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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Assessment of health-related quality of life and adherence to antituberculosis therapy among patients in three tertiary hospitals in Sierra Leone: a cross-sectional study by Michael Lahai, Sally-Mattu Conteh, Ahmed Vandy, Onome T. Abiri, Brian Thompson, Mohamed Bawoh, Alvin Turay, Peter Bai James

“…Method An institutional-based cross-sectional study was conducted using a structured questionnaire to collect data from 384 patients from Connaught Hospital, Lakka and Kenema government hospitals. …”
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Space-Time Finite Element Tensor Network Approach for the Time-Dependent Convection–Diffusion–Reaction Equation with Variable Coefficients by Dibyendu Adak, Duc P. Truong, Radoslav Vuchkov, Saibal De, Derek DeSantis, Nathan V. Roberts, Kim Ø. Rasmussen, Boian S. Alexandrov

“…We reformulate the assembly process of the finite element discretized CDR to enhance its compatibility with tensor operations and introduce a low-rank tensor structure for the finite element operators. Recognizing the banded structure inherent in the finite element framework’s discrete operators, we further exploit the QTT format of the CDR to achieve greater speed and compression. …”
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Seismic Retrofit of Reinforced Concrete Frame Buildings with Hysteretic Bracing Systems: Design Procedure and Behaviour Factor by Antonio Di Cesare, Felice Carlo Ponzo

“…In order to explain the application of the proposed procedure and its capacity to involve most of the devices in the energy dissipation with similar level of ductility demand, a simple benchmark structure has been studied and nonlinear dynamic analyses have been performed. …”
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Investigation of Aeroelasticity Effect on Missile Separation from the Internal Bay by Shuling Tian, Rongjie Li, Ke Xu

“…During the separation process, the carrier aircraft safety may be threatened due to large slenderness ratio, low structural stiffness, and aeroelasticity effects of the missile. …”
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Adipokines and the Right Ventricle: The MESA-RV Study. by Michael O Harhay, Jorge R Kizer, Michael H Criqui, João A C Lima, Russell Tracy, David A Bluemke, Steven M Kawut

“…These findings complement the associations previously shown between adipokines and LV structure and function in both healthy and diseased patients. …”
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Optimization of urban green space in Wuhan based on machine learning algorithm from the perspective of healthy city by Xuechun Zhou, Xiaofei Zou, Wenzuixiong Xiong

“…Additionally, enhancements in social structure are achieved at rates of 61% and 52% through strengthened community cohesion and improved environmental quality, respectively. …”
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GSBYOLO: A lightweight Multi-Scale fusion network for road crack detection in complex environments by Yuhao Wang, Heran Zhu, Yirong Wang, Jianping Liu, Jun Xie, Bi Zhao, Siyue Zhao

“…Inspired by the concepts of linear transformation and long-range attention mechanisms, a lightweight network structure was designed to reduce model parameters in the backbone network, thereby improving detection efficiency. …”
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Forecasting formation density from well logging data based on machine learning model by Xiankang Cheng, Haoyu Zhang, Haoyu Zhang

“…The reason for adopting the integrated structure is to enhance prediction accuracy and robustness through collaborative optimization of multiple models. …”
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