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Science News for December 29, 2025


Combining satellite and regional numerical weather prediction effectively enhances the ability to forecast solar radiation

Researchers Min Chen and Liangchen Guo developed a new system using Fengyun-4B satellite data and regional numerical forecast model RMAPS-ST to improve ultra-short-term solar irradiance forecasting. The system achieved significant reductions in forecast errors, particularly in warm seasons and short-term forecasts.

SourceInstitute of Atmospheric Physics, Chinese Academy of Sciences·JournalAtmospheric and Oceanic Science Letters·DateDec 29, 2025

Long term biochar boosts sugarcane growth, soil health, and carbon savings in five year field trial

A five year field study shows biochar can boost sugarcane growth while reshaping soil life around the roots and reducing carbon dioxide emissions from the field for years without additional fertilization. The treatment improved soil fertility, nutrient use efficiency and beneficial bacterial groups in the rhizosphere.

SourceBiochar Editorial Office, Shenyang Agricultural University·JournalBiochar·TypeExperimental study·DateDec 29, 2025

Climate change reshapes business and finance: new insights on risks, investments, and digital assets

This special issue explores the relationship between climate change and business, examining how firms access capital, manage risk, leverage opportunities, and navigate policy shifts in an era of climate uncertainty. The research highlights that climate change is reshaping financial markets, corporate valuation, and investment logic.

SourceShanghai Jiao Tong University Journal Center·JournalChina Finance Review International·TypeNews article·DateDec 29, 2025

LSTM resolves the long-standing trade-off between sensitivity and measurement range

Researchers developed LSTM-assisted optical fiber interferometric sensing to overcome the limitation of free spectral range, achieving simultaneous high sensitivity and wide measurement range. The technology uses gating mechanisms and sequence learning capabilities of LSTM to model long-term dependencies in complex interference spectra.

Digital reshaping of banking stability: the dual role of transformation in systemic risk

This study examines the relationship between digital transformation and systemic risk in China's banking system, using a fixed-effects model to analyze the effects of big data, AI, blockchain, and cloud computing. Digital transformation is found to enhance resilience but also poses new risks.

SourceShanghai Jiao Tong University Journal Center·JournalChina Finance Review International·TypeNews article·DateDec 29, 2025

Statins significantly reduce mortality risk for adults with diabetes, regardless of cardiovascular risk

A large cohort study found that statins significantly reduce the risk of death and major cardiovascular events in adults with type 2 diabetes. The findings challenge long-standing uncertainty about whether patients at low risk benefit from preventive statin therapy, suggesting that the drugs may have broader protective value.

SourceAmerican College of Physicians·JournalAnnals of Internal Medicine·TypeNews article·DateDec 29, 2025

Seeing the invisible: Minimal residual disease opens a new window in breast cancer care

Researchers highlight how minimal residual disease detection is changing breast cancer management by capturing molecular traces of cancer at extremely low levels. CTDNA-based monitoring reveals relapse risk months ahead of clinical symptoms, enabling clinicians to identify high-risk patients and adjust treatment strategies in real time.

SourceChina Anti-Cancer Association·JournalCancer Biology & Medicine·DateDec 29, 2025

AIT signs five new partnerships to strengthen water, sanitation, and digital municipal services during IWA Water and Development Congress and Exhibition 2025

AIT has signed 5 MoUs with international partners to strengthen WASH systems, support digital innovation, and improve municipal governance across Asia. The partnerships aim to bring together governments, academia, development partners, innovators, and practitioners to accelerate the WASH agenda.

Linking leaf traits to light: A new framework for predicting canopy optical behavior

The study introduces a practical pathway to integrate realistic leaf optics into 3D canopy models, enabling more accurate simulations of light distribution. The approach achieves high predictive accuracy, linking leaf traits to optical behavior with coefficients of determination ranging from 0.83 to 0.99.

SourceNanjing Agricultural University The Academy of Science·JournalPlant Phenomics·TypeExperimental study·DateDec 29, 2025

Dlc1 regulates cardiac differentiation in embryonic stem cells

A recent study found that Dlc1 deletion affects cardiac differentiation in mouse embryonic stem cells by activating the canonical Wnt pathway. The study showed that Dlc1 deficiency promotes mesoderm lineage specification, leading to the accumulation of cardiac progenitors and blocking their further differentiation into cardiomyocytes.

SourceCompuscript Ltd·JournalGenes & Diseases·DateDec 29, 2025

Biology-based brain model matches animals in learning, enables new discovery

A new computational model of the brain based on biology and physiology learned a simple visual category learning task as well as lab animals, discovering counterintuitive activity in neurons. The model produced naturalistic dynamics and learning without training data, enabling researchers to identify new insights into brain function an...

SourcePicower Institute at MIT·JournalNature Communications·TypeExperimental study·DateDec 29, 2025

Machine learning drives drug repurposing for neuroblastoma

A study published in EMBO Molecular Medicine has identified a combination of statins and phenothiazines that shows promise in treating aggressive neuroblastoma. The drug combination was found to impede tumour growth and improve survival rates in laboratory trials with mice.

SourceLund University·JournalEMBO Molecular Medicine·TypeComputational simulation/modeling·DateDec 29, 2025

Low-power memristor array for real-time edge computing in smart power grid inspections

A research team at Huazhong University of Science and Technology developed an Ag/Sb2O3/Au molecular-crystal memristor array for real-time edge computing in smart power grid inspections. The device enables ultra-low-power switching, supporting non-volatile and volatile modes for tasks like image convolution and transient event detection.

SourceScience China Press·JournalScience Bulletin·TypeExperimental study·DateDec 29, 2025

Breakthrough in intractable intestinal disease treatment using xenogeneic-free intestinal stem cells​

Researchers have developed a xenogeneic-free culture platform that significantly enhances the migration and regenerative capacity of intestinal stem cells. The technology, called PLUS, maintains identical performance even after storage at room temperature for three years, securing industrial scalability.

Josephson junctions — quantum computing building blocks — are possible with only one superconductor, experiment confirms

Experimental evidence confirms that a single superconductor can induce electron pairing and synchronization in another material, enabling the creation of a Josephson junction with only one superconductor. This discovery has potential implications for topological superconductors and conventional quantum computers.

SourceUniversity at Buffalo·JournalNature Communications·TypeExperimental study·DateDec 29, 2025

Beyond vegetation indices: A phenomic prediction strategy sharpens genetic signals from drone-based crop imaging

A new study demonstrates that phenomics can match or outperform traditional indices in predicting disease resistance and genetic analysis. By integrating multispectral and thermal data with statistical models, researchers found improved results when combining phenomic prediction with genomic information.

SourceNanjing Agricultural University The Academy of Science·JournalPlant Phenomics·TypeExperimental study·DateDec 29, 2025

A physics-constrained AI framework enables accurate thermal field inversion for chiplet-based packaging with sparse data

Researchers developed a physics-constrained, data-efficient AI framework that accurately reconstructs temperature fields from limited sensor data in chiplet-based packaging. The approach achieves high accuracy and generalization without excessive noise, enabling reliable thermal characterization.

SourceELSP·JournalAI & Materials·TypeComputational simulation/modeling·DateDec 29, 2025

Seeing the invisible: Hyperspectral imaging helps detect hidden nematode stress in potato crops

Researchers used hyperspectral imaging to detect early, invisible nematode stress in potato crops. The study highlights the potential and limitations of remote sensing for separating overlapping crop stress signals, paving the way for non-invasive, large-scale monitoring and improved pest management.

SourceNanjing Agricultural University The Academy of Science·JournalPlant Phenomics·TypeExperimental study·DateDec 29, 2025

EdUHK scholar co-authors breakthrough study in Nature Communications on “multi-core” black carbon aerosols and climate impact

Researchers found that up to 21% of black carbon particles contain two or more cores, previously unaccounted for in global climate models, potentially underestimating BC's light absorption by 50%. The study suggests a 19% increase in global average BC absorption, particularly in wildfire-affected regions.

SourceThe Education University of Hong Kong·JournalNature Communications·TypeObservational study·DateDec 29, 2025

How doubting your doubts may increase commitment to goals

A study by Ohio State University professor Patrick Carroll found that inducing meta-cognitive doubt in people who were worried about achieving an identity goal increased their commitment to achieving it. By questioning their own thoughts and doubts, participants became more confident and committed to pursuing their goals.

SourceOhio State University·JournalSelf and Identity·TypeExperimental study·DateDec 29, 2025

New AI-driven tool could help find heart disease drugs faster

Researchers developed CardioKG, an AI-driven tool that integrates imaging data with biological databases to predict gene-disease associations and identify new drug opportunities for heart conditions. The study identified potential treatments for atrial fibrillation and heart failure using existing drugs like methotrexate and gliptins.

A new way to map how cells choose their fate

Researchers develop ddHodge, a geometry-preserving method that accurately reconstructs cell state dynamics. The technique reveals repeating processes like the cell cycle and identifies critical biological moments in embryonic development, tissue regeneration, and cancer progression.

SourceKyushu University·JournalNature Communications·TypeComputational simulation/modeling·DateDec 29, 2025