Semi-analytical solution of cohesive zone model for cement-based materials by Yong-Kang Hou, Shu-Jin Duan, Rui-Mei An, Xin-Yue Wang

“…Understanding the mechanisms behind tensile cracking shows great significance in guiding the design of cement-based materials and their structures. Hence, a semi-analytical solution of the cohesive zone model (CZM) was developed to describe the failure mode of cement-based materials. …”
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Inverse Stochastic Resonance in Cerebellar Purkinje Cells. by Anatoly Buchin, Sarah Rieubland, Michael Häusser, Boris S Gutkin, Arnd Roth

“…Purkinje neurons play an important role in cerebellar computation since their axons are the only projection from the cerebellar cortex to deeper cerebellar structures. They have complex internal dynamics, which allow them to fire spontaneously, display bistability, and also to be involved in network phenomena such as high frequency oscillations and travelling waves. …”
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Differential quadrature free vibration analysis of sandwich plates with curvilinear fiber variable stiffness composite face sheets by Zhenyu Zhou

“…Key results demonstrate that optimizing the fiber path can enhance the fundamental frequency of VSCL sandwich plates by up to 32.7% (CFFF boundary), providing an efficient design tool for vibration control of aerospace lightweight structures.…”
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Statistical Analysis of Soil Parameters Affecting the Bearing Capacity and Settlement Behaviour of Gravel Soils by Ayşe Bengü Sünbül Güner, Ercan Özgan

“…Understanding the geotechnical behavior of soils is fundamental for the safe design and performance of engineering structures. This study investigates the bearing capacity and settlement behavior of gravel soils using extensive field and laboratory data collected from 27 boreholes in Düzce, northwest Türkiye. …”
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Spectral signatures of the Markovian to non-Markovian transition in open quantum systems by Zeng-Zhao Li, Chi-Hang Lam, Cho-Tung Yip, Bo Li

“…Moreover, we find that spectral features serve as highly sensitive indicators for distinguishing the geometric structures of aggregates while also unveiling the critical role that geometry plays in shaping non-Markovian behavior. …”
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Semantic ECG hash similarity graph by Yixian Fang, Shilin Zhang, Yuwei Ren

“…However, most existing graph structures primarily focus on local similarity while overlooking global semantic correlation. …”
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PREDICTION OF VELOCITIES OF MODERN VERTICAL MOVEMENTS OF THE EARTH’S CRUST FROM GEODETIC, GEOPHYSICAL AND SEISMOLOGICAL DATA by K. I. Markovich

“…In such case, prediction of modern vertical crustal movement velocities should be based on established patterns and correlations between the crustal movements, geophysical fields, and development history of geological structures and their elements.…”
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Boron-Doped Graphene Quantum Dots (BGQDs) from Spent Coffee Ground for Glucose Sensor by Filimon Hadish, Meng-Hsuan Chiang, Yi-Fang Hsieh, Shao-Yu Wu, Shyankay Jou

“…FTIR and XPS characterizations reveal that the boron atoms have been successfully doped into graphene structures. BGQDs on glassy carbon electrode (GCE) in PBS were found to be two times as active compared to GCE/GQDs electrodes. …”
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MR-EILLS: an invariance-based Mendelian randomization method integrating multiple heterogeneous GWAS summary datasets by Lei Hou, Hao Chen, Xiao-Hua Zhou

“…Abstract Diverse genetic structures can lead to heterogeneity among GWAS summary datasets from distinct populations. …”
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Sparse sufficient dimension reduction for directional regression by Gayun Kwon, Gijeong Noh, Kyongwon Kim

“…We further apply our method to two real-world datasets to present its practical value in extracting meaningful insights from complex data structures.…”
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Soil liquefaction assessment using machine learning by Gamze Maden Muftuoglu, Kaveh Dehghanian

“…Liquefaction is one of the prominent factors leading to damage to soil and structures. In this study, the relationship between liquefaction potential and soil parameters is determined by applying feature importance methods to Random Forest (RF), Logistic Regression (LR), Multilayer Perceptron (MLP), Support Vector Machine (SVM) and eXtreme Gradient Boosting (XGBoost) algorithms. …”
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A lightweight high-frequency mamba network for image super-resolution by Tao Wu, Wei Xu, Yajuan Wu

“…Various methods based on convolutional neural network (CNN) and Transformer structures have emerged, but few studies have mentioned how to combine these two parts of information. …”
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Renewable Energy and Price Stability: An Analysis of Volatility and Market Shifts in the European Electricity Sector (2015–2025) by Marek Pavlík, František Kurimský, Kamil Ševc

“…Based on high-frequency data (at 15 min to hourly resolution) on electricity prices, solar and wind generation, and residual load, both year-on-year and structural changes in volatility are quantified. The results show a significant increase in volatility after 2021, with outliers appearing particularly during the 2022 energy crisis, most notably in countries with a high share of RES and limited system flexibility. …”
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Predictive modeling of longitudinal cracking in CRCP using PSO-tuned gradient boosting machines by Ali Alnaqbi, Ghazi G. Al-Khateeb, Waleed Zeiada

“…Abstract Longitudinal cracking poses a serious threat to the longevity and functionality of continuously reinforced concrete pavement (CRCP). Using structural, traffic, and climatic data taken from the Long-Term Pavement Performance (LTPP) database, this study presents a machine learning system based on a gradient boosting machine (GBM) optimized using particle swarm optimization (PSO) to forecast longitudinal cracking. …”
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Measurement and Analysis of Deformation of Underlying Tunnel Induced by Foundation Pit Excavation by Quan Yin, Tan Xin, Hu Zhenggang, Huang Minghua

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The V4: a Decade after the EU Entry by Eduard Nežinský, Elena Fifeková

“…The main concern for economic policy in the V4 as well as the entire EU continues to be tackling unemployment and facilitating factors´ productivity by structural reforms. The paper makes use of parametric and non-parametric approaches with a view to cross-checking the results obtained on the technological change within the EU at large and across the V4 countries in particular. …”
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Quantitative Fractal Analysis of Fracture Mechanics and Damage Evolution in Recycled Aggregate Concrete Beams: Investigation of Dosage-Dependent Mechanical Response Under Increment... by Xiu-Cheng Zhang, Xue-Fei Chen

“…These findings are crucial for engineering design and application, enabling better evaluation of structural performance under various conditions.…”
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Active Vibration Control of Plate Partly Treated with ACLD Using Hybrid Control by Dongdong Zhang, Ling Zheng

“…Therefore, its application in structural engineering can be highly appreciated.…”
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Rotational molding of LLDPE/coir fiber composites: Effect of fiber on mechanical, thermal, morphological and flammability properties by Lumirca Del Valle Espinoza León, Viviane Alves Escócio, Leila Lea Yuan Visconte, Ana Maria Furtado de Sousa, Ana Lúcia Nazareth da Silva, Elen Beatriz Acordi Vasques Pacheco

“…This study uses a rotomolding procedure to produce hollow cubes made of linear low-density polyethylene (LLDPE) and coconut fibers (CF). …”
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Localization and Study of Histochemical Effects

“…Localization of excess Mn is therefore of special interest for understanding metal tolerance mechanisms in this species. In this study, structural and histochemical alterations caused by Mn accumulation in leaves were investigated in sunflower (Helianthus annuus L. cv. …”
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