Articles tagged with Network Structure
A new nationwide Austrian study found that bone fractures are often part of a complex pattern of multiple conditions, underscoring the need for consistent osteoporosis screening at the time of a fracture. Osteoporosis is not systematically documented for many fracture types, highlighting a diagnostic gap, especially in men.
Researchers have developed a federated learning algorithm that solves the long-standing conflict between robustness and efficiency in AI development. The new approach anonymizes data and reduces single-point failure risks while maintaining speed. By remembering past client interactions, servers can protect against malicious input.
Researchers at Rice University develop a new way to model the cochlea's sound processing using graph signal processing, identifying broader functional relationships between sensory cells. The model, called GSP Cochlea, performs better in detecting signals in noise and may hold the key to personalized device settings for hearing aids.
Researchers developed a compact aperture-adjustable antenna that maintains strong performance across the 57–71 GHz 5G band and improves signal strength by up to 62.2% at both lower and upper-band-edge frequencies. The system achieves data transmission speeds of up to 56 Gb/s, supporting future Beyond 5G and 6G applications.
Researchers have shown that topology can guide multiple, information-carrying light signals through chip-based photonic communication systems, making them more powerful and reliable. This breakthrough could enable the creation of networks of chips that communicate using light while taking advantage of topology's robustness.
The QCyber project aims to develop secure quantum-based methods for communication among multiple users, including diplomatic and financial applications. It will be tested in a real fibre-optic network in Stuttgart with up to six nodes and over distances of up to 20 km.
Researchers develop Dual Perigee, a lightweight algorithm that streamlines network connections to enable secure and low-latency data sharing in IoT networks. The study reduces block-related delays by 48.54% compared to standard approaches.
A large-scale study in Ohio found measles vaccination coverage to be below the 93% herd immunity threshold, highlighting the need for sustained public health strategies to maintain elimination. The persistent immunity gaps suggest a need for equity-focused approaches.
A study using China's 'Broadband China' strategy reveals that investing in digital infrastructure is crucial for building corporate resilience. The findings highlight the importance of national broadband initiatives and provide actionable guidance for firms and policymakers to future-proof their organizations.
This book provides a beginner-friendly resource on the impact and evolution of decentralized networks, highlighting their applications in healthcare, supply chains, agriculture, climate monitoring, and education. The authors emphasize sustainability, data security, and ethical tech adoption.
A faulty cybersecurity software update led to a widespread technology outage at US hospitals, resulting in disruptions to patient-facing network services. Internet measurement techniques may be useful for surveillance and study of critical digital health care infrastructure.
The FAU Center of Excellence will focus on developing advanced algorithms, secure hardware solutions, and workforce development to address the strategic gap in electromagnetic spectrum management. This initiative aims to produce innovative technologies to protect and control critical communication channels in contested environments.
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.
Researchers at ISTA discovered novel network structures that boost cooperation throughout a system. These structures have the potential to be applied in biology, particularly in bioreactors, to speed up evolution and cultivate microorganisms. The findings could also improve cooperation in computer science-based systems.
The COVID-19 pandemic has provided researchers with an opportunity to explore the role of social connections in the spread of both disease and ideas. By analyzing data on human interaction networks, mathematician Nicholas Landry aims to understand how ideas are transmitted and how they can be tracked.
The National Institutes of Health has awarded $15.5 million to establish a national network structure to include more nursing home residents in clinical trials. The NEXT STEPs initiative aims to remove barriers to participation and increase the quality of clinical trials conducted in nursing homes.
A new study from the University of Birmingham suggests that epidemic modeling can significantly overestimate infection numbers due to ignoring network structures. The researchers found that heterogeneous networks can lead to smaller epidemic waves and fewer infections, contradicting standard 'random mixing' models.
Researchers at ETH Zurich replicate the structural design of bluebird feathers using a new method. The material exhibits nanonetworks similar to those found in natural feathers and offers potential for technical and sustainable applications, including battery improvements and water filtration.
A new study by Carnegie Mellon University reveals that individuals with strong communication skills and expertise are more likely to be chosen as central members of a network. As a result, teams that choose their own central member perform better than those with randomly assigned members. The study highlights the critical role of commu...
A new analysis method can map individual company-level connections, revealing up to 13 billion supply connections worldwide. This data could reduce tax evasion (€130 billion) and improve climate and human rights compliance by creating a global supply network map.
Researchers built personalized brain network models to simulate brain dynamics and found that people with higher fluid intelligence took more time to solve difficult tasks compared to those with lower FI. This suggests that a synchronized brain is better at solving problems but not necessarily faster.
A deep learning-based framework called EMGSense enables accurate wearable EMG device usage through AI self-training techniques. It achieves average accuracy of 91.9% in gesture recognition and 81.2% in activity recognition, outperforming state-of-the-art approaches.
A new study of rhesus macaques found that older female macaques have fewer friends, reducing their ability to transmit knowledge outside their social circles. This decline in cohesion and connection has significant consequences for network structure, potentially affecting information transmission and cooperation.
Kyoto University researchers have created a map comparing circuit structure with neural activity in mammals, revealing a new mechanism behind visual cortex activities. This discovery sheds light on the hidden connections between neurons and could provide directions for constructing power-efficient deep neural networks.
Researchers at Nara Institute of Science and Technology have developed a method to measure the congruence between contributor networks and library dependencies in open-source software ecosystems. By analyzing over 5.3 million change commits across 107,242 libraries, they found that libraries with high levels of matching contributions a...
Chung-Ang University researchers developed an energy-efficient adaptive directional charging algorithm that adapts to the density of sensor nodes. This approach achieved equal or better charging efficiency than single charging while reducing energy waste. The algorithm employs a mean-shift method and discretized charging strategy decis...
A research team from the Complexity Science Hub Vienna has developed a stress test to identify weaknesses and strengths in healthcare systems. They used data from Austria to show how many resident physicians can drop out before patients don't find a new doctor within reasonable distance, highlighting regional differences in resilience.
A study by Emmanuelle Volle's group at the Paris Brain Institute has identified two semantic memory search processes involved in creativity: clustering and switching. Clustering is linked to divergent thinking, while switching relates to combining distant associations between concepts.
A University of Pennsylvania study found that clinician peer networks significantly reduce health care inequities and disparities. The study led by Professor Damon Centola showed that clinicians who initially exhibited significant bias could change their clinical recommendations to exhibit no bias.
Researchers at IRB Barcelona have identified γTuRC as a centriole stabilizer, revealing its role in maintaining centriole stability and preventing microcephaly. The study's findings suggest that defects in γTuRC may contribute to various human diseases, including adolescent scoliosis and male infertility.
Researchers used fractal analysis to study brain network patterns while listening to a story. The results show that complex thoughts are reflected in high-order dynamic correlations in neural activity patterns.
Researchers studied the role of high-frequency traders in stock markets, finding that their presence increases market volatility and networked structure. The study reveals that high-frequency traders prefer to trade with other types of traders but avoid mutual trading among themselves.
A new study explores how changes in transportation networks impact disease spread, providing insights for future disease intervention strategies. The researchers developed techniques to quantify the effectiveness of different approaches in controlling disease outbreaks by analyzing network structure and hot spot placement.
The new Käte Hamburger International Research Center will study globalization from the dynamics of 'dis:connectivity', considering opposing forces, diversions, and loss of connectivity. Researchers hope to develop a practice-based understanding of globalization combining scholarly approaches with aesthetic points of view.
Researchers from Göttingen and Auckland universities simulated microscopic clusters from the Big Bang, discovering complex networks of structures that mimic today's galaxy distribution. These primordial clumps would have masses of only a few grams and be incredibly small.
Researchers at The University of Tokyo found that slow dynamics of complex networks control the rate of demixing in phase separation. This discovery may lead to advances in devices like rechargeable batteries and catalysts.
A new study finds that loose networks benefit men in uncertain work environments, while tight networks favor women. This difference in networking structure contributes to wage disparities between men and women in high-risk occupations.
Tyrus Berry is developing a semiparametric modeling framework to leverage strengths of parametric and nonparametric methods. The project aims to provide flexible models with quantifiable uncertainty for optimal predictions in limited noisy observations.
The study found that core networks are more adaptive to environmental changes in complex systems. Peripheral networks can introduce new ideas and methods to the entire system when core networks cannot adjust. Interactions between core and peripheral networks are crucial for adaptation.
Cancer cells can form large-scale structures in the laboratory, similar to those seen in vivo, allowing researchers to gain insight into the forces behind this phenomenon. The study suggests that understanding these interactions may hold potential for combating cancer.
Researchers at the University of Bristol have discovered a new class of material, 'non-sticky gels,' that forms when colloidal particles behave as liquid crystals. This breakthrough enables the development of gel formulations with improved mechanical properties and longer shelf-life, addressing a major limitation in many products.
Researchers used a database of 2474 languages to study emotion concepts, revealing wide variation in emotional states but also universal structure constraining these concepts. This study provides evidence for the role of both cultural and biological evolution in shaping human emotions.
Researchers at UNIST have synthesized a triazine network structure from tetracyanoquinodimethane (TCNQ) monomer, demonstrating room-temperature ferromagnetism. The material exhibits stable neutral radicals and unpaired electrons, leading to ferromagnetic ordering.
Researchers studied pancreas duct formation in mice and found that the network resembles road networks, with stronger ducts expanding and weaker ones shrinking. This study may lead to better understanding and treatment of cystic fibrosis and other diseases involving abnormal duct formation.
Researchers at Kyoto University have developed a new class of highly elastic aerogels with adjustable network density, allowing for tailored porosity. These materials exhibit excellent thermal insulation, surpassing conventional materials like polyurethane foam, and can be bent, rolled, twisted, and cut into desired shapes.
A study by Erol Akçay found that certain types of social networks can lead to cooperation's collapse, even in groups where most individuals are cooperators. This happens when individuals make random connections, triggering a decline in the overall cooperative nature of the network.
Physicists at Roma Tre University developed a computer-based simulation to study the interactions of water molecules in supercooled conditions. The study reveals that a specific property of the water network can be used to determine changes in entropy, offering insights into unusual thermodynamic facets of water's activity.
A new study finds that employees who balance cultural fit and network cliqueness are more likely to succeed. The researchers identified four organizational archetypes: doubly embedded actors, disembedded actors, assimilated brokers, and integrated nonconformists.
Researchers from FAU Erlangen-Nüherung have shown that directed chains of particles in gel networks give them their solid properties. This discovery is crucial for understanding material properties of gels used in products such as toothpaste and cosmetics, potentially improving food production processes.
The National Dental Practice-Based Network (PBRN) has been established as a learning health system, leveraging data infrastructure to advance scientific knowledge and improve patient care. The network's collaborative processes have enabled over 25 studies, 100 peer-reviewed papers, and demonstrated practice change since its inception.
Researchers explore gene network that guides limb development in mammals, finding it varies little in early stages and more widely later on. This pattern makes it easier for evolution to tweak rather than remodel limb structure.
Researchers develop algorithm to optimize timing strategy for cascading behavior in social networks, considering individual preferences and network structure. The study reveals the importance of timing in catalyzing cascades, with effective strategies increasing likelihood of widespread adoption.
Researchers at EPFL create two powerful probes for the imaging of cytoskeletal proteins with unprecedented resolution. These probes provide a significant improvement over existing techniques, enabling easier and higher quality imaging of cells with minimal toxicity.
Scientists at AIMR successfully synthesized three-dimensional (3D) nanoporous graphene with preserved two-dimensional Dirac electronic characters. The material exhibits exceptional electron mobility and a massless Dirac cone system, making it an attractive alternative to silicon-based devices.
Researchers propose a mechanism by which life may have gotten its start in the early Earth's chemical environment. A mathematical model reveals that networks of molecules with self-perpetuating capabilities can give rise to complex systems and potentially life.
Researchers at the University of Texas at Austin have devised a new type of network that allows users to authenticate without relying on unique identities. The novel network structure eliminates identity theft, loss of anonymity and misplaced trust by using an addressing system with user-selected pseudonyms.
Researchers at the University of Pennsylvania found that network structure influences behavior, with some networks generating global adoption of minority viewpoints and others prioritizing individual self-interest. Stubborn individuals can even improve collective performance, while greater awareness of neighboring preferences leads to ...
Researchers have developed tools that accurately model the atomic and void structures of amorphous red phosphorus, a network-forming elemental material. These tools will revolutionize the creation of new solar panels, flat-panel displays, optical storage media, and other technological devices.
A Northwestern University research team found that cell metabolisms have evolved to be exceptionally robust, adopting organizational structures that minimize the impact of gene deletions and mutations. This could lead to improved understanding of how to design synthetic networks with similar robustness.
Researchers have developed an algorithm to discover communities and substructures in various networks, including genetic networks and social networks. The tool has been applied to identify community structures in co-expressed genes and social networks, and can also be used for sociological research.