Data-driven parameter optimization for bead geometry in wire arc additive manufacturing of 17-4 PH stainless steel by Muhammad Irfan, Yun-Fei Fu, Shalini Singh, Sajid Ullah Butt, Abul Fazal Arif, Osezua Ibhadode, Ahmed Qureshi

“…Because of its high deposition rate, Wire Arc Additive Manufacturing (WAAM) can produce large metal structures. However, consistent bead profiles remain challenging because the process is highly sensitive to variations in thermal input and deposition conditions. …”
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Discovering New Tyrosinase Inhibitors by Using In Silico Modelling, Molecular Docking, and Molecular Dynamics by Kevin A. OréMaldonado, Sebastián A. Cuesta, José R. Mora, Marcos A. Loroño, José L. Paz

“…<b>Background/Objectives:</b> This study was used in silico modelling to search for potential tyrosinase protein inhibitors from a database of different core structures for IC₅₀ prediction. <b>Methods</b>: Four machine learning algorithms and topographical descriptors were tested for model construction. …”
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Numerical Simulation for Thermal Shock Resistance of Ultra-High Temperature Ceramics Considering the Effects of Initial Stress Field by Weiguo Li, Tianbao Cheng, Dingyu Li, Daining Fang

“…The external constraint prepares a compressive stress field in the structure because of the predefined temperature field, and this compressive stress field relieves the tension stress in the structure when it is cooled down and then it improves the TSR of UHTCs. …”
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Lamellation Fractures in the Paleogene Continental Shale Oil Reservoirs in the Qianjiang Depression, Jianghan Basin, China by Lianbo Zeng, Zhiguo Shu, Wenya Lyu, Mingjing Zhang, Hanyong Bao, Shaoqun Dong, Shuangquan Chen, Xiang Xu

“…Therefore, when other influence factors are similar, lamellation fractures develop better in the high part of the structure than in the low part.…”
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Using handheld mobile laser scanning to quantify fine-scale surface fuels and detect changes post-disturbance in northern California forests by Alanna J. Post, Brieanne Forbes, Zane Cooper, Kristi Faro, Catherine Seel, Matthew Clark, Mathias Disney, Lisa Patrick Bentley

“…The understory plays a critical role in the disturbance dynamics of forest, as it influences wildfire behavior. Unfortunately, the structure of understory fuels is difficult to quantify due to heterogeneity. …”
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COMPOSITION UNIQUENESS OF “KONARMIA” (“CAVALRY ARMY”) BY I. BABEL by Feliks M. Shteinbuk

“…Another example of how important the composition structure of “Konarmiya” (“Cavalry Army”) for its content is the presence and position of the episodes related with the topos of movement. …”
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Area and isolation influence on bird diversity in Eucalyptus plantations: An island biogeography perspective by José A. Oddi, Aldana M. Ariza, Julieta Filloy

“…We also recorded vegetation structure variables within plantations to control for the potential influence of habitat structural complexity. …”
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Minimax Theorems for Set-Valued Mappings under Cone-Convexities by Yen-Cherng Lin, Qamrul Hasan Ansari, Hang-Chin Lai

“…The aim of this paper is to study the minimax theorems for set-valued mappings with or without linear structure. We define several kinds of cone-convexities for set-valued mappings, give some examples of such set-valued mappings, and study the relationships among these cone-convexities. …”
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Power Quality State Estimation for Distribution Grids Based on Physics-Aware Neural Networks—Harmonic State Estimation by Patrick Mack, Markus de Koster, Patrick Lehnen, Eberhard Waffenschmidt, Ingo Stadler

“…A physics-aware approach enhances a data-driven model, taking into account the structure of the electrical network. An OpenDSS simulation generates data for model training and validation. …”
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Ion-acoustic waves with orbital angular momentum in a partially degenerate plasma by B. M. Alotaibi, Ata-ur-Rahman, Maqsood Ullah, S. Bukhari, F. Hadi, Sheraz Khan, Alim Alim, Samir A. El-Tantawy

“…Utilizing a fluid model, we derive the linear paraxial equation for ion density perturbations, where the electric field is decomposed into cylindrical components to reveal a helical, non-planar wave structure. …”
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The Gerber-Shiu Expected Penalty Function for the Risk Model with Dependence and a Constant Dividend Barrier by Donghai Liu, Zaiming Liu, Dan Peng

“…We consider a compound Poisson risk model with dependence and a constant dividend barrier. A dependence structure between the claim amount and the interclaim time is introduced through a Farlie-Gumbel-Morgenstern copula. …”
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An assessment of the teacher completed 'Early Years Foundation Stage Profile' as a routine measure of child developmental health. by Kate E Mooney, Charlie Welch, Gareth Palliser, Rachael W Cheung, Dea Nielsen, Lucy H Eddy, Sarah L Blower

“…The internal consistency and structural validity of the EYFSP total score were investigated using Confirmatory Factor Analysis and a Rasch model. …”
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External electric effect on the adsorption of benzene on Mg4O4 cluster: A DFT investigation by Maryam Taheri Jam, Reza Ghiasi, Sahar Baniyaghoob

“…Variations in the dipole moment, polarizability as well as structural factors were exhibited in the presence and absence of EEF. …”
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DC-Mamba: A Novel Network for Enhanced Remote Sensing Change Detection in Difficult Cases by Junyi Zhang, Renwen Chen, Fei Liu, Hao Liu, Boyu Zheng, Chenyu Hu

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Machine Learning-Enabled Prediction and Mechanistic Analysis of Compressive Yield Strength–Hardness Correlation in High-Entropy Alloys by Haiyu Wan, Baobin Xie, Hui Feng, Jia Li

“…Correlation analysis on the expanded dataset reveals a general positive trend between σ_y and HV (overall Pearson r = 0.75) but highlights a strong dependence on the predicted phase structure. The single-phase BCC alloys exhibit the strongest linear correlation between σ_y and HV (r = 0.88), whereas the single-phase FCC alloys show a weaker linear dependence (r = 0.59), and multiphase alloy systems display varied behavior. …”
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Reductions in brainstem volume as a key macrostructural indicator in at-risk populations for Alzheimer’s disease by Thomas M Lancaster, Kevin Murphy, Hannah Chandler

“…While changes in cingulate and medial temporal lobe structures may be functionally implicated in cognitive decline, little is known about the viability of brain-based biomarkers that support autonomic functions implicated in preclinical AD risk such as the brainstem. …”
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Functional potential of English cognitive verbs in narrative (on the material of the works by M. Atwood) by Iryna Dilai

“…The ideational linguistic metafunction of the cognitive verbs realized in the works reflects the internalized structures of the narrator’s and characters’ consciousness and appeals to the reader’s active mental cooperation. …”
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Tracking spatio-temporal LULC changes in key ecological network elements using fragmentation metrics and a custom raster-based approach: A multi-scale study from Poland by Marta Kubacka, Witold Piniarski, Patryk Żywica, Amy E. Frazier

“…This study examines LULC dynamics in the Wielkopolska region (Poland) over three periods (2008, 2014, 2020) using a raster-based method that enhances fragmentation assessment by incorporating fine-scale features, including linear structures often overlooked in conventional datasets. …”
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An Adaptive X‐Ray Dynamic Image Estimation Method Based on OMNI Solar Wind Parameters and SXI Simulated Observations by R. C. Wang, Anders M. Jorgensen, Dalin Li, Tianran Sun, Zhen Yang, Xiaodong Peng

“…Experimental validation demonstrates apparent improvements in Peak signal‐to‐noise ratio (PSNR) and Structural Similarity (SSIM) compared to traditional linear and optical flow interpolation methods. …”
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Experimental Investigation of Axial Pull-out Behavior of Glued-in Threaded Rods in Cross-Laminated Timber by Zhibin Ling, Zheng Li, Zhoujun Li, Chao Yang, Wei Zheng, Lingfeng Zhang

“…Glued-in rod (GiR) connections, which offer a concealed appearance, high strength, withdrawal stiffness, ease of construction, and fire resistance, have become a promising solution for CLT structures. This study experimentally investigated the axial pull-out behavior of GiR connections in CLT. …”
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