The Negative Component of Hindu Consciousness

Abstract Form features intrinsic to the product shape can be recognized using a convex decomposition called Alternating Sum of Volumes with Partitioning (ASVP). Since the form feature decomposition is compact and faithful to the product shape, it includes both positive and negative components. For machining applications, the positive components are converted into corresponding negative components to represent the removal volume. The positive to negative conversion is done in top-down manner by abstracting the positive components using halfspaces determined by the original faces and combining with the parent negative component. In this paper, we describe the considerations in handling interacting sibling positive components which have a common parent component.

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Neural correlates of pride and joy recognition in early childhood

Social Behavior and Personality An International Journal ◽

10.2224/sbp.10329 ◽

2021 ◽

Vol 49 (9) ◽

pp. 1-13

Author(s):

Yue Jiang

Keyword(s):

Early Childhood ◽

Neural Mechanism ◽

Neural Correlates ◽

Event Related Potential ◽

Central Component ◽

Positive Component ◽

Negative Component ◽

Late Positive Component ◽

Three Stages ◽

Insight Into

I investigated neural processing during the recognition of pride and joy in early childhood using the event-related potential (ERP) technique. Electroencephalography recording was taken of 21 children aged between 4 and 6 years. They were shown photographs of familiar peers and strangers whose facial expressions displayed the emotion of either pride or joy. ERPs were recorded for the children's judgment of the expression of these two emotions when an image was presented. The results demonstrate that the neural dynamics during children's recognition of pride and joy involve three stages: The early negative component is spontaneously responsive to familiar faces, the midlatency negative central component is responsive to expression of familiar faces, and the late positive component marks greater extended processing of an expression of pride. These findings provide new insight into the neural mechanism of pride and joy recognition in children aged 4 to 6 years.

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Conclusion

Leprosy and Colonialism ◽

10.7228/manchester/9781526112996.003.0011 ◽

2017 ◽

Author(s):

Stephen Snelders

Keyword(s):

Economic Systems ◽

European Identity ◽

Negative Component ◽

European Economic ◽

Self And Other ◽

Racial Boundaries ◽

Contagious Diseases ◽

African Slaves ◽

Hardt And Negri ◽

Economic Foundation

For Caribbean plantation economies to function and prosper, European colonizers needed Others – African slaves. In Empire, Michael Hardt and Toni Negri write about this production of Others, the creation of racial boundaries, and the dark Other as the negative component of European identity as well as the economic foundation of European economic systems. They identify contagious diseases as one of the most important threats to the boundaries between self and Other. For Hardt and Negri, ‘The horror released by European conquest and colonization is a horror of unlimited content, flow and exchange – or really the horror of contagion, miscegenation and unbanded life. Hygiene requires protective barriers.’...

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The Negative Component of Neutral Policy

Neutrality and Small States ◽

10.4324/9780203721308-11 ◽

2012 ◽

pp. 70-84

Keyword(s):

Negative Component

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The exact asymptotics of the large deviation probabilities in the multivariate boundary crossing problem

Advances in Applied Probability ◽

10.1017/apr.2019.28 ◽

2019 ◽

Vol 51 (03) ◽

pp. 835-864 ◽

Cited By ~ 4

Author(s):

Yuqing Pan ◽

Konstantin A. Borovkov

Keyword(s):

Large Deviation ◽

Risk Process ◽

Boundary Crossing ◽

Moment Condition ◽

Two Dimensional ◽

Exact Asymptotics ◽

Negative Component ◽

Positive Orthant ◽

Mean Vector ◽

Target Sets

AbstractFor a multivariate random walk with independent and identically distributed jumps satisfying the Cramér moment condition and having mean vector with at least one negative component, we derive the exact asymptotics of the probability of ever hitting the positive orthant that is being translated to infinity along a fixed vector with positive components. This problem is motivated by and extends results of Avram et al. (2008) on a two-dimensional risk process. Our approach combines the large deviation techniques from a series of papers by Borovkov and Mogulskii from around 2000 with new auxiliary constructions, enabling us to extend their results on hitting remote sets with smooth boundaries to the case of boundaries with a ‘corner’ at the ‘most probable hitting point’. We also discuss how our results can be extended to the case of more general target sets.

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Negative component observed in the angular dependence of magnetoresistance in the single crystal of Pr x Y1−x Ba2Cu3O7−δ

Czechoslovak Journal of Physics ◽

10.1007/bf02562805 ◽

1996 ◽

Vol 46 (S3) ◽

pp. 1381-1382

Author(s):

Shigeki Yamada ◽

Hiroyuki Hoshi ◽

Hidehiro Nakata ◽

Shinji Kuroda ◽

Kôki Takita

Keyword(s):

Single Crystal ◽

Angular Dependence ◽

Negative Component

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Components of the evoked potential in the MES auditory cortex

American Journal of Physiology-Legacy Content ◽

10.1152/ajplegacy.1960.199.3.529 ◽

1960 ◽

Vol 199 (3) ◽

pp. 529-534 ◽

Cited By ~ 2

Author(s):

Archie R. Tunturi

Keyword(s):

Standard Deviation ◽

Auditory Cortex ◽

Electrical Activity ◽

Evoked Potential ◽

Random Variable ◽

Positive Component ◽

Negative Component ◽

Spontaneous Electrical Activity ◽

Covariance Term ◽

The Mean

The electrical activity during the potential evoked by a p pulse was analyzed statistically by considering amplitude at each 3-msec. epoch a random variable. The rise in standard deviation during the evoked potential was abolished a) by local cocaine on the cortex, b) by a preceding evoked potential and c) by ischemia. The residual mean positive component, with zero standard deviation, was subtracted from the mean of the evoked potential. This yielded a positive-negative component, with which the spontaneous electrical activity is believed to interact. The evoked potential is thus described as the sum of the three random variables: a) spontaneous electrical activity, b) positive component, and c) positive-negative component, with a covariance term involving the spontaneous electrical activity and the positive-negative component.

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