WIN free family tickets to watch the Ayrshire Bulls Super6 rugby team in action
The Ayrshire Post has teamed up with the Bulls for this fantastic giveaway.
by Ayrshire Post, https://www.dailyrecord.co.uk/authors/ayrshire-post/Super6 rugby kicks off in Ayr this Sunday as the Ayrshire Bulls take to the field.
The long-awaited debut of the Millbrae side will be streamed live on the BBC Scotland website.
Peter Murchie’s men take on Heriots in the season opener of the new franchise format.
And YOU can be there to see all the thrills and spills courtesy of the Ayrshire Post and the Bulls.
We've got two family tickets (2 adults and up to 4 kids) to give away for this weekend's big clash.
A raft of pre-match entertainment includes a climbing wall and vintage car display.
Representatives from the Armed Forces and Poppy Scotland will also be on hand to commemorate Remembrance Sunday.
To be in with a chance of winning, simply tell us where the Ayrshire Bulls will play their home games?
Email your answer along with your name, email address and postcode to<EMAIL_ADDRESS>using the subject "Bulls Competition".
Entries must be submitted by 5pm on Friday.
Good luck!


last modified: June 2014
The CDM data model is close to, but not identical to the NetCDF-4 data model. When reading netCDF-4 files, one is interested in the mapping from netCDF-4 to CDM. This mapping is relatively stable. As of version 4.3, the CDM can write to netCDF-4 files, and one is interested in the mapping from CDM to netCDF-4. This mapping is still being developed, eg to give users some control where needed.
NetCDF-4 intentionally supports a simpler data model than HDF5, which means there are HDF5 files that cannot be converted to netCDF-4. See: https://www.unidata.ucar.edu/software/netcdf/docs/faq.html#fv15
From netCDF-4 to CDM
- A netCDF-4 Compound is a CDM Structure. Both can be arbitrarily nested. The components of the Compound type are called fields in NetCDF-4 and member variables in the CDM.
- A netCDF-4 Enum is a CDM enum1, enum2, or enum4 and references a EnumTypedef which holds the (enum, String) map.
- A netCDF-4 Vlen is mapped to a CDM variable length Dimension.
- A netCDF-4 Opaque type is a CDM opaque type, but the length of the data cannot be found until you read the data.
- NetCDF-4 signed and unsigned byte, short, int, long are mapped to CDM byte, short, int, long. If unsigned, the attribute _Unsigned = "true" is added to the CDM Variable, and Variable.isUnsigned() is true, as well as Array.isUnsigned(), from any data that is read from the variable.
From CDM to netCDF-4
- A CDM array of Opaque may have a different length for each Opaque object. May have to read to find maximum length.
- A CDM Structure may have member Variables that use shared dimensions. NetCDF4 / HDF5 does not support shared dimensions in Compound fields. If writing CDM to netCDF4, currently we just anonymize the shared dimensions.
- A CDM Structure member Variables may have attributes. NetCDF4 / HDF5 does not support attributes on fields in Compound fields. The CDM uses these conventions for specifying attributes on compound fields.
From netCDF-4 to CDM
- A netCDF-4 Enumeration Type becomes a CDM EnumTypedef.
- All other netCDF-4 type definitions are repeated for each CDM variable that uses them. The attribute _Typedef = "typename" is added to the CDM Variable, where typename is the name of the netCDF-4 type.
From CDM to netCDF-4
- A CDM EnumTypedef becomes a netCDF-4 Enumeration Type.
- If a CDM Variable has an attribute _Typedef = "typename", then the Variables' definition is made into a netCDF-4 type.
In CDM, an attribute type may only be a scalar or 1D array of signed byte, short, int, long, float, double, or String. A char type is mapped to a String.
From netCDF-4 to CDM
- An attribute of compound type in netCDF-4 is flattened, by making each field a separate attribute, with name attName.fieldName in the CDM.
- If the compound attribute is for a compound variable, and the field name of the attribute matches a field name of the variable, the attribute is added to that field instead of being flattened.
- An attribute of enum type in netCDF-4 becomes a String type in the CDM. ???
- An attribute of opaque type in netCDF-4 becomes a byte type in the CDM.
- An attribute of vlen of type in netCDF-4 becomes an array of type in the CDM.
- An attribute of an unsigned byte, short, int in netCDF-4 is promoted to a signed short, int, or long in the CDM.
From CDM to netCDF-4
- Attributes on member variables of Structures are made into a compound attribute on the parent Structure.
1) char arrays are interpreted as UTF-8 bytes array (Strings) when they are attributes . but data arrays are not, they are run through unsignedToShort() and cast to char. this seems like trouble.
2) nc4 allows arbitrary composition of vlen. cdm tries to map these to a variable length dimension, to get a ragged array, not part of the data type. But Arrays are rectangular, so its a difficult fit.
could define ArrayRagged which maps to C multidim arrays.
its natural to map
int data(x,y,*) -> int(*) data(x,y)
but it doesn't generalize well to nested vlens. nc4 solution is to declare each type separately and chain them:
int(*) type1; type1(*) type2; type2 data(x,y);
Array.isVariableLength(). IOSP might return ArrayInteger from int data(*). Needs to return ArrayObject for int data(3,*), with Array.isVariableLength() true.
int(*) returns ArrayInt int(3,*) returns ArrayObject(3) with ArrayInt(*) inside int(*,3) returns Array(n,3), whatever n happens to be. int(3,*,*) returns ArrayObject(3) with ArrayObject(*) inside with ArrayInt(*) inside. int(*,3,*) returns ArrayObject(n) with ArrayObject(3) inside with ArrayInt(*) inside. int(*,*,3) returns ArrayObject(n) with ArrayInt(*,3) inside. OR ArrayObject(n) with ArrayObject(*) with ArrayInt(3) inside. struct { int i1; float vf(*); } s(3); is like float(3,*) -> ArrayObject(3) with ArrayFloat(*), inside the ArrayStructure. this is getting out of control
3) attributes : n4 can be user defined types, cdm: 1 dim array of primitive or String.
netcdf tst_enums { types: ubyte enum Bradys {Mike = 8, Carol = 7, Greg = 6, Marsha = 5, Peter = 4, Jan = 3, Bobby = 2, Whats-her-face = 1, Alice = 0} ; // global attributes: Bradys :brady_attribute = Alice, Peter, Mike ; } netcdf R:/testdata/netcdf4/nc4/tst_enums.nc { types: enum Bradys { 'Alice' = 0, 'Whats-her-face' = 1, 'Bobby' = 2, 'Jan' = 3, 'Peter' = 4, 'Marsha' = 5, 'Greg' = 6, 'Carol' = 7, 'Mike' = 8}; :brady_attribute = "Alice", "Peter", "Mike"; }


The XPath you pass to the data set constructor can also contain an XPath expression. You can use an XPath expression to filter out XML nodes before the data set actually has a chance to flatten it.
Some example uses of XPath filtering are for data paging, or matching specific nodes based on attribute or node values.
Here's an example where we are only displaying the names of 10 states from our XML file starting at offset 30.
Here's an example where we are using XPath to match the state node for "New York".


Digital Biome APIs are RESTful and are processed with HTTPS. The responses are always JSON and are compressed with gzip when possible.
R and Python SDKs make it super easy to interact with your API by automatically loading data as a data frame.
Data can be made public or private. If data are public, no authentication is required. For private data, downloads are usually authenticated and authorized with Bearer Auth via a single API key.
You can also avoid the authorization header by passing ?key=your-api-key
as a parameter in the URL.
Adding or modifying data or keys requires administrative access via the master API/Secret key pair. This master key pair is used to generate a JSON Web Token, where the API key is hashed with the Secret key for security. Then, this Token is passed to the server with Bearer Auth for authentication and authorization. Each token is valid for a limited time.
The administrative tokens are generated automatically through the R and Python SDKs when you make an add_
call, so you never actually need to create them on your own.
They can also be generated in the Admin panel of the website.
To test your account
Example request:
curl https://api.digitalbiome.io/v1/account_id -H "Authorization: Bearer your-api-key"
or
curl https://api.digitalbiome.io/v1/account_id?key=your-api-key
Example response:
"Authentication success! Great work."
A data set can have multiple valid API keys, and each API key can be attached to multiple data sets. Additionally, keys can be revoked or edited at any time.
This requires administrative access.
Example request:
curl https://api.digitalbiome.io/v1/account_id/keys -H "Authorization: Bearer your-admin-token"
Example response:
{ "keys": [ { "add_date": "Sun, 30 Apr 2017 14:15:07 GMT", "data_ids": [ "airports", "airlines", "routes" ], "free": false, "key": "8aeb4db1465d", "nrows": 81006 } ] }
> k <- get_keys("account_id") > k$keys add_date data_ids free key nrows 1 Sun, 30 Apr 2017 14:15:07 GMT airports, airlines, routes FALSE 8aeb4db1465d 81006
The keys
object is a data frame with columns for add_date, data_ids (a list of associated data ids), free, key, nrows.
This requires administrative access.
if the data_ids
list is empty or the -d
call is missing, this request will create a new key without any attached data sets.
The data set access for each key can be edited on the administrative dashboard.
curl https://api.digitalbiome.io/v1/account_id/keys \ -H "Content-Type: application/json" \ -H "Authorization: Bearer your-admin-token" \ -d '{"data_ids": ["your-data-ids", "separated-by-commas"]}'
> k <- add_keys("account_id") > k$keys add_date data_ids free key nrows 1 Sun, 30 Apr 2017 14:15:07 GMT airports, airlines, routes FALSE 8aeb4db1465d 81006
The keys
object is a data frame with columns for add_date, data_ids (a list of associated data ids), free, key, nrows.
Not implemented yet, currently accessible on the administrative dashboard.
A generic request to the data endpoint returns information about the data_ids
, metadata, number of rows, and variables for each data set.
Example request:
curl https://api.digitalbiome.io/v1/account_id/data
Example response
{ "datasets": [ { "creation_date": "Sun, 30 Apr 2017 14:16:53 GMT", "data_id": "airports", "metadata": "Source and metadata: http://openflights.org/data.html\nLicense: Data are available under the Open Database License: http://opendatacommons.org/licenses/odbl/1.0/", "rows": 7183, "variables": [ "AirportID", "Name", "City", "Country", "IATA", "ICAO", "Latitude", "Longitude", "Altitude", "Timezone", "DST", "Tz", "Type", "Source" ] }, { "creation_date": "Sun, 30 Apr 2017 14:16:56 GMT", "data_id": "airlines", "metadata": "Source and metadata: http://openflights.org/data.html\n License: Data are available under the Open Database License: http://opendatacommons.org/licenses/odbl/1.0/", "rows": 6161, "variables": [ "AirlineID", "Name", "Alias", "IATA", "ICAO", "Callsign", "Country", "Active" ] } ] }
This is some description.
curl https://api.digitalbiome.io/v1/account_id/data/data_id -H "Authorization: Bearer your-api-key"
This is some description.
curl -X POST https://api.digitalbiome.io/v1/account_id/data -H "Content-Type: application/json" -H "Authorization: Bearer your-admin-token" -d '{your-json-data}'
Not implemented yet, currently accessible on the administrative dashboard.
Not implemented yet, currently accessible on the administrative dashboard.
The API returns a HTTP 400 error if a call is invalid. For errors with authorization or validation, the call will return a JSON object with some information about resolving the error.
{ "error": "Some description of the problem." }


MAMAMOO executes electric performances on 'Yoo Hee Yeol's Sketchbook'
by sl278MAMAMOO recently appeared on the November 22 broadcast of the show where they showcased a number of electric performances and entertained the audience with their wit.
The girls prepared a number of stages for the audience and performed their newest title track "HIT". They also impressed with their beautiful vocals as they performed their ballad tracks "I Miss You" and "Hello Mama".
Check out their performance clips below.


About Us
Ringke Philippines is an authorized Ringke Partner and a locally owned and operated store that sells the latest Ringke products available in the Philippines.
Why trust us?
Follow us on Facebook!
www.facebook.com/RingkePhilippines
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CSM case: Accountability court grants Nawaz, Maryam exemption from appearance
by Our CorrespondentLAHORE: An accountability court in Lahore on Friday granted PML-N Vice-president Maryam Nawaz and ailing former prime minister Nawaz Sharif, exemption from appearing before the court in Chaudhry Sugar Mills case, said Express News.
The court resumed hearing the case today during which separate applications were submitted on behalf of Nawaz and Maryam, requesting it to exempt them from court appearances until the filing of the reference. The court later accepted their pleas.
The former premier was granted an exemption for four weeks whereas his daughter Maryam, who appeared in the court today, was granted an exemption from court appearances until the reference in the case is filed.
The PML-N supremo was taken into custody earlier in October from Lahore’s Kot Lakhpat prison – where he is already incarcerated and serving time in the Avenfield case.
On November 19, Nawaz, accompanied by his brother Shehbaz Sharif, went to London to continue with his medical treatment. The government and the Sharif family remained at odds over the removal of former prime minister Nawaz Sharif’s name from the no-fly list. However, the matter was resolved after the Lahore High Court (LHC) allowed Nawaz to fly abroad without an indemnity bond.
Maryam not a beneficiary of Chaudhary Sugar Mills, court told
Nawaz had been granted bail by the Islamabad High Court on humanitarian grounds in the Al Azizia case and by the LHC in the Chaudhry Sugar Mills case, in which he is a suspect.
Earlier in August this year, NAB had also arrested Maryam and Yousuf Abbas in the same case.


At Daniekeys Technologies , we offer a great deal in terms of customer satisfactions we are known for our fast and efficient work
Official WebsiteAnimate.css and waypoint allow for smooth animations scrolling of the site you can have all it takes to make it
Animate.css and waypoint allow for smooth animations scrolling of the site you can have all it takes to make it
Animate.css and waypoint allow for smooth animations scrolling of the site you can have all it takes to make it
Built with the latest HTML 5
Biult with the latest CSS-3 it
Built with latest BOOSTRAP 4
well as for me I guess when it comes to finding a place where you can get your website built with cheap and affordable price Daniekeys official should be your choice .
— Agharase Osarere , CEO SOCIAL NET FOR KIDS
Well as for me I guess, Daniekeys websites have made it easier for me to market my products locally and internationally . Fears of low site load is solved at here. I think everyone out there should also be a partaker.
— Carina Unice, CEO C&U Libraries.
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Penn EnChord is a Western-Chinese fusion singing group at the University of Pennsylvania that started in 2013, dedicated to spreading the love for Chinese music to the Philadelphia community and beyond. The group mixes modern and western singing elements with traditional Chinese music to create a new form of music, a form, which the group hopes will appeal to existing fans of Chinese music, as well as those who have never been exposed before.
宾大安可清唱团由来自宾大的大陆留学生在 2013 年秋季创建，目前成员包括费城四校热爱音乐的学生。安可以快乐而又自由、时而严肃时而逗比的演唱态度为宗旨，主打中国风，也融入西方流行。从编曲到合声，我们的歌几乎都是团员自己一行一行写出来的，每一个音符里都有着我们对音乐深深的热爱。对我们来说，合唱团最宝贵的是我们在一次次排练、聚会、演出的欢声笑语中结下的深厚友谊。希望你能从我们的歌声中听到我们对音乐的热爱与对彼此的珍惜。安可，为你安可。
Whether you are from Penn, Drexel, St. Joseph or any other school, and whether you have perfect pitch, or have never had professional music training, as long as you love to sing and think you have a great voice, we'd love to hear from you! Please email us if you would like to schedule an audition.
Would you like your advertisement to reach Penn and Drexel Students? Become a sponsor of EnChord! You can have a half page or whole page display in our brochure, your logo printed on our ticket, acknowledgment during our concert, and much more! Please email us if you would like to get more information on our sponsorship packages.


Allows to perform the multivariate version of the Diebold-Mariano test for equal predictive ability of multiple forecast comparison. Main reference: Mariano, R.S., Preve, D. (2012) <doi:10.1016/j.jeconom.2012.01.014>.
| Version: | 1.0 |
| Published: | 2018-05-18 |
| Author: | Krzysztof Drachal [aut, cre] (Faculty of Economic Sciences, University of Warsaw, Poland) |
| Maintainer: | Krzysztof Drachal <kdrachal at wne.uw.edu.pl> |
| License: | GPL-3 |
| URL: | https://CRAN.R-project.org/package=multDM |
| NeedsCompilation: | no |
| Citation: | multDM citation info |
| Materials: | NEWS |
| In views: | TimeSeries |
| CRAN checks: | multDM results |
| Reference manual: | multDM.pdf |
| Package source: | multDM_1.0.tar.gz |
| Windows binaries: | r-devel: multDM_1.0.zip, r-release: multDM_1.0.zip, r-oldrel: multDM_1.0.zip |
| OS X binaries: | r-release: multDM_1.0.tgz, r-oldrel: multDM_1.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=multDM to link to this page.


/* Script compression helper */
The CodeMirror scripts, as distributed, are many, and full of comments. To optimize page loading, it is recommended to concatenate the scripts loaded in the CodeMirror frame, and compress them. This page may be useful if you intend to do this: it provides an interface to Google's Closure compiler, allowing you to easily load in CodeMirror scripts.
You will have to compress codemirror.js
separately, since that will be loaded into the top-level page from
which you use CodeMirror. Inside the frame, the
parserfile
and basefiles
options control
which files are loaded. If you combine the parser(s) you need with
the basefiles, you can set basefiles
to point at your
compressed file, and leave parserfiles
at
[]
.
For example, you have a page that uses CodeMirror to edit some
JavaScript code. You could save a minimized version of
codemirror.js
as codemirror_min.js
, and
include that (with a <script>
tag) in your page.
Next, you compress all the files under "In-frame base code", plus
tokenizejavascript.js
and
parsejavascript.js
into
codemirror_base.js
, and load the editor like
this:
CodeMirror.fromTextArea("mytextarea", { basefiles: ["js/codemirror_base.js"], lineNumbers: true });
Clicking the "Compress" buttons below will take you to a file containing the compressed code. Copy-paste this into your script file. ("Save as" for that page is broken on some browsers, so be careful).


Harmony Core Generic Extensions
Expansion Tokens
None
Expressions
<IF HARMONYCORE_RELATIONS_ENABLED>
Does the structure have relations enabled?
Relations can be enabled for all structures via the CodeGen define ENABLE_RELATIONS, or for a specific structure by adding the text HARMONYCORE_RELATIONS_ENABLED=true; or HARMONYCORE_RELATIONS_ENABLED=false; to a structures long description or user-defined text field.
<IF HARMONYCORE_RELATIONS_VALIDATION_ENABLED>
Does the structure have relation validation enabled?
Relation validation can be enabled for all structures via the CodeGen define ENABLE_RELATIONS_VALIDATION, or for a specific structure by adding the text HARMONYCORE_RELATIONS_VALIDATION_ENABLED=true; or HARMONYCORE_RELATIONS_VALIDATION_ENABLED=false; to a structures long description or user-defined text field.
Copyright © 2021 Synergex International, Inc.


https://leetcode.com/problems/permutation-sequence/
The set [1,2,3,...,n] contains a total of n! unique permutations. By listing and labeling all of the permutations in order, we get the following sequence for n = 3: "123" "132" "213" "231" "312" "321" Given n and k, return the kth permutation sequence. Note: Given n will be between 1 and 9 inclusive. Given k will be between 1 and n! inclusive. Example 1: Input: n = 3, k = 3 Output: "213" Example 2: Input: n = 4, k = 9 Output: "2314"1.
class Solution(object): def getPermutation(self, n, k): """ :type n: int :type k: int :rtype: str """
class Solution(object): def getPermutation(self, n, k): """ :type n: int :type k: int :rtype: str """ thelist = [i for i in range(1, n+1, 1)] return self.permutating(thelist, k) def permutating(self, thelist, k): if k == 1: return ''.join([str(x) for x in thelist]) tot = 1 for i in range(1, len(thelist)): tot *= i n = int((k - 1) / tot) pre = str(thelist[n]) del thelist[n] return pre + self.permutating(thelist, k - n * tot)


--- layout: post title: 'Photo Blog Post 2: Title' date: type: post published: false status: private categories: - General tags: [] meta: _edit_last: '1' _wpas_done_all: '1' geo_public: '0' _publicize_job_id: '15539523442' author: login: wlftn email<EMAIL_ADDRESS>display_name: lauren first_name: Lauren last_name: '' ---
[gallery type="rectangular" ids="411,410,409,408,407,406"]


CD
问题描述 :
Jack and Jill have decided to sell some of their Compact Discs, while they still have some value. They have decided to sell one of each of the CD titles that they both own. How many CDs can Jack and Jill sell?
Neither Jack nor Jill owns more than one copy of each CD.
输入:
The input consists of a sequence of test cases. The first line of each test case contains two non-negative integers N and M, each at most one million, specifying the number of CDs owned by Jack and by Jill, respectively. This line is followed by N lines listing the catalog numbers of the CDs owned by Jack in increasing order, and M more lines listing the catalog numbers of the CDs owned by Jill in increasing order. Each catalog number is a positive integer no greater than one billion. The input is terminated by a line containing two zeros. This last line is not a test case and should not be processed.
输出:
The input consists of a sequence of test cases. The first line of each test case contains two non-negative integers N and M, each at most one million, specifying the number of CDs owned by Jack and by Jill, respectively. This line is followed by N lines listing the catalog numbers of the CDs owned by Jack in increasing order, and M more lines listing the catalog numbers of the CDs owned by Jill in increasing order. Each catalog number is a positive integer no greater than one billion. The input is terminated by a line containing two zeros. This last line is not a test case and should not be processed.
样例输入:
3 3 1 2 3 1 2 4 0 0
样例输出:
2
TLE超时用scanf神奇的解决了。。。
用set超内存，囧，二分解决了
果然ACM好变态，老老实实用最原始的方法
#include<iostream> #include<set> #include<algorithm> #include<string> #include<stdio.h> #define N 1000005 int m,n; int tmp; int ja[N]; int nsell; bool serach(int v) { int st=0,ed=m-1; int md; bool flag=false; while (st<=ed){ md=(st+ed)/2; if(ja[md]>v){ ed=md-1; }else if(ja[md]<v){ st=md+1; }else{ flag=true; break; } } return flag; } int main() { while (std::cin>>m>>n&&(m!=0||n!=0)){ for(int i=0;i!=m;i++){ scanf("%d",&ja[i]); } for(int i=0;i!=n;i++){ scanf("%d",&tmp); if(serach(tmp)){ nsell++; } } std::cout<<nsell<<std::endl; memset(ja,0,sizeof(ja)); nsell=0; } }
版权声明：本文为博主原创文章，未经博主允许不得转载。
参考：http://blog.csdn.net/emiyasstar__/article/details/9131967
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果断22222222，因为第二个瞳孔看起来很妖孽，有种说不出来的美
果断22222222，因为第二个瞳孔看起来很妖孽，有种说不出来的美
果断22222222，因为第二个瞳孔看起来很妖孽，有种说不出来的美
果断22222222，因为第二个瞳孔看起来很妖孽，有种说不出来的美
对，就是把这32位当成一个长度为32的数
不同的编译器，printf(),执行的顺序不同，所以结果也就不同，建议不要那么写
总数为2n，遍历到第n个，就是中间的位置
有意思，有难度
隐藏最深的bug是(start+end)/2有可能上溢
不考虑最后将结果排序的话，快排的时间复杂度是O(N) ，而堆排的是O(N*logK),这样比较看，快排快
第15行代码，/n/n，应该改为\n\n
Good task for the group. Hold it up for every yeara??s winner. This is a excellent oppotunity for a lot more enhancement. Indeed, obtaining far better and much better is constantly the crucial. Just like my pal suggests on the truth about ab muscles, he just keeps obtaining much better.
厉害，支持
这是往年的笔试题，非在线，主要考察基础，Java会在面试时问到
有没有C++编译的？
这配图…..
文章写得挺好，就是最后的斐波那契那个没有看明白
嗯，是写错了，文中以更改。MAX ( L(X[0..m-2], Y[0..n-1]), L(X[0..m-1], Y[0..n-2])


|
EmberZNet API Reference: For the PC Host platform
EmberZNet <IP_ADDRESS>
For the EFR32 and EM3xx Platforms
|
Functions that provide access to the system clock. More...
Macros | |
| #define | halIdleForMilliseconds(duration) halCommonIdleForMilliseconds((duration)) |
Functions | |
| uint16_t | halInternalStartSystemTimer (void) |
| Initializes the system tick. More... | |
| uint16_t | halCommonGetInt16uMillisecondTick (void) |
| Returns the current system time in system ticks, as a 16-bit value. More... | |
| uint32_t | halCommonGetInt32uMillisecondTick (void) |
| Returns the current system time in system ticks, as a 32-bit value. More... | |
| uint64_t | halCommonGetInt64uMillisecondTick (void) |
| Returns the current system time in system ticks, as a 64-bit value. More... | |
| uint16_t | halCommonGetInt16uQuarterSecondTick (void) |
| Returns the current system time in quarter second ticks, as a 16-bit value. More... | |
| EmberStatus | halSleepForQuarterSeconds (uint32_t *duration) |
| Uses the system timer to enter ::SLEEPMODE_WAKETIMER for approximately the specified amount of time (provided in quarter seconds). More... | |
| EmberStatus | halSleepForMilliseconds (uint32_t *duration) |
| Uses the system timer to enter ::SLEEPMODE_WAKETIMER for approximately the specified amount of time (provided in milliseconds). Note that since the system timer ticks at a rate of 1024Hz, a second is comprised of 1024 milliseconds in this function. More... | |
| EmberStatus | halCommonIdleForMilliseconds (uint32_t *duration) |
| Uses the system timer to enter ::SLEEPMODE_IDLE for approximately the specified amount of time (provided in milliseconds). More... | |
Functions that provide access to the system clock.
A single system tick (as returned by halCommonGetInt16uMillisecondTick() and halCommonGetInt32uMillisecondTick() ) is approximately 1 millisecond.
A single quarter-second tick (as returned by halCommonGetInt16uQuarterSecondTick() ) is approximately 0.25 seconds.
The values used by the time support functions will wrap after an interval. The length of the interval depends on the length of the tick and the number of bits in the value. However, there is no issue when comparing time deltas of less than half this interval with a subtraction, if all data types are the same.
See system-timer.h for source code.
| #define halIdleForMilliseconds | ( | duration | ) | halCommonIdleForMilliseconds((duration)) |
| uint16_t halCommonGetInt16uMillisecondTick | ( | void | ) |
Returns the current system time in system ticks, as a 16-bit value.
| uint16_t halCommonGetInt16uQuarterSecondTick | ( | void | ) |
Returns the current system time in quarter second ticks, as a 16-bit value.
| uint32_t halCommonGetInt32uMillisecondTick | ( | void | ) |
Returns the current system time in system ticks, as a 32-bit value.
| uint64_t halCommonGetInt64uMillisecondTick | ( | void | ) |
Returns the current system time in system ticks, as a 64-bit value.
| EmberStatus halCommonIdleForMilliseconds | ( | uint32_t * | duration | ) |
Uses the system timer to enter ::SLEEPMODE_IDLE for approximately the specified amount of time (provided in milliseconds).
This function returns EMBER_SUCCESS and the duration parameter is decremented to 0 after idling for the specified amount of time. If an interrupt occurs that brings the chip out of idle, the function returns EMBER_SLEEP_INTERRUPTED and the duration parameter reports the amount of time remaining out of the original request.
| duration | The amount of time, expressed in milliseconds, that the micro should be placed into ::SLEEPMODE_IDLE. When the function returns, this parameter provides the amount of time remaining out of the original idle time request (normally the return value will be 0). |
| uint16_t halInternalStartSystemTimer | ( | void | ) |
Initializes the system tick.
| EmberStatus halSleepForMilliseconds | ( | uint32_t * | duration | ) |
Uses the system timer to enter ::SLEEPMODE_WAKETIMER for approximately the specified amount of time (provided in milliseconds). Note that since the system timer ticks at a rate of 1024Hz, a second is comprised of 1024 milliseconds in this function.
This function returns EMBER_SUCCESS and the duration parameter is decremented to 0 after sleeping for the specified amount of time. If an interrupt occurs that brings the chip out of sleep, the function returns EMBER_SLEEP_INTERRUPTED and the duration parameter reports the amount of time remaining out of the original request.
| duration | The amount of time, expressed in milliseconds (1024 milliseconds = 1 second), that the micro should be placed into ::SLEEPMODE_WAKETIMER. When the function returns, this parameter provides the amount of time remaining out of the original sleep time request (normally the return value will be 0). |
| EmberStatus halSleepForQuarterSeconds | ( | uint32_t * | duration | ) |
Uses the system timer to enter ::SLEEPMODE_WAKETIMER for approximately the specified amount of time (provided in quarter seconds).
This function returns EMBER_SUCCESS and the duration parameter is decremented to 0 after sleeping for the specified amount of time. If an interrupt occurs that brings the chip out of sleep, the function returns EMBER_SLEEP_INTERRUPTED and the duration parameter reports the amount of time remaining out of the original request.
The EM2xx has a 16 bit sleep timer, which normally runs at 1024Hz. In order to support long sleep durations, the chip will periodically wake up to manage a larger timer in software. This periodic wakeup is normally triggered once every 32 seconds. However, this period can be extended to once every 2.275 hours by building with ENABLE_LONG_SLEEP_CYCLES defined. This definition enables the use of a prescaler when sleeping for more than 63 seconds at a time. However, this define also imposes the following limitations:
| duration | The amount of time, expressed in quarter seconds, that the micro should be placed into ::SLEEPMODE_WAKETIMER. When the function returns, this parameter provides the amount of time remaining out of the original sleep time request (normally the return value will be 0). |


The base class for all of the game states. More...
Public Member Functions | |
| delegate void | method () |
| State (int screenWidth, int screenHeight) | |
| A constructor. More... | |
| virtual void | init () |
| virtual void | update (float elapsedTime) |
| virtual void | loadContent (ContentManager contentManager) |
| virtual void | draw (SpriteBatch sb) |
| virtual stateIdentifier | requests (Event recentEvent) |
| Reacts to events. More... | |
| void | addBitmap (float x, float y, string textureName, Layer layer) |
| void | addSilentBitmap (float x, float y, string textureName, Layer layer) |
| void | addStateButton (stateIdentifier targetState, float x, float y, string textureName) |
| void | addSoundEffect (ContentManager content, string fileName) |
Protected Attributes | |
| Vector2 | resolution |
| The resolution of the screen. | |
| List< Object > | bitmaps |
| Contains all of the object that act as simple pictures. | |
| List< LiveObject > | liveObjects |
| Contains moving objects. | |
| Dictionary< method, EventObject > | methodButtons |
| Contains buttons that trigger a method. | |
|
Dictionary< stateIdentifier, EventObject > | stateButtons |
| Constains buttons that trigger a state transition. | |
| AudioHandler | audioHandler |
| The AudioHandler for the state. More... | |
The base class for all of the game states.
(ie. HelpState, MenuState) Part of the state Partition.
Implements StateInterface.
|
inline |
A constructor.
| screenWidth | the width of the screen resolution |
| screenHeight | the height of the screen resolution |
|
inlinevirtual |
Reacts to events.
Returns the stateIdentifier of the state which the MenuState requests.
| vector | of tap point |
|
protected |
The AudioHandler for the state.
Should be a pointer.


Rulemaking Notices for GHG Reporting
This page provides a listing of Federal Register notices and links to more information for rule changes and proposed rule changes that affect the reporting requirements for Reporting Year 2015 and beyond.
For a list of all Federal Register notices for the GHGRP, visit the Historical Rulemakings page. During the Greenhouse Gas Reporting Rule (Part 98) proposal phase, EPA also developed a number of supporting materials, including technical support documents and responses to comments received on the proposal, which you can find in the Proposed Rule Archive.
| Federal Register Date | Citation | Action | Description | First reporting year impacted |
|---|---|---|---|---|
| 12/09/016 | 81 FR 89188 | Final Rule | Finalizes revisions to specific provisions covering 29 subparts of the Greenhouse Gas Reporting Rule to streamline implementation, improve data quality, more accurately reflect industry practices, and provide clarification. Preamble and Rule (PDF) (87 pp, 801K) Final Rule Fact Sheet Proposed Preamble and Rule (PDF) (91 pp, 890K) |
2016 2017 2018 (Varies depending on subpart) |
| 11/30/2016 | 81 FR 86490 | Final Rule | Finalizes revisions to the Petroleum and Natural Gas Systems source category (subpart W) to add new monitoring methods consistent with the New Source Performance Standard for the oil and gas industry. Also finalizes emission factors for leaking equipment to be used in conjunction with these monitoring methods and confidentiality determinations for new or substantially revised data elements. Preamble and Rule (PDF) (30 pp, 393K) Final Rule Fact Sheet Proposed Preamble and Rule (PDF) (20 pp, 352K) |
2017 |
| 05/25/2016 | 81 FR 33219 | Notice (Information Collection Request Renewal) |
Requests a renewal of the existing GHGRP Information Collection Request (ICR) from the Office of Management and Budget (OMB). The current ICR, which was scheduled to expire on May 31, 2016, will operate under a temporary extension during OMB’s review. |
|
| 11/05/2015 | 80 FR 68534 | Notice; Information Collection Request Renewal |
Announces EPA's plan to submit a request to renew an existing Information Collection Request (ICR) to the Office of Management and Budget (OMB). Also solicits comments on specific aspects of the proposed ICR. The current ICR for the GHGRP is scheduled to expire on May 31, 2016. |
N/A |
| 10/22/2015 | 80 FR 64262 | Final Rule |
Finalizes new reporting requirements for onshore petroleum and natural gas gathering and boosting activities, onshore natural gas transmission pipelines, completions and workovers of oil wells with hydraulic fracturing, and well identification numbers as well as finalizes confidentiality determinations for new data elements. |
2016 |
| 11/25/2014 | 79 FR 70352 | Final Rule | Finalizes amendments to subpart W and subpart A of the GHGRP, including revisions to certain calculation methods, monitoring and data reporting requirements, terms and definitions, and corrects technical and editorial errors. Also finalizes confidentiality determinations for new or substantially revised data elements contained in these amendments, and finalizes a revised confidentiality determination for one existing data element. Preamble and rule (PDF) (75 pp, 1MB) Fact sheet Proposed Preamble and rule (PDF) (63 pp, 937K) |
2015 |


Moving a NSF from one server to another
And no copying with Explorer or SSH either. Moving from one server to another is called replication. If it doesn't work as you expected you have a problem at hand that you need to fix that moment or it will bite you soon enough! (Picture courtesy of Bart Simpson Generator)
Posted by Stephan H Wissel on 26 October 2011 | Comments (d) | categories: IBM Notes Lotus Notes


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<EMAIL_ADDRESS>GitHub:
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BOSSGGLE
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Transcription factors in immune-mediated disease.
Abstract
A large amount of detailed information about the intracellular proteins regulating NF-kappa B activation and the cellular response to NF-kappa B activation has emerged recently. Several small molecules, an antisense oligonucleotide, and gene therapeutic agents that inhibit NF-kappa b activation have been described. Despite this, there are still significant gaps in our understanding of this process and its consequences. In contrast, the characterization of transcription factors selectively regulating cytokine production by CD4+ T cell subsets is at a very early stage. Three interacting proteins have recently been shown to contribute to subset-restricted expression of the IL-4 gene. There are other elements regulating IL-4 gene expression, however, and the relative importance of these recently identified proteins has yet to be determined.


|
GraphLayoutLibrary
|
The GraphPreProcessor class. More...
#include <GraphPreProcessor.h>
Public Types | |
| typedef adjacency_list< listS, vecS, undirectedS, property< vertex_index_t, int >, property< edge_index_t, int > > | graph |
| graph More... | |
| typedef std::vector< graph_traits< graph >::edge_descriptor > | UndirEdgeOrderType |
| UndirEdgeOrderType. More... | |
| typedef std::vector< graph_traits< graph >::vertex_descriptor > | UndirVertexOrderType |
| UndirVertexOrderType. More... | |
| typedef adjacency_list< listS, vecS, undirectedS, property< vertex_index_t, int >, property< edge_weight_t, int, property< edge_index_t, int > > > | dijkstra_graph |
| dijkstra_graph More... | |
| typedef graph_traits< dijkstra_graph >::vertex_descriptor | dijkstra_vertex_descriptor |
| dijkstra_vertex_descriptor More... | |
| typedef std::vector< EdgeDescriptor > | EdgeOrderType |
| EdgeOrderType. More... | |
| typedef std::vector< VertexDescriptor > | VertexOrderType |
| VertexOrderType. More... | |
| typedef std::vector< VertexOrderType > | EdgePairType |
| EdgePairType. More... | |
| typedef std::vector< EdgeOrderType > | CorrespondingEdgesType |
| CorrespondingEdgesType. More... | |
Public Member Functions | |
Creators | |
The methods under this section are responsible for constructing an instance of type GraphPreProcessor. | |
| GraphPreProcessor () | |
Modifiers | |
The methods under this section are responsible for modifying an instance of GraphPreProcessor. | |
| void | toMaximalPlanar (SubGraph &gInputGraph, EdgeOrderType &oDummyEdges) |
| toMaximalPlanarProcess converts planar graph to maximal planar. More... | |
| void | removeDummyEdges (SubGraph &gInputGraph, EdgeOrderType &oDummyEdges) |
| removeDummyEdgesProcess converts maximal planar graph obtained from toMaximalPlanar() to its original graph. More... | |
| void | toPlanar (SubGraph &gInputGraph, VertexOrderType &oDummyVertexList, std::vector< GraphPreProcessor::EdgePairType > &correspondingCrossingEdgeList) |
| toPlanarProcess converts gInputGraph to a planar graph. More... | |
| void | removeDummyVertices (SubGraph &gInputGraph, VertexOrderType &oDummyVertices, std::vector< GraphPreProcessor::EdgePairType > &correspondingCrossingEdge) |
| removeDummyVerticesProcess replaces dummy vertices with corresponding crossing pair of edges. More... | |
| void | removeParallelEdges (SubGraph &gInputGraph, EdgeOrderType &oParallelEdgeList, std::vector< QString > &oParrallelEdgeIDs) |
| removeParallelEdgesProcess More... | |
| void | addParallelEdges (SubGraph &gInputGraph, EdgeOrderType &oParallelEdgeList, std::vector< QString > &oParrallelEdgeIDs) |
| addParallelEdgesProcess More... | |
| void | toPlanarAlternate (SubGraph &gInputGraph, EdgeOrderType &oNonPlanarEdges) |
| toPlanarAlternateProcess More... | |
| void | addNonPlanarEdges (SubGraph &gInputGraph, EdgeOrderType &oNonPlanarEdges) |
| addNonPlanarEdgesProcess More... | |
The GraphPreProcessor class.
A class to handle all preprocessing and postprocessing operations on the graph for grid based layouting.
| typedef std::vector<EdgeOrderType> GraphPreProcessor::CorrespondingEdgesType |
CorrespondingEdgesType.
vector of EdgeOrderType.
| typedef adjacency_list< listS, vecS, undirectedS, property<vertex_index_t, int>, property < edge_weight_t, int, property<edge_index_t, int> > > GraphPreProcessor::dijkstra_graph |
dijkstra_graph
adjecency_list undirected and weighted graph type used by the Dijkstra's algorithm for converting non-planar graph to planar.
| typedef graph_traits< dijkstra_graph >::vertex_descriptor GraphPreProcessor::dijkstra_vertex_descriptor |
dijkstra_vertex_descriptor
adjecency_list graph type used by the layout algorithm for maintaining local copy of input graph.
| typedef std::vector< EdgeDescriptor > GraphPreProcessor::EdgeOrderType |
EdgeOrderType.
vector of edges in dijkstra_graph.
| typedef std::vector<VertexOrderType> GraphPreProcessor::EdgePairType |
EdgePairType.
vector of VertexOrderType.
| typedef adjacency_list< listS, vecS, undirectedS, property<vertex_index_t, int>, property<edge_index_t, int> > GraphPreProcessor::graph |
graph
adjecency_list graph type used by the layout algorithm for maintaining local copy of input graph.
| typedef std::vector<graph_traits< graph >::edge_descriptor > GraphPreProcessor::UndirEdgeOrderType |
UndirEdgeOrderType.
vector of edges in graph.
| typedef std::vector<graph_traits< graph >::vertex_descriptor > GraphPreProcessor::UndirVertexOrderType |
UndirVertexOrderType.
vector of vertices in graph.
| typedef std::vector< VertexDescriptor > GraphPreProcessor::VertexOrderType |
VertexOrderType.
vector of vertices in dijkstra_graph.
| GraphPreProcessor::GraphPreProcessor | ( | ) |
| void GraphPreProcessor::addNonPlanarEdges | ( | SubGraph & | gInputGraph, |
| EdgeOrderType & | oNonPlanarEdges | ||
| ) |
addNonPlanarEdgesProcess
this method reads planar output graph and adds the edges that were making it non-planar. These edges are supplied in the parameter
| gInputGraph | |
| oNonPlanarEdges | vector of edges that will store edges that caused crossings and will be removed from gInputGraph |
| none |
| void GraphPreProcessor::addParallelEdges | ( | SubGraph & | gInputGraph, |
| EdgeOrderType & | oParallelEdgeList, | ||
| std::vector< QString > & | oParrallelEdgeIDs | ||
| ) |
addParallelEdgesProcess
this method reads a non-planar graph, adds the parallel edges stored in the supplied parameter to input graph
| gInputGraph | |
| oParallelEdgeList | vector of edges that stores parallel edges that are added to gInputGraph |
| LayoutException |
| void GraphPreProcessor::removeDummyEdges | ( | SubGraph & | gInputGraph, |
| EdgeOrderType & | oDummyEdges | ||
| ) |
removeDummyEdgesProcess converts maximal planar graph obtained from toMaximalPlanar() to its original graph.
This method reads a maximal planar graph (by toMaximalPlanar()), and converts it to planar graph by removing the extra edges. The extra dummy edges need to be supplied in the parameter.
| gInputGraph | graph from which dummy vertices need to be removed. |
| oDummyEdges | vector of edges that stores dummy edges that have to be removed from gInputGraph |
| LayoutException |
| void GraphPreProcessor::removeDummyVertices | ( | SubGraph & | gInputGraph, |
| VertexOrderType & | oDummyVertices, | ||
| std::vector< GraphPreProcessor::EdgePairType > & | correspondingCrossingEdge | ||
| ) |
removeDummyVerticesProcess replaces dummy vertices with corresponding crossing pair of edges.
this method reads a planar graph (which is output of layout algorithm), and converts it to non-planar graph by removing the extra vertices and edges in the supplied parameter
| gInputGraph | |
| oDummyVertices | vector of vertices that stores dummy vertices that will be removed from gInputGraph |
| correspondingCrossingEdge | vector of vector of vector (3D vector) of vertices that stores crossing edges that will replace a dummy vertex |
| LayoutException |
| void GraphPreProcessor::removeParallelEdges | ( | SubGraph & | gInputGraph, |
| EdgeOrderType & | oParallelEdgeList, | ||
| std::vector< QString > & | oParrallelEdgeIDs | ||
| ) |
removeParallelEdgesProcess
this method reads a non-planar graph, removes the parallel edges from input graph and stores them in the supplied parameter
| gInputGraph | |
| oParallelEdgeList | vector of edges that will store parallel edges that are removed from gInputGraph |
| LayoutException |
| void GraphPreProcessor::toMaximalPlanar | ( | SubGraph & | gInputGraph, |
| EdgeOrderType & | oDummyEdges | ||
| ) |
toMaximalPlanarProcess converts planar graph to maximal planar.
This method reads a planar graph, converts it to maximal planar graph by adding some extra edges, if needed, and writes the edges added in the supplied parameter.
| gInputGraph | graph which is to be made maximal planar. |
| oDummyEdges | vector of edges that will store dummy edges that will be added in gInputGraph. |
| LayoutException |
| void GraphPreProcessor::toPlanar | ( | SubGraph & | gInputGraph, |
| VertexOrderType & | oDummyVertexList, | ||
| std::vector< GraphPreProcessor::EdgePairType > & | correspondingCrossingEdgeList | ||
| ) |
toPlanarProcess converts gInputGraph to a planar graph.
This method reads a non-planar graph, converts it to planar graph by adding some extra vertices and writes the vertices added in the supplied parameter. Dummy vertex replaces each edge crossing. The process replaces crossing pair of edges by a dummy vertex and four edges connecting that dummy vertex to endpoints of crossing edges.
| gInputGraph | graph from which dummy vertices need to be removed. |
| oDummyVertices | vector of vertices that will store dummy vertices that will be added in gInputGraph |
| correspondingCrossingEdgeList | vector of vector of vector (3D vector) of vertices to store crossing edges that a dummy vertex will replace |
| LayoutException |
| void GraphPreProcessor::toPlanarAlternate | ( | SubGraph & | gInputGraph, |
| EdgeOrderType & | oNonPlanarEdges | ||
| ) |
toPlanarAlternateProcess
this method reads a non-planar graph, converts it to planar graph by removing some crossing edges and writes the edges removed in the supplied parameter
| gInputGraph | |
| oNonPlanarEdges | vector of edges that will store edges that caused crossings and will be removed from gInputGraph |
| none |


Developer
Hochiminh City, Vietnam
Skills
PHP/Joomla/PHPFox
C/ProC/Unix/Shell
C#/MVC/MVVM
Java
HTML/CSS/JavaScript/Bootstrap/jQuery/Angular
Languages
English
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Develop C#.NET Application for processing wafer.
Develop network devices, use C/Unix.
Learn ERP, develop Struts Application.
Develop PHP/Joomla/PHPFox web applications.
Learn MCSA, PHP, Android, CEH, CCNA
Learn Physics-Computer Science


We all use PCs every day, but do we know how they work? I sure don’t! So let's find out…
What’s inside of a PC? Let’s learn about its parts.
-
Case
PC needs something to cover the rest of the components.
-
Motherboard
All the other components go through here. Some important components (including CMOS) are directly connected to the motherboard.
-
Power supply
PC needs this to work!
-
CPU (Central Processing Unit)
Also called professor which makes a computer a computer. This is the heart of a PC and determines how the hardware and software perform.
-
RAM (Random Access Memory)
Helps the CPU’s performance by temporality holding information while the CPU is being processed.
-
Cooling Devises
Cools off the PC.
-
Cables
Connects the components together.
-
Graphic Components
Helps CPU process complex graphics data.
-
Ports
Places where you can plug in cables includeing , USB and Ethernet.
-
Peripherals
Monitor, keyboard, mouse, speaker, printer, etc…
-
Expansion slots
A place extra components (called cards) can go.
Starting a PC
- Push the button!
- Start button activates the power supply in the PC which sends the power to the motherboard and other components.
- The PC performs the POST(Power-On Self-Test). The POST is a small computer program within the BIOS that checks for hardware failures. A beep that you hear when you start a PC means that everything went ok, if you hear multiple beeps, something went wrong
- PC displays the status of the booting process including BIOS manufacturer and revision, professor specs, the amount of RAM installed, and the drives detected.
- The BIOS attempts to access the first sector of the drive which contains the operating system.
- The BIOS confirms there’s a bootstrap loafer, and loads that boot loader into RAM. The boot loader is a small program designed to find and launch the OS.
- Once the boot loader is in memory, the BIOS hands over its work to the boot loader, which starts loading the OS into memory.
- Once the boot loader is done with its work, the OS takes over the control of the PC.
Now That the PC is started properly, the OS can do its jobs which include…
- Processor management
- Memory management
- Device management
- Storage management
- Application interface


Problem Solving
23 Dec 2017Tell your non-tech friend a story about a time you
Actually, So far I have not been blocked by a problem. This may be because I have a little bit experience in coding, or may be I am luckly. I will list topics here, and I will come back to supplement the content of the topics when I encounter problems in the future.
- What was the problem?
- What problem solving techniques did you use?
- How did you feel throughout the process?
- What did you learn?
- Pseudocode
- Trying something
- Rubber ducky method
- Reading error messages
- Console.logging
- Googling
- Asking your peers for help
- Asking coaches for help
- Improving your process with reflection
Explain what the following functions do to a non-tech friend
.map()
Map is a built-in method of Array. What this method do is like a chef. To propare a meal, a chef needs many vegetables and meat. He or she cooks every kind of
vegetable or meat according to the recipe. In the end, She or he turned the vegetables and meat into dishes for you. Map accepts an array and processes each of these items according to a provided function,
and it will return a new array containing the results of the processing to you.
.filter()
Filter is also a built-in method of Array. It works like a fishery inspector. A fishery inspector will check the size and quantity of the fish caught by anglers to ensure that
the size and quantity of the fish meet the legal requirements. Filter accepts an array as argument and tests each of these items according to a provided function and returns an array containing the result of passing the test.
.reduce() Reduce is a built-in method of Array too. It works like a cashier. A cashier will accumulate the total amount of her on-duty, which is to add up each sum of customer consumption together. Reduce will also accumulate all items of an array and return a single result.


{% extends "base.html" %}
We track these errors automatically, but if the problem persists feel free to contact us. In the meantime, try refreshing.


THE SMUGGLER'S TOKEN.
UNTIL about the time of the close of the last French war, a large portion of the inhabitants of the south-west coast of Cornwall were in some way or other connected with the practice of smuggling. The traffic with the opposite coast was carried on principally in boats or undecked vessels. The risks encountered by their crews produced a race of hardy, fearless men, a few of whom are still living, and it has been said that the Government of those days winked at the infraction of the law, from an unwillingness to destroy so excellent a school for seamen. Recently the demand for ardent spirits has so fallen off that there is no longer an inducement to smuggle; still it is sometimes exultingly rumoured that, the "Coast Guard having been cleverly put off the scent, a cargo has been successfully run." The little coves in the Lizard promontory formed the principal trading places, the goods being taken as soon as landed to various places of concealment, whence they were withdrawn as required for disposal. About eighty years since, a boat, laden with "ankers" of spirits, was about, with its crew, to leave Mullian Cove for Newlyn. One of the farmers concerned in the venture, members of whose family are still living, was persuaded to accompany them, and entered the boat for the purpose, but, recollecting he had business at Helston, got out again, and the boat left without him. On his return from Helston, late in the evening, he sat down exclaiming, "The boat and all on board are lost ! I met the men as I passed the top of Halzaphrort (a very high cliff on the road), with their hair and clothes dripping wet !" In spite of the arguments of his friends, he persisted in his statement. The boat and crew were never more heard of and the farmer was so affected by the circumstance, that he pined and died shortly after.


Fashion
Beauty
Fashion
Beauty
Fashion
Beauty
Fashion
Beauty
Fashion
Beauty
Fashion
Beauty
The Best Photographer


please note that sqar is still in development at the moment bugs will occur
due to still being in development, sqar is not cross-browser tested and will only work on Google Chrome
try to also avoid resizing the window while playing the game
moves: 0
best: 0
audio
shadows
arrows
developed by Noah, sqar is the long-awaited (by no one) sequel to sqr.


{% extends "/html/base.html" %} {%block subtitle %}: {{page.title}}{% endblock %} {% block head %} {% include "/html/partials/video-head-videojs.html" %} {% endblock %} {% block content %}
The browser doesn't seem to support our video player... new browsers should.


Paint, play and be creative with Fingerpaint
You're browser lacks canvas support.
Icons from
Icons8
and clipart from
Clker
.


Answers to option-based review schema questions ("options" and "yesNo")
| Name | Description |
|---|---|
| peer_assignment_id | The assignment that this answer applies to |
| peer_assignment_review_schema_part_id | The part of the review schema that this answer applies to |
| peer_assignment_review_schema_part_option_id | The answer |
| peer_review_id | The review that this answer is part of |
CREATE TABLE peer_review_part_choices ( peer_assignment_id VARCHAR(50) ,peer_assignment_review_schema_part_id VARCHAR(50) ,peer_assignment_review_schema_part_option_id VARCHAR(50) ,peer_review_id VARCHAR(50) ,PRIMARY KEY (peer_assignment_id, peer_assignment_review_schema_part_id, peer_assignment_review_schema_part_option_id, peer_review_id) ,FOREIGN KEY (peer_review_id) REFERENCES peer_reviews(peer_review_id) ,FOREIGN KEY (peer_assignment_id, peer_assignment_review_schema_part_id) REFERENCES peer_assignment_review_schema_parts(peer_assignment_id, peer_assignment_review_schema_part_id) ,FOREIGN KEY (peer_assignment_id, peer_assignment_review_schema_part_id, peer_assignment_review_schema_part_option_id) REFERENCES peer_assignment_review_schema_part_options(peer_assignment_id, peer_assignment_review_schema_part_id, peer_assignment_review_schema_part_option_id) ,FOREIGN KEY (peer_assignment_id) REFERENCES peer_assignments(peer_assignment_id) );


Data structure that contains a haptic device handle and related state information.
Public Member Functions | |
| Device (cWorld *world) | |
| Constructor. More... | |
| virtual | ~Device () |
| Destructor. More... | |
Public Attributes | |
| cToolCursor * | Tool |
| Haptic device handle. More... | |
| cVector3d | Pos |
| Haptic device position. More... | |
| cVector3d | Vel |
| Haptic device velocity. More... | |
| cVector3d | Force |
| Additional force to apply to haptic device. More... | |
| double | MaxStiffness |
| Maximum stiffness allowed for this device. More... | |
| double | MaxDamping |
| Maximum damping allowed for this device. More... | |
|
inline |
|
inlinevirtual |
| cToolCursor* Device::Tool |
| cVector3d Device::Pos |
| cVector3d Device::Vel |
| cVector3d Device::Force |
| double Device::MaxStiffness |
| double Device::MaxDamping |


Note: In real life, an application would only supply input via one of these nodes, and a given visualization might not support all modes, but for a demonstration, it's useful to see them all.
Works well locally, but if Docker host is remote requires ssh access.
not loaded
Works local and remote, but there is a limit to the size of the environment, typically around 2M.
not loaded
Works local and remote, and no real size limit, but the user needs to be able to create new URLs that point to the input data.
not loaded


8 Exercises
Here we propose several exercises whose answers will have to be deliver through the Moodle. The data are in a folder called data_for_exercises
. The answers will also be available in the Moodle site.
8.1 Bioconductor
EXERCISE 1: Read PLINK data (‘obesity.bed’, ‘obesity.fam’, ‘obesity.bim’) that are available here
1. How many samples are genotyped?
2. How many SNPs are in the chromosome 10?
3. Get the SNP names available in the region chr2:134500-2300000.
4. In which chromosome is located the SNP rs1527354?
5. Get the number of individuals of each genoytpe corresponding to the SNP rs7859525. Which the homozygous normal genotype?
EXERCISE 2: Install the Bioconductor package called airway
and load the data airway
which is a SummarizedExperiment
by executing:
1. Print the object {\tt airway} and interpret the output.
2. Get the table of counts (use {\tt asssays} data) and the variables of the experiment (use {\tt colData} function).
3. Verify that {\tt SummarizedExperiment} objects check the dimension of the tables (think about the dimensions that should match).
4. Compare the number of counts of the gene ENSG00000000419 between treated and untreated cells (variable 'dex') using {\tt t.test} function.
EXERCISE 3: Recount2 provides data for different RNA-seq experiments. These includes data from GTEx or TCGA projects. We have downloaded a subset of data corresponding to breast cancer and created a variable called er
which encodes the estrogen receptor status (Negative and Positive). The SummarizedExperiment
object is called breast
and is available in the file ‘breast_tcga.Rdata’. Load the data into R and answer the next questions
1. How many samples are in the `SummarizedExperiment` object?
2. And how many genes?
3. Which is the number of samples with positive estrogen receptor status (variable `er`)?
4. Subset the individuals having Negative strogen receptor status and draw a boxplot of the first gene.
5. Create a `SummarizedExperiment` object of the genomic region chr6:151.2-151.8Mb. How many genes are in that region? How many of them are annotated? That is, how many of them have a gene symbol name? (HINT: use `rowRanges()` function and remember that `mcols()` function is used to get acccess to columns in a `GRanges` object)
EXERCISE 4: The file snpsGWAS.Rdata
contains information about 28 SNPs that were called as a significantly associated with a given disease after performing a GWAS study.
1. Load this data into R.
2. Create a data.frame with the name of the SNP, its chromosome, its position and the allele name.
3. Add another column to this data.frame with the minor allele frequency (MAF) estimated from 1000 genomes (HINT: use `listAttributes` to retrieve the name of the attribute we are interested in).
4. Annotate the variants and get the gene symbol
5. How many SNPs are located in promoter regions?
8.2 Genetic association studies
EXERCISE 5: Researchers are interested in assessing possible association between candidate SNPs and the response to treatment in patients diagnosed with major depression (file ‘DM.txt’ - NOTE: check how alleles are separated). The file also includes clinical information about other covariates of interest such as:
+ HDRS: Hamilton Depression Rating Scale (continuous variable)
+ PSICOT: Was the patient psychotic? (No and Yes)
+ MELANCOL: Was the patient melancholic? (No and Yes)
+ EPD_PREV: Number of previous episodes of depression (continuous variable)
+ RESP: Response to treatment (outcome)
Answer the following questions:
1. Is it necessary to check HWE hypothesis for this example?
2. Is there any SNP associated with the response to the treatment? If so, write a sentence interpreting the results of that association (only for one SNP)
3. Does the result change after adjusting for other clinical covariates?
4. Create a plot with the p-values only for dominant, recessive and additive models
5. Compute the p-values using MAX-statistic for all SNPs
EXERCISE 6: Researchers are now interested in assessing the effect of haplotypes on the response to treatment. Answer the following questions:
1. Which is the combination of SNPs (e.g. number of consecutive haplotypes) that is more associated with the response to treatment? (NOTE1: Try only haplotypes of length 2 up to 4)
2. Which is the most frequent haplotype?
3. Compute the OR of association and its 95\% confidence intervals between the estimate haplotypes and the response to treatment
EXERCISE 7: Researchers are now interested in creating a genetic score to predict the response to the treatment
1. Perform all the required steps to get such score and evaluate its performance using a ROC curve
8.3 GWAS
EXERCISE 8: Researchers are interested in detecting new SNPs associated with BMI (body mass index). To do so, they performed a GWAS using DNA information about 425 individuals. Genotype information is available in plink format (files ‘coronary.bed’, ‘coronary.bim’, ‘coronary.fam’) while phenotypic information can be found in the file ‘coronary.txt’.
1. Read genotypes using `snpStats` library
2. Verify that both data sets are in the same order (NOTE: 'id' variable in the file 'coronary.txt' must be used since it corresponds to the unique patient number)
3. Remove those SNPs that do not pass QC
4. Perform QC filtering of individuals
5. Assess association between BMI' and the SNPs (NOTE: remember that you are analyzing a **quantitative trait**)
6. Calculate 'lambda' and create a Q-Q plot to assess population stratification
7. Assess association between BMI' and the SNPs adjusting for population stratification (variables 'ev3' and 'ev4' in the file 'coronary.txt') (NOTE: remember that you are analyzing a **quantitative trait**). Are there differences with crude analysis?
8. Create a Manhattan plot
8.4 Microarray data analysis
EXERCISE 9: To be supplied
8.5 RNAseq data analysis
EXERICSE 10: Download the data SRP029880 from recount2: http://duffel.rail.bio/recount/v2/SRP029880/rse_gene.Rdata. This file contains a RangedSummarizedExperiment
object. Do the following tasks:
- Get the
counts
andcolData
tables. - Normalize the counts using CPM, RPKM, TPM and TMM methods.
- Create the RLE and PCA plots for each method as well as for the raw data (do not forget to log-transform the data).
- Using TPM normalized data:
- Plot a heatmap of the top 500 most variable genes. Compare with the heatmap obtained using the 100 most variable genes.
- Re-do the heatmaps setting the scale argument to
none
, andcolumn
. Compare the results withscale = 'row'
.
- Create a new variable called group by renaming the variable title as:
normal
,primary
andmetastasis
. - Perform a differential expression analysis using the variable
group
and get the list of differentially expressed genes comparingmetastasis vs normal
andprimary vs normal
. - Create two MA and volcano plots to describe the previous comparisons.
- Examine the distribution of counts for a single gene (most associated with
metastasis
). Hint: useDESeq2::plotCounts ()
- Do the same plot for the top-10 genes (this tries to mimic your supplementary material in your paper!)
- Investigate whether the analysis should be adjusted for other covariates.
- Repeat differential expression analysis accounting for unwanted variability using
RUV
andsva
packages.


I am a Computer Engineering student, passionate about coding and learning new stuff and proficient at solving really hard coding problems while maintaining best practices, and also I do Web Development for fun, as a way to pass time.
The biggest bank on Brazil, an federal institution that handles several millions of clients, I used to Internship there when I was younger, it was my first job and there i learnt the value of hard work, and developed a lot my social skills by handling andry clients and many others types of people.
A rising enterprise which has developed one of the best technologies on the brazilian market for accounting, while working on SisAudCon I learnt a lot about PHP and SQL, also I learnt a little bit about Java. I was also able to improve my self even further on my peoples skills by handling customers with little no no tech knowledge, and some with a lot of it, also one of the thing that I learnt the most about was accounting.
A Brazillian software botique, one of the biggest companies in the market, responsible for one of the only international oriented events on Brazil, "The Conf". The company specializes on using Ruby on Rails on it's developemnt, and it's sattelite technologies. My time on the job allowed for imense personal and professional growth, I'm taking with me now a lot more knowledge on patterns and good practices when developing.
Apart from being a developer, I enjoy most of my time gaming and studying about programming, trying to keep up with the latest tech as much as I can. I also tend to watch lots of TV shows and anime. More often than not I also tend to just wander about in my city, with some friends, maybe go to the movies and all that.
When forced outdoors, I usually just lay down and enjoy the sun and nature, trying to absorb what the world has to offer, there's very little more relaxing than a nap in some comfortable fields.


Understanding the emotion of a conversation using Deep Learning and NLP
Turn 1 and 3 correspond to Person 1 while Turn 2 corresponds to Person 2. EmoApp detects the emotion of Person 1.
Our LSTM based model classifies the emotion of Person 1 in 4 classes - Neutral, Happy, Angry, and Sad.


{{ _('Error 500') }}
{{ _('We did something wrong, sorry!') }} :(
{{ _("We'll try to fix it as soon as possible.") }}


MCD Vaults Tracker
#NOT FOUND
404
We can't find what you're looking for...
Unknown {{ object_name }}: {{ object_value }}


• Alarm sounds.
• Repeating alarms - repeat every x minutes for continuous reminders.
• 5 additional icons - choices of: alarm, heart, note, shopping cart, and smile.
• Notification quick shortcut - quickly create reminders from the notification tray without ever leaving your current app.
Pro + Tip: All the features of Pro plus an extra contribution to help support development.


Supplementary material for this article is available at
Fig. S1. Cycling behavior of LIB and SEB under over-charge conditions.
Fig. S2. Calendar life testing for LIB and SEB.
Fig. S3. Comparison of cell discharge performance.
Fig. S4. Optical comparison of fresh and aged electrodes.
Fig. S5. Elemental concentration of EEI layers.
Fig. S6. Discharge curves of the fresh baseline cell versus the aged cell.
Fig. S7. Comparison of C-rate discharge curves for the baseline LIB cell and the three SEB cells at room temperature.


|
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| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | |||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |
java.lang.Object | +--net.sf.saxon.query.QueryProcessor
A QueryProcessor allows the compilation of XQuery queries for subsequent execution. Compilation consists of parsing, static analysis, optimization, and creation of an internal representation of the query for subsequent evaluation.
The compilation of a query takes context information from a static context, which is represented by a StaticQueryContext object. This provides the necessary information about collations, base URI, etc.
| Constructor Summary | |
QueryProcessor(StaticQueryContext env)
Default constructor. |
| Method Summary | |
DocumentInfo |
buildDocument(javax.xml.transform.Source source)
Convenience method for building Saxon's internal representation of a source XML document. |
XQueryExpression |
compileQuery(java.io.Reader source)
Prepare an XQuery query for subsequent evaluation. |
XQueryExpression |
compileQuery(java.lang.String query)
Prepare an XQuery query for subsequent evaluation. |
Configuration |
getConfiguration()
Get the configuration used by this QueryProcessor |
StaticQueryContext |
getStaticContext()
Get the current static context |
void |
setConfiguration(Configuration config)
Set the configuration. |
void |
setStaticContext(StaticQueryContext context)
Set the static context for compiling XQuery expressions. |
| Methods inherited from class java.lang.Object |
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
| Constructor Detail |
public QueryProcessor(StaticQueryContext env)
env
- the static context for queries. Note that a StaticQueryContext object may be initialized with
context information that the query can use, but it is also modified when a query is compiled against
it: for example, namespaces, variables, and functions declared in the query prolog are registered in
the static context. Therefore, it is not a good idea to use a StaticQueryContext object to compile more
than one query.| Method Detail |
public DocumentInfo buildDocument(javax.xml.transform.Source source) throws javax.xml.transform.TransformerException
source
- Any javax.xml.transform.Source object representing the document against
which queries will be executed. Note that a Saxon DocumentInfo
(indeed any NodeInfo
)
can be used as a Source. To use a third-party DOM Document as a source, create an instance of
DOMSource
to wrap it.
For additional control over the way in which the source document is processed,
supply an AugmentedSource
object and set appropriate options on the object.
javax.xml.transform.TransformerException
public void setStaticContext(StaticQueryContext context)
public StaticQueryContext getStaticContext()
public void setConfiguration(Configuration config)
public Configuration getConfiguration()
public XQueryExpression compileQuery(java.lang.String query) throws XPathException
query
- The XQuery query to be evaluated, supplied as a string.
XPathException
- if the syntax of the expression is wrong,
or if it references namespaces, variables, or functions that have not been declared,
or contains other static errors.public XQueryExpression compileQuery(java.io.Reader source) throws XPathException, java.io.IOException
source
- A Reader giving access to the text of the XQuery query to be compiled.
XPathException
- if the syntax of the expression is wrong, or if it references namespaces,
variables, or functions that have not been declared, or any other static error is reported.
java.io.IOException
- if a failure occurs reading the supplied input.
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| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |


Lists¶
Lists group users so that users can read feeds of tweets only coming from the list’s users.
Create, Read, Update, Delete¶
var createdList = await userClient.Lists.CreateListAsync("LIST_NAME");
var list = await client.Lists.GetListAsync(createdList.Id);
var updatedList = await userClient.Lists.UpdateListAsync(new UpdateListParameters(list)
{
Name = "NEW_NAME"
});
await userClient.Lists.DestroyListAsync(list);
Get tweets from a list¶
List contains the tweets of its members. Here is how to retrieve the tweets.
var tweets = await userClient.Lists.GetTweetsFromListAsync(list);
Memberships¶
Members of a lists are users whose tweets will be part of the list feed
// Add members
var updatedList = await userClient.Lists.AddMemberToListAsync(list, "tweetinviapi");
var updatedList = await userClient.Lists.AddMembersToListAsync(list, new [] { "tweetinviapi", "twitter" });
// Check if a user is a member
var isMember = await userClient.Lists.CheckIfUserIsMemberOfListAsync(list, "tweetinviapi");
// Remove members
await userClient.Lists.RemoveMemberFromListAsync(list, "twitter");
await userClient.Lists.RemoveMembersFromListAsync(list, new [] { "twitter", "facebook" });
// Get members of a list
var members = await userClient.Lists.GetMembersOfListAsync(lists[0]);
// Get lists the authenticated user is a member of
var lists = await userClient.Lists.GetAccountListMembershipsAsync();
// Get lists a user is a member of
var lists = await userClient.Lists.GetUserListMembershipsAsync("tweetinviapi");
Subscriptions¶
Subscribers are users following a list.
// Subscribe to a list
await userClient.Lists.SubscribeToListAsync(list);
// Is Subscribed
var isSubscribed = await userClient.Lists.CheckIfUserIsSubscriberOfListAsync(list, user);
// Unsubscribe from a list
await userClient.Lists.UnsubscribeFromListAsync(list);
// Get the subscribers of a list
var subsribers = await userClient.Lists.GetListSubscribersAsync(lists[0])
// Get the lists the authenticated user is subscribed to
var accountListSubscriptions = await userClient.Lists.GetAccountListSubscriptionsAsync();
// Get the lists a user is subscribed to
var userListSubscriptions = await userClient.Lists.GetUserListSubscriptionsAsync(user);
Ownerships¶
Account can own lists that they manage.
// Get lists owned by the authenticated user
var lists = await userClient.Lists.GetListsOwnedByAccountAsync();
// Get lists owned by a specific user
var lists = await userClient.Lists.GetListsOwnedByUserAsync(authenticatedUser);


All routines in the Text unit are exported qualified (and thus must be prefaced with "Text.") with the exception of maxrow and maxcol which are exported unqualified.
| Cls | Clears the screen to the text background color. | |
| Color | Sets the text color used by put. | |
| Colour | Sets the text color used by put. | |
| ColorBack | Sets the text background color used by put. | |
| ColourBack | Sets the text background color used by put. | |
| Locate | Moves the cursor to the specified row and column. | |
| LocateXY | Moves the cursor to the cursor location closest to a specified pixel position. | |
| maxcol | The number of columns on the screen (exported unqualified). | |
| maxrow | The number of rows on the screen (exported unqualified). | |
| WhatRow | Returns the current cursor row. | |
| WhatCol | Returns the current cursor column. | |
| WhatColor | Returns the current text color. | |
| WhatColour | Returns the current text color. | |
| WhatColorBack | Returns the current text background color. | |
| WhatColourBack | Returns the current text background color. |


Quill Image Resize Module Demo
Click on the Image Below to resize
Some initial
bold
text
You need to enable JavaScript to run this app.


| Highland City Striders Running Schedule June 2018 |
| Day | Date | Time | Type | Dist | Location | Comments |
| Sat | 06/02 | 7:30AM | Run | 5m | Ghiloni Park | Off Concord Rd, Marlboro – meet at softball field |
| Sun | 06/03 | 7:30AM | Run | 6m | Guiseppe's | 35 Solomon Pond Rd, Northborough, MA 01532 |
| Sun | 06/03 | 8:00AM | Trail | | Chauncy | Meet in Parking Lot at Allen Hall on Hospital Road, Westboro |
| Sun | 06/03 | 10AM | Hills | | TBD Facebook | Long slow hills practice to prep for Mt. Wash - all are invited |
| Tue | 06/05 | 6:30PM | Hills | | Hosmer Street | Hosmer Hill repeats - park at Memorial Beach lot |
| Wed | 06/06 | 6PM'ish | Trail | | TBD | See FB page www.facebook.com/groups/highlandcitystriders/ |
| Thu | 06/07 | 6:30PM | Track | | MHS Track | Mile warmup, combo of 400s & 800s, timed mile end of month. |
| Sat | 06/09 | 8:30AM | Race | 5k | Hudson High | Trooper Thomas Clardy Memorial Run https://racewire.com/register.php?id=8980 |
| Sun | 06/10 | 7:30AM | Run | | Gates Pond | Berlin, Rt. 62, go past I-495 left onto Taylor, go to end, 2.3m loops. |
| Sun | 06/10 | 8:00AM | Trail | | Chauncy | Meet in Parking Lot at Allen Hall on Hospital Road, Westboro |
| Sun | 06/10 | 10AM | Hills | | TBD Facebook | Long slow hills practice to prep for Mt. Wash - all are invited |
| Tue | 06/12 | 6:30PM | Track | | HHS Track | Mile warmup, combo of 400s & 800s, timed mile end of month. |
| Wed | 06/13 | 6PM'ish | Trail | | TBD | See FB page www.facebook.com/groups/highlandcitystriders/ |
| Thu | 06/14 | 6:00PM | Hills | | Hudson Skate Park | Pre-Medusa Hill Loops: Walnut, Giasson, Mason (0.5 miles) |
| Thu | 06/14 | 6:30PM | Drink | 5k | Medusa | 5K Fun Run – Start on South St, beer and pizza after |
| Sat | 06/16 | 7:30AM | Run | 6m | Rail Trail | Brite Clean parking lot, up to 10K out & back course |
| Sat | 06/16 | 7:30AM | Race | 4650ft | Mt Washington | Mt. Wash Hill Climb - base of Auto Road on Route 16, between Jackson and Gorham, NH |
| Sun | 06/17 | 7:30AM | Run | 6m | McD's Rt. 85 | Marlboro McDonalds Maple St. - Southboro loops |
| Sun | 06/17 | 8:00AM | Trail | | Chauncy | Meet in Parking Lot at Allen Hall on Hospital Road, Westboro |
| Tue | 06/19 | 6:30PM | Hills | | Pembroke Hills | Park at MHS off Stevens Street. Upland Rd, right on Cullinane, right on Pembroke, right on Stevens, right on Upland (.6 mile loops) |
| Wed | 06/20 | 6PM'ish | Trail | | TBD | See FB page www.facebook.com/groups/highlandcitystriders/ |
| Thu | 06/21 | 6:30PM | Track | | MHS Track | Mile warmup, combo of 400s & 800s, timed mile end of month. |
| Sat | 06/23 | 7:30AM | Run | 5m | Ghiloni Park | Off Concord Rd, Marlboro – meet at softball field |
| Sun | 06/24 | 7:30AM | Run | | Ariba Coffee | 3 to 10 mile loops around Honey Pot Orchard |
| Sun | 06/24 | 8:00AM | Trail | | Chauncy | Meet in Parking Lot at Allen Hall on Hospital Road, Westboro |
| Tue | 06/26 | 6:30PM | Track | | HHS Track | Mile warmup, combo of 400s & 800s, timed mile end of month. |
| Wed | 06/27 | 6PM'ish | Trail | | TBD | See FB page www.facebook.com/groups/highlandcitystriders/ |
| Thu | 06/28 | 6:30PM | Hills | | Forbes | Park at Hudson High School lot on Chapin Road |
| Sat | 06/30 | 7:30AM | Run | 6m | Rail Trail | Brite Clean parking lot, up to 10K out & back course |


HTML = hypertext markup language
It is the basis for everything on the web
HTML is made up of: text content, markup, references to other docs,
and links to other pages
Markup is the part of the HTML that you don't see.
Content is what displays on a webpage
An element is everything within a set of HTML tags.
Tags communicate to the computer what type of element you are inputting
We learned the following tags:
break
bold
italics
paragraph and break
span and div
Image
Attribute and Anchor
If a tag that requires an end tag is missing one, the remainder of the text will follow the
instruction to the end of the text.
A void tag does not require an end tag.
Tags can be "inline" or "block"
A block tag creates a box around the content--needs an end tag. A box can have height and width.
You can insert images with the image tag or links with the attributes tag.
An attribute is the property of an HTML tag.


Research Interests
- NLP
- Reinforcement learning
- Agent-based modelling
- Multi-agent systems
Recent Projects
- Book reading game
- Imitation through observation
Consulting
I offer consulting involving the following topics
- Data analysis with Pandas
- Deep learning with PyTorch
- NLP
- Reinforcement learning theory & basics
- Agent-based simulations


Grade Averager
Input Grades
/
Input Next Grade
Done
How many points is the assignment worth? (ex "100")
What class/total grade do you want? (ex. "99")
.................OR..................
What assignment grade to test?
See Potential Grade
Reset


Currently attending to the GeeksHubs Academy FullStack Developer Program in an intensive 3 months bootcamp.
I have worked with various programming tools and languages.
Developed and managed CMS's digital content with platforms such as
Wordpress - Joomla for over 2 years in the public administration in Quart de Poblet.
During that time i also had the chance to work in international private projects
and "ad hoc" virtual machines for user qeues managment.
I had also worked in a Private Social Network Platform based on Ruby On Rails


'Laundry List of Nothingness': Netizens Weigh in on Alyssa Milano's 'Nine Reasons to Impeach Trump'
by by Svetlana EkimenkoThe US House of Representatives adopted a resolution on 31 October outlining a set of ground rules for the Democrat-led impeachment inquiry into President Donald Trump, calling for public hearings and the release of transcripts from a series of closed-door hearings prior to Thursday’s vote.
Actress and activist Alyssa Milano on Friday listed nine reasons why she thought Donald Trump should be impeached, in response to the US President’s tweet on the same day that read:
“You can’t Impeach someone who hasn’t done anything wrong!”
In response, the Charmed actress, who is a staunch political opponent of Trump, assembled a laundry list of his purported wrongdoings, that reads as follows:
- Obstructing Justice
- Violation of the Emoluments Clause
- Collusion
- Advocating political violence
- Abuse of power
- Persecuting political opponents
- Attacking the free press
- Violating due process for immigrants
- Quid pro quo with Ukraine
Most alleged wrongdoings have been debunked, particularly her claim of “collusion”.
In April 2019, US special counsel Robert Mueller published a final report on his two-year long inquiry, concluding that there was no evidence of collusion between US President Donald Trump and Russia during the 2016 presidential campaign, and he did not make a determination on “obstruction of justice”.
As anticipated, Milano’s tweet sparked a backlash on social media as many promptly debunked her list of Donald Trump's alleged wrongdoings in their tweets:
There were those who supported the actress and applauded her move:
House Adopts Resolution on Impeachment Procedures
Milano’s list of alleged Trump wrongdoings comes after the US House adopted on 31 October a set of rules which outline how the impeachment procedures launched by the Democrats targeting President Donald Trump will be carried out going forward.
The adoption of the resolution was the Democrats' response to accusations of a lack of transparency in their probe.
Should the House successfully vote to eventually impeach the president, it would trigger a trial in the Republican-led Senate that would require votes from at least 20 Republicans and all Democrats to remove Trump from office.
President Donald Trump has repeatedly insisted he has not committed any impeachable crimes, denouncing the procedure as "a witch hunt".


Before block A (old)After block A (old)Before block B
Now we have block B (unaffected)
After block B Before new block APrepended to block A?
Alright?
This is the new block A
Appended to block A ... cool?
Yes?
Appended to block A ... really cool?
No?


§657-32 How computed. If the right first accrued to any ancestor or predecessor of the person bringing the action or making the entry, or to any persons from, by, or under whom the person bringing the action or making the entry claims, the twenty years shall be computed from the time when the right first accrued to the ancestor, predecessor, or other persons. [L 1870, c 22, §2; am L 1898, c 19, §2; RL 1925, §2658; RL 1935, §3929; RL 1945, §10440; RL 1955, §241-31; HRS §657-32; am L 1979, c 105, §61; am L 2016, c 55, §34]
Case Notes
Cited: 19 H. 602, 605 (1909).


{% extends "base.html" %} {% block content %}
Python LauncherWelcome to the DocuSign Rooms Python examples using multiple OAuth flows (JWT and Authorization Code Grant). |
This launcher includes the following examples for the DocuSign Rooms API.
{% if show_doc %}Documentation on using JWT or Authorization Code Grant from a Python Flask application.
{% endif %}This example demonstrates creating a DocuSign Room.
API methods used: Rooms::CreateRoom and Roles::GetRoles
This example demonstrates creating a DocuSign Room using a predefined template.
API methods used: Rooms::CreateRoom, RoomTemplates::GetRoomTemplates and Roles::GetRoles
This example demonstrates how to export rooms data from a DocuSign Room.
API methods used: Rooms::GetRooms and Rooms::GetRoomFieldData
This example demonstrates how to attach forms to a DocuSign Room.
API methods used: Rooms::GetRooms, Forms::GetFormLibraries, Forms::GetFormLibraryForms and Rooms::AddFormToRoom
This example demonstrates how to return rooms that have had their field data,
updated within the certain time period.
API method used: Rooms::GetRooms
This example demonstrates how to create an external form fill session.
API methods used: Rooms::GetRooms, Rooms::GetDocuments and Forms::CreateExternalFormFillSession


%= require('html-loader!./common/head.html') %>
This privacy policy has been compiled to better serve those who are concerned with how their 'Personally Identifiable Information' (PII) is being used online. PII, as described in US privacy law and information security, is information that can be used on its own or with other information to identify, contact, or locate a single person, or to identify an individual in context. Please read our privacy policy carefully to get a clear understanding of how we collect, use, protect or otherwise handle your Personally Identifiable Information in accordance with our website.
What personal information do we collect from the people that visit our blog, website or app?
When ordering or registering on our site, as appropriate, you may be asked to enter your email address, credit card information or other details to help you with your experience.
When do we collect information?
We collect information from you when you register on our site, place an order, subscribe to a newsletter or enter information on our site.
How do we use your information?
We may use the information we collect from you when you register, make a purchase, sign up for our newsletter, respond to a survey or marketing communication, surf the website, or use certain other site features in the following ways:
• To improve our website in order to better serve you.
• To allow us to better service you in responding to your customer service requests.
• To quickly process your transactions.
• To ask for ratings and reviews of services or products
How do we protect your information?
Our website is scanned on a regular basis for security holes and known vulnerabilities in order to make your visit to our site as safe as possible.
We use regular Malware Scanning.
Your personal information is contained behind secured networks and is only accessible by a limited number of persons who have special access rights to such systems, and are required to keep the information confidential. In addition, all sensitive/credit information you supply is encrypted via Secure Socket Layer (SSL) technology.
We implement a variety of security measures when a user places an order enters, submits, or accesses their information to maintain the safety of your personal information.
All transactions are processed through a gateway provider and are not stored or processed on our servers.
Do we use 'cookies'?
Yes. Cookies are small files that a site or its service provider transfers to your computer's hard drive through your Web browser (if you allow) that enables the site's or service provider's systems to recognize your browser and capture and remember certain information. For instance, we use cookies to help us remember and process the items in your shopping cart. They are also used to help us understand your preferences based on previous or current site activity, which enables us to provide you with improved services. We also use cookies to help us compile aggregate data about site traffic and site interaction so that we can offer better site experiences and tools in the future.
We use cookies to:
• Help remember and process the items in the shopping cart.
• Understand and save user's preferences for future visits.
• Compile aggregate data about site traffic and site interactions in order to offer better site experiences and tools in the future. We may also use trusted third-party services that track this information on our behalf.
You can choose to have your computer warn you each time a cookie is being sent, or you can choose to turn off all cookies. You do this through your browser settings. Since browser is a little different, look at your browser's Help Menu to learn the correct way to modify your cookies.
If you turn cookies off, It won't affect the user's experience .
Third-party disclosure
We do not sell, trade, or otherwise transfer to outside parties your Personally Identifiable Information unless we provide users with advance notice. This does not include website hosting partners and other parties who assist us in operating our website, conducting our business, or serving our users, so long as those parties agree to keep this information confidential. We may also release information when it's release is appropriate to comply with the law, enforce our site policies, or protect ours or others' rights, property or safety.
However, non-personally identifiable visitor information may be provided to other parties for marketing, advertising, or other uses.
Third-party links
Occasionally, at our discretion, we may include or offer third-party products or services on our website. These third-party sites have separate and independent privacy policies. We therefore have no responsibility or liability for the content and activities of these linked sites. Nonetheless, we seek to protect the integrity of our site and welcome any feedback about these sites.
Google's advertising requirements can be summed up by Google's Advertising Principles. They are put in place to provide a positive experience for users. https://support.google.com/adwordspolicy/answer/1316548?hl=en
Google, as a third-party vendor, uses cookies to serve ads on our site. Google's use of the DART cookie enables it to serve ads to our users based on previous visits to our site and other sites on the Internet. Users may opt-out of the use of the DART cookie by visiting the Google Ad and Content Network privacy policy.
We have implemented the following:
We, along with third-party vendors such as Google use first-party cookies (such as the Google Analytics cookies) and third-party cookies (such as the DoubleClick cookie) or other third-party identifiers together to compile data regarding user interactions with ad impressions and other ad service functions as they relate to our website.
Opting out:
Users can set preferences for how Google advertises to you using the Google Ad Settings page. Alternatively, you can opt out by visiting the Network Advertising Initiative Opt Out page or by using the Google Analytics Opt Out Browser add on.
According to CalOPPA, we agree to the following:
Users can visit our site anonymously. Once this privacy policy is created, we will add a link to it on our home page or as a minimum, on the first significant page after entering our website. Our Privacy Policy link includes the word 'Privacy' and can easily be found on the page specified above.
You will be notified of any Privacy Policy changes:
• On our Privacy Policy Page
Can change your personal information:
• By emailing us
How does our site handle Do Not Track signals?
We honor Do Not Track signals and Do Not Track, plant cookies, or use advertising when a Do Not Track (DNT) browser mechanism is in place.
COPPA (Children Online Privacy Protection Act)
When it comes to the collection of personal information from children under the age of 13 years old, the Children's Online Privacy Protection Act (COPPA) puts parents in control. The Federal Trade Commission, United States' consumer protection agency, enforces the COPPA Rule, which spells out what operators of websites and online services must do to protect children's privacy and safety online. We do not specifically market to children under the age of 13 years old.
CAN SPAM Act
The CAN-SPAM Act is a law that sets the rules for commercial email, establishes requirements for commercial messages, gives recipients the right to have emails stopped from being sent to them, and spells out tough penalties for violations.
We collect your email address in order to:
• Send information, respond to inquiries, and/or other requests or questions
• Process orders and to send information and updates pertaining to orders.
• Send you additional information related to your product and/or service
• Market to our mailing list or continue to send emails to our clients after the original transaction has occurred.
To be in accordance with CANSPAM, we agree to the following:
• Not use false or misleading subjects or email addresses.
• Identify the message as an advertisement in some reasonable way.
• Include the physical address of our business or site headquarters.
• Monitor third-party email marketing services for compliance, if one is used.
• Honor opt-out/unsubscribe requests quickly.
• Allow users to unsubscribe by using the link at the bottom of each email.
If at any time you would like to unsubscribe from receiving future emails, you can email us at
<EMAIL_ADDRESS>and we will promptly remove you from ALL correspondence.
Contacting Us
If there are any questions regarding this privacy policy, you may contact us using the information below.
bitcoinalert.io
331 Victoria Street
Greensburg, Louisiana 70441
United States
<EMAIL_ADDRESS>225-222-7180
Last Edited on 2018-05-01


Budweiser Launches A Hard Seltzer Brand
by Liza B. ZimmermanHard seltzers have been tearing it up these days. They are portable, low-alcohol and appeal to millennials, the most elusive generation for spirits marketers. Massive shortages of White Claw have been reported across the country, as new brands are eager to jump onto the market.One of the country’s biggest beer producers, Budweiser of the Clydesdales’ fame, has even just launched its own, new brand. Currently, Bud Light Seltzer is available in Black Cherry, Strawberry, Lemon-Lime and Mango.
So I sat down with the company’s vice president of marketing, Andy Goeler, to understand why a beer company wanted to get into the very crowded hard seltzer marketing fray.
All responses have been edited for length and clarity.
Liza B. Zimmerman (LBZ): Why did a beer company decide to get in the seltzer game?
Andy Goeler (AG): Anheuser-Busch has been in the seltzer game for some time. Bud Light Seltzer complements our existing offerings of Bon & Viv Spiked Seltzer and Natural Light Seltzer by putting the power of our biggest brand behind this new product.
Hard seltzer is bringing consumers back to the beer category. Expanding our hard seltzer portfolio with Bud Light Seltzer and the power of our distribution network will only help the category grow which is great for beer overall.
LBZ: How did you choose the flavors?
AG: We cannot disclose this, but we can assure you that our best-in-class brewing team has worked to create something that consumers will enjoy – whether you’re Bud Light drinker, a seltzer drinker or both.
Our brewing team created the perfect hard seltzer for any occasion using a unique, five-step filtration process and the highest quality ingredients like sparkling water, real cane sugar and natural fruit flavor.
LBZ: Who is your consumer demographic?
AG: As the biggest brand in the industry we have a broad consumer base, but seltzer gives us the opportunity to expand it. If you like Bud Light, and even if you don’t, we think you’ll like this seltzer.
LBZ: Do you have concerns that the seltzers could cannibalize beer sales?
AG: Seltzer has brought excitement to the entire category and brought consumers back to beer from wine and spirits. We are looking forward to leveraging the power of the Bud Light brand to help grow the category.
LBZ: How are your seltzers different?
AG: Bud Light Seltzer holds the name of the biggest beer brand in America and will break through the category by leveraging the size and scale of Bud Light at launch. For those anytime, easy-drinking occasions, we’d put it up against any other seltzer out there.
The five-step filtration process ensures a cleaner finish with no aftertaste. Our simple ingredients create a light and bubbly seltzer.
LBZ: Will the launch be national?
AG: Yes. Bud Light Seltzer is available wherever Bud Light is sold nationally.
LBZ: How much do you expect to sell in the first year?
AG: We cannot disclose this.
LBZ: It is basically a product for the off-premise?
AG: No.


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