text:
Cecil Papers: May 1576
377. Lord Dudley.
1576, May 8. Warrant under the Privy Signet for the delivery to Lord Dudley from the Morfe Forest, in the county of Salop, of 4,000 of the second sort of oaks growing there, "togeder with the bark loppes and toppes."—Greenwich, 8 May 1576.
378. John Dyer.
1576, May 12. Petition of John Dyer, yeoman of the Queen's bakehouse, John Walker, and Wm. Conne, grooms of the same, to the Queen, for a lease in reversion of 37l.—12 May 1576.
[Note by Thomas Sekford that the Queen grants the petition.—The Court at Havering, 3 August 1576.]
1576, May 16. Instructions to the Surveyors of her Majesty's Woods for the delivery of 4,000 oaks to Lord Dudley by virtue of her Majesty's warrant dated 8th May 1576.
380. Dr. W. Aubrey to Lord Burghley.
1576, May 27. Touching his lordship's daughter of Oxford, begs him to consider that it could not, nor can lie in him to lett the moving for that it grew from others; but how pleasant the motion was or how willing he was to hear it God knoweth, and his lordship may guess by the nature of the matter, and by the likelihood of any good arising therefrom to himself.
Begs his lordship to rest assured that he has been, and will be, as careful as of his own life to do what good he can, and to be sure to do no harm; and in all things generally, and particularly in this, will seek all occasions to do his duty and all good offices to his lordship and to all his family.
381. Thos. Sekford to —.
1576, May 29. With reference to the suit of the Mayor and inhabitants of Faversham, co. Kent, which had been referred to the Lord Treasurer and the Chancellor of the Exchequer, for their opinion. Has advised the suitors to exhibit the certificate of the said Lord Treasurer and Mr. Chancellor to Her Majesty to the intent that her highness may be thereby provoked to the speedier dispatch.
Endorsed :—"xijl~i xxd ob. for Feversham Schole, Com. Kent.
"Lorde Treasurer and Sir Walter Mildmaye's opinion, for her Majestie to graunt the same."


One of my friends shared this on Facebook. The link for photo credit did not work, so I'm not sure who deserves The Clever Award for this tree, but I absolutely love it! With all my gardening books, I could easily create a green tree!
I could probably do one too...with all the books I own.
Oh I am soooo doing this!
Oh yes, there are enough books in my house to make this. I like your idea of a themed book tree.
Very clever indeed! Thanks for sharing this at the Say G'day link up.
totally cool idea! I love that I can be anyone and go anywhere!
We had a book tree linked on Merry Monday a few weeks ago and I loved it. Such a clever idea.
Such a clever idea to have the 'book' tree, I love it. Thank you for sharing with the Clever Chicks Blog Hop! I hope you'll join us again next week!
My husband has enough books to make like three of these. What a cute idea!


text:
Home Data Analysis
Supervised Machine Learning Classification: An In-Depth Guide
by globalresearchsyndicate
in Data Analysis
January 15 – Latest News, Breaking News, Top News Headlines
And if we had to do it all over again, would we send medical students to the emergency departments during a pandemic? Lessons learned from the COVID-19 outbreak
Machine learning is the science (and art) of programming computers so they can learn from data.
[Machine learning is the] field of study that gives computers the ability to learn without being explicitly programmed. — Arthur Samuel, 1959
A better definition:
A computer program is said to learn from experience E with respect to some task T and some performance measure P, if its performance on T, as measured by P, improves with experience E. — Tom Mitchell, 1997
For example, your spam filter is a machine learning program that can learn to flag spam after being given examples of spam emails that are flagged by users, and examples of regular non-spam (also called "ham") emails. The examples the system uses to learn are called the training set. In this case, the task (T) is to flag spam for new emails, the experience (E) is the training data, and the performance measure (P) needs to be defined. For example, you can use the ratio of correctly classified emails as P. This particular performance measure is called accuracy and it is often used in classification tasks as it is a supervised learning approach.
Dive DeeperAn Introduction to Machine Learning for Beginners
In supervised learning, algorithms learn from labeled data. After understanding the data, the algorithm determines which label should be given to new data by associating patterns to the unlabeled new data.
Supervised learning can be divided into two categories: classification and regression.
Classification predicts the category the data belongs to.
Some examples of classification include spam detection, churn prediction, sentiment analysis, dog breed detection and so on.
Regression predicts a numerical value based on previously observed data.
Some examples of regression include house price prediction, stock price prediction, height-weight prediction and so on.
Dive DeeperA Tour of the Top 10 Algorithms for Machine Learning Newbies
Classification is a technique for determining which class the dependent belongs to based on one or more independent variables.
Classification is used for predicting discrete responses.
1. Logistic Regression
Logistic regression is kind of like linear regression, but is used when the dependent variable is not a number but something else (e.g., a "yes/no" response). It's called regression but performs classification based on the regression and it classifies the dependent variable into either of the classes.
Logistic regression is used for prediction of output which is binary, as stated above. For example, if a credit card company builds a model to decide whether or not to issue a credit card to a customer, it will model for whether the customer is going to "default" or "not default" on their card.
Firstly, linear regression is performed on the relationship between variables to get the model. The threshold for the classification line is assumed to be at 0.5.
Logistic Sigmoid Function
Logistic function is applied to the regression to get the probabilities of it belonging in either class.
It gives the log of the probability of the event occurring to the log of the probability of it not occurring. In the end, it classifies the variable based on the higher probability of either class.
2. K-Nearest Neighbors (K-NN)
K-NN algorithm is one of the simplest classification algorithms and it is used to identify the data points that are separated into several classes to predict the classification of a new sample point. K-NN is a non-parametric, lazy learning algorithm. It classifies new cases based on a similarity measure (i.e., distance functions).
K-NN works well with a small number of input variables (p), but struggles when the number of inputs is very large.
3. Support Vector Machine (SVM)
Support vector is used for both regression and classification. It is based on the concept of decision planes that define decision boundaries. A decision plane (hyperplane) is one that separates between a set of objects having different class memberships.
It performs classification by finding the hyperplane that maximizes the margin between the two classes with the help of support vectors.
The learning of the hyperplane in SVM is done by transforming the problem using some linear algebra (i.e., the example above is a linear kernel which has a linear separability between each variable).
For higher dimensional data, other kernels are used as points and cannot be classified easily. They are specified in the next section.
Kernel SVM
Kernel SVM takes in a kernel function in the SVM algorithm and transforms it into the required form that maps data on a higher dimension which is separable.
Types of kernel function are:
Type of kernel functions
Linear SVM is the one we discussed earlier.
In polynomial kernel, the degree of the polynomial should be specified. It allows for curved lines in the input space.
In the radial basis function (RBF) kernel, it is used for non-linearly separable variables. For distance, metric squared Euclidean distance is used. Using a typical value of the parameter can lead to overfitting our data. It is used by default in sklearn.
Sigmoid kernel, similar to logistic regression is used for binary classification.
Kernel trick uses the kernel function to transform data into a higher dimensional feature space and makes it possible to perform the linear separation for classification.
Radial Basis Function (RBF) Kernel
The RBF kernel SVM decision region is actually also a linear decision region. What RBF kernel SVM actually does is create non-linear combinations of features to uplift the samples onto a higher-dimensional feature space where a linear decision boundary can be used to separate classes.
So, the rule of thumb is: use linear SVMs for linear problems, and nonlinear kernels such as the RBF kernel for non-linear problems.
4. Naive Bayes
The naive Bayes classifier is based on Bayes' theorem with the independence assumptions between predictors (i.e., it assumes the presence of a feature in a class is unrelated to any other feature). Even if these features depend on each other, or upon the existence of the other features, all of these properties independently. Thus, the name naive Bayes.
Based on naive Bayes, Gaussian naive Bayes is used for classification based on the binomial (normal) distribution of data.
P(class|data) is the posterior probability of class(target) given predictor(attribute). The probability of a data point having either class, given the data point. This is the value that we are looking to calculate.
P(class) is the prior probability of class.
P(data|class) is the likelihood, which is the probability of predictor given class.
P(data) is the prior probability of predictor or marginal likelihood.
1. Calculate Prior Probability
P(class) = Number of data points in the class/Total no. of observations
P(yellow) = 10/17
P(green) = 7/17
2. Calculate Marginal Likelihood
P(data) = Number of data points similar to observation/Total no. of observations
P(?) = 4/17
The value is present in checking both the probabilities.
3. Calculate Likelihood
P(data/class) = Number of similar observations to the class/Total no. of points in the class.
P(?/yellow) = 1/7
P(?/green) = 3/10
4. Posterior Probability for Each Class
5. Classification
The higher probability, the class belongs to that category as from above 75% probability the point belongs to class green.
Multinomial, Bernoulli naive Bayes are the other models used in calculating probabilities. Thus, a naive Bayes model is easy to build, with no complicated iterative parameter estimation, which makes it particularly useful for very large datasets.
5. Decision Tree Classification
Decision tree builds classification or regression models in the form of a tree structure. It breaks down a dataset into smaller and smaller subsets while at the same time an associated decision tree is incrementally developed. The final result is a tree with decision nodes and leaf nodes. It follows Iterative Dichotomiser 3(ID3) algorithm structure for determining the split.
Entropy and information gain are used to construct a decision tree.
Entropy is the degree or amount of uncertainty in the randomness of elements. In other words, it is a measure of impurity.
Intuitively, it tells us about the predictability of a certain event. Entropy calculates the homogeneity of a sample. If the sample is completely homogeneous the entropy is zero, and if the sample is equally divided it has an entropy of one.
Information Gain
Information gain measures the relative change in entropy with respect to the independent attribute. It tries to estimate the information contained by each attribute. Constructing a decision tree is all about finding the attribute that returns the highest information gain (i.e., the most homogeneous branches).
Where Gain(T, X) is the information gain by applying feature X. Entropy(T) is the entropy of the entire set, while the second term calculates the entropy after applying the feature X.
Information gain ranks attributes for filtering at a given node in the tree. The ranking is based on the highest information gain entropy in each split.
The disadvantage of a decision tree model is overfitting, as it tries to fit the model by going deeper in the training set and thereby reducing test accuracy.
Overfitting in decision trees can be minimized by pruning nodes.
Ensemble Methods for Classification
An ensemble model is a team of models. Technically, ensemble models comprise several supervised learning models that are individually trained and the results merged in various ways to achieve the final prediction. This result has higher predictive power than the results of any of its constituting learning algorithms independently.
1. Random Forest Classification
Random forest classifier is an ensemble algorithm based on bagging i.e bootstrap aggregation. Ensemble methods combines more than one algorithm of the same or different kind for classifying objects (i.e., an ensemble of SVM, naive Bayes or decision trees, for example.)
The general idea is that a combination of learning models increases the overall result selected.
Deep decision trees may suffer from overfitting, but random forests prevent overfitting by creating trees on random subsets. The main reason is that it takes the average of all the predictions, which cancels out the biases.
Random forest adds additional randomness to the model while growing the trees. Instead of searching for the most important feature while splitting a node, it searches for the best feature among a random subset of features. This results in a wide diversity that generally results in a better model.
2. Gradient Boosting Classification
Gradient boosting classifier is a boosting ensemble method. Boosting is a way to combine (ensemble) weak learners, primarily to reduce prediction bias. Instead of creating a pool of predictors, as in bagging, boosting produces a cascade of them, where each output is the input for the following learner. Typically, in a bagging algorithm trees are grown in parallel to get the average prediction across all trees, where each tree is built on a sample of original data. Gradient boosting, on the other hand, takes a sequential approach to obtaining predictions instead of parallelizing the tree building process. In gradient boosting, each decision tree predicts the error of the previous decision tree — thereby boosting (improving) the error (gradient).
Working of Gradient Boosting
Initialize predictions with a simple decision tree.
Calculate residual (actual-prediction) value.
Build another shallow decision tree that predicts residual based on all the independent values.
Update the original prediction with the new prediction multiplied by learning rate.
Repeat steps two through four for a certain number of iterations (the number of iterations will be the number of trees).
Checkout this post: Gradient Boosting From Scratch
Classification Model Performances
1. Confusion Matrix
A confusion matrix is a table that is often used to describe the performance of a classification model on a set of test data for which the true values are known. It is a table with four different combinations of predicted and actual values in the case for a binary classifier.
The confusion matrix for a multi-class classification problem can help you determine mistake patterns.
For a binary classifier:
A true positive is an outcome where the model correctly predicts the positive class. Similarly, a true negative is an outcome where the model correctly predicts the negative class.
False Positive & False Negative
The terms false positive and false negative are used in determining how well the model is predicting with respect to classification. A false positive is an outcome where the model incorrectly predicts the positive class. And a false negative is an outcome where the model incorrectly predicts the negative class. The more values in main diagonal, the better the model, whereas the other diagonal gives the worst result for classification.
An example in which the model mistakenly predicted the positive class. For example, the model inferred that a particular email message was spam (the positive class), but that email message was actually not spam. It's like a warning sign that the mistake should be rectified as it's not much of a serious concern compared to false negative.
False positive (type I error) — when you reject a true null hypothesis
An example in which the model mistakenly predicted the negative class. For example, the model inferred that a particular email message was not spam (the negative class), but that email message actually was spam. It's like a danger sign that the mistake should be rectified early as it's more serious than a false positive.
False negative (type II error) — when you accept a false null hypothesis.
This picture perfectly easily illustrates the above metrics. The man's test results are a false positive since a man cannot be pregnant. The woman's test results are a false negative because she's clearly pregnant.
From the confusion matrix, we can infer accuracy, precision, recall and F-1 score.
Accuracy is the fraction of predictions our model got right.
Accuracy can also be written as
Accuracy alone doesn't tell the full story when working with a class-imbalanced data set, where there is a significant disparity between the number of positive and negative labels. Precision and recall are better metrics for evaluating class-imbalanced problems.
Out of all the classes, precision is how much we predicted correctly.
Precision should be as high as possible.
Out of all the positive classes, recall is how much we predicted correctly. It is also called sensitivity or true positive rate (TPR).
Recall should be as high as possible.
F-1 Score
It is often convenient to combine precision and recall into a single metric called the F-1 score, particularly if you need a simple way to compare two classifiers. The F-1 score is the harmonic mean of precision and recall.
The regular mean treats all values equally, while the harmonic mean gives much more weight to low values thereby punishing the extreme values more. As a result, the classifier will only get a high F-1 score if both recall and precision are high.
3. Receiver Operator Curve (ROC) & Area Under the Curve (AUC)
ROC curve is an important classification evaluation metric. It tells us how well the model has accurately predicted. The ROC curve shows the sensitivity of the classifier by plotting the rate of true positives to the rate of false positives. If the classifier is outstanding, the true positive rate will increase, and the area under the curve will be close to one. If the classifier is similar to random guessing, the true positive rate will increase linearly with the false positive rate. The better the AUC measure, the better the model.
4. Cumulative Accuracy Profile Curve
The CAP of a model represents the cumulative number of positive outcomes along the y-axis versus the corresponding cumulative number of a classifying parameters along the x-axis. The CAP is distinct from the receiver operating characteristic (ROC), which plots the true-positive rate against the false-positive rate. CAP curve is rarely used as compared to ROC curve.
Consider a model that predicts whether a customer will purchase a product. If a customer is selected at random, there is a 50% chance they will buy the product. The cumulative number elements for which the customer buys would rise linearly toward a maximum value corresponding to the total number of customers. This distribution is called the "random" CAP. Its the blue line in the above diagram. A perfect prediction, on the other hand, determines exactly which customer will buy the product, such that the maximum customer buying the property will be reached with a minimum number of customer selection among the elements. This produces a steep line on the CAP curve that stays flat once the maximum is reached, which is the "perfect" CAP. It's also called the "ideal" line and is the grey line in the figure above.
In the end, a model should predict where it maximizes the correct predictions and gets closer to a perfect model line.
References: Classifier Evaluation With CAP Curve in Python
Classification Implementation: Github Repo.
Read more content from Badreesh Shetty:
An In-Depth Guide to How Recommender Systems Work
Curse of Dimensionality
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redpajama_set_name: RedPajamaCommonCrawl


It's natural to have questions about dermal fillers and cosmetic injections. At the San Diego Cosmetic Laser Clinic, we want you to feel comfortable and excited about your treatment. To help put your mind at ease, here are some of the most common questions asked during a free consultation.
How Long is a Typical Injection or Filler Appointment?
Dermal filler treatments can be performed very quickly while remaining safe. Treatment in a single area might take as little as five minutes. When several injections are used in one area, it might take as much as 30 minutes. If this is your first time getting an injection or filler, budget about an hour for the paperwork you might need to fill out and the preparation necessary.
How Long Does it Take to Recover from Injection Treatment?
After your injection treatment, you'll be ready to return to your normal routine right away. However, you might experience some mild soreness, swelling, tenderness or redness. These symptoms can clear up very quickly, but might last as long as seven days. If you've received lip injections, it may be about 14 days before you have completely recovered.
I've heard that Injections and Fillers are Expensive. What Do They Really Cost?
Injections can be very inexpensive! It depends on how many "units" of filler you need to achieve the desired look. In some cases, patients can obtain excellent results with just one, two or three units. Depending on the dermal filler used, a unit may be about $100 or somewhat more. That's not taking into account any special deals, either.
Can Injections and Dermal Fillers be used for Acne Scars?
Can dermal fillers help acne scars? The answer is yes! Injections are a great way to reduce, and in some cases eliminate, acne scarring. They are generally most effective with rolling scars and boxcar scars. Plus, they can help restore the volume and fullness to the skin that can be reduced by acne scars and certain types of acne treatment. The best treatment for you depends on a number of factors.
Can Cosmetic Injections be used to Get Rid of Eye Bags?
In most cases, puffiness under the eyes is caused by eyelid fat that bulges against the eyelid skin, often as a result of herniation. Although non-surgical methods cannot completely eliminate these "bags," cosmetic injections can be used to significantly reduce the appearance of bags. Fillers add volume, allowing indentations to be smoothed out without using cosmetic surgery.
Dr. Parvin Mani ensures all your questions are answered before beginning treatment during your personalized consultation. To go over your beauty goals and find out if cosmetic injections are a good fit for you, call our San Diego office at 855-661-4229 or contact us online.


Showing results by narrator "Sandy Weinberg"
You've heard about intermittent fasting and how people are finally reaching their weight loss goals. But what about you? Is intermittent fasting only for male bodybuilders and gym bros? Absolutely not! This isn't a book about scientific studies on fasting, it's a no-bulls--t guide to get you started using intermittent fasting now. This is the book that, when you finish listening, you'll know exactly how to begin shedding weight with the help of intermittent fasting. It is a powerful tool for both men and women.


Lake Alfred Police Department is located at 190 N Seminole Ave., Lake Alfred, 33850 FL. The Chief of Police of the department is Art Bodenheimer. The Lake Alfred Police Department phone number is (863) 291-5200.


text:
Gotabaya Rajapaksa to assume duties as President
Newly elected President Gotabaya Rajapaksa will officially assume duties today at the Presidential Secretariat.
Gotabaya Rajapaksa, who was elected as the Seventh Executive President of Sri Lanka, was sworn-in as the Head of State yesterday.
The swearing in ceremony was held in the premises of the Ruwanweli Maha Seya in Anuradhapura. Gotabaya Rajapaksa took oaths before Chief Justice Jayantha Jayasuriya as the country's new President.
Gotabaya Rajapaksa, who contested the 2019 Presidential Election, under the Sri Lanka Podujana Peramuna ticket, was elected the President after obtaining 52.25% votes at Saturday's election.
He won 16 districts and secured 6,924,255 votes. Sajith Premadasa, who contested the 2019 Presidential Election from the New Democratic Front ticket, only received 41.99% of the votes.
Meanwhile, PB Jayasundara is expected to assume duties as the Secretary to the President today.


text:
Project:1867 – 150 Years of History – Part 2 (1905-2020)
One of the first History courses I took in High School was Canada in the 20th Century. Most Canadian history texts that are used in schools start at this point. And there's no surprise. As a nation, Canada came into its own in the 20th Century. Many point the crucible of World War One as the focal point. Others state the post World War Two era leading up to the 100th Anniversary of Confederation. But everything that happened in the 20th Century built on what happened before and the sins of the past were going to come back to haunt.
The USS Texas is the world's only surviving Dreadnaught Era warship. While technically a Super Dreadnought the Texas served in both World War One and World War Two.
Pacemaker Crown Graphic – Schneider-Kruznack Symmar-S 1:5.6/210 – Kodak Tri-X Pan (320TXP) – PMK Pyro (1+2+100) 10:30 @ 24C
As Canada emerged from the 19th Century, it transformed from a fledgeling nation to a shining beacon of Empire. The Dominion model, which was pioneered by Canada, had been applied to other former Provinces. Australia joined the club in 1901, and both New Zealand and Newfoundland were made Dominions in 1907. But Canada was far from perfect. The government had already been caught in a bribery scandal, Canadian Militia had violently put down the rebellion and fought in colonial wars of Empire. And government policy forced Indigenous children from their families to remove their ancient culture and language to assimilate them into western culture better. And a head tax reduced the number of Chinese immigrants in Canada, even though they provided much of the dangerous labour that built the Canadian Pacific Railroad. But times were quickly changing, and Europe again thundered towards war. In 1906, the final elements of the British army had pulled out of Halifax, and even the Royal Navy were reducing the number of ships on their North American station. The launch of the HMS Dreadnought began a new Naval Arms Race between England and Germany. The result saw the creation of the Canadian Naval Service in 1909 and two former Royal Navy protected cruisers sold and commissioned for Canadian Service, the HMCS Rainbow and HMCS Niobe. And the two remaining naval stations at Halifax and Esqualimet were turned over to the Canadian Naval Service. In 1911 King George V bestowed a Royal designation, transforming the Canadian Naval Service into the Royal Canadian Navy. And while Canadian Sailors were proud to serve. They found themselves facing many of the traditions good and bad of the Royal Navy and serving under the command of some of their Officers on detached service.
The wheel of the HMCS Rainbow on display at the Canadian War Museum in Ottawa, Ontario.
Sony a6000 – Sony E PZ 16-50mm 1:3.5-5.6 OSS
The 28th of June 1914 on a crowded street in Sarajevo, the heir to the Austro-Hungarian Empire, Arch Duke Franz Ferdinand met with an assassin's bullet and through a complex set of alliances and sabre-rattling the world tumbled into war. Germany attempted a quick end to the growing conflict and invaded France through Belgium. England, who initially wanted to stay out of the conflict. Would have to respond to the German invasion of Belgium according to the terms of the defence treaty. On the 5th of August 1914, England would declare war with Germany bringing all her Dominions (which now included South Africa and the Irish Free State) into the conflict. Rather than activate the Canadian Militia and deploy the Permanent Force overseas the Government established a secondary army, the Canadian Expeditionary Force (CEF) to organise, train, and use Canadian Volunteers overseas. As with the Boer War, support for the war split Canada along racial lines with English speaking Canadians supporting the war effort. At the same time, the French-Canadians were lukewarm, even when the CEF setup the 22nd Battalion as a French-speaking unit. Even some Americans would cross the border to join the war effort under the CEF. And while the war seemed far away, the effect of the war was felt on the homefront. Many Canadians descended from those nations whom Canada was now at war with faced racism and even imprisonment in concentration camps. One such camp existed at New Fort York (Now Stanley Barracks) in Toronto, Ontario. Even the city of Berlin, Ontario changed its name to Kitchener. Canadian troops would first see combat on the western front in 1915 and face a new form of industrial warfare unlike any they met in the past. Canadians troops faced down machine guns, poison gas, and artillery fire the likes which had never been seen before. On the home front, the Canadian industry produced guns, ammunition, tanks, trucks, planes, and anything for the war effort. Women would take on roles generally done by men, working in farm fields and factories. Women in Manitoba, Saskatchewan, and Alberta would gain Provincial voting rights in 1916.
A plaque outside the remaining building of the Stanley Barracks outlines the dark history the fort saw as a concentration camp for 'enemy aliens' during World War One.
Nikon F6 – AF-S Nikkor 85mm 1:1.4G – Kodak Tri-X 400 @ ASA-400 – Kodak D-76 (1+1) 9:45 @ 20C
On a cold February night alarm bells rang out across the city of Ottawa, the Centre Block on Parliament Hill was burning. Despite the efforts of many of the city's fire brigade, the building could not be saved. The only section of the building saved was the Library thanks to the quick thinking of the on-duty librarian who saved many Parliamentary records, books, and art. By closing the fire door and rode out the fire. While newspapers, such as The Globe, were quick to name the cause of the fire as an act of German sabotage, the purpose would be found out to be an unattended cigar in one of the many reading rooms. By September, despite the continuing war, the cornerstone had been relaid. As the war dragged on into 1917, the need for troops continues to spiral. But the horrors of modern war were reaching the homefront, and the number of volunteers dropped. The Government of Prime Minister Robert Bordon would have little choice and passed the Military Service Act. While the Military Service Act would prove unpopular, the Provincial governments in Ontario and British Columbia granted full voting rights to women. And at the Federal level women who were on overseas service or women who had a male relative on foreign service were granted the right to vote in Federal Elections.
The remains of the Centre Block in the aftermath of the great fire that destroyed most of the building in 1916.
H.J. Woodside, Library and Archives Canada Licensed under CC BY 2.0
On the 6th of December, the war would come home to Canada. A Norwegian cargo ship SS Imo collided with the French munitions ship SS Mont Blanc in Halifax Harbour. The collision caused a shower of sparks to ignite dangerous barrels on deck as the explosion ripped through both Halifax, Dartmouth, and surrounding settlements. The resulting blast and fires destroyed much of Halifax, damaged Dartmouth and wiped out most of Africaville and a nearby Mikmak Settlement. Some 2,000 people lost their lives. And while Halifax and Dartmouth received most of the support for reconstruction little went to the poorer (and mostly black) residents of Africaville and the Mikmak. On the 1st of January 1918, the Military Service Act came into force. Under conscription, some 400,000 Canadian men became eligible for military service. But the Act allowed for many different exemptions and some ninety per cent of those activated for service applied for and received an exemption. Getting an exemption required you to carry official papers and display them when asked by a Federal Police officer. One such person in Montreal refused when asked by an officer, who prompted arrested the draft dodger. Protests quickly rose throughout Montreal and spread throughout the province. Local Police and the Dominion Police could do little as the protests turned violent. Prime Minister Borden, under the War Measures Act, declared martial law in Quebec and deployed members of the Permanent Force to restore order. On the 1st of April, Canadian Troops clashed with protesters and opened fire into a crowd. Official reports stated that only five were killed along with another one hundred and fifty injured. And while the order was restored, anti-conscription protests continued but far more peaceful. By the 24th of May full Federal Voting rights were granted to women. And while conscription had been needed, many who were drafted never got overseas. The war ended with a ceasefire on the 11th of November 1918.
Fragments of the SS Mont Blanc on display at the Museum at the Royal Canadian Naval base in Halifax.
The war had changed the world, new technology, new ideas, and growing equality. At least between men and women. While many Canadian troops remained in Europe as part of the occupation force or went on to fight in the growing Russian Civil War, many returned home forever changed. But Canada quickly returned to a peaceful life. Construction on the fourth Welland Canal resumed in 1919. The new canal marked a major shift in the route of the canal for a far more straightforward route. Port Weller, which had been established in 1913, became the new terminus on the Lake Ontario end of the Canal. A third branch to the Canadian Militia would see an introduction that same year. The Canadian Air Force would grow out of a corps of pilots that flew for the Royal Air Force during the War. While the force did not last long, it started the idea of a military air force in Canada. On the 11th of February, the Federal Government decided to merge the two Federal Police Forces into a single unit. The Royal North-West Mounted Police and the Dominion Police would become the Royal Canadian Mounted Police. Angus Mcphail would in 1921 become the first woman to be elected to the Federal Parliament. The Canadian Government had long supported the Canadian Railroad operators, even creating a management firm, Canadian National Railway, to keep smaller operators from going bankrupt and disrupting a vital transportation mode. But when Grand Trunk failed to repay a great deal of money, the government had little choice but to seize the operator. The British investors who still owned the company were not pleased and sued the government for appropriate compensation. During the trial, it quickly came to light that the shares were worthless. But the acquisition of the entire Grand Trunk Network allowed Canadian national to become a full and proper railroad operator. A full military airforce in Canada would form on the 1st of April 1924 with the Royal designation of the Royal Canadian Airforce. By the mid-1920s trouble between Prime Minister William Lyon MacKenzie King (The grandson of William Lyon MacKenzie) and Governor-General Sir Julian Byng was growing. A corruption scandal threatened to topple King's government, King requested the Byng dissolve Parliament and call for general elections. Byng being concerned that there had just been an election refused, and instead asked that the Conservative opposition form Government. But with a Liberal majority in the house, they failed, and the government fell anyways. When King's Liberals were returned to power, King began to lobby for greater legislative freedom. And in the Imperial Conference in London, he openly asked for change. The British Parliament responded and issued the Balfour Declaration in 1926. The Declaration made it clear that the Dominions were no longer subordinate to England, but were free and equal partners. Governors-General were no longer representatives of the British Parliament and were merely representatives of the British Crown. Thus reducing their power to interfere in local politics and pressure Prime Ministers into action. It would be eleven years after the fire that destroyed the Centre Block that the new building would open in a grand ceremony, the centrepiece being the Peace Tower. A memorial to all those Canadians to perished in the War.
CN Engine 5588 is a Pacific Type 4-6-2 Engine built in 1911. It saw operation until 1961 by Canadian National. It now stands on Windsor's riverfront since 1965 after restoration.
Mamiya m645 – Mamiya-Sekor C 45mm 1:2.8 N – Ilford FP4+ @ ASA-100 – Kodak D-23 (Stock) 6:00 @ 20C
War seemed on the horizon again as Imperial Japanese forces moved in and invaded parts of mainland China on the 18th of September 1931. In the years before the War, the act of remembrance on Decoration Day had fallen out of favour. And while many resumed the practice following the War. Canadians also began to use the 11th of November to remember the end of the War. Armistice Day became a formal day of remembrance in 1920, but in 1931 by Act of Parliament became the official day of Remembrance of Canada's war dead. The end of the British Empire and the formalisation of the Balfour Declaration of 1926 came in December of 1931. The Statue of Westminster cut most Legislative Ties with the British Parliament, instead of Dominions of the Empire, each would be members of a Commonwealth of Nations. In August of 1932, the Fourth Welland Canal opens to ship traffic, the remains of the Second and Third Canals are shut down and closed to all navigation. On the 2nd of November, Sir John Buchan would be nominated for the posting of Governor-General by Prime Minister King; King George IV would approve and appoint the Scottish author and historian as Canada's 15th Governor-General. After several attempts to stop aggressive expansion by Nazi Germany under Adolf Hitler, the invasion of Poland in September 1939 forced England to declare war once more. While it would have been strange for Canada not to, Prime Minister King would declare war, a week after England. Parliament decided to use the same model as in the previous war and created a Canadian Expeditionary Force again. Still, a year into the conflict, the Active Militia, Permanent Force, and CEF were combined into a single command, the Canadian Army. Canada would quickly shift into war production; factories again built weapons and vehicles. Ships, Tanks, and Planes would supply the ongoing war effort. The distance from the main theatres allowed Canada to be a haven for the Dutch Royal Family, a place to train new pilots for the airforce. And also hosted training schools for spies and prisoner of war camps for high ranking Nazi prisoners. One such camp, Camp 30, in Bowmanville, Ontario was the only site of a battle in Canada during the war. But war prisoners were not the only ones interned during the war, upon Japan's entry many Japanese-Canadians were rounded up and send to concentration camps away from the Pacific coast, fearing they represented a fifth-column. By the end of the War, Canadians had fought in every major theatre of the war. Hong Kong to the Aleutian Islands, North Africa to Italy, Normandy to Berlin. When the War ended in May 1945 (VE Day) and August (VJ Day), Canada had one of the worlds largest army, airforce, and navy. Canadian troops participated in the partition and occupation of Germany and were one of the founding members of the United Nations.
The HMCS Haida (G63) is the only surviving Iroquois Class Destroyer. It served in both World War Two and the Korean War and is today a museum ship in Hamilton, Ontario.
Modified Anniversary Speed Graphic – Schneider-Kreuznach Angulon 1:6,8/90 – Kodak Tri-X Pan (320TXP) – Kodak Tmax Developer (1+4) 8:00 @ 20C
As the century approached the middle, Canada began to forge a new identity separate from being British subjects. Prime Minister King championed the Canadian Citizenship Act in 1949. While the idea of being a Canadian Citizen and Resident had been around since first decades of the 20th Century, the new act would see the idea of being a Canadian Citizen as being unique citizenship, rather than a subordinate one. King would be the first to take the new Oath of Citizenship. That same year, Newfoundland, which had given up Dominion Status before the war would be joined to Canada as the last province that same year. Canadian Soldiers, Sailors, and Airmen would again cross the ocean for War when the Korean War opened in May 1950. Canadians would again fight along with allies such as England and the United States but under the banner of the United Nations. Vincent Massey would become the first Canadian born Governor-General in 1952. Faced with further tensions between Egypt, Isreal, and England in the escalating Suez Crisis, Canadian ambassador to the United Nations, Lester Pearson suggested the creation of a new type of army. Rather than an army that would fight in defence of one party or another, they would be there to keep the peace, through force if needed. The first UN Emergency Force or Peacekeeping Force would be made mostly of Canadian Soldiers and would aid in bringing a peaceful conclusion to the crisis. Pearson would win a Nobel Peace Prize for his actions. But the crisis also left a new idea with Pearson, the design of a unique Canadian Flag. Canada's flag was still a Red Ensign, which featured the flag of England in the top left corner. And when Canadians were faced with standing between British soldiers and Egyptian soldiers, it was clear they were somehow connected. Pearson would ride his fame to the Prime Minister's office and brought the flag idea with him. His initial plan faltered in 1963, but a bi-partisan committee renewed the plan a year later. Some 3,500 entries would be submitted to the committee. Most would feature a maple leaf, fleur-de-lis, or a British Flag. But the winning entry would be among the last submitted, and just by chance. The winning design, by George Stanley, featured a single red maple leaf on a field of white, flanked by two red bars. And on the 15th of February 1965, the new flag flew proudly from the Peace Tower in Ottawa. The rise in Canadian Nationalism got an even bigger boost when the 1967 World's Fair went to Montreal, Quebec and proved to be the icing on the cake for the growing 100th Anniversary celebrations of Canadian Confederation. Canada grew into its nation, one connected to but separate from England. By the end of the decade, all three branches of the Canadian Military were unified into a single command, the Canadian Armed Forces, most of the uniqueness of each branch stripped away for a single rank, uniform, and command structure.
Montreal's Biosphere is one of the few surviving buildings from Expo '67. Another surviving element is the fantastic subway system still running in the city today.
Nikon D300 – AF-S Nikkor 14-24mm 1:2.8G
An increase in French-Canadian Nationalism mirrored the rise in Canadian nationalism. While some within the growing separatist movement within Quebec desired to gain independence to political means, others went for a more direct approach. Starting in 1963 the most violent of these groups, the Front de Libération du Québec, began a bombing campaign across the province and culminating in the bombing of the Montreal Stock Exchange in 1969. Twenty-Seven people were injured along with significant property damage to the exchange. When that failed to produce results, the FLQ kidnapped two men, a British special envoy, James Cross and Pierre La Porte, the deputy premier of Quebec. The FLQ promised their release if their demand of releasing members of the FLQ in prison. Fearing further escalation and targeting of Federal property, Prime Minister Pierre Trudeau enacted the martial law in Quebec under the War Measures Act. Canadians soldiers flooded the province, taking up positions to guard government buildings. Police and Soldier rounded up known members of the FLQ and associates. Despite these efforts, the FLQ murdered La Porte. And while Cross would be released, the deployment of soldiers to the province would leave a lingering bad taste in the mouth of many in the Province. And it only reinforced the idea of an independent Quebec. The language Bill of 1973 required the French language to be the language of prominence on all signage, both public and private throughout the province. The final remaining section of the Third Welland Canal would close that same year with the completion of the Welland Bypass. Both Canadian National and Canadian Pacific would give up passenger rail service, turning over locomotives and cars to a newly created Crown Corporation, VIA Rail in 1977. When the separatist minded Parti-Quebecois took control of Quebec's National Assembly, they called for a public referendum on the idea of an independent Quebec. When the votes were tallied after the May 1980 vote, a slim majority voted to remain a part of Canada.
An abaondoned rail station in Ingersoll, Ontario that dates to the 1880s stands next to a small modern VIA rail station.
The passage of 1982's Canada Act cut the final ties to the British Parliament. Spearheaded by Prime Minister Trudeau, the act provided Canada with full control over the Constitution. Among the changes introduced by the Canadian Parliament following the patriation, was the inclusion of the Charter of Rights and Freedoms. The same year, another bill changed the name of Dominion Day to Canada Day. While most were pleased with the changes to the Constitution and in 1987, Prime Minister Brian Mulroney arranged for a Constitutional Convention to bring the Premieres alongside the changes. Known as the Meech Lake Accords, they proved to be initially popular. But soon many began to complain about the process, mainly about not enough diverse representation within the conference. Acceptance of the accords would prove to be political suicide, and several premiers lost their governments as a result, including Prime Minister Mulroney. The Accords would ultimately fail and put strict controls over how future changes would have to be done. The 1992 Charlottetown Accord aimed to bring everything back on course and maintain national unity. Charlottetown offered up a far more diverse set of delegates and provided for what the Federal Government thought would be good additional changes. Proposed changes included self-government for the Indigenous peoples of Canada, a definition of Canadian Culture, recognition of Quebec as a unique culture, changes to the division of powers between the Federal and Provincial Governments, and reforms to both the Senate and Supreme Court. The changes went over like a lead balloon. Many Premieres had no desire to accept the changes. When presented to the Canadian public, they also voted to reject the accords in the public referendum.
One of the ballot boxes used in the 1980 Referendum on display at the Museum of Canadian History in Gatineau, Quebec.
But rather than national unity improving, things only got worse in the 1990s. Word of the horrors being committed by the Residential School System had started coming to light, and in 1993 the Anglican and the Presbyterian Churches in Canada apologised for their roles in the atrocities committed by them while running the schools. A second referendum took place in 1995 on Quebec separatism and came back with an even narrower majority wishing to remain in Canada. It wouldn't be until 1996 that the final Residential School closed, the final one located in Punnichy, Saskatchewan. A year later the United Church of Canada issued an apology for their role in running the schools. The end of the century marked the final division of the Northwest Territory with the creation of the Territory of Nunavut in 1999. The attacks on the United States on the 11th of September 2001 brought out both the best and the worst. The city of Gander, Newfoundland, welcomed many travellers when their planes were rerouted after Terrorists used passenger planes to attack the iconic twin towers of the World Trade Centre in New York City and the Pentagon in Washington DC. A third plane was forced down by her passengers, preventing a third attack. Canadians troops would join American and British forces in launching an invasion of Afghanistan. The question around the Residential Schools wasn't addressed until 2008 when the Federal Government authorised a commission on Truth & Reconciliation, and Prime Minister Stephen Harper apologised for the Federal Government for the horrors that were committed. In 2011 the historical names and uniforms were restored to the three branches of the Canadian Forces, although they remained under a single command.
The flags of all Canadian Provinces and Territories on display in Ottawa's Confederation Square. Sadly the wind did not work in my favour that day!
Mamiya m645 – Mamiya-Sekor C 45mm 1:2.8 N – Ilford HP5+ @ ASA-200 – Pyrocat-HD (1+1+100) 9:00 @ 20C
In 2017 Canada opened up celebrations for the 150th Anniversary of Confederation. The festivities provided the catalyst needed to start this project to explore the events that lead up to the 1867 Confederation. Along with ideas of Canadian independence and the dark area of history between the end of the War of 1812 and Confederation. What's strange about the events that took place from 1990 and onwards are ones that I remember. One of my earliest memories beyond ones told to me by my parents if the Gulf War in 1991, where it was the first time I remember Canadian troops being deployed. In middle school, we learned and studied the Quebec Separatist movement and waited in front of the TV watching the CBC coverage of the 1995 referendum. And celebrated the creation of the Nunavut Territory. Through High School, I learned about Canada in the 20th Century (Canada in the XX Century, according to my old timetable). I helped get a TV connected in time to see the second plane hit in 2001. And while we have come far, I fear now we are starting to backslide, forgetting our past, and letting old fears and divisions get the better of us. But that is a topic for next week's final entry.
Tagged: Acts of Confederation, believeinfilm, Canada, Canadian Army, Canadian Expeditionary Force, Canadian History, Canadian National Railway, Confederation, Conscription, crown graphic, dreadnought, filmisalive, filmisnotdead, Gatineau, Grand Trunk, H.J.Woodside, Halifax, hamilton, History, Ilford FP4+, Ilford HP5+, Ingersoll, Kodak Tri-X 320, La Porte, Library and Archives of Canada, Mamiya m645, military history, montreal, Nikon D300, Nikon F6, Nova Scotia, ontario, ottawa, parliament hill, Political History, Project:1867, quebec, Robert Bordon, Royal Canadian Airforce, Royal Canadian Navy, Sony a6000, speed graphic, texas, The Great War, The Welland Canal, Toronto, united states, uss texas, Votes for Women, Voting Rights, William Lyon MacKenzie King, World War One
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Light Up German Village to change holiday tradition this weekend: How to go
Many homes in German Village are decorated for Saturday's Light Up German Village, which will operate from 6-9 p.m. NICK GRAHAM / STAFF
By Mike Rutledge
For the first time in 29 years, there won't be a German Village Christmas Walk this year because of the coronavirus pandemic.
But that won't stop the historic Hamilton neighborhood from doing its best to brighten the holiday season.
From 6-9 p.m. Saturday, the neighborhood will host Light Up German Village.
"With the Christmas walk, we walk into people's homes, and things like that, and we didn't want people to feel uncomfortable ... we didn't want to put all that money and effort and everything else into it and then have to cancel it at the last minute," said said Sheryl Silber, co-chair of the event.
"We also didn't want to put people in the position of trying to make a decision of whether they wanted people in their homes or not, or even in their businesses, because some of our businesses. We'll do bigger and better next year, but what could we do in the meantime?. What could we do to have something for people? So that's where we came up with Light Up German Village."
Residents and businesses will participate, "and light up the village with lights, decorations, and all of that," she said. "It's anything from traditional to get creative. A lot of people have kids at home."
Many people have children at home, so the event offered an opportunity for families to spend time decorating together.
In the pandemic, people are "trying to create some new traditions," including decorating their homes for the holidays.
A recent study found Americans during the pandemic plan to spend more money than usual this year on holiday decorations, with Ohio among the top five states for people planning to spend the most.
The German Village event also will come with prizes for a scavenger hunt that people can complete without leaving their vehicles. There are only five questions, Silber said. People who participate can win Visa gift cards worth $75, $50 or $25.
Mike Rutledge
Have covered government and politics for 35 years in Ohio and Kentucky


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Sofia Coppola Wins Golden Lion in Venice
September 11, 2010 3:30 PM MST
When Sofia Coppola now turns to introspection about young men after a trilogy of films about young women (Virgin Suicides, Lost in Translation and Marie Antoinette) her efforts have paid off with amazing success. Tonight she received the 67th Venice International Film Festival's highest award: the Leon d'Oro - Golden Lion for her film Somewhere.
The film stars Stephen Dorff as Johnny Marco, an errant film director whose life changes for the better when his teenage daughter Cleo, Elle Fanning , appears on the scene from a broken marriage.
Somewhere is a poignant yet slow to boil narrative, with the kind of film time and space that is typical for Coppola. This means a subtle yet direct language ripe with images and dialogue that cause reflection. The Oscar winning directer was present at the awards ceremony in Venice along with Dorff and Fanning.
Father Francis Ford Coppola encouraged Sofia to make this film, because it was a story she felt compelled to tell. Somewhere takes place in LA and Milan in a hotel environment that the young Coppola was used to when traveling with her famous father.
Elle Fanning plays her character brilliantly with patience and presence. Cleo helps Johhny Marco come to terms with his empty personal life of loose relationships and drugs. Dorff is excellent as a director that finally comes to terms with the shallowness of his life.
List of Official Awards from the 67th Venice Film Festival
"VENEZIA 67
The Venezia 67 Jury, chaired by Quentin Tarantino and comprised of Guillermo Arriaga, Ingeborga Dapkunaite, Arnaud Desplechin, Danny Elfman, Luca Guadagnino, Gabriele Salvatores, having viewed all twenty-four films in competition, has decided as follows:
GOLDEN LION for Best Film:
SOMEWHERE by Sofia COPPOLA (USA)
SILVER LION for Best Director to:
Álex de la Iglesia for the film BALADA TRISTE DE TROMPETA
(Spain, France)
SPECIAL JURY PRIZE to:
ESSENTIAL KILLING by Jerzy SKOLIMOWSKI
(Poland, Norway, Hungary, Ireland)
COPPA VOLPI
for Best Actor:
Vincent GALLO
in the film ESSENTIAL KILLING by Jerzy SKOLIMOWSKI
for Best Actress:
Ariane LABED
in the film ATTENBERG by Athina Rachel TSANGARI (Greece)
MARCELLO MASTROIANNI AWARD
for Best Young Actor or Actress:
in the film BLACK SWAN by Darren ARONOFSKY (USA)
OSELLA for Best Cinematography to:
MIKHAIL KRICHMAN
for the film SILENT SOULS (OVSYANKI) by Aleksei FEDORCHENKO (Russia)
OSELLA for Best Screenplay to:
for the film BALADA TRISTE DE TROMPETA by Álex de la Iglesia
SPECIAL LION FOR AN OVERALL WORK to:
Monte HELLMAN
LION OF THE FUTURE – "LUIGI DE LAURENTIIS" VENICE AWARD FOR A DEBUT FILM
Lion of the Future – "Luigi De Laurentiis" Venice Award for a Debut Film Jury at the 67th Venice Film Festival, comprised of Fatih Akin (President), Nina Lath Gupta, Stanley Kwan, Samuel Maoz, Jasmine Trinca, has unanimously decided to award:
COGUNLUK (MAJORITY) by Seren YÜCE (Turkey) – VENICE DAYS"
Michelle Williams Re-defines Women in the West
September 7, 2010 2:22 PM MST
Michelle Williams in Meek's Cutoff
Michelle Williams as Emily Tetherow is the middle ground behind Meek's Cutoff. The film directed by Kelly Reichardt is part of the official competition at the 67th Venice International Film Festival. It is about three covered wagons with settlers trying to make it across the rough in Oregon, in what was later to be called "Meek's Cutoff".
Numerous shots position the wagons and the bonneted women, and the landscape for a good part of the introduction to the film. But when Emily spots "The Cayuse" (Rod Rondeaux), a Native American, while gathering firewood the settlers go after him and tie him up.
Eventually Emily gets into a firepower standoff with Steven Meek (Bruce Greenwood) about whether or not to allow the captive to live and lead the settlers to water. Meek has been obstinate about the course the settlers should take and is a bossy bigot. His view of men as forces of destruction and women as chaos doesn't really fit with what Emily understands is a question of survival for men and women alike. The settlers are tired, hungry and in need of water. She knows only "The Cayuse" can lead them to it.
There is plenty of room for contemplation in this film, which is why it was chosen to compete for the Golden Lion, which will be awarded on September 11.
Pernilla August's Beyond Hits Home Run at Venice
September 6, 2010 12:12 PM MST
Tehilla Blad, Pernilla August and Noomi Rapace. "Beyond" , 67th Venice Film Festival.
Heppfilm
Swedish actor/director Pernilla August presented her film Beyond at International Critics Week at the 67th Venice Film Festival today, and received the longest and warmest standing ovation I've encountered at this festival. The film is based on a novel by the Finnish author Susanna Alakoski entitled Svinalängorna. The Swedish title, virtually unsuitable abroad to nameplate this film is an expression used for housing areas with primarily immigrants. The housing areas in Ystad in Southern Sweden composed primarily of Finnish immigrants were referred to as "pigsties".
The story is about a Finnish couple whose relationship is troubled due to alcoholism. They have some of the lowest paid jobs in Sweden and the father drinks and beats his wife when intoxicated. Their young children stand by defenseless trying to survive. Finnish actors Ville Virtanen and Outi Mäenpää play Kimmo and Aili. They have worked together for 20 years according to Mäenpää but never played a couple. Their closeness shows in a skillful and authentic collaboration.
Young Leena (Tehilla Blad) takes care of her younger brother Sakari (Junior Blad) and tries to also take care of her parents. The film critically looks at adult children of alcoholics with insights into how such a childhood leaves emotional wounds that take time to heal.The adult Leena is played by Noomi Rapace and Tehilla Blad and her were both featured in the Millennium Trilogy based on the novels by the late Stieg Larsson as the younger and olderLisbeth Salander.
A first for Noomi Rapace is the opportunity to play opposite her real life husband Ola Rapace (Johan) who is a supportive spouse during Leena's trip back to visit her dying mother in a hospital with their two young children. This is not an easy role for either the young or the older Leena and the authenticity of these two actors' performances is astonishing. Such roles require precision, waiting, feeling, and even closing down and disassociating from reality. This is hard to do on film, but its done by these talented actors.
The cinematography and editing of the film provide an introspection that brings the harsh reality of this family close to the spectator. Sometimes too close, which is why the emotional impact of the film hits the audience in a profound way. There was no wild applause afterwards, but warm and genuine response as the actors stood to take their bows. They then were lead to the stage to take some questions from Italian film critics about the content of the film and the roles each of the main actors played.
Pernilla August pulled this extraordinary drama together and perhaps having worked so close with Ingmar Bergman had an impact on the strength of the work, for the late Swedish auteur is known for revealing complex and soul searching emotional details. Beyond is very much such an introspection, but done in a contemporary cinematic style that is visceral and demanding. The focus on female psychology is modern, and it clearly is Pernilla August we learn about as director, despite her influences. Nothing is created in a vacuum and the life experience and steady hand and warm heart of August shines through brilliantly in her directorial signature.
August said that the cast and crew came to the stage as "scientists" and went to work, illuminating their characters. The process has created a masterly film and should be a front runner for awards around the world and especially during International Critics Week in Venice.
We are waiting for the film to come to San Francisco.
Sofia Coppola's Somewhere Opens at Venice Film Festival
Stephen Dorff, Sofia Coppola and Elle Fanning 67th Venice Film Festival
Sofia Coppola brought Somewhere, her latest feature, to the 67th Venice Film Festival. The Oscar winning director has done a trilogy on young women and has now turned to young men in her style of contemplative introspection.
The film is set in Los Angeles and Milan and concerns a privately errant director Johnny Marco (Stephen Dorff) who has been left by his partner and who tries to spend quality time with his daughter Cleo (Elle Fanning). She is just about to go off to summer camp and he drives her in his elegant Ferrari, a machine that symbolizes his wealth and esteem, but not his emotional IQ.
Johnny is on the road often and stays in hotels where room service fulfills his every desire. Cleo gets used to it all, and is a pretty good cook, making her father eggs benedict and pasta like a first rate chef. But she is not too happy about one of his pushy girlfriends who shows up while they are supposed to be alone. This happens when she accompanies Dad to Milan to pick up a TV award. During the televised awards show he is flanked by scantily clad dancing women, much to his surprise and Cleo's amusement. Coppola does seem to poke a bit of fun at the cheesiness of the entertainment industry in Milan, the fast talking reporters, clamoring fans and service personnel who will do anything for Johnny Marco.
Coppola is the darling of the Italians and cause celebre because of her family roots in Italy and famous father. She did mention him a few times in regards to questions about her film. When asked about why her films are often set in hotels, she said she spent a lot of time in these spaces while traveling with her director father. Could Cleo be a little like father Francis Ford Coppola? Or more like bad boy VIncent Gallo with his messed up hair, jeans and t shirts. (Family friend Gallo brings to Venice Promises Written in Water and has left out any explanation in advance). Elle Fanning is purely magnificent in her role and a joy to watch.Stephen Dorff shrugged off a remark if playing Marco was the defining moment of his career, but certainly a role he enjoyed.
On making this film, Sofia said her father felt that you should do the films you are interested in making and go for it.
Somewhere opens in San Francisco on December 24th. It should be worth the wait.
Michelle Williams Re-defines Women in the West Mi...
Sofia Coppola's Somewhere Opens at Venice Film Fes...


The first time I put on a Santa suit was for pictures with my granddaughter before her first birthday. My suit was a cheap one bought in a clearance sale. It would do for the photo shoot and then would probably be put away — never to be worn again. Or so I thought. When time came for the photo shoot, she climbed up in my lap and it happened. She looked up and her mouth and eyes opened wide. It didn't matter about the cost of the suit or what the surroundings were. The magic of Santa had arrived. From that moment I was hooked.
Christmas is a time of giving and sharing. The original St. Nicholas demonstrated this through his giving. He gave to those in need and did so secretly. Nicholas' Christian upbringing and belief in Jesus led him to start this ministry. His love and caring influenced others and the legacy continues. Being a Santa allows me to help bring out the child in both young and old. I have the honor of meeting children of all ages, backgrounds and circumstances in life and create those magical moments that will last a lifetime by sharing the gift of our Father with all.
REAL Santas know the REAL reason for the season!


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import com.sun.xml.ws.api.addressing.AddressingVersion;
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import com.sun.xml.ws.developer.WSBindingProvider;
import com.sun.xml.ws.message.StringHeader;

import java.util.UUID;

import javax.xml.ws.WebServiceRef;
// !THE CHANGES MADE TO THIS FILE WILL BE DESTROYED IF REGENERATED!
// This source file is generated by Oracle tools
// Contents may be subject to change
// For reporting problems, use the following
// Version = Oracle WebServices (11.1.1.0.0, build 130224.1947.04102)

public class SalesPartyServiceSoapHttpPortClient
{
  @WebServiceRef
  private static SalesPartyService_Service salesPartyService_Service;

  private static final AddressingVersion WS_ADDR_VER = AddressingVersion.W3C;

  public static void main(String [] args)
  {
    salesPartyService_Service = new SalesPartyService_Service();
    SalesPartyService salesPartyService = salesPartyService_Service.getSalesPartyServiceSoapHttpPort();
    // Get the request context to set the outgoing addressing properties
    WSBindingProvider wsbp = (WSBindingProvider)salesPartyService;
    WSEndpointReference replyTo =
      new WSEndpointReference("http://<replace with the URL of the callback service>", WS_ADDR_VER);
    String uuid = "uuid:" + UUID.randomUUID();

    wsbp.setOutboundHeaders( new StringHeader(WS_ADDR_VER.messageIDTag, uuid), replyTo.createHeader(WS_ADDR_VER.replyToTag));

    // Add your code to call the desired methods.
  }
}

redpajama_set_name: RedPajamaGithub


For more than 125 years, Portland General Electric (PGE) has provided safe, reliable and responsibly generated power to 1.8 million homes throughout the greater-Portland area. For decades, utilities like PGE operated in a competition-free environment under regulated monopolies. The landscape has changed—competitors have entered the marketplace.
Coraggio was first hired to work with the PGE executive team to evaluate and refine its corporate strategy in response to this evolving marketplace. By 2010 several divisions were focusing on implementing various parts of the organization's long-term direction.
The first division to begin the Lean journey was Human Resources (HR). HR had completed a benchmarking study, which showed that while it was world-class in its effectiveness, there were opportunities to improve efficiencies. Coraggio assisted HR in developing its strategic plan, which included both definition and alignment on organizational values and the launch of a formal Lean transformation. The goal of the transformation was to increase key process efficiency over the next three years and to begin the long-term process of creating a culture of Lean thinkers.
Our challenge was to help PGE leadership improve the HR division's efficiency while maintaining its effectiveness. Lean was an ideal strategy to utilize given its focus on the customer, value and respect for individuals.
Also important was the need to understand the leadership and organizational culture that had developed over time and then help it evolve to one that willingly embraced change and understood how to think about their work differently.
In partnership with PGE leadership, the Coraggio team deployed in all aspects of the Lean rollout, including: defining the Lean strategy, designing a multi-year roadmap and resourcing plan, training internal Process Leads, and facilitating or coaching more than ten process improvement teams. Additionally, a key effort was aligning and equipping leadership on their role as Lean leaders so they could consistently and effectively model the way. Coraggio equipped Process Leads in an apprenticeship-type program that combined classroom teaching, role-playing and testing, with co-facilitation and mentoring during process improvement projects.
Now, more than two years into its Lean journey, HR has implemented Lean in all of its core processes and achieved year- over-year cost reductions for the division while maintaining its world-class level of effectiveness. In the processes Coraggio has facilitated for PGE, process improvement teams have delivered no less than an average 19% reduction in process time while maintaining or improving outcomes for customers.


I'm not posting any pics of Zion.
Well, okay, just one. That's the view from my balcony at Zion Lodge.
Believe me, I've taken a lot of pictures since I arrived here this afternoon. But the wifi here at Zion Lodge is dreadfully slow. It took three minutes to upload this one picture!
I also took a lot of pictures this morning on one last hike at Bryce, to Mossy Cave. This is a hike that is accessed from a separate trailhead on Route 12, east of the park entrance.
And I took even more pictures at Red Canyon, an area about ten miles west of Bryce that is administered by the National Park Service.
I stopped for lunch at a German Bakery and Cafe in the town of Orderville, about halfway between Bryce and Zion. So many of the patrons were speaking German, I wondered if this town is a little enclave of German immigrants. But they actually made a delicious grilled pastrami sandwich with Swiss cheese and sauerkraut.
I got to Zion early this afternoon. Just driving into the park was a revelation that confirmed I am not numb to beauty just because I've seen so much of it already. Zion takes it to a whole new level.
Which brings me to consider that I may not post any photos from this wonderful place, for a few reasons. First, photos cannot capture it. Unlike the Grand Canyon, or the Red Rocks of Sedona, or the hoodoos of Bryce, there is not really scenery here. Rather, it is a feeling of just being among the beauty and majesty. At the Grand Canyon you're in the audience and the canyon is the stage. Here, there is no separation between audience and stage.
The second reason you might not ever see my pictures from Zion is that they will serve me well as a reminder of my experience here. They will not provide the same value to you. This is a place that offers a unique experience to each visitor. My pictures are of my Zion. In a sense they will be too personal to share, but in another sense they will give you no indication whatever of what Zion is.
I did have a wonderful dinner at the lodge, sitting outside on the terrace as deer grazed on the lawn below and with a view of the mountains against the gradually darkening sky. And I'm sitting on my balcony as I write this, listening to the chirping of crickets and not much else.
Everyone should come and experience this. Well not this — this is my Zion. Get your own!


text:
Naz El-Khatib
Naz El-Khatib is DFC's Deputy Chief of Staff for Policy.
Before joining the team, he served at the State Department, where he primarily covered Indo-Pacific affairs among a range of other policy areas as a member of the Counselor's staff, and separately advised the Chief of Staff to the Secretary on internal initiatives. He previously served as an Associate Director of Policy at National Security Action, a non-profit organization, and as Deputy Chief of Staff to the Global Managing Partner of McKinsey, among other roles.
Mr. El-Khatib is a graduate of Stanford Law School, Cambridge, and Yale. He is a native of Pittsburgh, Pennsylvania.


text:
Pettis Sits Down with JSerra Blog to Talk Football
The senior wide receiver from San Clemente has been at the top of every Top 10 list in Orange County, and now the senior Lion takes time out to talk with JSerra Blog.
Coming off of a record setting track season, Pettis shifts gears to prep for the upcoming football season, focusing on only one of four sports he plays. Pettis has a lot to play for this season before heading off to play Division l ball, for schools like Nevada and San Diego State.
With 28 catches, 547 yards, and 20 tackles last season Pettis was named Impact Player of the Year, and made first team All-Trinity League. So what's in store for this season?
See what Pettis had to say out on the field where it all begins.
Click the photo to watch more on Pettis.
Posted in Athletics, Awards, Football, JSerra, JSerra Catholic High School, News coverage, Sports, The Pride, Trinity League


text:
Misha Friedman
Being gay in Russia is lonely and dangerous. Homophobic rhetoric is encouraged by the state. Violence and discrimination are tolerated. Although homosexuality was decriminalized in Russia more than 20 years ago, it remained classified as a mental disorder until 1999. Recently, homophobia has become more virulent.
According to a recent official poll, 80% of respondents opposed gay marriage. 41% said they support discrimination based on sexual orientation. 20% consider gay people dangerous and said they should be "isolated from society." Only 3% said LGBT people should be able to raise children.
An amendment to Russia's Child Protection law passed in June 2013 criminalizes what it calls "propaganda of non-traditional sexual relations among minors." Its ambiguity and selective use effectively make it illegal for any kind of gay event to take place or to even mention acceptance of homosexuality in public.
With a significant increase in hate crimes, hundreds of LGBT Russians are asking for asylum in the United States.
Photographer Misha Friedman documents how members of the LGBT community live under these conditions. They are prisoners in their own homes, hiding their identities, afraid to live a full life while looking for hope elsewhere.
Misha Friedman was born in Moldova in 1977, and graduated with degrees from Binghamton University and London School of Economics, where he studied economics and international relations. He worked in corporate finance and later in humanitarian medical aid while teaching himself photography. Friedman's analytical approach to storytelling involves trying to look beyond the facts, searching for causes, and asking complex and difficult questions. Sometimes he succeeds.
Friedman regularly collaborates with leading international media and non-profit organizations, including the New Yorker, Time Magazine, Sports Illustrated, Amnesty International, and Doctors Without Borders. His widely-exhibited work has received numerous industry awards, including multiple grants from the Pulitzer Center on Crisis Reporting. Friedman lives in New York City.
The Pulitzer Center on Crisis Reporting
The Pulitzer Center raises awareness of underreported global issues through direct support for quality journalism across all media platforms, and a unique program of education and public outreach. We support over 200 reporting projects a year in partnership with more than 150 news organizations, with an increasing focus on regional and local outlets to ensure we are reaching diverse audiences. We are raising awareness of the interconnected nature of the greatest challenges of our times and pointing to possible solutions. We serve global public-interest journalism by engaging wide audiences on deeply reported topics, and inspiring the next generation to value credible news and cross-cultural understanding.
The Iron Closet
Featuring: Misha Friedman
Curated by: Evey Wilson
Presented by: The Pulitzer Center on Crisis Reporting
View Location Details Number 1 on the official photoville map Click to download this year's map Brooklyn Bridge Park – Emily Warren Roebling Plaza
1 Water St
#Global Stories
#Human Rights
#Identity
#Immigrant Stories
#LGBTQ+
Photography and the Battle for Global LGBT Rights
Join the Pulitzer Center on Crisis Reporting for this panel convening photographers who are documenting LGBT communities in Russia, Uganda and North America.


Business training has proven to be an invaluable asset in my life. It has caused me to see where some of my shortfalls have been, and where I can step up my game.
I am certainly not the most knowledgeable person in business, but I continue to learn on a daily basis. If you want to make a profitable, sustainable music business or career, you may find it helpful to adopt some of the business mentality mindsets presented here.
The first step in creating a profitable business on the side is having a steady source of income that covers your basic needs. Without this in place, you may find it a challenge to focus on building your business. I found it difficult because I was constantly looking for ways to make more money. My work was not coming from a place of creative freedom. It was coming from a place of restricted urgency.
This would imply a job. Obviously there are other ways of covering your expenses, but it's best to start with something that's hassle-free and predictable whether 30 hours a week or 50 hours a week. If your lifestyle is streamlined enough, you actually wouldn't have to spend a lot of time at a day job. A part-time job would do. The more passion and focus you can bring to your musical efforts, the better. Having your needs taken care of would mean less worry and less trouble. Money will take up less mind space.
Your job is likely going to be during the hours of 9 to 5 or something similar. At least it should be, because you're going to want your evenings and weekends free. Therefore, this is not a question of what you do with your day, but rather what you do with your 5 to 12. This is the time you should take to build your music career. It doesn't matter if you start with 30 minutes a night or 3 hours a night, the point is to build consistency. Momentum is a by-product of consistency.
Whether you're building your website or posting to Facebook, it's easy to get sidetracked if you don't know what purpose it serves. You may not have many people interacting with your content to begin with, but remember that over time that will change. The more consistent you are, the more engaged people will be. Create a habit and keep doing it even when you don't feel like it. A music career will require a fan base, and a fan base needs to be engaged.
If you don't have a separate bank account for your music finances, it's time to get on it. The money you earn from your musical endeavors is your seed money. It's the money you should take to build your music career, whether it's touring or recording. Music will require money, but it's not necessary (nor advisable) to go into debt.
It's all too easy to take the money you earned from a gig and spend it on fried foods or alcohol. Even if your earnings are slim, this is not the best plan. Allow yourself some grace in this area, but not too much. Remember that your music earnings are going to go towards more important things.
For example, if you had a recording studio and earned a total of $2,000 from a year's work, that's $2,000 you would not have otherwise. You may not think that this is a lot of money, but that's $2,000 that could go towards that Neumann mic you've been drooling over, or to take out an ad in a local paper (which can cost a hefty sum, but will get your name out there). You could buy a domain name and start a website, or make some business cards. You could also save up for another year.
As long as you're trying to grow and create success in your life, you should be looking for ways to get out of your comfort zone more frequently. It's easier said than done, true, but there are even studies showing that those who frequently get out of their comfort zone have greater incomes. I would even argue that it isn't so much the act of getting out of your comfort zone as it is the value you add to people when you do so. If you're not sure how to add value to people, that's nothing a few good books couldn't cure. You can check out the resources page for some suggested reading.
If you feel overwhelmed, start small. You don't have to go jumping out of a plane tomorrow. Call or email those people you've been meaning to talk to. Book a show at a venue that is a little outside of your current network and reputation. Strike up more conversations. You know what you need to do.


Viscon Fresh Produce invites you to Fruit Logistica 2017!
Viscon invites you to Fruit Logistica 2017! Fruit Logistica is the leading international meeting place of the fresh produce trade. Viscon will be attending the Fruit Logistica in Berlin and will present the latest innovations on growing, harvesting and packing fruit and vegetables.
Between 8-10 february 2017, over 2.600 suppliers active in the entire produce value chain are expected in one single location. This exhibition is a platform for initiating business deals, giving you opportunities to establish worldwide contacts, to gain a complete overview of the latest trends and it provides you with innovations and new developments, which we of Viscon are eager to show you.
We would like to welcome you at booth C-09 in hall 4.1.


On March 26th 2013, retired Professor Don Easterbrook from Western Washington University gave a devastating testimony before a Washington State Senate Committee against the belief that human induced CO2 is causing global warming. He opened up his presentation by criticizing media bias and the politicization of science through climate change, and said the planet is getting cooler rather than warmer.
Easterbrook acutely remarked that while CO2 levels have continued to rise since World War II, the planet underwent a significant cool down between 1940-1975. He also emphasized that another cooling trend abruptly began again in 1998. Like the cycle of 1940-1975, Easterbrook predicted cooling weather will continue for the foreseeable future. So far his prediction has come true -- and CO2 levels continue to rise.
Although many greens in Washington State were earlier trying to use lower snow packs in the Cascade Mountains as evidence of global warming, such arguments have fallen by the wayside as the snows of Rainer have returned and continue to mount since the late 1990's after a 20 year period of mediocre snowfalls (1976-1996). In early April 1999, Paradise Ranger Station on Mt. Rainier (+14,411) recorded a whopping 280 inches of snowpack on the ground -- which is over 23 feet. That same year, Mt. Rainier's twin sister to the north, Mt. Baker (+10,750), broke the all-time snowfall record for one year with 1,140 inches (95 feet -- snowfall does not record snowpack, only the accumulation of each particular snow event) at its ski resort. The previous all-time record for snowfall in one year was held by the Paradise Ranger Station itself when 1,122 inches of snow fell in the winter of 1971-72. By mid-April of 1972, there was 302 inches of snow on the ground at Paradise, which is over 25 feet. That Washington State snow is very wet and heavy also indicates that such deep snowpacks are profound indeed. In other words, the Washington Cascades are some of the snowiest mountains on earth. Though the Cascades are certainly localized to the Pacific Northwest, they are still important weather barometers.
Throughout the 20th century, Paradise Ranger Station (+5,400 feet) was known for its absurdly high consistent snowfalls and snowpacks. Between 1920 and 1980, Paradise usually recorded a snowpack greater than 200 inches (almost 17 feet) 4 to 5 times out of each decade. In particular, the decade of 1945-1956, and then again from 1966-1976, were characterized by very deep snowpacks. The average snowpack between 1945-1956 was an incredible 231 inches, and then 225 inches between 1966-1976, far surpassing the average snow packs of the 1930s, which was 188 inches. In comparison, even the very snowy 1920s only averaged 200 inches of snow.
However, the great snows between 1945-1976 came to an abrupt end by the spring of 1977 in which Paradise only had 126 inches of snow on the ground, barely over ten feet. More modest snow packs continued on up until the spring of 1996. Between 1976-1996, the Paradise Ranger Station surpassed the 200 inch mark only twice -- in the springs of 1982 and 1984. This was a very marked change from previous decades.
As such, the 1997 hefty spring snowpack at Paradise of 258 inches (almost 22 feet), was actually a harbinger of much snowier winters to come. Since 1997, Paradise has surpassed the 200-inch mark eight times. Even this last winter, which was very quiet for Pacific Northwest standards, Paradise still showed a snowpack of 197 inches in mid-April -- just 3 inches shy of that exceptional 200 inch mark.
Since 2006, Paradise has averaged a very snowy 205 inches of snowpack each year, compared to only 168 inches between 1976-1996. Even more incredible, on June 1st 2011, Paradise still had a snowpack of 201 inches -- it is off the charts to have so much snow on the ground so late in the year. Since 1996-97, Paradise has averaged 196 inches of snow pack each year, which is actually a very high number because such consistency spans almost two decades. The snows of Rainier have thus been perfectly consistent with Easterbrook's contention that 1940-75 represented a cooling trend, and that the warming trend of 1976-1997 was halted by the present cooling trend that began in 1998.
In other words, in spite of the fact that global warming advocates have been complaining that the weather of the 21st century has so far been the warmest on record, it is simply not true. According to Easterbrook, such hand-wringing is not based on original raw data, but has been created from computer model adjustments that artificially elevate the warmth of this last decade and purposefully devalue the truly warm decade of the 1930s -- the Dust Bowl years. Easterbrook states 1936 was the hottest year as far as modern records are concerned, but he also pointed out that in ages past, the earth was far warmer than it is now. Easterbrook went on to say the planet is still in the process of coming out of the Little Ice Age (1300-1850), and that the warm-up began long before human induced CO2 could have been the culprit.
After almost two hours of unrelenting scientific testimony, Easterbrook totally destroyed virtually every known tenet of global warming/climate change fearmongering. While Easterbrook did believe there has been global warming since the Little Ice Age, he point-blank stated that human-induced CO2 cannot cause temperatures to rise. Easterbrook said that carbon dioxide is a trace gas. Its levels are so close to zero that even if one were to double them, the total sum would still essentially be zero. Green junk science is largely based on converting ecological minutiae into grave apocalyptic concerns.
Easterbrook also said the Antarctic Ice Sheet is growing. He stated there was no chance the ice sheet can melt anyway precisely because the average temperature of this continent is -60F. In other words, a 100 degree temperature swing is required for the ice sheet to start melting -- which is not going to happen. He also smartly contended that there is no ice sheet on the North Pole, only an ocean, and that polar bears are doing great in the icy sea waters in spite of the warming trend since the Little Ice Age.
During the lecture, Easterbrook debunked several more favorite global warming beliefs. He demonstrated sea levels have only been rising by about seven inches a century since the Little Ice Age, which has little to do with melting glacial ice. He also demonstrated severe storms were not becoming more frequent, but actually less frequent. Neither did he fail to say that ocean acidification is a myth, or that global warming advocates were tampering with the data -- all of which left one particular Democratic senator stunned.
Even though similar scientific arguments have been readily available for anyone to read for several years now, it was obviously the first time the Democratic senator had ever been confronted with such a scientific presentation of the evidence contrary to his own global warming outlook. His political point of view had insulated him from seeing reality -- which Don Easterbrook constantly tried to correct with empirical scientific data rather than with politicized computer models. The great problem, however, is that climate change advocates have become willfully snow blind.


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News Release 6-Mar-2019
The science of knitting, unpicked
Research into the mathematical rules that underlie the ancient art of knitting at Georgia Institute of Technology may help engineer innovative new materials, from bioengineering to aerospace
image: Topological defects in the square can shape the (a) out-of-plane and (b) in-plane deformations of knitted textiles. view more
Credit: Elisabetta Matsumoto
WASHINGTON, D.C., March 6, 2019 -- Dating back more than 3,000 years, knitting is an ancient form of manufacturing, but Elisabetta Matsumoto of the Georgia Institute of Technology in Atlanta believes that understanding how stitch types govern shape and stretchiness will be invaluable for designing new "tunable" materials. For instance, tissuelike flexible material could be manufactured to replace biological tissues, such as torn ligaments, with stretchiness and sizing personalized to fit each individual.
At the American Physical Society March Meeting in Boston this week, Matsumoto will present her work on the mathematical rules that underlie knitting. She will also participate in a press conference describing the work. Information for logging on to watch and ask questions remotely is included at the end of this news release.
"By picking a stitch you are not only choosing the geometry but the elastic properties, and that means you can build in the right mechanical properties for anything from aerospace engineering to tissue scaffolding materials," said Matsumoto.
Matsumoto enjoyed knitting as a child and when she later became interested in mathematics and physics, she developed a new appreciation for her hobby.
"I realized that there is just a huge amount of math and materials science that goes into textiles, but that is taken for granted an awful lot," said Matsumoto.
"Every type of stitch has a different elasticity, and if we figure out everything possible then we could create things that are rigid in a certain place using a certain type of stitch, and use a different type of stitch in another place to get different functionality."
Members of the Matsumoto group are beginning to delve through the complex math which encodes mechanical properties within the interlocking series of slip knots of a material. But applying the pure mathematics of knot theory to the huge catalog of knit patterns is a tricky process for Matsumoto's graduate student, Shashank Markande.
"Stitches have some very strange constraints; for instance, I need to be able to make it with two needles and one piece of yarn -- how do you translate that into math?" said Matsumoto.
But Markande is starting to build the knit algebra into larger, more complex patterns, and he feeds this into the elastic modelling of simple latticelike knits, which Matsumoto's post-doc, Michael Dimitriyev is developing.
Dimitriyev's fabric behavior solving code is showing potential beyond material design, in the realm of computer game graphics.
"Fabric and cloth tends to look a little strange in computer games because they use simple bead and spring elasticity models, so if we can come up with a simple set up of differential equations it may help things to look better," said Matsumoto.
For the moment, the Matsumoto group is focusing on very simple stitch patterns and curves in knitted lattices; however, soon they hope to understand how knits behave in 3D.
But as they tease out the math between the stitches, Matsumoto makes sure they keep their eyes on how these patterns come together by arranging the occasional crafting session with the origami group next door.
The 2019 APS March Meeting presentation "Twisted topological tangles: or the knot theory of knitting," by Elisabetta Matsumoto, Shashank Ganesh and Markande Dimitriyev, will take place Wednesday, March 6, at 8:00 a.m. in Room: 259A of the Boston Convention and Exhibition Center. ABSTRACT: http://meetings.aps.org/Meeting/MAR19/Session/K63.1
MORE MEETING INFORMATION
The American Physical Society (APS) March Meeting is a major international conference and the largest physics meeting of the year. In 2019, the APS March Meeting will convene March 4-8 at the Boston Convention and Exhibition Center.
Register as Press: https://goo.gl/forms/ur9dE24zCO1IVsLu2
Press Site: https://www.aps.org/meetings/march/press.cfm
Meeting Abstracts: http://meetings.aps.org/Meeting/MAR19/APS_epitome
Main Meeting Page: https://www.aps.org/meetings/march/
Hotel and Travel: https://www.aps.org/meetings/march/hotel-travel.cfm
APS will provide free registration to all staff journalists representing media organizations, professional freelance journalists on assignment, and student journalists who are attending the meeting for the express purpose of gathering and reporting news and information. Press registration grants full access to all scientific sessions, to the press room, and to the press conferences. We will also provide complimentary press registration to university press officers, PIOs and other professional media relations staff. For press related questions about the APS March Meeting, email media@aps.org.
A series of press conferences on newsworthy research will be webcast live from the conference on Monday, March 4 through Thursday, March 7. A schedule will be released the week before the conference. Members of the media should register in advance at https://webcast.apswebcasting.com/go/aps-march-19.
The American Physical Society is a nonprofit membership organization working to advance and diffuse the knowledge of physics through its outstanding research journals, scientific meetings, and education, outreach, advocacy, and international activities. APS represents over 55,000 members, including physicists in academia, national laboratories, and industry in the United States and throughout the world. Society offices are located in College Park, Maryland (Headquarters), Ridge, New York, and Washington, D.C. Read more: https://www.aps.org/
APS Media Line
media@aps.org
APS March Meeting 2019
/Applied sciences and engineering/Technology
/Physical sciences/Physics/Mechanics/Mechanical properties
/Social sciences/Anthropology/Cultural anthropology/Cultural practices/Recreation/Games/Video games
Knitting Is a Periodic Structure of Slip Knots
Five Fabrics (A) Stockinette, (B) Reverse Stockinette, (C) Garter, (D) 1X1 Ribbing And (E) Seed