Compression performance analysis of hexagonal and re-entrant hybrid honeycomb structures by Xiang Peng, Kaiming Zhou, Yang Han, Weiqiang Jia, Jiquan Li, Shaofei Jiang

“…Therefore, the developed honeycomb structures are capable of meeting a wide range of application scenarios.…”
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Reduced-Order Model for Performance Simulation and Conceptual Design of Rocket-Type Pulse Detonation Engines by Luis Sánchez de León, Francisco Sastre, Elena Martin, Angel Velazquez

“…The focus of this method is industrial application in situations where large parametric searches are to be performed with a reasonable level of fidelity at a low computational cost. …”
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Automated building typology clustering and identification using a variational autoencoder on digital land cadastres by Jaime de-Miguel-Rodriguez, M.V. Requena-Garcia-Cruz, E. Romero-Sánchez, A. Morales-Esteban

“…The approach effectively filters out non-representative shapes and is scalable for application across entire cities. By automatically identifying representative building shapes, the method facilitates the creation of parametric structural models, which are essential for developing machine learning tools to predict seismic damage. …”
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Shear capacity of corrugated web steel beams strengthened with CFRP strips by Mohamed A. EL Aghoury, Alshaymaa K. Dyab, Sherif M. Ibrahim, Amr B. Saddek

“…While numerous studies have focused on CFRP strengthening of steel beams with flat webs, similar investigations on corrugated web steel beams (CWSBs) remain limited despite their increasing application in various steel structures. This study presents numerical and analytical investigations aimed at evaluating the effectiveness of CFRP strengthening for CWSBs and developing a design procedure to predict the shear buckling capacity of strengthened CWSBs. …”
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Computational design exploration of rocket nozzle using deep reinforcement learning by Aagashram Neelakandan, Arockia Selvakumar Arockia Doss, Natrayan Lakshmaiya

“…This study presents a novel application of DRL for computational design exploration of rocket nozzles, demonstrating its superiority over traditional parametric optimization techniques. …”
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Prediction of hepatitis-C virus using statistical learning models by Shalini Kumari, Subhajit Das, Prashant Kumar Sonker, Agni Saroj, Mukesh Kumar

“…The models were evaluated using various performance metrics, and a comparative analysis using non-parametric tests was conducted to evaluate the statistical significance of the model. …”
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Influence of Refrigerant Phase Change on Temperature Control Performance of Direct Cooling System for Power Batteries by Gao Shuai, Wang Junbo, Zhu Jiahui, Mao Jiani, Liang Xiaoyu

“…In addition, a sufficiently low refrigerant temperature increases the maximum temperature difference, which restricts the practical application of the direct cooling system. Increasing the evaporating pressure and configuring the plates on both sides can decrease the temperature difference in the vertical direction. …”
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Empirical Validation of a Streamlined Three-Repetition Sit-to-Stand Protocol Using MAI Motion by Yan Wen, Tanvi Verma, Jonathan P. Whitehead, Paul Lee

“…Statistical comparisons (including one way ANOVA followed by paired <i>t</i>-tests or non-parametric equivalents) determined whether differences in mean (DiM) values or CV existed between 3x and 5x. …”
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Evaluation of KDS 14 Draft Model for One-Way Shear Strength of Slender Concrete Members Reinforced with Fiber-Reinforced Polymer (FRP) Rebars by Ngoc Hieu Dinh, Si-Hyun Kim, Kyoung-Kyu Choi

“…However, the JSCE model provided overly conservative predictions for specimens with FRP stirrups because of the rigorous adoption of a strain limit for FRP stirrups. In addition, parametric analyses were conducted, and design examples were presented to further understand the influence of key design parameters and the applicability of the KDS 14 draft model for FRP-RC beams.…”
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Research on Digital Morphogenesis and Sustainability of 3D Printing Bionic Materials Based on Convolutional Neural Networks by Shaoting Zeng, Renshui Zhang, Yifei Cai

“…This allows for the parametric reconstruction of three-dimensional biomimetic models. …”
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Use Cases of Machine Learning in Queueing Theory Based on a <i>GI</i>/<i>G</i>/<i>K</i> System by Dmitry Efrosinin, Vladimir Vishnevsky, Natalia Stepanova, Janos Sztrik

“…It is shown that the application of ML in queueing theory is a promising technique to handle the complexity and stochastic nature of such systems.…”
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Analysis of the physical development and somatotype of girls and females involved into dancing and gymnastic sports by L.V. Podrigalo, H.P. Artemieva, O.A. Rovnaya, A.D. Panshyna, L.A. Ruban, T.V. Merkulova, M.M. Galashko, O.V. Chernukha

“…The results are evaluated by applying parametric and non-parametric statistical indicators. …”
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Modeling Chandy–Lamport Distributed Snapshot Algorithm Using Colored Petri Net by Saeid Pashazadeh, Basheer Zuhair Jaafar Al-Basseer, Jafar Tanha

“…The first aim of this paper is to propose a novel formal hierarchical parametric colored Petri net model of CLP. The number of constituting processes of the model is parametric. …”
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Analysis and Modeling of Statistical Distribution Characteristics for Multi-Aspect SAR Images by Rui Zhu, Fei Teng, Wen Hong

“…Furthermore, we investigate the applicability and limitations of five single-parametric models commonly used in conventional SAR for modeling the statistical distribution characteristics of multi-aspect SAR images. …”
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Advancing building façade design: digital fabrication of an optimized non-conventional roster brick prototype by Dalhar Susanto, Raisa Putri Alifa, Stefanie Aylien, Miktha Farid Alkadri

“…The study contributes to advancing parametric design and digital fabrication techniques in architectural applications, offering a method to enhance occupant comfort while maintaining energy efficiency through innovative building façade solutions.…”
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Selecting differential splicing methods: Practical considerations for short-read RNA sequencing [version 2; peer review: 1 approved, 2 approved with reservations] by Mark J. Dunning, Ben J. Draper, David C. James

“…This review article compiles bioinformatics short-read RNA-seq tools for investigating differential splicing; offering a detailed examination of their statistical methods, case applications, and benefits. A total of 22 tools are categorised by their statistical family (parametric, non-parametric, and probabilistic) and level of analysis (transcript, exon, and event). …”
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Theoretical Derivation and Parameters Analysis of a Human-Structure Interaction System with the Bipedal Walking Model by Huiqi Liang, Zhiqiang Zhang, Peizi Wei

“…The parametric study reveals that the presence of pedestrians is proved to significantly decrease the frequency of human-structure interaction system and improve its damping ratio. …”
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Modeling the Inter-Arrival Time Between Severe Storms in the United States Using Finite Mixtures by Ilana Vinnik, Tatjana Miljkovic

“…Parameter estimation is performed using the Expectation–Maximization algorithm, with model selection validated via the Bayesian information criterion (BIC). To complement the parametric approach, Kaplan–Meier survival analysis was employed to provide non-parametric insights into storm-free intervals. …”
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Comparison of the effects of IMRT and IMPT on MRI features of normal brain tissue: a retrospective study by Jian Xu, Lili Zhang, Tingting Liu, Qingzeng Liu, Jian Zhu

“…Clinical trial number Not applicable.…”
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A Guideline for the Evolution of Quantitative Accounting Research in Iran: Shifting from Local to International Scientific Patterns by Fakhroddin MohammadRezaei

“…In the descriptive statistics section, the emphasis is placed on how to present data, along with parametric and non-parametric analyses and correlations. …”
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