This program performs canonical analysis of principal coordinates (CAP), which includes canonical correlation analysis and canonical discriminant analysis based on any distance measure. The analysis provides:
1. Eigenvalues and eigenvectors from principal coordinate analysis which can be used for ordination plots.
2. Canonical correlations and squared canonical correlations.
3. Canonical axis scores to plot multivariate points.
4. Correlations of original variables with canonical axes.
Advanced biometrical and quantitative genetics akshayAkshay Deshmukh
Additive and Multiplicative Model
Shifted Multiplicative Model
Analysis and Selection of Genotype
Methods and steps to select the best model
Bioplot and mapping genotype
Advanced biometrical and quantitative genetics akshayAkshay Deshmukh
Additive and Multiplicative Model
Shifted Multiplicative Model
Analysis and Selection of Genotype
Methods and steps to select the best model
Bioplot and mapping genotype
Effective Creation, Mediation and Use of Knowledge in and about Education.EduSkills OECD
This presentation was given by Philippa Cordingley from the Centre for the Use of Research and Evidence in Education (CUREE) at the CERI Conference on Innovation, Governance and Reform in Education on 3 November 2014 during session 3.a: Knowledge-intensive Governance, Innovation and Change.
Multiple Linear Regression Model with Two Parameter Doubly Truncated New Symm...theijes
The most commonly used method to describe the relationship between response and independent variables is a linear model with Gaussian distributed errors. In practical components, the variables examined might not be mesokurtic and the populace values probably finitely limited. In this paper, we introduce a multiple linear regression models with two-parameter doubly truncated new symmetric distributed (DTNSD) errors for the first time. To estimate the model parameters we used the method of maximum likelihood (ML) and ordinary least squares (OLS). The model desires criteria such as Akaike information criteria (AIC) and Bayesian information criteria (BIC) for the models are used. A simulation study is performed to analysis the properties of the model parameters. A comparative study of doubly truncated new symmetric linear regression models on the Gaussian model showed that the proposed model gives good fit to the data sets for the error term follow DTNSD
Effective Creation, Mediation and Use of Knowledge in and about Education.EduSkills OECD
This presentation was given by Philippa Cordingley from the Centre for the Use of Research and Evidence in Education (CUREE) at the CERI Conference on Innovation, Governance and Reform in Education on 3 November 2014 during session 3.a: Knowledge-intensive Governance, Innovation and Change.
Multiple Linear Regression Model with Two Parameter Doubly Truncated New Symm...theijes
The most commonly used method to describe the relationship between response and independent variables is a linear model with Gaussian distributed errors. In practical components, the variables examined might not be mesokurtic and the populace values probably finitely limited. In this paper, we introduce a multiple linear regression models with two-parameter doubly truncated new symmetric distributed (DTNSD) errors for the first time. To estimate the model parameters we used the method of maximum likelihood (ML) and ordinary least squares (OLS). The model desires criteria such as Akaike information criteria (AIC) and Bayesian information criteria (BIC) for the models are used. A simulation study is performed to analysis the properties of the model parameters. A comparative study of doubly truncated new symmetric linear regression models on the Gaussian model showed that the proposed model gives good fit to the data sets for the error term follow DTNSD
Treatment by alternative methods of regression gas chromatographic retention ...ijics
The study treated two closer alternative methods of which the principal characteristic: a non-parametric
method (the least absolute deviation (LAD)) and a traditional method of diagnosis OLS.This was applied to
model, separately, the indices of retention of the same whole of 35 pyrazines (27 pyrazines with 8 other
pyrazines in the same unit) eluted to the columns OV-101 and Carbowax-20M, by using theoretical
molecular descriptors calculated using the software DRAGON. The detection of influential observations for
non-parametric method (LAD) is a problem which has been extensively studied and offers alternative
dicapproaches whose main feature is the robustness .here is presented and compared with the standard
least squares regression .The comparison between methods LAD and OLS is based on the equation of the
hyperplane, in order to confirm the robustness thus to detect by the meaningless statements and the points
of lever and validated results in the state approached by the tests statistics: Test of Anderson-Darling,
shapiro-wilk, Agostino, Jarque-Bera, graphic test (histogram of frequency) and the confidence interval
thanks to the concept of robustness to check if the distribution of the errors is really approximate.
TREATMENT BY ALTERNATIVE METHODS OF REGRESSION GAS CHROMATOGRAPHIC RETENTION ...ijcisjournal
The study treated two closer alternative methods of which the principal characteristic: a non-parametric method (the least absolute deviation (LAD)) and a traditional method of diagnosis OLS.This was applied to model, separately, the indices of retention of the same whole of 35 pyrazines (27 pyrazines with 8 other pyrazines in the same unit) eluted to the columns OV-101 and Carbowax-20M, by using theoretical molecular descriptors calculated using the software DRAGON. The detection of influential observations for non-parametric method (LAD) is a problem which has been extensively studied and offers alternative dicapproaches whose main feature is the robustness .here is presented and compared with the standard least squares regression .The comparison between methods LAD and OLS is based on the equation of the hyperplane, in order to confirm the robustness thus to detect by the meaningless statements and the points of lever and validated results in the state approached by the tests statistics: Test of Anderson-Darling, shapiro-wilk, Agostino, Jarque-Bera, graphic test (histogram of frequency) and the confidence interval thanks to the concept of robustness to check if the distribution of the errors is really approximate.
ASHG 2015 - Redundant Annotations in Tertiary AnalysisJames Warren
After obtaining genetic variants from next generation sequencing data, a precursory step in tertiary analysis is to annotate each variant with available relevant information. There is no standardized compendium for this purpose; researchers instead are required to compile data from a motley of annotation tools and public datasets. These sources for annotation are independently maintained, and accordingly there is limited concordance between their reported contents. The choice of annotation datasets thus has a direct and significant impact on the results of the analysis.
TREATMENT BY ALTERNATIVE METHODS OF REGRESSION GAS CHROMATOGRAPHIC RETENTION ...ijsc
The study treated two closer alternative methods of which the principal characteristic: a non-parametric
method (the least absolute deviation (LAD)) and a traditional method of diagnosis OLS.This was applied to
model, separately, the indices of retention of the same whole of 35 pyrazines (27 pyrazines with 8 other
pyrazines in the same unit) eluted to the columns OV-101 and Carbowax-20M, by using theoretical
molecular descriptors calculated using the software DRAGON. The detection of influential observations for
non-parametric method (LAD) is a problem which has been extensively studied and offers alternative
dicapproaches whose main feature is the robustness.here is presented and compared with the standard
least squares regression .The comparison between methods LAD and OLS is based on the equation of the
hyperplane, in order to confirm the robustness thus to detect by the meaningless statements and the points
of lever and validated results in the state approached by the tests statistics: Test of Anderson-Darling,
shapiro-wilk, Agostino, Jarque-Bera, graphic test (histogram of frequency) and the confidence interval
thanks to the concept of robustness to check if the distribution of the errors is really approximate.
Relevance Vector Machines for Earthquake Response Spectra drboon
This study uses Relevance Vector Machine (RVM) regression to develop a probabilistic model for the average horizontal component of 5%-damped earthquake response spectra. Unlike conventional models, the proposed approach does not require a functional form, and constructs the model based on a set predictive variables and a set of representative ground motion records. The RVM uses Bayesian inference to determine the confidence intervals, instead of estimating them from the mean squared errors on the training set. An example application using three predictive variables (magnitude, distance and fault mechanism) is presented for sites with shear wave velocities ranging from 450 m/s to 900 m/s. The predictions from the proposed model are compared to an existing parametric model. The results demonstrate the validity of the proposed model, and suggest that it can be used as an alternative to the conventional ground motion models. Future studies will investigate the effect of additional predictive variables on the predictive performance of the model.
Relevance Vector Machines for Earthquake Response Spectra drboon
This study uses Relevance Vector Machine (RVM) regression to develop a probabilistic model for the average horizontal component of 5%-damped earthquake response spectra. Unlike conventional models, the proposed approach does not require a functional form, and constructs the model based on a set predictive variables and a set of representative ground motion records. The RVM uses Bayesian inference to determine the confidence intervals, instead of estimating them from the mean squared errors on the training set. An example application using three predictive variables (magnitude, distance and fault mechanism) is presented for sites with shear wave velocities ranging from 450 m/s to 900 m/s. The predictions from the proposed model are compared to an existing parametric model. The results demonstrate the validity of the proposed model, and suggest that it can be used as an alternative to the conventional ground motion models. Future studies will investigate the effect of additional predictive variables on the predictive performance of the model.
Treatment by Alternative Methods of Regression Gas Chromatographic Retention ...ijsc
The study treated two closer alternative methods of which the principal characteristic: a non-parametric method (the least absolute deviation (LAD)) and a traditional method of diagnosis OLS.This was applied to model, separately, the indices of retention of the same whole of 35 pyrazines (27 pyrazines with 8 other pyrazines in the same unit) eluted to the columns OV-101 and Carbowax-20M, by using theoretical molecular descriptors calculated using the software DRAGON. The detection of influential observations for non-parametric method (LAD) is a problem which has been extensively studied and offers alternative dicapproaches whose main feature is the robustness.here is presented and compared with the standard least squares regression .The comparison between methods LAD and OLS is based on the equation of the hyperplane, in order to confirm the robustness thus to detect by the meaningless statements and the points of lever and validated results in the state approached by the tests statistics: Test of Anderson-Darling, shapiro-wilk, Agostino, Jarque-Bera, graphic test (histogram of frequency) and the confidence interval thanks to the concept of robustness to check if the distribution of the errors is really approximate.
QSAR STUDY ON READY BIODEGRADABILITY OF CHEMICALS. Presented at the 3rd Chemo...Kamel Mansouri
The goal of this study was to predict ready biodegradation of
chemicals by QSAR modeling. The dataset used for this purpose was
produced by the Japanese Ministry of International Trade and Industry
(MITI) with experimental results according to the OECD test guideline
301C. Molecular descriptors from Dragon 6 were calculated. Variable
selection coupled with classification methods were applied to find the
most predictive models with low cross-validation error rate. The best
models were after that validated using the preselected test set to check
its prediction reliability and for further analysis.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
4. Description
This program does canonical analysis of principal
coordinates (canonical correlation analysis or
canonical discriminant analysis) based on any
distance measure as described by Anderson and
Robinson (2003) and Anderson and Willis (2003). The
test is done by permutation (using the trace and first
canonical root statistics) and canonical axes for
ordination are also given in the output.
5. Characteristics
1. Eigenvalues and eigenvectors from the principal
coordinate analysis. The latter are the PCO axes
that can be used to plot an unconstrained
(metric MDS) of the data.
2. Canonical correlations and squared canonical
correlations
3. Canonical axes scores (position of multivariate
points on the canonical axes to be used for
plotting).
4. Correlations of each of the original variables
with each of the canonical axes.
6. 5. Correlations of each X variable with each of the
canonical axes (if a canonical correlation is done).
6. Diagnostics used to determine the appropriate value
for the choice of m. The criterion used is either the
value of m resulting in the minimum
misclassification error (in the case of groups) or the
minimum residual sum of squares (in the case of X
containing one or more quantitative variables).
Also, m must not exceed p or N and is chosen so that
the proportion of the variability explained by the first
m PCO axes is more than 60%and less than 100% of
the total variability in the original dissimilarity
matrix.
7. 7. In the case of groups, a table of results for the
“leave-one-out” classification of individual
observations to groups is given, along with the
misclassification error for the choice of m used.
8. If requested, the results of a permutation test using
the two different test statistics, (trace and largest
root).
8.
9. Description:
The program offers essentially two options: one can
either ask for a forward selection of individual
variables, or for a forward selection of sets of
variables. The first is useful in the general case, e.g.
for fitting individual environmental variables
sequentially in the linear model. The second is useful
for the situation where one wishes to fit a sequential
model of whole sets of variables. For example, in the
paper by Anderson et al. (2004), there were seven sets
of environmental variables of interest.
10. Characteristics
1. Ambient sediment grain size variables (GS1 – GS4),
2. Depositional environment classification (contrasts
between High, Medium and Low depositional
environments, labeled HvML and MvL).
3. Trapped sediment characteristics (Sdep, gt125, Perfin)
4. Erosion variables (bed height movement, labeled BH and
sdBH)
5. Distance from the mouth of the estuary (D and D2).
6. Chlorophyll a (Chla) and
7. Organics (Ora)