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Search results for “Complex System”

1,000+ results for "Complex System"

Generating vectorial optical fields via surface-wave-excited complex-amplitude metasurfaces

Researchers develop platform generating complex VOFs with spatially tailored wavefront profiles and polarization distributions, showcasing exceptional capabilities in multifunctional beam shaping and complex wavefront engineering. The platform enables independent control over amplitude, phase, and polarization of radiation fields.

Chemists control supramolecules using vapors

Researchers design a vapor-controlled reversible host–guest chemistry system that controls the optical and physical properties of a functional molecular liquid. The FML's optical and physical properties change immediately upon forming a host–guest complex, but can be restored by exposing it to hexane vapors.

SourceInstitute of Transformative Bio-Molecules (ITbM), Nagoya University·JournalChemical Science·TypeExperimental study·DateJul 21, 2026

Toward “vibe medicine”: a self-evolving multi-agent framework for clinical decision support

A new framework, VIBEMed, uses multi-agent collaboration to break complex clinical decisions into specialist roles and employs a three-level self-evolution mechanism to improve performance over time. This approach demonstrates superior performance in complex medical reasoning and treatment planning tasks.

SourceKeAi Communications Co., Ltd.·JournalMeta-Radiology·TypeExperimental study·DateJun 3, 2026

RNA-guided CRISPR system activates gene expression

Researchers have discovered an RNA-guided CRISPR system that can activate genes without cutting DNA, opening up new possibilities for gene regulation and therapeutic strategies. The system uses a strand of RNA as a guide to recruit the cell's transcription machinery, allowing for precise control over gene expression.

SourcePurdue University·JournalNature·DateMar 25, 2026

BCL7A’s arginine anchor links nucleosome recognition to chromatin remodeling and diffuse large B-cell lymphoma tumor suppression

Researchers discovered a key molecular switch connecting nucleosome binding to chromatin remodeling in BCL7A, crucial for its tumor-suppressive function. The study also highlights the arginine anchor's importance as a potential therapeutic target for diffuse large B-cell lymphoma.

SourceHigher Education Press·JournalProtein & Cell·TypeExperimental study·DateFeb 22, 2026

On-chip dual microcombs drive nanomaterial-enhanced fiber sensors for high-selectivity multi-gas mapping

A compact sensor achieves multispecies gas detection with high selectivity and sensitivity, utilizing nanomaterial-functionalized fibers and Kerr soliton dual-microcombs. The system successfully identified 12 distinct components in complex gas mixtures, achieving record-low detection limits.

SourceChinese Society for Optical Engineering·JournalPhotoniX·TypeExperimental study·DateFeb 4, 2026

Taxonomic classification of 80 near-Earth asteroids reveals key insights into their origins, evolution and planetary defense significance

A study of 80 near-Earth asteroids reveals that C/X-complex asteroids are more abundant among smaller NEAs, while X-complex asteroids tend to have sub-kilometer diameters. The research also shows that C/D-complex asteroids dominate NEAs with a Jovian Tisserand parameter T <sub> J </sub> &lt; 3.1, suggesting a potential cometary origin.

SourceBeijing Zhongke Journal Publising Co. Ltd.·JournalEarth and Planetary Physics·DateJan 30, 2026

New AI system revolutionizes image editing with collaborative, competitive agents

Researchers have developed a novel generative AI model called Collaborative Competitive Agents (CCA) that improves complex image editing tasks. The CCA system utilizes multiple Large Language Model-based agents working collaboratively and competitively, resulting in a more robust and accurate editing process.

SourceHigher Education Press·JournalFrontiers of Computer Science·TypeExperimental study·DateJan 23, 2026

Energy learning hyper-heuristic algorithm for cooperative task assignment of heterogeneous UAVs under complex constraints

Researchers developed an energy learning hyper-heuristic algorithm to tackle complex task assignment challenges in heterogeneous UAVs. The algorithm outperforms traditional methods in convergence speed and solution quality, enabling efficient completion of tasks while avoiding obstacles.

SourceKeAi Communications Co., Ltd.·JournalDefence Technology·TypeComputational simulation/modeling·DateJan 16, 2026

Single device enables complex information processing: Memristive oscillators break computational bottlenecks at the edge of chaos

Researchers developed a locally active memristive oscillator using vanadium oxide that exhibits rich dynamic behaviors and exceptional frequency-domain information processing capabilities. The device operates at the edge of chaos, amplifying small fluctuations to generate self-oscillations and producing complex responses.

SourceScience China Press·JournalNational Science Review·TypeExperimental study·DateJan 6, 2026

AI learns to build simple equations for complex systems

A new AI framework uncovers simple, understandable rules governing complex dynamics in nature and technology. The AI generates equations that accurately describe complex systems, revealing hidden variables that govern their behavior. This approach offers scientists a new way to leverage AI for understanding complex systems.

SourceDuke University·Journalnpj Complexity·DateDec 17, 2025

Structure, identification and characterization of the RibD-enolase complex in Francisella

Researchers identified and characterized the RibD-enolase complex in Francisella novicida, revealing key interactions and catalytic activities. The study provides the first structural and biochemical characterization of the complex, establishing a foundation for further investigations into its functional significance.

SourceHigher Education Press·JournalProtein & Cell·TypeExperimental study·DateNov 19, 2025

AI tool offers deep insight into the immune system

Researchers at the University of Tokyo developed an AI-based framework, scHDeepInsight, to rapidly and consistently identify immune cells from gene data. The system uses hierarchical learning and image-based representation to distinguish broad and fine subtypes with improved accuracy and consistency.

SourceUniversity of Tokyo·JournalBriefings in Bioinformatics·TypeExperimental study·DateOct 9, 2025

Cassini proves complex chemistry in Enceladus ocean

Scientists have found new complex organic molecules spewing from Saturn's moon Enceladus, confirming that complex chemical reactions are taking place within its underground ocean. The discovery strengthens the case for a dedicated European Space Agency (ESA) mission to orbit and land on Enceladus.

SourceEuropean Space Agency·JournalNature Astronomy·TypeObservational study·DateOct 1, 2025

Novel biological signal-processing framework precisely decodes complex cellular language

A team of researchers developed a scalable biological signal-processing framework that uses synthetic operational amplifiers to convert mixed cellular inputs into clean, orthogonal outputs. This enables precise, predictable control of complex biological systems, with applications in biomanufacturing and signal decomposition.

SourceShenzhen Institute of Advanced Technology, Chinese Academy of Sciences·JournalNature Communications·TypeExperimental study·DateSep 1, 2025

Common metal, unusual power

A novel manganese(I) complex has been developed, combining a record-breaking excited-state lifetime with simple synthesis, offering a powerful and sustainable alternative to noble metal complexes. The complex exhibits strong absorption and overcomes the challenges of tedious synthesis and short lifetimes of excited states.

SourceJohannes Gutenberg Universitaet Mainz·JournalNature Communications·DateAug 27, 2025

Key mechanism for Alzheimer’s disease discovered

Researchers at Heidelberg University have discovered a key mechanism for Alzheimer's disease, identifying a neurotoxic protein-protein complex responsible for nerve cell death and cognitive decline. A novel pharmacological inhibitor, FP802, has shown promising results in slowing disease progression.

SourceHeidelberg University·JournalMolecular Psychiatry·DateAug 26, 2025

KAIST develops robots that react to danger like humans​

Researchers at KAIST developed a new artificial sensory nervous system that enables robots to efficiently respond to external stimuli like humans. The system mimics the functions of a living organism's sensory nervous system, allowing robots to selectively react to important or dangerous signals while ignoring safe or familiar ones.

SourceThe Korea Advanced Institute of Science and Technology (KAIST)·JournalNature Communications·TypeMeta-analysis·DateJul 16, 2025

Hypergraphs are worth the hype

Hypergraph research aims to improve network resilience by analyzing multi-way relationships, enabling more accurate representations of complex systems. By modeling projects within Texas A&M University as hypergraphs, researchers can depict interconnectedness and how individual work affects the entire system.

The water management of ancient Arles

Researchers decoded the complex history of ancient Arles' aqueduct system by analyzing limescale deposits and building materials. The study confirmed that the basin functioned as a header basin upstream of an aqueduct arcade bridge, and revealed the role of large lead pipes in supplying water to different parts of the city.

SourceJohannes Gutenberg Universitaet Mainz·JournalGeoarchaeology·TypeExperimental study·DateJul 1, 2025

HKUST chemists innovate in the synthesis of chiral bridged polycyclic compounds

A research team from HKUST has developed a catalytic enantioselective type II [5 + 2] cycloaddition method to synthesize complex chiral bridged polycyclic structures, which is a challenging task in organic chemistry. The novel approach utilizes 3-oxidopyrylium ylides and chiral phosphoric acids to create the desired complex shapes.

SourceHong Kong University of Science and Technology·JournalNature Synthesis·TypeExperimental study·DateJun 4, 2025

Advancements in nuclear reactor control: New intelligent control system has stronger adaptive capability

Researchers developed a whole system uncertainty model and an Intelligent optimized power control system for space nuclear reactors, achieving faster response, higher control accuracy, and stronger adaptability. The study clarifies the uncertainty coupling mechanism of neutronics parameters, thermal hydraulic parameters, and control sy...

SourceNuclear Science and Techniques·JournalNuclear Science and Techniques·TypeComputational simulation/modeling·DateMay 29, 2025

SCAI Announces Recipient of the 2025–26 SCAI Women in Innovations (WIN) Complex and High-Risk Coronary Intervention (CHIP) Fellowship

Dr. Samantha Espinosa has been selected for the WIN-CHIP Fellowship to advance her training in complex procedures and contribute to women's representation in interventional cardiology. The fellowship aims to provide comprehensive technical training while addressing systemic barriers.