International Journal of Health Sciences and Engineering
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    15 research outputs found

    Mesalamine Microemulsions for Crohn’s Disease: A Review

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    oai:ojs.ijhse.com:article/1This analysis delves into the promise of mesalamineencapsulated microemulsions in improving bioavailability and therapeutic effectiveness for Crohn\u27s disease. Crohn’s disease, a persistent inflammatory condition of the bowel, frequently necessitates precise medication administration owing to the particular sites of inflammation found in the gastrointestinal system. Mesalamine, a commonly utilised treatment, exhibits restricted efficacy owing to its inadequate absorption in the upper gastrointestinal tract and swift metabolic breakdown. This manuscript explores the obstacles linked to conventional mesalamine formulations and investigates the latest innovations in microemulsion-driven delivery mechanisms aimed at enhancing drug solubility, stability, and precise targeting. Innovative microemulsion methodologies, such as pH-sensitive and enzymeresponsive frameworks, exhibit potential in overcoming the shortcomings of current therapies, creating opportunities for more efficient and patient-centric treatment alternatives

    Deciphering Anxiety with Zebrafish: A Versatile Model for Anxiolytic Studies

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    Background - Studies on behavioral pharmacology are increasingly using zebrafish as model organisms. Numerous anxiety-related behaviors in zebrafish have been documented, yet little is known about how anxiolytic drugs impact these behaviors. Anxiety is currently one of the primary unmet medical needs. Despite the wide variety of anxiolytic drugs available, many patients either do not respond well to current pharmacotherapy or see a lessening of their reactivity with repeated treatment. Search for novel compounds and learn how anxiolytic drugs function. Main body of the abstract - In the first task, we concurrently looked at the adult zebrafish\u27s motility, color, height in the tank, and cohesiveness of the shoal. We examine the effects of buspirone hydrochloride, ethanol, benzodiazepines, and a common anxiolytic drug used in medical facilities for humans. Anxiolysis\u27s symptoms were not brought on by anxiolytic drugs, which work by agonisting GABA receptors. We search for anxiolytic drugs in two genetically distinct populations of zebrafish, and the results show that the light/dark preference test is a sensitive, practical, and cost-effective technique. Two important behavioral characteristics seem to be shoal cohesion and tank height among the various groups of these treatments. Conclusion - The findings show that measuring the effects of human anxiolytic medications may be done simply and sensitively using zebrafish behavior

    Empowering Data Engineering Pipelines with Zero-Shot Learning for Seamless Automated Mapping

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    Zero-shot learning (ZSL), which enables models to recognize unseen classes without prior labeled examples, has gained significant interest in machine learning, yet its application in data engineering—particularly for automating data mapping across heterogeneous sources—remains underexplored. Data mapping, the alignment of data attributes between disparate systems, is traditionally labour-intensive and error-prone, limiting scalability in complex integration scenarios. This paper proposes a novel zero-shot learning framework designed to fully automate data mapping without the need for extensive labeled data. Leveraging semantic embeddings, natural language processing, and ontology alignment, the approach infers attribute mappings by understanding semantic relationships and domain context in an unsupervised manner. Evaluations on real-world healthcare and financial datasets featuring diverse and evolving schemas demonstrate that the framework achieves over 90% mapping accuracy on unseen attribute pairs, outperforming baseline unsupervised and rule-based methods. Precision and recall metrics further confirm its robustness across heterogeneous data types. Qualitative feedback from domain experts highlights the high interpretability and practical usefulness of automated mapping explanations, fostering greater trust and easier downstream validation. Compared to traditional supervised approaches, the zero-shot framework significantly reduces dependence on labeled data and manual effort, accelerating deployment timelines by up to 40%. Case studies also showcase its ability to adapt seamlessly to schema changes without retraining, emphasizing scalability and flexibility in dynamic data environments. While semantic ambiguities occasionally impact mapping precision, future work will focus on improved disambiguation mechanisms. Overall, this study demonstrates the potential of integrating zero-shot learning into data engineering pipelines to transform data integration workflows and support intelligent, adaptable data ecosystems

    Integration of Evidence-Based Practice in Nursing Science

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    Background: Evidence-Based Practice (EBP) is essential in modern nursing for improving patient outcomes, enhancing quality of care, and ensuring safety. Despite its proven benefits, adoption remains inconsistent across healthcare settings due to barriers such as lack of training, limited resources, and resistance to change. Understanding these challenges and identifying effective strategies are critical for integrating EBP into routine nursing practice. Methodology: This review synthesizes findings from scientific literature, policy documents, and clinical implementation studies. It evaluates educational interventions, organizational frameworks, and technological tools that support EBP adoption. Key strategies assessed include leadership support, mentorship programs, continuing professional development, and digital platforms facilitating access to clinical guidelines and research evidence. Results: Evidence shows that structured training programs, interdisciplinary collaboration, and leadership engagement significantly increase nurses’ confidence and use of EBP. Digital innovations such as online evidence repositories, AI-driven clinical decision support tools, and mobile health applications further strengthen implementation. However, persistent barriers include time constraints, inadequate staffing, limited funding, and organizational cultures resistant to change. Conclusion: Integrating EBP into nursing requires a multipronged approach that combines leadership commitment, staff empowerment, continuous education, and supportive technologies. Sustainable adoption depends on aligning institutional policies with evidence-based standards and fostering a culture that values inquiry and innovation. Future directions include embedding AI-driven decision tools, strengthening mentorship models, and expanding international collaborations to create a resilient and globally unified evidence-based nursing workforce

    Enhanced Bioavailability and Targeted Delivery of Mesalamine for Crohn’s Disease Using Microemulsion Formulations

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    This study evaluates mesalamine-loaded microemulsions designed to enhance drug bioavailability and site-specific delivery in the gastrointestinal (GI) tract, targeting the treatment of Crohn\u27s disease. Mesalamine, an anti-inflammatory drug, is conventionally limited by poor solubility and inconsistent site-specific action. This research examines various microemulsion formulations to improve mesalamine delivery to the colon, assessing parameters such as stability, droplet size, encapsulation efficiency, and pH-controlled release. Optimal formulations demonstrated controlled, targeted release in colonic conditions, high stability, and minimized premature drug release in nontarget GI regions. These findings suggest potential clinical applications for advanced mesalamine therapies in Crohn\u27s disease management

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    International Journal of Health Sciences and Engineering
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