Articles tagged with Network Science
Researchers developed models to study EV's influence on human cooperation, revealing regional variability promotes cooperation in resource-poor areas. The findings provide new perspectives for archeological inquiry and insights into modern society's cooperative behavior.
The Research Organization of Information and Systems (ROIS) has upgraded the Science Information Network SINET6 to 400 Gbps, supporting international collaborations in high-energy physics research, medicine, and genetics. The upgrade enables faster and more reliable data transfer for researchers worldwide.
Quantum Base, a Lancaster University spin-out, has successfully floated on the London Stock Exchange with a £4.8 million fundraising. The company aims to harness quantum technology to address real-world challenges through its patented Q-ID solution for anti-counterfeiting.
The ECOMOME project optimizes energy consumption in mobile networks, reducing emissions and operational costs. By combining experimental research with forward-looking projections, the project achieves results that will remain relevant for upcoming generations of mobile networks.
The MultiX project aims to revolutionize 6G communication networks by integrating multisensory perception, allowing them to interact with the environment in real-time. This innovation has potential applications in healthcare, such as recognizing falls in elderly people or monitoring vital signs at home.
A literature review reveals that our intuitions about success are often misleading, with failure being a predictor of future success and early successes reinforcing inequalities. The study also shows that persuading 'bridge' individuals in social networks is more effective at driving mass adoption than celebrity endorsements.
Thatchaphol Saranurak and Andrew Owens have been awarded Sloan Research Fellowships for their innovative work on graph networks and machine perception systems. Their research aims to create more efficient algorithms for computing dynamic systems, such as social networks and traffic patterns.
Researchers introduce 'fitness centrality,' a faster method to identify crucial elements in any network, with practical applications in supply chains, ecological conservation, and cybersecurity. The approach streamlines analysis, making it practical for vast networks.
Neuromorphic computing is poised to emerge into full-scale commercial use, driven by the need for energy-efficient solutions. The review article proposes strategies for building large-scale neuromorphic systems that can tackle complex real-world challenges.
The Aligning Science Across Parkinson’s initiative is launching a new funding opportunity to support collaborative research teams focused on understanding Parkinson’s disease heterogeneity across six focus areas. The grants will provide up to $3 million per year over three years.
The American Physical Society's joint March Meeting and April Meeting will convene more than 14,000 physicists from around the world to present new research in various fields. The conference will be held in person in Anaheim, California and online everywhere March 16-21.
A study investigated gene-chemical interactions on bacterial growth, revealing varying impacts of chemicals depending on sugar presence. Machine learning analysis found a countervailing effect between genetic and environmental changes, suggesting a strategy for bacterial survival in nature.
Researchers at Tokyo University of Science have developed a new method called black-box forgetting, which enables selective removal of unnecessary information from large pre-trained AI models. This approach enhances model efficiency and improves privacy by reducing computational resources and information leakage.
The DFG is establishing 12 new Research Training Groups to support early-career researchers, with a focus on topics such as proton therapy, mobility rights, and climate data. The funding will total approximately €82 million over five years, with some groups starting six months later than usual due to budgetary constraints.
A new training algorithm called ternarized gradient BNN (TGBNN) enables learning capabilities for binarized neural networks (BNNs) on IoT edge devices. The proposed MRAM-based CiM architecture achieves faster convergence and matching accuracy with regular BNNs.
The publication of the Malleus maleficarum in 1487 played a crucial role in spreading persecution across Europe, with each new edition leading to an increase in witch trials. Social influence, particularly from neighboring cities, also contributed to the spread of witch-hunting practices.
A new method for optimizing neural network pruning on resource-constrained platforms, balancing accuracy, latency, and memory usage. The approach uses multi-objective evolutionary algorithms to find multiple Pareto-optimal solutions, offering flexibility for different user requirements.
Researchers found that brief, temporary changes to bacterial gene regulation imprint lasting changes within the network that are passed on to offspring. This discovery challenges long-held assumptions of how simple organisms transmit and inherit physical traits.
Researchers found that children's immune systems attacked their own tissues after latching onto a coronavirus protein resembling one found in multiple organs. Early intervention was crucial to prevent death in these cases, and the study has implications for understanding other autoimmune diseases.
A new method to measure continuous light spectrum improves thermal imaging accuracy without direct contact. It eliminates wavelength and temperature dependence, revealing higher surface temperatures of photothermal catalysts than previous methods.
A recent study published in Nature Medicine analyzed millions of patient records to measure healthcare system resilience and adaptability during the COVID-19 pandemic. The research found that US healthcare systems exhibit moderate resilience but low adaptability, particularly for Black and Hispanic populations.
Researchers are working on improving the quality of high frequency wireless networks. Dr. Murat Yuksel is hoping to realize the dream of unimpeded communication at distances near and far. He is developing a smart wireless network system using machine learning, which can fine-tune the networks' efficacy.
A recent study found that social networks with protected minority opinions foster innovation, economic prosperity, and collective intelligence. Decentralizing social networks by unfollowing influential individuals can promote sociodiversity.
Researchers have introduced iso-propagation vortices, offering a solution to increasing information processing capacity while overcoming traditional vortex beam limitations. IPVs exhibit OAM-independent propagation, allowing for consistent beam size during free-space propagation.
Researchers developed a new approach to identify influential individuals in social networks, enabling targeted information spreading. This method leverages the 'friendship paradox' and was shown to be more effective than random targeting, with potential far-reaching policy implications for public health interventions.
Researchers unveil a theoretical framework that could revolutionize network systems, addressing the limitations of traditional unimorphic networks. The polymorphic network environment (PNE) enables the creation of a versatile 'network of networks' capable of accommodating diverse service requirements.
Scientists have introduced a groundbreaking form of quantum entanglement, enabling double resolution in two-photon interference. This innovation uses a frequency beam splitter to alter individual photons' frequencies with high success rates.
A 23-year 'megadrought' in the western US is being studied by WVU researcher Steve Kannenberg to understand its effects on natural ecosystems, agricultural systems and human water resources. The research aims to identify areas with depleted groundwater and soil moisture, as well as assess carbon capture and storage in dryland plants.
Researchers visualize chiral interface state at atomic scale for the first time, allowing on-demand creation of conducting channels. The technique has promise for building tunable networks of electron channels and advancing quantum computing.
Researchers suggest using DOM to assess freshwater chemodiversity and monitor pollution effects on ecosystem health. High-resolution mass spectrometry can help pinpoint pollution sources, including those in drinking water.
The Princeton Plasma Physics Laboratory has opened a new Quantum Diamond Lab to study plasma processes for creating diamond material with unique properties. Scientists aim to harness this material for quantum computing, secure communication, and precise measurements, enabling breakthroughs in fields like medicine and energy.
Researchers used data science techniques to analyze the atomic structure of amorphous germanium materials, revealing that smaller atomic rings are associated with lower thermal conductivity and larger rings with higher conductivity. This discovery could lead to the development of new metastable phase-integrated thermal control materials.
Researchers have identified over 700 plant genera named for women, representing a significant increase in the number of genera linked to women. The dataset provides valuable information on the contributions of women to botany and can be used by other researchers to build upon this work.
Bielefeld University's four Consolidator Grant recipients will explore health effects of passive commuting, social environment influence on health and mortality, and universe phase transitions. The grants total more than 8 million euros, with projects starting in 2024.
Researchers at Rice University are developing a machine learning framework to improve decision-making processes in military communication networks. The goal is to enable rapid, adaptive action across a broad range of scenarios by combining local data in the most effective manner.
The study analyzed over 1.2 million criminal incidents, revealing that specialists tend to operate within a confined geographic area and collaborate with local networks. The method can help law enforcement agencies anticipate criminal developments and tailor measures for prevention, policing, and rehabilitation.
Researchers found that green spaces alleviate extreme heat's negative impacts on human health, while densely packed buildings increase mortality risk. Urban design strategies incorporating different types of greenery are recommended to mitigate heatwave-associated mortality.
A new modeling method powered by interconnected processors removed human bias from the debate over dinosaurs' demise. The study suggests that the outpouring of climate-altering gases from the Deccan Traps alone could have been sufficient to trigger global extinction, consistent with volcanic eruptions contributing to the mass extinction.
Researchers aim to access ocean waters hidden beneath ice shelves, where critical information about climate change is stored. An intelligent mothership and coordinated marine robots will communicate data from under-ice cavities, optimizing sampling and configuration.
A new approach for coupling different light modes enables unprecedented data transfer rates in an MDM system. By using a gradient-index metamaterial waveguide, researchers achieved a high coupling coefficient and created a 16-channel MDM communication system with a data transfer rate of 2.162 Tbit/s.
Researchers at the University of Sydney and Max Planck Institute have developed new methods to describe synchronicity in complex systems. Their findings suggest that convergent walks on a network structure can lead to poor quality synchronisation.
A University of Queensland-led survey found non-native English speakers need up to twice as much time to conduct scientific activities, with papers rejected two-and-a-half times more. The study highlights the challenges faced by non-native English speakers in academia, which can lead to stagnated careers and a loss of potential contrib...
Fiber sensing scientists from Shenzhen University have developed an encrypted fiber optic tag that can be used for all-optical labeling and recognition of optical transmission channels. The team proposed a method using fiber Bragg grating arrays prepared by femtosecond laser direct writing to flexibly store different coding sequences.
Researchers from West Virginia University have made a groundbreaking discovery by detecting evidence of low-frequency gravitational waves, which can only be perceived with a detector much larger than the Earth. The signal was detected using pulsar timing arrays and has significant implications for understanding spacetime dynamics.
NetSci 2023 brings together top researchers in physics, computer science, biology, and social sciences to exchange ideas on network structures. Keynote speakers discuss the application of superconducting elements and the dynamic processes governing large networks.
A collaborative team led by City University of Hong Kong researchers invented a low-temperature vapour-phase growth method to produce large-scale synthesis of semiconducting tellurium nanomesh. The new method enables the scalability and cost-effectiveness of nanomesh for next-generation electronics.
A new working group of the Global Research Council aims to map existing funding mechanisms for global research collaboration. The group will assess opportunities for multilateral engagement and figure out how to implement them, despite legal barriers that prevent public resources from crossing national borders.
A new modeling approach using deep neural networks improves channel estimation performance and increases the precision of underwater transmissions. The model facilitates the detection of sparse interference and enhances the denoising of ocean transmissions.
A new algorithm was developed to help guide unmanned aerial vehicles (UAVs) in dense city environments by finding near-optimal positions for the UAVs with guaranteed line-of-sight links. The algorithm achieved over 95% of the performance of exhaustive 3D search schemes, making it a potentially viable option for this technology.
A new study by the Complexity Science Hub recommends aligning quotas with an inclusive culture to improve women's representation in science. The research finds that even extreme quotas are not sufficient to increase minorities' visibility in top ranks, highlighting the need for behavioral interventions and regulation to overcome biases.
Researchers at UC San Diego have developed a new technique to increase 5G mmWave network accessibility. The 'mmFlexible' system leverages antenna arrays to divide frequency bands into multiple usable beams, reducing lag by 60-150%. This innovation addresses the challenge of efficient data distribution in millimeter wave networks.
Researchers have created a 19-core optical fiber with a standard cladding diameter, achieving a record transmission capacity of 1.7 petabits per second over 63.5 km. This design uses randomly coupled multi-core fibers and MIMO digital signal processing to minimize power consumption.
The University of Southern California has launched a $1 billion-plus initiative for computing research and education, focusing on AI, machine learning, data science, and emerging technologies. The initiative aims to integrate digital literacy across disciplines and prepare students for a more tech-intensive world.
Bar-Ilan University researchers found that large and heterogeneous complex networks exhibit enhanced stability due to non-random patterns of interaction, contradicting Sir Robert May's original prediction. This discovery offers new guidelines for designing stable infrastructure networks and protecting fragile ecosystems.
Researchers propose a 'state space' approach to reframe farming planning questions, enabling analytics and machine learning to explore optimal crop combinations and simulate different scenarios. This framework allows farmers to design diverse agricultural landscapes based on natural ecosystems, increasing crop yield and sustainability.
Researchers developed view interpolation networks to reproduce material appearances of specular objects using images from intermediate viewpoints of four cameras on a sphere. The networks outperformed traditional methods, but future studies are needed to address complex materials and increased degrees of freedom.
Researchers developed a novel energy-saving approach using the seagull optimization algorithm to address both power usage and network traffic in edge-cloud data centers. The study showed a 5.5% decrease in energy consumption, 70% reduction in network traffic and 80% cutback in power consumption of network components.
A team of researchers has created the first-ever insect whole-brain connectome for a Drosophila larva, mapping 3016 neurons and 548,000 synapses. The detailed analysis reveals extensive multisensory integration and cross-hemisphere interaction, with some neural structures resembling those found in machine learning networks.
A new study by Dartmouth College researchers finds that sanctions on wealth managers would be more effective than asset seizure in crippling Russia's oligarchs. The research uses network science to map the connections between wealthy individuals and their financial experts, revealing a vulnerable network that can be disrupted with targ...
A survey of 217 rural residents found that while broadband connections are available, many lack Internet skills, leading to limited digital productivity and inclusion. The study highlights the need for in-depth training and education to fuel rural economies and improve resident well-being.