The Penalty Clause & the Fourteenth Amendment’s Consistency on Universal Representation

2020 ◽  
Author(s):  
Ethan Herenstein ◽  
Yurij Rudensky
Keyword(s):  
Universal Representation

scholarly journals The universal representation kernel of a Lie group

1960 ◽  
Vol 11 (4) ◽  
pp. 625-625 ◽  
Author(s):  
G. Hochschild
Keyword(s):  
Lie Group ◽  
Universal Representation

Machine Learning and Cognitive Algorithms for Engineering Applications

2013 ◽  
Vol 7 (4) ◽  
pp. 64-82 ◽  
Author(s):  
Leonid Perlovsky ◽  
Gary Kuvich
Keyword(s):  
Fuzzy Logic ◽  
Cognitive Processes ◽  
Future Research ◽  
Abstract Concepts ◽  
Cognitive Mechanisms ◽  
Research Directions ◽  
Semiotic Approach ◽  
Future Research Directions ◽  
The Brain ◽  
Universal Representation

Mind is based on intelligent cognitive processes, which are not limited by language and logic only. The thought is a set of informational processes in the brain, and such processes have the same rationale as any other systematic informational processes. Their specifics are determined by the ways of how brain stores, structures, and process this information. Systematic approach allows representing them in a diagrammatic form that can be formalized. Semiotic approach allows for the universal representation of such diagrams. In that approach, logic is a way of synthesis of such structures, which is a small but clearly visible top of the iceberg. The most efforts were traditionally put into logics without paying much attention to the rest of the mechanisms that make the entire thought system working autonomously. Dynamic fuzzy logic is reviewed and its connections with semiotics are established. Dynamic fuzzy logic extends fuzzy logic in the direction of logic-processes, which include processes of fuzzification and defuzzification as parts of logic. The paper reviews basic cognitive mechanisms, including instinctual drives, emotional and conceptual mechanisms, perception, cognition, language, a model of interaction between language and cognition upon the new semiotic models. The model of interacting cognition and language is organized in an approximate hierarchy of mental representations from sensory percepts at the “bottom” to objects, contexts, situations, abstract concepts-representations, and to the most general representations at the “top” of mental hierarchy. Knowledge Instinct and emotions are driving feedbacks for these representations. Interactions of bottom-up and top-down processes in such hierarchical semiotic representation are essential for modeling cognition. Dynamic fuzzy logic is analyzed as a fundamental mechanism of these processes. Future research directions are discussed.

A Universal Representation of the States of Chemical Matter Including Metastable Configurations in Phase Diagrams

2011 ◽  
Vol 124 (1) ◽  
pp. 136-139 ◽  
Author(s):  
Martin Jansen ◽  
Ilya V. Pentin ◽  
J. Christian Schön
Keyword(s):  
Phase Diagrams ◽  
Universal Representation ◽  
Chemical Matter

scholarly journals On the universal representation of the scattering matrix of affine Toda field theory

2000 ◽  
Vol 567 (3) ◽  
pp. 409-453 ◽  
Author(s):  
A. Fring ◽  
C. Korff ◽  
B.J. Schulz
Keyword(s):  
Field Theory ◽  
Scattering Matrix ◽  
Universal Representation ◽  
Toda Field Theory

scholarly journals Cyano-assassins: Widespread cyanogenic production from cyanobacteria

2020 ◽  
Author(s):  
Manthos Panou ◽  
Spyros Gkelis
Keyword(s):  
Nitrogen Fixation ◽  
Secondary Metabolism ◽  
Hydrogen Cyanide ◽  
Aquatic Ecosystems ◽  
Study Material ◽  
Universal Representation

AbstractCyanobacteria have been linked with hydrogen cyanide, based on their ability to catabolize it by the nitrogenase enzyme, as a part of nitrogen fixation. Nitrogenase can also use hydrogen cyanide instead of its normal substrate, dinitrogen and convert it to methane and ammonia. In this study, we tested whether cyanobacteria are able, not only to reduce, but also to produce HCN. The production of HCN was examined in 78 cyanobacteria strains from all five principal sections of cyanobacteria, both non-heterocytous and heterocytous, representing a variety of lifestyles and habitats. Twenty-eight (28) strains were found positive for HCN production, with universal representation amongst 22 cyanobacterial planktic and epilithic genera inhabiting freshwater, brackish, marine (including sponges), and terrestrial (including anchialine) habitats. The HCN production could be linked with nitrogen fixation, as all of HCN producing strains are considered capable of fixing nitrogen. Epilithic lifestyle, where cyanobacteria are more vulnerable to a number of grazers and accumulate more glycine, had the largest percentage (75%) of HCN-producing cyanobacteria compared to strains from aquatic ecosystems. Further, we demonstrate the isolation and characterisation of taxa like Geitleria calcarea and Kovacikia muscicola, for which no strain existed and Chlorogloea sp. TAU-MAC 0618 which is, to the best of our knowledge, the first bacterium isolate from anchialine ecosystems. Our results highlight the complexity of cyanobacteria secondary metabolism, as well as the diversity of cyanobacteria in underexplored habitats, providing a missing study material for this type of environments.

scholarly journals Quantum Process Semantics

2021 ◽  
Author(s):  
Ilya Surov
Keyword(s):  
Human Cognition ◽  
Standard View ◽  
Quantum Process ◽  
Process Stage ◽  
Causal Ordering ◽  
Fundamental Oscillation ◽  
Vector Structure ◽  
Oscillation Dynamics ◽  
Semantic Dimension ◽  
Universal Representation

The paper describes a model of subjective goal-oriented semantics extending standard "view-from-nowhere" approach. Generalization is achieved by using a spherical vector structure essentially supplementing the classical bit with circular dimension, organizing contexts according to their subjective causal ordering. This structure, known in quantum theory as qubit, is shown to be universal representation of contextual-situated meaning at the core of human cognition. Subjective semantic dimension, inferred from fundamental oscillation dynamics, is discretized to six process-stage prototypes expressed in common language. Predicted process-semantic map of natural language terms is confirmed by the open-source word2vec data.

scholarly journals Towards Universal Representation Learning for Deep Face Recognition

2020 ◽  
Author(s):  
Yichun Shi ◽  
Xiang Yu ◽  
Kihyuk Sohn ◽  
Manmohan Chandraker ◽  
Anil K. Jain
Keyword(s):  
Face Recognition ◽  
Representation Learning ◽  
Universal Representation

scholarly journals Universal Representation for Code

2021 ◽  
pp. 16-28
Author(s):  
Linfeng Liu ◽  
Hoan Nguyen ◽  
George Karypis ◽  
Srinivasan Sengamedu
Keyword(s):  
Universal Representation

On Universal Representation of Random Graphs

2003 ◽  
Vol 7 (3) ◽  
pp. 299-313
Author(s):  
Andrzej Korzeniowski
Keyword(s):  
Random Graphs ◽  
Universal Representation
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