标签：#Power

Fusion power startup Avalanche Energy said its reactor prototype heated a plasma to over 10 million degrees C.

Five peer-reviewed papers update the design and model its expected output.

How SCPN Phase Orchestrator v0.8.0 turns Kuramoto dynamics into a domain-agnostic control compiler, why we verify math across five languages, and the honest truth about building a Boeing 747 when most people need a bicycle. The $5.2 Billion Blackout That Started This On August 14, 2003, a cascading failure in the US Northeast power grid left 55 million people without electricity. The final report cited something deceptively simple: synchrony loss . A generation unit in Ohio drifted out of phase. The protective relays, designed to prevent damage, tripped in sequence. One desynchronized oscillator triggered a cascade that propagated across 265 power plants in nine minutes. The grid had controllers. It had models. What it lacked was a shared, reviewable language for coherence — a way to ask, in real time: "Is this synchrony valuable or dangerous? And if I touch this knob, can I prove what will happen before the electrons move?" That question is why I built SCPN Phase Orchestrator . It is not a Kuramoto simulator. It is a coherence control compiler — a system that takes any cyclic process (power waves, cloud retries, neural spikes, traffic signals) and compiles it into a unified phase space where synchrony can be observed, classified, and modified with bounded, auditable, replayable actions. Version 0.8.0 just shipped. It includes something I have not seen in any other open-source oscillator library: cross-language mathematical parity verification and Lean proof obligations for safety-critical control chains. This post is the honest story of why we built it, how it works, and where we might have gone too far. The Fragmentation Problem If you work on synchrony in 2026, you live in silos. Power engineers use PSS/E or PowerFactory with swing-equation models. Cloud operators use Airflow, Kestra, or Temporal for workflow orchestration — none of which understand phase dynamics. Neuroscientists use FieldTrip or MNE-Python for EEG phase analysis, but the tools stop at visualiza

Whenever I heard about harmonics, I thought they were only related to large substations, transmission systems, and industrial facilities. I assumed harmonics were something utility engineers dealt with and not something connected to everyday devices. Phone chargers can create harmonics. Laptop chargers can create harmonics. LED lights can create harmonics. Even a UPS sitting under a desk can create harmonics. Today, modern power systems use many power electronic devices such as EV chargers, solar inverters, battery energy storage systems (BESS), UPS systems, data centers, and Variable Frequency Drives (VFDs). While these technologies bring many benefits, they can also introduce harmonic distortion. The more power electronic devices we connect to the grid, the more important harmonic analysis becomes. In this article, I will explain what harmonics are, what causes them, how they affect power quality, how they can be analyzed using PSCAD, and why they are becoming more important in modern power systems. Before we talk about harmonics, let's first understand electrical loads, because this is where harmonics usually begin. What Is an Electrical Load? An electrical load is any device that uses electrical energy to perform useful work. For example, think about a typical evening at home. You turn on a ceiling fan, LED light, laptop, air conditioner, and phone charger. All of these devices use electricity, so they are called electrical loads. Examples of electrical loads include motors, heaters, fans, computers, air conditioners, lighting systems, and EV chargers. However, not all electrical loads use electricity in the same way. Some draw current smoothly, while others draw current in short pulses. This small difference is actually where the story of harmonics begins. Linear vs Non-Linear Loads To understand harmonics, we first need to understand the difference between linear and non-linear loads. Although both types of loads consume electricity, they draw current from the

(yes, its open source. link at the bottom, if u want to skip ahead!) Most "debloat scripts" are a pile of registry edits you run as admin and pray. No preview, no undo, and half of them happily disable Safe Browsing or updates for "performance." For your browser, the most security-sensitive app you run, that's reckless. So I built BraveDebloater with one rule: never make Brave less safe. It clears out the noise like Rewards, Wallet, VPN nags, Leo AI prompts, News, and telemetry such as P3A, Web Discovery, and Chromium metrics. But it flat-out refuses to disable Shields, weaken Safe Browsing, turn off updates, or touch your hosts file. That isn't a README promise. It's enforced in the tool itself. A few things that make it trustworthy: Dry-run by default. Nothing changes until you explicitly apply. Official Brave/Chromium enterprise policies, so every change is visible and auditable in brave://policy instead of hidden. Automatic backups before any change, written safely so you never end up with a corrupted file. Validated restore that checks the backup before writing anything and only touches Brave's own policy and profile files. Doctor mode, a read-only health check of your current policy state with no writes. It's MIT-licensed, PowerShell 5.1 compatible, and has a few beginner-friendly issues open. If you care about privacy or Windows tooling, I'd love a star and a PR. Check it out at: https://github.com/osfv/BraveDebloater

Fusion startup Xcimer fired up the world's largest privately owned laser.

Another fusion startup has raised another a massive round to make this type of power a reality.

Pacific Fusion's sub-scale prototype delivered enormous amounts of power in a flash, setting the company up for its demonstration power plant.

A Power BI financial dashboard for healthcare finance teams connects EHR billing exports, the general ledger, and payer contract tables into a unified model, then applies row-level security so each cost-center owner sees only their data. A well-structured build takes four to six weeks and gives CFOs, finance directors, and department heads real-time visibility into revenue cycle performance, operating margin, and budget variance. Key Takeaways Connect EHR billing data, your GL, and payer contract tables through Power Query dataflows before building any visuals. Five essential views: revenue cycle summary, operating expense by department, budget variance heat map, payer mix analysis, and 90-day cash flow runway. Row-level security (RLS) scopes each department head's view to their own cost-center data without requiring separate reports. Scheduled dataset refreshes and Power Automate flows cut monthly reporting cycle time from days to hours. HIPAA alignment requires sensitivity labels, private links, and audit logging in addition to RLS - security roles alone are not sufficient. What Makes Healthcare Financial Dashboards Different from Standard Finance Dashboards? Healthcare finance operates under constraints that most corporate FP&A teams never encounter. Payer mix directly affects recognized revenue. Cost centers map to clinical departments spanning multiple facilities. And every data movement may touch protected health information (PHI) , which means the data architecture must satisfy HIPAA even when the dashboard itself shows only aggregated financial figures. According to Market Research Future (2025), the Healthcare Financial Analytics Market is projected to grow at an 8.58% CAGR from 2025 to 2035 , driven by value-based care adoption, regulatory changes, and demand for real-time decision support. Most healthcare organizations still export Excel files from their EHR and reconcile them manually against the general ledger. Power BI closes that gap - but only if the

When you build a PowerApps Component Framework (PCF) component that will be used across multiple geographies, need to serve labels, button captions, validation messages, and tooltips in the user's preferred language. PCF has a built-in answer based on .resx resource files, the same format used by .NET applications. The mechanism is elegant in production — but surprisingly tricky during local development. This walkthrough takes you through the full setup, step by step, and then explains a problem that arises while locally debugging your PCF. Step 1 — Create the strings folder and your first .resx file PCF expects your localized strings to live in a folder (the conventional name is strings ) inside your component directory. Each language gets its own file, named with the pattern: <ComponentName>.<LCID>.resx The <LCID> part is the numeric Locale ID , not the textual code ( en-US , it-IT ). The framework relies on this naming convention to identify which file to load for a given user. Common LCIDs: Language LCID English (en-US) 1033 Italian (it-IT) 1040 German (de-DE) 1031 French (fr-FR) 1036 Spanish (es-ES) 3082 Japanese (ja-JP) 1041 Chinese Simplified (zh-CN) 2052 Portuguese (pt-BR) 1046 For a component called EquipmentGrid , the structure looks like this: EquipmentGrid/ ├── ControlManifest.Input.xml ├── index.ts └── strings/ ├── EquipmentGrid.1033.resx ├── EquipmentGrid.1040.resx └── EquipmentGrid.1031.resx Tip: Always include 1033.resx (English). The PCF runtime falls back to the first <resx> declared in the manifest when the user's preferred language isn't available, and English is the safest default. Step 2 — Author the resource file content A .resx file is just XML. Here's a minimal Italian version ( EquipmentGrid.1040.resx ): <?xml version="1.0" encoding="utf-8"?> <root> <resheader name= "resmimetype" > <value> text/microsoft-resx </value> </resheader> <resheader name= "version" > <value> 2.0 </value> </resheader> <resheader name= "reader" > <value> System.Resou

Thea Energy's pixel-inspired magnets could give its power plant plans a boost. The fusion startup hopes to get a commercial reactor working by 2034.