Wednesday, 17 September 2014

一样可以使用 在美国体验小米盒子实录

今天为大家分享一位在美国的小伙伴使用小米盒子的体验过程。相信和国内使用小米盒子肯定差异不少。
他拿到小米盒子后,根据经验用常规方法把盒子连上装上,更新系统软件,然后准备正常使用。但是电视不停刷新说用户认证失败,除了设置什么都不让干。网上搜索才知道有人打过客服电话告知美国的IP被屏蔽。那么怎么办呢?只能越狱了。
前提,他的盒子先连到电视的,所以把软件更新了,同时设置了允许接受非信任非安全的安装源。
首先找到一根MicroUSB到USB的连接线(小米管它叫OTG数据线,这个线随机没有需要单独购买)一头连盒子的MicroUSB接口一边连到笔记本的USB口。请注意一定要Windows,如果使用Mac据过来人讲将是梦魇。然后把电源给小米盒子接上让它启动。
在Windows上从网上搜索下载安装“腾讯手机助手”Windows版,装好后就能看到小米盒子“手机”连上了。再详细说就变成腾讯手机助手的使 用说明了,简言之就是装几个“官方”应用,我觉得比较好的除了几大官方视频app,兔子视频 3 很好适合看电影, 中国网络电视(CNTV)和91看电视两个app挺适合看电视的,其他App随意。还有很多app看名字看图标就是低级粗俗走下三路的,装了也不能用就不 用浪费时间了。也不需要直接从网上下载apk装,因为“官方”的都有了且版本更新。
那个恼人的用户认证失败怎么解决呢?就是不停的按遥控器的确认按钮,多按几次小米思维混乱了,就可以进入主菜单,然后找到其“管理应用中心”,找到 已经添加应用打开运行就行了。然后下次长按主页按钮就能在快捷菜单中列出最近运行的app了。看电视效果还可以(用50Mbps的Comcast的宽 带),标清流畅高清稍卡,电影缓冲缓冲能看。
之后的使用体验就和国内差不多了。

Saturday, 13 September 2014

Xiaomi Mi4 VS Apple iPhone 6

Compare Mobile Phone Specs.

General Specifications
Release Date
Manufacturer
Operating System OS
OS Version
UI User Interface
Dimensions
Dimensions Inches
Weight
SIM-card slots
SIM
Keypad
Compare Memory
Internal Storage
RAM
Memory Card Slot
Max Card Storage
Compare Processor
CPU Processor
CPU Speed
CPU Cores
Graphics Processor
Compare Camera
Camera
Flash
Autofocus
Video Resolution
Frontcamera
Speaker
MP3 player
Radio
Compare Display
Display Type
Display Protection
Display Size
Display Resolution
Pixel Density (PPI)
Touchscreen
Multitouch
Compare Battery
Battery Technology
Battery Capacity
Removable Battery
Talk Time
Standby Time
Compare Connectivity
Headphone Connection
Bluetooth Version
DLNA
E-Mail
EDGE
GSM Frequencies
GPRS
GPS
HSDPA
HSUPA
Infrared
MMS
Navigation
NFC support
UMTS
Wi-Fi
Compare Messaging
Twitter
Facebook
WhatsApp
Google+
 
Xiaomi Mi4 vs Apple iPhone 6 Comparison
Xiaomi Mi4
July 2014
Xiaomi
Android
Android 4.4.3 KitKat
MIUI
139.2 x 68.5 x 8.9 mm
5.48 x 2.70 x 0.35 inches
149 grams / 5.26 oz
1
Micro-SIM
On screen
Xiaomi Mi4
16GB or 64GB
3 GB
No
No
Xiaomi Mi4
Qualcomm Snapdragon 801
2.5 GHz Krait 400
Quad-core
Adreno 330
Xiaomi Mi4
13 Megapixel 4128 x 3096 pixels
Yes
Yes
2160p@30fps, 1080p@30fps, HDR
8 Megapixel, 1080p@30fps
Yes
Yes
FM radio
Xiaomi Mi4
IPS LCD
-
5.0 inch
1080 x 1920 pixels
441 ppi
Touchscreen
Yes
Xiaomi Mi4
Li-Ion
3080 mAh
No
Up to - hours
Up to 280 hours
Xiaomi Mi4
3.5 mm
Version 4.0
Yes
Yes
Yes
850/900/1800/1900/2100
Yes
A-GPS
Yes
Yes
Yes
Yes
Google Maps
Yes
Yes
Yes
Xiaomi Mi4
Yes
Yes
Yes
Yes
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Xiaomi Mi4 vs Apple iPhone 6 Comparison
Apple iPhone 6
September 2014
Apple
iOS
iOS 8
Apple UI
138.1 x 67 x 6.9 mm
5.44 x 2.64 x 0.27 inches
129 grams / 4.05 oz
1
Nano-SIM
On screen
Apple iPhone 6
16GB, 64GB or 128GB
1 GB
No
No
Apple iPhone 6
64-bit Apple A8
1.4 GHz
Dual-core
-
Apple iPhone 6
8 Megapixel, 3264 x 2448 pixels
Yes
Yes
1080p@60fps, 720p@240fps
1.2 Megapixel 720p
Yes
Yes
No
Apple iPhone 6
LED-backlit IPS LCD
Sapphire crystal glass
4.7 inch
750 x 1334 pixels
326 ppi
Touchscreen
Yes
Apple iPhone 6
Li-Po
1810 mAh
No
Up to 14 hours
Up to 250 hours
Apple iPhone 6
3.5 mm
Version 4.0
Yes
Yes
Yes
LTE 850/900/1800/1900/2100
Yes
A-GPS
Yes
Yes
No
Yes
Maps
Yes
Yes
Yes
Apple iPhone 6
Yes
Yes
Yes
Yes

Thursday, 11 September 2014

IntPath: comprehensive annotation database and novel algorithms to better extract biology from large gene lists

Background

Pathway data are important for understanding the relationship between genes, proteins and many other molecules in living organisms. Pathway gene relationships are crucial information for guidance, prediction, reference and assessment in biochemistry, computational biology, and medicine. Many well-established databases--e.g., KEGG, WikiPathways, and BioCyc--are dedicated to collecting pathway data for public access. However, the effectiveness of these databases is hindered by issues such as incompatible data formats, inconsistent molecular representations, inconsistent molecular relationship representations, inconsistent referrals to pathway names, and incomprehensive data from different databases.

Results

In this paper, we overcome these issues through extraction, normalization and integration of pathway data from several major public databases (KEGG, WikiPathways, BioCyc, etc). We build a database that not only hosts our integrated pathway gene relationship data for public access but also maintains the necessary updates in the long run. This public repository is named IntPath (Integrated Pathway gene relationship database for model organisms and important pathogens). Four organisms--S. cerevisiae, M. tuberculosis H37Rv, H. Sapiens and M. musculus--are included in this version (V2.0) of IntPath. IntPath uses the "full unification" approach to ensure no deletion and no introduced noise in this process. Therefore, IntPath contains much richer pathway-gene and pathway-gene pair relationships and much larger number of non-redundant genes and gene pairs than any of the single-source databases. The gene relationships of each gene (measured by average node degree) per pathway are significantly richer. The gene relationships in each pathway (measured by average number of gene pairs per pathway) are also considerably richer in the integrated pathways. Moderate manual curation are involved to get rid of errors and noises from source data (e.g., the gene ID errors in WikiPathways and relationship errors in KEGG). We turn complicated and incompatible xml data formats and inconsistent gene and gene relationship representations from different source databases into normalized and unified pathway-gene and pathway-gene pair relationships neatly recorded in simple tab-delimited text format and MySQL tables, which facilitates convenient automatic computation and large-scale referencing in many related studies. IntPath data can be downloaded in text format or MySQL dump. IntPath data can also be retrieved and analyzed conveniently through web service by local programs or through web interface by mouse clicks. Several useful analysis tools are also provided in IntPath.

Conclusions

We have overcome in IntPath the issues of compatibility, consistency, and comprehensiveness that often hamper effective use of pathway databases. We have included four organisms in the current release of IntPath. Our methodology and programs described in this work can be easily applied to other organisms; and we will include more model organisms and important pathogens in future releases of IntPath. IntPath maintains regular updates and is freely available at http://compbio.ddns.comp.nus.edu.sg:8080/IntPath

Saturday, 6 September 2014

电脑开机报警

开机报警下面是报警的声音全部解释
一、1短声 —— 系统正常启动。
二、2短声 —— 常规错误。应进入CMOS重设错误选项。
三、1长1短声 —— RAM或主板出错。
四、1长2短声 —— 显示器或显卡错误。
五、1长3短声 —— 键盘控制器出错。
六、1长9短声 —— 主板FlashRAM或EPROM错误。
七、不间断长声 —— 内存未插好或有芯片损坏。
八、不停响声 —— 显示器未与显卡连接好。
九、重复短声 —— 电源故障。
十、无声且无显示 —— 无电源,或CMOS电池耗尽,或CPU出错。
1、如果声音长声不断响,有可能是内存条未插紧
2、如果声音快速短声响两次(例如滴、滴):有可能是CMOS设置错误,需要重设,这种情况出现最多,屏幕画面的底部(一般在左下)会出现英文提示“CMOS CHECKSUM FAILURE ”,然后要求按F?(F?可能是F1-F12,视乎主板)载入默认设置或者进入。另外,刷新/更新BIOS后也有可能出现这个问题,载入默认设置就好了。
3、如果声音是一长声 一短声的,有可能是内存或主板错误。
4、如果声音是一长声 两短声的,有可能是显示器或显卡错误。
5、如果声音是一长声 三短声,有可能是键盘控制器错误。
6、如果声音是一长声 九短声,有可能是主板BIOS的FLASH RAM 或EPROM错误。
1、如果声音只是一短声响,有可能是内存刷新故障。
2、如果声音是快速短声响两次,有可能是内存ECC校验错误。
3、如果声音是快速短声响两次,有可能是系统基本内存检查失败。
4、如果声音是快速短声响四次,有可能是系统时钟出错。
5、如果声音是快速短声响五次,有可能是CPU出现错误。
6、如果声音是快速短声响六次,有可能是键盘控制器错误。
7、如果声音是快速短声响七次,有可能是系统实模式错误。
8、如果声音是快速短声响八次,有可能是显示内存错误。
9、如果声音是快速短声响九次,有可能是BIOS芯片检验错误。
10、如果声音是一长声 三短声,有可能是内存错误。祝你好运!