Anal cancer on the rise in the US
by NBC News(NBC NEWS) – The United States is experiencing a “dramatic and concerning” rise in the rate of new anal cancer cases and deaths from the disease, particularly among young black men and elderly women, researchers reported Tuesday.
The incidence of squamous cell carcinoma of the anus — the most common type of anal cancer — rose 2.7 percent per year over a recent 15-year period, while anal cancer mortality rates increased 3.1 percent per year during that time.
At this rate, the disease can be considered as one of the fastest accelerating causes of cancer incidence and mortality in the U.S., said the study’s lead author Ashish Deshmukh, an assistant professor at the UTHealth School of Public Health in Houston.
“The rates are increasing very rapidly,” Deshmukh told the “Today” show. “It’s concerning. Traditionally, our perception of anal cancer has been that it’s one of the rarest forms of cancer and because of that, it’s neglected.”
Actress Farrah Fawcett, who died of the disease in 2009, was one of the first high-profile patients to talk about her diagnosis publicly.
Among some of the startling statistics: The risk of developing anal cancer was five times higher for black men born in the mid-1980s compared to those born in the mid-1940s. That may be because young black men are disproportionately affected by HIV, which raises the risk for developing the cancer, Deshmukh said.
The risk doubled among white men and white women born after 1960. The disease may surpass cervical cancer to become the leading human papillomavirus-linked cancer in elderly women, the study noted. One possible reason: Older people have weaker immune systems, impairing their ability to clear HPV from their bodies, and elderly women outnumber elderly men.
The proportion of cases diagnosed when the cancer had already spread to other parts of the body doubled, which suggests the rise in cases isn’t driven by more intense screening that would catch early-stage tumors, Deshmukh noted.
“It’s really hard to understand what might be causing the rise in incidence and mortality,” he added. Possible reasons include more risky sexual behavior in recent decades and the rise in obesity rates, which could be a factor, he said.
For the study, published in the Journal of the National Cancer Institute, researchers analyzed data in U.S. cancer registries from 2001 through 2015. They also looked at causes of death from a database compiled by the National Center for Health Statistics over that time.
They found 68,809 cases of anal cancer and 12,111 deaths from the disease.
The vast majority of these cases are associated with the human papillomavirus, but about three-quarters of American adults don’t know HPV causes the disease, a recent study, also led by Deshmukh, found.
He called the findings “shocking.”

It develops when malignant cells form in the tissues of the anus.
About 6,530 people are diagnosed with anal cancer each year, with 91 percent of the cases believed to be caused by HPV, according to the Centers for Disease Control and Prevention.
How to prevent HPV-related cancers
HPV is the most common sexually transmitted infection in the U.S. Most sexually active adults in their 20s have been exposed to it, but for most, the infections clear up without causing harm, NBC News medical contributor Dr. Natalie Azar said.
It’s important to remember the vast majority of people who have it don’t get anal cancer, the American Cancer Society said.
HPV also causes almost all cervical cancers and many cancers of the vagina, vulva and penis.
An HPV vaccine is available to protect against harmful strains of the virus and it’s the only vaccine that actually prevents cancer. The earlier you get it, the more effective it is, said Dr. Alanna Levine, a pediatrician and the spokeswoman for the American Academy of Pediatrics. She recommended it for both boys and girls. “It’s made an incredible difference,” she said.
What are the risk factors for anal cancer?

They can be uncomfortable to talk about with a doctor, but early detection is key:
Bleeding from the anus or rectum, which is often the first sign of the disease
Pain or pressure in the area around the anus
Itching or discharge
A lump near the anus
A change in bowel movements, like narrowing of stools
How is the cancer diagnosed?
It’s often found when a doctor performs a digital rectal examination — inserting a gloved, lubricated finger into the lower part of the rectum to feel for lumps. That’s how actress Marcia Cross’ cancer was discovered during a routine medical appointment. She credits it for saving her life.
Thin, flexible instruments with lights and cameras can also help doctors take a closer look at any suspicious spots and a biopsy can determine if cancer is present.
Imaging scans are used to find if the cancer has spread to other parts of the body.
What is the treatment?
It depends where the tumor is located and whether it has metastasized.
Standard treatment includes radiation, chemotherapy and surgery to remove the tumor.
Doctors can also remove the anus, the rectum and part of the colon in a major operation called an abdominoperineal resection.
It’s used only if other treatments don’t work or if the cancer comes back after treatment, according to the American Cancer Society.
What is the outlook for patients?
As with all cancers, early detection is extremely important. More than 80 percent of patients whose anal cancer had not spread lived for at least five more years after diagnosis. That number dropped to 30 percent when the cancer had spread to the liver or lungs.
More International News Stories
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An inmate ran an online scam from prison and made $1 million, authorities say November 20, 2019
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French pregnant woman fatally mauled by pack of dogs in woods: report November 20, 2019
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New York sues e-cigarette firm Juul for targeting youngsters November 20, 2019
-
French nationality remains best in the world, while Brexit Britain risks a dramatic decline November 20, 2019
-
Vaping illness cases rise again, to 2,172, CDC says November 19, 2019
-
Britain’s ‘first gay dads’ split after one starts dating daughter’s ex November 19, 2019
-
NYPD cop in fatal crash got at least 10 traffic citations this year November 19, 2019
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At least three dead after Oklahoma Walmart shooting November 19, 2019
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Vegan parents accused of starving 18-month-old son to death on raw food diet November 19, 2019


Preparation time
less than 30 mins
Cooking time
10 to 30 mins
Serves
Makes 12 slices
Dietary
The traditional Victoria sandwich is a baking classic and a tasty tea-time treat.
Preheat the oven to 180C/350F/Gas 4. Grease and line 2 x 20cm/8in sandwich tins. (Use a piece of baking paper to rub a little baking spread or butter around the inside of the tins until the sides and base are lightly coated then line the bottom of the tins with a circle of baking paper.
Break the eggs into a large mixing bowl, then add the sugar, flour, baking powder and baking spread. Mix everything together until well combined with an electric hand mixer (you can also use a wooden spoon) but be careful not to over mix. Put a damp cloth under your bowl when you’re mixing to stop it moving around. The finished mixture should fall off a spoon easily.
Divide the mixture evenly between the tins: this doesn’t need to be exact, but you can weigh the filled tins if you want to check. Use a spatula to remove all of the mixture from the bowl and gently smooth the surface of the cakes.
Place the tins on the middle shelf of the oven and bake for 25 minutes. Don't be tempted to open the door while they're cooking, but after 20 minutes do look through the door to check them.
The cakes are done when they’re golden-brown and coming away from the edge of the tins. Press them gently to check – they should be springy to the touch. Remove them from the oven and set aside to cool in their tins for five minutes. Then run a palette or rounded butter knife around the inside edge of the tin and carefully turn the cakes out onto a cooling rack.
To take your cakes out of the tins without leaving a wire rack mark on the top, put the clean tea towel over the tin, put your hand onto the tea towel and turn the tin upside-down. The cake should come out onto your hand and the tea towel – then you can turn it from your hand onto the wire rack. Set aside to cool completely.
To assemble the cake, place one cake upside down onto a plate and spread it with plenty of jam. If you want to, you can spread over whipped cream too. Top with the second cake, top-side up. Sprinkle over the caster sugar.
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Removing cakes from a cake tin
You need JavaScript to view this clip.
Testing to see if a cake is cooked


Tokyo Machine has been featured on Rocket LEagues songs playlist several times and has seen an increase in popularity from players since being featured.


A collection of side-projects over a period of time. There are network utilities, mobile applications, chrome extensions, web pages, and sometimes simply experiments.
Source: link
A key-stroke biometric authenticator for Android, which uses machine learning on various signals such as the typing heatmap, area of touch, pressure and so on to authenticate users. The current model is around 70% accurate. This was a Hackathon project at HackGT 2015.
Project: link
Chrome Webstore: link
A Google Chrome extension that simplifies the user experience and reduces the learning curve for diverse user interfaces on the web. WebBro won the Microsoft Prize for the best use of Azure Cloud Technology at TAMUHack 2014.
Source: link
Chrome Webstore: link
A chrome extension that uses Soundcloud's API and presents an embedded music player, along with search and genre functionality. An extension I use to this day!
Google Play: link
Source: link
A time tracking todo-list to keep track of productivity. It was an experiment to explore ActionbarSherlockFragments, ViewPagers, TabHosts and aChartEngine
Source: link
A python-based implementation of a bot for the IRC protocol which counts the incidence of certain words on a channel. It was used to create a monitor to help find the relative popularity of various programming langauges on freenode channels.
Source: link
A content manangement system for TAMU faculty to showcase their research and areas of interest. I served as Scrum Master and principal developer on this project.
Source: link
A chrome extension that adds tagging and retrieval for bookmarks. It can act as as substitute for tools like Pocket that manage and categorize bookmarks.
Port Monitoring Tool: link
IP Address Manager: link
Tooling in Visual Basic .NET to facilitate easier management and monitoring of windows networking.
Source: link
An application that allows emulation of users of XMPP services and generates replies using an implementation of first order Markov Chains.


What is it all about?
Imagine sitting at your computer and controlling a video game
character through a mall or market. isn't it fun? Imagine How AI &
IOT will transform industries. What is your contribution to make
life easier, faster and smarter without giving up values of
sustainability, eco-friendliness and culture? Amrita is providing an
opportunity to Young and Talented minds to showcase their young
talents, ideas and creativity.
Topics
Solution Squa
Solution Squads Topics are mainly related to the solution for preventing and making an easy life for the problems faced
by humans in their day today life
Disaster Prevention & Warning system
Green Energy Solutions
Cybersecurity Solutions
Smart waste & Waste management system
Contagious Intelligence
IOT
AI for Common Man
Robotics & Drone Technologies for Societal Benefit
Future Trends In science & Technology
Integrated Multi Model Transport System
Earth Warriors
Harnessing Solar Power
Smart Framing & Agriculture
Smart Pollution Management
Sustainable Environment


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--- layout: default ---
Welcome to the Delphi Tips micro-site.
There are over 200 Delphi Tips here. Choose them from the list below.
The tips were taken from the old version of the DelphiDabbler website. The new version of the site does not yet host the tips and in fact links to here.


| laeken-package | Estimation of Indicators on Social Exclusion and Poverty |
| arpr | At-risk-of-poverty rate |
| arpt | At-risk-of-poverty threshold |
| bootVar | Bootstrap variance and confidence intervals of indicators on social exclusion and poverty |
| calibVars | Construct a matrix of binary variables for calibration |
| calibWeights | Calibrate sample weights |
| eqInc | Equivalized disposable income |
| eqSS | Equivalized household size |
| eusilc | Synthetic EU-SILC survey data |
| fitPareto | Fit income distribution models with the Pareto distribution |
| gini | Gini coefficient |
| gpg | Gender pay (wage) gap. |
| incMean | Weighted mean income |
| incMedian | Weighted median income |
| incQuintile | Weighted income quintile |
| is.arpr | Utility functions for indicators on social exclusion and poverty |
| is.gini | Utility functions for indicators on social exclusion and poverty |
| is.gpg | Utility functions for indicators on social exclusion and poverty |
| is.indicator | Utility functions for indicators on social exclusion and poverty |
| is.prop | Utility functions for indicators on social exclusion and poverty |
| is.qsr | Utility functions for indicators on social exclusion and poverty |
| is.rmpg | Utility functions for indicators on social exclusion and poverty |
| laeken | Estimation of Indicators on Social Exclusion and Poverty |
| meanExcessPlot | Mean excess plot |
| minAMSE | Weighted asymptotic mean squared error (AMSE) estimator |
| paretoQPlot | Pareto quantile plot |
| paretoScale | Estimate the scale parameter of a Pareto distribution |
| paretoTail | Pareto tail modeling for income distributions |
| plot.paretoTail | Diagnostic plot for the Pareto tail model |
| print.arpr | Utility functions for indicators on social exclusion and poverty |
| print.indicator | Utility functions for indicators on social exclusion and poverty |
| print.minAMSE | Weighted asymptotic mean squared error (AMSE) estimator |
| print.paretoScale | Estimate the scale parameter of a Pareto distribution |
| print.paretoTail | Pareto tail modeling for income distributions |
| print.rmpg | Utility functions for indicators on social exclusion and poverty |
| prop | Proportion of an alternative distribution |
| qsr | Quintile share ratio |
| replaceOut | Replace observations under a Pareto model |
| replaceTail | Replace observations under a Pareto model |
| replaceTail.paretoTail | Replace observations under a Pareto model |
| reweightOut | Reweight outliers in the Pareto model |
| reweightOut.paretoTail | Reweight outliers in the Pareto model |
| rmpg | Relative median at-risk-of-poverty gap |
| ses | Synthetic SES survey data |
| shrinkOut | Shrink outliers in the Pareto model |
| shrinkOut.paretoTail | Shrink outliers in the Pareto model |
| subset.arpr | Utility functions for indicators on social exclusion and poverty |
| subset.indicator | Utility functions for indicators on social exclusion and poverty |
| subset.rmpg | Utility functions for indicators on social exclusion and poverty |
| thetaHill | Hill estimator |
| thetaISE | Integrated squared error (ISE) estimator |
| thetaLS | Least squares (LS) estimator |
| thetaMoment | Moment estimator |
| thetaPDC | Partial density component (PDC) estimator |
| thetaQQ | QQ-estimator |
| thetaTM | Trimmed mean estimator |
| thetaWML | Weighted maximum likelihood estimator |
| utils | Utility functions for indicators on social exclusion and poverty |
| variance | Variance and confidence intervals of indicators on social exclusion and poverty |
| weightedMean | Weighted mean |
| weightedMedian | Weighted median |
| weightedQuantile | Weighted quantiles |


News story
New and emerging technologies often require innovation in skills delivery. Gateshead College has certainly embraced this vision with the partnership it has forged with Nissan Motors UK.
Nissan is renowned for its links to the North East car industry, and its Sunderland plant won the contract to manufacture 50,000 all electric cars per year, known as the Leading, Environmentally friendly, Affordable, Family (LEAF) car.
It was evident that existing qualifications in the field did not provide what was needed, which led to Gateshead College visiting Nissan’s headquarters in Japan to capture best practice and develop a new bespoke qualification.
The College worked closely with Nissan’s training team and the awarding body EMTA Awards Limited (EAL) to contextualise learning materials and develop two courses:
The focus of the courses was to gain an insight into the whole product cycle from manufacture to sales, after care and recycling - with the objective of equipping the Nissan workforce with a range of new skills.
To date, 540 people have completed the EV1 and 54 completed the EV2.
Learners have reported that understanding the whole EV picture enables them to do their jobs more effectively and efficiently.
The qualification was developed with part funding through the Skills Funding Agency’s Innovation Code and additional funding from Nissan.
The success of the learning outcomes for Nissan’s employees has created interest with other motor manufacturers who face similar challenges in the production of electric vehicles.
Mick Brophy, Managing Director of business, innovation and development at Gateshead College said:
This is a great example of education and industry working together to meet a specific business need. As a trusted partner of Nissan, we had unprecedented access to their base in Japan, giving us a terrific insight into their working practices. This allowed us to work together to develop training aligned to their processes and quality standards.
Barbara Spicer, Interim Chief Executive of the Agency said:
This is where the Innovation Code comes into its own. It allows a college or training organisation to deliver the provision that is needed in their area, without having to wait for a new qualification to be developed – a true ‘rapid response vehicle’. It is about making sure that individuals receive training that is likely to lead to employment; such as an Apprenticeship, or progression within their current place of employment.
Published: 3 April 2014
From: Skills Funding Agency
Part of: Further education and training


{{refimprove|date=May 2013}} {{other uses}}
{{Infobox prepared food | name = Gumdrop | image = | caption = | alternate_name = | country = | region = | creator = | course = | type = Confectionery | served = | main_ingredient = Gelatin or pectin, granulated sugar, flavoring | variations = Spice drops | calories = | other = }} Gumdrops are a type of candy. They are usually brightly colored gelatin- or pectin-based pieces, shaped like a truncated cone and coated in granulated sugar.
Contents |
Gumdrops come in (usually artificial) fruit and spice varieties; the latter are also known as spice drops. Gumdrops, spice drops, and their variations are used in baking, candy crafting, decorating, and for eating out of hand. They are often used for decorating cakes and cupcakes. Around Christmas time, this candy is an ingredient used in making gingerbread houses.<ref>{{cite book|author=Augusten Burroughs|title=You Better Not Cry: Stories for Christmas|url=http://books.google.com/books?id=MMs_XtSo8wMC&pg=PA40|date=27 October 2009|publisher=St. Martin's Press|isbn=978-1-4299-4375-8|page=40}}</ref>
The Apollo 9 Command module was nicknamed "Gumdrop" — not only did it have the appropriate stumpy cone shape, but it arrived at Cape Kennedy in a blue cellophane wrapper.<ref>{{cite book | last =Evans | first =Ben | title =Foothold in the Heavens: The Seventies | publisher =Springer-Verlag | series =Springer Praxis Books / Space Exploration Series | location =New York | date =Aug 25, 2010 | page =100 | isbn =978-1-4419-6341-3}}</ref>
{{reflist}}
{{confection-stub}}


Please provide relevant data for GPCRs as well as other proteins (e.g. G protein, arrestin, nanobodies, peptide ligands etc.) that are included in the simulation.
(A) Protein information is automatically retrieved by its UniProtKB accession number (AC). In case no AC exist, fill in manually the requested information in (B).
(B) Automatically retrieved protein details. In case the protein is not available in UniProtKB the user has to manually provide this information.
(C) In case of mutated proteins, provide the corresponding sequence in the field 'Mutant sequence'. The mutant sequence will be automatically aligned to the previously specified wild type sequence by clicking the 'Align to wild type' button. Check the alignment in the provided pop-up window. Corrections can be done in the 'Sequence alignment' field. Once you confirm a correct alignment, you can retrieve a list of mutations, additions or deletions by clicking the 'Get mutations' button.
By clicking the '+ Add protein' button information about another proteins in the system can be provided. Several proteins can be added in a single submission but at least one must be a GPCR whose sequence must have been deposited to the GPCRdb.
For more information on this form, see the docs.


Source: Star Trek: The Next Generation, 5x28: Déjà Vu
* Separating a speech mixture into multiple speech segments that belong to different speakers
* Challenge lies in separating a mixture which consists of sources of the same domain and from
unknown speakers
Framework
Training the RNN
In order to train an RNN which produces similar embeddings for the same speaker we minimize:
Pulls embeddings of the same class closer together
The training objective $J(Y, V)$ and the $k$-means objective $\gamma$ are small, then
$VV^{\mkern-1.5mu\mathsf{T}} \approx YY^{\mkern-1.5mu\mathsf{T}}$ which leads to $B \approx Y$
Waveform Reconstruction
The matrix $B \in \mathbb{R}^{p \times k}$ from the clustering step can be interpreted as binary mask:
$\mathrm{IBM}_j(t, f)=b_{t(\frac{M}{2}+1)+f,j}$
The spectrum of an individual speaker can be obtained by multiplying the spectrum of the mixture
with the $\mathrm{IBM}$:
$\tilde{S}_j(t,f)=\mathrm{IBM}_j(t,f) \cdot S(t,f)$
With the phase information of the original signal we reconstruct the speech signal $x_j(n)$ using
the inverse STFT and the the overlap-add approach.
Experiments
**Data**
Three data sets are used to test the DC algorithm, each containing 30h training and 5h
evaluation data:
* TIMIT [54] (Texas Instruments + MIT) and WSJ0 [55] (Wall Street Journal), which contain
professional
audio
recordings
* TEDLIUM [56], which contains recordings of TED talks with varying quality.
**Metrics:**
* ISR (Image to Spatial Distortion Ratio)
* SIR (Source to Interference Ratio)
* SAR (Source to Artifact Radio)
* SDR (Source to Distortion Ratio) which combines the above three
Hyperparameters
Experiments
Experiment results for adjusting the learning rate.
Performance A
Example inference on the WSJ0 data set with a male and a female speaker.
Performance B
Example inference on the TIMIT data set with two female speakers.
Performance C
Example inference on the noisy TEDLIUM data set with two male speakers.
Are there concurrently speaking people?
**⇒ Speaker count detection using Order Selection**
Main approaches:
* Determine the distance between the two centers
* Calculate Within Cluster Error (WCE)
Order Selection
(a) Euclidean distance between two centers of the clusters for $k = 2$.
(b) The WCE of a speech signal for $k \in \{1,2\}$.
Visualisation of Clustering
Conclusion and Outlook
* Trained a RNN to produce similar embeddings for TF-bins which belong to the same speaker
* Separation performance suffers from noise in data sets but is speaker independent
* Order Selection is exploited to detect the existence of overlapping speech
* The process of clustering the learned embeddings via k-means is visualized
The goal of k-means is to cluster the vector set $\mathcal{X} \subset \mathbb{R}^d$ of $n$ vectors given
an integer $k$ which denotes the amount of expected partitions. The result of this operation is a set
$\mathcal{C} \subset \mathbb{R}^d$ of $k$ centers. Like neural networks this algorithm also includes a
loss function which is the target for optimization:
$\gamma=\sum_{x \in \mathcal{X}} \min_{c \in \mathcal{C}} ||x-c||^2$
The objective is to minimize for each $x \in X$ the distance to its nearest center.
Order Selection $k=1$
(a) The plot shows the Euclidean distance between the origin and the center for $k = 1$, as well as
the distance between the two clusters for $k = 2$.
Evaluation results of the baseline model.
Evaluation results for adjusting the learning rate.
Evaluation results for adjusting the amount of hidden units.
Evaluation results for adjusting the batch size.
Evaluation results for adjusting the embedding dimension.


Add
Edit
Reset
Timer
Rally speed
Odom factor
Clock adj
Show time in seconds
Visible columns
Todo
Clock adj +/- buttons?
Jump to NRI shortcut (ctrl or alt keys?)
Add tulip/notes columns? (Need scanning app for that...)
Re-start Time column at OMP? This is a bug! No way to enter out-times at each checkpoint!!
Lap
Clear
×
...
...


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Amplificador de Biopotenciales
Amplificador de biopotenciales desarrollado en el Laboratorio de Prototipado Electrónico y 3D de la FIUNER en conjunto con el Laboratorio de Ingeniería en Rehabilitación e Investigaciones Neuromusculares y Sensoriales (LIRINS)
|
#include "Drv_ADS1299.h"
#include "Drv_GPIO.h"
#include "Drv_SSP.h"
Functions | |
| void | Drv_ADS1299_initialize () |
| Configure pines connected to the ADS and the ADS itself. More... | |
| void | Drv_ADS1299_initialize_ads () |
| Hard Reset ADS and power up sequence. More... | |
| void | Drv_ADS1299_stopStreaming () |
| Stop data acquisition. More... | |
| void | Drv_ADS1299_startStreaming () |
| Start data acquisition. More... | |
| void | Drv_ADS1299_startADS () |
| Start continuous data acquisition. More... | |
| void | Drv_ADS1299_stopADS () |
| Stop continuous data acquisition. More... | |
| void | Drv_ADS1299_csLow (uint8_t SS) |
| SPI chip select method. More... | |
| void | Drv_ADS1299_csHigh (uint8_t SS) |
| SPI chip de-select. More... | |
| uint8_t | Drv_ADS1299_xfer (uint8_t _data) |
| SPI communication method. More... | |
| void | Drv_ADS1299_WAKEUP (uint8_t targetSS) |
| Get out of low power mode. More... | |
| void | Drv_ADS1299_STANDBY (uint8_t targetSS) |
| Go into low power mode. More... | |
| void | Drv_ADS1299_RESET (uint8_t targetSS) |
| Set all register values to default. More... | |
| void | Drv_ADS1299_START (uint8_t targetSS) |
| Start data acquisition. More... | |
| void | Drv_ADS1299_STOP (uint8_t targetSS) |
| Stop data acquisition. More... | |
| void | Drv_ADS1299_RDATAC (uint8_t targetSS) |
| Go into read data continuous mode. More... | |
| void | Drv_ADS1299_SDATAC (uint8_t targetSS) |
| Get out of read data continuous mode. More... | |
| void | Drv_ADS1299_RDATA (uint8_t targetSS) |
| Read data one-shot. More... | |
| uint8_t | Drv_ADS1299_RREG (uint8_t _address, uint8_t targetSS) |
| Read one ADS register. More... | |
| void | Drv_ADS1299_RREGS (uint8_t _address, uint8_t _numRegistersMinusOne, uint8_t targetSS) |
| Read multiple ADS registers. More... | |
| void | Drv_ADS1299_WREG (uint8_t _address, uint8_t _value, uint8_t targetSS) |
| Write one ADS register. More... | |
| void | Drv_ADS1299_WREGS (uint8_t _address, uint8_t _numRegistersMinusOne, uint8_t targetSS) |
| Write multiple ADS registers. More... | |
| void | Drv_ADS1299_writeOneChannelSettings (uint8_t N) |
| Write settings of only one specific channel. More... | |
| void | Drv_ADS1299_writeAllChannelSettings () |
| Write settings of all channels. More... | |
| void | Drv_ADS1299_setChannelsToDefault () |
| Set all channels with the default values. More... | |
| void | Drv_ADS1299_activateChannel (uint8_t N) |
| Activate specific channel N. More... | |
| void | Drv_ADS1299_deactivateChannel (uint8_t N) |
| De-activate specific channel N. More... | |
| uint8_t | Drv_ADS1299_constrain (uint8_t num, uint8_t min, uint8_t max) |
| Constrains a number to be within a range. More... | |
| bool | Drv_ADS1299_isDataAvailable () |
| Query to see if data is available from the ADS1299. More... | |
| uint8_t | Drv_ADS1299_getDeviceID (uint8_t targetSS) |
| Return the ID of the AFE device. More... | |
| void | Drv_ADS1299_updateChannelData () |
| Function called to receive new data from the ADS1299. More... | |
| void | Drv_ADS1299_updateBoardData () |
| Function called to receive new data from the master board. More... | |
| void | Drv_ADS1299_updateSlaveData () |
| Function called to receive new data from the slave board. More... | |
| void | Drv_ADS1299_configureInternalTestSignal (uint8_t amplitudeCode, uint8_t freqCode) |
| Configure the test signals that can be inernally generated by the ADS1299. More... | |
| void | Drv_ADS1299_changeInputType (uint8_t inputCode) |
| Change the source of signal connected to the inputs of the ADS1299. More... | |
| void | Drv_ADS1299_getRegistersData (uint8_t *regArray) |
| Return an array with ADS1299 registers data. More... | |
| bool | Drv_ADS1299_getSlavePresent () |
| To know if the Slave Board is present. More... | |
| void | Drv_ADS1299_getDefaultChannelSettings (uint8_t *defChanSettings) |
| Return an array with the 6 values of default channel settings. More... | |
| void | Drv_ADS1299_changeOneChannelLeadOffDetect (uint8_t N) |
| Change the lead off detect settings for specified channel. More... | |
| void | Drv_ADS1299_changeAllChannelLeadOffDetect () |
| Change the lead off detect settings for all channels. More... | |
| bool | Drv_ADS1299_smellSlave () |
| Check if Slave Board is present. More... | |
| void | Drv_ADS1299_removeSlave () |
| Stop Slave ADS and remove link. More... | |
| void | Drv_ADS1299_attachSlave () |
| Configure CLK output and detect Slave board. More... | |
| void | Drv_ADS1299_resetADS (uint8_t targetSS) |
| Reset all the ADS1299 settings. Stops all data acquisition. More... | |
| void | Drv_ADS1299_getChannelData (uint8_t *sampleCnt, uint8_t *data) |
| Function to get Channel Data. More... | |
Variables | |
| uint8_t | channelSettings [16][6] |
| Array to hold current channel settings. More... | |
| uint8_t | defaultChannelSettings [6] |
| Default values for channel settings. More... | |
| uint8_t | leadOffSettings [16][2] |
| Array used to control on/off of impedance measure for P and N side of each channel. More... | |
| uint8_t | sampleCounter = 0 |
| bool | firstDataPacket = FALSE |
| bool | slavePresent = FALSE |
| Flag to indicate if the Slave Board is present. More... | |
| bool | useSRB2 [16] |
| Array of flags to keep track of SRB2 usage. More... | |
| bool | boardUseSRB1 = FALSE |
| Flag used to keep track if we are using SRB1 in the Master Board. More... | |
| bool | slaveUseSRB1 = FALSE |
| Flag used to keep track if we are using SRB1 in the Slave Board. More... | |
| bool | useInBias [16] |
| Flags array used to remember if we were included in Bias before channel power down. More... | |
| uint8_t | numChannels = 0 |
| Total number of channels. More... | |
| uint32_t | boardChannelData [8] |
| Array used when reading channel data. More... | |
| uint32_t | lastBoardChannelData [8] |
| Array used to store the last data reading. More... | |
| uint32_t | meanBoardChannelData [8] |
| uint32_t | boardStat = 0 |
| Variable used to hold the status register. More... | |
| uint32_t | slaveStat = 0 |
| Variable used to hold the status register of salve board. More... | |
| uint32_t | slaveChannelData [8] |
| Array used when reading channel data from slave board. More... | |
| uint32_t | lastSlaveChannelData [8] |
| Array used to store the last data from slave board. More... | |
| uint32_t | meanSlaveChannelData [8] |
| uint8_t | boardChannelDataRaw [24] |
| uint8_t | lastBoardDataRaw [24] |
| uint8_t | meanBoardDataRaw [24] |
| uint8_t | slaveChannelDataRaw [24] |
| uint8_t | lastSlaveDataRaw [24] |
| uint8_t | meanSlaveDataRaw [24] |
| uint8_t | regData [24] |
| Array used to mirror register data. More... | |
| void Drv_ADS1299_activateChannel | ( | uint8_t | N | ) |
Activate specific channel N.
| N | Number of the channel to activate (1-16) |
| void Drv_ADS1299_attachSlave | ( | ) |
Configure CLK output and detect Slave board.
| void Drv_ADS1299_changeAllChannelLeadOffDetect | ( | ) |
Change the lead off detect settings for all channels.
| void Drv_ADS1299_changeInputType | ( | uint8_t | inputCode | ) |
Change the source of signal connected to the inputs of the ADS1299.
| inputCode | Input types |
| void Drv_ADS1299_changeOneChannelLeadOffDetect | ( | uint8_t | N | ) |
Change the lead off detect settings for specified channel.
| N | Number of the channel to de-activate (1-16) |
| void Drv_ADS1299_configureInternalTestSignal | ( | uint8_t | amplitudeCode, |
| uint8_t | freqCode | ||
| ) |
Configure the test signals that can be inernally generated by the ADS1299.
| amplitudCode | Amplitude of the test signal: ADSTESTSIG_NOCHANGE, ADSTESTSIG_AMP_1X, ADSTESTSIG_AMP_2X |
| freqCode | Frequence of the test signal: ADSTESTSIG_NOCHANGE, ADSTESTSIG_PULSE_SLOW, ADSTESTSIG_PULSE_FAST |
| uint8_t Drv_ADS1299_constrain | ( | uint8_t | num, |
| uint8_t | min, | ||
| uint8_t | max | ||
| ) |
Constrains a number to be within a range.
| num | Number to constrain |
| min | Lower limit |
| max | Upper limit |
| void Drv_ADS1299_csHigh | ( | uint8_t | SS | ) |
SPI chip de-select.
| SS | SPI target to talk to: BOARD_ADS, SLAVE_ADS or BOTH_ADS |
| void Drv_ADS1299_csLow | ( | uint8_t | SS | ) |
SPI chip select method.
| SS | SPI target to talk to: BOARD_ADS, SLAVE_ADS or BOTH_ADS |
| void Drv_ADS1299_deactivateChannel | ( | uint8_t | N | ) |
De-activate specific channel N.
| N | Number of the channel to de-activate (1-16) |
| void Drv_ADS1299_getChannelData | ( | uint8_t * | sampleCnt, |
| uint8_t * | data | ||
| ) |
Function to get Channel Data.
| &sampleCnt | Pointer to a uint8_t variable to store Sample Count |
| *data | Pointer to an array with 48 elements (24 of Mastar board data and 24 of Slave board data) |
| void Drv_ADS1299_getDefaultChannelSettings | ( | uint8_t * | defChanSettings | ) |
Return an array with the 6 values of default channel settings.
| *defChanSettings | Pointer to an array with 6 elements to store Default Channel Settings |
| uint8_t Drv_ADS1299_getDeviceID | ( | uint8_t | targetSS | ) |
Return the ID of the AFE device.
| targetSS | SPI target to talk to: BOARD_ADS, SLAVE_ADS or BOTH_ADS |
| void Drv_ADS1299_getRegistersData | ( | uint8_t * | regArray | ) |
Return an array with ADS1299 registers data.
| *regArray | Pointer to an array with 24 elements to store ADS registers values |
| bool Drv_ADS1299_getSlavePresent | ( | ) |
To know if the Slave Board is present.
| void Drv_ADS1299_initialize | ( | ) |
Configure pines connected to the ADS and the ADS itself.
| void Drv_ADS1299_initialize_ads | ( | ) |
Hard Reset ADS and power up sequence.
| bool Drv_ADS1299_isDataAvailable | ( | ) |
Query to see if data is available from the ADS1299.
| void Drv_ADS1299_RDATA | ( | uint8_t | targetSS | ) |
Read data one-shot.
| targetSS | SPI target to talk to: BOARD_ADS, SLAVE_ADS or BOTH_ADS |
| void Drv_ADS1299_RDATAC | ( | uint8_t | targetSS | ) |
Go into read data continuous mode.
| targetSS | SPI target to talk to: BOARD_ADS, SLAVE_ADS or BOTH_ADS |
| void Drv_ADS1299_removeSlave | ( | ) |
Stop Slave ADS and remove link.
| void Drv_ADS1299_RESET | ( | uint8_t | targetSS | ) |
Set all register values to default.
| targetSS | SPI target to talk to: BOARD_ADS, SLAVE_ADS or BOTH_ADS |
| void Drv_ADS1299_resetADS | ( | uint8_t | targetSS | ) |
Reset all the ADS1299 settings. Stops all data acquisition.
| targetSS | SPI target to talk to: BOARD_ADS, SLAVE_ADS or BOTH_ADS |
| uint8_t Drv_ADS1299_RREG | ( | uint8_t | _address, |
| uint8_t | targetSS | ||
| ) |
Read one ADS register.
| _address | Register address to read |
| targetSS | SPI target to talk to: BOARD_ADS, SLAVE_ADS or BOTH_ADS |
| void Drv_ADS1299_RREGS | ( | uint8_t | _address, |
| uint8_t | _numRegistersMinusOne, | ||
| uint8_t | targetSS | ||
| ) |
Read multiple ADS registers.
| _address | Register address to read |
| _numRegistersMinusOne | Number of registers to read minus one |
| targetSS | SPI target to talk to: BOARD_ADS, SLAVE_ADS or BOTH_ADS |
| void Drv_ADS1299_SDATAC | ( | uint8_t | targetSS | ) |
Get out of read data continuous mode.
| targetSS | SPI target to talk to: BOARD_ADS, SLAVE_ADS or BOTH_ADS |
| void Drv_ADS1299_setChannelsToDefault | ( | ) |
Set all channels with the default values.
| bool Drv_ADS1299_smellSlave | ( | ) |
Check if Slave Board is present.
| void Drv_ADS1299_STANDBY | ( | uint8_t | targetSS | ) |
Go into low power mode.
| targetSS | SPI target to talk to: BOARD_ADS, SLAVE_ADS or BOTH_ADS |
| void Drv_ADS1299_START | ( | uint8_t | targetSS | ) |
Start data acquisition.
| targetSS | SPI target to talk to: BOARD_ADS, SLAVE_ADS or BOTH_ADS |
| void Drv_ADS1299_startADS | ( | ) |
Start continuous data acquisition.
| void Drv_ADS1299_startStreaming | ( | ) |
Start data acquisition.
| void Drv_ADS1299_STOP | ( | uint8_t | targetSS | ) |
Stop data acquisition.
| targetSS | SPI target to talk to: BOARD_ADS, SLAVE_ADS or BOTH_ADS |
| void Drv_ADS1299_stopADS | ( | ) |
Stop continuous data acquisition.
| void Drv_ADS1299_stopStreaming | ( | ) |
Stop data acquisition.
| void Drv_ADS1299_updateBoardData | ( | ) |
Function called to receive new data from the master board.
| void Drv_ADS1299_updateChannelData | ( | ) |
Function called to receive new data from the ADS1299.
| void Drv_ADS1299_updateSlaveData | ( | ) |
Function called to receive new data from the slave board.
| void Drv_ADS1299_WAKEUP | ( | uint8_t | targetSS | ) |
Get out of low power mode.
| targetSS | SPI target to talk to: BOARD_ADS, SLAVE_ADS or BOTH_ADS |
| void Drv_ADS1299_WREG | ( | uint8_t | _address, |
| uint8_t | _value, | ||
| uint8_t | targetSS | ||
| ) |
Write one ADS register.
| _address | Register address to write |
| _value | Byte to write in register |
| targetSS | SPI target to talk to: BOARD_ADS, SLAVE_ADS or BOTH_ADS |
| void Drv_ADS1299_WREGS | ( | uint8_t | _address, |
| uint8_t | _numRegistersMinusOne, | ||
| uint8_t | targetSS | ||
| ) |
Write multiple ADS registers.
| _address | Register address to write |
| _numRegistersMinusOne | Number of registers to write minus one |
| targetSS | SPI target to talk to: BOARD_ADS, SLAVE_ADS or BOTH_ADS |
| void Drv_ADS1299_writeAllChannelSettings | ( | ) |
Write settings of all channels.
| void Drv_ADS1299_writeOneChannelSettings | ( | uint8_t | N | ) |
Write settings of only one specific channel.
| N | Number of the channel to set (1-16) |
| uint8_t Drv_ADS1299_xfer | ( | uint8_t | _data | ) |
SPI communication method.
| _data | Byte to transfer |
| uint32_t boardChannelData[8] |
Array used when reading channel data.
| uint8_t boardChannelDataRaw[24] |
| uint32_t boardStat = 0 |
Variable used to hold the status register.
| bool boardUseSRB1 = FALSE |
Flag used to keep track if we are using SRB1 in the Master Board.
| uint8_t channelSettings[16][6] |
Array to hold current channel settings.
| uint8_t defaultChannelSettings[6] |
Default values for channel settings.
| bool firstDataPacket = FALSE |
| uint32_t lastBoardChannelData[8] |
Array used to store the last data reading.
| uint8_t lastBoardDataRaw[24] |
| uint32_t lastSlaveChannelData[8] |
Array used to store the last data from slave board.
| uint8_t lastSlaveDataRaw[24] |
| uint8_t leadOffSettings[16][2] |
Array used to control on/off of impedance measure for P and N side of each channel.
| uint32_t meanBoardChannelData[8] |
| uint8_t meanBoardDataRaw[24] |
| uint32_t meanSlaveChannelData[8] |
| uint8_t meanSlaveDataRaw[24] |
| uint8_t numChannels = 0 |
Total number of channels.
| uint8_t regData[24] |
Array used to mirror register data.
| uint8_t sampleCounter = 0 |
| uint32_t slaveChannelData[8] |
Array used when reading channel data from slave board.
| uint8_t slaveChannelDataRaw[24] |
| bool slavePresent = FALSE |
Flag to indicate if the Slave Board is present.
| uint32_t slaveStat = 0 |
Variable used to hold the status register of salve board.
| bool slaveUseSRB1 = FALSE |
Flag used to keep track if we are using SRB1 in the Slave Board.
| bool useInBias[16] |
Flags array used to remember if we were included in Bias before channel power down.
| bool useSRB2[16] |
Array of flags to keep track of SRB2 usage.


FROM THE DESK OF DR. MOHAMMED MUSTAFA DIRECTOR, PROJECT IMPLEMENTATION FEDERAL MINISTRY OF HEALTH AND SOCIAL SERVICES, DAKAR SENEGAL PHONE:<PHONE_NUMBER>20026. STRICTLY CONFIDENTIAL. DEAR.. TRANSFER OF US$25.5 MILLION INTO A PERSONAL/COMPANY'S OFFSHORE ACCOUNT Based on the information gathered from the Ministry of Trade and Industry,we intend to solicit your assistance on this transaction with you on the assumption that you will not disappoint us. We have Twenty Five Million, Five Hundred Thousand United States Dollars (US$25,500,000.00) which we made over time from over inflated contracts in my Ministry (Federal Ministry of Health and Social Services). We are seeking your assistance and permission to remit this amount into your account or any other nominated account you can provide for us. Your commission will be 20% of the total sum, 10% for expenses and the remaining 7! 0% is for my colleagues and myself. Could you please notify me of your acceptance to carry out this transaction urgently by e-mail only on the receipt of this message. Kindly, acknowledge the receipt of this letter by sending to me by email a copy of this letter with your private Tel. And Fax number. I shall in turn inform you of the modalities for a formal application to secure the necessary approvals for the immediate release of this fund into your account. Thanks for your co-operation. Yours faithfully, Dr. Mohammed Mustafa,


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And herein I give my advice: for this is expedient for you, who have begun before, not only to do, but also to be forward a year ago.


---
layout: post
title: The All New Oculus Rift Development Kit 2 (DK2) Virtual Reality Headset
date: '2014-03-19T20:55:41-07:00'
tags:
- oculus
- fromtheinternet
tumblr_url: http://beekley.xyz/post/80136115275/the-all-new-oculus-rift-development-kit-2-dk2
---
The All New Oculus Rift Development Kit 2 (DK2) Virtual Reality Headset
DK2 Next-Gen Virtual Reality Pre-order now Next-Generation Virtual Reality Technology DK2 is the latest development kit for the Oculus Rift that allows developers to build amazing games and experiences for the consumer Oculus Rift. Pre-order now Positional…
It’s getting very hard to wait for the consumer model.


In Burton G. Malkiel’s investment classic A Random Walk Down Street, a general argument is made that investors - both individual and institutional - almost never consistently outperform “the market,” the S&P 500 index tracking the performance of about the 500 largest companies listed in U.S. stock exchanges. Malkiel claims that one is better off putting their money in an S&P 500 fund - which has yielded roughly 10% every year - rather than attempting to pick individual stocks that undergo “random walks”.
Several individuals have established track records of defying Malkiel’s claim: Warren Buffett, Jim Simons, Ray Dalio, George Soros, and others. Are they merely statistical outliers or is Malkiel underestimating the predictability of stock markets? Our goal is to ascertain if there is some truth behind the “random walk” description of the stock market and if some level of predictability exists within it. This project provides analytical tools to the user so they can historically backtest data and determine for themselves if one can in fact “beat the market.”
Our terminal based project is an interactive analytical tool for the financially inclined user. Once compiling the file random_walk.py in the terminal, the user starts with 3 main options in a continuously running command line: (1) use analytical tools, (2) read a list of useful tickers, and (3) view charts. The Github link to our project is here.
For the first main option, there are 5 additional prompts that the user can choose to pick an analytical tool which our program will compute for a desired company (or other financial data point) and desired time interval.
(1) Correlation Coefficient: The Pearson correlation coefficient analyzes movements of two data points and returns a number from -1 to 1 inclusive. The greater the absolute value of the correlation coefficient, the more strongly correlated the two data points are.  In this function, the user is prompted to enter in two companies (or other financial data points) and a time interval to conduct analysis. The correlation coefficient can be used in a diversification strategy to hedge risk in a portfolio by pairing assets that have negative correlation.
(2) Volatility: Volatility is a measure of risk. Greater volatility means greater dispersion of outcomes, i.e, standard deviation. According to consensus financial thought, greater returns are only possible by assuming greater risk. Knowing how volatile a particular stock is during a given time interval and comparing it to its return over that time interval can help shed light on the relationship between a stock's risk and return. Constructing a portfolio of assets with varying degrees of risk is a common strategy for diversification. This function prints out both the mean and standard deviation of the entered company (or other financial data points) in the entered time interval.
(3) Stochastic Oscillator: The stochastic oscillator is a trading tool used to indicate how overbought or oversold a stock is. The range of values is from 0 to 100, with higher values indicating stronger signals of a stock being overbought. For rule of thumb, a stochastic oscillator value > 80 indicates overbought, while a value < 20 indicates oversold. In this function, the user is prompted to enter in a company and the current date. The time interval considered for this analysis is the last 14 trading days.
(4) Average Daily Percent Change: This simple statistic is self-explanatory and can be used to assess the volatility and momentum of a given company (or other financial data point) in the entered time interval. A high average daily percent change can indicate a risky investment or can also indicate a strong trend if a short time interval is considered. In this function, the user is prompted to enter in a company (or other financial data point) and a time interval on which to compute the average daily percent change. Here's a list of the largest daily changes in the S&P 500 Index.
(5) Exponential Moving Average The exponential moving average is a weighted average of a stock’s closing prices over a given time interval, with greater weight placed on more recent data points. As opposed to a simple moving average which places equal weight to all data points, an exponential moving average is more sensitive to recent data points. Greater weight on newer data may better reflect a stock’s current trend, but it may also overstate the significance of recent movements. In this function, the user is prompted to enter in a company (or other financial data point) and a time interval on which to compute the exponential moving average.
For the second main option, there are additional prompts the user can choose to read a list of useful tickers to enter into the analytical functions. Since this project depends on data retrieved from Yahoo! Finance, specific tickers must be entered for special financial data points that are not individual stocks. These tickers are not readily found on Yahoo Finance and are provided for the user to access should they be curious about analyzing data outside of individual stocks. In this option, the user will be prompted to enter in what kind of data they wish to seek, which include:
(1) U.S. Market sectors: Market indexes represent a particular segment of the financial markets (ex: U.S. large cap companies are represented by the S&P 500, U.S. small cap companies are represented by the Russell 2000, etc.). A list of important U.S. indexes and global indexes (such as the FTSE 100, Nikkei 225, etc.) are provided with their respective tickers that can be entered into the analytical and charting capabilities of our project.
(2) Market Indexes: The U.S. stock market is generally split into 11 sectors which include: Communication Services, Consumer Discretionary, Consumer Staples, Energy, Financials, Health, Industrials, Materials, Real Estate, Technology, and Utilities. A list of Vanguard ETFs that represent each of these sectors is provided in this option.
Notable Companies:
1. Alphabet (GOOGL)
2. Facebook (FB)
3. Verizon (VZ)
4. Netflix (NFLX)
5. AT&T (T)
6. Comcast (CMCSA)
7. Disney (DIS)
8. Charter Communications (CHTR)
9. T-Mobile US (TMUS)
10. Activision Blizzard (ATVI)
Notable Companies:
1. Amazon (AMZN)
2. Home Depot (HD)
3. McDonald’s (MCD)
4. Tesla (TSLA)
5. NIKE (NKE)
6. Lowe’s (LOW)
7. Starbucks (SBUX)
8. Booking Holdings (BKNG)
9. TJX Companies (TJX)
10. Target (TGT)
Notable Companies:
1. Procter & Gamble (PG)
2. PepsiCo (PEP)
3. Coca-Cola (KO)
4. Walmart (WMT)
5. Philip Morris International (PM)
6. Costco (COST)
7. Mondelez International (MDLZ)
8. Altria Group (MO)
9. Colgate-Palmolive (CL)
10. Kimberly-Clark (KMB)
Notable Companies:
1. Exxon Mobil (XOM)
2. Chevron (CVX)
3. ConocoPhillips (COP)
4. Phillips 66 (PSX)
5. EOG Resources (EOG)
6. Kinder Morgan (KMI)
7. Schlumberger (SLB)
8. Marathon Petroleum (MPC)
9. Valero Energy (VLO)
10. Williams Companies (WMB)
Notable Companies:
1. JPMorgan Chase (JPM)
2. Berkshire Hathaway (BRK.A)
3. Bank of America (BAC)
4. Citigroup (C)
5. Wells Fargo (WFC)
6. BlackRock (BLK)
7. S&P Global (SPGI)
8. American Express (AXP)
9. Goldman Sachs (GS)
10. CME Group (CME)
Notable Companies:
1. Johnson & Johnson (JNJ)
2. UnitedHealth (UNH)
3. Merck (MRK)
4. Pfizer (PFE)
5. AbbVie (ABBV)
6. Abbott Laboratories (ABT)
7. Thermo Fisher Scientific (TMO)
8. Eli Lilly and Co. (LLY)
9. Amgen (AMGN)
10. Bristol-Myers Squibb (BMY)
Notable Companies:
1. Union Pacific (UNP)
2. Honeywell (HON)
3. Boeing (BA)
4. Raytheon Technologies (RTX)
5. Lockheed Martin (LMT)
6. 3M (MMM)
7. United Parcel Service (UPS)
8. Caterpillar (CAT)
9. General Electric (GE)
10. Illinois Tool Works (ITW)
Notable Companies:
1. Linde PLC (LIN)
2. Air Products and Chemicals (APD)
3. Ecolab (ECL)
4. Newmont (NEM)
5. Sherwin-Williams (SHW)
6. DuPont de Nemours (DD)
7. Dow Inc. (DOW)
8. PPG Industries (PPG)
9. Ball Corp. (BLL)
10. Corteva (CTVA)
Notable Companies:
1. Vanguard Real Estate II Index Fund (VRTPX)
2. American Tower (AMT)
3. Crown Castle International (CCI)
4. Prologis (PLD)
5. Equinix (EQIX)
6. Digital Realty Trust (DLR)
7. SBA Communications (SBAC)
8. Public Storage (PSA)
9. Equity Residential (EQR)
10. AvalonBay Communities (AVB)
Notable Companies:
1. Apple (AAPL)
2. Microsoft (MSFT)
3. Visa (V)
4. Mastercard (MA)
5. Intel (INTC)
6. NVIDIA (NVDA)
7. Adobe (ADBE)
8. Cisco Systems (CSCO)
9. PayPal Holdings (PYPL)
10. Salesforce.com (CRM)
Notable Companies:
1. NextEra Energy (NEE)
2. Dominion Energy (D)
3. Duke Energy (DUK)
4. Southern Co. (SO)
5. American Electric Power (AEP)
6. Exelon (EXC)
7. Sempra Energy (SRE)
8. Xcel Energy (XEL)
9. WEC Energy Group (WEC)
10. Eversource Energy (ES)
(3) Commodities: Commodities are assets with notoriously volatile markets. Commodities markets can be catalysts for movements in stocks, which makes trends in commodities trading important enough to consider. Some commodities, most notably gold, are often sought after by investors during periods of stock market volatility as a hedging strategy. A list of important commodities ranging from metals, energy, and agriculture are provided to the user with their respective tickers that can be entered into our program.
(4) Currency exchange rates and U.S. Treasuries: Bond markets and the forex markets are also important financial data points to consider for analysis. U.S. Treasury bonds in particular are valued as safe havens for investors and generally, bond yields move inversely to stock prices. Movements in currency exchange rates affect multinational companies and the forex market is more relevant than ever due to the increasing globalization of world economies. A small list of U.S. Treasury bonds with varying maturities and important currency exchange rates are provided to the user as tickers.
For the third main option, the user can view two charts for an entered company and time interval: (1) price over time and (2) volume over time. These are basic tools that can be used in conjunction with the analytical functions given which can ultimately help the user visualize trends over a certain time interval.
William Hong is an applied math and finance student at Fordham University. William is particularly interested in data science and quantifying statistical trends, and naturally his greatest passions are in the financial markets and sports analytics.
Daniel Han is an applied mathematics student at Vanderbilt University, also minoring in scientific computing. He is pursuing a career in data science, with a regard for neuroscience. Daniel is interested in finding meaningful statistics and quantifiable human behavior patterns.
Aaron Chen is currently a rising junior at NYU and has experience in web development and web design. He strives to learn more about machine learning, software engineering and data science. A few of his interests include reading up about geopolitical issues and learning about the financial markets.
Farhan Azad is a math student at Fordham University pursuing a double concentration in applied and pure mathematics. Coding and mathematical research are two of Farhan's greatest interests.
© 2020


Office of the Vice Chancellor for Equity, Diversity, and Inclusion
We believe that true excellence is achieved through productive relationships among people of diverse perspectives. When the collective talents of our students, faculty, and staff at UC San Diego are united in an environment that is open and inclusive, creativity and innovation prospers.
At the Office of the Vice Chancellor for Equity, Diversity, and Inclusion, we work to ensure that our campus community is one of equal opportunity, where mutual respect and cross-cultural collaboration is fostered and open dialogue is encouraged. UC San Diego has many resources that support the recruitment and retention of historically underserved populations, deepen understanding and challenge misconceptions surrounding diversity, and develop proactive leaders who advocate for inclusion.
For additional information, please contact us at<EMAIL_ADDRESS>Resources
- Campus Community Centers
- Disability Resources
- Student Veterans Resource Center
- Undocumented Student Services


Looking for the BlinkyTape DERP developers? Check out the main page.
This page contains the description and terms for the BlinkyTape Developer Early Revision Program (BT-DERP).
Applications are now closed. Thank you all so much!
The BT-DERP is a program to get pre-production BlinkyTapes into the hands of adventurous developers and designers who want to help us make the BlinkyTape awesome!
Program members will create and share awesome new projects, libraries, documentation, and more with the BlinkyTape community.
Developers who are accepted into the BT-DERP will receive:
A pre-production BlinkyTape shipped in late August! Your pre-production BlinkyTape will come with no accessories. Pre-production units are not as polished as production units and may be more fragile. We cannot replace one if it is broken or does not work. (You will still receive your production BlinkyTape and accessories when they are ready!)
Developer support via email and instant messaging from the BlinkyTape developers!
You will be featured as a Beta Developer on our site and in our documentation.
Your progress updates will be featured in our KS backer updates.
We'll feature the best projects at our booth at MakerFaire NYC 2013. See details below.
The BT-DERP is open to our US Kickstarter backers who pledged at the $50 level or above. In other words, anyone who is scheduled to receive a production BlinkyTape. We will be using your email address to confirm your Kickstarter pledge, so please make sure that your application includes the same email address you used when you backed BlinkyTape on Kickstarter!
Unfortunately, due to shipping costs and time constraints, we can only accept BT-DERP applications from residents of the lower 48 United States.
That is up to you! We want these early units to go out to people who are going to make and share things that other BlinkyTape owners can use, learn from, and expand upon.
Some examples:
Keep in touch!
We'll set up a BT-DERP mailing list for general discussion and support. We also want to share your progress with the 1000+ BlinkyTape backers on Kickstarter, so in-progress photos and write-ups will be encouraged every week.
Document Everything
The coolest program is not useful if it can't be understood and a HowTo is no good without the "How To" bits.
We'll work with accepted developers to figure out what exact documentation makes sense for their project, but here are some ideas of what to expect:
Open Source Your Files
We believe in the power of open source. We want to see you get credit for your work and see as many people as possible benefit from it!
If you're accepted into the program, you agree to license your source code and hardware design files for your project under an open source license. For example, one of the licenses listed at choosealicense.com.
You also agree to license your documentation, images, and videos for the project under a Creative Commons.
We encourage you to choose a license that requires attribution. A share-alike license is great, as well!
Because BlinkyTape is a commercial product, was ask that you choose a license that allows commercial use.
Share Your Project (Fast)!
We're planning to ship the BlinkyTape in late September 2013. In order to benefit the first BlinkyTape recipients, developers will need to post completed project files and documentation by September 30, 2013.
As a bonus for speedy developers - we'll also feature the best projects at our booth at MakerFaire NYC 2013 on September 21-22, 2013!
Q: Will this impact my Kickstarter reward?
Q: Can I keep the prototype Blinkytape?
Q: Can my hackerspace apply?
Q: Does this mean I am part of the company?
Q: What if I can't finish my project on time?
Q: Will having an early prototype of BlinkyTape make me the envy of my friends and neighbors?
Q: What will I do with the pre-production BlinkyTape once the production units ship?
Q: Can I chain the pre-production BlinkyTape to the production one when I get it?
Q: Hey! You're trying to steal my ideas!
BlinkyTape DERP Applications are closed as of August 13, 2013 at midnight Eastern time.
BT-DERP developers were announced on August 19th, 2013.


Japan space probe on its way back after asteroid mission
TOKYO — A Japanese space probe is heading home from an asteroid 250 million km (155 million miles) from Earth after collecting sub-surface samples that could help scientists seeking the origins of life, Japan's space agency said on Monday.
Asteroids are believed to have formed at the dawn of the solar system and scientists say the asteroid, called Ryugu, may contain organic matter that may have contributed to life on Earth.
If the return trip is completed successfully, that will be the first time samples from beneath an asteroid's surface have been brought back to Earth, a spokeswoman for the Japan Aerospace Exploration Agency, or JAXA, said.
The unmanned Hayabusa 2, named after a falcon, began leaving Ryugu last week, but it is still sending images back to Earth.
Those observations will be wrapped up on Monday or Tuesday before its main engine is activated for the year-long flight, JAXA said.
"This is us bidding farewell to Ryugu," the spokeswoman said.
Hayabusa 2 is scheduled to return to Earth by the end of 2020. After dropping off a capsule containing the samples, without landing, the probe itself will keep on going and fly away into space, finishing its six-year, 29 billion yen ($266 million) mission.
© (c) Copyright Thomson Reuters 2019.


This page contains visualizations of data using Javascript.
Visualizing multiple time series of CPU usage (CPU 0, 1, 2, 3) for a smartphone.
Visualizing time series data from a smartphone - CPU usage measured at 5 second intervals.
Visualizing live chemical reactor data using Rickshaw.
Demonstrating some basic time series charts using the Rickshaw library.
Demonstrating a simple time series chart using the Cubism library.
Creating Javascript controls to link buttons and button-clicking to bar chart data. This requires active filtering of data.
Simple multiple-series bar chart using the C3 library and loading arrays from a JSON file.
Simple donut chart using the C3 library and loading arrays from a JSON file.
Simple line chart using the C3 library and loading arrays from a JSON file.
Simple line chart using the C3 library and hard-coded arrays.


Project 1 proposal
Discussion
My idea of counting time was to have to screen fill up with "liquid" which would take 60 seconds, when its done the liquid is emptied and one dot is added to the page, and it goes on until one hour is complete.
go to home page


Test your knowledge in easy level.
Test your knowledge in normal level.
Test your knowledge in hard level.


This site exists to document, share and discuss my knowledge of Data, Models and Analytics in an enterprise setting.
I originally developed this site to share a real life example of my favourite paradigm for developing web services and applications for Data, Models and Analytics in an Enterprise setting. You can read the details in the Docs and find the Source on Github.
I hope you find this site useful. Feel free to reach out.
Marc Skov Madsen, PhD (Math), CFA®
Lead Data Science Developer at Ørsted


- newArrayDeque(E, E...) - Static method in class com.palamida.util.collect.MoreQueues
-
Creates an ArrayDeque
containing the specified initial elements.
- newArrayDeque(Iterator<? extends E>) - Static method in class com.palamida.util.collect.MoreQueues
-
Creates an ArrayDeque
containing the elements returned by the
specified iterator.
- newArrayDequeWithCapacity(int) - Static method in class com.palamida.util.collect.MoreQueues
-
Creates an empty ArrayDeque
with an initial capacity sufficient
to hold the specified number of elements.
- newLinkedHashMap(boolean) - Static method in class com.palamida.util.collect.MoreMaps
-
Creates an empty LinkedHashMap
with the specified ordering mode.
- newLinkedHashMap(boolean, Map<? extends K, ? extends V>) - Static method in class com.palamida.util.collect.MoreMaps
-
Creates a LinkedHashMap
with the specified ordering mode,
containing the same mappings as the specified map.
- newLinkedHashMapExpectedSize(int, boolean) - Static method in class com.palamida.util.collect.MoreMaps
-
Creates an empty LinkedHashMap
with the specified ordering mode
and enough capacity to hold the specified number of entries without
rehashing.
- newLinkedList(E, E...) - Static method in class com.palamida.util.collect.MoreLists
-
Creates a LinkedList
containing the specified initial elements.
- newPrintStream(File, Charset, boolean, boolean) - Static method in class com.palamida.util.io.MoreFiles
-
Returns a new PrintStream
which writes to the given file using
the specified charset.
- newPrintWriter(File, Charset, boolean, boolean) - Static method in class com.palamida.util.io.MoreFiles
-
Returns a print writer to the given file using the specified charset.
- newSkiplist(E, E...) - Static method in class com.palamida.util.collect.Sortedlists
-
Creates a Skiplist
containing the specified initial elements
sorted according to their natural ordering.
- newTreelist(E, E...) - Static method in class com.palamida.util.collect.Sortedlists
-
Creates a Treelist
containing the specified initial elements
sorted according to their natural ordering.
- newTreeSet(E, E...) - Static method in class com.palamida.util.collect.MoreSets
-
Creates a TreeSet
containing the specified initial elements
sorted according to their natural ordering.
- newTreeSet(Iterator<? extends E>) - Static method in class com.palamida.util.collect.MoreSets
-
Creates a TreeSet
containing the elements returned by the
specified iterator, sorted according to their natural ordering.
- not(FileFilter) - Static method in class com.palamida.util.io.FileFilters
-
Returns a file filter that evaluates to true
if the given file
filter evaluates to false
.


Guidance
A table showing the status of subjects being accredited for teaching from September 2017.
The timetable shows the dates by which exam boards have to send their specifications to Ofqual for consideration. As we receive and accredit specifications, we will update the attached table showing the progress.
When new information is available, the document will be updated at least weekly. Check the ‘+ full page history’ link on bottom-left of this page to see when and what the last update was.
All 26 GCSE subjects have at least 1 specification accredited. 25 of 26 subjects have all specifications accredited.
17 of 20 AS and A level subjects have at least 1 specification accredited. 14 of 20 subjects have all specifications accredited.
42 of 44 GCSE specifications have been accredited.
54 of 73 AS and A level specifications have been accredited.
In 2016 we accredited 147 GCSE, AS and A level specifications .
In 2015 we accredited 122 GCSE, AS and A level specifications .
We have produced a diagram of the accreditation process .
The subjects covered in the attached documents are listed below.
See also subject content from DfE and requirements and guidance from Ofqual .
See also subject content from DfE and requirements and guidance from Ofqual .
Published: 19 May 2016
Updated: 22 March 2017


| Package Cursor |
top
| ||
| $_array | in file php_array.class.php, variable cursor_php_array::$_array | |
| $_cursors | in file merged.class.php, variable cursor_merged::$_cursors | |
| $_index | in file merged.class.php, variable cursor_merged::$_index | |
| $_res | in file sql.class.php, variable cursor_sql::$_res | |
| $_size | in file merged.class.php, variable cursor_merged::$_size | |
| $_size | in file sql.class.php, variable cursor_sql::$_size | |
| _fetch_array | in file php_array.class.php, method cursor_php_array::_fetch_array() | |
| _get | in file sql.class.php, method cursor_sql::_get() | |
| _get | in file php_array.class.php, method cursor_php_array::_get() | |
| _get | in file dbconf.class.php, method cursor_dbconf::_get() | |
| _query | in file sql.class.php, method cursor_sql::_query() | |
| _query | in file php_array.class.php, method cursor_php_array::_query() | |
| _query | in file dbconf.class.php, method cursor_dbconf::_query() | |
| _writeback | in file php_array.class.php, method cursor_php_array::_writeback() | |
| __sleep | in file sql.class.php, method cursor_sql::__sleep() | |
top
| ||
| $conf | in file dbconf.class.php, variable cursor_dbconf::$conf | |
| cursor.class.php | procedural page cursor.class.php | |
| create | in file php_array.class.php, method cursor_php_array::create() | |
| create | in file sql.class.php, method cursor_sql::create() | |
| current | in file cursor.class.php, method cursor::current() Return first or last get'ed() result in queried set. | |
| cursor | in file cursor.class.php, class cursor Cursor base class | |
| cursor_dbconf | in file dbconf.class.php, class cursor_dbconf Cursor for dbconf object content. | |
| cursor_dbconf | in file dbconf.class.php, method cursor_dbconf::cursor_dbconf() | |
| cursor_merged | in file merged.class.php, class cursor_merged Cursor that makes an array of cursors behave like one. | |
| cursor_merged | in file merged.class.php, method cursor_merged::cursor_merged() Construct cursor. | |
| cursor_php_array | in file php_array.class.php, class cursor_php_array Cursor for php arrays. | |
| cursor_sql | in file sql.class.php, method cursor_sql::cursor_sql() | |
| cursor_sql | in file sql.class.php, class cursor_sql SQL cursor via global dbctrl object. | |
top
| ||
| dbconf.class.php | procedural page dbconf.class.php | |
| delete | in file sql.class.php, method cursor_sql::delete() | |
| delete | in file php_array.class.php, method cursor_php_array::delete() | |
top
| ||
| field | in file cursor.class.php, method cursor::field() Get currently selected field. | |
top
| ||
| get | in file cursor.class.php, method cursor::get() Return first or next record. | |
top
| ||
| id | in file cursor.class.php, method cursor::id() Create an unique id for the current record. | |
top
| ||
| key | in file cursor.class.php, method cursor::key() Get current record's key. | |
top
| ||
| merged.class.php | procedural page merged.class.php | |
top
| ||
| php_array.class.php | procedural page php_array.class.php | |
top
| ||
| query | in file cursor.class.php, method cursor::query() Query a result set. | |
top
| ||
| sql.class.php | procedural page sql.class.php | |
| set | in file php_array.class.php, method cursor_php_array::set() | |
| set | in file sql.class.php, method cursor_sql::set() | |
| set | in file dbconf.class.php, method cursor_dbconf::set() | |
| set_db | in file sql.class.php, method cursor_sql::set_db() | |
| set_dbconf | in file dbconf.class.php, method cursor_dbconf::set_dbconf() | |
| set_field | in file cursor.class.php, method cursor::set_field() Select a record field. | |
| set_key | in file cursor.class.php, method cursor::set_key() Set record key. | |
| set_key | in file merged.class.php, method cursor_merged::set_key() | |
| set_source | in file merged.class.php, method cursor_merged::set_source() | |
| set_source | in file cursor.class.php, method cursor::set_source() Set source name. | |
| size | in file sql.class.php, method cursor_sql::size() | |
| size | in file cursor.class.php, method cursor::size() Number of records in result set. | |
| source | in file cursor.class.php, method cursor::source() Get source name. | |
top
| ||
| type | in file cursor.class.php, method cursor::type() Get currently selected field. |


{% extends "layout/_pattern_layout.html" %}
{% from 'nightshade-core/src/popovers/popovers.macros.html' import popover %}
{% set data = {
page_title: "Popovers",
page_description: "A popover exposes a significant amount of information to the user when a trigger element is clicked. A popover can be used to hide secondary level of content if too much copy is already present on page.",
variants: [
{
name: "Standard",
description: "Standard popovers are positioned to the top by default",
macro: "{{ popover('Density refers to the amount of material per cubic foot. High-density materials are more durable.') }}",
html: '
?
Density refers to the amount of material per cubic foot. High-density materials are more durable.
',
rules: {
list: {
typography: "Copy is styled in body—sans-small in Base Gray.",
specs: "If character count is under 120, popover can go up to 300px wide. If character count if over 120, width can go up to 350px.",
color: "Popover fill is always white and and has a shadow."
}
},
tech_notes: [
'content
(required) - Popover text content',
'position
- Position of popover defaults to top',
'class
- Custom CSS or JavaScript class selector',
'id
- Custom JavaScript ID selector'
],
imports: {
stylesheet: {
path: "src/popovers/_base.scss",
code: "@import './node_modules/@casper/nightshade-core/src/popovers/base';"
},
macro: {
path: "src/popovers/popovers.macros.html",
code: "{% from 'nightshade-core/src/popovers/popovers.macros.html' import popover %}"
},
javascript: {
path: "src/popovers/Popovers.js",
code: "import { Popovers } from 'nightshade-core/src/popovers/Popovers.js';"
}
}
},
{
name: "Positioned",
description: "Popover positioned to the right",
macro: "{{ popover(
'Density refers to the amount of material per cubic foot. High-density materials are more durable.',
position='right') }}",
html: '
?
Density refers to the amount of material per cubic foot. High-density materials are more durable.
'
}
]
}
%}
{% block module_loader %}
System.import('views/popovers/PopoversPage.js').then( function(mod) {
mod.PopoversPage.init();
} );
{% endblock %}


ROS architecture for a robot moving into a simulated arena. The robot has 3 behaviors:
The user can interact with the robot by moving the ball
Software architecture and states diagrams
Software architecture
The architercture is composed by 5 components:
- Ball: simulate a user that move the ball into the arena
- Ball detection: detect the green ball
- Robot controller: control the robot toward a target position
- Command manager: implement robot behaviors through a FSM
- Simulation: simulate the robot and the enviroment
State diagram
The finite state machine is composed by 3 state (robot behaviors):
- PLAY: the robot follows the ball and when the ball is stationary, it rotates its head 45 degrees to the left and 45 degrees to the right. Back in position, the robot follows the ball
- NORMAL (initial state): robot moves in a random ways
- SLEEP: robot goes to home position, it stays there for a certain time and then goes to NORMAL state
ROS messages and parameters
The messages are:
PoseStamped
: robot or ball target position
Pose
: position reached by the robot or the ball
String
: radius and center of the ball
Int
: radius and center of the ball
CompressedImage
: images received from the camera
Twist
: robot velocities
The parameters are:
home_pos_x,home_pos_x
: define the home position in the map (double)
map_x,map_y
: define the dimensions of the map (integer)
min_delay_ball,max_delay_ball
: define the min and max delay for sending the random position of the ball (double)
min_transition_play_normal,max_transition_play_normal
: define the min and max delay to trasit between PLAY and NORMAL (integer,suggested values:80-400)
min_transition_normal_sleep,max_transition_normal_sleep
: define the min and max delay to trasit between NORMAL and SLEEP (integer)
min_sleep_delay,max_sleep_delay
: define the min and max delay for the SLEEP state (double)
min_dis_ball_delay,max_dis_ball_delay
: define the min and max delay for disappearing the ball (int)
min_clock_head_delay,max_clock_head_delay
: define the min and max delay for keeping the head in the -45° position
min_countclock_head_delay,max_countclock_head_delay
: define the min and max delay for keeping the head in the 45° position
min_head_delay,max_head_delay
: define the min and max delay for keeping the head in the 0° position
Packages and files
There are 3 packages:
Sensoring
: contains the command.py and ball_detector.py files used to move the ball and detect it
Robot control
: contains the robot_controller.py file used to move the robot toward a target position
Command manager
: contains the command_manager.py file that implements the FSM of robot behaviors.
Simulation
: contains all the files necessary for running the simulation
Installation and running
In order to run this software, the following prerequisities are needed:
Before running the software, you must have all files as executable otherwise you can make them executable with the following command
cd <your_workspace>/src/Behavioral-Architecture-with-Real-Simulation
chmod +x sensoring/src/*
chmod +x robot_control/src/*
chmod +x manager/src/*
To run the software
cd <your_workspace>
catkin_make
source devel/setup.bash
cd src/Behavioral-Architecture-with-Real-Simulation
roslaunch launch_file.launch
Working hypothesis and environment
The robot is a pet that interact with a human who moves the ball into an a simulated arena. The arena is a 7x7 grid. Target position of the robot and the ball belong to the arena. The robot has 3 behaviours: PLAY,NORMAL,SLEEP. The PLAY behaviour will start only if the robot sees the ball. The ball is green and is very big with respect to the robot in order to detect it. The home position can be initialize before starting the simulation and cannot be changed during the execution. The word "someTimes" is inteded as number of cycles for which it is executed a piece of code. The ball has no collisions.The ball is considered stationary when the robot is close to it and is stopped.
System's features
- Specify different dimensions of the arena
- It is possibile to define different delays for the simulation
- It is possibile to define different position of the "home" inside the arena before start the simulation
- It is possible to visualize the states transition in the shell
- The robot will notify if it will reach the target position and it is possibile to visualize it in the shell (the position that the robot has reached)
- The robot can perceives the ball even if it is moving in the NORMAL state
- It is possibile to see the camera of the robot in a separated window with the possibility to see a circle around the detected ball
- It is possible to make the ball disappear simply by moving it under the ground
- All the delays are random values between the defined ranges
- The robot ignores the ball when it is in the SLEEP state
- The robot can follow the ball well when it starts to exit the robot's field of view quickly enough thanks to the choice of a good gain for angular velocity
- The robot starts to rotate, for a certain period of time, to look for the ball when it loses it before passing to the NORMAL state
System's limitations
- Slight wheelies of the robot when it passes from NORMAL to PLAY state
- Shaking of the camera due to the joint of the head
- Very slight wheelies of the robot when it starts to move torward a position during NORMAL behavior
- When the ball moves close to the robot but it is stationary, the robot moves its head
- Robot shaking while following the ball
- Since the PLAY-NORMAL transition is implemented as a number of cycles, if the range is small (e.g. 1-10), the transition will be fast (use suggested range or different values)
Possible technical improvements
- Fine tune the PID values for the head joint
- Adopt an incremental gain solution in order to avoid robot wheelies and allow very fast ball following
- Keeping this robot geometry, adopt a control solution that allows you to follow the ball without shaking
- Add collision properties to the ball
- Adopt a different mechanism to understand if the ball is stationary or not
- Implement the transition mechanism between PLAY and NORMAL with a timer
Author and contact
Simone Voto - simon.nosp@m.e.vo.nosp@m.to98@.nosp@m.gmai.nosp@m.l.com


Larne, Northern Ireland
SS Clyde Valley Memorial
A tribute to a vessel involved in the notorious Larne gun-running.
by TownTacticsOn the shores of Larne Harbour stands a memorial to the SS Clyde Valley, a steamship that played its part in shaping Ulster into the town it is today. The memorial contains one of the harbor lampposts that was used as a guide to navigate the ship safely ashore.
The SS Clyde Valley, formerly known as the SS Balniel, was built in 1886 by Macllwaine, Lewis, and Company Ltd in Belfast and started its career as a coal and ironwork shipping vessel. In 1914, the vessel was sold to a Major Hugh Crawford, who served the Ulster Volunteer Force (UVF), where the SS Clyde Valley would play an important role in one of Northern Irelands’ most notorious historic events: the Larne gun-running.
The UVF was a Unionist militia founded in 1912 to oppose Irish Home Rule, as Ireland was then part of the United Kingdom. The Unionist militia, which was strongest in the province of Ulster, feared being ruled by a Catholic majority parliament based in Dublin.
On the April 24, 2914, the SS Clyde Valley played a major role in smuggling thousands of German guns into Larne and other ports up and down the Ulster coast. The shipments included almost 25,000 rifles and over three million rounds of ammunition and caused heightened tensions across Ireland due to the inactivity of the police to act against the UVF.
However, the large ammunition stockpile was never used in Ireland or Ulster at the time, as the World War I started in the later half of 1914 and the weapons and ammunition was sized by the United Kingdom government to help in the war effort against the Germans. As a result of this, the UVF members joined the British Army in force to fight in the threat against the United Kingdom.
The ship later became involved in the war as a German army ship transport, but was repatriated in 1919 was a transport vessel in Glasgow. Over the next 50 years, the ship had various owners from Nova Scotia and elsewhere in Canada before returning for a short stint to Ulster. The vessel met its end in 1974, when it was broken up for parts in Lancaster.
Know Before You Go
The site is near the Chaine Memorial Tower and Larne Leisure Centre. There is no car park but there is plenty of space to park at the side of the road or alternatively you can park at the Leisure Centre car park and walk round.
The site is also near either the Larne town train station or the Larne Harbour station.
Community Discussion
-
No Comments Yet
Start the discussion.
forum Visit our forums.
Sources
- https://wikivisually.com/wiki/SS_Clyde_Valley_(1886)
- https://www.irishtimes.com/news/ireland/irish-news/larne-marks-centenary-of-uvf-gun-running-1.1775427
- https://www.bbc.co.uk/programmes/p01tgb0z
- https://en.wikipedia.org/wiki/Ulster_Volunteers
- https://en.wikipedia.org/wiki/Larne_gun-running
- https://en.wikipedia.org/wiki/SS_Clyde_Valley_(1886)


Please provide clear steps to reproduce your issue. This is preferably done in a plunker, a video or just a link to your project.
Also nice to include info about your browser environment, version of angular/angular-scroll you are using and other libraries (such as jQuery etc).
angular-scroll.*
) in your PR.angular-scroll.*
files).npm run test-single-run
and npm run protractor
before comitting.gulp lint
before comitting.


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{% extends 'layout.html' %} {% block body %}
Let the Bot Do It.
DiscoveryBot helps attorneys hasten the process of discovering information about the people and property involved in their cases. Data are drawn from many sources, including:


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/* eslint-disable no-unused-vars */
/**
* @file File that contains all Component categories for OpenNetHome
*/
const Categories = [
"Lamps",
"Timers",
"Ports",
"GUI",
"Hardware",
"Controls",
"Gauges",
"Thermometers",
"Infrastructure"
];