Post-parsing
AddressServiceSoap.class.php
AddressType.class.php
AdjustTaxRequest.class.php
AdjustTaxResult.class.php
ApplyPaymentRequest.class.php
ApplyPaymentResult.class.php
ATConfig.class.php
ATObject.class.php
AuditMessage.class.php
AvalaraSoapClient.class.php
AvaTaxBatchSvc.php
BaseResult.class.php
Batch.class.php
BatchDelete.class.php
BatchDeleteResponse.class.php
BatchFetch.class.php
BatchFetchResponse.class.php
BatchFetchResult.class.php
BatchFile.class.php
BatchFileDelete.class.php
BatchFileDeleteResponse.class.php
BatchFileFetch.class.php
BatchFileFetchResponse.class.php
BatchFileFetchResult.class.php
BatchFileSave.class.php
BatchFileSaveResponse.class.php
BatchFileSaveResult.class.php
BatchProcess.class.php
BatchProcessRequest.class.php
BatchProcessResponse.class.php
BatchProcessResult.class.php
BatchSave.class.php
BatchSaveResponse.class.php
BatchSaveResult.class.php
BatchSvc.class.php
BoundaryLevel.class.php
CancelCode.class.php
CancelTaxRequest.class.php
CancelTaxResult.class.php
Certificate.class.php
CertificateGetRequest.class.php
CertificateGetResult.class.php
CertificateImageGetRequest.class.php
CertificateImageGetResult.class.php
CertificateJurisdiction.class.php
CertificateRequest.class.php
CertificateRequestGetRequest.class.php
CertificateRequestGetResult.class.php
CertificateRequestInitiateRequest.class.php
CertificateRequestInitiateResult.class.php
CertificateRequestStage.class.php
CertificateRequestStatus.class.php
CertificateStatus.class.php
CertificateUsage.class.php
CommitTaxRequest.class.php
CommitTaxResult.class.php
CommunicationMode.class.php
Customer.class.php
CustomerSaveRequest.class.php
CustomerSaveResult.class.php
DeleteRequest.class.php
DeleteResult.class.php
DetailLevel.class.php
DocStatus.class.php
DocumentType.class.php
DynamicSoapClient.class.php
Enum.class.php
FetchRequest.class.php
FilterRequest.class.php
FilterResult.class.php
FormatType.class.php
GetTaxHistoryRequest.class.php
GetTaxHistoryResult.class.php
GetTaxRequest.class.php
GetTaxResult.class.php
IsAuthorized.class.php
IsAuthorizedResponse.class.php
IsAuthorizedResult.class.php
JurisdictionType.class.php
Line.class.php
Message.class.php
Ping.class.php
PingResponse.class.php
PingResult.class.php
PostTaxRequest.class.php
PostTaxResult.class.php
Profile.class.php
ReconcileTaxHistoryRequest.class.php
ReconcileTaxHistoryResult.class.php
RequestType.class.php
ReviewStatus.class.php
SearchTaxHistoryResult.class.php
ServiceMode.class.php
SeverityLevel.class.php
TaxDetail.class.php
TaxLine.class.php
TaxOverride.class.php
TaxOverrideType.class.php
TaxRequest.class.php
TaxServiceSoap.class.php
TaxType.class.php
TextCase.class.php
ValidAddress.class.php
ValidateRequest.class.php
ValidateResult.class.php
Post-parsing
Warnings:
Warning - Class CertificateImageGetResult in file C:\Svn\AvaTax\AvaTax\branches\11.2\SDKs\PHP\AvaTaxPHP\AvaTax4PHP\classes\AvaCert2Svc\CertificateImageGetResult.class.php has multiple possible parents named BaseResult. Cannot resolve name conflict,
try ignoring a file that contains the conflicting parent class
Warning - Class CertificateGetResult in file C:\Svn\AvaTax\AvaTax\branches\11.2\SDKs\PHP\AvaTaxPHP\AvaTax4PHP\classes\AvaCert2Svc\CertificateGetResult.class.php has multiple possible parents named BaseResult. Cannot resolve name conflict,
try ignoring a file that contains the conflicting parent class
Warning - Class CertificateRequestGetResult in file C:\Svn\AvaTax\AvaTax\branches\11.2\SDKs\PHP\AvaTaxPHP\AvaTax4PHP\classes\AvaCert2Svc\CertificateRequestGetResult.class.php has multiple possible parents named BaseResult. Cannot resolve name conflict,
try ignoring a file that contains the conflicting parent class
Warning - Class CertificateRequestInitiateResult in file C:\Svn\AvaTax\AvaTax\branches\11.2\SDKs\PHP\AvaTaxPHP\AvaTax4PHP\classes\AvaCert2Svc\CertificateRequestInitiateResult.class.php has multiple possible parents named BaseResult. Cannot resolve name conflict,
try ignoring a file that contains the conflicting parent class
Warning - Class BatchSvc parent SoapClient not found
Warning - Class CustomerSaveResult in file C:\Svn\AvaTax\AvaTax\branches\11.2\SDKs\PHP\AvaTaxPHP\AvaTax4PHP\classes\AvaCert2Svc\CustomerSaveResult.class.php has multiple possible parents named BaseResult. Cannot resolve name conflict,
try ignoring a file that contains the conflicting parent class
Warning - Class DynamicSoapClient parent SoapClient not found
Warning - Class ApplyPaymentResult in file C:\Svn\AvaTax\AvaTax\branches\11.2\SDKs\PHP\AvaTaxPHP\AvaTax4PHP\classes\ApplyPaymentResult.class.php has multiple possible parents named BaseResult. Cannot resolve name conflict,
try ignoring a file that contains the conflicting parent class
Address.class.php
Warnings:
Warning on line 32 - no @package tag was used in a DocBlock for file C:\Svn\AvaTax\AvaTax\branches\11.2\SDKs\PHP\AvaTaxPHP\AvaTax4PHP\classes\Address.class.php
AddressServiceSoap.class.php
Warnings:
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AddressType.class.php
Warnings:
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AdjustTaxRequest.class.php
Warnings:
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Errors:
Error on line 53 - Unclosed pre tag in DocBlock, parsing will be incorrect
AdjustTaxResult.class.php
Warnings:
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ApplyPaymentRequest.class.php
Warnings:
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ApplyPaymentResult.class.php
Warnings:
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ATConfig.class.php
Warnings:
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ATObject.class.php
Warnings:
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AuditMessage.class.php
Warnings:
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AvalaraSoapClient.class.php
Warnings:
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AvaTaxBatchSvc.php
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Errors:
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BaseResult.class.php
Warnings:
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Batch.class.php
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BatchDelete.class.php
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BatchDeleteResponse.class.php
Warnings:
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BatchFetch.class.php
Warnings:
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BatchFetchResponse.class.php
Warnings:
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BatchFetchResult.class.php
Warnings:
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BatchFile.class.php
Warnings:
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BatchFileDelete.class.php
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BatchFileDeleteResponse.class.php
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BatchFileFetch.class.php
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BatchFileFetchResponse.class.php
Warnings:
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BatchFileFetchResult.class.php
Warnings:
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BatchFileSave.class.php
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BatchFileSaveResponse.class.php
Warnings:
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BatchFileSaveResult.class.php
Warnings:
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BatchProcess.class.php
Warnings:
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BatchProcessRequest.class.php
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BatchProcessResponse.class.php
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BatchProcessResult.class.php
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BatchSave.class.php
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BatchSaveResponse.class.php
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BatchSaveResult.class.php
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BatchSvc.class.php
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BoundaryLevel.class.php
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CancelCode.class.php
Warnings:
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CancelTaxRequest.class.php
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CancelTaxResult.class.php
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Certificate.class.php
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CertificateGetRequest.class.php
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CertificateGetResult.class.php
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CertificateImageGetRequest.class.php
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CertificateImageGetResult.class.php
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CertificateJurisdiction.class.php
Warnings:
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CertificateRequest.class.php
Warnings:
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CertificateRequestGetRequest.class.php
Warnings:
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CertificateRequestGetResult.class.php
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CertificateRequestInitiateRequest.class.php
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CertificateRequestInitiateResult.class.php
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CertificateRequestStage.class.php
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CertificateRequestStatus.class.php
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CertificateStatus.class.php
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CertificateUsage.class.php
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CommitTaxRequest.class.php
Warnings:
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CommitTaxResult.class.php
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CommunicationMode.class.php
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Customer.class.php
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CustomerSaveRequest.class.php
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CustomerSaveResult.class.php
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DeleteRequest.class.php
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DeleteResult.class.php
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DetailLevel.class.php
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DocStatus.class.php
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DocumentType.class.php
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DynamicSoapClient.class.php
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Enum.class.php
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FetchRequest.class.php
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FilterRequest.class.php
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FormatType.class.php
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GetTaxHistoryRequest.class.php
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GetTaxHistoryResult.class.php
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GetTaxRequest.class.php
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IsAuthorized.class.php
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JurisdictionType.class.php
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This website will provide you with your akan name based on your date of birth.
Akan names is a naming system used in Ghana to give children their names according to the specific day they were born.
Feel free to enter your details below and you will get your akan name.


--- layout: post title: 'Maze Generation: Wilson''s algorithm' post_id: 15 categories: - under the hood date: 2011-01-20 07:15:00.000000000 -07:00 author: Jamis permalink: 2011/1/20/maze-generation-wilson-s-algorithm.html summary: > A second algorithm for generating uniform spanning trees is presented, with an animation and sample code ---
The last algorithm I mentioned, Aldous-Broder, was (if you’ll recall) originally devised as a way to generate uniform spanning trees (UST). (Review: a spanning tree is a tree that connects all the vertices of a graph. A uniform spanning tree is any one of the possible spanning trees of a graph, selected randomly and with equal probability.)
Aldous-Broder was effective, but inefficient. For this (the seventh!) article in my series on maze algorithms, I’ll focus on Wilson’s algorithm for selecting uniform spanning trees.
The algorithm goes something like this:
So, it’s still doing the random walk, but I think you’ll see that this algorithm converges much more rapidly than Aldous-Broder. It’s still annoying to watch an animation of the early stages of the process, but not nearly as bad as the other.
As before, here’s a simple example of the algorithm in action.
A 4×4 grid will suffice for this demo.
We begin by randomly adding a cell to the maze:
Then, we pick another unvisited cell at random and do a random walk until we encounter that first cell. Note that this random walk has a few constraints: although it can cross cells it has already walked (as long as they are not already in the maze), we don’t want to allow the final path to have any loops in it. Thus, we also record the direction most recently used to exit each cell, and will use those directions to form the final path once the walk encounters an “in” cell.
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Once we reach a cell that is already part of the maze, the walk terminates. The next phase simply goes back to the cell at the beginning of the walk, and follows the arrows, adding vertices and edges to the maze as we go, until we reach the final cell of the walk.
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All the other cells that were visited during the walk, but which did not make the “final cut”, as it were, are simply reset to “out”.
Now, we do it again. Notice that this time there are four cells in the maze, rather than just one, giving us many more targets for the walk to hit. This is what lets the algorithm converge more rapidly than Aldous-Broder: each pass through the algorithm increases the odds that the next pass will terminate sooner.
Here we go, another pass. I’m going to “cheat” and let this one consume more cells than it might (probabalistically) do otherwise. Just to keep the article shorter. :)
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Then we walk the path and add the vertices and edges to the maze, again:
By now you should be able to see the pattern emerging. Each pass would add another random “branch” to the tree, proceeding until all cells have been added to the maze.
Try the following demos if you’d like to see an animation of the algorithm in action, or step through it more carefully:
Personally, I found Wilson’s algorithm to be one of the messiest to implement, mostly due to the necessity of keeping track of directions while doing the random walk. I’m sure there are cleaner ways to implement this. Yes, that is a challenge! (Admittedly, some of the complexity of my implementation is due to it trying to animate the algorithm; feel free to simplify your own attempt.)
The algorithm begins by setting a random cell as “in”, and recording how many cells still remain outside:
1 2 |
grid[rand(height)][rand(width)] = IN remaining = width * height - 1 |
Then, I simply loop until there are no more cells that are outside the maze:
1 2 3 |
while remaining > 0 # ... end |
Within the loop, the random walk is performed. For now, I’m going to wave my hands and we’ll move on, but I’ll describe the walk
method more closely in a bit. It returns the path that was taken as an array of (x, y, direction) tuples:
1 2 3 |
walk(grid).each do |x, y, dir| # ... end |
For each cell in the random walk, we add it to the maze (by applying the given direction bit to each cell in the path), and then decrement the number of remaining cells:
1 2 3 4 5 6 |
nx, ny = x + DX[dir], y + DY[dir] grid[y][x] |= dir grid[ny][nx] |= OPPOSITE[dir] remaining -= 1 |
Now, the walk
method itself is the messy bit. It begins by looping until a random cell is selected that is not in the maze:
1 2 3 4 5 6 7 8 |
def walk(grid) loop do cx, cy = rand(grid[0].length), rand(grid.length) next if grid[cy][cx] != 0 # ... end end |
Once a starting point is found, I initialize a hash of visited cells (where I will record both the coordinates of each cell in the walk, as well as the direction last used to exit the cell). And then I start walking:
1 2 3 4 5 6 7 8 |
visits = { [cx, cy] => 0 } start_x, start_y = cx, cy # where the random walk started walking = true while walking # ... end |
Now, inside the walking loop, I first set walking
to false (since I’m going to be optimistic and assume that the next move will hit an “in” cell). Then, I look at a randomized list of directions:
1 2 3 4 |
walking = false # cross fingers! [N,S,E,W].shuffle.each do |dir| # ... end |
For each direction in the randomized list, we’ll compute the neighbor in that direction and then check that the neighbor is actually a valid cell (within the boundaries of the grid):
1 2 3 4 |
nx, ny = cx + DX[dir], cy + DY[dir] if nx >= 0 && ny >= 0 && ny < grid.length && nx < grid[ny].length # ... end |
Once a valid neighbor is found, we immediately record that direction as the exit vector from the current cell.
visits[[cx, cy]] = dir |
Then, if the neighbor cell is already in the maze, we get to break out of the loop (because we’ve finished the walk). Otherwise, we set the neighbor to be our current cell, and we continue walking:
1 2 3 4 5 6 7 |
if grid[ny][nx] != 0 break else cx, cy = nx, ny walking = true break end |
Once we’re done walking, we still need to convert the visits
hash to a valid path, which we’ll return. I do this by following the visits from the start cell, through the direction used to exit visited cell, until the path ends:
1 2 3 4 5 6 7 |
path = [] x, y = start_x, start_y loop do dir = visits[[x, y]] or break path << [x, y, dir] x, y = x + DX[dir], y + DY[dir] end |
Finally, we return the path, which the top-level loop uses to add the cells to the maze:
return path |
Whew!
Wilson’s is still not a very efficient algorithm: on large grids, the first walk can be excruciatingly slow. However, it’s much nicer than Aldous-Broder, and is still guaranteed to return a uniform spanning tree.
I’m sure any of you could do a better job implementing this than I’ve presented here. In fact, I’d love for you to prove it. :) Give it a try and link to your implementations in the comments!
For reference, the complete source for my own (Ruby) implementation is here:
Enjoy!


3,433 URLs Blocked in 2019, IT Minister Informs Lok Sabha
There's no plan to link Aadhaar with social media accounts, minister Ravi Shankar Prasad said in a written reply.
New Delhi: A total of 3,433 URLs have been blocked in 2019, registering the highest number in the past few years, IT minister Ravi Shankar Prasad informed the Lok Sabha in a written reply. The number was 633 in 2016, 1,385 in 2017, 2,799 in 2018.Under Section 69A of the Information Technology Act, 2000, the government has the right to block accounts, he said.
AIMIM leader Asauddin Owaisi asked the Union Minister on the cyberattack by an Israeli spyware Pegasus targetting Indian journalists and human rights activists using WhatsApp. Prasad replied that the government has taken cognizance of the fact that spyware tried to attack the phones of 121 people of India, adding that it is committed to the Right to Privacy of its citizens.
Aadhaar is secure, the minister said adding that there is no proposal to connect it to social media accounts.
On Whatsapp snooping row, the minister said that the government has asked WhatsApp to explain about the Israeli spyware Pegasus attack on its users using its platform. WhatsApp then updated Cert-In that the full impact of this attack could not be known. It also reported that there was a possibility that it tried to reach 121 people. “We asked WhatsApp to provide a detailed report. We are bringing a bill for the private data security of citizens,” Prasad added.
For breaking news and live news updates, like us on Facebook or follow us on Twitter and Instagram. Read more on India Latest News on India.com.
Story Timeline
- 16 Nov 2019 Aadhaar May Soon be Linked With Your Property to Curb 'Benami' Transactions
- 03 Nov 2019 Ravi Shankar Prasad Asks BSNL/MTNL to Start Dialogue With Staff on VRS
- 01 Nov 2019 We Will Not Impose Uniform Civil Code on Anyone Without Discussion: Ravi Shankar Prasad
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description = "Displays upcoming stay & plays on home page" [builderList] modelClass = "JakeFeeley\PlayYorkshire\Models\StayPlay" scope = "-" scopeValue = "{{ :scope }}" displayColumn = "name" noRecordsMessage = "No records found" detailsPage = "-" detailsUrlParameter = "id" pageNumber = "{{ :page }}" ==
Discover upcoming Stay & Play events around Yorkshire


Editing Your Tilia Data File¶
We are going to walk through the process of generating a Tilia record for your dataset in a way that is (at least to us) intuitive. This is not neccessarily the way that Tilia is set up by default. At any time you can navigate to a particular section through the sidebar. This set of instructions assumed that you have started a new file and loaded the appropriate lookup tables.
Overview of data entry process¶
Data entry through Tilia is an iterative process. For most datasets, it is easiest to start with the Data tab to enter the primary data (taxon names and counts at different depths/analysis units), then fill in the associated Metadata, then return to the Data tab to add contextual information. For some types of data, it is helpful to enter Specimen-level data early in the process, because they can then be easily linked to associated data such as radiocarbon dates (in the Geochronology tab) and Isotopes.
Data Tab¶
Entering New Data¶
Adding information on the depths/analysis units¶
Starting from a blank Data tab we can fill in some basic information about the individual analysis units from which you have counted or identified material. In some cases, Analysis Units are stored solely as depths, and in other cases they are stored solely by Analysis Unit names (i.e., many vertebrate data have names such as “Stratum 1” or “Level 10” or “East unit”). Both types of data can be entered as well. If your data has depths then these should be entered along the very top row (Row 1), starting with Column H. If your data has Analysis Unit names, these can be entered in Row 2, starting with Column H.
Quite a bit of additional information that describes the Analysis Units can be added if desired. This information is typically entered starting in Row 3. The process for entering these data is described below in “Annotating the Data”
Adding taxa¶
Taxon names should be entered in the ‘Name’ column (column B). If the appropriate lookup files have been loaded, starting to type will pull out a list of taxa and show you which taxonomic names match your entry. If the taxon is already in the database, selecting that taxon will autofill the Code (Column A) and Group (Column G) columns.
Then fill in the appropriate information for Columns C-F. + Double click cell and it should turn white with a down arrow on the right + Clicking the arrow should show a drop down menu from which to choose the appropriate information. + The most important information to add here is information on the Element and Units.
Adding data values¶
Once the backbone of the spreadsheet is started, values (counts, presence/absence, etc) can be entered. Note that the values will be interpreted in the context of the taxon, element, and units. Thus, you could have two rows associated with the same taxon, and one row is associated with the NISP value for that taxon at each Analysis Unit and the other row is associated with the MNI value for that taxon at each Analysis Unit.
Copying data from an Existing Spreadsheet¶
Note that data can be copied and pasted from a local spreadsheet (ie, excel or csv files) into the Data tab. Thus, if you have a list of taxonomic names, or a full spreadsheet of data arranged in the same format as the Tilia Data tab, you should be able to paste in the full dataset.
First, make sure the Depths or Analysis Unit names have been added. If depths are available, add them (midpoints, generally) to the first row, above the relevant named analysis unit.
If known, you can add the analyst too (e.g., if different people identified different strata within the deposit). To do this, add another row below thickness using the same procedure as above, adding Metadata → Sample Analyst. Then, go to the cell below the first analysis unit, regular click in the cell, and add the relevant contacts from the Contacts Tab. Once you’ve added the first cell, you can then copy and paste to other analysis units.
Next fill in the taxa list, starting directly below the header metadata. First fill out the Name column using the automatic pull down menu to select the taxon. This will automatically fill out the Code column and the Group column for you.
- Element
the type of element representing that taxon. Typical faunal elements are bones, teeth, scales, and other hard body parts. Bone and tooth elements may be specifically identified (e.g. «tibia» or even more precisely «tibia, distal, left», «M2, lower, left»). Use the pull down menu.
- Units
choose the appropriate unit that the data represent. If you have more than one unit type (e.g. Present/Absent, MNI and NISP), add a second row for that taxon and include data for the second unit type.
- Context
add if known
- Taphonomy
add if known
- Data
Fill in the appropriate values for each cell, e.g., 1s or 0s if entering presence/absence data, or integer values if entering NISP or MNI
Adding Specimen Data¶
Once the assemblage data have been entered, you can then add any desired information on individual specimens. Specimen data can be associated with any value for Units.
To add specimens: + Click once on the cell where you want to add specimen information so that the cell has a black outline on it + Right click and select the “Specimens” option + This will open up a new popup on your screen where you will fill out the specimen data
Within the Specimens popup, some information will have associated structured values available through a drop-down menu and others will require manual entry. You can double click each to find out if there is a drop down menu or if you have to manually input your information. For example, “Element” cells have a drop down list of options, while “SpecID” is manually filled in.
Some cells cannot be filled in unless data has been entered into another cell first. The basic information needed is Spec ID. This is the analyst ID, however you wish to define it. This is the name that will appear in other tabs of the file (such as Geochronology or Isotopes). Any formal Specimen ID information can be added through Spec Nr and is expected to be associated with the selected Repository. As another example, “Element” must be filled in before NISP can be filled in.
Editing Your Metadata¶
In general, it’s easiest to start editing your collection information starting with the Metadata tab. If you happen to be entering multiple datasets for the same site (or study) you can enter the Metadata, and then save the file (without entering any data) so it serves as a template for each subsequent dataset. This helps speed up the process of generating Tilia files, particularly for large studies or multiproxy analyses.
Metadata editing requires information to be entered on the following subtabs:
These tabs are generally arranged in the order of importance as far as a data user might be concerned, but for data entry it often makes sense to start by adding publication & contact information first. This information is used throughout the Tilia file, so it makes sense to enter it first. From here, the rest of the information can be added in any order you wish (and you can navigate to them using the sidebar, or here). For complex records, where you might find yourself writing multiple Tilia files, e.g., when you have multiple collection units or datasets from an individual site, it makes sense to fill in the Publication, Contacts & Site data and save the file as a template. If you have common Chronology information across datasets (for example, a pollen & ostrocode record), then fill in those fields and save the file as a template. This is why it is often helpful to fill in the Metadata first.
Publications Tab¶
The publications tab is where publication data associated with the record will be stored. This data goes into Neotoma (and may already be stored in Neotoma) as part of the record, but is also stored apart from the collection record.
To add a new record click New. Then click on the packrat to check if the publication already exists in the Neotoma database. The easiest way to do this is enter in the author’s last name as a wildcard search. If an appropriate reference shows up, click the reference and then click Use. If not, click Cancel. Choose whether the publication is a journal, book chapter, etc. Then fill in the appropriate fields. Filling in author’s data will also enter data into contacts as well.
Note that if you are adding records via Tilia on a Mac, Tilia freezes when entering new publications. So save often, and perhaps do this step from a PC.
Contacts Tab¶
Contacts are all individuals related to the record. This includes the individuals who produced & published the record, but also the individuals who assisted in the preparation of chronologies, or in the submission of the data.
Contacts can (and likely will) be entered as you enter data into the other tabs. You don’t need to enter information in all at once, but you will need to link to individual contacts from a number of tabs (for example the Chronology Tab). If you need to enter a Contact directly, follow the directions below:
First, check to confirm that contact information from the publications tab was entered correctly. Remember, contacts include the authors of the published paper you are entering, yourself (the data enterer), collector(s) and individuals associated with content including the chronology. Contact information for publicaiton authors will have been inserted when entering data in the Publications Tab.
To add a new contact click the green + at the bottom of the window. This should create an empty contact field. Neotoma contains a number of pre-existing contacts, so it’s always best-practice to first search for an individual first. To do this, enter the individual’s family name and then click the Neotoma icon at the end of the field. A new screen will appear. In the search box enter the family name and click the binoculars. If the correct contact is found and all data is up-to-date, click Match and it will be added to the Contacts Tab. If the contact info needs to be updated, click the blue arrow and add any additional information. Then click Update Contact.
If there is not a contact in the database, press OK and then press the blue arrow to transfer the family name from the Tilia Contact to the Neotoma Contact. Fill in any data you can in the Neotoma Contact. Leading initials are the initials of the first and middle names with a period after them. Phone numbers should be entered in the following format: +1-XXX-XXX-XXXX. When all data is entered click Upload Contact.
Site Tab¶
The Site Tab provides important information about the site and geographic context of the collection you are submitting. Be sure to be as accurate as possible. If you don’t have accurate Latitude/Longitude available it is possible to obtain these values using the Google Maps button, which will provide a map based interface with which to select a location.
- Site Name
Use the common name or most popular name used from the publication. Check Neotoma to make sure this name doesn’t already exist.
- First Geopolitical Division
Country the site is in.
- Second Geopolitical Division
State the site is in.
- Third Geopolitical Division
County the site is in.
- Administrative Unit
Site is in private, state, federal, etc. land.
- Latitude/Longitude
For exact locations, click “Point”. Enter in latitude and longitude. You will have the option to enter in either the decimal, degree or combination of decimal and degree. Enter data as decimals. Click the “Fuzzy” option if you don’t want the exact location of the site made publicly available and choose the radius of the range. If the general locality is unclear, click “Box” and fill in the four coordinate points. Hit OK. To add a bounding box directly from map view, click the google maps icon. A new tab named “Site Locator” will open. Select the “Box” button and N, E, S, W orientations will appear. Select one of the orientation buttons at a time, and click around the pin dropped on the map, to create the perimeter of the bounding box. Doing so will set the north and south latitudes equal and the east and west longitudes equal.
- Site Description
Enter in any additional information that describes the general description of the location.
- Site Notes
Enter in any additional notes about the locality that may clear up any confusion, such as abbreviations, or changes in the site’s historical naming. Many lakes (for example) have unique identifiers as part of their management by local or regional authorities. These, along with the latitude and longitude can help clarify uncertain naming.
Collection Unit Tab¶
- Handle
Create a unique handle name in all caps. This should be 4-10 letters long.
- Collection Unit Type
This is the type of collection you are recording. For mammals, the most common choices will be Excavation, Isolated Specimen, Animal Midden, Surface Float, Midden. For pollen you might select “Core” or “Modern”
- Collection Unit Name
If there are multiple collections from the same locality it is important to identify them uniquely. The name should be descriptive of the particular collection (e.g. collection number).
- Collection Device/Location in Site
These fields are for collections that use particular field techniques, for example coring devices or other extractive tools.
- Collectors
If you have entered these individuals from the Contacts Tab then you will be able to select the individuals from the dropdown menu. If an individual is not selected then navigate to the Contacts Tab to add them. It is best to add all individuals involved in the collection, not just the individuals listed in associated publications.
- Date Collected
Record the most accurate date provided. If only the year is known, use January 1st. If only the month and year are known, use the 1st.
- Depositional Environment
This will most likely be under terrestrial, so click the arrow next to terrestrial to get more options and search and then click on the appropriate subcategory to get more options.
- Substrate
If known use the arrows to get more options and click the appropriate category.
- Collection Unit Notes
Any additional information about this specific collection that would be useful to other researchers. (e.g. notes on how the unit was collected, when the unit was collected, etc.)
- Slope Angle
Can be obtained in the field. If unknown then leave the field blank.
- Slope Aspect
Can be obtained in the field. If unknown then leave the field blank.
- Water Depth
Can be obtained in the field. If unknown then leave the field blank.
Dataset Tab¶
- Dataset Type
Vertebrate fauna.
- Dataset Name
Unique name to this faunal list (not always necessary to fill out).
- Investigators
Who is responsible for the dataset, often but not always the author(s) of the published paper. This information should be available in the Contacts Tab edited earlier.
- Publications
Full publication record. Choose the appropriate publications associated with this locality. In general these should have been entered as part of data entry in the Publications Tab. If they have not been, navigate to the Publications Tab and enter this information.
- Repository
The museum or institution that houses the collection. If there are repositories that are not currently listed in the drop-down menu contact the Neotoma Paleoecological Database.
- Dataset Notes
Any additional notes regarding the dataset, including the locality number for the repository institution (e.g. UCMP V35864).
- Data Processors
The person who enters the data into the database.
- Spatial Extent
Don’t worry about this box, it’s mainly relevant to aggregate dataset. But if you want to add something, for most cases click Single Stratigraphic. Unclick box if the top sample is not modern surface sample.
Geochronology Tab¶
The Geochronology tab is central to generating the chronologies for your record. It becomes linked to the Contacts Tab and to the Chronology Tab. The tab contains all geochronological records used for chronology construction. In pracitice most Neotoma records include geochronological data, but this is not always the case.
First, at the top add the Investigator name and any notes. Then there is the option to click Depth or Analysis Unit. If the site has individually dated layers with depth and thickness data, then choose Depth. If the site is an assemblage, choose Analysis Unit. Since you have added this information into the Data tab, it should be automatically linked (at least the Analysis Unit info). Click the green + button at the bottom to add a new record, or just start typing in row 1.
- Method
Use the drop down menu to choose the appropriate dating method. This will be Carbon-14 in the majority of cases.
- Age Units
Use the drop down menu.
- Depth
Depth of the unit that is dated. Optional depth of the Analysis Unit in cm. Depths will typically be designated for Analysis Units from cores and for Analysis Units excavated in arbitrary (e.g. 10 cm) levels.
- Thickness
The thickness of the dated unit.
- Analysis Unit
This will most likely be an assemblage.
- Lab Number
The lab number of that sample.
- Age
The raw age of the sample.
- SD
The standard deviation of the raw age.
- Params
Click on the empty cell and a drop down box will appear. Click in the cell to the right of Methods and choose a dating method (e.g. accelerator mass spectrometry).
- Material Dated
What kind of material was dated (free-form text entry)
- Publication
Choose the publication from the drop down menu. (This should appear after entering the contact information.)
Click the green Check mark to post your edits once you’re done. The row you’ve just edited will get pushed down below the header. You’re not done quite yet. There’s still more information to add.
Once the record gets added to the Geochronology for the collection, you can add more information to the record. To do this, click the “+” tab at the front of the row. A sub-row will appear.
- ID
This will fill in automatically. Leave it blank.
- Taxon
The taxon name for organic elements.
- Element
Use the pull down menu to select the element that was dated. This is defined in part by the `Lookup Table`_ you’ve decided to use.
- Fraction
Use the pull down menu to select how the element/specimen was prepped for dating. There are a pre-defined set of terms for use, including “Unknown”, but you can also add your own terms if the available terms aren’t appropriate.
- Cal Age Older/Younger
These are the calibrated dates for the samples. You have two options here:
Enter the calibrated ages by hand if they are provided in the paper (or you’re handy with an Intcal table)
Calibrate ages using Tilia. To do this, click Tools in the menu bar and then Calibrate. In the new menu put in the age of the sample and the standard deviation and press Go. This will automatically provide an older and younger calibrated age.
- Cal Curve
This is the calibration curve used to generate the calibrated dates. If you used Tilia to calculate the date this will be Intcal13. If you used something else to calibrate the age (or if it was provided from a publication), choose the appropriate calibration curve from the drop down menu.
- Cal Program
Choose the calibration program that was used to generate the calibrated date.
Click the green check at the bottom to post the changes.
If you have more than one dated sample for this geochronology element, click the green + at the bottom of the page and add a second record. Continue process until all samples are recorded.
Chronology Tab¶
The Chronology tab is separate from the Geochronology Tab. Geochronology stores information about dated samples based on radiometric or similar geochronological methods, while Chronology stores the key metadata for a given age model. As part of this metadata, Chronology stores all of the age controls used as constraints for an age model. This list can include some, none, or all of the radiometric dates stored in Geochronology, and also can include non-radiometric age controls (such as a core-top in a sediment core, a biostratigraphic event of known age, etc). This design may seem a little odd at first, but it serves the very useful function of allowing a lot of user flexibility in putting together age models.
To get started, open the “Chronologies” tab and click within the white bar containing the text “Click here to add a new row”.
You will see that the solid bar becomes divided into cells when you click. For each cell fill in the appropriate information:
- Name
A name for the chronology. Give the Chronology a descriptive name (it’s a good rule of thumb not to just use “linear” or “Bacon” since you might make multiple models using the same method).
- Age Units
The chronology age units. This is a drop-down selection & does not permit multiple selections.
- Default
If you have only one model click the “Default” box. Otherwise, if you have multiple models, decide which model will be the default. This decision is important. Once the data goes up to Neotoma the default model will be the one used in searches and to display the data. Only one record can be the Default.
- Age Model
The “Age Model” cell is where you will describe the model used, for example “clam - linear”.
- Older/Younger Bound
The oldest & youngest ages of the model (used for searching). Be careful here. In a bootstrapped or Bayesian model it is possible to get estimates that are well beyond the range of acceptable values, particularly if you extrapolate below dated material. Generally, the protocol is that the Older Bound is rounded up to the nearest 10 years and the Younger Bound is rounded down, e.g. if the sample age bounds are -44 to 10773, the Older Bound would be 10780 and the Younger Bound would be -50.
- Preparers
These are obtained from the Contacts Tab list. If the Preparer is not already in that list then it is best to fill them in and then continue with the chronology tab. (NOTE: read below first)
- Date Prepared
When did you generate the age model? This drop down menu provides a calendar, which is a nice touch.
- Notes
For more complex models including Bacon it is standard protocol to copy the settings into this field. Otherwise this is a “free-form” cell.
Once the fields have been filled, click the tiny “+” sign at the bottom of the window.
This adds the entered data into the Chronology tray, allowing us to associate more data with the record. Now we need to associate Geochronological data with the Chronology we’ve just created. To begin this, we need to add the data from the Geochronology Tab to our chronology. To do this we expand the Chronology we just created. We do this by clicking the “+” sign at the beginning of the row (in the figure below).
Once you’ve clicked the “+” button you’ll see a new spreadsheet. By clicking into the spreadsheet you will cause new buttons to appear under the Metadata Tabs. The buttons say “Link”, “Import” and “Export”. If you’ve already entered the Geochronological data into the metadata table, all you need to do is click “Import”. A new window will appear (below). Select the appropriate values.
In general it makes sense to use the defaults unless there is a very good reason to do so.
At this point you can enter any extra (non-geochron) dates that you may have used in generating your age model. The idea here is that this table will reflect the input data used to generate your age model. For example, to add a “Core Top” date enter data in the top row, and then select Age Basis > “Stratigraphic” > Core Top. You’ll see a number of options under these fields.
In cases where you are being proactive (congratulations!) and entering your data before you’ve built your age model, you may have enough information to construct a proper chronology, which allows you to estimate the ages of undated depths. If you want to use Bacon or Clam to build your chronology then you can click the Export button at the top of the Chronologies worksheet.
This will save the appropriate csv
file for Bacon or Clam (in this case, make sure you have dates entered in the Data Tab). You can then build your age model using R and import the age model back into your record (discussed in the Data Tab section).
If you do use Bacon or Clam to generate your interpolated chronology then remember to copy your settings
file into the Notes field. This will allow people to replicate your results.
Annotating the Data¶
In some cases, analysts may want to add extra data that describes the Analysis Units. The most typical type of data to add is information about the ages associated with each depth (see below), but other forms of metadata can be added such as analysis unit thicknesses or sample analyst.
To add, e.g., analysis unit thickness, add a blank row UNDER the Analysis Unit name (ie, in row 3). To do this, hover your mouse over cell A3, then right click in the top left cell of that row, and select Metadata → Analysis Unit → Thickness. You will see that a new row has been added, with an associated code and name for the variable. You can then proceed to enter values for analysis unit thickness starting at Column H.
Adding the Chronology¶
Once the age model information is added to the Chronology table, navigate back to the Data tab. Here we can import the dates for the model. There are two options. If you want Tilia to build the model for you you can select Tools > Chronology. If you’ve built the model yourself using Bacon or Clam then you can import the output file directly using Tools > Import Chronology > Bacon/Clam. If you have a record for which the age model is entirely made up of directly dated objects (or absolutely dated records) where the Chronology tab sheet is equivalent to the actual depths/records in the Data sheet then it is possible to directly import the Chronology Tab Sheet using Tools > Import Chronology > Chronologies Tabsheet.
To add the chronology from Bacon or Clam that you have already created, Go to Tools > Import Chronology > Bacon/Clam. Your Chronologies have numbers associated with them in the Chronologies Tab. Make sure you’re using the right Chronology number. Bacon and Clam have different options, but you should choose the right file and the age values that make the most sense to you.
Once you click OK, navigate to the appropriate file and click okay. The chronology will be added to the Data tab.
Common Issues: I’ve imported my chronology, but the ages don’t appear in the Data spreadsheet!
The usual cause of this error is a misalignment between the depths of samples in Tilia’s Data spreadsheet and the depths listed in _ages.txt file outputted by Bacon or Clam. Tilia looks for exact matches, so e.g. if the depths of samples in the Tilia file are 0.5 10.5 20.5… and the depths in the …_ages.txt file are 1 2 3 4 5 6 …. then there are no exact matches and no ages will be imported into the Tilia file. There are a couple of possible workarounds (e.g. hand-editing the _ages.txt file) but usually the best solution is to rerun Bacon or Clam with a _depths.txt input file that contains all the depths listed in the Data spreadsheet. Bacon or Clam will then output an _ages.txt file that should import cleanly into Tilia, suing the steps above.


A groups of friends gathered at our local hangout and decided that we were growing bored with what was up and one of my guy friends introduced us to the drug GHB. He said that it was great and he'd taken it before so we trusted him. Well he wasn't a pharmacist and didn't know know how much should be given. There were two girls in the group, myself being one. We left to go somewhere private to take it and the guy I was seeing at the time told me he would take care of me if anything strange happened I couldn't handle. When we returned to the club another girlfriend of ours was tripping pretty hard and we had to rush her home. In the excitement, I used bad judgement and drove. About half way home I felt a hard rush such as one you would get when you take too many shots too fast. It felt like my head spun around.
Shortly after getting her home I felt the nausea start. I had severe dry heaves and the only way to make them stop was to lie down. I had strong sexual urges which would have been alot more interesting if I could get past the sickness I was feeling. When I felt like I could get up and walk my guy friend threw me over his shoulders and put me in the car, poured me on my sofa at my house and proceeded on his way. I immediately passed out not knowing anything that was going on around me. I was totally oblivious, anything could have happened but luckily I was with someone special and he didn't take advantage of the situation. I woke about three hours later feeling better but for a couple of weeks I had trouble concentrating or maintaining a complete train of thought. My only advice is never to trust anyone where drugs are concerned. If you insist on doing drugs stick to what u know!!!!!
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.


Receipt
public protocol Receipt: class
Represents a specific registrant within a specific Registry
.
A Receipt
is given when an item is registered, and is used to manage the
lifetime of item in the registry.
When the Receipt
is deallocated, the associated registrant is automatically
de-registered. You can also call deregister()
to force removal of the item
prior to deallocation of its Receipt
.
-
A unique identifier for the
Receipt
instance.Declaration
Swift
var id: ObjectIdentifier
-
Removes the item represented by this
Receipt
from theRegistry
to which it is registered.Declaration
Swift
func deregister()


Whether you or your loved one is encountering the natural decrease in mobility Whether you or your loved one is encountering the natural decrease in mobility Whether you or your loved one is encountering the natural decrease in mobility
Telwa gang
12m ago


Politics
2012 Chicago City Council Ward Remap
A time line of the ward remapping vote where Chicago Aldermen passed the wrong ward map. As of this writing there has been no follow up legislation passed to amend the borders. In my opinion this was a big failure of the entire Chicago City Council and virtually the entire Chicago media.
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January 19, 2012: Chicago City Council Votes on the Ward Remap
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Many comments re: lack of transparency in this #remap . Contact your Alderman and let them know what you think. http:// bit.ly/iq9GqB
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8 Ald. Voted No, Vote Count and Map to be posted ASAP on chicityclerk LIC RT @RoderickTSawyer : I voted No on the map 41-8 #ChiCouncil
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We don't rcv map electronically so need to scan in and then post to LIC, will send out as soon as up! #chicouncil #remap #oldschool
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City aldermen approve new ward map with enough votes to avoid referendum http:// suntm.es/A8ABuN uN
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Understand, but can only post when we get. RT @jenusellis : . "super soon" is not "before the vote so affected constituents could weigh in".
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Just spoke with @chicityclerk and they are working on uploading a #remap image NOW along with supporting text. Thank you.
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The City Clerk's Office Posts the PDF of the passed legislation. I was living in the 44th ward at the time and knew I was near a ward border in several of the drafts so I immediately went to the legal description to see where I was:
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@stevevance I just quickly read through the legal description.Easy for me since I am at a border.
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I find a minor east/west mistake in the legal description. Annoying, but not uncommon.
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@JQuesterman @SethLavin @derek_eder @shua123 @kylehillman Tunney posts a detailed image of Ward 44: http:// j.mp/xwWsse r eremap
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The image of the map of the "new" 44th ward posted by Alderman Tunney's Office showed a clear difference in boundaries from the legal descriptions. Confused, I begin to inquire...
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@stevevance unfortunately just got copy of a copy so high res scan wouldn't be very good. will see what u can do though!
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. @AldTomTunney is claiming boundaries are different than legal description in that pdf. #remap Can you clarify @chicityclerk ?
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Alderman Tunney's Office claims that he voted on the boundaries despite them not being in the legislation.
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"These are the boundaries that I voted for today. The Clerk's Office will be amending the description to fit these borders." - @AldTomTunney
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The City Clerk's Office corrects Alderman Tunney's Office regarding the need for amending. The city clerk cannot in fact just go and change legislation.
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Need to b amended @ Council mtng, we can't change RT @shua123 : @AldTomTunney claiming bound dif than text #remap clarify @chicityclerk ?
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In Conclusion...
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@SethLavin Pretty sure legally all that matters is the written legal description, which doesn't match the included map.
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We updated our ward #remap page with more helpful info, including detailed PDF map. Let us know what u think! http:// bit.ly/w8unKg
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April 2012: Three months pass with no follow-up by the City Council...
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Speaking of #redistricting , @chicityclerk did #chicouncil ever come back & vote on a corrected ordinance?
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@shua123 we'll confirm w/ #chicouncil team in a.m., but don't believe so. here is legislation we have http:// bit.ly/wYStEo
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@chicityclerk Thanks!
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July 24, 2012: Legislation to amend the Ward Remap legal descriptions is finally introduced.
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Sounds like they are finally going to fix the legal descriptions on the ward remap. About time... http:// j.mp/ST5kAG ia @W BWBEZ
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Six months later, Chicago aldermen to clean up ward map mistakesIn January, the city council signed off on new boundaries for Chicago’s wards. But the mapmakers had been up the whole night before...
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Office of the City Clerk - Document #: O2012-5439Title: Correction of City Council Journal of Proceedings of January 19, 2012 regarding City ward boundaries
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But the proposed ordinance is deferred...
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Item #3 on #chicouncil Rules agenda was proposed ord amending City ward boundaries. Deferred.
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August 10, 2012: The first article about voter registration notices using the "new" wards. The Chicago Tribune article does not mention that the "real" remap still has not been voted on. Alderman Moreno tweets a link to the article. My follow up question to him regarding the correct remap borders goes unanswered.
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This is still being worked out, but I'll keep you informed... http:// ow.ly/cT0nX ia @c hchicagotribune R eRemap
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Voter registration notices with new wards could trigger territory tussles among some aldermenNearly a quarter of Chicago's 1.3 million voters will find themselves in a new ward when voter registration cards arrive in the mail soon...
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@Alderman_Moreno has the board even passed the "correct" #remap borders yet?


notificationsThis is a notification with close button and icon and have many lines. You can see that the icon and the close button are always vertically aligned. This is a beautiful notification. So you don't have to worry about the style.
notificationsThis is a notification with close button and icon and have many lines. You can see that the icon and the close button are always vertically aligned. This is a beautiful notification. So you don't have to worry about the style.
Notification States
INFO - This is a regular notification made with ".alert-info"
SUCCESS - This is a regular notification made with ".alert-success"
WARNING - This is a regular notification made with ".alert-warning"
DANGER - This is a regular notification made with ".alert-danger"
PRIMARY - This is a regular notification made with ".alert-primary"
ROSE - This is a regular notification made with ".alert-rose"


| Created: | 11/23/2018 3:33:53 PM |
| Modified: | 4/29/2019 12:05:39 PM |
| Project: | |
| Advanced: |
| Attribute | ||
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Private cm length |
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Details:
CIDCR::example=The leading edge of a trailer includes consideration of the coupling assembly; however, especially in the case of a fifth wheel trailer, the coupling is not necessarily the leading edge. CIDCR::example=A typical road vehicle would indicate the distance from leading bumper edge to trailing bumper edge. CIDCR::issue=SAEJ2735 is explicit that this is bumper to bumper, which is ambiguous for vehicles without one or both bumpers; ETSI 102 894-2 is ambiguous about the exact extents (i.e., whether bumpers and trailer hitches are included) CIDCR::remark=After-market add-ons, such as trailer hitches do not affect this value but do affect trailerHitchPosition.
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Private cm width |
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Private cm trailerHitchPosition |
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Details:
CIDCR::crud=NSRN CIDCR::example=A pickup with a trailer hitchh and a fifth wheel coupler pulling a fifth wheel trailer will report the position of the fifth wheel coupler. CIDCR::example=A pickup with a trailer hitch and a fifth wheel coupler, but no attached trailer will report the postition of the trailer hitch as that would extend the effective length of the Vehicle. CIDCR::issue=Neither CAM nor BSM seem to properly account for this in their message structures.
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Private TrailerAttachedEnum trailerAttached |
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Details:
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Private cm frontExtension |
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CIDCR::remark=This value is typically zero, but allows for overhanging portions of a vehicle and is designed for compatibility with the definition of the BSM.
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Private cm rearExtension |
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Details:
CIDCR::remark=This value is typically zero, but allows for overhanging portions of a vehicle and is designed for compatibility with the definition of the BSM.
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| Element | Source Role | Target Role |
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«phenomenon» VehiclePosition Class «has» |
Name: |
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«phenomenon» VehicleSpeed Class «has» |
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Entity Class |
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Name: owner |
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«phenomenon» VehicleHeading Class «has» |
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| Element | Source Role | Target Role |
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Precipitation Class |
Name: precipitation |
Name: |
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Details:
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Acceleration Class |
Name: longitudinalAcceleration rate at which the vehicle speed is changing in the longitudinal direction (i.e., the X axis) |
Name: |
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Details:
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Acceleration Class |
Name: verticalAcceleration rate at which the vehicle speed is changing in its vertical direction (i.e., along its Z axis) |
Name: |
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Details:
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Heading Class |
Name: heading direction in which the Vehicle's geoPosition is moving with respect to the reference ellipsoid |
Name: |
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Details:
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Speed Class |
Name: speed rate at which the Vehicle's geoPosition is moving with respect to the local environment |
Name: |
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YawRate Class |
Name: yawRate rate at which the Vehicle is rotating about its vertical access with the positive direction being counter-clockwise when looking down on the vehicle |
Name: |
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Details:
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Wheel Class |
Name: wheels parts of a vehicle that enable the vehicle to easily move along a carriageway |
Name: |
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Details:
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Acceleration Class |
Name: lateralAcceleration rate at which the vehicle speed is changing in its lateral direction (i.e., along its Y axis) |
Name: |
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| Tag | Value |
| CIDCR::issue | Do we need to capture overhang information? CAM includes overhand in length and BSM does not. |
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Details:
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| CIDCR::source | ISO 14812 |
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Details:
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| Object | Type | Connection | Direction | Notes |
| VehicleSize | Class | Abstraction | From | |
| Precipitation | Class | Strong | From | |
| VehicleLength | Class | Abstraction | From | |
| Acceleration | Class | Strong | From | |
| Acceleration | Class | Strong | From | |
| VehicleLength | Class | Abstraction | From | |
| Trailer | Class | Generalization | From | |
| VehicleSize | Class | Abstraction | From | |
| Heading | Class | Strong | From | |
| VehicleSize | Class | Abstraction | From | |
| VehicleLength | Class | Abstraction | From | |
| Speed | Class | Strong | From | |
| YawRate | Class | Strong | From | |
| RoadVehicle | Class | Generalization | From | |
| BasicVehicleContainerHighFrequency | Class | Abstraction | From | |
| VehicleSize | Class | Abstraction | From | |
| Wheel | Class | Strong | From | |
| PhysicalEntity | Class | Generalization | To | |
| Acceleration | Class | Strong | From |


Movie: Godzilla [Theaters - 5/98] Reviewed on 6/06/98
I love movies big, movies small, movies bad and movies excellent. It's the ones in between I can't stand.
Godzilla is a little bit of all of this.
Let's put it like this. When this movie came out, critics panned it for being plotless. Pointless. Lack of decent dialog. Yada. Yada. Did these guys watch any of the original movies? I adored them. In case you missed the basis, here's the plot of every Godzilla movie ever made:
1.Monster or Monsters awake or arrive from ridiculous concept. Concepts can include frozen slumber, lab mutation or time travel. 2.Monsters spend considerable time and plot to reach a metropolis. This is because monsters love an audience. This metropolis is almost invariably Tokyo, but exceptions do occur. 3.Extras, a few unknown actors and the occasional Raymond Burr throws considerable military power and scientific knowledge at the monsters to generally no avail. 4.Switch between blue screened special effects, miniatures, screaming extras and large amounts of latex. 5.Monsters generally get tired of the action. They are, after all, quite large. They generally sludge back into the ocean and roll some credits.
 In fact, if there was a problem I had with the movie, is that they didn't have enough of it. They introduce baby godzillas (ick...didn't even work in the old ones) which makes it a little too slick and suspenseful. Anyone can take a bunch of film from a poorly lit corporate building and paste some 3D alien/lizard/squid thingy after some aptly screaming actors. The beauty of Godzilla is scale. Watching buildings fall. Tanks get squashed. And mankind learn it suddenly became the runt of the block.
Overall: A fun romp in central park with huge, fantastic special effects. Wonderful lack of plot and great silly dialog. Unfortunate injection of standard fair Alien-esque subplot and not nearly enough squashing, screaming and general mayhem. -- Joshua Birk ______________________________ home<EMAIL_ADDRESS>The Cutting Room Floor - Reader Based Reviews http://www.inkless.com/crfloor/
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


Toss Once
Toss Multiple Times
Clear
# of experiments (10-1000):
Submit
Keep tossing to see the converging distribution.
Surprise, surprise, it's a Gaussian!


Any speakers or helpful others at #ConFoo have a Mac VGA adapter to spare from 11-noon tomorrow?
2/25/2014, 3:25:27 PM
Favs: 0
Retweets: 0
link--- layout: tweet ---
Any speakers or helpful others at #ConFoo have a Mac VGA adapter to spare from 11-noon tomorrow?
2/25/2014, 3:25:27 PM
Favs: 0
Retweets: 0
link


Using phasor to count
var audio = new maximJs.maxiAudio(); audio.init(); var mySine = new maximJs.maxiOsc(); // This is the oscillator we will use to generate the test tone var myClock = new maximJs.maxiClock(); // This will allow us to generate a clock signal and do things at specific times var freq; // This is a variable that we will use to hold and set the current frequency of the oscillator myClock.setTicksPerBeat(1);//This sets the number of ticks per beat myClock.setTempo(120);// This sets the tempo in Beats Per Minute freq=20; // Here we initialise the variable audio.play = function(){ myClock.ticker(); // This makes the clock object count at the current samplerate //This is a 'conditional'. It does a test and then does something if the test is true // console.log(myClock.isTick()); if (myClock.tick) { // If there is an actual tick at this time, this will be true. freq+=100; // DO SOMETHING } // The curly braces close the conditional this.output=mySine.sinewave(freq);//simple as that! }


Convert "label", "lexicographic", "jacquard" and "vec", full state description vector. All conversions are done to and from "label", as used in IBD_Haplo. More information regarding IBD_Haplo can be found at http://www.stat.washington.edu/thompson/Genepi/pangaea.shtml.
| Version: | 1.1 |
| Published: | 2015-02-17 |
| Author: | Fiona Grimson |
| Maintainer: | Fiona Grimson <fgrimson at uw.edu> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | IBDLabels results |
| Reference manual: | IBDLabels.pdf |
| Vignettes: |
IBDhaploRtools tutorial |
| Package source: | IBDLabels_1.1.tar.gz |
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THE INSIDER A film review by Christopher Null Copyright 1999 Christopher Null filmcritic.com
Listen up! A movie adapted from a magazine article about the making of a four-year old segment of a television program: Does this pitch have you hooked yet? No? Well, despite a potentially dry-as-dust premise, THE INSIDER manages to rise above its inherent limitations and provides a compelling look inside the politics of `60 Minutes' and the tobacco industry.
They say you should never see two things being made: Sausage and legislation. Add journalism to that list. I've been in this racket long enough to know that objectivity is painfully lacking in the places you expect to find it the most. Backroom deals make strange bedfellows of interest-conflicted parties (e.g. Time-Warner owns Entertainment Weekly magazine, which reviews Warner Bros. films, etc.) So when `60 Minutes' producer Lowell Bergman (Pacino) decided to do a story about the hazards of cigarettes in 1996, he found himself embroiled in controversy.
Central to that controversy was Jeffrey Wigand (Crowe), a VP with Brown & Williamson, the #3 tobacco company in the U.S. Just-fired and full of rage, Wigand `blew the whistle' on B&W, and after much haranguing, he told a tale of the hazards of smoking – and the fact that the tobacco companies knew about those hazards – to Mike Wallace (Plummer) and `60 Minutes.'
But before the segment could air, B&W threatened legal action against all the parties, Wigand became the subject of a vicious smear campaign, his wife left him, he basically went nuts, and Bergman started to feel responsible for ruining Wigand's life – all with nothing to show for it, because CBS top brass refused to air the interview.
Add in the impending sale of CBS to Westinghouse, and you're staring into a morass of journalistic dishonesty and a legal migraine.
That any of this makes interesting filmmaking is a genuine surprise, and with a running time close to 3 hours, it's even more amazing that my attention was held throughout. Mann, last seen directing HEAT, is certainly unnecessarily long-winded throughout the movie, but some stellar performances keep THE INSIDER going strong. It goes without saying that Pacino burns in his role, but it's Crowe who deserves the real praise as the falling-apart Wigand. Think Oscar nomination; he deserves it.
Christopher Plummer does an amazing impression of Mike Wallace, and also of note is Bruce McGill, as a Mississippi D.A., who has about five minutes of amazing screen time.
The funny thing about THE INSIDER is that Wigand's story is not the most interesting part of the film. It is at first, but Mann (wisely) eventually directs the story back to CBS, with focus on the wrangling within its corporate hierarchy about whether to run the interview. Why? Because the `danger of smoking' is really old news. Philip Morris's recent admission that smoking causes cancer is a further sign that this whole debate might be beating a dead horse.
Stick *that* in your pipe.
RATING: ****
|------------------------------| \ ***** Perfection \ \ **** Good, memorable film \ \ *** Average, hits and misses \ \ ** Sub-par on many levels \ \ * Unquestionably awful \ |------------------------------|
MPAA Rating: R
Director: Michael Mann Producer: Peter Jan Brugge, Michael Mann Writer: Eric Roth Starring: Al Pacino, Russell Crowe, Christopher Plummer, Philip Baker Hall, Diane Venora, Gina Gershon, Rip Torn, Lindsay Crouse, Debi Mazar, Bruce McGill
http://www.theinsider-themovie.com/
Christopher Null -<EMAIL_ADDRESS>- http://www.filmcritic.com Author - Network Administrator's Reference, 1999 http://www.amazon.com/exec/obidos/ASIN/0078825881/filmcriticcom
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Related links: index of all rec.arts.movies.reviews reviews


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