Zac Bowling’s Post

Hi i am starting with new project Interplanetum. I want to make interplanet simulation of communication and as GUI i will use React + Django here is the link:

📣 I am excited to announce the launch of the public review for the first set of #ontologies developed within the MAREGRAPH project!  These ontologies aim to represent the rich data offered by the World Register of #Marine #Species (WoRMS) system in a standardized and machine-readable format. I encourage all interested parties to participate in this review; also, feel free to share it with your colleagues who you think might be willing to provide feedback. In the project, we have set up an issue template for the "assets" repository of the MAREGRAPH GitHub - https://lnkd.in/dNsUJnBp You can use this template to submit specific issues you encounter with the ontologies. In the template of the issue, there is also a reference to the corresponding deliverable where some motivations for design choices are reported - https://lnkd.in/ddRpZK5T The public review period will be open until the 30th of June, starting from today. We encourage you to submit your contributions as soon as possible to ensure they are considered during the finalization process. Looking forward to your feedback! #semantics #semanticinteroperability #knowledgegraph #linkedopendata #opendata #interoperability #linkeddata #ontology #controlledvocabulary VLIZ - Flanders Marine Institute STLab - Semantic Technology Laboratory - CNR ISTC-CNR Alessandro Russo Lennert Tyberghein Joanna Goley Marc Portier Pieter Colpaert Julián Rojas Simon Claus Liesbeth Van der Haegen Annelies De Craene

🚀 Dive deep into the world of EfficientNet with my latest GitHub project! I've not only implemented EfficientNet in PyTorch but also enriched it with insights from the official research paper, ensuring a comprehensive understanding. 💡I tackled an image classification challenge from DrivenData! 🔗 Explore the code here: https://lnkd.in/dUec7zwH #EfficientNet #github #Deeplearning #imageclassification #letsgodeep #Drivendata

"In the tech industry, so much is about the hype. Everybody is following everybody else like lemmings off a cliff, trying to chase the next big thing, and I don't think that's a successful strategy. I think you need to find something that isn't what everybody else does and excel at that and be the first to do something slightly different." Linus Torvalds https://lnkd.in/dcQysh78 #hype #lemmings #techindustry #thenextbigthing Btw. I find the last really big thing was the asteroid that killed the dinosaurs ;-)

🚀 Exciting news! Introducing the Git Ontology Status Checker! 🌐 ... long time no see! We're excited to announce the launch of the Git Ontology Status Checker, a powerful service designed to track the timeliness of ontologies in the terminology service! This tool continuously monitors the timeliness of public ontologies on GitHub and GitLab and checks if there have been any updates since the last release on the terminology service. This is how it works: ✅ If current: Confirms that the latest version is available on the platform. 🔄 If outdated: Shows the exact number of pending commits to make the latest content live. With the Git Ontology Status Checker, teams can now be effortlessly notified of ontology updates. This is a contribution provided by the NFDI4Energy project. Created by Nilesh Chavada from TIB – Leibniz-Informationszentrum Technik und Naturwissenschaften und Universitätsbibliothek #Ontology #GitHub #GitLab #TerminologyService #DataManagement #NFDI4Energy

You can teach yourself Google Earth Engine in one afternoon! I am currently doing mini research for coursework, and we’re looking at the development case of Golden Triangle SEZ in Lao PDR. While my research is still in work, I want to share a tool I learned to create exciting maps that can help build my argument in the final deliverables (more on that coming soon, I hope). For this, I have been interested in using Landsat Satellite Imagery but felt that somehow, USGS’ EarthExplorer is not really user-friendly. I tried browsing some alternatives and found that I can also retrieve the Landsat satellite images and download them from Google Earth Engine. So, on a Tuesday afternoon during last spring break, I sat for a couple of hours trying to familiarize myself with the tool. I got so much help from watching Ramadhan - ‘s tutorial on YouTube (super big thanks for sharing to the community!) and practically just played around with the environment. In my experience, the process does feel easier with Google Earth Engine, and I could really get a clear image with the specific extent that I want. Free resources are available everywhere on the internet, and YouTube videos can really help with our work. Kudos to all the creators sharing their knowledge in this space! This is the video created by Ramadhan that helped me learn Google Earth Engine: https://lnkd.in/g-Xam6vA Also, sharing this writing along with more notes as well as the code that I wrote (so you can use it for your project later) in Medium: https://lnkd.in/gMRz7J9G Note: Landsat 8 Collection 2 Tier 1 TOA Reflectance and Landsat 5 TM Collection 2 Tier 1 TOA Reflectance images courtesy of the U.S. Geological Survey.

🚀 Exploring the Solar System with Rust: Day 81-83 of #100daysofcode Over the past three days, I've been juggling my exam preparations and my commitment to coding. Despite the time constraints, I managed to solve an intriguing problem from Exercism: calculating a person's age on different planets in our solar system, using Rust. 🌌 Here's a brief overview of the code: 1️⃣ Structs: I created structs for each planet - Mercury, Venus, Earth, Mars, Jupiter, Saturn, Uranus, and Neptune. 2️⃣ Trait: I defined a trait, `Planet`, which includes two methods - `period` and `years_during`. The `period` method returns the orbital period of a planet in Earth years, and `years_during` calculates the age on the planet based on the duration in seconds. 3️⃣ Method Implementations: I implemented the `period` method for each planet, using the respective orbital period in Earth years. 4️⃣ Main Function: In the main function, I accept the user's age, convert it to seconds, and calculate the age on each planet using the `years_during` method. This exercise allowed me to delve deeper into Rust's powerful features like structs, traits, and method implementations. It was a challenging yet rewarding experience, especially given the time management skills I had to employ due to my ongoing exams. 📚⏰ Here is the link to my code:- [] It took me three days, but the satisfaction of solving the problem and learning more about Rust was well worth the effort. Remember, it's not about how much time you have, it's about making the most of it! 💪 #rustlang #Exercism #CodingChallenge

If you are on a ship, and look out at the horizon with nothing but water in your view... You are looking at what Earth looked like before life, during life and will after life; all at the same time. You are there in that moment. Past, present, and future. Since I have had that experience, that means I am with you at the same time. Past, present, future. We are one in that moment; but a moment isn't time. It's space. As space gets bigger it takes time away, and as time passes by the heart grows fonder...for that moment back...which I know will come again at that one moment. https://lnkd.in/eE2qCfsp

🚀 𝗖𝗮𝗹𝗹 𝗳𝗼𝗿 𝗰𝗼𝗻𝘁𝗿𝗶𝗯𝘂𝘁𝗶𝗼𝗻𝘀 𝗳𝗿𝗼𝗺 𝘁𝗵𝗲 𝘀𝗽𝗮𝗰𝗲 𝗰𝗼𝗺𝗺𝘂𝗻𝗶𝘁𝘆! 🌍 We invite you to take part in our Call for Papers by translating space news into publications with a legal, economic or geopolitical scope. 📄 𝗧𝗵𝗲 𝗮𝗶𝗺? To make space issues accessible and understandable in key areas, while linking the world of space with these crucial sectors. 𝗧𝗵𝗲 𝟯 𝗯𝗲𝘀𝘁 𝗽𝘂𝗯𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 will be published in the annual Cosmos Rangers magazine, as well as on the Cosmos for Humanity and The Collaborative Library websites! 🌟 🔑 𝗖𝗼𝗻𝗱𝗶𝘁𝗶𝗼𝗻𝘀: 𝗧𝗵𝗲 𝗽𝘂𝗯𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗺𝘂𝘀𝘁 𝗯𝗲 𝘄𝗿𝗶𝘁𝘁𝗲𝗻 𝗶𝗻 𝘁𝗲𝗿𝗺𝘀 𝗮𝗰𝗰𝗲𝘀𝘀𝗶𝗯𝗹𝗲 𝘁𝗼 𝗮𝗹𝗹. 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲: 𝗘𝗻𝗴𝗹𝗶𝘀𝗵, 𝗚𝗲𝗿𝗺𝗮𝗻, 𝗙𝗿𝗲𝗻𝗰𝗵, 𝗜𝘁𝗮𝗹𝗶𝗮𝗻 𝗼𝗿 𝗦𝗽𝗮𝗻𝗶𝘀𝗵 𝗠𝗮𝘅. 𝟯𝟬𝟬𝟬 𝘄𝗼𝗿𝗱𝘀 𝗗𝗲𝗮𝗱𝗹𝗶𝗻𝗲: 𝟬𝟭.𝟭𝟭.𝟮𝟬𝟮𝟰 💡 A unique opportunity to help popularize space science while developing innovative and inclusive perspectives. 📧 To take part, send your contributions to: [email protected] with subject line: 𝘛𝘳𝘢𝘯𝘴𝘭𝘢𝘵𝘦𝘴 𝘯𝘦𝘸𝘴 - 𝘧𝘪𝘳𝘴𝘵𝘯𝘢𝘮𝘦.𝘭𝘢𝘴𝘵𝘯𝘢𝘮𝘦. We look forward to hearing your ideas and publishing the most impactful contributions on our platforms! #CallForPapers #CosmosRangers #CollaborativeLibrary #Space #Legal #Economics #Geopolitics #SpaceSustainability #SpaceNews #Innovation #Vulgarization

What could we learn from speaking whale? 🐋 In a recently published research article, the world's first "conversation" with a whale was captured by a team of researchers off the coast of southeast Alaska. The team of six scientists played a recording of a humpback greeting call using an underwater speaker. 🔊 When they played the call, a whale, they named Twain, spoke back and engaged in a "conversation" that lasted 20 minutes. Whales are an indicator of the health of the ocean ecosystem. Learning more about them and their behaviour can help protect them and improve our understanding of how highly intelligent species communicate. 🌊 Read the full article here: https://lnkd.in/eu9tmMtn 👀