Results 51 to 60 of about 1,737,554 (259)

Integrating Dense Genotyping with High‐Throughput Phenotyping Empowers the Genetic Dissection of Berry Quality and Resilience Traits in Grapevine

open access: yesAdvanced Science, EarlyView.
Researchers develop advanced tools to study grapevine traits like berry quality and stress resilience. A 200K SNP array and high‐throughput phenotyping enable the identification of loci linked to berry shape, sugar content, acidity, and cold tolerance. Functional validation of genes such as NAC08 reveals roles in cold tolerance.
Yuyu Zhang   +11 more
wiley   +1 more source

Models of Consensus for Multiple Agent Systems [PDF]

open access: yesarXiv, 2013
Models of consensus are used to manage multiple agent systems in order to choose between different recommendations provided by the system. It is assumed that there is a central agent that solicits recommendations or plans from other agents. That agent the n determines the consensus of the other agents, and chooses the resultant consensus recommendation
arxiv  

Non‐Invasive Tumor Budding Evaluation and Correlation with Treatment Response in Bladder Cancer: A Multi‐Center Cohort Study

open access: yesAdvanced Science, EarlyView.
This study introduces a deep learning model that predicts tumor budding (TB) status in bladder cancer through the analysis of CT images. The model effectively identifies patients with high TB status, correlating with poorer prognosis and reduced responsiveness to neoadjuvant chemoimmunotherapy. This tool offers significant potential to inform prognosis
Xiaoyang Li   +21 more
wiley   +1 more source

Controllability and Stabilizability Analysis of Signed Consensus Networks [PDF]

open access: yesarXiv, 2017
Signed networks have been a topic of recent interest in the network control community as they allow studying antagonistic interactions in multi-agent systems. Although dynamical characteristics of signed networks have been well-studied, notions such as controllability and stabilizability for signed networks for protocols such as consensus are missing ...
arxiv  

The state of targeted therapeutic pharmacological approaches in pediatric neurosurgery: report from the European Society for Pediatric Neurosurgery (ESPN) Consensus Conference 2024

open access: yesChild's Nervous System
Objective The development of novel targeted therapies is opening new perspectives in the treatment of pediatric brain tumors. Their precise role in therapeutic protocols still needs still to be defined.
P. Frassanito   +88 more
semanticscholar   +1 more source

National Institutes of Health Consensus Development Conference Statement: management of hepatitis B.

open access: yesAnnals of Internal Medicine, 2009
National Institutes of Health (NIH) consensus and stateof-the-science statements are prepared by independent panels of health professionals and public representatives on the basis of 1) the results of a systematic literature review prepared under ...
M. Sorrell   +11 more
semanticscholar   +1 more source

Engineered Probiotics Mitigate Gut Barrier Dysfunction Induced by Nanoplastics

open access: yesAdvanced Science, EarlyView.
Intestinal barrier stability is vital for gut health. Plastic polyethylene terephthalate (PET) disrupts this barrier, causing inflammation and infections. This study encodes transforming growth factor‐β into EcN and modifies its surface with pH‐responsive polymer (EcNT@L), creating an oral drug delivery system to repair nano PET‐induced intestinal ...
Wenxin Chen   +9 more
wiley   +1 more source

Prospects for the 2011 BTWC Review Conference [PDF]

open access: yes, 2010
No description ...
McLeish, Caitriona
core  

Some Complexity Considerations in the Combination of Belief Networks [PDF]

open access: yesarXiv, 2013
One topic that is likely to attract an increasing amount of attention within the Knowledge-base systems research community is the coordination of information provided by multiple experts. We envision a situation in which several experts independently encode information as belief networks.
arxiv  

The fastest linearly converging discrete-time average consensus using buffered information [PDF]

open access: yesarXiv, 2022
In this letter, we study the problem of accelerating reaching average consensus over connected graphs in a discrete-time communication setting. Literature has shown that consensus algorithms can be accelerated by increasing the graph connectivity or optimizing the weights agents place on the information received from their neighbors.
arxiv  

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