Ardabil University of Medical Sciences is a medical university in Ardabil Province of Iran established in 1993. This university has over than 3400 students are studying in six Schools in Ardabil city including Medicine, Dentistry, Pharmacy, Nursing & Midwifery, health and international Pardis schools. In addition, there are two academic units in other cities of Ardabil province including, nursing college of Germi, health educational institution of Meshkinshahr..
This study developed stable, hybrid polyvinyl alcohol/zinc oxide nanoparticle (PVA/ZnO-NPs) nanofibers as wound dressing scaffolds via blend-electrospinning. To evaluate their drug-delivery potential, vancomycin (VAN) was incorporated at concentrations of 1, 3, and 5
Surface plasmon resonance (SPR) has emerged as an important optical technology for the real-time, label-free analysis of biomolecular interactions. While its utility in detecting single analytes is well-established, the growing complexity of disease diagnostics demands tools capable of simultaneous multi-analyte detection. Many complex diseases, such as cancer, involve multiple biomarkers. Conversely, a single biomarker can be associated with several different diseases. This review article focuses specifically on recent advances in multiplex detection of biomarkers using SPR-based biosensors. We delve into the mechanisms and materials that enable multiplexing across various SPR platforms, including traditional prism-based SPR, localized surface plasmon resonance (LSPR), and SPR imaging (SPRi). The review highlights how these techniques overcome the limitations of single-analyte assays by providing a more comprehensive disease profile through the concurrent measurement of multiple biomarkers and their ratios. Key applications in medical diagnostics, employing immunosensor, aptasensor and protein-based assays, are examined to illustrate the performance of current multiplex SPR systems. This work concludes by discussing the implementation of machine learning in SPR-based detection, comparing various SPR biosensing techniques, and identifying future directions for enhancing sensor performance, analysis in complex matrices, and the expansion of multiplex SPR applications.
With a five-year survival rate near 10
Breast cancer is a leading cause of cancer-related mortality. The proliferation of breast cancer cells is linked to estrogen. The aromatase enzyme plays a crucial role in the biosynthetic conversion of androgen to estrogen. Aromatase facilitates the proliferation of hormone-receptor-positive breast cancer cells. Targeting aromatase is a significant treatment approach for breast cancer. Despite the efficacy of prevalent aromatase inhibitors (AIs) such as exemestane, anastrozole and letrozole, alternate signaling pathways and mutations in the estrogen receptor gene are triggered by medication resistance. This paper aims to develop small molecules that may block aromatase with better affinity than the existing medications. To achieve this objective, prevalent AIs and an extensive array of structural analogues (1.3x106 compounds) underwent an automated high-throughput computational analysis through in silico filtration, docking and molecular dynamic (MD) simulations. Sequential filtration resulted in the selection of a nonsteroidal small molecule with PubChem compound identifier (PubChem CID 92217720) as the most promising pharmacological analogue for further development in the treatment of breast cancer. While additional advancements are expected from experimental improvements, automated approaches would facilitate the rapid screening of extensive chemical datasets with regard to the biological or pharmacological contexts.
Background: Family involvement is increasingly recognized as vital in delivering holistic and patient-centered nursing care. However, the extent to which nurses perceive the importance and impact of families on parental satisfaction (PS) is poorly understood. Objectives: The present study aimed to investigate the relationship between the perceived importance of family in nursing care, PS, and associated sociodemographic and occupational factors. Methods: A cross-sectional study design was employed between August 2023 and January 2025 at BouAli Hospital in Ardabil city, involving 200 nurses and 160 parents of hospitalized children. The participants were selected through a census and stratified random sampling, respectively. Data were collected using two valid questionnaires: Families' Importance in Nursing Care-Nurses' Attitudes (FINC-NA) and Parental Satisfaction and Its Associated Factors (EMPATHIC-N). Data were analyzed using SPSS version 24, employing descriptive and inferential statistics (correlation and linear regression), with a significance level of P < 0.05. Results: Among the participants, 180 (90%) of nurses and 152 (95%) of parents reported their participation rate as average. The Pearson correlation test revealed a strong and statistically significant relationship between the subcomponents of FINC-NA and EMPATHIC-N (r = 0.509, P < 0.001). The results of the linear regression test showed that the predictor variables [(family as a resource (Fam-OR), family as a conversational partner (Fam-CP), family as a resource in nursing care (Fam-RNC), family as a burden (Fam-B)] accounted for 27.4% of the variance in PS. Conclusions: The findings demonstrate a strong and significant correlation between the importance of families in nursing care and PS. Most nurses and parents reported average participation rates. The regression analysis results suggest that promoting family involvement in nursing care can lead to enhanced PS.
