Scipedia
Not a member yet
33380 research outputs found
Sort by
Numerical Investigations of Fractional Complex Coupled Maccari and Cahn-Hilliard Equations Using Controlled Picard Iteration with ρ-Laplace Transform
Get PDFThis article presents a semi-analytical approach to address two nonlinear evolution equations: the fractional complex coupled Maccari system and the fractional Cahn-Hilliard equation. These mathematical models encapsulate essential concepts such as non-locality and memory, making them applicable in signal and image processing. The proposed method utilizes the controlled Picard framework combined with theρ-Laplace transform. The recommended approach eliminates the necessity for traditional techniques, such as Lagrange multipliers and Adomian expansions, by integrating the controlled Picard method with theρ-Laplace transformation. Additionally, a minimal parameter, ¯h, has been introduced to improve the convergence of the system under investigation. The results have been validated against exact solutions, and absolute error analyses support the accuracy of the proposed approach. The article includes 2D and 3D plots to illustrate how results vary with different parameters. In conclusion, this paper demonstrates that our method is explicit and efficiently executable.OPEN ACCESS Received: 25/03/2025 Accepted: 07/05/2025 Published: 30/05/202
MULTI-HAZARD GEOTECHNICAL RELIABILITY MAPPING ALONG THE SAN ANDREAS FAULT ZONE: A DATA-DRIVEN FRAMEWORK
Get PDF''This study presents a spatially integrated methodology for assessing geotechnical reliability in a multi-hazard context, with a case application along the San Andreas Fault Zone (SAFZ) in California. A Composite Reliability Index (CRI) was developed by integrating DEM-derived terrain attributes, 3D lithologic clustering, soil taxonomy, and peak ground velocity (PGV) data into a unified, normalized framework. Weighted overlay analysis was employed, with suitability scores derived from seismic, geotechnical, and geomorphological principles, supporting compatibility with ASCE 7 [13] and FEMA seismic guidelines [14]. The resulting CRI surface delineates zones of varying geotechnical resilience, identifying areas of high stability suitable for infrastructure development and regions warranting caution due to compounded seismic and geological risks. Spatial validation through correlation with established urban centers and reliability index (β) mapping reinforces the practical applicability of the framework for preliminary site screening and regional resilience planning in faulted, data-constrained terrains.''
Building a Conversational AI Medium to Enhance Psychotherapy Training with Virtual Patients
No full textPsychotherapists in training lack a standardized and formalized method of patient interaction for proper development of empathy, communication, and experience. Currently, training involves residents practicing with each other, where one acts as the patient and one as the psychotherapist, or with simulated patients -actors who replicate patient scenarios. Both methods have shortcomings in availability, reliability, and the accuracy in replicating real scenarios. This project attempted to create virtual patients by utilizing online patient transcripts through the fine-tuning of three modern Artificial Intelligence models, ChatGPT-4o, LlaMa-3.1v-405B, and Gemini 1.5 Pro; as well as their miniature versions where applicable. A website interface was created to interact with the fine-tuned models for evaluation. The accuracy of the models was determined using cosine similarities to measure semantic relation between data and model outputs, ranging from 93.3% to 83.11% , with ChatGPT-4o Mini achieving the highest accuracy. These findings highlight the potential for virtual patients to serve as a more accessible, reliable, and effective training method for residents. Further evaluation and continual refinement remain necessary to address current limitations.
 
The Effects of White Mulberry on Alcohol-Induced Withdrawal in Planaria
No full textEthanol, commonly known as drinking alcohol, is a psychoactive drug that gives the stimulative effect of alcoholic intoxication. Addiction to ethanol is difficult to overcome due to the withdrawal symptoms present after discontinuing exposure. Planaria, scientifically, Dugesia dorotocephala, is a species of flatworm, commonly used as a model organism for humans; planaria show withdrawal symptoms such as low dopamine levels and changes in movement from addictive drugs, making them a suitable organism to test the effectiveness of white mulberry on withdrawal. Given that previous studies show that white mulberries can revert the movements of planarians after addictive substances, it is hypothesized that white mulberries can help planarians recover from alcohol withdrawal. This study investigates how white mulberry extract may affect the behavior and locomotion of ethanol-withdrawn planarians. Planaria were put in a 1% ethanol solution for 60 minutes and given either post or pretreated with 0%, 3%, 6%, and 9% mulberry in beef for 15 minutes. A vehicle group that received no ethanol exposure or mulberry treatment was also observed. After the treatment, the number of gridlines crossed, head bops, and C-shapes were counted for 20 minutes, followed by a Conditional Preference Test (CPT) for 10 minutes. It was observed that the 6% and 9% white mulberry pre-treatments were able to completely reverse the ethanol’s impacts on light preference and motility slightly. The post-treatment on the other hand was shown to worsen ethanol’s impact, significantly decreasing motility from the control.
 
The Sealing Failure Mechanism of Old Well Plugging Section under Thermo-Mechanical Coupling in Salt Cavern Hydrogen Storage
Get PDFTo address the plugged sections of old wells in salt-cavern hydrogen storage facilities, this study establishes a three-dimensional finite element model considering fluid-solid-thermal multi-field coupling effect is established. based on the Cohesive Zone Model (CZM). The model simulates the debonding failure process at the cement plug-formation interface and investigates the effects of various gas injection scenarios, operational pressures, formation temperatures, mechanical parameters of the cement plug, and interface bonding quality on the debonding failure length. Simulation results indicate that hydrogen, compared to natural gas, is more prone to interface debonding failure and leakage. Increasing the cement plug’s elastic modulus from 5 to 15 GPa reduces the debonding failure length by 10.37 m and increases the fracture propagation pressure by 2.2 MPa, demonstrating that higher elastic modulus effectively mitigates the risk of interface bonding failure. Increasing the Poisson’s ratio from 0.05 to 0.20 only reduces the debonding failure length by 2.2 m and increases the fracture propagation pressure by 1.2 MPa, indicating that Poisson’s ratio has minimal impact on bonding failure. Micro-annular gaps are highly sensitive to bonding quality, highlighting the need for rigorous quality control at the bonding interface. Under constant low operating pressure, minor debonding persists at the interface, but as operating pressure increases, the debonding failure length grows rapidly. Additionally, with increasing temperature, the debonding failure length gradually decreases. The research findings provide guidance for the optimization of cement slurry formulations and the underground hydrogen storage process.OPEN ACCESS Received: 07/04/2025 Accepted: 10/06/202
Exploring Flow Matching for Bifurcation: A Preliminary Framework for Buckling in Mechanical Metamaterials
Get PDF
A Numerical Study of the Impact of Bending and Torsional Stiffness on the Static Aeroelastic Characteristics of a Large Aspect Ratio Composite Wing
Get PDFThe bending and torsional stiffness influence structural deformation to varying degrees. Utilizing the coupled numerical method of Computational Fluid Dynamics and Computational Structural Dynamics (CFD/CSD), a comprehensive study was conducted on the impact of bending and torsional stiffness on the static aeroelastic behavior of a high-aspect-ratio wing, employing FLUENT software across diverse flight conditions. The study summarized this influence by comparing the computational outcomes. The results indicate that as the angle of attack rises, the lift increment diminishes gradually until the angle reaches 14 degrees, rendering the strategy of enhancing bending and torsional stiffness to gain more lift ineffective. Between 2 and 14 degrees of angle of attack, the lift difference between the scenarios decreases from 23.98% to 7.31%. At higher Mach numbers and lower angles of attack, augmenting wing stiffness significantly boosts wing lift. Optimal lift-to-drag characteristics are achieved at approximately 6 degrees of angle of attack. By averagely increasing the wing’s bending and torsional stiffness by 8.28% and 5.22%, respectively, the lift-to-drag characteristics can be enhanced by 5.27% at a low angle of attack of 0.75 Mach. The disparity in maximum deflection between the two stiffness wings is most pronounced at higher flight speeds and smaller angles of attack, with the opposite trend observed for the difference in maximum torsion angle. The key findings presented in this paper can expedite the integrated design of stiffness for this type of wing structure by providing vital technical insights.OPEN ACCESS Received: 24/07/2024 Accepted: 22/10/202
Eco-design of lightweight structural parts for electric vehicles – ALMA project
No full textA great deal of work on lightweight cost-effective strategies has been underway in the last decades to improve the electric vehicle efficiency and driving range. At the time, and according to recent EU project results, up to 30-40% weight reduction was achieved so far in the vehicle structure at prototype level, but further efforts need to be invested to push the technology up to the market. Besides, the adoption of circular economy principles across the entire life-cycle is needed to enable, on one hand, the integration of environmental and cost considerations at the early design stages and, on the other hand, new options for the end-of-life recovery, repair, reuse and recycling.
ALMA project aims to apply eco-design principles to redefine the vehicle architecture and develop a new 26% lighter multi-material body structure using novel advanced high strength steel grades, high performance composites and advanced steel-hybrid laminates. Specifically, Designing for Assembly and Disassembly (DFA/DFD) and Design for Recycling (DFR) methodologies have been targeted to ensure cost-efficient separation, recycling and recovery at the end-of-life (EoL). The ALMA project has also considered aspects for the selection of the best material and production process for the right application at the design stage. The integration of regulatory considerations from early stages of design, especially forthcoming legislative requirements on emissions and the forthcoming ELV directive was also part of the design process.
As a result, the ALMA project intends to foster the adoption of a circular approach in the automotive sector, reinforced by the use of eco-design methodologies from early stages of the car conception and supported by LCA methodologies, helping the automotive industry to harmonize with circular economy principles: design to reduce the production of waste and pollution and extend life cycle for materials and products