Monday, October 31, 2022

Artificial Intelligence Answers the Call for Quail Information

From:  University of Georgia

October 18, 2022 -- When states want to gauge quail populations, the process can be grueling, time-consuming and expensive. It means spending hours in the field listening for calls. Or leaving a recording device in the field to catch what sounds are made -- only to spend hours later listening to that audio. Then, repeating this process until there's enough information to start making population estimates. But a new model aims to streamline this process. By using artificial intelligence to analyze terabytes of recordings for quail calls, the process gives wildlife managers the ability to gather the data they need in a matter of minutes.

"The model is very accurate, picking up between 80% and 100% of all calls even in the noisiest recordings. So, you could take a recording, put it through our model and it will tell you how many quail calls that the recorder heard," said James Martin, an associate professor at the UGA Warnell School of Forestry and Natural Resources who has been working on the project, in collaboration with the Georgia Department of Natural Resources, for about five years. "This new model allows you to analyze terabytes of data in seconds, and what that will allow us to do is scale up monitoring, so you can literally put hundreds of these devices out and cover a lot more area and do so with a lot less effort than in the past."

The software represents about five years of work by Martin, postdoctoral researcher Victoria Nolan and numerous key contributors who have worked with a code writer to create the model. It's also part of a larger shift taking place in the field of wildlife research, where computer algorithms are now assisting with work that once took humans thousands of hours to complete.

Increasingly, computers are getting smarter at, for example, identifying specific noises or certain traits in photos and sound recordings. For researchers such as Martin, it means hours once spent on tasks such as listening to audio or looking at game camera images can now be done by a computer, freeing up valuable time to focus on other aspects of a project.

The new tool can also be a valuable resource for state and federal agencies looking for information on their quail populations, but with limited funds to spend on any one project. "So, I think this is something states might jump on as far as replacing their current monitoring with acoustic recording devices," added Martin.

The software's success was recently documented by the Journal of Remote Sensing in Ecology and Conservation.

As the software gets more use and is exposed to sounds from new geographic areas, Martin said, it gets even "smarter." As it is, quail offer several different kinds of calls. But when the software is exposed to a variety of sounds that aren't quail, he said, it's better able to distinguish the correct calls from the ambient noises of the grasses and trees around them.

Over time, the software will grow more discerning.

"So that's why you have to keep giving it training data, and when you move geographies, you encounter new sounds that you didn't train the model for," he added. "It's always about adaption."

        https://www.sciencedaily.com/releases/2022/10/221018131139.htm

 

Sunday, October 30, 2022

Rishi Sunak, Prime Minister of the United Kingdom

Rishi Sunak, (born 12 May 1980), is a British politician who has served as Prime Minister of the United Kingdom since 25 October 2022 and Leader of the Conservative Party\ since 24 October 2022. Sunak served as Chancellor of the Exchequer from 2020 to 2022 and Chief Secretary to the Treasury from 2019 to 2020, and he has been Member of Parliament (MP) for Richmond (Yorks) since 2015.

Sunak was born in Southampton to parents of Indian descent who migrated to Britain from East Africa in the 1960s.  He was educated at Winchester College, studied philosophy, politics and economics (PPE) at

Lincoln College, Oxford, and earned an MBA from Stanford University as a Fulbright Scholar. While at Stanford, he met his future wife Akshata Murty, the daughter of Indian billionaire N. R. Narayana Murthy of Infosys.  After graduating, Sunak worked for Goldman Sachs and later as a partner at the hedge fund firms The Children's Investment Fund Management and Theleme Partners.

Sunak was elected to the House of Commons for Richmond in North Yorkshire at the 2015 general election, succeeding William Hague. Sunak supported Brexit in the 2016 referendum on EU membership.  He was appointed to Theresa

, Sunak was appointed Chief Secretary to the Treasury. Sunak replaced Sajid Javid as Chancellor of the May's second government as Parliamentary Under-Secretary of State for Local Government in the 2018 reshuffle.  He voted three times in favour of May's Brexit withdrawal agreement.

After May resigned, Sunak supported Boris Johnson's campaign to become Conservative leader. After Johnson became Prime MinisterExchequer after Javid's resignation in the February 2020 cabinet reshuffle.  As Chancellor, Sunak was prominent in the government's financial response to the COVID-19 pandemic and its economic impact, including the Coronavirus Job Retention and Eat Out to Help Out schemes.  He resigned as chancellor in July 2022, followed by Johnson's resignation amid a government crisis.

Sunak stood in the Conservative party leadership election to replace Johnson, and lost the members' vote to Liz Truss.  After Truss's resignation amid a credibility crisis, Sunak was elected unopposed as Leader of the Conservative Party.  He was appointed Prime Minister by King Charles III, the first to be appointed during his reign, on 25 October 2022, becoming the first British Asian and Hindu to hold that position.

Early Life and Education

Sunak was born on 12 May 1980 in Southampton General Hospital in Southampton, Hampshire, to Southeast African-born Hindu parents of Indian Punjabi descent, Yashvir and Usha Sunak.  Rishi Sunak attended Stroud School, a preparatory school in Romsey, and Winchester College, a boys' independent boarding school, where he was head boy.  He was a waiter at a curry house in Southampton during his summer holidays.  He read Philosophy, Politics and Economics at Lincoln College, Oxford, graduating with a first in 2001.  During his time at university, he undertook an internship at Conservative Campaign Headquarters.  In 2006, he gained an MBA from Stanford University, where he was a Fulbright scholar.

Sunak's grandfathers were both born in Punjab province, British India, and emigrated to East Africa.  His grandparents migrated with their families to the United Kingdom in the 1960s.

His father, Yashvir Sunak, was born and raised in the Colony and Protectorate of Kenya (present-day Kenya), and is a general practitioner in the National Health Service.  His mother, Usha Sunak, born in Tanganyika (which later became part of Tanzania), is currently the director and pharmacist at the Sunak Pharmacy in Southampton and has a degree from Aston University.  They married in 1977 in Leicester.

Rishi Sunak is the eldest of three siblings.  His brother, Sanjay (born 1982), is a psychologist and his sister, Raakhi Williams (born 1985), works in New York as chief of strategy and planning at the United Nations global fund for education in emergencies.

        https://en.wikipedia.org/wiki/Rishi_Sunak

 

  

Saturday, October 29, 2022

The Happiest Generation

A recent survey looks at generational differences in perceived well-being.

From David Rettrew, M.D.

October 28, 2022, reported in Psychology Today

KEY POINTS

  • According to a new survey, self-reported well-being increases linearly with age.
  • The widest gaps were found between the Silent Generation and the GenZers, with the other generations in between.
  • These data suggest that the youngest generation, Gen Z, reports the lowest levels of well-being across different dimensions.

https://www.psychologytoday.com/us/blog/abcs-child-psychiatry/202210/which-is-the-happiest-generation

  

Friday, October 28, 2022

Naturally Occurring Compound Kills Major Drug Resistant Bacteria

Researchers say hydroquinine could be an effective weapon against a germ that can cause serious infections in humans, mostly hospital patients

From:  University of Portsmouth

October 28, 2011 -- Scientists analyzing the effects of an organic compound on drug resistance bacteria have discovered how it can inhibit and kill a germ that causes serious illness or in some cases death.

Pseudomonas aeruginosa is a type of bacteria, often found in hospital patients, which can lead to infections in the blood, lungs (pneumonia), or other parts of the body after surgery.

Hydroquinine, an organic compound found in the bark of some trees, was recently found to have bacterial killing activity against the germ and several other clinically important bacteria, including Staphylococcus aureus, Escherichia coli, and Klebsiella pneumoniae.

The team behind the discovery, from the University of Portsmouth and Naresuan and Pibulsongkram Rajabhat Universities in Thailand, have now explored the molecular responses of Pseudomonas aeruginosa strains to hydroquinine. They did this by looking at which genes were switched on and which were switched off in response to the drug.

The new study, published in Antibiotics, revealed hydroquinine significantly alters the expression levels of virulence factors Pseudomonas aeruginosa. It also suggests the compound interferes with the assembly and movement of the bacteria.

Dr Robert Baldock from the School of Pharmacy and Biomedical Sciences at the University of Portsmouth, said: "There's quite a long list of antibiotics that don't work on Pseudomonas. aeruginosa, but our experiments found some of the genes governing the motility of the bacterium were quite drastically switched off by hydroquinine. Biofilm formation and the swarming and swimming of the germ were significantly reduced.

"If we know that this drug is working in a really unique or different way then it firstly explains why it's active on these drug-resistant cells, but it also means that you can potentially look at combining it with other existing antibiotics to make them more effective."

Drug-resistant bacteria occur in more than 2.8 million infections and are responsible for 35,000 deaths per year. Antimicrobial resistance happens when germs change over time and no longer respond to medicines, making it difficult to treat infections.

Amoxicillin and Trimethoprim are commonly prescribed antibiotics that certain strains of Pseudomonas. aeruginosa have become resistant to. Hydroquinine is already known to be an effective agent against malaria in humans, and it is also being used in the Netherlands to treat nocturnal muscle cramps. Until now there has been little investigation into its drug-resistant properties.

Dr Jirapas Jongjitwimol from the Department of Medical Technology at Naresuan University added: "Antimicrobial resistance has become one of the greatest threats to public health globally, so to discover an organic compound has the potential to be used as an effective weapon in the fight is very exciting.

"We now need to look at how the compound works against a wider variety of bacterial strains so that we better understand why some germs are affected or not affected by it."

How naturally-occurring compound kills major drug-resistant bacteria: Researchers say hydroquinine could be an effective weapon against a germ that can cause serious infections in humans, mostly hospital patients -- ScienceDaily

  

Wednesday, October 26, 2022

Why Do Self-Driving Cars Crash?

ECE professor Rick Blum seeks to inject cybersecurity at every level of the autonomous vehicle networks of the future

From:  Lehigh University P.C. College of  Engineering and Applied Science

October 25, 2022 -- Whether they are built by billionaires plagued by social media addictions, or long-standing corporations of the traditional automotive industry, self-driving vehicles are the future of moving people and stuff.

As they traverse the air, land, or sea, encountering one another or other obstacles, these autonomous vehicles will need to talk to each other. And even cars with actual drivers could benefit from the ability to work together to avoid calamity and assure efficiency. Temporary, ad hoc networks will form around sets of vehicles and the onboard sensors and communications technology that allow them to navigate; they will interact, enabling them all to “see” one another and react accordingly.

“The current trend toward incorporating powerful sensors and communications to form vehicle networks has tremendous potential,” says Rick Blum, the Robert W. Wieseman Professor of Electrical and Computer Engineering at Lehigh University. “But it also has the potential to create a cybersecurity nightmare―or worse. Developing theory around the impact and mitigation of cyberattacks on networks of autonomous and human driven vehicles is critical and urgent, and further study is greatly needed.”

Blum intends to drive that study forward through a new three-year, $500,000 grant from the Office of Naval Research entitled “Cybersecurity in Dynamic Multiple Agent Vehicle Networks.” The project has an official start date of August 1, 2022.

“This project hopes to show that incorporating powerful sensors and communications to form vehicle networks can actually provide greatly enhanced cybersecurity―if these resources are used properly,” says Blum. “While autonomous vehicles are typically tested for deployment just by driving them, this testing alone will not provide suitable information on cyberattack vulnerability.”

In this effort, Blum and his team will develop theory and algorithms for “near optimum low complexity cyberattack mitigation” on sensor-equipped networks of autonomous and human-driven vehicles.

“These algorithms will employ engineering models coupled with unsupervised and supervised machine learning and incorporate all relevant information,” he continues. “The incorporation of engineering models will allow the overall process to be interpretable, which is important for trust in such dangerous cyber physical systems.”

About Rick Blum

Prof. Rick Blum holds the Robert W. Wieseman Endowed Professorship in Electrical Engineering at Lehigh University. He was the lead PI for Lehigh’s DoE Cybersecurity Center (SEEDs) and directed the Integrated Networks for Electricity Cluster. He is director of Lehigh's Signal Processing and Communication Research Lab and is a former director of the Energy Systems Engineering Institute.

His group contributes to the foundational theory of machine learning and statistical decision-making, and illustrates this theory and its related algorithms by employing the application areas of cybersecurity, Internet of Things, cyber physical systems, sensor networking, energy networks, communications, radar, and sensor processing.

Prior to joining the Lehigh faculty, he was a senior member of technical staff at General Electric Aerospace and graduated from GE’s Advanced Course in Engineering. He served on the editorial board for the Journal of Advances in Information Fusion of the International Society of Information Fusion. He was an associate editor for IEEE Transactions on Signal Processing and IEEE Communications Letters. He has edited special issues for IEEE Transactions on Signal ProcessingIEEE Journal of Selected Topics in Signal Processing, and IEEE Journal on Selected Areas in Communications. He was a member of the SAM Technical Committee (TC) of the IEEE Signal Processing Society, the Signal Processing for Communications TC of the IEEE Signal Processing Society, and the Communications Theory TC of the IEEE Communication Society.

Blum is an IEEE Fellow, an IEEE Signal Processing Society Distinguished Lecturer, an IEEE Third Millennium Medal winner, and an ONR Young Investigator.

Related Links: 

Faculty Profile: Rick S. Blum

Lehigh University: Signal Processing and Communication Research Lab

The above news story comes from this link:  https://engineering.lehigh.edu/news/article/why-do-self-driving-cars-crash

 

Tuesday, October 25, 2022

The Next Wonder Semiconductor

With scanning ultrafast electron microscopy, researchers unveil promising hot photocarrier transport properties of cubic boron arsenide

From:  University of California - Santa Barbara

October 25, 2022 -- In a study that confirms its promise as the next-generation semiconductor material, UC Santa Barbara researchers have directly visualized the photocarrier transport properties of cubic boron arsenide single crystals.

"We were able to visualize how the charge moves in our sample," said Bolin Liao, an assistant professor of mechanical engineering in the College of Engineering. Using the only scanning ultrafast electron microscopy (SUEM) setup in operation at a U.S. university, he and his team were able to make "movies" of the generation and transport processes of a photoexcited charge in this relatively little-studied III-V semiconductor material, which has recently been recognized as having extraordinary electrical and thermal properties. In the process, they found another, beneficial property that adds to the material's potential as the next great semiconductor.

Their research, conducted in collaboration with physics professor Zhifeng Ren's group at the University of Houston, who specialize in fabricating high-quality single crystals of cubic boron arsenide, appears in the journal Matter.

'Ringing the Bell'

Boron arsenide is being eyed as a potential candidate to replace silicon, the computer world's staple semiconductor material, due to its promising performance. For one thing, with an improved charge mobility over silicon, it easily conducts current (electrons and their positively charged counterpart, "holes"). However, unlike silicon, it also conducts heat with ease.

"This material actually has 10 times higher thermal conductivity than silicon," Liao said. This heat conducting -- and releasing -- ability is particularly important as electronic components become smaller and more densely packed, and pooled heat threatens the devices' performance, he explained.

"As your cellphones become more powerful, you want to be able to dissipate the heat, otherwise you have efficiency and safety issues," he said. "Thermal management has been a challenge for a lot of microelectronic devices."

What gives rise to the high thermal conductivity of this material, it turns out, can also lead to interesting transport properties of photocarriers, which are the charges excited by light, for example, in a solar cell. If experimentally verified, this would indicate that cubic boron arsenide can also be a promising material for photovoltaic and light detection applications. Direct measurement of photocarrier transport in cubic boron arsenide, however, has been challenging due to the small size of available high-quality samples.

The research team's study combines two feats: The crystal growth skills of the University of Houston team, and the imaging prowess at UC Santa Barbara. Combining the abilities of the scanning electron microscope and femtosecond ultrafast lasers, the UCSB team built what is essentially an extremely fast, exceptionally high-resolution camera.

"Electron microscopes have very good spatial resolution -- they can resolve single atoms with their sub-nanometer spatial resolution -- but they're typically very slow," Liao said, noting this makes them excellent for capturing static images.

"With our technique, we couple this very high spatial resolution with an ultrafast laser, which acts as a very fast shutter, for extremely high time resolution," Liao continued. "We're talking about one picosecond -- a millionth of a millionth of a second. So we can make movies of these microscopic energy and charge transport processes." Originally invented at Caltech, the method was further developed and improved at UCSB from scratch and now is the only operational SUEM setup at an American university.

        https://www.sciencedaily.com/releases/2022/10/221025150242.htm

Monday, October 24, 2022

One in Ten Older Americans Has Dementia

From:  Columbia University Irving Medical Center

October 24, 2022 -- In the first nationally representative study of cognitive impairment prevalence in more than 20 years, Columbia University researchers have found almost 10% of U.S. adults ages 65 and older have dementia, while another 22% have mild cognitive impairment. People with dementia and mild cognitive impairment are more likely to be older, have lower levels of education, and to be racialized as Black or Hispanic. Men and women have similar rates of dementia and mild cognitive impairment.

Although dementia and mild cognitive impairment are known to be common in the United States, accurate, up-to-date measures of their national prevalence were scarce.

"Such data are critical for understanding the causes, costs, and consequences of dementia and mild cognitive impairment in the United States, and for informing policies aimed at reducing their impact on patients, families, and public programs," says Jennifer J. Manly, PhD, the study's lead author and professor of neuropsychology in neurology at the Gertrude H. Sergievsky Center and the Taub Institute for Research on Alzheimer's Disease and the Aging Brain at Columbia University.

Dementia rate 35% among people in their 90s

The study was based on data on 3,500 individuals enrolled in the nationally representative Health and Retirement Study. Between 2016 and 2017, each participant completed a comprehensive set of neuropsychological tests and in-depth interviews, which were used to develop an algorithm for diagnosing dementia or mild cognitive impairment.

Dementia and Mild Cognitive Impairment

Dementia is characterized by cognitive difficulties that begin in adulthood and affect a person's ability to independently perform everyday activities. Mild cognitive impairment is a classification assigned to people who are thought to be transitioning between normal aging and dementia, but not everyone who has mild cognitive impairment will go on to develop dementia.

Rates of dementia and mild cognitive impairment rose sharply with age: 3% of people between 65 and 69 had dementia, rising to 35% for people age 90 and over.

"With increasing longevity and the aging of the Baby Boom generation, cognitive impairment is projected to increase significantly over the next few decades, affecting individuals, families, and programs that provide care and services for people with dementia," Manly says.

The economic impact of dementia, including unpaid family caregiving, is estimated to be $257 billion per year in the United States and $800 billion worldwide.

Disparities in cognitive impairment are driven by exposure to structural and social inequalities

Unlike previous large studies of dementia in the United States, participants in the new study are representative of older adults, enabling researchers to examine differences in the national prevalence of dementia and mild cognitive impairment by age, race and ethnicity, gender, and education.

The data show a disproportionate burden of dementia among older adults who self-identified as Black or African American, of mild cognitive impairment among older adults who identify as Hispanic, and both categories of cognitive impairment among people who had fewer opportunities to obtain education.

"Dementia research in general has largely focused on college-educated people who are racialized as white," says Manly. "This study is representative of the population of older adults and includes groups that have been historically excluded from dementia research but are at higher risk of developing cognitive impairment because of structural racism and income inequality. If we're interested in increasing brain health equity in later life, we need to know where we stand now and where to direct our resources."

        https://www.sciencedaily.com/releases/2022/10/221024131046.htm

 

Sunday, October 23, 2022

Study Uses AI to Predict Fragility of Power Grid Networks

Double trouble when two disasters strike electrical transmission infrastructure

From:  Ohio State University

October 21, 2022 -- One natural disaster can knock out electric service to millions. A new study suggests that back-to-back disasters could cause catastrophic damage, but the research also identifies new ways to monitor and maintain power grids.

Researchers at The Ohio State University have developed a machine learning model for predicting how susceptible overhead transmission lines are to damage when natural hazards like hurricanes or earthquakes happen in quick succession.

An essential facet of modern infrastructure, steel transmission towers help send electricity across long distances by keeping overhead power lines far off the ground. After severe damage, failures in these systems can disrupt networks across affected communities, taking anywhere from a few weeks to months to fix.

The study, published in the journal Earthquake Engineering and Structural Dynamics, uses simulations to analyze what effect prior damage has on the performance of these towers once a second hazard strikes. Their findings suggest that previous damage has a considerable impact on the fragility and reliability of these networks if it can't be repaired before the second hazard hits, said Abdollah Shafieezadeh, co-author of the study and an associate professor of civil, environmental and geodetic engineering.

"Our work aims to answer if it's possible to design and manage systems in a way that not only minimizes their initial damage but enables them to recover faster," said Shafieezadeh.

The machine learning model not only found that a combination of an earthquake and hurricane could be particularly devastating to the electrical grid, but that the order of the disasters may make a difference. The researchers found that the probability of a tower collapse is much higher in the event of an earthquake followed by a hurricane than the probability of failure when the hurricane comes first and is followed by an earthquake.

That means while communities would certainly suffer some setbacks in the event that a hurricane precedes an earthquake, a situation wherein an earthquake precedes a hurricane could devastate a region's power grid. Such conclusions are why Shafieezadeh's research has large implications for disaster recovery efforts.

"When large-scale power grid systems are spread over large geographic areas, it's not possible to carefully inspect every inch of them very carefully," said Shafieezadeh. "Predictive models can help engineers or organizations see which towers have the greatest probability of failure and quickly move to improve those issues in the field."

After training the model for numerous scenarios, the team created "fragility models" that tested how the structures would hold up under different characteristics and intensities of natural threats. With the help of these simulations, researchers concluded that tower failures due to a single hazardous event were vastly different from the pattern of failures caused by multi-hazard events. The study noted that many of these failings occurred in the leg elements of the structure, a segment of the tower that helps bolt the structure to the ground and prevents collapse.

Overall, Shafieezadeh said his research shows a need to focus on re-evaluating the entire design philosophy of these networks. Yet to accomplish such a task, much more support from utilities and government agencies is needed.

"Our work would be greatly beneficial in creating new infrastructure regulations in the field," Shafieezadeh said. "This along with our other research shows that we can substantially improve the entire system's performance with the same amount of resources that we spend today, just by optimizing their allocation."

This work was supported by the Korea Institute of Energy Technology Evaluation and Planning (KETEP) and the Ministry of Trade, Industry & Energy of the Republic of Korea (MOTIE).

        https://www.sciencedaily.com/releases/2022/10/221021132724.htm

 


Saturday, October 22, 2022

Free Will Is Not an Illusion

Denis Noble on how our bodies give us freedom

From:  IAI News

By Alexis Papazoglou, Editor for IAI News, October 21, 2022

“My genes made me do it” encapsulates how many geneticists, following the footsteps of Richard Dawkins, think of our genome’s relationship to us: complete control over our mind and body. That seemingly leaves no room for free will, relegating it to a mere illusion. At the HowTheLightGetsIn festival in London last month, distinguished biologist Denis Noble sought to dismantle this picture. Our bodies, argued Noble, exhibit agency, an ability to choose between alternatives, even at the cell level, dispelling the idea that we’re mere automata, programmed by our genome.

 

You do what you do because of who you are, and you are who you are because of your genes and your environment. That’s how a contemporary argument against the existence of free will usually goes. The first claim, about the way our genes determine our fate, has come out of an interpretation of Darwin’s theory of evolution often associated with Richard Dawkins. According to this picture humans are just vehicles for the propagation of genes, and it is them, not us, who are running the show. This seems to leave little room for human agency: for our judgements and actions to be genuinely shaped by reflection and deliberation. Free will is therefore a myth, and the remaining puzzle for geneticists like Jerry A. Coyne seems to be “why evolution bequeathed us such a powerful illusion.”

Denis Noble doesn’t buy it. In a talk he gave at HowTheLightGetsIn festival in London last month, the distinguished Oxford physiologist, musician, and philosopher of biology, argued that a closer look at what our bodies are made of and an understanding of how they work reveals that free will is no illusion. We all know that water is essential to living organisms – it’s what astrophysicists look for on other planets when speculating about the existence of extra-terrestrial life. According to Noble, water and the controlled stochasticity that it allows of molecules that are suspended in it, is also what makes us free. That’s the key difference between living organisms and computers made of silicon: they are determinate machines, we are creatures of stochasticity, of chance. This still leaves open the question of why stochastic processes entail freedom, as well as whether our social environment still determines us in ways that undermine our agency. But for Denis Noble a rejection of the idea of genetic determinacy is genuinely liberating, allowing us “the only form of free will worth having”.

“There is no program of life or a blueprint for life in a genome, we’ve been looking for one for over 20 years.”

There is a deep chasm that separates Noble’s approach to biology from that of Neo-Darwinians like Richard Dawkins who have described the genome as “the book of life”, “creating us body and mind”. For Noble, the genome is the wrong place to look if we want to understand life, and what has led some biologists astray in thinking that our genes determine our behaviour. “There is no program of life or a blueprint for life in a genome, we’ve been looking for one for over 20 years.”

 

Choice, for Noble, is key to understanding intelligent life “the ability to distinguish, and choose, between different behavioural options”.  And looking at our genome we find nothing that resembles a kind of conditional logic -- a set of “if X, then Y, else Z” type of instructions – a structure of switches that would allow organisms to make choices between different outcomes, argued Noble.

 

Where we can find such a structure of switches, and where various control processes take place are our membranes. Without these membrane processes there could be no such thing as a choice between different behavioural options, and choice is of course central not only to our idea of intelligence, but to our idea of free will.

 

“The possibility of systems that can make choices arose when the first cells emerged with their membranes during an evolutionary process. That is where intelligence became possible in living systems.”

 

To really understand how our membranes work and the various processes they enable, according to Noble, we need to understand where we find them: suspended in water inside our bodies. Nearly all of the molecules in our bodies can be dissolved in it, except fats. The fats in our bodies are like soap bubbles that go on to form vast structures of membranes in our cells that eventually become our organs. It’s the fact that these membranes are suspended in water that gives them the special properties that can be found only in living organisms, and not, for example, in a sophisticated computer. If you recall, the recent debate over whether Google’s AI was genuinely conscious focussed on the nature of its software. Again, that’s the wrong place to look, according to Noble.  What makes humans and other living organisms different from our most advanced machinery isn’t that we run on a more advanced code, but that we are built of different materials. In particular, the combination of hydrogen and oxygen to make water seems to have almost magical properties: retaining its liquid form in much higher temperatures than most elements and freezing in an unusual way, making ice lighter than liquid water (the opposite of what happens when other solvents freeze).

Whereas Neo-Darwinian biologists accept that living organisms are subject to stochasticity, they see this chance as blind, completely unregulated by the organisms themselves.

But the key property water has is related to something known as Brownian Motion. The physicist Robert Brown was the first to observe, under a microscope, dust particles suspended in water jiggling around in every possible direction. Albert Einstein in one of his four 1905 annus mirabilis papers described the random motion of these particles using a stochastic model. This is what makes living organisms so different from determinate computers, according to Noble. “The atoms in silicon are not freely engaging in a stochasticity like we observe in water-based environment.” Whereas the suspended particles in water travel great distances, much greater than their diameter, no such thing is observed in solids. What we’re made of matters.

Of course, chance and randomness are no strangers to Neo-Darwinians, in fact they are an important part of their theory of life, and Noble is aware of that. That’s not where their dispute lies. But whereas Neo-Darwinian biologists accept that living organisms are subject to stochasticity, they see this chance as blind, completely unregulated by the organisms themselves. According to that approach, a few random changes in our DNA over a long period of time accumulate and propel evolution. Noble doesn’t believe it’s possible for the chance involved to be blind. The details of why that is are rather technical and have to do with how we understand the process by which our DNA replicates. The Neo-Darwinian paradigm claims that DNA self-replicates like a crystal. Noble argues that this isn’t possible. Organisms must be capable of regulating the stochasticity involved in DNA’s replication. If they weren’t, the errors that would accumulate from a completely random self-replication process – like in the case of crystals – would be so large that the results would be catastrophic for the organism.

Noble doesn’t seem to think that consciousness is a prerequisite for the ability to make choices.

So where does all this leave the question of free will? Noble acknowledged that while the answer to the question requires empirical investigation by the sciences, it also requires a conceptual framework, to be provided by philosophy.

 

The first problem that Noble’s account seems to face is that randomness doesn’t equal freedom. Philosophers have long argued that even if the universe as a whole is shown not to be deterministic, that doesn’t by itself rescue free will. A non-deterministic universe in which things happen at random is equally a threat to free will. If the reason I chose to write this article rather than another is blind chance, that doesn’t render me any freer than if my decision was preordained the moment the universe was created.

 

Of course, Noble wants to deny that the chance involved here is blind. What he’s arguing is that there is a “harnessing of stochasticity” by the organism that “enables a form of creativity and behaviour” which in turn allows things like values and judgements to influence what our bodies do. This response, however, brings up another question: who’s doing the “harnessing” of chance, who is regulating what would otherwise have been random processes. It seems that Noble wants to attribute this kind of agency not just to the organism as a whole, but even at the level of individual cells. But that seems like a very strange place to ground free will in. How exactly are some of the myriads of unconscious processes taking place in my body - including digestion, blood circulation, breathing, etc - supposed to grant me free will? Does it even make sense to describe anything other than a fully-fledged agent as “making choices”, as acting with intention? Noble doesn’t seem to think that consciousness is a prerequisite for the ability to make choices. After all when playing a musical instrument, or driving, many of the movements we make come to us “automatically”, we don’t form conscious intentions on which we then act.

 

But even if we somehow granted that there are genuine decisions happening at a microlevel inside every organism, do myriad of small unconscious choices add up to the free conscious choices of the organism as a whole?

“I’m not particularly worried by the fact that my upbringing and social interactions greatly influenced my values and actions. Why would I want it to be otherwise?”

Ultimately, Noble wants to dispel what he sees as the myth of genetic determinism. The thought that “my genes made me do it” sits very uncomfortable with him. It doesn’t seem to allow for the influence of the social world on our decisions, what most of us take to have shaped who we are: our experiences. Noble want to make room for that and is very comfortable with acknowledging the impact of social forces upon who we turn out to be: “I’m not particularly worried by the fact that my upbringing and social interactions greatly influenced my values and actions. Why would I want it to be otherwise?” But that’s not the appropriate contrast with genetic determinism. The social equivalent of “my genes made me do it” would be “my upbringing made me do it”, and surely that kind of social determinism is just as uncomfortable.

        https://iai.tv/articles/free-will-is-not-an-illusion-auid-2274?_auid=2020 

Friday, October 21, 2022

October 2022 United Kingdom Government Crisis

From Wikipedia

In September and October 2022, the government of the United Kingdom, led by the Conservative party and the newly-appointed prime minister Liz Truss, faced a credibility crisis.

The crisis began following the 23 September 2022 United Kingdom mini-budget, which was received negatively by the world financial markets. It ultimately led to the dismissal of the Chancellor of the Exchequer, Kwasi Kwarteng, on 14 October, and his replacement by Jeremy Hunt. In the following days Truss came under increasing pressure to reverse further elements of the mini-budget to satisfy the markets, and by 17 October five Conservative Members of Parliament had called for her resignation.

On 19 October Suella Braverman, the Home Secretary, resigned over a technical breach of the Ministerial Code, following a disagreement with Truss over immigration reform. Braverman's resignation letter was highly critical of Truss. That evening MPs voted on a Labour Party motion to create time to debate a ban on fracking in the United Kingdom, which was opposed by the government. The vote caused confusion among Conservative MPs who were not clear whether it was being treated as a confidence vote, or whether the Chief Whip and Deputy Chief Whip had resigned. There were also allegations that some of their colleagues had been manhandled in the voting lobby.

On 20 October Truss announced that she would resign, but remain in office until the Conservative Party had chosen her successor. The leadership election is expected to conclude on 28 October. Truss was in office for 45 days before she announced her resignation, and her expected departure date will make her term the shortest overall of any prime minister in UK history.

Background

Following Boris Johnson's announcement of his intention to resign as Conservative Party leader and Prime Minister of the United Kingdom on 7 July, Liz Truss won the subsequent Conservative party leadership election and became Prime Minister on 6 September.  On 23 September, the Chancellor of the Exchequer Kwasi Kwarteng delivered a financial statement widely referred to as the mini-budget, which prompted significant negative market reaction – including the pound falling to a record low against the US dollar and a sharp increase in the cost of government borrowing.  This resulted in Truss dismissing Kwarteng as Chancellor on 14 October and appointing Jeremy Hunt as his replacement, who reversed most of the measures in the mini-budget.

According to The Daily Telegraph, there were at least five Conservative Members of Parliament (MPs) calling for the resignation of Liz Truss by 17 October. They were Crispin Blunt, Andrew Bridgen, Angela Richardson, Charles Walker and Jamie Wallis.  In an interview with the BBC's Chris Mason that evening, Truss said she was "sorry for the mistakes that have been made" but remained "committed to the vision". She also said she would lead the Conservatives into the next general election.  On 18 October, Lord Frost had also called for the Prime Minister to resign.

On 17 and 20 October, Truss held meetings with Graham Brady, the chair of the 1922 Committee.  The meeting on 17 October was stated to have caused Truss to miss an urgent Prime Minister's Questions on the afternoon that same day requested by opposition leader Keir Starmer and granted by the Speaker of the House of Commons, Lindsay Hoyle, with Leader of the House of Commons, Penny Mordaunt, answering on Truss's behalf.  Truss's absence drew criticism from a number of MPs, including Starmer, although Truss later made a brief appearance in the House.

Resignations and Dismissals

Kwasi Kwarteng was dismissed as Chancellor of the Exchequer on 14 October after 38 days in post, and was succeeded by Jeremy Hunt.  Chris Philp was also replaced by Edward Argar as Chief Secretary to the Treasury.

On 19 October, Suella Braverman resigned as Home Secretary, subsequently being replaced by Grant Shapps.

On 20 October, Truss announced her intention to resign as Prime Minister.

Parliament

On 19 October 2022, the Labour Party tabled a motion to introduce a bill to ban fracking in the United Kingdom.  As the motion would have allowed the Opposition to control the Order Paper, Conservative MPs were instructed by their party's whips office to vote against the motion on a three-line whip, and that it would be treated as a confidence motion.

Throughout the course of the day, 10 Downing Street became increasingly concerned about the potential size of the rebellion among Conservative MPs, and informed Climate Minister that the vote would no longer be treated as a matter of confidence, which he subsequently relayed to the House of Commons.  The whips office were not consulted on the change in positioning, resulting in confusion and disarray among Conservative MPs.

During the vote, Chief Whip Wendy Morton and Deputy Chief Whip Craig Whittaker submitted their resignations to Prime Minister Liz Truss, which were ultimately withdrawn following hours-length negotiations and a late statement confirming the Government would treat the vote as a matter of confidence.

An MP described the vote as "chaos" with claims, denied by cabinet ministers, that Conservative whips had manhandled and bullied backbenchers into voting negatively.  Labour MP Chris Bryant made claims on Sky News saying that he saw MPs "physically manhandled through the voting lobby" naming Deputy Prime Minister of the United Kingdom, Thérèse Coffey, along with Jacob Rees-Mogg, as those he saw in the "group". Later that evening, the House's speaker, Lindsay Hoyle, announced that he had asked the Serjeant at Arms and other parliamentary officials to investigate the allegations made about the incident.

The motion was ultimately opposed, with a government majority of 96 votes.

Reaction

Opinion Polls

A YouGov survey of Conservative Party members published on 18 October reported that a majority of them wanted Truss to resign, with their favoured front runners for her replacement being Boris Johnson as most popular, followed in order by Ben Wallace, Rishi Sunak, Penny Mordaunt, Kemi Badenoch, Jeremy Hunt and Suella Braverman.

Bookmakers

As of mid-October, bookmakers were taking odds for the date of Truss's resignation. Bookmakers placed Sunak first in their list of likely Conservative prime ministerial successors, followed in order by Hunt, Mordaunt, Wallace and Johnson.

Lettuce Analogies

On 11 October, The Economist published an article criticising Truss, in which they commented that she had seven days in control of the economy. They wrote: "That is roughly the shelf-life of a lettuce."  On 14 October, tabloid newspaper the Daily Star began a live stream on YouTube of a lettuce dressed as Truss to see if it would wilt before the Prime Minister resigned, which it did not.  On 19 October, after Braverman's resignation, the lettuce was filmed with a plate of tofu to mock Braverman, who the previous day had attacked climate-protest groups including Insulate Britain and Just Stop Oil by describing them as "tofu-eating wokerati".  In an interview with Sky News, Labour MP Chris Bryant attacked the government by saying: "We don't have a government. You might as well have, I mean, the lettuce might as well be running the country, or the tofu."

        https://en.wikipedia.org/wiki/October_2022_United_Kingdom_government_crisis

 


Thursday, October 20, 2022

Innovative System Evaluates Habitability of Distant Planets

Computerized system classifies atmospheres of planets and identifies those suitable for future human settlements

From:  The Hebrew University of Jerusalem

October 20, 2020 -- The research framework developed, along with observational data from the Webb Space Telescope, will enable scientists to efficiently assess the atmospheres of many other planets without having to send a space crew to visit them physically. This will help us make informed decisions in the future about which planets are good candidates for human settlement and perhaps even to find life on those planets.

The climate crisis presents a huge challenge to all people on Earth. It has led many scientists to look for exoplanets, planets outside our solar system that humans could potentially settle.

The James Webb Space Telescope was developed as part of this search to provide detailed observational data about Earth-like exoplanets in the coming years. A new project, led by Dr. Assaf Hochman at the Fredy & Nadine Herrmann Institute of Earth Sciences at the Hebrew University of Jerusalem (HU), in collaboration with Dr. Paolo De Luca at the Barcelona Supercomputing Center and Dr. Thaddeus D. Komacek at the University of Maryland, has successfully developed a framework to study the atmospheres of distant planets and locate those planets fit for human habitation, without having to visit them physically. Their joint research study was published in the Astrophysical Journal.

Classifying climate conditions and measuring climate sensitivity are central elements when assessing the viability of exoplanets as potential candidates for human habitation. In the current study, the research team examined TRAPPIST-1e, a planet located some 40 light years from the Earth and scheduled to be documented by the James Webb Space Telescope in the coming year. The researchers looked at the sensitivity of the planet's climate to increases in greenhouse gases and compared it with conditions on Earth. Using a computerized simulation of the climate on TRAPPIST-1e, they could assess the impact of changes in greenhouse gas concentration.

The study focused on the effect of an increase in carbon dioxide on extreme weather conditions, and on the rate of changes in weather on the planet. "These two variables are crucial for the existence of life on other planets, and they are now being studied in depth for the first time in history," explained Hochman.

According to the research team, studying the climate variability of earth-like exoplanets provides a better understanding of the climate changes we are currently experiencing on Earth. Additionally, this kind of research offers a new understanding of how planet Earth's atmosphere might change in the future.

Hochman and his research partners found that planet TRAPPIST-1e has a significantly more sensitive atmosphere than planet Earth. They estimate that an increase in greenhouse gases there could lead to more extreme climate changes than we would experience here on Earth because one side of TRAPPIST-1e constantly faces its own sun, in the same way, that our moon always has one side facing the Earth.

As Hochman concluded, "the research framework we developed, along with observational data from the Webb Space Telescope, will enable scientists to efficiently assess the atmospheres of many other planets without having to send a space crew to visit them physically. This will help us make informed decisions in the future about which planets are good candidates for human settlement and perhaps even to find life on those planets."

        https://www.sciencedaily.com/releases/2022/10/221020130251.htm

 

Wednesday, October 19, 2022

Treatment for Back Pain: 84 Percent Increase in Success Rate

From:  Goethe University

October 18, 2022 -- If a therapy for chronic back pain is tailored specifically to a patient’s individual requirements, the chances of success are far greater than with standard forms of treatment. Accompanied by a psychotherapeutic procedure in the shape of cognitive behavioural therapy, the pain can be alleviated even more effectively. This is the result of a meta-analysis by Goethe University Frankfurt, in which the data of over 10,000 patients were combined and analysed. It can be concluded from the study that multimodal therapies should be promoted on a larger scale in the German healthcare system, in line with the National Disease Management Guidelines.

Lack of exercise, bad posture, overexertion, constant stress at work or at home – back pain is a widespread condition with many causes. For a not insignificant number of sufferers, the symptoms are even chronic, meaning they persist for a long time or recur again and again. Sport and exercise therapies under instruction can bring relief. Common treatment methods include physiotherapy as well as strength and stability exercises. But how can the therapy be as successful as possible? Which approach alleviates pain most effectively? A meta-analysis by Goethe University Frankfurt, published recently in the Journal of Pain, has delivered new insights.

The starting point was data from 58 randomised controlled trials (RCTs) of over 10,000 patients worldwide with chronic low back pain. First, the data relevant to the topic were filtered out of the original manuscripts and then evaluated in groups. When evaluating these data, the researchers examined on the one hand whether and to what extent standard forms of treatment and individualised treatment differ in terms of the result. “Individualised” means that there is some type of personal coaching, where therapists specifically target the potentials and requirements of each patient and decide together with them how their therapy should look.

The study concluded that individualised treatment for chronic back pain led to a significantly increased effect in comparison to standard exercise therapies. The success rate in pain relief was 38 percent higher than with standard treatment. “The higher effort required for individual treatment is worthwhile because patients benefit to an extent that is clinically important,” says lead author Dr Johannes Fleckenstein from the Institute of Sport Sciences at Goethe University Frankfurt.

However, the study went even further. The research team in Frankfurt compared a third group of treatment methods alongside the standard and individualised ones. In this group, individualised training sessions were combined with cognitive behavioural therapy (CBT). This procedure – a type of talk therapy – is based on the assumption that negative thoughts and behaviours surrounding pain tend to exacerbate it. Through CBT, pain patients learn to change the way they handle it. They stop being afraid to move or are taught tactics for coping with pain. This makes them realise that they are by no means helpless. But what does the psychotherapeutic support through CBT actually contribute to the success of the treatment? Analysis of the data revealed the following: When an individualised approach and CBT were combined, the success rate in terms of pain relief was an impressive 84 percent higher than with standard treatment. The combined therapy, also called multimodal therapy, thus led to the best result by far.

Fleckenstein sees in the study “an urgent appeal to public health policy” to promote combined therapies both in terms of patient care and remuneration. “Compared to other countries, such as the USA, we are in a relatively good position in Germany. For example, we issue less prescriptions for strong narcotic drugs such as opiates. But the number of unnecessary X-rays, which, by the way, can also contribute to pain chronicity, and inaccurate surgical indications is still very high.” This is also due, according to Fleckenstein, to economic incentives, that is, the relatively high remuneration for such interventions. The situation is different for organisations working in the area of pain therapy, he says. Although these are not unprofitable, they are not a cash cow for investors either. In his view, it is important here to improve the economic conditions. After all, pain therapy saves a lot of money in the long run as far as health economics are concerned, whereas tablets and operations rarely lead to medium and long-term pain relief.

https://aktuelles.uni-frankfurt.de/englisch/treatment-for-back-pain-84-percent-increase-in-success-rate/

Tuesday, October 18, 2022

Heaviest Element Yet Detected in an Exoplanet Atmosphere

From:  ESO 2213

13 October 2022 -- Using the European Southern Observatory’s Very Large Telescope (ESO’s VLT), astronomers have discovered the heaviest element ever found in an exoplanet atmosphere — barium. They were surprised to discover barium at high altitudes in the atmospheres of the ultra-hot gas giants WASP-76 b and WASP-121 b — two exoplanets, planets which orbit stars outside our Solar System. This unexpected discovery raises questions about what these exotic atmospheres may be like.

The puzzling and counterintuitive part is: why is there such a heavy element in the upper layers of the atmosphere of these planets?” says Tomás Azevedo Silva, a PhD student at the University of Porto and the Instituto de Astrofísica e Ciências do Espaço (IA) in Portugal who led the study published today in Astronomy & Astrophysics.

WASP-76 b and WASP-121 b are no ordinary exoplanets. Both are known as ultra-hot Jupiters as they are comparable in size to Jupiter whilst having extremely high surface temperatures soaring above 1000°C. This is due to their close proximity to their host stars, which also means an orbit around each star takes only one to two days. This gives these planets rather exotic features; in WASP-76 b, for example, astronomers suspect it rains iron.

But even so, the scientists were surprised to find barium, which is 2.5 times heavier than iron, in the upper atmospheres of WASP-76 b and WASP-121 b. “Given the high gravity of the planets, we would expect heavy elements like barium to quickly fall into the lower layers of the atmosphere,” explains co-author Olivier Demangeon, a researcher also from the University of Porto and IA.

This was in a way an ‘accidental’ discovery,” says Azevedo Silva. “We were not expecting or looking for barium in particular and had to cross-check that this was actually coming from the planet since it had never been seen in any exoplanet before.

The fact that barium was detected in the atmospheres of both of these ultra-hot Jupiters suggests that this category of planets might be even stranger than previously thought. Although we do occasionally see barium in our own skies, as the brilliant green colour in fireworks, the question for scientists is what natural process could cause this heavy element to be at such high altitudes in these exoplanets. ​​“At the moment, we are not sure what the mechanisms are,” explains Demangeon.

In the study of exoplanet atmospheres ultra-hot Jupiters are extremely useful. As Demangeon explains: “Being gaseous and hot, their atmospheres are very extended and are thus easier to observe and study than those of smaller or cooler planets”.

Determining the composition of an exoplanet’s atmosphere requires very specialised equipment. The team used the ESPRESSO instrument on ESO’s VLT in Chile to analyse starlight that had been filtered through the atmospheres of WASP-76 b and WASP-121 b. This made it possible to clearly detect several elements in them, including barium.

These new results show that we have only scratched the surface of the mysteries of exoplanets. With future instruments such as the high-resolution ArmazoNes high Dispersion Echelle Spectrograph (ANDES), which will operate on ESO’s upcoming Extremely Large Telescope (ELT), astronomers will be able to study the atmospheres of exoplanets large and small, including those of rocky planets similar to Earth, in much greater depth and to gather more clues as to the nature of these strange worlds.

This research was presented in the paper “Detection of Barium in the atmospheres of ultra-hot gas giants WASP-76b & WASP-121b” to appear in Astronomy & Astrophysics (doi: 10.1051/0004-6361/202244489).

        https://www.eso.org/public/news/eso2213/