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
Quality education for all –UNESCAP/LCD Conference on Disability-inclusive MDG...EduSkills OECD
The presentation gives an overview of some OECD data on inclusion of children with disabilities, difficulties and disadvantages, on how they fare in mainstream education, and on the relationship between disability and socio-economic background. It discusses PISA insights on quality and equity of education (the systems performing well in PISA often have high levels of equity) and offers several policy options for supporting inclusiveness and disadvanted students and schools.
OECD Review on Evaluation and Assessment Frameworks for Improving School Outc...EduSkills OECD
OECD Conference Educating for Innovative Societies on 26 April 2012 - Session 5: Assessments for Skills in Thinking and Creativity - OECD Review on Evaluation and Assessment Frameworks for Improving School Outcomes by Deborah Nusche
본 보고서에서는 2010년 4월 한달 간의 온라인 광고집행 금액 추이를
월 별, 업종 별, 광고주 별로 살펴보고 미디어 트래픽과 트렌드를 분석해 보았습니다.
2010년 4월 온라인에는 총 522억 원의 광고가 집행되었으며 전 년도 대비 대폭 상승한 금액입니다.
업종별로 살펴보면 '컴퓨터 및 정보통신 업종'이 집행 금액 기준 1위 자리를 꾸준히 유지하고 있습니다.
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
Quality education for all –UNESCAP/LCD Conference on Disability-inclusive MDG...EduSkills OECD
The presentation gives an overview of some OECD data on inclusion of children with disabilities, difficulties and disadvantages, on how they fare in mainstream education, and on the relationship between disability and socio-economic background. It discusses PISA insights on quality and equity of education (the systems performing well in PISA often have high levels of equity) and offers several policy options for supporting inclusiveness and disadvanted students and schools.
OECD Review on Evaluation and Assessment Frameworks for Improving School Outc...EduSkills OECD
OECD Conference Educating for Innovative Societies on 26 April 2012 - Session 5: Assessments for Skills in Thinking and Creativity - OECD Review on Evaluation and Assessment Frameworks for Improving School Outcomes by Deborah Nusche
본 보고서에서는 2010년 4월 한달 간의 온라인 광고집행 금액 추이를
월 별, 업종 별, 광고주 별로 살펴보고 미디어 트래픽과 트렌드를 분석해 보았습니다.
2010년 4월 온라인에는 총 522억 원의 광고가 집행되었으며 전 년도 대비 대폭 상승한 금액입니다.
업종별로 살펴보면 '컴퓨터 및 정보통신 업종'이 집행 금액 기준 1위 자리를 꾸준히 유지하고 있습니다.
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.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
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.
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.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
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.
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.
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)
