Factors Influencing Perceptions of Guilt

Study 1: Google images was used to collect images of 10 male and 10 female criminals. It was hypothesized that criminals would be depicted showing their right cheek more than their left. Each image was then coded for cheek orientation (left or right). Overall results showed no significant cheek bias towards one cheek or the other, however individual criminals (except one) showed a preference for one cheek over the other. Study 2: It was hypothesized that individuals would perceive criminals offering their right cheek as more guilty than criminals offering their left cheek. Participants looked at images of models who displayed a neutral expression using either their left or right cheek. Results indicted that there was no difference in guilt perception for male and female models

Factors Influencing Perceptions of Guilt

Study 1: Google images was used to collect images of 10 male and 10 female criminals. It was hypothesized that criminals would be depicted showing their right cheek more than their left. Each image was then coded for cheek orientation (left or right). Overall results showed no significant cheek bias towards one cheek or the other, however individual criminals (except one) showed a preference for one cheek over the other. Study 2: It was hypothesized that individuals would perceive criminals offering their right cheek as more guilty than criminals offering their left cheek. Participants looked at images of models who displayed a neutral expression using either their left or right cheek. Results indicted that there was no difference in guilt perception for male and female models

ISSN 2I41-2596 ©2010 Academic Journals

Molecular characterization of antigens extracted from hydatid cysts of human and other intermediate host

A study of bacterial types associated with males infertility in AL-Najaf AL-Ashraf Governorate.

A total of 328 seminal fluid samples were collected from infertile patients with various types of infertility; Azoospermia, oligozoospermia, asthenozoospermia, teratozoospermia aged between 19 to 60 years, in comparsion with control group (Normospermia) during march until August 2013.      The biggest number of infertility were in age 19-29 years which reached 143(44%) ,followed by 30-39 years 109 (33%) and ˃ 40 years  76(23%) . There are  significant differences between various infertility types and age groups (p˂0.05).                                                                    A total of 48 isolations of Gram positive and negative bacterial Types were isolated  Staphylococcus aureus has a highly prevalence from (45) infertile patients numbered 15 isolates in percentage (29%) , followed by other bacterial types : Streptococcus pyogenes ,  Klebsiella  Spp. , Escherichia coli, Enterobacter Spp.  and  Neisseria gonorrhea that numbers of isolations and percent ages as follows: 14(29%),7(15%) ,3 (6%),and 2(4%)  respectively . statistically, there are significant differences between numbers of bacterial isolates (P˂0.05).