David's repositories
Android-Indefinite-Pager-Indicator
A lightweight, plug-and-play indefinite pager indicator for RecyclerViews & ViewPagers.
23333
草 我要被爆破叻
AndroidNote
安卓学习笔记
angular-realworld-example-app
Exemplary real world application built with Angular 5+
armors-solidity
Armors-solidity is a framework to build secure smart contracts on Ethereum.
Assemblies-of-putative-SARS-CoV2-spike-encoding-mRNA-sequences-for-vaccines-BNT-162b2-and-mRNA-1273
RNA vaccines have become a key tool in moving forward through the challenges raised both in the current pandemic and in numerous other public health and medical challenges. With the rollout of vaccines for COVID-19, these synthetic mRNAs have become broadly distributed RNA species in numerous human populations. Despite their ubiquity, sequences are not always available for such RNAs. Standard methods facilitate such sequencing. In this note, we provide experimental sequence information for the RNA components of the initial Moderna (https://pubmed.ncbi.nlm.nih.gov/32756549/) and Pfizer/BioNTech (https://pubmed.ncbi.nlm.nih.gov/33301246/) COVID-19 vaccines, allowing a working assembly of the former and a confirmation of previously reported sequence information for the latter RNA. Sharing of sequence information for broadly used therapeutics has the benefit of allowing any researchers or clinicians using sequencing approaches to rapidly identify such sequences as therapeutic-derived rather than host or infectious in origin. For this work, RNAs were obtained as discards from the small portions of vaccine doses that remained in vials after immunization; such portions would have been required to be otherwise discarded and were analyzed under FDA authorization for research use. To obtain the small amounts of RNA needed for characterization, vaccine remnants were phenol-chloroform extracted using TRIzol Reagent (Invitrogen), with intactness assessed by Agilent 2100 Bioanalyzer before and after extraction. Although our analysis mainly focused on RNAs obtained as soon as possible following discard, we also analyzed samples which had been refrigerated (~4 ℃) for up to 42 days with and without the addition of EDTA. Interestingly a substantial fraction of the RNA remained intact in these preparations. We note that the formulation of the vaccines includes numerous key chemical components which are quite possibly unstable under these conditions-- so these data certainly do not suggest that the vaccine as a biological agent is stable. But it is of interest that chemical stability of RNA itself is not sufficient to preclude eventual development of vaccines with a much less involved cold-chain storage and transportation. For further analysis, the initial RNAs were fragmented by heating to 94℃, primed with a random hexamer-tailed adaptor, amplified through a template-switch protocol (Takara SMARTerer Stranded RNA-seq kit), and sequenced using a MiSeq instrument (Illumina) with paired end 78-per end sequencing. As a reference material in specific assays, we included RNA of known concentration and sequence (from bacteriophage MS2). From these data, we obtained partial information on strandedness and a set of segments that could be used for assembly. This was particularly useful for the Moderna vaccine, for which the original vaccine RNA sequence was not available at the time our study was carried out. Contigs encoding full-length spikes were assembled from the Moderna and Pfizer datasets. The Pfizer/BioNTech data [Figure 1] verified the reported sequence for that vaccine (https://berthub.eu/articles/posts/reverse-engineering-source-code-of-the-biontech-pfizer-vaccine/), while the Moderna sequence [Figure 2] could not be checked against a published reference. RNA preparations lacking dsRNA are desirable in generating vaccine formulations as these will minimize an otherwise dramatic biological (and nonspecific) response that vertebrates have to double stranded character in RNA (https://www.nature.com/articles/nrd.2017.243). In the sequence data that we analyzed, we found that the vast majority of reads were from the expected sense strand. In addition, the minority of antisense reads appeared different from sense reads in lacking the characteristic extensions expected from the template switching protocol. Examining only the reads with an evident template switch (as an indicator for strand-of-origin), we observed that both vaccines overwhelmingly yielded sense reads (>99.99%). Independent sequencing assays and other experimental measurements are ongoing and will be needed to determine whether this template-switched sense read fraction in the SmarterSeq protocol indeed represents the actual dsRNA content in the original material. This work provides an initial assessment of two RNAs that are now a part of the human ecosystem and that are likely to appear in numerous other high throughput RNA-seq studies in which a fraction of the individuals may have previously been vaccinated. ProtoAcknowledgements: Thanks to our colleagues for help and suggestions (Nimit Jain, Emily Greenwald, Lamia Wahba, William Wang, Amisha Kumar, Sameer Sundrani, David Lipman, Bijoyita Roy). Figure 1: Spike-encoding contig assembled from BioNTech/Pfizer BNT-162b2 vaccine. Although the full coding region is included, the nature of the methodology used for sequencing and assembly is such that the assembled contig could lack some sequence from the ends of the RNA. Within the assembled sequence, this hypothetical sequence shows a perfect match to the corresponding sequence from documents available online derived from manufacturer communications with the World Health Organization [as reported by https://berthub.eu/articles/posts/reverse-engineering-source-code-of-the-biontech-pfizer-vaccine/]. The 5’ end for the assembly matches the start site noted in these documents, while the read-based assembly lacks an interrupted polyA tail (A30(GCATATGACT)A70) that is expected to be present in the mRNA.
awesome-kotlin-android
🔥📱收集利用 Kotlin 进行 Android 开发的开源库，扩展，工具，开源项目，资料等高质量资源
Blog
Android 面试宝典、数据结构和算法、音视频 (FFmpeg、AAC、x264、MediaCodec)、 C/C++ 、OpenCV、跨平台等学习记录。【0基础音视频进阶学习路线】
DoraemonKit
简称 "DoKit" 。一款功能齐全的客户端（ iOS 、Android ）研发助手，你值得拥有。
FFmpeg-Android
🔥FFmpeg-Android 是基于ffmpeg n4.0-39-gda39990编译运行在android平台的音视频的处理框架， 使用的是ProcessBuilder执行命令行操作， 可实现视频字幕添加、尺寸剪切、添加或去除水印、时长截取、转GIF动图、涂鸦、音频提取、拼接、质量压缩、加减速、涂鸦、 倒放、素描、色彩平衡、模糊、九宫格、添加贴纸、滤镜、分屏、图片合成视频等,音视频合成、截取、拼接，混音、音视频解码等等音视频处理...
FFmpegCommand
适用于Android的FFmpeg命令库，实现了对音视频相关的处理，比如音视频剪切，音视频转码等
FFmpegDemo
Android使用FFmpeg框架进行本地视频压缩，扩展性高，效果好，亲测有效！！！
go-web-scaffold
go语言web开发脚手架
GSYVideoPlayer
视频播放器（IJKplayer、ExoPlayer、MediaPlayer），HTTPS，支持弹幕，支持滤镜、水印、gif截图，片头广告、中间广告，多个同时播放，支持基本的拖动，声音、亮度调节，支持边播边缓存，支持视频自带rotation的旋转（90,270之类），重力旋转与手动旋转的同步支持，支持列表播放 ，列表全屏动画，视频加载速度，列表小窗口支持拖动，动画效果，调整比例，多分辨率切换，支持切换播放器，进度条小窗口预览，列表切换详情页面无缝播放，rtsp、concat、mpeg。
KeepAlive
Android <=8.0 进程保活方案
LanSoEditor_advance
android video editor advance sdk .蓝松短视频编辑SDK专业版 android端, 紧跟主流视频效果, 提供抖音,QQ微视中的灵魂出窍,抖动等25种视频效果,图层架构,所有的叠画面都是一层一层来完成的,支持AE模板 (After Effects),可做微商水印相机, 小柿饼的效果等
LanSoEditor_common
在android系统封装好的ffmpeg. 免费. 采用硬件加速,更快的视频转码.裁剪,剪切,分离,合并,转换,拼接,水印,叠加,混合,转码,压缩, 变速，添加LOGO，添加滤镜，添加背景音乐，加速减速视频，倒放音视频, 多个视频合成等工作; 和普通的ffmpeg相比, 更快速。Wrapped in android system ffmpeg. Free. Use hardware acceleration, faster video transcoding. Crop, cut, separate, merge, convert, stitch, watermark, overlay, blend, transcode, compress, shift, add LOGO, Add filters, add background music, accelerate deceleration video, rewind audio and video, multiple video synthesizers, etc.; faster than normal ffmpeg.
Ncalendar
fork form necer
PhotoMovie
Using your photos to create cool videos.(高仿抖音照片电影功能)
QtScrcpy
Android real-time display control software
RxFFmpeg
🔥RxFFmpeg 是基于 ( FFmpeg 4.0 + X264 + mp3lame + fdk-aac ) 编译的适用于 Android 平台的音视频编辑、视频剪辑的快速处理框架，包含以下功能（视频拼接，转码，压缩，裁剪，片头片尾，分离音视频，变速，添加静态贴纸和gif动态贴纸，添加字幕，添加滤镜，添加背景音乐，加速减速视频，倒放音视频，音频裁剪，变声，混音，图片合成视频，视频解码图片等主流特色功能
VideoRecord
最全的懒人视频拍摄，支持横屏拍摄效果与竖屏拍摄效果，闪光灯，切换前后摄像头，懒人视频拍摄Demo，继承预览。简书：
ycy-intellij-plugin
超越鼓励师 for IntelliJ IDEA