Effect of foam interlayer thickness and pore size on the microstructure and properties of brazed joints by Yifeng Xiao, Zhang Song, Qiankun Zhang, Rui Zhang, Shijie Bai, Liang Wu

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Integrated LCA and LCCA for various compositions and traffic classes of hot mix asphalt and cold in-place recycling pavements in Saudi Arabia by Fawaz Alharbi, Husnain Haider, Meshal Almoshaogeh, Md Niamot Alahi, Arshad Jamal

“…The study conducted Life Cycle Analysis (LCA) and Life Cycle Cost Analysis (LCCA) of 50 [25 hot mix asphalt (HMA) and 25 cold in-place recycling (CIR)] scenarios with combinations of five pavement layers' thicknesses and five traffic classes (TCs) with equivalent single-axle loads (ESALs) from 250,000 to 31,000,000. …”
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Improvement of the "Slowness-Time Coherence" Method of Processing Borehole Acoustic Data Arrays by Sergii Lavreniuk, Yevhen Nazarenko, Daria Tulchynska, Petro Tulchynskyi

“…The main disadvantages of STC method are the high cost and complexity of operating multi-channel sonic tools, and low quality of STC method in layers of high anisotropy, high fracturing, carbonate deposits, in horizontal wells. …”
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THE POST-SEDIMENTARY CHARACTER OF DEVELOPMENT OF INTRAPLATE DISLOCATIONS AS A REFLECTION OF IMPULSIVENESS OF DEFORMATION PROCESSES by V. I. Popkov

“…At the background of the long-term (tens and hundreds of million years) quiet evolution of the territory under study, short-term intervals are distinguished, which duration amounts to the first millions of years (typically manifested in one or two stratigraphic layers); in such time intervals, tectonic movements were dramatically boosted and accompanied by land uplifting, sea regression, erosion of sediments accumulated earlier and manifestation of deformation processes.The paleotectonic reconstructions show that during such ‘revolutionary’ stages, large tectonic elements occurred along with local uplifts that added to their complexity. …”
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Using deep convolutional neural networks to forecast spatial patterns of Amazonian deforestation by James G. C. Ball, Katerina Petrova, David A. Coomes, Seth Flaxman

“…Predicting the location of deforestation is challenging due to the complexity of the natural and human systems involved but accurate and timely forecasts could enable effective planning and on‐the‐ground enforcement practices to curb deforestation rates. …”
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Characterization of Wi-Fi Access Point Energy Consumption and the Impact of IEEE 802.11 Standard Evolutions by Hamidou Dembele

“…Unlike traditional static or linear models that overlook dynamic behavior and upper-layer processing costs, our model better captures the complexity of real-world AP usage.…”
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Deploying machine learning for long-term road pavement moisture prediction: A case study from Queensland, Australia by Ayesh Dushmantha, Ruixuan Zhang, Yilin Gui, Jinjiang Zhong, Chaminda Gallage

“…Addressing this gap, the present study employs five traditional machine learning (ML) algorithms, K-nearest neighbors (KNN), regression trees, random forest, support vector machines (SVMs), and gaussian process regression (GPR), to forecast moisture levels within pavement layers over time, with varying algorithm complexities. …”
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Leaf Water Storage Capacity Among Eight US Hardwood Tree Species: Differences in Seasonality and Methodology by Natasha Scavotto, Courtney M. Siegert, Heather D. Alexander, J. Morgan Varner

“…These results underscore the complexity of leaf water storage dynamics, the methodology, and the implications for forest hydrology and species interactions. …”
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The use of pretrained neural networks for solving the problem of reverse searching of X-ray images of prohibited items and substances by A. K. Volkov, L. V. Mironova, S. E. Potapova

“…In order to apply this model to extract image feature vectors, the last classification layer was preliminarily removed. All the previous layers of the model encode the image into a vector. …”
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Retinal and Choroidal Alterations in Thyroid-Associated Ophthalmopathy: A Systematic Review by Alexandra Magdalena Ioana, Diana Andrei, Daniela Iacob, Sorin Lucian Bolintineanu

“…Parameters such as the retinal nerve fiber layer (RNFL), ganglion cell complex (GCC), ganglion cell layer (GCL), and choroidal thickness were analyzed. …”
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Stress-Deformation Mechanisms of Tunnel Support in Neogene Red-Bed Soft Rock: Insights from Wireless Remote Monitoring and Spatiotemporal Analysis by Jin Wu, Zhize Han, Yunxing Wang, Feng Peng, Geng Cheng, Jiaxin Jia

“…This paper focuses on the mechanical behavior and support effect during the construction of Neogene red-layer soft rock tunnels. Through field monitoring, it explores the mechanical characteristics of Huizhou Tunnel under complex geological conditions in depth. …”
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Carrier design based on zein: From the perspectives of multi-molecule encapsulation, probiotic encapsulation, and application standards by Defeng Shu, Yueyue Liu, Jinlong Xu, Yongkai Yuan

“…For carrier design of probiotics, the methods include layer-by-layer self-assembly/complex coacervation based on zein nanoparticles, microcapsules, emulsion, and probiotic biofilm formation based on zein fibers. …”
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Accurate Calculation of Tight Sandstone Permeability Based on Multi-Key Well Average Curve Standardization Scheme by SUI Qiang, LI Xueying, ZHU Baifeng, HE Xuchao

“…The tight sandstone reservoirs in area X exhibit complex geological conditions and strong longitudinal and horizontal heterogeneity. …”
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Cumulative Load Forecasting in Microgrid Clusters Using Enhanced-Gated Recurrent Unit Model by Zhe-Hao Chang, Yi-Kuan Ke

“…By adjusting the layer-wise adaptivity during gradient updates, the proposed model improves the accuracy and stability of time series forecasting for complex load structures in microgrid clusters. …”
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Fatigue crack growth in additive manufactured products by A. Riemer, H. A. Richard, J.-P. Brüggemann, J.-N. Wesendahl

“…Additive Manufacturing (AM) is a new innovative technique that allows the direct fabrication of complex, individual, delicate and high-strength products, based on their 3D data. …”
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The Kuchum Settlement: The Capital of Siberia or a Historical Myth (Archaeological Facts and Historical Assumptions) by Adamov A.A.

“…Zykov and the author revealed a complex multi-level fortification system aimed at defending the capital of the Siberian Khanate. …”
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PointNet++SAKS: A Point Cloud Model Based on KANs and Attention Mechanism for Objects Classification and Semantic Segmentation by Xiaofeng Lu, Zhiwei Guan, Dangfeng Pang, Rupeng Dou, Xiaolong Zheng

“…Unlike MLPs, which rely only on layer-by-layer weighted linear transformations, KANs introduce more nonlinear and hierarchical interactions in modeling the local structure, making it better able to understand and model the complex relationships between points in a local region. …”
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Event co-occurrences for prompt-based generative event argument extraction by Jiaren Peng, Wenzhong Yang, Fuyuan Wei, Liang He, Long Yao, Hongzhen Lv

“…These co-occurring event knowledge assist the model in handling complex event relationships. Additionally, to emphasize the template corresponding to the current event being extracted and enhance its constraint on the output format, we employ the present event bias module to integrate the template information into the calculation of attention at each layer of the model. …”
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Enhanced Lightweight YOLO Model for Efficient Vehicle Detection in Satellite Imagery by Mohamad Haniff Junos, Anis Salwa Mohd Khairuddin, Elmi Abu Bakar, Ahmad Faizul Hawary

“…Vehicle detection in satellite images is a challenging task due to the variability in scale and resolution, complex background, and variability in object appearance. …”
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Deep Learning-Based Intelligent Detection Algorithm for Surface Disease in Concrete Buildings by Jing Gu, Yijuan Pan, Jingjing Zhang

“…To solve the problem of insufficient feature extraction of small targets in bridge disease images under complex backgrounds and noise, we propose the YOLOv8 Dynamic Plus model. …”
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