Search
627 articles for “Hybridization”
-
Mechanisms of Crystal Growth: From Spiral Steps to Surface Adhesion
Abstract: Crystal growth is a complex interplay between thermodynamic stability and kinetic processes, influenced heavily by the conditions under which crystallization occurs—particularly the degree of supersaturation. This abstract outline three principal regimes of solution-grown crystal growth: defect-driven, two-dimensional, and adhesive growth. At low supersaturation, growth is facilitated at surface defects, such as screw dislocations, where energy barriers to attachment are minimized. This results in the formation of spiraling steps that propagate …
Published in International Journal of Crystalline Materials · Vol. 2, Issue 1, 2025 · pp. 46–31 Read article
-
Graphene-Polymer Nanocomposites for Drug Delivery Applications
Abstract: Graphene-polymer nanocomposites (GPNCs) have gained significant attention in drug delivery due to their exceptional physicochemical properties, including high surface area, mechanical strength, tunable functionality, and biocompatibility. These nanocomposites integrate graphene derivatives, such as graphene oxide (GO) and reduced graphene oxide (rGO), with biocompatible polymers to enhance drug loading efficiency, stability, and controlled release. Various natural (chitosan, alginate) and synthetic (PLGA, PEG, PCL) polymers are used to functionalize graphene, enabling targeted …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 362–374 Read article
-
Role of Machine Learning Principles for Efficient Nuclear Fuel Management and Design
Abstract: The introduction of machine learning (ML) and evolutionary computation methods in addressing complex nuclear fuel management challenges has brought a significant positive change in the domain of nuclear fuel management. Key applications include fuel assembly design optimization, core loading pattern determination, burnup calculation acceleration, fuel performance prediction, and spent fuel characterization. The analysis reveals significant improvements in computational efficiency, prediction accuracy, and optimization capabilities when ML techniques are properly integrated …
Published in Journal of Nuclear Engineering & Technology · Vol. 15, Issue 2, 2025 · pp. 22–33 Read article
-
Doppler Limits of LoRa in LEO: A Critical Review of the First In-Orbit Flight Tests
Abstract: This study provides a comprehensive review of the seminal work by Zadorozhny et al., which presented the first in-orbit flight test results evaluating the impact of Doppler effects on LoRa modulation for Low Earth Orbit (LEO) satellite communications. The review summarizes the original study's methodology using the NORBY CubeSat, details its key findings regarding the operational limits imposed by static and dynamic Doppler shifts across various LoRa configurations (Spreading Factor …
Published in Recent Trends in Electronics Communication Systems · Vol. 12, Issue 2, 2025 · pp. 21–27 Read article
-
Enhancing Production Line Efficiency: Simulating and Optimizing Single and Parallel Line Processes
Abstract: During a time of fast-paced industrial growth, increasing production line effectiveness is a core issue for manufacturers looking to maximize output, reduce waste, and stay competitive. This study explores the use of simulation-based optimization methods to enhance single and parallel production line designs. Stepping beyond traditional trial-and-error methods, the research utilizes Siemens Tecnomatix Plant Simulation to simulate actual manufacturing scenarios, considering intricacies like buffer capacities, machine sequencing, and event-driven scheduling. …
Published in Journal of Production Research & Management · Vol. 15, Issue 1, 2025 · pp. 22–32 Read article
-
Study of Energy Efficiency in IoT Devices
Abstract: The Internet of Things (IoT) is transforming industries and daily life by connecting billions of devices, yet its growth presents significant energy efficiency challenges. This paper explores strategies to address these challenges by investigating energy harvesting techniques and low-power communication protocols. Energy harvesting methods, including solar, kinetic, and thermal energy, offer sustainable alternatives to traditional battery-powered IoT devices, reducing dependency on non-renewable resources and enabling longer operational lifetimes. Simultaneously, low-power …
Published in Journal of Remote Sensing & GIS · Vol. 16, Issue 2, 2025 · pp. 34–40 Read article
-
An Overview of Natural Fibers and Fillers Reinforced Polymer Composite Materials
Abstract: Polymer composite materials reinforced with natural fibers and fillers are drawing wide spread attention due to their sustainability, eco-friendliness, and a replacement of conventional synthetic composites. Such materials combine strength and stiffness of natural fibers like jute, hemp, flax, and sisal with flexibility and durability of polymer matrices, including thermoplastics, and thermosets. The paper reviews some developments, properties, and applications of natural fiber-reinforced polymer composites (NFRPCs), focusing on their merits, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 78–92 Read article
-
Comparative Review of Innovations in Self-Compacting Concrete (SCC) Technologies
Abstract: Self-compacting concrete (SCC) is a revolutionary material in contemporary construction, with better workability and lower labor requirements without any sacrifice in strength or durability. The latest advances have been in terms of furthering its environmental and performance attributes by using different materials and methods. One of them is substituting ordinary Portland cement with high-volume fly ash and calcined calcium carbonate (BCC), cutting CO₂ emissions by as much as possible while …
Published in Journal of Construction Engineering, Technology & Management · Vol. 15, Issue 3, 2025 · pp. 99–103 Read article
-
Breakthroughs in Solar and Wind Energy Technologies
Abstract: The increasing urgency to combat climate change and transition toward sustainable energy systems has positioned solar and wind energy as cornerstone technologies in the global energy landscape. This paper, titled “Breakthroughs in Solar and Wind Energy Technologies,” explores recent innovations and trends that have significantly enhanced the efficiency, reliability, and affordability of these renewable energy sources. Key advancements discussed include breakthroughs in photovoltaic technologies, such as perovskite solar cells and …
Published in Journal of Thermal Engineering and Applications · Vol. 12, Issue 3, 2025 · pp. 1–9 Read article
-
Synthesis and characterization of mixed SnO2-ZnO Nano composites material to study the kinetics of catalytic reduction of Aromatic Nitro compounds
Abstract: A straightforward and cost-effective method was employed to synthesize zinc oxide (ZnO) nanostructures supported on tin oxide (SnO₂) for catalytic applications. This hybrid nanocomposite, formed by integrating ZnO with SnO₂, exhibited impressive catalytic activity in the reduction of various nitro compounds. The synergistic interaction between ZnO and SnO₂ significantly enhanced the surface area and active sites of the catalyst, thereby improving its overall efficiency. The resulting SnO₂-ZnO nanocomposite not only …
Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 15, Issue 3, 2025 · pp. 8–14 Read article
-
A Comprehensive Analysis of Novel Liposomes: Categorization, Approach, Description, and Present Formulations
Abstract: Liposomes have gained attention as a promising drug delivery system, which come with the advantages of biocompatibility, ability to load hydrophilic and hydrophobic drugs, and they can function for targeted drug delivery. In this regard, this paper offers a comprehensive overview on novel liposomes, including classification, formulation strategies, detailed structures, and current pharmaceutical applications. Recent advances in liposomal drug delivery systems includes, new liposomal architectures (i.e. stealth, targeted, stimuli-responsive, hybrid …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 12, Issue 2, 2025 · pp. 15–20 Read article
-
Evaluating Chassis Designs for Gesture-Driven Robots: A Study of Iron, Acrylic, and 3D Printed Solutions
Abstract: Gesture-driven robotic systems are becoming increasingly relevant in applications such as assistive technology, industrial automation, and interactive systems. The choice of chassis material plays a crucial role in determining the robot's mechanical strength, weight, and ease of fabrication. This study systematically evaluates three chassis materials—iron, acrylic, and 3D printed polymers—to determine their suitability for gesture-controlled robots. A standardized robotic configuration, including two rear motors, two front dummy axles, an L298N …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 686–692 Read article
-
Perspectives of 3D-Printed Polylactic Acid-Based Composites Reinforced with Natural Fibers
Abstract: The growing demand for sustainable and biodegradable materials has led to the development of polylactic acid (PLA)-based composites reinforced with natural fibers. This study investigates the mechanical, thermal, printability, and environmental performance of 3D-printed PLA/Natural Fiber composites, addressing key challenges in fiber-matrix compatibility, structural integrity, and biodegradability. Natural fiber reinforcement enhanced Young’s modulus and flexural strength, but excessive fiber content led to agglomeration, reduced tensile strength, and increased brittleness. Thermal …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 649–664 Read article
-
Low-Grade Heat Recovery: Emerging Materials and Systems for Efficient Utilization
Abstract: Low-grade heat (LGH), generally characterized by temperatures below 200°C, constitutes a significant portion of wasted thermal energy in industrial, commercial, and even residential processes. Despite its vast availability, the efficient recovery and utilization of LGH remains underdeveloped due to its inherently low exergy content and the limitations of traditional heat recovery technologies. The creation of cutting-edge materials and creative system-level approaches for LGH recovery has accelerated significantly as companies continue …
Published in International Journal of Energy and Thermal Applications · Vol. 3, Issue 1, 2025 · pp. 24–29 Read article
-
English Literature in the Digital Era: Transformations and Trends
Abstract: English literature context has been changed significantly with modernisation of the digital age that is creating a massive impact on creation, dissemination, and interpretation of literature. When one considers the relationship between literature and digital innovation, one may summarize these disruptive forces as both a challenge to and opportunity for literature — a hybridization of past forms. It explores how digital technologies have transformed reading practices, textual analysis, and the …
Published in Emerging Trends in Languages · Vol. 2, Issue 2, 2025 · pp. 27–32 Read article
-
Brain Tumor Detection by Aggregating Deep Learning and GAN Models for Faster MRI image Synthesis
Abstract: Brain tumors comprise a global health challenge that, in order to be treated and organized, need early and accurate diagnosis. Usually conducted through medical imaging, brain tumor detection techniques have problems of accuracy, efficiency, and confidentiality. Issues of limited datasets, strict privacy laws that provide restrictions on data sharing, and the necessity for specialized expertise on medical image analysis relegates modern methodologies to vulgar charades. For patient prognosis, treatment planning, …
Published in International Journal of Brain Sciences · Vol. 2, Issue 2, 2025 · pp. 45–53 Read article
-
Advancements in Humanoid Robot Locomotion: A Review of Control Strategies and Kinematic Models
Abstract: Humanoid robot locomotion has significantly improved over the past few decades, driven by improvements in control strategies and kinematic models. Researchers aim to develop robots that can walk, run, and navigate complex terrains with efficiency and stability. This review explores recent developments in humanoid locomotion, highlighting control strategies such as model predictive control, reinforcement learning, and central pattern generators. Additionally, it examines kinematic models, including inverted pendulum models and zero …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 3, Issue 1, 2025 · pp. 24–30 Read article
-
Review of Thermal Performance of Solar Air Heaters: Influence of Composite Materials and Advanced Thermal Storage Techniques
Abstract: Solar air heaters (SAHs) are essential devices for capturing solar energy and converting it into heat, finding applications in steam generation, refrigeration, agricultural drying, and space and water heating in residential and commercial environments. However, the thermal performance of SAHs is often limited by the low heat transfer coefficient of air and the absence of solar energy during nighttime, impacting efficiency and reliability. To address these challenges, this study explores …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 488–506 Read article
-
Polymer Chemistry and Composite Materials in Biomedical Applications
Abstract: The integration of polymer chemistry and composite materials has revolutionized biomedical applications. Recent advancements in polymer synthesis, functionalization, and nanotechnology have further expanded their applications, leading to significant improvements in biocompatibility, biodegradability, and mechanical performance. These polymeric carriers protect bioactive compounds from enzymatic degradation, enable controlled drug release, and improve therapeutic efficacy. The integration of polymer chemistry with nanotechnology has enabled the development of highly efficient, targeted therapeutic systems that …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 413–419 Read article
-
A Comparative Study of Deep Learning Methods for Depression Detection in Social Media Data
Abstract: With the rise of social media platforms like Twitter, Reddit, and Facebook, individuals increasingly share personal information about their moods, behaviors, and mental states. This trend provides a unique opportunity to leverage large-scale textual data for understanding and monitoring mental health conditions, particularly depression, a prevalent and challenging mental health issue. Traditional depression assessments are often confined to clinical environments and lack the capacity for real-time monitoring. In contrast, social …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 3, 2025 · pp. 55–65 Read article