Author: Admin

When programming in Javascript there are times when you might want to know if there were any parameters passed through the URL. In case you aren’t familiar with URL parameters, they are the arguments set after the base URL and the ‘?’. For example let’s look at the below example:https://www.josephamaurer.com/Projects/DevAPI/RecentDevPosts.html?PerPage=100?PerPage=100 is the first parameter that is passed with this URL. It’s up to your javascript logic to grab this parameter’s value and use it appropriately. So can there be multiple parameters? You betcha! Additional parameters are added with the following syntax:https://www.josephamaurer.com/Projects/DevAPI/RecentDevPosts.html?PerPage=100&Page=2‘&Page=2’ is the second parameter that is with this URL. At…

Geyer, R. in Plastic Waste and Recycling (ed. Letcher, T. M.) 13–32 (Academic, 2020).Xu, Z. et al. Chemical upcycling of polyethylene, polypropylene, and mixtures to high-value surfactants. Science 381, 666–671 (2023).Article  CAS  PubMed  Google Scholar  Plastics – The Fast Facts 2024 (Plastics Europe, 2024); https://plasticseurope.org/knowledge-hub/plastics-the-fast-facts-2024Celik, G. et al. Upcycling single-use polyethylene into high-quality liquid products. ACS Cent. Sci. 5, 1795–1803 (2019).Article  CAS  PubMed  PubMed Central  Google Scholar  Vogt, E. T. C. & Weckhuysen, B. M. The refinery of the future. Nature 629, 295–306 (2024).Article  CAS  PubMed  Google Scholar  World Energy & Climate Statistics – Yearbook 2025 (Enerdata, 2025); https://yearbook.enerdata.net.htmlDu, J.…

Guest post by Michael Kilarney Co-Founder Genghis AI The 2023 idea of “tax AI” is already archaic. A faster search box is not the future of tax advisory. Finding legislation faster is useful. Finding guidance faster is useful. Finding case law faster is useful. But it is not the prize. The prize is completing complex tax technical work from end to end – with sources, structure, reasoning and professional review built into the process. That is what Genghis AI is building. Genghis AI is an Irish-built artificial intelligence platform for tax professionals, accountants and advisory firms. It is not trying…

Welcome back to TechCrunch Mobility, your hub for the future of transportation and now, more than ever, how AI is playing a part. To get this in your inbox, sign up here for free — just click TechCrunch Mobility! I am back from vacation. What did I miss? Turns out, quite a lot — including the end of the Uber-Waymo partnership in Phoenix. Uber and Waymo still have robotaxi service partnerships in Atlanta and Austin. The question is not if, but when will these agreements end? But that isn’t the most intriguing question, in my opinion. I am far more…

In this article, you will learn how to choose the right memory strategy for an AI agent by working through a simple decision tree, one category of information at a time. Topics we will cover include: The four types of agent memory — working, semantic, episodic, and procedural — and what each one assumes about the information it holds. A five-question decision tree that classifies what a given category of information actually needs, and how those answers combine into a full memory architecture. The common pitfalls that show up once agent memory is implemented, and how to fix them. Let’s…

Most real-world classification problems are imbalanced. Fraud, disease, churn, and defects are rare by nature. Standard classifiers chase accuracy, so they quietly ignore the very class you care about. For years, SMOTE was the reflex fix that everyone reached for first. But SMOTE often fails on the messy, high-dimensional data that production systems actually see. This guide goes beyond SMOTE. You will learn cost-sensitive learning, modern loss functions, balanced ensembles, anomaly detection, and the metrics that expose what really works. What Is Class Imbalance? Class imbalance describes a skewed distribution between the target classes you want to predict. The smaller…

The jscrambler npm package was compromised, and simply installing its 8.14.0 release runs an infostealer on your machine. Published on July 11, 2026, the malicious version carries a preinstall hook that drops and executes a native binary, one build each for Windows, macOS, and Linux. Socket flagged the release six minutes after it was published. If you or one of your build systems pulled it in that window, the payload has already run with whatever access your install process had. None of this is in the prior release, 8.13.0. The package diff shows two new files under dist/: setup.js, a small loader, and intro.js. Despite the name, intro.js is not JavaScript but a roughly…

VANCOUVER — Evan Pivnick, associate director of public affairs at Clean Energy Canada, made the following statement in response to the federal government’s announced support for key interprovincial transmission projects and the implementation of a Federal-Provincial-Territorial Framework on Interties:“There are few electricity projects that will play a bigger role in achieving the government’s goal of doubling Canada’s electricity system than expanding the transmission links, or interties, between provinces. Today’s announcement of new financial and regulatory support for a suite of transmission projects across the country alongside a much-needed Federal-Provincial-Territorial Framework on Interties moves Canada meaningfully in the right direction.“Interprovincal transmission…

This looks like a SwiftUI bug rather than an issue with your transition. HStack {} is not a no-op inside a ViewModifier. Since body uses @ViewBuilder, adding it changes the generated view hierarchy. Without it, the modifier returns a single modified view; with it, SwiftUI creates a different container type (TupleView internally). Even though both versions render the same, SwiftUI’s diffing and transition system is sensitive to view structure. In this case, the different hierarchy appears to change an internal optimization path. The clue is the behavior: That suggests SwiftUI removes the live view too early while still animating its…

Stratasys, a provider of industrial 3D printing solutions serving various industries, including aerospace, automotive, healthcare, and consumer goods, partnered with AWS to build the GrabCAD IoT Platform, a cloud-connected digital backbone that turns fragmented operational data into actionable insights. Stratasys customers operating industrial 3D printer fleets across multiple sites encounter four critical operational barriers: fragmented data collection, limited visibility for proactive support, complex OT/IT security and connectivity requirements, and limited enterprise system connectivity. Using AWS IoT Core and AWS IoT Greengrass as its backbone, the platform allows Stratasys customers to monitor printer health, optimize equipment effectiveness, and prepare for a…