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Re-Directing Clinical Passion: Benefits and Pitfalls – Psychotherapy.net

I want to help people!

This is a desire that motivates all therapists in one form or another. Through direct service, we therapists help one individual, one couple, one family, and one group at a time. Depending on our caseload at any given moment, that adds up to a relatively small number compared to the number of people in our geographic region. We may also help people indirectly through teaching, supervising, writing, and consulting. These activities may help larger numbers of people, although we are less likely to see the fruits of our labors.

Through a series of chance circumstances, I had the opportunity to help, potentially, a much larger number of people. After being certified in hypnosis in 1997, I became interested in the growing academic psychological literature on virtual reality (VR). I noticed that hypnosis and VR have a number of elements in common, with both experiences giving access to alternative realities and both experiences feeling real.

While I was collaborating on research using VR, George Zimmerman was acquitted of Trayvon Martins murder. When some people responded to Black Lives Matter with white lives matter or all lives matter, I thought these comments reflected a profound lack of understanding of the lived experience of being Black in the U.S. (not that I presume to know the lived experience). I had the idea that VR could be used to help individuals understand the lived experiences of people different from themselves. I began discussing this idea with colleagues and others, offering my idea for others to do good in the world and to help people, if the idea was viable. To my surprise, a venture capitalist offered me enough money to do a proof-of-concept study to see whether the idea worked. I was thrilled. My hope was that if the data came out the way I hoped it would that I could make a difference on a bigger scale.

The study results were very promising and the reactions from participants were equally positive; we were able to change participants attitudes and deeply affect them so that they were more aware of how their biases affected others and were motivated and had new learning to treat people different from themselves more respectfully. These results left me facing a difficult choice. Should I close my practice and go full-time into the unchartered waters of building a company to provide this service as workplace training and the opportunity to make a difference on this scale, or let go of the idea and keep my practice open?

Values High

The opportunity to have a much bigger impact was enticing. In the language of Acceptance and Commitment Therapy (ACT), building a company to upskill employees for respectful and inclusive behavior, and making an impact on a large scale would be a values rush or high. How could I not choose to build the company?

If youve known entrepreneurs or start-up employees through your practice or personally, you know that startups are an emotional roller coaster. Id seen it firsthand with clients and family members but living it myself was a different story. Yet I felt it was all worthwhile. What we were building was powerful and could help employees treat each other more inclusively. It felt like I was on a mission in a way Id never experienced in my professional life.

The Downs

Right as we were about to launch the company to the public and start selling our program, COVID hit, with quarantines instituted for an unknown length of time. Work for most people moved from the office to the home. We struggled to adapt and survive. We figured out how to provide the VR experience so people could access it from home without a dedicated VR headset.

As we tried to sell our product to HR and DEI (diversity, equity, & inclusion) leaders, we found ourselves competing with higher priorities - companies were trying to address work fires about COVID-related remote work, as well as the murders of George Floyd, Ahmaud Arbery and Brionna Taylor and how these deaths affected employees. In the end, we didnt get the traction that Id hoped for.

The Values Crash

As the companys money was running low and not enough was coming in, it was heartbreaking for me to realize that three years of work (and no income) would not come to fruition. Instead of a values rush, it was a values crash. In building the company, Id felt a thrumming sense of purpose driven by the opportunity to influence many people on a deeper level. Now, I was looking at a return to doing clinical work, helping one individual, one couple at a time. I still loved my clinical work when I had left it behind three years earlier but returning to it felt like a let-down.

To me, to use a drug analogy, it was like going from a cocaine high to drinking weak tea. A bit of caffeine just didnt cut it. I spent weeks, months, in a funk, doing an ACT values worksheet and felt that I had no valuesat least not ones to which I wanted to take committed action. The fact that COVID continued to restrict life around me probably didnt help my outlook. I knew I was grieving, but that knowledge only took me so far. I set a date for myself: come January, Id start letting people know I was re-opening my practice.

In January, though, I was still struggling to find values and meaning in clinical work. Dont get me wrong. I like doing clinical work and feel Im generally helpful to people. But running a company was like directing a musical production with a full orchestra, while working directly with clients was like directing an intimate one-or-two-person show. Each activity is rewarding, but in different ways.

Talking with friends and family helped. Time helped. And getting intellectually stimulated about clinical work helped. I am someone who likes to do a deep dive into training and to learn a new set of skills or approach every few years. Three professional opportunities helped get me really excited about returning to clinical work.

Acceptance and Commitment TherapyI had it in my sights to get more training in ACT, an approach to therapy that, in part, helps people articulate and then live their values. It seemed an apt fit, given my values crash. I had the good fortune to be accepted into an ACT peer consultation training group with experienced clinicians. This wonderful group of clinicians and the training spurred me to think about my eclectic approach in a deeper way. I became excited to use the ACT approach and techniques with clients.

Discernment CounselingI also had the good fortune to watch videos of Bill Doherty, Ph.D. doing Discernment Counseling with a couple. Discernment Counseling is a specific modality for couples in which one or both spouses are considering divorce. The goal is to help the couple get clarity and confidence in the path theyd like to take their relationship. Id received this training before starting my company but stopped when I closed my practice. What an honor to learn from him! The videos left me re-engaged and eager to see more couples for discernment counseling.

Ethical Lives of ClientsThe third professional opportunity was hearing Bill Doherty speak about his recent book, which focuses on the ethical lives of clients that we, as therapists trained in an individualist culture, may not see or address. Reading his book and discussing his ideas with colleagues brought my systems training closer to the forefront, leading me to think more deeply about the ethical dilemmas our clients face that they may or may not see, and how to raise those issues.

Value Reflection

Although there are things Id have done differently with my company, Im proud of the work we did, and of what I learned. I know enough about the failure rate of startups to know that Im in good company with the failure of my company.

Im also thankful that I had the opportunity to re-find and re-commit to the values that initially led me to become a clinical psychologist and psychotherapist. Its exciting to be re-energized by the work as well as intellectually stimulated.

Useful References

Virtual Superheroes: Using Superpowers in Virtual Reality to Encourage Prosocial Behavior

Using Virtual Reality to Encourage Prosocial Behavior

VR for Civility Training: Envisioning a More Respectful Workplace

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Re-Directing Clinical Passion: Benefits and Pitfalls - Psychotherapy.net

A List Of All The Ways Fans Heckle Accused Cheater Patrick Reed – Defector

Before LIV Golf and its obscene amounts of oil money made lots of ordinary golfers into nihilistic heels, Patrick Reed stood alone as the most disliked man on the PGA Tour. Dating back to his college days at Georgia, before he was dismissed from the golf team and went to Augusta State, he was suspected by his teammates of being a cheater and a thief. As a pro, the cheating reputation became even more pronounced, especially after an incident where he was penalized for moving sand to improve his lie in 2019, as well as a controversial drop he took at a tournament he won last year.

Reed, who peaked in 2018 with a Masters win and a top-five U.S. Open finish, ditched the PGA Tour for LIV in June. But, evidently unsatisfied with the Saudi mountain of cash, Reed has now hit back at one of his critics by hiring a clown of a lawyer for an absurd $750 million lawsuit, filed in the U.S. District Court for the Southern District of Texas on Tuesday.

The suit, which can be read in all its glory here, alleges defamation by Golf Channel and one of its commentators, Brandel Chamblee. Chamblee has expressed strong negative feelings against LIV Golf, Mohammed bin Salman, and those who align themselves with this sportswashing venture, and hes also singled out Reed in the past for his rules controversies. His comments are very clearly all opinions, or reporting on what other people say, and cannot be considered defamation by any serious person. They have, however, led to this very fun rebuttal from Reed, which is pretty indicative of the corner that so many LIV golfers have backed themselves into.

Mr. Reed has never accepted blood money, and in no way supports terrorism and/or human rights violations, or murder, the lawsuit says.

If the suits consistent confusing of its and its wasnt enough to ridicule it, Reeds choice of lawyer certainly does the job. Larry Klayman, a long-disgraced litigator who doesnt get out of bed in the morning without filing a civil suit, was perhaps the only man antsy and shameless enough to take on such a pointless and frivolous task. Klaymans already attempted a class-action suit against the PGA Tour for its suspension of LIV golfers, but his more despicable greatest hits include an unending obsession with the lie that Barack Obama is a secret Muslim born outside the U.S., a claim that Black Lives Matter is responsible for igniting a race war, and other unsuccessful defamation lawsuits filed on behalf of such characters as George Zimmerman, Roy Moore, and Joe Arpaio. If Reed is concerned by the perception that hes an unscrupulous jerk who will keep company with anyone wholl help him make a buck, he certainly isnt clearing his name by aligning himself with Klayman.

Hopefully this suit will be quickly dismissed, but what will stick with me much longer than its arrogance is page seven, which includes a massive list of heckles that people have allegedly shouted at Reed while hes golfed. As the lawsuit so eloquently notes, These personal attacks occur frequently while Mr. Reed is actively preparing to make his golf shot, or during the golf shot, much less thereafter as he is walking to his next golf shot, as well as lining up and making putts on the green, which putts require a high degree of concentration. Here they are in order:

Now that we know Reed is trigger-happy with defamation lawsuits, it might be wise to take some care when interacting with him. So when Patrick Reed is actively preparing to make his golf shot, or during the golf shot, much less thereafter as he is walking to his next golf shot, as well as lining up and making putts on the green, which putts require a high degree of concentration, please do not yell at him, Why dont you introduce your children to their grandparents you ungrateful bitch?!

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A List Of All The Ways Fans Heckle Accused Cheater Patrick Reed - Defector

Researchers Using Artificial Intelligence to Assist With Early Detection of Autism Spectrum Disorder – University of Arkansas Newswire

Photo by University Relations

Khoa Luu and Han-Seok Seo

Could artificial intelligence be used to assist with the early detection of autism spectrum disorder? Thats a question researchers at the University of Arkansas are trying to answer. But theyre taking an unusual tack.

Han-Seok Seo, an associate professor with a joint appointment in food science and the UA System Division of Agriculture, and Khoa Luu, an assistant professor in computer science and computer engineering, will identify sensory cues from various foods in both neurotypical children and those known to be on the spectrum. Machine learning technology will then be used to analyze biometric data and behavioral responses to those smells and tastes as a way of detecting indicators of autism.

There are a number of behaviors associated with ASD, including difficulties with communication, social interaction or repetitive behaviors. People with ASD are also known to exhibit some abnormal eating behaviors, such as avoidance of some if not many foods, specific mealtime requirements and non-social eating. Food avoidance is particularly concerning, because it can lead to poor nutrition, including vitamin and mineral deficiencies. With that in mind, the duo intend to identify sensory cues from food items that trigger atypical perceptions or behaviors during ingestion. For instance, odors like peppermint, lemons and cloves are known to evoke stronger reactions from those with ASD than those without, possibly triggering increased levels of anger, surprise or disgust.

Seo is an expert in the areas of sensory science, behavioral neuroscience, biometric data and eating behavior. He is organizing and leading this project, including screening and identifying specific sensory cues that can differentiate autistic children from non-autistic children with respect to perception and behavior. Luu isan expert in artificial intelligence with specialties in biometric signal processing, machine learning, deep learning and computer vision. He will develop machine learning algorithms for detecting ASD in children based on unique patterns of perception and behavior in response to specific test-samples.

The duo are in the second year of a three-year, $150,000 grant from the Arkansas Biosciences Institute.

Their ultimate goalis to create an algorithm that exhibits equal or better performance in the early detection of autism in children when compared to traditional diagnostic methods, which require trained healthcare and psychological professionals doing evaluations, longer assessment durations, caregiver-submitted questionnaires and additional medical costs. Ideally, they will be able to validate a lower-cost mechanism to assist with the diagnosis of autism. While their system would not likely be the final word in a diagnosis, it could provide parents with an initial screening tool, ideally eliminating children who are not candidates for ASD while ensuring the most likely candidates pursue a more comprehensive screening process.

Seo said that he became interested in the possibility of using multi-sensory processing to evaluate ASD when two things happened: he began working with a graduate student, Asmita Singh, who had background in working with autistic students, and the birth of his daughter. Like many first-time parents, Seo paid close attention to his newborn baby, anxious that she be healthy. When he noticed she wouldnt make eye contact, he did what most nervous parents do: turned to the internet for an explanation. He learned that avoidance of eye contact was a known characteristic of ASD.

While his child did not end up having ASD, his curiosity was piqued, particularly about the role sensitivities to smell and taste play in ASD. Further conversations with Singh led him to believe fellow anxious parents might benefit from an early detection tool perhaps inexpensively alleviating concerns at the outset. Later conversations with Luu led the pair to believe that if machine learning, developed by his graduate student Xuan-Bac Nguyen, could be used to identify normal reactions to food, it could be taught to recognize atypical responses, as well.

Seo is seeking volunteers 5-14 years old to participate in the study. Both neurotypical children and children already diagnosed with ASD are needed for the study. Participants receive a $150 eGift card for participating and are encouraged to contact Seo athanseok@uark.edu.

About the University of Arkansas:As Arkansas' flagship institution, the UofA provides an internationally competitive education in more than 200 academic programs. Founded in 1871, the UofA contributes more than$2.2 billion to Arkansas economythrough the teaching of new knowledge and skills, entrepreneurship and job development, discovery through research and creative activity while also providing training for professional disciplines. The Carnegie Foundation classifies the UofA among the few U.S. colleges and universities with the highest level of research activity.U.S. News & World Reportranks the UofA among the top public universities in the nation. See how the UofA works to build a better world atArkansas Research News.

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Researchers Using Artificial Intelligence to Assist With Early Detection of Autism Spectrum Disorder - University of Arkansas Newswire

Artificial intelligence will soon turn your dreams into video games, expert claims… – The US Sun

THE EXECUTIVE of an intelligence research lab has visions of programs intertwining with dreams.

The expectations for artificial intelligence in gaming are getting higher as chips and relevant technologies improve at a stunning pace.

1

Midjourney is an AI research lab that bills itself as "expanding the imaginative powers of the human species."

Their products demonstrate the many uses of AI, but CEO David Holz's vision is of programs that do more than turn words into images.

"You'll be able to buy a console with a giant AI chip and all the games will bedreams," Holz told PCGamer.

Easier said than done, but Midjourney's advisors include the CEO of the coding powerhouse Github and the creator of Second Life, one of the first encompassing virtual worlds.

"In theory, the barriers between consuming something and creating something fall away, and it becomes like liquid imagination flowing around the room," Holz continued.

Holz and Midjourney have a roadmap for taking these high-minded, philosophical applications of AI and making them real.

"Everything between now and then is a combination of increasing the quality, being able to do things like 3D, making things faster, making things higher resolution, and having smaller and smaller chips doing more and more stuff."

PCGamer's interview with Holz comes on the heels of a major breakthrough in computer chip development that could enable AI programs to be stored on locally instead of the cloud.

This would make wearables, like VR headsets used for gaming, better suited to run AI programs and taking a step toward AI doing more with a smaller footprint.

There have been flashes of terror over AI's power and Midjourney's own programs spat out a horrifying image when prompted to create the "last selfie ever taken".

Holz addressed the paranoia regarding AI and said "We're not trying to build God, we're trying to amplify the imaginative powers of the human species,"in his discussion with PCGamer.

Holz's dream-generated AI might seem like a long way off, but astechnologygets more advanced, society and industry are better equipped to improve technology faster and more drastically.

Brain-chip companies have begun human trials and Elon Musk tweeted that his brain-chip company Neuralink would have a "progress update show & tell" announcement on October 31

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Artificial intelligence will soon turn your dreams into video games, expert claims... - The US Sun

Artificial Intelligence (AI) In Drug Discovery Global Market Report 2022: Rising Adoption of Cloud-Based Applications and Services & Need to…

DUBLIN--(BUSINESS WIRE)--The "Artificial Intelligence (AI) In Drug Discovery Global Market Opportunities And Strategies To 2031: COVID-19 Growth And Change" report has been added to ResearchAndMarkets.com's offering.

The global artificial intelligence (AI) in drug discovery market reached a value of nearly $791.8 million in 2021, having increased at a compound annual growth rate (CAGR) of 31.0% since 2016. The market is expected to grow from $791.8 million in 2021 to $2,994.5 million in 2026 at a rate of 30.5%. The market is then expected to grow at a CAGR of 25.4% from 2026 and reach $9,293.0 million in 2031.

Growth in the historic period in the artificial intelligence (AI) in drug discovery market resulted from growing adoption of artificial intelligence (AI) for cost efficient drug discovery, growing number of cross-industry collaborations and partnerships, and increasing use of artificial intelligence (AI) for tracking medication adherence. The market was restrained by shortage of skilled labor, challenges due to regulatory changes, low healthcare access, and high rate of AI project failures.

Going forward, rising adoption of cloud-based applications and services, increasing need to control drug discovery & development costs and reduce the overall time, and government initiatives in developing economies will drive market growth. Factors that could hinder the growth of the market in the future include incompatible legacy health IT infrastructure.

North America was the largest region in the artificial intelligence (AI) in drug discovery market, accounting for 44.0% of the total in 2021. It was followed by the Asia Pacific, Western Europe and then the other regions. Going forward, the fastest-growing regions in the artificial intelligence (AI) in drug discovery market will be South America and Asia Pacific where growth will be at CAGRs of 40.0% and 37.2% respectively during 2021-2026. These will be followed by Africa and Western Europe, where the markets are expected to register CAGRs of 34.4% and 33.2% respectively during 2021-2026.

The global artificial intelligence (AI) in drug discovery market is concentrated, characterized by the presence of global artificial intelligence (AI) in drug discovery providers. The top ten competitors in the market made up to 50.21% of the total market in 2020. Artificial intelligence (AI) has the potential to transform the pharmaceutical industry.

The top opportunities in the artificial intelligence (AI) in drug discovery market segmented by technology will arise in deep learning segment, which will gain $747.0 million of global annual sales by 2026. The top opportunities in the artificial intelligence (AI) in drug discovery market segmented by drug type will arise in small molecules segment, which will gain $1,287.0 million of global annual sales by 2026.

The top opportunities in the artificial intelligence (AI) in drug discovery market segmented by therapeutic type will arise in other diseases segment, which will gain $480.2 million of global annual sales by 2026. The top opportunities in the artificial intelligence (AI) in drug discovery market segmented by end-users will arise in pharmaceutical companies segment, which will gain $1,028.0 million of global annual sales by 2026. The artificial intelligence (AI) in drug discovery market size will gain the most in the USA at $621.3 million.

Scope

Markets Covered:

1) By Technology: Context-Aware Processing; Natural Language Processing; Querying Method; Deep Learning

2) By Drug Type: Small Molecule; Large Molecules

3) By Therapeutic Type: Metabolic Disease; Cardiovascular Disease; Oncology; Neurodegenerative Diseases; Respiratory Diseases; Anti-Infective Diseases; Other Therapeutic Areas

4) By End-Users: Pharmaceutical Companies; Biopharmaceutical Companies; Academic And Research Institutes; Others

Key Topics Covered:

1. Artificial Intelligence (AI) In Drug Discovery Market Executive Summary

2. Table of Contents

3. List of Figures

4. List of Tables

5. Report Structure

6. Introduction

7. Artificial Intelligence (AI) In Drug Discovery Market Characteristics

8. Artificial Intelligence (AI) In Drug Discovery Market Trends And Strategies

9. Impact Of COVID-19 On Artificial Intelligence (AI) In Drug Discovery

10. Global Artificial Intelligence (AI) In Drug Discovery Market Size And Growth

11. Global Artificial Intelligence (AI) In Drug Discovery Market Segmentation

12. Artificial Intelligence (AI) In Drug Discovery Market, Regional And Country Analysis

13. Asia-Pacific Artificial Intelligence (AI) In Drug Discovery Market

14. Western Europe Artificial Intelligence (AI) In Drug Discovery Market

15. Eastern Europe Artificial Intelligence (AI) In Drug Discovery Market

16. North America Artificial Intelligence (AI) In Drug Discovery Market

17. South America Artificial Intelligence (AI) In Drug Discovery Market

18. Middle East Artificial Intelligence (AI) In Drug Discovery Market

19. Africa Artificial Intelligence (AI) In Drug Discovery Market

20. Artificial Intelligence (AI) In Drug Discovery Market Competitive Landscape

21. Key Mergers And Acquisitions In The Artificial Intelligence (AI) In Drug Discovery Market

22. Artificial Intelligence (AI) In Drug Discovery Market Opportunities And Strategies

23. Artificial Intelligence (AI) In Drug Discovery Market, Conclusions And Recommendations

24. Appendix

Companies Mentioned

For more information about this report visit https://www.researchandmarkets.com/r/rzodj8

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Artificial Intelligence (AI) In Drug Discovery Global Market Report 2022: Rising Adoption of Cloud-Based Applications and Services & Need to...