Company profile - Canadian Company Capabilities
Third-Party Information Liability Disclaimer
Some of the information on this Web page has been provided by external sources. The Government of Canada is not responsible for the accuracy, reliability or currency of the information supplied by external sources. Users wishing to rely upon this information should consult directly with the source of the information. Content provided by external sources is not subject to official languages, privacy and accessibility requirements.
Sensors & Software Inc.
Mailing Address:
1040 Stacey Crt.MISSISSAUGA, Ontario
L4W 2X8
Location Address:
1040 Stacey Crt.MISSISSAUGA, Ontario
L4W 2X8
Tel.:<PHONE_NUMBER>
Tel.:<PHONE_NUMBER>
Fax:<PHONE_NUMBER>
Company Profile
Sensors & Software Inc. is the home of GPR advancement. We
design, develop, manufacture, sell and rent ground penetrating
radar instrumentation and software. Core company values are
technical excellence, continuous innovation and responsive
customer service.
Sensors & Software Inc. was formed in 1988 with the mandate to
commercialize the pulseEKKO GPR technology. The pulseEKKO
technology was focused on geological applications and
addressed goals developed by the Geological Survey of Canada
during the 1970s.
The innovative pulseEKKO GPR systems represented a major shift
from conventional GPR at the time and opened up opportunities
for GPR in a wide variety of areas not previously practical.
Starting with three people, Sensors & Software Inc. grew
steadily with the success of the pulseEKKO IV, enabling
continual investment in new product development. Innovation and
high quality product have always been part of our culture.
As the name indicates, software is a major part of Sensors &
Software Inc.s activities. Our robust, simple-to-use software
allows users to extract the maximum benefit from their GPR
information with the least time and effort. Current software
products include EKKO_Project, EKKO_Mapper and EKKO_Mapper 3D designed
specifically for processing and display of GPR data as well as
map and 3D image presentations.
Sensors & Software Inc.s professional staff are recognized
leaders in creating and supporting new applications for GPR.
Our dedicated and experienced staff provides customers with
unique, common-sense support based on extensive practical
experience.
Since the beginning, Sensors & Software Inc. has grown and
expanded its scope. Sensors & Software Inc. GPR products are
found in over 90 countries around the world along with informed
sales representatives. With over 40 professional staff to
service our customer needs we can readily address the broad
spectrum of GPR technology questions, needs and training.
Our commitment to our customers success propels our continuing
series of educational courses and associated training material.
Our quarterly newsletter, EKKO_Update, focuses
on technology applications.
Full profile
Full profile
Contact information
Company description
Product / Service / Licensing
in a variety of applications from deep subsurface sounding to
high definition mapping of shallow objects. These modular
systems are designed for the GPR professional contractor or
researcher with a variety of applications that demand
versatility and high performance.
Noggin GPR systems are complete, self contained, easy-to-use
instruments in a single monolithic package. These rugged units
are designed for productivity enhancement. Purchase, lease and
rental options are available.
Conquest is a high resolution GPR system designed specifically for
scanning concrete to detect embedded objects like rebar, conduit
and post-tension cables for avoidance when cutting and coring or
for structural engineering information like rebar spacing, depth and
deterioration.
in a variety of applications from deep subsurface sounding to
high definition mapping of shallow objects. This modular
system is designed for the GPR professional contractor or
researcher with a variety of applications that demand
versatility and high performance. The pulseEKKO PRO is high-fidelity,
modular system features bi-static operation, fully-digital
timing control for digital data acquisition.
Low frequency antennas are available with a range of frequencies (12.5, 25, 50, 100 and 200 MHz) that
provide deep sounding. The antennas use fibre optic cables to ensure the highest data quality with
minimal interference. The pulseEKKO PRO also offers 50, 100 and 200 MHz borehole
antennas to map areas inaccessible to surface GPR. Engineers, geologists and
environmental consultants typically use the low frequency antennas for mapping
depth to bedrock, mining development, groundwater studies, water table mapping,
glaciology and tomography imaging.
The higher frequency, shielded transducers are designed for high-resolution
subsurface mapping surveys. Frequncies of 250, 50 and 1000 MHz are available.
Engineers, consultants and contractors typically use the system
for utility detection, rebar and conduit location, road and
pavement analysis, concrete evalution, structural assessment,
forensics and archaeology.
The pulseEKKO PRO can be deployed in several configurations
including SmartCart, a 4-wheeled cart for data collection in open areas, SmartTow,
a hand-towed system for rough areas and SmartChariot, a vehicle-towed platform
for pavement surveys.
non-destructively map subsurface metallic and non-metallic objects,
define variations in soils, rocks and subsurface disturbances.
Available in 4 models (100, 250, 500 and 1000 MHz), these lightweight,
compact units offer affordability and ease-of-use. Noggins provides
full digital output to facilitate applications where post-survey processing
is beneficial.
Noggins can be deployed in several configurations
including SmartCart, a 4-wheeled cart for data collection in open areas, SmartTow,
a hand-towed system for rough areas and SmartChariot, a vehicle-towed platform
for pavement surveys.
destructive examination of concrete. Conquest can locate rebar,
conduit and post-tension cables embedded in a suspended slab or
slab-on-grade concrete. Unlike traditional X-rays, the
instrument is safe and easy-to-use.
Conquest images the work area, enabling users to avoid cutting
or drilling through embedded cables or conduits. Coupled with the
GPR sensor is a Power Cable Detector (PCD) that detects flowing
current in conduits within or under the slab. This feature adds a
second level of safety when scanning for objects. Operators are
guided through the acquistion by the menu on the
monitor screen. Once scanning is completed, Conquest produces plan-
map views at various depths in the slab under investigation,
allowing decisions to be made on-the-spot. Data can also be transferred
to a PC for for further analysis and report generatoin using the
EKKO_Project and ConquestView software, including 3D visualization.
measure the thickness of ice on the temporary winter ice roads
and bridges used in the frozen regions of Canada, Alaska, Europe
and Russia. This information is important to ensure the ice is thick
enough to support vehicles transporting people, goods and exploration
equipment.
IceMap is towed across the ice surface behind a truck or
snowmobile and the ice thickness data are wirelessly transferred
to a laptop computer in the tow vehicle and displayed in real-time
as a cross-sectional image. The bottom of ice is automatically
picked and thickness in cm or inches is displayed on the PC.
Rapid data acquisition enables the unit to be towed at speeds up
to 80 km per hour. The system is powered using a 12V battery.
Users can combine IceMap data with Global Positioning System (GPS)
readings for precise correlation of ice thickness and geographic location.
PDF reports of the survey are automatically generated, including the
10 thinnest areas and statistics about the ice thickness along the survey
line. Data can then be exported in CSV or Google Earth KMZ file formats
to display plan-view maps of the ice thickness in GIS software or Google Earth.
Inc. for the ski industry to measure, inventory and manage their
snow.
SnowScan can measure snow thickness in real-time, allowing the
operator to optimize snow distribution, reduce water pumping and
water consumption for snow-making, reduce damage to
grooming machines and ultimately extend the ski season by days
or even weeks.
The SnowScan groomer sensor is mounted under the grooming
machine and is connected via cable to a laptop computer inside the
groomer's cab. When combined with GPS, map images of snow depth
can be quickly generated, allowing ski area managers to quickly
evaluate results of the previous night's grooming and snow-making operations.
Rescue Radar is tough, portable and simple to use with multiple language support. The GPR sensor communicates via wireless link to the operator's remote computer. The unit is totally self-contained and will run for 6 to 8 hours with the replaceable, rechargeable battery.
Market profile
Industry sector market interests:
- Consumer Products
- Environment
- Information Technology and Telecommunications
Geographic markets:
Export experience:
- Algeria
- Argentina
- Australia
- Austria
- Bangladesh
- Belarus
- Belgium
- Brazil
- British Indian Ocean Territory
- Bulgaria
- Chile
- China
- Colombia
- Croatia
- Czech Republic
- Denmark
- Ecuador
- Egypt
- El Salvador
- Estonia
- Finland
- France
- Germany
- Greece
- Greenland
- Hong Kong
- Hungary
- Iceland
- India
- Indonesia
- Iran, Islamic Republic of
- Ireland
- Israel
- Italy
- Japan
- Korea, Democratic People's Republic of
- Korea, Republic of
- Latvia
- Luxembourg
- Macedonia, The Former Yugoslav Republic of
- Malaysia
- Mexico
- Netherlands
- New Zealand
- Russian Federation
- United Kingdom
- United States
- Virgin Islands (British)
- Alabama
- Alaska
- Arizona
- Arkansas
- California
- Colorado
- Connecticut
- Delaware
- Florida
- Georgia
- Hawaii
- Idaho
- Illinois
- Indiana
- Iowa
- Kansas
- Kentucky
- Louisiana
- Maine
- Maryland
- Massachusetts
- Michigan
- Minnesota
- Mississippi
- Missouri
- Montana
- Nebraska
- Nevada
- New Hampshire
- New Jersey
- New Mexico
- New York
- North Carolina
- North Dakota
Actively pursuing:
- Botswana
- Cambodia
- Cameroon
- Central African Republic
- Chad
- Comoros
- Congo
- Cook Islands
- Costa Rica
- Cuba
- Dominican Republic
- Ethiopia
- Gabon
- Gambia
- Ghana
- Iraq
- Jordan
- Kenya
- Kiribati
- Kuwait
- Kyrgyzstan
- Lesotho
- Mozambique
- Namibia
- Niger
- Nigeria
Third-Party Information Liability Disclaimer
Some of the information on this Web page has been provided by external sources. The Government of Canada is not responsible for the accuracy, reliability or currency of the information supplied by external sources. Users wishing to rely upon this information should consult directly with the source of the information. Content provided by external sources is not subject to official languages, privacy and accessibility requirements.
Contacts
Contact information
Description
Company description
Products, services and licensing
Product / Service / Licensing
in a variety of applications from deep subsurface sounding to
high definition mapping of shallow objects. These modular
systems are designed for the GPR professional contractor or
researcher with a variety of applications that demand
versatility and high performance.
Noggin GPR systems are complete, self contained, easy-to-use
instruments in a single monolithic package. These rugged units
are designed for productivity enhancement. Purchase, lease and
rental options are available.
Conquest is a high resolution GPR system designed specifically for
scanning concrete to detect embedded objects like rebar, conduit
and post-tension cables for avoidance when cutting and coring or
for structural engineering information like rebar spacing, depth and
deterioration.
in a variety of applications from deep subsurface sounding to
high definition mapping of shallow objects. This modular
system is designed for the GPR professional contractor or
researcher with a variety of applications that demand
versatility and high performance. The pulseEKKO PRO is high-fidelity,
modular system features bi-static operation, fully-digital
timing control for digital data acquisition.
Low frequency antennas are available with a range of frequencies (12.5, 25, 50, 100 and 200 MHz) that
provide deep sounding. The antennas use fibre optic cables to ensure the highest data quality with
minimal interference. The pulseEKKO PRO also offers 50, 100 and 200 MHz borehole
antennas to map areas inaccessible to surface GPR. Engineers, geologists and
environmental consultants typically use the low frequency antennas for mapping
depth to bedrock, mining development, groundwater studies, water table mapping,
glaciology and tomography imaging.
The higher frequency, shielded transducers are designed for high-resolution
subsurface mapping surveys. Frequncies of 250, 50 and 1000 MHz are available.
Engineers, consultants and contractors typically use the system
for utility detection, rebar and conduit location, road and
pavement analysis, concrete evalution, structural assessment,
forensics and archaeology.
The pulseEKKO PRO can be deployed in several configurations
including SmartCart, a 4-wheeled cart for data collection in open areas, SmartTow,
a hand-towed system for rough areas and SmartChariot, a vehicle-towed platform
for pavement surveys.
non-destructively map subsurface metallic and non-metallic objects,
define variations in soils, rocks and subsurface disturbances.
Available in 4 models (100, 250, 500 and 1000 MHz), these lightweight,
compact units offer affordability and ease-of-use. Noggins provides
full digital output to facilitate applications where post-survey processing
is beneficial.
Noggins can be deployed in several configurations
including SmartCart, a 4-wheeled cart for data collection in open areas, SmartTow,
a hand-towed system for rough areas and SmartChariot, a vehicle-towed platform
for pavement surveys.
destructive examination of concrete. Conquest can locate rebar,
conduit and post-tension cables embedded in a suspended slab or
slab-on-grade concrete. Unlike traditional X-rays, the
instrument is safe and easy-to-use.
Conquest images the work area, enabling users to avoid cutting
or drilling through embedded cables or conduits. Coupled with the
GPR sensor is a Power Cable Detector (PCD) that detects flowing
current in conduits within or under the slab. This feature adds a
second level of safety when scanning for objects. Operators are
guided through the acquistion by the menu on the
monitor screen. Once scanning is completed, Conquest produces plan-
map views at various depths in the slab under investigation,
allowing decisions to be made on-the-spot. Data can also be transferred
to a PC for for further analysis and report generatoin using the
EKKO_Project and ConquestView software, including 3D visualization.
measure the thickness of ice on the temporary winter ice roads
and bridges used in the frozen regions of Canada, Alaska, Europe
and Russia. This information is important to ensure the ice is thick
enough to support vehicles transporting people, goods and exploration
equipment.
IceMap is towed across the ice surface behind a truck or
snowmobile and the ice thickness data are wirelessly transferred
to a laptop computer in the tow vehicle and displayed in real-time
as a cross-sectional image. The bottom of ice is automatically
picked and thickness in cm or inches is displayed on the PC.
Rapid data acquisition enables the unit to be towed at speeds up
to 80 km per hour. The system is powered using a 12V battery.
Users can combine IceMap data with Global Positioning System (GPS)
readings for precise correlation of ice thickness and geographic location.
PDF reports of the survey are automatically generated, including the
10 thinnest areas and statistics about the ice thickness along the survey
line. Data can then be exported in CSV or Google Earth KMZ file formats
to display plan-view maps of the ice thickness in GIS software or Google Earth.
Inc. for the ski industry to measure, inventory and manage their
snow.
SnowScan can measure snow thickness in real-time, allowing the
operator to optimize snow distribution, reduce water pumping and
water consumption for snow-making, reduce damage to
grooming machines and ultimately extend the ski season by days
or even weeks.
The SnowScan groomer sensor is mounted under the grooming
machine and is connected via cable to a laptop computer inside the
groomer's cab. When combined with GPS, map images of snow depth
can be quickly generated, allowing ski area managers to quickly
evaluate results of the previous night's grooming and snow-making operations.
Rescue Radar is tough, portable and simple to use with multiple language support. The GPR sensor communicates via wireless link to the operator's remote computer. The unit is totally self-contained and will run for 6 to 8 hours with the replaceable, rechargeable battery.
Market
Market profile
Industry sector market interests:
- Consumer Products
- Environment
- Information Technology and Telecommunications
Geographic markets:
Export experience:
- Algeria
- Argentina
- Australia
- Austria
- Bangladesh
- Belarus
- Belgium
- Brazil
- British Indian Ocean Territory
- Bulgaria
- Chile
- China
- Colombia
- Croatia
- Czech Republic
- Denmark
- Ecuador
- Egypt
- El Salvador
- Estonia
- Finland
- France
- Germany
- Greece
- Greenland
- Hong Kong
- Hungary
- Iceland
- India
- Indonesia
- Iran, Islamic Republic of
- Ireland
- Israel
- Italy
- Japan
- Korea, Democratic People's Republic of
- Korea, Republic of
- Latvia
- Luxembourg
- Macedonia, The Former Yugoslav Republic of
- Malaysia
- Mexico
- Netherlands
- New Zealand
- Russian Federation
- United Kingdom
- United States
- Virgin Islands (British)
- Alabama
- Alaska
- Arizona
- Arkansas
- California
- Colorado
- Connecticut
- Delaware
- Florida
- Georgia
- Hawaii
- Idaho
- Illinois
- Indiana
- Iowa
- Kansas
- Kentucky
- Louisiana
- Maine
- Maryland
- Massachusetts
- Michigan
- Minnesota
- Mississippi
- Missouri
- Montana
- Nebraska
- Nevada
- New Hampshire
- New Jersey
- New Mexico
- New York
- North Carolina
- North Dakota
Actively pursuing:
- Botswana
- Cambodia
- Cameroon
- Central African Republic
- Chad
- Comoros
- Congo
- Cook Islands
- Costa Rica
- Cuba
- Dominican Republic
- Ethiopia
- Gabon
- Gambia
- Ghana
- Iraq
- Jordan
- Kenya
- Kiribati
- Kuwait
- Kyrgyzstan
- Lesotho
- Mozambique
- Namibia
- Niger
- Nigeria


Trail's End Marathon
Seaside OR/USA
Race Winners
(29 runnings)
10 Apr
1999
2:49:01
3:02:04
04 Apr
1998
2:39:39
3:15:57
01 Mar
1997
2:40:30
3:19:09
02 Mar
1996
2:40:51
3:11:51
04 Mar
1995
2:33:32
3:19:00
19 Feb
1994
2:37:13
3:03:05
06 Mar
1993
2:28:14
3:10:50
22 Feb
1992
2:26:30
3:04:24
23 Feb 1991
2:27:33
2:54:07
1990
---
---
25 Feb
1989
2:27:07
2:50:15
27 Feb
1988
2:38:55
2:54:43
28 Feb
1987
2:31:20
2:50:27
22 Feb
1986
2:24:57
3:04:36
23 Feb
1985
2:21:49
2:53:41
25 Feb
1984
2:23:00
2:48:23
26 Feb
1983
2:21:36
2:53:54
27 Feb
1982
2:21:46
2:41:21
28 Feb
1981
2:24:19
3:03:55
23 Feb
1980
2:19:30
2:57:46
24 Feb
1979
2:20:03.8
2:50:32
25 Feb
1978
2:21:44a
2:46:46a
26 Feb
1977
2:14:43.6a
2:55:34a
28 Feb
1976
2:17:13a
3:04:26a
22 Feb
1975
2:21:26.5a
2:56:07a
23 Feb
1974
2:16:28.4a
3:14:40a
24 Feb
1973
2:20:16.4a
3:27:15a
26 Feb
1972
2:22:59.9a
3:27:13a
27 Feb
1971
2:21:09.8
3:26:28
28 Feb
1970
2:20:58
3:02:53
Note: 1970 was the inaugural year. The 1990 race was not held because the Seaside Chamber of Commerce dropped its
sponsorship; the 1991 and subsequent races were sponsored by the Oregon Road Runners Club. The 1993 race was postponed
from its scheduled date of 20 Feb 1993 due to a snowstorm; forty runners ran unofficially with "winners"
Kevin Olson in 2:58:42 and Debra Stolt-Krichko in 4:05:40. The 1998 and 1999 races were held in Warrenton OR. The
race scheduled for 01 Apr 2000 was cancelled due to financial difficulties. The 1972-1978 races were held on a
point-to-point course.
Derek Griffiths
Ellie Nolan
Tom Tisell
Sandy Wiebe
Ulrich Steidl (GER)
Kary Schaefer
Clifford Bannister (OR/USA)
Laura Baird-Devine (WA/USA)
David Petersen-2
Michele Radin (WA/USA)
Shaun Endsley
Teri Loew
Dave Johnson
Valerie Caldwell
David Petersen (OR/USA)
Bernadette Duffy (CAN)
Frank Knight (OR/USA)
Monica Maier (OR/USA)
not held
not held
Craig Fram (MA/USA)
Heather Tolford (OR/USA)
Joshua Sacon
Terry Gerber (USA)
Jim Bowers-2
Joy Wolfe (USA)
Terry Heath-4
Dianne Johnson-2
Alan Knoop-2
Dianne Johnson (WA/USA)
Terry Heath-3
Bridget Cooke (OR/USA)
Alan Knoop (USA)
Kathy Outlaw (USA)
Terry Heath-2
Gail Kingma-2
Jim Bowers (42,CA/USA)
Judy Dodge (CA/USA)
Terry Heath (ID/USA)
Sue Lee (CA/USA)
Harold Schultz (CA/USA)
Gail Kingma (WA/USA)
Sam Williams (USA)
Irene Griffith-2
Brian Maxwell-2
Irene Griffith (16,WA/USA)
Brian Maxwell (CAN)
Debbie Koffel (11,OR/USA)
Tom Heinonen (OR/USA)
Lili Ledbetter (13,OR/USA)
Thomas Howard (CAN)
Maria Brzezinska (WA/CAN)
Jerry Tighe (CAN)
Debbie Collins (USA)
Russ Pate (SC/USA)
Elaine Pedersen (CA/USA)
Bruce Mortensen (MN/USA)
Vicki Foltz (WA/USA)
Ken Moore (OR/USA)
Caroline Walker (OR/USA)
Most Wins (1970-1999)
Men
4
Terry Heath (ID/USA)
1980,1982,1984,1986
Women
2
Irene Griffith (WA/USA)
1977-78
.
Gail Kingma (WA/USA)
1979,1982
.
Dianne Johnson (WA/USA)
1985-86
Prize Money
(ADR qualified runners)
No prize money has been awarded at this race according to available information.
Race Time Bias
(sec/km)
Insufficient data to calculate the race time bias.
Competitive Level
(1990-date)
Insufficient data to calculate the competitive level.
Quality Performances
Men <2:15 2 <2:16 2 <2:17 3 <2:18 6 <2:19 8 <2:20 10 Women <2:42 1 <2:44 1 <2:46 2 <2:48 4 <2:50 6
Last Updated on 22 Sep 2007
Contributors: Martin Rix, Maurice Wilson (31), Jim Pearson (2), Jack Leydig (5)


@(competitions: List[pa.Season], teams: List[pa.Team])(implicit context: model.ApplicationContext, request: RequestHeader) @views.html.football.main("Player cards") {


Updated July 1, 2015 |
|
Updated May 2, 2015 |
|
Updated January 20, 2010 |
|
To view the Owner's Manual you may use Adobe Acrobat Reader software. Click here to download. Updated March 1, 2014 |
|
Updated August 30, 2012 |
For a free car insurance rate quote that could save you substantial money
www.geico.com or call 1-888-395-6349, 24 hours a day
If you have any comments about our WEB page, you can either write us at the address shown above or e-mail us at<EMAIL_ADDRESS>However, due to the limited number of personnel in our corporate office, we are unable to provide a direct response.


Doge Social Network
Home
Profile
Friends
Friends of Doge
Such Friends
best friend
Many Friends
unknown
Wow
yeah, right


This post proposes a great refresher on maximum likelihood estimation, maximum a posteriori, ordinary least square, gradient descent and even MCMC parameter estimation using Metropolis-Hastings sampling. The setting is simple: one problem (linear regression) and four ways to formulate the problem and solve it. As always with Peter Roelants, code and plots are provided.
This series of articles presents the GP CaKe model (initially published at NIPS 2017). This model can be thought as an alternative to vector autoregression and dynamical systems theory for time-series prediction. In this first edition, we get a refresher of VAR and DST as well as an introductory example to GP CaKe.
modAL is an active learning framework for Python3, designed with modularity, flexibility and extensibility in mind. Built on top of scikit-learn, it allows you to rapidly create active learning workflows with nearly complete freedom. What is more, you can easily replace parts with your custom built solutions, allowing you to design novel algorithms with ease.
Note that the Github page offers nice explanations and visuals.
[...] Our results have several implications: 1) training a large, over-parameterized model is not necessary to obtain an efficient final model, 2) learned 'important' weights of the large model are not necessarily useful for the small pruned model, 3) the pruned architecture itself, rather than a set of inherited 'important' weights, is what leads to the efficiency benefit in the final model, which suggests that some pruning algorithms could be seen as performing network architecture search.
In this work submitted to ICLR 2019, authors explore the actual benefits of pruning a large network. Surprisingly, they find that to achieve a same level of performance, it is not necessary to first train a large model and then prune it. Training from scratch the smaller architecture is enough to reach the same performance. Authors provide code for their experiments.
Remember the Detectron repo? It was actually featuring in the third issue of this newsletter, back in January 2018! Well time flies and so does technology, and software. Taking advantage of PyTorch 1.0, this repo offers implementations and weights of RPN, Faster R-CNN and Mask R-CNN that match or exceed Detectron in terms of accuracy. But two times faster. With training code, support for batched inference, multi-GPU training and inference,... A great resource once again!
Back in April, Nvidia was publishing Image Inpainting for Irregular Holes Using Partial Convolutions to ECCV. Needless to say the results were astonishing. Mr Gruber decided to implement the method and to open source his code. His results are just as breath-taking as the ones in the paper!
Generative models are widely viewed to be robust to such mistaken confidence as modeling the density of the input features can be used to detect novel, out-of-distribution inputs. In this paper we challenge this assumption. We find that the model density from flow-based models, VAEs and PixelCNN cannot distinguish images of common objects such as dogs, trucks, and horses (i.e. CIFAR-10) from those of house numbers (i.e. SVHN), assigning a higher likelihood to the latter when the model is trained on the former.
I came across this paper while reading Deep Anomaly Detection with Outlier Exposure where a density-estimation model was trained on CIFAR-10. Yet it assigned higher densities to images from SVHN compared to images from CIFAR-10! This submission to ICLR 2019 precisely explores this phenomena. Considering that most cutting-edge out-of-distribution classifiers are based on a similar density-estimation framework, there is no doubt this work will receive some interest.
[...] Learned optimizers are notoriously difficult to train and have yet to demonstrate wall-clock speedups over hand-designed optimizers, and thus are rarely used in practice. [...] In this work we propose a training scheme which overcomes both of these difficulties, by dynamically weighting two unbiased gradient estimators for a variational loss on optimizer performance. This allows us to train neural networks to perform optimization of a specific task faster than well tuned first-order methods. [...]
Perhaps at nights you have nightmares where the words CUDA error: out of memory haunt you. Fear not, this blog post will give you a few tips to solve your problems. A wide range of solutions is proposed: parallel training, distributing training, gradient-checkpointing,... Note that it is mostly intended to PyTorch users.


Write
HTML
CSS
Javascript
HTML boilerplate
This is HTML boilerplate
var i = 43;
Javascript Bolierplate
This is javascript boilerplate
var i = 43;
Compose your snippet
Add Snippet
Snippet Added ✔


Honzi
/
Bookmarks
/
Music
/Aphex Twin
#1
#3
4
#13
#20
Ageispolis
Alberto Balsalm
Analogue Bubblebath
Avril 14th
D-Scape
Film
Heliosphan
IZ-US
Milk Man
Polynomial-C
Ptolemy
Pulsewidth
Stone Out of Focus
Tha
Xtal


property Window: Single;
The size of the associated visible area:
In case the value of the property is set to zero, range bar assumes that it is equal to its own size, as shown in the picture above.
Using this property is required when the size of the scrollable window is different from the size of the range bar.


Add a point to the information security policy that forbids sending unencrypted cardholder data. Make an explicit reference to instant messaging software and PANs.
Not using messaging programs to send unencrypted PANs prevents the possibility of them being read by an attacker if intercepted.
Add a point to the information security policy that forbids employees from sending unencrypted PANs using instant messaging software. Instruct staff members to not use instant messaging software to send unencrypted PANs.


ryo-wallet-cli --do-not-relay
create a transaction which will be written to a file
cat raw_ryo_tx | xclip -selection clipboard
certutil.exe -encode -f raw_ryo_tx encoded.txt & type "encoded.txt" | clip
ryo-wallet-rpc
and create a transaction with the do_not_relay
and get_tx_hex
parameters set to true
tx_blob
into the form above
ryo-wallet-cli
with a view-only wallet opened and create a transaction
base64 unsigned_ryo_tx | xclip -selection clipboard
certutil.exe -encode -f unsigned_ryo_tx encoded.txt & type "encoded.txt" | clip
ryo-wallet-cli
with the corresponding hot wallet and run sign_transfer
base64 signed_ryo_tx | xclip -selection clipboard
certutil.exe -encode -f signed_ryo_tx encoded.txt & type "encoded.txt" | clip


This is the official 'Jazz' client. 'Jazz' is a lightweight modular data processing framework, including a web server. It provides data persistence and computation capabilities accessible from 'R' and 'Python' and also through a REST API. <https://github.com/bbvadata/Jazz> See ?rjazz::rjazz to get a 'Jazz' server.
| Version: | 0.1.7 |
| Depends: | R (≥ 3.1.0) |
| Imports: | stats, RCurl |
| Published: | 2018-03-21 |
| Author: | Santiago Basaldua [aut, cre], Banco Bilbao Vizcaya Argentaria, S.A. [cph] |
| Maintainer: | Santiago Basaldua <kaalam at kaalam.ai> |
| License: | Apache License (== 2.0) |
| NeedsCompilation: | no |
| CRAN checks: | rjazz results |
| Reference manual: | rjazz.pdf |
| Package source: | rjazz_0.1.7.tar.gz |
| Windows binaries: | r-devel: rjazz_0.1.7.zip, r-release: rjazz_0.1.7.zip, r-oldrel: rjazz_0.1.7.zip |
| OS X binaries: | r-release: rjazz_0.1.7.tgz, r-oldrel: rjazz_0.1.7.tgz |
Please use the canonical form https://CRAN.R-project.org/package=rjazz to link to this page.


Slardar is a Slithereen, one of the Deep Ones, guardian of the great wealth of sunken cities and the ancient riches buried there. In the lightless gulf of the great ocean abysses, the Slithereen Guard carries his lure-light with him through the secret treasure rooms. Subaqueous thieves (sent into the deeps by covetous dryland sorcerers) are drawn in by its friendly glow, never to return. He is utterly loyal, and his taciturn nature hides deep knowledge of the most secret places of the sea. He rises to the shallows in spite of the pain caused him by brightness, to commit reconnaissance, to make sure no one is conspiring against the depths, and sometimes in relentless pursuit of the rare few who manage to steal off with an item from the Sunken Treasury. Because he has spent his whole life at great pressure, under tremendous weight of the sea, Slardar the Slithereen Guard is a creature of great power.


SlothPI - The math sloth
SlothPI
Excercises
Clock (Excercise 1)
Complex Numbers (Excercise 2)
Binary/Hex Converter (Excercise 3)
Factorial (Excercise 4)
Sloth-Quiz (Excercise 5)
Age Converter (Excercise 6)
Canvas
Who made what (in ILIAS)?
About Sloths
General
Habitat
Food
About
Age Converting with SlothPI
Home
Excercises
Age Converter (Excercise 6)
Your Age:
Answer:
Ask SlothPI


Meme Generator
Create memes by uploading image or taking photo.
Fork me on
Github
Drag & Drop an image or use any of the alternative upload methods to generate your meme.
The images are processed without being stored on any server.
Image upload options
Upload from gallery
Upload from file
Upload from URL
Take photo
Use solid color
Image URL
Loading...
Submit
Take Photo
Color:
Width:
Height:
Text options
Add text
Generate Meme
Licensed under
The MIT License (MIT)
Capture image
×
Download Meme
×
Download
Share


sweet_xml v0.6.4 SweetXml
SweetXml
is a thin wrapper around :xmerl
. It allows you to convert a
string or xmlElement record as defined in :xmerl
to an elixir value such
as map
, list
, char_list
, or any combination of these.
For normal sized documents, SweetXml
primarily exposes 3 functions
SweetXml.xpath/2
- return a value based on the xpath expressionSweetXml.xpath/3
- similar to above but allowing nesting of mappingSweetXml.xmap/2
- return a map with keywords mapped to values returned from xpath
For something larger, SweetXml
mainly exposes 1 function
SweetXml.stream_tags/3
- stream a given tag or a list of tags, and optionally “discard” some dom elements in order to free memory during streaming for big files which cannot fit entirely in memory
Examples
Simple Xpath
iex> import SweetXml
iex> doc = "
Some linked title
"
iex> doc |> xpath(~x"//a/text()")
'Some linked title'
Nested Mapping
iex> import SweetXml
iex> doc = "
Message

One

Two

"
iex> doc |> xpath(~x"//header", message: ~x"./p/text()", a_in_li: ~x".//li/a/text()"l)
%{a_in_li: ['Two'], message: 'Message'}
Streaming
iex> import SweetXml
iex> doc = ["

l1

l2", "

l3

"]
iex> SweetXml.stream_tags(doc, :li)
...> |> Stream.map(fn {:li, doc} ->
...> doc |> SweetXml.xpath(~x"./text()")
...> end)
...> |> Enum.to_list
['l1', 'l2', 'l3']
For more examples please see help for each individual functions
The ~x Sigil
Notice in the above examples, we used the expression ~x"//a/text()"
to
define the path. The reason is it allows us to more precisely specify what
is being returned.
~x"//some/path"
without any modifiers,
xpath/2
will return the value of the entity if the entity is of typexmlText
,xmlAttribute
,xmlPI
,xmlComment
as defined in:xmerl
~x"//some/path"e
e
stands for (e)ntity. This forcesxpath/2
to return the entity with which you can further chain yourxpath/2
call~x"//some/path"l
‘l’ stands for (l)ist. This forces
xpath/2
to return a list. Withoutl
,xpath/2
will only return the first element of the match~x"//some/path"el
- mix of the above~x"//some/path"k
‘k’ stands for (K)eyword. This forces
xpath/2
to return a Keyword instead of a Map.~x"//some/path"s
‘s’ stands for (s)tring. This forces
xpath/2
to return the value as string instead of a char list.x"//some/path"o
‘o’ stands for (O)ptional. This allows the path to not exist, and will return nil.
~x"//some/path"sl
- string list.
Notice also in the examples section, we always import SweetXml first. This
makes x_sigil
available in the current scope. Without it, instead of using
~x
, you can do the following
iex> doc = "
Some linked title
"
iex> doc |> SweetXml.xpath(%SweetXpath{path: '//a/text()', is_value: true, cast_to: false, is_list: false, is_keyword: false})
'Some linked title'
Note the use of char_list in the path definition.
Summary
Functions
doc
can be
sigil_x/2
simply returns a SweetXpath
struct, with modifiers converted to
boolean fields
Create an element stream from a xml doc
Most common usage of streaming: stream a given tag or a list of tags, and optionally “discard” some dom elements in order to free memory during streaming for big files which cannot fit entirely in memory
Tags %SweetXpath{}
with fun
to be applied at the end of xpath
query
xmap
returns a mapping with each value being the result of xpath
xpath
allows you to query an xml document with xpath
Functions
doc
can be
- a byte list (iodata)
- a binary
- any enumerable of binaries (for instance
File.stream!/3
result)
options
are xmerl
options described here http://www.erlang.org/doc/man/xmerl_scan.html,
see the erlang tutorial for usage.
When doc
is an enumerable, the :cont_fun
option cannot be given.
Return an xmlElement
record
sigil_x/2
simply returns a SweetXpath
struct, with modifiers converted to
boolean fields
iex> SweetXml.sigil_x("//some/path", 'e')
%SweetXpath{path: '//some/path', is_value: false, cast_to: false, is_list: false, is_keyword: false}
or you can simply import and use the ~x
expression
iex> import SweetXml
iex> ~x"//some/path"e
%SweetXpath{path: '//some/path', is_value: false, cast_to: false, is_list: false, is_keyword: false}
Valid modifiers are e
, s
, l
and k
. Below is the full explanation
~x"//some/path"
without any modifiers,
xpath/2
will return the value of the entity if the entity is of typexmlText
,xmlAttribute
,xmlPI
,xmlComment
as defined in:xmerl
~x"//some/path"e
e
stands for (e)ntity. This forcesxpath/2
to return the entity with which you can further chain yourxpath/2
call~x"//some/path"l
‘l’ stands for (l)ist. This forces
xpath/2
to return a list. Withoutl
,xpath/2
will only return the first element of the match~x"//some/path"el
- mix of the above~x"//some/path"k
‘k’ stands for (K)eyword. This forces
xpath/2
to return a Keyword instead of a Map.~x"//some/path"s
‘s’ stands for (s)tring. This forces
xpath/2
to return the value as string instead of a char list.x"//some/path"o
‘o’ stands for (O)ptional. This allows the path to not exist, and will return nil.
~x"//some/path"sl
- string list.~x"//some/path"i
‘i’ stands for (i)nteger. This forces
xpath/2
to return the value as integer instead of a char list.~x"//some/path"f
‘f’ stands for (f)loat. This forces
xpath/2
to return the value as float instead of a char list.~x"//some/path"il
- integer list
Create an element stream from a xml doc
.
This is a lower level API compared to SweetXml.stream_tags
. You can use
the options_callback
argument to get fine control of what data to be streamed.
doc
is an enumerable, data will be pulled during the result stream enumeration. e.g.File.stream!("some_file.xml")
options_callback
is an anonymous functionfn emit -> xmerl_opts
use it to define your :xmerl callbacks and put data into the stream usingemit.(elem)
in the callbacks.
For example, here you define a stream of all xmlElement
:
iex> import Record
iex> doc = ["
Som", "e linked titleother
"]
iex> SweetXml.stream(doc, fn emit ->
...> [
...> hook_fun: fn
...> entity, xstate when is_record(entity, :xmlElement)->
...> emit.(entity)
...> {entity, xstate}
...> entity, xstate ->
...> {entity,xstate}
...> end
...> ]
...> end) |> Enum.count
3
Most common usage of streaming: stream a given tag or a list of tags, and optionally “discard” some dom elements in order to free memory during streaming for big files which cannot fit entirely in memory.
Note that each matched tag produces it’s own tree. If a given tag appears in the discarded options, it is ignored.
doc
is an enumerable, data will be pulled during the result stream enumeration. e.g.File.stream!("some_file.xml")
tags
is an atom or a list of atoms you want to extract. Each stream element will be{:tagname, xmlelem}
. e.g. :li, :headeroptions[:discard]
is the list of tag which will be discarded: not added to its parent DOM.
Examples:
iex> import SweetXml
iex> doc = ["

l1

l2", "

l3

"]
iex> SweetXml.stream_tags(doc, :li, discard: [:li])
...> |> Stream.map(fn {:li, doc} -> doc |> SweetXml.xpath(~x"./text()") end)
...> |> Enum.to_list
['l1', 'l2', 'l3']
iex> SweetXml.stream_tags(doc, [:ul, :li])
...> |> Stream.map(fn {_, doc} -> doc |> SweetXml.xpath(~x"./text()") end)
...> |> Enum.to_list
['l1', 'l2', 'l3', nil]
Becareful if you set options[:discard]
. If any of the discarded tags is nested
inside a kept tag, you will not be able to access them.
Examples:
iex> import SweetXml
iex> doc = ["", "<title>XML</title", "><title>Nested</title>"]
iex> SweetXml.stream_tags(doc, :header)
...> |> Stream.map(fn {_, doc} -> SweetXml.xpath(doc, ~x".//title/text()") end)
...> |> Enum.to_list
['Nested', 'XML']
iex> SweetXml.stream_tags(doc, :header, discard: [:title])
...> |> Stream.map(fn {_, doc} -> SweetXml.xpath(doc, ~x"./title/text()") end)
...> |> Enum.to_list
[nil, nil]
Tags %SweetXpath{}
with fun
to be applied at the end of xpath
query.
Examples
iex> import SweetXml
iex> string_to_range = fn str ->
…> [first, last] = str |> String.split(“-“, trim: true) |> Enum.map(&String.to_integer/1)
…> first..last
…> end
iex> doc = “
xmap
returns a mapping with each value being the result of xpath
Just as xpath
, you can nest the mapping structure. Please see xpath
for
more detail.
Examples
Simple
iex> import SweetXml
iex> doc = "
Some linked title
"
iex> doc |> xmap(a: ~x"//a/text()")
%{a: 'Some linked title'}
With optional mapping
iex> import SweetXml
iex> doc = "
Message

One

Two

"
iex> doc |> xmap(message: ~x"//p/text()", a_in_li: ~x".//li/a/text()"l)
%{a_in_li: ['Two'], message: 'Message'}
With optional mapping and nesting
iex> import SweetXml
iex> doc = "
Message

One

Two

"
iex> doc
...> |> xmap(
...> message: ~x"//p/text()",
...> ul: [
...> ~x"//ul",
...> a: ~x"./li/a/text()"
...> ]
...> )
%{message: 'Message', ul: %{a: 'Two'}}
iex> doc
...> |> xmap(
...> message: ~x"//p/text()",
...> ul: [
...> ~x"//ul"k,
...> a: ~x"./li/a/text()"
...> ]
...> )
%{message: 'Message', ul: [a: 'Two']}
iex> doc
...> |> xmap([
...> message: ~x"//p/text()",
...> ul: [
...> ~x"//ul",
...> a: ~x"./li/a/text()"
...> ]
...> ], true)
[message: 'Message', ul: %{a: 'Two'}]
xpath
allows you to query an xml document with xpath.
The second argument to xpath is a SweetXpath
struct. The optional third
argument is a keyword list, such that the value of each keyword is also
either a SweetXpath
or a list with head being a SweetXpath
and tail being
another keyword list exactly like before. Please see examples below for better
understanding.
Examples
Simple
iex> import SweetXml
iex> doc = "
Some linked title
"
iex> doc |> xpath(~x"//a/text()")
'Some linked title'
With optional mapping
iex> import SweetXml
iex> doc = "
Message

One

Two

"
iex> doc |> xpath(~x"//header", message: ~x"./p/text()", a_in_li: ~x".//li/a/text()"l)
%{a_in_li: ['Two'], message: 'Message'}
With optional mapping and nesting
iex> import SweetXml
iex> doc = "
Message

One

Two

"
iex> doc
...> |> xpath(
...> ~x"//header",
...> ul: [
...> ~x"./ul",
...> a: ~x"./li/a/text()"
...> ]
...> )
%{ul: %{a: 'Two'}}


Busy Bee
New Chore Creation Modal
create a chore
Create A New Chore
×
Chore Name
Chore Details
Frequency
Daily
Weekly
Monthly
Yearly
Assigned To
You


Hi <%= @user_name %> ,
This is just a quick note to tell you that the creative process on your order <%= @order_number %> has started.
How long will it take?
Turnaround times vary from 24h deliveries (if selected at the checkout) to 1-5 working days (for spoken audio) and 7-10 working days (for sung audio). You can always contact for more accurate estimate.
Need More Audio?
Save 25%
Save 25% off your next order when you spend £200 or more!
Your unique code is: <%= @unique_code %>


Welcome
Maps
Interactive Map
Town Forest Map
Long Trails Map
Printable Maps
Activities
25 Places of Special Interest
Accessible Trail Walks
Bird Watching
Cross Country Skiing
Field Walks
Glacial Hikes
Horseback Riding
Kid Friendly Walks
Leaf Peeping
Light Walks
Mountain Biking Trails
Places To Camp
Places To Get Lost In
Places to Swim
River Walks
Properties
Groton Town Forest
Search
About Us
Settings
✓
Motion Detection
✓
High Accuracy
×
Search For Properties/Points of Interest


Pixi.js Basics
In this example we'll cover the basics of using a Stage
, Renderer
,
Sprite
and Texture
. We'll draw a simple leaf and rotate it.
var WIDTH = 400;
var HEIGHT = 300;
var stage = new PIXI.Stage(0xEEFFFF);
// let pixi choose WebGL or canvas
var renderer = PIXI.autoDetectRenderer(WIDTH, HEIGHT);
// attach render to page
document.body.appendChild(renderer.view);
var texture = PIXI.Texture.fromImage('img/leaf.png');
var leaf = new PIXI.Sprite(texture);
// rotate around center
leaf.anchor.x = 0.5;
leaf.anchor.y = 0.5;
// center in stage
leaf.position.x = WIDTH / 2;
leaf.position.y = HEIGHT / 2;
// place it on the stage for rendering
stage.addChild(leaf);
function gameLoop() {
requestAnimFrame(gameLoop);
leaf.rotation -= 0.02;
renderer.render(stage);
}
requestAnimFrame(gameLoop);
<!DOCTYPE html>
<html>
<head>
<link rel='stylesheet' type='text/css' href='../css/reset.css' />
<link rel='stylesheet' type='text/css' href='pixi-basics0-style.css' />
</head>
<body>
<script src="http://code.jquery.com/jquery-1.10.2.min.js"></script>
<script src="http://cdnjs.cloudflare.com/ajax/libs/underscore.js/1.4.4/underscore-min.js"></script>
<script src="js/vendor/gf.js" type="text/javascript"></script>
<script type='text/javascript' src='pixi-basics0-script.js'></script>
</body>
</html>
body {
margin: 0;
padding: 0;
}
Setup Stage and Renderer
First create a stage which is a logical rectangular area to place content. A renderer is responsible for drawing the stage onto the page using either Canvas or WebGL depending on the features of the browser.
var WIDTH = 400;
var HEIGHT = 300;
var stage = new PIXI.Stage(0xEEFFFF);
// let pixi choose WebGL or canvas
var renderer = PIXI.autoDetectRenderer(WIDTH, HEIGHT);
// attach render to page
document.body.appendChild(renderer.view);
Adding the Leaf
Let's create a sprite which is the basic visual unit in games. The visual appearance of a sprite is the texture assigned to it.
var texture = PIXI.Texture.fromImage('img/leaf.png');
var leaf = new PIXI.Sprite(texture);
// rotate around center
leaf.anchor.x = 0.5;
leaf.anchor.y = 0.5;
// center in stage
leaf.position.x = WIDTH / 2;
leaf.position.y = HEIGHT / 2;
// place it on the stage for rendering
stage.addChild(leaf);
Animation
To animate the sprite, we'll request an animation frame repeatedly using the same function, each time rotating the leaf by a fraction of a radiant. In this example, we use a negative value to animate the leaf in a counter-clockwise direction.
Most browsers limit the frame per second (fps) to 60. In other words each run of the game loop is a frame and in most browsers a trivial game's stage be updated no more than 60 times in a second. If the game loop is computationally expensive the fps will drop accordingly.
function gameLoop() {
requestAnimFrame(gameLoop);
leaf.rotation -= 0.02;
renderer.render(stage);
}
requestAnimFrame(gameLoop);


---
layout: default
title: Add Organization
permalink: /add-organization/
---
{% include breadcrumbs.html parent="Organizations" %}
This organization has been
created and the page is currently generating.
It will be available momentarily at
There was an error saving this page
Add Organization
{% include organization-form.html %}


I am 23 years old bachelor of Computer Applications i Amity Online university Worked as a full time vb.net and Oracle Developer At Ideal Solutions Company


The main aim of this is to provide a beatiful intuitave html boiler plate for notes and briefing
Copy and paste anythin in here to keep in mind.. usually email correspondances and images


(Trick Question:) What would be the discount if code were 'a' ?
0.3 — Notice that the code is a lower case 'a', not upper case.
break
There is one label per case
statement, and
there must be an exact match with the expression in the switch
for the case to be chosen.
The break
at the end of each case
is not always needed.
If it is omitted,
then after the statements in the selected case have executed,
execution will continue with the following case.
This is not usually what you want.
Examine
the following program:
class Switcher { public static void main ( String[] args ) { char color = 'Y' ; String message = "Color is"; switch ( color ) { case 'R': message = message + " red" ; case 'O': message = message + " orange" ; case 'Y': message = message + " yellow" ; case 'G': message = message + " green" ; case 'B': message = message + " blue" ; case 'V': message = message + " violet" ; default: message = message + " unknown" ; } System.out.println ( message ) ; } }
The program fragment will print:
Color is yellow green blue violet unknown
This is probably not what the program was intended to do.


| Total net profit | -9.66 | Gross profit | 19.64 | Gross loss | -29.3 |
| Profit factor | 0.67 | Expected payoff | -0.28 | ||
| Absolute drawdown | -15.76 | Maximal drawdown (%) | 16.63 (1911.49%) | ||
| Total trades | 35 | Profit trades (% of total) | 13 (37.14%) | Loss trades (% of total) | 22 (62.86%) |
| Long positions (won %) | 15 (20.0%) | Short positions (won %) | 20 (50.0%) | ||
| Largest | profit trade | 3.05 | loss trade | -2.93 | |
| Average | profit trade | 1.51 | loss trade | -1.33 | |
| Minimum | profit trade | 0.13 | loss trade | -0.02 | |
| Maximum | take profit in pips | 269.3 | stop loss in pips | -118.1 | |
| Average | take profit in pips | 262.4 | stop loss in pips | -90.7 | |
| Minimum | take profit in pips | 237.5 | stop loss in pips | -59.5 | |
| Maximum | Reward-Risk | 4.4 | Duration in minutes | 3914 | |
| Average | Reward-Risk | 3.0 | Duration in minutes | 1647.3 | |
| Minimum | Reward-Risk | 2.0 | Duration in minutes | 32 | |
| Maximum | consecutive wins (profit in money) | 7.0 (16.04) | consecutive losses (loss in money) | 10.0 (-16.63) | |
| Average | consecutive wins | 4.0 | consecutive losses | 7.0 |
| Total net profit | -17.68 | Gross profit | 3.31 | Gross loss | -20.99 |
| Profit factor | 0.16 | Expected payoff | -1.18 | ||
| Absolute drawdown | -17.68 | Maximal drawdown (%) | 17.81 (13700.0%) | ||
| Total trades | 15 | Profit trades (% of total) | 3 (20.0%) | Loss trades (% of total) | 12 (80.0%) |
| Largest | profit trade | 1.95 | loss trade | -2.93 | |
| Average | profit trade | 1.1 | loss trade | -1.75 | |
| Minimum | profit trade | 0.13 | loss trade | -0.25 | |
| Maximum | take profit in pips | 269.3 | stop loss in pips | -116.9 | |
| Average | take profit in pips | 261.4 | stop loss in pips | -96.6 | |
| Minimum | take profit in pips | 244.0 | stop loss in pips | -75.2 | |
| Maximum | Reward-Risk | 3.6 | Duration in minutes | 3498.0 | |
| Average | Reward-Risk | 2.8 | Duration in minutes | 1952.5 | |
| Minimum | Reward-Risk | 2.1 | Duration in minutes | 32.0 | |
| Maximum | consecutive wins (profit in money) | 2.0 (3.18) | consecutive losses (loss in money) | 8.0 (-10.02) | |
| Average | consecutive wins | 1.0 | consecutive losses | 4.0 |
| Total net profit | 8.02 | Gross profit | 16.33 | Gross loss | -8.31 |
| Profit factor | 1.97 | Expected payoff | 0.4 | ||
| Absolute drawdown | -4.92 | Maximal drawdown (%) | 5.66 (764.86%) | ||
| Total trades | 20 | Profit trades (% of total) | 10 (50.0%) | Loss trades (% of total) | 10 (50.0%) |
| Largest | profit trade | 3.05 | loss trade | -1.49 | |
| Average | profit trade | 1.63 | loss trade | -0.83 | |
| Minimum | profit trade | 0.34 | loss trade | -0.02 | |
| Maximum | take profit in pips | 269.0 | stop loss in pips | -118.1 | |
| Average | take profit in pips | 263.1 | stop loss in pips | -86.3 | |
| Minimum | take profit in pips | 237.5 | stop loss in pips | -59.5 | |
| Maximum | Reward-Risk | 4.4 | Duration in minutes | 3914.0 | |
| Average | Reward-Risk | 3.2 | Duration in minutes | 1418.3 | |
| Minimum | Reward-Risk | Duration in minutes | 101.0 | ||
| Maximum | consecutive wins (profit in money) | 9.0 (15.59) | consecutive losses (loss in money) | 6.0 (-5.66) | |
| Average | consecutive wins | 5.0 | consecutive losses | 6.0 |


SIDE PROJECTS -------------
[home]
If I ever get around to it, I'll write about some of my fun side-projects here.


Vmware Vsphere Client Download Page Esx Virtualization
Free Esxi 6 5 How To Download And Get License Keys Virten Net
Download Vmware Vsphere Hypervisor For Free
Vmware Esxi Free Download Configuration And License Virtualization Howto
Vsphere 6 5 Web Client
Vmware Vsphere 6 5 Esxi 6 5 Esxi Free Web Client Interface What S What Youtube
How To Download And Install Vmware Host Client Utility On Esxi 5 5
Generate And Download Esxi 6 5 Logs Thomas Krenn Wiki
Vmware Lic File Download
How To Create A Custom Esxi 6 5 Iso With Vmware Image Builder Gui Esx Virtualization
First Look At Easy Install Of Vmware Esxi 6 5 Preparing For Vsphere 6 5 Vcsa Youtube
Vmware Esxi 6 Download Iso Free Nightselfie
Html5 Based Vsphere Client And Vsphere Web Client In Vsphere 6 5
Download And Install Vsphere Client Connected To Esxi Youtube
Vmware Esxi 6 5 Download Garagemultifiles
Is Esxi Really Free Let S Put It To The Test
Download Vmware Vsphere 6 5 Iso Electrodealpro
Using Free Version Of Vmware Esxi And Back It Up
Download Vmware Esxi Client 5 5 Elyellow
How To Upgrade Esxi 6 0 To Esxi 6 5 Using Iso Image
Vmware Vsphere 6 5 Announced Today Here S How To Download It Fast Tinkertry It Home
Downloading An Esxi Offline Bundle Vmware Vsphere 6 5 Cookbook Third Edition
How To Download Complete Datastores And Sub Folders From Vmware Esxi 6 5 Flemming S Blog
Vsphere 6 0 Download Free Esxi 6 0 License Keys
Want Your Vsphere 6 5 Unmap Fixed Download This Patch Itzikr S Blog
Upgrade Esxi 6 5 Version Using The Offline Bundle Vmscrub
Introduction To The Vsphere Client 6 5 Youtube
The Final Boy Vmware Vsphere Hypervisor Esxi 6 5 0 4887370 X86 64 Iso 2017 Crack Showing 1 1 Of 1
How To Apply Vmware Free License To Vmware Esxi Esx Virtualization


Uses of Package
io.permazen
-
Packages that use io.permazen Package Description io.permazen Abstraction layer allowing access to aDatabase
using normal Java objects.io.permazen.annotation io.permazen.app Support for Permazen command line applications.io.permazen.change Classes passed to@OnChange
-annotated methods.io.permazen.cli Permazen Command Line Interface (CLI) classes.io.permazen.cli.cmd Permazen CLICommand
related classes, including pre-defined commands.io.permazen.cli.func Permazen CLI pre-definedFunction
s.io.permazen.cli.telnet Support for Permazen Command Line Interface (CLI) over telnet connections.io.permazen.demo Demonstration Java model classes.io.permazen.jsck.cmd CLI commands associated withJsck
, the Permazen key/value database consistency checker.io.permazen.kv.raft.cmd Raft-related CLICommand
s.io.permazen.maven Permazen Maven plugins.io.permazen.parse Permazen parsing related classes.io.permazen.parse.expr Classes for parsing Java expressions with Permazen-specific extensions.io.permazen.parse.func Function
used in aParseSession
, including built-ins.io.permazen.spring Spring Framework integration classes.io.permazen.vaadin Classes to facilitate Vaadin applications that interact with a Permazen database.io.permazen.vaadin.app Support for Permazen GUI applications based on Vaadin. -
Classes in io.permazen used by io.permazen Class Description CopyState Maintains state about a multi-object copy operation.Counter Represents a 64-bit counter value that can be adjusted concurrently by multiple transactions, typically without locking (depending on the underlying key/value store).EnumConverter JClass Information about a Java class that is used to represent a specific Permazen object type.JCollectionField Represents a collection field in aJClass
.JComplexField Represents a complex field in aJClass
.JCompositeIndex A composite index.JCounterField Represents a counter field in aJClass
.JEnumArrayField JEnumField JField Represents a field in a Java model object.JFieldSwitch Visitor pattern interface forJField
s.JListField Represents a list field in aJClass
.JMapField Represents a map field in aJClass
.JObject Interface implemented byPermazen
Java model objects.JReferenceField JSchemaObject JSetField Represents a set field in aJClass
.JSimpleField JTransaction A transaction associated with aPermazen
instance.Permazen Permazen Java persistence layer.PermazenFactory Factory forPermazen
instances.ReferencePath Reference paths.Session Utility class for programmaticPermazen
database access.Session.Action Callback interface used bySession.performSessionAction()
andSession.performSessionActionWithCurrentTransaction()
.Session.TransactionalAction Tagging interface indicating anSession.Action
that requires there to be an open transaction.SessionMode Session
modes.SnapshotJTransaction An in-memoryJTransaction
that persists indefinitely.StorageIdGenerator Used to auto-generate storage ID's for Java model classes, fields, and composite indexes when not specified explicitly in the corresponding@PermazenType
,@JField
, etc., annotations.UpgradeConversionPolicy Policies to apply when a simple or counter field's type changes during a schema update.ValidationMode Configures whether and how objects are enqueued for validation in aJTransaction
. -
Classes in io.permazen used by io.permazen.annotation Class Description UpgradeConversionPolicy Policies to apply when a simple or counter field's type changes during a schema update. -
Classes in io.permazen used by io.permazen.app Class Description PermazenFactory Factory forPermazen
instances. -
Classes in io.permazen used by io.permazen.change Class Description CopyState Maintains state about a multi-object copy operation.JObject Interface implemented byPermazen
Java model objects.JTransaction A transaction associated with aPermazen
instance. -
Classes in io.permazen used by io.permazen.cli Class Description Permazen Permazen Java persistence layer.Session Utility class for programmaticPermazen
database access. -
Classes in io.permazen used by io.permazen.cli.cmd Class Description Session.HasTransactionOptions Interface implemented bySession.TransactionalAction
's that want to provide custom transaction options.Session.TransactionalAction Tagging interface indicating anSession.Action
that requires there to be an open transaction.SessionMode Session
modes. -
Classes in io.permazen used by io.permazen.cli.func Class Description SessionMode Session
modes. -
Classes in io.permazen used by io.permazen.cli.telnet Class Description Permazen Permazen Java persistence layer. -
Classes in io.permazen used by io.permazen.demo Class Description JObject Interface implemented byPermazen
Java model objects. -
Classes in io.permazen used by io.permazen.jsck.cmd Class Description SessionMode Session
modes. -
Classes in io.permazen used by io.permazen.kv.raft.cmd Class Description Session.HasTransactionOptions Interface implemented bySession.TransactionalAction
's that want to provide custom transaction options.Session.RetryableAction Tagging interface indicating aSession.TransactionalAction
that should be retried if aRetryTransactionException
is thrown.Session.TransactionalAction Tagging interface indicating anSession.Action
that requires there to be an open transaction.SessionMode Session
modes. -
Classes in io.permazen used by io.permazen.maven Class Description Permazen Permazen Java persistence layer. -
Classes in io.permazen used by io.permazen.parse Class Description JField Represents a field in a Java model object.Permazen Permazen Java persistence layer.Session Utility class for programmaticPermazen
database access. -
Classes in io.permazen used by io.permazen.parse.expr Class Description JField Represents a field in a Java model object.JObject Interface implemented byPermazen
Java model objects.JSimpleField -
Classes in io.permazen used by io.permazen.parse.func Class Description SessionMode Session
modes. -
Classes in io.permazen used by io.permazen.spring Class Description JObject Interface implemented byPermazen
Java model objects.JTransaction A transaction associated with aPermazen
instance.Permazen Permazen Java persistence layer.SnapshotJTransaction An in-memoryJTransaction
that persists indefinitely.ValidationMode Configures whether and how objects are enqueued for validation in aJTransaction
. -
Classes in io.permazen used by io.permazen.vaadin Class Description CopyState Maintains state about a multi-object copy operation.JClass Information about a Java class that is used to represent a specific Permazen object type.JObject Interface implemented byPermazen
Java model objects.JTransaction A transaction associated with aPermazen
instance.Permazen Permazen Java persistence layer.Session Utility class for programmaticPermazen
database access. -
Classes in io.permazen used by io.permazen.vaadin.app Class Description JClass Information about a Java class that is used to represent a specific Permazen object type.JObject Interface implemented byPermazen
Java model objects.JSimpleField JTransaction A transaction associated with aPermazen
instance.Permazen Permazen Java persistence layer.


Go to the summary page
Return to query
Encountered an error or mistake? Let us know with our feedback form.


Hi, I'm Daniel, a British native that recently obtained a master's degree from the University of Missouri in data journalism. Currently, I'm an interactive journalist for the Guardian in London, and have also lived the good life in Missouri, New York and Texas. I've also been fortunate enough to walk through the corridors of Bloomberg, FiveThirtyEight and The Texas Tribune.
In my spare time, I watch NBA, follow severe weather and eat buffalo wings. If I'm not doing any of those things, I'm podcasting. Say hello!


Not Authorized
You can finalize the in progress drawings using this system.
Authenticate with Reddit
Built by /u/minlite


Welcome to MapQuiz by Esri
The game that tests your geographic literacy
Log In
High Scores
Play
High Scores
Log Out
Your Score
0pt
High Score
Ranking
Lifetime
Score
Progress
Award
Time Bonus
Total
wikipedia
Next
Home
New Game
High Scores
< Back
When
Today
This Month
This Year
All Time
Who
Just Me
Everyone


|
Ray Tracer Common Project
Image rendering program based on the ray tracing technique.
|
#include <material.hpp>
Public Member Functions | |
| Material (const color &diffuse, double reflexion=0.0, const photon &emission=photon(), const vector &disturbance=vector(0.0, 0.0, 1.0)) | |
| Make a new material. More... | |
| virtual color | diffuse (const element &e, const photon &external_light) const |
| Get the diffuse color of a surface element. More... | |
| virtual double | reflexion (const element &e, const photon &external_light) const |
| virtual photon | emission (const element &e, const photon &external_light) const |
| virtual vector | disturbance (const element &e, const photon &external_light) const |
Static Public Member Functions | |
| static Material * | defaultMaterial () |
| The default material. More... | |
Protected Attributes | |
| color | _diffuse |
| double | _reflexion |
| photon | _emission |
| vector | _disturbance |
Object material.
A material describes how a geometric element is rendered. More precisely, a material provides all informations needed by rt::ray to compute light comportement on a surface element.
A trivial attribute is the diffuse color of the material, the maner the material absorb the diffuse reflexion.
| rt::Material::Material | ( | const color & | diffuse, |
| double | reflexion = 0.0 , |
||
| const photon & | emission = photon() , |
||
| const vector & | disturbance = vector(0.0, 0.0, 1.0) |
||
| ) |
Make a new material.
| diffuse | The material diffuse color. |
|
static |
The default material.
Get the diffuse color of a surface element.
| e | A surface element attached (or not) to this material. |
Reimplemented in rt::TexturedMaterial, and rt::DayNightMaterial.


Implements interfaces:
TService class.
TService implements the basic methods required by IService and may be used as the basic class for application services.
Located in /TService.php (line 24)
TComponent | --TApplicationComponent | --TService
| Class | Description |
|---|---|
| TSoapService | TSoapService class |
| TJsonService | TJsonService class provides to end-users javascript content response in JSON format. |
| TFeedService | TFeedService class |
| TPageService | TPageService class. |
Initializes the service and attaches run to the RunService event of application.
This method is required by IService and is invoked by application.
Runs the service.
Inherited From TApplicationComponent
TApplicationComponent::getApplication()
TApplicationComponent::getRequest()
TApplicationComponent::getResponse()
TApplicationComponent::getService()
TApplicationComponent::getSession()
TApplicationComponent::getUser()
TApplicationComponent::publishAsset()
TApplicationComponent::publishFilePath()
Inherited From TComponent
TComponent::addParsedObject()
TComponent::attachEventHandler()
TComponent::canGetProperty()
TComponent::canSetProperty()
TComponent::createdOnTemplate()
TComponent::detachEventHandler()
TComponent::evaluateExpression()
TComponent::evaluateStatements()
TComponent::getEventHandlers()
TComponent::getSubProperty()
TComponent::hasEvent()
TComponent::hasEventHandler()
TComponent::hasProperty()
TComponent::raiseEvent()
TComponent::setSubProperty()
TComponent::__get()
TComponent::__set()
Documentation generated on Fri, 03 Jun 2011 16:25:48 +0200 by phpDocumentor 1.3.0RC4


Already set up the temp around the fence and been waiting for the moment.:)
Thank you all of your help guys. I have collected enough money and is going to the bookstore to buy what I need.
Already set up the temp around the fence and been waiting for the moment.:)
Thank you all of your help guys. I have collected enough money and is going to the bookstore to buy what I need.
Paint the fence
Posted by: David
on 2/6/2018
Location: Pittsburgh
I am going to paint the CMU fence at 3/30/2018 to celebrate the first week back from the spring break. In order to do this, I need to a brush and some paint


{ We're Coming }
If you leave us your address we can contact you
THANK YOU!
Your best email address:
SUBMIT


This is a demo application highlighting how to advertise and discover local services that are Wi-Fi peer to peer network capable with the Wi-Fi Direct Service Discovery APIs. Service discovery on Wi-Fi direct allows applications to discover and enagage with peers that support a certain service. As an example, a gaming application can find and associate with devices that support the game. This application allows you to chat with a peer after a succesful connection.
The source code for this demo app shows how to accomplish three key things with Wi-Fi Direct Service Discovery APIs: Advertise services, discover services and connect to peers advertising such services
The application includes:
WiFiServiceDiscoveryActivity
— the main Activity
that contains two fragments to handle app's UI. It advertises and discovers services and also registers a broadcast receiver for Wi-Fi Direct related events.
WiFiDirectBroadcastReceiver
— a BroadcastReceiver
that listens for Wi-Fi Direct related events and passes them to
WiFiServiceDiscoveryActivity
and it's fragments for neccesary action.WiFiDirectServicesList
— a ListFragment
that displays available services, peers and their status. WiFiChatFragment
— a Fragment
that displays handles chat UI ChatManager
— a Runnable
that continously performs Socket I/O.GroupOwnerSocketHandler
— a Thread
that implements a server side Socket handler and spawns a client socket per connection.GroupOwnerSocketHandler
— a Thread
that implements a client side Socket handler.If you are developing an application that uses the Wi-Fi Direct Service Discovery APIs, remember that the feature is supported only on Android 4.1 (API level 16) and higher versions of the platform. To ensure that your application can only be installed on devices that are capable of supporting Wi-Fi Direct Service Discovery, remember to add the following to the application's manifest before publishing to Google Play:
<uses-sdk android:minSdkVersion="16" />
, which
indicates to Google Play and the platform that your application requires
Android 4.1 or higher. For more information, see API Levels and the
documentation for the <uses-sdk>
element.To control how Google Play filters your application from devices that do not support Wi-Fi Direct mode, remember to add the following to the application's manifest
<uses-feature
android:name="android.hardware.wifi.direct" />
, which tells Google
Play that your application uses the Wi-Fi Direct API. The declaration should include
an android:required
attribute that indicates whether you want
Google Play to filter the application from devices that do not offer Wi-Fi Direct support. Other <uses-feature>
declarations may also be
needed, depending on your implementation. For more information, see the
documentation for the <uses-feature>
element.For more information about using the Wi-Fi Direct Service Discovery APIs, see the android.net.wifi.p2p
documentation.


Inspiring women to embrace fitness and nutritious food during and after pregnancy.
Nina Biodrowicz
Pre & Post Natal Specialist
I'm Nina, mum of Carmen and founder of Nina's Wellness Pre & Post Natal Care. After many years of working in the fitness industry as a Personal Trainer and Fitness Instructor, I have chosen to focus on pregnancy, post partum period and transition to motherhood from the fitness and wellbeing perspective.
In 2017 I gained specialist qualifications that allow me to work with expecting and new mums and I continuously deepen and update my knowledge so I can bring the best practice to my Pre & Post Natal Classes.
I help women not only physically to go throug the pregnancy but also mentally, as my focus is on mindful motherhood where women take a pleasure in looking after herself on a daily basis. What she does in terms of welling, will be quickly copied by her kids and I believe this is the best way of raising a healthy and active family.
I live in Essex and I have built a strong community of women who want to take care of their health, wellbeing and who believe the healthy lifestyle can be a way of living. I strive to grow my community and reach out to as many women as possible and always welcome any expecting or new mum who wishes to feel confident, energised and strong in her mind and body.
What I promote and teach under Nina's Wellness is what I do as Nina. I believe in movement, nutritious food and self care on a daily basis. My specialist fitness Pre & Post Natal Classes help women to reconnect with their bodies and minds, get stronger, more energised and happier!
Mum of 2
Thank you Nina for injecting me with the desire of getting fit after having my second child. The sessions were great and your energy and support to get the group through was the key to make me go Saturday mornings when all I wanted was to sleep. Nina's session will be the best reminder of how important your wellbeing is, allowing you to reconnect with yourself again. Don't think twice, just go for it!
Mum of 2
Nina is a very inspiring and motivating trainer. She always created individualised routines which fit perfectly to my needs was always opened to suggestions. Well resourced and brilliant music! I would highly recommend her.
Follow my feed for inspiration and useful advice on nutrition, exercise & poses and updates on my classes!
I can highly recommend Nina's fitness sessions. Nina did some brilliant PT sessions for me - great fun, hard work and really helped me improve my all round fitness. I could see the results and nearly 2 years later I am still keeping up what I learnt with Nina!
Follow my feed for inspiration and useful advise on nutrition, exercise & poses and updates on my classes!
09 December 2017
Lorem ipsum dolor sit amet, consectetur adipisicing elit. Necessitatibus facilis, at adipisci, amet beatae, aliquid reprehenderit.
Read more09 December 2017
Lorem ipsum dolor sit amet, consectetur adipisicing elit. Necessitatibus facilis, at adipisci, amet beatae, aliquid reprehenderit.
Read more09 December 2017
Lorem ipsum dolor sit amet, consectetur adipisicing elit. Necessitatibus facilis, at adipisci, amet beatae, aliquid reprehenderit.
Read more09 December 2017
Lorem ipsum dolor sit amet, consectetur adipisicing elit. Necessitatibus facilis, at adipisci, amet beatae, aliquid reprehenderit.
Read moreMum of 2
I couldn't recommend Nina's fitness sessions enough. I joined her Bootcamp sessions to get back in shape after having my second child. She made us work hard but I could see the results straight away. It's a shame I can't go anymore.
I love connecting with Mums To Be or New Mums so sign up here for my specialist modern pre and post natal e-newsletters full of fitness tips and nutritious food ideas to help you during your pregnancy and beyond.
Like what I do? Subscribe to my mailing list by entering your email below and receive news and advice on pre & post natal nutrition and fitness!


import "github.com/opencinemac/vtc-go"
Package vtc is inspired by years of scripting workflow solutions in a Hollywood cutting room. It aims to capture all the ways in which timecode is used throughout the industry so users can spend more time on their workflow logic, and less time handling the corner-cases of parsing and calculating timecode.
To get an overview of what this package can do, see the example at the bottom.
But first: what is timecode?
If you're already familiar with timecode, it's history, and it's flavors, feel free to skip this section.
Back in the days of film, a running strip of numbers ran along the edge of the film stock to uniquely identify each frame, called keycode (https://en.wikipedia.org/wiki/Keykode)
Keycode was essential to the film editing process. The raw negative of a film is irreplaceable: you loose quality each time you make a copy. Editing film is necessarily a destructive process (https://nofilmschool.com/2017/06/editing-on-a-flatbed), and often required multiple iterations. It would be just a tad nerve-wracking to take a pair of scissors and some glue to the one-of-a-kind film reels straight out of the camera on set, then running it over and over through a flatbed.
To avoid potential disaster, editors made their cut of the film using copies of the raw negative, called a work print (https://en.wikipedia.org/wiki/Workprint), allowing the editor to work without fear of sinking a project from slicing, dicing, and wearing at the film.
When the edit was complete, it was necessary to know *exactly* where the edits had been made, so it could be recreated with the raw negative for finishing. A *cut list* would be written out, with the exact reels and keycodes for every cut, and would be used to make an exact duplicate of the editor's work print with the mint condition raw negative.
In video and digital filmmaking, the same approach is used. Massive RAW files from a RED, ARRI, Sony, or other cinema camera are rendered down to more manageable files an Editor's machine won't choke on. Once the edit is complete, the raw files are re-assembled using a digital cutlist on a powerful machine for finishing out the film.
In film, we referenced *keycode* to know exactly what frame was being displayed on screen at any given time. In digital video, we reference the *timecode* of a given frame.
For a technical deep-dive into the many flavors of timecode, check out Frame.io's excellent blogpost on the subject: https://blog.frame.io/2017/07/17/timecode-and-frame-rates.
This package is broken into two subpackages:
• framerate: framerate types and functions
• timecode: timecode types and functions
See the subdirectories below.


One of the requirements of this system was that it be able to accommodate a wide variety of future requests from several different types of systems with minimal programming effort. I believe I accomplished this by simplifying the implementation down to a single command interface that exposed the basic methods needed to respond to a wide variety of requests:
public interface HotkeyAdaptor { public void setXML(String _xml); public boolean parseXML(); public boolean executeQuery(); public String getResponseXML(); }
So, how does the servlet decide which concrete implementation of the interface to instantiate? It first looks inside the request data for a specific string to tell it what type of request it is. Then, it uses a static method of a factory object to pick the appropriate implementation.
As far as the servlet knows, whatever implementation we're using will provide appropriate responses to each of these methods. By using an interface in the main servlet, we only have to write the execution code once, without any regard to which type of request it's dealing with or who may have made the request. All of the details are encapsulated in each individual implementation of this interface. Here's that snippet of code again from the servlet:
HotkeyAdaptor hotkey = null; if (sb.toString().indexOf("Pip3A2PriceAndAvailabilityRequest") > 0) { // Price and Availability Request hotkey = HotkeyAdaptorFactory.getAdaptor( HotkeyAdaptorFactory.ROSETTANET, HotkeyAdaptorFactory.PRODUCTAVAILABILITY); } else if (sb.toString().indexOf("Pip3A5PurchaseOrderStatusQuery ") > 0) { // Order Status hotkey = HotkeyAdaptorFactory.getAdaptor( HotkeyAdaptorFactory.ROSETTANET, HotkeyAdaptorFactory.ORDERSTATUS); }
The factory object, HotkeyAdaptorFactory, has a static method that takes two parameters telling it which XML protocol to use and what type of request it is. These are defined as static constants in the factory object itself. As you can see by the following code, the factory object simply uses a switch statement to select the appropriate implementation:
public class HotkeyAdaptorFactory { public static final int ROSETTANET = 0; public static final int BIZTALK = 1; public static final int EBXML = 2; public static final int PRODUCTAVAILABILITY = 0; public static final int ORDERSTATUS = 1; public static HotkeyAdaptor getAdaptor(int _vocab, int _target) { switch (_vocab) { case (ROSETTANET) : switch (_target) { case (PRODUCTAVAILABILITY) : return new HotkeyAdaptorRosProdAvailImpl(); case (ORDERSTATUS) : return new HotkeyAdaptorRosOrdStatImpl(); default : return null; } case (BIZTALK) : case (EBXML) : default : return null; } } }
While this may seem to be a rather simple abstraction, it goes a long way in making the code readable and understandable by an inexperienced programming staff. When it comes time to add a new distributor that happens to be using Microsoft's BizTalk product and wants to place orders electronically, the programmer has a simple template for adding this new requirement.


{% extends "base.html" %} {% block title %}Schedule{% endblock %} {% block page_content %}
Your likes, shares and comments helps us.


We were unable to save your changes.
We have updated our terms and conditions. Please read them and confirm you agree.
Website terms and conditions
In order to continue you must agree to the terms and conditions.
I agree to the
terms and conditions
.
Continue


Basic Form
Email
Password
Remember me
Sign In
Example Input
Example Select
Select Option #1
Select Option #2
Select Option #3
Select Option #4
Select Option #5
Example Multiple Select
Multiple Select #1
Multiple Select #2
Multiple Select #3
Multiple Select #4
Multiple Select #5
Example Textarea
Sizing
Readonly
Range Inputs
Form Row
First Name
Last Name
Address
City
State
Select State
State 1
State 1
Pin Code
I Agree To Terms and Conditions
Submit
Horizontal Forms
First Name
Last Name
Radios
Option 1
Option 2
Option 3 (disabled)
Checkbox
Option 1
Option 2
Submit
Disabled Form
Name
Select your option
Select
Remember Me
Submit
Help Text
Password
Your password must be 6-10 characters long (This is help text).


Offline help for Twine 2 is not yet available for this version of Yarn. Meanwhile, you may visit the Twine wiki pages for online documentation, tutorials, and lots of other goodies!
You may use one finger to drag passages around when organizing your project.
As you add passages to your story, you will need to scroll around your work space.
You may do this by touching the screen with two fingers then drag them towards the
direction you want to scroll.
When your project becomes bigger and bigger, you may need to zoom out to get a
better overview look of you passages. You may do this by touching the screen with
two fingers and moving them apart. The opposite zooms in on the workspace.
Gesture icons were downloaded from www.iconfinder.com and used under the Creative Commons Attribution-ShareAlike 3.0 United States (CC BY-SA 3.0) license.
Illustrations for the icons provided by GestureWorks (www.gestureworks.com)


Angular-Ask Demo Page
Fullscreen Theme
Material Design Theme
Event Triggers:
Confirm
Confirm without Title
Confirm without Content
Prompt
Prompt without title


Tau, Salah & Mane Nominated For CAF Player Of The Year Award
by SL InternationalBafana Bafana star Percy Tau has been short-listed for the CAF Player Of The Year award, along with another PSL star.
Click through the gallery to see some of the big names nominated for the award.
Tau has enjoyed an impressive 2019 where he netted 13 goals and 13 appearances during his loan spell for Belgian outfit Union Saint Gilloise.
The 25-year-old was also instrumental in Bafana Bafana's Africa Cup of Nations qualifying campaign in 2019, where he netted four goals in eight appearances.
Africa Cup of Nations champions Algeria dominate the list with four players, while Nigeria and Senegal both have three players nominated.
Mamelod Sundowns goalkeeper Denis Onyango is the only South-African based player nominated on the list following his showings for the Absa Premiership champions and Uganda over the past year.
Read: Golden Boot Winner Sidelined By 'Black Magic'
Full nominees list:


The dish originates in ancient Greece. The Phoceans, an Ancient Greek people who founded Marseille in 600 BC, ate a simple fish stew known in Greek as "kakavia". A dish similar to bouillabaisse also appears in Roman mythology: it is the soup that Venus fed to Vulcan.
The legend has it that bouillabaisse was created by Marseille fishermen who wanted to make a meal when they returned to port. Rather than using the more expensive fish, they cooked the common rockfish and shellfish that they pulled up with their nets and lines, usually fish that were too bony to serve in restaurants, cooking them in a cauldron of water on a wood fire and seasoning them with garlic and fennel. Tomatoes were added to the recipe in the 17th century, after their introduction from the Americas.
In the 19th century, as Marseille became more prosperous, restaurants and hotels began to serve bouillabaisse to upper class patrons. The recipe of bouillabaisse became more refined, with the substitution of fish stock for boiling water and the addition of saffron. Bouillabaisse spread from Marseille to Paris, and then gradually around the world, adapted to local ingredients and tastes.
The name bouillabaisse comes from the method of the preparation — the ingredients are not added all at once. The broth is first boiled then the different kinds of fish are added one by one, and each time the broth comes to a boil, the heat is lowered.
What you need to make Bouillbaisse
(makes 6 Servings):
2 baby fennel
60ml (1/4 cup) extra virgin olive oil
1 large onion, finely chopped
1 stalk celery, finely chopped
6 cloves garlic, finely chopped
2 leeks, white part only, finely chopped
1 teaspoon fennel seeds, crushed
1/4 teaspoon firmly packed saffron threads
1.75L (7 cups) fish stock (see related recipe)
1kg ripe tomatoes
2 tablespoons tomato paste
2 Masterfoods Bay Leaves
4 sprigs thyme
1/2 orange, peeled into strips
1 pinch cayenne pepper
60ml (1/4 cup) Pernod (see note)
2 x 600g whole john dory fish, (see note) filleted, halved lengthwise
2 x 700g whole flathead fish, (see note) filleted, cut into 6cm pieces
16 large green king prawns, peeled with tails intact, cleaned
4 scampi, halved lengthwise
400g black mussels, scrubbed, bearded
400g clams (vongole), soaked in cold water for 15 minutes
Thinly sliced baguette, (brushed with oil and toasted), to serve
Rouille to serve
How to make your Bouillbaisse:
1. Trim fennel tops, reserving trimmings for stock and fronds for serving, and chop fennel finely. Heat oil in a large saucepan or casserole over medium heat. Add fennel, onion, celery, garlic, leeks and fennel seeds, and cook, stirring occasionally, for 10 minutes or until vegetables soften.
2.
Meanwhile, combine saffron and 125ml (1/2 cup) fish stock in a small bowl and set aside for 10 minutes to steep..
3. Peel tomatoes, remove seeds and discard, then chop finely. Add tomato paste to vegetables in pan and cook, stirring, for 1 minute. Add the saffron mixture, tomatoes, bay leaves, thyme, orange peel and the remaining stock to the pan and simmer for 30 minutes. Season generously with salt. Stir in cayenne and Pernod. Reserve 2 tablespoons broth for rouille.
4. Add the fish to the pan, then prawns and scampi, making sure the seafood is submerged in the liquid. Cook for 5 minutes or until seafood is just cooked. 5 Meanwhile, place mussels, clams and 2 tablespoons water in a frying pan over high heat. Cover with a lid and cook, shaking the pan occasionally, for 3 minutes or until the shells open.
5. Divide bouillabaisse among bowls. Top with clams and mussels and scatter with reserved fennel fronds. Serve with toasts and rouille.
Jane Smith
12:23 PM
This is delicious and I learnt something! Double Win!
Sam Smith
12:23 PM
Not usually a fan of seafood but this sounds interesting!


--- layout: default --- {% capture index %}{% include index.md %}{% endcapture %} {{ index | markdownify }} Proposed Workshops Choose a workshop to attend during the Hack Day. Propose a new Workshop
Choose a workshop to attend during the Hack Day.
Propose a new Workshop


Google map
Home
Google map
THIS MONTH
$58,356
LAST MONTH
$48,356
Simple Basic Map
Market with Info window
Over Layer Map
Polygonal Map
Routes Map
Styled Map


{% extends "base.html" %} {% block content %}
This leaderboard is also available as a Google-charts version.


Journaling is a great idea, We know that. It helps you to relieve some stress, allows you to express your thoughts
and feelings, and records important events in your life. So we made My Diary just for you. You can keep your
thought private or choose to share it to the world. Check us out