The WJ III Battery is comprised of both cognitive (intelligence) and achievement components. As reported in the technical manual, the Cattell-Horn-Carroll (CHC) theory of cognitive abilities organizational structure of the WJ III has been validated. The current investigation analyzed the cognitive and achievement tests for all WJ III norm subjects from ages 6-18 years of age. Multidimensional scaling (MDS—Guttman Radex model) of the 50 WJ III tests suggested new facets from which to interpret the WJ III. The results suggested three to four higher-order intermediate CHC model stratum abilities that varied along the dimensions of (a) controlled vs automatic cognitive processing and (b) product- vs process-dominant abilities. The results, together with recent similar analysis of the WAIS-IV, support Woodcock’s Cognitive Performance Model (CPM). Implications for possible minor changes in the CPM model are suggested. More importantly, the WJ III and WAIS-IV results collectively suggest hypothesized refinements and extensions of the CHC intelligence framework. Research focused on exploring the compatibility of a combined CHC and Berlin Model of Intelligence Structure (BIS) theory is recommended.
CHC model of inteligence revised (v2.4). Has Glr been incorrectly conceptual...Kevin McGrew
This presentation contains a historical overview of the derivation of the Glr ability domain in contemporary CHC theory. It then presents new data, as well as historical conclusions of the CHC masters, that makes a strong case for replacing the stratum II broad ability domain of Glr with two separate broad ability domains of Gl (learning efficiency) and Gr (retrieval fluency). How to obtain WJ IV scores for these two broad abilities is presented, as well as other possible Gl and Gr tests indicators from the CHC cross-battery literature.
CHC theory 101: From general intelligence (g) to CHC theoryKevin McGrew
The second in the CHC Theory 101 series. This brief module traces, in broad strokes, the history of psychometric theories of intelligence from Spearman's g to contemporary Cattell-Horn-Cattell (CHC) theory
The Evolution of the Cattell-Horn-Carrol (CHC) Theory of Intelligence: Schne...Kevin McGrew
This presentation is based on Schneider, W. J., & McGrew, K. S. (in press). The Cattell-Horn-Carroll Theory of Cognitive Abilities. This presentation includes a portion of key material to be published in a forthcoming CHC update/revision chapter-->In D. P. Flanagan & Erin M .McDonough (Eds.), Contemporary intellectual assessment: Theories, tests and issues (4thed.,) New York: Guilford Press.
This is only a small amount of the chapter. Also, I have inserted some new material related to test interpretation that is not included in the to-be-published chapter. The tentative date for publication of the Flanagan book is spring 2018.
What about executive functions and CHC theory: New research for discussionKevin McGrew
This module contains a subset of slides that were only briefly touched on as part of a larger "Beyond CHC" presentation at the Australian Psychological Society (APS) 2016 Annual Congress. Time was limited. Thus, the complete subset of slides are presented here for FYI and discussion purposes.
Part I: Beyond the CHC tipping point: Back to the futureKevin McGrew
An overview of the CHC (Cattell-Horn-Carroll) theory of intelligence within a historical and "waves of interpretation" context. Presents idea that CHC has reached the "tipping point" in school psychology..and...this is allowing assessment practitioners to realize past attempts to engage in individual strength and weakness interpretation of CHC based test profiles
Pushing the edge of the contemporary cognitive (CHC) theory: New directions ...Kevin McGrew
This is the current version of my previous "Beyond CHC theory" module. It presents my current thinking [based on extensive exploratory and confirmatory analysis of multiple data sets (esp. the WJ III norm data and WJ III joint cross-battery data sets) plus the integration of contemporary cognitive, neurocognitive, intelligence and neuropsychological research] re: potential future evolutions of the Cattell-Horn-Carroll (CHC) model of human cognitive abilities. This current presentation was last presented at the CNN (neuropsych) conference the first week of October, 2010, in Fremantle Australia
CHC model of inteligence revised (v2.4). Has Glr been incorrectly conceptual...Kevin McGrew
This presentation contains a historical overview of the derivation of the Glr ability domain in contemporary CHC theory. It then presents new data, as well as historical conclusions of the CHC masters, that makes a strong case for replacing the stratum II broad ability domain of Glr with two separate broad ability domains of Gl (learning efficiency) and Gr (retrieval fluency). How to obtain WJ IV scores for these two broad abilities is presented, as well as other possible Gl and Gr tests indicators from the CHC cross-battery literature.
CHC theory 101: From general intelligence (g) to CHC theoryKevin McGrew
The second in the CHC Theory 101 series. This brief module traces, in broad strokes, the history of psychometric theories of intelligence from Spearman's g to contemporary Cattell-Horn-Cattell (CHC) theory
The Evolution of the Cattell-Horn-Carrol (CHC) Theory of Intelligence: Schne...Kevin McGrew
This presentation is based on Schneider, W. J., & McGrew, K. S. (in press). The Cattell-Horn-Carroll Theory of Cognitive Abilities. This presentation includes a portion of key material to be published in a forthcoming CHC update/revision chapter-->In D. P. Flanagan & Erin M .McDonough (Eds.), Contemporary intellectual assessment: Theories, tests and issues (4thed.,) New York: Guilford Press.
This is only a small amount of the chapter. Also, I have inserted some new material related to test interpretation that is not included in the to-be-published chapter. The tentative date for publication of the Flanagan book is spring 2018.
What about executive functions and CHC theory: New research for discussionKevin McGrew
This module contains a subset of slides that were only briefly touched on as part of a larger "Beyond CHC" presentation at the Australian Psychological Society (APS) 2016 Annual Congress. Time was limited. Thus, the complete subset of slides are presented here for FYI and discussion purposes.
Part I: Beyond the CHC tipping point: Back to the futureKevin McGrew
An overview of the CHC (Cattell-Horn-Carroll) theory of intelligence within a historical and "waves of interpretation" context. Presents idea that CHC has reached the "tipping point" in school psychology..and...this is allowing assessment practitioners to realize past attempts to engage in individual strength and weakness interpretation of CHC based test profiles
Pushing the edge of the contemporary cognitive (CHC) theory: New directions ...Kevin McGrew
This is the current version of my previous "Beyond CHC theory" module. It presents my current thinking [based on extensive exploratory and confirmatory analysis of multiple data sets (esp. the WJ III norm data and WJ III joint cross-battery data sets) plus the integration of contemporary cognitive, neurocognitive, intelligence and neuropsychological research] re: potential future evolutions of the Cattell-Horn-Carroll (CHC) model of human cognitive abilities. This current presentation was last presented at the CNN (neuropsych) conference the first week of October, 2010, in Fremantle Australia
The WJ IV and Beyond CHC Theory: Kevin McGrew's NASP mini-skills workshopKevin McGrew
This presentation represents the slides Dr. Kevin McGrew presented at his WJ IV and Beyond CHC theory mini-skills workshop at the 2015 NASP convention in Orlando, Florida. The show includes more and newer slides than were presented at the live session.
Evolution of psychometric IQ theories from Spearman g to CHC: With special a...Kevin McGrew
This presentation traces the evolution of psychometric theories of intelligence from Spearman's g to contemporary CHC. In addition, it simultaneously tracks the evolution of psychometric tests of intelligence as they relate to psychometric theories. Finally, there is a special emphasis on tracking changes in the AAMR/AAIDD intellectual disability (mental retardation) classification manuals over the same period. It is concluded that despite significant advances in psychometric theories of intelligence and contemporary psychometric intelligence tests, the official 2010 AAIDD manual is significantly behind these developments. The 2010 AAIDD manual is "stuck on g" and has failed to incorporate advances in both psychometric theories and tests of intelligence. A significant intelligence theory--AAIDD ID/MR definition gap exists tat has potential serious consequences for individuals with ID/MR.
New directions in neuropsychological assessment: Augmenting neuropsychologica...Kevin McGrew
This is a presentation I made at the 2010 CNN conference in Fremantle Australia. It is an attempt to integrate CHC with neuropsychological assessment, with an emphasis on how NP tests can be interpreted from the CHC intelligence model which serves as a foundation for follow-up testing of NP tests with CHC measures.
Machine mediated meaning for semantic interoperability pvn 120109 pdfPutcha Narasimham
Definition of meaning applicable in human and machine contexts is proposed. This points out that what is taken as meaning of an expression is an equivalent expression but NOT meaning. Meaning is the result of acting out what is implied in the expression or execution of the expression. This is valid for machines and humans interchangeably.
Dr. Woocock's Evolution of Cognitive AssessmentsKevin McGrew
Dr. Richard Woodcock's Keynote presentation at the Third National School Psychology Neuropsychology Conference (July 10, 2008). The presentation presents a historical overview of the evolution of cognitive test batteries and thoughts about th future of cognitive testing. Copyrighted material has been deleted. Presentation also does not include personal stories Dr. Woodcock integrated in the presentation re: how he came to the field of psycho-educational test development and research
This is the second half of the a mini-skills workshop made at NASP 2009 in Boston (CHC COG-ACH Relations Research Synthesis: What We've Learned From 20 Years of Research". The first half of this presentation is also available at Kevin McGrew’s SlideShare space and is called “CHC-Cog-Ach Relations Research Synthesis” ---- the current module is an attempt to demonstrate selective testing (branching-tree) referral-focused testing scenarios based on the results of the CHC Cog-Ach relations research synthesis, using the WJ III battery as the illustrative instrument. The viewer should first view the CHC Cog-Ach Relations Research Synthesis module prior to viewing this module.
Description of the quality-assessment and validation of the third release of the Individual Brain Charting (IBC) dataset, namely on naturalistic stimuli using a fastSRM encoding experiment.
The WJ IV Measurement of Auditory Processing (Ga)Kevin McGrew
The WJ IV Cognitive and Oral Language include new measures of auditory processing (Ga) that are much more cognitively complex auditory measures of intelligence. This short presentation provides an overview of the WJ IV Ga tests and presents evidence supporting the importance of Ga as a major component of human intelligence.
Matrix Factorizations at Scale: a Comparison of Scientific Data Analytics on ...Databricks
Explore the trade-offs of performing linear algebra for data analysis and machine learning using Apache Spark, compared to traditional C and MPI implementations on HPC platforms. Apache Spark is designed for data analytics on cluster computing platforms with access to local disks and is optimized for data-parallel tasks.
This session will examine three widely-used and important matrix factorizations: NMF (for physical plausibility), PCA (for its ubiquity) and CX (for data interpretability). Learn how these methods are applied to terabyte-sized problems in particle physics, climate modeling and bioimaging, as use cases where interpretable analytics is of interest. The data matrices are tall-and-skinny, which enable the algorithms to map conveniently into Spark’s data-parallel model. We perform scaling experiments on up to 1600 Cray XC40 nodes, describe the sources of slowdowns and provide tuning guidance to obtain high performance. Based on joint work with Alex Gittens and many others.
The Model of Achievement Competence Motivation (MACM) Part E: Crossing the R...Kevin McGrew
The Model of Achievement Competence Motivation (MACM) is a series of slide modules. This is the fifth (Part E) in the series. It is brief...only 11 slides. The modules will serve as supplemental materials to "The Model of Achievement Competence Motivation (MACM)--Standing on the shoulders of giants" (McGrew, in press, 2021 - in a forthcoming special issue on motivation in the Canadian Journal of School Psychology)
The Model of Achievement Competence Motivation (MACM): Part D: The volition ...Kevin McGrew
The Model of Achievement Competence Motivation (MACM) is a series of slide modules. This is the fourth (Part D) in the series. The modules will serve as supplemental materials to "The Model of Achievement Competence Motivation (MACM)--Standing on the shoulders of giants" (McGrew, in press, 2021 - in a forthcoming special issue on motivation in the Canadian Journal of School Psychology)
The Model of Achievement Competence Motivation (MACM) Part C: The motivation...Kevin McGrew
The Model of Achievement Competence Motivation (MACM) is a series of slide modules. This is the third (Part C) in the series. The modules will serve as supplemental materials to "The Model of Achievement Competence Motivation (MACM)--Standing on the shoulders of giants" (McGrew, in press, 2021 - in a forthcoming special issue on motivation in the Canadian Journal of School Psychology)
The Model of Achievement Competence Motivation (MACM): Part B - An overview ...Kevin McGrew
The Model of Achievement Competence Motivation (MACM) is a series of slide modules. This is the second (Part B) in the series. The modules will serve as supplemental materials to "The Model of Achievement Competence Motivation (MACM)--Standing on the shoulders of giants" (McGrew, in press, 2021 - in a forthcoming special issue on motivation in the Canadian Journal of School Psychology)
The Model of Achievement Competence Motivation (MACM): Part A Introduction o...Kevin McGrew
The Model of Achievement Competence Motivation (MACM) is a series of slide modules. This is the first (Part A) in the series. The modules will serve as supplemental materials to "The Model of Achievement Competence Motivation (MACM)--Standing on the shoulders of giants" (McGrew, in press, 2021 - in a forthcoming special issue on motivation in the Canadian Journal of School Psychology)
The WJ IV Cognitive GIA in iintellectual disability (ID) assessmentKevin McGrew
This is a brief presentation that explains why the WJ IV (and WJ III) GIA IQ score is an appropriate and valid indicator of general intelligence that can be used in possible intellectual disability (ID) determinations
The WJ IV and Beyond CHC Theory: Kevin McGrew's NASP mini-skills workshopKevin McGrew
This presentation represents the slides Dr. Kevin McGrew presented at his WJ IV and Beyond CHC theory mini-skills workshop at the 2015 NASP convention in Orlando, Florida. The show includes more and newer slides than were presented at the live session.
Evolution of psychometric IQ theories from Spearman g to CHC: With special a...Kevin McGrew
This presentation traces the evolution of psychometric theories of intelligence from Spearman's g to contemporary CHC. In addition, it simultaneously tracks the evolution of psychometric tests of intelligence as they relate to psychometric theories. Finally, there is a special emphasis on tracking changes in the AAMR/AAIDD intellectual disability (mental retardation) classification manuals over the same period. It is concluded that despite significant advances in psychometric theories of intelligence and contemporary psychometric intelligence tests, the official 2010 AAIDD manual is significantly behind these developments. The 2010 AAIDD manual is "stuck on g" and has failed to incorporate advances in both psychometric theories and tests of intelligence. A significant intelligence theory--AAIDD ID/MR definition gap exists tat has potential serious consequences for individuals with ID/MR.
New directions in neuropsychological assessment: Augmenting neuropsychologica...Kevin McGrew
This is a presentation I made at the 2010 CNN conference in Fremantle Australia. It is an attempt to integrate CHC with neuropsychological assessment, with an emphasis on how NP tests can be interpreted from the CHC intelligence model which serves as a foundation for follow-up testing of NP tests with CHC measures.
Machine mediated meaning for semantic interoperability pvn 120109 pdfPutcha Narasimham
Definition of meaning applicable in human and machine contexts is proposed. This points out that what is taken as meaning of an expression is an equivalent expression but NOT meaning. Meaning is the result of acting out what is implied in the expression or execution of the expression. This is valid for machines and humans interchangeably.
Dr. Woocock's Evolution of Cognitive AssessmentsKevin McGrew
Dr. Richard Woodcock's Keynote presentation at the Third National School Psychology Neuropsychology Conference (July 10, 2008). The presentation presents a historical overview of the evolution of cognitive test batteries and thoughts about th future of cognitive testing. Copyrighted material has been deleted. Presentation also does not include personal stories Dr. Woodcock integrated in the presentation re: how he came to the field of psycho-educational test development and research
This is the second half of the a mini-skills workshop made at NASP 2009 in Boston (CHC COG-ACH Relations Research Synthesis: What We've Learned From 20 Years of Research". The first half of this presentation is also available at Kevin McGrew’s SlideShare space and is called “CHC-Cog-Ach Relations Research Synthesis” ---- the current module is an attempt to demonstrate selective testing (branching-tree) referral-focused testing scenarios based on the results of the CHC Cog-Ach relations research synthesis, using the WJ III battery as the illustrative instrument. The viewer should first view the CHC Cog-Ach Relations Research Synthesis module prior to viewing this module.
Description of the quality-assessment and validation of the third release of the Individual Brain Charting (IBC) dataset, namely on naturalistic stimuli using a fastSRM encoding experiment.
The WJ IV Measurement of Auditory Processing (Ga)Kevin McGrew
The WJ IV Cognitive and Oral Language include new measures of auditory processing (Ga) that are much more cognitively complex auditory measures of intelligence. This short presentation provides an overview of the WJ IV Ga tests and presents evidence supporting the importance of Ga as a major component of human intelligence.
Matrix Factorizations at Scale: a Comparison of Scientific Data Analytics on ...Databricks
Explore the trade-offs of performing linear algebra for data analysis and machine learning using Apache Spark, compared to traditional C and MPI implementations on HPC platforms. Apache Spark is designed for data analytics on cluster computing platforms with access to local disks and is optimized for data-parallel tasks.
This session will examine three widely-used and important matrix factorizations: NMF (for physical plausibility), PCA (for its ubiquity) and CX (for data interpretability). Learn how these methods are applied to terabyte-sized problems in particle physics, climate modeling and bioimaging, as use cases where interpretable analytics is of interest. The data matrices are tall-and-skinny, which enable the algorithms to map conveniently into Spark’s data-parallel model. We perform scaling experiments on up to 1600 Cray XC40 nodes, describe the sources of slowdowns and provide tuning guidance to obtain high performance. Based on joint work with Alex Gittens and many others.
A short presentation showing the intuition behind Alphafold1.
AlphaFold: a solution to a 50-year-old grand challenge in biology
Similar to MDS Analysis of the CHC-based WJ III Battery: Implications for possible refinements and extensions of the CHC model of human intelligence (10)
The Model of Achievement Competence Motivation (MACM) Part E: Crossing the R...Kevin McGrew
The Model of Achievement Competence Motivation (MACM) is a series of slide modules. This is the fifth (Part E) in the series. It is brief...only 11 slides. The modules will serve as supplemental materials to "The Model of Achievement Competence Motivation (MACM)--Standing on the shoulders of giants" (McGrew, in press, 2021 - in a forthcoming special issue on motivation in the Canadian Journal of School Psychology)
The Model of Achievement Competence Motivation (MACM): Part D: The volition ...Kevin McGrew
The Model of Achievement Competence Motivation (MACM) is a series of slide modules. This is the fourth (Part D) in the series. The modules will serve as supplemental materials to "The Model of Achievement Competence Motivation (MACM)--Standing on the shoulders of giants" (McGrew, in press, 2021 - in a forthcoming special issue on motivation in the Canadian Journal of School Psychology)
The Model of Achievement Competence Motivation (MACM) Part C: The motivation...Kevin McGrew
The Model of Achievement Competence Motivation (MACM) is a series of slide modules. This is the third (Part C) in the series. The modules will serve as supplemental materials to "The Model of Achievement Competence Motivation (MACM)--Standing on the shoulders of giants" (McGrew, in press, 2021 - in a forthcoming special issue on motivation in the Canadian Journal of School Psychology)
The Model of Achievement Competence Motivation (MACM): Part B - An overview ...Kevin McGrew
The Model of Achievement Competence Motivation (MACM) is a series of slide modules. This is the second (Part B) in the series. The modules will serve as supplemental materials to "The Model of Achievement Competence Motivation (MACM)--Standing on the shoulders of giants" (McGrew, in press, 2021 - in a forthcoming special issue on motivation in the Canadian Journal of School Psychology)
The Model of Achievement Competence Motivation (MACM): Part A Introduction o...Kevin McGrew
The Model of Achievement Competence Motivation (MACM) is a series of slide modules. This is the first (Part A) in the series. The modules will serve as supplemental materials to "The Model of Achievement Competence Motivation (MACM)--Standing on the shoulders of giants" (McGrew, in press, 2021 - in a forthcoming special issue on motivation in the Canadian Journal of School Psychology)
The WJ IV Cognitive GIA in iintellectual disability (ID) assessmentKevin McGrew
This is a brief presentation that explains why the WJ IV (and WJ III) GIA IQ score is an appropriate and valid indicator of general intelligence that can be used in possible intellectual disability (ID) determinations
Beyond cognitive abilities: An integrative model of learning-related persona...Kevin McGrew
For centuries educational psychologists have highlighted the importance of "non-cognitive" variables in school learning. The presentation is a "big picture" overview of how cognitive abilities and non-cognitive factors can be integrated into an over-arching conceptual framework. The presentation also illustrates how the big picture framework can be used to conceptualize a number of contemporary "buzz word" initiatives related to building 21st century educationally important skills (social-emotional learning, critical thinking, creativity, complex problem solving, etc.)
"intelligent" intelligence testing: Why do some individuals obtain markedly ...Kevin McGrew
This is the second in a series. Please view the first ("intelligent" intelligence testing: Evaluating wihtin CHC domain test score differences) to better appreciate this module
Data and theory-based hypotheses for evaluating differences between scores on the different WJ IV tests of Gwm
A presentation on deciding when the scores from two tests, which are from the same CHC domain (e.g., Gwm), and which may have the same narrow CHC classifications, are different enough to warrant clinical interpretation.
How to evaulate the unusualness (base rate) of WJ IV cluster or test score di...Kevin McGrew
The WJ IV provides two primary methods for comparing tests or cluster scores. One is based on a predictive model (the variation and comparison procedures) and the other allows comparisons of SEM confidence bands, which takes into account each measures reliability. A third method for comparing scores, one that takes into account the correlation between compared measures (ability cohesion model) is not provided, but is frequently used by assessment professionals. The three types of score comparison methods are described and new information, via a "rule of thumb" summary slide and nomograph, are provided to allow WJ IV users to evaluate scores via all three methods.
Overview of the WJ IV Cognitive Battery: GIA and CHC ClustersKevin McGrew
This slideshow provides an overview of the composition of the WJ IV Cognitive clusters. It outlines the design principles used to assign tests to the GIA and CHC clusters, and also presents summary statistics as per the primary design principles used in constructing the COG clusters.
CHC Theory Codebook 1: Cognitive definitionsKevin McGrew
A presentation of the most up-to-date CHC broad and narrow ability definitions as adapted from McGrew & Schneider (2012) and McGrew, LaForte and Schrank (2014). One of two. See CHC Codebook 2 for additional information
WJ IV Battery Introduction and OverviewKevin McGrew
A brief introduction to the WJ IV Battery revision. This does include some slides posted previously in the three WJ IV NASP presentation slides I posted.
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.
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/
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
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.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
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!
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
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.
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
Assure Contact Center Experiences for Your Customers With ThousandEyes
MDS Analysis of the CHC-based WJ III Battery: Implications for possible refinements and extensions of the CHC model of human intelligence
1. MDS Analysis of the CHC-based WJ III Battery: Implications for possible refinements and extensions of the CHC model of human intelligence Kevin S. McGrew, PhD. Educational & School Psychologist Director Institute for Applied Psychometrics (IAP)
2. Author information and conflict of interest disclosure Dr. Kevin S. McGrew, Ph.D., is an Educational Psychologist with expertise and interests in applied psychometrics, intelligence theories and testing, human cognition, cognitive and non-cognitive individual difference variables impacting school learning, models of personal competence, conceptualization and measurement of adaptive behavior, measurement issues surrounding the assessment of individuals with disabilities, brain rhythm and mental timing research, and improving the use and understanding of psychological measurement and statistical information by professionals and the public. Prior to establishing IAP, Dr. McGrew was a practicing school psychologist for 12 years. McGrew received his Ph.D. in Educational Psychology (Special Education) from the University of Minnesota in 1989. Dr. McGrew is currently Director of the Institute for Applied Psychometrics (IAP), a privately owned applied research organization established by McGrew. He is also the Research Director for the Woodcock-Munoz Foundation (WMF), Associate Director for Measurement Learning Consultants (MLC), and a Visiting Professor in Educational Psychology (School Psychology) at the University of Minnesota. Dr. McGrew authored the current document in his role as the Director of IAP. The opinions and statements included in this report do not reflect or represent the opinions of WMF, MLC, or the University of Minnesota. More complete professional information, including his professional resume, can be found at www.iapsych.com . Conflict of Interest Disclosure : Dr. McGrew is a co-author (with a financial interest) in the Woodcock-Johnson Battery—Third Edition (WJ III; 2001) as well as the Batería III Woodcock-Muñoz (BAT III, 2005), published by Riverside Publishing . He was a paid consultant, but was not a co-author, for the Woodcock-Johnson Psychoeducational Battery—Revised (WJ-R; 1989).
3. Contemporary psychometric research has converged on the Cattell-Horn-Carroll (CHC) theory of cognitive abilities as the consensus working taxonomy of human intelligence McGrew, K. (2009). Editorial: CHC theory and the human cognitive abilities project: Standing on the shoulders of the giants of psychometric intelligence research, Intelligence , 37 , 1-10.
4. g Gf Gq Gc SAR Gsm Gv Ga TSR Glm Gs CDS Grw Gkn Gh Gk Go Gf Gc Gy Gv Gu Gr Gs Gt Gp Gps A. Carroll Three-Stratum Model B. Cattell-Horn Extended Gf-Gc Model D. Tentatively identified Stratum II (broad) domains Carroll and Cattell-Horn Broad Ability Correspondence (vertically-aligned ovals represent similar broad domains) Gf Gq Gc Gsm Gv Ga Glr Gs Gt Grw C. Cattell-Horn-Carroll (CHC) Integrated Model g Stratum III (general) Stratum II (broad) 80+ Stratum I (narrow) abilities have been identified under the Stratum II broad abilities. They are not listed here due to space limitations (see Table 1) Gf Fluid reasoning Gkn General (domain-specific) knowledge Gc Comprehension-knowledge Gh Tactile abilities Gsm Short-term memory Gk Kinesthetic abilities Gv Visual processing Go Olfactory abilities Ga Auditory processing Gp Psychomotor abilities Glr Long-term storage and retrieval Gps Psychomotor speed Gs Cognitive processing speed Gt Decision and reaction speed (see Table 1 for definitions) Grw Reading and writing Gq Quantitative knowledge CHC Broad (Stratum II) Ability Domains (Missing g -to-broad ability arrows acknowledges that Carroll and Cattell-Horn disagreed on the validity of the general factor) Complete CHC model and description of abilities can be found in: McGrew, K. (2009). Editorial: CHC theory and the human cognitive abilities project: Standing on the shoulders of the giants of psychometric intelligence research, Intelligence , 37 , 1-10.
5. CFA studies provide solid empirical support for CHC internal (structural) validity of WJ III battery
6. Structural Evidence (primarily psychometric factor analysis studies) Led to.... Cattell-Horn Gf-Gc Model 1993 Supports... Carroll Tri- Stratum Model Supports... Cattell-Horn-Carroll Theory of Cognitive Abilities (Theoretical domain) Blueprint for .. Provides validy Evidence for .. WJ-R 1989 (Measurement domain) Blueprint for .. Provides validy Evidence for .. 2001
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8. Example of MDS (Radex Model) The closer a test is to the center of the figure, the more it is related to the underlying general dimension of the battery. Also, the center represents the most cognitively complex (i.e., have the largest number of performance components) tests. Tests that group together are interpreted as sharing common stimulus content or cognitive processing characteristics
9. WJ III test abbreviations used figures VCL = Visual Closure PR = Picture Recognition SPR = Spatial Relations BR = Block Rotation PLN = Planning MN = Memory for Names DRM = DR: Memory for Names VAL = Visual-Auditory Learning DRV = DR: Visual-Auditory Learning AS = Analysis-Synthesis CF = Concept Formation AP = Applied Problems NS = Number Series NM = Number Matrices AWM = Auditory Working Memory NR = Numbers Reversed MW = Memory for Words MS = Memory for Sentences VC = Verbal Comprehension AK = Academic Knowledge GI = General Information OC = Oral Comprehension STR = Story Recall DRS = DR: Story Recall CO = Cross Out PC = Pair Cancellation VM = Visual Matching RDF = Reading Fluency REF = Retrieval Fluency MF = Math Fluency WF = Writing Fluency DS = Decision Speed RPN = Rapid Picture Naming AA = Auditory Attention SB = Sound Blending SA = Sound Awareness SNP = Sound Patterns-Voice IW = Incomplete Words AP = Applied Problems QC = Quantitative Concepts CAL = Calculation RV = Reading Vocabulary PSC = Passage Comprehension WA = Word Attach LW = Letter-Word Identication ED = Editing SOS = Spelling of Sounds SPL = Spelling WS = Writing Samples Test descriptions and CHC classifications can be found at: http://intelligencetesting.blogspot.com/2005/10/wj-iii-chc-test-classifications.html Copy is included at the end of the PDF version of this PPT-based report
10. 2-D MDS (Guttman’s Radex Model) results for WJ III test (NU norms) [ Note - Sample is all WJ III norm subjects from ages 6-18] -3 -2 -1 0 1 2 DIM(1) -2 -1 0 1 2 DIM(2) VC val SPR SB CF VM NR IW AWM drv GI REF PR AA AS DS MW RPN PLN PC LW RDF STR UD CAL MF SPL WF PSC AP WS drs WA PV OC ED RV QC AK SOS SA mn VCL SNP NS NM CO MS BR drm Tests closest to the center of the circles cross-hairs are more “cognitively complex” AS = Gf MW = Gsm mn = Glr IW = Ga SPR = Gv VM = Gs VC = Gc PSC = Grw CAL = Gq Broad CHC factor ability font key legend (based on CFA studies)
11. What about the WJ III CHC factor cluster tests? Do they group together in the MDS analysis?..........see next slide.
12. -3 -2 -1 0 1 2 DIM(1) -2 -1 0 1 2 DIM(2) val SPR CF VM IW drv REF PR AA AS PC RDF STR SPL WS drs OC ED SOS SA mn SNP NM MS Gf Gsm glr Ga Gv Gs Gc Grw Gq Broad CHC factor ability font key legend (based on CFA studies) WF RPN DS CO CAL MW AWM NR BR PLN VCL drm PV MF AP QC AK GI VC PSC WA LW RV SB NS UD
13. Are there any other process (operations) or content characteristic dimensions by which the WJ III MDS results might be viewed?....see next slide.
14. -3 -2 -1 0 1 2 DIM(1) -2 -1 0 1 2 DIM(2) val SPR VM IW drv REF AA AS PC STR SPL WS drs OC ED SOS mn SNP NM MS WF DS CAL NR BR PLN VCL drm PV MF AK GI VC PSC WA LW RV SB UD SA NS AP QC CF PR MW RDF RPN AWM CO What common characteristic/dimension do the tests below the blue dividing line have in common? Gf Gsm glr Ga Gv Gs Gc Grw Gq Broad CHC factor ability font key legend (based on CFA studies)
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16. Given the Cognitive Efficiency (CE) broad quadrant, lets draw an orthogonal (perpendicular) line to the CE dimension line and see what we find.
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18. Lets examine the upper left-hand corner quadrant. Any common features among most of the tests in this quadrant?
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20. Lets examine the final right upper corner quadrant. Any common features among most of the tests in this quadrant?
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24. The WJ III MDS findings suggest a hypothesized modified Cattell-Horn-Carroll (CHC) theory of cognitive abilities framework [with proposed intermediate factors/dimensions between broad (stratum II) and general (stratum III) levels] (Kevin McGrew 11-11-09) Unspeeded (level ) Speeded (rate) Gc Gq Ga Gsm Glr Gv Gf Gs Grw g Acquired knowledge (product-dominant) lang/symbolic abilities Thinking abilities (process-dominant) figural-spatial, lower-linguistic abilities System II cognitive processing: More cognitively controlled & deliberate System I cognitive processing (cognitive efficiency): More automatic
25. Note: In a previous IAP AP 101 report of similar analysis of the WAIS-IV, very similar findings and conclusions were noted (can be found at ( www.iqscorner.com )………see next few slides What does the WAIS-IV measure? CHC analysis and beyond Kevin S. McGrew, PhD. Educational & School Psychologist Director Institute for Applied Psychometrics (IAP)
26. -3 -1 1 3 -3 -1 1 3 CA SS CD PCM BD DS VP CO VC SI FW AR LN MR IN Short-term memory /working memory (Gsm) – Cognitive Efficiency unspeeded/memory Processing speed (Gs) - Cognitive Efficiency speeded Verbal know & comp (Gc) – Acquired Knowledge or “Product” dominant abilities? Fluid Reasoning (Gf) and Visual-spatial processing (Gv) – Thinking or “Process” dominant abilities ? MDS (Guttman Radex model) of WAIS-IV subtest intercorrelations It is a common practice in MDS analysis to visually partition the MDS spatial configuration into broader dimensions and consider interpretation at a higher-order level. The current WAIS-IV MDS revealed the following hypothesized higher-order structure Note – similar to hand rotation of factors in early days of EFA, K. McGrew took the cross-hair lines and hand rotated them (simultaneosly) until a meaningful pattern emerged. The four-broad dimensions are interpreted as being very similar to the four cognitive domains of Woodcock’s Cognitive Performance Model (CPM ) – see next two slides
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28. The CHC Information Processing Model Cognitive or Academic Performance Gsm Information Processing Loop Cognitive Efficiency Executive Control Gs Bas. Rdg Skills (Grw) Rdg Comp (Grw) Math Calc (Gq) Math Reas (Gq) Basic Writ. Skills (Grw) Written Exp (Grw) List. Comp (Gc ) Oral Exp (Gc) Comp-Know (Gc) Stores of Acquired Knowledge Facilitators-Inhibitors -Health/medications -Motivation/interest -Cog. style/temperament -Environmental/cultural -Emotional -Attention/concentration -etc Input Gf Glr Ga Gv Thinking Abilities Adapted from: Woodcock (1993), An information processing view of Gf-Gc theory. Journal of Psychoeducational Assessment: WJ-R Monograph , p. 80-102.
29. The WAIS-IV MDS findings * suggest the possibility of a modified hypothesized Cattell-Horn-Carroll (CHC) theory of cognitive abilities [with proposed intermediate factors/dimensions between broad (stratum II) and general (stratum III) levels] (Kevin McGrew 11-4-09) Gf Fluid reasoning Gc Comprehension-knowledge Gsm Short-term memory Gv Visual processing Ga Auditory processing Glr Long-term storage and retrieval Gs Cognitive processing speed Grw Reading and writing Gq Quantitative knowledge CHC Broad (Stratum II) ability domains included across cognitive and achievement test batteries Gc Gq Gf Gsm Ga Gv Glr Gs Grw g 70+ narrow (stratum I) abilities have been identified but are not included in figure for readability purposes) Acquired knowledge (product-dominant) abilities Thinking abilities (process-dominant) abilities Cognitive efficiency abilities Note. Analysis of the WJ III battery via similar MDS (both 2D and 3D model analyses) and CA methods, as well as a Carroll Schmeid-Leimen EFA/CFA analysis, has suggested similar higher-order intermediate dimensions. Results can be found at IQs Corner blog (www.iqscorner.com) * The current WAIS-IV conclusions, when combined with those for the WJ III, suggest the possibility that the unspeeded/speeded cognitive efficiency intermediate dimensions might best be conceptualized as merging into a single cognitive effficiency dimension. More information re: these hypotheses in future presentations/reports Unspeeded (level ) Speeded (rate)
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31. Food for thought: Are the MDS quadrants or partitions reflecting content “facets” or a combination of content “facets and “operations” as per the BIS model of intelligence….see next slide
32. The next steps in this research (with WJ III tests) is to run (a) 3-D MDS models, (b) CFA models that specify the hypothesized modified CHC model in prior slides, and (c) CFA models that specify both “content” and CHC “operation” (e.g., Gf, Gs, etc.) dimensions (a mixed CHC BIS model) Gs Gsm + Glr (level abilities) Carroll’s Gy Glr(fluency abilities) Gf