LEO orbit space radiations in which the protons has the main contribution, have survived devastating effects on electronic components. The damage caused by ionizing protons on the satellite electrical components in the circuit LEO moves was reviewed. By studying the LEO orbit by Shieldose software, the worst-case scenario was evaluated for a satellite. Considering the electronic components based on metal oxide semiconductor (MOS), a design for protection against TID originated from captured protons was done by MULASSIS software based on Monte Carlo calculations. Considering the weight and volume constraints, multiple layers for ionizing dose reduction were studied. Results show that a three-layer combination of shielding materials including low, high and low density materials, which simultaneously optimize the weight and volume, makes the optimum protection.

Identification of the exact location of an exon in a DNA sequence is an important research area of bioinformatics. The main issues of the previous signal processing techniques are accuracy and robustness for the exact locating of exons. To address the mentioned issues, in this study, a method has been proposed based on deep learning. The proposed method includes a new preprocessing, a new mapping method, and a multi-scale modified and hybrid deep neural network. The proposed preprocessing method enriches the network to accept and encode genes at any length in a new mapping method. The proposed multi-scale deep neural network uses a combination of an embedding layer, a modified CNN, and an LSTM network. In this study, HMR195, BG570, and F56F11.4 datasets have been used to compare this work with previous studies. The accuracies of the proposed method have been 0.982, 0.966, and 0.965 on HMR195, BG570, and F56F11.4 databases, respectively. The results reveal the superiority and effectiveness of the proposed hybrid multi-scale CNN-LSTM network.

This paper presents a new wideband, low-loss and sharp rejection Band pass filter which is implemented by using broadside coupled lines and stepped-impedance open circuit stubs. It is demonstrated that using stepped impedance open stub, controllable transmission zeroes are attainable. Transmission line model for proposed structure is introduced and detailed analysis is investigated. The goals of broad pass band and sharp rejection are achieved by choosing the impedances of transmission lines properly. Designed filter operates in 2-6 GHz with low insertion loss (less than 1dB) and high rejection in out of frequency band. The theoretically predicted performance is in good agreement with experimental results.

Semen analysis is usually the firs t s tep in the assessment of male fertility. Although analyzes provide valuable information about male fertility, success of cytoplasmic sperm injection using this method is not predictable. In the recent years, s tudies have shown that sperm quality assessment helps clinicians predict male fertility s tatus based on the expression of biomarkers. To write this article, a comprehensive s tudy was conducted on several RNA transcripts by searching related words on medical information databases by 2018. According to the literature, spermatogenesis based disorders in male infertility have a significant relationship with the expression level of some RNA molecules (like DAZ and PRM1/PRM2 ratio) in semen and tes ticular tissue. Thus, they might be used as predictor biomarkers to evaluate success rate of tes ticular sperm extraction (TESE) procedure, but confirmation of this hypothesis requires more extensive research. By comparing the number of RNAs attributed to each fertility disorder in men, it is possible to trace the causes of disease or return fertility to some infertile patients by regulating the mentioned molecules. Further researches can provide a better unders tanding of the use of RNA expression profiles in the diagnosis and treatment of male infertility.