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fourc.rds <- "data/R_objects/FourC.sum_alpha01.RDS"
if (!file.exists(fourc.rds) || params$force) {
FourC.sum_alpha01 <- sapply(
ASSAYS,
process_4C_data,
ensdb=mm10.ensdb, chromhmm=chromHMM_liver, loess.alpha=0.01,
simplify = FALSE, USE.NAMES=TRUE
)
saveRDS(FourC.sum_alpha01, fourc.rds)
} else {
FourC.sum_alpha01 <- readRDS(fourc.rds)
}
fourc_combo_plots <- gridExtra::marrangeGrob(lapply(FourC.sum_alpha01, arrange.combo.and.gene.plt), ncol=1, nrow=1, top=NULL)
fourc_indiv_plots <- gridExtra::marrangeGrob(lapply(FourC.sum_alpha01, arrange.indiv.and.gene.plt), ncol=1, nrow=1, top=NULL)
ggsave("output/FourC.combo_plots.pdf", fourc_combo_plots, width=8.3, height=11.7)
ggsave("output/FourC.indiv_plots.pdf", fourc_indiv_plots, width=8.3, height=11.7)
# export processed data for each sample
for (indiv in 1:5) {
indiv.nm <- paste0("Indiv", indiv)
processed.data <- NULL
for (assay in ASSAYS) {
this.chr <- as.character(colData(FourC.sum_alpha01[[assay]]$fc)$chr)[1]
this.data <- FourC.sum_alpha01[[assay]]$plt.df %>%
mutate(sample=as.character(sample)) %>%
separate(sample, c("assay", "sample", "ignore"), "_") %>%
filter(sample==indiv.nm) %>%
dplyr::select(-ignore) %>%
cbind(chrom=this.chr, .) %>%
rename(
frag_start="start",
frag_end="end",
frag_midpt="mid",
dist_from_viewpt="dist",
lognorm_counts="counts"
)
processed.data <- rbind(processed.data, this.data)
}
write_tsv(
processed.data,
paste0("data/4C-seq/processed/FourC.lognorm_counts.all_viewpoints.", indiv.nm, ".tsv"),
col_names=TRUE,
quote=FALSE
)
}
sessionInfo()
R version 3.6.1 (2019-07-05)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: Debian GNU/Linux 9 (stretch)
Matrix products: default
BLAS: /usr/lib/libblas/libblas.so.3.7.0
LAPACK: /usr/lib/lapack/liblapack.so.3.7.0
locale:
[1] LC_CTYPE=en_GB.UTF-8 LC_NUMERIC=C
[3] LC_TIME=en_GB.UTF-8 LC_COLLATE=en_GB.UTF-8
[5] LC_MONETARY=en_GB.UTF-8 LC_MESSAGES=en_GB.UTF-8
[7] LC_PAPER=en_GB.UTF-8 LC_NAME=C
[9] LC_ADDRESS=C LC_TELEPHONE=C
[11] LC_MEASUREMENT=en_GB.UTF-8 LC_IDENTIFICATION=C
attached base packages:
[1] splines stats4 parallel stats graphics grDevices utils
[8] datasets methods base
other attached packages:
[1] cowplot_1.0.0 FourCSeq_1.18.0
[3] LSD_4.0-0 DESeq2_1.24.0
[5] SummarizedExperiment_1.14.1 DelayedArray_0.10.0
[7] BiocParallel_1.18.1 matrixStats_0.55.0
[9] msir_1.3.2 dplyr_0.8.3
[11] tidyr_1.0.0 ggplot2_3.2.1
[13] readr_1.3.1 EnsDb.Mmusculus.v79_2.99.0
[15] ensembldb_2.8.1 AnnotationFilter_1.8.0
[17] GenomicFeatures_1.36.4 AnnotationDbi_1.46.1
[19] Biobase_2.44.0 BSgenome.Mmusculus.UCSC.mm10_1.4.0
[21] BSgenome_1.52.0 rtracklayer_1.44.4
[23] Biostrings_2.52.0 XVector_0.24.0
[25] GenomicRanges_1.36.1 GenomeInfoDb_1.20.0
[27] IRanges_2.18.3 S4Vectors_0.22.1
[29] BiocGenerics_0.30.0
loaded via a namespace (and not attached):
[1] colorspace_1.4-1 ellipsis_0.3.0 mclust_5.4.5
[4] rprojroot_1.3-2 biovizBase_1.32.0 htmlTable_1.13.2
[7] base64enc_0.1-3 fs_1.3.1 dichromat_2.0-0
[10] rstudioapi_0.10 farver_2.0.1 bit64_0.9-7
[13] ggbio_1.32.0 geneplotter_1.62.0 knitr_1.26
[16] zeallot_0.1.0 Formula_1.2-3 workflowr_1.6.2
[19] Rsamtools_2.0.3 annotate_1.62.0 cluster_2.1.0
[22] graph_1.62.0 BiocManager_1.30.10 compiler_3.6.1
[25] httr_1.4.1 backports_1.1.5 assertthat_0.2.1
[28] Matrix_1.2-18 lazyeval_0.2.2 later_1.0.0
[31] acepack_1.4.1 htmltools_0.4.0 prettyunits_1.0.2
[34] tools_3.6.1 gtable_0.3.0 glue_1.3.1
[37] GenomeInfoDbData_1.2.1 reshape2_1.4.3 Rcpp_1.0.3
[40] vctrs_0.2.0 xfun_0.11 stringr_1.4.0
[43] lifecycle_0.1.0 gtools_3.8.1 XML_3.98-1.20
[46] zlibbioc_1.30.0 scales_1.1.0 VariantAnnotation_1.30.1
[49] hms_0.5.2 promises_1.1.0 ProtGenerics_1.16.0
[52] RBGL_1.60.0 RColorBrewer_1.1-2 yaml_2.2.0
[55] curl_4.2 memoise_1.1.0 gridExtra_2.3
[58] biomaRt_2.40.5 rpart_4.1-15 reshape_0.8.8
[61] latticeExtra_0.6-28 stringi_1.4.3 RSQLite_2.1.2
[64] genefilter_1.66.0 checkmate_1.9.4 rlang_0.4.2
[67] pkgconfig_2.0.3 bitops_1.0-6 evaluate_0.14
[70] fda_5.1.4 lattice_0.20-41 purrr_0.3.3
[73] labeling_0.3 GenomicAlignments_1.20.1 htmlwidgets_1.5.1
[76] bit_1.1-14 tidyselect_0.2.5 GGally_1.4.0
[79] plyr_1.8.4 magrittr_1.5 R6_2.4.1
[82] Hmisc_4.3-0 DBI_1.1.0 pillar_1.4.2
[85] whisker_0.4 foreign_0.8-76 withr_2.1.2
[88] survival_3.1-12 RCurl_1.95-4.12 nnet_7.3-14
[91] tibble_2.1.3 crayon_1.3.4 OrganismDbi_1.26.0
[94] rmarkdown_1.18 progress_1.2.2 locfit_1.5-9.1
[97] grid_3.6.1 data.table_1.12.6 blob_1.2.0
[100] git2r_0.26.1 digest_0.6.23 xtable_1.8-4
[103] httpuv_1.5.2 munsell_0.5.0


Contributors
Jon Ambers
David Clements
Malvika Sharan
1. Why these features are important for community succcess
Its one of the important factors that motivates members to keep on being an active contributor
- Helps in self sustaining and increasing visibility within a community
- Motivating academics by publishing papers using models like BioJS: Professional credit
- Even a small edit/update should be mentioned: Social credits
- A profile page for each member where the contributions can be recorded
- A common update news with the topic "Who's doing what?"
- Updates of contribution in the documents, release notes, monthly new letters,
2. tips for making these features happen
- Actively seek out good/authentic mentors
- helps in guiding a project during disagreements among members
3. Key challenges for making this happen
- How to make the community more authentic
- In a smaller community where people are passionate about certain project and don't care about getting credits until they don't get it (fix the problem before it occurs)


Copper Balancing is a read-write DFM action designed to balance copper distribution for plating uniformity over signal layers, enhancing the etching process in different parts of the layer. To achieve this goal, small thieving features are added to blank areas of a layer. Special care is taken to maintain correct spacing between thieving features (round, squares, diamonds or special symbols) and actual signal layer features. Also maintained are the correct properties of the PCB, electrical or other.
Copper Balancing operates on any layer, but is mainly designed for signal layers. Relevant solder mask, silk screen and rout layers are referenced to the processed layer (if they exist).
Note: All thieving
features are tagged with the .pattern_fill special
attribute.
The Copper Balancing Action performs the following:
* It creates a grid of rectangular boxes where each box will contain the symbol selected for the fill pattern.
* The size of the boxes, and therefore distances between symbols (pitch) are:
-
w= Pitch (or Symbol Pitch X, if Shape=Other)
-
h=Pitch (or Symbol Pitch Y, if Shape=Other)
*
The lower left corner of the grid, 0,0, is located at the layer
datum point.
The placement of the shapes in the copper surfaces will be constrained by spacing requirements of circuitry and the existence of copper. A shape will not be created if placed partially on the profile or too close to a trace.
If the layer datum point is moved down, for example, or the shape size changed, one or more rows of shapes may disappear. In some cases you may find that where there is place for two rows of shapes in a certain section, they do not appear.
Displays the total thieving features added to each layer.
|
Attribute |
Description |
|
...copper_balance_added |
Number of thieving features added to each layer |


01 House
02 Flower
03 Bouncy Ball
04 House of the Rising Sun
05 Rising Sun with Flowers
06 Drawing Board
07 Bee-Catching Game
08 Typing Game
09 SupraType™
10 Vectors
11 2048


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Help
The EZ-B v4 accepts Wi-Fi connections from other devices when it is configured as an Access Point.
For example, you would configure the EZ-B v4 to operate in Access Point mode to connect directly to it from another device (
i.e. Computer, iPad, iPhone, Android Device, etc.). When you connect a device to the EZ-B v4 in Access Point mode, you will no longer have access to the internet. In order to have access to the internet from your device while connected to the EZ-B v4 in Acess Point Mode, you will require two Wi-Fi adapters on your device.


An allegedly faulty USB 2.0 to UART TTL 6PIN Connector Module Serial Converter CP2102 is being sold on EBay http://www.ebay.nl/itm/110760144325
The TXD and RXD pins are wrongly labelled. Thanks to alco for finding this, more details are here.
Archived Forum |
|
Faulty Programmer sold on EBaySubmitted by Robert Wall on Sat, 23/06/2012 - 22:21An allegedly faulty USB 2.0 to UART TTL 6PIN Connector Module Serial Converter CP2102 is being sold on EBay http://www.ebay.nl/itm/110760144325 The TXD and RXD pins are wrongly labelled. Thanks to alco for finding this, more details are here. » |
Re: Faulty Programmer sold on EBay
I bought a simular item from the uk on Ebay that I couldent get to work but the guy came back to me saying to connect a switch for reset then when up loading hold reset until loading appears on the screen. That works fine but here it seems as though RX and TX are the wrong way around.
Re: Faulty Programmer sold on EBay
yeah I also connected the reset from the nanodeRF (emonbase) to the RST pins from the programmer, that works like an manual reset if you hold it exactlong enough after pushing the upload buton on arduinoIDE.. ..but it's not so handy like the use of the DTR witch auto-reset your arduinoboard.
for the record..this is the photo that explains it:).
Re: Faulty Programmer sold on EBay
Yes, I have bought three from Mr Chinaman not the same as that one above, they have TX & RX the wrong way around; but it's no problem as they seem to work ok when connected.
Re: Faulty Programmer sold on EBay
Yes, but it is a serious problem if you don't know that the terminations are wrongly described! Ask Alco.
Re: Faulty Programmer sold on EBay
Well on mine Robert its the RX and TX thats the wrong way as its only five pin. You soon find out when you don't read anything on the serial data screen and you can't upload.


I am learning how to code and having lots of fun
I enjoy learning to code and learning in general, what a great skill to have. Here are some of my other skills:
<EMAIL_ADDRESS>My github page


This represents a Tile in the Terrain.
More...
#include <Terrain.h>
This represents a Tile in the Terrain.
◆ MapTile()
| piolot::MapTile::MapTile |
( |
| ) |
|
|
default |
◆ GetPosition()
| glm::vec3 piolot::MapTile::GetPosition |
( |
| ) |
const |
Converts the Tile Position to a Vec3 and returns it.
- Returns
- Position as a Vec3
◆ navClosed
| bool piolot::MapTile::navClosed |
Does this tile belong in the Closed Set.
◆ navCost
| float piolot::MapTile::navCost = 0.0f |
◆ navFCost
| float piolot::MapTile::navFCost = 0 |
◆ navGCost
| float piolot::MapTile::navGCost = 0 |
◆ navNeighbourCount
| int piolot::MapTile::navNeighbourCount = 0 |
Number of Neighbours. Should be in between 3 and 8.
◆ navNeighbours
| MapTile* piolot::MapTile::navNeighbours[8] |
Pointers to the Neighbours of this Tile.
◆ navObstacle
| bool piolot::MapTile::navObstacle = false |
Is there a dynamic obstacle in the path.
◆ navOpen
| bool piolot::MapTile::navOpen |
Does this tile belong to the OpenSet.
◆ navParent
| MapTile* piolot::MapTile::navParent = nullptr |
Which Tile did you arrive at this tile, from?
◆ navTileSet
| int piolot::MapTile::navTileSet |
The TileSet that this Tile belongs to.
If two tiles belong to two different Tile Sets, there exists no path between them.
◆ navWalkable
| bool piolot::MapTile::navWalkable = true |
Is the Tile walkable or does it have any static elements attached to it.
◆ tileIndexX
| int piolot::MapTile::tileIndexX |
◆ tileIndexZ
| int piolot::MapTile::tileIndexZ |
◆ tilePosX
| float piolot::MapTile::tilePosX |
◆ tilePosY
| float piolot::MapTile::tilePosY |
◆ tilePosZ
| float piolot::MapTile::tilePosZ |
The documentation for this class was generated from the following files:


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Data for {{Geography}} submitted via Blue Community Assessment App
Blue Community Assessment
{{About Section}}
{{Geography}}
|
Cover |
{{Cover}} |
|
About this Section |
{{About this Section}} |
|
77. Does there exist a land use or development planning process, including tourism, and provisions for monitoring the plans Implementation? |
{{77. Does there exist a land use or development planning process, including tourism, and provisions for monitoring the plans Implementation?}} |
|
77a. TRUE /FALSE |
{{77a. TRUE /FALSE}} |
|
78. What is the percentage of area subject to control (density, design, etc.)? |
{{78. What is the percentage of area subject to control (density, design, etc.)?}} |
|
78a. 🔢 |
{{78a. 🔢}} |
|
78b.🔗Source |
{{78b.🔗Source}} |
|
79. What percent of the community land area is set aside for biodiversity conservation? |
{{79. What percent of the community land area is set aside for biodiversity conservation?}} |
|
79a. 🔢 |
{{79a. 🔢}} |
|
79b. 🔗Source |
{{79b. 🔗Source}} |
|
80. Are there plans in place to protect biodiversity and monitor the plans effectiveness? |
{{80. Are there plans in place to protect biodiversity and monitor the plans effectiveness?}} |
|
80a. TRUE /FALSE |
{{80a. TRUE /FALSE}} |
|
80b. ✍ plans to protect biodiversity, |
{{80b. ✍ plans to protect biodiversity,}} |
|
81. Does the Community have a system for the management of visitors within and around natural sites, which takes account of their characteristics, capacity and sensitivity, and seeks to optimize visitor flow and minimize adverse impacts? |
{{81. Does the Community have a system for the management of visitors within and around natural sites, which takes account of their characteristics, capacity and sensitivity, and seeks to optimize visitor flow and minimize adverse impacts?}} |
|
81a. TRUE /FALSE |
{{81a. TRUE /FALSE}} |
|
81b. ✍ |
{{81b. ✍}} |
|
82. Does the community have a system to ensure compliance with local, national, and international laws and standards for wildlife interaction and to ensure animal welfare and conservation of animal species? |
{{82. Does the community have a system to ensure compliance with local, national, and international laws and standards for wildlife interaction and to ensure animal welfare and conservation of animal species?}} |
|
82a. TRUE /FALSE |
{{82a. TRUE /FALSE}} |
|
82b. ✍ |
{{82b. ✍}} |
|
83. Reference Images for this Section |
{{83. Reference Images for this Section |
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83a. 📸 |
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83b. 📸 |
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--- layout: post tags: [Productivity, Unit Testing] date: 2009-02-13 07:56:21 UTC title: "SUT Factory" description: "Decouple unit tests from details of the constructor of the System Under Test." --- {% include JB/setup %}
In my Zero-Friction TDD series, I focus on establishing a set of good habits that can potentially make you more productive while writing tests TDD style. While being able to quickly write good tests is important, this is not the only quality on which you should focus.
Maintainability, not only of your production code, but also of your test code, is important, and the DRY principle is just as applicable here.
Consider a test like this:
[TestMethod] public void SomeTestUsingConstructorToCreateSut() { // Fixture setup MyClass sut = new MyClass(); // Exercise system // ... // Verify outcome // ... // Teardown }
Such a test represents an anti-pattern you can easily fall victim to. The main item of interest here is that I create the SUT using its constructor. You could say that I have hard-coded this particular constructor usage into my test.
This is not a problem if there's only one test of MyClass, but once you have many, this starts to become a drag on your ability to refactor your code.
Imagine that you want to change the constructor of MyClass from the default constructor to one that takes a dependency, like this:
public MyClass(IMyInterface dependency)
If you have many (in this case, not three, but dozens) tests using the default constructor, this simple change will force you to visit all these tests and modify them to be able to compile again.
If, instead, we use a factory to create the SUT in each test, there's a single place where we can go and update the creation logic.
[TestMethod] public void SomeTestUsingFactoryToCreateSut() { // Fixture setup MyClass sut = MyClassFactory.Create(); // Exercise system // ... // Verify outcome // ... // Teardown }
The MyClassFactory class is a test-specific helper class (more formally, it's part of our SUT API Encapsulation) that is part of the unit test project. Using this factory, we only need to modify the Create method to implement the constructor change.
internal static MyClass Create() { IMyInterface fake = new FakeMyInterface(); return new MyClass(fake); }
Instead of having to modify many individual tests to support the signature change of the constructor, there's now one central place where we can go and do that. This pattern supports refactoring much better, so consider making this a habit of yours.
One exception to this rule concerns tests that explicitly deal with the constructor, such as this one:
[ExpectedException(typeof(ArgumentNullException))] [TestMethod] public void CreateWithNullMyInterfaceWillThrow() { // Fixture setup IMyInterface nullMyInterface = null; // Exercise system new MyClass(nullMyInterface); // Verify outcome (expected exception) // Teardown }
In a case like this, where you explicitly want to deal with the constructor in an anomalous way, I consider it reasonable to deviate from the rule of using a factory to create the SUT. Although this may result in a need to fix the SUT creation logic in more than one place, instead of only in the factory itself, it's likely to be constrained to a few places instead of dozens or more, since normally, you will only have a handful of these explicit constructor tests.
Compared to my Zero-Friction TDD tips and tricks, this particular advice has the potential to marginally slow you down. However, this investments pays off when you want to refactor your SUT's constructor, and remember that you can always just write the call to the factory and move on without implementing it right away.
Comments
Thank you for your comment.
While you are right that technically, this is another option, I don't like to use Implicit Setup, since it doesn't clearly communicate intent. If you have dozens of test cases in a single Test Class, the Setup may not be very apparant; in essence, it's clouding the state of the Fixture, since it's not readily visible (it may be in a completely different secion of the file).
Another reason I don't like this approach is that it tightly couples the Test Class to the Fixture, and it makes it harder to vary the Fixture within the same Test Class.
Explicitly setting up the Fixture provides a greater degree of flexibility, since you can always overload the SUT Factory to create the SUT in different ways.


I am studying Information Technology at Alexander Technological Education Institute of Thessaloniki. I am aiming to become a Developer and more specific a video game developer. I am also looking on other spectums of computer science though.
GPA: 17.7
Currently Studying
I enjoy messing around on computer related things so i can learn them better. Like microcontrolers, single board computers, linux etc.
Appart from computer stuff i also enjoy playing video games, watching anime, movies and tv shows, reading comics, building stuff, hanging out with friends and going to nerdy events with them.


AAKASH EKBOTE
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{% load staticfiles %}
Open CSS Modal via :target
href
of the link. You can style an element's target state with the selector :target
. When this modal is toggled, an invisible link with href="#"
is positioned absolutely behind the modal content. Clicking it will change the target and thus close the modal.


--- layout: post title: Love the Link tags: [] status: publish type: post published: true meta: _edit_last: '1' dsq_thread_id: '17413798' ---
Sam Ruby comments on Web Oriented Architecture (WOA) and Resource Oriented Architecture (ROA), claiming them both excellent. But he feels the community is forgetting about the Web's fundemental building block...the hyperlink.
The link is the glue that holds the web together. It is what differentiates the web from protocols like ftp that merely serve as access methods for documents.The very notion of a link has become practically inexpressible and virtually unthinkable in the vernacular of SOA.
For the last decade or so, HTML, the primary manifestation of the Web, has used links primarily for human consumptioin and manipulation. Google managed to do something useful by deriving meaning out of the network of links. However, when a web page author thinks of a hyperlink, the anchor tag:
Useful text to human
However, developments, such as the Atom Publishing Protocol, are making use of links oriented to machines by providing semantics and meaning to links:
<link href="http://.." title="Next 20 Entries" type="application/x.atom+xml" rel="next" />
In the traditional anchor tag, enough information is provided for a human to make a decision and the machine to act as an agent in behalf of the human. With the second example, an XML element from Atom's Publishing Protocol schema, provides meaning around the link, including the mimetype and the relationship.
We need to continue to work in the direction of providing hyperlinks for the machine.


A PDF copy of the instructions can be downloaded here for your convenience.
Step 1 - Setting Up Software
- Open either
Safari or Firefox
- Make sure that you have the latest version of Java installed. Most computers have Java and regularly update it, but if yours does not it will cause problems.
- This process doesn’t work through Google Chrome and other browsers.
- Go to
vpn.mtu.edu
- Enter your Michigan Tech ISO
Username and Password
- Under
"Network Access"
, click
"Get an MTU address"
- A Window will appear that will say:
"Installing Network Access for the first time"
- Select installation method: download and run. Save the file.
- Go to
"Downloads folder"
, and click the file
"SSLVpn.pkg.tgz"
.
- It will extract a file called “mac_sslvpn.pkg” . Click that file and run it.
- Installer will open. Install the package.
- It may ask you "Install for which drive?" Use the default drive or whatever drive you use for installing applications.
- It probably will ask for an Admin Password. Type the password.
-
Quit your webrowser completely and
restart it.
- “X-ing” out the browser windows will not quit the program, you need to press Command(⌘)-Q or go to Safari → Quit Safari on the toolbar at the top of your screen.
- Bookmarking this site and vpn.mtu.edu can be helpful for this step. You could also copy the URL for this page and paste it into the address bar of your browser when you restart it.
Step 2 - Connecting to Michigan Tech
- Go to vpn.mtu.edu and log back in
- Enter your Michigan Tech ISO username and password
- Click "Get an MTU address"
- This time the windows will connect to Michigan Tech VPN instead of asking you to install a program
- Leave that window open
- If you close it, you will lose your connect to the Michigan Tech Network.
- Minimizing the window will not end the connection
Step 3 - Connecting to the Home Drive
- Goto "Finder"
-
On the menu bar at the very top of your screen, click "Go", then "Connect to Server" from the menu
- This can be done by pressing ⌘-K
-
Copy and Paste the following into the "Server Address" slot:
smb://multidrive.iso.mtu.edu
- In the next window that pops up, make sure "Register User" is selected. Enter "MTU\" in the "Name" slot, followed by your Michigan Tech Username (no space between them). Then enter your Michigan Tech Password in the password slot.
- For example, if your username is "username", you would type in “MTU\username”
- Make sure that you use the correct slash mark; it’s “\” , and not “/” .
-
Press "Connect"
- It is suggested that you check the "Remember Password" box to speed up this process in the future.
- It will ask you what volume you to mount, "macmulti" and "multidrive." Select "macmulti"
-
You will see a window with an icon named "multidrivemounter-1.0.dmg". Click it.
-
When a window opens, drag the Multidrive Mounter icon to your Desktop or folder of your choice to copy it.
- There is also a Readme file. Looking at it is optional
- Click the Multidrive mounter icon.
-
It will ask for your Michigan Tech Username, enter it
- The "MTU\" is not needed here
-
Whena window pops up with server choices, select mtucifs_home, and press OK
- You are now connected to your home drive. Use Finder to navigate to your drive
Connecting to the Home Drive afterwords
After you log out or restart your computer, you will be disconnected form the homedrive. These steps tell you how to re-connect without going through a lengthy installaion process and restarting yur browser
- Connect to the Michigan Tech Network following the steps from step 2.
- Use the Multidrive Mounter to connect to mtucifs_home. This time it will ask you for your password. You can select for your computer to remember your password.
- You are now connected to your home drive. Use Finder to navigate to your drive


{% extends 'layouts.html' %} {% block content %}
Click the photo to be taken to the LinkedIn page!
Originally, I had to make this as an assignment for a Career Planning course, but now I'm kind of obsessed with it. Even when I meet someone in real life I have stopped asking for normal social media, and immediatly go for the LinkedIn connection.
I made this Instagram account when I was in the 5th grade. It is so weird to see all my archived posts and see the confidence I had in the worsts pictures of me possible. Everyone has that cringe phase.
{% endblock content %}


My first paragraph.
Activate debugging in your browser (Chrome, IE, Firefox) with F12, and select "Console" in the debugger menu.


{t} An email which contians below information has been sent to you Please remember your account information and keep the email in a safe place.{/t}


The three system nodes to the Core Processing Matix indexed below. Two nodes are incorrect. Manual input required. Select core system node that is reporting correctly.
Node 1 is reporting that Node 2 is malfunctioning.
Node 2 is reporting that Node 3 is malfunctioning.
Node 3 is reporting that Node 2 is malfunctioning.
-Node 1 is reporting correctly.
-Node 2 is reporting correctly.
-Node 3 is reporting correctly.
projectAnima (
Core Functions . . . . GREEN
Initializing Visual Memory Input . . . . GREEN
Diagnostics Check . . . . GREEN
RAM check . . . . GREEN
ROM check . . . . GREEN
Disc check . . . . GREEN
Listing Visual Receptors
Visual Input - Partition 1 . . . . FAILED
Visual Input - Partition 2 . . . . FAILED
Visual Input - Partition 3 . . . . FAILED
Visual Input - Partition 4 . . . . GREEN
Visual Input - Partition 5 . . . . FAILED
Visual Input - Partition 6 . . . . GREEN
MISSING PARTITIONS
MANUAL ACCESS REQUIRED
Add the missing visual node based upon current randomized pattern.
1 - 2 - 4 - 7 - 11 - 16 - ??
- 18 -
- 20 -
- 22 -
- 24 -
Correct Input Selected. Select system functions have been restored. Contine to repair current system functions.
projectAnima (
Core Functions . . . . GREEN
Restarting Visual Receptors . . . . GREEN
Initializing Motor Variables . . . . GREEN
Diagnostics Check . . . . GREEN
Foward Port Sensor Check . . . . GREEN
Portside Sensor Check . . . . GREEN
Starboard Sensor Check . . . . GREEN
Rear Port Sensor Check . . . .  GREEN
Left-Arm Input . . . . GREEN
Right-Arm Input . . . . FAILED
Left-Leg Input . . . . GREEN
Right-Leg Input . . . . FAILED
Sensor Data Processing Matrix . . . . FAILED
PHYSICAL OUTPUT - [RIGHT] - NOT RECOGNIZED
SENSOR DATA PROCESSING MATRIX NOT RECOGNIZED
MANUAL ACCESS REQUIRED
Provide sense of self. Missing data on Matrix Recognition. Finish final value for the patterns below.
Processing Matrix power cell drain must not exceed total. Different Motivators measure the same total energy pool as either 300 small pulses or 180 large pulses. 100 small pulses have been used. Manually input the remaining large pulses to for the Motivator.
60 LG pulses
120 LG pulses
180 LG pulses
200 LG pulses
Correct Input Selected. Select system functions have been restored. Contine to repair current system functions.
ALERT
Wrong selection inputted :: MALFUNCTION
Malfunctions allowed until Self-Destruct
of 3
:: Welcome to projectAnima ::
You have been activated, D-1012/XV. All mainframe modules are currently offline. Your systems cannot function.
Re-activate mainframe modules...
---Certain modules have been denied access....automatic security protocol activated.
---Repair modules, in order of importance, before access is granted.


PROX.IMITY.IO (Distant Early Warning) is a project gathering the first stage of research for works on astrological narratives of modern satellite technology and its mundane, personal, and geopolitical ramifications. Taking an experimental, ficitonal approach to the present, this project mapped satellites visible in the sky over London back onto the Earth and began speculating on what narratives they could trace.
The project's research focused on the historical origins, uses, and relevance of Western astronomy and astrology, alongside the development of space technologies and aesthetics. The website gathered notes, reflections, and archival material from this process.
As an end to the INFRA_SPECTION Residency programme at Space Studios, London, the White Building exhibited PROX.IMITY.IO research materials in spring 2015 as part of the group exhibition Staying with the Trouble. The culmination of the first stage of the project resulted in an installation, interactive site, and workshop, and the project continues with the collaborative work of the OSO initiative.


Document the steps for deploying a software package.
Assumptions
Environment(s) have been properly installed and configured and are running.
Ant has been installed.
Git client has been installed.
https://github.com/stelligent/continuous_integration_example repo has been cloned locally.
High-Level Steps
Compile the source code.
Run static analysis on the application code.
Launch the environment provisioning.
Launch the deployment.
Run functional tests on the application.
Detailed Steps
Go to software directory.
Get latest changes from GitHub.
Run an Ant build.
EXERCISE: Document additional build steps
Document additional steps that might occur in a build process in a text file. Upload a text file with your answers into your cd29artifacts S3 bucket (where 00 is your student id).


{% extends 'base.html' %} {% block content %}
{{business.name}}
{{business.location}}
Get easy instant help
Ambulance
999
Police
919
FireFighters
999
Neighborhood Area Code update enables the neighbours in this area to be updated with the latest area news and any concerns.
We all live in a society and are all bound to a neighborhood. Neighborhood is very important and it does definitely have an impact on what we are and how and where we live in. Unless we are happy in living in a good neighborhood, we could not get to live peacefully.


CordieBot communication
Enter data for changing proclamation table.
Press the teal button when ready to act.
Press the yellow button to listen to the message.
Action
Add a message.
Change a message.
Delete a message.
Retrieve one message.
Retrieve messages by month and day.
Retrieve all messages.
Resequence messages.
Message ID
When will this message be used?
Just this one day.
This day every year.
Any time.
Effective Date (yyyy)
(mm)
(dd)
Message
SEND
LISTEN


Changelog
All notable changes to this project will be documented in this file.
The format is based on Keep a Changelog, and this project adheres to Semantic Versioning.
[Unreleased]
[1.5.0] - 2021-12-23
Added
- New interface
\AKlump\LoftLib\Code\ShortCodesInterface
- New method
Arrays::getClosestValueTo()
[1.4.0] - 2021-07-17
Added
- Bash::confirm() for user input collection.
[1.3.0] - 2021-06-27
Added
- Shortcodes with
work as if
, i.e., [foo id="5"]lorem[/foo]
is the same as [foo id="5"]lorem[/foo]
. In earlier versions
was not supported.
[1.2] - 2021-06-05
Changed
[1.1.0] - 2019-12-16
Changed
- Due to a design flaw in the Bash\Configuration a new class has replaced the old that hashes the variable names. This should be used moving forward but requires code refactoring. If you do not want to refactor code then use the new deprecated new class Bash\LegacyConfiguration. Otherwise refactor your code to take advantage of the design correction.
Fixed
- Problem with Bash variable names and special chars by rewriting \AKlump\LoftLib\Bash\Configuration.
[1.0.21] - 2019-06-07
Changed
- Updated tests to work with PHPUnit 6.x, 7.x


@* * Copyright 2021 HM Revenue & Customs * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. *@ @import uk.gov.hmrc.agentoverseasfrontend.config.AppConfig @import uk.gov.hmrc.agentoverseasfrontend.controllers.application.routes @import uk.gov.hmrc.agentoverseasfrontend.views.html._ @this(mainTemplate: main_template) @(tradingName: String, contactEmail: String, guidanceApplicationUrl: String)(implicit request: Request[_], messages: Messages, appConfig: AppConfig) @mainTemplate(title = Messages("applicationComplete.title")){
@Html(Messages("applicationComplete.whatHappensNext.para1",Html(s"$contactEmail")))
@Messages("applicationComplete.whatHappensNext.para2")
@Messages("applicationComplete.whatHappensNext.para3")
@Messages("applicationComplete.whatHappensNext.para4")
@Messages("applicationComplete.whatYouCanDoNext.link") @Messages("applicationComplete.whatYouCanDoNext.text")
@Messages("applicationComplete.help.text")
@Messages("applicationComplete.print")


First, let's review how you transform lists in JavaScript.
Given the code below, we use the map()
function to take an array of numbers
and double their values. We assign the new array returned by map()
to the variable doubled
and log it:
const numbers = [1, 2, 3, 4, 5];
const doubled = numbers.map((number) => number * 2);
console.log(doubled);
This code logs [2, 4, 6, 8, 10]
to the console.
In React, transforming arrays into lists of elements is nearly identical.
You can build collections of elements and include them in JSX using curly braces {}
.
Below, we loop through the numbers
array using the JavaScript map()
function. We return a

element for each item. Finally, we assign the resulting array of elements to listItems
:
const numbers = [1, 2, 3, 4, 5];
const listItems = numbers.map((number) =>

{number}

);
We include the entire listItems
array inside a

element, and render it to the DOM:
ReactDOM.render(

{listItems}
,
document.getElementById('root')
);
This code displays a bullet list of numbers between 1 and 5.
Usually you would render lists inside a component.
We can refactor the previous example into a component that accepts an array of numbers
and outputs a list of elements.
function NumberList(props) {
const numbers = props.numbers;
const listItems = numbers.map((number) =>

{number}

);
return (

{listItems}

);
}
const numbers = [1, 2, 3, 4, 5];
ReactDOM.render(
<NumberList numbers={numbers} />,
document.getElementById('root')
);
When you run this code, you'll be given a warning that a key should be provided for list items. A "key" is a special string attribute you need to include when creating lists of elements. We'll discuss why it's important in the next section.
Let's assign a key
to our list items inside numbers.map()
and fix the missing key issue.
function NumberList(props) {
const numbers = props.numbers;
const listItems = numbers.map((number) =>

{number}

);
return (

{listItems}

);
}
const numbers = [1, 2, 3, 4, 5];
ReactDOM.render(
<NumberList numbers={numbers} />,
document.getElementById('root')
);
Keys help React identify which items have changed, are added, or are removed. Keys should be given to the elements inside the array to give the elements a stable identity:
const numbers = [1, 2, 3, 4, 5];
const listItems = numbers.map((number) =>

{number}

);
The best way to pick a key is to use a string that uniquely identifies a list item among its siblings. Most often you would use IDs from your data as keys:
const todoItems = todos.map((todo) =>

{todo.text}

);
When you don't have stable IDs for rendered items, you may use the item index as a key as a last resort:
const todoItems = todos.map((todo, index) =>
// Only do this if items have no stable IDs

{todo.text}

);
We don't recommend using indexes for keys if the order of items may change. This can negatively impact performance and may cause issues with component state. Check out Robin Pokorny's article for an in-depth explanation on the negative impacts of using an index as a key. If you choose not to assign an explicit key to list items then React will default to using indexes as keys.
Here is an in-depth explanation about why keys are necessary if you're interested in learning more.
Keys only make sense in the context of the surrounding array.
For example, if you extract a ListItem
component, you should keep the key on the <ListItem />
elements in the array rather than on the

element in the ListItem
itself.
Example: Incorrect Key Usage
function ListItem(props) {
const value = props.value;
return (
// Wrong! There is no need to specify the key here:

{value}

);
}
function NumberList(props) {
const numbers = props.numbers;
const listItems = numbers.map((number) =>
// Wrong! The key should have been specified here:
<ListItem value={number} />
);
return (

{listItems}

);
}
const numbers = [1, 2, 3, 4, 5];
ReactDOM.render(
<NumberList numbers={numbers} />,
document.getElementById('root')
);
Example: Correct Key Usage
function ListItem(props) {
// Correct! There is no need to specify the key here:
return
{props.value}
;
}
function NumberList(props) {
const numbers = props.numbers;
const listItems = numbers.map((number) =>
// Correct! Key should be specified inside the array.
<ListItem key={number.toString()} value={number} />
);
return (

{listItems}

);
}
const numbers = [1, 2, 3, 4, 5];
ReactDOM.render(
<NumberList numbers={numbers} />,
document.getElementById('root')
);
A good rule of thumb is that elements inside the map()
call need keys.
Keys used within arrays should be unique among their siblings. However they don't need to be globally unique. We can use the same keys when we produce two different arrays:
function Blog(props) {
const sidebar = (

{props.posts.map((post) =>

{post.title}

)}

);
const content = props.posts.map((post) =>

{post.title}

{post.content}

);
return (

{sidebar}

{content}

);
}
const posts = [
{id: 1, title: 'Hello World', content: 'Welcome to learning React!'},
{id: 2, title: 'Installation', content: 'You can install React from npm.'}
];
ReactDOM.render(
<Blog posts={posts} />,
document.getElementById('root')
);
Keys serve as a hint to React but they don't get passed to your components. If you need the same value in your component, pass it explicitly as a prop with a different name:
const content = posts.map((post) =>
<Post
key={post.id}
id={post.id}
title={post.title} />
);
With the example above, the Post
component can read props.id
, but not props.key
.
In the examples above we declared a separate listItems
variable and included it in JSX:
function NumberList(props) {
const numbers = props.numbers;
const listItems = numbers.map((number) =>
<ListItem key={number.toString()}
value={number} />
);
return (

{listItems}

);
}
JSX allows embedding any expression in curly braces so we could inline the map()
result:
function NumberList(props) {
const numbers = props.numbers;
return (

{numbers.map((number) =>
<ListItem key={number.toString()}
value={number} />
)}

);
}
Sometimes this results in clearer code, but this style can also be abused. Like in JavaScript, it is up to you to decide whether it is worth extracting a variable for readability. Keep in mind that if the map()
body is too nested, it might be a good time to extract a component.


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Scarcity and IP
A response to "IP in a World Without Scarcity":
Mark Lemley defends the necessity of protecting Intellectual Property (IP) by arguing that maintaining the scarcity of new ideas is what pushes innovation forward according to economic principles. Given the state of the world now, where ideas, people, and more open and interconnected than ever, this argument of scarcity begins to fall apart.
I argue that in today's day and age, more people are working on more ideas than ever before. This can't be anything but conducive to increasing the value and variety of IP. Whereas Lemley argues that the advent of "cost-reducing technologies" that distribute such ideas and IP is detrimental to the scarcity that drives our economy, I claim that the availability and accessibility of these more powerful tools have given us stronger propensity to a greater variety and depth of ideas.
A utilitarian would disagree with Lemley's argument. If the argument for the overall diversity and impact of these ideas is decreasing when scarcity is enforced, then a utilitarian would agree with the claim that the overall utility of the population has decreased. Given that the best policy is to produce more and higher-impact ideas, we need not be concerned with scarcity but how technology can accelerate the executation and propagaion of great ideas. As iterative and dynamic race, we need more ideas to filter and sieve out better ideas. As a sharp sword sharpens another, a technological era can only improve the quality and quantity of ideas by acting as a catalyst to this naturally human process.


truncdist: Truncated Random Variables
A collection of tools to evaluate probability density
functions, cumulative distribution functions, quantile functions
and random numbers for truncated random variables. These functions are
provided to also compute the expected value and variance. Nadarajah
and Kotz (2006) developed most of the functions. QQ plots can be produced.
All the probability functions in the stats, stats4 and evd
packages are automatically available for truncation..
| Version: |
1.0-2 |
| Depends: |
R (≥ 2.0.1), stats4, evd |
| Published: |
2016-08-30 |
| Author: |
Frederick Novomestky,
Saralees Nadarajah |
| Maintainer: |
Frederick Novomestky <fnovomes at poly.edu> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: |
no |
| CRAN checks: |
truncdist results |
Downloads:
Reverse dependencies:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=truncdist
to link to this page.


<%= t("Add Features") %>
You can add additional functionality to your blog by enabling modules. Some modules, such as your administration panel, are required. However you can choose in include others: <%- form %>
You can add additional functionality to your blog by enabling modules. Some modules, such as your administration panel, are required. However you can choose in include others: <%- form %>


{% for name, options, selected_value in select_options %} {% endfor %}
Select the feature to use and the distance metric from the dropdown menus. Closest matches are displayed below, given in groups depending on whether the image was classified as positive by that style classifier.
Click on any of the images below to search by that image. The number under each result image is the distance (according to the selected metric) to the query image.


In my previous post I've shown several generic use cases for foreach(), a new scripting functionality introduced in common_schema.
In this part I present DBA's handy syntax for schema and table operations and maintenance.
Confession: while I love INFORMATION_SCHEMA's power, I just hate writing queries against it. It's just so much typing! Just getting the list of tables in a schema makes for this heavy duty query:
SELECT TABLE_NAME FROM INFORMATION_SCHEMA.TABLES WHERE TABLE_SCHEMA='sakila' AND TABLE_TYPE='BASE TABLE';
When a join is involved this really becomes a nightmare. I think it's cumbersome, and as result, many do not remember the names and meaning of columns, making for "oh, I need to read the manual all over again just to get that query right". Anyway, that's my opinion.
A SHOW TABLES statement is easier to type, but cannot be integrated into a SELECT query (though we have a partial solution for that, too), and besides, when filtering out the views, the SHOW statement becomes almost as cumbersome as the one on INFORMATION_SCHEMA.
Which is why foreach() offers handy shortcuts to common iterations on schemata and tables, as follows:
Use case: iterate all databases
call foreach('schema', 'CREATE TABLE ${schema}.event(event_id INT, msg VARCHAR(128))');
In the above we execute a query on each database. Hmmm, maybe not such a good idea to perform this operation on all databases? Let's filter them:
Use case: iterate databases by name match
call foreach('schema like wordpress_%', 'ALTER TABLE ${schema}.wp_posts MODIFY COLUMN comment_author VARCHAR(96) NOT NULL');
The above will only iterate my WordPress databases (I have several of these), performing an ALTER on wp_posts for each of those databases.
I don't have to quote the like expression, but I can, if I wish to.
I can also use a regular expression match:
call foreach('schema ~ /^wordpress_[0-9]+$/', 'ALTER TABLE ${schema}.wp_posts MODIFY COLUMN comment_author VARCHAR(96) NOT NULL');
Use case: iterate tables in a specific schema
Time to upgrade our sakila tables to InnoDB's compressed format. We use $(), a synonym for foreach().
call $('table in sakila', 'ALTER TABLE ${schema}.${table} ENGINE=InnoDB ROW_FORMAT=COMPRESSED');
The above will iterate on tables in sakila. I say tables, since it will avoid iterating views (there is still no specific syntax for views iteration). This is done on purpose, as my experience shows there is very little in common between tables and views when it comes to maintenance and operations.
Use case: iterate tables by name match
Here's a interesting scenario: you wish to work on all tables matching some name. The naive approach would be to:
SELECT TABLE_SCHEMA, TABLE_NAME FROM INFORMATION_SCHEMA.TABLES WHERE TABLE_NAME = 'wp_posts' AND TABLE_TYPE = 'BASE TABLE'
Wait! Are you aware this may bring your server down? This query will open all databases at once, opening all .frm files (though thankfully not data files, since we only check for name and type).
Here's a better approach:
call foreach('table like wp_posts', 'ALTER TABLE ${schema}.${table} ENGINE=InnoDB');
(There's now FULLTEXT to InnoDB, so the above can make sense in the near future!)
The good part is that foreach() will look for matching tables one database at a time. It will iterate the list of database, then look for matching tables per database, thereby optimizing the query on INFORMATION_SCHEMA.
Here, too, I can use regular expressions:
call $('table ~ /^wp_.*$/', 'ALTER TABLE ${schema}.${table} ENGINE=InnoDB');
Conclusion
This is work in the making, but, as someone who maintains a few productions servers, I've already put it to work.
I'm hoping the syntax is easy to comprehend. I know that since I developed it it must be far more intuitive to myself than to others. I've tried to keep close on common syntax and concepts from various programming languages.
I would like to get as much feedback as possible. I have further ideas and thoughts on the direction common_schema is taking, but wish take it in small steps. Your feedback is appreciated!
comments powered by Disqus


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A comma separated list of twitter handles.


TL;DR As other community thoughtleaders like Jonald_Fyookball, Roger Ver, BCH devs et. al and those like Vitalik Buterin are realizing, Coinjoin is the best privacy method for blockchains. Dash has the best implementation of Coinjoin in PrivateSend with several protocol level-features that means that no other coin including Monero can provide the same level of security, speed, and strength of privacy by anon set size that Dash can. End TL;DR


|
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Soccer Ball
I want to play soccer or “The game is starting!“ The black-and-white ball is mostly used in conjunction with European soccer. |
U+26BD |
|
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Basketball
Let's shoot some hoops! Two teams are trying to shoot the ball into the opponent's basket. There is a World Cup every four years. Professional players are among the highest salaried professional athletes. |
U+1F3C0 |
|
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Baseball
I would like to watch a baseball game! The white ball with the red stitching is typical for the ball game. National sport in the US as well as in Latin American and East Asian countries. Symbol for USA and sports in general. |
U+26BE |
|
🥎 |
Softball
I love ball sports! Softball is a variant of baseball and popular in the US. Among other things, the difference lies in the size of the ball and the playing field. Softball is predominantly played by women, baseball predominantly by men. |
U+1F94E |
|
🥏 |
Frisbee
We are going to play frisbee in the park! The plastic discus is popular as a beach toy and sports equipment for individual and team sports. Also dogs love to catch the disc. |
U+1F94F |
|
|
Billiards
The black billiard ball with the number 8 may only be potted when all other balls are already gone. Represents the only remaining one (last man standing), a difficult situation, a risk-taking player. Fatal motive: With this emoji, the opposite effect is meant to be achieved. |
U+1F3B1 |
|
🥍 |
Lacrosse stick and ball
The fastest game on two legs! Tactics, team spirit, speed and stamina are connected to the team sport. Aim: to use the stick to get the ball into the opponent's goal. College sport and popular in the USA and Canada. |
U+1F94D |
|
|
Flag in hole
The aim of a fairway in golf is to hole the put out. The flag helps to spot the hole from afar. The ball is no longer hit at this point, but rolled into the hole over the grass. |
U+26F3 |
|
🏹 |
Bow And Arrow
Cupid is aiming at you! Bow and arrow are often associated with a love arrow. Can also stand for archery. Symbolic meaning: point to an event or hit the target. |
U+1F3F9 |
|
|
Fishing Rod With Fish
Fishing for compliments or “I have other fish to fry!“ A popular recreational sport that means relaxation for many people. |
U+1F3A3 |
|
🛹 |
Skateboard
Let's go to the skate park! The skateboard is a board with two axles and four wheels. Not so much a means of transportation, but a hobby, sport and distinct culture. “Asphalt surfing“ was born in the 60s in California. |
U+1F6F9 |
|
|
Ski And Ski Boots
Winter sports are very popular. This emoji can refer to a person who skis. Or to a place where people can go skiing. Maybe you still have to buy some equipment or lend it locally. |
U+1F3BF |
|
⛷ |
Skier
Let's go on a skiing holiday! Since the 1950s, alpine skiing has become a leisure sport. The Alps are a popular destination. A lift transports the skiers to the slopes. |
U+26F7 |
|
⛹ |
Person Dribbling Ball
I'm doing sports now! Female person dribbling a basketball. Emoji is a symbol for sport and activity. Can be the invitation to a game. |
U+26F9 |
|
🏌 |
Person playing golf
Do you have time to play golf? Golfer at the tee. A ball should be played from the tee into the hole with as few hits as possible. Traditional ball sport. Formerly being the sport of the rich and powerful, golf has long turned into a mass sport. |
U+1F3CC |
|
|
Horse Race
A jockey is riding a horse. Professional riders must complete a three-year training. Horse racing is one of the oldest sports. Can be used in conjunction with a competition, e.g., who will be home quicker. |
U+1F3C7 |
|
|
Swimmer
Swimming is suitable for everyone regardless of age and condition. The person can swim in the swimming pool, a lake or in the sea. Let's go for a swim! |
U+1F3CA |
|
|
Cup
A shiny cup, usually with an engraving. A symbol of success and recognition of the performance of an individual or a team. We won! |
U+1F3C6 |
|
🥇 |
First Place Medal
I won! The winner of a competition is awarded the gold medal. In the figurative sense, can also refer to a person who considers himself/herself a winner. |
U+1F947 |
|
🥈 |
Second Place Medal
We are second!  In sports traditionally the first three places are called winners. |
U+1F948 |
|
🥉 |
Third Place Medal
We got bronze! The bronze medal is the award for the third place (mostly) in an athletic competition. The medal is hanging on a ribbon and is worn around the neck during the award. |
U+1F949 |
|
🏅 |
Sport Medal
The other side of the coin. Who will win the most medals? The award is given at many important sports events, e.g. the Olympic Games. |
U+1F3C5 |
|
🎗 |
Reminder Ribbon
Symbol of solidarity. As a sign of the (politically independent) support of military personnel or to draw attention to the disease endometriosis. |
U+1F397 |
|
|
Performing Arts
Would you like to go to the theater with me? The two masks have their origin in the tragicomedy of the ancient Greek theater. One face smiles, the other one frowns. Represents the drama of the story, the good and the bad character, the hero of the story and his opponent. |
U+1F3AD |
|
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Headphones
Speakers instead of sneakers. Represents a certain lifestyle, e.g. hipsters like to wear huge headphones. Can generally be used for music: is currently listening to a great album or podcast. |
U+1F3A7 |
|
|
Guitar
The musical instrument is displayed as either acoustic or electric guitar. Represents music, concerts and festivals. The guitar has been around for 5000 years by now. |
U+1F3B8 |
|
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Violin
String the bows to one's violin, “He fiddles with money“ or “She is as fit as a fiddle.“ Can also stand for the string instrument itself or classical music. |
U+1F3BB |
|
|
Dice
The die is cast. Dice are used in many board games and in the casino. Luck or destiny will decide on how the hexagonal die will fall. |
U+1F3B2 |
|
♟ |
Chess piece
That was a clever (chess) move, “checkmate“, or “treat someone like a chess piece“. Strategic board game for two people with 16 pieces each in light and dark color. Symbol of intelligence and power, but also the fight between good and evil. |
U+265F |
|
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Alien Monster
Let's play something! The monster smiley is known from Arcade and computer games. Is also often interpreted as an alien. |
U+1F47E |
|
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Direct Hit
Smash hit! “You got it to the point” or “I agree with you”. A blue arrow right in the dartboard's bullseye. Is also used to indicate a dart game. |
U+1F3AF |
|
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One-armed bandit
We are going to Vegas! The slot machine is operated with a lever, that is, one arm, and, like a bandit, takes away your money. The number 7 is considered a lucky number. If the same symbol appears in each display, the machine spits out the winnings. |
U+1F3B0 |
|
🧩 |
Puzzle piece
It is tricky, “How does this all fit together?“ or “You are the missing piece“. Be it a game or a leisure activity: The puzzle pieces are reassembled into a complete picture. Can be an expression of confusion or mystery. Trains the senses of sight and touch as well as logical but also abstract thinking. |
U+1F9E9 |


LET COMPUTE YOUR STUDENTS RESULT Login {% csrf_token %} {% if login_form.errors %} Your username and password didn't match. Please try again. {% endif %} {{login_form.username.label_tag}} {{login_form.username}} {{login_form.password.label_tag}} {{login_form.password}} Forgot Password? Click Here Are You New Here? Click Here To Register


{% load static %}
{{Error}}
Welcome to the knight's tour, a centries-old challenge of moving a knight on a chess board to every square exactly once. By selecting the options below, you may choose the size of the board and the square on which the knight begins the tour.
A closed tour is one in which the knight's final position is one knight's move from the starting position. It typically takes much longer to find a solution to a closed tour, if such a solution exists. An open tour is one in which the knight visits every square exactly once, but the final position could be any square on the board.


{%if execution_time %}
Results for {{query_name}} with {{similarity}}% of similarity. ({{execution_time}})
{% endif %}
View all results
{% for idx, word, distance in score %}
or go to the administrator panel. The administrator uses regular search, not the Levenshtein distance.
Please provide name or passport. If both are provided only name will be used.


This is the first paragraph
This is the second paragraph
This is the third paragraph
This is the first div.
This is the second div.
Click Me
Row 1
Add Row


Projects
This is a collection of BrainPad projects ranging from easy to advanced. If you want to use Visual Basic, please refer to the C# to Visual Basic page.
Tip
Also see the simpler Microsoft MakeCode Projects
| Space Invasion | Pong |
| Space Force Robot (additional hardware required) |
Snap Circuits Lift-Off (additional hardware required) |
| Marble Sorting Robot (additional hardware required) |
Sun Seeking Robot (additional hardware required) |
| Burgler Alarm | Tilt Etch A Sketch |
| Etch A Sketch | High/Low Thermometer |
| Stepper Motors (additional hardware required) |
Linear Clock (additional hardware required) |
| Electronic Dice | 3D Cube |
| Color Mixer | |
You are on the documentation website for the BrainPad. The main website is found at www.brainpad.com


Currently, the package provides two functions for plotting and analyzing bibliometric data (JIF, Journal Impact Factor, and paper percentile values) and a plot function to visualize the result of a reference publication year spectroscopy (RPYS) analysis performed in the free software 'CRExplorer' (see <http://crexplorer.net>). Further extension to more plot variants is planned.
| Version: | 0.0.3 |
| Depends: | R (≥ 3.1.2) |
| Published: | 2018-01-23 |
| Author: | Robin Haunschild [aut, cre] |
| Maintainer: | Robin Haunschild <R.Haunschild at fkf.mpg.de> |
| License: | EUPL |
| NeedsCompilation: | no |
| CRAN checks: | BibPlots results |
| Reference manual: | BibPlots.pdf |
| Package source: | BibPlots_0.0.3.tar.gz |
| Windows binaries: | r-devel: BibPlots_0.0.3.zip, r-release: BibPlots_0.0.3.zip, r-oldrel: BibPlots_0.0.3.zip |
| OS X binaries: | r-release: BibPlots_0.0.3.tgz, r-oldrel: BibPlots_0.0.3.tgz |
| Old sources: | BibPlots archive |
Please use the canonical form https://CRAN.R-project.org/package=BibPlots to link to this page.


Spinal Cord Toolbox
Quality Control
Spinal Cord Toolbox
Quality Control
{{subject_name}}
About
{% for key in links %}
{{key}}
{% for item in links[key] %}
{{item.name}}
{% endfor %}
{% endfor %}


- send(Map<String, String>, Map<String, String>, List<Cookie>) - Method in class org.henrya.httpicnic.http.HttpRequest
-
Sends the HTTP request using new headers, new parameters, and new cookies
- send() - Method in class org.henrya.httpicnic.http.HttpRequest
-
Sends the HTTP request
- send(HttpRequest) - Method in class org.henrya.httpicnic.PicnicClient
-
Sends an HTTP request using the current headers, parameters, and cookies
Any headers, parameters, or cookies added directly to the HttpRequest instance will not be used
If follow redirects is true the last HttpResponse instance will be returned
- sendRaw(Map<String, String>, String, String) - Method in class org.henrya.httpicnic.http.HttpRequest
-
Sends the HTTP request using new headers, new parameters, and new cookies
- sendRaw(String, String) - Method in class org.henrya.httpicnic.http.HttpRequest
-
Sends the HTTP request with new, unparsed parameters and cookies
- sendRaw(Map<String, String>, String, String) - Method in class org.henrya.httpicnic.requests.HttpConnect
-
Sends the HTTP CONNECT request using new headers, new parameters, and new cookies
- sendRaw(Map<String, String>, String, String) - Method in class org.henrya.httpicnic.requests.HttpDelete
-
Sends the HTTP DELETE request using new headers, new parameters, and new cookies
- sendRaw(Map<String, String>, String, String) - Method in class org.henrya.httpicnic.requests.HttpGet
-
Sends the HTTP GET request using new headers, new parameters, and new cookies
- sendRaw(Map<String, String>, String, String) - Method in class org.henrya.httpicnic.requests.HttpHead
-
Sends the HTTP HEAD request using new headers, new parameters, and new cookies
- sendRaw(Map<String, String>, String, String) - Method in class org.henrya.httpicnic.requests.HttpOptions
-
Sends the HTTP OPTIONS request using new headers, new parameters, and new cookies
- sendRaw(Map<String, String>, String, String) - Method in class org.henrya.httpicnic.requests.HttpPatch
-
Sends the HTTP PATCH request using new headers, new parameters, and new cookies
- sendRaw(Map<String, String>, String, String) - Method in class org.henrya.httpicnic.requests.HttpPost
-
Sends the HTTP POST request using new headers, new parameters, and new cookies
- sendRaw(Map<String, String>, String, String) - Method in class org.henrya.httpicnic.requests.HttpPut
-
Sends the HTTP PUT request using new headers, new parameters, and new cookies
- sendRaw(Map<String, String>, String, String) - Method in class org.henrya.httpicnic.requests.HttpTrace
-
Sends the HTTP TRACE request using new headers, new parameters, and new cookies
- sendRawCookies(String) - Method in class org.henrya.httpicnic.http.HttpRequest
-
Sends the HTTP request with new, unparsed cookies
- sendRawParams(String) - Method in class org.henrya.httpicnic.http.HttpRequest
-
Sends the HTTP request with new, unparsed parameters
- setCookies(List<Cookie>) - Method in class org.henrya.httpicnic.http.HttpRequest
-
Sets the cookies that will be sent with the request
- setCookies(List<Cookie>) - Method in class org.henrya.httpicnic.PicnicClient
-
Sets the cookies that will be sent with the request
- setFollowRedirects(boolean) - Method in class org.henrya.httpicnic.PicnicClient
-
If true the client will follow HTTP redirects (response code 3xx)
- setHeader(HttpHeader, String) - Method in class org.henrya.httpicnic.http.HttpRequest
-
Sets a header to be sent
- setHeader(String, String) - Method in class org.henrya.httpicnic.http.HttpRequest
-
Sets a header to be sent
- setHeader(HttpHeader, String) - Method in class org.henrya.httpicnic.PicnicClient
-
Sets a header to be sent in the next request
- setHeader(String, String) - Method in class org.henrya.httpicnic.PicnicClient
-
Sets a header to be sent in the next request
- setHeaders(Map<String, String>) - Method in class org.henrya.httpicnic.http.HttpRequest
-
Sets the headers that will be sent with the request
- setHeaders(Map<String, String>) - Method in class org.henrya.httpicnic.PicnicClient
-
Sets the headers that will be sent with the request
- setParameters(Map<String, String>) - Method in class org.henrya.httpicnic.http.HttpRequest
-
Sets the parameters that will be sent with the request
- setParameters(Map<String, String>) - Method in class org.henrya.httpicnic.PicnicClient
-
Sets the parameters that will be sent with the request
- setURL(String) - Method in class org.henrya.httpicnic.http.HttpRequest
-
Sets the URL that the request will be sent to
- setValue(String) - Method in class org.henrya.httpicnic.http.Cookie
-
Sets the value of the cookie


1. Title:
2. Operator Auditee:
3. Number:
4. Date:
5.Status:
6. Agreed Date for CAP(Corrective Action Plan):
7. Level:
8. Due Date:
9. Closure Date:
10. Requirement References:
11. Further References:
12. Auditor of CAA:
13. Auditee responsible for CAP:
Requirement References:
Non Conformity Details:
Add level descriptions:
Kondicioneri
Kutia e zeze
Karriket
Save as Pdf


data class Customer : StripeModel
Model for a Stripe Customer object
defaultSource |
val defaultSource: String? |
hasMore |
val hasMore: Boolean |
id |
val id: String? |
shippingInformation |
val shippingInformation: ShippingInformation? |
sources |
val sources: List<CustomerSource> |
totalCount |
val totalCount: Int? |
url |
val url: String? |
getSourceById |
fun getSourceById(sourceId: String): CustomerSource? |
fromJson |
fun fromJson(jsonObject: JSONObject): Customer? |
fromString |
fun fromString(jsonString: String?): Customer? |


How does understanding the principles of neuroplasticity benefit
people?
Neuroplasticity is the concept that the brain is malleable, it can
adopt new ideas, new habits, and learn new things over time. Neuro
refers to the neurons which are the nerves in the brain and these
have the ability to make new connections and pathways. Plasticity
refers to the idea of being malleable.
People who understand that the brain can make new connections, that
it can build new pathways, are people who will be open to the idea
that they can learn new tasks, new ideas, and achieve their goals.
Rather than being stuck in a mindeset that they are too old to
learn, or that they are not clever enough to learn something, those
people who accept neuroplasticity and the research findings will be
open to learning and improving themselves.
How can neuroplasticity benefit me?
How can neuroplasticity benefit me? Neuroplasticity can benefit
anyone and everyone. It's especially worthwhile understanding this
if you're taking on new and exciting challenges.
Positive learning environments, challenges, repetition, as well as
rest and exercise are all key factors when seeking the benefits of
neuroplasticity. Revision is important, and using the new ideas that
you've learned will help to form new connections in the brain.
A person who has a fixed mindest believes that they cannot change,
they cannot learn new things and they think that they are stuck
with the abilities they have been given. In contrast to this,
someone with a growth mindset is open to the malleableness of the
brain, and the concept that they can form new connections in the
brain, new pathways, and in doing so learn new, exciting, and
challenging concepts both mental and physical.
When leaning new things it is important to come to the challenge
with a growth mindset. The more you practise a task, and build on
the task, the better you will become at it, and you will be able
to add more and more learning on top of this.
I have found this to be true since I started learning HTML and CSS
a year ago, slowly adding in more and more, building on the
foundations I created. I think this is a key concept to becoming a
web developer or software engineer - your success depends on
having a growth mindset, on practising your skills everyday,
trying new things, and building on the foundations you have, no
matter how basic they may be.


Please select a version.
Version 1 - Straight
Version 3 - Hills
Version 2 - Curves
Version 4 - Final
Go Back


Anthony Trejo
Tony
<EMAIL_ADDRESS>Introduction
Hello everyone, I'm Anthony Trejo but everyone calls me Tony. I'm a first born in the United States and first gen college student so being here is a blessing. I have lived my whole life in Carpentersville Illinois. I've played soccer ever sense I was 5, but stopped last year due to covid cancelling the national leagues. I love cars and trucks. I currently have a 1990 chevy single cab. I have 1 brother and 2 sisters. I am the oldest so i'm a role model for them. I am a freshman majoring in computer science.
What I Hope to Learn in This Course
I hope to learn the basics of computer science so I can feel comfortable taking harder courses. This is my major so I want to be prepared. I came with no expiernce but I feel as I have learned so much within a few weeks.
Topics That Interest Me
- Cloud Computing with HTML
- Artificial Intelligence
- Networks
- Security
My Favorite Hobby
I have many hobbies but one of my favorite ones has to be late night car rides with my friends. Not in the same car, but everyone with their own ride. This helps us forget about problems we be having at home. You feel as if nothing matters it's just you and your car.  We play Friday and Saturday night sense it's the only nights we don't have school.  Lastly, I like to go play soccer with my friends or hit the gym. We usually do one or the other.
Greatest Innovation
- The internet
https://www.bartleby.com/essay/The-Internet-Is-The-Greatest-Invention-Of-PKE6GYEJFLL5
- Laptops
http://sciencetechnology24.blogspot.com/2013/10/laptop-is-great-invention-of-latest.html
- Mobile Phones
https://www.linchomestudy.ca/online/wah/article.aspx?a=940&y=2018-04-01
Fun Fact
A fun fact about me is that I'm shy but once I get comfortable around someone I won't shut up.
| Name |
School |
Major |
| Anthony Trejo |
Lewis University |
Computer Science |
Carpentersville
I'm from Carpentersville
Happy Emoji
😄


Beach Soccer World Cup: Nigeria lose second group game to Oman 6-5
by Emmanuel OkogbaBeach Soccer World Cup
Oman held off Nigeria and won 6-5 in a closely-fought encounter in Group D of the ongoing FIFA Beach Soccer World Cup.
Oman jumped into a two-goal lead thanks to Eid Al Farsi’s left-footed, curling rocket into the far corner from distance and Jalal Al Sinani’s impressive scissor kick. Emeka Ogbonna responded to the early letdown by scoring two goals and bringing the Super Sand Eagles level early in the second period.
READ ALSO: Contract extension: NFF will determine Rohr’s fate – Dare
However Oman just had too much for Nigeria as goals from Mushel Al Araimi, Al Farsi and Sami Al Bulushi had them 5-2 up at the end of the second period.
Ogbonna added another to complete his hat-trick before Adams Taiwo scored with a low drive into the bottom corner to bring the Super Sand Eagles back to within one. Oman captain Khalid Al Oraimi scored once again to build a two-goal cushion before Godspower Igudia finished off a well-worked team move to score for Nigeria. However it wasn’t enough and Oman were the ones letting out a sigh of relief and putting three crucial points on the board in Group D.
Source: FIFA


Before Change
trials = self._backend.get_all_trials(study_id, deepcopy=False)
if study_id in self._studies:
for key, trial in self._studies[study_id].trials.items():
trials[trial.number] = trial
return copy.deepcopy(trials) if deepcopy else trials
def get_n_trials(self, study_id: int, state: Optional[TrialState] = None) -> int:
After Change
self._studies[study_id] = _StudyInfo()
study = self._studies[study_id]
trials = self._backend._get_uncached_trials(study_id, study.cached_trial_ids)
if trials:
self._add_trials_to_cache(study_id, trials)
for trial in trials:
if trial.state.is_finished():
study.cached_trial_ids.add(trial._trial_id)
return copy.deepcopy(study.trials) if deepcopy else study.trials[:]
def get_n_trials(self, study_id: int, state: Optional[TrialState] = None) -> int:


Online Character Map
Search Characters on the go!!!
Keyword
Character
Found {{filteredItems.length}} results for '{{searchtext}}'
{{item.code | codeToString}}
{{keyword}}
Online Character Map
by
Melwin Amith D'Almeida
.


PyClaw output¶
PyClaw supports options to output more than just the solution \(q\). It can provide:
- Output of derived quantities computed from \(q\); for instance, pressure (not a conserved quantity) could be computed from density and energy.
- Output of scalar functionals, such as the total mass summed over the whole grid.
- Output of gauge values, which are time traces of the solution at a single point.
Derived quantities and functionals are written out at the same times that the solution \(q\) is written. While these could be computed in postprocessing, it is more efficient to compute them at run-time for large parallel runs.
Gauge output is written at every timestep. In order to get this data without a gauge, one would otherwise have to write the full solution out at every timestep, which might be very slow.
Outputting derived quantities¶
It is sometimes desirable to output quantities other than those in the vector q. To do so, just add a function p_function to the controller that accepts the state and sets the derived quantities in state.p
>>> def stress(state):
... state.p[0,:,:] = np.exp(state.q[0,:,:]*state.aux[1,:,:]) - 1.
>>> state.mp = 1
>>> claw.p_function = stress
Outputting functionals¶
In PyClaw a functional is a scalar quantity computed from \(q\) that is written to file at each output time. For now, only functionals of the form
are supported. In other words, the functional must be the absolute integral of some function of \(q\). To enable writing functionals, simply set state.mf to the number of functionals and point the controller to a function that computes \(f(q)\)
>>> def compute_f(state):
... state.F[0,:,:] = state.q[0,:,:]*state.q[1,:,:]
>>> state.mf = 1
Using gauges¶
A gauge in PyClaw is a single grid location for which output is written at every time step. This can be very useful in some applications, like comparing with data from tidal gauges (from whence the name is derived) in tsunami modeling. The gauges are managed by the grid object, and a grid at location \((x,y)\) may be added simply by calling grid.add_gauges((x,y)). Multiple gauges can be set at once by providing a list of coordinate tuples
>>> state.grid.add_gauges([(x1,y1),(x2,y2),(x3,y3)])
By default, the solution values are written out at each gauge location. To write some other quantity, simply provide a function \(f(q,aux)\) and point the solver to it
>>> def f(q,aux):
... return q[1,:,:]/q[0,:,:]
>>> solver.compute_gauge_values = f
Logging¶
By default, PyClaw prints a message to the screen each time it writes an output file. This message is also writing to the file pyclaw.log in the working directory. There are additional warning or error messages that may be sent to the screen or to file. You can adjust the logger levels in order to turn these messages off or to get more detailed debugging information.
The controller provides one means to managing the logging with the verbosity parameter and is provided as an easy interace to control the console output (that which is shown on screen). Valid values for verbosity are:
When running on a supercomputer, logging to file can be problematic because the associated I/O can slow down the entire computation (this is true on Shaheen). To turn off all logging (both to screen and to file), you need to change the level of the root logger:
import logging
logger = logging.getLogger('pyclaw')
logger.setLevel(logging.CRITICAL)
Again since we don’t use CRITICAL logger messages in PyClaw, this has the effect of turning the loggers off.


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Upload an image to test the AI crater recognition.
The detected results will be shown in a table below.
Now click upload to upload your image......
You can also pick an individual result and draw this on your image
| Id | Probability | Left | Top | Width | Height | Options |
|---|


| W/L | Fighter | Str | Td | Sub | Pass | Weight class | Method | Round | Time |
|---|---|---|---|---|---|---|---|---|---|
|
|
39 27 |
1 1 |
0 0 |
0 1 |
Light Heavyweight |
U-DEC
|
3 |
5:00 |
|
|
|
55 38 |
1 0 |
0 1 |
0 0 |
Welterweight |
U-DEC
|
3 |
5:00 |
|
|
|
29 11 |
3 0 |
1 0 |
0 6 |
Middleweight |
KO/TKO Punches |
2 |
4:24 |
|
|
|
45 19 |
0 1 |
3 3 |
2 2 |
Welterweight |
KO/TKO Punches |
3 |
2:27 |
|
|
|
59 15 |
0 0 |
0 0 |
0 0 |
Lightweight |
KO/TKO
|
2 |
4:38 |
|
|
|
80 5 |
5 0 |
0 1 |
3 0 |
Welterweight |
U-DEC
|
3 |
5:00 |
|
|
|
17 11 |
0 1 |
1 0 |
0 0 |
Lightweight |
SUB Guillotine Choke |
2 |
1:24 |
|
|
|
46 28 |
0 4 |
1 0 |
4 1 |
Welterweight |
KO/TKO Punches |
3 |
3:53 |
|
|
|
38 12 |
0 1 |
0 0 |
0 1 |
Lightweight |
KO/TKO Punches |
2 |
2:53 |
|
|
|
6 6 |
0 0 |
0 0 |
0 0 |
Light Heavyweight |
KO/TKO Punch |
1 |
0:41 |
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|
|
14 11 |
0 0 |
0 0 |
0 0 |
Lightweight |
KO/TKO Punch |
1 |
3:22 |


Reddit Image Browser (RIB) is an image browser for Reddit (duh) built completely with JavaScript. It lets you browse through the frontpage posts on image subreddits like an image album, complete with keyboard navigation and infinite autoloading.2 Technically it works fine with self, link, and video posts but I created it primarily to rapidly and lazily browse images.
How do I use RIB?
Just keep pressing j on your keyboard. Press o to choose different subreddits or add your own.
Why JavaScript?
JavaScript is awesome. Actually, the main reason is that JavaScript runs completely in your browser. Being a poor college student, I cannot afford running anything on the server side, which means no Rails or databases. All interactions with Reddit's API used by RIB are performed by your browser.
Why can't I upvote links or post comments?
Unfortunately, the limitations imposed by same origin policy and JSONP prevents me from using any API functions requiring user authentication. That's what I get for being cheap.
How are you saving my subreddit selection?
HTML 5 Local Storage. It's like cookies, but better!
I want to request a feature!
You can drop me an email via my blog. I will send you a polite reply.3
Things are broken!
See above.
Can I help to fix something?
Submit a patch to the Github repository.
Which JavaScript libraries did you use?
jQuery, D3.js, and Underscore.js. It's overkill for the present task, but I chose D3.js because I had some ideas on doing visualizations like treemaps using the image posts from Reddit. I do intend to get to that someday.4
Where did you get those icons?
Most of the icons used in RIB came from the Modern Pictograms dingbat font by John Caserta. The rest came from the unicode charset.
- 1. No one asked these questions. Ever.
- 2. Infinite until your RAM explodes from the inefficient object array I used.
- 3. Reply may take up to 10 business days.
- 4. Sometime between now and the heat death of the universe.


Download Images
These are beautiful, peaceful moments in nature
The colors really contrast with eachother


[ Changes in leucocytic estrogen receptor levels in patients with climacteric syndrome and therapeutic effect of liuwei dihuang pills] The numbers of estrogen receptor (ER) in human peripheral leucocytes in 22 women with climacteric syndrome were measured by radioligand method.
Abstract
The results were compared with those of 12 normal child-bearing-age women. It wat found that the contents of leucocytic ER in climacteric syndrome patients were significantly lower than normal child-bearing-age women. The authors used a Chinese prescription -- Liuwei Dihuang Pills (LDP) to treat the patients for 2 months. The numbers of leucocytic ER were significantly increased after treatment. The data indicate that decrease of ER levels in cell may involve in the pathogenesis of climacteric syndrome. LDP not only increases plasma estradiol levels, but also increases the leucocytic ER levels. This may be the basis of the therapeutic effect on the disease.


ABAP Quick Fixes - Omit RECEIVING in Method Call
If you have addition RECEIVING in the method call, then you easily replace it to have direct assignment instead.


The first graph compares engagement values (number of retweets or favorites) per tweet across multiple candidates.
Notes:
The second graph attempts to visualize change in data across time using moving averages. Similarly to our first viz, this graph tries to give a sense of the differences in engagement across different candidates.
Notes:
As opposed to the first couple of graphs, the "Day & Time" graph presents data on each individual candidate's engagement metrics rather than comparing candidates to each other. Here users may try to see whether metrics differ across hours of the day in which tweets were published or even across days of the week.
Notes:
While single-metric data points such as "average" are very presentable, it's impossible to know the full story of the data using just this piece of information. A histogram is able to show the full shape of the data distribution in a much more telling manner. This graph collects all the tweets for the selected filters without differentiating for candidates and displays how often tweets receive certain metrics.
Notes:
The box plot achieves the same kind of goal as the histogram, displaying the distribution of data, but here we can compare distributions across candidates as an individual box plot is displayed per candidate.
Notes:
A simpler display of information, top tweets help us see what "kind" of tweets receive top attention for each candidate rather than just raw numbers.
Notes:


Transitions are the mathematical algorithms inside the Spry Effects library that are used to compute the path between a starting value and the end value of an effect.
A transition function has a different effect on each effect's smoothness and perception. An effect may look nice using a certain transition while using the same algorithm with another effect may have a different perception. For instance, a bouncing transition is good for moving panels, but might not be right for changing colors.
To move from the beginning to the end, the simplest and shortest path is a linear transition. Transitions are time-dependent functions. This means that a transition always takes the same amount of time. Therefore, a transition is faster if it has to go farther, growing for instance.
Transition functions return the current position of the value at any given time between the starting and the ending values.
All the effects in the Spry framework are designed to receive transition functions as parameters. Spry includes eight transition functions:
Spry.linearTransition
Spry.sinusoidalTransition
Spry.squareTransition
Spry.squarerootTransition
Spry.fifthTransition
Spry.circleTransition
Spry.pulsateTransition
Spry.growSpecificTransition
The mathematical transition algorithms are difficult to describe verbally. Consult the Transitions samples page to see how these transitions work with Spry effects. The graph on the samples page gives a visual representation of the transition.


Blocks, procs, and Lambdas. Yikes. That's a moutful. Almost sounds like magical incantations. Digging a little deeper can take some of the mystery out of them, though. By the way, I'm hungry for toast, so humor me in my examples today.
Let's start at the very beginning with blocks. Blocks are literally blocks of code that almost every Ruby programmer uses, particularly when iterating over a member of the Collection class, like Arrays or Hashes. Let's make ourselves a 2d array to play with and see what fun we turn out. Since we're going with a toast theme, we'll make an array that mimics a loaf of bread, labelling each piece of bread with it's "bread status" and level-of-doneness. Observe:
loaf_of_bread = [ ["bread", "uncooked"], ["bread", "uncooked"], ["bread", "uncooked"] ]
Small loaf, I know. But the array is not the point here! Onto the actual point, blocks! A block is a group of one or more method calls or code that is inserted in another method as a parameter. As I mentioned earlier, they're particularly useful when dealing with arrays since you can act on each element in the array with whatever code you can dream up easily with a single iteration. In our toast example, we can insert each piece of bread in an object Toaster with the following code:
toaster = Toaster.new
loaf_of_bread.each { |b| toaster.insert(b) }
The block in this code snippet is the "toaster.insert(b)" part. (This of course assumes our toaster can accept an array describing the piece of bread in it's insert method!) The block is inserted as a parameter in each call and is executed for each element b of our array, loaf_of_bread.
Now imagine if we could store that block in a variable and call it up anytime we needed it without having to type it all out. It might not be such a big deal for such a short method call, but it can come in handy for longer calls. Well, boys and girls, we can! And those are what we call Procs, short for procedures.
If we have a method from our toaster class called "cook," that'll change the level-of-doneness for our bread, (I told you that hash would come into play later!) we can practice using our procs by instantiating it with the following code:
cook = Proc.new {|b| toaster.cook(b) }
First, we're setting up the proc with a variable inside the bars (and it turns out you can get really fancy by entering plenty of variables in various ways, but for the sake of simplicity we're sticking to one here.) Then, we tell the proc what action it should take on the variable it accepts. To call the proc, we do the following:
loaf_of-bread.each do |b|
cook.call(b)
end
In this example, we have both a block and a proc, inside our block! The block is the method call that is entered as the parameter in our call to the array's each. The proc is the "cook.call(b)" method that has "toaster.cook(b)" stored in it. Assuming cook raises our level of doneness up one in our loaf_of_bread hash and updates the bread status, we can assume our loaf_of_bread array now looks like this:
loaf_of_bread.to_s
[ ["toast", "lightly toasted"], ["toast", "lightly toasted"], ["toast", "lightly toasted"] ]
Mmm... it's almost done! But we need to move onto our next point: lambdas. Lambdas are actually very similar to procs, except they're a lot pickier about the number of arguments they accept. For our proc, if we had defined further variables that it could accept but failed to provide them, the proc would automatically fill in the blanks for you with nil objects. How considerate! Lambdas, though, are cranky old men who will complain if you don't provide the exact number of parameters they're expecting. The biggest way that lambdas differ from procs, though, is how they handle returns. Onto the next example!
 This can be demonstrated when dealing with return statements. Watch what happens when we include a return in a proc:
cook_more = Proc.new{ |b| return toaster.cook(b) }
In this example, we're assuming toaster.cook returns something, say the new state of the bread and it's level of doneness. When we put it in a block, like this:
loaf_of_bread.each do |b|
cook_more.call(b)
puts "This toast is delicious! It'd be shame to cook it any more!"
return toaster.cook(b)
end
Fortunately, assuming the sub-array is returned in the first call, we get this:
["toast", "golden perfection"]
What's going on that our level-of-doneness only advanced one level, even though we called cook twice, once through our proc and another time through the block? Well, our proc returned the first element, therefore exiting the method, as if it were a piece of the method itself. Anything written after the proc will not be executed, saving the toast. Using the lambda, however...
cook_more = lambda { |b| return toaster.cook(b) }
Let's see what our block does now that cook_more is a lambda and not a proc:
loaf_of_bread.each do |b| cook_more.call(b) return toaster.cook(b) end
And we get....
["useless lump of charcoal", "burnt to hell"]
Goshdarnit lambda! Every %^&$%$ time! *sigh* Who's up for bagels?


A heatmap of poverty rate to explore correlations between hubway station location and the status of their surrounding communities
Darker: Higher poverty rate
Source on GitHub


Home
NBA
NFL
MLB
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Haitians in Sports
Recognizing Athletes From Haiti or of Haitian Descent
Naomi Osaka, a professional tennis player, who represents Japan. Recently won the US Open.
Jason Pierre-Paul, defensive End for the Tampa Bay Buccaneers.
Blake Griffin, a power forward for the Detroit Pistons.
Jozy Altidore,a forward for Toronto FC.
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Next


-
QuaRel: A Dataset and Models for Answering Questions about Qualitative Relationships
Oyvind Tafjord, Peter Clark, Matt Gardner, Wen-tau Yih, Ashish Sabharwal.
AAAI 2019
-
AllenNLP: A Deep Semantic Natural Language Processing Platform
Matt Gardner, Joel Grus, Mark Neumann, Oyvind Tafjord, Pradeep Dasigi, Nelson F. Liu, Matthew E. Peters, Michael Schmitz, Luke S. Zettlemoyer.
NLP-OSS@ACL 2018
-
Deep contextualized word representations
Matthew E. Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, Luke S. Zettlemoyer.
NAACL 2018.
Best Paper Award
-
Structured Alignment Networks for Matching Sentences
Yang Liu, Matt Gardner, Mirella Lapata.
EMNLP 2018
-
Simple and Effective Multi-Paragraph Reading Comprehension
Christopher Clark, Matt Gardner.
ACL 2018
-
Crowdsourcing Multiple Choice Science Questions
Johannes Welbl, Nelson Liu, Matt Gardner.
NUT@EMNLP 2017
-
Neural Semantic Parsing with Type Constraints for Semi-Structured Tables
Jayant Krishnamurthy, Pradeep Dasigi, Matt Gardner.
EMNLP 2017
-
Open-Vocabulary Semantic Parsing with both Distributional Statistics and Formal Knowledge.
Matt Gardner, Jayant Krishnamurthy .
AAAI 2017
-
Never Ending Learning
T. Mitchell, W. Cohen, E. Hruschka, P. Talukdar, J. Betteridge, A. Carlson, B. Dalvi, M. Gardner, B. Kisiel, J.
Krishnamurthy, N. Lao, K. Mazaitis, T. Mohamed, N. Nakashole, E. Platanios, A. Ritter, M. Samadi, B. Settles, R. Wang,
D. Wijaya, A. Gupta, X. Chen, A. Saparov, M. Greaves, J. Welling.
AAAI 2015
-
Efficient and Expressive Knowledge Base Completion Using Subgraph Feature Extraction.
Matt Gardner and Tom M. Mitchell.
EMNLP 2015
-
Translation Invariant Word Embeddings
Kejun Huang, Matt Gardner, Evangelos E. Papalexakis, Christos Faloutsos, Nikos D. Sidiropoulos, Tom M. Mitchell,
Partha Pratim Talukdar, Xiao Fu.
EMNLP 2015
-
Incorporating Vector Space Similarity in Random Walk Inference over Knowledge Bases
Matt Gardner, Partha Pratim Talukdar, Jayant Krishnamurthy, Tom M. Mitchell.
EMNLP 2014
-
Combining Vector Space Embeddings with Symbolic Logical Inference over Open-Domain Text
Matt Gardner, Partha Talukdar, Tom M. Mitchell.
AAAI Spring Symposium, 2014
-
Improving Learning and Inference in a Large Knowledge-Base using Latent Syntactic Cues
Matt Gardner, Partha Pratim Talukdar, Bryan Kisiel, Tom M. Mitchell.
EMNLP 2013
-
A speculative approach to parallelization in particle swarm optimization
Matt Gardner, Andrew W. McNabb, Kevin D. Seppi.
Swarm Intelligence, 2012
-
Speculative Evaluation in Particle Swarm Optimization
Matt Gardner, Andrew W. McNabb, Kevin D. Seppi.
PPSN 2010
-
An exploration of topologies and communication in large particle swarms
Andrew W. McNabb, Matt Gardner, Kevin D. Seppi.
CEC 2009