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<td><span style="font-family:Helvetica, sans-serif; font-size:20px;font-weight:bold;">Social Psychology Psychology Headlines Daily Digest (Unofficial)</span></td>
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<td><a href="http://www.socialpsychology.org/client/redirect.php?from=rss_feed&id=183619&url=https://www.huffpost.com/entry/worlds-most-polluting-cities_n_673731e5e4b079b4c02a71bd" style="font-family:Helvetica, sans-serif; letter-spacing:-1px;margin:0;padding:0 0 2px;font-weight: bold;font-size: 19px;line-height: 20px;color:#222;">World's Most Polluting Cities Revealed at COP29; China and U.S. Top List</a>
<div style="font-family:Helvetica, sans-serif; text-align:left;color:#999;font-size:11px;font-weight:bold;line-height:15px;">Nov 15th 2024, 11:36</div>
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<p><div><p>Source: <a href="https://www.huffpost.com/impact/green" rel="tag" target="_blank">Huff Post Environment </a></p>Cities in Asia and the United States emit the largest amount of heat-trapping gas that feeds climate change, with Shanghai the most polluting, according to new data that combine observations and artificial intelligence. Of the seven states or provinces that spew the most greenhouse gases, six are in China and one—Texas—is in the U.S., as reported Friday by Climate TRACE, an organization co-founded by former U.S. Vice President Al Gore.</div><h6></h6><br><a href="https://www.socialpsychology.org/client/redirect.php?action=rssHomepage" target="_blank"><img title="Brought to you by Social Psychology Network" alt="Brought to you by SocialPsychology Network" src="https://www.socialpsychology.org/images/rss-footer-large.png" border="0" width="400" height="45"></a><br><br></p>
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<td><a href="http://www.socialpsychology.org/client/redirect.php?from=rss_feed&id=183632&url=https://www.usnews.com/news/top-news/articles/2024-11-15/fbi-says-bigoted-text-messages-also-sent-to-lgbtq-hispanic-people" style="font-family:Helvetica, sans-serif; letter-spacing:-1px;margin:0;padding:0 0 2px;font-weight: bold;font-size: 19px;line-height: 20px;color:#222;">FBI Says Bigoted Text Messages Also Sent to LGBTQ and Hispanic People</a>
<div style="font-family:Helvetica, sans-serif; text-align:left;color:#999;font-size:11px;font-weight:bold;line-height:15px;">Nov 15th 2024, 08:51</div>
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<p><div><p>Source: <a href="http://www.usnews.com/" rel="tag" target="_blank">U.S. News and World Report</a></p>The U.S. Federal Bureau of Investigation said Friday that a spate of offensive text messages sent after Donald Trump's victory—apparently aimed at Black Americans—had expanded to target Hispanic and LGBTQ people. The earlier messages used slurs and instructed recipients to pick cotton, and the new wave of messages were sent to Hispanics and LGBTQ people, in some cases telling people they were chosen for deportation or should report to a...</div><h6></h6><br><a href="https://www.socialpsychology.org/client/redirect.php?action=rssHomepage" target="_blank"><img title="Brought to you by Social Psychology Network" alt="Brought to you by SocialPsychology Network" src="https://www.socialpsychology.org/images/rss-footer-large.png" border="0" width="400" height="45"></a><br><br></p>
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<td><a href="http://www.socialpsychology.org/client/redirect.php?from=rss_feed&id=183609&url=https://www.sciencedaily.com/releases/2024/11/241114125659.htm" style="font-family:Helvetica, sans-serif; letter-spacing:-1px;margin:0;padding:0 0 2px;font-weight: bold;font-size: 19px;line-height: 20px;color:#222;">AI Method Can Spot Potential Disease Faster and Better Than Can Humans</a>
<div style="font-family:Helvetica, sans-serif; text-align:left;color:#999;font-size:11px;font-weight:bold;line-height:15px;">Nov 14th 2024, 10:59</div>
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<p><div><p>Source: <a href="https://www.sciencedaily.com/" rel="tag" target="_blank">Science Daily - Top Health</a></p>A "deep learning" artificial intelligence model can identify pathology, or signs of disease, in images of human tissue much faster—and often more accurately—than can people. The development could dramatically speed up the pace of disease-related research. It also holds potential for improved medical diagnosis, such as detecting cancer from a biopsy image in a matter of minutes, a process that typically takes a human pathologist several hours.</div><h6></h6><br><a href="https://www.socialpsychology.org/client/redirect.php?action=rssHomepage" target="_blank"><img title="Brought to you by Social Psychology Network" alt="Brought to you by SocialPsychology Network" src="https://www.socialpsychology.org/images/rss-footer-large.png" border="0" width="400" height="45"></a><br><br></p>
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<td><a href="http://www.socialpsychology.org/client/redirect.php?from=rss_feed&id=183590&url=https://www.sciencedaily.com/releases/2024/11/241113123419.htm" style="font-family:Helvetica, sans-serif; letter-spacing:-1px;margin:0;padding:0 0 2px;font-weight: bold;font-size: 19px;line-height: 20px;color:#222;">"AI Alone" Outperforms "AI+Doctors" in Medical Diagnosis Study</a>
<div style="font-family:Helvetica, sans-serif; text-align:left;color:#999;font-size:11px;font-weight:bold;line-height:15px;">Nov 14th 2024, 10:59</div>
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<p><div><p>Source: <a href="https://www.sciencedaily.com/" rel="tag" target="_blank">Science Daily - Top Health</a></p>Do doctors make more accurate diagnoses when they have access to artificial intelligence (AI) tools, and how do AI-assisted doctors compare with AI operating on its own? In a surprising study of 50 doctors, published in JAMA Network Open, doctors did not make more accurate diagnoses when they had access to AI, yet AI operating alone outperformed doctors. "Adding a human physician to the mix actually reduced diagnostic accuracy," said one of the...</div><h6></h6><br><a href="https://www.socialpsychology.org/client/redirect.php?action=rssHomepage" target="_blank"><img title="Brought to you by Social Psychology Network" alt="Brought to you by SocialPsychology Network" src="https://www.socialpsychology.org/images/rss-footer-large.png" border="0" width="400" height="45"></a><br><br></p>
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<p><strong>Forwarded by:<br />
Michael Reeder LCPC<br />
Baltimore, MD</strong></p>
<p><strong>This information is taken from free public RSS feeds published by each organization for the purpose of public distribution. Readers are linked back to the article content on each organization's website. This email is an unaffiliated unofficial redistribution of this freely provided content from the publishers. </strong></p>
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