Tamatsukuri Marathon
Tamayu JPN
Race Winners
(47 runnings)
19 Sep
2004
2:28:11
21 Sep
2003
2:23:35
22 Sep
2002
2:29:11
15 Sep
2001
2:24:12
15 Sep
2000
2:37:40
15 Sep
1999
2:23:05
15 Sep
1998
2:28:36
15 Sep
1997
2:26:05
15 Sep
1996
2:26:17
15 Sep
1995
2:28:54
15 Sep
1994
2:24:11
15 Sep
1993
2:27:20
15 Sep
1992
2:33:22
15 Sep
1991
2:17:55
15 Sep
1990
2:27:00
15 Sep
1989
2:35:53
15 Sep
1988
2:33:48
15 Sep 1987
2:35:36
15 Sep 1986
2:27:27
15 Sep 1985
2:29:38
15 Sep 1984
2:24:06
15 Sep 1983
2:33:14
19 Sep 1982
2:21:23
15 Sep 1981
2:25:19
15 Sep 1980
2:33:30
09 Sep 1979
2:32:33
15 Sep 1978
2:28:42.6
15 Sep 1977
2:37:07
15 Sep 1976
2:33:00
07 Sep 1975
2:48:37
08 Sep 1974
2:23:45
09 Sep 1973
2:36:21
15 Sep 1972
2:36:02
15 Sep 1971
2:34:42.4
06 Sep 1970
2:43:38
07 Sep 1969
2:29:29
15 Sep 1968
2:31:14
15 Sep 1967
2:23:48
15 Sep 1966
2:20:29.4
22 Aug 1965
2:32:19.0
16 Aug 1964
2:41:45.2
18 Aug 1963
2:32:36.6
19 Aug 1962
2:40:36
20 Aug 1961
2:46:14
14 Aug 1960
2:37:02
1959
2:41:37
1958
2:50:58
Notes: 1958 was the inaugural year. For 1958-2000, this race was known as the Tamatsukuri Mainichi Marathon; for
2001-2004, it was known as the Tamatsukuri-Matsue Mainichi Marathon.
Keiichiro Kobayashi (JPN)
Tomoaki Hirosawa (JPN)
Akira Katsuki (JPN)
Toru Higashi (JPN)
Shinobu Konaka (JPN)
Kazuhiro Katsube (JPN)
Yasuo Itohara (JPN)
Fumio Yamane (JPN)
Yasuo Hiraoka-2
Yasuo Hiraoka (JPN)
Hideki Maeda (JPN)
Kiminari Kondo-2
Hayato Nozu-3
Kengo Ueda (JPN)
Kiminari Kondo (JPN)
Yuji Ishii (JPN)
Sakae Kume (JPN)
Takayuki Mineoka (JPN)
Hayato Nozu-2
Hayato Nozu (JPN)
Kenichi Katasumi (JPN)
Taketoshi Miyamoto (JPN)
Hiroshi Sakanashi (JPN)
Keiichi Shimokugaki (JPN)
Takehiko Kikuchi (JPN)
Fumio Murakami (JPN)
Susumu Sato (JPN)
Tsutomu Ijiri (JPN)
Norihiro Suga (JPN)
Magohito Oda (JPN)
Mineteru Sakamoto (JPN)
Akio Yoshida-2
Akio Yoshida (JPN)
Koji Kuramata (JPN)
Motomu Okubo (JPN)
Katsutoshi Edasako (JPN)
Masanori Furukawa (JPN)
Yoshiaki Unetani (JPN)
Kenji Kimihara (JPN)
Hideaki Kobayashi (JPN)
Katsuo Horinouchi (JPN)
Hiroki Kasaii (JPN)
Junkichi Nishimura (JPN)
Yutaka Sumita (JPN)
Noriyuki Kimoto-2
Noriyuki Kimoto (JPN)
Tadamasa Ogawa (JPN)
Most Wins
(1958-date)
Men
3
Hayato Nozu (JPN)
1985-86,1992
Prize Money
Prize money cannot be awarded in Japanese road races due to legal restrictions.
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 <2:18 1 <2:19 1 <2:20 1
Matsue Tamatsuku Marathon
Matsue JPN
Race Winners (56 runnings)| 25 Sep 2013 | 1:07:44 | Masanobu Kawamura (JPN) | 1:24:20 | Rie Ishi (JPN) |
|
30 Sep 2012 |
1:06:18 | Koji Harada (JPN) | 1:26:22 | Tomoe Nishio (JPN) |
|
25 Sep 2011 |
1:07:23 | Yoshihiro Yamamoto (JPN) | 1:18:15 | Chika Kawano (JPN) |
|
26 Sep 2010 |
1:04:36 | Hiroki Tanaka (JPN) | --- | n/a |
|
27 Sep 2009 |
1:06:46 | Tatsumi Morimasa (JPN) | 1:28:03 | Yuki Hidaka (JPN) |
|
21 Sep 2008 |
1:07:19 | Shunsuke Kamiya (JPN) | 1:32:18 | Hidemi Wada (JPN) |
|
16 Sep 2007 |
1:05:39 | Masato Imai (JPN) | 1:28:09 | Keiko Kodama (JPN) |
|
17 Sep 2006 |
1:04:52 | Masahiko Takeyasu (JPN) | --- | n/a |
|
18 Sep 2005 |
1:07:21 |
Mitsuhiro Anjo (JPN) |
1:28:35 |
Mariko Inoue (JPN) |
|
19 Sep 2004 |
1:04:47 | Kazuhiko Ito (JPN) | ||
|
21 Sep 2003 |
--- | n/a | ||
|
22 Sep 2002 |
1:02:12 | Makoto Ogura (JPN) | ||
|
15 Sep 2001 |
1:02:16 | Megumu Sadachi (JPN) | ||
|
15 Sep 2000 |
--- | n/a | ||
|
15 Sep 1999 |
--- | n/a | ||
|
15 Sep 1998 |
--- | n/a | ||
|
15 Sep 1997 |
--- | n/a | ||
|
15 Sep 1996 |
--- | n/a | ||
|
15 Sep 1995 |
--- | n/a | ||
|
15 Sep 1994 |
--- | n/a | ||
|
15 Sep 1993 |
--- | n/a | ||
|
15 Sep 1992 |
--- | n/a | ||
|
15 Sep 1991 |
--- | n/a | ||
|
15 Sep 1990 |
--- | n/a | ||
|
15 Sep 1989 |
--- | n/a | ||
|
15 Sep 1988 |
--- | n/a | ||
|
15 Sep 1987 |
--- | n/a | ||
|
15 Sep 1986 |
--- | n/a | ||
|
15 Sep 1985 |
--- | n/a | ||
|
15 Sep 1984 |
--- | n/a | ||
|
15 Sep 1983 |
--- | n/a | ||
|
19 Sep 1982 |
--- | n/a | ||
|
15 Sep 1981 |
--- | n/a | ||
|
15 Sep 1980 |
--- | n/a | ||
|
09 Sep 1979 |
--- | n/a | ||
|
15 Sep 1978 |
--- | n/a | ||
|
15 Sep 1977 |
--- | n/a | ||
|
15 Sep 1976 |
--- | n/a | ||
|
07 Sep 1975 |
--- | n/a | ||
|
08 Sep 1974 |
--- | n/a | ||
|
09 Sep 1973 |
--- | n/a | ||
|
15 Sep 1972 |
--- | n/a | ||
|
15 Sep 1971 |
--- | n/a | ||
|
06 Sep 1970 |
--- | n/a | ||
|
07 Sep 1969 |
--- | n/a | ||
|
15 Sep 1968 |
--- | n/a | ||
|
15 Sep 1967 |
--- | n/a | ||
|
15 Sep 1966 |
--- | n/a | ||
|
22 Aug 1965 |
--- | n/a | ||
|
16 Aug 1964 |
--- | n/a | ||
|
18 Aug 1963 |
--- | n/a | ||
|
19 Aug 1962 |
--- | n/a | ||
|
20 Aug 1961 |
--- | n/a | ||
|
14 Aug 1960 |
--- | n/a | ||
|
1959 |
--- | n/a | ||
|
1958 |
--- | n/a |
Most Wins
(1958/date)
Men
No man has won more than once, according to available
information.
Women
No woman has won more than once, according to
available information.
Prize Money
Prize money cannot be awarded in Japanese road races due to legal restrictions.
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 <1:02:30 2 <1:03:00 2 <1:03:30 2 <1:04:00 2 <1:04:30 2 <1:05:00 4 <1:05:30 4 <1:16:00 7
Last Updated on 02 Oct 2013
Contributors: Shigenobu Ota (50), Brett Larner (35)


Manual Deployment
For full deployments, you can deploy the PartsUnlimited app to slots as needed. The website is setup to keep the connection strings with the slots. This means that if staging and main website slots are switched, the main website will still use the production database, while the staging slot will keep pointing to the staging database.
How to Manually Deploy Full Environment And Publish Website
- Open PartsUnlimited.sln at the root of the directory
- If you haven’t already done so, install PowerShell Tools for Visual Studio by following these steps:
- Go to Tools - Extensions and Updates and search for “PowerShell”
- If it is not present, then click the Online - Visual Studio Gallery section and search for “PowerShell” there and then install.
- Restart Visual Studio to complete the installation
- Re-open the Visual Studio project PartsUnlimited.sln
- Right-click on the
PartsUnlimitedEnv
folder (the deployment project root) and choose Deploy -> New… - Choose subscription to deploy to.
- Under Resource Group choose New…
- Enter Resource Group name
- Name should not include periods.
- Choose Resource group location.
- Enter Resource Group name
- For Deployment template, choose
fullenvironmentsetupmerged.json
. - For Deployment template parameters, choose
fullenvironmentsetupmerged.param.json
. - Click OK.
- If prompted, edit the parameter to add any required value for the deployment template and click Save.
- Do not fill in values for anything that has ‘auto-generated’ for its value.
PartsUnlimitedHostingPlanSKU
needs to be value that supports slots or else the deployment will fail. (I took out the Free hosting plan from available hosting plans for the full setup template, but still worth noting for- The SQL Server name (specified by
PartsUnlimitedServerName
) should be all lowercase - The Storage Account names (specified by
CdnStorageAccountName
,CdnStorageAccountNameForDev
andCdnStorageAccountNameForStaging
) should be all lowercase and be 3 to 24 characters in length - The Storage Container names (specified by
CdnStorageContainerName
,CdnStorageContainerNameForDev
andCdnStorageContainerNameForStaging
) should be all lowercase and be 3 to 63 characters in length
- If prompted fill in any values the scripts ask for. This will only happen if you leave a non-auto-generated parameter blank.
- Now that the environment is setup, it is time to publish the website bits.
- Open PartsUnlimited.sln.
- Wait for package loads to complete.
- Build the project
- Right-click on
src\PartsUnlimitedWebsite
project and choose Publish… - For Publish Web Wizard
- On Profile Page choose ‘Microsoft Azure App Service’ under ‘Select a publish target’.
- On the App Service page select the right subscription and view resource group. Open the resource group and the website created above (Website name specified by
WebsiteName
parameter name in previous steps.) This time choose a slot to publish the website to. Click OK. - On Connection Page, just click Next. This should be automatically filled out when the website was chosen on the previous page.
- On Settings Page, verify the configuration is what you want (i.e. Release – Any CPU) and click Next.
- On Preview Page, click Publish
- Users can click ‘Start Preview’ to verify the deployment will work, if they wish.
- Wait for publish to complete and load the website.
- The website is set up to automatically update the database shape, only if the database is empty. No extra EF migrations commands needed for the first deployment.
- Website is all setup to use slot switching. Users can publish to individual slots as they need. Website is setup to keep the connection strings with the slots. This means that if staging and main website slots are switched the main website still uses the production database.


Given a file_name
which is a path of a file that contains table(s). Run this read_cells()
in the R-console to see whether support is present for the file type. If support is present, just run
Note
A Word of Warning :
Many functions in this package are heuristic-algorithm based. Thus, outcomes may be unexpected. I recommend you to try read_cells
on the target file. If the outcome is what you are expecting, it is fine. If not try again with read_cells(file_name, at_level = "compose")
. If after that also the output is not as expected then other functions are required to be used. At that time start again with read_cells(file_name, at_level = "make_cells")
and proceed to further functions.
The package provides utilities to read, cells from complex tabular data and heuristic detection based ‘structural assignment’ of those cells to a columnar or tidy format.
Read functionality has the ability to read (in a unified manner) structured, partially structured or unstructured tabular data (usually spreadsheets for public data dissemination and aimed for common human understanding) from various types of documents. The tabular information is read as cells. The ‘structure assignment’ functionality has both supervised and unsupervised way of assigning cells data to columnar/tidy format. Multiple disconnected blocks of tables in a single sheet are also handled appropriately.
These tools are suitable for unattended conversation of (maybe a pile of) messy tables (like government data) into a consumable format(usable for further analysis and data wrangling).
Install the CRAN version:
To install the development version from GitHub you’ll need remotes
package in R (comes with devtools
). Assuming you have remotes
you can install this package in R with the following command:
# devtools::install_github is actually remotes::install_github
remotes::install_github("r-rudra/tidycells")
To start with tidycells
, I invite you to see vignette("tidycells-intro")
or check out tidycells-website (to see vignette you need to install the package with vignette. That can be done in above command (remotes::install_github
) by specifying build_vignettes = TRUE
. Note that, it might be time consuming. CRAN version comes with prebuilt-vignette).
Let’s take a quick look at an example data as given in
The data looks like (in excel)
Let’s try tidycells
functions in this data
Read at once
# you should have tidyxl installed
system.file("extdata", "marks.xlsx", package = "tidycells", mustWork = TRUE) %>%
read_cells()
| collated_1 | collated_2 | collated_3 | collated_4 | collated_5 | table_tag | value |
|---|---|---|---|---|---|---|
| Score | Male | School A | Student Name | Utsyo Roy | Sheet1 | 95 |
| Score | Male | School A | Student Name | Nakshatra Gayen | Sheet1 | 99 |
| Score | Female | School A | Student Name | Titas Gupta | Sheet1 | 89 |
| Score | Female | School A | Student Name | Ujjaini Gayen | Sheet1 | 100 |
| Score | Male | School B | Student | Indranil Gayen | Sheet1 | 70 |
| Score | Male | School B | Student | S Gayen | Sheet1 | 75 |
| Score | Female | School B | Student | Sarmistha Senapati | Sheet1 | 81 |
| Score | Female | School B | Student | Shtuti Roy | Sheet1 | 90 |
| Score | Male | School C | Name | I Roy | Sheet1 | 50 |
| Score | Male | School C | Name | S Ghosh | Sheet1 | 59 |
| Score | Female | School C | Name | S Senapati | Sheet1 | 61 |
| Score | Female | School C | Name | U Gupta | Sheet1 | 38 |
The function read_cells
is a set of ordered operations connected together. The flowchart of read_cells
:
Let’s understand step by step procedures followed by read_cells
.
# if you have tidyxl installed
d <- system.file("extdata", "marks.xlsx", package = "tidycells", mustWork = TRUE) %>%
read_cells(at_level = "make_cells") %>%
.[[1]]
Or
# or you may do
d <- system.file("extdata", "marks_cells.rds", package = "tidycells", mustWork = TRUE) %>%
readRDS()
Then
After this you need to run compose_cells
(with argument print_attribute_overview = TRUE
)
If you want a well-aligned columns then you may like to do
# bit tricky and tedious unless you do print_attribute_overview = TRUE in above line
dcfine <- dc %>%
dplyr::mutate(name = dplyr::case_when(
data_block == 1 ~ major_row_left_2_1,
data_block == 2 ~ major_col_bottom_1_1,
data_block == 3 ~ major_row_left_1_1
),
sex = dplyr::case_when(
data_block == 1 ~ major_row_left_1_1,
data_block == 2 ~ major_col_bottom_2_1,
data_block == 3 ~ minor_row_right_1_1
),
school = dplyr::case_when(
data_block == 1 ~ minor_col_top_1_1,
data_block == 2 ~ minor_corner_topLeft_1_1,
data_block == 3 ~ minor_col_top_1_1
)) %>%
dplyr::select(school,sex, name, value)
head(dcfine)
looks like
| school | sex | name | value |
|---|---|---|---|
| School A | Male | Utsyo Roy | 95 |
| School A | Male | Nakshatra Gayen | 99 |
| School A | Female | Titas Gupta | 89 |
| School A | Female | Ujjaini Gayen | 100 |
| School B | Male | Indranil Gayen | 70 |
| School B | Male | S Gayen | 75 |
This is still not good right! You had to manually pick some weird column-names and spent some time and energy (when it was evident from data which columns should be aligned with whom).
The collate_columns
functions does exactly this for you. So instead of manually picking column-names after compose cells you can simply run
# collate_columns(dc) should be same with
# direct read_cells() result except table_tag column
collate_columns(dc) %>%
head()
| collated_1 | collated_2 | collated_3 | collated_4 | collated_5 | value |
|---|---|---|---|---|---|
| Score | Male | School A | Student Name | Utsyo Roy | 95 |
| Score | Male | School A | Student Name | Nakshatra Gayen | 99 |
| Score | Female | School A | Student Name | Titas Gupta | 89 |
| Score | Female | School A | Student Name | Ujjaini Gayen | 100 |
| Score | Male | School B | Student | Indranil Gayen | 70 |
| Score | Male | School B | Student | S Gayen | 75 |
Looks like staged example! Yes, you are right this is not always perfect (same is true for analyze_cells
also). However, if the data is somehow helpful in demystifying underlying columns structure (like this one), then this will be useful.
These functions read_cells
(all functionalities combined), analyze_cells
, collate_columns
are here to ease your pain in data wrangling and reading from various sources. It may not be full-proof solution to all types of tabular data. It is always recommended to perform these tasks manually whenever expected results are not coming.
The package provides ggplot
based plots and shiny
based interactive visualisations for understanding how the heuristic is functioning and also provides object (like cell-df
or cell-analysis
) editing capabilities.
The shiny package is required for interactive modules. Most of the features are self-explanatory and guided.
Check out interactive documentation of any of these functions listed below. All of these functions are available as RStudio Addins.
Here are screenshots of each interactive widgets.
visual_crop()
for data crop and deletion of sectionsvisual_va_classify()
for interactive VA classificationvisual_data_block_inspection()
this shows how the heuristic has performed the analysis after analyze_cells
visual_orientation_modification()
for modification to heuristic based resultsvisual_traceback()
this is for observing how the original data is composed to form the final output. (compose_cells
is called internally)For each of these modules, there is a dynamic plot option available from plotly. If you have that package, the corresponding tab will be activated. Since all of these modules are entirely optional the dependency is kept at tidycells ‘suggests’ level only.
This package incomplete without following packages (apart from the unpivotr which is the core package on which tidycells depends largely, as mentioned above). Each of these packages are in suggests fields of tidycells
. (The read_cells basically, performs unification on several functions from various packages to give you support for different file types. These are listed below.)
tidycells::collate_columns


Steve Wynn: Nevada regulators can’t pull gambling license
by The Associated PressLAS VEGAS (AP) — Former Las Vegas casino mogul Steve Wynn is telling Nevada regulators they can’t revoke his gambling license over allegations of workplace sexual harassment because he’s no longer affiliated with the company that carries his name.
Attorneys for the former Wynn Resorts chairman and chief executive raise the jurisdiction question in documents filed Thursday ahead of a Dec. 19 Gaming Commission hearing about Wynn’s suitability for a license.
Wynn attorney Colby Williams declined Friday to comment.
Wynn resigned from Wynn Resorts in February 2018 and sold company shares following reports that several women said he harassed or assaulted them.
He denies all allegations against him.
The commission last year froze Wynn’s casino license. The five-member panel is now considering fining Wynn and declaring he can never get the license back.
The Associated Press


◄ Indonesia ►
Individual results
| Year | Contestant | Rank | Award |
|---|---|---|---|
| 2023 | Fansen Candra Funata | 89 | Silver Medal |
| 2023 | Savero Lukianto Chandra | 105 | Silver Medal |
| 2023 | Muhammad Arif Khalfani Ismail | 159 | Bronze Medal |
| 2023 | Ahmad Nafi Ramadhan | 217 | Honourable Mention |
| 2023 | Muh. Zaidan Naja | 225 | Honourable Mention |
| 2022 | Jonathan Tjandra | 32 | Gold Medal |
| 2022 | John Howard Wijaya | 74 | Silver Medal |
| 2022 | David Michael Indraputra | 90 | Silver Medal |
| 2022 | Berwyn Berwyn | 90 | Silver Medal |
| 2022 | Althaaf Syaikha Nuhaad | 151 | Bronze Medal |
| 2021 | Joseph Oliver Lim | 87 | Silver Medal |
| 2021 | Mario Alvaro | 99 | Silver Medal |
| 2021 | Edward Humianto | 100 | Silver Medal |
| 2021 | M. 'Anin Nabail 'Azhiim | 116 | Bronze Medal |
| 2021 | Dean Hartono | 122 | Bronze Medal |
| 2019 | Nixon Widjaja | 45 | Silver Medal |
| 2019 | Ivander Jonathan Marella Waskito | 65 | Silver Medal |
| 2019 | Yuwanza Ramadhan | 74 | Silver Medal |
| 2019 | Gusti Putu Surya Govinda Atmaja | 84 | Silver Medal |
| 2019 | Daffa Fathani Adila | 115 | Bronze Medal |
| 2018 | Johanes Suhardjo | 29 | Gold Medal |
| 2018 | Jason Jovi Brata | 60 | Silver Medal |
| 2018 | Bryant Juspi | 120 | Bronze Medal |
| 2018 | Ahmad Aufar Thoriq | 133 | Bronze Medal |
| 2018 | Raditya Adhidarma Nugraha | 140 | Bronze Medal |
| 2017 | Ferris Prima Nugraha | ≥1 | Gold Medal |
| 2017 | Gerry Windiarto Mohamad Dunda | ≥1 | Gold Medal |
| 2017 | Bonfilio Nainggolan | ≥65 | Silver Medal |
| 2017 | Faizal Husni | ≥65 | Silver Medal |
| 2017 | Fikri Makarim Sosrianto | ≥65 | Silver Medal |
| 2016 | Michael Gilbert | 6 | Gold Medal |
| 2016 | Hugo Herdianto | 61 | Silver Medal |
| 2016 | Raymond Ho | 81 | Silver Medal |
| 2016 | Kevin Limanta | 81 | Silver Medal |
| 2016 | Edwin Aldrian Santoso | 86 | Silver Medal |
| 2015 | Hugo Herdianto | 59 | Silver Medal |
| 2015 | Kevin Limanta | 69 | Silver Medal |
| 2015 | Rhesa Edrick Tendean | 87 | Silver Medal |
| 2015 | Jaswin Jaswin | 106 | Bronze Medal |
| 2015 | Jason Kristiano | 141 | Bronze Medal |
| 2014 | Josephine Monica | 37 | Gold Medal |
| 2014 | Drestanto Muhammad Dyasputro | 128 | Bronze Medal |
| 2014 | Dheo Arokhim Yusufi Cahyo | 163 | Bronze Medal |
| 2014 | Muhammad Rizki Hasan | 222 | Honourable Mention |
| 2014 | Fransiskus Yoga Esa Wibowo | 242 | Honourable Mention |
| 2013 | I Made Gita Narendra Kumara | 107 | Bronze Medal |
| 2013 | Paulus Anthony Halim | 125 | Bronze Medal |
| 2013 | Mikael Harseno Subianto | 134 | Bronze Medal |
| 2013 | Joshua Christian Nathanael | 143 | Bronze Medal |
| 2013 | Andres Bethavan Situmorang | 274 | |
| 2012 | Adrian Nugraha Utama | 29 | Gold Medal |
| 2012 | Luqman Fathurrohim | 171 | Bronze Medal |
| 2012 | Ramadhiansyah Ramadhiansyah | 217 | Honourable Mention |
| 2012 | I Made G.N. Kumara | 260 | Honourable Mention |
| 2012 | Werdi Wedana Gunawan | 267 | Honourable Mention |
| 2011 | Erwin Wibowo | 45 | Gold Medal |
| 2011 | Kevin Fauzie | 68 | Silver Medal |
| 2011 | Farhan Kholid | 142 | Bronze Medal |
| 2011 | Imam Raharja | 179 | Bronze Medal |
| 2011 | Luqman Fathurrohim | 193 | Bronze Medal |
| 2010 | Christian George Emor | 15 | Gold Medal |
| 2010 | David Giovanni | 18 | Gold Medal |
| 2010 | Kevin Soedyatmiko | 25 | Gold Medal |
| 2010 | Muhammad Sohibul Maromi | 32 | Gold Medal |
| 2010 | Ahmad Ataka Awwalur Rizqi | 57 | Silver Medal |
| 2009 | Fernaldo Richtia Winnerdy | 16 | Gold Medal |
| 2009 | Winson Tanputraman | 43 | Silver Medal |
| 2009 | Dzuhri Radityo Utomo | 54 | Silver Medal |
| 2009 | Andri Pradana | 100 | Silver Medal |
| 2009 | Paul Zakharia Fajar Hanakata | 127 | Bronze Medal |
| 2008 | Kevin Winata | 4 | Gold Medal |
| 2008 | Rudy Handoko Tanin | 41 | Gold Medal |
| 2008 | Thomas Aquinas Nugraha Budi | 77 | Silver Medal |
| 2008 | Adam Badra Cahaya | 80 | Silver Medal |
| 2008 | Tyas Kokasih | 165 | Bronze Medal |
| 2007 | Muhammad Firmansyah Kasim | 15 | Gold Medal |
| 2007 | Rudy Handoko Tanin | 46 | Silver Medal |
| 2007 | Musawwadah Mukhtar | 57 | Silver Medal |
| 2007 | Yosua Michael Maranatha | 77 | Silver Medal |
| 2007 | David Halim | 99 | Bronze Medal |
| 2006 | Jonathan Pradana Mailoa | 1 | Gold Medal |
| 2006 | Pangus Ho | 7 | Gold Medal |
| 2006 | Irwan Ade Putra | 21 | Gold Medal |
| 2006 | Andy Octavian Latief | 36 | Gold Medal |
| 2006 | Muhammad Firmansyah Kasim | 60 | Silver Medal |
| 2005 | Andika Putra | 7 | Gold Medal |
| 2005 | Ali Sucipto T | 18 | Gold Medal |
| 2005 | Purnawirman | 73 | Bronze Medal |
| 2005 | Ario Prabowo | 129 | Bronze Medal |
| 2005 | Michael Adrian | 133 | Bronze Medal |
| 2004 | Yudistira Virgus | ≥2 | Gold Medal |
| 2004 | Edbert Jarvis Sie | ≥32 | Silver Medal |
| 2004 | Andika Putra | ≥67 | Bronze Medal |
| 2004 | Ardiansyah | ≥67 | Bronze Medal |
| 2004 | Ali Sucipto T | ≥135 | Honourable Mention |
| 2003 | Widagdo Setiawan | 3 | Gold Medal |
| 2003 | Rangga Perdana Budoyo | 25 | Silver Medal |
| 2003 | Bernard Ricardo | 36 | Silver Medal |
| 2003 | Yudistira Virgus | 60 | Bronze Medal |
| 2003 | Tri Wiyono Darsowyono | 90 | Bronze Medal |
| 2002 | Agustinus Peter Sahanggamu | 6 | Gold Medal |
| 2002 | Widagdo Setiawan | 8 | Gold Medal |
| 2002 | Fajar Ardian | 36 | Gold Medal |
| 2002 | istopher S.A. Hendriks | 69 | Silver Medal |
| 2002 | Evelyn Mintarno | 91 | Bronze Medal |
| 2001 | Rezy Pradipta | 32 | Silver Medal |
| 2001 | Frederick Petrus | 46 | Silver Medal |
| 2001 | Anthony Iman Hertanto | 69 | Bronze Medal |
| 2001 | Imam Makhfudz | 92 | Bronze Medal |
| 2001 | Rizki Muhammad Ridwan | 106 | Bronze Medal |
| 2000 | Halim Kusumaatmaja | 25 | Bronze Medal |
| 2000 | Yoga Dvipayana | 44 | Bronze Medal |
| 2000 | Bahar Riand Passa | 55 | Bronze Medal |
| 2000 | Bremana Adhi | 64 | Bronze Medal |
| 2000 | Zainul Abidin | 118 | Honourable Mention |
| 1999 | I Made Agus Wirawan | 22 | Gold Medal |
| 1999 | Ferdinand Wawolumaya | 55 | Silver Medal |
| 1999 | Jerry Prawiharjo | 111 | Bronze Medal |
| 1999 | Landobasa Lumbantobing | 149 | Bronze Medal |
| 1999 | Ma'muri | 184 | Honourable Mention |
| 1998 | Barlino Effendy | 107 | Honourable Mention |
| 1998 | Boy Tanto | 115 | Honourable Mention |
| 1998 | Ikhsan Ramdan | 116 | Honourable Mention |
| 1997 | Boy Tanto | 90 | Bronze Medal |
| 1997 | Wayan Gde Widiartha | 91 | Bronze Medal |
| 1997 | Hendra Johnny Kwee | 106 | Honourable Mention |
| 1996 | Wahyu Setyawan | 56 | Bronze Medal |
| 1996 | Andi Soedibjo | 94 | Honourable Mention |
| 1996 | Andri Purnama | 100 | Honourable Mention |
| 1996 | Wayan Gde Widiartha | 137 | Honourable Mention |
| 1996 | Herman Pandana | 139 | Honourable Mention |
| 1995 | Teguh Budimulia | 38 | Silver Medal |
| 1995 | Agus Bani Abdillah | 78 | Bronze Medal |
| 1995 | Herry | 103 | Honourable Mention |
| 1995 | I Putu Adiartha | 121 | Honourable Mention |
| 1995 | Rudy Raymond Harry Putra | 125 | Honourable Mention |
| 1993 | Oki Gunawan | 39 | Bronze Medal |
| 1993 | Jemmy Wijaya | 85 | Honourable Mention |
Results may be incomplete or incorrect.
Please send the relevant information to the webmaster:
<EMAIL_ADDRESS>If you are a participant you can send a personal page URL to be attached to your name.
If you are a participant you can send a personal page URL to be attached to your name.


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We are given large number of Wikipedia comments which have been labeled by human raters for toxic behavior.
The types of toxicity are: toxic
, severe_toxic
, obscene
, threat
, insult
, identity_hate
.
We should create a model which predicts a probability of each type of toxicity for each comment.
For the text data series we can create some features based on the given text. Some feature engineerings are:
Number: letters, capitals, punctuations, symbols, words, sentences, unique words, smileys, qn marks, excl marks
Mean: capitals, word length
Ratio: num of words / num of unique
Basic steps of text processing:
Remove: digits, punctuations
Conversion: lowercase
Split: split sentences into words
Stopwords: remove stopwords
Lemmatize: convert word to its base form
After doing the preprocessing of the data, we can get more insights into data using some visualization.
For the text classification I used Logistic Regression with following pipelines:
preprocess the data and add features
lemmatization
tf-idf for words
tf-idf for characters
then, logistic regression with grid search parameters
After searching for hyper parameters I got following results:
Accuracy : 0.9516096780643871
Precision: 0.9154411764705882
Recall : 0.532051282051282
F1-score : 0.672972972972973
The ROC AUC curve is given below
For the model explanation we can use lime module. For example for one sample here the model predicts the comment to be non-toxic. Why the model thinks this particular row is classified as non-toxic? We can look the image below:
Horizontal quantities are true labels and vertical quantities are predicted labels. For example first row second quantity is true toxic
but predicted as severe_toxic
.
precision recall f1-score support
0 0.11 0.98 0.19 3092
1 0.00 0.00 0.00 313
2 0.02 0.03 0.02 1667
3 0.12 0.01 0.02 99
4 0.00 0.00 0.00 1585
5 0.00 0.00 0.00 269
micro avg 0.10 0.44 0.16 7025
macro avg 0.04 0.17 0.04 7025
weighted avg 0.05 0.44 0.09 7025
samples avg 0.10 0.06 0.07 7025
Best Threshold : 0.41000000000000003
Test F1 Accuracy : 0.7806
Test Flat Accuracy : 0.9234
precision recall f1-score support
toxic 0.84 0.80 0.82 3092
severe_toxic 0.48 0.56 0.52 313
obscene 0.80 0.86 0.83 1667
threat 0.50 0.56 0.52 99
insult 0.71 0.83 0.77 1585
identity_hate 0.60 0.46 0.52 269
micro avg 0.77 0.79 0.78 7025
macro avg 0.66 0.68 0.66 7025
weighted avg 0.77 0.79 0.78 7025
samples avg 0.07 0.07 0.07 7025
I have used 3 epochs for both bert and XLNET. However bert gives better f1-score despite XLNET takes 3 hours to run and bert takes 1 hour in google colab GPU instance.
Best Threshold : 0.51
Test F1 Accuracy : 0.7670
Test Flat Accuracy : 0.9185
precision recall f1-score support
toxic 0.78 0.84 0.81 3092
severe_toxic 0.61 0.08 0.14 313
obscene 0.77 0.86 0.82 1667
threat 0.64 0.39 0.49 99
insult 0.76 0.73 0.74 1585
identity_hate 0.64 0.51 0.56 269
micro avg 0.77 0.77 0.77 7025
macro avg 0.70 0.57 0.59 7025
weighted avg 0.76 0.77 0.75 7025
samples avg 0.07 0.07 0.07 7025
| Quantity | Fasttext | BERT | XLNET |
|---|---|---|---|
| toxic | 0.19 | 0.82 | 0.81 |
| severe_toxic | 0.00 | 0.52 | 0.14 |
| obscene | 0.02 | 0.83 | 0.82 |
| threat | 0.02 | 0.52 | 0.49 |
| insult | 0.00 | 0.77 | 0.74 |
| identity_hate | 0.00 | 0.52 | 0.56 |
| micro_avg | 0.16 | 0.78 | 0.77 |
| macro_avg | 0.04 | 0.66 | 0.59 |
| weighted_avg | 0.09 | 0.78 | 0.75 |
| samples_avg | 0.07 | 0.07 | 0.07 |


| Table 1 |
Steps and activities for conducting a climate change vulnera ... |
| Table 2 |
Key sources of information for the Dominica assessment. |
| Table 3 |
Vulnerable groups and associated vulnerability factors by pr ... |
| Table 4 |
Examples of programs, initiatives, and partners that increas ... |
| Table 5 |
Examples of adaptation options to reduce climate change risk ... |


Almost everyone borrows money at some point in their life. When you borrow money from a bank or another financial organization, they charge interest.


The Java EE 7 Tutorial
35.2 Developing Embeddable Enterprise Bean Applications
All embeddable enterprise bean containers support the features listed in Table 35-1.
Table 35-1 Required Enterprise Bean Features in the Embeddable Container
| Enterprise Bean Feature | Description |
|---|---|
|
Local session beans |
Local and no-interface view stateless, stateful, and singleton session beans. All method access is synchronous. Session beans must not be web service endpoints. |
|
Transactions |
Container-managed and bean-managed transactions. |
|
Security |
Declarative and programmatic security. |
|
Interceptors |
Class-level and method-level interceptors for session beans. |
|
Deployment descriptor |
The optional |
Container providers are allowed to support the full set of features in enterprise beans, but applications that use the embedded container will not be portable if they use enterprise bean features not listed in Table 35-1, such as the timer service, session beans as web service endpoints, or remote business interfaces.
35.2.1 Running Embedded Applications
The embedded container, the enterprise bean components, and the client all are executed in the same virtual machine using the same classpath. As a result, developers can run an application that uses the embedded container just like a typical Java SE application, as follows:
java -classpath mySessionBean.jar:containerProviderRuntime.jar:myClient.jar \ com.example.ejb.client.Main
In the above example, mySessionBean.jar
is an EJB JAR containing a local stateless session bean, containerProviderRuntime.jar
is a JAR file supplied by the enterprise bean provider that contains the needed runtime classes for the embedded container, and myClient.jar
is a JAR file containing a Java SE application that calls the business methods in the session bean through the embedded container.
In GlassFish Server, the runtime JAR that includes the classes for the embedded container is glassfish-embedded-all.jar
.
35.2.2 Creating the Enterprise Bean Container
The javax.ejb.embedded.EJBContainer
abstract class represents an instance of the enterprise bean container and includes factory methods for creating a container instance. The EJBContainer.createEJBContainer
method is used to create and initialize an embedded container instance.
The following code snippet shows how to create an embedded container that is initialized with the container provider's default settings:
EJBContainer ec = EJBContainer.createEJBContainer();
By default, the embedded container will search the virtual machine classpath for enterprise bean modules: directories containing a META-INF/ejb-jar.xml
deployment descriptor, directories containing a class file with one of the enterprise bean component annotations (such as @Stateless
), or JAR files containing an ejb-jar.xml
deployment descriptor or class file with an enterprise bean annotation. Any matching entries are considered enterprise bean modules within the same application. Once all the valid enterprise bean modules have been found in the classpath, the container will begin initializing the modules. When the createEJBContainer
method successfully returns, the client application can obtain references to the client view of any enterprise bean module found by the embedded container.
An alternate version of the EJBContainer.createEJBContainer
method takes a Map
of properties and settings for customizing the embeddable container instance:
Properties props = new Properties(); props.setProperty(...); ... EJBContainer ec = EJBContainer.createEJBContainer(props);
<IP_ADDRESS> Explicitly Specifying Enterprise Bean Modules to Be Initialized
Developers can specify exactly which enterprise bean modules the embedded container will initialize. To explicitly specify the enterprise bean modules initialized by the embedded container, set the EJBContainer.MODULES
property.
The modules may be located either in the virtual machine classpath in which the embedded container and client code run, or alternately outside the virtual machine classpath.
To specify modules in the virtual machine classpath, set EJBContainer.MODULES
to a String
to specify a single module name, or a String
array containing the module names. The embedded container searches the virtual machine classpath for enterprise bean modules matching the specified names:
Properties props = new Properties(); props.setProperty(EJBContainer.MODULES, "mySessionBean"); EJBContainer ec = EJBContainer.createEJBContainer(props);
To specify enterprise bean modules outside the virtual machine classpath, set EJBContainer.MODULES
to a java.io.File
object or an array of File
objects. Each File
object refers to an EJB JAR file, or a directory containing an expanded EJB JAR file:
Properties props = new Properties(); File ejbJarFile = new File(...); props.setProperty(EJBContainer.MODULES, ejbJarFile); EJBContainer ec = EJBContainer.createEJBContainer(props);
35.2.3 Looking Up Session Bean References
To look up session bean references in an application using the embedded container, use an instance of EJBContainer
to retrieve a javax.naming.Context
object. Call the EJBContainer.getContext
method to retrieve the Context
object:
EJBContainer ec = EJBContainer.createEJBContainer(); Context ctx = ec.getContext();
References to session beans can then be obtained using the portable JNDI syntax detailed in Portable JNDI Syntax. For example, to obtain a reference to MySessionBean
, a local session bean with a no-interface view, use the following code:
MySessionBean msb = (MySessionBean) ctx.lookup("java:global/mySessionBean/MySessionBean");
35.2.4 Shutting Down the Enterprise Bean Container
From the client, call the close
method of the instance of EJBContainer
to shut down the embedded container:
EJBContainer ec = EJBContainer.createEJBContainer(); ... ec.close();
While clients are not required to shut down EJBContainer
instances, doing so frees resources consumed by the embedded container. This is particularly important when the virtual machine under which the client application is running has a longer lifetime than the client application.


How to Play
Press up arrow key to jump, press left arrow key to go left, and press right arrow key to go right.


| Year | School/higher school/University | Major | |
|---|---|---|---|
| 2006 | SLC | Shree Dahoo Secondary Ma Vi Dahoo SchoolEconomics | |
| 2011 | HSEB Degree | Kusheshwor H.S.School | English |
| 2015 | Bachler Degree | Sanothimi Campus | Nepali/English |
| Company | Position |
|---|---|
| April 2009-April 2016 | Dahoo SchoolTeacher |


{{ organization }} @ Passda?
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+
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Upload
batch or single results
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Publish the results
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Hold results
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Functions¶
By Robert Stewart Functions can be created in multiple ways:
# Assign 8 to x
repl> x: print(2); return 1 # declared without arguments or return type, semicolon can be used to have multiple statements on one block.
repl> x!
1
repl> x(i32 n)i32: print(n); return n # declared with arguments, and types.
repl> x(2)
2
2
repl> x(n) print(n); return n # declared with arguments, without types.
repl> x(2)
2
2
- Functions can omit the return keyword, last variable is returned::
- barkTwice:
- print(“bark”) print(“bark”) 1
repl>bark! “bark” “bark” 1
Functions can exists at any scope:
class A
bark:
woof: print("Woof") # This is a function inside a function
woof!
repl>A!.bark!
"Woof"


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Use as many boxes as you like,Use as many boxes as you like, and put anything you want in them! They are great for just about anything, the sky's the limit! like, and put anything you want in them! They are great for just about anything, the sky's the limit!

Use as many boxes as you like,Use as many boxes as you like, and put anything you want in them! They are great for just about anything, the sky's the limitboxes as you like, and put anything you want in them! They are great for just about anything, the sky's the limit!


{{myclinics['clinicinfo'][0].clinicname}}
Dr. {{myprofile['userinfo'].name}}
{{myprofile['usereducation'].doctoreducation}}
Regd No.:{{myprofile['userinfo'].regno}}
{{myclinics['clinicinfo'][0].line1}}, {{myclinics['clinicinfo'][0].nearmark}}, {{myclinics['clinicinfo'][0].location}}, {{myclinics['clinicinfo'][0].city}}-{{myclinics['clinicinfo'][0].pin}}, {{myclinics['clinicinfo'][0].state}} Ph.{{myclinics['clinicinfo'][0].isd}}-{{myclinics['clinicinfo'][0].phone}}
No:
Date :
{{billdate}}
Received with thanks from Mr./Mrs./Mast./Miss.
The Sum of Rupees
(
) towards following
Particulars
Rate (Rs.)
Quantity
Amount (Rs.)
Total Rs.
(
)
Description :
*Receipt Date :
*Amount :
Mode of Payment :
Cash
Cheque
Card
*Cheque No. :
*Date :
*Trx Ref No. :
Print Without Header


| vec_identify_runs {vctrs} | R Documentation |
vec_identify_runs()
returns a vector of identifiers for the elements of
x
that indicate which run of repeated values they fall in. The number of
runs is also returned as an attribute, n
.
vec_identify_runs(x)
x |
A vector. |
Unlike base::rle()
, adjacent missing values are considered identical when
constructing runs. For example, vec_identify_runs(c(NA, NA))
will return
c(1, 1)
, not c(1, 2)
.
An integer vector with the same size as x
. A scalar integer attribute,
n
, is attached.
x <- c("a", "z", "z", "c", "a", "a") vec_identify_runs(x) y <- c(1, 1, 1, 2, 2, 3) # With multiple columns, the runs are constructed rowwise df <- data_frame( x = x, y = y ) vec_identify_runs(df)


{% include header.html %}
{% include navbar.html %}
DAF
DAF-Core
DAF-Core {{page.title}} Profile
Definitions
Content
Detailed Descriptions
Mappings
XML
JSON
D.4.1.4
StructureDefinition: DAF-{{page.tcode}} - Detailed Descriptions
Definitions for the daf-{{page.code}} Profile.
{%include StructureDefinition-daf-{{page.code}}-dict.xhtml%}
{% include footer.html %}


I have a unique background, having studied a diverse set of interests including computer science, criminal justice, and engineering. Cybersecurity combines many of my interests and experience, making me motivated and well-suited for this field. After studying mechanical engineering and then computer science, I decided to complete my original degree to move on to my career more quickly. I graduated with a B.S. in Criminal Justice and have a CompTIA Security+ CE certification.
I assist in managing the information technology systems and concerns for this small business, usually remotely. I have designed and implemented business continuity plans, including data recovery and system redundancy. I regularly answer general IT questions and provide researched suggestions for products and solutions.
I began at The Home Depot as a part-time lot associate, pushing shopping carts, and assisting customers with loading and questions. In the fall of 2022, I began a new role as a full-time Pro-loader, where I assisted Pro customers with picking and loading their orders. I gained a wealth of experience in customer service at this store that has made me a much more well-rounded person.
This temporary job began with validating and entering records during Perma-Seal's mirgration from the outdated BizWiz platform to their new Salesforce i360 environment. My main focus involved finding legacy records and reviewing their notes to add as much correct information as possible to the corresponding record created in i360. This job refreshingly required more "investigative" work than data entry, making it a lot more interesting than it might sound. I quickly assumed more responsibilities including day-to-day accounting tasks, updating staff schedules, and even transcribing voicemails on rare occasions. In just few short months I added to my valuable experience with the Salesforce platform, experienced life at a smaller business, and worked with great people - I am grateful to have been part of their family for this brief time.
My team created a brand new process of automating discount prices based on data to optimize increase profit and retain customers. As the member with the most technical experience, I worked directly with the data and the database team as a pseudo-liaison. We overcame many obstacles along the way, from internal and external miscommunications, to server bandwidth, but in the end we created a profitable, cutting-edge system that I am proud to have worked on.
As a Salesforce administrator and amateur developer, I worked to enhance our capabilities and streamline the workflow for our users. From merging external data into Salesforce, linking data within the program, to building approval processes, I learned a lot of valuable skills in the program. I look forward to using it to solve problems and increase productivity more as my career continues.
As this was my first experience in the world of complex partnerships and contracts, it was important to dive in head first. By attending every team meeting, I not only improved my note taking skills exponentially, but I also developed a much better understanding of this aspect of business. I gained an invaluable appreciation for partners, as they are just as important as a company's own staff.
I will forever be greatful for this opportunity to develop my business mindset by getting experience in diverse areas at a fantastic company.Working for my university's Public Safety department was a life changing experience for me. In my freshman year of college, my university saw trustworthiness and responsibility in me, and I was very honored to be accepted into the department. I was excited to start my career in the field I had wanted to be in my entire life; hoping to help people on a daily basis.
As an intern for the 2nd largest sheriff's office in the country, I had a truly great opportunity. I had the opportunity to speak with several gang members and current inmates in the county jail. These are not the evil people that many distant observers make them out to be. They are humans that grew up in a world that told them their job would be being a gang soldier until they either died young, went to jail, or became the boss (which many would later realize was not a real possibility). These men spoke to me with compassion, and respect, and I showed them the same. Each conversation taught me more than any sociology class ever could. I am very grateful to have had this eye opening opportunity, that I wish more people could understand.
| Data Security | Access Control | Cryptography | NIST & NIMS |
| Physical Security | Vulnerability Analysis | PKI | Business Continuity |
| Network Security | Threat Analysis | E-Discovery | Web Development |
| Policy & Compliance | Risk Matrix | Digital Forensics | Scripting |
| Windows Server | SQL Server | Blockchain | Virtualization |
As you might have inferred from my diverse education and work history, I have a broad range of interests. Hockey and video games have always been my favorite pastime activities, but I spend most of my time listening to podcasts, or watching a multitude of content online.
My passion for learning is at the core of not only my interests, but also the person I have become. I grew up watching documentaries on the Science Channel, National Geographic, and The Military Channel (channels 272, 273, and 274 respectively) and rarely left that 3 channel range. As a kid and young teenager I would come home from class and listen to Morgan Freeman explain String Theory, blissfully unaware of all the advanced calculus underpinning physics.
As I grew up, I became more familiar with the power of Google and Wikipedia, and would Google any word I wasn't familiar with. While watching my favorite show, HOUSE M.D, this led to a lot of Wikipedia and Mayo Clinic rabbit holes, and has now left me with a completely impractical amount of random medical knowledge.
This pattern repeats itself with anything I watch or study, from history to theoretical physics, and most commonly with the broad field of computer science. I can spend hours on end listening to a podcast like Paul's Security Weekly, and Googling everything I don't understand, which ends up being the majority of each new episode.
My curiosity and constant drive to learn allow me to excel in the field of Computer Science. I have always relied heavily on self-study, even in traditional classes, which allows me to learn quickly and stay up to date with the newest technologies and tools in our field.


Provides global control over use of logging by JXSE.
The provided Logging.java
file is only one of several
practical implementations. The implementation strategies for
Logging.java
fall into three basic categories:
final static SHOW_* = <value>;
- All of the
SHOW_
fields are defined with literal
expressions allowing their value to be calculated at compile time. This
varient allows JXSE to be compiled such that logging is entirely
disabled (if <value>
is false
) and
the logging code is not even present in the compiled bytecode.
final static SHOW_*;
- The default. All of the
SHOW_
fields are defined in
a static initializer based upon a calculated value. Since their value
cannot be known at compile time the resulting bytecode will contain
the conditional logging code. Since the SHOW_
fields are
final
the JVM JIT can still optimize the bytecode as it is
dynamically compiled.
static SHOW_*;
- All of the
SHOW_
fields are defined in
a static initializer based upon a calculated value and may be redefined
at any time. Since their value cannot be known at compile time the
resulting bytecode will contain the conditional logging code. The values
of the SHOW_
may be changed at any time to dynamically
alter the logging behaviour.


Fusepool P3 Platform
Welcome to the Fusepool P3 Platform!
Apologize, this dashboard is still under development... But in the meantime you can directly access a simple GUI to interact with the platform; or directly access the backend admin ui, which includes LDP, SPARQL LDPath, etc.
About Fusepool P3
The goal is to make publishing and reuse of linked data as easy as possible for end user and data developers based on a thriving market economy with data publishers, developers, and consumers along the value chain.
Making data reusable and interoperable within and outside the organization requires a fundamentally different approach to 'storing' knowledge. "The best name is probably a Logical Data Warehouse...because it focuses on the logic of information ...[for] giving integrated access to all forms of information assets" (Gartner's Mark Beyer). Only with integrated access to the data it's possible to have apps on top of that data that scale across single implementations and provide added value for a wide variety of end user and data developers.


Have a nice day!
Have a nice day!
Have a nice day!
Have a nice day!
Have a nice day!
Have a nice day!
Have a nice day!


test compiled and minified CSS -->
Go to the site
This text is always visible. But if the page was open inside a document from another domain, the div over it would prevent any actions.
Click wouldn't work in that case


Liam Payne arrives in Paris with Maya Henry amid confusion over model's age
Liam Payne’s relationship with Maya Henry is going places… including to the City of Love.
The couple took their relationship public in August, although they are believed to have been dating for months before that, and have been inseparable ever since.
And Maya, 19, was on hand to accompany her beau to Paris, as the pair were seen disembarking the Eurostar looking effortlessly cool.
Liam, 26, wore a yellow-trimmed tracksuit beneath a plaid coat, teamed with retro aviator glasses, for the journey, and was serving us Blue Steel vibes as he arrived at Gare du Nord.
Meanwhile, model Maya kept her head down beneath a baseball cap, while wearing a white top, an embroidered denim jacket and tracksuit bottoms.
The couple’s trip to France comes amid confusion about Maya’s real age – after internet sleuths reckoned the model is a year younger than reported.
Advertisement Advertisement
One such detective tweeted last week: ‘Every article about Liam’s girlfriend says she’s 19 when she’s actually 18.
‘This is intentional because when fabricating this ridiculous PR campaign for her they said that they’ve been together for a year, which would mean that Liam was dating a 17 y/o. She’s a senior in HS.’
However, Strip That Down singer Liam – who has a two-year-old son Bear with ex Cheryl – hit back at the claims, tweeting: ’19, don’t believe everything you read on the internet.’
The confusion stems from a number of alleged birth dates floating about for Maya.
Various sources claim that Maya was born on 12 February 2001 and 15 June 2000 – although, according to Heat World, Maya herself said she was born in December.
In a clip from her family’s reality show Hanging With Los Henrys, from 2018, Maya said she was 17 and that she’d be 18 in December – meaning that Maya would now be 18, and turning 19 in a few weeks time.
In addition to this, in 2016, Maya’s father, Texan attorney Thomas J Henry, threw his daughter an epic quinceañera – a traditional Latin American celebration of a girl’s 15th birthday – worth a whopping $6 million (£4.6 million).
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If the party, which saw Nick Jonas and Pitbull perform, was timely for Maya’s birthday, she would have been 15 in March 2016 – meaning she’d still be 18 now.
Anyone else’s head hurt?
Got a showbiz story?
If you've got a story, video or pictures get in touch with the Metro.co.uk Entertainment team by emailing us<EMAIL_ADDRESS>calling 020 3615 2145 or by visiting our Submit Stuff page - we'd love to hear from you.


http://pauldotcom.com/2012/07/post-exploitation-recon-with-e.html
Windows
logman start LogCookies -p Microsoft-Winodws-WinInet -o logcookies.etl -ets
wevtutil qe logcookies.etl /If:true /f:Text | find /i "cookie added"
wevtutil qe logcookies.etl /If:true /f:Text | find /i "POST"
logman stop LogCookies -ets
https://wunderwuzzi23.github.io/blog/passthecookie.html#CheatSheet
Aquiring Cookies, Tools and Techniques
In case you don't won't to write your own toolset, there are a couple of options available to gain access to cookies:
There are also good articles online describing how to access and decrypt the cookies in the SQL Lite databases yourself - if you'd like to do your own research or tool.


@** * Very Bare template that does not assume anyone is logged in. For use in places * like the error screens. *@ @(content: Html) @import views.html.util._


 Where's your Digital Footprint?
Something that always amazed me is the amount of webdevelopers I happen to find on the web with literally almost no Digital Fooprint. Specially with people that I find on Freenode.
This normally happens when I’m looking for some small freelance stuff, or even just going voyeur style and find someone talking big. **People saying **
I did this and that big project here’s my twitter account and whatnot, help me, but I’m not allowed to show code.
Then when I’m really bored and in the right mood, I search his name. I’m amazed about the times I get only that profile the person just shared, that normally has one or two tweets.
Then sometimes when I get to talk to someone like that I actually ask them:
But why? Why can’t I find anything about you or your work? Why don’t you have a personal website or something?
**The answer is the same almost every time.  I’m a information freak, I don’t want people searching my name, and finding stuff about me.
My normal reaction is always.
Well sure, if you were a drug lord I could understand that. But from what you say you’re “just” a webdeveloper. Being one means spending a lot of time on the internet.
Let’s be serious, if you’re a webdeveloper you do this all the time.
Inevitable if you are a “normal” webdeveloper you will end up with some kind of digital footprint because you:
- help people in forums.
- have a twitter account.
- contributed to open-source projects.
- have a personal website.
- hopefully you blog.
- are not afraid of this thing called the Internet.
What I’m trying to say is: it’s ok if you want to protect your personal information from the Elders of the internet. Actually I think the Internet appreciates that. I think there’s enough weird family photos around already.
However, I’m sure you use stackoverflow all the time. You find answers on forums everyday. Every now and again you even ask for help yourself. But when you see that lonely person asking for help on a forum, and you actually know the solution to that poor soul problem, you just close the window and move on with your life.
If you are that kind of webdeveloper. I’m sorry to tell you this, but you’re also a douche.
Note that I’m not saying that you should answer every question you find. I don’t do it myself if that question can be answered with a simple google search. But don’t expect people to help you all the time because the person on the other side can be a douche just like you.


@(questions: java.util.List[Question])(JSONquestions: String)(JSONdurations: String)(user: models.User) @* Interview Recording page. @questions - list of questions to answer @JSONquestions - question list, formatted as JSON @JSONdurations - question duration list, formatted as JSON @user - currently logged in user *@ @import helpers.FormatHelper.SecToMMSS @stylesheets = { } @javascripts = { } @main("Record new interview - Careers From Here")(stylesheets)(javascripts)(user) {


kinship2: Pedigree Functions
Routines to handle family data with a pedigree object. The initial purpose was to create correlation structures that describe
family relationships such as kinship and identity-by-descent, which
can be used to model family data in mixed effects models, such as in the
coxme function. Also includes a tool for pedigree drawing which is
focused on producing compact layouts without intervention. Recent additions
include utilities to trim the pedigree object with various criteria, and
kinship for the X chromosome.
| Version: |
1.6.4 |
| Depends: |
R (≥ 3.1.0), Matrix, quadprog |
| Imports: |
graphics, stats, methods |
| Published: |
2015-08-03 |
| Author: |
Terry M Therneau [aut],
Schaid Daniel [ctb],
Jason Sinnwell [aut, cre],
Elizabeth Atkinson [ctb] |
| Maintainer: |
Jason Sinnwell <sinnwell.jason at mayo.edu> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: |
http://r-forge.r-project.org |
| NeedsCompilation: |
no |
| Materials: |
NEWS |
| CRAN checks: |
kinship2 results |
Downloads:
Reverse dependencies:
| Reverse depends: |
ElstonStewart, FamEvent, Familias, GESE, KMgene, MasterBayes, pedantics, pedgene |
| Reverse imports: |
famSKATRC, fat2Lpoly, GENLIB, LCAextend, MESS, optiSel, paramlink, RVFam, SimRVPedigree |
| Reverse suggests: |
coxme, gap, Mangrove, pbatR, seqMeta, solarius |
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=kinship2
to link to this page.


Type in what you want below. If you get rubbish results, type in more of the actual name of the thing you want. The search is very fuzzy.


Lets start with something really simple, by adding the following line <exemplify [selector]="'#basic'"></exemplify> below the actual code, this is what we'll get.
<exemplify [selector]="'#basic'"></exemplify>
Some content and a button.


TicketSales
Ethereum tutorial app
Event state:
?
Account:
?
ETH
Your Balance:
?
ETH
Ticket price:
?
ETH
Buy Ticket
Hint:
open the browser developer console to view any errors and warnings.


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Arbitrage-free Smoothing of the Implied Volatility Surface
Implementation according to Fengler (2009) with example data taken from Appendix B.
Contents
Load data
clear load data_appendixB ivs = ivs/100; r = r/100; % * dax = scalar = close of DAX index on 13 June 2000 % * ivs = (KxT) = implied volatility surface of call options (NaN if no % option is traded with corresponding strike-maturity combination % * maturity_days (1xT) = maturity (in days) of options for each column of % ivs % * q = scalar = dividend yield of index (is 0 since DAX is a performance % index) % * r = (1xT) = risk-free rate corresponding to maturities % * strike = (Kx1) = strikes of options for each row of ivs
Prepare data
All input data should be either a vector or a scalar. In the later case, the scalar is transformed into a corresponding vector with the same value in each element.
T = length(maturity_days); K = length(strike); implied_volatility = reshape(ivs, [], 1); strike = repmat(strike, T,1); maturity = reshape(repmat(maturity_days',1,K)',[],1); pos_nan = isnan(implied_volatility); implied_volatility = implied_volatility(~pos_nan); strike = strike(~pos_nan); maturity = maturity(~pos_nan); [~, pos] = ismember(maturity, maturity_days); interestrate = r(pos); maturity = maturity/365.25; clear K T ivs maturity_days pos_nan
Estimation using strike-call_price nodes
call_price = blsprice(dax, strike, interestrate, maturity, implied_volatility, q); [u, tau, g, gamma] = ivs_smoothed(call_price, dax, strike, ... maturity, interestrate, q, implied_volatility); [call_price_smoothed, implied_volatility_smoothed] = ... evaluateSpline(u, tau, g, gamma, dax, strike, ... interestrate, maturity, q); % Plot Original and Arbitrage-Free Smoothed Prices figure1 = figure; plot(strike, call_price, 'ob'); hold on plot(strike, call_price_smoothed, 'xr'); title('DAX Call Option Prices (13 June 2000)'); xlabel('Strike'); ylabel('Option Price'); legend('Original Prices', 'Smoothed Prices'); hold off % Plot results for smallest maturity (motivated by Figure 4 in the working % paper version Fengler (2005)) figure2 = figure; pos = maturity==tau(1); plot(strike(pos), call_price(pos), 'ob'); hold on plot(strike(pos), call_price_smoothed(pos), 'xr'); title('DAX Call Option Prices with 3 Days to Expiration (13 June 2000)'); xlabel('Strike'); ylabel('Option Price'); legend('Original Prices', 'Smoothed Prices'); hold off % Plot Lower Right Details for Strikes between 7500 and 10000 figure3 = figure; pos = maturity==tau(1) & 7500 <= strike & strike <= 10000; plot(strike(pos), call_price(pos), 'ob'); hold on plot(strike(pos), call_price_smoothed(pos), 'xr'); title('DAX Call Option Prices with 3 Days to Expiration (13 June 2000)'); xlabel('Strike'); ylabel('Option Price'); legend('Original Prices', 'Smoothed Prices'); hold off % Plot Implied Volatility Smile for Strikes between 7500 and 10000 figure4 = figure; pos = maturity==tau(1); plot(strike(pos), implied_volatility(pos), 'ob'); hold on plot(strike(pos), implied_volatility_smoothed(pos), 'xr'); title('DAX Call Option Prices with 3 Days to Expiration (13 June 2000)'); xlabel('Strike'); ylabel('Implied Volatility'); legend('Original Prices', 'Smoothed Prices'); hold off % Plot Smoothed Implied Volatility Surface ivs = blsimpv(dax,u, repmat(r', size(u,1),1), repmat(tau', size(u,1),1), g, [], q); figure5 = figure; axes5 = axes('Parent',figure5,'YDir','reverse'); view(axes5,[-59.5 34]); grid(axes5,'on'); hold(axes5,'all'); surfc(repmat(tau(2:end)', size(u,1),1), u(:,2:end), ivs(:,2:end),'Parent',axes5);
close figures
close(figure1); close(figure2); close(figure3); close(figure4); close(figure5);


Creating Windows Installers With the WiX Toolset Part 5
Part 2 – An Overview Of Windows Installer and its Features
Part 3 – Tooling Options for Building Installers
Part 4 – The Windows Installer Runtime Sequence
Part 5 – The Contents of an MSI
Part 6 – The Structure of a WiX File
Part 7 – Generating an MSI Package From Your WiX
Part 8 – Troubleshooting Installer Runtime Problems
Part 9 - Summary
Summary
This post discusses what an MSI is, We’ll use a Microsoft SDK tool called Orca to examine what the internal structure looks like. We’ll also talk about how the internal structure maps to Windows Installer concepts. While this post is not about WiX directly, authoring in WiX requires a good understanding of these internal structures and how they interconnect.
The Contents of an MSI
If you’ve installed several software applications like Office or Halo on your computer, chances are you’ve come across a file with type of MSI. MSI stands for Microsoft Installer, and is the primary package type that Windows Installer consumes to install a product.
There are other file types used by Windows Installer, but MSI is the only “required” type for making an installer. I’m not going to discuss the other types, but you can find out more about them here.
For our dissection we’re going to use an MSI that installs a single file - HelloWorld.exe. Here’s the installer:
The installer has no user interface. This is what happens when you double click the MSI to install it:
What happens next is the window changes to say “Please wait while Windows configures Edgewolf HelloWorld” with a progess bar, and then performs the installation and closes. This happens so fast I couldn’t get a screenshot of it before it disappeared. After we run the installer, we have a new entry in Programs and Features that looks like this:
And we can find our installed program here:
It doesn’t get much simpler then that, right?
MSI Internal Structure
It’s interesting how trends in software development affect technical implementations. For example, the programming language Java was rising to prominence around the same time the XML file format was being widely touted as THE way to store data for a variety of reasons. As a result, Java Enterprise Edition (J2EE) relies heavily on XML files, to the point that I’ve heard jokes that enterprise Java development consists of writing one line of code and editing twenty XML files.
Windows Installer is no different, and its source of large inspiration is relational databases. An msi package is, quite literally, a database file with tables and rows in it. Here’s a partial schema diagram:
Since an installer is for a single product, there’s dedicated table for that. But a product like Microsoft Office does have multiple features such as Word, Excel, and PowerPoint. Large features will typically be composed of a collection of subfeatures that can be installed or not installed and still have a working feature. Examples of subfeatures for Word would be items like spellcheck, or clipart.
Features and subfeatures are “above the water” concepts in the way that they are exposed directly to the person using the installer. The user sees them and has a chance to choose what features they do or do not want.
Features are composed of one or more components. Components are tangible items like files, start menu shortcuts, and registry entries. Components are “below the water” in the sense that they aren’t meant to be exposed to users. When you’re installing Word, you could care less that you’re getting the files winword.exe, wordcnv.dll, wordcnvpxy.cnv….well you get the idea. Components are linked to a directory where they are installed, and are composed of one or more files. Because the directory link is at the component level, obviously all of the files in the component need to target the same directory.
Components are tied to features with a linking Feature Component table.
In addition to the payload tables we just looked at, an MSI also has sequence tables that instruct Windows Installer what steps to execute and in what order. There are a number standard actions included in Windows Installer such as calculating the disk space needed to perform the installation. It’s also possible to write your own custom actions, I plan on talking about that in a later post.
Installing Orca
Microsoft provides a free tool called Orca that can be used to examine an MSI file. It isn’t part of Windows, but it’s included with the Windows 7 SDK. You can get an ISO of the Windows 7 SDK here and the Windows 8 SDK is available here.
Once you’ve installed the SDK, you can find an installer for Orca in the Bin directory (something similar to C:\Program Files\Microsoft SDKs\Windows\v7.1\Bin). Run the installer, and then you’ll have Orca in your start menu.
Examining the Hello World MSI
Start Orca. Click File..Open, and open the MSI you want to load. Here’s what you’ll see:
In addition to tables, the installer stores some nonrelational information in a Summary Stream. You can view this by clicking “View..Summary Information”. Most of it is product related, but the target architecture (32bit or 64bit) is also stored here.
Looking at the feature table, we see this installer only has one feature - Complete (as in a complete install).
The FeatureComponent table links one component to our feature, the component called MainExecutable.
Heading over to the component table, we see MainExecutable, and it targets the INSTALLDIR for the directory.
The INSTALLDIR is going into an Edgewolf HelloWorld subdirectory under Program Files.
So where’s the actual exe? In the File table, and we see its linked to the MainExecutable component.
I didn’t mention it earlier, but there’s also a Property table that’s a catch-all name value pair collection.
The sequence tables instruct Windows Installer in what steps to take to run the installer. Recall that there are two install stages (the UI stage and the Execution stage). There are tables for each, and looking at the pictures below we can see the difference between the two:
That’s enough for this post. Now we have a solid understanding of the basic building blocks in an installer package. In the next post we’ll take a look at the WiX that generated this MSI.


{% extends "base.html" %} {% block body %}
Select the source dataset from which to create a new dataset.
Tip: Only public datasets are available. Additional local datasets may be available if you are affiliated with this institution and are on the proper network, e.g., on-campus or using VPN.
Select the source dataset. Next step is to select the tweets.


CrimPapers
Articles published on 18 April 2017
On 18 April 2017, 11 new articles were published in 8 journals.
Situational Prevention of Domestic Violence: A Review of Security-Based Programs
Psychological Maltreatment, Coping Strategies, and Mental Health Problems: A Brief and Effective Measure of Psychological Maltreatment in Adolescents
Age and Its Relation to Crime in Taiwan and the United States: Invariant, Or Does Cultural Context Matter? by Darrell Steffensmeier, Hua Zhong, Yunmei Lu
Book Review: When Technology Hurts, How Pornography Harms: What Today's Teens, Young Adults, Parents, and Pastors Need to Know By John Foubert
Book Review: the End of Patriarchy: Radical Feminism For Men By Robert Jensen
Intimate Partner Violence Among Female Oef/oif/ond Veterans Who Were Evaluated For Traumatic Brain Injury in the Veterans Health Administration: A Preliminary Investigation
Who Gets Blamed For Rapes: Effects of Immigration Status on the Attribution of Blame Toward Victims and Perpetrators
School Personnel’s Bystander Action in Situations of Dating Violence, Sexual Violence, and Sexual Harassment Among High School Teens: A Qualitative Analysis
Developmental Predictors of Violent Extremist Attitudes
Self-Control and Immigrant Adolescent Victimization
Analyzing the Threat of Unmanned Aerial Vehicles (uav) to Nuclear Facilities


public interface RobotController
RobotPlayer
is
constructed, it is passed an instance of RobotController
that
controls the newly created robot.| Modifier and Type | Method and Description |
|---|---|
void |
addMatchObservation(String observation)
Adds a custom observation to the match file, such that when it is analyzed, this observation will appear.
|
void |
attackLocation(MapLocation loc)
Queues an attack on the given location to be performed at the end of this turn.
|
void |
breakpoint()
If breakpoints are enabled, calling this method causes the game engine to
pause execution at the end of this round, until the user decides to
resume execution.
|
void |
broadcast(int channel,
int data)
Broadcasts a message to the global message board.
|
void |
build(Direction dir,
RobotType type)
Builds a structure in the given direction, queued for the end of the turn.
|
boolean |
canAttackLocation(MapLocation loc)
Returns whether the given location is within the robot's attack range.
|
boolean |
canBuild(Direction dir,
RobotType type)
Returns whether the robot can build a structure of the given type in the given direction, without taking delays into account.
|
boolean |
canLaunch(Direction dir)
Returns whether the direction is valid for launching (LAUNCHER only).
|
boolean |
canMine()
Returns whether the robot is able to mine, without taking delays into account.
|
boolean |
canMove(Direction dir)
Tells whether this robot can move in the given direction, without taking any sort of delays into account.
|
boolean |
canSenseLocation(MapLocation loc)
Returns true if the given location is within the robot's sensor range, or within the sensor range of some ally.
|
boolean |
canSenseRobot(int id)
Returns true if the given robot is within the robot's sensor range.
|
boolean |
canSpawn(Direction dir,
RobotType type)
Returns whether the spawn action is valid, without taking delays into account.
|
void |
castFlash(MapLocation loc)
Casts Flash at the given location (COMMANDER only).
|
DependencyProgress |
checkDependencyProgress(RobotType type)
Gets the current progress of a dependency (relevant for building structures).
|
void |
disintegrate()
Kills your robot and ends the current round.
|
void |
explode()
Attacks all surrounding enemies (MISSILE only).
|
long |
getControlBits()
Gets this robot's 'control bits' for debugging purposes.
|
double |
getCoreDelay()
Returns the amount of core delay a robot has accumulated.
|
int |
getFlashCooldown()
Returns the current cooldown of FLASH (COMMANDER only).
|
double |
getHealth()
Gets the robot's current health.
|
int |
getID()
Use this method to access your ID.
|
MapLocation |
getLocation()
Gets the robot's current location.
|
int |
getMissileCount()
Returns how many missiles the robot has.
|
int |
getRoundLimit()
Gets the number of rounds in the game.
|
double |
getSupplyLevel()
Gets the robot's current supply level.
|
Team |
getTeam()
Gets the Team of this robot.
|
long[] |
getTeamMemory()
Returns the team memory from the last game of the match.
|
double |
getTeamOre()
Gets the team's total ore.
|
RobotType |
getType()
Gets this robot's type (SOLDIER, HQ, etc.).
|
double |
getWeaponDelay()
Returns the amount of weapon delay a robot has accumulated.
|
int |
getXP()
Gets the experience a robot has.
|
boolean |
hasBuildRequirements(RobotType type)
Returns whether you have the ore and the dependencies to build the given robot, and that the robot can build structures.
|
boolean |
hasCommander()
Returns whether the team currently has a commander.
|
boolean |
hasLearnedSkill(CommanderSkillType skill)
Returns whether the robot has learned a skill (only relevant if used by a COMMANDER).
|
boolean |
hasSpawnRequirements(RobotType type)
Checks to make sure you have the ore requirements to spawn, and that the structure can actually spawn the specified RobotType.
|
boolean |
isBuildingSomething()
Returns whether this robot is currently building anything.
|
boolean |
isCoreReady()
Returns whether the core delay is strictly less than 1 (whether the robot can perform a core action in the given turn).
|
boolean |
isLocationOccupied(MapLocation loc)
Returns whether there is a robot at the given location.
|
boolean |
isPathable(RobotType type,
MapLocation loc)
Returns whether a robot of the given type can move into the given location, without taking any sort of delays into account.
|
boolean |
isWeaponReady()
Returns whether the weapon delay is less than 1 (whether the robot can attack in the given turn).
|
void |
launchMissile(Direction dir)
Launches a missile in the given direction (LAUNCHER only).
|
void |
mine()
Mines the current square for ore.
|
void |
move(Direction dir)
Queues a move in the given direction to be performed at the end of this turn.
|
int |
readBroadcast(int channel)
Retrieves the message stored at the given radio channel.
|
void |
resign()
Causes your team to lose the game.
|
MapLocation |
senseEnemyHQLocation()
Returns location of the enemy team's HQ (unconstrained by sensor range or distance).
|
MapLocation[] |
senseEnemyTowerLocations()
Returns the locations of surviving enemy towers, unconstrained by sensor range or distance.
|
MapLocation |
senseHQLocation()
Returns location of the allied team's HQ (unconstrained by sensor range or distance).
|
RobotInfo[] |
senseNearbyRobots()
Returns all robots that can be sensed on the map.
|
RobotInfo[] |
senseNearbyRobots(int radiusSquared)
Returns all robots that can be sensed within a certain radius of the robot.
|
RobotInfo[] |
senseNearbyRobots(int radiusSquared,
Team team)
Returns all robots of a given team that can be sensed within a certain radius of the robot.
|
RobotInfo[] |
senseNearbyRobots(MapLocation center,
int radiusSquared,
Team team)
Returns all robots of a givin team that can be sensed within a certain radius of a specified location.
|
double |
senseOre(MapLocation loc)
Returns the amount of ore at a given location (to within sensor capabilities).
|
RobotInfo |
senseRobot(int id)
Senses information about a particular robot given its ID.
|
RobotInfo |
senseRobotAtLocation(MapLocation loc)
Returns the robot at the given location, or
null
if there is no object there. |
TerrainTile |
senseTerrainTile(MapLocation loc)
Senses the terrain at the given location.
|
MapLocation[] |
senseTowerLocations()
Returns the locations of your own towers, unconstrained by sensor range or distance.
|
void |
setIndicatorDot(MapLocation loc,
int red,
int green,
int blue)
Draws a dot on the game map, for debugging purposes.
|
void |
setIndicatorLine(MapLocation from,
MapLocation to,
int red,
int green,
int blue)
Draws a line on the game map, for debugging purposes.
|
void |
setIndicatorString(int stringIndex,
String newString)
Sets one of this robot's 'indicator strings' for debugging purposes.
|
void |
setTeamMemory(int index,
long value)
Sets the team's "memory", which is saved for the next game in the
match.
|
void |
setTeamMemory(int index,
long value,
long mask)
Sets this team's "memory".
|
void |
spawn(Direction dir,
RobotType type)
Queues a spawn action to be performed at the end of this robot's turn.
|
void |
transferSupplies(int amount,
MapLocation loc)
Transfers supplies to a robot in a nearby location (queued for the end of the turn).
|
void |
yield()
Ends the current round.
|
int getRoundLimit()
double getTeamOre()
int getID()
Team getTeam()
RobotType getType()
MapLocation getLocation()
double getCoreDelay()
double getWeaponDelay()
double getHealth()
double getSupplyLevel()
int getXP()
int getMissileCount()
boolean isBuildingSomething()
MapLocation senseHQLocation()
MapLocation senseEnemyHQLocation()
MapLocation[] senseTowerLocations()
MapLocation[] senseEnemyTowerLocations()
TerrainTile senseTerrainTile(MapLocation loc)
loc
- the location to check.boolean canSenseLocation(MapLocation loc)
loc
- the location to check.boolean isLocationOccupied(MapLocation loc) throws GameActionException
loc
- the location to check.GameActionException
- if loc
is not within sensor range (CANT_SENSE_THAT).RobotInfo senseRobotAtLocation(MapLocation loc) throws GameActionException
null
if there is no object there.loc
- the location to check.GameActionException
- if loc
is not within sensor range (CANT_SENSE_THAT).boolean canSenseRobot(int id)
id
- the ID of the robot to query.RobotInfo senseRobot(int id) throws GameActionException
id
- the ID of the robot to query.GameActionException
- if the robot cannot be sensed (for example, if it doesn't exist or is out of sight range).RobotInfo[] senseNearbyRobots()
RobotInfo[] senseNearbyRobots(int radiusSquared)
radiusSquared
- return objects this distance away from the center.RobotInfo[] senseNearbyRobots(int radiusSquared, Team team)
radiusSquared
- return objects this distance away from the center.team
- filter game objects by the given team. If null is passed, objects from all teams are returned.RobotInfo[] senseNearbyRobots(MapLocation center, int radiusSquared, Team team)
center
- center of the given search radius.radiusSquared
- return objects this distance away from the center.team
- filter game objects by the given team. If null is passed, objects from all teams are returned.boolean isCoreReady()
boolean isWeaponReady()
boolean isPathable(RobotType type, MapLocation loc)
type
- the type of the robot.loc
- the location to test.boolean canMove(Direction dir)
dir
- the direction to move in.void move(Direction dir) throws GameActionException
dir
- the direction to move in.GameActionException
- if the robot cannot move in this direction.boolean canAttackLocation(MapLocation loc)
loc
- the location to attempt to attack.void attackLocation(MapLocation loc) throws GameActionException
loc
- the location to attack.GameActionException
- if the robot cannot attack the given square.void explode() throws GameActionException
GameActionException
- if the robot cannot explode.boolean hasCommander()
void castFlash(MapLocation loc) throws GameActionException
loc
- the target location.GameActionException
- if the robot has not learned the spell or cannot cast at the given square.boolean hasLearnedSkill(CommanderSkillType skill) throws GameActionException
skill
- the skill being checked.GameActionException
- if there is no commander.int getFlashCooldown() throws GameActionException
GameActionException
- if there is no commander.void broadcast(int channel, int data) throws GameActionException
channel
- the channel to write to, from 0 to BROADCAST_MAX_CHANNELS
.data
- one int's worth of data to write.GameActionException
- if the channel is invalid.int readBroadcast(int channel) throws GameActionException
channel
- radio channel to query, from 0 to BROADCAST_MAX_CHANNELS
.GameActionException
- if the channel is invalid.void transferSupplies(int amount, MapLocation loc) throws GameActionException
amount
- the amount of supply to transfer.loc
- the location to transfer the supply to.GameActionException
- if there is no one to transfer to, or if the distance is too far for a supply transfer.boolean canMine()
double senseOre(MapLocation loc)
loc
- the MapLocation to sense ore at.void mine() throws GameActionException
GameActionException
- if the current robot is not one that can collect oreGameActionException
- if there is currently movement delay and if the robot cannot mineboolean canLaunch(Direction dir)
dir
- the direction to check.void launchMissile(Direction dir) throws GameActionException
dir
- the direction to launch a missile.GameActionException
- if not enough missiles or otherwise can't attack.DependencyProgress checkDependencyProgress(RobotType type)
type
- the dependency to check.boolean hasSpawnRequirements(RobotType type)
type
- the type to check.boolean canSpawn(Direction dir, RobotType type)
dir
- the direction to spawn in.type
- the type to spawn.void spawn(Direction dir, RobotType type) throws GameActionException
dir
- the direction to spawn the robot in.type
- the robot type to spawn.GameActionException
- if the spawn is bad.boolean hasBuildRequirements(RobotType type)
type
- the type to build.boolean canBuild(Direction dir, RobotType type)
dir
- the direction to build in.type
- the robot type to spawn.void build(Direction dir, RobotType type) throws GameActionException
dir
- the direction to bulid in.type
- the type to build.GameActionException
- if the build is bad.void yield()
void disintegrate()
void resign()
void setTeamMemory(int index, long value)
GameConstants.TEAM_MEMORY_LENGTH
longs. If this method is called more than once with the same index
in the same game, the last call is what is saved for the
next game.index
- the index of the array to set.value
- the data that the team should remember for the next game.ArrayIndexOutOfBoundsException
- if index
is less
than zero or greater than or equal to GameConstants.TEAM_MEMORY_LENGTH
.getTeamMemory()
,
setTeamMemory(int, long, long)
void setTeamMemory(int index, long value, long mask)
setTeamMemory(int, long)
provides. For example,
if mask == 0xFF
then only the eight least significant bits of
the memory will be set.index
- the index of the array to set.value
- the data that the team should remember for the next game.mask
- indicates which bits should be set.ArrayIndexOutOfBoundsException
- if index
is less
than zero or greater than or equal to GameConstants.TEAM_MEMORY_LENGTH
.getTeamMemory()
,
setTeamMemory(int, long)
long[] getTeamMemory()
GameConstants.TEAM_MEMORY_LENGTH
.
If setTeamMemory was not called in the last game, or there was no last game, the
corresponding long defaults to 0.setTeamMemory(int, long)
,
setTeamMemory(int, long, long)
void setIndicatorString(int stringIndex, String newString)
stringIndex
- the index of the indicator string to set. Must be between 0 and GameConstants.NUMBER_OF_INDICATOR_STRINGS.newString
- the value to which the indicator string should be set.void setIndicatorDot(MapLocation loc, int red, int green, int blue)
loc
- the location to draw the dot.red
- the red component of the dot's color.green
- the green component of the dot's color.blue
- the blue component of the dot's color.void setIndicatorLine(MapLocation from, MapLocation to, int red, int green, int blue)
from
- the location to draw the line from.to
- the location to draw the line to.red
- the red component of the line's color.green
- the green component of the line's color.blue
- the blue component of the line's color.long getControlBits()
void addMatchObservation(String observation)
observation
- the observation you want to inject into the match file.void breakpoint()


What will your verse be?
Everyone has something to share. See how people are using iPad in their unique ways to add to the world’s story.
What will your verse be?
Everyone has something to share. See how people are using iPad in their unique ways to add to the world’s story.


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Inside Freddie Mercury's 'special bond' with Queen band mate John Deacon
Freddie Mercury and John Deacon were, on the face of it, chalk and cheese in the Queen set up but they become the closest pairing in the band as life became more chaotic
by James Brinsford, https://www.facebook.com/james.brinsfordFreddie Mercury may have been one of the more extroverted singers of his generation but his closest friend in Queen was the quietest member.
Peter Freestone was a PA to the band and witnessed the friendship from close up and has revealed what bonded Freddie with bassist John Deacon.
While Freddie embraced the hedonistic lifestyle of a successful rock star, John was happy to be in the shadows, plying his trade and keeping out of the public eye.
The death of Freddie in 1991 devastated John and he immediately quit the band and has been in reclusive retirement ever since, not wanting to come back with Brian May and Roger Taylor as Queen rose again from the ashes.
Speaking to The Express , Peter said that Freddie and John bonded from the beginning.
He said: "Freddie took John under his wing because he was the new boy. He was shy, not like Brian and Roger. He wanted to protect him.
"And then John found a wife and built a life with Veronica and Freddie didn’t need to look after him so much any more.
"Even so, when you look on later albums, there are a few Deacon/Mercury tracks, because John was the only one who acknowledged how much Freddie helped him."
There was one habit that John was not so keen on and that was Freddie's desire to kick off a fight before going into a recording studio.
It was the singer's way of pumping up the adrenaline before the band looked to lay down a track or two.
Peter revealed: "Freddie would provoke fights with whoever was there because that gave him the impetus to work, it got his juices flowing.
"Like Brian always said, they were four people in a marriage because you have to be that close to be able to fight and make up. Most of the time it was about the music. Very rarely was the fighting and screaming personal."
Jacky Smith, who ran the Queen fan club for 37 years and said that after the death of Freddie, there wasn't any impetus for John to carry on.
She said: "John just gave up after Freddie died. He and Freddie were opposites really because John is so shy and he was the youngest in the band. Freddie took him under his wing and they were very close for all those years.
"Freddie drew the attention away, and without Freddie there, I don't think John could face any of it."
John rarely spoke in public but he was blunt with his assessment in 1996, when he addressed why he was no longer in the band.
He said: "As far as we are concerned, this is it. There is no point carrying on. It is impossible to replace Freddie."
John is still living in South Putney, London, in the same house with Veronica, his wife of 44 years.
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Hyderabad's Mecca Masjid
Facts about Hyderabad's Mecca Masjid :
- Construction of Hyderabad's Mecca Masjid, one of the world's largest mosques-and one of the oldest in India-began in 1614 during Mohammed Quli Qutub Shah's reign and took almost 80 years to complete.
- Large enough to accommodate 10,000 worshipers.
- This beautiful mosque's 15 enormous arches and pillars were each wrought from single slabs of black granite dragged to the site by huge cattle trains reputedly consisting of up to 1,400 bulls.
- Taking its name from the bricks above the central gate that were brought here from Mecca, this impressive complex features highlights such as its main gateway, huge plaza, a large manmade pond, and a room that houses the hair of Prophet Mohammed.
- Other notable features include inscriptions from the Quran above many of the arches and doors, the exquisite roof of the main hall, the cornices around the entire mosque structure, and the floral motifs and friezes over the arches.


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BDCS-CE Tutorials
For BDCS-CE Version 17.2.1
Tutorial 1 Notebook Basics
Tutorial 2 Setting up your BDCSCE Environment
Tutorial 3 Working with the Object Store and HDFS
Tutorial 4 Introduction to Spark and Spark SQL


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Modify pom.xml as follows.
<properties> <spring.version>5.1.5.RELEASE</spring.version> <spring.security.version>5.1.3.RELEASE</spring.security.version> <jdk.version>1.8</jdk.version> </properties>
<dependency> <groupId>org.springframework.security</groupId> <artifactId>spring-security-web</artifactId> <version>${spring.security.version}</version> </dependency> <dependency> <groupId>org.springframework.security</groupId> <artifactId>spring-security-taglibs</artifactId> <version>${spring.security.version}</version> </dependency> <dependency> <groupId>org.springframework.security</groupId> <artifactId>spring-security-config</artifactId> <version>${spring.security.version}</version> </dependency>
After building and rerunning Tomcat, go to the login page and try to log in. You will see a blank screen.
There is no error message in the log.
This is because the CSRF prevention function of Spring Security 4 is working.
Since Spring Security 4, this function is enabled by default.
Therefore, you must include the CSRF token in the PATCH, POST, PUT, and DELETE requests.
Open the /users/login.jsp file and add the following to the form:
<input type="hidden" name="${_csrf.parameterName}" value="${_csrf.token}" />
Forms that use Springform tags automatically add token parameters, so you do not need the above code.
Try to log in again.
This time you will get a 404 error that you can not find /j_spring_security_check.
The default value of the login-processing-url attribute is changed from /j_spring_security_check to /login of POST method.
The default value of the username-parameter attribute is changed from j_username to username.
The default value for the password-parameter attribute is changed from J_password to password.
The default value of the authentication-failure-url attribute is changed to /login?error=1.
Modify security.xml as follows.
<form-login login-page="/users/login" authentication-failure-url="/users/login?error=1" default-target-url="/bbs/list?boardCd=free&page=1" />
The default value of the login-page attribute is /login, the default value of the authentication-failure-url attribute is /login?error=1.
If you omit the attribute from the configuration file, it is set to the default value of the attribute.
To use the user login page and go back to the user login page when a login fails,
specify the authentication-failure-url attribute in addition to the login-page attribute in the security configuration file and the following are required.
<http use-expressions="true"> <intercept-url pattern="/users/login" access="permitAll" />
The default value of use-expressions has been changed from false to true, so it can be omitted as shown below.
<http> <intercept-url pattern="/users/login" access="permitAll" />
Modify login.jsp as follows.
<c:if test="${param.error != null }">
Username/Password not corrrect
 </c:if> <c:url var="loginUrl" value="/login" /> <form action="${loginUrl }" method="post">
 <input type="hidden" name="${_csrf.parameterName}" value="${_csrf.token}" />

 <spring:message code="user.email" />	 <input type="text" name="username" style="width: 99%;" />

 <spring:message code="user.password" />	 <input type="password" name="password" style="width: 99%;" />

Build and rerun Tomcat.
Try to login and logout.
When you log out, you will see a blank screen again.
This is because the default value of the logout-url attribute is changed from /j_spring_security_logout to /logout of POST method.
Open the /inc/header.jsp file and add the following between  and
<input type="button" value="<spring:message code="user.logout" />" id="logout" />
Add the following at the bottom of header.jsp.
<form id="logoutForm" action="${pageContext.request.contextPath}/logout" method="post" style="display:none"> <input type="hidden" name="${_csrf.parameterName}" value="${_csrf.token}" /> </form>
Add the following code to the JSP page that shows the screen.

Test logout again.
If the logout test succeeds, test the new write.
In the new write test, you will see a blank screen again.
When uploading attachments, you must include the CSRF token in the query string.
This is true even if you are using Springform tags.
Open the write.jsp and modify.jsp files and delete the <input type="hidden" name="${_csrf.parameterName}" value="${_csrf.token}" />.
Modify the form's action attribute as shown below.
<sf:form action="write?${_csrf.parameterName}=${_csrf.token}" method="post" ...
<sf:form action="modify?${_csrf.parameterName}=${_csrf.token}" method="post" ...References


Executive Summary
Education is about empowering children to create a better world for themselves, as well as to innovate and create a better tomorrow for all. The role of an ‘educator’ is that of a coach to encourage a child’s journey, to be a guide and mentor, and to seek knowledge and develop the requisite skills to do that. In the digital era, teachers need to model digital learning methodologies to make their lessons more engaging and interactive. Hence it is imperative for educators to have the necessary skills, knowledge and understanding of the various digital tools for collaborative authoring; discussion forums, and media sharing, etc. to create and share interactive content. Social media has emerged as a powerful tool for collaborative learning and building professional communities globally. The Program for Educators is an interactive workshop for teachers to empower them to be digital leaders. The key takeaways from the program are:
- Exposure to emerging disruptive technologies in education to improve classroom interaction
- Design and develop digital age learning experience and assessment
- Facilitate and inspire students’ learning and creativity
- Build social media communities to extend their professional journey and get recognized for your work in education
- Identity management and Cyberbullying How to stay safe online
- Model and promote good digital citizenship among students
Workshop Session Details:
Technology skills for educators
- Introduction to emerging technologies in education
- Design and create interactive content
- Power of advanced search techniques
- Collaborative learning tools
- Social Media in classroom
Protecting data, identity and privacy
- Understanding data and its implications
- Understanding the importance of passwords
- Social engineering and identity theft
- Privacy settings on social networks – Facebook, Twitter, LinkedIn, etc.
Cyberbullying and abuse
- Understanding cyberbullying symptoms
- How it works – direct attacks and via proxy
- How school and parents can help
- Parental controls