| #Allocation |
{{ numAllocations }}
|
| #Deallocation |
{{ numDeallocations }}
|
| Memory Capacity |
{{ memoryCapacity }}
|
|
Peak Heap Usage
high water mark in lifetime
|
{{ peakHeapUsageLifetime }}
|
|
Peak Memory Usage
stack + heap, within profiling window
|
{{ peakMemUsageProfile }}
|


{% load rich_text %} {% load static %}
No submissions yet.
Invalid URL. Please double check that it is correct.


Topicstarter
Hello there, i am from Poland, so i can help you improve polish translation of BBlog.
So there are first things i noticed:
1. The icons marked on red are in English, so there should be:
Weapons - Uzbrojenie
Vehicles - Pojazdy
Awards - Nagrody
If i find more things i write them here.


I don't see my home Wi-Fi network listed as an available network, what should I do?
If you do not see the name of your home Wi-Fi network press the Rescan button at the bottom of the page. If your router is set to a non broadcasting mode select Add a Network and enter the Wi-Fi netork name.


This inspection reports
if
statements that throw a
java.lang.Throwable
when the condition is
true
and don't have an
else
branch.
The quick fix for this inspection offers to replace such
if
with an
assert
statement.


{% extends "base.html" %} {% block stuff %}
To get access to the resources on this site, you first need to log in with the account given to you by your manager.
{% else %}Genomics status displays information from multiple data sources.
Want to see something different here? Let us know on the suggestions page! We're currently collecting feedback on how the homepage should look...
| Project: | Library: | Status: | Days waiting: |
|---|
| Server | Instrument | Disk (Used / Quota) |
|---|---|---|
| {{ server }} | {{ status.get('instrument') }} |
{{ status.get('space_used') }}
{{ status.get('disk_size') }}
|


Detailed course offerings (Time Schedule) are available for
DPHS 201 Planning a Career in Dentistry for the Future (2) Weinstein
Future-oriented overview of important concepts in dental science, contemporary modes of patient treatment, and dental-care delivery systems. Provides firsthand exposure to practice of dentistry and prerequisite materials in oral anatomy, epidemiology, and other basic sciences subjects. Open to all second-, third, and fourth-year undergraduate students. Offered: Sp.
View course details in MyPlan: DPHS 201
DPHS 449 P-Directed Studies in Dental Public Health Sciences (*)
Students and faculty with common academic interests pursue them together within the curriculum by means of independent study and a tutorial student-faculty relationship. Credit/no-credit only. Offered: AWSpS.
View course details in MyPlan: DPHS 449
DPHS 510 Social and Historical Perspectives in Dentistry (2) Chi
Examines dental care problems involving biological, behavioral, and community elements using a problem-based learning approach. Students develop hypotheses regarding nature and complexity of problem, set objectives, seek resources and information, and contribute to development of outcomes. Offered: A.
View course details in MyPlan: DPHS 510
DPHS 531 P-Ethics in Dentistry (2) Coolidge
Seminar improving ethical reasoning skills and conveying ethical and legal standards of the profession. Offered: S.
View course details in MyPlan: DPHS 531
DPHS 535 P-Scientific Literature in Clinical Decision Making (1) Hujoel
Introduction to critical reading of individual articles in professional journals and integrating the findings of several articles. Use of the literature to assist the practicing dentist in making clinical decisions. Offered: Sp.
View course details in MyPlan: DPHS 535
DPHS 550 P-Directed Studies in Dental Public Health Sciences (*, max. 17)
Students and faculty members who have common academic interests can pursue them together within the curriculum by means of independent study and a tutorial student-faculty relationship. Credit/no-credit only. Offered: AWSpS.
View course details in MyPlan: DPHS 550
DPHS 568 Biostatistics in Dentistry (3) Spiekerman
Introduction to concepts and methods of descriptive and inferential statistics with applications in dentistry emphasized. Topics include comparison of means and proportions, hypothesis testing, confidence intervals, non-parametric methods, linear regression, and correlation. Prerequisite: enrollment in School of Dentistry or permission of instructor. Offered: jointly with BIOST 510; S.
View course details in MyPlan: DPHS 568
DPHS 569 Clinical Epidemiology and Study Design in Dentistry (2) Hujoel
An introduction to epidemiological methods as they relate to dental research. Topics covered include the estimation of dental disease occurrence at patient level and site level and the design and analysis of clinical trials with special emphasis on designs unique to dentistry, such as split-mouth designs. Offered: S.
View course details in MyPlan: DPHS 569
DPHS 640 P-Professional Issues: Clinical Management of the Fearful and Phobic (1) Heaton
Introduction to assessment process and treatment strategies for successful management of anxious, fearful, or phobic patient, combined with clinical observation of diagnostic and treatment appointments of active patients. Offered: AWSp.
View course details in MyPlan: DPHS 640
DPHS 650 P-Community Dentistry Clinical Electives (*, max. 12)
Credit/no-credit only.
View course details in MyPlan: DPHS 650
DPHS 660 Dental Fear Clinic (2) Weinstein
Clinical instruction in the care of the severely anxious or phobic adult or child. Strategies from behavioral and cognitive psychology. Prerequisite: graduate standing in dentistry or permission of instructor. Credit/no-credit only. Offered: AWSpS.
View course details in MyPlan: DPHS 660


Tuotetta ei ole järjestelmässä.
Myymälää ei ole järjestelmässä.
Welcome to the iOS-Inspired jQuery Mobile theme by @taitems. Feel free to have a look around and report and bugs to the GitHub issues page.
Does the above look funny? Consider it a bug in jQuery mobile where the classes from the underling <button> are not being attached to the new DOM
This is a completely basic popup, no options set.
This is a completely basic popup, but with an overlay
Saved


{% extends 'private_sharing/authorize-base.html' %} {% block form_content %}
Hide membership If hidden, the project's badge will not appear on your public profile.


{% extends "common/base.html" %} {% block title %}{{title}}{% endblock %} {% block nav_title %}{{title}}{% endblock %} {% block last_nav_link %} {% if final_nav_header == 'signin' %} Login {% else %} {{final_nav_header}} {% endif %} {% endblock %} {% block content %}
Quiz will be conducted once a week on every Friday.
Participants need to participate individually in the quiz and not as a team.
Questions are multiple choice type (MCQs).
Each question has only ONE correct answer.
Winners will be announced on a weekly basis and points will be allocated individually. Points will be given based on the number of correct answers
and early submissions during the day.


{% extends "competition/competition_base_plain.html" %} {% load crispy_forms_tags %} {% block competition_content %}
Please complete the form below to complete your registration.
Huh. Looks like there's no registration form to fill out. Lucky you!
Press the button below to register.


---
layout: page
hero_img: blue_flax_lg.jpg
title: Publications
permalink: /publications/
---
Journal Articles
1. Miller, E.C., Hayashi, K.T., Song, D. & Wiens, J.J. (2018) Explaining the ocean's richest biodiversity hotspot and global patterns of fish diversity. Proceedings of the Royal Society B: Biological Sciences, 285, 20181314. [Article] [The New York Times] [OBIS Use Cases]


Stream Jumper
for Beam.pro
Firebottle.tv
|
Beam Lookup
|
Stream Jumper
|
GitHub
Add Streamer
Add Online Followed
Auto Cleanup
Sounds
Add Them
Close


Have you ever thought that console.frog should be a native browser api, but somehow isn't? Either way, this polyfil is for you!
Have you ever lied in bed awake, wondering why console.log
is so boring? console.frog
is an easy way to spice up your development life. Its really that simple! Runs on vanilla javascript, in most modern browsers (the kind that has developer tools!).
So, here's what regular life looks like:
// Here is you, logging some logs
console.log("Boring.");
// And here is your output.
Boring.
Wow, what a drag that was! No wonder you've become disenchanted with web development and hate every day life!
NOW! Here's what your life could be after console.frog
// Here is happy you, logging some logs
console.frog("Amazing!");
// And here is your output.
_,-. ------------
,-. ,--' o ) -( Amazing! )
\(,' ' ,,-' ------------
,-.\-.__,\\_
\(`--' `\
Wow. That feels good! You can see it in action if you look at the javascript console on this page!
Simply include the console.frog.js
file into your app! You can also check the code out on github!


start-pulseaudio-kde(1) start-pulseaudio-kde(1) NAME start-pulseaudio-kde - PulseAudio Sound Server KDE Startup Script SYNOPSIS start-pulseaudio-kde [pulseaudio options] DESCRIPTION This script starts pulseaudio (if not already running) and loads module- device-manager to use KDE routing policies. All arguments are directly passed to pulseaudio. AUTHORS The PulseAudio Developers <pulseaudio-discuss (at) lists (dot) freedesk‐ top (dot) org>; PulseAudio is available from http://pulseaudio.org/ SEE ALSO pulseaudio(1) Manuals User start-pulseaudio-kde(1)


R’s emphasis on avoiding side effects generally means that if you run the same R code more than once you can be relatively certain that you will get the same result each time. While this is generally true, there are some exceptions. If you evaluate:
x <- x + 5
on the command line, the result will depend on what the value of x
was in the workspace prior to evaluation. Since workspaces are littered with objects from day to day R use tests are better run elsewhere to avoid conflicts with those objects.
There are even more subtle factors that can affect test evaluation. For example, if x
is an S3 object, the packages loaded on the search path could affect the result of the command. Global options could also affect the outcome.
Here is a non-exhaustive list of aspects of state that might affect test outcomes:
Ideally a unit testing framework would nullify these environmental factors such that the only changes in test evaluation are caused by changes in the code that is being tested. unitizer
provides functionality that sets session state to known “clean” values ahead of the evaluation of each test. Currently unitizer
attempts to manage the first six aspects of state listed above.
In order to comply with CRAN policies state management is turned off by default.
unitizer
batch processes all the tests when it is first run before it breaks into interactive mode. It does this to:
The batch-evaluate-and-review-later creates the need for a mechanism to recreate state for when we review the tests. Imagine trying to figure out why a test failed when all the variables may have been changed by subsequent tests. unitizer
will always recreate the state of the variables defined by the test scripts, and can optionally recreate other aspects of state provided that is enabled.
You can turn on the “suggested” state management level to manage the first four elements of state listed in the previous section. To do so, use unitize(..., state='suggested')
or options(unitizer.state='suggested')
. Be sure to read ?unitizerState
before you enable this setting as there are cases when state management may not work.
In order to allow review of each test in its original evaluation environment, each test is evaluated in a separate environment. Each of these environments has for parent the environment of the previous test. This means that a test has access to all the objects created/used by earlier tests, but not objects created/used by subsequent tests. When a later test “modifies” an existing object, the existing object is not really modified; rather, the test creates a new object of the same name in the child environment which masks the object in the earlier test. This is functionally equivalent to overwriting the object as far as the later test is concerned.
For the most part this environment trickery should be transparent to the user. An exception is the masking of ls
and traceback
with versions that account for the special nature of the unitizer
REPL. Another is that you can not remove an object created in an earlier test with rm
(well, it is possible, but the how isn’t documented and you are advised not to attempt it). Here is a more complex exception:
a <- function() b()
NULL # Prevent `a` and `b` being part of the same test
b <- function() TRUE
a()
In this case, when we evaluate a()
we must step back two environments to find a
, but that’s okay. The problem is that once inside a
, we must now evaluate b()
, but b
is defined in a child environment, not a parent environment so R’s object lookup fails. If we remove the NULL this would work, but only because neither the a
or b
assignments are tests, so both a
and b
would be assigned to the environment of the a()
call (see details on tests vignette).
If you are getting weird “object not found” errors when you run your tests, but the same code does not generate those errors when run directly in the command line, this illusion could be failing you. In those situations, make sure that you assign all the variables necessary right ahead of the test so they will all get stored in the same environment.
In the “suggested” state tracking mode unitize
will run tests in an environment that has the same parent as .GlobalEnv
(UnitizerEnv
below):
.GlobalEnv
\
+--> package:x --> ... --> Base
/
TestEnv --> UnitizerEnv
This means that objects in the global environment / workspace will not affect your tests.
Unfortunately implementing this structure is not trivial because we need to ensure UnitizerEnv
stays pointed at the environment just below .GlobalEnv
even as tests modify the search path by calling library
/attach
/detach
, etc. To achieve this unitizer
traces base::library
, base::attach
, and base::detach
when state tracking is enabled and only when unitizer
is running. Any time any of those functions is called, unitizer
updates the parent of UnitizerEnv
to be the second environment on the search path ( i.e. the parent of .GlobalEnv
). So, for example, if a test calls library(z)
, the new search path would look like so:
.GlobalEnv
\
+--> package:y --> package:x --> ... --> Base
/
TestEnv --> UnitizerEnv
Clearly overriding such fundamental functions such as library
/ attach
/ detach
is not good form. We recognize this, and try to do the overriding in as lightweight a manner as possible by tracing them only to record the search path while unitizer
is evaluating. This should be completely transparent to the user. The untracing is registered to the on.exit
of unitize
so the functions should get untraced even if unitize
fails.
Aside from the issues raised above, this method is not completely robust. Any tests that turn tracing off using tracingState
, or themselves trace
/untrace
any of library
/ attach
/ detach
will interfere with unitizer
. If you must do any of the above you should consider specifying a parent environment for your tests through the state
parameter to unitize
(see ?unitize
).
Some functions that expect to find .GlobalEnv
on the search path may not work as expected. For example, setClass
uses topenv
by default to find an environment to define classes in. When setClass
is called at the top level, this normally results in the class being defined in .GlobalEnv
, but if .GlobalEnv
is not available setClass
will attempt to define the class in the first environment on the search path, which will likely be a locked namespace. You can work around this by specifying an environment in calls to setClass
.
Sometimes it is convenient to use the namespace of a package as the parent environment. This allows you to write tests that use internal package functions without having to resort to :::
. You can set the parent evaluation environment with the state
argument to unitize
/ unitize_dir
. See ?unitize
and ?unitizeState
.
If you do use this feature keep in mind that your tests will be directly exposed to the global environment as well since R looks through the search path starting at the global environment after looking in the package namespace and imports (your package code is always exposed to this).
For the most part R is a copy-on-modify language, which allows us to employ the trickery described above. There are however “reference” objects that are not copied when they are modified. Notable examples include environments, reference classes, and data.table
. Since our trickery requires us to keep copies of each object in different environments as they are modified, it does not work with reference objects since they are not automatically duplicated.
The main consequence of this is that when you are reviewing a test that involves a reference object, the value of that reference object during review will be the value after the last reference modification, which may have been made after the test you are reviewing. The tests will still work as they should, passing if you did not introduce regressions, and failing otherwise. However if you review a failed test you may have a hard time making sense of what happened since the objects you review will may not have the values they had when the test was actually run.
When we review unitizer
tests, it is possible to end up in a situation where we wish to update our store by keeping a mix of the new tests as well as some of the old ones. This leads to some complications because in order to faithfully reproduce the environments associated with both the reference and the new tests we would potentially have to store the entire set of environments produced by the test script for both the new and reference tests. Even worse, if we re-run unitizer
again, we run the risk of having to store yet another set of environments (the old reference environments, what were new environments but became reference ones on this additional run, and the new environments created by this third run). The problem continues to grow with as each incremental run of the unitizer
script potentially creates the need to store yet another set of environments.
As a work-around to this problem unitizer
only keeps the environment associated with the actual reference tests you chose to keep (e.g. when you type N
at the unitizer
prompt when reviewing a failed test). unitizer
then grafts that test and its environment to the environment chain from the newly evaluated tests (note that for all tests that pass, we keep the new version of the tests, not the reference one). This means that in future unitizer
runs where you examine this same reference test, the other “reference” objects available for inspection may not be from the same evaluation that produced the test. The ls
command will highlight which objects are from the same evaluation vs which ones are not (see the discussion on ls
).
This is not an ideal outcome, but the compromise was necessary to avoid the possibility of ever increasing unitizer
stores. For more details see ?"healEnvs,unitizerItems,unitizer-method"
.
One other way tests can change behavior unexpectedly is if the packages / objects attached to the search path change. A simple example is a test script that relies on package “X”, and the user attached that package at some point during interactive use, but forgot to add the requisite library
call to the test script itself. During testing, the scripts will work fine, but at some future date if the test scripts are run again they are likely to fail due to the dependency on the package that is not explicitly loaded in the test scripts.
In the “suggested” state tracking mode unitizer
runs on a “trimmed” search path that contains only the packages loaded by in a freshly loaded R session (i.e. the packages between package:base
and package:stats
; see ?unitizerState
). You will need to explicitly load packages that your tests depend on in your test file (e.g. by using library()
). unitize
will restore the search path to its original state once you complete review.
unitizer
also relies on tracing library
/attach
/detach
to implement this feature, so the caveats described above apply equally here. unitizer
does not modify the search path itself other than by using library
, attach
, and detach
.
When search path tracking is enabled, unitizer
tracks the versions of the packages on the search path. If tests fails and package versions on the search path have changes since the reference test was stored, you will be alerted.
When unitizer
manipulates the search path it restores the original one by using library/attach
on any previously detached objects or packages. This generally works fine, but detaching and re-attaching packages is not and cannot be the same as loading a package or attaching an environment for the first time. For example, S3 method registration is not undone when detaching a package, or even unloading its namespace. See discussion in ?detach
and in ?unitizerState
.
Another good example of problematic behavior are attaching environments that contain references to themselves, as the tools:rstudio
environment attached by Rstudio
does. It contains functions that have for environment the tools:rstudio
environment. The problem is that once that environment is detached from the search path, those functions no longer have access to the search path. Re-attaching the environment to the search path does not solve the problem because attach
attaches a copy of the environment, not the environment itself. This new environment will contain the same objects as the original environment, but all the functions therein will have for environment the original detached environment, not the copy that is attached to the search path.
There are a few possible solutions to this problem. For now we have adopted the simplest which is to keep the tools:rstudio
environment on the search path even search path tracking is enabled (you can over-ride this by changing search.path.keep
, or, if you have environments on your search path with similar properties, add their names to search.path.keep
). Other options include re-attaching with parent.env<-
instead of attach
, but messing with the search path in that way seems to be exactly what R core warns about in ?parent.env
:
The replacement function parent.env<- is extremely dangerous as it can be used to destructively change environments in ways that violate assumptions made by the internal C code. It may be removed in the near future.
Another possibility would be to re-set the environments of functions inside detached environments that have for parent the detached environment, but we do not do this currently.
unitizer
can track and reset global options. Because many packages set options when their namespaces are attached, implementation of this feature must be coordinated with a careful management of loaded namespaces. For example, we can reasonably easily set options to be what you would expect in a freshly loaded vanilla R session, but if some namespaces as otherwise they would be in a compromised set with their options wiped out.
unitizer
can manage search paths and namespaces, but unfortunately some package namespaces cannot be unloaded so options management can be problematic when such packages are involved (one example is data.table
). Because of this options management is not enabled in the “suggested” state management mode.
Note that no matter what tests are always run with options(warn=1)
and options(error=NULL)
.
See ?unitizer.opts
for more details.
See ?unitizerState
.
See ?unitizerState
.


Vaibhav Joshi
Security Consultant | Bug Bounty Hunter | CTF Player | Penetration Tester
Certifications
Offensive Security EC-Council Qualys Inc.- Vulnerability Management
- Web Application Scanning
- Policy Compliance
- PCI Compliance
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- Introduction Badge
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- Essential Badge
- Serialize Badge
- PCAP badge
- White Badge
- Certified Ethical Hacking & Penetration Testing Expert
- Certified Linux Server Administrator
- Certified Windows Server Administrator
- Network Security Associate - NSE1
- Network Security Associate - NSE2
- Cyber Security
About Me
Cyber Security Consultant with skills in Web Application Testing, Network Penetration Testing, Mobile Application Testing, Red teaming, Python programming. Currently learning about source code review of Java, C#, Node.JS, PHP.
Profiles
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Skills
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Reject unknown local users
local_recipient_maps
This parameter specifies optional lookup tables with all users that are local
with respect to $mydestination ("what domains to receive mail
for")and $inet_interfaces ("network interfaces for receiving
mail") . If this parameter is defined, then the SMTP server will reject
mail for unknown local users.
Put tables with bare usernames such as unix:passwd.byname and alias
maps. Example: $alias_maps unix:passwd.byname.
Beware: if the Postfix SMTP server runs chrooted, you may have to
copy the passwd database into the jail. This is system dependent.


Open Problem - Optimal Query Release for Pure Differential Privacy
Releasing large sets of statistical queries is a centerpiece of the theory of differential privacy. Here, we are given a dataset \(x = (x_1,\dots,x_n) \in [T]^n\), and a set of statistical queries \(f_1,\dots,f_k\), where each query is defined by some bounded function \(f_j : [T] \to [-1,1]\), and (abusing notation) is defined as \[ f_j(x) = \frac{1}{n} \sum_{i=1}^{n} f_j(x_i). \] We use \(f(x) = (f_1(x),\dots,f_k(x))\) to denote the vector consisting of the true answers to all these queries. Our goal is to design an \((\varepsilon, \delta)\)-differentially private algorithm \(M\) that takes a dataset \(x\in [T]^n\) and outputs a random vector \(M(x)\in \mathbb{R}^k\) such that \(\| M(x) - f(x) \|\) is small in expectation for some norm \(\|\cdot\|\). Usually algorithms for this problem also give high probability bounds on the error, but we focus on expected error for simplicity.
This problem has been studied for both pure differential privacy (\(\delta = 0\)) and appproximate differential privacy (\(\delta > 0\)), and for both \(\ell_\infty\)-error \[ \mathbb{E}( \| M(x) - f(x)\|_{\infty} ) \leq \alpha, \] and \(\ell_2\)-error \[ \mathbb{E}( \| M(x) - f(x)\|_{2} ) \leq \alpha k^{1/2}, \] giving four variants of the problem. By now we know tight worst-case upper and lower bounds for two of these variants, and nearly tight bounds (up to logarithmic factors) for a third. The tightest known upper bounds are given in the following table.
| Pure DP | Approx DP | |
| \( \ell_2 \) error |
\( \alpha \lesssim \left(\frac{\log^2 k ~\cdot~ \log^{3/2}T}{\varepsilon n} \right)^{1/2} \) [NTZ13] |
\( \alpha \lesssim \left(\frac{\log^{1/2} T}{\varepsilon n} \right)^{1/2} \) [DRV10] |
| \( \ell_\infty \) error |
\( \alpha \lesssim \left(\frac{\log k ~\cdot~ \log T}{\varepsilon n} \right)^{1/3} \) [BLR13] |
\( \alpha \lesssim \left(\frac{\log k ~\cdot~ \log^{1/2} T}{\varepsilon n} \right)^{1/2} \) [HR10, GRU12] |
The bounds for approximate DP are known to be tight [BUV14]. Our two open problems both involve improving the best known upper bounds for pure differential privacy.
Open Problem 1: What is the best possible \(\ell_\infty\)-error for answering a worst-case set of \(k\) statistical queries over a domain of size \(T\) subject to \((\varepsilon,0)\)-differential privacy?
We conjecture that the known upper bound in the table can be improved to \[ \alpha = \left(\frac{\log k \cdot \log T}{\varepsilon n} \right)^{1/2}, \] which is known to be the best possible [Har11, Theorem 4.5.1].
Open Problem 2: What is the best possible \(\ell_2\)-error for answering a worst-case set of \(k\) statistical queries over a domain of size \(T\) subject to \((\varepsilon,0)\)-differential privacy?
We conjecture that the upper bound can be improved to \[ \alpha = \left(\frac{\log T}{\varepsilon n} \right)^{1/2}. \] The construction used in [Har11, Theorem 4.5.1] can be analyzed to show this bound would be tight. Note, in particular, that this conjecture implies that the tight upper bound has no dependence on the number of queries, similarly to the case of \(\ell_2\) error and approximate DP.
[cite this]


<EMAIL_ADDRESS>High Performance Computing
External
|
Internal
|
# Use latest base image
FROM rbs/base-jdk:8
MAINTAINER<EMAIL_ADDRESS># install dependencies
RUN yum install maven
# Set Environment variables
ENV WILDFLY_VERSION 9.0.0.Final
ENV JBOSS_HOME /opt/jboss/wildfly
# Add the WildFly distribution to /opt, and make wildfly the owner of the extracted tar content
RUN cd $HOME && curl http://download.jboss.org/wildfly/$WILDFLY_VERSION/wildfly-$WILDFLY_VERSION.tar.gz | tar zx && mv $HOME/wildfly-$WILDFLY_VERSION $HOME/wildfly
# Expose the ports we're interested in
EXPOSE 8080
# Set the default command to run on boot
CMD ["/opt/jboss/wildfly/bin/standalone.sh", "-b", "<IP_ADDRESS>"]
Control groups limit the resources each container has access to.
CPU, memory, disk IO, network IO
| Physical | |||
| Performance | |||
| Utilisation | |||
| Lead Time | |||
| Management | |||
| Agility |
| Physical | Virtual | ||
| Performance | |||
| Utilisation | |||
| Lead Time | |||
| Management | |||
| Agility |
| Physical | Virtual | Container | |
| Performance | |||
| Utilisation | |||
| Lead Time | |||
| Management | |||
| Agility |
Manage a cluster of linux containers as a single system to accelerate Dev and simplify Ops
1 or more containers
Share volumes, localhost etc.
Routable, IP address
Limit Resources
Ephemeral.
Ensures correct Pods are running
Scaling
Deployment Strategies
Stable, Virtual IP address that load balances across running Pods
Add arbitrary key/value pairs to any object
name=myapp, env=prd, version=1234
Services and Replication controllers use Selectors to select correct pods
apiVersion: v1
kind: ReplicationController
metadata:
name: helloworld-1
spec:
template:
metadata:
labels:
name: helloworld
version: version-one
spec:
containers:
- name: helloworld
image: craigmunro/centos-node-hello:1.0
ports:
- containerPort: 8080
resources:
limits:
cpu: 250m
memory: 256Mi
livenessProbe:
tcpSocket:
port: 8080
timeoutSeconds: 1
initialDelaySeconds: 5
nodeSelector:
region: primary
selector:
name: helloworld
version: version-one
replicas: 1
apiVersion: v1
kind: Service
metadata:
name: helloworld
spec:
ports:
- port: 8080
targetPort: 8080
protocol: TCP
selector:
name: helloworld
A template describes a set of objects (Services, Pods, etc) that can be parameterized and processed to create complete applications in OpenShift.
Automatically build application code and combine with centrally managed platform images


GNOME Photos is a great photo viewer. You can access, organise, and share your photos on GNOME! You are able to to enhance, edit and crop your photos in a snap!
GNOME Photos is a great photo viewer. You can access, organise, and share your photos on GNOME! You are able to to enhance, edit and crop your photos in a snap!


Glossary of terms
The following terms are related to cooperative game theory and cooperative economics. Definitions are drawn from A Cooperative Species : Human Reciprocity and Its Evolution By Samuel Bowles & Herbert Gintis, 2011 (pdf).
This document is for educational purposes only.
Noncooperative games
Cooperation is possible in non-cooperative games but is achieved only by players playing rational strategies, based on self-interest, only. This type of cooperation is perhaps more accurately deemed "coordination." In noncooperative games it is not possible to coordinate through agreements or enforcement.
Cooperative games
In cooperative games it is possible to make a binding agreement. Agreement can be tacit or explicit. What makes it possible to bind the agreements is some mechanism (possibly outside the game) that enforces the agreement and makes them have consequence, such as
- being enforced by a third party, or
- a code of conduct that is respected by each participant.
Cooperative games can utilize noncooperative mechanisms (that are coordinated purely on the basis of self-interest), and in addition can also use mechanisms that are not allowed in noncooperative games based on agreement. Rules may be encoded in cultural institutions, or agreed upon via social norms that may be understood but not written down anywhere. Conduct may be enforced either by a third party (such as a police force), or by members of the group (such as individuals acting on their own conscience, or by members of the group that take it upon themselves to enforce group norms).
Evolutionary games
The key idea in evolutionary game theory is differential replication over many rounds rather than best response over one or more rounds.
Successful strategies in an evolutionary game are those that make more than the average number of replicas in the next period either because
- they are favored in the process by which people learn new strategies, or
- the genotypes expressing the strategies are induced to proliferate by the process of natural selection.
Coordinating device
Also known as a coordinating signal, this is a mechanism that coordinates the behavior of cooperative agents. Examples:
- Traffic signal
- Social emotions
- Police force
A correlating device is something that sends out signals, private or public, to the players of a game, indicating which strategy each should play. The idea is that each player chooses their action according to their observation of the value of the same public signal.
In game theory a correlated equilibrium is a situation in which there is a correlating device such that, if all players follow the advice of the correlating device, no player can do better by switching to an alternative strategy.
A correlated equilibrium is more general than the well known Nash equilibrium. It turns out that correlated equilibria are computationally more practical to work with. Recent advances in algorithmic game theory indicate that based on computational feasibility correlated equilibrium is the better choice for game theory in general.
Self-interest axiom
The self-interest axiom says that people seek to maximize their expected payoffs and believe that others do the same
Sometimes this axiom is defended as being self-evident, with the fallback assertion being that natural selection could not have produced any other kind of preferences.
“The first principle of economics is that every agent is actuated only by self interest” (1881). -- F. Y. Edgeworth, a founder of neoclassical economics
Cooperative economics questions this assertion, claiming that while self-interest is a good explanation of some human behavior, it cannot explain all human behavior.
Alice, Bob, and Carol
Alice and Bob are fictional characters commonly used as placeholder names in economics and game theory.
Free riders
A person free rides if he benefits from the contributions of other group members while himself contributing less or nothing at all. A shirker is an otherwise trustworthy group member who temporarily avoids performing their civic duty. Shirking is a milder form of free riding.
Reciprocity
Strong reciprocity
Strong reciprocity is when people sacrifice their own payoffs in order to cooperate with others, to reward the cooperation of others, and to punish free-riding, even when they cannot expect to gain from acting this way. The term “strong” intended to distinguish this set of preferences from entirely amoral and self-regarding reciprocation that would not be undertaken in the absence of some payback.
Indirect reciprocity
Indirect reciprocity occurs when Carole is likely to punish Alice when Alice has been unfair to Bob, and is likely to reward Alice when Alice has been nice to Bob.
Strategic reputation-building
Strategic reputation-building occurs when Carole behaves cooperatively only when her actions are seen by others, and hence can help build a reputation for social behavior.
Altruism
Because the strong reciprocator would increase his game payoffs by not cooperating, the motives for behaving this way are considered to be "altruistic". This does not necessarily mean "kind" -- a group member that is punishing a second individual for violating group norms might use violent means to do so -- the altruism here is for the benefit of the group, not the individual being punished.
Preferences, Beliefs, and Constraints
The beliefs, preferences, and constraints model is a key tool in economics and decision theory. According to this approach, what individuals do when restricted to a specific set of feasible actions depends on their desires and goals on the one hand, and their beliefs on the other.
Constraints represent the limitations placed on the feasible actions an individual may take in a given situation.
Beliefs are an individual’s representation of the causal structure of the world, including the relationship between the individual’s actions and the probabilities of the various possible resulting outcomes.
Preferences are the pro or con sentiments that make up the individual’s valuation of the various possible outcomes of taking an action. Preferences may be described as a preference function giving an ordering of the states of the world that may result from one’s actions.
Preferences satisfy two conditions:
- they are complete (any two states can be compared) and
- transitive; that is, consistent, so that if one prefers A to B and B to C, one then prefers A to C.
Preferences are the results of a variety of influences: tastes (food likes and dislikes, for example), habits, emotions (such as shame or anger) and other visceral reactions (such as fear), the manner in which individuals construe situations (or more narrowly, the way they frame decisions), commitments (like promises), internalized norms of ethical behavior, psychological propensities (for aggression, extroversion and the like), and affective relationships with others.
An individual’s behavior can be succinctly and analytically summarizes as maximization of a preference function.
To say that individuals act on their preferences means that knowledge of these preferences provides a concise and accurate account of their actions, given their beliefs and constraints .
A version of the beliefs, preferences, and constraints model, incorporating the behavioral assumptions sometimes summarized as Homo economicus, has become standard not only in economics but throughout the human behavioral sciences.
Self-interest need not be part of the preferences, beliefs, and constraints approach. Preferences could be altruistic or even masochistic.
Social Preferences and Social Dilemmas
Social preferences are defined as the concern for the well-being of others and a desire to uphold ethical norms.
Self-regarding preferences
Self-regarding preferences are based on states concerning oneself alone. Self-regarding preference can be hard to detect, but can surface in some ways, for example by someone experiencing anxiety in a culturally unfamiliar interaction.
Other-regarding preferences are based at least in part on states that occur to others, valuing the well-being of other people in the group. An other-regarding player cares about not only his own payoff, but that of other people as well.
Ethics vs Morals
Ethics and morals both relate to “right” and “wrong” conduct. Ethics refer to rules provided by an external source, such as workplace rules or religious principles. Morals refer to an individual's own principles regarding right and wrong.
Ethical commitments may reflect a concern for the states experienced by others, but need not.
- One can be honest because one seeks to avoid imposing costs on others by deceiving them.
- Honesty could be entirely self-regarding, practiced in order to be the kind of person one wants to be.
- The textbook “economic man” would be described not only as self-regarding, but as amoral as well.
- self regarding is defined a amoral and self-interested.
Self-esteem is dependent in part upon what others think of us. We attempt to favorably impress others as a means of raising our subjective self-esteem.
Having social preference means being “unselfish” and “non-self-interested”.
Examples of games
dictator game: Alice gives a certain amount of money to Bob, who has no say in the matter.
third-party punishment game
Games typically have multiple variants that can tease out nuances in behavior. There is a variant on the dictator game that proceeds as follows:
- Carole, the “third party,” has an endowment of 50 tokens and observes Alice’s transfer.
- After this Carole can assign punishment points to Alice.
- Each punishment point assigned to Alice costs Carole one token and Alice incurs a penalty of three tokens.
- Because punishment is costly, a self-regarding Carole will never punish.
- However, if there is a sharing norm, Carole may well punish Alice if she gives too little.
trust game :
- Alice is awarded a sum of money and given the opportunity to transfer any amount of it to Bob, knowing that the experimenter will triple the amount transferred (if Alice gives x, Bob receives 3x).
- Bob then has the opportunity to return some of this augmented sum to Alice.
- This ends the game.
Alice is sometimes called the “truster” or “investor,” and Bob the “trustee.”
Social dilemmas
These are interactions in which the uncoordinated actions of individuals result in an outcome that is Pareto inefficient, meaning that there exists some other feasible outcome such that at least one member could be better off while no member would be worse off.
Examples of social dilemmas modeled by game theorists are
- the prisoner’s dilemma,
- the public goods game, sometimes termed an n-person prisoner’s dilemma,
- war of attrition and other arms race interactions,
- the tragedy of the commons and the common pool resource game in which contributing to the common project takes the form of forgoing the overexploitation of a jointly utilized resource such as a fishery, water supply, or forest.
Social preferences convert a prisoner’s dilemma material payoff structure into what is called an assurance game payoff structure — each player will cooperate if assured that the other will cooperate as well, and will not if not. Mutual cooperation and mutual defection are both Nash equilibria. Which of the two Nash equilibria will obtain depends on the players’ beliefs about what the other will do.
The private nature of signals is what makes The Prisoner’s Dilemma a dilemma.
Robert Aumann won the Nobel prize in 2005 (shared with Thomas Schelling) for contributions to game theory. He showed that co-operation is less likely
- when there are many participants,
- when interactions are infrequent,
- when the time horizon is short or
- when others' actions cannot be clearly observed.
Genes, Culture, Groups, and Institutions
According to gene-culture coevolution, human preferences and beliefs are the product of a dynamic whereby genes affect cultural evolution and culture affects genetic evolution, the two being tightly intertwined in the evolution of our species
Reproductive leveling
Reproductive leveling contributes to the evolution of altruism because it helps prevent altruists being starved of critical resources. Altruists do the right thing at some cost to their own self-regard; therefore, they can end up losing ground in evolutionary games.
Individual differences in size, health, information, behavior, and other influences on access to scarce resources affect reproductive success.
Among some other primates and especially among humans, reproductive leveling attenuates this relationship. Because altruists receive lower payoffs than other group members, they benefit from reproductive leveling because this attenuates the within-group selective pressures working against them.
Parochialism
Parochialism as defined in this book means religious intolerance, racism, xenophobia, which vary across cultures and over time.
Punisher
An altruistic group member that enforces group norms, possibly at some cost to their own self-interest.
Cooperative Nonpunisher
A Cooperative Nonpunishers cooperates to the extent that they abide by group norms, but do not do their part in punishing defectors (free-riders or shirkers).
Opportunists
Opportunists are group members that normally cooperate and normally will do their part to do the dirty work as Punisher; however, when they see an opportunity to get away without having to do some work without being noticed, they attempt to do so.
Second-order free-rider
This is where individuals who cooperate but do not punish outcompete the Punishers. The math says that there must be enough Punishers in the group to tolerate Cooperative Nonpunishers.
Primers
Agent-based modeling
This is a tool for analyzing complex dynamical systems as a complement to explicit mathematical analysis where the latter is either impossible or uninformative.
- In these models, the actors are individual agents who share many characteristics, but differ on key characteristics that affect their relative reproductive success, material payoffs or other results that affect the differential replication of distinct types of individuals.
- The agents operate semi-autonomously, but are linked through a network of structured interactions.
- The individual characteristics in a complex system evolve through a process of replication, mutation, and finally selection that favors relatively successful individuals.
- Such dynamics are recursive, meaning that changes in one period become the basis for changes in future periods,
- Such dynamics are non-linear, which implies that forces propagate through the system in an uneven and variably dampened or amplified manner, with the implication that they are generally incapable of being expressed as closed-form analytical solutions to sets of equations.
Such modeling (often called “simulation”) lies outside the two standard methods of gaining scientific knowledge: deduction and induction.
- Deduction means proving theorems, that is, showing that certain mathematical conclusions follow from certain axioms.
- Induction means finding lots of evidence and drawing conclusions
Agent-based modeling is like deduction in that it starts with a rigorously specified computer program, but it is like induction in that it treats the operation of the program as a set of data points from which generalizations can be made.
If a complex system has emergent properties, these can be ascertained by implementing an agent based model in which these properties are seen and persist over many simulations.
How do we judge the empirical adequacy of an agent-based model?
- one can ensure that the parameters chosen are empirically plausible for the populations under study.
- Sensitivity analysis: check how much difference variations in the parameters make for the results of the simulation.
- On the basis of this sensitivity analysis then spend special attention making sure that the parameters that matter are well estimated.
- Exploit the fact that while the processes under investigation are unknown (which is why we are simulating them), that the following hold:
- The simulations generate a large number of by-product statistics on aspects of the relevant populations on which we do have some knowledge.
- Thus we can ask whether the results of the simulation conform to known facts about the populations under study. Meaning, they have some predictive appeal -- the hypothesis is that their data will match that of the real system in 2nd and 3rd order effects not just the immediate.
- Where the models have generated implausible by-product statistics, diagnose the source of the problem and recalibrate.
Game Theory
Game theory is a mathematical tool for the study of strategic interactions where payoffs of individuals depend on their own actions and the actions taken by others.
On strategy
A player's strategy is any of the options he or she can choose in a setting where the outcome depends not only on their own actions but on the action of others.
A pure strategy determines all your moves during the game, and should therefore specify your moves for all possible other players' moves.
A mixed strategy is a probability distribution over all possible pure strategies, some of which may get zero weight.
A state is a Nash equilibrium if every player’s choice is a best response to the choices of the other players. The choices of all other players are public, known to and understood by every other player.
A dominant strategy offers a higher payoff than any other strategy, no matter what the other players do.
A non-strategic behavior means that it would be considered non-rational according to neoclassical models based on non-cooperative game theory.
Repeated games
A stage game of the repeated game is repeated indefinitely, with a positive probability of terminating the process at the end of each period
The most important fact about the repeated game based on stage game G is that it can support cooperative equilibria in situations where G cannot.
Adaptive agents in evolutionary games
Adaptive agents in evolutionary games adopt behaviors in a manner similar to the way people come to have a particular accent or to speak a particular language, by repeated trial-and-error, possibly by supervised learning, more commonly by reinforcement learning.
Forward-looking payoff-based calculation is not entirely absent. For example those aspiring to upward mobility may adopt upper class accents. But in evolutionary theories of adaptive agent behavior, conscious optimizing is not the whole story.
Example: The answer to “why do you talk that way?” is generally “because this is how people talk where I come from” not “because I considered all the ways of speaking and decided that speaking this way best serves my personal goals,” although it may be for some individuals.
Dynamical Systems
There are two major types of dynamical systems:
- a continuous time system using differential equations, and
- a discrete time system using Markov chains
An equilibrium of this dynamical system, also called a critical point or fixed point, or stationary point. at an equilibrium, dx=dt = dy=dt = 0, so the dynamical system remains forever at (x; y) once it reaches there. Under what conditions does a dynamical system move toward an equilibrium?
Very few dynamical systems, even simple ones in two dimensions, can be solved analytically, so the paths x(t) and y(t) cannot be written in closed form. Nevertheless, there are well-developed methods for determining when an equilibrium is stable, unstable, or neutrally stable, using tools from algebra and calculus
Markov Chain
A finite Markov chain is a dynamical system that can be in any of n states (s1, …, sn), and if the system is in state i in time period t, it will be in state j in time period t+1 with probability pij . Of course, for this to make sense, we must have pij ≥ 0 for all i, j = 1, …, n, and Sumnj=1 (pij) = 1. Statistical estimates of these probabilities, based on thousands of implementations of our model, for example, are the basis of our calculation of the vector field ... giving the movement of the population among the states indicating various frequencies of altruists and of parochials.
When a Markov chain has the property that the average fraction of time in each state in the long run is independent from the starting state, we say the system is ergodic, and we call the resulting long-run distribution of probabilities the stationary distribution of the Markov chain.
The Replicator Dynamic
The most natural dynamic to apply to an evolutionary game is the replicator dynamic
it can be shown that every equilibrium of an evolutionary game under the replicator dynamic is a Nash equilibrium of the stage game. This shows that the Nash equilibrium criterion remains powerful even without assuming that players are rational (i.e., that they choose best responses) or coordinated.
Maynard Smith developed the stronger notion of an evolutionarily stable strategy: i.e., a whole population using that strategy cannot be invaded by a small group playing any other strategy.
Part 0 : Overview of 14 key lessons of cooperative economics.
Part 1 : Overview of competing alternatives.
Part 2 : Failures of non-cooperative theory.
Part 3 : Evolutionary economics, rise of institutions, and the co-evolution of genes and culture.
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Assignments¶
The Assignments dataframe is used as the input for the createCesium()
function to
generate time-dynamic visualization of vehicle routes on a 3D map.
While there is no “standard” function for generating all of the rows of
an Assignments dataframe, VeRoViz does provide some functions that
can be used to construct individual rows of the dataframe. Users may
then append these rows into an Assignments dataframe. For example,
getShapepoints2D()
returns an assignment
dataframe describing the detailed navigation on a road network between
a pair of origin/destination locations. By iteratively calling that function
for all O/D pairs of a route, a complete assignments dataframe can be constructed.
Similarly, getShapepoints3D()
returns
an assignment dataframe describing the flight profile/path for aircraft
(e.g., drones) for a given O/D pair.
A blank/empty Assignments dataframe can be created by initDataframe()
.
Field Name |
Data Type |
Description |
|---|---|---|
odID |
int |
odID is an abbreviation for “origin/ destination identifier”. It is a group identifier. Arc segments which are part of the same origin/destination share the same odID. |
objectID |
string |
Identifier for each object (e.g. truck, package, drone, etc.) shown in Cesium. |
modelFile |
string |
The 3D model used for the object. See Cesium Style for a list of available 3D Cesium models . You can also generate your own gltf files. |
modelScale |
int |
The scale of Cesium 3D model in percent. |
modelMinPxSize |
int |
The minimum pixel size of Cesium 3D model |
startTimeSec |
int |
In a sequence of coordinates that navigates between origin and destination, the time to arrive at the start coordinate ([startLat,startLon]). |
startLat |
float |
Latitude of the start of the arc, in [degrees]. 0-degrees latitude is the equator. Negative latitudes are south of the equator; positive latitudes are north. The range is from -90 to +90. |
startLon |
float |
Longitude of the start of the arc, in [degrees]. 0-degrees longitude is Greenich, England. Negative longitudes are west of Greenich; positive longitudes are east. The range is from -180 to +180. |
startAltMeters |
float |
Altitude of the object at the start time, in units of [meters above ground level] (AGL). |
endTimeSec |
int |
The arrival time (in seconds) to this coordinate ([endLat,endLon]). |
endLat |
float |
Latitude of the end of the arc, in [degrees]. The range is from -90 to +90. |
endLon |
float |
Longitude of the end of the arc, in [degrees]. The range is from -180 to +180. |
endAltMeters |
float |
Altitude of the object at the end time, in units of [meters AGL]. |
leafletColor |
string |
Color of the arc when displayed in Leaflet. See Leaflet Style for options of colors. |
leafletOpacity |
float in [0, 1] |
Amount of transparency for the arc. A value of 1 indicates no transparency; 0 indicates completely transparent. |
leafletStyle |
string |
Styling of the line, valid options are “solid”, “dotted” or “dashed”. See Leaflet Style for more details |
leafletCurveType |
string |
The type of curve to be shown on a leaflet map for :ref:Arc dataframes (curves will not be applied to :ref:Assignments dataframes). The options are ‘Bezier’, ‘greatcircle’, and ‘straight’. If Bezier is provided, the leafletCurvature is also required. If greatcircle is provided, the arc follows the curvature of the Earth. |
leafletCurvature |
float in (-90, 90) |
If leafletCurveType is ‘Bezier’, then leafletCurvature is required; otherwise this argument will not be used. The curvature specifies the angle between a straight line connecting the two nodes and the curved arc emanating from those two nodes. Therefore, this value should be in the open interval (-90, 90), although values in the (-45, 45) range tend to work best. |
useArrows |
bool |
True if the arrows will be used when creating Leaflet map, False otherwise. |
cesiumWeight |
int |
Pixel width of the line/arc. |
cesiumColor |
string |
Color of the arc when displayed in Cesium. See Cesium Style for color options. |
cesiumOpacity |
float in [0, 1] |
The amount of transparency for the arc. A value of 1 indicates no transparency; 0 indicates completely transparent. |
cesiumStyle |
string |
Styling of the line, valid options are “solid”, “dotted” or “dashed”. See Cesium Style for options. |
cesiumWeight |
int |
Pixel width of the line/arc. |
ganttColor |
string |
The color to be displayed for this assignment in a Gantt chart. See the ganttColor() function for details, and see Cesium Style for color options. |
popupText |
string |
Text (or HTML) that will be displayed when a user clicks on the arc in Leaflet or Cesium. |
startElevMeters |
float |
Elevation of the start point, in units of meters above ground level. |
endElevMeters |
float |
Elevation of the end point, in units of meters above ground level. |
wayname |
string |
Name of the road segment between start and end points. |
waycategory |
string |
Classification of the road segment. May include: ‘No category’, ‘Highway’, ‘Steps’, ‘Ferry’, ‘Unpaved road’, ‘Track’, ‘Tunnel’, ‘Paved road’, or ‘Ford’ |
surface |
string |
Classification of the ground surface of the road segment. May include: ‘Unknown’, ‘Paved’, ‘Unpaved’, ‘Asphalt’, ‘Concrete’, ‘Cobblestone’, ‘Metal’, ‘Wood’, ‘Compacted Gravel’, ‘Fine Gravel’, ‘Gravel’, ‘Dirt’, ‘Ground’, ‘Ice’, ‘Paving Stones’, ‘Sand’, ‘Woodchips’, ‘Grass’, or ‘Grass Paver’. |
waytype |
string |
Classification of the road segment. May include: ‘Unknown’, ‘State Road’, ‘Road’, ‘Street’, ‘Path’, ‘Track’, ‘Cycleway’, ‘Footway’, ‘Steps’, ‘Ferry’, or ‘Construction’. |
steepness |
int |
Varies from -5 to +5, with - (+) values indicating a downward (upward) slope. The absolute scale is: 0: ‘0%’, 1: ‘1-3%’, 2: ‘4-6%’, 3: ‘7-11%’, 4: ‘12-15%’, 5: ‘>16%’. |
tollway |
bool |
Indicates whether the road segment has tolls. |
Arcs and Assignments dataframes are similar, see Dataframes Comparison for the similarity and differences between them.
An Assignments dataframe can be used in createLeaflet()
. The table below indicates whether a given field (column) of the dataframe is required/optional/ignored.
Note
Some explaination about “Required”, “Optional”, “Ignored”:
“Required” means the function needs info from that field/column. That info can not be overridden by the function that uses the dataframe.
“Optional” means the function will use the info from that field/column as a default value. However, some functions allow the user to temporarily “override” the optional values in the dataframe with different values provided in the function call.
“Ignored” means the function neither needs nor uses info from that field/column.
Field Name |
Required |
Optional |
Ignored |
|---|---|---|---|
odID |
✓ |
||
objectID |
✓ |
||
modelFile |
✓ |
||
modelScale |
✓ |
||
modelMinPxSize |
✓ |
||
startTimeSec |
✓ |
||
startLat |
✓ |
||
startLon |
✓ |
||
startAltMeters |
✓ |
||
endTimeSec |
✓ |
||
endLat |
✓ |
||
endLon |
✓ |
||
endAltMeters |
✓ |
||
leafletColor |
✓ |
||
leafletOpacity |
✓ |
||
leafletStyle |
✓ |
||
leafletWeight |
✓ |
||
leafletCurveType |
✓ |
||
leafletCurvature |
✓ |
||
useArrows |
✓ |
||
cesiumColor |
✓ |
||
cesiumOpacity |
✓ |
||
cesiumStyle |
✓ |
||
cesiumWeight |
✓ |
||
popupText |
✓ |
||
startElevMeters |
✓ |
||
endElevMeters |
✓ |
||
wayname |
✓ |
||
waycategory |
✓ |
||
surface |
✓ |
||
waytype |
✓ |
||
steepness |
✓ |
||
tollway |
✓ |
An Assignments dataframe can be used in createCesium()
to generate
a Cesium-based 4D WebGIS video. The video can be displayed on a
Cesium web page.
Field Name |
Required |
Optional |
Ignored |
|---|---|---|---|
odID |
✓ |
||
objectID |
✓ |
||
modelFile |
✓ |
||
modelScale |
✓ |
||
modelMinPxSize |
✓ |
||
icon |
✓ |
||
startTimeSec |
✓ |
||
startLat |
✓ |
||
startLon |
✓ |
||
startAltMeters |
✓ |
||
endTimeSec |
✓ |
||
endLat |
✓ |
||
endLon |
✓ |
||
endAltMeters |
✓ |
||
leafletColor |
✓ |
||
leafletOpacity |
✓ |
||
leafletStyle |
✓ |
||
leafletWeight |
✓ |
||
leafletCurveType |
✓ |
||
leafletCurvature |
✓ |
||
useArrows |
✓ |
||
cesiumColor |
✓ |
||
cesiumOpacity |
✓ |
||
cesiumStyle |
✓ |
||
cesiumWeight |
✓ |
||
popupText |
✓ |
||
startElevMeters |
✓ |
||
endElevMeters |
✓ |
||
wayname |
✓ |
||
waycategory |
✓ |
||
surface |
✓ |
||
waytype |
✓ |
||
steepness |
✓ |
||
tollway |
✓ |
Note
The Assignments dataframe may have duplicated odID values for different paths. When veroviz.createLeaflet generates a Leaflet map, it will combine odID with objectID to form a new/unique odID.


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Test the ideas
Ideas are king, but not all of them are royalty material.
Still, it's important to find out. You really don't know what kind of idea you've got until it's been tested. TABLEFLIP encourages a creative working relationship where all the things are tried out to see what works best.
The only way of discovering the limits of the possible is to venture a little way past them into the impossible.
Arthur C. Clarke, "Profiles of The Future", 1961
Stuff that doesn't work gets pruned and you're left with an awesome simple thing that does something new and interesting.
What if you could ship a thing after a week? How about every week? Well, this is what tableflip does...and then you can change direction of the project, reprioritise, or continue with the plan.
Portfolio
We build amazing websites and apps and things.
Need help building something?
→ Get in touchNodeBots
TABLEFLIP co-organise NodeBots of London; introducing robots to JavaScript, via humans.
We built the nodebot-workshop
, to get people up and running with johnny-five
, the Node.js library for communicating with hardware. The workshop is part of the nodeschool syllabus; a step-by-step series of code challenges that introduce the components and code used to bring hardware to life.
For LXJS we teamed up with Les NodeBots de Paris to build the lasercat-workshop
a fun introduction to hardware, lasers, and internet controllable cat entertainment.
TABLEFLIP built the new nodebots website and were invited to NodeConf 2014 in San Francisco to run the hardware workshop.
For NodeBots day 2014, with the wizard skills of Alex Potsides we created a extra special meet-up where attendees built their own bluetooth powered, laser cut robot vehicles.
DRIIFT
Automated entry, real-time analytics and attendee insights all using the latest NFC + Beacon technologies.
In collaboration with Chris Waring of wwaves, TABLEFLIP took their Meteor knowledge and built a web and NFC based solution for conferences and festivals to gain insight and info on their event, in realtime.
DRIIFT provides all sorts of awesomes that allow attendees to have more fun and make more connections, sponsors to gather more leads and get their name out better, and organisers to get info on how their event went, where people were and what they were doing.
DRIIFT is built as a Meteor web application and a Cordova phone app. It uses the latest NFC technology at it's base. We've been seen at tech events such as bacon conf, LXJS and Container Camp.
SVS Securities
TABLEFLIP moderized the SVS securities site by porting their previous code base from .NET to node.
The site has a fully responsive design and makes use of some interesting programming patterns behind the scenes (find out more here). TABLEFLIP is proud of the work it has done on this serious, and in places complex, site.
Intimate Objects
TABLEFLIP were comissioned by Intimate Objects to build a website and CMS allowing visitors to design, create and share intimate objects with each other.
The site uses the KeystoneJS CMS and shows off some incredible 3D graphics made possible using three.js.
School of Wok
TABLEFLIP worked closely with this award winning cookery school to deliver their business critical website.
The site showcases some of TABLEFLIP'S best optimisation techniques. The scope of the site is extensive, and includes: an awesome mobile implementation, a public facing booking system with dedicated business facing management tools, payment flows that handle discount codes and vouchers, daily email notifications for key staff, and a content management system so staff can update the site.
NodeSchool
TABLEFLIP have helped run and mentor at NodeSchool in London since the concept was first devised.
We built the London chapter site and can be regularly seen helping others on the NodeSchool discussion forums.
Our workshop "Nodebot Workshop" is a featured elective on the NodeSchool website.
Polestar
TABLEFLIP worked extensively with Polestar on their flagship application Purplefinder.
Polestar Space Applications primarily allow their customers to track and monitor their fleet through various web and mobile applications. TABLEFLIP worked extensively with Polestar on their flagship application Purplefinder.
TABLEFLIP was tasked with re-skining their aging Java applet based web application to give it a new lease of life. We worked closely with the backend team to integrate a new look and feel and port the features of the applet to a new, modern, LeafletJS based map. We made use of the latest web technologies such as websockets and CSS3 animations whilst also ensuring the application was useable on mobile devices.
TABLEFLIP also built their main website and their newest product to hit the financial market PurpleTRAC.
Meteor
TABLEFLIP and friends organise the monthly Meteor London meetup.
Meteor have contracted TABLEFLIP on a number of occasions to build various internal as well as external projects. Our most recent collaboration was on the "Meteor Now" campaign website, which aimed to raise $25,000 for CodeNow - a nonprofit focused on teaching under-represented youth to code.
TABLEFLIP recently started running Meteor training for javascript developers and beginners, aiming to introduce building web apps with Meteor.
The first training day was a great success, we had around 10 students and also teamed up with Ladies who Code to offer a scholorship place.
@_alanshaw & @olizilla were a great double act, and incredibly patient with all my questions.
— Olu Niyi-Awosusi (@oluoluoxenfree) October 31, 2014
In October 2014 Meteor released the long awaited version 1.0 of the framework and with it redesigned their logo and website. TABLEFLIP were pleasantly surprised to find themselves featured on the Professional Services page of the site.
Contact
Get in contact with us for any reason. Fire an email to<EMAIL_ADDRESS>and we'll mail you back as soon as we can.
Address: Unit 1a, 1 East Dulwich Road, London, SE22 9BA


{% extends "admin/base_site.html" %} {% load i18n %} {% block breadcrumbs %}
{% trans "Thanks for spending some quality time with the Web site today." %}


This assignment isn't quite an assignment. You're encouraged to work on your final project! Please let me know if you have any questions!
This assignment isn't quite an assignment. You're encouraged to work on your final project! Please let me know if you have any questions!


NBA greatest duos card memory game
Select game type
Duos
Big Threes
Select difficulty
Amateur
Street Baller
Hometown Legend
Launch New Game
You Won!
Your time was:
Play again now!
new game
NBA card memory game
Your Time:
00
:
00
New Game
Cards remainning:


rent $6.
With HOTEL $550.
Mortgage value $50.
Houses cost $50. each
Hotels, $50. plus 4 houses.
If a player owns ALL the Lots of any Color-Group, the
rent is Doubled on Unimproved Lots in that group.
©1935 Hasbro, Inc.
rent $6.
With HOTEL $550.
Mortgage value $50.
Houses cost $50. each
Hotels, $50. plus 4 houses.
If a player owns ALL the Lots of any Color-Group, the
rent is Doubled on Unimproved Lots in that group.
©1935 Hasbro, Inc.
rent $8.
With HOTEL $600.
Mortgage value $60.
Houses cost $50. each
Hotels, $50. plus 4 houses.
If a player owns ALL the Lots of any Color-Group, the
rent is Doubled on Unimproved Lots in that group.
©1935 Hasbro, Inc.
rent $22.
With HOTEL $1150.
Mortgage value $130.
Houses cost $150. each
Hotels, $150. plus 4 houses.
If a player owns ALL the Lots of any Color-Group, the
rent is Doubled on Unimproved Lots in that group.
©1935 Hasbro, Inc.
rent $22.
With HOTEL $1150.
Mortgage value $130.
Houses cost $150. each
Hotels, $150. plus 4 houses.

With HOTEL $1200.
Mortgage value $140.
Houses cost $150. each
Hotels, $150. plus 4 houses.
If a player owns ALL the Lots of any Color-Group, the
rent is Doubled on Unimproved Lots in that group.
©1935 Hasbro, Inc.
rent $35.
With HOTEL $1500.
Mortgage value $175.
Houses cost $200. each
Hotels, $200. plus 4 houses.

With HOTEL $2000.
Mortgage value $200.
Houses cost $200. each
Hotels, $200. plus 4 houses.
If a player owns ALL the Lots of any Color-Group, the
rent is Doubled on Unimproved Lots in that group.
©1935 Hasbro, Inc.


class: center, middle, inverse, title-slide # Globalization & US Inequality ## Library Session #2
Finding Data ### Ryan Clement ### 2019/03/14 --- class: middle # who am I? * I'm Ryan Clement, the Data Services Librarian * I use he/him/his pronouns * I work with Economics, Geography, Sociology/Anthropology, and Philosophy * I help people find and use data * I can help with all stages of your research! * You can find more at [go/ryan/](http://go.middlebury.edu/ryan) --- class: middle # what are we covering today? * organizing your data search * codebooks * some important data sources * dirty, unprepared data --- class: inverse, center, middle # before you start --- class: center, middle # Structure of a dataset Data files (What format? How many? How are they organized?) Scripts to process the data (sometimes, e.g. .do files, etc) Codebook --- class: center, middle # Structure of a data file Rows and columns - what is in each *ideally*? Different types of variables -- id vs observation (e.g. what vs how much) Variable names (machine vs human readable?) Missing data --- class: center, middle # Structure of a codebook Column locations and widths for each variable (if necessary) What universe does the data cover? Response codes for each variable, along with nonresponse or missing data Exact questions and skip patterns (if it is a complex survey) etc... --- class: inverse, center, middle # organizing your search --- class: center, middle # Think of what you need What variables do I need? What level of observation do I need? Do I need aggregate data or microdata? What time period/frequency do I need? --- class: center, middle # Who has what you need? "Who cares about this enough to collect and/or keep it?" What type of organization are they? Educational, governmental, private, etc? If not public/government organization, how valuable is the data? Are there privacy/confidentiality issues? --- class: center, middle # Searching for data on Google? Not the place to *start*. Remember the "who would care rule" -- look for them! Be as specific as possible in search terms (e.g. "microdata," "by county," etc.) --- class: middle # What are they types of studies * Cross-sectional * Collected only once, but may be for many different individuals/households/firms * Many public opinion surveys are cross-sectional * Time Series * Studies the same variable(s) over time * The Census or the National Health Interview Study are examples * The questions/variables *and* the group studied remain mostly the same over time, but they individual respondents may vary * Longitudinal Studies (e.g. Panel Studies) * Conducted repeatedly for the same group of respondents over time * Allows examining changes over the lifespan * Panel Study of Income Dynamics is an example --- class: inverse, center, middle # (some) data sources --- class: middle # The Census/American Community Survey * Some access points: * [Social Explorer](http://go.middlebury.edu/socialexplorer) (for tables and many different geographies) * IPUMS (historical, harmonized, microdata) * [NHGIS](https://www.nhgis.org/) (historical spatial data) * [The Opportunity Atlas](https://www.opportunityatlas.org/) --- class: middle # Tips for working with the Census * When working with historical/time series data: * Watch for changing values * Watch for changing geographic coverage * Watch for changing questions * [Racebox](http://racebox.org/) * Which ACS is right for you? * 1-, 3-, or 5-year ACS * The 3-year ACS is going away --- class: middle # Add Health * <https://www.cpc.unc.edu/projects/addhealth> * Longitudinal study of students in grades 7-12 in 1994-95 (most recent follow up in 2008) * Survey data on social, economic, psychological and physical well-being * Contextual data on family, neighborhood, community, school, friendships, peer groups, and romantic relationships * Public use and restricted versions of the data; public use available through ICPSR --- class: middle # Other government sources * [Bureau of Economic Analysis (BEA)](http://www.bea.gov/) * [Bureau of Labor Statistics (BLS)](http://www.bls.gov/) * Federal Reserve Economic Data ([FRED](http://research.stlouisfed.org/fred2/)/[ALFRED](https://alfred.stlouisfed.org/)) --- class: middle # Panel Study of Income Dynamics * <https://psidonline.isr.umich.edu/> * Some data is public, some is restricted * Longest running longitudinal household survey in the world (since 1968) --- class: inverse, center, middle # dirty, unprepared data --- class: middle # How is data dirty or unprepared? * Missing data * Bad data * Unclear data * Poorly organized --- class: center, middle # Thanks! Remember, you can find me at [go/ryan/](http://go.middlebury.edu/ryan)!


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Natalie Fletcher’s models are camouflaged in the landscape. Be it a mountain range, coastal setting or a grove of trees, her subjects merge seamlessly into the wilderness, blending into the natural beauty of the world around them.
Fletcher, 30, spent the best part of 2015 travelling around the United States working on her ‘100 Bodies Across America’ project in which she painted two subjects from every state. Now, she’s compiling those images into both a book and an exhibition, and the video content into a short film, which she intends to enter into the Sundance Film Festival in 2016.
Fletcher’s subjects are clad only in underwear while they are painted, and meticulously blended into their surrounds. “I use people as art because each canvas is unique and beautiful,” Fletcher says.
Fletcher, who is based in Bend, Orgeon, uses body makeup and paint to transform her subjects into mountain peaks, craggy ranges, forests or streams.
Fletcher’s talent allows her to recreate the surrounding landscape on the body, which makes the human form appear transparent as the landscape continues through the body. Fletcher compares her style of body painting to the 19th century Impressionist movement. “Up close, these paintings don’t work. But from afar, they offer an interesting illusion.”
While Fletcher’s painted models offer a dynamic and imposing sight, the artist’s main fascination with her chosen specialty is the intimate experiences she has with each model (all of whom are volunteers).
In the 45 minutes to three hours it takes to paint a person into their surroundings, Fletcher says she is an open book, and as a result, people relate to her and talk about the stories of their lives.
Fletcher’s talent allows her to recreate the surrounding landscape on the body, which makes the human form appear transparent as the landscape continues through it.
“There’s no clothes, no filters, and total open communication. It is a fascinating insight into the human spirit and turning people into art has become a segueway for me to understand more about us as people,” Fletcher says. “It is often quite an empowering experience for someone to be painted and a courageous thing to take their clothes off and have their body transformed.”
The 100 Bodies Across America project includes models aged between six and 70; a project as diverse in geography as it is in subject.
“I didn’t have any restrictions or specific types of models that I wanted to use. It was more about who wanted to be part of the project,” she says.
“What I enjoyed most about meeting all these people and the project as a whole is that every person I met had a story to tell. While each state has its own stereotype, everybody is very similar. Everyone has different situations and backgrounds and experiences, but we are all similar. I heard a story from someone in a cornfield in Iowa, for example, that sounds the same as one I was told by a person in the Boston Commons Park. We all have this passion and pursuit of happiness that connects us. The most common thing that links us as human beings is trying to find the balance in our relationships, whether that is with friends, partners, family or children. This project has given me a new love of humanity.”
The finished project, which consists of 101 paintings, the 101st painted in Washington DC, is not only a celebration of the natural beauty of America’s diverse and distinct landscapes, it a celebration of the diversity of the human body in all its forms. artbynataliefletcher.com


--- author: Steve Gill categories: app date: '2011-07-19 18:32:27' permalink: /2011/07/19/phonegap-1-0-0-release-candidate-2/ slug: phonegap-1-0-0-release-candidate-2 status: publish title: PhoneGap 1.0.0 Release Candidate 2! type: post format: html ---
Hey Everyone,
PhoneGap 1.0.0rc2 has been released today. You can go download it now from http://www.phonegap.com/releasecandidate/.
PhoneGap 1.0.0 is set to officially be released on PhoneGap Day, July 29th, 2011.
Please take a look at our release plan to view a checklist of features that were updated/added. We would greatly appreciate if members of the PhoneGap community can download the release candidate and report any bugs you find on github. Follow the wiki for instructions on how to submit bugs.
Cheers, -Steve Gill


@* * This template takes a single argument, a String containing a * message to display. *@ @() @* * Call the `main` template with two arguments. The first * argument is a `String` with the title of the page, the second * argument is an `Html` object containing the body of the page. *@ @layouts.main(title = "Ayanerer", controller = "Home", action = "index") {


Two 'kidnappers' lynched in Lagos - The Nation Newspaper
Yunus Abdulrasheed
Two persons accused of being kidnappers were on Wednesday burnt to death in Ijora-Badia, a Lagos slum.
The victims, a man and a woman, were mobbed at separate intervals along Gaskiya Road. An unnamed middle-aged man who was sighted with a garment containing a dead bird and iPhone was the first victim of the mob justice.
He was said to have been burnt alive around 2pm on Wednesday after some persons claimed to have heard him telling someone on the phone that he could not get any child.
Some residents claimed the man immediately threw his phone into the canal when he was accosted while others said his accusers collected the phone from him.
Without giving him room to defend himself, the mob stoned the man, put tyres around his neck and set him ablaze, said a resident.
Read Also: GAC Motors to visit Lagos
Not satisfied with their action, it was gathered that they went ahead to contact a number on the man’s phone and lured the woman to the same spot around 8pm where they killed her too.
When our reporter visited the area yesterday, it was learnt that residents had been agitated following the kidnap of a child two weeks ago. Sources said the people have resorted to suspecting any strange face in the neighbourhood, adding that most of those who took part in the jungle justice have fled the community.
Narrating what transpired, a witness who refused to be named said: “A man was caught making a call to someone. They claimed they heard him say “I couldn’t get any child to snatch here o!”
Police spokesman Bala Elkana. A Deputy Superintendent (DSP) confirmed the incident, adding that a suspect was already in custody.


Places You've Been
Add Destination
Enter Location
Landmark Visited
Enter Note
Enter Date Visited
Add
Destination:
Landmark visited:
Notes:
Date:


Create, delete, describe, or change a topic.
Option Description
replica assignment, and/or
configuration for the topic.
show partitions whose isr count is
equal to the configured minimum. Not
supported with the --zookeeper
option.
connect to> to. In case of providing this, a
direct Zookeeper connection won't be
required.
config property file> passed to Admin Client. This is used
only with --bootstrap-server option
for describing and altering broker
configs.
topic being created or altered.The
following is a list of valid
configurations:
cleanup.policy
compression.type
delete.retention.ms
file.delete.delay.ms
flush.messages
flush.ms
follower.replication.throttled.
replicas
index.interval.bytes
leader.replication.throttled.replicas
max.compaction.lag.ms
max.message.bytes
message.downconversion.enable
message.format.version
message.timestamp.difference.max.ms
message.timestamp.type
min.cleanable.dirty.ratio
min.compaction.lag.ms
min.insync.replicas
preallocate
retention.bytes
retention.ms
segment.bytes
segment.index.bytes
segment.jitter.ms
segment.ms
unclean.leader.election.enable
See the Kafka documentation for full
details on the topic configs.It is
supported only in combination with --
create if --bootstrap-server option
is used.
removed for an existing topic (see
the list of configurations under the
the --bootstrap-server option.
list or describe command. The
internal topics will be listed by
default
describing topics, the action will
only execute if the topic exists.
Not supported with the --bootstrap-
server option.
action will only execute if the
topic does not already exist. Not
supported with the --bootstrap-
server option.
being created or altered (WARNING:
If partitions are increased for a
topic that has a key, the partition
logic or ordering of the messages
will be affected). If not supplied
for create, defaults to the cluster
default.
broker_id_for_part1_replica1 : assignments for the topic being
broker_id_for_part1_replica2 , created or altered.
broker_id_for_part2_replica1 :
broker_id_for_part2_replica2 , ...>
replication factor> partition in the topic being
created. If not supplied, defaults
to the cluster default.
or delete. It also accepts a regular
expression, except for --create
option. Put topic name in double
quotes and use the '\' prefix to
escape regular expression symbols; e.
g. "test\.topic".
show topics that have overridden
configs
show partitions whose leader is not
available
show partitions whose isr count is
less than the configured minimum.
Not supported with the --zookeeper
option.
show under replicated partitions
the zookeeper connection in the form
host:port. Multiple hosts can be
given to allow fail-over.


Overview - Reports - Quarter - Contract
| Vendor Name: |
Dr. Scott Kollins |
| Reference Number: |
7NS0107 |
| Contract Date: |
2007-02-16 |
| Description of Work: |
0431 Scientific consultants |
| Contract Period: |
2007-02-19 to 2007-12-31 |
| Delivery Date: |
|
| Contract Value: |
$42,500.00 (US) |
| Comments: |
| |


| Number of Classes | Line Coverage | Mutation Coverage |
|---|---|---|
| 7 | 90% | 79% |
| Name | Line Coverage | Mutation Coverage |
|---|---|---|
| BaseAbstractUnivariateIntegrator.java | 90% |
77% |
| IterativeLegendreGaussIntegrator.java | 97% |
93% |
| LegendreGaussIntegrator.java | 94% |
90% |
| MidPointIntegrator.java | 94% |
79% |
| RombergIntegrator.java | 86% |
72% |
| SimpsonIntegrator.java | 77% |
54% |
| TrapezoidIntegrator.java | 87% |
82% |


Bake crust at 350 degrees F. for 22 minutes
Bake at 350 degrees F. for 25 minutes.
Garnish with powdered sugar; or top with meringue (the extra egg white whipped with 1 tablespoon of sugar) and brown with torch.
*Recipe found here.


--- layout: base ---
#chaplinjs
on Freenode.One of the creators of Chaplin, is offering commercial support and training for Chaplin and Backbone-based JavaScript applications. 9elements is a software and design agency located in Berlin and Bochum, Germany. Send us a mail for more information<EMAIL_ADDRESS>Another Chaplin creator & Brunch maintainer is offering consulting & training for all web application-related stuff. Don't hesitate, drop a line<EMAIL_ADDRESS>Offering commerical support and training for Chaplin and Backbone-based JavaScript applications. Concordus Applications is an enterprise integration and software development firm. Email us for more information<EMAIL_ADDRESS>Offering commercial support and training for Chaplin and Backbone-based JavaScript applications. La Coopérative des Tilleuls is a software, training and web-design cooperative enterprise located in Lille, France. Send us a mail for more information: contact@les-tilleuls.coop.


Hazard has a success rate of 62% passing.
Hazard's hamstring injury rule him out for the Premier League games against Chelsea, Norwich, Sunderland and Stoke. Estimations are around a month.


{% include head.html %}
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About
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Research
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Publications
Software
Teaching
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Hot Rod Remote Events #2: Filtering events
This blog post is the second in a series that looks at the forthcoming Hot Rod Remote Events functionality included in Infinispan 7.0. In the first blog post we looked at how to get started receiving remote events from Hot Rod servers. This time we are going to focus on how to filter events directly in the server.
Sending events to remote clients has a cost which increases as the number of clients. The more clients register remote listeners, the more events the server has to send. This cost also goes up as the number of modifications are executed against the cache. The more cache modifications, the more events that need to be sent.
A way to reduce this cost is by filtering the events to send server-side. If at the server level custom code decides that clients are not interested in a particular event, the event does not even need to leave the server, improving the overall performance of the system.
Remote event filters are created by implementing a org.infinispan.notifications.cachelistener.filter.CacheEventFilterFactory class. Each factory must have a name associated to it via the org.infinispan.notifications.cachelistener.filter.NamedFactory annotation.
When a listener is added, we can provide the name of a key value filter factory to use with this listener, and when the listener is added, the server will look up the factory and invoke getFilter method to get a org.infinispan.notifications.cachelistener.filter.CacheEventFilterFactory class instance to filter events server side.
Filtering can be done based on key or value information, and even based on cached entry metadata. Here’s a sample implementation which will filter key "2" out of the events sent to clients:
Plugging the server with this key value filter requires deploying this filter factory (and associated filter class) within a jar file including a service definition inside the META-INF/services/org.infinispan.notifications.cachelistener.filter.CacheEventFilterFactory file:
With the server plugged with the filter, the next step is adding a remote client listener that will use this filter. For this example, we’ll extend the EventLogListener implementation provided in the first blog post in the series and we override the @ClientListener annotation to indicate the filter factory to use with this listener:
Next, we add the listener via the RemoteCache API and we execute some operations against the remote cache:
If we checkout the system output we’ll see that the client receives events for all keys except those that have been filtered:
Finally, with Hot Rod remote events we have tried to provide additional flexibility at the client side, which is why when adding client listeners, users can provide parameters to the filter factory so that filter instances with different behaviours can be generated out of a single filter factory based on client side information. To show this in action, we are going to enhance the filter factory above so that instead of filtering on a statically given key, it can filter dynamically based on the key provided when adding the listener. Here’s the revised version:
Finally, here’s how we can now filter by "3" instead of "2":
And the output:
To summarise, we’ve seen how Hot Rod remote events can be filtered providing key/value filter factories that can create instances that filter which events are sent to clients, and how these filters can act on client provided information.
In the next blog post, we’ll look at how to customize remote events in order to reduce the amount of information sent to the clients, or on the contrary, provide even more information to our clients.
Cheers, Galder


ADR annotation on Weblogs
Adverse drug reactions are a severe problem that significantly degrade quality of life, or even threaten the life of patients. Patient-generated texts available on the web have been gaining attention as a promising source of information in this regard.
To date, this is the first dataset that annotated drug reactions with full context. We crawled patient's weblog articles shared on an online patient-networking platform and annotated the effects of drugs therein reported. We identified spans describing drug reactions and assigned labels for related drug names, standard codes for the symptoms of the reactions, and types of effects.
For more details, please refer to our paper: Yuki Arase, Tomoyuki Kajiwara, Chenhui Chu. 2020. Annotation of Adverse Drug Reactions in Patients' Weblogs. in Proceedings of the 12th Edition of its Language Resources and Evaluation Conference (LREC 2020). (May 2020, to appear). * Please cite the paper when you publish research outcomes using our dataset.
Dataset
We release only annotation metadata. ADR_paragraph_LREC2020.json
You may reconstruct the full annotation files using this script.
Contact
For any questions, please reach out us:
Yuki Arase arase-AT-ist.osaka-u.ac.jp (please replace -AT- with an @ mark)


We must perform a final calibration of the sensors before the experiment can be completed. Please relax and click the Continue button. This will only take about thirty seconds.


Latest Version
At the moment of this writing, the project undergoes incubation at Apache Software Foundation, the latest version of NLPCraft is {{site.latest_version}}. In some rare cases, APIs might have changed since this article was written. Consult the latest documentation for up-to-date information.


← Main Page
FW-114
Located on the first floor of the Faraday Wing on Keyworth street.
Grads-Cafe
Located on the first floor of the student centre on borough road.


SnapScouts
SnapScouts is agitprop software theatre. SnapScouts received over 80,000 hits was mentioned in several blogs including Wired, LA Times, Reddit and Download Squad (links below). The Android application and accompanying site lets you download the app to your Android phone. The app ultimately promotes kids spying on your neighborhood and parents. This is, of course, a terrible idea, but by creating awareness, it will hopefully promote privacy.
Team
- Character Design: Sarah Braly
- Copywriter: Joel


Christmas week GAA action confirmed as Munster pre-season fixtures revealed
Fans have a choice to make for their pre-Christmas hurling fix as the Co-Op Superstores Munster Hurling League and McGrath Cup fixtures have been confirmed.
On Friday, December 20, All-Ireland champions Tipperary will visit Limerick in a rematch of last year's Munster final at the LIT Gaelic Grounds.
Meanwhile, at Fraher Field, Cork will visit Waterford for the meeting of two teams under new management; returning Rebel boss Kieran Kingston against new Déise chief Liam Cahill.
Tipperary and Clare will meet the previous Sunday, December 15, in Nenagh, with the Bannermen hosting Limerick at Sixmilebridge on Sunday, December 29.
Kingston will likely line out a very different side as Cork face Kerry at Páirc Uí Rinn on Wednesday, December 18, two days before heading to Dungarvan. Kerry then welcome Waterford to Austin Stack Park on Sunday, January 5.
Cork's footballers will also be making an early visit to the Tralee venue to play a Kerry U20 team in their McGrath Cup Group B game on Sunday, December 29. The Kerry seniors will be skipping the competition due to a team holiday.
Tipperary will face Cork and Kerry in the space on four days, travelling to Páirc Uí Rinn on Thursday, January 2, before hosting the Kingdom at Clonmel on January 5.
Waterford will be in action on the same dates, first playing Limerick at Fraher Field before travelling to Ennis to play Clare. The other game, between Limerick and Clare, will take place at Rathkeale the previous Sunday.
The McGrath Cup final will take place on Saturday, January 11, with the Munster Hurling League final the following day.
Co-Op Superstores Munster Hurling League fixtures
Group A
December 15: Tipperary v Clare, MacDonagh Park Nenagh (2pm)
December 20: Limerick v Tipperary, LIT Gaelic Grounds (7:30pm)
December 29: Clare v Limerick, Sixmilebridge (2pm)
Group B
December 18: Cork v Kerry, Páirc Uí Rinn (7:30pm)
December 20: Waterford v Cork, Fraher Field (7:30pm)
January 5: Kerry v Waterford, Austin Stack Park (2pm)
Final: January 12
McGrath Cup fixtures
Group A
December 29: Limerick v Clare, Mick Neville Park Rathkeale (2pm)
January 2: Waterford v Limerick, Fraher Field (7:30pm)
January 5: Clare v Waterford, Cusack Park (2pm)
Group B
December 29: Kerry v Cork, Austin Stack Park (2pm)
January 2: Cork v Tipperary, Páirc Uí Rinn (7:30pm)
January 5: Tipperary v Kerry, Clonmel Sportsfield (2pm)
Final: January 11


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