Recovering 3D Basin Basement Relief Using High-Precision Magnetic Data Through Particle Swarm Optimization and Back Propagation Algorithm by Shen Yan, Xinjun Zhang, Zhongda Shang, Kai Wang, Yixin Ma

“…Application to magnetic survey data in the Datong Basin resulted in a reliable basin-based model that matched known structural information, thereby opening a new direction for magnetic interface inversion research.…”
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Reliable, efficient, and scalable photonic inverse design empowered by physics-inspired deep learning by Shao Guocheng, Zhou Tiankuang, Yan Tao, Guo Yanchen, Zhao Yun, Huang Ruqi, Fang Lu

“…EMNN increases the design speed by 17,000 times than that of the analytical model and reduces the modeling error by two orders of magnitude compared to the numerical model. …”
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Effect of Scalp Hair Follicles on NIRS Quantification by Monte Carlo Simulation and Visible Chinese Human Dataset by Xiang Fang, Boan Pan, Weichao Liu, Zhiyuan Wang, Ting Li

“…Here we have incorporated the Monte Carlo modeling for light transport in voxelized media, and visible Chinese human with high precision in depicting three-dimensional human anatomical structures, to study the effect of SHF density on NIRS quantification. …”
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Physical-Abstract Bidirectional-Guided Learning for High-Resolution Radar Target Recognition by Yuying Zhu, Yinan Zhao, Zhaoting Liu, Meilin He

“…The core innovation lies in modeling this process as a bidirectional integration, enabling simultaneous parameter estimations of scattering center based physical models and mapping abstract representation to local scattering structures of targets. …”
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Advanced skin cancer prediction with medical image data using MobileNetV2 deep learning and optimized techniques by Tuğçe Öznacar, Nuray Varol Kayapunar

“…The Grad-CAM heatmap highlighted the regions of interest in the lesions, showing how the model focused on key structural features. The Superimposed Image combined these heatmaps with the original lesion images, making it clear which parts of the lesions influenced the model’s classification. …”
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The moments of the spectral form factor in SYK by Andrea Legramandi, Neil Talwar

“…Abstract In chaotic quantum systems the spectral form factor exhibits a universal linear ramp and plateau structure with superimposed erratic oscillations. The mean signal and the statistics of the noise can be probed by the moments of the spectral form factor, also known as higher-point spectral form factors. …”
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Emergent patterns of patchiness differ between physical and planktonic properties in the ocean by Patrick Clifton Gray, Emmanuel Boss, Guillaume Bourdin, Mission Microbiomes AtlantECO, Tara Pacific Consortium, Yoav Lehahn

“…These results provide context for decades of observations with different interpretations, suggest the use of spatial tests of biogeochemical model parameterizations, and open the way for studies into processes regulating the observed patterns.…”
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Predicting visual field global and local parameters from OCT measurements using explainable machine learning by Md Mahmudul Hasan, Jack Phu, Henrietta Wang, Arcot Sowmya, Erik Meijering, Michael Kalloniatis

“…Introducing the pointwise normalisation and step-size concept, a mean absolute error of 2.51 dB was obtained in pointwise sensitivity prediction, and the grayscale prediction model yielded a mean structural similarity index of 77%. …”
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Domain-informed CNN architectures for downscaling regional wind forecasts by Alexander M. Campbell, Simon C. Warder, B. Bhaskaran, Matthew D. Piggott

“…Generating high-resolution regional wind forecasts currently requires compute-intensive numerical models to downscale from a global forecast. Black-box AI models, once trained, can produce results in a fraction of the time and cost; however, they tend to produce smoothed outputs, are not interpretable and generalise poorly. …”
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Research on Intelligent Recognition Method of Ground Penetrating Radar Images Based on SAHI by Ruimin Chen, Ligang Cao, Congde Lu, Lei Liu

“…Firstly, for the problem of insufficient samples of GPR images with structural loose distresses, data augmentation is carried out based on deep convolutional generative adversarial networks (DCGAN). …”
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Geometry-enhanced graph neural networks accelerate circRNA therapeutic target discovery by Zhen Li, Mingming Qi, Juyuan Huang, Wei Zhang, Xu Tan, Yifan Chen

“…This design promotes a richer understanding of local topological structures, thereby improving the robustness and expressiveness of learned circRNA and drug representations. …”
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Coupling responsible consumption and sustainable production using consumers’ green purchase behaviour by M.S. Narassima, Thenarasu Mohanavelu, Olivia McDermott, G. Harssheny, S.V. Shruthi, T. Suraj

“…The research employs a mixed-methods approach involving the development of a hierarchical model using Interpretive Structural Modelling (ISM), followed by MICMAC to cluster the variables based on their levels of importance and Confirmatory Factor Analysis (CFA) for validation. …”
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The role of nature-conformity presentation of data in the creation of an information system for the management of science and education by Sergey A. Saltykov, Elena Yu. Rusyaeva

“…The role of nature-conformity in the expansion interpretation for the presentation of open data in the creation of an information system for the management of science and education is determined. …”
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Genetic implication of GABAB receptors in the etiology of neurological and psychiatric disorders by Martin Gassmann, Michal Stawarski, Stylianos E. Antonarakis, Stylianos E. Antonarakis, Bernhard Bettler

“…Functional characterization of such variants in recombinant assay systems has revealed both gain-of-function (GOF) and loss-of-function (LOF) mutations, which can now be interpreted in the context of high-resolution structural models of GBR activation. …”
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Todim-Based Complex Spherical Fuzzy VIKOR Method for Evaluating the Optimal Band Interval for Classification of Cashmere and Wool Fibers in near-Infrared Spectroscopy by Xinlong Li, Yuhong Du, Ziqi Rong, Shuaijie Zhao

“…To improve the classification of high-value fibers such as cashmere and wool, which exhibit highly similar structural characteristics, this study proposes a novel multi-attribute group decision-making (MAGDM) framework based on complex spherical fuzzy sets. …”
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A New Optimization Approach Based on Bipolar Type-2 Fuzzy Soft Sets by Kholood M. Alsager, Sumaiah A. Alfahhad

“…First, we keenly provide the formal structure of both proposed models along with the deep exploration of their elementary properties. …”
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War – Writer – Text: Discursive Features (on the Material of Oksana Zabuzhko’s Essays) by Svitlana Kuranova

“…The sense structure of the corresponding respective texts was scrutinized. …”
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Validity Study on the Students’ Attitudes Toward Mathematics Scale for English-Speaking Countries by Hun Won Choi, Youn-Jeng Choi

“…The scale has been reported as having a three-factor structure for decades, but this study assumes the validity can appear differently depending on the country or culture. …”
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Non-ergodic dissociative valence double ionization of SF6 by Emelie Olsson, Veronica Daver Ideböhn, Måns Wallner, Richard J. Squibb, John H. D. Eland, Ewa Erdmann, Raimund Feifel

“…Abstract The dissociative double ionization of sulphur hexafluoride, SF6, in the ionization energy range from threshold up to 48.4 eV has been examined in detail using a multiple coincidence electron-ion technique. The results are interpreted by comparison with molecular dynamics simulations, high level molecular structure calculations and with a statistical model of the ion breakdown. …”
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A bibliometric review exploring the nexus between sustainability and food entrepreneurship by M. Ajay Adithya, R. Geetha, S. Sundar

“…The paper offers actionable insights for researchers, practitioners, and policymakers by uncovering structural gaps, innovation hotspots, and collaborative opportunities. …”
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