A system for adaptive cooling and energy harvesting comprising at least one thermoelectric device capable of acting as a thermoelectric cooler and as a thermoelectric generator, a hierarchical multiple-level control system, and electronics controlled by the control system and connected to the thermoelectric device. The electronics selectively configure the thermoelectric device in at least in a thermoelectric cooler operating mode and in a thermoelectric generation operating mode. The thermoelectric device can incorporate quantum-process and quantum-well materials for higher heat transfer and thermoelectric generation efficiencies. The invention provides for thermoelectric devices to additionally operate in temperature sensing mode. The hierarchical control system can comprise a plurality of control system, each of which can operate in isolation and can be interconnected with additional subsystems associated with other hierarchical levels. The hierarchical control system can comprise linear (additive) control, bilinear (additive and multiplicative) control, nonlinear control, and hysteresis.

A data security pocket and garment is disclosed for better positioning and protecting data and information contained in a card or device for housing such information from its theft or misappropriation when it is placed in the pocket portion of the invention. The pocket portion of the invention is specially positioned on and secured to a portion of the garment or clothing surface near or adjacent to the arm-pit area with which it is used in combination, with its own design, to provide a more protective pocket environment for placement and transportation of a card, chip or other data/information carrying or storing device or means. The pocket and the garment in combination make up four layers from which the pocket is constructed, secured and positioned. These layers include the top pocket layer (12); the top security layer (14) and the bottom security layer (16), each fabricated from security anti-RFID material; and the garment, clothing or base layer (18). These layers are connected one to the other so that the pocket portion has a first accessible opening (40) and a second accessible opening (42) when secured in proper position on the garment (18). Further provided is the trim security flap cover (22), also fabricated from security anti-RFID material, and the upper cover enclosure (20), each of which is secured above the pocket portion on the garment layer (18), and which pivot and close over the top pocket layer (12). Coupling is provided for both the upper cover enclosure (20) and the top pocket layer (12); and the trim security flap cover (22) and the top pocket layer (12). In another aspect of the invention an auxiliary security area (39) is provided on the top pocket layer (12) adjacent or near the coupling for the trim security flap (22).

IN this podcast Thomas Domville shows us how to increase the security of your Google, Facebook, and other internet and social media accounts with Jumbo: Privacy + Security for iOS.

‎Jumbo: Privacy + Security on the App Store
https://apps.apple.com/no/app/jumbo-privacy/id1454039975

Does your iPhone keep running out of cellular data before your month service is up? Do you feel like your cap is too restrictive , but can't afford to upgrade to a more expensive iPhone contract?

If you're tired of running out of data every month , follow as Thomas Domville shows us a few tips to track and save cell data onto your iPhone so that you never hit your limit again.

Datacode Records has announced the release of the new FOCUS: Serum Melodic Techno sound pack, a collection of Serum presets with a focus on Melodic Techno, Progressive House, Techno and Minimal. The pack features 68 brand new Serum presets and 20 Serum patches from FOCUS: Melodic Techno as a bonus. The follow up release to […]

The post FOCUS: Serum Melodic Techno sound pack by Datacode now available appeared first on rekkerd.org.

Amazon, FirstCry and J&J’s BabyCenter among those seeking info to offer tailored content, discounts; move may violate proposed data law.

High rates of COVID-19 infections include areas near Indian reservations and in metro Phoenix and Tucson.

The 2014 lawsuit alleged that EY's auditing facilitated an accounting fraud and sought damages from the consulting giant.

Hey what’s good MT Fam! Just wanted to share a quick tip on how to erase events directly from the controller. There are multiple ways to erase notes, but if you quickly just want to get rid of all the notes for a specific pad this short cut is one to remember. It is one […]

The post How to Quickly Erase Events & Note Data appeared first on Maschine Tutorials.

Updated at 6:40 p.m. ET President Trump announced an executive order on gathering citizenship information, a shift from an earlier effort to get a question about citizenship on the 2020 census. Trump spoke alongside Attorney General William Barr, who praised his decision. Their remarks come after the Supreme Court blocked, for now, the addition of the question " Is this person a citizen of the United States? " on the annual headcount. Critics feared the question would lead to undercounts of immigrant groups and communities of color. Despite the justices' rejection, Trump had vowed to continue pushing for the change — even as printing of the paper forms has begun. The administration's persistence includes an attempt to change the Justice Department's legal team on the issue. But Trump's remarks Thursday indicate the administration is dropping the question fight in favor for a different avenue for getting a count of noncitizens in the U.S. Still, it's not clear what impact the executive

Here are interesting correlations between the seriousness of podcasts and the hosting companies they use.

Data sharing is vital for online businesses. Companies share user data with vendors to help grow their business, boost user engagement, and personalize their products. In addition, companies often have to share data with governments and other regulatory bodies for compliance reasons. In this course, the final installment in the Privacy series, Nishant Bhajaria goes over various techniques you can apply to help bolster data privacy before you share data. Nishant begins by stepping through the various risks associated with data sharing, as well as common misconceptions related to privacy and data sharing. He then shares strategies for protecting data privacy and making more informed data sharing decisions, including how to leverage k-anonymity and l-diversity in your work. Along the way, Nishant shares challenges that allow you to put your new skills to the test.

Note: We recommend taking the previous course in this series, Privacy: How to Classify and Inventory Your Data, prior to beginning this course.

Companies often collect customer data with third parties to enable better products and growing engagement, as well as for safety reasons. But users expect—and deserve—that their information is handled with great care. In this course, instructor Nishant Bhajaria steps through how to create an architecture to manage data collection and measure risk, as well as afford privacy protections relative to that risk. This architecture—which is a combination of technology, techniques, and processes—can enable companies to be more disciplined with data while collecting and processing it. Nishant goes over the current privacy landscape, explains how classifying data can save you money in the long run, and shares what the data classification process should look like. He also takes a deep dive into the data inventory process, explaining how to best approach it and discern whether it is succeeding. Finally, Nishant provides context on executive communication on privacy governance.

Note: Want to continue learning how to strengthen your organization's privacy infrastructure? After wrapping up this course, check out the final installment in this series, Privacy: How to Share Data with Privacy Controls.

Interested in learning how to create an online experiment that helps you better understand your business? This course can help you get up to speed. Instructor Monika Wahi shows learners without a background in experimental design how to build an A/B test for a web page, run the test, analyze the data, and make decisions based on the results of the test. Monika begins by explaining exactly what A/B testing is and under what circumstances it is useful. She then covers potential strategies for increasing conversion rates, as well as how to choose both A and B conditions for testing. Next, she explains how to define conversion rates and develop and document case definitions, conduct a baseline analysis in Excel and, based on the results of the analysis, design an A/B test. Plus, she demonstrates how to conduct a chi-square test in Excel and get a sample size estimate using G*Power.

Confident in your understanding of the Microsoft cybersecurity stack? Taking and passing the Microsoft Azure Security Technologies (AZ-500) exam can help you validate your skills—and, in turn, give your IT career a boost. In this course, instructor Pete Zerger lays out what you need to know to tackle the fourth domain of the AZ-500 exam: Securing Data and Applications. Pete takes a deep dive into the concepts covered in the second half of domain four, including how to configure encryption for data at rest, configure security features to protect web apps, and manage access to Key Vault. When coupled with Azure Security Technologies: Policy and Data Infrastructure—which covers the first half of the Securing Data and Applications domain—this course can help ensure that you walk into the test center feeling prepared to tackle this key portion of the exam.

U.S. authorities have seized the domain name of a website that allegedly sold access to billions of usernames, email addresses, passwords and other sensitive information stolen in data breaches. Now, visitors to the not-so-subtle website – weleakinfo.com — are greeted with a homepage that reads, "This Domain Has Been Seized." The Justice Department and the FBI took control of the site as part of a "comprehensive law enforcement action" involving authorities in Germany, Northern Ireland, the U.K. and the Netherlands. Two men in Europe have been arrested so far in connection with the site. WeLeakInfo billed itself as a "search engine" that subscribers could use to pore over data illegally obtained from more than 10,000 data breaches, U.S. authorities said in a statement . In all, the Justice Department said the site was offering access to more than 12 billion indexed records. "The website sold subscriptions so that any user could access the results of these data breaches, with

Copyright 2020 NPR. To see more, visit DAVID GREENE, HOST: Often, a new monthly jobs report is of interest, you know, mostly to economists and policymakers. The one coming out today could be much more significant. NOEL KING, HOST: Right. Because of COVID-19, we could see the highest unemployment rate in this country since the Great Depression. GREENE: And let's talk about this moment with NPR's Scott Horsley. Hi, Scott. SCOTT HORSLEY, BYLINE: Good morning, David. GREENE: So how ugly do we think these numbers are going to be? HORSLEY: Very ugly. To put this in some perspective, David, the worst monthly job loss we saw during the Great Recession, the financial crisis, was 800,000. This morning's report is going to show job losses in the millions, maybe as many as 20 million. And as painful as that is, it's still not going to tell the full story of the economic wreckage that the coronavirus pandemic has been causing. GREENE: Why not? HORSLEY: Well, a couple of reasons. This report is

This is a direct hire to my team, which is the client-facing arm of Superconductive. We're a really great company - a distributed team of kind, smart, interesting people who treat each other like human beings. Full job description is below - feel free to reach out with questions!

Our mission

Superconductive’s mission is to revolutionize the speed and integrity of data collaboration. We are the team behind Great Expectations, the leading open source tool for defeating pipeline debt through data testing, documentation, and profiling. Data teams all over the world use Great Expectations to boost the confidence, integrity, and speed of their work.


About the role

As a Data Engineer on Superconductive’s Enterprise Partnerships team, you will directly contribute to the success of our partnerships with enterprise clients. You will be responsible for owning the end-to-end process of designing, building, and deploying data pipelines, using Great Expectations for data validation and testing. As part of this, you will be exposed to a wide variety of clients, industries, and types of data infrastructure.


You will be expected to:

Develop a deep understanding of client needs and goals, as well as their existing data infrastructure
Design, build, and deploy different pieces of data pipeline infrastructure, such as tools for ETL, data warehousing, and workflow orchestration
Train our clients in best practices for building, maintaining, and validating their data pipelines
Synthesize learnings from client work and identify high value product improvements to feed back into Great Expectations


As part of Superconductive, you will also have opportunities to evangelize Great Expectations through conference talks, workshops, and blog posts, if you choose to do so.


Why join Superconductive?

Glad you asked!


We offer…

A world class team, with deep roots in open source, cutting-edge software and data development. We are actively cultivating a new cultural blend of excellent data engineering and AI-enabled technical workflows.

A fast-growing company with lots of opportunity for learning and personal growth.

A front-row seat to the rapid evolution of data science and engineering. Data work is going through a renaissance, and—as the leading provider of a key piece in the new technology ecosystem—Superconductive is right in the middle of it.

A kind, curious, and open-minded company culture. We are always seeking ways to improve ourselves and our processes; we keep these conversations open to the whole team. We prioritize empowering our team members rather than a command and control hierarchy.

A distributed team with lots of flexibility around timing and individual work preferences. We currently have teammates in the San Francisco Bay Area, Salt Lake City, New York, Michigan, North Carolina, and other places. We’d love to add your town.

And of course, competitive compensation (base salary + equity package) with available Medical, Dental, Vision & 401K.


Job requirements

Minimum two years of work experience as a data engineer or in a role with responsibilities including:
Design, implementation, and maintenance/management of data pipelines
Implementation and management of SQL databases

Proficiency in SQL and Python

Proficiency in engineering tools and best practices, such as version control and testing

Experience with data analytics and relevant tooling (e.g. Python data stack, R)

An excitement for interacting with clients and digging deep into new (to you) technologies and domains


Strong candidates for this role will most likely come from backgrounds in either data engineering or data science. We are looking for people with substantial experience building data pipelines, or experience developing software with a close affinity to data and analytics.


Great engineering is more than just technical proficiency. Our team is set up to support and build the following cultural skills. We don’t expect black-belt virtuosity. We do expect everyone to bring good ideas and habits, so that they can contribute to a collective culture of best practices.


Have data in your blood - the more curiosity you have about a wide variety of data from all walks of life, the better.

Communicate well—in writing, in person, and on Slack.

Be good at time management (e.g. estimating timelines, prioritizing tasks, avoiding rabbit holes, speaking up when you need help).

Possess keen antennae for the lived experience of technical work. We constantly seek out opportunities for delightful refactors to tools, workflows, and collaboration, gathering ideas from all team members.

Commit to a culture of transparency, cooperation, and mutual support in an entirely distributed team.

Play nice with others. Assholes need not apply.


Nice to haves

Experience in a client-facing role, e.g. sales engineering, implementations, forward deployed engineering

Project management experience

Experience with domain-specific data in multiple industries (e.g. healthcare, ad-tech, e-commerce)

Advanced skills in data analytics, statistics, or machine learning

Devops and data infrastructure skills are a plus (e.g. workflow orchestration tools, containerization)

Experience with software engineering, and possibly contributions to open source projects


Superconductive Health, Inc. is an Equal Opportunity Employer. In compliance with Federal law and the Federal Acquisition Regulation (FAR) 22.1800, the selected candidate will be required to provide documentation that will verify their identity and eligibility to work in the United States.

Humans are not rational beings, and when it comes to data this is blindingly evident. On this episode of Two Guys on Your Head, Dr. Art Markman and Dr. Bob Duke talk about data and the brain.

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Internet Archive crawldata from Twitter Outlinks Crawl, captured by crawl502.us.archive.org:twitter_outlinks from Sat May 9 03:41:13 PDT 2020 to Fri May 8 22:02:27 PDT 2020..

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Hispanic people in King County are dying from COVID-19 at much higher rates than white people, according to a new study. The insight into the coronavirus’ uneven impact in King County comes into focus as people of color represent an increasing percentage of the county's COVID-19 cases. 

Redguide, published: Tue, 14 Apr 2020

To help you safeguard your sensitive data and provide ease of auditability and control, IBM introduced a new capability for IBM Z® called IBM Data Privacy Passports.

Draft Redpaper, last updated: Wed, 29 Apr 2020

Having appropriate storage for hosting business-critical data and advanced Security Information and Event Management software for deep inspection, detection, and prioritization of threats has become a necessity of any business.

Hospital admissions tracked by the state Department of Health offer a window into the pandemic's impact on the health care system. Right now, officials are not seeing a surge of patients, but worry one could still be coming.

The decision by Americans to hunker down during the coronavirus pandemic has been heavily influenced by pronouncements from national and local leaders, according to data released Monday by the Centers for Disease Control and Prevention. The report offers the most robust information to date showing the relationship between people’s behavior and official policies announced by […]

Hispanic people in King County are dying from COVID-19 at much higher rates than white people, according to a new study. The insight into the coronavirus’ uneven impact in King County comes into focus as people of color represent an increasing percentage of the county's COVID-19 cases. 

The Canadian stock market was down sharply in negative territory at noon on Friday, as worries about the economic impact of the coronavirus pandemic triggered widespread selling once again.

The Labor Department is expected to report a very bad jobless report. The Justice Department drops a case against an ex-Trump adviser. And, an update on the death of an unarmed black man in Georgia.

Japanese consumer electronics major Sony Corp. has developed a blockchain-powered platform that integrates transportation data from across different forms of transportation such as trains, buses, taxis, car sharing, on demand mobility services and rental bicycles. The common database platform or Blockchain Common Database (BCDB) utilizes blockchain technology for Mobility as a Service (MaaS).

The Labor Department is expected to report a very bad jobless report. The Justice Department drops a case against an ex-Trump adviser. And, an update on the death of an unarmed black man in Georgia.

Following the advance seen in the previous session, stocks have shown a lack of direction over the course of the trading day on Wednesday. The major averages have spent the day bouncing back and forth across the unchanged line.

Final Purchasing Managers' survey data from the UK is due on Tuesday, headlining a light day for the European economic news. At 1.45 am ET, Switzerland's State Secretariat for Economic Affairs releases final consumer confidence survey data. According to initial estimate, the confidence index fell to -40 in April from -9.4 in January.

Factory orders from Germany and final composite Purchasing Managers' survey from euro area are due on Wednesday, headlining a light day for the European economic news. At 2.00 am ET, Destatis is set to release Germany's factory orders for March. Economists forecast orders to fall 10 percent on month after falling 1.4 percent in February.

The major U.S. index futures are currently pointing to a higher opening on Friday, with stocks likely to extend the strong upward move seen in the previous session.

European stocks are seen opening flat to slightly higher on Thursday as coronavirus worries persist and China's trade data for April painted a mixed picture of the world's second-largest economy.

European stocks rose on Thursday as China exports data for April exceeded expectations and bleak U.S. data released overnight prompted calls for more government spending.

Asian stock markets are higher on Friday following the positive cues overnight from Wall Street on upbeat corporate earnings results and continued optimism about easing COVID-19 restrictions. A continued decrease in the number of new jobless claims in the U.S. also boosted sentiment. Investors now look ahead to the release of the U.S. jobs data for April later today.

Asian stocks pared early losses to end mixed on Thursday after data showed Chinese exports unexpectedly rose in April, aided by stronger shipments to South East Asia. The surprise helped investors shrug off dismal economic data from the U.S. and renewed U.S.-China tensions.

Foreign trade data from Germany is due on Friday, headlining a light day for the European economic news. At 2.00 am ET, Destatis is scheduled to issue Germany's external trade figures for March. Exports are forecast to fall 5 percent on month, in contrast to an increase of 1.3 percent in February. Imports are expected to drop 4 percent.

Japan will on Friday see March data for average household spending, highlighting a modest day for Asia-Pacific economic activity. Spending is predicted to sink 6.7 percent on year after easing 0.3 percent in February.

Learn how to get data from your Informix database and dump it in Spark so you can leverage it against other data sources and compile advanced analytics all that in Java. The targeted audience is Informix and non-Informix users seeking to bring RDBMS data into Spark.

Businesses can make IT operations smarter by reacting to weather events and automating operational decisions that factor in weather data. This article describes the steps to combine services to automate decisions that consider weather data by running business rules. The business decisions could result in actions such as sending notifications, adjusting prices, generating promotions, triggering IoT devices, or initiating business processes.