Category Archives: Data Mining
ICRI invites applications for BCA in Data Science at Mumbai campus – The Financial Express
The Institution Of Clinical Research India (ICRI), Mumbai has announced the commencement of admissions for the Bachelor of Computer Applications (BCA) programme in Data Science. With focus on interdisciplinary learning and industry-aligned curriculum, the BCA in Data Science programme at ICRI aims to prepare aspiring individuals to become proficient data scientists who can unlock the vast potential of data and drive innovation.
Data science is the driving force behind the digital revolution, and at ICRI, we are committed to equipping students with the skills and knowledge to excel in this field. Our BCA in Data Science programme offers a comprehensive curriculum, industry exposure, and practical training, preparing students to become data scientists and meet the growing demands of the data-driven economy, Kanishk Dugal, COO, ICRI, said.
The curriculum of the BCA in Data Science programme is crafted to ensure a comprehensive learning experience. Students engage in a wide range of subjects that cover both foundational and advanced concepts in data science. Furthermore, the curriculum continues with additional semesters, providing comprehensive knowledge in various areas, including data mining, programming languages, machine learning, and more.
The last date to apply online for BCA in Data Science programme is July 5, 2023. Applicants should have successfully completed their grade 12th examinations with a minimum of 50% marks. The admission process includes a mandatory entrance test conducted by ICRI, followed by a final round of interviews for shortlisted candidates.
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ICRI invites applications for BCA in Data Science at Mumbai campus - The Financial Express
What VAERS Can and Cant Do, and How Anti-Vaccination Groups … – FactCheck.org
For decades, an unassuming government vaccine safety surveillance system has done its job, quickly flagging possible side effects and allowing scientists and regulators to investigate further.
But for nearly as long, the Vaccine Adverse Event Reporting System, or VAERS, has also been exploited by people opposed to vaccination. With a publicly searchable database, full of unverified reports of health problems that occurred sometime after vaccination, VAERS has proven irresistible to the anti-vaccination community, which often falsely claims the number of reported deaths or other issues is proof that vaccines are dangerous.
Thats despite the fact that the reports arent vetted for accuracy and dont mean that a vaccine caused a particular problem.
VAERS is anearly warning systemused to identify potential safety concerns after a vaccine has been authorized or approved in the U.S. Its oftendescribedas a frontline system, since its frequently the first vaccine safety system to detect a problem. But its also noisy and prone to distortion.
Most of the anti-vaccine stuff that you hear, when they start to talk about how vaccines caused whatever, theyll point to VAERS data, Dr.Paul A. Offit, a vaccine expert at Childrens Hospital of Philadelphia, told us. It is just manna from heaven to get bad information out there.
While VAERS distortions were already a staple of vaccine misinformation prior to the pandemic, misuse of VAERS exploded with the arrival of the COVID-19 vaccines in late 2020. At FactCheck.org, weve writtenstory after storydebunking false or misleading claims about the COVID-19 vaccines that were based on misunderstandings about VAERS and so have ourfellow fact-checkers.
And now, one of the most notorious abusers of VAERS data is running for president. Robert F. Kennedy Jr., the nephew of assassinated President John F. Kennedy and aprominent anti-vaccine advocate,announcedhis campaign challenging President Joe Biden in April. (Kennedy has stated that he is for safer vaccines andis notanti-vaccine, but many of his arguments against vaccination are inaccurate or misleading and typical of the movement.)
In 2016, Kennedyfoundeda group that would become Childrens Health Defense, a nonprofit that traffics in anti-vaccine misinformation and disinformation.Hundreds of storieson Kennedys website mention VAERS.
Given the misuse and confusion around VAERS,a research team at the University of Pennsylvanias Annenberg Public Policy Center led byAPPC DirectorKathleen Hall Jamieson and in partnership with Critica Science has proposedrenamingVAERS Vaccination Safety Monitor or Vaccination Safety Watch. APPC is FactCheck.orgs parent organization.
Here, well explain how VAERS works and run throughfivemisconceptions that anti-vaccination activists wield to mislead people about vaccines.
As weve explainedbefore, vaccines given to the public have already been tested in clinical trials, but those trials can only be so big and arent expected to be able to identify rare side effects. Thats where VAERS and other post-marketing safety surveillance systems come in.
VAERS, which began in 1990 and is co-run by the Centers for Disease Control and Prevention and the Food and Drug Administration, collects reports of health problems that occur after vaccination. Anyone can submit a report, regardless of whether its likely the vaccine caused the event.
The CDC and FDA then review the reports in a variety of ways, and further investigate any possible safety concerns.
VAERS is designed to detect unusual or unexpected patterns, Dr. Tom Shimabukuro, director of the CDCs Immunization Safety Office, told us in an interview. Its really about pattern recognition.
Key strengths of VAERS are its large size and speed. Because VAERS reports draw from across the country, even a very rare event can be quickly identified as a possible side effect.
Most famously, VAERS was thefirst system to raise concernsabout a link between intussusception, a type of intestinal blockage, and RotaShield, the first rotavirus vaccine. In June 1999, just nine months after approval,10 reportsof intussusception had been reported to VAERS in infants who had received the RotaShield vaccine. This triggered further study of the issue and led CDC to temporarily suspend the shot the following month. The manufacturer recalled the vaccine a few months later, after other studies confirmed the safety signal.
Susan S. Ellenberg, a biostatistician at the University of Pennsylvanias Perelman School of Medicine, told us the RotaShield example is the poster child for how VAERS can work.
VAERS has successfully flagged other safety concerns, including inflammation of the heart and surrounding tissue, known as myocarditis and pericarditis, which are the primary serious side effects of the mRNA COVID-19 vaccines. The conditions arerareafter vaccination and are most frequent in young males after a second dose.
The system isalso usedto monitor the safety of different vaccine lots and to identify risk factors for developing certain vaccine side effects. VAERS data, for example,contributed to the decisionto advise people with a severe immunodeficiency to avoid the RotaTeq and Rotarix rotavirus vaccines.
VAERS is unique in having its data available for anyone to access. In the early years, people had to file Freedom of Information Act requests to access the data. But in 2001, in the spirit of transparency, the agency posted the data online for download, a CDC spokesperson told us. In 2006, the data became searchable in an online tool.
Many of the features of VAERS, however, also make it susceptible to bad actors.
The minute it was created, you could have argued that this was going to be misused, or at least misunderstood, because youre asking people to understand the difference between causality and coincidence, Offit said.
Ellenberg, who oversaw VAERS at FDA between 1993 and 2004, told us the systems data was misused from the very beginning. She recalled one effort by the National Vaccine Information Center, a prominent anti-vaccination group, to use VAERS data to claim that certain vaccine lots, or what it called hot lots, were dangerous.
They would look at VAERS and find vaccine lots that had the most reports associated with them and put them out there as those were potentially more toxic, she said. What the truth is, is that vaccine lots are variable sizes and its completely normal for a vaccine lot with 100,000 doses to have more VAERS reports than one with 3,000. Lot sizes are proprietary information and therefore are not publicly available.
As PolitiFact hasreported, the National Vaccine Information Center created its own VAERS search tool in 2003 that has become a favorite of anti-vaccination activists, fueling VAERS-based misinformation.
Federal officials have attempted to explain the limitations of VAERS and to discourage misinterpretations of the data, bothindisclaimerson the website and in multiple academic articles.
As early as 1997, Ellenbergexplainedin a journal article that the way VAERS is designed, sensitivity takes precedence over specificity; reporting of all serious events following vaccination is encouraged, inevitably resulting in large numbers of reports that do not represent vaccine-induced problems.
VAERS data must be interpreted with caution due to the inherent limitations of passive surveillance, Shimabukuro and colleagues wrote in a 2015articlepublished in Vaccine, noting that VAERS is primarily a safety signal detection and hypothesis generating system.
VAERS data interpreted alone or out of context can lead to erroneous conclusions about cause and effect as well as the risk of adverse events occurring following vaccination, they added.
Claims involving VAERS have nevertheless figured prominently in anti-vaccine efforts to reduce the reach of a variety of vaccines,includingthe measles, mumps and rubella, and human papillomavirus vaccines.
With the COVID-19 vaccines, Ellenberg said the problem became substantially worse. Offit agreed that claims have dramatically increased. And anti-vaccine activists are using the tactics honed during the pandemic to apply them once again toother vaccines.
Perhaps the biggest misunderstanding about VAERSis that the health issues described in the reportsarenot necessarily caused by the vaccine andare oftenpurely coincidental.
Reports in VAERS simply represent something that happened after you got a vaccine. They dont tell you the vaccine caused this, Ellenberg said.
In some cases, it may be reasonable to assume the vaccine was the cause, such as some swelling on an arm just after a shot. But usually, Shimabukuro said, the information provided in a report isnt enough to know whether a health problem was caused by a vaccine.
Vaccines protect against a particular thing, a particular disease. They dont protect against everything bad that might ever happen to you, Ellenberg said. And so its inevitable that bad things will occur by chance right after a vaccine, even when they have nothing to do with the vaccine.
People areencouragedto file a report for any significant health problem even if they dont think a vaccine was the cause. Health care workers and vaccine manufacturers are also required to file certain reports, also regardless of the level of suspicion of a vaccine.
And yet, the internet islitteredwithexamplesof people incorrectly presenting VAERS reports as events caused by vaccines. Sometimes the health problems are explicitly and inaccurately called side effects or labeledvaccine-caused. (Side effects, which are also known as adverse reactions, areconsidered to becaused by a shot.) Posts will also assume causality,for example, when citing VAERS data to give a supposed number of COVID vaccine deaths.
Some posts correctly note that VAERS reports may not have been caused by vaccines, but still mislead by calling the reports vaccine injuries or suggesting they are indicative of an important health concern.
Part of the issue, Offit said, is the terminology, including the name of the Vaccine Adverse Event Reporting System. In scientific parlance, the term adverse eventdoes notimply a causal connection. It simply means the event occurred after vaccination, so theres a temporal association that could very well be coincidental. To most of the public, though, that nuance is lost.
Its mere name gives it the imprimatur of a causal association and thats not what it is, Offit said of VAERS. Its misnamed.
On top of that, people often incorrectly assume that the reports must be true because they are in a government database.
But as the VAERS websiteexplains in a disclaimer, reports may contain information that is incomplete, inaccurate, coincidental, or unverifiable. Reports are not vetted before being included in the database.
In a now classic example, Dr. James R. Laidler, an anesthesiologist and autism advocate,said hefiled a reportin VAERS in the early 2000sthat claimed an influenza vaccine had turned me into The Hulk. The report went into the database and was removed only after someone from VAERS contacted him, and after a discussion, asked if it could be deleted.
If I had not agreed, the record would be there still, Laidler wrote in a 2005blog post, showing that any claim can become part of the database, no matter how outrageous or improbable.
Thats not to say that most VAERS reports are made-up. As wevewritten, the number of obviously false hoax reports is below 1%, and its illegal to file a false claim. But its not always clear when a report is fraudulent, and research has shown thatlitigation even related to health issues that scientists know are not caused by vaccines can drive up reporting.
People opposed to vaccinesoften focuson VAERS to the exclusion of other vaccine safety systems ignoring the fact that some of those systems are used to determine whether a possible safety signal from VAERS is indeed a problem.
As Dr.David Gorski, an editor of the blog Science-Based Medicine who has been debunking claims about vaccines for more than a decade,observedon Twitter, the reason these activists fetishize #VAERS as the definitive be-all and end-all of vaccine safety databases is because it is so easily distorted and weaponized.
VAERS at its best is a hypothesis-generating system, Offit said. Its all about signal detection its not meant to be the final word on vaccine safety. And it doesnt work in a vacuum.
Its important for people to know that VAERS is one of many complementary systems that CDC and FDA and other federal partners use to monitor vaccine safety, Shimabukuro said.
Statistical methods are used to analyze VAERS reports to quickly pick up on any unusual patterns. If a possible safety signal is found in VAERS, further analysis is performed with other safety systems, such as the CDCs Vaccine Safety Datalink (VSD) and Clinical Immunization Safety Assessment (CISA) Project, or in the FDA BEST (Biologics Effectiveness and Safety) system, the VAERS disclaimerexplains. These systems are less impacted by the limitations of spontaneous and voluntary reporting in VAERS and can better assess possible links between vaccination and adverse events.
Indeed, while VAERS is a passive system, relying on people to submit reports, several of these systems areactive, meaning they automatically collect information at regular intervals. And unlike VAERS, some of these systems offer a way of comparing outcomes to a control group.
TheVaccine Safety Datalink, for example, draws on electronic health records from across the country and contains information about which vaccinations were given and when. The data are updated every week, and can be used to compare the rates of possible side effects in people who received a particular vaccine with a similar group of people who were not vaccinated.
The CDC and FDA use several quantitative methods to probe VAERS data for possible safety signals. This includesdisproportionality analysis, which essentially checks to see whether the adverse events reported for one vaccine are significantly different from those reported for other vaccines, which could be indicative of a problem.
Ellenberg likens these approaches to looking for a needle in a haystack. What these methods do is pull out clumps and then you look for needles in the clumps. After further investigation, she said, most of them will turn out to be nothing.
Because the number of administered doses was known, regulators also performed an observed versus expected analysis for the COVID-19 vaccines, Shimabukuro said. If the observed rate approaches or exceeds the expected rate, he said, that may be evidence of a potential safety problem that might require further investigation.
Agency physiciansalso do a lot of case reviewto investigate possible problems.
Importantly, this slicing and dicing of VAERS data can only point to a possible issue its not confirmation of one.
Just because you exceed a statistical threshold does not mean you have evidence of an increased risk or evidence of a causal association, Shimabukuro said, adding that such data mining findings are not necessarily safety signals. There can be other reasons for these findings or they can be spurious findings or in some cases, they can be things that we expect to find.
VAERS, therefore, must be viewed in the larger context of how safety signals are identified. Insisting that only VAERS has the right answers is illogical and fundamentally misconstrues how vaccine safety surveillance works.
Much of the misinformation about the COVID-19 vaccines using VAERS has focused on improper comparisons between vaccines.Claimafterclaimalleges that because so many more VAERS reports have been filed for the COVID-19 vaccines than for other vaccines, it must mean that they are dangerous.
This line of argument, however, is faulty. As wevepreviouslywritten, there are several reasons why reporting to VAERS increased for the COVID-19 vaccines and it doesnt mean that the vaccines arent safe.
To start, a large number of COVID-19 vaccines were given out in a relatively short period of time, with more doses and priority given to older and more medically vulnerable people. The VAERS reporting requirements are also higher for the COVID-19 vaccines. Health care providers, for example, arerequiredby law to report any vaccine administration error, any serious adverse event following vaccination, and any COVID-19 case that results in hospitalization or death. With other vaccines, providers areonly requiredto report select adverse events. And the incredible amount of publicity and scrutiny of the new vaccines is arguably unprecedented in modern history.
You really cant compare what happened during COVID to whats happened with other vaccines in the past, Shimabukuro said.
The closest example, he said, is the rollout of an influenza vaccine during the H1N1 pandemic in 2009. With that vaccine, he added, there was also a large increase in the number of reports to VAERS, and public awareness was nowhere near what it is for COVID-19.
Shimabukuro noted that the phenomenon of a spike in reporting with a new vaccine, known as theWeber effect,iswelldocumented.
And he added, the COVID-19 vaccines have been following the expected trajectory of the Weber effect quite closely, with very high reporting early on, followed by a peak and then a drop-off to a somewhat normalized level.
The trend is very similar to what we see for other vaccines other new vaccines, other pandemic vaccines, Shimabukuro said, with the extreme attention on the COVID-19 pandemic accentuating that overall trend.
How are regulators so confident that the increased reporting in VAERS isnt a safety concern? Because all of the data including from VAERS, but also from all the other systems consistently show that the COVID-19 vaccines have a good safety record.
Its data from multiple systems in the United States and data from other systems in other countries in Europe and in Canada and Israel, and really all over the globe, Shimabukuro said.
Despite all the claims about COVID-19 vaccine-related deaths, VAERS datado notsuggest that the vaccines increase mortality.
Of the COVID-19 vaccines ever offered in the U.S., only the Johnson & Johnson vaccine has been causally linked to thrombosis with thrombocytopenia syndrome, or TTS, which can be fatal. TTS is a blood clotting condition combined with low blood platelets and is extremely rare. Six reports of the condition to VAERS led regulators to temporarily suspend the use of the J&J vaccine in April 2021. Through May 2023, monitoring has identified nine deaths from TTS that are considered to be due to the vaccine. The J&J vaccine is no longer available in the U.S., after the last doses expired in May.
There is no hiding in the world of vaccines when you vaccinate hundreds of thousands and then millions and tens of millions of people, Offit said. If a vaccine is truly responsible for a serious side effect, he said, it will be apparent.
Another common anti-vaccine talking pointis that because people voluntarily report to VAERS, it invariably is an undercount of vaccine harms. Vaccine opponents often try to calculate how much underreporting exists and multiply the number of reports by certain factors to arrive at the real number of vaccine side effects.
But this approach is flawed. Its true that by design, VAERS cant capture every side effect that is due to a vaccine. But its also the case that many of the health problems in VAERS arent caused by a vaccine.
Theres underreporting and theres overreporting, Ellenberg said, referring to both scenarios.
The suspected adverse events are underreported. I think thats probably true. But the keyword there issuspected theyre not necessarily true, truly caused by vaccines, Offit said, adding that thats expected with a passive system. Thats precisely why other, active vaccine safety systems are also used to monitor vaccines.
And theres no simple way of determining how much underreporting exists. Anti-vaccine groupscommonlycitea2010reportfrom Harvard Pilgrim Health Care that stated fewer than 1% of vaccine adverse events are reported.
But Dr.Michael Klompas, a public health surveillance researcher at Harvard Medical School and one of the authors of the report, told us in an email that the 1% number takes into account that many adverse effects of vaccines are mild and expected so not worth reporting (sore arm, fatigue, local redness, etc.).
Other researchers have attempted to estimate whats called the reporting efficiency, or reporting sensitivity, of certain adverse events in VAERS, generally finding that the system more completely collects serious adverse events than mild ones.
An early effort in 1995, for example,foundthat VAERS detected 68% of vaccine-associated polio cases following the oral polio vaccine, but less than 1% of rashes after the MMR vaccine. (The oral polio vaccine has since beenreplacedin the U.S. with an injected vaccine that cannot give people the disease.)
Otherworkhas found that for anaphylaxis, a potentially life-threatening allergic reaction that occurs rarely with any vaccine, VAERS captured anywhere from 13% to 76% of cases, depending on the vaccine.Anotherstudy estimated that VAERS caught 47% of cases of intussusception after the RotaShield vaccine.
But as that paper noted, Although the reporting completeness of VAERS has been evaluated for some specific vaccine-event associations, this information cannot be generalized.
The magnitude of underreporting varies widely, depending upon factors such as the severity of the event, proximity in time of the event to vaccination, and preexisting awareness on the possible association of the event to the vaccine, it reads.
While underreporting is a legitimate limitation of VAERS, the system is not intended to capture everything. And applying ad hoc estimates for underreporting, particularly to all adverse events, or for adverse events that have not been linked to vaccination, is scientifically unsound and misleading.
Finally, another misconception is the incorrect notion that all reports in VAERS are serious.Again, part of this hinges on the use of technical language. Adverse event sounds serious to many people, but it includes minor incidents, such as a sore arm.
Less than10% to 15%of U.S. reports in VAERS are considered serious a regulatory term thatmeansthe event was life-threatening or involved hospitalization, prolonged hospitalization if someone was already hospitalized, persistent disability, a birth defect, death, or required medical attention to prevent one of these outcomes.
The CDC requests follow-up information for all serious reports, which, like their non-serious counterparts, may be entirely coincidental. As the CDCexplains, while serious events happen after vaccination, they are rarely caused by the vaccine.
The non-serious and serious classification isnt perfect. Some degree of misclassification is inherent, a 2004reviewby government scientists explains, noting that injection site reactions typically are not of great clinical significance but may be classified as serious if they result in a brief hospitalization. On the other hand, something likeBells palsy, a usually temporary facial paralysis, is medically important, but may not be classified as serious because it involves outpatient care.
Still, its clear that many of the health issues reported to VAERS which again, are not necessarily caused by vaccines are relatively minor, and peoplewho like to highlight the sheer number of reportsto suggest vaccines are dangerous are not being fully transparent.
For all of its limitations and susceptibility to distortion, experts generally told us they thought VAERS served an important role.
Ellenberg, for example, said she thought VAERS could be the fastest way to identify a vaccine safety problem.
Offit, however, was less sure of its utility.
I would argue that because its so massively misused and massively misunderstood, which has caused a lot of people to choose not to get a vaccine, he said, I think it has done far more harm than good.
Still, he doesnt think VAERS should go away. Rather, he thinks VAERS should not be made publicly available. That would limit the misinformation, but still allow the system to do its job.
Putting the genie back in the bottle, though, may be impossible. And for now, the CDC doesnt agree.
We understand that there is the potential for misuse and misrepresentation of VAERS data, Shimabukuro said. However, we think the benefits of being transparent and providing these data as a public service outweigh the potential harms.
Editors note: SciChecks articles providing accurate health information and correcting health misinformation are made possible by a grant from the Robert Wood Johnson Foundation. The foundation has no control over FactCheck.orgs editorial decisions, and the views expressed in our articles do not necessarily reflect the views of the foundation.
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What VAERS Can and Cant Do, and How Anti-Vaccination Groups ... - FactCheck.org
Using data to drive better outcomes – Business News
MANY business leaders and their staff are rapidly getting up to speed on environmental, social and governance standards and principles (ESG).
However, there is a risk that, given the myriad reporting frameworks, companies could focus too much on the short-term report cards and miss the opportunity for more nuanced and efficient strategies that provide meaningful and long-term impact.
So amid this exploration of the different approaches to address ESG challenges, there is a great opportunity to leverage big data particularly human movement data with predictive intelligence and on-the-ground insights to shape more nuanced ESG strategies.
As humans, we consume, engage and generate vast volumes of data through a host of sensors and devices.
From the daily internet use of more than 2.5 quintillion bytes of data, to over 100 billion messages sent daily on WhatsApp through to the more than 1 billion daily credit card transactions daily, we are in a world of big data.
It must be acknowledged that this concept of big data in the hands of artificial intelligence and boards and executives may please shareholders but could also lead to community concerns.
So, if we cant necessarily put the genie back in the bottle, is there an opportunity with transparency, oversight and ethics to utilise big data for good rather than it being the equivalent of a big polluter on society?
Lets take the burgeoning investment and activity in Western Australia for renewables and natural resources.
For brownfield projects in transition or new greenfields proposals, analysing and comparing commuting patterns and preferences for workforces and supply chains can help companies design and optimise site locations.
Then theres support for downstream infrastructure to reduce greenhouse gas emissions from transportation and deliver production efficiencies.
In other words, if there is a more efficient way of you getting to, from and around work, going to the shops or to your local club, its good for you and the environment.
Similarly, through greater insights on behaviours across energy consumption and the relationship to the built and environmental infrastructure, there are opportunities to design and invest in more energy-efficient villages that reduce energy demand and the carbon footprint of the operations.
When we look at human movement data from the last three years with the impact of COVID, we have rich and unique insights on how people and businesses have changed the way they consume, engage and live.
This has brought into focus and expedited buy-local and sustainable behaviours that are central to an effective ESG strategy.
Through analysing human movement data and economic data, companies can better gauge the social and economic impact of their operations and workforces on local businesses, sporting clubs and childcare facilities, among others.
Not only can this help target necessary investment and support to build the capacity of communities, but it can also provide greater transparency and accountability on the impact of operations.
The safety and wellbeing of people within the workplace and community often hits the headlines and is subject to governance reviews or public scrutiny.
In recent years, companies investment in workforce strategies, training and support or designing workplace and associated infrastructure have been fast-tracked to remedy the shortfalls of previous decades and meet the expectations of community and shareholders.
While well intended, without understanding human behaviours and how they evolve such as the movement of people on site that identify or forecast at-risk practices relating to work safety, or where we design work camps without appropriate insights as to how people live and operate we run the risk of continued well-intended, yet patchwork responses.
As we explore the sixth wave of innovation (the first being the industrial revolution) that focuses on artificial intelligence, the internet of things and clean tech, no doubt there is fear and uncertainty in parts of the community, particularly given the behaviours of certain companies globally on privacy and data.
In reality, much of this data remains unstructured and unexplored, as companies are only beginning their journey on big data mining and refinement.
So, if handled ethically with appropriate oversight, these human movement breadcrumbs together with artificial intelligence and spatial modelling, can provide unique insights that can supercharge ESG strategies for companies and use the force for good.
James Curtis is chief executive of Element WA
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How To Earn Passive income Daily With HappyMiner Cloud Mining – Analytics Insight
Anyone can mine Bitcoin from the comfort of their home with the mobile cloud mining platform HappyMiner. To mine, it often necessitates the acquisition of expensive machinery. On the other hand, consumers can mine cryptocurrencies at home without investing in expensive equipment thanks to HappyMiners cloud mining service.
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With a leased-hash approach, you can lease hash power from a business that operates robust mining machinery and related facilities. Cloud-based bitcoin mining appears to be the bright future of digital currency. With reputable certified hash providers like HappyMiner, you can earn a consistent passive income in cryptocurrency. Profit is based on the contract type and investment amount. We sincerely hope you will choose a lucrative Bitcoin miner to rent using our in-depth HappyMiner review.
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How To Earn Passive income Daily With HappyMiner Cloud Mining - Analytics Insight
Big Data Analytics: The Key to Resolving Complex Business … – ReadWrite
Big data analytics is the complex process of examining large and diverse datasets to uncover hidden patterns, correlations, market trends, and customer preferences. It is a crucial tool for organizations to make informed business decisions and tackle complex problems. In this article, we will explore the significance of big data analytics, its applications, benefits, challenges, and its history and growth.
Just as you would want a trained physician to diagnose your health problems, you need experts in big data analytics to help solve complex business problems. Subject Matter Experts (SMEs) or Known Opinion Leaders (KOLs) who have proven success in your industry can apply AI and analytics methods to develop a roadmap and lead your organization to success.
Big data analytics is a form of advanced analytics, which involves complex applications with elements such as predictive models, statistical algorithms, and what-if analyses powered by analytics systems. It differs from traditional business intelligence (BI) queries, which answer basic questions about business operations and performance.
The big data analytics process consists of four main steps:
Many different types of tools and technologies are used to support big data analytics processes. Some common technologies and tools include:
Big data analytics applications often include data from both internal systems and external sources, such as weather data or demographic data on consumers compiled by third-party information service providers. Streaming analytics applications are also becoming common in big data environments, as users perform real-time analytics on data fed into Hadoop systems through stream processing engines like Spark, Flink, and Storm.
Big data analytics has been embraced by a diverse range of industries as a key technology driving digital transformation. Users include retailers, financial services firms, insurers, healthcare organizations, manufacturers, energy companies, and other enterprises. Some examples of how big data analytics can be applied in these industries include:
The benefits of using big data analytics services include:
Despite the many benefits that come with using big data analytics, its use also presents challenges:
The term big data was first used to refer to increasing data volumes in the mid-1990s. In 2001, Doug Laney expanded the definition of big data by describing the increasing volume, variety, and velocity of generated and used data. These three factors became known as the 3Vs of big data. As per recent study most of the routine and daily based task will be automated in 2030.
The launch of the Hadoop distributed processing framework in 2006 was another significant development in the history of big data. Hadoop, an Apache open-source project, laid the foundation for a clustered platform built on top of commodity hardware that could run big data applications.
By 2011, big data analytics began to take a firm hold in organizations and the public eye, along with Hadoop and various related big data technologies. Initially, big data applications were primarily used by large internet and e-commerce companies such as Yahoo, Google, and Facebook, as well as analytics and marketing services providers. More recently, a broader variety of users have embraced big data analytics as a key technology driving digital transformation.
Big data analytics plays a crucial role in addressing complex business problems and helping organizations make informed decisions. Its applications, benefits, and growth have made it an indispensable tool in various industries. By understanding the challenges and choosing the right technologies and tools, organizations can harness the power of big data analytics to drive success and remain competitive in the marketplace.
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Big Data Analytics: The Key to Resolving Complex Business ... - ReadWrite
A Dirty Job That Few Want: Mining Companies Struggle to Hire for the Energy Transition – The Wall Street Journal
Lily Dickson was hurrying across the University of Leeds campus when a student campaigner handed her a flier that called for a ban on campus recruiting by mining and oil-and-gas companies.
The 24-year old doctoral student in geology was taken aback. She had recently returned from a trip to Finland, having worked with Vancouver-based miner Mawson Gold, exploring new places to mine cobalt in Europe.
The ban wasnt an empty threat or an isolated incident. Last year, four U.K. universitiesbut not Leedsbanned mining firms from recruiting on campus and attending careers fairs, part of a broader trend of college graduates and young workers turning their backs on extractive industries that they fear harm the planet.
Companies that mine copper, lithium and other metalsviewed as a critical part of the supply chain to produce green energysay they are struggling to find enoughyoung workers to support the transition.Most mining companies in the U.S., Australia and Europe say their expansion and growth plans could come under pressure if current hiring trends continue, especially for high-skilled roles such as engineers, exploration geologists and data analysts.
Changing societal expectations place pressure on our brand as an employer, and require us to become better at communicating who we are and what we stand for, said Rio Tinto in its latest annual report.
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Despite their part in the energy transition, mining companies face a perception of being in a dirty industry thanks to a legacy of mining disasters and accusations of worker exploitation and sexual assault. It is among the worst ranked professions for young people to enter: A global survey by consulting firm McKinsey found 70% of its 15- to 30-year-old respondents said that they definitely wouldnt or probably wouldnt work in mining.
In the U.S., the number of 2020 geology and earth-sciences graduates was nearly 25% less than in 2015, according to the U.S. National Center for Education Statistics. During that period, the total number of students graduating overall increased 8%.
Canada and Australia, countries where mining is a significant economic contributor, also saw student enrollment to related courses drop. In Australia, the total number of mining graduates fell 63% in 2020 from 2014, according to McKinsey. Canadas mining and mineral-engineering enrollment was down 10% in 2020 compared with 2016, according to Canadas Mining Industry Human Resources Council.
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The declines are raising concerns of a future knowledge gap that could affect extraction as companies are having to mine deposits with lower density of metals.
People have left before, but now we dont have the talent pipeline coming in, and we are also losing experience through retirees, said Alex Gorman, mining research analyst at Peel Hunt.
More than half the mine workers in the U.S. are aged 45 years or older, according to Rohitesh Dhawan, chief executive of industry group, International Council on Mining and Metals. The people we have in the industry now are typically older and closer to retirement, he said, adding that the recruiting challenges means the industry is being squeezed on both sides.
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According to a McKinsey survey, 86% of industry leaders found recruiting and retaining the talent they needed harder. And, nearly three-quarters of those executives said the talent shortage is holding them back from delivering on production targets and strategic objectives. Rio Tinto has warned the shortfall could mean business delays or underperformance.
In the U.S., the job vacancy rate for mining and logging was 5.1% in March, up from 3.6% five years ago, according to Bureau of Labor Statistics data. Canadas mining job vacancy rates have been trending upward since 2015 to a peak last summer of around 4% in mining and quarrying jobs and slightly over 6% for mining support activities. Likewise, in Australia, mining vacancies rose to 10,600 jobs in February, up from 2,500 in May 2016, the lowest level since 2009, according to the Australian Bureau of Statistics.
The sector also struggles to attract women. Mining is among the few industries that continue to be male dominated and has a reputation as being unsafe for women. Rio Tinto found 28% of women working in mining experienced sexual harassment while 21 women reported cases of actual or attempted rape or sexual assault in the past five years, according to a 2022 report based on its survey of 10,000 employees.
It can be intimidating being the only woman in the room, said mining analyst Gorman, who also worked in copper mining projects in Botswana earlier in her career. Its hard to have a family and be a geologist on site, she said.
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An EY study last year found that women made up 12% of the global mining and metals workforce, a gender imbalance second only to the construction sector. The lack of women in leadership positions also is proving to be a hurdle when it comes to attracting a younger, diverse workforce.
Mining companies also face accusations of exploitation of local workforces.
There is normally not enough responsibility taken, especially with regard to sub-Saharan Africa in terms of exploitation of countries, said Haydon Mort, CEO of Geologize Ltd., a communications firm that helps mining companies with their public image.
The current recruitment challenge is built upon the perception that mining companies didnt take ownership of previous disasters and accusations of exploitation of local workforces are contributing to the bad reputation, experts say.
Companies are taking steps to counter the perception and hiring challenges. Miners are expanding their recruiting to include business and data-science majors. They also are hiring closer to mining locations where potential recruits are more familiar with the companies.
Rio Tinto saw a 30% uptick in the number of enrollments into its graduate-trainee program globally last year. This was our biggest cohort to date with 265 graduate roles, a spokesman for the company said, adding that it was hoping to recruit 300 college graduates this year.
BHP expects to hire 3,500 people through a new program recruiting apprentices and trainees rather than just college graduates.
Job-focused nonprofits also are jumping into the fray, eager to help build a talent pipeline for what they see as a fast-growing industry.
Women in Mining U.K., a nonprofit group, is working with schools to introduce more courses related to environmental and geological sciences into the U.K. curriculum, especially for those aged between 8 and 13. Everyone learns a bit of geology when they learn about volcanoes and this can be complimented further, said Stacy Hope, managing director of the group.
Hope also is aiming to introduce internships and scholarships to build a career path for young women interested in the field. She hopes that younger workers will help mining companies evolve, taking on more social responsibility and improving their mining practices.
Recruiting closer to the mines worked for Codelco, the state-owned copper mining company in Chile. In a recent survey, Codelco was the company that Chilean college graduates most wanted to work for, despite the recent disciplinary action from the environmental regulator. Other companies in the top 10 included Nestl and Walmart, according to Merco, a rankings agency.
Egyptian gold miner Centamin is also hiring more local labor than expatriates from Europe and Australia. Recruiting workers from within Africa keeps them relatively local and brings people with relevant knowledge from places such as Congo, Ghana and Zimbabwe that have more recent experience of mining compared with places like Europe, said Martin Horgan, CEO of Centamin.
Mort of Geologize said social-media apps such as Instagram are also a good tool to reach young people, but notes that the industry also needs to take ownership of previous issues such as environmental degradation.
You need authenticity, he said. Be transparent about the environmental impact and community of what you are doing.
However, not everyone agrees that mining is essential to the energy transition.
A certain amount of mining is necessary but the current profit-driven industry is responsible for wide-scale environmental and ecological devastation as well as countless acts of human rights abuses, said Jamie Kelsey Fry, a spokesman for U.K.-based environmental pressure group Extinction Rebellion.
Dickson was one of eight women in her 25-strong mining geology masters course last year. Most of her classmates have taken up jobs in the industry. She is continuing her studies, but she does plan to work in the industry eventually.
For Dickson, mining offers the chance to travel, work outdoors and research into sustainability, along with feeding her fascination with how the world works. As soon as you realize mining is essential, the most important thing is to get involved, said Dickson. Its excitingworking on things like a European source of cobalt, thats something which could actually be beneficial to society.
Write to Yusuf Khan at yusuf.khan@wsj.com
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The Concept of Predictive Modelling – CIOReview
The use of computer software for predictive modeling has become increasingly popular as the process has become more complex and data quality efforts have increased exponentially.
In recent years, digital products and services have created more data than we've ever seen before. Consequently, more organizations are using big data analytics to derive value from their data.
What is predictive modeling?
Predictive analysis uses historical or real-time data to predict future events or outcomes. Forecasting sales, understanding customer behavior, and reducing market risks are some of the reasons businesses use predictive modeling. In addition to predicting future events, it determines what historical events are likely to occur again.
Data mining technologies are frequently used in predictive modeling solutions to analyze large data sets. As part of predictive modeling, data is collected, statistical analysis is performed, predictions are made, and the model is validated or revised. In the case of additional input data, these processes are repeated.
Benefits of predictive modelling
Predictive modeling reduces the time, effort, and resources needed to forecast business outcomes. Predictive modeling has the following top benefits:
An organization can use a predictive model to predict cyberattacks, fraudulent transactions, and other types of risks.
Marketing campaigns can be optimized by using predictive modeling to uncover customer insights.
Predictive modeling can be used to forecast inventory, create pricing strategies, and predict sales revenue.
Predictive modeling can help an organization prioritize resources in several ways. Getting lists of expected leads to convert allows sales teams to devote more time and effort to these high-priority leads.
How to build a predictive model
A variety of predictive modeling techniques are available. Neural networks and regression are two of the most prevalent techniques. As a statistical concept, regression describes the relationship between inputs and outputs. Depending on the variables, the predictive model could be linear or nonlinear.
An interconnected network of nodes in a hierarchical structure is the basis of neural networks, a predictive modeling tool based on the human brain. By establishing patterns and relationships between variables, future trends can be predicted. Aside from these two most popular predictive modeling techniques, businesses also use clustering, outliers, and classification models.
Data analytics teams traditionally handled predictive modeling manually. The use of computer software for predictive modeling has become increasingly popular as the process has become more complex and data quality efforts have increased exponentially. Because of this, most organizations use predictive modeling tools such as Oracle Crystal Ball, RapidMiner Studio, and SAP Predictive Analytics.
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Scientists identify over 5000 new species at future deep-sea mining … – Bulletin of the Atomic Scientists
Editors note: This story was originally published by The Guardian. It appears here as part of theClimate Deskcollaboration.
Scientists have discovered more than 5,000 new species living on the seabed in an untouched area of the Pacific Ocean that has been identified as a future hotspot for deep-sea mining, according to a review of the environmental surveys done in the area.
It is the first time the previously unknown biodiversity of the Clarion-Clipperton Zone (CCZ), a mineral-rich area of the ocean floor that spans 1.7m sq miles between Hawaii and Mexico in the Pacific, has been comprehensively documented. The research will be critical to assessing the risk of extinction of the species, given contracts for deep-sea mining in the near-pristine area appear imminent.
Most of the animals identified by researchers exploring the zone are new to science, and almost all are unique to the region: only six, including a carnivorous sponge and a sea cucumber, have been seen elsewhere.
Contracts for mining exploration in the CCZ have been granted to 17 deep-sea mining contractors in an area covering 745,000 sq miles. The companies, backed by countries including the UK, US and China, want to exploit minerals including cobalt, manganese and nickel, in part to sell to the alternative energy sector.
In July the International Seabed Authority, a quasi-UN body based in Jamaica that regulates deep-sea mining, will begin accepting exploitation applications from these companies.
To better understand the impact of mining this fragile ecosystem and its newly discovered inhabitants, an international team of scientists has built the first CCZ checklist by compiling all the records from expeditions to the region. Published in the journal Current Biology, it includes 5,578 different species, of which an estimated 88% to 92% had never before been seen.
We share this planet with all this amazing biodiversity and we have a responsibility to understand it and protect it, said Muriel Rabone, the papers lead author, a deep-sea ecologist at the Natural History Museum (NHM).
To study and collect specimens from the ocean floor, biologists have joined research cruises in the Pacific that send remote-controlled vehicles to traverse the seabed 4,000 to 6,000 metres below.
Dr Adrian Glover, deep-sea biologist at the NHM and senior author of the study,who has taken part in several expeditions to the CCZ, most recently on the UKs Smartex expedition, described it as an incredible privilege. The expedition, funded through the Natural Environment Research Council and others, is backed by UK Seabed Resources (UKSR), a deep-sea mining company that operates the UKs exploration area.The NHM has previously worked with UKSR and Deep Green, now the Metals Company, another mining firm, as a contractor in the area to provide baseline biodiversity data. It insists all data gathered is open-access in peer-reviewed literature.
The scientists watch operations by video link direct from the boat, as new species are gathered by remote operating vehicles in the darkness below.
The seabed, Glover said, is an amazing place where, despite the extreme cold and dark, life thrives. One of the characteristics of the abyssal plane is the lack of food, but life has a way of persisting down there, he said. Its a mystery.
One of the deep-sea animals discovered was nicknamed the gummy squirrel, because of its huge tail and jelly-like appearance, he said. There are also glass sponges, some of which look like vases. The most common categories of creatures in the CCZ are arthropods, worms, members of the spider family and echinoderms, which include spiny invertebrates such as sea urchins and sponges.
With approval for deep-sea mining looming, Glover said he believed it was imperative that we work with the companies looking to mine these resources to ensure any such activity is done in a way that limits its impact upon the natural world.
Asked about other scientists, including Sir David Attenborough, calling for moratorium on deep-sea mining because of the irreversible damage they say it will do to ecosystems, Glover said he believed his role was to inform.
Our role as scientists is not to decide if it can go ahead it is to provide the data, he said. Everyone who lives on this planet should be concerned about using it in a sustainable way. There is a big discussion on the horizon and it is incredibly important to engage the public to find out what path people want to pursue. You have regulators, the governments and the public, who will listen and read the information, the pros and cons.
In some ways I see it as very positive that we can come up with a regulatory structure before mining takes place. [In] other large industries, such as oil and gas, the regulations came later.
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Ethereum Miner Turns to Dogecoin: BIT Mining Dumps ETH After … – Crypto News Flash
In a surprising twist in the crypto-sphere, BIT Mining (BTCM), once a leading Ethereum miner, has altered its crypto treasury strategy drastically. Following Ethereums monumental transition from proof of work to proof of stake, the Ohio-based miner, listed on the New York Stock Exchange, has shifted its focus to Dogecoin and Litecoin.
The company reported a revenue of $72.9 million for the last quarter, marking a near 20% increase from the previous quarter but witnessing a 75% plunge year on year. BIT Minings revenue is primarily split across three sectors: mining cryptocurrencies independently, mining as part of a pool, and hosting services within its data centers.
In the previous quarter, BIT Minings revenue from its mining pool reached $60 million, accounting for 82% of its total income. Meanwhile, self-mining and data centers each contributed approximately $6 million.
Prior to Ethereums transformation in September last year, known as the Merge, Ethereum mining made up over three-quarters of BIT Minings self-mining revenue. This pivotal shift in Ethereums consensus mechanism, which eradicated the necessity for crypto miners, predictably plunged BIT Minings self-mining income from $7.1 million in Q3 2022 to a mere $1.9 million in the subsequent period.
As Ethereum mining waned, the firm garnered $6.2 million from mining cryptocurrencies in Q1 2023, predominantly Litecoin (LTC) and Dogecoin (DOGE), post the shutdown of certain Bitcoin mining rigs. Notably, Dogecoin and Litecoin witnessed skyrocketing hash rates around the time of the Merge, despite their differing hashing algorithms from Ethereum.
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Amid these changes, Analyst Mike Fay (via Seeking Alpha) has expressed bafflement over BIT Minings decision to sell off one-third of its Ethereum holdings, amounting to 1,602 ETH ($3 million at current prices). In contrast, the firm boosted its Dogecoin holdings by 62% quarter on quarter, escalating from 42.8 million DOGE ($3.1 million) to 69.5 million DOGE ($5 million). Its Bitcoin holdings remained steady at 289 BTC, worth $7.8 million.
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With this shift, BIT Minings crypto treasury was almost 28% Dogecoin at the end of Q1 2023. The companys total assets stood at $40.2 million, with liabilities amounting to $39 million, including lease obligations.
Fay argued against BIT Minings strategy, questioning why the firm would hold onto meme coins instead of leveraging Ethereums staking potential at virtually no cost. Despite rising Ethereum prices, BIT Minings decision has sparked speculation and criticism, further fueling the debate on effective digital asset management strategies.
Crypto News Flash does not endorse and is not responsible for or liable for any content, accuracy, quality, advertising, products, or other materials on this page. Readers should do their own research before taking any actions related to cryptocurrencies. Crypto News Flash is not responsible, directly or indirectly, for any damage or loss caused or alleged to be caused by or in connection with the use of or reliance on any content, goods, or services mentioned.
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Ethereum Miner Turns to Dogecoin: BIT Mining Dumps ETH After ... - Crypto News Flash
This Week on Crypto Twitter: White House Mining Tax Scrapped, Bukele Hires Bitcoin Expert – Decrypt
Illustration by Mitchell Preffer for Decrypt
Markets finally began to grow a little this week after four weeks of stagnation. There wasnt a whole lot of news to drive prices either way. In the U.S., regulators continued to hold the line on their assertion that existing rules are sufficient for the industry. Meanwhile, another domestic crypto exchangeGeminicontinued expanding offshore.
The most politically important tweet from Crypto Twitter this week came from Congressman Warren Davidson, who confirmed on Monday that the new U.S. debt ceiling agreement blocked an unpopular White House proposal for a 30% excise tax to be applied to crypto mining firms based on how much electricity they consume.
Also that day, Bitcoin NFT project Ordinals hit a new milestone.
On Tuesday, El Salvadors National Bitcoin Officean official institution set up to promulgate Bitcoin as legal tender in the countryannounced that the countrys authoritarian president Nayib Bukele had hired a new Bitcoin consultant.
Alex Svanevik, the CEO of blockchain data and research company Nansen, announced that the company was letting go of 30% of its staff in order to streamline the company. He also mentioned the bear market as a factor.
Blockchain gumshoe ZachXBT exposed a particularly callous scam on Thursday.
Imagine earning a million in twenty-four hours for doing nothing except opening your wallet. Well, it has already happened. Welcome to the blockchain.
Its easy to get worried about AI these days with so many tech industry leaders labeling it a potential extinction threat. OpenAI CEO Sam Altman offered a more mundane prediction about the advent of artificial general intelligence: maybe things will keep on keeping on.
NFT theft is declining but the Blur marketplace is becoming popular for stolen digital goods, according to PeckShieldAlert.
Messari analyst Ally Zach on Thursday did a deep dive on Solanas newest users and how the blockchain caters to consumer applications.
Finally, crypto wallet provider Atomic on Saturday warned that several wallets have been compromised. Crypto sleuth ZachXBT revealed the eye-watering amounts of crypto at stake.
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This Week on Crypto Twitter: White House Mining Tax Scrapped, Bukele Hires Bitcoin Expert - Decrypt