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Click Start/Stop button to start or stop the video.
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To decide the points, we use cv.goodFeaturesToTrack(). We take the first frame, detect some Shi-Tomasi corner points in it, then we iteratively track those points using cv.calcOpticalFlowPyrLK.
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About Me
My name is Amira Chikhaoui, I am an Electronic Engineer and a Web Developer. I live in Minneapolis with my husband. I am passionate with music, art and yoga. I love hanging out with my husband and enjoying the nature.
My name is Amira Chikhaoui, I am an Electronic Engineer and a Web Developer. I live in Minneapolis with my husband. I am passionate with music, art and yoga. I love hanging out with my husband and enjoying the nature.


Let's Learn Together, Let's "Grow Together" Our goal is to help others to gain personal and professional skills in the area of Technological development. The purpose is to provide a structure through which students may exercise their right to freely associate in pursuit of a common purpose or goal that enhances community at LetsGrowMore.
Community : Meeting new students, making connections, and building relationships will all help down the line when you’re looking for a job. Because you’re all part of the same organisation, you know the people your meeting have at least a few of the same interests as you, so their connections will be valuable.
Real Time Skill Development : By participating in a student organisation you can develop soft skills that are essentially “people skills” — they’re the skills that allow us to effectively interact with others, like communication, attitude, and work ethic. We will not only teach you these skills, but will also helps you broaden and improve those you already have.
Immense Learning Participating in an organisation based around your particular area of study will give you practical experience within that field. And what’s great about student communities is that while you learn to use skills like project management, event planning, and fundraising, you get to test them out in a safe environment where making mistakes is OK
"Learning From Failures " WE AT LETSGROWMORE ENSURE THAT EVERYONE CONNECTED WITH US MUST GROW! LetsGrowMore is a ground-based organization that aims at building the future through nourishing the present. We at LetsGrowMore believe in making our youth especially the students self-aware and exploring the untouched world of technology and tremendous growth-making fields and our belief finally took us where we are standing today. Today we are an officially MSME registered start-up with nearly 100+ people working under the same establishment. Today, we have nearly conducted more than a decade of inspiring webinars connecting an audience of more than 100+ people, inspiring them, and at the same time serving them with key services.
Todays work is foundation of tomorrow ! By participating in a student organisation you can develop soft skills that are essentially “people skills” — they’re the skills that allow us to effectively interact with others, like communication, attitude, and work ethic. We will not only teach you these skills, but will also helps you broaden and improve those you already have. You’ll learn the best way to communicate with both individuals and large groups, and you’ll gain emotional intelligence as you develop new relationships.
About Us LetsGrowMore is a ground-based organisation that aims at building the future through nourishing the present. We at LetsGrowMore believe in making our youth especially the students self-aware and exploring the untouched world of technology and tremendous growth-making fields and our belief finally took us where we are standing today. Today we are an officially MSME registered start-up with nearly 100+ people working under the same establishment.
Well, this is not what we actually aim for, our plans are much higher and we are working for it. Soon we are coming with our new projects which target the future building. Our future endeavors include projects which will help the audience by learning through the experience of great leaders where they share their achievement process and even failure stories. Still, this would also not stop us from growing because ultimately the main aim of our organization is to grow all together.
Today, we have nearly conducted more than a decade of inspiring webinars connecting an audience of more than 100+ people, inspiring them, and at the same time serving them with key services. Well, this is not what we actually aim for, our plans are much higher and we are working for it. Soon we are coming with our new projects which target the future building. Our future endeavors include projects which will help the audience by learning through the experience of great leaders where they share their achievement process and even failure stories. Still, this would also not stop us from growing because ultimately the main aim of our organization is to grow all together.
To enhance their understanding and appreciation of diversity. To provide service within the community To allow members to gain personal and professional skills in the area of leadership development. To be leaders in the organization. To become better leaders in their families or personal lives as they develop skills to better manage their own lives. To build an active partnership with fellow colleges, and organizations in an effort to enhance an inclusive, outreaching, and growing multicultural community. To Support and encourage students to explore their multiple identities. To provide convenient, up-to-date services to meet current needs of the community. To provide leisure learning, continuing education courses for the campus and community.
Introduction to Open Source and LGM-SoC Join the LGM – SoC and unleash the savage coder in you into the world of open-source. “Out of limitations comes Creativity” and programming is logic-based creativity. Still Thinking !!…What are you waiting for ?? Only few days left.


Seems you're trying to access me during my backup window. Don't worry though, I should be up and running again very soon.
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PICS: Billiat donates R100k in sports equipment to former school
Cape Town – Kaizer Chiefs midfielder Khama Billiat has taken time out from his busy playing schedule to donate R100 000 in sporting equipment to his former school.
The 29-year-old, currently with the Zimbabwean national team, paid a visit to Gwinyiro along with members from his Khama Billiat Foundation, a collaborative effort that was launched last month.
"I was giving back to the school that l went to. I brought some sanitary pads, soccer kits, netball kits," said Billiat as quoted by the Herald website.
"It took long for me to do it, I don’t know why but I thought, maybe, I would do it with the Khama Billiat Foundation. It’s still new and we started it not so long ago.
"I found it proper for my team to fly this side and do it here while I am in camp. It is not about soccer only; we just want to try and help as much as we can.
"And, that includes the disadvantaged people and the disabled people.
"Everyone needs help, but we should be honest with ourselves that there are some people who need help more than others."
Billiat will be hoping Zimbabwe can get their 2021 Africa Cup of Nations (AFCON) qualifying campaign back on track following their goalless home draw against Botswana.
The Warriors travel to Zambia to take on the Chipolopolo on Tuesday evening in a Group H clash.
- Compiled by Tashreeq Vardien


Hair Removal At Home
You can effectively expel undesirable hair from your body from the home. On the off chance that you have considered items that are excessively costly, laser medicines just as unattractive medicines, at that point you should not have to. There are numerous workable at-home recipes that really can help you.
Tips For Shaving For Men: One of the best places to shave in the shower. The objective is to relax the skin which will assist the hair withstanding up enough for you to get a nearby shave. You can likewise exploit the numerous items accessible including gels and creams. To help, ensure that you utilize a decent quality razor and that you keep it spotless and dry between employments. This will assist you with keeping slices to a base. A while later, wash with cold water and in the event that you like to utilize a facial cleanser.
For The Ladies: Just like the men, there are numerous things that you can do to improve the nature of your shave for hair removal at home. For instance, on the off chance that you hold the razor at the correct point, you will get a closer shave. Relaxing the skin with warm water, moisturizers, or shaving gels can likewise help. On the off chance that you might want to reduce the expenses, use conditioner rather than these creams. It can do a similar activity for considerably less of the expense. You can shave any territory of the body, with most ladies shaving their legs and underarms about two times up to seven days relying upon the need.
Tweezing: Another Option Utilizing clean tweezers, you can without much of a stretch spunk away wanderer’s hairs or shape the eyebrow. You ought not to utilize them on nose hairs, however as it can cause contamination. To do as such, pull the hair a similar way as it develops. You have no requirement for creams as these can square pores. Much of the time, you can go around fourteen days between tweezing meetings.
Depilatories: Another Option Here, you’ll need to ensure that you set aside the effort to follow the bearings gave on the compartments of depilatories.  On the off chance that you leave these items on excessively long or use them when you ought not, you are probably going to experience the ill effects of a rash or consume. You can utilize these about each other month to your ideal outcomes. You’ll need to attempt to utilize them after you have washed up with the goal that the hair is delicate and handily evacuated.
These alternatives for hair removal at home are choices that you can without much of a stretch do and advantage from. Set aside the effort to gain proficiency with somewhat increasingly about them, buy the items required, and dispose of undesirable hair.


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AWS::CloudWatch::Dashboard
The AWS::CloudWatch::Dashboard
resource creates an Amazon CloudWatch dashboard. A
dashboard is a customizable home page in the CloudWatch console that you can use to
monitor
your AWS resources in a single view. Each metric, graph, alarm, or text block on a
dashboard
is called a widget.
This resource supports updates. For more information about updating this resource, see PutDashboard in the Amazon CloudWatch API Reference. For more information about updating stacks, see AWS CloudFormation Stacks Updates.
Topics
Syntax
To declare this entity in your AWS CloudFormation template, use the following syntax:
JSON
{ "Type" : "AWS::CloudWatch::Dashboard", "Properties" : { "DashboardName" :
String
, "DashboardBody" :String
, } }
YAML
Type: AWS::CloudWatch::Dashboard Properties: DashboardName:
String
DashboardBody:String
Properties
DashboardName
-
A name for the dashboard. The name must be between 1 and 255 characters. If you do not specify a name, one will be generated automatically.
Required: No
Type: String
Update requires: Replacement
DashboardBody
-
A JSON string that defines the widgets contained in the dashboard and their location. For information about how to format this string, see Dashboard Body Structure and Syntax.
Required: Yes
Type: String
Update requires: No interruption
Return Values
Ref
When you specify an AWS::CloudWatch::Dashboard
resource as an argument
to the Ref
function, AWS CloudFormation returns the value of the
Name
.
For more information about using the Ref
function, see Ref.
Examples
For examples, see Amazon CloudWatch Template Snippets.


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public class JDepend
extends java.lang.Object
JDepend
class analyzes directories of Java class files
and generates the following metrics for each Java package.
The number of packages that depend upon the classes within the analyzed package.
The number of packages that the classes in the analyzed package depend upon.
The ratio of the number of abstract classes (and interfaces) in the analyzed package to the total number of classes in the analyzed package.
The range for this metric is 0 to 1, with A=0 indicating a completely concrete package and A=1 indicating a completely abstract package.
The ratio of efferent coupling (Ce) to total coupling (Ce + Ca) such that I = Ce / (Ce + Ca).
The range for this metric is 0 to 1, with I=0 indicating a completely stable package and I=1 indicating a completely instable package.
The perpendicular distance of a package from the idealized line A + I = 1. A package coincident with the main sequence is optimally balanced with respect to its abstractness and stability. Ideal packages are either completely abstract and stable (x=0, y=1) or completely concrete and instable (x=1, y=0).
The range for this metric is 0 to 1, with D=0 indicating a package that is coincident with the main sequence and D=1 indicating a package that is as far from the main sequence as possible.
Package dependency cycles are reported along with the paths of packages participating in package dependency cycles.
These metrics are hereafter referred to as the "Martin Metrics", as they are credited to Robert Martin (Object Mentor Inc.) and referenced in the book "Designing Object Oriented C++ Applications using the Booch Method", by Robert C. Martin, Prentice Hall, 1995.
Example API use:
JDepend jdepend = new JDepend(); jdepend.addDirectory("/path/to/classes"); Collection packages = jdepend.analyze(); Iterator i = packages.iterator(); while (i.hasNext()) { JavaPackage jPackage = (JavaPackage) i.next(); String name = jPackage.getName(); int Ca = jPackage.afferentCoupling(); int Ce = jPackage.efferentCoupling(); float A = jPackage.abstractness(); float I = jPackage.instability(); float D = jPackage.distance(); boolean b = jPackage.containsCycle(); }
This class is the data model used by the jdepend.textui.JDepend
and jdepend.swingui.JDepend
views.
| Constructor and Description |
|---|
JDepend() |
JDepend(PackageFilter filter) |
| Modifier and Type | Method and Description |
|---|---|
void |
addDirectory(java.lang.String name)
Adds the specified directory name to the collection of directories to be
analyzed.
|
void |
addPackage(JavaPackage pkg)
Adds the specified Java package to the collection of
analyzed packages.
|
JavaPackage |
addPackage(java.lang.String name)
Adds the specified Java package name to the collection of analyzed
packages.
|
void |
addPackages(java.util.Collection packages)
Adds the specified collection of packages to the collection
of analyzed packages.
|
void |
addParseListener(ParserListener listener)
Registers the specified parser listener.
|
java.util.Collection |
analyze()
Analyzes the registered directories and returns the collection of
analyzed packages.
|
void |
analyzeInnerClasses(boolean b)
Determines whether inner classes are analyzed.
|
boolean |
containsCycles()
Indicates whether the packages contain one or more dependency cycles.
|
int |
countClasses()
Returns the number of registered Java classes to be analyzed.
|
int |
countPackages()
Returns the number of analyzed Java packages.
|
boolean |
dependencyMatch(DependencyConstraint constraint)
Indicates whether the analyzed packages match the specified
dependency constraint.
|
PackageFilter |
getFilter() |
JavaPackage |
getPackage(java.lang.String name)
Returns the analyzed package of the specified name.
|
java.util.Collection |
getPackages()
Returns the collection of analyzed packages.
|
void |
setComponents(java.lang.String components)
Sets the list of components.
|
void |
setFilter(PackageFilter filter) |
public JDepend()
public JDepend(PackageFilter filter)
public java.util.Collection analyze()
public void addDirectory(java.lang.String name) throws java.io.IOException
name
- Directory name.java.io.IOException
- If the directory is invalid.public void setComponents(java.lang.String components)
components
- Comma-separated list of components.public void analyzeInnerClasses(boolean b)
b
- true
to analyze inner classes;
false
otherwise.public java.util.Collection getPackages()
public JavaPackage getPackage(java.lang.String name)
name
- Package name.null
if the package was not analyzed.public int countPackages()
public int countClasses()
public boolean containsCycles()
true
if one or more dependency cycles exist.public boolean dependencyMatch(DependencyConstraint constraint)
true
if the packages match the dependency
constraintpublic void addParseListener(ParserListener listener)
listener
- Parser listener.public JavaPackage addPackage(java.lang.String name)
name
- Java package name.public void addPackages(java.util.Collection packages)
packages
- Collection of packages.public void addPackage(JavaPackage pkg)
pkg
- Java package.public PackageFilter getFilter()
public void setFilter(PackageFilter filter)
Copyright © 1999-2005 Clarkware Consulting, Inc.


import numpy as np
from collections import OrderedDict
from itertools import chain
from rdkit import Chem
from sklearn.utils import shuffle
from matplotlib import pyplot as plt
import tensorflow as tf
from tensorflow.keras.models import Sequential, Model
from tensorflow.keras.layers import Dense
from tensorflow.keras.layers import Dropout
from tensorflow.keras.layers import LSTM
Exercise: Molecule Generation with an RNN¶
In this exercise sheet we will be generating molecules using the simplified molecular-input line-entry system (SMILES). This system allows to describe the structure of chemical species in the form of a line notation, making it suited for a machine learning approach with recurrent neural networks. The data can be obtained from 3.
# Load the data
train_data = np.genfromtxt('smiles.csv',dtype='U')
“train_data” contains strings of characters that encode molecules, which you can visualize with the rdkit package 4.
train_data[:5]
array(['CC1C2CCC(C2)C1CN(CCO)C(=O)c1ccc(Cl)cc1',
'COc1ccc(-c2cc(=O)c3c(O)c(OC)c(OC)cc3o2)cc1O',
'CCOC(=O)c1ncn2c1CN(C)C(=O)c1cc(F)ccc1-2',
'Clc1ccccc1-c1nc(-c2ccncc2)no1',
'CC(C)(Oc1ccc(Cl)cc1)C(=O)OCc1cccc(CO)n1'], dtype='<U53')
# Note that this will only work if you installed the rdkit package!
Chem.MolFromSmiles(train_data[0])
Preparations¶
In order to make the data usable for a neural network we have to generate a mapping from characters to integers and vice versa.
# creating mapping for each char to integer, also mapping for the E (end) is manually inserted into the dictionaries.
unique_chars = sorted(list(OrderedDict.fromkeys(chain.from_iterable(train_data))))
# maps each unique character as int
char_to_int = dict((c, i) for i, c in enumerate(unique_chars))
# int to char dictionary
int_to_char = dict((i, c) for i, c in enumerate(unique_chars))
char_to_int
{'(': 0,
')': 1,
'-': 2,
'1': 3,
'2': 4,
'3': 5,
'4': 6,
'5': 7,
'6': 8,
'=': 9,
'B': 10,
'C': 11,
'F': 12,
'H': 13,
'N': 14,
'O': 15,
'S': 16,
'[': 17,
']': 18,
'c': 19,
'l': 20,
'n': 21,
'o': 22,
'r': 23,
's': 24}
int_to_char
{0: '(',
1: ')',
2: '-',
3: '1',
4: '2',
5: '3',
6: '4',
7: '5',
8: '6',
9: '=',
10: 'B',
11: 'C',
12: 'F',
13: 'H',
14: 'N',
15: 'O',
16: 'S',
17: '[',
18: ']',
19: 'c',
20: 'l',
21: 'n',
22: 'o',
23: 'r',
24: 's'}
The dataset contains sequences of varying length, which usually isn’t a problem when using a RNN. In the next exercise however we want to use batch training, which requires all sequences in the batch to be of equal length. We therefore have to append each sequence with an appropriate number of end characters ”E” to ensure an equal length. Before we do that we add “E” to our dictionary.
# add stop letter to dictionary
char_to_int.update({"E" : len(char_to_int)})
int_to_char.update({len(int_to_char) : "E"})
# how many unique characters do we have?
mapping_size = len(char_to_int)
reverse_mapping_size = len(int_to_char)
print ("Size of the character to integer dictionary is: ", mapping_size)
print ("Size of the integer to character dictionary is: ", reverse_mapping_size)
Size of the character to integer dictionary is: 26
Size of the integer to character dictionary is: 26
We want to train the RNN in a many-to-many approach, in which we always predict the respective next character in the sequence. The resulting dimension of both X and Y array should be (number of training samples, length of sequences, length of dictionary). The last dimension is used as a one-hot-encoding of the respective character. We create this encoding by iterating over the dataset, taking all characters of each sequence except for the last one as part of X, and all characters of each sequence except for the first one as part of Y.
# Generate the datasets
def gen_data(data, int_to_char, char_to_int, embed):
one_hot = np.zeros((data.shape[0], embed+1, len(char_to_int)),dtype=np.int8)
for i,smile in enumerate(data):
#encode the chars
for j,c in enumerate(smile):
one_hot[i,j,char_to_int[c]] = 1
#Encode endchar
one_hot[i,len(smile):,char_to_int["E"]] = 1
#Return two, one for input and the other for output
return one_hot[:,0:-1,:], one_hot[:,1:,:]
# get longest sequence
embed = max([len(seq) for seq in train_data])
# Get datasets
X, Y = gen_data(train_data, int_to_char, char_to_int, embed)
X, Y = shuffle(X, Y)
Training the RNN¶
Now we want to build and train the neural network. In order to account for different sequence lengths in the evaluation, we specify the first input dimension to the LSTM as ”None”.
"""CREATING THE LSTM MODEL """
# Create the model (simple 2 layer LSTM)
model = Sequential()
model.add(LSTM(256, input_shape=(None, X.shape[2]), return_sequences = True))
model.add(Dropout(0.25))
model.add(LSTM(256, return_sequences = True))
model.add(Dropout(0.25))
model.add(Dense(Y.shape[-1], activation='softmax'))
print (model.summary())
Model: "sequential"
_________________________________________________________________
Layer (type) Output Shape Param #
=================================================================
lstm (LSTM) (None, None, 256) 289792
_________________________________________________________________
dropout (Dropout) (None, None, 256) 0
_________________________________________________________________
lstm_1 (LSTM) (None, None, 256) 525312
_________________________________________________________________
dropout_1 (Dropout) (None, None, 256) 0
_________________________________________________________________
dense (Dense) (None, None, 26) 6682
=================================================================
Total params: 821,786
Trainable params: 821,786
Non-trainable params: 0
_________________________________________________________________
None
# Compile the model
model.compile(loss = 'categorical_crossentropy', optimizer='adam')
# Fit the model
history = model.fit(X, Y, epochs = 50, batch_size = 256)
Epoch 1/50
59/59 [==============================] - 33s 554ms/step - loss: 1.8214
Epoch 2/50
59/59 [==============================] - 34s 582ms/step - loss: 1.4516
Epoch 3/50
59/59 [==============================] - 35s 596ms/step - loss: 1.1849
Epoch 4/50
59/59 [==============================] - 35s 588ms/step - loss: 0.9608
Epoch 5/50
59/59 [==============================] - 32s 544ms/step - loss: 0.8348
Epoch 6/50
59/59 [==============================] - 32s 546ms/step - loss: 0.7496
Epoch 7/50
59/59 [==============================] - 31s 531ms/step - loss: 0.6975
Epoch 8/50
59/59 [==============================] - 31s 525ms/step - loss: 0.6551
Epoch 9/50
59/59 [==============================] - 32s 545ms/step - loss: 0.6209
Epoch 10/50
59/59 [==============================] - 31s 529ms/step - loss: 0.5963
Epoch 11/50
59/59 [==============================] - 31s 531ms/step - loss: 0.5704
Epoch 12/50
59/59 [==============================] - 31s 532ms/step - loss: 0.5532
Epoch 13/50
59/59 [==============================] - 32s 544ms/step - loss: 0.5366
Epoch 14/50
59/59 [==============================] - 31s 532ms/step - loss: 0.5219
Epoch 15/50
59/59 [==============================] - 31s 531ms/step - loss: 0.5097
Epoch 16/50
59/59 [==============================] - 31s 529ms/step - loss: 0.4999
Epoch 17/50
59/59 [==============================] - 32s 543ms/step - loss: 0.4891
Epoch 18/50
59/59 [==============================] - 32s 546ms/step - loss: 0.4835
Epoch 19/50
59/59 [==============================] - 34s 575ms/step - loss: 0.4734
Epoch 20/50
59/59 [==============================] - 32s 539ms/step - loss: 0.4662
Epoch 21/50
59/59 [==============================] - 31s 533ms/step - loss: 0.4590
Epoch 22/50
59/59 [==============================] - 31s 532ms/step - loss: 0.4538
Epoch 23/50
59/59 [==============================] - 31s 533ms/step - loss: 0.4497
Epoch 24/50
59/59 [==============================] - 32s 538ms/step - loss: 0.4432
Epoch 25/50
59/59 [==============================] - 32s 537ms/step - loss: 0.4391
Epoch 26/50
59/59 [==============================] - 31s 532ms/step - loss: 0.4340
Epoch 27/50
59/59 [==============================] - 31s 530ms/step - loss: 0.4305
Epoch 28/50
59/59 [==============================] - 32s 538ms/step - loss: 0.4274
Epoch 29/50
59/59 [==============================] - 31s 529ms/step - loss: 0.4226
Epoch 30/50
59/59 [==============================] - 31s 531ms/step - loss: 0.4190
Epoch 31/50
59/59 [==============================] - 31s 528ms/step - loss: 0.4146
Epoch 32/50
59/59 [==============================] - 31s 534ms/step - loss: 0.4111
Epoch 33/50
59/59 [==============================] - 31s 527ms/step - loss: 0.4089
Epoch 34/50
59/59 [==============================] - 31s 528ms/step - loss: 0.4042
Epoch 35/50
59/59 [==============================] - 31s 529ms/step - loss: 0.4020
Epoch 36/50
59/59 [==============================] - 31s 531ms/step - loss: 0.3993
Epoch 37/50
59/59 [==============================] - 31s 528ms/step - loss: 0.3953
Epoch 38/50
59/59 [==============================] - 31s 527ms/step - loss: 0.3926
Epoch 39/50
59/59 [==============================] - 31s 532ms/step - loss: 0.3916
Epoch 40/50
59/59 [==============================] - 31s 530ms/step - loss: 0.3878
Epoch 41/50
59/59 [==============================] - 32s 542ms/step - loss: 0.3860
Epoch 42/50
59/59 [==============================] - 32s 539ms/step - loss: 0.3843
Epoch 43/50
59/59 [==============================] - 32s 538ms/step - loss: 0.3811
Epoch 44/50
59/59 [==============================] - 31s 525ms/step - loss: 0.3797
Epoch 45/50
59/59 [==============================] - 31s 533ms/step - loss: 0.3773
Epoch 46/50
59/59 [==============================] - 31s 525ms/step - loss: 0.3743
Epoch 47/50
59/59 [==============================] - 32s 534ms/step - loss: 0.3725
Epoch 48/50
59/59 [==============================] - 31s 526ms/step - loss: 0.3709
Epoch 49/50
59/59 [==============================] - 32s 541ms/step - loss: 0.3686
Epoch 50/50
59/59 [==============================] - 31s 526ms/step - loss: 0.3667
Interlude: How to store and load keras models¶
Your saved model will include:
The model’s architecture/config
The model’s weight values (which were learned during training)
The model’s compilation information (if compile()) was called
The optimizer and its state, if any (this enables you to restart training where you left)
# Store to not having to train again...
model.save("twolayerlstm")
# Load to continue training or evaluate...
model = tf.keras.models.load_model("twolayerlstm")
plt.plot(history.history["loss"], '-o', label="Loss")
plt.legend()
Evaluation¶
The average success rate on the training set is the percentage of characters correctly predicted by the network.
"""Predictions"""
# Calculate predictions
predictions = model.predict(X, verbose=0)
# Compare to correct result
train_res = np.argmax(Y,axis=2)-np.argmax(predictions,axis=2)
# Count correct and incorrect predictions
no_false = np.count_nonzero(train_res)
no_true = len(Y)*embed-no_false
print("Average success rate on training set: %s %%" %str(np.round(100*no_true/(embed*len(Y)),2)))
Average success rate on training set: 87.76 %
# Take a look at the model predictions on the training set next to the true result
for i in range(40):
v = model.predict(X[i:i+1])
idxs = np.argmax(v, axis=2)
pred= "".join([int_to_char[h] for h in idxs[0]])
# Note that here we use the argmax and do not sample using the model output
idxs2 = np.argmax(Y[i:i+1], axis=2)
true = "".join([int_to_char[k] for k in idxs2[0]])
if true != pred:
print (true, pred)
CCCNC(=O)CSc1nnc(CC)n1NEEEEEEEEEEEEEEEEEEEEEEEEEEEEEE C(((C(=O)CSc1nnc(-))n1NEEEEEEEEEEEEEEEEEEEEEEEEEEEEEE
c1nc(S(=O)(=O)N(C)C2CCCCC2)cn1CEEEEEEEEEEEEEEEEEEEEEE C1cc(NC=O)(=O)N2C)C)CCCCC2)c(1CEEEEEEEEEEEEEEEEEEEEEE
n1ccnc1SCC(=O)c1ccc(Cl)cc1ClEEEEEEEEEEEEEEEEEEEEEEEEE C1c((c1SCC(=O)N1ccc(Cl)cc1ElEEEEEEEEEEEEEEEEEEEEEEEEE
n1cc(CNC(=O)c2sc3cccc(Cl)c3c2Cl)cn1EEEEEEEEEEEEEEEEEE C1c((C(C(=O)c2cc3c(cccC))c3n2=))nc1EEEEEEEEEEEEEEEEEE
=c1oc2ccccc2cc1S(=O)(=O)c1ccc(F)cc1EEEEEEEEEEEEEEEEEE =C1cc2ccccc2c(1C(=O)(=O)c1ccc(C)cc1EEEEEEEEEEEEEEEEEE
=CC(O)C(Oc1ccccc1)n1nnc2ccccc21EEEEEEEEEEEEEEEEEEEEEE CCCNCcC(C)1ccccc1)C1nnc2ccccc21EEEEEEEEEEEEEEEEEEEEEE
=C(Nc1cccc2ncccc12)c1ccc2[nH]c(=O)c(=O)[nH]c2c1EEEEEE =C(Cc1cccccccnnc12)c1cccccnH]c(=O)[c=O)[nH]c2c1EEEEEE
OC(=O)c1ccc(NC(=O)CCn2c(=O)oc3ccccc32)cc1EEEEEEEEEEEE Cc(=O)c1ccc(NC(=O)COc2c(=O)oc3ccccc32)cc1EEEEEEEEEEEE
c1cc(SCC(N)=O)n2c(nc3ccccc32)c1CEEEEEEEEEEEEEEEEEEEEE C1cccC(C(=)=O)nnc3-c3ccccc32)n1CEEEEEEEEEEEEEEEEEEEEE
Oc1ccc(C2NC(=O)c3c(sc(C)c3C)N2)cc1EEEEEEEEEEEEEEEEEEE Cc1ccc(C(CC(=O)c3cccc3=)c3C)c2)cc1EEEEEEEEEEEEEEEEEEE
Oc1ccc(C(=O)c2nc3ccccc3n2C)cc1EEEEEEEEEEEEEEEEEEEEEEE Cc1ccc(C(=O)N2cc(ccccc3n2C)cc1EEEEEEEEEEEEEEEEEEEEEEE
lc1ccc(-c2noc(-c3ccncc3)n2)cc1EEEEEEEEEEEEEEEEEEEEEEE Cc1ccc(Cc2nnc(Cc3ccccc3)n2)cc1EEEEEEEEEEEEEEEEEEEEEEE
c1ccc(Cn2ccc(=O)c(OCc3ccccc3)c2C)cc1EEEEEEEEEEEEEEEEE C1ccc(C(2c(c(CO)c(=CC3ccccc3)n2N)cc1EEEEEEEEEEEEEEEEE
CC1Sc2sc(=O)sc2SC(CC)C1=OEEEEEEEEEEEEEEEEEEEEEEEEEEEE C((Cc2cc(NO)cc2N((=)(C1=OEEEEEEEEEEEEEEEEEEEEEEEEEEEE
C(=O)NCCc1nc2ccccc2n1Cc1ccccc1EEEEEEEEEEEEEEEEEEEEEEE C(=O)NcCC1cc2ccccc2n1Cc1ccccc1EEEEEEEEEEEEEEEEEEEEEEE
c1ccccc1OCCCC(=O)Nc1nccs1EEEEEEEEEEEEEEEEEEEEEEEEEEEE C1ccc((1NCC(N(=O)Nc1cccs1EEEEEEEEEEEEEEEEEEEEEEEEEEEE
1ccc2c(c1)NC(c1ccc3c(c1)OCO3)n1nnnc1-2EEEEEEEEEEEEEEE 1ccc(c(c1)N((=1ccccc(c1)OCO3)C1cccc1-2EEEEEEEEEEEEEEE
C(=O)c1ccc(NC(=O)N2CCc3ccccc3C2)cc1EEEEEEEEEEEEEEEEEE C(=O)N1ccc(NC(=O)CcCCC3ccccc322)cc1EEEEEEEEEEEEEEEEEE
COC(=O)CSc1nc(C)c(Oc2ccccc2)c(=O)[nH]1EEEEEEEEEEEEEEE C(C(=O)c1c1nn2-)c(CC2ccccc2)n(=O)[nH]1EEEEEEEEEEEEEEE
C(=O)Oc1cccc(C(=O)Nc2cccc(C)n2)c1EEEEEEEEEEEEEEEEEEEE C(=O)Nc1ccc((C(=O)Nc2cccccC(c2)c1EEEEEEEEEEEEEEEEEEEE
=C(NCc1ccccc1)c1noc2c1CCc1ccccc1-2EEEEEEEEEEEEEEEEEEE =C(Ccc1ccccc1)c1ccc2c1CCC2ccccc122EEEEEEEEEEEEEEEEEEE
N(C)c1ccc(C(=O)CC2(O)C(=O)Nc3ccccc32)cc1EEEEEEEEEEEEE C(C)C1ccc(C(=O)NOC(C)C(=O)Nc3ccccc32)cc1EEEEEEEEEEEEE
c1cc(C)n2c(SCC(=O)NCC(F)(F)F)nnc2n1EEEEEEEEEEEEEEEEEE C1cccC)c(n(SCC(=O)NCc3=)(F)F)ncc2n1EEEEEEEEEEEEEEEEEE
COc1cccc(C2C(C(N)=O)C(C)=Nc3nnnn32)c1EEEEEEEEEEEEEEEE C(C1ccc(cC(CC=)F)=O)C(=)(OC3ncnn32)c1EEEEEEEEEEEEEEEE
Oc1ccc(N(CC(=O)N2CCCCCC2)S(C)(=O)=O)cc1EEEEEEEEEEEEEE Cc1ccc(CCCC(=O)NCCCCCC22)C(C)(=O)=O)cc1EEEEEEEEEEEEEE
Oc1cccc(CC(=O)Nc2nc3c(s2)C(=O)CC(C)(C)C3)c1EEEEEEEEEE Cc1ccc(cC((=O)Nc2cc(ccs2)CCCO)CC3C)CC)C3)c1EEEEEEEEEE
=S(=O)(Cc1cc(-c2ccccc2)n[nH]1)c1ccccc1EEEEEEEEEEEEEEE =C(=O)(Nc1cccCc2ccccc2)nonH]1)N1ccccc1EEEEEEEEEEEEEEE
c1cccc(-n2ncc3c(=O)n(Cc4ccccn4)cnc32)c1CEEEEEEEEEEEEE C1ccc((Nc2nnc3c(=O)n(CC4ccccc4)nnc32)c1EEEEEEEEEEEEEE
CCNC(=O)Cn1nc(CC)n2c(cc3occc32)c1=OEEEEEEEEEEEEEEEEEE C((C(=O)CS1cn(C()ccc3=c3cccc32)c1=OEEEEEEEEEEEEEEEEEE
c1cc(Cl)ccc1OC(C)C(=O)Nc1ccc(C(N)=O)cc1EEEEEEEEEEEEEE C1cccC))ccc1NCCC)C(=O)NC1ccccCEN)=O)cc1EEEEEEEEEEEEEE
=C(Cn1nc(-c2cccs2)ccc1=O)Nc1nccs1EEEEEEEEEEEEEEEEEEEE =C(CO1cn(-c2cccc2)ccc1=O)NC1cccs1EEEEEEEEEEEEEEEEEEEE
CNC(=O)n1cc(-c2ccnc3ccccc23)c(-c2ccccn2)n1EEEEEEEEEEE C(((=O)C1c((-c2cccccccccc23)n(Cc2ccccc2)n1EEEEEEEEEEE
COC(=O)NS(=O)(=O)c1ccc(OC)cc1EEEEEEEEEEEEEEEEEEEEEEEE C(C(=O)c1c=O)(=O)c1ccc(CC)c(1EEEEEEEEEEEEEEEEEEEEEEEE
OC(=O)c1cnn2c(C(F)(F)Cl)cc(C)nc12EEEEEEEEEEEEEEEEEEEE Cc(=O)c1ccc(c(-(F)(F)Fl)cc(C(n112EEEEEEEEEEEEEEEEEEEE
Oc1cc(N)c(-c2nc3ccccc3[nH]2)cc1OCEEEEEEEEEEEEEEEEEEEE Cc1cccCCc(Cc2cn3ccccc3nnH]2)cc1OCEEEEEEEEEEEEEEEEEEEE
COc1ccccc1NC(=O)CSc1ccc2c(c1)OCCO2EEEEEEEEEEEEEEEEEEE C(C1ccc(c1NC(=O)COc1ncccc(c1)OCOO2EEEEEEEEEEEEEEEEEEE
COCCOc1cccc(C(=O)NC2CCCCC2)c1EEEEEEEEEEEEEEEEEEEEEEEE C(C(NC1ccc(cC(=O)NC2CCCCC2)c1EEEEEEEEEEEEEEEEEEEEEEEE
c1nc(COc2ccc(Cl)cc2Cl)n[nH]1EEEEEEEEEEEEEEEEEEEEEEEEE E1cc(N(c2ccccCl)cc2)l)nnnH]1EEEEEEEEEEEEEEEEEEEEEEEEE
Oc1ccc(-c2csnn2)cc1S(=O)(=O)Nc1ccccc1EEEEEEEEEEEEEEEE Cc1ccc(Cc2nccc2)c(1C(=O)(=O)NC1ccccc1EEEEEEEEEEEEEEEE
To generate a sequence of SMILES characters starting from a single start character until the end letter ”E” appears requires a sampling step, where we use the probability distribution over the characters produced by the network at each step to sample the next letter.
def gen_mol(model, start_char):
# Array of probabilities
preds = []
# Start character
x = np.zeros((1,1,26))
x[0,0,char_to_int[start_char]] = 1
stringc = start_char
# Predict first character by randomly sampling from model output
pred = model.predict(x).flatten()
ch = int_to_char[np.random.choice(np.arange(0,len(char_to_int)), p=pred)]
preds.append(pred)
stringc += ch
x1 = np.zeros((1,1,26))
x1[0,0,char_to_int[ch]] = 1
x = np.append(x,x1,axis=1)
# Continue as long as we do not add 'E'
while ch !='E':
pred = model.predict(np.expand_dims(x[:,-1,:],axis = 1)).flatten()
ch = int_to_char[np.random.choice(np.arange(0,len(char_to_int)), size=None, replace=True, p=pred)]
preds.append(pred)
x1 = np.zeros((1,1,26))
x1[0,0,char_to_int[ch]] = 1
x = np.append(x,x1,axis=1)
stringc += ch
print(stringc)
return np.array(preds)
# Let's try it out!
preds = gen_mol(model, 'C')
CCCO=CO=C)CO=CCCc1)(=CO=NE
# Plot probability distributions with opacity given by the order in the sequence
fig, ax = plt.subplots()
for i in range(len(preds)):
ax.plot(preds[i,:], 'b', alpha=min(i * 0.01, 1))
ax.set_xticks(np.arange(0,len(char_to_int)))
ax.set_xticklabels(list(char_to_int.keys()))
plt.ylabel('Prob.')
plt.show()
# The longer the sequence gets, the higher the probability of 'E' should get.
plt.plot(preds[:,-1],'-o')
plt.ylabel('Prob.')
plt.xlabel('Sequence length')
plt.show()


TreeView / Data Binding
In this sample we are using an arbitrary data source to load the content of TreeView. In order this to work, you need to match the data fields from your data source to the fields of item objects. You can use any custom names for your data, as long as you match those names with object fields, the TreeView will be populated.
For purpose of data binding, we are using the dataFields attribute which accepts an object containing all names for the data fields (this property can also be used as parameter in loadData method, as it is in this example case). This property allows you to link fields from your data source to the fields of item objects in the TreeView.
Default settings for this property are:
dataFields = {
allowDrag: 'allowDrag',
allowDrop: 'allowDrop',
allowEdit: 'allowEdit',
allowFocus: 'allowFocus',
autoCheck: 'autoCheck',
checkBoxSettings: 'checkBoxSettings',
checked: 'checked',
checkState: 'checkState',
content: 'content',
contextMenu: 'contextMenu',
enabled: 'enabled',
expanded: 'expanded',
hasChildren: 'hasChildren',
icon: 'icon',
id : 'id',
items: 'items',
pid : 'pid',
statusIcon: 'statusIcon',
style: 'style',
text : 'text',
value: 'value'
}
For more information check out the source code of this sample.


@* * Copyright 2023 HM Revenue & Customs * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. *@ @import config.AppConfig @import models.request.AuthenticatedRequest @import models.viewmodels.managementtools._ @import controllers.v2.routes.ManageKeywordsController @import views.html.v2.case_status_keywords_view @(manageKeywordsTab: ManageKeywordsTab)(implicit request: AuthenticatedRequest[_], messages: Messages, appConfig: AppConfig)
| Keyword | User | Goods | Case type | Case status |
|---|---|---|---|---|
| @{result.keyword.trim.toUpperCase} | @result.name | @result.goods | @result.caseType.prettyName | @case_status_keywords_view(result.status, s"${manageKeywordsTab.tabMessageKey}-status-label-$index") |


|
Hi! Thanks for joining the GreenMoney waiting list. We'll be sure to send out a personal invite as soon as we can. In the meantime, you can find us on Facebook or follow us on Twitter or feel free to explore a few our of rewards. We're really excited to have you join our amazing community and help you green your life!
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About Us
The Short
Don't use COVID-19 as an excuse to be racist, guys.
The Long
The global response to COVID-19 has made it clear that as the virus spread from China to other countries, anti-Asian sentiments and discrimination followed closely behind, resulting in the plummeting of Asian businesses, near-deserted Chinatown districts, and racial bullying and harassment of people of and not of Chinese descent. Our organization seeks to bring awareness and educate others on the impacts of COVID-19 on Asian communities as well as the prevalence of xenophobia against Asians as a whole.
Our Mission
We are commited to ending xenophobia and oppression of individuals in current and future complicated times.
Our Values
- Embrace Your Community
- Dedication to Diversity and Integrity
- COmmitment to Engagement and Connectivity


Landing Page
Special Projects
This story is part of a series of specially designed stories that represents some of the best journalism The Post has to offer. Check out the rest of the special projects here.
Kelsey Boeing
10/18/2018
After graduating from college, many former students register to be a part of the Ohio University Alumni Association.
According to the 2018 OU Factbook, about 237,000 alumni live in the United States and about 8,600 live internationally.
The five states that have the most OU alumni are Ohio, with about 144,700 alumni; California, with about 8,000; Florida, with about 8,000; Pennsylvania, with about 7,000 and New York, with about 5,000.
Erica Lipscomb, the associate director for external relations of the OU Alumni Association, said the association is more than 150 years old.
“We have alumni all across the country and the globe,” she said in an email. “We (also) have 54 alumni chapters and societies, all are led by alumni volunteers.”
Membership to the association is free to all OU graduates.
As a member of the association, one can take part in events and services, Lipscomb said.
“Each year the OAA, in partnership with our volunteer groups, campus partners, hosts close to 300 events a year,” she said in an email. “These events range from professional networking, student networking, family outings, game watches, as well as community service projects.”
Other benefits of being in the association include discounts on services such as banking, insurance and travel, according to the OU Alumni Association’s website.
Landing Page
This story is part of a series of specially designed stories that represents some of the best journalism The Post has to offer. Check out the rest of the special projects here.


---
layout: post
title: Facial Recognition and Biometrics
date: '2009-02-18T06:46:00.003-05:00'
author: rammic
tags:
- facial detection
- biometrics
- stupidity
modified_time: '2009-02-18T07:03:36.008-05:00'
blogger_id: tag:blogger.com,1999:blog-6180833599810788176.post-3180110775061629017
blogger_orig_url: http://blog.rammic.com/2009/02/facial-recognition-and-biometrics.html
---
Slashdot points to an article describing the "cracking" of facial recognition software used as an alternative login for some laptops. It may be a liberal use of the term "cracking," but it's yet another reason why biometrics should be used sparingly (if at all) and as a single factor in a multi-factor authentication system. It's just too easy to capture and reproduce human qualities that most biometric readers will believe. Try revoking those credentials.
Someone in the identity movement should contact Hollywood and tell them to knock off the sci-fi authentication schemes. I'm convinced that is where much of this biometric craze originates. Isn't painful to watch a show where biometrics provide the "strong" security (which actually offer trivial protection), and the next scene has a ciphertext or firewall being cracked in seconds?


Webpage Basics: Content, Padding, Border and Margins
Sunday, September 28th, 2014
For this week's technical blog entry, I decided to write about margin, padding and borders. These tools are used when styling your website, generally used in a CSS style sheet and are a very important as every webpage is built with these tools and give a website and it's elements it's structure and framework. They help set the spacing of each object on a webpage.
Margin, padding and borders are used to describe the area around an element. In HTML, all elements are considered boxes as they are either a square or rectangle. This includes, text, pictures, tables, etc. For example a line of text would be the content of the element. Beyond the content is another (usually invisible) space called the padding, adding padding to the object actually changes the size of the element. Beyond the padding is the border, whcih can be blank or stlyed however you want. Beyond the border of the object is the margin. The margin is like padding however it relates to how elements are spaced between each other. All of these items can have any width including no width at all!
So the next time you're on a webpage, (hint: you're reading this on one) look at the elements and visualize every item on the webpage in a content box. A developer chooses each item's padding, borders and margins so that everything looks nice to the reader. The developer's recipe is then formtted by the browser into the nice webpage you see. Utilizing margin, padding and borders are very important, they can be tricky but allow you to build a website.


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Books
New Releases
New Releases audio books
Bestsellers
Upcoming
Box Sets
Gaming
Upcoming
PC
PS Vista
PS3
XBox
Consoles
Mobiles
New Arrivals
Bestsellers
Low Price
Tablets
Cameras
Point & Shoots
Digital SLR
Camcorders
Bestsellers
Musics
New Releases
Bestsellers
Rock Music
Devotional & Spiritual
Sufi & Ghazal


Please enter information
Number Of Orders:
The amount you wish to purchase(
*
Required)
Contact:
The real name of the contact(
*
Required)
Landline Number:
The contact landline number
Mobile:
The mobile phone number(
*
Required)
ID Code:
Please enter an ID code. This code can be recieved by the seller once the order is made, and it helps the seller to identify you upon trading.
Remark:


Reports if a class field overrides parent class field.
If fields are re-defined intentionally, consider reinitializing them in class constructor instead.
To suppress this, click on the access modifier and suppress reports for that statement (suppression will be extended
to the entire class).


My First Heading
My second Heading
My first paragraph.
My first image.
My second image.
Link1
Link2
My thirth image.
Strong text


Interface IGameAction<T>
Action of the agent
Namespace: Tamato.GaifaGoap
Assembly: Tamato.GaifaGoap.dll
Syntax
public interface IGameAction<in T>
where T : class, IModel<T>
Type Parameters
| Name | Description |
|---|---|
| T | Model |
Properties
ActionName
Gets a name of this action.
Declaration
string ActionName { get; }
Property Value
| Type | Description |
|---|---|
| String |
Methods
CheckContextPrecondition()
Check if current world state satisfy real-time precondition.
Declaration
bool CheckContextPrecondition()
Returns
| Type | Description |
|---|---|
| Boolean |
RunAction(T, InterruptReceiver, CancellationToken)
Execute this action.
Declaration
UniTask<bool> RunAction(T model, InterruptReceiver interruptReceiver, CancellationToken onDestroyCancellationToken)
Parameters
| Type | Name | Description |
|---|---|---|
| T | model | Model after execute TakeAction(T) method. |
| InterruptReceiver | interruptReceiver | Receiver use to receive plan interruption signal from external source. |
| CancellationToken | onDestroyCancellationToken | Token use to cancel this action when the agent is destroyed. |
Returns
| Type | Description |
|---|---|
| Cysharp.Threading.Tasks.UniTask<Boolean> | True if the action execute successfully, otherwise false. |
TakeAction(T)
Check if the model's state can satisfy the precondition, then Transform the model's state based on the effect of this action.
Declaration
(bool success, float cost) TakeAction(T model)
Parameters
| Type | Name | Description |
|---|---|---|
| T | model |
Returns
| Type | Description |
|---|---|
| ValueTuple<Boolean, Single> | (Success, Cost) Success = True if state satisfy the precondition and state is changed, otherwise false. Cost = cost of this action, it's ignored if success is false. |


Example Links
A small list of sites which are bypassed by FastForward follows. Of course, because FastForward is bypassing several templates which are used in many places, it's impossible for us to give you a proper list of all domains that are bypassed.
Is there a site FastForward is not yet or no longer bypassing? Please open an issue on Github or send us an email!
- Adf.ly
- Sh.st (Shorte.st)
- Show.co
- SourceForge.net
- sub2unlock.com
- mylink.zone (Clictune.com)
- srt.am (Short.am)
- cshort.org
- link.tl
- won.pe
- Bit.ly (Tracker Bypass)
- Goo.gl (Tracker Bypass)
- T.co (Tracker Bypass)
- Grabify.link (Tracker Bypass)
- l.ly (GemPixel/KBRMedia Premium URL Shortener Template)
- tetew.info (GemPixel/KBRmedia Premium URL Shortener Template)
- animanganews.com (Safelink Bloggerku Template)
- losstor.com
- onepieceex.net
- Bluemediafiles.com
- complete2unlock.com
- sub2unlock.net
- do2unlock.com
- mirrorace.com
- linkrex.net (AdLinkFly Template) (Crowd Bypass)
- ouo.io (Crowd Bypass)
- rom.io (Crowd Bypass)
- bc.vc (Crowd Bypass)
- cuio.io (Crowd Bypass)
- adyou.me (Crowd Bypass)
- oke.io (Crowd Bypass)
- cpmlink.net
- hidelink.club
- ux9.de
- telolet.in
- Akoam.net


Call for Papers
IMPORTANT DATES
- July 1, 2015 5:00pm PDT: Submission of Short Papers (4-6 pages)
- Update: August 15, 2015 5:00pm PDT: Poster Submissions
- September 4, 2015: Author Notification
- September 18, 2015: Camera Ready Submission and Copyright Forms
Format
The symposium will feature a series of invited presentations by leading data scientists covering visualization in data science. In addition, there will be short paper presentations and a poster session.
Papers
Paper submissions should be 4-6 pages and describe the role, application, and impact of visualization in data science. We would like to particularly encourage papers that cross disciplinary boundaries and show how visualization in data science can be a catalyst for discovery. Papers will be published on the symposium website and will be included on the VIS USB stick. We consider papers as work in progress and encourage authors to publish an improved version of the paper in a journal or at another venue at a later time.
Review Process
Paper submissions will be managed by the Program Chairs and sent to external reviewers to evaluate the work’s novelty and significance. You have the option to have your work reviewed via a double-blind process; to do this, simply be sure to exclude all identifying information in the submitted manuscript file, ensuring that the reviewers will not know the identify of the authors. Otherwise, the review process will be single-blind, i.e., the reviewers will know the identity of the authors, but the authors will not know the identity of the reviewers.
Submission and Formatting Guidelines
Please format your submission according to the VGTC formatting guidelines.
To submit a paper please use the Precision Conference System. After logging in go to “new submissions” and select “Submit to Papers” for VDS 2015.
Posters
Submissions consist of a brief 250-word abstract and one supporting image that summarizes your work. You must present a corresponding poster during the designated poster session, and are encouraged to incorporate a demo or video into your presentation. You also have the opportunity to give a brief oral preview during a plenary ‘fast forward’ session. We encourage submission of work in progress and preliminary results, previously published work from other venues, and visualization challenges relevant to data science.
Review Process
Poster submissions will be reviewed for relevance and interest to the data science community by the program chairs.
Submission and Formatting Guidelines
Poster submissions consist of a 250 word textual abstract and a supporting image (required). Optionally, you can also submit a link to a short video or other supplementary material such as software.
Accepted poster submissions will be asked to prepare a poster and present it on the day of the symposium.
To submit a poster please use the Precision Conference System. After logging in go to “new submissions” and select “Submit to Posters” for VDS 2015.


Some pieces of the gradebook are capable of being expanded, for more details or command options, or collapsed to limit what is displayed to the user. Particularly, the Quick Menu bar expansion provides a user with quick options to add a new item to the spreadsheet, publish grades to students and university servers, and view assignment submissions by students. This menu also collapses for users that don't want another menu above the spreadsheet or that prefer to select commands from
their path in the top-menu bar at the top of the window. Figure 1 shows a sample class with the Quick Menu shown in its
expanded form.
Figure 1: Quick Menu Expanded.
To expand and collapse the Quick Menu, the user simply clicks on the black arrow located next to the words "Quick Menu" at
the top of Quick Menu bar. The user toggles the expanded or collapsed view by clicking the arrow repeatedly. Figure 2 below shows an collapsed view of the Quick Menu that results from the user clicking the arrow while the menu is expanded.
Clicking the arrow again returns it to the previously expanded form.
Figure 2: Quick Menu Collapsed.
The Category section of the class spreadsheet also have the ability to expand and collapse. Each category list toggles its expansion with the arrows located next to the name of each category. The expanded view of each category shows the individual assignments associated with each category and update the spreadsheet to display the scores each student received on the assignments.
Until now, the Projects and Tests categories have been collapsed in our
above figures; Figure 3 shows an expanded view of both categories. Again, this is done by clicking on the arrow located next to the Category names.
Figure 3: Categories Expanded.
Expanding and collapsing fields provides the user with more or less options to operate commands and view items in the spreadsheet while letting them tweak it to their preference.


---
layout: post
title: I am Sailing
subtitle: 冲浪
date: '2018-11-01T23:57:00.000+08:00'
author: DotIN13
tags:
- Life
modified_time: '2019-11-03T23:56:38.761+08:00'
blogger_id: tag:blogger.com,1999:blog-7275524089009887162.post-1309789971424455843
blogger_orig_url: https://dotin13laf.blogspot.com/2018/11/i-am-sailing.html
---
When I got back from labour
My mind was playing I am Sailing
I opened my Netease Music
I
am Sailing was exactly the song on the top of my Daily Hits List
This is Magic I say
Even better
than Magic 2


OCR
Web Application
(current)
API
(current)
Source code
(current)
OCR APP
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Psalms 29:11
The LORD will give strength unto his people; the LORD will bless his people with peace.


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Redeemed by Hercules, son of Zeus, Xena, once known as "Murderer," tries to fulfill her destiny as the "Warrior Princess" fighting for the greater good. On her .
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REVIEW OF XENA: WARRIOR PRINCESS SEASON THREE DVDS . For many fans, this plot device worked, for many others it was such a departure from the .
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You can watch Xena: Warrior Princess instantly on Netflix.
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Xena: Warrior Princess - Wikipedia, the free encyclopedia
Xena: Warrior Princess is set primarily in a mythological fantasy version of ancient Greece and was filmed in New Zealand.
http://en.wikipedia.org/wiki/Xena:_Warrior_Princess
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Xena asks a samurai, Morimoto, to kill her in battle, as she must be dead to fight . A Friend in Need I | Episodes of Xena: Warrior Princess | N/A ? . This also produces a major plot inconsistency for the season 2 episode The Xena Scrolls.
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. the twelve scattered tribes of the Amazon Nation, and were significant in the overall plot of Xena: Warrior Princess. The culture of the Northern Amazons was, .
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Xena: Warrior Princess - Xena
Jun 11, 1998 . The character of Xena: Warrior Princess started out as a one time villan . Bitter and on her own, she plots to defeat Darfus and decides to bring .
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Read the Xena: Warrior Princess [TV Series] plot summary and movie synopsis. Find interviews with the cast and crew, photos, and more on Fandango.com.
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Xena: Warrior Princess - Television Tropes & Idioms
A description of tropes appearing in Xena Warrior Princess. . Xena had many things in common with Hercules, even sharing certain plot lines between the two .
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Plot Developments and Fun facts I Learned From - Whoosh!
XENA: WARRIOR PRINCESS, SEASON 2. 01. A chakram can cost you .
http://www.whoosh.org/issue10/clog2.html
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A Friend In Need on Xena
While Gabrielle contemplates the cosmos, Xena contemplates going south -- she has . As Gabrielle falls to the ground yelling for her friend, the warrior princess . Both projected events are given equal weight in the converging plot lines.
http://www.littlereview.com/getcritical/xena/friend.htm
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Xena Warrior Princess: Season 2 ~ Lucy Lawless DVD $11.49 . a little shaky, the acting is new & unsual, & the plots are somewhat undefined & experimental .
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"Xena: Warrior Princess" Hooves and Harlots (TV episode 1995 - IMDb
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"Xena: Warrior Princess" The Deliverer (TV episode 1997) - IMDb
Xena: Warrior Princess: Season 3, Episode 4. The Deliverer . image of title · Top 60 Best Episodes of Xena: Warrior Princess . Plot Summary | Add Synopsis .
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Main page: List of Xena: Warrior Princess episodes. The show is a historical fantasy set in ancient Greece, although with a flexible .
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Xena: Warrior Princess (season 1) - Wikipedia, the free encyclopedia
The first season of the television series Xena: Warrior Princess commenced airing in . Ares plots to get Xena back into his fold by framing her for the murder of .
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"Xena: Warrior Princess" (1995)
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Girls Just Wanna Have Fun (Xena) - Wikipedia, the free encyclopedia
List of Xena: Warrior Princess episodes . Elsewhere, Bacchus plots to turn Xena into an "eternal bacchae". The next day the protagonists go to the cemetery .
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Tcl_SubstObj - perform substitutions on Tcl objects
#include <tcl.h>
Tcl_Obj *
Tcl_SubstObj(interp, objPtr, flags)
- Tcl_Interp *interp (in)
-
Interpreter in which to execute Tcl scripts and lookup variables. If
an error occurs, the interpreter's result is modified to hold an error
message.
- Tcl_Obj *objPtr (in)
-
A Tcl object containing the string to perform substitutions on.
- int flags (in)
-
ORed combination of flag bits that specify which substitutions to
perform. The flags TCL_SUBST_COMMANDS,
TCL_SUBST_VARIABLES and TCL_SUBST_BACKSLASHES are
currently supported, and TCL_SUBST_ALL is provided as a
convenience for the common case where all substitutions are desired.
The Tcl_SubstObj function is used to perform substitutions on
strings in the fashion of the subst command. It gets the value
of the string contained in objPtr and scans it, copying
characters and performing the chosen substitutions as it goes to an
output object which is returned as the result of the function. In the
event of an error occurring during the execution of a command or
variable substitution, the function returns NULL and an error message
is left in interp's result.
Three kinds of substitutions are supported. When the
TCL_SUBST_BACKSLASHES bit is set in flags, sequences that
look like backslash substitutions for Tcl commands are replaced by
their corresponding character.
When the TCL_SUBST_VARIABLES bit is set in flags,
sequences that look like variable substitutions for Tcl commands are
replaced by the contents of the named variable.
When the TCL_SUBST_COMMANDS bit is set in flags, sequences
that look like command substitutions for Tcl commands are replaced by
the result of evaluating that script. Where an uncaught
“continue exception”
occurs during the evaluation of a command substitution, an
empty string is substituted for the command. Where an uncaught
“break exception”
occurs during the evaluation of a command substitution, the
result of the whole substitution on objPtr will be truncated at
the point immediately before the start of the command substitution,
and no characters will be added to the result or substitutions
performed after that point.
subst
backslash substitution, command substitution, variable substitution
Copyright © 1995-1997 Roger E. Critchlow Jr.
Copyright © 2001 Donal K. Fellows


{% extends "blog/layout.html" %} {% block content %}
No posts available in this category at this time
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No description
SEQUENCE[BIT] digest(SEQUENCE[BIT] message)
digest: SEQUENCE[BIT] -> message: SEQUENCE[BIT] ensure Result.count = size end
STRING print(SEQUENCE[BIT] digest)
print: STRING -> digest: SEQUENCE[BIT]
size: NATURAL
security: NATURAL


Basic xtal-in-hash demo
Instructions: Modify json string in # part of query in address bar, see it reflect below.
Message: [[message]]


I am a computational scientist with a focus on understanding molecular systems and communicating that knowledge as clearly as possible. Currently, I am a NESAP for Learning Postdoctoral Fellow at NERSC, leveraging deep learning algorithms to aid in the discovery of catalysis materials in collaboration with Zachary Ulissi. Before starting my postdoc, I finished my PhD in Kristin Persson’s Group, where my research focused on the physics of conducting polymers with the goal of enhanced materials design. Looking forward, the vision for my research is to combine machine learning, high performance computing, and domain expertise to tackle problems in the physical sciences.
Outside of science I enjoy being in the ocean and going on road trips in my van.
PhD in AS&T (Applied Physics), 2019
University of California Berkeley
MS in Microbial Engineering, 2012
University of Minnesota Twin Cities
BS in Biology/Chemistry, 2009
University of Minnesota Duluth
Open source python packages for automating molecular workflows
In macromolecules, there are numerous examples where structure dictates function including electronic conductivity of conjugated polymer materials. To elucidate the structure of doped and excited conjugated polymers we developed a multiscale model that captures electronic structure rearrangement and stochastically generates polymer chain conformations.
Machine learning models for predicting the bulk modulus of materials


Invited Speakers
We will have three keynote talks from domain experts on improving access to opportunity in developing nations, through assignments and choice, and in conjunction in law and policy. Our invited keynote speakers are:
- Developing Nations: Sekou L. Remy, IBM Research - Africa
- Assignments and Choice: Ariel Procaccia, Carnegie Mellon University, Department of Computer Science
- Law and Policy: Valerie Thomas, Georgia Institute of Technology, Industrial and Systems Engineering (and Public Policy)
- Moderator: Sera Linardi, University of Pittsburgh, Graduate School of Public and International Affairs and Department of Economics
- Miranda Bogen, Upturn
- Dina Machuve, Nelson Mandela African Institution of Science and Technology
- Valerie Thomas, Georgia Institute of Technology, Industrial and Systems Engineering (and Public Policy)
Keynote Speakers Bios
IBM Research - Africa
Sekou L. Remy is a Research Scientist and Technical Lead at IBM Research - Africa. A member of the healthcare team, he is excited about developing appropriate technologies based on Artificial Intelligence, Machine Learning, Blockchain and data analytics which will transform Africa, and the world. As the lead for the Policy Making with AI, one specific research effort explores the application these technologies to transform the development of intervention policies which will accelerate the eradication of malaria. Remy has a Bachelor�s degree in Computer Science from Morehouse College, and a Doctor of Philosophy (Ph.D.) in Electrical and Computer Engineering from the Georgia Institute of Technology.
Carnegie Mellon University,
Department of Computer Science
Ariel Procaccia is an Associate Professor in the Computer Science Department at Carnegie Mellon University. He works on a broad and dynamic set of problems related to AI, algorithms, economics, and society. His distinctions include a Guggenheim Fellowship (2018), the IJCAI Computers and Thought Award (2015), a Sloan Research Fellowship (2015), an NSF CAREER Award (2014), and the IFAAMAS Victor Lesser Distinguished Dissertation Award (2009). To make his research accessible to the public, he has founded the not-for-profit websites Spliddit.org and RoboVote.org, and has written op-eds for the Washington Post, Wired, and Bloomberg (where he is a regular contributor).
Georgia Institute of Technology,
Industrial and Systems Engineering
Valerie Thomas is the Anderson Interface Professor of Natural Systems in the School of Industrial and Systems Engineering at Georgia Tech, with a joint appointment in the School of Public Policy. Current research projects include energy in sub-Saharan Africa and U.S. bioenergy development. She is Associate Editor for the Journal of Industrial Ecology, and a member of the USDA/DOE Biomass R&D Technical Advisory Committee. She has held positions at Princeton and Carnegie Mellon, and has served as a Congressional Science Fellow. She has a PhD in high energy physics from Cornell and a B.A. in physics from Swarthmore.
Panelist Bios
Upturn
Miranda Bogen is a Senior Policy Analyst at Upturn, where she focuses on the implications of machine learning and artificial intelligence for civil and human rights, and particularly on the intersection of digital technology, automated decisions, and economic opportunity.
University of Pittsburgh,
Economics, Graduate School of Public and International Affairs
Sera Linardi is an Associate Professor of Economics at the Graduate School of Public and International Affairs (GSPIA) at the University of Pittsburgh. She is an experimental economist who focuses on bridging academic research and the day-to-day challenges facing those who provide services to vulnerable populations.
Nelson Mandela African Institution of Science and Technology (NM-AIST),
Dina Machuve is a Lecturer and Researcher at the Nelson Mandela African Institution of Science and Technology (NM-AIST) in Arusha, Tanzania. She holds a PhD in Information and Communication Science and Engineering from NM-AIST in 2016. She co-organizes the Data Science Africa (DSA), an organization that runs an annual data science and machine learning summer school and workshop in Africa.


Public Types | |
| typedef Box | box_type |
Public Member Functions | |
| section () | |
Public Attributes | |
| int | begin_index |
| Box | bounding_box |
| std::size_t | count |
| int | directions [DimensionCount] |
| bool | duplicate |
| int | end_index |
| int | id |
| int | multi_index |
| int | non_duplicate_index |
| std::size_t | range_count |
| int | ring_index |
Section information consists of a bounding box, direction information (if it is increasing or decreasing, per dimension), index information (begin-end, ring, multi) and the number of segments in this section
| Box | box-type | |
| DimensionCount | number of dimensions for this section |
Definition at line 60 of file sectionalize.hpp.
| typedef Box boost::geometry::section< Box, DimensionCount >::box_type |
Definition at line 62 of file sectionalize.hpp.
| boost::geometry::section< Box, DimensionCount >::section | ( | ) |
Definition at line 78 of file sectionalize.hpp.
| int boost::geometry::section< Box, DimensionCount >::id |
Definition at line 64 of file sectionalize.hpp.
| int boost::geometry::section< Box, DimensionCount >::directions[DimensionCount] |
Definition at line 65 of file sectionalize.hpp.
| int boost::geometry::section< Box, DimensionCount >::ring_index |
Definition at line 66 of file sectionalize.hpp.
| int boost::geometry::section< Box, DimensionCount >::multi_index |
Definition at line 67 of file sectionalize.hpp.
| Box boost::geometry::section< Box, DimensionCount >::bounding_box |
Definition at line 68 of file sectionalize.hpp.
| int boost::geometry::section< Box, DimensionCount >::begin_index |
Definition at line 70 of file sectionalize.hpp.
| int boost::geometry::section< Box, DimensionCount >::end_index |
Definition at line 71 of file sectionalize.hpp.
| std::size_t boost::geometry::section< Box, DimensionCount >::count |
Definition at line 72 of file sectionalize.hpp.
| std::size_t boost::geometry::section< Box, DimensionCount >::range_count |
Definition at line 73 of file sectionalize.hpp.
| bool boost::geometry::section< Box, DimensionCount >::duplicate |
Definition at line 74 of file sectionalize.hpp.
| int boost::geometry::section< Box, DimensionCount >::non_duplicate_index |
Definition at line 75 of file sectionalize.hpp.
|
December 1, 2009 |
Copyright © 1995-2009 Barend Gehrels, Geodan, Amsterdam Copyright © 2008-2009 Bruno Lalande, Paris Copyright © 2009 Mateusz Loskot, Cadcorp, London |


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Made with love by Thomas Han
Your request is currently being queried by the databse, but it doesn't mean it will take long. You should be able to see a prediction within one day or two. However, you should wait for a week for more accurate result.
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Even the all-powerful Pointing has no control about the blind texts it is an almost unorthographic life One day however a small line of blind text by the name of Lorem Ipsum decided to leave for the far World of Grammar.


I have encountered the most vibrant of people, those with such life and purity of soul shining through their eyes.
I have also seen horrible tragedy befall these wonderful souls. I have seen the life and beauty slowly drain away from the once vibrant eyes.
Don't think this is a 'drugs are evil, lets be straight edge' sermon, its not, and I don't believe that drugs are evil. Some drugs make me feel impervious to anything life can throw at me, others can relax me to the point that I just don't care. I've personally dealt with both of those. There are many more types, but I don't like to talk about things I have no experience with.
Things like cocaine and methamphetamine are of the type that makes me feel like a god, unstoppable, invincible and overall great, at least for awhile but nothing is free, I payed the price for it. These drugs can consume a person, take over their personality, don't tell me it only happens to the weak, I've witnessed it in what used to be some of the sturdiest people I know. They have the potential to devour the very fiber of one's being!
I've used methamphetamine many, many times and at this point in my life, I regret each time now that I see what it has done to people. If whoever reads this couldn't gather from the above writings, I no longer use this dangerous substance I thought I fell in love with. It causes the speechless to become eloquent, the meek outgoing and confident and the weak become strong while under its influence.
Looking into the eyes of Nicole, someone I met at the beginning of this school year (2003-04 CGUHS, my junior year) I see nothing but blankness, blankness and the anticipation of the few lines of meth her mother prepares for her in the morning in place of breakfast, because the mother is too strung out on heroin to cook. The lack of life in Nicole's eyes has scared me away from methamphetamine forever, although I was addicted and still consider myself an addict, because everyday I get horrible cravings for it.
Nicole's once gorgeous green eyes, the most beautiful eyes I have EVER or most likely will ever encounter again, are lifeless, soulless and gone. Killed along with what made her who she once was.  A dead mind with a barely living body. In the six or so months I have known her, she has slowly become a sickly, frail mindless human being, if you can even call her that, because my definition of human, is the purity of soul that we all share.
All she lives for is the hope that her mother will be generous again in the morning, she has pruned the serotonin receptors in her brain so far back, enormous amounts of serotonin and dopamine are required to generate even the faintest smile. A similar thing has happened in my brain, only not nearly as severe although, I will never be able to be as happy as I used to be.
I pity anyone who suffers such an existence, and her and I know very well that she is suffering. If I progressed to the point of death of the soul, I would rather end my existence than suffer along as a dead husk of a human.
In a way, I have to thank Nicole for helping me to realize, before it was too late, what this chemical can do.
Yours in humanity,
Leighton, methamphetamine addict.
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.


public GuiItem
Created by Shynixn 2018.
java.util.List<java.lang.String> getScripts()
Multiple scripts.
GuiIcon getIcon()
Icon of the gui item.
boolean getHidden()
Should this icon always be hidden?
void setHidden(boolean p)
Should this icon always be hidden?
java.util.List<java.lang.String> getHiddenConditions()
Is this gui item hidden when a player has certain condition.
void setHiddenConditions(java.util.List<java.lang.String> p)
Is this gui item hidden when a player has certain condition.
java.util.List<java.lang.String> getShowConditions()
Is this gui item hidden when a player has certain condition.
void setShowConditions(java.util.List<java.lang.String> p)
Is this gui item hidden when a player has certain condition.
java.util.List<java.lang.String> getBlockedConditions()
Is this gui item not clickable when a player has certain condition.
void setBlockedConditions(java.util.List<java.lang.String> p)
Is this gui item not clickable when a player has certain condition.
java.util.List<java.lang.String> getAllowedConditions()
Is this gui item clickable when a player has certain condition.
void setAllowedConditions(java.util.List<java.lang.String> p)
Is this gui item clickable when a player has certain condition.
java.lang.String getPermission()
Required permission to perform this action.
void setPermission(java.lang.String p)
Required permission to perform this action.
int getPosition()
Returns the position in the inventory.
void setPosition(int p)
Returns the position in the inventory.
boolean getFixed()
Position in the inventory which cannot be scrolled.
void setFixed(boolean p)
Position in the inventory which cannot be scrolled.
Skin getTargetSkin()
Target skin.
void setTargetSkin(Skin p)
Target skin.
java.lang.String getTargetPetName()
Target pet name.
void setTargetPetName(java.lang.String p)
Target pet name.
java.util.List<com.github.shynixn.petblocks.api.persistence.entity.AIBase> getAddAIs()
Ai which should be added on click.
java.util.List<com.github.shynixn.petblocks.api.persistence.entity.AIBase> getRemoveAIs()
Ai which should be removed on click.


Package org.drip.sample.ckls
Analysis of CKLS Process Variants
- Author:
- Lakshmi Krishnamurthy
-
Class Summary Class Description BrownianPopulationCentralMeasures BrownianPopulationCentralMeasures illustrates the Aging of Population Central Measures, both Temporal and Steady-State, of an Evolving R1 Brownian Process.CIRFutureValueDistribution CIRFutureValueDistribution demonstrates the Computation of the Future Value Distribution from an Evolving R1 Cox-Ingersoll-Ross Process.CIRPopulationCentralMeasures CIRPopulationCentralMeasures illustrates the Aging of Population Central Measures, both Temporal and Steady-State, of an Evolving R1 Cox-Ingersoll-Ross Process.ExponentialAffineZeroPricer ExponentialAffineZeroPricer illustrates the Pricing of a Zero Coupon Bond using the R1 Cox-Ingersoll-Ross Process.LangevinEvolution LangevinEvolver implements the Noisy Elastic Relaxation Process in a Friction-Thermal Background.OrnsteinUhlenbeckPopulationCentralMeasures OrnsteinUhlenbeckPopulationCentralMeasures illustrates the Aging of Population Central Measures, both Temporal and Steady-State, of an Evolving R1 Ornstein-Uhlenbeck Process.VasicekPopulationCentralMeasures VasicekPopulationCentralMeasures illustrates the Aging of Population Central Measures, both Temporal and Steady-State, of an Evolving R1 Vasiceck Process.


Guadarrama leads New Hampshire over Holy Cross 87-83
by EndPlayDURHAM, N.H. (AP) - Nick Guadarrama had a career-high 28 points plus 13 rebounds as New Hampshire edged past Holy Cross 87-83 on Saturday.
Guadarrama hit 11 of 14 shots and the Wildcats made 11 of 28 3-pointers.
Josh Hopkins had 15 points for New Hampshire (2-0). Mark Carbone added 13 points and Sean Sutherlin had 11 points, 11 rebounds and six assists.
Ryan Wade had 24 points for the Crusaders (0-2). Drew Lowder added 14 points and Joe Pridgen had 13 points, eight rebounds and five assists.
New Hampshire plays St. John's on the road on Tuesday. Holy Cross faces Fairfield at home on Tuesday.
___
For more AP college basketball coverage: https://apnews.com/Collegebasketball and http://twitter.com/AP_Top25
___
This was generated by Automated Insights, http://www.automatedinsights.com/ap, using data from STATS LLC, https://www.stats.com


We fall in love by chance, not by choice. The quote "Have a nice life, I'm done trying to be in it" tells me that we should learn to let go of the things we onced loved because sometimes holding on is harder than letting go, We do not keep on watering a dead plant, do we?
As a person of recent heartbreak I have realized that we could not force people to stay, even if you have loved them to the point of giving up your pride just to chase them. I guess the only thing left was to let go and know the limit of what you can do, you've tried to make people stay, in a way at least you know you've tried, let' s just say that we hope for the best, true love is giving happinness to the one you love even when that happinness no longer includes me


--- title: cv_tools keywords: fastai sidebar: home_sidebar summary: "API details." description: "API details." nb_path: "00_core.ipynb" ---
def hello_world(): """ greetings the folks """ print("hello world!")
!nbdev_build_lib
Converted 00_core.ipynb. Converted index.ipynb.


Admit one
No 06900666
sector: web development
Year
2020
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Contract
Skill
Front-End
Spring Studios
Project Outline: Joined the Dev Team to refactor, improve mobile support, and fix UI/UX in component features based interpreted from the UAL Design System/Atomic Design System. Worked with Digital Design Lead and Back End Developers for sign off and platform integration
Skills Applied: Built out Web Components with HTML5, BEM SASS inside a Node.js & Gulp.js workflow. Created functional, accessible and reusable UI with HTML5 & CSS. Emphasis on using Vanilla JS in place of jQuery methods. Used peer review, paired programming and mentoring developers in the use of Git where necessary. Site accessibility tools like Axe and Site Improve were also used to test against site compliance and possible accessibility issues
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Spring Studios
Project Outline: Joined the Dev Team to refactor, improve mobile support, and fix UI/UX in component features based interpreted from the UAL Design System/Atomic Design System. Worked with Digital Design Lead and Back End Developers for sign off and platform integration
Skills Applied: Built out Web Components with HTML5, BEM SASS inside a Node.js & Gulp.js workflow. Created functional, accessible and reusable UI with HTML5 & CSS. Emphasis on using Vanilla JS in place of jQuery methods. Used peer review, paired programming and mentoring developers in the use of Git where necessary. Site accessibility tools like Axe and Site Improve were also used to test against site compliance and possible accessibility issues
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Project Outline: Joined the Dev Team to refactor, improve mobile support, and fix UI/UX in component features based interpreted from the UAL Design System/Atomic Design System. Worked with Digital Design Lead and Back End Developers for sign off and platform integration
Skills Applied: Built out Web Components with HTML5, BEM SASS inside a Node.js & Gulp.js workflow. Created functional, accessible and reusable UI with HTML5 & CSS. Emphasis on using Vanilla JS in place of jQuery methods. Used peer review, paired programming and mentoring developers in the use of Git where necessary. Site accessibility tools like Axe and Site Improve were also used to test against site compliance and possible accessibility issues
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Project Outline: Joined the Dev Team to refactor, improve mobile support, and fix UI/UX in component features based interpreted from the UAL Design System/Atomic Design System. Worked with Digital Design Lead and Back End Developers for sign off and platform integration
Skills Applied: Built out Web Components with HTML5, BEM SASS inside a Node.js & Gulp.js workflow. Created functional, accessible and reusable UI with HTML5 & CSS. Emphasis on using Vanilla JS in place of jQuery methods. Used peer review, paired programming and mentoring developers in the use of Git where necessary. Site accessibility tools like Axe and Site Improve were also used to test against site compliance and possible accessibility issues
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Admit one
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sector: web development
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Project Outline: Joined the Dev Team to refactor, improve mobile support, and fix UI/UX in component features based interpreted from the UAL Design System/Atomic Design System. Worked with Digital Design Lead and Back End Developers for sign off and platform integration
Skills Applied: Built out Web Components with HTML5, BEM SASS inside a Node.js & Gulp.js workflow. Created functional, accessible and reusable UI with HTML5 & CSS. Emphasis on using Vanilla JS in place of jQuery methods. Used peer review, paired programming and mentoring developers in the use of Git where necessary. Site accessibility tools like Axe and Site Improve were also used to test against site compliance and possible accessibility issues
London liverpool street
Admit one
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sector: web development
Year
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Spring Studios
Project Outline: Joined the Dev Team to refactor, improve mobile support, and fix UI/UX in component features based interpreted from the UAL Design System/Atomic Design System. Worked with Digital Design Lead and Back End Developers for sign off and platform integration
Skills Applied: Built out Web Components with HTML5, BEM SASS inside a Node.js & Gulp.js workflow. Created functional, accessible and reusable UI with HTML5 & CSS. Emphasis on using Vanilla JS in place of jQuery methods. Used peer review, paired programming and mentoring developers in the use of Git where necessary. Site accessibility tools like Axe and Site Improve were also used to test against site compliance and possible accessibility issues
London liverpool street


Unlimited Games. How should Red play 54?
pips Red=152 White=147
(CorrectAnswer= 0/0, ErrorScore= 0)
At a time when Red has no anchor, he should be looking to strengthen his home board against a forthcoming attack. Over the board 13/9, 6/1* was played on the theory of attacking a lone checker but that is the wrong game plan.
Correct is 9/4, 8/4 securing a long-term asset and strengthening the home board. Hitting is a blunder and 13/9, 13/8 is not much better. Take that asset!
Correct is 9/4, 8/4 securing a long-term asset and strengthening the home board. Hitting is a blunder and 13/9, 13/8 is not much better. Take that asset!
1. Cubeful 2-ply 9/4 8/4 Eq.: -0.065 0.472 0.149 0.004 - 0.528 0.120 0.005 2. Cubeful 2-ply 13/9 13/8 Eq.: -0.107 (-0.042) 0.467 0.136 0.005 - 0.533 0.133 0.004 3. Cubeful 2-ply 13/9 6/1* Eq.: -0.121 (-0.056) 0.457 0.141 0.004 - 0.543 0.126 0.005 4. Cubeful 2-ply 21/16 13/9 Eq.: -0.150 (-0.085) 0.459 0.125 0.004 - 0.541 0.148 0.005 5. Cubeful 2-ply 24/20 6/1* Eq.: -0.156 (-0.091) 0.453 0.129 0.004 - 0.547 0.134 0.006


[gecode-users] DivBnd propagator
Jan Kelbel
kelbelj at fel.cvut.cz
Tue Sep 15 13:18:16 CEST 2009
Hello everyone,
I was studying the DivBnd propagator, and in my opinion, there could be
performed some propagation more tight.
It is in method
DivBnd<View>::propagate(Space& home, const ModEventDelta&).
In section prop_xpx: starting at line 242 of divmod.hpp file (Gecode
3.1.0 and also trunk)
at line 246:
GECODE_ME_CHECK(x0.gq(home, m<double>(x1.max(),x2.min()-1)));
Is it possible to rewrite this propagation to
GECODE_ME_CHECK(x0.gq(home, m<double>(x1.max(),x2.min()))); ?
I am not sure I did not overlooked something.
A minor remark: in file divmod.hpp at line 173 should be probably
different comment.
Cheers, Jan
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You can use a spreadsheet application such as Microsoft Excel or Google Drive to create a list of comma separated users to import multiple users at once.
Click here to download the Microsoft Excel template.
Email1,FirstName,LastName,Password,GroupName1|GroupName2|...|GroupNameN,SecurityClearanceId,NfcKey,GoKey
Email2,FirstName,LastName,Password,GroupName1|GroupName2|...|GroupNameN,SecurityClearanceId,NfcKey,
Email3,FirstName,LastName,Password,GroupName1|GroupName2|...|GroupNameN,SecurityClearanceId,,GoKey
Email4,FirstName,LastName,Password,GroupName1|GroupName2|...|GroupNameN,SecurityClearanceId,,
This utility helps you import users to your account using comma separated values (CSV).
Use the form to add new users with optional NFC or GO driver keys. You may also use the text box to paste in users from another source such as Excel, Numbers or Google Drive.
| Value | Example | Notes |
|---|---|---|
|<EMAIL_ADDRESS>| Can be email or user name. Spaces are not allowed. | |
| First name | John | Spaces are not allowed. |
| Last name | Smith | |
| Password | Minimum of 6 characters. | |
| Groups | Drivers|West|Garmin | Names of groups separated by the | character. |
| Security clearance ID | b28A7 |
Found in the URL when viewing a security clearance in MyGeotab. Example: my.geotab.com/DATABASE/#clearance,id:b28A7 |
| NFC key number | T1234S | Optional. Found on the NFC key fob. |
| GO key number | 12345678 | Optional. Found in the "Read Key Info" area of "Keys & RF" in your MyGeotab account. |