فهرست مطالب a. darvish

The Aim of this Research is to Analyze and Numerically Investigate the Penetration of Projectiles in Concrete Slabs Reinforced with Rebars and Perforated Steel Sheets by Nonlinear Finite Element Analysis Method and Using Abaqus Software. In this Research, Perforated Steel Sheets Have Replaced common Steel Rebars to Reinforce the Slabs. Perforated steel sheets have a good connection with the surrounding concrete due to their two-way function and the holes they Have, and they Create more Integrity in Reinforced Concrete Slabs. In this Regard, Models of Concrete Slabs Reinforced with Perforated Sheets and Reinforced with Rebars with Equal Volume Percentage of Steel under the Impact of Projectiles with Flat, Conical and Ajays Noses at a Speed of 630 Meters per Second are Simulated and has been Investigated. The Results of the Analysis Showed that the Use of Perforated Sheets for Arming Reinforced Concrete Slabs Instead of Reinforcement Increases the Strength and Strength of the Concrete Slab, Decreases the Projectile Speed, Decreases the Penetration Depth of the Projectile, Reduces the Kinetic energy and Absorbs more Energy in the Concrete Slabs.

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.

Due to lack of physical, emotional and psychological preparation, premature birth may cause a lot of stress for parents and may have consequences for both parents and infants. Since some parents have difficulty participating in face-to-face training programs, this study was conducted to determine the effectiveness of a training program based on virtual participation on stress and anxiety of parents with premature infants

This quasi-experimental study was performed among 80 parents of premature infants admitted to Amirkola Children's Hospital and Ayatollah Rouhani Hospital, who were randomly assigned to intervention and control groups with 40 participants in each group. The parents of the intervention group received the content of the virtual participation training program asynchronously in the form of Telegram groups within four days. The control group received no intervention other than the usual methods and support of the ward. Then, the State-Trait Anxiety Inventory (score 40-160) and the Parental Stress Scale (score 31-155) were completed and compared on the third and seventh days for both groups and on 13th day for the intervention group.

Results showed that parental stress score decreased from (97.118±21.68) to (86.27±00.27) (p<0.001) in the intervention group. In the control group, it changed from (76.103±30.44) to (91.99±31.82), which was not significant. In investigation of the effect of time on parental stress subscales, the mean scores of the questionnaires showed a significant difference from day 3 to day 13 in regard with the components of stressful parental experiences, relationship with the infant and parental role, parental experiences about behavior, appearance and treatment of the infant, and environmental stress (p<0.001). The parental state anxiety score in the intervention group changed from (45.68±4.63) to (46.63±3.54) and in the control group from (46.25±6.38) to (46.83±5.21), and the parental trait anxiety score in the intervention group changed from (43.88±5.91) to (43.97±5.59) and in the control group from (43.18±5.62) to (42.17±6.63), which was not significant.

The results of the study showed that training program based on virtual participation reduces the stress of parents with premature infants.