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Fishery related activities may be subject to closure by Fisheries and Oceans Canada for conservation, safety, contamination, seasonal or other reasons. Please enter the order number in the “Order Number” search field, or enter a search criteria such as a species name, fishing area or province in the “Keywords” search field below.

Issuance Date:

2016-05-04

Species:

Bar Clams, Soft Shell Clams, Bay Quahaugs, Razor Clams, Clams, Oysters, Whelk, Bivalve Molluscs, Bay Scallops, Ocean Quahaug

Description:

Closing portions of waters in the Prince County of the Province of Prince Edward Island (PEI) for fishing of any bivalve molluscs.

Revocation:

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Publication Date:

2016-05-04 13:29:15 AT

Notice

The Regional Director General for the Gulf Region, Department of Fisheries and Oceans, hereby gives notice that the areas described below are closed for fishing for any species of clams, mussels, oysters, whelks and any other bivalve molluscs, including bay scallops in the Province of Prince Edward Island:

1)Tignish Arm and Tignish River inside a line drawn from grid reference 424396E 5200190N to grid reference 424367E 5200149N (Refer to maps Tignish 21I/16 and 11L/13);

2)Alberton Creek inside a line drawn from grid reference 418450E 5182648N to grid reference 418361E 5182801N to grid reference 418325E 5183163N to grid reference 418081E 5183454N to grid reference 418012.5E 5183839.06N (Refer to maps Tignish 21I/16 and 11L/13);

3)Dock Creek inside a line drawn from grid reference 418081E 5183454N to grid reference 418012.5E 5183839.06N (Refer to maps Tignish 21I/16 and 11L/13);

4)Meggisons Creek inside a line drawn from grid reference 414035E 5180547N to grid reference 414150E 5180878N (Refer to maps Tignish 21I/16 and 11L/13);

5)Mill River and its tributaries inside a line drawn from grid reference 411886E 5178352N to grid reference 412193E 5178140N (Refer to maps Tignish 21I/16, 11L/13 and O'Leary 21I/9);

6)Gordons Creek inside a line drawn from grid reference 417701E 5177855N to grid reference 417701E 5177775N (Refer to map O'Leary 21I/9);

7)Oyster River inside a line drawn from grid reference 417548E 5176474N to grid reference 417754E 5176025N (Refer to map O'Leary 21I/9);

8)That portion of Trout River inside a line drawn from grid reference 414597E 5171981N to grid reference 414709E 5171847N (Refer to map O'Leary 21I/9);

9)Mary River inside a line drawn from grid reference 414885E 5171456N to grid reference 415026E 5171374N (Refer to map O'Leary 21I/9);

10)Foxley River and its tributaries inside a line drawn from grid reference 421777E 5172030N to grid reference 421776E 5171842N (Refer to map O'Leary 21I/9);

UX for the Masses

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5 minutes read

I live in a small village near to Cambridge in the UK. In my village are a number of mini-roundabouts such as the one shown below. For those unfamiliar with roundabouts (another great British invention ) they are circular road junctions that are supposed to be safer and provide better traffic circulation than a more traditional junction. Drivers must give way to traffic already on the roundabout and then drive around the centre to get to their desired junction. If everyone does this then roundabouts can work well. However, the mini-roundabouts in my village have a problem, one that is caused by a design that does not properly consider the user’s mental model. Let me explain.

A mental model is the internal model that someone uses to quickly understand and interact with things in the real world. Rather than starting from scratch each time we are presented with a situation we will intuitively employ an internalised mental model which has been built up from real-world experience. In this instance users of the mini-roundabout are likely to employ one of two internal mental models:

A roundabout A road junction

The key problem with the mini-roundabouts in my village is that the mental model utilised by users can differ, leading to potentially very dangerous situations. Imagine for example two cars approaching the mini-roundabout. The first driver treats it like a junction, because he thinks that it looks more like a junction than a roundabout. He will therefore assume that he has right of way and that the driver approaching from the side road will stop to let him through. The second driver on the other hand treats it like a roundabout. She assumes that she has right of way and that the driver on the main road will stop to let her enter the roundabout. If both drivers blindly follow their chosen mental model, then it’s going to result in an almighty CRASH as each incorrectly assumes that the other will give way.

This lack of a consistent mental model is down to the poor design of these and countless other mini-roundabouts. The design does not help the user to select the intended mental model to use (i.e. a roundabout) because at a glance it could be interpreted as a roundabout, or as a junction. A better design would make it clearer which mental model to use, such as the example below which uses a sign and raised curb to stop vehicles from driving straight over the mini roundabout and to re-enforce the fact that a mini-roundabout is still a roundabout.

Mental models can have a huge impact on how users perceive and use something. Go against the mental model used by the vast majority of users, or make it unclear which mental model to use, and you’ve got the recipe for something that is confusing and unintuitive. So how do you go about designing products and services that are aligned with a user’s mental model? How do you help users to select the intended mental model to use? Here are some tips for doing just this.

How bad does CRPS get? He noted the plight of two CRPS patients in one of his studies. Their CRPS was triggered by rotator cuff surgery and by a broken toe. Their pain became so bad that one’s forearm and the other’s lower leg were amputated. That – and the changes he saw occurring in their skin tissue – stunned him.

Hooking up with another researcher, Howard Fields, he began using techniques never before used in pain researchto examine the nerves in the skin of people with a variety of chronic pain conditions.

First came a study on shingles, then one on CRPS, and then last year a Fibromyalgia study. All revealed increased numbersof autonomic nervous system and, in particular, sensory nerves in the skin of the hands of FM patients.

How the Fibromyalgia Study Got Done

It took three years to get the Fibromyalgia study done. They’d noted that the serotonergic and noradrenergic reuptake inhibitors (SNRI) approved for Fibromyalgia affect the nerve fibers in the skin – in particular, the nerve fibers that converge on and regulate the blood vessels that control the flow of blood to the skin. Two types of sympathetic nerve fibers – one that constricts and one that dilates the blood vessels – are found. Through the production of noradrenaline these nerve fibers also influence that activity of the sensory nerves in the same way that SNRIs are supposed to work. Using that information they got drug company money to help them complete the study.

Study Results

They found ten times the number of nerve fibers expected surrounding the shunts that regulate blood flows into the hands of people with Fibromyalgia. This suggested blood might be readily flowing into the hands of FM patients but might be having trouble flowing out. The hands, it turns out, serve as blood reservoirs for the rest of the body. They fill up with blood when the body is at rest and send blood to other areas of the body when needed. Their findings suggested that reduced blood flow out of the hands of FM patients could result in low blood volume in, say, their muscles, when they attempted to exercise, thereby causing fatigue and pain. They suggested that sleep, pain, and cognitive issues could also be associated with this problem.

Cautionary Note

He cautioned that it was a small study (24 FM patients) and needs to be validated, but the fact that 75% of the FM patients in the study demonstrated the pathology was striking. That kind of consistent result, he said, does not often happen. He said he was ‘very excited’ about the findings.

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Drug Effectiveness Poor in Fibromyalgia and Chronic Pain

based on the deep morphosyntactic and semantic analysis

In addition, the rules incorporate advanced expressions (regular, proximity, logical operators) and macros that multiply their expressiveness. The advantage is that instead of basing the rules on literal forms of the terms we can base them on the function and meaning of the expressions . In this way, an optimal trade-off between simplicity (abstraction) and power in the creation of categorization models can be achieved.

instead of basing the rules on literal forms of the terms we can base them on the function and meaning of the expressions

Applications

The scenarios that can benefit from a detailed and precise categorization are innumerable, among them:

Content categorization

Classifies with great detail and precision all types of content (e.g., web pages, news) to be able to retrieve them, navigate them, and relate them better or insert targeted advertising.

Deep understanding of documents

Discover the topic and subtopic structure of a complex document (contract, financial report) to have a map of its meaning and to be able to focus subsequent analyses (e.g., extraction of terms in contract clauses).

Analysis of the Voice of the Customer

analyze the unstructured feedback generated by customers in surveys, contact centers, or social media to discover their needs, perceptions, and preferences. Available as a FANTASIA BOUTIQUE ® FLC053 Rutter Bow Loafers Faux Suede Rhinestone Low Heel Slip On Flat Shoes Black ziQxXUJe
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Analysis of the Voice of the Employee

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Advantages of the Deep Categorization API

Deep Categorization offers great advantages over other more traditional classification technologies:

Granular

It categorizes at the snippet level, discovering the thematic structure of a document, for example, to identify the clauses and passages of a contract that have to do with a certain topic.

Accurate

Based on semantic rules, you can increase accuracy and recall to levels that are unattainable with other technologies, simply by adding focused rules.

Dynamic categories

Personal dictionaries can be used to define entities and concepts in certain semantic classes (e.g., brands) that are dynamically used in the rules that define the categories.

Self-explanatory

It justifies the assignment of the categories to the snippets, showing the expressions that have triggered the corresponding rules, and provides confidence metrics.

For short texts and complex documents

The rule-based technology provides good results both in texts with few words and in documents with multiple sections.

Predefined models

Use the API immediately taking advantage of its pre-prepared categorization models, such as those for the analysis of the Voice of the Customer or the Voice of the Employee included in Agora Womens Boots Black black l1vs7apc2G
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Customizable (coming soon)

Use our tools for rule creation and validation to easily build models that are fully adapted to your scenario.

Does not require exhaustive training corpus

Unlike other technologies, semantic rules allow the development of models without the need for an extensive training set, with no more than an abstract understanding of the categories.

Multilingual

Currently available in 6 languages ​​and soon in many more.

When to use Deep Categorization instead of Text Classification?

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offers a perfectly viable alternative when it comes to categorizing contents according to a predefined taxonomy, especially when you have training texts that serve to feed its machine learning technology. However, there are scenarios for which we recommend using Deep Categorization:

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