Emergent Holographic Forces from Tensor Networks and Criticality by Rahul Sahay, Mikhail D. Lukin, Jordan Cotler

“…The AdS/CFT correspondence stipulates a duality between conformal field theories and certain theories of quantum gravity in one higher spatial dimension. However, probing this conjecture on contemporary classical or quantum computers is challenging. …”
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Hemodynamic predictors of rupture in abdominal aortic aneurysms: a case series using computational fluid dynamics by Kiyoon Moon, Yosep Lee, Junseong Lee, Youngki Son, Youngje Woo, Eunju Jang, Sangseob Yun, Suncheol Park, Jangyong Kim

“…ECAP demonstrated the highest spatial specificity for rupture. Overlay models revealed that ILT-prone zones corresponded with high-RRT regions and often co-localized with rupture sites.ConclusionsCFD-derived hemodynamic parameters, particularly ECAP was spatially correlated with AAA rupture sites. …”
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Strata pressure behavior law and regional-level intelligent early warning for high-intensity mining in extended working faces of medium-thick coal seams in Yuheng mining area by Feng CUI, Cheng ZONG, Xingping LAI, Tao XIE, Yunhu BAI, Yi ZHANG, Chong JIA, Hao WANG, Zhong LUO, Hao LIU

“…Compared with multiple models based on the attention mechanism, the PatchTST model can achieve the lowest prediction error. …”
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Water Quality in the Ma’an Archipelago Marine Special Protected Area: Remote Sensing Inversion Based on Machine Learning by Zhixin Wang, Zhenqi Zhang, Hailong Li, Hong Jiang, Lifei Zhuo, Huiwen Cai, Chao Chen, Sheng Zhao

“…The results indicated that the random forest model could reliably predict Chl-a, phosphate, and DIN concentrations in the MMSPA. …”
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Determining carbon storage of a complex peat stratigraphy using non– and minimal-invasive geophysical prospection techniques (Verlorener Bach and Loosbach valleys, southern Germany... by Anne Köhler, Ulrike Werban, Marco Pohle, Johannes Rabiger-Völlmer, Birgit Schneider, Anneli Wanger-O’Neill, Stefanie Berg, Peter Dietrich, Christoph Zielhofer

“…However, potential reductions in groundwater levels could lead to peat decomposition and carbon release.This study demonstrates the effectiveness of integrating EMI, DP-EC and ERT data for stratigraphic analysis, providing a comprehensive understanding of spatial sediment stratigraphies and carbon storage in the study area. …”
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Distributed surface mass balance of an avalanche-fed glacier by M. Kneib, M. Kneib, A. Dehecq, A. Gilbert, A. Basset, E. S. Miles, E. S. Miles, G. Jouvet, B. Jourdain, E. Ducasse, L. Beraud, A. Rabatel, J. Mouginot, G. Carcanade, O. Laarman, F. Brun, D. Six

“…</mo><mspace linebreak="nobreak" width="0.125em"/><msup><mi mathvariant="normal">yr</mi><mrow><mo>-</mo><mn mathvariant="normal">1</mn></mrow></msup></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="52pt" height="15pt" class="svg-formula" dspmath="mathimg" md5hash="e0918f6438cbe876de2794196580ddad"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="tc-18-5965-2024-ie00001.svg" width="52pt" height="15pt" src="tc-18-5965-2024-ie00001.png"/></svg:svg></span></span> for the 11-year average). The detected spatial variability in surface mass balance is consistent between the modelling approaches and much higher than what is predicted from an enhanced-temperature-index model calibrated with measurements from a dense network of stakes. …”
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Experimental study on the influence of shale content in fault zone on fault friction coefficient based on circular shear test by Lingdong Meng, Dong Li, Xiaofei Fu, Yejun Jin, Zezhao Liu, Ziyang Li, Tong Zhang, Ruishan Du, Xiaoling Zhang

“…By integrating a 3D prediction model of clay content on fault surfaces, the spatial distribution of non-uniform friction coefficients across fault planes was determined. …”
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BiLSTM- and GNN-Based Spatiotemporal Traffic Flow Forecasting with Correlated Weather Data by Abdullah Alourani, Farzeen Ashfaq, N. Z. Jhanjhi, Navid Ali Khan

“…Attention modules are added to the GNN and BLSTM to find high-impact attention weight values for the chosen road section. Our model offers the best prediction accuracy with a mean absolute percentage error of 5.21% and a root mean squared error of 4. …”
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A novel approach for joint indoor localization and activity recognition using a hybrid CNN-GRU and MRF framework. by Sarmad Sohaib, Syed Mohsin Bokhari, Muhammad Shafi, Anas Alhashmi

“…The CNN-GRU successfully captures spatial and temporal dependencies, while the MRF models the mutual relations of activities and locations by estimating their joint probability distribution. …”
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Near real-time land surface temperature reconstruction from FY-4A satellite using spatio-temporal attention network by Ruijie Li, Hequn Yang, Xu Zhang, Xin Xu, Liuqing Shao, Kaixu Bai

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An ensemble machine learning bioavailable strontium isoscape for Eastern Canada by Mael Le Corre, Felipe Dargent, Vaughan Grimes, Joshua Wright, Steeve D. Côté, Megan S. Reich, Jean-Noël Candau, Marrissa Miller, Brent Holmes, Clement P. Bataille, Kate Britton

“…Adding local bioavailable 87Sr/86Sr to a global dataset significantly improved the model prediction with a drastic increase of predicted 87Sr/86Sr and increased spatial uncertainty in the northern Canadian craton. …”
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Exploring the transmission of cognitive task information through optimal brain pathways. by Zhengdong Wang, Yifeixue Yang, Ziyi Huang, Wanyun Zhao, Kaiqiang Su, Hengcheng Zhu, Dazhi Yin

“…This study not only challenges the shortest path assumption through empirical network models but also suggests that cognitive task information routing is constrained by the spatial and functional embedding of the brain network.…”
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Application of PSO-Optimized Twin Support Vector Machine in Medium and Long-Term Load Forecasting under the Background of New Normal Economy by Xiang He, Yan Chen, Kai Hu, Lin Wan

“…Moreover, this paper uses the algorithm to debug the filter and studies the accurate prediction of the fine model by the progressive spatial mapping algorithm and the processing of the data by the vector fitting algorithm. …”
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Vertical Velocity Diagnosed From Surface Data With Machine Learning by Jing He, Amala Mahadevan

“…We evaluate the machine learning models' sensitivities to different inputs, spatial resolution of surface fields, the addition of noise, and information about the subsurface density. …”
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SOME DYNAMIC PROCESSES AT LONGITUDINALLY-TRANSVERSE SHIFT OF THE CARGO by Leontii MURADIAN, Anzhelika SHVETS, Angela SHVETS

“…During the analytical simulation, a multibody model of the spatial oscillations of the wagon was used. …”
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The Environmental Niche of the Light Purse Seine Fleet in the Northwest Pacific Ocean Based on Automatic Identification System Data by Shenglong Yang, Lijun Wan, Linlin Yu, Jiashu Shi, Weifeng Zhou, Shengmao Zhang, Fei Wang, Zuli Wu, Yang Dai, Keji Jiang, Wei Fan

“…By applying boosted regression trees (BRTs) and generalized additive models (GAMs), this study establishes nonlinear relationships between fishing intensity and predictor variables and explores the ecological and environmental drivers behind the spatial distribution of light purse seine vessels from the Chinese mainland in the Northwest Pacific. …”
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Contribution of Range‐Wide and Short‐Scale Chemical Soil Variation to Local Adaptation in a Tropical Montane Forest Tree by Sebastián Arenas, Jorge Cruz‐Nicolás, Gustavo Giles‐Pérez, Josué Barrera‐Redondo, Verónica Reyes‐Galindo, Alicia Mastretta‐Yanes, Erika Aguirre‐Planter, Luis E. Eguiarte, Juan Pablo Jaramillo‐Correa

“…Our findings reveal that local adaptation in trees is the result of an intricate interaction between soil chemical properties and the local population's genetic makeup, and that the selective factors driving such adaptation greatly vary and are not necessarily predictable across spatial scales. These results highlight the need to consider edaphic variation in forest genetic studies (including common garden experiments) and in conservation, management and assisted migration programs.…”
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Rolling Bearing Fault Diagnosis Based on Recurrence Plot by Zheming Chen, Bin Xu, Zhong Zhang

“…Compared to existing methods, this approach leverages the recurrence plot technique to convert vibration signals into color images, which carry more information than grayscale images. For the prediction model, the traditional convolutional neural network is enhanced by integrating bidirectional gated recurrent unit and multi-head attention mechanism, allowing it to capture temporal features alongside the spatial features typically extracted by convolutional neural network. …”
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Electrofacies Analysis Using a Geostatistical Approach, Northern Iraq Case Study by Hussein S. Hussein

“…R2 ¼ 0.72 showed a statistically significant association between the described and anticipated lithologies. For subsequent prediction for other formations in the same well, the model with a higher coefficient of determination (0.72) might be evaluated. …”
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Cross-Species Multi-Omics Analysis Reveals Myeloid-Driven Endothelial Oxidative Stress in Ischemic Stroke by Ziqi Cheng, Hua Zhu, Shi Feng, Yonggang Zhang, Xiaoxing Xiong

“…Methods: In this study, we integrated bulk RNA-sequencing (RNA-seq), single-cell RNA-seq (scRNA-seq), spatial transcriptomics, and flow cytometry data from human and mouse models of ischemic stroke. …”
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