Study on the Compressive Strength Predicting of Steel Fiber Reinforced Concrete Based on an Interpretable Deep Learning Method by Huiming Wang, Jie Lin, Shengpin Guo

“…The SHAP analysis results are consistent with the experimental results, and the predictive model well reflects the complex nonlinear relationship between various characteristic parameters, which can provide a basis and reference for the engineering design of SFRC materials.…”
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Enhancing Mirror and Glass Detection in Multimodal Images Based on Mathematical and Physical Methods by Jiyuan Qiu, Chen Jiang

“…Current research primarily relies on complex network models that learn and fuse different modalities of images, such as RGB, depth, and thermal, to achieve mirror and glass detection. …”
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Using student conferences as a form of authentic assessment to develop and enhance transferable communication skills in quantitative and data-driven disciplines: Evidence from a po... by Sharon Greenwood

“…In turn, workforces are looking for graduates to be well versed in working effectively with data, with the skills needed to work both efficiently and creatively within data-driven environments. …”
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Wind energy resource assessment based on joint wolf pack intelligent optimization algorithm. by Jiayuan Wang

“…And the research method can effectively evaluate the status of wind energy resources, with low time complexity at different data scales, taking no more than 5 seconds, and improving operational efficiency. …”
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Improved Dynamic Correction for Seismic Data Processing: Mitigating the Stretch Effect in NMO Correction by Pedro Cortes-Guerrero, Carlos Ortiz-Alemán, Jaime Urrutia-Fucugauchi, Sebastian Lopez-Juarez, Mauricio Gabriel Orozco-del Castillo, Mauricio Nava-Flores

“…These improvements have substantial implications for high-resolution subsurface imaging and precise reservoir characterization.This work offers a robust and computationally efficient solution to a longstanding limitation in seismic processing, advancing the reliability of exploration in geologically complex environments.…”
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QPPLab: A generally applicable software package for detecting, analyzing, and visualizing large-scale quasiperiodic spatiotemporal patterns (QPPs) of brain activity by Nan Xu, Behnaz Yousefi, Nmachi Anumba, Theodore J. LaGrow, Xiaodi Zhang, Shella Keilholz

“…Quasi-periodic patterns (QPPs) are prominent spatiotemporal brain dynamics observed in functional neuroimaging data, reflecting the alternation of high and low activity across brain regions and their propagation along cortical gradients. …”
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The Architecture and Key Technologies of Fault Inversion System for Hybrid UHV AC/DC Power Grid by Bing WANG, Yupei JIA, Jianfeng YAN, Yiding JIN

“…The security and stability problems of power grid have become increasingly prominent for the complexity and fragility of large-scale hybrid AC/DC. …”
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Crochet increases attention through a requiring motor skill learning by Davide Rossi Sebastiano, Cristina Muscio, Dunja Duran, Deborah Bonfoco, Sara Dotta, Paola Anversa, Elisa Pellencin, Pietro Tiraboschi, Elisa Visani

“…Finally, we discuss the hypothesis that these results could be the reinforcement of connections between motor and attentional networks promoted by learning the complex motor skills of crochet.…”
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Source Term Estimation for Puff Releases Using Machine Learning: A Case Study by John Bartzis, Spyros Andronopoulos, Ioannis Sakellaris

“…Puff movement is highly stochastic due to atmospheric turbulence, intensified by complex urban canopies. This complexity, combined with time limitations, makes advanced computational modeling impractical. …”
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Towards a Modern Leadership: Sustainable Development-Oriented Management by Mihaela Simionescu, Cristinel Vasiliu, Corina-Georgiana Șerban (Pătrîntaș), Andreea-Nicoleta Bichel, Oana Simona Hudea

“…Furthermore, the implications regarding the promotion of good practices in sustainability, among both managers and employees, are identified, taking into consideration the dynamic rhythm of the business environment and the ever-complex sustainability-related requirements …”
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Expired Dexon Drug as Green Inhibitor for Carbon Steel in Simulated Seawater Medium by Shams Naji, Rana Anaee, Sadeer Majeed

“…The polarization resistances and inhibition efficiencies reached the highest value of (25.86×10-3 Ω.cm2) and (95.57%) respectively for 60 mL/L at 303 K. …”
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The Effect of Salinity on Heavy Metal Tolerance in Two Energy Willow Varieties by Kinga Drzewiecka, Zuzanna Kaźmierczak, Magdalena Woźniak, Michał Rybak

“…<i>S. × smithiana</i> exhibited enhanced growth under combined metal and salinity stress, suggesting efficient tolerance mechanisms. This was reflected in elevated relative water content (RWC) and increased accumulation of Zn and Cd in shoots. …”
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A Configurable Intrinsic Curiosity Module for a Testbed for Developing Intelligent Swarm UAVs by Jawad Mahmood, Muhammad Adil Raja, John Loane, Fergal McCaffery

“…Experimental results demonstrate that the tracking UAVs can effectively coordinate and maintain precise paths even under complex conditions.…”
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Ensemble Forecasts of Solar Wind Connectivity to 1 Rs Using ADAPT‐WSA by D. E. daSilva, S. Wallace, C. N. Arge, S. Jones

“…Our method produces an arbitrary 2D probability distribution capable of reflecting complex source configurations with minimal assumptions about the distribution structure, prepared in a computationally efficient manner.…”
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A Passive Radar System for Monitoring of Coastal Areas Ship Traffic Using Satellite Illumination Signals by Nguyen Van Quan

“…During development and implementation of the systems, there are a number of problems related to the search of highly efficient processing algorithms, to the optimization of structure and functioning modes when the system is a part of a complex multi-position monitoring system in coastal areas. …”
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Association between dyslipidemia and glycated hemoglobin in diabetic patients from Zakho General Hospital, Iraq by Lina N. Adam

“…Abstract Background Diabetes mellitus (DM) is a global health challenge, requiring efficient management strategies. Monitoring biochemical markers such as lipid profiles and glycated hemoglobin (HbA1c) is critical in assessing disease progression and guiding treatment. …”
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Grid-Connected Harmonic Suppression Strategy Considering Phase-Locked Loop Phase-Locking Error Under Asymmetrical Faults by Yanjiu Zhang, Shuxin Tian

“…The significance of this research is reflected in the improved power quality of offshore wind power grid integration, the provision of technical solutions supporting efficient clean energy utilization in alignment with “Dual Carbon” objectives, and the introduction of innovative approaches to harmonic suppression in complex grid environments. …”
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Numerical Analysis of the Characteristic Chemical Timescale of a C₂H₄/O₂ Non-Premixed Rotating Detonation Engine by Mohammed Niyasdeen Nejaamtheen, Bu-Kyeng Sung, Jeong-Yeol Choi

“…Overall, the induction timescale is generally 2–3 times longer than its respective chemical reaction timescale, while the equilibrium timescale spans a broad range, reflecting the complex, rapid dynamics inherent in these chemical processes. …”
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Adaptive Congestion Detection and Traffic Control in Software-Defined Networks via Data-Driven Multi-Agent Reinforcement Learning by Kaoutar Boussaoud, Abdeslam En-Nouaary, Meryeme Ayache

“…Efficient congestion management in Software-Defined Networks (SDNs) remains a significant challenge due to dynamic traffic patterns and complex topologies. …”
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Heating Load Prediction with Meta-Heuristic ‎Algorithms and Adaptive Neuro-Fuzzy ‎Inference System Integration by Seyed Hadi Seyed Hatami, Reza Seifi Majdar

“…Heating load systems present a complex landscape where energy optimization challenges require in-depth investigation and innovative problem-solving. …”
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