background: cancer immunotherapy attempts to stimulate the immune system to reject and destroy tumors and is one of the cancer treatment strategies. recently, interluekin36 (il36) has been used as immunotherapeutic agents in cancer gene therapy. present study investigated that the il36 gene therapy effects on the regression of tumor masses in mouse model. aim of this study is determination of t...

Introduction: Stress is associated with neurological and cognitive disorders. It has been suggested that doxepin, in addition to its influence on the content of neurotransmitters, has probable neuroprotective effects as well. Therefore, the aim of this study was to investigate the effects of doxepin on synaptic plasticity and brain-derived neurotrophic factor (BDNF) gene expression in the rat h...

Objective: We examined the effectiveness of Hyssopus officinalis (hyssop) aqueous extract on pentylenetetrazole (PTZ)-induced acute seizures and the hippocampus iNOS (induciblenitric oxide synthases) gene expression as a potential mediator of the effects. Materials and Methods: Adult male Wistar rats were used. Tonic-clonic seizures were...

Introduction: Ghrelin and Orexin A exert inhibitory effects on gonadotropins secretion. Aromatase is a key enzyme in the steroidogenesis pathway which converts testosterone to the estradiol. Treatment of neonatal female rats with testosterone propionate (TP) alters gonadotropin secretion patterns in the adulthood. In the present study the effects of central injection of ghrelin or orexin A o...

We discuss the use of fixed and random effects models in the context of educational research and set out the assumptions behind the two modelling approaches. To illustrate the issues that should be considered when choosing between these approaches, we analyse the determinants of pupil achievement in primary school, using data from the Avon Longitudinal Study of Parents and Children. We conclude...

An alternative to the classical mixedmodel with normal random effects is to use a Dirichlet process to model the random effects. Such models have proven useful in practice, and we have observed a noticeable variance reduction, in the estimation of the fixed effects, when the Dirichlet process is used instead of the normal. In this paper we formalize this notion, and give a theoretical justifica...

In this paper I discuss economic processes that may give rise to spatial patterns in data, and explore the relative merits of alternative modeling approaches when data are spatially correlated. Specifically, I present an estimation scheme that allows for spatial random effects, and focus attention on cases in which such a framework may be preferred to the more general fixed effects framework th...