Jorjani Biomedicine Journal
Volume:8 Issue: 2, Summer 2020

Stem cells isolated from human exfoliated deciduous teeth (SHEDs) are multipotent mesenchymal stem cells that are isolated from dental pulp tissues. These cells have a high proliferative capacity, multipotential ability, immunomodulatory function, and minimal risk of oncogenesis. Recent studies have shown that SHEDs are a feasible cell source for cell therapy and regenerative medicine.

Supernumerary teeth are known as the teeth in excess of the normal dentition. Multiple supernumerary teeth are usually observed as having syndromes. Conversely, multiple supernumerary teeth without any associated systemic conditions or syndromes are not common.

This article documents an unusual case report, a male patient with non-syndromic 10 supernumerary teeth in both jaws, an incidental finding during routine radiographic examination.

CBCT is the best diagnostic imaging method currently available for determining the relationships of teeth and the surrounding structures in cases with multiple impacted teeth or severe overlapping of impacted teeth

Tobacco consumption is one of the hazardous factors that affect people’s quality of life and quality of sleep. This study aimed to compare components quality of sleep in physically active and inactive people tobacco consumers.

Tobacco consumers in Shiraz were the statistical population of this comparative study. That 470 people of them Participated in the study. Pittsburgh sleep quality questionnaire (PSQI) was used for data collection.

physically active tobacco consumers compared with inactive tobacco consumers obtained significantly better scores in total PSQI score (p = 0.006) and subscales such as daytime dysfunction (p = 0.007), sleep duration (p = 0.002), sleep latency (p = 0.01), subjective sleep quality (p = 0.03).

Exercise and physical activity can have a positive effect on the quality of sleep in tobacco consumers. Findings can inform interventions designed to improve sleep quality via increasing opportunities for exercise among smokers.

Psychological studies with behavioral therapy and cognitive therapy approaches seek to discover ways to treat attention deficit / hyperactivity disorder (ADHD). The aim of the present study was to investigate the effectiveness of 12 weeks of physical activity with motor-cognitive approach on response inhibition and sustained attention in children with the symptoms of ADHD.

The present study was a quasi-experimental with a pretest-posttest design. The statistical population of the study consisted of all children aged 9 to 11 years with a history of 1 to 2 years of ADHD symptoms in Kermanshah. 30 children with ADHD voluntarily participated in the study and divided randomly in the experimental and control groups. Participants in the experimental group performed motor-cognitive training with moderate-intensity for 12 weeks (2 sessions in week) and 60 minute per session. The present research instrument was the Wechsler’s intelligence scale, the SNAP questionnaire, the stroop test and the continuous performance test. To analyze the data, multivariate and univariate analysis of covariance were used.

The results showed a significant improvement in response inhibition (F1,28=63.1, sig=0.001) and sustained attention (F1,28=32.9, sig=0.001) scores in children with ADHD in the experimental group following 12 weeks of training (p≥0.001).

12 weeks of physical activity with motor-cognitive approach had a positive effect on response inhibition and sustained attention in children with ADHD. Therefore, it is recommended that children with ADHD participate in physical activities with motor-cognitive approach to improve response inhibition and sustained attention.

Resistance training is a potential stimulus to increase muscle protein synthesis and the time under tension of muscle is one of the variables of strength training that contributes to its adaptation. The aim of this study was to investigate the effect of resistance training with slow and fast speeds on some anabolic and catabolic hormones in healthy young women. 

This quasi- experimental study was conducted on 20 female students (mean age 21.65±2.03 years). The subjects were randomly and equally assigned to two groups with a time under tension of 1s-1s (fast contraction speed (FCS)) and 3s-3s (slow contraction speed (SCS)). The training load was the same in both groups and resistance training was done in a circular manner for six weeks, three days a week in eight stations. Blood samples were taken from the subjects to study the research variables before the training period and 48h after the last session of the training.

There was no significant difference between the serum levels of GH(P = 0.82), IGF-1(P = 0.13) and cortisol(P = 0.59) in both groups, but the levels of myostatin in the fast group increased and in the slow group decreased, and the difference between the two groups was significant (P = 0.04). Also, in the strength test, the slow group experienced further increased strength. (P = 0.02)

Although no significant changes in the levels of IGF-1, myostatin, and cortisol is observed in intragroup comparison at six weeks, resistance training with slow contraction speed can lead to further increases in the growth hormone levels and strength.

Aging and menopause are associated with decreased antioxidant function, however, the role of exercise and estrogen consumption in the health of these people has been shown. The aim of the present study was to investigate the interactive effect of aerobic training (AT) and estrogen (Es) on serum levels of catalase (Cat) and glutathione peroxidase (Gpx) enzymes in ovariectomized rats.

In this experimental study, 45 ovariectomized rats were randomly divided into 5 groups of 9 rats, including (1) control (C), (2) estrogen solvent (sesame oil) (Sh), (3) AT, (4), Es,and (5) AT+Es. Rats in groups 3 and 5 were trained for eight weeks and three sessions, and groups 4 and 5 randomly received 30 micrograms of estradiol valerate daily for eight weeks. Data analysis was analyzed using one-way analysis of variance and Tukey’s post hoc test at the significance level of 0.05.

Cat levels in the AT (P= 0.006), Es (P= 0.005) and AT + Es (P = 0.001) groups were significantly higher than the control group. Cat levels in the AT + Es group were also significantly higher than in the Es group (P = 0.01). Gpx levels in the AT (P = 0.001), S (P = 0.001) and AT + Es (p = 0.001) groups were significantly higher than the control group, while in the S (P = 0.001) and AT + Es (P = 0.001) groups, they were significantly higher than the AT group.

It seems that aerobic training combined with estrogen consumption synergistically improves the function of the antioxidant system in ovariectomized rats. However, it seems that the signaling pathway of interventions requires further study.

Pregnancy, childbirth, and motherhood are processes that have important social and emotional consequences for every woman.  The purpose of this study was to investigate the effect of physical activity on sleep quality of women with Natural Childbirth and cesarean section.

Among women referred to Jahrom Health Center in the year 2017-2018 who had childbirth.  210 volunteers were included in the study (110 normal deliveries, 100 cesarean sections). They were divided into active and inactive groups based on their physical activity. The Petersburg sleep questionnaire was used for data collection.

There was a significant difference between the two groups in daily performance variables (p = 0.005) and total sleep quality score (p = 0.001). It was also found that active women with cesarean section had better condition than inactive women with cesarean section. There was a significant difference between the two groups in the variables of sleep disorders (p = 0.005) and total sleep quality score (p = 0.001).

Exercise and physical activity can have a positive effect on the quality of sleep after postpartum and cesarean section. Findings can inform interventions designed to improve postpartum sleep via increasing opportunities for exercise among postpartum women.

Automatic semantic segmentation of skin lesions is one of the most important medical requirements in the diagnosis and treatment of skin cancer, and scientists always try to achieve more accurate lesion segmentation systems. Developing an accurate model for lesion segmentation helps in timely diagnosis and appropriate treatment.

In this study, a two-stage deep learning-based method is presented for accurate segmentation of skin lesions. At the first stage, detection stage, an approximate location of the lesion in a dermoscopy is estimated using deep Yolo v2 network. A sub-image is cropped from the input dermoscopy by considering a margin around the estimated lesion bounding box and then resized to a predetermined normal size. DeepLab convolutional neural network is used at the second stage, segmentation stage, to extract the exact lesion area from the normalized image.

A standard and well-known dataset of dermoscopic images, (ISBI) 2017 dataset, is used to evaluate the proposed method and compare it with the state-of-the-art methods. Our method achieved Jaccard value of 79.05%, which is 2.55% higher than the Jaccard of the winner of the ISIC 2017 challenge.

Experiments demonstrated that the proposed two-stage CNN-based lesion segmentation method outperformed other state-of-the-art methods on the well-known ISIB2017 dataset. High accuracy in detection stage is of most important. Using the detection stage based on Yolov2 before segmentation stage, DeepLab3+ structure with appropriate backbone network, data augmentation, and additional modes of input images are the main reasons of the significant improvement.