Fusing Events and Frames with Coordinate Attention Gated Recurrent Unit for Monocular Depth Estimation by Huimei Duan, Chenggang Guo, Yuan Ou

“…Coordinate attention explicitly models inter-channel dependencies and coordinate information in space. …”
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Limitations to Dynamical Error Suppression and Gate-Error Virtualization from Temporally Correlated Nonclassical Noise by Michiel Burgelman, Nattaphong Wonglakhon, Diego N. Bernal-García, Gerardo A. Paz-Silva, Lorenza Viola

“…Realistic multiqubit noise processes often result in error mechanisms that are not captured by the probabilistic Markovian error models commonly employed in circuit-level analyses of quantum fault tolerance. …”
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Integrated diagnostic analysis of ejecta from lead with micro-defects under detonation loading by Dasen Xu, Huaipu Kang, Liang Qiao, Haoyu Chen, Tiegang Tang, Guowu Ren, Yongtao Chen

“…Concurrently, high-speed X-ray imaging offered two-dimensional density distributions, which were processed via Abel inversion to obtain three-dimensional ejecta profiles.ResultsThe combined approach successfully resolved both dense and sparse ejecta layers, revealing complex velocity gradients ranging up to nearly 3000 m/s and indicating localized tensile failures driven by micro-defects. …”
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Experimental Research and Numerical Analysis on Fire Resistance of Prefabricated Concrete Composite Beams by LIU Yanchun, SUN Shuqi, LIU Caiwei, WANG Pengfei, LU Xiuliang, MAO Jiayuan, MIAO Jijun

“…An increase in the thickness of the concrete protective layer leads to a linear improvement in the fire resistance limit of the stacked beams. …”
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Marine organic aerosol at Mace Head: effects from phytoplankton and source region variability by E. Chevassus, K. N. Fossum, D. Ceburnis, L. Lei, C. Lin, C. Lin, W. Xu, W. Xu, C. O'Dowd, J. Ovadnevaite

“…MSA-OA is primarily associated with the Iceland Basin, with rapid production following coccolithophore blooms (lag of 1–2 <span class="inline-formula">d</span>), while diatoms contribute to a slower formation process (lag of 9 <span class="inline-formula">d</span>), reflecting distinct oceanic biological processes. …”
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Comparative proteomics of biofilm development in Pseudoalteromonas tunicata discovers a distinct family of Ca2+-dependent adhesins by Sura Ali, Alexander Stavropoulos, Benjamin Jenkins, Sadie Graves, Atiyeh Ahmadi, Vania Marzbanrad, Geoffrey Che, Jiujun Cheng, Huagang Tan, Xin Wei, Suhelen Egan, Brian Ingalls, Josh D. Neufeld, Ulrich Eckhard, Trevor C. Charles, Andrew C. Doxey

“…ABSTRACT The marine bacterium, Pseudoalteromonas tunicata, is a useful model for studying biofilm development due to its ability to colonize and form biofilms on a variety of marine and eukaryotic host-associated surfaces. …”
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Application of Medical Images for Melanoma Detection Using a Multi‐Architecture Convolutional Neural Network From a Deep Learning Approach by Justice Williams Asare, Emmanuel Akwah Kyei, Seth Alornyo, Emmanuel Freeman, Martin Mabeifam Ujakpa, William Leslie Brown‐Acquaye, Alfred Coleman, Forgor Lempogo

“…The cascading combination technique was then utilized to develop a multi‐architecture model. With the cascading multi‐architecture technique, we combined all the layers (multiple layers) output of the models and processed them (the output of the multiple layers) in a structured pipeline, which improves upon the previous output. …”
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Requirements for Becoming a Startup: A Study with an Economic Sociology Approach (Case Study: Managers of Startups in Isfahan City) by Rahmatollah Torkan, Seyed Samad Beheshty, Ramin Moradi

“…Without the presence and mutual interaction of these elements at various layers of business, the process of establishing a startup might be hindered or indefinitely delayed.…”
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Superfluid Spin-up: Three-dimensional Simulations of Post-glitch Dynamics in Neutron Star Cores by J. R. Fuentes, Vanessa Graber

“…However, as we move deeper into the sphere, the superfluid accelerates on different timescales due to the slow viscous spin-up of the internal normal fluid layers. We discuss potential implications for neutron stars, and requirements for future work to build more realistic models.…”
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Study on the Disturbed Mechanical Behavior and Energy Evolution Characteristics of Deep Roof Rock Considering Spatio-Temporal Effects by WANG man, ZHANG Yang, XIE Jing, NIU Zehua, DENG Huchao, YANG Bengao, ZHAO Lijuan, D ING Xiaogang, GAO Mingzhong

“…This model generalizes the disturbance stress path generated by the multi-working face mining of coal seam group in the longitudinal dimension as a cyclic loading and unloading process, the increase of the disturbance stress concentration factor caused by the reduction of the distance between the coal seams is reflected in the stress path as the increase of the peak stress of cyclic loading and unloading. …”
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Riverbed Surface Settlement Patterns Induced by Pipe Jacking Construction in River-Crossing Sections by SHENG Song-tao, AN Zi-yue, ZHOU Hong-yun, LIU Jie

“…Considering soil elastoplasticity, the grouting layer, and hydrostatic pressure boundary conditions, this model simulated stress redistribution and surface deformation during the pipe jacking process. …”
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Spike-RISC: Algorithm/ISA Co-Optimization for Efficient SNNs on RISC-V by Ipek Akdeniz, Sandy A. Wasif, Paul R. Genssler, Hussam Amrouch

“…The sparsity-aware vector unit processes the fully connected layers avoiding unnecessary computations. …”
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Novel Neural Networks for Camera Calibration in Underwater Environments by Cristian H. Sanchez-Saquin, Leonardo Barriga-Rodriguez, Leonardo A. Baldenegro-Perez, Guillermo Ronquillo-Lomeli, Noe A. Rodriguez-Olivares

“…Two modified neural network architectures, ZCalibAquaNet and BCalibAquaNet, were developed for calibration matrix estimation from chessboard images in underwater environments. The process began with the training of the InceptionResNetV2 neural network from scratch, followed by the adjustment of the dense layers for regression and calibration matrix estimation. …”
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A global view on microphysical discriminations between heavier and lighter convective rainfall by Ruizi Shi, Chunsong Lu, Weixin Xu, Yali Luo

“…Results suggest that the near-surface rain rates are dictated mainly by liquid-phase processes, but the more extreme rainfall is mostly produced by vigorous mixed-phase processes combined with a rough balance between breakup and coalescence of liquid drops. …”
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Qseek: A data-driven Framework for Automated Earthquake Detection, Localization and Characterization by Marius Isken, Sebastian Heimann, Peter Niemz, Jannes Münchmeyer, Simone Cesca, Hannes Vasyura-Bathke, Torsten Dahm

“…We present a user-friendly and high-performance open-source software framework based on established frameworks, featuring event detection in layered 1D and complex 3D velocity models and event feature extraction capabilities, such as moment and local magnitude calculation from peak ground motions. …”
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Artificial Intelligence for Wireless Communications: The InSecTT Perspective by Ramiro Samano Robles, Gowhar Javanmardi, Christoph Pilz, Przemyslaw Kwapisiewicz, Mateusz Rzymowski, Lukasz Kulas, Luca Davoli, Laura Belli, Gianluigi Ferrari, Bernd-Ludwig Wenning, Bugra Gonca, R. Venkatesha Prasad, Ashutosh Simha, Markku Kiviranta, Ilkka Moilanen, Sean Robinson, Gennaro Cirillo, Mujdat Soyturk, Yavuz Selim Bostanci, Leander B. Hormann

“…The framework consists of multiple stages based on the processing of UC/BB requirements (RQs). These stages include collection, harmonization, refinement, classification, architecture alignment, and functionality modeling of RQs. …”
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Coseismic slip distribution and 3D deformation field simulation of the Menyuan Mw 6.7 earthquake in Qinghai based on InSAR constraint by Rui ZENG, Yanan JIANG, Aoxiang YAN, Yan Cheng, Huiyuan LUO

“…To better understand the seismic deformation patterns, this study employs anelastic dislocation model and a viscoelastic half-space layered medium model to simulate the three-dimensional coseismic surface deformation, incorporating more accurate three-dimensional deformation from crustal layered models. …”
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Design optimization platform for assistive wearable devices applied to a knee damper exoskeleton by Asghar Mahmoudi, Stephan Rinderknecht, Andre Seyfarth, Maziar A. Sharbafi

“…Predictive simulation, which models movement without relying on experimental data, provides a powerful tool for anticipating the effects of assistive devices on the human body and guiding the design process. …”
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Intelligent Control of Smooth Blasting Quality in Rock Tunnels Using BP-ANN, ENN, and ANFIS by Baoping Zou, Jianxiu Wang, Zhanyou Luo, Lisheng Hu

“…The following are the conclusions of this study: (1) This paper presented a method of constructing a tunnel smooth blasting quality control index system and established this system with seven criteria layers, namely, geological conditions, explosive properties, borehole parameters, charge parameters, method of initiation, tunnel parameters, and construction factors, as well as a total of nine indexes. (2) The comprehensive optimization control model of BP-ANN, ANFIS, and ENN for tunnel smooth blasting quality was established. (3) The uniform design method was used to optimize the blasting parameters of the tunnel section, which needs to be controlled, and verify that the construction of these comprehensive optimization control models can change the focus of tunnel smooth blasting quality control from the traditional single index control method into a dynamic, intelligent, pluralistic, and integrated control technology.…”
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PROBLEMS OF USING NEURAL NETWORKS TO PREDICT THE PRICE OF VIRTUAL ASSETS by Andrii Tsemko, Maxym Matskiv

“…A neural network with bidirectional LSTM layers was trained on 10 previous values to predict one subsequent value. …”
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