text:
Train neural network for deep learning
trainNetwork to train a convolutional neural network
(ConvNet, CNN), a long short-term memory (LSTM) network, or a bidirectional LSTM
(BiLSTM) network for deep learning classification and regression problems. You can train
a network on either a CPU or a GPU. For image classification and image regression, you
can train using multiple GPUs or in parallel. Using GPU, multi-GPU, and parallel options
requires Parallel
Computing Toolbox™. To use a GPU for deep
learning, you must also have a CUDA® enabled NVIDIA® GPU with compute capability 3.0 or higher. Specify training options, including options for the execution environment,
by using
trains a network for sequence classification and regression problems (for
example, an LSTM or BiLSTM network), where
net = trainNetwork(
contains sequence or time series predictors and
Y contains
the responses. For classification problems,
Y is a
categorical vector or a cell array of categorical sequences. For regression
Y is a matrix of targets or a cell array of
numeric sequences.
trains a network for classification and regression problems. The predictors must
be in the first column of
net = trainNetwork(
tbl. The
responseName argument specifies the response variables
Load the data as an
ImageDatastore object.
digitDatasetPath = fullfile(matlabroot,'toolbox','nnet', ... 'nndemos','nndatasets','DigitDataset'); imds = imageDatastore(digitDatasetPath, ... 'IncludeSubfolders',true, ... 'LabelSource','foldernames');
The datastore contains 10,000 synthetic images of digits from 0 to 9. The images are generated by applying random transformations to digit images created with different fonts. Each digit image is 28-by-28 pixels. The datastore contains an equal number of images per category.
Display some of the images in the datastore.
figure numImages = 10000; perm = randperm(numImages,20); for i = 1:20 subplot(4,5,i); imshow(imds.Files{perm(i)}); end
Divide the datastore so that each category in the training set has 750 images and the testing set has the remaining images from each label.
numTrainingFiles = 750;
[imdsTrain,imdsTest] = splitEachLabel(imds,numTrainingFiles,'randomize');
splitEachLabel splits the image files in
digitData into two new datastores,
imdsTrain and
Define the convolutional neural network architecture.
layers = [ ... imageInputLayer([28 28 1]) convolution2dLayer(5,20) reluLayer maxPooling2dLayer(2,'Stride',2) fullyConnectedLayer(10) softmaxLayer classificationLayer];
Set the options to the default settings for the stochastic gradient descent with momentum. Set the maximum number of epochs at 20, and start the training with an initial learning rate of 0.0001.
options = trainingOptions('sgdm', ... 'MaxEpochs',20,... 'InitialLearnRate',1e-4, ... 'Verbose',false, ... 'Plots','training-progress');
Train the network.
net = trainNetwork(imdsTrain,layers,options);
Run the trained network on the test set, which was not used to train the network, and predict the image labels (digits).
YPred = classify(net,imdsTest); YTest = imdsTest.Labels;
Calculate the accuracy. The accuracy is the ratio of the number of true labels in the test data matching the classifications from
classify to the number of images in the test data.
accuracy = sum(YPred == YTest)/numel(YTest)
accuracy = 0.9412
Train a convolutional neural network using augmented image data. Data augmentation helps prevent the network from overfitting and memorizing the exact details of the training images.
Load the sample data, which consists of synthetic images of handwritten digits.
[XTrain,YTrain] = digitTrain4DArrayData;
digitTrain4DArrayData loads the digit training set as 4-D array data.
XTrain is a 28-by-28-by-1-by-5000 array, where:
28 is the height and width of the images.
1 is the number of channels.
5000 is the number of synthetic images of handwritten digits.
YTrain is a categorical vector containing the labels for each observation.
Set aside 1000 of the images for network validation.
idx = randperm(size(XTrain,4),1000); XValidation = XTrain(:,:,:,idx); XTrain(:,:,:,idx) = []; YValidation = YTrain(idx); YTrain(idx) = [];
Create an
imageDataAugmenter object that specifies preprocessing options for image augmentation, such as resizing, rotation, translation, and reflection. Randomly translate the images up to three pixels horizontally and vertically, and rotate the images with an angle up to 20 degrees.
imageAugmenter = imageDataAugmenter( ... 'RandRotation',[-20,20], ... 'RandXTranslation',[-3 3], ... 'RandYTranslation',[-3 3])
imageAugmenter = imageDataAugmenter with properties: FillValue: 0 RandXReflection: 0 RandYReflection: 0 RandRotation: [-20 20] RandScale: [1 1] RandXScale: [1 1] RandYScale: [1 1] RandXShear: [0 0] RandYShear: [0 0] RandXTranslation: [-3 3] RandYTranslation: [-3 3]
Create an
augmentedImageDatastore object to use for network training and specify the image output size. During training, the datastore performs image augmentation and resizes the images. The datastore augments the images without saving any images to memory.
trainNetwork updates the network parameters and then discards the augmented images.
imageSize = [28 28 1];
augimds = augmentedImageDatastore(imageSize,XTrain,YTrain,'DataAugmentation',imageAugmenter);
Specify the convolutional neural network architecture.
layers = [ imageInputLayer(imageSize) convolution2dLayer(3,8,'Padding','same') batchNormalizationLayer reluLayer maxPooling2dLayer(2,'Stride',2) convolution2dLayer(3,16,'Padding','same') batchNormalizationLayer reluLayer maxPooling2dLayer(2,'Stride',2) convolution2dLayer(3,32,'Padding','same') batchNormalizationLayer reluLayer fullyConnectedLayer(10) softmaxLayer classificationLayer];
Specify training options for stochastic gradient descent with momentum.
opts = trainingOptions('sgdm', ... 'MaxEpochs',15, ... 'Shuffle','every-epoch', ... 'Plots','training-progress', ... 'Verbose',false, ... 'ValidationData',{XValidation,YValidation});
Train the network. Because the validation images are not augmented, the validation accuracy is higher than the training accuracy.
net = trainNetwork(augimds,layers,opts);
Load the sample data, which consists of synthetic images of handwritten digits. The third output contains the corresponding angles in degrees by which each image has been rotated.
Load the training images as 4-D arrays using
digitTrain4DArrayData. The output
XTrain is a 28-by-28-by-1-by-5000 array, where:
28 is the height and width of the images.
1 is the number of channels.
5000 is the number of synthetic images of handwritten digits.
YTrain contains the rotation angles in degrees.
[XTrain,~,YTrain] = digitTrain4DArrayData;
Display 20 random training images using
figure numTrainImages = numel(YTrain); idx = randperm(numTrainImages,20); for i = 1:numel(idx) subplot(4,5,i) imshow(XTrain(:,:,:,idx(i))) end
Specify the convolutional neural network architecture. For regression problems, include a regression layer at the end of the network.
layers = [ ...
imageInputLayer([28 28 1])
Specify the network training options. Set the initial learn rate to 0.001.
options = trainingOptions('sgdm', ... 'InitialLearnRate',0.001, ... 'Verbose',false, ... 'Plots','training-progress');
Train the network.
net = trainNetwork(XTrain,YTrain,layers,options);
Test the performance of the network by evaluating the prediction accuracy of the test data. Use
predict to predict the angles of rotation of the validation images.
[XTest,~,YTest] = digitTest4DArrayData; YPred = predict(net,XTest);
Evaluate the performance of the model by calculating the root-mean-square error (RMSE) of the predicted and actual angles of rotation.
rmse = sqrt(mean((YTest - YPred).^2))
rmse = single
Train a deep learning LSTM network for sequence-to-label classification.
Load the Japanese Vowels data set as described in [1] and [2].
XTrain is a cell array containing 270 sequences of varying length with a feature dimension of 12.
Y is a categorical vector of labels 1,2,...,9. The entries in
XTrain are matrices with 12 rows (one row for each feature) and a varying number of columns (one column for each time step).
[XTrain,YTrain] = japaneseVowelsTrainData;
Visualize the first time series in a plot. Each line corresponds to a feature.
figure plot(XTrain{1}') title("Training Observation 1") numFeatures = size(XTrain{1},1); legend("Feature " + string(1:numFeatures),'Location','northeastoutside')
Define the LSTM network architecture. Specify the input size as 12 (the number of features of the input data). Specify an LSTM layer to have 100 hidden units and to output the last element of the sequence. Finally, specify nine classes by including a fully connected layer of size 9, followed by a softmax layer and a classification layer.
inputSize = 12; numHiddenUnits = 100; numClasses = 9; layers = [ ... sequenceInputLayer(inputSize) lstmLayer(numHiddenUnits,'OutputMode','last') fullyConnectedLayer(numClasses) softmaxLayer classificationLayer]
layers = 5x1 Layer array with layers: 1 '' Sequence Input Sequence input with 12 dimensions 2 '' LSTM LSTM with 100 hidden units 3 '' Fully Connected 9 fully connected layer 4 '' Softmax softmax 5 '' Classification Output crossentropyex
Specify the training options. Specify the solver as
'adam' and
'GradientThreshold' as 1. Set the mini-batch size to 27 and set the maximum number of epochs to 100.
Because the mini-batches are small with short sequences, the CPU is better suited for training. Set
'ExecutionEnvironment' to
'cpu'. To train on a GPU, if available, set
'ExecutionEnvironment' to
'auto' (the default value).
maxEpochs = 100; miniBatchSize = 27; options = trainingOptions('adam', ... 'ExecutionEnvironment','cpu', ... 'MaxEpochs',maxEpochs, ... 'MiniBatchSize',miniBatchSize, ... 'GradientThreshold',1, ... 'Verbose',false, ... 'Plots','training-progress');
Train the LSTM network with the specified training options.
net = trainNetwork(XTrain,YTrain,layers,options);
Load the test set and classify the sequences into speakers.
[XTest,YTest] = japaneseVowelsTestData;
Classify the test data. Specify the same mini-batch size used for training.
YPred = classify(net,XTest,'MiniBatchSize',miniBatchSize);
Calculate the classification accuracy of the predictions.
acc = sum(YPred == YTest)./numel(YTest)
acc = 0.9486
ds — Datastore
Datastore for out-of-memory data and preprocessing.
For networks with a single input, the table or cell array returned by the datastore has two columns that specify the network inputs and expected responses, respectively.
For networks with multiple inputs, the datastore must be a
combined or transformed datastore that returns a cell array with
numInputs+1) columns containing the predictors and the responses, where
numInputs is the number of network inputs and
numResponses is the number of responses. For
i less
than or equal to
numInputs, the
ith element of the cell
array corresponds to the input
layers.InputNames(i), where
layers is the layer graph defining the network architecture. The last
column of the cell array corresponds to the responses.
The table below lists the datastores that are directly compatible with
trainNetwork. You can use other built-in datastores
for training deep learning networks by using the
transform and
combine functions. These functions can convert the data read
from datastores to the table or cell array format required by
trainNetwork. For more information, see Datastores for Deep Learning.
|Type of Datastore
|Horizontally concatenate the data read from two or more underlying datastores.
|Transform batches of read data from an underlying datastore according to your own preprocessing pipeline.
|Apply random affine geometric transformations, including resizing, rotation, reflection, shear, and translation, for training deep neural networks.
|Apply identical affine geometric transformations to images and corresponding ground truth labels for training semantic segmentation networks (requires Computer Vision Toolbox™).
|Extract pairs of random patches from images or pixel label images (requires Image Processing Toolbox™). You optionally can apply identical random affine geometric transformations to the pairs of patches.
|Apply randomly generated Gaussian noise for training denoising networks (requires Image Processing Toolbox).
|Custom mini-batch datastore
|Create mini-batches of sequence, time series, or text data. For details, see Develop Custom Mini-Batch Datastore.
sequences — Sequence or time series data
Sequence or time series data, specified as an N-by-1 cell array of numeric arrays, where N is the number of observations, a numeric array representing a single sequence, or a datastore.
For cell array or numeric array input, the dimensions of the numeric arrays containing the sequences depend on the type of data.
|Vector sequences
|c-by-s matrices, where c is the number of features of the sequences and s is the sequence length.
|2-D image sequences
|h-by-w-by-c-by-s arrays, where h, w, and c correspond to the height, width, and number of channels of the images, respectively, and s is the sequence length.
|3-D image sequences
|h-by-w-by-d-by-c-by-s, where h, w, d, and c correspond to the height, width, depth, and number of channels of the 3-D images, respectively, and s is the sequence length.
For datastore input, the datastore must return data as a cell array of sequences or a table whose first column contains sequences. The dimensions of the sequence data must correspond to the table above.
Y — Responses
Responses, specified as a categorical vector of labels, a numeric array, a
cell array of categorical sequences, or cell array of numeric sequences. The
format of
Y depends on the type of task. Responses must
not contain
|Image classification
|N-by-1 categorical vector of labels, where N is the number of observations.
|Sequence-to-label classification
|Sequence-to-sequence classification
N-by-1 cell array of categorical sequences of labels, where
N is the number of observations. Each sequence has
the same number of time steps as the corresponding input sequence after
applying the
For sequence-to-sequence classification problems with one observation,
sequences can also be a vector. In this case,
Y must be a categorical sequence of
|2-D image regression
|3-D image regression
|Sequence-to-one regression
|N-by-R matrix, where N is the number of sequences and R is the number of responses.
|Sequence-to-sequence regression
N-by-1 cell array of numeric sequences, where N
is the number of sequences. The sequences are matrices with
R rows, where R is the number of
responses. Each sequence has the same number of time steps as the
corresponding input sequence after applying the
For sequence-to-sequence regression problems with one observation,
sequences can be a matrix. In this case,
Y must be a matrix of responses.
Normalizing the responses often helps to stabilize and speed up training of neural networks for regression. For more information, see Train Convolutional Neural Network for Regression.
tbl — Input data
Input data, specified as a table containing predictors in the first column and responses in the remaining column or columns. Each row in the table corresponds to an observation.
The arrangement of predictors and responses in the table columns depends on the type of problem.
|Image classification
Categorical label
|Sequence-to-label classification
Absolute or relative file path to a MAT file containing sequence or time series data.
The MAT file must contain a time series represented by a matrix with rows corresponding to data points and columns corresponding to time steps.
Categorical label
|Sequence-to-sequence classification
Absolute or relative file path to a MAT file. The MAT file must contain a time series represented by a categorical vector, with entries corresponding to labels for each time step.
For classification problems, if you do not specify
responseName, then the function, by default, uses
the responses in the second column of
|Image regression
|Sequence-to-one regression
Absolute or relative file path to a MAT file containing sequence or time series data.
The MAT file must contain a time series represented by a matrix with rows corresponding to data points and columns corresponding to time steps.
|Sequence-to-sequence regression
Absolute or relative file path to a MAT file. The MAT file must contain a time series represented by a matrix, where rows correspond to responses and columns correspond to time steps.
For regression problems, if you do not specify
responseName, then the function, by default, uses
the remaining columns of
tbl. Normalizing the responses
often helps to stabilize and speed up training of neural networks for
regression. For more information, see Train Convolutional Neural Network for Regression.
Responses cannot contain
NaNs. If the predictor data
NaNs, then they are propagated through the
training. However, in most cases, the training fails to converge.
Data Types:
layers — Network layers
Layer array |
LayerGraph object
Network layers, specified as a
Layer array or a
LayerGraph object.
To create a network with all layers connected sequentially, you can use a
Layer array as the input argument. In this case, the returned network is a
SeriesNetwork object.
A directed acyclic graph (DAG) network has a complex structure in which layers can have
multiple inputs and outputs. To create a DAG network, specify the network architecture
as a
object and then use that layer graph as the input argument to
For a list of built-in layers, see List of Deep Learning Layers.
options — Training options
TrainingOptionsSGDM |
TrainingOptionsRMSProp |
Training options, specified as a
TrainingOptionsRMSProp, or
TrainingOptionsADAM object returned by the
trainingOptions function. To
specify solver and other options for network training, use
net — Trained network
SeriesNetwork object |
DAGNetwork object
Trained network, returned as a
SeriesNetwork object or a
DAGNetwork object.
If you train the network using a
Layer array as the
layers input argument, then
net is a
SeriesNetwork object. If
you train the network using a
LayerGraph object as the input argument, then
net is a
DAGNetwork object.
info — Training information
Training information, returned as a structure, where each field is a scalar or a numeric vector with one element per training iteration.
For classification problems,
info contains the
following fields:
TrainingLoss — Loss function
TrainingAccuracy — Training
ValidationLoss — Loss function
ValidationAccuracy — Validation
BaseLearnRate — Learning
FinalValidationLoss — Final
validation loss
FinalValidationAccuracy — Final
validation accuracy
For regression problems,
info contains the following fields:
TrainingLoss — Loss function
TrainingRMSE — Training RMSE
ValidationLoss — Loss function
ValidationRMSE — Validation RMSE
BaseLearnRate — Learning
FinalValidationLoss — Final
validation loss
FinalValidationRMSE — Final
validation RMSE
The structure only contains the fields
FinalValidationLoss ,
FinalValidationAccuracy and
FinalValidationRMSE when
specifies validation data. The
option of
trainingOptions determines which iterations
the software calculates validation metrics. For iterations when the software
does not calculate validation metrics, the corresponding values in the
structure are
If your network contains batch normalization layers, then the final validation metrics are often different from the validation metrics evaluated during training. This is because batch normalization layers in the final network perform different operations than during training.
Deep Learning
Toolbox™ enables you to save networks as .mat files after each epoch during training.
This periodic saving is especially useful when you have a large network or a large data set,
and training takes a long time. If the training is interrupted for some reason, you can
resume training from the last saved checkpoint network. If you want
trainNetwork to save checkpoint networks, then you must specify the
name of the path by using the
'CheckpointPath' name-value pair argument
trainingOptions. If the path that you specify does not exist, then
trainingOptions returns an error.
trainNetwork automatically assigns unique names to checkpoint network
files. In the example name,
net_checkpoint__351__2018_04_12__18_09_52.mat, 351 is the iteration
2018_04_12 is the date, and
18_09_52 is the
time at which
trainNetwork saves the network. You can load a checkpoint
network file by double-clicking it or using the load command at the command line. For
load net_checkpoint__351__2018_04_12__18_09_52.mat
trainNetwork. For example:
All functions for deep learning training, prediction, and validation in
Deep Learning
Toolbox perform computations using single-precision, floating-point arithmetic.
Functions for deep learning include
classify, and
The software uses single-precision arithmetic when you train networks using both CPUs and
[1] Kudo, M., J. Toyama, and M. Shimbo. "Multidimensional Curve Classification Using Passing-Through Regions." Pattern Recognition Letters. Vol. 20, No. 11–13, pp. 1103–1111.
[2] Kudo, M., J. Toyama, and M. Shimbo. Japanese Vowels Data Set. https://archive.ics.uci.edu/ml/datasets/Japanese+Vowels
To run computation in parallel, set the
option to
'multi-gpu' or
trainingOptions to set the
'ExecutionEnvironment' and supply the
options to
trainNetwork. If you do not
'ExecutionEnvironment', then
trainNetwork runs on a GPU if available.
For details, see Scale Up Deep Learning in Parallel and in the Cloud.
DAGNetwork | Deep Network
Designer |
LayerGraph |
SeriesNetwork |
analyzeNetwork |
assembleNetwork |
classify |
predict |


text:
Q-Lab is a worldwide leader in the manufacture and sale of weathering, lightfastness, and corrosion test equipment
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Q-Lab Corporation recently celebrated its third annual Westlake Police and Firefighters Appreciation Day. The event, held at its Canterbury Road headquarters, honors the men and women who put their lives at risk every day in support of the local community.Several dozen men and women from the Westlake police and fire departments enjoyed a catered buffet, refreshments, outdoor games and conversation. Westlake Mayor Dennis Clough was on hand to enjoy the festivities, as was as K-9 officer Cash, who was hit with the Q-Lab employees."Civilized life would be impossible without police protection," said Doug Grossman, president and CEO of Q-Lab. "The police are required to put themselves in difficult situations in order to protect us. Fire has been destroying lives ever since humans built the first huts out of sticks and thatch. Nowadays, when fire gets out of hand, we, the citizens, can run away – because we know that the firefighters will run toward the danger."Grossman continued, "We are blessed with excellent police and fire departments in Westlake. Their professionalism is one reason this is such a safe and tranquil community. We want to express our sincerest appreciation for the dedicated men and women who stand ready to put themselves in harm's way on our behalf."
For a photo gallery of the event, please visit the Westlake Villager website.
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subset: commoncrawl


text: Blue and White Uncategorized|June 24, 2015 Hi guys!!!! I went shopping for a gift at one of my favorite local boutiques in Corona del Mar, Holly Sharp. It has such adorable pieces and is beautifully decorated. It was the perfect place to take some great photos. I decided to wear this blue and white combination. I just love wearing white jeans in the summer. They are so versatile and you can wear them with anything. I'm wearing Flying Monkey white boyfriend jeans and they are so comfortable. If boyfriend jeans aren't your favorite you may want to try white skinnies or even flared styles. I paired my white jeans with this great blue Lush shirt and added some fun gold jewelry and gold sandals and my outfit was complete. I hope you all try investing in a pair of white jeans. I promise that you will have so many things in your closet already to wear them with. Please add comments and let me know how your styled your white jeans. Thanks to Cathy Cordas for photos and don't forget to follow me on Instagram, Facebook, Twitter and Bloglovin. Happy reading !!!!! 1 Comment Share


text:
|A first date at this movie was probalby the worst ever,
and ended with a small claims court lawsuit.
It is a "reality show" in which people go on first dates and see if they establish a connection. It's oddly entertaining.
Some couples seem to hit it off. Some dates are terrible. The guilty pleasure is watching how people looking for love find connections.
However, the worst date ever wasn't on this TV show. It was in Austin Texas, when, according to the Austin (Texas) American Statesman, Brandon Vezmar, 37, of Austin took a 35 -year-old woman on a date to see a 3D showing of the movie "Guardians of the Galaxy, Vol. 2"
Veznar said the woman kept texting during the movie, and he got annoyed. "This is, like, one of my biggest pet peeves," Veznar said.
Yeah, texting during a movie can be annoying, but what Vezmar did next was a little over the top. He's suing the woman for $17.31, the cost of the movie ticket.
He was particularly peeved that she got annoyed by Veznar's texting scolding, so she left, leaving him without a ride home.
When the Austin American-Statesman informed the woman she was being sued by Vezmar, she said, "Oh my God.....This is crazy."
Well, yes.
Sometimes, two annoyinig people can make magic together. However, in Austin, an obnoxiously texting woman and a litigious man couldn't make it work.
How sad. Or not.
On the bright side, the CEO of another Austin theater, the Alamo Drafthouse, has offered a $17.31 gift certificate to settle the lawsuit.


text:
Deadline to send in materials for the July issue is May 15!
(Send NOW if possible)
- E-mail: firstname.lastname@example.com
- Fax: 256.435.9546
- Phone: 256.435.9356
(or toll free at 1.877.338.3397)
- Mail: P.O. Box 520, Jacksonville, AL 36265
When will I get the May issue?
The May issue is currently printing and mailing. Most churches' HTH should arrive between May 15 and June 15. Dated materials will be given priority.
What events go in the July issue?
Any event dated between July 7–September 15 should go in the July issue.
FREE BOOK: If someone is converted through HTH, we'll send a free book for you to present to him or her. Please e-mail us at firstname.lastname@example.com to request this free material.
47 Bible Study Requests! We have received 47 requests for Bible studies since our last issue and have passed those along to HTH congregations. Year-to-date studies: 408.
Conversion in Arnold, Missouri: Roger Leonhardt sent us this message: "We have a new member at Arnold. He came in from House to House. He was baptized a week and a half ago. He drives a tanker truck and spends a lot of time in the truck listening to podcasts. He's looking for sound info to listen to.
The cool thing is he and his wife were Bible class teachers at the mega Baptist church in Arnold. So you never know, we might get some of his friends. So just another story about how you and the guys in Alabama are making a real difference in the world."
Conversion in Coldwater, Michigan: David Sherfield is the minister at the Coldwater church of Christ. He emailed us to say, "The Sept/Oct issue has produced some fruit. One woman sent in for two Bible lessons written by Allen, and she has finished 16 lessons. She was baptized Sunday morning. She is 83-years-old. She said she had been to 8 churches in town but they were not teaching Bible." We have a new baby sister in Christ, who just happens to be 83-years-old!
Conversion in Centerville, Tennessee: Paul Vaughn of the Shipps Bend Church of Christ in Centerville, Tennessee, wrote, "We had a baptism as a direct result of HTH. The woman is continuing to study with us. We have had seven extra Bible studies, and she is doing great!"
Conversions in Los Banos, California: Glen Bowman of the Los Banos church of Christ reports, "I thought that you'd like to know that two people were baptized Sunday who started coming from the summer mailing that we did through you! I'm not sure exactly what details that I should share, but here goes: Melissa came with her daughter the week before VBS in July (we advertised for that in our House to House mailing). The next Sunday Melissa came back, but not her daughter. One of the days of VBS, Melissa and David (her husband) came without their daughter and sat in the adult class. He didn't come much, but Melissa kept coming on and off, and sometimes her daughter came, too. She started coming more regularly again recently, and David reached out to me a few days before he was baptized for help with things going on in his life. That Sunday (10/29/17) I offered the invitation and they both came forward. I talked to them and studied with them a bit beforehand to make sure they understood, and they both seemed motivated to be baptized then. Most of the members of the church stayed behind until after the study was over and celebrated their baptism with them!"
Study in Natchez, Mississippi: Denny Calloway from the Briarwood Church of Christ in Natchez, Mississippi, sent this message: "We have had one person request and complete a Bible Correspondence Course. God bless!"
House to House Heart to Heart is now a monthly publication!
2018 Topics
JULY • Five Views of Baptism from Mark 16:16
AUGUST • How to Face Your Golgotha
SEPTEMBER • The First Christian in Europe
OCTOBER • Salvation Is Free, but It Is Not
NOVEMBER • Is Christianity the Problem?
DECEMBER • Finding God's Treasure
Your congregation can now do twelve issues of House to House a year! The program is flexible, so you can do anything from once a month to once a year. We will even provide a free website for your congregation. To get started just visit get.housetohouse.com, e-mail us at email@example.com, or call 1.877.338.3397.
In July 2018, more than 1000 churches of Christ have committed to send House to House/Heart to Heart to their communities. The issue will feature an article on baptism based on Mark 16:16 . We hope to put this issue into the hands of 3,300,000 American
families (the biggest HTH issue ever printed). An average American household has 2.58 people, so we could reach 8.5 million citizens. We will need the help of 400 more congregations to reach this many citizens. Will you help us?


text:
BROOKLYN — Recently exonerated prisoner John Bunn, who learned to read while in prison, is now helping others by launching a book drive to benefit incarcerated men and women.
"I know there are a lot of individuals that might not be fortunate enough to have anyone that's on the outside to send them any literature to read," explained Bunn. "It might keep them going."
Reading helped Bunn stay optimistic while he spent over 15 years in prison.
"It freed my mind and opened my thoughts."
Bunn was first arrested in August 1991 at the age of 14. He was charged in the shooting of two off-duty correction officers.
Bunn maintained his innocence, but he was still convicted.
"I took it for granted that the system that I was innocent that I was going to be alright."
When Bunn went into prison he was illiterate, but he became determined to learn how to read. He taught himself using the dictionary and children's books
Years later, he used his reading skills to help fight his case.
In November of 2016 his conviction was overturned and Bunn hopes to be fully exonerated later in 2017.
Now, he is helping others by launching the book drive at the home of his mentor.
Donations for the book drive may be sent to:
376 Kosciuszko Street
Brooklyn, New York 11221


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Domestic violence.jpeg.JPG
Exposing Huntsville-area citizens and business professionals to the realities of domestic violence in the workplace will be Peace@Work founder Johnny Lee's mission during a free seminar at the Verizon Wireless Call Center on Thursday. (Photo courtesy of stock.xchng)
HUNTSVILLE, Alabama – Exposing Huntsville to the realities of domestic violence in the workplace will be Peace@Work founder Johnny Lee's mission during a free seminar at the Verizon Wireless Call Center on Thursday.
Peace@Work is an agency dedicated to stopping violence in the workplace. The organization helps abuse victims retain their jobs and educates employers about work performance issues related to domestic violence.
"Victims often show up late to work, are being held back from going to work, are interrupted at work and are not able to do their jobs," Lee said. "...If you have a fair number of female employees, there's a very good chance you do have some job performance issues and interruptions."
Peace@Work estimates one in five women will experience abuse at some point in their lives. About 75 percent of females who are killed at work, with the exception of robbery, are murdered by an ex-partner, while six out of 10 domestic violence victims either quit or are fired from a job because of their abusive situation, according to the agency. In a 2011 Violence Policy Center study, Alabama ranked second nationwide in women being killed by men.
The Centers for Disease Control and Prevention estimates the yearly cost of lost productivity due to domestic violence is about $727 million, with more than 7.9 million paid work days – the equivalent of more than 32,000 full-time jobs – lost each year to an often silent but growing epidemic.
The "Spill Over Threat" event will take place from 9 a.m. to noon Thursday at 475 Quality Circle in Huntsville. A light breakfast and sack lunch will be provided, but attendees are asked to register first at Peace@Work's website.
"This seminar is open to anyone, human resource professionals, small/large business owners, community volunteers and concerned citizens," said Holly Lollar of The Lollar Group in Birmingham.
Send Lucy Berry an email at email@example.com.


text: Notary Bulletin New Russian Law Creates Nationwide, Unified Notarial Database By NNA Staff on November 02, 2012 in Notary News, International Russia last month enacted a new law creating rules of operation designed to improve the quality of notarial services throughout the country, as well as establishing a nationwide, federal database of all notarial acts. "The federal law aims to protect the proprietary rights of citizens, to prevent fraud in civil transactions, and to improve the quality of notarial services and the transparency of notarial activities," according to a government statement. Under the new mandates, Notary officials will be required to submit data for each of their notarial acts to a Unified Information System of Notaries Publicthat will allow the government to create a comprehensive database of all registered notarized documents. The registry will contain listings of notarized wills, notices on will revocation, powers of attorney and orders of their revocation, open inheritance cases, notarized marriage contracts and movable property pledge notices. In doing so, the law creates a "common information space" to be shared between Notaries, the Federal Tax Service, the Federal Bailiff Service, the Federal Registration Service, and other executive government authorities. These new updates to Russian laws coincide with a slew of global changes to Notary laws that are helping to enhance and better regulate the Notary profession worldwide. Email Share Leave a Comment Required * Name * Email *(for verfication purposes only) Comment * Enter the text shown in this image *(text is case sensitive)All comments are reviewed and if approved, will display.


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Each Quarter at Juda HS, students must read a minimum of 2 books. In Algebra, Geometry, Algebra II and Pre-Calculus we build upon the books the students read.
Because math is everywhere.... Thus students in my class must create an engaging story problem based on a book they read each quarter.
Academics > High School > Juda High School Math >


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If your mouth is suddenly burning but you haven't eaten spicy food, you may be asking yourself what could cause the unpleasant sensation. Burning mouth syndrome is one possible cause, but just what is burning mouth syndrome exactly?
Burning mouth syndrome is a chronic or recurring condition causing a burning sensation in the mouth. The burning can occur in the mouth on the lips, tongue, palate, throat and cheek area and it can become so intense that it feels as if you actually scalded your mouth. This syndrome is also sometimes called stomatodynia or glossodynia.
In addition to the burning sensation, some other issues that occasionally accompany burning mouth syndrome, including:
- Dry mouth (xerostomia)
- Sore mouth
- Tingling sensation in the mouth
- Numbness in the mouth or tongue
Possible Causes
Doctors and dentists are not always able to find the cause of this unpleasant and painful disorder. According to the American Dental Association and the Mayo Clinic, it has been linked to multiple conditions — most of which require a medical diagnosis to confirm — including:
- Menopause or hormonal changes
- Peripheral nervous system problems
- Central nervous system problems
- Diabetes
- Xerostomia, or dry mouth
- Oral issues (tongue thrusting, grinding of teeth)
- Oral thrush (Fungal infection of the mouth)
- Acid reflux
- Geographic tongue
- Nutritional deficiencies
- Ill-fitting dentures
- Allergies
- Anxiety and stress
Medical Solutions
It is important to see your physician or dentist for an examination and oral evaluation. They will review your medical history, determine what is the cause of this problem and determine next steps for diagnosis. Medical testing includes, blood tests, salivary measurements to confirm you have a reduced saliva flow, biopsy in the oral cavity, allergy testing and radiographic imaging. After testing, if a medical cause is found, your dentist or doctor might recommend any number of prescription solutions, including saliva replacement products, medications that help control nerve pain, treatment of oral candidiasis and relieving stress and anxiety.
Short-Term Relief
For immediate relief, cut acidic foods and drinks from your diet. Replace acidic foods with mild or alkaline foods, such as bananas, raisins, dried apricots, dairy products and potatoes.
Tobacco, gum and highly acidic foods and drinks aggravate tender mouth tissues. Therefore, though not a long-term solution, avoiding them for a couple of weeks is a quick way to reduce discomfort to some degree. Keep some cool water on hand for instant relief. Also, to keep teeth and gums clean during an outbreak of burning mouth syndrome, try to use products designed for sensitive teeth, and if you really want to use mouthwash, look for one designed to alleviate the symptoms of dry mouth.
You don't have to suffer with burning mouth syndrome, but you'll probably need help from a health care professional to find the cause and get true relief. The long list of numerous possible causes and solutions makes it hard to find a home cure, so you may be left wondering, "What is burning mouth syndrome?" However, you can get a bit of short-term relief through some simple dietary changes.


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Laura MacDonald and William A. Evertt's edited collection, The Palgrave Handbook of Musical Theatre Producers, was published by Palgrave in April. MacDonald has also published her article, "The Sound of Musicals in China: Japan and Korea have embraced and nurtured Western-style musicals. Can China be far behind?" in American Theatre's special China issue.
Erika T. Lin (Associate Professor, Ph.D. Program in Theatre, The Graduate Center, CUNY) was recently elected to the Board of Trustees for the Shakespeare Association of America and will serve as the Chair of the Program Committee for their 2019 conference. She welcomes suggestions from ASTR members for building bridges between the two organizations.
C. David Frankel directed The Realistic Joneses by Will Eno and Grounded by George Brant for the Tampa Repertory Theatre. He is about to start rehearsals for the final show of the season, The Other Place by Sharr White. This summer he will direct the Excellence in Playwriting Award-winning play, The Censor, by David L. Williams, at the Association for Theatre in Higher Education Annual Conference. He also serves as assistant director of theatre at the University of South Florida.
Lisa A. Freeman's (Professor and Head of English, U. of Illinois at Chicago) new book, Antitheatricality and the Body Public was just published by the University of Pennsylvania Press. The work investigates the publics that are called into being, cultivated, and set in competition with one another as an integral part of antitheatrical controversies beginning with William Prynne's Star Chamber Trial in 1634 and ending with the Supreme Court decision in NEA v. Finley in 1998.
Jill Stevenson was recently promoted to full Professor at Marymount Manhattan College. She has also spent this past year co-chairing MMC's Institutional Strategic Planning process. She had two articles published recently: "Playing with Time's End: Cultivating Sincere Contrition in Medieval Last Judgment Performances, in The Routledge Companion to Early Drama and Performance, edited by Pamela King, and Passion Playing: An Interview with Sarah Ruhl on the Shaping Influence of Oberammergau, in The Oberammergau Passion Play: Essays on the 2010 Performance and the Centuries-Long Tradition, edited by Kevin J. Wetmore, Jr. This second volume was dedicated to Professor Claire Sponsler.
Kimberly Jannarone won a National Humanities Center Fellowship in 2017-18 to complete her book, Mass Performance. In 2016, she directed and produced a multi-space, devised production of The Odyssey, and she gave a Leonardo Arts and Science Evening Rendezvous talk on the production. Her chapter "From Edge to Center and Back Again: Firmin Gémier and the Invention of People's Theater in France" appeared in Preservation, Radicalism, and the Avant-Garde Canon. She contributed to the Imaginary Theaters project. Her co-translation of Marion Aubert's Debâcles premiered at the Yale Cabaret (2017). She co-curated Yale's Hot Topics Lecture Series (2016). She gave talks at Yale, Tulane, UCSC, ASTR, PSi, and CDC.
Andrew Walker White, currently serving as Humanities faculty at Stratford University, will be lecturing selected senior faculty on traditional theatre and Christian ritual at Uppsala University, and will participate in a workshop there on "Religious Poetry and Performance in Byzantium." He adapted and assisted Dr. Walter Puchner on his forthcoming book from Cambridge University Press, Greek Theatre between Antiquity and Independence. White's second book with Cambrige, From the Age of Theatre to the Age of Rhetoric, is currently in proposal phase. White continues to serve as theatre critic for Broadway World, Maryland Theatre Guide, and DC Metro Theatre Arts.
Dorothy Chansky was promoted to the rank of Professor at Texas Tech University, effective Fall, 2017. In July, 2017, she will become President of the American Theatre and Drama Society. Dorothy's 2015 book Kitchen Sink Realisms: Domestic Labor, Dining, and Drama in American Theatre (University of Iowa Press), won a 2017 President's Book Award at Texas Tech.
Elizabeth Son, assistant professor in the Department of Theatre at Northwestern University, was awarded the Florence Howe Award for Feminist Scholarship by the Women's Caucus for the Modern Languages (WCML). WCML is an allied organization of the Modern Language Association. Each year, the Florence Howe Award recognizes two outstanding essays by a feminist scholar, one from the field of English and one from the field of foreign languages. Son received the award (in the field of foreign languages) for her article: "Korean Trojan Women: Performing Wartime Sexual Violence, in the Fall 2016 issue of Asian Theatre Journal.
Laurence Senelick (Tufts University) has been inducted into the College of Fellows of the American Theatre. He has just published translations of Sophocles' Oedipus the KingandFrom Marriage to Divorce, five one-act plays of Georges Feydeau (Broadway Play Publishers). This Fall will see the publication of Jacques Offenbach and the Making of Modern Culture (Cambridge University Press). He recently lectured at the Boston Athenaeum, Boston University and Stanford University, and will present papers at the ALA Conference in Boston and the ASTR meeting in Atlanta.
Daniel Sack (Assistant Professor in English and Commonwealth Honors College, UMass Amherst) published the edited collection Imagined Theatres: Writing for a Theoretical Stage with Routledge in April 2017. The volume collects hypothetical performances written by close to 100 theorists and artists of the stage. Sack is also the founding editor of an accompanying web journal that will feature themed issues and user-submitted, peer-reviewed content. A first issue is forthcoming later this summer.
Remember Me
7/9/2020Associate Editor Needed for Journal
6/25/2020From ASTR President Marla Carlson, June 2020
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P.O. Box 922 | Santa Cruz, CA 95061
Phone: +1 628-222-4088 | Email: firstname.lastname@example.com


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Different quality and design tower fans are now available in online and market. But few of the top-notch brands among them succeeded to win the trust of the real consumer. Honeywell is one of the most popular that produce good quality tower fan. Honeywell HY-280 Quietset whole room tower fan is one of their best product which got many 5 star reviews in top e-commerce sites like Amazon, eBay, and Walmart. It is a great blend of functionality with an attractive design. New added functionality features is something that makes this product more desirable than other tower fans. Let's take a look at some of its features to make a better judgment about the product.
[easyazon_image align="center" cart="n" cloak="y" height="1500″ identifier="B00B4BJZ9G" locale="US" localize="y" nw="y" nf="y" src="https://www.topcoolingfan.com/wp-content/uploads/2018/01/51rNHLKmARL.jpg" tag="towerfan07-20″ width="1500″]
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Quick Specification
- Product Weight: 9.9 Pounds.
- Product Model Number: HY-280.
- Manufactured by: Kaz
- Made in: USA
- Available Colors: Black
- Heights: 32.8 inches
- Base height: 7.2 inches
- Voltage Rating: 110V
Sneak Peek of Features of Honeywell HY-280
- Eight speeds setting mode
- Electric touch bottom for controlling the fan
- This fan also has a Remote control that makes it easier to operate
- The oscillating setting can be used when you needed.
- Digital display on the top of the tower fan.
- Auto shut off timer at 1, 2, 4 & 8 hours.
- Adjustable Thermostat mode, so it will turn off or on automatically depending on the room temperature
Our Experts Video Review
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Our Experts Options and Overview On Different Aspects Of Honeywell HY-280 Tower Fan
The design of Honeywell Quiet set whole room tower fan is nearly parallel to the products available in this range. A basic plus is that unlike other fans, it comes with remote control. The color combination used is attractive. The metallic silver top panel with the black frame goes well with any interior pattern.
Its lightweight makes it quite convenient to carry it from one corner of your house to other according to your requirements. It will blend in quite well with the office environment due to its color variants and simple sleek design. It seems perfect for use at an office as well as home.
The control panel is built well and is user-friendly (easy to operate). It is easy to assemble and install too. You will not require the assistance of an expert to fix it up. This Honeywell fan is very easy to clean and it will definitely save your money and time. The base of Honeywell HY-280 can be assembled effortlessly.
Honeywell HY-280 adheres to most of its claims. As the name suggests, the tower fan is quiet in operation. Notwithstanding, there are some complaints (though very few) of noise at highest speed.
The tower fan has got eight speeds instead of three speeds that we normally find in tower fans belonging to this category, which is a significant plus. The oscillation and breeze settings work significantly well. The fan can be set according to customer preferences from "Sleep" to "Power Cool" mode.
A thermostat has been introduced into the design which will help you maintain the room temperature at a desired value. The tower fan will automatically turn off or on when the room temperature changes. There is a timer on the fan which helps you set a particular time after which it will turn off.
The maximum time span available is eight hours, which is sufficient. But one notable drawback is that there is no previous setting storage on the fan. That means if the fan gets off once, you will have to make the settings according to you again.
The remote controller works perfectly and is an addition to your convenience.
The control panel is designed well but the panel light i.e. the LEDs are slightly bright. They tend to emit a piercing blue light which is a little annoying, particularly if you get disturbed by lights during sleep. There is also a complaint about the panel buttons getting difficult to use after repeated use.
Honeywell HY-280 is a user-friendly fan except for the bright LEDs when it is dark. It is quiet in operation for most of its speed.
The timer and thermostat enhance overall product quality. It keeps the users less bothered about the room temperature.
The design is good and the fan goes well with any surrounding.
All the components are made of high-quality materials.The motor is smooth and quiet in operation. The fan is designed to work for a long time, but some of its parts tend to fail after repeated use.The control panel is one of the sections that get damaged in the long run. The LEDs and on/off button does not work after prolonged use. The remote controller is an alternative, but the control panel to an extent does not match the quality of other parts in the product.
One of the best achievements in product design is the little noise. The fan is extremely quiet in operation. So there is the least probability of your work or sleep getting interrupted due to the noise factor. The noise rises slightly at the highest speed, but overall it is much quiet in comparison to other fans of the same category.
Honeywell tower fan stands true to almost all of its claims. The fan is quiet in operation; helps maintain the room temperature using the thermostat and the timer. It can be made to oscillate or come to a standstill accordingly. The fan is powerful and can be used for medium to large sized rooms. It has got eight-speed, and the different modes available on the panel helps a lot.
- An outstanding multi-functional fan. You can use it as a fan, exhaust fan or air ionizer.
- It took very little time to put the parts together.
- More speed setting options than other Honeywell tower fan models.
- Blows the air like a champ.
- This Honeywell tower fan is pet-friendly.
- This fan produces loud noise when you are using its temperature setting option. Otherwise, you can't notice the noise in normal speed mode.
- Bottom of the fan looks very cheap.
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- What is the function of the thermostat in this tower fan?
Answer: Thermostat work as a temperature sensor. It senses the temperature of the room air. If the temperature of the room is greater than the temperature set in thermostat, the fan will automatically turn ON. Otherwise, it will remain to turn OFF. You have to set the temperature thermostat manually. In the display of fan will show the temperature set on the thermostat.
- How long is the power cord for this fan?
Answer: The length is between 5-6 feets, and this length is enough for you.
- Are there any lights available for the fan?
Answer: No. This fan doesn't have any lights.
- Does this fan come with air ionizer?
Answer: This model of Honeywell tower fan doesn't have air ionizer.
- What is the battery size of the remote control?
Answer: This fan needs two AA size battery for remote control.


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• Turned down the offer to portray Milada Horáková in Milada (2017), eventually played by Ayelet Zurer.
• Rumored to star in the Arthur Miller based film A View from the Bridge (2012) but suddenly she wasn't attached anymore.
• Was considered for a role in The Dark Knight Rises (2012).
• Turned down the role of Lynn Childers in Machine Gun Preacher (2011) as she had become pregnant with her daughter Gytta.
• Were rumored to star in Love, Scotch and Death (2011) together with Michael C. Hall but there has been no more reports around the project.
• Was said to be in negotiations to join Shirley MacLaine and Vera Farmiga in the The Locals (2011) but the project never happened.
• Was originally cast as Wallis Simpson in Madonna's W.E. (2011). She met with Madonna for tea to discuss the role, but ultimately dropped out due to her second pregnancy. Andrea Riseborough was then cast instead.
"Yes. Madonna and I had met several times. We wanted to embark on that working relationship, and then I got knocked up! My expanding waistline was not gonna cut it. But it was nice to shoot the shit with Madonna.
• Did not get the role of the cancer patient in Pride and Glory (2008), it went to an English actress named Jennifer Ehle.
• Met with Darren Aronofsky to discuss her taking a role in The Wrestler (2008). Farmiga could not envision herself coupled with Mickey Rourke and passed on the project. Marisa Tomei was eventually cast.
"I haven't passed on anything that I… oh, yeah, but I don't regret it. It wasn't an offer, but I met Darren Aronofsky for The Wrestler for the Marisa Tomei role. I didn't see the coupling of me and Mickey Rourke. It wasn't an offer by any means, so it's not fair to say. It was just a sit-down meeting."
• Auditioned for Grindhouse (2007) for which she would have played a dancer and Rosario Dawson got the part.
"I think Rosario Dawson got that one."
• Auditioned, and was closely considered, for the role of Jude Quinn in I'm Not There. (2007) but Cate Blanchett was cast instead.
"The minute I knew Cate was interested in the role, I knew it wasn't going to happen."
"This is what Cate Blanchett will win an Oscar for. I lost this part to her. Next time. It could be different next time."
• Did an audition for a movie called Savages (2007) a family drama. On that audition tape, she was wearing a jeans jacket and smoking a cigarette.
"Oh, God ó Iím awful in this. Thank God I didnít get it."
• Tried out for Casino Royale (2006) and we think she was going for the part which Eva Green got.
"Did a screen test in London for it. I loved things about the script, but I probably sabotaged myself. I just didnít feel it in my gut."
"The character was Bond's first love, he never really got over her, and those emotions started to interest me. And to be honest, the whole process of auditioning for that role was fascinating, like visiting some other acting stratosphere. I flew to London. They took me to a dressing room and gave me the same kind of fake breasts that Angelina Jolie wore in the first Tomb Raider film. It was kind of fun in the end, but I also knew I wouldn't get the part."
• Rumored to have been auditioned for Thank You for Smoking (2005) and we are guessing it was for Maria Bello's part.
• Auditioned for the lead in Million Dollar Baby 2004 but it went to Hilary Swank instead.
• Rumored to have been auditioned for The Cooler (2003) and we are guessing it was for Maria Bello's part.
• Was considered for a part in Bringing Out the Dead (1999) but it went to Patricia Arquette.
"Patricia Arquette ended up getting that part, but there was a real ease between us. The next thing I know Marty calls me on my cell phone about rehearsals on The Departed."


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This exotic deciduous tree comes to life in late-spring with the emergence of wonderful, fern-like foliage – and reaches a crescendo of colour in mid-late summer when the incredible, fluffy, bright pink flowers cover every branch – each one carrying a lovely fragrance! Hardy enough to withstand all but the worst frosts, it is ideal for a pot or sunny border.
Also known as the Pink Silk Tree, Albizia is ideal as a feature plant in Mediterranean-style gardens, where the fine foliage makes a particulalry attractive feature in its own right.
Hardy throughout most of the UK, the silk tree benefits from planting near a south-facing wall for a little winter protection, helping it to retain its leaves for a little longer into the autumn.
Fully deserving its coveted RHS Award of Garden Merit, you can be sure that this is a proven garden performer, guaranteed to be suitable for UK gardeners at every level of experience. You can therefore plant this in the garden with confidence, for stunning displays for many years to come.
Reaching up to 8 x 4m in 20 years, you will recieve an established young plant in a 3L pot.
Albizia is easy to care for and generally problem free - plants grown under glass may need a restrictive prune after the first flush of flowers.
Otherwise, prune silk trees in winter or early spring, reducing the stems to fit the available space, and removing any dead or damaged branches entirely.


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Old Montreal's Outdoor Restaurant & Terrace.
Riva MONTREAL OUTDOOR RESTAURANT & TERRACE
2 de la Commune St W
Montreal, Canada
Closed until Summer 2020
Riva will be your favorite place in Old Port for the Summer.
Riva is Old Montreal's hottest new terrace and outdoor restaurant! Located in the heart of the Old Port, the beautiful terrace is more than just a Prosecco bar. In addition to its vast selection of Proseccos, champagnes, wines and unique cocktail list, Riva offers a delicious restaurant menu of homemade Al Taglio pizzas, salads, gelatos and more! From an enjoyable and affordable outdoor lunch to happy hour with office colleagues, our terrace is always ready for you!


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Brown the onions.
Take oil in a pan and add minced meat in it.
Now add salt and ginger garlic paste in the above pan.
Now add kachri powder and red pepper in it.
Mix them all well.
Now add fried onions, yogurt and garam masala.
Now add mint leaves and green chilies in it.
Mix them all and cover it with lid.
Let it cook for 40 minutes.
The dish is ready to serve.
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i love ur recipes so classifyyyyyyyyyyy................................................................... dey r ultimate my amiee s ur fan
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A recreational vehicle (RV) functions leisurely facilities inside the vehicle such as kitchen, comfort room, living space, bedroom, and workplace space. Please note: Entry into state parks, recreation locations, state forest campgrounds, boating access sites and non-motorized trail head parking lots is topic to available parking spaces. For instance, for children in higher college, the funding for recreation programs is most likely not as high a priority throughout the college year considering that they are so involved in college activities and sports, hence, the funding is coming from a different supply. Once you have this details, you will be in a position to register for recreation classes and activities offered by the City of Ottawa. Dedicated funding is important because when budget cuts are required, municipal governments often take funding from parks and recreation rather than services such as fire or police. Too several people consider that cost-free time (leisure) or parks and recreation is not essential to our livelihood.
Sport and Recreation acknowledges that we are living and functioning on Aboriginal land and recognises the strength, resilience and capacity of Aboriginal individuals on this land. In reality, it may well be argued that the 1st priorities for funding are frequently brought on by the lack of funding for the last priority (parks and recreation). Extra recreation workers will be necessary to function for fitness centers as some parks and recreation departments seek to cut expenses by contracting out the solutions of activity specialists, specially these in fitness, from these centers. To be sincere, although, most public parks and recreation departments are currently undertaking a excellent deal with limited funding. A recreation specialist would be anticipated to meet the recreational demands of a neighborhood or assigned interest group.
A bill to tax the obtain of outside recreation gear (hiking boots, tents, backpacks, binoculars, etc.) has been proposed in Congress but has failed to pass due to opposition from some gear manufacturers. The Recreation Department seeks to market a spirit of cooperation, construct self-esteem, encourage healthy competitors and develop lifelong recreational interests amongst all system participants. The portable and silent inverter generator is one of the best products ever invented as it developed new possibilities for the already enormous influence that energy generators have given modern day society, most especially in the location of recreational applications. The economic value of supplying quality parks and recreation services is clear.
Nearby agencies ought to take into account prioritizing funding recreation activities for specific groups based on several aspects. With that in mind, WalletHub compared the 100 largest U.S. cities across 35 essential metrics that speak to the relative positive aspects of public spaces and recreational activities across the country. In reality, there are multiple examples exactly where communities voted to enhance their taxes to help distinct recreation activities such as golf course development and preserve conservation lands (which also enable for low-influence recreation). Functioning with regional university faculty and students in recreation and/or landscape architecture departments can provide P&R facility managers a low price technique to gather information on park customers, engage in preliminary demands assessments, or create preliminary styles. The idea of sport recreation appeals to absolutely everyone on some level no matter what they appreciate undertaking.
Surplus revenues generated via the Enterprise (Recreation and Pine Meadows Golf Club) aids fund Capital Improvement Projects and financially supports other Town Services such as those provided by the Division of Public Functions to the aquatic facilities, tennis courts, and golf course, and payment of $one hundred,000 per year towards the Lincoln Park debt. One particular difficulty that can be troubling is not having a total inventory, descriptions, and images of all equipment and structures within a park or recreation facility.


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The waiting game is on.
I'm trying to be patient. The manuscript is finished. It came in at a bit over 52,000 words. I really struggled with the ending, but I think I settled on something that works. I hope. My beta-reader has read it, and gave me some good advice. It's now off with the editor. I'm not sure… Continue reading The waiting game is on.


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The Jonah sandals add instant style to any outfit. Featuring a sleek square toe and strappy topline, this pair is complete with a block heel and adjustable ankle strap. Perfect for pairing with printed dresses or rompers!
- suede
- 4" heel
- imported
- true to size
WE ONLY OFFER STORE CREDIT FOR RETURNS! Feel free to email us at [email protected] or DM us with any questions regarding fit, styling, or our return policy in general.


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Between 2002 and 2011, I lived in Osaka Japan. I was a software developer, but one of my hobbies was fashion. I learned much about Japanese culture, including the business culture, its national features and about Japanese people.
As you may know, Japan is a small country of 4 major islands but highly developed in technology and fashion. I knew that Japan was number one in fashion style in all of Asia. They produce good products with high quality because the customer is considered as a god. Any business providing service or manufacturing products is very concerned with customer satisfaction and quality.
The capital of Japan is Tokyo, and the second biggest city is Osaka, which also has its own fashion style. There are many fashion shops in these 2 cities and women are the most chic and fashionable. Japanese women like to use fashion accessories and styles can change every month with new designs.
While in Japan, I used to attend fashion events and shows. I felt that I myself could be a fashion designer, however I had already chosen a different career path, but I think it is never too late and I am now starting as a retailer first and I hope to make my own designs someday. I can not draw and I can not sew but what I found is drawing and sewing are not guaranteed to make a good designer. It is all about the sense, visuality, thought, belief and personal character.
Here on www.bujin-retail.com I retail imported fashion accessories from Japan. Do you know about the Kanzashi which is a hair stick? Ancient and traditionl Japanese women used to use Kanzashi for their hair while wearing the kimono. But nowadays it has become a fashion accessory in Japan, a very simple hair stick for all occassions. I used to use pencils instead of Kanzashi when I was a student. I wish that time that I had a Japanese Kanzashi for my hair. I would be a star at my school.
Anyhow I would like you to enjoy these Japanese fashion accessories for sale through my website. I think we should enjoy and have fun using hair accessories and fashion. Because we are women who can make the world bright and interesting!


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Barely 96 hours after Mahfuza Rahman mysteriously disappeared, her husband vanished too — turning up halfway around the world in his native Bangladesh, their 9-year-old daughter in tow.
Three years down the road, as the Bronx nurse's devastated family remains stuck in emotional limbo, little has changed: Spouse Mohammad Chowdhury, though remarried, remains overseas with his daughter. Mahfuza Rahman never resurfaced. And her parents remain suspicious about their estranged son-in-law's possible role in the still unsolved disappearance.
The NYPD agrees: Chowdhury, now 42, remains their sole person of interest in the cold case. They believe she was a victim of foul play that most likely occurred inside her Bronx home as their 10-year marriage imploded.
"After she went missing he called our family, my mother, and said, 'Ma, it's been 40 days,' as if to say, 'It's time to move on,'" the missing woman's brother Rezaur Rahman told the Daily News in a phone interview from Dhaka, Bangladesh.
"Why would he say that?" wondered Rahman. "It makes us think that he knows something — that he did something … We just want to know what happened. I've tried to ask him so many times, but he won't say anything."
Nursing associate Rahman, 30, left work at Bellevue Hospital the afternoon of Dec. 9, 2015, and took the subway uptown to Hunter College. The undergraduate student, pursuing her bachelor's degree, then left for home and was never seen again.
The next morning, Chowdhury visited Home Depot to purchase a hatchet and packaging tape. He called Mahfuza's boss with a bogus story to explain her absence. Four days after the disappearance, he and the couple's only child, Zuairia, boarded a plane for their native Bangladesh. Father and daughter now live there with his second wife, and he refuses to discuss his first bride's disappearance.
"We don't feel good about it," said Rezaur Rahman. "It's obvious he never planned to go back to New York. He wanted to move on and start a new life here."
According to the brother, Chowdhury keeps family members apart from Zuairia as much as possible — with the last contact coming about one year ago.
"We think her dad brainwashed her," said the brother. "She probably knows what happened. But her dad must've told her if he went back to New York, the police would arrest him."
If the missing woman's family remains perplexed and pessimistic about getting any answers, a more optimistic view comes from NYPD homicide Detective Ernest Dorvil.
He remains motivated by the thought that some 8,000 miles away, a girl whisked away from her Bronx home must wonder every day about her lost mom.
"We're going to make sure we get her justice so that one day, when she grows up and understands the whole circumstance, she can appreciate it," Dorvil said.
"She's enjoying the American way of living and now he took that away from her — and most importantly he took the mother. That's something that every day I think about — and that's the thing that drives me the most."
Chowdhury, believed to be living in Comilla, about 65 miles from Dhaka, couldn't be reached for comment.
But back in December 2015, he told his wife's Bellevue supervisors and hospital police that she flew back to Bangladesh because her parents were badly hurt in a car accident.
There was no accident nor any record that Rahman flew anywhere. But the dodge gave the husband the chance to bolt the country and keep authorities at bay.
The NYPD was not notified until March 4, 2016, when hospital police went to the Rahman home in Bedford Park and found mail piling up.
Once inside, cops found Rahman's wallet, credit cards and passport and other property. The basement was flooded, possibly wiping away forensic evidence — though police don't know if a pipe burst or if the flood was intentional.
And the concrete job outside the front entrance was relatively fresh.
Police dug it up but found no body. A search at an upstate garbage dump also proved futile. Chowdhury was long gone.
The NYPD is currently left with a circumstantial case and no probable cause to make an arrest. And even if police move to declare Rahman legally dead, the first step towards a no-body prosecution, Bangladesh has no extradition treaty with the U.S.
With the Bronx home now in foreclosure, Chowdhury has no reason and no apparent plans to return.
In an early phone chat with the NYPD, the hubby never admitted indicated that he wanted to come back to the Bronx but falsely claimed his in-laws were threatening to kill him.
And while he never admitted to harming his wife, Chowdhury provided a window into his failing marriage. There was tension over their difference in status: He was a busboy, she college-educated and from a more upscale family.
Dorvil said Rahman's embrace of an American lifestyle exacerbated their rift. The husband denounced his wife as a "whore" during a fight outside their home.
Bellevue colleague Tiani Morales remembered Rahman once arriving at work looking totally different — makeup on, her hair down and flowing.
"She said she just wanted to feel pretty," said Morales, now a nursing student herself. "I told her she should do that more often and she said, 'Oh, it's hard for me to do that.'"
Police are hoping the anniversary of Rahman's disappearance will jog someone's memory. Anyone with information is asked to call the Crime Stoppers hotline at 1-800-577-TIPS. All calls will be kept confidential.
"The smallest thing you think maybe does not even help the case could be what breaks the case," Dorvil said.


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Fields have been announced for the inaugural event in March
Some of Britain's best female distance runners will battle on the streets of London, while Dewi Griffiths will form part of a men's field also including the already-announced Mo Farah and Callum Hawkins at The Vitality Big Half on March 4.
The fields for the inaugural event have been revealed, with Lily Partridge and Charlotte Purdue among those racing in the women's event, and David Weir among those going for victory in the elite wheelchair race.
Partridge – who won the Seville Half Marathon eight days ago in a course record time of 71:09 – is the fastest athlete in the field over the half-marathon distance and will be using the race to prepare for her Virgin Money London Marathon debut in April.
Purdue, who is also preparing for the London Marathon, will also be on the start line along with Alyson Dixon and Sonia Samuels, who are both running the marathon at the Commonwealth Games on the Gold Coast in April.
The bronze medallist from last year's World Championships marathon and Britain's fastest marathon runner in 2017 have been added to the strong elite men's field that also features Kenya's 2017 London Marathon champion Daniel Wanjiru.
Tanzania's Alphonce Simbu will be joined by Wales' Griffiths, who became one of only 16 British men in history to run under 2:10 for the marathon when he clocked 2:09:49 in Frankfurt last October.
Jonny Mellor and Tsegai Tewelde are also among those working towards the London Marathon, while Alex Teuten has his eye on the IAAF World Half Marathon Championships.
In the elite men's wheelchair race, British legend Weir will renew his rivalry with Marcel Hug. The Weirwolf pipped Hug to victory in a sprint finish at last year's London Marathon. They will race again over the 13.1-mile distance at The Vitality Big Half before doing battle again over the full marathon distance on April 22.
Hug's Swiss compatriot Manuela Schär – the 2017 London Marathon champion and course record-holder – headlines the elite women's wheelchair field where she will face British Paralympian Jade Jones.
Daniel Wanjiru (59:20)
Sir Mo Farah (59:22)
Callum Hawkins (60:00)
Dewi Griffiths (61:33)
Alphonce Simbu (61:59)
Jonny Mellor (62:23)
Tsegai Tewelde (63:14)
Matthew Sharp (65:03)
Josh Griffiths (65:18)
Luke Caldwell (65:24)
Aaron Scott (65:50)
Alex Teuten (65:54)
Lily Partridge (70:31)
Alyson Dixon (70:38)
Louise Damen (70:47)
Charlotte Purdue (71:43)
Sonia Samuels (72:36)
Tracy Barlow (72:48)
Rebecca Murray (72:59)
Tish Jones (72:55)
Jenny Spink (73:01)
Louise Small (73:47)
Faye Fullerton (74:06)
David Weir
Marcel Hug
John Smith
Simon Lawson
Jade Jones
Manuela Schar
Annika Zein
Sandra Graf


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Need a reminder that the region is producing some of the most exciting cinema around the globe? Look no further than the slew of awards Latin American filmmakers earned in some of the world's most renowned festivals: Amat Escalante picked up the Silver Lion at the Venice Film Festival for La región salvaje; Vicky Hernandez and Manolo Cruz's La ciénaga entre el mar y la tierra triumphed at Sundance winning an Audience and a Special Jury award; and Argentine actors Alan Sabbagh (El rey del Once) and Oscar Martínez (El ciudadano ilustre) got singled out for their performances at Tribeca and Venice respectively.
Looking beyond fiction films, you could even say that the more interesting projects coming out of Latin America are the documentaries that are putting social and political issues at their center. From Tatiana Huezo's award-winning Tempestad (on women's disappearances in Mexico) and Salomé Lamas' Eldorado XXI (on the violence on a Peruvian gold mine) to Ryan Suffern's Finding Oscar (about the Dos Erres massacre in Guatemala) and Heidi Brandenburg and Mathew Orzel's Sundance winner When Two Worlds Collide (on Peru's indigenous groups' fight to save the Amazon rainforest), documentarians have shown us deeply empathetic stories about the ills affecting our cultures. They're as eye-opening and as masterful as any fiction film you may have caught this past year.
But perhaps the biggest story coming out of Latin America this past decade, and which 2016 ratified, is the explosion of what Vinodh Venkatesh has dubbed "New Maricón Cinema." Whether tracing a tender love story in the rural border with Uruguay (Esteros), sketching out the life of a young genderqueer teen (Mãe Só Há Uma), imagining a homoerotic dystopian Brazil (A seita), or chronicling the lives of a same-sex couple in Buenos Aires (Rara), films from south of the border showed the power of telling LGBT stories.
U.S. Latino directors weren't far behind. From the poignant same-sex passion of Adelina Anthony's Bruising for Besos and the vogueing competitions in New York City chronicled in Kiki to the powerful advocacy championed by Southwest of Salem and the touching portrait of a Puerto Rican actor-playwright's battle with AIDS in Cecilia Aldarondo's Memories of a Penitent Heart, U.S. cinema is finally making way for stories to and about gay Latinos. Heck, even Looking: The Movie anchored its plot on a gay Cuban-American getting married!
While you should be looking forward to Pablo Larraín's upcoming pair of anti-biopics, Jackie and Neruda, and you no doubt already headed to the theater and helped make Fede Álvarez's Don't Breathe one of the most successful horror flicks of the year, we didn't want you to miss out on the great number of movies coming out of Latin America or made by homegrown Latinos that hit U.S. screens this past year. Find below our list of the top 16 Latino films of 2016 that you probably didn't see, but totally should. — Manuel Betancourt
Editor's Note: The process behind selecting these films was complicated, akin to a hotly contested election in Latin America – back-room deals, bribery, and threats of violence! Eventually, we agreed on a totally unfair system of rating the movies we liked that played in U.S. theaters or prestigious film festivals throughout the year and may have won some awards. We chose to include films directed by American-born Latinos, Latin Americans, and by non-Latinos, but on Latino subjects and tried to be as inclusive as possible in terms of genre, region, and themes.


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What a fun day Saturday was with then No. 1 North Dakota State getting upset by Youngstown State and Furman losing and getting knocked from the playoff picture (unless they can beat Florida).
Now with one week left in the regular season, it's easier to look at who is in and who is out of the FCS playoff chase.
IN (in no particular order)
- Montana State
- Montana
- Maine
- Towson
- Old Dominion
- Norfolk St.
- North Dakota State
- Northern Iowa
- Lehigh
- Georgia Southern
- Sam Houston State
Those teams have either locked up their conference automatic berth (Norfolk State) or have at least eight Division I wins. Not that matters since both Montana State and Montana are in the 20-team field, but they meet up in "The Brawl of the Wild" for the Big Sky automatic berth and one of the best rivalry games in FCS.
Win and in
- Liberty or Stony Brook (meet for the Big South automatic bid)
- Illinois State (vs. Northern Iowa)
- New Hampshire
- Albany (NEC autobid)
- Wofford
- Appalachian State
- Tennessee Tech (for the OVC automatic bid)
With the exception of the automatic bids, the other teams need a win to get to eight Division I wins, which given their conferences (CAA, MFVC and Southern) will be enough for inclusion. A loss by these teams and they still are in good position for an at-large bid and likely in, although Wofford is probably the most perilous.
Bubble (season over, just waiting)
- Central Arkansas (8-3, but with only 7 D-I wins)
- Georgetown (8-3)
Both have seven and can only wait. The good news for them is that even if all the "win and in's" win there are still two berths remaining. The bad news is the question if their records can match up with teams from this next group.
Win and bubble
- Indiana State
- Youngstown State
- Eastern Kentucky
- Jacksonville State
- Duquesne (can get Northeast autobid with win and Albany loss)
A win by Indiana State and Youngstown State make them 7-4. I think a Sycamores win gets them in as the fourth team from the Valley, but there's still the possibility of having their bubble burst. I think Youngstown needs an Indiana State loss and a win to get in. Eastern Kentucky and Jacksonville State need to win and Tennesee Tech and the other to lose to get the OVC automatic bid. It's possible they can win and get an at-large, but I'm not sure that the OVC is more than a one bid league.
Cutting to the chase
I think the Redbirds are in no matter what happens on Saturday, but they can make it easy and beat Northern Iowa. The Valley is likely a four-bid league no matter what happens on Saturday. There are 14 teams for the nine remaining berths.


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Blind Items: I Guess, You Guess
She's great at giving big smiles, pretending her personality is as sweet as her voice. It depends. If she's talking to Ellen DeGeneres, well, of course she's lovely and accommodating. But what if it's a child in a wheelchair?
There was a kid who had a wish. The wish was to meet her favourite star. So they made arrangements for it to happen at an event earlier this year where the star was promoting her show. They set up the wheelchair at the end of the red carpet, everyone had been informed, and then, when it came time for the moment, as soon as they started introducing her to her young fan, she cut off the handler, said, "NO", and then walked away…even though the family had specifically flown there for the opportunity.
She has ONE advocate. One. And that's only because he made her. But since he's caring less and less about that particular project, when that's done, she won't have any supporters left. Because no one can fucking stand her. (Lainey Gossip)
Lea Michele? Leave it to Lea Michele to turn a Make-A-Wish situation into a Make-A-Nightmare situation. Who ever this is, they'll soon receive an invitation to Ina Garten's house where they'll drink from flutes full of sparkling children's tears and toast to making sick kids cry! But if this is Lea Michele, then it's really out of character for her. You'd think that Lea would put on a manufactured smile, pose with the kid for the photographers and then wheel the kid backstage where she'd open up her black hole of a mouth and eat their soul.
And there's more BIs after the cut.
This A list mostly television actor who has moved on from television now to movies and theatre was telling a story two nights ago about how he once had sex with this A list action movie star back in the day when our first actor was still in the closet. The second actor is deep in the closet. (CDAN)
Doogie Howser and Hugh JackMeOff? Or Doogie Howser and Vin Diesel? Or Doogie Howser and Chuck Norris? Or Doogie Howser and Jean Claude-Van Damme? Or Doogie Howser and The Rock? It's totally not Doogie Howser and The Rock, but I'm going with that, because I really want to picture Doogie using a grappling hook and rope to try climb The Rock's ass and ride him from behind.
This B list mostly television actor from a very hit cable show who will probably be a movie star and had his big chance once has come back to his trailer the past few days on set to find this aging former A list singer who is a part-time actress stark naked and smoking. Apparently she thinks they met in a past life and wants to get close to him. (CDAN)
Charlie Hunnam and Courtney Love? Charlie, you in danger, girl.
Which kinky TV news anchor likes to dress up like a puppy, with a leash and collar, chewing on a bone, and barking?
He recently shocked a young lady he took home after getting down on all fours and asking her to rub his belly! Can you imagine?
As silly as it sounds, puppy play is apparently a VERY big community. There are shops devoted to buying tails and harnesses and veterinarian's outfits.
People at the work suspect something is up, after they caught him walking out of a pet store with two full bags of toys. The problem is, he doesn't have a pet that is an animal. (Naughty But Nice Rob)
Matt Lauer? But I don't know why his co-workers would throw a side-eye at him walking out of a pet store with puppy toys and bones. I mean, he IS a dog.
If business-arrangement couples can sell a "real couple" image to the public, the couple becomes worth more than each celeb would be worth individually. Of course, that value goes up even more if they can take the PR relationship all the way to marriage and children.
We have told you MANY times before that this high-profile marriage is just a business arrangement. We have also told you that this business arrangement will wind down after their current project is finished. Well, it's almost over!
They are splitting up everything (properties, money, child/ren) right now, but will be keeping up appearances until the announcement. They are separating this year, with the divorce to follow in about six months. It will be very clean and very fast. In fact, the parties involved are describing the timeline as "Tom Cruise/Katie Holmes fast." (Blind Gossip)
Beyonce and Jay-Z? But this can't be true, because they look like such a happy, perfect family on Instagram and Beyonce would never manipulate our emotions with pictures and lie to us!!!!


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Moch Busairi, Abdullah (2010) EFFECT OF NITROGEN SOURCE AND INITIAL SUGAR CONCENTRATION ON LACTIC ACID FERMENTATION OF PINEAPPLE WASTE USING L.DELBRUECKII. TEKNIK, 31 (1). pp. 31-34. ISSN ISSN 0852-1697
Abstract The liquid pineapple waste contains mainly sucrose, glucose, fructose and other nutrients. It therefore can potentially be used as carbon source for lactic acid fermentation. The lactic acid is utilised in food technology as pH regulator, microbial preservative, buffering agent and in the chemical industry. Recently, lactic acid has been considered to be an important raw material for production of biodegradable lactate polymer. The experiments were carried out in batch fermentation at anaerobic condition with stirring speed: 50 rpm, temperature: 40 oC, pH: 6.0, and inoculum size: 5%. Effect of nitrogen source and initial sugar concentration were studied. The effect of nitrogen source on lactic acid production shows that the yeast extract is highest yield , followed by urea , corn steep liquor, malt sprout and ammonium sulphates with the yield of 78.52; 26.68; 19.14; 14.10 and 5.6 %, respectively. The highest yield of initial sugar concentration on lactic acid production obtained was 78.52 % (54.97 g/l) at 70 g/l, if the concentration of sugar was increased to 110 g/l , the lactic acid production or yield decrease to51.53 g/l or 54.24%. Key words: lactic acid, l. delbrueckii, nitrogen source , pineapple waste, sugar concentration.
|Item Type:
|Uncontrolled Keywords:
|lactic acid, l. delbrueckii, nitrogen source , pineapple waste, sugar concentration.
|Faculty of Engineering > Department of Chemical Engineering
Faculty of Engineering > Department of Chemical Engineering
|ID Code:
|Deposited By:
|Mr Jaelani .
|Deposited On:
|20 Aug 2010 08:32
|Last Modified:
|20 Aug 2010 08:32
Repository Staff Only: item control page


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So today is Earth Day; I will admit we did not do anything different today then other days. I really don't feel I need to - when Christophe is a little older I plan on maybe marking the day with a fun craft or something but nothing else. For me Earth Day is everyday; don't get me wrong I think celebrating the planet is good and it also helps bring awareness to living "green".
So what did we do today that was "green"
- Organic food for breakfast, lunch and supper
- "Carpooled" to Sports Ball (since Geoff had to take the car today anyways he dropped us off on his way)
- Brought my own shopping bags for my errands today
- Walked home after Sports Ball
- Kept all the lights in the house off during the day (sunshine is more then enough to light your house)
- Made "green" purchases for the things I needed to get today (food and sandals)
- Breastfed
- Brought a reusable water bottle for both me and C Monster (his had juice) and when it was smoothy time got them to place it in our bottles instead of cups.
- Ate an organic lunch at the Big Carrot (very eco-conscious store)
- Used cloth diapers and G-Diapers
- Used non-toxic cleaners and beauty products
Did you celebrate Earth Day or did anything special today?
El Natura Lista - My new sandals
I have had the same pair of Birkenstock since C Monster has been born and well I walk a lot so they are pretty much dead. I will probably get about half a summer out of them maybe a bit longer. I had been on the lookout for new sandals something that is comfortable, fashionable, funky and well eco-friendly if possible. It's hard to find leather footwear that is also eco-friendly at least in part because many people think leather itself is not "green". I don't fully disagree with them but when it comes to sandals if they are not leather I can never "break them in" and they never stop giving me blisters. (I will also admit that one of my not so green likes is leather, I do own things made from leather including and not limited to furniture, clothing and shoes).
After looking for over a month for some sandals I found a pair at a locale shoe store Balisi; they met all the criteria but I was not familiar whit the designer - El Natura Lista. Since I had already given up on finding eco-friendly sandals that i liked I bought them. However the name gave me hope that these were a eco-conscious company.
Guess what they are a eco-consious company here are some of the things they boost about on their web site.
"We use natural materials
We avoid using polluting substances and toxic products
We seek to protect the environment
We maximize the use of biodegradable and recyclable/recycled materials
We pay fair compensation to providers and employees
We promoted traditional forms of production
We support the use of appropriate new technologies
We operate with corporate transparency"
Image from El Natura Lista
Dead Animals - stinky
So what do you do when you find a dead animal? We got to discover this joy earlier this week. C Monster and Aunt Lisa where playing in the lane behind our house when she pointed out what looked like a raccoon that had been deceased for at least a 6 months or so. He was hidden by a pile of leafs. we mad sure C Monster did not notice it and kept him clear from the area. Lisa suggested I called Toronto Animal Services (416-338-7197) and she was right within an hour they were here to bag and remove the stinky poor little fellow. I have to say I was impressed with their response time; it's nice to see that the animal owner fees we pay them go to good use.
La Leche League International Turns 50
Looking Forward To
Eating my tummy is growling :-)


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The Originals Round Table: "The River in Reverse"Miranda Wicker at .
What's one word to describe the scene where Klaus took out a legion of vampires before Rebekah and Marcel called an end to the bloodbath?
Epic. Epic is the word for that scene. We're still reeling from how amazing it was.
With just one more original episode of The Originals left before the series takes a long winter's nap, the battle for New Orleans might have been brought to a close on "The River In Reverse." Join the TV Fanatic Round Table, consisting of Matt Richenthal, Leigh Raines, Miranda Wicker, and Heather Vee from Vampire-Diaries.net as we dish out our thoughts on The Originals Season 1 Episode 8.
While this one will probably be unanimous, what was your favorite scene and/or quote from The Originals Season 1 Episode 8?
Matt: The concluding exchange between Marcel and Klaus. The latter will never know true loyalty? True respect? True love? Marcel may have bowed down before his former friend, but he got a major leg up on Klaus by expertly pointing out his antagonist's flaws here.
Leigh: I'll vary it up for us: Beks storming in to Marcel's meeting, promptly snapping Tyler's neck and taking his seat. Because she runs shit, basically.
Heather: The highlight was definitely watching Klaus go to town on Marcel's posse because sometimes you just want to watch a full-on brawl, and we so rarely get to see something this balls to the wall. Klaus talks a big, big game, but he's also a rare example of someone who can most definitely put his money where your mouth is. And the use of knives were a brutal, if futile, touch, I must say. Even though I knew they couldn't kill him, the sound effects alone made me cringe. It was just an exceptionally well done fight sequence all the way around.
Miranda: Okay, so it's not unanimous. I'm going with Klaus and Father Kieran discussing Cami. I've hated every minute of Klaus compelling Cami into insanity, and hearing that he's doing it because he's trying to protect her made it just a tiny bit more tolerable. A tiny bit.
Better nursemaid: Hayley to Elijah or Damon to Rose?
Matt: Hayley to Elijah, clearly. Rose DIED, remember?!? Well done, Damon.
Leigh: Great question. As much as I'm into Hayley and Elijah and the fact that Elijah is walking sex and would hallucinate sex dreams...I think Damon was more tender with Rose and helping her. Then again she was on the bring of death so it was a little different. Both great.
Heather: I agree with Leigh - the fact Rose was dying elevated that entire situation to a different level than what transpired between Hayley and Elijah. Also, Damon gave her the dream to die in, which was a powerfully compassionate thing to do. But you know - thank you, writers, for giving Elijah retro sex dreams. Elijah's suffering ended up being our fan service, so hats off there.
Miranda: Hayley and Elijah. I love the way that she's completely unphased by the fact that this hot, thousand year old vampire is having sex dreams that she can see and she just keeps on taking care of him. Plus it gave us more of Elijah's history and that's always a bonus.
What's your reaction to that fight scene?
Matt: Very well filmed. Very well played by Joseph Morgan. Very scary, cool stuff. But also a bit of a cop out: for weeks, The Originals has been playing out like an ever-changing game of chess, with various characters plotting and scheming in various ways. But then Klaus wins via sheer force. Seems rather simplistic and obvious. Why all the machinations if he could have just physically imposed his will all along?
Leigh: "Get the coin!" That scene was insane. I was scared for Rebekah and Marcel at one point. It was also sad in a way that Klaus is so damn hated...not saying he doesn't deserve it but it was nuts.
Heather: I think I covered it above, but here's my plea for more Original fight scenes in general. Total bosses. All of them.
Miranda: That scene was AMAZING. Amazing. Klaus is a beast! It was one of those moments where you remember just how deadly and devastating a force Klaus can be because, as Matt pointed out, much of his time is dedicated to scheming. I think he didn't go straight for the jugulars when he first arrived in New Orleans because he wanted the loyalty that Marcel has which he now knows he'll never get.
If you're Josh, where are you right now?
Matt: Online. Looking up flights on Kayak to Iceland.
Leigh: Hitchhiking, maybe in the international terminal of some airport headed anywhere the hell out of New Orleans. Or maybe he's enjoying his last moments before Klaus finds him, in da club- his favorite place.
Heather: In the club. Or maybe hiding out with Davina. A super-witch could be a very good friend for Josh to have right now, though I do wonder if he'll be able to talk his way out of this. It's not out of the question that he could play dumb. Hell, Marcel might even cover for him.
Miranda: Can vampires have plastic surgery? Because I'd be changing everything about myself and then calling up Katherine Pierce to learn all the tips and tricks she has to offer before she maybe kicks it.
Has Marcel really joined Team Klaus?
Matt: Of course not. He's joined Team I Better Save My Fellow Vampires While I Can and Come Up with a New Strategy While Pretending I Am Loyal To Klaus.
Leigh: He's at least feigning it for his survival. Marcel still had loyalty and relationships Klaus doesn't. Klaus has to compel or sire people for friendship.
Heather: Absolutely not. No way. Marcel is going to rally. It may take time, but he's going to bite Klaus back in a big, big way. Let's not forget that Davina is still an essential element in all of this and I don't see her kowtowing to Klaus willingly.
Miranda: Part of me really says no way, but then part of me thinks that he might've actually submitted. Joseph Morgan and Charles Michael Davis both teased in their set visit interviews that the battle for New Orleans would come to a head sooner rather than later and then the storylines would change a bit. So maybe he's just Team Klaus for now and we'll get back to their feud once they settle this thing with the witches.
Cami's going full Memento. What happens when she figures all of this out?
Matt: Blah. I don't know… or, unfortunately, care right now. I look forward to the writers proving me wrong, but the back-and-forth compelling of Cami has made her less of a character so far and more of a Klaus play thing.
Leigh: She really impresses me that Cami. I think she's going to lose her mind a bit but figure it all out. When she does there will be hell to pay.
Heather: I think when all is said and done and she knows everything that Cami will become a big player in the Quarter. She is force to be reckoned with, so being armed with knowledge will only enhance that.
Miranda: I really, really love Cami and her resolve. I would love to see her pull a Buffy and go after the vampires.
Miranda Wicker is a Staff Writer for TV Fanatic. Follow her on Twitter.