Science & Technology News Review
Today’s Risolnet Knowledge Engine examines five developments that demonstrate how advances in measurement, computation and experimental engineering are expanding the boundaries of scientific investigation.
Astronomers have reconstructed the approximate shape and temperature of a cometary nucleus using archival infrared observations. In cardiovascular medicine, researchers have presented preliminary evidence that artificial intelligence can reduce the time required to interpret echocardiograms while maintaining performance comparable to conventional preliminary reporting.
Engineers have demonstrated a gallium oxide semiconductor module capable of megawatt-level pulsed switching. Evolutionary biologists have used machine learning to investigate the emergence and disappearance of collective behaviour across thousands of fish species.
Finally, cancer researchers have identified a mechanism through which inhibiting a lipid-metabolism enzyme disrupts cellular recycling and causes cancer-cell death in laboratory experiments.
These stories span different stages of scientific maturity. Some describe peer-reviewed experimental findings, while others concern preliminary conference results or newly communicated analyses of observations collected years earlier. Their significance must therefore be evaluated in relation to the evidence actually available.
01
Subaru Telescope Observations Reveal the Shape and Temperature of Comet Encke
Mid-infrared measurements provide an independent estimate of the dimensions and thermal properties of one of the Solar System’s best-known periodic comets.
Comets preserve material originating from the early Solar System. Their nuclei contain mixtures of volatile substances, dust and other materials that have undergone billions of years of physical and chemical evolution.
Despite their scientific importance, cometary nuclei are difficult to observe directly. When a comet approaches the Sun, solar heating releases gas and dust, creating a surrounding coma that can obscure the small solid body at its centre.
Researchers using observations from the Subaru Telescope have now obtained new information about the nucleus of Comet 2P/Encke, a short-period comet that completes an orbit around the Sun approximately every 3.3 years.
The results were communicated by Subaru Telescope on November 9, 2026, and published in The Astronomical Journal.
The investigation used mid-infrared observations collected in November 2003 with the Cooled Mid-Infrared Camera and Spectrometer, known as COMICS, on Subaru’s 8.2-metre telescope.
Mid-infrared observations are particularly useful for studying the thermal emission of cometary nuclei. Rather than relying primarily on reflected sunlight, astronomers can investigate radiation emitted by the nucleus itself.
The researchers analysed changes in infrared brightness as the nucleus rotated.
Their results indicate that Encke’s nucleus is elongated, with an estimated major axis of approximately seven kilometres and a minor axis of approximately three kilometres.
This interpretation is consistent with earlier observations suggesting that the nucleus is not spherical.
By examining thermal emission at different wavelengths, the researchers also estimated a surface temperature of 328 ± 7 kelvin, corresponding to approximately 55 degrees Celsius, under the conditions prevailing during the observations.
The comet was approximately 1.1 astronomical units from the Sun at the time.
Understanding the nucleus’s shape and temperature is important because cometary activity can alter an object’s orbit.
As volatile material escapes from the surface, the resulting jets exert small forces on the nucleus. Over repeated orbital passages, these non-gravitational forces can produce measurable changes in orbital motion.
The new measurements provide useful constraints for future models of Encke’s physical evolution, although they do not independently determine the exact mechanism responsible for its orbital changes.
The study also demonstrates the continuing scientific value of archival astronomical observations. Data acquired more than two decades ago can yield new results when reanalysed with improved methods and a better understanding of the observed object.
Analysis
Evidence: Mid-infrared observations indicate an elongated nucleus measuring approximately seven by three kilometres and a surface temperature of 328 ± 7 kelvin.
Interpretation: Thermal measurements can constrain the physical properties of cometary nuclei and contribute to models of activity-driven orbital evolution.
Limitations: The estimated dimensions depend on interpreting the observed brightness variations. The measurements do not directly establish the complete three-dimensional shape or the precise forces responsible for orbital changes.
Publication context: Peer-reviewed research in The Astronomical Journal, communicated November 9, 2026. The underlying observations were collected in November 2003.
02
AI-Assisted Echocardiogram Reporting Reduces Cardiologists’ Interpretation Time
A randomized evaluation presented at the American Heart Association’s Scientific Sessions suggests that automated preliminary reports could improve workflow efficiency without removing physician oversight.
Echocardiography is one of the most widely used diagnostic imaging techniques in cardiovascular medicine.
By using ultrasound to visualize cardiac structures and movement, clinicians can assess ventricular function, heart valves and other important aspects of cardiovascular physiology.
The interpretation process requires substantial specialist time. Cardiologists must review images, assess measurements and prepare reports that integrate technical findings with clinical judgement.
Researchers have investigated whether artificial intelligence can assist this process by preparing preliminary echocardiogram interpretations for subsequent physician review.
Results presented on November 9, 2026, at the American Heart Association’s Scientific Sessions describe a randomized evaluation involving 1,200 previously acquired echocardiograms.
The examinations had been performed during routine clinical care across 21 medical centres in Northern California in March 2025.
Preliminary interpretations were prepared by an AI system, sonographers and cardiologists.
These preliminary reports were randomly assigned to reviewing cardiologists, who finalized them without knowing whether the initial interpretation had been generated by artificial intelligence or a human professional.
The researchers assessed how frequently the reviewing cardiologists made substantial changes, how long finalization required and how closely the resulting reports agreed with previous clinical records.
Substantial changes were made to 50.6 percent of AI-generated preliminary interpretations, compared with 49.7 percent of reports initially prepared by human professionals.
Under the study’s predefined evaluation criteria, the AI-assisted approach met the requirements for noninferiority.
The most notable difference concerned interpretation time.
Cardiologists required an average of 4.6 minutes to review and finalize an AI-generated preliminary report, compared with 8.5 minutes when preparing interpretations without AI assistance.
This represents an approximate reduction of 46 percent in the measured reporting time.
The researchers also reported that AI-assisted interpretations showed greater consistency with historical reports in the medical record.
These findings suggest that automated preliminary reporting could improve the efficiency of echocardiography services.
However, the study did not demonstrate improved patient outcomes, faster diagnosis of specific diseases or reduced clinical complications.
The cardiologist remained responsible for reviewing the images, correcting the preliminary interpretation and approving the final report.
The results therefore support artificial intelligence as a potential clinical assistance tool rather than a replacement for professional interpretation.
Analysis
Evidence: The randomized evaluation involved 1,200 echocardiograms. AI-assisted preliminary reporting reduced average interpretation time from 8.5 to 4.6 minutes while meeting the study’s noninferiority criteria.
Interpretation: Automated preliminary reports may reduce repetitive reporting work and allow cardiologists to devote more time to complex interpretation and patient care.
Limitations: The study evaluated reporting performance rather than patient outcomes. Participants were aware of their involvement in the research, and larger real-world evaluations are needed.
Publication context: Preliminary late-breaking research presented at the American Heart Association Scientific Sessions on November 9, 2026. The available communication does not establish that these findings have undergone full journal peer review.
03
Gallium Oxide Semiconductor Module Demonstrates Megawatt-Level Pulsed Switching
Researchers combine semiconductor design, advanced packaging and improved thermal management to overcome important limitations of an emerging high-voltage material.
Power semiconductors are essential components of modern electrical infrastructure.
They regulate the flow of electrical energy in systems ranging from industrial converters and renewable-energy installations to electric vehicles and high-voltage equipment.
Silicon has dominated this field for decades, but newer materials offer opportunities to improve performance under demanding electrical conditions.
Gallium oxide is particularly interesting because it belongs to the family of ultra-wide-bandgap semiconductors.
Its electronic properties allow it to withstand very high electric fields, making it a promising candidate for future high-voltage switching devices.
However, gallium oxide also presents significant engineering difficulties.
In particular, its relatively poor thermal conductivity complicates heat removal during high-power operation.
Researchers at the University of Hong Kong and collaborating institutions have developed a multi-chip gallium oxide power module designed to address these limitations.
Their findings were reported on November 9, 2026, and published in Nature Communications.
The engineering approach combines semiconductor device design with packaging architecture rather than treating the two elements as separate problems.
The researchers introduced a junction-side cooling configuration that places the principal heat-generating region close to the thermal pathway.
They also incorporated a high-permittivity insulating layer designed to redistribute electric fields around the semiconductor devices.
These changes help manage electrical stress, mechanical constraints and heat dissipation.
In pulsed operation, a single packaged device conducted 234 amperes at 1,000 volts.
The researchers subsequently integrated six devices into a larger module.
The completed assembly demonstrated repetitive switching at 1,000 volts and 1,000 amperes, with a switching frequency of one kilohertz.
These operating conditions correspond to a peak switched power level of approximately one megawatt.
This result represents an important increase in demonstrated power-handling capability for ultra-wide-bandgap semiconductor technology.
Potential applications include pulsed-power equipment, advanced medical systems, particle accelerators, high-voltage protection and experimental fusion-energy infrastructure.
The distinction between peak pulsed power and continuous power delivery is essential.
Demonstrating megawatt-level switching during short pulses does not mean that the module can continuously deliver one megawatt under ordinary operating conditions.
Nevertheless, the work shows how coordinated improvements in materials, device architecture and packaging can extend the practical capabilities of emerging semiconductor technologies.
Analysis
Evidence: A six-device gallium oxide module demonstrated repetitive switching at 1,000 volts and 1,000 amperes, corresponding to approximately one megawatt of peak switched power.
Interpretation: Integrated device and packaging design can help overcome thermal and electrical constraints that have limited the practical development of gallium oxide power electronics.
Limitations: The demonstration concerns pulsed switching. Continuous operation, long-term reliability, manufacturing economics and deployment in commercial power systems require further evaluation.
Publication context: Peer-reviewed research in Nature Communications, communicated by the University of Hong Kong on November 9, 2026.
04
Machine Learning Reveals Repeated Evolution and Loss of Schooling Behaviour in Fish
A large comparative study uses artificial intelligence to investigate how collective movement has emerged and disappeared across hundreds of millions of years of evolutionary history.
Collective behaviour is widespread in nature.
Fish swim in schools, birds form coordinated flocks and many other animals organize their movements through interactions with neighbouring individuals.
These behaviours can provide advantages such as protection from predators, improved access to information and more efficient movement.
However, studying their evolutionary history is difficult because behaviour is not preserved directly in the fossil record.
Researchers must instead infer evolutionary patterns from observations of living species and their relationships across the tree of life.
A research team led by scientists at Cornell University has applied machine learning to investigate the evolution of schooling behaviour across thousands of fish species.
The study was published in the Proceedings of the National Academy of Sciences on November 6, 2026, and communicated by Cornell University on November 9.
The researchers combined several computational approaches to analyse written descriptions of fish behaviour and images collected from scientific and citizen-science resources.
A text-transformer model helped classify behavioural information contained in species descriptions.
Additional machine-learning methods analysed photographs and videos to estimate fish orientation and identify coordinated movement.
The resulting dataset included information on schooling behaviour for 2,839 species.
This represents a substantial expansion over earlier comparative studies that typically examined much smaller numbers of species.
By combining the behavioural classifications with evolutionary relationships, the researchers reconstructed changes in schooling behaviour over approximately 350 million years.
Their analysis suggested that schooling behaviour evolved independently approximately 60 times.
More unexpectedly, the behaviour appears to have been lost approximately 320 times across different evolutionary lineages.
These findings challenge the assumption that once collective movement evolves, it is generally retained by descendant species.
The researchers also investigated ecological factors associated with schooling.
Species occupying lower positions in food webs were more likely to exhibit collective movement, consistent with the hypothesis that schooling can provide protection against predators.
However, this relationship was not universal.
Some species facing substantial predation pressure remain solitary, while certain predators also move in coordinated groups.
The study further identified associations between schooling behaviour and evolutionary diversification.
The researchers suggest that collective movement may offer advantages under some ecological conditions while imposing costs under others.
Potential disadvantages include competition for resources, the transmission of misleading behavioural signals and increased exposure to disease.
These explanations remain hypotheses requiring additional investigation.
Beyond the findings concerning fish, the research demonstrates how machine learning can make large-scale comparative studies of animal behaviour more practical.
Analysis
Evidence: Machine-learning analysis classified schooling behaviour across 2,839 fish species. Evolutionary reconstruction suggested approximately 60 independent gains and 320 losses of collective movement.
Interpretation: Schooling appears to be an evolutionarily flexible behaviour whose advantages depend on ecological conditions rather than a permanently beneficial adaptation.
Limitations: Historical gains and losses are inferred from contemporary observations and evolutionary models. They are not directly observed events, and the estimated counts depend on classification and reconstruction methods.
Publication context: Peer-reviewed research published November 6, 2026, in the Proceedings of the National Academy of Sciences. Institutional communication dated November 9, 2026.
05
Inhibiting a Lipid-Metabolism Enzyme Disrupts Cancer-Cell Recycling in Laboratory Experiments
Researchers identify a mechanism through which an existing medicine interferes with lysosomal function, suggesting a possible direction for future oncology research.
Cancer cells depend on complex metabolic systems to sustain growth and survive under stressful conditions.
One important component of cellular metabolism is the lysosome, an organelle responsible for degrading and recycling many biological materials.
Lysosomes break down damaged cellular components and other substances, allowing cells to recover useful molecular building blocks.
Rapidly growing cancer cells can be particularly dependent on these recycling processes.
Researchers at Virginia Commonwealth University’s Massey Comprehensive Cancer Center have investigated how disrupting a specific lipid-metabolism pathway affects cancer-cell survival.
Their findings were reported on November 9, 2026, following publication in the peer-reviewed journal Cell Death Discovery.
The study focused on glucosylceramide synthase, an enzyme involved in the production of glucosylceramide and related complex glycosphingolipids.
These molecules contribute to cellular membrane organization and other biological functions.
The researchers used eliglustat, a medicine already approved in the United States for certain patients with Gaucher disease type 1.
Eliglustat inhibits glucosylceramide synthase and reduces the production of glucosylceramide.
The team examined the effects of this inhibition in laboratory models involving colon, ovarian and cervical cancer cell lines.
Treatment with eliglustat induced cell death in several of the tested cancer-cell populations.
Importantly, the researchers found that this effect did not depend on the accumulation of ceramide, a lipid previously associated with mechanisms promoting cell death.
Instead, the experiments pointed toward disruption of lysosomal function.
After glucosylceramide synthase inhibition, the cancer cells developed enlarged lysosomal structures that were unable to process cellular material normally.
The resulting impairment of cellular recycling contributed to cancer-cell death.
These findings suggest that glucosylceramide and related glycosphingolipids may play an important role in maintaining lysosomal function and supporting cancer-cell survival.
The researchers are investigating whether lipid-related biomarkers could help identify tumour types that might be particularly sensitive to this mechanism.
Because eliglustat is already used clinically for another condition, the findings also raise questions about possible therapeutic repurposing.
However, regulatory approval for Gaucher disease does not establish safety or effectiveness for cancer treatment.
Laboratory cell-line results cannot determine whether a medicine will produce meaningful antitumour effects in patients.
Further research must evaluate which cancer types may be susceptible, whether effective drug concentrations can be achieved safely and how the treatment interacts with other therapeutic approaches.
Analysis
Evidence: Inhibition of glucosylceramide synthase using eliglustat disrupted lysosomal function and induced cell death in several laboratory cancer-cell lines.
Interpretation: Glucosylceramide metabolism may support cancer-cell survival by maintaining lysosomal recycling, providing a potential target for future therapeutic investigation.
Limitations: The reported findings concern laboratory experiments. They do not demonstrate clinical antitumour efficacy, establish appropriate cancer-treatment dosing or justify using eliglustat outside its approved indications.
Publication context: Peer-reviewed research in Cell Death Discovery, communicated by Virginia Commonwealth University on November 9, 2026.
The RKE Signal
The central theme of today’s research is the growing ability to extract meaningful information from complex systems and translate that understanding into more precise scientific and technological methods.
The study of Comet Encke demonstrates how careful analysis can transform archival observations into new physical knowledge.
The observations were collected in 2003, but their interpretation provides useful constraints on the shape and temperature of a cometary nucleus. This is a reminder that scientific progress does not always require new instruments or new observations. Improved analysis of existing data can also produce valuable results.
In cardiovascular medicine, artificial intelligence offers a different form of analytical assistance.
The echocardiography study suggests that automated preliminary reporting could substantially reduce the time required for specialist interpretation. However, its most important feature may be the preservation of human oversight.
The AI system prepares information, while the cardiologist evaluates its accuracy and remains responsible for the final clinical interpretation.
The semiconductor research illustrates the importance of considering entire engineering systems rather than individual components.
Gallium oxide possesses attractive electronic properties, but its thermal limitations have complicated practical implementation. By combining semiconductor architecture with advanced packaging and cooling, researchers have demonstrated performance that would have been difficult to achieve through material properties alone.
In evolutionary biology, machine learning is helping researchers investigate questions that were previously difficult to address at large scales.
The fish-schooling study suggests that collective behaviour has repeatedly appeared and disappeared across evolutionary history. Its findings challenge simple assumptions about the permanent advantages of living and moving in groups.
The research also demonstrates how computational analysis of text, images and evolutionary relationships can make behaviour a measurable characteristic across thousands of species.
Finally, the cancer-cell study reveals a connection between lipid metabolism and the machinery responsible for cellular recycling.
By disrupting glucosylceramide production, researchers impaired lysosomal function and induced cell death in experimental cancer models.
Although the medicine used in these experiments already has an approved medical indication, its potential use in oncology remains an open research question rather than an established treatment.
Across these five investigations, the distinction between scientific evidence and future application remains essential.
A laboratory demonstration does not automatically become an industrial technology. A preliminary clinical study does not establish improved patient outcomes. A biological mechanism identified in cultured cells does not immediately translate into a treatment.
Nevertheless, each investigation contributes to a more detailed understanding of its respective system, creating opportunities for further experimentation and development.
The RKE Signal for November 10, 2026: the most valuable scientific advances are not always those that promise immediate transformation, but those that make complex systems more measurable, understandable and ultimately more controllable.