Rugged terrain and rigid hierarchy by Gen Tsudaka, Margaux N.A. Wienk, Jana B. Berkessel, Cynthia Boo

“…In Study 1 (78 countries; N = 156,658), we combined cross-national survey data from the European Values Study/World Values Survey with digital elevation models. Results demonstrated that national preferences for military rule and for a strong leader (who bypasses democratic processes) were higher in countries with more rugged terrain, even after controlling for economic factors, demographic indices, and spatial autocorrelation. …”
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Analysis of temperature field evolution in ground freezing construction of twin tunnels in a coastal urban area by Tingfen Ye, Jun Hu, Jie Zhou, Huajing Gan, Lei Huang, Xinmin Shang

“…However, in the case of twin-tunnel (or two-lane tunnel) projects, accurately predicting the temperature field during the freezing process remains a critical challenge. …”
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Deciphering the Social Vulnerability of Landslides Using the Coefficient of Variation-Kullback-Leibler-TOPSIS at an Administrative Village Scale by Yueyue Wang, Xueling Wu, Guo Lin, Bo Peng

“…By comparing the actual losses incurred per unit area from landslides, it is found that the social vulnerability results predicted by the <i>CV-KL-TOPSIS</i> model are more consistent with the actual survey results. …”
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The Role of Parental Education, Intelligence, and Personality on the Cognitive Abilities of Gifted Children by Lina Pezzuti, Morena Farese, James Dawe, Marco Lauriola

“…Several studies have indicated that parental education predicts children’s intelligence. In contrast, fewer studies have simultaneously analyzed the role of parental intelligence, education, and personality in shaping their children’s giftedness. …”
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Using unmanned aerial vehicles to estimate body volume at scale for ecological monitoring by Thomas C. Stone, Katrina J. Davis

“…Abstract Demographic data are essential to construct mechanistic models to understand how populations change over time and in response to global threats like climate change. …”
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Evolution of the ecological security pattern of the Yellow River Basin based on ecosystem services: a case study of the Shanxi section, China by Jinfang Wang, Zhihong Lv, Zhilei Zhen, Qian Wu

“…Identifying and evaluating the ecological security pattern (ESP) of region can provide a solid foundation for optimizing regional ecosystem elements and improving regional ecological security. The PLUS model, InVEST model, and circuit theory were used to analyze the ecosystem services and ESP of the Shanxi section of the Yellow River Basin (SYRB) between 2005 and 2035. …”
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Estimating latent heat flux of subtropical forests using machine learning algorithms by Harekrushna Sahu, Pramit Kumar Deb Burman, Palingamoorthy Gnanamoorthy, Qinghai Song, Yiping Zhang, Huimin Wang, Yaoliang Chen, Shusen Wang

“…This study highlights the robustness of support vector regression and accentuates the impact of climatic and environmental conditions on model performance, ultimately contributing to more precise predictions of latent heat flux.…”
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Climate-driven hydrological sensitivity in Estonian catchments: a northern temperate perspective by Oliver Koit, Joonas Pärn, Marlen Hunt, Siim Tarros, Elve Lode, Pamela Abreldaal

“…Key findings include diverse catchment sensitivities to groundwater recharge, the role of baseflow in streamflow stabilization, the memory effect in catchment responses, and insights from the flow duration curve on flow variability and extremes. The LightGBM model, predicting focus parameters, highlights the critical influence of air temperature and snowpack on streamflow characteristics. …”
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Variations in Bedrock and Vegetation Cover Modulate Subsurface Water Flow Dynamics of a Mountainous Hillslope by S. Uhlemann, L. Peruzzo, C. Chou, K. H. Williams, S. Wielandt, C. Wang, N. Falco, Y. Wu, B. Carr, P. Meldrum, J. Chambers, B. Dafflon

“…Abstract Predicting the hydrological response of watersheds to climate disturbances requires a detailed understanding of the processes connecting hillslopes and streams. …”
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The Intentional and Unintentional Human Food Subsidy Landscape for a Large Carnivore by Matthew M. Smith, David M. MacFarland, Jennifer L. Price Tack, Jonathan N. Pauli

“…We then predicted a human subsidy landscape that explored the spatial variation between intentional and unintentional sources and modeled the relationship between human food subsidies and conflict. …”
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Brittleness evaluation of main coal seams in Permian Taiyuan-Shanxi formations, Baode block, Ordos Basin: based on a convolutional neural network method by Qingfeng ZHANG, Ziling LI, Jikun ZHANG, Shuai HAO, Xiaoguang SUN, Yanjie SHANG, Yun ZUO

“…The results indicated that CNN-based predictions of rock mechanical parameters had good applicability for coal-bearing layers. …”
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Computational analysis of the functional impact of MHC-II-expressing triple-negative breast cancer by Yang Cui, Weihang Zhang, Xin Zeng, Yitao Yang, Sung-Joon Park, Kenta Nakai, Kenta Nakai

“…Remarkably, we identified a prognostic signature comprising 40 significant genes in the MHC-II-expressing tumors in which machine leaning models with the signature successfully predicted patient survival outcomes and the degree of immune infiltration. …”
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Neutrophil to Lymphocyte Ratio and Spontaneous Bacterial Peritonitis among Cirrhotic Patients: A Systematic Review and Meta-analysis by Seyed Arsalan Seyedi, Seyed Ali Nabipoorashrafi, Jairo Hernandez, Andrew Nguyen, Brandon Lucke-Wold, Shima Nourigheimasi, Shokoufeh Khanzadeh

“…The goal of this systematic review and meta-analysis was analyzing published studies on the role of neutrophil to lymphocyte ratio (NLR) in infection and spatially spontaneous bacterial peritonitis (SBP) among cirrhotic patients. …”
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Application of deep learning for coherent pixel selection in time series InSAR for urban area and transport infrastructure monitoring by S. Azadnejad, A. Kandiri, A. Hrysiewicz, F. O’Loughlin, E.P. Holohan, S. Dev, S. Donohue

“…Predictions of temporal coherence from MLP and LSTM models are similar, but the MLP model training time is much faster. …”
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Monitoring sub-arctic wetland vegetation using nested scales of spectrometry to inform multiple endmember spectral unmixing of Sentinel-2A imagery by Heidi Cunnick, Joan M Ramage, Dawn Magness, Stephen C Peters

“…We develop a bottom–up reference library for unmixing based on nested scales of data beginning with the highest resolution of a ground collected handheld spectral measurements, progressing to 1 m ^2 resolution using fused hyperspectral-LiDAR data, and then subsequently map predictively at the spatial resolution of the 10 m ^2 multi-spectral imagery of the European Space Agency’s Sentinel-2A. …”
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Retrospective evaluation of Facial nerve monitoring to prevent nerve damage during robotic drilling in the largest series of patients undergoing the HEARO-procedure. by Jaouad Abari, Marco Matulic, Pablo Galeazzi, Masoud Zoka Assadi, Paul Van de Heyning, Vedat Topsakal

“…Linear regression was used to determine if the minimum stimulation thresholds (FNM) could significantly predict the intra-operative distance (CBCT) between the drilled trajectory and the facial nerve. …”
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High-frequency Coronal Alfvénic Waves Observed with DKIST/Cryo-NIRSP by Richard J. Morton, Momchil Molnar, Steven R. Cranmer, Thomas A. Schad

“…This result appears to challenge some models of photospheric-driven Alfvénic waves that predict a lack of high-frequency wave power in the corona owing to strong chromospheric damping. …”
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Real-Time Human Group Detection and Clustering in Crowded Environments Using Enhanced Multi-Object Tracking by Hyunmin Lee, Donggoo Kang, Hasil Park, Sangwoo Park, Dasol Jeong, Joonki Paik

“…To address these limitations, we propose a novel algorithm that integrates an optimized YOLOv8 model with DeepSORT tracking, enhancing both detection accuracy and real time performance. …”
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Volcano activity classification from synergy of EO data and machine learning: an application to Mount Etna volcano (Italy) by C. Petrucci, G. Romoli, A. Pignatelli, E. Trasatti, F. Zuccarello, F. Greco, M. Dozzo, G. Bilotta, F. Spina, G. Ganci

“…The study addresses challenges like temporal and spatial disparities and class imbalances through data preprocessing, ensuring a reliable dataset for training and validation. …”
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Lower ambulatory care availability and greater hospital capacity are associated with higher hospital case volumes by Doreen Müller, Manas K. Akmatov, Dominik Graf von Stillfried

“…Global Moran’s I confirmed spatial clustering, and GWR revealed heterogeneous effects of primary-care access on hospital admissions, whereas bed capacity uniformly increased hospital cases and shorter GP distances consistently predicted more office visits across Germany. …”
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