Apache Flink Kubernetes Operator 1.1.0 Release Announcement
July 25, 2022 - Gyula Fora (@GyulaFora) Matyas OrhidiThe community has continued to work hard on improving the Flink Kubernetes Operator capabilities since our first production ready release we launched about two months ago.
With the release of Flink Kubernetes Operator 1.1.0 we are proud to announce a number of exciting new features improving the overall experience of managing Flink resources and the operator itself in production environments.
Release Highlights #
A non-exhaustive list of some of the more exciting features added in the release:
- Kubernetes Events on application and job state changes
- New operator metrics
- Unified and more robust reconciliation flow
- Periodic savepoints
- Custom Flink Resource Listeners
- Dynamic watched namespaces
- New built-in examples For Flink SQL and PyFlink
- Experimental autoscaling support
Kubernetes Events for Application and Job State Changes #
The operator now emits native Kubernetes Events on relevant Flink Deployment and Job changes. This includes status changes, custom resource specification changes, deployment failures, etc.
Events:
Type Reason Age From Message
---- ------ ---- ---- -------
Normal Submit 53m JobManagerDeployment Starting deployment
Normal StatusChanged 52m Job Job status changed from RECONCILING to CREATED
Normal StatusChanged 52m Job Job status changed from CREATED to RUNNING
New Operator Metrics #
The first version of the operator only came with basic system level metrics to monitor the JVM process.
In 1.1.0 we have introduced a wide range of additional metrics related to lifecycle-management, Kubernetes API server access and the Java Operator SDK framework the operator itself is built on. These metrics allow operator administrators to get a comprehensive view of what’s happening in the environment.
For details check the list of supported metrics.
Unified and more robust reconciliation flow #
We have refactored and streamlined the core reconciliation flow responsible for executing and tracking resource upgrades, savepoints, rollbacks and other operations.
In the process we made a number of important improvements to tolerate operator failures and temporary Kubernetes API outages more gracefully, which is critical in production environments.
Periodic Savepoints #
By popular demand we have introduced periodic savepoints for applications and session jobs using a the following simple configuration option:
flinkConfiguration:
...
kubernetes.operator.periodic.savepoint.interval: 6h
Old savepoints are cleaned up automatically according to the user configured policy:
kubernetes.operator.savepoint.history.max.count: 5
kubernetes.operator.savepoint.history.max.age: 48h
Custom Flink Resource Listeners #
The operator allows users to listen to events and status updates triggered for the Flink Resources managed by the operator.
This feature enables tighter integration with the user’s own data platform. By implementing the FlinkResourceListener
interface users can listen to both events and status updates per resource type (FlinkDeployment
/ FlinkSessionJob
). The interface methods will be called after the respective events have been triggered by the system.
New SQL and Python Job Examples #
To demonstrate the power of the operator for all Flink use-cases, we have added examples showcasing how to deploy Flink SQL and Python jobs.
We have also added a brief README for the examples to make it easier for you to find what you are looking for.
Dynamic watched namespaces #
The operator can watch and manage custom resources in an arbitrary list of namespaces. The watched namespaces can be defined through the property kubernetes.operator.watched.namespaces: ns1,ns2
. The list of watched namespaces can be changed anytime in the corresponding config map, however the operator ignores the changes unless dynamic watched namespaces is enabled.
This is controlled by the property kubernetes.operator.dynamic.namespaces.enabled: true
.
Experimental autoscaling support #
In this version we have taken the first steps toward enabling Kubernetes native autoscaling integration for the operator. The FlinkDeployment CRD now exposes the scale
subresource which allows us to create HPA policies directly in Kubernetes that will monitor the task manager pods.
This integration is still very much experimental but we are planning to build on top of this in the upcoming releases to provide a reliable scaling mechanism.
You can find an example scaling policy here.
What’s Next? #
In the coming months, our focus will be on the following key areas:
- Standalone deployment mode support
- Hardening of rollback mechanism and stability conditions
- Scaling improvements
- Support for older Flink versions
These features will allow the operator and users to benefit more from the recent advancements in Flink’s scheduling capabilities.
Upgrading to 1.1.0 #
The new 1.1.0 release is backward compatible as long as you follow our operator upgrade quide.
Please ensure that CRDs are updated in order to enable some of the new features.
The upgrade should not impact any currently deployed Flink resources.
Release Resources #
The source artifacts and helm chart are available on the Downloads page of the Flink website. You can easily try out the new features shipped in the official 1.1.0 release by following our quickstart guide.
You can also find official Kubernetes Operator Docker images of the new version on Dockerhub.
For more details, check the updated documentation and the release notes. We encourage you to download the release and share your feedback with the community through the Flink mailing lists or JIRA.
List of Contributors #
Aitozi, Biao Geng, Chethan, ConradJam, Dora Marsal, Gyula Fora, Hao Xin, Hector Miuler Malpica Gallegos, Jaganathan Asokan, Jeesmon Jacob, Jim Busche, Maksim Aniskov, Marton Balassi, Matyas Orhidi, Nicholas Jiang, Peng Yuan, Peter Vary, Thomas Weise, Xin Hao, Yang Wang


Radiogroup
Question: Do I hear: item name, item state, radiogroup name, radiogroup role, and count?
- VoiceOver & Safari: Yes, Yes, Yes, Yes for list/No for radiogroup, Yes - accurate count
- ChromeVox & Chrom: Yes, Yes, Yes, Yes, Yes - accurate count
- NVDA & FF:
- JAWS & FF:
Area Model
Balloons and Static Electricity
Question: Do I get: item name, item state, radiogroup name, radiogroup role, and count?
- VoiceOver & Safari: Yes, Yes, Yes for list, No, Yes - accurate count (radio button list Charge Setting 3 items)
- ChromeVox & Chrom: Yes, Yes, Yes, Yes, Yes- accurate count with list semantics
- NVDA & FF:
- JAWS & FF:


--- layout: default title: Nicole Carpenter - Contact ---
I am always looking for new opportunities to build a more beautiful web.
Please contact me for your next project!


This section´s purpose is the insertion of the results of the matchs from a league in which your team is involved, it also lets the administrator of the league the ability to change match results. Working as a double check for the assurance of the participants.
The tournament creator lets you make your own tournaments, set up the teams and information, and you'll be able to manage them on the go. Now keeping track of scores and standings is easier than ever!


Line graphs#
This module gather everything which is related to line graphs. Right now, this amounts to the following functions :
Return the line graph of a given graph |
|
Check whether a graph is a line graph |
|
Return the root graph corresponding to the given graph |
Author:
Nathann Cohen (01-2013),
root_graph()
method and module documentation. Written while listening to Nina Simone “I wish I knew how it would feel to be free”. Crazy good song. And “Prendre ta douleur”, too.David Coudert (10-2018), use maximal cliques iterator in
root_graph()
, and useroot_graph()
instead of forbidden subgraph search inis_line_graph()
(github issue #26444).
Definition#
Given a graph \(G\), the line graph \(L(G)\) of \(G\) is the graph such that
The definition is extended to directed graphs. In this situation, there is an arc \((e,e')\) in \(L(G)\) if the destination of \(e\) is the origin of \(e'\).
For more information, see the Wikipedia article Line_graph.
Root graph#
A graph whose line graph is \(LG\) is called the root graph of \(LG\). The root graph of a (connected) graph is unique ([Whi1932], [Har1969]), except when \(LG=K_3\), as both \(L(K_3)\) and \(L(K_{1,3})\) are equal to \(K_3\).
Here is how we can “see” \(G\) by staring (very intently) at \(LG\) :
A graph \(LG\) is the line graph of \(G\) if there exists a collection \((S_v)_{v\in G}\) of subsets of \(V(LG)\) such that :
Every \(S_v\) is a complete subgraph of \(LG\).
Every \(v\in LG\) belongs to exactly two sets of the family \((S_v)_{v\in G}\).
Any two sets of \((S_v)_{v\in G}\) have at most one common elements
For any edge \((u,v)\in LG\) there exists a set of \((S_v)_{v\in G}\) containing both \(u\) and \(v\).
In this family, each set \(S_v\) represent a vertex of \(G\), and contains “the set of edges incident to \(v\) in \(G\)”. Two elements \(S_v,S_{v'}\) have a nonempty intersection whenever \(vv'\) is an edge of \(G\).
Hence, finding the root graph of \(LG\) is the job of finding this collection of sets.
In particular, what we know for sure is that a maximal clique \(S\) of size \(2\) or \(\geq 4\) in \(LG\) corresponds to a vertex of degree \(|S|\) in \(G\), whose incident edges are the elements of \(S\) itself.
The main problem lies with maximal cliques of size 3, i.e. triangles. Those we have to split into two categories, even and odd triangles :
A triangle \(\{e_1,e_2,e_3\}\subseteq V(LG)\) is said to be an odd triangle if there exists a vertex \(e\in V(G)\) incident to exactly one or all of \(\{e_1,e_2,e_3\}\), and it is said to be even otherwise.
The very good point of this definition is that an inclusionwise maximal clique which is an odd triangle will always correspond to a vertex of degree 3 in \(G\), while an even triangle could result from either a vertex of degree 3 in \(G\) or a triangle in \(G\).
Beineke proves in [Bei1970] that the collection of sets we are looking for can be easily found. Indeed it turns out that it is the union of :
The family of all maximal cliques of \(LG\) of size 2 or \(\geq 4\), as well as all odd triangles.
The family of all pairs of adjacent vertices which appear in exactly one maximal clique which is an even triangle.
There are actually four special cases to which the decomposition above does not apply, i.e. graphs containing an edge which belongs to exactly two even triangles. We deal with those independently.
The
Complete graph
\(K_3\).The
Diamond graph
– the line graph of \(K_{1,3}\) plus an edge.The
Wheel graph
on \(4+1\) vertices – the line graph of theDiamond graph
The
Octahedron
– the line graph of \(K_4\).
This decomposition turns out to be very easy to implement :-)
Warning
Even though the root graph is NOT UNIQUE for the triangle, this method returns \(K_{1,3}\) (and not \(K_3\)) in this case. Pay very close attention to that, for this answer is not theoretically correct : there is no unique answer in this case, and we deal with it by returning one of the two possible answers.
Functions#
- sage.graphs.line_graph.is_line_graph(g, certificate=False)#
Check whether the graph \(g\) is a line graph.
INPUT:
certificate
(boolean) – whether to return a certificate along with the boolean result. Here is what happens whencertificate = True
:If the graph is not a line graph, the method returns a pair
(b, subgraph)
whereb
isFalse
andsubgraph
is a subgraph isomorphic to one of the 9 forbidden induced subgraphs of a line graph.If the graph is a line graph, the method returns a triple
(b,R,isom)
whereb
isTrue
,R
is a graph whose line graph is the graph given as input, andisom
is a map associating an edge ofR
to each vertex of the graph.
Note
This method wastes a bit of time when the input graph is not connected. If you have performance in mind, it is probably better to only feed it with connected graphs only.
See also
The
line_graph
module.line_graph_forbidden_subgraphs()
– the forbidden subgraphs of a line graph.
EXAMPLES:
A complete graph is always the line graph of a star:
sage: graphs.CompleteGraph(5).is_line_graph() True
The Petersen Graph not being claw-free, it is not a line graph:
sage: graphs.PetersenGraph().is_line_graph() False
This is indeed the subgraph returned:
sage: C = graphs.PetersenGraph().is_line_graph(certificate=True)[1] # needs sage.modules sage: C.is_isomorphic(graphs.ClawGraph()) # needs sage.modules True
The house graph is a line graph:
sage: g = graphs.HouseGraph() sage: g.is_line_graph() True
But what is the graph whose line graph is the house ?:
sage: # needs sage.modules sage: is_line, R, isom = g.is_line_graph(certificate=True) sage: R.sparse6_string() ':DaHI~' sage: R.show() # needs sage.plot sage: isom {0: (0, 1), 1: (0, 2), 2: (1, 3), 3: (2, 3), 4: (3, 4)}
- sage.graphs.line_graph.line_graph(g, labels=True)#
Return the line graph of the (di)graph
g
.INPUT:
labels
– boolean (default:True
); whether edge labels should be taken in consideration. Iflabels=True
, the vertices of the line graph will be triples(u,v,label)
, and pairs of vertices otherwise.
The line graph of an undirected graph G is an undirected graph H such that the vertices of H are the edges of G and two vertices e and f of H are adjacent if e and f share a common vertex in G. In other words, an edge in H represents a path of length 2 in G.
The line graph of a directed graph G is a directed graph H such that the vertices of H are the edges of G and two vertices e and f of H are adjacent if e and f share a common vertex in G and the terminal vertex of e is the initial vertex of f. In other words, an edge in H represents a (directed) path of length 2 in G.
Note
As a
Graph
object only accepts hashable objects as vertices (and as the vertices of the line graph are the edges of the graph), this code will fail if edge labels are not hashable. You can also set the argumentlabels=False
to ignore labels.See also
The
line_graph
module.line_graph_forbidden_subgraphs()
– the forbidden subgraphs of a line graph.is_line_graph()
– tests whether a graph is a line graph.
EXAMPLES:
sage: g = graphs.CompleteGraph(4) sage: h = g.line_graph() sage: h.vertices(sort=True) [(0, 1, None), (0, 2, None), (0, 3, None), (1, 2, None), (1, 3, None), (2, 3, None)] sage: h.am() # needs sage.modules [0 1 1 1 1 0] [1 0 1 1 0 1] [1 1 0 0 1 1] [1 1 0 0 1 1] [1 0 1 1 0 1] [0 1 1 1 1 0] sage: h2 = g.line_graph(labels=False) sage: h2.vertices(sort=True) [(0, 1), (0, 2), (0, 3), (1, 2), (1, 3), (2, 3)] sage: h2.am() == h.am() # needs sage.modules True sage: g = DiGraph([[1..4], lambda i,j: i < j]) sage: h = g.line_graph() sage: h.vertices(sort=True) [(1, 2, None), (1, 3, None), (1, 4, None), (2, 3, None), (2, 4, None), (3, 4, None)] sage: h.edges(sort=True) [((1, 2, None), (2, 3, None), None), ((1, 2, None), (2, 4, None), None), ((1, 3, None), (3, 4, None), None), ((2, 3, None), (3, 4, None), None)]
- sage.graphs.line_graph.root_graph(g, verbose=False)#
Return the root graph corresponding to the given graph
g
.See the documentation of
sage.graphs.line_graph
to know how it works.INPUT:
g
– a graphverbose
– boolean (default:False
); display some information about what is happening inside of the algorithm.
Warning
This code assumes that \(g\) is a line graph, and is a connected, undirected graph without multiple edges.


Both individual psychotherapy and couples therapy give you the opportunity to transform your life by looking at how you are living, thinking, and interacting; and then bringing your behavior in line with your highest aspirations for yourself.
If you are struggling in your life or in your relationship, you could likely benefit from individual or couples therapy. People who come to see me often are tired of going around in circles, sometimes don’t respect how they are living their lives, and want to find solutions for truly getting unstuck.
I usually work with individuals once or twice per week, depending on the specifics of their lives and the issues they are working on. I usually work with couples once a week at first, and then biweekly as they move toward a better relationship.
My office is located on Connecticut Avenue in Washington DC, directly across from the National Zoo in the Woodley Park/Cleveland Park neighborhood. My office is a short walk from the Woodley Park and Cleveland Park stops on the Red Line of the Washington DC Metro.
Therapy sessions will begin by going over how successful you were since the previous session in hitting your targets and what difficulties you had. We will then set an agenda, so we can efficiently use our time. We will be sure to take stock of why things went well, so it is clear how to ensure things can continue to go well. We will also utilize interventions to eliminate the existing problems by carefully analyzing them, and develop existing or new skills in order to better manage them in the coming week.
More FAQEmotional problems, such as anger, anxiety, embarrassment, depression, and shame can be targeted. Therapy can help to reduce how often you experience these feelings and how intense they are. As you learn to change your feelings you will become more confident as you feel a sense of control.
Therapy sessions will begin by going over how successful you were since the previous session in hitting your targets and what difficulties you had. We will then set an agenda, so we can efficiently use our time. We will be sure to take stock of why things went well, so it is clear how to ensure things can continue to go well.
Individual therapy sessions last 45 minutes. Although there is a clear agenda and structure, there is still time to explore what is necessary to be sure that the client is really understood. Given the nature of emotional and behavioral problems, it is critical that the work doesn’t stop after 45 minutes.
Anything can be discussed in therapy. There is great flexibility about topics and existential questions can be the main focus for a particular client. With that said, we will be goal focused. If the goal is to come to a greater understanding or acceptance of existential issues, then we will spend the appropriate time on that.
I am a clinical psychologist and I practice forms of cognitive behavioral therapy (CBT) and behavioral therapy. These kinds of therapy include Acceptance and Commitment Therapy (ACT), Dialectical Behavior Therapy (DBT), Rational Emotive Behavior Therapy (REBT), Traditional Behavior Therapy, etc.


This form allows you to send comments, questions or bug reports directly to the creator of the DPR. Your email goes straight to me, so there is no need to worry about spam, etc.


Readiness IT was founded in 2015 and we are experts on full stack integrations for digital transformation programs. We design, implement and integrate applications on top off our core competencies: Order Management, Online Charging & Billing and Network Inventory and Activation, using state of the art methodologies for User Experience, Test Automation and Continuous Integration and Deployment. Nowadays it counts with more than 150 consultants, from 10 distinct nationalities, and is working on projects in 14 countries around the globe. Although it is a young company, the core team has more than 500 000 man hours of experience in this type of projects and we are now looking for the next experts in systems integration.


Jessica's Dev Bootcamp Blog
June 6, 2014
We Need more Women in Tech!
The fact that there are far more men working in the tech field than women is not news to anyone. This disparity has been well documented, and has been receiving a decent amount of media coverage as of late as well. This blog post cannot hope to cover all the angles of this issue. Instead, I am going to focus on only one aspect of this problem - the fact that the demand for tech jobs is rapidly growing, at a pace that the current supply chain of mostly-male engineers and developers cannot realistically fulfill. We need more women!
Why is the lack of women in tech a problem?
According to many estimates, by the year 2020, there will be 1 million more tech jobs vacant than there are qualified students ready to fill them, worldwide. One of the big factors accounting for this shortfall is the lack of women entering computer science and other tech related programs, particularly in the US. Here, only ~ 18% of students in computer science programs are women. This statistic is particularly jarring when compared to the corresponding statistics in many countries far less gender progressive than ours. For example, in Myanmar, 60% of students in computer science programs are women. Myanmar, Iran, Saudi Arabia, and Oman are countries which are leaders in educating women in computer science. The US needs to step up!
Potential solutions!
Kara Swisher, founder and co-executive editor at Recode.net points out that in order to draw girls into these fields, we need to provide more examples of women in the field for girls to look up to. Furthermore, these women role models will, in turn, hire other women into the field. In fact, when examining tech companies across the board, Swisher found that only ~12.3% of the engineers are women, but when a tech company has a female CEO, the percentage jumps to almost a 50-50 split between female and male engineers! Thus, hiring more women into leadership roles could potentially be a big step in the right direction towards solving this dilemma.
Larry Page, chief exec of Google, agrees that recruiting women is a top priority: "If we do that, there's no question we'll more than double the rate of technology output in the world." However, even at Google, less than 1/5th of the engineering population consists of women.
There is also a strong movement to support women in tech, wherein women-only hacker spaces and programs have been growing and expanding, in the hopes of increasing the number of women in the profession. While these programs are not free from controversy (some find that these women-only programs "cultivate the notion that women are these weak beings who find their male colleagues too intimidating"), their spirit of fostering support for women in tech is another step forward towards a solution.
Personally, I also think that accelerated bootcamp programs such as Dev Bootcamp can be an important part of the solution. I am coming to Dev Bootcamp as someone looking for a second chance at a career in tech, since going back to college to get a CS degree is neither practical nor financially viable. I am an adult woman who is considering leaving her current career path as an attorney, for the hopefully greener and more satisfying career pastures as a developer. Dev Bootcamp is providing me with a fighting chance to make this dream come true. Additionally, Dev Bootcamp offers a diversity scholarship for women, as an added incentive.
While it is true that we need to start drawing girls and young women into the field early, by encouraging them to pursue education and careers in math, science, and technology, that does not address the immediate need for more women in tech, here and now. Dev Bootcamp, and other programs like it, helps to address this immediate need, and provides people like my cohort-mates and myself a chance to be an active part of the solution.


{{HTTP vs HTTPS}}
{{The web is evolving towards using secure connections everywhere. While this is generally a good thing for security, it does impact what tests we can run.}}
{{When visiting with HTTPS, we are unable to detect NAT64 or Teredo.}} {{Some browsers now force HTTPS. For these browsers, these features are no longer available.}}
{{Why do these specific tests fail when using HTTPS?}}
{{NAT64 is detected when connections by name work, but by IPv4 numeric address do not.}} {{Teredo is detected when connections by name fail, but by IPv6 numeric address work.}}
{{When running in HTTPS mode, connecting to a specific IP address requires a special certificate. These certificates are available only with proof of ownership for the IP address. }}
{{test-ipv6.com is actually spread across many providers. Some are hosting providers, or customers of hosting providers. Some are broadband internet providers. It is not possible for test-ipv6.com to prove ownership of their address space.}} {{As an example, I can't prove I own the Comcast (a large US broadband provider) IP addresses used by this site.}}
{{Links:}}
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For this assignment, I have created a website dedicated to the basics of how the Internet works. This includes the following:
The major goals of this assignment was to create a website (with HTML, CSS, Bootstrap, and Git) as well as learn about the basics of how the Internet works. As I progress further in IS 601 - Web Systems Development, I become more acquainted and familiar with creating web pages in HTML and CSS with Bootstrap and making commits and pushing these changes to GitHub. Learning about how the Internet works is also vital to know since I will be working primarily with computers in my future career. Many people don't know how the Internet works–it almost seems like magic–but there is a very real science that went into its creation. The pages featured on this website will seek to simplify the science of these mechanics into something that's a little more understandable, yet accurate.
Hello! I'm a first year PhD student at NJIT! I just moved to Newark, NJ from Illinois. I graduated from the University of Illinois at Urbana-Champaign in May 2020 with a Bachelor of Arts in Creative Writing with minors in Statistics and Informatics. I currently work with Dr. Cody Buntain as a graduate research assistant as well.
I'm taking IS 601 this semester because I want to further my skills in programming and obtain more knowledge on developing web systems. As I progress further into my graduate program, the things I will learn in this class will become more and more vital. Programming wasn't always my strong suit, so being here at NJIT in this program has been great for me!
When I'm not in class I really enjoy watching sitcoms (particularly Brooklyn Nine-Nine and New Girl) and cartoons targeted for children (i.e. Avatar the Last Airbender), crocheting, reading, and writing! I'm also a huge Taylor Swift fan and spend too much time on TikTok.


- ZenMeasure IoT
- Version: v1.0.0
- Size: 7.1M
- Update: 2016/7/30
- 1.A real end-to-end temperature record, no chance to falsify
- 2.Reading temperature record wirelessly without unpacking
- 3.Temperature tags can be reused, just a smart phone can read the temperature information
- 4.Temperature monitoring curve with timeline, easy to find out which step caused the over-temperature
- 5.Easy to get started and low cost
Android :
Android 4.4 and above, support BLE.
Adapter models: Samsung s4、s5、note3、A7；HUAWEI honor6、honor7、mate8、honor3X、honor4X；MI：MI note、MI4、MI note、MI note2；MEIZU：MX4、MX5、M5 Note2；oppo：R7T、R7S；Coolpad：8730、V90；LeEco：Le1Pro；ZTE：Nubia Z7；HTC：ONE, etc.


--- title: Navbar section: Components ---
Similar to Nav, Navbar is a base component used to create other horizontal navigation like bars (e.g., Navigation Bar, Management Bar, and Application Bar). Navbar on its own doesn't have any special color styling. Colors can be modified using a combination of Bootstrap 4's Navbar color utilities.navbar-light
,.navbar-dark
and background utilities. We don't recommend using color utilities as it's hard to keep track of the colors in large applications, rather we recommend scoping your color class to the component and using theclay-navbar-variant($map)
mixin to customize colors that are not covered by any of the Navbar variants.
The class
.navbar-form
should be wrapped around your form. It adds the proper spacing between your form and other navbar components e.g..navbar-nav
.The class
.navbar-form-autofit
should be added to.navbar-form
to make the form expand to fill the remaining space.
In mobile screen sizes, style the navbar toggler like a navbar navigation item with
navbar-toggler-link
. Also use this pattern when you want the search bar to be easily accessible in both mobile and desktop.
Use the
.navbar-expand
class on.navbar
to preserve desktop navbar styles in mobile. It's useful when there are only one or two links in the navbar; where collapsing doesn't make sense.
navbar-breakpoint-d-block
is a helper class to show content at it's expand breakpoint e.g. for.navbar-expand-md
,navbar-breakpoint-d-block
willdisplay: block !important;
at screen widths greater than 767px.
navbar-breakpoint-down-d-none
is a helper class to hide content at it's expand breakpoint e.g. for.navbar-expand-md
,navbar-breakpoint-down-d-none
willdisplay: none;
at screen widths less than or equal to 767px.
navbar-toggler
is the button that opens and closes the navbar in mobile, must be used with the collapse plugin.
navbar-toggler-link
styles the navbar-toggler like a navbar link.
navbar-collapse
is the container for all content that should be collapsed into a collapsible menu in mobile.
Add
navbar-collapse-absolute
tonavbar
to turn navbar-collapse from a relative positioned menu into an absolutely positioned collapsible menu.


QFITS Reference Manual Directories
This directory hierarchy is sorted roughly, but not completely, alphabetically:
src


Data
Mostly it's come from Deviation of Laser Beam.
Read & Understand the specification from supplier - Tesla Grohmann Automation
Strictly follow instruction of all Function Calibration.
SOOP is the chronic error at tool NGACS - MHS main tool. It is a frequent and common error. Furthermore, impact does not only at MHS module (MA, AU, APRT,... ) , SOOP can be connected to the quality issue of our down stream: BAM & CAM Module.
It contains many factor, such as Mechanical, Sofware, and Material, and a core factor of this error come from mechanical such as Bond Head, Voice Coil, SOOP Laser, and Conveyor. This core factor divide SOOP into 3 type of error (the other factors will not discuss in this chapter)
Actually, substrate out of pocket & detected by SOOP Laser measurement.
- Failure Accuracy Criteria often: Perform required Calibration.
- Loosening Down Looking Camera sometimes: Replace Bond Head.
- Instability of Down Looking Camera rarely: Replace Bond Head.
- Loosening Bond Head's attached screw occasionally: Tighten by cap-head-hex 3mm/2Nm Torque.
- Lifter Plate not fully open/close e-spring often: Adjust air pressure valve on Lifter Plate.
(SOOP at carrier's corner pockets)
- Lifter Plate up/down impact to planarity of carrier often: Replace Lifter Plate.
(Lead to SOOP when open/close e-spring)
SOOP Laser measurement incorrect lead to wrong trigger.
- Deviation of Laser Beam often: Perform Laser Calibration.
- Loosening of Laser sensor's Bracket sometimes: Replace new Bracket.
- Laser accuracy occasionally: Replace new Laser sensor.
- Loosening Conveyor Belt often: Tension belt or Replace belt.
- Incorrect Conveyor Relation Point often: Teaching paramters.
(This parameter should be taught 1 time when setup machine)
- Distance between sensor and process position often: Adjust paramter.
(Mostly, this is the consequences of other issue)
- Trigger threshold of sensor not reach fiducial sometimes: Teaching amplifier of conveyor's sensor.
(Only for vertical sensor)
- Offset of Process area planarity over 0.2mm often: L3 Documentation.
- Offset of Process support planarity over 0.2mm often: L3 Documentation.
- Planarity of conveyor system in respect to X/Y Axis system out of tolerance (304.5mm +/-0.3mm) nobodyverifylol: L3 Documentation.
- Parallelism of Conveyor-Axis system (Maximum offset of straightedge over 0.05mm) nobodyverifylol: L3 Documentation.
Basically, It's combination of 2 error Fake & Real SOOP.
Mostly it's come from Deviation of Laser Beam.
Yield in MHS has improved in Last 2 Years (Quality Commit). Major of rejected units come from The Feeder - The Complex Mechanism Part of ACS
Ironically, we don't have Vision Software to offset the deviation inside Feeder System. To deal with that, all replacing, adjusting or teaching event must be elaborate performed.
Almost Normal Tracer/YI are the result of Tray was not located in SBT51 when placement units.
| # | Object | Symptom | Action |
|---|---|---|---|
| 1 | Material (Tray) | damaged, bent... | Reject or Hold to further investigation |
| 2 | Belt, O-ring | damaged, worn out... | Replace |
| 3 | Support roller | higher than belt's surface | Adjust position of roller - leveling with belt's surface |
| 4 | Conveyor (SBT34/SBT51) | unbalance | -Module SBT34: leveling Feeder -Module SBT51: leveling Open/Close conveyor left & right side Deviation between 4 point at 4 conveyor's corner less than 0.2mm |
| 5 | Lift-bench (in upper position) | higher than processing tray | Adjust gap between Lift-bench plane & SBT51 plane to "~1mm" |
| 6 | Alignment | module SBT34 misalign to SBT51 | Perform Up/Down align & Left/Right Alignment |
| 7 | Proximity Sensor (SBT51) | Noise - not switching on/off right away | Teach or Replace Verify in ScopeView (sample size should be more than 10 trays) |
| 8 | Motor Card | speed | CS1/CS2: Adjustable - CS3: 8 - CS4: 0 CS1: Slow Speed (Signal #5 trigger) CS2: Fast Speed (Signal #5 & #7 trigger) |
| 9 | Sliding guide | rough surface | Remove to grinding. |
- Loading single tray to feeder at least 10 times to measurement the transport time from SBT34's downstream sensor to SBT51.
tolerance between each time should be "1.7s +/-0.1s"
Use ScopeView
- Tray isn't bounce back after hitting stopper. (Monitor by DLC)
| # | Object | Symptom | Action |
|---|---|---|---|
| 1 | Pulley | damaged, missing washers... | Replace or Add washers |
| 2 | Driving Belt | damaged, deformed... | Replace |
| 3 | Screw | worn out, loosen, missing... | Replace or Add screw & lock washer |
| 4 | Belt Tension | too tight/too loose | -2 Pulleys: 40-50 Hz -3 Pulleys: 38-48 HZ |
| 5 | Clamping plane | fingers aren't balance | Leveling 4 fingers - maximum tolerance between lowest & highest: "0.5mm" |
| 6 | Parameter | -incorrect z-axis zero position -incorrect pickup tray posistion |
-Zero position: Surface Feeder Jig "+0.1mm" -Pickup tray position: "-9.5mm" |
| 7 | Filling Capacity Sensor | trigger, position | -Setup of switching point. -Add washer to adjust height. Criteria: Zero "+8mm" trigger - Zero "+9.5mm" not trigger |
Dry cycle with empty tray & Monitor.
- Units OOP when tray was fell down from SBT51 to Lift-bench's upper position often: Adjust gap to "1mm".
- Gripper Cylinder malfunction sometimes: Replace.
- Shock Absorber of Lift-bench malfunction sometimes: Replace.
- Shock Absorber of Lift 2 malfunction often: Replace
- Movement speed is too fast sometimes: Adjust air pressure valve
- Gap between Lift & Feeder's wall rarely: Adjust gap
- Over-clamp at SBT51 sometimes: Adjust Open-end & Closed-end of clamper.
- Open/Close conveyor is interrupted occasionally: Tighten screw & add washer/ lock washer.


Testing Layout
We are going to test responsive layout here. Both strict and custom :)
Full width
1/4
3/4
1/4
1/2
1/4


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Routing
Fuel's routing can range from simple static routes to advanced routes using HTTP verb based routing.
Routes are set in fuel/app/config/routes.php.
Reserved Routes
In Fuel there are 4 reserved routes. They are _root_, _403_, _404_ and _500_.
- _root_ - The default route when no URI is specified.
- _403_ - The route used when the application throws an HttpNoAccessException that isn't caught.
- _404_ - The route used when the application throws an HttpNotFoundException that isn't caught.
- _500_ - The route used when the application throws an HttpServerErrorException that isn't caught.
The request class throws an HttpNotFoundException when you request a URI (a route) that your application can't resolve.
If no _404_ route is defined, the framework uses it's own error handler to display a "page not found" message. If no _403_ or _500_ route is defined, these exceptions remain uncaught, and are handled like any other exception your application might throw.
return array(
'_root_' => 'welcome/index',
'_404_' => 'welcome/404',
);
Basic Routing
The route on the left is compared to the request URI. If a match is found, the request is routed to the URI on the right.
This allows you to do things like the following:
return array(
'about' => 'site/about',
'contact' => 'contact/form',
'admin' => 'admin/login',
);
Slightly Advanced Routing
You can include any regex into your routes. The left side is matched against the requests URI, and the right side is the replacement for the left, so you can use backreferences in the right side from the regex on the left. There are also a few special statements that allow you match anything or just a segment:
- :any - This matches anything from that point on in the URI, does not match "nothing"
- :everything - Like :any, but also matches "nothing"
- :segment - This matches only 1 segment in the URI, but that segment can be anything
- :num - This matches any numbers
- :alpha - This matches any alpha characters, including UTF-8
- :alnum - This matches any alphanumeric characters, including UTF-8
Here are some examples. Notice the subtle differences between :any and :everything:
return array(
'blog/(:any)' => 'blog/entry/$1', // Routes /blog/entry_name to /blog/entry/entry_name
// matches /blog/, does not match /blogging and /blog
'blog(:any)' => 'blog/entry$1', // Routes /blog/entry_name to /blog/entry/entry_name
// matches /blog/ and /blogging, does not match /blog
'blog(:everything)' => 'blog/entry$1', // Routes /blog/entry_name to /blog/entry/entry_name
// matches /blog/, /blogging and /blog
'(:segment)/about' => 'site/about/$1', // Routes /en/about to /site/about/en
'(\d{2})/about' => 'site/about/$1', // Routes /12/about to /site/about/12
);
Advanced Routing
You can also have named parameters in your routes. This allows you to give your URI segments names which can then be accessed from within your actions.
Example:
return array(
'blog/:year/:month/:id' => 'blog/entry', // Routes /blog/2010/11/entry_name to /blog/entry
);
In the above example it would catch the following /blog/2010/11/entry_name. It would then route that request to your 'entry' action in your 'blog' controller. There, the named params will be available like this:
$this->param('year');
$this->param('month');
$this->param('id');
Note that as a named parameter is a regex, every named parameter counts as a backreference. So in a route like ':name/(\d{2})', the backreference for your two-digit segment is $2, not $1!
HTTP verb based routing
You can route your URLs to controllers and actions based on the HTTP verb used to call them. This makes it quick and easy to make RESTful controllers.
Example:
return array(
// Routes GET /blog to /blog/all and POST /blog to /blog/create
'blog' => array(array('GET', new Route('blog/all')), array('POST', new Route('blog/create'))),
);
You can use named parameters and regexes within your URL just like normal:
return array(
'blog/(:any)' => array(array('GET', new Route('blog/show/$1'))),
);
You can also specify if this route is supported for only http, or only https, by passing false or true as third parameter:
// route only valid if this is an https request
return array(
'blog/(:any)' => array(array('GET', new Route('blog/show/$1'), true)),
);
Named routes and reverse routing
The idea of reversed routing is like this: say you got an admin area and you have a route setup for it. In your views, you would like to that admin area using an HTML anchor that links to for example 'admin/start/overview'. Now you decide to move stuff around and end up moving that specific page to 'admin/overview'. As a result of this now you need to update the links in all your views...
When using reverse routing with these name routes you can link an anchor to a named route, so that when the route changes, the links in your views will automatically follow the change
Example route:
return array(
'admin/start/overview' => array('admin/overview', 'name' => 'admin_overview'), // add a named route for the admin/overview page
);
Example anchor:
// produces Overview
echo Html::anchor(Router::get('admin_overview'), 'Overview');
Note that this currently only works for routes that are defined in app/config/routes.php, not for module routes.
Inline routes
A route does not have to resolve to a controller method. FuelPHP also supports inline routes, which are defined as a Closure that replaces the controller method. Like controller methods, inline routes MUST return a Response object, either by forging one manually, or as the result of executing a forged Request.
Example route:
return array(
'secret/mystuff' => function () {
// this route only works in development
if (\Fuel::$env == \Fuel::DEVELOPMENT)
{
return \Request::forge('secret/mystuff/keepout', false)->execute();
}
else
{
throw new HttpNotFoundException('This page is only accessable in development.');
}
};


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Legend -
Level of confidence that token is an accurately-transcribed word
extremely low
very low
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undetermined
medium
high
very high


| CHROOT(2) | Linux Programmer's Manual | CHROOT(2) |
int chroot(const char *path);
Feature Test Macro Requirements for glibc (see feature_test_macros(7)):
chroot():
_XOPEN_SOURCE && ! (_POSIX_C_SOURCE >= 200112L) || /* Since glibc 2.20: */ _DEFAULT_SOURCE || /* Glibc versions <= 2.19: */ _BSD_SOURCE
Only a privileged process (Linux: one with the CAP_SYS_CHROOT capability in its user namespace) may call chroot().
This call changes an ingredient in the pathname resolution process and does nothing else. In particular, it is not intended to be used for any kind of security purpose, neither to fully sandbox a process nor to restrict filesystem system calls. In the past, chroot() has been used by daemons to restrict themselves prior to passing paths supplied by untrusted users to system calls such as open(2). However, if a folder is moved out of the chroot directory, an attacker can exploit that to get out of the chroot directory as well. The easiest way to do that is to chdir(2) to the to-be-moved directory, wait for it to be moved out, then open a path like ../../../etc/passwd.
A slightly trickier variation also works under some circumstances if chdir(2) is not permitted. If a daemon allows a "chroot directory" to be specified, that usually means that if you want to prevent remote users from accessing files outside the chroot directory, you must ensure that folders are never moved out of it.
This call does not change the current working directory, so that after the call '.' can be outside the tree rooted at '/'. In particular, the superuser can escape from a "chroot jail" by doing:
mkdir foo; chroot foo; cd ..
This call does not close open file descriptors, and such file descriptors may allow access to files outside the chroot tree.
The magic symbolic link, /proc/[pid]/root, can be used to discover a process's root directory; see proc(5) for details.
FreeBSD has a stronger jail() system call.
| 2019-03-06 | Linux |


Sensor Registration
Registration entries
SensorID
Version
Features
Timestamp
{{#records}}
{{id}}
{{version}}
{{sensor_list}}
{{updated_at}}
{{/records}}


Put intro material here : )
Candidate proteins that interact with other proteins/enzygmes
able
- Tyrosine kinase.
- Phosphorylates other proteins and regualtes their activity (including trio).
- activates trio (a GTP exchange factor)
- Regulates actin architecture
- Oncogene (BCR-Able)
- targeted by Glivec, one of the few targeted molecular medicines
- Knocking out able on its own results in neural tube defects, similar to knocking out shroom
trio
- GTP Exchange factor (GEF)
- Trio activates Rho (Rock?)
- Rho is a GTPase
- Shroom binds Rock, Rock activates myosin
- regulated by able
- Trio is upregulated in human cancers; involved in cell adhesion/migration
ssh (slingshot)
- phosphotase
- activates tws (twinstar) which is an actin depolymerizer
Candidates which interact directly with actin
fhos
- Formin
- regulates actin filaments
- multiple Fhos genes
- no known medical implications (yet?)
dia (diaphanous)
- formin
- Actin polymerizer (actin nucleator)
- activated by GTPases
- Human health/biology: inner ear: actin structures with hairs
tws (twinstar)
- actin de-polymerizer
- vertebrates: cofilin
- might reduce the amount of actin; OR, by createing free ens cause bursts of actin synthesis!


An analogy to describe the differences between HTML and CSS:
HTML is the main bulk ingredients of a meal, like the vegetables and the rice. CSS by comparison, is the choice of spices, sauces and the garnish.
Explain control flow and loops using an example process from everyday life:
Control flow and loops can also be compared to cooking! There is a particular order you follow, and particular decisions you make based on the state of other variables. For example, while onions are less than caramelized, chop vegetables and add time. Then, if onion are caramelized && vegetables are chopped, add vegetables!
Describe what the DOM is and an example of how you might interact with it:
The DOM stands for Document Object Model. It is a document representation of the code involved in a webpage. HTML elements become objects within the document known as nodes, and JavaScript can access these nodes and manipulate them. Through software such as Google Chromes DevTools, you can also manipulate the code of any websites DOM on your local server.
Explain the difference between accessing data from arrays and objects:
Data within an array is accessed numerically based on where it is positioned.In contrast, object data has a property name (either symbol or string) that is called on specifically with either a dot or brackets.
Explain what functions are and why they are useful:
Functions are object statements that have inputs (parameters) that affect their outputs. An important feature of functions is that they can be called on later with different input argument values. This is useful because it minimizes the amount of code needed overall, which minimizes potential errors and makes it easier to debug.


XRP Testnet Faucet
Balance:
0
(20 XRP Reserved)
Address
Destination Tag (Optional)
Amount
Send
Transactions
Hash
Validated
Result
Hash
Validated
Result


Bands In Town
Upcoming Shows This Month.
Some of the bands that will be around are;
Baloji on 18th March
Phil Thompson on 28th March
Logan Richardson on 30th March


|
Support Class Library
A set of tools providing classes and utility
|
A wrapper class that protects a value with a lock. More...
#include "Mutexed.h"
Public Types | |
| using | lock_type = Lock |
| using | guard_type = Guard< lock_type > |
| using | value_type = T |
Public Member Functions | |
| template<class... Args> | |
| Mutexed (Args &&... args) | |
| Mutexed (Mutexed &&) noexcept=default | |
| Mutexed & | operator= (Mutexed &&) noexcept=default |
| Mutexed (const Mutexed &)=delete | |
| Mutexed & | operator= (const Mutexed &)=delete |
| template<class F > | |
| Mutexed & | transaction (F &&f) |
Protected Attributes | |
| value_type | value |
| std::unique_lock< lock_type > | lock {lock_type{}, std::defer_lock} |
A wrapper class that protects a value with a lock.
| T | being the type of value to guard |
| Lock | being the lock type |
| Guard | being the type of guard to use on the lock |
| using scl::async::Mutexed< T, Lock, Guard >::guard_type = Guard<lock_type> |
| using scl::async::Mutexed< T, Lock, Guard >::lock_type = Lock |
| using scl::async::Mutexed< T, Lock, Guard >::value_type = T |
|
inlineexplicit |
|
defaultnoexcept |
|
delete |
|
defaultnoexcept |
|
delete |
|
inline |
|
mutableprotected |
|
protected |


ui-components
A UI component library, powered by 2kb of functional CSS
Download the CSS and use the UI components below
Focused on designing in the browser
Cards
Badges
Buttons
Lists
Pills
Pagination


| << Getting started << | ^^ Table of Contents ^^ | >> Error descriptions and error suppression >> |
While the bookmarklet is handy for manually checking pages of an application, the main value of BidiChecker is intended to come from the API. Using Javascript, developers can write regression tests which become a permanent part of the application's automated test suite.
A web page can be opened, the application perhaps manipulated in some way, and then BidiChecker can be invoked to check the contents of the resulting page. BidiChecker returns a collection of error objects, which can be checked for emptiness or compared for equality against some fixed list of expected errors. Known errors or known false positives (really non-errors) can automatically be suppressed from the results using a rich set of built-in filters.
From time to time, new checks are added to BidiChecker. In order to keep this from breaking existing automated tests, BidiChecker's constructor takes a parameter known as the "revision", which specifies which release of the checks should be run. Higher revision numbers indicate later releases, which check for more error situations.
BidiChecker-based tests should generally choose a specific revision. It is also possible to specify the "latest" revision; in this case, the most comprehensive set of checks will always be run, in exchange for the risk that the test suite may break when a new revision is released.
| Revision | Checks included |
| 1 | |
| 2 (latest) |
All the above, plus: |
Not meant for use in automated tests, the browser bookmarklet will always run the latest revision.
BidiChecker can be integrated into pure Javascript automated unit tests based on a testing framework such as the JSUnit testing package.
A JSUnit test can navigate the application to a page and check it with BidiChecker. A sample test may look like this:
function testAppWithBidiChecker() {
// Do something to load the application being
tested into the page and get it into
// an interesting state for bidi, e.g. displaying
LTR data in an RTL UI.
....
// Revision 2 is currently the latest set of bidi
checks,
// which catches the greatest number of possible
errors.
var checker =
new bidichecker.BidiChecker(bidichecker.REVISION_2);
// Check for errors in handling bidi text. First
parameter is true to indicate an RTL UI.
// It would be false when testing an LTR UI (with
RTL data).
var bidiErrors = checker.checkPage(true,
top.document.body);
checker.runGui(); // If errors are found, run the
error GUI.
assertArrayEquals([], bidiErrors); // Should be no
bidi errors!
}
A complete code example, including a simple bilingual application and BidiChecker-based JSUnit tests, can be found in the samples/reviews/ subdirectory of the download tree.
The tool will produce a list of error messages, one for each bidi bug discovered. Below is a sample of the messages. The contents of the error messages will be explained in more detail later on.
[4] Undeclared LTR text: 'The Princess Bride' followed by ': 23'
in

[4] Undeclared LTR text: 'Leagues Under the Sea' preceded by
'20,000 ' followed by ': 17' in

When running a BidiChecker test interactively, however, it is a lot easier to view the errors right in the page where BidiChecker found them using BidiChecker's interactive error browser. To activate the error browser, call bidichecker.runGui(errors) from your test code if bidichecker.checkPage() returns errors. This will display a dialog box showing a table with the errors found:
The GUI mode is simple to control: Select an error by clicking on it, or change the table's sort order by clicking on a column title. The full description of the currently-selected error appears in the box below the table, and its location is highlighted with a yellow background in a red border where it appears on the page. The page being checked will also be scrolled to keep the error's position near the top of the window if possible. The error description text can be copied from the dialog box.
The page under test remains accessible, so you can select the page contents near an error and view the HTML source using the browser. Note that an error will not be visibly highlighted if its page location is concealed by another page element, for example, or if it is scrolled out of view in a scrollable element. To widen the error table, drag the popup window border and then refresh the window (i.e., press F5).
Whether or not to call runGui() from an automated test may depend on your test environment. On first thought, when run in an automated framework the visual GUI might not seem to add much value. However, some automated test frameworks store a screenshot on the termination of a failed test; in that case, the screenshot might show the location of the first BidiChecker error highlighted on the page. Furthermore, even automated tests are sometimes run manually in a browser during development or for debugging; in that case, full GUI interactivity would be available when a test fails. Even when the test is run automatically, running the GUI probably does not do any harm.
Note that if a test page contains more than one test, using runGui() is problematic. Assuming that each test navigates the application in some way and thus manipulates the DOM, the DOM elements where BidiChecker found an error may no longer have the same content or even exist by the time the GUI is used. To maximize the utility of the GUI, tests should be organized so that no more than one test is run in each test page. If multiple tests are nonetheless contained in each page (perhaps for efficiency reasons), it is still possible to use the GUI effectively when tests are run manually, by requesting that the test runner run a single failing test from the page in isolation.
| << Getting started << | ^^ Table of Contents ^^ | >> Error descriptions and error suppression >> |


Hi my name is Darren Furlong and this is my first effort at
creating a Web page. Some of the pictures have links feel free to explore at
your own discression I will try to update regulary
To start off with I
would like to tell you a bit about myself. I live in a little village in Wexford
called Kilmuckridge which is about 30 kilometres north of the town. I attended
both primary and secondary school in Kilmuckridge. When I didnt get quite what I
had hoped for in my leaving certificate I decided to do a P.L.C. cource in
Enniscorthy a local town, this course could add up to 200 points onto my leaving
cert so going to Waterford wasnt completely out of the question. The year came
and went and I made some very good friends but unfortunately we have lost
contact with each other. The Summer came and I continued to work in a local
supermarket Pettitts at this stage I have been working there for the last two
years. Im still there now but I am considering leaving as I am getting a little
fed up with being treated like dirt. Anyway I was waiting for the results of the
cource to come out but I didnt expect very much as I thought that I had failed
three exams. I was at my girlfriends house when my friend Caitriona rang me
asking how I had gotten on in my exams but I hadnt been. When I rang home my
brother said that I had got Multimedia when he said that I went
mental.
To tell you the truth I had put down Industrial Computing as my
first choice but now Im glad that I didnt get it as Multimedia sounds like it
could interest me moreso than Industrial. When I came to college at first I
didnt know what to expect but the lecturers seemed pretty cool as are the people
in my class and we are getting on really well so far.
My hobbies include
aggressive
rollerblading, break
dancing, socialising,
computers and computer games. I am currently hooked on Tekken3
hence the background. I also have an interest in emulation and
roms Im going for now but keep in touch and I should hopefull develope my
web page building skills. I hope to add links to some pages that interest
me.


Girlfriend Post!
Posted: Mon Mar 30, 2009 11:27 am
Well my Girlfriend wants to know, and i as well would like to know if you who all have girlfriends, how they act when you are playing so much?
Mine gets all angry and pretends she's sleeping and says "maybe the computer should sleep right next to you so it dont get scratched or stolen"
So what are your thoughts about this?
Do girls ever get over the fact that we guys if not with our "Whoppie stick" at least play consoles?
and please do respond on what your girlfriends have done to you while gaming, mine threw a card into my eye once but i love her anyway.
Mm4
Mine gets all angry and pretends she's sleeping and says "maybe the computer should sleep right next to you so it dont get scratched or stolen"
So what are your thoughts about this?
Do girls ever get over the fact that we guys if not with our "Whoppie stick" at least play consoles?
and please do respond on what your girlfriends have done to you while gaming, mine threw a card into my eye once but i love her anyway.
Mm4


Structural Directives
They modify the structure of the DOM
Show Subtitle
People
{{person}}
Quality
Episodes IV, V, VI
Episodes I, II, III
Good
Bad


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Welcome to Daily UI HTML kit project! It's a design challenge of mine. I am adding new design elements daily. Come back tomorrow, grab something new and implement whatever you want FREE
Hi, I'm Roman
UI HTML KIT
Daily
3 hours ago
Moving male moved stars wherein life him third evening firmament, may moving, moved Two first under life female male land midst yielding lesser...
Sea, whose had after their he be beast hath likeness above
T R U E S T O R Y
LIFE
SUCCESS
Saved
LONGREAD
MORE
3 hours ago
His many legs, pitifully thin compared with the size of the rest of him, waved about helplessly as he looked.

Doing business like this takes much more
U N I V E R S E
Saved
SCIENCE
MORE
3 hours ago
Gregor then turned to look out the window at the dull weather.
Drops of rain could be heard hitting the pane
T R U E S T O R Y
WIREFRAMES
DESIGN
Saved
PROTOTYPING
MORE
3 hours ago
His many legs, pitifully thin compared with the size of the rest of him, waved about helplessly as he looked.

Doing business like this takes much more
U N I V E R S E
Saved
SCIENCE
MORE
3 hours ago
Gregor then turned to look out the window at the dull weather.
Drops of rain could be heard hitting the pane
T R U E S T O R Y
WIREFRAMES
DESIGN
Saved
PROTOTYPING
MORE
3 hours ago
Moving male moved stars wherein life him third evening firmament, may moving, moved Two first under life female male land midst yielding lesser...
Sea, whose had after their he be beast hath likeness above
T R A V E L
LIFE
SUCCESS
Saved
LONGREAD
MORE
Tabs with microinteractions. Animated content loading after any tab was clicked. Both of mobile and web layouts with ease out effect.
28th of March
Cards, Post, Blog, Portfolio, News
ZIP file with HTML/CSS/JS code
Thanks for download
Hope to see you tomorrow at
www.dailyuikit.com
Please, share and repost my project to keep it FREE
ZIP file with HTML/CSS/JS code


Hi, my name is Ryan and this is a little bit about me... I am originally from Florida but currently reside in Georgia. As of May 2017, I am a graduate from the Georgia Institute of Technology. After what seemed to be a very long 5 years, I finally completed my BS in Industrial Engineering. During my time here at Georgia Tech I was lucky enough to be the punter for the Yellow Jacket's football team, which I am mostly remembered for my fake punt against Miami... Although I was BODY SLAMMED on national television, I still managed to get the first down!
I have always had a passion for Technology and love how it has the ability to improve the lives of the people who utilize it! I started this journey to becoming a Full Stack Web Developer not too long ago by joining Georgia Tech's Coding Bootcamp. I have learned a tremendous amount in such a short time and love the challenges that come along with development. I am excited and looking forward to the opportunities that lie ahead!
HTML5 |
CSS3 |
Bootstrap |
JavaScript |
jQuery |
Angular.js |
Node.js |
React.js |
PHP |
MySQL |
MongoDB |
AWS |
GitHub |
Heroku |
SSH |
Python |


"Find yourself before finding someone else."
Program fee: Weekly payments of $49.99 for up to however long you need.
Feel free to call and ask for more information<PHONE_NUMBER>
You can also email us at moreinfo@mcservices.org


Pacers send Johnson, Mitrou-Long to Mad Ants
by FOX Sports IndianaThe Indiana Pacers sent two players to their NBA G League affiliate Sunday, assigning forward Alize Johnson and transferring two-way guard Naz Mitrou-Long to Fort Wayne.
Johnson, 23, is averaging 2.6 points and 2.4 rebounds over five games with the Pacers this season. The 2018 second-round draft pick, who has not played for Fort Wayne yet this season, averaged 19.2 points and 13.5 rebounds in 31 games with the Mad Ants a year ago.
Mitrou-Long, a two-way player in his first season with the Pacers, has played three games for the Mad Ants, averaging 22.0 points, 7.0 assists and 6.3 rebounds, and three for the Pacers (4.7 points, 2.3 assists per game) this season. He made his presence known Nov. 18 in a win at Brooklyn, scoring 12 points and dishing out three assists.
Mitrou-Long has seen brief NBA action in each of the past two seasons, splitting his time between the Utah Jazz and their G League affiliate, the Salt Lake City Stars.


Garlic Cheese Grits
- 6 cups cold water
- 1 tsp. garlic, minced
- 1 1/2 cups hominy grits
- 1 tbs. yellow onion, minced
- 1/4 cup milk
- 2 eggs, beaten
- 8 oz. Velveeta, cubed
- 1/2 tsp. salt
- Preheat oven to 350°.
- Bring water to a boil. Add grits and return to a boil.
- Reduce heat and simmer about 5 minutes.
- Remove from heat, add all other ingredients, and put into oiled casserole pan.
- Bake covered for about 45 minutes, stirring midway.
Makes 10 big servings.
Texas Caviar
Cowpeas into caviar. Anything is possible in Texas. This simple dish proves the perfection of canned black-eyed peas. The onion and bell pepper provide a delicate crunch, the vinegar a slight tang. For picnics, diets, our Three Salad Lunch Special or good luck on New Year’s Day, you really ought to get enough practice on this one to make it easy and frequent.
- 2 quarts canned black-eyed peas, drained
- 1 cup yellow onion, diced
- 1 cup red onion, diced
- 1/2 cup green bell pepper
- 1 cup Vinegar and Oil diced Dressing (see Cookbook page 44)
- 2 tsp. garlic, minced (1 tsp. is enough for some folks)
- 1 tbs. Vegetable Seasoning (see Cookbook page 39)
- Mix all ingredients well.
- Marinate 8 to 12 hours, stirring a few times to coat all ingredients well.
Makes 2 1/2 quarts.
Babinka's Potato Salad
- 4 Large potatoes (to be diced after boiling)
- 4 hard-boiled eggs, diced
- 3 heaping tbs. mayonnaise
- 1 heaping tbs. mustard
- 1/2 or more large pickle, diced
- 1/2 cup or more cooked peas
- dash Lawrey's (or other) Season Salt, to taste
- Peel the potatoes, boil them for forty minutes or slightly more. They should be firm enough to dice them (without mashing them).
- Allow the potatoes to cool before trying to dice them. When dicing, the chunks can be fairly coarse.
- Dice the eggs and pickles. These chunks should be smaller than the potato chunks, perhaps the size of large peas.
- Mix all ingredients in a large bowl.
- Adjust the mayo, mustard, and salt, to taste.


vCity, 1.0 : The Novel Concept
vCity 1.0, The Novel Concept
Dedication
This book is dedicated to the men and women of the vrml and vworlds mailing lists, of terra vista, of the eMinds community, and to all the creators and testers of VR software and hardware and protocols throughout the realm.
"I have undertaken, not to see differently from others,
but to look further than others, and whilst they are busied for the morrow only,
I have turned my thoughts to the whole future."
-- Alexis de Tocqueville --


Using Synthetic Images for correcting geometric distortion in Brain MRI
Andrew Van
06/24/21, PhD Thesis Proposal
Dosenbach Lab, Biomedical Engineering
Motivation
MRI: Echo Planar Imaging (EPI)
Single RF excitation pulse + Multiple Gradient Echos → High Temporal Resolution
EPI Sequence Diagram
Blood Oxygenation Level Dependent (BOLD) fMRI
Diffusion Tensor Imaging (DTI) MRI
EPI Signal Loss and Geometric Distortion
Long Readout Times + Field Inhomogeneities → Signal Loss and Distortion
Signal Loss
Geometric Distortion
Correcting Geometric Distortion in EPIs
Field Maps: Map local inhomogeneities in the magnetic field
Phase Encoding Direction: A >> P
Phase Encoding Direction: P >> A
Field maps to correct distortion
Correct for distortion using measured field information.
Uncorrected BOLD
Corrected BOLD
If field map isn't present, distortion correction not possible.
Extant datasets where field map was never collected.
Datasets where field map data is of poor quality.
Can we correct for distortion without field maps?
Synth
Using synthetic MR images for field map-less distortion correction
Preprint on BioRxiv
Key idea: Align directly to undistorted spin echo scans (structural T1/T2) to undistort the EPI.
Anatomical (T2w)
Functional (BOLD)
Problem? Different contrast, Different signal!
Generate Synthetic Image with geometry of spin echo data, but contrast of EPI
Anatomical (T2w)
Functional (BOLD) - Distorted
Synthetic Functional (BOLD)
Functional (BOLD) - Distorted
Synthetic Functional (BOLD)
Functional (BOLD) - Undistorted
Just non-linearly warp images!
How does it work?
Non-linear Regression
Radial Basis Decomposition of T1w/T2w images.
Intensity Mapping between RBF Decompositions and target EPI image
The Synth Model
\[\begin{aligned} \mathbf{y} = f(\mathbf{M}_{\boldsymbol{\gamma}}\mathbf{B}\mathbf{F}\boldsymbol{\theta}; \boldsymbol{\phi}) + \boldsymbol{\epsilon} \\ \end{aligned} \]
\[\begin{aligned} \mathbf{y}: \text{Target EPI Image} \end{aligned} \]
\[\begin{aligned} f/\boldsymbol{\phi}: \text{Displacement Field/Parameterization} \end{aligned} \]
\[\begin{aligned} \mathbf{M}/\boldsymbol{\gamma}: \text{Affine Transform/Parameterization} \end{aligned} \]
\[\begin{aligned} \mathbf{B}: \text{Blur Kernel} \end{aligned} \]
\[\begin{aligned} \mathbf{F}: \text{Matrix RBF Decompositions T1/T2} \end{aligned} \]
\[\begin{aligned} \boldsymbol{\theta}: \text{Regression Weights} \end{aligned} \]
\[\begin{aligned} \boldsymbol{\epsilon}: \text{Gaussian Noise} \end{aligned} \]
Solve for \[\begin{aligned}\boldsymbol{\phi},\boldsymbol{\gamma},\text{ and }\boldsymbol{\theta}\end{aligned} \] simultaneously.
Algorithms
Algorithm 1: SynthTarget
Algorithm 2: SynthUnwarp
Synth Distortion Correction
BOLD (Distorted)
BOLD (1st Iteration - Undistorted)
BOLD (2nd Iteration - Undistorted)
BOLD (3rd Iteration - Undistorted)
Anatomical (T2)
Some Technical Details...
The omni registration library
Synth is built on omni, a custom python/C++17 neuroimaging registration library.
WIP Features:
Library follows modern software engineering practices:
Expanding the Capabilities of Synth
Three Key Areas
Three Key Areas
Diffusion Tensor Imaging
Tool for studying white matter tractography
Three Key Areas
Datasets with no T2-weighted image.
Collection of both a T1w and T2w images in a study design may be time or cost prohibitive.
Even if both images are collected, image quality of one or more structurals may be poor.
T1-weighted image often collected over T2-weighted image (For Anatomical Segmentation)
Can we distortion correct with Synth using only a T1-weighted image?
Synthetic Image Comparison
(a) Real Functional
(c) Synthetic Functional (T1w-only)
(b) Synthetic Functional (T1w/T2w)
(d) Synthetic Functional (T2w-only)
Three Key Areas
Multi-echo fMRI
Researchers have begun to explore multi-echo fMRI sequences in order to improve reliability and facilitate the removal of artifacts from fMRI data.
Can we take advantage of multi-echo information to improve Synth?
Using multiple echoes to fit an exponential decay model to find T2* and S0.
Example of multi-echo data.
Avoiding signal loss by combining information from multiple echos.
Three Key Areas
Diffusion Tensor Imaging
Datasets with limited access to both T1/T2
Multi-echo fMRI
Specific Aims
Aim 1: Apply Synth field map-less EPI distortion correction to diffusion tensor imaging.
Aim 2: Apply Synth field map-less EPI distortion correction in limited data settings.
Aim 3: Extend Synth to leverage multi-echo fMRI data to improve synthetic EPI image generation.
Aim 1: Apply Synth field map-less EPI distortion correction to diffusion tensor imaging.
Hypothesis 1a: A Synth model parameter tuned to DTI image contrast will generate a synthetic image of high contrast similarity to a DTI image.
Hypothesis 1b: By employing a synthetic DTI image as a non-linear registration target, there will be an improvement in global/local geometric correspondence between DTI and structural images.
Hypothesis 1c: A DTI-based Synth correction method will produce reduced variance in parameters of interest in DTI data with comparable outcomes to traditional field map methods.
Hypothesis 1a: A Synth model parameter tuned to DTI image contrast will generate a synthetic image of high contrast similarity to a DTI image.
Contrast similarity between synthetic and real EPI
Aim 1: Apply Synth field map-less EPI distortion correction to diffusion tensor imaging.
Hypothesis 1a: A Synth model parameter tuned to DTI image contrast will generate a synthetic image of high contrast similarity to a DTI image.
Hypothesis 1b: By employing a synthetic DTI image as a non-linear registration target, there will be an improvement in global/local geometric correspondence between DTI and structural images.
Hypothesis 1c: A DTI-based Synth correction method will produce reduced variance in parameters of interest in DTI data with comparable outcomes to traditional field map methods.
Hypothesis 1b: By employing a synthetic DTI image as a non-linear registration target, there will be an improvement in global/local geometric correspondence between DTI and structural images.
Local/Global metrics of image similarity
Aim 1: Apply Synth field map-less EPI distortion correction to diffusion tensor imaging.
Hypothesis 1a: A Synth model parameter tuned to DTI image contrast will generate a synthetic image of high contrast similarity to a DTI image.
Hypothesis 1b: By employing a synthetic DTI image as a non-linear registration target, there will be an improvement in global/local geometric correspondence between DTI and structural images.
Hypothesis 1c: A DTI-based Synth correction method will produce reduced variance in parameters of interest in DTI data with comparable outcomes to traditional field map methods.
Hypothesis 1c: A DTI-based Synth correction method will produce reduced variance in parameters of interest in DTI data with comparable outcomes to traditional field map methods.
Metrics measuring reliability of data
For DTI, an equivalent measure would be the reliability of Fractional Anisotrophy maps.
Synth correction on Primate DTI Data
Primate #1: Abita
Abita (T2)
Data collected by Shashank Anand
Abita (Distorted B0)
Data collected by Shashank Anand
Abita (Undistorted B0 - Synth Corrected)
Data collected by Shashank Anand
Abita (T2)
Data collected by Shashank Anand
Abita (FA map eddy Corrected)
Data collected by Shashank Anand
Abita (FA map Synth Corrected)
Data collected by Shashank Anand
Abita (T2)
Data collected by Shashank Anand
Primate #2: Bassador
Bassador (T2)
Data collected by Shashank Anand
Bassador (Distorted B0)
Data collected by Shashank Anand
Bassador (Undistorted B0 - Synth Corrected)
Data collected by Shashank Anand
Bassador (T2)
Data collected by Shashank Anand
Bassador (FA map eddy Corrected)
Data collected by Shashank Anand
Bassador (FA map Synth Corrected)
Data collected by Shashank Anand
Bassador (T2)
Data collected by Shashank Anand
Primate #3: Cidre
Cidre (T2)
Data collected by Shashank Anand
Cidre (Distorted B0)
Data collected by Shashank Anand
Cidre (Undistorted B0 - Synth Corrected)
Data collected by Shashank Anand
Cidre (T2)
Data collected by Shashank Anand
Cidre (FA map Synth Corrected)
Data collected by Shashank Anand
Specific Aims
Aim 1: Apply Synth field map-less EPI distortion correction to diffusion tensor imaging.
Aim 2: Apply Synth field map-less EPI distortion correction in limited data settings.
Aim 3: Extend Synth to leverage multi-echo fMRI data to improve synthetic EPI image generation.
Aim 2: Apply Synth field map-less EPI distortion correction in limited data settings.
Hypothesis 2a: A Synth model accounting for spatial information will allow for accurate synthetic EPI images generated from only a T1, with high contrast similarity to a target EPI image.
Hypothesis 2b: This modified Synth model will provide comparable EPI distortion correction to the original model Synth where both structural image types are available.
Hypothesis 2a: A Synth model accounting for spatial information will allow for accurate synthetic EPI images generated from only a T1, with high contrast similarity to a target EPI image.
Modeling tissue types separately.
(white) White Matter
(light gray) Everything else
(dark gray) Grey Matter
Comparison of Original Intensity Mapping Model
(left) Synthetic BOLD (T1-only, original model)
(right) Real BOLD
(middle) Synthetic BOLD (T1w/T2w model)
Comparison of Spatially Dependent (SD) Intensity Mapping Model
(left) Synthetic BOLD (T1-only, SD model)
(right) Real BOLD
(middle) Synthetic BOLD (T1w/T2w model)
Aim 2: Apply Synth field map-less EPI distortion correction in limited data settings.
Hypothesis 2a: A Synth model accounting for spatial information will allow for accurate synthetic EPI images generated from only a T1, with high contrast similarity to a target EPI image.
Hypothesis 2b: This modified Synth model will provide comparable EPI distortion correction to the original model Synth where both structural image types are available.
Specific Aims
Aim 1: Apply Synth field map-less EPI distortion correction to diffusion tensor imaging.
Aim 2: Apply Synth field map-less EPI distortion correction in limited data settings.
Aim 3: Extend Synth to leverage multi-echo fMRI data to improve synthetic EPI image generation.
Aim 3: Extend Synth to leverage multi-echo fMRI data to improve synthetic EPI image generation.
Hypothesis 3a: By combining information from multiple echos, Synth-based synthetic image generation will provide higher contrast similarity to it’s EPI target.
Hypothesis 3b: Recovery of signal lost from B0 inhomogeneities will improve local correspondence to structural images near foci of signal drop out.
Hypothesis 3a: By combining information from multiple echos, Synth-based synthetic image generation will provide higher contrast similarity to it’s EPI target.
Optimal Combination BOLD image (Distorted)
\[\begin{aligned} \text{Weighted combination of echos, such that each weight is: } w_{TE} = TE * e^{-TE/T_{2}^{*}} \end{aligned} \]
Synthetic BOLD image using Optimal Combination image as target
\[\begin{aligned}\end{aligned} \]
Optimal Combination (Left), Synthetic (Right)
Aim 3: Extend Synth to leverage multi-echo fMRI data to improve synthetic EPI image generation.
Hypothesis 3a: By combining information from multiple echos, Synth-based synthetic image generation will provide higher contrast similarity to it’s EPI target.
Hypothesis 3b: Recovery of signal lost from B0 inhomogeneities will improve local correspondence to structural images near foci of signal drop out.
Hypothesis 3b: Recovery of signal lost from B0 inhomogeneities will improve local correspondence to structural images near foci of signal drop out.
Anatomical T2-weighted image
Synth Distortion Corrected Optimal Combination Image.
Aim 3: Extend Synth to leverage multi-echo fMRI data to improve synthetic EPI image generation.
Hypothesis 3a: By combining information from multiple echos, Synth-based synthetic image generation will provide higher contrast similarity to it’s EPI target.
Hypothesis 3b: Recovery of signal lost from B0 inhomogeneities will improve local correspondence to structural images near foci of signal drop out.
Specific Aims
Aim 1: Apply Synth field map-less EPI distortion correction to diffusion tensor imaging.
Aim 2: Apply Synth field map-less EPI distortion correction in limited data settings.
Aim 3: Extend Synth to leverage multi-echo fMRI data to improve synthetic EPI image generation.
Specific Aims
Aim 1: Apply Synth field map-less EPI distortion correction to diffusion tensor imaging.
Aim 2: Apply Synth field map-less EPI distortion correction in limited data settings.
Aim 3: Extend Synth to leverage multi-echo fMRI data to improve synthetic EPI image generation.
Reliable alternative for field map-less distortion correction.
Reduced reliance on field maps for distortion correction.
Future Work
Hybrid approach to distortion correction: Combining field map-based distortion correction and Synth.
Deep Learning to accelerate Synth distortion Correction.