Islamic Azad University North Tehran Branch

Assessing human reliability and estimating evacuation time in hospital emergencies: A Bayesian network and Petri net approach

The complex operational environment of hospitals, characterized by varying patient mobility levels, inconsistent staffing patterns, and resource distribution across departments, creates unique challenges for evacuation planning. This study employs Bayesian networks (BN) to enhanc...

Contemporary global prevalence and genotype distribution of human papillomavirus among female sex workers, 2015–2025: an updated systematic review and meta-analysis

Abstract Background Female sex workers experience disproportionate exposure to human papillomavirus (HPV), but estimates of HPV prevalence and genotype distribution vary according to geography, specimen type, diagnostic method, and genotype coverage. This updated systematic revie...

Bifidobacterium longum prevent the progression of colon cancer via inhibiting metastasis and angiogenesis

Colorectal cancer (CRC) is one of the most common reasons for cancer-related death, and both angiogenesis and metastasis have established roles in CRC progression. Recent findings suggest that probiotics, like Bifidobacterium longum, are capable of suppressing anti-cancer activit...

Analyzing the effects of building density and placement on shading and solar energy reception in residential areas

Abstract One of the significant issues arising from urban density in the present era, in addition to compression and visual obstruction, is the problem of overshadowing. Since casting shadows on neighboring land and buildings can constitute an infringement on their rights to rece...

Analysis of the Interactive Relationships Between Barriers Affecting Patients’ Informed Consent

Introduction Getting informed consent right isn’t just a box to check. It’s a vital part of building trust and ensuring the best possible care. When done well, it can make patients feel more confident and involved in their treatment, which often leads to better outcomes and highe...

Safe and adaptive control of non-stationary stochastic systems via Lyapunov-constrained distributional reinforcement learning

Abstract Non-stationary environments pose significant challenges for reinforcement learning (RL), particularly in safety-critical applications like robotics and energy systems, where adaptability, stability, and robustness to uncertainty are essential. This paper introduces Lyapu...

Plasma p-tau217 as a two-cutoff approach to improve tau-PET screening and trial recruitment in Alzheimer’s disease

Abstract Blood-based biomarkers could broaden access to Alzheimer’s disease diagnostics, but their ability to approximate tau PET, and to address gray-zone results, remains uncertain. We evaluated plasma p-tau217 against tau PET using a harmonized ADNI baseline cohort and an inde...

CortexNet: convolutional neural networks for alzheimer’s disease diagnosis using brain MRI

Alzheimer’s disease is one of the most common degenerative brain diseases, and its early detection plays an important role in improving clinical management, increasing treatment effectiveness, and reducing the consequences of disease progression. In this study, a family of convol...