In the field of data science, there are a variety datasets that suffer from high-dimensional, low-sample-size (HDLSS) problem; however, only few dimensionality reduction methods exist applicable to address this type problem, and is no nonparametric solution date. The purpose work develop novel network-based (nonparametric) analysis (NDA) method, can be effectively applied HDLSS data. First, wit...

the mail goal of the present paper is to study the influence of informal social networkssupport on job satisfaction of married women using the direct effect of social support anddurkheimian anomie theories and network analysis perspective. it has been performed usingsurvey method and questionnaire. statistical population is constituted of all working andmarried women (20-55) living in ardabil. ...

background: the purpose of this study is to determine association between personal, family, neighborhood, and social network characteristics and perceived intimacy in the neighborhood by the women. methods: in this cross‑sectional study, we applied a two‑stage sampling method to choose a representative sample of 150 married women and housewives, aged 15 to 49 years, who had education between si...

Olfaction is an important medium of social communication in humans. However, it is not known whether olfactory function is associated with social network size. This study aimed to explore the underlying neural mechanism between olfactory function and social network. Thirty-one healthy individuals participated in this study. Social network size was estimated using the Social Network Index. Olfac...

This paper evaluates different strategies for enhancing (partial) fault tolerance (PFT) of feedforward artificial neural networks (ANNs). We evaluate a continuum of strategies between the two extremes (i) Replicating a minimal seed network to achieve a final desired size with the resultant PFT and (ii) Starting with the desired (larger) size but using modified training algorithms to achieve hig...