ORCID Profile
0000-0003-2251-6860
Current Organisations
University of Alberta
,
University of North Carolina at Chapel Hill
,
Politecnico di Torino
,
Helping Give Away Psychological Science
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Publisher: Neural Press
Date: 28-05-2022
DOI: 10.56280/1531676736
Abstract: We define quantum analogs as vibrational excitations of quasiparticles coupled to electromagnetically-mediated resonance energy transfer in water (a crystal lattice). This paper addresses how neural magnetic resonance spectra of the brain’s magnetic field influence dipolar oscillation waves in crystal lattices of interfacial water molecules to produce correlates of phenomenal consciousness. We explore dipolar oscillation waves in hydrophobic protein cavities of aromatic amino acids as a conduit for coherent propagation of vibrational excitation and hydrogen bond distortion associated with phase coherence present in the magnetic field intensity oscillations at a frequency at which the energy switches from its trapped form as excited phonon states to free, cavity-mode magnetic field energy states. A quasi-polaritons that reflect “hydro-ionic waves” is a macroscopic quantum effect of crystal lattice vibrations, consisting of vibron polaritons coupled to ions across the neocortex, except the cerebellum, due to the absence of protein-protein interactions. They are quantum-like at the core and hence can exhibit quantum-like signaling properties when resonant energy is transferred as dipolar waves in hydrophobic protein cavities of aromatic amino acids. This is due to aromatic residue flexibility in molecular electromagnetic resonances. Finally, the archetypal molecular patterning of conscious experiences, which carries an inherent ambiguity necessary for non-contextually applying ‘meaning’ that encompasses cognitive signatures of conscious experience, satisfies the nature of quantum analogs and their transmutative properties.
Publisher: IOS Press
Date: 03-02-2022
DOI: 10.3233/SW-210444
Abstract: Information related to the COVID-19 pandemic ranges from biological to bibliographic, from geographical to genetic and beyond. The structure of the raw data is highly complex, so converting it to meaningful insight requires data curation, integration, extraction and visualization, the global crowdsourcing of which provides both additional challenges and opportunities. Wikidata is an interdisciplinary, multilingual, open collaborative knowledge base of more than 90 million entities connected by well over a billion relationships. It acts as a web-scale platform for broader computer-supported cooperative work and linked open data, since it can be written to and queried in multiple ways in near real time by specialists, automated tools and the public. The main query language, SPARQL, is a semantic language used to retrieve and process information from databases saved in Resource Description Framework (RDF) format. Here, we introduce four aspects of Wikidata that enable it to serve as a knowledge base for general information on the COVID-19 pandemic: its flexible data model, its multilingual features, its alignment to multiple external databases, and its multidisciplinary organization. The rich knowledge graph created for COVID-19 in Wikidata can be visualized, explored, and analyzed for purposes like decision support as well as educational and scholarly research.
Publisher: Wiley
Date: 10-01-2008
DOI: 10.1111/J.1399-5618.2007.00556.X
Abstract: The Diagnostic Guidelines Task Force of the International Society for Bipolar Disorders (ISBD) presents in this document and this special issue a summary of the current nosological status of bipolar illness, a discussion of possible revisions to current DSM-IV and ICD-10 definitions, an examination of the relevant literature, explication of areas of consensus and dissensus, and proposed definitions that might guide clinicians in the most valid approach to diagnosis of these conditions given the current state of our knowledge.
Publisher: American Psychological Association (APA)
Date: 2013
DOI: 10.1037/A0033975
Publisher: Informa UK Limited
Date: 02-01-2023
Publisher: Elsevier BV
Date: 02-2012
Publisher: WikiJournal User Group
Date: 2020
Abstract: Beyond public health and economic costs, the COVID-19 pandemic adds strain, disrupts daily routines, and complicates mental health and medical service delivery for those with mental health and medical conditions. Bipolar disorder can increase vulnerability to infection it can also enhance stress, complicate treatment, and heighten interpersonal stigma. Yet there are successes when people proactively improve social connections, prioritize self-care, and learn to effectively use mobile and telehealth.
Publisher: Elsevier BV
Date: 11-2018
DOI: 10.1016/J.BIOSYSTEMS.2018.08.007
Abstract: Myriads of signaling pathways in a single cell function to achieve the highest spatio-temporal integration. Data are accumulating on the role of electromechanical soliton-like waves in signal transduction processes. Theoretical studies strongly suggest feasibility of both classical and quantum computing involving microtubules. A theoretical study of the role of the complex composed of the plasma membrane and the microtubule-based cytoskeleton as a system that transmits, stores and processes information. Theoretical analysis presented here refers to (i) the Penrose-Hameroff theory of consciousness (Orchestrated Objective Reduction Orch OR), (ii) the description of the centrosome as a reference system for construction of the 3D map of the cell proposed by Regolini, (iii) the Heimburg-Jackson model of the nerve pulse propagation along axons' lipid bilayer as soliton-like electro-mechanical waves. The ideas presented in this paper provide a qualitative model for the decision-making processes in a living cell undergoing a differentiation process. This paper paves the way for the real-time live-cell observation of information processing by microtubule-based cytoskeleton and cell fate decision making.
Publisher: Elsevier BV
Date: 03-2022
DOI: 10.1016/J.JAAC.2021.08.006
Abstract: Despite being a core diagnostic feature of autism spectrum disorder (ASD), demographic, developmental and clinical correlates of restricted and repetitive behaviors and interests (RRB) remain poorly characterized. This study aimed to utilize the largest available RRB data set to date to provide a comprehensive characterization of how distinct RRB domains vary according to a range of in idual characteristics. Data were obtained from 17,581 children and adolescents with ASD (mean Male sex was associated with higher severity of repetitive motor behaviors and restricted interests and with lower severity of compulsions and self-injurious behaviors no sex differences were found for the insistence on sameness domain. Although repetitive motor behaviors showed a mostly linear (negative) association with age, other RRB domains showed more complex and nonlinear pattern of associations. Higher severity of social and communication impairments provided significant independent contribution in predicting higher severity of all RRB domains at the p < .001 level however, these effects were small (d < 0.25). The strongest of these effects was observed for insistence on sameness (d = 0.24), followed by repetitive motor behaviors (d = 0.21), compulsions (d = 0.17), restricted interests (d = 0.14), and self-injurious behaviors (d = 0.12). Findings reported here provide further evidence that RRB subdomains show a somewhat distinct pattern of associations with demographic, developmental, and clinical variables, with a key implication that separate consideration of these domains can help to facilitate efforts to understand erse ASD etiology and to inform the design of effective interventions.
Location: United States of America
Location: United States of America
No related grants have been discovered for Eric Arden Youngstrom.