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Rational and Continuous Measurement of the Emotional Decision Making in Visual Recognition of Facial Emotional Expressions with M.A.R.I.E.: First Half

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Open Journal of Psychiatry 2024年第3期14卷 223-264页

作者： Philippe Granato Shreekumar Vinekar Jean-Pierre Van Gansberghe Raymond Bruyer Unité de R&#233habilitation Psycho-sociale Service de Psychiatrie Centre Hospitalier de Denain Denain France Department of Psychiatry and Behavioral Sciences College of Medicine University of Oklahoma Oklahoma City USA Brussels Belgium Institute of Psychological Sciences Center of Neuroscience Cognition and Systems University of Louvain Louvain la Neuve Belgium

Context: The advent of Artificial Intelligence (AI) requires modeling prior to its implementation in algorithms for most human skills. This observation requires us to have a detailed and precise understanding of the interfaces of verbal and emotional communications. The progress of AI is significant on the verbal level but modest in terms of the recognition of facial emotions even if this functionality is one of the oldest in humans and is omnipresent in our daily lives. Dysfunction in the ability for facial emotional expressions is present in many brain pathologies encountered by psychiatrists, neurologists, psychotherapists, mental health professionals including social workers. It cannot be objectively verified and measured due to a lack of reliable tools that are valid and consistently sensitive. Indeed, the articles in the scientific literature dealing with Visual-Facial-Emotions-Recognition (ViFaEmRe), suffer from the absence of 1) consensual and rational tools for continuous quantified measurement, 2) operational concepts. We have invented a software that can use computer-morphing attempting to respond to these two obstacles. It is identified as the Method of Analysis and Research of the Integration of Emotions (M.A.R.I.E.). Our primary goal is to use M.A.R.I.E. to understand the physiology of ViFaEmRe in normal healthy subjects by standardizing the measurements. Then, it will allow us to focus on subjects manifesting abnormalities in this ability. Our second goal is to make our contribution to the progress of AI hoping to add the dimension of recognition of facial emotional expressions. Objective: To study: 1) categorical vs dimensional aspects of recognition of ViFaEmRe, 2) universality vs idiosyncrasy, 3) immediate vs ambivalent Emotional-Decision-Making, 4) the Emotional-Fingerprint of a face and 5) creation of population references data. Methods: With M.A.R.I.E. enable a rational quantified measurement of Emotional-Visual-Acuity (EVA) of 1) a) an individu

关键词： M.A.R.I.E. Universality idiosyncrasy Measurement of Emotional Quotient Emotional Fingerprint Emotional Decision-Making Limbic Lobe

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Rational and Continuous Measurement of Emotional-Fingerprint, Emotional-Quotient and Categorical vs Proportional Recognition of Facial Emotions with M.A.R.I.E., Second Half

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Open Journal of Psychiatry 2024年第4期14卷 400-450页

作者： Philippe Granato Shreekumar Vinekar Jean-Pierre Van Gansberghe Raymond Bruyer Unit de Rhabilitation Psycho-Sociale Service de Psychiatrie Centre Hospitalier de Denain Denain France Department of Psychiatry and Behavioral Sciences College of Medicine University of Oklahoma Oklahoma City USA Mathematics Consultant Brussels Belgium Institute of Psychological Sciences Center of Neuroscience Cognition and Systems University of Louvain Louvain-la-Neuve Belgium

Context: The advent of Artificial Intelligence (AI) requires modeling prior to its implementation in algorithms for most human skills. This observation requires us to have a detailed and precise understanding of the interfaces of verbal and emotional communications. The progress of AI is significant on the verbal level but modest in terms of the recognition of facial emotions even if this functionality is one of the oldest in humans and is omnipresent in our daily lives. Dysfunction in the ability for facial emotional expressions is present in many brain pathologies encountered by psychiatrists, neurologists, psychotherapists, mental health professionals including social workers. It cannot be objectively verified and measured due to a lack of reliable tools that are valid and consistently sensitive. Indeed, the articles in the scientific literature dealing with Visual-Facial-Emotions-Recognition (ViFaEmRe), suffer from the absence of 1) consensual and rational tools for continuous quantified measurement, 2) operational concepts. We have invented a software that can use computer-morphing attempting to respond to these two obstacles. It is identified as the Method of Analysis and Research of the Integration of Emotions (M.A.R.I.E.). Our primary goal is to use M.A.R.I.E. to understand the physiology of ViFaEmRe in normal healthy subjects by standardizing the measurements. Then, it will allow us to focus on subjects manifesting abnormalities in this ability. Our second goal is to make our contribution to the progress of AI hoping to add the dimension of recognition of facial emotional expressions. Objective: To study: 1) categorical vs dimensional aspects of recognition of ViFaEmRe, 2) universality vs idiosyncrasy, 3) immediate vs ambivalent Emotional-Decision-Making, 4) the Emotional-Fingerprint of a face and 5) creation of population references data. Methods: M.A.R.I.E. enables the rational, quantified measurement of Emotional Visual Acuity (EVA) in an individual obse

关键词： M.A.R.I.E. Universality idiosyncrasy Measurement of Emotional Quotient Emotional Fingerprint Emotional Decision-Making Limbic Lobe

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Life cycle and masting of a recovering keystone indicator species under climate fluctuation

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Ecosystem Health and Sustainability 2016年第6期2卷 16-27页

作者： Qinfeng Guo Stanley J.Zarnoch Xiongwen Chen Dale G.Brockway USDA FS Eastern Forest Environmental Threat Assessment Center 3041 Cornwallis Road Research Triangle ParkNorth Carolina 27709 USA USDA Forest Service Southern Research StationClemson UniversityLehotsky HallClemsonSouth Carolina 29634 USA Department of Biological and Environmental Sciences Alabama A&M UniversityP.O.Box 1927NormalAlabama 35762 USA USDA Forest Service Southern Research Station521 Devall DriveAuburnAlabama 36849 USA

Ecosystem health and sustainability,to a large degree,depend on the performance of keystone or dominant *** role of climate on population dynamics of such species has been extensively examined,especially for health indicator *** the life-cycle processes and response lags for many species could complicate efforts to detect clear climate *** pine(Pinus palustris Mill.)is such a keystone tree species in the southeastern United States that has declined in both abundance and distribu-tion during the past *** research efforts on multiple fronts,the mechanisms behind the large spatial and temporal fluctuations in cone production that affects its regeneration are largely *** the basis of long-term(15-56 yr)monitoring data at 10 sites across the species’native range,we examine the spatial and temporal patterns in cone production and possible climatic effects on those patterns using the information-theoretic *** production exhibited great variation across sites and years,and long-term data revealed a weak,ca.3 yr cycle(4 in one case)across the native *** effects of climate were rather complex,most likely due to a mismatch between the prolonged cone-production life cycle process and climatic ***,sites close to each other generally showed similar physical conditions and temporal trends in cone *** sites within longleaf pine’s range,moderate climate conditions appear to promote cone *** most sites,there was an increasing trend in cone production,but how such a trend might be linked to climate change requires further investigation.

关键词： idiosyncrasy life history Moran effect Pinus palustris regeneration sustainability synchrony time lag wavelet analysis

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