Cake - An Ethereum Powered Social Network Aggregator
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Cake is a proposed social network aggregator that would allow users to view updates from multiple social networks and apps in one place. It would be powered by Ethereum and allow users to monetize their own data if they choose. Some key aspects include allowing users to access their social networks from any device via a web app without installing additional apps, retaining control over their own data and identity, and getting updates even without an internet connection by using decentralized nodes run by the community. The goal is to provide a more user-friendly and private alternative to existing social platforms.
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Cyber bullying is increasing as more teenagers use social media. Being bullied online affects children's well-being and can prevent them from attending school. Solutions include making social media sites require minimum ages and adding reporting buttons. Computer viruses pose a threat by deleting files or crashing systems. People are affected when they access suspicious emails or websites. Teaching computer safety can help prevent viruses. Spam emails falsely claiming prizes or expired security increase as people are tricked into clicking malicious links, introducing viruses. Phishing scams trick people into revealing private details on fake websites resembling real ones. Denial of service attacks aim to make networks or machines unavailable to intended users by overloading them. Strengthening security can help address this threat.
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Dangers facebook
Facebook is vulnerable to hackers who can alter profile information without users' knowledge. Many pictures uploaded daily could contain viruses, though Facebook checks uploads it cannot catch all newly created viruses. Additionally, fake Facebook websites try to steal login credentials under false pretenses of viewing new photos. Heavy Facebook use can become addictive, wasting large amounts of time that could be spent on more important tasks. Employers also sometimes check applicants' social media profiles, which could reveal unprofessional content and reduce chances of getting hired if present. Facebook also compromises privacy by exposing all personal updates to a user's full friend network.
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Dangers of facebook by sani
Facebook is vulnerable to hackers who alter profiles and upload viruses through pictures. Hackers also create fake Facebook login pages to steal user passwords. Facebook can be addictive due to frequent checking and time spent on activities with friends. Prospective employers sometimes search applicants' public Facebook profiles, which could reveal unprofessional content and jeopardize job offers if personal information is exposed.
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Dangers facebook
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Facebook is vulnerable to hackers who alter profiles and upload viruses through pictures. Hackers also create fake Facebook login pages to steal user credentials. Additionally, Facebook can be addictive due to the frequent checking and time spent on activities like commenting, viewing photos, and playing games. This overuse of time on Facebook means less time for important work. Further, information and pictures shared on profiles may negatively impact job opportunities if viewed by potential employers. Facebook also compromises privacy by exposing personal updates to all friends.
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GlobalLogic Java Community Webinar #18 “How to Improve Web Application Perfor...
Під час доповіді відповімо на питання, навіщо потрібно підвищувати продуктивність аплікації і які є найефективніші способи для цього. А також поговоримо про те, що таке кеш, які його види бувають та, основне — як знайти performance bottleneck?
Відео та деталі заходу: https://bit.ly/45tILxj
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).
AppSec PNW: Android and iOS Application Security with MobSF
Mobile Security Framework - MobSF is a free and open source automated mobile application security testing environment designed to help security engineers, researchers, developers, and penetration testers to identify security vulnerabilities, malicious behaviours and privacy concerns in mobile applications using static and dynamic analysis. It supports all the popular mobile application binaries and source code formats built for Android and iOS devices. In addition to automated security assessment, it also offers an interactive testing environment to build and execute scenario based test/fuzz cases against the application.
This talk covers:
Using MobSF for static analysis of mobile applications.
Interactive dynamic security assessment of Android and iOS applications.
Solving Mobile app CTF challenges.
Reverse engineering and runtime analysis of Mobile malware.
How to shift left and integrate MobSF/mobsfscan SAST and DAST in your build pipeline.
GraphRAG for LifeSciences Hands-On with the Clinical Knowledge Graph
Tomaz Bratanic
Graph ML and GenAI Expert - Neo4j
"Frontline Battles with DDoS: Best practices and Lessons Learned", Igor Ivaniuk
At this talk we will discuss DDoS protection tools and best practices, discuss network architectures and what AWS has to offer. Also, we will look into one of the largest DDoS attacks on Ukrainian infrastructure that happened in February 2022. We'll see, what techniques helped to keep the web resources available for Ukrainians and how AWS improved DDoS protection for all customers based on Ukraine experience
LF Energy Webinar: Carbon Data Specifications: Mechanisms to Improve Data Acc...
This LF Energy webinar took place June 20, 2024. It featured:
-Alex Thornton, LF Energy
-Hallie Cramer, Google
-Daniel Roesler, UtilityAPI
-Henry Richardson, WattTime
In response to the urgency and scale required to effectively address climate change, open source solutions offer significant potential for driving innovation and progress. Currently, there is a growing demand for standardization and interoperability in energy data and modeling. Open source standards and specifications within the energy sector can also alleviate challenges associated with data fragmentation, transparency, and accessibility. At the same time, it is crucial to consider privacy and security concerns throughout the development of open source platforms.
This webinar will delve into the motivations behind establishing LF Energy’s Carbon Data Specification Consortium. It will provide an overview of the draft specifications and the ongoing progress made by the respective working groups.
Three primary specifications will be discussed:
-Discovery and client registration, emphasizing transparent processes and secure and private access
-Customer data, centering around customer tariffs, bills, energy usage, and full consumption disclosure
-Power systems data, focusing on grid data, inclusive of transmission and distribution networks, generation, intergrid power flows, and market settlement data
Getting the Most Out of ScyllaDB Monitoring: ShareChat's Tips
ScyllaDB monitoring provides a lot of useful information. But sometimes it’s not easy to find the root of the problem if something is wrong or even estimate the remaining capacity by the load on the cluster. This talk shares our team's practical tips on: 1) How to find the root of the problem by metrics if ScyllaDB is slow 2) How to interpret the load and plan capacity for the future 3) Compaction strategies and how to choose the right one 4) Important metrics which aren’t available in the default monitoring setup.
Harnessing the Power of NLP and Knowledge Graphs for Opioid Research
Gursev Pirge, PhD
Senior Data Scientist - JohnSnowLabs
Must Know Postgres Extension for DBA and Developer during Migration
Mydbops Opensource Database Meetup 16
Topic: Must-Know PostgreSQL Extensions for Developers and DBAs During Migration
Speaker: Deepak Mahto, Founder of DataCloudGaze Consulting
Date & Time: 8th June | 10 AM - 1 PM IST
Venue: Bangalore International Centre, Bangalore
Abstract: Discover how PostgreSQL extensions can be your secret weapon! This talk explores how key extensions enhance database capabilities and streamline the migration process for users moving from other relational databases like Oracle.
Key Takeaways:
* Learn about crucial extensions like oracle_fdw, pgtt, and pg_audit that ease migration complexities.
* Gain valuable strategies for implementing these extensions in PostgreSQL to achieve license freedom.
* Discover how these key extensions can empower both developers and DBAs during the migration process.
* Don't miss this chance to gain practical knowledge from an industry expert and stay updated on the latest open-source database trends.
Mydbops Managed Services specializes in taking the pain out of database management while optimizing performance. Since 2015, we have been providing top-notch support and assistance for the top three open-source databases: MySQL, MongoDB, and PostgreSQL.
Our team offers a wide range of services, including assistance, support, consulting, 24/7 operations, and expertise in all relevant technologies. We help organizations improve their database's performance, scalability, efficiency, and availability.
Contact us: info@mydbops.com
Visit: https://www.mydbops.com/
Follow us on LinkedIn: https://in.linkedin.com/company/mydbops
For more details and updates, please follow up the below links.
Meetup Page : https://www.meetup.com/mydbops-databa...
Twitter: https://twitter.com/mydbopsofficial
Blogs: https://www.mydbops.com/blog/
Facebook(Meta): https://www.facebook.com/mydbops/
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.
Principle of conventional tomography-Bibash Shahi ppt..pptx
before the computed tomography, it had been widely used.
Essentials of Automations: Exploring Attributes & Automation Parameters
Building automations in FME Flow can save time, money, and help businesses scale by eliminating data silos and providing data to stakeholders in real-time. One essential component to orchestrating complex automations is the use of attributes & automation parameters (both formerly known as “keys”). In fact, it’s unlikely you’ll ever build an Automation without using these components, but what exactly are they?
Attributes & automation parameters enable the automation author to pass data values from one automation component to the next. During this webinar, our FME Flow Specialists will cover leveraging the three types of these output attributes & parameters in FME Flow: Event, Custom, and Automation. As a bonus, they’ll also be making use of the Split-Merge Block functionality.
You’ll leave this webinar with a better understanding of how to maximize the potential of automations by making use of attributes & automation parameters, with the ultimate goal of setting your enterprise integration workflows up on autopilot.
AWS Certified Solutions Architect Associate (SAA-C03)
AWS Certified Solutions Architect Associate (SAA-C03)
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectors
Join us to learn how UiPath Apps can directly and easily interact with prebuilt connectors via Integration Service--including Salesforce, ServiceNow, Open GenAI, and more.
The best part is you can achieve this without building a custom workflow! Say goodbye to the hassle of using separate automations to call APIs. By seamlessly integrating within App Studio, you can now easily streamline your workflow, while gaining direct access to our Connector Catalog of popular applications.
We’ll discuss and demo the benefits of UiPath Apps and connectors including:
Creating a compelling user experience for any software, without the limitations of APIs.
Accelerating the app creation process, saving time and effort
Enjoying high-performance CRUD (create, read, update, delete) operations, for
seamless data management.
Speakers:
Russell Alfeche, Technology Leader, RPA at qBotic and UiPath MVP
Charlie Greenberg, host
Mutation Testing for Task-Oriented Chatbots
Conversational agents, or chatbots, are increasingly used to access all sorts of services using natural language. While open-domain chatbots - like ChatGPT - can converse on any topic, task-oriented chatbots - the focus of this paper - are designed for specific tasks, like booking a flight, obtaining customer support, or setting an appointment. Like any other software, task-oriented chatbots need to be properly tested, usually by defining and executing test scenarios (i.e., sequences of user-chatbot interactions). However, there is currently a lack of methods to quantify the completeness and strength of such test scenarios, which can lead to low-quality tests, and hence to buggy chatbots.
To fill this gap, we propose adapting mutation testing (MuT) for task-oriented chatbots. To this end, we introduce a set of mutation operators that emulate faults in chatbot designs, an architecture that enables MuT on chatbots built using heterogeneous technologies, and a practical realisation as an Eclipse plugin. Moreover, we evaluate the applicability, effectiveness and efficiency of our approach on open-source chatbots, with promising results.
Leveraging the Graph for Clinical Trials and Standards
Katja Glaß
OpenStudyBuilder Community Manager - Katja Glaß Consulting
Marius Conjeaud
Principal Consultant - Neo4j
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GlobalLogic Java Community Webinar #18 “How to Improve Web Application Perfor...
Dandelion Hashtable: beyond billion requests per second on a commodity server
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LF Energy Webinar: Carbon Data Specifications: Mechanisms to Improve Data Acc...
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Getting the Most Out of ScyllaDB Monitoring: ShareChat's Tips
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Harnessing the Power of NLP and Knowledge Graphs for Opioid Research
Harnessing the Power of NLP and Knowledge Graphs for Opioid Research
Must Know Postgres Extension for DBA and Developer during Migration
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From Natural Language to Structured Solr Queries using LLMs
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Principle of conventional tomography-Bibash Shahi ppt..pptx
Principle of conventional tomography-Bibash Shahi ppt..pptx
Essentials of Automations: Exploring Attributes & Automation Parameters
Essentials of Automations: Exploring Attributes & Automation Parameters
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Cake - An Ethereum Powered Social Network Aggregator
- 1. Cake – So What’s the Problem? 1. I have 5 social network apps I had to install and update 2. That means I have 5+ usernames and passwords to manage if I use the websites instead of the apps 3. All my social info is siloed, if I want to see everything my friend is up to I need to login to 5 apps 4. I want to be able to read my updates and my watch videos anytime I want even if I don’t have a connection… • I just want to push a button and get all my updates!
- 2. Cake “Press a Button and get all your social media updates…” Andy Atkin (andrew.atkin@gmail.com)
- 3. Cake – How it’s Made
- 4. Alice – A Person who likes Cake 1. I use an inexpensive Android smartphone over intermittent 3G and I like public Wi-Fi 2. I care most about sharing and communicating my friends 3. I like convenience, speed and ease of use 4. I use apps in Mandarin, Spanish, English, Hindi or Arabic 5. I prefer watching and sharing video online to reading 6. I already use social media to chat, keep in touch with friends, get updates and share media 7. I’d like to make some money in social media, but on my own terms 8. I’d like some say in how the app is developed
- 5. Alice Won’t… 1. I won’t use another social app unless it’s better than Facebook & WeChat 2. I won’t re-enter all my posts on a new network 3. I won’t pay to install an app or to post content 4. I don’t want to be stalked, trolled or spammed/harassed 5. I don’t like watching ads 6. I don’t really want to install and update yet another app 7. I don’t really know or care about internet decentralization 8. I don’t really know or care about self-sovereign identity 9. I’m more interested that the app works than whether it complies with technology standards
- 6. Bob – Thinks about running a Node (Bakery?)… 1. I want to make money running a node 2. I want a node which is as easy to administer as a Minecraft server 3. I want to have multiple hosting options for my node 4. I’d like a modular system where I can run the services I’m interested in 5. I don’t want my node to be a honeypot or targeted by malicious hackers or law enforcement
- 7. Mark from the Social Network – Thinks about supplying API access to a Node… 1. I want to make money on API calls but not get swamped by unnecessary and unprofitable traffic 2. I’m willing to pay to be able to serve targeted ads to the users of my competitor’s apps 3. I’m willing to pay for survey information from my users and my competitor’s user’s apps 4. I’m willing to pay for enhanced demographic, transaction and other social media user data 5. I don’t want to lose engagement on my own platform 6. I don’t want to lose ad revenue
- 8. Cake – The Social Network Landscape • The war for user data has already been won, so “if you can’t beat ’em join ‘em”* • Focus on partnering with the Top 5 by user count: • Network is intermittent and bandwidth is the most precious resource • People are most comfortable transacting in their local currency “Top 5 by user count – Go!” Language Mandarin Spanish English Hindi Arabic Social Network Facebook Youtube Instagram Twitter Reddit Social App WhatsApp Messenger QQ Chat WeChat QZone
- 9. Cake – What is it? A: Still a half-baked idea • A Social Network Aggregator powered by Ethereum – Similar to Friendfeed • A Web App accessible by URL, runs in the browser • Connects to Top 5 Social Networks & Top 5 Social App Available in 5 Languages • Mobile First / Offline First • Zero install (it’s a URL, no browser extensions required) – First run creates phone icon and ID • Widest possible onboarding ramp/funnel • Can stream media (WebRTC/WebTorrent/IPFS) • Fully Federated using community “no-knowledge” Nodes (Bakeries) – Private keys do not leave the browser • Uses Self-Sovereign Identity – uPort or an app free browser based analog • Optionally Ad-free • Alice can be paid to watch ads, fill out surveys or release information • Alice can earn tips for content • Payments can be made in ERC20 compliant ethereum tokens pegged to local currencies • App Governed as part of an international multi-stakeholder platform Co-op • Free and Open Source (of course!)
- 10. Cake – So What’s so Different? Sneaking Decentralization & Self-Sovereign Identity through the back door • The focus is User Experience but the following principles Ulysses Pacts: • Alice owns her own data • Alice’s identity is self-sovereign • Alice’s private keys never leave her device (browser) • Alice can monetize her own data • Alice can be paid for her survey info and can earn tips • No plaintext data is ever stored on nodes • Anyone who can run a Minecraft server can run a node • The organization is run as an international platform co-op which will not sell out/demutualize • Code is to remain Free & Open Source
- 11. Cake – Come Get Some! Questions? Andy Atkin (andrew.atkin@gmail.com