Are you worried about your team morale? Would you like to do something about it and improve its productivity? You’re in luck!
In this article, we will explain how to identify the issues at the bottom of low team morale and how to turn the tide. Are you ready for some introspection?
Table of content:
- Team morale: definition
- Team morale: survey your team members to identify issues
- Improving your team morale in the long term
- Team morale boosters: best of
Team Morale: Definition
Happy is the new rich. The culture of happiness has invaded our lives, pressuring us to experience to the fullest our time on earth. But real-life included ups and downs, making an effort to reach one’s goal, bliss and disappointment, success and failure.
If the promise to be happy in your job (or worse, thanks to your job) can be delusional, the feeling of well-being in the workplace is a more realistic goal – one that can be reached and make a real difference. Indeed, researchers from the University of Warwick in the UK have proven that happy people are 12% more productive than usual, while unhappy workers are 10% less productive. Good team morale can enhance the company’s overall performance:
- improving employee productivity,
- fostering collaboration among colleagues,
- boosting employee creativity,
- …
Even if you have the desire to keep your team morale up, reality may not always go your way. As work is getting increasingly complex, employees can suffer from uncountable sources of pressure or dissatisfaction that may not show physically. If you feel something is looming among your teammates, the first thing you need to do is to identify the roots of the problem, in order to find the right solutions to put your team back on tracks.
Team Morale: Survey Your Team Members To Identify Issues
The first step to improve a low team morale is to gather feedback from all team members. Providing a safe “place” for everyone to express oneself openly is key to identify the roots of the problem. Indeed, as a manager, you might be part of the problem. Or else, your team member might not feel comfortable in spilling the beans in front of everyone.
Here are 3 methods you can implement in your team:
#1 Sending An Anonymous Survey
Employee morale surveys can provide crucial feedback that can lead to measures being taken to increase employee well-being. They give everyone the opportunity to share comments about the company or their team. Surveys can help identify issues before they become a bigger problem.
Anonymous surveys are even more effective for introverts or any employee fearing to get reproved for their ideas or comments. Anonymity helps to collect more honest feedback.
By understanding employee opinions, job satisfaction or dissatisfaction, and motivation, you can improve employee well-being, boost team morale in the workplace, and foster a productive environment where your employees thrive.
#2 Measuring The Team Morale With A Niko-Niko
The Niko-Niko calendar, a.k.a. the smiley calendar or the happiness index is a simple tool to measure team morale over time. It takes the form of a calendar with everybody’s name on it. At the end of the day, each team member is invited to share their mood of the day, sticking smilies happy 😄, straight 😬 or frowning 🙁 or color stickers on it.
The Niko-Niko calendar helps quantify the well-being, morale, and motivation of the team, and identify if something is going wrong.
#3 Using An Automated Tool Such As TeamMood
If you don’t want to build your own physical Niko-Niko calendar with a stack of color stickers, or if your team is working remotely, you can choose to use an online tool such as TeamMood. An online tool can also help you gather anonymous comments more easily, and provides statistics that can help you analyze trends.
Start measuring your team health today!
Improving Your Team Morale In The Long Term
If a one-of survey can help solve a specific situation, gathering regular feedback from your collaborators is key to continuously improve your team morale. Indeed, the situation is bound to evolve over time. A deadline moved forward, a change in the organization or a set-back in the project can destabilize the team members.
Moreover, by measuring team morale over time, you can measure the impact of past optimizations, and verify whether they were useful, or if you need to change them.
Want To Improve Your Agile Retrospectives?
Download our free Retrospective Outcomes Canvas
Get our free retro canvasTeam Morale Boosters: Best Of
Ideas to improve your team morale are legion, so we’ve selected the top 5 morale boosters that you can apply in all situations:
#1 Celebrate Personal And Team Achievements
Taking a moment to recognize your team members for a job well done in their day-to-day work is the easiest and most effective way to boost their morale. You can set a regular time to highlight individual contributions, at staff meetings, or during the annual evaluation of your team members. You can also make ad hoc praises if you want to recognize the stellar work of some team members.
Don’t underestimate team praise in front of the rest of the company too. Some teams may feel they work in the shadows, with no recognition from their colleagues in other teams. The team as a whole can benefit from feeling valuable to the rest of the company.
#2 Invest In Employee Training
The rate of technological change has forced the modern workforce to adopt a continuous learning mindset. From a business standpoint, helping employees master new skills ensures that your employees continue to be at the top of their game.
Moreover, providing adequate training is a key argument for engaging and retaining your best talents. Indeed, top-notch employees look for opportunities to learn and grow their skillset. If you don’t have enough budget to offer outside training for everyone, you can leverage the diverse skills of each team member and implement a regular “skillshare”. Your team members will benefit from both learning a new skill and being recognized for their specific talents.
#3 Cultivate A Culture Of Gratitude
Employees are more likely to thrive in a positive environment that values individuals and cultivates a culture of gratitude. Even in the toughest of times, most of us have something to be grateful for. Whether it’s a family back home that supports you or the latest achievement in your team, make sure that you appreciate what you have. By encouraging moments of reflection for your team, they will never lose sight of the positive things in their lives.
#4 Encourage Real Lunch Breaks And Vacations (Or Even Sabbaticals)
Your employees need to step away from their desks during the day. According to management professor Kimberly Elsbach, “staying inside, in the same location, is really detrimental to creative thinking.” Getting team members to take a coffee break, go for a walk, take a real lunch break or practice some sport will improve the overall team morale.
Likewise, true vacation time – with no work email, no phone calls, no laptop on the beach – can be a true booster of team morale.
#5 Limit Office Hours
“A shorter working week could improve our mental and physical health,’’ research shows. By limiting office hours, you can help your team members meet a work-life balance, and improve their quality of life. By having more time to rest or do a hobby they like, your employees will feel a higher motivation for work, as well as improve their productivity and creativity.
Do you want more? We’ve listed a few extra ideas in this article.
Conclusion
Doing your best to improve your team morale can prove the best investment for the future. Don’t miss the coach!
Photo by Amy Hirschi on Unsplash


[ CSSIFIED ]
Pretend menu options...
A control option...
A control option...
A control option...
A control option...
A control option...
Continue
New Game
Missions
Load
Options
Quit Game
A fake (approximated) implementation of the Dishonored in-game menu.


#include <hssEngine.h>
Use this class to open/close/supend/resume sound output and to play sounds.
Public Member Functions | |
| HSS_API s32 | open (u32 freqmix, u32 bps, bool stereo, u32 maxmodchannels=MOD_MIN, u32 maxsfxchannels=SFX_MIN) |
| Initialize the Hekkus Sound System. | |
| HSS_API s32 | close () |
| Shut down the Hekkus Sound System. | |
| HSS_API void | suspend () |
| Suspend sound output. | |
| HSS_API void | resume () |
| Resume sound output. | |
| HSS_API hssChannel * | channel (s32 chl) |
| Get a playing or paused hssChannel. | |
| HSS_API u32 | maxChannelMusic () |
| Get the total number of Music channels allocated. | |
| HSS_API u32 | maxChannelSound () |
| Get the total number of Sound channels allocated. | |
| HSS_API u32 | playingChannelMusic () |
| Get the number of Music channels that are playing. | |
| HSS_API u32 | playingChannelSound () |
| Get the number of Sound channels that are playing. | |
| HSS_API s32 | playSound (hssSound *sndfx, bool paused=false) |
| Play a Sound on the first Sound hssChannel available. | |
| HSS_API void | stopSound () |
| Stop all playing and paused Sound hssChannel. | |
| HSS_API void | pauseSound () |
| Pause all playing Sound hssChannel. | |
| HSS_API void | resumeSound () |
| Resume all paused Sound hssChannel. | |
| HSS_API s32 | playMusic (hssMusic *mod, bool paused=false) |
| Play a Music on the first Music hssChannel available. | |
| HSS_API void | stopMusic () |
| Stop all playing and paused Music hssChannel. | |
| HSS_API void | pauseMusic () |
| Pause all playing Music hssChannel. | |
| HSS_API void | resumeMusic () |
| Resume all paused Music hssChannel. | |
| HSS_API void | volumeSound (u32 v) |
| Set master Souns volume. | |
| HSS_API u32 | volumeSound () |
| Get master Sound volume. | |
| HSS_API void | volumeMusic (u32 v) |
| Set master Music volume. | |
| HSS_API u32 | volumeMusic () |
| Get master Music volume. |
|
|
Initialize the Hekkus Sound System. Open sound output at freqmix, setup a thread for sound update and alloc specified channels.
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Shut down the Hekkus Sound System.
All sounds are stopped, thread are deallocated.
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Suspend sound output. Suspend all sounds, thread and sound output. Call it when your app are minimized or lose focus. |
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Resume sound output. Resume all sounds, thread and sound output. Call it when your app regain focus after a suspend call. |
|
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Get a playing or paused hssChannel.
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Get the total number of Music channels allocated.
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Get the total number of Sound channels allocated.
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Get the number of Music channels that are playing.
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Get the number of Sound channels that are playing.
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Play a Sound on the first Sound hssChannel available. Play a Sound using the sample's default volume and loop settings. If all the Sound hssChannel are playing this sound will discarded and not played.
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Stop all playing and paused Sound hssChannel. All stopped hssChannel will be available for other play. |
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Pause all playing Sound hssChannel.
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Resume all paused Sound hssChannel.
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Play a Music on the first Music hssChannel available. Play a Music using the music's default volume and loop settings. If all the Music hssChannel are playing this sound will be discarded and not played.
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Stop all playing and paused Music hssChannel. All stopped hssChannel will be available for other play. |
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Pause all playing Music hssChannel.
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Resume all paused Music hssChannel.
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Set master Souns volume.


UPCOMING EVENTS
SUBSCRIPTIONS
WORK
BLOG
CONTACT
STARTUP
MADE IN
NEW YORK
Startup Framework
Suit up your startup
Made in New York


{% extends "modeleditor.html" %} {% block title%}Import Model from StochML{% endblock %} {% block modeleditorcontent %}


| position |
1 |
2 |
3 |
4 |
5 |
6 |
7 |
8 |
9 |
| 1 |
33.4 |
72.6 |
31.8 |
73.8 |
32.5 |
33.7 |
33.7 |
31.1 |
32.7 |
| 2 |
29.7 |
33.1 |
41.7 |
34.9 |
27.7 |
26.9 |
29.1 |
24.5 |
24.6 |
| 3 |
30.9 |
24.2 |
210.1 |
25.3 |
30.1 |
30.5 |
30.7 |
30.2 |
30.8 |
| 4 |
40.4 |
42.6 |
42.15 |
41.8 |
41.2 |
38.4 |
40.6 |
36.1 |
44.0 |
| 5 |
42.8 |
41.1 |
42.22 |
44.1 |
43.9 |
41.4 |
41.6 |
43.5 |
40.5 |
| 6 |
37.3 |
41.5 |
43.1 |
151.3 |
159.8 |
66.8 |
66.2 |
28.6 |
36.2 |
| 7 |
66.3 |
66.8 |
144.6 |
141.4 |
136.6 |
63.7 |
63.5 |
157.2 |
157.2 |
| 8 |
195.7 |
196.2 |
203.4 |
188.8 |
184.1 |
Nd |
Nd |
98.3 |
102.7 |
| 9 |
123.7 |
127.4 |
37.9 |
127.0 |
124.9 |
121.0 |
120.5 |
64.3 |
64.8 |
| 10 |
173.0 |
167.7 |
55.6 |
166.5 |
168.0 |
167.0 |
169.5 |
69.1 |
67.1 |
| 11 |
65.3 |
65.2 |
130.1 |
72.2 |
199.3 |
201.6 |
202.2 |
123.6 |
123.8 |
| 12 |
19.4 |
18.8 |
23.6 |
29.2a |
|
|
|
171.9 |
171.9 |
| 13 |
21.8 |
21.2 |
22.6 |
29.3a |
30.9 |
28.38 |
28.3 |
8.8 |
8.6 |
| 14 |
17.0 |
15.1 |
15.3 |
16.5 |
16.1 |
16.1 |
15.8 |
16.2 |
16.3 |
| 15 |
21.5 |
20.0 |
11.9 |
19.0 |
16.9 |
18.0 |
15.7 |
17.8 |
17.8 |


motorway chaos
Smash between lorry and car on M74 causes rush hour chaos as emergency crews race to the scene
by Paul SmithA SMASH closed part of the M74 motorway northbound at Hamilton Services earlier.
Police, fire and ambulance teams were called to J6 after the accident at 5:45pm.
A Police Scotland spokesperson confirmed a car and lorry were involved.
There have been no serious injuries.
Drivers reported huge delays while lanes one, two and three were locked down.
We told you earlier a man has suffered serious injuries after a crash in Aberdeen this afternoon.
Emergency services were called to Powis Terrace at around 2.25pm following reports of a person being hit by a car.
Roads in the area have been as emergency crews tackle the incident.


 Take this quiz to find out where in the world you should go for your next vacation.
You love sun and surf!  Kauai is the place for you! Kauai is an island in the mid-Pacific, part of the Hawaiian archipelago. It's nicknamed "the Garden Isle" thanks to the tropical rainforest covering much of its surface. The dramatic cliffs and pinnacles of its Na Pali Coast have served as backdrop for major Hollywood films, while 10-mile-long Waimea Canyon and the Nounou Trails traversing the Sleeping Giant ridge are hiking destinations.
Your vacation dream is Paris, France! The city of art and romance! You enjoy history and high culture, museums and monuments. Paris is the city for you. Paris, France's capital, is a major European city and a global center for art, fashion, gastronomy and culture. Its picturesque 19th-century cityscape is crisscrossed by wide boulevards and the River Seine. Beyond such landmarks as the Eiffel Tower and the 12th-century, Gothic Notre-Dame cathedral, the city is known for its cafe culture, and designer boutiques along the Rue du Faubourg Saint-Honoré.
 You like people watching and site seeing. Shanghai is your dream destination!Enormous Shanghai, on China’s central coast, is the country's biggest city and a global financial hub. Its heart is the Bund, a famed waterfront promenade lined with colonial-era buildings. Across the Huangpu River rises Pudong’s futuristic skyline, including 632m Shanghai Tower and the Oriental Pearl TV Tower, with distinctive pink spheres. Sprawling Yuyuan Garden has traditional pavilions, towers and ponds.
  Aspen, in Colorado’s Rocky Mountains, is a ski resort town and a year-round destination for outdoor recreation. It's known for its high-end restaurants, boutiques, and landmarks like the 1889 Wheeler Opera House, built during the area’s silver mining boom. Its Wheeler-Stallard House is a local history museum set in a 19th-century, Queen Anne–style home, while the Aspen Art Museum displays works from contemporary artists.


7 Sorting and filtering to find stories
7.1 A sorting miracle
After police in Ferguson, Mo., killed Michael Brown in 2014, advocates and journalists began examining the racial and ethnic gaps between police departments and the communities they served.
The New York Times found a 7-year-old survey conducted by the Justice Department that allowed it to compare the data for major cities in a standalone graphic that it published later that year.
When newer data reflecting departments’ makeup in 2012 was released a year later, Matt Apuzzo and Sarah Cohen hoped it would show some differences. It didn’t. So we were left trying to find news in the data that was clearly of public interest.
Cohen matched up the demographics of police departments with their cities and then started sorting, filtering and Googling. Could there be news in the outliers on the list? Which departments most closely represented their communities? Which ones had unusually large gaps?
Cohen quickly stumbled on telling anecdote to frame the story: Inkster, Mich. had one of the least representative departments in the country, and had recently hired a new police chief to help mend the department’s fraught relationship with its largely African-American community. Where had he come from? Selma, Ala., one of the most representative police departments in the nation. Interviews with the chief, William T. Riley III, suggested one reason for some cities’ disparities: there was no state or federal money to pay for training new police officers.
The story, “Police Chiefs, Looking to Diversity Forces, Face Structural Hurdles” helped explain the persistent gap between the makeup of police in some areas and the communities they served.
7.2 Sorting and filtering as a reporting tool
Sorting and filtering can:
- Narrow your focus to specific items that you want to examine in your story.
- Show you rows containing the highest and lowest values of any column. That can be news or it can be errors or other problems with the data.
- Let you answer quick “how many?” questions, with a count of the rows that match your criteria. (In the next lesson, you’ll see that pivot tables, or group-by queries, are much more powerful for this in most cases.)
7.3 Example data
Data from the Washington Post police shootings database for use in this tutorial - Documentation from the Post’s github site :::
The data for this and several other chapters is the Washington Post’s public data collection of police shootings in the U.S. It includes the nation’s best guess about each fatal police shooting since 2015. There are a couple of caveats:
It excludes deadly police interactions other than shooting a firarem at the suspect. Any strangulation, car crashes, Tasers without guns or other methods are excluded.
It is based primarily on news reports and the results public records requests so it often contains the story as told by police. We know that many of those reports are sugar-coated at best, and lies at worst.
The Post says this is a list of fatal shootings, but doesn’t say what happens if more than one person is killed. The 2019 shooting of D’Angelo Brown & Megan Rivera in West Memphis is shown as two rows1 in the data even though it was one event. So each row might be considered a shooting “victim”, a “suspect” or a shooting “fatality” rather than a “shooting”.
The screenshots in this tutorial may not match exactly to what you get on the Washington Post data. This tutorial used data current to Aug. 3, 2022.
It’s a good example set for us because it’s been used as the basis of many stories, it has at least one of each data type that we plan to deal with in Google Sheets, and it is well documented on the Post’s github site.
7.4 Get the data into Google Sheets
Download the [police shooting data from the Washington Post](https://github.com/washingtonpost/data-police-shootings/releases/download/v0.1/fatal-police-shootings-data.csv
Open Google Sheets. File | Import | Upload | Select the downloaded file “fatal-police-shootings-data.csv” . After it uploads, select the green “Import Data” button.
7.5 Understanding data types
When you open the spreadsheet, the first thing to notice is its granularity. Unlike Census or budget spreadsheets, this is a list capturing specific characteristics of each fatality Each column has the same type of data from top to bottom. Those types are:
Text. Text or “character” columns can come in long or short form. When they are standardized (the values can contain only one of a small list of values), they’re called “categorical”. If they’re more free-form, they’re might be called “free text”. The computer doesn’t know the difference, but you should. The Post data has examples of both. In spreadsheets, text is left-justified (they move toward the left of the cell and will line up vertically at the beginning)
Numbers. These are pure numbers with no commas, dollar signs or other embellishments. In Google Sheets, as we’ll see in the computing section, these can be formatted to look like numbers we care about , but underneath they’re just numbers. Adding up a column of numbers that has a word in it or has missing values will just be ignored in Google Sheets. It will trip up most other languages. These are right-justified, so the last digit is always lined up vertically.
Logical: This is a subset of text. It can take one of only two values – yes or no, true or false. There is no “maybe”.
Date and times: These are actual dates on the calendar, which have magical properties. Underneath, they are a number. In Google Sheets, that number is the number of days since Jan. 1, 1900.2 They can also have time attached to them, which in Google Sheets is a fraction of a day. What this means is that the number 44,536.5 is really Dec. 6, 2021 at noon. In Google Sheets, you use a format to tell the spreadsheet how you want to see the date or time, just the way you look at dollar values with commas and symbols. (If you get a spreadsheet with a lot of dates of 1/1/1900, it means there is a 0 in that column, which is sometimes a fill-in for “I don’t know.”)
Here’s a picture of a date that is shown in a variety of formats.
All of these are the same, underlying value – the number at the left. Notice that all of these are right-justified.
This means that when you see “Friday, December 10”, the computer sees 44540.87431. When you put the dates in order, they won’t be alphabetized with all of the Fridays shown together. Instead, they’ll be arranged by the actual date and time.
It also means that you can compute 911 response times even when it crosses midnight, or or compute the someone’s age today given a date of birth. Keeping actual calendar dates in your data will give it much more power than just having the words. (Google Sheets uses the 1st of the month as a stand-in for an actual date when all you know is the month and year.)
7.5.1 Sorting rows
Sorting means rearranging the rows of a data table into a different order. Some reporters take a conceptual shortcut and call this “sorting columns”. That thinking will only get you into trouble – it lets you forget that you want to keep the rows in tact while changing the order in which you see them. In fact, in other languages it’s called “order by” or “arrange” by one or more columns – a much clearer way to think of it.
In Google Sheets, look for the sort options under the Data tab at the top of your screen. In this case, sorting from oldest to newest gives you a list of the fatalities in chronological order, including the time of day.
To sort your data:
- Make a copy of your data. Left click on the “fatal-police-shootings-data” tab, select Duplicate
- Select your data by clicking the box above Row 1 and to the left of Column A
- Select Data | Sort Range | Advanced Range Sorting Options
- Click “Data has header row” and then select date from the Sort by dialog box. Select Z –> A
- Select Sort
Adding fields to the sort
Adding more columns to the sort box tells Google Sheets what to do when the first one is the same or tied. For example, sorting first by state then by date gives you a list that shows all of the events by state in sequence:
7.5.2 Filtering
Filtering means picking out only some of the rows you want to see based on a criteria you select in a column. Think of it as casting a fishing net – the more filters you add, the fewer fish will be caught.
To activate filters in Google Sheets, from the Menu:
- Data | Filter Views | Create a New Filter View
- You’ll see little triangles next to the column headings.
Click the “armed” heading. You will see options for various weapons. All are selected by default with a check mark. To select just “ax”, click on clear and then select “ax.” The sheet how is filtered to just weapons using an ax. To remove the filter, repeat the steps and “select all” and the entire sheet is displayed again.
Each filter you select adds more conditions, narrowing your net.
To find fatalities that involved a firearm with a Taser, use the drop-down menu under manner_of_death
select “shot and Tasered”.
This method works for small-ish and simple-ish columns. If your column has more than 10,000 different entries, such as names or addresses, only the first 10,000 will be considered. We only caught these for stories when someone did a fact-check using a different method of filtering. If your column has a lot of distinct entries, use option that says “Choose One”, and then use the “Contains” option. Better yet, don’t use filtering for counting things at all.
Add more filters to narrow down your list of cases even more. For example, the New York Times ran a series of stories in 2021 about unarmed people shot by police. One story was about those who were fleeing by car. Here’s one way to get a preliminary list of those cases:
- Remove any filter you already have on.

- Choose “unarmed” under
armed
and “car” underflee
.
(Of course, the Times didn’t stop there in trying to find more cases and teasing out more of them from this and other data. But this is a start. )
Different kinds of filters
There are several filter options. You can filter by various conditions. For numerical data, you can set a minimum or maximum value or a range of values. This is useful for dates to specify a certain time period. For text, you can filter if a word contains a few letters, useful to capture spelling variations.
Finding these is something that’s pretty hard in a spreadsheet but will be really easy in R.↩
Each language deals with dates and times a little differently. We’ll see how R does it later on. But just know that dates can be tricky because of these differences and time is even more tricky↩


PUSH BACK THE DARKNESS
Thank you very much to all supporters of this initiative!
Without the support of so many people and organizations across the country, this initiative would not exist or have achieved the success which it has.
The success of this initiative is proof of the outsized impact that small acts of kindness can have - all of this started with a hug, and through friendship and working together and spreading the word this has grown to the point where people across the country are helping to push back the darkness of ignorance and hate with the light of knowledge and friendship in each of their communities, as friends and as neighbours.
Supporting Organizations
The following organizations have pledged their support to this initiative, and have been instrumental in helping to push back the darkness of ignorance and hate with the light of knowledge and friendship:
Supporting Parliamentarians
The following Members of Parliament and Senators support this initiative, and are committed to sharing the light of knowledge and friendship in their communities and across Canada:


Road Town is home to the beautiful J.R. O'Neal Botanic Gardens which wind through close to three acres of indigenous and exotic plants, trees and herbs. The capital is also brimming with restaurants, shops, and is the site for the hospital, government administration offices and official Governor's House with its historical museum. Just behind Waterfront Drive is Main Street, a peep into the B.V.I'.s architectural past, which still has many historic buildings and churches, charming cafes, and curio shops as well as the Virgin Islands Folk Museum.
Position 18° 24'55"N, 064° 36'22"W
See the main Noonsite/BVI/Formalities page for the full details.
Customs and Immigration are at the government dock at Road Town. Anchor off the dock and dinghy in to check in with Customs and Immigration before moving elsewhere.
Last updated August 2016.
There is a range of marinas and mooring berths available in this harbour.
Last updated February 2014.


Symbollic Logic
by Lewis Carroll
“Book 6: Chapter 2”
Additional Information
- Year Published: 1896
- Language: English
- Country of Origin: United States of America
- Source: Carroll, L. (1896). Symbollic Logic. New York; Macmillan & Co.
-
Readability:
- Flesch–Kincaid Level: 10.5
- Word Count: 627
- Genre: Informational
- Keywords: math history, mathematics
- ✎ Cite This
Downloads
CHAPTER II.
REPRESENTATION OF PROPOSITIONS OF RELATION
Let us take, first, the Proposition “Some x are y”.
This, we know, is equivalent to the Proposition of Existence “Some xy exist”. Hence it may be repre- sented by the expression “xy1”.
The Converse Proposition “Some y are x” may of course be represented by the same expression, viz. “xy1”.
Similarly we may represent the three similar Pairs of Converse Propositions, viz.–––
“Some x are y’” = “Some y’ are x ”,
“Some x’ are y” = “Some y are x’”,
“Some x’ are y’” = “Some y’ are x’”.
Let us take, next, the Proposition “No x are y”.
This, we know, is equivalent to the Proposition of Exist- ence “No xy exist”. Hence it may be repre- sented by the expression “xy0”.
The Converse Proposition “No y are x” may of course be represented by the same expression, viz. “xy0”.
Similarly we may represent the three similar Pairs of Converse Propositions, viz.
“No x are y’” = “No y’ are x”,
“No x’ are y” = “No y are x’”,
“No x’ are y’” = “No y’ are x’”.
Let us take, next, the Proposition “All x are y”.
Now it is evident that the Double Proposition of Existence “Some x exist and no xy’ exist” tells us that some x-Things exist, but that none of them have the Attribute y’: that is, it tells us that all of them have the Attribute y: that is it tells us that “All x are y”.
Also it is evident that the expression “x1 Ü xy’0” represent this Double Proposition.
Hence it also represents the Proposition “All x are y”.
[The Reader will perhaps be puzzled by the statement that the Proposition “All x are y” is equivalent to the Double Proposition “Some x exist and no xy’ exist,” remembering that it was stated, at p. 33, to be equivalent to the Double Pro- position “Some x are y and no x are y’” (i.e. “Some xy exist and no xy’ exist”). The explanation is that the Proposition “Some xy exist” contains superfluous information. “Some x exist” is enough for our purpose.]
This expression may be written in a shorter form, “x1y’0”, since each Subscript takes effect back to the beginning of the expression.
Similarly we may represent the seven similar Proposition
“All x are y’”,
“All x’ are y”,
“All x’ are y’”,
“All y x”,
“All y are x’”,
“All y’ are x”,
and “All y’ are x’”.
[The Reader should make out all these for himself.]
It will be convenient to remember that, in translating Proposition, beginning with “All”, from abstract form into subscript form, or vice versa, the Predicate changes sign (that is, changes from positive to negative, or else for negative to positive).
[Thus, the Proposition “All y are x’” becomes y1×0”, where the Predicate changes from x’ to x. Again, the expression “x’1y’0” becomes “All x’ are y”, where the Predicate changes for y’ to y.]


ULN appending stopped
There are 5 errors across 100 records that you need to fix.
Error details:
| Row | Name | DOB | ULN | Reason |
|---|---|---|---|---|
| 1 | Mahershalalhashbaz de Orellana Plantagenet | 10/10/1999 |<PHONE_NUMBER> | The date of birth was changed. |
| 4 | Taylor Lucas | 10/10/1999 |<PHONE_NUMBER> | The first name was changed |
| 15 | Prahlad Evans | 10/10/1999 |<PHONE_NUMBER> | The first name was changed
The surname was changed |
| 21 | Melissa Shaw | 10/13/1999 | ---- | The ULN was missing |
| 45 | William Singh | 06/11/2000 |<PHONE_NUMBER> | The date of birth was changed |
Please review these 5 and retry them.


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We're now at
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. Click on the link if you are not redirected.


Razer announces two new Basilisk gaming mice with incredible battery life
by PradeepRazer today announced the new line-up of Basilisk mice: Razer Basilisk Ultimate and Razer Basilisk X HyperSpeed. Both mice are powered by Razer HyperSpeed technology to offer great wireless performance with the lowest click latency. Another main highlight in both of these mice is their battery life. The Basilisk X HyperSpeed offers the highest battery life (up to 285 hours) in any wireless gaming mouse and the Basilisk Ultimate offers 100 hours battery life.
The new Razer Basilisk Ultimate mouse comes with Focus+ 20K DPI Optical Sensor with support for new features such as Smart Tracking, Asymmetric Cut-Off and Motion Sync for greater tracking accuracy. And it is fitted with Razer Optical Mouse Switches. Like other Razer products, Razer Chroma in this mouse will allow you to customize it with 16 million colors. Find more information about these mice below.
Razer Basilisk Ultimate tech specs:
- True 20,000 DPI Focus+ optical sensor with 99.6% resolution accuracy
- Up to 650 inches per second (IPS) / 50 G acceleration
- Advanced Lift-off/Landing distance customization
- HyperSpeed wireless technology
- Eleven independently programmable buttons
- Replaceable Multi-function paddle
- Razer™ Optical Mouse Switches rated for 70 M clicks
- Ergonomic right-handed design with textured side-grips
- Gaming-grade tactile scroll wheel with infinitely customizable resistance
- On-The-Fly Sensitivity Adjustment (Default stages: 800/1800/4000/9000/20000)
- Hybrid On-board and Cloud Storage (4+1 profiles)
- Razer Synapse 3 enabled
- 14 Razer Chroma™ RGB lighting zones with true 16.8 million customizable color options
- Inter-device color synchronization
- Wired and Wireless usage modes.
- 4 GHz dongle
- 8 m / 6 ft Speedflex cable for charging and wired use
- Razer Mouse charging dock compatible
- Battery life: Approximately 100 hours (without lighting) (Battery life depends on usage settings)
- Approximate size: 130 mm / 5.11 in (Length) x 75 mm / 2.75 in (Width) x 42 mm / 1.65 in (Height)
- Approximate weight: 107 g / 3.77 oz (Excluding cable)
- Compatible with Xbox One for basic mouse input
Pricing and Availability:
- Razer Basilisk Ultimate & Razer Mouse Dock: $169.99 USD / €189.99 MSRP
- Razer Basilisk Ultimate: $149.99 USD / €169.99 MSRP
- Razer Mouse Dock: $49.99 USD / €59.99 MSRP
- Available from November 6, 2019
Razer Basilisk X HyperSpeed tech specs:
- Razer 5G Advanced Optical Sensor with true 16,000 DPI
- Up to 450 inches per second (IPS) / 40 G acceleration
- HyperSpeed wireless technology (using 2.4 GHz Dongle)
- Dual-mode wireless (2.4 GHz and BLE)
- Six independently programmable buttons
- Razer™ Mechanical Mouse Switches rated for 50 M clicks
- Ergonomic right-handed design
- Gaming-grade tactile scroll wheel
- On-The-Fly Sensitivity Adjustment (Default stages: 800/1800/4000/9000/16000)
- On-board DPI and keymap storage
- Razer Synapse 3 enabled
- Battery life: Up to 285 hours (2.4 GHz), 450 hrs (BLE) with included AA battery.
- Approximate size: 130 mm / 5.11 in (Length) x 60 mm / 2.36 in (Grip Width) x 42 mm / 1.65 in (Height)
- Approximate weight: 83 g / 2.9 oz (Excluding battery)
Pricing and Availability:
- $59.99 USD / €69.99 MSRP
- Available from November 6, 2019
Source: Razer


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PLANET SICK-BOY: http://www.sick-boy.com "We Put the SIN in Cinema" ©Copyright 2000 Planet Sick-Boy. All Rights Reserved.
So my cousin asks me what the movie Chocolat is about, and I tell him, "Some woman opens a chocolate shop and everybody in town falls in love with both her delicious concoctions, as well as each other." Then my cousin muses, "So it's like that movie with Buffy," referring to the beyond-awful Sarah Michelle Gellar film, Simply Irresistible, which shares a similar theme with Chocolat.
After the dry heaving stopped, I stepped into the theatre and was greatly relieved to find Chocolat wasn't anywhere near as bad as Irresistible, or the equally unpleasant and more recent Woman on Top. If you head for the theatre expecting to find a wonderful film about food preparation and consumption (like Big Night) or a romantic movie that focuses on food as a tool of seduction (Like Water for Chocolate), you might go home disappointed. A light, crowd-pleaser with above-average acting and a predictable ending, Chocolat lands somewhere between the wide gap created by Irresistible and Night - thankfully landing a bit closer to the latter than the former.
The film is set in 1959 in the tiny French town of Lansquenet, a hamlet populated by a flock of conservative bible-thumpers that would sooner lose a limb than miss a mass. And when Vianne (Juliette Binoche, The English Patient) and her daughter Anouk (Victorie Thivisol, Ponette) stroll into Lansquenet, the whole town is in the midst of Sunday sermon. Vianne rents a pastry shop from a dour old woman named Armande (Dame Judi Dench, Tea With Mussolini), the only Lansquenet resident who refuses to go to church.
Vianne turns the storefront into a chocolate shop, but makes the mistake of having its grand opening just as Lent begins.  It's all too much for the town to handle and, as a result, the shop doesn't get much business despite Vianne's uncanny ability to pick the right sugary morsel to suit everyone she encounters.
In fact, the only customers Vianne gets at first are her landlord and a shoplifter named Josephine (Lena Olin, The Ninth Gate) who eventually escapes her loveless marriage to Lansquenet's café owner (Peter Stormare, Dancer in the Dark) to become Vianne's assistant (a pretty dumb development). Both Armande and Josephine supply Chocolat with the necessary plots to keep the film from just being about a candy store. In case that isn't enough to interest you, Vianne gets a love interest in the form of a guitar-playing, Irish gypsy (Olin's Gate costar, Johnny Depp) who doesn't show up until an hour into the film.
With the exception of Depp's disappearance, which occurs about 20 minutes after he first appears (not bad for somebody who gets their mug plastered on the film's poster), Chocolat is fairly predictable. The film is sparsely narrated, which makes it seem like it was added as an afterthought. There's also an awkward flashback that shows how Vianne's family discovered the secret of chocolate. All of the laughs (and I mean all of them) come at the expense of the church, and most involve Lansquenet's new, wide-eyed priest (Hugh O'Connor), who has trouble dealing with the puritanical Mayor and his unexplainable anger toward Vianne.
Binoche delivers a one-note performance and is outperformed by most of Chocolat's supporting cast (especially Dench). Thivisol, who was so stunning in Ponette, has little to do but prattle on about her imaginary kangaroo friend. Depp's Irish brogue is impeccable but, unfortunately, he doesn't get to stick around long enough to leave any kind of mark on the film.
Based on Joanne Harris's novel of the same name, Chocolat is a bit of a disappointment following the success of director Lasse Hallström's last film, The Cider House Rules. Something could have been lost in the adaptation from Harris' story, as Chocolat's screenwriter's (Robert Nelson Jacobs) only two other credits are the less-than-stellar Dinosaur and Out to Sea. Although Hallström packs the film with great acting talent, a decent score (Cider House's Rachel Portman) and warm photography (Roger Pratt, The End of the Affair), Chocolat is not unlike eating a fistful of Vianne's creations: They taste great on the way down, but give you a bit of a stomach ache after you've finished.
1:56 – PG-13 for a scene of sensuality and some violence
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


Description: Get the ancestors of each element in the current set of matched elements, up to but not including the element matched by the selector, DOM node, or jQuery object.
selector: Selector A string containing a selector expression to indicate where to stop matching ancestor elements.
filter: Selector A string containing a selector expression to match elements against.
element: Element A DOM node or jQuery object indicating where to stop matching ancestor elements.
filter: Selector A string containing a selector expression to match elements against.
Given a selector expression that represents a set of DOM elements, the .parentsUntil()
method traverses through the ancestors of these elements until it reaches an element matched by the selector passed in the method's argument. The resulting jQuery object contains all of the ancestors up to but not including the one matched by the .parentsUntil()
selector.
If the selector is not matched or is not supplied, all ancestors will be selected; in these cases it selects the same elements as the .parents()
method does when no selector is provided.
As of jQuery 1.6, A DOM node or jQuery object, instead of a selector, may be used for the first .parentsUntil() argument.
The method optionally accepts a selector expression for its second argument. If this argument is supplied, the elements will be filtered by testing whether they match it.
<!DOCTYPE html>

I

II

A

B

1

2

3

C

III


I made this drawing machine as an extension of a simple rack-and-gear prototype I made to practice
designing and piecing together gears from Illustrator files. I ended up laser cutting a small pen holder and attaching the prototype
to a DC motor to get the device shown below, and then decided to turn it into a drawing machine that operates by using a photoresistor.
All components in this drawing machine were laser cut from Illustrator files I created. The circular turntable holds
the drawing surface in place, the arm at then end of the rack holds a drawing instrument, and the acrylic box
encases the electronics. I chose to make the electronics box out of acrylic since I designed the circuitry such that
the drawing arm is contolled by a photoresistor.
When light shines on the photorsistor, the motot is activated, thus
turning the gear to move the pen at the end of the arm. In this way, the undulating circular patterns shown below are created.


All of our menu updates begins with the program called 'Menu Creator'. It can be found on our local server. Joe's computer, and the label computer are both setup for it. In the Windows File explorer simply navigate to Z:\Menus\ and then double click Menu Creator. You should see something similiar to the image on the left.
To start, select what menu you would like to edit and update, using the radio boxes on the top left of the program. Once selected, press Edit. This will take you into Excel where you can change anything and everything about the menu!
0 Completed Menu Updates
Stories are told of a legendary man who knows Excel formulas by heart and doesn't need to Google for them.
In Excel, simply select and edit what ever menu item you need to change. But there are a few things you need to follow.
1: Company names are purple and begin with a number following their bin number
2: Product names are green and begin with a letter following their bin letter
3: When a product is no longer in stock, remove it. Don't do a strikethrough. This will cause the menu to eventually fill up with out of stock products and can potentially rile up shitty customers.
4: Uniformity is grand. Try to make sure each column of products looks clean and try as best as you can to make sure that each column is even to the best of your abilities. Sometimes you can't always do that, when that happens make sure to fill in the left most column first and then the remaining columns.
5: Excel is basically just a shitty word document. Don't be intimadated with its boxes and vastly useless interface.
The outline that I use on the menus is very simple to add in. Highlight the entire column of products that you need to change the outline for. Do not select more than one column or things will get a tad messy. Once selected, there's a small square button directly below the Font Size selector and to the left of the Paint bucket fill too. Click the little arrow that points down next to it. You should see a popup with some selectios. At the very bottom you will see the option 'More Borders', click that. Now, make sure that the Color selector shows your color. If it does not click it and its the purple of the right side of the bottom row. And you will get an outline! Press OK and you will be taken back to the border menu. If the little display on the side shows a solid line, that means that part of the column already has the proper border. If it shows no line, or a checkered grey line that means the border is not on the part and needs to be added. Simply click the little square that matches what side of the column you want to add the border to until it shows a solid line. And that's it!
I normally do the top, bottom, and right sides of the column with borders leaving the left side without one.
Here are some YouTube Playlists that might help you out Excel Basics Intermediate
Well, as for excel there's not too much more you need to do. Just follow the pointers and make sure you fill the Excel sheet with that light grey color in order to keep things clean.
Didn't we just do that?
In order to upload it to the TVs all you have to do is nothing! Uploading is handled by the MenuCreator! When you create your menu just simply make sure that 'Automatically Upload' is checked and sit back and relax!
>(OUTDATED)Now you may be asking yourself, 'Joe wtf I just had to spend my whole afternoon learning Excel, and you're saying were not done?'. Yeah, that's exactly what I'm saying. Once you finished editing in Excel save and close Excel. Return to the Menu Creator program, (which hopefully is still open), and press the big button, 'Create Image'. Our TVs, while being 'smart', are dumb. And can only accept certain file formats. The Menu Creator was hand made to turn and Excel Spreadsheet into a crisp, clean, image file that the TVs can display. Once the image has been created a preview of it should appear in the program. Make sure that the whole menu is visible. If something looks like it got cut off, below the preview you will see 'Image Settings'. For Excel Range you will want to adjust the second box. The letter Dictates how far to the right the image will show and the number is how far down. So for example it says U40, and my image has a little bit cut off on the bottom, you will adjust the 40 to something like 42 or 43. Once you change it hit save and then 'Create Image' again. And see if the preview is any better.
Once you have the image how you want, press 'Open Web Page', this will take you to a special website I made to one stop manage all of the menus and what images they display. Select the Menu you want to adjust and give it a second to load up. Once loaded, you will see a page displaying 'Assets'. Assets are compatible files that the TVs can display. I like to delete old ones but its not needed. In the upper right hand side of the page, you will see a big blue button that says 'Add Asset'. Press that, then Upload, then Add Files. You will see a popup asking you to locate the menu you just created. It will be located on your desktop. The file should be named 'menuname'_Date.png or somethign similiar to that. Select it and it will return you to the upload screen. Once the loading bar finishes the asset will now be available on that intial page. Press back to assets to return.
Find you new asset and switch it from 'Off' to 'On' and then the old active asset from 'On' to 'Off'. After roughly 22 seconds your new menu should be up on the TV! Congrates you did it!
Normal people are the most special people, that's why God made so many. /s
Daily specials are in essence, the same as a normal menu. You edit an excel file, create an image, and upload it to the TVs. They are different however, in the fact that its placed onto another image to make it pretty. At the time of writting, this image was a green chalkboard. Things to note about the daily specials menu:
1: You need to follow the font/color directions in the excel file. As things change these will be altered to match the background.
2: The image creation is still experimental. Testing has shown reliable results with no complications, but please keep that in mind.
Shit happens. Just make sure you move the fan out of the way.
Here are some common issues you may run into while working on menus:
1: Failed To Create Image. If Menu Creator tells you that it failed to create the image or shows some sort of 'Copy Range' error. Close out of all other programs other than MenuC reator and try again. Some programs like to lock Menu Creator out of using the Copy/Paste functions and so you just gotta get rid of everything that stands in your way.
2: File Not Found. File not found error when going to open the WebPage for the TVs. This can happen rarely, but it is an easy fix. Windows doesn't like to load server drives sometimes, so all you have to do is in explorer open up the Z drive and close it and try again.
3: Should I export in 4k? Yes always export the image in 4K.


Dela677.github.io
Carson Comanche 2Wd Bedienungsanleitung. View and Download Carson Reflex stick multi pro instruction manual online. 14 channel. Reflex stick multi pro Toy pdf manual download. CARSON REFLEX STICK MULTI PRO INSTRUCTION MANUAL Pdf Download.
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BEFORE
BAR
PIE
DOUGHNUT
POLAR AREA
RAW
AFTER
BAR
PIE
DOUGHNUT
POLAR AREA
RAW


## Overview of Programming
Programming is basically
- Types
- Variables
- Lists
- Objects
- Functions
- Loops
- Control Flow
- Expressions
### Variables
A variable is a named place where you can store information you can use later
## Example
Storing numbers for addition
### Arrays (Lists)
An ordered list of data that can be accessed by index. Index starts at zero.
## Example
List of users; Temperatures for the week
var users = ["Bob", "Lisa", "Aaron"];
alert(users[0])
// => alerts "Bob"
### Objects (Hashes, Dictionaries)
A data structure based on keys and values. Keys must be strings but values can be any of the other Types.
## Example
Any complex data structure.
- state of game
- users
- data returned from external service e.g. Twitter, Weather
var bob = { firstName: "Bob", lastName: "Smith", phone: "333444343"};
alert(bob.firstName);
// => alerts 'Bob'
### Functions
A piece of code that performs a task
## Example
Adding two numbers together; Trahsforming a list of data.
function addTwo (n) {
alert(n + 2)
}
addTwo(4);
// => alerts 6
or return a value
function addTwo (n) {
return n + 2;
}
var newValue = addTwo(4);
alert(newValue);
// => alerts 6
### Loops
A variable is a named place where you can store information you can use later
### for
takes as arguments
1. Initial value
2. It will keep looping until this evalutes to false
3. What to change (increment or decrement the counter)
### Example
for (var i = 0; i < 10; i += 1) {
alert(i);
}
### Example
Storing numbers for addition
### Control Flow
Your code making decisions
### if/else
If this is true, then do something, otherwise do something else
## Example
Act on received data, only if you really received data
var n = 4;
if (n === 3) {
alert("there is a problem here");
} else {
alert("At least it doesn't equal 3"
}
## Hello World example
// save the "Hello World!" string in a variable named 'hello'
var hello = "Hello World!";
// built in JavaScript 'alert' pops up dialog in browser with it's argument
alert(hello);
## JavaScript Documentation
### Mozilla (Firefox) Javascript Developer Docs
https://developer.mozilla.org/en/docs/JavaScript
### Or in Spanish!
https://developer.mozilla.org/__es__/docs/JavaScript


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Ham, pineapple and mozzarella cheese.
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Inline code
has back-ticks around
it.
Blocks of code are either fenced by lines with three back-ticks ```, or are indented with four spaces " ". I recommend only using the fenced code blocks -- they're easier and only they support syntax highlighting.
var s = "JavaScript syntax highlighting";
alert(s);
Unde omnis iste natus error sit voluptatem accusantium doloremque laudantium, totam rem aperiam, eaque ipsa quae ab illo inventore
s = "Python syntax highlighting"
print s
sed quia consequuntur magni dolores eos qui ratione voluptatem sequi nesciunt. Neque porro quisquam est, qui dolorem ipsum
No language indicated, so no syntax highlighting.
But let's throw in a <b>tag</b>.
Quis autem vel eum
/**
* @author John Smith<EMAIL_ADDRESS>*/
package l2f.gameserver.model;
public abstract class L2Char extends L2Object {
public static final Short ERROR = 0x0001;
public void moveTo(int x, int y, int z) {
_ai = null;
log("Should not be called");
if (1 > 5) { // wtf!?
return;
}
}
}


| trans_breaks {scales} | R Documentation |
These often do not produce very attractive breaks.
trans_breaks(trans, inv, n = 5, ...)
trans |
function of single variable, |
inv |
inverse of the transformation function |
n |
desired number of ticks |
... |
other arguments passed on to pretty |
trans_breaks("log10", function(x) 10 ^ x)(c(1, 1e6)) trans_breaks("sqrt", function(x) x ^ 2)(c(1, 100)) trans_breaks(function(x) 1 / x, function(x) 1 / x)(c(1, 100)) trans_breaks(function(x) -x, function(x) -x)(c(1, 100))


Online URL shortener
Short the urls from a csv
Check how many users are making petitions from diferent BROWSERS and OS


This is a playground for Burgh blockchain point system.
Burgh Blockchain Points Transactions
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Points


Curriculum Vitae
A more detailed PDF version of this page can be downloaded here.
| Education | |
|---|---|
| September 2012 - present |
St. John's University - College of Pharmacy and Health Sciences Candidate, Doctor of Pharmacy — 2018 GPA — 3.63 |
| Certifications and Licenses | |
|---|---|
| June 2017 - present |
Intern Pharmacist License — No. 40188 State of California |
| March 2017 - present |
Adult First Aid/CPR/AED American Red Cross |
| March 2017 |
SBIRT for Health and Behavior Health Professionals University of Missouri-Kansas City — Online Course |
| February 2017 |
Opioid Overdose Prevention Training (includes naloxone administration training) Creedmoor ATC — State of New York |
| June 2015 - present |
Pharmacy Intern Permit — No. 094138 State of New York |
| Professional Experience | |
|---|---|
| March 2017 - October 2017 |
CLIPMERGE PGx Developer Mount Sinai School of Medicine, Institute for Personalized Medicine — New York, NY Supervisors: Aniwaa Owusu Obeng, PharmD; Tom Kaszemacher |
| August 2015 - present |
Pharmacy Intern Mount Sinai Beth Israel — New York, NY Supervisor: Robert Bosakowski, RPh |
| August 2015 - January 2016 |
Pharmacy Intern Walgreens — Elmhurst, NY Supervisor: Jeffrey Hsu, PharmD |
| June 2015 - August 2015 |
Pharmacy Intern Walgreens — East Elmhurst, NY Supervisor: James Kelso, PharmD |
| September 2014 - May 2015 |
Pharmacy Assistant Roosevelt Drugs and Surgical — Jackson Heights, NY Supervisor: Muhammad Rafiq, RPh |
| July 2011 - June 2012 |
Pharmacy Volunteer Downey Regional Medical Center — Downey, CA |
| Advanced Pharmacy Practice Experiences (APPEs) | |
|---|---|
| March 2017 (anticipated) |
St. John's University
Preceptor: Joseph Etzel, PharmD Location: New York, NY Elective in Pharmacy Education |
| February 2017 (anticipated) |
Jacobi Medical Center
Preceptor: Elaine Hassan, PharmD Location: New York, NY Elective in Infectious Disease |
| January 2017 - present |
Long Island Jewish Medical Center Preceptor: Michelle Glater, PharmD Location: New York, NY Warfarin Counseling and Education |
| Octorber 2017 - November 2017 |
Mount Sinai Hospital Preceptor: Sharon See, PharmD Location: New York, NY Inpatient Geriatric Acute Care |
| September 2017 - October 2017 |
FCB Health Preceptor: Lisa V. Eapen, PharmD Location: New York, NY Health Media and Advertising |
| August 2017 |
Elmhurst Hospital Center Preceptor: Mark Asaad, PharmD Location: Elmhurst, NY Ambulatory Care/Psychiatry |
| July 2017 - August 2017 |
CVS/Pharmacy Preceptor: Linh Huynh, RPh Location: Downey, CA Community Pharmacy |
| May 2017 - June 2017 |
CVS/Pharmacy Preceptor: Thai Kaii, RPh Location: New York, NY Community Pharmacy |
| Introductory Pharmacy Practice Experiences (IPPEs) | |
|---|---|
| September 2015 - December 2015 |
Henry J. Carter Specialty Hospital & Nursing Facility Preceptor: Chantal Cyrius, PharmD Location: New York, NY |
| July 2015 - August 2015 |
Walgreens Preceptor: Sung Mi Kyung, RPh Location: Elmhurst, NY |
| Research Experience | |
|---|---|
| January 2017 - October 2017 |
Investigator Protocol Title: A Retrospective Analysis on the Incidence of Falls in Patients Taking Medications Associated with Fall Risk in 2016 Site: Long Island Jewish Medical Center — New Hyde Park, NY Advisors: Nicole M. Maisch, PharmD; Maha Saad, PharmD, CGP, BCPS |
| June 2016 - November 2016 |
Investigator Protocol Title: A Retrospective Analysis on the Incidence of Falls in Patients Taking Medications Associated with Fall Risk Site: Long Island Jewish Medical Center — New Hyde Park, NY Advisors: Nicole M. Maisch, PharmD; Maha Saad, PharmD, CGP, BCPS |
| Presentations | |
|---|---|
| October 2017 |
Actemra [for use in treatment of systemic sclerosis] FCB Health - New York, NY Presented to strategic planning director, and strategic planning and creative teams |
| Posters | |
|---|---|
| December 2017 | Hassoun R, Barsoum M, Gayed M, Parmar K, Maisch N, Saad M. Retrospective Analysis of falls in 2015 and 2016 in patients taking antihypertensive medications. Poster session presented at: ASHP Midyear 2017; Orlando, FL. 12/04/2017 |
| December 2017 | Gayed M, Barsoum M, Hassoun R, Parmar K, Maisch N, Saad M. Retrospective Analysis on the Incidence of Falls in 2016 in patients taking medications associated with fall risk. Poster session presented at: ASHP Midyear 2017; Orlando, FL. 12/04/2017 |
| April 2017 | Hassoun R, Joseph V, Nasruddin S, Shah M. Street Knowledge: How Pharmacists can help combat Illicit Substance Abuse. Poster session presented at: SJU-SCCP Poster Showcase; Queens, NY. 04/28/2017 |
| December 2016 | Koshy A, Hassoun R, Barsoum M, Maisch N, Saad M. Retrospective Analysis on the Incidence of Falls in patients taking medications associated with fall risk. Poster session presented at: ASHP Midyear 2016; Las Vegas, NV. 12/06/2016 |
| Non-Refereed Publications | |
|---|---|
| January 2016 | Hassoun R, Park E. FDA Approves Praxbind, a reversal agent of the blood-thinning effects of Pradaxa. Coler-Carter Speciality Hospital and Nursing Facility Pharmacy Newsletter. 01/01/2016 |
| Professional Affliations and Leadership | |
|---|---|
| September 2016 - present | College of Psychiatric & Neurologic Pharmacists — Member |
| September 2016 - present | American College of Clinical Pharmacy — Member |
| June 2016 - present | New York State Council of Health-System Pharmacists — Member |
| June 2016 - present | New York City Society of Health-System Pharmacists — Member |
| June 2016 - present |
American Society of Health-System Pharmacists — Member
|
| November 2015 - present | Pharmacists Society of the State of New York — Member |
| November 2015 - present |
American Pharmacists Association — Member
|
| Honors and Awards | |
|---|---|
| January 2016 - present | Rho Chi: Academic Honor Society in Pharmacy — Member |
| July 2013 - present | St. John's University College of Pharmacy and Health Sciences Dean's List |
| September 2012 - May 2016 | St. John's University Scholastic Excellence Scholarship |
| Service Activities | |
|---|---|
| October 2013 | Briarwood Family Residence — Jamiaca, NY |
| April 2013 | Chapin Home for the Aging — Jamiaca, NY |
| November 2012 | New Life Pantry — Elmhurst, NY |
| September 2012 — November 2014 | The Ark Institute — Woodside, NY |


NDPluginStats¶
| author: | Mark Rivers, University of Chicago |
|---|
Contents
Overview¶
NDPluginStats computes the following.
- Basic statistics: minimum, maximum, mean, sigma, total, and net (background subtracted).
- Centroid, sigma, skewness and kurtosis values in the X and Y dimensions.
- Profiles of the array in the X and Y dimensions. A total of 8
profiles are calculated:
- The average profiles in the X and Y directions.
- The average profiles in the X and Y directions, for array elements greater than the centroid threshold.
- The profiles in the X and Y directions at the X and Y centroid position.
- The profiles in the X and Y directions at a user-defined X and Y cursor position.
- A histogram of the values (e.g. number of pixels versus intensity per pixel).
Each calculcation can be independently enabled and disabled. Calculations 1 and 4 can be perfomed on arrays of any dimension. Calculations 2 and 3 are restricted to 2-D arrays.
Time-series arrays of the basic statistics, centroid and sigma statistics can also be collected. This is very useful for on-the-fly data acquisition, where the NDStats plugin computes the net or total counts in the detector or an ROI. It can also be used to quickly plot a time-history of beam position or width, etc. The time series can also be used in a circular buffer mode where is continuously displays the last N values of the statistic.
NDPluginStats inherits from NDPluginDriver. The NDPluginStats class documentation describes this class in detail.
NDPluginStats.h
defines the following parameters. It also implements all
of the standard plugin parameters from
NDPluginDriver. The EPICS database
NDStats.template
provide access to these parameters, listed in the
following table. Note that to reduce the width of this table the
parameter index variable names have been split into 2 lines, but these
are just a single name, for example NDPluginStatsComputeStatistics
.
| Parameter Definitions in NDPluginStats.h and EPICS Record Definitions in NDStats.template | ||||||
|---|---|---|---|---|---|---|
| Parameter index variable | asyn interface | Access | Description | drvInfo string | EPICS record name | EPICS record type |
| Basic statistics | ||||||
| NDPluginStats ComputeStatistics |
asynInt32 | r/w | Flag to control whether to compute statistics for this array (0=No, 1=Yes). Not computing statistics reduces CPU load. Basic statistics computations are quite fast, since they involve mostly double precision addition, with 1 multiply to compute sigma, per array element. | COMPUTE_STATISTICS | $(P)$(R)ComputeStatistics, $(P)$(R)ComputeStatistics_RBV | bo, bi |
| NDPluginStats BgdWidth |
asynInt32 | r/w | Width of the background in pixels to use when computing net counts. 0=no background subtraction, so the net counts is the same as the total counts. | BGD_WIDTH | $(P)$(R)BgdWidth, $(P)$(R)BgdWidth_RBV | longout, longin |
| NDPluginStats MinValue |
asynFloat64 | r/o | Minimum value in any element in the array | MIN_VALUE | $(P)$(R)MinValue_RBV | ai |
| NDPluginStats MinX |
asynFloat64 | r/o | X pixel location of minimum value in the array. This is only valid for 2-D monochromatic arrays. | MIN_X | $(P)$(R)MinX_RBV | ai |
| NDPluginStats MinY |
asynFloat64 | r/o | Y pixel location of minimum value in the array. This is only valid for 2-D monochromatic arrays. | MIN_Y | $(P)$(R)MinY_RBV | ai |
| NDPluginStats MaxValue |
asynFloat64 | r/o | Maximum value in any element in the array | MAX_VALUE | $(P)$(R)MaxValue_RBV | ai |
| NDPluginStats MaxX |
asynFloat64 | r/o | X pixel location of maximum value in the array. This is only valid for 2-D monochromatic arrays. | MAX_X | $(P)$(R)MaxX_RBV | ai |
| NDPluginStats MaxY |
asynFloat64 | r/o | Y pixel location of maximum value in the array. This is only valid for 2-D monochromatic arrays. | MAX_Y | $(P)$(R)MaxY_RBV | ai |
| NDPluginStats MeanValue |
asynFloat64 | r/o | Mean value in the array | MEAN_VALUE | $(P)$(R)MeanValue_RBV | ai |
| NDPluginStats Total |
asynFloat64 | r/o | Sum (total) of all elements in the array. This is available as an ai record. The total counts are also available as epicsInt32 values in an mca record via callbacks to the drvFastSweep driver. The mca record is very useful for on-the-fly data acquisition of the total counts in the detector or in an ROI. | TOTAL | $(P)$(R)Total_RBV, $(P)$(R)TotalArray | ai, mca |
| NDPluginStats Net |
asynFloat64 | r/o | Net (background subtracted) total of all elements in the array. The background is calculated by determining the average counts per array element in a border around the array of width NDPluginStatsBgdWidth. This average background counts per element is then subtracted from all elements inside the array. If NDPluginStatsBgdWidth is ≤ 0 then no background is computed. The net counts is available as an ai record. The net counts is also available as epicsInt32 values in an mca record via callbacks to the drvFastSweep driver. The mca record is very useful for on-the-fly data acquisition of the net counts in the detector or in an ROI. | NET | $(P)$(R)Net_RBV, $(P)$(R)NetArray | ai, mca |
| NDPluginStats SigmaValue |
asynFloat64 | r/o | Sigma (standard deviation) of all elements in the array | SIGMA_VALUE | $(P)$(R)Sigma_RBV | ai |
| Centroid statistics | ||||||
| NDPluginStats ComputeCentroid |
asynInt32 | r/w | Flag to control whether to compute the centroid statistics (0=No, 1=Yes). The centroids are computed from the average row and column profiles above the centroid threshold. These calculations are also quite fast, since they just involve addition operations for each array element. | COMPUTE_CENTROID | $(P)$(R)ComputeCentroid, $(P)$(R)ComputeCentroid_RBV | bo, bi |
| NDPluginStats CentroidThreshold |
asynFloat64 | r/w | Threshold used when computing the centroid statistics. All array elements less than this value are set to 0 for computing the centroid statistics. It is important to set this value to ignore the “background” when computing the position and size of a “beam” image, for example. | CENTROID_THRESHOLD | $(P)$(R)CentroidThreshold, $(P)$(R)CentroidThreshold_RBV | ao, ai |
| NDPluginStats CentroidTotal |
asynFloat64 | r/o | Total mass, sum of all elements above the threshold. | CENTROID_TOTAL | $(P)$(R)CentroidTotal_RBV | ai |
| NDPluginStats CentroidX |
asynFloat64 | r/o | X centroid of the array above the centroid threshold. | CENTROIDX_VALUE | $(P)$(R)CentroidX_RBV | ai |
| NDPluginStats CentroidY |
asynFloat64 | r/o | Y centroid of the array above the centroid threshold. | CENTROIDY_VALUE | $(P)$(R)CentroidY_RBV | ai |
| NDPluginStats SigmaX |
asynFloat64 | r/o | Sigma X (width) of the distribution above the centroid threshold. | SIGMAX_VALUE | $(P)$(R)SigmaX_RBV | ai |
| NDPluginStats SigmaY |
asynFloat64 | r/o | Sigma Y (height) of the distribution above the centroid threshold. | SIGMAY_VALUE | $(P)$(R)SigmaY_RBV | ai |
| NDPluginStats SigmaXY |
asynFloat64 | r/o | This is the normalized value of sigmaXY, i.e. sigmaXY/(sigmaX * sigmaY). This is often called the correlation coefficient, r. It is zero if the X and Y profiles are not correlated, meaning that the distribution is not tilted with respect to the X and Y axes. | SIGMAXY_VALUE | $(P)$(R)SigmaXY_RBV | ai |
| NDPluginStats SkewX |
asynFloat64 | r/o | Skewness X (symmetry) of the distribution above the centroid threshold, in relation
to the center of mass. == 0, symmetric distribution < 0, distribution assymetric to the left > 0, distribution assymetric to the right |
SKEWX_VALUE | $(P)$(R)SkewX_RBV | ai |
| NDPluginStats SkewY |
asynFloat64 | r/o | Skewness Y (symmetry) of the distribution above the centroid threshold, in relation
to the center of mass. == 0, symmetric distribution < 0, distribution assymetric to the top > 0, distribution assymetric to the bottom |
SKEWY_VALUE | $(P)$(R)SkewY_RBV | ai |
| NDPluginStats KurtosisX |
asynFloat64 | r/o | Excess Kurtosis X (flatness) of the distribution above the centroid threshold == 0, Gaussian (normal) distribution < 0, distribution flatter than normal > 0, distribution more peaky than normal |
KURTOSISX_VALUE | $(P)$(R)KurtosisX_RBV | ai |
| NDPluginStats KurtosisY |
asynFloat64 | r/o | Excess Kurtosis Y (flatness) of the distribution above the centroid threshold. == 0, Gaussian (normal) distribution < 0, distribution flatter than normal > 0, distribution more peaky than normal |
KURTOSISY_VALUE | $(P)$(R)KurtosisY_RBV | ai |
| NDPluginStats Eccentricity |
asynFloat64 | r/o | Eccentricity, can take values from 0 to 1. 0 means a perfectly round object and 1 mean a line shaped object. | ECCENTRICITY_VALUE | $(P)$(R)Eccentricity_RBV | ai |
| NDPluginStats Orientation |
asynFloat64 | r/o | Orientation of the object, orientation of the “long” direction with respect to horizontal (x axis). | ORIENTATION_VALUE | $(P)$(R)Orientation_RBV | ai |
| Time-Series data | ||||||
| The time series is implemented by loading an instance of the NDPluginTimeSeries
plugin for each NDPluginStats plugin, and the time series control
uses records in NDTimeSeries.template. That documentation should be consulted for
an explanation of these records. The prefix and record name macro for the time-series
plugin records from NDTimeSeries.template is $(P)$(R)TS:. NOTE: The time-series plugin is often used with drivers which sample at a fixed well-defined time interval. This cannot be guaranteed with the statistics plugin, so the averaging time records and time axis waveform record from NDPluginTimeSeries are typically not used, and the statistics data are plotted against time point #, rather than actual time. The time-series waveform records for each statistic are defined in NDStats.template. |
||||||
| NDPluginTimeSeries, TSTimeSeries | asynFloat64Array | r/o | The time series data arrays of the basic statistics and centroid and sigma statistics described above. | TS_TIME_SERIES | $(P)$(R)XXX, where XXX is: TSMinValue TSMinX TSMinY TSMaxValue TSMaxX TSMaxY TSMeanValue TSSigma TSTotal TSNet TSCentroidX TSCentroidY TSSigmaX TSSigmaY TSSigmaXY TSSkewX TSSkewY TSKurtosisX TSKurtosisY TSEccenticity TSOrientation TSTimestamp |
waveform |
| X and Y Profiles | ||||||
| NDPluginStats ComputeProfiles |
asynInt32 | r/w | Flag to control whether to compute the profiles for this array (0=No, 1=Yes). | COMPUTE_PROFILES | $(P)$(R)ComputeProfiles, $(P)$(R)ComputeProfiles_RBV | bo, bi |
| NDPluginStats ProfileSizeX |
asynInt32 | r/w | Number of array elements in the X profiles. | PROFILE_SIZE_X | $(P)$(R)ProfileSizeX_RBV | longin |
| NDPluginStats ProfileSizeY |
asynInt32 | r/w | Number of array elements in the Y profiles. | PROFILE_SIZE_Y | $(P)$(R)ProfileSizeY_RBV | longin |
| NDPluginStats CursorX |
asynInt32 | r/w | X position of a user-defined cursor for profiles. | CURSOR_X | $(P)$(R)CursorX, $(P)$(R)CursorX_RBV | longout, longin |
| NDPluginStats CursorY |
asynInt32 | r/w | Y position of a user-defined cursor for profiles. | CURSOR_Y | $(P)$(R)CursorY, $(P)$(R)CursorY_RBV | longout, longin |
| NDPluginStats CursorVal |
asynFloat64 | r/o | Value of the pixel at the current cursor position. | CURSOR_VAL | $(P)$(R)CursorVal | ai |
| NDPluginStats ProfileAverageX |
asynFloat64Array | r/o | Profile of the average row in the array, i.e. the sum of all rows in the array divided by the number of rows. | PROFILE_AVERAGE_X | $(P)$(R)ProfileAverageX_RBV | waveform |
| NDPluginStats ProfileAverageY |
asynFloat64Array | r/o | Profile of the average column in the array, i.e. the sum of all columns in the array divided by the number of columns. | PROFILE_AVERAGE_Y | $(P)$(R)ProfileAverageY_RBV | waveform |
| NDPluginStats ProfileThresholdX |
asynFloat64Array | r/o | Same as ProfileAverageX except that all array elements less than CentroidThreshold are set to zero when computing the average. | PROFILE_THRESHOLD_X | $(P)$(R)ProfileThresholdX_RBV | waveform |
| NDPluginStats ProfileThresholdY |
asynFloat64Array | r/o | Same as ProfileAverageY except that all array elements less than CentroidThreshold are set to zero when computing the average. | PROFILE_THRESHOLD_Y | $(P)$(R)ProfileThresholdY_RBV | waveform |
| NDPluginStats ProfileCentroidX |
asynFloat64Array | r/o | X profile through the array in the row defined by CentroidY. | PROFILE_CENTROID_X | $(P)$(R)ProfileCentroidX_RBV | waveform |
| NDPluginStats ProfileCentroidY |
asynFloat64Array | r/o | Y profile through the array in the column defined by CentroidX. | PROFILE_CENTROID_Y | $(P)$(R)ProfileCentroidY_RBV | waveform |
| NDPluginStats ProfileCursorX |
asynFloat64Array | r/o | X profile through the array in the row defined by CursorY. | PROFILE_CURSOR_X | $(P)$(R)ProfileCursorX_RBV | waveform |
| NDPluginStats ProfileCursorY |
asynFloat64Array | r/o | Y profile through the array in the row defined by CursorX. | PROFILE_CURSOR_Y | $(P)$(R)ProfileCursorY_RBV | waveform |
| Array histogram | ||||||
| NDPluginStats ComputeHistogram |
asynInt32 | r/w | Flag to control whether to compute the histogram for this array (0=No, 1=Yes). Not computing the histogram reduces CPU load. | COMPUTE_HISTOGRAM | $(P)$(R)ComputeHistogram, $(P)$(R)ComputeHistogram_RBV | bo, bi |
| NDPluginStats HistSize |
asynInt32 | r/w | Number of elements (bins) in the histogram | HIST_SIZE | $(P)$(R)HistSize, $(P)$(R)HistSize_RBV | longout, longin |
| NDPluginStats HistMin |
asynFloat64 | r/w | Minimum value for the histogram. All values less than this will be counted in HistBelow. | HIST_MIN | $(P)$(R)HistMin, $(P)$(R)HistMin_RBV | ao, ai |
| NDPluginStats HistMax |
asynFloat64 | r/w | Maximum value for the histogram. All values greater than this will be counted in HistAbove. | HIST_MAX | $(P)$(R)HistMax, $(P)$(R)HistMax_RBV | ao, ai |
| NDPluginStats HistBelow |
asynInt32 | r/o | Count of all values less than HistMin. | HIST_BELOW | $(P)$(R)HistBelow_RBV | longin |
| NDPluginStats HistAbove |
asynInt32 | r/o | Count of all values greater than HistMax. | HIST_ABOVE | $(P)$(R)HistAbove_RBV | longin |
| NDPluginStats HistEntropy |
asynFloat64 | r/o | Entropy of the image. This is a measure of the sharpness of the histogram, and is often a useful figure of merit for determining sharpness of focus, etc. It is defined as -SUM(BIN[i]*log(BIN[i]), where the sum is over the number of bins in the histogram and BIN[i] is the number of elements in bin i. | HIST_ENTROPY | $(P)$(R)HistEntropy_RBV | ai |
| NDPluginStats HistArray |
asynFloat64Array | r/o | Histogram array, i.e. counts in each histogram bin. | HIST_ARRAY | $(P)$(R)Histogram_RBV | waveform |
| NDPluginStats HistXArray |
asynFloat64Array | r/o | Histogram X-axis array, i.e. minimum intensity in each histogram bin. | HIST_X_ARRAY | $(P)$(R)HistogramX_RBV | waveform |
If the values of CentroidThreshold, CursorX, or CursorY are changed then the centroid and profile calculations are performed again immediately on the last array collected. Thus updated centroid statistics and profiles can be displayed even when new arrays are not being acquired. These calculations are only performed when enabled by ComputeCentroid and ComputeProfiles.
Configuration¶
The NDPluginStats plugin is created with the NDStatsConfigure command, either from C/C++ or from the EPICS IOC shell.
NDStatsConfigure(const char *portName, int queueSize, int blockingCallbacks,
const char *NDArrayPort, int NDArrayAddr,
int maxBuffers, size_t maxMemory,
int priority, int stackSize)
For details on the meaning of the parameters to this function refer to the detailed documentation on the NDStatsConfigure function in the NDPluginStats.cpp documentation and in the documentation for the constructor for the NDPluginStats class.
Screen shots¶
The following MEDM screen provides access to the parameters in NDPluginDriver.h and NDPluginStats.h through records in NDPluginBase.template and NDStats.template.
The following MEDM screen shows the average profile of an image in the X direction.
The following MEDM screen shows the profile of an image in the Y direction at the location of the user-defined cursor.
The following MEDM screen shows the histogram of intensities of an array.
The following MEDM screen combines many parameters for 5 NDPluginStats plugins on a single screen.
The following MEDM screen shows the the total counts from the Stats1 plugin. This is the total counts as a function of time.
The following MEDM screen shows the Y centroid as a function of time from the Stats1 plugin.
The following MEDM screen shows all of the basic statistics as a function of time from the Stats1 plugin.
The following MEDM screen shows all of the centroid statistics as a function of time from the Stats1 plugin.


Thank you for your interest in the Stanford problem-solving study. This study examines how your academic and social experiences influence problem-solving. You must be 18-25 to participate in this study. First, you will answer several demographic questions to determine whether you are eligible to participate in the study. If you are not eligible to participate, you will receive $.10 for your time and be exited from the study. If you are eligible to participate in the study, you will automatically progress to the study. You will be bonused $1.00 upon completion of the study. During the study, you will be asked to solve several word puzzles and to think about yourself and others who are close to you.
Legal information: By answering the following questions, you are participating in a study being performed by researchers in the Stanford Department of Psychology. If you have questions about this research, please contact Lucy Zhang at<EMAIL_ADDRESS>You must be at least 18 years old to participate. Your participation in this research is voluntary. You may decline to answer any or all of the following questions. You may decline further participation, at any time, without adverse consequences. Your anonymity is assured; the researchers who have requested your participation will not receive any personally identifying information about you.
In this task, you will complete a series of word puzzles commonly referred to as "anagrams." An anagram is a word that is formed by rearranging ALL of the letters of another word. For this task, please complete as many anagrams as you can. You will have 5 minutes to do this task. After 5 minutes, the survey will move on.
If you are not sure of the right answer, please make your best guess and to move on to the next question.
Once you click "Next" to move to a new anagram, you will NOT be able to return to a previous page.
Sample Items:
Example 1: lasting
Answer: salting
Example 2: swing
Answer: wings
Compared to others who have done this part of the Word Puzzle Task in the past, you have scored:
WELL BELOW AVERAGE
Overall, how do you feel about how you did on the task?
Extremely Displeased
Very Displeased
Somewhat Displeased
Neutral
Somewhat Pleased
Very Pleased
Extremely Pleased
Overall, how well do you think you think you did on the task?
"On the task, I did..."
Extremely Badly
Very Badly
Somewhat Badly
Neither Badly Nor Well
Somewhat Well
Very Well
Extremely Well
How many anagrams do you think you solved out of 12?
Please note, once you continue on to a new anagram, you will NOT be able to return to a previous page.
You have a maximum of 5 minutes to do 12 anagrams. At the end of 5 minutes, the survey will continue on. Please use your time wisely.
Sample Items:
Example 1: lasting
Answer: salting
Example 2: swing
Answer: wings
Please click "Continue" to begin the next task.
Overall, how do you feel about how you did on the task?
Extremely Displeased
Very Displeased
Somewhat Displeased
Neutral
Somewhat Pleased
Very Pleased
Extremely Pleased
Overall, how well do you think you think you did on the task?
"On the task, I did..."
Extremely Badly
Very Badly
Somewhat Badly
Neither Badly Nor Well
Somewhat Well
Very Well
Extremely Well
How many anagrams do you think you solved out of 12?
Where were you born?
City:
State: Country:If you were not born in the U.S., at what age did you begin living in the U.S.?
What languages, if any, do you speak other than English?
 (City, State, Country)
Where was your father born? (City, State, Country)
What is your mother's ethnic or racial background?
African American/Black
Caucasian/White
East Asian
Hispanic/Latino/Latina
Middle Eastern
Mixed
Native American
Pacific Islander
South Asian
What is your father's ethnic or racial background?
African American/Black
Caucasian/White
East Asian
Hispanic/Latino/Latina
Middle Eastern
Mixed
Native American
Pacific Islander
South Asian
What is the highest level of education your mother has completed?
Some high school
Completed high school
Some college/Associate's degree
Bachelor's degree
MA, MD, PhD, or other professional degree
What is the highest level of education your father has completed?
Some high school
Completed high school
Some college/Associate's degree
Bachelor's degree
MA, MD, PhD, or other professional degree
When was the last time you permanently lived with your mother?

I have never lived with my father
I currently live with my father
0-1 years ago
1-2 years ago
2-3 years ago
3-4 years ago
4-5 years ago
More than 5 years ago
What is your socioeconomic level?
Lower income
Lower middle income
Middle income
Upper middle income
Upper income
I don't know
Approximately what is your annual combined household income?
Less than $10,000
$10,001-$20,000
$20,001-$30,000
$30,001-$40,000
$40,001-$50,000
$50,001-$60,000
$60,001-$70,000
$70,001-$80,000
$80,001-$90,000
$90,001-$100,000
Over $100,001
What do you think the study was about?
Sometimes participants are suspicious when they participate in surveys like this one. Were you suspicious at any time during the study? If yes, why?
Was there anything strange or difficult to answer in the study? If so, please describe what it was and why.
Did you read the instructions and complete the HIT accordingly?
Yes
No
I was confused
Did you use an internet tool or any other outside sources to complete the anagrams at any time?
 There was some deception used in this study so that the aim would not affect your responses. We wanted to investigate how thinking of oneself or one's mother may motivate participants following failure feedback, and whether there are cultural differences in motivation following failure. The failure feedback you received was not real, and your anagram puzzles were not scored at any time in this study. I want to remind you that your data is completely confidential and that your responses will help us learn more about motivation in response to failure feedback. Please do not reveal the nature of this study at any time, as we are still collecting responses from other Mechanical Turk participants. Thank you!
Your responses will automatically be submitted to Mechanical Turk with no need to input a code for submission.


Yet Another Url Shortner
Just put your long link in here, get another short one, no more link headaches :)
Your mini url is => {{ messages.success }}


I am a front-end developer at EY-GDS, Gurugram, India. I work on Angular and Sharepoint here. I joined EY in November 2018. I have learnt a lot since then and I am still learning.
I have completed my B.Tech. in Electronics and Communication Engineering (ECE) from Bharati Vidyapeeth's College of Engineering, New Delhi in 2018.
I have mentored 50+ students and professionals. I have participated as a mentor in GSSoC'19 (GirlScript Summer of Code). I have taught Java, Python, C and Data Structures online through various mediums like WhatsApp, TeamViewer, Skype etc. Other than coding, I also love to paint and sketch. Please scroll down to find different apps/sites where we can connect.
To see the previous version of my portfolio, please click on this link: sakshishreya.github.io/portfolio-2018.


Typealiases
The following typealiases are available globally.
-
String that contains expression pattern, e.g.
ie:%d<5
,exp:^1$
.Declaration
Swift
internal typealias ExpressionPattern = String
-
Represent key-value pair of Key and Value from .strings file.
Declaration
Swift
internal typealias KVDict = Dictionary<Key, Value>
-
Represents key from .strings file
Declaration
Swift
internal typealias Key = String
-
Representes value from .strings file
Declaration
Swift
internal typealias Value = String
-
Type that contains two dictionaries.
base - for Base localization
pref - for preferred language localization
It contains
KVDict
instanes so every one has key and value.Declaration
Swift
internal typealias BasePrefDicts = (base: KVDict, pref: KVDict)
-
Type that represents pattern with regular expression
Declaration
Swift
internal typealias RegexPattern = String
-
Defines language selected on the user’s device e.g. en, pl, ru. Language can be also Base. It used used for finding right Localizable.strings and Expression.strings and to load built-in shared expressions.
Declaration
Swift
internal typealias Language = String
-
Handy typealias that can be used instead of long
Swifternalization
Declaration
Swift
public typealias I18n = Swifternalization


Creator Mode
Sharpening the knives
3 May 2015
The kitchen analogy that appears here is an interesting one. When I talk to home cooking enthusiasts, there's a lot of discussion of recipes. Chefs don't talk about recipes, though. Chefs talk about knives.
Why is that? Is it that most chefs have moved past the notion of recipes? Have they just memorized everything?
Nope. Sure, chefs have memorized a few sets of ingredients, the classics - mire poix is carrot/celery/onion. Bechamel is flour, butter, milk. Veloux is roux and stock. But chefs have a FEEL for food. They don't measure out recipes because they've done it so many times it's automatic.
What chefs DO when they're cooking is taste. Taste, taste, taste. Nothing goes out that hasn't been tasted. Taste - needs salt. Taste - add parsley. Taste - needs acid. You start with a vision of what the dish should accomplish, you build the dish, part by part, constantly testing the parts, honing them, until you're ready to plate. The dish gets constructed, adjusted, garnished.
And when they're done, the most interesting thing they like to talk to each other about is not how good their Allemande sauce is, or the amount of salt they put in their demi-glace. They talk about their knives.
There is nothing that DBC is going to teach me that I cannot learn on my own. I'm going to repeat that. Nothing that DBC is going to teach me is something that I cannot learn on my own.
Coding is not a secret handshake - I didn't pay my tuition to join a country club.  The point of being here, at DBC, is to have help on the way, to have a strong, motivating force pushing me to learn all the things I need to learn, with momentum and support.
To me, the way to attack my time at DBC shouldn't be about deference to someone's idea of how learning should happen. If anything, I should be looking constantly for the man behind the curtain. Not so I can get upset about whether I got my money's worth or not, but so that I walk away from DBC understanding all of it - the construct that was built to help me learn what I did. DBC is a construct, slapped together by people who think they can build a place, a method, for teaching a whole lot of coding in a really short time. We owe it to ourselves to disassemble that construct, peer at the pieces, see how it works, and observe how it works on us.
Here's a project - look at this alarm clock, take it apart, put it back together again. How does it work? How could it do that work better? Now look at this code. How does it work? Take it apart. Nothing should be off limits in this mindset - even our own learning experience, even the school we attend, the culture we live in, the world we inhabit. Let's deconstruct everything. To start, we'll probably need some really sharp knives.


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App Engine Python SDK
v1.6.9 rev.445
The Python runtime is available as an experimental Preview feature.
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Public Member Functions | |
| def | __init__ |
| def | GetPreCallHooks |
| def | GetPostCallHooks |
| def | ReplaceStub |
| def | RegisterStub |
| def | GetStub |
| def | MakeSyncCall |
| def | CancelApiCalls |
Container of APIProxy stubs for more convenient unittesting. Stubs may be either trivial implementations of APIProxy services (e.g. DatastoreFileStub, UserServiceStub) or "real" implementations. For unittests, we may want to mix and match real and trivial implementations of services in order to better focus testing on individual service implementations. To achieve this, we allow the client to attach stubs to service names, as well as define a default stub to be used if no specific matching stub is identified.
| def google.appengine.api.apiproxy_stub_map.APIProxyStubMap.__init__ | ( | self, | |
default_stub = None |
|||
| ) |
Constructor. Args: default_stub: optional stub 'default_stub' will be used whenever no specific matching stub is found.
| def google.appengine.api.apiproxy_stub_map.APIProxyStubMap.GetPostCallHooks | ( | self | ) |
Gets a collection for all precall hooks.
| def google.appengine.api.apiproxy_stub_map.APIProxyStubMap.GetPreCallHooks | ( | self | ) |
Gets a collection for all precall hooks.
| def google.appengine.api.apiproxy_stub_map.APIProxyStubMap.GetStub | ( | self, | |
| service | |||
| ) |
Retrieve the stub registered for the specified service. Args: service: string Returns: stub Returns the stub registered for 'service', and returns the default stub if no such stub is found.
| def google.appengine.api.apiproxy_stub_map.APIProxyStubMap.MakeSyncCall | ( | self, | |
| service, | |||
| call, | |||
| request, | |||
| response | |||
| ) |
The APIProxy entry point. Args: service: string representing which service to call call: string representing which function to call request: protocol buffer for the request response: protocol buffer for the response Returns: Response protocol buffer or None. Some implementations may return a response protocol buffer instead of modifying 'response'. Caller must use returned value in such cases. If 'response' is modified then returns None. Raises: apiproxy_errors.Error or a subclass.
| def google.appengine.api.apiproxy_stub_map.APIProxyStubMap.RegisterStub | ( | self, | |
| service, | |||
| stub | |||
| ) |
Register the provided stub for the specified service. Args: service: string stub: stub
| def google.appengine.api.apiproxy_stub_map.APIProxyStubMap.ReplaceStub | ( | self, | |
| service, | |||
| stub | |||
| ) |
Replace the existing stub for the specified service with a new one. NOTE: This is a risky operation; external callers should use this with caution. Args: service: string stub: stub


Classes
AbstractDirective
ActionDirective
ActionErrorDirective
ActionMessageDirective
AnchorDirective
AutocompleterDirective
BeanDirective
CheckBoxDirective
CheckBoxListDirective
ComboBoxDirective
ComponentDirective
DateDirective
DateTimePickerDirective
DivDirective
DoubleSelectDirective
FieldErrorDirective
FileDirective
FormDirective
HeadDirective
HiddenDirective
I18nDirective
IncludeDirective
InputTransferSelectDirective
LabelDirective
OptGroupDirective
OptionTransferSelectDirective
ParamDirective
PasswordDirective
PropertyDirective
PushDirective
RadioDirective
ResetDirective
SelectDirective
SetDirective
SubmitDirective
TabbedPanelDirective
TextAreaDirective
TextDirective
TextFieldDirective
TokenDirective
TreeDirective
TreeNodeDirective
UpDownSelectDirective
URLDirective
WebTableDirective |


Drawings
Drawing exercises which were not directly related to one of my design projects
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Caption Text
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Caption Five
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N50/N90 is a measure of how fractionated assemblies are: 50%/ 90% of the assembly is made up of contigs of Length N50/N90-length or longer. You need N50/N90-number contigs to get 50%/90% of the total assembly length.