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Miners lag on diversity in leadership: Osler study finds more progress for women at the board and senior levels than Indigenous people and visible…

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Canadian mining has long struggled to enhance diversity at the board and senior leadership levels. But while the industry has consistently ranked near the bottom among industries in terms of the number and percentage of women in senior leadership roles, change is happening and a number of companies in the industry are taking steps to be more inclusive.

Lucara Diamond is one such company. In addition to being a mining company, Lucara is also a tech company. Its proprietary diamond sales platform, called Clara, is built on blockchain technology that uses computer algorithms to match its diamond production to buyer preferences.

The link between the diamonds and the technology is Lucaras president and CEO Eira Thomas. Thomas, a geologist and 25-year industry veteran, co-founded Lucara in 2008 and, a decade later, was developing Clara when Lucaras board recruited her to replace retiring CEO William Lamb and bought Clara in the process.

Lucara also stands out among mining companies because Thomas is a woman and three of its top six executives are female. In addition, three directors of Lucaras seven-memberboard are women. Thomas isnt the only woman CEO in Canadian mining, but they are nearly as rare as diamonds like the Sewel (one of the exceptional large diamonds mined at Lucaras Karowe mine in Botswana). According to data compiled for Oslers2021 Diversity Disclosure Practicesreport,of the Canadian public mining companies included in the data set,there are only six other CEOswho are women.

Canadas mining sectoris making modest gains in the number and percentage of female directors and women in senior executive positions (particularly on mining boards),but obstacles remain.

Attracting women to careers in mining and keeping them once they are there has long been an issue. The scope of this problem was highlighted in a 2016 industry action plan from Women in Mining Canada. It cited Mining Industry Human Resources Council (MiHR) figures that showed mining has a lower representation of women compared to the very same occupation in other industriesThis holds true whether the occupation is traditionally associated with a higheror lower representation of women.

These challenges might also help to explain, at least in part, why career profiles of women mining executives and directors suggest a significant proportion enter the field in senior roles directly from other professions, such as accounting, law or finance. Placements for these women tend to be among the mid-size and larger firms, where there is more of a focus on governance and a diverse matrix of skillsets among directors. The makeup of most junior mining boards, by comparison, skews more heavily to a tighter circle of geologists and mining engineers fields where women tend to be underrepresented.

The disparity in diversity levels between the boards of Canadian mining companies and other TSX-listed company boards is significant. Data compiled for Oslers2021 Diversity Disclosure Practicesreport shows that just 19% of directors at mining companies in 2021 were women (up from 18% in 2020), compared to 23% for TSX-listed companies as a whole and 33% at S&P/TSX 60 companies. On a per-board basis, the number of women directors was 1.45, versus 1.83 per board for TSX-listed companies overall and 3.72 for S&P/TSX 60 companies.

Although significant, there is less of a differential between the percentage of women executive officers in mining (15%) compared to TSX-listed companies (18%) and S&P/TSX 60 companies (22%).

Oslers survey data for directors does indicate a substantial overall improvement since 2015, the first full year after the diversity disclosure requirement was introduced. That year, only 7% of directors at mining companies were women. The rate of increase to 19% compares favourably to the improvement rate for all TSX-listed companies, where percentage representation rose to 23% in 2021 from 10% in 2015.

The story for women executive officers in the mining sector is also consistent with the trend for TSX-listed companies as a whole. Since 2015, change has been slow and representation remains low in absolute terms (11% in 2015, and 15% in 2021).

The story with respect to the representation of other diverse groups, including Indigenous peoples and visible minorities, is a mixed bag.

According to MiHRs2019 Canadian Mining Labour Market Outlook, the representation of Indigenous peoples in the workforce is substantially higher in Canadian mining (7%) compared to other industries (4%), and higher than their representation in Canadas population (5%). Data from Oslers2021 Diversity Disclosure Practicesreport found that among federally-incorporated public companies 0.5% of the board positions and virtually no executive officer positions were held by Indigenous peoples. However, although the absolute number of board seats held by Indigenous peoples overall is clearly very low, five of the eight such seats among disclosing companies were on the boards of mining companies. In common with other federally-incorporated public companies, mining companies had virtually no executive officers who are Indigenous.

The2019 Canadian Mining Labour Market Outlookreported that the representation of visible minorities in the workforce is substantially lower in Canadian mining (9%) compared to other industries (21%), and their representation in Canadas population (22%). Data from Oslers report found that among federally-incorporated public companies, 6.9% of the board positions were held by visible minorities and about 30% of such companies reported having at least one executive officer who is a visible minority. Among mining companies providing disclosure, the percentage for directors was lower at approximately 2.5%, while mining companies had only 14 executive officers who are visible minorities.

Women in Mining Canadas action plan offers a twofold prescription to boost female representation: Outward-focused action to fill the talent pipeline [and]inward-focused action that changes workplace cultures.

Oslers research has identified a number of Canadian mining companies that are consistent leaders in best practices to support such efforts. These include:

>Cameco diversity and inclusion training, featuring extensive online resources and other awareness initiatives via posters and displays

>Teck Resources promoting culture change with gender-neutral approach to job titles and descriptions, as well as family-friendly policies for mid-career women

>Kinross Gold strategic implementation of global written inclusion and diversity guidelines promoting a more inclusive workplace

>Lundin Mining has established a 14-person multi-disciplinary working group to further the corporations diversity and inclusion agenda. Resources and forums are being made available to enable uncomfortable conversations. The corporation has committed to continually evaluating the effectiveness of this program and to modify its approach to ensure it is keeping up with best practices.

>New Gold participates in the International Women in Mining mentoring program that provides mentoring opportunities for female staff across the organization and also provides female corporate employees with membership in Women in Mining Toronto.

>OceanaGoldadopted a monitoring program to track progress, and a project to identify and correct gender pay equity gaps.

Anumber of other initiatives have been launched in the Canadian mining industry in recent years to address the underrepresentation of women and encourage further progress in achieving gender parity. For example, MiHR established the Gender Equity in Mining Works (GEM Works) program that trains gender champions and change agents within organizations with a view to eliminating unintentional barriers to gender inclusion. The Mining Association of Canadas annual Women in Mining newsletter aims to raise the profile of women by highlighting the work being done by women in the sector. And organizations like Women in Mining Canada and Women Who Rock focus on mentorship and encouraging initiatives that promote professional development for women.

With respect to other diverse groups, Oslers research also identified some Canadian mining companies that are taking action to enhance Indigenous representation. For example, before it merged with Agnico Eagle, Kirkland Lake Gold had implemented cross-cultural training at its sites hoping to recruit more effectively and to build trusted and prosperous partnerships with Indigenous communities.

Looking ahead, the key to greater progress for Canadian mining companies overall looks to be replicating the gender practices and diversity performance of our largest miners at the mid-tier and junior levels and replicating them for the benefit of other underrepresented groupsat all levels.

Andrew MacDougall and John M. Valley are both partners, corporate at Osler.

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Data Warehousing Market 2022: focuses on companies, opportunities, market size, growth, revenue and forecast 2029 The Sabre – The Sabre

This market research report is a profound source to evaluate the This market and other basic details relating to it. The analysis discloses the complete appraisal and veritable pieces of the This market. The report shows a clear layout of the market segments, that fuses applications, outlines, industry chain structure, and definitions. Also, it consolidates an expansive speculation of the This market and addresses a huge precision, encounters, and industry-substantiated projections of the all-inclusive market data. The accurate figures and the graphical depiction of the This market are included in this This report.

We Have Recent Updates of Data Warehousing Market in SampleCopy@https://www.databridgemarketresearch.com/request-a-sample/?dbmr=global-data-warehousing-market&DP

Glob Market Reports offers an overarching research and analysis-based study on, GlobalData Warehousing MarketReport, History and Forecast 2022-2029, Breakdown Data by Companies, Key Regions, Types and Application. This report offers an insightful take on the drivers and restraints present in the market. Data Warehousing data reports also provide a 5 year pre-historic and forecast for the sector and include data on socio-economic data of global. Key stakeholders can consider statistics, tables & figures mentioned in this report for strategic planning which lead to success of the organization. It sheds light on strategic production, revenue, and consumption trends for players to improve sales and growth in the global Data Warehousing Market.

Statistical Overview Report 2022 gives an outstanding tool for market Survey, openings, and vital key and strategic basic leadership. This report perceives that in this quickly advancing and competitive scenario by up-coming data on the basis of research execution and settled on basic choices for development and benefit. It gives data on Latest trends and advancements and sheds light on various sectors, limitations and advancements, and on the evolving structure of the market. Some of the Major Key players profiled in the study are Actian Corporation, Amazon, Inc., Cloudera, Inc., Google, IBM Corporation, Microsoft, Oracle, SAP ERP, Snowflake Inc., Teradata, Hortonworks Inc., MapR Technologies, Inc., MarkLogic Corporation, and More

Data warehousing market will reach at an estimated value of USD 43.45 billion by 2028 and grow at a CAGR of 8.50% in the forecast period of 2021 to 2028.

Years Considered to Estimate the Market Size:

History Year: 2015-2022

Base Year: 2022

Estimated Year: 2022

Forecast Year: 2022-2029

The titled segments and sub-section of the market are illuminated below:

Data Warehousing Market Report Scope

By Type of Offering (Extraction, Transportation and Loading (ETL) Solutions, Statistical Analysis, Data Mining, Others),

Type of Data (Unstructured Data, Semi-structured & Structured Data),

Deployment (On- Premises, Cloud, Hybrid),

Organization Type (Small & Medium Sized Enterprises, Large Enterprise),

Industrial Vertical (BFSI, Telecom &IT, Government, Manufacturing, Retail, Healthcare, Media& Entertainment, Others),

Regions Covered in the Global Data Warehousing Market:

Key Players Mentioned in the Data Warehousing Market Research Report:

Ignite Technologies, Inc, Hewlett Packard Enterprise Development LP, Kognitio Ltd and Corning Incorporated among other

Global Data WarehousingResearch Methodology

Data Bridge Market Research presents a detailed picture of the market by way of study, synthesis, and summation of data from multiple sources.The data thus presented is comprehensive, reliable, and the result of extensive research, both primary and secondary. The analysts have presented the various facets of the market with a particular focus on identifying the key industry influencers.

What Report offers to the buyers?

For More Information with including full TOC:https://www.databridgemarketresearch.com/toc/?dbmr=global-data-warehousing-market&DP

Extracts from Table of Content:

Chapter 1: Market Overview, Drivers, Restraints and Opportunities, Segmentation overview

Chapter 2: Market Competition by Manufacturers

Chapter 3: Production by Regions

Chapter 4: Consumption by Regions

Chapter 5: Production, By Types, Revenue and Market share by Types

Chapter 6: Consumption, By Applications, Market share (%) and Growth Rate by Applications

Chapter 7: Complete profiling and analysis of Manufacturers

Chapter 8: Manufacturing cost analysis, Raw materials analysis, Region-wise manufacturing expenses.

Chapter 9: Industrial Chain, Sourcing Strategy and Downstream Buyers

Chapter 10: Marketing Strategy Analysis, Distributors/Traders

Chapter 11: Market Effect Factors Analysis

Chapter 12: Market Forecast

Chapter 13: Data Warehousing Research Findings and Conclusion, Appendix, methodology and data source.

Continued

Thanks for reading this article, you can also get individual chapter wise section or region wise report version like North America, Europe or Asia.

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Data Warehousing Market 2022-2029: Key Highlights

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The Software Stopping Misinformation on Russia’s War in Ukraine – Stockhouse

In line with this, the invasion of Ukraine by Russia has also led to increased cyberthreat fears, notably following an issue from the Cybersecurity and Infrastructure Security Agency (CISA) of a Shields Up” cyber warning. The agency said that while there were no specific threats linked to the US or North America, organizations should still be prepared to respond to any kind of cyber activity.

With that in mind, companies like Datametrex AI Ltd. (TSXV:DM, OTCQB:DTMXF, Forum) are innovators in the cybersecurity space thanks to its artificial intelligence (AI) and machine learning (ML)-based technology that can identify threats by scanning conversations on social media.

With a seven-year history, Datametrex has been working in the cybersecurity field with organizations such as NATO, the Canadian government and the United States Armed Forces for the six years to develop and deploy AI and ML solutions.

In line with this, in an interview with Stockhouse Editorial, Datametrex CEO Marshall Gunter said the company has taken battle-tested military-grade software and moved it into the private sector. He added that the company is now providing those same solutions to companies like Samsung and Lotte Corporation.

Everyone needs cybersecurity,” Gunter told Stockhouse Editorial. Right now, in this day and age, we are producing levels of data that have never been seen before.”

As people’s lives become more increasingly online, companies like Datametrex are becoming more integrated than ever thanks to its solutions that identify threats and help stop the spread of misinformation.

Identifying threats through AI

Gunter explained that the company’s AI software solutions take advantage and use the latest AI and ML techniques to try and find unknown unknowns.”

These are the things that you don’t really know about but could bite you in the days to come,” he said.

Gunter said that the company’s solutions can identify the words and people who write them through social media platforms in order to reveal the unknown unknowns,’ which are considered risks, which then enables organizations to make informed decisions.

[Datametrex] is able to find those things [organizations] should be aware of today but will become a problem in two or three days,” he said, adding that they are threats that should be looked at sooner before they become problems.

Notably, the company’s subsidiary, Nexalogy is an AI-based social data mining and analysis entity that searches social media in order to identify potential threats The deep analytics platform collects and analyses information from social media platforms such as Twitter, Facebook, Tumblr, blog forums, online news sites, Google Alerts, blogs and RSS feeds, which then allows organizations to make more informed decisions by pinpointing trends and risks, among other things.

(Click to enlarge image)

Gunter explained that while the technology scans information, it does so with privacy in mind and that Datametrex overall takes privacy very, very seriously.” He said the company complies with all applicable laws and suggestions from the governing bodies the company is involved with.

[Datametrex is] compliant with all levels, all the way up to the federal levels in the US and Canada and every jurisdiction that we work in,” he said. Gunter reiterated that the company’s solutions do not analyze any private information or information that isn’t available to the general public.

Tackling the spread of disinformation

In today’s digital world, the spread of disinformation is more rapid than ever. In a 2019 report, it is estimated that online fake news is costing roughly US$78 billion globally each year.

Fake news, or disinformation, can originate and can spread from anywhere and be shared across a wide range of platforms. This can include deep fakes, biased reporting and selectively quoting sources, which can make it challenging for consumers to determine the truth.

In the wake of Russia’s invasion of Ukraine, the spread of disinformation has been rampant as edited and manipulated information has been surging in online forums and news outlets out of Russia.

Companies like Datametrex are working to solve these problems case in point, Gunter said that the company has been working in the field of misinformation for many years.

[Datametrex has been] on a task force with NATO and [the company] still participates in the task force to fight misinformation,” he said. [Datametrex] has developed techniques and software that does help fight misinformation in conjunction with defense research in Canada, the Canadian Armed Forces, NATO, the US Airforce, etc.”

Notably, the company, through its subsidiary Nexalogy Environics, developed a Fake News filter in 2018 called the Next Intelligence, which includes automated detection of suspicious news sources on social media.

In 2020, the company worked with the US government to develop strategies on preventing the spread of misinformation on COVID-19. Just before that, Datametrex completed work for Democracy Labs on disinformation in social media regarding the pandemic and secured a relationship with Carnegie Mellon University IDeaS.

[Datametrex] has developed tools and techniques that help shed light on misinformation and bring that to the attention of everyone involved so that [the company] can expose it and show the danger of fake news to the public,” Gunter said.

He explained that in addition to working with public entities such as governments, Datametrex also works with the private sector, including organizations such as Democracy Labs to prevent the surface of misinformation.

The Datametrex AI advantage

While cybersecurity solutions aren’t new, Datametrex AI has a unique advantage when compared to its peers in the space.

Gunter explained that there are three things that differentiate Datametrex from its peers in the space, including:

Leadership team

Marshall Gunter, CEO

Marshall Gunter has an engineering background that is rooted in big data analysis and machine learning at scale. Gunter has worked with Sequoia Capital and Lightspeed Venture Partners where he was responsible for bringing Varagesale to the mass market.

Gunter led Varagesale from a one room shop to an engineering department of over 60 people and played a leading role in its $35 million raise. Gunter’s other experience also includes leading the team that built iSentium’s sentiment engine, which used a patented natural Language Processing system to extract sentiment from unstructured social content that is transformed into highly actionable indicators in finance, brand management and politics.

Don Shim, CPA, CA CFO

Don Shim has had an accounting and finance career in both the US and Canada, having worked and audited publicly traded junior mining companies and high-tech industries. Shim is a member of the Chartered Professional Accounts of British Columbia and a Certified Public Accountant registered in Illinois.

Shim has also been an audit partner on a range of audit engagements for various junior mining companies, oil and gas, pharmaceuticals and high-tech. Shim has also assisted start-up companies going public on the TSX Venture Exchange, Canadian Securities Exchange and the OTC Market. Shim also teaches accounting at a local Vancouver, BC college and acts as a facilitator at CPA Western School of Business.

Dr. Omar Sharif, Chief Medical Officer

Dr. Omar Sharif received his training from the University of Manitoba and then took a range of leading roles within his departments of hospital medicines and emergency medicine in BC and Alberta. Having worked for over 10 years in these fields, Sharif gained status as an instructor at the University of British Columbia.

The investment opportunity

With a market capitalization of C$55.05 million, Datametrex currently has a share price of $0.155 and trades on the TSX Venture Exchange in , but will be uplisted to the TSX by Q3 of this year. At present, Datametrex has 355.17 million shares and 356.17 million shares outstanding.

Thanks to the company’s proven track record and relationships with government entities, the US Airforce, Canadian Armed Forces and other defence agencies, Datametrex has been able to prove that its technology has the legs to stand on,

What’s more, Datametrex is tackling a problem that no other company is currently doing revealing the unknown unknowns’ which means not only is the company ahead of the curve but has the skills to develop a solution that hasn’t been done before.

Additionally, as the company continues to sign new , notably two major AI government contracts totalling over $42 million CAD and as AI and solutions become more pressing companies like Datametrex are solid investment opportunities now, and in the long haul.

For more information, visit Datametrex.

FULL DISCLOSURE: This is a paid article produced by Stockhouse Publishing.

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Craig Wright at IEEE UAE Blockchain Symposium: Bitcoin and IPv6 will create security and wealth for everyone – CoinGeek

Bitcoin creator Dr. Craig S. Wright has given another explanation of how Bitcoin could work with IPv6 to create a more secure internet. This model would see hundreds of billions of connected devices, with users knowing their data is safe from hacks or snooping.

Dr. Wright re-presented the IPv6/Bitcoin recommendations he recently made to the IEEE standards committee, at the University of Dubai recently. IPv6 has been central to his model for Bitcoin for a long time. For some more background on why its important, take a look at CoinGeeks The Bitcoin Bridge interview on IPv6 here.

Bitcoin, cryptocurrencies and underlying value

He opened his presentation by explaining how he had some knowledge of Islamic Finance before he created Bitcoin. While some have a shallow understanding of IF as being all about its prohibition of interest rates and usury, theres more to it than thatits about a system that doesnt create wealth underlying capital.

Adding that Bitcoins not a cryptocurrency, he said the network was IPv6 enabled in its first version in 2009but that this capability was turned off after he left the development team. He also noted that Bitcoin technology is not peer-to-peer in the way most people describe it (like Napster or BitTorrent) but rather end-to-end, between individuals.

Rejecting the Silicon Valley model

And thats where IPv6 comes in. 100 billion machines will be connected to the internet over the next couple of years, and they will need to communicate in a secure way with unique addresses. Leaving all data to large corporations, with centralized databases that can be hacked, is the wrong way to do it.

Youre always going to have big Silicon Valley companies sitting there in the middle, sucking your data. I dont like that model, Dr. Wright said.

These 100 billion devices include products with RFID tags, disposable communications tablets, smart home devices everything. This proliferation of connections would actually make the internet more secure, because of the impossible time it would take to brute-force scan the entire network looking for vulnerabilities.

A well-defined cloud-and-IPv6 system will be far more secure than the existing shell-firewall model, Dr. Wright said.

Bitcoin provides the base layer to this network. For it to work, you cant have multiple ledgers (i.e., blockchains). To maintain security and prevent fraud you must have a single ledger, a single set of records that everyone trusts. VISA is expensive; BTCs Lightning Network is unreliable and off-chain.

Silicon Valley companies may resist Bitcoins model, but If the Americans dont want to do it, I dont care. Its a big world, Dr. Wright said.

How IPv6 and Bitcoin create a secure internet

With IPv6 we will have the ability to connect every device and user directly. IPv6 has its expanded address space, extended routing, improved scalability, simplified headers and faster processing, support for authentication and privacy, support for source routes, and quality of service capabilities.

IPv6 will see the death of the current internets SSL (secure sockets layer) and its application-based security through host-identification and authorization schemes. It uses CGA (cryptographically-generated addresses) instead. Cryptography is hard, but if we use it once in the OS rather than at each later, we all win.

That only happens if we do it right, Dr. Wright added. Using Bitcoins key structure is that way. It can be linked to real-world identities, but in a secure wayusing different keys for every transaction, generated from a single source. You therefore have a provable audit trail linking that identity to all its communications (or transactions) but not in a way where the data can be mined.

He gave the examples of Paymail and HandCash as using Domain Name System Security Extension (DNSSEC). This can be extended into CGA by having an IPv6 address that is cryptographically derived from/linked to a public-private key pair.

This takes us back to a more distributed model of the internet, as it was originally intended to berather than the current network of centralized services run by large oligarchies more interested in data mining and control.

Freeing the market, freeing the world

The freedom to transact and perform unlimited commercial activities at almost no cost (for payments) is what will truly create wealth for all people, Dr. Wright said. This includes people in wealthy countries, and those from less-wealthy ones working for lower amounts, or overseas.

I want to push down the prices of transactions so low that Amazon cries. If they dont deal with this, theyll be out of business, he said.

Some in the University of Dubai audience were slightly skeptical that Dr. Wrights model could find acceptance in the real world, saying it sounds too good to be true. This is pertinent given the current worlds pursuit of equality and oligarchical control. Dr. Wright vehemently disagreed with these so-called principles, referring back to the Islamic Golden Age where opportunity was held in higher regard, and wealth came from the creation of real value.

Most long-time Bitcoiners have always known their system could produce better outcomes for humanitybut also wondered if it could fit into the current worlds political paradigms. That is still uncertain. But if the current worlds political goals set it on a path to failure, there will need to be alternatives. The best alternative that exists today is Bitcoin, working in tandem with the internet on which it operates.

Watch: Dr. Craig Wright tackles IPv6, blockchain integration on The Bitcoin Bridge

New to Bitcoin? Check out CoinGeeksBitcoin for Beginnerssection, the ultimate resource guide to learn more about Bitcoinas originally envisioned by Satoshi Nakamotoand blockchain.

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Data Mining – Classification & Prediction

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There are two forms of data analysis that can be used for extracting models describing important classes or to predict future data trends. These two forms are as follows

Classification models predict categorical class labels; and prediction models predict continuous valued functions. For example, we can build a classification model to categorize bank loan applications as either safe or risky, or a prediction model to predict the expenditures in dollars of potential customers on computer equipment given their income and occupation.

Following are the examples of cases where the data analysis task is Classification

A bank loan officer wants to analyze the data in order to know which customer (loan applicant) are risky or which are safe.

A marketing manager at a company needs to analyze a customer with a given profile, who will buy a new computer.

In both of the above examples, a model or classifier is constructed to predict the categorical labels. These labels are risky or safe for loan application data and yes or no for marketing data.

Following are the examples of cases where the data analysis task is Prediction

Suppose the marketing manager needs to predict how much a given customer will spend during a sale at his company. In this example we are bothered to predict a numeric value. Therefore the data analysis task is an example of numeric prediction. In this case, a model or a predictor will be constructed that predicts a continuous-valued-function or ordered value.

Note Regression analysis is a statistical methodology that is most often used for numeric prediction.

With the help of the bank loan application that we have discussed above, let us understand the working of classification. The Data Classification process includes two steps

This step is the learning step or the learning phase.

In this step the classification algorithms build the classifier.

The classifier is built from the training set made up of database tuples and their associated class labels.

Each tuple that constitutes the training set is referred to as a category or class. These tuples can also be referred to as sample, object or data points.

In this step, the classifier is used for classification. Here the test data is used to estimate the accuracy of classification rules. The classification rules can be applied to the new data tuples if the accuracy is considered acceptable.

The major issue is preparing the data for Classification and Prediction. Preparing the data involves the following activities

Data Cleaning Data cleaning involves removing the noise and treatment of missing values. The noise is removed by applying smoothing techniques and the problem of missing values is solved by replacing a missing value with most commonly occurring value for that attribute.

Relevance Analysis Database may also have the irrelevant attributes. Correlation analysis is used to know whether any two given attributes are related.

Data Transformation and reduction The data can be transformed by any of the following methods.

Normalization The data is transformed using normalization. Normalization involves scaling all values for given attribute in order to make them fall within a small specified range. Normalization is used when in the learning step, the neural networks or the methods involving measurements are used.

Generalization The data can also be transformed by generalizing it to the higher concept. For this purpose we can use the concept hierarchies.

Note Data can also be reduced by some other methods such as wavelet transformation, binning, histogram analysis, and clustering.

Here is the criteria for comparing the methods of Classification and Prediction

Accuracy Accuracy of classifier refers to the ability of classifier. It predict the class label correctly and the accuracy of the predictor refers to how well a given predictor can guess the value of predicted attribute for a new data.

Speed This refers to the computational cost in generating and using the classifier or predictor.

Robustness It refers to the ability of classifier or predictor to make correct predictions from given noisy data.

Scalability Scalability refers to the ability to construct the classifier or predictor efficiently; given large amount of data.

Interpretability It refers to what extent the classifier or predictor understands.

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University experts available to comment on facets of Russia’s invasion of Ukraine – University of Rhode Island

KINGSTON, R.I. March 16, 2022 The University of Rhode Island is making several experts available to talk about topics related to the war in Ukraine.

Distinguished University Professor Bahram Nassersharif is director of URIs Nuclear Engineering Program in the College of Engineering and can discuss nuclear engineering and power plant safety issues. A member of the Department of Mechanical, Industrial, and Systems Engineering, he is also knowledgeable of and can speak about nuclear weapons physics, capabilities, effects, and impact.

Assistant Professor of Economics Nina Eichacker focuses on macroeconomics, financial economics, and European economics. Her research and teaching interests include the political and economic effects of financialization and globalization, interest groups influence on economic policy, and the evolution of banking practices in the U.S. and Europe.

Professor of Economics Richard McIntyres research and teaching areas are international economics, international studies and diplomacy. Professor McIntyre has lectured at the University of Le Havre, Euromed Marseille cole de Management (now KEDGE Business School), Novgorod State University, the Universit de Lyon II, and cole Normale Superieure de Cachan (now cole normale suprieure Paris-Saclay), where he was a visiting research professor in 2002, as well as at many universities and colleges in the U.S., most recently Texas Christian University in February 2021. He was in residence as the holder of the Chair of the Americas at the Institut des Ameriques-Rennes, University of Rennes 2 in spring 2017.

Professor of Political Science Marc Hutchison, department chair, specializes in international relations and foreign policy. He is interested in the causes and consequences of international conflict, as well as the relationship between state-level threats and domestic attitudes and behavior, such as political tolerance, trust, and participation. Other research interests include territorial conflict, terrorism, civil conflict, state development, and U.S. foreign policy.

Associate Professor of Supply Chain Management Koray zpolat can offer his expertise in humanitarian logistics and disaster relief, international business and globalization, impact of the war and international sanctions on global supply chains, and emerging business/supply chain technologies. At URI, he teaches Global Supply Chain Management at the undergraduate and MBA levels and has engaged in research/teaching activities in China, S. Korea, Italy, France and Hungary. He serves the profession as the Vice President of Information Management for the Decision Sciences Institute and as an Editorial Board Member of the Transportation Journal. Prior to joining URI in 2011, he worked for the United Nations Relief and Works Agency in Jordan, for the National Research Institute of Electronics & Cryptology in Turkey and held teaching positions in the former Soviet Republics of Kyrgyzstan and Georgia.

Associate Professor of Supply Chain Management and Area Coordinator Dara Schniderjans focuses on the sustainability and societal factors and implications of supply chains. She has co-authored five books and published over thirty academic journal articles as well as numerous book chapters. Schniderjans has served as a guest co-editor for a special issue on Business ethics in Social Sciences in the International Journal of Society Systems Science. She has also served as a website coordinator and new faculty development consortium co-coordinator for Decisions Sciences Institute. She was recognized as a fellow and distinguished scholar by the International Institute for Applied Knowledge Management Program Committee. She has obtained CLTD (ASCM), CPP (American Purchasing Society) and LSS Black Belt (University of Southern California) certifications. She has also worked as a consultant for a medical data mining startup and in advertising for an end-to-end telehealth solutions organization in Minneapolis, Minnesota.

Please contact Dave Lavallee at 401-874-5862 or dlavallee@uri.edu to arrange an interview.

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Identity Governance and Administration Market R & D including top key players SailPoint, Oracle, Dell Technologies (RSA), Micro Focus The Sabre -…

JCMRprovides the Identity Governance and Administration market size information and market trends along with factors and parameters impacting it in both short- and long-term. The study provides a 360 view and insights, outlining the key outcomes of the industry. These insights help the business decision-makers to formulate better business plans and make informed decisions for improved profitability. In addition, the study helps venture capitalists in understanding the companies better and make informed better Identity Governance and Administration business decisions. Some of the key players in theIdentity Governance and Administration marketare: SailPoint, Oracle, Dell Technologies (RSA), Micro Focus, One Identity, Broadcom, IBM, SecureAuth, Microsoft, Omada, Hitachi ID Systems, SAP, Saviynt, Alert Enterprise, Okta, Fischer International, Identity AutomationGet Access to Sample Pages@:jcmarketresearch.com/report-details/1340984/sample

Matrix for collecting Identity Governance and Administration data

Important Features that are under offering & key highlights of the Identity Governance and Administration report:

1) What all companies are currently profiled in the Identity Governance and Administration report?Following are list of players that are currently profiled in the report:SailPoint, Oracle, Dell Technologies (RSA), Micro Focus, One Identity, Broadcom, IBM, SecureAuth, Microsoft, Omada, Hitachi ID Systems, SAP, Saviynt, Alert Enterprise, Okta, Fischer International, Identity Automation

** List of companies mentioned may vary in the final report subject to Name Change / Merger etc.

Early buyers will receive 10% customization on reports. Read Detailed Index of full Research Study at @jcmarketresearch.com/report-details/1340984/enquiry

2) Can we add or profiled new Identity Governance and Administration industry company as per our need?Yes, we can add or profile new company as per client need in the Identity Governance and Administration report. Final confirmation to be provided by research team depending upon the difficulty of survey and availability of data.

** Data availability will be confirmed by research in case of privately held company. Upto 3 Identity Governance and Administration industry players can be added at no added cost.

3) What all regional Identity Governance and Administration segmentation covered? Can specific country of interest be added?Currently, Identity Governance and Administration research report gives special attention and focus on following regions:North America, Europe, Asia-Pacific etc

** One country of specific interest can be included at no added cost. For inclusion of more regional segment quote may vary.

4) Can inclusion of additional Segmentation / Identity Governance and Administration Market breakdown is possible?Yes, inclusion of additional Identity Governance and Administration segmentation / Market breakdown is possible subject to data availability and difficulty of survey. However a detailed requirement needs to be shared with our research before giving final confirmation to client.

** Depending upon the requirement the deliverable time and quote will vary.Research Methodology

JC Market Research employs comprehensive and iterative research methodology focused on minimizing deviance in order to provide the most accurate estimates and Identity Governance and Administration forecast possible. The Identity Governance and Administration industry experts utilizes a combination of bottom-up and top-down approaches for segmenting and estimating quantitative aspects of the market. In Addition, a recurring theme prevalent across all our research reports is data triangulation that looks market from three different perspectives. Critical elements of methodology employed for all our studies include:

Preliminary Identity Governance and Administration data mining

Raw Identity Governance and Administration market data is obtained and collated on a broad front. Identity Governance and Administration Data is continuously filtered to ensure that only validated and authenticated sources are considered. In addition, Identity Governance and Administration data is also mined from a host of reports in our repository, as well as a number of reputed paid databases. For comprehensive understanding of the Identity Governance and Administration market, it is essential to understand the complete value chain and in order to facilitate this; we collect data from raw material suppliers, distributors as well as buyers.

Get Up to 50% Discount on Identity Governance and Administration industry full report @jcmarketresearch.com/report-details/1340984/discount

Statistical Identity Governance and Administration model

Our Identity Governance and Administration market estimates and forecasts are derived through simulation models. A unique model is created customized for each Identity Governance and Administration study. Gathered information for Identity Governance and Administration market dynamics, technology landscape, application development, and pricing trends are fed into the model and analyzed simultaneously. These Identity Governance and Administration factors are studied on a comparative basis, and their impact over the forecast period is quantified with the help of correlation, regression, and time series analysis. Identity Governance and Administration Market forecasting is performed via a combination of economic tools, technological analysis, and industry experience and domain expertise.

Econometric models are generally used for short-term forecasting, while technological market models are used for long-term forecasting. These are based on an amalgamation of Identity Governance and Administration technology landscape, regulatory frameworks, economic outlook and business principles. A bottom-up approach to market estimation is preferred, with key regional markets analyzed as separate entities and integration of data to obtain global Identity Governance and Administration estimates. This is critical for a deep understanding of the Identity Governance and Administration industry as well as ensuring minimal errors. Some of the parameters considered for forecasting include:

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Identity Governance and Administration Market R & D including top key players SailPoint, Oracle, Dell Technologies (RSA), Micro Focus The Sabre -...

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Kronos Fusion Energy Planning to Build First Ever National Fusion Energy Space Center – GlobeNewswire

AUSTIN, Texas, March 17, 2022 (GLOBE NEWSWIRE) -- Kronos Fusion Energy Defense Systems (KFEDS) has developed advanced algorithms that allow the detailed simulation of plasma and components within a fusion generator, building on recent advances in this emerging technology.KFEDSis now preparing to take this technology out of the lab and into space.

Brigadier General (Ret) Paul E. Owen, Founding Partner and CEO of KFEDS, stated that, "Not since the opening stages of the space race, when mankind first entered space, and later landed on the moon, have we faced such rapid advances in technology. These advances give us the ability to truly explore beyond our solar system, to efficiently deliver interplanetary transport of personal material and equipment and to deliver unmanned expeditions to the far reaches of our solar system with sufficient payload and power to drive unprecedented levels of scientific discovery."

To this end,KFEDSis actively reviewing sites around the country where it plans to build America's first National Fusion Energy Space Center. This center will serve as a commercial development and testing site while providing over 1,000 new jobs, bringing together a team of civil and mechanical engineers, scientists, IT specialists and many others, with the unified goal of delivering the next generation of spacecraft propulsion and energy supply. KFEDS plans to identify a final location this year and break ground in early 2023 on this critical facility.

Fusion Energy represents a true evolution in space exploration, enabling a new era of rapid space travel that will revolutionize deep space exploration, interplanetary travel and sustainability of extra-terrestrial surface and space operations. KFEDS ability, through advanced modeling and simulation, to developsignificantly more efficient and powerful fusion generator designs, capable of being built in a rapidly accelerated time frame, take full advantage of U.S. dominance in the integrated fields of Artificial Intelligence, Neural Networks, Deep Learning, Blockchain Security, and Data Mining. TheNational Fusion Energy Space Center is the natural culmination of many years of research and development, allowing for these advanced concepts to now be built, tried, tested and, eventually, integrated into the space programs of tomorrow.

For over 50 years, the United States has remained the undisputed leader in the exploration and understanding of our solar system and beyond. The systems that will be developed at the National Fusion Energy Space Center hold the key to ensuring that it remains so for the next 50 years and beyond.

For further information:

Kronos Fusion Energy

1122 Colorado St

Austin, TX 78701

https://www.kronosfusionenergy.com/

PR Contact: Erin Pendleton - pr@kronosfusionenergy.com

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Kronos Fusion Energy Planning to Build First Ever National Fusion Energy Space Center - GlobeNewswire

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Schrdingers cat and the worry of a quantum apocalypse ahead – Mint

Let me try distracting you from war and disease with a joke. Schrdinger takes his cat to the vet for a check-up. The vet comes back 10 minutes later and says, Well, I have good news and bad news.. If you snickered at this, you know a bit about the Schrdingers Cat paradox, and therefore perhaps a little bit about quantum physics. For those who did not, the paradox explains the seeming contradiction between what we see with our naked eye and what quantum theory tells us actually exists in its microscopic state. The Copenhagen interpretation of quantum mechanics states that a particle exists in all states at once until observed. Schrdingers cat is in a box, and could be alive or dead. But till the box is opened, you would not be able to know. Thus, the vets quandary.

This principle, among others, powers one of the most exciting and bleeding- edge advances in technology: Quantum computing. I have written about it before in Mint, but to summarize: Our current powerful computers follow the principles of the Turing machine, where information is encoded in bits (1 and 0) and a series of operations (and, or, not, etc) make these bits compute. A quantum computer uses qubits or the quantum version of bits; a qubit is not permanently a 0 or 1, but it can be both at the same time. Only at the end of the computation (when the box is opened), can you know whether its 0 or 1. During the computation process, its exact state is indeterminate and can contain bits of both. If this whooshed over your head, console yourself with what Bill Gates said in a 2017 interview: I know a lot of physics and a lot of math. But the one place where they put up slides and it is hieroglyphics, its quantum."

A quantum computer can exploit these properties of quantum physics to perform certain calculations far more efficiently and faster than any computer or supercomputer, inspiring the likes of Microsoft, IBM and Google to work feverishly on this form of computing. This is especially urgent because Moores Law is flattening but our problems are becoming more complex: climate change, artificial general intelligence, drug personalization. While this is super exciting, a recent BBC article (bbc.in/3pA7pIY ) about the quantum apocalypse made me pause.

As a hidden force behind e-commerce, online banking and trading, crypto trading, social networking and internet messaging, almost everything we do involves encryption. Most encryption uses public and private keys, and that in turn uses arcane mathematical calculations involving prime numbers. Using a Turing computer to crack this encryption is virtually impossible. It would take thousands of years. However, a quantum computer can potentially do this in mere seconds. Every minute, huge amounts of encrypted data is harvested without our knowledge and stored in vast data banks, waiting for the day that it can finally be decrypted. Today, there is nothing data thieves can do with this treasure trove, but once a functioning quantum computer appears that will be able to break that encryption... it can almost instantly create the ability for whoevers developed it to clear bank accounts, to completely shut down government defence systemsBitcoin wallets will be drained." says lyas Khan, chief executive of Quantinuum. Moreover, current encryption methods will be useless, halting online banking transactions, e-commerce, social media interactions, everything. The security of every public blockchain will be under threat from quantum computing power, since it relies on heavy duty cryptography; it was no coincidence that the price of Bitcoin dropped sharply the day Google made its announcement of achieving quantum supremacy a year ago. It was a portent of the quantum apocalypse.

The world is gearing up for this post-quantum world. Google, Microsoft, Intel and IBM are working on solutions. So are specialist startups like Post-Quantum and Quantinuum. The UK government claims that all its top-secret data is already post-quantum. The BBC talks of a beauty parade taking place to establish a standardised defence strategy that will protect industry, government, academia and critical national infrastructure against the perils of the quantum apocalypse." New cryptographic methods like quantum key distribution are being developed, by which even if the message gets intercepted, no one can read it, much like the cat.

All this will not be cheap, nor will it be easy. But we have no choicemost of our world runs digitally now and its wheels need to be kept humming. To do that, we need to think out of the box.

Jaspreet Bindra is the chief tech whisperer at Findability Sciences, and learning AI, Ethics and Society at Cambridge University.

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Eugene N. Parker, 94, Dies; Predicted the Existence of Solar Wind – The New York Times

Dr. Parker, he said, was happy when people pointed out a mistake in his calculations but not pleased when people accepted prevalent scientific assumptions without question.

He had little patience for Its well known that Dr. Turner said.

Even though Dr. Chandrasekhar, a future Nobel laureate, disagreed with Dr. Parkers conclusions, he overruled the reviewers, and the paper was published.

Four years later, Dr. Parker was vindicated when Mariner 2, a NASA spacecraft en route to Venus, observed energetic particles streaming through interplanetary space exactly what he had predicted.

When Dr. Zurbuchen joined NASA in 2016, the agency had been working for years on a mission called Solar Probe Plus, which was to swoop close to the sun repeatedly. Dr. Zurbuchen said he disliked the name Solar Probe Plus and wrote to the National Academies of Sciences, Engineering and Medicine asking it to suggest a person to name the mission after.

The unequivocal response: Eugene Parker.

NASA had never before named a spacecraft after a living person. But Dr. Zurbuchen, who had met Dr. Parker years earlier, said he did not have much trouble getting Robert Lightfoot, the acting administrator of NASA at the time, to approve the change in 2017. Dr. Zurbuchen then called Dr. Parker to ask if that would be all right with him. He said, Absolutely. It will be my honor, Dr. Zurbuchen recalled.

Dr. Parker later said he was surprised that NASA had asked for his permission.

A few months afterward, Dr. Parker went to visit the Johns Hopkins Applied Physics Laboratory in Maryland, where the spacecraft was built and tested. Dr. Fox, then project scientist for the mission, recalled saying, Parker, meet Parker.

The next year, Dr. Parker and his family traveled to Florida to watch the launch of his namesake spacecraft.

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Eugene N. Parker, 94, Dies; Predicted the Existence of Solar Wind - The New York Times

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