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23 articles for “Pandas”
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Migrant Labor in Tea Plantations: Work Participation and Satisfaction in Cherambadi and Pandalur Region, the Nilgiris, Tamil Nadu
Abstract: The present study explored how satisfied migrant tea plantation workers were in the Cherambadi and Pandalur villages, Nilgiri district of Tamil Nadu, India. It uses a combination of research methods, drawing on both primary and secondary data sources to thoroughly examine the factors affecting job satisfaction among this specific group. The primary data collection involved surveys given to 150 respondents chosen from different tea estates in the region. These surveys …
Published in Research & Reviews : Journal of Food Science & Technology · Vol. 14, Issue 3, 2025 · pp. 9–14 Read article
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Design and Machine Work Involved in Fire-fighting Robot
Abstract: Due to a lack of technological advancement, battling fires has long been a dangerous job that frequently results in devastating losses. A human being is prone to error, and current firefighting techniques are ineffectual and inefficient. The use of robots rather than people to deal with fire dangers is a recent idea that has gained popularity. Our project entails building a robot that can recognise and put out a fire …
Published in Trends in Machine design · Vol. 9, Issue 2, 2022 · pp. 1–5 Read article
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Analysis of World Population Growth Using Python
Abstract: In this research work, we studied data analysis using the Python programming language. The fundamental steps in data analysis, such as cleansing, converting, and modelling of data is briefly explained in this study. In order to come up with good results, data analysis is required. Python has been used by us for data analysis. This language is interactive, interpreted, and follows an object-oriented programming paradigm. It is open source and …
Published in Recent Trends in Programming languages · Vol. 11, Issue 1, 2024 · pp. 15–20 Read article
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Modelling of The Viscoelastic Composite Curved Panel for The Time Domain Analysis Using TTBDF, β1 / β2−Bathe and Newmark Method
Abstract: Viscoelastic materials are extensively used in structures, especially thin-walled structures, for damping. The accurate modelling of the time domain dynamics of the viscoelastic material is essential for appropriately capturing the damping of the viscoelastic material. Various implicit and explicit time integration schemes are available to evaluate time domain response. However, the rightness of the implementation of the time integration scheme to the viscoelastic material model is very essential. In this …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 204–222 Read article
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Heat Transfer by Arc Welding for A Similar Material Joint
Abstract: Electric arc welding (EAW) is a traditional fabrication process used in wider domestic, commercial and industrial application. Welding is a joining of two materials with the application of heat at the molecular level with the application of heat and pressure. Many materials used for welding application for different joining process. Maraging steel is special steel used for production of different air-craft components. Maraging material is used for heavy tools, producing …
Published in Journal of Materials & Metallurgical Engineering · Vol. 15, Issue 2, 2025 · pp. 1–13 Read article
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Influence of Horizontal Crossflow on the Rayleigh-Taylor Instability: A Numerical Approach
Abstract: Rayleigh-Taylor Instability (RTI) is a typical occurrence in natural events, engineering, and industrial applications. When the lighter fluid (bottom medium) is forcing the heavier fluid (top medium) on top of the lighter fluid because of a gravitational field, then that phenomenon is called Rayleigh-Taylor instability (RTI). Despite extensive records of investigating this common phenomenon i.e., RTI with several unique boundary conditions, apparently, there are no prior investigations for the RTI …
Published in Research & Reviews : Journal of Physics · Vol. 14, Issue 1, 2025 · pp. 1–11 Read article
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Polymer Chemistry-Driven Approaches for Improved Therapeutic Delivery
Abstract: Polymer chemistry has revolutionized pharmaceutical technology by enabling the development of advanced drug delivery systems with improved precision, stability, and therapeutic outcomes. This review explores the role of polymer design, synthesis, and functionalization in the development of responsive and targeted drug carriers. Emphasis is placed on various types of polymers—biodegradable, synthetic, natural, and stimuli-responsive—and their suitability for drug delivery platforms such as nanoparticles, micelles, hydrogels, dendrimers, and implants. The physicochemical …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 Read article
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Harnessing Polymer Chemistry for Pharmaceutical Technology
Abstract: Polymer chemistry has emerged as a cornerstone of modern pharmaceutical technology, offering unprecedented control over drug formulation, delivery, and therapeutic performance. This review highlights the pivotal role of polymers—both synthetic and natural—in revolutionizing drug delivery systems across various routes, including oral, parenteral, transdermal, ocular, nasal, and pulmonary administration. Special emphasis is placed on the structural and functional versatility of polymers, which allows for tailored drug release profiles, enhanced bioavailability, and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1–6 Read article
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Psychometric Analysis of an Induced Cooling Tower in a Humid Condition
Abstract: An Induced Cooling Tower (ICT) is an energy transformation device that facilitates heat and mass transfer by leveraging ambient conditions. ICTs are particularly effective in applications requiring a large heat transfer surface area, utilizing evaporative cooling of ambient air to cool hot steam. The performance of an ICT is significantly influenced by ambient humidity and temperature, making these environmental factors critical in its design and operation. As such, ICTs are …
Published in Journal of Thermal Engineering and Applications · Vol. 12, Issue 3, 2025 · pp. 22–29 Read article
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Green Medicines in Drug Discovery
Abstract: The process of finding new leads for medicines using natural products is challenging. It discusses bioactive composites generated from natural resources, including phytochemical analysis, characterization, and pharmacological investigation. The success of these resources in the process of discovering unique and effective pharmacological combinations that may help mortal coffers is the primary focus. Natural goods have long been employed as a source of medicinal compounds, and they have shown promising results. …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 13, Issue 1, 2026 · pp. 32–48 Read article
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Polymers In Low-Resource Biomedical Innovation: Maker Labs, DIY Devices and Ethics
Abstract: The low-cost biomedical devices have been prototyped and sometimes put into practice by maker laboratories and community "DIY" (Do-It-Yourself maker) innovators due to the fast-growing availability of polymer-based fabrication (desktop 3D printing, laser cutting, and simple molding). Nowadays, polymers such as PLA, PETG, TPU, and PEEK are used in a wide range of applications, including surgical guides and anatomical models, as well as assistive technology and diagnostic housings. Such innovations …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 108–119 Read article
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Triple-Threat Analysis: Measuring Mythril, Slither and Oyente Against Real-World Smart Contract Vulnerabilities
Abstract: Smart contracts have become fundamental building blocks of blockchain ecosystems, yet their immutable nature makes security vulnerabilities particularly devastating. This pa- per presents a comprehensive evaluation of three prominent static analysis tools—Mythril, Slither, and Oyente—for detecting vulnerabilities in Ethereum smart contracts. Through systematic experimentation with real-world contract categories (voting sys- tems, land registries, and crowdfunding platforms), we quantify the effectiveness of each tool across eight critical vulnerability types, including reentrancy, …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 1, 2025 Read article
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Intelligent Earth: AI As A Catalyst For Climate Action
Abstract: Artificial Intelligence (AI) is assuming an increasingly influential role in climate science, providing advanced tools capable of interpreting vast, complex, and multi-dimensional environmental datasets. Traditional climate modeling approaches, while grounded in physical principles, frequently struggle to deliver high-resolution, real-time, and region-specific forecasts because of heavy computational demands, incomplete observations, and uncertainties in representing small -- scale processes. Artificial intelligence (AI) techniques, especially machine learning and deep learning, provide strong substitutes …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 4, Issue 1, 2026 · pp. 48–52 Read article
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Quasar: Quantum-Accelerated Sustainable Anomaly Recognition in Climate Systems
Abstract: Accurate detection of climate anomalies is vital for disaster alleviation and policy making in a sustainable manner, but customary detection methods face the challenges of computational inefficiency and physical inconsistency. In this study, we propose a novel approach called Quantum-Optimized Fuzzy Physics-Informed Neural Networks (QFuzzy-PINNs), which integrates quantum computing, fuzzy logic, and physics-informed deep learning. As a first step, we employ quantum annealing for conventional optimization to adjust multiple Gaussian …
Published in International Journal of Climate Conditions · Vol. 2, Issue 2, 2025 · pp. 18–27 Read article
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Strategies for the Development and Optimization of Orally Disintegrating Tablets (ODTs) to Improve Bioavailability and Patient Compliance
Abstract: Background: Pharmaceutical scientists have developed Orally Disintegrating Tablets (ODTs) to advance patient drug acceptance and biological system availability through simplified medi-cation delivery especially for children and senior citizens and people who cannot swallow pills regularly. The oral disintegrating tablets dissolve in the mouth within thirty seconds or less (USP 701) while needing no additional liquid thus making them suitable for both emergency treatments. Objective: The research examines ODT development strategies …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 13, Issue 2, 2026 Read article
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Real-Time Analysis of E-Waste Monitoring Using Data Visualization in Power BI
Abstract: The exponential growth of electronic waste (e-waste) in India poses significant environmental and public health challenges, necessitating robust monitoring, management, and disposal strategies. This project, Real-time analysis of e-waste generated across different countries in the world and also survey report of India, seeks to provide a comprehensive assessment of e-waste production patterns, utilizing real-time data to capture dynamic shifts in waste generation and collection. By leveraging Power BI for advanced …
Published in Journal of Remote Sensing & GIS · Vol. 16, Issue 2, 2025 · pp. 1–7 Read article
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Comprehensive Review of Recycled Aggregate Concrete in Construction: Suitability, Properties, and Sustainable Practices
Abstract: Concrete production, integral to construction and demolition processes, generates substantial waste. This waste can be repurposed as recycled aggregates in new concrete production, offering sustainable solutions and addressing resource management and environmental concerns. This literature review explores the utilization of construction and demolition waste as aggregates in recycled aggregate concrete (RAC), with a focus on key areas, including the suitability of RAC, its fresh properties, mix design, mechanical characteristics, and …
Published in Recent Trends in Civil Engineering & Technology · Vol. 14, Issue 1, 2024 · pp. 1–8 Read article
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Machine Learning Based House Price Forecasting
Abstract: This research endeavours to craft a predictive model leveraging machine learning to estimate the market value of houses in Delhi. By integrating Python and its powerful libraries, pandas for data processing, Plot for interactive visualizations, scikit-learn for implementing machine learning algorithms, XGBoost for boosting the model's prediction accuracy, and to evaluate the model's performance cross-validation techniques are used. An interactive user interface is created using a Flask web application to …
Published in Current Trends in Information Technology · Vol. 14, Issue 1, 2024 · pp. 5–11 Read article
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Rise of Python: Analyzing Its Dominance in 2023 Programming Trends
Abstract: The study is on how Python rose as a leading programming language in 2023 and what are the top reasons of this ubiquitous utilization among industries. The Python programming language has been a go-to choice for both beginners and developers alike, courtesy of its versatility in working over various domains like Data Science, Machine Learning Web Development Automation etc. By having a vast library and framework ecosystem, supported by popular …
Published in Recent Trends in Parallel Computing · Vol. 11, Issue 2, 2024 · pp. 43–47 Read article
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Fake Cryptocurrency Detection Using Python
Abstract: This study investigates the use of Python-based techniques for detecting fraudulent cryptocurrencies, addressing a growing concern in the digital financial ecosystem. The research methodology integrates various data science approaches, including web scraping, API integration, and advanced data analysis using Pandas and NLTK. Machine learning models, particularly classification algorithms such as Random Forest, are employed to analyze key features extracted from cryptocurrency whitepapers, social media discussions, and transactional data. By training …
Published in Recent Trends in Programming languages · Vol. 12, Issue 1, 2025 · pp. 1–7 Read article