Level of Creative Behavior among Teachers of Public Schools within the Green Line from their Perspective

The current study seeks to identify the level of creative behavior among teachers of public schools within the Green Line, based on gender, academic qualification, years of experience and level of school. The sample consisted of (502) teachers, selected randomly, from public schools within the Green Line in Israel. The tool utilized is a questionnaire for Creative Behavior consisting of (33) items distributed to five domains: fluency, flexibility, originality, elaboration and sensitivity to the problems. The results showed that the practice of creative behavior among teachers is high, and the results indicated that there are statistically significant differences in creative behavior in public schools due to the impact of gender in the domains of flexibility and sensitivity to the problems in favor of male teachers, but due to academic qualification and years of experience in the domain of originality in favor of bachelor and master holders and experience (5-10 years), and due to level of school in the domain of fluency in favor of prep school; and in favor of primary and prep school in the domain of elaboration. In light of the given findings, the study recommended that creative behavior among teachers must be domestically and regionally developed by improving social and economic conditions for teachers to meet the requirements of life. Keywords: creative behavior, public schools, Green Line, teachers.

Mental health status of healthcare professionals and students of health sciences faculties in Kuwait during the COVID-19 pandemic

Objectives: This study aimed to assess the impact of the COVID-19 pandemic on the mental health status of healthcare professionals (HCPs) and undergraduate students in the health sciences center (HSCUs). In addition, it explored the factors associated with the increased levels of mental health burden among the study population. Methods: A cross-sectional study was performed using two online-administered questionnaires: the Patient Health Questionnaire (PHQ-9) and the Generalized Anxiety Disorder 7-item (GAD-7), which were distributed in parallel to HCPs and HSCUs in Kuwait. These instruments are validated assessment scales to assess mental health status: depression (PHQ-9) and anxiety (GAD-7). Statistical analyses were carried out using SPSS- version 25. Results: A total of 857 individuals (559 HCPs and 298 HSCUs) participated in this study. The prevalence of moderately severe depression or severe depression (PHQ-9 total score of ≥15) among respondents was 66.6%. The median (interquartile range, IQR) PHQ-9 score was significantly higher among HSCUs (20 {11.5}) compared to HCPs (17 {8}). The prevalence of severe anxiety (GAD-7 total score of ≥15) among respondents was 36.7%. There were no significant differences between the median (IQR) GAD-7 scores among the HCPs (14 {7}) and HSCUs (13 {8}). Binary logistic regression analysis revealed that three variables were significantly and independently associated with severe depression among HCPs. The prevalence of severe depression was found to be greater among females compared to males. In addition, it was significantly lower among those who were aged ≥50 years, and those who reported that they were not in direct contact with COVID-19 patients. Among HSCUs, females showed greater depression than males. In contrast, those aged >29 years and who had no history of chronic disease showed lower depression compared to their counterparts in the 18–29 years age group and who had a chronic disease history. Conclusions: The COVID-19 pandemic had a significant negative impact on the mental health of HCPs and HSCUs in Kuwait. This highlights the need for proactive efforts to support their mental health and well-being through educational campaigns and psychological support programs

The impact of income diversification on the stability of listed Jordanian commercial banks during the COVID-19 pandemic

This study investigates the impact of the COVID-19 pandemic on the relationship between income diversification and bank stability among Jordanian commercial banks listed on the Amman Stock Exchange (ASE), using a panel Autoregressive Distributed-Lagged Model (panel-ARDL) and quarterly data from 2015 to 2021. The findings demonstrate that during the COVID-19 period, a higher proportion of non-interest income, resulting from income diversification, enhances bank stability. However, considering the entire sample period, the results suggest a potential deterioration in bank stability when banks diversify towards non-interest income, aligning with the negative effect observed in the literature. Additionally, the study identifies factors such as bank size, liquidity, loan loss provisions, cost efficiency, and the deposit ratio, which influence bank stability. These findings hold significant implications for policymakers and banks in developing countries concerned about the impact of income diversification on bank stability. They also offer valuable insights to understanding the dynamics of income diversification and its implications for bank stability in the context of the COVID-19 pandemic

Concurrent Use of Oral Anticoagulants and Sulfonylureas in Individuals With Type 2 Diabetes and Risk of Hypoglycemia: A UK Population-Based Cohort Study

OBJECTIVE: To investigate the association of concurrent use of oral anticoagulants (OACs) and sulfonylureas and the risk of hypoglycemia in individuals with type 2 diabetes mellitus (T2DM). RESEARCH DESIGN AND METHODS: A retrospective cohort study was conducted between 2001 and 2017 using electronic primary healthcare data from the IQVIA Medical Research Data (IMRD) that incorporates data supplied by The Health Improvement Network (THIN), a propriety database of Cegedim SA. Individuals with T2DM who received OAC prescription and sulfonylureas were included. We compared the risk of hypoglycemia with sulfonylureas and OACs using propensity score matching and Cox regression. RESULTS: 109,040 individuals using warfarin and sulfonylureas and 77,296 using direct oral anticoagulants (DOACs) and sulfonylureas were identified and included. There were 285 hypoglycemia events in the warfarin with sulfonylureas group (incidence rate = 17.8 per 1,000 person-years), while in the sulfonylureas only, 304 hypoglycemia events were observed (incidence rate = 14.4 per 1,000 person-years). There were 14 hypoglycemic events in the DOACs with sulfonylureas group (incidence rates = 14.8 per 1,000 person-years), while in the sulfonylureas alone group, 60 hypoglycemia events were observed (incidence rate =23.7 per 1,000 person-years). Concurrent use of warfarin and sulfonylureas was associated with increased risk of hypoglycemia compared with sulfonylureas alone (HR 1.38; 95% CI 1.10–1.75). However, we found no evidence of an association between concurrent use of DOACs and sulfonylureas and risk of hypoglycemia (HR 0.54; 95% CI, 0.27–1.10) when compared with sulfonylureas only. CONCLUSIONS: We provide real-world evidence of possible drug-drug interactions between warfarin and sulfonylureas. The decision to prescribe warfarin with coexistent sulfonylureas to individuals with T2DM should be carefully evaluated in the context of other risk factors of hypoglycemia, and availability of alternative medications

Predictive values of ultrasound-based scoring system in morbidly adherent placenta for high risk group

Background: The objective of the present study was to find out the predictive values of an ultrasound-based scoring system in diagnosis of morbidly adherent placenta (MAP) for high risk group. Obstetrics and Gynecology Department, Faculty of Medicine, South Valley University, Egypt.Methods: 63 full term pregnant women (≥37 weeks of gestation) with high risk of morbidly adherent placenta underwent elective cesarean section. Placental assessment by 2 D ultrasound based on ultrasound scoring system in morbidly adherent placenta, these data were recorded for further comparison with intraoperative data for degree of placental adherence.Results: Incidence of MAP was 7.93% (4.76% had a focal form and 3.17% had a complete form of accreta). As regarding to scoring system, 82.5 of cases had a low risk (< 5), 9.5% had a moderate risk (6-7) and 7.93% had a high risk (8-12) of development of morbidly adherent placenta with p value <0.0001. The sensitivity, specificity, positive and negative predictive values of the US scoring system for morbidly adherent placenta were (92.3%, 94.1%, 87.453% and 98.2%) respectively.Conclusions: Ultrasound based scoring system had a high predictive value (sensitivity, specificity, positive and negative predictive values) in diagnosis of morbidly adherent placenta for pregnant women have any risk factors for developing MAP

DASS Good: Explainable Data Mining of Spatial Cohort Data

Developing applicable clinical machine learning models is a difficult task when the data includes spatial information, for example, radiation dose distributions across adjacent organs at risk. We describe the co-design of a modeling system, DASS, to support the hybrid human-machine development and validation of predictive models for estimating long-term toxicities related to radiotherapy doses in head and neck cancer patients. Developed in collaboration with domain experts in oncology and data mining, DASS incorporates human-in-the-loop visual steering, spatial data, and explainable AI to augment domain knowledge with automatic data mining. We demonstrate DASS with the development of two practical clinical stratification models and report feedback from domain experts. Finally, we describe the design lessons learned from this collaborative experience.Comment: 10 pages, 9 figure

Hospitalisations related to administration errors of psychotropic drugs: a nationwide retrospective study between 1998 and 2019 in Australia

Objectives: Medication administration error occurs when there is a discrepancy between what the patient received or was planned to receive and what the doctor originally intended. The aim of this study was to examine the trends in hospitalisation related to administration errors of psychotropic drugs in Australia.Materials and Methods: This was a secular trend analysis study that examined the hospitalisation pattern for medication administration errors of psychotropic drugs in Australia between 1998 and 2019. Data on medication administration errors of psychotropic drugs was obtained from The National Hospital Morbidity Database. We analysed the variation in hospitalisation rates using the Pearson chi-square test for independence.Results: Hospitalisation rates related to administration errors of psychotropic drugs increased by 8.3% [from 36.22 (95% CI 35.36—37.08) in 1998 to 39.21 (95% CI 38.44—39.98) in 2019 per 100,000 persons, p &lt; 0.05]. Overnight-stay hospital admission patients accounted for 70.3% of the total number of episodes. Rates of same-day hospitalisation increased by 12.3% [from 10.35 (95% CI 9.90—10.81) in 1998 to 11.63 (95% CI 11.21—12.05) in 2019 per 100,000 persons]. Rates of overnight-stay hospital admission increased by 1.8% [from 25.86 (95% CI 25.13—26.59) in 1998 to 26.34 (95% CI 25.71—26.97) in 2019 per 100,000 persons]. Other and unspecified antidepressants (selective serotonin and norepinephrine reuptake inhibitors) were the most common reason for hospitalisation accounting for 36.6% of the total number of hospitalisation episodes. Females accounted for 111,029 hospitalisation episodes, representing 63.2% of all hospitalisation episodes. The age group 20–39 years accounted for nearly half (48.6%) of the total number of episodes.Conclusion: Psychotropic drug administration error is a regular cause of hospitalization in Australia. Hospitalizations usually required overnight stays. The majority of hospitalizations were in persons aged 20–39 years, which is concerning and warrants further investigation. Future studies should examine the risk factors for hospitalization related to psychiatric drug administration errors

Head and Neck Cancer Primary Tumor Auto Segmentation Using Model Ensembling of Deep Learning in PET/CT Images

Auto-segmentation of primary tumors in oropharyngeal cancer using PET/CT images is an unmet need that has the potential to improve radiation oncology workflows. In this study, we develop a series of deep learning models based on a 3D Residual Unet (ResUnet) architecture that can segment oropharyngeal tumors with high performance as demonstrated through internal and external validation of large-scale datasets (training size = 224 patients, testing size = 101 patients) as part of the 2021 HECKTOR Challenge. Specifically, we leverage ResUNet models with either 256 or 512 bottleneck layer channels that demonstrate internal validation (10-fold cross-validation) mean Dice similarity coefficient (DSC) up to 0.771 and median 95% Hausdorff distance (95% HD) as low as 2.919 mm. We employ label fusion ensemble approaches, including Simultaneous Truth and Performance Level Estimation (STAPLE) and a voxel-level threshold approach based on majority voting (AVERAGE), to generate consensus segmentations on the test data by combining the segmentations produced through different trained cross-validation models. We demonstrate that our best performing ensembling approach (256 channels AVERAGE) achieves a mean DSC of 0.770 and median 95% HD of 3.143 mm through independent external validation on the test set. Our DSC and 95% HD test results are within 0.01 and 0.06 mm of the top ranked model in the competition, respectively. Concordance of internal and external validation results suggests our models are robust and can generalize well to unseen PET/CT data. We advocate that ResUNet models coupled to label fusion ensembling approaches are promising candidates for PET/CT oropharyngeal primary tumors auto-segmentation. Future investigations should target the ideal combination of channel combinations and label fusion strategies to maximize segmentation performance.</p