Tropospheric NO₂: Anthropogenic Influence, Global Trends, Satellite Data, and Machine Learning Application by Valeria Ojeda-Castillo, Mario Alfonso Murillo-Tovar, Leonel Hernández-Mena, Hugo Saldarriaga-Noreña, María Elena Vargas-Amado, Enrique J. Herrera-López, Jesús Díaz

“…This investigation employs the Spectral Angle Mapper (SAM), a geometric machine-learning model, given its advantages in simplicity and computational efficiency, and OMI satellite measurements to carry out spatially supervised classification of tropospheric NO₂ global patterns from 2005 to 2021. …”
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Metaheuristic algorithm for parametric optimization of liquid nitrogen pumping in hydrocarbon and allied fluids piping systems by S. Isaac, C. Kadurumba, H. Ugwu, F. Abam

“…This study applied a population-based metaheuristic algorithm to optimize liquid nitrogen pumping in hydrocarbon and allied fluids piping systems to ensure optimal process efficiency, minimize energy consumption, and minimize operational costs without extensive computational tasks while considering uncertainties and variability. …”
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Whole exome sequencing enables the correct diagnosis of Frank–Ter Haar syndrome in a Saudi family by Y. N. Khan, M. Imad A.M. Mahmud, N. Othman, H. M. Radzuan, S. Basit

“…Moreover, the variant is predicted to be damaging and deleterious by several computation tools. Revisiting the family members for detailed clinical analysis, we diagnosed the patients as having the typical phenotype of FTHS. …”
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Evaluating the Influence of Execution Speed on Real-Time Simulation Accuracy: A Buck Converter Case Study by Jesus Camacho, Luis Ibarra, Pedro Ponce

“…Therefore, this study was intended to find a fair balance between computational requirements and RTS error, aiming to identify operating conditions applicable to digital systems. …”
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Development of efficient compositions of hydrophobic materials resistant to chemical and biological environments by Salman Dawood Salman Al-Dulaimi, S. I. Bazhenova, I. V. Stepina, I. V. Erofeeva, Victor Afonin

“…This study analyzed experimental data statistically and analytically. According to computational analysis and experimental validation, the sealant material has an adhesive strength of 3.8 MPa and a sealant layer strength of 36–37 MPa. …”
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Advancing privacy-aware machine learning on sensitive data via edge-based continual µ-training for personalized large models by Zhaojing Huang, Leping Yu, Luis Fernando Herbozo Contreras, Kamran Eshraghian, Nhan Duy Truong, Armin Nikpour, Omid Kavehei

“…The experimental setup, optimized for on-device inference and fine-tuning with limited computational resources, demonstrates moderate yet promising enhancements in model performance post-fine-tuning. …”
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Modeling of magnetic vestibular stimulation experienced during high-field clinical MRI by Ismael Arán-Tapia, Vicente Pérez-Muñuzuri, Alberto P. Muñuzuri, Andrés Soto-Varela, Jorge Otero-Millan, Dale C. Roberts, Bryan K. Ward

“…Methods We developed a mathematical model integrating computational fluid dynamics, fluid-structure interaction solvers, and magnetohydrodynamic equations to simulate the biomechanical response of the cristae ampullares. …”
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Harnessing the Influence of Pressure and Nutrients on Biological CO₂ Methanation Using Response Surface Methodology and Artificial Neural Network—Genetic Algorithm Appro... by Alexandros Chatzis, Konstantinos N. Kontogiannopoulos, Nikolaos Dimitrakakis, Anastasios Zouboulis, Panagiotis G. Kougias

“…The results highlight the synergistic effects of pressure and trace metals in enhancing gas–liquid mass transfer and enzymatic pathways, demonstrating the potential of computational modeling and experimental validation to optimize biological methanation systems, contributing to sustainable methane production.…”
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Comprehensive comparative metabolome study of a large collection of Corsican bryophytes by Anaïs Pannequin, Anaïs Pannequin, Alain Muselli, Laurence Marcourt, Laurence Marcourt, Emerson Ferreira Queiroz, Emerson Ferreira Queiroz, Luis-Manuel Quiros-Guerrero, Luis-Manuel Quiros-Guerrero, Yoshinori Asakawa, Miwa Dounoue-Kubo, Jean-Luc Wolfender, Jean-Luc Wolfender

“…Metabolite profiling was performed by UHPLC-HRMS/MS and the data was extensively annotated using computational tools and molecular networking. This allowed us to describe in detail the chemical space covered by our collection and to establish comparisons between all the moss and liverwort species available. …”
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High-power ultrasound pretreatment for enhanced protein extraction from lupin flour: Impact on yield, anti-technological and anti-nutritional factors, and techno-functional propert... by Paola Navarro-Vozmediano, Esperanza Dalmau, Jose Benedito, Jose V. Garcia-Perez

“…Ultrasonic field was characterized by computing acoustic pressure from frequency spectra analysis.In general terms, pretreatment reduced noticeably ANF and ATF in both LF and protein isolate (LPI), while also producing a protein concentrate (LPC, avg. 65 g protein/100 g) with low ANF and ATF content. …”
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Simulation of interferometric imaging with EISCAT_3D for fine-scale in-beam incoherent scatter spectra measurements by D. Huyghebaert, D. Huyghebaert, B. Gustavsson, J. Vierinen, A. Kvammen, M. Zettergren, J. Swoboda, I. Virtanen, S. M. Hatch, K. M. Laundal

“…The pre-calculation of the inversion matrix can reduce computational overhead in the imaging solution. This study provides a framework for data processing of ion-line incoherent scatter radar spectra to be imaged at fine scales. …”
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Effects of heat generation and absorption on thermal radiative MHD flow of chemically reacting Casson nanofluids over a wedge by S. Venkateswarlu, B. Hari Babu, M. Veera Krishna

“…To vindicate the current analysis, the computational outputs are comparing by the previous available works which is accessible in the literature and they determined to be in the good concurrence. …”
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Laboratory information systems for research management in biology by A. M. Mukhin, F. V. Kazantsev, S. A. Lashin

“…Their application to the organization of scientific activity helps to manage the flow of actions and data, allowing all participants to work with relevant information and solving the issue of reproducibility of both experimental and computational results. The article describes methods for organizing data flows within a team, principles for organizing metadata and ontologies. …”
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AutoMEX: Streamlining material extrusion with AI agents powered by large language models and knowledge graphs by Haolin Fan, Junlin Huang, Jilong Xu, Yifei Zhou, Jerry Ying Hsi Fuh, Wen Feng Lu, Bingbing Li

“…While the framework shows promising potential, challenges such as the computational demands of advanced LLMs and the need for continual updates to the KG remain areas for future work. …”
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ZSM-Based E2E Security Slice Management for DDoS Attack Protection in MEC-Enabled V2X Environments by Rodrigo Asensio-Garriga, Pol Alemany, Alejandro M. Zarca, Roshan Sedar, Charalampos Kalalas, Jordi Ortiz, Ricard Vilalta, Raul Munoz, Antonio Skarmeta

“…Research on vehicle-to-everything (V2X) is attracting significant attention nowadays, driven by the recent advances in beyond-5G (B5G) networks and the multi-access edge computing (MEC) paradigm. However, the inherent heterogeneity of B5G combined with the security vulnerabilities of MEC infrastructure in dynamic V2X scenarios introduces unprecedented challenges. …”
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Surface molecular engineering to enable processing of sulfide solid electrolytes in humid ambient air by Mengchen Liu, Jessica J. Hong, Elias Sebti, Ke Zhou, Shen Wang, Shijie Feng, Tyler Pennebaker, Zeyu Hui, Qiushi Miao, Ershuang Lu, Nimrod Harpak, Sicen Yu, Jianbin Zhou, Jeong Woo Oh, Min-Sang Song, Jian Luo, Raphaële J. Clément, Ping Liu

“…Importantly, the thiol modification extends the amount of time that the sulfide SSE can be exposed to air with 33% relative humidity (33% RH) with limited degradation of its structure while retaining a conductivity of above 1 mS cm-1 for up to 2 days, a more than 100-fold improvement in protection time over competing approaches. Experimental and computational results reveal that the thiol group anchors to the SSE surface, while the hydrophobic hydrocarbon tail provides protection by repelling water. …”
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Understanding uncertainties in the satellite altimeter measurement of coastal sea level: insights from a round-robin analysis by F. Birol, F. Bignalet-Cazalet, M. Cancet, M. Cancet, J.-A. Daguze, W. Fkaier, E. Fouchet, E. Fouchet, F. Léger, C. Maraldi, F. Niño, M.-I. Pujol, N. Tran

“…Here, we take advantage of the recent availability of many new algorithms developed for altimetry sea level computation to quantify and analyze the uncertainties associated with the choice of algorithms when approaching the coast. …”
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Research into the Possibilities of Improving the Adhesion Properties of a Locomotive by Vadym Ishchuk, Kateryna Kravchenko, Miroslav Blatnický, Alyona Lovska, Ján Dižo

“…For the simulation computation of the locomotive bogie, two types of railway tracks were chosen. …”
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Energy efficiency and productivity improvements analysis in a Brazilian steel plant: simulation model using JaamSim open source software by Rodrigo de Paula Oliveira, Wilson Trigueiro de Sousa Júnior, Roberta Alves, Alexandre Ferreira de Pinho, Helio Tavares de Sá Neto

“…An important technical tool that can help to address these factors together is Discrete Event Simulation (DES), a well-known computational simulation method to support decision-making. …”
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Method of Helicopter Turboshaft Engines’ Protection During Surge in Starting Mode by Denys Baranovskyi, Serhii Vladov, Maryna Bulakh, Victoria Vysotska, Viktor Vasylenko, Jan Czyżewski

“…The backpropagation algorithm with hyperparameter optimization via Bayesian optimization was used to train the network. The computational experiments result with the TV3-117 turboshaft engine on a semi-naturalistic simulation stand showed that the proposed model effectively prevents compressor surge by stabilizing pressure, vibration, and gas temperature and reduces rotor speed by 29.7% under start-up conditions. …”
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