Semi-diffusive Approach Walkthrough¶
Using the SBML file constructed as in CellDesigner Walkthrough, we will proceed by completing a more in-depth
explanation of running the semi-diffusive approach of [OMYS17]. This tutorial will use the SBML file
Fig1Cii.xml
. The following code will
import crnt4sbml and the SBML file. For a little more detail on this process consider Low Deficiency Approach.
import crnt4sbml
network = crnt4sbml.CRNT("/path/to/Fig1Cii.xml")
If we then want to conduct the semi-diffusive approach of [OMYS17], we must first initialize the semi_diffusive_approach, which is done as follows:
approach = network.get_semi_diffusive_approach()
This command creates all the necessary information to construct the optimization problem to be solved. Unlike the mass conservation approach, there should be no output provided by this initialization. Note that if a boundary species is not provided or there are conservation laws present, then the semi-diffusive approach will not be able to be ran. If conservation laws are found, then the mass conservation approach should be ran.
As in the mass conservation approach, it is very important to view the decision vector constructed for the optimization routine. In the semi-diffusive approach, the decision vector produced is in terms of the fluxes of the reactions. To make the decision vector more clear, the following command will print out the decision vector and also the corresponding reaction labels.
approach.print_decision_vector()
This provides the following output:
Decision vector for optimization:
[v_2, v_3, v_4, v_5, v_6, v_7, v_9, v_11, v_13, v_15, v_17, v_18]
Reaction labels for decision vector:
['re1r', 're3', 're3r', 're6', 're6r', 're2', 're8', 're17r', 're18r', 're19r', 're21', 're22']
As in the mass conservation approach, if your are using an SBML file you created yourself, the output may differ. If you would like an explicit list of the decision vector you can use the following command:
print(approach.get_decision_vector())
Using the decision vector as a reference, we can now provide the bounds for the optimization routine. As creating these bounds is not initially apparent to novice users or may become cumbersome, we have created a function call that will automatically generate physiological bounds based on the C-graph. To use this functionality one can add the following code:
bounds = approach.get_optimization_bounds()
This provides the following values:
bounds = [(0, 55), (0, 55), (0, 55), (0, 55), (0, 55), (0, 55), (0, 55), (0, 55), (0, 55), (0, 55), (0, 55), (0, 55)]
For more information and the correctness on these bounds please refer to Creating Physiological Bounds. An important check that should be completed for the semi-diffusive approach is to verify that that the key species, non key species, and boundary species are correct. This can be done after initializing the semi-diffusive approach as follows:
print(approach.get_key_species())
print(approach.get_non_key_species())
print(approach.get_boundary_species())
This provides the following results for our example:
['s1', 's2', 's7']
['s3', 's6', 's8', 's11']
['s21']
Using this information, we can now run the optimization in a similar manner to the mass conservation approach. First we will
initialize some variables for demonstration purposes. In practice, the user should only need to define the bounds and
number of iterations to run the optimization routine. For more information on the defaults of the optimization routine,
see crnt4sbml.SemiDiffusiveApproach.run_optimization()
.
import numpy
num_itr = 100
sys_min = numpy.finfo(float).eps
sd = 0
prnt_flg = False
num_dtype = numpy.float64
We now run the optimization routine for the semi-diffusive approach:
params_for_global_min, obj_fun_val_for_params = approach.run_optimization(bounds=bounds, iterations=num_itr, seed=sd,
print_flag=prnt_flg, numpy_dtype=num_dtype,
sys_min_val=sys_min)
The following is the output obtained by the constructed model:
Running feasible point method for 100 iterations ...
Elapsed time for feasible point method: 1.542820930480957
Running the multistart optimization method ...
Elapsed time for multistart method:<PHONE_NUMBER>353302
For a detailed description of the optimization routine see Numerical Optimization Routine. At this point it may also be helpful to generate a report on the optimization routine that provides more information. To do this execute the following command:
approach.generate_report()
This provides the following output:
Smallest value achieved by objective function: 0.0
76 point(s) passed the optimization criteria.
The first line tells the user the smallest value that was achieved after all of the iterations have been completed. The next line tells one the number of feasible points that produce an objective function value smaller than sys_min_val that also pass all of the constraints of the optimization problem. Given the optimization may take a long time to complete, it may be important to save the parameters produced by the optimization. This can be done as follows:
numpy.save('params.npy', params_for_global_min)
this saves the list of numpy arrays representing the parameters into the npy file params. The user can then load these values at a later time by using the following command:
params_for_global_min = numpy.load('params.npy')
Similar to the mass conservation approach, we can run numerical continuation for the semi-diffusive approach. Note that the principal continuation parameter (PCP) now corresponds to a reaction rather than a constant as in the mass conservation approach. However, the actual continuation will be performed with respect to the flux of the reaction. The y-axis of the continuation can then be set by defining the species, here we choose the species s7. For the semi-diffusive network we conduct the numerical continuation for the semi-diffusive approach as follows:
multistable_param_ind, plot_specifications = approach.run_continuity_analysis(species='s7', parameters=params_for_global_min,
auto_parameters={'PrincipalContinuationParameter': 're17',
'RL0': 0.1, 'RL1': 100, 'A0': 0.0,
'A1': 10000})
In addition to putting the multistability plots found into the folder num_cont_graphs, this routine will also return the indices of params_for_global_min that correspond to these plots named “multistable_param_ind” above. Along with these indices, the routine will also return the plot specifications for each element in “multistable_param_ind” that specify the range used for the x-axis, y-axis, and the x-y values for each special point in the plot (named “plot_specifications” above). Also note that if multistability plots are produced, the plot names will have the following form: PCP_species id_index of params_for_global.png. For more information on the AUTO parameters provided and the continuation routine itself, refer to Numerical Continuation Routine. This provides the following output:
Running continuity analysis ...
Elapsed time for continuity analysis in seconds:<PHONE_NUMBER>1053162
Again we can generate a report that will contain the numerical optimization routine output and the now added information provided by the numerical continuation run:
approach.generate_report()
This provides the following output:
Smallest value achieved by objective function: 0.0
76 point(s) passed the optimization criteria.
Number of multistability plots found: 56
Elements in params_for_global_min that produce multistability:
[2, 3, 4, 5, 6, 9, 10, 12, 13, 14, 16, 17, 18, 19, 20, 21, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 35, 36, 37, 38,
39, 40, 41, 42, 43, 44, 46, 47, 48, 49, 50, 51, 52, 53, 55, 56, 57, 58, 62, 63, 64, 68, 69, 70, 71, 75]
Similar to the mass conservation approach, we obtain multistability plots in the directory provided by the dir_path option in run_continuity_analysis (here it is the default value), where the plots follow the following format PCP (in terms of p as in the theory) _species id_index of params_for_global.png. The following is one multistability plot produced.
In addition to providing this more hands on approach to the numerical continuation routine, we also provide a greedy version of the numerical continuation routine. With this approach the user just needs to provide the species, parameters, and PCP. This routine does not guarantee that all multistability plots will be found, but it does provide a good place to start finding multistability plots. Once the greedy routine is ran, it is usually best to return to the more hands on approach described above. Note that as stated by the name, this approach is computationally greedy and will take a longer time than the more hands on approach. Below is the code used to run the greedy numerical continuation:
multistable_param_ind, plot_specifications = approach.run_greedy_continuity_analysis(species="s7", parameters=params_for_global_min,
auto_parameters={'PrincipalContinuationParameter': 're17'})
approach.generate_report()
This provides the following output:
Running continuity analysis ...
Elapsed time for continuity analysis in seconds:<PHONE_NUMBER>285461
Smallest value achieved by objective function: 0.0
76 point(s) passed the optimization criteria.
Number of multistability plots found: 73
Elements in params_for_global_min that produce multistability:
[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32,
33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60,
61, 62, 63, 64, 65, 67, 68, 69, 70, 71, 72, 73, 74, 75]
Note that some of these plots will be jagged or have missing sections in the plot. To produce better plots the hands on approach should be used.
For more examples of running the semi-diffusive approach please see Further Examples.


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MetaFrame
Server-based software for Microsoft's Windows
2000, MetaFrame extends Windows Terminal Services with added
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Sage |
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MAS 90
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Hello World!
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There are a few routes you can try. Here are some links:
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Compute the N-CA-C tube. The tube selects the atoms marked CA but pass only through the ones placed between a N and a C atoms.
| molecule | MolecularDataType | Molecular data. |
| Points added | slider | Points added between two CA intersection nodes. |
| Smoothness | slider | "Tension" parameter of the interpolating spline: a value of 0 creates stright tube segment between nodes; 1 is the normal value and more accentuate curvature. |
| Tube scale | slider | Radius of the tube. |
| Tube facets | slider | Number of sides composing the tube wall. |
| fld | Mesh | The tube itself. |
| obj | DefaultObject | The renderable version of fld. |


One dead, two injured in Matugga accident
by Wasswa SsentongoAccording to Bukenya Wasswa, a resident, the vehicle rolled several times and hit an electricity pole.
ACCIDENT
WAKISO - One person has died and two others injured in a fatal accident that occurred at Matugga, along Gulu highway.
This accident happened on Friday when a vehicle, registration number UBB 032W lost control.
According to Bukenya Wasswa, a resident, the vehicle rolled several times and hit an electricity pole.
He blamed the accident on speeding and drunk driving because they found empty beer and waragi bottles.
Kampala Metropolitan Police Spokesperson, Luke Owoyesigyire confirmed that the two are in critical condition and appealed to drivers to stop speeding and driving while drunk.
The deceased and injured were not identified by press time.
The car wreckage was towed to Matugga police station.


| Class and Description |
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| LXArtNetPollReplyInfo
LXArtNetPollReplyInfo
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| LXArtNetPollReplyListener
LXArtNetPollReplyListener
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| LXDMXEthernet
LXDMXEthernet
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| LXDMXInterface
LXDMXInterface
Abstract class representing an interface capable of reading and writing dmx
contained in a serial or network packet.
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| LXDNSReplyRecord
LXmDNSReplyRecord holds a Reply Record Data structure
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LXDMXENTTEC.java
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| LXJSONElement
LXJSONElement is a class that holds an element of a JSON object tree.
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LXmDNSDelegate is an interface for searching for devices using multicast DNS
Classes implementing LXmDNSDelegate receive a receivedResponse() call when
LXmDNSDiscoverer receives a mDNS packet with a matching qualified domain name.
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| LXmDNSDiscoverer
LXmDNSDiscoverer is a class for implementing mDNS discovery of devices
on a local network.
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| LXOSC
LXOSC
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| LXOSCArgument
LXOSCArgument
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LXOSCMessage
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LXPRadioButton is a member of a LXPRadioGroup
it highlights when it is moused over
when clicked, it requests the RadioGroup select its station
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LXPRadioGroup is a controller for a group of RadioButtons
only a single station (button) can be selected at a time
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LXPTextField is a member of a LXPTextGroup
it highlights when the cursor hovers over it
When clicked, it requests the LXPTextGroup select its station to receive keyPressed messages
Other key presses are added to the fields value string which is displayed,
up to the fields maximum number of characters.
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| LXPTextGroup
LXPTextGroup is a controller for a group of LXPTextFields
only a single field can have focus and receive keyPressed messages
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| LXUPnPDelegate
LXUPnPDelegate is an interface for implementing Universal Plug and Play discovery.
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| LXUPnPDiscoverer
LXUPnPDiscoverer is a class for implementing Universal Plug and Play discovery.
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PLATFORMER_BERRY_NINJA
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#include <SDL.h>
Go to the source code of this file.
Classes | |
| class | Component |
| This class represents the base Component class. More... | |
Enumerations | |
| enum | ComponentType { TRANSFORM, SPRITE, INPUT, TILE_MAP, COLLIDER, CAMERA, AI, SCORE, LIVES, GAME_RESULT } |
| This enum contains various types of components that can be attached to a game object. More... | |
| enum | ComponentCardinality { SINGLE, MULTIPLE } |
| This enum represents cardinality of a Component. More... | |
| enum ComponentCardinality |
This enum represents cardinality of a Component.
| Enumerator | |
|---|---|
| SINGLE | Only a single component of the type can be attached to a game object |
| MULTIPLE | Multiple components of this type can be attached to a game object |
| enum ComponentType |
This enum contains various types of components that can be attached to a game object.
| Enumerator | |
|---|---|
| TRANSFORM | This component is responsible for giving position in a 2D space to a game object. |
| SPRITE | This component is responsible for adding a sprite to a game object. |
| INPUT | This component if attached, allows user input to control the associated game object. |
| TILE_MAP | This component is responsible for giving position in a 2D space to a game object |
| COLLIDER | This component is responsible for making an object collidable. |
| CAMERA | This component attaches a camera to a game object which follows the object. |
| AI | This component allows game objects to move autonomously. |
| SCORE | This component is responsible for keeping track of score in the game. |
| LIVES | This component when attached, associates life to a game object. |
| GAME_RESULT | This component is responsible for checking game result based on PlayerObject. |


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Welcome to MindTrails
In this study, we are going to focus on the way you think, and how that may affect your anxiety. Specifically, we will focus on the way you interpret everyday events.
It’s not always clear why anxiety persists over time, but one reason appears to be the way people think about the things they are anxious about.
For example:- People may think they are more likely to be negatively judged by others than they actually are.
- People may think that they will not be able to cope with being in scary situations.
Past studies have shown that changing the way we think can affect our anxiety. In fact, studies have shown that practice thinking about things in new ways may reduce anxiety symptoms.
In our MindTrails program, you will complete an online training that will describe different situations and encourage you to think about how those situations will turn out. This program is new but is based on similar programs that have shown positive effects in changing anxious thinking.
We have people trying different versions of the computer program for this study to see which version works best – we think some of these computer programs will reduce anxiety by changing the way people interpret situations.


tk/getsavefile |
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pop up a dialog box for the user to select a file to open or save.
The tk/getopenfile command is usually associated with the Open command in the File menu. Its purpose is for the user to select an existing file only. If the user enters an non-existent file, the dialog box gives the user an error prompt and requires the user to give an alternative selection. If an application allows the user to create new files, it should do so by providing a separate New menu command. The tk/getsavefile command is usually associated with the Save as command in the File menu. If the user enters a file that already exists, the dialog box prompts the user for confirmation whether the existing file should be overwritten or not. The following option-value pairs are possible as command line arguments to these two commands:
If the user selects a file, both tk/getopenfile and tk/getsavefile return the full pathname of this file. If the user cancels the operation, both commands return the empty string. Specifying File PatternsThe filePatternList value given by the #:filetypes option is a list of file patterns. Each file pattern is a list of the form typeName (extension ?extension ...?) ?(macType ?macType ...?)? typeName is the name of the file type described by this file pattern and is the text string that appears in the File types listbox. extension is a file extension for this file pattern. macType is a four-character Macintosh file type. The list of macTypes is optional and may be omitted for applications that do not need to execute on the Macintosh platform. Several file patterns may have the same typeName, in which case they refer to the same file type and share the same entry in the listbox. When the user selects an entry in the listbox, all the files that match at least one of the file patterns corresponding to that entry are listed. Usually, each file pattern corresponds to a distinct type of file. The use of more than one file patterns for one type of file is necessary on the Macintosh platform only. On the Macintosh platform, a file matches a file pattern if its name matches at least one of the extension(s) AND it belongs to at least one of the macType(s) of the file pattern. For example, the C Source Files file pattern in the sample code matches with files that have a .c extension AND belong to the macType TEXT. To use the OR rule instead, you can use two file patterns, one with the extensions only and the other with the macType only. The GIF Files file type in the sample code matches files that EITHER have a .gif extension OR belong to the macType GIFF. On the Unix and Windows platforms, a file matches a file pattern if its name matches at at least one of the extension(s) of the file pattern. The macTypes are ignored. Specifying ExtensionsOn the Unix and Macintosh platforms, extensions are matched using glob-style pattern matching. On the Windows platforms, extensions are matched by the underlying operating system. The types of possible extensions are: (1) the special extension * matches any file; (2) the special extension "" matches any files that do not have an extension (i.e., the filename contains no full stop character); (3) any character string that does not contain any wild card characters (* and ?). Due to the different pattern matching rules on the various platforms, to ensure portability, wild card characters are not allowed in the extensions, except as in the special extension *. Extensions without a full stop character (e.g, ~) are allowed but may not work on all platforms. Example: (define filename "") (set! filename (let ((types '(((Text Files) (.txt) ) ((TCL Scripts) (.tcl) ) ((C Source Files) (.c) TEXT) ((GIF Files) (.gif) ) ((ALL Files) * )))) (tk/getopenfile #:filetypes types))) Note: This example is not intended to demonstrate good Scheme-programming style. Corresponding Tcl/Tk commands: tk_getOpenFile ... tk_getSaveFile ... |


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This is all that comes up in the console after a page reload. I can go into the addons page and disable then reenable the app and it will work, just not after a browser restart.
[09:11] Surface logging enabled @
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[09:11] Duplicate Surface: A Surface with id base-dropdown-menu-your-platoons_2832655241030089097 was rendered more than once, old state will be overwritten @
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2
A Vision of a Man with a Measuring Line
1 And I lifted my eyes and saw, and behold, a man with a measuring line in his hand!
2 Then I said, “Where are you going?” And he said to me, “To measure Jerusalem, to see what is its width and what is its length.”
3 And behold, the angel who talked with me came forward, and another angel came forward to meet him
4 and said to him, “Run, say to that young man, ‘Jerusalem shall be inhabited as villages without walls, because of the multitude of people and livestock in it.
5 And I will be to her a wall of fire all around, declares the LORD, and I will be the glory in her midst.’ ”
6 Up! Up! Flee from the land of the north, declares the LORD. For I have spread you abroad as the four winds of the heavens, declares the LORD.
7 Up! Escape to Zion, you who dwell with the daughter of Babylon.
8 For thus said the LORD of hosts, after his glory sent me to the nations who plundered you, for he who touches you touches the apple of his eye:
9 “Behold, I will shake my hand over them, and they shall become plunder for those who served them. Then you will know that the LORD of hosts has sent me.
10 Sing and rejoice, O daughter of Zion, for behold, I come and I will dwell in your midst, declares the LORD.
11 And many nations shall join themselves to the LORD in that day, and shall be my people. And I will dwell in your midst, and you shall know that the LORD of hosts has sent me to you.
12 And the LORD will inherit Judah as his portion in the holy land, and will again choose Jerusalem.”
13 Be silent, all flesh, before the LORD, for he has roused himself from his holy dwelling.


Data
ParaBank v1.0 Full (~9 GB) (zip), ParaBank v1.0 Large, 50m pairs (~3 GB) (zip),ParaBank v1.0 Small Diverse, 5m pairs (zip),ParaBank v1.0 Large Diverse, 50m pairs (zip)
About
We present ParaBank, a large-scale English paraphrase dataset that surpasses prior work in both quantity and quality. Following the approach of ParaNMT, we train a Czech-English neural machine translation (NMT) system to generate novel paraphrases of English reference sentences. By adding lexical constraints to the NMT decoding procedure, however, we are able to produce multiple high-quality sentential paraphrases per source sentence, yielding an English paraphrase resource with more than 4 billion generated tokens and exhibiting greater lexical diversity. Using human judgments, we also demonstrate that ParaBank’s paraphrases improve over ParaNMT on both semantic similarity and fluency. Finally, we use ParaBank to train a monolingual NMT model with the same support for lexically-constrained decoding for sentence rewriting tasks.
For a detailed description of the collection and our methods, please see the following papers:
Hu, J. E., R. Rudinger, M. Post, & B. Van Durme. 2019. ParaBank: Monolingual Bitext Generation and Sentential Paraphrasing via Lexically-constrained Neural Machine Translation. Proceedings of AAAI 2019, Honolulu, Hawaii, January 26 – Feb 1, 2019.
Our evaluation data is available for download here.
We also present an improved constrained-decoding framework with an improved rewriter in the following paper:
Hu, J. E., H. Khayrallah, R. Culkin, P. Xia, T. Chen, M. Post, & B. Van Durme. 2019b. Improved Lexically Constrained Decoding for Translation and Monolingual Rewriting. Proceedings of NAACL 2019, Minneapolis, Minnesota, June 2 – 7, 2019.
In our experiments on data augmentation we overlooked a nice related article on NMT-based paraphrasing for adversarial model improvements, please see: Ribeiro, Singh and Guestrin, ACL’18. There the authors are explicitly looking to find paraphrases that break models.
The improved rewriter is demonstrated here, and can be downloaded here.
We also made public our augmented MNLI and QA data, which is shown to have improved performance of some existing models.
Researchers
|
Benjamin Van Durme |
Matt Post |
Rachel Rudinger |
|
Ryan Culkin |
Tongfei Chen |
Huda Khayrallah |
|
Patrick Xia |
Edward Hu |


BEFORE THE NATIONAL GREEN TRIBUNAL (PRINCIPAL BENCH), NEW DELHI APPEAL NO. 13/2011 Thursday, 30th August, 2012 Quorum: 1. Hon'ble Shri Justice V.R. Kingaonkar (Judicial Member) 2. Hon'ble Shri Devendra Kumar Agrawal (Expert Member) B E T W E E N: 1. Jesurethinam Convernor Coastal Action Network 11/1A, Sri Ramakrishna Paramahamsar Street Velippalayam, Nagapattinam-611 001 2. Vengakadal Meen Thozhilalar Sangam Rep by its Secretary 28, Kariyankudi Chetty Street Velippalayam Nagapattinam-611 001 3. Mr. Desappan, S/o Kali,(Late) 2/198, Meenavar Colony Vanagiri & Post Sirkali Taluk- 609 105 Nagapattinam District AND 1. Ministry of Environment and Forests Union of India, Rep. by its Secretary CGO Complex, Lodhi Road, New Delhi-110 003. 2. Tamil Nadu Pollution Control Board, Rep. by its Chairman Anna Salai, Chennai-32 3. The District Environmental Engineer Tamil Nadu Pollutin Control Board, First Floor, 61 West Gate main Road, Melakotti Vasal, Nagapattinam- 611001. Nagapattinam 4. The District Collector, Nagaqpattinam District, District Collectorate Master Complex-611003 Nagapattinam. 5. M/s. MSL Nagapatnam Power& Infratech Pvt. Ltd. NSL Icon 4th Floor, 8-2-684/2/A, Road No. 12 Banjara Hills Hyderabad-500 034 ... Respondents (Advocates Appeared: Mr. Gautam Narayan & Ms. Ashmita Singh for appellant, Mr. Prasoon Sharma for Respondent No. 1, Mr. M. Yogesh Kanna & Mr. Rajeev M. Roy for Respondent No. 4 and Mr. G. Ramakrishan Prasad, Ms. Tatini Basu & Mr. Amol Gupta for Respondent No. 5) ORDER
(Order delivered by the bench)
1. We have heard learned counsel for the parties.
2. A preliminary objection is raised by learned counsel for respondent No. 5 i.e. Project Proponent. The tenor of the objection is that the appeal is not maintainable in as- much- as the order impugned is dated 13.10.2010 which was rendered prior to commencement of the National Green Tribunal Act, 2010. It is argued that the order passed before commencement of the special enactment cannot be challenged by way of an appeal in the Tribunal which did not exist as on the date of such order. The learned counsel for the Respondent No. 5 invited our attention to Judgment of this Tribunal in Appeal No. 14/2011. By the said Judgment, a Division Bench of this Tribunal categorically held that the appeal against order passed prior to commencement of the National Green Tribunal Act, 2010 is not maintainable. The National Green Tribunal Act, 2010 came into force on 18.7.2010. A combined reading of relevant provisions, particularly Section 16 of the National Green Tribunal Act, 2010 will make it amply clear that the appeal cannot be filed against any order passed prior to 18.10.2010.
3. In our opinion, the appeal is governed by specific provision (Section 16) of the special enactment. It is well -settled that there is no inherent right to prefer an appeal. It is also well-settled that an appeal is creature of statute. It follows, therefore, that unless there is specific right available under an enactment to prefer an appeal, the same cannot be filed as a matter of right. Section 16 of the National Green Tribunal Act, 2010 reads as follows.
a) an order or decision, made, on or after the commencement of the National Green Tribunal Act, 2010 by the appellate authority under Section 28 of the Water(Prevention and Control of Pollution) Act, 1974(6 of 1974)
b) an order passed, on or after the commencement of the National Green Tribunal Act, 2010, by the State Government under Section 29 of the Water (Prevention and Control of Pollution) Act, 1974(6 of 1974)
c) directions issued, on or after the commencement of the National Green Tribunal Act, 2010, by a Board, under Section 33-A of the Water(Prevention and Control of Pollution) Act, 1974(6 of 1974);
d) an order or decision made, on or after the commencement of the National Green Tribunal Act, 2010 by the appellate authority under Section 13 of the Water (Prevention and Control of Pollution) Cess Act, 1977(36 of 1977);
e) an order or decision made, on or after the commencement of the National Green Tribunal Act, 2010, by the State Government or other authority under Section 2 of the Forest(Conservation) Act, 1980(69 of 1980);
(f) an order or decision, made on or after the commencement of the National Green Tribunal Act, 2010, by the Appellate Authority under section 31 of the Air (Prevention and Control of Pollution)Act, 1981(14 of 1981);
(g) any direction issued, on or after the commencement of the National Green Tribunal Act, 2010, under section 5 of the Environment (Protection) Act, 1986 (29 of 1986);
(h) an order made, on or after the commencement of the National Green Tribunal Act, 2010, granting environmental clearance in the area in which any industries, operations or processes or class of industries, operations and processes shall not be carried out or shall be carried out subject to certain safeguards under the Environment(Protection)Act,1986(29 of 1986);
(i) an order made, on or after the commencement of the National Green Tribunal, 2010, refusing to grant environmental clearance for carrying out any activity or operation or process under the Environment (Protection)Act, 1986 (29 of 1986);
(j) any determination of benefit sharing or order made, on or after the commencement of the National Green Tribunal Act, 2010, by the National Biodiversity Authority or a State Biodiversity Board under the provisions of the Biological Diversity Act, 2012(18 of 2003), may, within a period of thirty days from the d ate on which the order or decision or direction or determination is communicated to him, prefer an appeal to the Tribunal;
Provided that the Tribunal may, if it is satisfied that the appellant was prevented by sufficient cause from filing the appeal within the said period, allow it to be filed under this section within a further period not exceeding sixty days."
The prescribed a period of limitation to prefer an appeal is of 30 days. That period of limitation can be extended up to 60 days. It follows that at the most the limitation period can be stretched up to the period of 90 days. It is trite that when a specific provision for limitation is provided under a special statute, the general provisions of the Limitation Act, 1963 are inapplicable. Needless to say that exclusion of period by taking aid from provisions like Section 14 of the Limitation Act is impermissible. Still however, in view of the observations of the Supreme Court in case of Vimal Bhai Vs. Union of India & others, in SLP to Appeal(Civil) No. 12065 of 2009 in order dated 13.5.2011, we refrain ourselves from dealing with the issue of Limitation.
The learned counsel for the Respondent No. 5 has also brought on record an order dated 30.05.2011 passed by a Coordinate Bench of this Tribunal. That appeal was dismissed in view of the Judgment in Appeal No. 14/2011. We find it difficult to give a go- by to the Judgment of the Coordinate Bench. Consequently, we find it appropriate to follow the same view taken by the Coordinated Benches.
In the result, we hold that the appeal is not maintainable for the reasons discussed above and also for the reasons enumerated in the Judgment rendered by the Coordinate Bench in Appeal No. 14/2011. In this view of the matter, the appeal is dismissed as it is not maintainable. No costs.
(Dr. Devendra Kumar Agrawal) (Justice V. R. Kingaonkar) Expert Member Judicial Member


This is a timed quiz, you have 60 seconds. For every wrong answer you lose 5 seconds from the clock. Good luck!


Matrix SquareMatrix DiagonalMatrix
Diagonal Matrix. Diagonal Matrix is matrix which elements equal 0 except in diagonal.
Subclasses
IdentityMatrix
Groups
matrix elements size
See Also
Class Hierarchy


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First and foremost, I would like to say that I don't usually tell people this. They tend to think I'm a little off my rocker if I do. First a little background information for you. I started doing 'Special K' back in 1993 at Rave parties. I would sniff a twenty or two when I was coming down from my Ecstasy. We liked it because it made you feel like you were peaking all over again. It was fun and the thing to do at the time.
 I really believe that when you are on 'K' you can communicate with other species, specifically CATS. I'm not saying that I had intelligent conversations with a cat. I believe that I communicated with them in ways that just aren't normal.
So with that in mind I will tell you why I believe this. I had gone to a party in Richmond at a friend's house. We decided to see what would happen if we pushed the limit with Ketamine. I had a pretty high tolerance so instead of the usual 150mg I loaded up three syringes full at 100mg's each. I had two of them and my friend had the other one. On the count of three we simultaneously injected all three into me. Two in my legs, one in my arm.
Now I'm not going to bore you with the initial feelings and the colors (which were great, by the way). I remember that I definitely wanted to go outside because of the weather. I ended up in your basic dirty, trash-filled back alley.
At this point I felt like I was dreaming, as though I was slipping in and out of reality. At the same time I also felt like I had control of the situation.
I saw a cat running at the end of the alley. I knelt down and called to it and I knew inside that it would come. It came directly to me. Now I know that this sounds completely normal. You are probably thinking that the cat must have been someone's pet. That is what I would probably think too. It isn't that odd for a cat to get lost from it's home. It could just look like an alley cat, dirty and hungry. But the thing is, other cats started approaching. I called all of them over to me and they came. All of them were loners. Quite honestly I really don't believe that five or six cats, that were lost from their homes, all lived in that alley together.
They were dirty, hungry, wild looking animals. If you don't know about alley cats, pretty much about 99.9% of the time, they run like bats out of hell at the sight of a human being.
I remember that I wanted to shield and protect them from their lives. I think that because of the Ketamine my mind was opened to a level of connection and understanding. I felt as though I could feel their fear and their pain and they could feel my empathy. I petted them and talked to them for how long I don't know.
My friend who was looking for me turned the corner and the cats disappeared into the hiding places they called home. At first I thought I must have hallucinated the whole thing because it was just to incredible. But thanks to my friend, I had an eye witness.
I remember that I was just in total awe. I felt so connected with a bigger picture. Also, it was like a dream come true. When I was a little girl I used to pretend that I could communicate with animals. It happened with the help of Ketamine.
When I tell people about this, they pretty much agree that it could happen, but don't really believe in it. My friend who found me believes in this higher level. Sometimes it's hard for me to believe that six alley cats came to me at one time, but it happened. It was not a dream.
Anyway, that was one of my many experiences on Ketamine. It was the best and by far the most memorable.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


mbeddr
Reviewed July 25, 2019mbeddr is a projectional editor and IDE for embedded programming in C. It's best known for its focus on a text-editing-like feel. It also features mixed direct manipulation interfaces, state machines, units, requirements, varients, and more. It is built with and can be extended via JetBrains MPS. It is one of the oldest and most-developed projectional editors, documented in a number of academic papers on its many innovative design choices.
Product Feel
- 👍 Editing is mostly fluid, with a ~3 hour learning curve
- 👍 Interesting, innovative features
- 👎 It doesn’t feel cohesive: interesting experiments tacked on
Basic Usage
The above video shows editing a few mathematical expressions in mbeddr. It demonstrates:
- creating a new variable name via referencing it
- fluidly changing expressions like it's text-editing
- wrapping an expression in parenthesis (after failing to get it to group properly without them) for use in a ternary expression
- context-aware copy-and-paste, which gives appropriate out-of-scope errors
- renaming taking effect everywhere
Freeform-ish editing
The mbeddr text-like editing experience is so good that you forget you're editing an AST. In other words, there are a lot of tree manipulations happening under the hood as you edit the code as text. The following video is narrated by one of the creators of mbeddr, and shows him adding and removing keyword arguments in arbitrary orders (not only outside-in like traditional projectional editors). This allows even the simple pleasure of typing mathematical expressions linearly, a rarity for projectional editors. It accomplishes this by] automatically rebalancing its AST to maintain the expected PEMDAS order of operations of math expressions. Additionaly, it allows you to parenthesize an expression naturally via its "unbalanced parenthesis" node. It allows you to place a left-parenthesis first and then later navigate over to place the right-parenthesis, just like you would in text!
Mixed notational interfaces
mbeddr includes a number of rich-text and visual components and notations, such as math equations, tables, and flowcharts. They allow for both mouse-based direct manipulation and keyboard navigation. They even allow users to build their own notational interfaces to extend the tool.
Decision tables
In the following video I create a visual decision table by typing decta
and navigate it by keyboard to fill it in. I then use the context menu to create a vertically-aligned fraction, which I copy and paste into the decision table. I even put a decision table inside the decision table!
I wasn't able to get it to work, but apparently (as in this video and the following photo) decision tables can automatically verified as long as the equations are linear.
State machines
State machines are fully supported in mbeddr with both a textual and graphical representation. Clicking a node in the graphical state machine highlights the relevant code. State machines are also automatically verifiable with a built-in model checker, highlighting unhandled or impossible states or transitions.
Units
mbeddr supports unit type annotations, which are a lightway way to prevent a whole class of logical bugs. In the following video, I manipulate the units of various number types, demonstrating that compound units such as mph
can be built out of expressions of their component types dividing a m
by an h
. I also show how we can explicitly convert from kph
to mph
.
Requirements
mbeddr supports keeping track of product requirements directly within the mbeddr IDE, linked directly to relevant expressions in the code. It allows for searching for implementation expressions in the code by requirements, and showing/hiding requirements throughout the code. The requirements themselves can embed arbitrary mbedder expressions, which can then be referenced in the code, allowing a product manager to express logic in a decision table, for example, that could then be embedded right into the code.
Variants
Variants are useful for pre-processing programs to be compiled in a variety of ways. They are like macros or feature flags. mbeddr supports them with a specialized, colorized UI, and static checking to prevent incompatible flag combinations.


LESSONS OF DARKNESS A film review by Max Hoffmann Copyright 1993 Max Hoffmann
Seen: Fri 5/7/93, Camera 3 San Jose, SF Film Festival Rating: 9 (scale of 1->10) Director: Werner Herzog Prod: Paul Berriff, Herzog Camera: Paul Berriff Editor: Rainer Standke Running Time: 53 minutes
Herzog describes this film as a "poetic vision of the new landscapes which have emerged in Kuwait --- a national park of the future." The film is difficult to classify, not quite a documentary, more akin to a silent film with titles, a few voice overs, and a compelling score (Wagner, Prokofiev, Mahler and others). The compelling, surrealistic images, shot from the ground and helicopter, let you draw your own conclusions about the conflict. The film holds your attention with same rubber necking fascination that makes us slow down and scan a bad highway accident.
 Though many of the images are horrific or apocalyptic, there is often a weird sort of beauty to the images. The darkened skies over dark blue water are reminiscent of oil paintings by old Flemish masters.
Herzog was at the screening, live and in person. He revealed that for this film, in some sequences he had the soundtrack picked out, and he sought images that matched what he heard. The film was made during the last week that the oil fires were burning. The crew trying to put out the fires have a weird anonymous look with their asbestos gear and masks. Herzog says that the fires were so hot, that in a few cases the microphones melted, and often the soles of their boots would fuse to the sand. The print is remarkably unspoiled, and it makes you wonder what kind of cameras were used. It's obvious in most of the shots that it's not a zoom lens, or blown-up shot. Herzog also says he met Klaus Kinski when he was 13 and Kinski was a 25-year-old boarder in the same run-down flat. Kinski used to lock himself up in the bathroom for hours at a time. Herzog also says he shot NOSFERTU by necessity, and kept it as close to the original silent in imagery as possible. "I felt like I was passing over water with no bottom. Nosferatu let me get my feet on solid ground again."
LESSONS OF DARKNESS is as enigmatic as its maker and that final quote. Not to be missed.
.
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
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Related links: index of all rec.arts.movies.reviews reviews


H.B. Woodrose
I was so excited upon receiving my mail order HBW seeds. I waited to finish my classes that day to begin ingesting them. I figured that since the trip supposedly lasts from 6-8 hours, I would have enough time to come down and go to sleep and wake up for class the next day. My room was dim and quiet. I decided to start with 6 seeds. I scraped and flamed off the hairs on the coat as best I could. I began chewing them and held them in my mouth for about 10 minutes, then swallowed.
I didn't feel anything, not even the popularly-claimed nausea. After an hour, I was somewhat disappointed. Since I had read reports of peple taking up to 14 seeds, I came to the conclusion that I simply hadn't eaten enough. So, I ate 4 more seeds. Still nothing; no nausea or hints of a trip coming. About a half an hour later, I was convinced that I still hadn't ingested enough, so I ate 4 more seeds. Still, nothing. So, another fifteen minutes later, I ate 5 more seeds.
Well, that's a total of 19 seeds. I didn't feel a thing. I'm really disappointed. Maybe it's just the company I ordered from. But, I believe the trips are definitely possible! Just maybe I did something wrong, or I have a bad source. Good Luck!
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


--- layout: default title: Understand JavaScript Apps og_image: http://www.fromjs.com/img/fromjs-chrome-extension.png og_description: Find the source of every HTML character in a JavaScript app. ---
FromJS observes JavaScript data flow at runtime, and helps you analyze it.
The first version of FromJS was too flaky to be useful in practice. FromJS 2 will actually work!
FromJS is a developer tool that helps you understand how a JavaScript app works.
You can select an HTML element to view where its content came from, or call fromJSInspect
in your code.
The screenshot shows that the string "Hello" originally came from localStorage.
Install from NPM:
sudo npm install -g @fromjs/cli --unsafe-perm
Then run fromjs
from the command line. This will open a new Chrome instance. Collected data will be stored in ./fromjs-session
.
Read the readme to learn more.
It works reasonably well. Trello is inspectable, and all Lodash test cases pass. Large apps will require a long time to load (1-20 minutes), and be slow to interact with.
There are two types of "not working". The first is when the inspected page fails to load, or takes so long to load that inspecting
is not practical.
The second is not being able to find the origin of the inspected value.
Some features don't have much support, e.g. using promises currently means losing origin data (except for some special logic for `fetch` calls). In general things don't work unless support has been added explicitly.


Lists all sinks.
logging_client = logging.Client()
sinks = []
token = None
while True:
new_sinks, token = logging_client.list_sinks(page_token=token)
sinks.extend(new_sinks)
if token is None:
break
if not sinks:
Lists all sinks.
logging_client = logging.Client()
sinks = list(logging_client.list_sinks())
if not sinks:
print("No sinks.")


Supplementary material for this article is available at
Section S1. Similar observation in a superconducting sample (fig. S6)
Section S2. Scaling factor used in Fig. 3C and fig. S6C
Section S3. Canted angle between adjacent MoO 6 octahedra
Section S4. Theory of dark excitons and its contribution to resistivity and MR along the a axis
Section S5. Deconvolution of the anisotropic MR in LMO
Table S1. Location of the maxima and minima in the angular MR in LMO above T min.
Fig. S1. Mirror reflection of the ADMR curves at various temperatures about the c axis.
Fig. S2. The magnitude of asymmetry as a function of temperature for MR curves of current along the b axis.
Fig. S3. Contrast in the asymmetric MR response upon rotation within the three crystallographic planes.
Fig. S4. Normalized ADMR curves obtained at various temperatures as a constant magnetic field of 13 T, rotated within the bc plane.
Fig. S5. Absence of asymmetric MR ( I// b) with increasing field strength for B rotated within the bc plane.
Fig. S6. Origin of the asymmetric MR and determination of the critical angle for a second, superconducting LMO crystal.
Fig. S7. Scaling factor used in Fig. 3C and fig. S6C, respectively.
Fig. S8. A close view of the canted MoO 6 octahedra in LMO.
Fig. S9. Configurations of electric contacts applied to our LMO crystals.
Fig. S10. Schematic of crystallization of dark excitons.
Fig. S11. Power-law behavior of resistivity along the b axis in both insulating and superconducting LMO crystals.


Now scroll to experience the animation
There is no dependency on this library
In the simplest case, you just need to call the function and pass it an element
You can also pass an object to configure the animation
TranslateX to change the distance and direction of the horizontal axis
Of course, translateY to change the distance and direction of the vertical axis
Scale to resize the element as it slides
Duration to reset the time to execute the animation
Show affect whether the animation is performed the first time
And you will need onload if the element takes time to load
With awesome callback and trigger, things will be different
Thanks for watching
[code]


Following the death of the Russian ambassador to Turkey, Michael Flynn called Russian Ambassador to the U.S. Sergey Kislyak to express condolences.


Md Rashed - Uz - Zaman (Rz Rasel)
Android Development, iOS Development, Game Development, Front-end from
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add a vector layer
const vector = new ol.layer.Vector({
source: source
});
this.map = new ol.Map({
target: 'olmap',
layers: [this.osm, vector],
view: this.view
});
create an interaction
this.draw = new ol.interaction.Draw({
source: source,
type: 'Point'
});


A set of functions to extract results from regression models and plot the effect size using 'ggplot2' seamlessly. While 'broom' is useful to convert statistical analysis objects into tidy data frames, 'coefplot' is adept at showing multivariate regression results. With specific outcome, this package could build regression models automatically, extract results into a data frame and provide a quicker way to summarize models' statistical findings using 'ggplot2'.
| Version: | 1.5.0 |
| Depends: | R (≥ 3.0.0) |
| Imports: | ggplot2 (≥ 2.0.0), rlang (≥ 0.1.2), survival, psych, utils, stats, nortest, dplyr |
| Suggests: | ggthemes, knitr, rmarkdown, testthat |
| Published: | 2017-09-28 |
| Author: | Xikun Han [aut, cre] |
| Maintainer: | Xikun Han <hanxikun2014 at 163.com> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | quickReg results |
| Reference manual: | quickReg.pdf |
| Vignettes: |
quickReg |
| Package source: | quickReg_1.5.0.tar.gz |
| Windows binaries: | r-devel: quickReg_1.5.0.zip, r-release: quickReg_1.5.0.zip, r-oldrel: quickReg_1.5.0.zip |
| OS X binaries: | r-release: quickReg_1.5.0.tgz, r-oldrel: quickReg_1.5.0.tgz |
| Old sources: | quickReg archive |
Please use the canonical form https://CRAN.R-project.org/package=quickReg to link to this page.


Basic Workflow: Importing Pathways
- Launch Cytoscape, and in the Network Search Tool at the top of the Network tab in the Control Panel, select WikiPathways in the drop-down. Type in "cell cycle" (with quotes) and click the search icon.
- A list of results for all available species will open. To see results from a select species, click the Only checkbox and select a species from the drop-down (example: Homo sapiens).
- Select the human Cell Cycle pathway (WP179) and click Import as Pathway, or simply double-click the pathway in the list.
Importing Pathways
The pathway opens in Cytoscape with the original pathway layout and the WikiPathways style.
Pro-tip: if the labels are not depicted in the visualization, click on the diamond shaped button below the visualization to enable showing names. This step is depicted in the figure below in the red square.
Pathway Node Identifiers
Nodes in pathways from WikiPathways are annotated with identifiers from public databases, visible in the XrefId column in the Node Table. During import, the WikiPathways App maps these identifiers automatically to Ensembl identifiers for genes and proteins and ChEBI for metabolites, adding them to a new column (to the far right of the Node Table).
Data Import
The data we will be using for this workflow (E-GEOD-68086.csv) is from a study investigating the RNA-seq signatures of platelets from patients with various types of cancer, in an effort to develop a platelet-based diagnostic (Best et el., 2015). The data was downloaded from Expression Atlas.
- Load the E-GEOD-68086.csv file under File menu, select Import → Table from File....; select the file you want to import in the menu, and click on Open. Alternatively, drag and drop the data file directly onto the Node Table.
- Under Where to Import Table Data, select To a Network Collection and select the relevant network collection in the second drop-down; if you only have one network opened in Cytoscape, this network is selected automatically.
- In the Key Column for Network drop-down, select the new Ensembl column.
- In the Preview table, note that the Gene ID column is already selected as the key.
- The next slide in this presentation shows an example of the data import interface.
Data Import
The data import interface should now look like this:
- Click OK to import.
- Once import is complete, look for the newly imported data columns in the Node Table to confirm that it worked.
Data Visualization: Node Fill Color
We now have the data in Cytoscape, linked to the pathway, and ready to map to visual properties of the nodes in the network. For this workflow, we will choose data from one of the cancer types, "breast carcinoma", and visualize the fold change as Node Fill Color.
- At the top of the Style tab (left-hand side panel), click on the Options button and choose Copy Style.... Select an appropriate name, for example "Basic Data Visualization".
- Still in the Style interface, for the Fill Color visualization option, select the middle column (Map. box).
- In the Column drop-down, select 'breast carcinoma' vs 'normal' .foldChange.
- In the Mapping Type drop-down, select Continuous Mapping. This will create a default color gradient from blue (negative fold change) to red (positive fold change):
Data Visualization: Node Border Width
We also have a significance measure for the fold change, which we can add to our visualization. For this, we will use both Node Border Width and Node Border Size to visualize the p value.
- Click on the Map. cell for the Node Border Width property in the Style panel.
- In the Column drop-down, select 'breast carcinoma' vs 'normal' .pValue.
- In the Mapping Type drop-down, select Continuous Mapping.
- Double-click on the gradient, which defines the node border width over the range of p values.
- First, we will define the min/max of the range of p values we are interested in, that is p values less than or equal to 0.05. Click on Set Min and Max... and set the max to 0.05. Click OK to save.
- Click on the handle for the max value (black triangle on the right-most end of the gradient) and set the value to 5 in the Node Border Width field. Repeat with the handle for the min value. Click OK to update the mapping.
- Click the Def. value for Node Border Paint and select a dark grey color.
Data Visualization: Node Border Color
- Click on the Map. cell for Node Border Paint in the Style panel.
- In the Column drop-down, select 'breast carcinoma' vs 'normal' .pValue.
- In the Mapping Type drop-down, select Continuous Mapping.
- Double-click on the gradient.
- Similar to the last step, we will define the min/max of the range of p values we are interested in, that is anything under 0.05. Click on Set Min and Max... and set the max to 0.05. Click OK to save.
- Click on the large triangle handle at the right-most end of the gradient. This defines the border color for nodes with p value > 0.05, meaning not significant, so let's set it to dark grey.
- Next, set all the other handles to the same color, preferably a bright color that is not part of the node fill gradient, for example bright pink. We can delete the middle handle since we want the same color for anything under 0.05, simply select it and click Delete.
Data Visualization
We now have our example data visualized on the pathway, with fold change represented as a gradient node fill color and significance as node border color/width.
Adding a Legend
To add a legend to your pathway visualizations, you can use the Legend Creator App.
- In the Network Panel select the network you want to add a legend to. For this example, let's use the Cell Cycle pathway with the original pathway layout.
- In the Control Panel, select Legend Panel either from the drop-down at the top, or by clicking on its tab.
- The Legend Panel will have some visual properties selected by default. Make sure they are the ones you want to include in the legend. For this example we will unselect all except Node Fill Color.
- Select a Title for the legend, for example "Breast carcinoma vs normal". For this example, the Subtitle is left blank.
- Click Refresh Legend to add the legend to your network.
Adding a Legend
Our final visualization now includes a legend. In this case, the legend graphic was resized from the default. This can be done by first clicking Toggle Annotation Selection at the bottom of the Network View Window.
Saving and Exporting Data Visualization
Cytoscape provides a number of ways to save results and visualizations:
- As a session: File → Save Session, File → Save Session As...
- As an image: File → Export → Network to Image..., selecting for example pdf or png from the Export File Format drop-down.
- To a public repository: File → Export → Network to NDEx
Advanced Workflow: Importing Multiple Pathways
This workflow describes how to work with multiple WikiPathways pathways in Cytoscape, and how to visualize more than one data point. This analysis assumes that we already have a list of pathways of interest. This list could come from enrichment analysis, but could also be a list of pathways of interest from prior knowledge.
The data we will be using for this workflow (E-GEOD-68086.csv) is from a study investigating the RNA-seq signatures of platelets from patients with various types of cancer, in an effort to develop a platelet-based diagnostic (Best et el., 2015). The data was downloaded from Expression Atlas.
- If you are continuing from the previous workflow, make sure the session is saved and then select File → Close Session to start from scratch.
- Using the the Network Search Tool with WikiPathways selected, search for and open the following human pathways, with the Import as Pathway option. Pro-tip: You can search for the WPID instead of the title.
- WP179: Cell cycle
- WP2446: Retinoblastoma gene in cancer
- WP4830: GDNF/RET signaling axis
- WP707: DNA damage response
The 4 pathways will be listed as separate network collections in the Network Panel:
Data Import
Now that we have our pathways of interest open, we can load the data. Cytoscape allows you to import data either to a specific network, collection of networks, or a set of networks. We will use the latter, to avoid having to load the data multiple times.
- Load the E-GEOD-68086.csv file under File menu, select Import → Table from File.....
- Under Where to Import Table Data, select To selected networks only and click the Select All button to select all of the networks in the Network List.
- For the Import Data as: option, select Node Table Columns (default).
- In the Key Column for Network drop-down, select the Ensembl column.
- In the Preview table, note that the Gene ID column is already selected as the key.
Data Import
Each network should now have multiple extra columns corresponding to fold change and p-value for several cancer types:
Data Visualization
To visualize the data on the pathways, we are going to use Cytoscape's built-in function for Custom Graphics to visualize the fold change values for three cancer types: breast carcinoma, pancreatic adenocarcinoma and colorectal carcinoma. For this particular workflow, the visualized data points should be of the same type, for example fold changes.
- At the top of the Style tab (left-hand side panel), click on the Options button and choose Copy Style.... Select an appropriate name, for example "Advanced Workflow".
- Still in the Style interface, click on the Def. column of Image/Chart 1.
- Under Charts select Heatmap option (third icon from the left). Select the columns you want to visualize; 'breast carcinoma' vs 'normal'.foldChange, 'pancreatic adenocarcinoma' vs 'normal'.foldChange and 'colorectal carcinoma' vs 'normal'.foldChange. Remove any other columns selected by default.
- Under Customize, select Horizontal Orientation.
- Under Color Palette select HSV Red-Blue (left-most).
- Click the Not Available icon in the color palette and change its color from dark grey to white.
- Click Apply.
Data Visualization
The three data points are now visualized as vertical stripes, each with a gradient from blue-red for fold change. Note that for this particular graphic (heatmap with horizontal orientation), the data points are displayed in the opposite order from how they were listed in the Custom Graphics interface, so in this case from left to right it is showing pancreatic adenocarcinoma vs normal, colorectal carcinoma vs normal and breast carcinoma vs normal.
Data Visualization
To apply the same visualization to the remaining pathways, simply select each one of the pathways in the Network Panel and the style will be automatically applied:
Saving and Exporting Data Visualization
Cytoscape provides a number of ways to save results and visualizations:
- As a session: File → Save Session, File → Save Session As...
- As an image: File → Export → Network to Image..., selecting for example pdf or png from the Export File Format drop-down.
- To a public repository: File → Export → Network to NDEx
Network Workflow
In addition to importing pathway models with the original layout and visual style of the WikiPathways model, the WikiPathways App also allows import of any pathway as a network. In this workflow, we will import one of the pathways as a network, perform data visualization using the Omics Visualizer app, and extend the network with drug interactions using the CyTargetLinker app.
- Install the Omics Visualizer and CyTargetLinker apps via Apps → App Store → Show App Store.
- Download CyTargetLinker Link Sets. For this workflow, we will use DrugBank drug-target interactions.
- The link set will be downloaded as a compressed file. Unzip it and place it in new folder in your main user directory.
Importing Pathways as Networks
We will import one of the pathways from the previous workflow as a network:
- If you are continuing from the previous workflow, make sure the session is saved and then select File → Close Session to start from scratch.
- Using the Network Search Tool with WikiPathways selected, search for "retinoblastoma" or "WP2446" and open the pathway using the Import as Network option.
Importing Pathways as Networks
Note that the pathways now appear with the default Cytoscape layout applied, and nodes have a default round shape. Some graphical aspects of the pathway model are retained, such as node border and node label colors, and edge line types.
Extend the Network
Next, we will use the CyTargetLinker app to extend the network with drug-target interactions.
- Go to Apps → CyTargetLinker → Extend network.
- Under Select User Network choose the network you just imported.
- Under Select your network attribute choose Ensembl.
- Click the Browse button and find the directory where your link sets are stored. Select the directory (not the individual files).
- Keep the default setting as BOTH for Select direction.
- Click Ok to continue.
Extend the Network
A set of nodes and interactions will be added to the network, representing drugs with interactions to the existing nodes in the network. The style of the network is automatically updated to the CyTargetLinker default style, which uses purple for the drug nodes and blue for the drug-target interaction. The node label is mapped to CTL node label, so our original network nodes will have no label. We can update this so that all nodes have labels:
- In the Style panel, expand the Node Label mapping to see the details.
- Click in the Column field and update the mapping from CTL.Type to name.
Data Import
Next, we can add a data visualization to the nodes using the the Omics Visualizer app. We will use the same data as in the previous workflows.
- Go to Apps → Omics Visualizer → Import data from file and select the E-GEOD-68086.csv.
- A new tab titled Omics Visualizer Tables will be avaiable in the Table Panel .
Data Import
Next, we need to establish the mapping between the new table and the network.
- Go to Apps → Omics Visualizer → Manage table connections.
- For Select Network Collection, choose Retinoblastoma gene in cancer - Homo sapiens.
- For Select key column from Network, choose Ensembl.
- For Select key column from Table, choose Gene ID.
Visualizing Data Using Charts
We now have the data mapped and we are ready to add charts based on the example data. We will visualize the same three data points as in the previous workflow.
- Go to Apps → Omics Visualizer → Create donut visualization.
- Under Values select the first data point, 'breast carcinoma' vs 'normal'.foldChange.
- Click the plus sign and add 'pancreatic adenocarcinoma' vs 'normal'.foldChange, and repeat for 'colorectal carcinoma' vs 'normal'.foldChange.
- In the Mapping Type drop-down, select Continuous Mapping.
- Leave Mapping as Continuous, and Labels as --- NONE ---. Click Next > to proceed.
- Leave the defaults as-is, except for the Ring is, which should be set to row. Click Draw to continue.
The network now has a donut chart around each node, representing the three data points:
Saving and Exporting Data Visualization
Cytoscape provides a number of ways to save results and visualizations:
- As a session: File → Save Session, File → Save Session As...
- As an image: File → Export → Network to Image..., selecting for example pdf or png from the Export File Format drop-down.
- To a public repository: File → Export → Network to NDEx


PostCSS Maze
Maze is a flexible and semantic mobile first responsive grid built with PostCSS. Maze is fully customisable and removes the reliance on .last-column classes by instead applying the margin to both sides of each element and adjusting the wrapper width accordingly.
Equal elements
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Multi row
Using a mobile first aproach, multiple rows can be included in the same wrapper
1/8
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Non equal elements


The data-result-blob property is a Blob object, which is necessary in some upload libraries like Angular File Upload
Image using the data uri:
The Base64 String used in the image above:


To transform the digital world into a more informed, technologically advanced and secured cyberspace to dwell.


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{% include darkmode.html %}Stacks provides everything you need to quickly design, build, and ship coherent experiences across all of Stack Overflow—from the brand and product itself, down to how we send emails and write copy.


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"I am a student currently enrolled in the west-mec coding program. In the duration of the two years, I will first begin learning the computer language, "HTML5" and "CSS3" then continue on to learning "Javascript" and more."
I grew up in Central Phoenix, Arizona being the first child in the family. I moved around alot, but I am happy to say I have found a place to call home on the west side of Phoenix. Currently I have 4 younger sibling (3 boys 1 girl) in my family. I am fluent in both spanish and english, spanish being my first language. The highschool I am currently in is Tolleson Union highschool. I'm in my junior year and on my way to graduating.
I like to think of myself as a very kind hardworking person.


The automate modal can be used to execute user scripts.
You can open the automate modal by:
You can change the selected script by clicking the script dropdown Clicking the script's name directly will edit the name.
Click the OK button or press Ctrl + Enter to run the currently selected script.
You can create a new script by clicking the New button or pressing Ctrl + N.
You can save changes made to a script at any time by clicking the Save button or by pressing Ctrl + S. Changes will be automatically saved when the modal is closed or the script is executed.
You can rename a script by clicking on its name or by pressing F2 while it is selected. The script will be moved to the new filename when it is next saved.
You can delete the currently selected script by clicking the Delete button or by pressing Delete.


ipptool(1) Apple Inc. ipptool(1) NAME ipptool - perform internet printing protocol requests SYNOPSIS ipptool [ -4 ] [ -6 ] [ -C ] [ -E ] [ -I ] [ -L ] [ -S ] [ -T seconds ] [ -V version ] [ -X ] [ -c ] [ -d name=value ] [ -f filename ] [ -i seconds ] [ -n repeat-count ] [ -q ] [ -t ] [ -v ] URI filename [ ... filenameN ] DESCRIPTION ipptool sends IPP requests to the specified URI and tests and/or displays the results. Each named file defines one or more requests, including the expected response status, attributes, and values. Output is either a plain text, formatted text, CSV, or XML report on the standard output, with a non-zero exit status indicating that one or more tests have failed. The file format is described in ipptoolfile(5). OPTIONS The following options are recognized by ipptool: -4 Specifies that ipptool must connect to the printer or server using IPv4. -6 Specifies that ipptool must connect to the printer or server using IPv6. -C Specifies that requests should be sent using the HTTP/1.1 "Transfer- Encoding: chunked" header, which is required for conformance by all versions of IPP. The default is to use "Transfer-Encoding: chunked" for requests with attached files and "Content-Length:" for requests without attached files. -E Forces TLS encryption when connecting to the server using the HTTP "Upgrade" header. -I Specifies that ipptool will continue past errors. -L Specifies that requests should be sent using the HTTP/1.0 "Content- Length:" header, which is required for conformance by all versions of IPP. The default is to use "Transfer-Encoding: chunked" for requests with attached files and "Content-Length:" for requests without attached files. -S Forces (dedicated) SSL encryption when connecting to the server. -T seconds Specifies a timeout for IPP requests in seconds. -V version Specifies the default IPP version to use: 1.0, 1.1, 2.0, 2.1, or 2.2. If not specified, version 1.1 is used. -X Specifies that XML (Apple plist) output is desired instead of the plain text report. This option is incompatible with the -i (inter‐ val) and -n (repeat-count) options. -c Specifies that CSV (comma-separated values) output is desired instead of the plain text output. -d name=value Defines the named variable. -f filename Defines the default request filename for tests. -i seconds Specifies that the (last) file should be repeated at the specified interval. This option is incompatible with the -X (XML plist output) option. -l Specifies that plain text output is desired. -n repeat-count Specifies that the (last) file should be repeated the specified num‐ ber of times. This option is incompatible with the -X (XML plist output) option. -t Specifies that CUPS test report output is desired instead of the plain text output. -v Specifies that all request and response attributes should be output in CUPS test mode (-t). This is the default for XML output. COMPATIBILITY The ipptool program is unique to CUPS. EXAMPLES Get a list of completed jobs for "myprinter": ipptool ipp://localhost/printers/myprinter get-completed-jobs.test Send email notifications to<EMAIL_ADDRESS>when "myprinter" changes: ipptool -d<EMAIL_ADDRESS>ipp://localhost/printers/myprinter create-printer-subscription.test STANDARD FILES The following standard files are available: create-printer-subscription.test get-completed-jobs.test get-jobs.test ipp-1.1.test ipp-2.0.test ipp-2.1.test testfile.jpg testfile.pdf testfile.ps testfile.txt SEE ALSO ipptoolfile(5), http://localhost:631/help COPYRIGHT Copyright 2007-2010 by Apple Inc. 9 November 2010 CUPS ipptool(1)


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◄ 41st IPHO 2010 ►
Country results • Individual results
| Contestant | Country | Rank | Award |
|---|---|---|---|
| Yichao Yu | People's Republic of China | 1 | Gold Medal |
| Jundong Wu | People's Republic of China | 2 | Gold Medal |
| Fabian Gundlach | Germany | 3 | Gold Medal |
| Daniel Li | United States of America | 4 | Gold Medal |
| Isarapong Eksinchol | Thailand | 5 | Gold Medal |
| Sergei Patiakin | United Kingdom | 6 | Gold Medal |
| Nai-Lun Hsu | Taiwan | 7 | Gold Medal |
| Szu-Po Wang | Taiwan | 8 | Gold Medal |
| Qian Yu | People's Republic of China | 9 | Gold Medal |
| Li Jing | People's Republic of China | 10 | Gold Medal |
| Chayakorn Pongsiri | Thailand | 11 | Gold Medal |
| Aakanksha Sarda | India | 12 | Gold Medal |
| Liubov Karelina | Russia | 13 | Gold Medal |
| Nakarin Lohitsiri | Thailand | 14 | Gold Medal |
| Christian George Emor | Indonesia | 15 | Gold Medal |
| Yongliang Zhang | People's Republic of China | 16 | Gold Medal |
| Jáchym Sýkora | Czech Republic | 17 | Gold Medal |
| David Giovanni | Indonesia | 18 | Gold Medal |
| Simon Buchholz | Germany | 19 | Gold Medal |
| Lynn Chua | Singapore | 20 | Gold Medal |
| Anh Minh Dinh | Vietnam | 21 | Gold Medal |
| Zoltán Jéhn | Hungary | 22 | Gold Medal |
| Ling-Ya Chao | Taiwan | 23 | Gold Medal |
| Tzu-Ming Hsu | Taiwan | 24 | Gold Medal |
| Kevin Soedyatmiko | Indonesia | 25 | Gold Medal |
| Weerapat Pittayakanchit | Thailand | 26 | Gold Medal |
| Ádám Varga | Hungary | 27 | Gold Medal |
| Daqian Wang | Hungary | 28 | Gold Medal |
| Siraput Jongaramrungruang | Thailand | 29 | Gold Medal |
| Tehrim Yoon | Republic of Korea | 30 | Gold Medal |
| Kuan Yu Lin | Taiwan | 31 | Gold Medal |
| Muhammad Sohibul Maromi | Indonesia | 32 | Gold Medal |
| Andrei Klishin | Belarus | 33 | Gold Medal |
| Jonathan Han Son Ma | Hong Kong | 34 | Gold Medal |
| Andreas Völklein | Germany | 35 | Gold Medal |
| Eric Spieglan | United States of America | 36 | Silver Medal |
| Giuliano Chiriacò | Italy | 37 | Silver Medal |
| Jixuan Wang | Canada | 38 | Silver Medal |
| Denys Rybalka | Ukraine | 39 | Silver Medal |
| Stefano Rulli | Italy | 40 | Silver Medal |
| Vipul Singh | India | 41 | Silver Medal |
| Gabija Žemaityte | Lithuania | 42 | Silver Medal |
| Kyungjoo Noh | Republic of Korea | 43 | Silver Medal |
| Orkxan Baghirli | Azerbaijan | 44 | Silver Medal |
| Anand Oza | United States of America | 45 | Silver Medal |
| Binh Minh Pham | Vietnam | 46 | Silver Medal |
| Umid Aghazada | Azerbaijan | 47 | Silver Medal |
| Aleksandar Aleksandrov Makelov | Bulgaria | 48 | Silver Medal |
| Soon Wei Daniel Lim | Singapore | 49 | Silver Medal |
| Leonid Tuzenko | Ukraine | 50 | Silver Medal |
| Jie Liang Lee | Singapore | 51 | Silver Medal |
| Marius Constantin | Romania | 52 | Silver Medal |
| Shivam Handa | India | 53 | Silver Medal |
| Jakub Kocak | Slovakia | 54 | Silver Medal |
| Mykola Stepanov | Ukraine | 55 | Silver Medal |
| Ambroise Marigot | France | 56 | Silver Medal |
| Ahmad Ataka Awwalur Rizqi | Indonesia | 57 | Silver Medal |
| Elie Gouzien | France | 58 | Silver Medal |
| Dusan Nemec | Slovakia | 59 | Silver Medal |
| Mehul Kumar Sharma | India | 60 | Silver Medal |
| Zhaslan Baraissov | Kazakhstan | 61 | Silver Medal |
| Jonathan Samuel Zung | Canada | 62 | Silver Medal |
| Tadas Kartanas | Lithuania | 63 | Silver Medal |
| Ardalan Khazraei | Islamic Republic of Iran | 64 | Silver Medal |
| Evgenii Stroinov | Russia | 65 | Silver Medal |
| Eugen Hruska | Slovakia | 66 | Silver Medal |
| Pham Van Quyen | Vietnam | 67 | Silver Medal |
| Ryusuke Hamazaki | Japan | 68 | Silver Medal |
| Van Trung Phan | Vietnam | 69 | Silver Medal |
| Chuan Wei Darryl Foo | Singapore | 70 | Silver Medal |
| Alexei Zubarev | Moldova | 71 | Silver Medal |
| Filip Kozarski | Slovenia | 72 | Silver Medal |
| Navot Silberstein | Israel | 73 | Silver Medal |
| Johannes Rothe | Germany | 74 | Silver Medal |
| Kemeldinov Aidyn | Kazakhstan | 75 | Silver Medal |
| Adam Scibior | Poland | 76 | Silver Medal |
| Michael Scherbela | Austria | 77 | Silver Medal |
| Alexey Alexeev | Russia | 78 | Silver Medal |
| Geva Sheinvald | Israel | 79 | Silver Medal |
| Gareth Wilkes | United Kingdom | 80 | Silver Medal |
| Jan Bogar | Slovakia | 81 | Silver Medal |
| Andy Loo | Hong Kong | 82 | Silver Medal |
| Taras Teslyuk | Ukraine | 83 | Silver Medal |
| Sangmin Seo | Republic of Korea | 84 | Silver Medal |
| Nurzhas Aidynov | Kazakhstan | 85 | Silver Medal |
| Anatoli Tsinovoy | Israel | 86 | Silver Medal |
| Abel Lacabanne | France | 87 | Silver Medal |
| Ants Remm | Estonia | 88 | Silver Medal |
| Lütfi Altın | Turkey | 89 | Silver Medal |
| Tamirlan Seidakhmetov | Kazakhstan | 90 | Silver Medal |
| Enes Aybar | Turkey | 91 | Silver Medal |
| Andreas Theiler | Austria | 92 | Silver Medal |
| Qi Xuan Benjamin Goh | Singapore | 93 | Silver Medal |
| Dmitrii Gornostaev | Russia | 94 | Silver Medal |
| Hannu Siikonen | Finland | 95 | Silver Medal |
| Mykola Tuzenko | Ukraine | 96 | Silver Medal |
| Bar Alon | Israel | 97 | Silver Medal |
| Xiao Heng Shawn Xu | Canada | 98 | Silver Medal |
| Manatuly Angsar | Kazakhstan | 99 | Silver Medal |
| Zhaoxi Michael Zhang | Canada | 100 | Silver Medal |
| Aleksandra Dimić | Serbia | 101 | Silver Medal |
| Marcel Ernst | Germany | 102 | Bronze Medal |
| David Field | United States of America | 103 | Bronze Medal |
| Stefano Paesani | Italy | 104 | Bronze Medal |
| Uglješa Stojanović | Serbia | 105 | Bronze Medal |
| Chew Kok Wei | Malaysia | 106 | Bronze Medal |
| Bob Wu | Australia | 107 | Bronze Medal |
| Andrew Hyer | United Kingdom | 108 | Bronze Medal |
| Alija Bevrnja | Bosnia and Herzegovina | 109 | Bronze Medal |
| Krzysztof Lis | Poland | 110 | Bronze Medal |
| Matei Ioniţă | Romania | 111 | Bronze Medal |
| Ştefan Ionuţ Bleşneag | Romania | 112 | Bronze Medal |
| Daniel Ciocîrlan | Romania | 113 | Bronze Medal |
| Wai Ho Tang | Hong Kong | 114 | Bronze Medal |
| Seung Hun Lee | Republic of Korea | 115 | Bronze Medal |
| Petr Čermák | Czech Republic | 116 | Bronze Medal |
| Aleksandar Sklyarov | Bulgaria | 117 | Bronze Medal |
| Tamás Hegedűs | Hungary | 118 | Bronze Medal |
| Ahmet Can Musabeyoğlu | Turkey | 119 | Bronze Medal |
| Ladislav Baco | Slovakia | 120 | Bronze Medal |
| Eemeli Tomberg | Finland | 121 | Bronze Medal |
| Rashadat Ismayilzada | Azerbaijan | 122 | Bronze Medal |
| Stephan Troyer | Austria | 123 | Bronze Medal |
| Yong Hyun Son | Republic of Korea | 124 | Bronze Medal |
| Aleksandar Vasiljković | Serbia | 125 | Bronze Medal |
| Michal Pacholski | Poland | 126 | Bronze Medal |
| Yury Ryzhykau | Belarus | 127 | Bronze Medal |
| Amir Raz | Israel | 128 | Bronze Medal |
| Atsushi Yamamura | Japan | 129 | Bronze Medal |
| Sopheak Sorn | Cambodia | 130 | Bronze Medal |
| Benoît Cadorel | France | 131 | Bronze Medal |
| David Venhoek | Netherlands | 132 | Bronze Medal |
| Ioana Alexandra Zelko | Romania | 133 | Bronze Medal |
| Hok Kan Tsang | Hong Kong | 134 | Bronze Medal |
| Borna Vukadinović | Croatia | 135 | Bronze Medal |
| Ali Mohammad Pazandeh | Islamic Republic of Iran | 136 | Bronze Medal |
| Chi Hua Franklin Yang | Canada | 137 | Bronze Medal |
| Farid Sattari | Islamic Republic of Iran | 138 | Bronze Medal |
| Yasura Gimhan Kossinhala Vithana | Sri Lanka | 139 | Bronze Medal |
| Sophie Marbach | France | 140 | Bronze Medal |
| Victor Anaskin | Russia | 141 | Bronze Medal |
| Rimas Trumpa | Lithuania | 142 | Bronze Medal |
| Bold Dorjpurev | Mongolia | 143 | Bronze Medal |
| Hoanh Dao Nguyen | Vietnam | 144 | Bronze Medal |
| Ayako Mano | Japan | 145 | Bronze Medal |
| Muhammet Poyraz | Turkey | 146 | Bronze Medal |
| Pouria Gharouni | Islamic Republic of Iran | 147 | Bronze Medal |
| Jenny Lu | United States of America | 148 | Bronze Medal |
| Jaan Toots | Estonia | 149 | Bronze Medal |
| Gustavo Haddad F.S. Braga | Brazil | 150 | Bronze Medal |
| Ryosuke Masuda | Japan | 151 | Bronze Medal |
| Muhametgeldy Annayev | Turkmenistan | 152 | Bronze Medal |
| Kristian Kirov | Bulgaria | 153 | Bronze Medal |
| Chi Tou Lam | Macau | 154 | Bronze Medal |
| Sanchar Sharma | India | 155 | Bronze Medal |
| Samet Balkan | Turkey | 156 | Bronze Medal |
| Miguel Carvajal | Cuba | 157 | Bronze Medal |
| Jezdimir Milošević | Serbia | 158 | Bronze Medal |
| Alexander London | Australia | 159 | Bronze Medal |
| Filipe Rodrigues de Almeida Lira | Brazil | 160 | Bronze Medal |
| Michal Miskiewicz | Poland | 161 | Bronze Medal |
| Péter Pálovics | Hungary | 162 | Bronze Medal |
| David Kell | United Kingdom | 163 | Bronze Medal |
| Matthew Donora | United Kingdom | 164 | Bronze Medal |
| Jakub Klemsa | Czech Republic | 165 | Bronze Medal |
| Sabi Teodosiev Teodosiev | Bulgaria | 166 | Bronze Medal |
| Robert Hagala | Norway | 167 | Bronze Medal |
| Mateusz Machalica | Poland | 168 | Bronze Medal |
| Grigol Peradze | Georgia | 169 | Bronze Medal |
| Rodrigo Andrade e Silva | Brazil | 170 | Bronze Medal |
| Erik Tamre | Estonia | 171 | Bronze Medal |
| Jordan Millar | Ireland | 172 | Bronze Medal |
| Simon De Ridder | Belgium | 173 | Bronze Medal |
| Ljudevit Palle | Croatia | 174 | Bronze Medal |
| Dušan Perović | Serbia | 175 | Bronze Medal |
| Yury Kharytanovich | Belarus | 176 | Bronze Medal |
| Emil Gustafsson | Finland | 177 | Bronze Medal |
| Chi Meng Wong | Macau | 178 | Bronze Medal |
| Bruno Schmitt Balthazar | Portugal | 179 | Bronze Medal |
| Nestor Andres Barrios Rey | Colombia | 180 | Bronze Medal |
| Vladas Jurkevičius | Lithuania | 181 | Bronze Medal |
| Andrew Kam | Australia | 182 | Bronze Medal |
| Marin Ferara | Slovenia | 183 | Bronze Medal |
| Justas Dauparas | Lithuania | 184 | Bronze Medal |
| Rodrigo Alencar | Brazil | 185 | Bronze Medal |
| Tisura Dasith Gamage | Sri Lanka | 186 | Bronze Medal |
| Laurence Yik Lok Leung | Hong Kong | 187 | Bronze Medal |
| Sigtryggur Hauksson | Iceland | 188 | Bronze Medal |
| Wai Meng Fong | Macau | 189 | Bronze Medal |
| Tong Seng Leong | Macau | 190 | Bronze Medal |
| Pavel Kos | Slovenia | 191 | Bronze Medal |
| Gonzalo Barbed Martin | Spain | 192 | Bronze Medal |
| Cassio Sousa | Brazil | 193 | Bronze Medal |
| Petr Ryšavý | Czech Republic | 194 | Bronze Medal |
| Thomas Van der Vorst | Belgium | 195 | Bronze Medal |
| Batkhuyag Batsaikhan | Mongolia | 196 | Bronze Medal |
| Momchil Molnar | Bulgaria | 197 | Bronze Medal |
| Juan Carlos Criado Alamo | Spain | 198 | Bronze Medal |
| Roland Matt | Estonia | 199 | Honourable Mention |
| Mark Wijnen | Netherlands | 200 | Honourable Mention |
| Kanwel Gamage Don Nisal Menuka | Sri Lanka | 201 | Honourable Mention |
| Teimuraz Gogoberidze | Georgia | 202 | Honourable Mention |
| Muhammad Abdur Rafae | Pakistan | 203 | Honourable Mention |
| Fedor Getman | Italy | 204 | Honourable Mention |
| Nurgazy Nazhimidinov | Kyrgyzstan | 205 | Honourable Mention |
| Amna Shahab | Pakistan | 206 | Honourable Mention |
| Dimitrios Matakias | Greece | 207 | Honourable Mention |
| Vepa Abdysetdarov | Turkmenistan | 208 | Honourable Mention |
| David Kleiven | Norway | 209 | Honourable Mention |
| Mark van Loon | Netherlands | 210 | Honourable Mention |
| Athanasios Karathanos | Greece | 211 | Honourable Mention |
| Martijn Goorden | Netherlands | 212 | Honourable Mention |
| Gudmundur Kari Stefansson | Iceland | 213 | Honourable Mention |
| Kert Pütsepp | Estonia | 214 | Honourable Mention |
| Miguel Vasquez Vega | Colombia | 215 | Honourable Mention |
| Alexei Zbirnea | Moldova | 216 | Honourable Mention |
| Mahdi Soleymani | Islamic Republic of Iran | 217 | Honourable Mention |
| Yui Sawa | Japan | 218 | Honourable Mention |
| Madeleine Barrow | Australia | 219 | Honourable Mention |
| Alessio Calzona | Italy | 220 | Honourable Mention |
| Gehr Timon | Switzerland | 221 | Honourable Mention |
| Miguel del Alamo Ruiz | Spain | 222 | Honourable Mention |
| Elena Shylko | Belarus | 223 | Honourable Mention |
| Khuslent Boldbaatar | Mongolia | 224 | Honourable Mention |
| Kristian Krogh Kristensen | Denmark | 225 | Honourable Mention |
| Hilary Hunt | Australia | 226 | Honourable Mention |
| Germán Gabriel Blesio | Argentina | 227 | Honourable Mention |
| Cristian Santiago Vega | Argentina | 228 | Honourable Mention |
| Philipp Heise | Austria | 229 | Honourable Mention |
| Aku Mustonen | Finland | 230 | Honourable Mention |
| Ny Vannat | Cambodia | 231 | Honourable Mention |
| Marko Jerčić | Croatia | 232 | Honourable Mention |
| Peter Koželj | Slovenia | 233 | Honourable Mention |
| Jacob Gade Koefoed | Denmark | 234 | Honourable Mention |
| Diego Medrano Jimenez | Spain | 235 | Honourable Mention |
| Kurmanbek Kaiyrbekov | Kyrgyzstan | 236 | Honourable Mention |
| Stefanos Marinos | Greece | 237 | Honourable Mention |
| Undralbat Enkhbayar | Mongolia | 238 | Honourable Mention |
| Mekan Allyyew | Turkmenistan | 239 | Honourable Mention |
| Sergejs Lukanihins | Latvia | 240 | Honourable Mention |
| Artūrs Znotiņš | Latvia | 241 | Honourable Mention |
| Andrei Tsishkovich | Belarus | 242 | Honourable Mention |
| Juan Manuel Vergara González | Mexico | 243 | Honourable Mention |
| Rolando La Placa | Puerto Rico | 244 | Honourable Mention |
| Mufaddal Abid Marvi | Pakistan | 245 | Honourable Mention |
| Giuseppe Capobianco | Switzerland | 246 | Honourable Mention |
| Diego Hernando Useche Reyes | Colombia | 247 | Honourable Mention |
| Levan Kankadze | Georgia | 248 | Honourable Mention |
| Mohamad Kamil Idris | Malaysia | 249 | Honourable Mention |
| Brandur Thorgrimsson | Iceland | 250 | Honourable Mention |
| David Nesbitt | Ireland | 251 | Honourable Mention |
| Juho Kahala | Finland | 252 | Honourable Mention |
| Martin Bucháček | Czech Republic | 253 | Honourable Mention |
| Andrej Hmelev | Latvia | 254 | Honourable Mention |
| Hayk Hakobyan | Armenia | 255 | Honourable Mention |
| Jorge Perez | Puerto Rico | 256 | Honourable Mention |
| Nishchal Raj Baral | Nepal | 257 | Honourable Mention |
| Mitja Zidar | Slovenia | 258 | Honourable Mention |
| Evangelos Chatziafratis | Greece | 259 | Honourable Mention |
| Sandily Rivera Gálvez | Mexico | 260 | Honourable Mention |
| Jesuoluwajoba Ebenezer Ademehin | Nigeria | 261 | Honourable Mention |
| Miltiadis Paschalis | Greece | 262 | Honourable Mention |
| Charles Hubain | Belgium | 263 | Honourable Mention |
| Mikala Ørsnes Jansen | Denmark | 264 | Honourable Mention |
| Arman Kohnić | Bosnia and Herzegovina | ≥265 | |
| Faruk Husremović | Bosnia and Herzegovina | ≥265 | |
| Petar Babić | Bosnia and Herzegovina | ≥265 | |
| Ahmed Bjelić | Bosnia and Herzegovina | ≥265 |
Results may be incomplete or incorrect.
Please send the relevant information to the webmaster:
<EMAIL_ADDRESS>If you are a participant you can send a personal page URL to be attached to your name.
If you are a participant you can send a personal page URL to be attached to your name.


This plugin lists all WiFi equipments of your Xiaomi Router
Having a Xiaomi router. Tested on a Xiaomi AC2100, but should be compatible with Mi Router 3 and Mi Router 4
There is no specific visual for this plugin.
Please type the IP address of your local router and the administrator password.
Please sélect the cron frequency.
From the management menu, add a widget. Select the desired equipment (it must be connected on your router).
Tha name and the mac address are set automatically.
Save to create the commands
Commands are automatically created:
V1.0


Final Exam | Solutions | Code (Eclipse project for testing your answers)
How do I find out my score? Like for the midterm, the scores have been released on Gradescope. Log in to Gradescope to see your score.
If you have questions about exactly what points you missed and why, please look over the grade and markings made by the grader, compare it with our answer key and Eclipse project, and then contact your Section Leader if you still have any questions.
How do I pick up my paper exam?  If you would like to see the paper exam, they will be available by appointment only the first week of Fall quarter (September 25 - October 1).
The statistics of the exam scores (out of 180, to the nearest whole number) were as follows:
Mean: 125
Median: 140
Standard Deviation: 47
Here is a histogram of the exam scores (out of 180):
We work hard to grade consistently and correctly, but sometimes we make mistakes in grading. If you believe part of your exam was incorrectly graded, please first download the Eclipse project linked to above and run your answer. This is the easiest way to test your code. If, after running your code, you still believe your grade is incorrect, submit a regrade request online using our CS 106A Final Exam Regrade Request form. Regrade requests need to point out the aspect of the problem that was correct, but for which points were taken off. We use a detailed rubric to grade exams, so simply requesting that an incorrect answer "should be worth more points" is not likely to result in additional points. You must also submit your typed Java code for the given problem (if applicable), and any other necessary code/content so that we can run and evaluate your code.
You must provide all the required information listed above and in the regrade request form in order for us to review your regrade request. Also, we reserve the right to re-grade the whole exam to make sure there are no other grading issues present - this may result in a lower total score.
All regrade requests must be submitted by 11:59PM PST on Sunday, October 1, 2017, which is 7 days after the start of the next quarter, Fall Quarter (Fall Quarter starts on September 25).
Practice Final Exam | Solution | Code
Practice Final Exam 2 | Solution | Code
Sample final exam(s) posted here are intended to be similar to the actual final. The number of problems and type of problems on the actual exam will be relatively similar to what is seen on these practice exams, though we do not promise that it will be exactly the same in length or in difficulty.
Section Handouts and CodeStepByStep lecture practice problems (on the schedule page) are also great ways to practice relevant material.
The logistics for the final exam are the same as for the midterm exam (except for the updated syntax reference sheet above); please see the midterm logistics section for more information.
The final focuses on material taught since the time of the midterm, including the following concepts listed below. However, programming is inherently cumulative in that new topics build upon old ones. So you may be asked to solve problems that involve, though not necessarily focus primarily upon, past topics such as strings, int, double, boolean, random numbers, loops, if/else, parameters, return, expressions, variables, constants, file input with Scanner, and so on. Note that you may be asked to read code (look at a piece of existing code and answer questions about it, such as writing its output) and/or write code (write a piece of code such as a method or short program that solves a given problem).
Pass-by-value vs. pass-by-reference: demonstrate your understanding of objects vs. primitive values (e.g. passing objects, primitives, or arrays as parameters)
GraphicsPrograms: write Java code to implement a graphics program with certain behavior using Stanford's libraries; this may include drawing shapes such as GRect, GOval, etc., animation, and/or handling mouse events. (Though this topic was covered before the midterm, Breakout, which gave practice with this, was due after the midterm)
Arrays: interpret/write code that uses a 1D array to solve a problem.
2D Arrays: interpret/write code that uses a 2D array (possibly from the pixels of a graphical image, possibly not) to solve a problem.
Collections: interpret/write code that uses the collections ArrayList
and/or HashMap
to solve a problem.
Objects and Classes: interpret/write a class and/or add behavior to an existing class.
Inheritance: interpret/write a class that extends another class, such as GCanvas.
Interactors: interpret/write a program that uses GUI components (buttons, labels, text fields) and events to produce a given behavior.
The following concepts will NOT be tested on the final:
Karel the Robot
Material from the "Life After CS 106A" lectures
Graphical shapes not used in lecture/section, such as GArc
and GPolygon
.
converting numbers to/from other bases, such as binary or hexadecimal
do
loops and the continue
statement (while
loops may be needed, though)
the switch
statement
static
methods or data (other than static final
constants)
throwing exceptions with the throw
statement
any Stanford library functionality not explicitly taught in class, section or homeworks
anything else not explicitly covered in lecture, section or homeworks
The recommended exam strategies for the final exam are the same as for the midterm; please see the midterm exam strategies section for more information.