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Who is PMT™?
PMT is a leading Service Provider and Tech house in the Banking, Retail, Insurance, FinTech and Communications industries.
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What is WASPA?
The Wireless Application Service Providers' Association (WASPA) was formed in 2004 as a self-regulatory body with a mandate to represent and regulate its voluntary members, which provide mobile-based Value Added Services (VAS), otherwise known as WASPs.
As of 2018, it has over 400 members.
Membership of an industry body with a recognised Code of Conduct has been made compulsory by Telkom Mobile, Cell C, MTN and Vodacom for all WASPs.
WASPA's Code of Conduct and Advertising rules were developed and implemented in 2005. It has developed a complaints handling process, to enforce these rules, that is totally independent of the WASPA Board. Anyone may lodge a complaint and each complainant is given a reference number.
Complaints are handled by an independent secretariat who process complaints using a mandated civil procedure policy, while some 13 independent ICT lawyers and a 3-person appeals panel of ICT lawyers adjudicate the complaints lodged with the secretariat. An emergency panel of three WASPA adjudicators may sit to shut down offending services, pending a formal adjudication, where there is evidence of immediate and ongoing consumer harm.
These lawyers may adjudicate on any matter related to the WASPA Code of Conduct where a complaint has been lodged. All completed adjudications are posted publically on the WASPA web site. The adjudicators may sanction any infraction, which may include fines, suspensions, remedies, refunds, expulsion, or any combination thereof.
WASPA also has a compliance department who check advertising, and test services on a daily basis, for compliance with its Code of Conduct.
WASPA is also a prominent member of the International Audiotext Regulators Association.
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Amber™ USSD is deployed for several large Banks in South Africa, providing reliable and easy access to the banking platform by means of self-service. Our Amber™ platform has proven its worth by facilitating over 16 million unique SIM subscribers/phone numbers on our platform in one month, with over 42 million transactions facilitated by one platform in a month.
Emerald™ is directly integrated to all Major MNOs in South Africa and can likewise, be integrated to other MNOs in other territories like we are in various African Territories. In doing so we enable you to distribute Airtime which is either PINned or PINless.
The Amethyst™ Wallet solution provides a sophisticated Chart Of Accounts (COA) that can be configured to suit your transactional needs while enabling core Mobile Money Transfer (MMT) transactions. Wallet technology is essentially a value store against which Debits and Credits move in accordance with required business interactions.
The Crimson™ Engine is built to apply the ISO 8583 financial switching specification and conforms to both Issuing and Acquiring methodologies and roles regarding any financial communication between systems. Crimson™ has been implemented in Debit Card switching engines that service large Retail and Bank applications, as well to service last mile integrations for retail acquiring at large scale.
What is Erlang?
Erlang is a programming language used to build massively scalable soft real-time systems with requirements on high availability. Some of its uses are in telecoms, banking, e-commerce, computer telephony and instant messaging. Erlang's runtime system has built-in support for concurrency, distribution and fault tolerance.
Reference: https://www.erlang.org/
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An MIS report is a tool PMT uses to evaluate business processes and operations.
Pretend you are the manager of a medium-sized company's customer service department. Your staff takes phone calls and emails from over 300 customers every day. For the most part, they do a very good job, but recently, customers have started to complain that it takes too long to get their questions answered. Upper management at your company is concerned about this and wants to know what they can do to fix the problem. But before they make a decision, they need you to give them more information. How will you do this?
This is where MIS reports come in. MIS stands for management information system. Business managers at all levels of an organization, from assistant managers to executives, rely on reports generated from these systems to help them evaluate their business' daily activities or problems that arise, make decisions, and track progress. MIS system reporting is used by businesses of all sizes and in every industry.
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Passopisciaro Vini Franchetti - Mt Etna Legends
Andrea Franchetti arrived on Mt. Etna in 2000 and helped to initiate the renaissance of viticulture on the mountain and an international discovery of the region as a quality wine region. Franchetti makes eight different wines at his winery Passopisciaro, fewer than 8,000 total cases annually.
Etna is the highest active volcano in Europe, given to relatively frequent lava spills. These spills devastate the landscape, yet each flow leaves a unique mineral profile, giving rise to the notion of various terroirs, here called Contrade. The borders of the Contrade reflect old feudal property lines, which are still mapped out on the local land registry. At Passopisciaro, they respect and play to the strengths of the terroir on Etna, producing wines of remarkable complexity and individual personality.
Six of these wines are focused on the indigenous grape Nerello Mascalese, a late-ripening grape with little color, large bunches, strong skins, ancient vines grown on restored terraces at various altitudes across the mountain, selected for their density, vine age, and exposition. The wine Passorosso is a bright, holistic rendering of the grape that is unique and ever-present on the volcano, blending from different altitudes and lava flows. First made in 2001, it has been a textbook example of Etna wine ever since. Starting in 2008, Passopiscaro began to bottle the top sites separately, helping to usher in a cru system on Etna. These five Contrada wines — Chiappemacine, Porcaria, Guardiola, Sciaranuova, and Rampante — each come from vineyards of different ages and are each on a lava flow with different minerals, grain size, and altitudes.
In addition to the wines made of Nerello Mascalese, Passopisciaro produces two wines from international varieties, densely planted in the Contrada of Guardiola: a pure, mineral-driven Chardonnay, reminiscent of the great whites of Burgundy, as well as a produces a striking red, Franchetti, made with the grapes Petit Verdot and Cesanese d'Affile, denser and more concentrated than the wines of the local variety. Thus, while the Nerello wines are "wines of place" expressing their unique terroir, Franchetti is a true winemaker's wine, expressing a particular vision of the maker. Likened to Sassicaia in terms of the attention it first brought to its region, these wines demonstrate a particular genius and forethought to produce wines that could rank amongst the finest in the world.
The Nerello Mascalese wines of 2017 are strong in body, powerful in structure, with notes of ripe red fruits, blood orange, pomegranate, and camphor.
* Our pre-offer begins very soon, with the wines due February 2020
Passopisciaro Vini Franchetti PassoBianco (Guardiola) 2017
92 POINTS: Monica Larner, RobertParker.com
91 POINTS: Ian D'Agata, Vinous.com
13%Abv, 850-1000m Altitude
Variety: Chardonnay Remove This Item
White Wine (1)

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Image Title: Outdoor Wall Panels Exterior 3D For Prepare 4 Tubmanugrr Com Inside Waterproof Remodel 14. Filename: outdoor-wall-panels-exterior-3d-for-prepare-4-tubmanugrr-com-inside-waterproof-remodel-14.jpg. Image Dimension: 800 x 533 pixels. Images Format: jpg/jpeg. Publisher/Author: Gaston Bashirian. Uploaded Date: Sunday - March 04th. 2018 07:45:19 AM. Category: Architecture. Image Source: homedecor.com.
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Dinner clubs have been a popular activity for many Americans for decades. And why not? Combining the best of fabulous food and good friends with whom to share it, dinner clubs (or supper clubs as they are sometimes known) provide a regular opportunity for group members to get together and enjoy delicious meals together.
Whether you're a seasoned pro or wanting to try a dinner club for the first time, there is bound to be some anxiety over what to prepare. This is where the versatility of Prince Edward Island (PEI) mussels can get your creative culinary juices flowing.
For the uninitiated, shellfish dishes sometimes seem daunting, but are often easier to prepare than first thought. For a simple yet impressive recipe, Chef Lindsay recommends Mussels with Greens and Blue Cheese. For a more complex recipe that is very rewarding, she suggests dinner club enthusiasts try Mediterranean Mussel Salad.
Many dinner clubs are themed and offer meals from a different part of the world each month. The wonderful flavors of fresh mussels are as at home in classic European dishes like mussels Provencal as they are in sweet Thai dishes, exotic Asian dishes or spicy dishes like mussel laksa from India.
The Canadian Mussel Industry Council website at www.discovermussels.com is home to a wealth of recipes to try for your next dinner club gathering or for a healthy meal at home. With recipes from the flavor capitals of the world, you'll find numerous ways to prepare these delicious and sustainable mussels from PEI.
Rinse fresh blue mussels in tap water and set aside. Discard any mussel that does not close after being rinsed. Heat oil in a large pan over medium-high heat. Add pancetta, prosciutto or bacon and cook, stirring occasionally, until crispy. Add shallot and cook, stirring, for two to three minutes more. Add white wine, lemon juice and blue cheese. Stir briefly, then add mussels. Cover and leave to steam for five to seven minutes, or until mussels are open. Discard any mussels that do not open. Toss in greens and salt and pepper to taste. Transfer to a serving platter and garnish with lemon zest. Serve with slices of crusty bread.
Combine the spinach and tarragon in a large bowl. Lightly toss spinach and tarragon with the olive oil (1/4 cup oil blended with the honey). Season with salt and pepper and set aside in the refrigerator. Wash the fresh blue mussels in cold water. Set aside, discard any that do not close. Steam mussels in a covered pot until they open up (five to seven minutes), discarding any mussels that do not open. Remove meat from shells and set aside. Combine lemon juice, mustard, and herbs. Whisk in 1/3 cup olive oil in a light stream until fully incorporated. In a separate bowl, combine mussels, cucumber, tomatoes, peppers and black olives. Gently toss with the prepared vinaigrette. Set in the refrigerator for one hour to allow the flavors to combine. Season the chilled salad with salt and black pepper. Garnish with feta cheese and serve immediately.
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Pavle Predragović (Srbobran, 10. mart 1884 — 1928) bio je srpski slikar. Skoro je nepoznat današnjoj likovnoj javnosti.

Biografija

Njegovi roditelji Milan Predragović, rodom iz Bečeja i majka Nerandža, rođena Strahinjić, imali su devetoro dece od kojih su šestoro doživeli zrele godine: Pavle, Darinka, Julijana, Persida, Bosiljka i Milica. U Srbobranu gde je Milan Predragović jedno vreme radio kao bankarski činovnik, rođeni su samo Pavle i Darinka. Kada je Pavle imao nešto više od godinu dana, porodica se preselila u Beograd. U Beogradu je Pavle sa roditeljima prvobitno stanovao na Dorćolu, u ulici Strahinjića Bana, a zatim dugo u blizini Savinca u Nevesinjskoj ulici.

Osnovnu školu i četiri razreda gimnazije Pavle Predragović je završio u Beogradu, a zatim se upisao u Umetničko-zanatsku školu kod Bete i Riste Vukanović. U Umetničko-zanatskoj školi, po sećanju Pavlove sestre Julijane, Pavlu je predavao i Marko Murat. Predragović je nepune dve godine pohađao nastavu u Umetničko-zanatskoj školi.

Prvi svetski rat menja planove i želje Pavla Predragovića. Tridesetogodišnji slikar, kao i mnogi njegovi vršnjaci i kolege, odlazi u rat. U borbi kod Valjeva, Pavle je teško ranjen i zarobljen na bojnom polju. Do kraja rata kao ratni zarobljenik proveo je u Ašahu, logoru u Austriji. Posle rata Predragović se vratio u Beograd.

Od 1919. godine Predragović intenzivno slika. Nešto kasnije Pavle se ogleda i kao vajar radeći na dekorativnoj plastici. Sa Draganom Arambašićem i Šikoparijom izvodi skulpture za zgradu na uglu Nemanjine i Miloša Velikog ulice, bivšem Ministarstvu šuma i ruda. Predragović se bavio i muzikom.

Ukupno je evidentirano oko osamdeset Predragovićevih slika i crteža, a od tog broja više od polovine su slike rađene u tehnici ulja, dok su ostale akvareli i crteži kredom i olovkom. Njegova slikarska zaostavština nalazi se uglavnom kod porodice i beogradskih kolekcionara, a samo šest slika je u muzejima i to četiri u Narodnom muzeju u Beogradu i dve u Narodnom muzeju u Smederevskoj Palanci. Prikupljene slike našle su se pred javnošću prvi put 1975. godine na izložbi priređenoj u galeriji "Dušan Vlajić" u Skadarliji. Tada izložene slike, kao i mnoge druge viđene u privatnim posedima, nametnule su potrebu da se o ličnosti i delu Pavla Predragovića sazna nešto više, da se autor i delo otmu od zaborava.
Pavle Predragović je istrošenog zdravlja umro u Beogradu 1928. godine.

Рођени 1884.
Умрли 1928.
Србобранци
Српски сликари

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Channa Song from The Black Prince: is sung and lyrics is penned by Satinder Sartaj. Music is composed by Partners in Rhyme.
Channa Music video directed by Kavi Raz from the Punjabi - English movie The Black Prince starring by Satinder Sartaj, Amanda Root, Shabana Azmi and Jaso Flemyng.


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Home » Gadgets » Best Lgbtqp History Books in Australia 2023 – Reviews & Buyer's Guide
Best Lgbtqp History Books in Australia 2023 – Reviews & Buyer's Guide
Palacios Connie
We consulted top experts who has a wealth of in-depth knowledge about the Best Lgbtqp History Books in 2023 you are looking for. We chose the best quality product that comes with amazing features you've never heard of before. We have over 100+ products to choose from, so we can find just what you're looking for!
This list is undoubtedly the Best Lgbtqp History Books in the market today. However, if you don't want to spend more time on filtering and finding which one is Best Lgbtqp History Books, then you should absolutely go for our Top list of the Best Lgbtqp History Books. This list has all the basic features one could expect in a Best Lgbtqp History Books.
The Lives Of Lemurs: An Unnatural History
Antinori, Andrea (Author)
56 Pages - 10/27/2022 (Publication Date) - TRA Publishing (Publisher)
The Book of Three
Alexander, Lloyd (Author)
240 Pages - 10/03/2018 (Publication Date) - Usborne GB (Publisher)
Five Straight Lines: A History of Music
Gant, Andrew (Author)
656 Pages - 02/01/2022 (Publication Date) - Profile Trade (Publisher)
Furthermore, these three have additional competitions, so be sure to consult our rankings of the top 10 . If you're interested in purchasing a new , we suggest checking out our recommendations for the best . If you want to know more about the various types of available and how to pick the right one for you, keep reading!
1 Music Is History View on Amazon
2 Five Straight Lines: A History of Music View on Amazon
3 Best Fake Book Ever: C Edition View on Amazon
4 When The Day Leaves View on Amazon
5 My Family History: Notebook View on Amazon
6 Pride & Prejudice Songbook: Music from the Motion Picture Soundtrack View on Amazon
7 The Lives Of Lemurs: An Unnatural History View on Amazon
8 Affairs of the Heart View on Amazon
9 A Fine Romance: Complete Serie View on Amazon
10 Revelations: The Azellian Affairs Book Three View on Amazon
A list of the top 10 Best Lgbtqp History Books, in detail
Music Is History
Questlove (Author)
320 Pages - 12/16/2022 (Publication Date) - Abrams Image (Publisher)
Best Fake Book Ever: C Edition
802 Pages - 09/01/2023 (Publication Date) - Hal Leonard Publishing Corporation (Publisher)
When The Day Leaves
My Family History: Notebook
Wild Pages Press (Author)
150 Pages - 11/02/2017 (Publication Date) - CreateSpace Independent Publishing Platform (Publisher)
Pride & Prejudice Songbook: Music from the Motion Picture Soundtrack
MARIANELLI, DARIO (Author)
48 Pages - 11/01/2008 (Publication Date) - Hal Leonard (Publisher)
Audio CD – Audiobook
Sony Mod (Publisher)
A Fine Romance: Complete Serie
Revelations: The Azellian Affairs Book Three
NOTE: This is the Asian size, it
US Medium=China Large:Length:42.13"(107cm),Waist:29.13"(74cm),Hip:44.09"(112cm)
US Large=China X-Large:Length:42.52"(108cm),Waist:29.92"(76cm),Hip:45.67"(116cm)
US X-Large=China 2X-Large:Length:42.91"(109cm),Waist:30.71"(78cm),Hip:47.24"(120cm)
US 2X-Large=China 3X-Large:Length:43.31"(110cm),Waist:31.50"(80cm),Hip:48.82"(124cm)
We've put together a list of Best Lgbtqp History Books reviews that we hope will be helpful to you. If you'd like to know more about our website or our reviews, please feel free to contact us. We will be pleased to help you make the best possible purchase.
How To Buy Best Lgbtqp History Books In 2023
When making any major purchase, whether it's your first car, your wedding vows, or your firstborn child, you want to make sure that you're getting top-notch quality for your money. While some people may be price-insensitive and willing to sacrifice quality for a lower price, this is not the case for most of us. When making a purchase, you want to be confident that you're getting what you pay for. If you're in the market for a new personal care product in 2023, you've come to the right place! In this article, we'll be taking a look at some of the different ways you can buy personal care products in 2023.
Buying In A Store
If you're looking to buy Best Lgbtqp History Books products in a store, you have a lot of options. While there may be a smaller selection of products in a store compared to a department store, you can rest easy knowing that the staff in the store are trained to help guide you through the products so you end up with something that works for you.
Buying online is very popular in the personal care product world. It's easy to see why — after all, you can find what you want without having to leave your home. However, be careful when buying online. There are a lot of scams out there, and you should make sure you're buying from a reputable site. It's also a good idea to buy products that are known to be good, pure, and effective. That way, you can rest easy knowing that you're getting the most out of your hard-earned money.
Making A Purchase From A Label
Most personal care products come with a label that gives you information on how to buy more. You can buy these items in bulk and save a lot of money in the process!
Buying Direct From The Manufacturer
If you're brave enough to go directly to the manufacturer, you can save a lot of money. However, there are some risks associated with buying direct from the manufacturer. Since these companies make a lot of money from their products, they may not want to give you a full refund if you have a problem with your purchase.
Co-Op Purchasing
One way to buy personal care products in 2023 is by joining a co-op. These are groups of people who pool their money to buy large quantities of personal care products at discounted prices. There are a few different types of co-ops, some of which may be right for you.
Buying personal care products in 2023 is easier than ever. Whether you buy online, in a store, or make a bulk purchase from a label, there are lots of options available to you. It's important to do your research before making any purchases, though, to make sure you're getting the best bang for your buck.
Best Lgbtqp Biographies Books in Australia [year] - Top Rated Picks
Best Lgbtqp Parenting Families Books in Australia [year] - Budget and Premium
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SEQdata-BEACON: a comprehensive database of sequencing performance and statistical tools for performance evaluation and yield simulation in BGISEQ-500
Yanqiu Zhou1 na1,
Chen Liu1 na1,
Rongfang Zhou1 na1,
Anzhi Lu1,
Biao Huang1,
Liling Liu1,
Ling Chen1,
Bei Luo1,
Jin Huang1 &
Zhijian Tian1
BioData Mining volume 12, Article number: 21 (2019) Cite this article
The sequencing platform BGISEQ-500 is based on DNBSEQ technology and provides high throughput with low costs. This sequencer has been widely used in various areas of scientific and clinical research. A better understanding of the sequencing process and performance of this system is essential for stabilizing the sequencing process, accurately interpreting sequencing results and efficiently solving sequencing problems. To address these concerns, a comprehensive database, SEQdata-BEACON, was constructed to accumulate the run performance data in BGISEQ-500.
A total of 60 BGISEQ-500 instruments in the BGI-Wuhan lab were used to collect sequencing performance data. Lanes in paired-end 100 (PE100) sequencing using 10 bp barcode were chosen, and each lane was assigned a unique entry number as its identification number (ID). From November 2018 to April 2019, 2236 entries were recorded in the database containing 65 metrics about sample, yield, quality, machine state and supplies information. Using a correlation matrix, 52 numerical metrics were clustered into three groups signifying yield-quality, machine state and sequencing calibration. The distributions of the metrics also delivered information about patterns and rendered clues for further explanation or analysis of the sequencing process. Using the data of a total of 200 cycles, a linear regression model well simulated the final outputs. Moreover, the predicted final yield could be provided in the 15th cycle of the early stage of sequencing, and the corresponding R2 of the 200th and 15th cycle models were 0.97 and 0.81, respectively. The model was run with the test sets obtained from May 2019 to predict the yield, which resulted in an R2 of 0.96. These results indicate that our simulation model was reliable and effective.
Data sources, statistical findings and application tools provide a constantly updated reference for BGISEQ-500 users to comprehensively understand DNBSEQ technology, solve sequencing problems and optimize run performance. These resources are available on our website http://seqBEACON.genomics.cn:443/home.html.
Next generation sequencing (NGS, also known as high-throughput sequencing) has led us into the genomic era. In the past 15 years, the development of sequencing technology has been mainly committed to a reduction in cost and improvements in throughput, accuracy and read lengths. Currently, the sequencer manufacturers Illumina and Beijing Genomics Institute (BGI) provide high throughput and accuracy, while Pacific Bioscience and Oxford Nanopore offer long read lengths [1, 2]. The first BGI sequencer BGISEQ-500 was launched in 2015 (http://en.mgitech.cn/), which was based on two key technologies: DNA nanoball (DNB) and Combinatorial Probe-Anchor Synthesis (cPAS). In library preparation, DNA is fragmented, end-repaired and ligated with adapters. The ligation product is amplified by PCR for several cycles to become DNA libraries. These libraries are then circularized by DNA ligase with a splint oligo that was reverse complemented to one strand. Next, the DNA library circles are replicated with polymerase phi29 to form a single-stranded DNA molecule called a DNB by rolling circle amplification (RCA). The DNBs are dispersed and immobilized on a photolithographically etched, patterned flow cell by a loader machine. When sequencing, a probe is first annealed to a DNA molecular anchor on the DNB. In each cycle, DNA polymerase incorporates one base labeled with a fluorescence group, and the four colored light signals emitted by the bases are collected via a high-resolution imaging system and converted into bases after basecalling [3].
Recently, BGISEQ-500 platform has been widely used in a variety of sequencing applications, such as whole genome sequencing (WGS) [4], whole exome sequencing (WES) [5], RNA-seq [6], small RNA and metagenomics [7, 8]. BGISEQ-500 sequencing platform has not only participated in the transcriptome analysis of plant nitrogen metabolism [9] but also in human clinical applications for cancer genome sequencing and TP53 mutation detection in high-grade serous ovarian cancer [10, 11]. In addition, it has been reported that BGISEQ-500 has good performance at the single-cell resolution, such as in scRNA-seq and scCAT-seq [12,13,14]. Compared with the Illumina platforms, the BGISEQ-500 is cost-effective and has low error and duplication rates [1, 13]. The throughput per lane of BGISEQ-500 is approximately twice as HiSeq4000 in the PE100 sequencing type. The cost per gigabase (Gb) is 40–60% of that of the Illumina HiSeq4000 platform. The generation of DNBs is based on rolling circle amplification, which effectively prevents errors from PCR amplification. The sequencing data derived by BGISEQ-500 are compatible with widely used bioinformatics tools and pipelines such as GATK, bwa, HISAT, DEseq2 and SnpEff [15]. The only difference is the setting of some software parameters. To date, the results obtained from data generated from Illumina and BGISEQ-500 platforms have been comparable. For example, BGISEQ-500 demonstrates comparable SNP detection accuracy in WGS [10], similar consistency in variation detection in WES [5], and high concordance in transcriptome and metagenomic studies [16, 17]. Therefore, DNBSEQ technology provides a new choice for resolving issues in scientific research and agriculture, environment and clinical applications.
The performance of sequencers is very important for the throughput, quality and reliability of data generated in each run. Among the sequencing performance metrics in BGISEQ-500, yield (e.g., Reads, the number of DNBs recognized by the Basecall software) and quality (e.g., Q30, the percentage of bases with an error rate below 0.001) are of the highest concern. Other metrics regarding chemical reaction and instrument state are also recorded in the sequencing summary. However, we still lack a profound understanding of these metrics, especially the connections between them. As one of the world's largest sequencing service providers, BGI performs thousands of sequencing runs each year. Accompanied with enormous amounts of nucleotide data, massive sequencing performance data are highly valuable for illustrating this complicated process and for troubleshooting. Unfortunately, this type of datasets or databases are presently rare, and a comprehensive database is required to integrate the abundant run performance data.
In this study, we designed a database, SEQdata-BEACON, to comprehensively collect sequencing performance data from BGISEQ-500, including sample, yield, quality, machine state and supplies. We calculated Pearson's correlation coefficients for 52 numerical metrics for hierarchical clustering and analyzed their distribution patterns. We also used linear regression to establish yield simulation models to investigate the connections among yield correlated metrics and attempted to predict the final yield at the early stage of sequencing. All the data and statistical analysis results are available on our open access website. These resources can be used as an updating reference dataset for BGISEQ-500 users in different enterprises or schools to gain a deeper understanding of DNBSEQ technology.
Data collection and database construction
DNA libraries were loaded onto a patterned array. After successive chemical reactions, signal acquisition and basecalling, the sequencers normally generate a series of folders and files in each cycle or at the end of the sequencing process. In BGISEQ-500, more than 10 files recorded the run configuration data of the entire sequencing process, such as InputInfo_*.txt, RunInfo.txt, summaryReport.html, fovReport.QC.txt, BarcodeStat.txt and fq.fqStat.txt. We chose 60 BGISEQ-500 sequencers in the BGI-Wuhan lab and collected all available files generated following chemical reactions and basecalling. The criteria for selecting metrics from these files are as follows: 1) metrics of great concern and closely related to the sequencing process [18]; 2) metrics covering information on the sequencing type, the optical path state of the machine etc.; 3) metrics related to traceable information for troubleshooting. Based on these, we used flow cell identifier (FC) as an index to extract 64 metrics from data resources to create a database 'SEQdata-BEACON'. Each entry was assigned a unique identification number (ID). We accumulated lanes in paired-end 100 (PE100) sequencing since it is the major sequencing type in BGISEQ-500. No detailed sample information was entered into the database in order to protect the privacy of customers. The database was constructed on a MySQL server (version 8.0).
Web visual interface and statistical analysis
A user-friendly interface for SEQdata-BEACON was built on Apache (version 2.4.33 win64 VC15 server). The Google Chrome web browser (version 68.0.3440.106) is suggested to access the website. Statistical analysis and figures in this study were generated based on data obtained from our database with R software (version 3.5.0 x 64) with the ability to install additional packages as needed.
Yield simulation model
We used yield-related independent variables to construct the yield simulation model. First, considering the sequencing principle, DNB was the definitive source for yield. The number of successfully fixed DNBs on the patterned array determined the ability to produce reads [3, 18]. TotalEsr (Total Effective Spot Rate) multiplied by Dnbnumber excluded those spots without DNBs or with dark DNBs that showed no light signal and represented the maximum signal that could be successfully collected. Second, metrics that changed with the sequencing process were also included, such as BIC (Basecall information content), accGRR (Accumulated Good Reads Rate), SNR (Signal to Noise Ratio), FIT (indicates the distribution of differences between signal and noise for each base), Intensity (Light intensity of each base (ATCG) for each cycle), Runon and Lag (the percentage of read strands being out of phase with the current cycle). These metrics reflect the loss in final yield resulting from chemical reactions, light intensity, camera acquisition and basecalling in the sequencing process. The loss in yield is primarily composed of filtered reads. Third, the values of these metrics were collected from our database as the datasets. The correlations of each metric with yield were studied, and the ones that were linearly correlated with yield were chosen (Additional file 1: Figure S1). We used Tukey's boxplot to pinpoint the possible outliers, which were defined as observations that fell below Q1–1.5 IQR (interquartile range) or above Q3 + 1.5 IQR and excluded from the model construction. Finally, we constructed a linear regression (LR) model with TotalEsr*Dnbnumber, BIC, accGRR, SNR and FIT as input variables and yield (Reads) as the output variable. The LR model formula was as follows (Eq. (1)):
$$ Y={\beta}_0+{\beta}_1 TD+{\beta}_2B+{\beta}_3G+{\beta}_4S+{\beta}_5F+\varepsilon, \upvarepsilon \sim \mathrm{Normal}\left(0,\upsigma \right) $$
Y is the value of the dependent variable yield. T is the value corresponding to the current cycle in TotalEsr. D is the value of Dnbnumber at the beginning of the sequencing. B, G, S and F are the average values of BIC, accGRR, SNR and FIT, respectively, for the first 200 cycles. ε is the observed error and obeys a normal distribution. The model parameters βn are the coefficient values estimated using a regression model.
Furthermore, we simulated the final yield based on the metric values obtained every 5 cycles. The formula was as follows (Eq. (2)):
$$ {Y}_i={\beta}_{0,i}+{\beta}_{1,i}{T}_i{D}_i+{\beta}_{2,i}{B}_i+{\beta}_{3,i}{G}_i+{\beta}_{4,i}{S}_i+{\beta}_{5,i}{F}_i+{\varepsilon}_i,{\varepsilon}_i\sim \mathrm{Normal}\left(0,\upsigma \right) $$
Yi is the value of the dependent variable yield. Ti is the value corresponding to the current cycle i in TotalEsr. Di is the value of Dnbnumber at the beginning of the sequencing. Bi, Gi, Si and Fi are the average values of BIC, accGRR, SNR and FIT, respectively, for the first i cycles. εi is the observed error in the i cycle and obeys a normal distribution. The model parameters βn, i are the coefficient values estimated using a regression model. The coefficient of determination (R2), which ranges from 0 to 1, was used to measure the accuracy of our model; a value closer to 1 means better performance of the model.
Evaluation of the linear regression model was performed with test sets to test the reliability of the prediction model. The test sets were used in the model formula to obtain prediction results. An R2 for the test sets was used to evaluate the constructed model. Both linear regression and the backward elimination method of stepwise regression and evaluation were conducted in R.
The DNA sequencing process generated a series of files used to record sequencing performance information. In this study, we extracted 65 metrics to construct a database 'SEQdata-BEACON' to store the massive data source. The architecture of the database and applications is shown in Fig. 1. From November 2018 to April 2019, 'SEQdata-BEACON' accumulated a total of 2236 entries in PE100 sequencing using a 10 bp barcode from 60 sequencers in the BGI-Wuhan lab. The database primarily collected information on sample, yield, quality, machine status and supplies. Sequencing type and other sample information were stored as Sample. Yield and quality are the gold standards of the reliability of our sequencing data. Regular quality control metrics such as Reads, Bases—related to yield and Q30—related to quality were stored. Machine performance reflects the stable environment of the sequencing process, so machine states such as Signal, Intensity and Theta were stored in the database. Supplies provides traceable information to solve problems in troubleshooting, so sequencing reagents and sequencing time were also stored in the database. Furthermore, we explored our database to describe the statistical results of metric features and to construct a yield simulation model based on yield-related metrics.
Schematic architecture of SEQdata-BEACON. The architecture of the database and applications contains four parts. "Sequencing Files" shows the files generated from BGISEQ-500 sequencers. "SEQdata-BEACON" shows the information of metrics. "Yield simulation model" shows the special function of our database to predict the final yield from input metrics. "Web services" shows three applications in our website to provide interactive functions for users--Predicting, Browsing and Data querying
Web visual interface
To provide open access to our data, we designed a comprehensive website 'SEQdata-BEACON' with Home, Browse, Tools, Download and Guide pages to display the database and data-mining applications (Fig. 2a). The 'Home' page gives users an introduction to our website and a schematic architecture of our database. The 'Browse' page allows users to look through the numerical metric features, including a heatmap of Pearson's correlation coefficients and the metric distributions. For example, the distribution of FIT and its changes per cycle are both illustrated in charts for observing the distribution patterns and fluctuations. Users can choose the name of their metric of interest in the drop-down menu, and the corresponding distribution chart will be shown at the bottom of the webpage (Fig. 2b; see the section 'Statistical findings: metric features' for details). The 'Download' page allows users to obtain the data in EXCEL format according to our update time; all the data and analysis results will be updated every 2 months (Fig. 2c). The 'Tools' page allows users to test our simulation model. Users can enter specific metric values on our website in the example format and click 'Start', then the expected yield confidential intervals will be shown (Fig. 2d; see the section 'Statistical findings: yield simulation model' for details). The 'Guide' page supplies a guideline for regular operation.
Web visual interface of SEQdata-BEACON. The screen shots show views of functional modules. a The navigator bar on the "Home" page. b The drop-down menu and distribution charts of metrics are shown on the "Browse" page. c The download sources are listed on our website's "Download" page. d The input windows and the results of the yield simulation model are shown on the "Tools" page. Please note that not all fields are shown
Statistical findings: metric features
Based on the data from November 2018 to April 2019, Pearson's correlation coefficients of the numerical metrics were calculated, and the resulting 52*52 correlation matrix is shown as a heatmap (Fig. 3). The metrics were mainly clustered into three groups with 20, 15 and 17 metrics; the first group could be further divided into two branches that represent yield and quality. The other two groups represent machine state (e.g., Theta indicates the angle between the moving direction of the array stage and the track line on the array) and sequencing calibration (e.g., Lag, Runon). Red blocks indicate positive relationship and blue blocks indicate negative relationship. Yield was positively correlated with quality, and the sequencing calibration was negatively correlated with both. It can also be seen that five metrics with a Pearson correlation of 1 with Reads were redundant; these were deleted from further analysis. In addition, totalCG% (the percent of CG based in sequencing lane) is a conceptual summary of R1CG% and R2CG%, and only one metric was reserved according to analytical needs.
Numerical metrics correlation. Hierarchical clustering of the Pearson's correlation matrix between 52 metrics. The three branches Yield and Quality, Machine State, and Sequencing Calibration are marked with purple, orange and yellow, respectively, on the right side of the Y-axis in the figure. Red blocks in the heatmap indicate positive relationship, blue blocks indicate negative relationship, and white blocks indicate no relationship
Next, we investigated the distribution patterns of the above metrics. It can be seen in the scatterplot of Q30 versus Reads that yield ranged from 350 to 850 M, and Q30 was above 70%. The histograms above and to the right of the chart also show the distributions of Reads and Q30, respectively (Fig. 4a). During normal performance of BGISEQ-500, Reads is greater than 650 M and Q30 is over 85% in each lane (http://en.mgitech.cn/). In the scatter plot, a total of 2026 lanes were located in the normal range, and the proportion of outliers was less than 10%, which suggests that the instrument performance was relatively stable. The distribution pattern of FIT was also plotted in a histogram, and it was mostly around 0.80 (Fig. 4b). The FIT value was calculated cycle by cycle, and it was found to slowly decrease from 0.811 to 0.757 in read1 and from 0.835 to 0.763 in read2, with more deviation at the beginning of both reads and less deviation toward the end (Fig. 4c). The metric FIT suggested the distribution of differences between signal and noise for each base and the performance of the optical path during the sequencing process [18]. The deviation in each cycle may reflect the changing pattern of FIT in the sequencing process and indirectly hint at the status of the signal or optical path.
Distribution of Metrics in SEQdata-BEACON. a Q30 versus Reads, histogram of Q30 and Reads shown in gray, density profiles shown in blue. b Histogram of FIT in all entries. c Scatterplot of FIT through 200 cycles
Statistical findings: yield simulation model
In this study, considering the BGISEQ-500 sequencing principle, the meanings of the metrics and the linear correlations, the linear regression model included the variables TotalEsr, Dnbnumber, BIC, accGRR, SNR and FIT as predictors. Statistical program R was applied to construct the model using training sets obtained from November 2018 to April 2019 and to test the model with test sets obtained from May 2019. The LR model is shown in Eq. (3) and Table 1 displays the standard error, t-value and p-value of this function in the regression results. The results indicate that the contribution of accGRR was not significant. Subsequently, the backward elimination method of stepwise regression was used to build the model to find an optimum solution, and the final LR model is shown in Eq. (4). The regression results of this function indicate that the contributions of TotalEsr*Dnbnumber, BIC, SNR, FIT were significant at the 1% probability level (Table 1). Here, we compared the yield with the predicted results in our model, obtaining an R2 of 0.97. Then, the model was run with the test sets to predict the yield, which resulted in an R2 of 0.96. The performance of the real test meets the expectations of constructed model. These results indicate that our simulation model was reliable and effective (Fig. 5). It also suggests that five metrics, TotalEsr*Dnbnumber, BIC, SNR, FIT, successfully simulated yield in the LR model. In addition, we expected that this simulation model could be used to predict the final yield at the early stage of sequencing. During the sequencing process, the yield was assumed to be a function of the values of TotalEsr, Dnbnumber, BIC, accGRR, SNR and FIT at each running cycle. The model was run every 5 cycles using backward elimination regression with R, and a total of 40 model runs were performed from cycle 1 to 200. The residuals of the prediction models fluctuated at the beginning of read1 and read2, which was mainly due to the establishment of the algorithm matrix by the sequencer (Additional file 2: Figure S2). However, the R2 of the model in the 15th cycle was 0.81, indicating that the final yield could be effectively simulated at this stage. The corresponding LR model is shown in Eq. (5).
$$ Y=-129.692+0.983 TD+1.400B+0.143G-3.334S+26.997F $$
$$ Y=-129.787+0.983 TD+1.402B-3.334S+27.027F $$
$$ {Y}_{15}=-141.021+1.270 TD+4.743B-604.450G-3.465S+28.882F $$
Table 1 Model summaries of linear regressions for predicting yield outputs
A comparison of predicted vs. actual yield in training sets and test sets. a Training sets. b Test sets. The linear regression line is shown in blue
Continuous improvement in DNBSEQ technology has introduced more efficient sequencing platforms, such as MGISEQ-2000 and DNBSEQ-T7. Compared to the Illumina platform, BGISEQ-500 is cheap and has a low sequencing error rate. Sequencing costs are often affected by geographic, institutional, personnel, and reagent costs, and continue to decline as technology updates. According to recent research statistics [13], taking the PE100 sequencing type as an example and not concerning the physical loss of the sequencer, the cost per Gb for the BGISEQ-500 is half that of the HiSeq4000 platform. And BGISEQ-500 sequencing data showed a lower error rate than Illumina (< 0.1 and 0.1%, respectively) [1]. Moreover, the sequencing data produced from BGISEQ-500 are compatible with widely used bioinformatics tools and pipelines. The data analysis results showed comparable accuracy and reproducibility. Recent investigations have reported that MGISEQ-2000 has comparable single nucleotide polymorphism (SNP) detection accuracy in WGS and high gene detection in scRNA-seq to Illumina platforms [19, 20].
In fact, the stable performance of sequencers in massively parallel sequencing guarantees the utility of data and the cost efficiency of each run. Some tools have been reported to evaluate sequencing run performance by analyzing sequencing data quality. For example, FASTQC is a commonly used tool for quality control of sequencing data and the generation of a comprehensive QC report [21]. It can also be incorporated into an analysis pipeline to represent the quality of raw data in easy-to-browse HTML reports [22]. The whole NGS workflow included library and template preparation, enrichment, sequencing and data analysis, but quality control (QC) checkpoints for sequencing performance were often performed in the data quality check rather than in the sequencing process [23]. Different from data quality evaluation, the run performance metrics brought us a wealth of information that could be used to effectively assess the sequencing process and its results. To gain insight into the sequencing performance in BGISEQ-500, we established the first-reported BGISEQ-500 sequencing performance database and website to comprehensively collect performance data.
There were 2236 entries with 65 metrics containing information on sample, yield, quality, machine state and supplies in 'SEQdata-BEACON'. The method of automatically collecting metric values from sequencing configuration files could effectively lighten human labor, shorten time costs and improve data accuracy. The run data we collected covered libraries from most species and major types of sequencing applications. At present, in our 60 BGISEQ-500 sequencers in the BGI-Wuhan lab, PE100 sequencing using a 10 bp barcode is suitable for WGS, WES and RNA-seq, and the libraries are derived from DNA or RNA samples of plants, animals, microbes and humans. In the Q30 versus Reads scatterplot, 90.6% of the lanes had reads greater than 650 M and values of Q30 above 85%, which shows that BGISEQ-500 was stable and reliable in massively parallel sequencing. Therefore, without the risk of index hopping, DNBSEQ can generate excellent sequencing data with fewer duplications and errors [24] and has extensive application in population-scale sequencing projects, such as the 10KP (10,000 Plants) Genome Sequencing Project [25]. To study the correlation of yield-associated metrics, we used the backward elimination method of stepwise regression and established a yield simulation model with an R2 of 0.97. The model produced a good simulation, which suggests that TotalEsr, Dnbnumber, BIC, SNR and FIT contributed to the yield. While predicting the final production, we used all six parameters to construct 40 prediction models using stepwise regression. From the residual deviation of the models, it was shown that the final yield could be predicted in the 15th cycle at the early stage of sequencing, and the small changes in the residuals within read1 and read2 implied little fluctuation of the metrics during the sequencing process. The linear regression model is a common statistical technique for simulating the associations between variables, but whether other methods may produce better simulation results cannot be ruled out. Furthermore, we wanted to investigate quality-associated metrics and establish a quality simulation model. Combined with the yield simulation model, these two models may effectively simulate the sequencing results and bring us more ideas for increasing the sequencing performance.
Recently, the sequencer manufacturer Illumina revealed a new service named "Proactive Instrument Monitoring", which is a proactive support service that involves remote instrument monitoring in real time [26]. By sending instrument performance data to Illumina, the support team can monitor the instrument and resolve issues more quickly. Apart from monitoring the instrument performance, our study paid more attention to data accumulation and was expected to explore data patterns by statistical analysis and interpret sequencing results. In the future, we plan to gather more sequencing platforms built on DNBSEQ technology, which will provide an integrated performance reference for BGI sequencers and will be beneficial to fully understand this series of instruments. Moreover, we also want to add the PacBio Sequel II and Oxford Nanopore PromethION sequencers to obtain a deeper understanding of single-molecule sequencing technology. We expect SEQdata-BEACON to be a comprehensive platform: with data accumulation, it can demonstrate the actual performance of the sequencing platforms; by developing more data-mining applications, it can enrich functional tools such as QC metrics models and metrics standards; by presenting data and statistical results on the website, it can also give users useful optimization and troubleshooting suggestions to solve their problems.
Widespread application of NGS has resulted in a large amount of data, including nucleotide sequences and sequencing process performance. We designed a database, SEQdata-BEACON, to accumulate run performance data from BGISEQ-500 containing 65 metrics with information on sample, yield, quality, machine state and supplies. A correlation matrix of 52 numerical metrics was clustered into three groups: yield-quality, machine state and sequencing calibration. The distribution of numerical metrics presented some features and provided clues for further interpreting the meanings of these metrics and their analysis. We also constructed linear regression models to accurately simulate the final yield using metric values in the 200th and 15th cycles of the runs. The data sources, statistical findings and application tools are all available on our website (http://seqBEACON.genomics.cn:443/home.html), which can facilitate BGISEQ-500 users from enterprises or schools to understand DNBSEQ technology and interpret their sequencing results.
The datasets generated and/or analysed during the current study are available in the SEQdata-BEACON site, [http://seqBEACON.genomics.cn:443/home.html].
accGRR:
Accumulated Good Reads Rate
BGI:
Beijing Genomics Institute
Basecall information content
cPAS:
Combinatorial Probe-Anchor Synthesis
DNB:
DNA nanoball
Eq.:
FC:
Flow cell identifier
Gb:
Gigabase
IQR:
Interquartile range
LR:
NGS:
PE100:
Paired-end 100
RCA:
Rolling circle amplification
scCAT-seq:
Single-cell chromatin accessibility and transcriptome sequencing
scRNA-seq:
Single cell RNA sequencing
SNP:
Single nucleotide polymorphism
TotalEsr:
Total Effective Spot Rate
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We would like to acknowledge the ongoing contributions and support of all our BGI employees.
We thank Zetao Bai (Oil Crops Research Institute, Chinese Academy of Agriculture Sciences, Wuhan, China) for her assistance editing this manuscript.
No funding agency has funded this work.
Yanqiu Zhou, Chen Liu and Rongfang Zhou contributed equally to this work.
BGI-Wuhan Clinical Laboratories, Building B2, No.666 Gaoxin Road, Wuhan East lake Hi-tech Development zone, Wuhan, 430074, China
Yanqiu Zhou
, Chen Liu
, Rongfang Zhou
, Anzhi Lu
, Biao Huang
, Liling Liu
, Ling Chen
, Bei Luo
, Jin Huang
& Zhijian Tian
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CL designed and constructed the database, and developed web application; YZ collected data, performed data examination and analysis, and prepared figures; RZ prepared tables, performed data and application examination, and wrote the manuscript; AL, BH, LL, LC, BL contributed materials and analysis tools. JH, ZT conceived and designed the experiments, approved the final draft of the manuscript submitted for review and publication. All the authors have read and approve the manuscript.
Corresponding authors
Correspondence to Jin Huang or Zhijian Tian.
Additional file 1: Figure S1. The correlation of each metric with yield (ReadsM). The linear regression line is shown in blue.
Additional file 2: Figure S2. Residual deviation of the LR model every 5 cycles. The box plot displays the residuals of all 40 LR models; each box shows the median and first and third quartiles, and a star indicates the standard deviation.
Zhou, Y., Liu, C., Zhou, R. et al. SEQdata-BEACON: a comprehensive database of sequencing performance and statistical tools for performance evaluation and yield simulation in BGISEQ-500. BioData Mining 12, 21 (2019) doi:10.1186/s13040-019-0209-9
BGISEQ-500
Sequencing run performance


text:
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Bio: I attended Covenant Chr. High School. I then received my Bachelor of Arts degree in Secondary Education with an English major and a Music minor from Dordt College in Sioux Center, Iowa. I began teaching here at Heritage in the fall of 1989, which makes the present school year my 26th among the Heritage family. I taught 5th and 6th grade my first year here, and then moved to teaching English at the Junior High level. I have also directed at least one choir every year.
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Your perfectly manicured résumé, flawless cover letter and brilliant responses to tough interview questions might make you a strong job candidate—but forget to smile, slouch in your chair or fail to make eye contact during the interview, and you could be out of the running. Here are 10 interview body language mistakes that could cost you a job offer.
You've sent in your perfectly manicured résumé and flawless cover letter. You've researched the company and gave brilliant responses to tough interview questions. You may be the most qualified candidate—but forget to smile, slouch in your chair or fail to make eye contact during the interview, and you could be out of the running.
Wood says don't wait until you're in the hot seat to start focusing on your body language. Be aware of your posture, your facial expressions and your gestures from the moment you arrive.
Once the interviewer greets you, make eye contact and offer a palm-to-palm handshake that is not too strong and not too weak. Keep an appropriate distance as he or she greets you. Relax your body and smile. "Don't freeze," Wood says. "Candidates often tense up and stiffen their bodies and face when they are walking in to an interview.
Once you're in the hot seat, find an appropriate place to set down your belongings. Don't put your briefcase or purse on your lap or on the table. Sit up straight, avoid touching your face and hair, and don't cross your arms or hide your hands. "Don't be afraid to gesture," Wood says. Gesturing shows that you're enthusiastic and expressive. It can also help access more information in your brain and create vocal variation, she adds.
Power and confidence are typically conveyed through body language, and so are your stress level and how open and honest you are. "An employer will get a sense of who you are and how you will perform under pressure by assessing your body language before, during and after the interview," Wood says.
So how do you avoid making body language mistakes? With practice and preparation.
"Practice entering and leaving a room, think about where you will put your briefcase during the interview, and plan how you will say hello and goodbye to the interviewer," Wood says.
Preparation for the interview often builds confidence, Burns says. When you're confident, you tend to have fewer body language issues.
Before you shake hands, rise, walk up to the hiring manager with confidence, make eye contact and smile.
"Make sure your handshake is firm, but don't crush the hiring manager's hand," says body language expert and author Patti Wood. "The secret to a great handshake is palm-to-palm contact. Slide your hand down into the web of theirs and make palm-to-palm contact. Lock thumbs with the hiring manager, and apply as much pressure as he or she does." But remember that the appropriate pressure varies from culture to culture.
Be respectful of the hiring manager's personal space. Don't stand too close and certainly don't hug them.
That can make you look defensive or uncomfortable. Instead, gesture with your hands. That way you'll appear more enthusiastic and engaging.
"It's a stress comfort cue that can make you look childish," Wood says. You don't want to distract the hiring manager with this body language gaffe.
Sit up straight. "Asymmetrical body language can make you look confused or dishonest," Wood says.
"It's okay for the candidate to look away when he or she is talking," Wood says. "It's normal to look around when you're speaking because you're accessing different parts of the brain by moving your eyes. But be attentive and make eye contact when the interviewer is speaking." Think of eye contact as a connection tool.
"It's fine if you have an expressive face," Wood says. "It makes you more likeable." But be aware of your facial expressions, and don't check your watch or your cell phone during the interview.
You can all too easily appear nervous, disinterested or unfriendly. Try to smile, but keep it natural and subtle.
Don't touch your face, play with change in your pocket or bite your nails. Fidgeting is a distraction and a sign of anxiety.


Cold wave rods can be used on a dry hair to make it look perfect. But you must know the proper way to use these rods in your hair to make them look stylish. Try to make sections in your hair before starting the styling and decide what about the curl type you are going to create in the hair. The styling process is very simple, just roll your hair in the wave rod and secure it in place. Then dry it with a blow dryer and mist it with s spray.
As usual wash your hair and create sections depending upon the curl you are planning to achieve. Make sure that the hair sections are not too big as it can spoil the entire hairstyle. The size of your hair section must be smaller than the wave rods. Place the rods at the end of your hair and try to wrap it using your hands. Try to apply a little amount of pressure with your hand during the rolling process and mist the hair with a spray. Use a hair dryer to make the hair section dry and apply cold hair from the dryer over your hair before taking the rods out of them. Now your hair will have a spiral look and it will not have a natural look because you are trying this process with a dry hair. Use the same method on the remaining sections and blow dry them just like the first section.


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The Evolution of Elsa Schiaparelli
by Ruth MacGilp
The Best Independent Cultural Magazines
| Along side her greatest rival Coco Chanel, Elsa was one of the most inspirational and well-known designers between World War I and World War II.
The latest Schiaparelli haute couture collection shown in Paris this month was a triumph; Picasso-inspired blazers, Harajuku-style tulle frocks, space-age jumpsuits and lobster-adorned onesies galore, along with the Maison's classic elegant gowns with a playful twist.
A post shared by Schiaparelli official (@elsaschiaparelli) on Jul 3, 2017 at 4:37am PDT
Is the legend of Elsa Schiaparelli evolving? For a while, it felt like the name, was once more successful than Coco Chanel, had no relevance in today's society, and had perhaps outlived its golden years. Unlike many luxury brands, Schiaparelli hadn't ferociously chased the millennial consumer, highly digitized its marketing efforts, and its prices even for ready-to-wear garments remain out of reach for any kind of mass market. However, the A/W 17 couture collection genuinely felt like a breath of fresh air amongst the often over-embellished, gimmicky and re-hashed offerings from other Parisian and international designers. I can't wait to see what the house does next as it evolves and adapts to outgrow its stale and stagnant presence.
Read More Couture Fashion Week Round-Up
Watch the live stream form the Schriaparelli show below. Bravo, Bertrand Guyon!
Burberry SS18 at LFW
Video by Schiaparelli
Header Image by SHOWstudio
Ruth MacGilp July 21, 2017


Powerful systems that could aid in the fight against global warming are expected by 2018.
The race is on to develop a new generation of far more powerful supercomputers that could help solve some of the world's most vexing problems.
Exascale supercomputers, expected to appear by 2018, could, for example, play a significant role in efforts to combat climate change or develop ultra-long-life batteries for powering automobiles. Scientists also expect exascale systems to help them come up with processes for creating biofuels from weeds rather than corn.
Much of the work at various national labs to design and develop the new systems is funded by corporations that hope their IT operations can take advantage of the new technologies.
For example, the next generation of supercomputers could be used to solve big programming problems and allow for the development of a new generation of scientific and business applications.
The need for exascale systems, and the difficulties developers face in trying to boost hardware performance without soaking up excessive megawatts of power, was widely discussed among many of the estimated 11,000 people who gathered last month in Portland, Ore., for the SC09 supercomputing conference.
"There are serious exascale-class problems that just cannot be solved in any reasonable amount of time with the computers that we have today," said Buddy Bland, project director at the Oak Ridge Leadership Computing Facility in Oak Ridge, Tenn.
The world's fastest supercomputer today, a Cray XT5 system at Oak Ridge National Laboratory that's known as Jaguar, has a peak performance of 2.3 petaflops. A petaflop is a quadrillion, or 1,000 trillion, sustained floating-point operations per second.
The total capacity of the latest Top500 list of the most powerful supercomputers, released at SC09, was 27.6 petaflops, up from 22.6 petaflops in the previous list, released in June.
One exaflop is 1,000 times faster than a petaflop -- performing 1 quintillion, or 1 million trillion calculations per second. "We think exascale is a 100 million-core kind of enterprise," said Dave Turek, vice president of deep computing at IBM.
In mid-2008, IBM's Roadrunner supercomputer -- a hybrid system that runs both AMD's Opteron processors and Cell chips designed by IBM, Toshiba Corp. and Sony Corp. -- was the first to achieve petaflop speeds. Now the U.S. Department of Energy has started making plans to build an exascale system that's 1,000 times more powerful than Jaguar.
These future systems must use less memory per core and more memory bandwidth. Systems running 100 million cores will face continuous core failures, and the tools for dealing with them will have to be rethought "in a dramatic kind of way," said Turek.
Addison Snell, CEO of InterSect360 Research, expects general-purpose exascale systems to come out of the supercomputer research efforts, though he predicts that "special-purpose [systems] will probably come first."
Stephen Lawson of the IDG News Service contributed to this story.


For endurance athletes, consumption of Beta-Alanine will supply the element essential to the synthesis of carnosine. The role of carnosine, a dipeptide, is to contribute in the maintenance of a relatively neutral muscular pH when a large quantity of lactic acid is produced. Noting that the carnosine rate is limited by the quantity of Beta-Alanine available, a higher quantity of Beta-Alanine increases the concentration of muscular carnosine. Consequently, Beta-Alanine becomes a very interesting element if you wish to optimize performances over a long period of time because it will delay the negative effects related to lactic acid.
Delta-Charge is the ultimate product in terms of supplying the body with nutrients during a prolonged effort. In fact, with its three different sources of carbohydrates (maltodextrin, dextrose, fructose), Delta-Charge provides energy in the short, medium, and long term. Not only will it provide you with carbohydrates, Delta-Charge will furnish precious amino acids: BCAA (L-Leucine, L-Isoleucine, L-Valine), L-Glutamine, Citrulline malate, and Taurine. These ingredients provide the muscles during effort, letting you push the limits of fatigue and assuring that the muscles does not drop into muscle catabolism. Avoiding this will considerably reduce recovery time following effort, helping you be in better shape for the next workout. To conclude, this product also contains superior quality electrolytes for complete assimilation and the goal of reducing risks of muscular cramps.
Omega 3 (fish oil) is essential for our organism because it supplies a quality source of fat. It has a positive impact on cognitive health and cerebral functions because the more Omega 3 in the composition of protective layers of cells, the better these cells will function. Omega 3s also act as an antioxidant and an anti-inflammatory since they have an effect in stabilizing cortisol, the stress hormone. Another interesting aspect of Omegas is that they contribute to the improvement of body composition because of its efficiency in developing a liaison between cell receptors and insulin. Thus permitting the body to adequately manage the amount of glucose consumed and to improve the stocking process into the muscles. Badly executed, this process causes an increase in cortisol, creating an inflammatory response and the body to increase its fat reserves.
Ideally, EPA-DHA is to be consumed during a meal.
Iso Xtrem protein is an ideal protein supplement to contribute in muscle recovery or to compliment a protein deficiency in nutrition. Being an essential source of amino acids, it plays a major role in the synthesis of muscular protein, and it produces and repairs tissues. Iso Xtrem, a 90% Whey Protein Isolate, furnishes the highest biological quality known and is among the best sources of protein to build a strong muscular system. A 30g portion offers 27g of isolate bioactive Whey protein, all while being a product without any lactose, carbohydrates, or fats.
Protein is important even for endurance activity adepts. In a unique drink, the consumption of proteins with carbohydrates after an endurance training is more effective to reload muscle glycogen reserves than simple use of carbohydrates. This is really important to know because following endurance training, the body needs to repair damaged tissues and to restore energy reserves. If an athlete doesn't take this into consideration, he won't be able to recover adequately. Recovery being a key element when talking about athletic performance and physical well-being, it is not something that should be neglected.
While providing the advantages of glucosamine, chondroitin, and MSM, Joint Xtra is in a liquid formula to boost assimilation. This product allows the supply of important nutrients to the organism in order to reduce inflammation in the body. Inflammation can be caused by repeated impacts, stress during endurance exercises, and also by injuries related to volume of training.
L-Carnitine has many positive effects on health in general and on physical performance. For example, L-Carnitine facilitates muscle oxygenation by improving blood circulation towards the muscles. More blood to the muscles gives the body the capacity to bring them more nutrients to sustain performance. Concerning endurance sports, what's interesting with L-Carnitine is that it will help your body use your fats (lipids) as a source of energy since it is responsible for transporting fats to your cells. So, during the process of creating energy, your organism can use its own fats as the main source of energy. Noting that lipids (9kcal/g) supply more energy than carbohydrates (4kcal/g), adding Carnitine to your diet is a good strategy.
Moreover, with its mix of glycine, magnesium glycinate, glutamine, and taurine, Post-Training Xtrem will stabilize your cortisol level after an intense workout. Why is this important? When training in endurance, whether it be weight lifting, biking, running, swimming, etc. you create an enormous stress on your organism which will respond by asking the adrenal glands to secrete cortisol, the hormone related to stress. A high level of cortisol will considerably slow down recovery of the nervous and muscular system. Recovery being the most important piece of the puzzle in physical preparation, Post-Training Xtrem is a priority in terms of nutritional supplements.
Post-Training Xtrem is the ultimate recovery formula without any stimulants, carbohydrates or creatine.
Vitamin and mineral supplements are important for all athletes regardless of their discipline. It is a priority to have a daily consumption of these micronutrients since each has its role in the proper functioning of the human body. For example, some vitamins have a powerful antioxidant role, some minerals will act on bone health, while others regulate the synthesis of carbohydrates, proteins, and fats.
What is even more interesting for endurance athletes is that certain vitamins/minerals have a proportionate demand to the total energy spent, as well as the metabolism of carbohydrates. The need may be greater in very physically active people and to whom carbohydrate catabolism is important.
Ideally, Pro-Vitamin 2.0 is consumed during a meal.
Pure greens contain phytonutrients that contribute in the maintenance of a strong immune system. In fact, it is a powerful antioxidant source, this helps fight the oxidative stress caused by lengthy training sessions. Furthermore, this supplement balances the body's pH by making the organism more alkaline. When we are alkaline, we reduce general body inflammation and reduce the risk of injury. Pure greens also contain probiotics and digestive enzymes that maintain a healthy intestinal flora and assure proper digestion.
Here is why an endurance athlete should use Pure greens: being in an alkaline state can rapidly stop acid accumulation produced during and after effort. Reducing this acid accumulation increases capacity for prolonged effort, reduces cramps, and accelerates recovery. Also, the more a system is alkaline, the more oxygen it will contain, causing to globally improve body pH. Not only do we develop better capacity to use oxygen, but we increase the amount of oxygen available.


CMake is a family of compilation tools that can be used to build, test and package software.
You can use module spider cmake to view available modules for a given machine. Feel free to contact OSC Help if you need other versions for your work.
CMake is available to all OSC users.
To configure your environment for use of CMake, run the following command: module load cmake . The default version will be loaded. To select a particular CMake version, use module load cmake/version . For example, use module load cmake/3.6.1 to load CMake 3.6.1. For the system version of CMake, you can use it without module load.
To configure your environment for use of CMake, run the following command: module load cmake . The default version will be loaded.
For more information, visit the CMake homepage.


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