Categories
Entertainment

In Meghan Markle & Prince Harry’s shock go to to the ladies’s group

Meghan Markle and Prince HarryThe charitable efforts continue as they recently supported an advocacy group focused on improving the lives of mothers and families.

Over the weekend, the famous couple spoke virtually to a storytelling group from MomsRising and praised attendees, E! News learned exclusively. The group holds meetings to promote change and awareness of important issues that women and mothers face.

“Meeting Prince Harry and Meghan was a huge boost for MomsRising members, some of whom are struggling with no work, childcare, paid vacation, health care and other essentials during the pandemic,” said MomsRising, Executive Director and CEO Kristin Rowe-Finkbeiner says E! News in a statement. “The Duke and Duchess were kind, compassionate, and incredibly supportive, both on a personal level and with respect to the guidelines that would help put their lives back on track.”

The executive continues: “The Duchess has also reminded us that, especially in times of self-doubt, we should take the opportunity to see ourselves through the eyes of our children. For our children, we are superheroes. That has happened to so many really found a response. ” us.”

Categories
Sport

Michigan vs. UCLA-Punktzahl: Bruins überleben einen weiteren sofortigen Klassiker und erreichen Closing 4

Für das zweite Spiel in Folge hat die UCLA ein äußerst beliebtes Team in einem sofortigen klassischen Spiel überholt, um im NCAA-Turnier 2021 voranzukommen.

Diesmal schlugen die 11-Seed-Bruins Michigan 51-49 mit 1-Seed, um zu den Final Four aufzusteigen. Die Geschichte dieses UCLA-Teams wird einige Zeit in Westwood erzählt, und Johnny Juzang (28 Punkte, 11 von 19 Schüssen, zwei Abpraller) wird ein oder zwei Kapitel für sich haben. Er war eindeutig der dominanteste Spieler auf dem Platz, selbst nachdem er sich zu Beginn der zweiten Halbzeit einen Knöchel verdreht hatte, wodurch Michigan die Lücke schließen konnte.

Er war jedoch nicht der einzige Schlüsselspieler: Tyger Campbell erzielte ebenfalls 11 Punkte und Jules Bernard stellte zwei große Körbe her – zumindest seinen ersten seit dem Spiel in Alabama -, um die Bruins darin zu halten. Die Verteidigung der Bruins war ebenfalls unglaublich und hielt die Wolverines – die normalerweise über 50 Prozent schießen – auf 39,2 Prozent. Das sind 27,3 Prozent aus 3-Punkte-Land. Die UCLA weigerte sich auch, Hunter Dickinson die Farbe dominieren zu lassen, da er sich daran gewöhnt hat.

Zu ihrer Ehre erlaubten die Wolverines der UCLA nicht, damit davonzulaufen, selbst wenn die Führung der Bruins auf neun anstieg. Dickinson hatte 11 Punkte beim 5-of-10-Schießen, während Franz Wagner vier Punkte und acht Rebounds hatte. Kein anderer Spieler erzielte ein zweistelliges Ergebnis. Trotzdem hatte Michigan die Chance, im endgültigen Besitz des Spiels zu gewinnen. Mike Smith hatte nur noch Sekunden Zeit, um eine potenzielle 3 zu erreichen. Der Schuss verfehlte, aber die Wolverines hatten noch einen Schuss auf einen Catch-and-Shoot, nachdem die UCLA ihn aus dem Ruder gelaufen hatte. Wagner schaffte den dritten Versuch, aber er klapperte von der Felge und gab der UCLA den Sieg.

Sporting News verfolgte im NCAA-Turnier 2021 Aktualisierungen und Highlights von Michigan gegen UCLA. Folgen Sie unten, um die vollständigen Ergebnisse des Elite Eight-Spiels zu erhalten.

Michigan vs. UCLA Score

1H 2H Finale
UCLA 27 24 51
Michigan 23 26 49

MEHR MÄRZ WÜTEND: Live-Partituren | Aktualisierte Klammer | Fernsehprogramm

Michigan vs. UCLA Live-Updates, Highlights von Elite Eight

Alle Zeiten östlich

Zweite Hälfte: UCLA 51, Michigan 49

12:06 Uhr: Wagner bekommt den Schuss ab … und verfehlt! Die UCLA hat ein weiteres Comeback zurückgehalten, diesmal von 1-Seed Michigan. Sie gehen in den Final Four tanzen!

12:03 Uhr: Hier ein Catch-and-Shoot. Jetzt nimmt die UCLA ihre letzte Auszeit bis 51-49. Wolverines haben ihre letzten sieben Schüsse verpasst. Werden sie den machen, der zählt?

12:02 Uhr: Smiths potenzieller Summer schlägt 3 Rasseln aus. Die Beamten wollen nun sehen, wie viel Zeit noch übrig ist, nachdem die UCLA die Grenzen überschritten hat. es sieht so aus, als ob noch eine halbe Sekunde übrig sein wird.

Mitternacht: Juzang verpasst den zweiten Schuss! Michigan hat noch 6,0 Sekunden Zeit, um den Ball zu binden oder alles zu gewinnen. Wolverines haben gerade ihre letzte Auszeit genutzt, das ist also alles, was noch übrig ist.

23:59 Uhr: Wenn Juzang diesen zweiten Schuss bekommt … wird Cronin diesmal tatsächlich drei beschmutzen?

23:58 Uhr: Juzang macht den ersten, der es schafft 51-49 UCLA. Howard nimmt sich eine Auszeit, um ihn zu vereisen.

23:58 Uhr: Juzang ist derjenige, der das Eins-und-Eins gefoult hat. Er schießt dieses Jahr über 90 Prozent aus dem Charity-Streifen. Es sind noch 6,3 Sekunden übrig. UCLA führt 50-49.

23:57 Uhr: Michigan forderte ein Foul vor dem eingehenden Pass. Noch eine zu geben.

23:56 Uhr: Wagner Airballs eine 3 und Brooks kann den Putback nicht bekommen. UCLA hat den Ball und jetzt muss Michigan zwei weitere Fouls geben, um sie auf die Linie zu bringen. Es sind noch 6,8 Sekunden übrig.

23:54 Uhr: Jaquez verpasst die Ecke 3 und gibt Michigan den Ball mit 19,8 Sekunden übrig. Jede Punktzahl gibt Michigan die Führung.

Die Schussuhr ist aus. Timeout Wolverines.

23:52 Uhr: Timeout UCLA mit noch 35,9 Sekunden. Etwas zu beachten: Michigan hat nur vier Teamfouls, daher möchten die Wolverines möglicherweise in Betracht ziehen, die UCLA zu hacken.

23:52 Uhr: Er rasselt im zweiten; 50-49 UCLA.

23:52 Uhr: Wagner macht den ersten. Es ist 50-48 UCLA.

23:51 Uhr: Wagner geht an die Freiwurflinie mit dem Potenzial, daraus ein Ein-Punkt-Spiel zu machen. Riley verschmutzt die UCLA mit 44 Sekunden Vorsprung.

23:50 Uhr: Juzang schießt unter den Korb und trifft mit weniger als einer Minute Vorsprung auf Dickinson. Es ist 50-47 UCLA.

23:49 Uhr: Dickinson kann den Eimer mit Riley in der Verteidigung nicht bekommen, aber Michigan bekommt den Ball nach einem Unentschieden vom Ballbesitzpfeil.

23:45 Uhr: Jetzt ist die UCLA von einer Verletzung der Schussuhr betroffen. Es ist Michigans Ball, der mit 2:26 aus dem Medien-Timeout kommt.

23:45 Uhr: Wagner vermisst einen guten Blick auf den Korb. Michigan immer noch Wanderwege 48-47 mit zweieinhalb zu gehen.

23:43 Uhr: Jules Bernard von der UCLA trifft seinen zweiten Eimer in ebenso vielen Besitztümern. Das waren seine ersten Marken, zumindest seit dem Spiel in Alabama.

23:43 Uhr: Dickinson macht den zweiten von zwei Freiwurfversuchen und bringt Michigan mit 47: 46 in Führung, viereinhalb Minuten vor dem Ende der regulären Spielzeit.

23:41 Uhr: Es gibt noch einen Michigan 3, diesen von Brown. Damit liegt es bei 46. Michigan hat jetzt 15 Punkte von der Bank im Vergleich zu Null für die UCLA.

23:37 Uhr: Davis wird zu einer Reise gerufen, nachdem Juzang die Führung für die UCLA zurückerobert hat. Es wird Bruins Ball sein, der mit 6:13 im Spiel aus dem Medien-Timeout kommt.

23:36 Uhr: Ein Mike Smith 3 hat Michigan seine erste Führung seit 17-16 gegeben. Michigan führt 43-42 mit weniger als sieben Minuten verbleibend. Es ist sein erster Korb des Spiels.

23:33 Uhr: Hervorragende Verteidigung von Brandon Johns Jr., um einen Juzang Fastbreak Layup-Versuch zu blockieren. Bruins haben den Ball hoch 40-38 mit 9:20 verbleibenden.

23:31 Uhr: Austin Davis bekommt ein und eins, um die Wolverines innerhalb von zwei Punkten zu bringen 38-36. Riley nimmt sein drittes Foul auf.

23:26 Uhr: Cody Riley bringt die UCLA mit einem Haken über Dickinson wieder auf das Brett. Das macht es 36-33 UCLA. Michigan forderte ein offensives Foul am darauffolgenden Ballbesitz und gab den Bruins den Ball nach dem Medien-Timeout. Cronins Timeout scheint wie beabsichtigt zu funktionieren.

23:21 Uhr: Brooks bekommt zwei Eimer, um Michigan auf einen zu bringen 34-33. Das ist ein 8: 0-Lauf in Michigan, bei dem kurz vor dem Medien-Timeout ein Mick Cronin-Timeout erzwungen wird. Er versucht eindeutig, Michigans Fluss zu stören.

23:20 Uhr: In der Zwischenzeit versucht Michigan weiterhin, die Farbe mit Dickinson zu bearbeiten. Er hat auf keinem von Michigans letzten Besitztümern getroffen.

23:19 Uhr: Nwuba forderte ein weiteres Foul an Dickinson. Das ist sein zweiter in so vielen Besitztümern. Er hat drei Fouls und Nullpunkte.

23:16 Uhr: Ein Trainer hat inzwischen Juzangs Knöchel neu abgeklebt. Er ist wieder auf dem Boden. Michigan hat seine Abwesenheit mit einem kleinen 4: 0-Lauf optimal genutzt.

23:14 Uhr: Kenneth Nwuba von der UCLA forderte ein Sperrfoul an Dickinson; In der ersten Halbzeit übernahm er beide Anklagen von Michigan, und Dickinson scheint mit der Umkehrung ziemlich zufrieden zu sein.

23:12 Uhr: Michigan erhöht jetzt den Druck mit einer Vollgerichtspresse.

23:11 Uhr: Wagner verpasst zwei Freiwürfe am anderen Ende des Fußbodens, aber eine bedeutende Entwicklung: Juzang verlässt das Spielfeld und humpelt schwer mit einigen Problemen am rechten Knöchel.

23:09 Uhr: Nicht zu unterschätzen: Michigan hat 10 Umsätze in diesem Spiel, weit über dem, was sie gewohnt sind aufzugeben. Das und die Unfähigkeit der Wolverines, in der Farbe zu punkten, haben sie hier früh gekostet.

23:08 Uhr: Michigans Eli Brook wird wegen eines … fragwürdigen … Fouls an Juzang gerufen, der es in einem “Schussversuch” recht gut verkauft hat. Er versenkt alle drei Schüsse, um es innerhalb von 18 Minuten auf 34-25 UCLA zu schaffen.

23:06 Uhr: Ein weiterer 7-Fuß-Eimer von Campbell, der mit Dickinson im Gesicht gut verteidigt wurde.

23:05 Uhr: UCLA verschwendet keine Zeit mit einem Campbell-Eimer in 15 Sekunden in der Hälfte. Die Bruins bauen ihren Vorsprung auf sechs aus, den höchsten des Spiels.

Erste Hälfte: UCLA 27, Michigan 23

22:46 Uhr: Statistiken für die erste Hälfte:

  • Feldziele: UCLA 11 von 28 (39,3 Prozent); Michigan 10 von 25 (40 Prozent)
  • 3-Punkt-Schießen: UCLA 3 von 8 (37,5 Prozent); Michigan 1 von 5 (20 Prozent)
  • Freiwurfschießen: UCLA 2 von 2 (100 Prozent); Michigan 2 von 4 (50 Prozent)
  • Rebounds: UCLA 15; Michigan 17
  • Hilft: UCLA 7; Michigan 7
  • Stiehlt: UCLA 3; Michigan 3
  • Umsätze: UCLA 5; Michigan 9
  • Größter Vorsprung: UCLA 4; Michigan 7

Außerdem: Johnny Juzang sieht mit beachtlichem Abstand wie der beste Spieler auf dem Boden aus. Er hat 18 Punkte beim 8-von-10-Schießen und einen Abpraller. Er raucht absolut die Wolverines. Nur zwei andere Bruins haben getroffen: Jaquez (vier Punkte) und Campbel (fünf Punkte).

22:44 Uhr: Smith verpasst beide Versuche und erzielt die Halbzeitbilanz 27-23 UCLA. Es ist das erste Mal, dass die Wolverines zur Halbzeit dieses Turniers gescheitert sind.

22:43 Uhr: Michigan erzwingt einen Stopp des letzten Verteidigungsbesitzes der UCLA in der ersten Halbzeit, und Mike Smith streift mit einem Fastbreak über das Spielfeld. Er ist beim Schießen gefoult und wird zwei Freiwürfe mit noch 1,2 Sekunden auf der Uhr versuchen.

22:39 Uhr: Tyger Campbell bricht Juzangs Torsträhne mit einer Ecke 3 ab. Das macht es 27-23 UCLA mit 1:08 in der Hälfte übrig.

22:38 Uhr: Zwei weitere Juzang-Eimer. Er hat jetzt 18 Punkte beim 8-von-10-Schießen und macht sieben aufeinanderfolgende Eimer für die UCLA. Keine der beiden Verteidigungen wird gestoppt.

22:37 Uhr: Und jetzt wurden Dickinson und Wagner wegen aufeinanderfolgender Fahrten nach Michigan angeklagt. Ich kann so früh nicht in üble Schwierigkeiten geraten.

22:36 Uhr: Jaquez versenkt sie beide, um der UCLA eine zu geben 18-17 führen.

22:32 Uhr: Wagner wird für ein Foul an Jaquez mit 3:40 in der Hälfte gerufen. Er wird zwei Freiwürfe versuchen, um der UCLA einen Vorsprung zu verschaffen, wenn das Spiel aus dem Medien-Timeout herauskommt.

22:30 Uhr: Michigan hat keine Antwort für Juzang. Jaquez schlägt ihn mit einem Assist und er legt sich in Tradition. Er schafft es 17-16 Michigan. Das sind 12 direkte Punkte für ihn (und die UCLA).

22:27 Uhr: Juzang trifft eine weitere lange 2, um 10 für die Bruins zu erzielen und die Punktzahl auf zu bringen 15-14 Michigan.

22:20 Uhr: Weitere 3 von Juzang, der jetzt 4 für 6 beim Medien-Timeout ist. Er hat 10 Punkte und hat die Punktzahl auf gebracht 15-12 Michigan.

22:19 Uhr: Ein weiterer Juzang-Eimer, dieser für 3. Er macht es 13-9 UCLA mit aufeinanderfolgenden Ergebnissen.

22:18 Uhr: Und da ist wieder Juzang mit einem anderen Eimer, um Michigans Lauf zu brechen. Er hat vier der sechs Punkte der UCLA.

22:16 Uhr: Ein Chaundee Brown Jr. 3-Zeiger macht es 11-4 Michigan und gibt den Wolverines einen 9: 0-Lauf.

22:11 Uhr: Michigan führt 8-4 beim zweiten Medien-Timeout. Nicht gerade punkten wie Gonzaga da draußen.

22:09 Uhr: Beide Teams haben drei Umsätze und schießen ungefähr sieben Minuten nach Spielbeginn weniger als 50 Prozent. Michigan führt 6-4 aber es ist hässlich früh.

22:02 Uhr: Johnny Juzang mit dem Jumper, um UCLA auf das Brett zu bekommen und binde es bei 2-2. Beide Teams sehen in den ersten Minuten etwas rostig aus und schießen den Ball.

21:59 Uhr: Michigans Brandon Johns Jr. bekommt den Steal und punktet beim Fastbreak, um mit dem Scoring zu beginnen 2-0 Wolverines.

Wie man Michigan gegen UCLA sieht

Das Elite-Acht-Spiel am Dienstag zwischen Gonzaga und USC soll nach dem Abschluss von Gonzaga gegen USC um 21.57 Uhr (18.57 Uhr) beginnen.

Es wird landesweit auf TBS mit Brian Anderson, Jim Jackson und Allie LaForce ausgestrahlt. Sie können das Spiel auf March Madness Live streamen, der Online-Startseite jedes 2021 NCAA-Turnierspiels.

March Madness Final Four Zeitplan 2021

Samstag, 3. April

Spiel Zeit (ET) Fernseher
Nr. 1 Baylor gegen Nr. 2 Houston 17 Uhr CBS, fuboTV
Spiel 66 20:30 Uhr CBS, fuboTV

Nationale Meisterschaft des NCAA-Turniers

Montag, 5. April

Spiel Zeit (ET) Fernseher
Spiel 67 21 Uhr CBS, fuboTV
Categories
Technology

Why robots are nice surgeons and crappy nurses

Robotic surgical systems are used in thousands of hospitals around the world. A decade ago, bulky machines were built to support routine operations. Today they are able to perform end-to-end operations without human assistance.

The recent leaps in deep learning have made difficult tasks such as surgery, electronics assembly, and piloting a fighter jet relatively easy. It can take a decade to train a person in all of the medical skills required to perform brain surgery. And these costs are the same for each subsequent human surgeon. Approximately the same investment is required for every human surgeon.

But AI is different. The initial investment in building a robotic surgery device is large, but it changes once you’ve built a working model. Instead of having 8-12 years to create a human specialist, factories can be built to mass-produce AI surgeons. Over time, the cost of maintaining and operating a surgical machine – a machine that can operate 24 hours a day, 365 days a week without drawing a paycheck – would likely become trivial compared to maintaining a human surgical staff.

That is not to say that there will be no room for human surgeons in the future. We always need human experts who are able to inform the next generation of machines. And there are some techniques that go beyond the capabilities of modern AI and robotics. But surgery, like any other precision-based endeavor, is within the realm of modern AI.

Surgery is a specialized skill and, in large part, robots excel at automating tasks that require more precision than creativity. And that’s exactly why robotic surgeons are the order of the day, but we are probably decades away from being a fully functional, AI-powered nurse.

And that’s exactly why the AI ​​didn’t have much of an impact during the pandemic. When COVID-19 first hit, there was a lot of optimism that big tech would save the day with AI. The idea was that companies like Google and Microsoft would develop incredible contact tracing mechanisms that would allow us to customize medical responses at an extremely detailed level. As we jointly suspected, this would lead to a shortened pandemic.

We were wrong, but only because the AI ​​actually had nothing to do. Where it could help to aid the rapid development of a vaccine, it did. However, the vast majority of our problems in hospitals had to do with things that a modern robot cannot fix.

What we needed during the last patient summit was more human nurses and PPE for them. Robots cannot look around and learn like humans, they have to be trained to do exactly what they are going to do. And that’s just not possible in huge emergency situations where, for example, the layout of a hospital changes to accommodate an increase in the number of patients and where huge amounts of new equipment are introduced.

Researchers at John Hopkins University recently conducted a study to find out what we need to do so that robots can help healthcare professionals with future pandemics. According to them, modern robots are not up to the task:

A big issue was deployability and how quickly an inexperienced user can customize a robot. For example, our intensive care ventilation robot was designed for a type of ventilator that pushes buttons. However, some ventilators have buttons, so we need to be able to add a modality so that the robot can manipulate buttons as well. Suppose you want a robot that can service multiple ventilators. Then you would need an arm-mounted mobile robot, and that robot could do many other useful tasks on the hospital floor as well.

That’s all well and good when things go perfectly. But what happens when the button pops off or someone introduces a new type of machine with a toggle or a touchscreen? Humans have no problem adapting to these situations, but a robot would need entirely new accessories and a training update to compensate for this.

In order for developers to create a “nurse robot,” they need to anticipate everything a nurse encounters on a daily basis. Good luck with it.

AI and machines can be customized to perform specific maintenance-related tasks, such as: B. the support with the admission or the recording and monitoring of the vital functions of patients. However, there is no machine in the world that can perform the daily routine functions of a typical hospital staff nurse.

Nurses spend most of their time responding to real-time situations. At one shift, a nurse interacts with patients, setting up and dismantling equipment, handling precision instruments, carrying heavy objects through human-filled rooms, solving puzzles, taking meticulous notes, and acting as a liaison between medical staff and the general public.

We have the answer to most of these problems individually, but putting them together into a mobile unit is the problem.

This Boston Dynamics robot, doing backflips for example, could certainly navigate a hospital, carry things, and avoid injury or damage. However, there is no way to know where a doctor accidentally left the table they need to update their protocols, how to calm a frightened patient, or what to do if an immobile patient misses the bedpan.

Published on March 30, 2021 – 17:58 UTC

Categories
Science

Replace on Michael Mann vs. Mark Steyn Litigation – Watts Up With That?

From the Manhattan Contrarian.

March 29, 2021 / Francis Menton

In my last post a few days ago, I cited Michael Mann’s libel lawsuit against Mark Steyn as an example of an abusive litigation attempting to use the cost of legal proceedings to suppress public debate on an important issue. The lawsuit was originally filed in October 2012. Other defendants in the case include National Review (where Steyn published the blog post that is the subject of the lawsuit), Competitive Enterprise Insititute (who published another blog post that Steyn used as the basis for his own post), and Rand Simberg (Author of the CEI blog post).

The tortured story of this case shows very well how difficult it is to strike a good balance between, on the one hand, the law of defamation as a mechanism for people to defend themselves against false statements that could ruin their reputation, and, on the other hand, an extremely expensive process that can be used as a weapon by those in power to threaten bankrupt political opponents and thereby silence the debate on important issues of public interest.

To refresh your memory, here is the key quote from the Steyn 2012 blog post that the man claims is defamatory:

Michael Mann was the man behind the fraudulent “hockey stick” diagram of climate change, the ringmaster of the tree ring circus. And when the East Anglia emails came out, Penn State felt it was necessary to “investigate” Professor Mann. Graham Spanier, the president of Penn State who was forced to resign over Sandusky, was the same bay that Mann was investigating. And as with Sandusky and Paterno, the college declined to find any of its stars guilty. If an institution is willing to cover up systematic rape of minors, what will it not cover up? Regardless of whether he is “Jerry Sandusky of Climate Change” or not, he remains the Michael Man of Climate Change, partly because his “investigation” by a deeply corrupt government was a joke.

Mann’s central claim in his case against Steyn is that this passage is defamatory because the graphic “hockey stick” is not “fraudulent”; and therefore Steyn’s statement that the graph is “fraudulent” is wrong.

Notably, it is not until eight and a half years after this case that the truth or falsity of the claim that the “hockey stick” graphic is fraudulent is addressed. The issue was finally addressed in a motion filed by Steyn on January 22 for a summary of the judgment – albeit almost incidentally, in a motion that dealt with many other issues; and then the problem was addressed in much greater detail in a response from Steyn to a motion for a summary judgment by Mann filed by Steyn on March 3rd. I received a copy of the March 3rd submission but couldn’t find a link to do it online.

The Steyn Motion Papers show three ways the hockey stick diagram is fraudulent. Most convincing is Mann’s deletion of certain adverse data that would have destroyed the clean shape of the “hockey stick” of the chart. The graph shows a reconstruction of world atmospheric temperatures from around 1050 to 2000, with temperatures being flat or slightly declining over the first 900 years, followed by a strong upward movement over the past 50 years. The 900 year flat period was derived from several tree ring data collections, one of which was provided by a fellow Mann named Keith Briffa. However, in recent years (after 1960) the Briffa series has shown a drop in temperature – an uncomfortable fact that would have severely undermined the intended visual impact of the graphic. Mann then simply decided to delete the portion of the Briffa data after 1960 while the rest was still in use. From the Steyn filing of March 3rd:

The [Hockey Stick graph as published in the IPCC’s Third Assessment Report in 2001, in a portion written by lead author Mann] Omitted Baumring proxy data by climate researcher Keith Briffa showing a drop in temperature after 1960, a message inconsistent with the hockey stick’s cherished shape. . . . The IPCC TAR has not announced the deletion of this data. . . . As the lead author, Mann decided to leave out the Briffa data without input from his other lead authors. . Mann’s own staff warned him about the deletion. Chris Folland, co-coordinator of the IPCC TAR coordination, wrote to Mann that Briffa’s data “contradicts the multiproxy curve and dilutes the message quite severely”. . . Briffa herself urged Mann not to “succumb to the” pressure to present a nice, tidy story “through” ignorance “[ing]Its results after 1960.. . . Mann agreed with them on the matter, but complained about the political implications of the data: “[I]f we show Keith’s series. . . Skeptics [will] I wish you a nice day. “. . . To prevent a “skeptic field day”, he decided to delete the data.

You’d think this is as clear a demonstration of scientific fraud as it gets. And as already mentioned, this is only one of three cases of fraud in the hockey stick graphic detailed in Steyn’s filing on March 3rd. The other two relate to: (1) “cherry picking” data in choosing proxy data series to indicate a flat to decreasing temperature trend from 1050 to 1950 simply by not using any of the many available series that indicate the existence of a ” Medieval Warm Period “which is warmer than the present; and (2) a misinterpretation of a series to use the results upside down and then, when the error has been pointed out, continue to use the series in this way for the sake of the desired supports visual presentation.

Anyway, you can throw at least one more letter into this mix and then we’ll wait for the court’s decision. As clearly as this emerges from the extract I have provided, the court’s decision could only become known at the end of the year. If the summary judgment is rejected, a trial takes place. Another possibility is for the court to give a summary judgment to Mann as the plaintiff. I find this possibility almost too ridiculous to consider, but the fact is that the human mind loses almost all rational faculties when things become politicized like “climate change”.

And then there is another question: where has this case been in the past eight years? The answer is that the National Review and CEI (but not Steyn) tried to sack it under the District of Columbia “anti-SLAPP” statute. (“SLAPP” stands for Strategic Lawsuit Against Public Participation.) Readers may be interested to know what this is and how it could distract such a case for so long without ever resolving anything.

Anti-SLAPP statutes are a state-level response to the perceived abuse of libel disputes by those in power to suppress public debate. 28 states have them, including all major states; and of course the District of Columbia. The DC statute wasn’t enacted until 2012, just months before Mann made his claim. Although the anti-SLAPP statutes vary widely from state to state, the DC statute is fairly typical of protecting the “right to advocate on matters of public interest”. Here is the relevant text:

A party may make a specific motion to dismiss a claim arising out of an act to promote the right to legal counsel on matters of public interest. . . . If a party filing a specific dismissal motion under this section proves, at first glance, that the claim in question resulted from an act to promote the right to advocacy in matters of public interest, the motion will be granted, provided that the responding party this does not demonstrate that the claim is likely to be successful on the merits; in this case the application will be rejected.

It is clear from the text that this statute should block exactly what Mann is trying to achieve in this case. And yet the applications from NR and CEI were unsuccessful. The court denied the motions and the DC appeals court upheld it. There was then an attempt by NR and CEI to get the Supreme Court to hear the case, but this was also denied because Justice Alito disagreed. When that motion was denied it was in 2019. The explanation – if you want to put it that way – why the SLAPP filings were lost is in the 2016 DC Court of Appeal ruling. The Opinion goes on and on (and on and on) but mostly gets tangled in knots trying to differentiate between expressions of opinion (which are unworkable) and statements of fact (which may be workable) and mixed expressions of opinion and fact, and trying to figure out with which category we are dealing with here. It’s all extremely inexplicable. If your hypothesis was that this was just the DC Court of Appeals providing cover for a really full political decision, I couldn’t prove you wrong.

Read the full article here.

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Categories
Technology

Scientists used AI to hyperlink crypto markets to drug addicts on Reddit and Twitter

An international team of researchers recently developed an AI system that brings together information from dark web crypto markets, Twitter and Reddit to better understand drug addicts.

Don’t worry, it won’t track sales or expose users. It helps scientists better understand how drug addicts feel and what terms they use to describe their experience.

The relationship between mental health and substance abuse is well studied in clinical settings, but how users discuss and interact with one another in the real world remains outside the scope of most scientific studies.

According to the team’s paper:

Recent Global Drug Survey results suggest that the percentage of respondents who bought drugs through crypto markets has tripled since 2014, reaching 15 percent of respondents in 2020 (GDS).

In this study, we evaluate social media data from active opioid users to understand what behaviors are associated with opioid use to determine what types of feelings are expressed. We use deep learning models to carry out sentiment and emotion analyzes of social media data with the active ingredients derived from crypto markets.

The team developed an AI to search three popular crypto markets selling drugs to uncover differentiated information about what people have searched for and bought.

They then scoured popular drug-related subreddits on Reddit such as r / opiates and r / drugnerds for posts related to crypto market terminology in order to collect emotional feelings. While the researchers struggled to collect enough Reddit posts with easily flagged emotional feelings, they found Twitter posts with relevant hashtags to fill in the gaps.

The end result was a data horn that enabled the team to determine a robust analysis of emotional mood for various substances.

In the future, the team hopes to find a way to gain better access to dark web crypto markets in order to create stronger sentiment models. The ultimate goal of the project is to help health professionals better understand the relationship between mental health and substance abuse.

According to teamwork:

Determining the best strategies to reduce opioid abuse requires a better understanding of crypto-market drug sales that affect consumption and how they reflect discussions on social media.

Published on March 30, 2021 – 21:03 UTC

Categories
Health

The USA and 13 different nations are criticizing the WHO’s China Covid report

This photo taken on Feb. 17, 2020 shows medical workers working at an exhibition center that has been converted into a hospital in Wuhan, central China’s Hubei Province.

STR | AFP via Getty Images

WASHINGTON – The United States on Tuesday signed a joint statement with 13 other nations criticizing the World Health Organization’s long-awaited report on the origins of Covid-19.

In a joint statement, the governments of Australia, Canada, the Czech Republic, Denmark, Estonia, Israel, Japan, Latvia, Lithuania, Norway, South Korea, Slovenia, the United Kingdom and the United States wrote that the report “was severely delayed and lack of access to complete original data and samples. “

“In the event of a major outbreak of an unknown pandemic pathogen, rapid, independent, expert-led and unhindered origin assessment is critical to better prepare our employees, our public health facilities, our industries and our governments for a successful response to it Outbreak and prevent future pandemics, “the joint statement said.

“In the future, WHO and all Member States must reassign themselves to access, transparency and timeliness,” the group added.

The WHO’s 120-page report, published Tuesday and produced by a team of international scientists, helped improve the scientific community’s understanding of the deadly virus that was conquering the world, but it fell short of a full assessment back.

“We have not yet found the source of the virus and we must continue to follow science and leave no stone unturned,” said WHO Director General Tedros Adhanom Ghebreyesus during a press conference on Tuesday.

“Finding the source of a virus takes time and we owe it to the world to find the source so we can take action together to reduce the risk of its recurrence. No single research trip can provide all the answers,” he added .

At the White House, press secretary Jen Psaki told reporters that the Biden administration was still examining the WHO report and that the results were “partial and incomplete”.

“The report lacks critical data, information and access. It presents a partial and incomplete picture,” said Psaki. “There is a second phase in this process that we believe should be led by international and independent experts. They should have full access to data,” she added.

Psaki criticized Beijing’s lack of transparency when asked about China’s participation in the WHO report, which was attended by at least 17 experts.

“Well, they weren’t transparent. They didn’t provide any underlying data. That is certainly not a cooperation,” she said.

Categories
Entertainment

Confrontation between Quavo & Saweetie caught on elevator video

Quavo and Saweetie recently quit their three-year relationship, and while the details of their split were poorly known, the two had a heated exchange on social media that was all chatting just a few weeks ago. Once again, the two made headlines when footage of a previous argument between them surfaced online.

TMZ received surveillance footage from an elevator in an apartment complex where both Saweetie and Quavo are involved in some sort of altercation. Sources close to the situation told TMZ that the incident occurred in an apartment building where Saweetie lived in 2020.

At the beginning of the video, the two are standing in front of an open elevator when Saweetie apparently attacks Quavo. Saweetie then grabs an orange suitcase from the elevator and tries to get out. Quavo apparently grabs her arm and swings her into the elevator.

For the duration of the video, Saweetie remains seated on the floor and when the elevator finally stops, Quavo grabbed the orange suitcase and got out, followed by Saweetie.

Saweetie announced that she was only single a few weeks ago, and social media went crazy when she met Quavo with the line “take care of yourself”. The two have not spoken publicly about their breakup since then, but have been quite active online as the Migos prepped for their next album and Saweetie stays booked and busy!

For the full video of the elevator encounter, visit http://www.TMZ.com, Roomies!

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Categories
Sport

Toronto Blue Jays play the third homestand on the Florida baseball stadium

DUNEDIN, Florida – The Toronto Blue Jays will be playing their third homestand of the season at their Spring Training Ballpark in Dunedin, Florida due to COVID-19 restrictions.

Toronto announced on February 18 that its first two home countries would be at TD Ballpark, and on Tuesday they added 10 games against Philadelphia, Boston and Tampa Bay from May 14-24.

So far, 22 of 81 home games have been moved from the Rogers Center to Florida. Toronto hopes to return home sometime in 2021.

Another possible home game location is Sahlen Field, home of the team’s Buffalo Bisons Triple-A Farm Club. The Blue Jays played home games in Buffalo in the shortened 2020 season and stood there with 17: 9.

The TD Ballpark in Dunedin has space for around 8,500 fans and was extensively renovated in 2019-20. The Blue Jays intend to limit the capacity to 15%.

Toronto last played on September 29, 2019 at the Rogers Center with a capacity of 49,000, an 8-3 win over Tampa Bay.

Toronto said that weekday games in Dunedin will start at 7:07 p.m. instead of 6:37 p.m., Saturday games will start at 7:07 p.m. instead of 3:07 p.m., and escape day games will start at 1:07 p.m.

The Blue Jays open on Thursday in the New York Yankees and the Los Angeles Angels host their home opening game on April 8th.

Categories
Science

Mars spiders kind as spring arrives on Mars. However why?

A person suffering from arachnophobia might think that a trip to Mars would fuel their fear. However, there is such a thing colloquially known as a Mars spider. It’s far more harmless than the eight-legged animal that scares millions of people, but its origins were only theorized until recently. Now a team led by a group at Trinity College Dublin has discovered that these “spiders” are, in fact, topological troughs that result when dry ice sublimates directly into a gas.

The “spiders” or, to give them their real name, “araneiforms” have been known for some time. These features of the spider life of the Martian terrain form in the spring, but they are not known to form on Earth. Araneiforms have been recorded by various satellites orbiting Mars over the past 20 years. Their transitory nature makes them particularly interesting to scientists who want to better understand Mars’ seasonality and weather patterns.

Araneiforms can be seen on Mars’ South Pole Cap in two high-resolution MOC images that were taken in the southern spring. Each picture is approximately 2 miles wide.
Photo credit: NASA / JPL / MSSS

There has long been a theory about where araneiforms came from. This theory, known as Keiffer’s Hypothesis, named after Hugh Kieffer, formerly the US Geological Survey, centered on the idea that the sun would warm the ground beneath blocks of dry ice and eventually sublimate the dry ice it was in contact with. Then pressure would build up in the block of ice, which would eventually break open and allow the gas to escape. The rapid escape of the gas then forms the dendritic pattern in the dust on the surface of Mars, which is characteristic of Araneiforms.

The only problem with this theory, which has been widely accepted in the scientific community, is that it has never been demonstrated experimentally. The coverage of the surface of Mars is not continuous enough to be able to catch a block of ice when it sublimates. Hence, although widely accepted, the theory has never really been proven.

YouTube video describing the Mars simulation chamber.
Credit – Europlanet’s YouTube Channel

This is where the team from Trinity College Dublin comes in. They teamed up with other scientists like Durham University and the Open University who conveniently had an important part of the kit known as the Mars Simulation Chamber. With this experimental set-up, environments with pressures and temperatures similar to those on the surface of Mars can be restored.

The Mars simulation chamber wasn’t the only interesting experimental device the team used, however. They took a note from the amusement arcades and used a claw similar to the one in the frustratingly designed games where children don’t regularly pick up toys. After drilling holes in blocks of dry ice, the team hung them with their claws just above a granular bed. They varied the size of the grains in the granulate beds in order to adapt them to certain surface conditions on Mars.

The research team was inspired by a classic arcade game.
Photo credit: Wikipedia User Nlan86

Using another well-understood technique, the Leidenfrost effect, the team was able to sublimate some of the dry ice directly when it came into contact with the granular surface that was being heated. The gas thus generated quickly escaped through a central hole the team drilled in each block of ice to simulate the rupture believed to occur in the dry ice blocks on the Martian surface.

After each experiment, a very recognizable araniform pattern was visible in the granular bed as soon as the dry ice block was lifted. This provided the first experimental evidence for the creation of these patterns resulting from the sublimation process described in Kieffer’s original theory.

This finding is likely that the best scientists will be able not to observe the actual process directly on Mars. Even if they finally do, arachnophobes can rest assured that all Mars spiders are most likely just terrain patterns caused by the noise of CO2 gas. At least as far as we can tell here.

Learn more:
Trinity College Dublin – Trinity researchers fight the spiders from Mars
Scientific Reports – The formation of araneiforms from carbon dioxide ventilation and powerful sublimation dynamics under Martian atmospheric pressure
SciTechDaily – Researchers fight the enigmatic “spiders” from Mars
The Independent – Scientists Breakthrough in Finding Explanations for “Spiders From Mars”

Mission statement:
This image by MRO, captured in May 2018, shows spiders beginning to form during the Martian spring.
Photo credit: NASA / JPL / University of Arizona

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Categories
Science

Stellar Eggs Close to Galactic Middle Hatching Into Child Stars – Watts Up With That?

NATIONAL INSTITUTES FOR NATURAL SCIENCES

Research news

PICTURE: GAS MOVING TO US BECOMES BLUE AND GAS MOVING FROM US IS DISPLAYED IN RED. View More CREDIT: ALMA (ESO / NAOJ / NRAO), LU ET AL.

Using the Atacama Large Millimeter / Submillimeter Array (ALMA), astronomers found a number of star eggs with baby stars in the center of the Milky Way. Previous studies had shown that the environment there was too harsh for stars to form. These results show that star formation is more resilient than researchers believe.

Stars form in star eggs, cosmic clouds of gas and dust that collapse due to gravity. If something interferes with the contraction caused by gravity, star formation is suppressed. There are many potential sources of interference near the Galactic Center. Strong turbulence can stir up the clouds and prevent them from contracting, or strong magnetic fields can help the gas against the collapse of self-gravity. Previous observations showed that star formation near the Galactic Center is much less efficient.

To investigate the secrets of suppressed star formation, a team led by Xing Lu, an astronomer at the National Astronomical Observatory of Japan, used ALMA to observe regions near the Galactic Center that contain abundant gas but no known star formation. Surprisingly, the team discovered more than 800 dense cores made of gas and dust.

“The discovery raises the question of whether or not they are actually ‘star eggs’.” explains Lu. To answer this question, the team again looked with ALMA for energetic gas outflows that indicate the formation of stars in star eggs. Thanks to the high sensitivity and the high spatial resolution of ALMA, 43 small and weak runoffs could be detected in the clouds. Lu comments: “Our observations show that baby stars are still forming in the severely disturbed areas around the Galactic Center.”

The research team is now analyzing the higher-resolution observational data from ALMA to better understand the processes that drive gas outflow and star formation near the Galactic Center.

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From EurekAlert!

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