| 1 |
Lee_S_2019 |
Depression as a Mediator of Chronic Fatigue and Post-Traumatic Stress Symptoms in Middle East Respiratory Syndrome Survivors |
Lee, So Hee; Shin, Hyoung-Shik; Park, Hye Yoon; Kim, Jeong Lan; Lee, Jung Jae; Lee, Haewoo; Won, Sung-Doo; Han, Woori |
2019 |
2019-01-07 |
NONCOMM |
N |
PMC6354037 |
30605995.0 |
10.30773/pi.2<IP_ADDRESS> |
pd1sfkz9 |
0.888331 |
Hong_2009, Wu_K_2005, Wu_K_2005, Kwek_2006 |
Hong_2009, Mak_I_2010 |
| 2 |
Maunder_2010 |
The prevalence of childhood adversity among healthcare workers and its relationship to adult life events, distress and impairment |
Maunder, Robert G.; Peladeau, Nathalie; Savage, Diane; Lancee, William J. |
2010 |
2010-02-28 |
PMC |
N |
PMC7124651 |
20153051.0 |
10.1016/j.chiabu.2009.04.008 |
e9cgnhbq |
0.805090 |
Chang_2010 |
Hong_2009, Lowe_2013, Morais-de-Jesus_2014, Jalloh_2018 |
| 3 |
Lee_S_2018 |
Psychological impact of the 2015 MERS outbreak on hospital workers and quarantined hemodialysis patients |
Lee, Sang Min; Kang, Won Sub; Cho, Ah-Rang; Kim, Tae; Park, Jin Kyung |
2018 |
2018-11-30 |
PMC |
N |
PMC7094631 |
30343247.0 |
10.1016/j.comppsych.2018.10.003 |
zmfcfbo8 |
0.793603 |
Wu_K_2005, Hong_2009 |
Lu_W_2020, Yang_2020 |
| 4 |
Kim_H_2018 |
Psychiatric Findings in Suspected and Confirmed Middle East Respiratory Syndrome Patients Quarantined in Hospital: A Retrospective Chart Analysis |
Kim, Hyun-Chung; Yoo, So-Young; Lee, Bun-Hee; Lee, So Hee; Shin, Hyoung-Shik |
2018 |
2018-03-30 |
NONCOMM |
N |
PMC5912494 |
29593206.0 |
10.30773/pi.2<IP_ADDRESS> |
snch80z7 |
0.757888 |
Wu_K_2005, Wu_K_2005 |
|
| 5 |
Cho_A_2020 |
Post-traumatic stress symptoms in hemodialysis patients with MERS-CoV exposure |
Cho, A Jin; Lee, Hong-Seock; Lee, Young-Ki; Jeon, Hee Jung; Park, Hayne Cho; Jeong, Da-Wun; Kim, Yang-Gyun; Lee, Sang-Ho; Lee, Chang-Hee; Yoo, Kyung Don; Wong, Ae Kyeong |
2020 |
2020-04-15 |
COMM-USE |
N |
PMC7156895 |
|
10.1186/s13030-020-00181-z |
0a3hx9gb |
0.752131 |
Wu_K_2005, Wu_K_2005 |
|
| 6 |
Hawryluck_2004 |
SARS Control and Psychological Effects of Quarantine, Toronto, Canada |
Hawryluck, Laura; Gold, Wayne L.; Robinson, Susan; Pogorski, Stephen; Galea, Sandro; Styra, Rima |
2004 |
2004-07-23 |
PMC |
N |
PMC3323345 |
15324539.0 |
10.3201/eid1007.030703 |
vf88r8la |
0.735484 |
|
|
| 7 |
Mak_I_2009 |
Long-term psychiatric morbidities among SARS survivors |
Mak, Ivan Wing Chit; Chu, Chung Ming; Pan, Pey Chyou; Yiu, Michael Gar Chung; Chan, Veronica Lee |
2009 |
2009-08-31 |
PMC |
N |
PMC7112501 |
19555791.0 |
10.1016/j.genhosppsych.2009.03.001 |
yao1vt02 |
0.734787 |
Wu_K_2005 |
Hong_2009, Mak_I_2010 |
| 8 |
Styra_2008 |
Impact on health care workers employed in high-risk areas during the Toronto SARS outbreak |
Styra, Rima; Hawryluck, Laura; Robinson, Susan; Kasapinovic, Sonja; Fones, Calvin; Gold, Wayne L. |
2008 |
2008-02-29 |
PMC |
N |
PMC7094601 |
18222131.0 |
10.1016/j.jpsychores.2007.07.015 |
0267pz15 |
0.734236 |
|
|
| 9 |
Hong_2009 |
Posttraumatic stress disorder in convalescent severe acute respiratory syndrome patients: a 4-year follow-up study |
Hong, Xia; Currier, Glenn W.; Zhao, Xiaohui; Jiang, Yinan; Zhou, Wei; Wei, Jing |
2009 |
2009-12-31 |
PMC |
N |
PMC7112559 |
19892213.0 |
10.1016/j.genhosppsych.2009.06.008 |
38dhwggn |
0.691617 |
Wu_K_2005, Wu_K_2005 |
Mak_I_2009, Mak_I_2010 |
| 10 |
Jalloh_2018 |
Impact of Ebola experiences and risk perceptions on mental health in Sierra Leone, July 2015 |
Jalloh, Mohamed F; Li, Wenshu; Bunnell, Rebecca E; Ethier, Kathleen A; O’Leary, Ann; Hageman, Kathy M; Sengeh, Paul; Jalloh, Mohammad B; Morgan, Oliver; Hersey, Sara; Marston, Barbara J; Dafae, Foday; Redd, John T |
2018 |
2018-03-17 |
NONCOMM |
N |
PMC5873549 |
29607096.0 |
10.1136/bmjgh-2017-000471 |
40ciukd7 |
0.670061 |
|
Hong_2009, Lu_W_2020, Mak_I_2009 |
| 11 |
Mohammed_2015 |
An evaluation of psychological distress and social support of survivors and contacts of Ebola virus disease infection and their relatives in Lagos, Nigeria: a cross sectional study − 2014 |
Mohammed, Abdulaziz; Sheikh, Taiwo Lateef; Gidado, Saheed; Poggensee, Gabriele; Nguku, Patrick; Olayinka, Adebola; Ohuabunwo, Chima; Waziri, Ndadilnasiya; Shuaib, Faisal; Adeyemi, Joseph; Uzoma, Ogbonna; Ahmed, Abubakar; Doherty, Funmi; Nyanti, Sarah Beysolow; Nzuki, Charles Kyalo; Nasidi, Abdulsalami; Oyemakinde, Akin; Oguntimehin, Olukayode; Abdus-salam, Ismail Adeshina; Obiako, Reginald O. |
2015 |
2015-08-27 |
COMM-USE |
N |
PMC4550041 |
26307047.0 |
10.1186/s12889-015-2167-6 |
lrk4ty99 |
0.665935 |
Jalloh_2018 |
Jalloh_2018 |
| 12 |
Park_2018 |
Mental Health of Nurses Working at a Government-designated Hospital During a MERS-CoV Outbreak: A Cross-sectional Study |
Park, Ji-Seon; Lee, Eun-Hyun; Park, No-Rye; Choi, Young Hwa |
2018 |
2018-02-28 |
PMC |
N |
PMC7127092 |
29413067.0 |
10.1016/j.apnu.2017.09.006 |
58cu2ban |
0.650866 |
|
Lu_W_2020 |
| 13 |
Wu_K_2005 |
Posttraumatic stress, anxiety, and depression in survivors of severe acute respiratory syndrome (SARS) |
Wu, Kitty K.; Chan, Sumee K.; Ma, Tracy M. |
2005 |
2005-03-29 |
PMC |
N |
PMC7166878 |
16281194.0 |
10.1002/jts.20004 |
g7e7bpag |
0.641785 |
Wu_K_2005, Hong_2009, Mak_I_2009 |
|
| 14 |
Su_T_2007 |
Prevalence of psychiatric morbidity and psychological adaptation of the nurses in a structured SARS caring unit during outbreak: A prospective and periodic assessment study in Taiwan |
Su, Tung-Ping; Lien, Te-Cheng; Yang, Chih-Yi; Su, Yiet Ling; Wang, Jia-Horng; Tsai, Sing-Ling; Yin, Jeo-Chen |
2007 |
2007-02-28 |
PMC |
N |
PMC7094424 |
16460760.0 |
10.1016/j.jpsychires.2005.12.006 |
xd27e293 |
0.599677 |
|
|
| 15 |
Wu_K_2005 |
Posttraumatic Stress after SARS |
Wu, Kitty K.; Chan, Sumee K.; Ma, Tracy M. |
2005 |
2005-08-23 |
PMC |
N |
PMC3320475 |
16102324.0 |
10.3201/eid1108.041083 |
8gtumtxb |
0.578320 |
Wu_K_2005, Hong_2009, Kwek_2006, Sung-Man_2018 |
Hong_2009, Mak_I_2010, Mak_I_2009 |
| 16 |
Morais-de-Jesus_2014 |
Hepatitis C Virus Infection as a Traumatic Experience |
Morais-de-Jesus, Mychelle; Daltro-Oliveira, Renato; Pettersen, Karine Miranda; Dantas-Duarte, Adriana; Amaral, Luciana Di-Domizio; Cavalcanti-Ribeiro, Patrícia; Santos, Carlos Teles; Schinoni, Maria Isabel; Netto, Liana R.; Araújo-de-Freitas, Lucas; Paraná, Raymundo; Miranda-Scippa, Ângela; Koenen, Karestan C.; Quarantini, Lucas C. |
2014 |
2014-10-23 |
COMM-USE |
N |
PMC4207714 |
25340574.0 |
10.1371/journal.pone.0110529 |
p8yu17dy |
0.577653 |
Hong_2009 |
Hong_2009, Mak_I_2009, Lu_W_2020 |
| 17 |
Abu-El-Noor_2018 |
Post-traumatic Stress Disorder Among Health Care Providers Two Years Following the Israeli Attacks Against Gaza Strip in August 2014: Another Call for Policy Intervention |
Abu-El-Noor, Nasser Ibrahim; Aljeesh, Yousef Ibrahim; Radwan, Abdal-Karim Said; Abu-El-Noor, Mysoon Khalil; Qddura, Ibrahim Abdel-Ilhady; Khadoura, Khalid Jamal; Alnawajha, Samer Khader |
2018 |
2018-04-30 |
PMC |
N |
PMC7134942 |
29579511.0 |
10.1016/j.apnu.2017.10.014 |
p2dbhw79 |
0.560241 |
|
Abu-El-Noor_2016, Hong_2009, Dai_W_2016 |
| 18 |
Jeong_2016 |
Mental health status of people isolated due to Middle East Respiratory Syndrome |
Jeong, Hyunsuk; Yim, Hyeon Woo; Song, Yeong-Jun; Ki, Moran; Min, Jung-Ah; Cho, Juhee; Chae, Jeong-Ho |
2016 |
2016-11-05 |
None |
N |
PMC5177805 |
28196409.0 |
10.4178/epih.e2016048 |
8lh0373f |
0.543818 |
Wu_K_2005, Wu_K_2005, Jalloh_2018, Chew_2020 |
|
| 19 |
Mak_I_2010 |
Risk factors for chronic post-traumatic stress disorder (PTSD) in SARS survivors |
Mak, Ivan Wing Chit; Chu, Chung Ming; Pan, Pey Chyou; Yiu, Michael Gar Chung; Ho, Suzanne C.; Chan, Veronica Lee |
2010 |
2010-12-31 |
PMC |
N |
PMC7132390 |
21112450.0 |
10.1016/j.genhosppsych.2010.07.007 |
e6i6buow |
0.510393 |
Wu_K_2005 |
Hong_2009, Mak_I_2009, Dai_W_2016, Dai_W_2016 |
| 20 |
Chew_2020 |
A Multinational, Multicentre Study on the Psychological Outcomes and Associated Physical Symptoms Amongst Healthcare Workers During COVID-19 Outbreak |
Chew, Nicholas W.S.; Lee, Grace K.H.; Tan, Benjamin Y.Q.; Jing, Mingxue; Goh, Yihui; Ngiam, Nicholas J.H.; Yeo, Leonard L.L.; Ahmad, Aftab; Ahmed Khan, Faheem; Napolean Shanmugam, Ganesh; Sharma, Arvind K.; Komalkumar, R.N.; Meenakshi, P.V.; Shah, Kenam; Patel, Bhargesh; Chan, Bernard P.L.; Sunny, Sibi; Chandra, Bharatendu; Ong, Jonathan J.Y.; Paliwal, Prakash R.; Wong, Lily Y.H.; Sagayanathan, Renarebecca; Chen, Jin Tao; Ying Ng, Alison Ying; Teoh, Hock Luen; Tsivgoulis, Georgios; Ho, Cyrus S.; Ho, Roger C.; Sharma, Vijay K. |
2020 |
2020-04-21 |
PMC |
Y |
|
|
10.1016/j.bbi.2020.04.049 |
duukt2wh |
0.507613 |
Wu_K_2005, Wu_K_2005, Jalloh_2018 |
|
| 21 |
Chen_2011 |
Validation of the Impact of Event Scale-Revised for adolescents experiencing the floods and mudslides |
Chen, Cheng-Sheng; Cheng, Chung-Ping; Yen, Cheng-Fang; Tang, Tze-Chun; Yang, Pinchen; Yang, Rei-Cheng; Huang, Ming-Shyan; Jong, Yuh-Jyh; Yu, Hsin-Su |
2011 |
2011-12-31 |
PMC |
N |
PMC7118467 |
22208539.0 |
10.1016/j.kjms.2011.06.033 |
nk3sagba |
0.485282 |
Hong_2009, Wu_K_2005 |
Lowe_2013, Abu-El-Noor_2016, Hong_2009, Jahanshahi_2020 |
| 22 |
Lin_C_2007 |
The psychological effect of severe acute respiratory syndrome on emergency department staff |
Lin, C‐Y; Peng, Y‐C; Wu, Y‐H; Chang, J; Chan, C‐H; Yang, D‐Y |
2007 |
2007-01-01 |
PMC |
N |
PMC2658141 |
17183035.0 |
10.1136/emj.2006.035089 |
v3zsr1n1 |
0.454228 |
|
Hong_2009, Mak_I_2009 |
| 23 |
Ho_R_2014 |
Impact of 2013 south Asian haze crisis: study of physical and psychological symptoms and perceived dangerousness of pollution level |
Ho, Roger C; Zhang, Melvyn W; Ho, Cyrus S; Pan, Fang; Lu, Yanxia; Sharma, Vijay K |
2014 |
2014-03-19 |
COMM-USE |
N |
PMC3995317 |
24642046.0 |
10.1186/1471-244x-14-81 |
g2hdsr4v |
0.453320 |
Wu_K_2005, Hong_2009, Wu_K_2005, sun_n_2020 |
Jalloh_2018 |
| 24 |
Maunder_2006 |
Long-term Psychological and Occupational Effects of Providing Hospital Healthcare during SARS Outbreak |
Maunder, Robert G.; Lancee, William J.; Balderson, Kenneth E.; Bennett, Jocelyn P.; Borgundvaag, Bjug; Evans, Susan; Fernandes, Christopher M.B.; Goldbloom, David S.; Gupta, Mona; Hunter, Jonathan J.; Hall, Linda McGillis; Nagle, Lynn M.; Pain, Clare; Peczeniuk, Sonia S.; Raymond, Glenna; Read, Nancy; Rourke, Sean B.; Steinberg, Rosalie J.; Stewart, Thomas E.; Coke, Susan VanDeVelde; Veldhorst, Georgina G.; Wasylenki, Donald A. |
2006 |
2006-12-23 |
PMC |
N |
PMC3291360 |
17326946.0 |
10.3201/eid1212.060584 |
osf0tkzr |
0.450313 |
|
Mak_I_2009 |
| 25 |
Kwek_2006 |
Quality of life and psychological status in survivors of severe acute respiratory syndrome at 3 months postdischarge |
Kwek, Seow-Khee; Chew, Wuen-Ming; Ong, Kian-Chung; Ng, Alan Wei-Keong; Lee, Lawrence Soon-U; Kaw, Gregory; Leow, Melvin Khee-Shing |
2006 |
2006-05-31 |
PMC |
N |
PMC7094294 |
16650592.0 |
10.1016/j.jpsychores.2005.08.020 |
6b1y7yxg |
0.446518 |
Wu_K_2005, Wu_K_2005, Hong_2009, Chang_2010 |
Hong_2009, Mak_I_2009, Mak_I_2010 |
| 26 |
Dai_W_2016 |
Association between social support and recovery from post-traumatic stress disorder after flood: a 13–14 year follow-up study in Hunan, China |
Dai, Wenjie; Chen, Long; Tan, Hongzhuan; Wang, Jieru; Lai, Zhiwei; Kaminga, Atipatsa C.; Li, Yan; Liu, Aizhong |
2016 |
2016-02-29 |
COMM-USE |
N |
PMC4770534 |
26924178.0 |
10.1186/s12889-016-2871-x |
8y1a3tu0 |
0.398656 |
Wu_K_2005, Wu_K_2005, Maunder_2010 |
Dai_W_2016, Hong_2009, Mak_I_2010, Abu-El-Noor_2016 |
| 27 |
Liu_X_2012 |
Depression after exposure to stressful events: lessons learned from the severe acute respiratory syndrome epidemic |
Liu, Xinhua; Kakade, Meghana; Fuller, Cordelia J.; Fan, Bin; Fang, Yunyun; Kong, Junhui; Guan, Zhiqiang; Wu, Ping |
2012 |
2012-01-31 |
None |
N |
PMC3176950 |
21489421.0 |
10.1016/j.comppsych.2011.02.003 |
2i0h4qbf |
0.373207 |
|
Hong_2009 |
| 28 |
Zhou_2016 |
Latent growth curves and predictors of depressive symptoms among Chinese adolescent earthquake survivors |
Zhou, Ya; Han, Qingguo; Fan, Fang |
2016 |
2016-10-31 |
PMC |
N |
PMC7114640 |
|
10.1016/j.paid.2016.02.009 |
gvdrffyy |
0.356571 |
Hong_2009, Wu_K_2005, Wu_K_2005 |
Hong_2009, Lowe_2013, Mak_I_2009 |
| 29 |
Moldofsky_2011 |
Chronic widespread musculoskeletal pain, fatigue, depression and disordered sleep in chronic post-SARS syndrome; a case-controlled study |
Moldofsky, Harvey; Patcai, John |
2011 |
2011-03-24 |
COMM-USE |
N |
PMC3071317 |
21435231.0 |
10.1186/1471-2377-11-37 |
zmxmo1q8 |
0.353962 |
Wu_K_2005, Wu_K_2005, Lasselin_2019 |
Moldofsky_2014, Hong_2009 |
| 30 |
Dai_W_2016 |
Predictors of recovery from post-traumatic stress disorder after the dongting lake flood in China: a 13–14 year follow-up study |
Dai, Wenjie; Wang, Jieru; Kaminga, Atipatsa C.; Chen, Long; Tan, Hongzhuan; Lai, Zhiwei; Deng, Jing; Liu, Aizhong |
2016 |
2016-11-08 |
COMM-USE |
N |
PMC5101704 |
27825328.0 |
10.1186/s12888-016-1097-x |
6mqkqcpc |
0.327704 |
Wu_K_2005, Wu_K_2005, Maunder_2010 |
Dai_W_2016, Hong_2009, Mak_I_2010, Angela_Lo_2012 |
| 31 |
Dong_2020 |
Prevalence and Factors Associated with Depression and Anxiety of Hospitalized Patients with COVID-19 |
Yuchao Dong; Tong Su; Piqi Jiao; Xiangyu Kong; Kailian Zheng; Min Tang; Fanyang Kong; Jiahuan Zhou; Le Diao; Shouxin Wu |
2020 |
2020-03-30 |
BioRxiv |
Y |
|
|
10.1101/2<IP_ADDRESS>43075 |
c1o0i3et |
0.323780 |
Wu_K_2005, Wu_K_2005, Hong_2009, Sung-Man_2018, Chang_2010 |
Yang_2020 |
| 32 |
McGuire_2018 |
Social Support Moderates Effects of Natural Disaster Exposure on Depression and Posttraumatic Stress Disorder Symptoms: Effects for Displaced and Nondisplaced Residents |
McGuire, Adam P.; Gauthier, Jami M.; Anderson, Lisa M.; Hollingsworth, David W.; Tracy, Melissa; Galea, Sandro; Coffey, Scott F. |
2018 |
2018-04-05 |
PMC |
N |
PMC6020825 |
29623684.0 |
10.1002/jts.22270 |
4mea2yo8 |
0.302266 |
Sung-Man_2018 |
|


WVM example: Polygon Vertices to Define Plant Footprint
This example uses May 18th, 2014 irradiance data collected at Sandia National Laboratories in Livermore, CA to demonstrate use of the wavelet variability model (WVM).
Contents
load data
This file contains two vectors: "GHI" which is the GHI measurements, and "dt" which is the timestamps.
Livermore=load('./example_data/Livermore_Sample_GHI'); Livermore_polygon=load('./example_data/Livermore_Sample_Polygon_Vertices'); % Also load the polygon vertices.
define variables
First, define the irradiance sensor variables.
irr_sensor.irr=Livermore.GHI; %measured irradiance irr_sensor.time=Livermore.dt; %timestamps irr_sensor.Lat=37.676208; %sensor latitude irr_sensor.Lon=-121.703118; %sensor longitude irr_sensor.alt=200; %sensor altitude (in meters) irr_sensor.tilt=0; %tilt = 0 for GHI sensor irr_sensor.azimuth=180; % 180 = due south irr_sensor.UTCoffset=-8; %sensor UTC offset
Then define the PV plant details.
plantinfo.tilt=10; %assume modules tilted 37 degrees (approximately latitude tilt) plantinfo.azimuth=210; %assume modules facing south plantinfo.type='polygon'; %assume a square-shaped PV plant plantinfo.MW=30; %assume a 30MW plant %NOTE: we do not need to define plantinfo.PVdensity since the plant area is %known through the polygon vertices. The calculated PV density will be %returned to the MatLab command line: make sure it is a reasonable value! plantinfo.Lat=Livermore_polygon.polygonlats; plantinfo.Lon=Livermore_polygon.polygonlons;
Finally, define the cloud speed.
cloud_speed=10; %assume cloud speed of 10 m/s
run WVM
[smooth_irradiance,other_outputs]=pvl_WVM(irr_sensor,plantinfo,cloud_speed);
The PV density based on the polygon inputs was 95W/m2
plot the WVM results
Zoomed out plot comparing the measured GHI to the WVM output of smoothed POA irradiance.
plot(irr_sensor.time,irr_sensor.irr,'b',irr_sensor.time,smooth_irradiance,'r'); legend('measured GHI','WVM smoothed POA'); set(gca,'xtick',floor(nanmean(irr_sensor.time)):1/24:ceil(nanmean(irr_sensor.time))); datetick('x','HH','keepticks','keeplimits'); xlabel('time of day [HH]'); ylabel('Irradiance [W m^{-2}]'); axis tight title(datestr(nanmean(irr_sensor.time),'mmm-dd-yyyy'))
Zoomed in plot comparing the measured GHI to the WVM output of smoothed POA irradiance.
plot(irr_sensor.time,irr_sensor.irr,'b',irr_sensor.time,smooth_irradiance,'r'); legend('measured GHI','WVM smoothed POA'); set(gca,'xtick',floor(nanmean(irr_sensor.time)):1/(24*12):ceil(nanmean(irr_sensor.time))); datetick('x','HH:MM','keepticks','keeplimits'); xlabel('time of day [HH:MM]'); ylabel('Irradiance [W m^{-2}]'); xlim([floor(nanmean(irr_sensor.time))+10.75/24 floor(nanmean(irr_sensor.time))+11.25/24]) title(datestr(nanmean(irr_sensor.time),'mmm-dd-yyyy'))


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--- layout: post title: Decision date: 2010-04-01 23:09:51.000000000 -05:00 type: post parent_id: '0' published: true password: '' status: publish categories: - Apr. 1st - English tags: [] meta: _edit_last: '1412221' author: login: dreamessenceonthemove email<EMAIL_ADDRESS>display_name: darribas first_name: Daniel last_name: Arribas-Bel permalink: "/2010/04/01/decision/" ---
So, after a lot of thinking, it's decided: as from today on, I stop travelling. No more planes, no more buses, no more sleeping on somebody else's couch, no more passport checks, no more meeting new wonderful people from all over the world, no more discovering new places, no more changing country every other month, no more new delicious food you can always taste in certain places of the world. I am fed up, I stop. That was it.
]d[
Apr. 1st. 2010


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A Pareto Chart is a chart type based on the Pareto principle, commonly used to maximize business efficiency. Highcharts can calculate the Pareto line automatically based on a series, as shown in this chart.


DevOps User Guide
Create a Pipeline - using Graphical Editing Panel
We are going to show how to create a CI/CD pipeline without Jenkinsfile by visually editing the workflow through KubeSphere console.
Objective
We will use the graphical editing panel in KubeSphere console to create a pipeline, which automates the processes and release the sample project to Kubernetes development environment. If you have tried the Jenkinsfile-based pipeline, the build steps for this tutorial are easy to understand. The sample project in this tutorial is same to this demo.
Prerequisites
- You need to enable KubeSphere DevOps System.
- You need to create DockerHub account.
- You need to create a workspace, a DevOps project, and a project-regular user account, and this account needs to be invited into the DevOps project as the role of maintainer.
- Configure email server for notification in pipeline, please refer to Set Email Server for KubeSphere Pipeline.
- Set CI dedicated node for building pipeline, please refer to Set CI Node for Dependency Cache.
- You need to install and configure sonarqube, please refer to How to integrate SonarQube in Pipeline . Or you can skip this part, There is no Code Analysis below.
Pipeline Overview
The sample pipeline includes the following six stages.
To elaborate every stage：
- Stage 1. Checkout SCM: Pull the GitHub repository code；
- Stage 2. Unit test: The pipeline will continue running the next stage only if the unit test is passed；
- Stage 3. Code Analysis: Configure SonarQube for static code quality check and analysis；
- Stage 4. Build and Push: Build the image and push the it to DockerHub with tag
snapshot-$BUILD_NUMBER
where$BUILD_NUMBER
is the serial number of the pipeline active list；- Stage 5. Artifacts: Generate the artifact (jar package) and save it；
- Stage 6. Deploy to DEV: Deploy the project to the development environment. It requires an approval in this stage. An email will be sent after the deployment is successful.
Hands-on Lab
Step 1: Create Credentials
We need to create three credentials for DockerHub, Kubernetes and SonarQube respectively. If you have finished the last lab Create a Jenkinsfile-based Pipeline for Spring Boot Project, you already have the credentials created. Otherwise, please refer to create credentials to create them that are used in the pipeline.
Step 2: Create Project
The sample pipeline will deploy the sample to Kubernetes namespace, thus we need to create a project in KubeSphere. If you do not finish the last lab, please refer to the step to create a project named kubesphere-sample-dev
by using project-admin
, then invite the account project-regular
into this project and assign the role of operator
to this account.
Step 3: Create Pipeline
Follow the steps below to create a pipeline using graphical editing panel.
Fill in the basic information
3.1. In the DevOps project, select the Pipeline on the left and click Create.
3.2. In the pop-up window, name it graphical-pipeline
, click Next.
Advanced Settings
3.3. Keep clicking Add Parameter to add three string parameters as follows. These parameters will be used in the Docker command of the pipeline. Click Create when you are done.
| Parameter Type | Name | Default Value | Description |
|---|---|---|---|
| String | REGISTRY | The sample repository address is docker.io . |
Image Registry |
| String | DOCKERHUB_NAMESPACE | Fill in your DockerHub account which can also be the Organization name under the account. | DockerHub Namespace |
| String | APP_NAME | Fill the application name with devops-sample . |
Application Name |
Step 4: Editing pipeline
This pipeline consists of six stages. We will demonstrate the steps and tasks in each stage.
Stage I: Pull Source Code (Checkout SCM)
The graphical editing panel includes two areas, i.e., canvas on the left and content on the right. It will generate Jenkinsfile after creating a pipeline in the panel, which is much more user-friendly for developers.
Note: Pipeline includes
scripted pipeline
anddeclarative pipeline
, and the panel supportsdeclarative pipeline
. For pipeline syntax, see Jenkins Documentation.
4.1.1. As follows, select node from the drop-down list of agent type in the content area, input maven
in the label.
Note: The agent is used to define execution environment. The agent directive tells Jenkins where and how to execute the pipeline or a specific stage. Please refer to Jenkins Agent for further information.
4.1.2. In the canvas area, click the + button to add a stage. Click the box with title No Name
that encloses the box Add Step, name it Checkout SCM
in the content area on the right of the panel.
4.1.3. Click Add Step. Select git from the content area. For now, fill in the pop-up window as follows:
- Url: Input GitHub repository URL
https://github.com/kubesphere/devops-java-sample.git
. Please replace the url with your own repository. - Branch: Input
sonarqube
. If you want’t to use Code Analysis, you can inputmaster
or ignore it. - Credential ID: Leave it blank as it is for using a private repository.
When you are done, click OK to save it and you will see the first stage created.
Stage II: Unit Test
4.2.1. Click + on the right of the stage Checkout SCM to add another stage for performing a unit test in the container, name it Unit Test
.
4.2.2. Click Add Step and select container, name it maven
, then click OK.
4.2.3. In the content area, click Add nesting steps in the maven
container created above to add a nested step. Then select shell and enter the following command in the pop-up window:
mvn clean -o -gs `pwd`/configuration/settings.xml test
Click OK to save it.
Stage III: Code Analysis
4.3.1. Same as above, click + on the right of the stage Unit Test to continue adding a stage for configuring SonarQube, which is used to perform static code quality analysis in the container, name it Code Analysis
.
4.3.2. Click Add Step in Code Analysis, and select container，name it maven
，then click OK.
4.3.3. Click Add nesting steps in the maven
container created above to add a nested step and select withCredentials, Select the previously created credential ID sonar-token
and input SONAR_TOKEN
in the text variable, then click OK.
4.3.4. In the task withCredential on the right, click Add nesting steps (the first one)，then select withSonarQubeEnv, leave the default name sonar
, click OK to save it.
4.3.5. Click Add nesting steps (the first one) in the withSonarQubeEnv. Then select shell on the right, enter the following commands in the pop-up window for SonarQube branch and authentication, and click OK to save the information.
mvn sonar:sonar -o -gs `pwd`/configuration/settings.xml -Dsonar.branch=$BRANCH_NAME -Dsonar.login=$SONAR_TOKEN
4.3.6. Click on the Add nesting steps (the third one) on the right, select timeout. Input 1
to time, and select Hours
in unit.
Click OK to save it.
4.3.7. In the timeout
, click Add nesting steps (the first one). Then select waitforSonarQubeGate and keep the default Start the follow-up task after inspection
in the popup window.
Click OK to save it.
Stage IV: Build and Push the Image
4.4.1. Similarly, click + on the right of the stage of Code Analysis to add another stage to build and push images to DockerHub, name it Build and Push
.
4.4.2. Click Add Step and select container，name it maven
，then click OK.
4.16. Click Add nesting steps in the contain maven
, and select shell on the right, enter the following command in the pop-up window:
mvn -o -Dmaven.test.skip=true -gs `pwd`/configuration/settings.xml clean package
4.4.3. Then continue to click Add nesting steps on the right, select shell in the pop-up window, enter the following command to build a Docker image based on the Dockerfile:
Please DO NOT miss the dot
.
at the end of the command.
docker build -f Dockerfile-online -t $REGISTRY/$DOCKERHUB_NAMESPACE/$APP_NAME:SNAPSHOT-$BUILD_NUMBER .
Click OK to save it.
4.4.4. Similarly, click Add nesting steps again and select withCredentials on the right. Fill in the pop-up window as follows:
Note: Considering the security, the account information are not allowed to be exposed in plaintext in the script.
- Credential ID：Select the DockerHub credentials you created, e.g.
dockerhub-id
- Password variable：Enter
DOCKER_PASSWORD
- Username variable：Enter
DOCKER_USERNAME
Click OK to save the it.
4.4.5. Click Add nesting steps (the first one) in the withCredentials step created above, select shell and enter the following command in the pop-up window, which is used to log in Docker Hub:
echo "$DOCKER_PASSWORD" | docker login $REGISTRY -u "$DOCKER_USERNAME" --password-stdin
Click OK to save the it.
4.4.6. As above, click Add nesting steps in the withCredentials step again, choose shell and enter the following command to push the SNAPSHOT image to DockerHub:
docker push $REGISTRY/$DOCKERHUB_NAMESPACE/$APP_NAME:SNAPSHOT-$BUILD_NUMBER
Stage V: Generate Artifact
4.5.1. Click + on the right of the Build and Push stage, here we add another stage to save artifacts. This example uses the jar package and name it Artifacts
.
4.5.2. Click Add Step in Artifacts stage, select archiveArtifacts. Enter target/*.jar
in the pop-up window, which is used to set the archive path of artifact in Jenkins.
Click OK to save the it.
Stage VI: Deploy to Dev
4.6.1. Click + on the right of the stage Artifacts to add the last stage, name it Deploy to Dev
. This stage is used to deploy resources to development environment, namely, the project of kubesphere-sample-dev
.
4.6.2. Click Add Step in Deploy to Dev, select input and enter @project-admin
in the pop-up window, assigning account project-admin
to review this pipeline.
Click OK to save the it.
4.6.3. Click Add Step on the right，select kubernetesDeploy. Fill in the pop-up window as below and click Confirm to save the information:
- Kubeconfig: select
demo-kubeconfig
- Configuration file path: Enter
deploy/no-branch-dev/**
which is the related path of the Kubernetes yaml.
Click OK to save the it.
4.6.4. Similarly, click Add Step to send an email notification to the user after the pipeline runs successfully, select mail and fill in the information.
Note: Make sure you have configured email server in
ks-jenkins
. Please refer to Jenkins email configuration. If not yet, skip this step and you still can run this pipeline.
At this point, the total six stages of the pipeline have been edited completely, click Confirm → Save, it will generate Jenkinsfile as well.
Step 5: Run Pipeline
5.1. The pipeline created by the graphical editing panel needs to be manually run. Click Run, you can see the three string parameters defined in the third step. Click OK to start this pipeline.
5.2. You can see the status of the pipeline in the Activity list. Click Activity to view the detailed running status.
5.3. Enter the first activity to view detailed page.
Note: If the previous steps are running correctly, you can see that the pipeline has successfully run to the last stage in a few minutes. Since we set the review step and specify the account
project-admin
as the reviewer. Therefore, we need to switch to useproject-admin
to manually review and approve it.
5.4. Log out, and log in with account project-admin
. Enter into the pipeline graphical-pipeline
of the DevOps project that we used above. Drill into Activity to view the running status. You can see the pipeline has run to the Deploy to DEV stage. Click Proceed to approve it.
Step 6: View Pipeline
6.1. Log back the account project-regular
. After a few minutes, the pipeline runs successfully. Click Activity list in the pipeline to view the current running pipeline serial number. This page shows the running status of each stage in the pipeline.
6.2. Click Show Logs on the top right of the current page to inspect the logs. The pop-up window shows the specific logs, running status and time of each stage. Click on a specific stage and expand its specific log on the right. You can debug any problems based on the logs which also can be downloaded to your local file for further analysis.
Step 7: Check Code Quality
Back to the Activity page, click Code quality to check the analysis of the code quality for the demo project, which is provided by the SonarQube. The sample code is simple and does not show bugs or vulnerabilities. Click on the SonarQube icon on the right to access SonarQube. Please refer to Access SonarQube to log in.
View the Quality Report at SonarQube
Step 8: Download Artifacts
Enter the first activity and select Artifacts. You can find the artifact of jar package generated by the pipeline, and you can download it by clicking the icon.
Step 9: Verify the Kubernetes Resource
If every stage of the pipeline runs successfully, the Docker image will be automatically built and pushed to your DockerHub account. Finally, the project is deployed to the Kubernetes with a deployment and a service automatically.
9.1. Enter the project kubesphere-sample-dev
, click Application Workloads → Workloads to see that ks-sample-dev
has been created successfully.
| Environment | Address | Namespace | Deployment | Service |
|---|---|---|---|---|
| Dev | http://{$Virtual IP}:{$8080} or http://{$Intranet/Public IP}:{$30861} |
kubesphere-sample-dev | ks-sample-dev | ks-sample-dev |
View Deployment
9.2. Navigate to Service list, you can find the corresponding service has been created. The NodePort exposed by the service is30861
in this example.
View Service
9.3. Now verify the images pushed to DockerHub. You can see that devops-sample
is the value of APP_NAME, while the tag is the value of SNAPSHOT-$BUILD_NUMBER
, and $BUILD_NUMBER
is the serial number of the activity within pipeline. This tag has also been used in deployment ks-sample-dev
.
9.4. Since we set an email notification in the pipeline, thus we can verify the email in the mailbox.
Step 10: Access the Sample Service
We can access the sample service using command or access in browser. For example, you can use the web kubectl by using account admin
as follows:
# curl {$Virtual IP}:{$Port} or curl {$Node IP}:{$NodePort}
curl <IP_ADDRESS>:8080
Really appreciate your star, that's the power of our life.
Congratulation! You have been familiar with using graphical editing panel to visualize your CI/CD workflow.


You've Got Mail
Directed by Nora Ephron (Sleepless in Seattle)
Written by Nora Ephron and Delia Ephron (Mixed Nuts)
Starring Tom Hanks (Saving Private Ryan), Meg Ryan (When Harry Met Sally), Parker Posey (Coneheads), Greg Kinnear (As Good as it Gets)
As Reviewed by James Brundage
Some people feel the need to do something more than once (i.e. Gus Van Sant with Psycho). Some people feel the need to re-unite actors (i.e. Edward Burns). Some people feel the need to re-hash a plot (take your pick of any number of movies). But only a select few can pull it off. Nora Ephron, Tom Hanks, and Meg Ryan have graduated into that select cadre with You've Got Mail. The plot is a carbon-copy of Sleepless in Seattle, their earlier collaboration: a man and a woman are completely in love with one another without ever having direct contact in a romantic sense. In Sleepless in Seattle, it was a radio broadcast late at night that turned Meg Ryan on to Tom Hanks. In You've Got Mail, we have fully entered the electronic world and this time the two meet in an AOL over 30 chatroom. The two of them begin corresponding via the electronic medium while hashing it out in real life. Tom Hanks is Joe Fox, book mogul and owner of the new Fox Books superstore in the Upper West Side. Meg Ryan is Kathleen Kelly, your average Upper West Side indepdent bookstore owner challenging the conglomerates springing up around her. If you've seen Sleepless in Seattle, you already know where this will end up. In fact, it ends up just about where every other one of these romantic comedies ends up: the boy gets the girl. Along the way there's the radical difference (and the differences, I remind you, are all that matter nowadays), that the two people in love are fully using the electronic medium: not to mention committing Internet infidelity at the same time (Tom Hanks cheating on Parker Posey, Meg Ryan cheating on Greg Kinnear). If that wasn't enough to make it different, this one adds in the nice aspect of character development. All of us who care -- smart people, movie critics, patrons of romances rather than action films -- will be much more pleased that we finally see a movie where the characters are cared about and not you equation romances. We can actually fall in love along with them. In this aspect, because of the fact that the two main characters are seen both inside and outside of the context of their romance, it actually far surpasses Sleepless in Seattle, which, to be honest, was somewhat lacking.  You may just be surprised what it says.
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


Amrita Resource App, May 2019
-
Evernote Android-Job
-
Material Design Icons by Google
-
Timber
-
ODK Share
-
Classes at amrita
-
Firebase-Firestore
-
Firebase-storage
-
Firebase-UI
-
Glide
-
Dexter
This is an android app which gives some PDFs for engineering students of amrita of all semesters of particular subject
they can get softcopies of the class notes so that they can easily study and understand.
It will also be helpful before going to class we can learn the topics which will be taught in class by our teachers so that can grasp easily during lecture
any quires about app
mail me<EMAIL_ADDRESS>phn num: +91<PHONE_NUMBER>
Thanks a lot for @amFoss


Related information:
Account: {{contact.account_contacts.first}}
Parent Account: {{contact.account_contacts.first.parent_company}}
Assigned to: {{contact.account_contacts.first.assigned_to.get_full_name}}
{% load humanize %}


SIY Chapter 3
Unfortunately, I have been watching the SIY videos instead of reading up until this chapter and therefore, I just haven't had time or anyone to do the mindfulness conversation with. However, of the three mindfulness techinques I think the most realistic one of me being able to do is taking one mindful breath a day. So long as I can remember to do this then i think it will be beneficial and will eventually lead onto a more developed practise hoplfully. So far I can't say I have been very successful with meditation. Each week when I get to the SIY content, I either watch or read the chapter and think how great it is as a concept. But unfortunately, I've not been very effective in putting it into practice yet.


?6
7
8
9
10
The
New
York
copyright
reserved
Botanical
Garden
Proserpinaca
palustris
L.
(the
variety
cannot
be
determined)
Det.:
P.M.
Catling,
DAO
May
2002
IDENTIFIED
AT
THE
HERBARIUM
OF
THE
UNIVERSITY
OF
WISCONSIN
PLANTS
OF
CUBA
EW
YORK
BOTANICAL
GARDEN
0
5004
I
O
I
“
COLLECTED
BY
N.
C.
FASSETT,
1953
01500417
Legend -
Level of confidence that token is an accurately-transcribed word
extremely low
very low
low
undetermined
medium
high
very high


Thanks for idea, but as i often enough said: Any auto-updating feature will never be integrated. I explained it multiple times.
http://getbblog.com/en/tracker?request=9327#request-9327
http://getbblog.com/en/tracker?request=7526#request-7526
http://getbblog.com/en/tracker?request=123587#request-123587
http://getbblog.com/en/tracker?request=24075#request-24075
Greetz


new require("ScorecardView")(opts)
ScorecardView is a view that uses streamhub data to populate it's child elements.
It reads the bodyHtml of each item and trys to match the format
"score
Parameters:
| Name | Type | Description | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
opts |
Object.<string, *> | A set of options to configure this instance. Properties
|
- Source:
- main.js, line 24
- Source:
- main.js, line 1
Methods
-
<protected> _insertItem(item, col) → {Object}
-
Updates the scoreboard based on the bodyHtml of this content item, if its newer than the latest.
Parameters:
Name Type Description item
Object A piece of content that was streamed to this view from Streamhub.
col
Backbone.Collection A reference to the collection that this item was added to.
- Source:
- main.js, line 58
Returns:
The $html element that was inserted.
- Type
- Object
-
<protected, inner> initialize(opts)
-
Initializes a ScorecardView, and is called by backbone during view construction. Binds to the collection's add event.
Parameters:
Name Type Description opts
Object.<string, *> A set of options to configure this instance.
- Source:
- main.js, line 32


That will be the aside navigation with :
Don't know if it should be here / need an entire file for it / shouldn't be in the navbar ?


My browser extensions do not collect any personal user data.
If you have any questions, please feel free to contact me.


TBD
TBD
In RxGroovy, this filtering operator is implemented as last
and lastOrDefault
.
Somewhat confusingly, there are also BlockingObservable
operators called last
and lastOrDefault
that block and then return items, rather than immediately returning
Observables.
last
and lastOrDefault
do not by default operate on any particular
Scheduler.
BlockingObservable
Methods
The BlockingObservable
methods do not transform an Observable into another, filtered
Observable, but rather they break out of the Observable cascade, blocking until the Observable emits
the desired item, and then return that item itself.
To turn an Observable into a BlockingObservable
so that you can use these methods, you can
use either the Observable.toBlocking
or BlockingObservable.from
methods.
Observable.toBlocking()
BlockingObservable.from(Observable)
In RxJava, this filtering operator is implemented as last
and lastOrDefault
.
Somewhat confusingly, there are also BlockingObservable
operators called last
and lastOrDefault
that block and then return items, rather than immediately returning
Observables.
last
and lastOrDefault
do not by default operate on any particular
Scheduler.
BlockingObservable
Methods
The BlockingObservable
methods do not transform an Observable into another, filtered
Observable, but rather they break out of the Observable cascade, blocking until the Observable emits
the desired item, and then return that item itself.
To turn an Observable into a BlockingObservable
so that you can use these methods, you can
use either the Observable.toBlocking
or BlockingObservable.from
methods.
Observable.toBlocking()
BlockingObservable.from(Observable)
last
is found in each of the following distributions:
rx.all.js
rx.all.compat.js
rx.aggregates.js
It requires one of the following distributions:
rx.js
rx.compat.js
rx.lite.js
rx.lite.compat.js


|
Largest Contentful Paint
Older metrics like load or DOMContentLoaded are not good because they don't necessarily correspond to what the user sees on their screen. web.dev Philip Walton
|
|
Chrome 77 Beta: New performance metrics, new form capabilities
It has not always been easy for developers to measure how quickly the main content of a web page loads and is visible to users. blog.chromium.org Chrome Team
|
|
Time to First Byte: What It Is and Why It Matters
While a good TTFB doesn’t necessarily mean you will have a fast website, a bad TTFB almost certainly guarantees a slow one. csswizardry.com Harry Roberts
|
|
More capable form controls
Many developers build custom form controls, either to provide controls that aren't built in to the browser, or to customize the look and feel beyond what's possible with the native form controls. web.dev Arthur Evans
|
|
Keyboard Accessible Perf timelines now available in Chromium
Our team is hard at work adding accessibility support to Chromium DevTools. Take a look at the keyboard-accessible Perf timelines now available in Chromium Beta/Canary/Dev *and* Edge Canary/Dev! twitter.com Microsoft Edge DevTools
|


Taskbar cannot be resized freely. It has to go by a full row in case of
horizontal taskbar, and by full column in case of vertical taskbar.
Vertical taskbar is resizable and has all the options set to default,
where horizontal taskbar has custom options set.


Blockcore is a group of independent individuals without any official organization behind it. All work is done on voluntary basis.
If you enjoy our software and services, please feel free to help continue the development and improvement of the Blockcore Platform by becoming an sponsor.
Funds provided to the Blockcore team will be utilized for server infrastructure, hosting services and other expenses related to the continued development and hosting of the Blockcore Platform.
https://opencollective.com/blockcore
https://gitcoin.co/grants/1172/the-blockcore-fund
If you'd like to become an official sponsor, please contact us by e-mail at<EMAIL_ADDRESS>You also have the option of providing support to the individuals working on Blockcore. Not everyone in the group have a sponsor service available, but those who do is listed below:


Thanks for using etreedb.org. Here you'll find the tools to manage your account as well as links to the data you've provided.


Points to demo instance: https://real-time-contact.firebaseio-demo.com/requests
Best when used in conjunction with things like StickmanVentures/inquiry-bot, a slackbot using webhooks to report form submissions.


The DigitalEdge Schema Wizard is one of the tools in the DigitalEdge 3.0 Suite. It is used by a data engineer to create or modify schemas. A DigitalEdge schema is intended to be a unified schema for an enterprise system. Such a schema is produced by analyzing data in one or more data samples. Schemas are used by other tools in the suite to include the DigitalEdge Ingest Pipeline and the VizWiz tool.
Schema Wizard creates a schema by a discovery process while analyzing sample data. The data may be structured or unstructured and its content may come in various forms such as: comma separated values, JSON, XML, plain text, and documents. Additionally, multiple instances of the data may come in compressed file formats. The data engineer can collect the samples as files prior to using Schema Wizard.
Copyright © 2016 Leidos, Inc. All rights reserved.


POLARPOINT create a point from polar coordinates (rho + theta) POINT = polarPoint(RHO, THETA); Creates a point using polar coordinate. THETA is angle with horizontal (counted counter-clockwise, and in radians), and RHO is the distance to origin. POINT = polarPoint(THETA) Specify angle, radius RHO is assumed to be 1. POINT = polarPoint(POINT, RHO, THETA) POINT = polarPoint(X0, Y0, RHO, THETA) Adds the coordinate of the point to the coordinate of the specified point. For example, creating a point with : P = polarPoint([10 20], 30, 2*pi); will give a result of [40 20]. See Also: points2d --------- author : David Legland INRA - TPV URPOI - BIA IMASTE created the 03/05/2004


Data-driven ECS (Entity Component System) game/application engine.
Very alpha. Although basic functionality is there, it's currently lacking lots of features (such as a good event system :).
npm install cell-engine
Check out the clockclock demo for a working example. Code can be found here.
In frontend development the term 'component' is usually associated with a partial reusable piece of view ('prefabs' speaking in Unity terms). Since react is used to create such pieces I decided to maintain the term 'component' for 'prefabs' and use the term 'cell' for 'component'. Entities are solely represented by an id.
Well okay technically entities are still there but solely represented by an id, nothing more than a bag of cells (pieces of data) that store their own entity id. Adding or removing features/traits or changing an 'entity' completely becomes as easy as adding or removing cells.
Cells are pure data! Represented by flat json files. Each cell stores the entity id (eid) that it is part of. This should make serialization of the whole application as simple as saving all cells to json (future work).
// transform.json
{
"eid": -1,
"x": 0,
"y": 0,
"rotation": 0,
"scaleX": 1.0,
"scaleY": 1.0
}
Systems provide the behaviour that is exhibited by the entities. Systems are designed to act on entities with a certain combination of cells (which is efficiently determined by matching bitmasks). Trigger or untrigger a system for a specific entity is easily achieved by added or removing the appropriate cells. Note that the order in which systems are executed is important to make sure changed data is caught on by the next system.
import System from './System';
export default class Renderer extends System
{
/**
* The cell combination to act on.
*/
public static cells = ['transform'];
/**
* Is ran each tick for every entity that matches the cell mask
*
* @param transform - Transform cell. Each update call the next matching entity transform is injected.
*/
public update(transform)
{
const view = this.store.views[this.eid]; // NOTE views are normally not accessed from systems!!
view.x = transform.x;
view.y = transform.y;
view.rotation = transform.rotation;
view.scale.x = transform.scaleX;
view.scale.y = transform.scaleY;
const sprite = this.getCell('sprite');
if(!sprite) {return}
view.anchor.x = sprite.anchorX;
view.anchor.y = sprite.anchorY;
}
}
Components represent parts of reusable views and their cell data settings. Cells are represented as 'c-' prefixed attributes. The element itself is interpreted as a 'node' cell. React is solely used to create such components, because it allows a readable way to define structure as well as some validation on cells.
import * as React from 'react';
export default
<clock c-clock={{}} c-sprite={{texture: 'img_clock'}}>
<dial name='dial1'/>
<dial name='dial2' c-transform={{rotation: Math.PI/2}}/>
</clock>;
Ultimately cell-engine should be renderer independent. View nodes are kept separate in a special array in the store. The render system (only) should translate the application data to the views.
Because the whole application is represented by a collection of json's the complete application can be represented by a 2 dimensional array: cell x eid. Systems can iterate effeciently over all entities and triggered appropriately by using bitmasks that represent the combination of cells. Because systems are executed in a specific order this provides a predictable way in which cells are looked up and should reduce the number of cache misses.
Generated using TypeDoc


Jake Paul claims KSI vs Logan Paul rematch was "rigged" in x-rated rant
Logan Paul lost to rival KSI in their grudge match - and younger brother Jake Paul claimed the sport is "rigged"
by Rich Jones, https://www.mirror.co.uk/authors/rich-jones/Jake Paul claims the rematch between brother Logan Paul and KSI was "rigged" as he slammed boxing in an x-rated rant.
Paul was beaten by the narrowest of margins in a split decision after being deducted two points without prior warning for hitting KSI on the ground after a knockdown in round four.
That decision made all the difference when it went to the scorecards, with one of the three judges at ringside still scoring the money-spinning bout in favour of the American.
And younger brother Jake, who was sat at ringside sporting a replica WBC belt and claiming to be "WBC amateur champion" after beating KSI's younger brother on the undercard of their first clash last year, was furious with the outcome.
He accused KSI of dining with DAZN chief Joe Markowski the day before the point and claimed the sport is corrupt.
Addressing reporters in footage captured by iFL TV , Jake Paul said: "With that decision, that's just b*******.
"At the end of the day, I've been in this sport for a year now and, I probably shouldn't be saying this, but all this s*** is f****** rigged.
"You see people wining and dining each other, people at the Staples Center. Who was at the Staples Center last night with KSI? Joe Markowski.
"This sport is rigged, that's for sure.
"The short amount of time I've been here, I've heard multiple stories about people paying stuff off, choosing fights, what time people sign contracts.
"It's not an excuse, I'm just saying."
Immediately after the fight, Logan Paul declared his intention to "contest the commission" after his defeat.
"I thought it was a legitimate knockdown," Paul said. "I didn't get a warning.
"I got two points taken away from me and that's the reason I lost tonight. I would love to contest the commission because I think I should have got a warning. I don't think it was fair at all."


We've got some killer ideas kicking about already.
For best results, use an image at least 256px by 256px in either .jpg or .png format!
Sofia, Bulgaria
Washington, USA
Shanghai, China
Helena, Montana
Indore, India
Chisinau, Moldova
Vienna, Austria
Oslo, Norway
London, United Kingdom
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Dear Deborah, your Thai massage is today at 5pm.
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Coming along nicely, we've got a draft for the client quarries completed.
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Find the best match for your furry friend!
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Energy
Dogs socialize in a safe and controlled environment with other members
group
Connections
Dog owners create connection with other dog owners in their area by establishing dates for them to meet with their dogs.
settings
Bond
Dogs and owners will be able to grow a stronger bond with eachother by spending more time with eachother and other similar
How it works?
Create an account and login.  Answer the questionaire and you're done! Potential matches for your dog will appear with the percentage of compatability!


|
Scientific Fortran Tools (SciFT)
1.2
|
Data Types | |
| type | fstream |
| Base class. More... | |
| type | ifstream |
| Represents the input files. More... | |
| type | ofstream |
| Represents the output files. More... | |
Public Member Functions | |
| subroutine | fstream_init (this, name, append) |
| Constructor. More... | |
| subroutine, public | iostream_test () |
| Test method of this class. More... | |
Public Attributes | |
| integer, parameter, public | stdin = 5 |
| Public parameters. More... | |
| integer, parameter, public | stdout = 6 |
| integer, parameter, public | stderr = 0 |
Private Member Functions | |
| logical function | isopen (this) |
| Destructor. More... | |
| subroutine | close (this) |
| Destructor. More... | |
| subroutine | destroy (this) |
| Destructor. More... | |
| logical function | fstream_eof (this) |
| Checks the end of file bit. More... | |
| subroutine | show (this) |
| Print to screen the details of this object. More... | |
| subroutine | ifstream_scan (this) |
| Extract information from the file i.e. numberOfLines. More... | |
| character(:) function, allocatable | ifstream_readline (this, cComments, peek) |
| Extract information from the file i.e. numberOfLines. More... | |
| character(:) function, allocatable | ifstream_peek (this, cComments) |
| Peek next line. More... | |
| subroutine | ifstream_showcontent (this) |
| Extract information from the file i.e. numberOfLines. More... | |
Private Attributes | |
| character(19), parameter | null_filename = "@$@NULL_FILENAME@$@" |
| integer | lastunit = 9 |
| private parameters More... | |
Definition at line 31 of file IOStream.f90.
|
private |
Destructor.
Definition at line 174 of file IOStream.f90.
|
private |
Destructor.
Definition at line 183 of file IOStream.f90.
|
private |
Checks the end of file bit.
Definition at line 192 of file IOStream.f90.
| subroutine iostream::fstream_init | ( | class(fstream) | this, |
| character(*), intent(in), optional | name, | ||
| logical, intent(in), optional | append | ||
| ) |
Constructor.
Definition at line 98 of file IOStream.f90.
|
private |
Peek next line.
Definition at line 321 of file IOStream.f90.
|
private |
Extract information from the file i.e. numberOfLines.
Puede que haya problemas si se llama a otras funciones despues de readLine ya que no se cierra el fichero
El output no debería ser de tipo allocatable ya que queda en manos del usuario llamar el deallocate
Definition at line 283 of file IOStream.f90.
|
private |
Extract information from the file i.e. numberOfLines.
Definition at line 244 of file IOStream.f90.
|
private |
Extract information from the file i.e. numberOfLines.
Definition at line 332 of file IOStream.f90.
| subroutine, public iostream::iostream_test | ( | ) |
Test method of this class.
Definition at line 363 of file IOStream.f90.
|
private |
Destructor.
Definition at line 160 of file IOStream.f90.
|
private |
Print to screen the details of this object.
Definition at line 202 of file IOStream.f90.
|
private |
private parameters
Definition at line 50 of file IOStream.f90.
|
private |
Definition at line 42 of file IOStream.f90.
| integer, parameter, public iostream::stderr = 0 |
Definition at line 41 of file IOStream.f90.
| integer, parameter, public iostream::stdin = 5 |
Public parameters.
Definition at line 39 of file IOStream.f90.
| integer, parameter, public iostream::stdout = 6 |
Definition at line 40 of file IOStream.f90.


Provides the Bayesian nonparametric inference for the causal effects of mediation. The function bnpmediation() gives the posterior means and credible intervals of the effects of mediation on the data. Full details: Kim, C., Daniels, M. J., Marcus, B. H. and Roy, J. A. (2017) <doi:10.1111/biom.12575>.
| Version: | 0.1.0 |
| Depends: | R (≥ 3.3.1) |
| Imports: | DPpackage (≥ 1.0.0), mnormt (≥ 1.4.0), condMVNorm |
| Suggests: | testthat |
| Published: | 2017-07-07 |
| Author: | Chanmin Kim, Michael Daniels |
| Maintainer: | Aarti Singh <mdstat2016 at gmail.com> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | BNPMediation results |
| Reference manual: | BNPMediation.pdf |
| Package source: | BNPMediation_0.1.0.tar.gz |
| Windows binaries: | r-devel: BNPMediation_0.1.0.zip, r-release: BNPMediation_0.1.0.zip, r-oldrel: BNPMediation_0.1.0.zip |
| OS X binaries: | r-release: BNPMediation_0.1.0.tgz, r-oldrel: BNPMediation_0.1.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=BNPMediation to link to this page.


WAV to MP3 Encoder, written in C++
- uses LAME library (https://lame.sourceforge.io/)
- supports encoding multiple files using pthread by putting input in directory path
- works on Linux (x86_64), Windows 10(x86), MinGW system
Build
- Linux, MinGW: make
- Windows: build by Microsoft Visual Studio 2019 project
Note for Linux system
- Some system may require glibc-static library.
- If arch does not match,\ . build lame static library and install or copy the file(libmp3lame.a) to ./lib
Note for Windows system
- Use Microsoft Visual Studio 2019 solution/project files - MP3enc_cpp.sln.
- When you build libmp3lame library,\ . as recommended in README, use nmake instead of Visual Studio project.\ . this needs nasm for build (https://www.nasm.us/pub/nasm/releasebuilds/2.14.02/win64/) as it assumes nasm is available.
#__ readme ____________________________________________________________________
# nmake -f Makefile.MSVC
# -> build lame, but not mp3x
# -> use Robert's code modifications
# -> assume MSVC 6.0 compiler available
# -> assume NASM available
# -> assemble MMX code with NASM
# -> no compiler warnings
# -> use single precision float
- and it needs a modification on its filename and to add the installation directory(default: C: Files) to PATH.
diff --git a/Makefile.MSVC b/Makefile.MSVC
index 6538911..527a9a6 100644
--- a/Makefile.MSVC
+++ b/Makefile.MSVC
@@ -544,7 +544,7 @@ ASM_OBJ = $(ASM_OBJ) \
.SUFFIXES : .nas
.nas.obj:
@echo $<
- @nasmw -f $(OFF) -i libmp3lame/i386/ -DWIN32 $< -o $@
+ @nasm -f $(OFF) -i libmp3lame/i386/ -DWIN32 $< -o $@
CC_SWITCHES = $(CC_SWITCHES) /DHAVE_NASM
ASM_OBJ = $(ASM_OBJ) \
- pthread headers(.\pthread_h\*.h) should be placed in include directory of either Windows SDK(C: Files (x86) Kits\10}) or MSVC(C: Files (x86) Visual Studio\2019\Community\VC\Tools\MSVC\14.24.28314.
- In case that you encounter a link error on building pthread-w32 library,\ . to build a static library of pthread, you need to modify Makefile - '/MD' in to '/MT'.\ . if timespec definition duplicated, add '&& !defined(_INC_TIME)' to pthread.h
#if !defined(HAVE_STRUCT_TIMESPEC) && !defined(_INC_TIME)
#define HAVE_STRUCT_TIMESPEC
#if !defined(_TIMESPEC_DEFINED
#define _TIMESPEC_DEFINED
struct timespec {
time_t tv_sec;
long tv_nsec;
};
#endif
#endif
Usage
MP3enc_cpp <input_directory | input_filename [-o <output_filename>]> [OPTIONS]
Options:
-h Show help
-r Search subdirectories recursively
-q <mode> Set quality level
fast fast encoding with small file size
standard standard quality - default
best best quality
-v Verbose detail
Example:
MP3enc_cpp input.wav -o output.mp3
MP3enc_cpp wav_dir/ -r -q fast -v
- To see technical detail, open ./html/index.html document generated through Doxygen


{% extends "base.html" %} {% block content %} {% if object_list %}
| Shares in the Domain | |||||||
| SNo | Share | Read Permissions | Write Permissions | Edit Share | Delete Share | ||
| {{ forloop.counter }} | {{ object.share }} | {% for user in object.read.all %} {{ user }} {% endfor %} | {% for user in object.write.all %} {{ user }} {% endfor %} | Edit this Share | Delete this Share |