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Cognitive Science: The Study of Human Mind and Intelligence – Spiceworks News and Insights

Cognitive science is defined as the field of study that interfaces multiple disciplines such as neuroscience, computer science, psychology, artificial intelligence (AI), philosophy, linguistics, and anthropology to understand the cognitive functioning of the human mind and the underlying mental processes. This article explains cognitive science in detail, its essential methods, and the top five applications in the real world.

Cognitive science refers to the field of study that interfaces multiple disciplines such as neuroscience, computer science, psychology, artificial intelligence (AI), philosophy, linguistics, and anthropology to understand the cognitive functioning of the human mind and the underlying mental processes. It focuses on comprehending the nature of the human mind and how it uses mental representations to realize, process, transform, and manipulate knowledge.

Cognitive researchers aim to develop a deeper understanding of human intelligence and behavior by investigating the functions of nervous systems that involve critical mental faculties such as perception, memory, emotional experience, learning, reasoning, problem-solving, decision-making, and language. The history of cognitive science dates back to the 1950s, coinciding with the emergence of artificial intelligence.

Fundamentally, cognitive science relies on developing representative structures of the mind and analyzing computational procedures that run on those structures to understand better how the thinking process unfolds within the human brain. Here, mental representations are similar to computer data structures, while the computational procedures are analogous to computational algorithms that operate on the said data structures.

Cognitive science encompasses several approaches to reveal the nature of mental representations and computational procedures. The most commonly used methods include:

The rule-based approach has typically been around since the 1970s. According to this model, thinking constitutes the application of inference rules of the kind IFTHEN to symbols to represent the structure of language sentences.

For example, consider the rule IF you run too fast in a full-marathon, THEN you will suffer from injuries. Applying this rule to the symbol you ran too fast in a full marathon gives the output symbol you will suffer from injuries. On using another rule, IF you suffer from injuries, THEN your body should rest for 10 hours to recover, to the latter symbol, it yields the symbol your body should rest for 10 hours to recover.

Rule-based models have a critical role in modeling the complex facets of human thinking such as language use or problem-solving. Such rule-based approaches have been extensively used in the medical field to develop expert systems for practical purposes.

The connectionist approach emerged in the 1980s and referred to parallel-distributed processing models. These use artificial neural networks (ANN) to model neural structures in the brain to simulate human thinking. In contrast to rule-based approaches, connectionist models run parallel computational processes rather than in a serial fashion.

Typically, rule-based systems use inference rules to simulate thinking phenomena. However, connectionism is more about simultaneously satisfying several criteria and data-processing constraints. Thus, the connectionist model is used in modern facial recognition applications. It is also used to comprehend psychological aspects that include language learning, which is key to deciphering human thinking.

The development of theoretical neuroscience came to the fore with the ultimate integration of the rule-based model and the connectionism approach. This happened in the 1990s and 2000s as it was when cognitive science got linked to neuroscience with the development of brain-related technologies and instruments such as magnetic resonance imaging (MRI) and functional MRI (fMRI) that could observe brain activity in real-time in experimental setups.

Moreover, with the emergence of theoretical neuroscience, computational models were developed that could visualize the firing neurons (brain activity) within the brain. This helped decode the decision-making process, an intricate process (high-level reasoning) happening in the prefrontal cortex region of the brain. Moreover, these models also helped better understand human emotions associated with the brains amygdala region.

Specifically, the field combined inferential rules and neural networks to build models that could simulate far more mental functions than individual rule-based, or connectionist models could achieve.

Cognitive science relies heavily on Bayesian models to understand psychological traits such as vision, motor control, social cognition, learning, and others. The foundations of these models are derived from Bayes theorem, which associates probability factors with human understanding. Such models are also used in modern robotic applications.

Cognitive science has been using artificial intelligence to decode the human mind since the 1950s. Moreover, with recent advancements in AI, deep learning approaches are used in applications such as gaming, object recognition, language translation, and other allied areas.

On the fundamental level, deep learning is developed on the foundation of connectionist models and theoretical neuroscience. However, it uses far more complex and advanced algorithms, along with neural networks having a multitude of neural layers. Taking a step further, deep learning is now being explored through reinforcement learning; wherein learning is combined with the rewards from previous examples to fine-tune the model.

Today, deep learning is penetrating neuroscience and is bringing about significant development in the areas of cognitive psychology.

Apart from the approaches mentioned above, mental representations and computations that reveal the details of how the mind works (how neurons fire while performing specific tasks) have been explored through cognitive theories of logical rules, concepts, images, propositions, and analogies.

See More: Top 10 Machine Learning Algorithms in 2022

Cognitive science aligns diverse outlooks and fields to realize the scientific study of the mind and intelligence. The primary methods involved in cognitive science include psychological experiments performed on human participants, brain imaging techniques, and computer modeling approaches.

Lets understand each method in greater detail:

To quantify and comprehend intelligent behavior, it is inevitable to study subjects behavioral responses to various stimuli as it reveals the way any stimuli are processed within the human brain. One can achieve this by performing psychological or behavioral experiments that involve participants. Such experiments show the behavioral traits and behavioral choices of users.

These experiments help in tracking the following variables for the involved participants:

Brain imaging allows one to observe the subjects brain activity in real time while performing a task. It associates user behavior with cognitive brain function to draw insights into how the brain processes information. Brain imaging techniques are central to cognitive neuroscience.

Some of the instruments used for imaging purposes:

Computational modeling requires a systematic representation of a problem that is logical to interpret and address. This is where the mental representation discussed earlier comes into play. Here, computational models similar to mental operations are tested for evaluating the performed behavioral or psychological experiments. Models, once built, are used in the future to assess the brain activity of individuals.

Fundamental approaches are used for modeling purposes:

All the above-discussed approaches are either used as standalone computational models or hybrid ones to model cognitive faculties such as language, vision, perception, etc. Such models play a crucial role in gaining a better understanding of human cognition and, in turn, enable the development of intelligent systems that have decision-making and reasoning abilities at par with that of humans.

Other neurobiological methods to help understand the human mind include direct brain stimulation, single-unit recording, and autopsy studies. In direct brain stimulation, a current is delivered to a subject through electrodes for cognitive enhancement. The single-unit recording method employs a microelectrode system to determine the subjects electro-physiological responses of a single neuron while the subject performs a task.

Post mortem studies refer to the brain study performed on an individuals brain after their demise in cases where the subject suffered from some kind of phenomenological condition such as speaking problems, paralysis, or Alzheimers disease.

See More: What Is HCI (Human-Computer Interaction)? Meaning, Importance, Examples, and Goals

Cognitive science develops empirical theories of the mind that find application in several domains such as education, operations research, human-factors engineering, human resource management, medicine, etc. Lets dig deeper into the role played by cognitive science in driving each of these fields.

Cognitive science contributes significantly to the academic arena by making learning more engaging. Here, critical factors such as visual perception or response to auditory tones that affect the learner are studied to improve the process of learning. This is achieved by answering fundamental questions such as how long can a learner stay fully focused on a task?, how does the brain decode the delivered information?, and how can one avoid distractions to improve focus?, which help the teacher develop an understanding of the cognitive psychology of a group of students in a classroom. This helps in designing the academic curriculum in a better way.

Moreover, with cognitive science, the personalization of learning programs is also possible, which can help the teaching staff design performance-based learning plans for students with similar cognitive traits. The teaching faculty gains insights into the mental capacity of learners through visual and auditory behavioral patterns. It allows them to formulate personalized academic programs for individuals based on perceptive cues.

Operations research is a field of study that applies scientific methods for the seamless management and administration of military, government, industrial, and commercial processes by making decisions responsible for controlling the systems operations. This implies that it focuses on how managerial decisions are made or should be made, how to process the data necessary for effective decision-making, and how to implement decisions. All these questions are answered through cognitive science, as decision-making is a mental phenomenon and is better understood by unraveling the mysteries of the human mind.

Thus, cognitive science in operations research tends to improve the operations of existing organizational and administrative systems. Here, cognitive science integrates several other knowledge streams, such as communications theory, decision theory, behavioral sciences, and general systems theory, to boost the outcome of operations research.

Human-factors engineering is an applied science discipline that focuses on designing the working and living space based on the users requirements. This applied field emerged during World War II when new military equipment was so complex that it was difficult for anyone to operate it safely. This brought the focus onto the human-factor as it became essential to develop equipment that everyone could easily manage.

With cognitive science coming to the fore, development along the lines of human-factors engineering gained steam. The focus today is to design products, equipment, facilities, and environments based on the suitability for people and, at the same time, ensure that the efficiency of the work performed by people is enhanced along the way.

In short, cognitive science works hand-in-hand with the human-factors field by applying information that defines human cognitive abilities, psychological capabilities, and behavior in designing systems that are well-suited for people of all categories.

Human resource departments see a paradigm shift in their operations as HR professionals increasingly use tools and applications that reveal human-like intelligence. Cognitive systems that use data-driven models are being explored for recruitment, which not just help in talent search and tracking but also define the working styles in a company. Moreover, HR staff are also using cognitive tools to improve workforce decision-making.

Business managers also benefit from cognitive systems as team member insights are directly shared with them on easily accessible apps and tools, reducing the workload on HR professionals. It allows HR members to take up other tasks such as building business relationships with new vendors/companies or providing strategic advice to top-level management, and so on.

Cognitive science-based psychological experiments and computational models have played a key role in developing apt medical reasoning approaches that have helped diagnose and treat illnesses, diseases, and ailments. Moreover, with rising awareness about mental health, comprehending the cognitive and neural processes that unfold in a healthy mind has become crucial. Thats where cognitive science plays a key role.

Cognitive science also provides us with ways to deal with mental issues such as depression or even handle diseases such as Alzheimers and schizophrenia.

Besides the applications discussed above, cognitive science also impacts several other industries. Lets look at the current trends where cognitive science is contributing immensely.

Looking at the current developments, one can say that we are inching closer to understanding our minds and brains better. Such efforts are making us better at designing machines that can think and act for themselves.

See More: What Is Super Artificial Intelligence (AI)? Definition, Threats, and Trends

Cognitive science emerged with the human desire and curiosity to better understand how we think and act and how the brain processes vast volumes of data. With growing sophistication in technologies such as AI, brain imaging, and powerful neural interfaces, decoding the mind has become much easier.

Moreover, cognitive experiments and techniques have allowed us to explore the mental faculties that play a role in diseases such as Parkinsons, Alzheimers, and schizophrenia. Advances in cognitive science have also enabled us to develop computer algorithms that can mimic the human brain. If our technological prowess continues to grow at the current pace, the day is not far when we will be able to decode the meaning of every single neural firing within the brain.

Did this article help you understand cognitive science in a better way? Comment below or let us know on Facebook, Twitter, or LinkedIn. Wed love to hear from you!

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Cognitive Science: The Study of Human Mind and Intelligence - Spiceworks News and Insights

Tesla: Canaccord Says Investors Should ‘Mind The Gap’ – The Deep Dive

Over the weekend, Tesla (NASDAQ: TSLA) was one of many automotive companies to announce their third-quarter production and delivery numbers. The company announced that production during the third quarter was 365,923 cars, of which 19,935 were Model S/X, and 345,988 were Model 3/Y cars. At the same time, deliveries were 343,830 cars, with 18,672 Model S/X cars being delivered and 325,158 Model 3/Y being delivered.

In the news release, Tesla says that as its production continues to increase, it is becoming increasingly challenging to secure vehicle transportation capacity and at a reasonable cost during these peak logistics weeks. As a result, the company has started to transition to a more even regional mix of production weekly.

Tesla currently has 43 analysts covering the stock with an average 12-month price target of $299, or an upside of about 24%. Out of the 43 analysts, 12 have strong buy ratings, and 15 have buy ratings. Ten analysts have hold ratings, while three analysts each have sell and strong sell ratings. The street high price target sits at $461, which represents an upside of about 90%.

In Canaccord Genuity Capital Markets note on the production and delivery numbers, they reiterate their buy rating and $304 12-month price target but say that investors should mind the gap. The gap being the number of cars produced over the number of cars delivered during the quarter.

Canaccord says that this roughly 22,000 car overproduction is material and asks what gives. They are hoping that during the earnings call, Tesla will be able to answer two important questions: how much does this differ from normal, and why?

They say that this gap of roughly 22,000 cars is the largest gap in the last 15 quarters on an absolute basis and the fourth largest on a percentage basis.

As for Teslas reasoning in the news release, Canaccord trusts that the gap is due to attributes outside their control but notes that given the growing data points from a macro and Tesla-specific perspective, all point to a potential slowdown in order rates.

Below you can see Canaccords updated estimates.

Information for this briefing was found via Edgar and Refinitiv. The author has no securities or affiliations related to this organization. Not a recommendation to buy or sell. Always do additional research and consult a professional before purchasing a security. The author holds no licenses.

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Tesla: Canaccord Says Investors Should 'Mind The Gap' - The Deep Dive

What "Mind Blanking" Tell Us About How We Think – Technology Networks

Researchers from theGIGA CRC In vivo Imagingat the University of Lige (Belgium), the EPF Lausanne and the University of Geneva publish a study that shows that the phenomenology of "mind blanking" challenges the belief that the human mind is always thinking. The study is published in the journalProceedings of the National Academy of Sciences.

We generally consider that our mind is full of thoughts when we are awake. Like a river stream always running, similarly we entertain our own dynamic mental stream: a thought can lead to another, relevant to what we do or not, ebbing between our inner life and the outer environment. How can the brain sustain such a thought-related mode constantly, though? A study just published in theProceedings of the National Academy of Sciencesindicates that it actually cannot, and that our brains also need to go offline for some moments, which we can experience as blanks in the mind.

Researchers from the University of Lige and EPF Lausanne & University of Geneva re-analyzed apreviously collected datasetwhere healthy participants were reporting their mental state as this was before hearing an auditory probe (beep) while resting in the MRI scanner. The choices were among perceptions of the environment, stimulus-dependent thoughts, stimulus-independent thoughts, and mental absences. Functional images were being collected during this experience-sampling method. The researchers found that mind blanking episodes were reported quite rarely compared to the other states, and that they were re-appearing also scarcely across time. Using machine learning, the researchers further found that our brains during mind-blanking episodes organized in a way where all brain regions were communicating with each other at the same time. This ultra-connected brain pattern was further characterized by high amplitude of the fMRI global signal, which is a proxy of low cortical arousal. In other words, when reporting mind blanking our brains seem to be in a mode similar to that of deep sleep, only that we are awake.

Mind blanking is a relatively new mental state within the study of spontaneous cognition. It opens exciting avenues about the underlying biological mechanisms that happen during waking life. It might be that the boundaries of sleep and wakefulness might not be that discrete as they appear to be after all, says the principal investigator Dr. Demertzi Athena, FNRS researcher at GIGA ULige. The continuously and rapidly changing brain activity requires robust analysis methods to confirm the specific signature of mind blanking, continues Dr. Van De Ville Dimitri.

The researchers claim that the rigid neurofunctional profile of mind blanking could account for the inability to report mental content due to the brains inability to differentiate signals in an informative way. While waiting for the underlying mechanisms to be illuminated, this work suggests that instantaneous non-reportable mental events can happen during wakefulness, setting mind blanks as a prominent mental state during ongoing experience.

Reference:

Mortaheb S, Van Calster L, Raimondo F, et al. Mind blanking is a distinct mental state linked to a recurrent brain profile of globally positive connectivity during ongoing mentation. Proceedings of the National Academy of Sciences. 2022;119(41):e2200511119. doi:10.1073/pnas.2200511119

This article has been republished from the following materials. Note: material may have been edited for length and content. For further information, please contact the cited source.

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What "Mind Blanking" Tell Us About How We Think - Technology Networks

"Pit Lit" Course Takes Students Deep into Literature and a Local Cave | University of Arkansas – University of Arkansas Newswire

Bryan Hurt

"Pit Lit" Class Members Standing Outside of War Eagle Cavern in August

This past August intersession, the undergraduate and graduate students enrolled in Bryan Hurt's "Pit Lit" course (ENGL 4603/5243) dove deep into the course topic, literally. They had the opportunity to consider the course materials within the classroom as well as beneath the surface of the earth.

Hurt, a professor for the Program in Creative Writing and Translation in the Department of English, came up with the idea for the course while reading, back-to-back, Haruki Murakami's The Wind-Up Bird Chronicles andKb Abe's The Woman in the Dunes.

"I had the somewhat superficial realization that there were a lot of books about people who descend into holes and get stuck in them," he said. "Once I saw this theme, I couldn't stop seeing it. Pit books were everywhere. In contemporary literature. Classical. I thought it would be fun to build a class that explored the idea more closely."

When subsequently assembling his course syllabus, Hurt selected centuries-old literature along with books released just a few years ago, both poetry and prose, and films as well as written texts.

"[The course] began with Alice in Wonderland, which I thought of as a sort of canonical text (Carroll originally titled his manuscript Alice's Adventures Under Ground). We watched [film director] Werner Herzog's Cave of Forgotten Dreams, which is in many ways about the intersection of art and caves," Hurt explained.

"After we established a shared vocabulary of themes and ideas that we expected to see in works of 'Pit Lit,' we opened up and read a little more broadly to verify or challenge those ideas. Since it was just a 10-day course, I wanted to stick to relatively short novels, 200 pages or less."

Hurt also assigned Abe's The Woman in the Dunes, Helen Phillips's The Need, Hiroko Oyamada's The Holeand Davis McCombs's first book of poetry, Ultima Thule.

"I think we all agreed that, by the end of the course, we'd just scratched the surface of pit books to read," Hurt said.

But discussing the assigned materials while sitting in a classroom was not all Hurt had in mind for getting his students excited about taking the course.

"Since there are so many good caves in Northwest Arkansas," he noted, "I thought it'd be worth our while to visit one."

Having the class convene one day at War Eagle Cavern, in Benton County, turned out to be an effective exercise for a course focusing on underground literature. "I remember the guide telling us at one point that there was several hundred feet of pure rock sitting on top of us," Hurt said. "The feeling was uncomfortable and uncanny, which I think is a feeling that a lot of pit books try to capture."

Even though the length of the August intersession allowed the class only enough time to begin exploring the "Pit Lit" genre, Hurt found the shorter schedule beneficial.

"I like teaching intersession courses because they give me a chance to experiment and test out new ideas. I was thrilled that all of the students met the course with enthusiasm, curiosityand ultimately, a real sense of engagement with the subject," he said.

"The students are always the best part of teaching, and this class was no exception."

The students likewise appreciated Hurt's teaching a literature course quite different from any previously offered by the English Department.

"I thoroughly enjoyed learning about how underground spaces function in literature, both physically and metaphorically, in Dr. Hurt's course," M.F.A. student Sophie Trist responded. "The trip to War Eagle Caverns was an amazing way to start the course because it gave us an opportunity to actually experience the ambiance of the type of space we were studying. There's so much fascinating material in the 'Pit Lit' subgenre that I wish we could've continued our survey for an entire semester."

According to B.A. student Sarah Davis, Hurt's course guided her to discover more in her reading by using fresh tools of literary excavation. "This course provided me with an insight into literature that I otherwise would not have even begun to look for in my readings. It left me filled with new ways to dig deeper into what a story's connection can really be to and why."

The diversity of materials that class members studied and the range of underground spaces they discussed, combined with the trip to War Eagle Cavern and Hurt's innovative approach to pedagogy, are what stood out to Ph.D. student Scott Hendry.

"After experiencing Dr. Hurt's immersive deep-dive into 'underground' art, an often-utilized yet seldom analyzed genre, I can say unreservedly that the 'Pit Lit' course is fantastic! Through readings and interpretations of new novels, foreign films, regional poetryand classic works of literature, we explored pits, caves, tunnels, holesand subterranean existence in ways that were innovative and enlightening. Our visit to an actual cave helped set the tone for a powerful, multi-layered study. I learned so much, and I appreciate Dr. Hurt's invitational style of teaching. I wholeheartedly recommend the course."

There is a possibility that Hurt will teach the course again next August intersession. However, he is now at Cambridge University on fellowship, and his not knowing exactly when he will get back means he can't make any promises.

But his return to offering "Pit Lit" at some point is pretty certain.

"I definitely want to teach the class again," he said. "I could even imagine doing it as a full semester-long course in the future."

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"Pit Lit" Course Takes Students Deep into Literature and a Local Cave | University of Arkansas - University of Arkansas Newswire

Im more mature now: Bonnie Raitt talks about writing deep lyrics and finding her voice – The Dallas Morning News

Today, Bonnie Raitt is rightfully considered one of the greatest guitarists alive, and a poignant singer-songwriter as well.

But for years, the music industry had absolutely no idea what to do with her.

In 1971, at age 21, she released her critically acclaimed debut, Bonnie Raitt. But after a long string of poor-selling albums, Warner Bros. Records finally threw up its hands and dropped her.

I was kind of a cult artist for 20 years, she says. It was only after I had some success with the Grammys that I crossed over a little bit.

Shes referring to 1989s Nick of Time, her first album for Capitol Records: It won three Grammys, including Album of the Year, and topped the pop charts.

Earlier this year, she released her 18th studio album, Just Like That..., her first album in six years. We spoke with Raitt by phone from her home north of San Francisco. Our conversation has been edited for length.

Your new song Livin For The Ones sounds like a joyous rocker at first listen. But its actually a song about mortality, with some of the most serious lyrics youve ever written.

These last two years have been an unbelievable train wreck of loss. But the song is also about all the people Ive lost in my life. Im at the age where a lot more people are succumbing to cancer, and Ive had friends pass away from accidental overdoses or suicide.

It takes its toll. I started feeling that way, about livin for the ones who didnt make it, when my brother lost his eight-year battle with brain cancer in 2009. I told him, Im going to live every day for the life you didnt get to have.

Its fun to put a serious song to a rockin beat. Its actually cathartic. Every night when I sing it, its a call to arms for me to remind myself not to bitch and moan and whine.

Waitin for You to Blow is funny at times, but you also seem to be saying some deeper things about addiction and compulsive behavior.

I was definitely inspired by Mose Allison and Randy Newman. I love their satirical point of view and their ability to skewer human foibles and be half serious and half joking.

Ive been in recovery from drugs and alcohol for 35 years. And Ive been lucky to manage to stay on that path, a day at a time. But there are still personality defects and ways we slip up, either in white lies we tell our friends, or ways we kid ourselves when we know better, like, Its OK to have another piece of cake at midnight.

I wanted to write about the little devil on your shoulder thats urging you to mess up, whether youre an addict or not. Were all human, and were all struggling.

Youve given credit to several musicians, including Stevie Ray Vaughan, for helping you overcome drug and alcohol addiction. How did they help you?

For a lot of us, when we were in our mid-30s, [substance abuse] was no longer working so great. It became a lot harder for you to recover and remember what you said the night before, and then you couple that with anger and unresolved issues: I got dropped by my label right before a big, long tour and had a romance fall apart, and I kind of medicated myself. Therapy wasnt going to do it for me.

So I looked around and saw some friends of mine that clearly were in better versions of themselves. I saw Stevie come out of recovery and play one night in Atlanta: He wasnt sure, but the first time he picked up the guitar, he just burned a hole in the sun. It was a real inspiration.

When I saw him that night, I said, You know what? Thats it. No more excuses. It was the last straw. I made the decision, and within a couple of months, I got sober.

Youve been a strong role model for so many female musicians. What were your experiences in the male-dominated music business decades before the #MeToo movement?

I grew up in show business with my dad [actor John Raitt], so I got a window on how women were devalued and treated as sex objects. As burgeoning feminists in the late 60s and early 70s, we were already blazing a trail, demanding equal treatment and saying, Dont talk to me like that.

Im not, like, drop-dead gorgeous, so I probably didnt get hit on like some less sophisticated young women that are super-gorgeous and not as experienced in show business. I spoke my mind, and I put out a vibe I used to sing Under My Thumb with the sex changed.

When people met me, they met me with respect. I just was never in a position to be treated that way, and if I was, I wouldnt have put up with it. I would have fought back.

Today, the business itself hasnt changed as much as it could have. Men are still running the entertainment industry. But its great that now, nobody is going to put up with that kind of misogyny and inappropriate behavior. Its been great that all that got blown out of the water.

Ive seen you several times in concert where youve told some very funny risqu jokes. Have any uptight concertgoers ever complained about your off-color sense of humor?

Not that I ever heard about. Mae West was a big hero of mine from when I was a little kid, and in my 20s, I was definitely playing the part of a blues mama. It was an attempt to get rid of this little high soprano voice and a wimpy exterior. I was trying to seem road-worn.

But theres a fine line before it becomes grossly raunchy. And eventually, after I got sober and I had enough therapy, I realized I didnt have to hide behind that persona. I didnt have to smoke cigarettes and try to be like my older blues heroes.

My brain still comes up with [raunchy] stuff, but Im able to catch it nowadays. The other night, I told the audience, I almost said something that the old Bonnie would have said. After the show, my band said, What was it? And I told them. They just rolled their eyes.

Ive settled down a bit. Im more mature now. Thank God I came to my senses.

Bonnie Raitt and opening act Marc Cohn perform Oct. 8 at 8 p.m. at Texas Trust CU Theatre, 1001 Texas Trust Way, Grand Prairie. axs.com.

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Im more mature now: Bonnie Raitt talks about writing deep lyrics and finding her voice - The Dallas Morning News

I’m A Longevity Expert & This Is The Best Way To Slow Down Aging – mindbodygreen

While sleep may feel like a passive process, it actually sets off a flurry of beneficial biological activity. As we snooze, our brains clear out abnormal proteins, our pituitary glands release hormones that help the body grow and repair, and our immune systems go into defend-and-protect mode.

Thanks to all this work happening behind the scenes, sleep can help with things like weight maintenance, blood sugar control, and cognitive function over time.

Research is finding that it also plays an essential role in heart health. Just this summer, Bonney notes, the American Heart Association added healthy sleep as one of the eight most important factors for improving and maintaining cardiovascular health.

Sleep is also intricately linked to immunity and the ability to stave off pathogens. "There have been so many studies that clearly document how optimization of sleep and sleep hygiene is really vital to keeping your immune system healthy," Bonney explains.

All in all, decades of research tell us that trying to get away with too little (or too much!) sleep will be a barrier to longevity. And yet, Bonney sees people do it all the time. "I hear so many people say things like, 'I'll sleep when I'm dead,'" she says. "And the truth is, you will be dead sooner if you don't sleep."

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I'm A Longevity Expert & This Is The Best Way To Slow Down Aging - mindbodygreen

Hype versus reality: What you can’t do with DeepMind’s AlphaFold in drug discovery – The Register

Analysis DeepMind's AlphaFold model has predicted nearly all known protein structures discovered yet, though its ability to help scientists discover new drugs remains unproven.

Proteins are complex molecules created by organisms to carry out the biological functions necessary for life. Generally made up of a string of 20 amino acids, these chains fold up in countless ways, with their final shape determining how they work and interact with other things.

It's not a straightforward process determining how a protein will fold. For example, let's say you wanted to synthesize a protein or slightly alter its operation. You can't adjust its amino acids or come up with a new string of them and know for sure how they will turn out and work when folded. This is where computers come into it.

Advances in AI algorithms and training have led to the development of software, such as AlphaFold, that can accurately predict the 3D shapes of proteins given their amino acid combinations.

AlphaFold is impressive, and has now predicted over 200 million proteins from their amino acid strings. Researchers hoped that building such a large database would allow scientists to develop treatments targeting specific proteins associated with diseases such as cancer or dementia. Coming up with such medicines may require you to know the physical structure of the protein, which is where programs like AlphaFold can be used.

An investigation led by academics at MIT in America, however, shows just how difficult the task is in practice. Essentially, the AI software is useful in one step of the process structure prediction but can't help in other stages, such as modeling how drugs and proteins would physically interact.

"Breakthroughs such as AlphaFold are expanding the possibilities for in silico (computer simulation) drug discovery efforts, but these developments need to be coupled with additional advances in other aspects of modeling that are part of drug discovery efforts," James Collins, lead author of the study published in Molecular Systems Biology and a bioengineering professor at MIT, said in a statement.

"Our study speaks to both the current abilities and the current limitations of computational platforms for drug discovery."

Collins and his colleagues used AlphaFold to simulate interactions between bacterial proteins and antibacterial compounds, a task known as molecular docking. The goal was to use molecular docking to rank the candidate compounds by how strongly they bind to the target protein. A molecule that binds strongly to a protein is more likely to be an effective drug; it could be more effective at preventing the protein from carrying out a pathogenic function, such as tumor growth, for example.

The team tested AlphaFold's ability to model interactions between 296 essential proteins from E. coli bacteria with 218 antibacterial compounds, including antibiotics such as tetracyclines. AlphaFold was not very effective for modelling molecular docking simulations accurately.

"Utilizing these standard molecular docking simulations, we obtained an auROC value of roughly 0.5, which basically says you're doing no better than if you were randomly guessing," Collins said.

Other machine learning models were more accurate than AlphaFold for some simulations, according to Felix Wong, co-author of the paper and a postdoctoral researcher at MIT.

"The machine-learning models learn not just the shapes, but also chemical and physical properties of the known interactions, and then use that information to reassess the docking predictions," he said. "We found that if you were to filter the interactions using those additional models, you can get a higher ratio of true positives to false positives."

Derek Lowe, a longtime drug discovery chemist and science writer, told The Register he wasn't surprised with the results given that AlphaFold was not really trained for molecular docking simulations. "Docking small molecules into a given protein structure is really a different problem than determining that protein structure in the first place," he said.

Being able to model these types of chemical interactions is an unsolved problem. No algorithm is perfect. Even if scientists have a good model of the protein, its shape changes when it is interacting with a potential drug candidate in mysterious ways.

"Virtual screening has never yet reached the 'works every time' level - sometimes it provides useful information and sometimes it doesn't, and you are never sure up front which of those regimes you're working in. Added to that is the way that different docking software will give you different answers, and for any given target one of them might give notably more useful answers than another - but again, you don't know up front which of those it'll be," Lowe said.

"Even with perfect protein structures, some of them are going to be better 'fits' for a docking-and-scoring approach than others, and AlphaFold structures, while impressive, are not perfect, either. But to me, this isn't so much on AlphaFold as it is on docking technology."

AlphaFold may prove useful for other parts of the drug discovery pipeline, where comparing protein structures obtained via different methods against the model's predictions is valuable.

"The biggest problems in drug discovery are the ones that contribute to our roughly 85 percent failure rate in the clinic. And those are picking the right targets and getting early warnings about toxicity. Neither of those are helped much at all by knowing protein structures," Lowe added.

We had some questions for Felix Wong and Aarti Krishnan, the lead authors for the MIT study. They got back to us with these answers:

The Reg: Why does AlphaFold struggle to simulate docking accurately? Was it trained for this task?

MIT team: "AlphaFold was trained to predict the three-dimensional structures of proteins from amino acid sequences; these structures can then be used in downstream applications, including molecular docking to predict drug-protein interactions. While this is one of AlphaFold's most anticipated use cases, AlphaFold can likely be improved to better facilitate this. For instance, AlphaFold predicts only static and rigid protein structures that are stuck in time, and it's possible that knowing the dynamical and disordered properties of these structures can better enable us to predict drug binding."

What types of software do practitioners use in the drug industry to simulate model docking? Why is this task difficult, and how does AlphaFold compare?

"Molecular docking has evolved and improved over the past 40 years, and nowadays open-source (eg, AutoDock Vina and DOCK6) and proprietary (eg, Schrdinger) software are commonly used. Predicting drug binding is probably one of the most difficult tasks in biology: these are many-atom interactions between complex molecules with many potential conformations, and the aim of docking is to pinpoint just one of them.

Predicting drug binding is probably one of the most difficult tasks in biology

"We've all heard the analogy of a needle in a haystack, but this is even more challenging because conformational space is huge. Even the first step of guessing the general region of the protein to look at (the binding pocket) is difficult, since having just a 3D toy model doesn't tell you how a protein functions.

"One of AlphaFold's main contributions thus far has been to provide a comprehensive resource of predicted protein structures that we can now use for docking. These predictions complement all the experimental structures that we already had, because there were some structures that we didn't have and we can now go through the structures more holistically.

"When we were performing our benchmarking analyses using 12 well-characterized E. coli proteins, we found that the ability of molecular docking to accurately predict drug-protein interactions was similar when using AlphaFold as opposed to experimentally-determined structures. This strongly suggests that the bottleneck is not the quality of AlphaFold-predicted structures, but rather the molecular docking approach and our current, limited ways of harnessing structural information to accurately predict drug-protein interactions."

Why is it important to measure the binding between a protein and molecule?

"The binding between a protein and a molecule underlies how many drugs, including antibiotics, work. Most antibiotics, like penicillin, are simply small molecules that bind specifically to bacterial proteins.

"By binding to their protein targets, these drugs can interfere with the normal functions of proteins in many ways, including competing against physiological substrates and inducing protein conformational changes that render proteins inactive. For antibiotics, we want these proteins to be needed for the cell to survive, so that the drugs targeting these proteins would lead to bacterial death.

"This paradigm works similarly for anti-cancer and anti-viral drugs, and there are also cases where inhibiting the activity of some protein might be beneficial to a cell.

"In general, being able to measure the binding between a protein and a molecule tells you about how a drug works and is a critical part of any drug development process. Many cases in which a drug succeeds or fails can be informed by knowing the protein target (or targets). A common reason for drugs failing is that they turn out to have multiple targets, and this promiscuity is often associated with drug side-effects."

Excerpt from:
Hype versus reality: What you can't do with DeepMind's AlphaFold in drug discovery - The Register

This Week’s Awesome Tech Stories From Around the Web (Through September 10) – Singularity Hub

This Jellyfish Can Live Forever. Its Genes May Tell Us How.Veronique Greenwood | The New York TimesWhen their bodies are damaged, the mature adults, known as medusas, can turn back the clock and transform back into their youthful selves. While a predator or an injury can kill T. dohrnii, old age does not. They are, effectively, immortal. Now, in a paper published Monday in The Proceedings of the National Academy of Sciences, scientists have taken a detailed look at the jellyfishs genome, searching for the genes that control this remarkable process.

Cryptos Core Values Are Running Headfirst Into RealityWill Gottsegen | The AtlanticThe cats out of the bag on crypto regulations, forcing some companies to choose between their principles and their profits. For all the talk of crypto as a slick new alternative to a corrupt and outmoded banking system, companies have now found themselves backed into a corner: Either they can comply with regulations that could essentially defang the promise of the technology, or they can stay the course, at great cost to their bottom lines.

Scientists Have Made a Human Microbiome From ScratchCarl Zimmer | The New York TimesWhen the researchers gave the concoction to mice that did not have a microbiome of their own, the bacterial strains established themselves and remained stableeven when the scientists introduced other microbes. The new synthetic microbiome can even withstand aggressive pathogens and cause mice to develop a healthy immune system, as a full microbiome does.

Limitations of Deepminds Alphafold Detailed in MIT StudyKatyanna Quach | The RegisterEssentially, the AI software is useful in one step of the [drug discovery] processstructure predictionbut cant help in other stages, such as modeling how drugs and proteins would physically interact. Breakthroughs such as AlphaFold are expanding the possibilities for in silico (computer simulation) drug discovery efforts, but these developments need to be coupled with additional advances in other aspects of modeling that are part of drug discovery efforts, James Collins, lead author of the study publishedin Molecular Systems Biology and a bioengineering professor at MIT,said in a statement.

Uber Eats to Use Autonomous Electric Vehicles for DeliveriesMeara Isenberg | CNETUberis teaming up withNuro to use the latter companys autonomous, electric vehicles for food deliveries in a multiyear partnership, the companies announced Thursday. Deliveries begin this fall in Mountain View, California, and Houston, Texas, and the plan is for the service to expand to the greater Bay Area, according to a release. Nuros autonomous delivery vehicles are built specifically to carry food and other goods, the release says. They dont contain driversor passengers, and they run on public roads.

This Follicle-Hacking Drug Could One Day Treat BaldnessSimar Bajaj | WiredWith its roughly half a million hair follicles, you can think of your scalp as a gigafactory of 3D printers. According to Plikus, nearly all these follicles need to be constantly printing in order to create a full mop of hair. But in common baldness, these printers start shutting down, leading to hair thinning (if roughly 50 percent have switched off) and balding (when more than 70 percent are off). By activating stem cells present in peoples scalps, [the protein] SCUBE3 hacks hair follicles to restart the production line and promote rapid growth.

Black Holes Ring of Light Could Encrypt Its Inner SecretsThomas Lewton | QuantaThese findings imply to [Harvards Andrew] Strominger that the photon ring, rather than the event horizon, is a natural candidate for part of the holographic plate of a spinning black hole. If so, there may be a new way to picture what happens to information about objects that fall into black holesa long-standing mystery known as the black hole information paradox.

United Airlines Invests $15 Million in Electric Aviation Startup, Orders 200 Air TaxisAndrew J. Hawkins | The VergeThis is the second major investment from United in the nascent world of electric air mobility afterinvesting an undisclosed amount of money in Archer last year. These companies propose to develop small, electric vertical takeoff and landing (eVTOL) aircraft that can fly from rooftop to rooftop in a dense city as a taxi service. But so far, none have received clearance from federal aviation regulators to fly passengers.

The EUs AI Act Could Have a Chilling Effect on Open Source Efforts, Experts WarnKyle Wiggers | TechCrunchiThis could further concentrate power over the future of AI in large technology companies and prevent research that is critical to the publics understanding of AI, Alex Engler, the analyst at Brookings who published the piece, wrote. In the end, the [EUs] attempt to regulate open-source could create a convoluted set of requirements that endangers open-source AI contributors, likely without improving use of general-purpose AI.i

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This Week's Awesome Tech Stories From Around the Web (Through September 10) - Singularity Hub

Sex Scandals and the Evangelical Mind – ChristianityToday.com

When news of Matt Chandlers inappropriate online relationship popped up in my phone notifications last week, I was in the middle of a church staff retreat with my copastors, who are all male. I interrupted one of them to read the story aloud.

The news landed like a lead balloon between us, and then we came together as a group and talked about how stories like this make us feel and whether our own ministry friendships might be inappropriate.

The larger evangelical world was shaken too. Twitter exploded with a reanimated debate over the Billy Graham Rule, and many called on The Village Church to publicly release the investigation report. It is always best practice to release the result of an independent assessment, said Rachael Denhollander to The New York Times.

Gods call for truth and justice demand that leaders get to the bottom of what happened at The Village Church. But as one of the pastors of my local village-with-a-small-v church, thats not the most important story for me to pay attention to. The question that matters more is not What happened there? but Whats happening here, in me and among us, when we read stories like this?

More specifically, how do scandals both small and large distort our view of male-female friendships in Christ? And when we read these narrativesone after another in the midst of an ever-accruing abuse crisishow do our minds close off to the possibility of healthy brother-sister relationships in the church?

The stories we hear powerfully shape our imaginations, both positively and negatively.

For example, seeing Beth Moore teach the Bible has inspired a generation of women to pursue ministry they might not have otherwise considered. In the context of marriage, focusing on good stories from our shared pasts can help heal and improve those relationships. And on social justice issues, representation matters, because stories kindle our imagination for the diverse good thats possible.

But painful news of scandal and failure affect us, too. They disciple us to be afraid, says Catherine McNiel, author of Fearing Bravely. Those fears are both particular and personal: For the 1 in 3 women (and 1 in 4 men) who are survivors of sexual assault, reading headlines about abuse and impropriety might trigger deep-seated trauma.

For those in vocational ministry, these scandals can leave us feeling trapped in a Catch-22 situation.

It makes me second-guess everything I do, one male pastor shared with me. I could get in trouble for reaching out to a woman Im pastoring, or in trouble for failing to care for the flock if I dont. Im damned if I do, and damned if I dont.

Women feel a similar tension in the wake of community reactions to sexual scandal. Will we be frozen out as men retreat behind the safety lines of the Billy Graham Rule? Or will we get hurt if we stay engaged?

Horror stories of abuse and scandal trigger our lizard-brain fears, writes Russell Moore, and we run the risk of being paralyzed with despair. In those situations, says Bren Brown, always ask: Whats the story youre telling yourself?

For many men and women, the story they might be tellinglearned from headlines over the yearsis that any male-female relationship is fraught with danger.

A case like Chandlers yet again sends the message that men, especially pastors, cannot have healthy sibling relationships with women, writes Aimee Byrd, author of Why Cant We Be Friends? Be careful not to talk frequently with us! Be careful not to be too familiar with us! Be careful not to joke around us! You will not be above reproach.

In the wake of scandal and sin, our deep-seated desire to protect the church from future harm often works itself out in a fresh iteration of policies and principles that are meant to demarcate male-female boundaries. In this case, for example, some leaders instincts to double down on the Billy Graham Rule seems understandable.

But, as Ive written elsewhere, its not enough to legislate against sin. We need the Cross, and we need Gods grace. If all we do is avoid getting things wrong, we cant grow a community of thriving relationships. The fear of the Lordnot the fear of sinis the beginning of wisdom (Prov. 9:10).

Our news feeds contribute to this problem. A bad-news diet gives us a partial and distorted vision of whats possible. The stories out there tacitly teach us that healthy community isnt realistic or even desirable for my church in here.

Im concerned by this dynamic. Im concerned that when stories of scandal ring in our ears and wring out our hearts, our vision for what the community of faith could and should look like becomes stunted and malformed by fear. Im concerned that we despair, withdraw, and give up because our fear of getting it wrong overrules the command to love the brother and sister right next to us.

How, then, can we cultivate communities with healthy male-female relationships?

The gospel does instruct us to take an honest and unflinching look at sin, but it also calls us to look beyond it. We are brothers and sisters in Christ, and avoiding each other for fear of doing harm falls far short of what the Father envisions for his family.

Just as I ultimately want more from my marriage than to avoid having an affair, and I want more for my children than not landing in jail, so too the Scriptures call us to a bigger vision for church than We had no sex or abuse scandals. We are called to love one another, which includes but far exceeds the bar of Dont hurt each other.

To be clear, Im not suggesting that we avoid telling or reading stories of sin in the church. Im not advocating for naivet, gaslighting, or silencing. What I am saying is that we must take care to be formed by other stories too.

We need narratives that teach us what to aim for. We need a biblically based (but not fear-fueled) theology of men and women, fleshed out by real-life, godly examples of men and women in partnership together. And we need to seek out and share testimonies of health where we see them: places where men have not given up working with women, and where marriages can flourish without going all Billy Graham Rule or Bust.

Redirecting our gaze is critical to this project. The mission of God depends on men and women faithfully working together in gospel work. We cannot afford to shrink back from that work just because were too afraid to put our hand to the plough with someone of the opposite sex.

Testimonies of those whove done this well are gateways to hope, guiding our minds and imaginations back toward what is beautiful, lovely, excellent, true, and praiseworthy (Phil. 4:8). Proclaiming Gods faithfulness in the past is a powerful way to store up our hope in the future (see Psalms 105 and 106).

For example, when I first started dating, I quickly realized that my own upbringing had taught me firsthand how infidelity, addiction, and hostility could wreck things. When I tried to envision myself as a happily married person in my 70s, my imagination sputtered.

So as a 20-year-old student, I started working with a therapist, but I also went looking for incarnational stories of hope among our congregation. I invited myself to dinner and asked time-tested couples to tell me their stories. Slowly, my vision for what was possible grew.

The same holds true for male-female friendship. Ive seen it in my own work life. As my copastors and I sat together last week and talked about the news of yet another scandal, we felt the pull to shrug and sigh. We mourned and then half-joked about quitting.

But then we took the opportunity to reflect on our own relationships. We told one another stories of healthy male-female friendships from our own community and beyond. We gave reminders of decades-long marriages and fruitful ministry partnerships. And we told quiet stories of a long obedience in the same directionstories that would never make the news but that shored up our hope in Gods church.

Bronwyn Lea is the author of Beyond Awkward Side Hugs: Living as Christian Brothers and Sisters in a Sex-Crazed World and the pastor of discipleship and women at First Baptist Church of Davis.

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Sex Scandals and the Evangelical Mind - ChristianityToday.com

The power of awe and the cosmos | Stanford News – Stanford University News

The images to emerge from the James Webb Space Telescope have captured details of the cosmos never seen before, leaving the scientific community and public alike in a state of awe. In a Tweet, former President Barack Obama described them as mind-blowing. Even Stanford cosmologist Zeeshan Ahmed, for whom such images are commonplace, admitted: You cant contain it in your head. I think this is true for everybody I mean, scientists are human still.

NASAs James Webb Space Telescope has been able to show new, finer details of the galaxy group, Stephans Quintet. The rendering here was created from nearly 1,000 separate image files. (Image credit: NASA, ESA, CSA, STScI)

Awe is sort of this ineffable sense of transcendence, said Stanford neurosurgeon and compassion scholar James Doty. In some ways, you melt into it.

Scholars across disciplines have long sought to understand the stirring soul searching, even emotions the universe evokes. Some have described a shakiness they call cosmic vertigo. Others have used the term cosmic insignificance when confronted with ones littleness in a limitless universe. A few have found dwelling too long on such thoughts to be anxiety-inducing, an experience they label neuroexistentialism.

To describe how images from outer space can excite and expand the human mind, Stanford advanced lecturer in American studies Elizabeth Kessler, who studies the visual culture of astronomy, has found it useful to draw on the sublime, an aesthetic concept that the eighteenth-century philosopher Immanuel Kant associated with natural phenomena of vast size, scale, or power, such soaring mountains, deep abysses, plunging waterfalls, and the star-filled sky in trying to understand the emotions evoked in himself by the Milky Way and the starry heavens. For Kant, the experience of such immensity overwhelmed the senses, but human reason could transcend those limits, which made it an affirming experience that expanded knowledge and understanding.

A casual stroll across the university campus is enough to reveal the extent to which the universe can serve as a muse.

Seven art pieces at Stanford inspired by the wonder of the universe.

At Stanford, representations of outer space can be found beyond the research labs and classrooms of astrophysicists and cosmologists. Walk across the Engineering Quad Courtyard and one will encounter Alicja Kwades installation, Pars pro Toto, 12 human-sized stone planetary orbs that combine the geological with the cosmological to inspire new ways of thinking about the world. At the Cantor Arts Center, a cast of Auguste Rodins iconic thinker shines under the fluorescent glow of Spencer Finchs representation of the exploding Betelgeuse star. Wrapping the staircase to the David Rumsey Map Center at Green Library are reproductions of 17th-century star and constellation maps, beautifully blown up to emphasize figures from Greek mythology amid celestial heavens all reminders of humanitys place in the world and our connections to each other.

For Doty, who is also the founder and director of the Stanford Center for Compassion and Altruism Research and Education, of which His Holiness the Dalai Lama is the founding benefactor, awes power lies in its ability to make us feel connected to something much larger than ourselves.

James Doty (Image credit: Courtesy James Doty)

At the end of the day, we are all one, not only with each other but with every living being and in fact, with the universe, Doty said. The very nature of thinking about that, and understanding you are the part of this extraordinary thing that is going on around us, creates this deep sense of purpose and connection, and in some ways, happiness.

The transcendent experience of self-realization and oneness is also the basis of many religions, Doty points out. For example in Buddhism, there is a deep desire to attain enlightenment, which ultimately is about merging oneself with the universe.

According to Kessler, the art historian, who has examined the parallels between art and philosophy and astronomical images in her book, Picturing the Cosmos: Hubble Space Telescope Images and the Astronomical Sublime (University of Minnesota Press, 2012), astronomical images are crafted in a way to represent scientific data and evoke an aesthetic response.

Elizabeth Kessler (Image credit: Courtesy Elizabeth Kessler)

As Kessler learned in her interviews with the team that produced images for the Hubble Heritage Project, NASA wanted to circulate imagery that would inspire the general public, not just individuals working in science and technology. Like any representation, every astronomical image involves decisions about how to depict celestial phenomena captured by the telescope in a way that wont feel strange to audiences.

Astronomers and image processors carefully balance the need for a scientifically valid image with the desire for an aesthetically compelling one, said Kessler.

Because telescopes collect data too faint for our eyes to see and beyond the visible light spectrum (JWST primarily in infrared light, Hubble in visible and ultraviolet), their images are assigned colors in order for us to appreciate them more fully. Every color picture from JWST, for example, is actually a composite of at least three different monochrome images, each one collected using a filter that captures a different wavelength of infrared light. Exposures can last hours or even days. Each filter is then assigned a different color, which is combined into the final images that get circulated.

While any color can be mapped onto any wavelength, astronomers believe some color combinations work better than others. For example, in the Hubble Heritage Projects early rendition of the planetary nebula NGC 3132, the team experimented with an unconventional color scheme of pinks and yellows. But the end result didnt feel right, said astronomer Keith Noll in an interview with Kessler, so they used colors less strange and more typical of terrestrial worlds.

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The power of awe and the cosmos | Stanford News - Stanford University News