Additional Resources
Whenever we look at a map, we inherently start turning that map into information by finding patterns, assessing trends, or making decisions. Spatial statistics empowers you to answer questions confidently and make important decisions using more than simple visual analysis. Below are resources that will help you learn more. If you have questions or awesome analysis stories, there is a Spatial Statistics Forum on GeoNet – We’d love to hear from you!
This is the big encompassing list of our resources, for focused resources check out Presentations or Hands On.
Resource Topics
- COVID-19 Analysis
- Space Time Cube Explorer
- Presentations from the User Conference
- Brand new to spatial statistics?
- Summarize
- Find clusters
- Model relationships
- Space Time Pattern Mining
- Tips and tricks
- Putting it all together
- Articles and blogs
- Integrating ArcGIS and R
- Model and script tools
- Read More
COVID-19 Analysis new
The ArcGIS Pro COVID-19 Modeling Toolbox provides CHIME Model v1.1.5 and COVID-19Surge (CDC) tools for ArcGIS Pro 2.3 and later to assist hospitals, cities and regions with intervention and resource planning during the COVID-19 pandemic.
- CHIME Model tool (Video)
- COVID-19Surge tool (Video)
- Analyze COVID-19 Risk Using ArcGIS Pro (Lesson)
- Evaluate County Readiness for Relaxing Stay-at-Home Measures (Tutorial)
- Evaluate COVID-19 Financial Vulnerability (lesson)
- COVID-19 Response: Location Allocation (Video)
Space Time Cube Explorer
The Space Time Cube Explorer add-in can help you interact with and explore your space-time cube and analysis results created with the Space Time Pattern Mining toolbox in a simple and intuitive way. This update includes many new features and enhancements such as the ability to output 3D polygons from a defined locations cube and enhanced time and range slider settings.
You can download the Add-in at here .
Brand new to spatial statistics
Start here >
- Spatial Statistics: Simple Ways to Do More with Your Data (Video)
- Spatial Data Mining: A Deep Dive into Cluster Analysis (Video)
- Hot Spot Analysis for ArcGIS 10.1 (Tutorial)
- Beyond Where: Modeling Spatial Relationships Using Regression Analysis (Video)
- Beyond Where: Using Regression Analysis to Explore Why (Tutorial)
Summarize
Use descriptive statistics to explore your data
- Spatial Statistics: Simple Ways to Do More with Your Data (Video)
- Spatial Trends of International Piracy (Story Map)
- Spatial Pattern Analysis of Dengue Fever (Video)
Find clusters
Discover hot spots, cold spots and outliers
- Spatial Data Mining: A Deep Dive into Cluster Analysis (Video)
- Analyzing violent crime (Tutorial)
- Investigating Medicare spending using Hot Spot Analysis (Tutorial)
- Hot Spot Analysis Tutorial for ArcGIS 10.1 (Tutorial)
- Hot Spot Analysis Tutorial for ArcGIS 10.0 (Tutorial)
- Spatial Pattern Analysis of Dengue Fever (Tutorial)
- Spatial Statistics ModelBuilder Tutorial for ArcGIS 10 (Tutorial)
Model relationships
Explore the question “why?” and make predictions
- Answering WHY Questions, An Introduction to using regression analysis with spatial data (Article)
- Beyond Where: Modeling Spatial Relationships Using Regression Analysis (Video)
- Regression Analysis Basics (Online Documentation)
- What they don’t tell you about regression analysis (Online Documentation)
- Regression Analysis in ArcGIS 10 (Tutorial)
- Regression Analysis in ArcGIS 9.3/9.3.1 (Tutorial)
Space Time Pattern Mining
Identify trends and analyze changes in patterns over time
- Space Time Pattern Mining: A New Frontier in Spatial Analysis live training seminar.
- The Space Time Cube Explorer Add-in for ArcGIS Pro enhances the way you can interact with and explore your space-time cubes with preset symbology, range sliders and time sliders. For Pro 1.3, 1.4 or 1.4.1 For Pro 2.0
- Analyze traffic accident patterns over time (Story Map)
Tips and tricks
Pro tips you should know
- A tutorial covering concepts such as cartographic subjectivity, data suppression (Case Study Tutorial)
- Picking the Right Conceptualization of Spatial Relationships (Online Documentation)
- How Spatial Autocorrelation (Global Moran’s I) Works (Online Documentation)
- How Hot Spot Analysis Works (Online Documentation)
- What is a z-score? What is a p-value? (Online Documentation)
- Finding a Meaningful Model, a checklist to evaluate regression models (Article)
- Tips and Tricks for Finding a Good Model using OLS and GWR (GeoNet Forum)
Putting it all together
Walk through a real analysis from start to finish
- Use Python, R and ArcGIS to model plastic pollution (Video) new
- Combating Homelessness in Los Angeles County (Tutorial) new
- Analyze traffic accident patterns (Story Map)
- A smart site selection scenario using Hot Spot Analysis, Similarity Search and other analytical methods (Tutorial)
- Understanding the geography of online lending (Story Map)
- Investigating disparities in breast cancer rates (Tutorials)
- Applying Spatial Statistics: The Analysis Process in Action (Video)
- Applying GWR in Real Estate Analysis. An example from Marquette, Michigan. (Article)
Articles and blogs
- R-ArcGIS Bridge Meetings the Cloud: Working with Remote Data new
- R Notebooks in ArcGIS Pro for Spatial Data Science new
- Bridging Into New Realms: R-ArcGIS Bridge and Microsoft R new
- Spatial Statistics Provide New Insights in Disease Analysis
- Download Our Chapter in the Handbook of Applied Spatial Analysis here
- An interview on Understanding Spatial Statistics and Geostatistic
Integrating ArcGIS and R
- R-ArcGIS Bridge (install)
- Browse through the R-ArcGIS Community
- R-ArcGIS Bridge Workflow Demo (Video)
- Using R in ArcGIS 10 and 10.1
- Using R in ArcGIS 9.3
Model and script tools
- The Space Time Cube Explorer Add-in for ArcGIS Pro 1.3 and 1.4 enhances the way you can interact with and explore your space-time cubes with preset symbology, range sliders and time sliders.
- Space Time Cube Utilities for ArcGIS Pro, includes tools to visualize the space-time cube in 2D and 3D
- Supplementary Spatial Statistics Toolbox for ArcGIS 10, includes both Exploratory Regression and Incremental Spatial Autocorrelation
- Space Time Pattern Mining toolbox patches for ArcGIS 10.3 and ArcGIS Pro 1.0.
Read more
Our suggested book list
- Mitchell, Andy. The ESRI Guide to GIS Analysis, Volume 2 . ESRI Press, 2005.
- Fotheringham, Stewart A., Chris Brunsdon, and Martin Charlton. Geographically Weighted Regression: the analysis of spatially varying relationships. John Wiley & Sons, 2002.
- David, John C. Statistics and Data Analysis in Geology. John Wiley & Sons, 1973.


DVISELECT(1) DVISELECT(1) NAME dviselect - extract pages from DVI files SYNOPSIS dviselect [ -s ] [ -i infile ] [ -o outfile ] list of pages [ infile [ outfile ] ] DESCRIPTION Dviselect selects pages from a DVI file produced by TeX, creating a new DVI file usable by any of the TeX conversion programs, or even by dvise‐ lect itself. A range is a string of the form even, odd, or first:last where both first and last are optional numeric strings, with negative numbers indicated by a leading underscore character ``_''. If both first and last are omit‐ ted, the colon may also be omitted, or may be replaced with an asterisk ``*''. A page range is a list of ranges separated by periods. A list of pages is described by a set of page ranges separated by commas and/or white space. Dviselect actually looks at the ten count variables that TeX writes; the first of these (\count0) is the page number, with \count1 through \count9 having varied uses depending on which macro packages are in use. (Typi‐ cally \count1 might be a chapter or section number.) A page is included in dviselect's output if all its \count values match any one of the ranges listed on the command line. For example, the command ``dviselect *.1,35:'' might select everything in chapter 1, as well as pages 35 and up. ``dviselect 10:30'' would select pages 10 through 30 (inclusive). ``:43'' means everything up to and including page 43 (including negative- numbered pages). To get all even-numbered pages, use ``even''; to get all odd-numbered pages, use ``odd''. If a Table of Contents has negative page numbers, ``:_1'' will select it. Note that ``*'' must be quoted from the shell; the empty string is more convenient to use, if harder to read. Instead of \count values, dviselect can also select by ``absolute page number'', where the first page is page 1, the second page 2, and so forth. Absolute page numbers are indicated by a leading equal sign ``=''. Ranges of absolute pages are also allowed: ``dviselect =3:7'' will extract the third through seventh pages. Dot separators are not legal in absolute ranges, and there are no negative absolute page num‐ bers. Even/odd specifiers, however, are legal; ``dviselect =even'' selects every other page, starting with the second. More precisely, an asterisk or an empty string implies no limit; an equal sign means absolute page number rather than \counts; a leading colon means everything up to and including the given page; a trailing colon means everything from the given page on; the word ``even'' means only even values shall be accepted; the word ``odd'' means only odd values shall be accepted; and a period indicates that the next \count should be examined. If fewer than 10 ranges are specified, the remaining \counts are left unrestricted (that is, ``1:5'' and ``1:5.*'' are equivalent). A single number n is treated as if it were the range n:n. An arbitrary number of page selectors may be given, separated by commas or whitespace; a page is selected if any of the selectors matches its \counts or abso‐ lute page number. Dviselect normally prints the page numbers of the pages selected; the -s option suppresses this. AUTHOR Chris Torek, University of Maryland SEE ALSO dviconcat(1), latex(1), tex(1) MC-TeX User's Guide The TeXbook BUGS A leading ``-'' ought to be allowed for negative numbers, but it is cur‐ rently used as a synonym for ``:'', for backwards compatibility. Section or subsection selection will sometimes fail, for the DVI file lists only the \count values that were active when the page ended. Clever macro packages can alleviate this by making use of other ``free'' \count registers. Chapters normally begin on new pages, and do not suf‐ fer from this particular problem. The heuristic that decides which arguments are page selectors and which are file names is often wrong. Using shell redirection or the -i and -o options is safest. Dviselect does not adjust the parameters in the postamble; however, since these values are normally used only to size certain structures in the output conversion programs, and the parameters never need to be adjusted upward, this has not proven to be a problem. DVISELECT(1)


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{% extends "volunteers/staff_templates/base_staff_viewTimesheet.html" %} {% load staticfiles %} {% block specificCss %} {% endblock specificCss %} {% block tabcontent %}
Activity done between
and
Activity Type
Credits between
{{ num }} activities found. This is page {{ pageNum }} of {{ allPage }}. Go to page


NextLibraryFunction()
Syntax
Result = NextLibraryFunction()Description
Moves to the next library function in an enumeration started with ExamineLibraryFunctions().
Parameters
None.
Return value
Returns nonzero if the next library function was found and zero if there are no more functions to be examined.
See Also
ExamineLibraryFunctions(), LibraryFunctionName(), LibraryFunctionAddress()
Supported OS
Windows, Linux


{% extends 'files/base_files.html' %} {% block title_files %}Files - Delete {{ active_nav|capfirst}} File{% endblock %} {% block meta_description_files %}Delete a {{ active_nav|capfirst }} file.{% endblock %} {% load files_extras %} {% block styles_files %} {% endblock %} {% block container_files %}
Deleting this file will remove it permanently. This action cannot be undone.
| {{ db_file.uploaded_file.name|basename}} | {{ db_file.uploaded_file.size|filesizeformat }} | {{ db_file.user.username }} | {{ db_file.date|date:'Y.m.d' }} |


What Robert said in September about a possible Luis Enrique return
by BeSoccerOn 3rd September almost 3 months after he was appointed manager, Robert Moreno publically assured that is Luis Enrique wanted to return as manager, he would step down.
"Now there is a very recent situation that must be respected. There are three press conferences that I wouldn't have liked to do. The Malta press conference, my first one as manager and this Monday's one. I consider Luis a friend and he has to be ahead of any project in life. If given the moment he decides that he wants to come back I will be the first, and be delighted, to take a step to the side and work with him again," Robert Moreno said. "Friends are ahead of any project," he added.
At that time, Luis Enrique had lost his daughter Xana is August. In June, he left the role as Spain boss due to her illness and Robert Moreno, with his support, took charge. He was his assistant at Spain and Barcelona.
These words from Robert Moreno, in a way, clash with the reaction of the still-boss when he learned that he would not be staying as Spain manager. He didn't give press conferences after beating Romania, didn't talk to the tv companies, got the news wrong and, according to various sources, feels "betrayed". In the days leading up to the non-renewal of his contract, Robert rated his job as Spain manager a "10/10".
Featured links
- Possible 'Clasico' in the Spanish Supercup final
- The latest football transfers news and rumours
- BREAKING: Luis Enrique returns to Spain national team
- Who has the most free-kicks goals: Messi or Cristiano?
Beyond the forms of the Real Federación Española (RFEF) and Luis Rubiales, Robert's statements two and a half months ago make him a prisoner of the newspapers and put him in the firing range as he achieved his target of making Euro 2020.


In first since 2002, EU not forcing any states to cut debt
by The Associated PressBRUSSELS (AP) — For the first time since 2002, the European Commission is not taking legal action against any of its members over high budget deficits or debt, and is instead encouraging some to spend more to help the economy.
The EU’s executive arm said Wednesday that eight countries were at risk of significantly falling short of the bloc’s aim for a deficit below 3% of GDP and debt approaching 60%.
They include Spain, France, Belgium and Italy, which it said have not sufficiently used good economic times to repair their public finances.
“This is worrying because very high debt levels limit the capacity to respond to economic shocks and market pressures,” said Valdis Dombrovskis, the commission vice president.
However, the commission isn’t taking legal action to push any countries to tighten finances. It most recently did that against Italy, whose last government had increased spending sharply despite its huge debts.
The commission encouraged countries with strong finances, particularly Germany and the Netherlands, to spend more. With growth slowing, experts say governments need to investment more.
The European Central Bank has pressed that point repeatedly. It unveiled a new stimulus package in September but says it can only do so much to help the economy and needs governments to help as well.
The Associated Press


Project: Stylometry Part 1
I’ve decided to look into natural language parsing, since I’ve always been interested in it. Have you seen cleverbot? It’s pretty cool. Anyway.. I managed to install TextBlob which is a natural language processor and went out and looked for cool things to start off making. I found this and decided to make a program that compares two texts to see if it can figure out if they have the same author.
So, I looked into this field and it turns out that it’s called stylometry. I further found out about writer invariant and apparently it’s a property that each author has. It’s not agreed what this property is exactly but apparently “function words” are promising because they are used unconsciously. I then found this article which expanded on it.
The function words used in that article are: a, all, also, an, and, any, are, as, at, be, been, but, by, can, do, down, even, every, for, from, had, has, have, her, his, if, in, into, is, it, its, may, more, must, my, no, not, now, of, on, one, only, or, our, should, so, some, such, than, that, the, their, then, there, things, this, to, up, upon, was, were, what, when, which, who, will, with, would, your.
Looking at this document, I realised that these words weren’t really all of the same category. Hence I needed to know what their “corresponding tags” actually were. So:
It produced:
MD 6
VB 1
WRB 1
JJ 1
VBD 3
CC 3
WP 2
VBN 1
JJR 1
TO 1
CD 1
VBP 3
WDT 1
PRP 1
RB 8
IN 15
VBZ 2
DT 9
PRP$ 7
NNS 1
EX 1
Therefore, I decided, instead of using all the categories, to look only for IN, DT, PRP$ and MD. These are Preposition or subordinating conjunction, Determiner, Possessive Pronoun, and Modal Verbs respectively.
I started out focusing on just one text, Oliver Twist by Charles Dickens, available free online. I also focused on getting the INs from the text and getting a set of words.
That worked, way faster than I thought it would (considering the novels ~170,000 words). So I decided to expand it and get it working with Great Expectations, also by Charles Dickens.
This is the complete code, and gives a result of an average percentage difference of 68.1%:
I still haven’t tested out the cut-off limit for different authors. So I guess I’ll try it out tomorrow. Can’t wait, that was pretty fun and satisfying to make!


You will be given a random number at the start of the game.
 By clicking on a ball you will add an specific amount of goals to your score.
You win the game by matching your total score with goal number.


Deuteronomy 7:17
If thou shalt say in thine heart, These nations are more than I; how can I dispossess them?


Appliance Inference
Draft created 2 August 2010 by Trystan Lea
The idea
This page details an ongoing investigation into the possibility of inferring what appliances are on and how much energy they use (especially their kwh per day usage) from one measurement point at the supply to the house/building. If this can be done effectively it would be a much cheaper and less intrusive way to find out such information than placing a separate meter on each appliance.
Measuring changes in power consumption and power factor
A 40W incandescent light bulb should be distinguishable because it would cause a power consumption change of ~ 40W of power, it is a resistive load so its effect on power factor should be either no change or positive change (depending on overall electricity use magnitude and power factor).
A 3kW immersion heater should be distinguishable because it would cause a power consumption change of ~ 3000W of power, it is a resistive load so its effect on power factor should be either no change or positive change (depending on overall electricity use magnitude and power factor).
My refrigerator uses 142W when it starts, then gradually drops to 105W.
The washing machine has a heating element that uses ~2kW for a couple of minutes, and a spin cycle that is highly reactive causing power factor changes of approximately ±0.45
By building up a profile of the types of power consumption and power factor changes that happen in a building, it may be possible to make a rough breakdown of energy used by the different appliances.
Attempted solution 1
Example of it running here
This is both a description of the solution as it currently stands, and a how-to-set-it-up guide. There are still lots of errors and lots of work to do!
1) Set up a database on a server to log events with the following columns: timestamp (TIME), real power change (RP), power factor change (PF), current real power (CRP).
2) Create a script to relay this data from an Arduino GET request, to the database. Place the script on the server.
Download the php script: emonphp.tar.gz
3) Get the energy monitoring hardware to send this GET request to the server (minus timestamp which is generated in the script)
Download the ethernet arduino sketch: inferSketch.tar.gz
Download EmonEvent Library (detects step changes in a value): EmonEvent.tar.gz
4) Create a table that stores event types.
5) Create a php script that:
- selects both the data in the event type table and the event log table
- checks the event log data for events of the type described in the event type table.
- calculates how much energy each appliance (event type) has consumed.
- outputs this information in a useful way.
Download the event analysis php scripts: appInfer.tar.gz
Download the page theme files: theme.zip
ToDo
- Add password security to emonphp relay script.
- Get the chart to show only kwh of appliances > 0 kwh
- Work on layout
- Add a check that turns off appliances if the calculated power is larger than the actual power. At the moment, the inference code often thinks there are more appliances powered on, than actually are. Especially 40W light bulbs!
- this is by no means a finished list.


Predict Image Labels
Select a Model to use
General Image Classification Model
Scene Image Model
Food Image Model
Multi-Label Image Model
Label Images


Type something to see the output
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Disease Results
Table of Disease You have Selected
Below is the list of disease and your likelyhood for developing said disease.
Disease Name
Likelyhood


Johanna Höysniemi, Janet Read
Janet Read is out of UCLAN! Should probably follow up to see if there's a collaboration to be had, there.
"This paper provides an overview of the literature pertaining to Wizard of Ox studies with children participants. It presents a new taxonomy for Wizard of Oz evaluations and...a presents a discussion of several ethical and organizational concerns with Wizard of Oz as a method for use with child participants."
"In a traditional Wizard of Oz experiment...there is a human wizard who manipulates the interface independently of the subject of the experiment


{% set suppress_feedback = true %} {% extends '_layouts/layout.html' %} {% block page_title %} {% endblock %} {% block body_css_classes %}nhsuk-frontend{% endblock %} {% block content %}
You don’t need urgent help, but a nurse would like to give you a call to make sure you’re ok.
When you book a call the nurse will:
You should get a call within 24 hours.


Learning D3.js - The basics
D3.js Sortable & Responsive Table (Demo: http://bl.ocks.org/AMDS/4a61497182b8fcb05906)
Click the table header to sort data according to that column


Thank you for spending the last weekend of spring break @swhacks! We were very excited to see all of you try to participate and build something cool! Even if you did not have a final product by the end of the hackathon, it doesn't matter. What matters is what you have learned, and how much you have grown in the last 36 hours. Don't get discouraged if you didn't do as well as you wished.
© The Software Developers Association 2016-2017


Package com.google.zxing.client.j2se
package com.google.zxing.client.j2se
-
ClassDescriptionThis LuminanceSource implementation is meant for J2SE clients and our blackbox unit tests.Command line utility for encoding barcodes.This simple command line utility decodes files, directories of files, or URIs which are passed as arguments.Simple GUI frontend to the library.Deprecated.without replacement since 3.4.2Encapsulates reading URIs as images.Encapsulates custom configuration used in methods of
MatrixToImageWriter
.Writes aBitMatrix
toBufferedImage
, file or stream.Deprecated.without replacement since 3.4.2


Genesis 36:12
And Timna was concubine to Eliphaz Esau's son; and she bare to Eliphaz Amalek: these were the sons of Adah Esau's wife.


IAM Instance Profile ARN e.g. arn:aws:iam::000000000000:instance-profile/SampleName.
An instance profile is a container for a role. To associate a role to an Amazon EC2 instance, you must use the instance profile ARN. Roles enable you to manage permissions for applications running on EC2.
The Instance Profile ARN can be found in the IAM Role's Summary tab in the AWS Management Console.


Figures should in particular be included to examples to discuss the problems and results of the respective model. The library developers are yet encouraged to add figures to the documentation of other components to support the understanding of the users of the library.
src
and an alt
attribute defined to be
HTML compliant.PNG
files should be placed in a folder which
exactly represents the package structure.
This example shows how an illustration should be embedded in the Example PID_Controller of the Blocks package.

This is a simple example of a technical figure with caption.

Caption starts with a capital letter

To refer to a certain figure, a figure number may be added. In
such case the figure name (Fig.) including the figure enumeration
(1,2,...) have to be displayed bold using

and
.
The figure name and enumeration should look like this: Fig. 1:
Figures have to be enumerated manually.

Fig. 2: Caption starts with a capital letter


Expected behavior: with JAWS or NVDA running, navigate using virtual cursor or by heading elements. When encountering "The test, heading level 2" press the Tab key.
Focus should move to the "Banana" tab
, as it has a tabindex=0
while the "Apple" tab
has a tabindex=-1
.
Actual behavior: keyboard focus is not set to "Banana" and is instead set to "Apple" even though it has a negative tabindex
.
this a focusable element for testing.
You can check out the tablist
code...
<div role="tablist">
<button tabindex="-1" role="tab">Apple</button>
<button tabindex="0" role="tab" aria-selected="true">Banana</button>
<button tabindex="-1" role="tab">Orange</button>
</div>


Chapter 5 Being an effective ICBT therapist
Being a therapist in internet-based CBT (ICBT) differs in several ways from regular face-to-face treatment. The first difference is the mode of communication: asynchronous text messages rather than live face-to-face talking. The second is that therapists are more closely integrated in the treatment content, and will rely more heavily on the written material. Third, there is less therapist oversight during active ERP exercises. We will discuss these implications below.
5.1 Keep your messages short
Messages should be concise and to the point but still using a personal touch. The main aim is to provide encouragement and reinforce key behaviours in the treatment, such as registrations in the OCD/BDD diary and performing ERP exercises.
There are some exceptions to this rule. Therapists are advised to write longer messages when needed: to highlight examples in the diary that are informative and relate these to the CBT model of OCD/BDD, or to provide encouragement by linking ERP exercises to a patient’s long-term goals and values.
5.2 Write often
Frequent communication is particularly useful at the start of treatment and when patients are in the startup phase of ERP. In many ways, ICBT may be an even more intensive treatment than traditional face-to-face CBT for patients. Our standard procedure is to contact patients at least twice weekly, but more often when needed. For example, therapists may confirm an exposure exercise in the morning and check in during the afternoon for a follow-up.
There are exceptions to the rule of frequent messages: some patients will prefer to do ERP exercises on their own and will not have many questions. This is perfectly fine; some patients benefit greatly from the ICBT treatment without the therapist support.
5.3 Therapists and the rest of the content in ICBT
As previously mentioned, ICBT is in many ways a high intensity treatment. Patients not only respond to messages but also read module texts, answer homework questions and questionnaires, and fill in worksheets. The treatment becomes particularly intensive once patients start performing daily ERP exercises. Thus, what might feel like a low-intensity treatment from the therapist perspective is actually be very intensive for patients.
Therapists should keep in mind that patients do many other things besides writing and responding to messages. Corrective feedback is sometimes necessary in order to design, do, and evaluate effective ERP exercises. We recommend that therapists are generally restrictive about corrective feedback when it is not clearly needed for ERP, but therapists should use their clinical judgment in these situations.
5.4 Promoting hands-on ERP exercises
With the restrictions on therapist input in ICBT, what therapists attend to in messages signal what patients are expected to work on during treatment. A typical message from a patient mid-treatment might include a summary of their latest ERP exercise, comments about what they have found challenging, and a couple of questions about the treatment content. It is very tempting to try to answer the questions and make suggestions for how to deal with the challenges in the response, but that could shift attention away from doing ERP exercises. Rather, we want to encourage the patient to continue doing ERP because that is the key behaviour for them to get better in the long-term.
Therapists should therefore strive to balance feedback to aid understanding with actionable advice that patients can put into practice. For example, a lack of clarity in an ERP exercise or choosing the wrong ERP exercise could result in the patient getting stuck and asking questions. A therapist could then address both the uncertainties and promote behaviour change through ERP by suggesting a variation of the ERP exercise or suggesting a new one that is better suited for the situation. This is likely to be a more effective strategy compared to just addressing the questions one by one without linking them to ERP exercises or behaviour change.
5.5 Lack of therapist-guided exposure exercises
We do not have the privilege of guiding patients through ERP exercises in ICBT. This means that therapists will have to focus on the essentials when giving corrective feedback to patients. Correcting every little detail before each exercise will in this context probably be counter-productive and might in fact confuse the patient. Instead, our focus is to get patients going with the ERP exercises. Wrinkles can be ironed out along the way.
5.6 Dealing with patients with low engagement
The best way to deal with low engagement is to prevent it from happening to begin with. Strategies to prevent low engagement include:
- Writing frequently (especially in the beginning of treatment in order to keep up momentum)
- Focusing on encouragement in written messages
- Promptly calling patients that do not respond to messages
- Providing support and help to patients that struggle with ERP exercises
If a patient becomes less active on the treatment platform, it does not necessarily mean that they have stopped working with the treatment or have given up on the treatment. Some inactive patients are doing a lot of treatment work in their daily life but do not report this spontaneously to their therapist.
5.6.1 Strategies when patients express lack of time to work on the treatment
One common reason for low engagement is that the patient struggles to find the time to work on ICBT. We recommend that therapists encourage any small steps the patient takes and that they prioritise ERP exercises away from the computer over reading additional modules.
If a patient is completely unable to work on the treatment right now, ask him/her if it possible to delay the start of treatment. The absolute majority of patients responding to OCD-NET and BDD-NET experience this gain within the first 5 weeks after starting treatment. Thus, even if the patient is delayed and start the treatment at week 5, it is still possible to achieve a significant improvement given that the patient works with the treatment intensively.
5.6.2 Strategies when patients express skepticism about ICBT
Some patients may be skeptical about ICBT in general or in their ability to complete a remote treatment without face-to-face support from a therapist. We recommend that therapists validate and acknowledge that these concerns are common early in treatment and, importantly, help skeptical patients experience early wins by starting with swift and easy ERP exercises.
It is important to stress that OCD-NET and BDD-NET have never been designed as full alternatives to face-to-face CBT but should instead be seen as a complementary approach. Patients who are skeptical about ICBT from the beginning will probably not benefit from this treatment modality. Alternative formats and treatments are probably a more feasible option in these cases.


We sell infrastructure!
- leverage killer e-markets
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- utilize front-end infrastructures
- transform extensible channels
- innovate user-centric e-services
- leverage granular mindshare
- streamline open-source architectures
- transition extensible web services
- redefine rich technologies
- harness proactive relationships


“If the automobile had followed the same development cycle as the computer, a Rolls-Royce would today cost $100, get a million miles per gallon, and explode once a year, killing everyone inside.”
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Dave Barry
“Computers are getting smarter all the time. Scientists tell us that soon they will be able to talk to us. (And by ‘they’, I mean ‘computers’. I doubt scientists will ever be able to talk to us.)”
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Larry DeLuca
“I’ve noticed lately that the paranoid fear of computers becoming intelligent and taking over the world has almost entirely disappeared from the common culture. Near as I can tell, this coincides with the release of MS-DOS.”p>
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CEdsger W. Dijkstra
“It’s ridiculous to live 100 years and only be able to remember 30 million bytes. You know, less than a compact disc. The human condition is really becoming more obsolete every minute.”
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Alan Kay
“Most software today is very much like an Egyptian pyramid with millions of bricks piled on top of each other, with no structural integrity, but just done by brute force and thousands of slaves.”
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jeremy S. Anderson
“There are two major products that come out of Berkeley: LSD and UNIX. We don’t believe this to be a coincidence.”
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Dave Barry
“Microsoft has a new version out, Windows XP, which according to everybody is the ‘most reliable Windows ever.‘ To me, this is like saying that asparagus is ‘the most articulate vegetable ever.‘ “
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Henry Petroski
“The most amazing achievement of the computer software industry is its continuing cancellation of the steady and staggering gains made by the computer hardware industry.”
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Timm Martin
“It has been said that the great scientific disciplines are examples of giants standing on the shoulders of other giants. It has also been said that the software industry is an example of midgets standing on the toes of other midgets.”


Contact: B. Wyman Reviewers: Change history: WebCVS Log for bgrid_masks.f90
Provides a data structure for three-dimensional masks used to define the step-mountain/eta coordinate topography.
bgrid_horiz_mod bgrid_vert_mod bgrid_halo_mod fms_mod mpp_mod
use bgrid_masks_mod [, only: grid_mask_type, mask_type, grid_masks_init ] grid_mask_type, mask_type Data structures that contain the 3d step-mountain topography masks and 2d indexing for the lowest model level. grid_masks_init Initializes data with the grid_mask_type.
type grid_mask_type type(mask_type) :: Tmp, Vel logical :: sigma Tmp = grid masking values for the temperature/mass grid Vel = grid masking values for the velocity/momentum grid sigma = logical flag that specific whether vertical coordinate is the step-mountain (eta) or sigma coordinate type mask_type real, pointer, dimension(:,:,:) :: mask integer, pointer, dimension(:,:) :: kbot integer :: kbotmin mask = step-mountain topography mask (0.0 or 1.0) mask = 0. for grid boxes that form the step-mountain mask = 1. for grid boxes above ground kbot = index of the model level closest to the bottom boundary (i.e., the planet's surface) kbotmin = smallest value of kbot across all processors NOTE: For the sigma coordinate, mask = 1.0 everywhere, and kbot = number of vertical model levels.
call grid_masks_init ( Hgrid, Vgrid, res, Masks ) INPUT Vgrid Data structure that contains vertical grid constants. Returned by a previous call to vert_grid_init. [type(vert_grid_type)] res Reciprocal of eta at the surface (i.e., the model interface that coincides with the step-mountain height). Note: for sigma coordinate model res=1. everywhere. [real, dimension(:,:)] INPUT/OUTPUT Hgrid Data structure that contains horizontal grid constants. Returned by a previous call to horiz_grid_init. [type(horiz_grid_type)] Masks Data structure containing grid masking arrays. [type(grid_mask_type)]
There are no error messages printed by this module.
None.
The interface grid_masks_init prints a message to STDOUT that describes the type of vertical coordinate that was initialized. If the eta coordinate is detected, a note of caution is printed. The eta coordinate is currently not supported. These messages are probably more appropiately printed from module bgrid_vert_mod (maybe in a future version).
None.


Cultural Blog: Gregoric Thinking Style
Based on the Gregoric Thinking Style test that I took prior to the start of Phase 0, my thinking style score was tied between abstract sequential and concrete sequential with the other two thinking styles only a few points behind. The score was based on a list of adjectives that you were supposed to choose from to best describe yourself. Personally, I thought the test was pretty subjective, given that A) choosing words to describe yourself has more to do with self-perception than with actual cognitive patterns that a person exhibits, and B) a lot of the listed words were not mutually exclusive (choose between "imaginative" and "responsible"? What if it's both?) Like I said, not a particularly objective test.
So I took the results of that test with a grain of salt. Nonetheless, I have come to observe a number of different things about my learning and thinking styles over the course my life and especially within the last few weeks. It's funny, I always thought I was a linear thinker. I thought that I like to have things presented piece by piece. That sounds like "sequential" thinking, right? But I've learned from pairing with others that "linear" may still be too strong of a word to describe how I think.
Here's what I am learning about how I think: I've always known I want to see the "big picture" first, or else the rest won't make much sense to me. On the other hand, I sometimes can't see the big picture without understand the small details. It sort of seems like others are better at seeing just one star, and I want to see the whole constellation. (That might be a terrible analogy because it would be pretty difficult to learn constellations based on the locations of individual stars first.) That's how lost I can feel sometimes when I'm learning something new.
An example of this what when we were beginning to learn some Javascript concepts this week. In order to really get an understanding, I had to actually write some Javascript code in its actual context, interacting with HTML and CSS. Now it makes more sense to me than when it was just the theoretical "this.moveRight" exercises we were initially doing. I am definitely a heavily kinesthetic and visual learner, so doing something hands-on and then getting the visual feedback from my work (like how the web page appears) makes a lot of sense to me.
My biggest learning challenge with Phase 0 is reading new material. I think some people are surprised by my difficulty with reading because of my general ability to write and do well in school, but it has always been hard for me. Somehow even reading the instructions for the challenges can feel like I'm reading complete gibberish and processing none of it. But here are a few things I have come up with to accommodate this difficulty:
- For each challenge, make more concise lists for myself of what I need to do (what I need to actually turn it, what to call the necessary files, or what resources to navigate to).
- Try to turn off the voice in my head that's like, "You're doing it wrong." That voice makes everything take way longer. The truth is, there probably are some parts of all of this that I'm doing wrong. But I know that I'm trying really hard. And my goal is to learn as much as I can, not to make my work 100% error-free.
- Come up with questions before doing challenges with peers. Make sure I understand the expectations of the challenge, get a general concept of what needs to be done and how I might work on it with another person.
I'm trying to have the "growth mindset" rather than the "fixed mindset". I'm already seeing how I've been trying to adapt in a few weeks in order to get everything done. Part of that comes down to accepting that information will not always be presented to me in ways that are easy for me to pick up. But that's okay. There are so many available resources. The great think about coding is that there are a ton of people on the Internet who want to share their knowledge about it! I start out with the resources from DBC, and when something doesn't make sense, I look it up through this magic genie wizard machine called Google.
I'm still hoping to expand my learning and thinking styles beyond their current scope. Peer pairing helps with that, because I see how other people process information and proceed with the challenge. They don't always get things right, which is great news! I like seeing how other people take risks, get things wrong, and come out with more knowledge because they trusted that the gaps would be filled in and their misconceptions would later be corrected. That's probably the biggest way I need to expand. I think adopting that sort of mindset would not only subdue some of my current fears, but would ultimately also help me to make progress with learning in new ways.


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{{localize "TOKEN.ImageInstructions"}}
{{localize "TOKEN.PositionInstructions"}}
{{localize "TOKEN.VisionInstructions"}}
{{localize "TOKEN.ResourceInstructions"}}
The resource bars for this token have been hard-coded to correspond to the character's Might, Speed, and Intellect. Please forward all hatemail to Bartlander#3675 on Discord.


{include file="public/head" /}
工学部综合系统-综合测评
{include file="public/nav_login" /}
综合测评
Comprehensive evaluation
综测
CE
{include file="public/foot" /}


Next: Signaling and Handling Conditions, Previous: Creating Conditions, Up: Condition System Concepts
If the :report argument to define-condition is used, a print function is defined that is called whenever the defined condition is printed while the value of *print-escape* is false. This function is called the condition reporter ; the text which it outputs is called a report message .
When a condition is printed and *print-escape* is false, the condition reporter for the condition is invoked. Conditions are printed automatically by functions such as invoke-debugger, break, and warn.
When *print-escape* is true, the object should print in an abbreviated fashion according to the style of the implementation (e.g., by print-unreadable-object). It is not required that a condition can be recreated by reading its printed representation.
No function is provided for directly accessing or invoking condition reporters.


Deploy Custom PyTorch Model on Mobile App with PlayTorch
In this blog, I am going to show how to deploy a PyTorch Custom model on the Mobile Devices(iOS/android) with help of ecosystem of PlayTorch and Sanck Expo. This can be a very quick way of prototyping a mobile application for the demo purposes. It can be used later for going in production as well.
I am going to build a car view calssification model for this blog which will infer if the picture taken of the car is - Front View, Front Left view or Front Right view. The outcome will be something like this image.
Project GitHub Link: https://github.com/shashank2806/playtorch-demo
This Blog is is divided in 5 parts:
- Creating custom PyTorch Model
- Optimizing the model for Mobile Devices.
- Getting started with PlayTorch and Sanck Expo.
- Integrating the model in React Native.
- Testing the Model in Mobile Device.
Prerequisites: 1. Basic knowledge of model training in PyTorch.
Step 1 : Creating custom PyTorch Model.
If you already have a trainied classification model, you can skip this step. I am going to train a model for car view classification. For this I will scapre the data from the internet, around 80 images of each class. I will train a MobileNet model. Refer to GitHub Repository for Training Notebook and Training Images.
Dataset
As mentioned earlier. I have used internet to scrape the data. I used CygnusX1 for downloading the dataset from the google. In the dataset I kept
217
images in training and21
images in validation. Clasess arecar_front_view
,car_front_left_view
,car_front_right_view
.Model Training
As I am creating this model from scratch. I am going to train it on
MobileNet_v3
Architecture. If you have a model trained onResNet
or other architecture, that is fine too. After training for 25 epochs, it achieved accuracy of ~90%. test the model on few images and save it.'view_model_mobile.pt') torch.save(model_ft,
Step 2 : Optimizing the model for Mobile Devices.
After the model is trainied, one essential step before model can be used in iOS/Android apps is to convert the Python-dependent model to TrochScript, which can then further be optimized for mobile apps. Conversion to TorchScript can be as simple as a single call, or as complicated as changing the original model in many different places.
In our case we can just convert it with a single call. For complex model refer this Pytorch doc
Load the model saved in last step. Convert the model model to TorchScipt and then optimize it for mobile device with just few lines of code.
import torch
import torchvision
from torch.utils.mobile_optimizer import optimize_for_mobile
= torch.load('view_model_mobile.pt')
model eval()
model.= torch.rand(1, 3, 224, 224)
example = torch.jit.script(model, example)
scripted_model = optimize_for_mobile(scripted_model)
optimized_model "view_model_mobile.ptl") optimized_model._save_for_lite_interpreter(
Now the model is optimized for mobile devices. It is saved as view_model_mobile.ptl
. This is the model we will be using for inference on Mobile device.
Now we are ready for the next step - Creating the App.
Step 3: Getting started with PlayTorch and Sanck Expo
PlayTorch is Framework for rapidly creating mobile AI Apps. It has a React Native Package to run on-device inference. There are multiple App templates and we just need to replace the model weights and metadata to tailor app to our needs
To get started with PlayTorch. Download the PlayTorch App and go through this simple get-started guide. Create your Hello World App. It will not take maore than 10 minutes!
PlayTorch uses Sanck Expo for code development. Snack Expo is a Cloud IDE for developing React Native Apps. It saves us from hassle of setting up the development environment on our on machine. It also saves us form the hassle of paring of the Andriod device for development. You can just san a QR Code on the IDE and run the code in the PlayTorch App. The development experience is very hassle-free. You save a lot of time. This is what is like about PlayTorch - comparing to other methods(Java)
I hope you guys now have fimiliarity with PlayTorch and Snack Expo and you have created you Hello World! App. Let’s move forward.
Step 4: Integrating the model in React Native.
We have the Model ready. We now also understand the PlayTorch Ecosystem. Let’s integarte our trainied model to React Code on Sanck Expo.
Link to my final code: https://github.com/shashank2806/playtorch-demo/tree/master/car-view-react-app
Folder strucure React Native Code:
1. `App.js`: Main file for importing other modules and files, Script for app layout, camera and style is present here.
2. `imageClassifier.js`: Model loading and images transforms/preprocessing are presnet here.
3. `ImageNetClasses.json`: Your output lables are listed here.
4. `package.json`: Contains required packages.
You need to change MODEL_URL
in imageClassifier.js
. Put the url to your tarined model.
// 3. URL to the image classification model.
const MODEL_URL = 'https://github.com/shashank2806/playtorch-demo/raw/master/view_model_mobile.ptl';
You also need to change the ImageNetClasses.json
. Put your lables here, In my case it were.
["car_front_left_view",
"car_front_right_view",
"car_front_view"
]
If you have done all this steps correctly, you should now see a working demo on your mobile device.
Step 5: Testing the Model in Mobile Device.
Now you can test demo with on your mobile device. Share it with others as well. You can view my demo with this URL https://playtorch.dev/snack/@shashank2806/car-view.
I tested it on my Mobile. Even though the dataset it was trained on was Artifical. It is working very accurate on real-world images as well.


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Kalamata Olives
The King of all Mediterranean olives and the Classic Olive for an authentic Greek salad! Almond shaped with a sharp point, like a comma, this olive grows exclusively in Greece
(all others are cheap imitations) and the main producing area is the
Peloponnese peninsula. Kalamata Olives can be seen in a lustrous eggplant
color, or in dark black, or even in brown, depending on the growing region.
Picked ripe and steeped in red wine vinegar brine, they are rich and firm, with a smoky, wine infused snap. Unmistakably the best olive in the World!
blah blah
Kalamata olives stuffed
with Blue Cheese
Our premium quality Green Halkidiki Olives now hand-stuffed with creamy blue cheese. A full flavored product that will satisfy even the most demanding olive & cheese lovers. They consist an extremely tasty, interesting and tantalizing snack. Try it and you will get thrilled.
Ingredients
Halkidiki Green Olives, Sunflower Oil, Blue Cheese (Cow Milk, Cheese Culture, Animal Rennet, Sea Salt, P. Roquefort), Cream Cheese (Skimmed Milk Cream, Sea Salt, Lactic Acid), Xanthan Gum, Locust Bean Gum, Sea Salt, Citric Acid.
Available in Retail & Food Service Packaging
Retail
Item nr - 32568
Glass Jar
Net Wt 300g
Food Service
Item nr - 32568
Vacuum Bag
Net Wt 2kg