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🌘 使用 WebAssembly 提升 HTML5 遊戲效能
➤ 透過 WebAssembly 解鎖 HTML5 遊戲的效能潛力
playgama.com/blog/general/boos
本文探討如何運用 WebAssembly (WASM) 技術來優化 HTML5 遊戲效能。HTML5 遊戲在處理複雜運算、記憶體管理和資源加載時常面臨瓶頸,而 WASM 透過提供接近原生執行速度、更高效的記憶體操作和跨平臺一致性,有效解決了這些問題。文章詳細介紹了將 WASM 整合至 HTML5 遊戲的步驟,並提供了最佳實踐建議,以實現效能的顯著提升,特別是在行動裝置上。
+ 這篇文章對想提升 HTML5 遊戲效能的開發者來說非常有幫助,提供了清晰的步驟和實用建議。
+ 瞭解 WASM 與 HTML5 的協同作用,以及如何在實際遊戲開發中應用,讓我對 Web 遊戲的未來充滿期待。
#遊戲開發 #WebAssembly #HTML5

Playgama Blog · Boost HTML5 Game Performance with WebAssembly - Playgama BlogTable of ContentsExploring the Intersection of HTML5 and WebAssemblyAssessing Current Performance Bottlenecks in HTML5 GamesHarnessing the Power of WebAssembly for Game OptimizationStep-by-Step Guide: Integrating WebAssembly into HTML5 GamesStep 1: Identify and Isolate Performance-Critical CodeStep 2: Choose a WebAssembly Development ApproachStep 3: Set Up Your Development EnvironmentStep 4: Implement and Compile […]

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#webdesign #HTML5 #CSS3 #template #plugins #themes #WordPress #onepage #medical #responsive #retina #website #clinic #health #medic #clinical

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I'm looking at the <time> HTML element and I'm confused about the datetime attribute.

I have a definite start, and a duration. What should I put in the datetime attribute? According to the MDN page, I can put a timestamp OR a duration, but not both...

Here's an example:

<span>Concert ran from <time datetime="2024-06-15T20:00-0500" title="2024-06-16T01:00+00">8 to 11 pm, Jun 15th 2024</time></span>

developer.mozilla.org/en-US/do

Thoughts? #lazyweb #html5 #semantichtml

The MDN Web Docs logo, featuring a blue accent color, displayed on a solid black background.
MDN Web Docs<time>: The (Date) Time element - HTML | MDNThe <time> HTML element represents a specific period in time. It may include the datetime attribute to translate dates into machine-readable format, allowing for better search engine results or custom features such as reminders.
Continued thread

this paper cites one of my favorite publications. a first-authored paper which presented some of my work in Stanford's Radiology department.

to our knowledge, i built the world's 1st clinically-suited search engine for biomedical images (think: DICOM server) that could be searched using structured metadata provided by the radiologists reading the CT or MRI images, using open-source standards. #Ruby #RoR #REST #HTML5

link.springer.com/article/10.1

SpringerLinkManaging Biomedical Image Metadata for Search and Retrieval of Similar Images - Journal of Imaging Informatics in MedicineRadiology images are generally disconnected from the metadata describing their contents, such as imaging observations (“semantic” metadata), which are usually described in text reports that are not directly linked to the images. We developed a system, the Biomedical Image Metadata Manager (BIMM) to (1) address the problem of managing biomedical image metadata and (2) facilitate the retrieval of similar images using semantic feature metadata. Our approach allows radiologists, researchers, and students to take advantage of the vast and growing repositories of medical image data by explicitly linking images to their associated metadata in a relational database that is globally accessible through a Web application. BIMM receives input in the form of standard-based metadata files using Web service and parses and stores the metadata in a relational database allowing efficient data query and maintenance capabilities. Upon querying BIMM for images, 2D regions of interest (ROIs) stored as metadata are automatically rendered onto preview images included in search results. The system’s “match observations” function retrieves images with similar ROIs based on specific semantic features describing imaging observation characteristics (IOCs). We demonstrate that the system, using IOCs alone, can accurately retrieve images with diagnoses matching the query images, and we evaluate its performance on a set of annotated liver lesion images. BIMM has several potential applications, e.g., computer-aided detection and diagnosis, content-based image retrieval, automating medical analysis protocols, and gathering population statistics like disease prevalences. The system provides a framework for decision support systems, potentially improving their diagnostic accuracy and selection of appropriate therapies.

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