text:
7014 Water Utilities Level Sensor
7010 Liquid Level Sensor
4223 Lightweight Level Sensor
1804 Catch Tank Level Sensor
1615 Liquid Level Display
Condition Sensors
4212 Oil Condition Sensor
4212 Oil Condition Sensor with Display
1356 Dual Output Position Sensor
1484 Linear Position Sensor
1498 Rotary Position Sensor
4142 FIA Ultrasonic Fuel Flow Meter
Ignition Pickups
Air/Fuel Ratio-Controller
Displays /Software
Shielded Enclosures
The Gill Company
Railway Coolant Level Sensor
Image courtesy of Andrew Cameron, www.47soton.co.uk.
The railways in the United Kingdom are among the busiest in Europe and with growth in demand from both passenger and freight services over the last 20 years, large parts of the rail network at capacity.
This constrained capacity means that any disruption to the rail timetable can lead to extensive and expensive delays. Reliability of both rolling stock and infrastructure becomes ever more important and companies continue to look at ways of improving the reliability of their assets.
The Class 66 diesel-electric locomotive, manufactured by Electro-Motive Diesel in the USA, is one of the most widely used locomotives in the United Kingdom, primarily for freight use with a total of 455 produced.
Each locomotive is specified and guaranteed to 95% availability, with a target of a minimum of 180 days mean time between failures and to have the ability to cover 1.6 million km between major rebuilds, the equivalent to 18 years of service.
With 3,300 bhp being generated from its V12 two-stroke diesel, the locomotive has proven to have a high reliability which has helped the rail freight companies to remain competitive.
However, there was one recurring problem that compromised the high reliability of the locomotive and that was low coolant levels, which led to the locomotive shutting down, wherever it was. Not only did this mean that another locomotive needed to be sent to recover the train, it also caused considerable delays and potential costly damage to the engine itself, with subsequent unavailability whilst undergoing repairs.
The coolant tank was fitted with a sight gauge at manufacture on the side of the tank, so that a quick visual inspection could be undertaken each day before the locomotive was used.
There were two problems with this, however- over a period of time the sight gauge would become obscured with build-up from the water and additives used in the coolant system, making it hard to read. This was further compounded by the fact that the engine compartment is very crowded and difficult to access because of low light levels.
These factors combined to make it very difficult to read the coolant level in the sight glass accurately, such that either a reading was not taken, or that it was simply not possible to see the fluid level was low. This led to the locomotive shutting down unexpectedly in service, causing the problems described earlier.
Clearly, a solution was required to cure this problem and the answer was to provide an indication in the cab so that the driver could see on starting the locomotive, or during operation, that the coolant level was low.
Because of the high utilisation of the locomotives and the extended service periods, a sensor was required that would remain operational and accurate over prolonged periods without maintenance, and be unaffected by the high levels of vibration and heat experienced in service.
Gill Sensors & Controls was approached because it offered durable and accurate capacitive liquid level sensors. The sensors are designed using solid-state technology with no moving parts and a tolerance of high temperatures which gives these sensors the reliability to meet the service specification of the locomotive.
Gill Sensors & Controls created a customised version of their standard 7010 industrial level sensor to meet the application requirements.
The sensor is manufactured from stainless steel at 450mm in length, with an extended 2 metre flying lead with low smoke and toxicity characteristics to meet fire regulations. The flange was also changed to remove the threaded portion to a plain 1" diameter, allowing fastening using the 5 hole SAE fitting. The sensor has a 4-20mA output.
"The adoption of the Gill sensor to monitor the coolant levels has provided certainty and prevented many unnecessary breakdowns caused by a locomotive going out with insufficient coolant" says Simon Peaty, Product Manager. "The fact that we only had to make simple modifications to a standard sensor to meet the specific needs of the installation is testament to the inherent quality and performance of our level sensor product range".
Products: Level sensors
Hovercraft: Case Study
Other Gill Companies
Gill Corporate Limited
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F: +44 (0) 1590 613901
E: info@gillsc.com
Gill Sensors & Controls Limited
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"In the letters that Mary sent to Manchester Art Gallery she said the reason she wanted the museum to have her collection was because she wanted children to enjoy museums more. What I want to do is run an event that aims to just this. Taking it back to its original aim, I want to invite school children into Platt Hall and allow them to explore the collection. Following this, workshops on creative writing would allow the children to choose objects and create narratives around them, who owned them, where they came from, how Mary Greg came to own it. As well as this, craft workshops dedicated to some of the delicate objects in the collection: patchwork, quilting, embroidery etc.
…Darlington showed me some very nice wall cases that had been made to hold the large-sized children's books. He turns the pages over daily so that the children from the summer camp in the park have an opportunity of reading something new everyday.


text:
Clifford Foreclosures
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Hartsville Foreclosures
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Home / Indiana Foreclosures / Hartsville In 47244 Foreclosures
Foreclosure Homes in Hartsville, IN
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Hartsville, Indiana
Hartsville is a town in Haw Creek and Clifty townships, Bartholomew County, Indiana, United States. The population was 362 at the 2010 census. It is part of the Columbus, Indiana metropolitan statistical area.
Hartsville was founded in 1832. It was named for Gideon B. Hart, a pioneer settler. The first post office at Hartsville was established in 1838.
Hartsville is located at 39°16′1″N 85°41′55″W (39.267039, -85.698689).
According to the 2010 census, Hartsville has a total area of 0.34 square miles (0.88 km2), all land.
As of the census of 2010, there were 362 people, 132 households, and 98 families living in the town. The population density was 1,064.7 inhabitants per square mile (411.1/km2). There were 148 housing units at an average density of 435.3 per square mile (168.1/km2). The racial makeup of the town was 97.0% White, 1.1% African American, and 1.9% from two or more races. Hispanic or Latino of any race were 1.1% of the population.
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redpajama_set_name: RedPajamaCommonCrawl


text:
"""
Code shared between Builder implementations.
"""

import os
import glob
from os import path

from deconstrst.config import Configuration
from deconstrst.builders.writer import OffsetHTMLTranslator

def init_builder(builder):
    """
    Common Builder initialization.
    """

    builder.translator_class = OffsetHTMLTranslator

    builder.deconst_config = Configuration(os.environ)

    if path.exists('_deconst.json'):
        with open('_deconst.json', 'r', encoding='utf-8') as cf:
            builder.deconst_config.apply_file(cf)

def derive_content_id(deconst_config, docname):
    """
    Consistently generate content IDs from document names.
    """

    dirname, basename = path.split(docname)
    if basename == 'index':
        content_id_suffix = dirname
    else:
        content_id_suffix = docname

    content_id = path.join(deconst_config.content_id_base, content_id_suffix)
    if content_id.endswith('/'):
        content_id = content_id[:-1]

    return content_id

redpajama_set_name: RedPajamaGithub


text:
Robert Theodor Odenwald (* 3. Mai 1838 in Frankenthal (Gera); † 22. April 1899 in Hamburg) war ein deutscher Musikpädagoge und Chorleiter.

Leben
Robert Theodor Odenwald wurde schon mit 18 Jahren Präfekt des Geraer Kirchenchors. Er war ein Schüler von Wilhelm Tschirch und A. Helfer. Ab 1859 war er Gesanglehrer an Geraer Schulen und gründete hier 1868 einen Gesangverein. 1870 wurde er als Kantor an der Marienkirche und Gesanglehrer am Gymnasium nach Elbing berufen. Hier gründete er 1871 den Elbinger Kirchenchor.

Vermutlich auf Anregung von Robert Calinich wurde er 1882 nach Hamburg berufen als Gesanglehrer am Realgymnasium des Johanneums und am Wilhelmgymnasium. Auch hier begründete er einen Kirchenchor, der sich schnell entwickelte. Der Hamburger Kirchenchor wurde ab 1884 vom Staat subventioniert und 1891 ganz übernommen. Der Chor veranstaltete dienstags und donnerstags unentgeltliche Motettenaufführungen.

Odenwald war selbst Sänger und gab einige Vokalkompositionen heraus.

Sein Sohn Felix Odenwald (* 1865 in Gera) wurde Pianist.

Werke
 Chöre aus Oratorien von Händel und Mendelssohn-Bartholdy, bearbeitet von Theodor Odenwald. Leipzig: C. Merseburger 1890

Literatur
 Odenwald, Robert Theodor, in: Hugo Riemanns Musik-Lexikon. 5. Auflage, Leipzig: Hesse 1900, S. 801
 Joachim Kremer: Kirchenmusik im Zeichen der Restauration? Zur Gründung eines Kirchenmusikchores in Hamburg zwischen 1822 und 1890. in: H.-J. Marx (Hrsg.): Beiträge zur Musikgeschichte Hamburgs vom Mittelalter bis in die Neuzeit. (Hamburger Jahrbuch für Musikwissenschaft 18), Frankfurt am Main [u. a.]: Lang 2001, S. 437–462

Einzelnachweise

Musikpädagoge
Chorleiter
Christlicher Kantor
Musiker (Hamburg)
Sänger
Person (Elbląg)
Person (Gera)
Deutscher
Geboren 1838
Gestorben 1899
Mann
Gymnasiallehrer

redpajama_set_name: RedPajamaWikipedia


Police in New Hampshire say three people died in a collision between a car and an armored truck.
Plainfield Police Chief Paul Roberts tells the Valley News the three were in a four-door sedan. They died in the head-on collision with the truck Wednesday afternoon on Route 12A near a railroad crossing in Cornish.
The condition of the two people in the truck wasn't immediately known.


Your newest infatuation.. The Latest Flame skirt is a fitted waist, extra full, A-line in ADORABLE petite navy and white polka dot print. The hem falls just below the knee for that vintage silhouette. Back zip. 26 inches long. 100% Quality Cotton. Imported.


text:
Jane Addison
James Cook University Go Back
Dr Jane Addison, Research Fellow
See Jane's full research profile here.
What are your research interests as they relate to northern Australia?
I'm currently working at the social, environmental and economic interface, particularly as it relates to northern Australians achieving their development aspirations. For the Northern Hub, I've been involved in a project evaluating the social and economic benefits of Indigenous land management programs, with case study areas in the west Kimberley and in north Queensland. I'm now helping to better understand opportunities for fee-for-service investments in Indigenous cultural and natural resource management.
What do you love about working in northern Australia?
It's home! I also think there's lots of opportunities to apply lessons from elsewhere to what we do in northern Australia. Similarly, there's a lot that the rest of Australia could learn from the north! There's still lots of opportunity to create the type of future that we want in northern Australia, so it's an exciting place to be working.
Current project Completed project
NESP, 2015-2021NERP, 2012-2015TRaCK, 2005-present
Multiple benefits of Indigenous land and sea management programs
Keywords: Indigenous NRM focus, social & cultural values, socio-economics
Investing in Indigenous cultural and natural resource managers
Keywords: Indigenous NRM focus, integrated planning, socio-economics


text:
Redleg Nation Radio Podcast
Reds Minor Leagues
Reds Stats
2021 Reds
Are more extra-base hits for Reds outfielder Shogo Akiyama coming?
Doug Gray
While playing in Japan, Shogo Akiyama was never considered a power hitter. In the three years prior to signing with the Cincinnati Reds he hit 25, 24, and 20 home runs while playing in 143 games in each season. He wasn't a slap hitter – there was some pop in his game – he slugged over .500 in two of those seasons and .471 in 2019 for Seibu. But in his Major League debut he struggled to hit, and to hit for power. In his 54 games played he hit just .245/.357/.297 and went homerless.
During the season Shogo Akiyama put the ball in play 121 times. Out of those 121 balls in play only one of them went further than 375 feet – a ground rule double against Kyle Hendricks on July 29th. The ball went over the head of the center fielder and bounced into the stands. The ball went 386 feet and was by far the furthest hit ball (hit or out) by Akiyama on the season. A 370-foot double on September 4th in Pittsburgh was the next furthest batted ball he had on the year.
If you followed along with the Cincinnati Reds season this year, you are likely aware of the turn around that Shogo Akiyama had during the year. On August 29th he went 1-4 in a double header with a walk and saw his line sitting at .186/.271/.233 on the season through 33 Reds games. But from that point forward he became a different hitter, posting a .319/.453/.377 line with 16 walks and 13 strikeouts in 25 games played. There was still no power, but everything else improved and improved dramatically.
The outfielder was recently on a television show in Japan, along with Kenta Maeda, speaking about their seasons. For Shogo Akiyama, he had mentioned the adjustment that he had made at the plate during the year. One of the hosts of the show asked if he could show them what he meant, and Akiyama not only did that, but he explained why that led to him not hitting for much power in 2020, and what he was looking forward to doing to change that in 2021.
To keep things simple – he altered the timing when he lifts his leg, helping his timing out. But, that change also meant that he didn't have as much time to continue making more changes on top of that. He noted in the interview that he can next work towards making contact a little bit further out front which led him to say "then I can probably get more extra-base hits".
Power, of course, isn't everything when it comes to hitting. It sure doesn't hurt if you've got it, though. It opens everything else up. If pitchers believe they need to be more careful to you, then you are likely to draw more walks. If defenses have to respect you, it leaves more green for hits to fall in.
Pulling the ball more, which is what would happen if Shogo Akiyama is able to do what he hopes and contact that ball a little further out front (and for those who didn't click the link and watch the video, when he says out front he is referring to a few centimeters) should lead to a little bit more power. The pull side is where most guys show off their power. And in the 2020 season, at least, Akiyama went the other way (in the air, at least) than he did when he pulls the ball.
There's a lot going on here, of course. And a 60-game season means that a lot of the data and information we are looking at certainly qualifies as a small sample size where things aren't quite as reliable as if we had a full season of information and data. But after a slow start, Shogo Akiyama made an adjustment to big league pitching and at least for a month, it worked quite well. It wasn't perfect, and he understands that and has plans to continue to adjust and try to improve. We're still a little over a month away from the start of spring training, and nearly two months out from when games will begin and we can see if those adjustments – particularly in terms of power output – can be had against big league pitching. Still, it's good to see that he's already figured certain things out, he's seen the results, and he's got a plan to take that next step.
The Reds 2021 season is likely to begin on time
Cincinnati Reds acquire pitcher Art Warren from the Rangers
Doug Gray is the owner of RedsMinorLeagues.com, writes here at Redleg Nation, and as you guessed it, passionate about the Cincinnati Reds and baseball in general. He's been writing about baseball since 2006. You can keep tabs with him on twitter @dougdirt24.
Cincinnati Reds sign Luis Castillo to a 1-year deal
Reds agree to 1-year deals with Lorenzen, Mahle, Winker, Garrett
LDS 01/06/2021
Here's hoping. The Reds need all the help they can get. Maybe he can play shortstop.
doofus 01/06/2021
LOL. Thank you Moriarty.
CFD3000 01/06/2021
Between Akiyama and Votto making adjustments that showed real and ongoing positive results, and several hitters – Castellanos, Moustakas, Senzel and Suarez – underperforming in 2020, I do expect the Reds offense to be better in 2021. I'm cautiously optimistic.
But I'm much more impressed by the sustained success of Doug Gray. Did anyone else catch a Japanese TV interview with Akiyama (and Kenta Maeda)? Then translate it and distill the key points for American Reds fans? I don't think so. Is Gray's OPS (Obliterating Pertinent Stories rate) sustainable? You wouldn't think so, but here he is killing it in yet another offseason. Don't sleep on Doug Gray folks.
Arigato, Doug Gray-Son!
DaveCT 01/06/2021
We can no longer consider Doug to be a mere sleeper. He is now a bona fide candidate for bigger things in media. Slowly, methodically, Doug has increased his abilities and sharpened in skills. A fastball that once sat at 87-91 now averages 94 and touches 97, more than enough velocity to succeed in the Reds bullpen, perhaps enough to start. In addition he has sustained a rather filthy slider but now also boasts a very deceptive, tumbling changeup that is currently above average, flashing plus movement nearly as often as not. Continued improvement bodes well for his hometown team and this young man's future.
west larry 01/06/2021
I really think Aikyama will be a better hitter based on his improvement late last year. Looks like he made significant adjustments to major league pitching. A couple other hitters will, hopefully, come off near career lows as well. Find a decent shortstop and the reds should be significantly better, especially as poorly as the central division seems to be. No padres, dodgers nor braves in this division.
The teams only played 37% of the regular season schedule. Because of the geographically limited schedule some teams played against tougher competition, others weaker. With 102 more games both the hitters and pitchers would have different end of season results/stats.
I believe that the Reds are a better hitting team than 2020's results. I still believe that JV is on the downside.
Jimbo44CN 01/06/2021
I would think he would start out as the every day left fielder, which is fine with me, but we still have a question at center, as clearly Senzel is having trouble staying there and underperformed this past year. I don't know what the solution is for the infield unless the Reds go out and get Didi. As much as I like Kyle Farmer as a backup I am not sure if he would be a good every day shortstop. We will see.
Sliotar 01/06/2021
In 2020, Reds were 26th in wRC+ with the No. 1 batting position … 74 … well below league average. (FanGraphs)
This is another area, just like the SS position … just having league average production would be a major improvement in 2021.
Jim 01/06/2021
Just for fun, here is my starting lineup for our first game this year.
Shogo
Shortstop
Nick Senzel that is
The other Nick will fill in on the team later
I'd bench Votto before I benched Castellanos.
CleatsOn 01/06/2021
Maybe he can add some power, but I'd be super happy with .320/.450 with no power in the leadoff spot. For sure. Or .300/.400 over the entire season would be awesome.
Klugo 01/06/2021
Yes. I'm a believer.
I hear you on Votto, but you have to have hope that he will get his hitting going again after a 3 year absence. I would give him a month or so and hope he will "Swing The Bat" instead of looking for a walk. If he dosn't come around then play someone better. The other Nick will work himself into my lineup a little later.
TR 01/06/2021
I think Akiyama will do quite well against ML pitching is he's in the lineup most games.
MBS 01/06/2021
I don't care about power in the lead off. I do really care about OBP. I think Shogo could be an elite lead off hitter. I really don't believe in Senzel anymore. Having said that, Senzel needs turns a corner, and remain Healthy. If that happens, then it could be the primer this offense needs.
Steve Schoenbaechler 01/06/2021
Dang, I don't care about extra base hits. Just get on base! Screw the extra base hits. I wouldn't mind simply seeing some seeing-eye singles.
flyout. Vincent 01/08/2021
The players need to try to get hits rather than trying to knock the cover off of the ball. That would add to a lot more wins than just long flyouts.
Frankie Tomatoes 01/09/2021
I can't believe they never thought of that. This whole time they were up there thinking about not trying to get hits. That seems like a poor plan. You're correct. They really should try to just get hits.
rednat 01/06/2021
Shogo was a breath of fresh air for me. He was a table setter, shift buster and a guy that can hit the ball on the ground and low line drives to the left side.
He was a big reason for the run at the end of the year for the reds to make the playoffs. I don't think there is any need for him to change his approach to hit for more power
Doug Gray 01/06/2021
He thinks there is.
The Cincinnati Reds are the NL Central favorites in 2021
Reds have talked with free agent shortstop Marcus Semien
The Cincinnati Reds checked in on Corey Kluber
Steve Schoenbaechler on Cincinnati Reds sign Luis Castillo to a 1-year deal
Matthew ONeal on Cincinnati Reds sign Luis Castillo to a 1-year deal
Doug Gray on Reds agree to 1-year deals with Lorenzen, Mahle, Winker, Garrett
west larry on Reds agree to 1-year deals with Lorenzen, Mahle, Winker, Garrett
Doug Gray on Cincinnati Reds sign Luis Castillo to a 1-year deal
Colorado Red on Reds agree to 1-year deals with Lorenzen, Mahle, Winker, Garrett
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I found a useful website that lists a number of handset codes for S60-series phones.
What's very handy is that it lists a number of reset codes that could be useful if you get unstuck with your phone.
If anyone knows me, they'll know I have a love-hate relationship with my Nokia N80 and Orange. This helps me to try and resolve some of my long-standing issues.
Naturally, make sure that you back up your phone settings before doing anything daft.


Once you've successfully connected your data source, it's time to customize the content and structure of your widget(s). By hovering over your widget and hitting the gear icon at top right, you'll notice that there are a number of different menu options. We will cover each of these in detail below.
Whether you've made a new connection to one of our integrated web services, or you've connected a custom data source -- database, spreadsheet, API push or fetch -- the "Edit Widget Settings" menu will now offer new options to modify the data being passed through to your widget ("Data Settings" tab), and the structure of the visualization used to represent this data ("Widget Settings") tab.
We will explain how you can use the "Edit Widget Settings" menu in more detail below, both for widgets connected to a web service integration and for those pulling in custom data.
Continuing our Google Analytics example from the Step 2: Connecting your data guide, perhaps you're interested in monitoring the total number of site visitors for the past day rather than the past hour (the default setting). To modify your data accordingly, you'd simply need to select a different option from the "Data Resolution" drop-down. Or perhaps you're interested in representing analytics data from another website that is connected to your Google Analytics account -- simply select the connected website from the "Account" drop down.
The "Widget Settings" tab will assist you in structuring the visual elements of your widget. Using our example, you could modify the historical timeline of your data -- do you want to see your site visitors tracked over the past week? The past month? The past year? Use the "Time Period" drop drown to modify the x-axis to suit your specific needs. Or maybe you want to modify the bounds of your y-axis, change your widget title, or pick a unique color for your sparkline -- these can all be accomplished within the widget settings menu.
Please note that the options presented in our data and widget settings tabs will differ by service, and by visualization. With this in mind, we encourage users to experiment with the various settings that will impact the content and structure of their widgets. If you're having specific issues with the Edit Widget Settings menu that is preventing you from surfacing the metrics that matter most to you, please send a note to our support team.
Once you've made the desired changes to your data and widget settings, hit the blue "Save" button to return to your dashboard and view your populated widget. To build a compelling set of dashboards you'll follow these steps many times over, combining metrics from various services and sources until your dashboards present a compelling story to your team.
As our custom data tools retrieve and represent data in an entirely different fashion than our out-of-the-box web service integrations, your options within the data and widget settings tabs will differ slightly. When connecting data from a database, CSV, Google Sheet, or using our API, the AppInsights app will expect that your data has already been processed and formatted to cooperate with the visualization that you've chosen. As a result, the Data Settings tab will present options for connecting your data -- i.e. providing your database query, selecting your Google sheet cells -- rather than options that will allow you to modify the content of the data itself.
The Widget Settings tab will function very similarly for visualizations that are populated with custom data. Users will have basic options to customize the visual elements of the widget -- these will vary depending on the visualization employed. Please note that depending on the format of the data being passed through, the specifications you make within the Widget Settings menu can change the visualization in such a way that might negatively impact the presentation of your data. For instance, uploading one week of data for a line graph using the CSV upload tool and then specifying that you would like your widget time range (x-axis) to cover the last year will yield a graph that is largely empty.
If you have more questions about the best way to represent a certain type of custom data using our available visualization options, please send a ticket to our support team.
This menu option will allow you to move an existing widget to another dashboard. This move will preserve the widget, the data it contains, all its settings, and it's data stream identifier.
This menu option will allow you to create a copy of your widget, either on the current dashboard or on another dashboard of your choosing (space permitting). Please note that your widget copy will maintain the same settings and data, but will carry a new widget identifier (for advanced styling purposes).
Any widget with this menu option will allow you to manually enter data into a text window, which will then be instantly surfaced within your widget. Please note that if this is used on a widget that is actively streaming data from one of our service integrations, any incoming data will still be pushed into the widget as normal. This means that in most cases, new data will displace whatever you've manually added. The Add Data option is most commonly leveraged by users of our HTML widget.
This menu option is exclusive to users on our 20-dashboard "Engage" plan. Part of our Collaboration feature, Analyze Widget will zoom in on your selected widget and allow you to swap between your visualization and the raw data that is used to populate it. Users on your account will also have the ability to add comments to widgets through the menu, which are then viewable in the Collaboration window.
This menu option will let you download all the data that is currently contained within your widget to a .CSV file. For your convenience, the .CSV file will contain your widget's data stream identifier, and will be formatted for compatibility with our CSV upload tool.
This will delete your widget permanently, along with any data contained within. Once selected, a warning will appear. However, once you confirm that you would like to delete your widget, you will not be able to undo the deletion and your data will be permanently lost.


text:
C2I Awards
Archive opinion — Trevor Baylis, inventor of the wind-up radio
5th March 2017 12:00 am 15th January 2019 10:51 am
Inventor Trevor Baylis sadly passed away on 5 March 2018. In this opinion piece from July 2011, Baylis talked about the challenges facing young engineers.
Testing times: young inventors get little practical help and advice to get their idea implemented
These are testing times for young inventors. Spending cuts have taken so much out of the economy that growth in the engineering and manufacturing industry over the next few years will be slow, threatening the next generation of budding inventors.
A lack of training is only half the issue. Even when young inventors manage to identify a solution to a problem, there is little support to give them the practical help and advice they need to get their idea implemented.
When I came up with the idea of Orange Aids back in 1985, intellectual property and patenting were completely new concepts to me. I went into business blind as a result, having been given no guidance whatsoever on how to turn my idea into something commercially viable. I made deals too hastily, doing business on a handshake and my word of honour, and I made a number of errors as a consequence. I still regret these to this day.
Programmes such as the BBC's Dragons' den have certainly increased awareness of the need to strike a sound business deal when starting out with a new invention, but many young engineers are still at a loss about how and where to obtain the guidance they need. That's the reason I set up Trevor Baylis Brands: to help protect other people from making the same mistakes as I did. Assisting young inventors with patent searches, technical advice and product protection can really give them a good grounding to help put their concept into production.
I've recently taken up the role of Patron for AidEx. Taking place in Brussels from 19-20 October, it is the first time the event has been held and it promises to allow suppliers of humanitarian aid to meet with charities and NGOs to improve the efficiency of aid delivery. One of the key features of the show is the Aid Innovation Challenge, where budding inventors come up with solutions for use in disaster-relief operations. It's a simple concept, but it's competitions such as these that get people thinking about how they can adapt existing technologies to help those people who need it most. It also provides young inventors with a platform to get their ideas heard something that can be a real struggle when starting out.
For instance, there were six years between me coming up with the first prototype of my Wind Up Radio and actually putting the concept into production. Despite a barrage of rejections from some of the leading manufacturers, I had the stamina to stick with it, because I was so confident in my idea. But there are so many brilliant ideas that get 'lost', when battling against a tough commercial sector.
I would encourage anyone who has an innovative idea, but is unsure how to take it forward, to first ensure their idea is original. This can be done by having a good look at search engines, or by carrying out a worldwide patent search for similar innovations or patented ideas. What's crucial is that inventors do not fall into the trap of disclosing their ideas to anyone unless under the protection of a non-disclosure agreement; otherwise it will not be possible to obtain a patent. These can be filed for quickly and at no charge by contacting the UK Intellectual Property Office.
As an industry, we really need to encourage and support young, talented engineers to help them transform their ideas into something tangible.
Trevor Baylis OBE
Inventor and patron of humanitarian aid event AidEx
Studied mechanical and structural engineering at Willesden College
1985 Developed a range of products for the disabled called Orange Aids
1991 Invented the Freeplay Wind Up Radio, which was groundbreaking in its ability to communicate the danger of the spread of AIDS to the people of Africa. It was later featured on Tomorrow's world and in
1996 awarded the BBC Design Award for Best Product and Best Design
1997 Awarded an OBE and featured in an edition of This is your life
2003 Set up Trevor Baylis Brands, a company formed to protect inventors and seek routes to market for commercially viable ideas
2011 Became patron for humanitarian aid event AidEx
READ MORE FROM THE ENGINEER ARCHIVE
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mike blamey 6th March 2018 at 2:18 pm
what a dear man who it was my privilege to hear speak a couple of times. I recall that he would start by putting up slides of all the rejection letters he received from the DTi, their experts, banks, other financial houses, and so on: which told him in no uncertain terms that he was headed to Carey St: and there was no money to be made in any of his inventions: and then, with the raising of some fingers in a Churchill gesture, put up a recent bank statement. There appeared little correlation!
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Mark Warwicker 7th March 2018 at 11:34 am
A lovely man who I was lucky enough to meet with my Dad many years ago: overflowing with enthusiasm for everything with which he was involved. Definitely won't be forgotten.
John Lane 7th March 2018 at 1:40 pm
I met him many years ago now, at a trade show. He was a very polite and friendly man, and was very supportive when I showed him my own (now expired) patent for 3D-TV. In fact he was very complimentary about the patent, and suggested that I should look at writing them for a living! It is sad that he is no longer with us.
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text:
Q: What are the effective ways to work Node js with a large JSON file of 600 MB and more? What are the effective ways to work Node js with a large JSON file of 600 MB and more?
My partner gives me from his REST API wery large JSON file. 600mb,  1000mb
Its structure is as follows

{ nameid1:[list id,....], nameid2:[list id,....], }

[list id,....] - An array with ID can be up to hundreds of millions of records.
Now to work with such files I use the following sequence of actions.

*

*I save it to hard drive

*With the sed command, from a single-line file, I make it multi-line
Example

exec (`sed -i 's /', '/', '\ n / g' file.json)

*I work directly with the file using readline

I tried to use JSONStream but it causes FATAL ERROR: CALL_AND_RETRY_LAST Allocation failed - JavaScript heap out of memory
function getStream() {
    let jsonData = __dirname + '/jsonlarge/file.json',

    stream = fs.createReadStream(jsonData, {
        encoding: 'utf8'
    })

    parser = JSONStream.parse('*');
    stream.pipe(parser)
    parser.on('data', (data) => {
        console.log('received:', data);
    });
}

Example structure json file
{"Work":"12122001","name":"Regist","world":[{"name":"000000","point":"rfg","Content":["3202b9a3fba","121323","2343454","45345543","354534534"]}, {"name":"000000","point":"rfg","Content":["3202b","121323","2343454","45345543","354534534"]}, {"name":"000000","point":"rfg","Content":["320","121323","2343454","45345543","354534534"]}]}

Maybe someone knows a faster way to work with such files.
Thanks

redpajama_set_name: RedPajamaStackExchange


Tim Gideon OnePlus Bullets Wireless For the price, the OnePlus Bullets Wireless earphones deliver a solid, bass-forward Bluetooth audio experience.
Powerful, bass-forward audio performance. Earpieces magnetically snap together and power down. Solid mic intelligibility. Affordable.
Sound signature is too bass-heavy for purists. Fit could be slightly more secure. Not ideal for gym use.
For the price, the OnePlus Bullets Wireless earphones deliver a solid, bass-forward Bluetooth audio experience.
Did you know that OnePlus, best known for its popular phones, also makes audio products? Like the OnePlus 6, the $69 Bullets Wireless Bluetooth earphones represent a decent value. But while they boast solid battery life and a user-friendly design—including magnetic earpieces that automatically power down when snapped together—the earphones are less gym-friendly than much of the in-ear competition. Furthermore, the audio experience is likely to appeal more to big bass lovers than those seeking an accurate balance between lows and highs. But the price is right, and if extra bass is your thing, the affordable Bullets Wireless won't disappoint.
Available in black, the Bullets Wireless are neckband-style earphones with a semi-rigid band behind the neck, and thin cabling leading from the band to the earpieces. The aluminum alloy earpieces are lightweight, with a glossy contour and some red highlights. Each earpiece utilizes both silicone eartips and earfins, providing a stable, secure in-ear fit (though the fins don't quite stabilize the overall fit as well as some competing models do). You get three pairs of eartips, and three pairs of stabilizing fins, all in small, medium, and large sizes.
The band is weighted on both ends, and one of these weighted compartments houses the power/pairing button, as well as the micro USB port for the included charging cable. Notably, the port has no cover to protect it from moisture. OnePlus claims they're water resistant, but lists no IP rating, and warns against going swimming with them. This tells us that the IP rating is below IP7 and the earpieces can't be submerged in water. So, get them sweaty, wear them in light rain, rinse them off gently, but be wary of getting the Bullets Wireless too wet.
Near the left earpiece, there's an inline remote control and mic compartment with three buttons. A central button controls playback, track navigation, voice assistance, and call management, while the outer plus/minus buttons control volume. The built-in mic offers ideal intelligibility. Using the Voice Memos app on an iPhone 6s, we could understand every word we recorded clearly, with very little in the way of fuzzy audio artifacts.
The earpieces clip together magnetically, which is nothing new, but doing this also automatically pauses playback on your music and powers down the earphones. If all Bluetooth earphones had a feature like this, people would be getting much better battery life.
Speaking of battery life, OnePlus estimates roughly eight hours on a full charge, and claims that charging the earphones for merely 10 minutes will net you five hours of playback. That's impressive, but also remember that all of these figures are estimates—your volume levels will have a greater say over your results than anything else.
Other than the charging cable and earpieces, the only accessory is a red silicone pouch that doesn't zip up—it has magnets that close it, but it doesn't create a fully protected seal of the pouch's contents. However, it's of a fairly generous size, so it easily houses the earphones, cable, and eartips.
On tracks with intense sub-bass content, like The Knife's "Silent Shout," the Bullets Wireless deliver a thumping low frequency response that will appeal to bass lovers. At top volumes, the bass doesn't distort, and at more moderate levels, the lows are still powerful. In fact, the mix seems a little shifted toward the lows in terms of overall balance, with the high-mids and highs dulled slightly.
Bill Callahan's "Drover," a track with far less deep bass in the mix, gives us a better sense of the general sound signature. The drums on this track pack some extra thunder, but aren't boosted to unnatural levels. Callahan's baritone vocals receive a pleasant rich presence, but again, the high-mids and highs feel just slightly dialed back. Things never sound muddy, but Callahan's voice lacks the treble edge it often gets from the high-mids, and the acoustic guitar strums lack some of the brightness and immediacy they have when there's a little more high-mid and high frequency presence. It's not a poorly balanced sound signature—it's more or less a subtle lean toward the lows—but it is noticeable.
On Jay-Z and Kanye West's "No Church in the Wild," the kick drum loop doesn't receive as much high-mid presence as we typically hear, so its attack is less sharp and punchy. The sustain of the loop gets some added low frequency thump, however, and the sub-bass synth hits that punctuate the beat are delivered with thunderous rumble. The three vocal performances on this track are delivered cleanly and clearly, but because there's a little more emphasis on bass depth than higher frequency presence, they can at times sound as if they're doing battle with the mix's more powerful low frequency elements.
For orchestral tracks, like the opening scene from John Adams' The Gospel According to the Other Mary, the lower register instrumentation is given some extra bass presence, pushing it out of its supporting role and to the forefront of the mix. The higher register brass, strings, and vocals still have plenty of crisp presence, but the high-mids are notably dialed back, so things are a little less bright and detailed than they typically are.
The OnePlus Bullets Wireless earphones provide a bass-forward experience that cannot be described as accurate. But if big, deep bass is your thing, they won't disappoint. If you're looking for a more exercise-friendly in-ear pair in this price range, consider the even more affordbale JBL Endurance Sprint, which is fully waterproof and also packs some solid bass depth. We're also fans of the JBL Reflect Mini 2, the JLab Epic Sport Wireless, and the Jaybird X3, all of which are a little more exercise-focused. At $70, however, the Bullets Wireless are a solid Bluetooth option with a substantial bass-forward approach.
Bottom Line: For the price, the OnePlus Bullets Wireless earphones deliver a solid, bass-forward Bluetooth audio experience.


text:
Q: tick labels in flot chart not displaying I have a page with four quadrants. Each quadrant has a flot chart representing data from a saved report. Clicking on a chart takes the user to a dashboard area where one can see a larger version of that flot chart, tabular data, and UI controls to change settings. All of this worked.
Last week I upgraded to flot 0.8.3. Suddenly the charts in the page with the quadrants are all missing their tick labels. Everything else is working fine: the chart graphs the data correctly and when you click on the chart to see the report in the dashboard, the larger flot chart works perfectly, including the tick labels.
In both charts, the chart data is identical:
[
  {
     "color":"#1592ab",
     "groupData":[
        {
           "type":"product",
           "label":"8M MAX",
           "splitTypeLegend":"Product"
        }
     ],
     "splitGroups":[
        {
           "splitType":"product",
           "splitIdentifier":"677",
           "splitLabel":"8M MAX"
        }
     ],
     "label":"8M MAX (1 units)",
     "hoverable":true,
     "data":[
        [
           1401494400000,
           34.932668,
           "1",
           "2",
           "",
           ""
        ],
        [
           1401580800000,
           37.06447464,
           "1",
           "6",
           "",
           ""
        ],
        [
           1401667200000,
           37.21810664,
           "1",
           "6",
           "",
           ""
        ],
        [
           1401753600000,
           32.85324,
           "1",
           "1",
           "",
           ""
        ]
     ]
  },
  {
     "color":"#871010",
     "groupData":[
        {
           "type":"product",
           "label":"8M WBC",
           "splitTypeLegend":"Product"
        }
     ],
     "splitGroups":[
        {
           "splitType":"product",
           "splitIdentifier":"676",
           "splitLabel":"8M WBC"
        }
     ],
     "label":"8M WBC (1 units)",
     "hoverable":true,
     "data":[
        [
           1401408000000,
           35.485664,
           "1",
           "1",
           "",
           ""
        ],
        [
           1401494400000,
           34.92812,
           "1",
           "2",
           "",
           ""
        ],
        [
           1401580800000,
           37.436968,
           "1",
           "1",
           "",
           ""
        ]
     ]
  },
  {
     "color":"#21632f",
     "groupData":[
        {
           "type":"product",
           "label":"24M WBC",
           "splitTypeLegend":"Product"
        }
     ],
     "splitGroups":[
        {
           "splitType":"product",
           "splitIdentifier":"675",
           "splitLabel":"24M WBC"
        }
     ],
     "label":"24M WBC (1 units)",
     "hoverable":true,
     "data":[
        [
           1401408000000,
           36.67866,
           "1",
           "2",
           "",
           ""
        ],
        [
           1401494400000,
           33.975452,
           "1",
           "2",
           "",
           ""
        ],
        [
           1401580800000,
           36.545028,
           "1",
           "2",
           "",
           ""
        ],
        [
           1401667200000,
           37.554504,
           "1",
           "1",
           "",
           ""
        ]
     ]
  },
  {
     "color":"#cf8c19",
     "groupData":[
        {
           "type":"product",
           "label":"80M 20M FTTCWBC",
           "splitTypeLegend":"Product"
        }
     ],
     "splitGroups":[
        {
           "splitType":"product",
           "splitIdentifier":"678",
           "splitLabel":"80M 20M FTTCWBC"
        }
     ],
     "label":"80M 20M FTTCWBC (1 units)",
     "hoverable":true,
     "data":[
        [
           1401408000000,
           36.147816,
           "1",
           "1",
           "",
           ""
        ],
        [
           1401494400000,
           35.66955064,
           "1",
           "12",
           "",
           ""
        ],
        [
           1401580800000,
           37.06554,
           "1",
           "6",
           "",
           ""
        ],
        [
           1401667200000,
           36.92269864,
           "1",
           "6",
           "",
           ""
        ],
        [
           1401753600000,
           34.992038,
           "1",
           "4",
           "",
           ""
        ]
     ]
  },
  {
     "color":"#634b4b",
     "groupData":[
        {
           "type":"product",
           "label":"--Unassigned--",
           "splitTypeLegend":"Product"
        }
     ],
     "splitGroups":[
        {
           "splitType":"product",
           "splitIdentifier":"0",
           "splitLabel":"--Unassigned--"
        }
     ],
     "label":"--Unassigned-- (1 units)",
     "hoverable":true,
     "data":[
        [
           1401580800000,
           37.508096,
           "1",
           "1",
           "",
           ""
        ],
        [
           1401753600000,
           33.2178,
           "1",
           "1",
           "",
           ""
        ]
     ]
  }
]

The options are very similar, the only difference is that interactions with the flot chart are turned off in the quadrant view.
Here are the chart options for the quadrant view:
{
  "grid":{
     "margin":{
        "top":10,
        "bottom":10,
        "right":0,
        "left":25
     },
     "markings":false
  },
  "legend":{
     "labelBoxBorderColor":"#666666",
     "noColumns":3,
     "show":true,
     "container":"#report0legend"
  },
  "series":{
     "bars":{
        "show":false
     },
     "lines":{
        "show":true
     },
     "points":{
        "radius":1.5,
        "show":true
     },
     "shadowSize":0
  },
  "xaxis":{
     "axisLabelFontFamily":"Arial",
     "axisLabelFontSizePixels":12,
     "dayNames":[
        "Sunday",
        "Monday",
        "Tuesday",
        "Wednesday",
        "Thursday",
        "Friday",
        "Saturday"
     ],
     "font":{
        "size":12,
        "family":"Arial",
        "color":"#333"
     },
     "monthNames":[
        "Jan",
        "Feb",
        "Mar",
        "Apr",
        "May",
        "Jun",
        "Jul",
        "Aug",
        "Sept",
        "Oct",
        "Nov",
        "Dec"
     ],
     "timezone":"utc",
     "axisLabel":null,
     "labelAngle":-45,
     "mode":"time",
     "tickFormatter":null,
     "tickSize":null,
     "minTickSize":[
        1,
        "day"
     ],
     "timeformat":"%d %b %Y"
  },
  "yaxis":{
     "axisLabelFontFamily":"Arial",
     "axisLabelFontSizePixels":12,
     "font":{
        "size":12,
        "family":"Arial",
        "color":"#333"
     },
     "autoscaleMargin":0.01,
     "axisLabel":"HTTP MT Downstream (Mbps)",
     "min":0,
     "tickFormatter":null
  },
  "metricName":"HTTP MT Downstream",
  "metricUnit":"Mbps",
  "mode":"time"
}

And for the dashboard view:
{
  "crosshair":{
     "color":"#1592ab",
     "mode":null
  },
  "grid":{
     "hoverable":true,
     "margin":{
        "top":20,
        "left":40,
        "bottom":20,
        "right":20
     },
     "markings":false,
     "clickable":true,
     "mouseActiveRadius":10
  },
  "legend":{
     "noColumns":3,
     "show":true,
     "container":"#graph-legend",
     "labelBoxBorderColor":"#666666"
  },
  "selection":{
     "mode":"xy"
  },
  "series":{
     "bars":{
        "show":false
     },
     "lines":{
        "show":true
     },
     "points":{
        "show":true
     },
     "shadowSize":0
  },
  "xaxis":{
     "axisLabelFontFamily":"Arial",
     "axisLabelFontSizePixels":12,
     "dayNames":[
        "Sun",
        "Mon",
        "Tue",
        "Wed",
        "Thu",
        "Fri",
        "Sat"
     ],
     "font":{
        "size":12,
        "family":"Arial",
        "color":"#333"
     },
     "monthNames":[
        "Jan",
        "Feb",
        "Mar",
        "Apr",
        "May",
        "Jun",
        "Jul",
        "Aug",
        "Sept",
        "Oct",
        "Nov",
        "Dec"
     ],
     "timezone":"utc",
     "axisLabel":"Day",
     "labelAngle":-45,
     "mode":"time",
     "tickFormatter":null,
     "tickSize":null,
     "minTickSize":[
        1,
        "day"
     ],
     "timeformat":"%d %b %Y"
  },
  "yaxis":{
     "axisLabelFontFamily":"Arial",
     "axisLabelFontSizePixels":12,
     "font":{
        "size":12,
        "family":"Arial",
        "color":"#333"
     },
     "axisLabel":"HTTP MT Downstream (Mbps)",
     "autoscaleMargin":0.01,
     "min":0,
     "tickFormatter":null,
     "ticks":20
  },
  "metricName":"HTTP MT Downstream",
  "metricUnit":"Mbps",
  "mode":"time"
}

I added a console.log(axis) inside drawAxisLabels() on line 2184 of jquery.flot.js and all the labels are being added correctly to the array of ticks. They simply aren't rendering on the chart.
Any thoughts? (If you need further code, please ask. I believe I've included the relevant bits, but if more is needed I can supply it.)
Edit: I have created a simplified version of my page on jsfiddle.

A: Around line 72 of your fiddle you have this line:
graphCanvas.removeClass('nodata').children('div').empty().remove();

This corresponds to grab the first div in my placeholder div and empty it.  That div you are emptying contains the axis labels.
Here's a fiddle commenting out that line.


TLC just announced last week that it is canceling the Duggar family's reality show, but not before it airs a documentary about survivors of molestation, which will involve two of Josh's sisters.
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Foundry Corporate News - TOP - Melting shop - TOP - Environment / Energy - GIFA - Topic Melting Shop - Topic Enviroment, Energy & Safety
Inductotherm, Powerit to Offer Integrated Energy-Management Programs
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MAMUJU, Indonesia (AP) — Relief workers struggled Tuesday to clear the rubble of collapsed buildings on an Indonesian island where a strong earthquake killed at least 90 people and left thousands homeless. The 6.2 magnitude earthquake on Friday was one of a series of recent disasters to hit Indonesia....
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MAMUJU, Indonesia (AP) — Aid was reaching the thousands of people left homeless and struggling after an earthquake that killed at least 84 people on an Indonesian island where rescuers intensified their work Monday to find those buried in the rubble. More rescuers and volunteers were deployed in the...
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Damaged roads, lack of gear hinder Indonesia quake rescue
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At least 42 dead as Indonesia quake topples homes, buildings
MAMUJU, Indonesia (AP) — A strong, shallow earthquake shook Indonesia's Sulawesi island just after midnight Friday, toppling homes and buildings, triggering landslides and killing at least 42 people. More than 600 people were injured by the magnitude 6.2 quake, which sent people fleeing their homes in the...
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Officials say fire in Rohingya refugee camp in Bangladesh has destroyed hundreds of homes. No casualties are reported.
DHAKA, Bangladesh (AP) — Officials say fire in Rohingya refugee camp in Bangladesh has destroyed hundreds of homes. No casualties are reported.
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SPOKANE, Wash. (AP) — A powerful wind storm rolled through the Pacific Northwest, killing one person and leaving a trail of damage -- including a highway shut down after a landslide and a tractor-trailer that was nearly blown off a bridge. More than 500,000 people lost power. The death happened in Spokane,...
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Fabric Genomics™, a global leader in clinical interpretation of genomic data, announced today that it is offering select customers the option of using 'Build 38,' the most current reference genome assembly, for their clinical genetic testing efforts. Technically known as GRCh38, this reference build has many advantages over previous iterations.
Build 38 was released by the Human Genome Consortium to succeed Build 37, which had been the standard human reference genome since 2009. Build 38 is the most up-to-date representation of the human genome sequence. It repairs incorrect assemblies from Build 37, removes some incorrectly assigned pathogenic alleles, adds centromere sequences and improves the reference genome in critical gene-rich regions; it also increases the number of alternate loci, thus allowing for a more accurate representation of human variation. These improvements enable researchers to remove well-known errors that hinder automated clinical workflows, and gain access to areas of the genome that had been virtually unknown before.
Earlier this year, Fabric Genomics began providing the new reference genome in its platform to Genomics England, and is now offering other users early access to the Build 38 pipeline. Thus far, Fabric Genomics has processed more than 3000 patient genomes on Build 38 for Genomics England, the UK's Department of Health and Social Care-funded company that was set up to deliver the 100,000 Genomes Project, an ambitious effort that is sequencing whole genomes from patients with rare diseases and common cancers.
"We're very proud to be able to provide more users with early access to the most current reference genome," said Martin G. Reese, PhD, Fabric Genomics' President and CEO. "Having worked with Genomis England, which runs the most well-respected genome project in the world, we have fully tested and validated our pipeline and are now in a position to serve additional clinical laboratories. We look forward to seeing how it can enhance users' critical research and clinical efforts."
"GRCh38 has been available for several years now," said Augusto Rendon, PhD, director of Bioinformatics at Genomics England. "We were keen to adopt it in the 100,000 Genomes Project as early as possible to ensure that as many participants as possible would benefit from its advantages. Fabric's delivery of their system supporting Build 38 has enabled us to provide prompt genome analyses to the labs and hospitals that participate in the 100,000 Genomes Project."
Laboratories and institutions interested in adopting Fabric Genomics' Build 38 Early Access Program will have access to the proprietary Fabric Enterprise™ platform, and the ability to annotate, interpret and generate clinical reports on their Build 38 genomes. The platform utilizes cutting-edge bioinformatics tools such as VAAST™ and Phevor™.
"We're pleased to see Fabric Genomics incorporating GRCh38 into their workflow," said Valerie Schneider, PhD, a member of the Genome Reference Consortium (GRC). "We think their customers will see very quickly the richness of this latest reference genome. With its greater contiguity, improved coverage of complex genomic regions and increased representation of population diversity, Build 38 better supports annotation than the prior assembly version, and will open many new doors and new opportunities for more accurate and meaningful analysis."
In addition to offering Build 38, Fabric Genomics is announcing the availability of its third generation clinical variant detection tool, VAAST variant prioritizer (VVP), which will be available on Build 38 (Yandell, et al., BMC Bioinformatics 2018). VVP is a highly scalable algorithm, able to prioritize sequence variants anywhere in the genome for rapid, accurate variant interpretation.
Fabric Genomics will discuss its Build 38 Early Access Program at its booth (#411) during the American Society of Human Genetics conference, to be held in San Diego from October 16-20. Other activities include a presentation by Fabric Genomics' Director of Clinical Interpretation, Melanie Babcock, PhD, focused on case studies of patients with rare genetic disorders (Wednesday, October 17, 3:15-3:45 p.m.), and a poster presentation by Francisco M. De La Vega, PhD, Senior Vice President of Genomics, focused on phenotype-driven burden testing for variant analysis (Thursday, October 18, 2:00-3:00 p.m.).
Fabric Genomics is making genomics-driven precision medicine a reality. The company provides clinical-decision support software that enables clinical labs, hospital systems and country-sequencing programs to gain actionable genomic insights, resulting in faster and more accurate diagnoses and reduced turnaround time. Fabric's end-to-end genomic analysis platform incorporates proven AI algorithms, and has applications in both hereditary disease and oncology. Headquartered in Oakland, California, Fabric Genomics was founded by industry veterans and innovators with a deep understanding of bio-informatics, large-scale genomics and clinical diagnostics. To learn more, visit www.fabricgenomics.com and follow us on Twitter (News - Alert), LinkedIn, and Facebook.


This entry was posted on Friday, March 4th, 2011 at 5:20 pm and is filed under Data Graphics, Interactive. You can follow any responses to this entry through the RSS 2.0 feed. Both comments and pings are currently closed.
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Q: How to customize subplot horizontal space? I'm trying to create a heatmap. I want there to be a single column heatmap with one palette, and then immediately next to it, I'd like another heatmap. This is my code and what I've come up with so far, but I don't know how to get rid of all that whitespace in the middle? I can't seem to make this work. I know about subplots and columns/rows, but I don't know how to make it so that it's not equally divided (for example, 2 columns don't need equal amount of horizontal space). Any advice or examples would be appreciated.
#figure details
    fig = plt.figure(constrained_layout=True, figsize=(28,12))
    # fig.tight_layout()
    fig.suptitle('Most Common First & Second Letter Combinations', fontsize=28, va = 'top', ha = 'center')

    #most common first letters
    ax1 = fig.add_subplot(1,2,1)
    ax1 = sns.heatmap(df, annot=True, square=True, fmt=".2f", cmap='YlOrBr', xticklabels=False, vmin=0.0, vmax=0.2,
                      cbar_kws={'shrink': 1, 'location': 'left', 'pad':0.03})
    ax1.set_yticklabels(ax1.get_yticklabels(), rotation = 0, fontsize = 16)
    ax1.set_xticklabels(ax1.get_xticklabels(), rotation = 0, fontsize = 16)
    ax1.set_aspect('equal')

    #most common following letters
    ax2 = fig.add_subplot(1,2,2)
    ax2 = sns.heatmap(df2, annot=data2l, square=True, fmt = '', cmap='Blues', xticklabels=False, yticklabels=False, vmin=0.0, vmax=0.25,
                      cbar_kws={'shrink': 1, 'pad': 0.03})
    ax2.set_yticklabels(ax2.get_yticklabels(), rotation = 0, fontsize = 16)
    ax2.set_aspect('equal')

    plt.show()

That yields the following plot:

A: You could try:
fig.tight_layout()
And ajust the spacing using the pad variable.
Documentation: https://matplotlib.org/3.5.1/api/_as_gen/matplotlib.pyplot.tight_layout.html


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Q: How to deal with disparate survey response rate from different regions? Hi & thank you all in advance for your help!
I sent out a survey [to examine teacher satisfaction] to 3 school districts in New York state.
District A is large, district B is medium, & district C is small.  Let's say the response rate from District A is 25%, from District B is 3%, and from District C is 90%.
I don't want to report that the NY state response rate is 25 + 3 + 90/3.  I'd like to account for the size differential among the districts and the disparate response rate among the districts.  How do I do this?  Is there a weighing methodology/formula for this?
Thank you,
NJ

A: The canonical ways to calculate response rates are given by the Standard Definitions: Final Dispositions of Case Codes and Outcome Rates for Surveys by the American Association for Public Opinion Research. See http://www.aapor.org/Publications-Media/AAPOR-Journals/Standard-Definitions.aspx. The edition as of August 2016 when I am typing this is the 9th edition. The Standard Definitions are revised every two-three years to accommodate the changes in the survey protocols, frames, technologies, sampling practices, etc.
You need to think of this as the industry standard. If you report anything else that you come up with, this would look amateurish.


Evan Mandery is a graduate of Harvard College and Harvard Law School. He has published two works of non-fiction including Eyes on City Hall (Westview Press), a comical chronicle of his experience working on a doomed mayoral campaign. Dreaming of Gwen Stefani is his first novel.


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In Roman times, the Britons were described by Claudius as a brave and vigorous race. They lived in strongholds often in thick woods, surrounded by mounds or ditches. Inside these earthworks, they built their round thatched huts to live in and collected their cattle for safety. They were great hunters and used large dogs, somewhat resembling a deerhound for this purpose. Nadbury Camp on Edgehill, the nearest earthwork of this kind to Oxhill, was one of the entrenchments of the Dobuni Tribe.
The Saxons lived in villages surrounded by a mark or boundary. The centre of the village was called a "moot" green and around it clustered the houses, the whole defenced by a dyke or fence, often strengthened by a ditch. Saxon fields were divided into strips by borders of grass called "baulks". These strips were redistributed every year, the tillage in each field changing annually in regular course of rotation, with wheat, barley or oats, and certain sections remaining fallow in their turn. The class structure mainly consisted of three categories - gentlemen, peasants and slaves. The clothing for all classes was mainly of wool, but linen was occasionally used, and later became fairly common.
The Normans were the first to use stone for building. In their gigantic National Census, the Domesday Book in 1086, land was taxed in hides, each hide being approximately 200 acres. The King granted land to the overlord for a "knight's fee" which in theory meant that the income from such a piece of land would be sufficient to keep a knight fed and sufficiently well equipped to bear arms in the King's service. It was then usual for the overlord to let the land to a tenant or tenants. Agriculture and smithying were the principal occupations in Warwickshire in Norman times, and the total population of the County did not number more than 30, 000.
The Saxon administration of justice largely remained unaltered, being dealt with by a village "moot" with a King's Officer, and a hundred "moot" with a "Shire-reeve" or Sheriff.
Warwick was, of course, the most important town in the county, but next to this were Brailes and Tysoe. Kineton and Wellesbourne too were small towns of importance since they had both a market and a court.
Death swept through the county in 1348 in the form of a type of bubonic plague fostered by dirt and lack of sanitation. This was most fatal in the valley of the Avon. In 1369 the county suffered a further severe outbreak and a smaller one in 1375. This resulted in landowners being left without tenants, and tenants without overlords, smaller villages often being wiped out completely. Serfs and labourers filed the collars from their necks and seized their freedom, often to wander far afield begging and stealing. Crops remained ungathered, and land remained unplanted, so to add to the heavy toll exacted by the plague, came death from starvation.
Many villages still continued to suffer from "the death" in Tudor times. This was the heyday of the wool trade, and a great deal of land was enclosed for sheep farming, resulting in many depopulated villages. By the end of the 15th century a large number of South Warwickshire villages had disappeared almost without trace. In this part of the county villages tended to cluster around the manor house and the Church. The cottages were mostly built of wood smeared with clay, and consisted of one large room on the ground floor with a loft above for sleeping accommodation. Rushes were strewn on the floor which was often slightly lowered to enable the door to open more easily. There was usually a loom for weaving wool already spun on a distaff. The glove making trade in Warwickshire was booming. The roads in Tudor England were very bad, and horse-drawn vehicles thus infrequently used, pack horses with panniers being more useful. The roads were still infested with mercenaries left over from the Wars of the Roses, and travel was thus hazardous. Most of the remote rural villages relied almost entirely on pedlars for news.
At the beginning of the year 1700 it was estimated that more than a quarter of England was bare heath, waste and swamp. Game was so plentiful that preservation, as practised later, was unnecessary. Horses were relatively few, but cattle numbered about one to each member of the rural population.
To a traveller approaching any village, the surroundings would have presented a vastly different picture to that which we know so well today. He would first have seen woodland where commoners had the right to cut wood, then there would have been the village "waste" or rough common. Villages were usually established somewhere near a stream or river and near this would be found meadow lands or "ings" where hay was grown and cattle grazed. Above this would have been big open ploughlands - there were no hedges then - where the village grew its crops.
The usual system of agriculture in unenclosed villages was decided by twelve jurymen chosen annually at the Vestry Meeting, or the Court Leet. Oxhill did, in fact, have a Court Leet but very few of its records are still extant. A few notes still remain in the Shirley papers in the County Record Office, but these in the main consist of fines on various inhabitants of Oxhill - William Townsend, Richard Townsend, Samuel Kilby and others - for not appearing to do "suit and service" to the Lord of the Manor. These are all 17th century records, but as the Lordship of the Manor of Oxhill appears to have been almost constantly in dispute, it would then appear to have been connected directly with the Shirley family.
The twelve jurors were very strict about their agricultural policy. This seems to have been very necessary, since the parish had to be more or less self-supporting. Rules were stringent. Sheep must not be pastured on cow pasture, although those who held less than a "yard land" (approx. 35 acres) could rent a cow pasture on the common, usually for 10/-. Nothing at all could be let to an "out of towne" person.
No one could turn pigs into the common fields from the end of harvest until wheat sowing was begun. All animals must bear their owner's mark, and branding could only be done on Lady Day, Shear Day and All Saints. Regarding the arable fields, no one could mow any furrows in the wheat fields until after Lammas day: neither could anyone then plough any furrows, greenward or hades until the jury agreed. There were heavy penalties for driving a wagon or cart over land belonging to someone else, fines varying from 20/- down to 6d. The village would almost certainly have owned one or two ploughs of a heavy cumbersome wooden type. All ploughing was carried on at the same time on strips of land so narrow it was impossible to turn the plough. Cross ploughing or harrowing was, therefore, impracticable.
Hay harvest was not highly regarded, but the corn harvest was the crowning work of the year. Extra labour was required at this time, and discharged soldiers were often used as casual labour. Sons and daughters away from home always returned to help with the harvest, and in many school log books, the long August break is always referred to as "harvest holidays". To get the harvest in was a lengthy process, and often the last sheaf was not cut until All Hallows Eve. There was a superstition in this part of the county that the man who cut the last sheaf would have ill luck throughout the following year. After cutting the corn, the stubble was left about a foot high, and the cattle turned out to graze on it.