Medical students' perspectives of reflection for their professional development.

Background: Reflection is a critical component of learning which plays a significant role in improving knowledge and skills. It is a metacognitive process that aims to create a deeper understanding of the situation. This study sought to explore the perspectives of medical students concerning the role of reflection in their professional development.

Impact of maternal psoriasis on adverse maternal and neonatal outcomes: a systematic review and meta-analysis.

Background: There is a dearth of robust evidence regarding the correlation between psoriasis with maternal and neonatal outcomes, making it challenging to establish definitive recommendations for the management of these patients. This systematic review and meta-analysis aimed to review the evidence with regard to the impact of maternal psoriasis on maternal and neonatal outcomes.

Methods: Following the PRISMA guideline, a systematic search of English articles using PubMed, Embase, Scopus, ScienceDirect, Web of Science, Google Scholar, and the Cochrane Library was conducted.

The prevalence and predictors of herb-drug interactions among Iranian cancer patients during chemotherapy courses.

Background: The concurrent usage of herbal medicines with conventional therapies is an important concern in cancer treatment which can lead to unexpected consequences like herb-drug interactions. This study aimed to determine the prevalence of potential herb-drug interactions and to predict factors associated with herb-drug interactions for cancer patients.

Methods: This cross-sectional study was conducted among a convenience sample of 315 cancer patients referring to the oncology clinics of Kerman city in 2018.

MCNPX simulation and experimental validation of an unmanned aerial radiological system (UARS) for rapid qualitative identification of weak hotspots.

Nuclear threats such as dirty bombs and illicit trafficking of radioactive sources are major concerns of humanity. Fast detection and accurate localization of radioactive material out of regulatory control (MORC) by autonomous and semi-autonomous monitoring systems like robots can help to reduce radiation exposure to the public and workers, and it will improve security and peace in the world. This study proposes an autonomous radiological monitoring system consisting of a 2-inch NaI detector coupled to a PM tube and mounted on a multi-rotor UAV to detect radioactive sources.

Detecting and tracking multiple mobile radioactive sources by data fusion of a surveillance camera and a sodium iodide (NaI) detector.

Nowadays, the use of radioactive materials has increased due to recent progress in nuclear technology, but concerns about the missing or smuggling of radioactive materials have persisted. Nuclear threats such as terrorist attacks or the malicious use of radioactive materials out of regulatory control (MORC) are always severe problems that can result in adverse environmental, health, economic, and security effects. Applying new technologies to monitor and track MORC will prevent radioactive materials from being illegally transported across borders or from one place to another.

Experimental investigation and simultaneous modeling of the effect of methylene blue addition to cancer tumors in photodynamic therapy by digital holography.

Background: Although many types of cancers can be treated with surgery, alternatives such as photodynamic therapy with simultaneous use of photosensitive materials and illumination can also be used. Knowing the dose of absorbed energy from the light beam in the photo-sensitized tumors and tissues has an important role in designing the optimal irradiation method with the aim of investigating the amount of received damage to the healthy and tumor tissues.

Methods: In this study, the effect of the presence of methylene blue sensitizer on the amount of dose received in tissue-equivalent material has been investigated experimentally by Mach-Zehnder interferometry and digital holography.

The Prevalence of Polypharmacy and Potential Drug-Drug Interactions among Iranian Cancer Patients: Which Patients were at Risk?

Introduction: Drug-Drug interactions (DDIs) are one of the considerable consequences of polypharmacy. Due to the influence of polypharmacy and drug interactions on cancer treatment and patients` health outcomes, this study aimed to determine the prevalence of polypharmacy and potential DDIs among adult cancer patients in Kerman province, southeast of Iran.

Methods: In this cross-sectional study, 315 cancer patients who referred to Kerman city oncology clinics were assessed in 2018.

Challenges and strategies of clinical rounds from the perspective of medical students: A qualitative research.

Introduction: Clinical rounds provide opportunities for medical students to acquire essential skills to practice medicine in the real world. Although this kind of training is one of the most important components of medical education, it is replete with barriers in its effective implementation. This study aimed to investigate medical students' experiences concerning the barriers and strategies of clinical rounds in Kerman University of Medical Sciences (KMU).

A New Optical Method for Online Monitoring of the Light Dose and Dose Profile in Photodynamic Therapy.

Background And Objectives: Photodynamic therapy (PDT) has gained widespread popularity in the last decades because of its distinctive advantages over the other commonly used cancer treatments. PDT dosimetry is a crucial factor in achieving a good optimization of PDT treatment planning. PDT dosimetry is a complex task since light dose as well as photosensitizer and oxygen concentrations in tissue need to be measured (ideally continuously) to be able to fully characterize the biological response.

Strategies for teaching in clinical rounds: A systematic review of the literature.

Background: Strategies for teaching in clinical rounds are dispersed. There is a need to comprehensively collate bedside strategies to enhance teaching and learning and make clinical rounds more effective.

Materials And Methods: A systematic review of English articles using Web of Science, PubMed, Embase, Scopus, and Cochrane library was conducted.

Identifying the challenges to good clinical rounds: A focus-group study of medical teachers.

Introduction: The use of clinical rounds, as an integral part of clinical teaching to help medical students acquire essential skills of practicing medicine, is critically important. An understanding of medical teachers' perceptions concerning the challenges of clinical rounds can help identify the key areas of focus to better foster professional development of medical students. This study explored the opinions of medical teachers of Kerman University of Medical Sciences about the challenges embedded in clinical rounds.

The perspective of medical students regarding the roles and characteristics of a clinical role model.

Background: As medical students spend most of their time with their clinical teachers and imitate their roles and characteristics during the school year, it is important to identify the roles and characteristics that they find essential in their role models. These traits play a part in their future professions as doctors.

Objective: The aim of this study was to determine the perspective of students, interns, and residents regarding the roles and characteristics of a clinical role model.

Effect of high energy electron beam (10MeV) on specific heat capacity of low-density polyethylene/hydroxyapatite nano-composite.

In the present work, thermal properties of low density polyethylene (LDPE) and its nano composites are investigated. For this purpose LDPE reinforced with different weight percents of hydroxyapatite (HAP) powder which was synthesized via hydrolysis method are produced. The samples were irradiated with 10MeV electron beam at doses of 75 to 250kGy.

Factors associated with students' perceptions of role modelling.

Objectives: To determine which professional and humanistic attributes demonstrated by teachers in the health disciplines caused them to be perceived by students as positive or negative role models.

Methods: Quantitative empirical data were gathered using a self-administered questionnaire by graduating students in medical, dentistry, and pharmacy schools at Kerman University of Medical Sciences. A total of 3 graduating cohorts, comprising about 220 students, were selected for this study.

Machine learning models in breast cancer survival prediction.

Background: Breast cancer is one of the most common cancers with a high mortality rate among women. With the early diagnosis of breast cancer survival will increase from 56% to more than 86%. Therefore, an accurate and reliable system is necessary for the early diagnosis of this cancer.