In this task, you are given a abstract of article and corresponding title of an article. Your task is to generate label "yes" if title is right for article, otherwise generate "no".

[EX Q]: Abstract: Pancreatic ductal adenocarcinoma (PDA) is among the most lethal human cancers in part because it is insensitive to many chemotherapeutic drugs. Studying a mouse model of PDA that is refractory to the clinically used drug gemcitabine, we found that the tumors in this model were poorly perfused and poorly vascularized, properties that are shared with human PDA. We tested whether the delivery and efficacy of gemcitabine in the mice could be improved by coadministration of IPI-926, a drug that depletes tumor-associated stromal tissue by inhibition of the Hedgehog cellular signaling pathway. The combination therapy produced a transient increase in intratumoral vascular density and intratumoral concentration of gemcitabine, leading to transient stabilization of disease. Thus, inefficient drug delivery may be an important contributor to chemoresistance in pancreatic cancer.. Title: Microenvironment rigidity modulates responses to the HER2 receptor tyrosine kinase inhibitor lapatinib via YAP and TAZ transcription factors.
[EX A]: no

[EX Q]: Abstract: Summary. We consider the problem of comparing complex hierarchical models in which the number of parameters is not clearly defined. Using an information theoretic argument we derive a measure pD for the effective number of parameters in a model as the difference between the posterior mean of the deviance and the deviance at the posterior means of the parameters of interest. In general pD approximately corresponds to the trace of the product of Fisher's information and the posterior covariance, which in normal models is the trace of the 'hat' matrix projecting observations onto fitted values. Its properties in exponential families are explored. The posterior mean deviance is suggested as a Bayesian measure of fit or adequacy, and the contributions of individual observations to the fit and complexity can give rise to a diagnostic plot of deviance residuals against leverages. Adding pD to the posterior mean deviance gives a deviance information criterion for comparing models, which is related to other information criteria and has an approximate decision theoretic justification. The procedure is illustrated in some examples, and comparisons are drawn with alternative Bayesian and classical proposals. Throughout it is emphasized that the quantities required are trivial to compute in a Markov chain Monte Carlo analysis.. Title: Bayesian measures of model complexity and fit
[EX A]: yes

[EX Q]: Abstract: The extensive computerisation of Danish pharmacies has permitted the establishment of two large prescription registries: The Odense University Pharmacoepidemiological Database (OPED) and the Pharmacoepidemiological Prescription Database of North Jutland (PDNJ). The Danish prescription registries content, coverage, completeness and the quality of the data are discussed in this article. Furthermore, conditions for access to the data are presented. The two prescription registries cover a background population of approximately one million or 18% of the Danish population. The populations covered by the registries are stable and representative of the Danish population in general. The registries cover all reimbursed medicine at the level of the individual user. Registration of a unique and permanent personal identifier enables the compilation of longitudinal drug histories and allows the linking of prescription data to other population-based Danish registries. The degree of completeness of the Danish prescription registries is excellent for reimbursed prescription drugs. A small number of comparison studies also indicate high validity of the register information. The Danish prescription registries represent a useful new data source for pharmacoepidemiological studies.. Title: The Danish prescription registries.
[EX A]:
yes