scholarly journals Informing the Classification of Positive Emotional Experiences: A Multisample Examination of Hierarchical Models of Positive Emotionality

2020 ◽  
Author(s):  
Kasey Stanton

Despite being multifaceted in nature, positive emotional (PE) experiences often are studied using only global PE ratings, and measures assessing more specific PE facets do not converge in their assessment approaches. To address these issues, we examined hierarchical factor structures of ratings of positive emotionality, which reflect propensities for experiencing PE, in both online community adult (N = 375) and undergraduate (N = 447) samples. Preregistered analyses indicated (a) a basic distinction between tendencies to experience social affection and other PE types, and that (b) PE ratings define as many as four replicable factors of Joviality, Social Affection, Serenity, and Attentiveness. These PE dimensions also showed divergent personality and psychopathology correlates in some ways. Collectively, these results highlight the need to consider distinct PE facets in addition to global PE ratings when assessing PE, as well as the need for additional research clarifying PE structure at different levels of abstraction.

2004 ◽  
Vol 5 (2) ◽  
pp. 156-162 ◽  
Author(s):  
Ulrike Wittig ◽  
Andreas Weidemann ◽  
Renate Kania ◽  
Christian Peiss ◽  
Isabel Rojas

Data quality in biological databases has become a topic of great discussion. To provide high quality data and to deal with the vast amount of biochemical data, annotators and curators need to be supported by software that carries out part of their work in an (semi-) automatic manner. The detection of errors and inconsistencies is a part that requires the knowledge of domain experts, thus in most cases it is done manually, making it very expensive and time-consuming. This paper presents two tools to partially support the curation of data on biochemical pathways. The tool enables the automatic classification of chemical compounds based on their respective SMILES strings. Such classification allows the querying and visualization of biochemical reactions at different levels of abstraction, according to the level of detail at which the reaction participants are described. Chemical compounds can be classified in a flexible manner based on different criteria. The support of the process of data curation is provided by facilitating the detection of compounds that are identified as different but that are actually the same. This is also used to identify similar reactions and, in turn, pathways.


2021 ◽  
Vol 229 ◽  
pp. 01025
Author(s):  
Kaoutar Aamali ◽  
Abdelhakim Alali ◽  
Mohamed Sadik ◽  
Zineb El Hariti

Simulating systems on a chip (SoC) even before starting its productivity makes it possible to validate the correct functioning of the systems, also avoiding the manufacture of defective chips. However, low-level design and system complexity makes verification and simulation more complicated and time consuming. The classification of the different levels of abstraction from lowest to highest generally depends on the estimation accuracy of the system performance and the speed of simulation. The RTL (Register Transfer Level) abstraction level allows efficient description at gate level with good precision. Therefore, RTL program are slowly simulated. Simulation speed usually depends on the size of the platform used, which is not the case for transaction level modeling (TLM) to achieve simulation speed based on the exchange of transactions between system modules. This work aims to give a detailed description of the different levels of abstraction with the main advantages, and disadvantages on the performances estimation side such as, energy consumption, precision, and speed. Furthermore, an overview of the most adequate memory architectures and interconnection networks, to aim the most suitable virtual platforms of simulation for SoC.


1996 ◽  
Vol 35 (04/05) ◽  
pp. 334-342 ◽  
Author(s):  
K.-P. Adlassnig ◽  
G. Kolarz ◽  
H. Leitich

Abstract:In 1987, the American Rheumatism Association issued a set of criteria for the classification of rheumatoid arthritis (RA) to provide a uniform definition of RA patients. Fuzzy set theory and fuzzy logic were used to transform this set of criteria into a diagnostic tool that offers diagnoses at different levels of confidence: a definite level, which was consistent with the original criteria definition, as well as several possible and superdefinite levels. Two fuzzy models and a reference model which provided results at a definite level only were applied to 292 clinical cases from a hospital for rheumatic diseases. At the definite level, all models yielded a sensitivity rate of 72.6% and a specificity rate of 87.0%. Sensitivity and specificity rates at the possible levels ranged from 73.3% to 85.6% and from 83.6% to 87.0%. At the superdefinite levels, sensitivity rates ranged from 39.0% to 63.7% and specificity rates from 90.4% to 95.2%. Fuzzy techniques were helpful to add flexibility to preexisting diagnostic criteria in order to obtain diagnoses at the desired level of confidence.


Sensors ◽  
2021 ◽  
Vol 21 (15) ◽  
pp. 5136
Author(s):  
Bassem Ouni ◽  
Christophe Aussagues ◽  
Saadia Dhouib ◽  
Chokri Mraidha

Sensor-based digital systems for Instrumentation and Control (I&C) of nuclear reactors are quite complex in terms of architecture and functionalities. A high-level framework is highly required to pre-evaluate the system’s performance, check the consistency between different levels of abstraction and address the concerns of various stakeholders. In this work, we integrate the development process of I&C systems and the involvement of stakeholders within a model-driven methodology. The proposed approach introduces a new architectural framework that defines various concepts, allowing system implementations and encompassing different development phases, all actors, and system concerns. In addition, we define a new I&C Modeling Language (ICML) and a set of methodological rules needed to build different architectural framework views. To illustrate this methodology, we extend the specific use of an open-source system engineering tool, named Eclipse Papyrus, to carry out many automation and verification steps at different levels of abstraction. The architectural framework modeling capabilities will be validated using a realistic use case system for the protection of nuclear reactors. The proposed framework is able to reduce the overall system development cost by improving links between different specification tasks and providing a high abstraction level of system components.


2016 ◽  
Author(s):  
Arnold Gehlen

Moral and Hypermoral, Arnold Gehlen´s final book-length publication, is an elaboration on basic theses which had initially been brought forward in Gehlen´s anthropological magnum opus "Der Mensch". In this respect, this draft of a "pluralistic ethics" is conceived as an elaboration on as well as a concretion of his doctrine of man. In this book, Gehlen set himself the task of combining anthropology, behavioral science, and sociology in a “genealogy of morality”, thus exposing four interdependent forms of ethics: from an ethos of "reciprocity" via “eudaimonism” and “humanitarianism” to an ethos of institutions, including the state. Gehlen made a decisive stand against the "abstract ethics of the Enlightenment": systematically, his book is primarily an anthropological justification of ethics, conceived as a "majority of moral authorities" and "social regulations." These are not subjected to an evolutionary interpretation, that is, as progress from an ethics of proximity to a world-encompassing morality. Moralities, whether based on instinct or arising from the needs of particular institutions, are always culturally shaped and set on different levels of abstraction. With its broad scope, the book belongs in the context of basic philosophical-sociological research known as philosophical anthropology.


2013 ◽  
Vol 2013 ◽  
pp. 1-14 ◽  
Author(s):  
Yanlong Sun ◽  
Hongbin Wang

According to the data-frame theory, sensemaking is a macrocognitive process in which people try to make sense of or explain their observations by processing a number of explanatory structures called frames until the observations and frames become congruent. During the sensemaking process, the parietal cortex has been implicated in various cognitive tasks for the functions related to spatial and temporal information processing, mathematical thinking, and spatial attention. In particular, the parietal cortex plays important roles by extracting multiple representations of magnitudes at the early stages of perceptual analysis. By a series of neural network simulations, we demonstrate that the dissociation of different types of spatial information can start early with a rather similar structure (i.e., sensitivity on a common metric), but accurate representations require specific goal-directed top-down controls due to the interference in selective attention. Our results suggest that the roles of the parietal cortex rely on the hierarchical organization of multiple spatial representations and their interactions. The dissociation and interference between different types of spatial information are essentially the result of the competition at different levels of abstraction.


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