Results 211 to 220 of about 116,111 (309)
The DNA of Calabi–Yau Hypersurfaces
Abstract Genetic Algorithms are implemented for triangulations of four‐dimensional reflexive polytopes, which induce Calabi–Yau threefold hypersurfaces via Batyrev's construction. These algorithms are shown to efficiently optimize physical observables such as axion decay constants or axion–photon couplings in string theory compactifications.
Nate MacFadden +2 more
wiley +1 more source
Rice Growth Estimation and Yield Prediction by Combining the DSSAT Model and Remote Sensing Data Using the Monte Carlo Markov Chain Technique. [PDF]
Chen Y +5 more
europepmc +1 more source
This article reports the first genome sequence of a UK Alternaria brassicae isolate. Dual RNA‐sequencing profiling of A. brassicae‐infected Brassica juncea leaves identified differentially expressed genes involved in pathogenicity and host response pathways in moderately resistant Sej‐2 (2) and moderately susceptible Pusa Jaikisan cultivars.
Kevin M. King +6 more
wiley +1 more source
Identifiability and convergence behavior for Markov chain Monte Carlo using multivariate probit models. [PDF]
Zhang X.
europepmc +1 more source
Abstract Intranasal diamorphine (IND), approved for managing breakthrough pain in the UK, has been identified as an acceptable alternative offering effective, expedient, and less traumatic analgesia for children. However, the current dose regimen in pediatric populations relies on clinical expertise while the pharmacokinetics properties are poorly ...
Lianjin Cai +6 more
wiley +1 more source
Rare-event simulation with Markov chain Monte Carlo
Thorbjörn Gudmundsson
openalex +1 more source
Abstract Myelodysplastic syndromes (MDS) represent a group of bone marrow disorders involving cytopenias, hypercellular bone marrow, and dysplastic hematopoietic progenitors. MDS remains a challenge to treat due to the complex interplay between disease‐induced and treatment‐related cytopenias.
Neha Thakre +5 more
wiley +1 more source
Abstract The pharmaceutical industry has increasingly adopted model‐informed drug discovery and development (MID3) to enhance productivity in drug discovery and development. Quantitative systems pharmacology (QSP), which integrates drug action mechanisms and disease complexities to predict clinical endpoints and biomarkers is central to MID3.
Hiroaki Iwata, Ryuta Saito
wiley +1 more source
Bayesian Analysis of Exponential Random Graph Models Using Stochastic Gradient Markov Chain Monte Carlo. [PDF]
Zhang Q, Liang F.
europepmc +1 more source

