Self managment presentation template
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This document appears to be an assignment for a psychology course on behavior analysis. It includes sections for describing a target behavior, competing contingencies, a self-management intervention, graphs of the target behavior and benefit measures over baseline and intervention phases, and spaces for the student's results, comments, and any questions. The student is asked to fill in details about their particular applied behavior analysis project.
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Theoretical
1. The document discusses the need for a theoretical contingency to explain why an indirect-acting performance management (PM) contingency is effective in controlling behavior.
2. It provides an example of a waiter, Paul, who will receive a $5 bonus from his manager if his sales meet a 25% target for appetizers and drinks. This PM contingency is indirect-acting so a direct-acting theoretical contingency is needed.
3. The theoretical contingency examples show that it must be direct-acting, observable or inferred, and linked to the PM contingency, not the natural contingency, to properly explain why the indirect PM contingency controls behavior.
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The document provides a series of prompts and questions about contingencies and the three-contingency model. It asks the reader to identify whether examples provided are natural or performance management contingencies. It provides feedback on the reader's responses, clarifying the correct answers and explanations.
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This contingency aims to decrease Tony's aggressive behavior by withholding a reward. Specifically:
1) Previously, Tony would get a token within 30 minutes. Now, if Tony hits the nurse within 30 minutes, he will not get a token.
2) The nurse implemented this contingency to decrease Tony's aggressive behavior by making it less likely he will receive a reward (token) if he engages in the behavior.
3) This contingency is an "analog to punishment" contingency since the goal is to decrease behavior and it withholds a reward after a delay of over 60 seconds.
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The document describes Julie's swimming ability and how it improves slightly with each hard practice. This is a natural contingency that existed prior to any performance management. However, the improvement in ability is infinitesimal, making the contingency ineffective. The contingency is natural but ineffective due to the small outcome size.
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1. This document contains a series of questions to test different types of contingencies used in performance management.
2. The questions assess whether a contingency is effective at controlling behavior, planned to manage performance, and analogs to avoidance or punishment.
3. Additional criteria examined include whether responses are the same across contingencies, if outcomes are delayed or probabilities specified, and if theoretical contingencies are direct-acting or inferred.
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This document provides a checklist to help analyze and summarize contingency diagrams. It includes 10 questions to test key elements of the contingency, such as specifying the behavior, stimuli, and outcomes. The questions help determine if the diagram properly depicts a reinforcement, punishment, or prevention contingency. Completing the checklist ensures the contingency diagram accurately portrays the relationship between a response and its consequences.
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1. The document contains a review quiz for concepts in positive behavior analysis with 14 multiple choice questions.
2. It covers topics like reinforcement, behavior, extinction, punishment, shaping, and motivating operations.
3. The questions are meant to test understanding of key principles and procedures used in behavior analysis.
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1. The document defines various types of contingencies including reinforcement, punishment, avoidance, and escape contingencies.
2. It also defines concepts related to performance management like motivating operations, behavioral contingencies, rule-governed behavior, and delayed versus immediate reinforcement and punishment.
3. The document provides criteria for evaluating the effectiveness of performance management contingencies and distinguishing between natural versus planned contingencies.
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Manufacturing custom quality metal nameplates and badges involves several standard operations. Processes include sheet prep, lithography, screening, coating, punch press and inspection. All decoration is completed in the flat sheet with adhesive and tooling operations following. The possibilities for creating unique durable nameplates are endless. How will you create your brand identity? We can help!
A Deep Dive into ScyllaDB's Architecture
This talk will cover ScyllaDB Architecture from the cluster-level view and zoom in on data distribution and internal node architecture. In the process, we will learn the secret sauce used to get ScyllaDB's high availability and superior performance. We will also touch on the upcoming changes to ScyllaDB architecture, moving to strongly consistent metadata and tablets.
Leveraging the Graph for Clinical Trials and Standards
Katja Glaß
OpenStudyBuilder Community Manager - Katja Glaß Consulting
Marius Conjeaud
Principal Consultant - Neo4j
From Natural Language to Structured Solr Queries using LLMs
This talk draws on experimentation to enable AI applications with Solr. One important use case is to use AI for better accessibility and discoverability of the data: while User eXperience techniques, lexical search improvements, and data harmonization can take organizations to a good level of accessibility, a structural (or “cognitive” gap) remains between the data user needs and the data producer constraints.
That is where AI – and most importantly, Natural Language Processing and Large Language Model techniques – could make a difference. This natural language, conversational engine could facilitate access and usage of the data leveraging the semantics of any data source.
The objective of the presentation is to propose a technical approach and a way forward to achieve this goal.
The key concept is to enable users to express their search queries in natural language, which the LLM then enriches, interprets, and translates into structured queries based on the Solr index’s metadata.
This approach leverages the LLM’s ability to understand the nuances of natural language and the structure of documents within Apache Solr.
The LLM acts as an intermediary agent, offering a transparent experience to users automatically and potentially uncovering relevant documents that conventional search methods might overlook. The presentation will include the results of this experimental work, lessons learned, best practices, and the scope of future work that should improve the approach and make it production-ready.
Main news related to the CCS TSI 2023 (2023/1695)
An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers.
The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
Session 1 - Intro to Robotic Process Automation.pdf
👉 Check out our full 'Africa Series - Automation Student Developers (EN)' page to register for the full program:
https://bit.ly/Automation_Student_Kickstart
In this session, we shall introduce you to the world of automation, the UiPath Platform, and guide you on how to install and setup UiPath Studio on your Windows PC.
📕 Detailed agenda:
What is RPA? Benefits of RPA?
RPA Applications
The UiPath End-to-End Automation Platform
UiPath Studio CE Installation and Setup
💻 Extra training through UiPath Academy:
Introduction to Automation
UiPath Business Automation Platform
Explore automation development with UiPath Studio
👉 Register here for our upcoming Session 2 on June 20: Introduction to UiPath Studio Fundamentals: https://community.uipath.com/events/details/uipath-lagos-presents-session-2-introduction-to-uipath-studio-fundamentals/
Dandelion Hashtable: beyond billion requests per second on a commodity server
This slide deck presents DLHT, a concurrent in-memory hashtable. Despite efforts to optimize hashtables, that go as far as sacrificing core functionality, state-of-the-art designs still incur multiple memory accesses per request and block request processing in three cases. First, most hashtables block while waiting for data to be retrieved from memory. Second, open-addressing designs, which represent the current state-of-the-art, either cannot free index slots on deletes or must block all requests to do so. Third, index resizes block every request until all objects are copied to the new index. Defying folklore wisdom, DLHT forgoes open-addressing and adopts a fully-featured and memory-aware closed-addressing design based on bounded cache-line-chaining. This design offers lock-free index operations and deletes that free slots instantly, (2) completes most requests with a single memory access, (3) utilizes software prefetching to hide memory latencies, and (4) employs a novel non-blocking and parallel resizing. In a commodity server and a memory-resident workload, DLHT surpasses 1.6B requests per second and provides 3.5x (12x) the throughput of the state-of-the-art closed-addressing (open-addressing) resizable hashtable on Gets (Deletes).
zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...
Folding is a recent technique for building efficient recursive SNARKs. Several elegant folding protocols have been proposed, such as Nova, Supernova, Hypernova, Protostar, and others. However, all of them rely on an additively homomorphic commitment scheme based on discrete log, and are therefore not post-quantum secure. In this work we present LatticeFold, the first lattice-based folding protocol based on the Module SIS problem. This folding protocol naturally leads to an efficient recursive lattice-based SNARK and an efficient PCD scheme. LatticeFold supports folding low-degree relations, such as R1CS, as well as high-degree relations, such as CCS. The key challenge is to construct a secure folding protocol that works with the Ajtai commitment scheme. The difficulty, is ensuring that extracted witnesses are low norm through many rounds of folding. We present a novel technique using the sumcheck protocol to ensure that extracted witnesses are always low norm no matter how many rounds of folding are used. Our evaluation of the final proof system suggests that it is as performant as Hypernova, while providing post-quantum security.
Paper Link: https://eprint.iacr.org/2024/257
"What does it really mean for your system to be available, or how to define w...
We will talk about system monitoring from a few different angles. We will start by covering the basics, then discuss SLOs, how to define them, and why understanding the business well is crucial for success in this exercise.
"NATO Hackathon Winner: AI-Powered Drug Search", Taras Kloba
This is a session that details how PostgreSQL's features and Azure AI Services can be effectively used to significantly enhance the search functionality in any application.
In this session, we'll share insights on how we used PostgreSQL to facilitate precise searches across multiple fields in our mobile application. The techniques include using LIKE and ILIKE operators and integrating a trigram-based search to handle potential misspellings, thereby increasing the search accuracy.
We'll also discuss how the azure_ai extension on PostgreSQL databases in Azure and Azure AI Services were utilized to create vectors from user input, a feature beneficial when users wish to find specific items based on text prompts. While our application's case study involves a drug search, the techniques and principles shared in this session can be adapted to improve search functionality in a wide range of applications. Join us to learn how PostgreSQL and Azure AI can be harnessed to enhance your application's search capability.
High performance Serverless Java on AWS- GoTo Amsterdam 2024
Java is for many years one of the most popular programming languages, but it used to have hard times in the Serverless community. Java is known for its high cold start times and high memory footprint, comparing to other programming languages like Node.js and Python. In this talk I'll look at the general best practices and techniques we can use to decrease memory consumption, cold start times for Java Serverless development on AWS including GraalVM (Native Image) and AWS own offering SnapStart based on Firecracker microVM snapshot and restore and CRaC (Coordinated Restore at Checkpoint) runtime hooks. I'll also provide a lot of benchmarking on Lambda functions trying out various deployment package sizes, Lambda memory settings, Java compilation options and HTTP (a)synchronous clients and measure their impact on cold and warm start times.
Day 2 - Intro to UiPath Studio Fundamentals
In our second session, we shall learn all about the main features and fundamentals of UiPath Studio that enable us to use the building blocks for any automation project.
📕 Detailed agenda:
Variables and Datatypes
Workflow Layouts
Arguments
Control Flows and Loops
Conditional Statements
💻 Extra training through UiPath Academy:
Variables, Constants, and Arguments in Studio
Control Flow in Studio
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Northern Engraving | Nameplate Manufacturing Process - 2024
Northern Engraving | Nameplate Manufacturing Process - 2024
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From Natural Language to Structured Solr Queries using LLMs
Session 1 - Intro to Robotic Process Automation.pdf
Session 1 - Intro to Robotic Process Automation.pdf
Dandelion Hashtable: beyond billion requests per second on a commodity server
Dandelion Hashtable: beyond billion requests per second on a commodity server
zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...
zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...
"What does it really mean for your system to be available, or how to define w...
"What does it really mean for your system to be available, or how to define w...
"NATO Hackathon Winner: AI-Powered Drug Search", Taras Kloba
"NATO Hackathon Winner: AI-Powered Drug Search", Taras Kloba
High performance Serverless Java on AWS- GoTo Amsterdam 2024
High performance Serverless Java on AWS- GoTo Amsterdam 2024
Nordic Marketo Engage User Group_June 13_ 2024.pptx
Nordic Marketo Engage User Group_June 13_ 2024.pptx
Self managment presentation template
- 1. Type your title here Psychology 460 Your name TA: Your TA Date
- 4. Natural Competing Contingency Type yours here Type yours here Type yours here BEFORE AFTER BEHAVIOR
- 6. Ineffective Natural Contingency Type yours here Type yours here Type yours here BEFORE AFTER BEHAVIOR
- 7. Performance-Management Contingency Type yours here Type yours here Type yours here BEFORE AFTER BEHAVIOR
- 8. Target Behavior Graph Baseline SM Weeks Type your label here
- 9. Benefit Measure Graph Baseline SM Weeks Type your label here
- 14. THANK YOU!! Any Questions or Comments?