There will be 28 documents to describe the process of the central limit theorem of the specific probability distribution distribution. This is the first case, Normal distribution.
Research method: there are five method to verify the central limit theorem on the case of Normal distribution.
(1) Verify the Z-score distribution, using the probability distribution simulator.
(2) Verify whether the moments are affected by n, using the probability distribution simulator.
(3) The first explained method by displaying the relationship of Xn and X1 + ... + Xn-1
(4) The second explained method by displaying the relationship of the front half of (X1, ..., Xn) and the rear half of (X1, ..., Xn)
(5) Compare the Z distribution and the Z-score of the sample mean.
Since X1, X2, ..., Xn are i.i.d. Normal distribution, the process can be shown by the simulating the distribution of the additive X random variables. However, Normal is Normal as the n increases, not by the central limit theorem. In this case, the outcome of the central limit theorem is just the property of Normal distribution.
Central limit theorem-Arcsin distribution-Probability distribution simulatorMei-Yu Lee
#Statistics #centrallimittheorm #Simulation
This is the Case 5: Arcsin distribution to discuss the central limit theorem.
Arcsin distribution different from Normal distribution has the symmetric, bounded and extreme value with the high probability.
The parameters of Arcsin distribution does not affect the Z score distribution of the sum of X. The 1st, 2nd and 3rd moments are constant when the sample size (n) increases, but the 4th moment is affected by the sample size at the beginning (n is small).
The process of the central limit theorem for the Arcsin distribution can show how the sum of Xi which is from the Arcsin distribution approximates to Normal distribution. Since Arcsin distribution is a symmetric distribution, the sample size from 2 to 3 displays an apparently different shape for the sum of X1 and X1+X2. Only the sample size is larger than or equal to 50, the sum of Xi can approximate to Normal distribution.
Get e-book: https://www.amazon.com/dp/B09PFFN622 or scan the QR code.
#random #CLT #probabilitydistribution #probability #arcsin #distribution #process #learning
Central Limit Theorem on Pareto 1 DistributionMei-Yu Lee
#CLT #statistics #simulation
This is on the process of verifying central limit theorem for Case 3: Shifted exponential distribution.
🟡 5 research methods using Probability distribution simulator (see the ebook link).
The minimal sample size of the Pareto 1 distribution is affected by the parameter.
Video: https://youtu.be/X50mQsUcPGE
Central Limit Theorem on Uniform DistributionMei-Yu Lee
There will be 28 documents to verify the process of the central limit theorem of the specific probability distribution distribution. This video is the first case, Normal distribution.
Get e-book: https://www.amazon.com/dp/B09PFFN622 or scan the QR code.
Research method: there are five methods to verify the central limit theorem on the case of Normal distribution. (p.29~31)
(1) Verify the Z-score distribution, using the probability distribution simulator.
(2) Verify whether the moments are affected by n, using the probability distribution simulator.
(3) The first explained method by displaying the relationship of Xn and X1 + ... + Xn-1
(4) The second explained method by displaying the relationship of the front half of (X1, ..., Xn) and the rear half of (X1, ..., Xn)
(5) Compare the Z distribution and the Z-score of the sample mean.
Central Limit Theorem on Shifted Exponential DistributionMei-Yu Lee
#CLT #statistics #simulation
This is on the process of verifying central limit theorem for Case 3: Shifted exponential distribution.
🟡 5 research methods using Probability distribution simulator (see the ebook link).
🔷🔷🔷🔷🔷🔷🔷🔷🔷🔷🔷🔷🔷🔷🔷🔷🔷🔷🔷🔷
Get e-book: https://www.amazon.com/dp/B09PFFN622 or scan the QR code.
Slides: https://www.slideshare.net/MeiYuLee/central-limit-theorem-on-28-distributions-case-of-uniform-distribution
🔷🔷🔷🔷🔷🔷🔷🔷🔷🔷🔷🔷🔷🔷🔷🔷🔷🔷🔷🔷
Shifted exponential distribution is a skewed distribution. The minimal sample size will be large than Case 2.
What's Trending Now in PR & Marketing - PRSA Fort Worth June 2016Michael Pranikoff
What's Trending Now in PR & Marketing was the June 8, 2016 workshop given by PR Newswire Global Director of Emerging Media, Michael Pranikoff for the PRSA Fort Worth Chapter.
Are you still telling your story the same way as you were five years ago? Companies and organizations are creating content at a furious pace today, but now we need to think differently in order to connect that content with how consumption behaviors are changing. It’s not enough to just create content, we have to evolve how we reach those audiences and adapt our stories to reach them effectively.
How To Elevate Your Content today using principles of earned media. Presentation given by PR Newswire Global Director of Emerging Media for PRSA Omaha in Oct. 2014.
Loveworks - Google Hangout Presentation with Brian SheehanMichael Pranikoff
Presentation from 2/13/14 Google Hangout with Brian Sheehan - author of Loveworks and professor at Syracuse University SI Newhouse School of Communications
Landing Links on Top Tier Press - what you should be doing in a competitive s...Carrie Rose
As well all know, it's getting harder and harder to cut through the noise and earn links from quality and relevant sites. With award winning digital PR/Content Marketing campaigns under her belt, Carrie will be sharing her tips on coming up with great campaign ideas and the types of content you need to be creating to ensure you are linked to.
Central limit theorem-Arcsin distribution-Probability distribution simulatorMei-Yu Lee
#Statistics #centrallimittheorm #Simulation
This is the Case 5: Arcsin distribution to discuss the central limit theorem.
Arcsin distribution different from Normal distribution has the symmetric, bounded and extreme value with the high probability.
The parameters of Arcsin distribution does not affect the Z score distribution of the sum of X. The 1st, 2nd and 3rd moments are constant when the sample size (n) increases, but the 4th moment is affected by the sample size at the beginning (n is small).
The process of the central limit theorem for the Arcsin distribution can show how the sum of Xi which is from the Arcsin distribution approximates to Normal distribution. Since Arcsin distribution is a symmetric distribution, the sample size from 2 to 3 displays an apparently different shape for the sum of X1 and X1+X2. Only the sample size is larger than or equal to 50, the sum of Xi can approximate to Normal distribution.
Get e-book: https://www.amazon.com/dp/B09PFFN622 or scan the QR code.
#random #CLT #probabilitydistribution #probability #arcsin #distribution #process #learning
Central Limit Theorem on Pareto 1 DistributionMei-Yu Lee
#CLT #statistics #simulation
This is on the process of verifying central limit theorem for Case 3: Shifted exponential distribution.
🟡 5 research methods using Probability distribution simulator (see the ebook link).
The minimal sample size of the Pareto 1 distribution is affected by the parameter.
Video: https://youtu.be/X50mQsUcPGE
Central Limit Theorem on Uniform DistributionMei-Yu Lee
There will be 28 documents to verify the process of the central limit theorem of the specific probability distribution distribution. This video is the first case, Normal distribution.
Get e-book: https://www.amazon.com/dp/B09PFFN622 or scan the QR code.
Research method: there are five methods to verify the central limit theorem on the case of Normal distribution. (p.29~31)
(1) Verify the Z-score distribution, using the probability distribution simulator.
(2) Verify whether the moments are affected by n, using the probability distribution simulator.
(3) The first explained method by displaying the relationship of Xn and X1 + ... + Xn-1
(4) The second explained method by displaying the relationship of the front half of (X1, ..., Xn) and the rear half of (X1, ..., Xn)
(5) Compare the Z distribution and the Z-score of the sample mean.
Central Limit Theorem on Shifted Exponential DistributionMei-Yu Lee
#CLT #statistics #simulation
This is on the process of verifying central limit theorem for Case 3: Shifted exponential distribution.
🟡 5 research methods using Probability distribution simulator (see the ebook link).
🔷🔷🔷🔷🔷🔷🔷🔷🔷🔷🔷🔷🔷🔷🔷🔷🔷🔷🔷🔷
Get e-book: https://www.amazon.com/dp/B09PFFN622 or scan the QR code.
Slides: https://www.slideshare.net/MeiYuLee/central-limit-theorem-on-28-distributions-case-of-uniform-distribution
🔷🔷🔷🔷🔷🔷🔷🔷🔷🔷🔷🔷🔷🔷🔷🔷🔷🔷🔷🔷
Shifted exponential distribution is a skewed distribution. The minimal sample size will be large than Case 2.
What's Trending Now in PR & Marketing - PRSA Fort Worth June 2016Michael Pranikoff
What's Trending Now in PR & Marketing was the June 8, 2016 workshop given by PR Newswire Global Director of Emerging Media, Michael Pranikoff for the PRSA Fort Worth Chapter.
Are you still telling your story the same way as you were five years ago? Companies and organizations are creating content at a furious pace today, but now we need to think differently in order to connect that content with how consumption behaviors are changing. It’s not enough to just create content, we have to evolve how we reach those audiences and adapt our stories to reach them effectively.
How To Elevate Your Content today using principles of earned media. Presentation given by PR Newswire Global Director of Emerging Media for PRSA Omaha in Oct. 2014.
Loveworks - Google Hangout Presentation with Brian SheehanMichael Pranikoff
Presentation from 2/13/14 Google Hangout with Brian Sheehan - author of Loveworks and professor at Syracuse University SI Newhouse School of Communications
Landing Links on Top Tier Press - what you should be doing in a competitive s...Carrie Rose
As well all know, it's getting harder and harder to cut through the noise and earn links from quality and relevant sites. With award winning digital PR/Content Marketing campaigns under her belt, Carrie will be sharing her tips on coming up with great campaign ideas and the types of content you need to be creating to ensure you are linked to.
Problems using central limit theorem appliedMei-Yu Lee
Hypothesis: Central limit theorem shows the sample size >= 30 can applies the central limit theorem.
Methodology: Probability distribution simulator, simulation
Findings: Section 3 shows the random samples of different probability distribution have different sample size to apply the property of central limit theorem.
Contribution: Statistics cannot be the tool of the big data analysis and artificial intelligence. New Central limit theorem can be the basis of Statistics applied in Big data and Artificial intelligence.
NEW TECH! NEW KNOWLEDGE! autocorrelation coefficient in (-1,1) affects the sa...Mei-Yu Lee
✳️Different autocorrelation coefficient (-1,1) can get the sampling distribution of Durbin-Watson test statistic, so users can test nonzero autocorrelation!!
📌This slide show you the autocorrelation coefficient is a main factor of sampling distribution of Durbin-Watson test statistic.
🆓The software has been released on google site, https://tinyurl.com/dwtestsoftware.
✅Source code included.
✅ Software running video: https://youtu.be/hDt1fxhrfaw
🔆 seek cooperation!!!!
NEW TECH! NEW KNOWLEDGE! CLT occurs in sampling distribution of Durbin-Watson...Mei-Yu Lee
✳️ Regression analysis is a special case of Durbin-Watson model where the autocorrelation coefficient is zero.
✳️ The lag(s) is a main factor influencing the sampling distribution of Durbin-Watson test statistic.
This slide displays how the central limit theorem occurs in the sampling distribution in the cases of different lags.
✅ Software has been released on google site, https://tinyurl.com/dwtestsoftware.
✅ source code included.
✅ Software running video: https://youtu.be/hDt1fxhrfaw
🔆 Seek cooperation!!!!
NEW TECH!NEW KNOWLEDGE! How the Lag(s) affects the sampling distribution of D...Mei-Yu Lee
✳️ Regression analysis is a special case of Durbin-Watson model where the autocorrelation coefficient is zero.
✳️ Autoregressive model or Autoregressive error model indicates the existence of the lag(s).
✳️ The lag(s) is a main factor of sampling distribution of DW test statistic.
✅ This slide shows how the lag(s) affect the sampling distribution of Durbin-Watson test statistic. Since the sampling distribution changes, the critical values of Durbin-Watson test statistic cannot be displayed by a critical value table‼️
📌Software has been released on google site, https://tinyurl.com/dwtestsoftware.
✅ source code included.
✅ Software running video: https://youtu.be/hDt1fxhrfaw
🔆 Seek cooperation!!!
NEW TECH!NEW KNOWLEDGE! CLT displays on sampling distribution of DW statistic...Mei-Yu Lee
✳️ regression analysis is a special case of Durbin-Watson model where the autocorrelation coefficient is zero.
✳️ the values of independent variable(s) have main impact on the sampling distribution of Durbin-Watson test statistic.
This slide displays how the CLT shows in the sampling distribution in the different cases of independent variable.
For the software has been released on google site, https://tinyurl.com/dwtestsoftware.
✅ Source code included.
✅ Software running video: https://youtu.be/hDt1fxhrfaw
🔆 seek cooperation!
NEW TECH!NEW KNOWLEDGE! Independent variable(s) affects the sampling distribu...Mei-Yu Lee
✳️ Regression analysis is a special case of Durbin-Watson model where the autocorrelation coefficient is zero.
✳️ It is not easy to discuss the autocorrelation. We shall find the sampling distribution of Durbin-Watson test statistic first.
❓How can we do❓
1. Determine what are the factors affecting the Durbin-Watson test statistic.
2. Discuss how each factor affects the sampling distribution of Durbin-Watson test statistic.
3. Induce NEW technology - probability distribution simulator - to find the sampling distribution of Durbin-Watson test statistic. (See the “method” PowerPoint file)
🏆 🏆 🏆
In this PowerPoint file, I describe the processes of investigating that the independent variable(s) affects the sampling distribution of Durbin-Watson test statistic.
🆓 As to the software, free download on https://sites.google.com/view/dwtestsoftware or https://tinyurl.com/dwtestsoftware.
✅ Source code included.
✅ Software running video: https://youtu.be/hDt1fxhrfaw
🔆 Seek cooperation!!!!!!
NEW TECH!NEW KNOWLEDGE! Method: Simulator for the sampling distribution of D...Mei-Yu Lee
Describe the research method on the simulation of sampling distribution of Durbin-Watson test statistic.
How to investigate the factors affecting the sampling distribution of Durbin-Watson test statistic is based on the probability distribution simulator.
As to the software has been online for download: https://sites.google.com/view/dwtestsoftware.
🔆 seek cooperation!
Summary of the sampling distribution of Durbin-Watson test statistic Mei-Yu Lee
The series of PowerPoint files describe how factors affect the sampling distribution of Durbin-Watson test statistic.
Factors are
(1) Model,
(2) independent variable(s),
(3) autocorrelation coefficient,
(4) lags,
(5) distribution of ut which is in the autoregressive error model,
(6) sample size.
Free download on https://tinyurl.com/dwtestsoftware.
🔆 seek cooperation!
Mending Clothing to Support Sustainable Fashion_CIMaR 2024.pdfSelcen Ozturkcan
Ozturkcan, S., Berndt, A., & Angelakis, A. (2024). Mending clothing to support sustainable fashion. Presented at the 31st Annual Conference by the Consortium for International Marketing Research (CIMaR), 10-13 Jun 2024, University of Gävle, Sweden.
PPT on Direct Seeded Rice presented at the three-day 'Training and Validation Workshop on Modules of Climate Smart Agriculture (CSA) Technologies in South Asia' workshop on April 22, 2024.
ESA/ACT Science Coffee: Diego Blas - Gravitational wave detection with orbita...Advanced-Concepts-Team
Presentation in the Science Coffee of the Advanced Concepts Team of the European Space Agency on the 07.06.2024.
Speaker: Diego Blas (IFAE/ICREA)
Title: Gravitational wave detection with orbital motion of Moon and artificial
Abstract:
In this talk I will describe some recent ideas to find gravitational waves from supermassive black holes or of primordial origin by studying their secular effect on the orbital motion of the Moon or satellites that are laser ranged.
(June 12, 2024) Webinar: Development of PET theranostics targeting the molecu...Scintica Instrumentation
Targeting Hsp90 and its pathogen Orthologs with Tethered Inhibitors as a Diagnostic and Therapeutic Strategy for cancer and infectious diseases with Dr. Timothy Haystead.
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.
EWOCS-I: The catalog of X-ray sources in Westerlund 1 from the Extended Weste...Sérgio Sacani
Context. With a mass exceeding several 104 M⊙ and a rich and dense population of massive stars, supermassive young star clusters
represent the most massive star-forming environment that is dominated by the feedback from massive stars and gravitational interactions
among stars.
Aims. In this paper we present the Extended Westerlund 1 and 2 Open Clusters Survey (EWOCS) project, which aims to investigate
the influence of the starburst environment on the formation of stars and planets, and on the evolution of both low and high mass stars.
The primary targets of this project are Westerlund 1 and 2, the closest supermassive star clusters to the Sun.
Methods. The project is based primarily on recent observations conducted with the Chandra and JWST observatories. Specifically,
the Chandra survey of Westerlund 1 consists of 36 new ACIS-I observations, nearly co-pointed, for a total exposure time of 1 Msec.
Additionally, we included 8 archival Chandra/ACIS-S observations. This paper presents the resulting catalog of X-ray sources within
and around Westerlund 1. Sources were detected by combining various existing methods, and photon extraction and source validation
were carried out using the ACIS-Extract software.
Results. The EWOCS X-ray catalog comprises 5963 validated sources out of the 9420 initially provided to ACIS-Extract, reaching a
photon flux threshold of approximately 2 × 10−8 photons cm−2
s
−1
. The X-ray sources exhibit a highly concentrated spatial distribution,
with 1075 sources located within the central 1 arcmin. We have successfully detected X-ray emissions from 126 out of the 166 known
massive stars of the cluster, and we have collected over 71 000 photons from the magnetar CXO J164710.20-455217.
Current Ms word generated power point presentation covers major details about the micronuclei test. It's significance and assays to conduct it. It is used to detect the micronuclei formation inside the cells of nearly every multicellular organism. It's formation takes place during chromosomal sepration at metaphase.
Problems using central limit theorem appliedMei-Yu Lee
Hypothesis: Central limit theorem shows the sample size >= 30 can applies the central limit theorem.
Methodology: Probability distribution simulator, simulation
Findings: Section 3 shows the random samples of different probability distribution have different sample size to apply the property of central limit theorem.
Contribution: Statistics cannot be the tool of the big data analysis and artificial intelligence. New Central limit theorem can be the basis of Statistics applied in Big data and Artificial intelligence.
NEW TECH! NEW KNOWLEDGE! autocorrelation coefficient in (-1,1) affects the sa...Mei-Yu Lee
✳️Different autocorrelation coefficient (-1,1) can get the sampling distribution of Durbin-Watson test statistic, so users can test nonzero autocorrelation!!
📌This slide show you the autocorrelation coefficient is a main factor of sampling distribution of Durbin-Watson test statistic.
🆓The software has been released on google site, https://tinyurl.com/dwtestsoftware.
✅Source code included.
✅ Software running video: https://youtu.be/hDt1fxhrfaw
🔆 seek cooperation!!!!
NEW TECH! NEW KNOWLEDGE! CLT occurs in sampling distribution of Durbin-Watson...Mei-Yu Lee
✳️ Regression analysis is a special case of Durbin-Watson model where the autocorrelation coefficient is zero.
✳️ The lag(s) is a main factor influencing the sampling distribution of Durbin-Watson test statistic.
This slide displays how the central limit theorem occurs in the sampling distribution in the cases of different lags.
✅ Software has been released on google site, https://tinyurl.com/dwtestsoftware.
✅ source code included.
✅ Software running video: https://youtu.be/hDt1fxhrfaw
🔆 Seek cooperation!!!!
NEW TECH!NEW KNOWLEDGE! How the Lag(s) affects the sampling distribution of D...Mei-Yu Lee
✳️ Regression analysis is a special case of Durbin-Watson model where the autocorrelation coefficient is zero.
✳️ Autoregressive model or Autoregressive error model indicates the existence of the lag(s).
✳️ The lag(s) is a main factor of sampling distribution of DW test statistic.
✅ This slide shows how the lag(s) affect the sampling distribution of Durbin-Watson test statistic. Since the sampling distribution changes, the critical values of Durbin-Watson test statistic cannot be displayed by a critical value table‼️
📌Software has been released on google site, https://tinyurl.com/dwtestsoftware.
✅ source code included.
✅ Software running video: https://youtu.be/hDt1fxhrfaw
🔆 Seek cooperation!!!
NEW TECH!NEW KNOWLEDGE! CLT displays on sampling distribution of DW statistic...Mei-Yu Lee
✳️ regression analysis is a special case of Durbin-Watson model where the autocorrelation coefficient is zero.
✳️ the values of independent variable(s) have main impact on the sampling distribution of Durbin-Watson test statistic.
This slide displays how the CLT shows in the sampling distribution in the different cases of independent variable.
For the software has been released on google site, https://tinyurl.com/dwtestsoftware.
✅ Source code included.
✅ Software running video: https://youtu.be/hDt1fxhrfaw
🔆 seek cooperation!
NEW TECH!NEW KNOWLEDGE! Independent variable(s) affects the sampling distribu...Mei-Yu Lee
✳️ Regression analysis is a special case of Durbin-Watson model where the autocorrelation coefficient is zero.
✳️ It is not easy to discuss the autocorrelation. We shall find the sampling distribution of Durbin-Watson test statistic first.
❓How can we do❓
1. Determine what are the factors affecting the Durbin-Watson test statistic.
2. Discuss how each factor affects the sampling distribution of Durbin-Watson test statistic.
3. Induce NEW technology - probability distribution simulator - to find the sampling distribution of Durbin-Watson test statistic. (See the “method” PowerPoint file)
🏆 🏆 🏆
In this PowerPoint file, I describe the processes of investigating that the independent variable(s) affects the sampling distribution of Durbin-Watson test statistic.
🆓 As to the software, free download on https://sites.google.com/view/dwtestsoftware or https://tinyurl.com/dwtestsoftware.
✅ Source code included.
✅ Software running video: https://youtu.be/hDt1fxhrfaw
🔆 Seek cooperation!!!!!!
NEW TECH!NEW KNOWLEDGE! Method: Simulator for the sampling distribution of D...Mei-Yu Lee
Describe the research method on the simulation of sampling distribution of Durbin-Watson test statistic.
How to investigate the factors affecting the sampling distribution of Durbin-Watson test statistic is based on the probability distribution simulator.
As to the software has been online for download: https://sites.google.com/view/dwtestsoftware.
🔆 seek cooperation!
Summary of the sampling distribution of Durbin-Watson test statistic Mei-Yu Lee
The series of PowerPoint files describe how factors affect the sampling distribution of Durbin-Watson test statistic.
Factors are
(1) Model,
(2) independent variable(s),
(3) autocorrelation coefficient,
(4) lags,
(5) distribution of ut which is in the autoregressive error model,
(6) sample size.
Free download on https://tinyurl.com/dwtestsoftware.
🔆 seek cooperation!
Mending Clothing to Support Sustainable Fashion_CIMaR 2024.pdfSelcen Ozturkcan
Ozturkcan, S., Berndt, A., & Angelakis, A. (2024). Mending clothing to support sustainable fashion. Presented at the 31st Annual Conference by the Consortium for International Marketing Research (CIMaR), 10-13 Jun 2024, University of Gävle, Sweden.
PPT on Direct Seeded Rice presented at the three-day 'Training and Validation Workshop on Modules of Climate Smart Agriculture (CSA) Technologies in South Asia' workshop on April 22, 2024.
ESA/ACT Science Coffee: Diego Blas - Gravitational wave detection with orbita...Advanced-Concepts-Team
Presentation in the Science Coffee of the Advanced Concepts Team of the European Space Agency on the 07.06.2024.
Speaker: Diego Blas (IFAE/ICREA)
Title: Gravitational wave detection with orbital motion of Moon and artificial
Abstract:
In this talk I will describe some recent ideas to find gravitational waves from supermassive black holes or of primordial origin by studying their secular effect on the orbital motion of the Moon or satellites that are laser ranged.
(June 12, 2024) Webinar: Development of PET theranostics targeting the molecu...Scintica Instrumentation
Targeting Hsp90 and its pathogen Orthologs with Tethered Inhibitors as a Diagnostic and Therapeutic Strategy for cancer and infectious diseases with Dr. Timothy Haystead.
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.
EWOCS-I: The catalog of X-ray sources in Westerlund 1 from the Extended Weste...Sérgio Sacani
Context. With a mass exceeding several 104 M⊙ and a rich and dense population of massive stars, supermassive young star clusters
represent the most massive star-forming environment that is dominated by the feedback from massive stars and gravitational interactions
among stars.
Aims. In this paper we present the Extended Westerlund 1 and 2 Open Clusters Survey (EWOCS) project, which aims to investigate
the influence of the starburst environment on the formation of stars and planets, and on the evolution of both low and high mass stars.
The primary targets of this project are Westerlund 1 and 2, the closest supermassive star clusters to the Sun.
Methods. The project is based primarily on recent observations conducted with the Chandra and JWST observatories. Specifically,
the Chandra survey of Westerlund 1 consists of 36 new ACIS-I observations, nearly co-pointed, for a total exposure time of 1 Msec.
Additionally, we included 8 archival Chandra/ACIS-S observations. This paper presents the resulting catalog of X-ray sources within
and around Westerlund 1. Sources were detected by combining various existing methods, and photon extraction and source validation
were carried out using the ACIS-Extract software.
Results. The EWOCS X-ray catalog comprises 5963 validated sources out of the 9420 initially provided to ACIS-Extract, reaching a
photon flux threshold of approximately 2 × 10−8 photons cm−2
s
−1
. The X-ray sources exhibit a highly concentrated spatial distribution,
with 1075 sources located within the central 1 arcmin. We have successfully detected X-ray emissions from 126 out of the 166 known
massive stars of the cluster, and we have collected over 71 000 photons from the magnetar CXO J164710.20-455217.
Current Ms word generated power point presentation covers major details about the micronuclei test. It's significance and assays to conduct it. It is used to detect the micronuclei formation inside the cells of nearly every multicellular organism. It's formation takes place during chromosomal sepration at metaphase.
Authoring a personal GPT for your research and practice: How we created the Q...Leonel Morgado
Thematic analysis in qualitative research is a time-consuming and systematic task, typically done using teams. Team members must ground their activities on common understandings of the major concepts underlying the thematic analysis, and define criteria for its development. However, conceptual misunderstandings, equivocations, and lack of adherence to criteria are challenges to the quality and speed of this process. Given the distributed and uncertain nature of this process, we wondered if the tasks in thematic analysis could be supported by readily available artificial intelligence chatbots. Our early efforts point to potential benefits: not just saving time in the coding process but better adherence to criteria and grounding, by increasing triangulation between humans and artificial intelligence. This tutorial will provide a description and demonstration of the process we followed, as two academic researchers, to develop a custom ChatGPT to assist with qualitative coding in the thematic data analysis process of immersive learning accounts in a survey of the academic literature: QUAL-E Immersive Learning Thematic Analysis Helper. In the hands-on time, participants will try out QUAL-E and develop their ideas for their own qualitative coding ChatGPT. Participants that have the paid ChatGPT Plus subscription can create a draft of their assistants. The organizers will provide course materials and slide deck that participants will be able to utilize to continue development of their custom GPT. The paid subscription to ChatGPT Plus is not required to participate in this workshop, just for trying out personal GPTs during it.
The debris of the ‘last major merger’ is dynamically youngSérgio Sacani
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.
ESR spectroscopy in liquid food and beverages.pptxPRIYANKA PATEL
With increasing population, people need to rely on packaged food stuffs. Packaging of food materials requires the preservation of food. There are various methods for the treatment of food to preserve them and irradiation treatment of food is one of them. It is the most common and the most harmless method for the food preservation as it does not alter the necessary micronutrients of food materials. Although irradiated food doesn’t cause any harm to the human health but still the quality assessment of food is required to provide consumers with necessary information about the food. ESR spectroscopy is the most sophisticated way to investigate the quality of the food and the free radicals induced during the processing of the food. ESR spin trapping technique is useful for the detection of highly unstable radicals in the food. The antioxidant capability of liquid food and beverages in mainly performed by spin trapping technique.
Immersive Learning That Works: Research Grounding and Paths ForwardLeonel Morgado
We will metaverse into the essence of immersive learning, into its three dimensions and conceptual models. This approach encompasses elements from teaching methodologies to social involvement, through organizational concerns and technologies. Challenging the perception of learning as knowledge transfer, we introduce a 'Uses, Practices & Strategies' model operationalized by the 'Immersive Learning Brain' and ‘Immersion Cube’ frameworks. This approach offers a comprehensive guide through the intricacies of immersive educational experiences and spotlighting research frontiers, along the immersion dimensions of system, narrative, and agency. Our discourse extends to stakeholders beyond the academic sphere, addressing the interests of technologists, instructional designers, and policymakers. We span various contexts, from formal education to organizational transformation to the new horizon of an AI-pervasive society. This keynote aims to unite the iLRN community in a collaborative journey towards a future where immersive learning research and practice coalesce, paving the way for innovative educational research and practice landscapes.
