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FORMULATION AND EVALUATION OF GASTRO RETENTIVE DRUG DELIVERY SYSTEM OF SITAGLIPTIN 西他列汀胃黏膜给药系统的配方与评估
Pub Date : 2024-06-14 DOI: 10.59828/ijsrmst.v3i6.214
V. Iswariya, Sitawar Anusha, Varada Bala, Gnana Laxmi
This study aimed to develop a novel gastro-retentive drug delivery system in the form of floating tablets containing the antidiabetic medication sitagliptin. Sitagliptin acts by inhibiting the enzyme dipeptidyl peptidase-4 (DPP-4), which helps break down hormones released by the gut in response to food intake, including glucagon-like peptide-1 (GLP-1).The tablets contains Pectin and HPMC K as binders, with lactose monohydrate serving as a diluent. The effervescent agent, utilizing Citric acid as a gas-generating agent, was the basis for causing the tablet to float. Magnesium stearate and  talc are used in this tablet to increase the flow properties of the powder thus it helps in punching of the tablet. The direct compression method facilitated the production of six distinct formulations. Evaluation of these formulations focused on pre compression studies and post compression studies of the tablet. Consistency was observed across all formulations, indicated by minimal weight variation and good in vitro dissolution profiles. Among these formulations, M5 distinguished itself as the most promising. It was composed of 3mg Pectin and 7mg HPMC K, achieving an extended floating duration of 12 hours coupled with an efficient drug release profile over 8 hours. This formulation’s performance suggests its potential as an effective gastro retentive delivery system for Sitagliptin, offering a controlled release that could enhance patient compliance and therapeutic efficacy.
这项研究旨在开发一种新型胃保留给药系统,其形式为含有抗糖尿病药物西他列汀的浮动片剂。西他列汀通过抑制二肽基肽酶-4(DPP-4)酶发挥作用,该酶有助于分解肠道因摄入食物而释放的激素,包括胰高血糖素样肽-1(GLP-1)。泡腾剂利用柠檬酸作为发气剂,是使药片漂浮的基础。片剂中使用硬脂酸镁和滑石粉来增加粉末的流动性,从而有助于片剂的冲压。直接压片法有助于生产六种不同的配方。对这些制剂的评估侧重于片剂的压缩前研究和压缩后研究。所有配方的一致性都很好,重量变化极小,体外溶解情况良好。在这些制剂中,M5 是最有前途的。它由 3 毫克果胶和 7 毫克 HPMC K 组成,可延长漂浮时间 12 小时,并在 8 小时内有效释放药物。该制剂的性能表明,它有潜力成为西他列汀的有效胃保留给药系统,提供可提高患者依从性和疗效的控释。
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引用次数: 0
Role of Mathematics in Data Science - Machine learning 数学在数据科学中的作用 - 机器学习
Pub Date : 2024-03-16 DOI: 10.59828/ijsrmst.v3i3.191
Rajendrakumar Vilas, Thorat
The mathematical concepts help with identifying patterns and algorithmic development. Mathematics is an important part of many modern scientific areas. It is also a field of major significance in data science. Mainly because of the concepts they propose and the tools they allow, statistics and arithmetic have such an essential role in data science. A specific type of mathematical reasoning is needed for analysing data, in addition to the basic concepts of calculus, discrete mathematics, and linear algebra. To understand how to apply such algorithms in data science, one must have a solid understanding of many different statistical and probability theory ideas. Modern data science methods have a strong mathematical basis for almost all of their techniques, including machine learning.
数学概念有助于识别模式和算法开发。数学是许多现代科学领域的重要组成部分。在数据科学领域,数学也具有重要意义。主要是因为它们提出的概念和提供的工具,统计学和算术在数据科学中发挥着至关重要的作用。除了微积分、离散数学和线性代数的基本概念外,分析数据还需要一种特定的数学推理。要了解如何在数据科学中应用这些算法,就必须对许多不同的统计和概率论思想有扎实的了解。现代数据科学方法的几乎所有技术都有坚实的数学基础,包括机器学习。
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引用次数: 0
Graph Theory Applications in Database Management 图论在数据库管理中的应用
Pub Date : 2024-03-16 DOI: 10.59828/ijsrmst.v3i3.190
Snehal Eknath Phule
Graph theory, which is a branch of discrete mathematics, has emerged as a powerful tool in various domains, including database management. This abstract investigates the ways in which ideas and methods from graph theory which can be applied to database systems, offering a thorough synopsis of their benefits. Complex interactions within data can be well-modeled by using the basic concepts of graph theory, such as nodes, edges, and relationships. Because of its capacity to represent and query complex relationships, graph databases have become more and more popular in the field of database administration. Graph databases are well-suited for situations such as social networks, recommendation systems, and interconnected data domains because they are excellent at representing and traversing relationships, in contrast to standard relational databases, which are excellent at managing structured data. The abstract delves into the key graph-based data models, such as property graphs, RDF (Resource Description Framework), explaining how they facilitate the representation of diverse relationships. Furthermore, it explores the efficient storage and retrieval mechanisms that leverage graph traversal algorithms to extract valuable insights from interconnected datasets. The document highlights specific use cases where graph theory contributes to database management, including fraud detection, social network analysis, and recommendation systems. Additionally, it discusses the challenges associated with integrating graph databases into existing infrastructures and proposes solutions to address scalability and performance concerns. The abstract also touches upon the advancements in graph database query languages (Cypher) and SPARQL, showcasing their expressive power in querying complex relationships. The inclusion of graph-based indexing and optimization techniques demonstrates how database systems can efficiently handle queries involving large-scale graph data. As graph databases continue to evolve, this abstract concludes by outlining potential future directions in the intersection of graph theory and database management. It emphasizes the importance of ongoing research in developing scalable and efficient solutions for managing interconnected data, ultimately paving the way for more sophisticated and context-aware database systems relationships. Furthermore, it explores the efficient storage and retrieval mechanisms that leverage graph traversal algorithms to extract valuable insights from interconnected datasets.
图论是离散数学的一个分支,已成为包括数据库管理在内的各个领域的强大工具。本摘要探讨了图论中的思想和方法如何应用于数据库系统,并全面概述了这些思想和方法的益处。使用图论的基本概念(如节点、边和关系)可以很好地模拟数据内部的复杂交互。由于图数据库能够表示和查询复杂的关系,因此在数据库管理领域越来越受欢迎。与擅长管理结构化数据的标准关系数据库相比,图数据库擅长表示和遍历关系,因此非常适合社交网络、推荐系统和互联数据域等情况。摘要深入探讨了基于图的关键数据模型,如属性图、RDF(资源描述框架),解释了它们如何促进各种关系的表示。此外,摘要还探讨了利用图遍历算法从相互关联的数据集中提取有价值见解的高效存储和检索机制。文件重点介绍了图论在数据库管理中的具体应用案例,包括欺诈检测、社交网络分析和推荐系统。此外,它还讨论了将图数据库集成到现有基础设施中的相关挑战,并提出了解决可扩展性和性能问题的解决方案。摘要还谈到了图数据库查询语言(Cypher)和 SPARQL 的进步,展示了它们在查询复杂关系时的表现力。基于图的索引和优化技术展示了数据库系统如何高效处理涉及大规模图数据的查询。随着图数据库的不断发展,本摘要最后概述了图理论和数据库管理交叉领域未来的潜在发展方向。摘要强调了当前研究的重要性,即开发可扩展的高效解决方案来管理相互关联的数据,最终为建立更复杂的上下文感知数据库系统关系铺平道路。此外,它还探讨了利用图遍历算法的高效存储和检索机制,以便从相互关联的数据集中提取有价值的见解。
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引用次数: 0
THE FUNCTION OF CLOUD COMPUTING TECHNOLOGY: AN INVALUABLE WEAPON AGAINST COVID-19 云计算技术的功能:对抗 COVID-19 的宝贵武器
Pub Date : 2024-03-14 DOI: 10.59828/ijsrmst.v3i3.189
Trupti Ulhas Chavan
This study looks into how important cloud computing is to reducing the difficulties brought on by the COVID-19 epidemic. As the workforce becomes more reliant on digital solutions and works remotely more frequently, cloud computing becomes a vital tool for maintaining flexibility and company continuity. The study examines how cloud-based technologies, like scalable infrastructure and tools for remote collaboration, are being used to meet the extraordinary needs of distant work environments.
本研究探讨了云计算对于减少 COVID-19 流行病带来的困难有多重要。随着员工越来越依赖数字解决方案,远程工作越来越频繁,云计算成为保持灵活性和公司连续性的重要工具。本研究探讨了如何利用云计算技术(如可扩展的基础设施和远程协作工具)来满足远程工作环境的特殊需求。
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引用次数: 0
UNLEASHING THE POWER OF DEVOPS IN SOFTWARE DEVELOPMENT 在软件开发中释放 devops 的力量
Pub Date : 2024-03-12 DOI: 10.59828/ijsrmst.v3i3.185
Harshali Rohit Kadaskar
In the dynamic landscape of modern software development, the adoption of DevOps practices has emerged as a transformative force, revolutionizing the way organizations conceive, build, deploy, and maintain software applications. This abstract provides an overview of the key concepts, benefits, and challenges associated with unleashing the power of DevOps in software development.DevOps, an amalgamation of "Development" and "Operations," is a cultural and collaborative approach that aims to bridge the gap between software development and IT operations. The fundamental philosophy of DevOps is centred on fostering seamless communication, collaboration, and integration among cross-functional teams, thereby accelerating the software development lifecycle.            This abstract explores the core principles that underpin DevOps, emphasizing the importance of automation, continuous integration, continuous delivery, and continuous monitoring in achieving operational excellence. The iterative nature of DevOps enables organizations to respond swiftly to changing requirements, reduce time-to-market, and enhance the overall quality of software products.          Furthermore, the abstract delves into the transformative impact of DevOps on organizational culture, emphasizing the shift from traditional siloed structures to a more holistic, collaborative environment. Case studies and industry examples will be presented to illustrate successful implementations of DevOps practices, showcasing measurable improvements in productivity, efficiency, and customer satisfaction.          Despite the numerous advantages, adopting DevOps is not without its challenges. The abstract will address common hurdles faced by organizations, including cultural resistance, toolchain integration complexities, and the need for skilled personnel. Strategies to overcome these challenges will be discussed, empowering organizations to navigate the DevOps journey effectively.
在现代软件开发的动态环境中,采用 DevOps 实践已成为一种变革力量,彻底改变了企业构思、构建、部署和维护软件应用程序的方式。DevOps 是 "开发"(Development)和 "运营"(Operations)的合称,是一种文化和协作方法,旨在弥合软件开发与 IT 运营之间的差距。DevOps 的基本理念以促进跨职能团队之间的无缝沟通、协作和整合为核心,从而加快软件开发生命周期。 本摘要探讨了 DevOps 的核心原则,强调了自动化、持续集成、持续交付和持续监控对实现卓越运营的重要性。DevOps 的迭代特性使企业能够快速响应不断变化的需求,缩短产品上市时间,并提高软件产品的整体质量。 此外,摘要还深入探讨了 DevOps 对组织文化的变革性影响,强调了从传统的孤岛式结构向更全面的协作环境的转变。将通过案例研究和行业实例来说明 DevOps 实践的成功实施,展示在生产力、效率和客户满意度方面可衡量的改进。 尽管 DevOps 有诸多优势,但采用 DevOps 也并非没有挑战。摘要将讨论企业面临的常见障碍,包括文化阻力、工具链集成的复杂性以及对熟练人员的需求。将讨论克服这些挑战的策略,使企业能够有效驾驭 DevOps 之旅。
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引用次数: 0
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International Journal of Scientific Research in Modern Science and Technology
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