Tuesday, January 21, 2025

 

Why you should (not) get a dog: the pros and cons of dog ownership


Are dogs really the key to better health and a happier life?


Peer-Reviewed Publication

Eötvös Loránd University

Dog looking 

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Are dogs really the key to better health and a happier life? In this new study, dog owners were invited to describe the biggest benefits and challenges of dog ownership. The commitments and responsibilities of having a dog were found to be both a joy and a burden, highlighting the importance of making a conscious adoption choice.

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Credit: Photo: Vanda Molnár




Are dogs really the key to better health and a happier life? In this new study, dog owners were invited to describe the biggest benefits and challenges of dog ownership. The commitments and responsibilities of having a dog were found to be both a joy and a burden, highlighting the importance of making a conscious adoption choice.

The pet dog population has been growing worldwide. Often benefiting from good press in mainstream media, dog ownership is generally assumed to improve human lives, providing companionship and boosting well-being. While bringing a dog into the family does come with many benefits for a lot of people, the costs of dog ownership should not be overlooked. In fact, previous studies conducted on larger, representative samples of the population could not conclude on a generalisable “pet effect”:

pet owners are not always happier and healthier than non-pet owners.

Caring for a dog can be costly in time and money, but also emotionally. For instance, having a dog with behavioural problems or a long-term medical condition may elicit worry, sadness, and guilt. In the long run, these negative feelings might turn into chronic stress or depression.

The more people know about dogs, the more prepared they are for the reality of having one at home. Informing about the positive, but also the negative facets of dog ownership, may help prospective owners to engage in the adoption process more consciously. Yet, comprehensive overviews of the many costs and benefits of sharing life with a dog remain scarce. Which facets of dog ownership are considered the most costly, and which the most beneficial? How do dog owners perceive and describe the positive and negative aspects of their experience?

To find out, researchers at the Department of Ethology at Eötvös Loránd University (ELTE) first asked dog owners to rate a list of 33 neutrally-phrased statements related to pet dogs (such as “Dogs need to be trained and educated”, “Dogs can bring mess and dirt into the house”, “Dogs can keep children company”) on a scale from -3 (big disadvantage) to +3 (big advantage). Participants in the study were then invited to describe in their own words what were, for them, the biggest cost and the biggest benefit of having a dog.

The belief that dogs brighten people’s lives was found to be the most positively rated item from the list (2.78 on average), while the short lifespan of dogs was rated the most negatively (-1.67 on average). Adding up all ratings together, the authors noted that positive statements were, on average, rated much higher (2.06) than negative statements (-0.66), tipping the cost/benefit scales in favour of the positive side of the dog ownership experience. 

“We were also interested to see if all of these facets of dog ownership could group together into bigger components” said Laura Gillet, PhD student at the Department of Ethology and lead author of the study. “In the end, we found three of them. The first one encompassed the emotional, physical, and social benefits of having a dog. The second one was more on the negative side, referring to the negative emotions and practical challenges arising because of the dog. The third and last component comprised aspects related to the commitment and responsibilities coming with dog ownership in the long term, including, for instance, the time that has to be dedicated to the dog’s daily care and training, as well as the influence of the dog on its owner’s routine and quality of sleep.” This last component divided dog owners the most: while it was positive for some, others saw it as a more neutral, or even as a negative aspect of dog ownership.

“We also analysed open-ended responses because they offer an even better understanding of the costs and benefits” explains Eniko Kubinyi, head of the Department of Ethology at ELTE and principal investigator of the MTA-ELTE ‘Momentum’ Companion Animal Research Group.

“More than sixty percent of dog owners spontaneously mentioned that the biggest benefit of pet dogs was the meaningful and valued relationship they developed with them.

Dogs were often described as honest, devoted and supportive social partners, showing unconditional, selfless love to their human family.” Daily life benefits were the second most frequently cited theme (31%), with owners mentioning that having a dog improved their lifestyle by encouraging physical exercise and outdoors activities, and brought stability and structure in their life. For 15% of respondents, another major advantage of sharing life with a dog was the opportunity to bond with a member of another species, whose intrinsic qualities were deemed numerous. 

As for the biggest cost, dog owners were almost unanimous: caring for a dog costs money. Veterinary costs, feeding and other expenses were cited by 95% of the respondents. In comparison, emotional and practical costs were rarely mentioned, only by 4-5% of owners. 

In summary, the results of this study show that the dog ownership experience is multifaceted and cannot be described in terms of universal costs and benefits that would apply to all owners. Most importantly, the researchers found that, depending on the owner, the commitment and responsibilities coming with dog ownership can be perceived just as much as beneficial as they can be perceived as an emotional and practical burden. Although a ratio in favour of the positive side of dog ownership was to be expected, especially in a sample of dog enthusiasts, it is also possible that some owners struggled with their dogs without being able to talk about it for fear of being judged and labelled as a “bad owner”. Therefore, the authors’ findings highlight the importance of publicly addressing not only the positive effects of pet dogs, but also the many challenges coming with dog ownership, to reduce the gap between expectations and reality and improve the lives of both humans and dogs.

The authors are currently running a new study to deepen the understanding of (dis)advantages of dog ownership. Dog owners across the world are invited to answer the following questionnaire: https://tally.so/r/nPXKPb

Are dogs really the key to better health and a happier life? In this new study, dog owners were invited to describe the biggest benefits and challenges of dog ownership. The commitments and responsibilities of having a dog were found to be both a joy and a burden, highlighting the importance of making a conscious adoption choice.
For more: https://biologia.elte.hu/en

Credit

Photo: Enikő Kubinyi


Are dogs really the key to better health and a happier life? In this new study, dog owners were invited to describe the biggest benefits and challenges of dog ownership. The commitments and responsibilities of having a dog were found to be both a joy and a burden, highlighting the importance of making a conscious adoption choice.
For more: https://biologia.elte.hu/en

Credit

Photo: Enikő Kubinyi / ELTE Eötvös Loránd University




Original article: Gillet, L., Turcsán, B., Kubinyi, E. (2025). Perceived costs and benefits of companion dog keeping based on a convenience sample of dog owners. Scientific Reports. DOI: 10.1038/s41598-025-85254-1

Funding: The study was supported by the Hungarian Academy of Sciences via a grant to the MTA-ELTE ‘Lendület/Momentum’ Companion Animal Research Group (Grant No. PH1404/21). KE was also supported by the National Brain Programme 3.0 (NAP2022-I-3/2022), and LG by the DKOP-23 Doctoral Excellence Program of the Ministry for Culture and Innovation from the source of the National Research, Development and Innovation Fund. PR work was funded by MEC_N 149124.

 

Water as a waste management source: SEOULTECH researchers revolutionize catalytic plastic recycling



Water enhances the conversion of polyolefins into valuable fuels when using ruthenium catalysts, offering a promising solution to global plastic waste



Seoul National University of Science & Technology

Unraveling the dual effect of water on catalytic plastic recycling 

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Researchers investigate the mechanisms by which water, when added to the reaction mixture of a ruthenium-based catalytic process, enhances the conversion of polyolefins into fuels like diesel and gasoline. Their findings represent a breakthrough in catalytic plastic recycling, a promising avenue for tackling the ever-growing threat of plastic pollution.

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Credit: Insoo Ro of Seoul National University of Science and Technology, Korea




Plastics are undeniably useful materials that have found their way into virtually all human activities. However, with yearly global plastic production exceeding 400 million tons, the environmental threat posed by increased plastic consumption and disposal, contributing to its pollution, is also bigger than ever. Considering that only one-tenth of all plastic waste is recycled, new technologies that can help tackle this growing problem are urgently required.

Catalytic recycling techniques, such as hydrogenolysis and hydrocracking, are emerging chemical processes that can break down plastic waste into simpler components using catalysts. Traditional recycling involves melting and remolding plastics into lower-quality materials, whereas catalytic recycling can convert plastics into valuable chemicals and fuels, enabling a more sustainable and efficient reuse. Though certainly promising, catalytic recycling methods need further refinements before they are ready for adoption on an industrial scale.

In a recent study published in Nature Communications online on 29 November, 2024, a research team led by Professor Insoo Ro of Seoul National University of Science and Technology, Korea, recently made a breakthrough discovery in the catalytic recycling of polyolefins, which comprise 55% of global plastic waste. As explained in their article, the researchers revealed the surprising benefits of adding water during polyolefin depolymerization when using ruthenium (Ru)-based catalysts.

After synthesizing and experimenting on various Ru-based catalysts on different supports, the team found that catalysts with both metal and acid sites exhibit dramatically improved conversion rates when water is added to the reaction mixture. “The addition of water alters the reaction mechanisms, promoting pathways that enhance catalytic activity while suppressing coke formation,” explains Dr. Ro, “This dual role improves process efficiency, extends catalyst lifespan, and reduces operational costs.

The researchers investigated the reaction mechanisms in detail, shedding light on the effect of Ru content and the proximity and balance between metal and acid sites. Under optimal conditions, Ru/zeolite-Y catalysts showcased a 96.9% conversion rate for polyolefins.

Finally, to explore the viability of this type of catalytic recycling, the team conducted a techno-economic analysis and a life cycle assessment of the proposed approach. The results clearly underscored the potential of implementing a real commercial-scale process using Ru/zeolite-Y catalyst. “The addition of water not only enhances carbon efficiency, it improves economic and environmental performance, also increases the conversion of polyolefins to valuable fuels like gasoline and diesel,” highlights Dr. Ro. Adding further, he says, “This approach thus represents a viable alternative to conventional waste management practices and offers a solution to reduce landfill and ocean pollution caused by polyolefins—the largest contributor to plastic waste.

Overall, this breakthrough in catalytic depolymerization could revolutionize how we deal with plastic pollution and help us efficiently deal with this serious environmental threat. The research team has high hopes that this technology will evolve over the next few years to the point that mixed plastic waste can be processed without pre-sorting, making recycling efforts more cost-effective and simpler to implement. “By demonstrating a sustainable and economic approach to transforming plastic waste into valuable resources, our research could help drive policy changes, inspire investment in advanced recycling infrastructure, and foster international collaborations to address the global plastic waste crisis. Over time, these advancements promise cleaner environments, reduced pollution, and a more sustainable future,” concludes Dr. Ro on an optimistic note.

 

***

 

Reference

DOI: 10.1038/s41467-024-54495-5

 

About the institute Seoul National University of Science and Technology (SEOULTECH)

Seoul National University of Science and Technology, commonly known as 'SEOULTECH,' is a national university located in Nowon-gu, Seoul, South Korea. Founded in April 1910, around the time of the establishment of the Republic of Korea, SEOULTECH has grown into a large and comprehensive university with a campus size of 504,922 m2. It comprises 10 undergraduate schools, 35 departments, 6 graduate schools, and has an enrollment of approximately 14,595 students.

Website: https://en.seoultech.ac.kr/

 

About the author

Professor Insoo Ro earned his B.S. degree magna cum laude in Chemical Engineering from Rice University, USA, in 2012 and his Ph.D. from the University of Wisconsin-Madison, USA, in 2017 under Professor James Dumesic and Prof. George Huber. After conducting postdoctoral research at UC Santa Barbara, USA, with Prof. Phillip Christopher, he joined Seoul National University of Science and Technology, Korea, in 2020 as an Assistant Professor. He has published over 30 papers in various prestigious journals, including Nature and Nature Communications, and has received numerous awards, such as the Miwon Young Scientist Award and the Science & Technology Outstanding Paper Award.

 SCI-FI-TEK-70 YRS STILL WAITING

SMART, one step closer to nuclear fusion with its first plasma


This advance represents a milestone on the path to achieving the most compact fusion device possible, one of the main objectives of the researchers from the Plasma Science and Fusion Technology Laboratory of the University of Seville 


University of Seville

Tokamak plasma 

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First tokamak plasma at the SMall Aspect Ratio Tokamak – SMART – recorded with a fast-framing camera in the visible spectral range.

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Credit: Universidad de Sevilla




In a pioneering approach to achieve fusion energy, the SMART device has successfully generated its first tokamak plasma. This step brings the international fusion community closer to achieving sustainable, clean, and virtually limitless energy through controlled fusion reactions.

The SMART tokamak, a state-of-the-art experimental fusion device designed, constructed and operated by the Plasma Science and Fusion Technology Laboratory of the University of Seville, is a worldwide unique spherical tokamak due to its flexible shaping capabilities. SMART has been designed to demonstrate the unique physics and engineering properties of Negative Triangularity shaped plasmas towards compact fusion power plants based on Spherical Tokamaks.

Prof. Manuel García Muñoz, Principal Investigator of the SMART tokamak, stated: “This is an important achievement for the entire team as we are now entering the operational phase of SMART. The SMART approach is a potential game changer with attractive fusion performance and power handling for future compact fusion reactors. We have exciting times ahead!
Prof. Eleonora Viezzer, co-PI of the SMART project, adds: “We were all very excited to see the first magnetically confined plasma and are looking forward to exploiting the capabilities of the SMART device together with the international scientific community. SMART has awoken great interest worldwide.

When negative becomes positive and compact

The triangularity describes the shape of the plasma. Most tokamaks operate with positive triangularity, meaning that the plasma shape looks like a D. When the D is mirrored (as shown in the figure on the right), the plasma has negative triangularity.

Negative triangularity plasma shapes feature enhanced performance as it suppresses instabilities that expel particles and energy from the plasma, preventing severe damage to the tokamak wall. Besides offering high fusion performance, negative triangularity also feature attractive power handling solutions, given that it covers a larger divertor area for distributing the heat exhaust. This also facilitates the engineering design for future compact fusion power plants.

Fusion2Grid aimed at developing the foundation for the most compact fusion power plant

SMART is the first step in the Fusion2Grid strategy led by the PSFT team and, in collaboration with the international fusion community, is aimed at the most compact and most efficient magnetically confined fusion power plant based on Negative Triangularity shaped Spherical Tokamaks.

SMART will be the first compact spherical tokamak operating at fusion temperatures with negative triangularity shaped plasmas.

The objective of SMART is to provide the physics and engineering basis for the most compact design of a fusion power plant based on high-field Spherical Tokamaks combined with Negative Triangularity. The solenoid-driven plasma represents a major achievement in the timeline of getting SMART online and advancing towards the most compact fusion device.

The Plasma Science and Fusion Technology Lab of the University of Seville hosts the SMall Aspect Ratio Tokamak (SMART) and leads several worldwide efforts on energetic particles and plasma transport and stability towards the development of magnetically confined fusion energy.

 

Can ChatGPT pass a Ph.D.-level history test?



According to a new study, the answer is “not yet.” GPT-4 Turbo couldn’t get most of the answers right: it had a balanced accuracy of 46%.




Complexity Science Hub

World map displaying Seshat's division of regions inspired by the UN geographic regions 

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On the map, each marker represents a "Natural Geographic Area" (NGA), as defined by Seshat experts. The researchers identified and collected data about each polity that occupied or overlapped with each NGA over the course of history. The colors correspond to the regional division scheme used in the current paper based on the UN geographic regions.

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Credit: Complexity Science Hub




[Vienna, 21.01.2025]—For the past decade, complexity scientist Peter Turchin has been working with collaborators to bring together the most current and structured body of knowledge about human history in one place: the Seshat Global History Databank. Over the past year, together with computer scientist Maria del Rio-Chanona, he has begun to wonder if artificial intelligence chatbots could help historians and archeologists to gather data and better understand the past. As a first step, they wanted to assess the AI tools understanding of historical knowledge.

In collaboration with an international team of experts, they decided to evaluate the historical knowledge of advanced A.I. models such as ChatGPT-4, Llama, and Gemini.

“Large language models (LLMs), such as ChatGPT, have been enormously successful in some fields—for example, they have largely succeeded by replacing paralegals. But when it comes to making judgments about the characteristics of past societies, especially those located outside North America and Western Europe, their ability to do so is much more limited,” says Turchin, who leads the Complexity Science Hub's (CSH) research group on social complexity and collapse

Artificial “Intelligence” is Domain-Specific

“One surprising finding, which emerged from this study, was just how bad these models were. This result shows that artificial ‘intelligence’ is quite domain-specific. LLMs do well in some contexts, but very poorly, compared to humans, in others,” adds Turchin.

The results of the study were presented recently at the NeurIPS conference, A.I.’s premier annual gathering, in Vancouver. GPT-4 Turbo, the best-performing model, scored 46% on a four-choice question test. According to Turchin and his team, although these results are an improvement over the baseline of 25% of random guessing, they highlight the considerable gaps in A.I.'s understanding of historical knowledge.

“I thought the A.I. chatbots would do a lot better,” says del Rio-Chanona, the study’s corresponding author. “History is often viewed as facts, but sometimes interpretation is necessary to make sense of it,” adds del Rio-Chanona, an external faculty member at CSH and an assistant professor at University College London. 

Setting a Benchmark for LLMs

This new assessment, the first of its kind, challenged these A.I. systems to answer questions at a graduate and expert level, similar to ones answered in Seshat (and the researchers used the knowledge in Seshat to test the accuracy of the A.I. answers). Seshat is a vast, evidence-based resource that compiles historical knowledge across 600 societies worldwide, spanning more than 36,000 data points and over 2,700 scholarly references.

“We wanted to set a benchmark for assessing the ability of these LLMs to handle expert-level history knowledge,” explains first author Jakob Hauser, a resident scientist at CSH. “The Seshat Databank allows us to go beyond ‘general knowledge’ questions. A key component of our benchmark is that we not only test whether these LLMs can identify correct facts, but also explicitly ask whether a fact can be proven or inferred from indirect evidence.”

Disparities Across Time Periods and Geographic Regions

The benchmark also reveals other important insights into the ability of current chatbots—a total of seven models from the Gemini, OpenAI, and Llama families—to comprehend global history. For instance, they were most accurate in answering questions about ancient history, particularly from 8,000 BCE to 3,000 BCE. However, their accuracy dropped sharply for more recent periods, with the largest gaps in understanding events from 1,500 CE to the present.

In addition, the results highlight the disparity in model performance across geographic regions. OpenAI’s models performed better for Latin America and the Caribbean, while Llama performed best for Northern America. Both OpenAI’s and Llama models’ performance was worse for Sub-Saharan Africa. Llama also performed poorly for Oceania. This suggests potential biases in the training data, which may overemphasize certain historical narratives while neglecting others, according to the study. 

Better on Legal System, Worse on Discrimination

The benchmark also found differences in performance across categories. Models performed best on legal systems and social complexity. “But they struggled with topics such as discrimination and social mobility,” says del Rio-Chanona.

"The main takeaway from this study is that LLMs, while impressive, still lack the depth of understanding required for advanced history. They're great for basic facts, but when it comes to more nuanced, PhD-level historical inquiry, they're not yet up to the task,” adds del Rio-Chanona. According to the benchmark, the model that performed best was GPT-4 Turbo, with a balanced accuracy of 46%, while the weakest was Llama-3.1-8B with 33.6%.

Next Steps

Del Rio-Chanona and the other researchers—from CSH, the University of Oxford, and the Alan Turing Institute—are committed to expanding the dataset and improving the benchmark. They plan to include more data from underrepresented regions and incorporate more complex historical questions, according to Hauser. 

"We plan to continue refining the benchmark by integrating additional data points from diverse regions, especially the Global South. We also look forward to testing more recent LLM models, such as o3, to see if they can bridge the gaps identified in this study," says Hauser. 

The CSH scientist emphasizes that the benchmark's findings can be valuable to both historians and AI developers. For historians, archaeologists, and social scientists, knowing the strengths and limitations of A.I. chatbots can help guide their use in historical research. For A.I. developers, these results highlight areas for improvement, particularly in mitigating regional biases and enhancing the models' ability to handle complex, nuanced historical knowledge.

The figure shows the balanced accuracy distribution across space and time for GPT-4 Turbo, the model with the best overall performance. Darker colors indicate greater balanced accuracy, while completely white areas signify the absence of data points. More recent periods are generally colored lighter, indicating lower accuracy of the model. Although one might assume that lower accuracy in more recent periods is due to more data being available, this is not necessarily true. As an example, the model's accuracy is higher for the earlier years of the NGA Basin of Mexico, where there are roughly the same number of data points between 5000 BCE and 1000 BCE.

Credit

Complexity Science Hub

About the study 

The paper “Large Language Models’ Expert-level Global History Knowledge Benchmark (HiST-LLM),” by Jakob HauserDaniel KondorJenny ReddishMajid Benam, Enrico Cioni, Federica Villa, James S. BennettDaniel HoyerPieter FrançoisPeter Turchin, and R. Maria del Rio-Chanona, was presented at the NeurIPS conference, in Vancouver, in December. 


About CSH

The Complexity Science Hub (CSH) is Europe’s research center for the study of complex systems. We derive meaning from data from a range of disciplines—economics, medicine, ecology, and the social sciences—as a basis for actionable solutions for a better world. Established in 2015, we have grown to over 70 researchers, driven by the increasing demand to gain a genuine understanding of the networks that underlie society, from healthcare to supply chains. Through our complexity science approaches linking physics, mathematics, and computational modeling with data and network science, we develop the capacity to address today’s and tomorrow’s challenges.

 

Clean hydrogen in minutes: Microwaves deliver clean energy faster



Pohang University of Science & Technology (POSTECH)
Schematic illustration of oxygen release upon interaction with microwaves (left) and a corresponding graph of oxygen release and uptake (right) 

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Schematic illustration of oxygen release upon interaction with microwaves (left) and a corresponding graph of oxygen release and uptake (right)

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Credit: POSTECH




An interdisciplinary team at POSTECH, led by Professor Gunsu S. Yun, doctoral candidate Jaemin Yoo (Department of Physics, Division of Advanced Nuclear Engineering), Professor Hyungyu Jin, and doctoral candidate Dongkyu Lee (Department of Mechanical Engineering), has developed a groundbreaking technology that addresses key limitations in clean hydrogen production using microwaves. They have also successfully elucidated the underlying mechanism of this innovative process. Their findings, published as the Inside Front Cover of Journal of Materials Chemistry A, mark a transformative step in the pursuit of sustainable energy.

 

As the world shifts away from fossil fuels, clean hydrogen has emerged as a leading candidate for next-generation energy due to its zero carbon emissions. However, existing hydrogen production technologies face significant barriers. Conventional thermochemical methods, which rely on the oxidation-reduction of metal oxides, require extremely high temperatures of up to 1,500°C. These methods are not only energy-intensive and costly but also challenging to scale, limiting their practical application.

 

To address these challenges, the POSTECH team turned to a familiar yet underutilized energy source: “microwaves”1 energy, the same source used in household microwave ovens. While microwaves are commonly associated with heating food, they can also drive chemical reactions efficiently. The researchers demonstrated that microwave energy could lower the reduction temperature of Gd-doped ceria (CeO2)—a benchmark material for hydrogen production—to below 600℃, cutting the temperature requirement by over 60 percent. Remarkably, microwave energy was found to replace 75 percent of the thermal energy needed for the reaction, a breakthrough for sustainable hydrogen production.

 

Another critical advancement lies in the creation of “oxygen vacancies”2, which are defects in the material structure essential for splitting water into hydrogen. Conventional methods often take hours at extremely high temperatures to form these vacancies. The POSTECH team achieved the same results in just minutes at temperatures below 600°C by leveraging microwave technology. This rapid process was further validated with a thermodynamic model, which provided valuable insight into the mechanism underlying the microwave-driven reaction.

 

Professor Hyungyu Jin stated, “This research has the potential to revolutionize the commercial viability of thermochemical hydrogen production technologies. It will also pave the way for the development of new materials optimized for microwave-driven chemical processes.” Professor Gunsu Yun added, “Introducing a new mechanism powered by microwaves and overcoming the limitations of existing processes are major achievements, made possible through the close interdisciplinary collaboration of our research team.”

 

This study was supported by the Circle Foundation’s Innovative Science and Technology Program, the Ministry of Science and ICT’s Mid-Career Researcher Program, POSTECH’s Basic Science Research Institute, and the Ministry of Trade, Industry, and Energy.