The development of Vector Visualizer is separated into three parts: Proposal, Design, and Development & Testing.
Proposal
1. The Problem
Vector math problems involving basic linear algebra. Vectors, matrices, and the possibility for quaternions as well.
2. Purpose
It can be used to educate people of some concepts behind linear algebra. It can be used to investigate how many graphics programs use vector math to make things move on screen. Since it is also a full vector math library, it can be used for making games and other projects that involve vector math.
3. Audience
Adults and students alike. (And some really intelligent children too!)
4. Tools
HTML/CSS/Javascript.
5. Deliverables
Open source (Javascript) and internal documentation to go along with it.
6. Timeline
| Date | Deliverable | Details |
|---|---|---|
| May 21 | Project Proposal | Initial plan for the project |
| May 22 | Project Design | Code structuring and interface design |
| May 29 | Alpha | Should have all basic functions finished. May not have a user interface implemented yet. |
| June 5 | Beta | Should have a working user interface. |
| June 9 | Final | Should be completely finished. May add in some extra features like audio. |
| June 12 | Documentation complete | Documentation for the vector-math library should be complete. |
| June 15/16 | Presentations | The website should be polished and ready for presenting. |
Design
Environment
The environment will have a basic grid floor, have a mesh loaded in the center, and an easy-to-use interface for interacting with the mesh.
Gameplay
Although it is not a game, it still has first-person movement for flying around. This will allow users to see their manipulated mesh from any angle.
Art
The look and feel will be minimalistic. The design of the mesh itself will be, by default, simple as well. Of course, the mesh will be modifiable through the interface and .obj files will also be able to be loaded.
Sound and Music
There may be some ambient music playing in the background. It will have its own audio controller.
User Interface, Controls
The controls will be simple WASD, shift, and space movement. The user interface will be simple and easy to use HTML elements.
Development & Testing
Development
| Date | Notes |
|---|---|
| May 21 | Project Proposal |
| May 22 | Project Design |
| May 25 | Finished the basic vector-math library |
| May 27 | WebGL completely set up |
| May 28 |
|
| May 29 |
|
| June 1 |
|
| June 2 | Started on the GUI |
| June 3 |
|
| June 4 |
|
| June 5 |
|
| June 8 |
|
| June 9 |
|
Testing
| Date | Testing Type | What was tested | Results | Changes to be made |
|---|---|---|---|---|
| May 29 | Alpha | Grid rendering. Mesh rendering. Mesh creation through the console. Movement. |
Grid and mesh rendering success. Creation of a mesh through the console is successful, but requires persistent rendering. There is limited, but functional "movement" through the console. |
Addition of a way to peristently render meshes created on-the-fly. Addition of keyboard and mouse input for movement. |
| June 1 | Alpha | Mesh creation though the console. Movement. |
Perfected mesh creation through the console. Very smooth movement, but keys need to be pressed a couple times before they actually work. |
Input lag will be dealt with. Should have obj file support. |
| June 4 | Alpha | Mesh creation with GUI. Transformations of the mesh with the GUI. |
Both were a complete success, except for the scaling which seems to not work. Every other transformation works. | Scaling needs to be fixed. |
| June 5 | Beta | Everything. | Everything works as expected. | None |
| June 8 | Final | obj file support | Works flawlessly | None |


--- layout: default --- {% include develop.html %} {% include blurr_ad.html %} {% include jazz_ad.html %}


What can La Casa De Papel teach you about Cybersecurity
I was watching the TV series, La Casa De Papel (Money Heist) on Netflix, a few weeks ago. I realized that the story of the gang can reveal some best practices we should use while dealing with the security of the products we build.
Beware, the text contains spoilers. If you haven’t seen the show till the end and you are planning to, please visit the article on a later day. Or proceed with your own responsibility :)
Threat modeling can protect you against unexpected events
First of all, what is threat modeling? Threat modeling, in layman terms, is an analytical process. In there, the engineers who build a product coordinate with the security team. They collaborate towards the security architecture of the product.
More specifically, the model, how someone can attack the product, and what is worth protecting (assets). They also model what they can be loose about. Being loose, not because they don’t care. But because protecting it can be more costly than the asset itself.
Threat modeling can get you a long way and protect you from events, against the odds. What is threat modeling in our “Money Heist” case? It is Professor’s (aka Sergio Marquina’s) plan against all potential routes the plan will take. In having alternatives, even for the edgiest scenarios. The assets are clearly, the stolen money or his comrades in the heist.
A single point of failure can cause a chain of bad reactions
Threat modeling might help you recover from many security problems that will arise. You can recover from a cyber-attack but things will never be the same. A crack in the security wall can have a domino effect.
Imagine a lake dam, with a few cracks around, going unnoticed and being exploited by nature. You can always fix it, but it might take time for the lake visitors to establish trust again.
Like the Professor, where he lost respect after the gold (temporarily) vanished. Even though his great problem-solving skills, helped resolve the issue, things got hairy very fast.
Luck is not a strategy in the long term.
In the show, there are some provocative cases of luck. For example:
- Raquel renegading the police organization
- Police and army failing plans to invade the bank
- Failing to shoot to the target many times. From troops, that are supposed to be professional shooters.
Snitches and below-expectations defense might give you some extra time. to move with your plan or escape. But you have to take advantage of it. To either move with your plan or escape. Always think your luck might go away, any time soon.
Never drop the weapons
This is not specific to cybersecurity but to life in general.
Pain is temporary, quitting lasts forever. Accept your mistakes, remediate them and learn from them. As long as your heart is pumping blood, you are not dead yet.
- Architectural mistake? Patch it immediately and re-architect the product (yeah, I know…delivery and business constraints)
- Below expectations monitoring? Fix it now. Add more people and see how they can be more effective
- Serious defects in the code? Train your team insecure practices and code review focused on security. Buy a license to a package like Snyk or Nessus. Plan some percentage of your capacity to patch the most severe ones
Even in the worst of moments, keep your composure
Imagine a ransomware attack. It is there, it is happening. Screaming over people’s heads will not solve the problem.
When you cannot win against an attack, you still have to do your best, to at least not lose. For sure, don’t panic. As the Stoics say, you have to be your best self on the things you control. And let the rest, just be. Accept them.
You cannot control the next stage of an attack. But you can do your best to prevent it, to not repeat the same mistakes, and to close the open doors that exist now.
Don’t lose your temper and clear mind,. Like Tamayo lost it, when he realized the gang was blackmailing him for various reasons.
He got angry, he got blackmailed, he was even ridiculed in the eyes of the European Central Bank. And what was the result? He lost, hands down, even though he lied to the media about winning.
Conclusion
Top-notch cybersecurity is not a free lunch. And not everyone can do it, as the caveats are so many. But with some discipline, retrospection, and humility, you can do wonders. Also, the show is great, if you haven’t seen it, please do.


Now that you have the encoder and decoder blocks ready, go ahead and build your FCN architecture!
There are three steps:
Congratulations on reaching the final project of the Robotics Nanodegree!
Previously, you worked on the Semantic Segmentation lab where you built a deep learning network that locates a particular human target within an image. For this project, you will utilize what you implemented and learned from that lab and extend it to train a deep learning model that will allow a simulated quadcopter to follow around the person that it detects!
Most of the code below is similar to the lab with some minor modifications. You can start with your existing solution, and modify and improve upon it to train the best possible model for this task.
You can click on any of the following to quickly jump to that part of this notebook:
We have provided you with a starting dataset for this project. Download instructions can be found in the README for this project's repo. Alternatively, you can collect additional data of your own to improve your model. Check out the "Collecting Data" section in the Project Lesson in the Classroom for more details!
import os
import glob
import sys
import tensorflow as tf
from scipy import misc
import numpy as np
from tensorflow.contrib.keras.python import keras
from tensorflow.contrib.keras.python.keras import layers, models
from tensorflow import image
from utils import scoring_utils
from utils.separable_conv2d import SeparableConv2DKeras, BilinearUpSampling2D
from utils import data_iterator
from utils import plotting_tools
from utils import model_tools
In the Classroom, we discussed the different layers that constitute a fully convolutional network (FCN). The following code will introduce you to the functions that you need to build your semantic segmentation model.
The Encoder for your FCN will essentially require separable convolution layers, due to their advantages as explained in the classroom. The 1x1 convolution layer in the FCN, however, is a regular convolution. Implementations for both are provided below for your use. Each includes batch normalization with the ReLU activation function applied to the layers.
def separable_conv2d_batchnorm(input_layer, filters, strides=1):
output_layer = SeparableConv2DKeras(filters=filters,kernel_size=3, strides=strides,
padding='same', activation='relu')(input_layer)
output_layer = layers.BatchNormalization()(output_layer)
return output_layer
def conv2d_batchnorm(input_layer, filters, kernel_size=3, strides=1):
output_layer = layers.Conv2D(filters=filters, kernel_size=kernel_size, strides=strides,
padding='same', activation='relu')(input_layer)
output_layer = layers.BatchNormalization()(output_layer)
return output_layer
The following helper function implements the bilinear upsampling layer. Upsampling by a factor of 2 is generally recommended, but you can try out different factors as well. Upsampling is used in the decoder block of the FCN.
def bilinear_upsample(input_layer):
output_layer = BilinearUpSampling2D((2,2))(input_layer)
return output_layer
In the following cells, you will build an FCN to train a model to detect and locate the hero target within an image. The steps are:
encoder_block
decoder_block
Create an encoder block that includes a separable convolution layer using the separable_conv2d_batchnorm()
function. The filters
parameter defines the size or depth of the output layer. For example, 32 or 64.
def encoder_block(input_layer, filters, strides):
# TODO Create a separable convolution layer using the separable_conv2d_batchnorm() function.
output_layer = separable_conv2d_batchnorm(input_layer, filters, strides)
return output_layer
The decoder block is comprised of three parts:
def decoder_block(small_ip_layer, large_ip_layer, filters):
# TODO Upsample the small input layer using the bilinear_upsample() function.
upsample = bilinear_upsample(small_ip_layer)
# TODO Concatenate the upsampled and large input layers using layers.concatenate
concat_layer = layers.concatenate([upsample, large_ip_layer])
# TODO Add some number of separable convolution layers
temp_layer = separable_conv2d_batchnorm(concat_layer, filters)
output_layer = separable_conv2d_batchnorm(temp_layer, filters)
return output_layer
def fcn_model(inputs, num_classes):
# TODO Add Encoder Blocks.
# Remember that with each encoder layer, the depth of your model (the number of filters) increases.
layer1 = encoder_block(inputs, 64, 2)
layer2 = encoder_block(layer1, 128, 2)
# TODO Add 1x1 Convolution layer using conv2d_batchnorm().
layer3 = conv2d_batchnorm(layer2, 256, kernel_size=1, strides=1)
# TODO: Add the same number of Decoder Blocks as the number of Encoder Blocks
layer4 = decoder_block(layer3, layer1, 128)
layer5 = decoder_block(layer4, inputs, 64)
# The function returns the output layer of your model. "x" is the final layer obtained from the last decoder_block()
return layers.Conv2D(num_classes, 1, activation='softmax', padding='same')(layer5)
The following cells will use the FCN you created and define an ouput layer based on the size of the processed image and the number of classes recognized. You will define the hyperparameters to compile and train your model.
Please Note: For this project, the helper code in data_iterator.py
will resize the copter images to 160x160x3 to speed up training.
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
image_hw = 160
image_shape = (image_hw, image_hw, 3)
inputs = layers.Input(image_shape)
num_classes = 3
# Call fcn_model()
output_layer = fcn_model(inputs, num_classes)
Define and tune your hyperparameters.
learning_rate = 0.001
batch_size = 64
num_epochs = 50
steps_per_epoch = 100
validation_steps = 50
workers = 120
#steps_per_epoch_check = 4132/batch_size
#print(steps_per_epoch_check)
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
# Define the Keras model and compile it for training
model = models.Model(inputs=inputs, outputs=output_layer)
model.compile(optimizer=keras.optimizers.Adam(learning_rate), loss='categorical_crossentropy')
# Data iterators for loading the training and validation data
train_iter = data_iterator.BatchIteratorSimple(batch_size=batch_size,
data_folder=os.path.join('..', 'data', 'train'),
image_shape=image_shape,
shift_aug=True)
val_iter = data_iterator.BatchIteratorSimple(batch_size=batch_size,
data_folder=os.path.join('..', 'data', 'validation'),
image_shape=image_shape)
logger_cb = plotting_tools.LoggerPlotter()
callbacks = [logger_cb]
model.fit_generator(train_iter,
steps_per_epoch = steps_per_epoch, # the number of batches per epoch,
epochs = num_epochs, # the number of epochs to train for,
validation_data = val_iter, # validation iterator
validation_steps = validation_steps, # the number of batches to validate on
callbacks=callbacks,
workers = workers)
# Save your trained model weights
weight_file_name = 'model_weights'
model_tools.save_network(model, weight_file_name)
Now that you have your model trained and saved, you can make predictions on your validation dataset. These predictions can be compared to the mask images, which are the ground truth labels, to evaluate how well your model is doing under different conditions.
There are three different predictions available from the helper code provided:
# If you need to load a model which you previously trained you can uncomment the codeline that calls the function below.
# weight_file_name = 'model_weights'
# restored_model = model_tools.load_network(weight_file_name)
The following cell will write predictions to files and return paths to the appropriate directories.
The run_num
parameter is used to define or group all the data for a particular model run. You can change it for different runs. For example, 'run_1', 'run_2' etc.
run_num = 'run_1'
val_with_targ, pred_with_targ = model_tools.write_predictions_grade_set(model,
run_num,'patrol_with_targ', 'sample_evaluation_data')
val_no_targ, pred_no_targ = model_tools.write_predictions_grade_set(model,
run_num,'patrol_non_targ', 'sample_evaluation_data')
val_following, pred_following = model_tools.write_predictions_grade_set(model,
run_num,'following_images', 'sample_evaluation_data')
Now lets look at your predictions, and compare them to the ground truth labels and original images. Run each of the following cells to visualize some sample images from the predictions in the validation set.
# images while following the target
im_files = plotting_tools.get_im_file_sample('sample_evaluation_data','following_images', run_num)
for i in range(3):
im_tuple = plotting_tools.load_images(im_files[i])
plotting_tools.show_images(im_tuple)
# images while at patrol without target
im_files = plotting_tools.get_im_file_sample('sample_evaluation_data','patrol_non_targ', run_num)
for i in range(3):
im_tuple = plotting_tools.load_images(im_files[i])
plotting_tools.show_images(im_tuple)
# images while at patrol with target
im_files = plotting_tools.get_im_file_sample('sample_evaluation_data','patrol_with_targ', run_num)
for i in range(3):
im_tuple = plotting_tools.load_images(im_files[i])
plotting_tools.show_images(im_tuple)
Evaluate your model! The following cells include several different scores to help you evaluate your model under the different conditions discussed during the Prediction step.
# Scores for while the quad is following behind the target.
true_pos1, false_pos1, false_neg1, iou1 = scoring_utils.score_run_iou(val_following, pred_following)
# Scores for images while the quad is on patrol and the target is not visable
true_pos2, false_pos2, false_neg2, iou2 = scoring_utils.score_run_iou(val_no_targ, pred_no_targ)
# This score measures how well the neural network can detect the target from far away
true_pos3, false_pos3, false_neg3, iou3 = scoring_utils.score_run_iou(val_with_targ, pred_with_targ)
# Sum all the true positives, etc from the three datasets to get a weight for the score
true_pos = true_pos1 + true_pos2 + true_pos3
false_pos = false_pos1 + false_pos2 + false_pos3
false_neg = false_neg1 + false_neg2 + false_neg3
weight = true_pos/(true_pos+false_neg+false_pos)
print(weight)
# The IoU for the dataset that never includes the hero is excluded from grading
final_IoU = (iou1 + iou3)/2
print(final_IoU)
# And the final grade score is
final_score = final_IoU * weight
print(final_score)


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Match Play. Red trails 0-3 to 11. Should Red double? If doubled, should White take?
pips Red=135 White=124
(CorrectAnswer= 0/0, ErrorScore= 0)
This is a prime vs. prime position and the old adage goes that all PvP positions are doubles and takes. This position is not an exception to that rule.
A very clear double and an equally clear take, despite the score. Dropping would be a blunder. White’s checker on his ace-point is a weakness but not enough to change the decision.
It is remarkable how often the old adage holds up under scrutiny.
A very clear double and an equally clear take, despite the score. Dropping would be a blunder. White’s checker on his ace-point is a weakness but not enough to change the decision.
It is remarkable how often the old adage holds up under scrutiny.
Cube analysis 2-ply cubeless equity +0.508 (Money: +0.511) 0.707 0.163 0.006 - 0.293 0.071 0.002 Cubeful equities: 1. Double, take +0.918 2. Double, pass +1.000 (+0.082) 3. No double +0.848 (-0.069) Proper cube action: Double, take


{{#markdown}}
# Bootstrapping Angular-Server
To enjoy the benefits of Angular on the server side, the first thing we have to do
is bootstrap our application.
That is no different from bootstrapping an Angular application on the client side, though
the only exception is that we cannot use the `ng-app` directive to bootstrap our application
automatically. So we will need use the `angular.bootstrap` function to manually bootstrap
our application. Anywhere in your server code, just call `angular.bootstrap` but without specifying
an element to bootstrap with (because we are on the server of course).
For example:
// server/startup.js
angular.bootstrap(['todoMVC']);
Once the application is bootstrapped the application runs the same as it would in the client side.
Meaning you would first have the `config` phase of the application bootstrap and then the `run` phase.
You can use these phases for server configuration and startup logic, but with the advantage of running inside
Angular's context giving you access to dependency injection.
{{/markdown}}


Welcome, I am Gaurav Rawal.
A Senior Software Engineer with over five years of experience in
Full-Stack development and leading product and module cycle from conception to completion in
building both large and small scale enterprise applications including legacy and greenfield
projects.
I'm a software developer based in New Delhi, India. I developed high performance full-stack application using React, Nodejs, MongoDB and AWS.
Javascript, ES6, TypeScript, React, Redux, CSS, SASS, HTML, NodeJS, Express, MongoDB, SQL, Mongoose, Redis, Elasticsearch, FluentD, Kibana, Ngnix, Haproxy, JWT, JSON, REST, gRPC, SOA, Microservices, Cypress, Jest, GraphQL, Socket.io, Swagger, AWS, AWS Lambda, AWS API Gateway, Amazon connect, Lex, S3, NLP, Google Dialogflow, Chatbots, IVR, PWA, Jenkins, Docker, Kubernetes, CI/CD, Git, Webpack, Babel, ESBuild, NPM, ESlint/Prettier, Github, Agile and Scrum Methodology, A/B Testing, TDD, Postman, Software Development Life Cycle, Jira, Trello, Bitbucket, Confluence.
Get Started!I belive in working smart and be creative.
Meeting all the deadlines and delivering world class products.
I like to keep up with new and emerging Technologies.
Whatever I do, I pour all of my heart into it.
Ready to start your next project with me? That's great! Give me a call or send me an email and I will get back to you as soon as possible!
+91-8800929663


Options that control the I/O level transport configuration.
More...
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static readonly int | DEFAULT_SEND_BUFFER_SIZE = 64 * 1024 |
| |
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static readonly int | DEFAULT_RECEIVE_BUFFER_SIZE = DEFAULT_SEND_BUFFER_SIZE |
| |
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static readonly bool | DEFAULT_TCP_NO_DELAY = true |
| |
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static readonly bool | DEFAULT_TCP_KEEP_ALIVE = false |
| |
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static readonly uint | DEFAULT_SO_LINGER = uint.MinValue |
| |
|
static readonly uint | DEFAULT_SO_TIMEOUT = 0 |
| |
|
static readonly int | DEFAULT_TCP_PORT = 5672 |
| |
|
static readonly int | DEFAULT_LOCAL_PORT = 0 |
| |
|
static readonly int | DEFAULT_WEBSOCKET_MAX_FRAME_SIZE = 65535 |
| |
|
static readonly bool | DEFAULT_TRACE_BYTES = false |
| |
|
| int | DefaultTcpPort = DEFAULT_TCP_PORT [get, set] |
| | Configures the default TCP port that all client connections should use if none is provided in the connect call. More...
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| |
| string | LocalAddress [get, set] |
| | Assigned local address that the client should bind to when creating a connection to the remote. The user is responsible for ensuring this local address is free and can be bound to otherwise an error will be thrown on connect. More...
|
| |
| int | LocalPort = DEFAULT_LOCAL_PORT [get, set] |
| | Assigned local port that the connection should bind to when attempting to connect to the remote. The user is responsible for ensuring this local port is free otherwise an error will be thrown on connect. More...
|
| |
| bool | TraceBytes = DEFAULT_TRACE_BYTES [get, set] |
| | Configures whether the IO layer should write the incoming and outgoing bytes to the logging framework. By default this option is configured to not trace the bytes as this is a high impact operation and will result in a large amount of additional logging noise. More...
|
| |
| bool | TcpNoDelay = DEFAULT_TCP_NO_DELAY [get, set] |
| | Configures whether the TCP_NO_DELAY options is set on the created TCP connection (defaults to true). More...
|
| |
| int | SendBufferSize = DEFAULT_SEND_BUFFER_SIZE [get, set] |
| | Configures the send buffer size for the underlying transport. More...
|
| |
| int | ReceiveBufferSize = DEFAULT_RECEIVE_BUFFER_SIZE [get, set] |
| | Configures the receive buffer size for the underlying transport. More...
|
| |
| uint | SoLinger = DEFAULT_SO_LINGER [get, set] |
| | Configures the linger value applied to the underlying transport which by default is disabled. More...
|
| |
| uint | SendTimeout = DEFAULT_SO_TIMEOUT [get, set] |
| | Configures the transport level send timeout value which by default is set to infinite wait. More...
|
| |
| uint | ReceiveTimeout = DEFAULT_SO_TIMEOUT [get, set] |
| | Configures the transport level receive timeout value which by default is set to infinite wait. More...
|
| |
Options that control the I/O level transport configuration.
◆ TransportOptions() [1/2]
| Apache.Qpid.Proton.Client.TransportOptions.TransportOptions |
( |
| ) |
|
|
inline |
Creates a default transport options instance.
◆ TransportOptions() [2/2]
| Apache.Qpid.Proton.Client.TransportOptions.TransportOptions |
( |
TransportOptions |
other | ) |
|
|
inline |
Create a transport options instance that copies the configuration from the given instance.
- Parameters
-
| other | The target options instance to copy |
◆ Clone()
| object Apache.Qpid.Proton.Client.TransportOptions.Clone |
( |
| ) |
|
|
inline |
Clone this options instance, changes to the cloned options are not reflected in this options instance.
- Returns
- A deep copy of this options instance.
◆ DefaultTcpPort
| int Apache.Qpid.Proton.Client.TransportOptions.DefaultTcpPort = DEFAULT_TCP_PORT |
|
getset |
Configures the default TCP port that all client connections should use if none is provided in the connect call.
◆ LocalAddress
| string Apache.Qpid.Proton.Client.TransportOptions.LocalAddress |
|
getset |
Assigned local address that the client should bind to when creating a connection to the remote. The user is responsible for ensuring this local address is free and can be bound to otherwise an error will be thrown on connect.
◆ LocalPort
| int Apache.Qpid.Proton.Client.TransportOptions.LocalPort = DEFAULT_LOCAL_PORT |
|
getset |
Assigned local port that the connection should bind to when attempting to connect to the remote. The user is responsible for ensuring this local port is free otherwise an error will be thrown on connect.
◆ ReceiveBufferSize
| int Apache.Qpid.Proton.Client.TransportOptions.ReceiveBufferSize = DEFAULT_RECEIVE_BUFFER_SIZE |
|
getset |
Configures the receive buffer size for the underlying transport.
◆ ReceiveTimeout
| uint Apache.Qpid.Proton.Client.TransportOptions.ReceiveTimeout = DEFAULT_SO_TIMEOUT |
|
getset |
Configures the transport level receive timeout value which by default is set to infinite wait.
◆ SendBufferSize
| int Apache.Qpid.Proton.Client.TransportOptions.SendBufferSize = DEFAULT_SEND_BUFFER_SIZE |
|
getset |
Configures the send buffer size for the underlying transport.
◆ SendTimeout
| uint Apache.Qpid.Proton.Client.TransportOptions.SendTimeout = DEFAULT_SO_TIMEOUT |
|
getset |
Configures the transport level send timeout value which by default is set to infinite wait.
◆ SoLinger
| uint Apache.Qpid.Proton.Client.TransportOptions.SoLinger = DEFAULT_SO_LINGER |
|
getset |
Configures the linger value applied to the underlying transport which by default is disabled.
◆ TcpNoDelay
| bool Apache.Qpid.Proton.Client.TransportOptions.TcpNoDelay = DEFAULT_TCP_NO_DELAY |
|
getset |
Configures whether the TCP_NO_DELAY options is set on the created TCP connection (defaults to true).
◆ TraceBytes
| bool Apache.Qpid.Proton.Client.TransportOptions.TraceBytes = DEFAULT_TRACE_BYTES |
|
getset |
Configures whether the IO layer should write the incoming and outgoing bytes to the logging framework. By default this option is configured to not trace the bytes as this is a high impact operation and will result in a large amount of additional logging noise.
The documentation for this class was generated from the following file:
- src/Proton.Client/Client/TransportOptions.cs


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Accessibility
The Distance Formula
E202.6.3
E202.6.3 Alternative Means. Where conformance to one or more requirements in the Revised 508 Standards imposes an undue burden or a fundamental alteration in the nature of the ICT, the agency shall provide individuals with disabilities access to and use of information and data by an alternative means that meets identified needs.
This is what LaTeX does for us... with the notable advantage over other text-based solutions in that it provides real-world, professional skill sets to blind and sighted alike.
Example: ASCII MaTH
If you write the following in ascii math....
The area of a triangle with base `b` and height `h` is `1/2 bh`. The area of a circle with radius `r` is `pi r^2`
...it outputs this
The area of a triangle with base `b` and height `h` is `1/2 bh`. The area of a circle with radius `r` is `pi r^2`
Getting a square root down is a little harder -- but not by much
If you write the following in ascii math....
x=(-b +- sqrt(b^2 – 4ac))/(2a)
...you output this....
x=(-b +- sqrt(b^2 – 4ac))/(2a)
Adding quotes
But if you write it like this...
Square root is like this: `sqrt(169) = 13`
.
...you output this....
Square root is like this: `sqrt(169) = 13`.
Here's the important thing: evewn if a blind person does not know about adding the quotes to the square root, he's still able to communicate with the teacher, and vice versa. It's no different than students handing in mis-spelled words on their essays.
Example: LaTeX
\documentclass[]{article}
\usepackage{listings}
\usepackage{testphys}
\usepackage{amsmath}
\usepackage{parskip}
\usepackage{graphicx}
\usepackage{mathtools}
\usepackage{bm}
\usepackage{tikz}
\usetikzlibrary{arrows.meta}
\font\btt=rm-lmtk10
\usepackage{color}
\definecolor{codegreen}{rgb}{0,0.6,0}
\definecolor{codegray}{rgb}{0.5,0.5,0.5}
\definecolor{codepurple}{rgb}{0.58,0,0.82}
\definecolor{backcolour}{rgb}{0.95,0.95,0.92}
\lstdefinestyle{texstyle}{
backgroundcolor=\color{backcolour},
commentstyle=\color{codegreen}\itshape\small,
keywordstyle=\color{black}\btt,
numberstyle=\tiny\color{codegray},
stringstyle=\color{codepurple},
basicstyle=\ttfamily\small,
breakatwhitespace=false,
breaklines=true,
captionpos=b,
keepspaces=true,
numbers=left,
numbersep=5pt,
showspaces=false,
showstringspaces=false,
showtabs=false,
tabsize=2,
language=Python
}
\lstset{style=texstyle}
\sisetup{per-mode=symbol}
%%%% NEW MATH SYMBOLS %%%%
\DeclareMathOperator{\erf}{erf}
\DeclareMathOperator{\erfc}{erfc}
\newcommand\mat[1]{\ensuremath\mathsf{#1}}
\def\del{\nabla}
\renewcommand{\vec}[1]{%
\if#1\relax\bm{#1}\else\mathbf{#1}\fi
}
% For augmented matrices
\newenvironment{amatrix}[1]{%
\left(\begin{array}{@{}*{#1}{c}|c@{}}
}{%
\end{array}\right)
}
%For circled numbers
\newcommand*\circled[1]{\tikz[baseline=(char.base)]{
\node[shape=circle,draw,inner sep=2pt] (char) {#1};}}
\newcommand{\unitvec}[1]{\boldsymbol\hat{\bm{#1}}}
\newcommand{\ihat}{\,\unitvec{\imath}}
\newcommand{\jhat}{\,\unitvec{\jmath}}
\newcommand{\khat}{\,\hat{\rule{0ex}{1.5ex}\bm{k}}}
\renewcommand{\div}[1]{\del\cdot #1}
\newcommand{\curl}[1]{\del\times #1}
\newcommand{\grad}[1]{\del #1}
%
% Various Helper Commands
%
% Useful for algorithms
\newcommand{\alg}[1]{\textsc{\bfseries \footnotesize #1}}
% For derivative operator
\newcommand{\deriv}[3][]{\frac{\mathrm{d^{#1}}#2}{\mathrm{d}#3^{#1}}}
\newcommand{\dderiv}[3][]{\dfrac{\mathrm{d^{#1}}#2}{\mathrm{d}#3^{#1}}}
% For partial derivative operator
\newcommand{\pderiv}[3][]{\frac{\partial^{#1} #2}{\partial #3^{#1}}}
\newcommand{\dpderiv}[3][]{\dfrac{\partial^{#1} #2}{\partial #3^{#1}}}
% Integrals
\newcommand\dint{\displaystyle\mathlarger{\int}}
\newcommand{\dx}{\,\mathrm{d}x}
\renewcommand{\d}{\mathrm{d}}
% Alias for the Solution section header
\newcommand{\solution}{\vspace{12pt}\textbf{\large Solution}\vspace{12pt}}
\renewcommand{\part}[1][]{%
\ifthenelse{\equal{#1}{}}{\vspace{12pt}\textbf{\large Part \alph{partCounter}} \vspace{12pt} \stepcounter{partCounter}}
{\vspace{12pt}\textbf{\large #1} \vspace{12pt} \stepcounter{partCounter}}%
}
% Probability commands: Expectation, Variance, Covariance, Bias
\newcommand{\E}{\mathrm{E}}
\newcommand{\Var}{\mathrm{Var}}
\newcommand{\Cov}{\mathrm{Cov}}
\newcommand{\Bias}{\mathrm{Bias}}
%%%% BETTER LOOKING DOTS %%%%
\renewcommand{\dot}[1]{\overset{\bm{.}}{#1}{}}
\renewcommand{\ddot}[1]{\overset{\bm{..}}{#1}{}}
\newcommand{\bs}{\symbol{92}}
\begin{document}
\pagestyle{empty}
\noindent
{\Large\bf PHY 365}
\vspace{4pt}
\noindent
{\Large\bf Oscillating Systems} \hfill {\large Name:} \hrulefill
\vspace{6pt}
%\noindent
%{\Large\bf Do your best!}
\vspace{11pt}
\noindent This is an exercise for learning about oscillators.
\medskip\hrule
\medskip
Before we get started with today's project:
\begin{enumerate}
\item Make sure that SolarSystem is mounted on the Mac. Remember: \texttt{Finder->Go->Connect to Server. }
\item Load \textit{Spyder}. In the upper right corner, you should see a black ``open folder'' icon. Click that. Navigate using Finder to your home directory on SolarSystem (If this makes no sense as an instruction, ask!) and select ``Open''.
This will set your working directory to your home directory. If you did this right, you should see the directory that
you are in as \texttt{\bs Volumes\bs home}.
\end{enumerate}
\section{Simple Harmonic Motion}
The simplest oscillatory motion is a 1-D Hooke's law model, which has the differential equation:
\begin{align*}
\ddot{x} = -\omega_0^2x
\end{align*}
Here, $\omega_0=\sqrt{k/m}$ is the natural frequency of the oscillation, based on the spring constant $k$, a measure of the amount of force required to strain the system by a given distance. This model can be used for simple ``mass on spring'' systems, pendulums with small oscillations, or elastic material stress and strain. This is a second-order DE, so we need to use our RK4 integrator with 2 equations:
\begin{lstlisting}
def f(r,t):
x = r[0]
v = r[1]
k = 100 # The spring constant in N/m
m = 3 # The mass in kg
omega = np.sqrt(k/m) # The natural frequency in 1/s
dx = v
dv = -omega**2*x
return np.array([dx,dv]) # Return array of values
\end{lstlisting}
\subsection{To do}
\bbq
\bq Run your RK4 integrator with this equation and an initial condition of $x_0=\SI{1}{\meter}$ and $v_0=\SI{0}{\meter\per\second}$. Vary the spring constant or mass or both with these initial conditions and plot $x$ vs.\ $t$ and $v$ vs.\ $t$. all on one plot. What does this look like?
\medskip\makebox[0.96\textwidth]{\hrulefill}
\medskip\makebox[0.96\textwidth]{\hrulefill}
\medskip\makebox[0.96\textwidth]{\hrulefill}
\eq
Example of LaTeX File
Notice that it the platform is optimized for screen readers
Take it down to essentials
At the 3:46 time frame of the video, the instructor takes out the images, and strips down the information to text only.
Resources
-
Mathematical equations in Braille (.pdf)
Steve Maddox | School of Physics and Astronomy | University of Nottingham
MSOR Connections Vol 7 No 2 May - July 2007
As accessed 8 April 2019 | msor.7.2m.pdf


Stephan Outlaw
Photographer. Vegetarian. lover.
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I like to make things, but I'm equally fascinated by the stories we tell and the theories we have about what it means to be a maker.
Currently designing at Apple.
Say hi.


If you don’t roleplay in Crusader Kings 3, your ruler might turn to sex and booze to cope
by Dustin BaileyCrusader Kings offers both a chance to roleplay as a medieval lord, and simulate the personality traits and petty grievances of a network of interdependent rulers. Sometimes, those features are at odds with each other – no matter how mean or stupid your character is, you could play them however you want. That’ll still be the case in Crusader Kings 3, but your rulers will have a tough time reconciling if they’re forced to act against their personalities.
Taking actions that go against your ruler’s personality will cause side effects – in the most extreme cases your ruler could lose their mind, according to a breakdown in PC Gamer magazine issue #338. Your ruler will have to relieve stress somehow, and that might include unhealthy obsessions with alcohol, sex, or torture.
Or, for an athletic ruler, it might just mean some extra workouts. Game director Henrik Fåhraeus says “we want it to mean something, but not to the level of being the only thing you think about. So it’s an interesting mechanic, but it’s not supposed to overpower your gameplay.”

Around the Crusader Kings 3 reveal, we got plenty of details on new and updated features like lifestyle perks, wandering characters, dread, and cadet houses. Expect the new grand strategy title to launch sometime next year.


Ghana bride arrives at her wedding in a coffin
A Ghana bride has turned up to her wedding in a coffin.
The unnamed woman decided to take an unconventional approach when it came to arriving for her big day as she made her entrance in a large white casket.
In a video uploaded online, guests can be heard cheering as friends open up the coffin, with the bride smiling and posing for photos.
On Twitter user quipped: "Dead on arrival"
Another person thought the stunt was very disrespectful and "expected thunder to strike her".
They added: "This is sick"


Next: simple-string-p, Previous: simple-string, Up: Strings Dictionary
simple-base-string, base-string, simple-string, string, vector, simple-array, array, sequence, t
The type simple-base-string is equivalent to
(simple-array base-char (*)).
Abbreviating.
(simple-base-string
{[size]})
size—a non-negative fixnum, or the symbol *.
This is equivalent to the type (simple-array base-char (size)); that is, the set of simple base strings of size size.


Adnan Syed’s Case, of ‘Serial’ Fame, Is Declined by Supreme Court
by Karen ZraickThe Supreme Court declined on Monday to hear the case of Adnan Syed, whose murder conviction nearly 20 years ago formed the basis of the hit podcast “Serial.”
Mr. Syed had petitioned for a new trial, arguing that his original lawyer failed to pursue an alibi witness. But the justices left in place a ruling by Maryland’s highest court that denied his petition. They did not comment on the decision.
Mr. Syed is serving a life sentence for the 1999 killing of Hae Min Lee, a high school classmate he had dated whose body was found in a park in Baltimore County. Both were teenagers when the crime occurred. Mr. Syed has maintained that he is innocent.
This story will be updated.


Prior to my transition to a full stack web developer, I worked on historic sailing ships for nonprofit educational organizations creating and delivering history, STEM, and team building programs. Over my career, I worked my way up from volunteer deckhand to captain.
Currently, I am looking to apply my leadership and teamworking skills with my education in software engineering to work in teams developing innovative web applications.


| Event | Countdown |
|---|---|
| Summer 2024 Olympics in Paris, France | |
| 2024 Presidential election | |
| 2025 Presidential Inauguration | |
| Winter 2026 Olympics in Milan and Cortina d'Ampezzo, Italy | |
| FIFA World Cup North America | |
| Summer 2028 Olympics in Los Angeles, USA | |
| 2028 Presidential election | |
| 2029 Presidential Inauguration | |
| Winter 2030 Olympics | |
| Summer 2032 Olympics in Brisbane, Australia |


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This is the course website for IS445(AOG) in Fall 2020
We talk a little bit about publishing and carry on with Idyll.
Further examples include:
This dataset is from the Cardigan Archives and scraped using Beautiful Soup in Python and further processed in Python into this form.


Source
The Problem Roulette Source Code is publicly available on Bitbucket
Technical Information
PR is deployed in a LAMP (Linux, Apache, My-SQL, PHP) environment on a virtual host provided by Informational Technology Services (ITS) at the University of Michigan. The lightweight PHP application simply manages the web transactions and does not require any special framework.
A standard server configuration for such a LAMP system is readily available on Amazon Web Services, so a PR application could be hosted in the public cloud for a modest fee. Our private cloud version hosted by ITS simplifies authentication for U-M students at a modest cost to the Physics Department of $50/year.
The PHP application follows an object-oriented Model-View-Control (MVC) design pattern. With an MVC design, the code is partitioned into three different parts designated for models, views, and controls.
For example, model classes represent objects such as problems and users so that they have the appropriate properties and methods to be easily managed in the PR application.
View classes represent visible elements and deliver display components which in this case are blocks of html, css, and javascript to create the web pages.
Control handlers are the php files that handle server requests, generated for example by clicking to select a particular topic or submitting an answer. Controls manipulate the model and view objects to maintain application state and produce updates to the interface.
This design pattern structures the code to make it more readable, reusable, and robust.


Personal
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Original
Thin Crust
Deep Dish
Tomato Marinara
Pesto
Parmesan & Garlic Alfredo
Garlic & Oil
Your total will be $.00


I have interest with technology, specialy on programming and SecDevOps. I have experience use java for several years as a backend developer. but in present, I want to learn javascript to depth. Because on my oppinion modern javascript is powerfull on future.
Learn javascript from beginning, start from learn html, css and basic js until jQuery.
I think this program, should be continue. Because many positive value I can get here. Thank DevC, Facebook and Hactiv8 for these lessons. I hope with join this class, I can learn depth javascript easier.
Lorem ipsum dolor sit amet consectetur adipisicing elit. Molestias dolorem corrupti dolore natus cum nesciunt labore, soluta ea ducimus vel, architecto odio inventore nobis! Cupiditate harum ullam ratione. Maxime, rem!
@LisaWhite,
Lorem ipsum dolor sit amet consectetur adipisicing elit. Ipsa, distinctio? Tenetur nam facere vitae suscipit consectetur dolorem ut tempore? Eligendi, repellat! Eligendi vel ad laudantium officiis quas, ipsum doloribus ipsa!
@MattH,
Lorem ipsum dolor sit amet consectetur adipisicing elit. Soluta omnis tenetur architecto porro illo exercitationem, fugit rerum, corporis at veritatis excepturi atque consequuntur minus quae, possimus molestias magnam unde libero.
@RyanW,


{% extends 'base.html' %} {% load i18n %} {% block page_content %}
{% trans 'ISOskaba is a competition between the ISOs of Otaniemi, where the goal is to gather points by attending events. At the end of spring, the most active ISOs will be rewarded!' %}
{% endblock %}


{% set suppress_feedback = true %} {% extends '_layouts/layout.html' %} {% block page_title %}{% endblock %} {% block body_css_classes %}nhsuk-frontend{% endblock %} {% block content %}
If you don’t have a GP, see other things you can do.
Find out how to register with a GP if you don’t already have one.


Reactive web application using Play Framework 2.2 for consuming and visualizing live Tweets from the Twitter Streaming API.
Transcripts of talks I find interesting and that have influenced me: Rich Hickey, David Nolen and Guy Steele.
Chat example app using Server Sent Events plus REST calls. Client side implementations both in AngularJS and in React.
Compilation of useful links and resources for learning Clojure and ClojureScript.
Toolbox for building observable systems.
Inspect data structures flowing through your application, from a web client.


I just hope you have a few minutes for me. I know you may spend some time, even if you have met me once. Please, read it if you have some time. You may just know that, my name is N.Lohidasu Reddy.
I do not like making fun of anyone i.e. mocking at anyone, whether it’s me or anyone else. Because, I believe everyone has some negative points, which are non-repairable. So, if we want to love or admire anyone, we should not do it at any level or situation..... I also do not like lies. I never apologize to those persons, who lie heavily. If I have done any mistake or wrong, I simply admit it.... I like laughing, I try to be funny and make others feel happy... I think life should be full of fun, emotion and small battles... Otherwise, there is no “kick”...
IBM ISL is a separate R&D division of IBM. Closely associated with Infrastructs, Build and Tools team.
KloudOne is one of the earliest cloud native solutions provider. We take pride in helping customers cut costs and deploy applications across clouds; and in migrating existing applications to make them cloud native.
Capsule8 is a USA Based Product Group Company. Closely associated with Infrastructs, Build and Tools team. We intergrate our capsule8-sensor for malicious activities dectestion to a linux production enviornment.
Trained arround 7 batchs on Linux, AWS, and DevOps tool like GIT, SVN, Maven, Tomcat, Jenkins, Ansible, Docker and Kubernetes.
CPG is Client Product Group and it is own product of Dell. Closely associated with Build and Tools team.
B.Tech in Electrical and Electronics Engineer @VITAM, Berhampur
+2 Science from Berhampur City College, Berhampur
Schooling from BNH&T, Golanthara, Ganjam
What we can learn from the Characters of Mahabharata
Simple yet beautiful stories leave a long-lasting impression on one’s mind.
A rare conversation between Krishna & Today's Arjuna.


Start by either suggest a feature in the issue list that you want to see in Cake, or assign yourself to an existing feature/bug. Make sure that no one else is working on it already though. It's also appreciated to have some kind of discussion about the issue if it's not an easy fix, to make sure that it's later.
If your suggestion applies to a broad range of users and scenarios, it will be considered for inclusion in the core Cake assemblies.
Make sure that your contribution follows this contribution guide.
The assemblies `Cake.Core` and `Cake.Common` should have no dependencies except the .NET BCL library.
Dependencies for `Cake` executable is acceptable in specific circumstances. If you want to introduce a dependency to the Cake executable, make sure you bring it up in the issue.
Make sure to run all unit tests before creating a pull request. You code should also have reasonable unit test coverage.
If your contribution change behavior or adds new functionality, it's really appreciated (but not mandatory) to update the documentation at https://github.com/cake-build/documentation.
Normal .NET coding guidelines apply. See the Framework Design Guidelines for suggestions.
If you have access to ReSharper, your code should have no ReSharper warnings or errors with the default settings.
When your contribution is ready, send a pull request. Bonus for topic branches.
By contributing to Cake, you assert that:


Public method isReadyCommand
This function sends an isready command. It returns a promise which is resolved once the engine responds with readyok.
Public method uciCommand
This function sends a uci command to the engine. It returns a promise which is resolved once the engine responds with uciok.
TODO:parse options
Not all commands produce an output. Two examples are the position and the ucinewgame commands. For such commands how do you know if the engine is working on your command or has an infinite loop and is hung forever? You don't. As a workaround these commands send an isready command at the end which fortunately produces the readyok output.
Public method setOptionCommand
This function sends a setoption name NAME value VALUE command to the engine and returns a promise. After this command it also sends a isready command and the promise is resolved when the engine produces the readyok string.
Parameters:
optionName must be a String.
(The name of the option)
optionValue must be a String.
(The value of the option)
TODO:parse options from uci command and if option type is button, call the setoption on if optionValue is true
Public method uciNewGameCommand
This function sends a ucinewgame command to the engine and returns a promise. After this command it also sends a isready command and the promise is resolved when the engine produces the readyok string.
Public method positionCommand
This function sends a position fen FenString command and returns a promise. After this command it also sends a isready command and the promise is resolved when the engine produces the readyok string.
Parameters:
fen must be a String.
(The fen string of the position or the value startpos. startpos will set the starting position.)
moves must be a String.
(The moves to play after the position with fen is set.)
Public method timeLimitedGoCommand
This function sends a go wtime whiteTime btime blackTime command and returns a promise. The promise is resolved when the engine outputs a bestmove.
Parameters:
infoHandler must be a Function.
(A callback taking a string. This will be called for each info line output by the engine.)
whiteMillisRemaining must be a Number.
(The remaining time for white in milliseconds)
blackMillisRemaining must be a Number.
(The remaining time for black in milliseconds)
TODO:Parse info and bestmove
Public method goCommand
This function sends the go command and returns a promise. After this command it also sends a isready command and the promise is resolved when the engine produces the readyok string.
Parameters:
commands must be an Object.
(Key-value pairs of commands that can follow the main go command (e.g. searchmoves, infinite, etc.).)
infoHandler must be a Function.
(A callback taking a string. This will be called for each info line output by the engine.)
TODO:Parse info and bestmove
create input command
e.g. { 'infinite': null, ... }
Public method goInfiniteCommand
This function sends the go infinite command and returns a promise. After this command it also sends a isready command and the promise is resolved when the engine produces the readyok string.
Parameters:
TODO:Parse info and bestmove
Public method stopCommand
This function sends the stop command and returns a promise. The promise is resolved when the engine outputs a bestmove.
TODO:Parse info and bestmove
Public method quitCommand
This function sends a quit command. It returns a promise which is resolved once the engine process is terminated.
Public method runProcess
This function starts the engine process and returns a promise which is resolved or rejected later depending upon whether the process is running or not


A2ZDB Object Modeling Principles
The A2Z object model is first and foremost designed for an enterprise perspective that can be described as a holistic top-down logical model commonly refered to as Entity Attribute Value or EAV model. What this means is the model is created with a different, perhaps more abstract approach than one would likely encounter with a traditional View Integration Model. As a result, it allows you to sustain and build upon your domain taxonomy from a holistic perspective that will provide maximum scalability and effeciency into your problem domain through natural software accreation and data federation.
The benefit of using this top-down approach is how well the model itself flexes toward your domain of interest without the need for refactoring callstacks into data storage mediums because a column, table, property or new document was added or changed. We have all experienced this problem one time or another. The reason this benefit can be realized is because the physical objects and attributes that transport the data do not describe the data the same way one might find in traditional View Integration Models.
The following example illustrates this EAV principle at it's core.
Top-Down Logical Model
Figure 1.1 IDEF ER DiagramEAV: Father of All Object Models
- Everything is an "ENTITY"
- All "ENTITY" data has an "ENTITY_TYPE"
- An "ENTITY" can have a "RELATIONSHIP" with another "ENTITY"
- All "RELATIONSHIPS" have a "RELATIONSHIP_TYPE"
- An "ENTITY" can have one or more "ATTRIBUTES"
- An "ATTRIBUTE" has an "ATTRIBUTE_TYPE"
- An "ATTRIBUTE" can have one or more "ATTRIBUTE_VALUES"
The above logical model representation is analogous to space-efficient methods of storing a sparse matrix, where only non-empty values are stored. In an EAV data model, each attribute-value pair is a fact describing an object referred to as an "ENTITY" in the above diagram, and a row in an EAV entity stores a single fact. The benifit of this model is this technique makes it easy to store any sparse matrix or composite object to the model maximizing code reuse. Another benift this technique provides is the ability to identify trending data sets.
Conversely, this strategy requires you to manage relationships via standardized taxonomy and metadata repositories in-lieu of traditional relational constraints as is the case in a bottom-up model. Lastly, this top-down EAV modeling strategy does have a tendency to inherit an abstract nature to the naming convention and normalization techniques. This, combined with logical relational forms will require developers who are not familiar with these patterns and techniques to make the appropriate mental adjustments in how they interact with A2Z's object persistence. In my experiencee, ramp up time usually requires about two weeks working with the model for entry level software developer's who have some experience with data transactions in the web tier.
Characteristics of a View Integration Model
A2ZDB is different than a traditional "View Integration Model" or bottom-up relational model in a variety of ways. Most notable is the difference in how entities and attributes are described in relation to other entities as well as the data these entities contain.
Bottom-Up Object Model
Figure 1.2 IDEF ER DiagramView Integration Model
- Traditionally, the model's Tables and Columns describe themselves
- This same pattern exists with dimensional documents and properties. At this stage, technology and storage platform is irrelavant.
- View models are traditionally highly constrained in favor of project requirements and application features. As a result, it can be a real challenge trying to maintain parity with an enterprise vision.
- View models are susceptible to disparity due to re-engineering efforts and personnel change-over.
- Change management can have a cascading effect on API call stacks as well as user interface & experience. This is commonly seen when the effort to integrate a feature is greater than the feature being integrated.
- DevOps sustainability can be greatly impacted over a life of your data's storage architecture if proper planning is not applied to how you store and access your second most valuble asset. People being the first.
Consolidated EAV View Integration Model.
In looking at the two model's illustrated above. Theoretically, One could store the information from the View Integration Model into the top-down EAV model but the process would require an abstract layer of recursion. This is not the sweet spot you want to perform development operations. Obviously this would not only require a lot development cycles, but would be complicated to change. Accordingly, a great deal of effort has gone into striving to find that balance between an EAV semantic model and a view integration model for maximum sustainablity, usability, scalability and performance. This unification between the traditional view model and and holistic enterprise model is what A2ZDB strives to meet through what I refered to as a consolidated EAV view integration model. You will learn more about these concrete models when you review the Core Object Models. Colloquially, this model can loosley be described an object oriented data model in relational form.
Before continuing any further, It is important to point out a few basic premises regarding object modeling.
- There is no wrong way to model and right way to model per se. If your model returns accurate information, you did it right. If your model returns in-accurate information, this would suggest something was missed and could be very costly in the business decision making processes.
- Varying degrees of EAV modeling does occur in view integration models and these efforts increase the sustainability of project's life span
- Over time, if not properly planned, manged and maintained. A bottom up model can contain a variety of constraints, columns and relationships that get lost in translation as people and process are updated and replaced. These properties are usually ignored by developers for fear of regression.
- Finally, the View Integration Model can be difficult to abondoned due to cultural conditioning, training and past project experiences. In fact, It can be so difficult, that the A2Z modeling principles do not completely abondon the concept.
Sparse Matrix
A2ZDB makes maximum use of spatial effeciency and performance when designing a taxonomy schema. Great care is given toward properly identifying the nature of not just the data being stored, but also the relationships within a domain of discourse and how it relates to accompanying taxonomys that have simalar attributes and relational characteristics. The differences between these two methods of modeling is a red pill/blue pill argument. If you are new to modeling or perhaps you are a veteran developer considering new ways to isolate, partition and manage your enterprise data. The A2ZDB will provide you a tremendous springboard toward accomplishing these efforts.
Schools of Thought
The are two major schools of thought when it comes to the strategies DevOps teams apply to data. Likewise, there are a lot of sub-schools of thought on both sides of the isle. In data architecture parlence, on the one hand there is a camp that believes the object model is king of the hill. How data is actually stored and organized in the database is not a super high priority. Depending on the degree this architecture is implemeted, it has been my experience with this pattern, the relational database is treated like someone might manage there own file system. Heavy drill down dependency is placed on traditional object relational mapping techniques like Entity Framework, JDO or Hibernate API protocols to drill through the aggregate.
Object Model is King?
In truth, there is actually something to be said with this argument. So much so - many DevOps teams have completely moved off this relational database paradigm all together and is now storing serialized composite objects in a document database. This architecture offers tremendous return on data portability and scalability and completely removes the ORM problem domain altogether. Out of sight, out of mind. But what about all the advantages the very powerfull relational database has to offer?
Relational Data Model Is King?
In the other camp, the object model is not king of the hill. The object model is simply a way to reflect data in a proper context and should not be soley constrained or driven through non-technical market intrest. While this is certainly a valid argument, it does not address why the relational model is king of the hill. The relational database is a very powerful tool when properly used. The reason this camp even exists is because it has tenure. Just because data architecture is trending in other directions, does not mean the relational database platform is deprecated or somehow going away. Database document platform technologies have along way to go before they can fill the gaps relational models do much better than aggregate models.
Finding Balance
As a profesisonal data modelor, if I could offer you one piece of advice toward expanding your career path it would be this. Don't put a dog in this fight -- because you don't have to pick a side. Both platforms offer tremendous opportunity and scalabity. The are very powerful features both platforms have to offer. It is in this spirit A2ZDB's architecture encourages you to uses both when and where warranted.
History of this Model
Decades of effort has made this model quite complete in it's core form. More over, it is my experience once developers learn and undertsand this holistic approach, they prefer developing under EAV based Semantic models over "View Integration Models". The reason for this is because it is faster and easier to develop against and provides greater opportunities for code reuse.
In addition to the physical characteristics of the model's themselves, decades of effort has gone into defining a scalable metadata taxonomy that describes your valuable data assets. While this project is new, the defined and developed taxonomy is a mature, vast and growing business computing taxonomy infrastructure. This combined with managed metadata repository dependencies that allows the A2ZDB w/Arizona's architecture to stretch it's legs in both development and production environments.
What this ultimately means is, refactoring storage structure (adding a table or a new column) for your business data becomes a very rare event in feature driven development. Originally - the A2ZDB consisted of 23 EAV Tables, that was almost 20 years ago. Today, the core database and composite architecture requires less than 50 tables. Less than 100% growth in entities in 20 years says something toward the legitamcy of flexibility this model has to offer. I understand this history is important in your decision making process. For additional historical information Click here


{% load staticfiles %}
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William Dickerson
New York, NY, USA
Computer Science, Engineering
& Other Adventures
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--- layout: null section-type: roundtable title: Roundtable --- ## Roundtable ### December 2019 -- January 2020 Why Ethnic Studies now? What is it? Why is it important? We invited a team of distinguished and experienced scholars from diverse backgrounds to engage each other around these questions. We also asked them to reflect on the relationship of Ethnic Studies to Transnational and Hemispheric American Studies and other established interdisciplinary fields of study—Black Studies, Latinx Studies, Caribbean Studies—and last but not least, to illuminate the nature of Dr. Lorgia García Peña’s timely and original contribution to these fields. The exchanges happened between two or three scholars in dialogue with each other. To read the exchanges click below.


Bookmarks
As you make connections, you may want to bookmark them so you can
quickly return to them.
Adding Bookmarks
There are three ways to add bookmarks for your favorite FTP sites.
- Add from the Open Connection dialog.
- Add from the Add
Bookmark menu item under the Bookmarks menu.
- Add from the Manage Bookmarks menu item under the Bookmarks
menu.
If you know that you will want to save a bookmark upon logging in, the
easiest option is to select the Save to Bookmarks option on the
Open Connection dialog. After you connect, a bookmark will be saved for
that site. By default the profile name will be the same as the hostname.
You can change that later by editing the bookmark's properties in the Manage Bookmarks dialog.
If you have already logged in or you wish to add a bookmark without
logging in, you may do so from the Bookmarks menu by selecting the
Add Bookmark menu item. Here you will be allowed to save all of
the pertinent information.
Managing Bookmarks
Once a bookmark has been saved, you have the option to edit the stored
information from the Manage Bookmark dialog. You can get to this dialog
by going under the Bookmarks menu and selecting the Manage
Bookmarks menu item. Here you will have the option to organize the
bookmark's placement in the menu, edit attributes of the bookmark, add a
new bookmark, or delete it altogether.
Global Bookmarks
There is one type of bookmark that you will be able to use but not edit.
They are called global bookmarks. These global bookmarks are no
different than your own local copy, but they are retrieved via an HTTP
URL that can be set in preferences. The URL should point to a valid
Secure FTP 2.5 bookmark XML file.


|
Files | |
| file | hitechnic-superpro.h |
HiTechnic SuperPro Prototype Board driver. | |
Defines | |
| #define | HTSPB_I2C_ADDR 0x10 |
| #define | HTSPB_OFFSET 0x42 |
| #define | HTSPB_A0_U 0x00 |
| #define | HTSPB_A0_L 0x01 |
| #define | HTSPB_DIGIN 0x0A |
| #define | HTSPB_DIGOUT 0x0B |
| #define | HTSPB_DIGCTRL 0x0C |
| #define | HTSPB_STROBE 0x0E |
| #define | HTSPB_LED 0x0F |
| #define | HTSPB_O0MODE 0x10 |
| #define | HTSPB_O0FREQ 0x11 |
| #define | HTSPB_O0VOLT 0x13 |
| #define | HTSPB_O1MODE 0x15 |
| #define | HTSPB_O1FREQ 0x16 |
| #define | HTSPB_O1VOLT 0x18 |
| #define | HTSPB_DACO0 0x10 |
| #define | HTSPB_DACO1 0x15 |
| #define | DAC_MODE_DCOUT 0 |
| #define | DAC_MODE_SINEWAVE 1 |
| #define | DAC_MODE_SQUAREWAVE 2 |
| #define | DAC_MODE_SAWPOSWAVE 3 |
| #define | DAC_MODE_SAWNEGWAVE 4 |
| #define | DAC_MODE_TRIANGLEWAVE 5 |
| #define | DAC_MODE_PWMVOLTAGE 6 |
Functions | |
| ubyte | HTSPBreadIO (tSensors link, ubyte mask) |
| bool | HTSPBwriteIO (tSensors link, ubyte mask) |
| bool | HTSPBsetupIO (tSensors link, ubyte mask) |
| int | HTSPBreadADC (tSensors link, byte channel, byte width) |
| bool | HTSPBreadAllADC (tSensors link, int &adch0, int &adch1, int &adch2, int &adch3, int &adch4, byte width) |
| bool | HTSPBsetSamplingTime (tSensors link, byte interval) |
| bool | HTSPBreadAllADC (tSensors link, int &adch0, int &adch1, int &adch2, int &adch3, byte width) |
| bool | HTSPBwriteAnalog (tSensors link, byte dac, byte mode, int freq, int volt) |
Variables | |
| tByteArray | HTSPB_I2CRequest |
| tByteArray | HTSPB_I2CReply |
HiTechnic SuperPro Prototype Board
| #define DAC_MODE_DCOUT 0 |
Steady (DC) voltage output.
Definition at line 66 of file hitechnic-superpro.h.
| #define DAC_MODE_PWMVOLTAGE 6 |
PWM square wave output.
Definition at line 72 of file hitechnic-superpro.h.
| #define DAC_MODE_SAWNEGWAVE 4 |
Negative going sawtooth output.
Definition at line 70 of file hitechnic-superpro.h.
| #define DAC_MODE_SAWPOSWAVE 3 |
Positive going sawtooth output.
Definition at line 69 of file hitechnic-superpro.h.
| #define DAC_MODE_SINEWAVE 1 |
Sine wave output.
Definition at line 67 of file hitechnic-superpro.h.
| #define DAC_MODE_SQUAREWAVE 2 |
Square wave output.
Definition at line 68 of file hitechnic-superpro.h.
| #define DAC_MODE_TRIANGLEWAVE 5 |
Triangle wave output.
Definition at line 71 of file hitechnic-superpro.h.
| #define HTSPB_A0_L 0x01 |
Address of lower bits of first ADC, bits 1-0
Definition at line 48 of file hitechnic-superpro.h.
| #define HTSPB_A0_U 0x00 |
Address of upper bits of first ADC, bits 9-2
Definition at line 47 of file hitechnic-superpro.h.
| #define HTSPB_DACO0 0x10 |
Address of analog parameters output O0
Definition at line 61 of file hitechnic-superpro.h.
| #define HTSPB_DACO1 0x15 |
Address of analog parameters output O1
Definition at line 62 of file hitechnic-superpro.h.
| #define HTSPB_DIGCTRL 0x0C |
Controls direction of digital ports
Definition at line 51 of file hitechnic-superpro.h.
| #define HTSPB_DIGIN 0x0A |
Address of digital inputs
Definition at line 49 of file hitechnic-superpro.h.
| #define HTSPB_DIGOUT 0x0B |
Address of digital outputs
Definition at line 50 of file hitechnic-superpro.h.
| #define HTSPB_I2C_ADDR 0x10 |
Protoboard I2C device address
Definition at line 45 of file hitechnic-superpro.h.
| #define HTSPB_LED 0x0F |
Address of on-board led outputs, bits 1-0
Definition at line 53 of file hitechnic-superpro.h.
| #define HTSPB_O0FREQ 0x11 |
Address of analog output 0 frequency
Definition at line 55 of file hitechnic-superpro.h.
| #define HTSPB_O0MODE 0x10 |
Address of analog output 0 mode
Definition at line 54 of file hitechnic-superpro.h.
| #define HTSPB_O0VOLT 0x13 |
Address of analog output 0 voltage
Definition at line 56 of file hitechnic-superpro.h.
| #define HTSPB_O1FREQ 0x16 |
Address of analog output 1 frequency
Definition at line 58 of file hitechnic-superpro.h.
| #define HTSPB_O1MODE 0x15 |
Address of analog output 1 mode
Definition at line 57 of file hitechnic-superpro.h.
| #define HTSPB_O1VOLT 0x18 |
Address of analog output 1 voltage
Definition at line 59 of file hitechnic-superpro.h.
| #define HTSPB_OFFSET 0x42 |
Definition at line 46 of file hitechnic-superpro.h.
| #define HTSPB_STROBE 0x0E |
Address of strobe outputs, bits 6-0
Definition at line 52 of file hitechnic-superpro.h.
| int HTSPBreadADC | ( | tSensors | link, |
| byte | channel, | ||
| byte | width | ||
| ) |
Read the value of the specified analogue channel.
| link | the HTSPB port number |
| channel | the specified ADC channel |
| width | the bit width of the result, can be either 8 or 10 |
Definition at line 150 of file hitechnic-superpro.h.
| bool HTSPBreadAllADC | ( | tSensors | link, |
| int & | adch0, | ||
| int & | adch1, | ||
| int & | adch2, | ||
| int & | adch3, | ||
| int & | adch4, | ||
| byte | width | ||
| ) |
| bool HTSPBreadAllADC | ( | tSensors | link, |
| int & | adch0, | ||
| int & | adch1, | ||
| int & | adch2, | ||
| int & | adch3, | ||
| byte | width | ||
| ) |
This function read the value of all of the analogue channels.
| link | the HTSPB port number |
| adch0 | parameter to hold value for ad channel 0 |
| adch1 | parameter to hold value for ad channel 1 |
| adch2 | parameter to hold value for ad channel 2 |
| adch3 | parameter to hold value for ad channel 3 |
| width | the bit width of the result, can be either 8 or 10 |
Definition at line 186 of file hitechnic-superpro.h.
| ubyte HTSPBreadIO | ( | tSensors | link, |
| ubyte | mask | ||
| ) |
Read the values of the digital inputs as specified by the mask.
| link | the HTSPB port number |
| mask | the specified digital ports |
Definition at line 92 of file hitechnic-superpro.h.
| bool HTSPBsetSamplingTime | ( | tSensors | link, |
| byte | interval | ||
| ) |
| bool HTSPBsetupIO | ( | tSensors | link, |
| ubyte | mask | ||
| ) |
Configure the ports for input or output according to the mask.
| link | the HTSPB port number |
| mask | the specified digital ports, 0 = input, 1 = output |
Definition at line 131 of file hitechnic-superpro.h.
| bool HTSPBwriteAnalog | ( | tSensors | link, |
| byte | dac, | ||
| byte | mode, | ||
| int | freq, | ||
| int | volt | ||
| ) |
Write to the analog output.
| link | the HTSPB port number |
| dac | the specified analog port, use HTSPB_DACO0 or HTSPB_DACO1 |
| mode | the analog mode |
| freq | the analog frequency from 1 to 8193 |
| volt | the analog voltage from 0 to 1023 (for 0 to 3.3v) |
Definition at line 226 of file hitechnic-superpro.h.
| bool HTSPBwriteIO | ( | tSensors | link, |
| ubyte | mask | ||
| ) |
Write the values the digital outpus as specified by the mask.
| link | the HTSPB port number |
| mask | the specified digital ports |
Definition at line 112 of file hitechnic-superpro.h.
Array to hold I2C reply data
Definition at line 77 of file hitechnic-superpro.h.
Array to hold I2C command data
Definition at line 76 of file hitechnic-superpro.h.


{% set nav = [
('/', 'Index'),
('services.html', 'Servers'),
('mc.html', 'Minecraft Stuff')]
%}
{% set links = [
<EMAIL_ADDRESS><EMAIL_ADDRESS>"fa-at"),
("https://keybase.io/profan", "keybase.io", "fa-key"),
("https://github.com/profan", "GitHub", "fa-github"),
("https://twitter.com/_profan", "Twitter", "fa-twitter"),
("https://pagefault.se/", "Shared Blog", "fa-external-link")]
%}
{% set past_services = [
("http://facepunch.com/showthread.php?t=1256780", "Profan's Humble FTB Monster V1"),
("http://facepunch.com/showthread.php?t=1280290", "Profan's Humble Construct"),
("http://facepunch.com/showthread.php?t=848161", "The Specialists Facepunch Server!"),
("http://facepunch.com/showthread.php?t=1157276", "Profan's Warband COOP Invasion Server!"),
("http://facepunch.com/showthread.php?t=1105725", "Facepunch Sven Coop![HL1 Mod]"),
("http://facepunch.com/showthread.php?t=1049133", "Profan's Facepunch Battlefield 2 Server!"),
("http://facepunch.com/showthread.php?t=1012849", "Facepunch M&B Warband COOP INVASION Server!"),
("http://facepunch.com/showthread.php?t=917063", "Facepunch Arma2 Server! | ACE2"),
("http://facepunch.com/showthread.php?t=905113", "Celestial Impact!"),
("http://facepunch.com/showthread.php?t=923780", "The Official Facepunch Counterstrike: Source GunGame Server"),
("http://facepunch.com/showthread.php?t=875067", "Facepunch Minigame! Counter Strike Source"),
("http://facepunch.com/showthread.php?t=894266", "Facepunch WW1 Source!"),
("http://facepunch.com/showthread.php?t=885624", "Facepunch Obsidian Conflict Server! | HL2 Mod"),
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("http://facepunch.com/showthread.php?t=832062", "The Middle Ages Roleplay! - Serious Version"),
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("http://facepunch.com/showthread.php?t=838989", "Facepunch Fistful of Frags! Creamy center inside."),
("http://facepunch.com/showthread.php?t=811041", "Facepunch Jailbreak is Back! Again!"),
("http://facepunch.com/showthread.php?t=822306", "Facepunch Pirates, Vikings and Knights Two!"),
("http://facepunch.com/showthread.php?t=799456", "Facepunch Obsidian Conflict!"),
("http://facepunch.com/showthread.php?t=788211", "Lets Play: HL2 Jaykin Bacon Source! HL1 Mod"),
("http://facepunch.com/showthread.php?t=791328", "Facepunch CS:S Zombie Escape!")]
%}


Cut the original string into two parts: what's before and what's after the specified token. You can specify where the token will be included.
The point where to cut the string.
If set to true (default) then the specified token is placed in the "after" part.
A two element array, the first element is the "before" part, the second the "after".
Like calling splitWithIndexes()
but returns raw tokens instead of objects.
The string to work on.
The regular expression to parse with.
Maxium number of elements to return.
How the limit argument should be applied.
The parsed tokens.
Performs a split using a regular expression returing tokens with index data.
The string to work on.
The regular expression to parse with.
Maxium number of elements to return.
How the limit argument should be applied.
An array of tokens splitted from the input string. Each item contains start and end indexes.
Returns a substring of the original string starting from token start
.
If end
is supplied then the substring ends after that token.
If start
is undefined
then ""
is returned,
If end
is not given then the remaining string is returned.
This method (like others) assumes that start and end refer to the same string. If it's not the case then unpredicatable results will occur.
The token to start from (inclusive).
The token to stop at (inclusive). If not given all the remaining string is returned.
The original string section starting at the token at index
Generated using TypeDoc
Library entry point. Expose static methods for different operations.


Displays all of the details about a profile and lets you edit them.
The top of the page shows the basic information about the profile:
The rest of the page is used to display the contents of the profile. It is broken into four tabs:
A feature is a collection of bundles, configuration, and other artifacts that can be installed as a single entity. They are specified using an XML file and are typically stored in a Maven repository.
A feature is specified by an ID and a version using the syntax:
id-string/version
To add a new feature:
To delete a feature from the profile click the X to the left of the feature's name.
Bundles are a library of artifacts that are deployed into a container. There are two types of bundles that can be added to a container:
To add a new bundle:
To delete a bundle from the profile click the X to the left of the bundle's name.
To add a new repository:
To delete a repository from the profile click the X to the left of the repository's URL.
Config files are text files that configure some portion of the container's runtime or one of the services deployed into the container.
To add a new configuration file:
Important - If the config file is not named properly the container may not load it.
To edit a configuration file:
Important - The console does not validate the configuration file.
To delete a configuration file from the profile click the X to the left of the config file's name.


I am a senior at Miami University in Oxford, Ohio studying Software Engineering and Bioinformatics graduating in May of 2018. I will be working for Target in Minneapolis, MN following graduation as a Software Engineer..
My main interest in programming, however, I also have a strong interest in biology which has led me to my minor in bioinformatics. Outside of classes I spend most of my time in different engineering and computing organizations at Miami University. Scroll down to see more!
Who is Who
Insects, Spiders or Other Bugs.... OH MY!!
Typography With Food
Typography Iconic Portrait With Type
Mobile App Design
Logo
Photoshop Portrait
Rewriting History
Holiday MixUp
Deconstruction/Reconstruction
Stationary Sampler
Brochure
Logo Animation
VID_20180501_223040 from Emily Richmond on Vimeo.
Ocean Recycle Spark Video
Ocean Recycle IMS 259 Video from Emily Richmond on Vimeo.
Video Story
IMS VIDEO - ART & ARCHITECTURE AT MIAMI from Emily Richmond on Vimeo.
Co-Author: Zhu, H., Richmond, E. & Liang, C. “CRISPR-RT: A web application for designing CRISPR-C2c2 crRNA with improved target specificity.”
Bioinformatics (Accepted September 2017, In Press)
CRISPR-RT Web Tool
CRISPR-RT Open Source
Contact me through any of the following platforms or by filling out the form below.


Video: Wijnaldum and De Jong combine for powerful anti-racism celebration after Netherlands goal
by Ron CarneLiverpool ace Georginio Wijnaldum was on the mark for the Netherlands in their clash with Estonia on Tuesday night, but he had an important message to send too.
As noted by the Liverpool Echo, the Dutch international responded this week after being left disappointed and upset over a racism incident in the Dutch second division.
SEE MORE: Video: Georginio Wijnaldum produces brilliant header to break deadlock for Netherlands
Excelsior striker Ahmad Mendes Moreira was subjected to racist chanting during their clash with FC Den Bosch at the weekend, and Wijnaldum admitted that he was shocked and hurt by the incident.
With that still fresh in his mind, the midfield star scored early in the encounter with Estonia and as seen in the video below, he sent a powerful message with the help of teammate Frenkie de Jong with their celebration.
The pair joined up and pointed to their arms and more prominently, the colour of their skin


[gecode-users] failed to link with branch
Guido Tack
tack at gecode.org
Thu Jul 11 02:02:12 CEST 2013
Try the following call to configure Gecode:
./configure CC=clang CXX="clang++ -std=c++0x -stdlib=libc++"
I just checked, this compiles, links and runs fine for me (Mac OS 10.8).
Cheers,
Guido
On 11/07/2013, at 9:26 AM, Ronen Shouker <rshouker at gmail.com> wrote:
> Thank you Gustavo and Marco for your quick response.
> Tried building Gecode with clang and -stdlib=libc++, but failed.
> I'm now linking my project with old c++ standard library,
> but that's causing me some troubles
> because I used some of the new features.
>
> I just wondering if I made all the necessary changes to build Gecode with Clang.
> All I did was:
>
> export CXX=clang
> export CXXFLAGS=-stdlib=libc++
>
> and then configure and make
>
> Anything else I should have done?
>
> 10x,
> Ronen
>
>
> 2013/7/11 Marco Correia <marco.v.correia at gmail.com>
> On Jul 10, 2013, at 23:19 , Ronen Shouker <rshouker at gmail.com> wrote:
>
> >
> >> [snip]
> >> ... I have one error during link:
> >>
> >> Undefined symbol 'Gecode::branch(
> >> [snip]
> >> std::__1::basic_ostream<char,std::__1::char_traits<char> >&
> >> [snip]
> >>
> >
> > After using nm to inspect the dylib:
> > it seems that those __1:: that for some reason appear in the error message
> > (and therefore where produced by the compiler) are not in the gecode dylib.
> >
> > Any Clues?
>
> (Disclaimer: I am not a Gecode expert)
>
> I suspect the problem is the c++ standard library. With clang (the new c++ compiler shipped with mac os) comes a new c++ standard lib, which you can link to by specifying -stdlib=libc++ when compiling/linking you code. To link with the old c++ standard lib you compile with -stdlib=libstdc++ instead.
>
> I suspect you compiled gecode with one of them are now are trying to compile your example with the other one.
>
> _______________________________________________
> Gecode users mailing list
> users at gecode.org
> https://www.gecode.org/mailman/listinfo/gecode-users
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Kahvi Kahvi
Get your drip of Finnish koffee kulture with us.
1235 Lieken St. Sunnsyde, Ca 91427
Days are divided by kahvi breaks. See for yourself.
Donec ullamcorper nulla non metus auctor fringilla. Vestibulum id ligula porta felis euismod semper. Praesent commodo cursus magna, vel scelerisque nisl consectetur. Fusce dapibus, tellus ac cursus commodo.
Laskiaispulla? Checkmate.
Donec ullamcorper nulla non metus auctor fringilla. Vestibulum id ligula porta felis euismod semper. Praesent commodo cursus magna, vel scelerisque nisl consectetur. Fusce dapibus, tellus ac cursus commodo.
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Begin with a selection from our award winning beverage coffee list and baked goods.Filter roast, mazagran, coffee pumpkin spice as blue mountain breve espresso doppio froth. Coffee brewed mazagran id et mazagran java.
Kahvi
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|---|---|
| ROST & Co. Ruanda Muzo Intango Hints: Wild strawberry, toffee and cherry |
$5.50 |
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$4.00 |
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$7.00 |
| ROST & Co. Ruanda Muzo Intango Hints: Wild strawberry, toffee and cherry |
$6.45 |
Pastries
| Pastries | $ |
|---|---|
| ROST & Co. Ruanda Muzo Intango Hints: Wild strawberry, toffee and cherry |
$5.50 |
| ROST & Co. Ruanda Muzo Intango Hints: Wild strawberry, toffee and cherry |
$4.35 |
| ROST & Co. Ruanda Muzo Intango Hints: Wild strawberry, toffee and cherry |
$4.00 |
| ROST & Co. Ruanda Muzo Intango Hints: Wild strawberry, toffee and cherry |
$7.00 |
| ROST & Co. Ruanda Muzo Intango Hints: Wild strawberry, toffee and cherry |
$6.45 |
Our Story
Begin with a selection from our award winning beverage coffee list and baked goods.Filter roast, mazagran, coffee pumpkin spice as blue mountain breve espresso doppio froth. Coffee brewed mazagran id et mazagran java.
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Begin with a selection from our award winning beverage coffee list and baked goods.Filter roast, mazagran, coffee pumpkin spice as blue mountain breve espresso doppio froth. Coffee brewed mazagran id et mazagran java.


It starts with a simple vacancies control solution but flexible enough to support different needs
It allows users to set these properties:
Guests are allowed to visit, list and view existing vacancies.
Users are allowed to create, update and delete their own vacancies, including the fulfilled ones. They can also view not fulfilled vacancies created by other users.
Administrators are able to create vacancies and update/delete vacancies from anyone if necessary.


Trevor Bedford (@trvrb)
Fred Hutchinson Cancer Center / Howard Hughes Medical Institute
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Slides at: bedford.io/talks
Generally expect DNA viruses to have much slower evolutionary rate of roughly 1 mutation per year compared to RNA viruses like SARS-CoV-2 which mutate once every 2 weeks
Previously we observed stuttering transmission chains in humans after spillover from reservoir, similar to viruses like MERS-CoV and Nipa
Observe ~1 mutation per month instead of the DNA virus expectation of 1 mutation per year
SARS-CoV-2 and MPXV genomic epi: Data producers from all over the world, GISAID and the Nextstrain team
Bedford Lab: John Huddleston,   James Hadfield,   Katie Kistler,   Louise Moncla,   Maya Lewinsohn,   Thomas Sibley,   Jover Lee,   Cassia Wagner,   Miguel Paredes,   Nicola Müller,   Marlin Figgins,   Denisse Sequeira,   Victor Lin,   Jennifer Chang