Five different business models for mobile fare payment apps are examined, as the world of apps used by transit agencies in the United States and Canada continues to steadily grow. The TRB Transit Cooperative Research Program's TCRP Synthesis 148: Business Models for Mobile Fare Apps documents current practices and experiences of transit agencies that offer mobile fare payment applications to transit riders. The report includes case examples from six cities: Santa Monica, Denver, Austin, Chicago, Dallas, ...

TRB’s Airport Cooperative Research Program (ACRP) Report 106: Being Prepared for IROPS: A Business-Planning and Decision-Making Approach describes a process to help justify airport planning, and funding decisions (capital, and operations and maintenance) related to supporting irregular operations (IROPS) contingency planning. The report presents a structured approach to quantifying the lifecycle economic value of proposed IROPS mitigation alternatives through a spreadsheet-based business-planning and dec...

Gov. Mike DeWine included dental offices in the first round of businesses that could reopen on May 1. The Centers for Disease Control and Prevention, the American Dental Association, and the Centers for Medicare and Medicaid Services have all issued warnings that non-emergency dental procedures should wait for now.

The National Academies/TRB Forum on Preparing for Automated Vehicles and Shared Mobility is hosting a webinar on Wednesday, May 13 at 2:00 – 3:30 PM Eastern to focus on the role of AV and Shared mobility in light of COVID-19. The online event is free and open to the public, but registration is required . Speakers include: Effect of COVID-19 on AVs , Annie Chang and Ed Straub of SAE International Effect of COVI19 on Shared Mobility , Susan Shaheen of University of California, Berkeley COVID-19 and New Par...

There are opportunities and challenges in implementing public–private partnerships at airports. The TRB Airport Cooperative Research Program's Conference Proceedings on the Web 26: Public–Private Partnerships: What Are the Lessons Learned? is a summary of the presentations and discussions at an ACRP Insight Event held July 10-11, 2019, in Washington, DC.  These in-depth, face-to-face gatherings are designed to promote communication and collaboration, foster innovation, and help identify areas of fut...

There are opportunities and challenges in implementing public–private partnerships at airports. The TRB Airport Cooperative Research Program's Conference Proceedings on the Web 26: Public–Private Partnerships: What Are the Lessons Learned? is a summary of the presentations and discussions at an ACRP Insight Event held July 10-11, 2019, in Washington, DC.  These in-depth, face-to-face gatherings are designed to promote communication and collaboration, foster innovation, and help identify areas of fut...

The National Academies/TRB Forum on Preparing for Automated Vehicles and Shared Mobility is hosting a webinar on Wednesday, May 13 at 2:00 – 3:30 PM Eastern to focus on the role of AV and Shared mobility in light of COVID-19. The online event is free and open to the public, but registration is required . Speakers include: Effect of COVID-19 on AVs , Annie Chang and Ed Straub of SAE International Effect of COVI19 on Shared Mobility , Susan Shaheen of University of California, Berkeley COVID-19 and New Par...

TRB's Airport Cooperative Research Program (ACRP) Research Report 191: A Primer to Prepare for the Connected Airport and the Internet of Things introduces the concept of the Internet of Things (IoT) within the airport environment to leverage current and emerging technologies. IoT can be used to provide information and services to airport passengers with current and evolving technologies. Airports, airlines, and other stakeholders can use these innovative technologies and data to enhance the user exp...

More airport operations/management academic programs at both the high school and community college levels would help the airport industry. With baby boomers currently reaching retirement age at the rate of 10,000 each day, and later generations much smaller in size, new employees are not entering the workforce swiftly enough to replace those leaving because of retirement, illness, and other complicating factors. As a result, the aviation industry, like others, is experiencing a significant labor shortage...

A new study indicates that, contrary to what has been previously argued, galaxies like our own may be the most likely place to find intelligent life

The post Galaxies Like the Milky Way are the Best for Life appeared first on Universe Today.

M0rphine ransomware removal instructions

What is M0rphine?

Similar to SatanCryptor ransomware, M0rphine is a malicious program. Credit for its discovery belongs to dnwls0719. Systems infected with this ransomware experience data encryption and receive ransom demands for the decryption tools/software. During the encryption process, all affected files are retitled according to this pattern: original filename, unique ID assigned to the victims, cyber criminals' email address and the ".M0rphine" extension. For example, a file like "1.jpg" would appear as something similar to "1.jpg. [ID-764E0CF4DF4828D6303F40B19514805A] -[EMAIL-M0rphine@cock.li].M0rphine" - following encryption. After this process is complete, a ransom note - "# M0rphine Help #.hta" is dropped into every compromised folder.

How to remove ConsoleLog from Mac?

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What is ConsoleLog?

ConsoleLog adware is designed to promote the Safe Finder website (by opening it through akamaihd.net), serve various advertisements and collect sensitive information. It is not common for users to download and install adware knowingly, intentionally. Therefore, ConsoleLog and other apps of this type are categorized as potentially unwanted applications (PUAs).

Aria-body virus removal guide

What is Aria-body?

Aria-body is a piece of malicious software, also known as Aria-body RAT (Remote Access Trojan). RATs allow remote access and control over an infected machine. Aria-body malware has various abilities/features that enable likewise varied misuse. It has been observed being employed primarily for stealing information; this trojan can locate and exfiltrate specific data. This malicious program has been used for espionage, extensively targeting the APAC (Asia Pacific) region. Aria-body has been leveraged against governmental institutions (e.g. science and technology, foreign affairs ministries, government-owned companies, etc.) of Australia, Indonesia, Brunei, Philippines, Vietnam, Myanmar and Thailand.

Privind prelungirea contractului de concesiune nr.11/12.10.2004 avand ca obiect exploatarea spaţiului in care funcţionează Cabinet Medical Medicină de Familie Dr.Simion Daniel, situat in Timişoara, str. Aluniş, nr.38, cabinet nr.2

Privind aprobarea operatiunii de rectificare a suprafetei imobilului inscris in CF nr.441128 Timisoara , de la 3065 mp (inscrisa in cartea funciara) la 2505 mp (suprafata masurata)

Privind prelungirea contractului de inchiriere nr.1581/15.05.2014 incheiat cu CABINET INDIVIDUAL DE AVOCAT GEORGIU RAMONA ALINA

Privind aprobarea contului de execuţie al bugetului local al Municipiului Timisoara la 31 Decembrie 2019

For cost-benefit analysis, the usual ballpark figure for the value of a life is about $10,000,000. But I keep hearing it suggested that when it comes to fighting a disease like Covid-19, which mostly kills the elderly, this value is too high. In other words, an old life is worth less than a young life. […]

For years, the Orleans Parish District Attorney's Office in Louisiana issued fake subpoenas to witnesses and crime victims. Unlike subpoenas used in ongoing prosecutions, these were used during the investigation process to compel targets to talk to law enforcement. They weren't signed by judges or issued by court clerks but they did state in bold letters across the top that "A FINE AND IMPRISONMENT MAY BE OPPOSED FOR FAILURE TO OBEY THIS NOTICE."

Recipients of these bogus subpoenas sued the DA's office. In early 2019, a federal court refused to grant absolute immunity to the DA's office for its use of fake subpoenas to compel cooperation from witnesses. The court pointed out that issuing its own subpoenas containing threats of imprisonment bypassed an entire branch of the government to give the DA's office power it was never supposed to have.

Allegations that the Individual Defendants purported to subpoena witnesses without court approval, therefore, describe more than a mere procedural error or expansion of authority. Rather, they describe the usurpation of the power of another branch of government.

The court stated that extending immunity would be a judicial blessing of this practice, rather than a deterrent against continued abuse by the DA's office.

The DA's office appealed. The Fifth Circuit Appeals Court took the case, but it seemed very unimpressed by the office's assertions. Here's how it responded during oral arguments earlier this year:

“Threat of incarceration with no valid premise?” Judge Jennifer Elrod said at one point during arguments. She later drew laughter from some in the audience when she said, “This argument is fascinating.”

“These are pretty serious assertions of authority they did not have,” said Judge Leslie Southwick, who heard arguments with Elrod and Judge Catharina Haynes.

The Appeals Court has released its ruling [PDF] and it will allow the lawsuit to proceed. The DA's office has now been denied immunity twice. Absolute immunity shields almost every action taken by prosecutors during court proceedings. But these fake subpoenas were sent to witnesses whom prosecutors seemingly had no interest in ever having testify in court. This key difference means prosecutors will have to face the state law claims brought by the plaintiffs.

Based upon the pleadings before us at this time, it could be concluded that Defendants’ creation and use of the fake subpoenas was not “intimately associated with the judicial phase of the criminal process,” but rather fell into the category of “those investigatory functions that do not relate to an advocate’s preparation for the initiation of a prosecution or for judicial proceedings.” See Hoog-Watson v. Guadalupe Cty., 591 F.3d 431, 438 (5th Cir. 2009)

[...]

Defendants were not attempting to control witness testimony during a break in judicial proceedings. Instead, they allegedly used fake subpoenas in an attempt to pressure crime victims and witnesses to meet with them privately at the Office and share information outside of court. Defendants never used the fake subpoenas to compel victims or witnesses to testify at trial. Such allegations are of investigative behavior that was not “intimately associated with the judicial phase of the criminal process.”

Falling further outside the judicial process was the DA's office itself, which apparently felt the judicial system didn't need to be included in its subpoena efforts.

In using the fake subpoenas, Individual Defendants also allegedly intentionally avoided the judicial process that Louisiana law requires for obtaining subpoenas.

The case returns to the lower court where the DA's office will continue to face the state law claims it hoped it would be immune from. The Appeals Court doesn't say the office won't ultimately find some way to re-erect its absolute immunity shield, but at this point, it sees nothing on the record that says prosecutors should be excused from being held responsible for bypassing the judicial system to threaten crime victims and witnesses with jail time.

Given all we know about facial recognition tech, it is literally jaw-dropping that anyone could make this claim… especially without being vetted independently.

A group of Harrisburg University professors and a PhD student have developed an automated computer facial recognition software capable of predicting whether someone is likely to be a criminal.

The software is able to predict if someone is a criminal with 80% accuracy and with no racial bias. The prediction is calculated solely based on a picture of their face.

There's a whole lot of "what even the fuck" in CBS 21's reprint of a press release, but let's start with the claim about "no racial bias." That's a lot to swallow when the underlying research hasn't been released yet. Let's see what the National Institute of Standards and Technology has to say on the subject. This is the result of the NIST's examination of 189 facial recognition AI programs -- all far more established than whatever it is Harrisburg researchers have cooked up.

Asian and African American people were up to 100 times more likely to be misidentified than white men, depending on the particular algorithm and type of search. Native Americans had the highest false-positive rate of all ethnicities, according to the study, which found that systems varied widely in their accuracy.

The faces of African American women were falsely identified more often in the kinds of searches used by police investigators where an image is compared to thousands or millions of others in hopes of identifying a suspect.

Why is this acceptable? The report inadvertently supplies the answer:

Middle-aged white men generally benefited from the highest accuracy rates.

Yep. And guess who's making laws or running police departments or marketing AI to cops or telling people on Twitter not to break the law or etc. etc. etc.

To craft a terrible pun, the researchers' claim of "no racial bias" is absurd on its face. Per se stupid af to use legal terminology.

Moving on from that, there's the 80% accuracy, which is apparently good enough since it will only threaten the life and liberty of 20% of the people it's inflicted on. I guess if it's the FBI's gold standard, it's good enough for everyone.

Maybe this is just bad reporting. Maybe something got copy-pasted wrong from the spammed press release. Let's go to the source… one that somehow still doesn't include a link to any underlying research documents.

What does any of this mean? Are we ready to embrace a bit of pre-crime eugenics? Or is this just the most hamfisted phrasing Harrisburg researchers could come up with?

A group of Harrisburg University professors and a Ph.D. student have developed automated computer facial recognition software capable of predicting whether someone is likely going to be a criminal.

The most charitable interpretation of this statement is that the wrong-20%-of-the-time AI is going to be applied to the super-sketchy "predictive policing" field. Predictive policing -- a theory that says it's ok to treat people like criminals if they live and work in an area where criminals live -- is its own biased mess, relying on garbage data generated by biased policing to turn racist policing into an AI-blessed "work smarter not harder" LEO equivalent.

The question about "likely" is answered in the next paragraph, somewhat assuring readers the AI won't be applied to ultrasound images.

With 80 percent accuracy and with no racial bias, the software can predict if someone is a criminal based solely on a picture of their face. The software is intended to help law enforcement prevent crime.

There's a big difference between "going to be" and "is," and researchers using actual science should know better than to use both phrases to describe their AI efforts. One means scanning someone's face to determine whether they might eventually engage in criminal acts. The other means matching faces to images of known criminals. They are far from interchangeable terms.

If you think the above quotes are, at best, disjointed, brace yourself for this jargon-fest which clarifies nothing and suggests the AI itself wrote the pullquote:

“We already know machine learning techniques can outperform humans on a variety of tasks related to facial recognition and emotion detection,” Sadeghian said. “This research indicates just how powerful these tools are by showing they can extract minute features in an image that are highly predictive of criminality.”

"Minute features in an image that are highly predictive of criminality." And what, pray tell, are those "minute features?" Skin tone? "I AM A CRIMINAL IN THE MAKING" forehead tattoos? Bullshit on top of bullshit? Come on. This is word salad, but a salad pretending to be a law enforcement tool with actual utility. Nothing about this suggests Harrisburg has come up with anything better than the shitty "tools" already being inflicted on us by law enforcement's early adopters.

I wish we could dig deeper into this but we'll all have to wait until this excitable group of clueless researchers decide to publish their findings. According to this site, the research is being sealed inside a "research book," which means it will take a lot of money to actually prove this isn't any better than anything that's been offered before. This could be the next Clearview, but we won't know if it is until the research is published. If we're lucky, it will be before Harrisburg patents this awful product and starts selling it to all and sundry. Don't hold your breath.

This seems to be something of a thing. Our last "Tales From the Quarantine" post focused on how television celebrities had taken to offering people help on Twitter with their virtual home decor in the latest Animal Crossing game. This post also involves Animal Crossing, but in a much more direct way. Due to the COVID-19 pandemic, there are enormous numbers of people who have suddenly found themselves without jobs or regular income. And, so, they've turned to irregular sources of income instead.

Ars Technica has an interesting interview with one of many people who have taken to the internet to indirectly sell Animal Crossing's "bells", the currency of the game.

In the midst of COVID-19, some New Horizons players are turning to World of Warcraft-style gold farming methods to make ends meet. In early April, Lexy, a 23-year-old recent college grad, created a Twitter account offering up bells (Animal Crossing’s in-game currency) for real-world cash (she requested we refer to her by a nickname to avoid potential reprisal from Nintendo). “I got laid off due to COVID so I'm farming bells in ACNH,” she wrote. “I really need to make rent this month so I'm selling 2 mil bells per $5, please message me if interested, I'll give you a discount the more you buy.”

Before setting up this unorthodox income stream, Lexy had been working at a supermarket while developing her animation portfolio. She began exploring the idea of turning bells into cash after showing friends just how much in-game income she’d been making. “One of them asked to legitimately buy some for me,” she recalled in a Twitter interview. “I did some research and found some people selling bells on sites such as eBay, but for pretty ridiculous prices.” (Current prices on eBay seem more competitive, with some sellers offering rare gold tools and gold nuggets to sweeten the deal).

The threat from Nintendo is probably real. After all, unlike some other games where people do this sort of thing, Nintendo's game doesn't include any method for selling in-game resources for real currency. Nintendo is also notoriously prudish about things like this. And, finally, to make an effective go at this sort of thing, it takes some manipulation of the console in a way that is somewhat controversial with gamers generally.

Understandably, Lexy adjusts the clock on her Nintendo Switch to speed up the game’s slow, “natural” money-making cycle of harvesting daily fruit, digging up bells from the ground, and planting a daily “money tree” that can yield big profits. This kind of in-game “time traveling” is controversial practice among casual Animal Crossing players, but it's a practical necessity to maximize real-world bell-farming profits.

As for how much money people like Lexy are bringing in, it's in the four figures, but she wasn't any more specific than that. Payments are made through digital apps like PayPal, after which she visits the game islands of others and deposits the bells.

That all of this is going on during a global pandemic that has some folks farming bells to make ends meet and others with apparently enough disposable income to be buyers is all, of course, deeply strange. But it's also just yet another way technology is having an impact on our lives during the COVID-19 pandemic.

Nobody reads this blog any more. But do read Kieran Healy.A fundamental lesson of Sociology is that, in the course...

No, you still can't edit tweets

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Tune in online this month to find out how to protect your business from data extortionists

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Even Exchange’s marketing bod reckons tests of new Reply-All-stopper could be a career-defining moment

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