S1000D
S1000D is an international specification for the production of technical publications and also extended to non-technical publications. Initially developed by the AeroSpace and Defence Industries Association of Europe (ASD), it is now collaborativley produced by three organisations namely:
- AeroSpace and Defence Industries Association of Europe (ASD)
- Aerospace Industries Association of America (AIA)
- ATA e-Business Program
The specification continues to evolve and currently is applicable to a variety of products:
- Any type of equipment (including both military and civil products)
- Construction
- Policy procedures
- Legal documentation
The concept of this specification was originated in the early 1980s as an aerospace standard. At that time, most civil airline projects were being documented in accordance with specification ATA 100 with military projects following various national specifications. Documentation Working Group (DWG) consisted of European industry representatives tasked to report on current documentation practices and to recommend a unified method of documentation for air vehicle projects. The DWG recognized that the only internationally accepted specification in the aerospace field was ATA 100. It was therefore decided to attempt to harmonize civil and military documentation using ATA 100 as a source document. The DWG invited the nations to provide military representatives who would participate in its activities and established a subsidiary, which was designated the Augmented Documentation Working Group (ADWG).
To ease reading of the specification it has been split into multiple chapters covering aspects such as creation, management and publishing, the full lifecycle of technical publications creation.
Principal Concepts
The following sections deal with the principal concepts within the specification. These concepts underpin a publications program using S1000D, and enable a move from a book paradigm to an information one.
Data Module
A data module is defined as a stand alone information unit and contains descriptive, procedural or operational data for a platform, system or a component.It is produced in such a form that it can be stored and retrieved from a Common Source Data Base by using the data module code as the identifier.It is produced in SGML (up to S1000D Issue 3.0) or XML according to specific DTDs or Schemas, all of which are provided with the specification.
Data Module Structure
Each data module comprises two parts, identification and status section and a contents section. The Identification and Status section provides information for:
- Managing the data module within the CSDB.
- Managing data module applicability.
- Managing the quality assurance process.
- Controlling the retrieval processes.
For more information on S1000D, visit S1000D website.


#include "_doctype.html"
trurl is a tool in a similar spirit of tr but for URLs. Here, 'tr' stands for translate or transpose.
trurl is a command line tool that parses and manipulates URLs, designed to help shell script authors everywhere.
URLs are tricky to parse and there are numerous security problems in software because of this. trurl wants to help soften this problem by taking away the need for script and command line authors everywhere to re-invent the wheel over and over.
trurl uses libcurl URL parser and will thus parse and understand URLs exactly the same as curl the command line tool does – making it the perfect companion tool. SUBTITLE(Pronunciation)
We say "trurel". As if there was an 'e' between the 'r' and 'l' at the end. #include "_footer.html"


First Form Marmik Desai
First Name
Last Name
Email
Alternate Email
Phone
Mobile Phone
Message 1
Message 2
checkbox 1
checkbox 2
Male
Female
Password
Conform Password
First Name
Last Name
Email
Alternate Email
Phone
Mobile Phone
Message 1
Message 2
checkbox 1
checkbox 2
Male
Female
Password
Conform Password


Hello, world!
This element subscribes to the /queue/auto channel
initial content to be replaced
- initial list item to append to
- initial list item to prepend to
Able to publish serialized form submissions to a topic
Will be replaced with serialized form
Able to publish single form field text to a topic
Will be replaced with field text
Able to publish serialized form rpc-style via temporary reply-to queues
Will be upper-cased and only received by this session


Home
Resume
Downloads
Trades
Blog
Omar Guzman
Software Engineer
Hello, my name is Omar Guzman. I day trade, work out, and code on my spare time.
email<EMAIL_ADDRESS>Check Out Green!
Check Out Gem!
Gem


On 25 April 2019, the local administration in Larkana district was alerted by media reports of a surge in human immunodeficiency virus (HIV) cases among children in Ratodero Taluka, Larkana district, Sindh province, Pakistan. A screening camp was initially established at Taluka’s main hospital. Later, screening was expanded to other health facilities including selected Rural Health Centers (RHCs) and Basic Health Units (BHUs). HIV rapid test kits that were initially used were replaced with pre-qualified WHO test kits.
From 25 April through 28 June 2019, a total of 30,192 people have been screened for HIV, of which 876 were found positive. Eighty-two per cent (719/876) of these were below the age of 15 years. During the screening, several risk factors were identified, including: unsafe intravenous injections during medical procedures; unsafe child delivery practices; unsafe practices at blood banks; poorly implemented infection control programs; and improper collection, storage, segregation and disposal of hospital waste.
This is the fourth reported outbreak of HIV in Larkana district since 2003. The first outbreak in 2003, was among people who inject drugs (PWID), the second was among 12 pediatric patients in a pediatric hospital in 2016, and the third, also in 2016, was among 206 patients in a dialysis unit.
Prior to this event, Larkana district had only one antiretroviral therapy (ART) clinic, which was for adults exclusively (2,568 registered cases by May 2019).
The response to the event has been led by the provincial Department of Health (DOH) and the Sindh AIDS Control Program (SACP). The response has been supported by UN partners, the Pakistan Field Epidemiology & Laboratory Training Program (FELTP), Aga Khan University, and other partners.
A new HIV/AIDS ART Treatment Center for children has been established at Shaikh Zaid Children Hospital. Unauthorized laboratories, blood banks, and clinics have been closed.
A mission led by the Federal Ministry of Health (MOH) and WHO, supported by other UN partners and academia has been conducted through the first half of June. The objectives were to identify sources and chains of transmission of HIV, map the high-risk areas, and identify gaps in HIV diagnosis, care and treatment.
Pakistan is one of the countries in the WHO Eastern Mediterranean Region where new HIV infections are increasing at an alarming level since 19871. The current HIV epidemic in Pakistan is defined as a concentrated epidemic. Although the overall prevalence is still less than 1% in the adult population, the latest estimate (2017) of people living with HIV (PLHIV) was 150,0002 . In 2018, 21,000 new PLHIV cases were recorded.
Regarding this event, the overall risk of disease spread within Larkana district is high due to:
Further epidemiological investigations will help determine the magnitude of the event, and whether this event is acute and isolated in nature, or a longer duration situation with these cases (accidentally diagnosed) representing the tip of the iceberg of a larger epidemic.
The risk at regional and global levels is considered very low because the mode of transmission of HIV is very specific and limited to mother to child transmission, contact with contaminated blood through contaminated syringes/other surgical instruments, blood transfusion or sexual contact with PLHIV. The situation is being closely monitored, and the risk will be re-assessed according to the results of the preliminary investigation.
This event highlights the importance of using high-impact interventions to reduce vulnerability and prevent transmission mainly in health care settings. It also takes into consideration the prevention of sexual transmission in high risk groups, transmission through injecting drug use and mother-to-child transmission.
WHO recommends that after 18 months of age, three different assays may be required to establish the diagnosis of HIV infection . However, infants less than 18 months of age who are born to HIV infected mother should be diagnosed through nucleic acid testing (NAT)3.
WHO stresses the importance of immediately linking all those diagnosed with HIV infection to antiretroviral treatment (ART), where the test should be repeated to rule out errors in diagnosis (in case second test is negative4) and, thereafter, ART should be started without any delay.
For more information,please see:
1Report on the global HIV/AIDS epidemic-June 1998
2UNAIDS Pakistan country profile
3WHO Consolidated guidelines on HIV testing services, July 2015


The Java API closely parallels the Berkeley DB C++ interface, and to a great degree, the Berkeley DB C interface. If you are currently using either of those APIs, there will be very little to surprise you in the Java API. We've even taken great care to make the names of classes, constants, methods, and even method arguments identical, where possible, across all three APIs.
If there are embedded null strings in the db_config argument for DbEnv.appinit they will be treated as the end of the list of config strings, even though you may have allocated a longer array. Fill in all the strings in your array unless you intend to cut it short. This same comment applies to the curslist argument for Db.join.
The callback installed for DbEnv.set_errcall will run in the same thread as the caller to DbEnv.set_errcall. Make sure that thread remains running until your application exits or DbEnv.appexit is called.
The Berkeley DB package requires that you explicitly call close on each individual Db, Dbc that you obtained or any DbLockTab or DbTxnMgr that you explicitly opened. Your database activity may not be synchronized to disk unless you do so.
The DbMpool class has a small subset of the corresponding Berkeley DB C++ functionality. This has been provided to allow you to perform certain administrative actions on underlying DbMpool opened as a consequence of DbEnv.appinit. Direct access to other DbMpool functionality is not appropriate for the Java environment.
The Java runtime DOES NOT automatically close Db* objects on finalization, whether they be Db, Dbc, DbTxn, etc. There are a couple reasons for this. One is that finalization is generally run only when GC occurs and there is no guarantee that this occurs at all (even on exit). Allowing specific Berkeley DB actions to occur in ways that cannot be replicated seems wrong. Secondly, finalization of objects may happen in an arbitrary order, so we would have to do a lot of extra bookkeeping to make sure everything got closed in the proper order. The best word of advice is to always do a close() for any matching open() call or equivalent.
Berkeley DB always turns on the DB_THREAD flag since threads are expected in Java.
Many methods in the API often have no return type, and throw an exception when an severe error arises. There are some notable methods that do have a return value, and can also throw an exception. Db.get and Dbc.get both return 0 when a get succeeds, Db.DB_NOTFOUND when the key is not found, and throw an error when there is a severe error. There are others. This allows the programmer to check for typical data driven errors by watching return values without special casing exceptions.


github.com/Comcast/sheens
for documentation. In particular,
the README
and these
notes are good places to start. The demo
executable mcrew
,
which you are probably running right now, is also good to explore.
double
.


Covid Delta Variant Now in PH
Stay safe everyone!
Latest
Hogwarts tops International Quidditch Cup
Harry Potter leads Hogwarts in the recent Quidditch Cup held at...
Covid Vaccination offered to Hogwarts students
Students can now avail free Covid-19 vaccination by registering at...
Does Draco deserve a redemption arc?
Draco Malfoy, 19, is the son of Lucius and Narcissa Malfoy...
Hogwarts
At some point in the tenth century, four of the greatest witches and wizards that ever lived founded Hogwarts School of Witchcraft and Wizardry. Their names were Godric Gryffindor, Rowena Ravenclaw, Helga Hufflepuff and Salazar Slytherin. As The Sorting Hat told us, their reason for doing so was because they had the ‘selfsame yearning, to make the world’s best magic school’, and once they did, each created their own house to represent a personality and skill that they wanted to nurture.
Gryffindor students embodied bravery and chivalry; Ravenclaw, intelligence and wit; Hufflepuff, loyalty and fair play; and Slytherin, the values of being sly and cunning.It’s a popular wizarding theory that Rowena Ravenclaw came up with the name of Hogwarts.
mission and vision
Hogwarts School of Witchcraft and Wizardry is a leading educational institution that promotes a strong foundation for family and world citizenship, advocates wisdom for peace and prosperity, and creates opportunities for achievement and success. With its reputation as one of the best schools of its kind in the world, Hogwarts boasts a faculty of wise and talented professors who aim to make a change.
Hogwarts Core Values
WISDOM-KNOWLEDGE
The gift of sound judgment shall be internalized by every Hogwarts. The ability to use their knowledge is a perfection that every Hogwarts aims to achieve which is anchored from the concept of Hogwarts as the seat of intellectual refinement. Through all of these the act of knowing and accumulating a body of facts and information comes along.
COMPETENCE
The Hogwarts way is always geared towards competence in all endeavors. Such that, one is capable to do beyond what is expected of him or her. Competence can only be acquired after a thorough process of refinement.
RESPONSIBILITY
Hogwarts expects from its students to develop the ability to respond to the needs and demands of the present life conditions. Being responsible enough to become good citizens of the country can pave the way for a brighter future of the generations to come.
INNOVENTIVENESS
An Hogwarts student seeks to introduce new things. As an inherent skill that is cascaded within the framework of the institution, introducing new methods and ideas to make changes, is an indicator of a society in progress which teachers shall purposely aim to develop in every student.
LOVE
Love is the core of every family. It creates a special bond among all peoples of the world. Hogwarts aims to develop in every child the love for ones self, family and society that is geared towards progress.
INTEGRITY
The Hogwarts way contemplates on the wholeness of every student who can speak his mind and express his feelings with utmost sincerity. The state of being humble or modest is expected to be seen from every Hogwarts student. The school aims to produce students who can fly or soar high with their dreams yet still grounded with their sense of humility.
SELF-DESCIPLINE
Hogwarts aims to help every student to develop in them a habit of system and order by way of training and conditioning them to become obedient and self-controlled. Organizing ones self gives an edge over the others.
TRUTHFULNESS
"Honesty is the best policy". Every Hogwarts deserves to know the truth, embrace it and to be witnessing citizens of the community. Hogwarts aims to help every student to acquire the value of truthfulness towards becoming better citizens of the country.
GENEROSITY
With generosity in diversity, the Hogwarts way creates a challenge to every student to manifest a genuine spirit of sharing and giving despite the existence of diverse cultures, religion and ethnicities. Hogwarts believes in the spirit of generosity across culture, religion and race.
LOYALTY
It is the aim of this institution to inspire all students and to develop in them the sense of undying support to their Alma Mater, mentors, classmates and friends.
Programs Offered
Gradeschool (Grades 1-10)
Students in Grades 1 to 10 will experience an enhanced, context-based, and spiral progression-learning curriculum with the following subjects:
- Mother Tongue
- Filipino
- English
- Mathematics
- Science
- Araling Panlipunan
- Edukasyon sa Pagpapakatao (EsP)
- Music
- Arts
- Health
- Edukasyong Pantahanan at Pangkabuhayan (EPP)
- Technology and Livehood Education (TLE)
Senior High School (Grades 11-12)
Hogwarts International School also offers various strands in the K-12 program, including STEM (Science, Technology Engineering, and Mathematics), HUMSS (Humanities and Social Sciences), ABM (Accountancy, Business and Management), GAS (General Academic Strand), Arts and Design, and Sports Track.
Scholarships/Enrollment Incentives
HOGWARTS SCHOLARSHIPS
- Founder Scholarship
Enrollment Incentives
- Early Enrollment (Enroll on or before April 30, 2021)
- Full Payment
- Siblings Discount
- Bring-A-Friend
- Alumni Discount
- Loyalty Privileges
Applying to Hogwarts
Refer to some of Frequently Asked Questions
Please refer to the Admissions page to begin the application process.
Tuition and fees at Hogwarts vary based on your child(ren)'s age. Refer to our tuition and fees page.
The application deadline for the 2022-2023 school year is September 01, 2021. After this deadline has passed, Hogwarts will then move into rolling admissions season.
This year, Hogwarts School will host two Open Houses; Sunday, October 23 at 1:00 p.m. and Thursday, November 18 at 9:30 a.m. Open Houses are a fantastic way for prospective families to see the Hogwarts campus, learn about our compelling continuum, as well as meet staff, faculty and current students.
Required testing depends on the age of the child applying to attend Hogwarts. Once you have submitted an inquiry form, you will be able to access the Admissions Portal which includes a comprehensive list of all necessary testing and required forms.
Hogwarts School believes that qualified students who desire an education should not be denied that opportunity because of economic hardship. Thus, we are proud to offer financial aid (for new and existing Hogwarts families) that helps us provide a balanced school community and at the same time keep the school financially healthy. Please note that financial aid application for new families can only be processed if the student’s admissions application is complete.


Education
Oklahoma State University
Ed.D.
Higher Education Administration (1991)
New York University
M.S.
Biology (1969)
Newton College / Boston College
B.A. / B.S.
Biology (1967)
Instructional Experience
Rogers State University
Dept - Biological Sciences
(1989-2015)
Cellular Biology
Environmental Biology
General Biology
Science Proficiency
Los Angeles Valley College
Dept - Biological Sciences
(1977-1983)
General Biology
Anatomy
Physiology
University of California at Riverside
Dept - Biochemistry
(1969-1977)
General Biology
Biochemistry
New York University
Dept - Biology
(1967-1969)
General Biology
Professional Experience
Rogers State University
Campus Director (1994-2001)
Outreach Coordinator (1987-1994)
Los Angeles Valley College
Student Advisor (1977-1983)
University of California at Riverside
Staff Research Associate IV (1974-1977)
Staff Research Associate II (1969–1974)
New York University
NDEA Title IV Fellow (1968-1969)
Teaching Fellow (1967-1968)
Institute for Muscle Disease
Research Associate (1968-1969)
Organizations
Association for the Study of Higher Education
Community Education Advisory Council
Blue Thumb, Oklahoma Conservation Commission
Oklahoma District Regional Science Fair
Phi Kappa Phi
Sutton Avian Foundation
Certifications, Assignments and Service
Quality Matters Training
Advisement Workshops
Distance Education
Enrollment Management
Library
Safety
Scholarship Committee
Search Committees
Staff Evaluation
Program Assessment
Publications and Related Activities
Publications
(1.) "Multiple Chromatographic Forms of Rabbit Muscle Phosphoglucose Isomerase:
Artifacts, Conformers or Genetically Controlled Isoenzymes?", James, G.T.,
Blackburn, M.N., Chirgwin, J.M., Register, A.M., Schnackerz, K.D. and Noltmann, E.A.,
Abstracts of the Pacific Slope Biochemical Conference, San Diego, CA, 1970. p.51.
(2.) "Pseudoisoenzymes of Rabbit Muscle Phosphoglucose Isomerase", Blackburn, M.N.,
Chirgwin, J.M., James, G.T., Kempe, T.D., Parsons, T.F., Register, A.M.,
Schnackerz, K.D. and Noltmann, E.A., J. Biol. Chem., 247, 1170 (1970).
(3.) "A Zinc Containing Basic Protein from Skeletal Muscle with CO Hydrolase Activity",
Koester, M.K., Register, A.M. and Noltmann, E.A., Federation Proc., 36, 700 (1977).
(4.) "Basic Muscle Protein, a Third Genetic Locus Isoenzyme of Carbonic Anhydrase?",
Koester, M.K., Register, A.M. and Noltmann, E.A., Biochem. Biophys. Res. Comm., 76,
196204 (1977).
(5.) "Chromatographic Identification of a New Subform of Carbonic Anhydrase in Rabbit
Erythrocytes", Walther, H.C., Register, A.M. and Noltmann, E.A., Arch. Biochem. Biophys.,
184, 319327 (1977).
(6.) "Discovery of Carbonic Anhydrase in Rabbit Skeletal Muscle and Evidence for its
Identity with Basic Muscle Protein", Register, A.M., Koester, M.K. and Noltmann, E.A.,
J. Biol. Chem., 253, 41434152 (1978).
(7.) "Identification of Pseudoisoenzymic Subforms of Muscle Carbonic Anhydrase”,
Koester, M.K., Register, A.M. and Noltmann, E.A., Biochem. Biophys. Acta (1978).
Presentations
(1) Invited Presentation (Session I) February 22, 2002, eCollege User’s Conference:
“Improving eLearning: Building a Community of Educators”, Kansas City, KS.
(2) Online presentation: “Encouraging Student Involvement and Interaction in Online
Science Classes” published March 12, 2002, eCollege User’s Conference site.
Grants
Organized Faculty Research Grants from Rogers State University for the development of
online courses. (2003-2005)
(1) Invited Presentation (Session I) February 22, 2002, eCollege User’s Conference:
“Improving eLearning: Building a Community of Educators”, Kansas City, KS.
(2) Online presentation: “Encouraging Student Involvement and Interaction in Online
Science Classes” published March 12, 2002, eCollege User’s Conference site.


Explicitly adds annotations that are inferred by the IDE (
@Nullable
,
@NotNull
,
@Contract
) to your code. May require dependency to
org.jetbrains:annotations
package.


The CS109 Midterm is Tuesday Oct 30th from 7pm to 9pm in Dinklespiel Auditorium.
Info: The CS109 midterm is a 2 hour closed calculator/computer exam. You are, however, allowed to use notes or a textbook
in the exam. The last page of the exam is a Standard Normal Table, in case you need it. Make sure to practice before the exam.


Firefly
Art History 1010
Professor Chou
Foundations of CompSci
Professor Tshon
Underwater Basket Weaving
Professor Kname
+
Other Class


Currently, WebAuthn is only available to test on Firefox's Beta Build and Chrome's Dev Channel
Special instructions for Chrome:
Web Authentication API
Enabled


IRC - Independent Russian Chat
App doesn't store any of your messages, just choose a room and start chatting.
Name
Room
Connect
Your name:
You room:
Logout
Would you like to say something?
Send


Constitutive expression of HIV-1 tat protein in human Jurkat T cells using a BK virus vector.
Abstract
The production and characterization of Jurkat cell lines that constitutively express functional human immune deficiency virus type 1 (HIV-1) tat protein, using a BK virus plasmid expression vector and HIV-1 tat cDNA, is described. An increased growth rate of these Jurkat-tat cell lines as compared with control cell lines was observed.


Legendary Card: Lumberjack
Really feel bad for him.
Right when he started to popularize, Night Witch was released and basically, she out-classed him. Now, when Night Witch was finally nerfed and balanced, they buffed the Mini P.E.K.K.A. So, now Mini P.E.K.K.A. is dominating and LJ is still at the bottom of the list of 4 elixir tank killers.
He has insane attack speed and good damage, giving him the ability to deal high amounts of damage in a short amount of time. His death rage can be pretty punishing if many cards are placed behind him. But what he lacks is HP.
He isnít actually able to be the really deadly pressurizing card like the Bandit is, nor a decently tanky tank killer.
A single HP buff to make him a good mini tank as well as buffing the rage spell to indirectly buff LJ will make him a great card.
Currently he is strongest in Golem and Giant beatdown decks but can also be great due with Battle Ram and Hog Rider. Mega Knight counters him pretty easily while LJ doesnít do enough to counter MK on defense.


16.76K Since last month
5.96% Since yesterday
| Stock Ticker | Shares | Side | Type |
|---|---|---|---|
| ACN | 20 | buy | gtc |
| ABMD | 25 | buy | gtc |
| ABBV | 93 | buy | gtc |
| ABT | 120 | buy | gtc |
| MMM | 97 | buy | gtc |
| Stock | Price | Percent Increase |
|---|---|---|
| FEYE | 19.23$ |
33.73%
|
| LKNCY | 9.42$ |
28.16%
|
| BBAVF | 5.11$ |
27.75%
|
| UPST | 44.09$ |
23.26%
|
| TENB | 51.85$ |
21.14%
|


Greenworks Map: Sustainability Projects in Philadelphia
The Mayor’s Office of Sustainability implements Greenworks, Philadelphia’s comprehensive sustainability plan. Greenworks is comprised of 15 measurable targets across five focus areas: energy, environment, equity, economy, and engagement. This Greenworks mapping tool allows users to see sustainability work that has happened in Philadelphia’s neighborhood and to identify opportunities for future work.
Projects displayed on the map reflect the work completed by the City of Philadelphia and its partners from 2009 to 2015, the Greenworks implementation period. For more information about this work and the future of sustainability in Philadelphia, see the Greenworks 2015 Progress Report, available at www.phila.gov/green.


There are several ways in which you can create a module without
loading a module-file for it. One way to do this is by asserting
clauses into a specified module. For example, the command (A) will
create the dynamic predicate f/1
and the module m
if they did not
previously exist.
| ?- assert(m:f(x)). (A)
Another way to create a module dynamically is to compile a non-module-file into a specified module. For example (B), will compile the clauses in File into the module M.
| ?- compile(M:File). (B)
The same effect can be achieved by (temporarily) changing the type-in
module to M (see ref-mod-tyi) and then calling
compile(
File)
, or executing the command in module M as
in (C).
| ?- M:compile(File). (C)


Test localStorage
set, get or remove strings, integer and objects
Storage 1 (myStore)
Write
Read
Clear
Storage 2 (yourStore)
Write
Read
Clear
Raw data from localStorage
Read All
Clear All
...


"SaveMyPlant" is a project created by members of Polytechnique Mtl during the 48h Hackathon (February 5-7)
Here are our members :
Ayoub Chihab
Assistant TO the Machine Learning Developper
Xavier Dupuis
Web Design / Project Architecture / Angular Components
Julie-Anne Jaeggi
Web Design / Creative Developpment
Olivier Saint-Cyr
Project Architecture / Machine Learning Developper / Ai Architecture


Welcome,
Guest User
Add Project
Project Details
You can add a new project here, wherein you have to provide information about git repository and other details of project and schedule for daily runs etc
Last Step
Click on Finish to complete the process. Once Done, automatically tests will be executed everyday based on the inputs provided with latest code.
After completion, an email with the reports will be sent to the DL provided


Home
Product
Faq
Contact
Food app
Why stay hungry when you can order form Bella Onojie
Download the bella onoje’s food app now on
Playstore
App store
How the app works
Create an account
Create/login to an existing account to get started
An account is created with your email and a desired password


Steg as a service
Select a file, enter the passphrase, and we'll try to extract hidden contents using your file and passphrase!
Steg file:
Passphrase:


scanthng.js Test App
Choose options below as required, then scan a barcode or recognise an EVRYTHNG product with the device's video stream.
Start Camera
No results yet.
Redirect when an URL is decoded
Scan Type
QR Codes (native)
Image Recognition (API)
Other Codes (API)
Application API Key
The 'app' query parameter can be used to prefill the API key above.


Setting
Working on becoming a full stack dev!
FoodBuzz
Whether Weather
Planner
Day Planner
Sweepers
Keep It Clean
Bottled Up
Blog It


A Prolog program consists of a sequence of sentences. Each
sentence is a Prolog term. How sentences are interpreted as
terms is defined in ref-syn-syn-sen, below. Note that a
term representing a sentence may be written in any of its equivalent
syntactic forms. For example, the functor :-/2
could be written
in standard prefix notation instead of as the usual infix operator.
Terms are written as sequences of tokens. Tokens are sequences of characters, which are treated as separate symbols. Tokens include the symbols for variables, constants, and functors, as well as punctuation characters such as parentheses and commas.
The interpretation of sequences of tokens as terms is defined in ref-syn-syn-trm. Each list of tokens that is read in (for interpretation as a term or sentence) must be terminated by a full-stop (a period followed by a layout character such as newline or space) token. Two tokens must be separated by a space if they could otherwise be interpreted as a single token. Both spaces and comments are ignored when interpreting the token list as a term. A comment may appear at any point in a token list (separated from other tokens by spaces where necessary).
The interpretation of sequences of characters as tokens is defined on ref-syn-syn-tok. The next section describes the notation used in the formal definition of Prolog syntax.


"My name is Christopher Natale. I am a legal professional with an interest in coding and the capacity for technology to shape the provision of traditional legal services. I believe that technology could increase access to justice and result in better quality legal services. If you share my interest in finding the nexus between law and technology, I would love to hear from you!!"


InfInITy is IIIT Pune's annual flagship coding contest hosted every year on Codechef. A 3 hour coding contest
that's guaranteed to get your head itching and your heart wanting more. InfInITy started in 2017 and
was limited only to IIIT Pune. Last year, InfInITy was made open to everyone and witnessed more than 2000
submissions all over the globe within 3 hours. Himanshu Jaju (Google) was the global winner last
year.
The contest follows ACM style scoring and consists of problems
designed for particpants ranging from
beginners to experts. Anyone having a knack for coding is encouraged to participate.
Follow us on:


Hello, we’re Fresh_food, your new premium food delivery service. We know you’re always busy. No time for cooking. So let us take care of that, we’re really good at it, we promise!
Price: 150tk / piece
Price: 90tk / Quarter piece
Size: (10.5in) Price: 750tk / piece
Price: 150tk / piece
Price: 90tk / Quarter piece
Size: (10.5in) Price: 750tk / piece
Choose the subscription plan that best fits your needs and sign up today.
Order your delicious Pizza using our website. Or you can even call us!
Enjoy your meal after less than 20 minutes. See you the next time!
Pizza Inn is just awesome! I just develeop a cooking Phobia , so Pizza is a life-saver. Now that I got used to it, I couldn't live without my daily meals! morgan


| Interface | Description |
|---|---|
| Constants |
This interface can be implemented by any
class that needs to use the constants contained herein. |
| DriverDelegate |
This is the base interface for all driver delegate classes.
|
| JobStoreSupport.TransactionCallback<T> |
Implement this interface to provide the code to execute within
the a transaction template.
|
| JobStoreSupport.TransactionValidator<T> | |
| Semaphore |
An interface for providing thread/resource locking in order to protect
resources from being altered by multiple threads at the same time.
|
| StdJDBCConstants |
This interface extends
to include the query string constants in use by the
class. |
| TablePrefixAware |
Interface for Quartz objects that need to know what the table prefix of
the tables used by a JDBC JobStore is.
|
| TriggerPersistenceDelegate |
An interface which provides an implementation for storing a particular
type of
Trigger 's extended properties. |
| Class | Description |
|---|---|
| AttributeRestoringConnectionInvocationHandler |
Protects a
's attributes from being permanently modfied. |
| CacheDelegate |
This is a driver delegate for Intersystems Caché database.
|
| CalendarIntervalTriggerPersistenceDelegate | |
| CronTriggerPersistenceDelegate | |
| CUBRIDDelegate |
This is a driver delegate for the CUBRID JDBC driver.
|
| DailyTimeIntervalTriggerPersistenceDelegate |
Persist a DailyTimeIntervalTrigger by converting internal fields to and from
SimplePropertiesTriggerProperties.
|
| DB2v6Delegate |
Quartz JDBC delegate for DB2 v6 databases.
|
| DB2v7Delegate |
Quartz JDBC delegate for DB2 v7 databases.
|
| DB2v8Delegate |
Quartz JDBC delegate for DB2 v8 databases.
|
| DBSemaphore |
Base class for database based lock handlers for providing thread/resource locking
in order to protect resources from being altered by multiple threads at the
same time.
|
| FiredTriggerRecord |
Conveys the state of a fired-trigger record.
|
| HSQLDBDelegate |
This is a driver delegate for the HSQLDB database.
|
| JobStoreCMT |
JobStoreCMT is meant to be used in an application-server
environment that provides container-managed-transactions. |
| JobStoreSupport |
Contains base functionality for JDBC-based JobStore implementations.
|
| JobStoreSupport.RecoverMisfiredJobsResult |
Helper class for returning the composite result of trying
to recover misfired jobs.
|
| JobStoreTX |
JobStoreTX is meant to be used in a standalone environment. |
| JTANonClusteredSemaphore |
Provides in memory thread/resource locking that is JTA
aware. |
| MSSQLDelegate |
This is a driver delegate for the MSSQL JDBC driver.
|
| PointbaseDelegate |
This is a driver delegate for the Pointbase JDBC driver.
|
| PostgreSQLDelegate |
This is a driver delegate for the PostgreSQL JDBC driver.
|
| SchedulerStateRecord |
Conveys a scheduler-instance state record.
|
| SimplePropertiesTriggerPersistenceDelegateSupport |
A base implementation of
TriggerPersistenceDelegate that persists
trigger fields in the "QRTZ_SIMPROP_TRIGGERS" table. |
| SimplePropertiesTriggerProperties | |
| SimpleSemaphore |
Internal in-memory lock handler for providing thread/resource locking in
order to protect resources from being altered by multiple threads at the
same time.
|
| SimpleTriggerPersistenceDelegate | |
| StdJDBCDelegate |
This is meant to be an abstract base class for most, if not all,
implementations. |
| StdRowLockSemaphore |
Internal database based lock handler for providing thread/resource locking
in order to protect resources from being altered by multiple threads at the
same time.
|
| SybaseDelegate |
This is a driver delegate for the Sybase database.
|
| TriggerPersistenceDelegate.TriggerPropertyBundle | |
| TriggerStatus |
Object representing a job or trigger key.
|
| UpdateLockRowSemaphore |
Provide thread/resource locking in order to protect
resources from being altered by multiple threads at the same time using
a db row update.
|
| Util |
This class contains utility functions for use in all delegate classes.
|
| WebLogicDelegate |
This is a driver delegate for the WebLogic JDBC driver.
|
| Exception | Description |
|---|---|
| InvalidConfigurationException |
Exception class for when a driver delegate cannot be found for a given
configuration, or lack thereof.
|
| LockException |
Exception class for when there is a failure obtaining or releasing a
resource lock.
|
| NoSuchDelegateException |
Exception class for when a driver delegate cannot be found for a given
configuration, or lack thereof.
|
Copyright 2001-2019, Terracotta, Inc.


Photo Of Shatta Bandle’s Alleged Brother Pops Up On The Internet
by BB JonesA photo of another ‘short man devil’ has popped up on social media and from all indications he’s not related not Shatta Bandle.
And unlike Shatta Bandle, he’s not here to make wild utterances and brag, he just love to vibe with Bandle as most of the photos which are floating on the internet depict.
The guy is also a friend of Lilwin who revealed that the new midget is called Kwame Ahenfie and he is the CEO of ‘Pain Makes Men Think’.
Kwame Ahenfie loves to have fun and hang around with beautiful women.
See below;


News story
Apprentices from across the country have been competing to become apprentice team of the year finalists in the Brathay Apprentice Challenge.
The finalists are apprentices from:
The teams taking part in the challenge have spread the word about apprenticeships to employers across England and recruited nearly 300 businesses to start offering apprenticeships.
As part of the challenge the apprentice teams have also reached out to their local communities and delivered 45 community projects to benefit young people, from renovation projects to creating volunteering opportunities for young people.
In addition, the teams visited more than 320 schools, career fairs and youth groups to encourage young people to consider apprenticeships.
The national finalists will now continue awareness raising activities until mid June, when they will be invited to Brathay Trust’s Windermere headquarters for the logistical and teambuilding finale where the apprentice team of the year will be announced.
Sue Husband, Director of the National Apprenticeship Service, said:
The apprentice team of the year national finals demonstrate the skills, knowledge and desire to succeed from apprentices; and this continues to inspire others and impress us in equal measure. It is great to see apprentices put in the hard work to get the recognition they deserve, highlighting how apprenticeships benefit not only young people themselves, but their employers and their local community too.
Speaking at the House of Commons for the national finalists announcement, Godfrey Owen, Chief Executive of Challenge organisers, Brathay Trust, said:
All of the teams that have taken part have worked really hard and the quality of the portfolios increases year on year. We look forward to the final stage of the challenge when we can welcome the national finalists to Brathay in June.
For more information on the Brathay Apprentice Challenge visit brathay.org.uk/challenge .


Wall collapse toll mounts to five
by Staff ReporterA week after suffering critical injuries in a wall collapse tragedy, Majid succumbed at Osmania General Hospital here on Sunday, taking the death toll to five. Doctors said he had suffered multiple fractures and respiratory failure. He was put on mechanical ventilator support during treatment.
On November 10, four people were killed during a marriage ceremony at Pearl Garden Function Hall while waiting near the parking area after lunch. Police said the foundation of the wall was so poor that it could not take the weight of recent renovations and resulted in the tragedy.


Christmas ham prices may soar in Australia
by Christine McGinnAustralians may have to fork out up to 60 per cent more for their Christmas hams this year due to a shortage of pork, an industry spokesman says.
The cost of pork could rise thanks to a surge in exports after African swine fever decimated pig herds across Europe and Asia, Victorian Farmers Federation’s Tim Kingma says.
“There definitely is a shortage of pork around the world. The last two years, the actual hams at Christmas have been fairly cheap,” the pig farmer told 3AW radio on Monday.
“Because we’ve had the droughts the costs have been more.
“We’ve actually lost over 10 per cent more of the industry – peak family farmers have gone out, so there is scope to improve and for those people to come back into the industry.”
African swine fever is an untreatable, infectious virus that affects domestic pigs, warthogs and bush pigs and kills within days.
It can be spread when pigs eat infected meat products and through direct contact.
Humans cannot be infected but authorities predict the disease will eradicate up to a quarter of the global pig stocks and obliterate Asian piggeries.
There’s no vaccine or cure for the disease.
There is estimated to be up to 24 million wild boars across Australia, sparking fears the disease could spread quickly if it gets into the wild.
If a local outbreak occurred, it could cost the Australian pork industry $2 billion.
-AAP


Hiring and training employees only to see them walk out the door is expensive. DDSAnalytics would like to give companies the foresight in predicting employee attrition. In this analysis we will identify potential characteristics of attrition and estimate the salary of employees. We found that Overtime was disproportionate in employees that left the company. Lower Job Levels and Job Satifaction also contritbute to Attrition. Ensuring employees have a way to go up in level could be one way to mitigate Attrition. Considering the disproportionate amount of Overtime in those who chose to leave, it is important to pay attention to the job satisfaction of lower level employees who may be new to a position.
This analysis will begin with a review of the data from 870 employees used to predict the outcomes for the provided competition set. First we will look at the top three fields in each prediction section: Attrition and Salary (MonthlyRate). We scaled numeric values for comparison. K-Nearest neighbors is used for the Attrition Model looking at: Overtime, Job Satisfaction, and Job Level. For the Salary, we estimated this using Linear Regression looking at: Age, Job Satisfaction, and Job Level.
Reading in the data for training
jobs = read.csv("CaseStudy2-data.csv",header = TRUE)
We found no missing values in the dataset. This allows us to use every row in considering which fields to consider in our analysis.
Max. :3.0000
##
## TotalWorkingYears TrainingTimesLastYear WorkLifeBalance YearsAtCompany
## Min. : 0.00 Min. :0.000 Min. :1.000 Min. : 0.000
## 1st Qu.: 6.00 1st Qu.:2.000 1st Qu.:2.000 1st Qu.: 3.000
## Median :10.00 Median :3.000 Median :3.000 Median : 5.000
## Mean :11.05 Mean :2.832 Mean :2.782 Mean : 6.962
## 3rd Qu.:15.00 3rd Qu.:3.000 3rd Qu.:3.000 3rd Qu.:10.000
## Max. :40.00 Max. :6.000 Max. :4.000 Max. :40.000
##
## YearsInCurrentRole YearsSinceLastPromotion YearsWithCurrManager
## Min. : 0.000 Min. : 0.000 Min. : 0.00
## 1st Qu.: 2.000 1st Qu.: 0.000 1st Qu.: 2.00
## Median : 3.000 Median : 1.000 Median : 3.00
## Mean : 4.205 Mean : 2.169 Mean : 4.14
## 3rd Qu.: 7.000 3rd Qu.: 3.000 3rd Qu.: 7.00
## Max. :18.000 Max. :15.000 Max. :17.00
##
originalJobs <- jobs
R Libraries we will use for our analysis
##
## Attaching package: 'reshape2'
## The following object is masked from 'package:tidyr':
##
## smiths
## Registered S3 method overwritten by 'GGally':
## method from
## +.gg ggplot2
##
## Attaching package: 'GGally'
## The following object is masked from 'package:dplyr':
##
## nasa
For Attrition this was Overtime, Job Satisfaction, and Job Level For Salary, we switched Overtime for Age.
##
plot: [1,1] [==>-----------------------------------------------] 6% est: 0s
plot: [1,2] [=====>--------------------------------------------] 12% est: 1s
plot: [1,3] [========>-----------------------------------------] 19% est: 2s
plot: [1,4] [===========>--------------------------------------] 25% est: 2s
plot: [2,1] [===============>----------------------------------] 31% est: 2s
plot: [2,2] [==================>-------------------------------] 38% est: 2s
plot: [2,3] [=====================>----------------------------] 44% est: 2s
plot: [2,4] [========================>-------------------------] 50% est: 1s
plot: [3,1] [===========================>----------------------] 56% est: 1s `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
##
plot: [3,2] [==============================>-------------------] 62% est: 1s `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
##
plot: [3,3] [=================================>----------------] 69% est: 1s
plot: [3,4] [=====================================>------------] 75% est: 1s
plot: [4,1] [========================================>---------] 81% est: 0s `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
##
plot: [4,2] [===========================================>------] 88% est: 0s `stat_bin()` using `bins = 30`.  Despite being less than half the number that didn’t leave(“No”), the group that left were nearly split in half between overtime and Not
summary(jobs$OverTime)
## No Yes
## 618 252
jobs %>% ggplot(aes(x=OverTime)) + geom_histogram(stat="count",mapping = aes(color=Attrition, fill=Attrition)) + ggtitle("Attrition vs Over Time")
## Warning: Ignoring unknown parameters: binwidth, bins, pad
jobs %>% ggplot(aes(x=JobSatisfaction)) + geom_histogram(stat="count",mapping = aes(color=Attrition, fill=Attrition)) + ggtitle("Attrition vs Job Satisfaction")
## Warning: Ignoring unknown parameters: binwidth, bins, pad
Scaling the numeric variables allows us to compare each row to the variation in the overall dataset. We did this by subtracting the mean of that field, then dividing by the standard deviation.
jobs<-originalJobs
dummyBoolean <- function(boolean) {
bool <- 0
if(grepl('Yes', boolean,ignore.case = TRUE))
{bool <-1}
bool
}
transformFields <- function(dataset){
dummied_overTime <- dataset %>% mutate(OverTimeDummy =sapply(OverTime, dummyBoolean,simplify = TRUE))
scaledYear <- dummied_overTime %>% mutate(scaledYears = (YearsInCurrentRole - mean(YearsInCurrentRole)) / sd(YearsInCurrentRole))
scaledJobs <- scaledYear %>% mutate(scaledJobLevel = (JobLevel - mean(JobLevel)) / sd(JobLevel))
scaledSatis <- scaledJobs %>% mutate(scaledJobSatisfaction = (JobSatisfaction - mean(JobSatisfaction)) / sd(JobSatisfaction))
scaledMI <- scaledSatis %>% mutate(scaledMI = (MonthlyIncome - mean(MonthlyIncome)) / sd(MonthlyIncome))
scaledA <- scaledMI %>% mutate(scaledAge = (Age - mean(Age)) / sd(Age))
scaledA
}
jobs <- transformFields(jobs)
Scaling the variables allowed us to compare variable that had responses 1-4 (Job Satisfaction) to something with a scale of 18-60 (Age)
jobs %>% select(Attrition, OverTime, scaledJobLevel, scaledJobSatisfaction) %>% ggpairs(mapping = aes(color=Attrition)) + ggtitle("Attrition vs Over Time, Scaled Job Level and Job Satisfaction")
##
plot: [1,1] [==>-----------------------------------------------] 6% est: 0s
plot: [1,2] [=====>--------------------------------------------] 12% est: 1s
plot: [1,3] [========>-----------------------------------------] 19% est: 1s
plot: [1,4] [===========>--------------------------------------] 25% est: 2s
plot: [2,1] [===============>----------------------------------] 31% est: 2s
plot: [2,2] [==================>-------------------------------] 38% est: 1s
plot: [2,3] [=====================>----------------------------] 44% est: 1s
plot: [2,4] [========================>-------------------------] 50% est: 1s
plot: [3,1] [===========================>----------------------] 56% est: 1s `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
##
plot: [3,2] [==============================>-------------------] 62% est: 1s `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
##
plot: [3,3] [=================================>----------------] 69% est: 1s
plot: [3,4] [=====================================>------------] 75% est: 1s
plot: [4,1] [========================================>---------] 81% est: 0s `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
##
plot: [4,2] [===========================================>------] 88% est: 0s `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
##
plot: [4,3] [==============================================>---] 94% est: 0s
plot: [4,4] [==================================================]100% est: 0s
jobs %>% select(MonthlyRate,scaledAge,scaledJobLevel, scaledJobSatisfaction) %>% ggpairs() + ggtitle("Monthly Rate vs Scaled Age, Job Level and Job Satisfaction")
## plot: [1,1] [==>-----------------------------------------------] 6% est: 0s
## plot: [1,2] [=====>--------------------------------------------] 12% est: 0s
## plot: [1,3] [========>-----------------------------------------] 19% est: 0s
## plot: [1,4] [===========>--------------------------------------] 25% est: 0s
## plot: [2,1] [===============>----------------------------------] 31% est: 0s
## plot: [2,2] [==================>-------------------------------] 38% est: 0s
## plot: [2,3] [=====================>----------------------------] 44% est: 0s
## plot: [2,4] [========================>-------------------------] 50% est: 0s
## plot: [3,1] [===========================>----------------------] 56% est: 0s
## plot: [3,2] [==============================>-------------------] 62% est: 0s
## plot: [3,3] [=================================>----------------] 69% est: 0s
## plot: [3,4] [=====================================>------------] 75% est: 0s
## plot: [4,1] [========================================>---------] 81% est: 0s
## plot: [4,2] [===========================================>------] 88% est: 0s
## plot: [4,3] [==============================================>---] 94% est: 0s
## plot: [4,4] [==================================================]100% est: 0s
We will use the K-Nearest Neighbors model to evaluate datapoints ‘close’ to what we are trying to predict. Using the scaled values allows us to make this better reflect the variance within our dataset.
#Identify the best k
#Set Split percentages for train and test sets
set.seed(10)
splitPerc = .8
#loop through values of k to find best model on 100 generated train/test combos
iterations = 50
numks = 80
masterSpec = matrix(nrow = iterations, ncol = numks)
masterSensitivity = matrix(nrow = iterations, ncol = numks)
fieldToTest = c("scaledJobLevel","OverTimeDummy", "scaledJobSatisfaction")
for(j in 1:iterations)
{
trainIndices = sample(1:dim(jobs)[1],round(splitPerc * dim(jobs)[1]))
train = jobs[trainIndices,]
test = jobs[-trainIndices,]
for(i in 1:numks)
{
classifications = knn(train[,fieldToTest],test[, fieldToTest],train$Attrition, prob = TRUE, k = i)
CM = confusionMatrix(table(classifications,test$Attrition))
masterSensitivity[j,i] = CM$byClass[1]
masterSpec[j,i] = CM$byClass[2]
}
}
We can see that the Sensitivity goes up as we expand K. This is because the ‘Positive’ class being measured is those who did not leave. This portion of the population is much higher than those that left. While testing, we saw these high k values returning ‘No’ for all datapoints. Specificity is the most important, as we are looking for the employees where attrition is “Yes”. Therefore, we prioritized setting the k to maximize the True Negative rate.
MeanSen = colMeans(masterSensitivity)
#plot k vs accuracy and identify k with highest accuracy
plot(seq(1,numks,1),MeanSen, type = "l", main="Sensitivity of KNN model vs K value")
MeanSpec = colMeans(masterSpec)
#plot k vs accuracy and identify k with highest accuracy
plot(seq(1,numks,1),MeanSpec, type = "l", main="Specificity of KNN model vs K value")
paste("Highest Sensitivity K Value is ", which.max(MeanSen))
## [1] "Highest Sensitivity K Value is 69"
paste("Highest Specificity K Value is ", which.max(MeanSpec))
## [1] "Highest Specificity K Value is 24"
Using the K Value from the Highest Specificity, we attained specificitys ranging from .26-.27. As we increased the training set size, this went up and we expect higher values in the true test set.
#knn classification using the tuned value of k
set.seed(10)
trainIndices = sample(1:dim(jobs)[1],round(splitPerc * dim(jobs)[1]))
trainjobs = jobs[trainIndices,]
testjobs = jobs[-trainIndices,]
classif <- knn(trainjobs[,fieldToTest],testjobs[,fieldToTest],trainjobs$Attrition, prob=TRUE, k=27)
confusionMatrix(table(classif,testjobs$Attrition))
## Confusion Matrix and Statistics
##
##
## classif No Yes
## No 141 19
## Yes 7 7
##
## Accuracy : 0.8506
## 95% CI : (0.7888, 0.9)
## No Information Rate : 0.8506
## P-Value [Acc > NIR] : 0.55207
##
## Kappa : 0.2741
##
## Mcnemar's Test P-Value : 0.03098
##
## Sensitivity : 0.9527
## Specificity : 0.2692
## Pos Pred Value : 0.8812
## Neg Pred Value : 0.5000
## Prevalence : 0.8506
## Detection Rate : 0.8103
## Detection Prevalence : 0.9195
## Balanced Accuracy : 0.6110
##
## 'Positive' Class : No
##
Given the set competition set, we will now apply this KNN model to the that dataset and save it for running against the correct values later. Given that as the split of our training set went up our specificity increased. We expect to see slightly higher specificty in this set.
competitionAttrition = read.csv("CaseStudy2CompSet No Attrition.csv",header = TRUE)
compdummied_overTime <- competitionAttrition %>% mutate(OverTimeDummy =sapply(OverTime, dummyBoolean,simplify = TRUE))
compscaledYear <- compdummied_overTime %>% mutate(scaledYears = (YearsInCurrentRole - mean(YearsInCurrentRole)) / sd(YearsInCurrentRole))
compscaledJobs <- compscaledYear %>% mutate(scaledJobLevel = (JobLevel - mean(JobLevel)) / sd(JobLevel))
compscaledSatis <- compscaledJobs %>% mutate(scaledJobSatisfaction = (JobSatisfaction - mean(JobSatisfaction)) / sd(JobSatisfaction))
compscaledA <- compscaledSatis %>% mutate(scaledAge = (Age - mean(Age)) / sd(Age))
scaledCompetitionAttrition = compscaledA
classif <- knn(jobs[,fieldToTest],scaledCompetitionAttrition[,fieldToTest],jobs$Attrition, prob=TRUE, k=27)
datafromeWithClass <- data.frame(scaledCompetitionAttrition$ID,data.frame(classif))
write.csv(datafromeWithClass, file="Case2PredictionsLayne AttritionTEST.csv",row.names = FALSE)
summary(jobs$MonthlyRate)
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 2094 8092 14074 14326 20456 26997
jobs %>% ggplot(aes(x=MonthlyRate)) + geom_histogram(color="black", fill="white",bins = 30) + ggtitle("Salary Distribution")
Our mean of running this linear regression model 1000 times to compare models with different scaled and dummy coded variables. The highest correlated variables to Montly Rate did not always result in a larger
numMSPEs = 1000
RMSEHolderModel1 = numeric(numMSPEs)
for (i in 1:numMSPEs)
{
TrainObs = sample(seq(1,dim(jobs)[1]),round(.8*dim(jobs)[1]),replace = FALSE)
jobsTrain = jobs[TrainObs,]
jobsTest = jobs[-TrainObs,]
Model1_fit = lm(MonthlyRate ~ scaledAge + scaledJobLevel +scaledJobSatisfaction, data=jobsTrain)
Model1_Preds = predict(Model1_fit, newdata = jobsTest)
#MSPE Model 1
RMSE = sqrt(mean((Model1_Preds - jobsTest$MonthlyRate)^2))
RMSEHolderModel1[i] = RMSE
}
mean(RMSEHolderModel1)
## [1] 7111.594
We will now export the competition dataset for predictions
competitionSalary = read.csv("CaseStudy2CompSet No Salary.csv",header = TRUE)
compSalarydummied_overTime <- competitionSalary %>% mutate(OverTimeDummy =sapply(OverTime, dummyBoolean,simplify = TRUE))
compSalaryscaledYear <- compSalarydummied_overTime %>% mutate(scaledYears = (YearsInCurrentRole - mean(YearsInCurrentRole)) / sd(YearsInCurrentRole))
compSalaryscaledJobs <- compSalaryscaledYear %>% mutate(scaledJobLevel = (JobLevel - mean(JobLevel)) / sd(JobLevel))
compSalaryscaledSatis <- compSalaryscaledJobs %>% mutate(scaledJobSatisfaction = (JobSatisfaction - mean(JobSatisfaction)) / sd(JobSatisfaction))
compSalaryscaledA <- compSalaryscaledSatis %>% mutate(scaledAge = (Age - mean(Age)) / sd(Age))
scaledCompetitionSalary = compSalaryscaledA
Model_fit = lm(MonthlyRate ~ scaledAge + scaledJobLevel + scaledJobSatisfaction , data=jobs)
Competition_Preds = predict(Model_fit,newdata = scaledCompetitionSalary)
dfpreds <- data.frame(Competition_Preds)
datafromeWithPred<- data.frame(scaledCompetitionSalary$ID,dfpreds)
write.csv(datafromeWithPred, file = "Case2PredictionsLayne SalaryTEST.csv", row.names = FALSE, na="")


Tattoo visualiser | Click or tap and drag to rotate, mouse wheel or pinch to zoom, click or tap to place the Tattoo.
Upload a new tattoo:


Luke Combs' 'What You See is What You Get' tops the U.S. album chart
by Karen ButlerNov. 23 (UPI) -- Country music star Luke Combs' What You See is What You Get is No. 1 on the U.S. album chart.
Coming in at No. 2 on the Billboard 200 roster dated Saturday is Post Malone's Hollywood's Bleeding, followed by YoungBoy Never Broke Again's Al YoungBoy 2 at No. 3, Summer Walker's Over It at No. 4 and Taylor Swift's Lover at No. 5.
Rounding out the top tier are Kanye West's Jesus is King at No. 6, DaBaby's Kirk at No. 7, Billie Eilish's When We All Fall Asleep, Where Do We Go? at No. 8, Young Thug's So Much Fun and Rod Wave's Ghetto Gospel at No. 10.


Such constructors can be thought of as implicitly beginning with a
call to super()
. Some coding standards prefer that such calls to
super()
be made explicitly.
Example:
class Foo {
Foo() {}
}
After the quick-fix is applied:
class Foo {
Foo() {
super();
}
}
Use the inspection settings to ignore classes extending directly from Object
.
For instance:
class Foo {
Foo() {} // Not reported
}
class Bar extends Foo {
Bar() {} // Implicit call to 'super()'
}


--- layout: page title: Documentation bodyClass: home description: Developer docs for our Hub of All Things API. ---


Display margin
The margin is the spending power available for ordering. Margin might be calculated per account, per account group, or on client level. This depends on the account settings.This demo shows how to calculate this.
Response:
Click button to launch function.
JS code:
Click button to show code.


?6
7
8
9
10
_
XT
-
.
The
New
York
copyright
reserved
Botanical
Garden
JARDIN
BOTANICO
NACIONAL
"DR.
RAFAEL
M.
MOSCOSO'
SANTO
DOMINGO.
REPUBLICA
DOMINICANA
14Z82famil.a
.
Rhisophoraceae
Y”^
BOTANICAL
GARDEN
New
York
Botanical
Garden
IbSMGftb
Rhizophora
mangle
L.
8
to
10
m.
tall
trees
at
river-edge.
Repblica
Dominicana:
Prov.
La
Romana:
Rio
Cumayasa
river
valley,
just
N
of
town
of
Boca
de
Cumayasa,
on
SW
side
of
River
mouth;
dry
broadleaf
forest
on
limestone
above
river
and
on
slopes,
Rhizophora
mangroves
along
river
edge
here.
18”25'N,
69”06'W,
alt.
0
to
20
m.
June
11,
1981.
M.
Mejia,
C.
Ramirez.
1624086
Legend -
Level of confidence that token is an accurately-transcribed word
extremely low
very low
low
undetermined
medium
high
very high


You're protected by ZenMate
Buy ZenMate Premium for only 6.49 with turbo speed for HD quality streaming!
Get Premium
Remind me later


Gateway
BOT
09-Jul-18 02:42 PM
[dscrdeql] <DaylightHours> What
[dscrdeql] <donaldmathers> I just like saying heck lol
[dscrdeql] <donaldmathers> Reminds me of the doge dog lol
[dscrdeql] <MySoulisNotForSale> why are people typing 10x in tipsy rain room
[dscrdeql] <DaylightHours> Stay active?
[dscrdeql] <SwimedDragon> I asked the same, and now I might start doing the same
[dscrdeql] <DaylightHours> Make no sense
[dscrdeql] <donaldmathers> 10x
[dscrdeql] <donaldmathers> Thanks
[dscrdeql] <DaylightHours> 10x durrrr
[dscrdeql] <DaylightHours> Tenks
[dscrdeql] <DaylightHours> Not thanks
[dscrdeql] <donaldmathers> Lol
[dscrdeql] <AndronicusBass-Founder> phonetically sounds the same
[dscrdeql] <MySoulisNotForSale> not relly
[dscrdeql] <AndronicusBass-Founder> well similar, jeez, thanks mom lol
[dscrdeql] <MySoulisNotForSale> ughh
[dscrdeql] <AndronicusBass-Founder> Luv ya
[dscrdeql] <MySoulisNotForSale> lol
[dscrdeql] <AndronicusBass-Founder>
[dscrdeql] <DaylightHours> Lol.. Tenkks
[dscrdeql] <AndronicusBass-Founder> 10x
[dscrdeql] <donaldmathers> Lmaoo
[dscrdeql] <donaldmathers> 10x alot
[dscrdeql] <!!! Thorth !!!> welcome
[dscrdeql] <!!! Thorth !!!>
[dscrdeql] <donaldmathers>
[dscrdeql] <!!! Thorth !!!> is the same like "u2 - you to"
[dscrdeql] <!!! Thorth !!!>
[dscrdeql] <donaldmathers> You too
[dscrdeql] <donaldmathers> Or U2
[dscrdeql] <donaldmathers> The band
[dscrdeql] <AndronicusBass-Founder> Tanks
[dscrdeql] <donaldmathers> Tanks much
[dscrdeql] <AndronicusBass-Founder> many tanks
[dscrdeql] <donaldmathers> Lots of tanks
[dscrdeql] <donaldmathers> Wow such tanks
[dscrdeql] <donaldmathers> Many wows
[dscrdeql] <AndronicusBass-Founder> I'll get back to it, I will be around, much work to do, wow
[dscrdeql] <donaldmathers> Many works
[dscrdeql] <donaldmathers> Such wow
[dscrdeql] <donaldmathers> Thanks many!
[dscrdeql] <tanya> i am trying to delay all the work i need to do today
[dscrdeql] <donaldmathers> I just wana be home I’m tired and sunburnt
[dscrdeql] <AndronicusBass-Founder> Discord is good at killing time lol. Still, it's part of my work which is why I'll always be around
[dscrdeql] <AndronicusBass-Founder> When I'm not sleeping
[dscrdeql] <SwimedDragon> It's really great to see someone of the team around
[dscrdeql] <SwimedDragon> I often read only and I love to see you're alway's around
[dscrdeql] <tanya> just checked my xp and am close to apprentice
[dscrdeql] <linkara6669> how is everyone doing?
[dscrdeql] <tanya> delaying the inevitable
[dscrdeql] <SwimedDragon> Doing good, making dinner from leftovers
[dscrdeql] <SwimedDragon> How about you?
[dscrdeql] <!!! Thorth !!!> ok ... official i'm an IDIOT
[dscrdeql] <SwimedDragon> @!!! Thorth !!! Why?
[dscrdeql] <!!! Thorth !!!> i cannot exchange 1 EQL to KMD and i'm trying all the idea... i withdraw all my EQL to my agama and waiting... and holding
[dscrdeql] <linkara6669> @SwimedDragon doin well here!
[dscrdeql] <AndronicusBass-Founder> @SwimedDragon Thankyou, although sometimes I wont respond immediately as I have turned off notifications, I will check frequently.
[dscrdeql] <donaldmathers> Hey @linkara6669
[dscrdeql] <!!! Thorth !!!> not even buying EQL i cannot
[dscrdeql] <!!! Thorth !!!>
[dscrdeql] <AndronicusBass-Founder> @tanya have you ever heard the saying "tomorrow never comes"?
[dscrdeql] <!!! Thorth !!!> does this barterDEX work for somebody ?
[dscrdeql] <!!! Thorth !!!> i try to sell to buy ...
[dscrdeql] <cypherzero> Is it possible to deduce EQL in agama?
[dscrdeql] <!!! Thorth !!!> even my own
[dscrdeql] <!!! Thorth !!!> but nothing
[dscrdeql] <!!! Thorth !!!> i cannot nothing
[dscrdeql] <!!! Thorth !!!>
[dscrdeql] <!!! Thorth !!!> ps somebody give me a manual ...
[dscrdeql] <!!! Thorth !!!> no succes with that
[dscrdeql] <AndronicusBass-Founder> The dICO ended so there isnt any for sale at the moment. Unless someone has a sale order of their own EQL ready for atomic swap, you cant get any until we are on other exchanges.
[dscrdeql] <cypherzero> Have you tried Hyperdex?
[dscrdeql] <!!! Thorth !!!> on HyperDEX nothing
[dscrdeql] <!!! Thorth !!!> is empty
[dscrdeql] <!!! Thorth !!!> on HyperDEX what is works si Chips to Kmodo
[dscrdeql] <!!! Thorth !!!>
[dscrdeql] <AndronicusBass-Founder> And your coin has to be activated in native mode.
[dscrdeql] <!!! Thorth !!!> btw
[dscrdeql] <!!! Thorth !!!> for agama
[dscrdeql] <!!! Thorth !!!> native
[dscrdeql] <!!! Thorth !!!> what param for deamon
[dscrdeql] <!!! Thorth !!!> :"
[dscrdeql] <!!! Thorth !!!> none ?
[dscrdeql] <tanya> @AndronicusBass-Founder was away, i know its an old movie. but not as a saying
[dscrdeql] <!!! Thorth !!!> at last my mind tell me this
[dscrdeql] <AndronicusBass-Founder> none
[dscrdeql] <donaldmathers>
[dscrdeql] <cypherzero> I have a number of equalizers on the balance in the discord
Can I bring them to my agama?
[dscrdeql] <AndronicusBass-Founder> only time you need to use param for example if the coin you are activating doesnt sync the entire chain to latest block, rescan is helpful.
[dscrdeql] <AndronicusBass-Founder> yes you can.
[dscrdeql] <AndronicusBass-Founder> go to tipsy in DM and type command ?withdraw she will explain
[dscrdeql] <!!! Thorth !!!> yeap @cypherzero
[dscrdeql] <!!! Thorth !!!> u can
[dscrdeql] <AndronicusBass-Founder> @tanya when people say they will do something tomorrow or will do something later, that saying correlates to that. "tomorrow never comes" because as humans, we are good at procrastinating and putting things off lol. sorry I thing I am distracting you.


Write a function:
def solution(A, B, K)
that, given three integers A, B and K, returns the number of integers within the range [A..B] that are divisible by K, i.e.:
{ i : A ≤ i ≤ B, i mod K = 0 }
For example, for A = 6, B = 11 and K = 2, your function should return 3, because there are three numbers divisible by 2 within the range [6..11], namely 6, 8 and 10.
Assume that:
- A and B are integers within the range [0..2,000,000,000];
- K is an integer within the range [1..2,000,000,000];
- A ≤ B.
Complexity:
- expected worst-case time complexity is O(1);
- expected worst-case space complexity is O(1).


- back(View) - Method in class cmput301w16t08.scaling_pancake.activities.BidListActivity
-
- back(View) - Method in class cmput301w16t08.scaling_pancake.activities.DisplaySearchResultsActivity
-
- back(View) - Method in class cmput301w16t08.scaling_pancake.activities.EditInstrumentActivity
-
- back(View) - Method in class cmput301w16t08.scaling_pancake.activities.InstrumentListActivity
-
Return to the MenuActivity
- back(View) - Method in class cmput301w16t08.scaling_pancake.activities.ViewBidActivity
-
- back(View) - Method in class cmput301w16t08.scaling_pancake.activities.ViewInstrumentActivity
-
- back(View) - Method in class cmput301w16t08.scaling_pancake.activities.ViewProfileActivity
-
- Bid - Class in cmput301w16t08.scaling_pancake.models
-
Bid
is meant to represent a bid made by a User
(called the bidder)
on an Instrument
.
- Bid(String, String, String, float) - Constructor for class cmput301w16t08.scaling_pancake.models.Bid
-
Creates a new Bid
from the supplied bidder on the supplied instrument
- Bid(String, String, String, float, String) - Constructor for class cmput301w16t08.scaling_pancake.models.Bid
-
Creates the Bid
with the supplied id
- BiddedInstrumentsAdapter - Class in cmput301w16t08.scaling_pancake.adapters
-
Provides a custom adapter for Instruments
that have been bidded on by the
currently logged in user.
- BiddedInstrumentsAdapter(Controller, BidList) - Constructor for class cmput301w16t08.scaling_pancake.adapters.BiddedInstrumentsAdapter
-
- BidList - Class in cmput301w16t08.scaling_pancake.models
-
BidList
is meant to hold a list of Bid
objects.
- BidList() - Constructor for class cmput301w16t08.scaling_pancake.models.BidList
-
Creates a new list of Bid
s
- BidListActivity - Class in cmput301w16t08.scaling_pancake.activities
-
Displays a list of the current Bid
s on an instrument.
- BidListActivity() - Constructor for class cmput301w16t08.scaling_pancake.activities.BidListActivity
-
- BidsAdapter - Class in cmput301w16t08.scaling_pancake.adapters
-
Created by dan on 24/03/16.
- BidsAdapter(Controller, BidListActivity, BidList) - Constructor for class cmput301w16t08.scaling_pancake.adapters.BidsAdapter
-
- borrowed_instrument_view_code - Static variable in class cmput301w16t08.scaling_pancake.activities.ViewInstrumentActivity
-
- BorrowedInstrumentAdapter - Class in cmput301w16t08.scaling_pancake.adapters
-
Provides a custom adapter for Instruments
that have been borrowed by the
currently logged in user.
- BorrowedInstrumentAdapter(Context, InstrumentList) - Constructor for class cmput301w16t08.scaling_pancake.adapters.BorrowedInstrumentAdapter
-
- brwd_by_others_instrument_view_code - Static variable in class cmput301w16t08.scaling_pancake.activities.ViewInstrumentActivity
-


ML-ENSEMBLE
| author: | Sebastian Flennerhag |
|---|---|
| copyright: | 2017-2018 |
| licence: | MIT |
mlens.estimators¶
BaseEstimator¶
-
class
mlens.estimators.
BaseEstimator
[source]¶ Bases:
mlens.parallel.wrapper.EstimatorMixin
,mlens.parallel.base.ParamMixin
,mlens.externals.sklearn.base.BaseEstimator
Base class for estimators
Ensure proper initialization of Mixins.
LearnerEstimator¶
-
class
mlens.estimators.
LearnerEstimator
(estimator, indexer, verbose=False, scorer=None, backend=None, n_jobs=-1, dtype=None)[source]¶ Bases:
mlens.estimators.estimators.BaseEstimator
Learner estimator
Wraps an estimator in a cross-validation strategy.
Parameters: - estimator (obj) – estimator to construct learner from.
- indexer (str, obj) – a cross-validation strategy. Either a :mod`mlens.index` indexer instance or a string.
- name (str, optional) – name of learner. If
preprocessing
is notNone
, the name of the transformer will be prepended. If not specified, the name of the learner will be the name of the estimator in lower case. - scorer (func, optional) – function to use for scoring predictions during cross-validated fitting.
- verbose (bool, int (default = False)) – whether to report completed fits.
- backend (str (default='threading')) – parallel backend. One of
'treading'
,'multiprocessing'
and'sequential'
. - n_jobs (int (default=-1)) – degree of concurrency. Set to
-1
for maximum and1
for sequential processing.
TransformerEstimator¶
-
class
mlens.estimators.
TransformerEstimator
(preprocessing, indexer, verbose=False, backend=None, n_jobs=-1, dtype=None)[source]¶ Bases:
mlens.estimators.estimators.BaseEstimator
Transformer estimator
Wraps an preprocessing pipeline in a cross-validation strategy.
Parameters: - preprocessing (obj) – preprocessing pipeline to construct transformer from.
- indexer (str, obj) – a cross-validation strategy. Either a :mod`mlens.index` indexer instance or a string.
- name (str) – name of transformer.
- verbose (bool, int (default = False)) – whether to report completed fits.
- backend (str (default='threading')) – parallel backend. One of
'treading'
,'multiprocessing'
and'sequential'
. - n_jobs (int (default=-1)) – degree of concurrency. Set to
-1
for maximum and1
for sequential processing.
LayerEnsemble¶
-
class
mlens.estimators.
LayerEnsemble
(groups, propagate_features=None, shuffle=False, n_jobs=-1, backend=None, verbose=False, random_state=None, dtype=None)[source]¶ Bases:
mlens.estimators.estimators.BaseEstimator
One-layer ensemble
An ensemble of estimators and preprocessing pipelines in one layer. Takes an input X and generates an output P. Assumes all preprocessing pipelines and all estimators are independent.
Parameters: - groups (list,) – list of
Group
instances to build layer with. - proba (bool (default = False)) – whether to call predict_proba on the estimators in the layer when predicting.
- propagate_features (list, range, optional) – Features to propagate from the input array to the output array. Carries input features to the output of the layer, useful for propagating original data through several stacked layers. Propagated features are stored in the left-most columns.
- verbose (int or bool (default = False)) –
level of verbosity.
verbose = 0
silent (same asverbose = False
)verbose = 1
messages at start and finish (same asverbose = True
)verbose = 2
messages for preprocessing and estimatorsverbose = 3
messages for completed job
If
verbose >= 10
prints tosys.stderr
, elsesys.stdout
. - shuffle (bool (default = False)) – Whether to shuffle data before fitting layer.
- random_state (obj, int, optional) – Random seed number to use for shuffling inputs
-
get_params
(deep=True)[source]¶ Get parameters for this estimator. :param deep: If True, will return the parameters for this estimator and
contained subobjects that are estimators.Returns: params – Parameter names mapped to their values. Return type: mapping of string to any
- groups (list,) – list of


Without PixLogix's technical expertise and ability to work to the client's vision this site would not have been realised on time on budget. We look forward to working together on future projects.
We researched web designers for psd to xhtml. We were absolutely right to go with PixLogix. They having great psd to xhtml + jquery skill. We are extremely happy
Having been outsourcing my web presence projects over a decade now would not hesitate to recommend Pixlogix. I am glad to have found them and hoping to utilise their expertise for many years to come.
If you are looking for TOP QUALITY web design work, than look no further. Pixlogix is by far the most talented, creative web designer. We recommend Pixlogix, you can be 100% proud of!
PixLogix has a great Web Designer. They are aware and keeps themself updated in the world of Internet. We have generated a lot of Business queries through our web presence, thanks to PixLogix.
I appreciate your help and your professional work. Pixlogix has provided best design as per my dreams about my website. I am very grateful and quite happy for this.


Project List
Evolution - Issues New (Repo)
Experimental - Pull Request Acceptance Rate (Repo)
Experimental - Top Committers (Repo)


Rejoin cooldown (seconds) - if the player leaves then rejoins, don't send join messages
Trigger cooldown (seconds) - limit trigger messages by the same player
Maximum trigger responses to a message
Minutes between announcements
Show joining IPs in console
Log unparsed messages
Warning
Changing these options can result in unexpected behavior. Read this first
Parse triggers as RegEx
Disable whitespace trimming
Split messages
Developer mode
Backup / Restore


Data Science
Time Series Analysis
Big Data Analytics
Databases
Cloud Services
Machine Learning
Information Retrieval
Deep Learning
Reinforcement Learning
Natural Language Processing


org.davidmoten.kool
Classes
Collector
Emitter
Indexed
Maybe
MaybeTester
Notification
Plugins
RetryWhenBuilder
RetryWhenBuilderMaybe
RetryWhenBuilderSingle
Single
SingleTester
Statistics
Stream
StreamIterable
StreamIterator
Tester


How to Help Request Help
Our mission is to provide short-term financial support from validated resources to individuals and their families in need.
Womenaid of Central MA is a non-profit organization.
We hope to see you again! Check back later for new updates to our website. There's much more to come!


Machine class¶
-
class
Machine
(config)¶ FLAME Machine class for Python API.
Parameter: config: dict, list of tuples, or byte buffer
Input lattice data.-
conf
(index=None)¶ Check configuration of the Machine object.
Parameter: index: int (optional)
Index of the lattice element.Returns: dict
Configuration of the lattice elementNote
In the case of
index
is None,conf()
returns initial configuration of the lattice.
-
allocState
(config=None)¶ Allocate the beam state object.
Parameter: config : dict
Input lattice data. Empty dict is required as dummy data.Returns: State
objectBeam state object (see here)
-
propagate
(state, start=0, max=INT_MAX, observe=None)¶ Run envelope tracking simulation.
Parameters: state:
State
objectAllocated beam state objectstart: int (optional)
Index of the starting lattice element.max: int (optional)
Number of elements to advance. Negative value works as backward propagation. (E.g. start = 5 and max = 10 mean propagate from 5th element to 14th element.)observe: list of int (optional)
List of indexes for observing the beam state.Returns: list
List of the beam states atobserve
points. Each tuple has (index, State).
-
reconfigure
(index, config)¶ Reconfigure the lattice element configuration.
Parameters: index: int
Index of the lattice element.config: dict
New configuration of the lattice element parameter.
-
find
(name=None, type=None)¶ Find the indexes of the lattice elements by name or type.
Parameter: name: str or unicode
Name of the lattice element to find.type: str or unicode
Type of the lattice element to find.Returns: list
List of matched element indexes.
-


BlackJack
0
0
Click on the deck to hit
Click on your hand to stand
Try to make 21
Aces are worth 1
Face cards are worth 10
All others worth face value
Game by
Jarrod Tyzack
Cards by
Cards.js
© Jarrod Tyzack 2017


This intention removes underscores from numeric literals.
This inspection only reports if the language level of the project or module is 7 or higher
Quick fix: removes underscores from numeric literals


Copyright (c) 1994-2006 Sun Microsystems Inc.
All Rights Reserved.
Neither the name of Sun Microsystems or the names of contributors may be used to endorse or promote products derived from this software without specific prior written permission.
>> THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED.


--- date: 2016-06-19 tags: - neural author: jamworld layout: post title: Neural as a feature generator excerpt: neural categories: - study ---
Artificial Neural Network can be viewed as a super strong auto feature generator. Every time you train an neural network to learn a new model, you training an auto feature generator.


Artivational Studios is excited to be working on ArtStart. A website where artists can share their works to millions of artists around the world. Our objective is to allow the chance for people to exploit their artwork because many don't get the chance to show how talented they are.
In the future, Artivational Studios is hoping to release ArtStart by the end of February.After it has been released, we are willing to take any feedback from our users. With the feedback that we receive, we will further expand on our website to make it as the user wants it.
ArtStart is user friendly, so anyone can use it. On this website site, you're allowed to upload your finest works to share all over the internet. You can as well check out our Explore page to see other people's works from many different kinds of categories.
On ArtStart, you will be allowed to:
All these features are here to help improve your use of this website. We want to make sure that your art is uploaded to ArtStart


Thank you for choosing to be part of our community at Higher Education Study Planner ("Company", "we", "us", or "our"). We are committed to protecting your personal information and your right to privacy. If you have any questions or concerns about our policy , or our practices with regards to your personal information, please contact us at<EMAIL_ADDRESS>When you visit our mobile application, and use our services, you trust us with your personal information. We take your privacy very seriously. In this terms and conditions document, we seek to explain to you in the clearest way possible what information we collect, how we use it and what rights you have in relation to it. We hope you take some time to read through it carefully, as it is important. If there are any terms in this terms and conditions document that you do not agree with, please discontinue use of our Apps and our services.
This terms and conditions document applies to all information collected through our mobile application, ("Apps"), and/or any related services, sales, marketing or events (we refer to them collectively in this terms and conditions document as the "Services").
Please read this terms and conditions document carefully as it will help you make informed decisions about sharing your personal information with us.
TABLE OF CONTENTS
1. WHAT INFORMATION DO WE COLLECT?
2.
3. WILL YOUR INFORMATION BE SHARED WITH ANYONE?
4. WHO WILL YOUR INFORMATION BE SHARED WITH?
5.
6.
7. DO WE COLLECT INFORMATION FROM MINORS?
8.
9. DATA BREACH
10. CONTROLS FOR DO-NOT-TRACK FEATURES
11. DO WE MAKE UPDATES TO THIS POLICY?
12. HOW CAN YOU CONTACT US ABOUT THIS POLICY?
1. WHAT INFORMATION DO WE COLLECT?
Personal information you disclose to us
In Short: We collect personal information that you provide to us such as name, contact information, passwords and security data.
We collect personal information that you voluntarily provide to us when registering at the Apps, expressing an interest in obtaining information about us or our products and services, when participating in activities on the Apps (such as posting messages in our online forums or entering competitions, contests or giveaways) or otherwise contacting us.
The personal information that we collect depends on the context of your interactions with us and the Apps, the choices you make and the products and features you use. The personal information we collect can include the following:
Publicly Available Personal Information. We collect first name, maiden name, last name, and nickname; email addresses; and other similar data.
Credentials. We collect passwords, password hints, and similar security information used for authentication and account access.
All personal information that you provide to us must be true, complete and accurate, and you must notify us of any changes to such personal information.
Information collected through our Apps
In Short: We may collect information regarding your mobile device, push notifications, when you use our apps.
If you use our Apps, we may also collect the following information:
Mobile Device Access. We may request access or permission to certain features from your mobile device, including your mobile device's storage, reminders, calendar, and other features. If you wish to change our access or permissions, you may do so in your device's settings.
Push Notifications. We may request to send you push notifications regarding your account or the mobile application. If you wish to opt-out from receiving these types of communications, you may turn them off in your device's settings.
2.
In Short: We process your information for purposes based on legitimate business interests, the fulfillment of our contract with you, compliance with our legal obligations, and/or your consent.
We use personal information collected via our Apps for a variety of business purposes described below. We process your personal information for these purposes in reliance on our legitimate business interests, in order to enter into or perform a contract with you, with your consent, and/or for compliance with our legal obligations. We indicate the specific processing grounds we rely on next to each purpose listed below.
We use the information we collect or receive:
To facilitate account creation and logon process.
To send administrative information to you. We may use your personal information to send you product, service and new feature information and/or information about changes to our terms, conditions, and policies.
Request Feedback. We may use your information to request feedback and to contact you about your use of our Apps.
To enable user-to-user communications. We may use your information in order to enable user-to-user communications with each user's consent.
To enforce our terms, conditions and policies for Business Purposes, Legal Reasons and Contractual.
To respond to legal requests and prevent harm. If we receive a subpoena or other legal request, we may need to inspect the data we hold to determine how to respond.
To manage user accounts. We may use your information for the purposes of managing our account and keeping it in working order.
3. WILL YOUR INFORMATION BE SHARED WITH ANYONE?
In Short: We only share information with your consent, to comply with laws, to provide you with services, to protect your rights, or to fulfill business obligations.
We may process or share data based on the following legal basis:
Consent: We may process your data if you have given us specific consent to use your personal information in a specific purpose.
Legitimate Interests: We may process your data when it is reasonably necessary to achieve our legitimate business interests.
Performance of a Contract: Where we have entered into a contract with you, we may process your personal information to fulfill the terms of our contract.
Legal Obligations: We may disclose your information where we are legally required to do so in order to comply with applicable law, governmental requests, a judicial proceeding, court order, or legal process, such as in response to a court order or a subpoena (including in response to public authorities to meet national security or law enforcement requirements).
Vital Interests: We may disclose your information where we believe it is necessary to investigate, prevent, or take action regarding potential violations of our policies, suspected fraud, situations involving potential threats to the safety of any person and illegal activities, or as evidence in litigation in which we are involved.
More specifically, we may need to process your data or share your personal information in the following situations:
Other Users. When you share personal information (for example, by posting comments, contributions or other content to the Apps) or otherwise interact with public areas of the Apps, such personal information may be viewed by all users and may be publicly distributed outside the Apps in perpetuity. Similarly, other users will be able to view descriptions of your activity, communicate with you within our Apps, and view your profile.
4. WHO WILL YOUR INFORMATION BE SHARED WITH?
In Short: We only share information with the following third parties.
We only share and disclose your information with the following third parties. We have categorized each party so that you may be easily understand the purpose of our data collection and processing practices. If we have processed your data based on your consent and you wish to revoke your consent, please contact us.
Web and Mobile Analytics
Google Analytics
5.
In Short: We keep your information for as long as necessary to fulfill the purposes outlined in this terms and conditions document unless otherwise required by law.
We will only keep your personal information for as long as it is necessary for the purposes set out in this terms and conditions document, unless a longer retention period is required or permitted by law (such as tax, accounting or other legal requirements). No purpose in this policy will require us keeping your personal information for longer than 90 days past the start of idle period on the user's account.
When we have no ongoing legitimate business need to process your personal information, we will either delete or anonymize it, or, if this is not possible (for example, because your personal information has been stored in backup archives), then we will securely store your personal information and isolate it from any further processing until deletion is possible.
6.
In Short: We aim to protect your personal information through a system of organizational and technical security measures.
We have implemented appropriate technical and organizational security measures designed to protect the security of any personal information we process. However, please also remember that we cannot guarantee that the internet itself is 100% secure. Although we will do our best to protect your personal information, transmission of personal information to and from our Apps is at your own risk. You should only access the services within a secure environment.
7. DO WE COLLECT INFORMATION FROM MINORS?
In Short: We do not knowingly collect data from or market to children under 18 years of age.
We do not knowingly solicit data from or market to children under 18 years of age. If we learn that personal information from users less than 18 years of age has been collected, we will deactivate the account and take reasonable measures to promptly delete such data from our records. If you become aware of any data we have collected from children under age 18, please contact us at<EMAIL_ADDRESS>8.
In Short: In some regions, such as the European Economic Area, you have rights that allow you greater access to and control over your personal information. You may review, change, or terminate your account at any time.
In some regions (like the European Economic Area), you have certain rights under applicable data protection laws. These may include the right (i) to request access and obtain a copy of your personal information, (ii) to request rectification or erasure; (iii) to restrict the processing of your personal information; and (iv) if applicable, to data portability. In certain circumstances, you may also have the right to object to the processing of your personal information. To make such a request, please use the contact details provided below. We will consider and act upon any request in accordance with applicable data protection laws.
If we are relying on your consent to process your personal information, you have the right to withdraw your consent at any time. Please note however that this will not affect the lawfulness of the processing before its withdrawal.
If you are resident in the European Economic Area and you believe we are unlawfully processing your personal information, you also have the right to complain to your local data protection supervisory authority. You can find their contact details here: http://ec.europa.eu/justice/data-protection/bodies/authorities/index_en.htm.
If you have questions or comments about your privacy rights, you may email us at<EMAIL_ADDRESS>Account Information
If you would at any time like to review or change the information in your account you can:
- Log into your account settings and update your user account.
Upon a request to terminate an administrator or lecturer account, we will deactivate or delete your account and information from our active databases. Students should contact their local system administrator to deactivate or delete there account. However, some information may be retained in our files to prevent fraud, troubleshoot problems, assist with any investigations, enforce our Terms of Use and/or comply with legal requirements.
9. DATA BREACH
A privacy breach occurs when there is unauthorized access to or collection, use, disclosure or disposal of personal information. You will be notified about data breaches when Higher Education Study Planner believes you are likely to be at risk or serious harm. For example, a data breach may be likely to result in serious financial harm or harm to your mental or physical well-being. In the event that Higher Education Study Planner becomes aware of a security breach which has resulted or may result in unauthorized access, use or disclosure of personal information Higher Education Study Planner will promptly investigate the matter and notify the applicable Supervisory Authority not later than 72 hours after having become aware of it, unless the personal data breach is unlikely to result in a risk to the rights and freedoms of natural persons.
10. CONTROLS FOR DO-NOT-TRACK FEATURES
Most web browsers and some mobile operating systems and mobile applications include a Do-Not-Track ("DNT") feature or setting you can activate to signal your privacy preference not to have data about your online browsing activities monitored and collected. No uniform technology standard for recognizing and implementing DNT signals has been finalized. As such, we do not currently respond to DNT browser signals or any other mechanism that automatically communicates your choice not to be tracked online. If a standard for online tracking is adopted that we must follow in the future, we will inform you about that practice in a revised version of this terms and conditions document.
11. DO WE MAKE UPDATES TO THIS POLICY?
In Short: Yes, we will update this policy as necessary to stay compliant with relevant laws.
We may update this terms and conditions document from time to time. The updated version will be indicated by an updated "Revised" date and the updated version will be effective as soon as it is accessible. If we make material changes to this terms and conditions document, we may notify you either by prominently posting a notice of such changes or by directly sending you a notification. We encourage you to review this terms and conditions document frequently to be informed of how we are protecting your information.
12. HOW CAN YOU CONTACT US ABOUT THIS POLICY?
If you have questions or comments about this policy, you may email us at<EMAIL_ADDRESS>HOW CAN YOU REVIEW, UPDATE, OR DELETE THE DATA WE COLLECT FROM YOU?
Based on the laws of some countries, you may have the right to request access to the personal information we collect from you, change that information, or delete it in some circumstances. To request to review, update, or delete your personal information, please submit a request to<EMAIL_ADDRESS>We will respond to your request within 30 days.


search
I made this Side-project list after finding lots of resources on the web and finding that i can pull content from a google sheet. you can comment or suggest in the public google sheet here. Tools Ive used to make it : isotope, now-ui-kit, this script for getting data from google sheet, pace.js, material icons
Version 3.0 created & curated by Boaz


+++ draft = false date = "2006-08-08T18:48:59-03:00" title = "Accessing a zope object stripped of acquisition" tags = ["zope2", "cookbook", "Plone"] created = "2006-08-08T18:44:58-03:00" modified = "2006-08-08T18:51:54-03:00" permaLink = "http://play.pixelblaster.ro/blog/archive/2006/08/08/accessing-a-zope-object-stripped-of-acquisition" author = "Tiberiu Ichim" aliases = [ "/blog/archive/2006/08/08/accessing-a-zope-object-stripped-of-acquisition" ] +++
To get an object completely stripped of its acquisition layers, the following snippet can be employed
import Acquisition
obj_no_aq = Acquisition.aq_base(obj)
No acquisition means no methods or properties inherited from the container or the container chain.
Although a bit old, the Zope Developer Guide, with its chapter on Acquisition do a fine job at explaining the intricacies of acquisition in Zope 2.


Hispanic-Market Broadcast: "Positivity"
With already-high penetration, we worked to bring an emotional connection to milk that would capture and continue to engage Hispanic consumers. This recap of the Positivity campaign launch provides a look into how consumers were introduced to El Maestro, milk’s very own advocate for a more positive outlook on life, and his messages that were spread across California through TV, radio, digital, OOH and online.


Preparation time
less than 30 mins
Cooking time
30 mins to 1 hour
Serves
Serves 6-8
Dietary
This is a healthy twist on an apple crumble recipe. It's made with blackberries; plus muesli, oats and nuts for extra crunch.
Preheat the oven to 200C/400F/Gas 6.
Peel, core and chop the apples into small chunks. Cut the lemons in half and squeeze the juice over the apple and mix well. This not only adds flavour but prevents the freshly peeled apples from discolouring.
Layer the apples, blackberries, and sugar in a large pie dish (a lasagne dish is ideal).
Place the flour in a large bowl and then rub in the butter until it resembles breadcrumbs - leave a few lumps of butter so that the topping is not too fine. Add the muesli or oat/seed/nut mixture and the sugar and mix through.
Use a spoon to sprinkle the crumble topping evenly over the fruit. Bake for 45 minutes or until the fruit is cooked and bubbling juices seep through the topping.
Cool for a few minutes and then serve with custard or fresh cream.


Vettucaud church fete begins
Flag hoisted for nine-day celebrations at Madre de Deus Church
by Special CorrespondentWitnessed by religious leaders and hundreds of the faithful, the flag rose on Friday for the feast of Christ the King at the Madre de Deus Church, Vettucaud.
The ceremony marked the start of the nine-day festival at the church, which draws thousands of pilgrims. Over the nine days, various Catholic rites will lead the Holy Mass in turns in Latin, English, Hindi, Malayalam and Tamil.
Flag hoisted
Local parish vicar Fr. Joseph Bastin hoisted the festival flag after a Holy Mass led by R. Christudas, the auxillary bishop of the Latin Archdiocese of Thiruvananthapuram.
Later, a procession bearing the ‘Christ the King’ flag was taken out.
Archbishop M. Soosa Pakiam, head of the Latin Archdiocese of Thiruvananthapuram; Santhigiri Ashram organising secretary Swami Gururetnam Jnanatapaswi and the Chief Imam of the Manacaud Valiyapalli E. C. Aboobakker Al Qasimi spoke. A procession and special evening prayers will be held on November 23. This year’s festival will come to a close on November 24 with a Holy Mass led by Archbishop M. Soosa Pakiam.


Download for free and get access to your kundli chart and predictions with full details of your kundli.
Download Our App


Trivia Game
Press Start to begin. You'll have 4 minutes to answer as many questions as you can.
Start
0
1
:
0
0
time left
a
b
c


Welcome to my Website
This is a website I have built in order to demonstrate my professional skills. Please use the site to find more information about me and don't hesitate to contact me for potential openings.
- Gabe P. Harms, BS Computer Engineering from Penn State 2015
Education
Projects
Work Experience