Gelly exploits Flink’s efficient iteration operators to support large-scale iterative graph processing. Currently, we provide implementations of the vertex-centric, scatter-gather, and gather-sum-apply models. In the following sections, we describe these abstractions and show how you can use them in Gelly.
The vertex-centric model, also known as “think like a vertex” or “Pregel”, expresses computation from the perspective of a vertex in the graph.
The computation proceeds in synchronized iteration steps, called supersteps. In each superstep, each vertex executes one user-defined function.
Vertices communicate with other vertices through messages. A vertex can send a message to any other vertex in the graph, as long as it knows its unique ID.
The computational model is shown in the figure below. The dotted boxes correspond to parallelization units.
In each superstep, all active vertices execute the
same user-defined computation in parallel. Supersteps are executed synchronously, so that messages sent during one superstep are guaranteed to be delivered in the beginning of the next superstep.
To use vertex-centric iterations in Gelly, the user only needs to define the vertex compute function, ComputeFunction.
This function and the maximum number of iterations to run are given as parameters to Gelly’s runVertexCentricIteration. This method will execute the vertex-centric iteration on the input Graph and return a new Graph, with updated vertex values. An optional message combiner, MessageCombiner, can be defined to reduce communication costs.
Let us consider computing Single-Source-Shortest-Paths with vertex-centric iterations. Initially, each vertex has a value of infinite distance, except from the source vertex, which has a value of zero. During the first superstep, the source propagates distances to its neighbors. During the following supersteps, each vertex checks its received messages and chooses the minimum distance among them. If this distance is smaller than its current value, it updates its state and produces messages for its neighbors. If a vertex does not change its value during a superstep, then it does not produce any messages for its neighbors for the next superstep. The algorithm converges when there are no value updates or the maximum number of supersteps has been reached. In this algorithm, a message combiner can be used to reduce the number of messages sent to a target vertex.
A vertex-centric iteration can be configured using a VertexCentricConfiguration object.
Currently, the following parameters can be specified:
Name: The name for the vertex-centric iteration. The name is displayed in logs and messages
and can be specified using the setName() method.
Parallelism: The parallelism for the iteration. It can be set using the setParallelism() method.
Solution set in unmanaged memory: Defines whether the solution set is kept in managed memory (Flink’s internal way of keeping objects in serialized form) or as a simple object map. By default, the solution set runs in managed memory. This property can be set using the setSolutionSetUnmanagedMemory() method.
Aggregators: Iteration aggregators can be registered using the registerAggregator() method. An iteration aggregator combines
all aggregates globally once per superstep and makes them available in the next superstep. Registered aggregators can be accessed inside the user-defined ComputeFunction.
Broadcast Variables: DataSets can be added as Broadcast Variables to the ComputeFunction, using the addBroadcastSet() method.
The scatter-gather model, also known as “signal/collect” model, expresses computation from the perspective of a vertex in the graph. The computation proceeds in synchronized iteration steps, called supersteps. In each superstep, a vertex produces messages for other vertices and updates its value based on the messages it receives. To use scatter-gather iterations in Gelly, the user only needs to define how a vertex behaves in each superstep:
Scatter: produces the messages that a vertex will send to other vertices.
Gather: updates the vertex value using received messages.
Gelly provides methods for scatter-gather iterations. The user only needs to implement two functions, corresponding to the scatter and gather phases. The first function is a ScatterFunction, which allows a vertex to send out messages to other vertices. Messages are received during the same superstep as they are sent. The second function is GatherFunction, which defines how a vertex will update its value based on the received messages.
These functions and the maximum number of iterations to run are given as parameters to Gelly’s runScatterGatherIteration. This method will execute the scatter-gather iteration on the input Graph and return a new Graph, with updated vertex values.
A scatter-gather iteration can be extended with information such as the total number of vertices, the in degree and out degree.
Additionally, the neighborhood type (in/out/all) over which to run the scatter-gather iteration can be specified. By default, the updates from the in-neighbors are used to modify the current vertex’s state and messages are sent to out-neighbors.
Let us consider computing Single-Source-Shortest-Paths with scatter-gather iterations on the following graph and let vertex 1 be the source. In each superstep, each vertex sends a candidate distance message to all its neighbors. The message value is the sum of the current value of the vertex and the edge weight connecting this vertex with its neighbor. Upon receiving candidate distance messages, each vertex calculates the minimum distance and, if a shorter path has been discovered, it updates its value. If a vertex does not change its value during a superstep, then it does not produce messages for its neighbors for the next superstep. The algorithm converges when there are no value updates.
A scatter-gather iteration can be configured using a ScatterGatherConfiguration object.
Currently, the following parameters can be specified:
Name: The name for the scatter-gather iteration. The name is displayed in logs and messages
and can be specified using the setName() method.
Parallelism: The parallelism for the iteration. It can be set using the setParallelism() method.
Solution set in unmanaged memory: Defines whether the solution set is kept in managed memory (Flink’s internal way of keeping objects in serialized form) or as a simple object map. By default, the solution set runs in managed memory. This property can be set using the setSolutionSetUnmanagedMemory() method.
Aggregators: Iteration aggregators can be registered using the registerAggregator() method. An iteration aggregator combines
all aggregates globally once per superstep and makes them available in the next superstep. Registered aggregators can be accessed inside the user-defined ScatterFunction and GatherFunction.
Broadcast Variables: DataSets can be added as Broadcast Variables to the ScatterFunction and GatherFunction, using the addBroadcastSetForUpdateFunction() and addBroadcastSetForMessagingFunction() methods, respectively.
Number of Vertices: Accessing the total number of vertices within the iteration. This property can be set using the setOptNumVertices() method.
The number of vertices can then be accessed in the vertex update function and in the messaging function using the getNumberOfVertices() method. If the option is not set in the configuration, this method will return -1.
Degrees: Accessing the in/out degree for a vertex within an iteration. This property can be set using the setOptDegrees() method.
The in/out degrees can then be accessed in the vertex update function and in the messaging function, per vertex using the getInDegree() and getOutDegree() methods.
If the degrees option is not set in the configuration, these methods will return -1.
Messaging Direction: By default, a vertex sends messages to its out-neighbors and updates its value based on messages received from its in-neighbors. This configuration option allows users to change the messaging direction to either EdgeDirection.IN, EdgeDirection.OUT, EdgeDirection.ALL. The messaging direction also dictates the update direction which would be EdgeDirection.OUT, EdgeDirection.IN and EdgeDirection.ALL, respectively. This property can be set using the setDirection() method.
The following example illustrates the usage of the degree as well as the number of vertices options.
The following example illustrates the usage of the edge direction option. Vertices update their values to contain a list of all their in-neighbors.
Like in the scatter-gather model, Gather-Sum-Apply also proceeds in synchronized iterative steps, called supersteps. Each superstep consists of the following three phases:
Gather: a user-defined function is invoked in parallel on the edges and neighbors of each vertex, producing a partial value.
Sum: the partial values produced in the Gather phase are aggregated to a single value, using a user-defined reducer.
Apply: each vertex value is updated by applying a function on the current value and the aggregated value produced by the Sum phase.
Let us consider computing Single-Source-Shortest-Paths with GSA on the following graph and let vertex 1 be the source. During the Gather phase, we calculate the new candidate distances, by adding each vertex value with the edge weight. In Sum, the candidate distances are grouped by vertex ID and the minimum distance is chosen. In Apply, the newly calculated distance is compared to the current vertex value and the minimum of the two is assigned as the new value of the vertex.
Notice that, if a vertex does not change its value during a superstep, it will not calculate candidate distance during the next superstep. The algorithm converges when no vertex changes value.
To implement this example in Gelly GSA, the user only needs to call the runGatherSumApplyIteration method on the input graph and provide the GatherFunction, SumFunction and ApplyFunction UDFs. Iteration synchronization, grouping, value updates and convergence are handled by the system:
Note that gather takes a Neighbor type as an argument. This is a convenience type which simply wraps a vertex with its neighboring edge.
For more examples of how to implement algorithms with the Gather-Sum-Apply model, check the GSAPageRank and GSAConnectedComponents library methods of Gelly.
A GSA iteration can be configured using a GSAConfiguration object.
Currently, the following parameters can be specified:
Name: The name for the GSA iteration. The name is displayed in logs and messages and can be specified using the setName() method.
Parallelism: The parallelism for the iteration. It can be set using the setParallelism() method.
Solution set in unmanaged memory: Defines whether the solution set is kept in managed memory (Flink’s internal way of keeping objects in serialized form) or as a simple object map. By default, the solution set runs in managed memory. This property can be set using the setSolutionSetUnmanagedMemory() method.
Aggregators: Iteration aggregators can be registered using the registerAggregator() method. An iteration aggregator combines all aggregates globally once per superstep and makes them available in the next superstep. Registered aggregators can be accessed inside the user-defined GatherFunction, SumFunction and ApplyFunction.
Broadcast Variables: DataSets can be added as Broadcast Variables to the GatherFunction, SumFunction and ApplyFunction, using the methods addBroadcastSetForGatherFunction(), addBroadcastSetForSumFunction() and addBroadcastSetForApplyFunction methods, respectively.
Number of Vertices: Accessing the total number of vertices within the iteration. This property can be set using the setOptNumVertices() method.
The number of vertices can then be accessed in the gather, sum and/or apply functions by using the getNumberOfVertices() method. If the option is not set in the configuration, this method will return -1.
Neighbor Direction: By default values are gathered from the out neighbors of the Vertex. This can be modified
using the setDirection() method.
The following example illustrates the usage of the number of vertices option.
The following example illustrates the usage of the edge direction option.
Although the three iteration abstractions in Gelly seem quite similar, understanding their differences can lead to more performant and maintainable programs.
Among the three, the vertex-centric model is the most general model and supports arbitrary computation and messaging for each vertex. In the scatter-gather model, the logic of producing messages is decoupled from the logic of updating vertex values. Thus, programs written using scatter-gather are sometimes easier to follow and maintain.
Separating the messaging phase from the vertex value update logic not only makes some programs easier to follow but might also have a positive impact on performance. Scatter-gather implementations typically have lower memory requirements, because concurrent access to the inbox (messages received) and outbox (messages to send) data structures is not required. However, this characteristic also limits expressiveness and makes some computation patterns non-intuitive. Naturally, if an algorithm requires a vertex to concurrently access its inbox and outbox, then the expression of this algorithm in scatter-gather might be problematic. Strongly Connected Components and Approximate Maximum
Weight Matching are examples of such graph algorithms. A direct consequence of this restriction is that vertices cannot generate messages and update their states in the same phase. Thus, deciding whether to propagate a message based on its content would require storing it in the vertex value, so that the gather phase has access to it, in the following iteration step. Similarly, if the vertex update logic includes computation over the values of the neighboring edges, these have to be included inside a special message passed from the scatter to the gather phase. Such workarounds often lead to higher memory requirements and non-elegant, hard to understand algorithm implementations.
Gather-sum-apply iterations are also quite similar to scatter-gather iterations. In fact, any algorithm which can be expressed as a GSA iteration can also be written in the scatter-gather model. The messaging phase of the scatter-gather model is equivalent to the Gather and Sum steps of GSA: Gather can be seen as the phase where the messages are produced and Sum as the phase where they are routed to the target vertex. Similarly, the value update phase corresponds to the Apply step.
The main difference between the two implementations is that the Gather phase of GSA parallelizes the computation over the edges, while the messaging phase distributes the computation over the vertices. Using the SSSP examples above, we see that in the first superstep of the scatter-gather case, vertices 1, 2 and 3 produce messages in parallel. Vertex 1 produces 3 messages, while vertices 2 and 3 produce one message each. In the GSA case on the other hand, the computation is parallelized over the edges: the three candidate distance values of vertex 1 are produced in parallel. Thus, if the Gather step contains “heavy” computation, it might be a better idea to use GSA and spread out the computation, instead of burdening a single vertex. Another case when parallelizing over the edges might prove to be more efficient is when the input graph is skewed (some vertices have a lot more neighbors than others).
Another difference between the two implementations is that the scatter-gather implementation uses a coGroup operator internally, while GSA uses a reduce. Therefore, if the function that combines neighbor values (messages) requires the whole group of values for the computation, scatter-gather should be used. If the update function is associative and commutative, then the GSA’s reducer is expected to give a more efficient implementation, as it can make use of a combiner.
Another thing to note is that GSA works strictly on neighborhoods, while in the vertex-centric and scatter-gather models, a vertex can send a message to any vertex, given that it knows its vertex ID, regardless of whether it is a neighbor. Finally, in Gelly’s scatter-gather implementation, one can choose the messaging direction, i.e. the direction in which updates propagate. GSA does not support this yet, so each vertex will be updated based on the values of its in-neighbors only.
The main differences among the Gelly iteration models are shown in the table below.


- What is this site?
- This is a collection of messages by ancient Hermetic spirits. There are 360 spirits associated with the 360 degrees of the tropical zodiac, and 28 spirits associated with the lunar cycle.
- Where are these messages coming from?
- The spirits express themselves through Cynthia Schlosser. She reposts their messages according to the current position of the sun and moon, which means usually at least once per day. She posts them through Yahoo! Groups, which delivers it to one of my computers which collects and processes them into this site.
- Why did you build this site?
- The Yahoo! Group, while open to everyone, requires people to join. Furthermore, the content does not get picked up by search engines. And should Yahoo! ever go down, these messages might be lost. This site helps to make this valuable content available to a greater audience and serves as an archive.
- What's with the 90s design?
- Cynthia actually designed these messages a long time ago, and their design reflects that fact. I wanted to keep this site in line with that design. In addition, I have lots of other projects and didn't want to spend a lot of time working on the design. I do know that genuine seekers of wisdom will find what they are looking for, and that's the most important thing to me.
- Is this stuff real?
- Only you can decide.
- Where can I find more information on these spirits?
- Franz Bardon, The Practice of Magical Evocation. I can also teach you.
- Can I ask you something?
- Sure, send me an email at<EMAIL_ADDRESS>- Where can I find the current position of the sun and moon?
- Check out astro.com and lunarium.co.uk


these are statistics!
here you can view past game outcomes to see insight to the game. like past winners, how many potential paths were made/ blocked. Fresh Blood, all sorts of things can be looked at on this page.
here you can view past game outcomes to see insight to the game. like past winners, how many potential paths were made/ blocked. Fresh Blood, all sorts of things can be looked at on this page.
what are popular blocks


Tabs
or
Spaces
The Top Starred repositories on
GitHub
were analysed in 2017 to find the most common type of indentation for different programming languages.


Generates a project and repo for easy initialization of a GitHub repo for R workshops. The repo includes a README with instructions to ensure that all users have the needed packages, an 'RStudio' project with the right directories and the proper data. The repo can then be used for hosting code taught during the workshop.
| Version: | 0.0.1 |
| Depends: | R (≥ 3.3.0) |
| Imports: | rstudioapi, git2r, rmarkdown, httr |
| Suggests: | testthat, covr |
| Published: | 2018-06-19 |
| Author: | Jared P. Lander [aut, cre] |
| Maintainer: | Jared P. Lander <packages at jaredlander.com> |
| BugReports: | https://github.com/jaredlander/RepoGenerator/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/jaredlander/RepoGenerator |
| NeedsCompilation: | no |
| SystemRequirements: | GitHub, 'RStudio' |
| Materials: | README NEWS |
| CRAN checks: | RepoGenerator results |
| Reference manual: | RepoGenerator.pdf |
| Package source: | RepoGenerator_0.0.1.tar.gz |
| Windows binaries: | r-devel: RepoGenerator_0.0.1.zip, r-release: RepoGenerator_0.0.1.zip, r-oldrel: RepoGenerator_0.0.1.zip |
| OS X binaries: | r-release: RepoGenerator_0.0.1.tgz, r-oldrel: RepoGenerator_0.0.1.tgz |
Please use the canonical form https://CRAN.R-project.org/package=RepoGenerator to link to this page.


IsCamera()
Syntax
Result = IsCamera(#Camera)Description
Tests if the given #Camera is a valid and correctly initialized camera.
This function is bulletproof and can be used with any value. If the 'Result' is not zero then the object is valid and initialized, else it returns zero. This is the correct way to ensure a camera is ready to use.
Supported OS
All


| I l@ve RuBoard |
4.8 The copy_reg ModuleThe copy_reg module provides a registry that you can use to register your own extension types. The pickle and copy modules use this registry to figure out how to process non-standard types. For example, the standard pickle implementation cannot deal with Python code objects, as shown in the following example: File: copy-reg-example-1.py import pickle CODE = """ print 'good evening' """ code = compile(CODE, "<string>", "exec") exec code exec pickle.loads(pickle.dumps(code)) good evening Traceback (innermost last): ... pickle.PicklingError: can't pickle 'code' objects We can work around this by registering a code object handler. Such a handler consists of two parts: a pickler, which takes the code object and returns a tuple that can only contain simple datatypes, and an unpickler, which takes the contents of such a tuple as its arguments. Example 4-14 demonstrates this. Example 4-14. Using the copy_reg Module to Enable Pickling of Code ObjectsFile: copy-reg-example-2.py import copy_reg import pickle, marshal, types # # register a pickle handler for code objects def code_unpickler(data): return marshal.loads(data) def code_pickler(code): return code_unpickler, (marshal.dumps(code),) copy_reg.pickle(types.CodeType, code_pickler, code_unpickler) # # try it out CODE = """ print "suppose he's got a pointed stick" """ code = compile(CODE, "<string>", "exec") exec code exec pickle.loads(pickle.dumps(code)) suppose he's got a pointed stick suppose he's got a pointed stick If you're transferring the pickled data across a network or to another program, the custom unpickler must be available at the receiving end as well. For the really adventurous, Example 4-15 shows a version that allows you to pickle open file objects. Example 4-15. Using the copy_reg Module to Enable Pickling of File ObjectsFile: copy-reg-example-3.py import copy_reg import pickle, types import StringIO # # register a pickle handler for file objects def file_unpickler(position, data): file = StringIO.StringIO(data) file.seek(position) return file def file_pickler(code): position = file.tell() file.seek(0) data = file.read() file.seek(position) return file_unpickler, (position, data) copy_reg.pickle(types.FileType, file_pickler, file_unpickler) # # try it out file = open("samples/sample.txt", "rb") print file.read(120), print "<here>", print pickle.loads(pickle.dumps(file)).read() We will perhaps eventually be writing only small modules, which are identified by name as they are used to build larger <here> ones, so that devices like indentation, rather than delimiters, might become feasible for expressing local structure in the source language. -- Donald E. Knuth, December 1974 |
| I l@ve RuBoard |


--- layout: post esbma_id: 1198 title: Law #16: The Law of Singularity date: 2004-06-22 14:53:03 keywords: law ---
(This entry is part of a series I am writing on The 22 Immutable Laws of Marketing.)
The Law of Singularity says that "in each situation only one move will produce substantial results".
We literalists will once again have to endure the authors' word choice. The above statement is almost certainly not true. :-)
And yet, Ries and Trout make two important points in this chapter, which I will paraphrase as follows:
One Bold Stroke
The pattern is fairly common. I call it "The Infinite Loop of Marketing Despair":
Part of the problem here is the assumptions we make about the total result we will get from a list of marketing ideas. We make our list in Excel and for each item we calculate the results that item will generate for us. And then, at the bottom, we enter SUM(B2:B11). This is our mistake. The proper estimate for the total result is closer to MAX(B2:B11).
The problem is that awareness-building efforts tend to overlap by reaching the same people. We run banner ads. We run magazine ads. The same person sees both ads. Is that guy going to buy our product twice just because he saw both ads?
The success of our marketing campaigns is defined by the best idea on our list, not the length of that list. Nonetheless, we continue to make our lists because "Somebody" said we need to do more marketing, and we definitely have to make that Somebody feel better.
The way out of this loop is to find something completely different.  Markets are won with strategy, not tactics. There is no way you are going to win this war by simply doing more of what you are doing now.
Too Important
Marketing is too important to be left to the marketing people.
The true cause of "The Infinite Loop of Marketing Despair" is Mr. Somebody, the guy in step 3 who apparently believes that throwing more money at the marketing team will actually solve problems.
In the chapter, Ries and Trout are basically saying that Mr. Somebody is "management". They argue that "management can't afford to delegate important marketing decisions".
For my purposes, I write for the technical geek.  Maybe you're a lead developer who cares about the success of your product.  But don't just push for "more marketing". Help your organization find the one bold stroke that will make a real difference.


Username:
Password:
No Account Yet?
Forgot Password?
PLEASE CONTACT THE ADMIN FOR SOME VERIFICATION!


Sussex Spaniel
| Sussex Spaniel Picture | |
| Breed Information | |
|---|---|
| Popularity | 2017: #1612016: #1722015: #173 |
| Name | Sussex Spaniel |
| Other names | Sussex |
| Origin | United Kingdom |
| Breed Group | Sporting (AKC:1884)Gun Dogs (UKC) |
| Size | Medium |
| Type | Purebred |
| Life span | 12-15 years |
| Temperament | CalmCheerfulCompanionableDevotedFriendlySociable |
| Height | 15-16 inches (38-40 cm) |
| Weight | 40-44 pounds (18-20 kg) |
| Colors | BrownRed |
| Litter Size | 5-6 puppies |
| Puppy Price | Average $2400 - $2600 USD |
| Breed Characteristics | |
| Adaptability | 5 stars |
| Apartment Friendly | 3 starsThe Sussex Spaniel will do okay in an apartment if it is sufficiently exercised. It is moderately active indoors and a small yard will be sufficient. This breed can live outdoors in temperate climates as long as it has warm shelter, but it generally does better as a house dog that also has access to a yard. |
| Barking Tendencies | 5 starsFrequent |
| Cat Friendly | 3 stars |
| Child Friendly | 5 starsGood with Kids: This is a suitable breed for kids and is known to be playful, energetic, and affectionate around them. |
| Dog Friendly | 5 stars |
| Exercise Needs | 4 starsThe Sussex Spaniel needs to be exercised regularly by taking it on a daily walk, where the dog is made to heel beside or behind the human holding the lead, as in a dog's mind the leader leads the way and that leader needs to be the human. Not only does the dog need a walk to satisfy its natural migration instinct, but it will quickly put on weight if it gets too little exercise. It enjoys retrieving and swimming and being outdoors in the woods and fields, but bear in mind it has a tendency to follow its nose. This breed may howl if not properly exercised and left alone. |
| Grooming | 3 starsModerate Maintenance: Grooming should be performed regularly to keep its fur in good shape. Occasional trimming or stripping needed. |
| Health Issues | 3 starsHypoallergenic: No |
| Intelligence | 2 starsRanking: (#). (See All Rankings) |
| Playfulness | 3 stars |
| Shedding Level | 3 starsModerate Shedding: Expect this dog to shed regularly. Be prepared to vacuum often. Brushing will reduce shedding as well as make the coat softer and cleaner. |
| Stranger Friendly | 3 stars |
| Trainability | 4 starsModerately Easy Training: Training won't require too much attention and effort, though it won't be easier than other breeds. Expect results to come gradually. |
| Watchdog Ability | 3 stars |
| Sussex Spaniel Puppy Picture | ||
| Puppy Names | ||
|---|---|---|
| Rank | Male | Female |
| 01 | Max | Bella |
| 02 | Simba | Daisy |
| 03 | Rocky | Callie |
| 04 | Finn | Chloe |
| 05 | Oliver | Angel |
| 06 | Brody | Coco |
| 07 | Teddy | Lexi |
| 08 | Sam | Izzy |
| 09 | Hank | Stella |
| 10 | Bruno | Dixie |
| See All Names › |
| Overview |
|---|
|
The long, low, "rectangular" body, coupled with a muscular and rather massive physique, allows the Sussex to penetrate dense cover when hunting. Its movement is deliberate and rolling because of its short legs and comparatively wide body, a gait that emphasizes power over speed. The abundant body coat is flat or slightly wavy, giving protection from thorns. A distinctive feature is the long feather between the toes, which should be long enough to cover the toenails. The expression is somber and serious, even frowning, but the wagging tail belies its true nature. The Sussex tends to bark when hunting, which helps the hunter locate it in thick cover. The Sussex spaniel tends to be less playful and demonstrative than other spaniels, with a lower energy level. This makes it better suited for city life, but it still appreciates the chance to take to the wilds and hunt up birds. It tends to bark when hunting, which has made it less popular with hunters than other breeds; some also bark or howl when not hunting. At home it is calm, steady and easygoing, although it may be aggressive to strange dogs. Its somber expression is misleading because it is quite cheerful. |
| History |
| The Sussex Spaniel is a fairly rare breed. It was developed in the 1800s in Sussex, England. It is a small-game hunter and companion dog. The breed was probably developed from crosses of spaniels with hounds. The dogs were used as field hunting dogs. Their slow pace along with their fine nose, good strength and stamina made them popular for hunters on foot flushing and retrieving upland game. The breed’s numbers plummeted during World War II. An English breeder by the name of Joy Freer is credited for saving the breed. Joy owned eight of these dogs which she saved and fed during the war. Most of today's Sussex Spaniels are direct descendants from her dogs. The Sussex Spaniel was recognized by the AKC in 1884. It was one of the original nine breeds recognized by the AKC. Some of the Sussex Spaniel's talents include: tracking, hunting, retrieving and watchdog. It is the only spaniel to bay while hunting. |


Weeks before actually trying Belladonna, I researched about it. It was exciting to hear about the realistic visuals that some people received. I was looking forward to being transported to another place upon drinking the dose.
I ordered the plant from a website and received a discreet package containing 4 ounces of the foliage. I prepared a liter of tea by boiling about a gram of it within. I strained the plant material and drank one cup, with plenty of liquid left, so approximately 300 mL. After waiting for nearly an hour for effects (having heard that it will take a long time and the effects can sometimes jump at you) I decided that my dose was relatively low and I needed to take some more. I dumped out the rest of the tea and put another pot on with 5 grams of foliage in it. Strained the plant out and drank one more cup.
I was slightly anxious, hoping for the best, but relatively in a good state of mind. I was just sitting in my friend's dorm (which is probably not the best setting for such a drug, very uncommon ground) watching tv. My stomach became unsettled. After nearly two more hourse after the second cup, so about three and a half hours altogether, feeling nothing, but slight physical discomfort I went to my dorm room and tried to go to sleep.
Sleep wasn't easily found, though, as I scrambled from my top bunk down to the trashcan on the first floor. I vomited slightly, but knew it wasn't over yet. I went quickly to the bathrooms at the very end of the hall, furthest away from my dorm room, and vomited into the toilet, second from the left. As I walked back, I was incredibly fatigued and my sense of balance completely shot. I stumbled into the halls and had to walk with my hands holding the wall. I got back to my room, but my night wasn't over yet.
I couldn't fall easily to sleep, my mind was drifting off. I cannot say that belladonna contributed entirely to my wandering mind, I am usually like that anyway, but I won't say it didn't. Nor can I say that the violent upheavels in my stomach were solely accounted to belladonna, (I had a large chinese buffet only three hours prior to consumption) but my stomach is not easily turned, so I would say belladonna was a large factor.
I fell asleep, finally, but didn't stay that way. I woke up three times in the night to vomit or because of cold sweats. I couldn't make it to the bathroom once, a stain marks the hall's carpet to this day.
The next day I was exhausted, perhaps just because of my poor night's sleep, maybe partly because of the belladonna. I found that my reading vision deterioated severely, returning the next day. I received no visions nor any of the 'pluses' pertaining to taking belladonna. I think it could be contributed to the way I took it, the source of the foliage, and the amount I drank.
I may take it again, but hopefully, by that time, there will be more reports on how to take it by other people who were successful. I don't mean to dissuade anyone, just to report. Good luck!
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


Home
Swingsets
6
Williamsburg
Lexington
Ridgefield
Yorktown
Manchester
Piermont
Birthday
Parties
Contact
Swingsets
Welcome to the world of Creative Playthings, where any one of our many versatile swing sets will instantly transform your yard into an exciting destination for your child!
Click Here To Learn How
Premiun Pine™:
The Williamsburg Wooden Swing Set
Premiun Pine™:
The Lexington Wooden Swing Set
Premiun Pine™:
The Ridgefield Wooden Swing Set
Premiun Pine™:
The Yorktown Wooden Swing Set
Premiun Pine™:
The Manchester Wooden Swing Set
Premiun Pine™:
The Piermont Wooden Swing Set


Summary Counts by Semantic Type (past 4 weeks)
Based on the
UMLS Semantic Types Taxonomy; queries have been assigned to the
most specific level possible. Several categories were
added to accommodate web site queries. "Bibliographic Entity" means
queries directly related to documents/publishing/PubMed search syntax/etc.
"Numeric ID" are document IDs, usually from one of our databases.
- Physical Object - 2
- Organism - 20
- Archaeon - 1
- Bacterium - 173
- Eukaryote - 89
- Animal - 13
- Amphibian - 3
- Bird - 11
- Fish - 14
- Mammal - 28
- Human - 8
- Reptile - 1
- Fungus - 56
- Plant - 281
- Virus - 113
- Anatomical Structure - 12
- Embryonic Structure - 9
- Anatomical Abnormality - 60
- Congenital Abnormality - 105
- Acquired Abnormality - 34
- Body Part, Organ, or Organ Component - 367
- Tissue - 26
- Cell - 91
- Cell Component - 44
- Gene or Genome - 242
- Manufactured Object - 101
- Medical Device - 217
- Research Device - 3
- Clinical Drug - 20
- Substance - 16
- Chemical - 6
- Chemical Viewed Functionally - 7
- Pharmacologic Substance - 154
- Antibiotic - 19
- Biomedical or Dental Material - 31
- Biologically Active Substance - 81
- Hormone - 7
- Immunologic Factor - 17
- Indicator, Reagent, or Diagnostic Aid - 3
- Hazardous or Poisonous Substance - 17
- Chemical Viewed Structurally - 6
- Organic Chemical - 125
- Nucleic Acid, Nucleoside, or Nucleotide - 35
- Amino Acid, Peptide, or Protein - 18
- Inorganic Chemical - 18
- Element, Ion, or Isotope - 22
- Body Substance - 49
- Food - 188
- Conceptual Entity - 12
- Idea or Concept - 118
- Temporal Concept - 47
- Qualitative Concept - 124
- Quantitative Concept - 117
- Functional Concept - 113
- Body System - 49
- Spatial Concept - 49
- Body Space or Junction - 20
- Body Location or Region - 48
- Nucleotide Sequence - 11
- Geographic Area - 113
- Finding - 501
- Laboratory or Test Result - 27
- Sign or Symptom - 257
- Organism Attribute - 45
- Clinical Attribute - 31
- Intellectual Product - 837
- NLM Product or Service - 387
- Classification - 28
- Regulation or Law - 19
- Language - 11
- Occupation or Discipline - 103
- Biomedical Occupation or Discipline - 523
- Organization - 8
- Health Care Related Organization - 31
- Professional Society - 6
- Self-help or Relief Organization - 2
- Group Attribute - 22
- Group - 4
- Professional or Occupational Group - 109
- Population Group - 53
- Family Group - 15
- Age Group - 37
- Patient or Disabled Group - 7
- Event - 2
- Activity - 21
- Behavior - 11
- Social Behavior - 46
- Individual Behavior - 74
- Daily or Recreational Activity - 71
- Occupational Activity - 43
- Health Care Activity - 223
- Laboratory Procedure - 112
- Diagnostic Procedure - 211
- Therapeutic or Preventive Procedure - 844
- Research Activity - 75
- Molecular Biology Research Technique - 21
- Governmental or Regulatory Activity - 10
- Educational Activity - 60
- Machine Activity - 18
- Phenomenon or Process - 12
- Human-caused Phenomenon or Process - 16
- Environmental Effect of Humans - 9
- Natural Phenomenon or Process - 86
- Biologic Function - 18
- Physiologic Function - 31
- Organism Function - 175
- Mental Process - 137
- Organ or Tissue Function - 53
- Cell Function - 30
- Molecular Function - 21
- Genetic Function - 22
- Pathologic Function - 223
- Disease or Syndrome - 4,191
- Mental or Behavioral Dysfunction - 752
- Neoplastic Process - 870
- Cell or Molecular Dysfunction - 15
- Injury or Poisoning - 195
- Bibliographic Entity - 11,379
- Numeric ID - 1,423
- Foreign unresolved - 1,584


Maybe you will know Five Wins as Five in a row. Five Wins is very similar to TicTacToe.
Five Wins is really easy to play and it's very self-evident.
GitHub is a Git repository web-based hosting service, which offers all of the distributed revision control and source code management (SCM) functionality of Git as well as adding its own features. Unlike Git, which is strictly a command-line tool, GitHub provides a web-based graphical interface and desktop as well as mobile integration
Bootstrap is a free collection of tools for creating websites and web applications. It contains HTML and CSS-based design templates for typography, forms, buttons, navigation and other interface components, as well as optional JavaScript extensions.
Play is an open source web application framework, written in Scala and Java, which follows the model-view-controller (MVC) architectural pattern. It aims to optimize developer productivity by using convention over configuration, hot code reloading and display of errors in the browser


Delete Promotion
Home
Delete Promotion
BLOC 1
Promotion Name
Promotion Filter
Enable TABLE Filter
REGEX
Start Time
End Time
Description
BLOC 2
Reduction Mode
Reduct Value
Reduct Percentage
Enable Extend
Reduct Extend Value
Reduct Extend By Percentage
Back To List
Delete


Tracing Programs
The debugger provides the following features that help you trace through
a C/C++ program:
source-line stepping
machine instruction level single-stepping
single-stepping without diving into function calls (NEXT, or step over)
breakpoints
memory breakpoints (watchpoints)
examining the stack trace of the debugging program
examining the CPU registers of the debugging program
See also: Execution Control


All of our cupcakes are baked fresh daily using the freshest ingredients available. In addition to our daily flavors, we offer unique daily specials. Custom flavors and decor are also available by special order with 24 hours notice. Call<PHONE_NUMBER> for details or use our online form to start the ordering process now!
Tasty Gluten Free
Gorgeous certified gluten free desserts. There's no sacrificing taste for your diet here!
“Sure I eat my feelings, but I save the emotional roller coaster for dessert” ― Josh Stern
For everyday delights to your special day
one of a kind cake and more, call us!!
Please understand that completing this form is only the first step in placing an order. For same day orders or if you would like to speak to someone immediately regarding availability, pricing, please call<PHONE_NUMBER>.
Let us help you host your special day!
Testimonials
We love Che's Cakes, their cupcake ipsum dolor sit. Amet danish oat cake. Pastry ice cream wafer jelly-o pastry I love powder carrot cake brownie. - Ali
Che's Cakes is the place to go, I love danish cookie toffee dragée biscuit cake pudding muffin. Apple pie chocolate muffin brownie sesame snaps muffin I love. Caramels candy canes pudding gummi bears donut halvah tootsie roll tart. - Bob
They have the best stuff, I love topping chocolate cake apple pie lemon drops I love I love oat cake toffee. Cupcake I love sweet roll fruitcake danish cotton candy pie powder. Donut cheesecake jelly. Sugar plum marzipan cookie. - Susie


This Chrome extension is a project of
Wikipolicy
.
Developer comments/bug reports can be addressed to<EMAIL_ADDRESS>or
@abbynominal on twitter
.
This project is open-source; the underlying code is available at
the Wikipolicy github
.


Data Scientist - Newark, CA
Data Scientist
Newark, CA
Full-Time, Direct Hire (sorry, visa sponsorship not available at this time)
0-5 years experience
Marlette Funding, LLC is a financial technology (fintech) provider for the Best Egg® consumer loan platform. Marlette has experienced tremendous growth since its inception in 2014, with over $8B in consumer loans originated through the Best Egg platform.
Today, we’ve grown to over 200 employees, enjoy strong employee engagement scores and have been recognized numerous times as a best workplace.
The Job
The Data Scientist will be part of Decision Science team and will partner with various business units to research and develop machine-learning models or any other tools leveraged in the strategies.
Duties & Responsibilities
- Design, develop, document and maintain machine learning tools (e.g. models) to extract hidden insights in the vast amount of data that Credit, Marketing and/or Operations can use to make their respective strategies and processes more efficient and effective.
- Be the subject matter expert in machine learning algorithms and their applicability.
- From time to time, be involved in search of relevant big data and in assessing 3rd party vendor’s capabilities.
- Cultivate collaborative environment with other business units and internal stakeholders.
- Identify risk and opportunities in different areas of the business.
Requirements
Development
- Master’s or PhD in quantitative fields. Data science related major is a big plus.
- Proficiency in statistics (e.g. experimental design, hypothesis testing).
- Know how to obtain and use big data (structured and unstructured).
- Proficiency in machine learning techniques (Gradient Boosting, Random Forest, Neural Network, etc.). Proficiency in NLP and graph databases is a big plus.
- Experienced with end-to-end machine learning pipeline: From data extraction, feature engineering to model building, performance evaluation and implementation.
- Proficiency in SQL, Python and its machine learning libraries (panda, scikit-learn, matplotlib, etc.).
- Practical; grabbing small wins frequently.
- Desire and ability to learn new tools and techniques.
- Able to work independently and collaborate remotely.
Culture
- Be confident and willing to challenge status quo but also willing to concede and execute other’s ideas when necessary
- Capable of teaching and learning from others to promote continuity of knowledge and personal development
- Ability to work effectively independently and as a team member
- Excellent English written and verbal communication skills
- Able to travel to East Coast as needed.


API Technical Product Manager. Dev Advocate. Web Developer. Creator.
Background in education, communications, and community development.
Passionate about product management, payments, FinTech, and designing functional user experiences. Below are some of my projects.


Alex. Actor.
The quality of the T-shirt is excellent, it's very soft. The handmade ornament looks very cool. I bought the T-shirts as a gift for my friend, she loves it.
Mary Flex. CEO at Company.
It is the highest quality custom culture t-shirts. The craftwork is very professional, the pattern looks great. Nobody will get exactly the same T-shirt as me.


BUGSY A film review by Mark R. Leeper Copyright 1991 Mark R. Leeper
Capsule review: Barry Levinson has a real touch for putting myth on film. This is the story of the West Coast career of Ben "Bugsy" Siegel. It is glossy with an expensive look, but like most gangster films it gets many of its facts wrong. Rating: high +1 (-4 to +4). (Spoiler section follows review to set the record straight.)
Barry Levinson is a director who concentrates on putting myth onto film. Most commonly he mythologizes about his roots in Baltimore. He tells stories about his family and friends when he was growing up. Perhaps his best myth to date is the fantasy-sports story THE NATURAL. In GOOD MORNING, VIETNAM his mythical hero was the irreverent disk jockey who bucks the system. Perhaps it is not surprising that he would eventually turn to making films about one of America's two great mythical figures, the cowboy and the gangster. However, while cowboy films are on the skids, gangster films are on the upswing, so he picked a well-known gangster, Benjamin "Bugsy" Siegel. (In fact, this film ties in with MOBSTERS earlier this year in which Siegel was one of the four title characters. Also, Siegel is assumed by many to have been the real murderer of Bo Greenberg. BILLY BATHGATE begins showing Dutch Schultz committing the crime. Lucky Luciano has been a character in all three films; the three gangster films are all intertwined.) Levinson chose to tell the story of the ten years from 1937 to 1947, when Siegel was a major crime figure on the West Coast.
When BUGSY opens, Siegel (played by Warren Beatty) is being sent to Los Angeles on a twelve-day errand. Siegel is anxious to get together with boyhood friend George Raft (played by Joe Mantegna). Siegel is flush with easy money and decides to stay in California and buy himself the California lifestyle. He does this quite literally. Being told that a house belonged to famous opera singer Lawrence Tibbet, it takes Siegel less than five minutes to more or less force his way in and buy the house from Tibbet. Two things capture Bugsy's imagination. One is a minor actress, Virginia Hill (played by Annette Bening), and the other is a patch of barren desert where gambling is legal--it is called Las Vegas. Siegel decides to master each.
Beatty plays Siegel as a man of mercurial temperament. One moment he can be charming, the next he can be in a murderous rage. Many of his ideas are totally off the wall. He discovers that one of his lovers is married to a personal friend of Mussolini. He decides he wants to parlay this into a plot to murder Mussolini because he does not like what Mussolini stands for. On the other hand, his plan for a casino and landing strip at Las Vegas was visionary.
This is very much Beatty's show. Bening's Virginia Hill is very much like Bening's character in THE GRIFTERS. Harvey Keitel and Joe Mantegna-- both good actors--get seen without much opportunity to act. On the other hand, Elliot Gould, usually not such a fine actor, takes a small part as a forlorn gangster and nearly steals the whole film. Remarkably, even a great actor like Ben Kingsley (as Meyer Lansky) comes off wooden and uninteresting compared to Gould.
This film has been getting a lot of attention, probably in no small part due to the look of the set direction and the photography. The film is not afraid to show a steamy love scene as just two shadows on a screen. The photography catches the neon nights of Los Angeles's center or the foggy nights of its suburbs. The film has a well-done if somewhat subdued score from Ennio Morricone. Several of his themes are reminiscent of his UNTOUCHABLES score. Levinson's direction, however, does not sustain the mood. There is, for example, a rather silly scene of Siegel trying to run a birthday party for his young daughter while having a meeting with the syndicate in his living room. It only serves to damage the atmosphere.
Overall, in spite of several good reports, I have to say that BUGSY is just a stylish gangster film that generally tells a true story, though some of its facts are wrong. I rate it a +1 on the -4 to +4 scale.
**SPOILER**
It is clear that somebody somewhere along the line really did some research on Siegel. The story as we see it is basically correct, though there are numerous factual errors. The major flaw is in how Virginia Hill is portrayed. She is supposed to be an actress. In fact, she was an Alabama girl who came to Chicago to be a cooch dancer for the 1934 World's Fair. After that her occupation seemed to be mistress. She was handed around by several well-known gangsters including Frank Nitti, Frank Costello, and of course, Joey Adonis and Bugsy Siegel, with whom she finally settled down. The newspapers labeled her "the Queen of the Mob." She wasn't the queen, but she did run errands for the syndicate. No reference I can find indicates she ever was an actress. I know that the New York Times never listed her in the credits of a film, since her name does not appear in their directory.
Siegel did not have a plot to kill Mussolini. He did travel to Italy to try to sell Il Duce an experimental explosive which turned out not to work. He had to return Mussolini's investment of $40,000. While there he met Hermann Goering and Joseph Goebbels. It is an underworld legend that he took a dislike to them and started hatching a plot to murder them. (I found this story in two different references--honest!)
Harry "Big Greenie" Greenberg did not go to Los Angeles to ask Siegel's help. He went for a place to hide out. The syndicate found out Big Greenie was in California and asked Bugsy to arrange his death. Not content just to arrange, Siegel took two other men and killed Greenie himself. They shot him as he was returning home one day.
The idea of Bugsy staying in California was that of the syndicate, not Bugsy himself on a twelve-day trip. The story of buying the Tibbet house was fun, but probably untrue, since Bugsy only rented the house.
The Flamingo did not open on Christmas Day 1946, but the day after. The turnout was poor, but there were people coming and gambling. Further, Bugsy was not killed for several months and by then the casino was starting to show a profit. Virginia Hill was probably not bright enough to hide her embezzling from Siegel. And even if she was, she was depositing the money by shuttling frequently to Europe and personally making the deposits. It seems unthinkable that Bugsy would not have known and, in fact, planned the operation. Virginia was in Europe, not at the Flamingo, June 20, 1947, when Bugsy was shot. Bugsy was not alone, however; a friend with whom he had dinner was present. The film implies that Hill committed suicide in Austria as a result of Siegel's death. Actually, it was nineteen years, several lovers, and a husband later.
Mark R. Leeper att!mtgzy!leeper<EMAIL_ADDRESS>.
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


<vrmlist>
The <vrmlist>
element contains a set of <vrm>
elements for logging the version, release, and modification information for multiple
products or versions of products to which the topic applies.
Category: Prolog (metadata) elements


One of our Native Raptors (Birds of Prey)
There are a number of different hawks in Athens-Clarke County. This is one of the most frequently-seen hawk species. This hawk's distinctive piercing cry is the one heard most often in "old western" or "cowboy" movies.
Taxonomy
| Order |
Accipitriformes |
| Family |
Accipitridae |
| Genus |
Buteo |
| Species |
jamaicensis |
Diet
- In the wild, red tailed hawks eat a variety of small mammals and birds, but will also eat snakes, lizards and frogs.
- At Bear Hollow, they receive a rotation of mice, quail and chicks.
Range and Habitat
- Red tailed hawks live throughout North America. They favor interrupted landscapes – areas that have a mix of trees, open areas and water.
- They do not like thick forests, nor are they found in extremely cold places.
- In Georgia, they can be found throughout the entire state in all of the different habitats.
Physical Features
- Length of the body is between 18 and 26 inches. Red tailed hawks typically weigh about two to three and a half pounds. Females tend to be a bit larger than the males.
- Wingspan is just shy of five feet.
- The body is brownish on top, with a lighter colored belly. Usually darker spots and speckling and a band across the chest are present.
- The tail is a smooth brick red color. The legs and feet are bright yellow.
Life Span
- Red tailed hawks can live anywhere from 10 to 21 years. There doesn’t seem to be much difference in the wild or in captivity.
Reproduction
- The nest is big and bulky being composed of sticks and dried plant material. Often it is lined with bark fibers, pine needles or corn husks.
- One to three eggs are laid in March or April. The young hatch after about 30 days and are ready to leave the nest approximately 45 days after hatching.
Social Behavior
- They hunt from an elevated perch site and swoop down and grab their prey.
- Red tails are monogamous and will stay with the same mate for life.
Conservation
- A species of little conservation concern; however, they are completely protected by both state and federal laws as birds of prey.
- Very numerous and commonly seen. Population estimates place them at over 1 million birds in the United States alone.
Interpretive Information
- Generally shy birds that tend to fly rather than defend themselves or their nest.
- Its high piercing scream is the one that is used in movies to portray eagles and, to a lesser extent, vultures.
Bear Hollow’s Red-Tailed Hawk
- Male: Ohoopee
- Wild born in the Spring of 2002.
- Injured as a juvenile.
- Rehabilitated by a vet in Lithonia and arrived at Bear Hollow in 2003.
Credits and References
- Photo © Wade Sheldon
- General research by Sherrie Hines


Edit Profile
It is a long established fact that a reader will be distracted by the readable content of a page when looking at its layout. The point of using Lorem Ipsum is that it has a more-or-less normal distribution of letters, as opposed to using 'Content here, content here', making it look like readable English. Many desktop publishing packages and web page editors now use Lorem Ipsum as their default model text, and a search for 'lorem ipsum' will uncover many web sites still in their infancy. Various versions have evolved over the years, sometimes by accident, sometimes on purpose (injected humour and the like).
✕
My Tags
It is a long established fact that a reader will be distracted by the readable content of a page when looking at its layout. The point of using Lorem Ipsum is that it has a more-or-less normal distribution of letters, as opposed to using 'Content here, content here', making it look like readable English. Many desktop publishing packages and web page editors now use Lorem Ipsum as their default model text, and a search for 'lorem ipsum' will uncover many web sites still in their infancy. Various versions have evolved over the years, sometimes by accident, sometimes on purpose (injected humour and the like).
✕
Interested Events
It is a long established fact that a reader will be distracted by the readable content of a page when looking at its layout. The point of using Lorem Ipsum is that it has a more-or-less normal distribution of letters, as opposed to using 'Content here, content here', making it look like readable English. Many desktop publishing packages and web page editors now use Lorem Ipsum as their default model text, and a search for 'lorem ipsum' will uncover many web sites still in their infancy. Various versions have evolved over the years, sometimes by accident, sometimes on purpose (injected humour and the like).
✕
Going Events
It is a long established fact that a reader will be distracted by the readable content of a page when looking at its layout. The point of using Lorem Ipsum is that it has a more-or-less normal distribution of letters, as opposed to using 'Content here, content here', making it look like readable English. Many desktop publishing packages and web page editors now use Lorem Ipsum as their default model text, and a search for 'lorem ipsum' will uncover many web sites still in their infancy. Various versions have evolved over the years, sometimes by accident, sometimes on purpose (injected humour and the like).
✕
My Locations
It is a long established fact that a reader will be distracted by the readable content of a page when looking at its layout. The point of using Lorem Ipsum is that it has a more-or-less normal distribution of letters, as opposed to using 'Content here, content here', making it look like readable English. Many desktop publishing packages and web page editors now use Lorem Ipsum as their default model text, and a search for 'lorem ipsum' will uncover many web sites still in their infancy. Various versions have evolved over the years, sometimes by accident, sometimes on purpose (injected humour and the like).
✕
My Events
It is a long established fact that a reader will be distracted by the readable content of a page when looking at its layout. The point of using Lorem Ipsum is that it has a more-or-less normal distribution of letters, as opposed to using 'Content here, content here', making it look like readable English. Many desktop publishing packages and web page editors now use Lorem Ipsum as their default model text, and a search for 'lorem ipsum' will uncover many web sites still in their infancy. Various versions have evolved over the years, sometimes by accident, sometimes on purpose (injected humour and the like).
✕
Settings
It is a long established fact that a reader will be distracted by the readable content of a page when looking at its layout. The point of using Lorem Ipsum is that it has a more-or-less normal distribution of letters, as opposed to using 'Content here, content here', making it look like readable English. Many desktop publishing packages and web page editors now use Lorem Ipsum as their default model text, and a search for 'lorem ipsum' will uncover many web sites still in their infancy. Various versions have evolved over the years, sometimes by accident, sometimes on purpose (injected humour and the like).
✕


This is an default alert banner !!!!
This is an success alert banner
This is an success info alert banner
This is an warning alert banner
This is an error alert banner Start
X
This is an default alert banner !!!!
This is an success alert banner
This is an success info alert banner
This is an warning alert banner
This is an error alert banner Start
X


Before Change
def _update_experiment_caches(job_context: Dict) -> Dict:
Experiments have a cached value with the number of samples that have QN targets
generated, this value should be updated after generating new QN targets.
unique_experiments = []
all_samples = job_context["samples"]["ALL"]
for sample in all_samples:
if sample.experiments.all().count() > 0:
unique_experiments = list(set(unique_experiments + sample.experiments.all()[::1]))
for experiment in unique_experiments:
experiment.update_num_samples()
After Change
generated, this value should be updated after generating new QN targets.
organism_id = job_context["samples"]["ALL"][0].organism_id
organism_name = Organism.get_name_for_id(organism_id)
unique_experiments = Experiments.objects.all().filter(organism_names__contains=organism_name)
for experiment in unique_experiments:
experiment.update_num_samples()


Introduction, Microprocessor Architecture – 1: A Historical Background, The Microprocessor-Based Personal Computer
Systems. The Microprocessor and its Architecture: Internal Microprocessor Architecture, Real Mode Memory Addressing.
UNIT – 3 6 Hours
Programming – 1: Data Movement Instructions: MOV Revisited, PUSH/POP, Load-Effective Address, String Data Transfers,
Miscellaneous Data Transfer Instructions, Segment Override Prefix, Assembler Details.
Arithmetic and Logic Instructions: Addition, Subtraction and Comparison, Multiplication and Division.
UNIT – 4 6 Hours
Programming – 2: Arithmetic and Logic Instructions (continued): BCD and ASCII Arithmetic, Basic Logic Instructions, Shift and Rotate, String Comparisons. Program Control Instructions: The Jump Group, Controlling the Flow of the Program, Procedures and Introduction to Interrupts Machine Control and Miscellaneous Instructions.
PART B
UNIT – 5 6 Hours
Programming – 3: Combining Assembly Language with C/C++: Using Assembly Language with C/C++ for 16-Bit DOS Applications
and 32-Bit Applications Modular Programming, Using the Keyboard and Video Display, Data Conversions, Example Programs
UNIT – 8 7 Hours
I/O Interface – 2, Interrupts, and DMA: I/O Interface (continued): The Programmable Peripheral Interface 82C55,
Programmable Interval Timer 8254. Interrupts: Basic Interrupt Processing, Hardware Interrupts: INTR and INTA/; Direct Memory Access: Basic DMA Operation and Definition.
Text Book:
1. Barry B Brey: The Intel Microprocessors, 8th Edition, Pearson Education, 2009.
(Listed topics only from the Chapters 1 to 13)
Reference Books:
1. Douglas V. Hall: Microprocessors and Interfacing, Revised 2nd Edition, TMH, 2006.
2. K. Udaya Kumar & B. S. Umashankar : Advanced Microprocessors & IBM-PC Assembly Language Programming, TMH 2003.
3. James L. Antonakos: The Intel Microprocessor Family: Hardware and Software Principles and Applications, Cengage
Learning, 2007.


Usefully situated about halfway along the Northern coast of Sicily, Cefalu's old harbour has a pretty aspect and the town’s pale cream/white church is easily identifiable from the sea.
The harbour itself is several hundred metres to the Eastern side of the town/church promontory. The green light on the end of the mole has fallen into disrepair and does not operate. The mole end is quite broken and should be given a decent offing. The whole harbour has suffered significant silting and is wide open to the East.
There are no facilities here, however fuel is available.
Upon entry do not venture in too far, since depths gradually shoal.
The pontoons are generally a muddle of local lines and floats, make way with care. Do not be tempted to go alongside the hammerhead upon entry. There are many rusty and broken constructions here and any swell here can easily damage a yacht.
It is possible to anchor in the area around the two large rocks or “Scoglio”. Holding is good in thick muddy sand and this is probably a safer bet if arriving in the dark. Be sure to show a good anchor light since this area puts you somewhat in the middle of the main passage into the harbour. In any case traffic is mainly small local boats.
Whilst the above docking info. may put many off this port, with the right wind direction and some care this is a very pretty and “rustic” one night stopover to break up a long passage.
The local "Ormeggiatori" may or may not be bothered to come and see you.
There is a fuel pontoon here, however it is not accessible by boat, and a small sand bank can be seen directly in front of the fuel pump. The fuel station opening time is in the afternoon, but tends to be unreliable.
Last updated April 2012.


My favorite stuff
These are some of my favorite dog things.
Treats
These treats kick tail!!!
-
CBD Peanut Nutter Butters
-
Beggin' Strips
-
Cat food, especially Kitty's food
Parks
These are for sure the best parks to sleep at:
-
Irving Park
-
Peninsula Park
-
Jackson Park
Woof!
By the way, click here to read more about me and to see my available dates to play


Download Progress: {{msg}}
Download Contents: {{update}}
Result of analysis: {{analysis}}
notifications created {{data}}
http status code: {{status}}
http status code: {{status}}
http status code: {{status}}
http status code: {{status}}
http status code: {{status}}
Download Progress: {{msg}}
Download Contents: {{update}}
Result of analysis: {{analysis}}
http status code: {{status}}
http status code: {{status}}
http response data: {{lastOwnershipTime}}
http status code: {{status}}
http response data: {{data}}
http status code: {{status}}
Passed: {{pass}}
http status code: {{status}}
sent value: {{ownershipTime}}
returned field value: {{value}}
passed: {{pass}}
http status code: {{status}}
Returned Error: {{error}}
passed: {{pass}}
http status code: {{status}}
Returned Error: {{error}}
passed: {{pass}}
http status code for dailytransactionhistory.php post request: {{status}}
http response data for dailytransactionhistory.php post request: {{data}}
http status code for credituser.php post request: {{status2}}
http response data for credituser.php post request: {{data2}}
http status code for dailytransactionhistory.php post request: {{status}}
http response data for dailytransactionhistory.php post request: {{data}}
http status code for credituser.php post request: {{status2}}
http response data for credituser.php post request: {{data2}}


|
Dreamroam
0.0.0
A free and open source C++ 3D GameEngine
|
Public Attributes | |
| std::shared_ptr< Geometry > | geometryObj = nullptr |
| bool | isTransparent = false |
| float | alpha = 1.0f |
| bool | hasTexture = false |
| std::shared_ptr< Texture > | textureObj = nullptr |
| bool | active = true |
| bool | isThrowingShadow = true |
Additional Inherited Members | |
| Public Member Functions inherited from DCore::ComponentSystem::AComponent | |
| std::shared_ptr< AScene > | getCurrentScene () |
| Returns a handle to the active scene (to access their functionalities). More... | |
| std::weak_ptr< GameObject > | getCurrentGameObject () |
| Returns a pointer to the gameObject the component is running on/connected to. More... | |
| std::shared_ptr< GameObject > | instantiate () |
| Creates a new gameObject with name "". This GameObject is introduced to the current scene. More... | |
| std::shared_ptr< GameObject > | instantiate (std::string name) |
| Creates a new gameObject with a specified name. This GameObject is introduced to the current scene. More... | |
| Protected Attributes inherited from DCore::ComponentSystem::AComponent | |
| std::weak_ptr< GameObject > | gameObject |


{% extends "core/email/common.html" %} {% block content %}
Your subscription period for {{ organization.name }} has ended and you haven't yet renewed. If you'd like to continue using Read the Docs to manage your documentation, please renew the subscription for your organization now.
You can renew it here:
{{ production_uri }}{% url 'subscription_detail' organization.slug %}
Your builds will soon be disabled and access to your documentation will be removed.
If you need more help with Read the Docs for Business, we'd love to help you! Get in touch with us and let us know what problems you're having.
{% endblock %}


polymaker
branding, layout, typography, market research
Design the branding for polymaker, a 3D printing start-up with a lot of promise. Full design guide available >>>here<<<.
My journey start with polymaker in the summer of '13, which culminated in a 500% successful kickstarter project.
In the summer of '14 I went about designing a new brand for polymaker.
This is an alternate logo geometry that can be used for t-shirts, etc.
For the typography, I specified Gotham Rounded and Roboto, a pairing that scales to different sizes well and balances professionalism with character.
The three main colors I specified, Night Sky, Paper, and Foam, are very easy to adapt to multiple different situations.
I also provided a set of "experimental" colors which polymaker designers can use to change things up. These colors are guaranteed to resonate well with Night Sky, Paper, and Foam.
Then, I provided polymaker designers with a number of examples of how to implement the guidelines, from online ads, to letterheads and business cards.
In asian markets, it is common to have a cute animal as a brand ambassador. That's why I created Shelly, a cute snake that makes an appearance on our 404 pages, and customer service emails, etc.


Many people are not aware that tenant reps exist. Moreover, they might not understand why they need you. Empower yourself by helping your client understand that a good tenant rep:
- Has in-depth knowledge of leasing transactions and processes.
- Has updated exposure to their market, it's trends and common deal terms.
- Has the tools and relationships to obtain the best deals.
Value
How can you demonstrate your own value if you don't know what you bring to the table? First off, remember that you are helping your prospective clients to navigate a complex process filled with jargon, procedures and market trends. As a leasing agent it's your responsibility to convey the current market trends to your client. In this capacity, you are a market advisor. All the while, you are saving them time and money... and what does your service cost your client? Assuming you are compensated by the landlord, nothing!
Value can also be a personal characteristic that sets you apart from other tenant reps. Ask yourself what skills, knowledge and abilities you possess that can help your clients. Do you have proficient knowledge with building codes? Do you have experience with space planning? Are you an expert negotiator?
Sometimes value is less obvious. Maybe you just have a likeability factor that can help you close a great deal. Maybe your work ethic keeps your finger on the pulse of the market. Whatever the case, closely examine and write down your list. Determine what additional value you can add by furthering your education, skills and anything else you find to be of value to your clients. Once you have a clear understanding of what it is you really do, you can spend more time demonstrating your value rather than selling it.
To add value, compile a list of respected and highly ranked service providers to refer (e.g. attorneys, CPA's, contractors, space planners, moving companies, printers, graphic designers, etc.). Make sure you trust your referrals as their service will reflect on you.
Influence
Without influence, you are at your client's mercy. You need to get an idea of how much influence you will be able to develop during your first conversation. It will be up to you to position yourself in their eyes as the market expert. To do so, you need to convey that leasing is a time consuming and involved process, and you are the expert to alleviate this burden for them.
Agents have begun to take on more of an advisory role with their clients. In staying current with this shift, you need to find out:
- Will they listen to your advice?
- Will they follow your advice?
Advisement does little good if it goes unheard, but this is not about controlling your client. Rather, it's about controlling your own deals by determining the level of respect you command from your clients. While a relationship may take time to build, you should position yourself to command respect immediately. Some red flags to watch out for may include:
- The client talks over you.
- They think they are the expert.
- They draw from personal real estate experience which is outdated.
Personality conflicts aside, you can overcome these obstacles simply by being more knowledgeable. Many clients assume that size, price and location are the only determining factors for leasing. While they are important, you need to educate them on some of the complexities of leasing. This is often accomplished just by asking the requirement and qualification questions described earlier. Your expertise will begin to be established as you take them through these questions and relay current market standards in contrast to their preferences.
Use personal anecdotes to describe different scenarios to your client. For example, rather than saying there are provisions in the lease to be aware of and discuss with their attorney, you could relay a personal success story. For example, "I saved X amount of dollars for a client when their landlord sold their building because I had previously negotiated a cap on any NNN increases." Personal anecdotes demonstrate value through experience.
Please keep in mind, without knowledge you have no right to influence. Experience will provide the most valuable assets including broker and landlord relationships, property and market familiarity and past deal references. However, you have to begin somewhere. Pool together knowledge from colleagues and perform in-depth market analyses. This will give you a starting point to begin forming your relationships. Furthermore, sometimes you need to know when to stay out of the way. Let the deal progress and do not push to add value where you cannot.


1 - Select your PDF file:
2 - Press button to count pages:
Debug console
➔ Debug messages will be showed here


Before Change
pantsd_signal_handler = PailgunClientSignalHandler(client, pid=pid, timeout=timeout)
with ExceptionSink.trapped_signals(pantsd_signal_handler), STTYSettings.preserved():
// Execute the command on the pailgun.
return client.execute(self._args[0], self._args[1:], modified_env)
def _extract_remote_exception(self, pantsd_pid, nailgun_error):
Given a NailgunError, returns a Terminated exception with additional info (where
possible).
After Change
logger.debug(f"Connecting to pantsd on port {port} attempt {attempt}/{retries}")
with ExceptionSink.trapped_signals(pantsd_signal_handler), STTYSettings.preserved():
try:
output = rust_nailgun_client.execute(signal_fn, command, args, modified_env)
return output
// NailgunConnectionException represents a failure connecting to pantsd, so we retry
// up to the retry limit.
except native.lib.NailgunConnectionException as e:
if attempt > retries:
raise self.Fallback(e)
// Wait one second before retrying
logger.warning(f"Pantsd was unresponsive on port {port}, retrying.")
time.sleep(1)
attempt += 1


Things I'm Working On
Random Pokémon Generator (Javascript, jQuery, Flask, Python)
YouTube Video Grabber (Javascript, jQuery, YouTube Analytics API) - GitHub
A tool for grabbing any number of your YouTube video views per video (well, up to 600,000 videos per month) for any specified date range using YouTube's analytics API.
Cat Or Pizza (Rails, ProsgreSQL, Heroku)
I'm gathering data on an image database if a given image more repesents the concept "cat" or "pizza."
Here
is a google colab page with with training data gleaned from it. It can identify pizza relatively accurately. It's
less good at identifying cats.
This is largely a silly personal project so I can teach teach myself AI programming, and (to a lesser exent) Ruby on Rails.
Burns' Depression Test(Javascript, jQuery) - codepen.io
A digitized version of David D. Burns' depression quiz found in his book Feeling Good: The New Mood Therapy.
Which is the industry leading text on Cognative Behavioral Therapy. The book asks readers to take the test regularly
and keep track of the results. Rather than making photocopies of the quiz included in the book, I made a digital version
which scores itself for you.
Pickle Check(Python, Flask, Ajax, jQuery, Heroku)
This just tests whether or not you type "pickle." Mainly, this is setup to test my flask api hosted on heroku.
Open Legend Mount Creator(Javascript, jQuery)
A little app for creating mounts in the table-top RPG Open Legend.


✓ switch mouse/touch events according to user interaction type (in real time).
✓ if interaction type is mouse: switch mouse events on click events for menu items when nav is burger menu.
✓ if interaction type is touch: menu items toggle with touch events.
✓ you can define several width ranges (minimum: 2) and associate one or more ranges to the short menu and one or more ranges to the long menu.
✓ you can use callbacks when menu changes (after short menu, after long menu or after both: short and long).


HOME
ABOUT
CONTACT
Turity
YOUR SECURITY IS OUR PRIORITY!!
- this is a test client website for minor project
 REGISTER
    LOGIN


TagSLAM: Flexible SLAM with tags
TagSLAM is a ROS based package for simultaneous multi-camera localization and mapping (SLAM) with the popular AprilTags. In essence TagSLAM is a front-end to the GTSAM optimizer which makes it easy to use AprilTags for visual SLAM. For more technical details, have a look at this draft paper.
If you have a standard visual SLAM problem and want to use fiducial markers, you should probably NOT use TagSLAM because there are packages out there that are better suited. Consider for instance using UcoSLAM (disclosure: I haven’t actually used it yet). It runs in real-time, and uses keyframes, which should make it scale to larger trajectories. Unlike TagSLAM, it can use both, features in the wild, and tags for loop closure, not just tags. It’s a one-stop shop. Also TagSLAM can really only be used in real-time for relatively short trajectories, or if the mapping is done beforehand such that the location of the tags is known.
If TagSLAM is really inferior at hard core SLAM, then why should you ever use it? Here’s an example of TagSLAM being used to map tags in a dark tunnel, and localize a hexacopter, solely off of the tags:
There are hardly any features visible on the walls of the tunnel, meaning SLAM has to work off of the tags only. Few SLAM systems can support 4 cameras, but TagSLAM supports a virtually arbitrary number of cameras. In this example, there is no overlap between the field of view of some cameras, but TagSLAM can handle the extrinsic calibration of all cameras.
But really, the biggest reason to use TagSLAM is its flexibility. You can for instance combine VIO odometry from another component and feed it into TagSLAM, along with camera images (beware synchronization mentioned in Caveats and Limitations), to arrive at a loop-closed trajectory. Or you can have multiple robots carrying cameras. Or you can do state estimation, i.e. stick tags on objects and track their poses optically, without using a motion capture system. And you can do this while the camera is moving as well. Have a look below at some of the examples.
Mapping
Walk around with a camera and discover tag poses whenever multiple tags are visible in the same frame.
Localization
If you have the tags mapped already, you can enter their poses as fixed input, and now just localize off those tags.
Loop closing on visual odometry
If a visual/inertial odometry trajectory and the tag detections are computed from the same camera frames, TagSLAM can perform loop closure. In the following video, the tags have been mapped beforehand with a laser pointer.
Extrinsic camera calibration
TagSLAM supports synchronized (only!) multi-camera systems, and therefore can be used to find the relative poses of multiple cameras. No special calibration target is needed other than AprilTags scattered around. No overlap between the cameras field of view is required.
State estimation
Pose estimation of block from single, moving camera
TagSLAM can estimate the pose of an object that has tags attached to it. Here an example of a block pose estimation:\
Pose estimation of wand with eight static cameras
Another example of state estimation, at the UPenn Aviary, using 8 stationary cameras that are extrinsically calibrated off AprilTag boards, while simultaneously localizing a moving wand with tags attached to it:


nips nips2008 nips2008-182 nips2008-182-reference knowledge-graph by maker-knowledge-mining
Source: pdf
Author: Zhihua Zhang, Michael I. Jordan, Dit-Yan Yeung
Abstract: Kernel supervised learning methods can be uniﬁed by utilizing the tools from regularization theory. The duality between regularization and prior leads to interpreting regularization methods in terms of maximum a posteriori estimation and has motivated Bayesian interpretations of kernel methods. In this paper we pursue a Bayesian interpretation of sparsity in the kernel setting by making use of a mixture of a point-mass distribution and prior that we refer to as “Silverman’s g-prior.” We provide a theoretical analysis of the posterior consistency of a Bayesian model choice procedure based on this prior. We also establish the asymptotic relationship between this procedure and the Bayesian information criterion. 1
[1] C. Fern´ ndez, E. Ley, and M. F. J. Steel. Benchmark priors for Bayesian model averaging. a Journal of Econometrics, 100:381–427, 2001.
[2] E. I. George and R. E. McCulloch. Approaches for Bayesian variable selection. Statistica Sinica, 7:339–374, 1997.
[3] R. E. Kass and A. E. Raftery. Bayes factors. Journal of the American Statistical Association, 90:773–795, 1995.
[4] F. Liang, R. Paulo, G. Molina, M. A. Clyde, and J. O. Berger. Mixtures of g-priors for Bayesian variable selection. Journal of the American Statistical Association, 103(481):410–423, 2008.
[5] B. W. Silverman. Some aspects of the spline smoothing approach to non-parametric regression curve ﬁtting (with discussion). Journal of the Royal Statistical Society, B, 47(1):1–52, 1985.
[6] M. Smith and R. Kohn. Nonparametric regression using Bayesian variable selection. Journal of Econometrics, 75:317–344, 1996.
[7] G. Wahba. Spline Models for Observational Data. SIAM, Philadelphia, 1990.
[8] M. West. Bayesian factor regression models in the “large p, small n” paradigm. In J. M. Bernardo, M. J. Bayarri, J. .O Berger, A. P. Dawid, D. Heckerman, A. F. M. Smith, and M. West, editors, Bayesian Statistics 7, pages 723–732. Oxford University Press, 2003.
[9] A. Zellner. On assessing prior distributions and Bayesian regression analysis with g−prior distributions. In P. K. Goel and A. Zellner, editors, Bayesian Inference and Decision Techniques: Essays in Honor of Bruno de Finetti, pages 233–243. North-Holland, Amsterdam, 1986.


amazon-chime-sdk
/
com.amazonaws.services.chime.sdk.meetings.session
/
MeetingSession
/
audioVideo
audioVideo
abstract
val
audioVideo
:
AudioVideoFacade


Melody
Melody
Toggle navigation
Home
About
Album
Artists
Gallery
Contact
Lorem Ipsum
variations, R&B
Lorem Ipsum
variations, R&B
Lorem Ipsum
variations, R&B
Lorem Ipsum
variations, R&B
Lorem Ipsum
variations, R&B
Lorem Ipsum
variations, R&B
Lorem Ipsum
variations, R&B
Lorem Ipsum
variations, R&B


TABLE OF INTERACTIONS WITH
VIDARABINE
From the French ANSM drug interactions document of September 2016, p. 229
VIDARABINE RxNorm: 11194 ATC: J05AB03 S01AD06 |
ALLOPURINOL RxNorm: 519 ATC: M04AA01 |
Increased risk of neurological disorders (trembling, confusion) due to partial inhibition of the metabolism of the antiviral |
Not recommended |


"NAUGHTY FIGS "(Jeremiah 24:2). “The bad figs may have been such either from having decayed, and thus been reduced to a rotten condition, or as being the fruit of the sycamore, which contains a bitter juice” (Tristram, Nat. Hist.). The inferiority of the fruit is here referred to as an emblem of the rejected Zedekiah and his people.
"NAUGHTY FIGS "(Jeremiah 24:2). “The bad figs may have been such either from having decayed, and thus been reduced to a rotten condition, or as being the fruit of the sycamore, which contains a bitter juice” (Tristram, Nat. Hist.). The inferiority of the fruit is here referred to as an emblem of the rejected Zedekiah and his people.


Vue.js (pronounced /vjuː/, like view) is a library for building interactive web interfaces. The goal of Vue.js is to provide the benefits of reactive data binding and composable view components with an API that is as simple as possible.
These examples with slight modifications have been used from the official website to demonstrate the work of the library Vue.js.
This example uses Firebase as the data persistence backend. Example is a fully spec-compliant TodoMVC implementation in under minimum effective lines of JavaScript (excluding comments and blank lines).
This example can be found here
This is simple Markdown editor. Markdown is a way to style text on the web. You control the display of the document; formatting words as bold or italic, adding images, and creating lists are just a few of the things we can do with Markdown.
This example can be found here
This example fetches latest Silex-MVC commits data from GitHub’s API and displays them as a list. You can switch between the master and other branches. GitHub is a code hosting platform for version control and collaboration. It lets you and others work together on projects from anywhere.
This example can be found here
This example uses Firebase as the data persistence backend and syncs between clients in real time (you can try opening it in multiple browser tabs). In addition, it performs instant validation using computed properties and triggers CSS transitions when adding/removing items.
This example can be found here
This is an example of creating a reusable grid component and using it with external data.
This example can be found here
This is a HackerNews clone built upon HN’s official Firebase API. In partnership with Firebase, we're making the public Hacker News data available in near real time. Firebase enables easy access from Android, iOS and the web.
This example can be found here


backbone cabal
`Prev `__
B
`Next `__
--------------
**backbone cabal**: n.
A group of large-site administrators who pushed through the `*Great
Renaming* <../G/Great-Renaming.html>`__ and reined in the chaos of
`*Usenet* <../U/Usenet.html>`__ during most of the 1980s. During most of
its lifetime, the Cabal (as it was sometimes capitalized) steadfastly
denied its own existence; it was almost obligatory for anyone privy to
their secrets to respond “There is no Cabal” whenever the existence or
activities of the group were speculated on in public.
The result of this policy was an attractive aura of mystery. Even a
decade after the cabal `*mailing list* <../M/mailing-list.html>`__
disbanded in late 1988 following a bitter internal catfight, many people
believed (or claimed to believe) that it had not actually disbanded but
only gone deeper underground with its power intact.
This belief became a model for various paranoid theories about various
Cabals with dark nefarious objectives beginning with taking over the
Usenet or Internet. These paranoias were later satirized in ways that
took on a life of their own. See `*Eric
Conspiracy* <../E/Eric-Conspiracy.html>`__ for one example. Part of the
background for this kind of humor is that many hackers cultivate a
fondness for conspiracy theory considered as a kind of surrealist art;
see the bibliography entry om *Illuminatus!* for the novel that launched
this trend.
See `*NANA* <../N/NANA.html>`__ for the subsequent history of “the
Cabal”.
--------------
+------------------------------+----------------------------+----------------------------------+
| `Prev `__ | `Up <../B.html>`__ | `Next `__ |
+------------------------------+----------------------------+----------------------------------+
| back door | `Home <../index.html>`__ | backbone site |
+------------------------------+----------------------------+----------------------------------+


|
|
How To Load & Write U3DThis page describes some common procedures for how to load and write U3D files.
Loading a FileThis section describes the process of loading a file. Here is a brief overview and diagram:
Loading: ReadBuffer1. Create and setup a Read Buffer component
Loading: Load Manager2. Create and setup a Load Manager component
Loading: Call Load3. Call the Load Manager's Load function
Sample: Load ManagerHere is a simple code example with no error checking:
// Create Load Manager and get main interface IFXLoadManager *pLM = NULL; IFXCreateComponent( CID_IFXLoadManager, IID_IFXLoadManager, ( void** ) &pLM ); // Initialize Load Manager with Core Services pLM->Initialize( pCoreServices ); // Create Read Buffer and get buffer interface IFXReadBufferX *pRB = NULL; IFXCreateComponent( CID_IFXStdioReadBufferX, IID_IFXReadBufferX, ( void** ) &pRB ); // Get IFXStdio interface IFXStdio *pStdio = NULL; pRB->QueryInterface( IID_IFXStdio, ( void** ) &pStdio ); // Open file pStdio->Open( pFileName ); // Load file pLM->Load( pRB, // Load information from this Read Buffer loadAtomic, // Attempt to load all at once? "myScope", // Scope used for names collision resolution IFXCOLLISIONPOLICY_PREPENDALL ); // Policy used for handling object names
Writing a FileThis section describes the process of writing a file. Here is a brief overview and diagram:
Writing: Create Scene1. Create the scene
Writing: Mark2. Mark objects for writing
Marked objects are depicted in the diagram with an asterick (*). Writing: Write Manager3. Create and setup Write Manager
Writing: Write Buffer4. Create and setup Write Buffer object
Writing: Write5. CallpWriteManager->Write()
Sample: Write ManagerHere is a simple code example with no error checking:
// Create Write Manager and get main interface IFXWriteManager *pWM = NULL; IFXCreateComponent( CID_IFXWriteManager, IID_IFXWriteManager, ( void** ) &pWM ); // Initialize Write Manager with Core Services pWM->Initialize( pCoreServices ); // Create Write Buffer and get buffer interface IFXWriteBufferX *pWB = NULL; IFXCreateComponent( CID_IFXStdioWriteBufferX, IID_IFXWriteBufferX, ( void** ) &pWB ); // Get IFXStdio interface IFXStdio *pStdio = NULL; pWB->QueryInterface( IID_IFXStdio, ( void** ) &pStdio ); // Open file pStdio->Open( pFileName ); // Mark all Scene Graph resources pSceneGraph->Mark(); // Write the file pWM->Write( pWB, IFXEXPORT_EVERYTHING ); // Close buffer pStdio->Close();
Related Information
|


--- layout: search title: Search Jekyll Simple permalink: /search-jekyll-simple/ description: Search of Posts power_supply_url: "https://github.com/christian-fei/Simple-Jekyll-Search" power_supply_label: "Simple-Jekyll-Search" ---


This website briefly presents recent data pertaining to state legislation on voting. Several important laws that impact voting abilities are presented in the map below and explained in detail afterwards. Some states pass laws making it easier to vote while others pass stricter laws. This data is especially relevant now as many states have gotten stricter with their voting laws, with one important moment being the conclusion of the Shelby County v. Holder Supreme Court case in 2013. A key dimension in the issue of voting laws is that of voter suppression, the systematic disabling and discouragement of minority votes.
No State Selected
People need to meet certain requirements before they are able to vote in the United States. One requirement is that one must be a U.S. citizen. Citizenship eligibility has changed throughout the nation's history, which, among other privileges, has affected voting eligibilties of certain people. The Fourteenth Amendment largely contributed toward widespread African American eligibility. As another example, the Indian Citizenship Act of 1924 was the first step toward a U.S.-born Native Americans vote.
In both of these cases, however, other laws had to pass and be implemented for mass enablement, especially at the state level. For example, individual states still prohibited Native Americans from voting despite their status as citizens. This illustrates the importance of legislation and policy aligning at all levels for true voter empowerment.
Many of the recent laws passed at the state level relate to the other basic requirements of voting. The following statements illustrate the connection between state laws and nationwide voting requirements. One must be 18 years old in order to vote, but some states make it easier for 18 year old people to vote than others. One has to to vote in their assigned district, which states differentailly enforce. Registration is another prerequisite for voting, which also differs from state to state.
Judges of the state of Wisconsin made headlines in 2020 during the COVID-19 pandemic for ruling in favor of a conventional election day. At the state level, people were confronted with the decision to vote in a potentially deadly environment or miss out altogether. Many people opted out of voting, and some of those who voted possibly fell ill while doing so. This was not the result of laws in same way as the other examples are, but this was a state-level decision that contributed to voter discouragement by holding an in-person election during a viral outbreak.
Indeed, it is at the state level where many of the federal decisions come to fruition or become practically useless. Today, state governments enjoy greater influence over voting laws than they did before, largely because of the 5-4 Supreme Court decision in Shelby County v. Holder.
The Fifteenth Amendment protects citizens from discriminatory voting prohibitions, most notably racist prohibitions. Following the ratification of the Fifteenth Amendment, the States took advatange of their rights, courtesy of the Tenth Amendment and Article Four of the Consitution, to undo its enfranchisement. Voter suppression infamously manifested as literacy tests and poll taxes, along with other tactics that usually hindered black Americans from voting. Nearly a century after the Fifteenth Amendment, one of the country's most important voting rights acts (1965) prohibited certain districts from changing their election laws. The Voting Rights Act of 1965 targeted very suppressive districts. Whenever these districts changed their election processes, they were obligated to report their intention to not negatively impact minorities. The Voting Rights Act of 1965 targeted the places which had voting tests and less than a 50 % voter turnout in 1964.
However, the constitutionality of the Voting Rights Act of 1965 was brought into question in Shelby County v. Holder. The court case had two sections from the Act that were of interest. The sections made places prove to the either the Attorney General or a D.C. district court judge panel that they were not discriminating against minorites. The 5-4 decision was that Section 4 of the Voting Rights Act of 1965 was unconstitutional. To justify the decision, the judges said that the discrimination targeted by the Section was no longer an issue. Once that decision passed, states no longer had to answer to an authority concerning the potentially negative effects of their election laws. The result has been stricter laws, which, like before, act to suppress minority votes.
Early voting, as in voting before election day, in the United States initially served to accommodate rural voters who had to travel far to cast a ballot. This practice dwindled into late 20th century, with many states only offering an option for absentee voting. Even then, an excuse had to provided, as is still the case in some states. There are drawbacks to early in-person voting such as greater costs for campaigning and the possibility of prematurely casting a vote. The recent resurgence of early voting in most states has been largely an accessibility issue. Many Americans do in fact vote before election day, with probably a third of them doing so during the 2010s. While there are a number of reasons why people might vote early, one obvious motivation is to avoid the struggle of voting on a work day. The Bureau of Labor Statistics releases information relevant to this topic. Certain lines of work yield less days off than others, with minority populations typically occupying these less accommodating positions. There are other obstacles to voting on a single predefined day, such as obligations to caretaking. Lastly, just as rural voters were given a larger window of time by the first implementations of early voting, rural voters today need to set aside more time if they wish to reach a polling place.
Provisional ballots give people a chance to vote when they otherwise couldn't. Usually, a person acquires a provisional ballot when their voting eligibility cannot be validated. These special ballots are typically set aside and then determined to be either legitimate or not. States have different procedures for provisional votes. The end results of provisional ballots cast in the wrong precinct are depicted in the map above. However, the states also differ in what can warrant a provisonal ballot. Some states, for example, give out provisional ballots when a person's name or address changes. Some states will not give provisional ballots under such circumstances. There are also various methods for addressing provisional ballots at a later date, which either requires some action from the voter, such as definitively proving eligibility, or a careful inspection by local elections officials. Finally, there are different reasons for nullifying provisional ballots. One of the most common reasons is that the voter is not registered. Some places are stricter, requiring voters to show a valid photo ID in a certain time frame lest the provisional ballot is rejected.
All states have paper registration, but not all states have online registration. Online registration generally costs less per applicant than paper registration. This probably explains the currently high adoption rate of onilne registration at the state level. For voters, online regstration methods offer convenience and expedience. However, this assumes that a given voter can access and navigate the internet. Also, some voters are uncomfortable submitting their sensitive information online. Therefore, states that offer both paper and online registration are the most enabling.
Out of the laws explored here, voter ID laws are probably most associated with current attempts at voter suppression. The more identification requirements there are, the less racial minorities, low-income populations, and elderly populations are able to vote. Stricter laws result in lower participation across the board, but the demographics mentioned are disproportionately affected. A key obstacle for these groups are the costs of getting photo IDs. Also, less abled people are not as likely to gather all necessary documents for their state and report to a polling place on time. Critics of these new laws point out that the country was improving its voting policies before the recent wave of restrictive state legislation. Promoters of these new laws often point to voter fraud as a reason for having them.


--- title: Most crimes don't get solved, but for different reasons author: 'Matt Ashby' date: '2019-05-01' draft: true slug: detection-rates categories: [] tags: - police - criminal justice ---
Most property crimes aren’t solved because no suspect is ever identified, while for violent crimes (except murder) a suspect is usually identified but there is not enough evidence to prosecute.
larger image | PDF | annotated R code to produce this chart
Data source: Home Office, 2018


Not sure about what to do? We got you covered just click on link of corresponding emotion you are feeling.