Implications of agricultural growth for poverty reduction in Ethiopiaguest9970726
1) The document analyzes the impact of agricultural growth on poverty reduction in Ethiopia, examining current growth rates and the potential effects of accelerated productivity increases.
2) It describes an economy-wide model that projects economic growth under baseline and accelerated agricultural growth scenarios from 2005-2015.
3) The results show that achieving targeted crop and livestock yield increases raises agricultural growth from 3.8% to 6.0% annually, with strong expansion in cereals, export crops, and livestock production. However, faster growth reduces prices for some commodities like maize, wheat and livestock.
This document defines unemployment and discusses different types and measures of unemployment. It provides key trends in UK unemployment from 1990 to 2009, showing a long period of falling unemployment until 2008 when it increased sharply due to the recession. Different types of unemployment are outlined, including frictional, seasonal, structural, and cyclical unemployment. The relationship between GDP growth and employment is examined, as well as implications of unemployment for businesses, such as potential responses to low or high unemployment environments.
Value chain analysis of sheep in Atsbi district of Tigray Region, EthiopiaILRI
Presented by Embaye Kidanu, Mengistu Regassa and Getachew Legesse at the Multi-stakeholder Workshop for Targeting Action Research on Atsbi sheep and Abergelle goat Value Chains in Tigray, Ethiopia, Mekelle, 19-20 March 2013
1) The study aimed to develop a grass cover map of Somuncurá Reserve in northern Patagonia, Argentina using Landsat imagery and determine which levels of grass cover guanacos select.
2) Random forest analysis of EVI and MSI bands from Landsat imagery produced a grass cover percentage map with a correlation of 0.776.
3) Analysis of guanaco census data found they significantly selected areas with 20-30% grass cover in most seasons over expected availability, selecting against areas with 10-20% grass cover in some seasons.
Vertical and Spatial Integration of Live animal and Meat Markets in Ethiopiaessp2
The document analyzes the vertical and spatial integration of live animal and meat markets in Ethiopia. It uses a threshold autoregressive (TAR) model to examine integration between producer and retail prices (vertical), retail and meat prices (vertical), and retail prices across spatially separated zones (spatial).
The results show strong spatial integration in Addis Ababa and Harari markets but weak integration in Somali and Amhara markets. Most zones exhibit strong vertical integration between producer and retail prices except in Amhara. There is very weak vertical integration between retail and meat prices, with the fastest adjustment around 3 months in Harari. Transaction costs between markets generally declined from 1998 to 2011 in some regions.
The document discusses different ways of measuring unemployment and types of unemployment. It provides statistics on unemployment in the UK compared to other countries. Key points include:
1) There are different ways to measure unemployment, including the claimant count and labour force survey.
2) There are different types of unemployment, such as frictional, structural, cyclical, and real wage unemployment.
3) Unemployment imposes economic and social costs, including lost output and increased poverty and health issues. It also negatively impacts businesses and increases government spending.
Implications of agricultural growth for poverty reduction in Ethiopiaguest9970726
1) The document analyzes the impact of agricultural growth on poverty reduction in Ethiopia, examining current growth rates and the potential effects of accelerated productivity increases.
2) It describes an economy-wide model that projects economic growth under baseline and accelerated agricultural growth scenarios from 2005-2015.
3) The results show that achieving targeted crop and livestock yield increases raises agricultural growth from 3.8% to 6.0% annually, with strong expansion in cereals, export crops, and livestock production. However, faster growth reduces prices for some commodities like maize, wheat and livestock.
This document defines unemployment and discusses different types and measures of unemployment. It provides key trends in UK unemployment from 1990 to 2009, showing a long period of falling unemployment until 2008 when it increased sharply due to the recession. Different types of unemployment are outlined, including frictional, seasonal, structural, and cyclical unemployment. The relationship between GDP growth and employment is examined, as well as implications of unemployment for businesses, such as potential responses to low or high unemployment environments.
Value chain analysis of sheep in Atsbi district of Tigray Region, EthiopiaILRI
Presented by Embaye Kidanu, Mengistu Regassa and Getachew Legesse at the Multi-stakeholder Workshop for Targeting Action Research on Atsbi sheep and Abergelle goat Value Chains in Tigray, Ethiopia, Mekelle, 19-20 March 2013
1) The study aimed to develop a grass cover map of Somuncurá Reserve in northern Patagonia, Argentina using Landsat imagery and determine which levels of grass cover guanacos select.
2) Random forest analysis of EVI and MSI bands from Landsat imagery produced a grass cover percentage map with a correlation of 0.776.
3) Analysis of guanaco census data found they significantly selected areas with 20-30% grass cover in most seasons over expected availability, selecting against areas with 10-20% grass cover in some seasons.
Vertical and Spatial Integration of Live animal and Meat Markets in Ethiopiaessp2
The document analyzes the vertical and spatial integration of live animal and meat markets in Ethiopia. It uses a threshold autoregressive (TAR) model to examine integration between producer and retail prices (vertical), retail and meat prices (vertical), and retail prices across spatially separated zones (spatial).
The results show strong spatial integration in Addis Ababa and Harari markets but weak integration in Somali and Amhara markets. Most zones exhibit strong vertical integration between producer and retail prices except in Amhara. There is very weak vertical integration between retail and meat prices, with the fastest adjustment around 3 months in Harari. Transaction costs between markets generally declined from 1998 to 2011 in some regions.
The document discusses different ways of measuring unemployment and types of unemployment. It provides statistics on unemployment in the UK compared to other countries. Key points include:
1) There are different ways to measure unemployment, including the claimant count and labour force survey.
2) There are different types of unemployment, such as frictional, structural, cyclical, and real wage unemployment.
3) Unemployment imposes economic and social costs, including lost output and increased poverty and health issues. It also negatively impacts businesses and increases government spending.
The document discusses the challenges of climate change for agriculture and food security. As the concentration of greenhouse gases rises, crop suitability and yields are already changing, threatening food security. To meet growing demands, food production will need to increase by 60-70% by 2050. Left unchecked, climate change could result in 20% more malnourished children by 2050. The document outlines the research objectives and activities of the Consultative Group on International Agricultural Research (CGIAR) Research Program on Climate Change, Agriculture and Food Security (CCAFS) to help adapt agriculture to climate change and reduce poverty through low-carbon pathways.
Fana Abay - The contribution of urban agriculture to climate changeAfricaAdapt
Urban agriculture can help address the impacts of climate change and increase food security in cities. It reduces greenhouse gas emissions by decreasing transportation and fossil fuel use. Urban agriculture also promotes nutrient cycling, waste management through composting, and enhances the urban environment through greening. While land and water access pose difficulties, low-cost techniques like container gardening can help overcome these challenges and allow urban agriculture to provide multiple benefits in urban areas vulnerable to climate change impacts.
Policy Seminar “Boserup and Beyond Mounting Land Pressures & Development Strategies in Africa” at IFPRI on 4 September 2014. Presentation by Milu Muyanga, Assistant Professor, International Development Agricultural, Food, and Resource Economics, Michigan State University.
Challenges and Opportunities for Agrican Urban Agriculture SIANI
Presented at the workshop "Urban and peri-urban agriculture in low-income countries" organised by SLU Global and SIANI. Read more here: http://www.siani.se/theme-groups/sustainable-agricultural-production-and-food-security
Product traceability and food safety (15 oct08)ECR Community
The document discusses issues around consumer trust in food and consumer products due to contamination issues and misleading health claims. It argues that establishing full traceability systems across supply chains can help rebuild consumer trust by enabling companies to track products, isolate risks, and credibly support product claims. However, current traceability systems have gaps, and a virtual traceability ecosystem is needed to realize the full benefits of traceability.
By Michael Johnson, Sam Benin, Xinshen Diao, and Liangzhi You.
Presented at the ASTI-FARA conference Agricultural R&D: Investing in Africa's Future: Analyzing Trends, Challenges, and Opportunities - Accra, Ghana on December 5-7, 2011. http://www.asti.cgiar.org/2011conf
Urban agriculture and climate change enda ethiopiaAdeyenda
The document discusses the role of urban agriculture in addressing climate change impacts and promoting sustainability in urban areas. It outlines how climate change threatens urban populations through increased flooding, droughts and heat waves. Urban agriculture can help adapt by providing food and income, improving soil and air quality, reducing emissions through local production and waste recycling, and building resilience of vulnerable groups. The document also describes an organization's experience promoting urban agriculture in Ethiopia to boost livelihoods and nutrition of poor and HIV-affected communities through training and demonstration of organic farming techniques.
The document provides an overview of onion production in Ethiopia and analyzes the onion value chain. It discusses how onion is an important vegetable crop in Ethiopia but productivity is lower than other countries due to limited availability of quality seeds and technologies. The value chain begins with land preparation and includes planting, harvesting, cleaning, and domestic marketing. Understanding the activities and relationships between actors in the chain can help identify inefficiencies and opportunities for improvement. The goal of the analysis is to investigate the current onion value chain in order to understand production, bottlenecks, and how to increase small farmer incomes through a demand-driven approach.
Innovations in agricultural extension: What can Ethiopia learn from global ex...ILRI
Presented by Ranjitha Puskur, Ponniah Anandajayasekeram and Sindu Workneh at the MoARD Workshop on “Improving Agricultural Extension Service Delivery Approaches”, Addis Ababa, Ethiopia, 22 June 2006.
The impact of increased teff production on ethiopia's economyessp2
International Food Policy Research Institute/ Ethiopia Strategy Support Program (IFPRI/ ESSP)and Ethiopian Development Research Institute (EDRI) Coordinated a conference with Agriculutral Transformation Agency (ATA) and Ministry of Agriculutrue (MoA) on Teff Value Chain at Hilton Hotel Addis Ababa on October 10, 2013.
Transforming Agri-food Systems in Ethiopia: Evidence from the Dairy Sectoressp2
This document summarizes findings from a study of the transformation of Ethiopia's dairy sector, focusing on farms supplying Addis Ababa. It finds: (1) Increased dairy consumption and processing in Addis; (2) Emergence of commercial dairy farms near Addis; (3) Improved access to services, input adoption, and yields on farms, though challenges remain for small/remote farms. The dairy sector is transforming but from a low base, with market access and inclusiveness requiring further effort.
Developing the butter value chain in Ethiopia ILRI
Presented by Berhanu Gebremedhin, Azage Tegegne, Dirk Hoekstra, Samson Jemaneh, Kaleb Shiferaw and Aklilu Bogale at the 22 Annual Conference of the Ethiopian Society of Animal Production (ESAP), Addis Ababa, Ethiopia, 28-30 August 2014
Implications of Price and Production Shocks on Food Security in Ethiopia: A G...guest9970726
The document summarizes the results of a computable general equilibrium (CGE) model analysis of the implications of price and production shocks on food security in Ethiopia. The model simulates the impact of drought-induced crop failures and livestock losses. It finds that while local household incomes fall significantly, national impacts are small due to Ethiopia's diverse agriculture and integrated markets absorbing supply changes. Isolated local shocks primarily impact the local area.
The document discusses the challenges of climate change for agriculture and food security. As the concentration of greenhouse gases rises, crop suitability and yields are already changing, threatening food security. To meet growing demands, food production will need to increase by 60-70% by 2050. Left unchecked, climate change could result in 20% more malnourished children by 2050. The document outlines the research objectives and activities of the Consultative Group on International Agricultural Research (CGIAR) Research Program on Climate Change, Agriculture and Food Security (CCAFS) to help adapt agriculture to climate change and reduce poverty through low-carbon pathways.
Fana Abay - The contribution of urban agriculture to climate changeAfricaAdapt
Urban agriculture can help address the impacts of climate change and increase food security in cities. It reduces greenhouse gas emissions by decreasing transportation and fossil fuel use. Urban agriculture also promotes nutrient cycling, waste management through composting, and enhances the urban environment through greening. While land and water access pose difficulties, low-cost techniques like container gardening can help overcome these challenges and allow urban agriculture to provide multiple benefits in urban areas vulnerable to climate change impacts.
Policy Seminar “Boserup and Beyond Mounting Land Pressures & Development Strategies in Africa” at IFPRI on 4 September 2014. Presentation by Milu Muyanga, Assistant Professor, International Development Agricultural, Food, and Resource Economics, Michigan State University.
Challenges and Opportunities for Agrican Urban Agriculture SIANI
Presented at the workshop "Urban and peri-urban agriculture in low-income countries" organised by SLU Global and SIANI. Read more here: http://www.siani.se/theme-groups/sustainable-agricultural-production-and-food-security
Product traceability and food safety (15 oct08)ECR Community
The document discusses issues around consumer trust in food and consumer products due to contamination issues and misleading health claims. It argues that establishing full traceability systems across supply chains can help rebuild consumer trust by enabling companies to track products, isolate risks, and credibly support product claims. However, current traceability systems have gaps, and a virtual traceability ecosystem is needed to realize the full benefits of traceability.
By Michael Johnson, Sam Benin, Xinshen Diao, and Liangzhi You.
Presented at the ASTI-FARA conference Agricultural R&D: Investing in Africa's Future: Analyzing Trends, Challenges, and Opportunities - Accra, Ghana on December 5-7, 2011. http://www.asti.cgiar.org/2011conf
Urban agriculture and climate change enda ethiopiaAdeyenda
The document discusses the role of urban agriculture in addressing climate change impacts and promoting sustainability in urban areas. It outlines how climate change threatens urban populations through increased flooding, droughts and heat waves. Urban agriculture can help adapt by providing food and income, improving soil and air quality, reducing emissions through local production and waste recycling, and building resilience of vulnerable groups. The document also describes an organization's experience promoting urban agriculture in Ethiopia to boost livelihoods and nutrition of poor and HIV-affected communities through training and demonstration of organic farming techniques.
The document provides an overview of onion production in Ethiopia and analyzes the onion value chain. It discusses how onion is an important vegetable crop in Ethiopia but productivity is lower than other countries due to limited availability of quality seeds and technologies. The value chain begins with land preparation and includes planting, harvesting, cleaning, and domestic marketing. Understanding the activities and relationships between actors in the chain can help identify inefficiencies and opportunities for improvement. The goal of the analysis is to investigate the current onion value chain in order to understand production, bottlenecks, and how to increase small farmer incomes through a demand-driven approach.
Innovations in agricultural extension: What can Ethiopia learn from global ex...ILRI
Presented by Ranjitha Puskur, Ponniah Anandajayasekeram and Sindu Workneh at the MoARD Workshop on “Improving Agricultural Extension Service Delivery Approaches”, Addis Ababa, Ethiopia, 22 June 2006.
The impact of increased teff production on ethiopia's economyessp2
International Food Policy Research Institute/ Ethiopia Strategy Support Program (IFPRI/ ESSP)and Ethiopian Development Research Institute (EDRI) Coordinated a conference with Agriculutral Transformation Agency (ATA) and Ministry of Agriculutrue (MoA) on Teff Value Chain at Hilton Hotel Addis Ababa on October 10, 2013.
Transforming Agri-food Systems in Ethiopia: Evidence from the Dairy Sectoressp2
This document summarizes findings from a study of the transformation of Ethiopia's dairy sector, focusing on farms supplying Addis Ababa. It finds: (1) Increased dairy consumption and processing in Addis; (2) Emergence of commercial dairy farms near Addis; (3) Improved access to services, input adoption, and yields on farms, though challenges remain for small/remote farms. The dairy sector is transforming but from a low base, with market access and inclusiveness requiring further effort.
Developing the butter value chain in Ethiopia ILRI
Presented by Berhanu Gebremedhin, Azage Tegegne, Dirk Hoekstra, Samson Jemaneh, Kaleb Shiferaw and Aklilu Bogale at the 22 Annual Conference of the Ethiopian Society of Animal Production (ESAP), Addis Ababa, Ethiopia, 28-30 August 2014
Implications of Price and Production Shocks on Food Security in Ethiopia: A G...guest9970726
The document summarizes the results of a computable general equilibrium (CGE) model analysis of the implications of price and production shocks on food security in Ethiopia. The model simulates the impact of drought-induced crop failures and livestock losses. It finds that while local household incomes fall significantly, national impacts are small due to Ethiopia's diverse agriculture and integrated markets absorbing supply changes. Isolated local shocks primarily impact the local area.
Similar to Agricultural Growth and Poverty Reduction in Ethiopia: A General Equilibrium Analysis (10)
Grain Markets and Large Social Transfers:An Analysis of Productive Safety Net...guest9970726
This document analyzes Ethiopia's Productive Safety Net Program (PSNP), which provides social transfers to poor households. The PSNP uses both cash transfers and in-kind food transfers. It analyzes whether the PSNP is linked to unusual price trends in grain markets and examines the price effects of cash versus food transfers under different market integration scenarios. Key findings include that prices in PSNP regions are generally above non-PSNP regions, and cash transfers could integrate separated markets and further increase price differences, while food transfers could lower prices and reduce differences. The PSNP may have influenced national price trends through its scale of coverage and transfers.
Does microfinance reduce rural poverty? Evidence based on long term household...guest9970726
1) The study evaluates the long-term impact of microfinance loans on rural poverty in Ethiopia using a panel dataset over 1997-2006.
2) Results show microfinance loans modestly increased annual household consumption by $23-48 and likelihood of housing improvements by 0.27, but impact is smaller when controlling for time-varying factors.
3) Higher frequency and longer duration of borrowing is associated with larger impacts on consumption and improvements become significant only after several years of borrowing.
Policies to Promote Smallholder Intensification in Ethiopia:The Search for Ap...guest9970726
1) The document analyzes Ethiopia's policies and programs over the past decades that aimed to promote smallholder intensification through improved access to seed, fertilizer, and extension services. 2) It focuses on three key policy "episodes" between 1995-present to examine the roles of public and private sectors in input and extension systems and markets. 3) The episodes show periods of success in intensification followed by volatility, raising questions about how policies have helped or hindered efforts and the shifting roles of public and private sectors over time.
Poverty Mapping, An overview of methods,based on a Malawi analysisguest9970726
Poverty mapping involves using household survey data and census data to estimate welfare levels and poverty rates at small geographic areas. It relates household characteristics from the survey to welfare levels, then uses those relationships to predict welfare for all households in the census based on their characteristics. This allows for spatially disaggregated poverty estimates. The document describes applying this method to Malawi using a 1997 household survey and 1998 census, generating poverty estimates for districts and wards. It outlines the key steps of variable harmonization, model development, and applying the model to census data.
leewayhertz.com-AI in predictive maintenance Use cases technologies benefits ...alexjohnson7307
Predictive maintenance is a proactive approach that anticipates equipment failures before they happen. At the forefront of this innovative strategy is Artificial Intelligence (AI), which brings unprecedented precision and efficiency. AI in predictive maintenance is transforming industries by reducing downtime, minimizing costs, and enhancing productivity.
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
Skybuffer AI: Advanced Conversational and Generative AI Solution on SAP Busin...Tatiana Kojar
Skybuffer AI, built on the robust SAP Business Technology Platform (SAP BTP), is the latest and most advanced version of our AI development, reaffirming our commitment to delivering top-tier AI solutions. Skybuffer AI harnesses all the innovative capabilities of the SAP BTP in the AI domain, from Conversational AI to cutting-edge Generative AI and Retrieval-Augmented Generation (RAG). It also helps SAP customers safeguard their investments into SAP Conversational AI and ensure a seamless, one-click transition to SAP Business AI.
With Skybuffer AI, various AI models can be integrated into a single communication channel such as Microsoft Teams. This integration empowers business users with insights drawn from SAP backend systems, enterprise documents, and the expansive knowledge of Generative AI. And the best part of it is that it is all managed through our intuitive no-code Action Server interface, requiring no extensive coding knowledge and making the advanced AI accessible to more users.
Digital Banking in the Cloud: How Citizens Bank Unlocked Their MainframePrecisely
Inconsistent user experience and siloed data, high costs, and changing customer expectations – Citizens Bank was experiencing these challenges while it was attempting to deliver a superior digital banking experience for its clients. Its core banking applications run on the mainframe and Citizens was using legacy utilities to get the critical mainframe data to feed customer-facing channels, like call centers, web, and mobile. Ultimately, this led to higher operating costs (MIPS), delayed response times, and longer time to market.
Ever-changing customer expectations demand more modern digital experiences, and the bank needed to find a solution that could provide real-time data to its customer channels with low latency and operating costs. Join this session to learn how Citizens is leveraging Precisely to replicate mainframe data to its customer channels and deliver on their “modern digital bank” experiences.
5th LF Energy Power Grid Model Meet-up SlidesDanBrown980551
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
Salesforce Integration for Bonterra Impact Management (fka Social Solutions A...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 integration of Salesforce with Bonterra Impact Management.
Interested in deploying an integration with Salesforce for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Main news related to the CCS TSI 2023 (2023/1695)Jakub Marek
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 .
FREE A4 Cyber Security Awareness Posters-Social Engineering part 3Data Hops
Free A4 downloadable and printable Cyber Security, Social Engineering Safety and security Training Posters . Promote security awareness in the home or workplace. Lock them Out From training providers datahops.com
zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...Alex Pruden
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
Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
Trusted Execution Environment for Decentralized Process MiningLucaBarbaro3
Presentation of the paper "Trusted Execution Environment for Decentralized Process Mining" given during the CAiSE 2024 Conference in Cyprus on June 7, 2024.
A Comprehensive Guide to DeFi Development Services in 2024Intelisync
DeFi represents a paradigm shift in the financial industry. Instead of relying on traditional, centralized institutions like banks, DeFi leverages blockchain technology to create a decentralized network of financial services. This means that financial transactions can occur directly between parties, without intermediaries, using smart contracts on platforms like Ethereum.
In 2024, we are witnessing an explosion of new DeFi projects and protocols, each pushing the boundaries of what’s possible in finance.
In summary, DeFi in 2024 is not just a trend; it’s a revolution that democratizes finance, enhances security and transparency, and fosters continuous innovation. As we proceed through this presentation, we'll explore the various components and services of DeFi in detail, shedding light on how they are transforming the financial landscape.
At Intelisync, we specialize in providing comprehensive DeFi development services tailored to meet the unique needs of our clients. From smart contract development to dApp creation and security audits, we ensure that your DeFi project is built with innovation, security, and scalability in mind. Trust Intelisync to guide you through the intricate landscape of decentralized finance and unlock the full potential of blockchain technology.
Ready to take your DeFi project to the next level? Partner with Intelisync for expert DeFi development services today!
HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
Freshworks Rethinks NoSQL for Rapid Scaling & Cost-EfficiencyScyllaDB
Freshworks creates AI-boosted business software that helps employees work more efficiently and effectively. Managing data across multiple RDBMS and NoSQL databases was already a challenge at their current scale. To prepare for 10X growth, they knew it was time to rethink their database strategy. Learn how they architected a solution that would simplify scaling while keeping costs under control.
Generating privacy-protected synthetic data using Secludy and MilvusZilliz
During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdfChart Kalyan
A Mix Chart displays historical data of numbers in a graphical or tabular form. The Kalyan Rajdhani Mix Chart specifically shows the results of a sequence of numbers over different periods.
Best 20 SEO Techniques To Improve Website Visibility In SERPPixlogix Infotech
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/temporal-event-neural-networks-a-more-efficient-alternative-to-the-transformer-a-presentation-from-brainchip/
Chris Jones, Director of Product Management at BrainChip , presents the “Temporal Event Neural Networks: A More Efficient Alternative to the Transformer” tutorial at the May 2024 Embedded Vision Summit.
The expansion of AI services necessitates enhanced computational capabilities on edge devices. Temporal Event Neural Networks (TENNs), developed by BrainChip, represent a novel and highly efficient state-space network. TENNs demonstrate exceptional proficiency in handling multi-dimensional streaming data, facilitating advancements in object detection, action recognition, speech enhancement and language model/sequence generation. Through the utilization of polynomial-based continuous convolutions, TENNs streamline models, expedite training processes and significantly diminish memory requirements, achieving notable reductions of up to 50x in parameters and 5,000x in energy consumption compared to prevailing methodologies like transformers.
Integration with BrainChip’s Akida neuromorphic hardware IP further enhances TENNs’ capabilities, enabling the realization of highly capable, portable and passively cooled edge devices. This presentation delves into the technical innovations underlying TENNs, presents real-world benchmarks, and elucidates how this cutting-edge approach is positioned to revolutionize edge AI across diverse applications.
“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...
Agricultural Growth and Poverty Reduction in Ethiopia: A General Equilibrium Analysis
1. Agricultural Growth and
Poverty Reduction in Ethiopia:
A General Equilibrium Analysis
Paul Dorosh
James Thurlow
International Food Policy Research Institute (IFPRI)
(Ethiopia Strategy Support Program, ESSP-2)
With the support of the EDRI/University of Sussex
Social Accounting Matrix team
CAADP Roundtable
Nazareth, Ethiopia
26 August 2009
2. Research Questions
• How much will poverty decline under the current
growth path?
• What is the growth and poverty impact of
increasing yields and productivity for different
crops and sub-sectors?
• Is the 6% CAADP agricultural growth target
achievable and can it halve poverty by 2015?
• Which crops and agricultural sub-sectors are best
at generating national growth and/or poverty
reduction?
3. Methodology
• Dynamic CGE model (2005-2015)
• Many agricultural sectors
– Based on district crop and livestock data
– Calibrated to replicate observed yields and harvested
land areas
• Links to upstream sectors (e.g. processing)
• Regionalized (based on agro-zones)
• Disaggregated households
– Rural farm (by land size, asset holding, etc)
– Rural non-farm and urban
• Micro-simulation poverty module
4. The Data Base
EDRI Social Accounting Matrix 2004/05
– Constructed as part of a project with the
University of Sussex (w/support of IFPRI-ESSP2)
– 65 production sectors (24 agricultural, 10
agricultural processing, 20 other industry, 11
services)
– Regional SAM based on the “3 Ethiopias”
• Rainfall sufficient, drought prone, pastoralist
• Rainfall sufficient AEZ disaggregated to humid lowlands,
enset-based systems, and other (highland) rainfall
sufficient areas
– Poor and non-poor groups in rural and urban
areas
6. Baseline Scenario Assumptions
• Agriculture
– Land cultivated for each crop follows medium-term trends:
total land cultivated increases 2.6% per year, 2009-2015
– Land growth varies across region (1.2% per year in rainfall
sufficient areas, 3.2% per year in drought-prone areas,
3.7% per year in pastoralist areas)
– Crop yield increases account for one-third of the crop
production growth
– Overall agricultural GDP growth: 4.0%/year
– Note: population growth rate is 3.0 percent/year
• Non-agricultural output growth based on historical
medium-term trends:
– Manufacturing: 6.5% per year
– Services: 6.7% per year
12. Caveats
– Revised simulations will use a new version of EDRI
SAM scheduled to be completed in early June 2009
– Sensitivity analysis regarding key assumptions and
parameters is required
– Further analysis is needed regarding the costs of
achieving the productivity increases simulated here
– Additional analysis of regional strategies is also
needed
13. Concluding Observations: ADLI
• The simulations indicate that agricultural growth
does have significant poverty-reducing effects.
– This indicates that the overall Agriculture
Development-Led Industrialization (ADLI) strategy, as
well as the basic CAADP and AGP programs, are sound
approaches
• Complementary non-agricultural growth (in
addition to agricultural growth linkages) can have
a marginal impact on poverty equal in size to that
of accelerated agricultural growth
14. Concluding Observations: Markets
– Although agricultural growth raises rural incomes
through production increases and growth linkages
with the non-agricultural sector, national average
real prices of some products (especially wheat, maize
and milk) may fall
– Moreover, if local marketing constraints are not
resolved, localized market gluts could occur, seriously
reducing incentives for production
– Nonetheless, reduced prices of major staples helps
reduce poverty of net food purchasers