How AI Brand Endorsers Influence Generation MZ’s Consumer Behavior in Metaverse Marketing Scenarios by Junping Xu, Yuxi Feng, Wei Li, Qianghong Huang, Zhizhong Fan

“…Additionally, we performed Multi-Group Analysis (MGA) to reveal differences among various occupations and generations. …”
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Combination of Conditioning Factors for Generation of Landslide Susceptibility Maps by Extreme Gradient Boosting in Cuenca, Ecuador by Esteban Bravo-López, Tomás Fernández, Chester Sellers, Jorge Delgado-García

“…The algorithm implemented is Extreme Gradient Boosting (XGBoost), which was used to evaluate the susceptibility to landslides recorded in the city of Cuenca (Ecuador) and its surroundings, generating the respective Landslide Susceptibility Maps (LSM). …”
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Energy Hub Management considering Demand Response, Distributed Generation, and Electric Vehicle Charging Station by Mohammad Hasan Nikkhah, Hossein Lotfi, Mahdi Samadi, Mohammad Ebrahim Hajiabadi

“…Multicarrier energy systems have systematic flexibility for energy and load management. The integration of different types of energy under the title “energy hub” (EH) in multiple energy infrastructures such as electricity, natural gas, and heat in an integrated manner will meet demand at a lower cost. …”
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Low-Light Image Enhancement via New Intuitionistic Fuzzy Generator-Based Retinex Approach by M. S. Ragavendirane, S. Dhanasekar

“…Experimental results demonstrate that the proposed algorithm consistently outperforms existing image enhancement methods, yielding images that maintain optimal balance in contrast level and detail using standard full referral metrics such as absolute mean brightness error, mutual information, peak signal to noise ratio, and non-referral metrics like entropy, contrast per pixel, spatial frequency, blind reference less image spatial quality evaluator, and mean intensity gradient.…”
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System design and scaling trends in airborne wind energy demonstrated for a ground-generation concept by R. Joshi, D. von Terzi, R. Schmehl

“…The variables used to define the system were the wing area, aspect ratio, tether diameter, and rated power of the generator. The framework was employed to find optimal system designs for rated power ranging from 100 to 2000 kW. …”
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Sustainable Heat Generation in Flow from a Molecular Solar Thermal Energy Storage System by Lucien Magson, Dario Maggiolo, Angela Sasic Kalagasidis, Stefan Henninger, Gunther Munz, Markus Knäbbeler‐Buß, Helen Hölzel, Kasper Moth‐Poulsen, Ignacio Funes‐Ardoiz, Diego Sampedro

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Bio-Power Generation in Microbial Fuel Cell with Vermicompost Using <i>Eisenia foetida</i> by Adriana Solares Basurto, Mateo Pérez Ruiz, María Angélica Luján Vega, Juan Manuel Olivares-Ramírez, Irma Lucía Vera-Estrada, José Eli Eduardo González-Duran, Juvenal Rodríguez Reséndiz

“…In this study, the performance of MFCs was evaluated using different numbers of <i>Eisenia foetida</i> specimens, with three specimens (MFC<i>_W</i>₃), five specimens (MFC<i>_W</i>₅), and seven specimens (MFC<i>_W</i>₇). …”
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Development of a Conditional Generative Adversarial Network Model for Television Spectrum Radio Environment Mapping by Oluwatobi Emmanuel Dare, Kennedy Okokpujie, Emmanuel Adetiba, Olabode Idowu-Bismark, Abdultaofeek Abayomi, Raymond Jules Kala, Emmanuel Owolabi, Udeme Christopher Ukpong

“…The model performance was evaluated using mean square error (MSE) and mean absolute error (MAE). 12 different experiments were carried out varying the training parameters of the CGAN architecture to obtain an optimal model. …”
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Leave as Fast as You Can: Using Generative AI to Automate and Accelerate Hospital Discharge Reports by Alex Trejo Omeñaca, Esteve Llargués Rocabruna, Jonny Sloan, Michelle Catta-Preta, Jan Ferrer i Picó, Julio Cesar Alfaro Alvarez, Toni Alonso Solis, Eloy Lloveras Gil, Xavier Serrano Vinaixa, Daniela Velasquez Villegas, Ramon Romeu Garcia, Carles Rubies Feijoo, Josep Maria Monguet i Fierro, Beatriu Bayes Genis

“…The system was developed through iterative cycles, integrating various instruction flows and evaluating five different LLMs combined with prompt engineering strategies and agent-based architectures. …”
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Optimization and application of vision-based large models in educational scenarios by XU Yuepeng, XU Chaidi, GUO Jinjun, JIANG Yunqiao, WANG Shijia, LIU Yao

“…Additionally, RAG technology was utilized to ensure accuracy and richness in generated content. In terms of deployment and application, VELM was implemented through the Dify platform, enabling flexible multi-end deployment, including WeChat mini programs, Web cloud platforms, and localized deployment, meeting the diverse needs of different educational scenarios. …”
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Design Methodology and Economic Impact of Small-Scale HAWT Systems for Urban Distributed Energy Generation by Marina Budanko, Zvonimir Guzović

“…The findings offer insights into the technical and economic viability of small-scale HAWT configurations for distributed energy generation across diverse urban locations with varying wind profiles.…”
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Optimizing photovoltaic parameters with Monte Carlo and parallel resistance adjustment by Fatima Wardi, Mohamed Louzazni, Mohamed Hanine, Elhadi Baghaz, Sanjeevikumar Padmanaban

“…In the end, to evaluate the algorithm’s effectiveness, statistical measurements such as Individual Absolute Error (IAE), Relative Error (RE), Mean Absolute Error (MAE), SD, TS, NFM, ACF, and RMSE are calculated to ensure the correctness of the generated parameters. …”
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An Entropy Optimizing RAS-Equivalent Algorithm for Iterative Matrix Balancing by Chlebus, Edward, Kasapu, Viswatej

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Compensatory Analysis and Optimization for MADM for Heterogeneous Wireless Network Selection by Jian Zhou, Can-yan Zhu

“…In the next-generation heterogeneous wireless networks, a mobile terminal with a multi-interface may have network access from different service providers using various technologies. …”
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Comparative Analysis of Generative Artificial Intelligence Systems in Solving Clinical Pharmacy Problems: Mixed Methods Study by Lulu Li, Pengqiang Du, Xiaojing Huang, Hongwei Zhao, Ming Ni, Meng Yan, Aifeng Wang

“… Abstract BackgroundGenerative artificial intelligence (AI) systems are increasingly deployed in clinical pharmacy; yet, systematic evaluation of their efficacy, limitations, and risks across diverse practice scenarios remains limited. …”
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Optimization of OPM-MEG Layouts with a Limited Number of Sensors by Urban Marhl, Rok Hren, Tilmann Sander, Vojko Jazbinšek

“…System conversion was done by calculating a current distribution on the brain surface using minimum norm estimation (MNE). We evaluated the SSA’s performance under different protocols, for example, using measurements of single or combined OPM components. …”
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Designing and Optimizing Electrode Materials for Energy Harvesting in CAPMIX Cells by Belén Lobato, Samantha L. Flores, Lucía dos Santos-Gómez, Ana B. García, Alberto M. Pernía, Miguel J. Prieto, María G. Busto, Ana Arenillas

“…The growing demand for clean, decentralized energy has increased interest in blue energy, which generates power from water with different salt concentrations. …”
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Evaluation of control strategies for airport refueling system by Qing SHEN, Peng LIU, Jing GONG, Xiaoping LI, Yanqing WANG

“…Accounting for fluctuations in refueling flow at the airport over a single day, these simulations generated the time-varying outlet pressures at the depot and operational states of refueling pumps under different control strategies. …”
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Multiobjective Design Optimization of Grillage Systems according to LRFD-AISC by Tugrul Talaslioglu

“…Hence, while the computational performances of these four optimization algorithms are compared using different combinations of optimizer-related parameters, the various strengths of grid members are also evaluated. …”
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Energy Optimal Control of Electromechanical Systems: Trade-off Demands by Ftorek Branislav, Vavrúš Vladimír, Šimon Ján, Vittek Ján

“…This study presents research on the impact of the selection of the required manoeuvre time on the energy consumption of an electromechanical system, using the example of a train. Two different energy conservation control strategies [energy optimal control (EOC) and energy near-optimal control (ENOC)] were applied to assess their consumption as a function of recommended travel time. …”
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