Monday, June 05, 2023

Visualizing the Uranium Mining Industry in 3 Charts

 May 26, 2023
VISUAL CAPITALIST
By Truman Du Featured Creator
Article/Editing:
Pallavi Rao

When uranium was discovered in 1789 by Martin Heinrich Klaproth, it’s likely the German chemist didn’t know how important the element would become to human life.

Used minimally in glazing and ceramics, uranium was originally mined as a byproduct of producing radium until the late 1930s. However, the discovery of nuclear fission, and the potential promise of nuclear power, changed everything.

What’s the current state of the uranium mining industry? This series of charts from Truman Du highlights production and the use of uranium using 2021 data from the World Nuclear Association (WNA) and Our World in Data.

Who are the Biggest Uranium Miners in the World?

Most of the world’s biggest uranium suppliers are based in countries with the largest uranium deposits, like Australia, Kazakhstan, and Canada.

The largest of these companies is Kazatomprom, a Kazakhstani state-owned company that produced 25% of the world’s new uranium supply in 2021.



As seen in the above chart, 94% of the roughly 48,000 tonnes of uranium mined globally in 2021 came from just 13 companies.

Search:
Rank   Company  2021  Uranium Production (tonnes)   Percent of Total 

1
 
Kazatomprom 11,858 25%
2  
Orano 4,541 9%
3  
Uranium One 4,514 9%
4  
Cameco 4,397 9%
5  
CGN 4,112 9%
6  
Central Mynkuduk 
Navoi Mining 3,500 7%

7  
CNNC 3,562 7%Total48,332100%


Showing 1 to 7 of 14 entries

France’s Orano, another state-owned company, was the world’s second largest producer of uranium at 4,541 tonnes.

Companies rounding out the top five all had similar uranium production numbers to Orano, each contributing around 9% of the global total. Those include Uranium One from Russia, Cameco from Canada, and CGN in China

Where are the Largest Uranium Mines Found?

The majority of uranium deposits around the world are found in 16 countries with Australia, Kazakhstan, and Canada accounting for for nearly 40% of recoverable uranium reserves.

But having large reserves doesn’t necessarily translate to uranium production numbers. For example, though Australia has the biggest single deposit of uranium (Olympic Dam) and the largest reserves overall, the country ranks fourth in uranium supplied, coming in at 9%.

Here are the top 10 uranium mines in the world, accounting for 53% of the world’s supply.



Of the largest mines in the world, four are found in Kazakhstan. Altogether, uranium mined in Kazakhstan accounted for 45% of the world’s uranium supply in 2021.

Uranium Mine    Country   Main Owner  2021 Production

Cigar Lake
   

Canada Cameco/Orano 4,693t
Inkai 1-3  
Kazakhstan Kazaktomprom/Cameco 3,449t
Husab  
Kazakhstan Uranium One/Kazatomprom 2,561t
Rössing  
Namibia CNNC 2,444t
Four Mile
Australia Quasar 2,241t
SOMAIR  
Niger Orano 1,996t
Olympic Dam  
Australia BHP Billiton 1,922t


Kazakhstan Ortalyk 1,579t
Kharasan 1
   
Kazakhstan Kazatomprom/Uranium One 1,579t


Namibia, which has two of the five largest uranium mines in operation, is the second largest supplier of uranium by country, at 12%, followed by Canada at 10%.

Interestingly, the owners of these mines are not necessarily local. For example, France’s Orano operates mines in Canada and Niger. Russia’s Uranium One operates mines in Kazakhstan, the U.S., and Tanzania. China’s CGN owns mines in Namibia.

And despite the African continent holding a sizable amount of uranium reserves, no African company placed in the top 10 biggest companies by production. Sopamin from Niger was the highest ranked at #12 with 809 tonnes mined.

Uranium Mining and Nuclear Energy

Uranium mining has changed drastically since the first few nuclear power plants came online in the 1950s.

For 30 years, uranium production grew steadily due to both increasing demand for nuclear energy and expanding nuclear arsenals, eventually peaking at 69,692 tonnes mined in 1980 at the height of the Cold War.

Nuclear energy production (measured in terawatt-hours) also rose consistently until the 21st century, peaking in 2001 when it contributed nearly 7% to the world’s energy supply. But in the years following, it started to drop and flatline.



By 2021, nuclear energy had fallen to 4.3% of global energy production. Several nuclear accidents—Chernobyl, Three Mile Island, and Fukushima—contributed to turning sentiment against nuclear energy.

Year Nuclear Energy
Production% of Total Energy
1965 72 TWh 0.2%
1966 98 TWh 0.2%
1967 116 TWh 0.2%
1968 148 TWh 0.3%
1969 175 TWh 0.3%
1970 224 TWh 0.4%
1971 311 TWh 0.5%
1972 432 TWh 0.7%
1973 579 TWh 0.9%
1974 756 TWh 1.1%

Showing 1 to 10 of 57 entries

More recently, a return to nuclear energy has gained some support as countries push for transitions to cleaner energy, since nuclear power generates no direct carbon emissions.
What’s Next for Nuclear Energy?

Nuclear remains one of the least harmful sources of energy, and some countries are pursuing advancements in nuclear tech to fight climate change.

Small, modular nuclear reactors are one of the current proposed solutions to both bring down costs and reduce construction time of nuclear power plants. The benefits include smaller capital investments and location flexibility by trading off energy generation capacity.

With countries having to deal with aging nuclear reactors and climate change at the same time, replacements need to be considered. Will they come in the form of new nuclear power and uranium mining, or alternative sources of energy?


This article was published as a part of Visual Capitalist's Creator Program, which features data-driven visuals from some of our favorite Creators around the world.
Depression and Urban Deprivation: Unseen Accelerators of Biological Aging

Featured Neuroscience Psychology ·June 4, 2023

Summary: 
A new study reveals a possible link between depressive symptoms, living in deprived urban neighborhoods, and accelerated aging. The research utilized DNA methylation-based epigenetic clocks to estimate biological age and found premature aging in individuals facing these circumstances.

The study also found a connection between higher neighborhood deprivation and an increased risk of death. The influence of depression on premature aging seemed unrelated to neighborhood deprivation, suggesting different underlying mechanisms.


Key Facts:The study used DNA methylation-based epigenetic clocks, which helped estimate the difference between chronological age and biological age.
Depressive symptoms and living in a deprived urban neighborhood were found to be independently associated with accelerated biological aging.
The study found that for every point increase in the depressive symptom score, the risk of death accelerates by one month.
Source: McMaster University

Feeling depressed and living in a deprived urban neighborhood could be making you age faster, according to a new study led by researchers at McMaster University.

The findings, published June 5 in The Journals of Gerontology, Series A: Biological Sciences and Medical Sciences, showed that living in urban environments marked by material and social inequities, and having depression symptoms, were independently associated with premature biological aging, even after accounting for individual-level health and behavioral risk factors, such as chronic conditions and poor health behaviors.

Parminder Raina, a professor in the Department of Health Research Methods, Evidence, and Impact at McMaster University, led the research team, which included investigators from the Netherlands, Norway and Switzerland.
The researchers found an increase in the risk of death by almost one year for those exposed to greater neighbourhood deprivation compared to lower neighbourhood deprivation. Credit: Neuroscience News

“Our study used two DNA methylation-based estimators, known as epigenetic clocks, to examine aging at the cellular level and estimate the difference between chronological age and biological age,” said Divya Joshi, the study’s first author and a research associate in the Department of Health Research Methods, Evidence, and Impact at McMaster.


“Our findings showed that neighbourhood deprivation and depressive symptoms were positively associated with acceleration of the epigenetic age estimated using the DNAm GrimAge clock.

“This adds to the growing body of evidence that living in urban areas with higher levels of neighbourhood deprivation and having depression symptoms are both associated with premature biological aging.”

Depressive symptoms in the study were measured using a 10-item standardized depression scale. The researchers found an acceleration in the risk of death by one month for every point increase on the depressive symptom score.

They theorized that emotional distress caused by depression may result in more biological wear and tear and dysregulation of physiological systems, which in turn could lead to premature aging.


The researchers assessed neighbourhood material and social deprivation using two indices that were developed by the Canadian Urban Environmental Health Research Consortium (CANUE) based on 2011 census.

Social deprivation reflects the presence of fewer social resources in the family and community, and material deprivation is an indicator of people’s inability to access goods and conveniences of modern life, such as adequate housing, nutritious food, a car, high-speed internet, or a neighbourhood with recreational facilities.

The researchers found an increase in the risk of death by almost one year for those exposed to greater neighbourhood deprivation compared to lower neighbourhood deprivation.

The study did not find that neighbourhood deprivation amplified the effect of depressive symptoms on epigenetic age acceleration.

“Our results showed that the effect of neighbourhood deprivation on epigenetic age acceleration was similar regardless of depression symptoms, suggesting that depression influences epigenetic age acceleration through mechanisms unrelated to neighbourhood deprivation,” Joshi said.

The research examined epigenetic data from 1,445 participants enrolled in the Canadian Longitudinal Study on Aging (CLSA), a research platform following more than 50,000 participants who were between the ages of 45 to 85 when recruited.

“Longitudinal studies, like the CLSA, are important to confirm associations like those found in this study,” said Raina, the study’s senior author and lead principal investigator of the CLSA.

“By following the same group of participants for 20 years, we will be able to determine whether epigenetic changes are stable or reversible over time. We will also gain insight into the mechanisms that are leading to accelerated epigenetic aging.”

Funding: Support for the CLSA is provided by the Government of Canada through the Canadian Institutes of Health Research and the Canada Foundation for Innovation. Additional support for this study was provided by the European Union Horizon 2020 Programme.

About this depression and aging research news

Author: Veronica McGuire
Source: McMaster University
Contact: Veronica McGuire – McMaster University
Image: The image is credited to Neuroscience News

Original Research: The findings will appear in The Journals of Gerontology Series A

YouTube Habits Linked to Increased Loneliness and Anxiety


The study also determined more needed to be done to prevent suicide-related content being recommended to users based on algorithms for suggested viewing. 























Credit: Neuroscience News

Featured Neuroscience Psychology· May 11, 2023

Summary: 
Researchers have found a link between frequent YouTube usage and increased levels of loneliness, anxiety, and depression, especially among viewers under 29.

The study raises concerns about ‘parasocial relationships’ between creators and viewers, as well as the algorithmic recommendation of suicide-related content. The team suggests AI-based solutions to guide users towards positive mental health content.

Key Facts: 
Regular YouTube users, particularly those under 29, experience higher levels of loneliness, anxiety, and depression according to a study from the Australian Institute for Suicide Research and Prevention.
The development of parasocial relationships, or one-sided emotional bonds between YouTube content creators and viewers, could potentially exacerbate mental health issues.
The study highlights concerns about YouTube’s algorithm recommending suicide-related content and proposes an AI-based solution to direct users towards verified positive mental health content. 
Source: Griffith University

Frequent users of YouTube have higher levels of loneliness, anxiety, and depression according to researchers from the Australian Institute for Suicide Research and Prevention (AISRAP).

Dr Luke Balcombe and Emeritus Professor Diego De Leo from Griffith University’s School of Applied Psychology and AISRAP sought to understand both the positive and negative impacts of the world’s most used streaming platform on mental health.

They found the most negatively affected individuals were those under 29 years of age, or who regularly watched content about other people’s lives.

Lead author Dr Luke Balcombe said the development of parasocial relationships between content creators and followers could be cause for concern, however some neutral or positive instances of creators developing closer relationships with their followers also occurred.


“These online ‘relationships’ can fill a gap for people who, for example, have social anxiety, however it can exacerbate their issues when they don’t engage in face-to-face interactions, which are especially important in developmental years,” he said.

“We recommend individuals limit their time on YouTube and seek out other forms of social interaction to combat loneliness and promote positive mental health.”

Dr Balcombe said the amount of time spent on YouTube was often a concern for parents, who struggled to monitor their children’s use of the platform for educational or other purposes.

For the purpose of the study, over two hours per day of YouTube consumption was classed as high frequency use and over five hours a day as saturated use.

The study also determined more needed to be done to prevent suicide-related content being recommended to users based on algorithms for suggested viewing.

While ideally, people shouldn’t be able to search for these topics and be exposed to methods, the YouTube algorithm does push recommendations or suggestions based on previous searches, which can send users further down a disturbing ‘rabbit hole’.

Users can report this type of content, but sometimes it may not be reported, or it could be there for a few days or weeks and with the sheer volume of content passing through, it’s almost impossible for YouTube’s algorithms to stop all of it.

If a piece of content is flagged as possibly containing suicide or self-harm topics, YouTube then provides a warning and asks the user if they want to play the video.

“With vulnerable children and adolescents who engage in high frequency use, there could be value in monitoring and intervention through artificial intelligence,” Dr Balcombe said.

“We’ve explored human–computer interaction issues and proposed a concept for an independent-of-YouTube algorithmic recommendation system which will steer users toward verified positive mental health content or promotions.

“YouTube is increasingly used for mental health purposes, mainly for information seeking or sharing and many digital mental health approaches are being tried with varying levels of merit, but with over 10,000 mental health apps currently available, it can be really overwhelming knowing which ones to use, or even which ones to recommend from a practitioner point of view.


“There is a gap for verified mental health or suicide tools based on a mix of AI-based machine learning, risk modeling and suitably qualified human decisions, but by getting mental health and suicide experts together to verify information from AI, digital mental health interventions could be a very promising solution to support increasing unmet mental health needs.”

 
About this psychology research news


Author: Christine Bowley
Source: Griffith University
Contact: Christine Bowley – Griffith University

Original Research: Open access.
The Impact of YouTube on Loneliness and Mental Health” by Luke Balcombe et al. Informatics

Abstract

The Impact of YouTube on Loneliness and Mental Health

There are positives and negatives of using YouTube in terms of loneliness and mental health. YouTube’s streaming content is an amazing resource, however, there may be bias or errors in its recommendation algorithms.

Parasocial relationships can also complicate the impact of YouTube use. Intervention may be necessary when problematic and risky content is associated with unhealthy behaviors and negative impacts on mental health. Children and adolescents are particularly vulnerable.


Although YouTube might assist in connecting with peers, there are privacy, safety, and quality issues to consider.

This paper is an integrative review of the positive and negative impacts of YouTube with the aim to inform the design and development of a technology-based intervention to improve mental health. The impact of YouTube use on loneliness and mental health was explored by synthesizing a purposive selection (n = 32) of the empirical and theoretical literature.

Next, we explored human–computer interaction issues and proposed a concept whereby an independent-of-YouTube algorithmic recommendation system steers users toward verified positive mental health content or promotions.
Our breath influences our neural activity, which in turn, impacts our cognitive functions including attention, memory recall, and emotional processing. 











Credit: Neuroscience News

Featured Neuroscience· May 28, 2023

Summary: Intricate links between breathing and memory recall have been unraveled by recent scientific research, painting a more complex picture of our cognitive processes.


Studies reveal that the rhythm of our breathing can influence neural activity, impacting cognitive functions such as emotional processing and memory recall.

The most compelling evidence highlights that inhalation, particularly through the nose, can improve memory function. As this field of study emerges, these insights could lead to novel therapeutic approaches for cognitive decline and memory-related conditions.

Key Facts:
The rhythm of our breathing creates electrical activity in the brain, enhancing emotional judgment and memory recall, with this effect being most pronounced during inhalation through the nose.

The amygdala and hippocampus, brain areas linked to emotion and memory, are significantly affected by the rhythm of breathing, suggesting that the act of breathing can modulate the functions of these regions.

Deep, controlled breathing, often used in mindfulness practices, can improve working memory capacity, the kind of memory we use to hold and manipulate information over short periods.
Source: Neuroscience News


Breathing: it’s an automatic process we often don’t give a second thought. Yet recent scientific discoveries have begun to shed light on a fascinating relationship between breathing and memory function.

Our breath influences our neural activity, which in turn, impacts our cognitive functions including attention, memory recall, and emotional processing.

The rhythm of our breathing creates electrical activity in the brain that contributes to the enhancement of emotional judgments and memory recall.


In fact, a study led by Christina Zelano at Northwestern University demonstrated that the act of breathing, specifically through the nose, can have a direct impact on cognitive functions such as memory recall.
Credit: Neuroscience News

Zelano’s research team carried out a series of experiments involving human subjects and found that memory recall was significantly better during inhalation compared to exhalation. This effect was most pronounced when the subjects were breathing through their noses.

The study showed that the rhythm of breathing can induce changes in the brain, enhancing the emotional judgment and improving memory recall.

Furthermore, the amygdala and the hippocampus, two brain regions linked to emotion, memory function, and smell, are significantly affected by the breathing rhythm.

These areas of the brain are part of the limbic system, which controls emotions and memory. It’s thought that the act of breathing may modulate the functions of these brain regions, thereby influencing memory and emotional processing.

Moreover, the act of controlled, deep breathing, often utilized in mindfulness and meditation practices, has been shown to enhance memory recall.

A study published in the Journal of Sport and Exercise Psychology showed that mindfulness-based attention, which involves focusing on one’s breathing, increases the ability to maintain visuospatial information over short periods.

This suggests that deep, controlled breathing can improve working memory capacity, the kind of memory we use to hold and manipulate information in our minds over short periods.

While the relationship between breathing and memory remains an emerging field, these findings suggest exciting possibilities for future research and potential therapeutic applications.

Understanding the impact of breathing on memory could have implications for interventions related to cognitive decline, stress, anxiety, and conditions such as ADHD and Alzheimer’s disease.

In conclusion, it seems that the simple act of breathing, often taken for granted, can play a significant role in our cognitive functions, specifically memory recall.

So next time you’re struggling to remember something, take a moment, take a deep breath, and see if it helps. It appears our breath holds more power over our brains than we might think.
About this neuroscience and memory research news

Author: Neuroscience News Communications
Source: Neuroscience News
Contact: Neuroscience News Communications – Neuroscience News
Image: The image is credited to Neuroscience News

Citations:

Nasal Respiration Entrains Human Limbic Oscillations and Modulates Cognitive Function” by Christina Zelano et al. Journal of Neuroscience

Mindfulness, Movement Control, and Attentional Focus Strategies: Effects of Mindfulness on a Postural Balance Task” by Kee et al. Journal of Sport and Exercise Psychology

Respiration modulates olfactory memory consolidation in humans” by Artin Arshamian, Behzad Iravani, Asifa Majid and Johan N. Lundström in Journal of Neuroscience.

Reduced Oxygen Intake Linked to Extended Lifespan


Neuroscience Articles· May 23, 2023

Summary: Researchers revealed a correlation between reduced oxygen intake, or ‘oxygen restriction,’ and extended lifespan in lab mice.


The study found that mice in an oxygen-restricted environment lived about 50% longer than those in normal oxygen levels. The oxygen-restricted mice also experienced delayed onset of aging-associated neurological deficits.

The study, however, did not establish the exact mechanism through which oxygen restriction prolongs lifespan.

Key Facts:
This is the first study to demonstrate that ‘oxygen restriction’ extends lifespan in a mammalian aging model.
Mice in an oxygen-restricted environment lived about 50% longer and had delayed onset of aging-associated neurological deficits.
The researchers found that oxygen restriction did not affect food intake, suggesting that other mechanisms extend the lifespan of the mice.
Source: PLOS

For the first time, researchers have shown that reduced oxygen intake, or “oxygen restriction,” is associated with longer lifespan in lab mice, highlighting its anti-aging potential. Robert Rogers of Massachusetts General Hospital in Boston, US, and colleagues present these findings in a study published May 23rd in the open-access journal PLOS Biology.

Research efforts to extend healthy lifespan have identified a number of chemical compounds and other interventions that show promising effects in mammalian lab animals— for instance, the drug metformin or dietary restriction.

Oxygen restriction has also been linked to longer lifespan in yeast, nematodes, and fruit flies. However, its effects in mammals have been unknown.

To explore the anti-aging potential of oxygen restriction in mammals, Rogers and colleagues conducted lab experiments with mice bred to age more quickly than other mice while showing classic signs of mammalian aging throughout their bodies.
The oxygen-restricted mice also had delayed onset of aging-associated neurological deficits. Credit: Neuroscience News

The researchers compared the lifespans of mice living at normal atmospheric oxygen levels (about 21%) to the lifespans of mice that, at 4 weeks of age, had been moved to a living environment with a lower proportion of oxygen (11%—similar to that experienced at an altitude of 5000 meters).


They found that the mice in the oxygen-restricted environment lived about 50% longer than the mice in normal oxygen levels, with a median lifespan of 23.6 weeks compared to 15.7 weeks. The oxygen-restricted mice also had delayed onset of aging-associated neurological deficits.

Prior research has shown that dietary restriction extends the lifespan of the same kind of fast-aging mice used in this new study. Therefore, the researchers wondered if oxygen restriction extended their lifespan simply by causing the mice to eat more. However, they found that oxygen restriction did not affect food intake, suggesting other mechanisms were at play.

These findings support the anti-aging potential of oxygen restriction in mammals, perhaps including humans. However, extensive additional research will be needed to clarify its potential benefits and illuminate the molecular mechanisms by which it operates.


Rogers adds, “We find that chronic continuous hypoxia (11% oxygen, equivalent to what would be experienced at Everest Base Camp) extends lifespan by 50% and delays the onset of neurologic debility in a mouse aging model.

“While caloric restriction is the most widely effective and well-studied intervention to increase lifespan and healthspan, this is the first time that ‘oxygen restriction’ has been demonstrated as beneficial in a mammalian aging model.”

About this longevity research news


Author: Robert Rogers
Source: PLOS
Contact: Robert Rogers – PLOS
Image: The image is credited to Neuroscience News

Original Research: Open access.
Hypoxia extends lifespan and neurological function in a mouse model of aging” by Robert Rogers et al. PLOS Biology

Abstract

Hypoxia extends lifespan and neurological function in a mouse model of aging

There is widespread interest in identifying interventions that extend healthy lifespan. Chronic continuous hypoxia delays the onset of replicative senescence in cultured cells and extends lifespan in yeast, nematodes, and fruit flies.

Here, we asked whether chronic continuous hypoxia is beneficial in mammalian aging.

We utilized the Ercc1 Δ/- mouse model of accelerated aging given that these mice are born developmentally normal but exhibit anatomic, physiological, and biochemical features of aging across multiple organs.


Importantly, they exhibit a shortened lifespan that is extended by dietary restriction, the most potent aging intervention across many organisms.

We report that chronic continuous 11% oxygen commenced at 4 weeks of age extends lifespan by 50% and delays the onset of neurological debility in Ercc1 Δ/- mice.

Chronic continuous hypoxia did not impact food intake and did not significantly affect markers of DNA damage or senescence, suggesting that hypoxia did not simply alleviate the proximal effects of the Ercc1 mutation, but rather acted downstream via unknown mechanisms.

To the best of our knowledge, this is the first study to demonstrate that “oxygen restriction” can extend lifespan in a mammalian model of aging.

Eight Lectures on Yoga
by Mahatma Guru Sri Paramahansa Shivaji (Aleister Crowley)

Aleister Crowley has achieved the reputation of being a master of the English language. This book which is as fresh and vibrant today as when it was penned over thirty years ago demonstrates this fact. It shows how impossible it is to categorize him as a particular kind of stylist. At turns he can be satirical, poetical, sarcastic, rhetorical, philosophical or mystical, gliding so easily from one to the other that the average reader is hard put to determine whether or not to take him at face value.

His description of mystical states of consciousness clarifies what tomes of more erudite writing fails to elucidate. It is in effect a continuation of Part I of Book 4 brought to maturity. Nearly three decades had elapsed between the writing of these two books, in which time his own inner development had soared ineffably. A great deal of what he has to say may seem prosaic at first sight, but do not be fooled by this. Other of his comments are profound beyond belief, requiring careful and long meditation if full value is to be derived from them.

This is not a book to be read while standing or running. It is a high water mark of Crowley’s literary career, incorporating all that we should expect from one who had experimented with and mastered most technical forms of spiritual growth. There is humor here, a great deal of sagacity, and much practical advice. This book cannot be dispensed with for the student for whom Yoga is ‘the way.’

Israel Regardie
March 21, 1969
Studio City, CA


Ultra-Processed Foods: AI’s New Contribution to Nutrition Science

Featured Neuroscience· June 2, 2023

Summary: 
Researchers developed a machine learning algorithm, FoodProX, capable of predicting the degree of processing in food products.

The tool scores foods on a scale from zero (minimally or unprocessed) to 100 (highly ultra-processed). FoodProX bridges gaps in existing nutrient databases, providing higher resolution analysis of processed foods.

This development is a significant advancement for researchers examining the health impacts of processed foods.

Key Facts:
FoodProX is a machine learning tool that predicts the level of processing in a food product.

The tool utilizes nutritional information from the U.S. Department of Agriculture’s Food and Nutrient Database.

The AI tool confirmed that more than 73% of the U.S. food system is ultra-processed.
Source: Northeastern University


Northeastern researchers have been busy trying to better understand the links between “ultra-processed foods” and human health through the university-sponsored Foodome project.

As part of that effort, researchers with the the Center for Complex Network Research have now developed a machine learning algorithm they say accurately predicts the degree of processing in food products that make up the U.S. food supply.

Their findings were published in Nature Communications in April.

The machine learning classifier, called FoodProX, uses nutritional labeling information provided by the U.S. Department of Agriculture’s Food and Nutrient Database for Dietary Studies as inputs to score the level of processing in a given food product.

The algorithm works by producing an output that represents the likelihood that a respective food falls into one of the four categories that are part of the NOVA food classification system—a system developed by researchers at the University of SĂ£o Paulo, Brazil, that the researchers say is “widely used in epidemiological studies.”
Ultimately, the AI tool confirmed the team’s prior finding that more than 73% of the U.S. food system is ultra-processed, while providing a level of detail not previously obtainable. Credit: Neuroscience News

Users can try out the tool by visiting TrueFood research project’s website. Users can search for a food to see its food processing score. The algorithm assigns each product a single score between zero (which denotes “minimally or unprocessed” food) and 100 (highly ultra-processed food).

Using FoodProX, researchers were able to bridge gaps in the Nutrient Database for Dietary Studies; classify “complex recipes and mixed foods and meals”; and provide a higher resolution lens with which to examine processed foods.

As a result, the researchers note that FoodProX provides a sharper understanding of just how processed foods actually are—an important step for researchers studying the health impacts these foods have.

The researchers note how the NOVA system, which splits foods into four classifications, from “unprocessed or minimally processed” to ultra-processed, is fundamentally limiting because it doesn’t account for the different gradations of processing within each separate category.

“These perceived homogeneity of NOVA 4 foods limits both scientific research and practical consumer guidance on the health effects of differing degrees of processing,” the researchers wrote.

“It also reduces the industry’s incentives to reformulate foods towards less processed offerings, shifting investments from the ultra-processed NOVA 4 foods to the less processed NOVA 1 and NOVA 3 categories.”

“In the paper what we do is really say that we believe that nutritional information, so the chemicals that are measured as nutrients in the nutritional facts, somehow encode the fingerprint of food processing,” says Giulia Menichetti, senior research scientist at Northeastern’s Network Science Institute and lead author of the research.

“Because when we process a food, when we modify some staple ingredients, we change its chemistry in many different ways.”

That “fingerprinting” is the way that researchers can glean insight into just how many chemical alterations have been made to a given food.

“We don’t necessarily know what all the chemical fingerprints are that are associated, one-to-one, with each process,” Menichetti told Northeastern Global News. “We can’t even enumerate how many different ways there are to process a food.”

Ultimately, the AI tool confirmed the team’s prior finding that more than 73% of the U.S. food system is ultra-processed, while providing a level of detail not previously obtainable. Menichetti says her team is the first to successfully create an AI tool that reliably assesses the chemical content of food.

“It’s the first paper in the space of nutrition and public health that leverages machine learning to reproducibly and systematically score foods according to their degree of food processing,” she says.

The team’s work is significant because, as Menichetti says, “there wasn’t much of a data culture” in the field of nutrition and health science as it relates to food processing, which promoted less scientifically rigorous conversations about what processing even means.

“When you don’t have a systematic way to look at a food and assess its properties, then it’s hard to enable large studies elsewhere in the world that are comparable,” Menichetti says.

“FPro helps us assess an individual’s diet quality, offering predictive power over 200+ health variables,” says Albert-LĂ¡szlĂ³ BarabĂ¡si, Robert Gray Dodge Professor of Network Science at Northeastern and co-author of the study.

“It tells us the impact of replacing processed foods with less processed alternatives of the same item, resulting in personalized dietary shifts with minimal effort.”
About this machine learning research news

Author: Tanner Stening
Source: Northeastern University
Contact: Tanner Stening – Northeastern University
Image: The image is credited to Neuroscience News

Original Research: Open access.
Machine learning prediction of the degree of food processing” by Giulia Menichetti et al. Nature Communications

Abstract

Machine learning prediction of the degree of food processing

Despite the accumulating evidence that increased consumption of ultra-processed food has adverse health implications, it remains difficult to decide what constitutes processed food.

Indeed, the current processing-based classification of food has limited coverage and does not differentiate between degrees of processing, hindering consumer choices and slowing research on the health implications of processed food.


Here we introduce a machine learning algorithm that accurately predicts the degree of processing for any food, indicating that over 73% of the US food supply is ultra-processed.

We show that the increased reliance of an individual’s diet on ultra-processed food correlates with higher risk of metabolic syndrome, diabetes, angina, elevated blood pressure and biological age, and reduces the bio-availability of vitamins.

Finally, we find that replacing foods with less processed alternatives can significantly reduce the health implications of ultra-processed food, suggesting that access to information on the degree of processing, currently unavailable to consumers, could improve population health.
Canine Brain Atlas Sheds Light on Evolution of Human Brain Function



To create the functional brain atlas, 33 trained family dogs were included in the study. During the fMRI recording, the dogs were not given any task other than to lie still in the scanner. 

Featured Neuroscience· May 27, 2023


Summary: A recent study using a novel canine brain atlas has led to significant insights about the evolution of the human brain. By investigating brain activity in dogs through fMRI, researchers revealed the critical role of the cingulate cortex and the lateral frontal lobes in problem-solving and task-switching.

The research also highlighted how brain areas function in synchrony to form task-specific networks. This innovative study offers potential in understanding conditions related to brain area communication and integration, including aging, anxiety, and psychiatric disorders.

Key Facts:
he study utilized a new canine resting state fMRI brain atlas to analyze the dog’s brain activity and revealed the important role of the cingulate cortex in the evolution of the mammalian brain.

33 trained family dogs were part of the study, and the fMRI recordings were made when the dogs were in a resting state.

The new rs-fMRI brain atlas could aid in the study of conditions where integration and communication among brain areas are impaired, such as aging, anxiety, and psychiatric disorders.
Source: ELTE

A study on canine brain networks reveals that during mammalian brain evolution, the role of the cingulate cortex, a bilateral structure located deep in the cerebral cortex, was partly taken over by the lateral frontal lobes, which control problem-solving, task-switching, and goal-directed behavior.

The study relies on a new canine resting state fMRI brain atlas, which can aid in the analysis of diseases characterized by dysfunctional integration and communication among brain areas.

Researchers interested in how dogs think can not only deduce it from their behavior, but they can also investigate their brain activity using fMRI (functional magnetic resonance imaging) to identify and see which areas of the brain are active when the dog reacts to external stimuli.


The method identifies the brain mechanisms that influence the dog’s learning and memory, resulting in superior dog training methods as well as knowledge on the evolutionary steps that led to the development of human brain function.

The Department of Ethology at Eötvös LorĂ¡nd University (ELTE) has been at the forefront of developing the methodology for canine fMRI measurements since 2006.

The training methodology for pet dogs was developed by MĂ¡rta GĂ¡csi, who has also made significant contributions to the introduction of assistance dog training in Hungary.

She adopted many methods from there, complementing them with socially motivated training based on rival training principles discovered through ethological research.

“In this approach, the learner is strongly motivated to learn the task by observing the work of an already trained dog and desiring the praise received for it. As a result of fMRI training, the trained dog is capable of (and eager to!) lie motionless in the MRI scanner for eight minutes, in exchange for expected petting and treats.”

In recent years, canine fMRI has generally involved playing sounds to the animals and investigating which brain areas are activated during the brain processing of the sounds.

Brain activity signals are typically projected onto an anatomical atlas to establish which brain region is affected.

However, the problem is that functional activities are irregular, not necessarily following anatomically defined regular boundaries. Parts of the brain are generally involved in processing specific inputs together, i.e., they act in synchrony, forming a functional brain network.

“We have decided to create a dog brain atlas that organizes anatomical regions into functional networks, illustrating which regions belong to a task type and showcasing their locations.” said Dora Szabo, first author of the study published in Brain Structure and Function.


New atlas for dog brain researchers

To create the functional brain atlas, 33 trained family dogs were included in the study. During the fMRI recording, the dogs were not given any task other than to lie still in the scanner.

This is the so-called resting state fMRI, or rs-fMRI for short, which examines brain activity without the subject engaging in any specific task, without concentrating or thinking about anything in particular, in a “resting state”.

Data obtained this way can reveal which brain areas are functionally related to each other and which are most closely connected, enabling researchers to study brain networks and connections.

The original methodology was further enhanced by applying network theory with the help of Milan Janosov, a network and data scientist at Central European University.

While previous research could only describe model-based networks regardless of anatomical boundaries, new canine MRI brain atlases reflecting the anatomical regions at the required resolution enabled researchers to study the strength of connections between network members or between networks, as well as compare species due to the large number of dogs measured.
Brains dominated by different areas in dogs and humans

According to the study, networks in the lateral frontal lobe (frontoparietal) that control problem-solving, task-switching, and goal-directed behavior have a smaller role in dogs than in humans. In their place, the cingulate cortex, a bilateral structure located deep in the cerebral cortex, plays a central role.

It is involved in a number of vital processes as well as reward processing and emotion regulation. The cingulate cortex in dogs is proportionally larger than in humans.

The effects of aging

The researchers measured dogs of various ages, the oldest being 14 years old. As mentioned earlier, the dogs must lie motionless to obtain valid measurements.

“The data revealed that older dogs were slightly less capable of maintaining their initial position.

“This difference, however, was very small, as even in their case, the displacement of the head was less than 0.4 mm. In this aspect, they are similar to humans, as older people also find it more challenging to maintain stillness for extended periods of time compared to younger individuals.” said Eniko Kubinyi, a senior researcher studying cognitive aging in dogs.

“The study provides a glimpse into the evolution of the human brain, suggesting that during mammalian brain evolution, the role of the cingulate cortex was partly taken over by frontoparietal regions.”

In addition, the new rs-fMRI brain atlas can aid in the investigation of conditions in which integration and communication across brain areas are impaired, resulting in a dysfunctional division of tasks. Aging, anxiety, and psychiatric disorders are some examples of such conditions.

Funding: The project has received funding from the European Research Council (ERC, 680040), from the Hungarian Academy of Sciences via a grant to the MTA-ELTE ‘LendĂ¼let/Momentum’ Companion Animal Research Group (PH1404/21) and the National Brain Programme 3.0 (NAP2022-I-3/2022), as well as the ELKH-ELTE Comparative Ethology Research Group (01031).

About this neuroscience research news


Author: Sara Bohm
Source: ELTE
Contact: Sara Bohm – ELTE
Image: The image is credited to Neuroscience News
Original Research: Open access.
Central nodes of canine functional brain networks are concentrated in the cingulate gyrus” by MĂ¡rta GĂ¡csi et al. Brain Structure and Function

Abstract

Central nodes of canine functional brain networks are concentrated in the cingulate gyrus

Compared to the field of human fMRI, knowledge about functional networks in dogs is scarce. In this paper, we present the first anatomically-defined ROI (region of interest) based functional network map of the companion dog brain. We scanned 33 awake dogs in a “task-free condition”.

Our trained subjects, similarly to humans, remain willingly motionless during scanning. Our goal is to provide a reference map with a current best estimate for the organisation of the cerebral cortex as measured by functional connectivity.

The findings extend a previous spatial ICA (independent component analysis) study (Szabo et al. in Sci Rep 9(1):1.25. https://doi.org/10.1038/s41598-019-51752-2, 2019), with the current study including (1) more subjects and (2) improved scanning protocol to avoid asymmetric lateral distortions.

In dogs, similarly to humans (Sacca et al. in J Neurosci Methods. https://doi.org/10.1016/j.jneumeth.2021.109084, 2021), aging resulted in increasing framewise displacement (i.e. head motion) in the scanner.

Despite the inherently different approaches between model-free ICA and model-based ROI, the resulting functional networks show a remarkable similarity.

However, in the present study, we did not detect a designated auditory network. Instead, we identified two highly connected, lateralised multi-region networks extending to non-homotropic regions (Sylvian L, Sylvian R), including the respective auditory regions, together with the associative and sensorimotor cortices and the insular cortex.
I SUPPORT THE BCSPCA AND ABSPCA
B.C. animal welfare groups sound alarm over lack of pet foster homes, food bank supplies
A man is pictured sitting on a bench with a cat and dog. (Paws for Hope Animal Foundation)

Becca Clarkson
CTVNewsVancouver.ca Reporter
Published May 25, 2023 

Two animal welfare organizations in B.C. are sounding the alarm over a lack of resources available to care for people’s pets.

This week, statements released by both the Paws for Hope Animal Foundation and the BC SPCA highlighted an urgent need for more pet foster parents and the struggles facing pet food banks.

Both organizations point to various crises to explain the growing need—as Paws for Hope looks to support pet owners fleeing violent households while the SPCA focuses on helping those displaced by natural disasters.

NO PET LEFT BEHIND


Paws for Hope says demand for its crisis foster care program—No Pet Left Behind—is higher than it’s ever been.

“We can’t keep up,” the charity wrote in a statement Wednesday.

Animal abuse is present in 89 per cent of domestic violence cases, according to Paws for Hope’s website.

The foundation also supports pet owners who are struggling with addiction and receiving mental health treatments.

The No Pet Left Behind program is a standalone in the province, but a lack of available foster homes means Paws for Hope is having to turn people away.


“Women and children are fleeing violence, families are losing pet-friendly housing and individuals are seeking vital treatment. People’s lives are at stake,” Kathy Powelson, executive director of Paws for Hope, said in the statement.

She describes the foster families that participate in the program as “very special.”

“They care for the pets of people in crisis, knowing that they will not have the opportunity to adopt their foster animal,” said Powelson. “By being there for a pet and person in need, they are saving lives and keeping families together.”

Paws for Hope covers veterinary services and provides all necessities to foster families or individuals.

Anyone who is interested in joining the program as a pet foster is asked to visit the Paws for Hope website, or contact the program co-ordinator by emailing cassie@pawsforhope.org or calling 604-506-9297.

DISPLACED BY DISASTER

Natural disasters are also threatening the well-being of pets and guardians across the province, the BC SPCA warned Thursday.

Diane Waters, outreach specialist for the BC SPCA, says evacuation orders and alerts issued over wildfires or floods can keep people and their furry companions away from their homes for weeks at a time.

“They often rely on the BC SPCA’s pet food banks for food and supplies until they are allowed to return,” Waters said in a statement.

She says 155 organizations are currently receiving support from the BC SPCA—up from 139 last year, when the society provided a total of 532,000 meals through pet food banks.

One community that hasn’t been impacted by recent wildfire-or-flood-triggered evacuations, Victoria, has seen demand for the pet food bank program surge by 25 per cent since 2022, according to the BC SPCA.

“The current food security landscape in our community and rising costs of living have had an impact,” said Waters.

The BC SPCA’s biggest need right now, according to Waters, is litter and dry and wet food for cats.

Volunteers are also needed to assist with the collection and distribution of pet food and supplies.


Two generous British Columbians have agreed to match all donations up to $10,000 in response to the increased demand facing BC SPCA.


For more information, people are being asked to contact Waters at 778-242-2710 or email foodbank@spca.bc.ca