Why 'data mince'? Lucy explains:
"A long time ago, my brother went off to university and started learning to shop,
cook and stay alive on a student's budget. He found out that pretty quickly
he fell into a pattern; after a long day of lectures and coursework and
assignments he would realise it was time to cook dinner. He'd chop an onion
and start frying it, add some cheap beef mince to the pan ... and then realise
he hadn't decided what he was actually going to cook. Chilli? Spag bol? Maybe go all
out and make cottage pie? His basic fried-mince-and-onion was just the
starting point.
What we found when we started working on projects for different clients, no
matter how sophisticated the toolset or how complex the problem, was that we
almost always needed to start with the same initial collection of demographic
data; population, income, deprivation, working patterns and so on. This is
what we call our 'data mince'."
Working in the data science field in the middle of a global pandemic, there
are many opportunties to start building tracking dashboards and viral
infection models. But there are enough of those already, so we're focusing on
how we can provide something useful to anyone trying to manage service demand or
community responses to the current crisis.
We'll update this periodically as we find new and useful things to add to it,
but for now here are the basics:
- population,
- deprivation
- economic activity.
All of the data we use here is published under the Open Government Licence as open data.
We always find it useful to look at the distribution of ages
rather than the absolute values; the shape of a place's age
profile tells you a lot when you compare it to the wider
area. For example, Exeter and Plymouth stand out in this chart
because of the much higher numbers of resident young people
due to the universities. Torbay on the other hand has a profile skewed
towards the older age ranges, as many people retire to the area.
Use the dropdown to select different Devon districts.
Source: ONS population estimates.
If we were looking at something like vulnerability profiles, then both groups would be of interest. Outbreaks like the coronavirus are particularly concerning for the elderly and anyone with an underlying health condition, but young people are by no means immune. In fact a university environment can carry extra risks, e.g. dorms, house shares, group tutorials and lectures in spaces that see a lot of use.
Health isn't the only vulnerability factor; for many people self-employment,
freelance and contracting work and zero-hours contracts have become a standard
part of their income generation. To take a look at the potential numbers of
people affected we can use the ONS Annual Labour Survey data - latest is for
the year from October 2018 to September 2019.
Source: ONS UK Business Counts
These charts show two different attributes of the UK Business Counts data; the breakdown by legal status, which gives us the proportion of sole traders in a district, and the size band by number of employees so we can see where there's a high proprotion of businesses with, for example, fewer than 5 people working there.
Income and employment are far from the only measure of wellbeing - although they certainly make a
difference. The Indices of Multiple Deprivation (IMD) are updated every few
years and cover a wider range of measures including environment, barriers to
opportunity, health and crime.
The top-level index of deprivation is calculated from a combination of the
contributing indices, and assigns every small area (LSOA or Lower-level
Super Output Area) in England a score based on how deprived the model says
the area is in comparison to all the others. With all the LSOAs ranked in order,
each one is then assigned to a decile with a numeric score from 1 to 10.
Any LSOA with a decile score of 1 is therefore in the top 10% most deprived
nationally; and the higher the decile score, the less deprived.
This chart looks at how many LSOAs per district fall into which deciles, so we can see
that the more urban areas like Torbay and Plymouth have a far greater
proportion of LSOAs with lower decile scores.
Source: UK Government - MHCLG
Further reading


Welcome to Animal's World x
In this game you will see four pictures, one of them is a correct answer depending on the catogary
that
show on the screen. Once you choose a picture the pictures and the wanted catogary will change
randomly.
Good Luck


Led by Principal Investigator, Professor Michael Butler, the Holistic Design of Secure Systems on Capability Hardware (HD-Sec) project will receive funding as part of a £10M investment in nine projects by the UK government through its ‘Digital Security by Design’ (DSbD) programme to support the DSbD ecosystem. The funding is managed by the Engineering and Physical Sciences Research Council (EPSRC).
Our vision is the transformation of security system development from an error-prone, iterative build-test-fix approach to a correctness-by-construction (CxC) approach whereby formal methods guide the design of software in such a way that it satisfies its specification by construction. The impact of this will be to reduce overall development costs, while increasing trustworthiness, of security-critical systems.
The HD-Sec project objectives can be summarised
The success of HD-Sec can be measured by how well we deliver the key outcomes:
To achieve our objectives, our work programme will consist of five workpackages WP1-WP5. The case studies of WP1 will help us identify more clearly the engineering challenges in designing and verifying secure systems, guiding the research of WP2-WP4 on modelling and analysis of requirements, trusted data and trusted memory operations respectively. The research of WP2-WP4 will in turn define requirements on the enhanced toolchain developed in WP5. We close the loop by validating the CxC toolchain to implement the case studies on capability hardware in WP1. The diagrammatic workplan (provided separately) shows the coordination of the various workpackage tasks including the phasing of the tasks, where a first phase develops initial results and a second phase develops enhanced results taking account of feedback from case studies.


Pay by Direct Debit Prototype
Direct Debits Journeys
Don't use any of this prototype code on production services, it doesn't adhere to development standards and is hacked together quickly and roughly.
August 2019 |
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January 2019 |
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Secure PCN ref. verification |
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Direct Debit - Check your answers |
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Direct Debit options breakdown |
||
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Direct Debits guidance page |
||
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PCN views |
December 2018 |
|---|
|
Check Your Answers pages |
January 2022
- 2 nd line address journey 1
- Option 1 Second line address data is provided so user can go through journey withough having to fill in 2nd line (unless data is incorrect)
- Option 2 Fill in second line address to avoid KYC fail
-
Data from Dentists does not provide second line adress causing customers to fail first KYC check


Student
Pursuing a career in Software Development through the New Jersey Institute of Technology.
My name is Justin and I am currently pursuing a Graduate certificate in Data mining. I have an undergraduate in Music Education but have been studying computer science on my own, mostly focusing on Full Stack. I am working towards my Masters of Computer Science.
Student
Master of Information Systems student at New Jersey Institute of Technology
My name is Nikolett. This is my first semester here at NJIT. I graduated from Budapest Business School in Hungary as an economist majored in retail. I have worked mostly at smaller retail companies so far, but I have always been fascinated by computer science since my childhood. Finally, I have decided to pursue a career in IT. In the last two years I got some experience in Python and front-end web development. I like taking long walks, especially strolling on the city streets in the early morning hours or in rainy weather. Besides this, I love drawing, listening to podcasts, doing yoga, reading comics about everyday life...oh, and playing video games.


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{% extends "layout.html" %} {% block page_title %} Home Office - Visa and Immigration {% endblock %} {% block content %} {% include "includes/phase_banner_alpha.html" %} {% include "includes/outgoing-header.html" %} CID ID: 1253874 Name Ayo Zan Zheng Passport number L898902C Status Consideration (GCS6) Email<EMAIL_ADDRESS>Search again {% endblock %}


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Massachusetts House passes flavored tobacco ban, vaping tax
BOSTON (AP) - Massachusetts House lawmakers have approved a bill that would ban the sale of all flavored tobacco products while also imposing a new 75% excise tax on nicotine vaping products.
The ban would apply to menthol cigarettes - a decision that has rankled some convenience store owners.
Under the proposal, commercial health insurers and MassHealth would also be required to cover tobacco cessation counseling and all nicotine replacement therapies. Generic versions would be offered without cost-sharing to the consumer.
Supporters of the bill say their goal is to protect young people from the harmful effects of tobacco.
Anti-smoking activists were quick to praise lawmakers for approving the bill, which passed Wednesday on a 126-31 vote.
In Massachusetts, 9,300 adults die annually from smoking.
The bill now heads to the Senate.
Sign up for Daily Newsletters
Copyright © 2019 The Washington Times, LLC.
Please read our comment policy before commenting.


Modules documentation¶
AllMine is developed in a modular fashion. Current AllMine modules are documented here. Some of them include tweakable parameters ! Only key steps modules are documented here.
fastp; reads presprocessing¶
AllMine uses fastp v0.20.0 to perform presprocessing on submited reads. Two modules, fastp_pe and fastp_se have been implemented to handle paired end and single end reads respectively.
Parameters :
--correction
: Enable paired end overlaping regions correction.
--cut_mean_quality
: Set to 20. Threshold for trimming in both 5’ and 3’. You can increase this number for a more stringeant quality trimming.
--cut_window_size
: Size of the sliding window for sliding window trimming. Increasing this number will relax the trimming. Set to 1 for per base trimming (not recommended).
--complexity_threshold
: Set to 30. Complexity is defined as P(base[i] != base[i+1]). Reads bellow the threshold are discarded. Usefull to filter polyA tails in RNA seq data !
-w
: Threads used.
--max_len1 350
: Maximum lenght of submited reads. Longer reads will be trimmed from 3’ end to the maximum size.
Please refer to the fastp manual for more informations.
FastQC; quality control¶
AllMine uses FastQC v0.11.8 to perform quality control on submited reads. Two modules, fastqc_pe and fastqc_se have been implemented to handle paired end and single end reads respectively. Numerous indices and statistics are computed by FastQC. You may inspect them to ensure your data quality.
BWA index; genome indexing¶
If you have submited DNAseq data, AllMine will index your reference genome using
the bwa index
command from BWA v0.7.17.
Parameters :
-a is
: Algorithm used to index the genome. IS does not work for large genome (size > 3Gbp). Switch to-a bwtsw
if needed.
STAR index; genome indexing¶
If you have submited RNAseq data, AllMine will index your reference genome using
the STAR --runMode genomeGenerate
command from
STAR v2.7.0f.
To perfom a two pass mapping strategy
BWA mem; DNAseq read mapping¶
If you have submited DNAseq data, AllMine will map your reads using
the bwa mem
command from BWA v0.7.17.
Two modules, bwa_pe and bwa_se have been implemented to handle
paired end and single end reads respectively. This mapping algorithm handle
reads from 70bp to 1Mbp.
Parameters :
-w
: Set to 100 bp. Band width. Essentially, gaps longer than INT will not be found.
-d
: Set to 100. Z-dropoff. Avoids unnecessary extension, but also reduces poor alignments inside a long good alignment.
-r
: Set to 1.5. Larger value yields fewer seeds, which leads to faster alignment speed but lower accuracy.
-B
: Set to 4. Mismatch penalty.
-O
: Set to 6. Gap opening penalty.
-E
: Set to 1. Gap extention penalty.
-L
: Set to 5. When performing SW extension, BWA-MEM keeps track of the best score reaching the end of query.
Note : In most of the cases BWA parameters are well suited for balance between accuracy and computational cost.
STAR; RNAseq reads mapping¶
If you have submited RNAseq data, AllMine will map your reads using STAR
command from STAR v2.7.0f. AllMine apply
a two pass mapping strategy. Two both handle paired and single end data four
modules where developped star_pe_FP, star_pe_SP, star_pe_FP and
star_pe_SP.
Parameters :
--scoreGap
: Set to 0. Gap penalty.
--scoreGapNoncan
: Set to -8. Non-canonical junction penalty.
--scoreGapGCAG
: Set to -4. GC/AG and CT/GC junction penalty.
--scoreGapATAC
: Set to -8. AT/AC and GT/AT junction penalty.
--scoreGenomicLengthLog2scale
: Set to -0.25. Extra score logarithmically scaled with genomic length of the alignment : scoreGenomicLengthLog2scale*log2(genomicLength).
--scoreDelOpen
: Set to -2. Deletion open penalty.
--scoreDelBase
: Set to -2. Deletion extension penalty per base (in addition to scoreDelOpen).
--scoreInsOpen
: Set to -2. Insertion open penalty.
--scoreInsBase
: Set to -2. Insertion extension penalty per base (in addition to scoreInsOpen).
--scoreStitchSJshift
: Set to 1. Maximum score reduction while searching for SJ boundaries in the stitching step.
--runThreadN
: Set to 10. Number of threads used per jobs.
Note : STAR include numerous parameters, please read the manual for more informations.
Varscan; SNP calling¶
AllMine use Varscan v2.4.3 to perform SNP calling on aligned reads.
Parameters :
--p-value
: Set to 0.99. We did not choosed to use p value as filter for SNP calling. However you can tune this parameter if wanted.
--min-coverage
: Set to 8. Minimal deep at SNP loci for calling.
--min-var-freq
: Set to 0.15. Minimal variant frequency at SNP loci for calling.
--min-avg-qual
: Set to 20. Minimal sequencing quality at SNP loci for calling.
Note : The tunning of Varscan parameters is a trade-off between sensitivity and specificity. It should be keeped in mind when analysing your results!


Running Multiple Firefox Profiles on Linux
I recently switched from Chrome to Firefox. It's so fast, and easier to trust that Mozilla has my privacy and interests at heart than Google does.
I want to run a second profile at work, to keep a distinct set of open tabs, bookmarks, and the like. Here's how I did it:
Close all Firefox windows. Run the Profile Manager with firefox -p
.
Create a second profile.
Open Firefox and find the directories your profiles live by browsing to
about:profiles
.
Substitute those directories into this firefox.desktop file, where I've marked 'XXX':
# Gnome3 .desktop file for Firefox with multiple profiles [Desktop Entry] Version=1.0 Name=Firefox Comment=Browse the web GenericName=Web Browser Keywords=Internet;WWW;Browser;Web;Explorer Type=Application Exec=firefox --no-remote %u Terminal=false X-MultipleArgs=false Icon=firefox Categories=GNOME;GTK;Network;WebBrowser; Actions=home;work MimeType=text/html;text/xml;application/xhtml+xml;application/xml;application/rss+xml;application/rdf+xml;image/gif;image/jpeg;image/png;x-scheme-handler/http;x-scheme-handler/https;x-scheme-handler/ftp;x-scheme-handler/chrome;video/webm;application/x-xpinstall; StartupNotify=true [Desktop Action home] Name=Firefox (home) Exec=firefox --profile .mozilla/firefox/XXX --no-remote %u [Desktop Action work] Name=Firefox (work) Exec=firefox --profile .mozilla/firefox/XXX --no-remote %u
Save the above as firefox.desktop and install using:
$ desktop-file-validate firefox.desktop $ desktop-file-install --dir=.local/share/applications firefox.desktop
This results in a Firefox icon in your applications menu that defaults to whichever profile you mark as default in the ProfileManager, but right clicking lets you select the home or work profile explicitly. Open each, and change the theme in one of them so the windows are visually distinct.
Tested on Ubuntu, RHEL 7.3, probably works on all Gnome3 desktops.


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The information security policy should include legal, regulatory and business requirements for cardholder data retention.
Check the information security policy to make sure it includes applicable legal, regulatory, and business requirements for cardholder data retention. The requirements should be explicit regarding the duration of retention and the purpose. For example, “Cardholder data X should be stored for duration Y for the purpose Z.”
Identify the cardholder data retention requirements for legal, regulatory and business needs. Express the retention requirements in the form of "Cardholder data X should be stored for duration Y for the purpose Z," and include them in the information security policy.


C E G J Q R S U W
All Classes All Packages
All Classes All Packages
All Classes All Packages
C
- clearPersistentStateData() - Static method in class com.qoretechnologies.qorus.job.JobApi
-
Clears the job's state data in "JOB_PERSISTENT_STATE_DATA"
- com.qoretechnologies.qorus.job - package com.qoretechnologies.qorus.job
E
- err(String, String, Object...) - Static method in class com.qoretechnologies.qorus.job.JobApi
-
Raises an error in a running job; does not affect the flow of execution in the job code The error information is stored in the "job_errors" table with a severity of OMQ.ES_Major and the business flag set to true
- errWithInfo(String, Object) - Static method in class com.qoretechnologies.qorus.job.JobApi
-
Raises an error in a running job; does not affect the flow of execution in the job code The error information is stored to the "job_errors" table, errors errors with a severity less than or equal to OMQ.ES_Warning are treated as warnings
- errWithInfo(String, String, Object) - Static method in class com.qoretechnologies.qorus.job.JobApi
-
Raises an error in a running job; does not affect the flow of execution in the job code The error information is stored to the "job_errors" table, errors errors with a severity less than or equal to OMQ.ES_Warning are treated as warnings
- errWithInfo(String, String, Object, String) - Static method in class com.qoretechnologies.qorus.job.JobApi
-
Raises an error in a running job; does not affect the flow of execution in the job code The error information is stored to the "job_errors" table, errors errors with a severity less than or equal to OMQ.ES_Warning are treated as warnings
- errWithInfo(String, String, Object, String, boolean) - Static method in class com.qoretechnologies.qorus.job.JobApi
-
Raises an error in a running job; does not affect the flow of execution in the job code The error information is stored to the "job_errors" table, errors errors with a severity less than or equal to OMQ.ES_Warning are treated as warnings
G
- getConfigItemHash() - Static method in class com.qoretechnologies.qorus.job.JobApi
-
Returns a hash of all configuration items for the current job as a combination of local and global configuration items Example:
- getConfigItemHash(HashMap<String, Object>) - Static method in class com.qoretechnologies.qorus.job.JobApi
-
Returns a hash of all configuration items for the current job as a combination of local and global configuration items Example:
- getConfigItems() - Method in class com.qoretechnologies.qorus.job.QorusJob
-
Method to return configuration items This is executed by oload "oload" when the object is loaded.
- getConfigItemsImpl() - Method in class com.qoretechnologies.qorus.job.QorusJob
-
Method to return configuration items; this method should be overridden by child classes to provide item configuration This is executed by getConfigItems() by oload when the object is loaded into the system.
- getConfigItemValue(String) - Static method in class com.qoretechnologies.qorus.job.JobApi
-
Returns the value of the given configuration item for the current job Example:
- getConfigItemValue(String, HashMap<String, Object>) - Static method in class com.qoretechnologies.qorus.job.JobApi
-
Returns the value of the given configuration item for the current job Example:
- getConfigItemValue(String, HashMap<String, Object>, boolean) - Static method in class com.qoretechnologies.qorus.job.JobApi
-
Returns the value of the given configuration item for the current job Example:
- getInfo() - Static method in class com.qoretechnologies.qorus.job.JobApi
-
Returns a hash of job information about the current job
- getOption() - Static method in class com.qoretechnologies.qorus.job.JobApi
-
Returns the value of all job options
- getOption(String) - Static method in class com.qoretechnologies.qorus.job.JobApi
-
Returns the value of the named job option If the option is not set on the job, and it is a valid system option, then the value of the system option will be returned.
- getOption(String...) - Static method in class com.qoretechnologies.qorus.job.JobApi
-
Returns the value of the named job option or options If the option is not set on the job, and it is a valid system option, then the value of the system option will be returned.
- getPersistentStateData() - Static method in class com.qoretechnologies.qorus.job.JobApi
-
Returns any job state data stored with savePersistentStateData()
- getStateData() - Static method in class com.qoretechnologies.qorus.job.JobApi
-
Returns any job state data stored with saveStateData()
J
- JobApi - Class in com.qoretechnologies.qorus.job
-
The main Qorus Java job API class
- JobApi() - Constructor for class com.qoretechnologies.qorus.job.JobApi
Q
- QorusJob - Class in com.qoretechnologies.qorus.job
-
The abstract class for Qorus jobs Example:
- QorusJob() - Constructor for class com.qoretechnologies.qorus.job.QorusJob
R
S
- saveInfo(Object) - Static method in class com.qoretechnologies.qorus.job.JobApi
-
Saves information against the job instance in the database The information is serialized in YAML format and saved in the database in the "JOB_INSTANCE" row as a part of the job results.
- savePersistentStateData(HashMap<String, Object>) - Static method in class com.qoretechnologies.qorus.job.JobApi
-
Serializes the given hash and stores against the job's state data in "JOB_PERSISTENT_STATE_DATA"
- saveStateData(HashMap<String, Object>) - Static method in class com.qoretechnologies.qorus.job.JobApi
-
Serializes the given hash and stores against the job's state data in "JOB_STATE_DATA"
- setOption(String, Object) - Static method in class com.qoretechnologies.qorus.job.JobApi
-
Changes a single option value on a job If the job has defined job options and an invalid option is passed to the method, an exception will be raised.
- setOption(HashMap<String, Object>) - Static method in class com.qoretechnologies.qorus.job.JobApi
-
Changes option values on a job If the job has defined job options, and at least one invalid option is passed to the method, an exception will be raised; however all other valid options in the hash will be set before the exception is raised
- setTrigger(ZonedDateTime) - Static method in class com.qoretechnologies.qorus.job.JobApi
-
Sets a one-time custom trigger time for the job; returns true if set, false if ignored
- sleep(int) - Static method in class com.qoretechnologies.qorus.job.JobApi
-
Puts the current thread to sleep for a certain number of seconds If the job is stopping, this method returns immediately with a return value of -1; otherwise the current thread is put to sleep for the full time period requested.
U
- usleep(int) - Static method in class com.qoretechnologies.qorus.job.JobApi
-
Puts the current thread to sleep for a certain number of microseconds If the job is stopping, this method returns immediately with a return value of -1; otherwise the current thread is put to sleep for the full time period requested.
- usleep(QoreRelativeTime) - Static method in class com.qoretechnologies.qorus.job.JobApi
-
Puts the current thread to sleep for a certain number of microseconds If the job is stopping, this method returns immediately with a return value of -1; otherwise the current thread is put to sleep for the full time period requested.
W
- warn(String, String, Object...) - Static method in class com.qoretechnologies.qorus.job.JobApi
-
Raises a warning in a running job; does not affect the flow of execution in the job code The warning information is stored to the "job_errors" table with a severity of OMQ.ES_Warning and the business flag set to true
- warnWithInfo(String, Object) - Static method in class com.qoretechnologies.qorus.job.JobApi
-
Raises a warning in a running job; does not affect the flow of execution in the job code The warning information is stored to the "job_errors" table with a severity of OMQ.ES_Warning
- warnWithInfo(String, String, Object) - Static method in class com.qoretechnologies.qorus.job.JobApi
-
Raises a warning in a running job; does not affect the flow of execution in the job code The warning information is stored to the "job_errors" table with a severity of OMQ.ES_Warning
- warnWithInfo(String, String, Object, boolean) - Static method in class com.qoretechnologies.qorus.job.JobApi
-
Raises a warning in a running job; does not affect the flow of execution in the job code The warning information is stored to the "job_errors" table with a severity of OMQ.ES_Warning
All Classes All Packages


Non-Intrusive Load Monitoring (NILM)
Use a smart meter for a house, building, microgrid, etc., to infer and track the performance of appliances and loads; thus, helping to create a smart energy efficient environment.
Our goal is to work with our SFU departments and external partners to help understand what computation tools are available and how computation can be used to solve difficult suitability problems. We apply and invent new machine learning and statistical signal processing algorithms to the many different aspects of computational sustainability. Here are some of our current projects.
Use a smart meter for a house, building, microgrid, etc., to infer and track the performance of appliances and loads; thus, helping to create a smart energy efficient environment.
Collect data and publish publicly available datasets that are used to test machine learning systems that attempt to solve sustainability problems.
Investigating how communities can become self-reliant by generating and sharing power using new information and communication technologies (ICT).
Create a ubiquitous computing platform that communities can use to track their carbon output and collectively reduce their carbon footprint.


The teaching material is produced in various formats for printing and on-screen reading.
The PDF files are based on LaTeX and have seldom technical failures that cannot be easily corrected. The HTML-based files, called "HTML" and "ipynb" below, apply MathJax for rendering LaTeX formulas and sometimes this technology gives rise to unexpected failures (e.g., incorrect rendering in a web page despite correct LaTeX syntax in the formula). Consult the corresponding PDF files if you find missing or incorrectly rendered formulas in HTML or ipython notebook files.
| Week and days | Topics to be covered | Projects and deadlines | Reading assignments | Lab activities |
|---|---|---|---|---|
| Week 34 | Introduction to programming | Warm-up exercise | Chapters 2 and 3.1 and 3.2 | presentation of Git and github |
| Numerical derivation | From lecture notes | Installing c++ | ||
| Week 35 | Linear algebra, Gaussian elemination, LU decomposition | Project 1, deadline September 19 | Sections 2.5, 3.1, 6.3, 6.4 | Installing and using Qt |
| Discussion of pointers and arrays | Work on project 1 | |||
| Week 36 | Linear algebra, Gaussian elimination | Sections 6.4, 6.5 and 6.6 | How to write a good report and more git and Qt stuff | |
| Spline interpolation and iterative methods | Discussed during lab sessions | Read slides on how to write a report | ||
| Week 37 | Eigenvalue problems, Jacobi's method | Project 2, deadline October 3 | Sections 7.1-7.4 | Object orientation with examples |
| Householder's and Given's methods | Read slides on object orientation and section 3.3 | Finalize project 1 | ||
| Week 38 | Eigenvalue problems, iterative and power methods | Sections 7.4-7.7 | Object orientation | |
| Differential equations | Sections 8.1-8.3 | |||
| Week 39 | Ordinary differential equations | Project 3, deadline October 24 | Sections 8.3-8.7 | Object orientation (OO) |
| Finalize project 2 | ||||
| Week 40 | Numerical integration | Sections 5.1-5.3 | OO and Vectorization | |
| Read slides on vectorization etc | ||||
| Week 41 | Numerical integration and parallelization | Section 5.5 | Parallelization with OpenMP | |
| Introduction to Monte Carlo methods | Sections 11.1-11.2 | |||
| Week 42 | Introduction to Monte Carlo methods | Project 4, deadline November 14 | Sections 11.3-11.5 | Parallelization with MPI |
| Random walks and the Metropolis algorithm | Sections 12.1-12.3 | Finalize project 3 | ||
| Week 43 | Random walks and the Metropolis algorithm | Sections 12.4-12.5 | Start project 4 | |
| Discussion of project 4 and statistical mechanics | Sections 13.1-13.3 | More OO | ||
| Week 44 | Project 4 and statistical mechanics | Sections 13.4-13.7 | Parallelization and high-performance computing | |
| Week 45 | Variational Monte Carlo | Project 5, deadline December 9 | Sections 14.1-14.4 | Finalize project 4 |
| Week 46 | Variational Monte Carlo | Section 14.5 | Work on project 5 | |
| Presentation of final projects | ||||
| Partial differential equations | Sections 10.1-10.2 | |||
| Week 47 | Partial differential equations | Sections 10.1-10.2 | Work on project 5 | |
| Week 48 | Partial differential equations | Sections 10.3-10.4 | Finalize project 5 | |
| Summary of course and discussions |
The syllabus for this course consists of the lecture notes on the webpage (chapters 2-15) and 5 compulsory projects. The last three projects are graded and count 1/3 each of the final mark.
In addition we recommend highly the texts on Numerical Recipes in C++ or Fortran90 by Press et al. The C, F77 and Fortran90 can be downloaded down for free, follow the links at Numerical Recipes.
The program library in C++ and Fortran2008 used in this course is a rewritten version of the Numerical Recipes codes.
All programs are available at the github address of the course


The Logs are generated for all the features on this website, and can be used by the user to track actions, activities and view a summary of operations and usage patterns for further inference and analysis.
Download Logs| Code | Action |
|---|---|
| CH | Crack Hash |
| CF | Crack File |
| CD | Crack Dir |
| CC | Concurrent Crack |
| EF | Encrypt File |
| Date | Time | Action | File | Hash | Type | Value |
|---|---|---|---|---|---|---|
| {{ column }} | {% else %}{{ column }} | {% endif %} {% endfor %}


72 Hours In Los Angeles Flip Grid
-
72
-
LAX AIRPORT
Westchester
The world's fourth-busiest airport
rolled out new rules for pickups
just days before we arrived.
-
HOURS
-
Barnsdall Art Park
East Hollywood
Black wings were found in the city
of angles as Halloween decorations
started coming down too.
-
Y-Que Trading Post
Los Feliz
You can design your own shirts
at this groovy souvenir shop
beloved by locals and tourists alike.
-
IN
-
7th St / Metro Center
Financial District
Metro's Blue Line reopened as the A Line
on Nov. 2. The light rail line offers service
to the Los Angeles Memorial Coliseum.-
LOS ANGELES
-
Bradbury Building
Downtown Los Angeles
The 1982 film Blade Runner was set
in November 2019 and filmed here.
The future has arrived.
-
LTSC
Little Tokyo
The Little Tokyo Service Center is
a social and cultural welfare instition
on the edge of Skid Row.-
Angel City Brewery
Arts District
Bartenders at this leading L.A. brewery
had great recommendations for on-tap beer
as well as that within walking distance.
-
Umgee USA Inc
Pico Gardens
Waste disposal company NASA Services
has been blamed for the 38% increase
in nearby homeowners’ trash bills.
-
Sixth Street Bridge
Boyle Heights
Completion of the largest bridge
project
in LA history has been delayed
until March 2022.
-
Mel’s Drive-In
West Hollywood
Actor, bodybuilder and former
California
Governor Arnold Schwarzenegger recently
revealed that his diet is now 99% vegan.-
The Comedy Store
West Hollywood
John Witherspoon was honored at the club
where he honed his craft. The beloved
actor-comedian died on Oct. 29 at age 77.
-
Venice Afterburn
Venice Beach
Large scale sculptures sat on the beach
during the official Regional Burning Man
event hosted by the Venice Art Crawl.
-
Sunset Boulevard
Silver Lake
Homeless encampments lined the highway
above million dollar homes; evidence
of the city's growing wealth gap.
-
VanillaBlack
Echo Park
Neon lights faded more with
every step further as night
fell on Sunset Boulevard.-
Guisados
Echo Park
This Boyle Heights-born Mexican
restaurant serves meats, vegetables and
seafood in fresh homemade tortillas.
-
Grand Park
Downtown Los Angeles
Community center Self Help Graphics
& Art celebrated Day of the Dead with
festive altars that lit up the plaza.
-
Yang Chow Restaurant
Chinatown
Five brothers started this family-run staple
here in 1977. Named after their hometown,
Yang Chow now has multiple locations.
-
Pacific Park
Santa Monica
We cruised the boardwalk
Monday morning, hours before
our flight back to New York.-
Massilia
Downtown Santa Monica
The founder of French micro-chain
Zinqué cafe has brought new life to
Border Grill's shuttered promenade spot.
-
Misfits Bar
Downtown Santa Monica
A patron’s print pays homage to Capone
and Noriega’s The War Report. The 1997
album features the single “L.A., L.A.”


{{ categoryName}}
Events manager
Events managers organise and run promotional, business and social events.
Personal trainer
Personal trainers help their clients reach their personal health and fitness goals.
Sports coach
Sports coaches teach sports skills to individuals and teams of all sporting abilities.
Sports professional
Sports professionals are skilled and talented sportsmen and women, who are paid to compete in their chosen sport.


Report: Aston Villa boss Dean Smith keen on Norwich attacker Emiliano Buendia
by Dom TonerAston Villa are reportedly eyeing Norwich City attacker Emiliano Buendia.
According to Sky Sports, Villa manager Dean Smith is “keen” on the South American star.
It is understood that he could cost over £20million to prize away from Carrow Road, as he’s one of the influential figures in the Norwich team.
The report also details that Brentford wide man Said Benrahma is also wanted by Villa ahead of the January transfer window.
Buendia was in excellent form last season for Norwich, with eight goals and 17 assists in 41 games across all competitions.
The 22-year-old Argentine has four Premier League assists so far this season following his team’s promotion to the top-flight, but is part of a struggling side right now.
He is a skilful right-winger that has excellent vision to pick a pass and is intelligent in the final third.
TBR’s View:
Buendia is a special young player that has shown in glimpses so far this season and there is certainly plenty more to come from him.
The diminutive playmaker is the one that can help pull the strings for Norwich when he’s on form and it’s easy to imagine him moving on to bigger things.
Villa fans should be pleased by interest in the Norwich creator due to his potential, but it seems unlikely they can nick him off a rival midway through a season and he would be expensive.
Have something to tell us about this article?
Let us know


Writing to sensitive files: /etc/passwd
Use openssl passwd --help (to show options)
openssl passwd <password> #gives encrypted passwd in stdout
Now add the encrypted password to a user in /etc/passwd (overwrite someone elses password like root!)
You can now login with that password
or just create a new user with UID and GID 0:
openssl passwd -1 -salt ippsec hackthebox
ippsec:$1$ojfoawijefoa;iwjfeoi:0:0:root:/root:/bin/bash
openssl passwd -1 -salt reward1 hackthebox
reward1:$1$reward1$H2gwNHo7p4.a/0N1S1Ct5/:0:0:root:/root:/bin/bash
escaped: reward1:\$1\$reward1\$H2gwNHo7p4.a/0N1S1Ct5/:0:0:root:/root:/bin/bash


The page you are looking for might have been removed had its name changed or is temporarily unavailable.
©2021 MERN Stack Boilerplate


{{ define "title" }} - About{{ end }} {{ define "content" }}
Principia is an educational physics playground emphasizing visualizations and interactability.
This web-based project is designed to helps students reinforce key concepts through visualizing physical scenarios. A user can build a system by dragging and dropping elements like ramps, pulleys, or springs into a frame in their browser. Then the simulation can be run to see the elements interact with each other over time, with the ability to pause the simulation at any point and query the state of an element. Users can save their simulations and share them with others.
Principia serves as a powerful supplement to any physics classroom or as a playground that would allow students to further explore concepts in a visually exciting way.
This is a Computer Science senior capstone project at the University of Utah. Fork us on GitHub, or follow along with our behind the scenes on Instagram!


Due to sandboxing, in order for Generic Sensor API to work, open the demo in the standalone mode.
Demo based on HTML5 Rocks article.


| Interface | Bytes | Packets | Errors | Discards |
|---|---|---|---|---|
| Ports | ||||
| Port 1 Transmit | 38038 | 330 | 0 | 0 |
| Port 1 Receive | 0 | 0 | 0 | 0 |
| Port 2 Transmit | 0 | 0 | 0 | 0 |
| Port 2 Receive | 0 | 0 | 0 | 0 |
| Port 3 Transmit | 0 | 0 | 0 | 0 |
| Port 3 Receive | 0 | 0 | 0 | 0 |
| Port 4 Transmit | 0 | 0 | 0 | 0 |
| Port 4 Receive | 0 | 0 | 0 | 0 |
| System | ||||
| Transmit | 38038 | 330 | 0 | 0 |
| Receive | 0 | 0 | 0 | 0 |
| Interface | SSID | Bytes | Packets | Errors | Discards |
|---|---|---|---|---|---|
| 2.4GHz | Dadda Transmit | 32787652 | 29633 | 0 | 0 |
| Dadda Receive | 1468292 | 11678 | 0 | 0 | |
| 5GHz | Dadda Transmit |<PHONE_NUMBER> | 1142593 | 2 | 7690 |
| Dadda Receive | 38642621 | 376069 | 9 | 0 |
Congestion on Channels
No Available Data
Congestion on Channels
No Available Data
HomePNA Network (Coax)
| Type | Value |
|---|---|
| Firmware Version | D-UCv1-9-4-27111005-ATT.bin |
| Firmware Signature | FA52DC3058a8C139E8fbD93501f19396 |
| HPNA Physical Link | DOWN |
| Network Mode | SYNCHRONOUS |
| NodeID | MTU | Mac Address |
|---|---|---|
| 1 | 14000 | 38:3b:c8:38:1e:17 |
HPNA Network Performance Management Data
Data Collection Time:
HPNA Network Current Multicast Capacity (Mbps): 0
HPNA Performance Data
No Available Data


home
|
features
|
getting started
|
FAQ
|
download
|
help
|
about
Welcome to the BWEM library homepage
[online version of this page]
Brood War Easy Map is a C++ library that analyses Brood War's maps and
provides relevant information such as areas, choke points and base locations.
It is built on top of the BWAPI library.
It first aims at simplifying the development of bots for Brood War, but can be used
for any task requiring high level map information.
It can be used as a replacement for the BWTA2 add-on,
as it performs faster and shows better robustness while providing similar information.
The current version is 1.0 beta
It has been tested with Microsoft Visual Studio Express 2013 for Windows Desktop, 32-bit
If you encounter any bug, error or warning message, do not hesitate to report it on
http://sourceforge.net/p/BWEM/discussion/help_/
or contact me.
Screenshots:
Andromeda.scx
Destination.scx
Baby Steps.scm
License: MIT/X11
Requirements:
Limitations:
- BWEM doesn't provide any geometric description (polygon) of the computed areas. If you need this, check the BWTA2 library
- BWEM is not compatible with older versions of BWAPI (prior to 4.0). If you need such compatibility, check the BWTA library
History:
September, 2015 : first release 1.0 beta
home
|
features
|
getting started
|
FAQ
|
download
|
help
|
about


Change the amount of your exchange to exceed the credit limit.
minus sign(-) means give and plus sign(+) means get money.
| {{currency1}} | {{currency2}} | |
|---|---|---|
| you | -{{amount11}} | +{{amount12}} |
| your counterpart | +{{amount22}} | -{{amount21}} |
| importer | +{{min1}} -{{min2}} | 0 |
| exporter | ||
| sum | +{{sum1}} | +{{sum2}} |
page11


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I prefer to be contacted by:
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I would like more information about:
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1 /*! 2 * ======== Main ======== 3 * Tool for reading and decoding UIA data over ethernet. 4 */ 5 metaonly module Main inherits xdc.tools.ICmd { 6 7 override config String usage[] = [ 8 ' ', 9 'Usage', 10 '[-p] [-h] [-m] [-e executable] [-x RTA XML file] [-o output text file] [-c delimter character]', 11 '[--help]', 12 ' ', 13 ]; 14 15 instance: 16 17 /*! 18 * ======== printToScreen ======== 19 * Whether to print the decoded records to the console. 20 * 21 * You may use this tool to simply print the decoded records, or you 22 * may have them redirected to a file to be processed elsewhere. 23 */ 24 @CommandOption('p') 25 config Bool printToScreen = false; 26 27 /*! 28 * ======== suppressHeader ======== 29 * Don't print the header when printing the decoded records. 30 */ 31 @CommandOption('h') 32 config Bool suppressHeader = false; 33 34 /*! 35 * ======== more ======== 36 * Wait for the user to press enter before displaying the next packet. 37 * 38 * Without this flag, the tool will simply print all of the records in the 39 * data file to the screen. If this flag is set, then the tool will wait 40 * the user to press enter in between displaying each packet. 41 */ 42 @CommandOption('m') 43 config Bool more = false; 44 45 /*! 46 * ======== executable ======== 47 * Path to the executable which was used to generate the data file. 48 */ 49 @CommandOption('e') 50 config String executable = ""; 51 52 /*! 53 * ======== rtaXml ======== 54 * Optional path to the RTA XML file. 55 */ 56 @CommandOption('x') 57 config String rtaXml = ""; 58 59 /*! 60 * ======== outputFile ======== 61 * Optional path to an output file to write the decoded records to. 62 * 63 * The tool will write the decoded records out as text to the specified 64 * out file. The record properties will be separated with a delimeter 65 * character so that they can be imported into a spreadsheet such as 66 * Excel. 67 */ 68 @CommandOption('o') 69 config String outputFile = ""; 70 71 /*! 72 * ======== loadFile ======== 73 * // TODO 74 * [-l output file for load data] 75 */ 76 77 /*! 78 * ======== delimiter ======== 79 * Delimiter character to use when writing out the file. 80 * 81 * The character specified here will be inserted between each of the 82 * record fields so that the file can be imported into a spreadsheet 83 * such as excel. 84 */ 85 @CommandOption('c') 86 config String delimiter = "|"; 87 88 }


public final class BotLotPFWorkers
extends java.lang.Object
Started: 2/13/16
TODO:: Javadoc stuff
| Modifier and Type | Field and Description |
|---|---|
static java.lang.String |
notReadyMessage
The string to be used when throwing exceptions when the data given is not ready.
|
| Constructor and Description |
|---|
BotLotPFWorkers() |
| Modifier and Type | Method and Description |
|---|---|
static void |
addTrapEdges(BotLotPFAlgorithm algIn)
Adds edges that would trap an algorithm to the algorithm object.
|
static java.util.ArrayList<LotEdge> |
getTrapEdges(BotLot lotIn)
Gets a list of edges that would trap an algorithm.
|
static java.util.ArrayList<LotEdge> |
getTrapEdges(LotGraph graphIn,
LotNode curNode,
LotNode destNode)
Gets a list of edges that would put a searching algorithm into a trapped or dead end state.
|
static boolean |
hasPath(BotLot lotIn)
Determines if there is a path from the curNode to the destNode.
|
static boolean |
hasPath(BotLotPFAlgorithm algIn)
Determines if there is a path from the curNode to the destNode.
|
static boolean |
hasPath(LotGraph graphIn,
LotNode curNode,
LotNode destNode)
Determines if there is a path from the curNode to the destNode.
|
static boolean |
hasPath(LotGraph graphIn,
LotNode curNode,
LotNode destNode,
java.util.ArrayList<LotEdge> edgesToAvoid)
Determines if there is a path from the curNode to the destNode.
|
static boolean |
pathIsValid(BotLot lotIn)
Checks if the path held in the BotLot object is valid, and actually describes a path through the graph.
|
static boolean |
pathIsValid(LotPath pathIn,
BotLot lotIn)
Checks if the given path is valid, and actually describes a path through the graph.
|
static boolean |
pathIsValid(LotPath pathIn,
BotLotPFAlgorithm algIn)
If the path given is valid based on the values held in the given algorithm.
|
static boolean |
pathIsValid(LotPath pathIn,
LotGraph graphIn,
LotNode curNode,
LotNode destNode,
java.util.ArrayList<LotEdge> edgesToAvoid)
Checks if the given path is valid, and actually describes a path through the graph.
|
static boolean |
readyCheck(BotLot lotIn,
boolean checkPath)
Checks if the data in a BotLot object is ready to have actions performed on it.
|
static boolean |
readyCheck(BotLotPFAlgorithm algIn,
boolean checkPath)
Checks if the data in an algorithm object is ready to have actions performed on it.
|
static boolean |
readyCheck(LotGraph graphIn,
LotNode curNode,
LotNode destNode,
boolean checkPath)
Checks if the data given is ready to have actions performed on them.
|
public static final java.lang.String notReadyMessage
public static boolean readyCheck(LotGraph graphIn, LotNode curNode, LotNode destNode, boolean checkPath)
graphIn
- The graph we are testing about.curNode
- The current node we are at.destNode
- The node we are trying to get to.checkPath
- If we want to check if a path exists between the two.public static boolean readyCheck(BotLot lotIn, boolean checkPath)
lotIn
- The BotLot object we are testing.checkPath
- If we want to check the path or not.public static boolean readyCheck(BotLotPFAlgorithm algIn, boolean checkPath)
algIn
- The algorithm object we are testing.checkPath
- If we want to check the path or not.public static java.util.ArrayList<LotEdge> getTrapEdges(LotGraph graphIn, LotNode curNode, LotNode destNode) throws BotLotPFException
graphIn
- The graph we are dealing with.curNode
- The node we are starting at.destNode
- The node we are trying to get to.BotLotPFException
- If something went wrong.public static java.util.ArrayList<LotEdge> getTrapEdges(BotLot lotIn) throws BotLotPFException
lotIn
- The BotLot object we are dealing with.BotLotPFException
- If something is not ready, or went wrong.public static void addTrapEdges(BotLotPFAlgorithm algIn) throws BotLotPFException
algIn
- The algorithm object to deal with.BotLotPFException
- If something is not ready, or went wrong.public static boolean hasPath(LotGraph graphIn, LotNode curNode, LotNode destNode, java.util.ArrayList<LotEdge> edgesToAvoid) throws BotLotPFException
graphIn
- The graph we are dealing with.curNode
- The node we are starting at.destNode
- The node we are trying to get to.edgesToAvoid
- Edges we are trying to avoid.BotLotPFException
- if something went wrong.public static boolean hasPath(LotGraph graphIn, LotNode curNode, LotNode destNode) throws BotLotPFException
graphIn
- The graph object to use.curNode
- The node we are starting at.destNode
- The node we want to go to.BotLotPFException
- If the data is not ready, or does not have the given nodes.public static boolean hasPath(BotLot lotIn) throws BotLotPFException
lotIn
- The BotLot that we are dealing with.BotLotPFException
- If the BotLot object given isn't ready for path generation.public static boolean hasPath(BotLotPFAlgorithm algIn) throws BotLotPFException
algIn
- The algorithm to get information from.BotLotPFException
- If something went wrong.public static boolean pathIsValid(LotPath pathIn, LotGraph graphIn, LotNode curNode, LotNode destNode, java.util.ArrayList<LotEdge> edgesToAvoid) throws BotLotPFException
pathIn
- The path to check if it is valid.graphIn
- The graph this path is associated with.curNode
- The node we are currently at.destNode
- The node we are trying to get to.edgesToAvoid
- Edges to not go down.BotLotPFException
- If something goes wrong.public static boolean pathIsValid(LotPath pathIn, BotLot lotIn) throws BotLotPFException
pathIn
- The path to check.lotIn
- The BotLot object to check against.BotLotPFException
- If something went wrong.public static boolean pathIsValid(BotLot lotIn) throws BotLotPFException
lotIn
- The BotLot object we care about.BotLotPFException
- If something went wrong.public static boolean pathIsValid(LotPath pathIn, BotLotPFAlgorithm algIn) throws BotLotPFException
pathIn
- The path to check.algIn
- The algorithm to get information about.BotLotPFException
- If something went wrong.


Locations
Paris
Tokyo
Buenos Aires
New York
Moments
First powered flight
Hiroshima bombing
First step on the Moon
Berlin Wall fall


[#assign actionTitle="敏感词管理" /]
[#assign _TITLE_="敏感词管理" /]
[#assign actions=[{"action":"","title":"敏感词列表","url":"${baseUrl}admin/badwords.jhtml"},
{"action":"","title":"添加词条","url":"javaScript:add()"}
]]
[#include "/plugin/cms/common/includes/header.htm"/]
[#import "/plugin/cms/base/macros/pager-macros.html" as mypager /]


| Total net profit | -60.79 | Gross profit | 84.58 | Gross loss | -145.37 |
| Profit factor | 0.58 | Expected payoff | -0.3 | ||
| Absolute drawdown | -63.65 | Maximal drawdown (%) | 68.89 (1314.69%) | ||
| Total trades | 200 | Profit trades (% of total) | 93 (46.5%) | Loss trades (% of total) | 107 (53.5%) |
| Long positions (won %) | 98 (55.1%) | Short positions (won %) | 102 (38.24%) | ||
| Largest | profit trade | 3.72 | loss trade | -3.06 | |
| Average | profit trade | 0.91 | loss trade | -1.36 | |
| Minimum | profit trade | 0.05 | loss trade | -0.16 | |
| Maximum | take profit in pips | 49.3 | stop loss in pips | -48.9 | |
| Average | take profit in pips | 13.7 | stop loss in pips | -19.9 | |
| Minimum | take profit in pips | -3.5 | stop loss in pips | -4.8 | |
| Maximum | Reward-Risk | 6.1 | Duration in minutes | 2923 | |
| Average | Reward-Risk | 0.9 | Duration in minutes | 141.5 | |
| Minimum | Reward-Risk | 0.0 | Duration in minutes | 0 | |
| Maximum | consecutive wins (profit in money) | 8.0 (5.38) | consecutive losses (loss in money) | 9.0 (-10.7) | |
| Average | consecutive wins | 1.0 | consecutive losses | 2.0 |
| Total net profit | -19.24 | Gross profit | 48.52 | Gross loss | -67.76 |
| Profit factor | 0.72 | Expected payoff | -0.2 | ||
| Absolute drawdown | -23.65 | Maximal drawdown (%) | 25.22 (1606.37%) | ||
| Total trades | 98 | Profit trades (% of total) | 54 (55.1%) | Loss trades (% of total) | 44 (44.9%) |
| Largest | profit trade | 2.05 | loss trade | -3.06 | |
| Average | profit trade | 0.9 | loss trade | -1.54 | |
| Minimum | profit trade | 0.05 | loss trade | -0.16 | |
| Maximum | take profit in pips | 30.6 | stop loss in pips | -48.9 | |
| Average | take profit in pips | 12.3 | stop loss in pips | -21.6 | |
| Minimum | take profit in pips | -3.5 | stop loss in pips | -8.3 | |
| Maximum | Reward-Risk | 2.8 | Duration in minutes | 2923.0 | |
| Average | Reward-Risk | 0.7 | Duration in minutes | 164.5 | |
| Minimum | Reward-Risk | 0.0 | Duration in minutes | 1.0 | |
| Maximum | consecutive wins (profit in money) | 7.0 (7.22) | consecutive losses (loss in money) | 6.0 (-9.13) | |
| Average | consecutive wins | 2.0 | consecutive losses | 1.0 |
| Total net profit | -41.55 | Gross profit | 36.06 | Gross loss | -77.61 |
| Profit factor | 0.46 | Expected payoff | -0.41 | ||
| Absolute drawdown | -42.17 | Maximal drawdown (%) | 45.84 (1249.05%) | ||
| Total trades | 102 | Profit trades (% of total) | 39 (38.24%) | Loss trades (% of total) | 63 (61.76%) |
| Largest | profit trade | 3.72 | loss trade | -2.65 | |
| Average | profit trade | 0.92 | loss trade | -1.23 | |
| Minimum | profit trade | 0.2 | loss trade | -0.38 | |
| Maximum | take profit in pips | 49.3 | stop loss in pips | -36.3 | |
| Average | take profit in pips | 15.0 | stop loss in pips | -18.3 | |
| Minimum | take profit in pips | -2.4 | stop loss in pips | -4.8 | |
| Maximum | Reward-Risk | 6.1 | Duration in minutes | 2907.0 | |
| Average | Reward-Risk | 1.1 | Duration in minutes | 119.4 | |
| Minimum | Reward-Risk | Duration in minutes | 0.0 | ||
| Maximum | consecutive wins (profit in money) | 3.0 (3.67) | consecutive losses (loss in money) | 9.0 (-10.4) | |
| Average | consecutive wins | 1.0 | consecutive losses | 2.0 |


Euros euphoria and SWC woe useful experience for Wales - Bale
London - Gareth Bale believes Wales' contrasting experiences at Euro 2016 and in failing to qualify for the 2018 World Cup will prepare them perfectly for Tuesday's decisive Euro 2020 qualifier with Hungary in Cardiff.
Win and Wales will be guaranteed their place at next year's tournament, four years on from a remarkable run to the semi-finals at Euro 2016.
A year later, that joy turned to despair when defeat at home to the Republic of Ireland saw Wales fail to qualify for the World Cup.
"We have got the kind of euphoria of qualifying for our first Euros and doing so well at the competition that we really want to do that again," said Bale on Monday.
"We've also got the negatives of knowing how it feels to miss out on qualifying for a tournament like we did with the World Cup.
"Looking back on that now I think we can use that as a positive. We can see how we don't want to feel after the game."
Bale's absence through injury for the final qualifier against Ireland proved fatal to Wales' chances of reaching a first World Cup since 1958, but he has shrugged off a calf injury that has kept him sidelined for Real Madrid in recent weeks to make himself available to coach Ryan Giggs.
The 30-year-old played made his first appearance in a month during Saturday's 2-0 win in Azerbaijan before being replaced by Aaron Ramsey after an hour.
"I'm ready. I hadn't played in four weeks so it was important to get 60 minutes into my legs and get some match sharpness," added Bale.
"We spoke at the start of the week about trying to get 60 minutes and hopefully being a couple (of goals) up before I came off. It worked out well, no problems and I'm ready to go for Tuesday."


| Interface | Description |
|---|---|
| EditableResolvingContext |
EditableResolvingContext corresponding to the mutable version of the ResolvingContext |
| ExceptionHandlingNode<R> |
Interface for node that can ultimately handle exception propagation from bottom nodes.
|
| Expression<R> |
An expression is a placeholder for concrete value (called 'resolved' in the following) or a value which has to still
be evaluated (deferred).
|
| Node |
A marker interface for any node in the instruction tree, which later will be processed by a tree walker.
|
| RebuildableNode<T extends Node> |
This interface represents an
Node which can be rebuilt from a context. |
| RebuildingContext |
Represents a container, which contains a certain amount of results for operations.
|
| ResolvingContext |
A container for resolved expressions which can be used by resolvers of expressions that need these results.
|
| Class | Description |
|---|---|
| AbstractDeferredExpression<R> |
A base class for all kind of deferred (unresolved) expressions.
|
| Contexts |
Provides utility methods for creating different kind of contexts.
|
| Path |
Path containing all
Node s from the exception node to the root |
| RebuildingContextImpl |
RebuildingContextImpl implements RebuildingContext storing the relation from an old node to the new
node in a Map in which the key is the old node. |
| ResolvedExpression<R> |
An expression that needs no further processing.
|
| ResolvingContextImpl |
The simplest implementation of a resolving context.
|
| Exception | Description |
|---|---|
| ExpressionIsUnresolvedException |
Exception which is thrown, if it is tried to get the value of an expression which is deferred.
|


Salvia divinorum (20x extract), Mushrooms - P. cubensis & unknown & Alcohol
In brief-
At the time of the experience, it was a BAD trip - quite unpleasant. I would not like to repeat the experience, nor anything similar. By the end of the experience, it was well worth having and I'm quite glad that I did.
History -
It had been about 3 years since I really experimented at all. In the past I have experimented mostly with hallucinogens, marijuana and other herbs. I never blackout, even from too much alchohol, and I never have holes in my memory. I suffered a minor brain injury 9 years ago, I've had severe depression, and anxiety disorders in the past. For more than a year, I have been in decent spirits, relatively stable, and able to work consistently without medication.
Experiment -
After reading some Jung and then watching 'The Men who Stare at Goats', I was happy, calm, (maybe too tired), and very much in the mood to play around a bit.
Between 12am and 2am while watching 'Girl Interrupted' I had 2 glasses of vodka and Juice (about 2 oz of vodka in each). Around 1:45am decided to put about .1g of salvia div. 20x under my tounge like a tab (just wanted to find out if it would do anything). Meanwhile I was brewing some coffee into a cup containing 3 psilo-cubes (no clue what dose) and about 1/8th oz of mushrooms (Cubensis). I drank it at 2am, with less than an ounce of vanilla vodka for flavour.
By 2:20 I was a little tipsy and disappointed. Usually 20 minutes after taking 'shrooms I would have noticed more, and the Salvia wasn't doing anything, so I decided to smoke a bowl of the Salvia. I was standing at the back door. The Salvia lit fairly easy compared to previous times and stayed lit so I didn't have to keep the lighter going. I pulled the smoke in hard and fast, held my breath as long as I could and each time I could inhale more I pulled in more smoke. Eventually I exhaled and think I took another hit off the pipe.
Amnesia-
One moment I was standing at the door, lights were on in the living room and kitchen, the TV was still on in the living room, lighter and pipe in hand. The next memory I have is a vague recollection of getting a drink of water. At that point I already had amnesia of the previous few minutes and was confused about how I ended up getting the drink. The glass was still half full the next day.
After that I was in the living room but the TV and lights were off. I couldn't figure out how that happened, in fact I couldn't figure out how anything happened, I had almost total amnesia.
I remembered at some point that I had taken mushrooms, salvia, etc. Checked my hands to see where my pipe and lighter were. They turned out to still be by the back door (I don't remember how I got there to find them). Pipe and lighter were both on the floor, and there is now a burn mark in the carpet. I managed to put them in the kitchen but then found myself in the living room naked with Salvia sweats (I always sweat profusely on Salvia, and am usually back to normal once finished sweating/ about 15 minutes total). I could/ can recall a dissociated image of myself, as if looking from behind myself, taking my shirt off but that's about it...
Eventually there was music playing from my computer, which I somehow turned off, and I found myself wearing jogging pants.
The night continued like that until after the sun was up (Long past the normal 15 - 20 minute salvia trip). The amnesia may have been related to the....
Hallucinations-
The night was filled with visual and tactile hallucinations. It seemed like there were curtains opening and closing everywhere around me. There were many different textures and thicknesses, mostly greyish - cream coloured. Most of the hallucinated curtains opened with normal curtain opening effort; however, I also remember feeling like I had to struggle with quite a few, as though they were thick, wrapping around and pulling at me.
As I drown in an endless sea of curtains, I caught glimpses of the rooms I was in. The rooms around me seemed a great deal smaller, sideways, and off colour/ yellowish. I couldn't identify exits and at times it looked as though I was in my grandparent's basement from my childhood.
Perceptions -
Most important to me was the way that I was perceiving things. I remember completely losing track of time. I still had an idea that time was passing but was unable to get an idea of what that meant or any measurement of it. I perceived and identified things as being very compartmentalized - People watch and listen to TV and computer for entertainment and information, a chair is for sitting on, the floor for standing and walking on, the house is for being inside and is inside a city, which is inside a province, inside a country, etc. But I couldn't make sense of why any of that was.
Everything around me (especially organization and patterns) seemed even more strange and useless to me than normal and the hallucinations seemed more real. I remember that the TV and computer seemed particularly bothersome, almost irritatingly useless. With the amnesia and occasional awareness of changes in location etc, I had a strong sense of 'being' in a different part of my brain. Realizing that I was moving around and making decisions without being consciously aware of those decisions and instead being aware of perceptions/ ideas that would normally not exist or would go unnoticed.
Being unable to simply switch back to 'ordinary' perceptions of things at will and not being able to determine how I was behaving physically I also had a strong sense that in such a state there could be two possibilities,
A) Not being sure of what was going on in my physical environment - I may be behaving abnormally in accordance with my current perceptions and hallucinations. In which case an onlooker would know that I was unable to function in a 'normal' societal situation and that I may even be unable to physically take care of myself (i.e. in case of an emergency).
<< or>>
B) As to the best of my knowlege nothing seems to have broken and I don't believe that there were any noise complaints from my wife etc. - I may be behaving somewhat 'normally' externally. In which case it could appear that I knew what I was doing despite that I clearly did not.
I then wondered if anybody was experiencing and perceiving 'reality' as similarly as it seems or if we would even really know one way or the other (not a foreign thought for me). It occurred to me that if my brain injury had been more severe I could have found myself stuck in a part of my brain such as this, stressful and extremely different from what I had considered 'normal'. It also occurred to me that, in that case, people may or may not have been able to truly identify or understand the situation.
I suddenly found myself with a great deal of compassion for those with severe mental illness. It was probably largely influenced by watching 'Girl Interrupted' (which is why I mentioned it earlier). I have a new appreciation for my mind and the functionality of my brain. My own experiences with mental issues now seem quite trivial as I wonder at the way in which some people may be experiencing life.
Side effects-
While I describe the hallucinations with a certain amount of dispassion it was fairly terrifying being unable to find an exit to the 'endless sea of curtains' draping around me and overall very stressful. Also the sensation was not comfortable. Despite that they were imagined, some of the curtains seemed course and rough, some were heavy, and some felt like cold plastic with slightly sharp edges, etc. I recall having some indigestion (not too severe) which was not too uncommon for me when experimenting with mushrooms and alcohol in my youth.
Roughly 8 - 9 hours later (although I'm not really sure what time I actually sobered up and went to sleep, I do know that the sun was up) I took a bath and started tripping out again. I quickly got out of the bath tub and worried that I was about to have a bad flashback or another bad trip. I jumped into bed and instead of having trouble I just enjoyed a floating sensation slightly glowing walls and ceiling. It ended about half an hour to 45 minutes later.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


Vivek Thakur
Maker
Clean Code Enthusiast
Here's What I do
My Skills
HTML
Java
Object oriented Javascript
Responsive Design
Drop me a line
at<EMAIL_ADDRESS>or
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or
Github


com.ltsllc.miranda.node.states
Classes
ConnectingState
JoiningState
NewNodeState
NodeDisconnectingState
NodeIncomingStartState
NodeReadyState
NodeStartState
NodeState
NodeStoppingState
RetryingState
TestConnectingState
TesterNodeState
TestJoiningState
TestNewNodeState
TestNodeDisconnectingState
TestNodeIncomingStartState
TestNodeReadyState
TestNodeStartState
TestNodeState
TestNodeStoppingState
TestRetryingState


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Chocolate and peanutbutter, need I say more?
Steps:
Step 1: Fill the bottom of a double boiler with water and let it come to a boil
Step 2: Make the peanutbutter by combining the 2Tbsp. of PB2 with 1 Tbsp. of water and mix them together
Step 3:Once the water has come to a boil, add the chocolate morsels to the top part of the double boiler
Step 4:Make sure you are stirring the chocolate so it does not burn!
Step 5:Grease the pan
Step 6:Fill the cupcake pan half way with chocolate
Step 7:Add a scoop of peanutbutter to each cup
Step 8:Cover the peanutbutter with the remaining chocolate and enjoy!


Move the slider to animate the paths of commuters during each hour of a typical day. Orange lines represent the shortest paths between the Princess Noura campus and the commuter origin/destination hotspots. The size of the blue hotspots is based on the number of commuters flowing through each day.
COMMUTING FROM PRINCESS NOURA UNIVERSITY
6:00
COMMUTING TO PRINCESS NOURA UNIVERSITY
The visualizations show "hotspots of the origins/ destinations, the size of which represents the estimated number of commuters that start, and end, at each location.
These two complementary visualizations map out the hour-by-hour travel flows of the women university students to and from the Princess Noura University, based on aggregated Call Detail Records (CDR).
The visualizations show "hotspots of the origins/ destinations, the size of which represents the estimated number of commuters that start, and end, at each location.
A "shortest path" analysis was used to map out the approximate route that most commuters may choose. The thickness of the lines represents the corresponding number of estimated commuters travelling towards and from the University along those routes.


Class: Aws::Rekognition::Types::FaceDetail
| Relationships & Source Files | |
| Super Chains via Extension / Inclusion / Inheritance | |
|
Class Chain:
self,
Struct
|
|
|
Instance Chain:
self,
Struct
|
|
| Inherits: |
Struct
|
| Defined in: | (unknown) |
Overview
Structure containing attributes of the face that the algorithm detected.
Returned by:
Instance Attribute Summary
-
#age_range ⇒ Types::AgeRange
rw
The estimated age range, in years, for the face.
-
#beard ⇒ Types::Beard
rw
Indicates whether or not the face has a beard, and the confidence level in the determination.
. -
#bounding_box ⇒ Types::BoundingBox
rw
Bounding box of the face.
. -
#confidence ⇒ Float
rw
Confidence level that the bounding box contains a face (and not a different object such as a tree).
. -
#emotions ⇒ Array<Types::Emotion>
rw
The emotions detected on the face, and the confidence level in the determination.
-
#eyeglasses ⇒ Types::Eyeglasses
rw
Indicates whether or not the face is wearing eye glasses, and the confidence level in the determination.
. -
#eyes_open ⇒ Types::EyeOpen
rw
Indicates whether or not the eyes on the face are open, and the confidence level in the determination.
. -
#gender ⇒ Types::Gender
rw
Gender of the face and the confidence level in the determination.
. -
#landmarks ⇒ Array<Types::Landmark>
rw
Indicates the location of the landmark on the face.
. -
#mouth_open ⇒ Types::MouthOpen
rw
Indicates whether or not the mouth on the face is open, and the confidence level in the determination.
. -
#mustache ⇒ Types::Mustache
rw
Indicates whether or not the face has a mustache, and the confidence level in the determination.
. -
#pose ⇒ Types::Pose
rw
Indicates the pose of the face as determined by pitch, roll, and the yaw.
. -
#quality ⇒ Types::ImageQuality
rw
Identifies image brightness and sharpness.
. -
#smile ⇒ Types::Smile
rw
Indicates whether or not the face is smiling, and the confidence level in the determination.
. -
#sunglasses ⇒ Types::Sunglasses
rw
Indicates whether or not the face is wearing sunglasses, and the confidence level in the determination.
.
Instance Attribute Details
#age_range ⇒ Types::AgeRange (rw)
The estimated age range, in years, for the face. Low represents the lowest estimated age and High represents the highest estimated age.
#beard ⇒ Types::Beard (rw)
Indicates whether or not the face has a beard, and the confidence level in the determination.
#bounding_box ⇒ Types::BoundingBox (rw)
Bounding box of the face.
#confidence ⇒ Float
(rw)
Confidence level that the bounding box contains a face (and not a different object such as a tree).
#emotions ⇒ Array
<Types::Emotion> (rw)
The emotions detected on the face, and the confidence level in the determination. For example, HAPPY, SAD, and ANGRY.
#eyeglasses ⇒ Types::Eyeglasses (rw)
Indicates whether or not the face is wearing eye glasses, and the confidence level in the determination.
#eyes_open ⇒ Types::EyeOpen (rw)
Indicates whether or not the eyes on the face are open, and the confidence level in the determination.
#gender ⇒ Types::Gender (rw)
Gender of the face and the confidence level in the determination.
#landmarks ⇒ Array
<Types::Landmark> (rw)
Indicates the location of the landmark on the face.
#mouth_open ⇒ Types::MouthOpen (rw)
Indicates whether or not the mouth on the face is open, and the confidence level in the determination.
#mustache ⇒ Types::Mustache (rw)
Indicates whether or not the face has a mustache, and the confidence level in the determination.
#pose ⇒ Types::Pose (rw)
Indicates the pose of the face as determined by pitch, roll, and the yaw.
#quality ⇒ Types::ImageQuality (rw)
Identifies image brightness and sharpness.
#smile ⇒ Types::Smile (rw)
Indicates whether or not the face is smiling, and the confidence level in the determination.
#sunglasses ⇒ Types::Sunglasses (rw)
Indicates whether or not the face is wearing sunglasses, and the confidence level in the determination.


GenGaussian
Authors : David Churches
Input Types :
None
Output Types :
SampleSet
Version: 1.0
Date : 8th December 2003
Contents
Description of GenGaussian
The unit called GenGaussian generates normally distributed random numbers
The output data type is a SampleSet.
The random numbers are normally distributed with a mean and standard
deviation that are set by the user in the parameter window. The default
mean is 0.0, and the default standard deviation is 1.0. The random numbers
are calculated by Java's Random class.
Using GenGaussian
Users should open the parameter window to set the mean and standard deviation
of the random numbers. These may be set by typing
numbers in the data-entry box. The user can also set the number of data points and the sampling rate of the output
SampleSet.
The parameter window is shown here:


Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s
Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s
| S.no | Name | Age |
|---|---|---|
| 1 | PERSON 1 | 13 |
| 2 | PERSON 2 | 13 |


|
metaL/py
|
**metaL is a method of programming* in Python (or any other language you prefer: JS, PHP,...)
metaL
works over two key features:
That's why DML/DDL syntax parser is not required and is the only an optional feature: parser was left there just to be a demo of the third magic feature of the metaL
:
All metaL
structures can be defined directly in the host language (Python), the syntax parser is only a way to do it more simplified and to work in symbiosis with Python REPL + VSCode. VSCode has the ability to send selected parts of code from a text editor to a terminal with running REPL. This sending has some disadvantage: Python's input()
function can input only a single string, so when we send a text from a VSCode, we can't detect was it a single line or multiple lines text block. So, the syntax was chosen single-lined. It also points, that DML/DDL in metaL is not a programming language, it's a language of CLI commands.
As we can use code generation for producing transformations in a host language, it is possible to leave metaL without interpreter eval()/apply()
core (user-defined functions and continuations), which are complex to understand and implement for the newbie language designer. User function (method, new user type class) can be specified, translated into host language without its execution, resulting code should be pasted into metaL.py, and finally system restarts with this new working transformation. As metaL
were primarily designed for work with interactive code generation, such system redefinition method is suitable for use, especially if we'll have metaL [metacircular implementation] in the system release.


If you went through Kubernetes 101, you learned about kubectl, pods, volumes, and multiple containers. For Kubernetes 201, we will pick up where 101 left off and cover some slightly more advanced topics in Kubernetes, related to application productionization, deployment and scaling.
In order for the kubectl usage examples to work, make sure you have an examples directory locally, either from a release or the source.
Having already learned about Pods and how to create them, you may be struck by an urge to create many, many pods. Please do! But eventually you will need a system to organize these pods into groups. The system for achieving this in Kubernetes is Labels. Labels are key-value pairs that are attached to each object in Kubernetes. Label selectors can be passed along with a RESTful list
request to the apiserver to retrieve a list of objects which match that label selector.
To add a label, add a labels section under metadata in the pod definition:
labels:
app: nginx
For example, here is the nginx pod definition with labels (pod-nginx-with-label.yaml):
pod-nginx-with-label.yaml |
|---|
|
Create the labeled pod (pod-nginx-with-label.yaml):
$ kubectl create -f docs/user-guide/walkthrough/pod-nginx-with-label.yaml
List all pods with the label app=nginx
:
$ kubectl get pods -l app=nginx
For more information, see Labels. They are a core concept used by two additional Kubernetes building blocks: Replication Controllers and Services.
OK, now you know how to make awesome, multi-container, labeled pods and you want to use them to build an application, you might be tempted to just start building a whole bunch of individual pods, but if you do that, a whole host of operational concerns pop up. For example: how will you scale the number of pods up or down and how will you ensure that all pods are homogenous?
Replication controllers are the objects to answer these questions. A replication controller combines a template for pod creation (a “cookie-cutter” if you will) and a number of desired replicas, into a single Kubernetes object. The replication controller also contains a label selector that identifies the set of objects managed by the replication controller. The replication controller constantly measures the size of this set relative to the desired size, and takes action by creating or deleting pods.
For example, here is a replication controller that instantiates two nginx pods (replication-controller.yaml):
replication-controller.yaml |
|---|
|
Create an nginx replication controller (replication-controller.yaml):
$ kubectl create -f docs/user-guide/walkthrough/replication-controller.yaml
List all replication controllers:
$ kubectl get rc
Delete the replication controller by name:
$ kubectl delete rc nginx-controller
For more information, see Replication Controllers.
Once you have a replicated set of pods, you need an abstraction that enables connectivity between the layers of your application.  Likewise, if the pods in your backends are scheduled (or rescheduled) onto different machines, you can’t be required to re-configure your front-ends. In Kubernetes, the service abstraction achieves these goals. A service provides a way to refer to a set of pods (selected by labels) with a single static IP address. It may also provide load balancing, if supported by the provider.
For example, here is a service that balances across the pods created in the previous nginx replication controller example (service.yaml):
service.yaml |
|---|
|
Create an nginx service (service.yaml):
$ kubectl create -f docs/user-guide/walkthrough/service.yaml
List all services:
$ kubectl get services
On most providers, the service IPs are not externally accessible. The easiest way to test that the service is working is to create a busybox pod and exec commands on it remotely. See the command execution documentation for details.
Provided the service IP is accessible, you should be able to access its http endpoint with curl on port 80:
$ export SERVICE_IP=$(kubectl get service nginx-service -o go-template=)
$ export SERVICE_PORT=$(kubectl get service nginx-service -o go-template'=')
$ curl http://${SERVICE_IP}:${SERVICE_PORT}
To delete the service by name:
$ kubectl delete service nginx-service
When created, each service is assigned a unique IP address. This address is tied to the lifespan of the Service, and will not change while the Service is alive. Pods can be configured to talk to the service, and know that communication to the service will be automatically load-balanced out to some pod that is a member of the set identified by the label selector in the Service.
For more information, see Services.
When I write code it never crashes, right? Sadly the Kubernetes issues list indicates otherwise…
Rather than trying to write bug-free code, a better approach is to use a management system to perform periodic health checking and repair of your application. That way a system outside of your application itself is responsible for monitoring the application and taking action to fix it. It’s important that the system be outside of the application, since if your application fails and the health checking agent is part of your application, it may fail as well and you’ll never know. In Kubernetes, the health check monitor is the Kubelet agent.
The simplest form of health-checking is just process level health checking. The Kubelet constantly asks the Docker daemon if the container process is still running, and if not, the container process is restarted. In all of the Kubernetes examples you have run so far, this health checking was actually already enabled. It’s on for every single container that runs in Kubernetes.
However, in many cases this low-level health checking is insufficient. Consider, for example, the following code:
lockOne := sync.Mutex{}
lockTwo := sync.Mutex{}
go func() {
lockOne.Lock();
lockTwo.Lock();
...
}()
lockTwo.Lock();
lockOne.Lock();
This is a classic example of a problem in computer science known as “Deadlock”. From Docker’s perspective your application is still operating and the process is still running, but from your application’s perspective your code is locked up and will never respond correctly.
To address this problem, Kubernetes supports user implemented application health-checks. These checks are performed by the Kubelet to ensure that your application is operating correctly for a definition of “correctly” that you provide.
Currently, there are three types of application health checks that you can choose from:
In all cases, if the Kubelet discovers a failure the container is restarted.
The container health checks are configured in the livenessProbe
section of your container config. There you can also specify an initialDelaySeconds
that is a grace period from when the container is started to when health checks are performed, to enable your container to perform any necessary initialization.
Here is an example config for a pod with an HTTP health check (pod-with-http-healthcheck.yaml):
pod-with-http-healthcheck.yaml |
|---|
|
For more information about health checking, see Container Probes.
For a complete application see the guestbook example.


Reports Gherkin scenarios that contain an
Examples
section.
Use the quick-fix to convert
Scenario
to
Scenario Outline
.


Google Docs for Mac
A standalone Mac wrapper for the suite of Google Drive applications: Doc, Slides and Sheets
Download
Requires macOS 10.13
Use Google Docs as if it were an actual Mac app. Neat!
Lives in the dock
Minimal Window Chrome
Keyboard shorcuts
Download
Requires macOS 10.13


Holiday Gift Guide: 10 Fashion Tech Gifts That Are Stylish And Useful
by Stephan RabimovFashion tech products are entering a new level of style sophistication and seamless user experience. While not yet at Captain Marvel level, the cross between wearable fashion and tech can be a thoughtful holiday gift for those seeking to upgrade the most basic fashion accessories. The following 10 fashion tech products are ideal for the person in your life who enjoys fashion and function.Eyewear
These sunglasses which come in either angular or round lenses are designed for the music lover on the go. Not only do these come in two distinct frames that can fit most faces, they provide an enjoyable personal listening experience. The technology makes it so that only the wearer can hear the rich Bose quality sound. Made out of nylon and metal, its strength makes it a durable gift. Concerned about the lenses? They also provide UV protection.
While there aren’t many smart glasses on the market, Focals is one of the best looking that doesn’t make you look like you stepped out of a 90’s sitcom. With a continual heads up display which keeps you looking up and not down at your phone, it provides freedom from glancing at your phone for hours. The customized notification set by the wearer can only be seen by them in their right lens. These glasses can either be prescription or non prescription and the lenses are scratch-resistance, and have UV protection.
Rings
Not a smart watch fan but still want to monitor your fitness? This ring provides health tracking capability while coming in Rose Gold, Silver, and Black tones. It boasts a three day battery life and monitors steps, distance, heart rate, activity, calories burned, and sleep. Compatible with both iPhones and Androids, this ring is ideal for the fashion minimalist.
When it comes to health, sleep is often overlooked. Oura addresses this important data point in your quality of life while coming in Silver, Black, Stealth, or Diamond. Oura tracks sleep activity while providing specific scores based on quality of sleep and overall readiness that includes previous night, sleep balance, among other indicators. With an app that links to your phone’s health app, you can get a more wholesome picture of your overall health status.
In a connected world, where we are increasingly concerned with safety, Nimb is a stylish and discreet safety button. If you’re ever in trouble and/or need emergency help, just press the button and an alert goes out to your safety circle as well as a dispatch to emergency services. This alert provides your location and information that will be used to help in any emergency situation.
Bracelets & Necklaces
Don’t want to have something on your finger? Then Ringly bracelet is a tasteful compromise. Connecting to over 200 apps and compatible with iPhones and Androids, this bracelet alerts for notifications and promotes a healthy lifestyle which includes meditation and breathing exercises. With a battery that lasts between 1 to 2 days, this might not have all the power as the smartwatches but still allows your leave your phone out of sight.
Tired of searching for a charger while out? This stylish bracelet is also a charger for those who are always on the go. Helpful while traveling or on those long work meeting days when you are running low on battery power. This product is compatible with Apple and Android.
A product that specifically focuses on women’s health? Now that’s a smart idea! With a 6-month battery life, it tracks activity, sleep, stress, meditation, as well as reproductive health. The results can be viewed on your phone as the tracker doesn’t have a screen. The Leaf Urban can be worn as a necklace, bracelet, or just as a clip that offers the ultimate freedom on how to style it.
Other Fashion Tech Gift Ideas
Now imagine always having a speaker with you: with a combination of a bluetooth speaker + mini-clutch, your fashion bag is ready to play music wherever you decide to bring it. BYOS - bring your own sound could be the fashion’s next viral acronym.
Prefer a smartwatch that isn’t made by Apple or Samsung then check out the watches from Michael Kors. MK watches are traditional by design, yet with an added layer of technology; they are compatible with iPhone and Android phones. Powered by Google, these watches provide all the alerts, notifications, and tracking that one might possibly want without an obvious smartwatch on their wrist.


Interface IRuleKeeper
Namespace: SudokuSpice.RuleBased
Assembly: SudokuSpice.dll
Syntax
public interface IRuleKeeper
Methods
| Improve this Doc View SourceCopyWithNewReferences(IReadOnlyPuzzleWithMutablePossibleValues)
Creates a deep copy of this rule keeper, including copies of any IRules it contains, with updated internal IReadOnlyPuzzleWithMutablePossibleValues.
Declaration
IRuleKeeper CopyWithNewReferences(IReadOnlyPuzzleWithMutablePossibleValues puzzle)
Parameters
| Type | Name | Description |
|---|---|---|
| IReadOnlyPuzzleWithMutablePossibleValues | puzzle | The new puzzle reference. Should contain the same data as the current puzzle instance. |
Returns
| Type | Description |
|---|---|
| IRuleKeeper |
GetRules()
Gets the IRules enforced by this rule keeper.
Declaration
ReadOnlySpan<IRule> GetRules()
Returns
| Type | Description |
|---|---|
| System.ReadOnlySpan<IRule> |
TryInit(IReadOnlyPuzzleWithMutablePossibleValues)
Tries to initialize this rule keeper to solve the given puzzle.
When reusing a rule keeper to solve multiple puzzles, this must be called with each new puzzle to be solved.
Declaration
bool TryInit(IReadOnlyPuzzleWithMutablePossibleValues puzzle)
Parameters
| Type | Name | Description |
|---|---|---|
| IReadOnlyPuzzleWithMutablePossibleValues | puzzle | The puzzle to be solved. |
Returns
| Type | Description |
|---|---|
| System.Boolean | False if the rule keeper couldn't be initialized, for example if the puzzle already violates one of the rules. Else returns true. |
Remarks
In general, it doesn't make sense to want to maintain the previous state if this method fails. Therefore, it is not guaranteed that the rule keeper's state is unchanged on failure.
TrySet(Coordinate, Int32)
Updates possible values based on setting the given coordinate to the given value. If this update fails (i.e. it leads to an unset square with no possible values), then it returns false and leaves the possible values unchanged.
Declaration
bool TrySet(in Coordinate c, int value)
Parameters
| Type | Name | Description |
|---|---|---|
| Coordinate | c | The coordinate to update. |
| System.Int32 | value | The value to set |
Returns
| Type | Description |
|---|---|
| System.Boolean | True if the possible values have been updated and the rules are still satisfied. |
Unset(Coordinate, Int32)
Undoes an update for the given value at the specified coordinate.
Declaration
void Unset(in Coordinate c, int value)
Parameters
| Type | Name | Description |
|---|---|---|
| Coordinate | c | The coordinate where a value is being unset. |
| System.Int32 | value | The value being unset. |


“If you would convince a man that he does wrong, do right. But do not care to convince him. Men will believe what they see. Let them see.”
― Henry David Thoreau
In this example, I will try to demonstrate processing image data in Python IDE and find some analyticities from it. This demo was built and tested on Anaconda Navigator -> Spyder -> Python 3.x compilier. This code is also expeceted to run on any Python 3.x compilier with having instralled the modules needed to run this code accordnigly. Please note that the example is for demo purpose only, it doesn’t assure accuracy.
So, our goal is to compare two satellite images of the same lactation provided by The United States Geological Survey(USGS). The first image given to us is the image that was before flooding and the second image was given to us is after flooding. Let’s name first as the 2015.png and second image as the 2016.png.
2015.png
2016.png
Now, we’ll load both of those images using Python IDE for our analysis to find how much of the area has been flooded by excluding water and lakes shown in the first image. The code will basically turn all those green pixels in the first image (2015.png) into red and count how many pixels are in red or in other words assigning the red value to green pixels. Also, it is taking the blue value>.90 to measure the water. For the second image(2016.png) it assigning the green value which will also turn all the blue pixels into the red.
result.png
What’s more… our reliance on data is becoming a more common factor in our lives. Any social media that we use is data. Most of the research that we do are based on data. The growth of the business can be based on data. Historical data is helping us look back in past and move forward to future. For example, the evaluation of the automobile, weather data, and etc.
Number of RED Pixels: 18198, Number of All Pixels: 639600
Number of Blue Pixels: 3883, Number of All Pixels: 639600
Percentage of river/lake 0.607098186366479%
Percentage of water area after the flood including river/lake: 2.845215759849906%
Actual percentage of land that were flooded 2.238117573483427%


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Experienced software developer and motivated self-learner skilled in Java EE development, having worked with many technologies (Spring, Maven, SQL/RDMS, Tomcat, etc.)
while building RESTful enterprise applications.
Strong educational background with a 1st class degree in Computer Science with Artificial Intelligence from the University of Nottingham. Intermediate Japanese language skills
and a dedicated team-player with lots of international experience, having worked in the UK, Netherlands, and Japan.
Maintained programming skills through personal side-projects.
Taught students conversational English, guiding and mentoring them both in groups and individually.
Developed an aysnchronous, responsive web application using Java / Apache Wicket and JavaScript / Bootstrap to demonstrate the best practice usage of Fredhopper software to company clients.
Using Java (chiefly with Spring and Maven), JavaScript, and PostgreSQL, developed various client/server back-end applications, from responsive reporting of company FOBT machines using overnight batch-jobs, to a time-critical, load-balanced lottery ticket selection system that took the company into new international markets.
Implemented a cloud-based back-end along with an Android and web-based client for image-matching software written for my dissertation.
A simple system for downloading and parsing online Japanese articles, to aid in Japanese vocabulary study.
A centralised time-critical system for 'handing out' lottery tickets to FOBT machines over a network, giving the machine a set of win/loss states.
Search a user's phone / web-server for images matching what the user draws using a simple painting application. Matching scores come from a heuristics-based algorithm.
1st Class (Honours)
Offered internship by my professor
Solving problems, learning, and enjoying life. I like spending a lot of my free time improving myself and learning, whether that be studying algorithms or learning a new language. I'm currently doing a project mixing my passions, writing a system to help myself and others improve their Japanese by fetching and parsing content from various web sources.
Aside from learning and programming, when the weather is good you can find me outside enjoying nature, snowboarding in the winter, snorkelling in the summer, and hiking or cycling any season. When the weather is not so good, you'll find me reading books or editing photos.