Shahid Sattari University of Aeronautical Engineering

The Changing Role of Psychologists in the Age of Artificial Intelligence: A Task-Based Framework for Automation, Human Expertise, and AI-Augmented Mental Health Care

Pouria Ebrahimian

This research examines the evolving role of psychologists in the context of rapid advances in artificial intelligence (AI), with particular attention to generative AI, AI-assisted mental health applications, and human–AI interaction. The study explores whether the increasing capabilities of AI are likely …

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The Changing Role of Psychologists in the Age of Artificial Intelligence: Automation, Human Expertise, and the Future of Mental Health Care

Pouria Ebrahimian

This research examines the evolving role of psychologists in the context of rapid advances in artificial intelligence (AI), with particular attention to generative AI, AI-assisted mental health applications, and human–AI interaction. The study explores whether the increasing capabilities of AI are likely …

ir (code pays fourni par la source)

The Changing Role of Psychologists in the Age of Artificial Intelligence: A Task-Based Framework for Automation, Human Expertise, and AI-Augmented Mental Health Care

Pouria Ebrahimian

This research examines the evolving role of psychologists in the context of rapid advances in artificial intelligence (AI), with particular attention to generative AI, AI-assisted mental health applications, and human–AI interaction. The study explores whether the increasing capabilities of AI are likely …

ir (code pays fourni par la source)

A Typology of Factors Influencing the Success of Science, Technology, and Innovation Policies in the Health Sector

Esmail Karami, Shahabeddin Taheri, Valiallah Vahdaninia, Mahdi Pourzeid

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Glutaraldehyde as a safer and high-performance crosslinker for liquid polysulfide: a comparative study with 1,2,3-trichloropropane

Jaber Mirzaei, Masoud Khoshnood, Sara Sadat Hashemi

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Hybrid static–dynamic link weighting for blocking probability reduction in elastic optical networks

Yaghoub Khorasani

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A novel sunflower-inspired reentrant honeycomb with enhanced in-plane energy absorption

Reza Sarkhosh, Mohammad Kazemi Nasrabadi, Mahdi Zandieh

In this study, a novel honeycomb structure inspired by the sunflower pattern combined with reentrant geometry is introduced. In this auxetic design, the size of hexagonal cells decreases gradually along the radius to facilitate improved stress distribution and enhanced energy absorption (EA) …

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Decoding Consumer Uncertainty: Insights into Purchase Intentions Amid Evolving Market Dynamics

Muhammad Muzammal Hussain

Consumer uncertainty has become a pivotal factor influencing purchase intentions, particularly in wake of dynamic market conditions, technological advancements, and socio-political disruptions. While existing literature has extensively explored the interplay between uncertainty and consumer behavior, there remains a need to systematically structure …

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Impact of finlet integration on propeller aeroacoustic and aerodynamic characteristics: An experimental assessment

Jaber Ragani Lamouki, Abbas Afshari, Mahmoud Pasandidehfard

This study experimentally investigates the impact of finlet integration on the aeroacoustic and aerodynamic characteristics of a T-MOTOR 18*6.1 carbon fiber propeller operating at low Reynolds number regimes. Far-field noise and thrust measurements were conducted under static conditions across rotational speeds ranging …

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Machine-learning prediction of AlGaN direct bandgaps using only DFT structural descriptors

Bahram Abedi Ravan, Boshra Kiani Sadr, Aliasghar Shokri

We present a machine-learning framework for predicting the DFT-calculated direct bandgap of Al x Ga 1-x N alloys using only descriptors available prior to density functional theory (DFT) calculations. The model is trained on a heterogeneous dataset comprising 240 literature-derived first-principles results …

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Multi-criteria evaluation of CCHP configuration strategies: balancing technical performance and financial viability

M. Sedighi, Ahmadreza Ayoobi, Amir Mohammad Sattari

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Modeling and Optimization of Electromagnetic Wave Absorbing Epoxy Nano-Coatings Using an Imitation-Based Algorithm

M. Abdolmajidi, Ali Hassani Joshaghani, A. Cheraghi, Hossein Mazaheri

This study investigates the design, processing, and optimization of electromagnetic wave-absorbing nano-coatings based on epoxy matrices reinforced with Al₂O₃, Fe₂O₃, and ZnO nanoparticles. The research focuses on understanding the key parameters influencing microwave absorption and developing multilayer structures capable of minimizing reflection …

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