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Ownership Summary
FelCor Lodging Trust Incorporated (NYSE: FCH), owns a diversified portfolio of primarily upper-upscale and luxury hotels that are located in major urban and resort markets. FelCor partners with top hotel companies that operate its properties under globally recognized names and as premier independent hotels.
Dividend & Tax Information
Presentations & Events
Committees & Charters
Stockholder Resources
Summary | Top Holders
Holders Value ($MM) % O/S Shares
Institution 0 .00 0.0 0
Mutual Fund 65 .00 0.0 0
Insider * 0 .00 0.0 0
*Insider values reflect direct beneficial ownership.
Holders Value Chg ($MM) % O/S Share Change
Buyers 0 .00 0.0 0
Sellers 0 .00 0.0 0
Net -- .00 0.0 0
Value ($MM) % O/S Shares
Top 10 Inst. NaN NaN --
Total Inst. NaN NaN --
Holders Value ($MM) % Inst Shares Shares
Growth NaN NaN NaN NaN
Aggressive Growth -- NaN NaN --
Core Growth -- NaN NaN --
Growth -- NaN NaN --
Income NaN NaN NaN NaN
Income Value -- NaN NaN --
Yield -- NaN NaN --
Index -- NaN NaN --
Value NaN NaN NaN NaN
Core Value -- NaN NaN --
Deep Value -- NaN NaN --
Other 0 .00 0.0 0
Broker Dealer -- NaN NaN --
GARP -- NaN NaN --
Hedge Fund -- NaN NaN --
Specialty -- NaN NaN --
Ownership data based on most recent publicly available data according to Thomson Reuters.
Aggressive Growth investors employ an extreme version of the growth style. This can be seen by their propensity to hold the stocks of companies that are growing their revenue and EPS extremely quickly, are in an early stage of their life cycle, or have minimal or no current earnings.
Broker-Dealers are usually trading facilitators rather than investors. Included in this group are sell-side research firms with broker operations, NYSE and Nasdaq trading desk positions of investment banks, investment banking client desks that execute buyback programs on behalf of corporations, private client firms that essentially act as custodians for high net worth individuals, and brokers that sell unit investment trusts or exchange traded products.
Core Growth managers typically invest in mid or large capitalization, blue chip companies that have historically performed near the top of their sector or the S&P 500 in terms of profitability, earnings growth, and revenue growth. These investors are often willing to pay premium PE multiples for highly sustainable businesses, strong management and consistent growth over the long term.
Core Value investors focus on buying companies at relatively low valuations on an absolute basis, in relation to the market or its peers, or in comparison to an individual stock's historical levels. These portfolios typically exhibit price-to-earnings, price-to-book and price-to-cash flow multiples below the S&P 500. In addition, secular revenue growth rates of the companies in these portfolios are frequently below market averages and their earnings tend to be more cyclical.
Deep Value investors employ a more extreme version of value investing that is characterized by holding the stocks of companies with extremely low valuation measures. Often these companies are particularly out-of-favor or in industries that are out-of-favor. Some investors in this category are known for agitating for changes such as new management, a merger, or the spin-off of a subsidiary.
Emerging Markets - These investors focus primarily on companies in the developing economies of Latin America, the Far East, Europe, and Africa.
GARP (Growth at a Reasonable Price) investors try and build their portfolios with two types of securities: 1) those that are trading at a discount to the market or their peers yet are expected to grow at higher than the market average or their peers, and 2) those whose forward PE ratio is less than, equal to, or only slightly above the long term projected growth of the company. Stated another common way, GARP investors will often say they are either looking at large cap stocks whose PEG ratio (forward PE divided by 5 year projected Growth) is less than the S&P 500 or at any sized company whose PEG ratio is less than 1. This is a more conservative investment style in comparison to an outright growth-oriented strategy. In addition, dividend yield is generally not a concern of most GARP investors.
Growth investors bridge the gap between the Aggressive Growth and Core Growth investment styles. They tend to be slightly more aggressive than Core Growth investors, willing to pay slightly higher multiples for stocks and trade at a slightly more active pace. In general, they are looking for companies growing at superior rates than the general marketplace, but are unwilling to pay the extremely high multiples associated with the hyper growth stocks.
Hedge Fund investors have the majority of their funds invested in some sort of market neutral strategy. Notably, the term 'hedge fund' is both a legal structure (as opposed to a mutual fund) and an investment style. Nearly every firm that uses a hedge fund or market neutral style is legally organized as a hedge fund (and thus only open to accredited investors). Many are offshore funds that are unregistered, have no investment limitations, and are not subject to disclosure regulations. The common element is that any long position taken in a specific equity is offset by a short position in either a merger partner (risk arbitrage), an 'overvalued' member of the same sector (long/short paired trading), a convertible bond (convertible arbitrage), a futures contract (index arbitrage) or an option contract (volatility arbitrage). Because of the idiosyncratic nature of these investors, the fundamentals of their portfolios are not indicative of their investment styles. Thomson Reuters categorizes these portfolios based on its specific knowledge of the their historical investment behavior.
Income Value investors are similar to those in the Core Value category except they are as interested in the dividend yield as they are in the low valuation ratios of the stocks they purchase. As a result, Income Value portfolios typically exhibit above average current income and low PE ratios.
Index investors generally create portfolios that are designed to match the composition of one or more of the broad-based indices such as the S&P 500, the Russell 1000/2000/3000, the Wilshire 5000, or the Nasdaq 100. Therefore, the performance and risk of the portfolio mirrors a section of the broader market. Their investment decisions are driven solely by the makeup of the index that is tracked rather than by an evaluation of the company and its business prospects. As a result, Index firms are often referred to as "passive" investors. Thomson Reuters categorizes these portfolios based on its specific knowledge of their historical investment behavior.
Identifies all insider holdings according to the most recent, publicly available data available to Thomson Reuters. US Insider holdings are sourced from SEC forms 3, 4 and 5. Canadian Insider holdings are sourced from SEDI.
An Insider is defined as a company's officers, directors and any beneficial owners of more than ten percent of a class of the company's equity securities.
Direct Holdings - Shares that are held in the name of the insider.
Indirect Holdings – Shares that are controlled by the insider, yet are held by another entity such as a family member, a trust, a company plan, or even a corporation to which the insider is affiliated. In many cases, the same block of indirect stock may be claimed by several insiders, such as a group of trustees over the same trust, or several partners in the same partnership
Identifies the individual insider transactions according to the most recent, publicly available data available to Thomson Reuters. US Insider holdings are sourced from SEC forms 3, 4 and 5. Canadian Insider holdings are sourced from SEDI.
International - This style refers to those money managers investing the majority of their equity assets in stocks of companies domiciled outside of North America. In most cases, the North American portion of the portfolio is either too small or does not exist, precluding Thomson Reuters from determining an accurate investment style based on the fundamentals of these companies. For "Global" investors which have more significant North American holdings, a specific style may be given which will apply primarily to the North American portion of the portfolio.
Identifies the value, percent of shares outstanding, and number of shares held by top 10, top 25, top 50 and all institutional investors.
Value ($MM) – Is the sum of the top 10, top 20, top 50 and all institutional investors. Value is calculated for each holder by multiplying (closing stock price at the position date) * (share position).
%O/S(percent of outstanding shares held) – Is calculated by dividing the shares held by most recently reported total shares outstanding.
Value ($MM) Is the sum of the top 10, top 20, top 50 and all institutional investors. Value is calculated for each holder by multiplying (closing stock price at the position date) * (share position). %O/S (percent of outstanding shares held) Is calculated by dividing the shares held by most recently reported total shares outstanding.
Identifies buyers, sellers, and calculates net change by comparing current ownership to previously reported positions.
Value Chg ($MM) – Is calculated by subtracting the total sum of current positions from total sum of previous positions.
%O/S (percent of outstanding shares held) – Is calculated by dividing the share change by most recently reported total shares outstanding.
Value Chg ($MM) Is calculated by subtracting the total sum of current positions from total sum of previous positions.
%O/S (percent of outstanding shares held) Is calculated by dividing the share change by most recently reported total shares outstanding.
Identifies institutional investor ownership by investment style. Style is a quantitative and qualitative assessment assigned by Thomson Reuters. Each style is defined by clicking on each respective hyperlink.
Value ($MM) – The sum of holder positions of the given style. Value is calculated for each institution by multiplying (closing stock price at the position date) * (share position).
% Inst. Shares – Is calculated by dividing the shares held by most recently reported total institutional ownership.
Value ($MM) The sum of holder positions of the given style. Value is calculated for each institution by multiplying (closing stock price at the position date) * (share position).
% Inst. Shares Is calculated by dividing the shares held by most recently reported total institutional ownership.
Identifies institutional investor ownership by country according to the most recent, publicly available data available to Thomson Reuters
%O/S (percent of outstanding shares held) – Is calculated by dividing the shares held by the most recently reported total shares outstanding.
Identifies institutional investor ownership by global region according to the most recent, publicly available data available to Thomson Reuters.
Momentum institutions invest in stocks whose price, earnings, or earnings estimates are advancing at a faster rate than the market or other stocks in the same sector. Momentum investors generally look for stocks experiencing upward earnings revisions or producing positive earnings surprises. Most of the investors in this category have relatively high portfolio turnover rates due to a short-term (often quarterly) focus, and therefore will liquidate positions at the slightest hint of a disappointment or deceleration in earnings. Thomson Reuters categorizes these portfolios based on its knowledge of their historical investment behavior.
Sector Specific investors have the majority of their assets in a single major industry category. Many times these investors are "forced" to own most if not all of the stocks in a given sector whether or not they are deemed appropriately valued. Since their portfolio exposure is linked to a single sector, their performance is usually measured against an index that is pertinent only to that industry. As such, tweaking the relative exposure to the companies that constitute a given sector will determine these firm's investment decisions.
Identifies institutional, mutual fund, and insider ownership according to most recent, publicly available data.
Value ($MM) – The sum of holder positions. Value is calculated for each institution and mutual fund by multiplying (closing stock price at the position date) * (share position). Value is not calculated for insiders; and
%O/S (percent of outstanding shares held) – Is calculated by dividing total shares held by most recently reported total shares outstanding. May exceed 100% due to the nature and timing of public filings.
Mutual Funds – Value, %O/S, and shares held are also included in the Institutional numbers. Mutual Funds are listed on a separate line in order to distinguish mutual fund ownership from overall institutional positions.
Insider Filings – Direct beneficial ownership from most recently filed Forms 3, 4, and 5.
Value ($MM) The sum of holder positions. Value is calculated for each institution and mutual fund by multiplying (closing stock price at the position date) * (share position).
%O/S (percent of outstanding shares held) Is calculated by dividing total shares held by most recently reported total shares outstanding. May exceed 100% due to the nature and timing of public filings.Mutual Funds Value, %O/S, and shares held are also included in the Institutional numbers. Mutual Funds are listed on a separate line in order to distinguish mutual fund ownership from overall institutional positions.
Insider Filings Direct beneficial ownership from most recently filed Forms 3, 4, and 5.
Specialty - This category encompasses a range of styles that are not based on the financial fundamentals of the stocks in the portfolio relative to the overall market. Examples include investors that hold a particularly high concentration of a single stock or a very small set of stocks, or specialize in convertible securities. This category is also reserved for any institution or mutual fund that does not meet the criteria for any of the other investment styles. Thomson Reuters categorizes these portfolios based on its specific knowledge of their historical investment behavior.
Value ($MM) – Value is calculated for each institution by multiplying (closing stock price at the position date) * (share position).
Identifies the top institutional holders according to the most recent, publicly available data available to Thomson Reuters. %O/S (percent of outstanding shares held) – Is calculated by dividing the shares held by the most recently reported total shares outstanding.
Value ($MM) – Value is calculated for each mutual fund by multiplying (closing stock price at the position date) * (share position).
Identifies the top mutual fund holders according to the most recent, publicly available data available to Thomson Reuters. %O/S (percent of outstanding shares held) – Is calculated by dividing the shares held by the most recently reported total shares outstanding.
"Growth" is comprised of Institutions that are classified as:
"Income" is comprised of Institutions that are classified as:
Yield investors typically focus on buying companies with indicated dividend yields that are comfortably above the S&P 500 average and that are perceived to be able to continue making or increasing dividend payments over time. Investors that fall into this category tend to focus on income and safety more than on capital appreciation, and many have a dividend yield "hurdle rate" below which they will be either unlikely to consider owning a particular stock or forced to pare back a current position.
"Other" is comprised of Institutions that are classified by as:
Venture Capital and Private Equity investors are usually owners of public companies only when they have participated in a round of financing prior to an IPO and subsequently retained ownership after the transition from a private company to a public company. Other investors often consider positions held by venture capitalists as an "overhang" on the stock of a publicly traded company since VCs will typically dispose of their holdings of public companies during the first few years following an IPO.
"Value" is comprised of Institutions that are classified as:
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© 2019 FelCor Lodging Trust | information@felcor.com


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Individuals have the right under the General Data Protection Regulation (GDPR) to ask for a copy of the information stored about them and also to have any inaccuracies within that information corrected.
Requests must be responded to within 30 days and the individual cannot be charged for making a request unless they are being made excessively by the same person.
When providing data to individuals information about the period of retention and when and how their data was collected should be supplied for everyone 'subject access request' that is received.
It must be possible to make subject access requests electronically, for example, using email.
Where a request is made electronically, the information should be provided in a commonly-used electronic form, unless otherwise requested by the individual.
Responses need to inform the individual clearly and concisely in relation to what information is held about them and what processing is being carried out.
In responding to a request, data controllers may need to provide further information such as the relevant data retention period and the right to have inaccurate data corrected.
Data controllers must respond to subject access requests within a month, with a possibility to extend this period for particularly complex requests. This timescale is shorter than under the DPA where the response time is 40 days.
Data controllers can withhold personal data if disclosing it would 'adversely affect the rights and freedoms of others'. This is reflective of the current position under the DPA.
The recitals to the GDPR note that this could extend to intellectual property rights and trade secrets. Member States may introduce further examples such as legal privilege.
How will this impact upon your business?
Organisations will have to deal with requests more quickly, as well as providing additional information.
Individuals already have a right to access their personal data through a SAR. However, it will generally be free to make those requests and individuals will be entitled to receive the information in an electronic format.
If an organisation handles a large number of SARs, the impact of the changes could be considerable. Therefore, taking steps to organise the approach to SARs will help organisations to comply with the GDPR.


The video has been launched following increasing reports of scammers attempting to intercept deposit monies from clients using fake emails instructing clients to send their money to new bank accounts.
The scammers then steal the money which is generally never recoverable.
The new video reinforces the message that if you receive an email or text telling you to redeposit money at the last moment you should not do so until you have called, checked and confirmed that it is a genuine request.


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A Professional Carpet Cleaning in Bayswater
By Nick Koych | January 17, 2023 January 17, 2023 by Nick Koych
Carpet is a great investment, and keeping it clean is essential for maintaining its proper condition and durability. So, if you're looking for a professional cleaning service to help your carpet shine and stay fresh, Glory Clean is the cleaning service you've been looking for. Choose a reliable cleaning company in Hammersmith to do your carpet cleaning. With the most advanced cleaning technology, Glory Clean removes accumulations from deep layers of carpet, making it look…
The Proper Biohazard Cleanup in Chicago
By Frank Noweder | January 16, 2023 January 16, 2023 by Frank Noweder
ServiceMaster MB is a specialized Biohazard Cleanup in Chicago. We will get the cleanup done rightly. If your search is for a reliable biohazard cleanup then choose no other than us. Biohazard cleanup is cleaning, sanitizing, and deodorizing the site where crime, suicide, or any violent scene occurred. This type of cleaning focuses on eliminating harmful contaminants. We have a complete team and equipment to remove all the biohazard present. This cleaning aims to prevent…
Protect Your Family and Your Carpet With Professional Carpet Steam Cleaning
By Nikolay Koychev | January 16, 2023 January 16, 2023 by Nikolay Koychev
You should thoroughly clean your soiled carpets! But did you know that there are other benefits to regular steam cleaning than just cleaning carpets? Steam carpet cleaning delivers impressive cleaning results for residential as well as commercial cleaning applications. Professional steam carpet cleaning in London offers greater cleaning power necessary for your journey. Some of them are: 1. Remove Trapped Pollutants 2. Clear Out Dust Mite Infestations 3. Help Prevent Mould Growth 4. Extend Carpet…
The benefits of hiring a professional to do your window cleaning
By proclean | January 10, 2023 January 10, 2023 by proclean
When it comes to maintaining the appearance and value of your home, cleaning the windows is often an overlooked task. But dirty windows can make a big impact on the overall look of your home, and attempting to clean them yourself can be time-consuming and even dangerous. That's where hiring a professional for residential window cleaning comes in. There are several benefits to hiring a pro for this task. First and foremost, you can expect…
Professional House Cleaning Company in Clermont
By Rudy Szanto | January 10, 2023 January 10, 2023 by Rudy Szanto
Looking for house cleaning services? Mean To Clean is here to clean your home in the best way. In Claremont, we are among the best cleaning services to trust. Wipe dust, dirt, stains, bacteria, germs, and allergens in a single cleaning by our professional cleaners. We have been in this line for a long time. We have always developed with changing needs. Mean To Clean is an insured cleaning company with more than 10 years…
Ways to Choose the Ideal Roofing Material for your House in Atlanta
By BRS Roofing Supply | January 9, 2023 January 9, 2023 by BRS Roofing Supply
You cannot underestimate the importance of the roof of your custom house that you have in Atlanta. The roof determines the aesthetics, safety, and durability and also the pinch on your wallet. At times the homeowner's association can regulate the color and style of the roofing material. However, if it is not such you need to educate yourself to buy the best roofing material. As you know how to decide which roofing material to buy,…
Five Things to Know Before Hiring a Hoarder Clean up Service
By Frank Noweder | January 6, 2023 January 6, 2023 by Frank Noweder
Hoarders clean up service in Chicago is something that most people don't want to think about because it's not pleasant. However, hoarding may have a link to Obsessive Compulsive Disorder (OCD) and cognitive-behavioral therapy is usually used in the treatment of this disorder. In addition, hoarding is when people have problems getting rid of the things that they no longer use but find comfort in the accumulation of these items. Hoarding can also have links…
Professional Upholstery Cleaning- Keep the Lavished Furniture Well-Maintained
By Nikolay Koychev | January 6, 2023 January 6, 2023 by Nikolay Koychev
Having your upholstery professionally cleaned helps restore your furniture, and extend its lifespan. It usually results in making the upholstery look as good as new. Professional upholstery cleaning can also prevent certain respiratory sensitivities from being triggered such as asthma. One of the most expensive purchases you can make for your house is upholstery furniture. You purchased it because you liked So you need to take proper care of it. It will protect the furniture…
Professional Carpet Cleaning-The Best Way to Approach This Daunting Task
By Nick Koych | January 5, 2023 January 5, 2023 by Nick Koych
It is Christmas month. It is a time for gift-giving and socializing with loved ones. You are engaged in a lot of festive celebrations. A lot of party activities will take place during such festive times. You may be unaware that it is also a time for cleaning. Cleaning up the carpets after the holidays is necessary because it will make the carpets ready for the New Year. There are a lot of factors to…
Reasons Why You Should Hire Carpet Cleaning Services in New Year Season
By Nikolay Milchev | January 5, 2023 January 5, 2023 by Nikolay Milchev
Cleaning the house is an excellent way to start the New Year season on a happy note. Your carpet plays a significant role in keeping a tidy and clean home, which draws positive energy. To make the house feel reviving and bright, it is crucial to get your carpet professionally cleaned. Hiring a carpet cleaning Fulham would do wonders for your carpet. They remove the tough stains, dirt, and debris from the root and make…

redpajama_set_name: RedPajamaCommonCrawl


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Gunmen attack businessmen on Tortola, VG
in All News, Crime/Police / By: BVI News Online on July 11, 2017 at 8:07 PM /
The Royal Virgin Islands Police Force (RVIPF) said gunmen have attacked two businessmen in separate incidents in the territory over the past few days.
It did not divulge much information regarding the attacks, in which no one was injured.
The RVIPF said a businessman reported that two masked males held him at gunpoint on the island of Virgin Gorda on Sunday morning, July 9.
It added that another businessman said a lone masked male held him at gunpoint in the Port Purcell area of Tortola last Thursday evening, July 6.
The RVIPF, in a media release this evening, also noted that two gunmen attempted to rob Delta Gas Station in Pasea Estate before daybreak today.


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Q: The request was denied because one or more scopes requested are unauthorized or expired I am going through the sample code from https://github.com/microsoftgraph/aspnet-snippets-sample
and when clicking the Mail link I get this error.
enter image description here I have set up the Azure AD following the instructions and set the permissions. (2.jpg) but am still receiving the same error.
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A: You need to give admin consent by clicking on Grant Admin Consent for Joyce Organization.

You can go through this Admin-restricted permissions for more information.

redpajama_set_name: RedPajamaStackExchange


text:
Humans Made Tools Atop the Tibetan Plateau More than 30,000 Years Ago
A finding pushes back the timeline on humankind's conquest of one of Earth's harshest environments, and may provide clues about interactions with their hominin relatives.
Shawna Williams
ABOVE: Excavations on the Tibetan Plateau have revealed thousands of fragments of Paleolithic tools.
YINGSHUAI JIN
Even a seasoned mystery novelist might find it difficult to come up with a more tantalizing string of clues than those left by the Denisovans. Paleontologists found the only remains of the ancient hominin species in a Siberian cave in 2008. Yet a genetic analysis published early last year reported that, among modern-day human populations studied, the largest proportion of Denisovan-derived genes, about 5 percent, is found a watery hemisphere away—in residents of Oceania, in the South Pacific (Cell, 175:P53–61.E9). Another study found that a distinctive variant of the gene EPAS1 that helps Tibetans cope with high-altitude conditions is similar to an allele found in the Denisovan genome, and likely was acquired many millennia ago through interbreeding with the now-extinct species and spread through the population thanks to natural selection (Nature, 512:194–97, 2014).
Just when and where did the Denisovans mate with Homo sapiens, and what migration routes did their mixed offspring follow? The remains in the Siberian cave date to between 30,000 and 50,000 years ago (Nature, 468:1053–60, 2010), and a 2016 comparison of Denisovan with modern human genomes estimated that admixture occurred 44,000–54,000 years ago (Curr Biol, 9:1241–47). But a study published in November of last year could provide a fresh clue—or a red herring.
In it, researchers with Beijing's Institute of Vertebrate Paleontology and Paleoanthropology and their colleagues excavated an archaeological site 4,600 meters up on the Tibetan plateau, unearthing more than 3,000 stone tool fragments, most of them from double-sided blades, scattered through three layers of sediment. Using a technique called optically stimulated luminescence, which measures the photons emitted by minerals and can be used to estimate the last time sunlight reached a sample, the team calculated the age of the tools at between 30,000 and 40,000 years old. This suggested that the artifacts are far more ancient than what had previously been the oldest human settlement found on the higher, central part of the plateau, which was dated to around 7,400 years old (Science, 362:1049–51, 2018; Science, 355:64–67, 2017).
TIBETAN TOOLS: Most of the 3,000 fragments were from double-sided blades.
XING GAO
"[W]e did not initially expect to find archaeological evidence of humans in this high and challenging environment any earlier than the Last Glacial Maximum [LGM] of roughly 18–22,000 years ago," notes John Olsen, an anthropologist at the University of Arizona and a member of the research team, in an email to The Scientist. "As the name implies, the LGM was a period of relative cold and aridity within the Pleistocene (Ice Age) and the common assumption was that initial human occupation of the high plateau must have occurred after the LGM . . . [but this] seems not to have been the case."
In an opinion article published alongside the study, geochronologist Jia-Fu Zhang of Peking University and archaeologist Robin Dennell of the University of Exeter—neither of whom were involved in the research—note that the site, Nwya Devu, is near a ridge of black slate that would have provided the raw materials for the tools. "Because of the proximity of the site to a large source of flakable stone, the site is likely a workshop where tools were made that were then used on hunting expeditions at other locations," Zhang and Dennell argue. Furthermore, they write, although no human remains were found at Nwya Devu, 40,000-year-old Homo sapiens remains have been found in a cave in northern China, suggesting that the people who made the tools were not Denisovans, Neanderthals, or another relative, but belonged to our species. Thus, the finding appears to push back the date of Homo sapiens presence in one of Earth's harshest environments.
Yet the study raises more questions than it answers. For one, if the ancient blade-makers really were Homo sapiens, were they the ancestors of today's Tibetans, or a people who later vanished from the plateau? Rasmus Nielsen, a geneticist at the University of California, Berkeley, who led the study that identified the Denisovan origins of EPAS1 but was not involved in the current study, says that work on ancient DNA indicates that two key altitude-coping genes did not come under selective pressure in the Tibetan genome until around 4,000 years ago, or even later, making it unlikely that Tibetans' ancestors had settled at high altitudes many millennia before that. But without human remains at the site, "what these people were, and how they're related to modern Tibetans . . . we don't know about that," he adds.
The team calculated the age of the tools at between 30,000 and 40,000 years old.
Olsen says the team plans to address this gap in the human fossil record; its members will continue their work at Nwya Devu and other sites on the plateau this summer. One question Olsen is especially interested in addressing is where the toolmakers came from. "The tools from Nwya Devu most closely resemble contemporaneous artifacts from Xinjiang (in northwest China), Mongolia, and southern Siberia in Russia," he writes to The Scientist. "Is this pattern indicative of the directionality of the initial settlement of the Tibetan Plateau? We just don't know the answer to that question yet, and it will require a much more robust sample size than one site located in the middle of such a large plateau."
It's also not clear whether early humans on the plateau settled there, or visited intermittently. Mark Aldenderfer, an archaeologist at the University of California, Merced, who was not involved in the study but has collaborated with Olsen in the past, says some archaeologists believe the plateau could only have been permanently occupied beginning around 5,200 years ago, once humans had agriculture to help sustain them (Science, 347:248–50, 2015). Aldenderfer has disputed this, arguing that archaeological evidence, and some currently available genetic evidence, points to permanent occupation of the plateau at sites more than 7,000 years old. For example, a 2013 analysis of Y-chromosome and mitochondrial DNA lineages in present-day Tibetans found evidence for two waves of migration to the area, with the first dated to about 30,000 years ago (Mol Biol Evol, 30:1761–78).
Humans would not have had much success sustaining pregnancies and establishing a long-term population atop the plateau unless they had genes to help them adapt—which is where Denisovans may or may not come in. Nielsen says that if Homo sapiens were braving the plateau as early as the new study suggests, they might even have interbred with Denisovans there, although he doesn't consider that the most likely scenario. That's because Denisovan alleles are also found in some other East Asian populations, suggesting they were acquired before the plateau's colonization.
The authors of the paper suggest a different possibility, citing the similarity of the Nwya Devu tools to others found in Siberia, and the prevalence of Denisovan DNA in modern Melanesians: that the Tibetan Plateau might have been one area through which genetic traces of the Denisovans made their way south across the Homo sapiens population, conferring tolerance to high altitude along the way. Whoever the people at Nwya Devu were, Zhang and Dennell write, their discovery "provides a graphic example of how successful our species has been as a colonizing animal."
denisovan
human ancestors
tool use
Denisovan Fossil Identified in Tibetan Cave
Neanderthal DNA in Modern Human Genomes Is Not Silent
Researchers Home in on When Different Hominins Shared Denisova Cave
The Cerebellum's Secrets: A Profile of Kamran Khodakhah


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text:
require 'English'
require 'benchmark'

module RubocopTravis
  class << self
    def run
      run_main_task
      report_coverage
      documentation
      check_requiring_libraries
    end

    private

    # Check requiring libraries successfully.
    # See https://github.com/bbatsov/rubocop/pull/4523#issuecomment-309136113
    def check_requiring_libraries
      sh!("ruby -I lib -r rubocop -e 'exit 0'")
    end

    # Running YARD under jruby crashes so skip checking the manual.
    def documentation
      return if jruby?
      sh!('bundle exec rake documentation_syntax_check generate_cops_documentation')
    end

    def jruby?
      RUBY_ENGINE == 'jruby'
    end

    def master?
      ENV['TRAVIS_BRANCH'] == 'master' && ENV['TRAVIS_PULL_REQUEST'] == 'false'
    end

    def report_coverage
      sh!('bundle exec codeclimate-test-reporter') if master? && test?
    end

    # Run main task(RSpec or RuboCop).
    def run_main_task
      if master? || !test? || jruby?
        sh!("bundle exec rake #{ENV['TASK']}")
      else
        sh!("bundle exec rake parallel:#{ENV['TASK']}")
      end
    end

    def sh!(command)
      puts "$ #{command}"
      time = Benchmark.realtime do
        system(command)
      end
      puts "#{time} seconds"
      puts
      raise "`#{command}` is failed" unless $CHILD_STATUS.success?
    end

    def test?
      ENV['TASK'] != 'internal_investigation'
    end
  end
end

RubocopTravis.run

redpajama_set_name: RedPajamaGithub


Tutorial showing how to install latest version of OpenSSL 1.1.0g on CentOS7.
Short tutorial showing how to disable Transparent Huge Pages (THP) on CentOS 7. Manual and automatic method included.
This entry was posted in Linux and tagged CentOS, thp on November 17, 2016 by astaz3l.
Short tutorial about installing latest version of GIT on CentOS. How to compile software from soft + advantages and disadvantages of such approach.


text:
"use strict";

var pieChart = function() {
	console.log('Hello World');

	var args = process.argv;
	console.log(process.argv);
	if (args.length < 7) {
		fatalError(null, "Parameters: databaseName tableName chartColumn pieceColumn value");
	}
	var Sqlite = require('../../aws/desktop/Sqlite.js');

	var databaseName = args[2];
	var tableName = args[3];
	var chartCol = args[4];
	var pieceCol = args[5];
	var valCol = args[6];
	var charts = [];
	var pieces = [];
	var matrix = [];

	var database = new Sqlite(databaseName, true);
	console.log(databaseName, tableName, chartCol, pieceCol, valCol);

	var statement = 'SELECT distinct ' + chartCol + ' FROM ' + tableName;
	database.selectAll(statement, [], function(chartArray) {
		for (var i=0; i<chartArray.length; i++) {
			charts.push(chartArray[i][chartCol]);
		}
		console.log(charts);
		processCharts(0, charts);
	});

	function processCharts(index, chartArray) {
		if (index < chartArray.length) {
			var chart = chartArray[index];
			statement = 'SELECT ' + pieceCol + ', ' + valCol + ' FROM ' + tableName + ' WHERE ' + valCol + ' !=0' + ' AND ' + chartCol + " = '" + chart + "'";
			database.selectAll(statement, [], function(results) {
				console.log(results);
				outputChart(chart, results);
				processCharts(index + 1, chartArray);
			});
		} else {
			database.close();
		}
	}

	function outputChart(chart, results) {
		var sumCount = 0;
		var table = [];
		table.push('Country, Count');
		for (var i=0; i<results.length; i++) {
			var row = results[i];
			table.push(row[pieceCol] + ', ' + row[valCol]);
			sumCount += row[valCol];
		}
		table.push('TOTAL, ' + sumCount);
		table.push('SQRT, ' + Math.sqrt(sumCount));
		var fs = require('fs');
		fs.writeFileSync(chart + ".csv", table.join("\n"));
	}

	function fatalError(error, message) {
		var message = (error != null) ? error.toString() + " " + message : message;
		console.log("Error: " + message);
		database.close();
		process.exit(1);
	}
};

//2. for each version
//2a. get sum of count
//2a. select country, count where count != 0
//2c. output in columns Country.cvs (country, count) + total, count + sqrt, count

pieChart();


text:
Corum's heritage is that of a watch maker with a maritime tradition. And the all new limited edition Admiral's Cup 45 Minute Repeater Tourbillon is a grand celebration of that history and draws much of its inspiration and function from the history of seafarers.
Minute repeaters are not often found on watches meant for the sea, but Corum added it as a way to celebrate maritime history. Traditionally life aboard a ship was governed by the ringing of bells, and thus Corum pays homage to this tradition through the deliberate use of materials and components to create resonance by the striking mechanism of the repeater.
For this purpose Corum utilizes a titanium case in the Admiral's Cup 45 Minute Repeater Tourbillon for both its resistance to corrosion and exceptional acoustic qualities. Ten of Corum's finest watch making craftsmen spent approximately two years developing the mechanism to ensure accuracy of movement and tone emitted. The heart of the striking system, the minutes rack, is inverted compared to most repeaters and thus adds volume and the correct pitch Corum desired for their new wristwatch. Additional changes were made to the mechanics to control the time between notes and fine tune the cadence. The gongs themselves have been adjusted to sequence the cheerful harmony of an A note for hours and C sharp for the minutes.
In keeping with the astonishing amount of attention given to the function and sound of this device, all surfaces receive hand finished details inside and out of beautifully complimenting polished, circularly brushed, grained, and decorated. A smoked sapphire crystal replaces the dial and highlights the watch's intricate movement. And as with all Corum Admiral Cup models the 45mm case receives the recognizable 12-sided bezel in satin finish, which also includes an ingenious hidden winding function that allows it to wind the minute repeater as well.
Corum is limiting its production of the Admiral's Cup 45 Minute Repeater Tourbillon model to only one run of 15.
For more information about this beautifully crafted watch, visit the Corum website.
This entry was posted in INTEGRATE and tagged Admiral's Cup 45 Minute Repeater Tourbillon, Corum, Corum Admirals Cup, Luxury Watches, Men's Watches, Tourbillon, watch, watches. Bookmark the permalink.


THIS BEAUTY IS IN VERY GREAT CONDITION AND WOULD MAKE SOMEONE A GREAT CAMPER TO START OUT IN WITH THE KIDS!!! IT WAS VERY WELL TOOK CARE OF THE CARPET YOU COULD EAT OFF!!! IT HAS A SEPERATE BEDROOM IN THE FRONT AND THE BUNKS FOR THE KIDS OR STORAGE IS IN THE BACK WITH A FULL KITCHEN AND LIVING ROOM!!! I CAN HAVE IT DELIVERED FINANCED HITCHED WHATEVER YOU NEED TO GET YOU AND YOUR FAMILY OUT HAVING FUN THIS SPRING IM HERE TO WORK FOR YOU!!! MY NAME IS BEN MY NUMBER IS !!!!


text:
POLYALUMINUM CHLORIDE
CAS NO. 1327-41-9 (Basic)
EINECS NO. 215-477-2 (Basic)
Aln(OH)mCl3n-m
MOL WT.
SYNONYMS Polyaluminum chlorohydrate; PAC;
Polyaluminum hydroxychloride;
PHYSICAL AND CHEMICAL PROPERTIES (SOLUTION)
PHYSICAL STATE clear to yellow liquid
BOILING POINT > 100 C
SPECIFIC GRAVITY 1.36 - 1.38
SOLUBILITY IN WATER Soluble
NFPA RATINGS
Health: 13; Flammability: 0; Reactivity: 0
FLASH POINT Not combustible
Flocculants are used in water treatment. The addition of flocculants to raw water causes colloids and other suspended particles to stick together and form heavier particles (floc) which will be removed by the sedimentation or filterability. This flocculation (or called coagulation) process is to aid the removal of contaminants like fine solid pollutants or microscopic molecules which are difficult or impossible to be removed by filtration alone. Generally flocculants are multivalent cations such as aluminium, iron, calcium or magnesium. Many of the suspended water particles have a negative electrical charge which repels each other. Positively charged flocculants attract and stick to many of the suspended water particles. Many of flocculant s cations, under appropriate pH and other conditions, react with water to form insoluble hydroxides which join together to form larger settleable particles or physically traps small particles into the larger floc. There are organic flocculants also. The most common and powerful organic flocculant is polyacrylamide which have the long-chain to trap small particles into the larger floc. One of the common coagulants is aluminum sulfate which ,under neutral or slightly-alkaline conditions, reacts with water to form gelatinous precipitate of aluminum hydroxide. Polyaluminum chloride (PAC) of the general formula AlnCl(3n-m)(OH)m is useful as this compound have a wide range of pH value according to the subscripts n and m. The actual pH correlates to the formula m/(3n). It provides a choice for the exact pH value applications. The most common PAC for water purification is Al12Cl12(OH)24. The form of Al2Cl(OH)5 is used as a deodorant and an antiperspirant. Other modified PAC compouinds include polyaluminum hydroxidechloride silicate (PACS) and polyaluminum hydroxidechloride silicate sulfate (PASS). Members of flocculants include:
Polyaluminum hydroxidechloride silicate sulfate
Polyaluminum hydroxidechloride silicate
Sodium aluminate
Sodium silicate
PAC is also used in reducing the need of pH adjustment and is often employed in the place where the pH of the receiving stream is higher than 7.5. PAC is also used in the pulp (or paper) industry as a size bonding agent, drainage work aid and surface trash scavenger.
The term of alum refers to various isomorphous solid sulfates composed of trivalent metals and univalent metals, especially aluminum potassium sulfate, AlK(SO4)2·12H2O, a white, crystalline compound. Alums have the general formula M2SO4·MIII2(SO4)3·24H2O, where M is one of alkali metals (potassium, sodium, rubidium, caesium, silver. thallium or ammonium), and MIII denotes one of the trivalent cation (e.g., aluminum, chromium, iron, manganese, cobalt, or titanium). In aqueous solution, alums show all the chemical properties that their components show separately. These salts are used in water purification, leather tanning, coagulation agent for rubber latex, setting dyes (mordant), fireproofing textiles, modifying concrete, baking powder, preparation of lakes, clarifying of turbid liquids and as astringents.
Potassium aluminum sulfate (KAl(SO4)2·12H2O, CAS RN: 7784-24-9 (Dodecahydrate), 10043-67-1 (Anhydrous))
Sodium aluminum sulfate (NaAl(SO4)2·12H2O, CAS RN: 10102-71-3)
Ammonium aluminum sulfate (NH4Al(SO4)2·12H2O, CAS RN: 7784-25-0 (Anhydrous), 7784-26-1 (Dodecahydrate))
Chromium potassium sulfate (KCr(SO4)2·12H2O, CAS RN: 10141-00-1 (Anhydrous), 7788-99-0 (Dodecahydrate))
Aluminum fluorosulfate (FAl(SO4)2·12H2O, CAS RN: 73680-58-7)
clear to yellow liquid
Al2O3 CONTENT 18 ± 1%
Cl 20 ± 1%
SOLID CONTENT 40 ± 1%
FREEZING POINT
PACKING 250 kg in drum


Dean Starkman's piece feels oddly timed, especially when you think about the number of outstanding stories being shared in the Longreads community every day and the popularity of long-form content in Pocket.
1. Starkman is examining just four newspapers (The New York Times, Washington Post, the Wall Street Journal and Los Angeles Times), leaving out papers like the Tampa Bay Times, who are dedicated to great storytelling.
2. It appears the number of long-form stories are actually on the upswing at the NYT and Washington Post since 2011—just as tablet and smartphone adoption was growing. That leaves the Los Angeles Times (which still does great work) and the Wall Street Journal. The latter has been quite clear about its desire to go shorter.
3. As a commenter noted on Romenesko, is there a correlation with the drop in overall space in the print edition of these newspapers?
4. Even if newspapers are cutting their long-form content, it's a missed opportunity, because they'd be the only ones doing so. Online publishers like Deadspin, The Awl and The Verge and niche magazine publishers are only deepening their commitment to this storytelling.
Next Post What's a Better Metric for the 'Health' of Longform?


BRANDON MUCCIGROSSO was booked on 10/30/2018 10:16:00 PM. MUCCIGROSSO was arrested by SHEPHERDSVILLE POLICE in Shepherdsville, Kentucky. MUCCIGROSSO was 36 years old at the time of the arrest.
BRANDON MUCCIGROSSO may not have been convicted of the charges or crimes listed and are presumed innocent until proven guilty. Please contact the SHEPHERDSVILLE POLICE for more information regarding arrest records.


"Distilled in 1997 and aged for 16 years in a single sherry hogshead, the whisky has been bottled at natural cask strength and only 96 bottles have been filled and made available.
Colour: Dark mahogany, burnt orange.
Nose: Deeply sherried, relaxed leather chairs, a touch of damp straw.
Palate: Thick, amazingly accessible for the abv, mouth coating with a good amount of barley. Slight cola cubes. It's sweet but not so much that it's too much. Enough spice to keep you happy.
Finish: Soft and long, gentle sunned raisins stick to your palate. Kind of slightly fizzy.
Water: Doesn't seem to need it, but can take quite a lot without making much difference, it brings out the wood notes a little more.
Thoughts: Fabulously balanced and enjoyable dram, a proper late evening whisky to stick your feet up with. A Ben Nevis at the top of it's game.
Thanks to Abbey Whisky for the sample.
This entry was posted in Review, Whisky and tagged Ben Nevis. Bookmark the permalink.


During a phone call, agents may encounter problems communicating digit tones to an IVR system using the telephone key pad. For example, during an outbound call, an agent inputs an account number in response to an IVR system prompt, the account number may be incorrectly conveyed due to digit audio leakage during transmission among diverse networks. Keyboard dialing provides an alternate mechanism to counteract this issue. It offers an alternate long tone method through an Virtual Contact CenterA contact center that enables agents to be located in different geographical locations yet managed as if they were located in the same physical location. Dial Pad interface to convey digit tones from an Agent ConsoleVirtual Contact Center's browser-based graphical user interface (GUI) used by Agents to manage customer interactions. to a touch tone IVR system across diverse networks limiting the possibility of digit audio leakage.
Keyboard dialing allows an agent to generate two types of digit (DTMF) tones – Short tone, Long Tone. When the default short tone fails, an agent may select long tone using the Dial Pad interface to communicate the information correctly to the destination IVR system.
Preserves the digit tone setting per agent, per browser, and per workstation. If an agent logged out and logged back into the same workstation, previous setting of the digit tone is maintained until the next manual change.
Generates digit tones for the active line only in the event of an agent handling two busy lines.
Allows navigating voicemail IVR to access voicemails.
•	Not readily available when call is put on "Mute".
•	Not supported for Virtual Contact Center CTI Connect for Salesforce.
•	Not supported for recording personal greetings during verification calls.


text:
Do machines speak? Audio fingerprinting of internal combustion engines
Sensor data analytics is a fast-growing trend in the industrial domain. Audio, despite its holistic nature and huge importance to human machine operators, is usually not utilised to its full potential. In this blog post we showcase some of these possibilities through a research experiment case study conducted as part of the IVVES research project.
Kirjoittaja: Niko Laaksonen Data Scientist
On a cold winter morning in December 2021 in the Solita Research R&D group we packed our bags with various audio recording equipment and set our sights on a local industrial machine rental company. We wanted to answer a simple question: do machines speak? Our aim was to record sound from multiple identical industrial grade machines (which turned out to be 53 kg soil compactors) in order to investigate whether we could consistently distinguish them based on their sound alone. In other words, just as each human has a very unique voice, our hypothesis was that the same would be true for machines, that is, we wanted to construct an audio fingerprint. This could then be used not only to identify each machine, but to detect if a particular machine's sound starts to drift (indicating a potential incoming fault) or to check whether the fingerprint matches before and after renting out the machine, for example.
It is always important to keep the business use case and real-world limitations in mind when designing solutions to data-based (no pun intended) problems. In this case, we identified the following important aspects in our research problem:
The solution would have to be lightweight, capable of being run on the edge with limited computational resources and internet connectivity.
Our methods should be robust against interference from varying levels of background noise and variances in how users hold the microphone when recording a machine's sound.
It would be important to be able to communicate our results and analysis to domain experts and eventual end users. Therefore, we should focus on physically meaningful features over arbitrary ones and on explainable algorithms over black boxes.
The set-up of our experiment should be planned to ensure high-quality uncontaminated data that at the same time would serve to produce the best possible research outcome while being representative of the data we might expect for a productionalised solution.
In this blog post we will focus on points 1. and 3. and we'll return to 2. and 4. in a follow-up post.
Analysing Sound
We are surrounded by a constant stream of sound mixed together from a multitude of sources: cars speeding along on the street, your colleague typing on their keyboard or a dog barking at songbirds outside your window. Yet, seemingly without any effort, your brains can process this jumbled up signal and tell you exactly what is happening around you in real-time. Our hope is that we could somehow imitate this process by developing audio analysis methods with similar properties.
Figure 1. On the left is the waveform for the sound produced by the author uttering "hello". On the right is the corresponding spectrogram.
It is quite futile to try to analyse raw signals of this type directly: each sound source emits vibrations in multiple frequencies and these get combined over all the different sources into one big mess. Luckily there is a classical mathematical tool which can help us to figure out the frequency content of an audio (or any other type) wave: the Fourier transform. By computing the Fourier transform for consecutive small windows of the input signal, we can determine how much of each frequency is present at a given time. We can then arrange this data in the form of a matrix, where the rows correspond to different frequency ranges and columns are consecutive time steps (typically in the order of 10-20 milliseconds each). Hence, the entries of the matrix tell you how much of each frequency is present at that particular moment. The resulting matrix is called a spectrogram, which we can visualise by colouring the values based on their magnitudes: dark for values close to zero with lighter colours signifying higher intensity. In Figure 1 you can see an example of the waveform produced by the author uttering "hello" and the resulting spectrogram. The process of transforming the original signal to its constituent frequencies and studying this decomposition is called spectral analysis.
From Raw to Refined Features
The raw frequency data by itself is still not the most useful. This is because different audio sources can of course produce sounds in overlapping frequency ranges. In particular, a single machine can have multiple vibrating parts which each produce their distinct sound. Instead, we should try to extract features that are meaningful to the problem at hand—classification of fuel powered machines in this case. There are many spectral features that could be useful (for some inspiration you can check out our public Google Colab notebooks or the documentation of librosa, a popular Python audio analysis library).
In this blog we'll take a slightly different approach. Our goal is to be able to compare the frequency data of different machines at two points in time, but this won't be efficient (let alone robust) if we rely on raw frequencies. This is because of background noise and the varying operating speed of the engines (think about how the pitch of the sound is affected by how fast the engine is running). Instead, we want to pool together individual frequencies in a way that would allow us to express our high-dimensional spectrogram in terms of a handful of distinct frequency range combinations.
Figure 2. Each principal component is some combination of frequencies with different weights.
Luckily there is, yet again, a classical mathematical tool which does exactly this: principal component analysis (PCA). If you've taken a course in linear algebra then this is nothing more than matrix diagonalisation, but it has become one of the staple methods of dimensionality reduction in the machine learning world. The output of the PCA-algorithm is a set of principal components each of which is some combination of the original frequencies. In Figure 2 we plot the weight of each frequency for two principal components: in the first component we have positive weights for all but the lowest of frequencies while for the second one the midrange has negative weights. An additional reason for why PCA is an attractive method for our problem is that the resulting frequency combinations will be linearly independent (i.e. you cannot obtain one component by adding together multiples of the other components). This is a crude imitation of our earlier observation that a single machine can have multiple separate parts producing sound at the same time. The crux of the algorithm is that in order to faithfully represent our original data, we only have to keep a small number of these principal components thus effectively reducing the dimensionality of our problem to a more manageable scale.
Structure in Audio
Now that we have a sequence of low-dimensional feature vectors that capture the most important aspects of the original signal, we can try to start finding some structure in this stream of data. We do this by computing the self-similarity matrix (SSM) [1], whose elements are the pairwise distances between our feature vectors. We can visualise the resulting matrix as a heat map where the intensity of the colour corresponds to the distance (with black colour signifying that the features are identical), see Figure 3.
Figure 3. The (i, j)-entry of the self-similarity matrix (on the right) is given by the distance between the feature vectors at times ti and tj. Black colour corresponds to zero distance i.e. the vectors being equal.
In Figure 4 you can see a part of an SSM for one of the soil compactors. By definition, time flows along its main diagonal (blue arrow). Short segments of the audio that are self-similar (i.e. the nature of the sound doesn't change) appear as dark rectangles along the diagonal. For each rectangle on the main diagonal, the remaining rectangles on the same row show how similar the other segments are to the one in question. If you pause here for a moment and gather your thoughts, you might notice that there are two types of alternating segments (of varying duration) in this particular SSM.
Figure 4. Self-similarity matrix for one of the soil compactors. Time flows down the main diagonal on which the dark rectangles signify self-similar segments.
Do machines speak?
We have covered a lot of technical material, but we are almost done! Now we understand how to uncover patterns in audio, but how can we use this information to tell apart our four machines? The more ML-savvy readers might be tempted to classify the SSMs with e.g. convolutional neural networks. This might certainly work well, but we would lose sight of one of our aims which was to keep the method computationally light and simple. Hence we proceed with a more traditional approach.
Recall that we have constructed a separate SSM for each machine. For each of the resulting matrices, we can now look at small blocks along the diagonal (see Figure 5) and figure out what they typically look like. If we scale the results to [-1, 1], we obtain a small set of fingerprints (we also refer to these as kernels) for each machine. Just like you (hopefully) have ten fingers each with its own unique fingerprint, a machine can also have more than one acoustic fingerprint. We have visualised a few of these for one of the machines in Figure 5.
Figure 5. Fingerprints (on the right) for a single machine computed from its self-similarity matrix on the left.
We are now ready to return back to the machine rental shop to test if our solution works! Once we arrive, we follow the set of instructions below in order to determine which machine is which (see Figure 6 for an animation of this process):
Turn on the machine and record its sound.
While the machine is running, compute the self-similarity matrix on the fly.
Slide the fingerprints for each machine along the diagonal and compute their activations (by summing the elementwise product).
The fingerprint which reacts to the sound the most tells you which machine is running.
Figure 6. By computing the activations of each fingerprint on freshly recorded audio, we can find out which machine has been returned to the rental shop.
And that's it! We saw how something seemingly natural, the sounds surrounding us, can produce very complex signals. We learned how to begin to understand this mess via spectral analysis, which led us to uncover structure hidden in the data—something our brain does with ease. Finally, we used this structure to produce a solution to our original business use case of classifying machine sounds.
I hope you have enjoyed this little excursion into the mathematical world of audio data and colourful graphs. Maybe next time you start your car (or your soil compactor) you might wonder whether you could recognise its sound from your neighbour's identical one and what it is about their sounds that lets your brain achieve that.
If you are interested in applying advanced sensor data (audio or otherwise) analytics in your business context please reach out to me or the Solita Industrial team.
[1] J. Foote, Visualizing Music and Audio using Self-Similarity, MULTIMEDIA '99, pp. 77-80 (1999) http://www.musanim.com/wavalign/foote.pdf
audio analysismachine learningpredictive maintenancesensor datasolita-research
Solita Health researched: Omaolo online symptom checker helps to predict national healthcare admissions related to COVID-19
In our recently published study [1], I and my Solitan colleagues Kari Antila and Vilma Jägerroos examined the possibility of predicting the burden of healthcare using machine learning methods. We used data on symptoms and past healthcare utilization collected in Finland. Our results show that COVID-19-related healthcare admissions can be predicted one week ahead with an average accuracy of 76% during the first wave of the pandemic. Similar symptom checkers could be used in other societies and for future epidemics, and they could provide an opportunity to collect data on symptom development very rapidly - and at a relatively low cost.
Kirjoittaja: Joel Röntynen
The rapid spread of the SARS-CoV-2 virus in March 2020 presented challenges for nationwide assessment of the progression of the COVID-19 pandemic. In Finland, Solita helped to add a COVID-19 symptom checker to a pre-existing national, CE-marked medical symptom checker service ©Omaolo. The Omaolo COVID-19 symptom checker achieved considerable popularity immediately after its release, and the city of Helsinki, for example, has estimated annual savings of 2.5 million euros from its use. Although there have been studies about how well symptom checkers perform as clinical tools, their data's potential on predicting epidemic progression, to our knowledge, has not yet been studied.
For this purpose, Solita developed a machine learning pipeline in the Finnish Institute for Health and Welfare's (THL) computing environment for automated model training and comparison. The models created by Solita were retrained every week using time-series nested cross-validation, allowing them to adapt to the changes in the correlation of the symptom checker answers and the healthcare burden. The pipeline makes it easy to try new models and compare the results to previous experiments.
We decided to compare linear regression, a simple and traditional method, to XGBoost regression, a modern option with many hyperparameters that can be learned from the data. The best linear regression model and the best XGBoost model (shown in the figure) achieved mean absolute percentage error of 24% and 32%, respectively. Both models get more accurate over time, as they have more data to learn from when the pandemic progresses.
COVID-19–related admissions predicted by linear regression and XGBoost regression models, together with the true admission count during the first wave of the pandemic in 2020.
Our results show that a symptom checker is a useful tool for making short-term predictions on the health care burden due to the COVID-19 pandemic. Symptom checkers provide a cost-effective way to monitor the spread of a future epidemic nationwide and the data can be used for planning the personnel resource allocation in the coming weeks. The data collected with symptom checkers can be used to explore and verify the most significant factors (age groups of the users, severity of the symptoms) predicting the progression of the pandemic as well.
You can find more details in the publication [1]. The research was done in collaboration with University of Helsinki, Finnish Institute for Health and Welfare, Digifinland Oy, and IT Centre for Science, and we thank everyone involved.
If you have similar register data and would like to perform a similar analysis, get in touch with me or Solita Health and we can work on it together!
Joel Röntynen, Data Scientist, joel.rontynen@solita.fi
[1] Limingoja L, Antila K, Jormanainen V, Röntynen J, Jägerroos V, Soininen L, Nordlund H, Vepsäläinen K, Kaikkonen R, Lallukka T. Impact of a Conformité Européenne (CE) Certification–Marked Medical Software Sensor on COVID-19 Pandemic Progression Prediction: Register-Based Study Using Machine Learning Methods. JMIR Form Res 2022;6(3):e35181, doi: 10.2196/35181, PMID: 35179497
covidhealthmachine learningomaolosolita-research
Reading the genomic language of DNA using neural networks
Neural networks are powerful tools in natural language processing (NLP). In addition, they can also learn the language of DNA and help in genome annotation. Annotated genes, in turn, play a key role in finding the causes and developing treatments for many diseases.
Kirjoittaja: Venla Viljamaa
I have been finishing my studies while working at Solita and got the opportunity to do my master's thesis in the ivves.eu research program in which Solita is participating. The topic of my thesis consisted of language, genomics and neural networks, and this is a story of how they all fit into the same picture.
When I studied Data Science at the University of Helsinki, courses in NLP were my favorites. In NLP, algorithms are taught to read, generate, and understand language, in both written and spoken forms. The task is difficult because of the characteristics of the language: words and sentences can have many interpretations depending on the context. Therefore, the language is far from accurate calculations and rules where the algorithms are good at. Of course, such challenges only make NLP more attractive!
This is where neural networks and deep learning come into play. When a computational network is allowed to process a large amount of text over and over again, the properties of the language will gradually settle into place, forming a language model. A good model seems to "understand" the nuances of language, although the definition of understanding can be argued, well, another time. Anyways, these language models taught with neural networks can be used for a wide variety of NLP problems. One example would be classifying movie reviews as positive or negative based on the content of the text. We will see later how the movie reviews can be used as a metaphor for genes.
In recent years, a neural network architecture called transformers has been widely used in NLP. It utilizes a method called attention, which is said to pay attention to emphases and connections of the text (see the figure below). This plays a key role in building the linguistic "understanding" for the model. Examples of famous transformers (other than Bumblebee et al.) include Google's BERT and OpenAI's GPT-3. Both are language models, but transformers are, well, transformable and can also be used with inputs other than natural language.
An example of how transformers self-attention "sees" the connections in a sentence. The difference of the last word completely changes what the word "it" most refers to.
DNA-language
And here DNA and genomes come into the picture (also literally in the picture below). You see, DNA has its own grammar, semantics, and other linguistic properties. At its simplest, genes can be thought of as positive movie reviews, and non-coding sequences between genes as negative reviews. However, because the genomes of organisms are part of nature, genes are a little more complex in reality. But this is just one more thing that language and genomics have in common: the rules do not always apply and there is room for interpretation.
Simplification of a genome and a gene. Genomic data is a long sequence of characters A, T, C, and G representing four nucleotide types. Genes are coding parts of the genome. At their simplest, they consist of start and end points and the characters between them.
Since both text and genomic data consist of letters, it is relatively straightforward to teach the transformer model with DNA sequences instead of text. Like the classification of movie reviews in an NLP-model, the DNA-model can be taught to identify different parts of the genome, such as genes. In this way, the model gains the understanding of the language of DNA.
In my thesis, I used DNABERT, a transformer model that has been pre-trained with a great amount of genomic data. I did my experiments with one of the most widely known genomes, E. coli bacterium, and fine-tuned the model to predict its gene locations.
Example of my experiments: the Receiver operating characteristic (ROC) curves helped me to find the most optimal input length for the genome data. Around 100 characters led to the highest curve and thus the best results, whilst 10 was obviously too short and 500 too long.
After finding the most optimal settings and network parameters, the results clearly showed the potential. Accuracy of 90.15% shows that the model makes "wise" decisions instead of just guessing the locations of the genes. Therefore the method has potential to assist in the basic task of bioinformatics: new genomes are sequenced at a rapid pace, but their annotation is slower and more laborious. Annotated genes are used, for example, to study the causes of diseases and to develop treatments tailored to them.
There are also other methods for finding genes and other markers in DNA sequences, but neural networks have some advantages over more traditional statistics and rule based systems. Rather than human expertise in genomics, the neural network based method relies on the knowledge gathered by the network itself, using a large amount of genomic data. This saves time and expert hours in the implementation of the neural network. The use of the pre-trained general DNA language model is also environmentally friendly. Such a model can be fine-tuned with the task-specific data and settings in just a few iterations, saving computational resources and energy.
There is a lot of potential in further developing the link between transformer networks and DNA to study what else the genome language has to tell us about the life around us. Could this technology contribute to the understanding of genetic traits, the study of evolution, the development of medicine or vaccines? These questions are closely related to the healthcare field, in which Solita has strong expertise, including in research. If you are interested in this type of research, I and other Solita experts will be happy to tell you more!
Venla Viljamaa (Data Scientist) venla.viljamaa@solita.fi linkedin.com/in/venlav/
genomicshealthIVVESneural networkNLPsolita-researchtransfer learning


Gifted with the skill to translate trends and developments to the impact on our daily life and work. Like nobody else, Ruud knows that creating a future with perspective takes more than 'just' hard work. To create the future we all want and desire, we need relevant information, clear insights and effective leadership.


Dating personals are entertaining mainly when you have some on-line relationship tips to go along with it. These pro-active dating tips for men are to send messages to several women and not to limit your targets by being overly selective. Our library of free dating advice and tips has dating ideas that everyone can use, regardless of whom an article appears to be geared towards.So if you're looking for love or just some new friends, give online dating a try. Nevertheless, companionship is something everyone should experience, which will hopefully lead to a long lasting relationship.
If you are interested in developing a serious relationship that may lead to a long-term commitment, you need to approach each date as an investment in that commitment.There is a difference between being enabling and being helpful and a partner in a relationship. Most of would sooner find someone to be helpful than an enabler. While a difference in age may be a concern, if he's the right one for you, the future can be bright for your relationship.
Don't let age stop you if you like someone.The problem with dating tips is that they usually come from family and friends. There are dating tips for today's dating world from a woman's perspective.
These instructions for dating personals would come in handy when you come to a decision to forge forward and start corresponding with any person. Here are added issues to consider.Try our accurate and helpful dating tips to see what the future brings you.
In this ever continuing edition of free adult dating tips, I will go over what to wear and what not to wear. Get dating tips that can help you in all areas of your life, personal health, education, finance and business, career, romance and marriage and children. Know in advance exactly where you are going on your first date and do not let anything change your plans.While some sites ask for a payment for the extended online dating services they offer. Free dating sites will help you get over the initial nervousness, as you will know a whole lot of things about the person, before you meet him or her.For paying members, it is often unclear whether a potential contact has a full subscription and whether he or she will be able to reply at all.
On dating sites which require credit card information to join, these trial memberships may automatically become full memberships at the end of the trial period and charge the full monthly fee, without any additional action from the member, regardless of whether the member has actually used the services or not.Dating Personals.


The SDK, how does it work and whats in it.
What does my tool-chain look like..
I personally use a "TI MSP-FET430UIF" or as printed on my box "MSP FETU430IF" - this product is discontinued - but any TI Jtag USB debug/coder interface should be usable.
As for development environment I use "Code Composer Studio 6.1.1" - all code are written in ANSI c, except the code from TI that works around a RTC flaw in the MCU.
- My complete software with all code - Code Composer project zipped.
I have chosen NOT to include documentation from Texas Instruments on the MSP430F5419a and alle other related PDF - they are better fetched from TI.com.


Dark spaceship interior with neon an lowpoly human head. Seamless animation of the camera moving through the corridors. Mysterious atmosphere.
Polygonal black sphere with white edges and light background. Abstract Black plexus Geometric, Polygonal or Lowpoly Style Sphere made From a lines and dots or nodes.


text:
De Minderbroedersstraat (Hasselts: Pâterkeskerrekstroat) is een straat in het historische centrum van de Belgische stad Hasselt.

Geschiedenis
De straat werd voor het eerst vermeld als platea Flamingerorum in een Latijnse schenkingsakte uit 1337. Enkele jaren later verschijnt de benaming Vleminckstraet, een vernoeming naar de lakenwevers en volders die zich vanuit Gelderland en later vanuit het hertogdom Brabant in Hasselt kwamen vestigen. Zij werden door de lokale bevolking Vlemen of Vlemingen genoemd.

In 1634 kwamen de minderbroeders zich in de stad vestigen. Zij bouwden in de straat een klooster en een kerk die in 1655 werd ingewijd. In de loop van de 18de eeuw kreeg de oude Vleminckstraet stilaan haar huidige benaming. De eerste vermelding van een minnebroedersstraet werd teruggevonden in 1736 terwijl de laatste vermelding Vlaminghstraet dateert van 1770.

Tijdens de Franse overheersing werd de straat omgedoopt in rue de la Préfecture wegens de vestiging van de onderprefectuur in het inmiddels verlaten klooster. Nadat de Fransen verdreven waren, kreeg de straat haar oude benaming terug. Het duurde echter nog tot 1898 vooraleer de minderbroeders het complex opnieuw betrokken.

De Hasselaren noemen de straat steevast Pâterkeskerrekstroat (Paterkeskerkstraat) en verwijzen hiermee naar het Heilig Paterke (Valentinus Paquay), de biechtvader-minderbroeder die in de grafkapel van het minderbroedersklooster begraven ligt.

Beschrijving
De Minderbroedersstraat heeft een lengte van 200 meter loopt van de Demerstraat naar de Dorpsstraat en de Isabellastraat. De Schrijnwerkersstraat is de enige zijstraat. In de straat geldt eenrichtingsverkeer van west naar oost; de huisnummering loopt van tot 2 tot 58 aan de even zijde en van 3 tot 29 aan de oneven zijde.

Erfgoed in de straat

Beschermd erfgoed
 nr. 11: voormalig directiegebouw van de Dienst voor de Scheepvaart (beschermd in 1980)
 nr. 15-17-19-21: minderbroederscomplex, bestaande uit het klooster met het Valentinusmuseum, de Sint-Rochuskerk en de grafkapel van het Heilig Paterke (beschermd in 1980)
 nr. 18-20-22-24-26: Het Beluikske (beschermd in 1983)

Ander onroerend erfgoed
De Minderbroedersstraat werd als geheel opgenomen in de Inventaris van het Bouwkundig Erfgoed. Andere gebouwen die werden opgenomen:
 nr. 7: Huis De Rode Leeuw
 nr. 12: voormalige politie- en brandweerkazerne
 nr. 44: woning

Galerij

Straat in Hasselt
Belgisch bedevaartsoord

redpajama_set_name: RedPajamaWikipedia


text:
This Week in the Herald – Sleepy Conductors.
This week i wrote about the CN strike (which ended an hour after my deadline) and CP's move into Saint John NB.
This entry was posted in Herald Column, Railway on November 27, 2019 by Peter.
CP announced today that it purchased the Central Maine and Quebec Railway. What makes this buy so weird, is that the track once belonged to CP.
in 1994, CP sold off all its trackage east of Montreal. those assets were owned by Iron Road, which want bankrupt. the Montreal Maine and Atlantic was formed out of a portion of those assets, itself went bankrupt in 2014 after the Lac Megantic disaster.
Other assets in the area were sold to Irving, and operate as the NBSR. CP maintained rights over those lines until 1993.
since CP is re-acquiring the track, it will now have direct access to Saint John. this suggests they have business. Oil by Rail is certainly a possibility, however that has already been occurring form North Dakota. Alberta oil is to heavy to be processed by the saint john refinery, but that doesn't mean there isn't an opportunity to load crude tankers with Alberta oil on a second leg voyage. is that play big enough? good question.
what if MSC shipping were to pull out of Montreal – even Partially? MSC currently calls on Montreal and Saint John. Montreal is out of the way, and delays in recent years due to ice, and North Atlantic Right Whale speed reductions likely cause grief to the MSC Schedule. A suitable rail partner could get the containers inland just as fast, and save days of sailing.
Saint John terminal operator DP World is already listing connections to CP via the NBSR on its website, previously that connection was only possible via PanAm Railways, into New York state.
This entry was posted in container ship, Railway on November 20, 2019 by Peter.
the Future HMCS Harry DeWolf is scheduled for builders trials in the basin Friday the 22nd. the ship is scheduled for trials outside the harbour Saturday the 23rd.
the dates were pushed back a day due to weather.
AOPS #2 is scheduled to move to pier 7 today at 4pm.
coming off the dock
out into the stream
Rotation finished, under own power.
Off Pier 9
Under the Mackay, Passing BIO
This entry was posted in AOPS, Halifax Shipyard, Navy, new build on November 20, 2019 by Peter.
I tweeted the above photo of my new setup, and it seemed to be quite popular, so i thought i would post an explanation of the setup.
All vessels over 350grt are required to transmit an ais signal (automatic identification system) over VHF. I have a 8′ VHF antenna mounted on my house connected to an SR-161 AIS receiver. The AIS receiver converts the VHF signal to an NMEA sentence. The NMEA sentence is sent to an old laptop running ShipPlotter which takes the NMEA data, logs it, displays it on screen, and sends the update to marinetraffic.com. (I operate station 347)
the 3 monitor setup is accomplished by running 3 instances of ShipPlotter. The first (the basin display) is a remote session to the PC that is connected to the AIS Receiver. its set to send data to the machine running the 3 monitors, and runs 2 instances of ShipPlotter. those 2 instances listen for output from the first on their own ports. then it was just a matter of adding the proper charts, and choosing the desired zoom level.
A big benefit to the 3 displays is that i now have a clearer view of traffic, and the ships render to scale. for clarity sake, i set the charts to be 75% transparent in ShipPlotter, which preserves readability, but makes the screen less cluttered.
having logged data let me do things like make maps after the fact. I have posted 2 revisions of the traffic map, the full view, and some closeups, as well as a how to post covering how i built it.
This entry was posted in Uncategorized on November 20, 2019 by Peter.
this feature seems to come and go. its see if we can maintain a long run of this.
1.Women Running Ships.
Charlene Munden is Captain of the Laker Tim S. Dool. The F/V Nellie Row out of Lunenburg sails with an all female crew.
2. Labour
Quebec/PEI Ferry operator sued by Seafarers union over temporary foreign workers.
3. CG needs ships
lack of vessels is a problem for the CG. a Fall survey was canceled after the ship used in the spring was unsuitable, Plus there are no functioning buoy tenders on the East coast due to refits and work periods.
4.Ghost ship
the Lubov Orlova appears again in this CBC Long Read.
Nov 18 1942: HMCS GODERICH is damaged in collision with the tanker Iocoma, in Halifax harbour, requiring three weeks of repairs.
Nov 16 1857: PO William Hall earns Victoria Cross while serving in HMS SHANNON at Relief of Lucknow, India. He is 1st Candian, Black and Nova Scotian Sailor to be awarded the VC.
Nov 15 1991: HMCS ALGONQUIN, while undergoing post-TRUMP tilting/incline trials at Halifax, takes on water and lists to 25 degrees on her port side.
Nov 15 1987: The freighter Hosanna I registered in Honduras sinks without a trace off Cape Race Newfoundland. All the crew of 33 are lost.
Nov 13 1942: USS Juneau was sunk in the Pacific. All five brothers of the Sullivan family, Waterloo, Iowa were killed.
Nov 12 1912: The frozen bodies of Robert Scott and his men are found on the Ross Ice Shelf in Antarctica.
This entry was posted in Weekly News on November 18, 2019 by Peter.
This week in the Herald, I outline the likely cause of one oceans troubles, and some of their shoddy practices. I have spoken with several former crew, and others associated with OOE, and pretty much everyone is willing to talk.
One of the crew members I spoke with indicated that auctions were held on board ship to raise money for various Non-governmental organizations. She suggested It was an open secret that the NGO's were not receiving the funds. This story was also corroborated by another crew member told me that one of the signature items available for onboard auction was a Nautical Chart of the Voyage, marked with ship's positions and course, and then decorated with images of area wildlife. These charts typically sold in the $2000-4000usd range, and 10-12 were produced on various cruises.
I spoke with Ron Naveen, the president of Oceanites. The organization has for the past 25 years conducted a Antarctic penguin survey, and had researchers travel aboard One Ocean ships. Ron indicated that One Ocean had been a good partner in supporting their work, and had raised money for the organization, however One Ocean was always slow to pass on funds raised, and is currently 2 years behind in remitting funds raised.
Naveen believes the losses to Oceanites are in the 6 figures, both from funds raised but not delivered, and from future fundraising conducted by other organizations on OOE Cruises. He has also had to find other companies to facilitate the work they do.
John Geiger, the CEO of The Royal Canadian Geographic Society also indicated they had suffered losses, but were unable to detail what they were or the amounts as the organizations board had yet to be briefed. The Society granted the use of the RCGS honorific to OOE's ship Resolute, in recognition of OOE's stong support of research in polar regions.
According to its website, OOE started the One Ocean Foundation in 2017 "to house the growing financial contributions from both passengers and One Ocean Expeditions."
the One Ocean Foundation is a registered Charity in Richmond Hill Ont. Its CRA Filings list three trustees, William J Trotter , Emily R Trotter , and James D Trotter. The foundation shares an address with Wm. J. Trotter & Associates, an accounting firm. BEDI Management, which was also identified as one oceans accounting firm is also located at that address. BEDI management also showed up on credit card statements when down payments were made.
Information posted on CRA's website show the foundation received 25,000 in revenue in 2018 – Grieger told me transfers to their organization, when they occurred, were in the $30-40,000 range, which suggests that the foundation was at best only receiving a portion of the funds raised.
This entry was posted in cruise ship, Herald Column, OOE on November 14, 2019 by Peter.
The latest US Navy Littoral combat ship USS Indianapolis is due this morning, and is expected at the dockyard around 8:30am. the ship is sailing from its builders in Wisconsin, to Mayport Florida.
The ship was commissioned Oct 26 in Burns Harbor Indiana.
photos will follow, but may be delayed due to weather.
This entry was posted in USN, visiting ship on November 12, 2019 by Peter.
The Brooding Soldier
This week, haligonians will collect up their trash and take it to the curb. It's such a normal activity, we think nothing of it, and no one really notices the trash piled at the end of the driveway waiting collection.
Last year in Belgium, 250000kg of unexploded ordnance was dug up by farmers and construction workers just going on with their normal lives. When people find it, they stack it on the side of the road, and call the army to collect it. Since the end of the first world war, its munitions have killed over 300 people.
Tyne-Cot Cemetery in Belgium. there are 8000 Canadians here.
the remnants of war are common, and normal, just like taking out the trash.
Today the battlefields of Belgium are pastoral. There is little sign of the destruction that the war caused – though its there if you know to look. The town of Ypres in Belgium looks hundreds of years old, though the date on the oldest building is 1922. though the town stayed in Allied hands throughout the war, it was obliterated.
When you visit vimy ridge, the monument is striking. But so is the landscape. The ground is pockmarked with shell holes, one connecting with another, no spot untouched. If you ski, and know what a field of mougles look like – that's Vimy ridge, though grassy, and now dotted with trees. Fences and signs warning of unexploded shells keep you on the roads.
this is where in flanders fields was written.
In Flanders fields the poppies blow Between the crosses, row on row, That mark our place; and in the sky The larks, still bravely singing, fly Scarce heard amid the guns below. We are the Dead. Short days ago We lived, felt dawn, saw sunset glow, Loved, and were loved, and now we lie In Flanders Fields. Take up our quarrel with the foe: To you from failing hands we throw The torch; be yours to hold it high. If ye break faith with us who die We shall not sleep, though poppies grow In Flanders Fields.
Major John McCrae, a field surgeon in the Canadian artillery, in the midst of the Second Battle of Ypres, in Belgium, in May 1915. He died of pneumonia at Wimereux, France on January 28, 1918.
I missed the actual launch, but the ship was free from the barge and moving to the Shipyard by 0920 this morning.
I hear trials on the Harry De Wolf are set for the 21st, in the basin.
This entry was posted in AOPS, Halifax Shipyard, new build on November 10, 2019 by Peter.
Approaching pier 9
AOPS #2 has been moved to the basin. The launch will occur tomorrow morning, with the barge beginning to submerge at 4am. Shipyard staff are scheduled to board the ship at 2:45 to check tanks, and valves for leaks as the ship is lowered into the water.
under the Mackay
in the basin
anchoring in the basin.
This entry was posted in AOPS, Halifax Shipyard, Navy, new build on November 9, 2019 by Peter.