Quantifying aesthetics of visual design applied to automatic design

In today\u27s Instagram world, with advances in ubiquitous computing and access to social networks, digital media is adopted by art and culture. In this dissertation, we study what makes a good design by investigating mechanisms to bring aesthetics of design from realm of subjection to objection. These mechanisms are a combination of three main approaches: learning theories and principles of design by collaborating with professional designers, mathematically and statistically modeling good designs from large scale datasets, and crowdscourcing to model perceived aesthetics of designs from general public responses. We then apply the knowledge gained in automatic design creation tools to help non-designers in self-publishing, and designers in inspiration and creativity. Arguably, unlike visual arts where the main goals may be abstract, visual design is conceptualized and created to convey a message and communicate with audiences. Therefore, we develop a semantic design mining framework to automatically link the design elements, layout, color, typography, and photos to linguistic concepts. The inferred semantics are applied to a design expert system to leverage user interactions in order to create personalized designs via recommendation algorithms based on the user\u27s preferences

Web pages: What can you see in a single fixation?

Research in human vision suggests that in a single fixation, humans can extract a significant amount of information from a natural scene, e.g. the semantic category, spatial layout, and object identities. This ability is useful, for example, for quickly determining location, navigating around obstacles, detecting threats, and guiding eye movements to gather more information. In this paper, we ask a new question: What can we see at a glance at a web page – an artificial yet complex “real world” stimulus? Is it possible to notice the type of website, or where the relevant elements are, with only a glimpse? We find that observers, fixating at the center of a web page shown for only 120 milliseconds, are well above chance at classifying the page into one of ten categories. Furthermore, this ability is supported in part by text that they can read at a glance. Users can also understand the spatial layout well enough to reliably localize the menu bar and to detect ads, even though the latter are often camouflaged among other graphical elements. We discuss the parallels between web page gist and scene gist, and the implications of our findings for both vision science and human-computer interaction.Google Awar

The relationships between emotional intelligence, sensation seeking, and marital satisfaction among female teachers

Background: Marriage and matrimony is an issue widely affected by emotional intelligence and sensation seeking. The purpose of the present study was to investigate the relationships between emotional intelligence, sensation seeking, and marital satisfaction among female teachers in the city of Borujerd.Methods: The statistical population consisted of all married female teachers in the city of Borujerd among whom 100 were selected as the sample using random cluster sampling method. To collect the data, Enrich marital satisfaction, Bar-On emotional intelligence, and Zuckerman sensation seeking questionnaires were used. Data analysis was performed using SPSS software running Pearson’s correlation test and stepwise regression.Results: The results of the analysis indicated that, with a significance level of P<0.001, there was a negative and significant relationship between sensation seeking and marital satisfaction, and there was a positive and significant relationship between emotional intelligence and marital satisfaction. Also, a statistically significant relationship was found between sensation seeking and emotional intelligence. Due to the inverse relationship, any increase in sensation seeking scores results in a decrease in marital satisfaction and vice versa. Moreover, because of the direct relationship between the two variables, any increase in emotional intelligence results in an increase in marital satisfaction.Conclusion: Considering the findings of the present study, sensation seeking and emotional intelligence have a significant relationship with marital satisfaction. The results of the study can help psychologists and counselors to pay more attention in marital satisfaction and affecting factors to enhance couples’ relationships

Paint by Word

We investigate the problem of zero-shot semantic image painting. Instead of painting modifications into an image using only concrete colors or a finite set of semantic concepts, we ask how to create semantic paint based on open full-text descriptions: our goal is to be able to point to a location in a synthesized image and apply an arbitrary new concept such as "rustic" or "opulent" or "happy dog." To do this, our method combines a state-of-the art generative model of realistic images with a state-of-the-art text-image semantic similarity network. We find that, to make large changes, it is important to use non-gradient methods to explore latent space, and it is important to relax the computations of the GAN to target changes to a specific region. We conduct user studies to compare our methods to several baselines.Comment: 10 pages, 9 figure

Synthesis, characterization, molecular docking studies and biological evaluation of some novel hybrids based on quinazolinone, benzofuran and imidazolium moieties as potential cytotoxic and antimicrobial agents

Objective(s): Hybridization of bioactive natural and synthetic compounds is one of the most promising novel approaches for the design of hit and lead compounds with new molecular structures. In this investigation, a series of novel hybrid structures bearing quinazolinone, benzofuran and imidazolium moieties were designed and synthesized. Materials and Methods:Novel hybrid compounds were prepared and their structures were characterized by spectral and analytical data. In order to evaluate the biological activities, the synthesized hybrid compounds were studied for in vitro antibacterial activity against three Gram positive bacteria (Staphylococcus aureu, Bacillus subtilis, Listeria monocitogenes) and three Gram-negative bacteria (Escherichia coli, Pseudomonas aeruginosa, Salmonella entritidis) and also, Candida albicans as one yeast-like fungi strain. Cytotoxic activities of the synthesized compounds were also evaluated by the MTT assay in the human breast cancer cell line (MCF-7) and finally docking studies of cytotoxic derivatives were performed on aromatase enzyme. Results:The results of antimicrobial activity showed that compound 14e, with two halogen atoms on quinazolinone and benzofuran was the most active against all the tested strains of microorganisms with the MIC value 16-128 µg/ml. Some of the tested compounds showed good cytotoxicity on MCF-7, and compound 14c with IC50=0.59 micromolar (μM) was found to be the most cytotoxic compound among the studied hybrid derivatives. The docking analysis showed acceptable binding interactions for these compounds. Conclusion: Based on the obtained results, the hybrid derivatives of quinazolinone, benzofuran and imidazolium could be regarded as efficient candidates for further molecular developments of anticancer and antimicrobial agents