for - quote - US politics - one party state - Yanis Varoufakis - observation - Trump was groomed by toxic US corporate culture and only now is the US is experiencing the blowback of that - new meme - hostile corporate takeover of the US government - from - Climate doomsday 6 years from now - Jerry Kroth

quote - US politics - one party state - Yanis Varoufakis - (see below) - The United States is not a democracy - It's an oligarchy with elections that are providing the legitimacy for this one part state to continue to exist

comment - With Trumps win and the nomination of a slate filled with many billionaires to lead major US departments, it's more obvious than ever that what Trump is doing is:

new meme - A hostile corporate takeover of the US government - We shouldn't be surprised as Trump was groomed by the out-of-control corptocracy in the United States - Remember that NBC made him famous with his show "The Apprentice" and during that time, he was celebrated by American corporate culture. Why else did his show reach top position in Nelson ratings? - Trump is the child of the toxic corporate culture of America where money is king, the metric that rules over everything - people and the environment - Trump is merely running the government the way he ran his companies (into the ground), with total control. - On the apprentice, he made famous the phrase "your fired" - We should not be surprised that he is making the US government in the image of himself that he has well publicized for decades.

from - Climate doomsday 6 years from now - Jerry Kroth - from - Youtube - Climate Doomsday 6 years from now - Jerry Kroth - https://hyp.is/OfL17KukEe-u2rfUpknrTg/www.youtube.com/watch?v=KZ0JDk1p6Zg

it is interesting to learn that he had a great role to play in the future of our countries development, just because he was a great scientist who wanted to explore beyond his country. It makes me think about how science is universal and scientists are seldom concerned about politics. Yet, bureaucratics and governments consider everything as a product of their country and try to protect it from other nations. For better or worse. Writing this, I also get reminded about Oppenheimer and how it beautifully dissects the crossover in science and governments from the perspectives of both governments and scientists,'

for - adjacency - Entangled World host comment - Gerald Edelman observation - neonates do not separate the world

adjacency - between - Entangled World podcast host comment - Gerald Edelman observation - neonates do not separate the world - adjacency relationship - Entangled World podcast host commented that - neonates do not separate the world using language - This is similar to the observation the late neuroscientist Gerald Edelman made when he said - when a baby is first born into the world, the biggest puzzle is how that baby begins to separate the world when there was no separation to begin with

I understand but question his thinking. It's more of saying we can't put someone on death row because he is still human, which is true, but what makes something as natural to it's predecessor, I would say it's based on the value of negative influence it could rotationally have. Simply, is the author saying this because of his experience with it himself?

An observation is put up front

Über den neuen Satelliten SWOT, der ab September 2023 die Höhe der Meeresoberfläche global erfassen wird. Damit ist es möglich, lokale Wirbel (tourbillons) zu verfolgen, die eine wichtige Rolle bei der Regulation des Klimas spielen.

• key observation

Key observation

Key observation - due to the critical role of information in phase-transitions, - the primary pathway to global systemic transformation - will depend on our ability to process information on our current predicament coherently - in order to translate this into adaptive action.

key observation

• key observation
• key insight
• quuotable
• quote

// key observation

Bloom, J., & Cobey, S. (2021, December 12). Opinion | A Scientist’s Guide to Understanding Omicron. The New York Times. https://www.nytimes.com/2021/12/12/opinion/covid-omicron-data.html

You get the feeling from the way this is written that Anne is observing from some place else

It is important to note, that employers have the right to request an applicant's residence address, though they can opt to not collect it until the final stages of the application process.

https://www.fmenews.com/ask-the-lawyers/employer-require-physical-address/

If these groups are truely a minority (look up Black/Latino vs White population statistics) in this country, then the fact that even despite the disparaging factors laid out earlier, they make up 4/5ths of all applications should send a signal to you that these groups might have passion for the field

(Though avoid profiling them, "Oh you're Latino, so you must want to work in retail.")

The data she is working with is based only on employees that have been there.

If minoirities we're represented in the past, then their patterns won't be well represented in the future.

Besides, current employees have been leaving frequently. I think their data should be used with caution.

While an improvement, it isn't a guarantee that this was all the success that could be garnered vs a more inclusive algorithm.

With a greater field of candidates to chose from (since 80% of applications aren't white), their is bound to be a selection from them that could be a good match.

Deepti Gurdasani. (2022, January 10). Lots of people dismissing links between COVID-19 and all-cause diabetes. An association that’s been shown in multiple studies- whether this increase is due to more diabetes or SARS2 precipitating diabetic keto-acidosis allowing these to be diagnosed is not known. A brief look👇 [Tweet]. @dgurdasani1. https://twitter.com/dgurdasani1/status/1480546865812840450

In this stanza, the lady of Shallot sits in a tower, weaving a tapestry. A curse of some sorts looms on her, but because she is unaware of what the curse is, she doesn't worry and continues weaving. This poem was published in 1832, a year after the death of Tennyson's father, and a year before the sudden death of his close friend. Although Tennyson cant see into the future at the time of writing this, the "looming curse" certainly sounds like it relates to one of the losses he experienced when the poem was published.

Mazumdar, S., & Thakker, D. (2020). Citizen Science on Twitter: Using Data Analytics to Understand Conversations and Networks. Future Internet, 12(12), 210. https://doi.org/10.3390/fi12120210

https://www.mdpi.com/1999-5903/12/12/210

Gould, A., Lewis, L., Evans, L., Greening, L., Howe-Davies, H., Naughton, M., West, J., Roberts, C., & Parkinson, J. (2021). COVID-19 personal protective behaviors during mass events: Lessons from observational measures in Wales, UK. [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/8jsr3

This is a good thing. It allows class methods to be inherited by subclasses.

He says: Did you know that all sod is grown on 100% sunny sod farms? Have you ever seen a tree on a sod farm? So if you take that sunny seed sod and transplant to shady area, it will slowly die off.

So you should overseed your sod after transplanting.

first sighting: That <template>/<slot> is part of HTML standard and the reason Svelte uses similar/same syntax is probably because it was trying to make it match / based on that syntax (as they did with other areas of the syntax, some of it even JS/JSX-like, but more leaning towards HTML-like) so that it's familiar and consistent across platforms.

Lau, P. Y. F. (2020). Fighting COVID-19: Social capital and community mobilisation in Hong Kong. International Journal of Sociology and Social Policy, ahead-of-print(ahead-of-print). https://doi.org/10.1108/IJSSP-08-2020-0377

sentimental value and the experience taken from it

Beest, I. van. (2020). Editorial. Social Influence, 0(0), 1–3. https://doi.org/10.1080/15534510.2020.1783758

Azim, S. S., roy, arindam, Aich, A., & Dey, D. (2020). Fake news in the time of environmental disaster: Preparing framework for COVID-19 [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/wdr5v

Goldman, D. S. (2020). Initial Observations of Psychological and Behavioral Effects of COVID-19 in the United States, Using Google Trends Data. https://doi.org/10.31235/osf.io/jecqp

Grigsby, S., Hernàndez, A., John, S., Désirée Jones-Smith, Kaufmann, K., Patrick, C., Prener, C., Tranel, M., & Udani, A. (2020). Resistance to Racial Equity in U.S. Federalism and its Impact on Fragmented Regions [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/jnvzf

Sighted in: https://www.quora.com/Which-is-the-best-freely-available-website-feedback-tool?share=1

Zhong, S., Crang, M., & Zeng, G. (2020). Constructing freshness: The vitality of wet markets in urban China. Agriculture and Human Values, 37(1), 175–185. https://doi.org/10.1007/s10460-019-09987-2

Banks, G.G. & Butcher, C. (2020 April 17). Telehealth testing with children: Important factors to consider. American Psychological Association. https://www.apaservices.org/practice/legal/technology/telehealth-testing-children-covid-19

First “Mass Observation” experiment since World War Two as lockdown diaries project is launched. (n.d.). Retrieved May 5, 2020, from https://www.yorkshirepost.co.uk/heritage-and-retro/heritage/first-mass-observation-experiment-world-war-two-lockdown-diaries-project-launched-2553717

Lelonkiewicz, J. R., Gambi, C., Weller, L., & Pfister, R. (2020, April 15). Lelonkiewicz_et_al_2020_Adaptation_and_Anticipation. https://doi.org/10.1037/xhp0000717

Stadler, M., Niepel, C., Botes, E., Dörendahl, J., Krieger, F., & Greiff, S. (2020). Individual Psychological Responses to the SARS-CoV-2 Pandemic: Different Clusters and Their Relation to Risk-Reducing Behavior [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/k8unc

Imitation makes another appearance, which (as mholder pointed out with Vico) "was one of the dominant methods of instruction in rhetoric up through the Enlightenment".

I think imitation is particularly important in terms of women's education, as women often would have little to go by but a model, specifically one observed (over ones read about).

If she observed from the points of view of so many people on the campus, she would not gain the full perspective of a single group of people: she could become biased or have knowledge that not everyone she's observing has access to. Researching the school from so many points of view could backfire and create a different kind of outside opinion.

ID: 008
Variable: gray matter density
Groups: SMD, BD, HV
Model: VBM
AnatomicLocation: right insula
PeakLocation: 43,−13,−1

ID: 007
Variable: gray matter density
Groups: SMD, BD, HV
Model: VBM
AnatomicLocation: right globus pallidus
PeakLocation: 16,−2,−7

ID: 007
Interpretation: increased GM volume in BD compared to both HV and SMD

ID: 006
Interpretation: increased GM volume in HV compared to both BD and SMD

ID: 008
Interpretation: increased GM volume in HV compared to both BD and SMD

ID: 009
Interpretation: increased GM volume in HV compared to both BD and SMD

ID: 009
Variable: gray matter density
Groups: SMD, BD, HV
Model: VBM
AnatomicLocation: right dorsolateral prefrontal cortex
PeakLocation: 41,52,16

ID: 006
Variable: gray matter density
Groups: SMD, BD, HV
Model: VBM
AnatomicLocation: bilateral pre-supplementary motor 
PeakLocation: 4,26,53

ID:004
Variable: TBV
Groups: SMD, BD, HV
P: 0.09
Model: ANOVA
Interpretation: TBV trend different between groups

ID: 005
Variable: TBV
Groups: HV, BD
P: 0.08
Model: T-test
Interpretation: TBV trend larger in HV compared to BD

ID: 001
Variable: Age
Groups: SMD, BD, HV
P: 0.001
Model: ANOVA
Interpretation: Age Differed between groups

ID: 002
Variable: Age
Groups: SMD, BD
P: <0.01
Model: T-test
Interpretation: SMD younger than BD

ID: 003
Variable: Age
Groups: SMD, HV
P: 0.02
Model: T-test
Interpretation: SMD younger than HV

ID: BPwPsyStructuralVolumes Measure: Brain structure volumes AnalysisWorkflow: VolumetricWorkflow Data: BPwPsyStructuralData

ID: BPwoPsyStructuralVolumes Measure: Brain structure volumes AnalysisWorkflow: VolumetricWorkflow Data: BPwoPsyStructuralData

ID: HCStructuralVolumes Measure: Brain structure volumes AnalysisWorkflow: VolumetricWorkflow Data: HCStructuralData

ID: SZStructuralVolumes Measure: Brain structure volumes AnalysisWorkflow: VolumetricWorkflow Data: SZStructuralData

ObservationID: 001
ObservationDepVar: Diagnostic Groups
ObervationIndVar: Left Cerebral volume
ObservationStat: what test was run? Pointer to StatisticMethod
ObservationStatP: 0.04
ObservationStatF: 3.1
ObservationStatFDOF: 3
ObservationStatFN: 93
LinktoSourcedata: ???
LinktoStatExec: ???

ObservationID: 002
ObservationDepVar: Diagnostic Groups
ObervationIndVar: Right Cerebral volume
ObservationStat: what test was run? Pointer to StatisticMethod
ObservationStatP: 0.04
ObservationStatF: 2.9
ObservationStatFDOF: 3
ObservationStatFN: 93

ID: StructuralVolumes Measure: TCV AnalysisWorkflow: VolumeAnalysis Data:

ID: CCvolumes 
Measure: CCvol, CC1vol, CC2vol, CC3vol, CC4vol, CC5vol, CC6vol, CC7vol 
AnalysisWorkflow: VolumeAnalysis 
Data:

ID: CCareas Measure: CCarea, CC1area, CC2area, CC3area, CC4area, CC5area, CC6area, CC7area AnalysisWorkflow: VolumeAnalysis Data:

ObsID: 002
MeasureID: CC vol
GroupID: HC_young, HC_old, BPD_young, BPD_old
CovariateID: TCV
StatID: ANOVA
F: 19.4
P: <0.01

ObsID:003
MeasureID: CC vol
GroupID: HC, BPD
CovariateID: age group-by-diagnosis interaction term
StatID: ANOVA
F: 4.60
P: 0.01

ObsID: 004
MeasureID: CC area
GroupID: HC, BPD
CovariateID: TCV
StatID: ANOVA
F: 5.15
P: 0.03

ObsID:005
MeasureID: CC area
GroupID: HC, BPD
CovariateID: age group-by-diagnosis interaction term
StatID: ANOVA
F: 3.08
P: 0.05

ObsID: 014
MeasureID: CC2 vol
GroupID: HC, BPD
CovariateID: TCV
StatID: ANOVA
F: 12.64
P: <0.01

ObsID: 015
MeasureID: CC2 area
GroupID: HC, BPD
CovariateID: TCV
StatID: ANOVA
F: 5.18
P: 0.03

ObsID: 013
MeasureID: CC1 area
GroupID: HC, BPD
CovariateID: age
StatID: ANOVA
F: 5.28
P: 0.03

ObsID: 012
ObsType: GroupComparison
GroupID: BPD_young, HC_young
MeasureID: CC Vol
StatID: TTEST
P: not significant

ObsID: 006
MeasureID: CC vol
GroupID: HC_old, HC_young
CovariateID: Group
StatID: TTEST
P: significant

ObsID: 007
MeasureID: CC vol
GroupID: HC_old
MeanValue: 15.5
Units: cc

ObsID: 008
MeasureID: CC vol
GroupID: HC_young
MeanValue: 13.1
Units: cc

ObsID: 009
MeasureID: CC Vol
GroupID: BPD_old, BPD_young
CovariateID: Group
StatID: TTEST
P: not significant

ObsID: 010
MeasureID: CC area
GroupID: BPD_old
MeanValue: 13.6
Units: cc

ObsID: 011
MeasureID: CC vol
GroupID: BPD_young
MeanValue: 13.7
Units: cc

ObsID: 001
GroupID: BPD
MeasureID: MRS
StatID: Descriptive
Mean: 20.8
Std: 9.5
RangeMin: 0
RangeMax: 38

result

result

result

result

result

ObservationID: ObservationDepVar: ObervationIndVar: ObservationType: ObservationQualitative: LinktoSourcedata:

ObservationID: ObservationDepVar: ObervationIndVar: ObservationType:<br> ObservationQualitative:<br> LinktoSourcedata:

ObservationID: 003 ObservationDepVar: BPDwoPSY vs. HC ObervationIndVar: Right Cerebral volume ObservationType: Post hoc ObservationQualitative: smaller volume LinktoSourcedata:

ObservationID: 004 ObservationDepVar: BPDwPSY vs. HC ObervationIndVar: Right Cerebral volume ObservationType: Post hoc ObservationQualitative: smaller volume LinktoSourcedata:

ObservationID: 005 ObservationDepVar: BPDwoPSY vs. HC ObervationIndVar: Left Cerebral volume ObservationType: Post hoc ObservationQualitative: smaller volume LinktoSourcedata:

ObservationID: 006 ObservationDepVar: BPDwPSY vs. HC ObervationIndVar: Left Cerebral volume ObservationType: Post hoc ObservationQualitative: smaller volume LinktoSourcedata:

ObservationID: 007 ObservationDepVar: Female BPDwoPSY vs. Female HC ObervationIndVar: Left Cerebral volume ObservationType: Post hoc ObservationQualitative: smaller volume LinktoSourcedata:

ObservationID: 008 ObservationDepVar: Female BPDwPSY vs. Female HC ObervationIndVar: Left Cerebral volume ObservationType: Post hoc ObservationQualitative: smaller volume LinktoSourcedata:

ObservationID: 009 ObservationDepVar: SZ vs. HC ObervationIndVar: Left Cerebral volume ObservationType: Post hoc ObservationQualitative: same LinktoSourcedata:

ObservationID: 010 ObservationDepVar: SZ vs. BPDwoPSY ObervationIndVar: Left Cerebral volume ObservationType: Post hoc ObservationQualitative: same LinktoSourcedata:

ObservationID: 011 ObservationDepVar: SZ vs. BPDwPSY ObervationIndVar: Left Cerebral volume ObservationType: Post hoc ObservationQualitative: same LinktoSourcedata:

ObservationID: 012 ObservationDepVar: SZ vs. HC ObervationIndVar: Right Cerebral volume ObservationType: Post hoc ObservationQualitative: same LinktoSourcedata:

ObservationID: 013 ObservationDepVar: SZ vs. BPDwoPSY ObervationIndVar: Right Cerebral volume ObservationType: Post hoc ObservationQualitative: same LinktoSourcedata:

ObservationID: 014 ObservationDepVar: SZ vs. BPDwPSY ObervationIndVar: Right Cerebral volume ObservationType: Post hoc ObservationQualitative: same LinktoSourcedata:

Perhaps it will be interesting to watch for this on Wednesday

I think these notions of interdependence and regeneration are a very key observation.

an astute observation, in consideration of the advantages of time and distance allowing objective critique.