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1916 articles for “Modeler” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Econometric Modeling for Oil Sectors Stock Prices Time Series Data
Abstract: This study examines the dynamic relationships of stock oil prices of different Indian oil sectors viz., Bharat Petroleum, Hindustan Oil Corporation and Oil and Natural Gas Corporation based on the different econometric models. Empirical result shows that the monthly oil prices are non-stationary and integrated of order one. Johanson procedure to test for the possibility of co-integration relationships result shows that there is no co-integration relationship. Since the variables are …
Published in Research & Reviews : Journal of Statistics · Vol. 7, Issue 2, 2018 · pp. 27–34 Read article
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On the Omission of Intercept Term in Model Estimation: A Monte Carlo Simulation Study
Abstract: AbstractThe issue of having an intercept term in linear regression model is an unsettled issue in the literature. It can be said that, generally, including the constant term depends on the research. But it must be known that the estimation of parameters differs according to involvement of the constant. If an intercept term exists in the model, the least squares estimate of the slope parameter will be unbiased. In this …
Published in Research & Reviews : Journal of Statistics · Vol. 9, Issue 1, 2020 · pp. 1–8 Read article
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A Review on Wound Healing: Pathophysiology, Animal Model and Role of Biomarkers
Abstract: AbstractBlood cells, extracellular matrix, parenchyma cells, and soluble mediators are all involved in the physiological process of wound healing, which is highly complex, dynamic, interactive, and well-regulated. The 4 stages of wound healing are separated out. Hemostasis b. Inflammation c. Proliferation d. Remodeling. Many animal models are employed in the examination of wound healing activities because a large variety of models have been produced for examining different components of the …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 9, Issue 3, 2022 · pp. 29–39 Read article
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Using of Rat Model Over Other Species: A Review
Abstract: The first domesticated morphological features to be used in studies were rats. Scientists employed the brown rat Rattus norvegicus to study human biology and therapeutics two decades ago, focusing on the consequences of hunger and oxygen deprivation. Rats have been used to answer a wide range of basic science problems relevant to common human ailments in the fields of pharmacology, immunology, physiology, nutrition, behaviour, learning, and toxicity. The article gives …
Published in International Journal of Animal Biotechnology and Applications Read article
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AI-Driven Predictive Biotechnology Framework for Modeling Viral Mutation Hotspots Using Genomic Sequence Analysis
Abstract: Viral mutations represent one of the most critical challenges in global public health because genetic changes in viruses can significantly influence transmissibility, virulence, immune escape capability, and resistance to antiviral treatments. RNA viruses in particular exhibit high mutation rates due to error-prone replication mechanisms, making them capable of evolving rapidly in response to environmental pressures and host immune defenses. Traditional virological research primarily relies on retrospective genomic analysis, where viral …
Published in International Journal of Virus Studies · Vol. 3, Issue 2, 2026 Read article
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Nonlinear Mathematical Modelling and Adaptive Optimization of Nuclear Reactor Thermal-Hydraulic Systems for Safe and Efficient Operation
Abstract: Advanced nuclear reactors are characterized by strongly coupled nonlinear interactions among neutron kinetics, reactor power, fuel temperature, coolant temperature, reactivity, and coolant flow. Accurate mathematical representation of these interactions is essential for analysing reactor stability, thermal behaviour, and safe operating conditions. This study develops a nonlinear mathematical framework for coupled neutronic–thermal reactor dynamics by integrating point-reactor kinetics, delayed-neutron precursor equations, fuel and coolant energy balances, and temperature- dependent reactivity feedback. …
Published in Journal of Thermal Engineering and Applications · Vol. 16, Issue 2, 2026 Read article
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Neural Network Surrogate Model for Fast Prediction of Sheet Resistance and Transmittance in Polymer-Coated Silver Nanowire Electrodes
Abstract: Hybrid transparent electrodes that combine silver nanowire (AgNW) networks with conductive PEDOT:PSS overcoats are promising replacements for indium tin oxide in flexible solar cells, but their design requires balancing sheet resistance (Rs) against transmittance (T). Physics-based percolation simulations capture this trade-off but are too slow for large design searches. We present a neural-network surrogate trained on 3,000 Latin-hypercube designs from a Monte Carlo resistor-network simulator in which the polymer acts …
Published in Journal of Polymer & Composites · Vol. 14, Issue 5, 2026 Read article
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Image Modality Translation Between MRI and CT Using Diffusion and Score-Matching Algorithms
Abstract: MRI and CT are the two most widely used medical imaging techniques. Often, doctors need images from both modalities to diagnose conditions accurately and plan treatments like radiation therapy. However, using both MRI and CT can be costly, and it often results in misaligned images. A practical alternative is to use computational methods to convert images from one modality to another—particularly converting MRI images into CT images. In this study, …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 14, Issue 2, 2024 Read article
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Integrating Atmospheric Science: Understanding Greenhouse Gases, Aerosols, and Air Quality Dynamics
Abstract: Atmospheric science investigates the Earth’s atmospheric systems to understand their composition, dynamics, and the implications for climate, weather, and air quality. This review explores five primary areas within the field: atmospheric composition, atmospheric modeling, remote sensing, air pollution, and boundary layer dynamics, highlighting critical challenges and advancements. Rising levels of greenhouse gases (GHGs), including carbon dioxide and methane, continue to drive global warming, while feedback mechanisms—like cloud interactions and surface …
Published in International Journal of Atmosphere · Vol. 1, Issue 1, 2024 · pp. 32–35 Read article
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Network Models: TCP/Internet Protocol vs. OSI
Abstract: Networking your computer dramatically enhances their ability to communicate and most computer are used more for communication than computation. The positive impact of computers grows in direct proportion to the number and type of computers that participate in network. One of the greatest benefits of TCP/IP is that it provides interoperable communication between all types of hardware and operating system. TCP/IP is an abbreviation for transmission control protocol/internet protocol. TCP/IP …
Published in Journal of Advances in Shell Programming · Vol. 10, Issue 4, 2023 · pp. 14–18 Read article
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Effects of Gypsophila on Airway Inflammation in Guinea pig model of ovalbumin‐induced Asthma
Abstract: To look at how Gypsophlia (GSP) affects airway inflammation in a model of ovalbumin-induced asthma in guinea pigs (OVA).Methods: Using a random number table, sixty healthy female guinea pigs were split into six groups, each consisting of ten rats: the normal control, OVA, and GSP (0.45, 0.9, 1.8, and 3.6 g/kg). The ovalbumin and lipopolysaccharide sensitization approach was used to create the OVA guinea pig model. The GSP groups received …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 14, Issue 1, 2024 · pp. 17–23 Read article
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Modelling of Large Elasto-plastic Deformations by EFGM
Abstract: Current work reports modelling and simulation of geometric and material nonlinearities arising due large elasto-plastic displacements in structural specimens by invoking enriched element free Galerkin method (EFGM). The displacement approximations are constructed by using moving least square approach. Standard displacement based approximations are modified by incorporating suitable enrichment functions depending on the nature of interfaces present in the components. Large deformations give rise to geometric nonlinearities which have been modelled …
Published in Journal of Polymer & Composites · Vol. 12, Issue 2, 2024 · pp. 130–143 Read article
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Size-biased Sujatha Distribution with Properties and Application to Model Flood Data
Abstract: In this study, a size-biased version of the Sujatha distribution was proposed to model flood data. The descriptive statistical properties based on moments and the reliability properties of the distribution are discussed in detail along with their derivation and graphical presentation. An interesting feature of the proposed distribution is that it is a member of the exponential family of distributions. A sequential probability ratio test was performed using the proposed …
Published in Research & Reviews : Journal of Statistics · Vol. 13, Issue 1, 2024 · pp. 31–46 Read article
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AI-Driven Innovation in Biomaterials: Predictive Modeling and Design for the Future
Abstract: The integration of artificial intelligence (AI) is revolutionizing the field of biomaterials, paving the way for innovative approaches in their development and production. This paper examines the connection between AI and biomaterials, emphasizing the substantial impact of predictive modeling on the evolution of the field. By examining recent research and cutting-edge uses, the document shows how AI-powered predictive modeling has revolutionized biomaterial design, marking a period of unparalleled precision and …
Published in Trends in Machine design · Vol. 11, Issue 3, 2024 · pp. 25–35 Read article
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A Value-Belief-Attitude Model of Local Food Consumption
Abstract: The paper explores the Value-Belief-Attitude (VBA) model of local food consumption, investigating how cultural, social, and economic factors influence attitudes toward local food. Key considerations include the importance of regional cuisines, support for local farmers, and the health benefits of fresh, locally sourced produce. The paper also delves into the concept of “locavorism” as a consumer ideology centered around the trustworthiness and benefits of local foods. Additionally, it examines long-term …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 15, Issue 1, 2025 · pp. 11–18 Read article
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Deep Learning Architectures for Predictive Modeling in Financial Time Series
Abstract: This study investigates the application of deep learning architectures, particularly convolutional neural networks (CNNs), to the challenging task of financial time series forecasting. Financial markets are inherently complex and influenced by a range of factors, making accurate prediction of price movements a difficult problem. In this research, historical financial data including stock prices, volumes, and other relevant indicators are used to train CNN models aimed at capturing the underlying patterns …
Published in Current Trends in Signal Processing · Vol. 15, Issue 3, 2025 · pp. 45–55 Read article
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Reviewing Threat Detection Methods in SaaS Platforms Through the Use of Adaptive Cloud Security Models
Abstract: Software as a Service (SaaS) solution has revolutionized the contemporary business processes as scalable and service-on-demand solution on cloud networks. Yet, this expansion has brought in sophisticated cybersecurity risks because of a multi-tenant environment facing the internet in the SaaS environment. The key to assure the service availability and protection of the data stored off-site is effective threat detection in such dynamic ecosystems. This review article seeks to discuss the …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 3, 2025 Read article
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Experimental Study on the Effect of Membranous Milkvetch and Ledebouriella divaricate Immunomodulatory Tablets on cytokine production in allergic rhinitis model mice
Abstract: We have established allergic rhinitis models for use in the treatment of allergic rhinitis with the help of the traditionall Koryo medicine administration, lade-screen Powder-extracted Membranous Milkvetch and Ledebouriella divaricate immunomodulatory tablet and the effect of lade-screen Powder on cytokine production in allergic rhinitis model mice. In the allergic rhinitis model, the administration of Membranous Milkvetch and Ledebouriella divaricate immunomodulatory tablets, along with Lade-screen Powder, demonstrated significant therapeutic effects. These …
Published in Research and Reviews : A Journal of Immunology · Vol. 15, Issue 3, 2025 Read article
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Integration of Multispectral Satellite data with Ensemble Machine Learning Models for Wetland Classification: a new Ramsar Site in Central India
Abstract: For biodiversity conservation, several wetlands in India have been classified as Ramsar sites, and Sirpur Lake is a recent addition to the list. The objective of this paper is to use Sentinel optical data with 10-meter resolution to prepare a robust and accurate classified map which will be crucial for further analysis. The data on thirteen spectral bands along with four essential spectral indices, Normalized Difference Vegetation Index (NDVI), Normalized …
Published in Journal of Remote Sensing & GIS · Vol. 16, Issue 3, 2025 Read article
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Finite Element Modelling of Contact Stresses in Helical Gear Systems
Abstract: Helical gears are widely used in modern power‐transmission systems because of their high load‐carrying capacity, smooth meshing action, and increased overlapping of gear teeth. However, the design of helical gear pairs is constrained by contact stresses generated at the mating tooth surfaces, which can lead to surface fatigue (pitting), micro-cracking, and ultimately gear failure. Traditional analytical methods, such as those of the American Gear Manufacturers Association (AGMA) or International Organization …
Published in Trends in Machine design · Vol. 12, Issue 3, 2025 · pp. 35–39 Read article