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Background: Nursing and midwifery professionals’ well-being may be affected by various factors, including the bullying of new nurses. Purpose: To analyze the relationship between bullying behaviors, perceived stress, and acute stress among undergraduate nursing and midwifery students in Saudi Arabia, as well as the moderating role of gender and academic majors in this relationship. Method: A cross-sectional correlation design was used, and data were collected from 322 undergraduate nursing and midwifery students enrolled in four major nursing universities in Saudi Arabia. Results: Educational level, environment, and personal attacks had a significant negative impact on perceived and acute stress (social and non-social), while hostility toward academic achievement and direct negative behaviors had significant positive impacts on perceived and acute stress (social and non-social). Female nursing students reported a stronger impact of bullying behavior on their perceived stress, while male students reported a greater impact on social and non-social stress. Nursing students reported a stronger impact of bullying on perceived stress, while midwifery students reported a greater impact on social and non-social stress. Discussion: Nursing educators should raise awareness about the harmful effects of bullying and emphasize the importance of creating a safe, supportive learning environment.

Cyclin-dependent kinase 5 (CDK5) plays a crucial role in various biological processes, including immune response, insulin secretion regulation, apoptosis, DNA (deoxyribonucleic acid) damage response, epithelial−mesenchymal transition (EMT), cell migration and invasion, angiogenesis, and myogenesis. Overactivation of CDK5 is associated with the initiation and progression of cancer. Inhibiting CDK5 has shown potential in suppressing cancer development. Despite advancements in CDK5-targeted inhibitor research, the range of compounds available for clinical and preclinical trials remains limited. The marine environment has emerged as a prolific source of diverse natural products with noteworthy biological activities, including anti-cancer properties. In this study, we screened a library of 47,450 marine natural compounds from the comprehensive marine natural product database (CMNPD) to assess their binding affinity with CDK5. Marine compounds demonstrating superior binding affinity compared to a reference compound were identified through high-throughput virtual screening, standard precision and extra-precision Glide docking modes. Refinement of the selected molecules involved evaluating molecular mechanics–generalized born surface area (MM/GBSA) free binding energy. The three most promising compounds, (excoecariphenol B, excoecariphenol A, and zyzzyanone B), along with the reference, exhibiting favorable binding characteristics were chosen for molecular dynamics (MD) simulations for 200 nanoseconds. These compounds demonstrated interaction stability with the target during MD simulations. The marine compounds identified in this study hold potential as effective CDK5 inhibitors and warrant subsequent experimental validation.

In recent times, coronary artery disease (CAD) has become one of the leading causes of morbidity and mortality across the globe. Diagnosing the presence and severity of CAD in individuals is essential for choosing the best course of treatment. Presently, computed tomography (CT) provides high spatial resolution images of the heart and coronary arteries in a short period. On the other hand, there are many challenges in analyzing cardiac CT scans for signs of CAD. Research studies apply machine learning (ML) for high accuracy and consistent performance to overcome the limitations. It allows excellent visualization of the coronary arteries with high spatial resolution. Convolutional neural networks (CNN) are widely applied in medical image processing to identify diseases. However, there is a demand for efficient feature extraction to enhance the performance of ML techniques. The feature extraction process is one of the factors in improving ML techniques’ efficiency. Thus, the study intends to develop a method to detect CAD from CT angiography images. It proposes a feature extraction method and a CNN model for detecting the CAD in minimum time with optimal accuracy. Two datasets are utilized to evaluate the performance of the proposed model. The present work is unique in applying a feature extraction model with CNN for CAD detection. The experimental analysis shows that the proposed method achieves 99.2% and 98.73% prediction accuracy, with F1 scores of 98.95 and 98.82 for benchmark datasets. In addition, the outcome suggests that the proposed CNN model achieves the area under the receiver operating characteristic and precision-recall curve of 0.92 and 0.96, 0.91 and 0.90 for datasets 1 and 2, respectively. The findings highlight that the performance of the proposed feature extraction and CNN model is superior to the existing models.

Background: Nursing and midwifery professionals' well-being may be affected by various factors, including the bullying of new nurses., Purpose: To analyze the relationship between bullying behaviors, perceived stress, and acute stress among undergraduate nursing and midwifery students in Saudi Arabia, as well as the moderating role of gender and academic majors in this relationship., Method: A cross-sectional correlation design was used, and data were collected from 322 undergraduate nursing and midwifery students enrolled in four major nursing universities in Saudi Arabia., Results: Educational level, environment, and personal attacks had a significant negative impact on perceived and acute stress (social and non-social), while hostility toward academic achievement and direct negative behaviors had significant positive impacts on perceived and acute stress (social and non-social). Female nursing students reported a stronger impact of bullying behavior on their perceived stress, while male students reported a greater impact on social and non-social stress. Nursing students reported a stronger impact of bullying on perceived stress, while midwifery students reported a greater impact on social and non-social stress., Discussion: Nursing educators should raise awareness about the harmful effects of bullying and emphasize the importance of creating a safe, supportive learning environment.

This study aimed to explore the effects of the full-scale replacement (up to 100%) of Ca 2+ ions with Ag 1+ ions in the structure of brushite (CaHPO 4 ·2H 2 O). This substitution has potential benefits for producing monophasic and biphasic Ca 1-x Ag x HPO 4 ·nH 2 O compounds. To prepare the starting solutions, (NH 4 ) 2 HPO 4 , Ca(NO 3 ) 2 ·4H 2 O, and AgNO 3 at different concentrations were used. The results showed that when the Ag/Ca molar ratio was below 0.25, partial substitution of Ca with Ag reduced the size of the unit cell of brushite. As the Ag/Ca molar ratio increased to 4, a compound with both monoclinic CaHPO 4 ·2H 2 O and cubic nanostructured Ag 3 PO 4 phases formed. There was a nearly linear relationship between the Ag ion ratio in the starting solutions and the wt% precipitation of the Ag 3 PO 4 phase in the resulting compound. Moreover, when the Ag/Ca molar ratio exceeded 4, a single-phase Ag 3 PO 4 compound formed. Hence, adjusting the Ag/Ca ratio in the starting solution allows the production of biomaterials with customized properties. In summary, this study introduces a novel synthesis method for the mono- and biphasic Ca 1-x Ag x HPO 4 ·nH 2 O compounds brushite and silver phosphate. The preparation of these phases in a one-pot synthesis with controlled phase composition resulted in the enhancement of existing bone cement formulations by allowing better mixing of the starting ingredients.

This study was carried out to investigate the effect of a complete exchange of Ca 2+ with Zn 2+ ions on the structure of brushite (CaHPO 4 ·2H 2 O), which might be advantageous in the production process of Ca x Zn 1-x HPO 4 ·nH 2 O. To acquire the starting solutions needed for the current study, (NH 4 ) 2 HPO 4 , Ca(NO 3 ) 2 ·4H 2 O, and Zn(NO 3 ) 2 ·6H 2 O were utilized in several molar concentrations. The findings indicate that Ca is partly substituted by Zn when the Zn/Ca molar ratio is below 0.25 and that Zn doping hinders the crystallization of brushite. A continued increase in the Zn/Ca molar ratio to 1 (at which point the supersaturation of the Zn solution rises) led to a biphasic compound of monoclinic brushite and parascholzite precipitate. Elevating the Zn/Ca molar ratio to 1.5 resulted in a precipitate of a parascholzite-like mineral. Finally, increasing the Zn/Ca molar ratio to 4 and above resulted in the formation of the hopeite mineral. Future biomaterial production with specific and bespoke characteristics can be achieved by adjusting the Zn/Ca ratio in the starting solution. It Rhas been established that the Zn/Ca ratio in the starting solution can be adjusted to obtain minerals with specific compositions. Thus, new synthesis methods for parascholzite and hopeite were introduced for the first time in this manuscript.