Results 141 to 150 of about 39,041 (304)

Comparative Analysis of Physics-Guided Bayesian Neural Networks for Uncertainty Quantification in Dynamic Systems

Forecasting
Uncertainty quantification (UQ) is critical for modeling complex dynamic systems, ensuring robustness and interpretability. This study extends Physics-Guided Bayesian Neural Networks (PG-BNNs) to enhance model robustness by integrating physical laws into
Xinyue Xu, Julian Wang
doaj   +1 more source

Trust model for certificate revocation in Ad hoc networks

, 2007
In this paper we propose a distributed trust model for certificate revocation in Adhoc networks. The proposed model allows trust to be built over time as the number of interactions between nodes increase.
Thomas, JP, Ghinea, G, Shen, Z, Gheorghita Ghinea, Zhengming Shen, Sudha Chinni, Johnson Thomas, Chinni, S   +7 more
core   +1 more source

Lessons From Drug Discovery for Cryoprotective Agent Design: An AI‐Oriented Perspective

Advanced Science, EarlyView.
Cryoprotectant design is reframed through the lens of drug discovery as a multiparameter optimization problem. This perspective highlights how AI and systematic design strategies could enable safer, more effective cryoprotectants, while identifying key limitations that currently constrain predictive progress in cryobiology. ABSTRACT Cryopreservation is
Dominika Wilczok, Jesús Valdés‐Hernández, Varinia Bernales, Alán Aspuru‐Guzik, Alex Zhavoronkov   +4 more
wiley   +1 more source

Dynamic models of brain imaging data and their Bayesian inversion

, 2010
This work is about understanding the dynamics of neuronal systems, in particular with respect to brain connectivity. It addresses complex neuronal systems by looking at neuronal interactions and their causal relations.
Sousa Cardoso Costa Marreiros, A.
core  

Infinite dynamic bayesian networks

, 2020
We present the infinite dynamic Bayesian network model (iDBN), a nonparametric, factored state-space model that generalizes dynamic Bayesian networks (DBNs).
Nicholas Roy, Finale Doshi-Velez, David Wingate, Joshua Tenenbaum   +3 more
core  

AI‐Physics‐Experiment Trinity for Integrated Protein Dynamics Modeling

Advanced Science, EarlyView.
This review unites experiments, physics‐based simulations, and AI as a synergistic triad for protein dynamics modeling. It highlights integrative strategies, resolves sampling and forcefield bottlenecks, and outlines challenges and future directions for accurate, interpretable conformational ensemble prediction.
Chen Shi, Minying Low, Peng Xiu, Kresten Lindorff‐Larsen, Yong Wang   +4 more
wiley   +1 more source

Determining the probability of cyanobacterial blooms: the application of Bayesian networks in multiple lake systems

, 2015
A Bayesian network model was developed to assess the combined influence of nutrient conditions and climate on the occurrence of cyanobacterial blooms within lakes of diverse hydrology and nutrient supply.
Brookes, Justin D., Ingrid Chorus, Boqiang Qin, Chorus, I., Watkinson, Andrew J, Justin D. Brookes, Hamilton, David P, James A. Rusak, Rusak, James A, Sparber, K., Rigosi, A., Hipsey, M., Matthew Hipsey, Brookes, J., Bois, J., Hipsey, Matthew, Bomchul Kim, Hanson, P., Brookes, Justin D, Hanson, Paul, Hipsey, Matthew R., Qin, Boqiang, Kim, Bomchul, Karin Sparber, Hanson, Paul C., Andrew J. Watkinson, Hamilton, D., Sparber, Karin, Bois, Julie, Rigosi, Anna, Watkinson, Andrew J., Julie Bois, Rusak, J., Anna Rigosi, Paul Hanson, David P. Hamilton, Rusak, James A., Chorus, Ingrid, Watkinson, A., Kim, B., Qin, B., Hamilton, David P.   +41 more
core   +1 more source

Conformational Snapshots of CydDC in a Native Lipid Bilayer Coupling Heme Transport to Antibiotic Resistance

Advanced Science, EarlyView.
Phylogenetic and biochemical analyses of the heme transporter CydDC reveal its functional conservation throughout bacterial evolution and demonstrate its unique asymmetric allosteric mechanism. Furthermore, impairment of CydDC function directly affects bacterial antibiotic resistance and likely compromises antibiotic efficacy through drug efflux.
Lili Yang, Changbin Zhang, Mengyuan Lyu, Yongbo Luo, Jierou Zhang, Yujiao Chen, Lintao Luo, Wen Qiao, Xiangyangpeng Li, Yu Zhou, Zhongling Wei, Yuling Xiao, Qian Niu, Juan Zhou, Guanglin He, Binwu Ying, Zhaoming Su, Hao Chen, Xiaodi Tang, Haohao Dong   +19 more
wiley   +1 more source

Improved risk analysis for large projects: Bayesian networks approach

, 2010
PhDGenerally risk is seen as an abstract concept which is difficult to measure. In this thesis, we consider quantification in the broader sense by measuring risk in the context of large projects.
Fineman, Milijana
core  

T2T Genome Assembly and Multi‐Omics Data Reveal Terrestrial Adaptation and Mucus Biosynthesis in Tropical Leatherleaf Slug (Laevicaulis alte)

Advanced Science, EarlyView.
A gap‐free genome assembly and multi‐omics comparison of the terrestrial slug Laevichaulis alte with an aquatic relative reveal that expansion of the VEGF family orchestrates mucus production, lipid metabolism, and immune defense—highlighting key molecular innovations for conquering life on land.
Gang Wang, Shaofang He, Zhongkai Wang, Aobo Pang, Xiaoli Sun, Rongchen Liu, Fang Wang, Sisi Chen, Zhijuan Bian, Dongcheng Wei, Liuhan Wu, Siyao Zhao, Qiuting Ji, Yiqi Sun, Niying Sun, Yushinta Fujaya, Boping Tang, Kianann Tan, Daizhen Zhang, Lianfu Chen   +19 more
wiley   +1 more source