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1161 articles for “Analytical”
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Analytical Approach to Determine Fundamental Performance Simplified Rocket Trajectory Motion
Abstract: The natural rocket motion is just a trajectory motion if there is no special equipment assembled to deviate, and direct it follow anther root. As result, achieves maximum height or range based on design requirement. The two trajectory roots in rocket motion are A) powered trajectory motion until burn out, and B) pure trajectory motion after burn out until landing or Parachute ejection. The former condition involves two trust force …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 3, Issue 3, 2014 · pp. 10–15 Read article
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Analytical Method Development and Validation for Simultaneous Estimation of Linagliptin and Empagliflozin by using RP-HPLC–PDA
Abstract: Present my research work done for the measurement and quantification of Linagliptin and Empagliflozin, a rapid, sensitive, and Reliable RP-HPLC technique using a Waters HPLC System with PDA detection was designed and validated. Chromatography was carried out on an Thermo-ODS C18 (150 ×x 4.6 mm, 5) column with a Flow rate of 1.0 ml/min and an effluent of 223 nm using filtered and mixed Degassed potassium dihydrogen phosphate and Methanol: …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 8, Issue 3, 2023 · pp. 28–51 Read article
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Pharmacognostical and Analytical Profile of Vasa Ghrita
Abstract: Vasa Ghrita is an Ayurvedic formulation, which is beneficial in the management of Raktapitta, Shawasa, Kasa and Jirna Jwara. Vasa Ghrita was prepared as per method mentioned in Charaka Samhita. A pharmacognostical study involving powder microscopy of raw drugs of Vasa plant and Flower. Organoleptic and Physicochemical analysis of the finished product was carried out, to evaluate the quality of the formulation. The specific gravity of the formulation was 1.4543 …
Published in Research & Reviews: A Journal of Pharmacognosy · Vol. 8, Issue 3, 2023 · pp. 38–43 Read article
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Analytical Method Development and Validation for Estimation of Brisoprolol Fumerate in Bulk and Pharmaceutical Dosage Form by UV Spectrometric Method
Abstract: The objective of the present work is to develop a new, rapid, simple, economical, precise, sensitive, linear and accurate, UV Spectrophotometric method has been developed. Phosphate buffer of pH 6.8 is used as solvent for the estimation of Brisoprolol Fumerate bulk and pharmaceutical formulation as per ICH guidelines. Spiked Brisoprolol Fumerate was checked over UV-visible extend for its wavelength of greatest absorbance. The wavelength of most extreme absorbance for Brisoprolol …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 9, Issue 1, 2022 · pp. 34–40 Read article
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Analytical Study of Marichyadi Gutika
Abstract: Today, movement for globalization of Ayurveda is going on in fast rush up. The world is in a fresh mood to accept this age-old health system too. Considering the significance of traditional practices in global health care, W.H.O. has been encouraging and promoting the traditional practices since past few decades. Hence, the standardization of raw drug, processing, finished products, revalidation of facts in classics, mechanism of action and testing for …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 11, Issue 2, 2023 · pp. 13–18 Read article
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Flash Chromtography and Its Analytical Application: A Review
Abstract: Different chromatography techniques such as TLC, HPTLC, HPLC etc. are mainly used for separation of mixture. The column chromatography was use in many laboratories for separation and purification of different components. The separation of components based on partitioning or adsorption of solute on stationary to purify the liquids and for reaction control in organic synthesis.Column chromatography is a time consuming process. Flash Chromatography is a development of novel preparative liquid …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 12, Issue 2, 2025 · pp. 56–76 Read article
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Supply Chain Optimization Using Big Data
Abstract: In the references to add productivity and short the appendences, and increase customer value, supply chain optimization is a very crucial part of contemporary business operations. Supply chain management has been transformed by the emergence of big data, which can provide analysis and insight from many different sources of information. This content explores the importance of using big data analytics to improve the delivery process. Thanks to the evolution of …
Published in Journal of Production Research & Management · Vol. 14, Issue 2, 2024 · pp. 19–25 Read article
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Advancements in Polymeric Capillary Materials for Chromatographic Applications
Abstract: Traditionally, glass capillaries have been the material of choice due to their inertness, transparency, and precision in delivering small sample volumes. However, glass capillaries have significant drawbacks, including fragility, limited flexibility, and difficulties in modification for specialized applications. Recent advancements in polymer chemistry have introduced novel polymeric capillary materials that offer several advantages over conventional glass capillaries. Additionally, they exhibit enhanced durability and resistance to a broad range of chemicals, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 137–144 Read article
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CIPHER Intelligence: AI-Powered Global Military Expenditure Analysis and Predictive Modeling
Abstract: Military expenditure analysis has emerged as a critical component of economic and geopolitical intelligence in the modern era. This paper presents CIPHER Intelligence, a comprehensive AI-powered platform for analyzing and predicting global military spending patterns across 211 countries spanning54 years (1970-2024). We employ advanced machine learning techniques, particularly Random Forest regression models, to achieve 99.5% prediction accuracy for military expenditure forecasting based on economic indicators. The platform integrates data from …
Published in Research & Reviews : Journal of Statistics · Vol. 15, Issue 1, 2026 · pp. 1–8 Read article
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Predicting Student Placement Readiness: A Machine Learning Approach Using Coding Activities and Multi-Dimensional Performance Indicators
Abstract: In the modern information-driven academic world, identifying student employability and placement preparedness has predicted. be made a part and parcel of academic planning and career. development. This study provides a machine learning-based. structure to evaluate and forecast student placement pre-paredness by combining various performance aspects-academic achieve- ment, coding activity, aptitude and behavioral engage-ment metrics. Multi-source was gathered and preprocessed in the study. student information, such as student records (CGPA, attendance), …
Published in International Journal of Education Sciences · Vol. 3, Issue 2, 2026 Read article
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A Review on Big Data
Abstract: AbstractThe goal of Big Data is to help organizations make better business decisions based on information by enabling researchers, data scientists and other analytics professionals to analyze large volumes of operational data, as well as other forms of data that may not be discovered by conventional Business Intelligence (BI) programs. This gives rise to the need for an analytical review of recent developments in the big data technology. Cloud services …
Published in Journal of Advanced Database Management & Systems · Vol. 3, Issue 3, 2016 · pp. 1–7 Read article
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Python: Empowering Data Science Applications and Research
Abstract: It was in 1991 that the first mention of Python came to light. Since it is one of the best programming languages, it is widely used in the data analytics industry. It is speedy, easy to use, and can smoothly alter data with no hiccups. It aids in the processes of data analytics generally, such as data collection, analysis, modelling, and visualization. Python stands out from other languages because it …
Published in Journal of Operating Systems Development & Trends · Vol. 10, Issue 1, 2023 · pp. 27–33 Read article
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Real Time Analysis of Twitter Data
Abstract: In last two decades, big data has emerged as one of the most trending fields of research. In today’s world, every minute, huge amount of structured and unstructured data is produced via various platforms. This data includes texts, images, and forums gathered from social media platforms. This increasing data implies a fundamental change in the way we analyze data since it is unable to analyze data using conventional methodologies and …
Published in Current Trends in Information Technology · Vol. 6, Issue 1, 2016 · pp. 6–14 Read article
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A Systematic Review of Method Development and Validation for Ramipril Analysis Using Hplc in Cardiovascular Research
Abstract: The field of analytical chemistry encompasses a variety of methods that are crucial in determining the chemical composition of different substances. UV-visible spectroscopy and high-performance liquid chromatography (HPLC) are two widely utilized methods that are the subject of this article. UV-visible spectroscopy uses the Beer-Lambert law to quantify light absorption, which can provide information about the concentration of absorbing species. The method is based on how light and matter interact, …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 15, Issue 2, 2024 · pp. 37–44 Read article
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Advanced Collaboration and Project Management Platform
Abstract: The growing dependence of employees on remote and hybrid working modes worldwide has driven a demand for modern collaborative platforms to optimize project management. All organizations are keen on solutions that enhance workflow efficiency, facilitate seamless communications, and boost overall productivity. The study presents an advancement in project management collaboration and aims at finding solutions to meet those demands, using API integration. The study explores the extent to which API …
Published in Journal of Web Engineering & Technology · Vol. 12, Issue 2, 2025 · pp. 11–18 Read article
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A Machine Learning Approach to Forecasting Outcomes in Limited Overs Cricket
Abstract: This study explores the application of machine learning techniques to forecasting outcomes in limited overs cricket matches, with a particular focus on One Day Internationals (ODIs). The research investigates how classification algorithms can be effectively utilized to analyze both contextual and dynamic factors that influence match results, including venue details, toss decisions, team strength, and historical performance records. By employing a structured methodology encompassing feature selection, data preprocessing, model training, …
Published in Recent Trends in Sports · Vol. 2, Issue 2, 2025 · pp. 09–19 Read article
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Recent Advancements and Comprehensive Review on Hyphenated Techniques
Abstract: Hyphenated techniques represent a powerful class of analytical methods that combine two or more established techniques – typically a separation method with a spectroscopic detection technique – to achieve enhanced analytical performance. First introduced by Hirschfeld in 1980, the term “hyphenation” refers to the online coupling of such methods, enabling more precise, sensitive, and comprehensive analysis of complex samples. These techniques exploit the strengths of individual methods while overcoming their …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 16, Issue 3, 2025 · pp. 37–50 Read article
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Deep Learning-Enhanced Polymer-Based Wearable Biosensors for Continuous Health Tracking via IoT
Abstract: The rapid proliferation of wearable biosensor technologies has transformed approaches to real-time health monitoring, yet challenges persist in achieving both mechanical robustness and reliable, continuous data analytics in dynamic environments. Conventional polymer-based sensing systems often fall short due to limited signal fidelity, inadequate adaptive analytics, or insufficient integration with secure, low-latency IoT frameworks. Addressing these deficiencies, this work introduces a flexible, deep learning-enhanced wearable biosensor platform that combines a nanostructured …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 18–31 Read article
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AI-Powered Solutions for Sustainable Waste Management in Construction Projects
Abstract: The construction industry is a significant contributor to global waste, posing challenges to sustainability and environmental health. This research explores AI-powered solutions for sustainable waste management in construction projects, focusing on optimizing waste reduction, recycling, and resource efficiency. By integrating machine learning algorithms and IoT-enabled sensors, real-time monitoring of waste generation and segregation can be achieved. Predictive analytics and AI-driven decision-making tools are employed to enhance material reuse and minimize …
Published in Recent Trends in Civil Engineering & Technology · Vol. 15, Issue 2, 2025 · pp. 1–5 Read article
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Modern Trends in Tungsten(VI) Analysis: From Smart Organic Reagents to High-Sensitivity Spectrophotometry
Abstract: The present review focuses on the spectrophotometric determination of tungsten(VI) using a wide range of organic reagents and their derivatives. Organic ligands have gained considerable importance in analytical chemistry due to their strong ability to form stable and highly colored complexes with tungsten(VI), which enhances the sensitivity and selectivity of spectrophotometric analysis. Various chromogenic reagents reported in the literature for tungsten(VI) determination have been critically examined and compared on the …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 17, Issue 2, 2026 · pp. 19–29 Read article