#ArtOfPrinting; #tyoeDesigning; #MakingBooks, #RussellMaret
New York/Canadian-Media: Russell Maret, a book artist, type designer and private-press printer working in New York City describes in this post -- which first appeared in the the Library of Congress (LoC) Magazine -- his passion in the magic of making books to transform world, LoC reported.
Russell Maret. Photo: Annie Schlechter.
Two of the earliest-known pieces of European printing, said Maret were made with moveable metal type and the Gutenberg Bible, widely considered one of the most beautiful books ever printed. (The Library’s copy is one of three perfect vellum copies known to exist.)
These two objects, moveable metal type and the Gutenberg Bible, continued Maret constitute what we now call as a book art.
These two objects form an amorphous field populated by printers, papermakers, type designers, engravers and bookbinder and craftspeople.
Each branch of the book arts, similar to any creative field tries to make something out of these base materials of paper, lead and ink that is greater than the sum of its parts.
Printing is a permanent transformation, which is both technical and existential which literally transforms a blank piece of paper into a messenger of ideas.
Permanence in printing is relative, in as much as the permanence of an idea is subject to the shifting interpretations of time (The earth is the center of the universe!). And books, as we all know, can be burned.
In 1989, when Maret 18 years old, he said he inked up a printing press and pulled a proof for the first time and from that instant he was determined to do printing and over 30 years later, he is still determined to do it better.
In 1996 he designed a typeface and since then type design and alphabetical form have become the primary focus of his work. They map new pathways for me to pursue in my books.
Making a book involves, said Maret hard physical work, a high level of attentiveness and, ideally, a willingness to reevaluate and change with with the excitement of permanence and transformation while being aware of that one’s efforts might fall short of both.
#Irvine study; #mediaviolenece; #mediaexposure; #ScienceAdvances
New York, Apr 23 (Canadian-Media): Repeated exposure to media coverage of collective traumas, such as mass shootings or natural disasters, can fuel a cycle of distress, according to a University of California, Irvine study.
Researchers found that individuals can become more emotionally responsive to news reports of subsequent incidents, resulting in heightened anxiety and worry about future occurrences.
The report appears in Science Advances, a peer-reviewed, multidisciplinary, open-access journal published by the American Association for the Advancement of Science.
“It’s natural for people to experience feelings of concern and uncertainty when a terrorist attack or a devastating hurricane occurs,” said senior author Roxane Cohen Silver, UC Irvine professor of psychological science. “Media coverage of these events, fueled by the 24-hour news cycle and proliferation of mobile technologies, is often repetitious and can contain graphic images, video and sensationalized stories, extending the impact to populations beyond those directly involved.”
Earlier research has shown that consumption of media coverage of a collective trauma is a rational response for individuals seeking information as a way to mitigate their apprehension and cope with their stress. However, this strategy may backfire. According to this new study, repeated exposure to explicit content may exacerbate fear about future adversities, which promotes future media consumption and greater anxiety when they do occur. There is an even greater risk of falling into this pattern for those who have experienced violence in their lives or have been diagnosed with mental health ailments.
“The cycle of media exposure and distress appears to have downstream implications for public health as well,” said Rebecca R. Thompson, a UC Irvine postdoctoral scholar in psychological science and lead author of the report. “Repeated exposure to news coverage of collective traumas has been linked to poor mental health consequences — such as flashbacks — in the immediate aftermath and posttraumatic stress responses and physical health problems over time, even among individuals who did not directly experience the event.”
A national longitudinal study of more than 4,000 U.S. residents was conducted by Thompson, Silver and their colleagues over a three-year period following the 2013 Boston Marathon bombings and the 2016 massacre at the Pulse nightclub in Orlando, Florida. Participants were surveyed four times, enabling the team to capture responses to both tragedies and examine how responses to the first incident affected reactions to news coverage of the second.
“Our findings suggest that media organizations should seek to balance the sensationalistic aspects of their coverage, such as providing more informational accounts as opposed to lengthy descriptions of carnage, as they work to inform the public about breaking news events,” Silver said. “This may lessen the impact of exposure to one event, reducing the likelihood of increased worry and media-seeking behavior for subsequent events.”
Also conducting the study were Nickolas M. Jones, former UC Irvine psychological science doctoral student, and E. Alison Holman, UC Irvine associate professor of nursing. Project funding was provided by National Science foundation grants BCS-1342637, BCS-385 1451812 and BCS-1650792.
#MIT; #AI; #MITTechnologyReview; #KellgrenLawrenceGrade; #NIH
New York/Canadian-Media: A new study shows how training deep-learning models on patient outcomes could help reveal gaps in existing medical knowledge, Karen Hao, the senior AI reporter at MIT Technology Review reported.
Image: Measuring pain scale. Image credit: MIT Technology
In the last few years, research has shown that deep learning can match expert-level performance in medical imaging tasks like early cancer detection and eye disease diagnosis. But there’s also cause for caution. Other research has shown that deep learning has a tendency to perpetuate discrimination. With a health-care system already riddled with disparities, sloppy applications of deep learning could make that worse.
Now a new paper published in Nature Medicine is proposing a way to develop medical algorithms that might help reverse, rather than exacerbate, existing inequality. The key, says Ziad Obermeyer, an associate professor at UC Berkeley who oversaw the research, is to stop training algorithms to match human expert performance.
The paper looks at a specific clinical example of the disparities that exist in the treatment of knee osteoarthritis, an ailment which causes chronic pain. Assessing the severity of that pain helps doctors prescribe the right treatment, including physical therapy, medication, or surgery. This is traditionally done by a radiologist reviewing an x-ray of the knee and scoring the patient’s pain on the Kellgren–Lawrence grade (KLG), which calculates pain levels based on the presence of different radiographic features, like the degree of missing cartilage or structural damage.
But data collected by the National Institute of Health found that doctors using this method systematically score Black patients’ pain as far as far less severe than what they say they’re experiencing. Patients self-report their pain levels using a survey that asks how much it hurts to do various things, such as fully straightening their knee. But these self-reported pain levels are ignored in favor of the radiologist’s KLG score when prescribing treatment. In other words, Black patients who show the same amount of missing cartilage as white patients self-report higher levels of pain.
This has consistently miffed medical experts. One hypothesis is that Black patients could be reporting higher levels of pain in order to get doctors to treat them more seriously. But there’s an alternative explanation. The KLG methodology itself could be biased. It was developed several decades ago with white British populations. Some medical experts argue that the list of radiographic markers it tells clinicians to look for may not include all the possible physical sources of pain within a more diverse population. Put another way, there may be radiographic indicators of pain that appear more commonly in Black people that simply aren’t part of the KLG rubric.