pyidwm.helper package¶
Submodules¶
pyidwm.helper.Geometry module¶
-
class
pyidwm.helper.Geometry.
Geometry
[source]¶ Bases:
object
-
static
create_buffer
(lonValue, latValue, radiusValue, num_vertices=8)[source]¶ Create a circle (approximate by a polygon) from center and radius in WGS84 :param lonValue: {CoordinateValue} longitude of the center of the circle :param latValue: {CoordinateValue} latitude of the center of the circle :param radius: {DistanceValue} radius of the circle :param num_vertices: number of vertices to approximate the circle with a polygon :return:
-
static
create_great_circular_arc
(projection, e_x, e_y, num_points=20)[source]¶ Create the great circular arc (WGS84) using the provided aeqd projection (from the starting point) and the ending point :param projection: aeqd projection starting from the first point (lon,lat) => (0,0) :param e_x: x coordinate of the final point in the aeqd projection :param e_y: y coordinate of the final point in the aeqd projection :param num_points: number of vertices for the output linestring (default is 20) :return:
-
static
create_great_circular_arc_from_2_points
(s_lon_value, s_lat_value, e_lon_value, e_lat_value, num_points=20)[source]¶ Create the great circular arc (WGS84) from 2 points :param s_lon_value: longitude of the starting point :param s_lat_value: latitude of the starting point :param e_lon_value: longitude of the ending point :param e_lat_value: latitude of the ending point :param num_points: number of vertices for the output linestring (default is 20) :return:
-
static
create_great_circular_arc_from_point_azimuth_distance
(s_lon_value, s_lat_value, azimuth, distance_value, num_points=20)[source]¶ Create the great circular arc (WGS84) from the starting point, the azimuthal direction (in degrees) and the final distance :param s_lon_value: longitude of the starting point :param s_lat_value: latitude of the starting point :param azimuth: direction of the path in degrees (0 is toward north, 90 is toward east, 180 is toward south, 270 is toward west) :param distance_value: maximum distance to reach :param num_points: number of vertices for the output linestring (default is 20) :return:
-
static
explodeToArray
(geometry)[source]¶ Explode a geometry or a multi geometry to an array of single geometries :param geometry: geometry to explode :return:
-
static
get_distance
(projection, lon_value, lat_value, unit=<Distance.METERS: 0>)[source]¶ Return the distance of a given point from the origin of the given projection :param projection: custom aeqd projection :param lon_value: longitude value of the point :param lat_value: latitude value of the point :param unit: unit of measure for the distance :return:
-
static
pyidwm.helper.Projection module¶
-
class
pyidwm.helper.Projection.
Projection
[source]¶ Bases:
object
-
static
get_aeqd_proj
(lon, lat, angle_mode=None)[source]¶ What we will need for real great circles in a GIS is something that preserves distances and angles. We use an azimuthal equidistant projection which needs to be defined for a custom starting point. :param lon: longitude of the starting point :param lat: latitude of the starting point :param angle_mode: units of the angles (degrees/radians) :return:
-
static
get_aeqd_wkt_proj
(lon, lat, angle_mode=None)[source]¶ What we will need for real great circles in a GIS is something that preserves distances and angles. We use an azimuthal equidistant projection which needs to be defined for a custom starting point. :param lon: longitude of the starting point :param lat: latitude of the starting point :param angle_mode: units of the angles (degrees/radians) :return:
-
static


This example, we created a example with vectors that shape a sequence of the lines. Also was added a color in background of scene.
var scene;
var camera;
var width = 600;
var height = 400
renderer = new THREE.WebGLRenderer({ antialias: true });
renderer.setClearColorHex(0xDDDDDD, 1);
renderer.setSize(width, height);
document.getElementById("container").appendChild(renderer.domElement);
scene = new THREE.Scene();
camera = new THREE.PerspectiveCamera(65, width / height, 1, 100);
camera.position.z = 5;
scene.add(camera);
var geometry = new THREE.Geometry();
geometry.vertices.push(new THREE.Vector3(-1.0, 1.0, 0.0));
geometry.vertices.push(new THREE.Vector3(1.0, 1.0, 0.0));
geometry.vertices.push(new THREE.Vector3(1.0, -1.0, 0.0));
geometry.vertices.push(new THREE.Vector3(-1.0, -1.0, 0.0));
geometry.vertices.push(new THREE.Vector3(-1.0, 1.0, 0.0));
var material = new THREE.LineBasicMaterial({ color: 0x000000 });
var line = new THREE.Line(geometry, material);
line.rotation.x = 40;
line.rotation.z = 40;
scene.add(line);
renderer.render(scene, camera);


{% extends "base.html" %} {% block content %} {% block meta %}
{{option.Degree}}
{% if ',' in option.researchInterests %} {% for interest_ in option.researchInterests.split(',')[:3] %} {{interest_}} {% endfor %} {% endif %}Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it t
{% if ',' in option.researchInterests %}


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On the Subject of Ultimate Custom Night
Sad fact: no pineapple animatronic exists in FNAF.
- This module consists 3 states based on the original Ultimate Custom Night game: Cameras; Vent system; Duct system
- You can switch between them using the buttons on the left.
- After every other non-ignored module on the bomb is solved, the module will automaticaly disarm.
Camera system
- Every time you solve a module the vacuum cleaner (Mr. Hugs) will move to another camera. Your job is to find him and close the door below that camera
- One door can be closed at a time.
- If you solve a module and that door isn't closed you'll get a strike.
Vent system
- Two animatronics are in the vent. Mangle is the white fox; Withered Chica is the duck.
- There are 3 routes which they can move on. Your job is to snare that route with the light squares on the end of them before they get trough it.
- One snare can be active at a time.
- Withered chica always goes on the right route, but Mangle always goes on a random route.
- If any of them gets to the end of the route you'll get a strike. (And the animatronic will go to the start again)
Duct system
- Two animatronics are in the duct. (Pink is Pigpatch; Purple is Mr. Hippo). Your job is to prevent them from reaching the end.
- They can only get trough the duct that is open :P
- Press the "Open Duct" button that is lit to open that duct and close the other!
- You can place audio lure in every corner to lure the animatronics there.
- Audio lure can be only in 1 corner at a time.
- If any of them reaches the open end of the duct you'll get a strike.


Llyn Llech Owen
THERE was a man living on Mynydd Mawr, in Carmarthenshire, who had a magic well. Over this he kept a large flat stone, which he was always careful to replace over its mouth after he had satisfied himself or his beast with water.
One summer evening Owen Glyndwr was passing through these parts of the ancient kingdom of South Wales, and he and his horse were weary and spent. He chanced upon this well, and removing the covering stone, drank long and deep draughts of the bubbling fountain, and gave to his parched steed. He then went on his way, without sealing the spring, and lodged for the night at Dyllgoed Farm close by. In the night he was awakened by the sound of flowing waters, and looking out saw a dark lake where the emerald meadows had smiled, white with flocks. Saddling his horse, he rode round the flood, and the horse's track in galloping round the water put a stop to its further overflow. This is the origin of Llyn Llech Owen, the Lake of Owen's Flag.


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java.lang.Object org.newdawn.slick.util.pathfinding.AStarPathFinder
public class AStarPathFinder
A path finder implementation that uses the AStar heuristic based algorithm to determine a path.
| Constructor Summary | |
|---|---|
AStarPathFinder(TileBasedMap map,
int maxSearchDistance,
boolean allowDiagMovement)
Create a path finder with the default heuristic - closest to target. |
|
AStarPathFinder(TileBasedMap map,
int maxSearchDistance,
boolean allowDiagMovement,
AStarHeuristic heuristic)
Create a path finder |
| Method Summary | |
|---|---|
protected void |
addToClosed(org.newdawn.slick.util.pathfinding.AStarPathFinder.Node node)
Add a node to the closed list |
protected void |
addToOpen(org.newdawn.slick.util.pathfinding.AStarPathFinder.Node node)
Add a node to the open list |
Path |
findPath(Mover mover,
int sx,
int sy,
int tx,
int ty)
Find a path from the starting location provided (sx,sy) to the target location (tx,ty) avoiding blockages and attempting to honour costs provided by the tile map. |
int |
getCurrentX()
Get the X coordinate of the node currently being evaluated |
int |
getCurrentY()
Get the Y coordinate of the node currently being evaluated |
protected org.newdawn.slick.util.pathfinding.AStarPathFinder.Node |
getFirstInOpen()
Get the first element from the open list. |
float |
getHeuristicCost(Mover mover,
int x,
int y,
int tx,
int ty)
Get the heuristic cost for the given location. |
float |
getMovementCost(Mover mover,
int sx,
int sy,
int tx,
int ty)
Get the cost to move through a given location |
Mover |
getMover()
Get the object being moved along the path if any |
int |
getSearchDistance()
Get the distance that has been searched to reach this point |
int |
getSourceX()
Get the x coordinate of the source location |
int |
getSourceY()
Get the y coordinate of the source location |
protected boolean |
inClosedList(org.newdawn.slick.util.pathfinding.AStarPathFinder.Node node)
Check if the node supplied is in the closed list |
protected boolean |
inOpenList(org.newdawn.slick.util.pathfinding.AStarPathFinder.Node node)
Check if a node is in the open list |
protected boolean |
isValidLocation(Mover mover,
int sx,
int sy,
int x,
int y)
Check if a given location is valid for the supplied mover |
protected void |
removeFromClosed(org.newdawn.slick.util.pathfinding.AStarPathFinder.Node node)
Remove a node from the closed list |
protected void |
removeFromOpen(org.newdawn.slick.util.pathfinding.AStarPathFinder.Node node)
Remove a node from the open list |
| Methods inherited from class java.lang.Object |
|---|
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
| Constructor Detail |
|---|
public AStarPathFinder(TileBasedMap map, int maxSearchDistance, boolean allowDiagMovement)
map
- The map to be searchedmaxSearchDistance
- The maximum depth we'll search before giving upallowDiagMovement
- True if the search should try diaganol movementpublic AStarPathFinder(TileBasedMap map, int maxSearchDistance, boolean allowDiagMovement, AStarHeuristic heuristic)
heuristic
- The heuristic used to determine the search order of the mapmap
- The map to be searchedmaxSearchDistance
- The maximum depth we'll search before giving upallowDiagMovement
- True if the search should try diaganol movement| Method Detail |
|---|
public Path findPath(Mover mover, int sx, int sy, int tx, int ty)
PathFinder
findPath
in interface PathFinder
mover
- The entity that will be moving along the path. This provides
a place to pass context information about the game entity doing the moving, e.g.
can it fly? can it swim etc.sx
- The x coordinate of the start locationsy
- The y coordinate of the start locationtx
- The x coordinate of the target locationty
- Teh y coordinate of the target location
PathFinder.findPath(Mover, int, int, int, int)
public int getCurrentX()
public int getCurrentY()
protected org.newdawn.slick.util.pathfinding.AStarPathFinder.Node getFirstInOpen()
protected void addToOpen(org.newdawn.slick.util.pathfinding.AStarPathFinder.Node node)
node
- The node to be added to the open listprotected boolean inOpenList(org.newdawn.slick.util.pathfinding.AStarPathFinder.Node node)
node
- The node to check for
protected void removeFromOpen(org.newdawn.slick.util.pathfinding.AStarPathFinder.Node node)
node
- The node to remove from the open listprotected void addToClosed(org.newdawn.slick.util.pathfinding.AStarPathFinder.Node node)
node
- The node to add to the closed listprotected boolean inClosedList(org.newdawn.slick.util.pathfinding.AStarPathFinder.Node node)
node
- The node to search for
protected void removeFromClosed(org.newdawn.slick.util.pathfinding.AStarPathFinder.Node node)
node
- The node to remove from the closed listprotected boolean isValidLocation(Mover mover, int sx, int sy, int x, int y)
mover
- The mover that would hold a given locationsx
- The starting x coordinatesy
- The starting y coordinatex
- The x coordinate of the location to checky
- The y coordinate of the location to check
public float getMovementCost(Mover mover, int sx, int sy, int tx, int ty)
mover
- The entity that is being movedsx
- The x coordinate of the tile whose cost is being determinedsy
- The y coordiante of the tile whose cost is being determinedtx
- The x coordinate of the target locationty
- The y coordinate of the target location
public float getHeuristicCost(Mover mover, int x, int y, int tx, int ty)
mover
- The entity that is being movedx
- The x coordinate of the tile whose cost is being determinedy
- The y coordiante of the tile whose cost is being determinedtx
- The x coordinate of the target locationty
- The y coordinate of the target location
public Mover getMover()
PathFindingContext
getMover
in interface PathFindingContext
PathFindingContext.getMover()
public int getSearchDistance()
PathFindingContext
getSearchDistance
in interface PathFindingContext
PathFindingContext.getSearchDistance()
public int getSourceX()
PathFindingContext
getSourceX
in interface PathFindingContext
PathFindingContext.getSourceX()
public int getSourceY()
PathFindingContext
getSourceY
in interface PathFindingContext
PathFindingContext.getSourceY()
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Most of the time, we failed to keep track of and organize the documents or articles in our system. It is obvious whenever we need to write a paper that requires extensive research. Organizing our resources, articles, and documents would be a great help to easily write the paper. Similarly, school publications could have a big benefit if only they have a cost-efficient way of organizing their articles. They can save a lot of time by having a systematic way of managing and organizing their articles.
This project aims to develop an application that manages articles and documents of an organization or an individual using the concept of object-oriented programming. This will use Java with FXML as its programming language, and MS Access as its database. The feature of this project was the capability of the users to manage their work easily by signing in with their accounts. The system allows the user to add, edit, print, delete and update the specific article. This also permits the user to add notes to keep track of the important reminders for that article/document.
What We OfferLooks great on any screen size!
Freshly redesigned for your needs.
Millions of users the AMS!
There's no newbie with this software.
Article Management System is an application that can organize and manage articles and documents. Due to the limited time, knowledge and resources, this application was not able to have many features and fulfill the expected outcome so the developers are looking forward to improving this application by giving more attributes or aspects like scanning the articles, having QR code and has the ability to share or distribute it to other users. Scanning the articles and having a QR code would be a perfect feature for this application because it will help the users in an easier way like once they printed a specific article, it will have its own QR code then we can scan its code to be able to see that article in the system. Also, the developers aim to implement a fast searching for the article in further development.


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Yesod Devel
The application isn’t built
We’ll keep trying to refresh every second
Meanwhile, here is a motivational message:
You are a beautiful person making a beautiful web site.
Keep going, you’ve nearly fixed the bug!
Check your posture, don’t lean over too much.
Get a glass of water, keep hydrated.


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The proxy situation on Android is [an
embarrasment](http://code.google.com/p/android/issues/detail?id=1273). It's
scarcely credible, but Android didn't have a global proxy setting at all until
quite recently, and it's still not supported on many common Android versions.
In the meantime the app ecosystem has grown used to life without this basic
necessity, and many apps merrily ignore it even if it's there. This situation
is improving, but in many circumstances using [transparent
mode](@!urlTo("transparent.html")!@) is mandatory for testing Android apps.
We used an Asus Transformer Prime TF201 with Android 4.0.3 in the examples
below - your device may differ, but the broad process should be similar.
## Getting the certificate onto the device
First we need to get the __mitmproxy-ca-cert.cer__ file into the
__/sdcard/Downloads__ folder on the device. There are a number of ways to do
this. If you have the Android Developer Tools installed, you can use [__adb
push__](http://developer.android.com/tools/help/adb.html) to accomplish this.
Depending on your device, you could also transfer the file using external media
like an SD Card. In this example, we're using wget from within a terminal
emulator to transfer the certificate from a local HTTP server:
## Installing the certificate
Once we have the certificate on the local disk, we need to import it into the
list of trusted CAs. Go to Settings -> Security -> Credential Storage,
and select "Install from storage":
The certificate in /sdcard/Downloads is automatically located and offered for
installation. Installing the cert will delete the download file from the local
disk:
Afterwards, you should see the certificate listed in the Trusted Credentials
store:


=== Test case: lasp_SUITE:contracted_latency_test/1 (click for source code)
=== Config value:
[{watchdog,<0.502.0>},
<EMAIL_ADDRESS>{tc_group_properties,[]},
{tc_group_path,[]},
{data_dir,"/Users/anne-francevanswieten/lasp/_build/test/lib/lasp/test/lasp_SUITE_data/"},
<EMAIL_ADDRESS>=== Current directory is<EMAIL_ADDRESS>=== Started at 2017-05-05 19:45:30
*** User 2017-05-05 19:45:30.027 ***
Beginning case: contracted_latency_test
*** User 2017-05-05 19:45:30.040 ***
19:45:30.040 [info] Configured peer_service_manager partisan_default_peer_service_manager on node 'runner@MacBook-Pro-de-Anne-France'
*** User 2017-05-05 19:45:31.389 ***
19:45:31.388 [info] Enabling membership...
*** User 2017-05-05 19:45:31.390 ***
19:45:31.390 [info] Disabling blocking sync...
*** User 2017-05-05 19:45:31.396 ***
19:45:31.395 [info] Configured peer_service_manager partisan_default_peer_service_manager on node 'node-1@MacBook-Pro-de-Anne-France'
*** User 2017-05-05 19:45:32.918 ***
19:45:32.918 [info] Enabling membership...
*** User 2017-05-05 19:45:32.919 ***
19:45:32.919 [info] Disabling blocking sync...
*** User 2017-05-05 19:45:32.924 ***
19:45:32.924 [info] Configured peer_service_manager partisan_default_peer_service_manager on node 'node-2@MacBook-Pro-de-Anne-France'
*** User 2017-05-05 19:45:34.467 ***
19:45:34.466 [info] Enabling membership...
*** User 2017-05-05 19:45:34.468 ***
19:45:34.468 [info] Disabling blocking sync...
*** User 2017-05-05 19:45:34.473 ***
19:45:34.473 [info] Configured peer_service_manager partisan_default_peer_service_manager on node 'node-3@MacBook-Pro-de-Anne-France'
*** User 2017-05-05 19:45:34.707 ***
Joining node: 'node-3@MacBook-Pro-de-Anne-France' to 'runner@MacBook-Pro-de-Anne-France' at port 52701
*** User 2017-05-05 19:45:34.711 ***
Joining issued: 'node-3@MacBook-Pro-de-Anne-France' to 'runner@MacBook-Pro-de-Anne-France' at port 52701
*** User 2017-05-05 19:45:34.712 ***
Joining node: 'node-2@MacBook-Pro-de-Anne-France' to 'runner@MacBook-Pro-de-Anne-France' at port 52684
*** User 2017-05-05 19:45:34.712 ***
Joining issued: 'node-2@MacBook-Pro-de-Anne-France' to 'runner@MacBook-Pro-de-Anne-France' at port 52684
*** User 2017-05-05 19:45:34.713 ***
Joining node: 'node-1@MacBook-Pro-de-Anne-France' to 'runner@MacBook-Pro-de-Anne-France' at port 52672
*** User 2017-05-05 19:45:34.716 ***
Joining issued: 'node-1@MacBook-Pro-de-Anne-France' to 'runner@MacBook-Pro-de-Anne-France' at port 52672
*** User 2017-05-05 19:45:34.777 ***
Waiting for join to complete with manager: partisan_default_peer_service_manager
*** User 2017-05-05 19:45:34.778 ***
Finished.
*** CT 2017-05-05 19:45:34.792 *** COVER INFO
Adding nodes to cover test: ['runner@MacBook-Pro-de-Anne-France']
*** CT 2017-05-05 19:45:34.800 *** COVER INFO
Successfully added nodes to cover test: []
*** User 2017-05-05 19:45:34.800 ***
Case finished: contracted_latency_test
*** User 2017-05-05 19:45:41.866 ***
19:45:41.866 [info] Application lasp exited with reason: stopped
=== Ended at 2017-05-05 19:45:41
=== successfully completed test case
=== Returned value: ok
Test run history
| Top level test index


We provide a full suite of services to help you get from ideation to production!!
Create surveys to send to potential customers
Using Google Sprint methodology we can work with your team to create a detailed wire frame
Our on call development team will help support your team in development
Meet with UX / UI specialists to learn how to work with potential customers to tweek functionality
Our team will help with initial deployment. Ongoing Maintenance can also be yours for a small ~70B monthly fee


BOLD indicates a graduate student at the time of publication UNDERLINE indicates an undergraduate student at the time of publication
2022
Healey, H.M., S. Bassham and W.A. Cresko. Single-cell Iso-Sequencing enables rapid genome annotation for scRNAseq analysis. Genetics. 220(3), iyac017 [reprint]
2021
2021 • Tavalire, H. F., D. M. Christie, L. D. Leve, N. Ting, W. A. Cresko, and B. J. M. Bohannan. 2021. Shared Environment and Genetics Shape the Gut Microbiome after Infant Adoption. mBio 12.
2021 • Rengefors, K., R. Gollnisch, I. Sassenhagen, K. Harnstrom Aloisi, M. Svensson, K. Lebret, D. Certnerova, W. A. Cresko, S. Bassham, and D. Ahren. 2021. Genome-wide single nucleotide polymorphism markers reveal population structure and dispersal direction of an expanding nuisance algal bloom species. Mol Ecol 30:912-925.
2021 • O’Connor, C. H., K. L. Sikkink, T. C. Nelson, J. L. Fierst, W. A. Cresko, and P. C. Phillips. 2021. Complex pleiotropic genetic architecture of evolved heat stress and oxidative stress resistance in the nematode Caenorhabditis remanei. G3 (Bethesda) 11.
2021 • Fuiten, A. M., and W. A. Cresko. 2021. Evolutionary divergence of a Hoxa2b hindbrain enhancer in syngnathids mimics results of functional assays. Dev Genes Evol.
2020
2020 • Beck, E.A., M.C. Currey, C.M. Small, and W.A. Cresko. QTL Mapping of Intestinal neutrophil variation in threespine stickleback reveals possible gene targets connecting intestinal inflammation and systemic health. G3. 10(2): 613-622. [reprint]
2020 • Galloway, J., W.A. Cresko, P. Ralph. A few stickleback suffice for the transportation of alleles to new lakes. G3. 10(2): 505-514. [reprint]
2019
2019 • Tavalire, H., W.A. Cresko, L. Leve. Determining the contributions of stress and inflammation to child health: harnessing the complementary strengths of fish models and human subjects research. Behaviour Genetics. 49(6): 504-505
2019 • Nelson, T.C., J.G. Crandall, C.M. Ituarte, J.M. Catchen, and W.A. Cresko. Selection, linkage, and population structure interact to shape genetic variation among threespine stickleback genomes. Genetics. 212: 1367-1382.
2019 • Sikkink, K.L., R.M. Reynolds, C.M. Ituarte, W.A. Cresko, and P.C. Phillips. Environmental and evolutionary drivers of the modular gene regulatory network underlying phenotypic plasticity for stress resistance in the nematode Caenorhabditis remanei. G3. 9(3): 969-982.
2019 • Small, C. M., M. Currey, E.A. Beck, S. Bassham, and W.A. Cresko. Highly reproducible 16S sequencing facilitates measurement of host genetic influences on the stickleback gut microbiome. mSystems. 4(4): e00331-19.
2019 • Currey, M.C., S.L. Bassham, and W.A. Cresko. Genetic divergence outpaces phenotypic divergence among threespine stickleback populations in old freshwater habitats. Biol. J. Linnean Society. 128(2): 415-434.
2019 • Steury, R. A., and Currey M.C., W.A. Cresko, and B.J.M., Bohannan. Population genetic divergence and environment influence the gut microbiome in Oregon threespine stickleback. Genes. 10(7): 484.
2019 • O’Connor C.H., K.L. Sikkink, T.C. Nelson, J. Fierst, W.A. Cresko, and P.C. Phillips. Complex pleiotropic genetic architecture of evolved heat stress and oxidative stress resistance in the nematode Caenorhabditis remanei. bioRxiv: 515320.
2018
2018 • Bassham, S., J. Catchen, E. Lescak, F.A. von Hippel, and W.A. Cresko. Repeated selection of alternatively adapted haplotypes creates sweeping genomic remodeling in stickleback. Genetics. 209(3): 921-939.
2018 • Nelson, T.C., and W.A. Cresko. Ancient genomic variation underlies repeated ecological adaptation in young stickleback populations. Evolution Letters. 2(1): 9-21.
2018 • Leve, L.D., J.M. Neiderhiser, G.T. Harold, M.N. Natsuaki, B.J. Bohannan, and W.A. Cresko. Naturalistic Experimental Designs as Tools for Understanding the Role of Genes and the Environment in Prevention Research. Prevention Science. (19) 1: 68-78. [reprint]
2017
2017 • Currey, M., S. Bassham, S. Perry , and W.A. Cresko. Developmental timing differences underlie armor loss across threespine stickleback populations. Evolution and Development. 19(6): 231-243.
2017 • Small C.M., K. Milligan-Myhre, S. Bassham, K. Guillemin, and W.A. Cresko. Host Genotype and Microbiota Contribute Asymmetrically to Transcriptional Variation in the Threespine Stickleback Gut. Genome Biol Evol. 9(3): 504-20.
2017 • Gardell A.M., F.A. von Hippel, E.M. Adams, D.M. Dillon, A.M. Petersen, J.H. Postlethwait, W.A. Cresko, and C.L. Buck. Exogenous iodide ameliorates perchlorate-induced thyroid phenotypes in threespine stickleback. Gen Comp Endocrinol. 243: 60-9. [reprint]
2017 • Lescak E.A., M.A. Wund, S. Bassham, J. Catchen, D. Prince, R. Lucas, G. Dominguez, F.A. von Hippel, and W.A. Cresko. Ancient three-spined stickleback (Gasterosteus aculeatus) mtDNA lineages are not associated with phenotypic or nuclear genetic variation. Biol. J. Linnean Society. 122(3): 579-588.
2016
2016 • Small, C., S. Bassham, J. Catchen, A. Amores, A.M. Fuiten, R.S. Brown , A.G. Jones, and W.A. Cresko. The genome of the Gulf pipefish enables understanding of evolutionary innovations. Genome Biology. 17(1): 58-65. [reprint]
2016 • Milligan-Myhre, K.A., C.M. Small, E.K. Mittge, M. Agarawal, M. Currey, W.A. Cresko, and K. Guillemin. Innate immune responses to gut microbiota differ between oceanic and freshwater threespine stickleback populations. Disease Models & Mechanisms. 9(2): 187-98. [reprint]
2016 • Petersen, A., N. Earp , M. Redmond , J.H. Postlethwait, F.A. von Hippel, C.L. Buck and W.A. Cresko. Perchlorate exposure reduces primary germ cell number in female stickleback. PLoS One. 11(7): e0157792. [reprint]
2015
2015 • Lescak, E., S. Bassham, J. Catchen, O. Gelmond, F.A. von Hippel, M.L. Sherbick, and W.A. Cresko. Evolution of Stickleback in 50 years on Earthquake-Uplifted Islands. Proc. Natl. Acad. Sci. USA. 112 (52): E7204-E7212.
2015 • Allendorf, F.W., S. Bassham, W.A. Cresko, M.T. Limborg, L.W. Seeb, and J.E. Seeb. Response to May and Delany: We Never Said Wright was Wrong. J. Hered. 106: 767-768.
2015 • Sikkink, K.L., R.M. Reynolds, W.A. Cresko, and P.C. Phillips. Environmentally induced changes in correlated responses to selection reveal variable pleiotropy across a complex genetic network. Evolution. 69: 1128-1142. [reprint]
2015 • Petersen, A.M., D. Dillon, R.R. Bernhardt, R. Torunsky, J.H. Postlethwait, F.A. von Hippel, C. Loren Buck, and W.A. Cresko. Perchlorate disrupts embryonic androgen synthesis and reproductive development in threespine stickleback without changing whole-body levels of thyroid hormone. Gen. Comp. Endocrinology. 210: 130-144. [reprint]
2015 • Lescak, E.A., R.W. Marcotte, L.A. Kenney, F.A. Hippel, W.A. Cresko, M.L. Sherbick, J.J. Colgren, and J. Andrés López. Admixture of ancient mitochondrial lineages in three‐spined stickleback populations from the North Pacific. Journal of Biogeography. 42: 532-539. [reprint]
2015 • Furin, C.G., F.A. von Hippel, J. Postlethwait, C.L. Buck, W.A. Cresko, and T.M. O’Hara. Developmental timing of perchlorate exposure alters threespine stickleback dermal bone. Gen. Comp. Endocrinology. 219: 36-44.
2015 • Gardell, A.M., D.M. Dillon, L.C. Smayda, F.A. von Hippel, W.A. Cresko, J.H. Postlethwait, and C.L. Buck. Perchlorate exposure does not modulate temporal variation of whole-body thyroid and androgen hormone content in threespine stickleback. Gen. Comp. Endocrinology. 219: 45-52. [reprint]
2015 • Allendorf, F.W., S. Bassham, W.A. Cresko, M.T. Limborg, L.W. Seeb, and J.E. Seeb. Effects of crossovers between homeologs on inheritance and population genomics in polyploid-derived salmonid fishes. J. Hered. 106: 217-227. [reprint]
2015 • Furin, C.G., F.A. von Hippel, J.H. Postlethwait, C.L. Buck, W.A. Cresko, and T.M. O’Hara. Developmental timing of sodium perchlorate exposure alters angiogenesis, thyroid follicle proliferation and sexual maturation in stickleback. Gen. Comp. Endocrinology. 219: 24-35. [reprint]
2014
2014 • Sikkink, K.L., R.M. Reynolds, C.M. Ituarte , W.A. Cresko, and P.C. Phillips. Rapid evolution of phenotypic plasticity and shifting thresholds of genetic assimilation in the nematode Caenorhabditis remanei. G3: Genes, Genomes, Genetics. 4(6): 1103-1112. [reprint]
2014 • Sikkink, K.L., C.M. Ituarte , R.M. Reynolds, W.A. Cresko, and P.C. Phillips. The transgenerational effects of heat stress in the nematode Caenorhabditis remanei are negative and rapidly eliminated under direct selection for increased stress resistance in larvae. Genomics. 104: 438-446. [reprint]
2014 • Voelker, R.B., W.A. Cresko, and J.A. Berglund. Computational approaches to mine publicly available databases. Methods Mol. Biol. 1126:325-340. [reprint]
2014 • Jamniczky, H.A., E.E. Harper, R. Garner, W.A. Cresko, P.C. Wainwright, B. Hallgrímsson, and C.B. Kimmel. Association between integration structure and functional evolution in the opercular four‐bar apparatus of the threespine stickleback, Gasterosteus aculeatus (Pisces: Gasterosteidae). Biological Journal of the Linnean Society. 111: 375-390.
2013
2013 • Catchen, J., S. Bassham, T. Wilson, M. Currey, C. O’Brien, Q. Yeates and W.A. Cresko. The population structure and recent colonization history of Oregon threespine stickleback determined using RAD-seq. Molecular Ecology. 22(11): 2864–2883. [reprint]
2013 • Catchen, J., P. Hohenlohe, S. Bassham, A. Amores, and W.A. Cresko. Stacks: an analysis tool set for population genomics. Molecular Ecology. 22(11): 3124-3140. [reprint]
2013 • Shen, Y., T. Garcia, V. Pabuwal, M. Boswell, A. Pasquali, I. Beldorth, W. Warren, M. Schartl, W.A. Cresko, and R.B. Walter. Alternative strategies for development of a reference transcriptome for quantification of allele specific expression in organisms having sparse genomic resources. Comp. Biochem. Physiol. Part D Genomics Proteomics. 8:11-16.
2013 • Willette, D., F. Allendorf, P.H. Barber, D.J. Barshis, K.E. Carpenter, E.D. Crandall, W.A. Cresko, I. Fernandez-Silva, M.V. Matz, E. Meyer, M.D. Santos, L.W. Seeb, and J.E. Seeb. So, you want to use next-generation sequencing in marine systems? Insight from the Pan-Pacific Advanced Studies Institute. Bulletin of Marine Science. 90(1): 79-122.
2013 • O’Brien, C., L. Unruh , C. Zimmerman, W.E. Bradshaw, C.M. Holzapfel, and W.A. Cresko. Geography of the circadian gene clock and photoperiodic response in western North American populations of the three-spined stickleback Gasterosteus aculeatus. J. Fish. Biol. 82(3): 827–839. [reprint]
2012
2012 • Bradshaw, W.E., K.J. Emerson, J.M. Catchen, W.A. Cresko, and C.M. Holzapfel. Footprints in time: comparative quantitative trait loci mapping of the pitcher-plant mosquito, Wyeomyia smithii. Proceedings of the Royal Society B: Biological Sciences. vol. 279(1747): 4551-4558. Proceedings of the Royal Society B Biological Sciences, 279(1747), 4551-8. [reprint]
2012 • Hohenlohe P.A., J. Catchen, and W.A. Cresko. Population genomic analysis of model and non-model organisms using sequenced RAD tags. in Population Genomics: Methods and Protocols, F. Pompanon and A. Bonin, eds. Humana Press. 888: 235–260.
2012 • Kimmel, C.B., K. McGuigan, P.C. Phillips, B. Ullmann, M. Currey, F.A. von Hippel, B.K. Kristjánsson, O. Gelmond, and W.A. Cresko. Independent axes of genetic variation and parallel evolutionary divergence of opercle bone shape in threespine stickleback. Evolution. 66(2): 419–434
2012 • Hohenlohe, P.A., S. Bassham, M. Currey and W.A. Cresko. Extensive linkage disequilibrium in threespine stickleback and its importance for parallel adaptation and ecological speciation. Philosophical Transactions of the Royal Society of London. 367: 395–408. [reprint]
2012 • Kimmel C. B., P.A. Hohenlohe, B. Ullmann , M. Currey, and W.A. Cresko. Developmental dissociation in morphological evolution of the stickleback opercle. Evol. Dev. 14: 326–337. [reprint]
2012 • O’Brien C.S., R. Bourdo, W.E. Bradshaw, C.M. Holzapfel and W.A. Cresko. Conservation of the photoperiodic neuroendocrine axis among vertebrates: evidence from the teleost fish, Gasterosteus aculeatus. General Comparative Endocrinology, 178(1), 19-27. [reprint]
2012 • Hohenlohe, P.A., J. Catchen, W.A. Cresko. Population genomic analysis of model and non-model organisms using sequenced RAD tags. in Population Genomics: Methods and Protocols, F. Pompanon and A. Bonin, eds. Humana Press. 888: 235–260. [reprint]
2012 • Shen, Y., Garcia, T., Pabuwal, V., Boswell, M., Pasquali, A., Beldorth, I., Warren, W., Schartl, M., Cresko, W. A., & Walter, R. B. (2012). Alternative strategies for development of a reference transcriptome for quantification of allele specific expression in organisms having sparse genomic resources. Comparative Biochemistry and Physiology Part D:Genomics Proteomics, 8(1), 11-6. [reprint]
2011
2011 • Etter, P., J. Preston, S. Bassham, W.A. Cresko, and E.A. Johnson. SNP discovery and de novo assembly using RAD paired-end sequencing. PLoS One. 6(4).
2011 • Nishimura, N., D. Heins, R. Anderson, I. Barber and W.A. Cresko. Cryptic coevolution of Schistocephalus parasites and stickleback hosts revealed by molecular genetic analysis. PLoS One. 6(7): e22505. [reprint]
2011 • Catchen, J. M., A. Amores, P. Hohenlohe, W. A. Cresko, and J. H. Postlethwait. Stacks: building and genotyping loci de novo from short-read sequences. (G3) Genes, Genomes and Genetics. 1: 171-182. [reprint]
2011 • Hohenlohe, P.A., S.J. Amish, J.M. Catchen, F.W. Allendorf, and G. Luikart. Next-generation RAD sequencing identifies thousands of SNPs for assessing hybridization between rainbow and westslope cutthroat trout. Molecular Ecology 11 Suppl 1. (March): 117-122. [reprint]
2011 • Allendorf, F.W., P.A. Hohenlohe, and G. Luikart. Genomics and the future of conservation genetics. Nature Reviews Genetics. 11(10): 697-709.
2011 • Davey, J.W., P.A. Hohenlohe, P.D. Etter, J.Q. Boone, J.M. Catchen, and M.L. Blaxter. Genome-wide genetic marker discovery and genotyping using next-generation sequencing. Nature Reviews Genetics 12(7): 499–510.
2011 • Etter, P., S. Bassham, P. Hohenlohe, E. Johnson and W.A. Cresko. SNP Discovery and Genotyping for Evolutionary Genetics using RAD Sequencing. pp. 157-178 in Molecular Methods for Evolutionary Genetics, Humana Press edited by V. Orgogozo and M. Rockman [reprint]
2011 • Kimmel, C. B., Cresko, W. A., Phillips, P. C., Ullmann, B., Currey, M., von Hippel, F., Kristjánsson, B. K., Gelmond, O., & McGuigan, K. (2011). Independent axes of genetic variation and parallel evolutionary divergence of opercle bone shape in threespine stickleback. Evolution, 66(2), 419-34. [reprint]
2011 • Amores, A., Catchen, J., Ferrara, A., Fontenot, Q., & Postlethwait, J. 2011. Genome evolution and meiotic maps by massively parallel DNA sequencing: Spotted gar, an outgroup for the teleost genome duplication. Genetics, 188, 799–808. [reprint]
2011 • Davey, J., Hohenlohe, P., Etter, P., Boone, J., Catchen, J., & Blaxter, M. (2011). Genome-wide genetic marker discovery and genotyping using next-generation sequencing. Nature Reviews Genetics, 12, 499-510. [reprint]
2011 • McGuigan, K., Nishimura, N., Currey, M., Hurwit, D. & Cresko, W. A. (2011). Cryptic Genetic Variation and Body Size Evolution in Threespine Stickleback. Evolution, 65, 1203–1211. [reprint]
2011 • Etter, P. D., Preston, J. L., Bassham, S., Cresko, W. A., & Johnson, E. A. (2011). Local De Novo Assembly of RAD Paired-End Contigs Using Short Sequencing Reads. PLoS ONE, 6(4), e18561. [reprint]
2010
2010 • McGuigan, K., N. Nishimura, M. Currey, D. Hurwit and W.A. Cresko. Quantitative genetic variation in static allometry in threespine stickleback. Integrative and Comparative Biology. 50: 1067-1080. [reprint]
2010 • Hohenlohe, P.A., P.C. Phillips, and W.A. Cresko. Using Population Genomics to Detect Selection in Natural Populations: Key Concepts and Methodological Considerations. International Journal of Plant Sciences. 171(9): 1059-1071. [reprint]
2010 • Hohehlohe, P., S. Bassham, P. Etter, N. Stiffler, E. Johnson and W.A. Cresko. Population Genomics of Parallel Adaptation in Threespine Stickleback using Sequenced RAD tags. PLoS Genetics 6(2):e1000862. (Faculty of 1000 must read) [reprint]
2010 • Emerson, K.J, C.R. Merz, J.M. Catchen, P.A. Hohenlohe, W.A. Cresko, W.E. Bradshaw, and C.M. Holzapfel. 2010. Resolving postglacial phylogeography using high-throughput sequencing. Proc. Natl. Acad. Sci. USA. 107(37): 16196-16200.
2010 • McGuigan, K., N. Nishimura, M. Currey, D. Hurwit and W.A. Cresko. Quantitative genetic variation in static allometry in threespine stickleback. Integrative and Comparative Biology. 50(6): 1067-1080.
2010 • von Hippel, F.A. and W.A. Cresko. Behavioural genetics, phylogenetics and speciation. In: Tinbergen’s Legacy in Behaviour:Sixty Years of Landmark Stickleback Papers. pp.459-467. Brill, Leiden.
2010 • Allendorf, F. W., Hohenlohe, P. A., & Luikart, G. (2010). Genomics and the future of conservation genetics. Nature Reviews Genetics, 11, 697-709. [reprint]
2010 • Hohenlohe, P. A., & Arnold, S. J. (2010). The dimensionality of mate choice, sexual isolation, and speciation. Proceedings of the National Academy of Sciences, 107(38), 16583-16588. [reprint].
2010 • Emerson, K. J., Merz, C. R., Catchen, J. M., Hohenlohe, P. A., Cresko, W. A., Bradshaw, W. E., & Holzapfel, C. M. (2010). Out of Appalachia: Resolving post-glacial phylogeography using high-throughput sequencing. Proceedings of the National Academy of Sciences, 107(37), 16196-200. [reprint]
2009
2009 • Yeates-Burghart, Q. S., O’Brien, C., Cresko, W. A., Holzapfel, C. M., & Bradshaw, W. E. (2009). Latitudinal variation in photoperiodic response of the three-spined stickleback Gasterosteus aculeatus in western North America. Journal of Fish Biology, 75(8), 2075-81. [reprint]
2009 • Albertson, R. C., Cresko, W., Detrich, H. W., & Postlethwait, J. H. (2009). Evolutionary mutant models for human disease. Trends in Genetics, 25(2), 74-81. [reprint]
2008
2008 • Cresko, W.A. Special issue on stickleback behavior and evolution: Preface. Behaviour. 145: 409-411.
2008 • Cresko, W. A. (2008). Armor Development and Fitness. Science, 322(5899), 204-206. [reprint]
2008 • Kimmel, C. B., Aguirre, W. E., Ullmann, B., Currey, M., & Cresko, W. A. (2008). Allometric change accompanies opercular shape evolution in Alaskan threespine sticklebacks. Behaviour, 145(4-5), 669-691. [reprint]
2008 • Lewis, Z. R., McClellan, M. C., Postlethwait, J. H., Cresko, W. A., & Kaplan, R. H. (2008). Female-specific increaes in primordial germ cells marks sex differntiation in threespine stickleback (Gasterosteus aculeatus). Journal of Morphology, 269(8), 909-921. [reprint]
2008 • Baird, N. A., Eter, P. D., Atwood, T. S., Currey, M. C., Shiver, A. L., Lewis, A., Selker, E. U., Cresko, W. A., & Johnson, E. A. (2008). Rapid SNP discovery and genetic mapping using sequenced RAD markers. PLoS One, 3(10), e3376. [reprint]
2008 • Calcott, B., Balcan, D., & Hohenlohe, P. A. (2008). A publish-subscribe model of genetic networks. PLoS ONE, 3(9), e3245. [reprint]
2008 • Stinchcombe, J. R., Agrawal, A. F., Hohenlohe, P. A., Arnold, S. J., & Blows, M. W. (2008). Estimating non-linear selection gradients using quadratic regression coefficients: double or nothing? Evolution, 62(9), 2435-2440. [reprint]
2008 • Hohenlohe, P. A., & Arnold, S. J. (2008). MIPoD: A hypothesis-testing framework for microevolutionary inference from patterns of divergence. American Naturalist, 171(3), 366-385. [reprint]
2007
2007 • Miller, M., Dunham, J., Amores, A., Cresko, W. A., & Johnson, E. (2007). Rapid and cost-effective polymorphism identification and genotyping using Restriction site Associated DNA (RAD) markers. Genome Research, 17(2), 240-248. [reprint]
2007 • Jovelin, R. He, X., Amores, A., Yan, Y., Cresko, W. A., & Postlethwait, J. H. (2007). FGF8 duplication and functional divergence in the ray-fin fish lineage.Journal of Experimental Zoology Part B: Molecular and Developmental Evolution, 308, 730-743. [reprint]
2007 • Cresko, W. A., McGuigan, K. L., Phillips, P. C., & Postlethwait, J. H. (2007). Studies of threespine stickleback developmental evolution: progress and promise. Genetica, 129(1), 105-126. [reprint]
2006
2006 • Bernhardt, R.R., F.A. von Hippel, and W.A. Cresko. Perchlorate induces hermaphroditism in threespine stickleback. Environmental Toxicology and Chemistry. 25(8): 2087-2096.
2005
2005 • Tanaka, M., L.A. Hale, A. Amores, Y.L. Yan, W.A. Cresko, T. Suzuki, and J.H. Postlethwait. Developmental genetic basis for the evolution of pelvic fin loss in the pufferfish Takifugu rubripes. Developmental Biology. 281: 227-239.
2005 • Force, A., Cresko, W. A., Pickett, F. B., Proulx, S. R., Amemiya, C., & Lynch, M. (2005). The origin of subfunctions and modular gene regulation. Genetics, 170, 433-446. [reprint]
2005 • Baker, J., Cresko, W. A., Foster, S., & Heins, D. (2005). Life History differentiation of benthic and limnetic ecotypes in a polytypic population of threespine stickleback, Gasterosteus aculeatus. Evolutionary Ecology Research, 7, 121-131. [reprint]
2005 • Kimmel, C. B., Ullmann, B., Walker, C., Wilson, C., Currey, M., Phillips, P. C., Bell, M. A., Postlethwait, J. A., & Cresko, W. A. (2005). Evolution and development of facial bone morphology in threespine sticklebacks. Proceedings of the National Academy of Sciences of the United States of America, 102(16), 5791-6. [reprint]
2004
2004 • Force, A. G., Cresko, W. A., & Pickett, F. (2004). Informational accretion, gene duplication and the mechanisms of genetic module parcellation, in Schlosser, G., & Wagner, G. P. (Eds.). Modularity in Development and Evolution. Chicago: University of Chicago Press. 350-375.
2004 • Postlethwait, J.H., A. Amores, W.A. Cresko, A. Singer, and Y. Yan. Subfunction partitioning, the teleost radiation and the annotation of the human genome. Trends in Genetics. 20(10): 481-490.
2004 • Cresko, W. A., Amores, A., Wilson, C., Murphy, J., Currey, M., Phillips, P., Bell, M., Kimmel, C., & Postlethwait, J. (2004). Parallel genetic basis for repeated evolution of armor loss in Alaskan threespine stickleback populations. Proceedings of the National Academy of Sciences of the United States of America, 101, 6050-6055. [reprint]
2003
2003 • Cresko, W.A., Y. Yan, D. Baltrus, A. Amores, A. Singer, A. Rodriguez-Mari, and J. Postlethwait. Genome Duplication, Subfunction Partitioning, and Lineage Divergence: Sox9 in Stickleback and Zebrafish. Devp. Dyn. 228: 480-489.
2003 • Cresko, W. A., Yan, Y., Baltrus, D., Amores, A., Singer, A., Rodriguez-Mari, A., & Postlethwait, J. (2003). Genome Duplication, Subfunction Partitioning, and Lineage Divergence: Sox9 in Stickleback and Zebrafish. Developmental Dynamics, 228, 480-489. [reprint]
2000 and earlier
2000 • Cresko, W.A. The Ecology and Geography of Speciation: A Case Study Using an Adaptive Radiation of Threespine Stickleback in Alaska. Clark University, Worcester, MA.
1998 • Foster, S. A., Scott, R., & Cresko, W. A. (1998). Nested biological variation and speciation. Philosophical Transactions of the Royal Society London B Biological Sciences, 353, 207-218. [reprint]
1997 • Roosenburg, W.M., W.A. Cresko, M. Modesitte, and M.B. Robbins. Diamondback terrapin (Malaclemys terrapin) mortality in crab pots. Conservation Biology. 11: 1166-1172.
1996 • Cameron, S., J. Whitfield, C. Hulslander, W.A. Cresko, S. Isenberg, and R. King. Nesting biology and foraging patterns of the solitary bee Melissodes rustica (Hymenoptera: Apidae) Journal of the Kansas Entomological Society. 69(4): 260-273.
1996 • Cresko, W. A., & Baker, J. A. (1996). Two morphotypes of lacustrine threespine stickleback, Gasterosteus aculeatus, in Benka Lake, Alaska. Environmental Biology of Fishes, 45, 343-350.
1996 • Foster, S.A., W.A. Cresko, K. Johnson, M. Tlusty, and H. Willmott. Levels of homoplasy in behavioral characters. in Sanderson, M. J. and L. Hufford (eds.) Homoplasy: The Recurrence of Similarity in Evolution. Academic Press.
Press and Review Article Coverage of our Research
2018 • How an earthquake shook up stickleback genomes. Genes to Genomes GSA Blog Website
2017 • Hold your (sea)horses – here’s the pipefish genome. BiomedCentral Website
2016 • Andrews et al. Harnessing the power of RADseq for ecological and evolutionary genomics. Nature Reviews Genetics Website
2016 • Earthquakes and rapid evolution. The Molecular Ecologist Website
2015 • Copenhaver, G.P. and G.S. Barsh. A decad(e) of reasons to contribute to a PLoS community-run Journal. - A commentary on our 2010 paper in PloS Genetics (Hohenlohe, Bassham et al.) that was chosen one of the 10 most important papers (out of 5000) in the first decade of PLoS Genetics.Website
2015 • Interview on Oregon Public Broadcasting’s Think Out Loud about stickleback evolution. OPB Website
2015 • Small fish takes evolution fast track - Interview with Dr. Susie Bassham. Scientific American Website
2015 • Small fish species evolved rapidly following 1964 Alaska earthquake. ScienceDaily Website
2015 • Fang, J. Catastrophic Earthquake Drove Fish Evolution In Just 50 Years. IFL Science Website
2015 • Kiger, P.J. Earthquake forced rapid evolution in fish. Discovery News Website
2015 • Small fish species evolved rapidly following 1964 Alaska earthquake. Phys.Org Website
2015 • Big Earthquake jolted fish into fast evolution. Futurity Website
2015 • Mathewson, S. Stickleback fish evolved rapidly to living in freshwater ponds following major earthquake. Nature World News Website
2013 • Julian Catchen helps us dig into Stacks. The Molecular Ecologist Website
2011 • RAD-Tagging is demystifying genome sequencing. NewsWise Website
2010 • Genomic Study IDs Parallel Adaptations in Independent Stickleback Populations. GenomeWeb Website
2010 • Stickleback Genomes Shining Bright Light on Evolution. ScienceDaily Website
2010 • News from the field: Stickleback Genomes Shining Bright Light on Evolution. NSF Press Release Website
2010 • The parallel lives of threespine stickleback. Discover Magazine Online Website
2010 • Stapley, J., J. Reger, P. G. D. Feulner, C. Smadja, J. Galindo, R. Ekblom, C. Bennison, A. D. Ball, A. P. Beckerman and J. Slate. Adaptation Genomics: the next generation. Trends in Ecology and Evolutionary Biology. 25. 705-712. Website
2010 • News from the field: Genetic Structure of First Animal to Show Evolutionary Response to Climate Change Determined. NSF Press Release Website
2010 • Mosquitoes: Genetic Structure of First Animal to Show Evolutionary Response to Climate Change Determined. ScienceDaily Website
2010 • Genomic Study IDs Parallel Adaptations in Independent Stickleback Pops. GenomeWeb Daily Website
2010 • Stickleback Genomes Shining Bright Light on Evolution. ScienceDaily Website
2009 • Maher, B. Biology’s next top model. Nature 458; 695-698. Website
2008 • Fitness in a changing world. NSF Press Release Website
2006 • Platt, J. E. Macroevolution: Alive and well in sticklebacks. The American Biology Teacher Website
2006 • Reproductive Toxicity: New Take on Perchlorate Effects. Environmental Health Perspectives Website
2006 • Raloff, J. A. Macho moms: Perchlorate pollutant masculinizes fish. Science News Website
2004 • Foster, S. A., and J. A. Baker. Evolution in parallel:new insights from a classic system. Trends in Ecology and Evolution 19; 456-459. Website
2004 • Pennisi, E. Evolutionary Biology, Changing fish’s bony armor in the wink of a gene. Science. 304; 1737-1739. Website
2004 • Secko, D., Big cross lands sticklebacks in the spotlight. The Scientist 18(21): 16. Website
2004 • Tickle, C. and N. Cole. Morphological Diversity: Taking the spine out of three-spine stickleback. Current Biology 14(11): 422-424. Website


This is a reading of the paper - "Personalized Thread Recommendation for MOOC Discussion Forums" by Andrew Lan
Point Processes
A point process, the discretization of a Poisson process, is characterized by a rate function \( \lambda(t) \) that models the probability that an event will happen in an infinitesimal time window \( dt \). The rate function at time \( t \) is given by: $$ \lambda(t) = \mathbb{P}(\text{event in} [t, t + dt]) = \lim_{dt \rightarrow 0} \frac{N(t + dt) - N(t)}{dt}$$. Where, \( N(t)\) denotes the number of events up to time $t$. Assuming the time period of interest is \( [0, T)\), the likelihood of a series of events at times \( t_1, \dots, t_N \le T\) is given b: $$ \mathcal{L}(\{ t_i\}^{N}_{i=1}) = (\prod_{i=1}^{N} \lambda(t_i)) \exp^{- \int_{0}^{T} \lambda(\tau) d\tau}$$ Here, we care about rate functions that are affected by excitations of past events (e.g., forum posts in the same thread). This leads us to Hawkes processes, which characterize the rate function at time \( t\) given a series of past events at \( t_1, \dots, t_N \le t \) as: $$ \lambda(t) = \mu + a \sum_{i=1}^{N'} \kappa(t - t_i)$$


I was a Sophomore in college, and I had this really awful math test coming up, Multivariate Calculus. And I got 100 mg of free Vivarin with my lunch that day (Vivarin likes to market at colleges). So, I take the 100 mg, and study like mad. I could totally focus, locked away in the basement of my dorm, with no sound, no people, just me, the math books, and the caffeine. Sometime around 3:00 AM, I got sleepy, so I went hunting for anyone awake who might have another. Didn't find any, so I drank 3 cokes. Studied more, and eventually walked to a convenience store before dawn to get more pills, this time 200 mg ones, not 100. I kept going till the math test, aced it, and crashed. I don't remember a damned thing about Multivariate Calculus anymore, but the A is on my transcript, so I don't care.
One year later, I end up in the same situation with a new math test, this time Linear Algebra. Repeat exactly: I ace it, then crash and forget the whole deal. Only this time, I was tempted by the mega box of pills at the store - 80 pills, 200 mg apiece, for under 20 bucks! Long after my math test is finished, I still have this giant stash of caffeine, and I'm gulping down two, three, four a day. They make me feel great, energetic, and special. I have a new best friend, pressed neatly in line, 8 at a time in foil packets. Nothing could be better. My new hobby is downing two pills and playing loud punk music till 4 in the morning. I also like to create new religions for fun, and scribble funny symbols down in notebooks. Anything that's mindless and fast amuses me endlessly.
And then it's sort of a blur. I had no knowledge of stimulants and didn't know that I was crashing. Sometimes, I'd be all up and excited, like everything in life was perfect and no one could touch me. At other times, I'd mope about the futility of existence, personality quirks I didn't have the power to overcome, and how everyone at my job was plotting against me. Then I quit the job and got another one. Then I got fired. Then I failed a whole lot of courses, got thrown on Prozac, tried harder drugs, blew $3,000 on random junk, failed more courses, got fired from a new job, dropped out of school, etc. Pretty standard story. I don't think caffeine screwed me up this much all on its own, it just got me rolling. I was depressed and used the pills to self-medicate, but stimulants, even weak ones like caffeine, are a lousy way to treat depression and just made it worse.
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.


I'm still not sure what I think about Joel Spolsky's JavaSchools post.
On one level, he just seems to be saying that he wants schools to be harder to weed more people out. Sure, I think it's justifiable that you have to have a certain kind of intelligence to be a good programmer, and that it's good to identify people who will be most successful based on that. (Similarly, if you aren't getting enough majors, making sure people succede isn't the answer, rather finding the right people and attracting them to CS is the answer.)
He's also arguing against vocational education (as Java has become a vocational skill), though that doesn't seem to be what people are picking up on. It makes sense that vocational education is part of the issue, because in vocational education it is expected everyone passes.  Unless you simply don't try, you will graduate, probably with any degree you want.
There's always been schools like this, but they've become much much more common. Honestly I think we -- the programming community -- really should call out some of these schools as frauds. It makes me sad when I see an ad where somebody says how successful they are making computer games with their degree from DeVry.  But that's an aside. The point is that the same thing is happening to more reputable universities, and what Joel is talking about is this trend. You pay your money, they make sure you get through school, and as long as you try you should get a B or better.
But I'm not excited about the model that Joel wants -- one where you present these fairly small, quite mathematical, and fairly difficult concepts, and use that to eliminate students. It can work, sure, because those are useful and important skills that represent a useful talent; but they don't represent all the important skills and talents.
I think it would be much more interesting if there was more of an emphasis on the size of the problems, not just a sampling of challenging techniques. Pointers and recursions are useful concepts for algorithms, but as a programmer writing algorithms is not central to what I do, nor is it completely clear without experience why you use those concepts. I'd rather have someone good at designing and understanding the larger systems of software, than someone who was just good at algorithms.
We need to give students large projects, not just exercises and algorithms. Large projects aren't about pointers -- in fact, in a language with pointers it is unlikely that a new programmer will ever get far enough to encounter any of the truly interesting problems. And recursion is useful and important, but it's not a prerequisite for anything.
These projects need to be large enough that the students will fail, regardless of their talent; hard enough that they'll fail in small ways (forced to throw away bad code and ideas), and ultimately in larger ways (likely creating a big, confusing, buggy system they can't maintain). All learning is best done through failure. Instead of Joel's model where failure is a way of weeding people out, failure should be seen as a requirement for learning. I learned way more in the programming I did outside of my schoolwork in college, because those tasks were ambitious and naive and prone to failure. Any passionate and talented programmer should be able to point to a pile of failed projects. If they haven't stopped learning -- and it's not okay to stop learning -- then that pile should be growing.
But is this really good for employers? Maybe not. If schools don't produce passionless programmers who are afraid their inadequacies will be exposed, then who will work in the enterprise environments, who will write the accounting software, who will submit to using their B&D languages and their top-down methodologies?
Sorry, I've become snarky. But enterprise software aside, fear of inadequacy is a big problem. It's what makes people defensive and territorial and hard to work with. It makes people unwilling to learn new things, unable to guide themselves independently, unable to recognize their utility in the context of a team. Recognizing and becoming comfortable with one's own inadequacy -- for we are all inadequate -- is important. Humility is very freeing. I think schools should teach more of that.
How can you interpret literature if you haven't written an angsty poem? How can you work in science if you haven't royally messed up an experiment, if you've never drawn the wrong conclusion? How can you practice mathematics if you haven't been convinced of a proof that later turned out to be wrong? How can you be a philosopher without believing firmly in something you later come to detest -- and moreso, having tried ernestly to convince others of that ill-considered idea? How can you be a musician without writing a sappy or derivative song? Even cello players should be forced to write at least one love song.
So maybe that's what I'd ask of a prospective employee. Tell me about some of the things you failed at.
The Java schools that Joel Spoelsky writes about are simply trying to maintain their existence by keeping student numbers up as the overall market for programmers increases. They are teaching what a former colleague used to call "programming with a trowel". Of course it's getting harder to sort the wheat from the chaff, there are just that many more people out there claiming to be programmers. Ask the BDFL what he thinks of the skill levels of the typical Bay area Java coder.
That's not to say that someone like Bruce Eckel couldn't produce good Java, simply that there aren't that many good Java programmers around. But then the overall programming standard seems to have gone down as the programmer base has increased, so Java is probably just the populist end of this trend.
I think the most interesting part of your post is the bit about fear of inadequacy. If students don't learn from problems that make them aware of the possibility of failure then they will probably not get as much out of their attempts. However it's then very important to have a supportive learning environment that will highlight their successes and reference the failures simply as aspects of further learning than as inadequacies in their approach.
It's still true that "the person who never made a mistake never made anything", but it's important to encourage what we might call "constructive failure", and for that I don't think you can beat a vocational education. In fact there's a lot to be said for the old apprenticeship schemes: you were acknowledged to be learning for five years and you had that length of time to become competent - not a master, but someone who had the capacity to turn into a master.
It's good to see Fog Creek are supporting an internship program, and I hope that Google's experience with the summer of code was good enough for them to think about running something equally useful next year.
Well, part of the problem here is obviously Java. Most really good programmers choose their language for the language itself -- and they wind up with things like Scheme, Ruby, or Python. People who are in programming just for the money learn Java, Visual Basic, or C#. Paul Graham's Python Paradox is that as Python grows in popularity, the quality of Python programmers may decline as people use it out of job requirement, not desire to program in Python. (http://www.paulgraham.com/pypar.html)
Regarding apprenticeship -- the problem here is that a lot of experienced programmers aren't good. Having 10 years of experience writing bad software is just that -- reinforcement of bad skills. The truly good programmers don't always (but not never) have the aptitude for guiding a creative skill. Joel himself comes to mind.
It's ironic that even as the video-game generation is coming of age, the ranks of U.S. computer programmers who create those games — plus more practical software — are thinning out.
But what if you could make programming into a video game?
That's the basic idea behind Alice, a software program developed at Carnegie Mellon University to ease students into programming painlessly. Instead of meticulously typing in lines of commands, the users of Alice 2.0 users move animated characters around the screen to tell a story — kind of like playing "The Sims."
Now Electronic Arts Inc., the company that produces "The Sims," has struck a groundbreaking deal with CMU to make Alice 3.0 even cooler — in an effort to reverse the brain drain and particularly to get more girls interested in computer science. Story continues below ↓ advertisement
"Getting the chance to use the characters and animations from 'The Sims' is like teaching at an art school and having Disney give you Mickey Mouse," CMU computer science professor Randy Pausch, director of the Alice Project, said in Friday's announcement of the collaboration.
Pausch told MSNBC.com that Electronic Arts will underwrite development of the new, improved Alice over the next 18 to 24 months and give CMU free use of the 3-D models and animation data for "Sims" characters. "We're going from low-end amateur to state of the art," he said. "These are the characters and animations from the best-selling PC game in history."
Used at scores of schools Not that Alice 2.0 is all that shabby. The object-oriented, Java-based programming environment is already being used at more than 60 colleges and universities as well as an estimated 100 high schools and middle schools to teach introductory computer courses. Two textbooks have been written based on Alice 2.0, and Pausch said "there'll be a dozen" once Version 3.0 comes out.
ALICE ON THE WEBThe Alice software and supporting materials are freely available over the Web: • Alice home page • Download the software • Teaching materials • Another Alice textbook • Alice community
Image: Alice logoAlice.org Alice was created to get around the frustrations that keeps many students from getting beyond the intro classes — and in the longer run, reverse a trend that has seen a 50 percent drop-off in the number of computer science majors over the past five years. Statistics also show a widening gap between male and female interest in computer science.
With Alice, students start out with a natural-language, drag-and-drop interface that puts colorful 3-D characters through their computer-generated paces. Instead of typing lines of Java code like this: public static void moveTo(Thing t, Map m, int tx, int ty ) { ... you just move your mouse or type in commands like "rotate one left quarter turn." The idea is that Alice can lay a fun foundation for future computer courses.
"The new version that we're now beginning on will gradually morph into a more traditional Java programming environment," Pausch said. "So we're talking about the training wheels gradually dropping off."
Alice emphasizes a storytelling approach to building a program, rather than a shoot-'em-up approach. "We found that when we targeted Alice as a storytelling vehicle, girls were three times as likely to be engaged and motivated to write computer software, as opposed to just moving 3-D characters around," Pausch explained.
How the deal was done That user-friendliness is what appealed to Electronic Arts, Pausch said. He and his colleagues at CMU have been working with Electronic Arts for years, and the company has agreed to hire 10 students from CMU's computer science program annually. A couple of years ago, Pausch spent a months-long sabbatical at Electronic Arts, and the executives there were particularly intrigued to hear of Alice's success with middle-school girls.
"EA comes to this with the goal of doing well by doing good," Bing Gordon, the company's chief creative officer, said in Friday's announcement. "Inspiring next-generation game-makers is a primary objective. Alice has already proven to be a powerful tool to engage all kids — most particularly girls. Our hope is to contribute in a way that further accelerates its success."
The terms of the deal call for EA to contribute its intellectual property for free use in the Alice program, which is distributed freely by CMU. "The way this license works is, if somebody picks up the open-source Alice and the 'Sims' data, they can't do anything with that that isn't noncommercial educational use," Pausch explained.
That means Electronic Arts won't be offering a souped-up commercial version of the program — and Pausch acknowledged the deal also means neither he nor CMU will profit from Alice 3.0. "Put the handcuffs on me," he said jokingly.
"We all want kids, particularly middle-school girls, to have a better path toward computer science," Pausch said, "so it really is this pure play in terms of, for lack of a better word, nobility." http://www.projectslist.biz/freelance/Java/
There are a couple levels at play in Joel's essay. By programming exclusively in Java, he asserts that it is extremely hard for a hiring manager to quickly assess a potential hire's skills. This is not something exclusive to external assessment; it's a problem for the nascent programmer to assess himself. Schools can capitalize on this by keeping poorer programmers in their program, and these poorer programmers cannot tell that they are poor at it. This is unfair to the student during the process, and unfair to the hiring manager later. Is this because the failures are minimized?
To take an analogy of cooking, with only limited ingredients and extremely helpful tools (imagine a pan that won't burn anything), how can you identify the great cooks, the good cooks, and the mediocre cooks? In school it's more important whether I can improve my skills. For the hiring manager it's often more about which level of skill I possess - or at least where I max out. But unless it can be usefully measured, how will any of us know?
I agree Joel's essay oversimplifies in the implication that algorithms and pointers are necessarily the hard part, and that competence in the hard parts can predict the overall competence. I think they're strong markers, and much more easily measured than some idea of code quality, but they're still not ideal or fully representative markers.
I took a total of 6 computer science credits en route to my B.A. in Anthropology and, forgive my immodesty, I think I do really well as a programmer.
Heck, the three best programmers I've had the pleasure of working with are college dropouts. And the worst developer I currently work with has an M.S. in Comp Sci from Stanford (that would be pretty awkward if she read this).
I think it's unfortunate that Joel puts such emphasis on a CS degree, never mind its curriculum.
I also think part of the irony of Joel's article is that Frogcreek developers little more than massively overglorified CRUD software, of which any punk kid could probably churn out faster than Joel himself. :) But that's my opinion as a Python programmer who avoids C like the plague.
I was going to say "hey, good CRUD software is still good software." (And I havn't used FogBugz, but it sounds like it works well.) But then I thought, why would you ever be handling pointers in a CRUD application like what FogBugz? Of course, that's not really his point either -- it's not that pointers are the skill Joel cares about, it's that pointers represent some skill he cares about, presumably one that indicates an unteachable talent. You might then ask if that unteachable talent is the most important unteachable talent for the kind of applications Fog Creek develops. I guess I'm just arguing it is not, since their software is not algorithmically complex (like most software), and pointers don't indicate a talent that is particularly closely associated with software design at the CRUD-level. And really CRUD apps are apps that use very high level constructs (a database) to get you closer to what (IMHO) are more interesting problems -- they aren't really easier applications, except insofar as you don't make life unnecessarily harder for yourself.
# Ian Bicking
Actually, I think that FogCreek is trying to lure great developers to their shop by providing a killer environment (as codified in Joel's Test). Having worked in noisy, un-appreciative environments, I think even 10 points on Joel's Test would be a great offer.
Their products really don't feel like the hottest and sexiest projects to work on. But what I've heard about them is that most of FogCreek's users really love FogCreek's products.
(It's funny though now that Joel is also a Paul Graham fanboy and Paul keeps touting how no self respecting hacker would ever work on Windows. I wouldn't object working on Windows, but it would be a little minus nevertheless.)
Tell me about some of the things you failed at.Ok, my résumé just grew ten-fold.
MWM
# Matthew Marshall
I'd summarize Joel's message as: 'shortcuts' == 'mirages'.
>It makes me sad when I see an ad where somebody says how successful they are making computer games with their degree from DeVry.
Actually some very sharp people come out of technical schools like DeVry. Some focused people want to get straight to the relevant stuff rather than spend 2 years on general ed fluff. Which isn't to say gen ed can't be useful, but truthfully, you won't even remember 90% of it after you graduate.
Sure, there will be washouts, but the same thing goes for most colleges. The point is that having a degree from a technical school is not an indicator of a sub-par technical education.
# auser


Hello! I'm Jess, and this is my personal site for personal things. Which is in contrast to a, er, non-personal site for non-personal things. I crafted it lovingly with my own hands. On a keyboard.
I'm an Ontario, Canada (though originally from the UK) based music, art, and word-liker but I'm not a musician, artist, or writer by any stretch. Give it twenty years and I might qualify. For now, though, I just enjoy from a distance and do what I can when I can.
 It's something I'm purposely ambiguous about, although it contains an 'M' and an 'L'), cats, extreme weather and the sirens that go with them, and medical scanners.
Things that don't matter to me: Blink-182 (sorry, I could never get the hype), hot dog meat, and that's about it.
If there are any problems with the site in terms of accessibility or browser scaling or really anything at all, please contact me so I can make improvements (head on over to 'Links & Contact', dude).


You may want to launch programs on your computer as well,
instead of only using links.
This is possible, but requires a bit of extra effort because
of browsers' security restrictions.
Directly linking to files on your computer to open them is
not possible (at least not for executable programs),
this is why you'll need to set up a custom (local only) URI
that launches the program you want to launch.
If you want to read up about it some more check out
this page.
To make this possible you'll need to add a key/value
pair in your registry. After doing this,
instead of http:// use yourscheme:// as a link.
If you are on a mac you can use
this
method. If you are on a windows computer you can do this yourself if you
want to (follow
these instructions),
or you can generate a file you can download that will
write the key/value pair for you by hitting the button below.
The second method is a lot easier and faster but it's
understandable if you don't trust this extension in which case you can do it manually.


Level up your coding skills and quickly land a job. This is the best place to expand your knowledge and get prepared for your next interview.
Given a root node reference of a BST and a key, delete the node with the given key in the BST. Return the root node reference (possibly updated) of the BST.
Basically, the deletion can be divided into two stages:
Follow up: Can you solve it with time complexity O(height of tree)
?
Example 1:
Input: root = [5,3,6,2,4,null,7], key = 3 Output: [5,4,6,2,null,null,7] Explanation: Given key to delete is 3. So we find the node with value 3 and delete it. One valid answer is [5,4,6,2,null,null,7], shown in the above BST. Please notice that another valid answer is [5,2,6,null,4,null,7] and it’s also accepted.
Example 2:
Input: root = [5,3,6,2,4,null,7], key = 0 Output: [5,3,6,2,4,null,7] Explanation: The tree does not contain a node with value = 0.
Example 3:
Input: root = [], key = 0 Output: []
Constraints:
[0, 104]
.-105 <= Node.val <= 105
root
is a valid binary search tree.-105 <= key <= 105


skyline pittsburgh pittsburgh pa
PittsburghSkyline.com - Original Photographs and Prints from the ...
Welcome to Pittsburgh Skyline. . I am originally from Washington, PA, but no longer live in western PA . Past PittsburghSkyline.com Photograph Series: .
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Pittsburgh Skyline - Downtown - Pittsburgh, PA
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Skyline Displays Pittsburgh: Trade Show Displays, Exhibits, Booths ...
Pittsburgh Pennsylvania's source for innovative, high quality Trade Show Displays, Trade Show . Skyline Displays Pittsburgh helps you succeed with design, .
http://www.theexhibitplace.com/
Things You'll Need
- Certified copies of public records evidence in your case
Instructions
-
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1
109 Skyline Dr, Pittsburgh, PA 15239 - Zillow
View pictures, the sales history and the Zestimate value for 109 Skyline Dr.
http://www.zillow.com/homedetails/109-Skyline-Dr-Pittsburgh-PA-15239/11283594_zpid/Pittsburgh Skylines
City of Pittsburgh Header graphic . Pittsburgh Skyline Thumbnails. City of Pittsburgh City-County Building 414 Grant Street Pittsburgh, PA 15219 (412) 255- .
http://www.city.pittsburgh.pa.us/skylines/ -
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I, THE SKYLINE LYRICS - Pittsburgh Is For Steelers...Hawaii Is For ...
One step back, was all you needed / Now two steps forward got you where you are today / Don't call me, don't claim me / You used me, you betray me) .
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Pittsburgh Skyline Prints - Pittsburgh Pennsylvania Skyline at Night . Pittsburgh Skyline Prints - Pittsburgh Pa Spring of 2012 Print by Emmanuel Panagiotakis .
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List of tallest buildings in Pittsburgh - Wikipedia, the free encyclopedia
Pittsburgh, the second-largest city in the U.S. state of Pennsylvania, is home to 135 . As of 2013, the skyline of Pittsburgh is ranked 18th in the United States and .
http://en.wikipedia.org/wiki/List_of_tallest_buildings_in_Pittsburgh -
4
Pittsburgh travel guide - Wikitravel
Pittsburgh skyline with the Duquesne Incline in the foreground . in Allegheny County, at the center of the Pittsburgh Region in southwestern Pennsylvania; the .
http://wikitravel.org/en/PittsburghPittsburgh Hotels | Marriott Pittsburgh Downtown | Renaissance
Our Marriott Pittsburgh Downtown's modern decor coupled with historic design make it unparalleled in style! . 107 6th Street · Pittsburgh, Pennsylvania 15222 USA . Enjoy scenic views of the Allegheny River and the Pittsburgh skyline from .
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-
1
References
Resources
- Photo Credit Justice image by MVit from board games regarding aerospace


Teach me Goodness, Dicipline and Knowledge
In the aims to produce graduates who are competent in field of Information Technology, Faculty of Computer Science (FILKOM) UB implement competency-based curriculum which refers to the ABET (Accreditation Board for Engineering and Technology). Supported by quality educators and adequate supporting infrastructure, FILKOM aims to produce graduates who have entrepreneurs spirite based on moral and ethical also trustworthy personality so being able cooperate and contribute to the national and international level.
Teach me Goodness, Dicipline and Knowledge
M Nurulloh F K -<PHONE_NUMBER>11037
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Kahlma Suttapanuluh -<PHONE_NUMBER>11099


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getContact()
- Method in class oops.
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getCustomer()
- Method in class oops.
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getCustomer(int)
- Method in class oops.
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getDescription()
- Method in class oops.
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- Method in class oops.
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getDrinkChoice()
- Method in class oops.
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Return the item name for which sales are recorded
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gets monthly revenue
getMonthlySales(int)
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returns monthly quantity of items sold
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returns whether item has nuts
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getPrice()
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return price
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getPrice()
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getQnty(int, int)
- Method in class oops.
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getRevenue(int, int)
- Method in class oops.
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getTableID()
- Method in class oops.
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getTables()
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calcCovarMatrix Calculates the covariance matrix of a set of vectors.
[covar,mean] = cv.calcCovarMatrix(samples)
[...] = cv.calcCovarMatrix(..., 'OptionName', optionValue, ...)
Input
- samples Samples stored as rows/columns of a single matrix.
Output
- covar Output covariance matrix of the type
CType
and square size.
- mean Output array as the average value of the input vectors.
Options
- Mean Input array as the average value of the input vectors.
See 'UseAvg' below. It is not set by default
- Flags Operation flags. Default is equivalent to
{'Normal',true, 'Rows',true}
- Normal The covariance matrix will be a square matrix of the same
size as the total number of elements in each input vector. One
and only one of 'Scrambled' and 'Normal' must be specified.
default true
- Scrambled The covariance matrix will be
nsamples x nsamples
.
Such an unusual covariance matrix is used for fast cv.PCA of a
set of very large vectors (see, for example, the EigenFaces
technique for face recognition). Eigenvalues of this "scrambled"
matrix match the eigenvalues of the true covariance matrix. The
"true" eigenvectors can be easily calculated from the
eigenvectors of the "scrambled" covariance matrix. default false
- Rows If the flag is specified, all the input vectors are stored
as rows of the samples matrix. mean should be a single-row
vector in this case. default true
- Cols If the flag is specified, all the input vectors are stored
as columns of the samples matrix. mean should be a single-column
vector in this case. default false
- Scale If the flag is specified, the covariance matrix is scaled.
In the "normal" mode, scale is
1./nsamples
. In the "scrambled"
mode, scale is the reciprocal of the total number of elements in
each input vector. By default (if the flag is not specified),
the covariance matrix is not scaled (scale=1
). default false
- UseAvg If the flag is specified, the function does not calculate
mean from the input vectors but, instead, uses the passed mean
vector. This is useful if mean has been pre-calculated or known
in advance, or if the covariance matrix is calculated by parts.
In this case, mean is not a mean vector of the input sub-set of
vectors but rather the mean vector of the whole set.
default false
- CType type of the matrix. default is 'double'
The functions cv.calcCovarMatrix calculate the covariance matrix and,
optionally, the mean vector of the set of input vectors.


Bryntum Gantt is a full featured Gantt chart for project management with support for all the features you need like dependencies, filtering, critical path and much more. Scroll down to browse demos or click the 'Documentation' button above to view our guides and API docs. The info button lets you switch theme and locale for the demos.


WITNESS LIST Economic Development (Interim) Committee December 8, 1997-9:00A Briefing on SB 1499 On: Anderson, Lyndon (TDI), Austin Registering, but not testifying: On: Durden, David (TDI), Austin Briefing on SB 386 On: Butts, Edna Ramon (TDI), Austin Registering, but not testifying: On: Myron, Rhonda (TDI), Austin Open Records Process On: Bright, Ann (TDI), Austin Coaxum, Sandra (Attorney General's Ofc.), Austin Public Disclosure of Insurance Info On: Bordelon, Rod (Public Ins. Counsel), Austin Donaldson, David (self), Austin Galvan, Gerard (Farmers Insurance Group), Austin Kincaid, Mark (self), Austin Powers, D.J. (self), Austin Schneider, Rob (Consumers Union), Austin Watkins, Robert (State Farm Insurance), Bloomington Update on Aetna Health Plans v. TDI On: Mattax, David C. (AG's Office & TDI), Austin


Bad-Ass, Front-End Ninja-Assassin Cyborg!
( in training )
Currently enrolled in the Udacity Front-End Nanodegree program. Find me on GitHub, LinkedIn, and Twitter.
15,000 students were invited to a 3-month Udacity challege course in front-end web development, and I was one of 1,500 students selected to advance to the full, 6-month FEND Nanodegree program, in which I am currently studying.
I'm currently progressing through Udacity's Front-End Nanodegree course, courtesy of Google's "Grow with Google" scholarship program. Foundational topics in HTML/CSS and version control systems progress to Object-Oriented JS techniques and front-end frameworks.
Basic HTML and CSS skills are put to use in this "Animal Trading Card" exercise. I focused here on achieving a reasonably tasteful design, with a Google Material Design flavor.
This exercise tested our JavaScript and recently introduced jQuery skills in the construction of a Pixel Art Maker thingamabob -- in which you specify a grid and select pixel colors.
I built this basic auto salvage yard WordPress site on the Divi theme. Includes a gallery, embedded Google Map, and integrated parts database search capability.
I was hired to build a site for a popular BBQ restaurant in Eugene, OR. Includes menus, customized maps, a contact form, and many theme modifications.
This is an in-production, extensively modified WordPress e-commerce site using the Divi theme by Elegant Themes, with WooCommerce.


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java.lang.Object edu.cmu.sphinx.decoder.search.WordPruningBreadthFirstSearchManager
Provides the breadth first search. To perform recognition an application
should call initialize before recognition begins, and repeatedly call recognize
until Result.isFinal() returns true. Once a final result has been obtained,
terminate
should be called.
All scores and probabilities are maintained in the log math log domain.
| Field Summary | |
static java.lang.String |
PROP_ACOUSTIC_LOOKAHEAD_FRAMES
A sphinx property that controls the amount of simple acoustic lookahead performed. |
static float |
PROP_ACOUSTIC_LOOKAHEAD_FRAMES_DEFAULT
The default value for the PROP_ACOUSTIC_LOOKAHEAD_FRAMES property. |
static java.lang.String |
PROP_ACTIVE_LIST_MANAGER
Sphinx property that defines the type of active list to use |
static java.lang.String |
PROP_BUILD_WORD_LATTICE
Sphinx property that specifies whether to build a word lattice. |
static boolean |
PROP_BUILD_WORD_LATTICE_DEFAULT
The default value of the PROP_BUILD_WORD_LATTICE property. |
static java.lang.String |
PROP_CHECK_STATE_ORDER
Sphinx property for checking if the order of states is valid. |
static boolean |
PROP_CHECK_STATE_ORDER_DEFAULT
The default value of the PROP_CHECK_STATE_ORDER property. |
static java.lang.String |
PROP_GROW_SKIP_INTERVAL
A sphinx property that controls the number of frames processed for every time the decode growth step is skipped. |
static int |
PROP_GROW_SKIP_INTERVAL_DEFAULT
The default value for the PROP_GROW_SKIP_INTERVAL property. |
static java.lang.String |
PROP_KEEP_ALL_TOKENS
A sphinx property that controls whether or not we keep all tokens. |
static boolean |
PROP_KEEP_ALL_TOKENS_DEFAULT
The default value for the PROP_ACOUSTIC_LOOKAHEAD_FRAMES property. |
static java.lang.String |
PROP_LINGUIST
Sphinx property that defines the name of the linguist to be used by this search manager. |
static java.lang.String |
PROP_LOG_MATH
Sphinx property that defines the name of the logmath to be used by this search manager. |
static java.lang.String |
PROP_MAX_LATTICE_EDGES
Sphinx property that specifies the maximum lattice edges |
static int |
PROP_MAX_LATTICE_EDGES_DEFAULT
The default value of the PROP_MAX_LATTICE_EDGES property. |
static java.lang.String |
PROP_PRUNER
Sphinx property that defines the name of the linguist to be used by this search manager. |
static java.lang.String |
PROP_RELATIVE_BEAM_WIDTH
Sphinx4 property that specifies the relative beam width |
static float |
PROP_RELATIVE_BEAM_WIDTH_DEFAULT
Sphinx4 property that specifies the default value for the relative beam width |
static java.lang.String |
PROP_SCORER
Sphinx property that defines the name of the scorer to be used by this search manager. |
static java.lang.String |
PROP_SHOW_TOKEN_COUNT
A sphinx property than, when set to true will cause the
recognizer to count up all the tokens in the active list after every
frame. |
static boolean |
PROP_SHOW_TOKEN_COUNT_DEFAULT
The default value for the PROP_SHOW_TOKEN_COUNT property |
static boolean |
PROP_WANT_ENTRY_PRUNING_DEFAULT
The default value for the PROP_WANT_ENTRY_PRUNING property |
| Constructor Summary | |
WordPruningBreadthFirstSearchManager()
|
| Method Summary | |
void |
allocate()
Allocates the resources necessary for this search |
void |
deallocate()
Deallocates resources necessary for this search |
AcousticScorer |
getAcousticScorer()
Returns the AcousticScorer. |
ActiveList |
getActiveList()
Returns the ActiveList. |
int |
getCurrentFrameNumber()
Returns the current frame number. |
Timer |
getGrowTimer()
Returns the Timer for growing. |
Linguist |
getLinguist()
Returns the Linguist. |
LogMath |
getLogMath()
Returns the LogMath used. |
java.lang.String |
getName()
Retrieves the name for this configurable component |
Pruner |
getPruner()
Returns the Pruner. |
java.util.List |
getResultList()
Returns the result list. |
StatisticsVariable |
getTokensCreated()
Returns the tokensCreated StatisticsVariable. |
void |
newProperties(PropertySheet ps)
This method is called when this configurable component has new data. |
Result |
recognize(int nFrames)
Performs the recognition for the given number of frames. |
void |
register(java.lang.String name,
Registry registry)
Register my properties. |
void |
setActiveList(ActiveList activeList)
Sets the ActiveList. |
void |
setResultList(java.util.List resultList)
Sets the result list. |
void |
startRecognition()
Called at the start of recognition. |
void |
stopRecognition()
Terminates a recognition |
| Methods inherited from class java.lang.Object |
equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
| Field Detail |
public static final java.lang.String PROP_LINGUIST
public static final java.lang.String PROP_PRUNER
public static final java.lang.String PROP_SCORER
public static final java.lang.String PROP_LOG_MATH
public static final java.lang.String PROP_SHOW_TOKEN_COUNT
true
will cause the
recognizer to count up all the tokens in the active list after every
frame.
public static final boolean PROP_SHOW_TOKEN_COUNT_DEFAULT
public static final boolean PROP_WANT_ENTRY_PRUNING_DEFAULT
public static final java.lang.String PROP_GROW_SKIP_INTERVAL
public static final int PROP_GROW_SKIP_INTERVAL_DEFAULT
public static final java.lang.String PROP_ACTIVE_LIST_MANAGER
public static final java.lang.String PROP_CHECK_STATE_ORDER
public static final boolean PROP_CHECK_STATE_ORDER_DEFAULT
public static final java.lang.String PROP_BUILD_WORD_LATTICE
public static final boolean PROP_BUILD_WORD_LATTICE_DEFAULT
public static final java.lang.String PROP_MAX_LATTICE_EDGES
public static final int PROP_MAX_LATTICE_EDGES_DEFAULT
public static final java.lang.String PROP_ACOUSTIC_LOOKAHEAD_FRAMES
public static final float PROP_ACOUSTIC_LOOKAHEAD_FRAMES_DEFAULT
public static final java.lang.String PROP_KEEP_ALL_TOKENS
public static final boolean PROP_KEEP_ALL_TOKENS_DEFAULT
public static final java.lang.String PROP_RELATIVE_BEAM_WIDTH
public static final float PROP_RELATIVE_BEAM_WIDTH_DEFAULT
| Constructor Detail |
public WordPruningBreadthFirstSearchManager()
| Method Detail |
public void register(java.lang.String name, Registry registry) throws PropertyException
Configurable
register
in interface Configurable
name
- the name of the componentregistry
- the registry for this component
PropertyException
public void newProperties(PropertySheet ps) throws PropertyException
Configurable
newProperties
in interface Configurable
ps
- a property sheet holding the new data
PropertyException
- if there is a problem with the properties.public java.lang.String getName()
Configurable
getName
in interface Configurable
public void allocate() throws java.io.IOException
SearchManager
allocate
in interface SearchManager
java.io.IOException
public void deallocate()
SearchManager
deallocate
in interface SearchManager
public void startRecognition()
startRecognition
in interface SearchManager
public Result recognize(int nFrames)
recognize
in interface SearchManager
nFrames
- the number of frames to recognize
public void stopRecognition()
stopRecognition
in interface SearchManager
public Linguist getLinguist()
public Pruner getPruner()
public AcousticScorer getAcousticScorer()
public LogMath getLogMath()
public ActiveList getActiveList()
public void setActiveList(ActiveList activeList)
activeList
- the new ActiveListpublic java.util.List getResultList()
public void setResultList(java.util.List resultList)
resultList
- the new result listpublic int getCurrentFrameNumber()
public Timer getGrowTimer()
public StatisticsVariable getTokensCreated()
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[gecode-users] Implementing of customize variable and customize Delta
José Luis Pulido Burbano
josel2820 at gmail.com
Sat Mar 7 00:30:26 CET 2009
Hello I am trying to implement a new variable type
my variable type uses two setvars inside
I had implemented the subscribe methods, the tell methods..and so on..
It works.
however I would like to to be able to launch my own customize Delta
in order to catch them in the advise methods.
Currently my variable type doesnt inherit from any Gecode class,
could you please advise me from which class I can inherit so I dont have to
repeat code(e.g when subscribing to a propagator)
and also being able to launch my own Delta Objetcs, Ive read a bit of source
code and I guess notify function does that in the tells functions, but Im
not sure.
Thank you in advance!
Cheers , Jose Luis
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