Introduction: In gynecologic oncology, ovarian cancer is a great clinical challenge. Because of the lack of typical symptoms and effective biomarkers for noninvasive screening, most patients develop advanced-stage ovarian cancer by the time of diagnosis. MicroRNAs (miRNAs) are a type of non-coding RNA molecule that has been linked to human cancers. Specifying diagnostic biomarkers to determine non-cancer and cancer samples is difficult.Methods: By using Boruta, a novel random forest-based feature selection in the machine-learning techniques, we aimed to identify biomarkers associated with ovarian cancer using cancerous and non-cancer samples from the Gene Expression Omnibus (GEO) database: GSE106817. In this study, we used two independent GEO data sets as external validation, including GSE113486 and GSE113740. We utilized five state-of-the-art machine-learning algorithms for classification: logistic regression, random forest, decision trees, artificial neural networks, and XGBoost.Results: Four models discovered in GSE113486 had an AUC of 100%, three in GSE113740 with AUC of over 94%, and four in GSE113486 with AUC of over 94%. We identified 10 miRNAs to distinguish ovarian cancer cases from normal controls: hsa-miR-1290, hsa-miR-1233-5p, hsa-miR-1914-5p, hsa-miR-1469, hsa-miR-4675, hsa-miR-1228-5p, hsa-miR-3184-5p, hsa-miR-6784-5p, hsa-miR-6800-5p, and hsa-miR-5100. Our findings suggest that miRNAs could be used as possible biomarkers for ovarian cancer screening, for possible intervention.

Postbiotics are soluble metabolites that are liberated from the structure of lysing bacteria or are produced by live bacteria; these byproducts give the host increased biological activity and certain physiological effects. In the current study, the anti-Staphylococcus properties of postbiotics isolated from Lactobacillus acidophilus,L.paracasei,and L.plantarum were investigated in vitro, and pasteurized milk. Potential activity of postbiotics was performed via agar-disk diffusion method. Besides, the effect of heat and pH on the postbiotics antibacterial activity was measured via the agar-well diffusion method. To determine the antioxidant effect and the free radical scavenging potential of the postbiotics, 1,1-Diphenyl-2-picrylhydrazyl (DPPH) method was utilized. The postbiotics chemical composition was identified via gas chromatography-mass spectrometry. The antibacterial activity was mainly associated with lactic acid, laurostearic acid, and isopropylidene-3,3-dimethyl. Also, postbiotics showed strong antioxidant activity. Postbiotics derived from L.plantarum showed the highest antioxidant properties compared to L.paracasei and L.acidophilus. Lower minimum effective concentrations of postbiotic were altered in food model, and substantially, a low minimum effective( MEC) concentrations index (15 mg/mL) was identified for postbiotic of L.plantarum. The Lactobacillus spp. postbiotic, in particular L.plantarum, may have useful functional characteristics (possible antibacterial and antioxidant) in in vitro and food model.

Background: Standard precautions (SPs) including hand hygiene are considered fundamental protective measures to manage health care-associated infections (HCAIs) and to reduce occupational health hazards. The purpose of this research was to examine the effectiveness of an infection control link nurse (ICLN) program on compliance with SPs and hand hygiene among nurses. Methods: A quasi-experimental study with a pretest-post-test design was conducted with participating of 154 clinical nurses who worked in different wards of a tertiary referral teaching hospital in Iran. The intervention group (n = 77) had 16 infection control link nurses nominated. The control group (n = 77) received only the standard multimodal approach used in the hospital. Pre- and post-test assessment of compliance with standard precautions and hand hygiene compliance was performed via the Compliance with Standard Precautions Scale (CSPS) and the World Health Organization observational hand hygiene form. Two independent sample t-tests were used to examine differences between Compliance with Standard Precautions and hand hygiene Compliance among nurses in intervention and control group. Multiple linear regression analysis was used to assess the effect size. Results: After developing and implementing the infection control link nurse program, no statistically significant improvement was found in the Compliance with Standard Precautions (β = 5.18; 95% CI= -0.3–10.65, p = 0.064). An improvement in hand hygiene compliance was observed among nurses in the intervention group that improved statistically significant from 18.80% before the program to 37.32% 6 months after the program (β = 20.82; 95% CI 16.40–25.25, p < 0.001). Conclusions: Given the continuing level of interest that exists in improving health care workers’ hand hygiene practices, the findings of this study provide significant practical implications for hospitals seeking to improve compliance with hand hygiene among nurses, showing the effectiveness of using infection control link nurse program. Further research is needed to assess effectiveness of using infection control link nurse program to improve compliance with standard precautions.

Aim: This study aimed to accurately identification of potential miRNAs for gastric cancer (GC) diagnosis at the early stages of the disease.Methods: We used GSE106817 data with 2,566 miRNAs to train the machine learning models. We used the Boruta machine learning variable selection approach to identify the strong miRNAs associated with GC in the training sample. We then validated the prediction models in the independent sample GSE113486 data. Finally, an ontological analysis was done on identified miRNAs to eliciting the relevant relationships.Results: Of those 2,874 patients in the training the model, there were 115 (4%) patients with GC. Boruta identified 30 miRNAs as potential biomarkers for GC diagnosis and hsa-miR-1343-3p was at the highest ranking. All of the machine learning algorithms showed that using hsa-miR-1343-3p as a biomarker, GC can be predicted with very high precision (AUC; 100%, sensitivity; 100%, specificity; 100% ROC; 100%, Kappa; 100) using with the cut-off point of 8.2 for hsa-miR-1343-3p. Also, ontological analysis of 30 identified miRNAs approved their strong relationship with cancer associated genes and molecular events.Conclusion: The hsa-miR-1343-3p could be introduced as a valuable target for studies on the GC diagnosis using reliable biomarkers.

Aim: To investigate the association between the nurses’ perception of the public image (PI) of nursing and the quality of nursing work life (QNWL).Design: A descriptive correlational study.Methods: 250 nurses of 12 hospitals affiliated with Tabriz University of Medical Sciences were sampled using a proportionate stratified sampling technique. Porter Nursing Image Scale and Brooks QNWL Scale were used for collecting data.Results: There was a significant positive correlation between nurses’ perception of their public image and QNWL (r = .158, p = .012). Nurses’ perception of their PI along with other significant predictors including gender, age, position, work shifts, residency, financial status, level of family support, spouse's education and spouse's job significantly explained 15.2% of the predictability of QNWL (F_(10,175) = 3.017, p = .001). Findings imply that enhancement of nurses' psychological status (nurses' perception of the public image of their profession) may improve their functional status (quality of nursing work life).

Aims: This article reports on a study investigating the self‐assessed clinical competence of new nurses working in emergency departments.Design: A quantitative approach using descriptive cross‐sectional survey design was employed.Methods: The clinical competency of the participants was assessed using the Competency Inventory for Registered Nurse questionnaire, which contains the seven dimensions of clinical care, leadership, interpersonal relations, legal/ethical, professional development, teaching/coaching and critical thinking/research aptitude. Data from 115 new nurses employed in emergency departments of nine selected university hospitals in the northwest of Iran were collected by the Competency Inventory for Registered Nurse (CIRN) from December 2018–May 2019 and analysed.Results: The mean clinical competency for the total scale was 155.7 (SD32.9), indicating a moderate competency. The most highly self‐rated competency was legal/ethical practice, and the least rated was critical thinking–research aptitude.