Analysis of GPR Wave Propagation Using CUDA-Implemented Conformal Symplectic Partitioned Runge-Kutta Method by Hongyuan Fang, Jianwei Lei, Man Yang, Ziwei Li

“…For forward modeling of large sizes and fine structures, numerical accuracy and computational efficiency are not high, due to the stability conditions and the dense grid number. …”
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Windows Malware Detection via Enhanced Graph Representations with Node2Vec and Graph Attention Network by Nisa Vuran Sarı, Mehmet Acı, Çiğdem İnan Acı

“…This work presents a novel framework integrating API call sequences and DLL information into a unified, graph-based representation to analyze malware behavior comprehensively. The proposed model generates initial embeddings using Node2Vec, which uses a random walk approach to understand structural relationships between nodes. …”
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Role of homeostatic plasticity in critical brain dynamics following focal stroke lesions by Rodrigo P. Rocha, Marco Zorzi, Maurizio Corbetta

“…The loss of criticality in a cohort of stroke patients was associated with structural brain disconnections, while its recovery was accompanied by the re-modeling of specific white-matter tracts. …”
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Integrating Internal Control and User Competence: Enriching Accounting Information System Quality by Rapina Rapina, Nurul Intawaty Permata Mustamin

“…To analyze this relationship of user competency, internal controls and AIS quality a research methodology for the investigation into Partial Least Square-Structural Equation Modeling (PLS-SEM) is adopted. …”
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Personality typology, emotional needs, and romantic relationship stability in Chinese college students: A cultural perspective on MBTI dynamics by Jiaxin Li, Gu Fang, Yiyang Li

“…Emotional needs were positively correlated with emotional support, which in turn predicted relationship stability. Structural equation modeling further indicated that gender and personality interactions influence emotional stability, with distinct patterns observed among NT, SJ, and SP types. …”
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Numerate people are less likely to be biased by regular science reporting: the critical roles of scientific reasoning and causal misunderstanding by Olivia D. Perrin, Jinhyo Cho, Edward T. Cokely, Jinan N. Allan, Adam Feltz, Rocio Garcia-Retamero

“…In Study 1 (n = 200), structural equation modeling indicated that more numerate people were less likely to exhibit judgment biases because they were better at scientific reasoning, which helped them avoid causal misinterpretations. …”
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Understanding COVID-19 booster information seeking in a collectivist context: the roles of social expectations, trust in experts, and uncertainty by Xiaoshan Austin Li, Katharine Hubbard, Jooyun Hwang

“…Structural equation modeling (SEM) examined hypothesized relationships among perceived advantages and disadvantages, affective responses, lack of information, trust in the expertise of others, uncertainty, perceived control over behavior, and social norms.ResultsInformational subjective norms were the most significant predictor of intentions to seek information, indicating the influence of collectivist expectations on individual action. …”
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A novel hesitant fuzzy tensor-based group decision-making approach with application to heterogeneous wireless network evaluation by Muhammad Bilal, Ioan Lucian-Popa

“…The proposed HFT framework captures hesitation more effectively by organizing hesitant fuzzy data within tensorial structures, enabling more comprehensive analysis in group decision-making scenarios. …”
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Bayesian inversion for the crustal anisotropy of the Taiwan foreland basin: syn- and pre-orogenic deformation by Cheng-Chien Peng, Ban-Yuan Kuo, Ting-Li Chen, Kenn-Ming Yang

“…We interpret the upper-layer anisotropy as stress-induced caused by the plate convergence and the lower-layer anisotropy as structure-induced associated with faults inherited from past rifting of the continental margin. …”
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Brosimine B and the biphasic dose-response: insights into hormesis and retinal neuroprotection by Susanne Suely Santos Fonseca, Susanne Suely Santos Fonseca, Natacha M. S. Port’s, Gisele Priscila Soares Aguiar, Eliã P. Botelho, Nádia M. G. Couto, Wandson Braamcamp Souza Pinheiro, André Salim Khayat, Elizabeth S. Yamada, Edmar T. Costa, Chubert Bernardo C. Sena, Mara Silvia P. Arruda, Carlomagno P. Bahia, Antonio Pereira

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Vicinal combination of N—NH2 and C—NO2 benefitting for low sensitivity and high energy azole molecules: A strategy developed from isomerization by Yao-yao Linghu, Chao-yang Zhang

“…It is nowadays challenging to create low sensitivity and high energy molecules (LSHEMs), largely restricted by the high complexity and difficult interpretation of composition-structure-property relationships of energetic materials. …”
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Integrated geophysical prospecting for deep ore detection in the Yongxin gold mining area, Heilongjiang, China by Yechang Yin, Jun Chen, Zhonghai Zhao, Yuanjiang Yang, Chenglu Li, Haina Li, Xiang Zhao

“…The inversion and interpretation of cross-sectional AMT data provided insights into the subsurface structure down to a depth of 1.5 km. …”
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EVALUATING CAUSES OF ROAD FAILURE ALONG KM 5, ADO-IKERE-EKITI ROAD, SOUTHWESTERN NIGERIA by Ajayi, C. A., Abdu-Raheem, Y. A., Talabi, A. O., Ilugbo S.O.

“…The 2-D subsurface resistivity structures of the failed portion of the road were obtained by processing and interpreting the data obtained from the ERT quantitatively employing the inverse modeling with DIPRO for Windows software. …”
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Tropical Cyclones Across Global Basins: Dynamics, Tracking Algorithms, Forecasting, and Emerging Scientometric Research Trends by Vivek Singh, Gaurav Tiwari, Amarendra Singh, Rajeeb Samanta, Atul Kumar Srivastava, Deewan Singh Bisht, Ashish Routray, Sushil Kumar, Shivaji Singh Patel, Abhishek Lodh

“…While these AI/ML‐based TC prediction models show promise, challenges remain in scalability, interpretability, and integration into forecasting workflows. …”
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Improved estimation of two-phase capillary pressure with nuclear magnetic resonance measurements via machine learning by Oriyomi Raheem, Misael M. Morales, Wen Pan, Carlos Torres-Verdín

“…By predicting vector functions from vector input features, we effectively reduced prediction errors. This interpretation workflow can be used to construct representative classification models and estimate capillary pressure across a wide saturation range.…”
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CHARACTERISTIC FEATURES OF PARATEXTS IN UKRAINIAN TRANSLATIONS OF THE HOLY SCRIPTURES by Oksana V. Dzera

“…The objective of developing a classification of paratexts in Bible translations within historical, theoretical, and critical contexts is accomplished via the methods of analysis, synthesis, induction, and modelling. The interpretive textual and cultural analysis methods are applied to identify and explain cultural, national, and religiously determined connotations of the paratexts. …”
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Applications of density functional theory and machine learning in nanomaterials: A review by Nangamso Nathaniel Nyangiwe

“…The review concludes by discussing key advancements, such as those of machine learning interatomic potentials, graph-based models for structure property mapping and generative AI for materials design.…”
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Impact of Temporal Resolution on Autocorrelative Features of Cerebral Physiology from Invasive and Non-Invasive Sensors in Acute Traumatic Neural Injury: Insights from the CAHR-TBI... by Nuray Vakitbilir, Rahul Raj, Donald E. G. Griesdale, Mypinder Sekhon, Francis Bernard, Clare Gallagher, Eric P. Thelin, Logan Froese, Kevin Y. Stein, Andreas H. Kramer, Marcel J. H. Aries, Frederick A. Zeiler

“…Variations in optimal structures across signals and patients highlight the importance of tailoring ARIMA models for precise interpretation and performance. …”
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Improving synergistic drug combination prediction with signature-based gene expression features in oncology by Mozhgan Mozaffarilegha, Sajjad Gharaghani

“…We compared their performance with that of conventional drug signatures and chemical structure-based descriptors.Results:Our results demonstrate that models incorporating DRS features consistently outperform traditional approaches across all evaluated algorithms. …”
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Evidence of High-Shear-Velocity Anomalies Inside the Pacific LLSVP by Rafael Abreu, Mariano S. Arnaiz-Rodríguez, Chahana Nagesh

“…Our findings highlight the thermochemical heterogeneity of the LLSVP, revealing a more complex internal structure than previously thought. The application of the VRA is able to resolve fine-scale structures that have remained as some of the biggest challenges in global tomographic models.…”
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