Interim Report of
Capstone Project
(Pneumonia
Detection Challenge)
Essa Ibrahim Shariff, Duvvuru Lokesh, Debolina Dutta,
Bibhunandan Mohanta and Mohammed
Hisham M
PROBLEM STATEMENT
In
medicine, the next frontier for AI is anomaly localization in medical imaging.
Localization of anomalies refers to both predicting anomalies and their
boundaries. Automatic detection algorithms to locate inflammation in an image
can help physicians make better clinical decisions. In this project, we analyze
data with the knowledge of EDA. We build a detection model and present our
findings based on the evaluations with the RSNA Pneumonia Detection Challenge
dataset.
OVERVIEW OF PNEUMONIA
Pneumonia is a form of an acute respiratory infection
that affects the lungs. The lungs comprise small sacs called alveoli that fill
up with oxygen as a healthy person breathes. The alveoli are filled with pus
and fluid when a person has pneumonia, making breathing difficult, and reducing
oxygen intake.
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The single most significant bacterial
cause of death in children worldwide is pneumonia. In 2017, pneumonia killed
808,694 children under the age of 5, accounting for 15 percent of all deaths by
children under five. Children and families worldwide are afflicted by
pneumonia, but it is most common in South Asia and sub-Saharan Africa. It can
be avoided with easy procedures and managed with low-cost, low-tech treatment
and care.
In 2015 spending for
maternal, infant, and child survival, the cost of antibiotic care for all
children with pneumonia estimate at about US$ 109 million per year among 66
countries. The expense requires antibiotics and diagnostics for the treatment
of pneumonia.
CAUSES AND
TRANSMISSION
According to WHO,
pneumonia is caused by several infectious agents, including viruses, bacteria,
and fungi. The most common are:
Ø
Streptococcus pneumoniae – the most common
cause of bacterial pneumonia in children;
Ø
Haemophilus influenzae type b
(Hib) – the second most common cause of bacterial pneumonia;
Ø
the respiratory syncytial virus is the most
common viral cause of pneumonia;
Ø
in infants infected with HIV, Pneumocystis jiroveci is one of the most common reasons for pneumonia,
responsible for at least one-quarter of all pneumonia deaths in HIV-infected
infants.
Spreading of Pneumonia
happens in many ways. The viruses and bacteria commonly found in a child's nose
or throat can infect the lungs while breathing. They may also spread via
air-borne droplets from a cough or sneeze. Besides, pneumonia may spread through
blood, especially during and shortly after birth. More research needs to be
done on the different pathogens causing pneumonia and how they are transmitted,
as this is of critical importance for treatment and prevention.
TREATMENT AND PREVENTION
Pneumonia is treated
with antibiotics. Amoxicillin-dispersible tablets are the antibiotic of choice.
In most pneumonia cases, oral antibiotics are needed, which are mostly
administered at a health clinic. These cases may also be diagnosed and treated
at the neighborhood level by qualified community health professionals with
affordable oral antibiotics. Only for severe cases of pneumonia is
hospitalization recommended.
DIAGNOSTIC PROCEDURE
The doctor will
diagnose pneumonia based on your medical history, a physical exam, and test
results. Sometimes pneumonia is hard to analyze because symptoms may be the
same as a cold or flu. The patient may not realize that his/her condition is
more severe until it lasts longer than these other conditions.
If the doctor thinks
the patient may have pneumonia, they may do one or more of the following tests.
Ø
Chest X-ray to look for inflammation in the
patient's lungs. A chest X-ray is often used to diagnose pneumonia.
Ø
Blood tests, such as a complete blood count
(CBC), determine whether the patient's immune system is fighting an infection.
Ø
Pulse oximetry to measure how much oxygen is
in his/her blood. Pneumonia can keep the patient's lungs from moving enough
oxygen into his/her blood. A small sensor called a pulse oximeter is attached
to the patient's finger or ear to calculate the levels.
DATA DESCRIPTION
In
2018, RSNA organized an AI challenge to detect pneumonia, one of the leading
causes of mortality worldwide, as part of its efforts to help improve
artificial intelligence (AI) instruments for radiology. RSNA Pneumonia dataset
consists of 29684 thousand images. All the images are in Dicom
format. There are 3000 images for testing and the remaining for training.
Dicom images: The images are in a
particular format called DICOM files (*. dcm). They
contain a mix of header metadata as well as pixel data underlying raw image
arrays.
There
are three classes in the dataset - Normal, Not normal/No opacity, and Lung
opacity. Normal class indicates there is no anomaly in the lungs. Not normal/No
opacity demonstrates to those who do not have pneumonia, but the image still
has some abnormality. Sometimes, this finding could mimic the appearance of the
right pneumonia. Lung opacity class indicates there is definite pneumonia in the
lungs. Finally, these three classes are divided into two target variables, 0
and 1. The images with lung opacity come under target 1 and 0 for the other two
classes.
Along
with the images, two csv files are provided. A detailed class info file
consists of the image name and the class it belongs to. The train labels file
consists of the bounding box coordinates belonging to each image. Bounding box
coordinates are given in the following format:
With
these bounding box coordinates, the target column is provided, which
discriminates classes into categories of 0 and 1.
EDA AND PREPROCESSING
There
are two datasets; each dataset has 30227 rows, and the trian_labels.csv has six
columns while class_info.csv has two columns.
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As
we can see below, in train_labels.csv file contains patientId,
which is a unique value per patient. Each patientId
has one target column and four values: the corresponding abnormality bounding
box defined by the upper-left-hand corner ‘x’ and ‘y’ coordinate and its
corresponding width and height. The target column has two values 0 and 1. 0 is
for No Lung Opacity / Not Normal, Normal, and 1 is for Lung opacity.
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In
the class_info.csv file, there are two columns patientId
and class column that describe the three conditions of lungs (see below fig.).
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The
frequency of patients in each class and their respective percentages are shown
in the below figure. 23.5 percent of the patients are Normal, and the remaining
are Not Normal and Lung opacity.
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The
bounding box dataset has missing values in x, y, height, and width column. A
total of 20672 missing values are present in each column.
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The
below figure shows that the number of missing values is equal the number of No
Lung Opacity (target=0). This indicates that the missing values are not random
missing or errors, they are the images of lungs of normal person (or person
without Pneumonia).
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So, the remaining
16957 are the positive means Lung Opacity case. The below figure shows the
count plot of the three classes.
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There are 26684 training images and 3000
test images. Visualizations of the few samples are shown below.
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The images, along with the bounding box,
is presented below. The figure indicates that some images have more than one
bounding box, whereas some do not even have one.
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As we can determine from the above
visualizations, the task in hand is a regression
problem. There is a need for building a feasible model that can regress the
bounding box in the images. Moreover, there is an extra class that is Not
normal/ No lung opacity. This class shows there is an anomaly in the lungs,
which can be easily misread as pneumonia. So, there is a need to examine that
class a little more briefly. A visualization showing all three classes together
is shown below.
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A bar plot of the
target classes is shown below.
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The information
regarding the patients is available in the metadata of the Dicom
images. Visualizations of that data may give a better understanding of the
pneumonia disease itself. The below picture shows the data frame of the
extracted dicom data.
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Gender is one of
the variables present in the data which can be explored.
We can infer that the dataset has more male examples from the below images than
the female examples. In this case, there are more men with pneumonia, around
4800 compared to around 3300 women with pneumonia. The abnormality in the lungs
is very high in men compared to women. There is a massive difference in the Not
normal/ No lung opacity class between males and females.
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Similarly, we can explore the other variables such as body parts examined and age.
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The
above picture gives the histogram of the age distribution. We can see that most
of the patients are above 40years and below 65 years. The detailed plots are
used to examine further.
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From the above visualization,
we can see that patients between 50 and 60 are more affected, with the dominant
age being 58. The figure clearly shows that pneumonia is more prominent at an
older age. Moreover, we can also see that the provided dataset consists of
people aged between 40 and 65. We can explore a bit further by comparing Age
with the class. The visualization that summarizes that relationship is plotted
in below picture.
From the below plot, we can infer that Abnormalities
in the lungs are more prominent in the people age between 45 and 65. So of no
surprise, the lung opacities are maximum in that age group.
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To summarize the Exploratory data analysis. We can
say we are dealing with class imbalance, as most images do not have the
bounding boxes. We can say that there is a need for the bounding box regressor
model. The metadata provided can give insight to the disease as a whole. The
visualizations of the original data and dicom
metadata are extremely useful for the stakeholders and model evaluation.
MODEL BUILDING
Based
on the findings from exploratory data analysis and problem statement, it is
evident that the model should be a bounding box regressor that can identify the
lung opacities, in turn predicting pneumonia. The model should have the ability
to localize and identify the opacities. So, based on that, we came up with the
following models.
CNN MODEL WITH RESNET BLOCKS:
This
model consists of a series of residual blocks in the middle with downsampling then followed by output block, which leads to upsampling.
Approach
Firstly,
a convolutional neural network is used to segment the image, using the bounding
boxes directly as a mask. The connected components are used to separate
multiple areas of predicted pneumonia. Finally, a bounding box is simply
regressed around every connected component.
Network
The
network consists of several residual blocks with convolutions and downsampling blocks with max pooling. At the end of the
network, a single upsampling layer converts the
output to the same shape as the input.
As
the input to the network is 256 by 256 (instead of the original 1024 by 1024)
and the network downsamples several times without any
meaningful upsampling (the final upsampling
is to match in 256 by 256 mask), the final prediction is very crude. If the
network down samples four times, the final bounding boxes can only change with
at least 16 pixels.
Results
This
model is initially trained for 20 epochs. This gives the mean IOU of 0.76 on
the validation set, and model is a good fit. Accuracy increases slightly as
epochs increased, and loss gradually decreases. Results for the above network
on the initial network are as shown in the below graphs.
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U-NET WITH MOBILENET BACKBONE
This
model is predominantly used for the image segmentation problems. In this case,
the UNet model is modified for pneumonia detection
problem using the bounding boxes' coordinates to construct the masks.
Approach
The
mobilenet model is loaded from the Keras library with imagenet
competition weights and the top of the network is frozen. The image is given as
an input with the corresponding bounding box, and feature maps are produced and
downsampled gradually to fit the bounding box and
then returned to the original shape of the input image. This process allows the
network to propagate context information to higher resolution layers.
Network
This
network consists of u-shaped architecture, as the name suggests. During the downsampling, features are generated gradually. Whereas on upsampling, the features are duplicated to that of the
original image with mask segmentation.
This
network takes an image input of 224*224 pixels with three channels red, green,
and blue. It has around 3 million parameters. A standard convolution network
consisting of repeated use of convolutions, each followed by a rectified linear
unit (ReLU) and a max-pooling process, is the
contracting part. The spatial information is decreased during the contraction,
while feature information is increased. Via a series of up-convolutions and
concatenations with high-resolution characteristics from the contracting path,
the expansive path incorporates the function and spatial details.
Results
During
the initial run of 5 epochs, the u-net model showed promising results with a
mean IOU of 0.88. While loss goes up and gradually decreases, the model's
accuracy seems to take a downfall with the training. The results for the
initial run are shown in the graphs below. This model's drawback is its
training time is very long, nearly 50mins per epoch on GPU.
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DENSENET 121
We
have an input image in a typical Convolutional Neural Network, which is then
passed through the network to get a projected output mark in a way where the
forward pass is pretty straightforward. In a DenseNet,
each layer is connected to every other layer, hence the name Densely Connected
Convolutional Network.
Approach
L(L+1)/2
direct connections exist for L layers. The feature maps of all the previous
layers are used as inputs for each layer, and their own feature maps are used
as inputs for each subsequent layer. The concatenation of feature maps from
previous layers is the input of a layer within DenseNet.
Network
There
are four Dense Blocks with varying layer numbers in each architecture. For
instance, in the four dense blocks, DenseNet-121 has [6,12,24,16] layers. We
can see that a 7x7 stage 2 Conv Layer followed by a 3x3 stride-2 MaxPooling layer consists of the first part of the DenseNet architecture. A Classification Layer that accepts
the feature maps of all network layers to perform the classification follows
the fourth dense block.
Downsampling and upsampling are
added to the dense layers to learn the mask implementation of the given input
images of 224*224 with three channels (RGB). This network has 6million
parameters.
Results
During
the initial run of the model, it gave better results than U-net. Here accuracy
and loss are better accompanied by 0.88 mean IOU. Training time takes longer
than other models but less than u-net, around 37mins for each epoch. The
results from the initial training run are shown in the graph below.
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Mask RCNN
The
Mask R-CNN is the Faster R-CNN extension, which adds an output model for each
detected object to predict a mask. Mask R-CNN, especially compared to a simple
or even state-of-the-art deep convolutional neural network model, is a
sophisticated model to implement.
Approach
Matterport’s
Mask R-CNN is adapted for the problem at hand. This model generates bounding
boxes and segmentation masks for each instance of an object in the image. It's
based on Feature Pyramid Network (FPN) and a ResNet101 backbone.
Network
The
first step is to install the library. Installation involves cloning the GitHub
repository and running the installation script on the workstation. Coco dataset
pretrained weights are loaded to use for transfer learning.
Mask
RCNN architecture consists of two stages,
Stage
1: The first stage consists of two networks, a backbone network (ResNet, VGG, Inception, etc.) and a network of regional
proposals. To offer a set of region proposals, these networks run once per
picture. Proposals for a region are regions in the function map that contain
the object.
Stage
2: In the second stage, the network predicts bounding boxes and
object class for each of the proposed region obtained in stage1. Each proposed
region can be of different size, whereas fully connected layers in the networks
always require a fixed size vector to make predictions. These proposed regions'
size is fixed by using either RoI pool (which is very
similar to MaxPooling) or the RoIAlign
method. The RoIAlign layer's output is then fed into
Mask head, which consists of two convolution layers. It generates a mask for
each RoI, thus segmenting an image in a
pixel-to-pixel manner.
Results:
After
the initial run of 5 epochs of training, training loss gradually reduces along
with the rpn_class_loss, rpn_bbox_loss,
mrcnn_class_loss, mrcnn_bbox_loss,
and mrcnn_mask_loss. This model trains a little
faster than the above models.
POTENTIAL CHANCES TO IMPROVE THE MODEL
There
are some parts of the model, data, and hyperparameters in the models can be
used to improve the performance so far,


Github IO and lboening
Files for DiamondSaber in pipe separated format
tBanks.txt
tPeople.txt
tLocations.txt
tUnits.txt
tEvents.txt
tLastNames
tMaleNames
tFemaleNames
Files for DiamondSaber in JSON format
tBanks.json
tPeople.json
tLocations.json
tUnits.txt.json
tEvents.txt.json
tLastNames.json
tMaleNames.json
tFemaleNames.json
Files for Powershell
LBHelpers.psm1 version 0.1.10 (2015-04-16)
LBHelpers.psd1 version 0.1.10 (2015-06-16)


$state
(service in module ui.router.state
)
$state
service is responsible for representing states as well as transitioning
between them. It also provides interfaces to ask for current state or even states
you're coming from.
Returns the state configuration object for any specific state or all states.
stateOrName(optional) – {string|object=} –
If provided, will only get the config for the requested state. If not provided, returns an array of ALL state configs.
{object|array}
– State configuration object or array of all objects.
Convenience method for transitioning to a new state. $state.go
calls
$state.transitionTo
internally but automatically sets options to
{ location: true, inherit: true, relative: $state.$current, notify: true }
.
This allows you to easily use an absolute or relative to path and specify
only the parameters you'd like to update (while letting unspecified parameters
inherit from the currently active ancestor states).
to – {string} –
Absolute state name or relative state path. Some examples:
$state.go('contact.detail')
- will go to the contact.detail
state$state.go('^')
- will go to a parent state$state.go('^.sibling')
- will go to a sibling state$state.go('.child.grandchild')
- will go to grandchild stateparams(optional) – {object=} –
A map of the parameters that will be sent to the state, will populate $stateParams. Any parameters that are not specified will be inherited from currently defined parameters. This allows, for example, going to a sibling state that shares parameters specified in a parent state. Parameter inheritance only works between common ancestor states, I.e. transitioning to a sibling will get you the parameters for all parents, transitioning to a child will get you all current parameters, etc.
options(optional) – {object=} –
Options object. The options are:
location
- {boolean=true|string=} - If true
will update the url in the location bar, if false
will not. If string, must be "replace"
, which will update url and also replace last history record.inherit
- {boolean=true}, If true
will inherit url parameters from current url.relative
- {object=$state.$current}, When transitioning with relative path (e.g '^'),
defines which state to be relative from.notify
- {boolean=true}, If true
will broadcast $stateChangeStart and $stateChangeSuccess events.reload
(v0.2.5) - {boolean=false}, If true
will force transition even if the state or params
have not changed, aka a reload of the same state. It differs from reloadOnSearch because you'd
use this when you want to force a reload when everything is the same, including search params.{promise}
– A promise representing the state of the new transition.
Possible success values:
Possible rejection values:
event.preventDefault()
has been called in a $stateChangeStart
listenerevent.preventDefault()
has been called in a $stateNotFound
listener or
when a $stateNotFound
event.retry
promise errors.resolve
var app = angular.module('app', ['ui.router']); app.controller('ctrl', function ($scope, $state) { $scope.changeState = function () { $state.go('contact.detail'); }; });
A url generation method that returns the compiled url for the given state populated with the given params.
stateOrName – {string|object} –
The state name or state object you'd like to generate a url from.
params(optional) – {object=} –
An object of parameter values to fill the state's required parameters.
options(optional) – {object=} –
Options object. The options are:
lossy
- {boolean=true} - If true, and if there is no url associated with the state provided in the
first parameter, then the constructed href url will be built from the first navigable ancestor (aka
ancestor with a valid url).inherit
- {boolean=false}, If true
will inherit url parameters from current url.relative
- {object=$state.$current}, When transitioning with relative path (e.g '^'),
defines which state to be relative from.absolute
- {boolean=false}, If true will generate an absolute url, e.g. "http://www.example.com/fullurl".{string}
– compiled state url
expect($state.href("about.person", { person: "bob" })).toEqual("/about/bob");
Basic globing patterns will also work.
stateOrName – {string} –
A partial name to be searched for within the current state name.
params – {object} –
A param object, e.g. {sectionId: section.id}
,
that you'd like to test against the current active state.
{boolean}
– Returns true if it does include the state
$state.$current.name = 'contacts.details.item.url'; $state.includes("*.details.*.*"); // returns true $state.includes("*.details.**"); // returns true $state.includes("**.item.**"); // returns true $state.includes("*.details.item.url"); // returns true $state.includes("*.details.*.url"); // returns true $state.includes("*.details.*"); // returns false $state.includes("item.**"); // returns false
Similar to $state.includes, but only checks for the full state name. If params is supplied then it will be tested for strict equality against the current active params object, so all params must match with none missing and no extras.
stateName – {string|object} –
The state name or state object you'd like to check.
params(optional) – {object=} –
A param object, e.g. {sectionId: section.id}
, that you'd like
to test against the current active state.
{boolean}
– Returns true if it is the state.
$state.is('contact.details.item'); // returns true $state.is(contactDetailItemStateObject); // returns true // everything else would return false
A method that force reloads the current state. All resolves are re-resolved, events are not re-fired, and controllers reinstantiated (bug with controllers reinstantiating right now, fixing soon).
var app angular.module('app', ['ui.router']); app.controller('ctrl', function ($scope, $state) { $scope.reload = function(){ $state.reload(); } });
reload()
is just an alias for:
$state.transitionTo($state.current, $stateParams, { reload: true, inherit: false, notify: false });
Low-level method for transitioning to a new state. $state.go
uses transitionTo
internally. $state.go
is recommended in most situations.
to – {string} –
State name.
toParams(optional) – {object=} –
A map of the parameters that will be sent to the state, will populate $stateParams.
options(optional) – {object=} –
Options object. The options are:
location
- {boolean=true|string=} - If true
will update the url in the location bar, if false
will not. If string, must be "replace"
, which will update url and also replace last history record.inherit
- {boolean=false}, If true
will inherit url parameters from current url.relative
- {object=}, When transitioning with relative path (e.g '^'),
defines which state to be relative from.notify
- {boolean=true}, If true
will broadcast $stateChangeStart and $stateChangeSuccess events.reload
(v0.2.5) - {boolean=false}, If true
will force transition even if the state or params
have not changed, aka a reload of the same state. It differs from reloadOnSearch because you'd
use this when you want to force a reload when everything is the same, including search params.{promise}
– A promise representing the state of the new transition. See $state.go.
var app = angular.module('app', ['ui.router']); app.controller('ctrl', function ($scope, $state) { $scope.changeState = function () { $state.transitionTo('contact.detail'); }; });
A param object, e.g. {sectionId: section.id)}, that you'd like to test against the current active state.
A reference to the state's config object. However you passed it in. Useful for accessing custom data.
Currently pending transition. A promise that'll resolve or reject.
Fired when an error occurs during transition. It's important to note that if you have any errors in your resolve functions (javascript errors, non-existent services, etc) they will not throw traditionally. You must listen for this $stateChangeError event to catch ALL errors.
event – {Object} –
Event object.
toState – {State} –
The state being transitioned to.
toParams – {Object} –
The params supplied to the toState
.
fromState – {State} –
The current state, pre-transition.
fromParams – {Object} –
The params supplied to the fromState
.
error – {Error} –
The resolve error object.
Fired when the state transition begins. You can use event.preventDefault()
to prevent the transition from happening and then the transition promise will be
rejected with a 'transition prevented'
value.
event – {Object} –
Event object.
toState – {State} –
The state being transitioned to.
toParams – {Object} –
The params supplied to the toState
.
fromState – {State} –
The current state, pre-transition.
fromParams – {Object} –
The params supplied to the fromState
.
$rootScope.$on('$stateChangeStart', function(event, toState, toParams, fromState, fromParams){ event.preventDefault(); // transitionTo() promise will be rejected with // a 'transition prevented' error })
Fired once the state transition is complete.
event – {Object} –
Event object.
toState – {State} –
The state being transitioned to.
toParams – {Object} –
The params supplied to the toState
.
fromState – {State} –
The current state, pre-transition.
fromParams – {Object} –
The params supplied to the fromState
.
Fired when a requested state cannot be found using the provided state name during transition.
The event is broadcast allowing any handlers a single chance to deal with the error (usually by
lazy-loading the unfound state). A special unfoundState
object is passed to the listener handler,
you can see its three properties in the example. You can use event.preventDefault()
to abort the
transition and the promise returned from go
will be rejected with a 'transition aborted'
value.
event – {Object} –
Event object.
unfoundState – {Object} –
Unfound State information. Contains: to, toParams, options
properties.
fromState – {State} –
Current state object.
fromParams – {Object} –
Current state params.
// somewhere, assume lazy.state has not been defined $state.go("lazy.state", {a:1, b:2}, {inherit:false}); // somewhere else $scope.$on('$stateNotFound', function(event, unfoundState, fromState, fromParams){ console.log(unfoundState.to); // "lazy.state" console.log(unfoundState.toParams); // {a:1, b:2} console.log(unfoundState.options); // {inherit:false} + default options })


The remains of S. Giovanni in Galdo, località Colle Rimontato, provide a good visual impression of the ancient sactuary. The Temple building represents the monumentalized phase (from the late 2nd to 1st century BC) and has been considered a 'typical' Samnite sactuary of this period. The context of the sactuary at Gildone, località Cupa, on the other hand, does not present much architecture in situ, due to interventions made in 1935-1938 during the construction of a road. A sesemblence of the sactuary of Colle Rimontanto has seemed plausible to most authors. Some of the terracotta rood decoration has been preserved, as well as relatively opulent votive gifts from a nearby deposit. In the wider area on the slopes of Montagna di Gildone several archaeological traces have been documented, but the direct context of the sanctuary in unknown.
Stek & Pelgrom 2005


Source:
English (en)
Arabic (ar)
Chinese (Simplified) (zh)
French (fr)
German (de)
Portuguese (pt)
Spanish (es)
Target:
English (en)
Arabic (ar)
Chinese (Simplified) (zh)
French (fr)
German (de)
Portuguese (pt)
Spanish (es)
Voice:
Ivy [English - American]
Joanna [English - American]
Joey [English - American]
Justin [English - American]
Kendra [English - American]
Kimberly [English - American]
Salli [English - American]
Nicole [English - Australian]
Russell [English - Australian]
Emma [English - British]
Brian [English - British]
Amy [English - British]
Raveena [English - Indian]
Geraint [English - Welsh]
Ricardo [Brazilian Portuguese]
Vitoria [Brazilian Portuguese]
Lotte [Dutch]
Ruben [Dutch]
Mathieu [French]
Celine [French]
Chantal [Canadian French]
Marlene [German]
Dora [Icelandic]
Karl [Icelandic]
Carla [Italian]
Giorgio [Italian]
Mizuki [Japanese]
Liv [Norwegian]
Maja [Polish]
Jan [Polish]
Ewa [Polish]
Cristiano [Portuquese]
Ines [Portuquese]
Carmen [Romanian]
Maxim [Russian]
Tatyana [Russian]
Enrique [Spanish]
Penelope [US Spanish]
Miguel [US Spanish]
Conchita [Castilian Spanish]
Astrid [Swedish]
Filiz [Turkish]
Gwyneth [Welsh]
Characters: 0
Provide post ID which you want to retrieve:
Post ID
Voice
Post
Player


Class Writer
Manages to join all tracks and features output methods.
See also:
Info:
- License: MIT
- Author: Pedro Alves Valentim
Functions
| Writer:new (tracks) | Creates a new Writer |
Methods
| Writer:add_tracks (new_tracks) | Adds one or more tracks to Writer |
| Writer:build_file () | Concatenates everything to an array. |
| Writer:stdout (show_index) | Prints the array produced by Writer:build_file() . |
| Writer:save_MIDI (title[, directory]) | Writes MIDI file. |
Functions
- Writer:new (tracks)
-
Creates a new Writer
Parameters:
- tracks a track object or a table of tracks
Returns:
-
new Writer object
See also:
Methods
- Writer:add_tracks (new_tracks)
-
Adds one or more tracks to Writer
Parameters:
- new_tracks a track object or a table of tracks to be added
See also:
- Writer:build_file ()
-
Concatenates everything to an array.
This array is must be unpacked and translated
to binary to produce a MIDI file.
Note: This method should not be called by the user. It's accessible for debugging purposes.
Returns:
-
builded array
See also:
- Writer:stdout (show_index)
-
Prints the array produced by
Writer:build_file()
.Note: The user doesn't need to call this method. It's purpose is debugging LuaMidi.
Parameters:
- show_index
bool
if
true
, shows elements index
See also:
- show_index
bool
if
- Writer:save_MIDI (title[, directory])
-
Writes MIDI file.
Parameters:


Have you ever had a mysterious package show up on your doorstep from eBay or Amazon?
Do you cringe when it's time to check your credit card statements?
Do you own any cardboard cutouts of celebrities, have a closet full of novelty clothing items, too many accessories for your pets, or have your friends commented on your bizarre taste in home decor?
If any of the above are true, you may be guilty of drunk online shopping.
At MONTAG, we are not here to judge you, and you should know you are not alone.
According to a 2017 report on e-commerce trends from BigCommerce and Square, with insights from Mercury Analytics, 96% of Americans with the internet have shopped online at least once, and 80% of them have done so in the past month.
One in ten admitted to buying things online after drinking alcohol, and the study found that men are more than twice as likely as women. Younger generations (the infamous Millennials) are five times more likely to drink and shop than their older counterparts, and parents are twice as likely as non-parents. So whether you're an older gentleman, a millennial mom, or anyone in between, it's likely you've committed a PUI (Purchase Under the Influence).
Another 2017 survey by Finder has found the average of a drunk shopping spree online, from a sample of approximately 3,000: $139 per spree – and for men alone, the average is over $200.
Of course retailers have noticed this uptick in post-happy hour retail therapy, and an oft-cited New York Times article from 2011 pointed out that online sales were increasingly being offered after 9 PM. It was stated in the same article that eBay's most popular hours are from 6:30 to 10:30 PM in each time zone that they operate, and the effect can also be seen in QVC shopping trends, where more cosmetics and accessories are sold after 7 PM.
How to not
The combination of accessibility, intangibility of risk, and lack of impulse control inherent in online shopping while drunk is a powerful cocktail for bad decision making. While it can cause significant financial harm to those with addiction or impulse control problems, in general, online shopping after you've had a few is a fairly low-risk vice.
That said, most articles warning about the seductive power of shopping under the influence offer some tips to avoid it, so before we get into the entertaining things people buy, here are some of those tips:
-
Know your triggers: both overindulging with alcohol and shopping can be due to stress, low self esteem, or a host of other seemingly unrelated problems. Look for patterns in both drinking and spending that could point to an underlying issue.
-
Hide your cards, hide your wife: credit cards are the main culprit in most cases of buyers' remorse. If you know you'll be tempted to spend beyond your means, get them away from your laptop and don't save your credit card information where one click is all it will take to make a transaction. The best tip we saw for this was actually freezing them in a bowl of water so they have to thaw before use.
-
Use wish lists and be aware of the shipping and return policies where you shop.
-
Block tempting websites at drunk o'clock. There are a lot of productivity apps that can help you do this.
If you didn't think there was already an app that would do all of this for you, welcome to the 21st century. DRNKPAY connects your linked cards to an app and locks them for 12 hours. The app then syncs with a Bluetooth breathalyzer, and you must blow under a pre-set limit to access your funds. It also has a feature that allows you to pay for an Uber, and that's the last sober warning we'll give you: please please please do not drink and drive to your local retail outlet of choice.
What we buy and why
"You want to choose something that's questionable but turns out to actually be hilarious or amazing"
In 2015, the same year that SkyMall, the alcohol-and-altitude-fueled purveyor of "who would buy this?" home products, filed for bankruptcy, web creative Chris Baker launched the app Drunk Shopping. The now-defunct service was simple: at 2:00 in the morning on Saturday night (technically Sunday) it would text a product suggestion designed to trigger that "I think this is awesome, but I would never buy it sober," impulse.
Although you couldn't actually buy anything through the app itself, it highlights a genre of weird products you find on the internet that make you think, "Who in their right mind would buy this?"
Tyler Mahan Coe, the proprietor of DrunkMall, said this in an interview with Mic about the selection of products he offers to his inebriated online customers:
"What you want out of the ideal drunk purchase is two things... There needs to be a period of doubt that begins the day after your drunk order. You think, 'Oh, maybe I shouldn't have bought that.' Or, 'There's no way it's actually going to be cool when it gets here.' Because that makes it so much better when a solid drunk purchase shows up and just destroys all of that doubt. So you want to choose something that's questionable but turns out to actually be hilarious or amazing.'"
DrunkMall appears to still be going strong, and its success may be due to its web design as much as its product selection. Command C, an e-commerce design agency, lists the UX features that are essential to creating a retail site that will be accessible to people at all levels of sobriety, in their article, "Ecommerce Website Consideration: Design for Drunks" and DrunkMall follows the same principles of bold simplicity to a point that looking at the site does seem to require beer goggles.
The blocky, red "I WANT IT" buttons direct you to external sites where you can pay actual money for products like zombie lawn gnomes, LED tutus, Netflix and Chill condoms, a sports bra that holds a bottle of wine, a Bill Murray shower curtain, 3,000 Jazz dixie cups, a really fake looking shark head for your wall, or an 8 foot long, 26-pound gummy snake.
The novelty item chicken-egg problem
There are countless lists of "X NUMBER OF HILARIOUS FUNNY CRAZY SILLY DRUNK PURCHASES" and as you may guess from the clickbait-y title, they're usually full of the same slightly off-kilter novelty items.
Novelty clothing, home goods, celebrity-themed items, weird things for your pets, bulk items of food, toys, animals (including taxidermy), and weapons, instruments, or sports gear are the major types of products that drunk people gravitate towards, according to lists of "the craziest/funniest/most regrettable/not regrettable drunk purchases".
According to the survey cited earlier from Finder, these lists are fairly accurate for intoxicated e-commerce as a whole, where the top categories of drunk purchases were 1. Shoes and clothes, 2. Gambling and cigarettes, 3. Movies and DVDs, and 4. Technology.
You don't have to be drunk to buy your pet toad 1,000 top hats, or 14 Snuggies for yourself
There's a strange relationship existing now between things people bought in the past while drunk that became jokes, were included in these lists and websites, and the suggestions of similar items that should be or are marketed to drunk people.
In a sort of feedback loop, drunk people repeat the joke actions of others drunk before them and perpetuate the myth that novelty printed shower curtains, or horse head costumes, or portraits of animals dressed as people, are all expressions of self through consumerism that are only acceptable with the caveat of inebriation.
And to this, we say you don't have to be drunk to buy your pet toad 1,000 top hats, or 14 Snuggies for yourself.
There's no need to hide behind inebriation to justify your deep desire to outfit your cat with a unicorn horn.

Sure, maybe you'll eventually regret buying that grappling hook or set of Freddie Mercury coasters, the Ouija board or the Batman bathmat, the snake bite extraction kit or 8 jars of Betty Crocker frosting, but you won't know until you buy it.
And if you won't buy it until you're drunk, then you're either a coward, or must admit that none of these things is worth spending a penny on under any circumstance.


| 1 | package com.edii.spc.game.solvers; | |
| 2 | ||
| 3 | import com.edii.spc.datastructures.OwnHeap; | |
| 4 | import com.edii.spc.datastructures.OwnMap; | |
| 5 | import com.edii.spc.datastructures.OwnSet; | |
| 6 | import com.edii.spc.game.GameField; | |
| 7 | import com.edii.spc.game.GameFieldEdge; | |
| 8 | import com.edii.spc.game.GameFieldNode; | |
| 9 | import com.edii.spc.game.GameFieldPath; | |
| 10 | import java.util.Comparator; | |
| 11 | import java.util.Map; | |
| 12 | import java.util.Set; | |
| 13 | ||
| 14 | /** | |
| 15 | * Ratkaisee pelikentän Dijkstran algoritmilla. | |
| 16 | */ | |
| 17 | public class DijkstraSolver implements Solver { | |
| 18 | private final Comparator<GameFieldNode> comparator = new Comparator<GameFieldNode>() { | |
| 19 | @Override | |
| 20 | public int compare(GameFieldNode node1, GameFieldNode node2) { | |
| 21 |
2
1. compare : Replaced integer subtraction with addition → TIMED_OUT 2. compare : replaced return of integer sized value with (x == 0 ? 1 : 0) → TIMED_OUT |
return distance.get(node1) - distance.get(node2); |
| 22 | } | |
| 23 | }; | |
| 24 | | |
| 25 | private final Map<GameFieldNode, Integer> distance = new OwnMap<>(); | |
| 26 | private final Map<GameFieldNode, GameFieldEdge> edgeToPrevious = new OwnMap<>(); | |
| 27 | | |
| 28 | @Override | |
| 29 | public GameFieldPath solve(GameField field) { | |
| 30 | for (GameFieldNode node : field.getNodes()) { | |
| 31 | distance.put(node, Integer.MAX_VALUE); | |
| 32 | } | |
| 33 | | |
| 34 | distance.put(field.getStart(), 0); | |
| 35 | OwnHeap<GameFieldNode> queue = new OwnHeap<>(comparator); | |
| 36 |
1
1. solve : removed call to com/edii/spc/datastructures/OwnHeap::add → KILLED |
queue.add(field.getNodes()); |
| 37 | | |
| 38 |
1
1. solve : negated conditional → KILLED |
while (!queue.isEmpty()) { |
| 39 | GameFieldNode u = queue.extractMin(); | |
| 40 | for (GameFieldEdge edge : u.getEdges()) { | |
| 41 |
3
1. solve : changed conditional boundary → TIMED_OUT 2. solve : Replaced integer addition with subtraction → KILLED 3. solve : negated conditional → KILLED |
if (distance.get(edge.getNodes().getSecond()) > distance.get(u) + edge.getWeight()) { |
| 42 | edgeToPrevious.put(edge.getNodes().getSecond(), edge.inverse()); | |
| 43 |
1
1. solve : Replaced integer addition with subtraction → KILLED |
distance.put(edge.getNodes().getSecond(), distance.get(u) + edge.getWeight()); |
| 44 |
1
1. solve : removed call to com/edii/spc/datastructures/OwnHeap::decreaseKey → TIMED_OUT |
queue.decreaseKey(edge.getNodes().getSecond()); |
| 45 | } | |
| 46 | } | |
| 47 | } | |
| 48 | | |
| 49 |
1
1. solve : mutated return of Object value for com/edii/spc/game/solvers/DijkstraSolver::solve to ( if (x != null) null else throw new RuntimeException ) → KILLED |
return formPath(field); |
| 50 | } | |
| 51 | | |
| 52 | private GameFieldPath formPath(GameField field) { | |
| 53 | GameFieldPath path = new GameFieldPath(field.getFinish()); | |
| 54 |
1
1. formPath : negated conditional → KILLED |
while (!path.getEndNode().equals(field.getStart())) { |
| 55 |
1
1. formPath : removed call to com/edii/spc/game/GameFieldPath::addEdge → TIMED_OUT |
path.addEdge(edgeToPrevious.get(path.getEndNode())); |
| 56 | } | |
| 57 |
1
1. formPath : mutated return of Object value for com/edii/spc/game/solvers/DijkstraSolver::formPath to ( if (x != null) null else throw new RuntimeException ) → KILLED |
return path.reverse(); |
| 58 | } | |
| 59 | } | |
Mutations | ||
| 21 |
1.1 2.2 |
|
| 36 |
1.1 |
|
| 38 |
1.1 |
|
| 41 |
1.1 2.2 3.3 |
|
| 43 |
1.1 |
|
| 44 |
1.1 |
|
| 49 |
1.1 |
|
| 54 |
1.1 |
|
| 55 |
1.1 |
|
| 57 |
1.1 |


WT:Social is a New Social Network From WikiTribune
by Andrew OrrWT:Social is a new social network from Jimmy Wales, the founder of Wikipedia. He promises it will never sell user data and rely on donors rather than ads (via BBC).
WT:Social
When you first sign up you’ll be put on a waiting list and asked to invite others, or you can sign up for a subscription. It costs US$13/mo or US$100/year.
We will empower you to make your own choices about what content you are served, and to directly edit misleading headlines, or flag problem posts. We will foster an environment where bad actors are removed because it is right, not because it suddenly affects our bottom-line.
WT:Social will be focused on news and members will be asked to edit misleading headlines. Articles will be shared in a timeline that presents content by the newest stuff first, rather than algorithmically-sorted like Facebook and Twitter.
Further Reading:


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An ERC20 contract safely manages the transfers of tokens that represent the voting power of each member of the DAO.
The extension adds to the DAO the capability of managing the voting power of members and external individuals in the DAO. It does that by tracking the token transfers between DAO members, or even, transfer from members to external accounts. That enhances the DAO features by allowing individuals that are not part of the DAO receive voting rights.
The DAO address that this extension belongs to
The custom configuration to set the transfer type, e.g:
It needs to be set via a Configuration proposal, if the proposal pass, the new configuration gets stored in the DAO. By default, only transfers between members are allowed.
Internally tracks deployment under eip-1167 proxy pattern
The token address managed by the DAO that tracks the internal transfers
The name of the token managed by the DAO
The symbol of the token managed by the DAO
The number of decimals of the token managed by the DAO. The default number of decimals is 0 in utils/DeploymentUtils.js.
It is set to 0, because then the number of Units issued by the Bank Extension is tracked on a 1:1 basis with the number of tokens. For example, in the DAO issues 1 Unit to a member, then the display in a wallet such as MetaMask will be equal "1" Token. Otherwise, if the default was to the standard 18 decimals, then it would display in MetaMask as "0.000000000000000001" Token.
Tracks all the token allowances: owner => spender => amount
Access Control Layer Flags - explicitly grant the extension permissions to change the bank and dao states.
/**
* @notice Initializes the extension with the DAO that it belongs to,
* and checks if the parameters were set.
* @param _dao The address of the DAO that owns the extension.
* @param creator The owner of the DAO and Extension that is also a member of the DAO.
*/
function initialize(DaoRegistry _dao, address creator) external override
/**
* @dev Returns the token address managed by the DAO that tracks the
* internal transfers.
*/
function token() public view virtual returns (address)
/**
* @dev Sets the token address if the extension is not initialized,
* not reserved and not zero.
*/
function setToken(address _tokenAddress) external
/**
* @dev Returns the name of the token.
*/
function name() public view virtual returns (string memory)
/**
* @dev Sets the name of the token if the extension is not initialized.
*/
function setName(string memory _name) external
/**
* @dev Returns the symbol of the token, usually a shorter version of the
* name.
*/
function symbol() public view virtual returns (string memory)
/**
* @dev Sets the token symbol if the extension is not initialized.
*/
function setSymbol(string memory _symbol) external
/**
* @dev Returns the number of decimals used to get its user representation.
* For example, if `decimals` equals `2`, a balance of `505` tokens should
* be displayed to a user as `5,05` (`505 / 10 ** 2`).
*/
function decimals() public view virtual returns (uint8)
/**
* @dev Sets the token decimals if the extension is not initialized.
*/
function setDecimals(uint8 _decimals) external
/**
* @dev Returns the amount of tokens in existence.
*/
function totalSupply() public view override returns (uint256)
/**
* @dev Returns the amount of tokens owned by `account`.
*/
function balanceOf(address account) public view override returns (uint256)
/**
* @dev Returns the remaining number of tokens that `spender` will be
* allowed to spend on behalf of `owner` through {transferFrom}. This is
* zero by default.
*
* This value changes when {approve} or {transferFrom} are called.
*/
function allowance(address owner, address spender)
public
view
override
returns (uint256)
/**
* @dev Sets `amount` as the allowance of `spender` over the caller's tokens.
* @param spender The address account that will have the units decremented.
* @param amount The amount to decrement from the spender account.
* @return a boolean value indicating whether the operation succeeded.
*
* Emits an {Approval} event.
*/
function approve(address spender, uint256 amount)
public
override
reentrancyGuard(dao)
returns (bool)
/**
* @dev Moves `amount` tokens from the caller's account to `recipient`.
* @dev The transfer operation follows the DAO configuration specified
* by the ERC20_EXT_TRANSFER_TYPE property.
* @param recipient The address account that will have the units incremented.
* @param amount The amount to increment in the recipient account.
* @return a boolean value indicating whether the operation succeeded.
*
* Emits a {Transfer} event.
*/
function transfer(address recipient, uint256 amount)
public
override
reentrancyGuard(dao)
returns (bool)
/**
* @dev Moves `amount` tokens from `sender` to `recipient` using the
* allowance mechanism. `amount` is then deducted from the caller's
* allowance.
* @dev The transfer operation follows the DAO configuration specified
* by the ERC20_EXT_TRANSFER_TYPE property.
* @param sender The address account that will have the units decremented.
* @param recipient The address account that will have the units incremented.
* @param amount The amount to decrement from the sender account.
* @return a boolean value indicating whether the operation succeeded.
*
* Emits a {Transfer} event.
*/
function transferFrom(
address sender,
address recipient,
uint256 amount
) public override reentrancyGuard(dao) returns (bool)
Approval
: when the sender approves a spender to transfer a certain amount.Transfer
: when the transfer happens between DAO members and/or external accounts.


Community Chest
MONOPOLY
Chance
Collect $200.00 salary as you pass
go
Connecticut Avenue
PRICE $120
Vermont Avenue
Price $100
Chance
Oriental Avenue
Price $100
Reading Railroad
Price $200
Income Tax
Pay 10%
or
$200
Baltic Avenue
Price $50
Community Chest
Follow instructions on top card
Mediter-
ranean
Avenue
Price $50
Just
In
Jail
Visiting
New York Avenue
Price $200
Tennessee Avenue
Price $180
Community Chest
Follow instructions on top card
St. James Avenue
Price $180
Pennsylvania Railroad
Price $200
Virginia Avenue
Price $160
States Avenue
Price $140
Electric Company
Price $150
St. Charles Place
Price $140
Free
Parking
Kentucky Avenue
Price $220
Chance
Indiana Avenue
Price $220
Illinois Avenue
Price $200
B & O Railroad
Price $200
Atlantic Avenue
Price $260
Ventnor Avenue
Price $260
Waterworks
Price $120
Marvin Gardens
Price $280
Go To
Jail
Pacific Avenue
Price $300
North Carolina Avenue
Price $300
Community Chest
Follow instructions on top card
Pennsylvania Avenue
Price $320
Short Line
Price $200
Chance
Park Place
Price $350
Luxury Tax
Pay $75.00
Boardwalk
Price $400


The data may take some time to be retrieved from the server.
Select a currency pair. Information will be displayed below.


In partnership with MindOut we are offering free mindfulness training to help improve the wellbeing of LGBTQ staff and volunteers.
What is mindfulness?
Mindfulness can help you find balance through life’s ups and downs. It helps you learn to respond more skilfully when difficulties arise.
Mindfulness training can help you learn to pay attention in the present moment, and therefore spend less time dwelling on the past or worrying about the future. It helps you begin to notice habits of the mind that might not be helpful. The more you can spot these habits and patterns the more you have a choice about how to respond, and find more stability.
How can mindfulness help?
Research has shown that mindfulness can help reduce stress, decrease incidence of depression, improve memory, and strengthen your relationships. It can help to improve sleep, immune function and wellbeing. There is an abundance of evidence showing that mindfulness can be a tool for helping reduce workplace stress. It doesn’t address systemic inequality or the need for social justice but in the important work of supporting vulnerable people it can support you to remain resilient, compassionate and prevent or address burn out. It is a set of skills to support and bolster your wellbeing.
However, no approach is right for everyone. So we are running a taster session on 25th April 2023 between 2.00-4.00pm where you can come along and try mindfulness and see if it's right for you.
What's involved in mindfulness training?
The course is 8 weekly mindfulness sessions lasting 2 hours each for between 12-20 people. There are a limited number of places so you will need to complete the short application form to secure your place. The training is offered in a safe friendly space, by experienced LGBTQ identified teachers Kate Gooch and Sheila Roche, and free materials and downloadable mindfulness practices will be provided. We encourage you to practice at home to help embed the skills.The course is LGBTQ aware and trauma informed.
When?
Taster session on 25th April 2023 between 2.00-4.00pm
The 8 week course will start on Tuesday 9th May 2023 between 2.00-4.00pm. The course dates are 9th, 16th and 30th May, 6th, 13th and 20th and 27th June and 4th July. (Please note there will be a break week on 23rd May).
Where?
At Brighton Friends Meeting House, Ship St Brighton BN1 1AF.


The Voyages of Doctor Dolittle
by Hugh Lofting
Part 3, Chapter 9: We Depart in a Hurry
Additional Information
- Year Published: 1922
- Language: English
- Country of Origin: England
- Source: Lofting, H. (1922). The Voyages of Doctor Dolittle. London, England: Lippincott Publishing.
-
Readability:
- Flesch–Kincaid Level: 4.2
- Word Count: 1,222
- Genre: Fantasy
- Keywords: 20th century literature, british literature, children's literature
- ✎ Cite This
Downloads
As soon as the door closed behind the Doctor the most tremendous noise I have ever heard broke loose. Some of the men appeared to be angry (friends of Pepito's, I suppose); but the ladies called and called to have the Doctor come back into the ring.
When at length he did so, the women seemed to go entirely mad over him. They blew kisses to him. They called him a darling. Then they started taking off their flowers, their rings, their necklaces, and their brooches and threw them down at his feet. You never saw anything like it—a perfect shower of jewelry and roses.
But the Doctor just smiled up at them, bowed once more and backed out.
"Now, Bumpo," said Polynesia, "this is where you go down and gather up all those trinkets and we'll sell 'em. That's what the big matadors do: leave the jewelry on the ground and their assistants collect it for them. We might as well lay in a good supply of money while we've got the chance—you never know when you may need it when you're traveling with the Doctor. Never mind the roses—you can leave them—but don't leave any rings. And when you've finished go and get your three-thousand pesetas out of Don Ricky-ticky. Tommy and I will meet you outside and we'll pawn the gew-gaws at that Jew's shop opposite the bed-maker's. Run along—and not a word to the Doctor, remember."
Outside the bull-ring we found the crowd still in a great state of excitement. Violent arguments were going on everywhere. Bumpo joined us with his pockets bulging in all directions; and we made our way slowly through the dense crowd to that side of the building where the matadors' dressing-room was. The Doctor was waiting at the door for us.
"Good work, Doctor!" said Polynesia, flying on to his shoulder—"Great work!—But listen: I smell danger. I think you had better get back to the ship now as quick and as quietly as you can. Put your overcoat on over that giddy suit. I don't like the looks of this crowd. More than half of them are furious because you've won. Don Ricky-ticky must now stop the bullfighting—and you know how they love it. What I'm afraid of is that some of these matadors who are just mad with jealousy may start some dirty work. I think this would be a good time for us to get away."
"I dare say you're right, Polynesia," said the Doctor—"You usually are. The crowd does seem to be a bit restless. I'll slip down to the ship alone—so I shan't be so noticeable; and I'll wait for you there. You come by some different way. But don't be long about it. Hurry!"
As soon as the Doctor had departed Bumpo sought out Don Enrique and said,
"Honorable Sir, you owe me three-thousand pesetas."
Without a word, but looking cross-eyed with annoyance, Don Enrique paid his bet.
We next set out to buy the provisions; and on the way we hired a cab and took it along with us.
Not very far away we found a big grocer's shop which seemed to sell everything to eat. We went in and bought up the finest lot of food you ever saw in your life.
As a matter of fact, Polynesia had been right about the danger we were in. The news of our victory must have spread like lightning through the whole town. For as we came out of the shop and loaded the cab up with our stores, we saw various little knots of angry men hunting round the streets, waving sticks and shouting,
"The Englishmen! Where are those accursed Englishmen who stopped the bullfighting?—Hang them to a lamp-post!—Throw them in the sea! The Englishmen!—We want the Englishmen!"
After that we didn't waste any time, you may be sure. Bumpo grabbed the Spanish cab-driver and explained to him in signs that if he didn't drive down to the harbor as fast as he knew how and keep his mouth shut the whole way, he would choke the life out of him. Then we jumped into the cab on top of the food, slammed the door, pulled down the blinds and away we went.
"We won't get a chance to pawn the jewelry now," said Polynesia, as we bumped over the cobbly streets. "But never mind—it may come in handy later on. And anyway we've got two-thousand five-hundred pesetas left out of the bet. Don't give the cabby more than two pesetas fifty, Bumpo. That's the right fare, I know."
Well, we reached the harbor all right and we were mighty glad to find that the Doctor had sent Chee-Chee back with the row-boat to wait for us at the landing-wall.
Unfortunately while we were in the middle of loading the supplies from the cab into the boat, the angry mob arrived upon the wharf and made a rush for us. Bumpo snatched up a big beam of wood that lay near and swung it round and round his head, letting out dreadful African battle-yells the while. This kept the crowd off while Chee-Chee and I hustled the last of the stores into the boat and clambered in ourselves. Bumpo threw his beam of wood into the thick of the Spaniards and leapt in after us. Then we pushed off and rowed like mad for the Curlew.
The mob upon the wall howled with rage, shook their fists and hurled stones and all manner of things after us. Poor old Bumpo got hit on the head with a bottle. But as he had a very strong head it only raised a small bump while the bottle smashed into a thousand pieces.
When we reached the ship's side the Doctor had the anchor drawn up and the sails set and everything in readiness to get away. Looking back we saw boats coming out from the harbor-wall after us, filled with angry, shouting men. So we didn't bother to unload our rowboat but just tied it on to the ship's stern with a rope and jumped aboard.
It only took a moment more to swing the Curlew round into the wind; and soon we were speeding out of the harbor on our way to Brazil.
"Ha!" sighed Polynesia, as we all flopped down on the deck to take a rest and get our breath. "That wasn't a bad adventure—quite reminds me of my old seafaring days when I sailed with the smugglers—Golly, that was the life!—Never mind your head, Bumpo. It will be all right when the Doctor puts a little arnica on it. Think what we got out of the scrap: a boat-load of ship's stores, pockets full of jewelry and thousands of pesetas. Not bad, you know—not bad."


{% macro help_topics(topics, show_community_support=False) -%} {% for topic in topics %} {% if loop.first %}
{{ _('Our support forums are a great place to ask a question, learn and discover new ways to use {}.'.format(listed_product)) }}
{{ _('Ask a Question') }}


How to Install a LAMP stack with Ansible and Docker
We are going to create a simple Ansible script that install a LAMP stack + Composer. LAMP stands for:
- Linux
- Apache
- MySQL
- PHP
Create and Login to Docker Container
The LAMP stack will be installed inside a Docker container that runs on Ubuntu so we first need to create that container.
-
Start Docker
-
To create a new Docker container named lamp. Open your terminal and run:
$ docker run -it -p 8080:80 --name lamp ubuntu:latest bash
-
Login to your newly created container.
$ docker exec -it lamp /bin/bash
-
You should now be logged in as root.
$ root@9ede87479cea:/#
Install Ansible
Once logged in to the Docker container, we need to install Ansible. We can do that by running the following commands:
-
You should now be logged in as root.
$ apt-get update $ apt-get install software-properties-common $ apt-add-repository --yes --update ppa:ansible/ansible $ apt-get install ansible
Create Ansible Playbook
It’s time to create our playbook.
-
Create a new file called lamp.yml.
touch lamp.yml
-
Open your new file.
vi lamp.yml
-
Paste the following:
--- # Lamp Stack - hosts: localhost tasks: - name: Install LAMP stack become: yes apt: pkg: - apache2 - mysql-client - php7.2 state: present update_cache: yes - name: Start Apache2 Service become: yes service: name: apache2 state: started enabled: yes - name: Download and Install Composer shell: | php -r "copy('https://getcomposer.org/installer', 'composer-setup.php');" sudo php composer-setup.php --install-dir=/usr/local/bin --filename=composer rm composer-setup.php
-
This code downloads and installs apache2, mysql-client, php7.2 and composer. Apache2 is also started so.
-
If you are using the vi editor, press esc and then type :x to save and exit.
Run Ansible Playbook
-
It’s now time to run our playbook and see if everything works.
ansible-playbook --connection=localhost lamp.yml --ask-sudo-pass
-
If everything ran without any errors, you should be able to enter http://localhost:8080/ in your browser and you’ll see the default apache page. Good job!


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Bellows Examples
Default Settings
Default Settings (no Require)
Auto Initalizing with a Data Attribute
Single Item Open at a Time
Bellows within Bellows
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Package Controllers
Class Calendar
- java.lang.Object
-
- Controllers.Calendar
-
public class Calendar extends java.lang.Object
Calendar Controller.
-
-
Field Summary
Fields Modifier and Type Field Description private javafx.scene.control.TableColumn<Appointment,java.lang.String>
appointmentContact
private javafx.scene.control.TableColumn<Appointment,java.lang.Integer>
appointmentCustomerId
private AppointmentDao
appointmentDao
Appointment DAO object to manipulate the Appointment table in the database.private javafx.scene.control.TableColumn<Appointment,java.lang.String>
appointmentDescription
private javafx.scene.control.TableColumn<Appointment,java.time.LocalDateTime>
appointmentEndDateTime
private javafx.scene.control.TableColumn<Appointment,java.lang.Integer>
appointmentId
private javafx.scene.control.TableColumn<Appointment,java.lang.String>
appointmentLocation
private javafx.collections.ObservableList<Appointment>
appointments
List of Appointments retrieved from database.private javafx.scene.control.TableColumn<Appointment,java.time.LocalDateTime>
appointmentStartDateTime
private javafx.scene.control.TableView<Appointment>
appointmentTableView
private javafx.scene.control.TableColumn<Appointment,java.lang.String>
appointmentTitle
private javafx.scene.control.TableColumn<Appointment,java.lang.String>
appointmentType
private javafx.scene.control.ToggleGroup
CalendarDuration
private javafx.scene.control.TableColumn<Customer,java.lang.String>
countryTableColumn
private javafx.scene.control.Label
currentDateLbl
private javafx.scene.control.TableColumn<Customer,java.lang.String>
customerAddressTableColumn
private CustomerDao
customerDao
Customer DAO object to manipulate the customer table in the database.private javafx.scene.control.TableColumn<Customer,java.lang.Integer>
customerIdTableColumn
private javafx.scene.control.TableColumn<Customer,java.lang.String>
customerNameTableColumn
private javafx.collections.ObservableList<Customer>
customers
List of Customers retrieved from database.private javafx.scene.control.TableView<Customer>
customerTableView
private static java.time.format.DateTimeFormatter
dateFormat
DateTimeFormatter to format the dates to MM/dd/yyyy.private static java.time.format.DateTimeFormatter
dateTimeFormat
DateTimeFormatter to format Date & Time to MM/dd/yyyy h:mm a.private javafx.scene.control.TableColumn<Customer,java.lang.String>
divisionNameTableColumn
private javafx.collections.transformation.FilteredList<Appointment>
filteredAppointments
A filtered list of appointments.private javafx.scene.control.TableColumn<Customer,java.lang.String>
phoneNumberTableColumn
private javafx.scene.control.TableColumn<Customer,java.lang.String>
postalCodeTableColumn
private User
user
Current User that is logged into Calendar Application.private javafx.scene.control.Label
usernameLbl
-
Constructor Summary
Constructors Constructor Description Calendar()
-
Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description (package private) void
addAppointment()
Adds Appointments to the Appointment table on screen and in the database.(package private) void
addCustomer()
Adds Customers to the Customer table on screen and in the database.(package private) void
deleteAppointment()
Deletes appointments from Tables on screen and in the database.(package private) void
deleteCustomer()
Deletes customer from Tables on screen and in the database.private Appointment
hasUpcomingAppointment()
Checks to see if there is an upcoming appointment within the next 15 minutes.(package private) void
initialize()
Initializes the Calendar view.private void
initializeAppointmentTable()
Initializes the Appointments table.private void
initializeCustomerTable()
Initializes the Customer Table.void
initializeData(User user)
Initializes Data.private boolean
isConflict(Appointment result)
Checks to see if the Appointment has a conflict with an existing appointment.private void
loadAppointments()
Loads Appointments from the database.private void
loadCustomers()
Loads Customers from the database.(package private) void
showReports()
Opens the Calendar Reports screen.(package private) void
switchCalendarDuration()
Switches the calendar duration.(package private) void
updateAppointment()
Initializes the AppointmentDetails view, with an appointment to be updated.(package private) void
updateCustomer()
Initializes the CustomerDetails view, with a customer to be updated.
-
-
-
Field Detail
-
dateFormat
private static final java.time.format.DateTimeFormatter dateFormat
DateTimeFormatter to format the dates to MM/dd/yyyy.
-
dateTimeFormat
private static final java.time.format.DateTimeFormatter dateTimeFormat
DateTimeFormatter to format Date & Time to MM/dd/yyyy h:mm a.
-
customers
private final javafx.collections.ObservableList<Customer> customers
List of Customers retrieved from database.
-
appointments
private final javafx.collections.ObservableList<Appointment> appointments
List of Appointments retrieved from database.
-
filteredAppointments
private final javafx.collections.transformation.FilteredList<Appointment> filteredAppointments
A filtered list of appointments.
-
customerDao
private final CustomerDao customerDao
Customer DAO object to manipulate the customer table in the database.
-
appointmentDao
private final AppointmentDao appointmentDao
Appointment DAO object to manipulate the Appointment table in the database.
-
user
private User user
Current User that is logged into Calendar Application.
-
usernameLbl
private javafx.scene.control.Label usernameLbl
-
CalendarDuration
private javafx.scene.control.ToggleGroup CalendarDuration
-
appointmentTableView
private javafx.scene.control.TableView<Appointment> appointmentTableView
-
appointmentId
private javafx.scene.control.TableColumn<Appointment,java.lang.Integer> appointmentId
-
appointmentTitle
private javafx.scene.control.TableColumn<Appointment,java.lang.String> appointmentTitle
-
appointmentDescription
private javafx.scene.control.TableColumn<Appointment,java.lang.String> appointmentDescription
-
appointmentLocation
private javafx.scene.control.TableColumn<Appointment,java.lang.String> appointmentLocation
-
appointmentContact
private javafx.scene.control.TableColumn<Appointment,java.lang.String> appointmentContact
-
appointmentType
private javafx.scene.control.TableColumn<Appointment,java.lang.String> appointmentType
-
appointmentStartDateTime
private javafx.scene.control.TableColumn<Appointment,java.time.LocalDateTime> appointmentStartDateTime
-
appointmentEndDateTime
private javafx.scene.control.TableColumn<Appointment,java.time.LocalDateTime> appointmentEndDateTime
-
appointmentCustomerId
private javafx.scene.control.TableColumn<Appointment,java.lang.Integer> appointmentCustomerId
-
customerTableView
private javafx.scene.control.TableView<Customer> customerTableView
-
customerIdTableColumn
private javafx.scene.control.TableColumn<Customer,java.lang.Integer> customerIdTableColumn
-
customerNameTableColumn
private javafx.scene.control.TableColumn<Customer,java.lang.String> customerNameTableColumn
-
customerAddressTableColumn
private javafx.scene.control.TableColumn<Customer,java.lang.String> customerAddressTableColumn
-
divisionNameTableColumn
private javafx.scene.control.TableColumn<Customer,java.lang.String> divisionNameTableColumn
-
countryTableColumn
private javafx.scene.control.TableColumn<Customer,java.lang.String> countryTableColumn
-
postalCodeTableColumn
private javafx.scene.control.TableColumn<Customer,java.lang.String> postalCodeTableColumn
-
phoneNumberTableColumn
private javafx.scene.control.TableColumn<Customer,java.lang.String> phoneNumberTableColumn
-
currentDateLbl
private javafx.scene.control.Label currentDateLbl
-
-
Method Detail
-
showReports
void showReports() throws java.io.IOException
Opens the Calendar Reports screen.- Throws:
java.io.IOException
-
addAppointment
void addAppointment() throws java.io.IOException
Adds Appointments to the Appointment table on screen and in the database. Uses a Lambda function in the consumer, that is passed to the AppointmentDetails Controller. (Justification for Lambda ???)- Throws:
java.io.IOException
-
addCustomer
void addCustomer() throws java.io.IOException
Adds Customers to the Customer table on screen and in the database. Uses a Lambda function in the consumer, that is passed to the AppointmentDetails Controller. (Justification for Lambda ???)- Throws:
java.io.IOException
-
deleteAppointment
void deleteAppointment()
Deletes appointments from Tables on screen and in the database. Verifies if user wants to delete appointment, if false no deletion occurs. Validates that an appointment has been selected, if no appointment is selected alerts user and does nothing. Attempts to delete appointment from database, if unable to alerts user, and returns. If all checks pass, appointment is removed from on screen table.
-
deleteCustomer
void deleteCustomer()
Deletes customer from Tables on screen and in the database. Verifies if user wants to delete customer, if false no deletion occurs. Validates that a customer has been selected, if no customer is selected alerts user and does nothing. Validates if a customer has 1+ appointments, this is using a lambda function.* If it is able to delete all appointments with the Customer ID, then removes them from the on screen table using a lambda function.* Then attempt to delete customer from table, if success removes customer from on screen table. *The lambda functions are used for clarity and readability. They check appointments customer id against the customer to be deleted.
-
switchCalendarDuration
void switchCalendarDuration()
Switches the calendar duration. Uses a Lambda function as the predicate to the filtered appointments list.
-
updateAppointment
void updateAppointment() throws java.io.IOException
Initializes the AppointmentDetails view, with an appointment to be updated.- Throws:
java.io.IOException
-
updateCustomer
void updateCustomer() throws java.io.IOException
Initializes the CustomerDetails view, with a customer to be updated.- Throws:
java.io.IOException
-
initialize
void initialize()
Initializes the Calendar view. Sets the Current Date Label, initializes the Appointment, and Customer tables. Then sets the visibility of the Appointment Table to the default filter.
-
initializeData
public void initializeData(User user)
Initializes Data. Sets the current user of the application. Loads Customers and Appointments. Validates if there is an appointment with in the next 15 minutes.- Parameters:
user
- User which has successfully logged into the Calendar Application.
-
hasUpcomingAppointment
private Appointment hasUpcomingAppointment()
Checks to see if there is an upcoming appointment within the next 15 minutes.- Returns:
- first appointment that is with 15 minutes, or a new blank appointment.
-
initializeCustomerTable
private void initializeCustomerTable()
Initializes the Customer Table.
-
initializeAppointmentTable
private void initializeAppointmentTable()
Initializes the Appointments table.
-
isConflict
private boolean isConflict(Appointment result)
Checks to see if the Appointment has a conflict with an existing appointment.- Parameters:
result
- result from the Appointments Detail Screen.- Returns:
true
if there is an appointment that overlaps start or end times., otherwisefalse
.
-
loadCustomers
private void loadCustomers()
Loads Customers from the database.
-
loadAppointments
private void loadAppointments()
Loads Appointments from the database.
-
-


--- layout: post title: Tag tags: - atoms ---
Hovers:
Creates small styled tags.
All colors with a light or light4 variant are used to generate tag styles.
Tags embedded in a link element get a hover color, which is the base or light2 variant respectively.
Selectors added:
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Behaviour added:
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Tue Feb 22, 2000
I’m sitting on a rock next to the mighty Zambezi. It’s amazing, purple flowering lilies sprout here and there in a river that’s surprisingly gentle considering the fall it’s about to take. I love it here.
 Afterwards, we jumped the fence and saw the falls by moonlight. I feel like a real Scorpio loving all this water.
Later…
Just been for a hectic walk - hippos, crocodiles, elephants… didn’t see any of them but they’re out there tantalizing the walker and striking fear in our hearts. Wouldn’t really be keen for a swim in these crocodile-infested waters. The nature is what it’s all about here in Zim - and the culture, although it’s been horribly skewed by western doctrine and a drive for tourism that literally shoves tourists around with force.
Later…
Man, this town goes for the hard sale, eventually I decided to haggle with one because they’re so desperate and I managed to get him down to $15 Zim for a serpent necklace. Oh well.
I’m not sure, but I think I found a genuine flake while I was walking through an eroded dirt patch on the monkey mountains above the Zambezi. It’s roughly arrow shaped and has a bulb of percussion. It’s made out of a smooth ochre-coloured rock. I’m not sure if it’s obsidian or not. It fits the Oldowan pattern. I don’t know - it was out of context, so not much use. It looks like the face has been chiselled.
Much later…
Sitting here at the train station - the train is late as usual - African time of course. Actually, all these English tourists with loads of dosh are starting to bother me as much as those vicious hawkers. (Hello! Hello my friend! Hippo - Very cheap, you know how much?) Nyama Nyama - that’s the serpent.
Some desperate guy at the station here gave me four Nyama Nyamas for $10 Zim. Oh my god - I felt so sorry for the guy, I just bought ‘em. I guess I could use some giveaway gifts.

Just checked my funds… I have more than I thought! So, going for the whole three-course dinner on the train. Might as well splash out on my last few days! I should go to Kariba! Nah. The money will be nice in S.A.

Who wants money, as long as you’ve some honey
This journal entry has been transcribed from the handwritten original. For more information about this transcription project, see this blog post.


MOVIES Jonathan Richards
BRINGING OUT THE DEAD Directed by Martin Scorsese Screenplay by Paul Schrader from Joe Connelly's novel With Nicolas Cage, Patricia Arquette De Vargas R 118 min
The title of Martin Scorsese's new movie (adapted by Paul Schrader from the bestseller by former paramedic Joe Connelly) reflects the grisly cry of corpse-collectors in plague-stricken 18th century London: "Bring out your dead!" The New York City Scorsese shows us at the end of the 20th century is gripped by no less deadly a plague; it is a nightmare world crushed under an epidemic of drugs, violence, and indifference.
Scorsese is perhaps the most revered living American director, admired by peers and critics for his mastery of the language of film. And yet he is a director with a deep and abiding propensity to disappoint. In "Bringing Out the Dead" he disappoints again, with a movie that lacks narrative drive and coherence, but that still manages to pack plenty of virtuoso filmmaking into its two hours.
At the center of things is Frank Pierce, a paramedic at the end of his skein, played by Nicolas Cage in a stunned, anguished trance. Pale of skin and dark of eye, he looks as if he's been made up for a Tim Burton movie. Frank drives an ambulance through the streets of New York accompanied by a series of partners, listening to emergency radio dispatches broadcast as Altmanesque asides ("A woman has gone into cardiac arrest because a roach has crawled in her ear and she can't get it out") and sometimes responding to them.
The action (you couldn't call it story) covers three nights in Frank's disintegrating life. On the first, he's called to try to revive a man who's had a heart attack, and manages to get a heartbeat again after the man's been dead for 20 minutes. He's ambivalent about this ("I've come to believe in spirits leaving the body and not wanting to come back"), but he's been on a losing streak, hasn't saved a life in months, and then there's the man's daughter (Patricia Arquette), who seems to light some extinguished fire deep in Frank's spiritual wasteland.
Arquette is bland, and Cage's mumbling, stumbling performance (occasionally leavened by bursts of manic energy) is drawn from the actor's increasingly familiar and finite bag of tricks. The performances that give this film life come from his three partners, John Goodman, Tom Sizemore, and especially Ving Rhames. There's also a wonderfully sinister velvet turn from New Zealander Cliff Curtis ("Three Kings") as an upscale drug dealer, and Mary Beth Hurt is memorable as a tough-talking ER nurse ("I don't see why we should help you -- did we shove the heroin up your nose?")
Scorsese dazzles with some breathtaking visuals and powerful scenes, but the movie has an unfocused, rambling feel that reaches several climaxes of ennui before it plays itself out.
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


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EEE 304 Signals and Systems II
Fall 2010, MWF 12:55-13:45, SCOB250
Instructor: Kostas Tsakalis, GWC 358, 965-1467,
Office Hours: MWF 14:00-15:00 or by appointment
Textbook: Oppenheim and
Willsky Signals and Systems, 2nd Ed., Prentice Hall,
1997.
LAB TIMES:
(TA present at GWC 379)
M: 8-11
T: 8-11 W: 11-14 S: 12-15
Starts: M 1/25. For labs on a holiday, please make arrangements
with the TA.
Course Outline:
- Review of fundamental concepts and problems in systems
theory (Ch.2)
- Laplace and Fourier Transform review (Ch.9,4)
- z-transform and DTFT review (Ch.10,5)
- Sampling and reconstruction (Ch.7)
- State-space description of CT/DT systems (Notes-optional)
- Analog and Digital Filters: Structure and design (Ch.3.8, 6)
- Feedback systems: stability and synthesis principles (Ch. 11)
- Analog and Digital Modulation (Ch. 8)
Grading: HW 10%, LAB 20%, Tests/Quizzes 40% (
best
n-1
scores),
Final 30%
Absolute Grading Scale: A > 90 > B > 75
> C > 60 > D > 50 > E
(Cut-off points may only decrease depending on the
final
grade distribution.)

Important Dates:
HW: see below
Tests: see below (typically first 30min of class,
1-2 problems)
Final
Exam, F 12/10 9:50-11:40
-------------------------------------------------------------------------------------
HW
Assignments,
Test Material, Handouts
Background material (from 203)l: Class Notes
#1
(.pdf)
Basic definitions and examples on system properties.
Linearity, Time Invariance, Causality, Memory, Stability.
Solved Problems: Recent
Selections
Other solved problems
Old 304 Tests (sample)
More
Samples
Presentations
on feedback control systems
1. Motivation and simple calculations.
Performance and Robustness notions
2. Some special problems in controller
design. Saturating actuators and sequential loop closing.
!!! Convolution
Demos: Try out this JAVA-based program
(http://www.eas.asu.edu/~midle/jdsp/)
Sampling and reconstruction Demo: Download the files:
Problem description , Matlab file , Tada sound .
Study the problem described in the linked notes. Use the Matlab program
to experiment with
different parameter values (frequency, filters, etc)
ASSIGNMENTS
ASSIGNMENT
|
DUE
DATE
|
TOPIC
|
SOLUTIONS
|
HW
0: 203 Old hw and tests
(see soln for statements)
|
Fri 9/3
|
Background
Material
|
Problem statements
and solutions
|
HW
1
|
Fri 9/10
|
Laplace-Z transforms
|
SOLUTIONS
|
| TEST
1 |
Fri 9/17
|
Laplace-Z transforms |
SOLUTIONS
|
LAB
1 CleanSpeachFile (see BB)
|
|
Filtering |
|
HW
2
|
Fri 9/24
|
Filtering |
SOLUTIONS
|
TEST
2
|
Fri 10/1
|
Filtering |
SOLUTIONS
|
| LAB
2 Sample VI file (see BB) |
|
Filter Design
|
|
HW 3
|
Fri 10/15
|
Sampling
and Reconstruction
|
SOLUTIONS
|
| TEST
3 |
Fri 10/22
|
Sampling and Reconstruction
|
SOLUTIONS
|
| LAB 3
vi's: fft sound sine square (see BB)
|
|
Sampling
and Reconstruction
|
|
HW
4
|
Fri 10/29
|
Modulation
|
SOLUTIONS
|
| TEST
4 |
Fri 11/5
|
Modulation |
SOLUTIONS
|
ABET
TEST
Multiple choice,
replaces worst grade |
Fri 11/12
|
Basic
concepts: convolution, stability,
frequency responses,
sampling.
Continuous/Discrete time systems
|
|
| LAB
4 vi's: modulation, y.wav (see BB) |
|
Modulation |
|
| HW
5 matlab history
(lecture) |
Fri 11/19
|
Feedback
|
SOLUTIONS |
TEST
5
Matlab history (lecture)
|
Fri 12/3
|
Feedback
|
SOLUTIONS
|
LAB INFO
TA's Uttam Bhat, Jayaraman Thiagarajan (office GWC 446),
LAB GWC379 <>
Deadline announcements and Lab Documents are posted above.
The lab reports must be submitted on the specified
due
date. You may submit the lab report to Jayaraman in case you miss
out
the class or lab. In case he is not
present, you may slide the report under the door. See a TA or the instructor for late reports.
The Lab report must not exceed 6 pages (unless otherwise
specified). You are expected to answer only the Lab exercises (and not
the introduction part) provided at the end of the Lab
instructions.
You may include few diagrams or capture the screen shot of the graphs
that you generated by simulations. You are not supposed to
submit the VIs, but only the screenshots of the VIs . A Sample Lab Report is posted below.
You may work in groups, but you must submit your individual report
with the screenshots of your own VIs.
You can install Lab View in your PC or Mac. Send an email from your 'asu.edu' email
account to<EMAIL_ADDRESS>Include your 10 digit ASU affiliate number.
You will be guided from there.<>
9/14/10 UPDATE: The LabVIEW Student Edition for $20 is now live on the e-academy website. Visit http://estore.onthehub.com/and search for 'LabVIEW'.
All Documents must be saved onto personal flash drive before Shutting
down the computer. Data will be lost once you log off.
If you have any questions regarding the labs, you may contact the TAs
during the lab hours or by email.
SAMPLE LAB REPORT
-----------------------------------------------------------
EEE 304 FINAL EXAM
Material:
HW
1-5, Tests 1-5


ASViewController Class Reference
| Conforms to | * : ASDisplayNode DisplayNodeType __covariant |
|---|---|
| Declared in | ASViewController.h |
– initWithNode:
ASViewController Designated initializer.
- (instancetype)initWithNode:(DisplayNodeType)node
Parameters
node |
An ASDisplayNode which will provide the root view (self.view) |
|---|
Return Value
An ASViewController instance whose root view will be backed by the provided ASDisplayNode.
Discussion
ASViewController allows you to have a completely node backed heirarchy. It automatically handles @c ASVisibilityDepth, automatic range mode and propogating @c ASDisplayTraits to contained nodes.
See Also
Declared In
ASViewController.h
node
node Returns the ASDisplayNode which provides the backing view to the view controller.
@property (nonatomic, strong, readonly) DisplayNodeType node
Return Value
node Returns the ASDisplayNode which provides the backing view to the view controller.
Declared In
ASViewController.h
overrideDisplayTraitsWithTraitCollection
Set this block to customize the ASDisplayTraits returned when the VC transitions to the given traitCollection.
@property (nonatomic, copy) ASDisplayTraitsForTraitCollectionBlock overrideDisplayTraitsWithTraitCollection
Declared In
ASViewController.h
overrideDisplayTraitsWithWindowSize
Set this block to customize the ASDisplayTraits returned when the VC transitions to the given window size.
@property (nonatomic, copy) ASDisplayTraitsForTraitWindowSizeBlock overrideDisplayTraitsWithWindowSize
Declared In
ASViewController.h
interfaceState
Passthrough property to the the .interfaceState of the node.
@property (nonatomic, readonly) ASInterfaceState interfaceState
Return Value
The current ASInterfaceState of the node, indicating whether it is visible and other situational properties.
See Also
Declared In
ASViewController.h
– nodeConstrainedSize
The constrained size used to measure the backing node.
- (ASSizeRange)nodeConstrainedSize
Discussion
Defaults to providing a size range that uses the view controller view’s bounds as both the min and max definitions. Override this method to provide a custom size range to the backing node.
Declared In
ASViewController.h


blaiise.github.io
I am Blaise. I have had brilliant breakfast today. Hope you have had good one too. My Website


Universal delayed guest whose shirt said retired officer
ORLANDO, Fla. (AP) - A 55-year-old law enforcement veteran was stopped from entering Universal Studios for nearly an hour because the front of his grey long-sleeved t-shirt read "retired police officer."
Former Ormond Beach officer Vincent Champion tells the Orlando Sentinel the experience left him confused and angry. He vows never to return to the theme park.
Universal officials said in a statement they have tremendous respect for law enforcement, but guests could have confused him for an actual police officer. Security attendants asked him to remove the shirt before entering the park Nov. 1.
Bystanders defended Champion. One offered his shirt. Champion put it on but was told he couldn't carry the other shirt into the park.
Champion says a supervisor finally relented when he acknowledged there's no official badge on the shirt.
Copyright 2019 The Associated Press. All rights reserved. This material may not be published, broadcast, rewritten or redistributed.


about
The power of Phish.in & LivePhish.com in the palm of your hand! Listen to any song from Phish.in and view concert ratings and reviews from phish.net!
You can also stream Live Phish Radio and shows from your LivePhish.com stash.
- Scrobble to Last.FM
- Download songs for offline listening!
- Listen to music in the background, with full listening capabilities!
- Filter concerts by soundboards and remastered versions!
- Look at every time a song was played!
- Look at the top rated concerts
- See which times a song was on the jamming charts
- PhishTracksStats.com integration. Personalized stats!
- Read the taper’s notes
- LivePhish radio provided by nugs.net!
- LivePhish.com integration: featured shows, stash and browse!
Big thanks to phish.net and Phish.in for making this data available for use!
Please note that this app is very much a work in progress and I am open to suggestions and more! Get in touch with me below!
contact
This app was developed by Alec Gorge. You can find him at @alecgorge, phish.net, Last.FM and GitHub.
Speaking of GitHub, this app is open source and available on GitHub!


Trump Says He Will Consider Testifying in Impeachment Hearing
Speaker Pelosi told CBS’ 'Face the Nation' on Sunday that Trump could come before the committee and 'speak all the truth that he wants'
by The Associated PressPresident Donald Trump suggested Monday he might be willing to offer written testimony in the House impeachment inquiry over whether he pressured Ukraine’s president to investigate Joe Biden and his son as he withheld aid to the country.
In a pair of tweets, Trump says he will “strongly consider” an offer by House Speaker Nancy Pelosi to testify before the House impeachment panel.
Trump tweeted, “She also said I could do it in writing. Even though I did nothing wrong, and don’t like giving credibility to this No Due Process Hoax, I like the idea & will, in order to get Congress focused again, strongly consider it!”
Pelosi told CBS’ “Face the Nation” on Sunday that Trump could come before the committee and “speak all the truth that he wants.”


Police charge man after woman shot in Christchurch
by Sophie CornishA 38-year-old man has been charged after a woman was shot in Christchurch on Saturday.
The man was expected to appear in the Christchurch District Court on Monday, facing charges of wounding with intent to injure and unlawfully using a firearm.
He has also been charged with assault on a female for an offence relating to a different incident, a police spokeswoman said.
Police were called to the Strickland St property in Spreydon about 3.10pm after a person reported hearing a gunshot.
The victim, who is recovering, had already been taken to hospital when emergency services arrived.
Police officers armed with rifles, a dog unit and an armed response team were seen outside the Strickland Rd property.


One of the most important methods of reducing collisions between markers when using very few markers to approximate a system with much more physical particles is to solve Maxwell’s equation on discrete grids and use the cell-averaged moments obtained from markers as the source term in the ﬁeld equation.
To be clear, grid points and the corresponding cells are deﬁned as illustrated in Fig. 2 for the 1D case.
Field solvers in PIC code need the values of I at the grid-points. This value at the grid point is deﬁned as the average of I over the corresponding cells (similar to that in the ﬁnite element method), i.e.,
|
| (37) |
where ΔV = ∫ αi−1∕2αi+1∕2 ∫ βj−1∕2βj+1∕2 ∫ γk−1∕2γk+1∕2 𝒥dαdβdγ is the cell volume, which can be approximated as ΔV ≈𝒥i,j,kΔαΔβΔγ. Using Eqs. (36), the above expression is written as
|
| (38) |
Using the shape function given in expression (25), the above expression is written as
|
| (39) |
where the Jacobian in the integrand is cancelled out. The 3D integral in expression (39) consists of three identical 1D integrations. Consider one of them:
|
| (40) |
Consider the case Δαp = Δα, and choose S1D to be the l th order b-spline function, bl, then the above expression is written as
where bl+1 is the (l + 1)th order b-spline function. [Proof of Eq. (42): Using the property of the zeroth order b-spline function b0 (a ﬂat top function), the integration (41) can be written as] Therefore expression (39) is written as
|
| (43) |
Recall that, in terms of the b-spline functions, the local value I(α,β,γ) is given by expression (36), i.e.,
|
| (44) |
It is instructive to compare expression (43) with (44), which indicates that they are similar except that the b-spline functions involved in the cell-averaged expression (43) is one order higher than that involved in the local expression (44).


|
Systolic Simulator
A simulation of systolic algorithmic flow in C++
|
Implementation of an ICell for multiplicative operation. More...
#include <MultiplicativeCell.hpp>
Public Member Functions | |
| MultiplicativeCell (const int factor) | |
| Default constructor. More... | |
| std::tuple< std::optional< int >, std::optional< int > > | compute () override |
| Perform the computation. More... | |
| void | feed (const std::tuple< std::optional< int >, std::optional< int >> input) override |
| Give a new value to the cell for later computation. More... | |
| std::tuple< std::optional< int >, std::optional< int > > | getPartial () const override |
| Get the current computed value of the cell. More... | |
| std::tuple< std::optional< int >, std::optional< int > > | getInputs () const override |
| Get the inputs for the next computation. More... | |
| std::string | getCellDescription () const override |
| Get a generic description of the cell. More... | |
| Public Member Functions inherited from Systolic::Cell::ICell | |
| virtual | ~ICell () |
| Default deconstructor. | |
Implementation of an ICell for multiplicative operation.
Cell that performs X*Y computation, where Y is a constant integer defined at cell creation.
| Systolic::Cell::MultiplicativeCell::MultiplicativeCell | ( | const int | factor | ) |
Default constructor.
Defines what the constant factor for the computation of this cell.
|
overridevirtual |
Perform the computation.
Does an X*Y computation where X is its internal stored value and Y is the constant defined at the cell creation. Replaces its internal stored value by the computed result.
Implements Systolic::Cell::ICell.
|
overridevirtual |
Give a new value to the cell for later computation.
Stores a new value in the cell, to be used during computation. Does not replace the existing partial result.
| input | An optional integer. |
Implements Systolic::Cell::ICell.
|
overridevirtual |
Get a generic description of the cell.
Implements Systolic::Cell::ICell.
|
overridevirtual |
Get the inputs for the next computation.
Get the last values fed to the cells.
Implements Systolic::Cell::ICell.
|
overridevirtual |
Get the current computed value of the cell.
Gets the last computed value of this cell.
Implements Systolic::Cell::ICell.


---
title: 'Changelog'
subtitle: 'Chilean Political Science Impact Ranking'
weight: 4
## author: ''
date: '2019-12-01'
## lastmod: ''
authors: ["bgonzalezbustamante"]
summary: 'See changes to this project'
---
All notable changes to this project will be documented in this section: Added Changed Deprecated Removed Fixed.
[Unreleased]
[2.0.0] - 2020-03-05
- Release dataset (DOI 10.17605/OSF.IO/M3NZD).
- Updated version impact ranking.
- Updated analysis career trajectories.
- Updated co-author network analysis.
- Prediction of H-Index.
[Released]
[1.2.2] - 2020-01-04
- Integration between websites.
- URL redirections.
- Previous CPS-Ranking website.
[1.1.2] - 2020-01-02
- Preparing integration between the CPS-Ranking website and personal site at the University of Oxford.
- CPS-Ranking website.
[1.0.2] - 2020-01-01
- Minor typesetting corrections.
[1.0.1] - 2019-12-23
- Update of researchers to be added.
[1.0.0] - 2019-12-16
- Upload CPS-Ranking website.
- URL redirections.
- R Markdown HTML presentations.
[0.5.1] - 2019-12-10
- Update of researchers to be added.
[0.5.0] - 2019-12-05
- Model of CPS-Ranking website powered by R and the package blogdown.
- R Markdown HTML presentations.
[0.4.0] - 2019-12-04
- Adjust co-author network algorithm.
- Automation of analysis code.
[0.3.0] - 2019-12-03
- Release dataset (DOI 10.17605/OSF.IO/M3NZD).
- Analysis of career trajectories.
- Co-author network analysis.
[0.2.0] - 2019-12-02
- OSF project (DOI: 10.17605/OSF.IO/C8PRA).
- OSF data component (DOI: 10.17605/OSF.IO/M3NZD).
- Scraper code.
- Scrape Google Scholar data.
- Impact ranking.
- R Markdown HTML presentations.
- Researchers to be added.
- Tie in H-Index.