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1953 articles for “NBR/CR blends” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Fertile Data: Advanced Strategies for Crop Optimization Through Machine Learning Processing
Abstract: The venture, titled "FertileData: Advanced Strategies for Crop Optimization Through Machine Learning processing" is created utilizing HTML, CSS, and JavaScript for the front conclusion, and Python for the back conclusion. In a nation like India, where a noteworthy parcel of the populace depends on agribusiness for their vocation, joining progressed advances such as Machine Learning and Profound Learning into cultivating hones can revolutionize the industry. This venture presents a user-friendly …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 14, Issue 2, 2025 · pp. 25–35 Read article
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Review paper on CRUD Operations:Using Arrays , mongoDB for data storage.
Abstract: This project presents a simple implementation of a CRUD (Create, Read, Update, Delete) web application using only arrays for data storage instead of a traditional database. Built with Node.js and Express, the app demonstrates core concepts of data manipulation and RESTful routing. It provides a lightweight framework suitable for educational purposes and early-stage prototyping where database integration is unnecessary. The system handles user- generated posts and operates fully in- memory, …
Published in Journal of Web Engineering & Technology · Vol. 12, Issue 2, 2025 Read article
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A review on Design of Gene Therapy and Its Potential for Craniofacial Regeneration
Abstract: One of the most talked-about topics of the 21st century is gene therapy, which holds the promise of treating many diseases. Current gene therapy research explores a wide range of potential treatments, such as enhancing the body’s immune response to tumors, promoting the formation of new blood vessels in the heart to mitigate heart attacks, and preventing HIV replication in AIDS patients. Gene therapy involves the introduction, alteration, or replacement …
Published in Emerging Trends in Personalized Medicines · Vol. 2, Issue 2, 2025 · pp. 6–12 Read article
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Judicial Oversight of Biometric Evidence and The Role of Polymer and Composite Technologies in Indian Criminal Trials
Abstract: This paper critically looks at changes that have taken place in the role of forensic science in the remodeled Indian criminal justice system and how the modern law has deviated since the colonial laws. With the changing of reformatory model of justice to a more balanced one that suggests fairness and due process, the study lends weight to the increasing cases of clarity, consistency and control in the field of …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 141–152 Read article
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Epipelic Algae Assemblage and Nutrient Status as Indicators of Pollution in Alice Creek, Rivers State, Nigeria
Abstract: Background and Objective: Alice creek is a tributary of the Sombreiro River, Akuku-Toru Local Government Area, Rivers State, Nigeria, receiving various anthropogenic wastes. The study investigated the species composition, diversity, abundance, and distribution of epipelic algae, and the nutrient status of Alice creek, a tributary of Sombreiro river, Rivers State, Nigeria. Materials and Methods: Epipelic and nutrients samples were collected monthly between February and May 2020 from three (3) stations …
Published in International Journal of Marine Life · Vol. 2, Issue 2, 2025 · pp. 12–20 Read article
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Algebraic Foundations of AES (Advanced Encryption Standard): Group Theory and Finite Field Applications in Symmetric Cryptography
Abstract: This paper presents a mathematical study of symmetric cryptographic algorithms, with a particular emphasis on the Advanced Encryption Standard (AES), which is one of the most widely used encryption schemes in modern security applications. The study highlights how abstract mathematical frameworks such as group theory, finite fields, and vector space concepts provide the foundation for the design, implementation, and analysis of AES. By approaching the algorithm from a mathematical perspective, …
Published in Recent Trends in Mathematics · Vol. 2, Issue 1, 2025 · pp. 12–16 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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Accident Avoidance and Crash Detection Using GSM and GPS
Abstract: The Accident Avoidance and Crash Detection system is designed to enhance vehicle safety by utilizing real-time accident detection, speed tracking, and automated crash prevention mechanisms integrated with GSM and GPS technologies. The system incorporates an accelerometer to identify abrupt changes in acceleration, indicating a potential collision. Upon detecting an accident, the system automatically transmits an alert message with the vehicle's GPS location to a designated mobile number using GSM technology, …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 13, Issue 3, 2025 · pp. 01–12 Read article
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Advancements in Agricultural Forecasting: A Review of Machine Learning Based Crop Yield Prediction
Abstract: Agricultural productivity plays a critical role in global food security, and accurate crop yield prediction is essential for optimizing resource allocation and decision-making in farming. The rapid advancements in Machine Learning (ML) and Deep Learning(DL)have transformed agricultural forecasting, enabling data-driven approaches for crop prediction. This review paper provides a comprehensive analysis of various ML and DL techniques applied in crop yield forecast, highlighting the ineffectiveness, challenges, and future directions. The …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 14, Issue 3, 2025 · pp. 32–38 Read article
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APPLICATIONS OF NANOTECHNOLOGY IN CROP IMPROVEMENT: NEW ERA OF AGRICULTURE
Abstract: It represents a transformative force in agriculture, promising to improve the productivity, yield, sustainability, and food security. This review paper focused on the certain advantages of nanoscience and nanotechnology in enhancing the agricultural productivity, disease management, and food safety. By manipulating different materials and objects at the nanoscale, researchers can develop advanced tools such as smart sensors and targeted delivery systems that improve nutrient absorption and combat plant pathogens. By …
Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 15, Issue 3, 2025 · pp. 46–54 Read article
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Fertiledata: Advanced Strategies For Crop Optimization Through Machine Learning Processing
Abstract: The venture, titled "Fertile Data: Advanced Strategies for Crop Optimization Through Machine Learning processing" is created utilizing HTML, CSS, and JavaScript for the front conclusion, and Python for the back conclusion. In a nation like India, where a noteworthy parcel of the populace depends on agribusiness for their vocation, joining progressed advances such as Machine Learning and Profound Learning into cultivating hones can revolutionize the industry. This venture presents a …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 14, Issue 2, 2025 · pp. 25–35 Read article
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Kinetics of Crystallization and Microstructural Evolution of Commercial Fluorophlogopite Machinable Glass- Ceramics in the System SrO∙4MgO∙Al2O3∙ 6SiO2∙2MgF2 with Varying in B2O3
Abstract: Glass materials based on fluorophlogopite stoichiometry with varying concentrations of B₂O₃ were synthesized using the melt-casting method, followed by heat treatment at different crystallization temperatures. The resulting glass and glass–ceramic samples were characterized using differential thermal analysis (DTA), scanning electron microscopy (SEM), X-ray diffraction (XRD), and Fourier-transform infrared (FT-IR) spectroscopy. Kinetic analysis revealed that the activation energies required for the formation of glass–ceramics were 192.77 kJ mol⁻¹ and 210.47 kJ …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 12, Issue 3, 2025 · pp. 1–16 Read article
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Development and Evaluation of a Cost-Effective UV-Protective Cream Containing Para-Aminobenzoic Acid and Aloe Vera for Indian Climatic Conditions.
Abstract: The increasing incidence of ultraviolet (UV) radiation-induced skin disorders has heightened the demand for effective, affordable photoprotective agents, especially in countries with high sun exposure such as India. This study aimed to develop a cost-effective and efficient UV-B protective cream formulation suitable for populations in Indian latitudes. Para-aminobenzoic acid (PABA) was selected as the primary sunscreening agent due to its high UV-B absorption efficiency, low toxicity, and affordability compared with …
Published in Recent Trends in Cosmetics · Vol. 2, Issue 2, 2025 · pp. 7–18 Read article
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The Effect of Rare Earth (RE) Metal Doping of Zno, On Magnetic and Optical Properties of Zno Crystals Structure
Abstract: The magnetic and optical properties of magnetic semiconductors relays on the crystal structure, type and amount of dopant ions, and particle size. Then, the effect of rare earth metal (Dy, Eu, and La) doping on crystal structures, magnetic properties and optical properties are seen. It is revealed that the optical band gap of ZnO decrease down from 3.37eV up on doping with RE metals. Then, the Hamiltonian of the system …
Published in International Journal of Crystalline Materials · Vol. 2, Issue 2, 2025 · pp. 28–40 Read article
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A Comprehensive Analysis of Machine Learning Models for Credit Card Fraud Detection
Abstract: This paper presents an indepth comparison of various machine learning models—Logistic Regression, Support Vector Classification (SVC), and Neural Networks (NN)—in the context of credit card fraud detection. The analysis spans multiple performance metrics, including accuracy, F1 score, precision, recall, and computational efficiency. Logistic Regression demonstrates competitive performance in terms of accuracy, but its poor precision renders it unsuitable for fraud detection tasks. Conversely, the Neural Network exhibits balanced precision and …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 3, 2025 Read article
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Managing Blow-by in Modern Engines: A Comprehensive Review of Crankcase Ventilation Technologies
Abstract: Blow-by in internal combustion (IC) engines occurs when high-pressure combustion gases escape past the piston rings into the crankcase. These gases typically carry oil aerosols, unburned hydrocarbons, and fine particulate matter, which, if not effectively managed, can disrupt lubrication, accelerate component wear, and contribute to harmful emissions. Effective crankcase ventilation is therefore essential not only for ensuring engine durability but also for meeting increasingly stringent emission regulations. This paper examines …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 317–324 Read article
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Bioremediation of Crude Oil-Contaminated Loamy Soil Using Plantain (Musa Paradisiaca) Stem Waste as a Biostimulant
Abstract: Crude oil contamination of soil is a pressing environmental challenge in oil-producing regions, especially in the Niger Delta of Nigeria. It degrades soil fertility, disrupts microbial ecosystems, and poses long-term ecological and health risks. Traditional remediation methods are often cost- prohibitive and environmentally intrusive, prompting the search for sustainable alternatives. This study investigates the potential of plantain (Musa paradisiaca) stem waste – a readily available agricultural byproduct – as a …
Published in Emerging Trends in Chemical Engineering · Vol. 13, Issue 1, 2026 · pp. 1–11 Read article
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Intelligent automated railway crossing gate control system
Abstract: The high incidence of accidents at railway level crossings due to human errors and lack of proactive track monitoring is a challenge for rail safety in high-density networks. This paper proposes the development and validation of an intelligent automated railway crossing system- IARCS that leverages sensor fusion and IoT communication to eliminate human dependency and mitigate intrusion risks. The core system deploys an Arduino Uno for the purpose of primary …
Published in Journal of Microcontroller Engineering and Applications · Vol. 13, Issue 1, 2026 · pp. 20–28 Read article
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Experimental Exploration of Crack and Damage Dynamics of Hybrid FRP Nano Composites
Abstract: Fiber-reinforced polymer (FRP) composites have become essential materials in modern engineering structures because of their excellent strength-to-weight ratio, corrosion resistance, and adaptability in design. Among different fracture modes, Mode I interlaminar fracture where cracks propagate under tensile opening stresses is one of the most critical forms of damage in layered composites. Since delamination occurs within the matrix-rich regions between plies, improving the matrix properties plays a key role in enhancing …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 220–232 Read article
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The Muse as Co-Creator: Rani Mrignayani and the Evolution of the Gwalior Dhrupad Tradition
Abstract: This study challenges the old history books that treat women in Indian music simply as romantic inspirations rather than active creators. Looking back at the bustling royal court of 15th-century Gwalior, the research proves that Queen Mrignayani was far more than just a muse; she was an essential co-creator of modern North Indian classical music. The research paper explores how King Man Singh Tomar’s royal support perfectly combined with Mrignayani’s …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 16, Issue 1, 2026 Read article