|
AGL
0
3D graphics library
|
Functions | |
| void | normalizeVertices (Entity &e, float t=1) |
| Normalize all vertices of e. More... | |
| void | subdivideFaces (Entity &e) |
| Subdivide all faces of e. More... | |
| void | calcNormals (Entity &e, bool perFace=false) |
| Calculates the normals for the Entity algorithmically. More... | |
| void | calcTextureCoords (Entity &e, glm::vec3 px=glm::vec3(.5, 0,.5), glm::vec3 py=glm::vec3(.5,.5, 0), bool normalize=false) |
| Calculates texture coordinates for the Entity algorithmically. More... | |
| std::vector< GLuint > | triangulatePolygon (const std::vector< GLuint > &polygon) |
| Triangulates polygons with 3+ vertices. More... | |
These are utility functions that can be used on Entity or the shapes. These functions will modify the Entity they take in as parameter instead of returning a new Entity.
| void calcNormals | ( | Entity & | e, |
| bool | perFace = false |
||
| ) |
Calculates the normals for the Entity algorithmically.
| e | Entity to calculate the normals for. |
| perFace | If true , normals are calculated for each face, instead of each vertex. Currently unused. |
This function calculates the normals for each vertex of e. The normals are pointed radially outwards from the geometric center of the entity. Geometric center is calculated simply by averaging all the vertices.
| void calcTextureCoords | ( | Entity & | e, |
| glm::vec3 | px = glm::vec3(.5, 0,.5) , |
||
| glm::vec3 | py = glm::vec3(.5,.5, 0) , |
||
| bool | normalize = false |
||
| ) |
Calculates texture coordinates for the Entity algorithmically.
| e | Entity to calculate the Entity::uvs for. |
| px | Parameter for x coordinate of texture. |
| py | Parameter for y coordinate of texture. |
| normalize | If true , the coordinates are scaled to range from 0 to 1. |
This function calculates the texture coordinates for e automatically. The coordinates may not be what you expect, but are promised to be continuous. The coordinate for each vertex is generated by calculating the dot product of the vertex with the respective parameter. The default parameters works almost well to generate non-repetitive and smooth coordinates for vertices ranging between 0 to 1.
| void normalizeVertices | ( | Entity & | e, |
| float | t = 1 |
||
| ) |
Normalize all vertices of e.
| e | Entity to normalize vertices. |
| t | Amount of normalization. |
This function normalizes all the vertices of an Entity, it projects all the vertices on the surface of a unit sphere centered at the origin. The value of t defines the amount of normalization. 0 means no normalization, ie. the vertices will remain at their original position. 1 means complete normalization, ie. the vertices will be completely mapped on the surface of a unit sphere. For example, a value of 0.5 will bring all the vertices halfway to the surface of a unit sphere.
| void subdivideFaces | ( | Entity & | e | ) |
Subdivide all faces of e.
| e | The entity whose faces will be normalized. |
This function will insert a new vertex at the center of each of the edges of the entity. It'll then join the three vertices at the center of each of the edges of each of the triangular faces, thereby dividing each face into four face. This way more vertex and faces are introduced, which can later be modified for a smoother surface.
| std::vector< GLuint > triangulatePolygon | ( | const std::vector< GLuint > & | polygon | ) |
Triangulates polygons with 3+ vertices.
| polygon | Indices to triangulate. |
This function is used to triangulate non-triangular faces. This is different from a normal triangulation algorithm. This function do not require the actual vertices as it does not introduce new vertices. It just rearranges and copies the indices forming the faces (polygons) such that each triplet represents a non-overlapping triangle. This also means that this algorithm will fail for non-convex polygons. The algorithm tries to equally distribute the vertices among different faces to reduce crowding of edges. It also preserves the orientation of the face vertices in the new triangular faces.


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Bachelor of Science in Hospitality Studies is a 3-year full time graduation course, the eligibility for which is a Higher Secondary Certificate (10+2) qualification with a minimum of 50% marks in any stream. The program is spread over 3 years, divided into 6 semesters of six months each. Admission to the course in various recognized universities is based on entrance tests held followed by an interview, besides taking the 12th marks into consideration, to judge the eligibility of the candidate seeking admission. The course is best suited for those who are seeking a career in the hospitality and services sector. A hospitality studies student will be taught the process of dealing in reception and treatment of guests. The program offers vast opportunities in the travel and tourism sector, hospitality and services sector, and general management as it offers a comprehensive study focused on the management of food, beverage, and accommodation of guests. A degree in hospitality studies will allow you to deal with such matters from both a technical and operative context. Such graduates may be hired as Hospitality Executive, Catering Officer, Manager& Supervisor, Cabin Crew Hostess/Host, Field Supervisor, Marketing Manager, Catering Supervisor & Assistant, Manager and/or Supervisor, etc. They may be hired in fields such as the Tourism Industry, Hotels/Restaurants, Airlines, Cruise Ships, Tourism Industry, Retail Industry, Colleges/Universities, etc. The average full time fee charged for the course in India ranges between INR 60,000 to INR 5.10 lacs, and the average salary offered to such professionals’ ranges between INR 2 lacs to 15 lacs per annum, increasing with experience and expertise.
B.Sc. in Hospitality Studies: Course Highlights
Course Level- Graduation Duration- 3 years Examination Type- Semester System Eligibility -50% marks in HSC exams Admission Process- Based on HSC marks. Some reputed institutions may conduct their own entrance tests. Course Fee -INR 60,000 to INR 5.1 Lacs Average Starting Salary -INR 2 lacs to INR 15 lacs per annum Job Positions -Hospitality Executive, Catering Officer, Manager & Supervisor, Cabin Crew Hostess/Host, Field Supervisor, Marketing Manager, Catering Supervisor & Assistant, Manager and/or Supervisor, etc. Top Recruiting Companies- Tourism Industry, Hotels/Restaurants, Airlines, Cruise Ships, Tourism Industry, Retail Industry, Colleges/Universities, etc.
B.Sc. in Hospitality Studies: What is it about?
This hospitality management degree has been designed to offer to eligible students the knowledge of management of food, beverage, and accommodation along with general management. It will help the candidates to get the technical and operational perspectives required for functioning in the hospitality and services sector. The program encompasses marketing, financial management, human resource management besides also focussing on honing the communication skills of the candidates. The course also provides a comprehensive and in-depth laboratory work for students to gain the knowledge and the required skill standards for functioning of the core departments of any hotel related to food and beverage production and management, catering operations, general management, human resource management, finance management, tourism marketing, among others. The said course, in its final semesters, will require the candidates to demonstrate their computer skills to address management challenges in the fields of marketing, cost control, and human resource management, all of which are included in the course syllabus; guest service skills; apply tools to monitor the management and functioning of day-to-day services of lodging and/or food service business. The candidate must also, by then, possess, proper sanitation, food safety procedures and methods, appropriate use of common kitchen and dining room management.
Top institutes offering B.Sc. in Hospitality Studies:
Name of Institute -City -Average Fees in INR ,UEI Global- Agra- 1.87 lakhs ,Apeejay Institute of Hospitality -Navi Mumbai- 1.5 lakhs ,TeamLease Skills University- Vadodara -1.5 lakhs ,C.T. Group Of Institutions -Jalandhar -1.5 lakhs ,JECRC UniversityJaipur -1.9 lakhs ,Lovely Professional University -Jalandhar- 2.67 lakhs ,Singhad Hotel Managemet and Catering Technology -Lonavla -1.52 lakhs ,La Sphere Hotel Management School- Mumbai -2.55 lakhs ,Amro College of Hotel Management -Nashik -1.8 lakhs ,Dr. D.Y. Patil Institute of Hotel Management and Catering Technology- Pune- 1.52 lakhs Camp Education Society’s Dr. B. Telang Institute of Hotel Management- Pune- 60,000
Eligibility for B.Sc. in Hospitality Studies
Candidates wishing to apply for the course need to have passed their Higher Secondary Certificate with a minimum of 50% marks in any stream, from a recognized board. After application, some colleges/institutes may hold an entrance test followed by an interview to judge the eligibility of the candidate for the course. Top General Colleges In Maharashtra Top General Colleges In Uttar Pradesh Top General Colleges In Karnataka Top General Colleges In Punjab B.Sc. in Hospitality Studies: Admission Process Most institutes offering the course admit the students based on their performance in their HSC exam in any stream. Some institutes conduct their own entrance tests for offering admission. Admission process generally varies across colleges. A few institutes also provide direct admission based on the candidate’s performance in his/her HSC exams.
B.Sc. in Hospitality Studies: Who should Opt?
The program, with studies concentrating on marketing, human resources, and financial management, will equip the candidate to build a strong base before they seek for a professional career in the hospitality and services sector. The candidates who have analytical, critical ,and problem-solving skills along with computer skills to create and present data bases and spread sheets will benefit the most from this course. The person must also have the flexibility, will, and the qualities required to work with a team or lead a team. Hospitality majorly involves dealing with guests, and so, the person must possess an amiable personality, friendly yet professional way of approaching the guests, ability to solve problems rationally, and sharp leadership skills. Such graduates, trained and educated in accountancy, cost control, and management are adept to be managers and supervisors with their sharpened skills of communication and the ability to host and treat guests in an amiable manner. In the process of such training, the students also get the opportunity to sharpen their analytical, critical and problem-solving skills which will again help them sustain in the travel and tourism, hospitality and services sector.
B.Sc. in Hospitality Studies: Syllabus and Course Description
A semester-wise breakup of the course’s syllabus is tabulated here. Semester 1 and Semester 2, Food Production and Patisserie I, Food Production and Patisserie II Food and Beverage Service I ,Food and Beverage Service II Front Office I, Front Office II Housekeeping I ,Housekeeping II Rooms Division (Practical) I ,Rooms Division (Practical) II Communication Skills (English and French) I, Communication Skills (English and French) II Information Technology ,Principle of Hotel Accountancy Food, Safety and Nutrition ,Principles of Management
Semester 3 and Semester 4 Industrial Exposure Training, Food Production and Patisserie III , Food and Beverage Service III , Front Office III , Housekeeping III , Rooms Division (Practical) III , Hotel Accountancy and Cost Control , Hospitality Law and Human resource Management , Management Information System in Hospitality Industry
Semester 5 -Semester 6 ,Food Production and Patisserie IV- Food Production and Patisserie V ,Food and Beverage Management I -Food and Beverage Management II ,Front Office IV -Front Office V ,Housekeeping IV -Housekeeping V ,Rooms Division (Practical) IV- Entrepreneur and Enterprise Management ,Hospitality marketing and Strategic Management For Hospitality Industry Organisation Behaviour ,Environmental Studies -Core Elective Financial Management -Allied Elective
B.Sc. in Hospitality Studies: Career Prospects
This course caters to the students who seek a career in hospitality and services sector, travel and tourism sector. Since, it educates and teaches the students how to tackle analytical situational, and critical problems, the candidates develop a keen sense of problem-solving which is a mandatory pre-requisite for all the different job positions that may be offered to such a graduate. , The ever-expanding travel and tourism and hospitality sector is always looking for fresh ideas, young, hard-working people and is not just bound to the limitations of the national and/or the local. , The course provides global exposure to the graduates in travel and tourism sector, reputed hotel chains, cabin crew of airlines all around the world, cruise ships, retail industry, and the likes. , Such graduates may either look for jobs in the field or pursue further education. They may opt for a Master of Science degree in the field or specialise in any other hospitality related field. The plurality and the diversity of the subjects involved in the course open a new horizon of possibilities for the candidates. , Such graduates may work as Catering Officer, Manager/Host, Staff Supervisor, Marketing Manager, Front Desk Executive, Catering Supervisor and Assistant, Cabin Crew Hostess/Host, etc., ,Some of the popular professional avenues open to successful graduates of the course are listed below with the corresponding salaries offered for the respective positions.
Bachelor of Science in Hospitality Studies annual salary
Job Position -Job Description Average Annual Salary in INR ,Hospitality Executive -They possess team-leading qualities and problem-solving skills in order to oversee the functioning of hotels and restaurants. 6.4 lacs ,Catering Officer- They are responsible for leading the chef team and catering assistants, running the day-to-day operations of resorts, hotels, and restaurants besides overseeing the quality of food. 4.5 lacs ,Hotel Manager - They manage and lead the staff, co-ordinating the hotel services which include food and beverage service, accommodation, among others. 9.45 lacs ,Field Supervisor- They supervise activities on field and ensure quality service. 2.06 lacs ,Marketing Manager- They are responsible for development of a marketing scheme which is in tandem with the company’s objectives, co-ordinating such activities, etc. 12.61 lacs Cabin Crew Hostess/Host- They are responsible for providing excellent service to the on-board passengers while also ensuring their comfort and safety on flight. 5.28 lacs


#WE EXPRESSLY DISCLAIM ANY LIABILITY WHATSOEVER FOR ANY DIRECT,
#INDIRECT, CONSEQUENTIAL, INCIDENTAL OR SPECIAL DAMAGES,
#INCLUDING, WITHOUT LIMITATION, LOST REVENUES, LOST PROFITS,
#LOSSES RESULTING FROM BUSINESS INTERRUPTION OR LOSS OF DATA,
#REGARDLESS OF THE FORM OF ACTION OR LEGAL THEORY UNDER
#WHICH THE LIABILITY MAY BE ASSERTED,
#EVEN IF ADVISED OF THE POSSIBILITY OR LIKELIHOOD OF SUCH DAMAGES.
#---------------------------------------------------------------------------
#
# these batch scripts are kept as eval, if they fail they print their problems
# onto the status web page
print STDOUT "Content-Type: text/html; charset=utf-8\n\n";
my $data = join( '', <DATA> );
eval $data;
if ($@) {
print $@;
exit 1;
}
__END__
# --- start of main script ---#
use strict;
use Net::POP3;
use lib '../../../lib';
use Ccconfiguration;
use Ccmailgateway;
use Cclitedb;
use Cclite ;
use Ccinterfaces;
use Cccookie;
use Ccu;
use Ccsecure ;
BEGIN {
use CGI::Carp qw(fatalsToBrowser set_message);
set_message(
"Please use the Cclite Google Group for help, if necessary"
);
}
my %configuration = readconfiguration();
# message language now decided by decide_language, within readmessages 08/2011
our %messages = readmessages();
# for cron, replace these with hardcoded registry name and removed is_admin test
my $hardcoded_registry = '' ;
my %fields = cgiparse();
my $cookieref = get_cookie();
my $registry = $hardcoded_registry || $$cookieref{registry};
#FIXME: needs slightly higher barrier than this...
if (!length($registry) ) {
print 'no registry defined' ;
exit 0 ;
}
if (! is_admin) {
print "Content-Type: text/html; charset=utf-8\n\n";
print $messages{'notadmin'} ;
exit 0 ;
}
# read the current registry to pick up per-registry email values
my ($class,$token) ;
my ( $error, $registryref ) =
get_where( $class, $registry, 'om_registry','*', 'name', $registry, $token, '',
'' );
if (length($error) ) {
log_entry($class, $registry,'fatal',"database error for $registry: $error",$token) ;
exit 0 ;
}
# message language now decided by decide_language 08/2011
our %messages = readmessages();
my $username = $registryref->{postemail};
my $password = $registryref->{postpass};
my $host = $username;
my $count = 0 ;
# get the domain part as postbox...
$host =~ s/^(.*?)\@(.*)$/$2/;
my $pop = Net::POP3->new( $host, Timeout => 60, Debug => 0 );
if ( $pop->login( $username, $password ) > 0 ) {
my $msgnums = $pop->list; # hashref of msgnum => size
foreach my $msgnum ( keys %$msgnums ) {
my $msg = $pop->get($msgnum);
my ( $from, $to, $subject, $parse_type, $transaction_description_ref ) ;
# make a message object
my $output_message;
foreach my $part (@$msg) {
if ( $part =~ /From:\s.*?\W([\.-\w]+@([-\w]+\.)+[A-Za-z]{2,4})\W/ )
{
$from = $1;
} elsif ( $part =~ /To:\s.*?\W([^@]+@([-\w]+\.)+[A-Za-z]{2,4})\W/ )
{
$to = $1;
# want the send line but not twice if multipart/alternate, so reject if html fragments
} elsif ( $part =~ /(send.*?)/i && $part !~ /\</ ) {
( $parse_type, $transaction_description_ref ) =
mail_message_parse( 'local', $registry, $from, $to, $subject, $part );
# add 'via email' literal to description of transaction
$transaction_description_ref->{'description'} = "$messages{'viaemail'} " . $transaction_description_ref->{'description'} ;
if ( !length( $transaction_description_ref->{error} ) ) {
$output_message =
mail_transaction($transaction_description_ref);
} else {
$output_message = $transaction_description_ref->{error};
} # endif parsed body of message
} elsif ( $part =~ /Subject:\s+(\S.*)/ ) {
$subject = $1;
} #endif for message parse
} # end foreach of message parse all bits consumed
my ($accountname, $smtp) ;
notify_by_mail( 'local', $registry, $transaction_description_ref->{name},
$transaction_description_ref->{from}, $transaction_description_ref->{from}, $transaction_description_ref->{from},
$transaction_description_ref->{source}, $smtp, '',
$output_message, 5,'' );
# reference to the current signature for notify...
# $class, $registry, $name,
# $email, $systemfrom, $return_address,
# $accountname, $smtp, $urlstring,
# $text, $notificationtype, $hash
$count++ ;
$pop->delete($msgnum);
} #end foreach of all messages
} # endif pop login
$pop->quit;
# print into management status area, if at least one message was processed...
print "processed $count transactions" if ($count > 0);
exit 0 ;


Databases
Developed an understanding of relational
database systems, their modelling, optimizations and querying.
SQL (Basic, T-SQL, PL/SQL):
Stored Procedures:
Triggers:
NoSQL:
Web Development
Implemented basic web development tools
for developing this website and developing
skillset for full stack web development.
HTML:
CSS:
JavaScript:
jQuery:
Bootstrap:
PHP:
SEO:
Web Analytics:
Collaborative Development
Realizing the need of integrated development
for turning collaborative projects into a success,
I am currently working on developing an
understanding in this aspect.
Software Development Life Cycle:
Agile Software Development:
Project Management:
Presentation
Since documenting the available content is
equally important as presenting the content,
these skills are developed through various
presentations and project documentation.
Microsoft Office:
LATEX:
SharePoint:
Soft Skills
Soft skills is a continously evolving skillset.
Thus, though I possess the following basic skillset, I am
still working on making it better and developing new skills.
Collaboration:
Creative Thinking:
Effective Communication:
Punctual & Reliable:


WEBSITE CURRENTLY UNDER CONSTRUCTION
Research-based STEM Education Solutions for You
Evaluation
Have a project or submitting a proposal where you need an advisory committee or external evaluators? Do you need people for your program review? We have experience with evaluating classroom reforms and programs using qualitative, quantitative, and hybrid research methods. We have worked with reformed laboratory and discussion sessions, lecture courses, small and large STEM studio classes, online instruction, social networking, and classroom management systems. We will make site visits and observe your classes to provide formative and summative assessments of your project or program.
Professional Development Workshops
We offer a wide-ranging array of workshops we can bring to you ranging from an overview or active-learning approaches to designing your own active-learning activities to converting to upside pedagogies such as SCALE-UP. In addition we can offer workshops on how to keep your evaluations from dropping while you are innovating as well as workshop on how to write and publish in American STEM Education research channels
Curriculum Development
Let us help you bring more active-learning (hand-on/minds-on) activities to your classroom. Our specialists have over 50 years of experience in active-learning in a wide-range of STEM fields ranging from interactive lecture and labs to integrated lecture and lab with minimal lecturing in SCALE-UP rooms. We have worked with faculty with large and small classes. We work with your learning objectives and your constraints to develop active-learning activities for your classroom.
Coming to social media near you soon.


Lab de IBM Kubernetes Services (IKS)
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function TestClip(var A: Integer; var B: Integer; const Size: Integer): Boolean; overload;
function TestClip(var A: Integer; var B: Integer; const Start: Integer; const Stop: Integer): Boolean; overload;
First version: Exchange A <-> B only if B < A, then restrict both to [0..Size-1] range. Returns true if resulting range has common points with [0..Size-1] range.
Second version: Exchange A <-> B only if B < A, then restrict both to [Start..Stop-1] range. Returns true if resulting range has common points with [Start..Stop-1] range.


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| PREV NEXT | FRAMES NO FRAMES |
| Packages that use ontopoly.components | |
|---|---|
| ontopoly.components | |
| ontopoly.fileupload | |
| ontopoly.pages |
| Classes in ontopoly.components used by ontopoly.components | |
|---|---|
| AbstractBookmarkablePageLink
HACK: Had to make a copy of org.apache.wicket.markup.html.link.BookmarkablePageLink because the getPageClass() method was final. |
|
| AbstractFieldInstancePanel
|
|
| AbstractFieldInstancePanel.AbstractFieldInstanceMessage
|
|
| AjaxParentFormChoiceComponentUpdatingBehavior
This is variant of AjaxFormChoiceComponentUpdatingBehavior that allows nested AjaxParentRadioChild and AjaxParentCheckChild instances to update the parent RadioGroup or CheckGroup. |
|
| ConfirmDeletePanel
|
|
| CustomLinkFunctionBoxPanel
|
|
| FieldInstanceAssociationBinaryPanel
|
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| FieldInstanceAssociationNaryPanel
|
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| FieldInstanceQueryPanel
|
|
| FunctionBoxPanel
|
|
| HeaderPanel
|
|
| LinkFunctionBoxPanel
|
|
| MenuPanel
|
|
| OntopolyImageLink
|
|
| TopicLink
|
| Classes in ontopoly.components used by ontopoly.fileupload | |
|---|---|
| FieldInstanceImageField
|
| Classes in ontopoly.components used by ontopoly.pages | |
|---|---|
| InstancePanel
|
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| TreePanel
|
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| PREV NEXT | FRAMES NO FRAMES |


Goal of the project: Create a webpage using HTML and CSS to be the landing page for your web programming portfolio.
I was born in Portland, Oregon, but have lived in California, Washington, Colorado and Ireland. For the last 20 years I have been teaching and performing Irish dance, in addition to working in the service industry. I am retiring from touring and looking forward to starting a new career in computer programing.
My current interests/hobbies/skills are:
1999-2016 International Touring Irish Dancer
Performed Solo and group performances at folk festivals and venues in America, Canada and Ireland. Taught at Universities, Colleges, music camps and community centers. Highlights include:
I am currently attending Epicodus, a coding school in Portland, Oregon. Here are my projects from my first week. Friday's project was this Portfolio website.
On Monday we learned how to use gig and made several pages as well as our first webpage.
On Tuesday we on CSS (Cascading Style Sheets) allowing us to make our basic websites a little more presentable. We also covered making gh-pages and branching and merging.
This was the day that we made many many websites to practice Styling with Classes, dis and spans. As well as Floats, which allow our images to wrap around the text, sidebars and columns and our pages began to take more shape. We then covered box Models.
We covered bootstrap and nesting.
© 2016 Maldon - Epicodus


| ClearSelection method |
Applies to
TCustomTreeNT
Declaration
Procedure ClearSelection;
Implementation
procedure TCustomTreeNT.ClearSelection; // deselects all selected nodes // due to the walk through, probably, many nodes in the tree, this method // may be time costly with a large selection (and it's called every time // the user makes a simple focus change) var Next, Node : TTreeNTNode; begin if Items.FSelection.Count > 0 then begin Items.LockSelection; Items.FCoreSelecting := True; Node := Items.GetFirstSelectedNode; while assigned(Node) do begin Next := Node.GetNextSelected; Items.SelectNode(Node, stReset); Node := Next; end; Items.FSelection.Clear; Items.FCoreSelecting := False; with FChangeTimer do if Interval > 0 then begin Enabled := False; Tag := 0; Enabled := True; end else Change(nil); Items.UnlockSelection; end; End; |


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ddsutil module¶
DDS descriptor utility module
Main purpose of this module is to provide methods to convert DDS descriptor to Python classes dynamically.
Users can use IDL file as an input to generate classes
-
class
ddsutil.
GeneratedClassInfo
(data_cls, type_support_cls, nested_types)¶ Bases:
object
Place holder for generated classes
Variables: - topic_data_class – Topic data class
- type_support_class – Type support class
-
__init__
(data_cls, type_support_cls, nested_types)¶
-
get_class
(type_info)¶ Return classes created dynamically
Parameters: type_info (string) – struct identifier (.e.g, “test::basic::inner_struct”)
-
register_topic
(dp, name, qos)¶ Register topic for generated topic data class
Parameters: - dp (DomainParticipant) – Domain participant
- name (string) – topic name
- qos (Qos) – topic QoS
Return type: Returns: topic
-
ddsutil.
get_dds_classes_from_idl
(idl_path, type_info)¶ Create DDS topic data class and DDS type support class from the given IDL file source.
Parameters: - idl_path (string) – path to IDL file
- type_info (string) – struct module (e.g., test::basic::my_struct)
Return type: Returns: GeneratedClassInfo
- Examples:
- gen_info = dds_class(“sample.idl”, “basic::test::Type1”, “long_1”)
-
class
ddsutil.
TopicDataClass
(member_names=[])¶ Bases:
object
Abstract topic data class. Generated classes inherits this base class.
-
__init__
(member_names=[])¶
-
get_vars
()¶ Return the dictionary of attribute and value pair for the topic data members.
-
print_vars
()¶ Print values of all member variables.
-


|
App Engine PHP SDK
v1 rev.445
The PHP runtime is available as an experimental Preview feature.
|
Public Member Functions | |
| send () | |
| __construct ($options=null) | |
| addAttachment ($filename, $data, $content_id=null) | |
| addAttachmentArray ($attach_array) | |
| addAttachmentsArray ($attach_array) | |
| addHeader ($key, $value) | |
| addHeaderArray ($header_array) | |
| clearAttachments () | |
| clearHeaders () | |
| setHtmlBody ($text) | |
| setReplyTo ($email) | |
| setSender ($email) | |
| setSubject ($subject) | |
| setTextBody ($text) | |
Protected Member Functions | |
| getFunctionArray () | |
| checkValidAttachment ($filename, &$error) | |
| checkValidEmail ($email) | |
| checkValidHeader ($key, $value, &$error) | |
| handleApplicationError ($e) | |
Protected Attributes | |
| $message = null | |
Static Protected Attributes | |
| static | $allowed_headers |
| static | $extension_blacklist |
| static | $set_functions |
Abstract base class for sending mail using the App Engine mail APIs.
| google\appengine\api\mail\BaseMessage::__construct | ( | $options = null | ) |
Construct an instance of Message.
| array | $options | Options for message content, key as per set_functions shown above, value to be set. |
| InvalidArgumentException If the options variable passed was not an array, if an invalid option was set in the options array, or if a value to be set by the options array was invalid. |
| google\appengine\api\mail\BaseMessage::addAttachment | ( | $filename, | |
| $data, | |||
$content_id = null |
|||
| ) |
Adds an attachment to the Message object.
| string | $filename | Filename of the attachment. |
| mixed | $data | File data of the attachment. |
| string | $content_id | Optional Content-ID header value of the attachment. Must be enclosed by angle brackets (<>). |
| InvalidArgumentException If the input is not an array or if the attachment type is invalid (i.e. the filename is not a string, or the file extension is blacklisted). |
| google\appengine\api\mail\BaseMessage::addAttachmentArray | ( | $attach_array | ) |
Adds an array of attachments to the Message object.
| array | Attachments as filename => data pairs. Example: array("filename.txt" => "This is the file contents."); |
| InvalidArgumentException If the input is not an array or if the attachment type is invalid (i.e. the filename is not a string, or the file extension is blacklisted). |
| google\appengine\api\mail\BaseMessage::addAttachmentsArray | ( | $attach_array | ) |
Adds an array of attachments to the Message object.
| array | Array of arrays that represent attachments. Each attachment array supports name, data, and (optionally) content_id keys. Example: [['name' => 'foo.jpg', 'data' => 'data', 'content_id' => '<foo>']] |
| InvalidArgumentException If the input is not an array or if the attachment type is invalid (i.e. the filename is not a string, or the file extension is blacklisted). |
| google\appengine\api\mail\BaseMessage::addHeader | ( | $key, | |
| $value | |||
| ) |
Adds a header pair to the mail object.
| string | $key | Header name (from the whitelist) to be added. |
| string | $value | Header value to be added. |
| InvalidArgumentException If the header is not on the whitelist, or if the header is invalid (i.e. not a string). |
| google\appengine\api\mail\BaseMessage::addHeaderArray | ( | $header_array | ) |
Adds an array of headers to the mail object.
| array | An array of headers. |
| InvalidArgumentException If the input is not an array, or if headers are not on the whitelist, or if a header is invalid (i.e. not a string). |
|
protected |
Checks that an attachment is valid.
| string | $filename | Filename of the attachment. |
| string | &$error | Error message to be set if the header is invalid. |
|
protected |
Checks that an email is valid.
| string | The email to be validated. |
|
protected |
Check validity of a header pair.
| string | $key | Header key. |
| string | $value | Header value. |
| string | &$error | Error message to be set if the header is invalid. |
| google\appengine\api\mail\BaseMessage::clearAttachments | ( | ) |
Clear all attachments from the mail object.
| google\appengine\api\mail\BaseMessage::clearHeaders | ( | ) |
Clear all headers from the mail object.
|
protected |
Handles application errors generated by the RPC call.
| ApplicationError | An exception caught during the RPC call. |
| RuntimeException If there was an internal error or bad request. | |
| InvalidArgumentException If there was an unauthorized sender, an invalid attachment type, or an invalid header name. | |
| ApplicationError | If the error is not one of the above. |
| google\appengine\api\mail\BaseMessage::setHtmlBody | ( | $text | ) |
Sets HTML content for the email body.
| string | $text | HTML to add. |
| InvalidArgumentException If text is not a string. |
| google\appengine\api\mail\BaseMessage::setReplyTo | ( | ) |
Sets a reply-to address for the mail object.
| string | Reply-to address. |
| InvalidArgumentException If the input reply-to address is an invalid email address. |
| google\appengine\api\mail\BaseMessage::setSender | ( | ) |
Sets the sender for the mail object.
| string | Email of the sender. |
| InvalidArgumentException If the input sender is an invalid email address. |
| google\appengine\api\mail\BaseMessage::setSubject | ( | $subject | ) |
Sets the subject for the mail object.
| string | $subject | Subject line. |
| InvalidArgumentException If subject line is not a string. |
| google\appengine\api\mail\BaseMessage::setTextBody | ( | $text | ) |
Sets plain text for the email body.
| string | $text | Plain text to add. |
| InvalidArgumentException If text is not a string. |
|
staticprotected |
|
staticprotected |
|
staticprotected |


How undergraduates at the University of Nebraska-Lincoln developed a science gateway that enables researchers to build RNA nanomachines for therapeutic, engineering, and basic science applications.
By Josephine Watkins
The UNL students involved in the capstone project, on graduation day. Order from left to right: Evan, Josh, Dan, Daniel, and Conner.
When a science gateway built by a group of undergraduate students is deployed this fall, it will open the door for researchers to leverage the capabilities of advanced software and the capacity of the Open Science Pool (OSPool). Working under the guidance of researcher Joe Yesselman and longtime OSG contributor Derek Weitzel, the students united advanced simulation technology and a national, open source of high throughput computing capacity –– all within an intuitive, web-accessible science gateway.
Joe, a biochemist, has been fascinated by computers and mathematical languages for as long as he can remember. Reminiscing to when he first adopted computer programming and coding as a hobby back in high school, he reflects: “English was difficult for me to learn, but for some reason mathematical languages make a lot of sense to me.”
Today, he is an Assistant Professor of Chemistry at the University of Nebraska-Lincoln (UNL), and his affinity for computer science hasn’t waned. Leading the Yesselman Lab, he relies on the interplay between computation and experimentation to study the unique structural properties of RNA.
In September of 2020, Joe began collaborating with UNL’s Holland Computing Center (HCC) and the OSG to accelerate RNA nanostructure research everywhere by making his lab’s RNAMake software suite accessible to other scientists through a web portal. RNAMake enables researchers to build nanomachines for therapeutic, engineering, and basic science applications by simulating the 3D design of RNA structures.
Five UNL undergraduate students undertook this project as part of a year-long computer science capstone experience. By the end of the academic year, the students developed a science gateway –– an intuitive web-accessible interface that makes RNAMake easier and faster to use. Once it’s deployed this fall, the science gateway will put the Yesselman Lab’s advanced software and the shared computing resources of the OSPool into the hands of researchers, all through a mouse and keyboard.
The gateway’s workflow is efficient and simple. Researchers upload their input files, set a few parameters, and click the submit button –– no command lines necessary. Short simulations will take merely a few seconds, while complex simulations can last up to an hour. Once the job is completed, an email appears in their inbox, prompting them to analyze and download the resulting RNA nanostructures through the gateway.
This was no small feat. Collaboration among several organizations brought this seemingly simple final product to fruition.
To begin the process, the students received a number of startup allocations from the Extreme Science and Engineering Discovery Environment (XSEDE). When it was time to build the application, they used Apache Airavata to power the science gateway and they extended this underlying software in some notable ways. In order to provide researchers with more intuitive results, they implemented a table viewer and a 3D molecule visualization tool. Additionally, they added the ability for Airavata to submit directly to HTCondor, making it possible for simulations to be distributed across the resources offered by the OSPool.
The simulations themselves are small, short, and can be run independently. Furthermore, many of these simulations are needed in order to discover the right RNA nanostructures for each researcher’s purpose. Combined, these qualities make the jobs a perfect candidate for the OSPool’s distributed high throughput computing capabilities, enabled by computing capacity from campuses across the country.
Commenting on the incorporation of OSG resources, project sponsor Derek Weitzel explains how the gateway “not only makes it easier to use RNAMake, but it also distributes the work on the OSPool so that researchers can run more RNAMake simulations at the same time.” If the scientific process is like a long road trip, using high throughput computing isn’t even like taking the highway –– it’s like skipping the road entirely and taking to the skies in a high-speed jet.
The science gateway has immense potential to transform the way in which RNA nanostructure research is conducted, and the collaboration required to build it has already made lasting impacts on those involved. The group of undergraduate students are, in fact, no longer undergraduates. The team’s student development manager, Daniel Shchur, is now a software design engineer at Communication System Solutions in Lincoln, Nebraska. Reflecting on the capstone project, he remarks, “I think the most useful thing that my teammates and I learned was just being able to collaborate with outside people. It was definitely something that wasn’t taught in any of our classes and I think that was the most invaluable thing we learned.”
But learning isn’t just exclusive to students. Joe notes that he gained some unexpected knowledge from the students and Derek. “I learned a ton about software development, which I’m actually using in my lab,” he explains. “It’s very interesting how people can be so siloed. Something that’s so obvious, almost trivial for Derek is something that I don’t even know about because I don’t have that expertise. I loved that collaboration and I loved hearing his advice.”
In the end, this collaboration vastly improved the accessibility of RNAMake, Joe’s software suite and the focus of the science gateway. Perhaps he explains it best with an analogy: ”RNAMake is basically a set of 500 different LEGO® pieces. Using enthusiastic gestures, Joe continues by offering an example: “Suppose you want to build something from this palm to this palm, in three-dimensional space. It [RNAMake] will find a set of LEGO® pieces that will fit there.”
A demonstration of how RNAMake’s design algorithm works. Credit: Yesselman, J.D., Eiler, D., Carlson, E.D. et al. Computational design of three-dimensional RNA structure and function. Nat. Nanotechnol. 14, 866–873 (2019). https://doi.org/10.1038/s41565-019-0517-8
Since the possible combinations of these LEGO® pieces of RNA are endless, this tool saves users the painstaking work of predicting the structures manually. However, the installation and use of RNAMake requires researchers to have a large amount of command line knowledge –– something that the average biochemist might not have.
Ultimately, the science gateway makes this previously complicated software suddenly more accessible, allowing researchers to easily, quickly, and accurately design RNA nanostructures.
These structures are the basis for RNA nanomachines, which have a vast range of applications in society. Whether it be silencing RNAs that are used in clinical trials to cut cancer genes, or RNA biosensors that effectively bind to small molecules in order to detect contaminants even at low concentrations –– the RNAMake science gateway can help researchers design and build these structures.
Perhaps the most relevant and pressing applications are RNA-based vaccines like Moderna and Pfizer. These vaccines continue to be shipped across cities, countries, and continents to reach people in need, and it’s crucial that they remain in a stable form throughout their journey. Insight from RNA nanostructures can help ensure that these long strands of mRNA maintain stability so that they can eventually make their way into our cells.
Looking to the future, a second science gateway capstone project is already being planned for next year at UNL. Although it’s currently unclear what field of research it will serve, there’s no doubt that this project will foster collaboration, empower students and researchers, and impact society –– all through a few strokes on a keyboard.


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Effective as of June 1, 2017
Your privacy, and the privacy of all users of Kokuré, is important to us. Kokuré is committed to protecting your privacy online. Accordingly, Kokuré has developed this privacy policy that describes the data we collect, how we use it, and with whom we share it (“Privacy Policy”). This Privacy Policy sets forth the polices and procedures of personally identifiable information received from users of the Service, including but not limited to the website at https://www.kokure.com and the mobile applications created by Kokuré (collectively, the “Kokuré Service” or “Service”). This Privacy Policy is applicable to all site visitors, registered users, and all other users of the Service.
The Terms, “We”, “Us”, and “Kokuré” refer to the Kokuré Service. The terms “You” and “Your” refer to you, as a visitor or user of the service. By using the Service, you are consenting to our processing of your information as set forth in this Privacy Policy, as amended from time to time. Further, you acknowledge that this Privacy Policy is part of our Terms of Service (“TOS”), which is incorporated by reference, and by accessing or using the Service, you agree to be bound by all of its terms and conditions. If you do not agree to these terms, and the terms and conditions in our TOS, please do not access or use the Service.
When you purchase something from our store, as part of the buying and selling process, we collect the personal information you give us such as your name, address and email address.
When you browse our store, we also automatically receive your computer's internet protocol (IP) address in order to provide us with information that helps us learn about your browser and operating system.
With your permission, we may send you emails about our store, new products and other updates.
How do you get my consent?
When you provide us with personal information to complete a transaction, verify your credit card, place an order, arrange for a delivery or return a purchase, we imply that you consent to our collecting it and using it for that specific reason only.
If we ask for your personal information for a secondary reason, like marketing, we will either ask you directly for your expressed consent, or provide you with an opportunity to say no.
How do I withdraw my consent?
If after you opt-in, you change your mind, you may withdraw your consent for us to contact you, for the continued collection, use or disclosure of your information, at anytime, by contacting us at<EMAIL_ADDRESS>We may disclose your personal information if we are required by law to do so or if you violate our Terms of Service.
Our store is hosted on Shopify Inc. They provide us with the online e-commerce platform that allows us to sell our products and services to you.
Your data is stored through Shopify's data storage, databases and the general Shopify application. They store your data on a secure server behind a firewall.
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In general, the third-party providers used by us will only collect, use and disclose your information to the extent necessary to allow them to perform the services they provide to us.
However, certain third-party service providers, such as payment gateways and other payment transaction processors, have their own privacy policies in respect to the information we are required to provide to them for your purchase-related transactions.
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If you would like to: access, correct, amend or delete any personal information we have about you, register a complaint, or simply want more information contact our Privacy Compliance Officer at privacy@kokure.com.


{% extends "base.html" %} {% load crispy_forms_tags %} {% block nav %}{% endblock %} {% block content %}
Not sure what data is available on your website? We can find out!
Enter your website's domain: {% crispy form form.helper %}
| Files found | Site |
|---|---|
| {{ count }} files | {{ domain }} |


Example of TextFill jQuery Plugin
What is monkey thinking?
Maximal font size in pixels?
10,000,000,000
e=mc²


MetaCoin
Example Truffle DApp
Select Your Account
SUBMIT
Hint:
open the browser developer console to view any errors and warnings.
MetaCoin
Example Truffle Dapp
You have
META
Your Account
Send MetaCoin
Amount:
To Address:
Send MetaCoin
Hint:
open the browser developer console to view any errors and warnings.
Accounts on the chain you can send MetaCoin to:


What is this?
The cool-effects is a website that gathers very cool CSS effects, teaching how to do it and showing its code as well. The effects were taken from sites like Codrops and CSS-Tricks.
How it works?
Basically you will have a catalog full of effects for buttons, links, icons and images. Choose your favorite effect and click on the fork icon right below it and you will be redirected to a Github file with the code of this effect.
It has any cost?
No. This is a Open Source project, all effects (and its codes) are available for free for anyone that want to make your project more beautiful and modern.


I'm a 3rd year Finance student at Cal Poly who will be interning in Investment Banking. I'm a part of the Honors Program, the President of the Cal Poly chapter of Delta Chi, and serve as the Director of Growth and Recruitment for the Investment Banking Society
I'm a Washington native with a passion for nature and hiking. However, I just recently became interested in the opposite and decided to learn python
Check out my projects and let me know if there's ways I can optimize my programming and improve my abilities, I'm always open to feedback
Feel free to contact me at<EMAIL_ADDRESS>The links below are to connect to Start Bootstrap if you're interested in their work creating this template


About Chad Tao
Born on December 5th, 1988 in the People's Republic of China, Chad Tao was given the name of "Chen Tao" which those closest to him call him by. He moved to the United States at the tender age of 12, not speaking a word of English at first. But despite those great odds against him succeeding, Chad was able to achieve mediocrity in his studies and career. He is now married to his beautiful wife Fay and they have two daughters together. Chad is a gourmet connoisseur and enjoys pumping iron at the gym once or twice every few months.


{% extends "futuschedule/base.html" %} {% load staticfiles %} {% block title %}TimeZones{% endblock %} {% block body %}
To schedule events we need a date, time and timezone. You may ask an administrator if you need to make changes here, because they must be in a certain format (e.g. Europe/Brussels, America/Los_Angeles).


I'm Vishwajeet Bharti
This is Vishwajeet Bharti
Vishwajeet Bharti
Vishwajeet Bharti
VIshwajeet Bharti
Vishwajeet Bharti
Vishwajeet Bharti
Vishwajeet Bharti
Setu


DPI (Dots Per Inch), also known as PPI (Pixels Per Inch), is a property of an X screen that describes the physical size of pixels. Some X applications, such as xterm, can use the DPI of an X screen to determine how large (in pixels) to draw an object in order for that object to be displayed at the desired physical size on the display device.
The DPI of an X screen is computed by dividing the size of the X screen in pixels by the size of the X screen in inches:
DPI = SizeInPixels / SizeInInches
Since the X screen stores its physical size in millimeters rather than inches (1 inch = 25.4 millimeters):
DPI = (SizeInPixels * 25.4) / SizeInMillimeters
The NVIDIA X driver reports the size of the X screen in pixels and in millimeters. When the XRandR extension resizes the X screen in pixels, the NVIDIA X driver computes a new size in millimeters for the X screen, to maintain a constant DPI (see the "Physical Size" column of the `xrandr -q` output as an example). This is done because a changing DPI can cause interaction problems for some applications. To disable this behavior, and instead keep the same millimeter size for the X screen (and therefore have a changing DPI), set the ConstantDPI option to FALSE.
You can query the DPI of your X screen by running:
% xdpyinfo | grep -B1 dot
which should generate output like this:
dimensions: 1280x1024 pixels (382x302 millimeters) resolution: 85x86 dots per inch
The NVIDIA X driver performs several steps during X screen initialization to determine the DPI of each X screen:
If the display device provides an EDID, and the EDID contains information about the physical size of the display device, that is used to compute the DPI, along with the size in pixels of the first mode to be used on the display device.
Note that in some cases, the physical size information stored in a display device's EDID may be unreliable. This could result in a display device's DPI being computed incorrectly, potentially leading to undesired consequences such as fonts that are scaled larger or smaller than expected. These issues can be worked around by manually setting a DPI using the "DPI" X configuration option, or by disabling the use of the EDID's physical size information for computing DPI by setting the UseEdidDpi X configuration option to "FALSE"'.
If multiple display devices are used by this X screen, then the NVIDIA X screen will choose which display device to use. You can override this with the "UseEdidDpi" X configuration option: you can specify a particular display device to use; e.g.:
Option "UseEdidDpi" "DFP-1"
or disable EDID-computed DPI by setting this option to false:
Option "UseEdidDpi" "FALSE"
EDID-based DPI computation is enabled by default when an EDID is available.
If the "-dpi" commandline option to the X server is specified, that is used to set the DPI (see `X -h` for details). This will override the "UseEdidDpi" option.
If the DPI X configuration option is specified, that will be used to set the DPI. This will override the "UseEdidDpi" option.
If none of the above are available, then the "DisplaySize" X config file Monitor section information will be used to determine the DPI, if provided; see the xorg.conf man page for details.
If none of the above are available, the DPI defaults to 75x75.
You can find how the NVIDIA X driver determined the DPI by looking in your X log file. There will be a line that looks something like the following:
(--) NVIDIA(0): DPI set to (101, 101); computed from "UseEdidDpi" X config option
Note that the physical size of the X screen, as reported through `xdpyinfo` is computed based on the DPI and the size of the X screen in pixels.
The DPI of an X screen can be poorly defined when multiple display devices are enabled on the X screen: those display devices might have different actual DPIs, yet DPI is advertised from the X server to the X application with X screen granularity. Solutions for this include:
Use separate X screens, with one display device on each X screen; see Chapter 14, Configuring Multiple X Screens on One Card for details.
The RandR X extension version 1.2 and later reports the physical size of each RandR Output, so applications could possibly choose to render content at different sizes, depending on which portion of the X screen is displayed on which display devices. Client applications can also configure the reported per-RandR Output physical size. See, e.g., the xrandr(1) '--fbmm' command line option.
Experiment with different DPI settings to find a DPI that is suitable for all display devices on the X screen.


StackableScrollView
open class StackableScrollView : UIScrollView
Undocumented
-
Undocumented
Declaration
Swift
public var direction: StackableScrollViewDirection
-
Undocumented
Declaration
Swift
public var insets: UIEdgeInsets
-
Undocumented
Declaration
Swift
public var spacing: CGFloat
-
Undocumented
Declaration
Swift
open func install(viewModels: [ItemViewModelType])
-
Undocumented
Declaration
Swift
public var viewModel: ViewModelType? { get set }
-
Undocumented
Declaration
Swift
public var disposeBag: DisposeBag { get set }
-
Undocumented
Declaration
Swift
public func bind(to viewModel: ViewModelType?)


Source
(defmethod mark-root ((heap mark-and-sweep-heap) (object-id integer))
;; Returns the number of octets scanned.
(let ((object-table (object-table heap)))
(if (member (object-info object-table object-id) '(:reserved :live-object))
;; Reserved objects aren't written to the heap yet (they just
;; have an object table entry), so we don't need to scan them
;; for child objects. And live objects were already marked earlier,
;; so don't need to be scanned again now.
0
(let* ((block (object-heap-position object-table object-id))
(buffer (load-block heap block :skip-header t)))
(setf (object-info object-table object-id) :live-object)
(scan-object object-id buffer heap)
;; Keep track of statistics.
(let ((block-size (block-size block heap)))
(incf (nr-heap-bytes-scanned heap) block-size)
;; Return the amount of work done.
block-size)))))
Source Context


Why Firebase?
Firebase Realtime Database allows us to synchronize and access a large amount of data online. In our project, we use two sub-databasesThe first one, “PlantInfo”, contains the desired moisture and sunlight requirement for a variety of plants. Our microcontroller reads these standard values from the “PlantInfo” database as a reference for controlling the sunlight shade and the water pump. The second sub-database, “Realtime-Sensor”, stores the data from real-time sensor reading. The pot-body section of the YingXao Gardener posts the real-time sensor data to the firebase, and the App section reads those sensor data as well as the desired data for the specific plant, displaying them for customers.
Figure: software architecture of YingXao


Vietnam offers loans to grieving families to return 39 bodies found dead in Britain
by Louis CasianoLoans are being offered loans to the families 39 Vietnamese citizens who were found dead in a refrigerated truck last month in the United Kingdom to repatriate the bodies to Vietnam.
Some relatives told the BBC they have been approached by Vietnamese authorities offering the option of taking out a government loan of up to $2,840 or paying the cost of repatriation themselves.
ESSEX TRUCK DEATH VICTIMS INCLUDE 10 TEENAGERS, TWO AS YOUNG AS 15: BRITISH POLICE
The families had already paid upwards of $50,000 to smuggle the victims into the United Kingdom, according to BBC.
"We already had to borrow so much money, we had to mortgage what we had. I don't even know if we can borrow anymore," said Pham Ngoc Tuan, brother of one of the victims.
Messages to the Vietnamese consulate in London from Fox News were not immediately returned.
CLICK HERE TO GET THE FOX NEWS APP
The bodies -- 31 men and eight women -- were discovered inside a truck in Essex, about 25 miles east of London, on Oct. 23. Two drivers have been charged with manslaughter and suspects in Vietnam's Ha Tinh province have also been taken into custody.
The truck's container was registered in Bulgaria and entered Britain via ferry after leaving the Belgian port of Zeebrugge.


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The Ganger.js module provides the attribute to generate a character of quality q or with dice modifier m. The syntax is as follows:
Ganger.getCharacter(); //generate a completely random character
Ganger.getCharacter(n); //generate a character using dice roll n as the table index;
Ganger.getCharacter(null, m); //generate a random character but add m to the dice roll. null must be the first parameter
Pass in a '*' for n to create a Star character. The module otherwise will generated a character quality at random. The result object has a toString() method to disclose its contents, but these can also be accessed via members as:
Ganger.getCharacter().toString(); //disclose the result object
Ganger.getCharacter().quality; //what is the quality of the character
Ganger.getCharacter().rep; //what is the rep of the character
Ganger.getCharacter().weapon; //what is the weapon possessed by the character


Summary
-
Text Segmentation : is the process of dividing written text into meaningful units, such as words, sentences, or topics.
- To improve the results of Information Retrieval system and help users to find relevant passages faster
- keywords : Text Segmentation, Document Segmentation, Discourse Segmentation
-
Methods
-
Lexical-Cohesion based methods : The first basic insight is that people talk about different topics in different ways: they use different words.
- Discriminative approach : calculate similarity between neighboring sentences
- Clustering approach : generate topic clusters
-
Feature based Topic Boundaries (Break) Prediction : The second basic insight is that boundaries between topics have their own characteristic features
- Use neural models to identify break points within the text : Solve Binary classification problem (whether a given sentence denotes the beginning of a new segments)
-
1. Conventional Ideas : Application of Topic Segmentation in Audiovisual information retrieval (2012)
- Introduction : Overview of Conventional approaches in Topic Segmentation
- Methods : present several methods used for topic segmentation, based on textual, audio and visual information.
- Lexical Cohesion based : use only textual information. They are based on the assumption that the segment we are looking for is lexically coherent (it uses coherent vocabulary)
- Feature based (hand-crafted)
- Textual Features : Lexical Features, Contextual Features, Vocabulary, Lexical Chains
- Audio Features : Prosodic Features and Converational Features
- Video Features : Color Similarity, Motion Similarity, and Bag of Visual words
- Conclusion : would like to use all kinds of modality in the proposed system. Therefore, machine learning method based on the features appears to be the best solution.
2. Topic segmentation in ASR Transcript using Bidrectional RNNs for Change Detection (2017)
-
Introduction : propose a novel approach for topic segmentation in speech recognition transcripts by measuring lexical cohesion using bidirectional Recurrent NeuralNetworks (RNN).
-
Methods : Bidirectional Recurrent Neural Networks
- Two or more news articles are randomly chosen and concatenated
- Then the training objective is to mark the boundary be-tween the concatenated articles as a topic change point.
-
Conclusion : These models were trained discriminatively by concatenating news articles from the internet. Evaluation on ASR transcripts of French TV news programs showed that our RNN models can perform better than the C99-LSAand Topic Tiling baseline methods.
3. Text Segmentation as a Supervised Learning Task (2018, Wiki-727)
-
Introduction :
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Previous work on text segmentation focused on unsupervised methods such as clustering or graph search, due to the paucity in labeled data.
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In this work, we formulate text segmentation as a supervised learning problem, and present a large new dataset for text segmentation that is automatically extracted and labeled from Wikipedia.
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Methods
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Wiki-727k Dataset : 727k English Wikipedia documents
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Removed all photos, tables, Wikipedia template elements, and other non-text elements.
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Removed single-sentence segments, documents with less than three segments, and documents where most segments were filtered.
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Divided each segment into sentences using the PUNKT-tokenizer of the NLTK library (Bird et al., 2009). This is necessary for the use of our dataset as a benchmark, as without a well-defined sentence segmentation, it is impossible to evaluate different models
-
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Neural Model for Text Segmentation : two sub-networks based on the LSTM architecture. One generates sentence representations, and the other predicts segment
-
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Conclusion : Our text segmentation model outperforms prior methods on Wikipedia documents, and performscompetitively on prior benchmark
4. Attention based Neural Text Segmentation (2018)
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Introduction : This paper is the first one to present a novel supervised neural approach for text segmentation.
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Methods : solve binary classification problem,
- Problem Definition : Classifies whether a given sentence denotes the beginning of a new text segments.
- Model : using attention based bidirectional LSTM
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Code : https://github.com/pinkeshbadjatiya/neuralTextSegmentation
5. Text Segmentation by cross segment attention (2020, Google Research)
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Introduction : Text segmentation is a traditional NLP task that breaks up text into constituents.
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Document Segmentation : has been shown to improve information retrieval by indexing sub-document units instead of full documents (Llopiset al., 2002; Shtekh et al., 2018)
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Discourse Segmentation : breaks up pieces of text into sub-sentence elements (EDUs, Fig2)
-
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Methods : propose three transformer-based architectures
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Preprocessing : simply feed the raw input into a word-piece (sub-word) tokenize (Wu et al., 2016)
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Architecture
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Cross-segment BERT : uses only local context around candidate breaks. find appropriate location for [SEP] token
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BERT+BiLSTM : encode each sentence using a BERT model, and then feed the sentence representations into a Bi-LSTM
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Hierarchical BERT : encode each sentence using BERT and then feed the output sentence representations in another transformer-based model.
-
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Dataset : Wiki-727k contains 727 thousand articles from a snapshot of the English Wikipedia,
- re-use the original splits provided by the authors
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Conclusion : In particular, we found that a cross-segmentBERT model is extremely competitive. This is surprising as it suggests that local context is sufficient in many cases
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References
- word-piece tokenizer implementation (Devlin et al., 2018), which has a vocabulary size of 30,522 word-pieces.
6. Chapter Captor : Text Segmentation in Novels (2020)
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Introduction : investigate the task of predicting chapter boundaries, as a proxy for the general task of segmenting long texts
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Contributions:
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(1) Project Gutenberg Chapter Segmentation Resource : Create a ground-truth data setfor chapter segmentation
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(2) Local Methods for Chapter Segmentation :
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unsupervised weighted-cut approach minimizing cross-boundary cross-references
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supervised neural network building on the BERT language model (Devlinet al., 2019)
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(3) Global Break Prediction using Optimization
- augmenting the BERT-based local classifier with dynamic programming
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References
7. Improving Context Modeling in Neural Topic Segmentation (2020)
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Introduction :
- Topic segmentation can be framed as a sequence labeling task where each sentence is either the end of a segment or not.
- For topic segmentation, it is critical (important) to supervise the model to focus more on the local context.
- with a proper way of modeling the coherence between adjacent sentences, a topic segmenter can be further enhanced.
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Methods: given a document represented as a sequence of sentences, model will predict the binary label for each sentence to indicate if the sentence is the end of a topical coherent segment or not.
- add a coherence-related auxiliary task : to make model learn more informative hidden states for all the sentences in a document
- restricted self-attention : which enables model to pay attention to the local context and make better use of the information from the closer neighbors of each sentence
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Discussion
- Domain Transfer : trained on WIKI-SECTION dataset, evaluated on WIKI-50, which consists of 50 samples randomly generated from the latest English Wikipedia dump,
- Multilingual Evaluation : trained and tested on two other wikipedia datasets in German and Chinese : SECTION-DE, SECTION-ZH
8. Unsupervised Topic Segmentation of Meetings with BERT Embeddings (2021)
- Introduction :
- In the context of meeting recordings and their transcripts, topic segmentation can quickly provide users with a valuable high level understanding of past meetings.
- Topic segmentation of spoken language is significantly more challenging than written text due to the added complexity that the underlying ASR (Automated Speech Recognition) system
- Methods : detect topic changes based on a new similarity score using BERT embeddings.
- Sentence representation model : to extract semantic similarity between sentences (BERT)
- A segmentation scheme : that employs semantic similarity variations over time to detect topic changes.
- Conclusion : leveraging the strong semantic representation power of BERT, prposed model shows improved segmentation performance compared to the non neural-based approach


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What's going on here?
A few years ago while playing cards, I had an idea. More like a question, really: could you encode a message in a deck of cards? Is that mathematically possible?
A few weeks ago, I realized hey, you can Google that sort of thing. Google lead me to a stack overflow article called Fast permutation -> number -> permutation mapping algorithms. That introduced me to the word I was looking for: Factorial number system, and the related concept of Lehmer codes, so I went straight to Wikipedia and began to figure out what I had gotten myself into. The good news was that mathematicians have studied this thing and come up with some great research.
Once I figured out how it was possible to encode a message in a deck of cards, I made this web app to demonstrate it was possible, and that brings us to what you're looking at now.
How long can the messages be?
That depends on two things: How many cards are in a deck, and how many
letters are in your alphabet. Since there are fifty-two cards in a deck,
there are 52! ≈ 8✖1057
possible orders for a deck
of cards. If your alphabet has 39 letters (26 proper letters, 10 digits,
space, quote, and period), then you will need to be able to store
39l messages, where l is the maximum length of a
message.
This gives us the following formula to solve for l:
52! ≥ 39l
This equation can be solved for l by asking Siri, "What's the log of 52 factorial divided by the log of 39?" The answer will be about 42.68, which rounds down to a maximum length of 42 characters, since it doesn't make sense to encode part of a character.
Why is it named Codeck?
A codec is a word for something that encodes and decodes messages, and I'm not one to pass up a good pun. Or a bad one, apparently.
How was this built?
The styles and code are my own, but I got a lot of help from a data visualization library called D3.js (not affiliated with this project). All the code I wrote is available on Github at Codeck.


Shamsudeen is 200 level student of civil Engineering at the university of lagos, Nigeria
Shamsudeen is also budding data scientist with interest in business analytics and front
end web development.
Avid learner and a believer in the Nigerian dream
Other Interesting facts about Shamsudeen
Loves touring ,likes to do more for people around him


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HYPE is more than just an acronym for the empowerment and education of today's youth, it's an action towards providing underrepresented youth with skills they'll need to have a successful future. To be exposed to the realm of computer science and technology in grade school is an opportunity & necessity that many marginalized students are not afforded. The tech industry is continuously evolving and will create a great deal of opportunities for those who have coding skills. We believe that EVERYONE should have the chance to take hold of these opportunities, regardless of race, gender, or socioeconomic standing. And this is why we're here - not only to bring computing education to those who live in the United States, but to bring it to the world! So let's get HYPE !
LifeLink International was created to fight poverty through education, health care, community development and vocational training. HYPE's mission is closely aligned to LifeLink's and our hearts are closely connected their students. If we have the means to help others to be successful, why would we not take advantage of that blessing? The Lifelink School has already done so much to provide a place where students in the local community of Ciudad Sandino can receive the education they deserve. It's an honor and a privilege to partner for such a worthy cause!