Virtual Assist
I designed Virtual Assist, which enables repair facilities and customers to video chat with their insurance companies.
Product Designer Allstate
Executive Summary
I was the lead product designer on Virtual Assist, a product which connects repair facilities and consumers with their insurance companies through video chat. Like many insurance companies, Allstate has a complicated claims process; when customers file an auto or property claim, insurance companies will inspect the car or house and estimate the cost of repair. Estimating is a large part of many of these companies’ claims processes, and it largely occurs by sending a company employee to physically visit the damaged asset.
Estimating is a labor-intensive, time-consuming, and expensive process for these insurance companies, and a painful experience for their customers who have to wait or experience multiple visits by estimators. Virtual Assist was Allstate’s experimental solution to these problems, by providing a virtual way to estimate assets.
I was the product designer chosen to work on this product, due to being full-stack - having research, testing, UX/UI design, and front-end skills. I became a manager and senior product designer based on the success of this product.
Major Outcomes
Virtual Assist took 6 months of design and development to push an MVP to production. The MVP consisted of a native iOS app (for repair facilities) and a desktop web app (for Allstate employees to answer calls). When it was first released, only a few repair facilities in the state of Illinois were calling in to two Allstate employees. After a year in production and constant iteration, Virtual Assist had more than 11,000 repair facilities calling in to hundreds of Allstate employees.
The product was later expanded to include a native Android app and mobile React/Java web app. Allstate’s old estimating process took, on average, a full week to complete. Using Virtual Assist, the estimating process takes an average of 45 minutes to complete. Based on its successful results, Allstate restructured its location and hiring process around Virtual Assist, opening 6 operating
Other Outcomes
- 6 operating centers were opened nationwide to handle VA calls, changing a major part of Allstate’s strategy
Problem Space
The insurance industry’s current claims process is marked by long cycle time, high operational cost, and poor customer experience.
One of its largest problems lies within the estimating sub-process: the estimated cost of repair to a customer’s car or property needs to be approved by an insurance company. This approval often takes a week, in which a paid adjuster is sent to visit the damaged car or property in-person. While a car is being fixed at a repair facility, auto adjusters may have to visit a damaged car multiple times in-person to approve any supplemental estimates (additional estimates submitted by the repair facility after the first, or initial estimate).
Over the course of several years, Allstate had tried to explore experimental solutions to this problem - many worked in some aspect (better experience) but failed in another (lowering operational cost). I was part of the product team to explore a more technical solution to the problem.
Discovery and Research
Allstate had an idea that they wanted to focus on solving auto estimating first, with the solution being tech-based.
An Agile XP product team was created, with one product manager, eight developers, and one product designer (myself). We were tasked to reduce the inefficiencies in the estimating process by the Allstate business.
However, the team didn’t feel confident in designing any solution until we understood the priority of the problems we were being asked to solve. We also wanted to validate low fidelity solutions with real users before we invested in development.
From a business perspective, auto and property were the two major areas where the estimating process took place, so we interviewed both Allstate auto and property adjusters.
We chose to focus heavily on auto for MVP. Auto far outweighed property in terms of its volume of estimates and operational cost. To identify and validate problems in the auto space, myself and the team conducted exploratory research with auto repair facilities (focusing on owners and mechanics), Allstate adjusters, and subject matter experts. I combined user interviews and contextual inquiries in order to identify user problems.
A Complex System
Repair facilities and insurance companies share a complex relationship which is rarely surfaced to the customers who bring their cars in. There are several different types of auto estimates (initial, supplemental, total loss, full) and different types of shops (MSO, mom-and-pop, DRP). Each type of repair facility and estimate interacts and affects this relationship.
I visited 25+ repair facilities and interviewed 10+ auto adjusters over the course of the product’s one year development to document this process. I surfaced frustrations from each side while gaining context in this highly specialized space. This information helped identify different user groups’ pains, prioritize the team’s backlog, and validate/invalidate business requirements and assumptions.
The team and myself took turns visiting facilities to record the sounds, locations, network connections, and lighting of multiple repair facilities. We wanted to understand if there were risks to relying on something like photo, video, or wi-fi in our eventual solution. An MSO (multi-shop organization) facility might be outfitted with tablets and well-lit open floors, while local shops might have cramped, poorly-lit, and loud spaces.
Design Ideation
Two major problems from both sides (Allstate and repair facilities) stood out to the team. The same problem appeared on both sides: both Allstate and repair facilities felt that the process was painfully long and costly. Both parties felt that this negatively impacted their business and relationships with their customers.
While the problem seemed simple (high inefficiency), the solution was far from simple. It was limited by many key facts discovered during the research phase.
Adjusters and repair facility employees are highly skilled workers, who gain the majority of their skills through on-the-field work. Many adjusters stay in their career for up to twenty years. While mechanics are as skilled as adjusters, they aren’t perfectly matched in skillset. Shop owners and mechanics are more focused on actually repairing the vehicle. Adjusters need specific information that only applies to insurance. They need to know specific facts about the car and need to visually inspect many aspects of it that the mechanic does not know how to anticipate.
Unless the damage is extremely minor, adjusters are rarely able to produce an accurate estimate by just looking at photos of the damaged car. Even if the photos of the car’s exterior are taken perfectly, the adjusters are missing half of the information they need to estimate - they need to see the damage underneath the exterior.
There are also different types of auto adjusters. A specialized adjuster might be one who knows how to estimate motorcycles, is familiar with exotic cars, or understands how to repair for uncommon materials (such as aluminum exteriors).
The team ideated, tested, and iterated on a variety of different ideas that could solve these problems while accounting for these limitations.
We decided that MVP would focus on the relationship between repair facilities, mitigation vendors (the equivalent of repair facilities in property), and Allstate. The first feature set would be based on the fact that repair facilities would place a video call, which would be answered by an on-demand adjuster.
UX/UI Design and User Testing
The app’s design and feature set iterated together several times, based on changing requirements and user testing.
The first iteration was extremely simple, using Allstate branding and a linear flow to let users place a video call. It was a team decision from all three disciplines to keep the feature set and flow extremely minimal until we understood how users would respond to it.
I later designed the Android mobile app and mobile web app (for consumers) with the same feature set, which was released while the team refactored the desktop and iOS application.
The later iterations included a more advanced onboarding process, which walked repair facilities and mitigation vendors through inputting their information. This information would be saved when the user returned to the app, helping connect their call to the correct adjuster. In previous iterations, user information was not saved, which I surfaced as a user pain to prioritize in our backlog.
Allstate colors and logos were removed in order to white-label the product and sell it as a service to others. Other companies, from repair facilities to other insurance companies, had expressed interest in using the app for themselves.
User testing was crucial to my design process. New features were prototyped and tested before being developed. I consistently tested our UAT environments before features were pushed into production, and I observed our app in production in the actual context of use after major releases.
One of the most challenging aspects of the product’s design was balancing design debt with immediate user value. As a team, we had chosen to focus on designing for the user and business problems which we could solve in the next few months - not the next year. This mindset, while it drove the product’s success, also lent itself heavily to design debt. User testing was able to inform when and why we should focus on long-term or short-term solutioning; as the product was iteratively designed and then released, I conducted regular user observations and user tests over the course of six months. Whenever I brought back poor usability as a finding of testing/observation for a short-term solution, the team knew a longer-term solution was the better path.
Front-End Development and Product Strategy
Front-End Development: I regularly paired with the XP full-stack developers to understand technical limitations and unblock front-end stories, while coaching them in SASS and CSS. Understanding the basics of our codebase helped me prioritize the backlog when I paired with the PM, as well as identify design bugs in the production software. By pairing with the devs regularly, I was able to initiate other XP product teams to move towards using CSS compilers, recommending SASS as the industry standard.
Product Strategy: I became the representative for product design in the claims space, regularly demoing the product to stakeholders and potential clients with the PM and dev anchor. I became an architect for Virtual Assist’s future, which transitioned into architecting the claims space’s overall strategy. I was also a facilitator of the difficult discussions of its future (re-inceptions, scopings, iteration decisions, and kickoffs), where I recommended evolving our approach to user research to become more quantitative.
Next Steps
I was rolled off the team to spearhead the Photo Intake effort. When I rolled off, I identified the following next steps for the product and its design:
(1) Solidify consistency in the design system used across the Virtual Assist applications
(2) Establish unmoderated user testing and product analytics as an important driver of future designs
(3) Increase the marketability of the app through improvements in its visual design and feature set (push notifications)
(4) Abstract functionality to consume other virtual inspection methods and help other claims processes which have not been modernized


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| Name | Cohort | Assignment | Effort | |
|---|---|---|---|---|
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We're probably waiting on the contracts person to get back from vacation ... (no assignments found)!


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The key=value pair string is case insensitive and will be converted to lower case.


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Upon your arrival at Kilimanjaro airport, our representative will meet you and drive you to your hotel for a first evening in Tanzania. Arusha is a major international diplomatic hub. The city hosts and is regarded as the de facto capital of the East African Community. Arusha is surrounded by some of Africa's most famous landscapes and national parks. Situated below Mount Meru on the eastern edge of the eastern branch of the Great Rift Valley, it has a mild climate
Night at Planet Lodge on a Half Board basis
Early morning you will be picked up from your hotel and drive to Tarangire National Park for a full day of game viewing and photographing. Named after the river that flows through the park, Tarangire National Park is one of the lesser known Tanzanian National Parks, giving it a real air of undiscovered Africa.
Famous for its tree climbing pythons, massive baobabs and large herds of elephant, Tarangire National Park is small but still home to a significant wildlife population, with a density of wildlife matched only by Ngorongoro. Birding is particularly good here; the swamps, tinged green year round, are the focus for 550 bird varieties; the most breeding species in one habitat
Today is committed to a full day game drive Tours in Tarangire National Park. Imagine hundreds of zebra stripes reflecting in still waters. Imagine the looming silhouette of elephants burnt into the crimson sunset. Imagine the sight of ghostly baobab trees scattered across shimmering grasslands. These features are not figments of imagination – these features are just a taste of what Tarangire is all about!
The most spectacular feature of Tarangire is that it serves as a place of refuge for the largest elephant population in northern Tanzania.Elephant viewing in Tarangire is outstanding and it is likely that you will see hundreds of elephants in a single day. Set against stunning scenery, elephant viewing will undoubtedly prove to be one of the biggest highlights for a Tours in Tarangire. Tarangire is an incredible park that will reserve a special place in your heart and memories. Rest assured - no matter what time of year you choose to visit Tarangire, you’ll certainly be glad you did!
Night at Tarangire Simba Lodge
After breakfast you will leave the camp/lodge for a game drive Tours to one of the most scenic experiences you will ever have. You will drive through the Ngorongoro Conservation Area with beautiful views of the highlands. Along the way you will stop at the Crater viewing point for a glance of the World famous Ngorongoro Crater. You will then drive past the Ngorongoro highlands, through the Nabii gate and onto the Serengeti plains.
Serengeti National Park quite simply offers the finest game viewing anywhere in Africa. Unrivaled concentrations of wildlife, stunningly beautiful landscapes and vast pristine areas make Serengeti National Park our pick for the best national park in the whole of Africa.As well as the migration of ungulates, the Serengeti National Park is well known for its healthy stock of other resident wildlife, particularly the "Big Five", named for the five most prized trophies taken by hunters (lion, leopard, elephant, black rhinoceros & buffalo), the park also supports many further species, including cheetah, Thomson's and Grant's gazelle, topi, eland, waterbuck, hyena, baboon, impala, African wild dog and giraffe. The park also boasts about 500 bird species, including ostrich, secretary bird, Kori bustard, crowned crane, marabou stork, martial eagle, lovebirds and many species of vultures.
You will stop for a picnic lunch along the way before proceeding with your game game drive Tours arriving at your camp/ lodge for dinner and overnight.
Night at Kati Kati tented Camp
After breakfast, leave your Camp heading towards Central Serengeti. The central Serengeti is home to the beautiful Seronera valley. Several perennial rivers run through this valley enabling many resident animals to thrive year round. The combination of location and resident prey attracts the largest populations of predators in Africa. It is this amazing abundance and diversity of easily-seen large predators that attracts thousands of visitors and hundreds of researchers to the Seronera river valley each year. There is simply no better place in Africa to observe these large carnivores and since many are resident, excellent encounters are available year round regardless of the season or where the great migratory herds are located. It is not unusual to see all four large predators (lion, hyena, leopard and cheetah) during the course of a day in the central Serengeti.
As well as the migration of ungulates, the Serengeti National Park is well known for its healthy stock of other resident wildlife, particularly the "Big Five", named for the five most prized trophies taken by hunters (lion, leopard, elephant, black rhinoceros & buffalo), the park also supports many further species, including cheetah, Thomson's and Grant's gazelle, topi, eland, waterbuck, hyena, baboon, impala, African wild dog and giraffe. The park also boasts about 500 bird species, including ostrich, secretary bird, Kori bustard, crowned crane, marabou stork, martial eagle, lovebirds and many species of vultures.
Night at Kati Kati tented Camp
After breakfast, you will leave the camp/lodge for a morning game drive in the Serengeti plains with a picnic lunch. You will enjoy a morning of game viewing and photographing. There is simply no better place in Africa to observe the large carnivores and since many are resident, excellent encounters are available year round regardless of the season or where the great migratory herds are located. It is not unusual to see all four large predators (lion, hyena, leopard and cheetah) during the course of a day in the central Serengeti.
In the afternoon we will leave the endless plains of Serengeti driving towards the Ngorongoro highlands.  The views at the rim of Ngorongoro Crater are sensational.
After some onroute game drive, at the end of the day you will be driven to your Lodge or camp location arriving in time to enjoy the beautiful sunset, dinner and overnight will be at the lodge.
Night at Ngorongoro Sopa Lodge on a Full Board Basis
Today, you will visit the Ngorongoro crater, the main feature is a large, unbroken, unfolded volcanic caldera. The crater, which formed when a giant volcano exploded and collapsed on itself some two to three million years ago, is 610m (2,000 ft.) deep and its floor covers 260 km² (100 sq. mi). The crater floor is mostly open grassland with two small wooded areas dominated by Acacia xanthophloea.
Game drives through the Ngorongoro Crater begin early in the morning in closed Tours vehicles with pop – up roofs. Accompanied by an expert driver guide, a magnificent experience is sure to be had! The descent into the crater is one of scenic beauty, as you make your way through lush forests, home to numerous elephants and buffalo. As you reach the inside of the Ngorongoro Crater, marvelling at the incredible landscape around you, your guide will take you through the grassy crater floor, the unbelievable fever tree forest, the banks of Lake Magadi and the surrounding marshes. Lunch is served picnic style, surrounded by the natural wonders around you as well as the exceptional wildlife, roaming freely, with which you share this extraordinary paradise.
Night at Kudu Lodge & Camp Karatu
Today, we will explore the beautiful and diverse Lake Manyara National Park. Stretching for 50km along the base of the rusty-gold 600-metre high Rift Valley escarpment, Lake Manyara is a scenic gem, with a setting extolled by Ernest Hemingway as “the loveliest I had seen in Africa”. From the entrance gate, the road winds through an expanse of lush jungle-like groundwater forest where hundred-strong baboon troops lounge nonchalantly along the roadside, blue monkeys scamper nimbly between the ancient mahogany trees, dainty bushbuck tread warily through the shadows, and outsized forest hornbills honk cacophonously in the high canopy. Manyara provides the perfect introduction to Tanzania’s birdlife. More than 400 species have been recorded, and even a first-time visitor to Africa might reasonably expect to observe 100 of these in one day. Highlights include thousands of pink-hued flamingos on their perpetual migration, as well as other large waterbirds such as pelicans, cormorants and storks.
Early noon you will exit the park and drive back to Arusha arriving at the Kilimanjaro Airport where you will board your late afternoon flight out.
Afri-raha Tanzania Tour Wishes you a nice flight back home


Bubblegum 900
--bubblegum-900
--- title: Colors description: The set of colors used in Zirconium. layout: page permalink: overview/colors author: teacherbuknoy publish_date: '2021-07-19' subdirectory: '01. Overview' cover: color.jpg breadcrumbs: [Overview, Colors] ---
Most of the colors used by Zirconium comes from the elementary OS color palette. This is to reduce time in formulating and testing colors that work for aesthetics, usability, and accessibility. The following diagrams will show the colors used throughout Zirconium.
Zirconium uses a shade of pink called Bubblegum for most of its primary
controls. The hue of this color comes from the
elementary OS color palette,
while the saturation and lightness were customized to fit Antares
Programming's needs. Use Bubblegum for most commonly used actions, like links
or buttons. Use the class primary
to override elements and
components with this color.
--bubblegum-900
--bubblegum-700
--bubblegum-500
--bubblegum-300
--bubblegum-100
Zirconium uses a shade of blue called Blueberry for most of its primary
controls. The hue of this color comes from the
elementary OS color palette,
while the saturation and lightness were customized to fit Antares
Programming's needs. Use Blueberry only for actions that need the user's
utmost attention without it bringing a sense of warning or error.
Use it sparingly. Use the class accent
to
override elements and components with this color.
--blueberry-900
--blueberry-700
--blueberry-500
--blueberry-300
--blueberry-100
Zirconium uses the patterns set by Hudl Uniform guidelines for content colors. We use a scale of contrast, default, subtle, and non-essential text colors.
Contrast: fully opaque, it differs the most from its background. Use
it for more important or dominant elements. Use the class
contrast-text
to override elements with this color.
Default: this is the starting point for content colors. If you’re not
sure which to use, default is the answer. Use the class
default-text
to override elements with this color.
Subtle: use this for supporting elements. Use the class
subtle-text
to override elements with this color.
Non-essential: provides the least contrast of our content colors and
does not pass accessibility standards. Use it only for additional supportive
elements. Nonessential should never be used for important
information. Use the class non-essential-text
to override
elements with this color.
Zirconium also follows the Hudl Uniform guidelines for background colors. We use a system of level 0 to level 3 colors. This is also true for dark mode
.level-0-bg
.level-1-bg
.level-2-bg
.level-3-bg
.level-0-bg
.level-1-bg
.level-2-bg
.level-3-bg
One of the goals of Zirconium is to support dark mode by default. This is
achieved by providing custom styling using the
prefers-color-scheme: dark
media query.
Although Zirconium does not make dark or light theme available on demand (perhaps via a switch control that some websites use), Zirconium responds to your device's system setting on whether to use dark mode or not.


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2013 Ramadan Quran Contest
Sponsored by An-Noor Qur'an Academy
The Qur'an contest goal is to encourage all Muslims to learn and memorize Quran using proper rules of tajweed and to make the speech of Allah swt near and dear to their heart.
We have six beginner levels (B1 through B6), six intermediate levels (I1 through I6), four advanced levels (A1 through A4), five very advanced levels (VA1 through VA5) and one Huffadh level (HA1). The purpose is to recognize and encourage participation at various levels of memorization and familiarity with tajweed.
Each level will have first, second and third place awards. The awards range from $300 to $25 depending upon the level.
Please donate generously to support the Qur'an contest. Checks should be made to IAR with "Qur'an Contest" in the memo.
Ramadan Qur'an Contest Rules
- A contestant can register in only one level
- Candidates who did not register before the deadline will not qualify to win the contest regardless of their performance
- Registration form can be filled online only. The registration deadline is August 26th, 2013.
- The registration fee is $15.00 (nonrefundable) per contestant. The registration fee should be paid on the day of contest to cover cost of organizing the contest. The fees are not used for the financial awards given to the first, second and third place winners.
- An-Noor Quran Academy students can only apply in the very advanced levels (VA) based on their teacher's recommendation, please make a note that this rule doesn't apply to the ones who just joined An-Noor Quran Academy
- If a contestant requires rescheduling of their test date due to personal hardship, there will be 20% deduction from their final score.
- Age is calculated as of August 26th 2013.
- Boys and girls will not be judged separately, there will be at least one female judge in all categories.
- Incorrect information on date of birth may disqualify the contestant.
- Younger contestants can compete in higher level according to their abilities.
- During testing, contestant may be asked to recite any part(s) of the Surahs that they have memorized including the bonus Surah.
- Grade of the bonus Surah would only be considered to break a tie.
- Performance is based on Memorization, Tarteel (rules of Tajweed) and Pronunciation.
- Following Grading criteria will be followed:
First Place 85% - 100% Second Place 70% - 84% Third Place 60% - 69% - Top scorers will get the first, second and third places i.e. all three contestants can achieve scores in the range of 85% - 100%
Quran Contest Schedule
| Application Deadline | August 26th 2013 |
| Late Registration | September 2nd 2013 with a late registration fee of $25 |
| Contest Dates | Will be the weekend of September 21 & 22 2013 |
| Qur'an Contest Award Ceremony | Will be announced later |
Every registered participant should have received the Quran Contest Schedule based on their selected category. Please send email to<EMAIL_ADDRESS>if you have any questions or have not yet received any email about the Quran Contest.
Contact
For more information or questions, please contact<EMAIL_ADDRESS>Levels
| Level | Age | Surahs | Bonus Surah | 1st Place | 2nd Place | 3rd Place |
| Beginners Level | ||||||
| B1 | 6 and under | Ash Shams [91] | Ad Duha [93] | $50 | $40 | $25 |
| B2 | 8 and under | Al Fajr [89] | Al Layl [92] | $50 | $40 | $25 |
| B3 | 10 and under | Al Qiyama [75] | An Naba [78] | $50 | $40 | $25 |
| B4 | 12 and under | Al Mulk [67] | Al Insan [76] | $50 | $40 | $25 |
| B5 | 13 and under | Al Fath [48] | Al Mumtahana [60] | $50 | $40 | $25 |
| B6 | All Ages | An Naml [27] | Muhammad [47] | $75 | $65 | $40 |
| Intermediate Level | ||||||
| I1 | 6 and under | Al Ghashia [88] to An Naas [114] | Al Aala [87] | $75 | $65 | $40 |
| I2 | 8 and under | Al Mutafifeen [83] to An Naas [114] | Al Infitar [82] | $75 | $65 | $40 |
| I3 | 10 and under | Al Haaqa [69] to An Naas [114] | Al Qalam [68] | $75 | $65 | $40 |
| I4 | 12 and under | At Tahreem [66] to An Naas [114] | At Talaaq [65] | $75 | $65 | $40 |
| I5 | 13 and under | Al Ahqaaf [46] to An Naas [114] | Al Jathiyah [45] | $75 | $65 | $40 |
| I6 | 14 and under | An Nahl [16] to An Naas [114] | Al Hijr [15] | $85 | $75 | $50 |
| Advanced Level | ||||||
| A1 | 8 and under | Al Mudathir [74] | Al Infitar [82] | $85 | $75 | $50 |
| A2 | 10 and under | Al Hashr [59] | Al Jinn [72] | $85 | $75 | $50 |
| A3 | 13 and under | Az Zukhruf [43] | An Najm [53] | $85 | $75 | $50 |
| A4 | All Ages | Al Anaam [6] | Al Kahf [18] | $100 | $85 | $65 |
| Very Advanced Level An-Noor Qur'an Academy Student |
||||||
| VA1 | 9 and under | Al Ahqaf [46] to An Naas [114]
(5 Juzz) |
Al Jathiya [45] | $100 | $85 | $65 |
| VA2 | 10 and under | Ya Seen [36] to An Naas [114]
(8 Juzz) |
Fatir [35] | $125 | $100 | $85 |
| VA3 | 11 and under | Al Room [30] to An Naas [114]
(10 Juzz) |
Al Ankaboot [29] | $150 | $125 | $100 |
| VA4 | 14 and under | Maryam [19] to An Naas [114]
(15 Juzz) |
Al Kahf [18] | $175 | $150 | $125 |
| VA5 | All Ages | Yunus [10] to An Naas [114]
(20 Juzz) |
At Tawbah [9] | $200 | $175 | $150 |
| Huffadh Level | ||||||
| HA1 | All Ages | Complete Qur'an | $300 | $250 | $200 |
Registration Form
The Quran Contest Registration has been closed, for more information or questions please contact quran-contest@islam1.org


Basic toolkit for analysing data with mumodo
analyis.py – analysis and plotting functions
Functions for analyis of streamframes, intervalframes and pointframes
Intersection of two interval frames
Return an IntervalFrame with the intersection of two intervalframes An intersection is defined as an AND function on the intervals of both sources (regardless of text). HINT: Input Intervalframes should be imported without empty intervals
Arguments: frame1,frame2 – IntervalFrames.
Keyword arguments:
Union of two interval frames
Return an IntervalFrame with the union of two intervalframes A union is defined as an OR function on the intervals of both sources (regardless of text). Optionally, the labels of overlapping intervals can be concatenated to create the labels of the new dataframe intervals. HINT: Input Intervalframes should be imported without empty intervals
Arguments: frame1,frame2 – IntervalFrames.
Return the negative of an interval frame
Return the inversion of an interval frame. An inversion is defined as a NOT function of the original interval frame. The labels of inverted intervals are by default a concatenation of the labels of surrounding intervals. Any other preferred label can be passed to the function. HINT: Input Intervalframes should be imported without empty intervals
Arguments: frame – IntervalFrame.
Creates an Intervalframe from a streamframe based on a condition.
Arguments:
streamFrame – The Streamframe that contains the data. column – The column to evaluate (function evaluates each
item of this column).
Keyword arguments: text – Text for the Intervalframe labels (default True).
Creates a streamframe from an intervalframe
Arguments: frame – The IntervalFrame that contains the data relative – If set to True, relative will make the
timestampfs that serve as index values relative to the frist timestamp
Create a sliced streamFrame.
Slice a streamframe’s index on the intervals of the intervalframe, regardless of the text. HINT: Intervalframe should not have empty intervals. The intervalframe gives the needed intervals from the ‘original’ streamframe, to be included in the new, sliced streamframe.
Arguments: streamFrame – The streamFrame that contains the data. intervalFrame – The intervalFrame that contains the intervals,
needed for the sliced streamFrame.
Create a temporal slice of an intervalframe
Slice an intervalframe, so that only intervals within the limits defined will be kept, regardless of the text labels
Arguments: intervalframe – the input intervalframe to be sliced start_time, end_time – define a time region
Keyword arguments: method – Defines how to deal with intervals that cross the
temporal boundaries. Possible values:‘truncate’ (default): Cut the intervals at the boundaries ‘include’: Include intervals crossing the boundaries ‘exclude’: Exclude intervals crossing the boundaries
Create a temporal slice of a pointframe
Slice a pointframe, so that only points within the limits defined will be kept, regardless of the text labels
Arguments: pointframe – the input pointframe to be sliced start_time, end_time – define a time region
Convert the times of a tier using a specified function
tier — a tier, either intervalframe or point tier
An IntervalFrame is a Pandas DataFrame that represents a Praat interval tier. The columns must be [‘start_time’, ‘end_time’, text’]. A PointTier is a Pandas DataFrame that represents a Praat point tier. The columns must be [‘time’, ‘mark’].
tierdict — a dictionary of tiers, either intervalframes or point tiers
An IntervalFrame is a Pandas DataFrame that represents a Praat interval tier. The columns must be [‘start_time’, ‘end_time’, text’]. A PointTier is a Pandas DataFrame that represents a Praat point tier. The columns must be [‘time’, ‘mark’].
Shift a tier by a specified time offset
tier — a tier, either an intervalframes or a point tier
An IntervalFrame is a Pandas DataFrame that represents a Praat interval tier. The columns must be [‘start_time’, ‘end_time’, text’]. A PointTier is a Pandas DataFrame that represents a Praat point tier. The columns must be [‘time’, ‘mark’].
offset – amount of time to shift the textgrid by in seconds. Can also be negative
Shift all tiers in a dictionary by a specified time offset
tierdict — a dictionary of tiers, either intervalframes or point tiers
An IntervalFrame is a Pandas DataFrame that represents a Praat interval tier. The columns must be [‘start_time’, ‘end_time’, text’]. A PointTier is a Pandas DataFrame that represents a Praat point tier. The columns must be [‘time’, ‘mark’]
offset – amount of time to shift the textgrid by in seconds. Can also be negative
Discover the type of a tier
A tier can be one of IntevalTier or PointTier. Discovery is based on the presence of a particular column ordering and naming.
For IntervalTiers (or IntervalFrames) the columns are [‘start_time’, ‘end_time’, ‘text’] in that order. The times are in seconds (and should be floats, but this is not strictly enforced)
For PointTiers (or PointFrames) the columns are [‘time’, ‘mark’], with the time again in seconds.
Both need to be instances of pandas.DataFrame
The function returns the string ‘interval’ or ‘point’, depending on the type of tier, or None if no conditions are satified
Get the minimum and maximum times of this tier
Returns a tuple (min, max) with the minimum and maximum times of the tier.
Join near-adjacent intervals with the same label
When (near) adjacent intervals in an intervalframe have the same label, they are concatenated into a single interval, starting at the start time of the first interval and ending at the end time of the adjacent interval
If more than two adjacent intervals have the same label, the function chains them all together (the end time of last interval in the chain will be the end time of the new, single interval)
WARNING: By default, this function does not check if the intervals are adjacent temporally. It only checks the labels. You can use the maximum_gap kwarg to add temporal constraints to the joining
Arguments:
kwargs:
Join near-adjacent intervals by time
When adjacent intervals in an intervalframe are close to each other, they are concatenated in to a single interval, starting at the start time of the first interval and ending at the end time of the adjacent interval.
If more than two adjacent intervals are near each other, the function chains them all together (the end time of last interval in the chain will be the end time of the new, single interval)
The closeness is defined by the minimum_gap kwarg. By default, only directly adjacent intervals (that share a boundary) are concatenated The labels of the concatenated intervals are also concatenated, separated by a configurable delimiter (by default a space).
Arguments:
kwargs:


--- layout: template menu : tutorial title : JMX tutorial ---
Easy Batch allows you to monitor batch execution and progress at runtime using JMX. By default, Easy Batch enables at startup a JMX MBean named org.easybatch.core.jmx:type=EasyBatchMonitorMBean
exposing the following attributes:
To monitor Easy Batch JMX MBean attributes, you can use any standard JMX compliant tool such as VisualVM.
The screenshot below shows an example of Easy Batch monitoring using VisualVM :
This tutorial is the same as the Hello World tutorial but with higher amount of input data and a slow processor for demonstration purpose.
In this tutorial, we will show how to use VisualVM to monitor the core engine execution progress in real time.
The complete source code of this tutorial can be found here.
To launch the core batch with maven, execute the following command in the easybatch-tutorials
directory :
mvn exec:java -PrunJmxTutorial
This will launch the core batch to process the greetings-jmx.csv
file containing about 100 lines which will take about 3 minutes to finish.
You should have enough time to launch VisualVM and monitor progress in real time.
Once you have launched the tutorial, open VisualVM, connect to the jvm process running your batch and navigate to the MBeans tab (if you don't see the MBeans tab, here is how to install the plugin).
As described in the screen shot above, navigate to the org.easybatch.core.jmx:type=EasyBatchMonitorMBean
MBean and you will be able to monitor the execution progress of the slow Hello World tutorial in real time.


What and Why ?
IPU Results is a
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results of many
ggsipu courses
in a simplest and fastest way.
The site updates within
few minutes of result
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IPU Results reached a new milestone!
11k+ users within just 8 months.
Thank You all for your love and support 🎉


On the Subject of Bob Barks
Bob, do I have all five stages right?
See Appendix A for indicator identification reference.
- This module contains four indicator labels with corresponding buttons.
- One of the four buttons will flash per stage.
- Each stage will also repeat the flashes from previous stages.
- The sequence will repeat after a short delay. Your input is not reset when this happens.
- Using the tables below, press the correct indicator button based on which indicator button was flashing.
- When a correct button is pressed, the indicator labels will disappear.
- If you press an incorrect button, the indicator labels will reappear, and your input is reset.
- The sequence will lengthen by one each time you correctly enter a sequence until the module is disarmed.
Use Table 1 for determining which indicator button should be pressed first, and Table 2 for determining which indicator buttons should be pressed in each subsequent stage. Use the rule from the first row in each table that applies.
Table 1
| If the flashing indicator is… | If the flashing button's position is… | |||
|---|---|---|---|---|
| Top-left | Top-right | Bottom-left | Bottom-right | |
| …present, is lit, named "BOB", and the labels "CAR" and "KEY" are also on the module: | You just won a BRAND NEW CAR! The correct button for every stage is the one with the label "CAR". Ignore all other rules. |
|||
| …present, is lit, and named "BOB": | TL | TR | BL | BR |
| …present, is lit, but not named "BOB": | BR | BL | TR | TL |
| …present, but is not lit: | TR | TL | BR | BL |
| …not present: | BL | BR | TL | TR |


While more and more semantic data is published on the Web, the question of how typical Web users can access this body of knowledge becomes of crucial importance. So far there are not many paradigms which would allow end users to profit from the expressive power of these standards while at the same time hiding the complexity behind an intuitive and easy-to-use interface. Important and promising research directed towards this goal is offered by search paradigms based on natural language question answering, which allow users to express arbitrarily complex information needs in an intuitive fashion. The essential problem lies in translating these information needs into a form such that they can be evaluated using standard Semantic Web query processing and inferencing techniques.
In recent years, there have been important advances in semantic search and question answering over RDF data. In parallel to these developments in the Semantic Web community, there has been substantial progress on question answering from textual data as well as in the area of natural language interfaces to databases. An important challenge for the Semantic Web, but also Natural Language Processing communities, is scaling question answering approaches to Linked Data. The main challenges involved herein are related to dealing with a heterogeneous, distributed and huge set of interlinked data.
Our goal is to bring together research and expertise in question answering from different communities, including NLP, HCI, Semantic Web and Databases. To facilitate the comparison between different approaches and systems, and to foster research in this area, the workshop is accompanied by an open challenge.


B-PER
I-PER
B-LOC
I-LOC
B-ORG
I-ORG
B-MISC
I-MISC
Business
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Entertainment
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General
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Health
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Science
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Sports
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Technology
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transfersh
An unofficial command-line client for transfer.sh.
More information: home page
- Upload a file to transfer.sh:
transfersh path/to/file
- Upload a file showing a progress bar (requires Python package `requests_toolbelt`):
transfersh --progress path/to/file
- Upload a file using a different file name:
transfersh --name filename path/to/file
- Upload a file to a custom transfer.sh server:
transfersh --servername upload.server.name path/to/file
- Upload all files from a directory recursively:
transfersh --recursive path/to/directory/
- Upload a specific directory as an uncompressed tar:
transfersh -rt path/to/directory


CSX Rail System Found Dangerous
A 60 percent increase in track-caused accidents over five years
on the 22,700-mile system prompted the agency to begin a two-week
systemwide track audit on Feb. 22, The Washington Post reported
Friday on its Internet site.
The review found many instances where the distance between the
rails had spread wide enough to risk derailments.
WASHINGTON (AP) -- The Federal Railroad Administration has found
potentially dangerous defects in many areas of the CSX
Transportation rail system used by passenger and commuter trains
all along the East Coast.


{% extends 'base.html' %} {% block title %} Payment recieved {% endblock title %} {% block body %}
Your payment has been recieved and now can enjoy the full browsing experience.


<<
Index for JsViews and JsRender
JsViews: Demos
Rendering and linking
Switch templates: Accordion
Recursive Tree View - {{for}}
Full declarative data-linking with
'observable'
editable data and arrays
Server-render then client-activate
Top-level data-linking
Form Elements
Todos sample app


:: com :: sun :: star :: linguistic2 ::
|
| interface XDictionaryEntry |
|
- Description
- This interfaces gives access to a dictionary entry.
A dictionary entry can supply a word and its hyhenation
and indicate if it is a negative word.
If it is a negative entry it may supply a replacement text to
be used instead of the entry word.
Hyphenation positions are represented by an '=' in the word.
If the '=' is the last character of the word this means it should not
be hyphenated. If there is no '=' charcter in the word, hyphenation
positions will be determined automatically (i.e., from the hyphenator
service alone).
Entries whose words only differ in hyphenation are considered
to be equal. Also a '.' at the end of the word will make no
difference.
- See also
- XDictionary, ::com::sun::star::uno::XInterface
|
| Methods' Details |
getDictionaryWord
| string |
| getDictionaryWord(); |
- Returns
- the word defining this entry.
|
|
isNegative
- Returns
- true if the word (entry) is a negative one and should not be
used, false otherwise.
|
|
getReplacementText
| string |
| getReplacementText(); |
- Description
- is the suggested replacement text for negative words.
It is undefined if the entry is not negative.
- Returns
- the replacement text for a negative entry.
An empty string indicates that no replacement text is provided.
|
|
Top of Page
Copyright © 2013, The Apache Software Foundation, Licensed under the Apache License, Version 2.0. Apache, the Apache feather logo, Apache OpenOffice and OpenOffice.org are trademarks of The Apache Software Foundation. Other names may be trademarks of their respective owners.


A Constraint object can be constructed with one of:
Constructors for constraints take many common parameters which are listed below
{
stiff : true,
frequency : 10,
damping : 1,
maxForce : Number.POSITIVE_INFINITY,
maxError : Number.POSITIVE_INFINITY,
removeOnBreak : true,
breakUnderForce : false,
breakUnderError : false,
ignoreInteractions : false,
sleeping : false,
disabled : false,
userData : null
}
Defines whether a positional constraint has its positional errors solved rigidly together with contact errors, or whether positional errors are resolved through mutations of the velocity constraint making the constraint elastic.
An elastic constraint is implemented in such a way that high frequency and damping will not cause the constraint to blow up.
This parameter has no effect on velocity-only constraints such as the MotorConstraint.
Default value is true.
Defines the frequency of the constraint’s elastic behavior when positional constraint is non-stiff.
This value must be strictly positive.
This parameter has no effect on velocity-only constraints such as the MotorConstraint, or when a position constraint is stiff.
Default value is 10.
Defines the damping of the constraint’s elastic behavior when positional constraint is non-stiff.
This value must be positive.
This parameter has no effect on velocity-only constraints such as the MotorConstraint, or when a position constraint is stiff.
Default value is 1.
Defines for non-stiff positional constraints, and for velocity-only constraints the maximum amount of force that may be used when solving errors in velocity.
This value must be positive.
When such a constraint has also breakUnderForce set to true. This value defines the limit at which the constraint will be broken.
Default value is Number.POSITIVE_INFINITY.
Defines for positional constraints, the maximum amount of error which will either be solved (For non-stiff constraints) per second, or the limit at which the constraint will be broken if breakUnderError is also true.
This parameter has no effect on velocity-only constraints such as the MotorConstraint.
This value must be positive.
Default value is Number.POSITIVE_INFINITY.
Defines behavior for when this constraint is broken.
When true, the constraint will be removed from the simulation World when broken.
When false, the constraint will remain in the world, but will become disabled.
Default value is true.
For non-stiff positional constraints, and velocity-only constraints this parameter defines whether upon reaching the maxForce parameter, the constraint will either limit the amount of force it uses, or be broken.
Default value is false.
For positional constraints, this parameter defines whether upon reaching the maxError parameter, the amount of error resolved will be clamped (For non-stiff constraints, otherwise ignored) or broken (Both stiff and non-stiff constraints).
Default value is false.
Defines whether the participating RigidBody objects used by this constraint will be permitted to interact (Whether as sensors, or colliders).
Default value is false.
Define if the constraint is to be created in a sleeping state. When added to a World object, the constraint will remain asleep until woken.
Default value is false.
Define whether the constraint will be created as already disabled.
Disabling a constraint permits it to remain inside of a World, but acting as though it is not, with no side effects beyond the constraint being present in the RigidBody object’s constraints list, and being removed when a related RigidBody is removed from the world.
Default value is false.
A field in which to store whatever data you may like.
Default value is null.
Summary
Configure common constraint parameters.
Syntax
constraint.configure({
stiff : true,
frequency : 10,
damping : 1,
maxForce : Number.POSITIVE_INFINITY,
maxError : Number.POSITIVE_INFINITY,
removeOnBreak : true,
breakUnderForce : false,
breakUnderError : false,
ignoreInteractions : false
});
All parameters of the object are optional, and leaving unspecified will leave said parameter untouched.
Summary
Manually wake this Constraint.
Waking a constraint manually is not generally required. It is only ever required to manually wake a constraint, if you manually put it to sleep or added it as a sleeping constraint.
Mutations to the constraint, and interactions with related rigid bodies in the world will otherwise automatically wake the constraint.
Syntax
constraint.wake();
Summary
Manually put this Constraint to sleep.
This constraint will be woken as soon as it is interacted with in a World, or is mutated in any way that would require it to wake up in normal circumstances.
Syntax
constraint.sleep();
Summary
Query whether this constraint is currently enabled.
Syntax
var enabled = constraint.isEnabled();
Summary
Query whether this constraint is currently disabled.
Syntax
var disabled = constraint.isDisabled();
Summary
Add a new event listener for this Constraint.
Syntax
var success = constraint.addEventListener(eventType, handler);
One of:
Function to be called when this event occurs (Noting that events as usual are deferred until the end of the world step()).
Function is called with no arguments, and with its this object as the Constraint to which the event relates.
This function will fail, and return false if the event type was not accepted, or if the handler already exists for the given event type.
Example:
function breakHandler() {
console.log("Constraint named: " + this.userData.name + "was broken :(");
}
constraint.userData = {
name : "Constraint no. 1"
};
constraint.addEventListener('break', breakHandler);
You may add as many handlers for a given event type as you wish, and handlers will be called in the same order in which they were added.
Summary
Remove existing event listener from this Constraint.
Syntax
var success = constraint.removeEventListener(eventType, handler);
This function will fail, and return false if the event type was not accepted, or if the handler was not found on the constraint for the given event type.
Summary
Query the impulse applied to the given RigidBody by this constraint in the previous simulation step.
The impulse returned is of 3 dimensions, the third equal to the angular impulse the constraint applied.
Syntax
var impulse = constraint.getImpulseForBody(body);
// or
constraint.getImpulseForBody(body, impulse);
Should the input body be unrelated to this constraint, the impulse returned will be [0, 0, 0]
Summary
Get local anchor point on first rigid body.
Syntax
var anchor = constraint.getAnchorA();
// or
constraint.getAnchorA(anchor);
Note
Available for constraint types: Point, Distance, Pulley, Weld, Line only.
Summary
Set the local anchor point on first rigid body.
Syntax
constraint.setAnchorA(anchor);
Note
Available for constraint types: Point, Distance, Pulley, Weld, Line only.
Summary
Get local anchor point on second rigid body.
Syntax
var anchor = constraint.getAnchorB();
// or
constraint.getAnchorB(anchor);
Note
Available for constraint types: Point, Distance, Pulley, Weld, Line only.
Summary
Set the local anchor point on second rigid body.
Syntax
constraint.setAnchorB(anchor);
Note
Available for constraint types: Point, Distance, Pulley, Weld, Line only.
Summary
Get local anchor point on third rigid body.
Syntax
var anchor = constraint.getAnchorC();
// or
constraint.getAnchorC(anchor);
Note
Available for constraint type Pulley only.
Summary
Set the local anchor point on third rigid body.
Syntax
constraint.setAnchorC(anchor);
Note
Available for constraint type Pulley only.
Summary
Get local anchor point on fourth rigid body.
Syntax
var anchor = constraint.getAnchorD();
// or
constraint.getAnchorD(anchor);
Note
Available for constraint type Pulley only.
Summary
Set the local anchor point on fourth rigid body.
Syntax
constraint.setAnchorD(anchor);
Note
Available for constraint type Pulley only.
Summary
Get local axis point on first rigid body for line direction.
Syntax
var axis = constraint.getAxis();
// or
constraint.getAxis(axis);
Note
Available for constraint type Line only.
Summary
Set local axis point on first rigid body for line direction.
Syntax
constraint.setAxis(axis);
Note
Available for constraint type Line only.
Summary
Query the lower bound for constraint.
Syntax
var lowerBound = constraint.getLowerBound();
Note
Available for constraint types: Distance, Angle, Line, Pulley only.
Summary
Set the lower bound on constraint.
Syntax
constraint.setLowerBound(lowerBound);
Note
Available for constraint types: Distance, Angle, Line, Pulley only.
Summary
Query the upper bound for constraint.,
Syntax
var upperBound = constraint.getUpperBound();
Note
Available for constraint types: Distance, Angle, Line, Pulley only.
Summary
Set the upper bound on constraint.
Syntax
constraint.setUpperBound(upperBound);
Note
Available for constraint types: Distance, Angle, Line, Pulley only.
Summary
Query the current ratio parameter on constraint.
Syntax
var ratio = constraint.getRatio();
Note
Available for constraint types: Angle, Motor, Pulley only.
Summary
Set the ratio parameter on constraint.
Syntax
constraint.setRatio(ratio);
Note
Available for constraint types: Angle, Motor, Pulley only.
Summary
Query the current motor rate parameter on constraint.
Syntax
var rate = constraint.getRate();
Note
Available for constraint type Motor only.
Summary
Set the motor rate parameter on constraint.
Syntax
constraint.setRate(rate);
Note
Available for constraint type Motor only.
Summary
Query the current angular phase parameter on constraint.
Syntax
var phase = constraint.getPhase();
Note
Available for constraint type Weld only.
Summary
Set the angular phase parameter on constraint.
Syntax
constraint.setPhase(phase);
Note
Available for constraint type Weld only.
A string identifying the type of this Constraint object, one of:
Note
Read Only
Summary
The current World object that this constraint is assigned to.
Note
Read Only
Summary
Whether this constraint object is currently sleeping in an ongoing simulation.
Note
Read Only
Summary
The first RigidBody associated with this constraint.
Note
Read Only. Not defined for constraint type Custom.
Summary
The second RigidBody associated with this constraint.
Note
Read Only. Not defined for constraint type Custom.
Summary
The third RigidBody associated with this constraint.
Note
Read Only. Defined only for constraint type Pulley.