka Lyons - 2021 - Pragmatics and Society 12 (5):725-755.
    This article introduces the concept of the polymedia repertoire to explore how social meaning is indexed through the interplay of communicative resources at different levels of expression in digitally mediated interactions. The multi-layered polymedia repertoire highlights how people move fluidly between media platforms, semiotic modes and linguistic resources in the course of their everyday interactions, and enables us to locate digital communications within individuals’ wider practices. The potential of our theoretical contribution is illustrated through analysis of mobile phone (...)
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    Relational Agency of University Teachers of Chinese as a Second Language: A Personal Network Perspective.Weijia Yang, Citing Li & Xuesong Gao - 2022 - Frontiers in Psychology 12.
    Relational agency is pivotal for understanding how language teachers seek and utilize relational resources in different contexts and grow to be agents of change amid various educational challenges. This study explored how three university teachers of Chinese as a second language enacted their relational agency to enhance their research capacity and sustain their professional development. Data on their personal network development was collected through concentric circle interviews, life-history interviews and written reflections over three months. Thematic analysis was adopted for (...)
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  11.  2
    The application of artificial neural networks to forecast financial time series.D. González-Cortés, E. Onieva, I. Pastor & J. Wu - forthcoming - Logic Journal of the IGPL.
    The amount of information that is produced on a daily basis in the financial markets is vast and complex; consequently, the development of systems that simplify decision-making is an essential endeavor. In this article, several intelligent systems are proposed and tested to predict the closing price of the IBEX 35 index using more than ten years of historical data and five distinct architectures for neural networks. A multi-layer perceptron was the first step, followed by a simple recurrent neural (...), a gated recurrent unit network and two long-short-term memory (LSTM) networks. The results of the analyses performed on these models have demonstrated a powerful capacity for prediction. Additionally, the findings of this research point to the fact that the application of intelligent systems can simplify the decision-making process in financial markets, which is a substantial advantage. Furthermore, by comparing the predicted outcome errors between the models, the LSTM presents the lowest error with a higher computational time in the training phase. The LSTM was able to accurately forecast the closing price of the day as well as the price for the following one and two days in advance. In conclusion, the empirical results demonstrated that these models could accurately predict financial data for trading purposes and that the application of intelligent systems, such as the LSTM network, represents a promising advancement in financial technology. (shrink)
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    Acknowledgments-based networks for mapping the social structure of research fields. A case study on recent analytic philosophy.Eugenio Petrovich - 2022 - Synthese 200 (3):1-40.
    In the last decades, research in science mapping has delivered several powerful techniques, based on citation or textual analysis, for charting the intellectual organization of research fields. To map the social network underlying science and scholarship, by contrast, science mapping has mainly relied on one method, co-authorship analysis. This method, however, suffers from well-known limitations related to the practice of authorship. Moreover, it does not perform well on those fields where multi-authored publications are rare. In this study, a (...)
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  13.  11
    Modeling psychopathology: 4D multiplexes to the rescue.Lena Kästner - 2022 - Synthese 201 (1):1-30.
    Accounts of mental disorders focusing either on the brain as neurophysiological substrate or on systematic connections between symptoms are insufficient to account for the multifactorial nature of mental illnesses. Recently, multiplexes have been suggested to provide a holistic view of psychopathology that integrates data from different factors, at different scales, or across time. Intuitively, these multi-layered network structures present quite appealing models of mental disorders that can be constructed by powerful computational machinery based on increasing amounts of (...)
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    Associations Between Mental Health, Interoception, Psychological Flexibility, and Self-as-Context, as Predictors for Alexithymia: A Deep Artificial Neural Network Approach.Darren J. Edwards & Rob Lowe - 2021 - Frontiers in Psychology 12.
    Background: Alexithymia is a personality trait which is characterized by an inability to identify and describe conscious emotions of oneself and others.Aim: The present study aimed to determine whether various measures of mental health, interoception, psychological flexibility, and self-as-context, predicted through linear associations alexithymia as an outcome. This also included relevant mediators and non-linear predictors identified for particular sub-groups of participants through cluster analyses of an Artificial Neural Network output.Methodology: Two hundred and thirty participants completed an online survey which (...)
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  15. Philosophy of Ideology.Gustavo E. Romero - forthcoming - In Javier Pérez Jara & Íñigo Ongay de Felipe (eds.), Overcoming the Nature Versus Nurture Debate. Springer.
    The concept of ideology is central to the understanding of the many political, economic, social, and cultural processes that have occurred in the last two centuries. And yet, what is the nature of the different ideologies remains a vague, open, and much disputed question. Many political, sociological, and ideological studies have been devoted to ideology. Very little, on the other hand, has been done from the philosophical field. And this despite the fact that there are undoubtedly many philosophical questions related (...)
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  16. The Self The Soul and The World: Affect Reason and Complexity.Avijit Lahiri - manuscript
    This book looks at the affective-cognitive roots of how the human mind inquires into the workings of nature and, more generally, how the mind confronts reality. Reality is an infinitely complex system, in virtue of which the mind can comprehend it only in bits and pieces, by making up interpretations of the myriads of signals received from the world by way of integrating those with information stored from the past. This constitutes a piecemeal interpretation by which we assemble our phenomenal (...)
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    Des saillances du texte aux objets linguistiques : apprentissage des marqueurs linguistiques interprétables avec une architecture CNN multi-niveaux.Laurent Corneli Vanni - 2023 - Corpus 24.
    A lot of effort is currently made to provide methods to analyze and understand deep neural network impressive performances for tasks such as image or text classification. These methods are mainly based on visualizing the important input features taken into account by the network to build a decision. However these techniques, let us cite LIME, SHAP, Grad-CAM, or TDS, require extra effort to interpret the visualization with respect to expert knowledge. In this paper, we propose a novel approach (...)
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    Methodological Signatures in Early Ethology: The Problem of Animal Subjectivity.Anna Klassen - 2021 - Journal for General Philosophy of Science / Zeitschrift für Allgemeine Wissenschaftstheorie 52 (4):563-576.
    What is the adequate terminology to talk about animal behaviour? Is terminology referring to mental or emotional states anthropomorphic and should therefore be prohibited or is it a necessary means to provide for an adequate description and should be encouraged? This question was vehemently discussed in the founding phase of Ethology as a scientific discipline and still is. This multi-layered problem can be grasped by using the concept of methodological signatures, developed by Köchy et al.. It is designed (...)
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  19.  4
    Retina Development in Vertebrates: Systems Biology Approaches to Understanding Genetic Programs.Lorena Buono & Juan-Ramon Martinez-Morales - 2020 - Bioessays 42 (4):1900187.
    The ontogeny of the vertebrate retina has been a topic of interest to developmental biologists and human geneticists for many decades. Understanding the unfolding of the genetic program that transforms a field of progenitors cells into a functionally complex and multilayered sensory organ is a formidable challenge. Although classical genetic studies succeeded in identifying the key regulators of retina specification, understanding the architecture of their gene network and predicting their behavior are still a distant hope. The emergence (...)
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  20.  6
    Predicting Me: The Route to Digital Immortality?Paul Smart - 2021 - In Inês Hipólito, Robert William Clowes & Klaus Gärtner (eds.), The Mind-Technology Problem : Investigating Minds, Selves and 21st Century Artefacts. Springer Verlag. pp. 185-207.
    An emerging consensus in cognitive science views the biological brain as a hierarchically-organized predictive processing system that relies on generative models to predict the structure of sensory information. Such a view resonates with a body of work in machine learning that has explored the problem-solving capabilities of hierarchically-organized, multi-layer neural networks, many of which acquire and deploy generative models of their training data. The present chapter explores the extent to which the ostensible convergence on a common neurocomputational architecture might (...)
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  21.  6
    Emotion recognition and achievement prediction for foreign language learners under the background of network teaching.Yi Ding & Wenying Xing - 2022 - Frontiers in Psychology 13.
    At present, there are so many learners in online classroom that teachers cannot master the learning situation of each student comprehensively and in real time. Therefore, this paper first constructs a multimodal emotion recognition model based on CNN-BiGRU. Through the feature extraction of video and voice information, combined with temporal attention mechanism, the attention distribution of each modal information at different times is calculated in real time. In addition, based on the recognition of learners’ emotions, a prediction model of learners’ (...)
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    Compensating atmospheric turbulence with CNNs for defocused pupil image wavefront sensors.Sergio Luis Suárez Gómez, Carlos González-Gutiérrez, Juan Díaz Suárez, Juan José Fernández Valdivia, José Manuel Rodríguez Ramos, Luis Fernando Rodríguez Ramos & Jesús Daniel Santos Rodríguez - 2021 - Logic Journal of the IGPL 29 (2):180-192.
    Adaptive optics are techniques used for processing the spatial resolution of astronomical images taken from large ground-based telescopes. In this work, computational results are presented for a modified curvature sensor, the tomographic pupil image wavefront sensor, which measures the turbulence of the atmosphere, expressed in terms of an expansion over Zernike polynomials. Convolutional neural networks are presented as an alternative to the TPI-WFS reconstruction. This technique is a machine learning model of the family of artificial neural networks, which are widely (...)
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    講義再現システムにおけるスライド重要度抽出.松田 和彦 山田 博文 - 2002 - Transactions of the Japanese Society for Artificial Intelligence 17:481-489.
    This paper describes a method for extracting importance of slides in a lecture review system. We introduce "index of importance" to quantitatively evaluate importance of slides. The index of importance is subjective evaluation value that is attached to each slide by lecturers. Firstly, the lecture review system extracts the index of importance of the slide by using a multi-layer neural network. In a MLN learning process, eight types of nonlinguistic informations, such as the presentation time of the slide, (...)
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  24.  36
    Predicting Me: The Route to Digital Immortality?Paul Smart - 2021 - In Inês Hipólito, Robert William Clowes & Klaus Gärtner (eds.), The Mind-Technology Problem : Investigating Minds, Selves and 21st Century Artefacts. Springer Verlag. pp. 185–207.
    An emerging consensus in cognitive science views the biological brain as a hierarchically-organized predictive processing system that relies on generative models to predict the structure of sensory information. Such a view resonates with a body of work in machine learning that has explored the problem-solving capabilities of hierarchically-organized, multi-layer (i.e., deep) neural networks, many of which acquire and deploy generative models of their training data. The present chapter explores the extent to which the ostensible convergence on a common neurocomputational (...)
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  25.  15
    Data streams classification using deep learning under different speeds and drifts.Pedro Lara-Benítez, Manuel Carranza-García, David Gutiérrez-Avilés & José C. Riquelme - 2023 - Logic Journal of the IGPL 31 (4):688-700.
    Processing data streams arriving at high speed requires the development of models that can provide fast and accurate predictions. Although deep neural networks are the state-of-the-art for many machine learning tasks, their performance in real-time data streaming scenarios is a research area that has not yet been fully addressed. Nevertheless, much effort has been put into the adaption of complex deep learning (DL) models to streaming tasks by reducing the processing time. The design of the asynchronous dual-pipeline DL framework allows (...)
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  26.  6
    Biophysical approach to modeling reflection: basis, methods, results.S. I. Bartsev, G. M. Markova & A. I. Matveeva - forthcoming - Philosophical Problems of IT and Cyberspace (PhilIT&C).
    The approach used by physics is based on the identification and study of ideal objects, which is also the basis of biophysics, in combination with von Neumann heuristic modeling and functional fractionation according to R.Rosen is discussed as a tool for studying the properties of consciousness. The object of the study is a kind of line of analog systems: the human brain, the vertebrate brain, the invertebrate brain and artificial neural networks capable of reflection, which is a key property characteristic (...)
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  27.  19
    New Forms of Complementarity in Science.Andrea Bonaccorsi - 2010 - Minerva 48 (4):355-387.
    New sciences born or developed in the 20th century (information, materials, life science) are based on forms of complementarity that differ from the past. The paper discusses cognitive, or disciplinary, institutional, and technical complementarity. It argues that new sciences apply a reductionist explanatory strategy to complex multi-layered systems. In doing so the reductionist promise is falsified, generating the need for multi-level kinds of explanation (e.g. in post-genomic molecular biology), new forms of complementarity between scientific and non-scientific organizations, (...)
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  28. Biophysical approach to modeling reflection: basis, methods, results.С. И Барцев, Г. М Маркова & А. И Матвеева - 2023 - Philosophical Problems of IT and Cyberspace (PhilITandC) 2:120-139.
    The approach used by physics is based on the identification and study of ideal objects, which is also the basis of biophysics, in combination with von Neumann heuristic modeling and functional fractionation according to R.Rosen is discussed as a tool for studying the properties of consciousness. The object of the study is a kind of line of analog systems: the human brain, the vertebrate brain, the invertebrate brain and artificial neural networks capable of reflection, which is a key property characteristic (...)
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  29.  5
    Multi-actor networks and innovation niches: university training for local Agroecological Dynamization.Daniel López-García, Laura Calvet-Mir, Marina Di Masso & Josep Espluga - 2019 - Agriculture and Human Values 36 (3):567-579.
    The global environmental and social-economic crises of industrialized agriculture have led to the emergence of agroecology as an alternative approach aiming to increase the ecological, social and economic sustainability of agri–food systems. The ‘multi-level perspective’ is now a widely used framework to understand and promote the upscaling of local innovation niches, such as agroecology, to broader scales, thus reconfiguring the dominant socio-technical regimes. Additionally, emergent ‘hybrid forums’ can provide a space between niche and regime where niche innovators can become (...)
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  30.  9
    Multi-layered Gestalt in Real-time Interaction.Terry S. H. Fitzgerald Au-Yeung - 2022 - Philosophia Scientiae:123-149.
    In his PhD proposal, now published as Seeing Sociological, Garfinkel [2006] formulated action in terms of a mutually constitutive structure—the Noesis-Noema Structures. This structure can be traced to Aaron Gurwitsch’s gestalt psychology and Law of Good Gestalt which theorises how participants prioritise functional Gestalts over other possible meanings of what is perceivable in their surroundings. While Gurwitsch illustrated his theory using images, in this paper we revisit Gurwitsch’s theory in light of the advances in recording real-time interaction to consider Gestalt (...)
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  31.  4
    Learning low-dimensional representations via the usage of multiple-class labels.S. Edelman - unknown
    Learning to recognize visual objects from examples requires the ability to find meaningful patterns in spaces of very high dimensionality. We present a method for dimensionality reduction which effectively biases the learning system by combining multiple constraints via the use of class labels. The use of extensive class labels steers the resulting lowdimensional representation to become invariant to those directions of variation in the input space that are irrelevant to classification; this is done merely by making class labels independent of (...)
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    Biophysical approach to modeling reflection: basis, methods, results.С. И Барцев, Г. М Маркова & А. И Матвеева - 2023 - Philosophical Problems of IT and Cyberspace (PhilIT&C) 2:120-139.
    The approach used by physics is based on the identification and study of ideal objects, which is also the basis of biophysics, in combination with von Neumann heuristic modeling and functional fractionation according to R.Rosen is discussed as a tool for studying the properties of consciousness. The object of the study is a kind of line of analog systems: the human brain, the vertebrate brain, the invertebrate brain and artificial neural networks capable of reflection, which is a key property characteristic (...)
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  33.  6
    Auxiliary diagnosis study of integrated electronic medical record text and CT images.Feng Yijie, Liu Kailin, Li Shi, Diao Hang & Duan Yuanchuan - 2022 - Journal of Intelligent Systems 31 (1):753-766.
    At present, most of the research in the field of medical-assisted diagnosis is carried out based on image or electronic medical records. Although there is some research foundation, they lack the comprehensive consideration of comprehensive image and text modes. Based on this situation, this article proposes a fusion classification auxiliary diagnosis model based on GoogleNet model and Bi-LSTM model, uses GoogleNet to process brain computed tomographic images of ischemic stroke patients and extract CT image features, uses Bi-LSTM model to extract (...)
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  34.  19
    The New Mizrahi Narrative in Israel.Arie Kizel - 2014 - Resling.
    The trend to centralization of the Mizrahi narrative has become an integral part of the nationalistic, ethnic, religious, and ideological-political dimensions of the emerging, complex Israeli identity. This trend includes several forms of opposition: strong opposition to "melting pot" policies and their ideological leaders; opposition to the view that ethnicity is a dimension of the tension and schisms that threaten Israeli society; and, direct repulsion of attempts to silence and to dismiss Mizrahim and so marginalize them hegemonically. The Mizrahi Democratic (...)
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  35.  6
    Multi-actor networks and innovation niches: university training for local Agroecological Dynamization.Josep Espluga, Marina Masso, Laura Calvet-Mir & Daniel López-García - 2019 - Agriculture and Human Values 36 (3):567-579.
    The global environmental and social-economic crises of industrialized agriculture have led to the emergence of agroecology as an alternative approach aiming to increase the ecological, social and economic sustainability of agri–food systems. The ‘multi-level perspective’ is now a widely used framework to understand and promote the upscaling of local innovation niches, such as agroecology, to broader scales (e.g., regional, national, international), thus reconfiguring the dominant socio-technical regimes. Additionally, emergent ‘hybrid forums’ can provide a space between niche and regime where (...)
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  36.  4
    Orientation for communication: Embodiment, and the language of dance.Adesola Akinleye - 2012 - Empedocles: European Journal for the Philosophy of Communication 4 (2):101-112.
    In this article I explore the place of movement, particularly dance, in understanding and communication of the lived experience. I look at the gap between corporeal sensation and the communication of that knowledge into wider social contexts. Drawing on narratives gathered from four case studies in British schools, I look at dance as a mode of language that can offer a methodological approach to understanding the lived experience. I take the pragmatist starting point of embodiment to argue that the immediacy (...)
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  37.  63
    Multi-layer relationships between psychological symptoms and life adaptation among humidifier disinfectant survivors.Min Joo Lee, Hun-Ju Lee, Hyeyun Ko, Seung-Hun Ryu & Sang Min Lee - 2022 - Frontiers in Psychology 13.
    In April 2011, the Korea Centers for Disease Control and Prevention announced the results of an epidemiological investigation that an unknown cause of lung disease that occurred throughout Korea was caused by humidifier disinfectants. The unprecedented social catastrophe caused by humidifier disinfectants, a household chemical, has so far reported 1,784 deaths and 5,984 survivors in South Korea. This study was designed to investigate the multi-layer relationships between psychological symptoms and adaptive functioning in survivors of the Humidifier disinfectants in South (...)
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  38.  4
    A layered network model of associative learning: Learning to learn and configuration.E. James Kehoe - 1988 - Psychological Review 95 (4):411-433.
  39.  7
    Learning from Multi-Stakeholder Networks: Issue-Focussed Stakeholder Management.Julia Roloff - 2008 - Journal of Business Ethics 82 (1):233-250.
    From an analysis of the role of companies in multi-stakeholder networks and a critical review of stakeholder theory, it is argued that companies practise two different types of stakeholder management: they focus on their organization’s welfare (organization- focussed stakeholder management) or on an issue that affects their relationship with other societal groups and organizations (issue-focussed stakeholder management). These two approaches supplement each other. It is demonstrated that issue-focussed stakeholder management dominates in multi-stakeholder networks, because it enables corporations to (...)
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  40. A multi-layered ontology for comparing relationship semantics in conceptual models of databases.Sandeep Purao & Veda C. Storey - 2005 - Applied ontology 1 (1):117-139.
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  41.  6
    Constrained connectionism and the limits of human semantics: A review essay of Terry regier's the human semantic potential. [REVIEW]Robert M. French - 1999 - Philosophical Psychology 12 (4):515 – 523.
    Taking to heart Massaro's [(1988) Some criticisms of connectionist models of human performance, Journal of Memory and Language, 27, 213-234] criticism that multi-layer perceptrons are not appropriate for modeling human cognition because they are too powerful (i.e. they can simulate just about anything, which gives them little explanatory power), Regier develops the notion of constrained connectionism. The model that he discusses is a distributed network but with numerous constraints added that are (more or less) motivated by real psychophysical (...)
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  42.  7
    Gender as a multi-layered issue in journalism: A multi-method approach to studying barriers sustaining gender inequality in Belgian newsrooms.Karin Raeymaeckers & Sara De Vuyst - 2019 - European Journal of Women's Studies 26 (1):23-38.
    In feminist media studies, the growing body of research on media production has indicated that journalism remains divided along gender lines. The purpose of this study is to address the lack of relevant multi-method research on gender inequality in journalism. To assess the structural position of women in the journalistic workforce, the authors conducted a large-scale survey of journalists in Belgium. The survey results were explored in more depth by conducting qualitative interviews with 19 female journalists. The analysis confirms (...)
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  43.  12
    A Multi-layered Illustration of Exemplary Business Ethics Practices with Voices of the Engineers in the Health Products Industry.Dayoung Kim & Justin L. Hess - 2022 - Journal of Business Ethics 187 (1):169-183.
    Promoting ethical practice within an organization has been a continuous challenge in the business ethics community. To enrich organizational practices for promoting business ethics across an organization, this paper aims to introduce the voices of practitioners working in organizations that offer exemplary practices. Based on semi-structured interviews with 21 engineers working in the health products industry, we identified 12 pervasive ethical values that we grouped to four categories: fiduciary, economic, engineering, and process values. As ethics has been embraced as a (...)
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  44. A multi-layered dual-process approach to conditional reasoning.Niki Verschueren & Schaeken & Walter - 2010 - In Mike Oaksford & Nick Chater (eds.), Cognition and Conditionals: Probability and Logic in Human Thought. Oxford University Press.
     
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  45.  5
    Multi-layer vacancy loops in graphite.J. A. Turnbull & M. S. Stagg - 1967 - Philosophical Magazine 15 (136):867-870.
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  46.  5
    Multi-layered Indebtedness.Paul van Geest - 2012 - Augustinian Studies 43 (1-2):219-238.
  47.  9
    Kant’s Multi-Layered Conception of Things in Themselves, Transcendental Objects, and Monads.Karin de Boer - 2014 - Kant Studien 105 (2):221-260.
    While Kant in the Critique of Pure Reason maintains that things in themselves cannot be known, he also seems to assert that they affect our senses and produce representations. Following Jacobi, many commentators have considered these claims to be contradictory. Instead of adding another artificial solution to the existing literature on this subject, I maintain that Kant’s use of terms such as thing-in-itself, noumenon, and transcendental object becomes perfectly consistent if we take them to acquire a different meaning in the (...)
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  48.  3
    Exploring the Multi-Layered Affordances of Composing and Performing Interactive Music with Responsive Technologies.Anna Einarsson & Tom Ziemke - 2017 - Frontiers in Psychology 8.
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  49.  12
    Convergence Versus Divergence of CSR in Developing Countries: An Embedded Multi-Layered Institutional Lens. [REVIEW]Dima Jamali & Ben Neville - 2011 - Journal of Business Ethics 102 (4):599-621.
    This paper capitalizes on an institutional perspective to analyze corporate social responsibility (CSR) orientations in the Lebanese context. Specifically, the paper compiles a new theoretical framework drawing on a multi-level model of institutional flows by Scott (Institutions and organizations: ideas and interests, 2008 ) and the explicit/implicit CSR model by Matten and Moon (Acad Manag Rev 33(2):404–424, 2008 ). This new theoretical framework is then used to explore the CSR convergence versus divergence question in a developing country context. The (...)
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  50.  3
    Kant’s Multi-Layered Conception of Things in Themselves, Transcendental Objects, and Monads.Karinde Boer - 2014 - Kant Studien 105 (2):221-260.
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