Articles tagged with Network Modeling
Researchers describe a new method to uncover the hierarchical organization of complex networks, explaining previously unknown patterns such as node connectivity and triangle formations. The approach achieves up to 80% accuracy in predicting missing connections across disparate fields like biology, terrorism, and ecology.
Researchers used computer simulation models to examine the impact of various intervention strategies on a pandemic influenza outbreak in a population similar to Chicago. The study found that providing preemptive household antiviral treatments and minimizing contact could play a major role in reducing the spread of illness.
Dr. Wenjing Lou's comprehensive study will explore the efficiency, throughput, and reliability of multihop wireless networks, enabling the development of more effective wireless technology. The award also supports her efforts to strengthen WPI's academic program in wireless networking.
Researchers developed a predictive model using Bayesian network modeling to estimate sickle cell disease severity and predict mortality risk. The model identified laboratory markers and clinical events contributing to the risk of death, providing a personalized disease severity score for therapeutic decisions.
Researchers developed network models that detect localized outbreaks better and are more resilient to unexpected shifts in healthcare utilization. Retinal gene therapy also improves visual cortex responses to light stimulation, even after prolonged blindness, in congenitally blind patients.
A new study by mathematical biologists at The University of Texas at Austin recommends vaccine distribution strategies for potential shortages. The best approach depends on the contagiousness of the flu strain, with school children and high-risk groups being prioritized accordingly.
The University of Pennsylvania researchers found that some of the simplest social networks function poorly and that information beyond a local view can hinder complicated networks' ability to accomplish tasks. In contrast, engineered or hierarchical structures proved easier for subjects to solve problems.
The article highlights the importance of adaptive management in homeland security, emphasizing the need for collaborative planning, adaptability, and effective communication among stakeholders. It is based on a study that explores how professionals can work across boundaries to address unanticipated problems.
A recent study published in Neuron found that brain areas related to self-awareness are inactive when individuals focus on external tasks, and only active when both sensory experience and self-awareness are present. This suggests a new perspective on the role of self-awareness in perception.
The Models of Infectious Disease Agent Study (MIDAS) network has welcomed four new research teams to aid in developing preparedness plans for outbreaks. The new teams will use computer modeling techniques to simulate infectious disease spread and evaluate the effects of public health measures.
Researchers at RIT are working on a groundbreaking study to model how rumors spread in social networks and affect individuals and groups. The project aims to use two diverse methodologies combining psychological and mathematical expertise to investigate the impact of rumors on human relationships and society.
Timothy Gardner, a Boston University biomedical engineer, has been selected for the TR100 award for his groundbreaking research on gene regulatory networks in bacteria. His work aims to optimize metabolic networks for bioremediation and energy production, with potential medical implications such as inferring mechanisms of drug action.
Georgia Tech researchers develop packet-level simulation capable of modeling over 1 million web browsers in near real time. The breakthrough offers new capabilities for engineers and scientists to analyze large-scale computer networks and find solutions to Internet problems.
The NIH award will focus on oxidative stress research in baker's yeast, with the goal of developing new strategies to combat neurodegenerative diseases. The grant also provides opportunities for high school and undergraduate students from economically-depressed areas to receive bioinformatics training.
Physician participation in HMOs and IPAs has declined significantly, with 33% of specialists without HMO patients in 2001/2002. Kaiser Permanente stands out as the most stable employer for physicians, with higher satisfaction rates compared to other managed care networks.
Reverse computation could help network managers identify trouble spots before congestion occurs, decreasing processing time by a factor of 10 or more. The technique aims to aid in rapid design of future network systems and improve the efficiency of current techniques.
A Cornell University computer scientist has concluded that the key to finding people in a network lies in its structure, which can provide fundamental cues for navigation. By using an "inverse square" pattern of connections, messages can travel faster and more efficiently through networks.
Computational biologist Sorin Istrail shows that the solution of Ising's model cannot be extended into three dimensions for any lattice, making exact solutions unattainable. The model, developed by Ernst Ising in 1926, has been extensively studied in one and two dimensions but remains unsolvable in three dimensions.
KSU civil engineer Steven K. Starrett developed the KTURF program to predict pesticide and nitrogen leaching, which is within 4% of testing case values. The tool helps golf course turf managers screen chemicals and reduce groundwater contamination.
Recent progress in Over-The-Horizon (OTH) radar technology is reviewed, including advancements in detection and tracking systems. Key findings include improved capabilities in clutter-dominated environments and the development of advanced algorithms to mitigate distortion mechanisms.
Researchers study sound waves traveling through the sun to probe its structure and improve solar models. The GONG data show that the sun's core spins at the same rate as its surface, a problem for understanding the solar system's formation.