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1992 articles for “chemistry based nanofertilizers” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Algorithmic Encryption of Natural Numbers Based on the Collatz Conjecture
Abstract: This paper creates an encryption technique based on the well-known unresolved mathematical problem known as the Collatz conjecture. This conjecture states that every natural number larger than one eventually lowers to one by a set of precise procedures called the Collatz sequence. The study’s methodology associates these sequences’ terms with the Turkish alphabet’s letters. The Collatz transformation is applied to the integer that corresponds to each letter. The words created …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 11, Issue 3, 2024 · pp. 6–11 Read article
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Recent Advances in Atmospheric Physics and Chemistry: Composition, Dynamics, and Impacts
Abstract: The Earth's atmosphere is vital for sustaining life and regulating climate. This review explores key aspects of atmospheric physics and chemistry, including atmospheric composition, the dynamics of greenhouse gases, ozone depletion, and the effects of aerosols and atmospheric pollutants. The interaction between anthropogenic emissions and natural processes, such as the carbon and nitrogen cycles, is crucial for understanding climate feedback mechanisms. The impact of photochemistry on air quality and the …
Published in International Journal of Atmosphere · Vol. 1, Issue 2, 2024 · pp. 5–9 Read article
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The Molecular Structure of Chemical Compounds by using Quantitative Calculations in Chemistry
Abstract: Computational chemistry has its roots in the early attempts of theoretical physicists, beginning in 1928, to solve the Schrödinger equation using mechanical calculating machines. These calculations verified that the solutions of the Schrödinger equation quantitatively reproduced experimentally observed properties of simple systems such as the helium atom and the hydrogen molecule. These approximate solutions of larger systems and exact solutions of simple model problems allowed chemists and physicists to provide …
Published in Journal of Catalyst & Catalysis · Vol. 12, Issue 2, 2025 · pp. 01–08 Read article
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CMOS-Based Process-Scalable Analog Circuits for Machine Learning: A Comprehensive Review and Future Directions.
Abstract: Analog computing techniques are gaining attention for machine learning (ML) applications due to their ability to reduce computational complexity. Continuous operations such as addition and subtraction offer a simpler and more efficient approach compared to probabilistic product decoding, which can be sensitive to noise and inconsistent measurements. This paper presents a simulated VLSI implementation of a broadcast edge connection, independent of the MOS component model, along with experimental results. The …
Published in Journal of VLSI Design Tools and Technology · Vol. 15, Issue 1, 2025 · pp. 8–17 Read article
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Sign Language-enabled Offline IP-based Video Call Intercom System for the Deaf
Abstract: Individuals who are deaf or hard of hearing frequently encounter major communication challenges on digital platforms because sign language support is often insufficient. This study presents a real-time, internet-independent sign language-to-text translation system embedded in an offline IP-based video intercom, designed to facilitate seamless communication. Leveraging TensorFlow’s Convolutional Neural Network (CNN) for classification and MediaPipe for hand tracking, the system achieved a training accuracy of 94.24% and a validation accuracy …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 1, 2025 · pp. 53–66 Read article
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Abysmal Oddities of Brain in Neurological and Psychiatric Disorders Based on Sū’-i-Mizāj Māddῑ (Abnormal Substantial Temperament): Through The Lens of Greco-Arabic Medicine
Abstract: The mesmerizing history of neurological and psychiatric disorders relates to the history of humanity. The Unani philosophers apprehend neurological and psychiatric disorders superbly. They gave a conceptual understanding of the Sū’-i-Mizāj dimag and diagnosed neurological and psychiatric disorders wonderfully. Contrariwise, the Babylonians associated epilepsy, anxiety, depression, mania, and other psychiatric disorders with deities and demons earlier. To understand, analyse, and explain a comprehensive patho-physiology of neurological and psychiatric disorders, it …
Published in Research & Reviews : A Journal of Unani, Siddha and Homeopathy · Vol. 12, Issue 2, 2025 · pp. 30–42 Read article
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SaaS Platform of Blockchain Based E-document Authentication Applications
Abstract: This research paper compiles insights from multiple studies examining the integration of blockchain technology and digital signature mechanisms to enhance the security and integrity of digital documents. While technological advancements have significantly improved document management, certain governmental records still require paper-based formats, necessitating innovative methods to authenticate them through digital signatures and QR (quick response) codes. This study explores blockchain’s application in construction project management and electronic document handling, emphasizing …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 12, Issue 1, 2025 · pp. 13–19 Read article
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Evaluation of Agro-based Adsorbents for Oil Spill Remediation in Freshwater and Saltwater Environments: Kinetic and Adsorption Model Analysis
Abstract: Environmental pollution caused by oil spills poses significant risks to both human health and ecosystems, particularly in regions like Nigeria’s Niger Delta, where oil spills are frequent. Conventional methods for oil spill cleanup have limitations, which has prompted research into alternative, more effective techniques. This study investigates the use of agro-based materials, specifically plantain and banana species, combined with clay soil as adsorbents for oil removal in freshwater and saltwater …
Published in Journal of Petroleum Engineering & Technology · Vol. 15, Issue 2, 2025 · pp. 22–32 Read article
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A Majority Function Based Full Subtractor
Abstract: In the present landscape of very large-scale integration (VLSI) technology, the imperative to implement Boolean functions with minimal gate count remains a cornerstone of efficient circuit design. This pursuit has only grown more critical with the evolution of low-power design strategies, which now offer significantly enhanced benefits compared to traditional approaches. The trifecta of performance, affordability, and dependability continue to drive innovation in this field, shaping the trajectory of technological …
Published in Research & Reviews : Journal of Physics · Vol. 13, Issue 2, 2024 · pp. 8–14 Read article
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Polymer-Based Transparent Conductive Composites for Flexible Solar Panel Coatings
Abstract: This study investigates the fabrication and characterization of polymer-based transparent conductive composites (PTCCs) tailored for flexible solar panel coatings using poly(methyl methacrylate) (PMMA) and poly(ethylene terephthalate) (PET) matrices reinforced with silver nanowires (AgNWs), multi-walled carbon nanotubes (MWCNTs), and PEDOT:PSS. The composites were synthesized through a solution blending and doctor-blade casting method followed by post-treatments to enhance interfacial bonding and conductivity. Optical transmittance values above 85% were achieved across all composite …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 99–110 Read article
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Smart Agriculture: IoT-Based Automation and Monitoring for Enhanced Farming Efficiency
Abstract: This paper presents the development of an innovative agriculture automation and monitoring system designed to improve farming efficiency through the integration of low-cost sensors and microcontrollers. The system utilizes components such as PIR motion sensors, soil moisture sensors, DHT11 humidity sensors, and a relay motor pump for precise automation of irrigation and environmental monitoring. NodeMCU (ESP8266) acts as the primary controller, facilitating real-time data gathering and decision-making. Results show significant …
Published in International Journal of Electronics Automation · Vol. 3, Issue 1, 2025 · pp. 1–11 Read article
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Designing and Modeling of Giant Magnetoresistance (GMR) Materials based Devices in Electrical Power and Biomedical Systems
Abstract: This paper presents Designing and Modeling of Giant Magnetoresistance (GMR) Devices in Electrical Power and Biomedical Systems and the related materials. The GMR, inverse GMR, and Spin valve using exchange bias have been analytically derived and discussed from the designing point of view for optimizing the performance of the GMR based Devices in Electrical systems. More recently, GMR has been used in sensors, magnetic memory chips, and hard-disk read-heads. The …
Published in Research & Reviews : Journal of Physics · Vol. 14, Issue 1, 2025 · pp. 22–32 Read article
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Chemiluminescence: Recent Developments and Photochemical Applications in Analytical Chemistry
Abstract: Chemiluminescence (CL) is the observable production of electromagnetic radiation from a chemical reaction, typically in the form of ultraviolet, visible, or infrared light. According to subjective yield, CL has either been directly emitted from electronically excited intermediate products, or it has been supported by another molecule to emit CL. Since the 1950s, CL has been supported as a valid analytical tool, with the descriptive issued scope being limited to content …
Published in International Journal of Photochemistry and Photochemical Research · Vol. 2, Issue 1, 2024 · pp. 20–25 Read article
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CdS-Based Photocatalytic Nanostructures: A Promising Material for Various Environmental Applications
Abstract: Modern technological and industrial progress has significantly increased the use of chemicals in product development, leading to greater contamination of water sources by conventional pollutants (such as organic dyes and heavy metals) and harmful microorganisms. Wastewater treatment processes now reveal “emerging pollutants,” including pharmaceuticals, endocrine disruptors, and agricultural chemicals. Certain emerging pollutants, though harmless in some cases, can pose serious risks to various organisms. To address this, researchers are exploring …
Published in Research & Reviews : Journal of Physics · Vol. 14, Issue 1, 2025 · pp. 33–53 Read article
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An Innovative Approach to Find the Optimum Lubricant for Diverse Applications Based on Scikit-Learn Library Using Python
Abstract: This paper presents an innovative approach for finding the optimum lubricant using the Scikit-learn library in Python. The proposed approach uses a linear regression model to analyze a dataset of lubricant properties and performance, specifically the viscosity, wear, and friction. The model is trained on the dataset to predict the wear and friction for a given viscosity, which can be used to identify the optimum lubricant. By analyzing a dataset …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 25–35 Read article
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Bridging the Theory-Practice Gap in Nursing Education in India: Exploring the Role of Simulation-Based Learning and AI-Driven Education
Abstract: The theory-practice gap in nursing education is a persistent issue that hinders the effective application of theoretical knowledge in clinical practice, ultimately affecting the clinical competence and decision-making skills of nursing graduates. This study explores the factors contributing to the theory-practice gap in nursing education in India and evaluates the potential of simulation-based learning (SBL) and artificial intelligence (AI)-driven education in bridging this gap. A mixed-methods approach was employed, involving …
Published in Journal of Nursing Science & Practice · Vol. 15, Issue 2, 2025 Read article
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AI-based Drug Discovery-Revolutionizing Pharmaceutical Research
Abstract: The traditional drug discovery process is often costly, time-consuming, and prone to high failure rates. The advent of Artificial Intelligence (AI) has revolutionized this field by significantly enhancing efficiency, reducing costs, and improving success rates. AI-driven approaches, including machine learning (ML), deep learning (DL), and natural language processing (NLP), have transformed key areas such as drug target identification, molecular screening, lead optimization, and clinical trial design. AI models can analyze …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 12, Issue 2, 2025 · pp. 30–44 Read article
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Physical and Mechanical Properties of GGBS Based Geopolymer Concrete with the Inclusion of Metakaolin
Abstract: The use of ecologically friendly materials in the production of concrete is a significant and pertinent development in the global movement for sustainable construction. Geopolymer concrete (GPC) has gained popularity as an alternative to conventional Portland cement (OPC)-based concrete due to its utilisation of ground granulated blast furnace slag (GGBS), fly ash, and metakaolin, among other industrial by-products. The production of geopolymer concrete addresses serious environmental problems and contributes to …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 261–266 Read article
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Advanced Polymer-Based Packaging Composite with Metal Oxide Nanofillers: Synthesis, Characterization, and Applications
Abstract: The development of high-performance polymeric composites for food packaging applications has gained significant attention in recent years due to increasing concerns about food safety, durability, and environmental impact. The increasing demand for active packaging materials that not only protect food but also extend shelf life has led to extensive research into polymer-based antimicrobial composites. Traditional packaging materials, including plastics, ceramics, and metals, often lack bioactive properties and can contribute to …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 56–63 Read article
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Advances in Biodegradable Polymer-based Drug Delivery Systems
Abstract: An intriguing new approach to manage medication release that may assist with issues like making the therapeutic impact last longer, reducing the danger of side effects, and persuading patients to follow through with their treatment programs is biodegradable polymer-based drug delivery systems (DDS). By developing systems that can break down within the body, biodegradable polymers have revolutionised the way medications are administered. They so have less negative effects and do …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 326–338 Read article