Dispersive X-ray absorption spectroscopy using independent grazing-incidence focusing and convexly bent Bragg-crystal dispersing optics by Juanjuan Huang, Adam P. Tornheim, Xianbo Shi, Mark Wolfman, Yanna Chen, Steve M. Heald, Shelly D. Kelly, George E. Sterbinsky

“…The use of separate optics for X-ray focusing and energy dispersion provides high spatial resolution and avoids chromatic aberrations inherent in focusing bent-crystal optics, and a modular design makes implementation of the technique at other beamlines possible without requiring modifications to the upstream beamline configurations. Theoretical calculations are performed to determine optimal instrument operating parameters and demonstrate that an energy resolution better than the K-edge core-hole lifetime broadening can be maintained while providing a sufficient bandwidth for X-ray absorption near-edge structure spectroscopy through the full operating range of 5–11 keV. …”
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Derivation and Experimental Validation of a Parameterized Nonlinear Froude–Krylov Force Model for Heaving-Point-Absorber Wave Energy Converters by Houssein Yassin, Tania Demonte Gonzalez, Gordon Parker, Giorgio Bacelli, Carlos Michelen

“…Wave energy converters (WECs) have gained significant attention as a promising renewable energy source. Optimal control strategies, crucial for maximizing energy extraction, have traditionally relied on linear models based on small motion assumptions. …”
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Modeling and design of compact, permanent-magnet transport systems for highly divergent, broad energy spread laser-driven proton beams by J. De Chant, K. Nakamura, Q. Ji, L. Obst-Huebl, S. Barber, A. M. Snijders, C. G. R. Geddes, J. van Tilborg, A. J. Gonsalves, C. B. Schroeder, E. Esarey

“…We also examine the ability of certain configurations to tune and select beam energies, critical for specific applications. …”
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Implementation of a Neural Network for Adaptive PID Tuning in a High-Temperature Thermal System by Juan Carlos Almachi, Ramiro Vicente, Edwin Bone, Jessica Montenegro, Edgar Cando, Salvatore Reina

“…A dataset of 9702 samples was built from eight fixed PID configurations tested under a multi-ramp thermal profile. …”
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Simulation study on enhanced heat transfer of annular inner rib tube in geothermal coaxial heat transfer wellbore by Longfei Dong, Yanping Xin, Xiao Wu, Rui Zhang

“…As a clean and renewable energy source, geothermal energy offers several advantages, including high reserves, safety, and stability. …”
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Intelligent deep learning for human activity recognition in individuals with disabilities using sensor based IoT and edge cloud continuum by Mohammed Maray

“…However, the massive number of activity constellations and sensor configurations make the HAR problem challenging to solve deterministically. …”
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AI-augmented pathology: the experience of transfer learning and intra-domain data diversity in breast cancer metastasis detection by Manuel Cossio, Nina Wiedemann, Esther Sanfeliu Torres, Esther Barnadas Sole, Laura Igual

“…Our experiments demonstrated that integrating an external dataset (Camelyon16) during training significantly improved model performance, surpassing the benefits of data augmentation alone. The optimal model, trained on both external and local data, achieved an accuracy and F1-score of 0.98, outperforming existing state-of-the-art methods.ConclusionsThis study demonstrates that transfer learning architectures, when enhanced with multi-source data integration and interpretability frameworks, can significantly improve metastatic detection in whole slide imaging. …”
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Water erosion and its mitigation in sloped black soil farmlands in Northeastern China: A review by SHEN Haiou, REN Ming, WEN Leilei, LIANG Yushi, LIU Yang

“…Critical issues in implementing these technologies include a detailed understanding of their underlying mechanisms, effectiveness, optimal configurations, and selection for different regions. …”
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Viability Study of SYCL as a Unified Programming Model for Heterogeneous Systems Based on GPUs in Bioinformatics by Manuel Costanzo

“…The results obtained demonstrated performance comparable to CUDA in most configurations, confirming the effectiveness of SYCL. …”
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Raw-Data Driven Functional Data Analysis with Multi-Adaptive Functional Neural Networks for Ergonomic Risk Classification Using Facial and Bio-Signal Time-Series Data by Suyeon Kim, Afrooz Shakeri, Seyed Shayan Darabi, Eunsik Kim, Kyongwon Kim

“…Classifying such data presents inherent challenges due to multi-source information, temporal dynamics, and class imbalance. …”
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Label-Free Biomolecule Detection With InP/AlGaAs Charge Plasma Dielectric-Modulated Vertical TFET Using TaN as Metal Gate by Hashim Elshafie, Abdulrahman Saad Alqahtani, Azath Mubarakali, Adarsh Rag S, M. Venkatesh, P. Parthasarathy

“…The overlap between the source and pocket regions, along with the introduction of an auxiliary gate, optimizes the electrical characteristics. …”
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Impact of Passive Modifications on the Efficiency of Darrieus Vertical Axis Wind Turbines Utilizing the Kline-Fogleman Blade Design at the Trailing Edge by Farzad Ghafoorian, Hui Wan

“…As the utilization of wind energy continues to expand as a prominent renewable energy source, the application of Darrieus Vertical Axis Wind Turbine (VAWT) technology has expanded significantly. …”
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Driving Forces and Future Scenario Simulation of Urban Agglomeration Expansion in China: A Case Study of the Pearl River Delta Urban Agglomeration by Zeduo Zou, Xiuyan Zhao, Shuyuan Liu, Chunshan Zhou

“…The remote sensing monitoring of land use changes and future scenario simulation hold crucial significance for accurately characterizing urban expansion patterns, optimizing urban land use configurations, and thereby promoting coordinated regional development. …”
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Recommendations on benchmarks for numerical air quality model applications in China – Part 2: Ozone and uncertainty analysis by L. Huang, X. Zhang, C. Emery, Q. Mu, G. Yarwood, H. Zhai, Z. Sun, S. Xue, Y. Wang, J. S. Fu, L. Li

“…A total of 216 relevant articles out of a total of 667 reviewed were identified to extract quantitative MPE results and key model configurations. From our analysis, two sets of benchmark values for six commonly used MPE metrics are proposed for CTM applications in China, categorized into “goal” benchmarks representing optimal model performance and “criteria” benchmarks representing achievable model performance across a majority of studies. …”
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