MesoGen—Development of an Android application for the Mesoscopic modeling of concrete by Shaji M Jamal, Neelakantan T.R., Meyyappan Palaniappan

“…Using MesoGen, mesoscopic models of concrete were generated using real sieve analysis and concrete mix data. The generated models were compared with the actual concrete cube of same dimension and it is found that number of aggregates in each segment of sieve analysis grading curve is comparable with that in the numerical model. …”
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Noether symmetry approach in scalar-torsion $$f(T,\phi )$$ f ( T , ϕ ) gravity by L. K. Duchaniya, B. Mishra, Jackson Levi Said

“…The Noether symmetry method is a helpful resource for generating models and finding out the exact solution of the Lagrangian. …”
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Grammatical Error Correction by Transferring Learning Based on Pre-Trained Language Model by HAN Mingyue, WANG Yinglin

“…In this paper, the MASS-GEC is proposed to solve this problem by transferring learning from a pre-trained language generation model, and masked sequence is proposed to sequence pre-training for language generation (MASS). …”
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Modelling fine-sliced three dimensional electron diffraction data with dynamical Bloch-wave simulations by Anton Cleverley, Richard Beanland

“…Currently, data are often processed with software written for X-ray diffraction, using the kinematic theory of diffraction to generate model intensities – despite the inherent differences in diffraction processes in ED. …”
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Modeling brain-heart interactions from Poincaré plot-derived measures of sympathetic-vagal activity by Diego Candia-Rivera

“…This paper presents a new computational method called the Poincaré Sympathetic-Vagal Synthetic Data Generation Model (PSV-SDG) for estimating brain-heart interactions. …”
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Structure-based prediction of T cell receptor:peptide-MHC interactions by Philip Bradley

“…We show that a specialized version of the neural network predictor AlphaFold can generate models of TCR:peptide-MHC interactions that can be used to discriminate correct from incorrect peptide epitopes with substantial accuracy. …”
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Dam Breach Modeling and Downstream Flood Inundation Mapping Using HEC-RAS Model on the Proposed Gumara Dam, Ethiopia by Manamno Beza, Amdeselassie Fikre, Alene Moshe

“…To achieve this objective, the software ArcGIS Version 10.4 extension program of HEC-GeoRAS Version 10 tool was used for HEC-RAS model development, to generate modeling reach and floodplain cross-sectional geometric data and for downstream inundation mapping and HEC-RAS Version 6.3.1 tool was used for subject dam break simulation and unsteady flood routing at downstream regions. …”
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Factors influencing the electronic government adoption among PSM in Oman: A structural equation modeling approach by Musab A. Ali, Saud Ali Habib Al Jardani, Mohammed Najah Mahdi, Ali Abd Almisreb

“…The findings support the TAM theory extremely well, whereby, all the hypothesized paths were asserted. The generated model found three significant direct paths between Perceived Usefulness, Perceived Credibility, and intention as well as between intention and adoption. …”
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Proof-Relevant Logical Relations for Name Generation by Nick Benton, Martin Hofmann, Vivek Nigam

“…Pitts and Stark's $\nu$-calculus is a paradigmatic total language for studying the problem of contextual equivalence in higher-order languages with name generation. Models for the $\nu$-calculus that validate basic equivalences concerning names may be constructed using functor categories or nominal sets, with a dynamic allocation monad used to model computations that may allocate fresh names. …”
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A Hybrid Text Generation-Based Query Expansion Method for Open-Domain Question Answering by Wenhao Zhu, Xiaoyu Zhang, Qiuhong Zhai, Chenyun Liu

“…HTGQE combines large language models with Pseudo-Relevance Feedback techniques to enhance the input for generative models, improving text generation speed and quality. …”
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The Diagnosis of Thyroid Diseases Using Combinati on of Neural Networks through Hierarchical Method by Iman Zabbah, Seyed Ehsan Yasrebi Naeini, Zahra Ramazanpoor, Khadije Sahragard

“…Results: After modeling and comparing the generated models and recording the results, accuracies of predicting thyroid disorders using neural network and hierarchical method were found to be 96.6% and 100% respectively. …”
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Generative Adversarial Learning of Protein Tertiary Structures by Taseef Rahman, Yuanqi Du, Liang Zhao, Amarda Shehu

“…A novel contribution in this study is the demonstration that Wasserstein GAN strikes a good balance and manages to capture both local and distal patterns, thus presenting a first step towards more powerful deep generative models for exploring a possibly very diverse set of structures supporting diverse activities of a protein molecule in the cell.…”
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ESTIMATION ON THE CONCENTRATION OF SUSPENDED SOLIDS FROM TURBIDITY IN THE WATER OF TWO SUB-BASINS IN THE DOCE RIVER BASIN by Amanda R. M. de Oliveira, Alisson C. Borges, Antonio T. Matos, Moysés Nascimento

“…It is concluded that the generated models presented good adjustments being able to be used for predicting the concentration of TSS as a function of turbidity. …”
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Catalyst Modeling Challenges for Electrified Powertrains by Thomas Souliotis, Grigorios Koltsakis, Zissis Samaras

“…Heat retention technologies with use of phase-change materials are also accounted for in these new-generation models. Finally, the need for a tighter integration of these high-fidelity models into a vehicle simulation framework is discussed.…”
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Generation of Antibody-Drug Conjugate Resistant Models by Lucía Gandullo-Sánchez, Alberto Ocaña, Atanasio Pandiella

“…The most common method to generate models of secondary resistance is to treat cancer cell lines or tumors with an ADC. …”
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Identification of the Most Effective Point of Connection for Battery Energy Storage Systems Focusing on Power System Frequency Response Improvement by Thiago Pieroni, Daniel Dotta

“…In this work, a generic battery model is developed in a two-area test system with assumed high wind penetration and full conventional generators models. The full power system is linearized, and the geometric measures of controllability associated with of the frequency regulation mode are estimated. …”
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The expansion process of the Iberian ibex in the Sierra de Guadarrama National Park, Madrid (Spain) by P. Refoyo, C. Olmedo, A. Murciano Cespedosa, B. Muñoz

“…Our results show a relationship between models and the species' current presence. The generated model can be useful to define the preferred locations of the species. …”
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MORPHOLOGY STUDIES AS A SUPPORT FOR THE QUALIFICATION OF THE BUILT SPACE: TYPOLOGY OF BLOCKS by INARA PAGNUSSAT CAMARA, JOSELAINE TESK

“…The main objective is to understand the temporal evolution and generate models that can be used as parameters of block drawings focused on the geography of the sites, contributing to the urban planning of housing allotments more analogous in the distribution of lots. …”
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Statistical analysis of error propagation from radar rainfall to hydrological models by D. Zhu, D. Z. Peng, I. D. Cluckie

“…This preliminary radar-error-generation model could be developed more rigorously and comprehensively for the error characteristics of weather radars for quantitative measurement of rainfall.…”
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Pose‐driven human activity anomaly detection in a CCTV‐like environment by Yuxing Yang, Federico Angelini, Syed Mohsen Naqvi

“…Most anomaly detection algorithms are generative models and learn features from raw images. This work shows that popular state‐of‐the‐art autoencoder‐based anomaly detection systems are not capable of effectively detecting human‐posture and object‐positions related anomalies. …”
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