Results for 'Principal component analysis'

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  1.  10
    Principal Components Analysis Using Data Collected From Healthy Individuals on Two Robotic Assessment Platforms Yields Similar Behavioral Patterns.Michael D. Wood, Leif E. R. Simmatis, Jill A. Jacobson, Sean P. Dukelow, J. Gordon Boyd & Stephen H. Scott - 2021 - Frontiers in Human Neuroscience 15.
    BackgroundKinarm Standard Tests is a suite of upper limb tasks to assess sensory, motor, and cognitive functions, which produces granular performance data that reflect spatial and temporal aspects of behavior. We have previously used principal component analysis to reduce the dimensionality of multivariate data using the Kinarm End-Point Lab. Here, we performed PCA using data from the Kinarm Exoskeleton Lab, and determined agreement of PCA results across EP and EXO platforms in healthy participants. We additionally examined whether (...)
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  2.  25
    The Use of Principal Component Analysis and Logistic Regression in Prediction of Infertility Treatment Outcome.Anna Justyna Milewska, Dorota Jankowska, Dorota Citko, Teresa Więsak, Brian Acacio & Robert Milewski - 2014 - Studies in Logic, Grammar and Rhetoric 39 (1):7-23.
    Principal Component Analysis is one of the data mining methods that can be used to analyze multidimensional datasets. The main objective of this method is a reduction of the number of studied variables with the mainte- nance of as much information as possible, uncovering the structure of the data, its visualization as well as classification of the objects within the space defined by the newly created components. PCA is very often used as a preliminary step in data (...)
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  3.  20
    Dual Relationship Activities: Principal Component Analysis of Counselors' Attitudes.Tracey Nigro - 2003 - Ethics and Behavior 13 (2):191-201.
    The British Columbian Members of the Canadian Guidance and Counselling Association were surveyed to explore their attitudes regarding dual relationships. Of 529 deliverable surveys, 206 usable returns yielded a response rate of 39%. The survey instrument collected data regarding respondents' characteristics and ethicality ratings of 39 dual relationship activity items. An exploratory principal components analysis was performed on responses, resulting in a 4-factor equation, which accounted for 44% of the total variance. The results suggest that, although conceptual considerations (...)
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  4.  17
    Box 1. Principal components analysis of faces.Peter J. B. Hancock, Vicki Bruce & A. Mike Burton - 2000 - Trends in Cognitive Sciences 4 (9):330-337.
  5.  10
    novel method for anomaly detection using beta Hebbian learning and principal component analysis.Francisco Zayas-Gato, Álvaro Michelena, Héctor Quintián, Esteban Jove, José-Luis Casteleiro-Roca, Paulo Leitão & José Luis Calvo-Rolle - 2023 - Logic Journal of the IGPL 31 (2):390-399.
    In this research work a novel two-step system for anomaly detection is presented and tested over several real datasets. In the first step the novel Exploratory Projection Pursuit, Beta Hebbian Learning algorithm, is applied over each dataset, either to reduce the dimensionality of the original dataset or to face nonlinear datasets by generating a new subspace of the original dataset with lower, or even higher, dimensionality selecting the right activation function. Finally, in the second step Principal Component (...) anomaly detection is applied to the new subspace to detect the anomalies and improve its classification capabilities. This new approach has been tested over several different real datasets, in terms of number of variables, number of samples and number of anomalies. In almost all cases, the novel approach obtained better results in terms of area under the curve with similar standard deviation values. In case of computational cost, this improvement is only remarkable when complexity of the dataset in terms of number of variables is high. (shrink)
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  6.  12
    Percentiles and Principal Component Analysis of Physical Fitness From a Big Sample of Children and Adolescents Aged 6-18 Years: The DAFIS Project. [REVIEW]Eliseo Iglesias-Soler, María Rúa-Alonso, Jessica Rial-Vázquez, Jose Ramón Lete-Lasa, Iván Clavel, Manuel A. Giráldez-García, Javier Rico-Díaz, Miguel Rodríguez-Del Corral, Eduardo Carballeira-Fernández & Xurxo Dopico-Calvo - 2021 - Frontiers in Psychology 12.
    Assessing physical fitness has emerged as a proxy of the health status of children and adolescents and therefore as relevant from a public health point of view. DAFIS is a project included in Plan Galicia Saudable of the regional government of Galicia. DAFIS consists of an on-line software devoted to record the results of a standard physical fitness protocol carried out as a part of the physical education curriculum. The aims of this study were: to obtain normative values of physical (...)
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  7. Neural Network Applications-Face Recognition Using Probabilistic Two-Dimensional Principal Component Analysis and Its Mixture Model.Haixian Wang & Zilan Hu - 2006 - In O. Stock & M. Schaerf (eds.), Lecture Notes in Computer Science. Springer Verlag. pp. 4221--337.
     
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  8.  8
    Energy Investment Potential and Strategic Layout in Countries along the “Belt and Road” Based on Principal Component Analysis.Xiao-Feng Xu, Min Liu, Li Ma & Yang Li - 2021 - Complexity 2021:1-10.
    It is important for energy enterprises to research on the investment potential of the energy markets in countries along the “Belt and Road,” which can help them optimize the regional investment structure, reduce investment risks, and conform to the development trend of “going global.” Therefore, we construct an investment potential assessment system of 29 indexes including five dimensions: politics, economy, society, energy, and cooperation and assess energy investment potential of 48 sample countries along the “Belt and Road” using principal (...)
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  9.  2
    How Do Movement Patterns in Weightlifting (Clean) Change When Using Lighter or Heavier Barbell Loads?—A Comparison of Two Principal Component Analysis-Based Approaches to Studying Technique.Inge Werner, Nicolai Szelenczy, Felix Wachholz & Peter Federolf - 2021 - Frontiers in Psychology 11.
    This study compared whole body kinematics of the clean movement when lifting three different loads, implementing two data analysis approaches based on principal component analysis. Nine weightlifters were equipped with 39 markers and their motion captured with 8 Vicon cameras at 100 Hz. Lifts of 60, 85, and 95% of the one repetition maximum were analyzed. The first PCA analyzed variance among time-normed waveforms compiled from subjects and trials; the second PCA analyzed postural positions compiled over (...)
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  10.  24
    Differentially Expressed Genes Extracted by the Tensor Robust Principal Component Analysis (TRPCA) Method.Yue Hu, Jin-Xing Liu, Ying-Lian Gao, Sheng-Jun Li & Juan Wang - 2019 - Complexity 2019:1-13.
    In the big data era, sequencing technology has produced a large number of biological sequencing data. Different views of the cancer genome data provide sufficient complementary information to explore genetic activity. The identification of differentially expressed genes from multiview cancer gene data is of great importance in cancer diagnosis and treatment. In this paper, we propose a novel method for identifying differentially expressed genes based on tensor robust principal component analysis, which extends the matrix method to the (...)
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  11.  24
    The ‘not-so-strange’ body in the mirror: A principal components analysis of direct and mirror self-observation.Paul M. Jenkinson & Catherine Preston - 2017 - Consciousness and Cognition 48:262-272.
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  12.  26
    An Approach to Integrating Tactical Decision-Making in Industrial Maintenance Balance Scorecards Using Principal Components Analysis and Machine Learning.Néstor Rodríguez-Padial, Marta Marín & Rosario Domingo - 2017 - Complexity:1-15.
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  13.  42
    Hand Gesture recognition and classification by Discriminant and Principal Component Analysis using Machine Learning techniques.Sauvik Das Gupta, Souvik Kundu, Rick Pandey, Rahul Ghosh, Rajesh Bag & Abhishek Mallik - 2012 - In Zdravko Radman (ed.), The Hand. MIT Press.
  14.  40
    Neural correlates of impaired vocal emotion perception: New insights from principal component analysis.Kershaw Kelly, Rushby Jacqueline, McDonald Skye, De Blasio Frances, Sufani Christopher, Fisher Alana & Iredale Jaimi - 2015 - Frontiers in Human Neuroscience 9.
  15. Interaction between precuneus and dorsolateral prefrontal cortex may play a unitary role in consciousness-A principal component analysis of rCBF.T. W. Kjaer & H. C. Lou - 2000 - Consciousness and Cognition 9 (2):S59 - S59.
  16.  9
    An Analysis of the Economic Impact of US Presidential Elections Based on Principal Component and Logical Regression.Jing-Jing Wang, Yan Liang, Jin-Tao Su & Jia-Ming Zhu - 2021 - Complexity 2021:1-12.
    Economy is one of the major issues in the United States presidential election campaign. In order to investigate the impact of the US presidential election on the economy, this paper first constructs an analysis model of the economic impact on the United States based on stepwise regression and principal component analysis to analyze the focus of different candidates’ attention on the economic issues and its possible impact on the US economy in the election year and after (...)
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  17. The geography of elections, 1985–1993: A principal of component analysis.C. Zafiropoulos & T. Chadjipadelis - 2001 - Topos 16:91-110.
     
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  18.  21
    Um menino no mundo.Dagmar de Mello Silva & Larissa Príncipe - 2019 - Childhood and Philosophy 15:1-19.
    This paper is the result of encounters with cinema in a course entitled Cultural Activities, a required class in the undergraduate education program of the School of Education at Brazil’s Fluminense Federal University. The goal was to produce aesthetic experiences with the moving images of cinematic language that would go beyond the usual didactic and utilitarian ways of exemplifying course content. We counted on the power of moving images to produce affective images, an aesthetic device that drives the relation between (...)
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  19.  48
    Towards empathy: a human-centred analysis of rationality, ethics and praxis in systems development.Peter J. Carew & Larry Stapleton - 2014 - AI and Society 29 (2):149-166.
    Functionalism has long been the dominant paradigm in systems development practice. However, functionalism promotes an innate and immutable instrumental rationality that is indifferent to human values, rights, society, culture and international stability. It, in essence, lacks empathy. Although alternative paradigms have been promoted for decades in the systems development literature to help address this deficit, functionalism remains dominant. This paper reiterates the call for a fundamental paradigm shift away from myopic functionalism and towards a more empathic and human-centred philosophy. It (...)
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  20.  14
    Detection Analysis of Epileptic EEG Using a Novel Random Forest Model Combined With Grid Search Optimization.Xiashuang Wang, Guanghong Gong, Ni Li & Shi Qiu - 2019 - Frontiers in Human Neuroscience 13:424082.
    In the automatic detection of epileptic seizures, the monitoring of critically ill patients with time varying EEG signals is an essential procedure in intensive care units. There is an increasing interest in using EEG analysis to detect seizure, and in this study we aim to get a better understanding of how to visualize the information in the EEG time-frequency feature, and design and train a novel random forest algorithm for EEG decoding, especially for multiple-levels of illness. Here, we propose (...)
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  21. Gulong ng Palad: The Quality of Life, Experiences and Challenges Faced by Female Tricycle Driver.Jhoselle Tus, Ken Andrei Torrero, Aron Bil, Timy Joy Juliano, Angeline Mechille Eugenio Osinaga, Josie Lynn Garcia Parinas, Ramon Principe & Franz Cedrick Yapo - 2023 - Psychology and Education: A Multidisciplinary Journal 7 (1):153-159.
    Tricycles are one of the most popular, most accessible, and least expensive forms of public transit in the Philippines. In addition to being common modes of transportation, motorcycles, and tricycles also contribute significantly to the livelihoods of millions of Filipinos who rely on them for a living. Hence, this study explores the lived experiences and challenges faced by female tricycle drivers. Employing the Interpretative Phenomenological Analysis, the findings of this study were: The participants strive to assist their husbands in (...)
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  22.  5
    Analysis of Regional Economic Development Differences Based on Intelligent Hybrid Algorithm.Yanyan Li - 2021 - Complexity 2021:1-12.
    The diversities in the natural, social, and human environment of various regions often lead to the differences in their regional economic development level and industrial structure and layout; moderate regional differences can mobilize economic vitality and improve development efficiency, but excessive differences may lead to social instability or even turbulence. Intelligent algorithms or their improved and hybrid algorithms can recently achieve more suitable solutions to practical problems of nonlinear, discrete, nondifferentiable, and multiple constraints. Therefore, this paper's main point is on (...)
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  23.  28
    Identity From Variation: Representations of Faces Derived From Multiple Instances.A. Mike Burton, Robin S. S. Kramer, Kay L. Ritchie & Rob Jenkins - 2016 - Cognitive Science 40 (1):202-223.
    Research in face recognition has tended to focus on discriminating between individuals, or “telling people apart.” It has recently become clear that it is also necessary to understand how images of the same person can vary, or “telling people together.” Learning a new face, and tracking its representation as it changes from unfamiliar to familiar, involves an abstraction of the variability in different images of that person's face. Here, we present an application of principal components analysis computed across (...)
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  24.  6
    Multivariate analysis of the impact and interdependence of teleworking with variables of productivity, efficiency, effectiveness, job satisfaction and knowledge in digital tools: a case study.Jesica Alviarez - 2022 - Minerva 3 (8):42-53.
    Based on the review and research on the teleworking modality and the variables that impact it at the organizational level, such as quality of life, communication, organizational culture or productivity, a case study is proposed under the innovation and teleworking model of a company. Japanese automotive industry for the application of Multivariate Analysis techniques such as Principal Component Analysis and Linear Regression, in order to condense the information provided by multiple variables into principal components and (...)
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  25.  8
    The Catastrophe Analysis of Shanghai Crude Oil Futures Price from the Perspective of Volatility Factors.Weifeng Gong, Yahui Li, Chuanhui Wang, Haixia Zhang & Zhengjie Zhai - 2022 - Complexity 2022:1-12.
    The volatility of Shanghai crude oil futures prices is researched in this paper. The cusp catastrophe analysis of Shanghai crude oil futures price is based on the perspective of volatility influencing factors. Some important factors are selected based on commodity attributes and financial attributes, including certain China’s macrofactors, such as producer price index and macroeconomic prosperity index. The principal component analysis is used to process the factors. The control variables of the cusp catastrophe model are extracted. (...)
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  26. Which Dimensions of Social Responsibility Concern Financial Investors?Isabelle Girerd-Potin, Sonia Jimenez-Garcès & Pascal Louvet - 2014 - Journal of Business Ethics 121 (4):559-576.
    Social and environmental ratings provided by social rating agencies are multidimensional. The first goal of our paper is to identify a small number of independent and relevant socially responsible (SR) dimensions reflecting a firms’ coherent posture toward social issues. We put forward that these dimensions are not exactly the same as the ESG ones (Environment, Social, and Governance). Using the six sub-ratings provided by the Vigeo rating agency, we perform a principal component analysis and we highlight three (...)
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  27. Identifying the Default-Mode Component in Spatial IC Analyses of Patients with Disorders of Consciousness.Christophe Phillips & Rafael Malach - unknown
    Objectives: Recent fMRI studies have shown that it is possible to reliably identify the defaultmode network (DMN) in the absence of any task, by resting-state connectivity analyses in healthy volunteers. We here aimed to identify the DMN in the challenging patient population of disorders of consciousness encountered following coma. Experimental design: A spatial independent component analysis-based methodology permitted DMN assessment, decomposing connectivity in all its different sources either neuronal or artifactual. Three different selection criteria were introduced assessing anticorrelation-corrected (...)
     
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  28.  38
    Western Financial Agents and Islamic Ethics.Eddy S. Fang & Renaud Foucart - 2014 - Journal of Business Ethics 123 (3):475-491.
    This paper investigates Western professional bankers’ perceptions of Islamic finance. Exploiting data from an original survey, we carry out a principal component analysis to characterize the main dimensions on which financial agents diverge. The PCA extracts five dimensions—accounting for 61 % of the variance in the agents’ answers—that we interpret with the help of a pilot field survey. In addition to confirm the increased association of Islamic financial values with ethical practices in the West, our results allow (...)
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  29.  97
    The Factor Structure and Rasch Analysis of the Fear of COVID-19 Scale (FCV-19S) Among Chinese Students.Wei Chen, Yuxin Liang, Xingyu Yin, Xingrong Zhou & Rongfen Gao - 2021 - Frontiers in Psychology 12:678979.
    The Fear of COVID-19 Scale (FCV-19S) is a new one-dimensional scale used to measure fear of an individual about the COVID-19. Given the seriousness of the COVID-19 situation in China when our study was taking place, our aim was to translate and examine the applicability of the FCV-19S in Chinese students. The sample used for validation comprised 2,445 Chinese students. The psychometrical characteristics of the Chinese FCV-19S (FCV-19S-C) were tested using Rasch analysis. Principal component analysis (PCA) (...)
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  30.  35
    Fault Diagnosis of Electromechanical Actuator Based on VMD Multifractal Detrended Fluctuation Analysis and PNN.Hongmei Liu, Jiayao Jing & Jian Ma - 2018 - Complexity 2018:1-11.
    Electromechanical actuators are more and more widely used as actuation devices in flight control system of aircrafts and helicopters. The reliability of EMAs is vital because it will cause serious accidents if the malfunction of EMAs occurs, so it is significant to detect and diagnose the fault of EMAs timely. However, EMAs often run under variable conditions in realistic environment, and the vibration signals of EMAs are nonlinear and nonstationary, which make it difficult to effectively achieve fault diagnosis. This paper (...)
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  31.  8
    Adaptive Gaussian Incremental Expectation Stadium Parameter Estimation Algorithm for Sports Video Analysis.Lizhi Geng - 2021 - Complexity 2021:1-10.
    In this paper, we propose an adaptive Gaussian incremental expectation stadium parameter estimation algorithm for sports video analysis and prediction through the study and analysis of sports videos. The features with more discriminative power are selected from the set of positive and negative templates using a feature selection mechanism, and a sparse discriminative model is constructed by combining a confidence value metric strategy. The sparse generative model is constructed by combining L1 regularization and subspace representation, which retains sufficient (...)
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  32.  33
    Statistical and Multidimensional Body Composition Parameter Analysis in Young Childhood Cancer Survivors.Magdalena Topczewska, Małgorzata Sawicka-Żukowska & Maryna Krawczuk-Rybak - 2014 - Studies in Logic, Grammar and Rhetoric 39 (1):25-42.
    This article concerns the problem of assessing selected body compo- sition parameters after completion of antitumor therapy and comparing them with the same parameters of healthy children. A high percentage of overweight and obesity, as well as abnormal fat distribution in convalescents with cancer shows a significant adverse effect of therapy on body composition and suggests the need for early intervention in terms of diet and exercise, which would help patients to quickly achieve the proper parameters of body composition. Two (...)
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  33.  26
    Need for enforcement of ethicolegal education – an analysis of the survey of postgraduate clinical trainees.Mayumi Mayeda & Kozo Takase - 2005 - BMC Medical Ethics 6 (1):1-12.
    Background The number of medical lawsuits in Japan was between 14 and 21 each year before 1998, but increased to 24 to 35 per year after 1999. There were 210 lawsuits during this 10-year period. There is a need for skills and knowledge related to ethics, which is as fundamental to the practice of medicine as basic sciences or clinical skills. in Japan education in ethics is relatively rare and its importance is not yet recognized. Establishing ethics education using legal (...)
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  34.  12
    Gymnastics Experience Enhances the Development of Bipedal-Stance Multi-Segmental Coordination and Control During Proprioceptive Reweighting.Albert Busquets, Blai Ferrer-Uris, Rosa Angulo-Barroso & Peter Federolf - 2021 - Frontiers in Psychology 12.
    Performance and control of upright bipedal posture requires a constant and dynamic integration of relative contributions of different sensory inputs (i. e., sensory reweighting) to enable effective adaptations as individuals face environmental changes and perturbations. Children with gymnastic experience showed balance performance closer to that of adults during and after proprioceptive alteration than children without gymnastic experience when their center of pressure (COP) was analyzed. However, a particular COP sway can be achieved through performing and coordinating different postural movements. The (...)
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  35.  15
    Fairly processing rare and common species in multivariate analysis of ecological series. Application to macrobenthic communities from algiers Harbour.C. Manté, J. Claudet & C. Rebzani-Zahaf - 2003 - Acta Biotheoretica 51 (4):277-294.
    Systematic sampling of communities gives rise to large contingency tables summing up possible changes in the assemblages' structure. Such tables are generally analysed by multivariate statistical methods, which are ill-suited for simultaneously analysing rare and common species (Field et al., 1982). In order to separately process species belonging to either of these categories, we propose a statistical method to select common species in a sequence of ecological surveys. It is based on a precise definition of rarity, and depends on a (...)
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  36.  11
    Dimensions and Clusters of Aesthetic Emotions: A Semantic Profile Analysis.Ursula Beermann, Georg Hosoya, Ines Schindler, Klaus R. Scherer, Michael Eid, Valentin Wagner & Winfried Menninghaus - 2021 - Frontiers in Psychology 12.
    Aesthetic emotions are elicited by different sensory impressions generated by music, visual arts, literature, theater, film, or nature scenes. Recently, the AESTHEMOS scale has been developed to facilitate the empirical assessment of such emotions. In this article we report a semantic profile analysis of aesthetic emotion terms that had been used for the development of this scale, using the GRID approach. This method consists of obtaining ratings of emotion terms on a set of meaning facets which represent five components (...)
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  37.  40
    Ockham's Razor and Chemistry.Roald Hoffmann, Vladimir I. Minkin & Barry K. Carpenter - 1997 - Hyle 3 (1):3 - 28.
    We begin by presenting William of Ockham's various formulations of his principle of parsimony, Ockham's Razor. We then define a reaction mechanism and tell a personal story of how Ockham's Razor entered the study of one such mechanism. A small history of methodologies related to Ockham's Razor, least action and least motion, follows. This is all done in the context of the chemical (and scientific) community's almost unthinking acceptance of the principle as heuristically valuable. Which is not matched, to put (...)
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  38.  51
    Moral agency without responsibility? Analysis of three ethical models of human-computer interaction in times of artificial intelligence (AI).Alexis Fritz, Wiebke Brandt, Henner Gimpel & Sarah Bayer - 2020 - De Ethica 6 (1):3-22.
    Philosophical and sociological approaches in technology have increasingly shifted toward describing AI (artificial intelligence) systems as ‘(moral) agents,’ while also attributing ‘agency’ to them. It is only in this way – so their principal argument goes – that the effects of technological components in a complex human-computer interaction can be understood sufficiently in phenomenological-descriptive and ethical-normative respects. By contrast, this article aims to demonstrate that an explanatory model only achieves a descriptively and normatively satisfactory result if the concepts of (...)
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  39.  8
    Stress, Sleep and Psychological Impact in Healthcare Workers During the Early Phase of COVID-19 in India: A Factor Analysis.Seshadri Sekhar Chatterjee, Madhushree Chakrabarty, Debanjan Banerjee, Sandeep Grover, Shiv Sekhar Chatterjee & Utpal Dan - 2021 - Frontiers in Psychology 12.
    Background: Risks to healthcare workers have escalated during the pandemic and they are likely to experience a greater level of stress. This cross-sectional study investigated mental distress among healthcare workers during the early phase of Coronavirus disease-2019 outbreak in India.Method: 140 healthcare workers of a tertiary care hospital in India were assessed for perceived stress and insomnia. A factor analysis with principal component method reduced these questions to four components which were categorized as insomnia, stress-related anxiety, stress-related (...)
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  40.  19
    Component analysis of the elaborative encoding effect in paired-associate learning.Frank N. Dempster & William D. Rohwer - 1974 - Journal of Experimental Psychology 103 (3):400.
  41.  24
    Independent Component Analysis of Gait-Related Movement Artifact Recorded using EEG Electrodes during Treadmill Walking.Kristine L. Snyder, Julia E. Kline, Helen J. Huang & Daniel P. Ferris - 2015 - Frontiers in Human Neuroscience 9.
  42.  12
    Independent Component Analysis and Source Localization on Mobile EEG Data Can Identify Increased Levels of Acute Stress.Bryan R. Schlink, Steven M. Peterson, W. D. Hairston, Peter König, Scott E. Kerick & Daniel P. Ferris - 2017 - Frontiers in Human Neuroscience 11.
  43.  16
    A component analysis of natural language mediators obtained in paired-associate learning.Jerry M. Owens, Pamela R. Werder & Philip H. Marshall - 1974 - Bulletin of the Psychonomic Society 4 (5):512-514.
  44. French Phonological Component Analysis and aphasia recovery: A bilingual perspective on behavioral and structural data.Michèle Masson-Trottier, Tanya Dash, Pierre Berroir & Ana Inés Ansaldo - 2022 - Frontiers in Human Neuroscience 16:752121.
    Studies show bilingualism entails an advantage in cognitive control tasks. There is evidence of a bilingual advantage in the context of aphasia, resulting in better cognitive outcomes and recovery in bilingual persons with aphasia compared to monolingual peers. This bilingual advantage also results in structural changes in the right hemisphere gray matter. Very few studies have examined the so-called bilingual advantage by reference to specific anomia therapy efficacy. This study aims to compare the effect of French-Phonological Component Analysis (...)
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  45. Philosophers on Philosophy: The 2020 PhilPapers Survey.David Bourget & David J. Chalmers - 2023 - Philosophers' Imprint 23 (11).
    What are the philosophical views of professional philosophers, and how do these views change over time? The 2020 PhilPapers Survey surveyed around 2000 philosophers on 100 philosophical questions. The results provide a snapshot of the state of some central debates in philosophy, reveal correlations and demographic effects involving philosophers' views, and reveal some changes in philosophers' views over the last decade.
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  46.  31
    Psychometric evaluation of the Moral Distress Scale–Revised among Iranian Nurses.Mohammad Ali Soleimani, Saeed Pahlevan Sharif, Ameneh Yaghoobzadeh & Bianca Panarello - 2019 - Nursing Ethics 26 (4):1226-1242.
    Background:Experiencing moral distress is traumatic for nurses. Ignoring moral distress can lead to job dissatisfaction, improper handling in the care of patients, or even leaving the job. Thus, it is crucial to use valid and reliable instruments to measure moral distress.Objective:The purpose of this study was to determine the reliability and the validity of the Persian version of the Moral Distress Scale–Revised among a sample of Iranian nurses.Research design:In this methodological study, 310 nurses were recruited from all hospitals affiliated with (...)
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  47.  15
    共起データに基づく名詞の多次元空間への配置.田中 省作 冨浦 洋一 - 2004 - Transactions of the Japanese Society for Artificial Intelligence 19:1-9.
    The semantic similarity between words is one of the basic knowledge in Natural Language Processing. There have been several previous studies on measuring the similarity based on word vectors in a multi-dimensional space. In those studies, high dimensional feature vectors of words are made from words' cooccurrence in a corpus or from reference relation in a dictionary, and then the word vectors are calculated from the feature vectors through the method like principal component analysis. This paper proposes (...)
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  48.  13
    Generalized Structured Component Analysis with Uniqueness Terms for Accommodating Measurement Error.Heungsun Hwang, Yoshio Takane & Kwanghee Jung - 2017 - Frontiers in Psychology 8.
    Generalized structured component analysis (GSCA) is a component-based approach to structural equation modeling (SEM), where latent variables are approximated by weighted composites of indicators. It has no formal mechanism to incorporate errors in indicators, which in turn renders components prone to the errors as well. We propose to extend GSCA to account for errors in indicators explicitly. This extension, called GSCA_M, considers both common and unique parts of indicators, as postulated in common factor analysis, and estimates (...)
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  49. A field theory of consciousness.E. Roy John - 2001 - Consciousness and Cognition 10 (2):184-213.
    This article summarizes a variety of current as well as previous research in support of a new theory of consciousness. Evidence has been steadily accumulating that information about a stimulus complex is distributed to many neuronal populations dispersed throughout the brain and is represented by the departure from randomness of the temporal pattern of neural discharges within these large ensembles. Zero phase lag synchronization occurs between discharges of neurons in different brain regions and is enhanced by presentation of stimuli. This (...)
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    Assisted Diagnosis of Alzheimer’s Disease Based on Deep Learning and Multimodal Feature Fusion.Yu Wang, Xi Liu & Chongchong Yu - 2021 - Complexity 2021:1-10.
    With the development of artificial intelligence technologies, it is possible to use computer to read digital medical images. Because Alzheimer’s disease has the characteristics of high incidence and high disability, it has attracted the attention of many scholars, and its diagnosis and treatment have gradually become a hot topic. In this paper, a multimodal diagnosis method for AD based on three-dimensional shufflenet and principal component analysis network is proposed. First, the data on structural magnetic resonance imaging and (...)
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