introduction: despite the legal and moral sanctions against infidelity and reported negative attitudes, the ubiquity of infidelity in the our country is difficult to deny. due to the growing prevalence and negative effects of marital infidelity, understanding the complex relationships among selected individual and relationship variables that contribute to infidelity it is important and help pre...

We examined sex differences in the prevalence, incidence, reasons for, and consequences of infidelity. Participants (Study 1, 543 undergraduates in the Northwestern US; Study 2, 313 undergraduates and 233 community members in the Mid-Atlantic US), reported on infidelity by questionnaire. Using a broad definition of cheating, women reported being as unfaithful or more unfaithful than men. Men we...

This work explores the neural features that are trained by decreasing a discriminative energy. It directly resolves the unfaithful representation problem and the ambiguous internal representation problem in various backpropagation training algorithms for MLP. It also indirectly overcomes the premature saturation problem. Keywords—Multilayer perceptron; deep learning; Boltzmann machine; ambiguou...

INTRODUCTION Given the prevalence and harm of sexually transmitted infections (STIs), there is a need to examine safer sex strategies in the context of romantic relationships and extradyadic sexual encounters. Sexual infidelity is associated with a variety of detrimental psychosocial outcomes; however, little research has addressed the sexual health ramifications of sexually unfaithful partners...

The reasons of «failed» forecasts for catch pink salmon at the mainland coast Tatar Strait are analyzed. classical «stock–recruitment» models produce regular errors in runs pacific under changing conditions reproduction. To reduce prediction errors, these should include parameters meteorological freshwater period life. In particular case Strait, a relationship is revealed between year-class str...

Causal discovery programs have met with considerable enthusiasm in the AI and data mining communities. Amongst philosophers they have met a more mixed response, with numerous skeptics pointing out weaknesses in their assumptions. Some criticize the reliance upon faithfulness (the idea that every causal connection will result in probabilistic dependence), since the true model may in fact be unfa...