This document discusses phylogenetic trees and their terminology. It covers topics like tree building methods, types of nucleotide substitutions used in models of evolution, likelihood and Bayesian approaches, and some open problems in visualizing and archiving phylogenetic trees. The document uses examples of phylogenetic trees to illustrate concepts like rooting trees, tree topology not depending on node ordering, and different dimensions that could be used to visualize trees.
Explaining the Basics of Mean Field Variational Approximation for StatisticiansWayne Lee
Explaining "Explaining Variational Approximation" by JT Ormerod and MP Wand (2010).
I wanted to learn variational methods since its speed for Bayesian inference is just so fast! Here's my condensed version of the paper without the cool examples...you should really try the examples out if you want a better understanding of this method!
This presentation assumes some knowledge or experience with Bayesian methods.
Study on genetic diversity and phylogenetic relationship among eleven traditi...Manya Education Pvt Ltd
The present investigation was carried out to study the genetic diversity among the eleven different traditional varieties of rice from southern states of Tamilnadu. High quality DNA was extracted from the seed material by Doyle and Doyle protocol with slight modifications. RAPD profile of eleven rice varieties was generated using 8 primers OP-13, 16, 17, 18 and OP – 8, 11, 17, 18 showed 98 Fragments generated. Out of which, 98 bands were polymorphic in nature and remaining were monomorphic. In dendrogram, Vellai Chittiraikar traditional rice variety was only variety which was not at all closely related to all other varieties.
The seeds of these varieties have been passed on to farmers over the generations. Maximum variability of 66% between these varieties at genetic level indicated that the traditional varieties have a wider genetic base. This will enrich the rice germplasm of our nation for use in future breeding programmes.
In conclusion, RAPD has high potential and remarkable quality for assessment of genetic populations. It is also evident that RAPD offer several advantages over traditional phenotypic markers as they provide data that can be analyzed objectively. This gives new dimensions to breeding especially with respect to time required for developing new and improved crop varieties.
Introduction to Zoological Nomenclature (Part 1). Approximately 1 hour, 38 slides, in English. By Jerry Hooker, Dep't of Palaeontology, The Natural History Museum, London, UK
Explaining the Basics of Mean Field Variational Approximation for StatisticiansWayne Lee
Explaining "Explaining Variational Approximation" by JT Ormerod and MP Wand (2010).
I wanted to learn variational methods since its speed for Bayesian inference is just so fast! Here's my condensed version of the paper without the cool examples...you should really try the examples out if you want a better understanding of this method!
This presentation assumes some knowledge or experience with Bayesian methods.
Study on genetic diversity and phylogenetic relationship among eleven traditi...Manya Education Pvt Ltd
The present investigation was carried out to study the genetic diversity among the eleven different traditional varieties of rice from southern states of Tamilnadu. High quality DNA was extracted from the seed material by Doyle and Doyle protocol with slight modifications. RAPD profile of eleven rice varieties was generated using 8 primers OP-13, 16, 17, 18 and OP – 8, 11, 17, 18 showed 98 Fragments generated. Out of which, 98 bands were polymorphic in nature and remaining were monomorphic. In dendrogram, Vellai Chittiraikar traditional rice variety was only variety which was not at all closely related to all other varieties.
The seeds of these varieties have been passed on to farmers over the generations. Maximum variability of 66% between these varieties at genetic level indicated that the traditional varieties have a wider genetic base. This will enrich the rice germplasm of our nation for use in future breeding programmes.
In conclusion, RAPD has high potential and remarkable quality for assessment of genetic populations. It is also evident that RAPD offer several advantages over traditional phenotypic markers as they provide data that can be analyzed objectively. This gives new dimensions to breeding especially with respect to time required for developing new and improved crop varieties.
Introduction to Zoological Nomenclature (Part 1). Approximately 1 hour, 38 slides, in English. By Jerry Hooker, Dep't of Palaeontology, The Natural History Museum, London, UK
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.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
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.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
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.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
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.
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.
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.
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/
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
9. Building trees
• Maximum parsimony
(which tree can explain data with least
amount of evolutionary change)
• Maximum likelihood
(which tree has highest probability of
generating observed data)
• Bayesian analysis
(probability distribution of trees based on
prior knowledge and current data)
12. Likelihood
12
A
C
G
T
A C G T
Observed
A
C
G
T
A C G T
Jukes-Cantor
human
chimp
Predicted by models
Kimura 2 parameter
A
C
G
T
A C G T
Hasegawa et al.
A
C
G
T
A C G T
•More parameters = better fit
•but, don’t want too many
parameters
19. • Probability of having bowling elves is low (prior
probability)
• If you have bowling elves, probability that they
would make a noise is high (likelihood)
• Bayesian methods combine prior probability with
likelihood to get posterior probability
47. 47
0
1000
2000
3000
4000
5000
6000
7000
1975 1980 1985 1990 1995 2000 2005
Year
Cumulative number
Rate of growth of phylogenetic knowledge
Number of papers with
“molecular” and
“phylogeny” in Web of
Science
Number of
studies in
TreeBASE
Petra Isenberg, see “Interactive tree comparison for co-located collaborative information visualization” http://www.ncbi.nlm.nih.gov/pubmed/17968069 and http://innovis.cpsc.ucalgary.ca/Research/CollaborativeTreeComparison
Image from Mike Sanderson’s Lab (http://loco.biosci.arizona.edu/)