{{town.title}}
this is loop : {{pocket}}
THIS IS ORIGINAL STATIC DIRECTIE CONTENT BETWEEN DIRECTIVE AND IT IT NOT DISPLAYED IF transclude:true IS NOT SET;
it allows you to append a markup from directive that was there before the directive has been renderd and changed its content
transclude(function(transcludeEl) { callback }) - it creates clone so you can use as many times as needed
Ilfracombe /ˈɪlfrəkuːm/ is a seaside resort and civil parish on the North Devon coast, England with a small harbour, surrounded by cliffs.
The parish stretches along the coast from 'The Coastguard Cottages' in Hele Bay toward the east and 4 miles along The Torrs to Lee Bay toward the west. The resort is hilly and the highest point within the parish boundary is at 'Hore Down Gate', 2 miles inland and 860 feet (270 m) above sea level.
append(transclude()) in a controller for a directive
this is transclude() content basically what is inside my-card-controller /my-card-controller
parent and child directive and scope between them; so the child knows about parent variables
Ilfracombe /ˈɪlfrəkuːm/ is a seaside resort and civil parish on the North Devon coast, England with a small harbour, surrounded by cliffs.
The parish stretches along the coast from 'The Coastguard Cottages' in Hele Bay toward the east and 4 miles along The Torrs to Lee Bay toward the west. The resort is hilly and the highest point within the parish boundary is at 'Hore Down Gate', 2 miles inland and 860 feet (270 m) above sea level.
using ng-transclude AS TAG FOR PLACMENT FOR TRASCLUDE CONTENT;
this is content that is being transcluded in atribute ng-trasclude in this case
using ng-transclude AS TAG FOR PLACMENT FOR TRASCLUDE CONTENT;
{{p}}
This is part that is being transcluded by ng-trasclude attribute or transclude() so everything between <my-card-nested-template></my-card-nested-template>
transcludedScope.$destroy(); - when you need to remove some part of directive but not entire directive as this example
Ilfracombe /ˈɪlfrəkuːm/ is a seaside resort and civil parish on the North Devon coast, England with a small harbour, surrounded by cliffs.
The parish stretches along the coast from \'The Coastguard Cottages\' in Hele Bay toward the east and 4 miles along The Torrs to Lee Bay toward the west. The resort is hilly and the highest point within the parish boundary is at \'Hore Down Gate\', 2 miles inland and 860 feet (270 m) above sea level.
defining template in directive controller and using $transclude($scope, function(transEl) {$element.append(transEl);}); to render in Directive Controller
this is loop : {{pocket}}
proccess directive based on click event
this is template 1 to be transluded script template wont work in this case
utilizazing forEach loop and transclude() method;
THIS IS ORIGINAL CONTENT OR DIRECTIVE BETWEEN DIRECTIVE TAGS in this case my-show-each atribute div content>
using ng-transclude AS TAG FOR PLACMENT FOR TRASCLUDE CONTENT;
{{p}}
This is part that is being transcluded by ng-trasclude attribute or transclude() so everything between <my-card-nested-template></my-card-nested-template>


Hong Kong Open postponed due to protest violence: organisers
HONG KONG: The Hong Kong Open golf tournament has been postponed after violence from anti-government protests escalated this week, the Asian Tour and European Tour said on Wednesday.
"Regretfully the European Tour, in conjunction with our tournament co-sanctioning partner at the Asian Tour, has taken the decision to postpone next week's Hong Kong Open, scheduled for the Hong Kong Golf Club, Fanling from November 28 to December 1," they said in a joint statement.
"An attempt will be made to reschedule the tournament to early 2020."
(Reporting by Rohith Nair in Bengaluru; Editing by Andrew Heavens)


Understanding your results:
To view your results, hover the mouse pointer over various points on the chart.
Variables:
Panel: number of solar panels (x100,000)
Turbine: number of wind turbines
PercentGoal: by implementing the suggested number of solar panels and wind turbines, this is the percentage of energy you can expected to be sourced from renewables
Cost: projected cost of implementing the suggested number of solar panels and wind turbines in millions (USD)
Recall the red line indicates the limitation of land availability. Everything below and to the left of the red line is a viable option based off of the input you have provided.


Browse loans that have been screened by our credit analysis formula
Select individual loans to build your target portfolio based on your criteria.
Starting Earning solid and passive monthly returns.
| Highest Grade Credit | Aaa |
| Very High Grade Credit | Aa1, Aa2, Aa3 |
| High Grade Credit | A1, A2, A3 |
| Good Credit Grade | Baa1, Baa2, Baa3, Baa4 |
| Speculative Credit Grade | Ba1, Ba2, Ba3 |
| Very Speculative Credit | B1, B2, B3 |


Imagine Team
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--- layout: default title: Some Talks I've Given ---
From 2009-2012 I went to cool places around the world and talked about computer stuff.
July 30, 2011An animated gif filled discussion of how GitHub release code quickly and easily dozens of times per day.
A fun, 10 minute talk about config management and organizational dysfunction. Filled with images from Black And WTF.
In the fall of 2009 I gave a talk that compared building businesses around things people love. It shows off a few indepdent hip hop artists and how they built a name for themselves. I gave examples of the growth of independent labels without large scale promotion and liken it to the VC saturated startup scene. The idea was to get people to think that building something they believed in and were proud of was completely atainable if you build your career around open source technologies.


Using Analytics
At the beginning of the quarter, I set up a Google Analytics account with one Property: this User Science Journal.
I added the tracking code below the head tag to each page of this website as it was created.
For this assigment, I reviewed the Google Analytics reports for the week of May 12 through May 19.
Predictions:
Because I haven't excluded myself from the data being collected yet, and based on the assumption that the other visitors to my site are fellow students and some people I asked to click around, I made a few predictions:
- Most visitors will be in the Seattle area
- Expect an even mix of male and female
- Mostly ranging from age 30 to 50
- Visitors are accessing the site through links sent via email or text
- Mostly viewing the site via desktop
- Chrome is browser most likely used
Analytics Reports
Audience Overview
The Audience Overview report shows 21 total users this week including 9 new users.
When the "Day" tab is selected, the graph shows a low of 2 users on May 15 and a high of 10 on May 16.
On May 16, I was updating and viewing the site and had also sent an email to potential new users for "clicks", explaining why this day saw a little bit more traffic.
The Report for May 16 shows a breakdown by time and number of views.
Demographics
Location
Most visitors to the site, 19 out of 23, accessed the site in Washington State. (2 new visitors have appeared while I've been working on this post.) 19 of these users are located in Burien/Seattle. I used multiple devices and browsers to view this site over the week from both Burien and Seattle so I think most of these are me.
In checking to see how 10 visitors in Seattle got to the site, analytics shows 5 direct and 5 through Canvas. (Thanks to my fellow students in Seattle for clicking around!)
Age and Gender
Sooo... it was brought to my attention that the data I was looking at was not attached to my website. Doh! I do not have access to this information with the account that I have.
I have read that the way GA determines age and gender seems to depend on what information users provide. If users have not provided this information to Google, GA makes a best guess.
Technology
Desktop vs. Mobile
Analytics showed that 19 of the 23 visitors accessed the site via desktop, 4 via mobile devices.
What kind of Mobile?
3 of the mobile devices were Apple iPhones, the other was a Google Nexus 5.
Browser
14 of the visitors used Chrome, Safari was the next used browser with 4.
Other Data
Overall 16 users got to the site directly, either by typing in the URL or clicking a link I sent them, and 7 got to the site by referral.
Under Site Content and Page View, Post 6 had 236 page views and 13 unique page views. I think this was mostly me working on my assignment on May 12, although I'm surprised at the amount of times I must have viewed this page.
Conclusion
Google Analytics seems like a powerful tool for analyzing in detail how users are accessing and moving around a website. I have a lot more to learn about it.
For improving usability, being able to see how visitors are entering, exiting, and moving around the site, seems especially valuable.
It will be helpful to exclude myself from future data collection and to invite more people to click around the site in order to gather more useful information.


First Name:
Last Name:
Gender :
Male
Female
Other
Email:
Password:
Confirm Password:
Insitution
Submit


| Film ID | Film Name | Film Genre | Film Studio | Film Director | Film Producer | Film Lead Actor |
|---|---|---|---|---|---|---|
| {{Table.FILM_ID}} | {{Table.FILM_NAME}} | {{Table.FILM_GENRE}} | {{Table.FILM_STUDIO}} | {{Table.FILM_DIRECTOR}} | {{Table.FILM_PRODUCER}} | {{Table.FILM_LEAD}} |
| Film ID | Film Name | Film Genre | Film Studio | Film Director | Film Producer | Film Lead Actor |
|---|---|---|---|---|---|---|
| {{row.FILM_ID}} | {{row.FILM_NAME}} | {{row.FILM_GENRE}} | {{row.FILM_STUDIO}} | {{row.FILM_DIRECTOR}} | {{row.FILM_PRODUCER}} | {{row.FILM_LEAD}} |


{% load static %}
What does this team member to? Keep it short! This is also a great spot for social links!
What does this team member to? Keep it short! This is also a great spot for social links!
What does this team member to? Keep it short! This is also a great spot for social links!


{% extends "base.html" %} {% block content %}
Tinydoor helps retailers track customer satisfaction using computer vision and deep learning.
See how in 5 minutes!
Brick and mortar business owners need to be able to listen to customers, with the least amount of bias as possible.
Tinydoor allows business owners to be able to:
Tinydoor can be applied to any industry that still relies upon providing physical experiences - from airports to hotels and hospitals, why not see what Tinydoor will do for you?
We believe that people should not have to sacrifice their privacy in order to enjoy AI-enabled products.
At Tinydoor, the videos we process can be of 1 person or 100 - and the AI model can theoretically still provide a score, without pinning it down to any specific individual.
Tinydoor does not reveal the identities of the customers found in the videos it processes, deciding instead to compute a lump sum score for the general sentiment of the group.
We hope to blaze a trail in the future of AI businesses that are both useful and ethical.
If you agree with this mission, we welcome your contributions on our GitHub repository!


{% block subject %}Maid Details {{maids.name}}{% endblock %} {% block html %} {% load ad_rotator_tags %}
I am writing this letter to recommend {{maids.name}} for the position of Housemaid at your home. I am sure that she will be a proven asset to your family.
I a confident that {{maids.name}} shall definitely turn out to be a very valuable asset to your home like she was to ours. Please feel free to contact me if you’d like supplementary information regarding her qualifications and skils.
Agency Name: {{maids.agency.agency_name}}
{% endif %} {% if maids.agency.address %}Address: {{maids.agency.address}}
{% endif %} {% if maids.agency.office_no %}Phone Number: {{maids.agency.office_no}}
{% endif %} {% if maids.agency.fax %}Fax: {{maids.agency.fax}}
{% endif %} {% if maids.agency.email %}E-mail : {{maids.agency.email}}
{% endif %} {% if maids.agency.website %}Website: {{maids.agency.website}}
{% endif %}Best regards,
{{maids.agency.agency_name}} {% endblock %}


{{extend "layout.html"}}
{{=T("The Building Asssesments module allows building safety to be assessed, e.g. after an Earthquake.")}}


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| DOSE: |
|
insufflated |
2C-E |
(powder / crystals) |
Before I start I must tell everyone….2ce is more powerful than LSD, it is as no where NEAR as good (nothing really is) as LSD but its effects are much more insane, not in a good way.
I had heard that my friend Drew had ordered 2ce online and it was some obscure hallucinogen. My friend Taylor had done something like 40mg one night (way over what your suppose to do) and he claimed he had lost his mind for like 6 hours. So wanting to experience it for myself we went to Drew's to buy some. When we arrived he opened the door, pale as a ghost and said nothing other than 'I just died.' He acted foolish and couldn't comprehend what we were saying when we were trying to get the 2ce from him he just kept saying that he was dead and that he could not release it. Finally we got him to let us 'see his wallet' (he was holding the 2ce in his wallet.)
We proceeded to take the 2ce out it was in a little manila envelope with a little baggie inside which contained the powder. I poured out 2 huge lines (which were estimated at 25mg) without knowing anything about the drug not even how much this was or how much I should take. My friends said 'Dan, don’t do that much only do half one of those lines.' I responded 'I have done allot of drugs this is nothing.' As soon as I snorted the lines we left and about 2 minutes after snorting it I asked to go home because I felt it setting in and for some reason wanted to be home. I lived up the street from Drew so I got home like 5 minutes after the lines had been ingested.
I felt very insecure and the threshold was HEAVY. I then felt extreme nausea and my nostrils burned as they always do when snorting 2ce. I must have puked about 15 times then just kept dry heaving. After about 20 minutes of being sick I felt okay. I curled up into a ball on my mattress and felt very cold my brain could not make sense of anything. When I was puking I puked out of my window and I still functioned enough to grab a role of paper towels and clean that up at like midnight. I don’t remember much but I remember just wanting the feelings I had to end for like 6 hours then I drank a little vodka when my trip was coming down and fell asleep.
When we were at Drew’s I had made a little take home baggie of 2ce for myself that consisted of about 10 mg. I never learn my lesson with any drug so after recovering from the night before at about 5 p.m. I opened the little baggie and snorted it in my bathroom. This time it was a normal dosage but my nose still felt like I had snorted glass. I turned around and puked 3 times then felt great. I had a very smooth trip. Then and from that point on whenever I've taken 2ce it makes me feel like someone put a substance which makes objects easy to move in my thoughts, such as grease or Vaseline. I realized all the wonders of the world and just loved being alive. I went out and just looking at trees and seeing the sky and smelling the air made me feel wonderful. Plus all of my thoughts came and went so smoothly it was heavenly.
A couple days after that we got my friend Glen some 2ce and just like me he thought he could handle it even though we told him not to do that much he snorted about 20 mg. 5 minutes after snorting he laid on his back of my friends finished basement. Snots began running down his face like water.  He then became disoriented and laughing hysterically. He then began puking. I counted his puking up to 20 times then I left the room and he continued to puke.
Once his sickness got over he sat on the couch and had no recollection of anything or anyone. He kept asking us who we were and where he was. We would try to talk to him and he would just keep repeating what? Who are you? And where am I? I left before he could snap back into reality because I was also tripping on it and that was too much for me so I went outside and looked at some trees then listened to some music and enjoyed another nice smooth trip. After that trip glen said he would never do it again and to this day he has not. I will trip on it again if it ever comes around.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


Mahatma Gandhi
Born and raised in a Hindu family in coastal Gujarat, western India, Gandhi was trained in law at the Inner Temple, London, and called to the bar at age 22 in June 1891. After two uncertain years in India, where he was unable to start a successful law practice, he moved to South Africa in 1893 to represent an Indian merchant in a lawsuit. He went on to stay for 21 years. It was in South Africa that Gandhi raised a family, and first employed nonviolent resistance in a campaign for civil rights. In 1915, aged 45, he returned to India. He set about organising peasants, farmers, and urban labourers to protest against excessive land-tax and discrimination. Assuming leadership of the Indian National Congress in 1921, Gandhi led nationwide campaigns for easing poverty, expanding women's rights, building religious and ethnic amity, ending untouchability, and above all for achieving Swaraj or self"
Read more about this incredible human being here!


Struggling family devastated after £1,100 Christmas vouchers sent to wrong address
The police are investigating the alleged theft of gift vouchers after they were delivered to the family's old address
by Jamie BarlowA struggling family almost had their Christmas ruined after £1,100-worth of vouchers were delivered to the wrong address.
The Holden family, from Nottinghamshire, had been saving all year round for Park Christmas Savings Vouchers, which helps them budget for the festive season.
Dad Sean Holden, who has been out of work for several years as he has multiple sclerosis, said a number of family members had all chipped in for the vouchers, including his 88-year-old nan.
He told Nottinghamshire Live : "People do it who are struggling.
"We don't have a lot of money and family like my nan, she's 88, she's a pensioner, she's done it with us for a few years.
"She always gives us £20 a month when she comes and sees us or I see her.
"Then coming up towards Christmas it means that she's got £200-worth of vouchers that she can buy Christmas presents with it for her grandkids and her great-grandkids."
Mr Holden said the money was collected by his wife Sandie and then paid to the company.
Mr Holden, dad to sons Danny, 11, Alfie, eight, and Toby, three, said the vouchers were due for delivery earlier this week.
However, having been able to track the delivery, the family said they realised the vouchers were being sent to their former home.
They forgot to update their address with the voucher company.
Mr Holden, who used to run pubs, said: "My wife tracked them and she said they're going to the old address.
"So she was tracking them and they got signed for at 2.21pm on November 5.
"Sandie went and picked the kids up from school and she went straight round to our old house, knocked on the door and the woman saw her through the window, she drew the blinds.
"We rang the police to ask the police to come and help us but they couldn't get anyone out because they were very busy."
Mr Holden said a woman in the property told them "she didn't know who had been in and out of her house so she couldn't say who had got them".
Mr Holden said the vouchers were 'vital', explaining they could be used at various shops like Argos.
He feared having to replace the money.
However, the company confirmed it would reissue the vouchers.
A spokesman for Park Christmas Savings said: "We apologise for some of the difficulties the family has experienced on this occasion, but this can sometimes happen if people move home and we’ve not been notified.
"We know there are lots of priorities when people are moving home, so it can happen.
"However, in order to ensure the family doesn’t miss out on an amazing Christmas this year, we’re happy to reissue the vouchers on this occasion and we’ll work with the police moving forward to help track and identify anyone spending the previously issued vouchers.”
A Nottinghamshire Police spokesman said: "Officers were called following an alleged theft of gift vouchers.
"The vouchers are believed to have been delivered to the victim's old home in Beeston on Tuesday, November 5.
"Officers issued advice for the victim to call the voucher company from where they were purchased and to get them cancelled and reissued."
The force spokesman added: "The victim is now working with the courier to confirm if the vouchers were delivered to the property."


Overview¶
This testbed for regional hurricane risk assessment of Atlantic County, New Jersey under multiple hazards adopts an approach consistent with that developed for earthquake hazards. Its intent is to demonstrate the computational scaffolding upon which community developers can progressively contribute refinements that increase the fidelity and capacities of the backend regional resilience assessment workflow. This documentation specifically demonstrates the process of: (1) asset description, (2) hazard characterization, (3) asset representation, (4) damage and loss modeling for the Atlantic County inventory. This inventory is partitioned into two different versions to provide users greater flexibility in balancing computational demands with their research interests. Sample results are presented to verify the workflow and demonstrate its usage.
Rationale¶
This testbed builds upon existing relationships between SimCenter personnel and the State of New Jersey through the NJcoast project ([KijewskiCorrea19], [NJCoast20]), which made available various inventory data and high-fidelity characterizations of wind, storm surge and wave action. Notably, the State of New Jersey has made sizable investments in open data and resilience planning tools in recent years, enabling a demonstration of how to leverage these data for inventory development.
The selection of Atlantic County, NJ and specifically Atlantic City and its surrounding municipalities offers a well-defined metro area with a blend of low-rise commercial (1-3 stories), industrial, high-rise hotels/casinos (over 20 stories), and single/multi-family residences. Thus a single testbed encompasses two extremes in building typologies with known vulnerabilities to wind: wood frame single-family homes and tall flexible structures more susceptible to dynamic wind effects. From the perspective of hazard exposure, this region is also characterized by beachfront communities exposed to storm surge and breaking waves on the ocean-facing coastline and back bay and riverine flooding. This blend of residential communities and more urban central business districts frequented by tourists moreover enables evaluation of resilience across different communities with differing profiles. As the State of New Jersey has actually taken control of Atlantic City to reimagine its role as an economic hub for the state, this testbed can help inform how future planning decisions should consider hurricane risk.
Capabilities and Supported Hazards¶
The testbed supports the transition from census-block-level loss projections to asset-level projections that assess the damage to individual buildings under multiple hurricane-induced hazards: wind and storm surge. Water penetration due to the breach of building envelopes and/or wind-borne debris impact are also captured in the damage and loss modeling, though the physics of these phenomena themselves are not explicitly modeled. Similarly, other hydrologic hazards related to accumulated rainfall, inland flooding, overland flow and riverline flooding, are not capture. Supported building classes include residential, commercial and industrial construction, critical facilities, and manufactured homes, constructed of wood, steel, reinforced concrete and masonry. The adoption of HAZUS loss estimation frameworks constrains the current testbed to buildings 6 stories and under and only the building classes currently supported by HAZUS ([FEMA18a], [FEMA18b]).
Current Implementation¶
For the initial implementation of the backend workflow, asset description adopts an augmented parcel approach that enriches tax assessor data. High-fidelity computational simulations are employed to simulate the wind and surge hazards, characterized by two intensity measures: the Peak Wind Speed (PWS) and Peak Water Depth (PWD), for specific scenarios. In lieu of a structural analysis model, assets are assigned attributes associated with various HAZUS-consistent building classifications. The adoption of HAZUS damage and loss assessment methodology for hurricane and flood thus enables these intensity measures to be related to probabilities of damage and loss, based on the building class and assigned attributes.
Available Inventories¶
Two different building inventories have been developed for the Atlantic County testbed and can be accessed on DesignSafe.
Atlantic County Inventory: Full inventory of 100,721 buildings in the 23 municipalities of Atlantic County,
described based on a variety of data sources (fig-buildingClassACI
). The buildings in this inventory are exposed to wind
only OR the combination of wind and floodplain hazards.
Flood-Exposed Inventory: This subset of the Atlantic County inventory is confined to 32,828 buildings in
FEMA Special Flood Hazard Areas (SFHAs) (fig-buildingClassFEI
), as identified by the New Jersey Department of Environmental
Protection (NJDEP). This includes all buildings in (or within 200-foot buffer of) the 1% annual chance (AC)
floodplain, as defined by FEMA Flood Insurance Rate Maps (FIRMs). The buildings in this inventory are exposed
to the combination of wind and floodplain hazards, and includes some of the most populated municipalities in the
county: Atlantic City, Margate City, and Ventor City which contribute to about 50% of the entire building inventory
in Atlantic County.
The following figures summarize characteristics of these inventories, including distribution by municipality
(fig-distAssetMunicipality
), by year built (fig-distBuiltYear
), by occupancy (fig-occupancyType
),
by number of stories (fig-numStory
) and by primary construction material (fig-constrMaterial
).
Notably, these inventories are typified by older vintages of construction (79% of Atlantic County buildings were constructed
before 1980), with a dominance of low-rise (1-2 stories), residential, wood frame construction (approximately
90% of Atlantic County buildings). Steel and reinforced concrete construction is more prevalent in downtown
Atlantic City.
- FEMA18a
FEMA (2018), HAZUS – Multi-hazard Loss Estimation Methodology 2.1, Hurricane Model Technical Manual, Federal Emergency Management Agency, Washington D.C., 718p.
- FEMA18b
FEMA (2018), HAZUS – Multi-hazard Loss Estimation Methodology 2.1, Flood Model Technical Manual, Federal Emergency Management Agency, Washington D.C., 569p.
- KijewskiCorrea19
Kijewski-Correa, T., Taflanidis, A., Vardeman, C., Sweet, J., Zhang, J., Snaiki, R., … & Kennedy, A. (2020). Geospatial environments for hurricane risk assessment: applications to situational awareness and resilience planning in New Jersey. Frontiers in Built Environment, 6, 549106.
- NJCoast20
NJ Coast (2020), Storm Hazard Projection Tool, NJ Coast, https://njcoast.us/resources-shp/


| Author | William Welch Copyright © 2009, all rights reserved. |
| Adapted-by | |
| Compiler | 2.4 |
The early 18C/F family had an internal CAN controller that was very similar to the MCP2515. More recent devices have an ECAN controller which has many enhanced features, but defaults on power-up to a 'legacy' mode.
No dependency found
can_set_rxb1_filter5(byte in sidh, byte in sidl, byte in eidh, byte in eidl)
can_encode_std_id(dword in out can_id)
can_encode_rtr_id(dword in out can_id)
can_encode_ext_id(dword in out can_id)
can_set_rxb1_filter3(byte in sidh, byte in sidl, byte in eidh, byte in eidl)
can_set_rxb0_filter0(byte in sidh, byte in sidl, byte in eidh, byte in eidl)
can_reset()
can_set_rxb0_filter1(byte in sidh, byte in sidl, byte in eidh, byte in eidl)
can_set_rxb0_mask(byte in sidh, byte in sidl, byte in eidh, byte in eidl)
can_set_config(byte in p1, byte in p2, byte in p3)
can_set_rxb1_filter4(byte in sidh, byte in sidl, byte in eidh, byte in eidl)
can_set_rxb1_mask(byte in sidh, byte in sidl, byte in eidh, byte in eidl)
can_set_rxb1_filter2(byte in sidh, byte in sidl, byte in eidh, byte in eidl)
can_send(byte in buf_no, dword in can_id, byte in buf[8], byte in len) return bit
can_is_ext_id(dword in can_id) return bit
can_is_rtr_id(dword in can_id) return bit
can_is_error_id(dword in can_id) return bit
can_is_std_id(dword in can_id) return bit
can_receive(byte in buf_no, dword out can_id, byte out buf[8], byte out len) return bit
can_set_rxb1_filter5(byte in sidh, byte in sidl, byte in eidh, byte in eidl)
set RXB1 acceptance filter #5
can_encode_std_id(dword in out can_id)
No documentation found
can_encode_rtr_id(dword in out can_id)
No documentation found
can_encode_ext_id(dword in out can_id)
No documentation found
can_set_rxb1_filter3(byte in sidh, byte in sidl, byte in eidh, byte in eidl)
set RXB1 acceptance filter #3
can_set_rxb0_filter0(byte in sidh, byte in sidl, byte in eidh, byte in eidl)
set RXB0 acceptance filter #0
can_reset()
No documentation found
can_set_rxb0_filter1(byte in sidh, byte in sidl, byte in eidh, byte in eidl)
set RXB0 acceptance filter #1
can_set_rxb0_mask(byte in sidh, byte in sidl, byte in eidh, byte in eidl)
set RX acceptance mask for buffer RXB0 N.B. calling with 0,0,0,0 will pass all messages
can_set_config(byte in p1, byte in p2, byte in p3)
set bit-rate and related can bus configuration. see datasheet for details. N.B. The chip must already be in 'configuration mode'.
can_set_rxb1_filter4(byte in sidh, byte in sidl, byte in eidh, byte in eidl)
set RXB1 acceptance filter #4
can_set_rxb1_mask(byte in sidh, byte in sidl, byte in eidh, byte in eidl)
set RX acceptance mask for buffer RXB1 N.B. calling with 0,0,0,0 will pass all messages
can_set_rxb1_filter2(byte in sidh, byte in sidl, byte in eidh, byte in eidl)
set RXB1 acceptance filter #2
can_send(byte in buf_no, dword in can_id, byte in buf[8], byte in len) return bit
send CAN frame Non-blocking -- function returns immediately if buffer is busy (in-use) FIXME. this is ugly code
can_is_ext_id(dword in can_id) return bit
No documentation found
can_is_rtr_id(dword in can_id) return bit
No documentation found
can_is_error_id(dword in can_id) return bit
FIXME: will we ever need this?
can_is_std_id(dword in can_id) return bit
No documentation found
can_receive(byte in buf_no, dword out can_id, byte out buf[8], byte out len) return bit
receive CAN frame, sets can_id flag bits as to standard/extended, error, and remote. Non-blocking -- function returns immediately if no message is available. FIXME. this is ugly code
| 18f2585 | 18f2585_canid4_monitor.jal |
| 18f2585 | 18f2585_canid4_serial_adapter.jal |
| 18f2585 | 18f2585_can_serial_adapter.jal |
| 18f2585 | 18f2585_can_monitor.jal |
| 18f2585 | 18f2585_can_serial_hw.jal |
| 18f4585 | 18f4585_canid4_monitor.jal |


{% extends 'email_template.html' %} {% block content %}
Hello {{ feedback.pilot_name }},
The Virtual Houston ARTCC has successfully received your feedback! You will receive an email once a staff member has reviewed it.
Feedback Details:
If you believe there has been an error, please contact<EMAIL_ADDRESS>or<EMAIL_ADDRESS>{% endblock %}


Onion flown in from Karachi
Biman waives cargo handling charges for onion import
by Staff CorrespondentBiman Bangladesh Airlines yesterday waived its cargo handling charges for onion imports, hours before the first consignment of Pakistani onions landed at Dhaka airport.
Eighty-two tonnes of onion were flown in from Karachi by an Azerbaijani air freighter at 7:15pm, Group Captain Mehboob Khan, director at Hazrat Shahjalal International Airport, told The Daily Star.
Another consignment of the essential cooking ingredient from Egypt was expected to arrive at the airport around 1:00am today.
These onions will be sold in the open market through the Trading Corporation of Bangladesh (TCB).
Meanwhile, the civil aviation and tourism ministry at a meeting decided to waive the cargo handling charges for any airlines that will import onion.
Chaired by Secretary M Mohibul Haque, the meeting was held at the ministry.
Talking to The Daily Star, Biman Managing Director Mokabbir Hossain said, “We made the decision [to waive the charges] in public interest.”
Biman charges Tk 18 per kg for any perishable goods, imported by any airlines, for its cargo handling services, he mentioned.
The waiver of charges for onion imports will help keep its prices stable, said a press release of the civil aviation ministry.
The ministry will provide all sorts of support to onion importers in this regard, it added.
On Tuesday, Commerce Minister Tipu Munshi said the government decided to import 50,000 tonnes of onion by cargo planes.
The ministry booked a number of cargo flights of different airlines to import it.
Onion prices began to rise across the country about two months ago when the Indian government imposed a ban on its export. But the prices started to rise sharply last week.
Earlier this month, locally grown onion was sold at Tk 100-120 a kg in the capital’s kitchen markets. But the price jumped to Tk 160 late last week and then kept rising.
The price rose by Tk 30-40 a day and hit a record Tk 260 per kg. Against such a backdrop, the government decided to import onions by cargo planes.
Market monitoring teams from the commerce ministry and different divisions as well as government agencies punished traders for their alleged involvement in manipulation of onion prices.
In the last couple of days, the teams had imposed fines and handed down different jail terms to the offenders.
The prices started dropping three to four days ago after locally grown onions and the ones imported from Myanmar, Egypt and China hit the market.
Locally grown onions were being sold for Tk 170-180 per kg and the imported ones for Tk 120-160 a kg.
Traders fear that onion prices may rise anytime soon if the ongoing transport strike continues.


JQuery Forms
Forms
Food 1
Food 2
Food 3
Food 4
Food 5
new item
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© ListKing
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--- author: Colene Chow categories: app date: '2012-04-24 23:55:53' permalink: /2012/04/24/phonegap-build-welcomes-windows-phone-7/ slug: phonegap-build-welcomes-windows-phone-7 status: publish title: PhoneGap Build welcomes Windows Phone 7 type: post format: html tags: - Windows Phone - PhoneGap Build ---
The PhoneGap Build team is proud to introduce Windows Phone 7 as the latest addition to our platform lineup! With the addition of Windows Phone 7, developers are now able to reach a new and rapidly growing market.
Haven’t heard of PhoneGap Build? PhoneGap Build is a service that allows developers to compile PhoneGap projects in the cloud. Instead of configuring environments and installing platform specific tools, PhoneGap Build allows developers to focus on writing apps. Simply upload your project assets to Build and boom! you have distribution-ready apps for iOS, Android, Blackberry, WebOs, and Symbian. From there it’s as simple as uploading your new packages to the various app stores.
After working with Microsoft to bring PhoneGap to WP7 last year, we’re excited to see it finally join PhoneGap Build!
Go check out our PhoneGap Build Service and sign up for our open public beta! You can also read more about WP7 on PhoneGap build on the PhoneGap Build blog.


The three components which have improved survival in cancer are:
Prevention – by reduction of risk factors like tobacco and alcohol consumption[3]
Early diagnosis – screening of common cancers[4] and comprehensive diagnosis and staging
Treatment – multimodality management[5] by discussion in tumor board and treatment in a comprehensive cancer centre[6]
Cancers are often managed through discussion on multi-disciplinary cancer conferences[7] where medical oncologist, surgical oncologist, radiation oncologist, pathologist, radiologist and organ specific oncologists meet to find the best possible management for an individual patient considering the physical, social, psychological, emotional and financial status of the patients. It is very important for oncologists to keep updated of the latest advancements in oncology, as changes in management of cancer are quite common. All eligible patients in whom cancer progresses and for whom no standard of care treatment options are available should be enrolled in a clinical trial.
for more details on Onclology
Slide down to watch some videos realted to the topic.


|
CCfits
2.4
|
This function demonstrates the operation of filtering a table by selecting rows that satisfy a condition and writing them to a new file, or overwriting a table with the filtered data. A third mode, where a filtered dataset is appended to the file containing the source data, will be available shortly, but is currently not supported by cfitsio.
The expression syntax for the conditions that may be applied to table data are described in the cfitsio manual. In the example below, we illustrate filtering with a boolean expression involving one of the columns.
The two flags at the end of the call to FITS::filter are an `overwrite' flag - which only has meaning if the inFile and outFile are the same, and a 'read' flag. overwrite defaults to true. The second flag is a 'read' flag which defaults to false. When set true the user has immediate access to the filtered data.
(Also see the section "Reading with Extended File Name Syntax")
int selectRows() { const string inFile("atestfil.fit"); const string outFile("btestfil.fit"); const string newFile("ctestfil.fit"); remove(newFile.c_str()); // test 1: write to a new file std::auto_ptr<FITS> pInfile(new FITS(inFile,Write,string("PLANETS_ASCII"))); FITS* infile(pInfile.get()); std::auto_ptr<FITS> pNewfile(new FITS(newFile,Write)); ExtHDU& source = infile->extension("PLANETS_ASCII"); const string expression("DENSITY > 3.0"); Table& sink1 = pNewfile->filter(expression,source,false,true); std::cout << sink1 << std::endl; // test 2: write a new HDU to the current file, overwrite false, read true. // AS OF 7/2/01 does not work because of a bug in cfitsio, but does not // crash, simply writes a new header to the file without also writing the // selected data. Table& sink2 = infile->filter(expression,source,false,true); std::cout << sink2 << std::endl; // reset the source file back to the extension in question. source = infile->extension("PLANETS_ASCII"); // test 3: overwrite the current HDU with filtered data. Table& sink3 = infile->filter(expression,source,true,true); std::cout << sink3 << std::endl; return 0; }


Hi! I'm Patricia and I just graduated from the University of California, San Diego, where I studied Cognitive Science with a specialization in Human-Computer Interaction. My passion for user-centered and aesthetically pleasing designs and products guide how I experience the world around me. If I'm not designing or at school, you can find me on a food adventure or relaxing on the beach. Feel free to take a look at my resume by clicking on the button below!


Search for a Recipe!
Please select the ingredients you have in your kitchen and we will try to find a match!
Dry Ingredients
All-purpose flour
Cake flour
Granulated (regular white) sugar
Light brown sugar
Powdered (confectioner’s) sugar
Baking powder
Baking soda
Table salt
Cocoa powder, unsweetened
Cornstarch
Cornmeal
Wet Ingredients
Unsalted butter
Whole milk
Eggs
Vegetable (or canola) oil
Corn syrup
Honey
Other Ingredients
Vanilla extract
Almond extract
Chocolate chips
Ground cinnamon
Unsweetened chocolate
Old-fashioned rolled oats
Walnuts
Almonds
Pecans
Shredded coconut
Raisins
Food coloring
Sprinkles


{%extends "base.html"%} {%load plotly_dash%} {%block title%}Demo Eight - Django Session State{%endblock%} {%block content%}
This example demonstrates passing session state values from Django to a Dash app.
The view that renders this page updates a variable each time the view is rendered in this session. Clicking on the button will update the session with a record of the number of clicks of the button since the page was rendered.
The current page render count in this session is {{ind_use}}
{% load plotly_dash %}
<div class="{% plotly_class name="DjangoSessionState"%}">
{% plotly_app name="DjangoSessionState" ratio=0.3 %}
<\div>


--- layout: post status: publish published: true title: Cubs Caravan in Peoria - Thursday, January 12th author: display_name: Corey Fineran login: Corey email<EMAIL_ADDRESS>url: '' author_login: Corey author_email<EMAIL_ADDRESS>wordpress_id: 6559 wordpress_url: http://ivyenvy.com/?p=6559 date: '2012-01-06 15:06:03 +0000' date_gmt: '2012-01-06 21:06:03 +0000' categories: - Minor Leagues - The Cubs - Cubs fans tags: - Peoria Chiefs - Peoria - Cubs Convention - Chiefs - Cubs Caravan comments: [] ---
If Cubs Convention 2012 doesn’t fit into your schedule or budget and you live south of Chicago, you might want to consider going to Cubs Caravan in Peoria next Thursday, January 12th.
The Cubs have tentatively announced that six former Chiefs, including top Cubs prospects Brett Jackson, Josh Vitters and Matt Szczur will be appearing on the Caravan stop. Other players that are scheduled to appear on the Caravan are three former Chiefs that spent time in 2011 with the big league team: Tony Campana, Chris Carpenter and Casey Coleman.
New coaches Chris Bosio, Jamie Quirk and Dave McKay will be joined by Scouting Director Joe Bohringer, Assistant GM Shiraz Rehman and Comcast announcer Dave Otto, who will serve as the event’s emcee.
There is a 45 minute autograph session that starts at 4:45, which is followed by the program, which consists of a Q&A segment and ticket/booster info on the Cubs and Chiefs, as well as a dinner.
The Cubs Caravan stop in Peoria will be at the Riverplex. Tickets are available at the Chiefs box office for $15, payable by cash or check.
I did contact the Chiefs box office to get information for those that are interested in the event and unable to purchase tickets at the box office. If you are in this position, you may mail a check for $15 made out to Central Illinois Cubs Boosters and include a note with your name and phone number, asking them to hold the tickets. Tickets must be picked up by 2:30 at the Chiefs box office.


| • Client connections: | Speaking to clients | |
| • Contacting servers: | Contacting servers. | |
| • HTTP tuning: | Tuning at the HTTP level. | |
| • Offline browsing: | Browsing with poor connectivity. | |
| • Server statistics: | Polipo keeps statistics about servers. | |
| • Server-side behaviour: | Tuning the server-side behaviour. | |
| • PMM: | Poor Man’s Multiplexing. | |
| • Forbidden: | You can forbid some URLs. | |
| • DNS: | How Polipo finds hosts. | |
| • Parent proxies: | Fetching data from other proxies. | |
| • Tuning POST and PUT: | Tuning POST and PUT requests. | |
| • Tunnelling connections: | Tunnelling foreign protocols and https. |


These are the websites i have been making
These are the technologies i have worked with
Haris Ahmed | Front-end developer
Hello! I am Haris Ahmed and I am a Computer Engineering
graduate. I have been working as a web developer for the
past two years. I have been working with different web
technologies including HTML5, CSS3 (SASS, PostCSS, CSS
Modules, BEM, Bootstrap, Tailwind), JavaScript / TypeScript,
React, and Storybook. I decided to build this portfolio of
mine as a fun side project and plan on adding more work in
it.
Thanks for visiting my site! :)
SEND ME AN EMAIL


Instructions:
Mousewheel or number keys 1 - 5 to select tiles
1 - Yellow - Conductor
2 - Blue - Blue Electron
3 - Green - Initialiser
4 - Orange - Toggleable Conductor
5 - Gray - Empty
Left click to place tiles.
Right click to remove tiles.
Core tiles:
Blue Electrons will transform into Red Electrons.
Red Electrons will transform into Conductors.
Conductors that have exactly one or two orthogonally or diagonally adjacent Blue Electrons will transform into a Blue Electron.
Convenience tiles:
Initialisers will transform orthogonally adjacent tiles into Blue Electrons when the "Activate initialisers" button is pressed.
Toggleable Conductors act as regular Conductors when the "Activate toggleable conductors" checkbox is checked, otherwise as Empty tiles.
Challenges:
- Construct a diode
- Construct a clock
- Construct a AND gate
- Construct a OR gate
- Construct a XOR gate
- Construct a NOT gate
- Construct a electron bridge
- Construct a T Flip-Flop
- Construct a monostable circuit
- Construct a RS Nor-Latch
- Construct a adder
- Construct a subtracter
- Construct a multiplier
- Construct a divider
- Construct a seven segment display
- Construct a binary to decimal converter
- Construct a decimal to binary converter
- Construct a calculator
- Calculate the Fibonacci sequence
- Approximate root two
- Approximate pi
- Approximate e
- Render the Mandelbrot Set
- Render the Julia Set
- Simulate Langton's Ant
- Construct a computer


Note |
This is a patch release of the TCK. The Release Notes file that is posted on the Java Partner Engineering Web site contains the most current information about the TCK, including any last minute changes. Always check that file for the most up-to-date information. Also note that this patch is a full, comprehensive release of the TCK bundle. You do not need to install any previous TCK bundles before installing this patch bundle. |
|---|
The Java™ Persistence API, Version 1.0 Technology Compatibility Kit (Java Persistence API TCK) includes the following items:
JavaTest harness version 3.2.1 and related documentation:
The JavaTest harness Release Notes are provided in the JavaTest documentation directory in the JPA TCK 1.0 documentation bundle.
The JavaTest harness provides three User's Guides in PDF format. The JavaTest User's Guides are also available in JavaHelp format, and can be displayed either in the JavaTest harness or in a separate viewer launched from the command line.
Java Persistence API TCK Signature and API tests:
Signature tests that check that all of the public APIs are supported or defined as specified in the Java Persistence API, Version 1.0 implementation that is being tested.
API tests for all of the public APIs defined by the Java Persistence API 1.0 Specification.
The following bugs were fixed in the JPA TCK 1.0 B Patch release. Complete descriptions of these bugs can be found online in the SunSolve database.
Bug ID #6489570 - SigTests need to update sigtest.jar
and sigtestdev.jar
files
Bug ID #6478678 - Missing PRICED_PRODUCT_TABLE
entry in db2 ddl.persistence.sql
file.
Bug ID #6502018 - ejb30.persistence.inheritance.abstractentity.Project.projectLead
Bug ID #6519191 - Tests/ejb30/persistence/inheritance/mappedsc/descriptors
The following bugs were fixed in the Java Persistence TCK 1.0 A Patch release. Descriptions of these bugs can be found online in the SunSolve database.
Bug ID #6424950 - Case inconsistency issues uncovered when running ejb30/persistence tests with Sybase
Bug ID #6428749 - db2.ddl.persistence.sql
file is incorrect
Bug ID #6429428 - Case issue with Sybase; the column was built with ID NOT NULL
, but Annotation is returning id
Bug ID #6429457 - JPQL query in test_leftouterjoin_1xM
expects DISTINCT
results but DISTINCT
is not specified
Bug ID #6433916 - ejb30.persistence.types.field.DataTypes.java
Bug ID #6435681 - Entity Manager remove method with parameter null
Bug ID #6437476 - com.sun.ts.tests.ejb30.persistence.query.language.schema30.Customer
Bug ID #6441018 - JPQL queries must not JOIN embedded enties
Bug ID #6442401 - Both com.sun.ts.tests.ejb30.persistence.callback.inheritance.Product
and com.sun.ts.tests.ejb30.persistence.callback.inheritance.PricedPartProduct_2 entities
are mapped on the same underlying table.
Bug ID #6442407 - Both com.sun.ts.tests.ejb30.persistence.callback.inheritance.Product
and com.sun.ts.tests.ejb30.persistence.callback.inheritance.PricedPartProduct_2
entities are mapped on the same underlying table.
Bug ID #6442408 - Both com.sun.ts.tests.ejb30.persistence.callback.inheritance.Product
and com.sun.ts.tests.ejb30.persistence.callback.inheritance.PricedPartProduct_2
entities are mapped on the same underlying table.
Bug ID #6443329 - ejb30\persistence\ee\propagation\cm\jta\ejb3_cmjta_propagation_web.xml
conatinas a line fined in the web-app
element for the element value xmlns:xsi
which causes a failure to deploy the ears
Bug ID #6443341 - com.sun.ts.tests.ejb30.persistence.entitytest.apitests-entityAPITest16
Bug ID #6446953 - com/sun/ts/tests/ejb30/persistence/versioning/Client.java#versionTest1
Bug ID #6447351 - Persist detached entities: com/sun/ts/tests/ejb30/persistence/entitytest/detach/manyXone
Bug ID #6451612 - com.sun.ts.tests.ejb30.persistence.callback.inheritance.PricedPartProductListener
EntityListener
class has no callback methods declared
Bug ID #6453214 - com/sun/ts/tests/ejb30/persistence/versioning/
test may not be valid
Bug ID #6458551 - Incorrect JPA signatures for javax.persistence.NamedQuery,NamedNativeQuery
, JoinColumn
, JoinColumns
Bug ID #6461639 - JPA initdb.xml
hardcodes the delimiter for the sql files
Bug ID #6461642 - Cleanup method of persistence tests needs to be revised
Bug ID #6462679 - com.sun.ts.tests.ejb30.persistence.query.language.test_locateHavingClause
Bug ID #6466209 - Wrong terminating character in postgresql.ddl.persistence.sql
file
The JPA TCK tests have been built and tested with the Java™ Platform, Standard Edition SDK, Version 1.5 (Java SE 1.5) and Java™ Platform, Enterprise Edition reference implementation, Version 5 (Java EE 5 RI).
In the instructions in this document, variables in angle
brackets need to be expanded for each platform. For example, <TS_HOME>
becomes $TS_HOME
on Solaris/Linux and %TS_HOME%
on Windows 2000. In addition, the forward slashes (/
) used
in all of the examples need to be replaced with backslashes (\
)
for Windows 2000.
The changes for signature tests include the following:
sig-test.map
and sig-test-pkg-list.txt
filesDetails about these changes are described below.
The new signature test files have a new naming scheme that uses the following format:
<technology_package>.sig_<technology_version>_<Java_version>
For example:
javax.persistence.sig_1.0_se5
Where:
technology_package
technology_package
name is javax.persistence
.technology_version
Java_version
_se5
, _se6
, and _se5_se6
, where the latter indicates that the same file can be used for both Java SE5 and Java SE6. Note that when verifying signatures, the technology under test must also be running with the correct version of Java that is being qualified.sig-test.map
and sig-test-pkg-list.txt
filesSince there is a need to support SE5 and SE6, there are more signatures that need to be supported. To simplify end user requirements, there were some new files added to the system that are used to isolate the list of signature files required by the user. While extra files were added, there should be no extra effort on the end users part.
The new files are located in the TS_HOME/bin
directory. The following files are now used by signature tests:
ts_home/bin/sig-test_se5.map
ts_home/bin/sig-test_se6.map
ts_home/bin/sig-test.map
ts_home/bin/sig-test-pkg-list_se5.txt
ts_home/bin/sig-test-pkg-list_se6.txt
ts_home/bin/sig-test-pkg-list.txt
The signature test framework should automatically choose the correct file based on the version of Java SE being used. The signature test framework chooses the files to use based on the following logic:
if (Java SE 5) use TS_HOME/bin/sig-test_se5.map use TS_HOME/bin/sig-test-pkg-list_se5.txt else if (Java SE 6) use TS_HOME/bin/sig-test_se6.map use TS_HOME/bin/sig-test-pkg-list_se6.txt else use TS_HOME/bin/sig-test.map use TS_HOME/bin/sig-test-pkg-list.txt
| Note | sig-test.map defaults to the same values as sig-test_se5.map and sig-test-pkg-list.txt defaults to the same values as sig-test-pkg-list_se5.txt . If for some reason, there is a need for the sigtest framework to use a different map file (for example, when using an unlisted SE version) then you can customize the TS_HOME/bin/sig-test.map file and it will be used when the sigtest framework cannot properly identify or support the Java SE version being used. |
|---|
Please refer to the Java™ Persistence API Technology Compatibility Kit User's Guide for complete installation, configuration, and usage instructions.
Copyright © 2007 Sun Microsystems, Inc. All rights reserved.


| Vendor Name | Web Address | Services |
|---|---|---|
| FCP Euro | https://www.fcpeuro.com | OEM Euro Automotive Parts, especially misc. hardware. Great Support and has good DIY Blog. |
| Crutchfield | https://www.crutchfield.com/ | Audio, Video, and more... Comprehensive fitment guide for car audio/video equipment. |


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Omnikit
{{user.displayName}}
{{user.email}}
add_circle
Add new store
store
Manage Stores
trending_up
Dashboard
shopping_cart
Billing
keyboard_return
Return products
receipt
E - Order Management
dashboard
Products
pages
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account_box
Manage users
people
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attach_money
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settings
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Responsive Redesign
For this project, I decided to do something that I had wanted to do since January 2020: redesign Brown's Computer Vision (CSCI 1430) course website to be more modern and pleasant to use.
When I first saw the one-page website as a student taking the class, I was appalled by the sheer amount of scrolling needed to navigate the sections. The web page was also not optmized for mobile (phone) devices, which was a problem because I would often check for CSCI 1430 project releases and office hours from my phone.
So here is my redesign process for the CSCI 1430 course website.
You may notice that the style of this page shares similarities with that of the redesigned website. This is because I took the elements and style that I liked from the redesign and applied here as well!
Here's a link to the finished product if you want to skip to the result!
Too Long; Don't Want to Read
For impatient readers, here were my key takeaways from this project.
- A lot of work goes into making a website usable for various screen sizes. Unfortunately, a lot of this work is invisible to the end user (especially in my case).
- Frameworks and libraries that are specifically designed to be mobile-first (e.g. Bootstrap) are really nice for common, yet complicated, elements like navbars.
- Going into a project with accessibility in mind really changed how I thought about structuring the html document of the website. I spent more time than I expected on making sure that there was a clear hierarchy in the html for easier parsing by screen readers.
- Current prototyping software, though helpful, really aren't great for designing accessible interfaces out of the box.
Now let's get to the nitty gritty details of this project!
Making Observations
The original website doesn't look too bad at first glace on a laptop...
...but things fall apart quickly on smaller sized screens.
So here are my general observations grouped by the four usability guidelines:
- Usability
- The website is not mobile friendly: text is small and wide tables/images cause horizontal scrolling for the whole page
- When reading tables, it can be easy to loose track of which row you're looking at (e.g. when trying to find a project's due date in a table row, a user can accidentally get off track and read the due date on a different project's row)
- Learnability
- Pretty straightforward one-page website where the navbar at the top links to the various sections
- Small issue: the order of links in the navbar do not perfectly correspond to the order of the sections on the website
- Memorability
- Once a user scrolls past a section header, it's hard to determine what section they're current viewing
- It's hard to memorize the exact location and order of each section of the website
- Once you're in a section, it's hard to remember how to get to another specific section without excessive scrolling
- Efficiency
- Users need to scroll a lot to reach various sections of the page: this takes a lot of unecessary time and physical effort
- It's difficult to distinguish the subsections within the sections from other sections: style-wise, the
document hierarchy is unclear (most section and subsection headings are
<h2>
) - The only place wthin links to the main sections of the website is in the static navbar located on the very top of the page
Accessibility
Another concern I had with the original website was its accessibility and ease of use through assistive technologies like screen readers. This website is a pretty simple static page, so poor usability for users with special accessiblity needs is not acceptable.
Thus, I ran the original website through WAVE (web accessibility evaluation tool) and made the following observations of issues:
- Too many fully justified paragraph blocks -- i.e. there are lost of large, solid blocks of text
- No language specified in the html tag
- No semantic html/ARIA landmarks: it's hard to distinguish the separate sections of the website through document structure
- tables lack captions that describe their contents
- many PowerPoint and PDF links
Besides the last point about links to PowerPoints and PDFs, all of these issues present significant usability problems and will need to be fixed in the redesign. Redoing the PowerPoints and PDFs to be accessible would be a lot of work and out of scope for this project.
I additionally ran the original website through a quick screen reader test on WAVE, and navigation throughout the page was possible, but cumbersome because of the sheer amount of content and lack of document structure.
Making Prototypes
Before I could dive in with implementing a redesign, I made low-fidelity (lo-fi) and high-fidelity (hi-fi) prototypes in Balsamiq and Adobe XD, respectively, so that I would have a better idea of how the final product should look.
For each set of prototypes, I made at least 3 wireframes: one for for desktop-sized screens, one for tablet-sized screens, and one for phone-sized screens.
Because each wireframe is very tall since this is a single-page website, I will only showcase the key design changes with annotations here. Of course, links to the full wireframes will be provided as well.
Low-Fidelity Prototypes
The point of my lo-fi prototypes was to develop solutions for the problems I previously observed in the original website.
If you would like to see/download full wireframes click on the following links:
Here are some key design choices I made in these prototypes. Note that there are no annotations for the tablet design since it is very similar to the desktop design.
(Desktop) Always-visible navbar that is always located at the top of the visible window no matter how far the user has scrolled. As a users scrolls through various sections, the section that they are currently viewing will be highlighted in the navbar. This way, users can always tell where they are in the web page, and they can click on a section link in the navbar to jump to another section without additional scrolling.
(Desktop) Section headers are much larger and distinct from paragraph text and subsection headers to make document structure clearer. No more confusion between the start of a section and the start of a subsection!
(Desktop) Tables will have rows with alternating colors so it's easier to follow data along rows. If a table is too wide for the window, the table (and only the table) will be able to be scrolled horizontally.
(Mobile) The top navbar will collapse into a hamburger menu once the screen is small enough. Just like on desktop, the navbar will always be visble on the top of the screen, and, when the navbar is expanded, it will hightlight the link corresponding to the section that the user is currently viewing.
(Mobile) Make the calendar embed no wider than the width of the screen and show the more compact "agenda" calendar view (not directly shown in wireframe).
(Mobile) Ensure that large tables have their own horizontal scroll bars and don't make the entire website have a horizontal scroll. This should also help fix the problem of small text because the width of the main body of the page will no longer be wider than the screen.
High-Fidelity Prototypes
The point of my hi-fi prototypes was to more explicitly outline the implementation of the redesigned website.
If you would like to see/download full wireframes click on the following links:
Here are some key design choices I made in these prototypes.
(Desktop) Navbar position is fixed to the top of the screen. This, along with the automatic highlighting of the nav link corresponding to the current visible section, can likely be implemented using Bootstrap to avoid writing custom, buggy code.
(Desktop) Section headers have a serif font (Garamond preferred) and a constant-sized underline that could be
implemented as an :after
element.
(Desktop) Tables will essentially look like Bootstrap tables (no need to reinvent the wheel here), and the background color of rows will darken on hover. Descriptive labels will also be added to each table.
(Desktop) The Google Calendar iframe
will take 100% width of its parent element (section
container) and have a constant height.
(Desktop) Similar notes as point 3 about tables.
(Desktop) The tentative schedule table will not have alternating row colors because the complexity of the table might cause readability issues. The darkening of row background colors on hover should still happen here though. Additionally, the table should allow scroll on x overflow (this property applies to desktop, tablet, and phone views).
(Desktop) If a link in the navbar is clicked, the page will automatically scroll to the section that was
selected. The highlighting of the link in the navbar will update accordingly (can probably be implemented
using Bootstraps's scrollspy
).
(Tablet) Once the screen width shrinks enough, the font size of the course title and lecture times at the top of the page should be reduced slightly.
(Phone) The full navbar menu will be hidden once the screen is too small to list all links on one line. Users can toggle the visibility of the navbar links by clicking on the hamburger menu icon. Highlighting of the link of visible section should still be functional on mobile.
(Phone) In implementation, there should be two iframes: one that shows the full week view, and one that shows the agenda view for the day. The second iframe should be hidden on all views except on mobile, and the the first frame should only be hidden on mobile. I can use media queries for this. (The wireframe does not show the agenda view)
Visual Design Style Guide
After creating my hi-fi prototypes, I also put together a simple UI style guide to summarize the specific designs I used for the redesign. There's not much on here because this is a pretty straightforward website, after all.
I also have the following notes on style:
- All maroon colors on the website (e.g. accents and link colors) are various shades of
hsl(347,100%,30%)
. h1
andh2
have a serif font like Garamond. Other reasonable serif fonts are also acceptable if Garamond is not available.- All other text on the website (including the navbar and
h3
) should have a sans-serif font like Helvetica Neue. Other reasonable sans-serif fonts are also acceptable if Garamond is not available. - The background color of the whole website should be a slightly-off-white, not pure white. This should improve readability of the pure black paragraph text.
Implementing the Redesign
My implementation process was essentially downloading the existing static html, js, and css files of the original website and tweaking styling and html document layout until it solved the usability problems I had identified and looked close enough to the hi-fi prototypes.
Click the screenshot below or this link to see the redesigned website for CSCI 1430!
I also confirmed the usability improvements through a few tests:
- Simulating table and phone screens on Chrome developer tools worked as expected.
- The website still looked great even when font size was set to 150% and the screen size was changed to that of a tablet's.
- WAVE brought up fewer accessibility issues than the original website (there were still a lot because of links to PowerPoints and PDFs).
Conclusion
That's it! This is definitely not the flashiest redesign, but it makes the experience of using the website significantly more pleasant for users on all devices.
As for future directions, I am hoping to get in contact with the 2021 TA staff of Computer Vision (CSCI 1430) to see if they will adopt my redesign!


Hey there all,
I am using a netNamedPipeBinding
to perform inter-process WCF communication from a windows app to a windows service.
Now my app is running well in all other accounts (after fighting off my fair share of WCF exceptions as anybody who has worked with WCF would know..) but this error is one that is proving to be quite resilient.
To paint a picture of my scenario: my windows service could be queued to do some work at any given time through a button pressed in the windows app and it then talks over the netNamedPipeBinding
which is a binding that supports callbacks (two-way communication) if you are not familiar and initiates a request to perform this work, (in this case a file upload procedure) it also throws the callbacks (events) every few seconds ranging from file progress to transfer speed etc. etc. back to the windows app, so there is some fairly tight client-server integration; this is how I receive my progress of what's running in my windows service back into my windows app.
Now, all is great, the WCF gods are relatively happy with me right now apart from one nasty exception which I receive every time I shutdown the app prematurely (which is a perfectly valid scenario). Whilst a transfer is in progress, and callbacks are firing pretty heavily, I receive this error:
System.ServiceModel.ProtocolException:
The channel received an unexpected input message with Action
'http://tempuri.org/ITransferServiceContract/TransferSpeedChangedCallback'
while closing. You should only close your channel when you are not expecting
any more input messages.
Now I understand that error, but unfortunately I cannot guarantee to close my channel after never receiving any more input messsages, as the user may shutdown the app at any time therefore the work will still be continuing in the background of the windows service (kind of like how a virus scanner operates). The user should be able to start and close the win management tool app as much as they like with no interference.
Now the error, I receive immediately after performing my Unsubscribe()
call which is the second last call before terminating the app and what I believe is the preferred way to disconnect a WCF client. All the unsubscribe does before closing the connection is simply removes the client id from an array which was stored locally on the win service wcf service (as this is an instance SHARED by both the win service and windows app as the win service can perform work at scheduled events by itself) and after the client id array removal I perform, what I hope (feel) should be a clean disconnection.
The result of this, besides receiving an exception, is my app hangs, the UI is in total lock up, progress bars and everything mid way, with all signs pointing to having a race condition or WCF deadlock [sigh], but I am pretty thread-savvy now and I think this is a relatively isolated situation and reading the exception as-is, I don't think it's a 'thread' issue per-se, as it states more an issue of early disconnection which then spirals all my threads into mayhem, perhaps causing the lock up.
My Unsubscribe()
approach on the client looks like this:
public void Unsubscribe()
{
try
{
// Close existing connections
if (channel != null &&
channel.State == CommunicationState.Opened)
{
proxy.Unsubscribe();
}
}
catch (Exception)
{
// This is where we receive the 'System.ServiceModel.ProtocolException'.
}
finally
{
Dispose();
}
}
And my Dispose()
method, which should perform the clean disconnect:
public void Dispose()
{
// Dispose object
if (channel != null)
{
try
{
// Close existing connections
Close();
// Attempt dispose object
((IDisposable)channel).Dispose();
}
catch (CommunicationException)
{
channel.Abort();
}
catch (TimeoutException)
{
channel.Abort();
}
catch (Exception)
{
channel.Abort();
throw;
}
}
}
And the WCF service Subscription()
counterpart and class attributes (for reference) on the windows service server (nothing tricky here and my exception occurs client side):
[ServiceBehavior(InstanceContextMode = InstanceContextMode.Single,
ConcurrencyMode = ConcurrencyMode.Multiple)]
public class TransferService : LoggableBase, ITransferServiceContract
{
public void Unsubscribe()
{
if (clients.ContainsKey(clientName))
{
lock (syncObj)
{
clients.Remove(clientName);
}
}
#if DEBUG
Console.WriteLine(" + {0} disconnected.", clientName);
#endif
}
...
}
Interface of:
[ServiceContract(
CallbackContract = typeof(ITransferServiceCallbackContract),
SessionMode = SessionMode.Required)]
public interface ITransferServiceContract
{
[OperationContract(IsInitiating = true)]
bool Subscribe();
[OperationContract(IsOneWay = true)]
void Unsubscribe();
...
}
Interface of callback contract, it doesn't do anything very exciting, just calls events via delegates etc. The reason I included this is to show you my attributes. I did alleviate one set of deadlocks already by including UseSynchronizationContext = false
:
[CallbackBehavior(UseSynchronizationContext = false,
ConcurrencyMode = ConcurrencyMode.Multiple)]
public class TransferServiceCallback : ITransferServiceCallbackContract
{ ... }
Really hope somebody can help me! Thanks a lot =:)
1 answers have been posted
-
OH my gosh, I found the issue.

You would not believe it, I spent about 6 hours on and off on this bug, it turned out to be the
channel.Close()
locking up waiting for pending WCF requests to complete (which never would complete until the transfer has finished! which defeats the purpose!)I just went brute-force breakpointing line after line, my issue was if I was too slow..... it would never hang, because somehow the channel would be available to close (even before the transfer had finished) so I had to breakpoint F5 and then quickly step to catch the hang, and that's the line it ended on. I now simply apply a timeout value to the
Close()
operation and catch it with aTimeoutException
and then hard abort the channel if it cannot shut down in a timely fashion!See the fix code:
private void Close() { if (channel != null && channel.State == CommunicationState.Opened) { // If cannot cleanly close down the app in 3 seconds, // channel is locked due to channel heavily in use // through callbacks or the like. // Throw TimeoutException channel.Close(new TimeSpan(0, 0, 0, 3)); } } public void Dispose() { // Dispose object if (channel != null) { try { // Close existing connections // ***************************** // This is the close operation where we perform //the channel close and timeout check and catch the exception. Close(); // Attempt dispose object ((IDisposable)channel).Dispose(); } catch (CommunicationException) { channel.Abort(); } catch (TimeoutException) { channel.Abort(); } catch (Exception) { channel.Abort(); throw; } } }
I am so happy to have this bug finally over and done with! My app is now shutting down cleanly after a 3 second timeout regardless of the current WCF service state, I hope I could have helped someone else who ever finds themselves suffering a similar issue.
Graham
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Declare Diagnosands
declare_diagnosands(..., handler = estimand_handler, label = NULL)
| ... | A set of diagnosands, i.e. bias = mean(est - estimand). The diagnostic statistic (i.e., est - estimand) and its associated summary function (i.e., mean) are declared at the same time. |
|---|---|
| handler | a diagnosand handler |
| label | a step label |
a function that returns a data.frame
Diagnosands summarize the simulations generated by diagnose_design
. Typically, the columns of the resulting simulations data.frame include the following variables: est, se, p, ci_lower, ci_upper, and estimand. Most diagnosands will be some function of these variables.
If you do not specify a particular set of diagnosands, the following diagnosands will be reported by default:
bias = mean(est - estimand) rmse = sqrt(mean((est - estimand)^2)) power = mean(p < .05) coverage = mean(estimand <= ci_upper & estimand >= ci_lower) mean_estimate = mean(est) sd_estimate = sd(est) type_s_rate = mean((sign(est) != sign(estimand)) & p < .05) mean_estimand = mean(estimand)
my_population <- declare_population(N = 500, noise = rnorm(N)) my_potential_outcomes <- declare_potential_outcomes( Y_Z_0 = noise, Y_Z_1 = noise + rnorm(N, mean = 2, sd = 2)) my_assignment <- declare_assignment() my_estimand <- declare_estimand(ATE = mean(Y_Z_1 - Y_Z_0)) my_estimator <- declare_estimator(Y ~ Z, estimand = my_estimand) design <- declare_design(my_population, my_potential_outcomes, my_estimand, my_assignment, reveal_outcomes, my_estimator)# NOT RUN { # using built-in defaults: diagnosis <- diagnose_design(design) diagnosis # }# using a user-defined diagnosand my_diagnosand <- declare_diagnosands(absolute_error = mean(abs(est - estimand)))# NOT RUN { diagnosis <- diagnose_design(design, diagnosands = my_diagnosand) diagnosis # }# this is the code that makes the default diagnsoands. # Use these as a model when writing your own diagnosands. default_diagnosands <- declare_diagnosands( bias = mean(est - estimand), rmse = sqrt(mean((est - estimand)^2)), power = mean(p < .05), coverage = mean(estimand <= ci_upper & estimand >= ci_lower), mean_estimate = mean(est), sd_estimate = sd(est), type_s_rate = mean((sign(est) != sign(estimand)) & p < .05), mean_estimand = mean(estimand))


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class: center, middle, inverse, title-slide # Distribution of a Variable ## Sociology 312 ### Aaron Gullickson ### University of Oregon ### 2019-08-09 --- class: inverse, center, middle background-image: url(images/eaters-collective-rS1GogPLVHk-unsplash.jpg) background-size: cover # What is a Distribution? --- ## The concept of a distribution When we refer to the **distribution** of a variable, we are referring to how the different values of that variable are distributed across the given observations. -- .pull-left[ ###
Look at it - We can make a plot that shows the distribution. - We make different kinds of plots for categorical and quantitative variables. * **Barplots** for categorical variables * **Histograms** for quantitative variables ] -- .pull-left[ ###
Measure it - We can calculate summary measures of the **center** and **spread** of the distribution. - We an only calculate summary measures for quantitative variables. ] --- ## Calculating frequencies In order to display the distribution of a **categorical variable**, we first need to calculate the **frequency** which is the number of observations that belong to each possible category. We can do this easily in *R* with the `table` command: ```r table(politics$party) ``` ``` ## ## Democrat Republican Independent Other ## 1465 1241 1381 151 ``` -- Lets convert these frequencies into **proportions** by dividing through by the total number of observations. We can also do this easily in *R* by adding the `sum` command to the previous command: ```r prop <- table(politics$party)/sum(table(politics$party)) prop ``` ``` ## ## Democrat Republican Independent Other ## 0.34568193 0.29282681 0.32586126 0.03563001 ``` --- ## Proportions and percents *R* also has a built-in function called `prop.table` that will calculate proportions automatically. We just need to feed the output of the `table` command into it. ```r prop.table(table(politics$party)) ``` ``` ## ## Democrat Republican Independent Other ## 0.34568193 0.29282681 0.32586126 0.03563001 ``` -- We can employ this "wrapping" feature of *R* to do some more tidying up. In this case, I want to `round` the number of digits and multiply by 100 to turn my proportions into percents. I also use the `sort` command to sort values from highest to lowest. ```r percent <- sort(round(100*prop.table(table(politics$party)),1), decreasing=TRUE) percent ``` ``` ## ## Democrat Independent Republican Other ## 34.6 32.6 29.3 3.6 ``` --- ## How can we display distribution graphically? -- .pull-left[ ### Do not use a piechart  ] -- .pull-right[ ### Use a barplot  ] --- ## Constructing a barplot in ggplot We will use `ggplot` to construct graphs. Here is the full code for the barplot. ```r ggplot(politics, aes(x=party, y=..prop.., group=1))+ geom_bar()+ scale_y_continuous(label=scales::percent)+ labs(x="party affiliation", y=NULL, title="Distribution of party affiliation", caption="Source: ANES 2016")+ theme_bw() ``` 1. Multiple commands are linked together with `+` signs. --- ## Constructing a barplot in ggplot We will use `ggplot` to construct graphs. Here is the full code for the barplot. ```r *ggplot(politics, aes(x=party, y=..prop.., group=1))+ geom_bar()+ scale_y_continuous(label=scales::percent)+ labs(x="party affiliation", y=NULL, title="Distribution of party affiliation", caption="Source: ANES 2016")+ theme_bw() ``` 1. Multiple commands are linked together with `+` signs. 2. The first command of `ggplot` takes two arguments. The first argument is the data we want to use (in this case, the politics dataset). The second argument is the `aes` command that defines *aesthetics* for the full plot. --- ## Constructing a barplot in ggplot We will use `ggplot` to construct graphs. Here is the full code for the barplot. ```r ggplot(politics, aes(x=party, y=..prop.., group=1))+ * geom_bar()+ scale_y_continuous(label=scales::percent)+ labs(x="party affiliation", y=NULL, title="Distribution of party affiliation", caption="Source: ANES 2016")+ theme_bw() ``` 1. Multiple commands are linked together with `+` signs. 2. The first command of `ggplot` takes two arguments. The first argument is the data we want to use (in this case, the politics dataset). The second argument is the `aes` command that defines *aesthetics* for the full plot. 3. The second command is `geom_bar`. In general, all plots require some kind of "geometry" command defined as `geom_something`. This tells `ggplot` that I want to plot bars. At this point, my basic plot is done. The remaining commands just add more bells and whistles for a nicer plot. --- ## Constructing a barplot in ggplot We will use `ggplot` to construct graphs. Here is the full code for the barplot. ```r ggplot(politics, aes(x=party, y=..prop.., group=1))+ geom_bar()+ * scale_y_continuous(label=scales::percent)+ labs(x="party affiliation", y=NULL, title="Distribution of party affiliation", caption="Source: ANES 2016")+ theme_bw() ``` 1. Multiple commands are linked together with `+` signs. 2. The first command of `ggplot` takes two arguments. The first argument is the data we want to use (in this case, the politics dataset). The second argument is the `aes` command that defines *aesthetics* for the full plot. 3. The second command is `geom_bar`. In general, all plots require some kind of "geometry" command defined as `geom_something`. This tells `ggplot` that I want to plot bars. At this point, my basic plot is done. The remaining commands just add more bells and whistles for a nicer plot. 4. `scale_y_continuous(label=scales::percent)` causes my proportions on the y-axis to reported as percents. --- ## Constructing a barplot in ggplot We will use `ggplot` to construct graphs. Here is the full code for the barplot. ```r ggplot(politics, aes(x=party, y=..prop.., group=1))+ geom_bar()+ scale_y_continuous(label=scales::percent)+ * labs(x="party affiliation", y=NULL, * title="Distribution of party affiliation", * caption="Source: ANES 2016")+ theme_bw() ``` 1. Multiple commands are linked together with `+` signs. 2. The first command of `ggplot` takes two arguments. The first argument is the data we want to use (in this case, the politics dataset). The second argument is the `aes` command that defines *aesthetics* for the full plot. 3. The second command is `geom_bar`. In general, all plots require some kind of "geometry" command defined as `geom_something`. This tells `ggplot` that I want to plot bars. At this point, my basic plot is done. The remaining commands just add more bells and whistles for a nicer plot. 4. `scale_y_continuous(label=scales::percent)` causes my proportions on the y-axis to reported as percents. 5. The `labs` command can be used to add nice labeling of axes and to create titles and captions. --- ## Constructing a barplot in ggplot We will use `ggplot` to construct graphs. Here is the full code for the barplot. ```r ggplot(politics, aes(x=party, y=..prop.., group=1))+ geom_bar()+ scale_y_continuous(label=scales::percent)+ labs(x="party affiliation", y=NULL, title="Distribution of party affiliation", caption="Source: ANES 2016")+ * theme_bw() ``` 1. Multiple commands are linked together with `+` signs. 2. The first command of `ggplot` takes two arguments. The first argument is the data we want to use (in this case, the politics dataset). The second argument is the `aes` command that defines *aesthetics* for the full plot. 3. The second command is `geom_bar`. In general, all plots require some kind of "geometry" command defined as `geom_something`. This tells `ggplot` that I want to plot bars. At this point, my basic plot is done. The remaining commands just add more bells and whistles for a nicer plot. 4. `scale_y_continuous(label=scales::percent)` causes my proportions on the y-axis to reported as percents. 5. The `labs` command can be used to add nice labeling of axes and to create titles and captions. 6. `theme_bw` defines a theme for the overall plot. I prefer `theme_bw` to the default theme in `ggplot`. --- ## Code and output .pull-left[ ```r ggplot(politics, aes(x=party, y=..prop.., group=1))+ geom_bar()+ scale_y_continuous(label=scales::percent)+ labs(x="party affiliation", y=NULL, title="Distribution of party affiliation", caption="Source: ANES 2016")+ theme_bw() ``` ] .pull-right[  ] --- ## Visualize quantitative variables with a histogram  --- ## How a histogram is created -- 1. We break the variable into equivalent intervals called **bins**. For a histogram of movie runtime length, we might use bins of 5 minutes width, so our bins would look like 0-5 minutes, 5-10 minutes, 10-15 minutes, 15-20 minutes, etc. -- 2. We calculate the frequency of observations that fall into each bin. Technically, we need to decide which bin to put cases that straddle two bins (e.g. exactly 5 minutes). *R* defaults to putting these cases in the lower category. -- 3. We make a barplot of these frequencies, but we put no space between the bars. --- ## Code and output for making a histogram .pull-left[ ```r ggplot(movies, aes(x=Runtime))+ geom_histogram(fill="skyblue", color="black", binwidth=5)+ labs(x="runtime in minutes", title="Distribution of movie runtime")+ theme_bw() ``` * You only need an `x` aesthetic for a histogram which is just your variable * use `binwidth` to specify the width of the bins * use `fill` and `color` to specify the fill and border color respectively for your bars ] .pull-right[  ] --- class: center, middle   --- ## What are we looking for in a histogram? .pull-left[ ### Shape Is it symmetric or skewed? ### Center Where is the center or peak of the distribution and is there only one? ### Spread How spread out are the values around the center? ### Outliers Are there any observations that have relatively very high or low values? ] .pull-right[  ] --- class: inverse, center, middle background-image: url(images/willie-fineberg-64iuIOektb4-unsplash.jpg) background-size: cover # The Center of a Distribution --- ## What does "center" mean? -- ### Mean The mean is the **balancing point** of a distribution. Imagine trying to put a column underneath a histogram so that it does not tip one direction or the other. This balancing point is the mean. -- ### Median The median is the **midpoint** of the distribution. At this point, 50% of the observations have lower values, and 50% have higher values. -- ### Mode The mode is the **high point** of the distribution, or the peak. It is typically much less useful than the other two measures. --- ## The mean and the median  --- ## Calculating the mean The mean (represented mathematically as `\(\bar{x}\)`) is calculated by taking the sum of the variable divided by the number of observations, or in math speak: `$$\bar{x}=\frac{\sum_{i=1}^n x_i}{n}$$` -- ### 😱 Equations??!! Don't panic! We will walk through what these symbols mean. -- * `\(x_i\)`: We use a lower-case letter like `\(x\)` or `\(y\)` to refer to a generic variable. The subscript indicates a particular observation. So, `\(x_1\)` means the value of variable `\(x\)` for the first observation. The `\(x_i\)` subscripts means some generic observation's value of `\(x\)`. -- * `\(n\)`: We use `\(n\)` to refer generically to the number of observations. So, `\(x_n\)` gives the value of `\(x\)` for the last observation. -- * We use the `\(\sum (something)\)` term to say sum something up. In this case, `\(\sum_{i=1}^n x_i\)` means to "sum the variable `\(x\)` from the first observation to the last." --- ## Calculate the mean in *R* `$$\bar{x}=\frac{\sum_{i=1}^n x_i}{n}$$` To calculate the mean we just sum up all the values of `\(x\)` and divide by the number of observations. The `sum` command will sum up a variable and the `nrow` command will give us the number of observations, so: ```r sum(movies$Runtime)/nrow(movies) ``` ``` ## [1] 105.2256 ``` The mean move runtime is 105.2 minutes. -- Alternatively, we could just use the `mean` command in R: 😎 ```r mean(movies$Runtime) ``` ``` ## [1] 105.2256 ``` --- ## Calculating the median .pull-left[ ### The Midpoint * We just need to sort the observations from smallest to largest and pick the exact middle point of the distribution. * If there are an odd number of observations, there will always be an exact midpoint. * If we have an even number of observations, we have to take the two values closest to the midpoint and take their mean. ] -- .pull-right[ ```r nrow(movies) ``` ``` ## [1] 2553 ``` With an odd number of 2553 movies, the exact midpoint is the 1277th movie. We can use the `sort` command to sort and then extract the 1277th movie by using square brackets: ```r sort(movies$Runtime)[1277] ``` ``` ## [1] 102 ``` Alternatively, we can use the `median` command: ```r median(movies$Runtime) ``` ``` ## [1] 102 ``` ] --- ## Why are the mean and median different? .pull-left[  ] -- .pull-right[ * In perfectly symmetric distributions, the mean and the median will be the same. In other words, the balancing point will be at the midpoint. * Skewness will "pull" the mean in the direction of the skew, but not the median. This is because the mean will need to move in that direction to maintain balance. * In highly skewed distributions, this can lead to significant differences between the median and the mean. ] --- ## Skewness can create large differences  --- ## Modal Categories .pull-left[ * We don't generally calculate measures of "center" for categorical variables. * Since the mode is the most common observation, we can make an exception for this case. * The **modal category** is the most frequent category in a categorical variable. ] .pull-right[  ] --- class: inverse, center, middle background-image: url(images/victoria-strukovskaya-OhL_qEqpef4-unsplash.jpg) background-size: cover # Percentiles and the Five-Number Summary --- ## Percentiles/Quantiles .pull-left[ * A given percentile tells you what percent of the distribution is below that number. * We have already seen one example of a percentile: the median. The median is the 50th percentile. 50% of the observations are below this value. * Percentiles are sometimes also called **quantiles**, but I will use the term percentile in this course. ] -- .pull-right[ ### Calculating percentiles in *R* The `quantile` command in R will calculate a given percentile. To calculate the percentile with this command, we need to add a second argument called `probs` where we feed in a list of proportions. So if we wanted to calculate the 13th and 76th percentile of movie runtime: ```r quantile(movies$Runtime, probs=c(0.13, 0.76)) ``` ``` ## 13% 76% ## 89 114 ``` 13% of movies are 89 minutes or shorter and 76% of movies are 114 minutes or shorter. ] --- ## The five-number summary .pull-left[ If I run the `quantile` command without the `probs` argument, I get: ```r quantile(movies$Runtime) ``` ``` ## 0% 25% 50% 75% 100% ## 45 93 102 114 219 ``` * The 25th percentile, 50th percentile, and 75th percentile are called the **quartiles** because they split the data into four equal quarters. * When combined with the minimum (0%) and maximum (100%), they create the **five-number summary**. ] -- .pull-right[  ] --- ## Anatomy of the boxplot  ??? * Use a single vertical number line * Draw a box with a bottom and top at the 25th and 75th percentiles * Inside the box, draw a thick line at the median * The height of the box is the difference between the 25th and 75th percentile which is called the **Interquartile range** or **IQR** for short. * Draw "whiskers" above and below the box. These whiskers should be drawn out to the maximum and minimum values or a total distance of 1.5 x IQR, whichever is shortest. * Plot out individual points that are beyond the 1.5 x IQR limit individually. --- ## Code and output for boxplot .pull-left[ ```r ggplot(movies, aes(x="", y=Runtime))+ geom_boxplot(fill="grey", outlier.color="red")+ labs(x=NULL, y="runtime in minutes", title="Boxplot of movie runtime")+ theme_bw() ``` * The `x=""` in the aesthetics is not necessary but does create a nicer looking x axis. * You can use `fill` to determine color of the box and `outlier.color` to determine color of individual points. ] .pull-right[  ] --- ## Detecting skewness in boxplots .pull-left[  ] .pull-right[  ] --- class: center, middle   --- class: inverse, center, middle background-image: url(images/priscilla-du-preez-3H0fHhhefsA-unsplash.jpg) background-size: cover # Measuring the Spread of a Distribution --- ## Distributions can vary in their spread  --- ## Measures of spread ### Interquartile Range The **Interquartile Range** (IQR) is the distance between the 25th and 75th percentile. It can be calculated by the `IQR` command in *R*: ```r IQR(movies$Runtime) ``` ``` ## [1] 21 ``` The 75th percentile of movie runtime is 21 minutes longer than the 25th percentile. -- ### Variance and Standard Deviation **Standard deviation** (SD) is the most common measure of spread in a variable. Loosely, standard deviation measures the average distance from the mean of all observations. **Variance** is the squared value of standard deviation. --- ## Calculating the standard deviation The standard deviation `\((s)\)` is calculated with the following formula: `$$s=\sqrt{\frac{\sum_{i=1}^n(x_i-\bar{x})^2}{n-1}}$$` -- ### 😮 More Equations??!! Don't panic! We will go through it one step at a time. -- `\((x_i-\bar{x})\)`: The distance between each observation's value and the mean. Some of these values are positive and some are negative. If we summed these values up across all observations, the sum would equal zero by definition. ```r distance <- movies$Runtime-mean(movies$Runtime) ``` -- `\((x_i-\bar{x})^2\)`: We square this distance to get rid of the negative values. ```r distance_sq <- distance^2 ``` --- ## Calculating the standard deviation `\(\sum_{i=1}^n(x_i-\bar{x})^2\)`: The sum of the squared distance, sometimes abbreviated *SSX*. ```r ssx <- sum(distance_sq) ``` -- `\(\sum_{i=1}^n(x_i-\bar{x})^2/(n-1)\)`: Dividing through by the number of observations gives us the "average" squared distance from the mean. This number is the **variance**. ```r variance <- ssx/(nrow(movies)-1) ``` --- ## Calculating the standard deviation `\(\sqrt{\sum_{i=1}^n(x_i-\bar{x})^2/(n-1)}\)`: Squared distance is a hard thing to conceptualize, so we square root to get back to distance. ```r sd <- sqrt(variance) sd ``` ``` ## [1] 16.72411 ``` The average movie is about 16.7 minutes away from the mean movie runtime. -- We can also just use the `sd` command: 😎 ```r sd(movies$Runtime) ``` ``` ## [1] 16.72411 ```


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Cafe Fontenebleu
Appetizers
- Roasted Tomato Soup - served with goat cheese croutons and basil puree.
- Summer Salad - organic butter lettuce with apples, blood oranges, and gorgonzola, tossed with raspberry vinaigrette.
- Fondue of Brie, Goat Cheese, and Gruyere - served with green apples and garlic crostini. Good for sharing.
- Crispy Flatbread - topped with asiago, prosciutto, and rocket.
- Yellow-fin Ahi Tatar - served on a bed of shredded cabbage with avocado relish and a green peppercorn dressing.
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Entrees
- Pancetta-wrapped Sea Scallops - drizzled with tarragon puree. Served with baked cauliflower au gratin in a tangy Gruyere sauce.
- Cajun Seafood Bouillabaisse - with crawfish, scallops, catfish, crab, and mussels. Served with Southern-style cornbread and honey butter.
- Cavatappi Pasta with Spicy Chickpea Sauce - tossed with grilled eggplant, green olives, and sun dried tomatoes. Topped with Mediterranean feta.
- Sage-rubbed Double-cut Pork Chop - topped with a ragout of mushrooms and chunky pancetta. Served with griddle corn cakes.
- Lasagna Bolognese - house-made pasta between layers of slow-cooked pork and beef Bolognese sauce. Served with organic asparagus.
- Sake-soaked Kobe Beef Tartar - served with fontina-stuffed squash blossom tempura with cream wasabi sauce.
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Desserts
- Tiramissu - cool, refreshing Italian dessert.
- Baked Pears with Caramel Sauce - topped with house-made vanilla-bean ice cream.
- Pumpkin Creme Brulee - served with our famous ginger snap cookies.
- New York Cheesecake - creamy traditional cheesecake topped with dark chocolate sauce and fresh-picked strawberries.
- Sacher Torte - three layers of dark chocolate cake, filled with house-made apricot jam, covered in a creamy, rich chocolate glaze.
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Friday catch of the day
- Alaskan Halibut with a Rich Loire Valley Beurre Blanc Sauce - served with mashed purple Peruvian potatoes and haricot verts.
- Recommended pairing: '98 Passi Emilio Vineyards Sauvignon Blanc
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Equine Pavilion in Aulesti / ELE Arkitektura
- Curated by Clara Ott
- about 21 hours
Other Structures · Aulestia, Spain
- version="1.0" encoding="UTF-8"? Architects: ELE Arkitektura
- AreaArea of this architecture projectArea: 160.0 ft2
- version="1.0" encoding="UTF-8"?YearCompletion year of this architecture project Year: 2017
- version="1.0" encoding="UTF-8"?PhotographsPhotographs: ELE Arkitektura
- Lead Architects Eduardo Landia, Eloi Landia
- Design Team Eduardo Landia, Eloi Landia
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Text description provided by the architects. Starting from a simple volume and a conventional structural system, it has been sought to emphasize the tectonics of each material, modulating each encounter and facilitating commissioning.
The use of reinforced concrete blocks placed in different positions solves the needs of ventilation while providing natural light to the interior.
The supporting structure, the galvanized steel sliding doors and the interior partitions are modulated according to the size of the concrete block, generating constructive coherence and dimensional coordination throughout the building.


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