Attitude by Ezra Dave Ignacio

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In psychology, attitude is a psychological construct, a mental and emotional entity that inheres in, or characterizes a person. They are complex and an acquired state through experiences. It is an individual's predisposed state of mind regarding a value and it is precipitated through a responsive expression toward a person, place, thing, or event (the attitude object) which in turn influences the individual's thought and action. Prominent psychologist Gordon Allport described this latent psychological construct as "the most distinctive and indispensable concept in contemporary social psychology."

Science

Attitude
IGNACIO, EZRA DAVE CALDERON
1st Reporter
Dave

An attitude is a set of beliefs that we hold
in relation to an attitude object, where an
attitude object is a person, thing, event
or issue. Attitudes can be positive or
negative, or we can simply have opinions
about issues without any strong
emotional commitment.
Attitude
Dave

“LIKE
OR
NOT?
Attitudes are generally positive or
negative views of a person to
place, thing, or event that is often
referred as the attitude object.
Dave
PERSON’S
ATTITUDE

ATTITUDE
DEFINED
MORE
LEARN MORE HERE
“
POSITIVE
NEGATIVE
FAVORITE? Dave

A mental and neural state of
readiness, organized through
experience, exerting a directive
or dynamic influence upon the
individual’s response to all
objects and situations with
which it is related .
Attitude
ALPORT
(1935)
Dave

It is a psychological tendency
that is expressed by
evaluating a particular entity
with some degree of favor or
disfavor.
Eagly and Chaiken
(1993, 1998)
FAVOR?
Dave

Attitudes do not necessarily exist in
some preformed state but can be
built, created, generated, on the
spot, in fine - tuned response to
contextual demands.
Schwarz (2007)
CREATED?
Dave

“You may know me
but
You don’t have any
idea who I am.”
Iceberg
How
much
do
you
see?
Dave

THE ICEBERG PHENOMENA IS
ALSO APPLICABLE TO HUMAN
BEINGS…
KNOWLEDGE AND SKILLS
ARE KNOWN TO OTHERS BUT
THE WHOLE ATTITUDE IS
HIDDEN ON SIGHT.
90%
Of the Iceberg is hidden and only
10% is what you can see.
Attitude
Dave

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An attitude is described as an expression of favor or disfavor towards people, places, things, or events. It contains three components - cognitive, affective, and behavioral. However, some views see the cognitive and behavioral components as derivatives of underlying affect or beliefs. Attitudes can be positive or negative. Positive attitudes promote optimism while negative attitudes promote pessimism and are more difficult to overcome. Both attitudes are influenced by values, family, culture, religion, and social interactions.

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Attitude, aptitude, and interest are related but distinct concepts. Attitude refers to an individual's orientation or tendencies towards people, concepts, or situations based on their experiences. It involves beliefs and perceptions. Aptitude indicates a person's potential ability or fitness for a particular task or skill which can be developed with training. Interest refers to a feeling of focused attention and absorption in an activity due to inner motivation from needs, drives, and emotions. Aptitude is more innate while attitude and interest involve learning and can change over time with experiences and environment.

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The Milky Way’s (MW) inner stellar halo contains an [Fe/H]-rich component with highly eccentric orbits, often referred to as the ‘last major merger.’ Hypotheses for the origin of this component include Gaia-Sausage/Enceladus (GSE), where the progenitor collided with the MW proto-disc 8–11 Gyr ago, and the Virgo Radial Merger (VRM), where the progenitor collided with the MW disc within the last 3 Gyr. These two scenarios make different predictions about observable structure in local phase space, because the morphology of debris depends on how long it has had to phase mix. The recently identified phase-space folds in Gaia DR3 have positive caustic velocities, making them fundamentally different than the phase-mixed chevrons found in simulations at late times. Roughly 20 per cent of the stars in the prograde local stellar halo are associated with the observed caustics. Based on a simple phase-mixing model, the observed number of caustics are consistent with a merger that occurred 1–2 Gyr ago. We also compare the observed phase-space distribution to FIRE-2 Latte simulations of GSE-like mergers, using a quantitative measurement of phase mixing (2D causticality). The observed local phase-space distribution best matches the simulated data 1–2 Gyr after collision, and certainly not later than 3 Gyr. This is further evidence that the progenitor of the ‘last major merger’ did not collide with the MW proto-disc at early times, as is thought for the GSE, but instead collided with the MW disc within the last few Gyr, consistent with the body of work surrounding the VRM.

Phenomics assisted breeding in crop improvement

IshaGoswami9

As the population is increasing and will reach about 9 billion upto 2050. Also due to climate change, it is difficult to meet the food requirement of such a large population. Facing the challenges presented by resource shortages, climate change, and increasing global population, crop yield and quality need to be improved in a sustainable way over the coming decades. Genetic improvement by breeding is the best way to increase crop productivity. With the rapid progression of functional genomics, an increasing number of crop genomes have been sequenced and dozens of genes influencing key agronomic traits have been identified. However, current genome sequence information has not been adequately exploited for understanding the complex characteristics of multiple gene, owing to a lack of crop phenotypic data. Efficient, automatic, and accurate technologies and platforms that can capture phenotypic data that can be linked to genomics information for crop improvement at all growth stages have become as important as genotyping. Thus, high-throughput phenotyping has become the major bottleneck restricting crop breeding. Plant phenomics has been defined as the high-throughput, accurate acquisition and analysis of multi-dimensional phenotypes during crop growing stages at the organism level, including the cell, tissue, organ, individual plant, plot, and field levels. With the rapid development of novel sensors, imaging technology, and analysis methods, numerous infrastructure platforms have been developed for phenotyping.

Equivariant neural networks and representation theory

Daniel Tubbenhauer

Or: Beyond linear. Abstract: Equivariant neural networks are neural networks that incorporate symmetries. The nonlinear activation functions in these networks result in interesting nonlinear equivariant maps between simple representations, and motivate the key player of this talk: piecewise linear representation theory. Disclaimer: No one is perfect, so please mind that there might be mistakes and typos. dtubbenhauer@gmail.com Corrected slides: dtubbenhauer.com/talks.html

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Describing and Interpreting an Immersive Learning Case with the Immersion Cub...

Leonel Morgado

Current descriptions of immersive learning cases are often difficult or impossible to compare. This is due to a myriad of different options on what details to include, which aspects are relevant, and on the descriptive approaches employed. Also, these aspects often combine very specific details with more general guidelines or indicate intents and rationales without clarifying their implementation. In this paper we provide a method to describe immersive learning cases that is structured to enable comparisons, yet flexible enough to allow researchers and practitioners to decide which aspects to include. This method leverages a taxonomy that classifies educational aspects at three levels (uses, practices, and strategies) and then utilizes two frameworks, the Immersive Learning Brain and the Immersion Cube, to enable a structured description and interpretation of immersive learning cases. The method is then demonstrated on a published immersive learning case on training for wind turbine maintenance using virtual reality. Applying the method results in a structured artifact, the Immersive Learning Case Sheet, that tags the case with its proximal uses, practices, and strategies, and refines the free text case description to ensure that matching details are included. This contribution is thus a case description method in support of future comparative research of immersive learning cases. We then discuss how the resulting description and interpretation can be leveraged to change immersion learning cases, by enriching them (considering low-effort changes or additions) or innovating (exploring more challenging avenues of transformation). The method holds significant promise to support better-grounded research in immersive learning.

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Attitude by Ezra Dave Ignacio

1. Attitude IGNACIO, EZRA DAVE CALDERON 1st Reporter Dave

2. An attitude is a set of beliefs that we hold in relation to an attitude object, where an attitude object is a person, thing, event or issue. Attitudes can be positive or negative, or we can simply have opinions about issues without any strong emotional commitment. Attitude Dave

3. “LIKE OR NOT? Attitudes are generally positive or negative views of a person to place, thing, or event that is often referred as the attitude object. Dave PERSON’S ATTITUDE

4. ATTITUDE DEFINED MORE LEARN MORE HERE “ POSITIVE NEGATIVE FAVORITE? Dave

5. A mental and neural state of readiness, organized through experience, exerting a directive or dynamic influence upon the individual’s response to all objects and situations with which it is related . Attitude ALPORT (1935) Dave

6. It is a psychological tendency that is expressed by evaluating a particular entity with some degree of favor or disfavor. Eagly and Chaiken (1993, 1998) FAVOR? Dave

7. Attitudes do not necessarily exist in some preformed state but can be built, created, generated, on the spot, in fine - tuned response to contextual demands. Schwarz (2007) CREATED? Dave

8. “You may know me but You don’t have any idea who I am.” Iceberg How much do you see? Dave

9. THE ICEBERG PHENOMENA IS ALSO APPLICABLE TO HUMAN BEINGS… KNOWLEDGE AND SKILLS ARE KNOWN TO OTHERS BUT THE WHOLE ATTITUDE IS HIDDEN ON SIGHT. 90% Of the Iceberg is hidden and only 10% is what you can see. Attitude Dave

10. Positive Attitude

11. Negative Attitude

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