Monday, April 20, 2026

 

Brain scan can reveal the risk of psychiatric hospitalisation





University of Copenhagen





One in four psychiatric patients in Denmark are readmitted and that carries major personal and societal costs. But can we predict who will be readmitted, while others return to everyday life without symptoms? That is exactly what Professor Kamilla Miskowiak aims to support through her latest research.

She is a professor of cognitive neuropsychiatry at the Department of Clinical Medicine at the University of Copenhagen, and in a new study she and her colleagues examined people with major depressive disorder or bipolar disorder and identified clear neurological and behavioural patterns that may help reveal who is at particular risk of readmission.

“Our study suggests that the brain’s reaction to emotional stimuli may be an important piece of the puzzle when trying to understand who is at risk of a deterioration in their illness. And it may help guide future treatment,” says Kamilla Miskowiak.

The brain’s alarm button

In the first part of the study, 112 participants with depression or bipolar disorder were put in an fMRI scanner while being shown images of happy or fearful faces. The researchers then measured activity in the amygdala – the brain’s “alarm button”, which alerts us to danger.

The second part of the study took place outside the scanner. Here, participants were shown faces expressing different emotions – fear, happiness, sadness, anger, surprise, and disgust – and the researchers recorded how quickly they identified each one.

In both cases, it was clear that some people reacted more strongly to negative emotions than others.

Vulnerability across diagnoses

The researchers then followed participants over the course of a year and found a link between emotional reactivity and risk of hospitalisation. Participants with a strong amygdala response to fearful faces had a significantly higher risk of being admitted.

Those who identified negative emotions more quickly than positive ones also were at higher risk of admission. In both cases, this applied to people with depression as well as bipolar disorder.

“So this is a vulnerability marker that cuts across diagnoses, and it suggests that we have found broader neurological changes in people with affective disorders,” says Kamilla Miskowiak.

In other words, participants’ brains had a negativity bias and misinterpreted signals in the environment that were not actually threatening. For each small increase in the brain’s response to fear, the risk of hospitalisation rose by 17%.

“Psychiatric disorders such as depression can feel like invisible illnesses, and some people may feel it is their own fault or are told to simply pull themselves together. But we can actually see that there is a real neurological vulnerability. The good thing is that we can then treat this vulnerability,” says Kamilla Miskowiak.

A strong need for identifying the right patients

Depression costs Danish society almost DKK 10 billion annually in treatment, care and medication, and DKK 25 billion in lost productivity, according to figures from the Danish Health Authority from 2022. That same year, there were more than 58,000 psychiatric hospitalisations in Denmark, and a quarter of patients were readmitted within 30 days, according to Local Government Denmark. So there is a strong need to identify who requires extra support.

Although MRI scanning is expensive and unlikely to be used for routine assessment of all patients with depression or bipolar disorder, it is easy to carry out a simple test of people’s reactions to facial expressions – one that does not require a brain scanner. The researchers are already developing an online tool that will make it easy for clinicians to administer and interpret the test.

“Of course, it needs to be used alongside an assessment of other factors in someone’s life, such as previous hospitalisations. But it may be a way to screen for who is at increased risk,” says Kamilla Miskowiak.

We still do not fully understand what happens in the brain when some people develop mental disorders. That is why Kamilla Miskowiak and her team work to identify so‑called biomarkers – measurable signs that something is beginning to go awry.

“At the GP, you can have a throat swab to see whether an infection is caused by a virus or bacteria and get the right treatment. But in psychiatry we lack that kind of biomarker. So, if this finding can become a biomarker that predicts prognosis, it would be hugely important,” she says.

 

African swine fever is quietly spreading across Nepal's pig sector




Shanghai Jiao Tong University Journal Center
Impacts, risk factors, and control strategies for African swine fever outbreaks in Nepal 

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Between 2022 and 2025, Nepal recorded 48 ASF outbreaks resulting in 17,005 confirmed pig deaths (CFR: 92.91%), a 14.5% decline in pig population, a 9.8% reduction in pork output, and the first confirmed case in wild boar. Epidemiological evidence points to swill feeding, cross-border livestock trade, inadequate biosecurity, unhygienic slaughter practices, and monsoon-associated transmission dynamics as primary drivers of outbreak spread. To address these vulnerabilities, the study recommends a multi-pronged response encompassing strengthened veterinary services, enhanced surveillance, rigorous biosecurity enforcement, public awareness campaigns, and greater regional cooperation. Collectively, these findings underscore the need for a coordinated One Health strategy that bridges policy, epidemiological monitoring, and community engagement to safeguard livestock production, rural livelihoods, and public health.

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Credit: Sameer Thakur, Kshitiz Shrestha, Ram Chandra Acharya, Parikshya Gurung, Surendra Karki.






A new study provides the first comprehensive analysis of African swine fever outbreaks in Nepal, revealing a disease that has quietly dismantled livelihoods, disrupted food security, and exposed deep gaps in the country's animal health system — with no vaccine in sight.

 

Since its first detection in March 2022, African swine fever (ASF) has swept through Nepal's pig farming sector with alarming speed and lethality. A new study published in Science in One Health offers the most thorough epidemiological account of the outbreak to date, documenting 48 confirmed outbreaks, 17,005 officially reported pig deaths — and warning that the true toll is likely far worse.

A disease that kills almost everything it touches

ASF is caused by a highly resilient virus for which there is currently no commercially available vaccine or cure. In Nepal, the case fatality rate has reached 92.91% — meaning that when ASF enters a farm, virtually no pig survives. Official figures record 17,005 confirmed pig deaths through June 2025, but the research team estimates the actual number may be closer to 70,000, as widespread underreporting — driven by fears of stigma and the absence of compensation schemes for affected farmers — has masked the true scale of the crisis.

The consequences have rippled through Nepal's entire pig sector. Between fiscal years 2021/22 and 2022/23, the national pig population fell by 14.5% (a loss of approximately 231,000 animals), while pork production dropped 9.8%, erasing years of steady growth. For a sector that had been expanding at roughly 10% per year and was increasingly central to Nepal's meat economy, the reversal has been stark.

Who bears the burden?

The human cost is inseparable from the numbers. Pig farming in Nepal is not merely an agricultural activity — for ethnic communities such as the Rai, Limbu, Tharu, and Magar, it is deeply woven into cultural identity, ritual practice, and daily nutrition. Pigs feature in religious ceremonies, communal festivals, and ancestral rites. When ASF strikes, it does not simply reduce income; it severs a thread connecting communities to their heritage.

At the market level, disrupted supply chains have pushed up pork prices, threatening food security for rural households that depend on pork as an affordable source of protein. Nepal's credibility in international trade has also taken a hit: the United States imposed a ban on Nepali pork products in response to ongoing outbreaks, underlining the global reach of what might otherwise appear to be a local problem.

The estimated direct economic loss stands at USD 20 million — and that figure accounts only for the market value of pigs lost. Indirect costs, including the loss of breeding stock, reduced restocking due to persistent fear of reinfection, and the burden placed on an already overstretched veterinary system, are expected to push the real figure considerably higher.

Why is ASF spreading so fast?

The study identifies a web of interconnected risk factors that together create ideal conditions for the virus to persist and spread. Swill feeding — the common practice of feeding pigs kitchen scraps and food waste from hotels and restaurants — is one of the most significant entry points: improperly treated waste containing ASF-contaminated pork products can transmit the virus directly. Informal cross-border trade with India and China, where ASF is also present, provides a near-constant route for reintroduction. Poor on-farm biosecurity — inadequate fencing, uncontrolled animal movement, and substandard slaughter practices — allows the virus to spread once it arrives.

Timing also matters. Outbreaks peak during the monsoon season, when flooding, higher humidity, and the movement of pigs for cultural festivals converge to accelerate transmission. The disease is disproportionately concentrated in high-density pig farming regions, particularly in Koshi Province, which holds over half of Nepal's domestic pig population.

Perhaps most concerning, the study documents ASF's confirmed spread to wild boar — a development with long-term implications. Wild boar can act as a reservoir, sustaining the virus in the environment and making eradication far more complex.

A system under strain

The outbreak has exposed structural vulnerabilities that predate ASF itself. Nepal's veterinary infrastructure is thinly spread and under-resourced, already managing simultaneous outbreaks of Lumpy Skin Disease, Glanders, avian influenza, and Classical Swine Fever. Diagnostic capacity is concentrated in central laboratories, slowing outbreak confirmation in rural areas. Legislation governing biosecurity and slaughter hygiene exists on paper but is inconsistently enforced. And at the community level, many smallholder farmers simply lack the knowledge or resources to implement basic protective measures.

Together, these gaps mean that ASF control in Nepal has been reactive rather than preventive — and reactive is rarely sufficient against a virus this lethal.

A roadmap for resilience

The study does not stop at diagnosis. It proposes a concrete, multi-layered response strategy built around eight priority areas: strengthening surveillance and early detection, expanding veterinary and diagnostic infrastructure, enforcing farm-level biosecurity, tightening cross-border movement controls, raising public awareness, developing a dedicated legal framework for ASF, monitoring wild boar–domestic pig interactions, and deepening community and stakeholder engagement.

Crucially, the authors frame these recommendations within a One Health approach — recognizing that ASF cannot be effectively controlled by the animal health sector alone. The virus sits at the intersection of animal health, human livelihoods, food security, and ecosystem dynamics. Sustainable control requires coordinated action across government ministries, local communities, regional neighbors, and international organizations such as FAO and WOAH.

Lessons for a region at risk

Nepal's experience is a cautionary tale for other resource-limited countries navigating transboundary animal diseases. As the authors note, the country's challenges are not unique — limited veterinary capacity, porous borders, smallholder-dominated farming systems, and low biosecurity awareness are common across South and Southeast Asia. What Nepal offers, through this study, is a documented record of what happens when a highly lethal, vaccine-preventable-in-principle disease enters such a system — and a practical framework for building resilience before the next outbreak strikes.

 

Quality by Design in nanotechnology applied to cosmetics: A systematic review from conception to production






Journal of Dermatologic Science and Cosmetic Technology
Graphical Abstract 

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Graphical Abstract

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Credit: This infographic is free to use in connection with this story if credited to 'University of Coimbra'






A new systematic review evaluates the current and potential application of Quality by Design (QbD) in the development of nanocosmetics and cosmeceuticals.

Following predefined inclusion and exclusion criteria, the researchers selected 52 original research articles that simultaneously address QbD principles, nanotechnology, and cosmetic applications. The review excluded studies focused solely on toxicology, analytical methods, or marketing. The selected articles were analyzed to identify and categorize key parameters across the product lifecycle.

Among Critical Quality Attributes (CQAs), particle size was reported in 94.2% of the articles, followed by polydispersity index (PDI) at 76.9% and zeta potential at 75%. For Critical Material Attributes (CMAs), surfactant concentration or type dominated, appearing in 46.1% of the studies. Regarding Critical Process Parameters (CPPs), sonication time was the most frequently cited, at 15.4%.

The use of Design of Experiments (DoE) is highlighted as an essential statistical tool for optimizing multifactorial interactions. However, the review also points out that advanced process control strategies—such as Process Analytical Technology (PAT), continuous manufacturing (CM), and real-time release testing (RTRT)—remain largely underexplored in nanocosmetic development.

The authors conclude that while QbD adoption in this field is still evolving, its systematic application—combined with emerging manufacturing technologies—can effectively bridge the gap between laboratory-scale innovation and industrial-scale production. This approach ultimately enables safer, more effective, and consumer-driven nanocosmetic products.

 

Simulations suggest Greenland ice sheet variability shifted from precession to obliquity dominance in the Pliocene Pleistocene transition




Science China Press
The evolution and periodic variations of the simulated GrIS volume based on the reconstructed mean pCO₂ curve from Martinez-Boti et al (2015. 

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The evolution and periodic variations of the simulated GrIS volume based on the reconstructed mean pCO₂ curve from Martinez-Boti et al (2015.

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Credit: ©Science China Press






The Pliocene-Pleistocene transition marks an important climatic transition when Northern Hemisphere ice sheets expanded. However, the rhythm of Greenland ice sheet change and its contribution to global ocean oxygen isotope records have remained difficult to quantify.

To address this, the team used the IPSL-CM5A Earth system model together with the GRISLI three-dimensional thermo-mechanical ice sheet model. They ran simulations under multiple atmospheric CO2 scenarios and orbital forcing (summer insolation at 65 degrees north), then analyzed the simulated ice-volume time series with wavelet and wavelet-coherence methods to identify dominant cycles and phase relationships.

The simulations indicate that when the Greenland ice sheet was small, its variability tracked summer insolation more closely and showed a stronger precession signal. As the ice sheet expanded, the 41,000-year obliquity cycle became dominant. After about 2.7 million years ago, variability at sub-orbital to millennial timescales intensified, suggesting increased dynamical instability as the ice sheet reached a larger state.

Comparisons with the LR04 benthic oxygen-isotope stack suggest Greenland ice volume contributed more to the 41,000-year signal after about 2.7 million years ago. At the same time, the results imply that Greenland ice changes alone cannot fully explain the persistence of the 41,000-year cycle and longer-period strengthening in marine records, highlighting the need to consider other Northern Hemisphere ice sheets, Antarctic ice changes, and ocean processes.

 

See the article:

Tan N, Guo Z, Xu C, Hu B, Zhang Z. 2026. The cyclicity of Greenland ice sheet evolution during the Pliocene-Pleistocene transition. Science China Earth Sciences, 69(2): 621–629, https://doi.org/10.1007/s11430-025-1796-4