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1976 articles for “bending-mode piezoresistivity” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Bridging Polymer Science and the Circular Economy: Innovative Business Models for Sustainable Plastic Alternatives
Abstract: It involves the application of polymer science, circular economy principles, and sustainable business models to change the industrial environment in an environmentally friendly manner, which the study focuses on. It will also carry out a rigorous investigation into the potential of bio-based, biodegradable, and recyclable materials and how to integrate them into business models that can be sustainable. The theoretical basis of the study includes the theory of the circular …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 202–217 Read article
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A Study to Assess the Impact of Safe Delivery app on Knowledge Regarding Modern Contraception Among Final Year B. Sc Nursing Students in Chittoor Dist., AP
Abstract: Background: Postpartum hemorrhage (PPH) remains a leading cause of maternal mortality, particularly in low-income countries, highlighting the importance of skilled healthcare providers. Mobile health innovations such as the Safe Delivery App (SDA) have demonstrated effectiveness in strengthening knowledge and skills in obstetric emergency management. However, limited evidence exists regarding its role in improving knowledge of modern contraception among nursing students, who represent the future maternal health workforce. This study aimed …
Published in International Journal of Women's Health Nursing And Practices · Vol. 4, Issue 1, 2026 · pp. 29–34 Read article
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Understanding Sentiment Trends Through Zero-Shot and Few-Shot Learning Models
Abstract: The requirement for large, manually labeled datasets is one of the main barriers to applying sentiment analysis algorithms in specialized or rapidly evolving disciplines in the present natural language processing (NLP) landscape. This work investigates a paradigm shift from traditional fully supervised learning to data-efficient methods, specifically zero-shot learning (ZSL) and few-shot learning (FSL). This study uses the advanced capabilities of instruction-tuned large language models (LLMs), like GPT-4, to assess …
Published in International Journal of Computer Science Languages · Vol. 4, Issue 1, 2026 · pp. 01–08 Read article
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DFT/Data Guided Predictive Modelling of Absorption Maxima in the OLED Rubrene Derivatives
Abstract: This study investigates the optical properties of rubrene derivatives to develop an accurate predictive model for absorption maxima using computational chemistry and chemoinformatic techniques. We benchmarked various quantum chemical methods, identifying that the M06-2X/aug-cc-pVDZ method in dichloromethane (DCM) provided the strongest correlation with experimental data. Key molecular descriptors such as band gap, ionization potential, and electrophilicity index were calculated and analyzed using principal component analysis (PCA) to identify significant factors …
Published in International Journal of Cheminformatics · Vol. 4, Issue 1, 2026 · pp. 41–56 Read article
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Deep Learning-Based Thermal Prediction Models for Solid-State Electronic Devices
Abstract: The rapid advancement of solid-state electronic devices in high-performance computing, communication systems, automotive electronics, and renewable energy applications has significantly increased concerns related to thermal management and device reliability. Excessive heat generation in semiconductor devices adversely affects operational efficiency, switching performance, lifespan, and overall system stability. Traditional thermal prediction methods often require complex numerical computations and extensive simulation time, making them less suitable for real-time monitoring and adaptive control applications. …
Published in International Journal of Solid State Innovations & Research · Vol. 4, Issue 1, 2026 Read article
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Hybrid Quantum–Machine Learning Framework for Nonlinear Rheological Modeling of Polymer and Composite Materials
Abstract: In polymer and composite materials, a major challenge lies in predicting their nonlinear rheological response, owing to complex multiscale interactions that are not captured by traditional constitutive laws or conventional machine learning approaches. In this study, a hybrid Quantum–Machine Learning (QML) model comprising Quantum Support Vector Machine (QSVM) and Quantum Neural Network (QNN) architectures is proposed for viscosity prediction without requiring any specific rheological equation. To train and test the …
Published in Journal of Polymer & Composites · Vol. 14, Issue 5, 2026 · pp. 19–35 Read article
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Fluid Dynamics of a Stressed Freshwater Lens: Integrated Flow Modeling and Pathways for Material-Centric Interventions in Khadir Island, Gujarat
Abstract: This study applies principles of fluid dynamics and porous media mechanics to analyze the behavior and sustainability of the freshwater lens in Khadir Island, an arid sedimentary island in Gujarat, India. We develop an integrated fluid flow model that couples surface hydrology with aquifer dynamics to quantify recharge fluxes, extraction stresses, and hydraulic responses. Using 11-year hydro-meteorological data (2011–2021) and sectoral demand projections, we characterize the island’s water budget through …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 12–29 Read article
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Passive Capillary Flow of Aqueous Working Liquids in the SU-8 based Microchannel Bends
Abstract: In this work, total 4 individual SU-8 based microchannel bends are fabricated by maskless lithography and indirect bonding technique. The leakage-free surface-driven capillary flow of aqueous ethanol is recorded by a CMOS camera. Also, the leakage-free surface-driven capillary flow of aqueous isopropyl alcohol (IPA) is recorded by the CMOS camera. This work will be useful in bioengineering applications.
Published in Emerging Trends in Chemical Engineering · Vol. 5, Issue 1, 2018 · pp. 20–22 Read article
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Review of Relevant Evapotranspiration Models for Estimating Reference Evapotranspiration
Abstract: The word evapotranspiration (ET) is a very pivotal component of the hydrological cycle, and it has a very crucial but accurate design and operation in terms of management of irrigation systems. Its evaluation by direct measurement using lysimeters, atmometers, energy balance or pan evaporimeter is not usually feasible because it is complex, expensive and time consuming. Therefore, relevant indirect methods such as FAO–56 Penman–Monteith (PM), Priestly Taylor (PT), Blaney–Morin Nigeria …
Published in Emerging Trends in Chemical Engineering · Vol. 9, Issue 1, 2022 · pp. 45–54 Read article
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A REVIEW PAPER ON BENDING ANALYSIS OF SHEET METAL WITH VARIOUS PROCESS PARAMETERS
Abstract: Sheet metal forming is a mostly use and expensive developed process. decrease of response time and costs, increases of the efficiency and superiority of the manufactured goods are very important for survival in the competitive manufacturing industry. Using Finite element analysis as a simulation Technique we can evaluate the performance of components, equipment’s and structures for various loading conditions. A categorization of managing geometry and material nonlinearity with regards to …
Published in Journal of Automobile Engineering and Applications · Vol. 5, Issue 2, 2018 · pp. 41–46 Read article
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Passive Capillary Flow of Aqueous Working Liquids in the PMMA Microchannel Bends
Abstract: In this work, passive capillary flows or surface-driven capillary flows are recorded in polymethylmethacrylate (PMMA) microfluidic devices using aqueous ethanol and aqueous isopropyl alcohol (IPA) as chosen aqueous working liquids. Microchannel bends are the chosen microfluidic devices with the selected microchannel widths of 50, 120 and 200 micron. This work will be useful to fabricate the PMMA laboratory-on-a-chip systems for bioengineering applications.
Published in Journal of Catalyst & Catalysis · Vol. 5, Issue 1, 2018 · pp. 21–24 Read article
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Wavelet based Adaptive Sliding Mode Control for Discrete Time Uncertain Nonlinear Systems
Abstract: This paper focuses on the development of a wavelet based adaptive sliding mode control strategy for a classof discrete time uncertain nonlinear systems. An adaptive sliding mode control is utilized to assure the stabletracking of uncertain nonlinear system under consideration. Wavelet neural network (WNN) is used to mimicthe uncertainties present in the system. Proposed scheme is derived to guaranty the necessary and sufficientreaching condition for sliding mode control in presence …
Published in Journal of Control & Instrumentation · Vol. 1, Issue 1-2-3, 2011 · pp. 59–68 Read article
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Development of an Intelligent and Statistical Model for Prediction of Rock Mass Deformation Modulus
Abstract: The rock mass deformation modulus (Em) takes into account the plastic and the elastic deformation of the rock mass. It has been widely used for designing structures such as dams, tunnels, caverns, and mines, etc. Since the tests available for ascertaining Em are expensive and time consuming, several equations were suggested in the past. However, it has been found that the existing models are limited to specific type of rock …
Published in Journal of Geotechnical Engineering · Vol. 6, Issue 2, 2019 · pp. 39–50 Read article
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Interpretive Structural Modelling Apply to Green Supply Chain Management
Abstract: This study aims to investigate the green supply chain management (GSCM) practices likely to be adopted by the electronic industry of electronics products in India. The approach of the present research includes depth literature review about the current scenario of electronic industry in India and the relationship between GSCM practices and environmental performance. The electronics products industries in India were sampled for empirical study. The parameters were analyzed using “Interpretive …
Published in Journal of Industrial Safety Engineering · Vol. 2, Issue 1, 2015 · pp. 13–27 Read article
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Model Based Controller Design for Position Control of Servo Controlled Hydraulic Actuator against Air Entrainment
Abstract: Position control is important for numerous industrial and aircraft applications. Electro-hydraulic actuators are used for position control for advantages they provide over other actuation systems. The hydraulic fluid used for actuation, though desired to be incompressible, has some compressibility in practice. Entrainment of air in the fluid increases compressibility effect by reducing the effective bulk modulus. Reduced bulk modulus makes position control difficult. The paper studies the effect of effective …
Published in Journal of Mechatronics and Automation · Vol. 3, Issue 2, 2016 · pp. 25–35 Read article
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Evolution of Structural Dynamic Modeling Technique for Airborne Chassis
Abstract: To estimate random vibration response of airborne chassis finite element method is used as a tool. For making an appropriate requirement to determine the design requirement of the package for a designer the point of accuracy is very much linked to this prophecy. The modeling practices which are used in FEM are linked to attain preciseness in any considered prediction. Preciseness of a particular FE model is inclined with appropriate …
Published in Journal of Mechatronics and Automation · Vol. 3, Issue 3, 2016 · pp. 12–17 Read article
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Assessment of Two Phase Turbulent Mixing Models for Subchannel Analysis Relevant to BWR
Abstract: AbstractDetermination of turbulent mixing rate of two phase flow between neighboring subchannels is an important aspect of subchannel analysis in reactor rod bundles. Various models have been developed for two phase turbulent mixing rate between subchannels. These models show that turbulent mixing rate is strongly dependent on flow regimes; their validity was examined against specific or limited experiments. It is vital to evaluate these models by comparing the predicted two …
Published in Journal of Nuclear Engineering & Technology · Vol. 4, Issue 1, 2014 Read article
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T-π Network Simulation and Thevenin- Norton Equivalent Circuit Values From Laplace Description Using Pspice Software
Abstract: From the conversion methods of T-π (star-delta) for impedances circuits, the behavioral modeling of Pspice simulation program is used to obtain equivalent circuits using LAPLACE option. The conversions are verified for two types of circuits by obtaining AC values of voltages and currents at various nodes and branches using Pspice computer simulations. There are many ways of expressing Thevenin/Norton equivalent circuit parameters such as (a) as real numbers for pure …
Published in Journal of Semiconductor Devices and Circuits · Vol. 9, Issue 2, 2022 · pp. 43–58 Read article
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Modelling and Electrical Characterization of Single Electron Transistor
Abstract: A nano-electronic device with low power consumption, high performance, and quantum effects is the single electron transistor (SET). It's used in charge sensor applications, infrared radiation detectors, and spectroscopy. However, it faces limitations in lithography, co-tunneling effect, low gain, high output impedance, and background charges. Therefore, prior simulation is needed to optimize SET's work function and understanding physics concepts. A master equation approach is used to propose a new model …
Published in Journal of Semiconductor Devices and Circuits · Vol. 10, Issue 3, 2024 · pp. 19–25 Read article
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Design and Validation of Slot Coupled Rectangular Half Mode SIW Antenna
Abstract: This paper presents the design and performance analysis of a Rectangular Half Mode Substrate Integrated Waveguide (HMSIW) antenna configuration to attain higher gain and multiband characteristics with the compact size. It is possible to produce multiband properties by placing variously shaped slots on the top of the patch and ground surface. To attain the necessary gain and multiband resonance characteristics, the type of the slot, dimension optimization, and position optimization …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 10, Issue 2, 2023 · pp. 14–21 Read article