--- layout: post title: Emma Week 7 categories: [] tags: [] status: publish type: post published: true meta: _original_post_id: '' _original_import_author: John Duprey author: ---
jduprey


Cody Rhodes reacts to WWE changing the Intercontinental Championship
by Nicky PagsCody Rhodes weighs-in on new WWE IC title
This week's episode of WWE SmackDown, the final episode of the show before this Sunday's WWE Survivor Series, featuring the somewhat shocking debut of not a new WWE Superstar, but a new version of the Intercontinental Championship belt.
The title is arguably one the most prestigious in pro wrestling history, and while the color of the belt strap has varied over the years, the plates have remained the same, and are considered legendary at this point.
All that changed on WWE SmackDown this week, when Sami Zayn awarded current IC Champion Shinsuke Nakamura with a new version of the belt, and the new title design has been met with mostly positive reviews from fans online, with some fans also reject the idea that WWE would change such a historic title belt.
One name who helped infuse new life into the WWE IC title is former Champion and current AEW star Cody Rhodes, who famously brought the white strap back to the title during one of his more famous IC title reins.
When a fan on Twitter supposed that WWE created the new IC title design to retaliate against Cody Rhodes once holding the famous strap, Cody responded, saying he feels the theory is unlikely, and that WWE might have felt that it's time for a change to the iconic title.
What do you think of the new WWE IC title? Let us know in the comment section and be sure to follow SK on Twitter and Facebook!


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{% extends "global/Page.html" %} {% load staticfiles otree_tags %} {% block title %}
In stage 3, you will see how many {{ Constants.exp_currency }} you get in that round, which are calculated by the gains of coordinating with your active connections minus the costs of your proposed connections. A coordination is an instance where an active connection and yourself have both picked the same action: or . The computer will do the calculations for you in each round, but below you can see how the {{ Constants.exp_currency }} are calculated in 3 simple steps:
Gains in each round depend on (i) your group, (ii) the action you pick, and (iii) the number of your active connections choosing the same (including yourself). You do not earn anything with a player if you do not have an active connection together and choose the same action.
If your group is ● and you:
If your group is ▲ and you:
Your costs in each round depend only on the number of connections you propose. You pay a cost of 2 {{ Constants.exp_currency }} for each proposal you make.
Your {{ Constants.exp_currency }} are calculated as the gains from coordinating with your active connections minus the cost of each connection you propose. The examples illustrate this:
1. Gains: You have 6 coordinations (with player 1, 2, 3, 4, 7 and yourself). Your 6 coordinations
are multiplied by {{ Constants.liked_gain }} (because your group is ● and you chose
). You did not coordinate with player 5 so you get 0 {{ Constants.exp_currency }} from that active
connection. So you gain 36 {{ Constants.exp_currency }}.
2. Costs: You proposed 6 connections (to players 1, 2, 3, 4, 5 and 7), each costs {{ Constants.link_cost }}
{{ Constants.exp_currency }}, so you pay 12 {{ Constants.exp_currency }}.
3. Total Points: You get 36 in gains minus 12 in costs: 36 - 12 = 24 {{ Constants.exp_currency }} in this round.
1. Gains: You have 6 coordination (with 5 of your active connections plus yourself). Your 6 coordinations
are multiplied by {{ Constants.liked_gain }} (because your group is ▲ and you chose
). You did not coordinate with player 7 so you get 0 {{ Constants.exp_currency }} from that active
connection. So you gain 36 {{ Constants.exp_currency }}.
2. Costs: You proposed 6 connections, so you pay 6 x 2 = 12 {{ Constants.exp_currency }}.
3. Total Points: You get 36 in gains minus 12 in costs: 36 - 12 = 24 {{ Constants.exp_currency }} in this round.
1. Your group is ●, you chose action and you have one active connection
with a player who chose action . What are the total {{ Constants.exp_currency }} you get from this
connection (not including what you get from coordinatng with yourself)?
{% formfield player.pay_coord label="" %}
2. Your group is ●, you chose action and you have one active connection
with a player who chose action . What are the total {{ Constants.exp_currency }} you get from
this connection (not including what you get from coordinatng with yourself)?
{% formfield player.pay_nocoord label="" %}


The purpose of Bit.Nybble.Byte (BNB) is to provide an environment for students to expand their knowledge in Java based software design past the material covered by the programming courses offered in the school curriculum.
BNB aims to expand knowledge in designing and creating software, focusing primarily on Java, beyond what is taught in school (e.g. game design, networking, OpenGL, etc.).
Members can cooperate on projects by using Git, a version control system for collaborative coding.


I am a dedicated, dependable, and self-motivated professional with a passion for problem solving. Through my education and professional background, I have obtained a strong aptitude for learning new technologies quickly and I am always eager to provide value to the team.
If you would like to learn more about my work please feel free to send me a message!


{% extends 'base/_base_index.html' %} {% block title %}Reset Password{% endblock %} {% block body_title %}Reset Password{% endblock %} {% block body_content %}
Forgot your password? Provide your email address below, and an email will be sent with instructions for setting up a new one.


Column Layouts
Layout containers used to arrange content on a 12-column grid. Can be used inside other layout containers like sections and panels.
Includes:
- Containers contain the columns. A required wrapper with some modifiers available for width and text alignment.
- Columns contain the content. Modifiers are used to adjust the width, i.e., span columns.
Container
Under Review Available since 1.0.0
Columns must be wrapper with this container. Some modifiers are provided to give you better control over your layout.
Default Container
Default container has a letterbox max-width of 1290px
.
Fluid Container
.fd-container--fluid
modifier overrides the max-width for a fluid layout with 100% of parent container.
Centered Container
.fd-container--centered
modifier for aligning the wrapper in the of the parent container.
Flex Container
.fd-container--flex
modifier for using flexbox option with the columns.
Columns
Under Review Available since 1.0.0
Equal width Columns
12 columns
This component use .fd-col--1
to illustrate the how the grid works with the spacing.
Three columns
Using .fd-col--4
you can build a three column layout.
Two columns
Probably the most used layout. With .fd-col--6
you can achieve the two columns layout.
Unequal width columns
You can use arbitrary column sizes depending on the information you need to display.
Two columns (3/9)
The grid can be used with any column size.
Three col (3/6/3)
Example of a three column layout.
You can also shift columns to get a balanced visual design on your page.
One column, shifted by three columns
In the following component we have only one columns that is shifted by 3 columns.
Flex width Columns
With the fundamental grid you can take advantage of CSS Flexbox and make your grid more flexible.
Four columns and Three flex columns
Inside flex containers, use .fd-col to evenly fill the left over space. The columns leave without a given size will adjust the size according to the CSS Flexbox rules.
Three columns using flexbox
Inside flex containers, use .fd-col to distribute space with no margin.


@InProceedings{hoffman-acl11,
author = {Hoffmann, R. and Zhang, C. and Ling, X. and Zettlemoyer, L. and Weld, D.S.},
title = {Knowledge-Based Weak Supervision for Information Extraction of Overlapping Relations},
booktitle = {Proceedings of the ACL 2011 Conference},
address = {Portland, Oregon, USA},
publisher = {The Association for Computer Linguistics},
}
Raphael Hoffmann, Congle Zhang,


megnet.layers package¶
Subpackages¶
Module contents¶
Megnet layers implementations. This subpackage includes
Graph convolution layers
Readout layers
- class CrystalGraphLayer(*args, **kwargs)[source]¶
Bases:
megnet.layers.graph.base.GraphNetworkLayer
The CGCNN graph implementation as described in the paper
Xie et al. PHYSICAL REVIEW LETTERS 120, 145301 (2018)
- call(inputs, mask=None)¶
the logic of the layer, returns the final graph
- compute_output_shape(input_shape)[source]¶
compute static output shapes, returns list of tuple shapes
- phi_v(b_e_p, inputs)[source]¶
update the atom attributes by the results from previous step b_e_p and all the inputs returns v_p.
- Parameters
activation (str) – Default: None. The activation function used for each sub-neural network. Examples include ‘relu’, ‘softmax’, ‘tanh’, ‘sigmoid’ and etc.
use_bias (bool) – Default: True. Whether to use the bias term in the neural network.
kernel_initializer (str) – Default: ‘glorot_uniform’. Initialization function for the layer kernel weights,
bias_initializer (str) – Default: ‘zeros’
activity_regularizer (str) – Default: None. The regularization function for the output
kernel_constraint (str) – Default: None. Keras constraint for kernel values
bias_constraint (str) – Default: None .Keras constraint for bias values
kwargs (dictionary) – additional keyword args
- build(input_shapes)[source]¶
Build the weights for the layer :param input_shapes: the shapes of all input tensors :type input_shapes: sequence of tuple
- compute_output_shape(input_shape)[source]¶
Compute output shapes from input shapes :param input_shape: input shapes :type input_shape: sequence of tuple
Returns: sequence of tuples output shapes
- get_config()[source]¶
Part of keras layer interface, where the signature is converted into a dict
- Returns
configurational dictionary
- phi_e(inputs)[source]¶
Edge update function :param inputs: :type inputs: tuple of tensor
- Returns
output tensor
- phi_u(b_e_p, b_v_p, inputs)[source]¶
- Parameters
b_e_p (tf.Tensor) – edge/bond to global aggregated tensor
b_v_p (tf.Tensor) – node/atom to global aggregated tensor
inputs (Sequence) – list or tuple for the graph inputs
- Returns
updated globa/state attributes
- phi_v(b_ei_p, inputs)[source]¶
Node update function :param b_ei_p: edge aggregated tensor :type b_ei_p: tensor :param inputs: other graph inputs :type inputs: tuple of tensors
Returns: updated node tensor
- rho_e_u(e_p, inputs)[source]¶
aggregate edge to state :param e_p: edge tensor :type e_p: tensor :param inputs: other graph input tensors :type inputs: tuple of tensors
Returns: edge aggregated tensor for states
- class GaussianExpansion(*args, **kwargs)[source]¶
Bases:
keras.engine.base_layer.Layer
Simple Gaussian expansion. A vector of distance [d1, d2, d3, …, dn] is expanded to a matrix of shape [n, m], where m is the number of Gaussian basis centers
- Parameters
centers (np.ndarray) – Gaussian basis centers
width (float) – width of the Gaussian basis
**kwargs –
- build(input_shape)[source]¶
build the layer :param input_shape: tuple of int for the input shape :type input_shape: tuple
- class InteractionLayer(*args, **kwargs)[source]¶
Bases:
megnet.layers.graph.base.GraphNetworkLayer
The Continuous filter InteractionLayer in Schnet
Schütt et al. SchNet: A continuous-filter convolutional neural network for modeling quantum interactions
- call(inputs, mask=None)¶
the logic of the layer, returns the final graph
- compute_output_shape(input_shape)[source]¶
compute static output shapes, returns list of tuple shapes
- phi_v(b_e_p, inputs)[source]¶
update the atom attributes by the results from previous step b_e_p and all the inputs returns v_p.
- Parameters
activation (str) – Default: None. The activation function used for each sub-neural network. Examples include ‘relu’, ‘softmax’, ‘tanh’, ‘sigmoid’ and etc.
use_bias (bool) – Default: True. Whether to use the bias term in the neural network.
kernel_initializer (str) – Default: ‘glorot_uniform’. Initialization function for the layer kernel weights,
bias_initializer (str) – Default: ‘zeros’
activity_regularizer (str) – Default: None. The regularization function for the output
kernel_constraint (str) – Default: None. Keras constraint for kernel values
bias_constraint (str) – Default: None .Keras constraint for bias values
- build(input_shapes)[source]¶
Build the weights for the layer :param input_shapes: the shapes of all input tensors :type input_shapes: sequence of tuple
- compute_output_shape(input_shape)[source]¶
Compute output shapes from input shapes :param input_shape: input shapes :type input_shape: sequence of tuple
Returns: sequence of tuples output shapes
- get_config()[source]¶
Part of keras layer interface, where the signature is converted into a dict
- Returns
configurational dictionary
- phi_e(inputs)[source]¶
Edge update function :param inputs: :type inputs: tuple of tensor
- Returns
output tensor
- phi_u(b_e_p, b_v_p, inputs)[source]¶
- Parameters
b_e_p (tf.Tensor) – edge/bond to global aggregated tensor
b_v_p (tf.Tensor) – node/atom to global aggregated tensor
inputs (Sequence) – list or tuple for the graph inputs
- Returns
updated globa/state attributes
- phi_v(b_ei_p, inputs)[source]¶
Node update function :param b_ei_p: edge aggregated tensor :type b_ei_p: tensor :param inputs: other graph inputs :type inputs: tuple of tensors
Returns: updated node tensor
- rho_e_u(e_p, inputs)[source]¶
aggregate edge to state :param e_p: edge tensor :type e_p: tensor :param inputs: other graph input tensors :type inputs: tuple of tensors
Returns: edge aggregated tensor for states
- class LinearWithIndex(*args, **kwargs)[source]¶
Bases:
keras.engine.base_layer.Layer
Sum or average the node/edge attributes to get a structure-level vector
- Parameters
mode – (str) ‘mean’, ‘sum’, ‘max’, ‘mean’ or ‘prod’
**kwargs –
- build(input_shape)[source]¶
Build tensors :param input_shape: input shapes :type input_shape: sequence of tuple
- call(inputs, mask=None)[source]¶
Main logic :param inputs: input tensors :type inputs: tuple of tensor :param mask: mask tensor :type mask: tensor
Returns: output tensor
- class MEGNetLayer(*args, **kwargs)[source]¶
Bases:
megnet.layers.graph.base.GraphNetworkLayer
The MEGNet graph implementation as described in the paper
Chen, Chi; Ye, Weike Ye; Zuo, Yunxing; Zheng, Chen; Ong, Shyue Ping. Graph Networks as a Universal Machine Learning Framework for Molecules and Crystals, 2018, arXiv preprint. [arXiv:1812.05055](https://arxiv.org/abs/1812.05055) .. method:: call(inputs, mask=None)
the logic of the layer, returns the final graph
- compute_output_shape(input_shape)[source]¶
compute static output shapes, returns list of tuple shapes
- phi_v(b_e_p, inputs)[source]¶
update the atom attributes by the results from previous step b_e_p and all the inputs returns v_p.
- Parameters
units_v (list of integers) – the hidden layer sizes for node update neural network
units_e (list of integers) – the hidden layer sizes for edge update neural network
units_u (list of integers) – the hidden layer sizes for state update neural network
pool_method (str) – ‘mean’ or ‘sum’, determines how information is gathered to nodes from neighboring edges
activation (str) – Default: None. The activation function used for each sub-neural network. Examples include ‘relu’, ‘softmax’, ‘tanh’, ‘sigmoid’ and etc.
use_bias (bool) – Default: True. Whether to use the bias term in the neural network.
kernel_initializer (str) – Default: ‘glorot_uniform’. Initialization function for the layer kernel weights,
bias_initializer (str) – Default: ‘zeros’
activity_regularizer (str) – Default: None. The regularization function for the output
kernel_constraint (str) – Default: None. Keras constraint for kernel values
bias_constraint (str) – Default: None .Keras constraint for bias values
- build(input_shapes)[source]¶
Build the weights for the layer :param input_shapes: the shapes of all input tensors :type input_shapes: sequence of tuple
- compute_output_shape(input_shape)[source]¶
Compute output shapes from input shapes :param input_shape: input shapes :type input_shape: sequence of tuple
Returns: sequence of tuples output shapes
- get_config()[source]¶
Part of keras layer interface, where the signature is converted into a dict
- Returns
configurational dictionary
- phi_e(inputs)[source]¶
Edge update function :param inputs: :type inputs: tuple of tensor
- Returns
output tensor
- phi_u(b_e_p, b_v_p, inputs)[source]¶
- Parameters
b_e_p (tf.Tensor) – edge/bond to global aggregated tensor
b_v_p (tf.Tensor) – node/atom to global aggregated tensor
inputs (Sequence) – list or tuple for the graph inputs
- Returns
updated globa/state attributes
- phi_v(b_ei_p, inputs)[source]¶
Node update function :param b_ei_p: edge aggregated tensor :type b_ei_p: tensor :param inputs: other graph inputs :type inputs: tuple of tensors
Returns: updated node tensor
- rho_e_u(e_p, inputs)[source]¶
aggregate edge to state :param e_p: edge tensor :type e_p: tensor :param inputs: other graph input tensors :type inputs: tuple of tensors
Returns: edge aggregated tensor for states
- class Set2Set(*args, **kwargs)[source]¶
Bases:
keras.engine.base_layer.Layer
For a set of vectors, the set2set neural network maps it to a single vector. The order invariance is acheived by a attention mechanism. See Vinyals, Oriol, Samy Bengio, and Manjunath Kudlur. “Order matters: Sequence to sequence for sets.” arXiv preprint arXiv:1511.06391 (2015).
- Parameters
T – (int) recurrent step
n_hidden – (int) number of hidden units
activation – (str or object) activation function
activation_lstm – (str or object) activation function for lstm
recurrent_activation – (str or object) activation function for recurrent step
kernel_initializer – (str or object) initializer for kernel weights
recurrent_initializer – (str or object) initializer for recurrent weights
bias_initializer – (str or object) initializer for biases
use_bias – (bool) whether to use biases
unit_forget_bias – (bool) whether to use basis in forget gate
kernel_regularizer – (str or object) regularizer for kernel weights
recurrent_regularizer – (str or object) regularizer for recurrent weights
bias_regularizer – (str or object) regularizer for biases
kernel_constraint – (str or object) constraint for kernel weights
recurrent_constraint – (str or object) constraint for recurrent weights
bias_constraint – (str or object) constraint for biases
kwargs – other inputs for keras Layer class
- build(input_shape)[source]¶
Build tensors :param input_shape: input shapes :type input_shape: sequence of tuple
- call(inputs, mask=None)[source]¶
Main logic :param inputs: input tensors :type inputs: tuple of tensor :param mask: mask tensor :type mask: tensor
Returns: output tensor
- keras_layer_deserialize(config, custom_objects=None)¶
Instantiates a layer from a config dictionary.
- Parameters
config – dict of the form {‘class_name’: str, ‘config’: dict}
custom_objects – dict mapping class names (or function names) of custom (non-Keras) objects to class/functions
- Returns
Layer instance (may be Model, Sequential, Network, Layer…)
Example:
```python # Configuration of Dense(32, activation=’relu’) config = {
‘class_name’: ‘Dense’, ‘config’: {
‘activation’: ‘relu’, ‘activity_regularizer’: None, ‘bias_constraint’: None, ‘bias_initializer’: {‘class_name’: ‘Zeros’, ‘config’: {}}, ‘bias_regularizer’: None, ‘dtype’: ‘float32’, ‘kernel_constraint’: None, ‘kernel_initializer’: {‘class_name’: ‘GlorotUniform’,
‘config’: {‘seed’: None}},
‘kernel_regularizer’: None, ‘name’: ‘dense’, ‘trainable’: True, ‘units’: 32, ‘use_bias’: True
}
- mean_squared_error_with_scale(y_true, y_pred, scale=10000)[source]¶
Keras default log for tracking progress shows two decimal points, here we multiply the mse by a factor to fully show the loss in progress bar
- Parameters
y_true – (tensor) training y
y_pred – (tensor) predicted y
scale – (int or float) factor to multiply with mse
- Returns
scaled mse (float)


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java.lang.Object org.apache.commons.betwixt.schema.SchemaTranscriber
Generates XML Schemas for Betwixt mappings.
The basic idea is that an object model for the schema will be created and Betwixt can be used to output this to xml. This should allow both SAX and text.
| Field Summary | |
static java.lang.String |
W3C_SCHEMA_INSTANCE_URI
|
static java.lang.String |
W3C_SCHEMA_URI
|
| Constructor Summary | |
SchemaTranscriber()
|
| Method Summary | |
BindingConfiguration |
createSchemaBindingConfiguration()
Gets a BindingConfiguration that is suitable for mapping Schema . |
IntrospectionConfiguration |
createSchemaIntrospectionConfiguration()
Gets an IntrospectionConfiguration that is suitable
for introspecting Schema . |
Schema |
generate(java.lang.Class clazz)
Generates an XML Schema model for the given class. |
Schema |
generate(XMLBeanInfo xmlBeanInfo)
Generates an XML Schema model from the given XMLBeanInfo |
TranscriptionConfiguration |
getConfiguration()
Gets the configuration for the XMLBeanInfo to XML schema transcription. |
XMLIntrospector |
getXMLIntrospector()
Gets the XMLIntrospector used to create XMLInfoBean's. |
void |
setConfiguration(TranscriptionConfiguration configuration)
Sets the configuration for the XMLBeanInfo to XML schema transcription. |
void |
setXMLIntrospector(XMLIntrospector introspector)
Sets the XMLIntrospector used to create XMLInfoBeans. |
| Methods inherited from class java.lang.Object |
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
| Field Detail |
public static final java.lang.String W3C_SCHEMA_URI
public static final java.lang.String W3C_SCHEMA_INSTANCE_URI
| Constructor Detail |
public SchemaTranscriber()
| Method Detail |
public TranscriptionConfiguration getConfiguration()
public void setConfiguration(TranscriptionConfiguration configuration)
configuration
- TranscriptionConfiguration, not nullpublic XMLIntrospector getXMLIntrospector()
public void setXMLIntrospector(XMLIntrospector introspector)
Sets the XMLIntrospector used to create XMLInfoBeans.
Note: certain properties will be reconfigured so that the introspection will produce correct results.
introspector
- XMLIntrospector used to create XMLInfoBean's used to generate schema, not nullpublic Schema generate(java.lang.Class clazz) throws java.beans.IntrospectionException
clazz
- not null
java.beans.IntrospectionException
public Schema generate(XMLBeanInfo xmlBeanInfo) throws java.beans.IntrospectionException
xmlBeanInfo
- not null
java.beans.IntrospectionException
public IntrospectionConfiguration createSchemaIntrospectionConfiguration()
Gets an IntrospectionConfiguration
that is suitable
for introspecting Schema
.
Note: A new instance is created each time this method is called. It can therefore be safely be modified.
public BindingConfiguration createSchemaBindingConfiguration()
Gets a BindingConfiguration
that is suitable for mapping Schema
.
Note: A new instance is created each time this method is called. It can therefore be safely be modified.
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Always exclude marked files?
If this option is set, the backups will always skip files that have been
marked with the chattr command or the File Manager, even when doing
a level 0 backup. Normally, they are only skipped for backups of level 1 or
above.


Visit github.com/chantastic/planningcenter-minions.css to figure out what this page is even about.
Open your DevTools and play around if you're here because you already know what this page is about.
Accounts context.
Check-ins context.
Giving context.
Groups context.
Registrations context.
Resources Contex.
People Context.
Planning Center Contex.
Services Context.


Equipment represents one or more physical machines, tools, or instruments that can create, use, store, move, or transform materials.
Equipment comprises all active processing elements that carry out physical processes in which materials are used or transformed. Equipment is a specialization of the Node element. Therefore, it is possible to model nodes that are formed by a combination of IT infrastructure (devices, system software) and physical infrastructure (equipment); e.g., an MRI scanner at a hospital, a production plant with its control systems, etc.
Material can be accessed (e.g., created, used, stored, moved, or transformed) by equipment. Equipment can serve other Equipment, and also Business Roles and Actors, and Facilities can be assigned to Equipment. A piece of Equipment can be composed of other pieces of Equipment. Equipment can be assigned to (i.e., installed and used in or on) a Facility and can be aggregated in a Location.
The name of a piece of Equipment should preferably be a noun.
Physical. Active Structure.
MRI scanner, Assembly line.


{% extends "global/Page.html" %} {% load staticfiles otree %} {% block title %} Flavour {% endblock %} {% block content %}
You will be shown a list of six ice-cream flavours. Your task is to rank the ice-cream flavours according to your personal perference. Your most favorite should be assigned number 1 and the least favorite flavour should be assigned number 6.
{% formfield player.apple_pie %}
{% formfield player.salted_coconut_and_mango_salsa %}
{% formfield player.milk_chocolate_with_choc_peanut_fudge %}
{% formfield player.poached_figs_in_marsala %}
{% formfield player.pear_and_rhubarb %}
{% formfield player.lemon %}
{% next_button %} {% endblock %}


“[Charles II] smilingly remarked that it must surely have been his own fault that he did not come back sooner, for he saw no one who did not protest that he had always longed for his return. One Dobson, a miller at Charlton, in Kent, burnt his windmill as a bonfire for joy.” — Professor Meikeljohn, The History Of England And Great Britain (Thanks, Max)


|
Awesome Portable Rendering Interface Library
This library provides a universal rendering API and does not require to write code that is used in only one API (e.g. OpenGL, DirectX, SDL, ...)
|
Defines texture types in order to control their behavior and certain features. More...
#include <Texture.h>
Public Member Functions | |
| Type (chstr name) | |
| Type (chstr name, unsigned int value) | |
| Type | next () const |
| Type | previous () const |
| bool | operator< (const Type &other) const |
| bool | operator> (const Type &other) const |
| bool | operator<= (const Type &other) const |
| bool | operator>= (const Type &other) const |
| bool | operator== (const Type &other) const |
| bool | operator!= (const Type &other) const |
Static Public Member Functions | |
| static int | getCount () |
| static hltypes::Array< Type > | getValues () |
| static hstr | getEnumName () |
| static hltypes::Map< unsigned int, hstr > | getAsMap () |
| static Type | fromInt (int value) |
| static Type | fromUint (unsigned int value) |
| static Type | fromName (chstr name) |
| static bool | hasValue (chstr name) |
| static bool | hasValueFor (int value) |
| static bool | hasValueFor (unsigned int value) |
Static Public Attributes | |
| static const Type | Immutable |
| Cannot be modified or read. Texture with manual data will have a copy of the data in RAM, files will be reloaded from persistent memory. | |
| static const Type | Managed |
| Resides in RAM and on GPU, can be modified. Best used for manually created textures or loaded from files which will be modified. | |
| static const Type | RenderTarget |
| Used as render target. | |
Protected Member Functions | |
| Type (unsigned int value) | |
| hltypes::Map< unsigned int, hstr > & | _getInstances () const |
Defines texture types in order to control their behavior and certain features.


KnowHows is a Slack application that tracks GitHub repositories and allows users to search for people who have knowledge on certain parts of code. By invoking the /knowhows command in a Slack channel, users can query KnowHows on an API term or a general software concept. KnowHows then produces a ranked list of tracked users that have the most experience with that query.
KnowHows uses a unique combination of a Solr search engine and the srcML source code parser to provide rankings for API terms. When a repository from GitHub is requested to be tracked, each commit is processed through srcML and correlated with fully patched files to identify relevant API terms. The terms and commit messages are then inserted into a Solr core that can be queried from the Slack application. Solr provides the heavy lifting by ranking individuals most heavily associated with that term or concept.
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Before Change
counter = collections.Counter(neighbors_y)
// Get the number of examples of the majority class in the region of competence
count_most_common = counter.most_common()[0][1]
hardness = (self.k - count_most_common) / self.k
return hardness
After Change
neighbors_y = [self.DSEL_target[index] for index in region_competence[:self.safe_k]]
_, num_majority_class = mode(neighbors_y)
// Get the number of examples of the majority class in the region of competence
hardness = (self.k - num_majority_class) / self.k


Locations: {{posting.locations.join("; ")}}
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StreamOchestrator
Overview
To be able to play a content, the player has to be able to download chunks of media data - called segments - and has to push them to SourceBuffers.
In the RxPlayer, the StreamOrchestrator is the entry point for performing all those tasks.
Basically, the StreamOrchestrator:
-
dynamically creates various SourceBuffers depending on the needs of the given content
-
orchestrates segment downloading and “pushing” to allow the content to play in the best conditions possible.
Multiple types handling
More often than not, content are divised into multiple “types”: “audio”, “video” and “text” segments, for example. They are often completely distinct in a Manifest and as such, have to be downloaded and decoded separately.
Each type has its own SourceBuffer. For “audio”/“video” contents, we use regular browser-defined MSE SourceBuffers. For any other types, such as “text” and “image”, we defined custom SourceBuffers implementation adapted to these type of contents.
We then create a different Stream for each type. Each will progressively download and push content of their respective type to their respective SourceBuffer:
- AUDIO STREAM -
|====================== |
- VIDEO STREAM -
|================== |
- TEXT STREAM -
|======================== |
- IMAGE STREAM -
|==================== |
(the |
sign delimits the temporal start and end of the buffer linked to a
given Stream, the =
sign represent a pushed segment in the corresponding
SourceBuffer)
Native SourceBuffers
SourceBuffers created for the audio and/or video types are called native SourceBuffers. This is because their management is managed by the browser, hence it’s a “native” implementation. SourceBuffers for any other possible types (for example “text” and “image”) are called custom SourceBuffers. This is because their management is done by the RxPlayer, to emulate the native behavior.
Native SourceBuffers have several differences with the custom ones, especially:
-
They are managed by the browser where custom ones are implemented in JS. As such, they must obey to various browser rules, among which:
-
They cannot be lazily created as the content plays. We have to initialize all native SourceBuffers beforehand.
-
They have to be linked to a specific codec.
-
They have to be added to the MediaSource
-
They have to be added to the MediaSource after the media HTMLElement has been linked to the MediaSource
-
-
They are in a way more “important” than custom ones. If a problem happens with a native SourceBuffer, we interrupt playback. For a custom one, we can just deactivate the SourceBuffer for the content.
For example, a problem with subtitles would just disable those with a warning. For a video problem however, we fail immediately.
-
They affect buffering when custom SourceBuffers do not (no text segment for a part of the content means we will just not have subtitles, no audio segment means we will completely stop to await them)
-
They affect various API linked to the media element in the DOM. Such as
HTMLMediaElement.prototype.buffered
. Custom SourceBuffers do not.
Due to these differences, native SourceBuffers are often managed in a less permissive way than custom ones:
-
They will be created at the very start of the content
-
An error coming from one of them will lead us to completely stop the content on a fatal error
PeriodStreams
The DASH streaming technology has a concept called Period. Simply put, it allows to set various types of content successively in the same manifest.
For example, let’s take a manifest describing a live content with chronologically:
- an english TV Show
- an old italian film with subtitles
- an American film with closed captions.
Example:
08h05 09h00 10h30 now
|==================|===========================|===================|
TV Show Italian Film American film
Those contents are drastically different (they have different languages, the american film might have more available bitrates than the old italian one).
Moreover, even a library user might want to be able to know when the italian film is finished, to report about it immediately in a graphical interface.
As such, they have to be considered separately - in a different Period:
Period 1 Period 2 Period 3
08h05 09h00 10h30 now
|==================|===========================|===================|
TV Show Italian Film American film
In the RxPlayer, we create one PeriodStream per Period and per type.
PeriodStreams are automatically created/destroyed during playback. The job of a single PeriodStream is to process and download optimally the content linked to a single Period and to a single type:
- VIDEO BUFFER -
PERIOD STREAM
08h05 09h00
|========= |
TV Show
- AUDIO BUFFER -
PERIOD STREAM
08h05 09h00
|============= |
TV Show
- TEXT BUFFER -
PERIOD STREAM
08h05 09h00
|====== |
TV Show
To allow smooth transitions between them, we also might want to preload content defined by a subsequent Period once we lean towards the end of the content described by the previous one. Thus, multiple PeriodStreams might be active at the same time:
+---------------------------- AUDIO ----------------------------------+
| |
| PERIOD STREAM 1 PERIOD STREAM 2 PERIOD STREAM 3 |
| 08h05 09h00 10h30 now |
| |============= |================= |================ | |
| TV Show Italian Film American film |
+-------------------------------------------------------------------------+
+------------------------------ VIDEO --------------------------------+
| |
| PERIOD STREAM 1 PERIOD STREAM 2 PERIOD STREAM 3 |
| 08h05 09h00 10h30 now |
| |===== |=== |=== | |
| TV Show Italian Film American film |
+-------------------------------------------------------------------------+
+------------------------------ TEXT ---------------------------------+
| |
| PERIOD STREAM 1 PERIOD STREAM 2 PERIOD STREAM 3 |
| 08h05 09h00 10h30 now |
| (NO SUBTITLES) |========================= |================= | |
| TV Show Italian Film American film |
+-------------------------------------------------------------------------+
Multi-Period management
The creation/destruction of PeriodStreams is actually done in a very precize and optimal way, which gives a higher priority to immediate content.
To better grasp how it works, let’s imagine a regular use-case, with two periods for a single type of buffer:
Let’s say that the PeriodStream for the first Period (named P1) is currently actively downloading segments (the “^” sign is the current position):
P1
|==== |
^
Once P1 is full (it has no segment left to download):
P1
|======|
^
We will be able to create a new PeriodStream, P2, for the second Period:
P1 P2
|======| |
^
Which will then also download segments:
P1 P2
|======|== |
^
If P1 needs segments again however (e.g. when the bitrate or the language is changed):
P1 P2
|=== |== |
^
Then we will destroy P2, to keep it from downloading segments:
P1
|=== |
^
Once P1, goes full again, we re-create P2:
P1 P2
|======|== |
^
Note that we still have the segment pushed to P2 available in the corresponding SourceBuffer
When the current position go ahead of a PeriodStream (here ahead of P1):
P1 P2
|======|=== |
^
This PeriodStream is destroyed to free up ressources:
P2
|=== |
^
When the current position goes behind the first currently defined PeriodStream:
P2
|=== |
^
Then we destroy all previous PeriodStreams and [re-]create the one needed:
P1
|======|
^
In this example, P1 is full (as we already downloaded its segments) so we also can re-create P2, which will also keep its already-pushed segments:
P1 P2
|======|=== |
^
For multiple types of buffers (example: audio and video) the same logic is repeated (and separated) as many times. An audio PeriodStream will not influence a video one:
--------------------------- AUDIO --------------------------------
Period 1 Period 2
|================|============= |
^
--------------------------- VIDEO --------------------------------
Period 1
|======= |
^
---------------------------- TEXT --------------------------------
Period 1 Period 2 Period 3
|================| (NO SUBTITLES) |================ |
^
At the end, we should only have PeriodStream[s] for consecutive Period[s]:
- The first chronological one is the one currently seen by the user.
- The last chronological one is the only one downloading content.
- In between, we only have full consecutive PeriodStreams.
Communication with the API
Any “Stream” communicates to the API about creations and destructions of
PeriodStreams respectively through "periodStreamReady"
and
"periodStreamCleared"
events.
When the currently seen Period changes, an activePeriodChanged
event is
sent.


Paul is a student at UC San Diego majoring in Cognitive Science with a specialization in Human Computer Interaction while also minoring in Interdisciplinary Computing and Media. He has previously interned at ON Semiconductor and worked briefly as a freelancer for Tantiv4. John Hennessy is the president of Stanford University. He takes HCI classes in his spare time.


Sales Performance Dashboard
Introduction
This project case is about a car distributor company who wants to make a dashboard website to see the sales performance since the start of its business until the last day of 2020. They want to see how much revenue they have up until the last day of 2020, what's the top selling car, product availability, and the details of revenue such as monthly revenue or yearly revenue. The first thing you should know is when I got this project, I haven't had complex knowledge about HTML, CSS, and JS. I even don't know yet about bootstrap or any other library that can help me creating website design. In fact, at that time I was just beginning learning the fundamentals about HTML, CSS, and JS.
Concept
In this project I didn't do all tasks by myself. I have a team to work with and the first concept of dashboard design was made by my teammate. The first look of the dashboard website was sketched manually. There's 5 main element that we are going to show such as Total Revenue, Average weekly sales revenue, Top selling product category, Product availability, and revenue comparison between 2 different year. The type of charts are mostly already defined, but some are not. And about the data that we will use to be visualized in the dashboard, we decided to make data dummies which was created with Mockaroo and exported into .csv file.
Implementation
The implementation part was very hard for me since I didn't have much knowledge about using HTML, CSS, JS, and even Google Charts. I spent hours staring on my monitor trying to configure how to make an object behaves just like what I wanted. But I don't regret those moments because that's a process I have to face to be a better programmer. And in the end, I managed to create the dashboard although it is still very old fashioned and not that dynamic. There are some charts that can be filtered with the year such as This Year(2020) vs (2019/2018/2017/2016) and the Average Monthly Revenue (2020/2019/2018/2017/2016). And every changes made, an animation will show up.


### Responses
A response to an Acquire game request contains whether the request succeeded and a message describing either the resulting action that occured or a description on why the request failed.
Examples:
A response to a successful PlaceTile request for player Odo.
{
"success": true,
"message": "odo placed tile 7-A which starts a merger"
}
A response to a failed DrawTile request for player Odo.
{
"success": false,
"message": "DrawTile request not accepted in state GameOver"
}
### Requests
An Acquire game may receive 9 types of requests:
* StartGame
- the player starts the game.
* AcceptMoney
- the player accepts a payment of money.
* AcceptStock
- the player accepts a stock.
* PlaceTile
- the player places a tile from their hand.
* BuyStock
- the player may buy stocks
* ChooseHotel
- the player chooses a hotel.
* DrawTile
- the player draws a tile from the draw pile.
* HandleStocks
- the player handles his defunct stocks by either trading, selling, or keeping them.
* EndGame
- the player ends the game.
#### StartGame Request
This request starts an Acquire game. It is not accepted by any of the Acquire states. Instead, it is a placeholder for the transition from non-existence to the DrawTurnTile state.
Example:
A start game request by player Odo.
{
"type": "start_game",
"player": "odo"
}
#### AcceptMoney Request
This request accepts a payment of money from the bank. It is used when receiving merger bonuses or asset payouts.
* Acquire States
- PayBonuses
- EndGamePayout
Example:
An accept money request by player Odo.
{
"type": "accept_money",
"player": "odo"
}
#### AcceptStock Request
This request accepts a stock from the bank. It is used when receiving a free stock for founding a hotel.
* Acquire States
- FoundersStock
Example:
An accept stock request by player Odo.
{
"type": "accept_stock",
"player": "odo"
}
#### PlaceTile Request
This request places a tile from a player's hand onto the board.
* Acquire States
- PlaceTurnTile
- PlaceTile
Example:
A request to place tile 12-B on the board by player Odo.
{
"type": "place_tile",
"player": "odo",
"tile": "12-B"
}
#### BuyStock Request
This request purchases stock from the bank.
* Acquire States
- BuyStock
Examples:
A request to buy no stocks by player Odo.
{
"type": "buy_stock",
"player": "odo",
"stocks": {}
}
A request to buy 2 festival stocks and 1 continental stock by player Odo.
{
"type": "buy_stock",
"player": "odo",
"stocks": {
"festival": 2,
"continental": 1
}
}
#### ChooseHotel Request
This request chooses one of the hotels in the game. It is used when starting a hotel and choosing hotels during the merger process.
* Acquire States
- StartHotel
- ChooseSurvivingHotel
- ChooseDefunctHotel
Example:
A request choosing the worldwide hotel by player Odo.
{
"type": "choose_hotel",
"player": "odo",
"hotel": "worldwide"
}
#### DrawTile Request
This request draws a tile from the draw pile.
* Acquire States
- DrawTurnTile
- DrawInitialTiles
- DrawTile
Example:
A request to draw a tile by player Odo.
{
"type": "draw_tile",
"player": "odo"
}
#### HandleStocks Request
This request handles the defunct hotel stocks in a merger, specifying the number to trade, sell, and keep.
* Acquire States
- HandleDefunctHotelStocks
Example:
A request to trade 6 stocks, sell 3 stocks, and keep 4 stocks of the defunct hotel by player Odo.
{
"type": "handle_stocks",
"player": "odo",
"trade": 6,
"sell": 3,
"keep": 4
}
#### EndGame Request
This request ends the game. The game will only be ended if the right conditions apply.
* Acquire States
- PlaceTile
- DrawTile
Example:
A request to end the game by player Odo.
{
"type": "end_game",
"player": "odo"
}


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ENIAC
Calculator and Converter
This is the project by ENIAC. We have a Calculator and Converter. In the calculator you can easily calculate very large numbers easily in the fraction of seconds.In the converter you can convert binary, decimal, hexadecimal and octal to each other.
Calculator
Converter


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--- layout: default ---
Stevenson is a micro-CMS leveraging GitHub for storing the website content and the Jekyll templating engine for templating and site configuration.
Manage your blog or website entirely through GitHub and Stevenson. Instead of dealing with a complicated backend.


|
ActionComponents
04.05.00
Customizable UI and time-saving tools for iOS development with Xamarin and Visual Studio.
|
This collection holds all buttons within a given section (top, middle or bottom) of a ActionComponents.ACNavBar and has properties to control the appearance of new ActionComponents.ACNavBarButtons added to the collection. More...
Public Member Functions | |
| new IEnumerator | GetEnumerator () |
| Gets the enumerator. More... | |
| bool | MoveNext () |
| Moves to the next item. More... | |
| void | Reset () |
| Reset the enumeration to zero More... | |
| ACNavBarButtonCollection (ACNavBar parent, nfloat top) | |
| Initializes a new instance of the T:ActionComponents.ACNavBarButtonCollection class. More... | |
| ACNavBarButton | AddView (UIImage image, bool autoDispose) |
| Adds a view with the given image and auto dispose state. More... | |
| ACNavBarButton | SelectedForGroup (string group) |
| Returns the button currently selected in a group of buttons. More... | |
| ACNavBarButton | AddView (string imageName, bool autoDispose) |
| Adds a view with the given image filename and auto disposing state. More... | |
| ACNavBarButton | AddView (UIImage image, string viewName, bool autoDispose) |
| Adds a view with the given image, view name and auto disposing state. More... | |
| ACNavBarButton | AddView (string imageName, string viewName, bool autoDispose) |
| Adds a view with the given image filename, view name and auto disposing state. More... | |
| ACNavBarButton | AddView (UIImage image, string storyboardName, string viewName, bool autoDispose) |
| Adds a view with the given image, storyboard name, view name and auto disposing state. More... | |
| ACNavBarButton | AddView (string imageName, string storyboardName, string viewName, bool autoDispose) |
| Adds a view with the given image filename, storyboard name, view name and auto disposing state. More... | |
| ACNavBarButton | AddTool (UIImage image) |
| Adds a tool to the bar with the given image More... | |
| ACNavBarButton | AddTool (string imageName) |
| Adds a tool to the bar with the given image filename. More... | |
| ACNavBarButton | AddTool (UIImage image, ACNavBarButtonActionDelegate action) |
| Adds a tool to the bar with the given image and action. More... | |
| ACNavBarButton | AddTool (string imageName, ACNavBarButtonActionDelegate action) |
| Adds a tool to the bar with the given image filename and action. More... | |
| ACNavBarButton | AddSelection (string group, UIImage image) |
| Adds a selection to the given group with the given image More... | |
| ACNavBarButton | AddSelection (string group, string imageName) |
| Adds a selection to the group with the given image filename. More... | |
| ACNavBarButton | AddSelection (string group, UIImage image, ACNavBarButtonActionDelegate action) |
| Adds a selection to the given group with the given image and action. More... | |
| ACNavBarButton | AddSelection (string group, string imageName, ACNavBarButtonActionDelegate action) |
| Adds a selection to the given group with the given image filename and action. More... | |
| ACNavBarButton | AddSelection (string group, UIImage image, UIImage selectedImage) |
| Adds a selection with the given group with the image and selected image. More... | |
| ACNavBarButton | AddSelection (string group, string imageName, string selectedImageName) |
| Adds a selection to the given group with the image filename and selected image filename. More... | |
| ACNavBarButton | AddSelection (string group, UIImage image, UIImage selectedImage, ACNavBarButtonActionDelegate action) |
| Adds a selection to the given group with the image, selected image and action. More... | |
| ACNavBarButton | AddSelection (string group, string imageName, string selectedImageName, ACNavBarButtonActionDelegate action) |
| Adds the selection to the given group with the image filename, selected image filename and action. More... | |
| void | Add (ACNavBarButton button) |
| Adds the given Nav Bar Button to the collection. More... | |
| void | Remove (ACNavBarButton button) |
| Remove the specified button from the collection. More... | |
| void | RemoveAt (int n) |
| Removes the button at the given location from the collection. More... | |
| void | Clear () |
| Removes all buttons from the collection. More... | |
| void | AdjustContainerHeight () |
| Adjusts the height of the container. More... | |
Public Attributes | |
| object | tag |
| [OPTIONAL] Tag to hold user information about this collection. More... | |
Properties | |
| object | Current [get] |
| Gets the current item in the enumeration. More... | |
| ACNavBarButton | this[int index] [get, set] |
| Gets or sets the T:ActionComponents.ACNavBarButton at the specified index. More... | |
| int | Count [get] |
| Gets the count of buttons in the collection. More... | |
| ACNavBar | NavBar [get, set] |
| ACNavBarButtonAppearance | ButtonAppearanceEnabled [get, set] |
| Gets or sets the button appearance enabled values More... | |
| ACNavBarButtonAppearance | ButtonAppearanceDisabled [get, set] |
| Gets or sets the button appearance disabled values More... | |
| ACNavBarButtonAppearance | ButtonAppearanceSelected [get, set] |
| Gets or sets the button appearance selected values More... | |
| bool | SuspendUpdates [get, set] |
| Gets or sets a value indicating whether this T:ActionComponents.ACNavBarButtonCollection has suspend updates. More... | |
Events | |
| ACNavBarCollectionModifiedDelegate | CollectionModified |
| Occurs when collection modified. More... | |
| ACNavBarPointerPositionDelegate | PointerPositionChanged |
| Occurs when pointer position changed. More... | |
This collection holds all buttons within a given section (top, middle or bottom) of a ActionComponents.ACNavBar and has properties to control the appearance of new ActionComponents.ACNavBarButtons added to the collection.
ActionComponents.ACNavBarButtonCollections can not be directly created but can be interacted with via the parent containing ActionComponents.ACNavBar
| ActionComponents.ACNavBarButtonCollection.ACNavBarButtonCollection | ( | ACNavBar | parent, |
| nfloat | top | ||
| ) |
Initializes a new instance of the T:ActionComponents.ACNavBarButtonCollection class.
| parent | Parent. |
| top | Top. |
| void ActionComponents.ACNavBarButtonCollection.Add | ( | ACNavBarButton | button | ) |
Adds the given Nav Bar Button to the collection.
| button | Button. |
| ACNavBarButton ActionComponents.ACNavBarButtonCollection.AddSelection | ( | string | group, |
| UIImage | image | ||
| ) |
Adds a selection to the given group with the given image
| group | Group. |
| image | Image. |
| ACNavBarButton ActionComponents.ACNavBarButtonCollection.AddSelection | ( | string | group, |
| string | imageName | ||
| ) |
Adds a selection to the group with the given image filename.
| group | Group. |
| imageName | Image name. |
| ACNavBarButton ActionComponents.ACNavBarButtonCollection.AddSelection | ( | string | group, |
| UIImage | image, | ||
| ACNavBarButtonActionDelegate | action | ||
| ) |
Adds a selection to the given group with the given image and action.
| group | Group. |
| image | Image. |
| action | Action. |
| ACNavBarButton ActionComponents.ACNavBarButtonCollection.AddSelection | ( | string | group, |
| string | imageName, | ||
| ACNavBarButtonActionDelegate | action | ||
| ) |
Adds a selection to the given group with the given image filename and action.
| group | Group. |
| imageName | Image name. |
| action | Action. |
| ACNavBarButton ActionComponents.ACNavBarButtonCollection.AddSelection | ( | string | group, |
| UIImage | image, | ||
| UIImage | selectedImage | ||
| ) |
Adds a selection with the given group with the image and selected image.
| group | Group. |
| image | Image. |
| selectedImage | Selected image. |
| ACNavBarButton ActionComponents.ACNavBarButtonCollection.AddSelection | ( | string | group, |
| string | imageName, | ||
| string | selectedImageName | ||
| ) |
Adds a selection to the given group with the image filename and selected image filename.
| group | Group. |
| imageName | Image name. |
| selectedImageName | Selected image name. |
| ACNavBarButton ActionComponents.ACNavBarButtonCollection.AddSelection | ( | string | group, |
| UIImage | image, | ||
| UIImage | selectedImage, | ||
| ACNavBarButtonActionDelegate | action | ||
| ) |
Adds a selection to the given group with the image, selected image and action.
| group | Group. |
| image | Image. |
| selectedImage | Selected image. |
| action | Action. |
| ACNavBarButton ActionComponents.ACNavBarButtonCollection.AddSelection | ( | string | group, |
| string | imageName, | ||
| string | selectedImageName, | ||
| ACNavBarButtonActionDelegate | action | ||
| ) |
Adds the selection to the given group with the image filename, selected image filename and action.
| group | Group. |
| imageName | Image name. |
| selectedImageName | Selected image name. |
| action | Action. |
| ACNavBarButton ActionComponents.ACNavBarButtonCollection.AddTool | ( | UIImage | image | ) |
Adds a tool to the bar with the given image
| image | Image. |
| ACNavBarButton ActionComponents.ACNavBarButtonCollection.AddTool | ( | string | imageName | ) |
Adds a tool to the bar with the given image filename.
| imageName | Image name. |
| ACNavBarButton ActionComponents.ACNavBarButtonCollection.AddTool | ( | UIImage | image, |
| ACNavBarButtonActionDelegate | action | ||
| ) |
Adds a tool to the bar with the given image and action.
| image | Image. |
| action | Action. |
| ACNavBarButton ActionComponents.ACNavBarButtonCollection.AddTool | ( | string | imageName, |
| ACNavBarButtonActionDelegate | action | ||
| ) |
Adds a tool to the bar with the given image filename and action.
| imageName | Image name. |
| action | Action. |
| ACNavBarButton ActionComponents.ACNavBarButtonCollection.AddView | ( | UIImage | image, |
| bool | autoDispose | ||
| ) |
Adds a view with the given image and auto dispose state.
| image | Image. |
| autoDispose | If set to true auto dispose. |
| ACNavBarButton ActionComponents.ACNavBarButtonCollection.AddView | ( | string | imageName, |
| bool | autoDispose | ||
| ) |
Adds a view with the given image filename and auto disposing state.
| imageName | Image name. |
| autoDispose | If set to true auto dispose. |
| ACNavBarButton ActionComponents.ACNavBarButtonCollection.AddView | ( | UIImage | image, |
| string | viewName, | ||
| bool | autoDispose | ||
| ) |
Adds a view with the given image, view name and auto disposing state.
| image | Image. |
| viewName | The name of the view to load from the storyboard when the button is selected. |
| autoDispose | If set to true auto dispose. |
| ACNavBarButton ActionComponents.ACNavBarButtonCollection.AddView | ( | string | imageName, |
| string | viewName, | ||
| bool | autoDispose | ||
| ) |
Adds a view with the given image filename, view name and auto disposing state.
| imageName | Image name. |
| viewName | The name of the view to load from the storyboard when the button is selected.. |
| autoDispose | If set to true auto dispose. |
| ACNavBarButton ActionComponents.ACNavBarButtonCollection.AddView | ( | UIImage | image, |
| string | storyboardName, | ||
| string | viewName, | ||
| bool | autoDispose | ||
| ) |
Adds a view with the given image, storyboard name, view name and auto disposing state.
| image | Image. |
| storyboardName | The name of the storyboard to load the view from. |
| viewName | The name of the view to load from the storyboard when the button is selected. |
| autoDispose | If set to true auto dispose. |
| ACNavBarButton ActionComponents.ACNavBarButtonCollection.AddView | ( | string | imageName, |
| string | storyboardName, | ||
| string | viewName, | ||
| bool | autoDispose | ||
| ) |
Adds a view with the given image filename, storyboard name, view name and auto disposing state.
| imageName | Image name. |
| storyboardName | The name of the storyboard to load the view from. |
| viewName | The name of the view to load from the storyboard when the button is selected. |
| autoDispose | If set to true auto dispose. |
| void ActionComponents.ACNavBarButtonCollection.AdjustContainerHeight | ( | ) |
Adjusts the height of the container.
| void ActionComponents.ACNavBarButtonCollection.Clear | ( | ) |
Removes all buttons from the collection.
| new IEnumerator ActionComponents.ACNavBarButtonCollection.GetEnumerator | ( | ) |
Gets the enumerator.
| bool ActionComponents.ACNavBarButtonCollection.MoveNext | ( | ) |
Moves to the next item.
true
, if next was moved, false
otherwise.| void ActionComponents.ACNavBarButtonCollection.Remove | ( | ACNavBarButton | button | ) |
Remove the specified button from the collection.
| button | The button to remove. |
| void ActionComponents.ACNavBarButtonCollection.RemoveAt | ( | int | n | ) |
Removes the button at the given location from the collection.
| n | The location to remove the button from. |
| void ActionComponents.ACNavBarButtonCollection.Reset | ( | ) |
Reset the enumeration to zero
| ACNavBarButton ActionComponents.ACNavBarButtonCollection.SelectedForGroup | ( | string | group | ) |
Returns the button currently selected in a group of buttons.
| group | Group to search for. |
| object ActionComponents.ACNavBarButtonCollection.tag |
[OPTIONAL] Tag to hold user information about this collection.
|
getset |
Gets or sets the button appearance disabled values
The button appearance disabled values
Any changes to this appearance will cascade to all ActionComponents.ACNavBarButtons in this ActionComponents.ACNavBarButtonCollection
|
getset |
Gets or sets the button appearance enabled values
The button appearance enabled values
Any changes to this appearance will cascade to all ActionComponents.ACNavBarButtons in this ActionComponents.ACNavBarButtonCollection
|
getset |
Gets or sets the button appearance selected values
The button appearance selected values
Any changes to this appearance will cascade to all ActionComponents.ACNavBarButtons in this ActionComponents.ACNavBarButtonCollection
|
get |
Gets the count of buttons in the collection.
The count.
|
get |
Gets the current item in the enumeration.
The current.
|
getset |
|
getset |
Gets or sets a value indicating whether this T:ActionComponents.ACNavBarButtonCollection has suspend updates.
true
if suspend updates; otherwise, false
.
|
getset |
Gets or sets the T:ActionComponents.ACNavBarButton at the specified index.
| index | Index. |
| ACNavBarCollectionModifiedDelegate ActionComponents.ACNavBarButtonCollection.CollectionModified |
Occurs when collection modified.
| ACNavBarPointerPositionDelegate ActionComponents.ACNavBarButtonCollection.PointerPositionChanged |
Occurs when pointer position changed.


The purpose of the project was to analyze how weather changes as you get closer to the equator. To accomplish this analysis, we first pulled data from the OneWeatherMap API to assemble a dataseton over 500 cities.
After assembling the dataset, we used Matplotlib to plot various aspects of the weather vs. latitiude. Factors we looked at included: temperature, cloudiness, wind speed, and humidity. This site provides the source data and visualization created as part of the analysis, as well as explanations and descriptions of any trends and correlations witnessed.


You have a wrong address and this site do not contains any page with this url
Try with any of the links provided in the sidebar to go and check Stashy components. You can always download or go to Github and check the project as well if is this what you are looking for
Download View project on Github


Analysis - Shear¶
-
analysis.shear.
alpha_annual_avg_from_mast_alpha_matrix
(alpha_matrix)[source]¶ Returns a DataFrame of an annual alpha value from a single alpha matrix.
Parameters: - mast: an.MetMast
- Measured data from MetMast.data
Returns: - out: DataFrame
- Average alpha value from a single mast.
-
analysis.shear.
alpha_annual_profile_from_alpha_time_series
(mast_data, wind_speed_sensors=None, heights=None, match_data=True)[source]¶ Returns monthly mean alpha values from a time series of wind speeds.
Parameters: - mast_data: DataFrame
- Measured data from MetMast.data
- wind_speed_sensors: list, default all anemometers
- Specific wind speeds sensors
- heights: list
- List of the specified sensor heights
Returns: - out: DataFrame
- Mean alpha values indexed by month (annual shear profile)
-
analysis.shear.
alpha_annual_profile_from_wind_speed_time_series
(mast_data, wind_speed_sensors=None, heights=None, match_data=True)[source]¶ Returns monthly mean alpha values from a time series of wind speeds.
Parameters: - mast_data: DataFrame
- Measured data from MetMast.data
- wind_speed_sensors: list, default all anemometers
- Specific wind speeds sensors
- heights: list
- List of the specified sensor heights
Returns: - out: DataFrame
- Mean alpha values indexed by month (annual shear profile)
-
analysis.shear.
alpha_dir_profile_from_wind_speed_time_series
(mast_data, wind_dir_sensor, dir_sectors=16, wind_speed_sensors=None, match_data=True)[source]¶ Returns mean alpha values by direction bin from a time series of wind speeds.
Parameters: - mast_data: DataFrame
- Measured data from MetMast.data
- wind_dir_sensors: list
- Specific wind wind vane for directional binning
- dir_sectors: int, default 16
- Number of equally spaced direction sectors in which to bin the mean shear values
- wind_speed_sensors: list, default all anemometers
- Specific wind speeds sensors
- heights: list
- List of the specified sensor heights
Returns: - out: DataFrame
- Mean alpha values indexed by the specified number of direction bins (directional shear profile)
-
analysis.shear.
alpha_matrix_for_each_sensor_combination_from_mast_data
(mast_data, include_reverse_combinations=False)[source]¶ Returns a DataFrame of annual alpha values, indexed by sensor name, from an.MetMast.data.
Parameters: - mast_data: an.MetMast.data
- Pandas DataFrame of measured data from MetMast.data
Returns: - out: DataFrame
- Alpha values from a single mast, indexed by sensor name
-
analysis.shear.
alpha_matrix_from_mast_data
(mast_data, include_reverse_combinations=False)[source]¶ Returns a DataFrame of annual alpha values, indexed by sensor name, from an.MetMast.data.
Parameters: - mast_data: an.MetMast.data
- Pandas DataFrame of measured data from MetMast.data
Returns: - out: DataFrame
- Alpha values from a single mast, indexed by sensor name
-
analysis.shear.
alpha_mean_from_alpha_time_series
(mast_data, wind_speed_sensors=None, heights=None, match_data=True)[source]¶ Returns the mean of monthly means of the alpha time series from wind speed mast_data.
Parameters: - mast_data: DataFrame
- Measured data from MetMast.data
- wind_speed_sensors: list, default all anemometers
- Specific wind speeds sensors
- heights: list
- List of the specified sensor heights
Returns: - out: DataFrame
- Mean of monthly means of an alpha time series
-
analysis.shear.
alpha_mean_from_wind_speed_time_series
(mast_data, wind_speed_sensors=None, heights=None, match_data=True)[source]¶ Returns alpha values from the mean of monthly means of a time series of wind speeds.
Parameters: - mast_data: DataFrame
- Measured data from MetMast.data
- wind_speed_sensors: list, default all anemometers
- Specific wind speeds sensors
- heights: list
- List of the specified sensor heights
Returns: - out: DataFrame
- Alpha value from the mean of monthly means of a wind speed time series
-
analysis.shear.
alpha_time_series
(mast_data, wind_speed_sensors=None, heights=None, match_data=True)[source]¶ Returns a time series of alpha values from a time series of wind speeds.
Parameters: - mast_data: DataFrame
- Measured data from MetMast.data
- wind_speed_sensors: list
- Specific wind speeds sensors
- heights: list
- List of the specified sensor heights
Returns: - out: DataFrame
- Time series of alpha values with the same index as the input mast_data
-
analysis.shear.
check_and_return_wind_dir_data_for_shear
(mast_data, wind_dir_sensor)[source]¶ Perform checks on wind direction data for shear calculations.
-
analysis.shear.
mast_annual
(mast)[source]¶ Returns a DataFrame of annual alpha values from a single mast indexed by sensor orientation, height, and name.
Parameters: - mast: an.MetMast
- Measured data from MetMast.data
Returns: - out: DataFrame
- Alpha values from a single mast by sensor orientation and height
-
analysis.shear.
mast_annual_avg
(mast)[source]¶ Returns a DataFrame of an annual alpha value from a single mast, indexed by mast name.
Parameters: - mast: an.MetMast
- Measured data from MetMast.data
Returns: - out: DataFrame
- Average alpha value from a single mast.
-
analysis.shear.
mast_annual_profile_by_orient
(mast)[source]¶ Returns a DataFrame of annual alpha profiles from a single mast for each sensor orientation.
Parameters: - mast: an.MetMast
- Measured data from MetMast.data
Returns: - out: DataFrame
- Annual alpha profiles for each sensor orientation, indexed by month
-
analysis.shear.
mast_directional
(mast, wind_dir_sensor=None, dir_sectors=16, wind_speed_sensors=None)[source]¶ Returns a DataFrame of annual alpha values from a single mast, indexed by direction bin. Alpha only calcualted for time steps with valid measurements from each wind speed sensor.
Parameters: - mast: an.MetMast
- Measured data from MetMast.data
- wind_dir_sensors: list, default mast.primary_vane
- Specific wind wind vane for directional binning
- dir_sectors: int, default 16
- Number of equally spaced direction sectors in which to bin the mean shear values
- wind_speed_sensors: list, default all anemometers
- Specific wind speeds sensors
Returns: - out: DataFrame
- Mean alpha values indexed by the specified number of direction bins (directional shear profile)
-
analysis.shear.
mast_directional_by_orient
(mast, wind_dir_sensor=None, dir_sectors=16)[source]¶ Returns a DataFrame of annual alpha values from a single mast, indexed by direction bin. Alpha only calcualted for time steps with valid measurements from each wind speed sensor.
Parameters: - mast: an.MetMast
- Measured data from MetMast.data
- wind_dir_sensors: list, default mast.primary_vane
- Specific wind wind vane for directional binning
- dir_sectors: int, default 16
- Number of equally spaced direction sectors in which to bin the mean shear values
Returns: - out: DataFrame
- Mean alpha values indexed by the specified number of direction bins (directional shear profile)
-
analysis.shear.
mast_monthly_by_orient
(mast)[source]¶ Returns a DataFrame of monthly time series of alpha values from a single mast for each sensor orientation. Alpha only calcualted for time steps with valid measurements from each wind speed sensor.
Parameters: - mast: an.MetMast
- Measured data from MetMast.data
Returns: - out: DataFrame
- Mean alpha values for each sensor orientation, indexed by month
-
analysis.shear.
site_annual
(masts)[source]¶ Returns a DataFrame of annual alpha values from a multiple site masts, indexed by mast, sensor orientation, and height.
Parameters: - masts : list
- List of MetMast objects from which all anemometer data is extracted
Returns: - out: DataFrame
- Alpha values from multiple site masts by mast, sensor orientation, and height
-
analysis.shear.
site_annual_avg
(masts)[source]¶ Returns a DataFrame of annual alpha values from multiple site masts, indexed by mast.
Parameters: - masts : list
- List of MetMast objects from which all anemometer data is extracted
Returns: - out: DataFrame
- Alpha values from multiple site masts, indexed by mast
-
analysis.shear.
site_directional
(masts, dir_sectors=16)[source]¶ Returns a DataFrame of annual alpha values from a single mast, indexed by direction bin. Alpha only calcualted for time steps with valid measurements from each wind speed sensor.
Parameters: - masts : list
- List of MetMast objects from which all anemometer data is extracted
- dir_sectors: int, default 16
- Number of equally spaced direction sectors in which to bin the mean shear values
Returns: - out: DataFrame
- Mean alpha values for each mast indexed by the specified number of direction bins (directional shear profile)
-
analysis.shear.
site_mean
(masts)[source]¶ Returns a DataFrame of the mean annual alpha value from each site masts. Uses all avaialble anemometer combinations.
Parameters: - masts : list
- List of MetMast objects from which all anemometer data is extracted
Returns: - out: DataFrame
- Average annual alpha values from each site mast using all available anemometer combinations
-
analysis.shear.
site_mean_from_results
(shear_results)[source]¶ Returns a DataFrame of the mean annual alpha value from each site mast from a previously run shear analysis. This allows the user to choose the heights and oreintations used within the final calculated alpha value.
Parameters: - shear results : DataFrame
- DataFrame of shear results from shear.shear_analysis_annual or shear.shear_analysis_site
Returns: - out: DataFrame
- Average annual alpha values from each site mast using all the provided anemometer combinations


College of Engineering Guindy (CEG), Chennai, a premier institution for post-secondary education in India, has been a renowned center for academic and professional excellence. The rectangular scarlet structure of one of the country’s oldest technical institute effectively encases not just an architecturally fine courtyard and corridors, but also the evolution of technical education in the city.What started as a survey school with eight students in 1794 at Fort St. George, shifted to several campuses including Kalas Mahal in Chepauk before moving to its current premises on what is today the Anna University campus in 1920. The original survey school became a civil engineering school, Civil Engineering College and an engineering college before becoming the College of Engineering, Guindy.
THE INDUSTRIAL ENGINEERING programs at Anna University, as a specialization under the faculty of Mechanical Engineering has been given due recognition by forming into a division under the Department of Management studies, in the year 1 973. The same division has been upgraded to a full-fledged Department of Industrial Engineering in the year 2002. Our vision is to emerge as a center of excellence in the field of Industrial Engineering where the excellent practices of teaching, learning and research synergize
SOCIETY OF INDUSTRIAL ENGINEERS (SIE) is a non-profit, completely student run organization that aims to widen the technical horizon of the student community. We do this by helping students turn promising ideas into projects and provide assistance to convert projects to real time products. Industrial Engineers around the world are known for their innovative optimization skills, and the Department of Industrial Engineering, CEG, is one of the best in the entire nation. It is in celebration of this culture of innovation and optimization that students of our department organize annually, INDCON - an International Techno - Management fest, which will be held from March 2nd - March 4th, 2017.


|
| Contents | |
| Introduction |
The core Music Object API is comprised of three core components: Basic, Advanced, and Compatibility. These core components are available separately in the form of JavaScript files. Each core component provides a certain subset of the capabilities of the core Music Object API ("music-object.js"), so when using the separate core component JavaScript files, the core components may be used together in different combinations, depending on the needs of the sonification job at hand.
Dividing the core Music Object API into logical core components provides authors with a way to potentially reduce the load time of sonified pages. For instance, if a particular sonified Web site was only targeted to an audience that already had the Beatnik Player installed, or if a gateway page for the site ensured that all those who entered already had the Player installed, then using the compatibility core component in sonified pages of the site would be unnecessary. So, one could then use only the basic and advanced core components. For convenience, core components can also be combined together into a Music Object Suite, as per the specific needs of any given sonification job.
Using the Music Object core components is easy. Components are simply JavaScript files like the "music-object.js" file that can be sourced into sonified pages as needed. In the following example, the basic and compatibility core components are being used...
<TITLE>Page Using Music Object Core Components</TITLE>

|
In another example, if none of the features of the compatibility component need to be used because it is expected that all the visitors to a sonified Web page will already have the Beatnik Player installed, and none of the features of the advanced component need to be used because the page sonification is only making use of Music Object's play and stop methods, then only the basic component needs to be sourced in. The HTML for such a page would look as follows...
<TITLE>Page Using Just the Basic Core Component</TITLE>

|
When all three core components are sourced into a page as separate JavaScript files, this has the same effect as sourcing in the standard "music-object.js" file.
So, in other words, the following code...
   |
...has the same effect as just...
 |
Technically, it's not incorrect to source in all three core components as separate JavaScript files. But, it's usually better to reduce the number of connections that a page makes to the server to retrieve resources, as each connection can incur a slight delay in page loading. In most cases, sourcing in all three core components is inefficient, unless the majority of the sonified pages in a Web site use only some of the core components, and only a few of the pages need to use all three core components. In this case, two of the core components may already have been cached by the time a page is loaded that is using all three components, and then the extra load time will only be for the additional component that is not yet cached, as opposed to loading in the entire "music-object.js" file.
If you are using the core components in sonification of a Web site, then you will need to use your own judgement in deciding if it's more efficient overall for your site to source in all three components for pages that need the full Music Object API, or more efficient to source in the "music-object.js" file in such cases.
| Rules for Sourcing in Core Components |
The following rules can be used to check that you are sourcing in the core components correctly. If the way you are sourcing in the core components complies with all of the following rules, then the core components will be able to function correctly.
The following notes should act as a further guide when using core components...
| Getting the Core Components |
If you have the downloaded version of this documentation, then you can simply grab the core component JavaScript files from the documentation's "javascript" folder. The files are named "music-object-c-basic", "music-object-c-advanced", and "music-object-c-compatibility".
Alternatively, you can use the links provided below. To get one of the core component JavaScript files from the list, simply right-click on its link (click-and-hold for Mac users). Then, from the menu that pops up, select the 'Save Link As...' or 'Save Target As...' option and save the file into an appropriate folder of the local copy of your Web site. Make sure to save the file with the correct filename (as shown in the list).
| Music Object Component - Basic |
The basic core component provides the most basic and limited set of functionality that may be required in very simply sonification, such as the ability to play, pause, and stop music for a Music Object instance, as well as the ability to set an instance's playback volume. The basic component also provides the foundation for the advanced component, and the basic component is always needed when the advanced component is used. On the other hand, the compatibility component, which can stand alone, does not require the basic component.
There are typically only three cases where the basic component will be used...
For a breakdown of the exact methods and properties defined by the basic core component, see the section How Features are Divided Between the Components.
To get the basic component's JavaScript file, see the section Getting the Core Components.
| Music Object Component - Advanced |
The advanced component exposes all of the really powerful features of the Music Object API. If realtime music remixing is your thing, then this is the component for you. The majority of the core Music Object API is implemented in this component.
Because the basic component provides the foundation for the advanced component, it is not possible to use the advanced component without the basic component being sourced in. Not only must the basic component be sourced into pages that use the advanced component, but the basic component must be sourced in before the advanced component.
Consider the following examples. The first example below is incorrect because the advanced component needs the foundation provided by the basic component to build upon. The advanced component cannot stand alone.
| INCORRECT |
 |
The next example, directly below, is also incorrect. The basic component must be sourced in first, because the advanced component needs to build upon the foundation provided by the basic component.
| INCORRECT |
  |
Whereas, the previous two examples were incorrect, the final example below is correct because the basic component is sourced in first, defining the foundation that the advanced component builds upon when it is sourced into the page.
| CORRECT |
  |
For a breakdown of the exact methods and properties defined by the advanced core component, see the section How Features are Divided Between the Components.
To get the advanced component's JavaScript file, see the section Getting the Core Components.
| Music Object Component - Compatibility |
The compatibility component provides all the compatibility features of the core Music Object API. Using the features in this component, you can gain complete control over how your sonified content behaves when users don't have the Beatnik Player already installed.
Unlike the advanced component, the compatibility component can stand alone and does not require that the basic component be sourced in first. This makes it ideal for use on a gateway page of a sonified Web site that is intended to channel visitors who don't have the Beatnik Player installed through the installation process. If the compatibility test is only to be performed once - on the site's gateway page - then all other sonified pages in the site do not need to use the compatibility component.
Although the compatibility component can stand alone, if you do use it with the other core components, then it must be sourced in after the basic component. Consider the following examples. The first example, below, is incorrect because the compatibility component is sourced in first. When the basic component is used, then the basic component must always be the first component sourced into the page.
| INCORRECT |
  |
The second example, below, is correct because the basic component must never be sourced in after the other core components. In this case, it is correctly sourced in first.
| CORRECT |
  |
For a breakdown of the exact methods and properties defined by the compatibility core component, see the section How Features are Divided Between the Components.
To get the compatibility component's JavaScript file, see the section Getting the Core Components.
| How Features are Divided Between the Components |
The following table illustrates how the public authoring API features (methods and properties) of the core Music Object API are broken up between the three core components. Each column of the table represents a core component, and each row in the table represents a type of feature of the Music Object API (instance methods, static methods, instance properties, and static properties).
|
| Building Components Into a Suite |
It is possible to build a custom Music Object suite that combines only those core components that are absolutely necessary for your specific circumstances. By excluding a core component that may not be necessary under your circumstances, you can reduce the size of the JavaScript file that needs to be sourced into your sonified pages. For more information, consult the section Making a Custom Music Object Suite


What is environmental justice (EJ)?
The EPA defines EJ as "the fair treatment and meaningful involvement of all people regardless of race, color, national origin, or income with respect to the development, implementation, and enforcement of environmental laws, regulations, and policies."
For Kentuckians for the Commonwealth (KFTC), it also begins with the recognition that people of color and low income communties have systemically faced the greatest exposure to pollution and its harmful health effects. It requires a commitment that clean energy solutions need to prioritize these communities that stand the most to benefit from a clean energy transition.
About the analysis:
The goal of an Environmental Justice Analysis is to identify the areas and communities that are most affected by pollution, poor health, economic inequality, and racial injustice.
The Kentuckians for the Commonwealth (KFTC) EJ Analysis examines the relationships between cumulative pollution, exposure-related health problems, and demographic vulnerabilities in Kentucky using a broad set of indicators. KFTC collected data from all these categories, creating a KY-specific EJ database. KFTC used a geospatial and statistical analysis to identify the most vulnerable communities in Kentucky and explore the relationships between pollution, health, and demographics in our state.
For a summary of the analysis, including results, read the KFTC EJ Analysis Executive Summary.
For details on the analysis, datasets, methods, and processes, see the KFTC EJ Analysis Technical Documentation.
About the map:
This map displays 4 datasets from the KFTC EJ Analysis: coal-fired power plants, percent minority (per county, 2014), percent under the poverty level (per county, 2014), and Cumulative Pollution (an aggregate of all 15 pollution indicators used in the analysis).
For a summary of the analysis, read the KFTC EJ Analysis Executive Summary.
For details on the analysis, datasets, methods, and processes, see the KFTC EJ Analysis Technical Documentation.
The map was developed with JavaScript using the Leaflet.js library.


Cambridge Professor: Bitcoin is an Economic Miracle
"If you're only paying a $2 transaction fee on a piece of art that's worth tens of thousands, the fee is basically zero. But if you're paying two or three percent on a piece of art of that value, then the numbers can go up quite a bit.”
Dr. Garrick Hileman, an economic historian at the University of Cambridge and the London School of Economics, explained in an interview with CNN that Bitcoin is nothing short of an economic miracle.
Hileman stated, "Many economists dismissed it as a flawed form of money, something that could never achieve the level of adoption that it has. Today we estimate 5 to 10 million unique active users of cryptocurrencies, and in my opinion that's nothing short of a minor economic miracle."
What Bitcoin represents
Bitcoin is the world’s first form of decentralized money; a store of value that is censorship-resistant and that is immutable against manipulation by central entities, authorities and governments.
The decentralized structure and peer-to-peer protocol of Bitcoin are unique in that they allow the Bitcoin network to operate as its own economy, without intermediaries and third party service providers. While some central banks and financial institutions have begun to fear such aspects of Bitcoin, the Bank of Finland encouraged economists to study the “marvelous structure” of Bitcoin.
In a paper entitled “Monopoly without a monopolist: An economic analysis of the Bitcoin payment system,” Bank of Finland researchers wrote:
“Bitcoin is not regulated. It cannot be regulated. There is no need to regulate it because as a system it is committed to the protocol as is and the transaction fees it charges the users are determined by the users independently of the miners’ efforts. Bitcoin’s design as an economic system is revolutionary and therefore would merit an economist’s attention and scrutiny even if it had not been functional. Its apparent functionality and usefulness should further encourage economists to study this marvelous structure.”
Global impact
As mentioned above, Hileman described Bitcoin as an economic miracle, but a “minor” one. However, at this stage in which the market valuation of Bitcoin has surpassed that of major banks at $166 bln and the liquidity of Bitcoin is higher than that of most stock markets, it is difficult to justify any aspect of Bitcoin as “minor.”
Bitcoin has had a major impact on the global financial system over the past eleven months, and it will continue to transform the finance industry at a rapid pace. Already, institutional investors have begun to move into the Bitcoin market. Coinbase CEO Brian Armstrong revealed that approximately $10 bln in institutional money are awaiting to be invested in digital currencies such as Bitcoin.
“Over 100 hedge funds have been created in the past year exclusively to trade digital currency. An even greater number of traditional institutional investors are starting to look at trading digital assets (including family offices, sovereign wealth funds, traditional hedge funds, and more). By some estimates there is $10 bln of institutional money waiting on the sidelines to invest in digital currency today,” wrote Armstrong.
Economic miracle
Naturally, as major hedge funds and large-scale investment banks shift towards Bitcoin, general consumers and casual investors will follow. Then, Bitcoin will no longer be a minor economic miracle but a major one, which will inevitably shape the finance sector in the long-term.
Leading economies like the US, Japan and South Korea have already recognized Bitcoin as a legal currency and store of value, providing regulations to cryptocurrency exchanges, businesses and investors.
As a currency, Hileman also noted that Bitcoin is increasingly being used in the luxury markets, to process or settle large transactions without the expensive and inefficient services of banks.
"If you're only paying a $2 transaction fee on a piece of art that's worth tens of thousands, the fee is basically zero. But if you're paying two or three percent on a piece of art of that value, then the numbers can go up quite a bit,” added Hileman.”
Author: Joseph Young
Source of this article: https://cointelegraph.com/news/bitcoin-is-an-economic-miracle-cambridge-professor
「 Declaration: Please indicate the source if repost the article in UNITIMES. Opinions expressed by Contributors belong to themselves. 」


Welcome,
My name is Brandon Castellanos. I'm a software engineer with a B.S. in Computer Engineering from the University of Southern California.
Few things get me as excited as creating simple solutions to complex problems. Philosophical talks with Uber drivers and eating Cheez-Its get pretty close.
Cheers,
Brandon Castellanos