Mitochondrial genome analysis of the endangered Oreocharis esquirolii: insights into evolutionary adaptation and conservation by Lang Chen, Rong-Rong Yan, Chong-Yi Yang, Li-Zhen Ling, Xin-Xiang Bai, Qi-Fei Ren, Guo-Xiong Hu

“…Results The mitogenome of O. esquirolii exhibited a linear structure, consisting of 36 protein-coding genes (PCGs), 23 tRNA genes, three rRNA genes, and one pseudogene. …”
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Nonlinear Vibration of Multi-Walled Carbon Nanotubes with Initial Curvature Resting on Elastic Foundations in a Nonlinear Thermo-Magnetic Environment by Gbeminiyi Musibau SOBAMOWO, James A. AKANMU, Olurotimi A. ADELEYE, Samuel AKINGBADE, Ahmed Amao YINUSA

“…Therefore, this can be used for the restraining of the chaos vibration in the objective structure. These research findings will assist the designers and manufacturers in developing multi-walled carbon nanotubes for various structural, electrical, mechanical, and biological applications, especially in the areas of designing nanoelectronics, nanodevices, nanomechanical systems, nanobiological devices, and nanocomposites, and particularly when they are subjected to thermal loads, magnetic fields and elastic foundations.…”
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Nonlinearity-induced corner states in a kagome lattice by K Prabith, Georgios Theocharis, Rajesh Chaunsali

“…Stability analysis and nonlinear continuation reveal they are intrinsic nonlinear solutions, fundamentally distinct from perturbations of linear topological or bulk states. These findings elucidate a robust mechanism for generating localized states via nonlinearity, independent of linear topological protection, and advance our understanding of how nonlinearity can give rise to novel boundary phenomena in structured media. …”
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Bending-Induced Cross-Sectional Deformation of Cold-Formed Steel Channel-Section Beams by Liusi Dai, Wenfu He

“…In practice, the cold-formed steel structures are widely used, and their geometrical nonlinearity is of great significance in structural design. …”
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Optimization of spline parameters in approximation of multivalued functions by D. A. Karpov, V. I. Struchenkov

“…When designing the routes of linear structures, it is necessary to consider a problem with an unknown number of elements. …”
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Space performance assessment of traditional houses in Akre by Kadhim Fathel Khalil, Cebar Jamel Sadiq, Rana Fathi Farhan

“…The complex natural and geological structure of cities affects buildings’ spatial structure in terms of the forms of spatial configuration adopted in the design. …”
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Estudio de la influencia de parámetros geométricos en la resistencia de superficies de revolución sometidas a presión externa. // Influence of geometric parameters in the load capa... by V. González Fernández

“…In the same are considered the analytic<br />formulations to take into account the non-linear behaviours, (geometric and physic) when is necessary to verify the collapse of this<br />type of structures.…”
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Adaptive Representations for Improving Evolvability, Parameter Control, and Parallelization of Gene Expression Programming by Nigel P. A. Browne, Marcus V. dos Santos

“…Gene Expression Programming (GEP) is a genetic algorithm that evolves linear chromosomes encoding nonlinear (tree-like) structures. …”
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Tree volume modeling of different poplar clones in plantations in the Vojvodina region by Pantić Damjan, Borota Dragan, Janjatović Živan

“…Due to this sampling structure, it was not possible to build models (tables) at the level of clone, alluvium, soil type and plant spacing, but they were built based on the combined data for the whole area (Vojvodina), with certain exceptions - for I-214 (clone spacing and plant form) by applying the Schumacher-Hall linear mixed hierarchical (cluster) model; for M1 (clone) by applying classical regression analysis and for Deltoid clones (clona-alluvium of the Sava, alluvium of the Danube) by ap­plying the mixed linear hierarchical model, as in the case of I-214. …”
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New Textile Composite Solutions for Armouring of Vehicles by F. Boussu, B. Provost, M. Lefebvre, D. Coutellier

“…The impact energy absorption capacity depends on different and independent parameters, including the shape and speed of the projectile, the type of fibrous structure (geometry), the type and nature of the threads (raw material, linear density, and twisting value), and the type of impregnation of the composite material. …”
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Topological modeling and QSPR based prediction of physicochemical properties of bioactive polyphenols by Abdul Hakeem, Asad Ullah, Shahid Zaman, Emad E. Mahmoud, Hijaz Ahmad, Parvez Ali, Melaku Berhe Belay

“…Abstract Molecular graph theory provides a powerful mathematical framework for representing chemical structures, where atoms and bonds are modeled as vertices and edges of a graph. …”
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An Instantaneous Minimum Input Energy Control Strategy for Isolation Systems With Co-Varying Stiffness and Damping by Leilei Xia, Dehong Wu, Lu Chen, Jingjing Li

“…The seismic isolation stiffness and damping of magnetorheological elastomer (MRE) isolation bearings can adapt instantly to seismic load variations which can provide more intelligent seismic protection for engineering structures. The stiffness and damping change simultaneously following a defined functional relationship. …”
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Research on load design for large containership based on nonlinear springing analysis in frequency domain by Ye Lu, Qiu Jin, Nan Zhao, Chao Tian, Qun Cao

“…The validation confirms that the proposed frequency-domain nonlinear hydroelastic method provides an effective tool for evaluating nonlinear wave-induced vibration response characteristics of large container ships during preliminary structural design stages. This methodology offers valuable insights for ship designers to assess critical structural responses early in the design process.…”
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The research on vibration active control method based on nonlinear reduced-order functions and predictive control by Hongyu Zhou, Wenming Cheng, Run Du, Hetian Chen

“…This paper explores the application of predictive control methods for actively managing structural vibrations and proposes a model predictive controller based on low-dimensional nonlinear reduced-order functions. …”
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Whale Optimization Algorithm-Based LQG-Adaptive Neuro-Fuzzy Control for Seismic Vibration Mitigation with MR Dampers by Xiufang Lin, Weiqing Lin

“…In this paper, an intelligent semiactive control strategy, which combines linear-quadratic-Gaussian (LQG), whale optimization algorithm (WOA), and adaptive neuro-fuzzy inference system (ANFIS) strategy is designed to mitigate structural vibration by using magnetorheological (MR) dampers, here known as WLQG-ANFIS control. …”
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Study of Dynamic Characteristics of Slow-Changing Process by Yinong Li, Ling Zheng, Bangchun Wen

“…Such systems often occur in the working and controlled process of some intelligent structures when vibration and deformation exist synchronously. …”
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Informational Approaches in Modelling Social and Economic Relations: Study on Migration and Access to Services in the European Union by Florentina-Loredana Dragomir-Constantin, Camelia Madalina Beldiman, Monica Laura Zlati

“…The applied methodology includes attribute distribution analysis, identification of hidden patterns through clustering algorithms (K-Means and Expectation-Maximisation) and training of classifiers using regression decision trees with linear leaf models (M5P) corresponding to interdependent data processing and integration modules, exploratory analysis module, machine learning and decision-making modules, oriented to support public policies through explainable scenarios and predictive-evaluative structures. …”
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A novel double machine learning approach for detecting early breast cancer using advanced feature selection and dimensionality reduction techniques by Suganya Athisayamani, Tamilazhagan S, A. Robert Singh, Jae-Yong Hwang, Gyanendra Prasad Joshi

“…This approach effectively captures both structured features and non-linear patterns, making it suitable for datasets with complex dependencies. …”
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Machine Learning‐Based Failure Prediction in Concrete Slabs and Cubes Under Impact Loading by Mohammad Hematibahar, Ahmed Deifalla, Adham E. Ragab, Gebre Tesfaldet

“…Using these models allows engineers to design more resistant and optimal structures against impact loads. This research shows that machine learning models, especially random forest and gradient boosting, can provide accurate predictions of failures and cracks in concrete under impact loads and are useful tools for analyzing concrete behavior under dynamic and complex conditions. …”
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Bessel Beams in Gyroanisotropic Crystals with Optical Activity by Yuriy Egorov, Bogdan Sokolenko, Aziz Aliev, Ruslan Dzhemalyadinov, Ervin Umerov, Alexander Rubass

“…The structure of the fields of the eigenmodes of Bessel beams in a birefringent uniaxial crystal with optical activity is similar to the structure of the modes of a medium with genuine optical activity. …”
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