فناوری

Background and Aim: Coronavirus disease 2019 (COVID-19) pandemic has caused a great deal of conflict and tension between couples and their families. Meanwhile, less attention has been paid to potential tensions and conflicts in families exposed to high stress, such as military families. Therefore, this study was conducted to investigate the effect of cognitive-behavioral therapy on changing the conflict resolution styles in military personnel and their spouses during the COVID-19 pandemic.
Methods: In this quasi-experimental study, 66 military personnel and their spouses were included. They were then assigned to the case (n = 32) and the control (n = 34) groups using block randomization method. Data were collected by using a demographic information form and Rahim Organizational Conflict Inventory-II. The later
form was completed before, immediately after, and one month after the intervention. Cognitive-behavioral therapy was presented to the case group during 9 sessions. Each session lasted 90 minutes. The Control group underwent no intervention. Independent t-test, Chi-square, and Fisher's exact test were used to analyze the data by SPPSS
software (version 22).
Results: The results showed that the use of non-constructive conflict resolution style was significantly reduced in the case group compared to the control group (P<0.001) after the implementation of cognitive-behavioral therapy. In addition, it was found that the use of constructive conflict resolution style increased significantly in
the case group compared to the control group (P<0.001).
Conclusion: Our findings suggested that cognitive-behavioral therapy reduced the use of non-constructive conflict resolution style but increased the use of constructive conflict resolution style among military personnel and their spouses.

Abstract:
BACKGROUND: The use of artificial intelligence (AI) in medical sciences promises many benefits.
Applying the benefits of this science in developing countries is still in the development stage. This
important point depends considerably on the knowledge and acceptance levels of physicians.
MATERIALS AND METHODS: This study was a cross‑sectional descriptive–analytical study
that was conducted on 169 medical doctors using a purposive sampling method. To collect data,
questionnaires were used to obtain demographic characteristics, a questionnaire to investigate the
knowledge of AI and its applications, and an acceptability questionnaire to investigate AI. For data
analysis, SPSS (Statistical Package for the Social Sciences) version 22 and appropriate descriptive
and inferential statistical tests were used, and a significance level of < 0.05 was considered.
RESULTS: Most of the participants (102) were male (60.4%), married (144) (85.20%), had specialized
doctorate education (97) (57.4%), and had average work experience of 10.78 ± 6.67 years. The mean
and standard deviation of knowledge about AI were 9.54 ± 3.04, and acceptability was 81.64 ± 13.83.
Multiple linear regressions showed that work history (P = 0.017) and history of participation in AI
training courses (P = 0.007) are effective in knowledge and acceptability of AI.
CONCLUSION: The knowledge and acceptability of the use of AI among the studied physicians were
at an average level. However, due to the importance of using AI in medical sciences and the inevitable
use of this technology in the near future, especially in medical sciences in crisis, war, and military
conditions, it is necessary for the policymakers of the health system to improve the knowledge and
methods of working with this technology in the medical staff in addition to providing the infrastructure.
Keywords:
Artificial intelligence, health personnel, knowledge

Background and Aims: Students in military environments often face unique pressures and stressors. This study aimed to
assess the levels of aggression and the coping strategies employed under stressful conditions among students at Aja University
of Medical Sciences in Tehran, Iran.
Methods: This descriptive‐analytical study was conducted during the first half of 2023 on 314 students from a military
university. A purposeful, criterion‐based sampling method was used. Data were collected using three standardized instruments:
the Aggression Questionnaire by Eysenck and Glenn Wilson (1975), the Stress Coping Strategies Questionnaire by Endler and
Parker (1990), and a demographic information questionnaire. Statistical analysis was performed using SPSS software
(Version 21), with a significance level set at p < 0.05 for all tests.
Results: The study revealed that over 12% of the students exhibited high levels of aggression. The majority of participants
(61.5%) employed task‐oriented coping strategies. Statistically significant relationships were found between aggression and
several variables, including gender, academic semester, concurrent employment, a history of depression, and the use of tobacco
and alcohol. No significant associations were observed between aggression and factors such as age, marital status, field of study,
place of residence, or history of acute or chronic illness. Regarding coping strategies, students primarily relied on task‐oriented
coping (61.5%), followed by emotion‐oriented coping (24.8%) and avoidance‐oriented coping (10.2%). Task‐oriented coping was
significantly associated with a history of antidepressant use. Emotion‐oriented coping correlated significantly with academic
semester, a history of depression, chronic physical illness, and the use of alcohol or tobacco. Avoidance‐oriented coping was
significantly associated with gender, place of residence, a history of depression, and the use of alcohol or tobacco.
Conclusion: The average aggression score among students was moderate. Given the demanding military environment of their
education, there is a clear need to address aggression through targeted interventions. Structured anger management workshops
and training programs are recommended to mitigate aggressive behavior and promote healthier coping mechanisms.

Background and Aims
The prospect of using artificial intelligence (AI) in healthcare is bright and promising, and its use can have a significant impact on cost reduction and decrease the possibility of error and negligence among healthcare workers. This study aims to investigate the level of knowledge, attitude, and acceptance among Iranian physicians and nurses.

Methods
This cross-sectional descriptive-analytical study was conducted in eight public university hospitals located in Tehran on 400 physicians and nurses. To conduct the study, convenient sampling was used with the help of researcher-made questionnaires. Statistical analysis was done by SPSS 21 The mean and standard deviation and Chi-square and Fisher's exact tests were used.

Results
In this study, the level of knowledge among the research subjects was average (14.66 ± 4.53), the level of their attitude toward AI was relatively favorable (47.81 ± 6.74), and their level of acceptance of AI was average (103.19 ± 13.70). Moreover, from the participant's perspective, AI in medicine is most widely used in increasing the accuracy of diagnostic tests (86.5%), identifying drug interactions (82.75%), and helping to analyze medical tests and imaging (80%). There was a statistically significant relationship between the variable of acceptance of AI and the participant's level of education (p = 0.028), participation in an AI training course (p = 0.022), and the hospital department where they worked (p < 0.001).

Conclusion
In this study, both the knowledge and the acceptance of the participants towards AI were proved to be at an average level and the attitude towards AI was relatively favorable, which is in contrast with the very rapid and inevitable expansion of AI. Although our participants were aware of the growing use of AI in medicine, they had a cautious attitude toward this.

Introduction: Diabetes and the wounds caused by it are considered to be one of
the most important health and treatment issues in the world, which impose a high
economic burden on the society, therefore, effective measures to heal diabetic wounds
are of great importance.
Objective: The aim of this study was determining the effect of Polyurethane contains
silver particles dressing on the healing process in diabetic foot ulcers in patients
admitted to Shahid Dr. Chamran Hospital.
Material and Methods: This study was a randomized clinical trial that was conducted
on patients with diabetic foot ulcers who referred to the wound clinic department of
Shahid Dr. Chamran military Hospital in Tehran in 2021-2022. A total of 48 eligible
patients were selected with informed consent and randomly assigned to the intervention
and control groups with block randomization. In the intervention group, polyurethane
foam dressing containing silver particles was used for diabetic wounds, and in the
control group, routin sterile dressing was used for dressing. The size, depth and degree
of infection were checked on the first, seventh, fourteenth and twenty-second days
after the start of dressing in both groups. Demographic information form and BatesJenson wound assessment checklist were used to collect data. Data were analyzed with
SPSS version 21 software and statistical tests using repeated measures, Chi-square,
Fisher and independent t -Test.
Results: There was no significant difference in the evaluation process of the wound
before the intervention in the two groups (P=0.418). However, there was no change
after the intervention (P=0.02). Also the severity of the wound before the intervention
was not significantly different in the two groups (P=0.231), but it changed after the
intervention (P=0.049).
Conclusion: Polyurethane dressing containing silver particles was more effective on
the healing process of diabetic wounds of patients than simple sterile dressing. It is
recommended that nurses use the above dressing in addition to simple sterile dressings
for faster treatment of diabetic foot wounds