SREDNEKEDROVAYA PALEOSEISMODISLOCATION IN THE BAIKAL RIDGE: ITS STRUCTURE AND THROWS ESTIMATED FROM GROUND‐PENETRATING RADAR DATA by O. V. Lunina, A. S. Gladkov, A. A. Gladkov, I. A. Denisenko

“…Our study aimed to clarify the seismic potential of the Severobaikalsk fault and to discover the structural features of active faults on the NW shores of Lake Baikal. …”
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The utility of dynamic forest structure from GEDI lidar fusion in tropical mammal species distribution models by Patrick Burns, Zaneta Kaszta, Samuel A. Cushman, Samuel A. Cushman, Jedediah F. Brodie, Jedediah F. Brodie, Christopher R. Hakkenberg, Patrick Jantz, Mairin Deith, Matthew Scott Luskin, James G. C. Ball, Jayasilan Mohd-Azlan, David F. R. P. Burslem, Susan M. Cheyne, Susan M. Cheyne, Iding Haidir, Iding Haidir, Andrew James Hearn, Eleanor Slade, Peter J. Williams, David W. Macdonald, Scott J. Goetz

“…Lidar measurements from the Global Ecosystem Dynamics Investigation (GEDI) are shedding light on three dimensional forest structure in regions of the world where this aspect of species habitat has previously been poorly quantified. …”
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IL-17-neutralizing antibody mitigates functional and structural changes in cigarette smoke-induced COPD model by Alyne Riani Moreira, Camila Uchoa da Silva, Leticia de Paula Costa Mattos, Jussara Jesus Simão, Veronica Camargo Berti, Luan Henrique Vasconcelos Alves, Alex Ferreira da Silva, Franciele Jesus Lima, Suellen Karoline Moreira Bezerra, Cintia Nascimento Silva, Maria Isabel Cardoso Allonso- Vale, Iolanda de Fatima Lopes Calvo Tiberio, Francine Maria Almeida, Fernanda Degobbi Tenorio Quirino dos Santos Lopes, Fernanda Degobbi Tenorio Quirino dos Santos Lopes

“…In the COPD groups, an increase in mean linear intercept was observed, along with a decrease in tissue elastance and tissue damping, confirming the COPD development. …”
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An improved meta-heuristic algorithm to optimize the fractional-order controller for an industrial manipulator with a parallelogram structure by Nazila Nikdel

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Structural and Quantitative Analysis of Three C-Glycosylflavones by Variable Temperature Proton Quantitative Nuclear Magnetic Resonance by Jing Liu, Yang Liu, Zhong Dai, Lan He, Shuangcheng Ma

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Investigation of structure, dielectric properties, and AC conductivity at high temperature for chitosan capped metal oxides nanocomposites by Ali H. Bashal, Nazeeha S. Alkayal, Jeenat Aslam, Khaled D. Khalil

“…AC conductivity remained stable at low frequencies and increased linearly at higher frequencies, indicating enhanced charge transport. …”
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Research on the Optimization of the Electrode Structure and Signal Processing Method of the Field Mill Type Electric Field Sensor by Wei Zhao, Zhizhong Li, Haitao Zhang

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Structural Features of Porous Silicon Formed on Heavily Doped Plates of Single-Crystal Silicon with Electron Conductivity by U. P. Lopato, D. D. Laputko, N. L. Grevtsov, V. P. Bondarenko

“…Using scanning electron microscopy, the structures of the surface and internal regions of porous silicon obtained by anodizing heavily doped plates of single-crystal silicon with electron conductivity in a hydrofluoric acid solution at different current densities were studied. …”
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Investigation of structural elastic electronic optical and thermoelectric properties of LiInS₂ and LiInTe₂ for optoelectronic and energy conversion by M. Fatmi, K. Bouferrache, M. A. Ghebouli, B. Ghebouli, S. Alomairy, Faisal Katib Alanazi

“…Abstract In this research, the structural, electronic, optical, and thermoelectric properties of LiInX₂ (X = S, Te) compounds were investigated using first-principles calculations based on Density Functional Theory (DFT). …”
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KEY COMPETENCE AS A BASIS FOR INNOVATION PROJECTS MANAGEMENT by Lyudmyla Chernova

“…It should be noted that an organization may have more than one key competence, especially when we deal with changes in the management structure or entering new markets.  For this class of tasks, the classical linear optimization problem does not fit, since it does not take into account the additional conditions that arise when an organization transitions from one state to another, precisely due to the implementation of the development program.  …”
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Hydrogen-centric machine learning approach for analyzing properties of tricyclic anti-depressant drugs by Simran Kour, J. Ravi Sankar

“…To assess predictive performance, linear regression (LR) and support vector regression (SVR) models were employed.ResultsThe results showed that adding all hydrogen atoms showed strong correlations, especially for polarizability, molar refractivity, and molar volume. …”
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Mixing High-Frequency Bands Based on Wavelet Decomposition for Long-Term State-of-Charge Forecasting of Lithium-Ion Batteries by Yeseo Joo, Chihyeon Choi, Sangho Lee, Youngdoo Son

“…Finally, we integrate the low- and high-frequency features generated solely by linear transformations that help maintain temporal structure and improve long-term forecasting accuracy. …”
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Robust Expansion Planning of Distribution Network in Presence of Electric Vehicles to Improve Economic Parameters and Reduce Energy Consumption by Mahyar Abasi, Javad Ebrahimi, Shirin Besati

“…Thus, this paper utilizes a convex solution method based on integer linear programming to effectively plan the expansion of the distribution network considering the availability of EV charging stations, compensators, substations, resources, and new lines. …”
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Are vision transformers replacing convolutional neural networks in scene interpretation?: A review by N. Arockia Rosy, K. Balasubadra, K. Deepa

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Investigation of the operating characteristics of a free-piston closed-cycle Joule engine generator with helium as working fluid by Benlei Wang, Shunmin Zhu, Ugochukwu Ngwaka, Boru Jia, Kumar Vijayalakshmi Shivaprasad, Yaodong Wang, Andrew Smallbone, Anthony Paul Roskilly, Ercang Luo

“…As an emerging micro- or small-scale energy conversion technology, linear Joule engine generators (LJEGs) combine the advantages of external combustion engines and linear generators, feature the advantages of high thermal-to-electrical efficiency, multi-fuel potential, good operational flexibility, a simple and compact mechanical structure, and low frictional loss. …”
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Effects of perinatal variables on echocardiographic assessments of left ventricular dimensions in infants born large for gestational age: a prospective cohort analysis by Ahmed Amarah, Ibrahim Elmakaty, Iram Nadroo, Manoj Chhabra, Danthanh Hoang, Debbie Suk, Ali M. Nadroo, Nitin Ron, Beata Dygulska, Madhu B. Gudavalli, Pramod Narula, Ashraf Gad

“…Data were analyzed using multivariate linear regression in STATA. Results A total of 563 neonates were enrolled in this study. …”
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Experimental Study on the Effect of Wind Speed on Hail Impacts by Yimin Dai, Yao Deng, Hao Luo, Yanwen Long

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Secret Sharing Limitations Over Boolean Circuits by Iulian Oleniuc, Alexandru Ioniță

“…This paper offers a gentle introduction into the realm of monotone span programs and their connection with linear secret sharing schemes and attribute-based encryption while emphasizing the cryptographic importance of finding efficient MSPs for representing complex access structures. …”
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Comparative study of NLFE models for simulating settlement-induced damage in masonry façades: macro- and simplified micro-models by Alfonso Prosperi, Michele Longo, Paul A. Korswagen, Giorgia Giardina, Jan G. Rots

“…Damage assessment for masonry structures subjected to settlement is crucial for ensuring structural safety, guiding repairs, and preserving the built environment. …”
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Corrugation at the Trailing Edge Enhances the Aerodynamic Performance of a Three-Dimensional Wing During Gliding Flight by Kaipeng Li, Na Xu, Licheng Zhong, Xiaolei Mou

“…Dragonflies exhibit remarkable flight capabilities, and their wings feature corrugated structures that are distinct from conventional airfoils. …”
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