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91 articles for “structural and functional networks”
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Standardization of Structural and Functional Brain Integration in Cannabis Users
Abstract: Cannabis is one of the most widely used and commercialized illegal drugs worldwide, notably amid young adults. The neurobiological mechanisms of cannabis, particularly in adolescents, have yet to be identified. The purpose of the present study was to evaluate a cohort of 73 cannabis users (aged 22–36years, 19 females) and his 73 healthy controls (aged 22–36, females). We observed some momentous differences in local structural/functional network measures (such as grade …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 10, Issue 1, 2023 · pp. 1–17 Read article
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Development of Game Theory Strategy for Estimating Mobility Variety in Approaching Wireless Networks
Abstract: Game theory designed with a set of structured tools with an evaluation tool for the tedious interaction among logical players. This theory approaches for analyzing of communication networks, which functions with autonomous structured networks and the designed network devices can take rational decisions according to network congestion. The proposed structure consists of mixture frame for channel allocation for random probability for accessing channel. The main objective of this work is …
Published in Recent Trends in Electronics Communication Systems · Vol. 8, Issue 3, 2021 Read article
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Polymer Chemistry and Nanocomposite Network Design of PEGDA-Based Hydrogels
Abstract: The chemical structure and crosslinking density of polyethylene glycol diacrylate (PEGDA) can be systematically tailored, making it a versatile polymeric network in biomedical engineering, drug delivery, tissue engineering, biosensing and advanced manufacturing. PEGDA is a polymerizable acrylate-functionalized hydrophilic PEG that can be polymerized to make three-dimensional networks via free-radical polymerization, specifically photoinitiated. The resulting network architecture depends on the PEGDA molecular weight, the concentration of precursors, the polymerization conditions, the …
Published in Journal of Polymer & Composites · Vol. 14, Issue 5, 2026 Read article
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Dissipative Particle Dynamics Simulation Study on the Evolution of Photoinitiated Free Radical Polymerization Crosslinked Networks
Abstract: Gradient polymer materials overcome the limitations of conventional homogeneous polymers by integrating multiple distinct functionalities within a single continuous structure. Although photoinitiated free-radical polymerization offers excellent spatial and temporal control, the underlying microscopic mechanisms governing network evolution under non-uniform light fields remain poorly understood. In this study, a mesoscale dissipative particle dynamics (DPD) model was successfully developed to couple free-radical polymerization kinetics—including initiation, propagation, crosslinking, and termination—with exponential light attenuation …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 142–158 Read article
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Magnetic Metal–Polymer Composites with Ferromagnetic Particle Networks for EMI Shielding in Flexible Electronics
Abstract: The rapid expansion of flexible and wearable electronic systems has intensified the demand for lightweight, mechanically compliant materials capable of effective electromagnetic interference (EMI) shielding. In this study, magnetic metal–polymer composites with magnetically aligned ferromagnetic particle networks were developed and systematically investigated for EMI shielding in flexible electronics. Thermoplastic polyurethane (TPU) was employed as an elastomeric polymer matrix due to its excellent flexibility, dielectric characteristics, and compatibility with particulate fillers. …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 25–39 Read article
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ALADIN and its Protein Interactions with the Nucleoproteins: An Insilico Analysis
Abstract: The nuclear pore complex (NPCs) are big, protein complexes made up of multiple units that traverse the nuclear envelope (NE), establishing a discerning channel between the cytoplasm and nucleus for the nucleocytoplasmic transport. It has different roles in cellular processes, like cell-cycle progression, control of gene expression, and signal transduction. NPC is a vast and complex structure, compiled from almost 30 proteins, termed nucleoporins. Earlier studies have shown that each …
Published in Research and Reviews : Journal of Computational Biology · Vol. 7, Issue 1, 2018 · pp. 28–31 Read article
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The Comparison in Time Series Forecasting of Air Traffic Data by Autoregressive Integrated Moving Average Model, Radial Basis Function and Elman Recurrent Neural Networks
Abstract: Nowadays, nonlinear time series and artificial neural networks (ANN) models are used for forecasting in the field of business, agriculture and soon. Recent studies have shown, ANN have been successfully used for forecasting of financial and agriculture data series The classical methods used for time series prediction like Box-Jenkins or ARIMA assumes that there is a linear relationship between inputs and outputs. ANN have more advantages that can approximate to …
Published in Research & Reviews : Journal of Statistics · Vol. 7, Issue 3, 2018 · pp. 75–90 Read article
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Design Optimization of Microstrip Antenna with EBG and DGS Using the Genetic Algorithm to Reduce the Mutual Coupling
Abstract: The purpose of this paper is to construct, create, and reproduction of different antenna structures using electromagnetic band gap (EBG) materials and defected ground structures (DGS). Microstrip antennas are processed in order to improve performance by changing the shape of the geometry of the antenna, in particular to reduce the mutual coupling between the elements. The propagation of electromagnetic waves in a specified frequency range have the unique ability to …
Published in Journal of Microwave Engineering and Technologies · Vol. 3, Issue 1, 2016 · pp. 11–30 Read article
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A Comprehensive Review on Brain Tumour Classification through Deep Learning Utilizing Convolutional Neural Networks
Abstract: Abstract- Convolutional neural networks (CNNs) constitute a widely used deep learning approach that has frequently been applied to the problem of brain tumor diagnosis. Such techniques still face some critical challenges in moving towards clinic application. Brain tumours are classified using a biopsy, which is not normally done before conclusive brain surgery. The enhancement of this technology by machine learning could aid radiologists in tumour detection without the use of …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 12, Issue 3, 2023 · pp. 24–29 Read article
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Enhancing Data Security Via the Application of Back- Propagation Feed-Forward Methods in Encryption
Abstract: The computer society uses a variety of automated methods for file security and data storage. Several organisations are concerned about the information exchange via an unsecured network for a distributed architecture, such as the time-sharing and real-time system. Probably the most crucial element that contributes to effective security is cryptography. Using a constant weighted factor for boosting the factor, the study aims at extending or updating the earlier presented Artificial …
Published in Journal of Open Source Developments · Vol. 9, Issue 3, 2022 · pp. 13–17 Read article
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Graphene-Derived Reinforced Polymer Composites for Self-Healing and Durability Enhancement in Concrete Structures
Abstract: This study presents a matrix-centric polymer-composite repair binder: an epoxy–polyamide network reinforced with graphene derivatives (GO/rGO, 0.1–1.0 wt%). The polymer drives function via segmental mobility that closes microcracks, while 2D-filler topology densifies the interphase, improves load transfer, and enforces tortuous moisture pathways. Adhesion was high: pull-off (ASTM D4541) reached 13.5 MPa at 2.0 mm displacement; slant-shear (ASTM C882) reached 12.1 MPa at 2.8 mm, with greater deformation capacity (zero stress …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 77–91 Read article
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Recent Developments in Structural Genomics: Uncovering Cellular Functions
Abstract: Structural genomics has become a groundbreaking field for understanding cellular functions by revealing the three-dimensional structures of proteins and other biomolecules. This field combines advanced methods like X-ray crystallography, nuclear magnetic resonance spectroscopy, cryo-electron microscopy, and computational modeling to explore the molecular structure and behavior of cellular components. Recent advances have significantly accelerated the pace of structure determination, bolstered by high-throughput methods and artificial intelligence tools like AlphaFold. These developments …
Published in International Journal of Cell Biology and Cellular Functions · Vol. 2, Issue 2, 2024 · pp. 30–35 Read article
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Critical Review on Multifunctional Polymer Composites for Weight Reduction and AI Based Battery Thermal Management in Electric Vehicles
Abstract: The rapid growth of electric vehicles (EVs) has intensified the need for advanced materials and intelligent control systems capable of improving energy efficiency, driving range, thermal safety, and overall vehicle sustainability. This paper presents a critical review of multifunctional polymer composites and artificial intelligence-based battery thermal management systems (AI-BTMS) for next-generation EV applications. Polymer composites reinforced with carbon fibers, graphene, boron nitride, nanoclays, and carbon nanotubes offer significant advantages over …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 603–619 Read article
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Intuitionistic Fuzzy Hypergraph Laplacians and Dominating Transversals for Resilient Discrete Network Design
Abstract: This manuscript develops a discrete mathematical framework for resilience analysis on networks whose interactions are polyadic, uncertain, and partially conflicting. Classical graphs compress multi-way coordination into pairwise edges, while ordinary fuzzy graphs often ignore the non-membership information that becomes critical in emergency logistics, infrastructure interdependence, and cyberphysical coordination. We therefore formulate an intuitionistic fuzzy hypergraph in which each vertex hyperedge incidence carries membership, non-membership, and hesitation, and we construct a …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 13, Issue 2, 2026 · pp. 15–21 Read article
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A Split and Merge UNet: A Deep Learning Assisted UNet Model to Segment Corpus Callosum of Brain for Automatic Autism Detection
Abstract: In recent years, deep learning techniques have shown remarkable performance in various image analysis applications, particularly in the domain of medical image processing. Among these, image segmentation plays a critical role, as it helps in isolating and analyzing specific regions within medical images. The proposed study focuses on segmenting the corpus callosum, a vital structure in the human brain, using a novel optimization technique known as the Split and Merge …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 11, Issue 3, 2024 · pp. 1–9 Read article
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Exploring Antimalarial Activity of Chalcone Derivatives through QSAR
Abstract: Background: The core structure of chalcones contains a reactive α,β-unsaturated system within the aromatic rings, which plays a key role in mediating various biological effects. These effects include enzyme inhibition, anticancer activity, anti-inflammatory properties, as well as antibacterial, antifungal, antimalarial, antiprotozoal, and anti-filarial actions.Modifying the structure by introducing substituent groups to the aromatic ring can enhance potency, reduce toxicity, and expand their range of pharmacological actions.Methods: A total of twenty-seven …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 3, Issue 2, 2025 · pp. 1–6 Read article
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A Game Theory Approach to Enhance Routing and Security in MANET
Abstract: Mobile ad hoc network (MANET) is a collection of mobile nodes, which forms a temporary network without the aid of centralized administration. To create and maintain communication between nodes, the nodes dynamically establish paths among one another. The nature and structure of such networks makes it attractive to various types of attackers. Security in ad-hoc network is an essential component for basic network functions like packet forwarding and routing. These …
Published in Journal Of Network security · Vol. 4, Issue 2, 2016 · pp. 1–8 Read article
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Modulation of Receptor Proteins: A Recent Paradigm in Drug Discovery and Target
Abstract: The main aim in drug discovery is to design different ligands those work on specific drug targets. However, various effective drugs work through the modulation of many proteins than single target. Advancement in system biology are establishing a phenotypic strength and a network structure, which suggests that, the excellent selective compounds may be performed less than desired clinical efficacy in comparison to multi-target drugs. In this new appreciation of the …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 5, Issue 1, 2018 · pp. 14–24 Read article
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Carbon Nanotubes: Revolutionizing Noval Drug Delivery Approach for Alzheimer's Disease
Abstract: The objective of the review was to comprehensively study the application of nanotechnology and investigate the potential of carbon nanotubes in serving as a drug delivery system to improve the condition of Alzheimer's disease. Alzheimer's disease, characterized as an irreversible and progressive cerebral disorder, presents clinical manifestations such as dementia, cognitive decline, altered personality, impaired motor function, confusion, and diminished cognitive planning. The neurodegenerative processes inherent in Alzheimer's disease stem …
Published in Trends in Drug Delivery · Vol. 10, Issue 3, 2023 · pp. 10–15 Read article
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Machine Learning Based Optimization of Polymer Structure Property Relationships in Composite Material Systems
Abstract: In modern engineering applications, polymer-based composite materials have garnered a lot of attention because of their lightweight nature, high strength-to-weight ratio, and changing physical features. In order to maximize the relationships between polymer structure and properties in composite materials, this study suggests a strategy based on reinforcement learning (RL). The research utilized the Polymer Composite Properties Dataset, which contains 12,700 records associated with polymer matrices, reinforcement fillers, interfacial bonding characteristics, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 242–255 Read article