Linear Perturbations of the Bloch Type of Space-Periodic Magnetohydrodynamic Steady States. II. Numerical Results by Chertovskih R, Zheligovsky V

“…Computations have revealed that the Bloch modes, whose growth rates are maximum over q, feature the scale ratio that decreases on increasing the nondimensionalized molecular diffusivity and/or viscosity from 0.03 to 0.3, and the scale separation is high (i.e., |q| is small) only for large molecular diffusivities. …”
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Heterogeneity of Ecosystem Service Interactions Through Scale Effects and Time Effects and Their Social-Ecological Determinants in the Tuo River Basin by Simin He, Yusong Xie, Jing Zhang, Yanyun Luo, Qianna Wang

“…Currently, a major challenge lies in precisely evaluating trade-offs and synergies among ESs across different spatial and temporal scales, particularly in capturing their dynamic evolution and determinants. This study focuses on the Tuo River Basin in China, quantifying four key ESs, namely, habitat quality (HQ), nitrogen export (NE), soil conservation (SC), and water yield (WY), and assessing their interactions from 2000 to 2020 at both grid and county scales. …”
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Transformation of the Regional Policy of Russia and China under the Conditions of Unequal Development of Regions (1980-2020): a Comparative Historical Study by S. B. Makeeva

“…The purpose of this article is a comparative and consideration of the evolution of the regional policy of Russia and China in the context of the increasing unevenness and disproportionality of the internal regional development of the two countries in the modern period of history. …”
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Prediction of Highway Tunnel Pavement Performance Based on Digital Twin and Multiple Time Series Stacking by Gang Yu, Shuang Zhang, Min Hu, Y. Ken Wang

“…This paper (1) establishes an MTSS prediction model with heterogeneous stacking of eXtreme gradient boosting (XGBoost), the artificial neural network (ANN), random forest (RF), ridge regression, and support vector regression (SVR) component learners after exploratory data analysis (EDA); (2) proposes a method based on multiple time series feature extraction to accurately predict the pavement performance change trend, using the highway segment as the minimum computing unit and considering multiple factors; (3) uses grid search with the k-fold cross validation method to optimize hyperparameters to ensure the robustness, stability, and generalization ability of the prediction model; and (4) constructs a digital twin for pavement performance prediction to realize the real-time dynamic evolution of prediction. …”
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Temporal Community Detection and Analysis with Network Embeddings by Limengzi Yuan, Xuanming Zhang, Yuxian Ke, Zhexuan Lu, Xiaoming Li, Changzheng Liu

“…Our method innovatively integrates community structure into network embedding, preserving both microscopic details and community-level information in node representations while effectively capturing the evolutionary dynamics of networks. A distinctive feature of TCDA-NE is its utilization of a common-neighbor similarity matrix, which significantly enhances the algorithm’s ability to identify meaningful community structures in temporal networks. …”
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Identification of Inequities in Green Visibility and Ways to Increase Greenery in Neighborhoods: A Case Study of Wuhan, China by Xiaohua Guo, Chang Liu, Shibo Bi, Yuling Tang

“…However, the long-term spatio-temporal evolution of green visibility and equity remains underexplored. …”
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Sub-telomere directed gene expression during initiation of invasive aspergillosis. by Andrew McDonagh, Natalie D Fedorova, Jonathan Crabtree, Yan Yu, Stanley Kim, Dan Chen, Omar Loss, Timothy Cairns, Gustavo Goldman, Darius Armstrong-James, Ken Haynes, Hubertus Haas, Markus Schrettl, Gregory May, William C Nierman, Elaine Bignell

“…This first transcriptional snapshot of a fungal genome during initiation of mammalian infection provides the global perspective required to direct much-needed diagnostic and therapeutic strategies and reveals genome organisation and subtelomeric diversity as potential driving forces in the evolution of pathogenicity in the genus Aspergillus.…”
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Developing Explainable Artificial Intelligence Models for Space Science Applications by Ambuj Kumar Agarwal, Rajat Bhardwaj, Gyanendra Tiwary, Abeer A. Aljohani, Ruchi Kawatra, Abhijit Das

“…In the background, this paper explores the evolution of AI in space science and the emergence of XAI as a critical field. …”
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Predictive modeling of hydrogen production and methane conversion from biomass-derived methane using machine learning and optimisation techniques by Adegboyega Bolu Ehinmowo, Bright Ikechukwu Nwaneri, Joseph Oluwatobi Olaide

“…In this study, the integration of various machine learning algorithms with Bayesian optimisation, firefly algorithm, Levenberg-Marquardt, and differential evolution techniques were investigated for hydrogen production via thermocatalytic methane decomposition. …”
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Verification of Psychodiagnostic Capabilities of Handwritten Texts by Віталій Бочелюк, Микита Панов, Валентина Зайцева

“…The obtained results lead to the idea that handwriting concentrates, to a certain extent, personal characteristics of the author and is an informative psychological feature – but this interpretation must be confirmed by the data of the psycholinguistic method. …”
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Comparative Analysis of Biomarkers in Type 2 Diabetes Patients With and Without Comorbidities: Insights Into the Role of Hypertension and Cardiovascular Disease by Symeon Savvopoulos, Haralampos Hatzikirou, Herbert F Jelinek

“…Future studies will examine longitudinal biomarker evolution.…”
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The spatial distribution of renewable energy infrastructure in three particular provinces of South Africa by Lombard Andrea, Ferreira Sanette L.A.

“…The paper also recommends that future research efforts should be aimed at the evolution of this socio-economic transformation by taking into account the pre-development context of the areas under study.…”
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Tip of the Spear: Developing Predictive Military Planning Tools Using Hidden Markov Models by Matthew Litvinas

“…The evolution of the modern battlefield is increasingly complex as new technologies emerge. …”
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Transportation carbon emission efficiency network formation mechanism and spatial structural complexity analysis: Evidence from China by Lin Liu, Yuming Liu, Rong Zhao

“…The central region lacks a well-structured efficiency guidance system. (3) A multi-level composite network system exists among provinces, featuring a coordination network as the primary component and backbone network as secondary element. …”
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Sounds as taxonomic indicators in Holocentrid fishes by Marine Banse, Estelle Bertimes, David Lecchini, Terry J. Donaldson, Frédéric Bertucci, Eric Parmentier

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A competitive coevolution-based evolutionary algorithm for the parallel inverse design of multiple soft network materials by Xiao Feng, Yuchen Lai, Xing Yang, Yongbin Yu, Fangling Li, Xiangxiang Wang, Jiacheng Liang, Jingye Cai, Shunze Cao

“…To address these design constraints, we developed an innovatively competitive coevolution-based differential evolution algorithm with multi-population architecture (CCMPDE). …”
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Research Progress and Technology Outlook of Deep Learning in Seepage Field Prediction During Oil and Gas Field Development by Tong Wu, Qingjie Liu, Yueyue Wang, Ying Xu, Jiale Shi, Yu Yao, Qiang Chen, Jianxun Liang, Shu Tang

“…Key processes based on Deep Learning, such as feature engineering, network structure design, and physical constraint integration mechanisms, are further explored. …”
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Atacama Large Aperture Submillimeter Telescope (AtLAST) science: Resolving the hot and ionized Universe through the Sunyaev-Zeldovich effect [version 1; peer review: 1 approved, 2... by Pamela Klaassen, Mark Booth, Claudia Cicone, Tony Mroczkowski, Doug Johnstone, Minju Lee, Eelco van Kampen, Daizhong Liu, Matthew Smith, Amélie Saintonge, Sven Wedemeyer, Yvette Perrott, Luca Di Mascolo, Stefano Ettori, Stefano Andreon, Srinivasan Raghunathan, Aurora Simionescu, Dylan Nelson, Joshiwa van Marrewijk, Paola Andreani, Laura Sommovigo, Thomas J. Maccarone, Martin A. Cordiner, Alexander E. Thelen, Thomas W. Morris

“…An omnipresent feature of the multi-phase “cosmic web” — the large-scale filamentary backbone of the Universe — is that warm/hot (≳ 105 K) ionized gas pervades it. …”
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Atacama Large Aperture Submillimeter Telescope (AtLAST) science: Resolving the hot and ionized Universe through the Sunyaev-Zeldovich effect [version 2; peer review: 1 approved, 3... by Pamela Klaassen, Mark Booth, Claudia Cicone, John Orlowski-Scherer, Tony Mroczkowski, Doug Johnstone, Minju Lee, Eelco van Kampen, Daizhong Liu, Matthew Smith, Amélie Saintonge, Sven Wedemeyer, Yvette Perrott, Luca Di Mascolo, Stefano Ettori, Stefano Andreon, Srinivasan Raghunathan, Aurora Simionescu, Dylan Nelson, Joshiwa van Marrewijk, Paola Andreani, Laura Sommovigo, Thomas J. Maccarone, Martin A. Cordiner, Alexander E. Thelen, Thomas W. Morris

“…An omnipresent feature of the multi-phase “cosmic web” — the large-scale filamentary backbone of the Universe — is that warm/hot (≳ 105 K) ionized gas pervades it. …”
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A Multiwavelength Study of the Dynamic Environment Surrounding the FUor V960 Mon by Philipp Weber, Silvio Ulloa, Sebastián Pérez, James Miley, Lucas Cieza, Sergei Nayakshin, Alice Zurlo, Hauyu Baobab Liu, Fernando Cruz-Sáenz de Miera, Antonio Hales, Antonio Garufi, Dimitris Stamatellos, Ágnes Kóspál, Viviana Guzmán

“…The evolution of young stars and planet-forming environments is intrinsically linked to their nascent surroundings. …”
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