Awe is characterized as an ambivalent affect in the human behavior and cortex by Jinwoo Lee, Danny Dongyeop Han, Seung-Yeop Oh, Jiook Cha

“…Notably, this variability significantly predicted subjective awe ratings. Lastly, hidden Markov modeling revealed that the multiple band powers, particularly in the frontoparietal channels, were significantly associated with differentiation of valent states during awe-inducing VR watching. …”
Get full text

Temporal resolution of spike coding in feedforward networks with signal convergence and divergence. by Zach Mobille, Usama Bin Sikandar, Simon Sponberg, Hannah Choi

“…Additionally, we found that a simple network model based on convergence and divergence ratios of a hawkmoth (Manduca sexta) nervous system can reproduce the relative contribution of spike timing information in its motor output, providing testable predictions on optimal temporal resolutions of spike coding across the moth sensory-motor pathway at both the single-neuron and population levels.…”
Get full text

RGB to hyperspectral: Spectral reconstruction for enhanced surgical imaging by Tobias Czempiel, Alfie Roddan, Maria Leiloglou, Zepeng Hu, Kevin O'Neill, Giulio Anichini, Danail Stoyanov, Daniel Elson

“…Transformer models exhibit superior performance in terms of RMSE, SAM, PSNR and SSIM by effectively integrating spatial information to predict accurate spectral profiles, encompassing both visible and extended spectral ranges. …”
Get full text

Enhancing urban resilience through machine learning-supported flood risk assessment: integrating flood susceptibility with building function vulnerability by Xiaoling Qin, Shifu Wang, Meng Meng, Haiyan Long, Huilan Zhang, Haochen Shi

“…Using a Random Forest (RF) model, it predicts flood susceptibility based on flood records, hydrological, topographical, and anthropogenic features. …”
Get full text

Research on the employment mobility patterns and driving factors of graduates from double first-class universities in the central China by Zilong Jiang, Zongyu Shao, Qiang Wang

“…Additionally, the study predicts the evolutionary trend of the network using the TERGM model. …”
Get full text

Enhanced simulation of gross and net carbon fluxes in a managed Mediterranean forest by the use of multi-sensor data by Marta Chiesi, Nicola Arriga, Luca Fibbi, Lorenzo Bottai, Luigi D'Acqui, Alessandro Dell’Acqua, Sara Di Lonardo, Lorenzo Gardin, Maurizio Pieri, Fabio Maselli

“…The proposed advancements are aimed at improving the model performance in managed Mediterranean forests and concern: i) the calibration of C-Fix GPP sensitivity to water stress; ii) the quantification of the green, woody and soil C pools which regulate the prediction of NPP and NEP. …”
Get full text

Pharmacological potential of 6,11-dihydro[1,2,4]triazolo[4’,3’:1,6]-pyrido[3,4-b]-5-carboxylic acid and its esters by S. O. Fedotov, A. S. Hotsulia

“…Molecular docking was performed using Vina software, which provides modelling and evaluation of interactions between ligand and three-dimensional protein structure, considering their energy and spatial compatibility. …”
Get full text

Global high-resolution fire-sourced PM_2.5 concentrations for 2000–2023 by Y. Hu, C. Tian, X. Yue, Y. Lei, Y. Cao, R. Xu, Y. Guo

Get full text

Mineral prospectivity mapping using geological map semantic knowledge graph embedding: a case study of gold prospecting in Ankang, Shaanxi Province, China by Qun Yan, Linfu Xue, Yongsheng Li, Rui Wang, Ke Ding, Zhenglin Xu

“…To improve the model’s ability to learn the complex variations in geospatial features, we employ the Conformer deep learning model for gold prospectivity prediction. …”
Get full text

A condition diagnosis method for subway track structures employing distributed optical fiber sensing by Hong Han, Xiaopei Cai, Liang Gao

“…Through spatial correlation analysis of the strain of symmetric measuring points, the Mahalanobis distance of the predicted residual is used as the diagnostic factor to realize accurate identification of the orbital structure state. …”
Get full text

The annual dynamic dataset of high-resolution crop water use in China from 1991 to 2019 by Minglei Wang, Wenjiao Shi

“…Firstly, we estimated the yearly crop blue and green water use at the site scale by incorporating more localized input parameters using a dynamic water balance model. Then, the random forest model was combined with site-scale simulation results to generate spatial predictions of blue and green water for each crop from 1991 to 2019. …”
Get full text

Analysis of the spatio-temporal variability of spawning mackerel in the Northeast Atlantic by Gersom Costas

“…To achieve this objective, a Random Forest model was used to predict the presence of mackerel eggs based on temporal, geographical, and environmental variables. …”
Get full text

Environment-assisted quantum transport of excitons in perovskite nanocrystal superlattices by Daria D. Blach, Victoria A. Lumsargis-Roth, Chern Chuang, Daniel E. Clark, Shibin Deng, Olivia F. Williams, Christina W. Li, Jianshu Cao, Libai Huang

“…Our results connect theoretical predictions and experiments using a stochastic Anderson localization model, highlighting perovskite nanocrystals as promising building blocks for quantum materials.…”
Get full text

Specificity, propagation, and memory of pericentric heterochromatin by Katharina Müller‐Ott, Fabian Erdel, Anna Matveeva, Jan‐Philipp Mallm, Anne Rademacher, Matthias Hahn, Caroline Bauer, Qin Zhang, Sabine Kaltofen, Gunnar Schotta, Thomas Höfer, Karsten Rippe

“…From the experimental data, we developed a predictive mathematical model that explains how chromatin‐bound SUV39H1/2 complexes act as nucleation sites and propagate a spatially confined PCH domain with elevated histone H3 lysine 9 trimethylation levels via chromatin dynamics. …”
Get full text

Observed Tightening of Tropical Ascent in Recent Decades and Linkage to Regional Precipitation Changes by Hui Su, Longtao Wu, Chengxing Zhai, Jonathan H. Jiang, J. David Neelin, Yuk L. Yung

“…Abstract Climate models predict that the tropical ascending region should tighten under global warming, but observational quantification of the tightening rate is limited. …”
Get full text

The potential spatiotemporal distribution patterns of Avena nuda and Avena sativa from global perspective provide new insights for the cultivation of commonly cultivated oats by Huanhuan Lu, Yuying Zheng, Ting Zhao, Liuban Tang, Fan Zhang, Wengang Xie

“…This study comprehensively collected the geographic distribution and environmental data of A. nuda and A. sativa from global regions, the ensembled niche and Marxan model were used to predict the potential spatiotemporal distribution and planting pattern of commonly cultivated oats, and further explore the environmental factors that affected the spatial distribution and genetic diversity pattern. …”
Get full text

Estimation of Soil Organic Carbon Content of Grassland in West Songnen Plain Using Machine Learning Algorithms and Sentinel-1/2 Data by Haoming Li, Jingyao Xia, Yadi Yang, Yansu Bo, Xiaoyan Li

“…Nine experiments were conducted under three variable scenarios to select the optimal model. We used this optimal model to achieve high-precision predictions of SOC content. …”
Get full text

Design of vehicle data engine system based on big data platform and intelligent perception by CHEN Xijun

“…To this end, a set of vehicle data engine system was designed based on the big data platform and intelligent perception to clean and integrate the operation data of the traction, braking, door, network and LCU systems for the spatial and temporal alignment of data. In addition, data analysis strategy model was developed by means of drag and drop based on the canvas components to carry out multidimensional data analysis, make decisions, monitor the working process, identify hidden troubles and give early warning, and make life predictions, replacing the repetitive and complex manual operation. …”
Get full text

G-RCenterNet: Reinforced CenterNet for Robotic Arm Grasp Detection by Jimeng Bai, Guohua Cao

“…Finally, ResNet50 is selected as the backbone network, and a custom loss function is designed specifically for grasp detection tasks, which significantly enhances the model’s ability to predict feasible grasp boxes. The proposed G-RCenterNet algorithm is embedded into a robotic grasping system, where a structured light depth camera captures target images, and the grasp detection network predicts the optimal grasp box. …”
Get full text

Spatiotemporal wind speed forecasting using conditional local convolution and multidimensional meteorology features by Meng Wang, Juanle Wang, Mingming Yu, Fei Yang

“…While recent deep learning models have improved prediction accuracy, they often assume uniform influence weight structure, limiting model effectiveness. …”
Get full text