|
DigitalOwl
|
Public Member Functions | |
| GroupService (IUnitOfWork unitOfWork, IMapper mapper) | |
| ctor More... | |
| async Task< DtoResponseResult< DtoGroup > > | CreateAsync (DtoGroup dto, int userId) |
| Create group. More... | |
| async Task< DtoResponseResult< IEnumerable< DtoGroup > > > | GetAll () |
| Find all groups. More... | |
| async Task< DtoResponseResult< DtoGroup > > | GetById (int id) |
| Find group of given id. More... | |
| async Task< DtoResponseResult< DtoGroup > > | UpdateAsync (DtoGroup dto, int userId) |
| Update particular group. More... | |
| async Task< DtoResponse > | Delete (int id) |
| Delete the group of given id. More... | |
| Public Member Functions inherited from DigitalOwl.Service.Services.Base.BaseService | |
| BaseService (IUnitOfWork unitOfWork, IMapper mapper) | |
Additional Inherited Members | |
| Protected Attributes inherited from DigitalOwl.Service.Services.Base.BaseService | |
| readonly IUnitOfWork | _unitOfWork |
| readonly IMapper | _mapper |
Group Service.
Definition at line 17 of file GroupService.cs.
| DigitalOwl.Service.Services.GroupService.GroupService | ( | IUnitOfWork | unitOfWork, |
| IMapper | mapper | ||
| ) |
| async Task<DtoResponseResult<DtoGroup> > DigitalOwl.Service.Services.GroupService.CreateAsync | ( | DtoGroup | dto, |
| int | userId | ||
| ) |
Create group.
| dto | Object to be created. |
| userId | Id of the user creating group. |
Implements DigitalOwl.Service.Interface.IGroupService.
Definition at line 34 of file GroupService.cs.
| async Task<DtoResponse> DigitalOwl.Service.Services.GroupService.Delete | ( | int | id | ) |
Delete the group of given id.
| id | Group id. |
Implements DigitalOwl.Service.Interface.IGroupService.
Definition at line 109 of file GroupService.cs.
| async Task<DtoResponseResult<IEnumerable<DtoGroup> > > DigitalOwl.Service.Services.GroupService.GetAll | ( | ) |
Find all groups.
Implements DigitalOwl.Service.Interface.IGroupService.
Definition at line 53 of file GroupService.cs.
| async Task<DtoResponseResult<DtoGroup> > DigitalOwl.Service.Services.GroupService.GetById | ( | int | id | ) |
Find group of given id.
| id | Id of requested group. |
Implements DigitalOwl.Service.Interface.IGroupService.
Definition at line 66 of file GroupService.cs.
| async Task<DtoResponseResult<DtoGroup> > DigitalOwl.Service.Services.GroupService.UpdateAsync | ( | DtoGroup | dto, |
| int | userId | ||
| ) |
Update particular group.
| dto | Updated version of an object. |
| userId | Id of the user updating group. |
Implements DigitalOwl.Service.Interface.IGroupService.
Definition at line 85 of file GroupService.cs.


|
||||||||||
| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | |||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |
java.lang.Object org.chromium.sdk.util.RelaySyncCallback
public class RelaySyncCallback
A utility class for handling SyncCallback
in chained asynchronous operations.
Whatever happens to each step of operation, SyncCallback
must be called once
in the end. RelaySyncCallback
wraps the SyncCallback
for the whole
multistep operation. It works in pair with RelaySyncCallback.Guard
class.
| Nested Class Summary | |
|---|---|
class |
RelaySyncCallback.Guard
Responsible for calling SyncCallback unless operation has been successfully relayed to the next step. |
| Constructor Summary | |
|---|---|
RelaySyncCallback(SyncCallback syncCallback)
|
| Method Summary | |
|---|---|
RelayOk |
finish()
Finish relay by calling SyncCallback . |
static RelayOk |
finish(SyncCallback syncCallback)
|
SyncCallback |
getUserSyncCallback()
|
RelaySyncCallback.Guard |
newGuard()
|
| Methods inherited from class java.lang.Object |
|---|
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
| Constructor Detail |
|---|
public RelaySyncCallback(SyncCallback syncCallback)
| Method Detail |
|---|
public RelaySyncCallback.Guard newGuard()
public SyncCallback getUserSyncCallback()
public RelayOk finish()
SyncCallback
.
public static RelayOk finish(SyncCallback syncCallback)
|
||||||||||
| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | |||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |


Xena Events
Form for registering for balloon riding event
Name:
Age:
Email:
City:
Rajkot
Vizag
Banglore
Register


Uploading and Updating the File List on CIX
Selected from the Upload flist button in the file list dialog.
Use this button to upload and update the moderator's file list on CIX.
The file list will be updated automatically if you have made any changes to the file directory (renaming or erasing files) that would cause the existing CIX copy to become invalid. If you have made any other changes to the file list and haven't used this command, Moderate will ask you if you want to upload and update the list when you switch topics or exit the file list editor.


Infromation Form
Firstname:
Lastname:
Address:
House number
Street
City
Province
Zipcode
Phone number(+662-xxx-xxx):
-
-
Cell phone number(+66-xxx-xxx):
-
-
Birthday(DD/MM/YYYY):
/
/
Birth Day of Week(ex. monday) :
Zodiac Sign(ex. leo):
Zodiac Year(ex. pig) :
save
cancel
submit
Firstname
Lastname
Address
Phone number
Cell Phone number
Birthday
Zodiac Sign
Zodiac Year


Find your way home. Adjust sliders to match your requirements and click 'Commit Search' to view areas of the country that match your criteria. As you zoom in, you may have to click 'Commit Search' again to view areas. Please allow a few seconds for loading time.
Close
Fine tune the sliders in each of the three categories below. Click 'Commit Search' to see which areas of the country are most suitable for you and your interests. Please allow some moments for loading/rendering of data.
Categories:
Overall Percentage:


Click a year to view financial reports for the period
No 2022-23 documents to display at present.
No 2021-22 documents to display at present.
No 2020-21 documents to display at present.
No 2019-20 documents to display at present.
No 2018-19 documents to display at present.
No 2017-18 documents to display at present.
No 2016-17 documents to display at present.
No 2015-16 documents to display at present.


Last week, we discussed how light can be thought to be made of particles with energy
where h is known as Planck's constant. The frequency f is the number of cycles per second that we would measure of a light wave. Note how strange this is. A property of the wave, the frequency, determines the energy of the light particle...
Planck's constant is a small number equal to
The photon is a fundamental particle just like the electron. As far as we know it has no substructure (it is not made of anything else). It is a fundamental particle of nature and it has the following properties:
To answer the next questions you may want to review energy in special relativity (since the photon moves at the speed of light, relativity is necessary) and electricity.
So light is made of particles called the photons. But as we have seen it is also an electromagnetic wave, which is a disturbance in the electromagnetic field. This was demonstrated in your first lab where you saw dark and bright fringes after light went through a double slit. These dark and bright fringes resulted from constructive and destructive interference which can only be explained using the principle of superposition that applies to waves!
So, how can we reconcile this dual nature of wave and particle?


|
Whoa.  Okay. You can also email us you know:
|
If you want, you can destroy your data with meteors. I wouldn't recomend this unless things had gone REALLY wrong with your save file integrity, though. And even then I'd still recomend you download a back up (try all the alts in case your browser hates one kind) (NOTE: IE seems to not let you download save back ups at all).
|


Graph Visualizer
Back
Visualizer TBA:
Filters: Choose which node to display (order > 10 only, ...), moveable nodes, custom icons (depending on the type of the node: router, computer)
Import option: Button to import custom JSON graph file
Choosing option: Dropdown list to choose which JSON file to display
Export option: Add export option: SVG/PNG/...
Customize option: Node/Edge colors, placement algorithm (ForceAtlas 2, Geographic map, OpenOrd, ...)
Shortest path realtime display: A* algorithm, Dijkstra, BFS, ...
Customizable graph option: Add node, remove node in real time
Refresh the graph in real time / restart ForceAtlas2 algorithm


A minor project on Automatic smart Greenhouse using the concept of Microcontrollers and sensors.
A major project on Delivery Drone with the concept of face recognition using raspberry pi.
Motivated and highly creative Bachelor of Engineering student adept at electronics and communication field. Extensive knowledge of many electronics software, simulation, networking and programming language and Frameworks. Excellent communication, planning and problem-solving abilities.
Download Resume


Box Fan Beef Jerky, Part 1
I realized this morning that I’m about six months late in changing my air conditioner filter. I was in Home Depot, and I thought, “You know what goes really well with air filters? Beef jerky!”
That’s right, I’m an unabashed Alton Brown fan. I saw this episode of Good Eats a few years ago, and I occasionally think, “Huh, I could do that.” Well, I bought three of the cheapest 20x20 filters and 1.5 pounds of flank steak, and got to work, following this recipe.
I placed the steak in the freezer while I did the prep work for the Cast Iron Skillet Pizza, then while that was in the oven I staged my Ingredients!
Worcestershire sauce, soy sauce, honey, pepper, onion powder, and ancho chile powder.
I mixed up the ingredients above in roughly the ratios called for in the recipe (I skipped the liquid smoke. Can’t stand liquid smoke), and set that aside. Then I got the meat out of the freezer and started slicing.
I cut the meat into thin strips, then cut the longer of those strips in half. Some of the strips were a little fat, so I cut them in half width-wise. Overall, I’d say I cut the meat into ½” strips.
After that, I put the meat into a gallon sized ziplock with the marinade, shook that up a good bit, and popped it in the fridge. Part 2 here.


Lakewood School District will ask voters to pass two levies
Two levies on February’s ballot would help pay for salaries, special education, security and more.
by Joseph ThompsonLAKEWOOD — Two measures in February’s special election will ask Lakewood residents to pick up school district costs where state money falls short.
The Lakewood School Board voted last week to run two levies on the ballot that would take effect as previously passed ones expire.
One levy covers education and program costs that aren’t met by state money. The revenue would go to salaries, special education resources, athletics, mental health and emotional support, clubs, a school resource officer and other programming and staff.
The other levy pays for upgrades to district computers, networks, security cameras and fencing.
Combined, they’d give the school district nearly $32 million over four years, according to district documents.
Superintendent Scott Peacock said the tax dollars would reasonably close the funding gap between state money and what it costs to run the district.
Residents would pay less for the levies than they did in 2018, Peacock said.
“Even though taxes are increasing in Lakewood, they’re still going to have the second-lowest collection rates they’ve had in 10 years,” he said.
A projected increase in land value allows the revenue from the tax to increase over time, despite lowering the rate.
The tax rate for the school operations levy decreases each year, from $2.17 per $1,000 of assessed property value in 2021 to $2.12 in 2024.
The technology levy sits at $0.27 per $1,000 of assessed value each of the four years.
The amount a school district can tax its residents has been up for debate in recent years.
In one of its 2016 levies, which passed with 54% support, the district asked voters for $3.18 per $1,000 of assessed value.
State lawmakers, in response to the McCleary decision, capped levies at $1.50 per $1,000 as part of efforts to create equitable education funding across the state.
In August, the Legislature voted to raise the levy lid for districts to $2.50 per $1,000 of assessed value, or $2,500 per student, whichever costs taxpayers less.
Changing levy lids are “kind of like adjusting a thermostat,” Peacock said.
“The Legislature is finding this was a little too hot and that was too cold,” he said. “Now, it’s a little bit closer to just right.
Peacock, who’s in his first year as superintendent, said he’s still learning the priorities of the school district he serves.
Expanding emotional and mental health resources for students is an early objective of his, he said.
“That is another piece that we step up and provide in our district for all our schools” he said. “Beyond the levy, we also have partnerships with organizations in the community like Compass Health, developing support for kids that are in our crisis.”
Joey Thompson:<PHONE_NUMBER><EMAIL_ADDRESS>. Twitter: @byjoeythompson .


Dear user,
below you will find a list of screenshots taken from the ProteoSign website, accompanied with a brief description. In some cases, additional helpful information can be found inside the corresponding page. For more details please refer to the article.
The ProteoSign Team.
below you will find a list of screenshots taken from the ProteoSign website, accompanied with a brief description. In some cases, additional helpful information can be found inside the corresponding page. For more details please refer to the article.
The ProteoSign Team.
Welcome page
Basic description of the platform. Clicking the Start button takes the user to the next page.Software input definition page
The first step of any data analysis: defining the input data set. The input can either be uploaded via the Upload file(s) button or, just for demonstration purposes, be selected from pre-uploaded files by clicking the choose hyperlink.
Data file format:
ProteoSign accepts Proteome Discoverer or MaxQuant output data. For the case of MaxQuant, one has to simply upload the automatically generated proteinGroups and evidence output files. For the case of Proteome Discoverer, the output required is a single file, but it is not automatically generated and thus has to be generated by the user. This process is described inside a pop-up dialog which shows up when the user hovers the mouse over the blue-colored question mark. For the sake of completeness, the content of that dialog, i.e. the description of the procedure, is shown below.Proteome Discoverer output file generation
The peptide spectrum match (PSM) file, comprising the necessary information required for protein quantitation, has to be produced manually through the PD desktop application (see the Export→To Text option under the File menu).The PSM file must be created from within a PD report which combines the information from all relevant MS analyses (i.e. replicates, conditions etc). Such a PD report is sometimes required to be created based on separate reports and is referred to as a multi-consensus report.
Before exporting the information, one must firstly disable peptide grouping (see relevant screen in Figure 1 on the right) and secondly edit the report's Quantification Method by configuring the Ratio Calculation parameters as shown in the relevant screen in Figure 2 on the right.
Pre-defined input dialog
By clicking the aforementioned hyperlink choose, a dialog shows up, listing the available demo data sets. The user can select a data set and click OK, as well as, for inspection purposes, download it by clicking Download.Software input definition page (continued)
Once the input is defined, the software performs a pre-processing step, where the data set is validated. If no error occurs, the user is taken to the next page (see below).Experimental design definition page
Here the user must define the experimental structure, i.e. which measurements belong to a certain biological or technical replicate. In a biological treatments-multiplexed proteomics experiment, the measurements/data for each biological or technical replicate, or chromatographic fraction, are contained in single raw file.
The table in this page lists the raw files generated in the experiment and the user must assign here the replicate information for every single one of them. In the figure on the right this assignment is automatically performed by the software since a demo data set was selected for analysis.Experimental design definition page (continued)
In the case of user-uploaded data (and not demo data), the figure on the right illustrates the replicate assignment procedure: the user first selects the table rows (i.e. raw files) and then types in the Experimental structure coordinate panel the corresponding biological and/or technical replicate.
Usage note: When multiple raw files are selected, if just the biological replicate is entered, the software will assume that the selected raw files are technical replicates of the entered biological replicate. If both the biological and technical replicates are entered, the software will assume that the selected raw files are fractions of the entered technical replicate.Experimental design definition page (continued): Label-free experiments
In the case of label-free data, the figures on the right illustrate the condition assignment procedure: the user first selects the table rows (i.e. raw files) and by right-click, selects Assign Condition from the popup menu, after which he is asked to either define new condition or choose one defined previously.Experimental parameters definition page
Here the user can enter some meta information regarding the experiment (Experiment ID and Experiment description) but most importantly choose the set of biological conditions/treatments to compare against each other. Typically all conditions are selected here via the Conditions to compare list. The advanced parameters section comprises options for filtering-out certain kinds of measurements. More details can be found by hovering the mouse over the question mark icon (at the actual page).
By clicking Submit the user initiates the statistical analysis.Advanced Options
In case more than one labels was used for the same condition (common in TMT experiments) the user can mark these labels and select Same Condition as illustrated on the picture by right-click. Afterwards, the user is asked to name the respective condition (e.g. Lung_ADC). The conditions that were labelled by more than one labels are always displayed in bold. In order to revert such a condition back to its original labels select Restore Conditions.Advanced Options (continued): Label swap
In the case of experiments where label swap is utilized, the user should declare the swap by pressing Label swap options... as shown on the figure. Then, from within the popup window titled Label Swap Assignment, the user should specify the biological and technical replicates involved as well as the labels swapped and press the Add button. The list on the top-right shows the relevant raw files and the list at the bottom the declared label swaps.Advanced Options (continued): Functional Enrichment analysis
ProteoSign applies a functional enrichment analysis for all differentially expressed proteins. Functional Enrichment is enabled by default, requiring the experiment's target organism name (or scientific name) to be typed into the respective text box. A list of suggestions will appear as the user starts typing in the box to help in submitting valid values.Statistical analysis wait page
Here the user waits for the software to finish the statistical analysis, while presented with current Nature Methods articles hyperlinks. When the analysis is finished, the user is navigated automatically to the next page (see below).Statistical analysis results preview page
Here the user can preview the analysis output in the form of representative key data plots. The button Next takes the user to the final page.Final page
Here the user can click on the proteosign.zip hyperlink to download the entire software output, comprising the aforementioned data plots, other diagnostic plots and various data tables in the form of text files (see below). Also, they can preview the results of the functional enrichment analysis in the form of a table. Each row corresponds to a protein function, double clicking on a function redirects the user to a web page with more information. Since the enrichment analysis is applies to each pair of conditions compared, the user can choose which condition-pair respective analysis to preview by selecting it from the drop down list.Sofware output files
The figure on the right shows the output files generated for the demo data set used throughout this Help page. The PDF files contain the aforementioned plots. For each of the text files, a brief description is provided below.Log file
This file is generated by the core statistical analysis R script and can be used by the software authors for troubleshooting in problematic cases.condition-i vs condition-j file
This table constitutes part of the core output of the statistical analysis software (LIMMA). For each protein, it shows:
Column A: the average log2 intensity across conditions and replicates.
Column Coef: the estimate of the log2-fold-change.
Column t: the moderated t-statistic.
Column p.value: the raw p-value corresponding to the t-statistic.
Column p.value.adj: the adjusted p-value.
Column F: the moderated F-statistic.
Column F.p.value: the p-value corresponding to the F-statistic.Blocking variable file
Indicates the technical replicates in the design matrix file (described below). This file is for diagnostic purposes only.Design matrix file
Table showing the contents of the design matrix. This file is for diagnostic purposes only.Contrasts matrix file
Specifies which comparisons between the linear model coefficients are of interest. This file is for diagnostic purposes only.Quantified proteins list file
Table listing the proteins quantified in each biological replicate. Can be used to construct a Venn diagram.LIMMA input file
Table showing the pre-processed data that were subjected to log-transformation and quantile-normalization before being sent for analysis to the core statistics software (LIMMA). This file is for diagnostic purposes only.LIMMA early input file
Table showing an early version of the data that were sent for analysis to the core statistics software (LIMMA). This file is for diagnostic purposes only.Identified proteins list file
Table listing the proteins identified in each biological replicate. Can be used to construct a Venn diagram.Results file
The statistical analysis main output file. For each protein, information about the expression ratio between conditions and its significance level are given.Top results file
A trimmed version of the aforementioned results file comprising only the statistically significant results (differentially expressed proteins).Plot_Generator.R file
An R script that produces all plots (getting the pre-computed data from the file Plot_Generator.RData contained in the same folder) so that the user can easily modify them.Pre-normalization intensities PDF file
Box plots of log2 protein intensities before quantile normalization for each replicate and condition.Post-normalization intensities PDF file
Box plots of log2 protein intensities after quantile normalization for each replicate and condition.Log2-fold change histogram PDF file
Histogram of Log2 protein intensity ratio.MA plot PDF file
Scatter plot of average log2 protein intensity ratio against average log2 intensity (also known as MA plot).Intensities scatter plot matrix PDF file
Scatter plots and linear regression lines, histograms, and R-squared values for each combination of replicate log2 protein intensity ratio.Value-ordered fold change PDF file
Plot of Protein number (ID) against log2 intensity ratio.Volcano plot PDF file
Plot of average log2 protein intensity ratio against -log10 p-value (also known as volcano plot) .Venn Diagrams
Venn Diagrams help in evluating the reproducibility of the experiment. ProteoSign creates 3 PDF files containg Venn diagrams. One showing the amount of quantified proteins accross the experiment's conditions, one accross its biological replicates and one across the technical replicates of each biological replicate.


HTTPResponseStatus
public enum HTTPResponseStatus
Meaningful values for some of the common HTTP response codes.
Note that not every HTTP code is represented here; those that aren’t
can be stored in the .Other
case.
-
The
200 OK
response code.Declaration
Swift
case ok
-
The
201 Created
response code.Declaration
Swift
case created
-
The
204 No Content
response code.Declaration
Swift
case noContent
-
The
400 Bad Request
response code.Declaration
Swift
case badRequest
-
The
401 Unauthorized
response code.Declaration
Swift
case unauthorized
-
The
404 Not Found
response code.Declaration
Swift
case notFound
-
The
409 Conflict
response code.Declaration
Swift
case conflict
-
The
410 Gone
response code.Declaration
Swift
case gone
-
The
422 Unprocessable Entity
response code.Declaration
Swift
case unprocessableEntity
-
The
502 Bad Gateway
response code.Declaration
Swift
case badGateway
-
Represents HTTP response codes not covered by the other cases.
Declaration
Swift
case other(Int)
-
The numeric HTTP status code.
Declaration
Swift
public var statusCode: Int
-
Initializes an
HTTPResponseStatus
to the value represented by the givenInt
.Declaration
Swift
public init(_ statusCode: Int)
Parameters
statusCode
The HTTP status code.
-
Indicates whether the receiver’s
responseCategory
is.Informational
.Declaration
Swift
public var isInformational: Bool
-
Indicates whether the receiver’s
responseCategory
is.Success
.Declaration
Swift
public var isSuccess: Bool
-
Indicates whether the receiver’s
responseCategory
is.Redirection
.Declaration
Swift
public var isRedirect: Bool
-
Indicates whether the receiver’s
responseCategory
is.ClientError
.Declaration
Swift
public var isClientError: Bool
-
Indicates whether the receiver’s
responseCategory
is.ServerError
.Declaration
Swift
public var isServerError: Bool
-
Indicates whether the receiver represents a
.ClientError
or.ServerError
.Declaration
Swift
public var isError: Bool


Student at Manav Rachna University,
Youtuber (Ye ORANGE Flame)
MY NAME IS Yogesh AND I'AM FROM FRIDABAD.I did my schooling From DAV Public School, Faridabad.Currently in MANAV RACHNA UNIVERSITY Faridabad.I love to Edit videos and for that I have a youtube channel named Ye Orange Flame where I put Comedy Content for the entertainment of people
| First Name | Yogesh |
| Last Name | Arora |
| Course | School/University | Result |
|---|---|---|
| Class10 | DAV Public School | 10 CGPA |
| Class12 | DAV Public School | 93.2% |
| Btech CSE | Manav Rachna University | Result not Declared |
| Compatition Participated | Result |
| IMO (2014/15) | Gold Medal |
| IMO (2017/18) | Gold Medal | iOEL (2017) | Gold Medal | Interschool Video Editing Contest | 3rd Prize |
| Languages Known | Java,C,C++,SQL,Python,HTML,HTML 5,Java Script etc |
| Qualities | Can handel workload,Hardworking,determinent,command over English&Hindi,familier with Gadgets,Techno Freak |
| Hobies | Video Editing,Photo Editing,designing | Currently Doing | Pursuing Btech in CSE from MRU |


Waiting to check your browser.
Checking your browser and Redirecting...
The waiting time will not exceed 5s.
Equity CDN Service
Using CDN / DDoS Defense services provided by Equity team


{{ "" | safeHTML }} This is the archived content of Global Azure Austria 2020. Looking for this year's event? Go to 2021
This is the archived content of Global Azure Austria 2020.
Go to 2021


Why customers choose store?
We are offering countless collection with affordable prices for the local stores craft products, to encourage our local community charities to sell their products online. Since many of them do not have the capital to start their own websites, in this way many charities will be able to display their products online.
Can you sell with us?
Of course, you can sell your products online through our website. If you have craft products and want to sell your products through us, please visit the sell with us page, where we will ask you for some information to fill out with the form, and then the product will be displayed with the details on the products page.
who are we?
We are software developers who decided to use our programming skills to help charities in our community to market their local goods through the Internet, which will help them find a stable source of income to develop their community businesses. If you are curious to know us personally you can visit our team page.


A dedicated front end web developer focusing on turning design mockups into vivid HTML and WordPress pages utilizing the power of jQuery. Constantly trying to learn new skills and technologies.
{{element.description}}
Master's Degree at Institute of Telecommunications