The prevalence of goiter, especially in iodine deficient regions, is higher in women than in men. This investigation was conducted to determine the effect of testosterone on thyroid weight and function in both normal iodine deficient and castrated rats. Male Wistar rats were divided into 6 groups of 7 animals each: castrated hormone treated (C+T); castrated nonhormone treated (C+NT); normal (N), iodine deficient diet, castrated hormone treated (ID+C+T); castrated iodine deficient diet, nonhormone treated (ID+C+NT); and normal iodine deficient diet (ID+N). Three weeks after castration, C+T and ID+C+T groups received daily intraperitoneal injections of 1 mg/kg testosterone enanthate, for 9 weeks. At the end, we measured thyroid weight and serum testosterone, T(4), free T(4), T3, and TSH, and urinary iodine concentrations. Serum testosterone level significantly decreased in the C+NT and ID+C+NT groups (p<0.001). In ID groups, serum TSH, T(3) and thyroid weight levels increased significantly and serum T4 and free T (4) levels decreased significantly as compared to iodine sufficient groups (p<0.001). ID+C+NT group, had higher serum TSH and thyroid weight and lower serum-free T4 than the ID+C+T and ID+N groups (p<0.01). The C+NT group had higher serum TSH and lower serum-free T(4) than the C+T and N groups (p<0.01). These results suggest that testosterone decreases thyroid enlargement and prevents the fall in free T(4) levels in ID castrated rats, which may explain the lower incidence of goiter in men than women in iodine deficient regions.

Movement-based brain–computer Interfaces (BCI) rely significantly on the automatic identification of movement intent. They also allow patients with motor disorders to communicate with external devices. The extraction and selection of discriminative characteristics, which often boosts computer complexity, is one of the issues with automatically discovered movement intentions. This research introduces a novel method for automatically categorizing two-class and three-class movement-intention situations utilizing EEG data. In the suggested technique, the raw EEG input is applied directly to a convolutional neural network (CNN) without feature extraction or selection. According to previous research, this is a complex approach. Ten convolutional layers are included in the suggested network design, followed by two fully connected layers. The suggested approach could be employed in BCI applications due to its high accuracy.

Background: Hormonal imbalance is one of the important etiological factors for Oligoasthenoteratospermias (OAT). Objective: This study aimed to evaluate the effects of hormonal changes including prolactin, TSH, testosterone, luteinizing hormone, follicle-stimulating hormone, and anti-Mullerian hormone on sperm DNA fragmentation in normal men compared with OAT to design a clinical algorithm for the comprehensive study of male factor infertilities. Materials and Methods: We consecutively selected 60 candidates referred to the infertility clinic to collect the semen and blood samples. Then, a terminal deoxynucleotidyl transferase dUTP nick end labeling test was performed to evaluate the sperm DNA fragmentation index (DFI). After semen analysis and DFI checking, they were classified into 4 groups consisting of normospermia and OAT men each with or without increased DFI. Hormone parameters were analyzed using enzyme-linked immunoassay. Results: Follicle-stimulating hormone and luteinizing hormone levels showed positive correlations with DFI in a significant way (p ≤ 0.01), while testosterone and thyroidstimulating hormone were associated with sperm concentration. Prolactin and anti- Mullerian hormone levels significantly correlated (p ≤ 0.01) with sperm concentration and DFI value simultaneously. Conclusion: Decreased and increased levels of serum hormones could adversely affect semen profile and sperm DNA integrity which lead to severe male infertility. Although we investigated the effects of the main hormones related to male infertility on DNA damage, the role of these hormones on the fertilization rate and embryo quality needs to be evaluated in further studies. Key words: DNA fragmentation, Oligospermia, Asthenospermia, Teratospermia, Hormones.