Menge Log
| initialized logger |
| Plugin path: D:\File\Project\Menge-master\Exe\plugins\debug |
| Loading Menge core-simulation plugins... |
| Loaded: Dummy Pedestrian Model A simple example of a pedestrian model. The dummy model computes a new velocity by randomly perturbing the preferred velocity. |
| Loaded: Aircraft_utils Utilties for simulating aircraft loading and unloading including the following: Action "set_xproperty" - which sets properties according to the agent's position along the x-axis Condition "clear_AABB" - Transition into a state according to whether or not an AABB is clear |
| Loaded: StressGAS_utils Utilties for modelling stress according to the GAS model including the following: Action "timed_stress" - registers an agent to accumulate stress up to 100% stressed in a specified number of seconds. |
| Loaded: Terrain_utils Simulation elements based on a height field including: Elevation element HeightField resource HeightField velocity modifier |
| Parsing project XML: D:\File\Project\Menge-master\examples\Town_v2\Town_v2.xml |
| Project root: D:\File\Project\Menge-master\examples\Town_v2 |
| Attempting to write scb file: D:\File\Project\Menge-master\examples\Town_v2\out.scb |
| Scene root: D:\File\Project\Menge-master\examples\Town_v2. |
| Expecting a missing float attribute (rotation) on line 39. Using default value: 0. |
| Expecting a missing float attribute (rotation) on line 46. Using default value: 0. |
| Expecting a missing float attribute (rotation) on line 53. Using default value: 0. |
| Loading behavior from xml: D:\File\Project\Menge-master\examples\Town_v2\Town_v2B_test2.xml |
| Behavior root: D:\File\Project\Menge-master\examples\Town_v2 |
| Expecting a missing float attribute (weight) on line 1234. Using default value: 1. |
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| There are 0 registered tasks. |
| No elevation implementation specified. Using "flat" implementation. |
| For logical time step: 0.4 and 0 sub steps, effective time step is: 0.4 |
| SCBWRITER: version: 2.1 |
| Simulation time: 200.399 |


Number of intervals in set I that overlap with an interval in set J at that hour
Loading...
Processed {{counter}} thousand J intervals (intersecting with all I intervals).


How much cup of coffee had you had?
5
Do you need more coffee?
Waiting for an answer...
How many miles since your last oil change?
500
Do you need an oil change?


ACHIEVEMENTS!!

IN SPORTS
2nd rank in CHESS
IN GK OLYMPIADS
state topper
IN LANGUAGE
german language
IN SCIENCE OLYMPIADS
2ND RANK
IN MATHS OLYMPIADS
3RD RANK
IN NEWS
image in NEWS


Application of reinsurance treaties to claims portfolios. The package creates a class Claims whose objective is to store claims and premiums, on which different treaties can be applied. A statistical analysis can then be applied to measure the impact of reinsurance, producing a table or graphical output. This package can be used for estimating the impact of reinsurance on several portfolios or for pricing treaties through statistical analysis. Documentation for the implemented methods can be found in "Reinsurance: Actuarial and Statistical Aspects" by Hansjöerg Albrecher, Jan Beirlant, Jozef L. Teugels (2017, ISBN: 978-0-470-77268-3) and "REINSURANCE: A Basic Guide to Facultative and Treaty Reinsurance" by Munich Re (2010) <https://www.munichre.com/site/mram/get/documents_E96160999/mram/assetpool.mr_america/PDFs/3_Publications/reinsurance_basic_guide.pdf>.
| Version: | 0.1.0 |
| Depends: | R (≥ 2.2), data.table, dplyr, viridis, viridisLite, ggplot2, methods |
| Published: | 2018-02-20 |
| Author: | Arnaud Buzzi |
| Maintainer: | Arnaud Buzzi <arnaud.buzzi at sia-partners.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| Materials: | README |
| In views: | Finance |
| CRAN checks: | reinsureR results |
| Reference manual: | reinsureR.pdf |
| Package source: | reinsureR_0.1.0.tar.gz |
| Windows binaries: | r-devel: reinsureR_0.1.0.zip, r-release: reinsureR_0.1.0.zip, r-oldrel: reinsureR_0.1.0.zip |
| OS X binaries: | r-release: reinsureR_0.1.0.tgz, r-oldrel: reinsureR_0.1.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=reinsureR to link to this page.


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--- layout: pretty title: Project Documentation ---
Open source project giving event organizers and speakers a way to get feedback from attendees.
We are committed to making participation in this project a harassment-free experience
Meet the team behind Joind.in
The EU General Data Protection Regulation
We Speak HTTP


Top 3 JavaScript errorsSome subtitle
The card is not an interactive element, therefore, there are no hover,
active and disabled card.
Top 3 JavaScript errors
This is some generic content
Top 3 JavaScript errors and lorem ipsum bla bla bla bla bla foo bar and
so on etc.
Some subtitle lorem ipsum bla bla bla bla bla foo bar and so on etc.
This is some even more very generic content that is super long


| Organization | |
|---|---|
| {$ org.name $} | Settings SharingSub-Organizations Members Remove |
| Sub-Organizations | Create new sub-organization |
| {$ sub_org.name $} | Members Remove |
| Organization Name | Number of Buildings | Your Role | Organization Owner(s) |
|---|---|---|---|
| {$ org.name $} {$ org.name $} | {$ org.num_buildings $} | {$ org.user_role || "-" $} |
{$ owner.first_name $} {$ owner.last_name $} |


 Porro, quam.
This is span. This is also a spanwork hard. push yourself, Because no one else is going to do it for you


I am employed by HDR as a senior civil engineer with 25 years of experience. I specialize in planning and scheduling for major transportation projects using the Critical Path Method (CPM) and Oracle Primavera P6 software. I am certified as a Planning and Scheduling Professional (PSP) by AACE International.
I help our clients by reviewing the project schedule submittals that they receive from their construction contractors. Sometimes I also develop engineering schedules to support our design work and construction schedules to support our cost estimating work.
I was raised in a small town in central Illinois. I spent the first 16 years of my career working for major construction contractors, including Traylor Bros. and Kiewit, and moving from project to project every couple of years. I have lived and worked in Illinois, Missouri, South Carolina, Florida, Indiana, Kentucky, Arizona, and now Utah.
I moved to Salt Lake City in 2008 to be the Schedule Manager for the Utah Transit Authority's West Valley and Airport TRAX projects. I met my wife and decided to stay here. After the UTA projects were finished, I worked in project controls for Williams Northwest Pipeline for about 5 years and then joined HDR in 2017.
In March 2020, I started teaching myself Excel VBA and building an application to analyze data from Primavera P6. I discovered that I really enjoy coding and wanted to learn more. I am currently a part-time student at the University of Utah Professional Education Coding Boot Camp. I expect to graduate in May 2021 with a certificate in full stack web development.
When I am not scheduling or coding, I enjoy rock climbing, skiing, and backpacking with my wife. Utah is a great place to live with a lifetime of outdoor adventures.


-
Benevity Inc.
Better Work and a Better World: at Benevity that’s what we’re all about. We’re a software company in the business of doing good, building better ways for companies to connect with their customers and employees around causes (we make “doing well by doing good” more than just a tagline!). We’re growing fast and looking for more great people to join us.
We’re not Bono, just a passionate crew of workhorses out to change the world. We have that fun, flexible tech culture that people love (ok, some people – you know who you are!) – and we have a heart. We’re a registered B Corporation, which means we’re part of a new breed of companies committed to higher social and environmental standards.
-
Motion Metrics International
With over fifteen years of experience, Motion Metrics applies the latest in artificial intelligence and deep learning techniques to solve tough safety and efficiency related challenges in mines, quarries, and industrial sites around the world. As a growing company, we are always searching for new talent with a passion for developing cutting-edge technology. Motion Metrics is looking for engineers, developers, and computer scientists from all disciplines and backgrounds to join our diverse team at our headquarters in Vancouver, BC. With strong growth incentives and exciting activities in a beautiful setting, Motion Metrics is the perfect environment to advance your tech career.
-
Orbis
Orbis is a privately-held global investment management firm that invests over $25 billion in capital. The firm manages several performance-driven equity funds in both long-only and absolute return strategies using a long-term, fundamental, contrarian investment approach. Orbis employs approximately 400 people in eight countries, who represent more than 35 nationalities, speak more than 15 languages and come from a wide range of educational and professional backgrounds.
-
PDFTron Systems Inc.
PDFTron Systems Inc. is a premier provider of standards-based document technologies related to PDF, XPS, SVG, ePub, MS Office, HTML, and other graphic file formats. PDFTron’s cross-platform, high-performance developer components power well-known commercial products, complex enterprise-wide document management and publishing workflows, as well as high-traffic web-based applications, changing how we use documents one application at a time in virtually all industry areas.
PDFTron fosters an atmosphere of opportunity, growth, and success for every single individual amidst an exciting, challenging and entrepreneurial culture. Guided by a clear company vision, every member of our vibrant team is empowered to be a contributor, innovator and successful leader.
-
Tableau
Tableau Software is an American computer software company headquartered in Seattle, Washington. It produces a family of interactive data visualization products focused on business intelligence.
-
TTT Studios
TTT Studio is a world-class software development Company working for a global client list in multiple industries. Over the past 9 years, we have built multiple applications and patented a portfolio of technologies. This experience puts us in the best position to cater larger accounts and launch our own products.
We are a family. We have fun. Design means everything to us and we have the technical chops to deliver what lesser programmers might describe as spooky magic. We expect amazing things from every TTT family member and drive each other to achieve greatness.


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This sentence must be at the top of the second page.
Lorem ipsum dolor sit amet, consectetuer adipiscing elit.
This must be the last sentence on the second and final page.


Week 3
Week 3 is about making inferences about numerical data.
Complete all Exercises, and submit answers to Questions on the Coursera platform.
0.9 Getting Started
0.9.1 Load packages
In this lab we will explore the data using the dplyr
package and visualize it
using the ggplot2
package for data visualization. The data can be found in the
companion package for this course, statsr
.
Let’s load the packages.
0.9.2 The data
In 2004, the state of North Carolina released a large data set containing information on births recorded in this state. This data set is useful to researchers studying the relation between habits and practices of expectant mothers and the birth of their children. We will work with a random sample of observations from this data set.
Load the nc
data set into our workspace.
We have observations on 13 different variables, some categorical and some numerical. The meaning of each variable is as follows.
| variable | description |
|---|---|
fage |
father’s age in years. |
mage |
mother’s age in years. |
mature |
maturity status of mother. |
weeks |
length of pregnancy in weeks. |
premie |
whether the birth was classified as premature (premie) or full-term. |
visits |
number of hospital visits during pregnancy. |
marital |
whether mother is married or not married at birth. |
gained |
weight gained by mother during pregnancy in pounds. |
weight |
weight of the baby at birth in pounds. |
lowbirthweight |
whether baby was classified as low birthweight (low ) or not (not low ). |
gender |
gender of the baby, female or male . |
habit |
status of the mother as a nonsmoker or a smoker . |
whitemom |
whether mom is white or not white . |
- There are 1,000 cases in this data set, what do the cases represent?
- The hospitals where the births took place
- The fathers of the children
- The days of the births
- The births
As a first step in the analysis, we should take a look at the variables in the dataset.
This can be done using the str
command:
## Classes 'tbl_df', 'tbl' and 'data.frame': 1000 obs. of 13 variables:
## $ fage : int NA NA 19 21 NA NA 18 17 NA 20 ...
## $ mage : int 13 14 15 15 15 15 15 15 16 16 ...
## $ mature : Factor w/ 2 levels "mature mom","younger mom": 2 2 2 2 2 2 2 2 2 2 ...
## $ weeks : int 39 42 37 41 39 38 37 35 38 37 ...
## $ premie : Factor w/ 2 levels "full term","premie": 1 1 1 1 1 1 1 2 1 1 ...
## $ visits : int 10 15 11 6 9 19 12 5 9 13 ...
## $ marital : Factor w/ 2 levels "married","not married": 1 1 1 1 1 1 1 1 1 1 ...
## $ gained : int 38 20 38 34 27 22 76 15 NA 52 ...
## $ weight : num 7.63 7.88 6.63 8 6.38 5.38 8.44 4.69 8.81 6.94 ...
## $ lowbirthweight: Factor w/ 2 levels "low","not low": 2 2 2 2 2 1 2 1 2 2 ...
## $ gender : Factor w/ 2 levels "female","male": 2 2 1 2 1 2 2 2 2 1 ...
## $ habit : Factor w/ 2 levels "nonsmoker","smoker": 1 1 1 1 1 1 1 1 1 1 ...
## $ whitemom : Factor w/ 2 levels "not white","white": 1 1 2 2 1 1 1 1 2 2 ...
As you review the variable summaries, consider which variables are categorical and which are numerical. For numerical variables, are there outliers? If you aren’t sure or want to take a closer look at the data, make a graph.
0.10 Exploratory data analysis
We will first start with analyzing the weight gained by mothers throughout the
pregnancy: gained
.
Using visualization and summary statistics, describe the distribution of weight
gained by mothers during pregnancy. The summary
function can also be useful.
## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## 0.00 20.00 30.00 30.33 38.00 85.00 27
- How many mothers are we missing weight gain data from?
- 0
- 13
- 27
- 31
Next, consider the possible relationship between a mother’s smoking habit and the weight of her baby. Plotting the data is a useful first step because it helps us quickly visualize trends, identify strong associations, and develop research questions.
- Make side-by-side boxplots of
habit
andweight
. Which of the following is false about the relationship between habit and weight?- Median birth weight of babies born to non-smoker mothers is slightly higher than that of babies born to smoker mothers.
- Range of birth weights of babies born to non-smoker mothers is greater than that of babies born to smoker mothers.
- Both distributions are extremely right skewed.
- The IQRs of the distributions are roughly equal.
# type your code for the Question 3 here, and Knit
#boxplot(nc$habit,nc$weight)
ggplot(nc, aes(x=habit, y=weight)) + geom_boxplot()
The box plots show how the medians of the two distributions compare, but we can
also compare the means of the distributions using the following to
first group the data by the habit
variable, and then calculate the mean
weight
in these groups using the mean
function.
## Warning: Factor `habit` contains implicit NA, consider using
## `forcats::fct_explicit_na`
## # A tibble: 3 x 2
## habit mean_weight
## <fct> <dbl>
## 1 nonsmoker 7.14
## 2 smoker 6.83
## 3 <NA> 3.63
There is an observed difference, but is this difference statistically significant? In order to answer this question we will conduct a hypothesis test.
0.11 Inference
Exercise: Are all conditions necessary for inference satisfied? Comment on each. You can compute the group sizes using the same by
command above but replacing mean(weight)
with n()
.
Answer: This is the case of inference where two means are compared and t-distribution will be used. The categories are independent by definition and the number of samples are assumed to be <10% of the entire population as there would be many number of cases. Both the group distributions are not very skewed as per the box plots above.
## Warning: Factor `habit` contains implicit NA, consider using
## `forcats::fct_explicit_na`
## # A tibble: 3 x 2
## habit no_of_cases
## <fct> <int>
## 1 nonsmoker 873
## 2 smoker 126
## 3 <NA> 1
- What are the hypotheses for testing if the average weights of babies born to
smoking and non-smoking mothers are different?
- \(H_0: \mu_{smoking} = \mu_{non-smoking}\); \(H_A: \mu_{smoking} > \mu_{non-smoking}\)
- \(H_0: \mu_{smoking} = \mu_{non-smoking}\); \(H_A: \mu_{smoking} \ne \mu_{non-smoking}\)
- \(H_0: \bar{x}_{smoking} = \bar{x}_{non-smoking}\); \(H_A: \bar{x}_{smoking} > \bar{x}_{non-smoking}\)
- \(H_0: \bar{x}_{smoking} = \bar{x}_{non-smoking}\); \(H_A: \bar{x}_{smoking} > \bar{x}_{non-smoking}\)
- \(H_0: \mu_{smoking} \ne \mu_{non-smoking}\); \(H_A: \mu_{smoking} = \mu_{non-smoking}\)
Next, we introduce a new function, inference
, that we will use for conducting
hypothesis tests and constructing confidence intervals.
Then, run the following:
inference(y = weight, x = habit, data = nc, statistic = "mean", type = "ht", null = 0,
alternative = "twosided", method = "theoretical")
## Response variable: numerical
## Explanatory variable: categorical (2 levels)
## n_nonsmoker = 873, y_bar_nonsmoker = 7.1443, s_nonsmoker = 1.5187
## n_smoker = 126, y_bar_smoker = 6.8287, s_smoker = 1.3862
## H0: mu_nonsmoker = mu_smoker
## HA: mu_nonsmoker != mu_smoker
## t = 2.359, df = 125
## p_value = 0.0199
Let’s pause for a moment to go through the arguments of this custom function.
The first argument is y
, which is the response variable that we are
interested in: weight
. The second argument is the explanatory variable,
x
, which is the variable that splits the data into two groups, smokers and
non-smokers: habit
. The third argument, data
, is the data frame these
variables are stored in. Next is statistic
, which is the sample statistic
we’re using, or similarly, the population parameter we’re estimating. In future labs
we can also work with “median” and “proportion”. Next we decide on the type
of inference
we want: a hypothesis test ("ht"
) or a confidence interval ("ci"
). When performing a
hypothesis test, we also need to supply the null
value, which in this case is 0
,
since the null hypothesis sets the two population means equal to each other.
The alternative
hypothesis can be "less"
, "greater"
, or "twosided"
.
Lastly, the method
of inference can be "theoretical"
or "simulation"
based.
For more information on the inference function see the help file with ?inference
.
Exercise: What is the conclusion of the hypothesis test?
- Change the
type
argument to"ci"
to construct and record a confidence interval for the difference between the weights of babies born to nonsmoking and smoking mothers, and interpret this interval in context of the data. Note that by default you’ll get a 95% confidence interval. If you want to change the confidence level, add a new argument (conf_level
) which takes on a value between 0 and 1. Also note that when doing a confidence interval arguments likenull
andalternative
are not useful, so make sure to remove them.- We are 95% confident that babies born to nonsmoker mothers are on average 0.05 to 0.58 pounds lighter at birth than babies born to smoker mothers.
- We are 95% confident that the difference in average weights of babies whose moms are smokers and nonsmokers is between 0.05 to 0.58 pounds.
- We are 95% confident that the difference in average weights of babies in this sample whose moms are smokers and nonsmokers is between 0.05 to 0.58 pounds.
- We are 95% confident that babies born to nonsmoker mothers are on average 0.05 to 0.58 pounds heavier at birth than babies born to smoker mothers.
# type your code for the Question 5 here, and Knit
inference(y = weight, x = habit, data = nc, statistic = "mean", type = "ci", method = "theoretical")
## Response variable: numerical, Explanatory variable: categorical (2 levels)
## n_nonsmoker = 873, y_bar_nonsmoker = 7.1443, s_nonsmoker = 1.5187
## n_smoker = 126, y_bar_smoker = 6.8287, s_smoker = 1.3862
## 95% CI (nonsmoker - smoker): (0.0508 , 0.5803)
By default the function reports an interval for (\(\mu_{nonsmoker} - \mu_{smoker}\))
. We can easily change this order by using the order
argument:
inference(y = weight, x = habit, data = nc, statistic = "mean", type = "ci",
method = "theoretical", order = c("smoker","nonsmoker"))
## Response variable: numerical, Explanatory variable: categorical (2 levels)
## n_smoker = 126, y_bar_smoker = 6.8287, s_smoker = 1.3862
## n_nonsmoker = 873, y_bar_nonsmoker = 7.1443, s_nonsmoker = 1.5187
## 95% CI (smoker - nonsmoker): (-0.5803 , -0.0508)
- Calculate a 99% confidence interval for the average length of pregnancies
(
weeks
). Note that since you’re doing inference on a single population parameter, there is no explanatory variable, so you can omit thex
variable from the function. Which of the following is the correct interpretation of this interval?- (38.1526 , 38.5168)
- (38.0892 , 38.5661)
- (6.9779 , 7.2241)
- (38.0952 , 38.5742)
# type your code for Question 6 here, and Knit
inference(y = weeks, data = nc, statistic = "mean", type = "ci", conf_level = 0.99, method = "theoretical")
## Single numerical variable
## n = 998, y-bar = 38.3347, s = 2.9316
## 99% CI: (38.0952 , 38.5742)
Exercise: Calculate a new confidence interval for the same parameter at the 90% confidence level. Comment on the width of this interval versus the one obtained in the the previous exercise.
Answer: This CI is narrower compared to the 99% CI.
# type your code for the Exercise here, and Knit
inference(y = weeks, data = nc, statistic = "mean", type = "ci", conf_level = 0.90, method = "theoretical")
## Single numerical variable
## n = 998, y-bar = 38.3347, s = 2.9316
## 90% CI: (38.1819 , 38.4874)
Exercise: Conduct a hypothesis test evaluating whether the average weight gained by younger mothers is different than the average weight gained by mature mothers.
# type your code for the Exercise here, and Knit
#str(nc)
inference(y = weight, x = mature, data = nc, statistic = "mean", type = "ht", method = "theoretical", alternative = "twosided", null = 0)
## Response variable: numerical
## Explanatory variable: categorical (2 levels)
## n_mature mom = 133, y_bar_mature mom = 7.1256, s_mature mom = 1.6591
## n_younger mom = 867, y_bar_younger mom = 7.0972, s_younger mom = 1.4855
## H0: mu_mature mom = mu_younger mom
## HA: mu_mature mom != mu_younger mom
## t = 0.1858, df = 132
## p_value = 0.8529
- Now, a non-inference task: Determine the age cutoff for younger and mature mothers. Use a method of your choice, and explain how your method works.
# type your code for Question 7 here, and Knit
#str(nc)
nc %>%
group_by(mature) %>% #blocking for maturity by this line of code
summarise(min = min(mage), max = max(mage)) # summarizing the ages in a table
## # A tibble: 2 x 3
## mature min max
## <fct> <int> <int>
## 1 mature mom 35 50
## 2 younger mom 13 34
The minimum and maximum age of both categories are showcased which is the cutoff when it comes to the nc
dataset.
Exercise: Pick a pair of variables: one numerical (response) and one categorical
(explanatory). Come up with a research question evaluating the relationship between
these variables. Formulate the question in a way that it can be answered using a
hypothesis test and/or a confidence interval. Answer your question using the inference
function, report the statistical results, and also provide an explanation in
plain language. Be sure to check all assumptions,state your \(\alpha\) level, and conclude
in context. (Note: Picking your own variables, coming up with a research question,
and analyzing the data to answer this question is basically what you’ll need to do for
your project as well.)
# type your code for the Exercise here, and Knit
nc %>%
group_by(habit) %>%
summarise(avg = mean(gained, na.rm = TRUE), count = sum(is.na(gained)))
## Warning: Factor `habit` contains implicit NA, consider using
## `forcats::fct_explicit_na`
## # A tibble: 3 x 3
## habit avg count
## <fct> <dbl> <int>
## 1 nonsmoker 30.1 22
## 2 smoker 31.9 4
## 3 <NA> NaN 1
Let’s find out if the difference between weight gained for a nonsmoker and a smoker is statistically significant.
## Response variable: numerical
## Explanatory variable: categorical (2 levels)
## n_nonsmoker = 851, y_bar_nonsmoker = 30.0964, s_nonsmoker = 14.0226
## n_smoker = 122, y_bar_smoker = 31.9262, s_smoker = 15.6512
## H0: mu_nonsmoker = mu_smoker
## HA: mu_nonsmoker != mu_smoker
## t = -1.2229, df = 121
## p_value = 0.2237
Check conditions of t-test and interpret:
The absolute t-value and the corresponding p-value (0.2237) (w.r.t the standard significance level) implies that the difference in weight gained for smoker and non-smoker mothers is statistically not significant.
This is a product of OpenIntro that is released under a Creative Commons Attribution-ShareAlike 3.0 Unported. This lab was written for OpenIntro by Andrew Bray and Mine Çetinkaya-Rundel.
Questions answered and comments by Akshay Kotha


/* Options */
var options = {
// Scrolling speed. The higher, the faster.
speed: 1,
// Font and line color.
fontColor: '#343a42',
// The maximum number of beats can be displayed.
maxQueueCapacity: 10
};
/* Constructor */
var heartbeat = new zeu.Heartbeat('heartbeat', options);
/* Function */
// Send a beat.
heartbeat.beat({
// Beat color.
color: '#28a748',
// Control the size of the beat. 0 is the largest beat. 40 is the smallest.
space: 0
});
Increase view width to 800 and capacity to 100 to see more beats and seconds. Beat every 0.2s in random color and size.


The Best and the Worst Things that Happened to Knowledge Capture with the Advent of the Semantic Web
The Semantic Web has changed the nature of the knowledge economy at all levels. In many ways, this has been a very positive change as knowledge is more pervasive, accessible, and cross-linked than ever before. But it has also impacted the reliability and usability of knowledge. How has the Semantic Web changed how knowledge is captured and managed? How has this affected the research agenda of our community? How has it impacted users? This panel of long-time knowledge acquisition and capture researchers will present their views on the best and worst things that the Semantic Web has done in changing the landscape of knowledge capture.
Panel participants:
- Yolanda Gil (Chair), USC Information Sciences Institute
- Enrico Motta, Open University
- Mark Musen, Stanford University
- Guus Schreiber, Free University of Amsterdam
Yolanda Gil (Chair), USC Information Sciences Institute
I am Principal Investigator and Project Leader of the Interactive Knowledge Capture research
group at USC's Information Sciences Institute (ISI). My research focuses on intelligent interfaces
for knowledge capture, which is a central topic in our projects concerning knowledge-based planning
and problem solving, information analysis and assessment of trust, semantic annotation tools, agent
and software choreography, and community-wide development of knowledge bases. A recent focus is assisting
scientists with large-scale applications through the design of workflows and their distributed execution.
Enrico Motta, Open University
My research spans a variety of aspects related to semantic technologies and knowledge engineering, including ontology engineering, semantic web, knowledge-intensive problem solving, interfaces to knowledge-based systems, question answering, intelligent data integration, semantic search, and foundational issues. Consistently with the ethos of the Knowledge Media Institute practically all my projects focus on concrete user-centric functionalities, developed through scalable solutions, which typically integrate semantic and other technologies, such as computational linguistics and machine learning.
Mark Musen, Stanford University
Dr. Musen conducts research related to intelligent systems, the Semantic Web, reusable ontologies and knowledge representations, and biomedical decision support. His long-standing work on a system known as Protégé has led to an open-source technology now used by thousands of developers around the world to build intelligent computer systems and new computer applications for e-science and the Semantic Web. He is known for his research on the application of intelligent computer systems to assist health-care workers in guideline-directed therapy and in management of clinical trials. He is principal investigator of the National Center for Biomedical Ontology, one of the seven National Centers for Biomedical Computing supported by the NIH Roadmap.
Guus Schreiber, Free University of Amsterdam
Guus Schreiber is a professor of Intelligent Information Systems at the Department of Computer Science department of the VU University Amsterdam. His research interests are mainly in knowledge and ontology engineering, with a special interest for applications in the field of cultural heritage. He was one of the key developers of the CommonKADS methodology. He acts as chair of W3C groups for Semantic Web standards such as RDF, OWL, SKOS and RDFa. His research group is involved a wide range of national and international research projects. He is now project coordinator of the EU Integrated Project NoTube concerned with integration of Web and TV data with the help of semantics and was previously Sceintific Director of the EU Network of Excellence "Knowledge Web".


I love to talk to people about my work, and recieve their suggestions on them. You can always find me on twitter.


Panorama
The Panorama service is responsible for recording data for each anomaly.
It is important to remember that the Skyline analysis apps only alert on metrics
that have alert tuples set. However if you have settings.SYSLOG_ENABLED
set to True
syslog acts as an alerter, just like a SMTP, hipchat or
pagerduty alerter. Therefore having this set to True
means that Panorama
will record samples of all metrics that are flagged as anomalous. Sampling
at settings.PANORAMA_EXPIRY_TIME
, the default is 900 seconds. Although
this may result in a lot of entries in the anomalies DB table, it is useful for
helping with root cause analysis and correlations.
New records are used to trigger further analysis of the metric population in
Luminosity to analyse the metric population for cross correlations. However,
only metrics with a settings.ALERTS
tuple trigger Luminosity, but all
metric anomalies are recorded.
The settings.PANORAMA_CHECK_MAX_AGE
ensures that Panorama only processes
checks that are not older than this value. This mitigates against Panorama
stampeding against the MariaDB database, if either Panorama or MariaDB were
stopped and there are a lot of Panorama check files queued to process. If this
is set to 0, Panorama will process all checks, regardless of age.
There is a Panorama view in the Skyline Webapp frontend UI to allow you to search and view historic anomalies.
The skyline database
You can install and run MariaDB on the Skyline server itself or use any
existing MariaDB server to create the database on or use a Galera cluster.
The Skyline server just has to be able to access the database with the user and
password you configure in settings.py
settings.PANORAMA_DBUSER
and
settings.PANORAMA_DBUSERPASS
Skyline has moved to MariaDB and although MySQL and MariaDB should be interoperable, MariaDB has recently departed from full MySQL compatibility so it is recommended that you use the official MariaDB-server rather than MySQL if possible. Skyline is only be developed and tested against MariaDB.
InnoDB tables
It is recommended, if possible that MariaDB is configured to use a single
file per InnoDB table with the MariaDB config option -
innodb_file_per_table=1
. This is due to the fact that the anomalies and
Ionosphere related MariaDB tables are InnoDB tables and all the other
core Skyline DB tables are MyISAM.
The MyISAM storage engine is used for the metadata type tables because it is a simpler structure and faster for data which is often queried and FULL TEXT searching.
The InnoDB storage engine is used for the anomaly table - mostly writes.
z_fp_
tables are InnoDB tables and each metric that has an Ionosphere features
profile created (e.g. has been trained) has a z_fp_<metric_id>
and a
z_ts_<metric_id>
table created, therefore if you have 10000 metrics and you
created features profiles (trained) for each one, there would be 20000 tables.
Bear in mind, that not all metrics will have features profiles created as you
have to manually train to create each one.
If you are adding the Skyline database to an existing MariaDB database server please consider the ramifications to your set up. It is not a requirement, just a tidier and more efficient way to run MariaDB InnoDB tables in terms of managing space allocations with InnoDB and it segregates databases from each other in the context on the .ibd file spaces, making for easier management of each individual database in terms of ibd file space. However that was really only an additional caution. Retrospectively, it is unlikely that the anomalies table will ever really be a major problem in terms of the page space requirements any time soon.
MyISAM and InnoDB or InnoDB only
The default Skyline database schema is designed for optimum performance through the use of MyISAM and InnoDB tables where appropriate for the data and table usage. However the Skyline database can be run with InnoDB only tables. The small performance loss that may result from not using the MyISAM tables where appropriate is gained in the ability to run the database on a MariaDB Galera cluster to achieve high availability and resilience on the database. If you wish to use InnoDB tables only, see the lines to uncomment in the snippet below.
ID offsets
It is assumed that the database is not running with an offset and the database increments ids by 1. If you are running an offset please review all SQL updates to determine if you need to change anything in the SQL when you apply Skyline SQL updates. Although it is highly unlikely to ever need to be considered.
Create the skyline MariaDB database
See
skyline.sql
in your cloned Skyline repo for the schema creation script and create the skyline database (also create a user with permissions on the database, e.g.
# IF YOU WISH TO USE INNODB TABLES ONLY UNCOMMENT THE FOLLOWING LINES
# For Galera clustering
#cp /opt/skyline/github/skyline/skyline/skyline.sql /opt/skyline/github/skyline/skyline/skyline.myisam.sql
#cat /opt/skyline/github/skyline/skyline/skyline.myisam.sql | sed -e 's/MyISAM/InnoDB/g' > /opt/skyline/github/skyline/skyline/skyline.sql
# Note if you are using MariaDB on the database host, the password is longer
# required for the root user. If you are using MySQL use password as
# appropriate
mysql -u root < /opt/skyline/github/skyline/skyline/skyline.sql
# Example permissions, change localhost to as appropriate for your set up
mysql -u root -e "GRANT ALL ON skyline.* TO 'skyline'@'localhost' IDENTIFIED BY '$YOUR_MYSQL_SKYLINE_PASSWORD' \
FLUSH PRIVILEGES;"
Enable Panorama and review the other Panorama settings in
settings.py
Start Panorama (use your appropriate PATH) - or go back to Installation and continue with the installation steps and Panorama will be started later in the installation process.
systemctl start panorama


Docker Context
読む時間の目安: 8 分Introduction
This guide shows how contexts make it easy for a single Docker CLI to manage multiple Swarm clusters, multiple Kubernetes clusters, and multiple individual Docker nodes.
A single Docker CLI can have multiple contexts. Each context contains all of the endpoint and security information required to manage a different cluster or node. The docker context
command makes it easy to configure these contexts and switch between them.
As an example, a single Docker client on your company laptop might be configured with two contexts; dev-k8s and prod-swarm. dev-k8s contains the endpoint data and security credentials to configure and manage a Kubernetes cluster in a development environment. prod-swarm contains everything required to manage a Swarm cluster in a production environment. Once these contexts are configured, you can use the top-level docker context use <context-name>
to easily switch between them.
Prerequisites
To follow the examples in this guide, you’ll need:
- A Docker client that supports the top-level
context
command
Run docker context
to verify that your Docker client supports contexts.
You will also need one of the following:
- Docker Swarm cluster
- Single-engine Docker node
- Kubernetes cluster
The anatomy of a context
A context is a combination of several properties. These include:
- Name
- Endpoint configuration
- TLS info
- Orchestrator
The easiest way to see what a context looks like is to view the default context.
$ docker context ls
NAME DESCRIPTION DOCKER ENDPOINT KUBERNETES ENDPOINT ORCHESTRATOR
default * Current... unix:///var/run/docker.sock swarm
This shows a single context called “default”. It’s configured to talk to a Swarm cluster through the local /var/run/docker.sock
Unix socket. It has no Kubernetes endpoint configured.
The asterisk in the NAME
column indicates that this is the active context. This means all docker
commands will be executed against the “default” context unless overridden with environment variables such as DOCKER_HOST
and DOCKER_CONTEXT
, or on the command-line with the --context
and --host
flags.
Dig a bit deeper with docker context inspect
. In this example, we’re inspecting the context called default
.
$ docker context inspect default
[
{
"Name": "default",
"Metadata": {
"StackOrchestrator": "swarm"
},
"Endpoints": {
"docker": {
"Host": "unix:///var/run/docker.sock",
"SkipTLSVerify": false
}
},
"TLSMaterial": {},
"Storage": {
"MetadataPath": "\u003cIN MEMORY\u003e",
"TLSPath": "\u003cIN MEMORY\u003e"
}
}
]
This context is using “swarm” as the orchestrator (metadata.stackOrchestrator
). It is configured to talk to an endpoint exposed on a local Unix socket at /var/run/docker.sock
(Endpoints.docker.Host
), and requires TLS verification (Endpoints.docker.SkipTLSVerify
).
Create a new context
You can create new contexts with the docker context create
command.
The following example creates a new context called “docker-test” and specifies the following:
- Default orchestrator = Swarm
- Issue commands to the local Unix socket
/var/run/docker.sock
$ docker context create docker-test \
--default-stack-orchestrator=swarm \
--docker host=unix:///var/run/docker.sock
Successfully created context "docker-test"
The new context is stored in a meta.json
file below ~/.docker/contexts/
. Each new context you create gets its own meta.json
stored in a dedicated sub-directory of ~/.docker/contexts/
.
Note: The default context behaves differently than manually created contexts. It does not have a
meta.json
configuration file, and it dynamically updates based on the current configuration. For example, if you switch your current Kubernetes config usingkubectl config use-context
, the default Docker context will dynamically update itself to the new Kubernetes endpoint.
You can view the new context with docker context ls
and docker context inspect <context-name>
.
The following can be used to create a config with Kubernetes as the default orchestrator using the existing kubeconfig stored in /home/ubuntu/.kube/config
. For this to work, you will need a valid kubeconfig file in /home/ubuntu/.kube/config
. If your kubeconfig has more than one context, the current context (kubectl config current-context
) will be used.
$ docker context create k8s-test \
--default-stack-orchestrator=kubernetes \
--kubernetes config-file=/home/ubuntu/.kube/config \
--docker host=unix:///var/run/docker.sock
Successfully created context "k8s-test"
You can view all contexts on the system with docker context ls
.
$ docker context ls
NAME DESCRIPTION DOCKER ENDPOINT KUBERNETES ENDPOINT ORCHESTRATOR
default * Current unix:///var/run/docker.sock https://<IP_ADDRESS> (default) swarm
k8s-test unix:///var/run/docker.sock https://<IP_ADDRESS> (default) kubernetes
docker-test unix:///var/run/docker.sock swarm
The current context is indicated with an asterisk (“*”).
Use a different context
You can use docker context use
to quickly switch between contexts.
The following command will switch the docker
CLI to use the “k8s-test” context.
$ docker context use k8s-test
k8s-test
Current context is now "k8s-test"
Verify the operation by listing all contexts and ensuring the asterisk (“*”) is against the “k8s-test” context.
$ docker context ls
NAME DESCRIPTION DOCKER ENDPOINT KUBERNETES ENDPOINT ORCHESTRATOR
default Current DOCKER_HOST based configuration unix:///var/run/docker.sock https://<IP_ADDRESS> (default) swarm
docker-test unix:///var/run/docker.sock swarm
k8s-test * unix:///var/run/docker.sock https://<IP_ADDRESS> (default) kubernetes
docker
commands will now target endpoints defined in the “k8s-test” context.
You can also set the current context using the DOCKER_CONTEXT
environment variable. This overrides the context set with docker context use
.
Use the appropriate command below to set the context to docker-test
using an environment variable.
Windows PowerShell:
> $Env:DOCKER_CONTEXT=docker-test
Linux:
$ export DOCKER_CONTEXT=docker-test
Run a docker context ls
to verify that the “docker-test” context is now the active context.
You can also use the global --context
flag to override the context specified by the DOCKER_CONTEXT
environment variable. For example, the following will send the command to a context called “production”.
$ docker --context production container ls
Exporting and importing Docker contexts
The docker context
command makes it easy to export and import contexts on different machines with the Docker client installed.
You can use the docker context export
command to export an existing context to a file. This file can later be imported on another machine that has the docker
client installed.
By default, contexts will be exported as a native Docker contexts. You can export and import these using the docker context
command. If the context you are exporting includes a Kubernetes endpoint, the Kubernetes part of the context will be included in the export
and import
operations.
There is also an option to export just the Kubernetes part of a context. This will produce a native kubeconfig file that can be manually merged with an existing ~/.kube/config
file on another host that has kubectl
installed. You cannot export just the Kubernetes portion of a context and then import it with docker context import
. The only way to import the exported Kubernetes config is to manually merge it into an existing kubeconfig file.
Let’s look at exporting and importing a native Docker context.
Exporting and importing a native Docker context
The following example exports an existing context called “docker-test”. It will be written to a file called docker-test.dockercontext
.
$ docker context export docker-test
Written file "docker-test.dockercontext"
Check the contents of the export file.
$ cat docker-test.dockercontext
meta.json0000644000000000000000000000022300000000000011023 0ustar0000000000000000{"Name":"docker-test","Metadata":{"StackOrchestrator":"swarm"},"Endpoints":{"docker":{"Host":"unix:///var/run/docker.sock","SkipTLSVerify":false}}}tls0000700000000000000000000000000000000000000007716 5ustar0000000000000000
This file can be imported on another host using docker context import
. The target host must have the Docker client installed.
$ docker context import docker-test docker-test.dockercontext
docker-test
Successfully imported context "docker-test"
You can verify that the context was imported with docker context ls
.
The format of the import command is docker context import <context-name> <context-file>
.
Now, let’s look at exporting just the Kubernetes parts of a context.
Exporting a Kubernetes context
You can export a Kubernetes context only if the context you are exporting has a Kubernetes endpoint configured. You cannot import a Kubernetes context using docker context import
.
These steps will use the --kubeconfig
flag to export only the Kubernetes elements of the existing k8s-test
context to a file called “k8s-test.kubeconfig”. The cat
command will then show that it’s exported as a valid kubeconfig file.
$ docker context export k8s-test --kubeconfig
Written file "k8s-test.kubeconfig"
Verify that the exported file contains a valid kubectl config.
$ cat k8s-test.kubeconfig
apiVersion: v1
clusters:
- cluster:
certificate-authority-data:
<Snip>
server: https://<IP_ADDRESS>
name: cluster
contexts:
- context:
cluster: cluster
namespace: default
user: authInfo
name: context
current-context: context
kind: Config
preferences: {}
users:
- name: authInfo
user:
auth-provider:
config:
cmd-args: config config-helper --format=json
cmd-path: /snap/google-cloud-sdk/77/bin/gcloud
expiry-key: '{.credential.token_expiry}'
token-key: '{.credential.access_token}'
name: gcp
You can merge this with an existing ~/.kube/config
file on another machine.
Updating a context
You can use docker context update
to update fields in an existing context.
The following example updates the “Description” field in the existing k8s-test
context.
$ docker context update k8s-test --description "Test Kubernetes cluster"
k8s-test
Successfully updated context "k8s-test"


Get Black Friday pricing on gaming desks, mice, and more today
by Boing Boing's ShopDoes your computer gear need an upgrade? Don't cross your fingers and wait for Christmas. You can get 15% off the final sale price of all these essential accessories now by using the online code BFSAVE15, including gaming mice and computer desks.
Talk about a space saver. This high-quality mouse pad doubles as a wireless charger, and even works on phones without a Qi receiver.
MSRP: $25.99
Sale Price: $16.99
With Code BFSAVE15: $14.44
Offex Overlord 45" Wide PC Gamer Computer Desk
With two USB charging ports, a cable manager and headphone hook, this desk is sure to be command central for all your marathon raids. And yes, it's even got a cup holder.
MSRP: $316.00
Sale Price: $239.99
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Quest 45" Wide PC Gamer Computer Desk
This slim desk is deceptively durable with a steel frame and scratch-resistant finish. And it's got everything you need to keep organized, including three grounded outlet receptors and twin USB ports.
MSRP: $298.00
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This unit is built for speed, with a rubberized grip and onboard buttons that can adjust the DPI settings on the fly. The LED lights allow you to find your triggers easily and add a dash of style to any rig.
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Zone 47" Wide PC Gamer Computer Desk
This mammoth desk has room for all your gear, and you can save even more space by running all your cables through the power hub. A headphone hook and cupholder complete the wish list for any hardcore gamer.
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Challenger 48" Wide PC Gamer Computer Desk
The Challenger boasts a cup holder, charging ports and all the usual gaming bells and whistles. But it also cuts down on clutter with a back panel for the monitor and stabilizer surface underneath the legs.
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Under the hood, the Azio has a PixArt PMW3360 optical sensor and Huano button switches to ensure precise control. The ergonomic design is complemented by a backlit mouse wheel that you can customize in your choice of eight colors.
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Height Adjustable Gaming Chair with Removable Lumbar & Headrest Pillow
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B10 Wired Glass Touch Keyboard
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Anda Seat Axe Series Gaming Chair
Sink into the breathable mesh and PVC leather of this armchair. The adjustable armrests and lumbar support pillows are designed to keep your posture healthy while you game.
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Inebolu is a typical Black Sea port town with many fine examples of traditional Turkish architecture in the Ottoman style. It's large, multi-purpose commercial harbour, can provide shelter for visiting yachts.
Position 41° 58.9’N, 33° 46.7’E.
Port of Entry - all officials located in the S of the harbour.
For the full details on Turkey Formalities go here.
This is a good, sheltered harbour, however watch out for swell in easterly winds and wash from the commercial traffic.
If space is available, alongside berthing is possible on the northern quay (closest to town) at the western end, but beware of the underwater rubble in the corner. It tends to be noisy here with the lorries coming and going.
Alternatively, anchor in mud in the southern half of the harbour, clear of the coatguard's quay. The holding is uncertain.
Last updated October 2009.


Comparison between brute force and parameterized algorithm
Number of vertices (n)
K
T(n,k) Parameterized
T(n,k) Brute Force
PLOT OF DATA


When you’re ready to take the plunge, one of the most helpful ways to contribute to the Xcore open source projects is to actually submit source code. Here’s a step-by-step listing of the things you need to do to make this a successful experience.
Learn at least something about XMOS technology, XC and the Xcore open source projects - there are some pointers in About XMOS Technology. Guidelines and examples of each class of open source repository can also be found in Classes of Repositories.
The Xcore open source project uses git for source code control. The git homepage has installation instructions. If you’re on OS X, use the Git for OS X installer. If you’re unfamiliar with git, there are a variety of resources on the net that will help you learn more:
Unlike many open source projects, the Xcore open source project consist of many repositories of multiple types. We use the Fork-And-Pull model - once you have found one that you are interested in contributing to, you need to create a fork.
Now get busy and add your code to the project (or edit the existing code). You’re on your fork now, so you can write whatever you want. But if you’re planning to submit your change back for inclusion in the Xcore open source projects, keep a few things in mind:
Each repository can be expected to have its own conventions, at least initially. Please be consistent with the conventions already established in any given project. In time, the community may develop more general and more widely applicable guidelines.
First - you need to have filled out and clicked through the contributor license agreement. This protects the community from bogus contributions and ensures that code is safe and easy for everyone to reuse. If you’ve already done this and your latest contribution conforms to the requirements, you can skip this step.
Use (or at least link to) the licenses - there is one for hardware and one for software. Don’t forget to change the copyright to your name or organisation.
For example, if you don’t want to copy the license into the top of your source code, here’s a lightweight alternative:
// Copyright (c) 2011, <insert copyright holder here>, All rights reserved
// This software is freely distributable under a derivative of the
// University of Illinois/NCSA Open Source License posted in
// LICENSE.txt and at <http://github.xcore.com/>
In this case you should also place the appropriate license in a LICENSE.txt file at the root of your repository.
When you’re happy with the code on your computer, you need to do a pull request. This (politely!) asks the maintainer to pull your changes in your fork, into the origin repository.
It’s entirely possible that the feedback you get will suggest changes. Don’t get discouraged: the whole point of contributing to an active open source project is to tap into community knowledge. If people are encouraging you to tweak your code, then it’s worth making the tweaks and resubmitting.


My name is David Perez. I took this course to learn the new paradim of Web Full Stack Development. My main goal is learn as much as possible the Front-End, as well as, Back-End server side. If you have any questions or comments to how improve my knowledge let me know. Thanks and Good Luck.
If you need more information follow up me here: https://www.linkedin.com/in/davedevelopmentusa/


Austin Cox
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You are viewing an historical archive of past issues. Please
report new issues to the appropriate project issue tracker on
GitHub.
Comments
-
Greg Hurrell
Created an attachment (id=1) screenshot showing fault
supplied by user
-
Greg Hurrell
Marking as ASSIGNED.
-
Brian
To answer your questions:
1) Yes, I am using Synergy 1.4 2) Seems to work OK with a differnt user 3) Synergy downloaded art saved at ~/Library/Application Support/Synergy/Album Covers/
All images contained in that folder have a .jpg extension.
-
Brian
Reinstalling Synergy seemed to have fixed the problem.
-
Greg Hurrell
Marking as CLOSED.
Add a comment
Comments are now closed for this issue.


Step 3 of 5
{% if data_security_classification == 'official' or data_security_classification == 'secret' %}
Stop!
Sandbox is only for open data for the time being! We're looking at providing this, but in the meantime please consider alternatives.
{% elif data_security_classification == 'no' %}Good!
Just remember not to put any OFFICIAL data or above in the sandbox!
{% elif data_security_classification == 'no' %}Ok, but bear in mind...
You must not put any OFFICIAL data or above in the sandbox!
{% endif %}


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Visit my blog, see my portfolio, contact me, or enjoy the music.


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{% extends "base.html" %} {% block title %}Profile Generator{% endblock %} {% block head %} {% endblock %} {% block content %}
Select the gender, orientation, age range, and location that matches you.
Based on your parameters, the list of available adjectives will auto-populate.
When done, click 'Generate' for your own customized self summary using Markov Chains.
Next, click to have your profile updated with your great new self-summary.


Asbestos is considered the number one occupational health killer in the second half of 20th Century. Thousands of people die each year from mesothelioma and asbestos related lung cancer as a result of past exposure to asbestos.
HAAPCOL specializes in providing a comprehensive range of asbestos services, which include survey, removal, and disposal of the hazardous substance. This involves establishment of asbestos management programs, to locate and remove the existing asbestos containing materials and to replace them with non-asbestos materials.
Earlier the Council of Ministers had also issued Decision Number 162 (dated 21 /9/1418) for banning the use of asbestos materials and for disposing the existing asbestos containing materials. HAAPCOL, in liaison with a specialized Asbestos Survey organization, performs site surveys and subsequent sampling and analysis of the premises, for the suspected asbestos containing materials (SACM). The asbestos management studies enable the people who control premises to meet their obligations in an efficient and cost effective manner.
Using the most modern technology and equipment, we provide high quality services which include:
Below is the Registered PME (Presidency of Meteorology and Environment) License for HAAPCOL:


--- layout: post status: publish published: true title: VMware Support offline for most of day due to power outage author: display_name: iguy login: iguy email<EMAIL_ADDRESS>url: '' author_login: iguy author_email<EMAIL_ADDRESS>wordpress_id: 365 wordpress_url: http://itsjustanotherlayer.com/?p=365 date: !binary |- MjAxMC0wMi0xOCAwOTowNjo1MiAtMDYwMA== date_gmt: !binary |- MjAxMC0wMi0xOCAxNTowNjo1MiAtMDYwMA== categories: - VMware tags: - disasterrecovery - VMware comments: [] ---
On the 17th of Feb some form of Power Failure occurred at one of VMware's Palo Alto locations. From what I understand this primarily affected the support systems and as such the phones were down for most of the day.
Update 18 Feb 10 @ 8:28pm:
@vmwarecares Network outage here caused by small plane crash in Palo Alto
http://www.cnn.com/2010/US/02/18/texas.plane.crash/index.html?hpt=C1
VMware Support back and up and running by 9pm CST.


JYJ's Junsu reveals sentimental MV for 'When it Snows'
by sl278JYJ's Junsu has gifted fans with a sentimental MV for his song "When It Snows".
The handsome idol star and singer serenades fans in a simple but touching MV. We definitely missed Junsu's honey vocals and are glad to hear them back!
Check out the great song above.


The world of Kaladesh is a living work of art, owing its bright existence to the tangible presence of aether. Aether is the raw magical energy that inhabits the space between planes in the Multiverse. While it's nominally present on many planes, on Kaladesh it's a critical part of the ecosystem. The life-giving energy infuses the natural world, sculpting the earth and waterways, drawing trees and plants into delicate twisting patterns, and attracting wild creatures like a magnetic force.
Ever since the ingenious inventor Avaati Vya developed a process to refine volatile raw aether, it has also been inextricably woven into the world's culture of inspired invention. The Consulate, Kaladesh's governing body, recognized the potential of aether as a fuel and designed distribution methods to ensure that it was accessible to all. Their efforts led to a plane-wide inventors' renaissance, a time of hope, optimism, and boundless creativity. Now, clockwork automotons walk the streets, whirling thopters flit over the markets, and elegant gear-driven mechanisms raise and lower the very streets and buildings of the cities themselves.
As bright and wondrous as Kaladesh is, it still faces its share of strife. A faction known as the renegades believes that the Consulate is infringing on their freedoms. They refuse to adhere to safety regulations and aether quotas, and they undermine the Consulate's efforts to provide structure and lawfulness. But renegade activity aside, this is a time of celebration. The Consulate has recently announced the Inventors' Fair, a month-long festival to celebrate the myriad inventions of the Great Aether Boom. Airships will race, automaton constructs will battle, genius minds will face-off, and elegant design will reign supreme.
The head judge of the fair has installed the meticulous and diligent vedalken Dovin Baan as Senior Inspector, and Dovin has promised that the fair will go off without a hitch. He has recently elicited the help of the Gatewatch to mitigate potential renegade threats. Nothing will stop the people of Kaladesh from basking in the brilliance of their genius creations.
A young dwarf renowned for her talent at the controls, Depala is a pilot with a reputation for pushing the limits. She belongs to the Derby Crows aeronaut society and works with its inventors to continually upgrade her ships, always vying to stay ahead of the competition.
In her youth, Padeem was a daring artificer-duelist. She earned acclaim with her invention of self-repairing armor, which she parlayed into a career in armorcraft. Now in her fifties, the vedalken sits as the Consul of Innovation and shepherds fledgling inventors through the process of development, choosing which ventures the Consulate will fund and pursue.
An incredibly gifted aether-seer, Rashmi's understanding of the interconnectivity of Great Conduit has given her a reputation as something of a mystical figure. She conducts her aetherological research in a massive roving Inquirium, where she strives to unlock the secrets of the Blind Eternities surrounding Kaladesh.
The aetherborn Gonti is Ghirapur's most infamous crime lord. They preside over the city's only permanent night market, where renegades flock to obtain illicit goods and siphoned aether. Gonti entertains visitors and esteemed guests with their state-of-the-art airships, animal construct menagerie, and vast private collection of unconventional inventions.
Oviya believes beauty should be at the heart of every invention. An acclaimed lifecrafter, she spent many years mentoring young artificers. But when she lost her wife, she took to working on her own designs in secret. She hired smugglers, including the Nalaars, to supply her with aether for her ingenious creations.
As Consul of Allocation, Kambal supervises the distribution of aether, but he has brought corruption to his post. He manipulates his connections in the black market, strikes deals with aether siphoners, and has even bargained with the aetherborn crime lord, Gonti. Kambal will exert whatever power necessary to maintain his domain and his fortune.
Pia and Kiran were Planeswalker Chandra Nalaar's parents. When Chandra was young, they were bright, passionate inventors who sympathized with renegade philosophy, believing that creativity should not be stifled. But Captain Baral made an example of them; for the crime of smuggling aether, he torched the entire village where they were hiding, reducing it to ash. When Chandra's Planeswalker spark ignited, she left Kaladesh convinced that her parents had been murdered by the Consulate.
Pia is a notorious Renegade and Planeswalker Chandra Nalaar's mother. Both mother and daughter believed the other to be dead, killed at the hands of Consulate forces long ago. After losing her husband and daughter, Pia went from optimistic young inventor to impassioned revolutionary, vowing to challenge the Consulate and steer it away from tyranny and oppression.
An elf cultivator from the forest region of Peema, Rishkar came to Ghirapur to experience the wonders of the Inventors' Fair. After witnessing the Consulate's crackdown, he found a new purpose; he would fight for free access to aether for all. He has become a fierce advocate of the renegade cause.
Though encouraged by her parents to become an artificer, Kari yearned for more. After her expulsion from her apprenticeship, she ran away. Now, at fifteen, she's returned, a notorious pirate with a pet monkey, Ragavan, riding her skyship, Dragon's Smile. Kari lives for adventure, and is famous for Consulate raids.
The aetherborn Yahenni knows everyone in Ghirapur, or so it's said. Both Consulate and renegade forces come to them for information, and they balance these delicate relationships with ease. Yahenni is charismatic and speaks in hyperbole, and they always know when and where the most interesting social events are happening.
A rarity on Kaladesh, Baral is a mage. The Consulate considers mages to be dangerous and unstable, so Baral keeps his powers secret even as he hunts and arrests other mages. Over a decade ago, he called for the execution of the pyromancer Chandra Nalaar, and was severely burned when she disappeared in a blaze.
Sram relates to machines better than he does to people, and he has an intimate knowledge of every part of the city. As Senior Edificer, it's his job to ensure the harmony of the countless moving parts that make up Ghirapur's intricate infrastructure. Well aware of the weight resting on his shoulders, he's obsessively vigilant.
The largest city on Kaladesh, Ghirapur is a massive cogwork machine that comes alive with the power of aether. The city extends from the port district of Bomat, located at the confluence of Kaladesh's three major rivers, through a multitude of varied and distinct neighborhoods, including the bustling Eleven Bridges market district, the aviaries of Freejam, the metalworking zone of Weldfast, the cosmopolitan greenbelt of Kujar, and the artist colony known as Giants' Walk. Ghirapur was founded on the spirit of invention, and today it is home to the Consulate government, which strives to uphold the founders' principles of optimism, creative freedom, and hope.
Lathnu is a remote settlement in the far north perched high on the Devra Cliffs; it can only be reached via vertical rail track, or a very long and strenuous climb. Lathnu's economy is based around mining and smelting the metals found in the mountains, which inventors throughout Kaladesh depend on to build their wondrous devices.
Spanning tens of thousands of acres, the wild forest of Peema is home to a population of elves who are deeply connected to the flow of aether. Daily, aether streams dip from the aethersphere to wind through the flora and imbue the fauna. The plants and trees are more vibrant in Peema, and the creatures are stronger, faster, and livelier than their counterparts elsewhere on Kaladesh.
An expansive region that was once solely devoted to farming, Vahd took on a new identity during the Great Aether Boom, becoming a hub of the aerowright industry. The wheat fields surrounding the villages of Panka, Cambi, and Maranjapur were cleared away to make room for runways, hangars, and workshops, and many farmers trained to become aerowrights and test pilots.
The humans of Kaladesh are passionate dreamers who strive to achieve the impossible through their inventions. While they are the only race on Kaladesh whose physiology is untouched by the presence of aether, their curiosity and ambition drive innovation, and they excel at synthesizing ideas.
Elves are deeply in tune with the flow of aether and the subtle ways it influences and shapes the natural world. Their inventions are inspired by nature and in turn they inspire others, offering a vision of progress that is elegant, efficient, and harmonious with the Great Conduit's aether patterns.
The blue-skinned, twelve-fingered vedalken are known for becoming deeply engrossed in the theoretical nature of their inventions. They strive for perfection in design, though they readily admit-and rejoice in the fact-that nothing can be perfect. Instead, they delight in iteration and improvement; they're the innovators of Kaladesh.
Dwarves believe that the beauty of an invention is almost as important as its function, and nothing is more beautiful than a device that functions perfectly. These meticulous artisans have an unparalleled work ethic. They rely on proven tools and methods, and they relish in the physical process of construction.
While gremlins lack the hallmarks of a cultured humanoid race, they still play an important role in Kaladesh's society of invention. Driven by their insatiable hunger for aether, they eat through obsolete or defective (or sometimes fully-functional) inventions in order to access the trapped aether within. In this way, they liberate aether back into the environment, allowing it to be used again.
Aetherborn came into being spontaneously as a byproduct of the aether refinement process. Their bodies are in constant flux, as the aether residue they're made of gradually dissolves and is reclaimed by the aethersphere. Thus, their lives are short. But rather than despair, they savor each fleeting moment, squeezing out every last drop of enjoyment.
Dovin has an innate talent, heightened by magic, that allows him to detect all the flaws of any given machine. As a Consulate inspector, he uses his gift to correct faults in new inventions, but there are those who would rather see him use it to exploit weakness.
Cunning and ambitious, Liliana is quietly growing more powerful by the day. And thanks to a contract with some demons, she's not growing any older.
Nissa is an elementalist uniquely and deeply connected to the land; this gives her access to overwhelming power. Though she has a cool, quiet demeanor, she erupts with fervent and powerful passion when the life of a world is threatened.
A fierce competitor, talented metalsmith, and bright spirit, Saheeli is a renowned inventor on Kaladesh. She weaves seemingly endless threads of metal to form wondrous artifacts, and she can compel these lifelike creations to do her bidding.
Compassionate but short-tempered, Chandra ignites with rage-and often flames-whenever freedom is threatened. Her natural pyromantic gifts and her consuming passion make her a fire mage of unparalleled power.
Tezzeret is a power-hungry mage who employs his mastery of magical artifice to forge and command metal constructs. Driven by his quest for perfection and superiority, he enhanced his own body with the magical alloy etherium, which allows him to dominate in physical combat.
Gideon values loyalty and honor above all. He's a tactically minded combat mage with the power of invulnerability, which gives him the edge in almost any battle. A champion for the innocent, he inspires others to follow him in his pursuit of justice.
A brilliant telepath with insatiable curiosity, Jace strives to know all there is to know. His skills in illusion, mind reading, and memory modification make him one of the most talented-and potentially dangerous-Planeswalkers in the Multiverse.


Manage Settings
Allow roles permission to dynamically control the user workflowSuperadmin
Allow Users Settings
Users can invite new users
Users can manage delete & re-invite invited users
Users can manage admin settings
Users can add new categories
Users can add delete & modify category
Users can add new items & utilities
Users can delete & modify items & utilities
Users can add new alerts reports


Linux is an operating system's kernel. You might have heard of UNIX. Well, Linux is a UNIX clone. But it was actually created by Linus Torvalds from Scratch. Linux is free and open-source, that means that you can simply change anything in Linux and redistribute it in your own name! There are several Linux Distributions, commonly called “distros”.
Ubuntu Linux
Red Hat Enterprise Linux
Linux Mint
Debian
Fedora
Linux is Mainly used in servers. About 90% of the internet is powered by Linux servers. This is because Linux is fast, secure, and free! The main problem of using Windows servers are their cost. This is solved by using Linux servers. The OS that runs in about 80% of the smartphones in the world, Android, is also made from the Linux kernel. Most of the viruses in the world run on Windows, but not on Linux!
Linux basic commands
- pwd: Stands for Print working directory. It gives the absolute path, which means the path that starts from the root.
- ls: Gives listing in current directory. You can see all the hidden files by using the command "ls -a".
- cd: Used to navigateion between directories and folders. To go back from a folder to the folder before that, you can type "cd .." . "cd /" takes to root directory.
- cp: Used to copy files. It takes two arguments: The first is the location of the file to be copied, the second is where to copy.
- rm: Used to remove or delete files. Use "rm -r" to delete just the directory.
- mkdir & rmdir: Use mkdir command when you need to create a folder or a directory. Use rmdir to delete an empty directory.
- man & --help: To know more about a command and how to use it, use the man command "man cd". "cd -help" show which ways the command can be used.
- locate: Used to locate a file in a Linux system
- echo: Helps to move some data, usually text into a file. "echo hello, my name is Sowmya >> new.txt"
- cat: Used to display the contents of a file. It is usually used to easily view programs.
- nano, vi: nano and vi are already installed text editors in the Linux command line. nano is a good text editor that denotes keywords with color and can recognize most languages. vi is simpler than nano. You can create a new file or modify a file using this editor.
- df: Used to see the available disk space in each of the partitions in your system.
- du: Used to know the disk usage of a file in your system.
- apt-get: Use apt to work with packages in the Linux command line. Use apt-get to install packages.
- hostname: Use hostname to know your name in your host or network.
How to log into your docker container.
Connecting to a running Docker container is helpful when you want to see what is happening inside the container.
If the Docker container doesn’t work as expected, you can attach to the container or get a shell to the container and run commands such as "ps" or "top". You can also enter the container, install new packages, and build a new Docker image from it.
There is a docker exec command that can be used to connect to a container that is already running.
Use "docker ps" to get the name of the existing container.
Use the command "docker exec -it 'container name' /bin/bash" to get a bash shell in the container
Generically, use "docker exec -it 'container name' 'command'" to execute whatever command you specify in the container.


---
layout: post
title: A Recent Review - Download Free Punk Albums mp3 Blog
date: '2009-08-02T22:32:00.001-05:00'
author: Tom Ray
tags:
- news
modified_time: '2009-08-02T22:32:30.595-05:00'
blogger_id: tag:blogger.com,1999:blog-11319466.post-4637455672606201239
blogger_orig_url: http://www.lorenzosmusic.com/2009/08/recent-review-download-free-punk-albums.html
---
The Download Free Punk Albums mp3 blog featured us on the site recently and had an interesting take on what the band sounded like.
"Lorenzo's Music is one of those odd little creations you find and just don't quite know how to describe. My best attempt would be to say that they feel like a rock and jazz version of cabaret punkers The World/Inferno Friendship Society."Download Free Punk Albums: Lorenzo's Music - Three Albums


DataWinners provides the following features to help you collect data from the field.
Questionnaire Builder
- Turn your list of key questions into an online questionnaire
- Specify the answer type: Text, number, date, multiple choice, etc.
- Set validation criteria to improve accuracy. Example: Answer must be between 1 - 100
- Monitor the SMS character count required to send in answers to key questions
Test Phase
- Experiment in the test phase: Finalize your questionnaire and train your Data Senders
- Send in test answers via:
- SMS using your phone
- Our online telephone emulator
- Internet
- Start collecting real data with an empty database once you activate your project
Multiple Channels: SMS, Internet
- Use either the Internet, SMS or both to collect your data
- Your Data Senders (field staff) can use their personal phone. Even the simplest phones can send data using SMS
- Collect data from the most remote areas
Reminders & Messages
- Send automatic reminders to your Data Senders
- Send your Data Senders automatic success and error messages, e.g. “Congrats Shilpa! We successfully received your data”
Mapping
- See all data collection points accurately displayed on a map
- Filter map based on time period, geographic area, report questions and more
Data Analysis
- Analyze data using spreadsheets and maps
- Perform simple statistical calculations
- Export your data in a single click
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This large commercial port is located on the west coast at the southern end of the island. The yacht marina lies to the east.
Position 26°16′43″N, 127°43′20″E (Ginowan marina)
See Japan Formalities for detailed clearance information.
This port must be visited first to clear into Okinawa.
It is important to call the Coast Guard 24 hours before arrival and fax the required forms to the Coast Guard, Customs and the Naha Port Authority. The Coast Guard will give you the exact GPS location as to where you must wait for officials to board for clearance.
All government officials will want to come on board, so be prepared to fill in a serious amount of paperwork.
In addition, you have to visit the Ministry of Land Office in Naha city to receive permission to enter any closed ports (like Ginowan). It takes 10 - 15 minutes by taxi to get there from the Port. Permission will take at least half a day, so you may have to visit the office twice.
 The commercial port has no suitable berths for yachts.
Last updated March 2016.
The marina at Ginowan lies about 6nm north along the coast and is regarded as a safe typhoon berth. Note the information above, Ginowan is a closed port, so permission to enter must be secured frist from the Ministry of Land office in Naha city.
An alternative, is the smaller marina at Itoman which lies about 10nm south of Naha.
The marina at Kadena (about 12nm north of Naha) is is part of a US Air Base and is only available to US military personnel. There are no guest berths.
Call the Coast Guard on VHF channel 16 to advise them of your entry or exit from the marinas.
To get tax-free diesel, you have to visit the Customs house at Okinawa city (located at the main gate of the US Kadena base).
Last updated March 2016.
The American Seaman's Club, near the small boat harbour in Naha is very helpful. They offer temporary membership and can help find workshops for repairs.


The objectve of the game is to score 20 points
before your opponent does.
The game is played with a single mixed dice
then you continue rolling dice until you are satisified
with the points you have been scored,and end your turn.

You rolled a 1!
Your turn is over.


User login is:
user login here
User role is:
user role here
To update records, check row, input values in cells and press update
| ident | Name | Login | Password | Role | City | Country | Create date | Delete | Update | ||
|---|---|---|---|---|---|---|---|---|---|---|---|
| ident | Name | Login | Password | Role | City | Country | Create date | Action | |||
| id.. | new name here | new login here | new passw here | new email here | new date here |
| Name | Delete |
|---|---|
| Name | Action |


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On Sun, Jul 28, 2019 at 2:53 PM <
<EMAIL_ADDRESS>> wrote:
Hello B,
BLA!
--
Leo Vck
Front


Entry - 4, Date - 18-Sep-2016
Transpiling ES6 into browser compatible code
ES6 is currently not supported by all browsers. A Grunt task can be used to transpile ES6 into browser compatible ES5 using Babel and Browserify.
Babel transpiles next generation java script code (written in ES6/ES7) to older version javascript (ES5) which is suported by all browsers. Thus it allows us to write next generation javascript syntax and functions today even in the absence of complete browser support for these new language features.
However, Babel uses the require() method call to support this modular approach. The require() function call comes from the CommonJs module specification which is implemented by NodeJs. Thus the Babel output is supported by NodeJs, but not by the browsers which don't implement CommonJs specification. Browserify, comes to our aid here - it combines all the module files to one single file and translates the require() calls to browser compatible code.
The Grunt configuration file to acheive this is given below:


{{firstload.title}}
Total Number of Users: {{totalusers}}
Highest Achievement: {{highestpct}}
Currently Online: {{online}}
Other information: can_go_here
{{{achupdate}}}


Boston, MA
Monday to Friday, 6PM to 11PM
Email me for interview
Contact me through email<EMAIL_ADDRESS>or social media
Made by Chen-Yu Chang


< return to staff Education
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| Biography | |
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Vincent is a PhD student in the Department of Materials
Science and Engineering. He joined Prof. Evan Reed’s group in
Fall 2018. Beforehand, he completed a Bachelor’s in
Engineering and a Master’s in Materials Chemistry at the Ecole
Polytechnique in France. His research focus is on the
development of statistical processes to accelerate Molecular
Dynamics (MD) simulations using Kinetic Monte-Carlo
techniques. He is focusing on the evolution of hydrocarbons
systems at high pressure and temperatures.
His previous experiences include doing research with
Prof. Shan Wang at Stanford University to develop a device
capable of detecting circulating tumor cells in the blood. He
also worked as a research intern at Centrillion Biosciences,
Cambridge Nanosystems and in Prof. Patrick Spicer’s group at
the University of New South Wales, Sydney, Australia.
Vincent grew up in France and is enjoying discovering
California. In his free time, he is a big sports enthusiast,
particularly rugby, climbing and soccer. He also likes to go
outdoors on the weekends, traveling abroad during the
holidays and seeing friends in the evenings.
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