Deep-sea vessels use various navigational aids like AIS (automatic identification system), ECDIS (electronic chart display and information system), radar, GPS (global positioning system), and etc. vessels use AIS to communicate their navigational characteristics, destinations, and load information. Such data are very helpful for vessel officers; therefore, AIS can be used for communicating the name and position of the vessel as well as navigational signs in the port area. So, this system is very helpful in improving the quality of pilotage as well as improving the safety of navigation in canals like Khur Musa.

Purpose: The purpose of this applied research is to study the effectiveness of gamification on corporate training.  Methodology: A gamified course was designed and implemented to train the location of Fire Hosing Cabinet for 24 employees of a firefighting maintenance company in Iran Mall shopping Center in Tehran. Using a quantitative quasi-experimental research plan (post-test only control group design) the participants of the study were randomly assigned to treatment (12) and control (12) groups and trained for a week.  Conclusion: The descriptive and interpretive result of the posttest analyses indicated the effectiveness of gamification of the training performed for the employees of the firefighting maintenance company in Iran Mall shopping Center in Tehran. Moreover, the descriptive result of Gamification Acceptance Questionnaire answered by the members of the experimental group after gamified training indicated that all the participants in the experimental group were satisfied with the gamified training course.

This document presents the design of a virtual robotic system for the supervision of physical training exercises, to be carried out in a closed environment, which only requires a computer equipment with a web camera. To do this, deep learning algorithms such as convolutional networks and short- and long-term memory networks are used to recognize voice commands and the user's video actions. A predefined dialogue template is used to guide a user's training cycle based on the execution of the exercises: push-ups, abdominal, jump or squat. The contribution of the work focuses on the integration of deep learning techniques to design and personalize virtual robotic assistants for everyday task. The results show a high level of accuracy by the virtual robot both in understanding the audio and in predicting the exercise to be performed, with a final accuracy value of 97.75% and 100%, respectively.

Background and Objective: Colon cancer is one of the most prevalent cancers among different societies around the world for which some diagnostic modalities have been developed. With CT colonography there is the possibility of observing extracolonic findings which might have significant clinical importance. Here we evaluated the frequencies of extracolonic findings. Subjects and Methods: This cross sectional study was performed from 2016 to 2019 in Isfahan on 402 patients with colon problems who had CT colonography imaging. Data regarding on extracolonic findings with moderate to significant importance were collected by questionnaire from patients ct reports and analyzed. Results: There were significant relationships between total extracolonic findings and findings with moderate importance like: (Abdominal aortic aneurysm below5, Ovarian lesion possibly just a cyst, Lung nodule. Hydronephrosis likely chronic puj, Mesenteric penniculitis, Pancreas cysts, Psoas asymmetry Small pericardial effusion, Small kidney possible renal artery stenosis, Mild porcelain gallbladder) as well as with age These findings were more frequent at older ages (P <0. 001). Discussion: Generally, these results indicated that CT colonography in patients with colon problems especially patients at older ages might lead to find extracolonic findings with high importance like: ( Possible malignancy e, g lung or solid organ mass lymphadenopathy, Abdominal aortic aneurysm more than 5, Bone fracture, Adrenal hemmorhage, Pneumonia, Considerable hydronephrosis, Bone lesion Appendix mucinous tumour, Diverticulitis with abcess or perfusion, Severe porcelain gall bladder).