Shaqra University

Introduction and importance Syncope is a frequent reason for emergency room visits, often triggering extensive diagnostic evaluations. However, a well-conducted bedside history and physical examination can significantly streamline the process, leading to an accurate diagnosis and reducing unnecessary testing. Carotid sinus syndrome (CSS), though relatively rare, is an important consideration – particularly in middle-aged and older adults. Case presentation We report the case of a 53-year-old woman who had been experiencing recurrent episodes of syncope for 13 years. Despite undergoing multiple investigations, no definitive diagnosis had been established. However, a thorough clinical examination, combined with carotid sinus massage (CSM), ultimately identified CSS with a vasodepressor response. She was advised to adopt lifestyle modifications, including avoiding known triggers, increasing fluid intake, and taking Fludrocortisone 0.1 mg daily. A 1-year follow-up revealed complete resolution of her syncopal episodes. Clinical discussion CSS is often an overlooked cause of recurrent syncope, requiring specific diagnostic techniques such as CSM for identification. The vasodepressor variant, in particular, is best managed with conservative strategies, patient education, and volume expansion. While randomized controlled trials are lacking, anecdotal evidence supports the use of Fludrocortisone and midodrine in selected cases. This case underscores the critical role of history-taking and bedside assessment in the accurate diagnosis and effective management of reflex syncope. Conclusion A meticulous clinical history and targeted physical examination remain essential in identifying rare causes of syncope, such as CSS. This approach not only ensures appropriate management but also helps prevent misdiagnosis, optimizes the use of healthcare resources, and ultimately improves patient outcomes.

Background Artificial Intelligence (AI) is transforming healthcare by enhancing diagnostics, treatment personalization, and operational efficiency. In aesthetic medicine—a field blending medical expertise with artistic judgment—AI is increasingly being used to improve precision, optimize treatment outcomes, and personalize patient care. However, its integration presents both opportunities and ethical challenges, necessitating a critical evaluation of its role in this evolving field. Objective This study examines AI's applications in aesthetic medicine, focusing on its role in facial analysis, robotic‐assisted procedures, predictive patient outcome modeling, and personalized treatment planning. Additionally, it explores ethical concerns, algorithmic biases, data privacy issues, and regulatory challenges affecting AI adoption in aesthetic practices. Methods A comprehensive review of AI‐driven technologies in aesthetic medicine was conducted, analyzing literature on machine learning (ML), deep learning, and computer vision applications. Case studies on AI‐assisted facial symmetry analysis, robotic hair transplantation, and predictive analytics in patient care were examined to evaluate AI's effectiveness and limitations. Results AI enhances aesthetic procedures by improving diagnostic accuracy, offering virtual simulations of treatment outcomes, and enabling hyper‐personalized treatment plans based on patient data. AI‐driven chatbots and virtual assistants streamline patient interactions, while robotic systems assist in precision‐based tasks such as laser treatments and hair restoration. However, challenges such as biased training data, lack of transparency in AI decision‐making, and inconsistencies in regulatory approvals hinder widespread adoption. The integration of AI in aesthetic medicine presents a paradigm shift from traditional approaches to data‐driven, personalized interventions. However, ethical concerns such as data privacy, informed consent, and algorithmic fairness must be addressed. Overreliance on AI may diminish the human‐centric approach essential in aesthetic procedures, where patient expectations and subjective perceptions of beauty play a crucial role. Collaboration between technologists, clinicians, and policymakers is necessary to develop standardized AI guidelines that ensure fairness, safety, and efficacy. Conclusion AI has the potential to revolutionize aesthetic medicine by improving precision, efficiency, and patient satisfaction. However, its successful implementation requires balancing technological advancements with ethical considerations and regulatory frameworks. Future research should focus on integrating AI with emerging technologies such as augmented reality (AR) and genomic‐based personalization to enhance aesthetic outcomes while maintaining transparency and patient trust.

This study used a sol-gel method to prepare BiFeO3 (BFO) and strontium-doped bismuth ferrite Bi1-xSrxFeO3 (x = 0, 0.01, 0.03, 0.05 and 0.09) (Sr-doped BFO) photocatalysts. The microstructural analysis of the Sr-doped BFO photocatalysts revealed a rhombohedral perovskite structure in the samples. The optical study shows that doping with Sr ions reduced the energy band gap of the photocatalyst from 2.12 eV to 1.97 eV. Moreover, the calculated saturation magnetization (Ms) value was increased after doping with Sr ions, and for Sr (x = 0.05), the doped BFO sample exhibits the highest magnetization value of 0.481 emu/g. It was revealed that the Sr (x = 0.05) doped BFO photocatalyst exhibits 91.2% degradation of methylene blue (MB) dye under visible light radiation. In this study, the formation of trap levels due to the Sr ions, as well as the formation of superoxide anions (${O}_{2}^{-}$) and OH° radicals played a significant role in the degradation of MB. Graphical Abstract

Background Psychological, social, and cultural factors influence the development of dissociative and conversion disorders. India, with its diverse cultural beliefs and socioeconomic disparities, provides a unique setting for studying the clinical presentations of these disorders. Aim This scoping review synthesizes literature on dissociative and conversion disorders in India, focusing on their sociodemographic and clinical features, etiological factors, and key findings. Methods An extensive literature search was conducted in the PubMed, Google Scholar, Scopus, Embase, and Web of Science databases for studies conducted in India between 2000 and 2024. Results Ninety-eight studies that met the selection criteria were included in this review. Most studies included in this review were cross-sectional, from North India, and involved adults with fewer than 50 participants, with an overrepresentation of females. The prevalence of dissociative and conversion disorders is higher among young married women of rural domicile belonging to a low socioeconomic status. The common clinical presentations were pseudoseizures, paralysis, and trance. The key etiological factors identified were childhood trauma, family dysfunction, and psychosocial stress. Psychiatric comorbidities included depression, anxiety, obsessive-compulsive disorder, and personality issues. Cultural and religious beliefs strongly influence both symptom presentation and treatment-seeking behaviors. Sociodemographic, cultural, and psychosocial factors substantially influence the clinical presentation of dissociative and conversion disorders. Conclusion These findings underscore the need for a culturally sensitive, multidisciplinary approach to address these factors. Future prospective research is needed to assess long-term outcomes and explore the neuropathophysiological mechanisms underlying these disorders.

Breast cancer is a widely studied cancer that involves multiple complex molecular mechanisms in its development and progression. To gain a deeper understanding of the molecular mechanisms of breast cancer and to search for potential therapeutic targets and prognostic markers, we performed an in-depth analysis of breast cancer gene expression data using weighted co-expression network analysis. First, we downloaded breast cancer-related gene expression data from public databases and performed weighted co-expression network analysis. Through the analysis, we identified the purple modules that are closely related to breast cancer and screened out 224 genes for further functional enrichment analysis. To construct the protein interactions network, we selected 90 of these genes for analysis after screening. The GO enrichment analysis mainly focused on the response of extracellular matrix organization to hormones, negative regulation of angiogenesis, positive regulation of cell proliferation, positive regulation of epithelial-to-mesenchymal transition, transforming growth factor β-receptor signaling pathway, localization of proteins to membranes, response to cortisol, positive regulation of protein kinase B signaling, and other biological processes. KEGG pathway enrichment analysis mainly includes PI3K-Akt signaling pathway, TGF-β signaling pathway, cell cycle, proteoglycan in cancer, MAPK signaling pathway, and many other cancer disease pathways. Finally, we screened the key genes in the protein interactions network using Cytoscape’s MCODE plug-in and identified nine key markers, namely THBS2, ACTA2, TIMP1, VCAN, TGFB2, FN1, BGN, CCN2, and TAGLN. These genes may play an important role in the pathogenesis of breast cancer providing new ideas for breast cancer treatment and prognosis.

In this study, we utilize first-principles calculations based on density functional theory (DFT) to examine the structural, electronic, mechanical, optical, and thermoelectric properties of Cs 2 YZnX 6 (X = Br, I) materials.

Unlabelled: The rise of zoonotic viruses like Monkeypox (mpox) presents significant challenges to public health, the economy, and modern medical practices. These pathogens, which can transfer from animals to humans, have the potential to cause both localized outbreaks and global pandemics. Monkeypox, recently recognized as a zoonotic virus, is particularly concerning due to its severe impact, especially on children and those with weakened immune systems. In light of the pressing need for effective treatments, repurposing existing drugs and utilizing computational modeling have emerged as vital strategies for discovering potential therapeutic agents. Research has demonstrated the promise of Direct Acting Antivirals (DAAs) against various viral infections. By employing computational tools and existing data, we can quickly identify potential treatments to combat the current mpox outbreak. Given that the cysteine protease of mpox bears similarities to proteases found in viruses such as HCV and HIV, it is plausible that DAAs could inhibit mpox protease. We applied machine learning techniques, including Support Vector Machines (SVM), Reinforcement Learning (RL), and K-Nearest Neighbors (KNN), to analyze a set of 86 DAAs. The compounds predicted to be effective inhibitors were then assessed using structural modeling methods. Our docking simulations identified four DAAs-Paritaprevir (DB09297), Ledipasvir (DB09027), Lenacapavir (DB15673), and Bictegravir (DB11799)-as having particularly strong binding affinities for mpox protease. Key interacting residues, such as Cys328, Tyr270, His241, and Gly329, were found to be critical in the binding process. These results indicate that FDA-approved DAAs might provide new treatment avenues for mpox. Nevertheless, additional validation through experimental studies is necessary to confirm the biological effectiveness of these drug candidates. This research provides a foundational basis for exploring DAAs as potential new treatments for mpox, with future investigations required to fully determine their therapeutic value. Supplementary information: The online version contains supplementary material available at 10.1007/s40203-025-00374-w.

This study investigates the therapeutic advantages of agomelatine in the context of Alzheimer’s disease (AD) using a mouse model, with twenty healthy male SWR/J mice participating in the research. Many approaches were employed to evaluate the effectiveness of the treatments; these approaches included body weight analysis, evaluations of short-term memory, biomarker assessments, histopathological examinations, and Fourier-transform infrared (FTIR) spectroscopy. The results suggest that agomelatine treatment effectively countered the weight loss associated with AD. Importantly, agomelatine enhanced cognitive performance, as indicated by improved short-term memory in spatial recognition assessments; mice treated with agomelatine showed spontaneous alternation percentages comparable to controls, with statistically significant differences observed between AD and control groups (Dunn’s post-hoc p = 0.0072). Analyses of biomarkers showed that agomelatine reduced the AD-induced elevation of acetylcholinesterase activity, interleukin-6 levels, and oxidative stress markers while increasing total antioxidant capacity. Histopathological assessments showed enhanced structural integrity in hippocampal regions. FTIR spectroscopy revealed agomelatine’s protective effect on brain molecular structure, mainly through preserving lipid order in the CH stretching region and preventing protein oxidation in the C = O spectral range, both of which are typically altered by AD pathology. These results emphasize the efficacy of agomelatine and support its consideration in mitigating symptoms associated with AD etiology.

A good and simple spectrophotometric method has been developed for the determination of dapsone by the dye bleaching method. The method depends on the oxidative bleaching of bromothymol blue dye using a mixture of (KBr + KBrO3) in the presence of hydrochloric acid, and then adding the dapsone. After completing the additions, the final product of the reaction (pink color) is formed, and then the absorption is measured at 518 nm. In the concentration range of 2 to 10 µg/mL, Beer’s law was observed, and the Sandell index was 0.0009 µg.cm-2, while the molar absorbance was 2.6692 × 103 L. mol− 1. cm− 1. The quantitative limit was 0.1 µg/mL, whereas the detection limit was 0.03 µg/mL. Dapsone’s pharmaceutical formulation in tablet form was measured using this method, and the recovery percentage was 100.2% with a relative standard deviation of no more than 0.2%.

Introduction Tirzepatide is a new molecule capable of controlling blood glucose levels by combining the dual agonism of glucose-dependent insulinotropic polypeptide (GIP) and glucose-like peptide-1 (GLP-1) receptors. The Food and Drug Administration approved tirzepatide subcutaneous injections as monotherapy or combination therapy, with diet and physical exercise. Its influence on sexual behavior as an adverse effect is not well known. Aims The purpose of this report was to present a case study of an obese female patient who received tirzepatide treatment for sexual dysfunction. Methods We performed an extensive clinical evaluation, which included the Female Sexual Function Index (FSFI). Metabolic, hormonal, immunologic, and hematologic etiology of sexual dysfunction was ruled out by laboratory examination. The patient was managed by a multimodal approach, with lifestyle modification, pelvic floor strengthening exercises, pharmacologic management with bupropion sustained release 150 to 400 mg per day and topical lubricants, and psychosexual therapy as needed. FSFI scores were longitudinally followed to assess treatment response. Results A 36-year-old woman with obesity class III developed sexual dysfunction after using tirzepatide, a healthy lifestyle with a carb cycle diet, greater physical activity, and exercise for losing weight. All physical, psychological, and hormonal parameters were normal. During treatment, the patient started to complain of decreasing sexual drive, genital dryness, and failure to catch orgasm; female sexual function index (FSFI) = 12.7. Symptoms decreased after stopping the tirzepetide (FSFI = 28.7) and reappeared after retaking the injection (FSFI = 14.7). After 1 month of sexual treatment and support, FSFI = 24. Conclusion The drug’s impact on hormones and neurological pathways may contribute to decreased sexual desire, through the specific process is unknown. Adjuvant sexual education and therapy support has an imperative role in the plan of management in cases on going in the journey of reducing their weight and complaining of sexual performance affection.

Background/Objectives: Obesity pharmacotherapy vastly improved the treatment of the disease of obesity. However, GLP-1 receptor agonists and GIP/GLP-1 dual agonists may lead to nutritional complications, including severe caloric restriction, micronutrient deficiencies, lean body mass loss, dehydration, and ketosis. We examine these risks and outlines dietitian-led strategies to support improved safety and effectiveness. Methods: This narrative review was conducted in three stages: literature search, screening of abstracts and full texts, and synthesis of findings. Searches were carried out in April and May 2025 across PubMed, Embase, Scopus, ScienceDirect, Web of Science, and Google Scholar using keywords related to obesity pharmacotherapy and nutrition. Results: Clinical observations and trial data suggest that some individuals may consume fewer than 800 kcal/day during the initial stages of treatment. Prolonged energy and protein deficits can increase the risk of sarcopenia, metabolic dysfunction, and reduce treatment adherence. Additional risks include inadequate micronutrient intake due to reduced dietary variety, dehydration linked to gastrointestinal symptoms and hypodipsia, and rare but serious cases of ketoacidosis. Patients at heightened risk include older adults, those with low baseline muscle mass, and individuals with restrictive eating patterns. Conclusions: Obesity medications introduce unique nutritional risks that are not yet addressed by standardised clinical protocols. Registered dietitians play a critical role in assessing intake patterns, monitoring for red flags, and delivering targeted nutritional support. Integrating structured dietary assessment tools, checklists, and risk-specific guidance into pharmacotherapy pathways can enhance safety, promote adherence, and improve long-term outcomes.

Alzheimer's Disease (AD) is a progressive neurodegenerative disorder characterized by cognitive decline and memory loss, significantly impacting the quality of life for affected individuals. This manuscript explores various innovative therapeutic strategies aimed at enhancing drug delivery to the brain, particularly through the use of nanotechnology. This paper discussed the application of Solid Lipid Nanoparticles (SLNs), dendrimers, and Polymeric Nanoparticles (PNPs) in targeting the Central Nervous System (CNS) to improve bioavailability and therapeutic efficacy. The findings indicate that these advanced delivery systems can enhance brain penetration, reduce Amyloid-Beta (Aβ) deposition, and improve cognitive functions in animal models of AD. Furthermore, the review highlights the challenges associated with these technologies, including limited scalability and potential toxicity, while suggesting future directions for research and development in the field of AD treatment.

Phyllanthus niruri, a well-known medicinal plant, has been widely recognized for its hepatoprotective, anti-inflammatory, and antioxidant properties. In the present study, the hepatoprotective potential of ethanol extract of P. niruri (EPN) and hexane extract of P. niruri (HPN) were evaluated against carbon tetrachloride (CCl 4)-induced hepatotoxicity in rats. Oral administration of both EPN and HPN extracts at the dose of 200 mg/kg body weight and silymarin (50 mg/kg) was assessed for their therapeutic effect on liver function, oxidative stress markers, and inflammatory biomarkers. The results demonstrated that standard drug and P. niruri extracts significantly reduced elevated levels of liver enzymes (ALT and AST), oxidative stress (MDA and NO) markers, and inflammatory markers (TNF-α and TGF-β), along with remarkable restoration of antioxidants (GSH and CAT). Furthermore, histopathological outcomes suggested that the hepatic architecture of liver tissues normalized on extract treatment in comparison to the CCl 4-treated group. The in silico study revealed that 1H-indole, 4-(3-methyl-2-butenyl)-and α-Amyrin from EPN extract, while phenol, 2,4-bis(1,1-dimethylethyl) and Stigmast-4-en-3-one from HPN extract exhibited high binding affinities against selected proteins, TNF-α and TGF-β. These findings highlight P. niruri L. as a valuable source for the development of natural hepatoprotective drugs, as evidenced by its ability to mitigate CCl 4-induced liver toxicity in rats primarily by enhancing antioxidant status and stabilizing liver cell integrity.

Pancreatic cancer, particularly pancreatic ductal adenocarcinoma (PDAC), remains one of the deadliest malignancies with a dismal prognosis due to late diagnosis and limited effective treatments. This review explores the multifaceted role of circulating and exosomal microRNAs (miRNAs) in pancreatic cancer progression, metastasis, diagnosis, prognosis, and therapeutic potential. miRNAs—a class of small non-coding RNAs—regulate gene expression post-transcriptionally, influencing key oncogenic and tumor-suppressor pathways. Dysregulated miRNA expression correlates with tumor stages, metastasis, and patient survival, presenting promising biomarkers for early detection and monitoring disease progression. Oncogenic miRNAs like miR-21 and miR-10b are elevated in the serum exosomes of PDAC patients and contribute to tumor growth and therapy resistance by modulating pathways such as Ras/ERK and promoting epithelial-mesenchymal transition. Advances in combining miRNA profiles with traditional markers have significantly improved diagnostic accuracy, highlighting miRNAs as robust tools for early intervention. Furthermore, targeting miRNAs therapeutically, either through anti-miRNA oligonucleotides or modulation of their regulatory networks, offers novel approaches to overcome chemoresistance and impede tumor progression. This review synthesizes current understanding and emerging insights into miRNA-driven molecular mechanisms in pancreatic cancer, underscoring their critical role in shaping future diagnostic and therapeutic landscapes.

The study aimed to evaluate the water quality index (WQI) and the relationship between total dissolved solids (TDS) and other major elements in drainage waters associated with the Bahr El-Baqar drain in Egypt. The findings indicated that all examined drainage waters were classified as non-sodic, with the Bahr El-Baqar drain's water deemed suitable for agricultural use. The residual sodium carbonate (RSC) values ranged from -3.1 to -1.15 mmol L-1, averaging -2.04 mmol L-1. While the Bahr El-Baqar drain was suitable for irrigation, the drains from Sheeben Al-Qanter, Belbais, and Jabal Al-Asfar presented medium hazards, necessitating specific usage restrictions based on the drain. The study recommended the use of Al-Qalubiya main drain water with caution, particularly avoiding salt-sensitive plants in light-textured or moderately permeable soils. Conversely, plants with slight salt sensitivity could be irrigated with water from the Belbais, Sheeben Al-Qanter, and Bahr El-Baqar drains, provided they were grown in soils with moderate to high porosity and mild salt leaching. For the Al-Qulzm, Khousos, and Jabal Al-Asfar drains, it was advised to irrigate salt-tolerant plants using appropriate salinity management techniques, particularly in highly permeable soils. The methodology included rigorous sampling and analysis of various water quality parameters, adhering to established protocols to ensure accurate results. All things considered, the average daily consumption of HMs is assessed to be below the desirable and advised levels. Additionally, the average weekly intake of hazardous metals was significantly lower than the provisional tolerated weekly intake (PTWI).

This pioneering study explored the influence of including ceramic sludge waste (CSW) at various ratios (5–50 wt%) into alkali-activated slag (AAS) cement. This research investigated how various proportions of CSW affect the main properties of AAS cement, including flowability, setting time, compressive strength, crystalline phases, hydration products, and microstructure change. The results indicated that including CSW enhanced the flowability and prolonged setting time of AAS cement. The inclusion of 5–20% CSW improved the compressive strength, with 10% CSW being the optimal content; however, higher CSW ratios (30–50%) resulted in strength reduction. A range of contemporary technologies was used to examine the results. This study is the first to demonstrate that incorporating 5–20% CSW into AAS cement can enhance its compressive strength, suggesting a pathway for creating more durable and resource-efficient construction materials while simultaneously valorizing a significant industrial waste stream and reducing landfill burden.

The copper–water nanofluid (40 nm) mixed convection of a static, laminar, incompressible flow of a non-Newtonian Bingham fluid under inertial stresses caused by the tilting of a lid is examined in a square chamber having unit diameter is the main objective of our study. A cold-surfaced, wavy square cylinder is inserted in the core of this chamber, and the isothermal horizontal side walls preserve two different temperatures: The left one is hot (Th), and right one is cold (Tc). Additionally, there is insulation on both upper and lower walls. The flow dynamics of cavities are affected by application of an inclining magnetic field at an angle $\left( \theta \right)$ to the horizontal and has cold wavy cylinder obstacles added to it. The effect of produced temperature gradients, lid-driven flow, and a magnetic field of magnitude $B_{0}$ on heat transfer near the obstacle and fluid motion within the enclosure is investigated. Positioning cylinders with different thermal distributions can also enhance or regulate the thermal management in enclosures. Numerical simulations are performed using an open-source application called COMSOL Multiphysics, which is based on the finite element method (FEM). The impacts of isotherms, streamlines and Nusselt number on numerous parameters such as Bingham fluid parameter (Bn) values of (0–10), Hartmann number (Ha) values of (0–60), Reynolds number (Re) values of (1–20), and Richardson number (Ri) values of (1–20) number in a square hollow with wavy square cylinder and an angled magnetic field $\varphi$ are examined in detail in this article. The local and mean Nusselt numbers rise with increasing Re, suggesting greater convective heat transport as a result of higher inertial forces. Both heat transmission and fluid motion can be enhanced by an increase in Ri, which refers to increased buoyant forces. Also, greater Bn values decrease the fluid's kinetic energy and a local and mean Nusselt numbers. These results have real-world implications for industrial processes involving magnetic field management of non-Newtonian fluids, including metallurgical operations, polymer processing, and the construction of sophisticated cooling systems where precise temperature and flow control are essential. Additionally, cylinders installed in chambers are extensively engaged in a variety of practical settings in civic and industrial contexts, such as indoor energy management, bearing lubrication, cooling shafts, and food processing.

We present a 20-year-old male involved in a high-energy vehicle accident with back pain, chest pain, and a scalp abrasion. A supine chest radiograph revealed a linear lucency in the right apical lobe, raising concern for pneumothorax or a retained foreign body. A contrast-enhanced chest computed tomography (CT) identified an azygos lobe with its characteristic fissure and preserved pulmonary markings, with no evidence of pneumothorax or foreign objects. The patient remained stable and was discharged without intervention. This case highlights the diagnostic challenges of recognizing congenital anomalies like the azygos lobe, present in 0.4%–1.2% of the population, which can mimic critical conditions such as pneumothorax or foreign bodies, particularly in trauma settings. Identifying key imaging features, including the azygos fissure’s alignment and normal lung markings, is essential to avoiding misdiagnosis. CT is the gold standard for resolving uncertainty, ensuring accurate diagnosis, and preventing unnecessary interventions in trauma cases.

Introduction Nursing students often experience academic burnout due to the intense demands of their education, affecting their performance and well-being. Personal traits like grit and learning agility have the potential to alleviate burnout. Objective This study aimed to evaluate the impact of grit and learning agility on academic burnout among nursing students. Methods This study employed a descriptive, cross-sectional design, engaging a random sample of 467 nursing students. The study utilized self-reported online surveys to collect data from nursing students. These surveys included a demographic questionnaire, a short grit scale, a learning agility questionnaire, and a Maslach Burnout Inventory student survey. Descriptive statistics, Pearson correlation coefficient test, and simple linear regression were employed to analyze data in SPSS software (version 23.0). Results The majority of the participants demonstrated elevated levels of grit (56.1%), moderate levels of learning agility (55.0%), and moderate levels of academic burnout (53.3%). The study revealed a statistically significant positive association between grit and learning agility (r = 0.274, p < .001), as well as a negative link between grit and academic burnout (r = −0.327, p < .001). Conclusion These findings highlight the importance of fostering grit and learning agility in nursing education as a means to mitigate academic burnout. Integrating resilience-building interventions such as mentorship programs and stress management into nursing curricula may enhance students’ ability to deal with challenges and persist in their studies and improve both academic success and long-term professional well-being in the nursing workforce.