Shiʿi jurists have three different theories with regard to gestational surrogacy and who should be recognized as the mother of the newborn: (1) the surrogate mother (2) or the ovum provider (biological mother) (3) or both of them. The religious law (al-Aḥkam al-sharʿi) regarding the title of ‘mother’ and issues such as inheritance, will (Waṣiya), marriage, and custody have been discussed by Shiʿi jurists but no exact definition of this term has been provided by them. Because the fertilized ovum is (...) considered the origin of humans and the formation of an embryo also determines the kinship of the newborn, the mother of the child is the woman that fetus created by her ovum. It is this woman who has all the rights and responsibilities of a mother; even if the surrogate mother is considered the mother of the child, she has no rights over the child nor does she have any duties towards him/her. (shrink)

Emotion recognition systems have been of interest to researchers for a long time. Improvement of brain-computer interface systems currently makes EEG-based emotion recognition more attractive. These systems try to develop strategies that are capable of recognizing emotions automatically. There are many approaches due to different features extractions methods for analyzing the EEG signals. Still, Since the brain is supposed to be a nonlinear dynamic system, it seems a nonlinear dynamic analysis tool may yield more convenient results. A novel approach in (...) Symbolic Time Series Analysis for signal phase space partitioning and symbol sequence generating is introduced in this study. Symbolic sequences have been produced by means of spherical partitioning of phase space; then, they have been compared and classified based on the maximum value of a similarity index. Obtaining the automatic independent emotion recognition EEG-based system has always been discussed because of the subject-dependent content of emotion. Here we introduce a subject-independent protocol to solve the generalization problem. To prove our method’s effectiveness, we used the DEAP dataset, and we reached an accuracy of 98.44% for classifying happiness from sadness. It was 93.75% for three, 89.06% for four, and 85% for five emotional groups. According to these results, it is evident that our subject-independent method is more accurate rather than many other methods in different studies. In addition, a subject-independent method has been proposed in this study, which is not considered in most of the studies in this field. (shrink)