"MIRIAM "their rebellion. (1.) The sister of Moses and Aaron (Exodus 2:4-10; 1 Chronicles 6:3). Her name is prominent in the history of the Exodus. She is called “the prophetess” (Exodus 15:20). She took the lead in the song of triumph after the passage of the Red Sea. She died at Kadesh during the second encampment at that place, toward the close of the wanderings in the wilderness, and was buried there (Numbers 20:1). (See AARON; MOSES.)(2.) 1 Chronicles 4:17, one of the descendants of Judah.
"MIRIAM "their rebellion. (1.) The sister of Moses and Aaron (Exodus 2:4-10; 1 Chronicles 6:3). Her name is prominent in the history of the Exodus. She is called “the prophetess” (Exodus 15:20). She took the lead in the song of triumph after the passage of the Red Sea. She died at Kadesh during the second encampment at that place, toward the close of the wanderings in the wilderness, and was buried there (Numbers 20:1). (See AARON; MOSES.)(2.) 1 Chronicles 4:17, one of the descendants of Judah.


Source code for hln.es_queries
def get_leads_query(args):
[docs] """Forms leads query on basis of filters(categories and entities),
and using relevance score boost on entities match in search text
Args:
args (dict): search query dictionary containing search text,
categories, and entities
Returns:
dict: ES query
"""
search_filters = []
if len(args['search_entities'])!=0:
entities_filter = get_entities_filter(args['search_entities'])
search_filters.insert(0, entities_filter)
if len(args['search_categories'])!=0:
categories_filter = get_categories_filter(args['search_categories'])
search_filters.insert(0, categories_filter)
if len(search_filters)==0:
leads_query = get_leads_boost_query(args)
else:
leads_query = {
"filtered": {
"query": get_leads_boost_query(args),
"filter": {
"bool": {
"should": search_filters
}
}
}
}
return leads_query
def get_entities_filter(search_entities):
[docs] """Forms filter dictionary for search_entities
Args:
search_entities (string): entities in search text
Returns:
dict: ES filter query
"""
return {
"nested": {
"path": "data.entities",
"filter":{
"bool":{
"should": [
{
"terms": {
"data.entities.screen_name": search_entities
}
},
{
"terms": {
"data.entities.name": search_entities
}
}
]
}
}
}
}
def get_categories_filter(search_categories):
[docs] """Forms categories filter
Args:
search_categories (string): categories in search text
Returns:
dict: ES filter query
"""
return {
"terms": {
"categories": search_categories
}
}
def get_leads_boost_query(args):
[docs] """Forms leads boost query on basis of entities
in search text
Args:
args (dict): contains search text, categories, entities
Returns:
dict: ES query
"""
return {
"nested": {
"path": "data",
"query": {
"bool": {
"should": [
{
"match": {
"data.text":{
"query":args['search_text']
}
}
},
{
"nested": {
"path": "data.entities",
"query": {
"match": {
"data.entities.name":{
"query": args['search_text'].replace('@',''),
"boost": 2
}
}
}
}
}
]
}
}
}
}


| 程序包 | 说明 |
|---|---|
| org.activiti.explorer.ui.task | |
| org.activiti.explorer.ui.task.listener |
| 类和说明 |
|---|
| PriorityComboBox |
| PriorityLabel |
| SubTaskComponent
Custom component for the 'sub tasks' section for a task.
|
| TaskDetailPanel
The central panel on the task page, showing all the details of a task.
|
| TaskEventsPanel
Component containing all events for a given task.
|
| TaskEventTextResolver
Helper class that resolves a task
Event to a Label
that contains all the information in the event. |
| TaskInvolvedPeopleComponent
Component for a
TaskPage that displays all people involved with the task. |
| TaskPage
Abstract super class for all task pages (inbox, queued, archived, etc.),
Builds up the default UI: task list on the left, central panel and events on the right.
|
| TaskRelatedContentComponent
Component for showing related content of a task.
|
| UserDetailsComponent
Component for one user (picture + name + optional action).
|
| 类和说明 |
|---|
| SubTaskComponent
Custom component for the 'sub tasks' section for a task.
|
| TaskDetailPanel
The central panel on the task page, showing all the details of a task.
|
Copyright © 2017 Alfresco. All rights reserved.


Sasha Patterson Coaching
Mobile-first landing page for a new service.
- Landing Page
- HTML & CSS
- Responsive Design
I designed and developed this concept website for a hypothetical client who is starting a new life coaching
service.
Goals include establishing the client's brand in a personal and unique way, providing information about
services, and encouraging customer engagement.
I designed a mobile-first site with just one page so that visitors can seamlessly scroll from one section to
the next.
I kept the look and feel of the website as simple as possible, while also keeping it warm and friendly.
I made use of CSS flexbox to ensure that the design is responsive to any browser size.
Mobile View:
Desktop View:
Like what you see?
Start the conversation now by clicking through that pretty lil' red button below.


Jazzberry Games
Games
Choose Wisely
Coral Caverns
Kitty Klimber
Lightspeed
Time Lord
Github
Archives
ParticleJS
Squiggle
Thesis
Rubik's Cube
My Notes
Paint
Contact
Choose Wisely
Play Now
Coral Caverns
Play Now
Kitty Klimber
Play Now
Lightspeed
Play Now
Time Lord
Play Now


WELCOME TO MY PORTFOLIO
I AM ANKIT KUMAR GUPTA
FROM WEST BENGAL
B.Tech(Computer Science) student at JAIPUR NATIONAL UIVERSITY, JAIPUR.
-> CODING ENTHUSIAST.
-> COMPUTER SCIENCE GEEK.
-> MELOMANIAC and loves playing GUITAR and DRUMS.
WEB DEVELOPMENT CERTIFICATIONS
- HTML
- CSS
HACKERRANK CERTIFICATIONS
&&
PROFILE
3 STAR CODER at CODECHEF
- STOCK ORDER BOOK
CLICK TO OPEN
Pattern Recognition using Machine Learning
CLICK TO OPEN
Hamming code
CLICK TO OPEN


Optimization example overview
All examples run against the MNIST dataset. Source code is here.
| Objective Functions |
|
| LogisticObjective |
Logistic Regression classifier objective function |
| AutoencoderObjective |
Neural network autoencoder objective function |
| Convergence examples |
|
| plot_logistic_regression |
Compares phessianfree against lbfgs for training a
logistic regression model directly on the pixel
values of the mnist dataset. This is a good
example of how large the speedup can be for
very smooth objectives, with moderate condition
numbers. |
| plot_autoencoder |
This illustrates the use of the Gauss-Newton
approximation, together with Theano for a simple
non-convex objective. Each iteration is much
slower than the logistic regression example,
so you might want to get cup of coffee while
it’s running. |
| plot_least_squares |
This is probably the simplest example of phessian use.
Fitting a simple linear regression model directly to
the mnist pixel values.
This example uses a simple function rather than a class
to define the objective function, unlike the other
examples. |


result = Matrices.det(A);
This function returns the determinant "result" of matrix A computed by a LU decomposition with row pivoting. For details about determinants, see http://en.wikipedia.org/wiki/Determinant. Usually, this function should never be used, because there are nearly always better numerical algorithms as by computing the determinant. Examples:
function det extends Modelica.Icons.Function; input Real A[:, size(A, 1)]; output Real result "Determinant of matrix A"; end det;


Physical and human environments are changing faster than ever and many pressing questions require characterization of change over space and through time. New spatial technologies (e.g., Satellites, GPS, and Google Maps) are providing opportunities to investigate spatial-temporal processes but methods are required to best utilize data. Generally, Dr. Nelson’s research develops and uses spatial and spatial-temporal analyses to address applied questions in ecology, forestry, and health. Dr. Nelson is particularly interested in developing approaches to quantify space-time change in landscapes (i.e., biodiversity) and phenomena that use landscapes (i.e., wildlife).
Trisalyn's Uvic Geography Page
Faces of UVic Research Watch video
Global Biodiversity Mapping and Monitoring with Remote Sensing
Generally, my interests lie in mapping and monitoring land use, ecosystems, species distributions and habitats, within the contexts of environmental conservation and management. Past research and work experience has taken me from British Columbia, to Saskatchewan, to the Canadian High Arctic, and to the Ecuadorian Andes. My PhD research builds on these experiences, and involves using a variety of remotely sensed data with spatial and statistical modeling to derive baseline biodiversity maps at several spatial scales. My research will help fill gaps in the knowledge of spatial distribution of biodiversity (species and ecosystems). This type of knowledge is essential when assessing risks to biodiversity from natural and anthropogenic disturbances.
Spatial Analysis of alcohol outlet density and violence in British Columbia
My MSc studies allowed me the opportunity to explore terrestrial ecosystem and species modelling in which I utilized Earth observation and terrain indices to develop a dynamic ecosystems model for British Columbia and created predictive breeding bird diversity models to support species management. During my PhD studies I will be turning my attention to researching the spatial relationship between substance use and criminal offenses over the province of British Columbia. Specifically, I intend to establish if an increased density of liquor establishments has an influence on the rate of violence in an area, and possibly nuisance crimes, to inform policy for public health and safety.
Quantifying and Predicting Wildlife Movement
Generally, my research interests lie in the application and development of spatial methods in order to answer a wide variety of ecological questions. My Honours research examined the impacts of mountain pine beetle infestation on spatial patterns of forest fire ignition and size, while my MSc quantified impacts of habitat conditions and human disturbance on long-term stress and health of grizzly bears in Alberta, Canada. Working with the Foothills Research Institute Grizzly Bear Project, my PhD research will focus on the development of novel methods and tools to quantify and predict wildlife movement using high resolution telietry data. The goal is to develop new applications to help assess the impacts of human disturbance and habitat conditions on wildlife movement in order to better inform management and conservation efforts.
Intra-annual Habitat Selection by Grizzly Bears
My research concentration during my MSc will be the application of spatial-temporal analysis methods to quantify intra-annual variation in grizzly bear home ranges in relation to seasonally abundant food resources in the foothills region of Alberta. In order to facilitate conservation efforts in a region supporting grizzly bear populations, resource extraction, and recreational activities, it is important to understand what factors, natural or anthropogenic, influence grizzly bear habitat selection.
Spatial analysis of health indicators and radon gas in British Columbia
My research interests lie at the intersection between public health and spatial sciences. During my MSc research I will be using spatial analysis methods to better understand the relationship between health outcomes and radon gas concentrations in homes in British Columbia. Radon is a naturally occurring radioactive gas that can seep into homes from the surrounding soil and accumulate to high concentrations. Exposure to high concentrations can pose significant health risks. As a result, I will also be developing accessible and interactive cartographic applications to not only better communicate the risk of radon in general, but also to help the public identify which areas of the province are at a higher risk for exposure.
Spatial analysis of cycling patterns in Victoria, BC
My research interests lie in understanding the variables that influence cycling behaviour in Victoria, BC. Additionally, I am interested in publically sourced information and how it can be incorporated within academic research. My MSc will utilize publically sourced information through an online platform for reporting cycling incidents in the Capital Regional District (CRD). These data, combined with additional sources, will help identify cycling behaviour and potentially high risk areas that can inform policy related to cycling in urban environments.
Spatial analysis of marine mammals in British Columbia
I am passionate about marine conservation and coastal management in my home province of British Columbia. I am intrigued by how spatial analysis can be used to increase our understanding of the complex dynamics between humans and marine wildlife. In collaboration with the Raincoast Conservation Foundation, my M.Sc. research aims to model the distribution and density of 11 marine mammal species across coastal BC to identify regions of critical habitat. My work will also generate a spatial assessment of marine mammal risk to a variety of anthropogenic hazards to assess conservation concerns and inform management decisions in BC.
Spatial analysis of cycling incidents in the Capital Regional District
My research interests relate to the spatial analysis of cycling incidents and hazards reported by members of the cycling community. My long-term goals include informing policy related to infrastructure development and the promotion of cycling as a healthy and safe alternative means of transportation. As a long time cycle commuter, I am keenly aware of the challenges cyclists face in an urban environment and the historical lack of options for reporting hazards and incidents. I am interested in the development of user friendly platforms for gathering such volunteer geographic information from the cycling community. I am currently involved in the development of a mobile app that will be used to report hazards, visualize reports from other cyclists and provide real-time notification of reported hazards.
Wiebe Nijland received his PhD in Earth Sciences (2011) from Utrecht University in The Netherlands, his motherland. His main research interests are in the detection of ecosystem functioning and the use of spatial and temporal patterns to understand landscape processes. He uses remote- and proximal sensing technology to bridge a wide range process scales, supported by modeling and spatial statistics. Before coming to the Islands he worked as a postdoc in Nicholas Coops' IRSS lab at the Forestry faculty of UBC, mapping Grizzly Bear habitat and vegetation structure from Landsat, lidar, and camera networks. Wiebe is an enthusiastic photographer in visible wavelengths and beyond. He also likes to bike and enjoys the outdoors both above water and under, taking advantage of any opportunity to scubadive and photographing the underwater realm.
Coming from a background in Biology, I joined SPAR lab in 2007. I have been fortunate to work on a wide variety of projects, including the habitat selection of Alberta grizzly bears. I particularly enjoy writing and editing for SPAR lab. I am currently managing the BikeMaps.org project and work on promoting it with the general public. In my personal life, when I am not facilitating the sporting interests of my children I am likely running the beautiful trails around Victoria.
My work with the Hakai Beach Institute and the SPAR Lab has me researching a variety of spatial questions in coastal British Columbia. Some of my current projects involve mapping bathymetry, sea otter foraging sites, kelp mapping, ecosystem classification, hydrology research, provide high precision location data, and assist any cartographic needs that various researchers require. Through the SPAR Lab my aim is to expand the capacity and quality of spatial information in order to better understand the unique habitats on the Central Coast of British Columbia. Some of my past research interests include spatial analysis of southern Iraq and modelling climate change impacts on British Columbia’s biodiversity.
To find out more about the Hakai Beach Institute visit Hakai.org
My research is focused primarily on examining methods of mapping nearshore and marine habitats within a conservation context. My work with the Hakai Institute is twofold. Part of my work focuses on habitat mapping of nearshore ecosystems including kelp, seagrass and sediment using a variety of remote sensing tools (ie. satellite imagery, acoustics and drones). I work in concert with other Hakai researchers to study the physical and biological drivers and trends in these ecosystems. My second job is as the project manager for the 100 Islands Research Program at Hakai. This multidisciplinary undertaking seeks to understand how marine subsidies affect terrestrial biodiversity though an island biogeography lens for which Trisalyn is one of the primary investigators. I work to coordinate remote field work for a research crew doing mammal, invertebrate, terrestrial plant, seaweed and bird surveys. I also provide GIS and mapping support for the group.
You can read more about Hakai and the 100 Islands Program here
My interests lie in the development and deployment of user-friendly GIS applications for collecting publicly sourced data. Currently, I am working to develop a web mapping application that allows for public reporting of cycling accidents and near misses around the Capital Region. In the future, I hope to continue applying my skills to research and address community issues using participatory GIS systems and data mining techniques.


HugOS
I'm terribly sorry, but it looks like your browser doesn't support displaying videos in the weird and largely pointless way this page needs in order to work. Please try Chrome or Firefox on desktop.


Jewish_art_snood_will_deutsch.jpg BUY PRINT
Snood.
 A rip off of Taito’s popular ‘Bust-A-Move” video game, the 1996 puzzler involves grouping various series of disembodied heads in hopes of clearing the entire screen. So addicted was I to this time wasting device that I asked my roommates freshman year to delete it from my computer when I was away at class.
For others, it is one of many ways to cover your head. While Kippot tend to reap the glory of Jewish head coverings, it is common for women to use a Snood (as pictured), Scheitel (Wig) or Tichel (Headscarf) as headpieces. It is all part of Tznuit, a code of modesty and humility and practiced by many Jews. And one of the main reasons Kanye West will never be Orthodox.


Hi, I'm Kyle.
This website contains a portfolio of research and development I did while pursuing an M.A. in Music Science and Technology from Stanford CCRMA, the Center for Computer Research in Music and Acoustics. At CCRMA I had the opportunity to study audio signal processing, embedded systems, ambisonics, and design for audio-visual software applications. Previously, I completed a B.S. at Stanford in Symbolic Systems, completing interdisciplinary coursework in cognitive and computer science.
My research lies at the intersection of music, technology, and user-centered design. I enjoy the creation of products from the initial ideation stage, through prototyping and user research, to developing and implementing algorithms. I adhere strongly to the philosophy of lateral thinking, wherein it is considered better practice to iterate through ideas early in the process rather than go down the rabbit hole only to realize the design itself is flawed.
Currently I am focused on novel means of music creation — developing software plug-ins, tinkering with analog gear, and building my portfolio. If you have a professional or personal inquiry, you can send me a message at<EMAIL_ADDRESS>Or .. check out luhkee.biz.


--- title: Brian Milco permalink: /index.html layout: archive author_profile: true header: image: /assets/images/keyboard3-sm.jpg caption: "Photo credit: Brian Milco" --- {% include base_path %} {% capture written_year %}'None'{% endcapture %} {% for post in site.posts %} {% capture year %}{{ post.date | date: '%Y' }}{% endcapture %} {% if year != written_year %}


jQuery.validity Demo
Output Mode:
validity has three built-in Output-Modes: 'label', 'modal', and 'summary'. You will select the output
mode that is most appropriate for your application, or you may write your own custom output.
Below, the error summary will appear if an error is encountered and the outputMethod is set to 'summary'.
[Set to Label]
[Set to Modal]
[Set to Summary]
Validation Functions:
To use validity you will be attaching validation functions to form elements. A basic template for this process would be:
$(function() { $("form").validity(function() { // This is where you perform the validation. // You do this by finding elements with jQuery and then calling the validity methods on them. // For example: $("#number").require().match("number"); $("#date").require().match("date"); }); });
Now, whenever that form tries to submit, it will perform this function which will both raise errors, and ultimately determine whether the form actually submits.
Requiring Fields:
Below is a required field. For this demo, its id attribute is set to be 'req'. The 'require' method accepts a string of the error to display when an input fails. We validate with the code:
$('#req').require('A Name Is Required.');
Enter Your Name:
Format Validation:
Fields can be validated to match a regular expression format using the 'match' method. The following input is validated to only accept either an integer or nothing with the following code:
$('#qty1').match("integer", 'Quantity Must Be Formatted as an Integer.');
Optional: Enter Quantity:
Chaining:
You can chain your validator calls to build up a regimen of requirements the values must meet. Each validator returns a jQuery object of less or equal count as it was called with. If an input failes validation, it is excluded from the jQuery object that is returned. In this way, validators only act on inputs that passed validation in every preceding link of the chain.
$('#qty2') .require('Error: A Name Is Required.') .match("integer");
Required: Enter Quantity:
Equality:
Often, in account registration scenarios, we must check for the eqality of more than one input such as ensuring that a password matches its confirmation field. We can do this validation with a jQuery selector that returns all the fields which must be equal (in this case only two) and call the AreEqual method. Observe:
$("input[type='password']").equal('Error: Passwords do not match.');
Password: Confirm Password:
Uniqueness:
The converse to the areEqual method - where no two matched elements have different values - the areNotEqual method will validate that no two elements have the same value. This is useful in situations where repeat values are not allowed. (It should be noted that fields where no value is entered will be ignored.) We validate this in much the same way as the AreEqual:
$('input.Name').distinct("A name was repeated.");
Enter Names:
Have a look at the documentation at the wiki for a more complete look at the validation functions.


Welcome to my portfolio website. I am pursuing a career in the Computer Science industry. I hope to become a Web Developer, a Software Engineer or a programmer. I am currently enrolled at Northeastern Illinois University in Chicago, completing a Bachelors degree Computer Science with a concentration in Technical Programming.
Freelancer is a free bootstrap theme created by Start Bootstrap. The download includes the complete source files including HTML, CSS, and JavaScript as well as optional LESS stylesheets for easy customization.
Whether you're a student looking to showcase your work, a professional looking to attract clients, or a graphic artist looking to share your projects, this template is the perfect starting point!


{{template "header.html" .}} {{template "base.html" .}}
I am Toshiaki Takahashi, I'm working as a Front-end engineer. I like Chaplin.js using CoffeeScript. I enjoy books and curry. I aim to become a curry programmer!
You might also like my latest blog post, {{.result.Title}}
{{end}} {{template "footer.html" .}}


Setup:
    ✅   Upload this page to your Wi-Fi module.
    ✅   Open this page from http://your-wi-fi-module's-ip/files/text-page-to-micro.html.
    ✅   Run "Text Page to Micro Host.bs2" with your BASIC Stamp 2 module.
    🕮   More info at http://learn.parallax.com/pbasic-wx-wi-fi.html.


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Introduction
- The paper describes three design patterns for container-based distributed systems: single-container pattern, single-node pattern, and multi-node pattern.
- Link to the paper
Single-container management patterns
- Traditionally, containers have exposed three functions: run, pause and stop.
- A richer API can be implemented to provide fine-grained control to system developers and operators.
- Similarly, much more application information (including monitoring metrics) can be exposed.
- The container interface can be used to define a contract for a complex lifecycle. For example, instead of arbitrarily shutting down the container, the system could signal that it will be terminated, giving the container some time to perform some cleanup/follow-up actions.
Single-node, multi-container pattern
Sidecar pattern
- Multiple containers extend and enhance the main container.
- For example, a web-server serves from the local disk (main container) while a side container updates the data.
- Benefits:
- independent development, deployment, and scaling of containers
- possibility of combining different type of containers
- failure containment boundary, i.e., one failing container, need not bring down the entire system.
Ambassador pattern
- Proxy communication to and from the main container with the ambassador hiding the complexities of communication with a distributed (multi-shard system) that may be written in a different language.
Adapter pattern
- Standardize output and interfaces across the containers to provide a simple, homogenized view to external applications.
- A common example is using a single tool for collecting/processing metrics from multiple applications.
- This is different from the adapter pattern, which aims to provide a simplified view of the external world to an application.
Multi-node application patterns
Leader election pattern
- In a sharded (or replication-based) system, the system may have to elect a leader (or multiple leaders) among the replicas (or shards).
- Instead of using a leader election library, a leader election container can be used (that communicates with other containers over, say, HTTP). This removes the restriction of using a leader election library compatible with the containers (e.g., using the same language).
Work queue pattern
- A work coordinator container can queue different containers, each of which may have a different implementation or dependencies, thus removing the restriction that all the works use the same runtime.
Scatter/gather pattern
- An external client sends a request to a root container.
- This container fans out the request to many containers that may perform the computation in parallel.
- The root container gathers these parallel computations’ results and aggregates them into a response to the external client.


Farino, New Caledonia
Sentir de la Petite Cascade de Farino
This peaceful path through the jungle is surrounded by songbirds and complete with a waterfall.
This entry is a stub
Help improve Atlas Obscura by expanding Sentir de la Petite Cascade de Farino with additional information or photos.
This amazing trail is just a short walk from the parking area. Intrepid explorers can venture down this jungle pathway until they reach the waterfall at the path’s end. Located in the middle of the rainforest, the falls and trail are just a short drive from the administrative office of Farino. It’s a beautiful ride that offers some of the most amazing views of the island’s west coast.
The more the 2- mile walk (3.6km round-trip) is an easy trek along a well-marked path. The path takes you deep into the rainforest and along the creek that flows from the bottom of the falls. It’s easy to spot a few of New Caledonia’s endemic bird species and lizards along the path.
Know Before You Go
The parking lot from where you begin the hike is located at Le Refuge de Farino (a campground with tent spaces and cabins). There are signs along the way from Farino pointing you in this direction.
Community Discussion
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forum Visit our forums.


May 2019 - Present
UPS Software Developer Intern: Im currently an software developer intern at UPS. I joined my team in May, 2019 and helped them migrate their Quantum View Subscription Retrieval Service from ANT to Maven build and added multiple encryption/decryption systems using java. Since then I have been helping them develop, maintan, and deploy many application and features.
August 2017 - May 2019
Hewlett Packard-Technology Specialist: Able to provide troubleshooting assistance for customer orders, products including laptops and printers, and relevant problems. Stay up-to-date with new product and feature launches and ensure sales team is on board. Maintaining in depth knowledge on computer hardware and software. Provide data and guides to help the sales team. Manage sales tracking tools and report on important information


The Critic
Intelligent Hostile Faculty-oriented
Uh-oh, looks like your professor has overgeneralized Plato’s explication of the divided line again. Well, someone’s gotta properly express the nuances between the formal nature of objects and their empirical representation to the rest of the class, and it’s clearly not the guy writing the syllabus. Good thing you did the readings for today. Twice. It's easy to get your readings done when no one ever wants to be around you.
 Nothing gets past you. Whether you’re in HUM, SOSC, or the dining hall, you never fail to imperiously snark, “define your terms!” at unsuspecting “opponents” when your arguments inevitably lead you into trouble. You’re the guy who’s up debating free will at 4 am because you couldn’t let that shy, quiet kid in your SOSC class get away with assuming the incompatibility of Newtonian determinism and Sartrean freedom. Nice save!
The Asshole
Intelligent Hostile All-inclusive
Congratulations! You’re the flagship That Kid.  But what do they know? They didn’t read the collected works of Hegel in German. They all know you did, though, because you’ve mentioned your summer reading list in class 18 times. You’re a natural-born leader, and you embody the gifts of charisma and confidence. You’re such a leader that your own professor is intimidated by you. That’s probably why he left that snarky comment on your transcript.
The Guest Lecturer
Intelligent Non-hostile Peer-oriented
Lots of the material in the core is difficult and thorny. Good thing there is a highly qualified individual in the room prepared to lead these bewildered undergrads to understanding. You! Your role is to bring outside sources, brilliant insights, and a benevolent pretentiousness to the class discussion. The professor is there to answer questions and guide conversation, but only if you don’t get there first. Your leadership and insight are likely to move the discussion to a higher plane and to move you to the farthest corner at house parties.
The Disciple
Intelligent Non-hostile Faculty-oriented
Barack Obama once said that “to become God is the loneliest achievement of them all.” Think about that while you’re deifying your already lonely and clinically depressed Math 151 graduate lecturer. You don’t walk from class to class, rather you migrate from temple to temple, worshipping at the altars of those who inhabit the mystical plane of Ph.D. Like some sort of amoeba, you hungrily engulf without question everything these exalted Professors say. While you’re basking in the light of the these all knowing divinities, make sure not to be too obsequious lest your classmates get their eyes stuck in the backs of their heads. You’re pretty pathetic, but at least your prof likes it when you bring their exact starbucks order to office hours.
The Uninvited Philosopher
Intelligent Non-hostile All-inclusive
Socrates’ peers forced him to drink a cup of poison hemlock.  You merit a similar fate. From the moment you glimpsed the Forms in the first week of HUM, you have insufferably dragged your compatriots toward enlightenment against their wills. You have all of the answers, you fear not the great questions of existence, and you sleep easily at night, knowing your place in the universe. It’s also probably why you’re the only one in your bed.
 It’s likely that you are not just a That Kid, but that you are also a thoroughly pernicious individual. Nobody enjoys your smirks, scoffs, and guffaws when the professor writes h instead of ħ.  Since you didn't, we’ll say it to you again: If you don't have anything nice to say, don't say anything or your professor will dock your participation grade and your classmates will rise as one and slay you.
 You are saved.  All you have to do now is utter the magic phrase: “I’d just like to push back against that.” Participation grade saved. Now you can go back to pretentiously scribbling delta epsilon proofs with large handwriting so that your peers can see that you are A.) Very Very Smart, and B.) too cool for SOSC.
The Flailer
Unintelligent Hostile All-inclusive
Gambling addicts believe their next big win is just around the corner. You are pretty much the same. You’re going to get that next question right, and you’ll finally be able to tangentially relate your knowledge of greek mythology from the Percy Jackson Series to the Euthyphro dilemma. However, just like the gambler, you are wrong.   It's because your dumbass comments elicit a physical pain response.
The Rambler
Unintelligent Non-hostile All-inclusive
You did the reading and have a lot of thoughts.  Actually, more like a large agglomeration of notional fancies. You may almost have mastered the art of thinking out loud but you aren't quite Ed Sheeran and so you should probably stop which is not to say that all speech is bad of course but it is important to note that we don't think you will have any chance of getting laid if you don't stop talking which is not to say that your mountains of fluff don't contain any diamonds in the rough but what we mean to say is SHUT THE FUCK UP!
The Tryhard
Unintelligent Non-hostile Faculty-oriented
You never got your parents' approval, so now you try desperately to win your professor’s. Surely raising your hand all the time, nodding like a bobblehead on a backroad, and hogging their office hours will win them over! You come prepared for class with every text on the syllabus compressing your spine, polychrome notes that would make a Pantone rep jealous, and an insufferable willingness to learn and participate. You are like an F-22 raptor. A lean mean academic machine.  Only instead of an F-22, you’re more like a drone running Windows 2000.  Too bad life rewards results rather than effort.


Hundreds gather to remember high school shooting victim
SANTA CLARITA, Calif. (AP) - Hundreds of people gathered at a church to celebrate the life of one of two students killed at a high school in suburban Los Angeles.
The family and friends of Gracie Anne Muehlberger recounted stories Saturday at Real Life Church of a vibrant teenager who was admired for her smarts, humor and mischievousness, the Orange County Register reports.
Muehlberger, 15, and 14-year-old Dominic Blackwell were killed Nov. 14 when fellow student Nathaniel Tennosuke Berhow, 16, shot students at Saugus High School at random. Berhow died after he shot himself in the head.
The newspaper says a video montage at the memorial service showed Muehlberger dancing, laughing and singing.
Her father, Bryan said: "Thank you Gracie for sharing your soul with all of us."
Pastor Rusty George asked those at the service to continue reaching out to Gracie's family, the Register reports.
Copyright 2019 The Associated Press. All rights reserved. This material may not be published, broadcast, rewritten or redistributed.


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Public Member Functions | |
| DiagDRASLA (int nPoints0, double timeStep0, double edgeLength0, unsigned char dim0) | |
| void | passTracerFields (double *tracerFields0) |
| Pass pointer to the tracer fields array. | |
| void | updateTracerFields () |
| Copy data from the temporary storage for the tracer fields. | |
| void | updateSpaceAverages () |
| Calculate the space-averged tracer densities and variances. | |
| void | calcSpaceCorr (double time, double timeAvgWait) |
| void | appendToBuffer (double time) |
| Append new values to the buffer used to compute the time autocorrelations. | |
| int | getMaxValidTCorrShift () |
| void | calcTimeCorr () |
| void | updateRGB (double maxDensity=1) |
| Convert tracer fields snapshot to a 2D RGB matrix of size nPoints x nPoints. | |
| double | getTimeCorrT (int p) |
| Time shift corresponding to data stored in corrT at position p. | |
| double | getDistCorrR (int p) |
| Space shift corresponding to data stored in corrR at position p. | |
| int | getCorrTLen () |
| Length of time autocorrelation array. | |
| int | getCorrRLen () |
| Length of space autocorrelation array. | |
Public Attributes | |
| double * | tracerFields |
| Storage array for the tracer fields. | |
| unsigned char * | RGB |
| double * | corrXY |
| Space autocorrelations (2D). | |
| double * | corrR |
| Space autocorrelations (1D). | |
| double * | corrT |
| Time autocorrelations. | |
| double * | averages |
| Space averages of tracers. | |
| double * | variances |
| Variances of tracers. | |
Definition at line 22 of file diagDrasla.h.
| DiagDRASLA::DiagDRASLA | ( | int | nPoints0, |
| double | timeStep0, | ||
| double | edgeLength0, | ||
| unsigned char | dim0 | ||
| ) |
Constructor.
| nPoints0 | Number of grid points at one edge. |
| timeStep0 | Integration time step. |
| edgeLength0 | Edge length of the periodic square domain. |
| dim0 | Number of tracer fields. |
Definition at line 22 of file diagDrasla.cpp.
| void DiagDRASLA::calcSpaceCorr | ( | double | time, |
| double | timeAvgWait | ||
| ) |
Calculate space autocorrelations.
For time > timeAvgWait the estimates will be incrementally improved with each call to 'calcSpaceCorr' by averaging the results over time.
Definition at line 112 of file diagDrasla.cpp.
| void DiagDRASLA::calcTimeCorr | ( | ) |
Calculate time autocorrelations.
The implementation assumes that the tracer values have been appended to the buffer in equally-spaced time intervals.
Definition at line 183 of file diagDrasla.cpp.
| int DiagDRASLA::getMaxValidTCorrShift | ( | ) |
Get the maximal number of valid points for the time autocorrelation function estimates. The result depends on the number of values already appended to the buffer.
Definition at line 176 of file diagDrasla.cpp.
| unsigned char* DiagDRASLA::RGB |
Array holding values of tracer fields converted to RGB data.
Definition at line 59 of file diagDrasla.h.


| Total net profit | -10.74 | Gross profit | 12.64 | Gross loss | -23.38 |
| Profit factor | 0.54 | Expected payoff | -0.72 | ||
| Absolute drawdown | -18.62 | Maximal drawdown (%) | 22.02 (647.65%) | ||
| Total trades | 15 | Profit trades (% of total) | 8 (53.33%) | Loss trades (% of total) | 7 (46.67%) |
| Long positions (won %) | 4 (25.0%) | Short positions (won %) | 11 (63.64%) | ||
| Largest | profit trade | 2.5 | loss trade | -7.63 | |
| Average | profit trade | 1.58 | loss trade | -3.34 | |
| Minimum | profit trade | 0.21 | loss trade | -0.13 | |
| Maximum | take profit in pips | 0.0 | stop loss in pips | 0.0 | |
| Average | take profit in pips | 0.0 | stop loss in pips | 0.0 | |
| Minimum | take profit in pips | 0.0 | stop loss in pips | 0.0 | |
| Maximum | Reward-Risk | 0.0 | Duration in minutes | 3416 | |
| Average | Reward-Risk | 0.0 | Duration in minutes | 1251.8 | |
| Minimum | Reward-Risk | 0.0 | Duration in minutes | 4 | |
| Maximum | consecutive wins (profit in money) | 5.0 (7.88) | consecutive losses (loss in money) | 5.0 (-8.45) | |
| Average | consecutive wins | 1.0 | consecutive losses | 3.0 |
| Total net profit | -19.17 | Gross profit | 1.34 | Gross loss | -20.51 |
| Profit factor | 0.07 | Expected payoff | -4.79 | ||
| Absolute drawdown | -19.17 | Maximal drawdown (%) | 20.51 (1530.6%) | ||
| Total trades | 4 | Profit trades (% of total) | 1 (25.0%) | Loss trades (% of total) | 3 (75.0%) |
| Largest | profit trade | 1.34 | loss trade | -7.63 | |
| Average | profit trade | 1.34 | loss trade | -6.84 | |
| Minimum | profit trade | 1.34 | loss trade | -5.58 | |
| Maximum | take profit in pips | 0.0 | stop loss in pips | 0.0 | |
| Average | take profit in pips | 0.0 | stop loss in pips | 0.0 | |
| Minimum | take profit in pips | 0.0 | stop loss in pips | 0.0 | |
| Maximum | Reward-Risk | 0.0 | Duration in minutes | 3072.0 | |
| Average | Reward-Risk | 0.0 | Duration in minutes | 2183.3 | |
| Minimum | Reward-Risk | 0.0 | Duration in minutes | 1308.0 | |
| Maximum | consecutive wins (profit in money) | 1.0 (1.34) | consecutive losses (loss in money) | 3.0 (-20.51) | |
| Average | consecutive wins | 1.0 | consecutive losses | 3.0 |
| Total net profit | 8.43 | Gross profit | 11.3 | Gross loss | -2.87 |
| Profit factor | 3.94 | Expected payoff | 0.77 | ||
| Absolute drawdown | -0.81 | Maximal drawdown (%) | 2.87 (139.32%) | ||
| Total trades | 11 | Profit trades (% of total) | 7 (63.64%) | Loss trades (% of total) | 4 (36.36%) |
| Largest | profit trade | 2.5 | loss trade | -1.57 | |
| Average | profit trade | 1.61 | loss trade | -0.72 | |
| Minimum | profit trade | 0.21 | loss trade | -0.13 | |
| Maximum | take profit in pips | 0.0 | stop loss in pips | 0.0 | |
| Average | take profit in pips | 0.0 | stop loss in pips | 0.0 | |
| Minimum | take profit in pips | 0.0 | stop loss in pips | 0.0 | |
| Maximum | Reward-Risk | 0.0 | Duration in minutes | 3416.0 | |
| Average | Reward-Risk | 0.0 | Duration in minutes | 913.1 | |
| Minimum | Reward-Risk | Duration in minutes | 4.0 | ||
| Maximum | consecutive wins (profit in money) | 6.0 (9.24) | consecutive losses (loss in money) | 4.0 (-2.87) | |
| Average | consecutive wins | 1.0 | consecutive losses | 4.0 |


aftereffects.guide
Learn After Effects➞
The complete guide to learning Adobe After Effects.
Organize After Effects➞
After Effects project organization and workflow best practices.
The complete guide to learning Adobe After Effects.
After Effects project organization and workflow best practices.


JavaScript is the programming language of HTML and the Web.
Programming makes computers do what you want them to do.
JavaScript is easy to learn.
This tutorial will teach you JavaScript from basic to advanced.
Examples in Each Chapter
To get what javascript can do on your web pages, click on the button below.
My First JavaScript
Make sure you follow the instructions throughout.
Introduction
JavaScript is the most popular programming language in the world.
This page contains some examples of what JavaScript can do.
JavaScript Can Change HTML Content
One of many HTML methods is getElementById().
This example uses the method to "find" an HTML element (with id="demo"), and changes the element content (innerHTML) to "Hello JavaScript":
Changing the style of an HTML element, is a variant of changing an HTML attribute:
Example:
function myFunction() {
var x = document.getElementById("demo");
x.style.fontSize = "25px";
x.style.color = "red";
}
Output
JavaScript does NOT have any built-in print or display functions.
JavaScript Display Possibilities
JavaScript can "display" data in different ways:
Writing into an alert box, using window.alert().
Writing into the HTML output using document.write().
Writing into an HTML element, using innerHTML.
Writing into the browser console, using console.log().
Syntax
JavaScript syntax is the set of rules, how JavaScript programs are constructed.
JavaScript Programs
A computer program is a list of "instructions" to be "executed" by the computer.
In a programming language, these program instructions are called statements.
JavaScript is a programming language.
JavaScript statements are separated by semicolons.
Example:
var x = 5;
var y = 6;
var z = x + y;
JavaScript Values
The JavaScript syntax defines two types of values: Fixed values and variable values.
Fixed values are called literals. Variable values are called variables.
JavaScript Literals
The most important rules for writing fixed values are:
Numbers are written with or without decimals:
Statements
JavaScript statements are composed of:
Values, Operators, Expressions, Keywords, and Comments.
JavaScript Programs
Most JavaScript programs contain many JavaScript statements.
The statements are executed, one by one, in the same order as they are written.
In this example, x, y, and z is given values, and finally z is displayed:
Note:A javascript statement must always end in semi-colon.
Example:
var x = 5;
var y = 6;
var z = x + y;
document.getElementById("demo").innerHTML = z;
Comments
JavaScript comments can be used to explain JavaScript code, and to make it more readable.
JavaScript comments can also be used to prevent execution, when testing alternative code.
Single Line Comments
Single line comments start with //.
Any text between // and the end of the line, will be ignored by JavaScript (will not be executed).
This example uses a single line comment before each line, to explain the code:
Example:
// Change heading:
document.getElementById("myH").innerHTML = "My First Page";
// Change paragraph:
document.getElementById("myP").innerHTML = "My first paragraph.";
Multi-line Comments
Multi-line comments start with /* and end with */.
Any text between /* and */ will be ignored by JavaScript.
This example uses a multi-line comment (a comment block) to explain the code:
Example:
/*
The code below will change
the heading with id = "myH"
and the paragraph with id = "myP"
in my web page:
*/
document.getElementById("myH").innerHTML = "My First Page";
document.getElementById("myP").innerHTML = "My first paragraph.";
Variables
JavaScript Variables
In a programming language, variables are used to store data values.
JavaScript uses the var keyword to declare variables.
An equal sign is used to assign values to variables.
In this example, x is defined as a variable. Then, x is assigned (given) the value 6:
Example:
var pi = 3.14;
var person = "John Doe";
var answer = 'Yes I am!';
var x;
x = 6;
JavaScript Data Types
JavaScript variables can hold numbers like 100, and text values like "John Doe".
In programming, text values are called text strings.
JavaScript can handle many types of data, but for now, just think of numbers and strings.
Strings are written inside double or single quotes. Numbers are written without quotes.
If you put quotes around a number, it will be treated as a text string.
Operators
JavaScript Operators
JavaScript uses an assignment operator ( = ) to assign values to variables:
var x = 5;
var y = 6;
Arithmetic
JavaScript Arithmetic Operators
Arithmetic operators perform arithmetic on numbers (literals or variables).
Adding
var x = 5;
var y = 2;
var z = x + y;
Subracting
var x = 5;
var y = 2;
var z = x - y;
Multiplying
var x = 5;
var y = 2;
var z = x * y;
Dividing
var x = 5;
var y = 2;
var z = x/y;
Incrementing
var x = 5;
x++;
var z = x;
Decrementing
var x = 5;
x--;
var z = x
Assignment
JavaScript Assignment Operators
Assignment operators assign values to JavaScript variables.


class FitnessFunctions(object):
collection of objective functions.
| Static Method | binval |
return sum_i(0 if (1 <= x[i] < 2) else 2**i)**(1/n) |
| Static Method | leadingones |
return len(x) - nb of leading-ones-in-x, where only |
| Method | __init__ |
Undocumented |
| Method | absplussin |
multimodal function with the global optimum at x_i = -1.152740846 |
| Method | branin |
Undocumented |
| Method | bukin |
Bukin function from Wikipedia, generalized simplistically from 2-D. |
| Method | cigar |
Cigar test objective function |
| Method | cigtab |
Cigtab test objective function |
| Method | cigtab2 |
cigtab with 1 + 5% long and short axes. |
| Method | cornerelli |
Undocumented |
| Method | cornerellirot |
Undocumented |
| Method | cornersphere |
Sphere (squared norm) test objective function constraint to the corner |
| Method | diagonal |
Undocumented |
| Method | diffpow |
Diffpow test objective function |
| Method | elli |
Ellipsoid test objective function |
| Method | elliconstraint |
ellipsoid test objective function with "constraints" |
| Method | ellihalfrot |
return ellirot(x[:N2]) + elli(x[N2:]) where N2 is roughly frac*len(x) |
| Method | ellirot |
Undocumented |
| Method | elliwithoneconstraint |
Undocumented |
| Method | epslow |
Undocumented |
| Method | epslowsphere |
TODO: define as wrapper |
| Method | fetch |
Fetch GECCO BBOB 2009 functions from WWW and set as self.BBOB . |
| Method | flat |
Undocumented |
| Method | fun |
fun_as_arg(x, fun, *more_args) calls fun(x, *more_args). |
| Method | goldsteinprice |
Undocumented |
| Method | grad |
Undocumented |
| Method | grad |
Undocumented |
| Method | grad |
symmetric gradient |
| Method | grad |
Undocumented |
| Method | grad |
Undocumented |
| Method | grad |
Undocumented |
| Method | grad |
Undocumented |
| Method | griewank |
Undocumented |
| Method | halfelli |
Undocumented |
| Method | happycat |
a difficult sharp ridge type function. |
| Method | hyperelli |
Undocumented |
| Method | levy |
a rather benign multimodal function. |
| Method | lincon |
ridge like linear function with one linear constraint |
| Method | linear |
Undocumented |
| Method | lineard |
Undocumented |
| Method | noise |
Undocumented |
| Method | noise |
Undocumented |
| Method | noisysphere |
noise=10 does not work with default popsize, cma.NoiseHandler(dimension, 1e7) helps |
| Method | normal |
Undocumented |
| Method | optprob |
Undocumented |
| Method | partsphere |
Sphere (squared norm) test objective function |
| Method | pnorm |
Undocumented |
| Method | powel |
Undocumented |
| Method | rand |
Random test objective function |
| Method | rastrigin |
Rastrigin test objective function |
| Method | ridge |
Undocumented |
| Method | ridgecircle |
a difficult sharp ridge type function. |
| Method | rosen |
Rosenbrock test objective function |
| Method | rosen |
Undocumented |
| Method | rosen |
needs exponential number of steps in a non-increasing f-sequence. |
| Method | rosenelli |
Undocumented |
| Method | rot |
returns fun(rotation(x), *args), ie. fun applied to a rotated argument |
| Method | schaffer |
Schaffer function x0 in [-100..100] |
| Method | schwefel2 |
Schwefel 2.22 function |
| Method | schwefelelli |
Undocumented |
| Method | schwefelmult |
multimodal Schwefel function with domain -500..500 |
| Method | sectorsphere |
asymmetric Sphere (squared norm) test objective function |
| Method | somenan |
returns sometimes np.NaN, otherwise fun(x) |
| Method | sphere |
Sphere (squared norm) test objective function |
| Method | sphere |
Sphere (squared norm) test objective function |
| Method | spherew |
Sphere (squared norm) with sum x_i = 1 test objective function |
| Method | spherewithnconstraints |
Undocumented |
| Method | spherewithoneconstraint |
Undocumented |
| Method | styblinski |
in [-5, 5] found also in Lazar and Jarre 2016, optimum in f(-2.903534...)=0 |
| Method | subspace |
No summary |
| Method | tablet |
Tablet test objective function |
| Method | trid |
Undocumented |
| Method | twoaxes |
Cigtab test objective function |
| Method | xinsheyang2 |
a multimodal function which is rather unsolvable in larger dimension. |
| Class Variable | evaluations |
Undocumented |
| Instance Variable | BBOB |
Undocumented |
| Method | _fetch |
Fetch GECCO BBOB 2009 functions from WWW and set as self.BBOB . |
return len(x) - nb of leading-ones-in-x, where only
values in [1, 2) are considered to be "equal to" 1.
Bukin function from Wikipedia, generalized simplistically from 2-D.
http://en.wikipedia.org/wiki/Test_functions_for_optimization
cigtab with 1 + 5% long and short axes.
n_axes: int
, if > 0, sets the number of long as well as short
axes to n_axes
, respectively.
fun_as_arg(x, fun, *more_args) calls fun(x, *more_args).
Use case:
fmin(cma.fun_as_arg, args=(fun,), gradf=grad_numerical)
calls fun_as_args(x, args) and grad_numerical(x, fun, args=args)
needs exponential number of steps in a non-increasing f-sequence.
x_0 = (-1,1,...,1) See Jarre (2011) "On Nesterov's Smooth Chebyshev-Rosenbrock Function"
a multimodal function which is rather unsolvable in larger dimension.
>>> import functools >>> import numpy as np >>> import cma >>> f = functools.partial(cma.ff.xinsheyang2, termination_friendly=False) >>> X = [(i * [0] + (4 - i) * [1.24]) for i in range(5)] >>> for x in X: print(x) [1.24, 1.24, 1.24, 1.24] [0, 1.24, 1.24, 1.24] [0, 0, 1.24, 1.24] [0, 0, 0, 1.24] [0, 0, 0, 0] >>> ' '.join(['{:.3}'.format(f(x)) for x in X]) # [np.round(f(x), 3) for x in X] '0.091 0.186 0.336 0.456 0.0'
One needs to solve a trinary deceptive function where f-value (to be minimized) is monotonuously decreasing with increasing distance to the global optimum >= 1. That is, the global optimum is surrounded by 3^n - 1 local optima that have the better values the further they are away from the global optimum.
Conclusion: it is a rather suspicious sign if an algorithm finds the global optimum of this function in larger dimension.
See also http://benchmarkfcns.xyz/benchmarkfcns/xinsheyangn2fcn.html


Satellite Mission Will Investigate Whether Reality Is Pixelated
by Dan RobitzskiChunky Or Smooth?
A team of astronomers has a plan to launch a massive swarm of tiny spacecraft and investigate the fabric of our reality.
The mission, GrailQuest, aims to settle a longstanding debate among physicists, according to Live Science: whether spacetime is the continuous fabric described by general relativity or the chunky, pixelated jumble of discrete objects described by quantum mechanics. If it pans out, it could completely upend our understanding of the universe.
Early Blueprints
GrailQuest is still in its early stages — Live Science reports that the fleet of satellites would launch sometime between 2035 and 2050, so we have plenty of time before we have to rewrite the physics textbooks.
At the moment, the project exists as a European Space Agency proposal shared to the preprint server ArXiv. The size and number of satellites hasn’t been sorted out yet, but the idea is to position them in a wide array so that they can measure gamma rays that have been hurtling through space for billions of years.
Comparing Notes
If those measurements suggest that the speed of those light rays has shifted away from the, well, speed of light, then it could be interpreted as evidence that spacetime is discrete. If not, then it would support the smooth fabric hypothesis.
But part of the challenge is equipping the spacecraft with sensitive enough equipment to spot the difference — Live Science reports that they’ll have to be a billion times more sensitive than today’s best sensors.
READ MORE: What If Space-Time Were ‘Chunky’? It Would Forever Change the Nature of Reality. [Live Science]
More on spacetime: Bizarre Black Hole “Drags” Spacetime, Blasts Wobbling Plasma Jets


WITNESS LIST
Veteran Affairs & Border Security
May 22, 2018 10:00 AM
State-Delivered Federal Services
ON:
Archer, Tom DAV (also providing written testimony) (Self; DAV), Paris, TX
Brennan, Jim Legislative Director (Texas Coalition of Veterans Organizationa), Austin, TX
Bronson, Hannah Creative Forces Music Therapist (also providing written testimony)
(Self; Creative Forces : National Endowment for the Arts Healing Arts Partnership), Austin,
TX
Cantu, Eliseo Chairman (also providing written testimony) (Texas veterans commission),
Austin, TX
Dufrene, Emile Veterans Service Center Manager (also providing written testimony) (U.S.
Dept of Veterans Affairs), Houston, TX
Graham, Ann S Executive Director (Texans for the arts), Austin, TX
Hedge, James Assistant Director (also providing written testimony) (Department of
Veterans Affairs, Veterans Benefits Admin.), Houston, TX
Hupp, Suzanna Director of Veterans Services (also providing written testimony) (Th health
and human services commission), Austin, TX
Mckinny, John (Self; American Legion Dept of Texas), Dripping Springs, TX
Palladino, Thomas Executive Director (Texas Veterans Commission), Austin, TX
Rath, Diane (also providing written testimony) (Alamo area council of governments), San
antonio, TX
Wilder, Sam Colonel Ret. (also providing written testimony) (Self; Military Officers Assn
of America Tecas Council of Chapters), Prosper, TX
Registering, but not testifying:
ON:
Sheetz, Sam (Self), Dallas, TX
Wise, Debbie Access and Eligibility Services (The health and human services commission),
Austin, TX
Veterans Health
ON:
Archer, Tom DAV (also providing written testimony) (Self; DAV), Paris, TX
Beauchamp, Leslee USAF Retired (Self; Concerned Veterans for America), San Angelo,
TX
Blackshear, Cornelius Manager, Mission United 211 (United Way of Greater Houston),
Houston, TX
Booker, James Sr Field Director (also providing written testimony) (Self; Concerned
Veterans for America), San Antonio, TX
Brennan, Jim Legislative Director (Texas Coalition of Veterans Organizationa), Austin, TX
Bronson, Hannah Creative Forces Music Therapist (also providing written testimony)
(Self; Creative Forces : National Endowment for the Arts Healing Arts Partnership), Austin,
TX
Cantu, Eliseo Chairman (also providing written testimony) (Texas veterans commission),
Austin, TX
Duerstine, Russell Cva Texas Coalitions Director (Self; Concerned veterans for America),
San Angelo, TX
Graham, Ann S Executive Director (Texans for the arts), Austin, TX
WITNESS LIST
Veteran Affairs & Border Security
May 22, 2018 10:00 AM
Hall, Eric (Self; Concerned Veterans for America), Frisco, TX
Henderson, Allan (Self; Concerned Veterans for America), San Angelo, TX
Holliday, Stephen (also providing written testimony) (VA), San antonio, TX
Howard, Thomas Vfw. State surgeon (also providing written testimony) (Texas Veterans of
Foriegn Wars), Garland, TX
Hupp, Suzanna Director of Veterans Services (also providing written testimony) (Th health
and human services commission), Austin, TX
Jones, Wendell (also providing written testimony) (Dept of Veterans Affairs), Arlington,
TX
Keesling, Tim Director, Veterans Mental Health (also providing written testimony) (Texas
Veterans Commission), Austin, TX
Kirkpatrick, Vera Spouse of Retired CSM US ARMY/ Nurse (Self; Concerned Veterans for
America), San Angelo, TX
Mckinny, John (Self; American Legion Dept of Texas), Dripping Springs, TX
Mitchell, Kyle (Meadows Mental Health Policy Institute), Austin, TX
Palladino, Thomas Executive Director (Texas Veterans Commission), Austin, TX
Rath, Diane (also providing written testimony) (Alamo area council of governments), San
antonio, TX
Thomas, Alexander Mr. (Self; Concerned Veterans for America), Houston, TX
Wilder, Sam Colonel Ret. (also providing written testimony) (Self; Military Officers Assn
of America Tecas Council of Chapters), Prosper, TX
Registering, but not testifying:
ON:
Beauchamp, Julie Disable Marine (Self; Concerned Veterans for America), Brady, TX
Bomham, Taylor (Self; Concern Veterans For America), Weatherford, TX
Gehrke, Ryan (Self), Plano, TX
Heather Greener, Gail Dr (Self), San antonio, TX
Hill, Brian (Self; Cva), San angelo, TX
Raymond, Kandace (Self; Concerned Veterans For America), Abilene, TX
Regan, Megan (Self; Cva), San angelo, TX
Sheetz, Sam (Self), Dallas, TX
Tillman, Sarah Office of mental health coordination (The health and human services
commission), Austin, TX


{% extends "modal_form.html" %} {% block pre_form_content %} {{ block.super }} Are you sure you wish to unallocate all stock for this build? {% endblock %}


Your settings have been saved!
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BLUEUROMILLIONS
Ex-Rangers chief Craig Whyte was urged to try and tempt Euromillions winners to invest in the club
by Douglas WalkerCRAIG Whyte was told to ask Colin and Christine Weir for a day out at Rangers — 24 hours after they scooped their EuroMillions jackpot.
Finance expert David Grier urged the Light Blues supremo to try and tempt the £161million couple to invest in the stricken club.
But his cash plan was scuppered when it emerged the Weirs, from Largs, Ayrshire, were Partick Thistle fans.
A source said of the 2011 plot: “Whyte was desperate to attract more investment.
“He would have happily sold 20 per cent of his share to the ‘great and good’ of Glasgow.
“The Weirs would have been perfect with all the money they had come into.
“A charm offensive would have been launched to entice them. But sadly they were Thistle fans.”
Mr Grier, who later worked for Gers administrators Duff & Phelps, wrote in an email: “See a couple from Largs have won £160million.
"Let’s find out if Rangers fan and invite to the club.”
The Ibrox club went bust less than a year later over a £9million unpaid tax bill.
We can also reveal a mystery female was prepared to pump £5million into the ailing giants.
She pulled out at the 11th hour as it emerged Mr Whyte was previously banned from being a company director.
The source added: “She was offered a seat in the directors box for life.”
Colin, 71, and Christine, 62, split in April.
Colin bought control of his beloved Jags last week.


An On/off control that toggles the state of a single settings option. The option that the toggle controls, as well as the state it’s in, should be made clear from the corresponding inline label. Toggles take on the same visual properties of the radio button.
In the next example we will show you how you can change the attributes of the slide toggle.


Your pet needs care, attention, and excercise to be happy. Try choosing from the options below and see how your pet responds!
 Click the button to go enjoy the great outdoors with your pet.


| vec_ptype_full {vctrs} | R Documentation |
vec_ptype_full()
displays the full type of the vector. vec_ptype_abbr()
provides an abbreviated summary suitable for use in a column heading.
vec_ptype_full(x, ...) vec_ptype_abbr(x, ..., prefix_named = FALSE, suffix_shape = TRUE)
x |
A vector. |
... |
These dots are for future extensions and must be empty. |
prefix_named |
If |
suffix_shape |
If |
A string.
The default method for vec_ptype_full()
uses the first element of the
class vector. Override this method if your class has parameters that should
be prominently displayed.
The default method for vec_ptype_abbr()
abbreviate()
s vec_ptype_full()
to 8 characters. You should almost always override, aiming for 4-6
characters where possible.
These arguments are handled by the generic and not passed to methods:
prefix_named
suffix_shape
cat(vec_ptype_full(1:10)) cat(vec_ptype_full(iris)) cat(vec_ptype_abbr(1:10))


Source
PAUL contract enforcement is based on and is an extension of the features
T. Dahlgren integrated into Babel, the language interoperability toolkit
for Scientific Computing. The capabilities were originally prototyped as
part of her doctoral research.


sf_contour.geo
Polygon color
by elevation
[ -40, 79.4 ]
( 79.4, 198.8]
( 198.8, 318.1]
( 318.1, 437.5]
( 437.5, 556.9 ]
( 556.9, 676.3 ]
( 676.3, 795.6 ]
( 795.6, 915.0 ]


Revisiting Our Game
Looking at our game from Volume 2, let's see how we can use objects to write the code differently.


Managed company's official Wechat account, contributed the entire e-commerce website contents, developed strategy to grow the Chinese fan base of specialty coffee, achieved 2500+ subscribers within 8 months;
Directed customers and market research on coffee consumption in China. Worked closely with customers to understand their needs in each level of coffee consumptions;
Conducted effective business development to build and maintain trusted partnership with 13 Seattle area top coffee roasters.
Key member in listed company service teams of China Mobile Ltd. (NYSE: CHL), Simcere Pharmaceutical Group (NYSE:SCR), and Sharp Electronic Corporation (TYO: 6754).
Provided audit services to large state-owned enterprises in China, as well as local private companies. The work included annual statutory audit under PRC GAAP, listed companies audit and quarterly review in NYSE and HKEX, and internal control review under SOX 404.
Familiar with audit procedures, reviewed the financial information and internal controls. Summarized the audit findings and issued the analytic memorandum to the program manager.
Helped managers to conduct different business researches, which included the summary of disclosures in listed companies by industries. Researched and reported newly published laws and regulations to upper management.


Push Notifications: Request
LMS Middleware: Request Blackboard
Course Scheduler:
Classroom Capture: Request
Desktop Capture: Requested
Push Notifications: Send
Classroom Capture: Enabled
Desktop Capture: Enabled
Classroom Capture: Denied


log
, logf
—natural logarithms#include <math.h> double log(double x); float logf(float x);
Description
Return the natural logarithm of x, that is, its logarithm base e
(where e is the base of the natural system of logarithms, 2.71828...).
log
and logf
are identical save for the return and argument types.
Returns
-HUGE_VAL
and errno
is set to ERANGE
.
When x is negative, the returned value is NaN (not a number) and
errno
is set to EDOM
.
Portability
log
is ANSI. logf
is an extension.


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New airline administrator
Username:
Password:
Repeat password:
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this is the first page we're going to start with for the project.
This is just a simple demo.
The url I take shall be previewed over here.
After that various options will be shown.
This will be shown as a part of a page.
The user can go from here to the original page or can choose to take any action.
Here the URL will be placed
this will be removerSS
The name of the second page
this is the second page we're going to start with for the project.
This is just a simple demo.
The url I take shall be previewed over here.
After that various options will be shown.
This will be shown as a part of a page.
The user can go from here to the original page or can choose to take any action.


Elastic SVG Elements
Adding elasticity with SVG shape animations
Previous Demo
/
Back to the Codrops Article
Sidebar Menu
Pull-Up Menu
Drop-down Menu
Drag & Drop
Collapse & Expand
Menu Icon
Circular Menu
Inputs
Buttons
Your name
Your email
Click, hold & release:
Receive notifications
Allow email alerts
Newsletter digest
Daily newsletters
If you enjoyed this demo you might also like:
Animated Checkboxes
Shape Hover Effect


STAR WARS: EPISODE 1- THE PHANTOM MENACE RATING: 8 / 10 --> Great movie
For more reviews and movie quizzes, visit http://www.joblo.com/
I am not a Star Wars fanatic, but I do love the Star Wars movies, and own the first three in my personal collection (A little background on the critic always helps...). This first episode of the Star Wars films goes back 30-odd years before the first movie took place, and uncovers the origins of many of the films' biggest attractions, with an emphasized focus on the young Anakin Skywalker, later known simply as Darth Vader.
PLOT: Suffice it to say that there is plenty of turmoil in the galaxy, and Queen Amidala needs the protection of two Jedis in an attempt to save her people from further suffering. Along their route, the Jedis pick up a bizarre creature who helps them out (sort of), and a young boy, who carries within him a very strong kinship to the Force.
CRITIQUE: A visual feast. This movie is a perfect example of why the word "eye-candy" was invented. More enjoyable than THE RETURN OF THE JEDI, but not as interesting as THE EMPIRE STRIKES BACK or STAR WARS, this film smashes all previous science-fiction flicks and their claim to futuristic authenticity with a flawless display of humans, robots, droids and every other kind of freakazoid in the universe, meched into a wonderful world of special effect wizardry of a society living in a galaxy far, far away...a long, long time ago. Every scene contains plenty of beautiful and impeccably integrated pieces of an artificial world made real by the genius of a man named George Lucas. This film is a joy to watch and a wonder to inhabit.
Having said that, I found the story line confusing, a little slow in the midsection, and ultimately boring. I won't numb you with the details of the plot, but the bottom line is that there are bad guys, and there are good guys. The Trade Federation, chancellors, blockades, I could do without. Not very interesting. That being said, there is always something fantastic to keep your eyes on at all times, so boredom was never really a big issue with me. I also enjoyed the whole "getting to know" your characters information, with plenty of background info on most of the prime members of the Star Wars universe, and some fun cameos as well. The actors also kept up their end of the bargain with Liam Neeson excellent as the main Jedi Knight, and Natalie Portman pulling off a solid Queen. The little kid was also pretty good, but Sam Jackson distracting, due mostly to his enormous presence.
My favorite new character was without a doubt Darth Maul who seemed to ooze evil and had some cool light-sabering scenes with the Jedis. Too bad they decided to use him in very little of the film. I also dug on young Anakin's boss early on in the film, who is a perfect example of a CGI-created character, who was fun to watch, and not overdone. On the other hand, my least favorite new character is one that has seemed to rub many adults the wrong way, and that is Jar-Jar Binks, the CGI-generated creature, which annoyed me mostly because I didn't understand 3/4 of the things that he was babbling about. Anyway, enough about him has been said already.
All in all, the film managed to enrapture me in its web of fantasy and space adventure, strapping me in with its impeccable array of computer-generated characters, holding me down with its great action scenes and interesting background info, and blasting me off and into its exquisitely created universe of special effect magic, majestic palaces and quaint villages, and visually stunning characters.
Note: Forget the hype, forget this review, cleanse your mind.
Little Known Facts about the movie and its stars: (courtesy of the IMDb) George Lucas reportedly wrote this film in the same binder of yellow ruled paper in which he wrote the original STAR WARS, and apparently financed this $110-million film entirely out of his own personal stash. The character of JarJar Binks was named by George Lucas' son, Jett. During filming Ewan McGregor made lightsaber noises as he dueled. It was noted and corrected during filmmaking. McGregor is the real-life nephew of Denis Lawson, who played Rebel pilot Wedge Antilles in the original STAR WARS. In 1997, a fierce sandstorm destroyed several of the Tatooine sets in the desert ouside of Tozeur, Tunisia. Filming resumed two days later. Director George Lucas considered this a good omen, as the very same thing had happened during filming of the original STAR WARS in 1977. Natalie Portman re-dubbed nearly all of her lines after filming was completed. Lucas' reasoning was that her voice has changed mildly during filming and there was bad background noise during several of her other scenes. Her Queen Amidala's throne-room dress took eight weeks to design. During the first week of the first trailer's release, many theatres reported up to 75% of their audiences paying full price for a movie, then walking out after the Star Wars: Episode I trailer was shown.
Review Date: May 19, 1999 Director: George Lucas Writer: George Lucas Producer: Rick McCallum Actors: Liam Neeson as Qui-Gon Jinn Ewan McGregor as Obi-Wan Kenobi Natalie Portman as Queen Amidala Jake Lloyd as Anakin Skywalker Genre: Science-Fiction Year of Release: 1999 --------------------------------------- JoBlo's Movie Emporium http://www.joblo.com --------------------------------------- (c) 1999 Berge Garabedian
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


{{ define "main" }}
I hope the conversation and text below helps you understanding the error:
Maybe you have typed the URL wrong, maybe I have moved the file, maybe the file never existed or is not available temporarily.
If you need it, feel free to contact me<EMAIL_ADDRESS>The background image of the fake chat is a work of Tim Mossholder.
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Since you are familiar with both .NET and Flex you will
be cruising in a second. Below is a brief summary to keep in
mind when integrating Flex with .NET by the means of WebORB:
The goal of this guide is to demonstrate a Flex
Remoting invocation of a method in a .NET class. The
steps below will guide you through the process.
The simplest way to get started is to use the default
installation of the product. Later you can use the
"Deployment" feature of this console to deploy to the
product to any other virtual directory.
The physical location of the WebORB installation on
the disk should be /Inetpub/wwwroot/weborb, which
corresponds to the
http://locahost/weborb path. Below is a brief
summary of the installation directory structure:
virtual
directory
root
│
├─bin
│
├─console
│
├─examples
│ │
│ ├─flex
│ │
│ ├─flash
│ │
│ └─ajax
│
├─logs
│
├─WEB-INF
│ │
│ └─flex
│
└─weborbassets
│
├─codegen
│
└─uploads |
- contains weborb configuration file
(weborb.config),
database files used by examples
- contains application's assembly files
- contains weborb console files
- weborb examples (should be accessed
through the console)
- weborb log files
- flex integration configuration
files
- contains code generation templates
(used by console)
- placeholder for flex file upload |
Developing a .NET class
The example used in this guide will
be invoking the C# method shown below. The method
creates and returns a data structure with some basic
information about the server-side environment:
|
using System;
using System.Web;
namespace
GettingStarted.Examples
{
public class
ComputerInfoService
{
public
ComputerInfo getComputerInfo( String
requestId )
{
ComputerInfo computerInfo =
new ComputerInfo();
computerInfo.serverName = Environment.MachineName;
computerInfo.clrVersion = Environment.Version.ToString();
computerInfo.clrVendor = "Microsoft";
computerInfo.os = Environment.OSVersion.Platform.ToString();
computerInfo.osVersion = Environment.OSVersion.Version.ToString();
computerInfo.requestId = requestId;
return computerInfo;
}
}
public class
ComputerInfo
{
public string
serverName;
public string
clrVersion;
public string
clrVendor;
public string
os;
public string
osVersion;
public string
requestId;
}
}
|
The next step is to compile the .NET
code and deploy it into WebORB.
You can copy and paste the code as it is shown above
or download the source (and the compiled assembly
DLL) from
here.
If you would like to skip the compilation step and
proceed to the deployment, use the assembly included
in the zip file. Otherwise create a Visual Studio
project to produce a class library from the code
shown above.
Deploying .NET assembly
There are two ways to deploy an
assembly:
-
You can copy the assembly dll
into the /bin folder of the weborb ASP.NET
application
or
-
Use the "Deployment" tab of this
management console to upload assembly into the
selected, weborb-enabled virtual directory.
The end result should be the same -
the classes from the deployed assembly can be
invoked from Flex.
Using WebORB Console to
Inspect/Invoke a .NET class
The "Services" tab of the management
console can ensure the classes are
recognized by WebORB. The Service
Browser in the Services tab lets you locate a class by
navigating the namespace tree. Once a class is
selected, the console generates the client-side code
required to access the remote class. You do not have
to use the generated code and can easily create your
own (see instructions below).
Additionally,
if a class method is selected, the console switches
to the "Test Drive" tab which lets you invoke the
remote method right from the console. The console
inspects the signature of the method and builds a
dynamic interface to allow the user to enter
argument values. For example, for the method shown
above, there would be just one field for the "requestId"
argument. Once you enter the argument values, click
the "Invoke" button to perform a remote method
invocation for the selected method. The console
displays the return value in a tree-like data
structure.
Creating a Flex Project
Run Flex Builder 2.0 and select File
-> New -> Flex Project. A dialog window shown below
will appear. Make the selections as it is shown
below and click "Next >".
The next step is very important as
it establishes the configuration paths. Clear the
checkbox and enter the paths as they are shown in
the image below:
Click "Next >" to continue.
The next step is to assign a name to
the Flex project. Enter "GettingStartedProject" as
the name and click "Finish" to finalize the creation
of the project. Flex Builder creates an empty Flex
application. The steps below will guide through
building a Flex application and connecting it with a
.NET object.
Flex client code
Client side application's logic for
this example is very straightforward. The code
must create a RemoteObject to invoke the remote
method and have controls to visualize server
response. The code below demonstrates the
usage of the RemoteObject tag and the
mx.rpc.remoting.RemoteObject API for the .NET class
above:
using MXML:
<mx:RemoteObject id="compinfo"
destination="GenericDestination"
source="GettingStarted.Examples.ComputerInfoService"
showBusyCursor="true"
fault="faultHandler(event)" >
<mx:method name="getComputerInfo"
result="getComputerInfoHandler(event)"/>
</mx:RemoteObject> |
using API:
var compinfo:RemoteObject = new RemoteObject( "GenericDestination"
);
compinfo.source="GettingStarted.Examples.ComputerInfoService";
compinfo.addEventListener( FaultEvent.FAULT, faultHandler );
compinfo.getComputerInfo.addEventListener( Result.EVENT, getComputerInfoHandler
); |
There are two response handlers: one
is responsible to handle errors (faultHandler) and
the other will be processing remote method
invocation return data (getComputerInfoHandler).
Both functions are shown below:
private
function faultHandler( event:FaultEvent ):void
{
Alert.show( event.fault.faultString, "Error"
);
}
private function getComputerInfoHandler( event:ResultEvent ):void
{
serverName.text = event.result.serverName;
clrVersion.text = event.result.clrVersion;
clrVendor.text = event.result.clrVendor;
os.text = event.result.os;
osVersion.text = event.result.osVersion;
requestId.text = event.result.requestId;
}
|
And finally the user interface part
to display the response could have the following
MXML markup:
<mx:Panel width="476"
height="281"
layout="absolute"
title="Getting Started Example"
cornerRadius="0"
backgroundColor="#ffffff">
<mx:Label x="292"
y="-23" text="Flex Remoting
with WebORB"/>
<mx:Label text="Server
Name" y="33" x="47"/>
<mx:Label x="46"
y="59" text="CLR Version"
/>
<mx:Label x="46"
y="85" text="CLR Vendor"
/>
<mx:Label x="46"
y="111" text="OS" />
<mx:Label x="46"
y="137" text="OS Version"
/>
<mx:Label x="46"
y="163" text="Request ID"
/>
<mx:TextInput x="154"
y="34" id="serverName"/>
<mx:TextInput x="154"
y="60" id="clrVersion"/>
<mx:TextInput x="154"
y="86" id="clrVendor"/>
<mx:TextInput x="154"
y="112" id="os"/>
<mx:TextInput x="154"
y="138" id="osVersion"/>
<mx:TextInput x="154"
y="164" id="requestId"/>
<mx:Button x="47"
y="209" label="Send Request"
themeColor="haloBlue"
click="compinfo.getComputerInfo( reqId++ )"/>
</mx:Panel> |
Full client code listing is
available
here.
Compile and run the project. You
should have a working Flex application using Flex
Remoting with .NET.
Next steps
-
We recommend to explore the
Examples section in this console. The examples
demonstrate various invocation techniques and
patterns.
 If you decide to deploy it manually,
below is a list of steps to follow:
-
Copy the following files
from the WebORB installation directory:
- /weborb.config
- /bin/weborb.dll
- /bin/cpuinfo.dll
- /WEB-INF folder and all its contents
if you intend to use this console from your
installation:
- /weborbconsole.html
- /console
- /weborbassets
- /examples
- all .mdb files from the root
-
Create /logs folder in your
application
-
Modify web.config in your
application to
register WebORB HTTPHandler as shown below:
<configuration>
<system.web>
<httpHandlers>
<add verb="*" path="weborb.aspx" type="Weborb.ORBHttpHandler"/>
<!-- add the codegen.aspx handler, only if you
plan to use codegen from the console -->
<add verb="*" path="codegen.aspx" type="Weborb.Management.CodeGen.CodegeneratorHttpHandler"/>
</httpHandlers>
<system.web>
<configuration> |


Trainee QA Consultant
I am a Trainee Consultant in QA Consulting, looking forward for an amazing IT Consultant career. I am here to share my Projects, and provide a showcase on how I can meet targets and achieve goals that will add values to the Company. This includes:
I have implemented Agile Methodology in creating QA Cinema Website using Scrum Framework like Facilitated Workshops. I have implemented the Object Oriented Programming Concepts in creating the Java GUI MP3 Player and Basic Calculator using Java Swing and work on various other programs. I have designed my Portfolio using Bootstrap Template, JavaScript, HTML5, CSS in Visual Studio Code. I have handled JSON files with JavaScript. I can contribute to excellent Front End Web Design.
I like to be part of Corporate Social Responsibility (CSR) team. I have been a Fire Warden in Capsticks, handling the fire drills conducted from time to time. I have also been a volunteer to Wimbledon Guild Gadget Workshops, providing help to elderly people with Laptops, Mobiles, Tablets, etc. I like to play carrom, pool, checker in my spare time. I love to go to parks, enjoy walks and swimming.


Functions for Genetic Epi Methods Developed at MSKCC
| Version: | 1.0.1 |
| Depends: | R (≥ 2.0.0), stats |
| Published: | 2010-10-01 |
| Author: | Venkatraman E. Seshan |
| Maintainer: | Venkatraman E. Seshan <seshanv at mskcc.org> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | yes |
| CRAN checks: | genepi results |
| Reference manual: | genepi.pdf |
| Package source: | genepi_1.0.1.tar.gz |
| Windows binaries: | r-devel: genepi_1.0.1.zip, r-release: genepi_1.0.1.zip, r-oldrel: genepi_1.0.1.zip |
| OS X binaries: | r-release: genepi_1.0.1.tgz, r-oldrel: genepi_1.0.1.tgz |
| Old sources: | genepi archive |
Please use the canonical form https://CRAN.R-project.org/package=genepi to link to this page.


This course is for Winter Semester 2017. For registration, please use the TISS site. New information will be updated soon
In the age of IoT, big data and deep learning, we handle a massive number of devices generating huge amount of data which are stored and analyzed by advanced aglorithms in a large scale of edge and cloud computing infrastructures. What would be key foundational concepts of services computing and cloud computing that enable seamless integration and execution of such big data, complex algorithms and diverse services?
The goal of this lecture is to discuss and study advanced theoretical foundations, system designs, algorithms and system analysis of recent developments regarding Service Computing and Cloud Computing in large-scale distributed systems that enable contemporary data science, IoT analytics and deep learning. We do not learn how to program IoT Cloud Systems (as shown in Advanced Services Engineering), Web services (as shown in Advanced Internet Computing) or particular distributed systems technologies. But we will focus on on advanced algorithms, system models, and performance monitoring and analysis techniques for state-of-the-art cloud services, software service systems, IoT, and edge computing that are essential and foundational for building today and tomorrow's reliable and high-quality applications in cloud robotics, Industry 4.0, data science, deep learning, to name just a few.
Students will learn and research state-of-the-art algorithms and techniques through literature study, individual and team development project with real-world case studies and questions.
The key format of the course is to discuss and debate. For this format, students will be required to read key papers for certain topics and present their findings. Key papers will refect the state-of-the-art work in the topics of the course.
Lectures are held on Friday from 13-15 at Seminarraum Argentinierstrasse, Argentinierstrasse 8 (or Paniglgasse), EG. Note that lectures are NOT held every week! See lecture notes for lecture dates and places.
Also Check TISS web page for course date, time, and location
| Date | Topics | Notes |
|---|---|---|
| 6 Oct 2017 | Course Overview | Motivation and expectation of the course, and course administration (PDF) |
| 13 Oct 2017 | Service-oriented and Cloud Computing: Recap and Outlook | Lecture and discussion on key advanced topics of cloud and service computing for various domains, like cloud robotics, big data analytics, Industry 4.0, etc. (PDF) |
| 20 Oct & 17 Nov, 2017 | Advanced algorithms for Complex and Hybrid cloud systems | Study advanced algorithms and discuss how they are used in real-world scenarios. Examples are for high availability, data sharding, geographical multi-cloud load balancing, automatic discovery and formation of container clusters, interactions between IoT and cloud, cloud robotics, etc.
PDF Lecture |
| 24 Nov, 1 Dec & 15 Dec, 2017 | Elasticity principles and control algorithms | Study algorithms for elasticity controls in IoT, Cloud and fog computing and discuss how they are used in real-world scenarios. Examples are elasticity in well-known cloud systems, algorithms for elasticiy coordination in multi-cloud environments, elasticity algorithms for fog and NFV, coordination and control in cloud robotics
Elasticity Engineering: Foundations Elasticity Engineering: Real-world and Academic Implementation |
| 22 Dec, 2017, 12 Jan 2018 | Complex big data analytics system design | Study techniques and algorithms for big data ingest and analytics. Examples are algorithms for large-scale data ingest and analytics, analytics in Industry 4.0, analytics and robotics, etc. Topic introduction |
| 19 & 26 Jan, 2018 | End-to-End Service Performance and Dependability Analytics | Study techniques and tools for monitoring IoT, cloud and fog systems. Examples are performance monitoring for end-to-end view, instrumentation techniques for IoT and cloud Discussion slides |
| TBD | Final exam | Oral examination |
Since the course is highly interactive and focused on reading, analyzing and presenting state-of-the-art (reviewing topics), assignments will be mainly about the presentation of your findings. Assignment presentations must be submitted to TUWEL.
© Hong-Linh Truong. Using a modified version of the Superfresh 2084 HTML template designed by template mo


{% extends "base.html" %} {% load i18n %} {% load pagination_tags %} {% block title %}{% trans "Project Dashboard" %}{% endblock %} {% block dashboard_bar %} {% with projects_active="active" %} {% include "dashboard/dashboard_bar.html" %} {% endwith %} {% endblock %} {% block dash-nav-projects %}active{% endblock %} {% block content %} {% if project_list %}
{% blocktrans with url="http://docs.readthedocs.org/en/latest/index.html" %} Check out the documentation for Read the Docs. It contains lots of information about how to get the most out of RTD. {% endblocktrans %}
{% if filter|length > 0 %}
{% blocktrans %}
You don't have any projects. You can create new docs on the site.
If you have a GitHub account, you can connect it and import projects from there.
Check out the Getting Started documentation for information about how to get going.


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The ATLAS experiment has been designed, and it is run, by a collaboration of physicists. At the time of writing this little note, we are about 3000 physicists, coming from 182 universities and institutes from 38 different countries. We can take a look at the list of ATLAS authors in all papers published by the ATLAS Collaboration.
We can also take a look at the list of all institutes which are part of the ATLAS Collaboration, as well as visualizing them on an interactive map.
Let us browse through the countries listed there, and we will realize how ATLAS is an example of a successful project, gathering people coming from such different countries to work together in a harmonious way towards a common goal. Even people coming from countries that are officially in conflict, here in ATLAS they work together.
Science, education, and knowledge are and should be above borders, conflicts, political problems or mere national issues. Science should always gather ideas and people from all places and all social situations. Moreover, science should always be open and accessible to everyone: all brilliant minds should be able to contribute to the common knowledge, without barriers and without being excluded because of the history, the nationality, the gender, their personality, their handicaps and the personal attitudes and preferences.
The picture shows several hundreds of ATLAS physicists coming from US institutes (out of about 2000 at the time it was taken, in 2008). It is a really nice picture, I think,: it can give a sense of the size of the ATLAS collaboration; even if the number of today's ATLAS physicists are much larger than those represented in the picture.
At the time of that picture, I was back at CERN. Since two years already, I had started working on the ATLAS experiment again, and since March 2008 I was based at CERN, sent there by the University of Freiburg, where I was studying for my Ph.D. in Particle Physics.
As said, the picture shows a group of physicists coming from US institutes. At that time, I didn't know that, a few years later, I would have been employed by a US university, as well!


CHAMPAGNE JILL
Rangers fan furious as stalker fan Jill Sharp boasts over Celtic cup final tickets – but others are convinced it’s fake
by Blair MeikleRANGERS fans are furious that 'fantasist' fan 'Champagne Jill' Sharp appears to have snapped up a cup final ticket - but others are convinced it's a fake.
Punters fumed after convicted stalker Sharp, 32, posted on social media claiming she had tickets for the Betfred Cup showdown with Celtic.
She uploaded a screenshot of an email from Rangers appearing to confirm she had been allocated a brief, captioned: "Yeeeeeee haaaaaaaa. Let's gooooo."
Sharp served time after being blasted in court over her "deliberate and malicious" stalking campaign against a fellow Gers-supporting couple.
She admitted causing pal Margaret and Steven Paton fear and alarm between January 2014 and August 2017.
Fans who reckoned her past should have earned her a ban from Ibrox were furious she had managed to secure cup final tickets.
One said: "Jill Sharp getting a ticket for the final is wrong. She should have her season taken off her.
"When you think what Rangers ban people for (the Killie thing being the most recent) is a scandal.
"She terrorised a lovely couple through the Rangers connection."
Another wrote: "The couple were ST holders and no longer attend games because of fear of bumping into her.
"Rangers FC should revoke her ST, she’s taken the club into disrepute etc.
"Getting a ticket for the CF ain’t her fault, that’s down to the system. Ban her prob solved."
Another added: "Fly b*****d has probably had someone use her season book and away allocations while shes been away f*****g shockin either way."
But some poured cold water on the post by claiming the email had been photoshopped.
One said: "Look at the ‘Rangers Number’ column... Why is Mr Hale’s number in a red font. While Ms Sharp’s number is blue with a weblink line underneath it. PHOTOSHOPPED."
Another added: "It’s defo photoshopped."
We told how Gers legend Andy Goram has thrown his weight behind a new book by a victim of Sharp.
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