Results 121 to 130 of about 12,147 (312)
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 +4 more
wiley +1 more source
Fuzziness and Roughness in Hyperquantales
International Journal of Analysis and Applications, 2020 Theories of fuzzy set and rough set are powerful mathematical tools for modelling various types of uncertainty. In this paper, we introduce the notions of bi-hyperideal, fuzzy bi-hyperideals of hyperquantales and their related properties is given ...
Raees Khan +4 more
doaj
TDP‐43 Aggregation: The Healthy‐Toxic Balance of the Prion‐Like Domain
Advanced Science, EarlyView.TDP‐43 function relies on a delicate balance between reversible phase‐separated states and irreversible aggregation. Under physiological conditions, TDP‐43 forms dynamic droplets and oligomers that support normal cellular functions. In pathological contexts, this balance shifts toward aberrant aggregation, leading to toxic species.
Luca Zangrando +2 more
wiley +1 more source
ANALYSIS OF FUZZY QUEUES: PARAMETRIC PROGRAMMING APPROACH BASED ON RANDOMNESS - FUZZINESS CONSISTENCY PRINCIPLE [PDF]
Journal of Process Management and New Technologies, 2015 In this article, based on Zadeh’s extension principle we have apply the parametric programming approach to construct the membership functions of the performance measures when the interarrival time and the service time are fuzzy numbers based on the ...
Dhruba Das, Hemanta K. Baruah
doaj
Intraclass and interclass ambiguities (fuzziness) in feature evaluation
, 1984 The terms Index of fuzziness, Entropy and π-ness which give measures of fuzziness (ambiguity) in a set are used here to define an Index of Feature Evaluation in pattern recognition problems in terms of intraclass and interclass ambiguity.
Pal, S. K., Chakraborty, B.
core +1 more source
Advanced Science, EarlyView.An optimized single‐cell transcriptomic framework profiles over 60 000 cells to map the ovine rumen microbiome, partitioning the ecosystem into seven cross‐species functional clusters. In heat‐resistant hosts, a lineage‐specific metabolic shift in Anaerovibrio lipolyticus toward a highly glycolytic phenotype contributes to a “nutritional sparing ...
Sanbao Zhang +8 more
wiley +1 more source
Measures of fuzziness based on t-norms.
, 1982 We use the concept of t-norms and conorms to develop a pseudo metric and we then use this pseudo metric to define a class of measures of fuzziness associated with a fuzzy set.
Yager, Ronald R.
core
Sufficiency and fuzziness in random experiments
Blackwell's sufficiency, fuzziness, fuzzy information, random experiment, probability of a fuzzy event,
María Gil
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, 2002 In the remote sensing literature, a number of fuzziness indices have been proposed for quantifying the uncertainty in categorical labelling of thematic map locations. However, despite its vast potential applicability, none seems to be generally preferred.
AVENA, Giancarlo, RICOTTA, Carlo
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Advanced Science, EarlyView.ABSTRACT Glioblastoma multiforme (GBM) remains largely incurable due to the blood‐brain barrier (BBB) and immunosuppressive microenvironment. While boron neutron capture therapy (BNCT) selectively eradicates tumor cells via 10B(n, α)‐7Li reactions, its clinical potential in GBM is unrealized because of the suboptimal pharmacokinetics of conventional ...
Jiawen Chen +22 more
wiley +1 more source