Wednesday, July 03, 2024

 CRIMINAL CAPITALI$M

Regulation needed to curb favoritism between countries and credit rating agencies, new research suggests



Countries are rated more highly when their finance ministers know credit ratings agency executives



HERIOT-WATT UNIVERSITY

Professor Patrycja Klusak of Edinburgh Business School at Heriot-Watt University. 

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PROFESSOR PATRYCJA KLUSAK OF EDINBURGH BUSINESS SCHOOL AT HERIOT-WATT UNIVERSITY.

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CREDIT: HERIOT-WATT UNIVERSITY





A country’s financial health is rated more highly when its finance minister knows top executives in credit ratings agencies, new research led by Heriot-Watt University in Edinburgh suggests.

Patrycja Klusak, an expert in credit ratings agencies and Professor of Accounting and Finance at the University’s Edinburgh Business School, says there is an inherent ‘favouritism’ problem in the business model of credit ratings agencies. This builds up when the directors and executives of credit ratings agencies have ongoing or past professional connections with particular finance ministers. For example, when a ratings agency executive and finance minister worked together in the same organisation, or are former colleagues.

Countries where a finance minister has these links are associated with higher ratings than countries without these professional connections, the research concludes. The upside is particularly pronounced for developing countries, which can be rated up to seven times more highly than the equivalent impact for developed countries.

The findings are based on an analysis of professional connections between finance ministers and the top executives of the three largest credit rating agencies – Fitch, Moody’s, and S&P – for 38 European countries between January 2000 and November 2017. The research, Politicians’ connections and sovereign credit ratings, is published in the Journal of International Financial Markets, Institutions & Money and is co-authored by Dr Yurtsev Uymaz, Associate Professor in Finance with Norwich Business School at University of East Anglia and Rasha Alsakka, Professor in Banking & Finance with Bangor Business School at Bangor University.

“The ratings applied to a country’s financial health are hugely important because they help that country – and its banks and businesses – to access capital and borrow money at affordable rates,” Professor Klusak explains. “They also underpin direct investment flows into big national projects and affect the efficiency and stability of capital markets across borders.

“If ratings agencies are consciously or unconsciously inflating their ratings of particular countries, it’s a problem, because for financial markets to work properly, buyers of government debt need to know the true creditworthiness of that country.”

The European sovereign debt crisis of 2010–12 exposed the risk of excessive national borrowing fuelling a collapse in confidence that can spill over into other countries and their corporations, banks and financial assets, Professor Klusak says. 

The crisis began with the collapse of Iceland’s banking system in 2008 and led to financial bailouts in Greece, Spain, Ireland, Portugal and Cyprus. “Drastic sovereign rating downgrades” in Portugal, Italy, Ireland, Greece, and Spain were key to this and “shook the stock markets,” the research notes.

European regulators scrutinised ratings agencies in the aftermath of this crisis, particularly the conflict of interest when countries pay agencies to rate them, and get a seat on ratings agency committees as a result. This practice, known as solicited ratings, leads to higher ratings than unsolicited ratings, the research finds. Issuing higher ratings may help the ratings agency attract more business from that country, while countries in turn are safeguarding the health of their economy through higher ratings.

Professor Klusak says the research is the first to unveil how lower credit ratings for developing countries can be influenced by credit agencies using ‘soft’ information – for example, a discussion with the country about its financial prospects and management policies – in addition to hard economic or fiscal data, such as gross domestic product.

“Developing countries can be more uncertain and opaque, with less available data,” Professor Klusak explains. “So ratings agencies need to be more conservative in their analysis. But, when presented with professional connections, these nations benefit more from higher ratings than their developed counterparts.”

The research finds that, for developed countries, business ties to ratings agencies can add roughly between one to two-thirds of a notch – classification – to their ratings across S&P, Moody’s and Fitch. For developing countries, the boost is seven, two and four times bigger respectively than the equivalent for developed countries.

The research has “wide-ranging implications” for regulators, governments, market participants and credit rating agencies, Professor Klusak says. During election times, voters are also more interested in news about a country’s financial health, because it “infers the quality of incumbent governments,” she adds.

The paper calls for new rules to ensure that sovereign ratings – credit ratings of countries – are objective and independent from the rating of other asset types, like corporate loans, to avoid conflicts of interest.

Working conditions for sovereign ratings teams should also be improved – because these teams face “immense pressure” to release ratings which might bring in other business from that country – for example from its corporations and financial institutions, the researchers say.

The study contributes towards the “scarce literature” investigating professional connections in the rating industry, the researchers conclude.

Professor Klusak has been researching the behaviour and regulation of credit ratings agencies for more than ten years. Her work also explores climate and biodiversity loss and its effect on future credit ratings of countries. Before joining Heriot-Watt University, Dr Klusak was an Associate Professor in Banking and Finance with Norwich Business School at the University of East Anglia, where she has been based for eight years. Professor Klusak is also an Affiliated Researcher at the Bennett Institute for Public Policy, a public policy research institute at the University of Cambridge.

 

Tax on antibiotics could help tackle threat of drug-resistance




UNIVERSITY OF EAST ANGLIA




Taxing certain antibiotics could help efforts to tackle the escalating threat of antibiotic resistance in humans, according to a new study by the University of East Anglia’s Centre for Competition Policy, Loughborough University and E.CA Economics.

Antimicrobial resistance (AMR) poses a significant global risk, causing an estimated 700,000 deaths annually. A  key AMR report previously warned that if unchecked, it could endanger 10 million lives a year and result in $100 trillion in lost economic output by 2050.

Human use of antibiotics is the primary driver of AMR, with the majority in the UK prescribed via GPs. Classified as narrow or broad-spectrum, narrow-spectrum drugs target specific bacteria, helping slow AMR but require knowing the organism causing the infection. Broad-spectrum antibiotics are used more generally when the organism is unknown, exacerbating AMR.

The UK government report, published in 2016, recommended testing for pathogens before prescribing and using narrow-spectrum drugs when appropriate, with costly or time-consuming testing leading to overprescribing of broad-spectrum antibiotics and contributing to AMR levels.

In this new study, economists examined the feasibility of ‘taxing’ GP surgeries for using particular broad-spectrum drugs – the idea being that when they prescribe them, the amount charged to their drug budget would be higher by the amount of the tax. 

Writing in the International Journal of Industrial Organization, they argue that because GPs can choose which drug to prescribe this could encourage greater use of narrow-spectrum drugs as well as aim to reduce testing time and costs. It could also potentially help manage the demand for antibiotics by adjusting the relative pricing of the drugs.

Co-author Prof Farasat Bokhari, previously of UEA’s School of Economics and now at Loughborough University, said: “Antibiotic resistance is an important issue and a priority for UK health policy. It’s possibly the next ticking time bomb in the healthcare system.  

“In our analysis, the financial burden of the tax is not on the patients but rather on the GP practices who may be overprescribing in some cases. Our findings show that switching from broad to narrow-spectrum is possible via changes in relative prices brought about via taxation, but it has implications - in terms of the total cost to society.

“While the alternative tax regimes we consider differ in how much demand will shift, our estimates suggest that these policies can be highly effective in managing that demand.”

The researchers stress that such tax policies should not be implemented without allowing for exemptions based on the severity of the disease, which the physicians could certify. They also acknowledge that if decisions are time-critical and it is not an option to wait for a precise diagnostic test to know which narrow-spectrum antibiotic to prescribe, this may slow the switch from broad to narrow-spectrum.

The study draws on 10 years of monthly sales data for antibiotics dispensed in UK pharmacies and uses economic models to assess substitution patterns between different antibiotics, together with the impact of prices, seasonality, spectrum, and other characteristics of a drug on its demand.

It looked at the impact of two types of taxes on different groups of drugs. Firstly, a percentage tax (5% or 20%) on all antibiotics, all broad-spectrum antibiotics, and specific broad-spectrum antibiotics known to contribute most to antibiotic resistance (co-amoxiclav, quinolones, and cephalosporins). Secondly, a fixed amount of tax per unit of the drug.

A 20% tax on all antibiotics reduces total antibiotic use by 12.7%. However, it only reduces the use of the most problematic broad-spectrum antibiotics by 29.4%. This tax results in a consumer welfare loss, that is, the difference between what an individual is willing to pay and what they actually pay, of £322 per 1000 people, which amounts to about £19.9 million a year in the UK.

However, if the same 20% tax is applied only to the broad-spectrum antibiotics that contribute most to antibiotic resistance, their use drops by 37.7%, and the overall antibiotic use drops by only 2.38% because most patients switch to narrow-spectrum drugs. This more targeted tax results in a smaller consumer welfare loss of £78.2 per 1000 people, or £4.8 million a year.

Lead author Dr Weijie Yan, at E.CA Economics, said: “The consumer welfare loss and overall welfare loss from taxing these antibiotics are significant, however they are relatively small compared to the predicted societal costs of antibiotic resistance in terms of deaths and economic losses.

“While our simulations show how much demand is shifted from broad to narrow-spectrum, and at what cost, it does not calculate the long-term benefits of switching to drugs with a lower AMR footprint.

“It is also clear that the estimated loss in welfare is much smaller than previous estimates of worldwide costs, and so it may be well worth considering such remedies to shift demand to narrow-spectrum drugs.”

'Antibacterial resistance and the cost of affecting demand: the case of UK antibiotics', Farasat A.S. Bokhari, Franco Mariuzzo, Weijie Yan is published in the International Journal of Industrial Organization.

Disclaimer: AAAS

 

How to promote menstrual cups as an economic and sustainable option



Researchers investigate consumers’ preferences on menstrual products and devise guidelines to bolster the adoption of menstrual cups in different countries.



RITSUMEIKAN UNIVERSITY

Understanding what factors influence consumers’ decisions regarding menstrual products 

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MENSTRUAL CUPS ARE SUSTAINABLE ALTERNATIVES TO SINGLE-USE MENSTRUAL PRODUCTS, BUT IT IS NOT CLEAR WHY THEIR ADOPTION IS NOT VERY WIDESPREAD. IN THIS STUDY, RESEARCHERS ANALYZED CONSUMERS’ PREFERENCES WHEN PROVIDED WITH DIFFERENT TYPES OF INFORMATION REGARDING MENSTRUAL PRODUCTS, SEEKING TO UNDERSTAND THEIR DECISION MAKING AND COME UP WITH EFFECTIVE PROMOTIONAL STRATEGIES.

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CREDIT: TAKURO UEHARA FROM RITSUMEIKAN UNIVERSITY




In recent decades, single-use plastics have pervaded modern societies, causing a significant surge in plastic pollution that exacts a heavy toll on our environment. Addressing this issue requires prioritizing sustainable alternatives to single-use plastics wherever feasible.

Disposable menstrual products are a notable contributor to plastic waste, with billions of sanitary napkins and tampons being discarded every year. Despite the availability of sustainable options like menstrual cups (MCs), consumer preference for single-use products remains dominant across many countries. Many possible reasons for this have been reported in previous studies, such as inadequate awareness of MCs' maintenance and their environmental benefits, as well as preconceived notions about comfort and health impacts. However, it is not entirely clear how consumers incorporate these factors when deciding which menstrual products to purchase, which in turn makes it harder to devise effective promotional campaigns for MCs.

To address this knowledge gap, an international research team set out to understand how different information on menstrual products affects the decision making of consumers in different countries. Their study was published on June 24, 2024, in Volume 5 of Frontiers in Sustainability. Led by Professor Takuro Uehara from Ritsumeikan University, in collaboration with Ms. Sitadhira Prima Citta from Ritsumeikan University, Dr. Mateo Cordier from Université de Versailles-Saint-Quentin-en-Yvelines, Dr. Takahiro Tsuge from Sophia University, and Dr. Misuzu Asari from Research Institute for Humanity and Nature, the study employed large-scale online surveys and discrete choice experiments (DCE) to explore consumer decision-making across France, Japan, and Indonesia—countries with diverse socioeconomic and cultural contexts. Simply put, participants of the online surveys were presented with three options for menstrual products, namely MCs, sanitary napkins, and tampons. Different groups of participants also received different types of information regarding the products, such as their human health and environmental impact, and cost-effectiveness of MCs.

After analyzing the survey results, the researchers found that providing information about the superior cost-effectiveness of MCs was quite impactful in all three countries. “While sanitary napkins remain the most commonly used menstrual products in the surveyed countries, our study revealed that emphasizing the economic benefits of MCs can enhance their adoption compared to health and environmental benefits information,” states Uehara, “This shows that tailored information efforts emphasizing on cost saving could play a crucial role in promoting the use of MCs as sustainable menstrual products.

The researchers then considered potential strategies to turn MCs into consumers’ menstrual product of choice. “Government and non-profit organizations could launch educational campaigns highlighting the long-term financial benefits of MCs over disposable products, using health professionals, companies, and media outlets to spread this information. Placing cost-per-use information near MCs at points of purchase, a strategy known as simplification and framing, may also nudge consumers towards sustainable products,” muses Uehara.   

It is worth noting that the research team also explored the necessity of developing tailored strategies for each country, taking into account differences in consumers and markets. For instance, in Japan, influencer marketing and educational initiatives could effectively address public apprehensions and limited knowledge about MCs. In France, marketing efforts should emphasize the ease of use, comfort, and adaptability of MCs to an active lifestyle. Meanwhile, in Indonesia, where availability may pose a challenge, promoting locally produced MCs could not only boost adoption but also support small- and medium-sized enterprises.

Finally, Uehara notes the importance of equitable access and information if MCs are to become a mainstay. “The free provision of MCs can significantly enhance their adoption and help alleviate period poverty, particularly in low- and middle-income countries. However, these initiatives must ensure that the introduction of free MCs is accompanied by educational efforts to inform users about their benefits and maintenance requirements,” he concludes.

These efforts will hopefully lead to better marketing and promotional strategies for MCs, ultimately helping to create a more sustainable society free of plastic pollution.

 

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Reference

Title of original paper: Promoting menstrual cups as a sustainable alternative: A comparative study using a labeled discrete choice experiment

Journal: Frontiers in Sustainability

DOI: 10.3389/frsus.2024.1391491

 

About Ritsumeikan University, Japan

Ritsumeikan University is one of the most prestigious private universities in Japan. Its main campus is in Kyoto, where inspiring settings await researchers. With an unwavering objective to generate social symbiotic values and emergent talents, it aims to emerge as a next-generation research university. It will enhance researcher potential by providing support best suited to the needs of young and leading researchers, according to their career stage. Ritsumeikan University also endeavors to build a global research network as a “knowledge node” and disseminate achievements internationally, thereby contributing to the resolution of social/humanistic issues through interdisciplinary research and social implementation.

Website: http://en.ritsumei.ac.jp/

Ritsumeikan University Research Report: https://www.ritsumei.ac.jp/research/radiant/eng/

 

About Professor Takuro Uehara from Ritsumeikan University, Japan

Takuro Uehara obtained M.S. in Economics and PhD in Systems Science/Economics from Portland State University in 2011 and 2012, respectively. He joined Ritsumeikan University in 2013, where he currently serves as Professor at the College of Policy Science. His research interests are diverse, including plastic waste, electric waste, ecosystem services, relational values, and the sustainability assessment of coastal zones. He has employed various quantitative methods, system dynamics techniques, agent-based simulations, and stated preference methods. He has published over 50 papers in peer reviewed journals.

 

Funding information

This research was funded by the Environment Research and Technology Development Fund of the Environmental Restoration and Conservation Agency of Japan [grant number JPMEERF21S11920].

 

Climate change drives tree species towards colder, wetter regions



UNIVERSITY OF BIRMINGHAM





Climate change is likely to drive tree species towards colder and wetter regions of their geographical distribution, a new study has shown. 

The research, led by the University of Alcalá (UAH), in Spain, and including researchers at the University of Birmingham, draws together data from across Europe and North America to show that tree species in the Northern Hemisphere are starting to become denser in colder and wetter regions. 

The study, published in Proceedings of the National Academy of Sciences (PNAS) provides the first quantitative evidence that climate change is driving this change in the numbers of trees of each species across temperate forests on a continental scale. 

The researchers analyzed data from over two million trees, representing 73 species widely distributed across Europe and the United States. They investigated whether changes in tree density could be attributed to specific characteristics of each species, such as tolerance to arid conditions, or their capacity to disperse. Importantly, however, the study did not identify any single trait of the tree species as being decisive for these changes.  

“This lack of a definitive trait suggests that most species possess a degree of acclimation capability,” says Julen Astigarraga, from UAH and lead author of the study. 

Understanding how forest species are responding to climate change through increasing their density in these more northerly regions is essential for planning ecosystem conservation, management and restoration. 

“Some tree species which are currently used for ecosystem restoration in Europe may no longer be suitable in these regions in the near future,” says co-author Dr Thomas Pugh, of the University of Birmingham and Lund University. “In addition, massive reforestation programmes planned as a solution for capturing and storing carbon dioxide from the atmosphere might be limited in their effectiveness if they do not account for these responses.” 

The study represented a significant international collaboration, with scientists from 12 countries, and data analysis from more than 125,000 forest plots across Europe and North America. 

Adriane Esquivel Muelbert, an expert in forest ecology at the University of Birmingham and co-author on the paper, said: “This study required a significant international effort to pull together and harmonise data from many different sources. The data from these forest inventories is crucial for advancing our understanding of forest dynamics and their resilience to climate change.” 

The study was funded by the Spanish Ministry of Science and Innovation, and by the European Research Council’s TreeMort project. It included data and analysis from the Spanish National Forest Inventory, the Flemish Forest Inventory, the CzechTerra Landscape Inventory, the Finnish Forest Health Monitoring Network, the Dutch Forest Inventory, the Polish National Forest Inventory, the Swedish National Forest Inventory, and the United States Forest Service Forest Inventory and Analysis research program. 

ENDS 

For media enquiries please contact Tony Moran, International Communications Manager, University of Birmingham, tel: +44 (0)121 414 2772: email: t.moran@bham.ac.uk  

Notes to editor: 

  • The University of Birmingham is ranked amongst the world’s top 100 institutions. Its work brings people from across the world to Birmingham, including researchers, teachers and more than 8,000 international students from over 150 countries. 

 

From space to swamp: innovative AI method classifies mangrove species with unprecedented accuracy



Peer-Reviewed Publication

JOURNAL OF REMOTE SENSING

Flowchart of the methodology implemented in this study. 

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FLOWCHART OF THE METHODOLOGY IMPLEMENTED IN THIS STUDY.

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CREDIT: JOURNAL OF REMOTE SENSING




Mangrove ecosystems, vital for biodiversity and climate change mitigation, face challenges in monitoring and conservation due to their complex species composition. A new study introduces an AI-driven approach to classify mangrove species with remarkable accuracy, potentially transforming conservation efforts.

Mangroves are crucial for biodiversity, climate change mitigation, and coastal protection but face threats from climate change and human activities. Traditional monitoring methods fall short in accurately capturing their complex features. The integration of advanced machine learning algorithms with multisource remote sensing data offers a promising solution. Based on these challenges, it is essential to conduct in-depth research to develop more precise and effective techniques for mangrove species classification, which can significantly enhance conservation and restoration efforts.

Researchers from the Chinese Academy of Sciences have developed a novel framework for mangrove species classification using an XGBoost ensemble learning algorithm, as published in the Journal of Remote Sensing, on 6 Jun 2024. The study (DOI: 10.34133/remotesensing.0146), which combines multisource remote sensing data, offers a significant leap in the precision of mangrove species mapping.

The study examined the Zhanjiang Mangrove National Nature Reserve in China, using data from WorldView-2, OrbitaHyperSpectral, and ALOS-2 satellites. Researchers extracted 151 remote sensing features and designed 18 classification schemes to analyze the data. By combining these features with the XGBoost algorithm and recursive feature elimination, they achieved an impressive classification accuracy of 94.02%. The integration of multispectral, hyperspectral, and synthetic aperture radar data proved highly effective in distinguishing six different mangrove species. This approach demonstrated that the combined data sources significantly improved classification results compared to single-source data. The study highlights the potential of advanced remote sensing techniques and machine learning algorithms to enhance ecological monitoring and species classification, providing a robust framework for future research and practical applications in mangrove conservation.

Dr. Junjie Wang, corresponding author of the study, emphasizes the potential impact of this research, stating, "Our findings not only advance the field of mangrove species classification but also contribute to the broader application of AI in ecological conservation, providing a robust tool for environmental scientists and policymakers."

The application of this AI framework extends beyond species classification, offering insights into mangrove health, ecosystem dynamics, and aiding in the assessment of degradation and restoration efforts. The implications of this research are far-reaching, supporting sustainable development and conservation initiatives on a global scale.

###

References

DOI

10.34133/remotesensing.0146

Original Source URL

https://spj.science.org/doi/10.34133/remotesensing.0146

Funding information

This research was jointly funded by National Natural Science Foundation of China (42171379, 42222103, 42101379, and 42171372), Science and Technology Development Program of Jilin Province, China (20210101396JC), Youth Innovation Promotion Association of the Chinese Academy of Sciences (2017277 and 2021227), Young Scientist Group Project of Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences (2022QNXZ03), and Shenzhen Science and Technology Program (JCYJ20210324093210029).

About Journal of Remote Sensing

The Journal of Remote Sensingan online-only Open Access journal published in association with AIR-CAS, promotes the theory, science, and technology of remote sensing, as well as interdisciplinary research within earth and information science.

 

Nordic researchers develop predictive model for cross-border COVID spread


The uniquely multinational and cross-disciplinary research was made possible by transparent data-sharing between Nordic countries


AALTO UNIVERSITY




As COVID-19 spread globally in 2020, many countries swiftly closed their borders to prevent the disease from entering. However, there was little scientific evidence to support the effectiveness of such measures.

While post-COVID research has extensively focused on the efficacy of internal travel restrictions, cross-border travel has received less attention due to challenges in accessing quality data. In a major multidisciplinary collaboration effort across Finland, Sweden, Norway, and Denmark, a group of researchers — including mathematicians, physicists and computer scientists — have published a pioneering study on the spread of infections across Nordic borders from spring until the end of 2020. The report sheds light on the efficacy of cross-border travel restrictions, helping us better understand which measures actually make a difference.

‘There have been many studies using data and modelling within countries, but this cross-border research is rather unique,’ says Associate Professor of Mathematics Lasse Leskelä from Finland’s Aalto University.

The researchers developed a sophisticated mathematical model relying on a long trail of footwork gathering travel data from the four neighbouring countries. Focus was on the short-term spread of the disease at a stage of the pandemic when infections had already started to spread within each country.

Border closures a blunt tool

The modelling revealed that cross-border closures were only likely to have significant impact in very specific scenarios. For example, a substantial disparity in disease prevalence between two countries would have to be accompanied by a high volume of cross-border traffic for restrictions to notably impact spread. It is notable that even though Sweden’s comparatively loose restrictions in 2020 contributed to the nation having vastly more case numbers than in neighbouring Finland, the overall impact of cross-border travel on the Finnish disease situation was low in absolute terms.

‘The way I see these results is that the closing of borders was mostly not very well justified. This was done out of uncertainty, because countries did not know what else to do. Since it has so many adverse effects, my take on this is that in the future, such drastic measures must be very carefully considered’, says Professor Tapio Ala-Nissilä from Aalto University.

However, the researchers point out that in different stages of a pandemic situation, there can be many layers of complexity. If a government must act, choosing between restricting local populations within its borders versus restricting travel across them, the latter may prove the better option.

‘According to our model, travellers from Sweden were over 10 times more likely to have COVID-19 in the summer of 2020 than the domestic Finnish population. So if you think about when the restrictions should hit and who should be affected, it would make more sense to place restrictions on these travellers at this time,’ Assistant Professor Mikko Kivelä from Aalto University points out.

The model also shows interesting differences between types of travel. Commuters, who may spend half a day in the destination country at a time, played a smaller role in spreading infections than vacationers who possibly spent their entire infectious periods in the country.

Preparing for the next pandemic

Kivelä emphasises that in spring 2020, decision-makers were faced with myriad uncertainties that made it impossible to reliably analyse and estimate the effects of their countermeasures. This is also where the current study makes its most significant contribution – as a predictive model for future use.

‘The really important part is that we have developed different ways of looking at this question: a mathematical machinery to answer questions about what border control interventions are necessary and when to apply,’ says university researcher Mikhail Shubin from the University of Helsinki.

Although the current study pertains to the Nordics, the researchers say that it can be applied to other countries as well. The main concern is getting reliable and comparable data. Often, even if the outward appearance of a particular data set is promising, details like reporting delays will complicate its usage.

‘Access to mobility is not easy to gain, and within the Schengen area in particular there is no detailed tracking for who moves where. You need to have access to lots of data sets, from road crossings to railroads, ferries and aeroplanes. We also used mobile phone data to validate our findings,’ explains Leskelä‘Usually, to do this detailed modelling, you need personal contacts and you need to build trust.’ 

The study is part of the NordicMathCovid project. The project includes teams from Finland, Sweden and Norway and involves a number of universities and public institutions across the Nordics. Supported by NordForsk, the project started in September 2020 and has produced research on pandemic flows and vaccination strategies from varying angles.

The full journal article from PLOS Computational Biology can be found at https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1012182

World’s oldest artwork discovered in Indonesian cave


By AFP
July 3, 2024


The cave painting of a pig, the oldest narrative artwork made by humans - Copyright GRIFFITH UNIVERSITY/AFP -
Daniel Lawler

It may not look like much — just a flaking image of three people around a big red pig.

But the humble cave painting discovered in Indonesia is the oldest known narrative artwork ever made by human hands, dating back more than 51,000 years, new research said on Wednesday.

“This is the oldest evidence of storytelling,” Maxime Aubert, an archaeologist at Australia’s Griffith University, told AFP.

Aubert was part of the team that identified the previous record holder in 2019, a hunting scene found in a nearby Indonesian cave then estimated to be nearly 44,000 years old.

The latest discovery, which was dated using a new laser technique, marks “the first time we’ve passed the 50,000-year barrier,” said Aubert, a co-author of a new study in Nature describing the find.

That early humans were able to tell such a “sophisticated” story through art could rewrite our understanding of human cognitive evolution, he added.

“Our discovery suggests that storytelling was a much older part of human history… than previously thought,” study co-author archaeologist Adam Brumm told a press conference.

– New laser dating –


For the discovery, the researchers used a new method that uses lasers and computer software to create a “map” of rock samples.

This laser ablation technique is more precise, easier, quicker, cheaper, and requires much smaller rock samples than the previous uranium series method, Aubert said.

The team first tested the new technique on the previous record holder.

It determined that the hunting scene was actually at least 48,000 years old — 4,000 years older than the uranium series method determined in 2019.

The team then tried the laser method out on a previously undated painting first spotted in a cave on Indonesia’s Sulawesi island in 2017.

It was found to to be least 51,200 years old, smashing the previous record.

The painting, which is in poor condition, shows three people around a wild pig.

“We don’t know exactly what they’re doing,” Aubert admitted.

He speculated that the paintings were likely made by the first group of humans who moved through Southeast Asia before arriving in Australia around 65,000 years ago.

“It’s probably just a matter of time before we find samples that are older,” Aubert added.

– Art gap mystery –


Humans first evolved in Africa more than 300,000 years ago.

The first images known to have been made by humans are simple lines and patterns made in ochre found in South Africa dating back 100,000 years.

But then there is a “huge gap” in human art until the Indonesian cave paintings 50,000 years later, Aubert said.

“The question is, why is it not everywhere?”

One theory is that artwork elsewhere did not survive all those millennia. Another is that ancient art could still be out there waiting to be discovered.

Previously the first narrative art was thought to have emerged in Europe. A “lion man” statue found in Germany has been dated to around 40,000 years ago.

The date given for the Indonesian cave art is “quite provocative” because it is so much older than what has been found elsewhere, including in Europe, said Chris Stringer, an anthropologist at London’s Natural History Museum.

Stringer, who was not involved in the research, said the experienced team’s findings looked sound but needed to be confirmed by further dating.

“In my view this find reinforces the idea that representational art was first produced in Africa, before 50,000 years ago, and the concept spread as our species spread,” he told AFP.

“If that is true, much new supporting evidence from other areas including Africa has yet to emerge…”

 

Scientists Propose A New Measure Of Flexibility For Crystals

A study led by Professor Umesh V. Waghmare from the Jawaharlal Nehru Centre for Advanced Scientific Research (JNCASR) in Bengaluru has introduced a novel approach to quantify the mechanical flexibility of crystals. This research could transform the way materials are screened and designed, particularly in the field of Metal-organic frameworks (MOFs).

Their paper, “Quantifying the intrinsic mechanical flexibility of crystalline materials”, presents groundbreaking insights on the origin of mechanical flexibility and was published in the journal Physical Review B.

Metal-organic frameworks (MOFs) are a large class of crystalline materials which possess the remarkable ability to absorb gases, such as carbon dioxide, and store them as well as act as filters for crude oil purification.

The new study addresses these challenges by proposing a unique theoretical measure of flexibility based on the fractional release of elastic stress or strain energy.

Historically, flexibility in crystals has been assessed in terms of a parameter called elastic modulus, which is a measure of a material’s resistance to strain-induced deformation. In contrast, this study proposes a unique theoretical measure based on the fractional release of elastic stress or strain energy through internal structural rearrangements under symmetry constraints.

This new metric can be readily calculated using standard techniques of simulation and can rate the flexibility of a crystal on a scale of zero to one, zero signifying the least flexibility while one indicates maximum flexibility.

Additionally, this development provides a unique and quantitative insight into the flexibility of crystals, a dimension that was previously unexplored.

“This theoretical framework enables the screening of thousands of materials in databases, providing a cost-effective and efficient way to identify potential candidates for experimental testing,” said Prof. Waghmare. The measure rates crystal flexibility on a scale from zero to one, offering unprecedented insights into this previously unexplored dimension of material properties.

The research team, which included collaborators from Oxford University and the University of California, Santa Barbara, examined four different systems using theoretical calculations. They discovered that flexibility arises from large structural rearrangements associated with soft and hard vibrations within a crystal.

This new approach goes beyond traditional methods that focus solely on elastic properties, establishing flexibility as an intrinsic property of crystals. The findings could lead to the development of ultraflexible crystals and open doors to innovative materials with diverse industrial applications.

While the proposed measure is theoretical, it is expected to be highly valuable for experimentalists. The interdisciplinary nature of this research underscores the importance of collaboration in advancing materials science and paves the way for a new paradigm in the field.