|
The site has moved to http://mussard.github.io/ |
|
|
Bastien Mussard ... Research |
Multi-reference Perturbation TheoryI have implemented a fully internally contracted version of multi-reference perturbation theories (NEVPT2/MRLCC) in a program interfaced with PySCF. The implementation of both the density fitting approximation for the integrals and the cumulant approximation for the high-order reduced density matrix involved in the equations allows the treatment of larger systems of interest. (//ongoing work//) |
Evaluation of determinant in QMCI started working on the efficient evaluation of a great number of determinants using the determinant lemma of the Sherman-Morrison-Woodbury formula, both for the Quantum Monte-Carlo steps and for the optimization of the wave-function. This is a collaboration, at the LCT, with Cyrus Umrigar from the Cornell University and the implementation is done in the CHAMP software. (//ongoing work//) |
Fractional occupation numbersTo better understand the RPA properties, a study of calculations with fractional occupation numbers has been initiated. This type of analysis allows one to estimate how a method handles the N-electrons self-interaction error, or, more accurately, the delocalization error. Some early implementation in the MOLPRO quantum chemistry package yields interesting results useful to compare the behavior of different RPA approximations. Fractional-charge and fractional-spin errors in range-separated density-functional theory. B. Mussard, J. Toulouse, Mol. Phys. 115 161 (2017) (doi) (pdf) (hal) (arXiv) |
High-harmonic generation spectraWe explored the computation of high-harmonic generation spectra in atoms by means of Gaussian basis sets in time-dependent close coupling approaches. We investigated the efficiency of Gaussian functions specifically designed for the description of the continuum proposed by Kaufmann et al. ; we notably studied the effect of increasing the basis set cardinal number, the number of diffuse basis functions, and the number of Gaussian pseudo-continuum basis functions for various laser parameters. Our results show that the latter significantly improve the description of the low-lying continuum states, and provide a satisfactory agreement with grid calculations. Gaussian continuum basis functions for calculating high-harmonic generation spectra. E. Coccia, B. Mussard, M. Labeye, J. Caillat, R. Taieb, J. Toulouse, E. Luppi, Int. J. Quantum Chem. 116 1120 (2016) (doi) (pdf) (hal) (arXiv) |
RPA formalismsI worked on the different formalisms in which the RPA equations can be derived. I in particular explored in a systematic and new way the formalism called ''dielectric matrix formalism''. The examination and comparison of the different RPA formalisms reveals the underlying unity between them and allows to obtain crucial information about the nature of the approximations that are made during the a priori very different derivations. I implemented this dielectric matrix formalism and the various approximations that can be made in this context in the MOLPRO quantum chemistry package, including a new Clenshaw-Curtis quadrature for the integration over the frequency dimension. Dielectric matrix formulation of correlation energies in the Random Phase Approximation (RPA): inclusion of exchange effects. B. Mussard, D. Rocca, G. Jansen, J.G. Ángyán, J. Chem. Theory Comput. 12 2191 (2016) (doi) (pdf) (hal) (arXiv) (suppl) |
POO: Local orbitalsThe use of local orbitals is one of the path that can be taken to reduce the computational cost of RPA calculations. I studied the virtual localized orbitals that are the ''projected oscillatory orbitals'' (POO), an original idea of Boys that has not been developped in the litterature. The basic equations concerning the POO have been derived during my thesis, including multipolar expansions of the bi-electronic integrals in the basis of the POO ; it has also been shown that the matrix elements of the dipolar moment between an occupied localized orbital and a POO virtual localized orbital reduces to the expression of the overlap between two POOs. This non-trivial result vastly simplifies the RPA equations that can be written in the POO basis. Local Random Phase Approximation with Projected Oscillator Orbitals. B. Mussard, J.G. Ángyán, Theor. Chem. Acc. 134 1 (2015) and B. Mussard, J.G. Ángyán, Chapter in Péter R. Surján: A Festschrift from Theoretical Chemistry Account 99 (2016) (doi1 /doi2) (pdf) (hal) (arXiv) |
Spin-unrestricted generalisationTo widen the field of applications of our RPA methods, the derivations of most of the formalisms have been generalized to open shell systems and this has been implemented in the MOLPRO quantum chemistry package. Extended tests on datasets of atomisation energies (AE49) and of barrier heights energies (BH24) showed the excellent performance of a version of RPA with exchange called ''SO2'' when it is used in a range separation context. This variant was previously already known to have good performances on the S22 dataset, but this kind of generalizations and extensions of application field allows to better grasp the roots of the relative qualities of the different versions of RPA. Spin-unrestricted random-phase approximation with range separation: Benchmark on atomisation energies and energy barrier heights. B. Mussard, P. Reinhardt, J.G. Ángyán, J. Toulouse, J. Chem. Phys. 142 154123 (2015) (doi) (pdf) (hal) (arXiv) (suppl) (err) |
Basis convergenceAmong the advantages of the use of range separation methods, one finds that in this context the wavefunction part on a calculation is no more burdened by the treatment of the electron-electron coalescence and it is then expected that the convergence of the calculations with respect to the size of the gaussian basis set be better. A new study of the convergence of range-separated calculations allowed us to show, on the one hand, the exponential convergence of the quality of the expansion called ''partial-wave'' of the long-range wavefunction at the electron-electron coalescence with respect to the angular momentum of the expansion and, on the other hand, the also exponential convergence of the error made on the total RSH+MP2 energy with respect to the cardinal number of the Dunning basis. Based on these observations, we proposed an extrapolation method for the total energy of range-separated calculations. Basis convergence of range-separated density-functional theory. O. Franck, B. Mussard, E. Luppi, J. Toulouse, J. Chem. Phys. 142 074107 (2015) (doi) (pdf) (hal) (arXiv) |
Direct spaceAnother axis of research is to work on functions such as the response functions, that are found when doing RPA calculations, by considering explicitly their dependance to the real space variables. In my thesis I created tools to calculate these functions on parallelepipedic real space grids, and on so-called ''DFT-type'' grids. A long-term goal could be the generation of grids such as to better sample the space between the atoms. Relationships between charge density response functions, exchange holes and localized orbitals. B. Mussard, J.G. Ángyán, Comp. Theor. Chem. 1053 44 (2015) (doi) (pdf) (hal) (arXiv) I also adapted the Effective Energy Denominator (EED) technique, which is a generalisation of the Unsöld approximation where the effective denominator depends on the coordinates and the frequency and is originally developped in the reciprocal space. The goal of these developments is to be able to calculate the Kohn-Sham response function without summations on the virtual orbitals. (//ongoing work//) |
Gradients of the RPA correlation energyI derived the equations allowing to compute the analytical gradients of the RPA correlation energies in the context of range separation. The formalism that was developped, which uses the lagrangian technique, allows an all-in-one derivation of the short- and long-range terms that emerge in the expressions of the gradient. These terms show interesting parallels. The equations were implemented in the MOLPRO quantum chemistry package, and this now allows to perform geometry optimisation at the RSH+RPA levels, and to obtain dipoles calculated at the RSH+RPA levels. Analytical Energy Gradients in Range-Separated Hybrid Density Functional Theory with Random Phase Approximation. B. Mussard, P. Szalay, J.G. Ángyán, J. Chem. Theory Comput. 10 1968 (2014) (doi) (pdf) (hal) (arXiv) |
Selected excitations in localized orbitalsWorking with localized orbitals, we were able to show that long-range correlation contributions to range-separated density-functional theory can be computed with reduced computational effort. Indeed, the ''dispersion-only'' approximation to the dimer captures most of the interaction energy of the dimer (this avoids calculation of the counterpoise-corrected monomer). Short-range DFT combined with long-range local RPA within a range-separated hybrid DFT framework. E. Chermak, B. Mussard, J.G. Ángyán, P. Reinhardt, Chem. Phys. Lett. 550 132 (2012) (doi) (pdf) (hal) (arXiv) |


This is a paragraph on multiple lines
hello
This is a second paragraph
Another root level element
with content
click me


USCIS DEVSECOPs Demo – Image Approval
Customer
None
{{customer.name}}
Image List
Image List
Image List
Image List


The 'process over product' concept definitely made the whole redesign/rebuild less overwhelming. It made it easier for me to step back and look at it bit by bit, instead of trying to do too many things at once and getting frustrated. It felt less chaotic.
I had read a few articles here and there about meditation before reading Search Inside yourself, so I already had a vague understanding of it and that it was something we should probably all be doing. I tried it a few times, but it was never a priority and I was discouraged by how easily distracted I was - something I now know is a completely normal part of the process.
I've learned to think of meditation in the same way as physical exercise - the more you do it, the fitter you become. I don't know if this will actually help me to practice more regularly, since I'm pretty rubbish at making an effort to do regular physical exercise as well, but it still strikes me as a good way to think about it. I suppose it's because we all know that exercise is good for our bodies, but because meditation is a somewhat abstract concept it can be a little harder to grasp how it's beneficial.
The real, measurable effects of meditation on psoriasis was really awesome for me to read! As someone who has eczema, this was potentially fantastic news. I know stress is one trigger for my breakouts, so it will be interesting to see whether regular meditation helps to limit those episodes.
It was also super encouraging to learn that it's completly normal and ok for my attention to wander when I'm practicing my meditation!
Using imagery in conjuction with my breathing rhythm stood out to me. A picture that I like to hold in my mind while I'm meditating is a beach at home in the Abel Tasman National Park - drawing my breath in with the water pulling back from the shore, and exhaling with the waves as they wash in. I also quite liked the idea of "sitting like a mountain", which brought to mind my maunga, awa, waka, and the rhythm of paddle strokes through the water.
Final takeaway from this chapter - I like Meng's sense of humour.


{% extends "layout.html" %} {% block page_content %}
View on Meetup
View on Facebook
ICAL
No upcoming events found


{% include "header.html" %}
The following items have been sent to you, via [some shipping method]:
{% include "order_info.html" %}This completes your order. Please leave a comment on the site, and come back for more pottery soon!
{% include "footer.html" %}


Feel free to discover our site
Hope you love photography as much as we do ♥
Please, visit our contact page


Hi there, my name is Torbjørn. I’m a 25 year old Norwegian who has been studying front-end development since the summer of 2020.
Before this began I worked at the operations department of Bergen’s port authority, and more recently I worked as a store employee at an electronics store, which is where I discovered how much I enjoy working with anything related to IT, despite never considering myself a very technical person.
A friend I hadn’t met in years had recently completed his studies in front-end development and, as I’d never heard much about it before, I was intrigued. He explained that it’s a growing field with plenty of job opportunities, and went into detail about what his job involved.
I immediately thought this could be something for me. So I looked into it further, and shortly afterwards I’d applied to study front-end development at Noroff Vocational School in Bergen.
I didn’t know much about web-development beforehand, but I was more motivated than I’d ever been in my life. I wanted to make this work. So I put in the hours and made no compromises with myself. I didn't have to force myself for long though, as I soon found out I really enjoy doing this. So much that I even started exploring and experimenting with subjects outside of our curriculum in my spare time.
Thanks to this mindset, I was able to learn more in this one year than any year before, and while my journey in web-development may have only just begun, I’m just as passionate as ever and I’m aiming to learn even more in the years to come.


I would like to thank Altus Knowledge for the learning techniques & guidance in my journey to be an IITian.
I would recommend them to any student looking for highly skilled teachers, strong support, and powerful
results.
What I appreciate most about Altus Knowledge is that they made it so easy to crack IIT against common
belief. It is actually not as tough as Ithought. With the right guidance, motivation along with the right
attitude and practice, it is achievable for any aspiring student.
A very interesting and valuable experience.I learned a lot and it gave me a good grounding in the
basics.They made my dream come true.I found the course interesting, challenging, and rewarding.
It was a great time I spent in Altus Knowledge. Altus has very wonderful faculty and they are very
cooperative and Institute environment is very positive. Altus has made the best efforts to provide all the
facilities for the students like Faculties, Support, etc. I personally learned a lot at Altus.
I have taken classroom coaching from Altus Knowledge. I have no hesitation in recommending them for their
expertise, accuracy, and efficiency. They made my dream come true.
Altus Knowledge has really been a launch pad for my ambitions. It took care of all examinations that are
important and provided adequate guidelines. Spending two years in Altus Knowledge has been one of the best
learning experiences for me. The faculty was kind enough to clear all the doubts and make the concepts
crystal clear. I love the fact that I was associated with Altus Knowledge for two years and would recommend
it to my friends and relatives for their preparations for engineering.
Altus Knowledge
Students Who Got More Than 250 In IIT Exam
Altus Knowledge
Students Who Got More Than 600 In NEET Exam


Amazon selling heated mittens for £8.99 to keep your hands warm this winter
They will keep you toasty for over 20 minutes
by Rebecca CarterAmazon is selling heated mittens to keep your hands warm this winter.
As the weather is getting colder by the minute, you can now treat yourself to a pair of mittens which keep your fingers toasty for over 20 minutes.
The gloves, by Petyoung, come with a USB 5V powered port, so you can warm them up by plugging them into your phone or laptop.
Read more: New study claims almost half of people DON'T change their underwear daily
They have heated pads on both sides so every inch of your hand will be warm.
According to the product description, the heating temperature is around 40C so they will keep your hands warm but not too hot.
The description reads: "With single-side heating pad on hand back, this gloves keep your hands back always warm, brings no effect for your hands movement when you work or study front of computer. Say goodbye to cold winter!
"This gloves with a folded finger cover can be used as both half-finger gloves and full-finger gloves.
"Half finger design for typing or gaming, full finger design to keep finger tips wrapped in warm when not typing.
"Used under scores of occasions in winter or cold autumn, suitable for gaming, typing, operating the mouse, and more other situations such as work, play, skiing, riding, hiking, outdoor exploring, etc."
It adds: "Knitted from quality acrylic fibers and spandex, ultra-soft, and elastic, fits snugly yet offers excellent flexibility to ensure your hands and fingers free to move.
"Delicately knitted and hemmed makes it sturdy and durable for years' use. The USB winter heating gloves could wash, just remove the heating piece, and advice hand wash."
Read more: Amazon is selling fluffy white Christmas tree skirts that look like snow!
We recently revealed that Amazon sells heated underwear to also keep you warm over the next few bitter months.
The Smart Heated Panties aren't exactly the most attractive knickers in the world, but they will definitely keep you toasty over the next few months.
The undies are £41, high-waisted and have a 12-hour life span on the "winter warmer" setting.
According to the Amazon website, the pants "regulate menstruation, nourish the uterus, play an anti-inflammatory repair, scientifically regulate the uterus environment" as well as "effectively protect the health and fertility".
Will you be buying heated mittens? Leave us a comment on our Facebook page @EntertainmentDailyFix and let us know.


A block quotation is a quotation in a written document, that is set off from the main text as a paragraph, or block of text, and typically distinguished visually using indentation and a different typeface or smaller size quotation.
Heading Level 1
Heading Level 2
Heading Level 3
Heading Level 4
Heading Level 5
Heading Level 6
Strong is used to indicate strong importance
This text has added emphasis
The b element is stylistically different text from normal text, without any special importance
The i element is text that is set off from the normal text
The u element is text with an unarticulated, though explicitly rendered, non-textual annotation
This text is deleted and This text is inserted
This text has a strikethrough
Superscript®
Subscript for things like H2O
This small text is small for for fine print, etc.
Abbreviation: HTML
Keybord input: Cmd
This text is a short inline quotation
This is a citation
The dfn element indicates a definition.
The mark element indicates a highlight
This is what inline code looks like.
This is sample output from a computer program
The variable element, such as x = y
Fusce interdum purus est, vel semper ex tristique ut. Proin dapibus luctus pellentesque. Duis et sapien sit amet enim porttitor gravida at non orci. Proin dictum lobortis luctus. Sed sagittis massa id blandit aliquet.
A paragraph (from the Greek paragraphos, "to write beside" or "written beside") is a self-contained unit of a discourse in writing dealing with a particular point or idea. A paragraph consists of one or more sentences. Though not required by the syntax of any language, paragraphs are usually an expected part of formal writing, used to organize longer prose.
Type Styles
Primary
.u-font--primary--xxl
.u-font--primary--xl
.u-font--primary--l
.u-font--primary--m
.u-font--primary--s
.u-font--primary--xs
Secondary
.u-font--secondary--xl
.u-font--secondary--l
.u-font--secondary--m
.u-font--secondary--s
.u-font--secondary--xs


SuperCollider is an environment and programming language for real time audio synthesis and algorithmic composition. It provides an interpreted object-oriented language which functions as a network client to a state of the art, realtime sound synthesis server.
These might be useful starting points on getting help with SuperCollider:
SuperCollider is free software published under the GPL: Licensing.
SuperCollider help docs are published under the Creative Commons CC-BY-SA-3 license: HelpDocsLicensing.


Tea consumption: A survey
To find out if people drink tea.
Full Name
Email address
Age
Gender
male
female
prefer not to say
How ofter do you drink tea?
Everyday
Not Everyday
What kind of tea do you drink?
Lipton
Green tea
All of the above
Any other comments?
Submit


Amita
Contact
Portfolio
About
Portfolio
Library Management Application
Library Management repository link
Library Management deployed link
Adventure Companion
Adventure Companion repository link
Adventure Companion deployed link
Code Quiz
Code Quiz repository link
Code Quiz deployed link
Password Generator
Password Generator repository link
Password Generator deployed link
Day Planner
Day Planner repository link
Day Planner deployed link
Burger
Burger repository link
Burger deployed link
Weather Dashboard
Weather deshborad repository link
Weather deshborad deployed link


Created from the Bootstrap Tutorial at W3 Schools
Resize this responsive page to see the effect!
This part is inside a .container class.
The .container class provides a responsive fixed width container.
This is the content block for column 1
Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris...
This is the content block for column 2
Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris...
This is the content block for column 3
Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris...


%ReportDate% ► Warning Details
Helpdesk | Hotline: +420 511 133 830 | Twitter: @storagecz • Intro | About Us | Portfolio | References | Partners | Specialized Section | Contacts Created: %ReportTime% © 2006 - 2016 3S.cz, s.r.o. All Rights Reserved | Using materials of these webpages including their parts is not allowed without


Dublin GAA club object to plan to build 650 apartments in area
by By Digital Desk staffA Dublin GAA club has lodged an objection to plans for hundreds of apartments in Clontarf.
The development of the site beside St Anne's Park led to protests by locals last year.
Clontarf GAA have lodged an objection to plans for 657 apartments on land beside St Paul's College, according to the Herald.
A previous plan for the site was rejected by An Bord Pleanála last year.
Locals were concerned about the impact in the area and the loss of the amenity for the community.
The North Dublin club, which has more than 2,000 members, says it has been left badly affected since the playing pitches were sold to developers in 2015 and are desperately short of playing facilities.
A decision on the plan is due on February 13.


Skip Navigation
Coursera
Beta
Jason Bau
Preferences
All Courses
Admin
Support
I18N Editor
About
Contact Us
Logout
Dan Jurafsky,
Professor of Linguistics
Chris Manning,
Associate Professor of Computer Science
Administration
General
Course Settings
Deployment & Staging
Grading Policy
Navigation Bar Settings
Announcement Management
Content Management
Quiz Management
Assignment Management
Lecture Management
Section Management
Upcoming Items Display
Platform Services
Asset Administration
Forum Administration
Email Users
Advanced Tools
Queue Administration
Chronos
Log Viewer
User Administration
Import Tools
Assignment Submissions
Export Tools
Quiz Summary
Detailed Quiz Responses
Assignment Submissions
Class Gradebook
Status Monitoring
Activity Tracking
Export Statistics
Video Status
<quiz> <metadata> <title>Text Classification and Sentiment Analysis</title> <open_time>2012-03-24 0001</open_time> <soft_close_time>2012-04-10 2359</soft_close_time> <hard_close_time>2012-05-22 2359</hard_close_time> <duration>0</duration> <retry_delay>10</retry_delay> <maximum_submissions>5</maximum_submissions> <modified_time>1335394001389</modified_time> <parameters> <show_explanations> <question>after_hard_close_time</question> <option>before_soft_close_time</option> <score>before_soft_close_time</score> </show_explanations> </parameters> <maximum_score>4</maximum_score> </metadata> <preamble><![CDATA[]]></preamble> <data> <question_groups> <question_group select="1"> <preamble><![CDATA[]]></preamble> <question id="ee7461fca29652c5160f875e7dfdcfe2" type="GS_Choice_Answer_Question"> <metadata> <parameters> <rescale_score>1</rescale_score> <choice_type>radio</choice_type> </parameters> </metadata> <data> <text><![CDATA[
Assume the following probabilities for each word being part of a positive or negative movie review.

 	pos	neg

I	0.09	0.16

always	0.07	0.06

like	0.29	0.06

foreign	0.04	0.15

films	0.08	0.11

Now consider the sentence...
I always like foreign films.

Using Naïve Bayes and assuming equal prior probability for each class, will we classify this sentence as being part of a positive or negative review?]]></text> <explanation><![CDATA[With Naïve Bayes as a language model, we're looking for the class that maximizes the probability of the sentence. (See lecture slide #41 in the slide set on Text Classification and Naïve Bayes.) Because we're looking for the argmax, we can ignore the denominator (the likelihood of the sentence, in general), and the question states that the classes have equal prior probability, so we simply find the product of the likelihoods of each word, i.e., multiply each column and take the larger.]]></explanation> <option_groups randomize="true"> <option_group select="all"> <option id="ba126b60767fc0afa50c65746dbfb1c9" selected_score="0" unselected_score="0"> <text><![CDATA[pos]]></text> <explanation><![CDATA[]]></explanation> </option> <option id="d29d3fae07eeb19822dfb5e63bac1064" selected_score="1" unselected_score="0"> <text><![CDATA[neg]]></text> <explanation><![CDATA[]]></explanation> </option> </option_group> </option_groups> </data> </question> <question id="09485f335f62d944f2c09036ba973d67" type="GS_Choice_Answer_Question"> <metadata> <parameters> <rescale_score>1</rescale_score> <choice_type>radio</choice_type> </parameters> </metadata> <data> <text><![CDATA[
Assume the following probabilities for each word being part of a positive or negative movie review.

 	pos	neg

I	0.09	0.18

always	0.09	0.05

like	0.19	0.04

foreign	0.04	0.11

films	0.09	0.12

Now consider the sentence...
I always like foreign films.

Using Naïve Bayes and assuming equal prior probability for each class, will we classify this sentence as being part of a positive or negative review?]]></text> <explanation><![CDATA[With Naïve Bayes as a language model, we're looking for the class that maximizes the probability of the sentence. (See lecture slide #41 in the slide set on Text Classification and Naïve Bayes.) Because we're looking for the argmax, we can ignore the denominator (the likelihood of the sentence, in general), and the question states that the classes have equal prior probability, so we simply find the product of the likelihoods of each word, i.e., multiply each column and take the larger.]]></explanation> <option_groups randomize="true"> <option_group select="all"> <option id="000fa845ea842053b13038aab2d0b528" selected_score="1" unselected_score="0"> <text><![CDATA[pos]]></text> <explanation><![CDATA[]]></explanation> </option> <option id="a8e4ad605a27d5b78d0fb3466304fe46" selected_score="0" unselected_score="0"> <text><![CDATA[neg]]></text> <explanation><![CDATA[]]></explanation> </option> </option_group> </option_groups> </data> </question> <question id="333702857bda0e8864193110b5dac67c" type="GS_Choice_Answer_Question"> <metadata> <parameters> <rescale_score>1</rescale_score> <choice_type>radio</choice_type> </parameters> </metadata> <data> <text><![CDATA[
Assume the following probabilities for each word being part of a positive or negative movie review.

 	pos	neg

I	0.13	0.29

always	0.08	0.06

like	0.19	0.03

foreign	0.07	0.21

films	0.11	0.14

Now consider the sentence...
I always like foreign films.

Using Naïve Bayes and assuming equal prior probability for each class, will we classify this sentence as being part of a positive or negative review?]]></text> <explanation><![CDATA[With Naïve Bayes as a language model, we're looking for the class that maximizes the probability of the sentence. (See lecture slide #41 in the slide set on Text Classification and Naïve Bayes.) Because we're looking for the argmax, we can ignore the denominator (the likelihood of the sentence, in general), and the question states that the classes have equal prior probability, so we simply find the product of the likelihoods of each word, i.e., multiply each column and take the larger.]]></explanation> <option_groups randomize="true"> <option_group select="all"> <option id="b2e0581966a40904dce7e174cc982de9" selected_score="0" unselected_score="0"> <text><![CDATA[pos]]></text> <explanation><![CDATA[]]></explanation> </option> <option id="82bb1ea4a42f1d0c1cec28d588416723" selected_score="1" unselected_score="0"> <text><![CDATA[neg]]></text> <explanation><![CDATA[]]></explanation> </option> </option_group> </option_groups> </data> </question> </question_group> <question_group select="1"> <preamble><![CDATA[]]></preamble> <question id="1461ffb2467828b486e50f181d416635" type="GS_Choice_Answer_Question"> <metadata> <parameters> <rescale_score>1</rescale_score> <choice_type>radio</choice_type> </parameters> </metadata> <data> <text><![CDATA[
Suppose we have the following short movie reviews, each labeled with a genre, either comedy or action.

1.	fun, couple, love, love	comedy

2.	fast, furious, shoot	action

3.	couple, fly, fast, fun, fun	comedy

4.	furious, shoot, shoot, fun	action

5.	fly, fast, shoot, love	action

Now consider the following new review...

 fast, couple, shoot, fly
 Using a simple $$Naïve$$ $$Bayes$$ approach with $$Laplace$$ $$Smoothing$$, how would we classify this, comedy or action? (Hint: Don't forget to include the prior.)]]></text> <explanation><![CDATA[(See lecture slide #44 in the slide set on Text Classification and Naïve Bayes.) If r is our new review, we're looking for the class (genre) that maximizes (argmax) P(c|r), where P(c|r) is proportional to the prior probability of the class, P(c), times the product of P(w|c) for each word in r. P(c) is the number of reviews for each genre, divided by the total number of reviews. P(w|c) is the count of word w in class c plus 1 (i.e., smoothed), divided by the total count for w plus the vocabulary size (the number of unique words).]]></explanation> <option_groups randomize="true"> <option_group select="all"> <option id="d1176eb077773d390c27d02ede9c128a" selected_score="0" unselected_score="0"> <text><![CDATA[comedy]]></text> <explanation><![CDATA[]]></explanation> </option> <option id="1fd12aa962c43c1d1792d15423761880" selected_score="1" unselected_score="0"> <text><![CDATA[action]]></text> <explanation><![CDATA[]]></explanation> </option> </option_group> </option_groups> </data> </question> <question id="22c018825c89bf4e4de03c195bdfc693" type="GS_Choice_Answer_Question"> <metadata> <parameters> <rescale_score>1</rescale_score> <choice_type>radio</choice_type> </parameters> </metadata> <data> <text><![CDATA[
Suppose we have the following short movie reviews, each labeled with a genre, either comedy or action.

1.	fun, couple, love, love	comedy

2.	fast, furious, shoot	action

3.	couple, fly, fast, fun, fun	comedy

4.	furious, shoot, shoot, fun	action

5.	fly, fast, shoot, love	action

Now consider the following new review...

 fun, couple, shoot, fast
 Using a simple $$Naïve$$ $$Bayes$$ approach with $$Laplace$$ $$Smoothing$$, how would we classify this, comedy or action? (Hint: Don't forget to include the prior.)]]></text> <explanation><![CDATA[(See lecture slide #44 in the slide set on Text Classification and Naïve Bayes.) If r is our new review, we're looking for the class (genre) that maximizes (argmax) P(c|r), where P(c|r) is proportional to the prior probability of the class, P(c), times the product of P(w|c) for each word in r. P(c) is the number of reviews for each genre, divided by the total number of reviews. P(w|c) is the count of word w in class c plus 1 (i.e., smoothed), divided by the total count for w plus the vocabulary size (the number of unique words).]]></explanation> <option_groups randomize="true"> <option_group select="all"> <option id="283966c37410fce58fc269d13b3381a9" selected_score="0" unselected_score="0"> <text><![CDATA[comedy]]></text> <explanation><![CDATA[]]></explanation> </option> <option id="f9b1ee4d3dad4e6f5a18147512bdbc42" selected_score="1" unselected_score="0"> <text><![CDATA[action]]></text> <explanation><![CDATA[]]></explanation> </option> </option_group> </option_groups> </data> </question> <question id="95941c15e28af765a71ef21697ef10ee" type="GS_Choice_Answer_Question"> <metadata> <parameters> <rescale_score>1</rescale_score> <choice_type>radio</choice_type> </parameters> </metadata> <data> <text><![CDATA[
Suppose we have the following short movie reviews, each labeled with a genre, either comedy or action.

1.	fun, couple, love, love	comedy

2.	fast, furious, shoot	action

3.	couple, fly, fast, fun, fun	comedy

4.	furious, shoot, shoot, fun	action

5.	fly, fast, shoot, love	action

Now consider the following new review...

 fast, furious, fun
 Using a simple $$Naïve$$ $$Bayes$$ approach with $$Laplace$$ $$Smoothing$$, how would we classify this, comedy or action? (Hint: Don't forget to include the prior.)]]></text> <explanation><![CDATA[(See lecture slide #44 in the slide set on Text Classification and Naïve Bayes.) If r is our new review, we're looking for the class (genre) that maximizes (argmax) P(c|r), where P(c|r) is proportional to the prior probability of the class, P(c), times the product of P(w|c) for each word in r. P(c) is the number of reviews for each genre, divided by the total number of reviews. P(w|c) is the count of word w in class c plus 1 (i.e., smoothed), divided by the total count for w plus the vocabulary size (the number of unique words).]]></explanation> <option_groups randomize="true"> <option_group select="all"> <option id="d881e47f9bfa824a2bf10804e8697b96" selected_score="0" unselected_score="0"> <text><![CDATA[comedy]]></text> <explanation><![CDATA[]]></explanation> </option> <option id="e7f93d5942db3582289e2d18d3980e43" selected_score="1" unselected_score="0"> <text><![CDATA[action]]></text> <explanation><![CDATA[]]></explanation> </option> </option_group> </option_groups> </data> </question> </question_group> <question_group select="1"> <preamble><![CDATA[]]></preamble> <question id="aeef142288f28222b2e5f5b2054b0ab0" type="GS_Short_Answer_Question_Simple"> <metadata> <parameters> <rescale_score>1</rescale_score> <type>numeric</type> </parameters> </metadata> <data> <text><![CDATA[
As part of learning a sentiment lexicon for analyzing movie reviews, you decide to use the $$Turney$$ $$Polarity$$ method to compute the (real-valued) polarity of the phrase $$''special$$ $$effects''$$ using $$Pointwise$$ $$Mutual$$ $$Information$$ relative to the sentiment words $$''good''$$ and $$''bad''$$.
Here are some actual counts from a corpus of IMDB reviews, where NEAR means "within 10 words of".

 	count

corpus size (N)	1,595,494

unique types (V)	46,060

"special effects"	437

"good"	3124

"bad"	1791

"special effects" NEAR "good"	36

"special effects" NEAR "bad"	18

Your task is to calculate the value of $$Turney's$$ $$Polarity(''special$$ $$effects'')$$ with regard to $$''good''$$ and $$''bad''$$.
 (signed numerical response rounded to the nearest tenth, e.g., 0.1, –0.7, etc.)
]]></text> <explanation><![CDATA[See lecture slide #60 in the section "Learning Sentiment Lexicons". For this calculation, total size of corpus, vocabulary size, and standalone count of "special effects" are not needed. Polarity("special effects") = log2[ (count("special effects" NEAR "good") * count("bad")) / (count("special effects" NEAR "bad") * count("good")) ].]]></explanation> <option_groups randomize="true"> <option_group select="all"> <option id="46510fd78badaf7247ec0ff025450e1d" selected_score="1" unselected_score="0"> <text><![CDATA[0.2]]></text> <explanation><![CDATA[Option explanation]]></explanation> </option> </option_group> </option_groups> </data> </question> </question_group> <question_group select="1"> <preamble><![CDATA[]]></preamble> <question id="ef4180af3a58737fbc70bf6974bbe491" type="GS_Choice_Answer_Question"> <metadata> <parameters> <rescale_score>1</rescale_score> <choice_type>radio</choice_type> </parameters> </metadata> <data> <text><![CDATA[
Once again we'll look at sentiment in movie reviews, but this time we'll see if our analysis yields a different result with standard $$Naïve$$ $$Bayes$$ vs. a $$Binarized$$ $$(Boolean$$ $$feature)$$ $$Naïve$$ $$Bayes$$ approach.

We train our classifier with documents having the following counts for key sentiment words, with positive or negative class assigned as noted.

 	"good"	"poor"	"great"	(class)

d1.	3	0	3	pos

d2.	0	1	2	pos

d3.	1	3	0	neg

d4.	1	5	2	neg

d5.	0	2	0	neg

Now consider the following new review.

Good acting, poor plot.

Your task is to assign positive or negative sentiment first using standard $$Naïve$$ $$Bayes$$ then with a $$Binarized$$ $$Naïve$$ $$Bayes$$ approach. Do the different approaches yield the same result in this case? Which of the following matches the pattern of your results? (Hint: Use Add-1 smoothing with both methods.)

(response: [standard] / [binarized] )
]]></text> <explanation><![CDATA[(See lecture slide on "Binarized (Boolean feature) Multinomial Naïve Bayes".) Use the same method in each case, except that for the $$Binarized$$ approach, only count each word a maximum of once per document, i.e., transform the table of counts above to 0 or 1 for each cell.]]></explanation> <option_groups randomize="true"> <option_group select="all"> <option id="cff8bab45a28882b12717fd298eaa05a" selected_score="0" unselected_score="0"> <text><![CDATA[pos / pos]]></text> <explanation><![CDATA[Option explanation]]></explanation> </option> <option id="767ab9f5466a14c40743614f40d14de6" selected_score="0" unselected_score="0"> <text><![CDATA[pos / neg]]></text> <explanation><![CDATA[Option explanation]]></explanation> </option> <option id="116fc7d5e435153366e0071820d5d6cf" selected_score="0" unselected_score="0"> <text><![CDATA[neg / pos]]></text> <explanation><![CDATA[Option explanation]]></explanation> </option> <option id="d58b2b9ed93757a6d450a9e0813513e9" selected_score="1" unselected_score="0"> <text><![CDATA[neg / neg]]></text> <explanation><![CDATA[Option explanation]]></explanation> </option> </option_group> </option_groups> </data> </question> <question id="fddb7a47a4fd93f261fa0a690b37716f" type="GS_Choice_Answer_Question"> <metadata> <parameters> <rescale_score>1</rescale_score> <choice_type>radio</choice_type> </parameters> </metadata> <data> <text><![CDATA[
Once again we'll look at sentiment in movie reviews, but this time we'll see if our analysis yields a different result with standard $$Naïve$$ $$Bayes$$ vs. a $$Binarized$$ $$(Boolean$$ $$feature)$$ $$Naïve$$ $$Bayes$$ approach.

We train our classifier with documents having the following counts for key sentiment words, with positive or negative class assigned as noted.

 	"good"	"poor"	"great"	(class)

d1.	3	0	3	pos

d2.	0	1	2	pos

d3.	1	3	0	neg

d4.	1	5	2	neg

d5.	0	2	0	neg

Now consider the following new review.

A good, good plot and great characters, but poor acting.

Your task is to assign positive or negative sentiment first using standard $$Naïve$$ $$Bayes$$ then with a $$Binarized$$ $$Naïve$$ $$Bayes$$ approach. Do the different approaches yield the same result in this case? Which of the following matches the pattern of your results? (Hint: Use Add-1 smoothing with both methods.)

(response: [standard] / [binarized] )
]]></text> <explanation><![CDATA[(See lecture slide on "Binarized (Boolean feature) Multinomial Naïve Bayes".) Use the same method in each case, except that for the $$Binarized$$ approach, only count each word a maximum of once per document, i.e., transform the table of counts above to 0 or 1 for each cell.]]></explanation> <option_groups randomize="true"> <option_group select="all"> <option id="eccb4e2121cc635283a87b918a15fabe" selected_score="1" unselected_score="0"> <text><![CDATA[pos / pos]]></text> <explanation><![CDATA[Option explanation]]></explanation> </option> <option id="7c8283027e775a9227735066f0dd0b72" selected_score="1" unselected_score="0"> <text><![CDATA[pos / neg]]></text> <explanation><![CDATA[Option explanation]]></explanation> </option> <option id="d64cdca2de02ebb7ca7ce07d43ce2c9f" selected_score="0" unselected_score="0"> <text><![CDATA[neg / pos]]></text> <explanation><![CDATA[Option explanation]]></explanation> </option> <option id="b40a9797a334eb5e51fa3aa774780eeb" selected_score="0" unselected_score="0"> <text><![CDATA[neg / neg]]></text> <explanation><![CDATA[Option explanation]]></explanation> </option> </option_group> </option_groups> </data> </question> </question_group> </question_groups> </data> </quiz>
Exit Without Saving
{"0":"Coursera","1":"Preferences","2":"All Courses","3":"Admin","4":"Support","5":"I18N Editor","6":"About","7":"Contact Us","8":"Logout","9":"Natural Language Processing"}
This page features MathJax technology to render mathematical formulae. If you are using a screen reader, please visit
MathPlayer
to download the plugin for your browser. Please note that this is an Internet Explorer-only plugin at this time.


public interface Scheduler
A Scheduler
maintains a registry of
s
and JobDetail
s. Once registered, the Trigger
Scheduler
is responsible for executing Job
s when their associated
Trigger
s fire (when their scheduled time arrives).
Scheduler
instances are produced by a
.
A scheduler that has already been created/initialized can be found and used
through the same factory that produced it. After a SchedulerFactory
Scheduler
has been created, it is in "stand-by" mode, and must have its
start()
method called before it will fire any Job
s.
Job
s are to be created by the 'client program', by defining
a class that implements the
interface. Job
objects are then created (also
by the client) to define a individual instances of the JobDetail
Job
.
JobDetail
instances can then be registered with the Scheduler
via the scheduleJob(JobDetail, Trigger)
or addJob(JobDetail, boolean)
method.
Trigger
s can then be defined to fire individual Job
instances based on given schedules. SimpleTrigger
s are most
useful for one-time firings, or firing at an exact moment in time, with N
repeats with a given delay between them. CronTrigger
s allow
scheduling based on time of day, day of week, day of month, and month of
year.
Job
s and Trigger
s have a name and group
associated with them, which should uniquely identify them within a single
. The 'group' feature may be useful for
creating logical groupings or categorizations of Scheduler
Jobs
s and
Triggers
s. If you don't have need for assigning a group to a
given Jobs
of Triggers
, then you can use the
DEFAULT_GROUP
constant defined on this interface.
Stored Job
s can also be 'manually' triggered through the use
of the triggerJob(String jobName, String jobGroup)
function.
Client programs may also be interested in the 'listener' interfaces that are
available from Quartz. The
interface
provides notifications of JobListener
Job
executions. The
interface provides notifications of TriggerListener
Trigger
firings. The
interface provides notifications of
SchedulerListener
Scheduler
events and errors. Listeners can be associated with
local schedulers through the ListenerManager
interface.
The setup/configuration of a Scheduler
instance is very
customizable. Please consult the documentation distributed with Quartz.
Job
,
JobDetail
,
JobBuilder
,
Trigger
,
TriggerBuilder
,
JobListener
,
TriggerListener
,
SchedulerListener
| Modifier and Type | Field and Description |
|---|---|
static String |
DEFAULT_FAIL_OVER_GROUP
A constant
Trigger group name used internally by the
scheduler - clients should not use the value of this constant
("FAILED_OVER_JOBS") for the name of a Trigger 's group. |
static String |
DEFAULT_GROUP
A (possibly) useful constant that can be used for specifying the group
that
Job and Trigger instances belong to. |
static String |
DEFAULT_RECOVERY_GROUP
A constant
Trigger group name used internally by the
scheduler - clients should not use the value of this constant
("RECOVERING_JOBS") for the name of a Trigger 's group. |
static String |
FAILED_JOB_ORIGINAL_TRIGGER_FIRETIME_IN_MILLISECONDS
A constant
JobDataMap key that can be used to retrieve the
fire time of the original Trigger from a recovery
trigger's data map in the case of a job recovering after a failed scheduler
instance. |
static String |
FAILED_JOB_ORIGINAL_TRIGGER_GROUP
A constant
JobDataMap key that can be used to retrieve the
group of the original Trigger from a recovery trigger's
data map in the case of a job recovering after a failed scheduler
instance. |
static String |
FAILED_JOB_ORIGINAL_TRIGGER_NAME
A constant
JobDataMap key that can be used to retrieve the
name of the original Trigger from a recovery trigger's
data map in the case of a job recovering after a failed scheduler
instance. |
static String |
FAILED_JOB_ORIGINAL_TRIGGER_SCHEDULED_FIRETIME_IN_MILLISECONDS
A constant
JobDataMap key that can be used to retrieve the
scheduled fire time of the original Trigger from a recovery
trigger's data map in the case of a job recovering after a failed scheduler
instance. |
| Modifier and Type | Method and Description |
|---|---|
void |
addCalendar(String calName,
Calendar calendar,
boolean replace,
boolean updateTriggers)
Add (register) the given
Calendar to the Scheduler. |
void |
addJob(JobDetail jobDetail,
boolean replace)
Add the given
Job to the Scheduler - with no associated
Trigger . |
void |
addJob(JobDetail jobDetail,
boolean replace,
boolean storeNonDurableWhileAwaitingScheduling)
Add the given
Job to the Scheduler - with no associated
Trigger . |
boolean |
checkExists(JobKey jobKey)
Determine whether a
Job with the given identifier already
exists within the scheduler. |
boolean |
checkExists(TriggerKey triggerKey)
Determine whether a
Trigger with the given identifier already
exists within the scheduler. |
void |
clear()
|
boolean |
deleteCalendar(String calName)
Delete the identified
Calendar from the Scheduler. |
boolean |
deleteJob(JobKey jobKey)
Delete the identified
Job from the Scheduler - and any
associated Trigger s. |
boolean |
deleteJobs(List<JobKey> jobKeys)
Delete the identified
Job s from the Scheduler - and any
associated Trigger s. |
Calendar |
getCalendar(String calName)
Get the
instance with the given name. |
List<String> |
getCalendarNames()
Get the names of all registered
. |
SchedulerContext |
getContext()
Returns the
SchedulerContext of the Scheduler . |
List<JobExecutionContext> |
getCurrentlyExecutingJobs()
Return a list of
JobExecutionContext objects that
represent all currently executing Jobs in this Scheduler instance. |
JobDetail |
getJobDetail(JobKey jobKey)
Get the
for the Job
instance with the given key. |
List<String> |
getJobGroupNames()
Get the names of all known
groups. |
Set<JobKey> |
getJobKeys(GroupMatcher<JobKey> matcher)
Get the keys of all the
in the matching groups. |
ListenerManager |
getListenerManager()
Get a reference to the scheduler's
ListenerManager ,
through which listeners may be registered. |
SchedulerMetaData |
getMetaData()
Get a
SchedulerMetaData object describing the settings
and capabilities of the scheduler instance. |
Set<String> |
getPausedTriggerGroups()
Get the names of all
groups that are paused. |
String |
getSchedulerInstanceId()
Returns the instance Id of the
Scheduler . |
String |
getSchedulerName()
Returns the name of the
Scheduler . |
Trigger |
getTrigger(TriggerKey triggerKey)
Get the
instance with the given key. |
List<String> |
getTriggerGroupNames()
Get the names of all known
groups. |
Set<TriggerKey> |
getTriggerKeys(GroupMatcher<TriggerKey> matcher)
Get the names of all the
in the given
group. |
List<? extends Trigger> |
getTriggersOfJob(JobKey jobKey)
|
Trigger.TriggerState |
getTriggerState(TriggerKey triggerKey)
Get the current state of the identified
. |
boolean |
interrupt(JobKey jobKey)
Request the interruption, within this Scheduler instance, of all
currently executing instances of the identified
Job , which
must be an implementor of the InterruptableJob interface. |
boolean |
interrupt(String fireInstanceId)
Request the interruption, within this Scheduler instance, of the
identified executing
Job instance, which
must be an implementor of the InterruptableJob interface. |
boolean |
isInStandbyMode()
Reports whether the
Scheduler is in stand-by mode. |
boolean |
isShutdown()
Reports whether the
Scheduler has been shutdown. |
boolean |
isStarted()
Whether the scheduler has been started.
|
void |
pauseAll()
Pause all triggers - similar to calling
pauseTriggerGroup(group)
on every group, however, after using this method resumeAll()
must be called to clear the scheduler's state of 'remembering' that all
new triggers will be paused as they are added. |
void |
pauseJob(JobKey jobKey)
Pause the
with the given
key - by pausing all of its current Trigger s. |
void |
pauseJobs(GroupMatcher<JobKey> matcher)
Pause all of the
in the
matching groups - by pausing all of their Trigger s. |
void |
pauseTrigger(TriggerKey triggerKey)
Pause the
with the given key. |
void |
pauseTriggers(GroupMatcher<TriggerKey> matcher)
Pause all of the
in the groups matching. |
Date |
rescheduleJob(TriggerKey triggerKey,
Trigger newTrigger)
Remove (delete) the
with the
given key, and store the new given one - which must be associated
with the same job (the new trigger must have the job name & group specified)
- however, the new trigger need not have the same name as the old trigger. |
void |
resetTriggerFromErrorState(TriggerKey triggerKey)
Reset the current state of the identified
from Trigger.TriggerState.ERROR to Trigger.TriggerState.NORMAL or
Trigger.TriggerState.PAUSED as appropriate. |
void |
resumeAll()
Resume (un-pause) all triggers - similar to calling
resumeTriggerGroup(group) on every group. |
void |
resumeJob(JobKey jobKey)
Resume (un-pause) the
with
the given key. |
void |
resumeJobs(GroupMatcher<JobKey> matcher)
Resume (un-pause) all of the
in matching groups. |
void |
resumeTrigger(TriggerKey triggerKey)
Resume (un-pause) the
with the given
key. |
void |
resumeTriggers(GroupMatcher<TriggerKey> matcher)
Resume (un-pause) all of the
in matching groups. |
void |
scheduleJob(JobDetail jobDetail,
Set<? extends Trigger> triggersForJob,
boolean replace)
Schedule the given job with the related set of triggers.
|
Date |
scheduleJob(JobDetail jobDetail,
Trigger trigger)
|
Date |
scheduleJob(Trigger trigger)
|
void |
scheduleJobs(Map<JobDetail,Set<? extends Trigger>> triggersAndJobs,
boolean replace)
Schedule all of the given jobs with the related set of triggers.
|
void |
setJobFactory(JobFactory factory)
Set the
JobFactory that will be responsible for producing
instances of Job classes. |
void |
shutdown()
Halts the
Scheduler 's firing of ,
and cleans up all resources associated with the Scheduler. |
void |
shutdown(boolean waitForJobsToComplete)
Halts the
Scheduler 's firing of ,
and cleans up all resources associated with the Scheduler. |
void |
standby()
Temporarily halts the
Scheduler 's firing of . |
void |
start()
Starts the
Scheduler 's threads that fire . |
void |
startDelayed(int seconds)
Calls {#start()} after the indicated number of seconds.
|
void |
triggerJob(JobKey jobKey)
Trigger the identified
(execute it now). |
void |
triggerJob(JobKey jobKey,
JobDataMap data)
Trigger the identified
(execute it now). |
boolean |
unscheduleJob(TriggerKey triggerKey)
Remove the indicated
from the scheduler. |
boolean |
unscheduleJobs(List<TriggerKey> triggerKeys)
Remove all of the indicated
s from the scheduler. |
static final String DEFAULT_GROUP
Job
and Trigger
instances belong to.static final String DEFAULT_RECOVERY_GROUP
Trigger
group name used internally by the
scheduler - clients should not use the value of this constant
("RECOVERING_JOBS") for the name of a Trigger
's group.static final String DEFAULT_FAIL_OVER_GROUP
Trigger
group name used internally by the
scheduler - clients should not use the value of this constant
("FAILED_OVER_JOBS") for the name of a Trigger
's group.static final String FAILED_JOB_ORIGINAL_TRIGGER_NAME
JobDataMap
key that can be used to retrieve the
name of the original Trigger
from a recovery trigger's
data map in the case of a job recovering after a failed scheduler
instance.static final String FAILED_JOB_ORIGINAL_TRIGGER_GROUP
JobDataMap
key that can be used to retrieve the
group of the original Trigger
from a recovery trigger's
data map in the case of a job recovering after a failed scheduler
instance.static final String FAILED_JOB_ORIGINAL_TRIGGER_FIRETIME_IN_MILLISECONDS
JobDataMap
key that can be used to retrieve the
fire time of the original Trigger
from a recovery
trigger's data map in the case of a job recovering after a failed scheduler
instance.
Note that this is the time the original firing actually occurred, which may be different from the scheduled fire time - as a trigger doesn't always fire exactly on time.
static final String FAILED_JOB_ORIGINAL_TRIGGER_SCHEDULED_FIRETIME_IN_MILLISECONDS
JobDataMap
key that can be used to retrieve the
scheduled fire time of the original Trigger
from a recovery
trigger's data map in the case of a job recovering after a failed scheduler
instance.
Note that this is the time the original firing was scheduled for, which may be different from the actual firing time - as a trigger doesn't always fire exactly on time.
String getSchedulerName() throws SchedulerException
Scheduler
.SchedulerException
String getSchedulerInstanceId() throws SchedulerException
Scheduler
.SchedulerException
SchedulerContext getContext() throws SchedulerException
SchedulerContext
of the Scheduler
.SchedulerException
void start() throws SchedulerException
Scheduler
's threads that fire Trigger
s
.
When a scheduler is first created it is in "stand-by" mode, and will not
fire triggers. The scheduler can also be put into stand-by mode by
calling the standby()
method.
The misfire/recovery process will be started, if it is the initial call to this method on this scheduler instance.
SchedulerException
- if shutdown()
has been called, or there is an
error within the Scheduler
.startDelayed(int)
,
standby()
,
shutdown()
void startDelayed(int seconds) throws SchedulerException
SchedulerException
- if shutdown()
has been called, or there is an
error within the Scheduler
.start()
,
standby()
,
shutdown()
boolean isStarted() throws SchedulerException
Note: This only reflects whether
has ever
been called on this Scheduler, so it will return start()
true
even
if the Scheduler
is currently in standby mode or has been
since shutdown.
SchedulerException
start()
,
isShutdown()
,
isInStandbyMode()
void standby() throws SchedulerException
Scheduler
's firing of Trigger
s
.
When start()
is called (to bring the scheduler out of
stand-by mode), trigger misfire instructions will NOT be applied
during the execution of the start()
method - any misfires
will be detected immediately afterward (by the JobStore
's
normal process).
The scheduler is not destroyed, and can be re-started at any time.
SchedulerException
start()
,
pauseAll()
boolean isInStandbyMode() throws SchedulerException
Scheduler
is in stand-by mode.SchedulerException
standby()
,
start()
void shutdown() throws SchedulerException
Scheduler
's firing of Trigger
s
,
and cleans up all resources associated with the Scheduler. Equivalent to
shutdown(false)
.
The scheduler cannot be re-started.
SchedulerException
shutdown(boolean)
void shutdown(boolean waitForJobsToComplete) throws SchedulerException
Scheduler
's firing of Trigger
s
,
and cleans up all resources associated with the Scheduler.
The scheduler cannot be re-started.
waitForJobsToComplete
- if true
the scheduler will not allow this method
to return until all currently executing jobs have completed.SchedulerException
shutdown()
boolean isShutdown() throws SchedulerException
Scheduler
has been shutdown.SchedulerException
SchedulerMetaData getMetaData() throws SchedulerException
SchedulerMetaData
object describing the settings
and capabilities of the scheduler instance.
Note that the data returned is an 'instantaneous' snap-shot, and that as soon as it's returned, the meta data values may be different.
SchedulerException
List<JobExecutionContext> getCurrentlyExecutingJobs() throws SchedulerException
JobExecutionContext
objects that
represent all currently executing Jobs in this Scheduler instance.
This method is not cluster aware. That is, it will only return Jobs currently executing in this Scheduler instance, not across the entire cluster.
Note that the list returned is an 'instantaneous' snap-shot, and that as
soon as it's returned, the true list of executing jobs may be different.
Also please read the doc associated with JobExecutionContext
-
especially if you're using RMI.
SchedulerException
JobExecutionContext
void setJobFactory(JobFactory factory) throws SchedulerException
JobFactory
that will be responsible for producing
instances of Job
classes.
JobFactories may be of use to those wishing to have their application
produce Job
instances via some special mechanism, such as to
give the opportunity for dependency injection.
SchedulerException
JobFactory
ListenerManager getListenerManager() throws SchedulerException
ListenerManager
,
through which listeners may be registered.ListenerManager
SchedulerException
- if the scheduler is not localListenerManager
,
JobListener
,
TriggerListener
,
SchedulerListener
Date scheduleJob(JobDetail jobDetail, Trigger trigger) throws SchedulerException
JobDetail
to the
Scheduler, and associate the given Trigger
with
it.
If the given Trigger does not reference any Job
, then it
will be set to reference the Job passed with it into this method.
SchedulerException
- if the Job or Trigger cannot be added to the Scheduler, or
there is an internal Scheduler error.Date scheduleJob(Trigger trigger) throws SchedulerException
SchedulerException
- if the indicated Job does not exist, or the Trigger cannot be
added to the Scheduler, or there is an internal Scheduler
error.void scheduleJobs(Map<JobDetail,Set<? extends Trigger>> triggersAndJobs, boolean replace) throws SchedulerException
If any of the given jobs or triggers already exist (or more specifically, if the keys are not unique) and the replace parameter is not set to true then an exception will be thrown.
ObjectAlreadyExistsException
- if the job/trigger keys
are not unique and the replace flag is not set to true.SchedulerException
void scheduleJob(JobDetail jobDetail, Set<? extends Trigger> triggersForJob, boolean replace) throws SchedulerException
If any of the given job or triggers already exist (or more specifically, if the keys are not unique) and the replace parameter is not set to true then an exception will be thrown.
ObjectAlreadyExistsException
- if the job/trigger keys
are not unique and the replace flag is not set to true.SchedulerException
boolean unscheduleJob(TriggerKey triggerKey) throws SchedulerException
Trigger
from the scheduler.
If the related job does not have any other triggers, and the job is not durable, then the job will also be deleted.
SchedulerException
boolean unscheduleJobs(List<TriggerKey> triggerKeys) throws SchedulerException
Trigger
s from the scheduler.
If the related job does not have any other triggers, and the job is not durable, then the job will also be deleted.
Note that while this bulk operation is likely more efficient than
invoking unscheduleJob(TriggerKey triggerKey)
several
times, it may have the adverse affect of holding data locks for a
single long duration of time (rather than lots of small durations
of time).
SchedulerException
Date rescheduleJob(TriggerKey triggerKey, Trigger newTrigger) throws SchedulerException
Trigger
with the
given key, and store the new given one - which must be associated
with the same job (the new trigger must have the job name & group specified)
- however, the new trigger need not have the same name as the old trigger.triggerKey
- identity of the trigger to replacenewTrigger
- The new Trigger
to be stored.null
if a Trigger
with the given
name & group was not found and removed from the store (and the
new trigger is therefore not stored), otherwise
the first fire time of the newly scheduled trigger is returned.SchedulerException
void addJob(JobDetail jobDetail, boolean replace) throws SchedulerException
Job
to the Scheduler - with no associated
Trigger
. The Job
will be 'dormant' until
it is scheduled with a Trigger
, or Scheduler.triggerJob()
is called for it.
The Job
must by definition be 'durable', if it is not,
SchedulerException will be thrown.
SchedulerException
- if there is an internal Scheduler error, or if the Job is not
durable, or a Job with the same name already exists, and
replace
is false
.addJob(JobDetail, boolean, boolean)
void addJob(JobDetail jobDetail, boolean replace, boolean storeNonDurableWhileAwaitingScheduling) throws SchedulerException
Job
to the Scheduler - with no associated
Trigger
. The Job
will be 'dormant' until
it is scheduled with a Trigger
, or Scheduler.triggerJob()
is called for it.
With the storeNonDurableWhileAwaitingScheduling
parameter
set to true
, a non-durable job can be stored. Once it is
scheduled, it will resume normal non-durable behavior (i.e. be deleted
once there are no remaining associated triggers).
SchedulerException
- if there is an internal Scheduler error, or if the Job is not
durable, or a Job with the same name already exists, and
replace
is false
.boolean deleteJob(JobKey jobKey) throws SchedulerException
Job
from the Scheduler - and any
associated Trigger
s.SchedulerException
- if there is an internal Scheduler error.boolean deleteJobs(List<JobKey> jobKeys) throws SchedulerException
Job
s from the Scheduler - and any
associated Trigger
s.
Note that while this bulk operation is likely more efficient than
invoking deleteJob(JobKey jobKey)
several
times, it may have the adverse affect of holding data locks for a
single long duration of time (rather than lots of small durations
of time).
SchedulerException
- if there is an internal Scheduler error.void triggerJob(JobKey jobKey) throws SchedulerException
JobDetail
(execute it now).SchedulerException
void triggerJob(JobKey jobKey, JobDataMap data) throws SchedulerException
JobDetail
(execute it now).data
- the (possibly null
) JobDataMap to be
associated with the trigger that fires the job immediately.SchedulerException
void pauseJob(JobKey jobKey) throws SchedulerException
JobDetail
with the given
key - by pausing all of its current Trigger
s.SchedulerException
resumeJob(JobKey)
void pauseJobs(GroupMatcher<JobKey> matcher) throws SchedulerException
JobDetail
s
in the
matching groups - by pausing all of their Trigger
s.
The Scheduler will "remember" the groups paused, and impose the pause on any new jobs that are added to any of those groups until it is resumed.
NOTE: There is a limitation that only exactly matched groups can be remembered as paused. For example, if there are pre-existing job in groups "aaa" and "bbb" and a matcher is given to pause groups that start with "a" then the group "aaa" will be remembered as paused and any subsequently added jobs in group "aaa" will be paused, however if a job is added to group "axx" it will not be paused, as "axx" wasn't known at the time the "group starts with a" matcher was applied. HOWEVER, if there are pre-existing groups "aaa" and "bbb" and a matcher is given to pause the group "axx" (with a group equals matcher) then no jobs will be paused, but it will be remembered that group "axx" is paused and later when a job is added in that group, it will become paused.
matcher
- The matcher to evaluate against know groupsSchedulerException
- On errorresumeJobs(org.quartz.impl.matchers.GroupMatcher)
void pauseTrigger(TriggerKey triggerKey) throws SchedulerException
Trigger
with the given key.SchedulerException
resumeTrigger(TriggerKey)
void pauseTriggers(GroupMatcher<TriggerKey> matcher) throws SchedulerException
Trigger
s
in the groups matching.
The Scheduler will "remember" all the groups paused, and impose the pause on any new triggers that are added to any of those groups until it is resumed.
NOTE: There is a limitation that only exactly matched groups can be remembered as paused. For example, if there are pre-existing triggers in groups "aaa" and "bbb" and a matcher is given to pause groups that start with "a" then the group "aaa" will be remembered as paused and any subsequently added triggers in that group be paused, however if a trigger is added to group "axx" it will not be paused, as "axx" wasn't known at the time the "group starts with a" matcher was applied. HOWEVER, if there are pre-existing groups "aaa" and "bbb" and a matcher is given to pause the group "axx" (with a group equals matcher) then no triggers will be paused, but it will be remembered that group "axx" is paused and later when a trigger is added in that group, it will become paused.
matcher
- The matcher to evaluate against know groupsSchedulerException
resumeTriggers(org.quartz.impl.matchers.GroupMatcher)
void resumeJob(JobKey jobKey) throws SchedulerException
JobDetail
with
the given key.
If any of the Job
'sTrigger
s missed one
or more fire-times, then the Trigger
's misfire
instruction will be applied.
SchedulerException
pauseJob(JobKey)
void resumeJobs(GroupMatcher<JobKey> matcher) throws SchedulerException
JobDetail
s
in matching groups.
If any of the Job
s had Trigger
s that
missed one or more fire-times, then the Trigger
's
misfire instruction will be applied.
matcher
- The matcher to evaluate against known paused groupsSchedulerException
- On errorpauseJobs(GroupMatcher)
void resumeTrigger(TriggerKey triggerKey) throws SchedulerException
Trigger
with the given
key.
If the Trigger
missed one or more fire-times, then the
Trigger
's misfire instruction will be applied.
SchedulerException
pauseTrigger(TriggerKey)
void resumeTriggers(GroupMatcher<TriggerKey> matcher) throws SchedulerException
Trigger
s
in matching groups.
If any Trigger
missed one or more fire-times, then the
Trigger
's misfire instruction will be applied.
matcher
- The matcher to evaluate against know paused groupsSchedulerException
- On errorpauseTriggers(org.quartz.impl.matchers.GroupMatcher)
void pauseAll() throws SchedulerException
pauseTriggerGroup(group)
on every group, however, after using this method resumeAll()
must be called to clear the scheduler's state of 'remembering' that all
new triggers will be paused as they are added.
When resumeAll()
is called (to un-pause), trigger misfire
instructions WILL be applied.
SchedulerException
resumeAll()
,
pauseTriggers(org.quartz.impl.matchers.GroupMatcher)
,
standby()
void resumeAll() throws SchedulerException
resumeTriggerGroup(group)
on every group.
If any Trigger
missed one or more fire-times, then the
Trigger
's misfire instruction will be applied.
SchedulerException
pauseAll()
List<String> getJobGroupNames() throws SchedulerException
JobDetail
groups.SchedulerException
Set<JobKey> getJobKeys(GroupMatcher<JobKey> matcher) throws SchedulerException
JobDetail
s
in the matching groups.matcher
- Matcher to evaluate against known groupsSchedulerException
- On errorList<? extends Trigger> getTriggersOfJob(JobKey jobKey) throws SchedulerException
Trigger
s that are associated with the
identified JobDetail
.
The returned Trigger objects will be snap-shots of the actual stored
triggers. If you wish to modify a trigger, you must re-store the
trigger afterward (e.g. see rescheduleJob(TriggerKey, Trigger)
).
SchedulerException
List<String> getTriggerGroupNames() throws SchedulerException
Trigger
groups.SchedulerException
Set<TriggerKey> getTriggerKeys(GroupMatcher<TriggerKey> matcher) throws SchedulerException
Trigger
s
in the given
group.matcher
- Matcher to evaluate against known groupsSchedulerException
- On errorSet<String> getPausedTriggerGroups() throws SchedulerException
Trigger
groups that are paused.SchedulerException
JobDetail getJobDetail(JobKey jobKey) throws SchedulerException
JobDetail
for the Job
instance with the given key.
The returned JobDetail object will be a snap-shot of the actual stored
JobDetail. If you wish to modify the JobDetail, you must re-store the
JobDetail afterward (e.g. see addJob(JobDetail, boolean)
).
SchedulerException
Trigger getTrigger(TriggerKey triggerKey) throws SchedulerException
Trigger
instance with the given key.
The returned Trigger object will be a snap-shot of the actual stored
trigger. If you wish to modify the trigger, you must re-store the
trigger afterward (e.g. see rescheduleJob(TriggerKey, Trigger)
).
SchedulerException
Trigger.TriggerState getTriggerState(TriggerKey triggerKey) throws SchedulerException
Trigger
.SchedulerException
Trigger.TriggerState
void resetTriggerFromErrorState(TriggerKey triggerKey) throws SchedulerException
Trigger
from Trigger.TriggerState.ERROR
to Trigger.TriggerState.NORMAL
or
Trigger.TriggerState.PAUSED
as appropriate.
Only affects triggers that are in ERROR state - if identified trigger is not in that state then the result is a no-op.
The result will be the trigger returning to the normal, waiting to be fired state, unless the trigger's group has been paused, in which case it will go into the PAUSED state.
SchedulerException
Trigger.TriggerState
void addCalendar(String calName, Calendar calendar, boolean replace, boolean updateTriggers) throws SchedulerException
Calendar
to the Scheduler.updateTriggers
- whether or not to update existing triggers that
referenced the already existing calendar so that they are 'correct'
based on the new trigger.SchedulerException
- if there is an internal Scheduler error, or a Calendar with
the same name already exists, and replace
is
false
.boolean deleteCalendar(String calName) throws SchedulerException
Calendar
from the Scheduler.
If removal of the Calendar
would result in
Trigger
s pointing to non-existent calendars, then a
SchedulerException
will be thrown.
SchedulerException
- if there is an internal Scheduler error, or one or more
triggers reference the calendarCalendar getCalendar(String calName) throws SchedulerException
Calendar
instance with the given name.SchedulerException
List<String> getCalendarNames() throws SchedulerException
Calendar
s
.SchedulerException
boolean interrupt(JobKey jobKey) throws UnableToInterruptJobException
Job
, which
must be an implementor of the InterruptableJob
interface.
If more than one instance of the identified job is currently executing,
the InterruptableJob#interrupt()
method will be called on
each instance. However, there is a limitation that in the case that
interrupt()
on one instances throws an exception, all
remaining instances (that have not yet been interrupted) will not have
their interrupt()
method called.
This method is not cluster aware. That is, it will only interrupt instances of the identified InterruptableJob currently executing in this Scheduler instance, not across the entire cluster.
UnableToInterruptJobException
- if the job does not implement
InterruptableJob
, or there is an exception while
interrupting the job.InterruptableJob.interrupt()
,
getCurrentlyExecutingJobs()
,
interrupt(String)
boolean interrupt(String fireInstanceId) throws UnableToInterruptJobException
Job
instance, which
must be an implementor of the InterruptableJob
interface.
This method is not cluster aware. That is, it will only interrupt instances of the identified InterruptableJob currently executing in this Scheduler instance, not across the entire cluster.
fireInstanceId
- the unique identifier of the job instance to
be interrupted (see JobExecutionContext.getFireInstanceId()
UnableToInterruptJobException
- if the job does not implement
InterruptableJob
, or there is an exception while
interrupting the job.InterruptableJob.interrupt()
,
getCurrentlyExecutingJobs()
,
JobExecutionContext.getFireInstanceId()
,
interrupt(JobKey)
boolean checkExists(JobKey jobKey) throws SchedulerException
Job
with the given identifier already
exists within the scheduler.jobKey
- the identifier to check forSchedulerException
boolean checkExists(TriggerKey triggerKey) throws SchedulerException
Trigger
with the given identifier already
exists within the scheduler.triggerKey
- the identifier to check forSchedulerException
void clear() throws SchedulerException
SchedulerException
Copyright 2001-2019, Terracotta, Inc.


Submit Response
Look at the picture of a sign found in Japan.
What does it indicate to you?
You have reached a safety point.
Watch out for open manhole covers.
Watch out for puddles of water.
None of the above.


Nehemiah 4:21
So we laboured in the work: and half of them held the spears from the rising of the morning till the stars appeared.


VTM Telecomloop 15 km
Maasdijk NED
Website: www.vtmtelecomloop.nl
Race Winners
(41 runnings)
58:08 56:01 57:59 57:34 09 Jun
2007
45:24
56:51
11 Jun
2006
46:30
57:37
11 Jun
2005
45:13
54:46
12 Jun
2004
44:24
57:12
14 Jun
2003
45:57
58:39
09 Jun
2002
45:09
55:06
10
Jun
2001
45:47
1:00:03
10 Jun
2000
43:55
54:25
12 Jun
1999
46:45
56:41
13 Jun
1998
46:13
57:19
14 Jun
1997
47:08
55:16
08 Jun
1996
44:41
52:52
10 Jun
1995
45:39
53:09
11 Jun
1994
45:01
52:12
12 Jun
1993
45:32
50:00
13 Jun
1992
46:15
56:19
08 Jun
1991
48:10
55:54
13 Jun
1990
47:30
55:40
14 Jun
1989
48:54
56:57
08 Jun
1988
46:51
59:07
10 Jun
1987
50:44+
1:08:00+
11 Jun
1986
48:55
---
12 Jun
1985
47:03
1:02:53
13 Jun
1984
48:13
1:00:49
08 Jun
1983
48:08
56:20
09 Jun
1982
46:26
56:15
10 Jun
1981
48:08
55:56
04 Jun
1980
49:34
58:31
06 Jun
1979
49:34
1:02:35
07 Jun
1978
49:09
---
08 Jun
1977
47:47
---
02 Jun
1976
47:16
1:12:50
11 Jun
1975
---
---
Notes: 1975 was the inaugural year. This race was held on Wednesdays thru 1991. The 1987 course was long. For 1975-1990,
the course was two loops with the start and finish in Hoek vanHolland; for 1991 to date, the course was one small
loop and two larger loops with the start and finish in Maasdijk. This race
was known as the Jan Knijnenburgloop 15 km thru the 2009 running. The race
distance prior to 2012 was 15 km.
30 Jul
2016
31:39
Michael Gebrehimet
37:38
Fanos Tekle
25 Jul
2015
---
cancelled due to predicted storm
---
cancelled due to predicted storm
26 Jun
2014
33:35
Stanislas Talonski (NED)
38:14
Christine Venhuizen (NED)
08 Jun
2013
33:00
Mike Barsaiyan (BDI)
38:26
Marlies Jongerius (NED)
09 Jun
2012
30:16
Thomas Poesiat (NED)
36:59
Renata Haring (NED)
25 Jun
2011
48:40
Mostafa Channi (MAR)
Carla Ophorst-7
05 Jun
2010
46:33
Noureddine Htaibi (MAR)
Laila Filla (MAR)
13 Jun
2009
50:46
Patrick Kwist (NED)
Lindsay vanMarrewijk (NED)
14 Jun
2008
50:58
Willem Lenting (NED)
Carla Ophorst-6
El Arbi Essraidi (FRA)
Carla Ophorst-5
Mouhcine Akhoudaoui (FRA)
Kim Offergeld (BEL)
Musa Kipkemboi (KEN)
Wioletta Kryza-2
David Koech (KEN)
Carla Ophorst-4
Lambert Ndayikeza (BDI)
Marian Hoogerbrugge (NED)
Jamal Baligha (MAR)
Lydia Kurgat (KEN)
Vital Gahungu (BDI)
Carla Ophorst-3
Hilaire n'Tirempeba (BDI)
Lyudmila Afonjushkina (RUS)
Theo vandenAbeel
Wioletta Kryza (POL)
Michael deMaat-3
Carla Ophorst-2
Wilfred Kiplagat (KEN)
Carla Ophorst (NED)
Ronald Schut (NED)
Kirsi Mattila (FIN)
Zbigniew Nadolski (POL)
Mieke Pullen (NED)
Jaime Rodriguez (MEX)
Brenda Sleeuwenhoek (NED)
Alan Jackson (GBR)
Marian Sutton (ENG)
Michael deMaat-2
Jarmila Urbanova (CZE)
Peter vanMarrewijk (NED)
Marja vanderWerf (NED)
Michael deMaat (NED)
Ineke Vis-3
Paul Overbeek (NED)
Ineke Vis-2
Kimball Rijnierse (NED)
Ineke Vis (NED)
Harry Verstrepen (NED)
Joke vanderVoort (NED)
Peter Schouw (NED)
n/a
Jacques Valentin-5
Marian Hoogerhoud-2
Walter vanRossum (NED)
Hennie Veldhuis (NED)
Jacques Valentin-4
Elly Smit (NED)
Jacques Valentin-3
Ine Valentin-3
Steef Kijne-2
Ine Valentin-2
Jacques Valentin-2
Ine Valentin (NED)
Jacques Valentin (NED)
Marian Hoogerhoud (NED)
Johan Kijne-2
n/a
Johan Kijne (NED)
n/a
Steef Kijne (NED)
Tine Bronswijk (NED)
n/a
n/a
Most Wins
(1975/date)
Men
5
Jacques Valentin (NED)
1979-80,1982-83,1985
Women
7
Carla Ophorst (NED)
1997-98,2001,2004,2007-08,2011
Prize Money (ADR qualified runners)
Year Men Women Total 2012 $280 $95 $375 .... 2009 250 $250 2008 245 140 385 Sums $525 $485 $1,010
Race Time Bias (sec/km)
Year Men Women 2002 +1.1 n/c
Competitive Level (1990-date)
Year Men Women 2002 280 n/c .... 2000 138 n/c
Quality Performances
Men <44:00 1 <44:20 1 <44:40 2 <45:00 3 <45:20 8 <45:40 12 <46:00 14 Women <50:30 1 <51:00 1 <51:30 1 <52:00 1 <52:30 1 <53:00 2 <53:30 3 <54:00 3
Last Updated on 02 Aug 2016
Contributors: Paul Michiels (50), Klaas Loonstra (10), Juraj Gasparovic (22)


Inspired by the continuous length of the lunghi or sarong seen in hot climates everywhere from South Asia to the Horn of Africa and southern Arabian pen…
| Artisan Employment | 54 jobs |
| Partnership | Randall Armstrong |
| In Collab | Augusta Mendoza |
I have taste grilled meats around the world. Before i will guide you to the various technologies (gas barbecues, charcoal barbecues, Mongolian, sauces, recipes ) i will tell you about the Greek way.
Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry’s standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but also the leap into electronic typesetting, remaining essentially unchanged. It was popularised in the 1960s with the release of Letraset sheets containing Lorem Ipsum passages, and more recently with desktop publishing software like Aldus PageMaker including versions of Lorem Ipsum.
Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry’s standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but also the leap into electronic typesetting, remaining essentially unchanged. It was popularised in the 1960s with the release of Letraset sheets containing Lorem Ipsum passages, and more recently with desktop publishing software like Aldus PageMaker including versions of Lorem Ipsum.
Millions of Americans turn to Lasik Surgery when their vision is less than perfect and they’re tired of being tied down to wearing glasses or contacts. What part of the eye is it that may be causing all your vision trouble? Your cornea! When the shape of your cornea is irregular, the image on your retina is blurry and out-of-focus. The cornea is a part of your eye that works to focus light and projects an image on the retina. This focusing of light is called refraction. The 3 main types of refractive errors are myopia (nearsightedness), hyperopia (farsightedness) and astigmatism.


{{ define "main" }} Product Price Quantity Total Continue Shopping Check Out Summary Province/State Please Select a state Sub-Total PKR: Delivery Charges PKR: 0 Total Amount PKR: {{ end }}


VON RYAN'S EXPRESS A film review by Edwin Jahiel Copyright 1996 Edwin Jahiel
VON RYAN'S EXPRESS (1965) *** Very satisfactory W.W.II actioneer. Directed by Mark Robson. Produced by Saul David. Screenplay by Wendell Mayes and Joseph Landon, from a novel by David Westheimer. Photography, William Daniels.Editing, Dorothy Spencer. Art, Jack Martin Smith. Music, Jerry Goldsmith. Cast: Frank Sinatra, Trevor Howard, Sergio Fantoni, Raffaela Cara, Adolfo Celi, John Leyton, Vito Scotti, Edward Mulhare, James Brolin, Wolfgang Preiss. 118 min. Not rated.
In Italy, captured American Ryan (Sinatra), a temporary colonel, is put in an Italian POW camp for Britishers. After much stress, especially between Ryan and the top Brit, career officer Trevor Howard (who is outranked by the Yank), Ryan leads a mass escape that fails. The escapees are recaptured.
Then the Allies, in German uniforms (hence the "Von" in the film's title) take over a "Kriegsgefangenzug," which is one those wonderful German compound terms (a.k.a "railroad words").It means "a train of prisoners of war."
Chased by another train full of armed Germans, they try to reach Switzerland. The picture stretches belief and does become increasingly silly, but at the same time there is much suspense. It is good cliffhanger stuff, keeps mounting (along with the silliness) but also keeps grabbing you.
The tone, compared to that of many other movie in the same genre (or similar sub-genres) is more serious than jokey. Many a good man dies.
The film has only two big names of thespians, Sinatra and Howard, but amont the others are some really fine character actors like the Italian Adolfo Celi (who was a great the arch-villain, that same year,in the James Bond "Thunderball") or the German Wolfgang Preiss. The actors deliver most capable performances, in movie-movie style, of course.
Ryan-Sinatra is one of those fellows whom perhaps one might not trust too much in civilian life, but whose wiles and talents come in handy in the situations of this film.
"Von Ryan's Express" is not free from familiar elements, such as what you might call "the esthetic relief," here in the shape of a very pretty girl, the mistress of the German General. Yet she is also something of an anti-cliche. Instead of the deja vu character of a woman who pretends to go along with the Germans but helps the Allies, this lady betrays and is shot by Sinatra, while the watching Italians think that the Nazis killed her.
Interestingly, the movie was Academy Award nominated for its sound effects by Walter Rossi, the same man who some years before had won an Oscar in the same category for the first released movie scripted by Wendell Hayes,"The Enemy Below," an excellent W.W.II submarine picture.
Scenarist Wendell Mayes is less known than Mark Robson,the film's director, perhaps because over a 25-year period, he received credits "only" in 15 pictures.
My top choices among them would include "The Enemy Below," his next film "The Spirit of St. Louis" and two that he wrote for director Otto Preminger: "Anatomy of a Murder" (which had seven Oscar nominations, including one for Mayes's writing) and "Advise and Consent." (There was one another collaboration with Preminger too, the most watchable "In Harm's Way")
Also on this list I place the Ted Post-directed "Go Tell The Spartans," (1978) one of the best Vietnam War movies. A thorough re-evaluation of Wendell Mayes may well add more titles. (Edwin Jahiel)
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


One of the most common questions from voters on election day is “*where do I vote?*”.
Our polling station finder provides the answer via a simple postcode search.
See an example result.
We work with local government to establish internal best practice for publishing open data on polling stations —
which means it becomes incredibly easy for voters to find it. Voters don’t need to know which ward or
constituency they’re in or who manages their elections — we just get them the answer they’re searching for,
in seconds.
> Very clear, simple, comprehensive. It’s a wonderful voting tool and it definitely influenced positively my decision to vote. Thank you for providing such informative and easy-to-follow pre-voting platform.
The finder regularly receives over a million searches per election.
If you work at a council, find out how to send us data.
Find out how to
use the widget on your website or in an app.
{% endfilter %}
{% load post_tags %}
{% posts_for_tag "WDIV" %}
{% endblock main_content %}


{% load templatetag_handlebars %} {% tplhandlebars query_sharing_panel_public %}
This dataset is viewable by everyone. You can make the dataset private or share with other users if you want to add more viewing restrictions.


Django administration
Welcome,
<EMAIL_ADDRESS>.
View site
/
Change password
/
Log out
Home
›
Core
›
Users
›<EMAIL_ADDRESS>Authentication and A uthorization
Groups
Add
Core
Users
Add
Change user
History
Email:
Password:
algorithm
: pbkdf2_sha256
iterations
: 216000
salt
: 43yhde******
hash
: 8RK9WM**************************************
Raw passwords are not stored, so there is no way to see this user’s password, but you can chan ge the password using
this form
.
Personal Info
Name:
Permissions
Is active
Is staff
Superuser status
Designates that this user has all permissions without explicitly assigning them.
Important dates
Last login:
Date:
Time:
Delete


Twitter reacts to Rishabh Pant “converting” simple stumping into free-hit
by SportsCafe DeskRishabh Pant was already in the firing line for his performances behind the stumps and today, against Bangladesh, he provided the arsenal that would put nuclear bombs to shame. After collecting the ball in front of the stumps to cost Chahal a wicket, Twitter was in no mood to forgive him.
Post their win in the first T20I in Delhi, Bangladesh walked out in Rajkot a confident side. With Khaleel getting whacked for 24 runs in just two overs, Rohit Sharma decided to hand the final over of the powerplay to the ever-reliable Yuzvendra Chahal. And the RCB man started off well, conceding just two runs off as many deliveries. It got even better on the third ball of the over as Chahal left Liton Das gasping for air with a brilliant leg spinner. Or so India thought!
Pant appeared to do everything right. He collected the ball cleanly and whipped off the bails with Liton nowhere in the picture.  As the third umpire, Anil Chaudhary, decided to have a look at it, the replays showcased the blunder in high definition. Pant, instead of waiting for the ball to arrive, collected the ball in front of the stumps before taking off the bails.
Not only was Liton given not out, the Bangladesh opener was also awarded a free-hit which he smashed right back over Chahal’s head for a boundary to rub salt into India’s wounds. The Twitteratti were in no mood to forgive the youngster for the error and made their frustration well known.
This is what happened!
Dhoni and all the Indian fans!*
We know his worth only when he isn't playing!
Looks like it!
Sick burn!
Apt comparison!
And failed at it miserably!
Sanju is still on the bench BCCI, FYI!
And then there are mavericks like this guy...


---
layout: sub
sub_title: Staff Area
title: Policies
---
Staff members are expected to follow these policies and instructions.
Simply send mail to<EMAIL_ADDRESS>All staff will receive mail sent to<EMAIL_ADDRESS>How to host open shop:
- arrive on time to unlock.
- put out the sidewalk sign
- put out the steel sign in front of the garage
- at the end of open shop:
- lock up.
If you can't make your scheduled shift, please notify staff@ soon so we can
find somebody to cover.
Buying Things
If you have identified a need for a bike tool, promotional material, etc.,
follow these instructions:
- Send an email to staff@ stating your request.
- Use your best judgement to determine consensus.
- Make the purchase, and keep the receipt.
- Contact Luis for reimbursement.
Organizing Events
Events increase popularity and, indirectly, membership. They facilitate
interaction between members of the local cycling community. Generally, there
are two types of events: social events and workshops. If you are trying to
organize an SBK event, see instructions below:
- Pick a day(s). Generally:
- Monday nights are reserved for folk music
- Last Wednesday nights the downstairs area is reserved for cryptoparty
- Saturdays from 13:00-17:30 the upstairs area is reserved for BOSLAB
- 4th Tuesday of the month from 18:30-21:30 the upstairs area is reserved for BOSLAB
- Notify Shaunalynn (part of the Sprout team) to make sure that there will be
no schedule conflicts. Provide the date and time that we are planning to
hold the event. E-mail
shaunalynn _at_ thesprouts (dot) org
- Write short descriptions (short paragraph) for each session/day of the event.
- [optional] Create a flyer for the event. For help, contact Yurij, Luis, and Troy.
EXAMPLE FLYER
- Add the event to the SBK website. Make a new event page for each
session/day of the event.
INSTRUCTIONS.
Contact Troy for help.
- Send an announcement e-mail to the discuss@ mailing list.
Aggregate the descriptions for all sessions/days of the event and send one
e-mail. Touch on the following topics: introduction, rationale, sessions,
rsvp request (usually informal), admission fee (usually free with suggested
donation of $10), and any help needed from the community (e.g. we may need
to borrow tools). Remember to attach the flyer, if there is one.
- [optional] Re-send the announcement e-mail to other mailing lists and
internet communities as you see fit (do not include multiple lists
in the same e-mail). Use your best judgement to determine which additional
mailing lists will find this event relevant.
- bcn _at_ lists (dot) bostoncoop (dot) net -
post to the Boston Coop Network mailing list if it is a social event
(such as bike-in movie).
- bostonareafamilybike _at_ googlegroups (dot) com -
post to the Boston Area Family Bikes mailing list if it is a social
event (such as bike-in movie).
- discuss _at_ artisansasylum (dot) com -
post to the Artisans Asylum mailing list for events that makerspace and
hacker folk may find interesting.
- [optional] For social events, notify the Somerville Bicycle
Committee about the event so they can put it on their public calendar
and distribute the event notification to all Somerville cyclists.
- [optional] Create a Facebook event. Remember to attach the flyer, if there
is one. Contact Val for help.
- [optional] Create a twitter post. Remember to attach the flyer, if there
is one. Contact Jenny for help (search your inbox for Jenny's e-mail
address).
- If it will be a large, long-running social event (e.g. movie night), be
sure to notify the neighbors of Sprout. Employ the rest of SBK staff to
help. Finish this at least one day before the event!
Trash
Trash pickup is on Tuesday morning, so large trash items need to be taken out
on Monday.


- name - Variable in class com.github.mathiewz.slick.ibxm.Instrument
-
- name - Variable in class com.github.mathiewz.slick.ibxm.Sample
-
- name - Variable in class com.github.mathiewz.slick.particles.ConfigurableEmitter
-
The name attribute
- name - Variable in class com.github.mathiewz.slick.tiled.Layer
-
The name of this layer - read from the XML
- name - Variable in class com.github.mathiewz.slick.tiled.TileSet
-
The name of the tile set
- NavMesh - Class in com.github.mathiewz.slick.util.pathfinding.navmesh
-
A nav-mesh is a set of shapes that describe the navigation of a map.
- NavMesh() - Constructor for class com.github.mathiewz.slick.util.pathfinding.navmesh.NavMesh
-
Create a new empty mesh
- NavMesh(ArrayList<Space>) - Constructor for class com.github.mathiewz.slick.util.pathfinding.navmesh.NavMesh
-
Create a new mesh with a set of spaces
- NavMeshBuilder - Class in com.github.mathiewz.slick.util.pathfinding.navmesh
-
The builder responsible for converting a tile based map into
a navigation mesh
- NavMeshBuilder() - Constructor for class com.github.mathiewz.slick.util.pathfinding.navmesh.NavMeshBuilder
-
- NavPath - Class in com.github.mathiewz.slick.util.pathfinding.navmesh
-
A path across a navigation mesh
- NavPath() - Constructor for class com.github.mathiewz.slick.util.pathfinding.navmesh.NavPath
-
Create a new path
- NeatTriangulator - Class in com.github.mathiewz.slick.geom
-
A second triangulator that seems slightly more robust
- NeatTriangulator() - Constructor for class com.github.mathiewz.slick.geom.NeatTriangulator
-
Create a new triangulator
- negate() - Method in class com.github.mathiewz.slick.geom.Vector2f
-
Negate this vector
- negateLocal() - Method in class com.github.mathiewz.slick.geom.Vector2f
-
Negate this vector without creating a new copy
- next_note(int, int[]) - Method in class com.github.mathiewz.slick.ibxm.Pattern
-
- next_tick(int, boolean) - Method in class com.github.mathiewz.slick.ibxm.Envelope
-
- NONE - Static variable in class com.github.mathiewz.slick.opengl.renderer.VAOGLRenderer
-
Indicates there is no current geometry buffer
- NONE - Static variable in class com.github.mathiewz.slick.svg.NonGeometricData
-
Value indicating that no settings has been specified
- NonGeometricData - Class in com.github.mathiewz.slick.svg
-
A set of data about a shape that doesn't fit into it's geometric
configuration.
- NonGeometricData(String) - Constructor for class com.github.mathiewz.slick.svg.NonGeometricData
-
Create a set of non-geometric data for a figure
- normalise() - Method in class com.github.mathiewz.slick.geom.Vector2f
-
Normalise the vector
- NullAudio - Class in com.github.mathiewz.slick.openal
-
A null implementation used to provide an object reference when sound
has failed.
- NullAudio() - Constructor for class com.github.mathiewz.slick.openal.NullAudio
-
- NUM_KERNELS - Static variable in class com.github.mathiewz.slick.font.effects.ShadowEffect
-
The number of kernels to apply
- num_rows - Variable in class com.github.mathiewz.slick.ibxm.Pattern
-


Match object help
The ETS match_object functionality finds entries in the selected table that matches against a match_pattern
Some notes on matching
-
When matching on maps, be sure to include all the map keys. Consider the follow entry.
{123456, "johndoe_user1", #{ name => "john", surname => "doe", telephone =><PHONE_NUMBER>0 }}]
use the '_' wildcard for not matching on, and specify a match for the telephone value
{123456, '_', #{ name => '_', surname => '_', telephone =><PHONE_NUMBER>0 }}
in this example it will only match on entries with a map that has one key ( telephone ) set, so it won't return the entry mentioned above.
{123456, '_', #{ telephone =><PHONE_NUMBER>0 }}
Simple example
Lets create our table
1> ets:new(example_table, [public, named_table, ordered_set]).
example_table
2>
public, so that anyone can read/write to it, named_table is for accessing it by name and ordered_set is a fancy way of saying the table key/index is ordered, and has no duplicates.
Then insert some entries
2> [ ets:insert(example_table, {Id, Id rem 2 == 0}) || Id <- lists:seq(1, 10) ].
[true,true,true,true,true,true,true,true,true,true]
3>
rem 2 == 0
is a simple check whether the key is odd/even, for visual aid in querying.
fetching all would result in
{1,false}
{2,true}
{3,false}
{4,true}
{5,false}
{6,true}
{7,false}
{8,true}
{9,false}
{10,true}
So let's find all entries that had a even key, enter the follow into the match_object textbox
{'_', true}
So the match_object on the match_spec above will result with the entries below
{2,true}
{4,true}
{6,true}
{8,true}
{10,true}
That was a simple match_object
A Erlang Record entry example
Lets create our table
1> ets:new(record_table, [named_table, public, set, {keypos, 2}]).
record_table
2>
public, so that anyone can read/write to it, named_table is for accessing it by name and set will be used, so no duplicates. {keypos, 2} specifies that value 2 of the tuple will be used as the key/index, and that's normally the first value of a Erlang record.
{example_record, 1, false} = #example_record{ col1 = 1, is_even = false }.
Then insert some entries
2> [ ets:insert(record_table, #example_record{ col1 = Id, is_even = Id rem 2 == 0 }) || Id <- lists:seq(1, 10) ].
[true,true,true,true,true,true,true,true,true,true]
3>
fetching all would result in ( take note, the entries are not ordered )
{example_record,5,false}
{example_record,2,true}
{example_record,6,true}
{example_record,4,true}
{example_record,9,false}
{example_record,10,true}
{example_record,3,false}
{example_record,7,false}
{example_record,1,false}
{example_record,8,true}
So let's find all entries that had a even key with in the match_object textbox
{'_', true}
So the match_object on the match_spec above will result with the entries below
{example_record,8,true}
{example_record,10,true}
{example_record,4,true}
{example_record,6,true}
{example_record,2,true}
That was a match_object on tables with Erlang records as entries


Review of Class 6
Geoprocessing | GIS Analysis
Class 7
Mapping Vulnerability
FEMA hazards prioritizing process
FEMA vulnerability prioritizing process
Vulnerability index calculations via field calculator
Two important considerations for vulnerability criteria:
What scale is appropriate for the given hazard?
How is the vulnerable population typified; who exactly is vulnerable?
Class 6 Lab
Overview...


We're sorry, but there is no accounter.com web page matching your entry. It is possible that you typed the address incorrectly, or that the page no longer exists.
Page not found
We're sorry, but there is no accounter.com web page matching your entry. It is possible that you typed the address incorrectly, or that the page no longer exists.


About MeMy name is Shoshard Price, I'm 22 year old Full-Stack Developer in Memphis, TN. Starting LineI was born and raised in Memphis,TN. I first starting coding in high school and even programmed for the robotics club on my senior year. My overall endgame is to make video games with the skills I'm best suited for and the ability to keep grow as a developer. Over the course of be in Code Crew and using and talking other sources, it has help develop the necessary skills I needed in order to become a better and adaptive developer. |


What No One Tells You: The Emotional Strain of Startup Life
Listen and subscribe to this podcast via Apple Podcasts | Google Podcasts | RSS
We hear the stories of successful Silicon Valley startups all the time. But entrepreneurship can also have a dark side, especially when it involves going broke, losing sleep, and working 100-hour weeks.
This week, host Morra Aarons-Mele speaks with Emma Mcilroy, CEO of Wildfang International, who has been outspoken about the emotional strain of startup life.
HBR Presents is a network of podcasts curated by HBR editors, bringing you the best business ideas from the leading minds in management. The views and opinions expressed are solely those of the authors and do not necessarily reflect the official policy or position of Harvard Business Review or its affiliates.


Samsung Galaxy S10 series gets a new beta build with tons of bug fixes
by SagarSamsung rolled out a beta update for the Galaxy S10 a couple of days to iron out bugs related to Bluetooth tethering, volume control bar, and status bar. Today, the company released a new beta build for the S10 lineup with over a dozen bug fixes.
The new firmware fixes issues related to device reset, always-on display, file moving, Wi-Fi hanging, and Bluetooth headset noise. You can check out the screenshot below for the complete list of bug fixes.
This update weighs between 130MB and 200MB in size and is currently seeding to the unlocked units in the US and in South Korea, bearing version number G97*U1UEU2ZSKL and G97*NKSU3ZSKL, respectively.
If you are enrolled in the beta program, you can download this build by heading to the Settings > Software update menu on your device.