Attention-based multi-scale convolution and conformer for EEG-based depression detection by Ze Yan, Ze Yan, Ze Yan, Yumei Wan, Xin Pu, Xiaolin Han, Mingming Zhao, Haiyan Wu, Wentao Li, Xueying He, Yunshao Zheng

“…The AMPC module captures temporal features through multiscale convolutions and extracts spatial features using depthwise separable convolutions, while applying the ECA attention mechanism to weigh key channels, enhancing the model’s focus on crucial electrode channels. …”
Get full text

Greening‐Induced Biophysical Impacts Lead to Earlier Spring and Autumn Phenology in Temperate and Boreal Forests by Jing Guo, Jinmei Wang, Yuxin Qiao, Xu Huang, Nicholas G. Smith, Zhiyong Liu, Rui Zhang, Xiuzhi Chen, Chaoyang Wu, Josep Peñuelas, Lei Chen

“…It is crucial to consider these greening‐induced alterations in microclimate conditions when modeling changes in tree phenology under future climate warming scenarios.…”
Get full text

Réduire le nombre de députés en France métropolitaine. Quel mode d’affectation, pour quelle représentation nationale ? by Cyrille Genre-Grandpierre, Guillaume Marrel, Mathieu Coulon

“…Simulations have pointed out that it is very difficult to attain equitable representation for both populations and territories if the current principles of political representation are maintained in the representative democracy model. In order to limit inequalities in representation, the reduction in the number of MPs must be accompanied by rule modifications to enable greater flexibility in the allocation process, in particular by preferring a regional rather than departmental allocation for MPs. …”
Get full text

Transforming CCTV cameras into NO2 sensors at city scale for adaptive policymaking by Mohamed R. Ibrahim, Terry Lyons

“…Here, we demonstrate how city CCTV cameras can act as a pseudo-NO2 sensors. Using a predictive graph deep model, we utilised traffic flow from London’s cameras in addition to environmental and spatial factors, generating NO2 predictions from over 133 million frames. …”
Get full text

Aging disrupts the link between network centrality and functional properties of prefrontal neurons during memory-guided behavior by Yadollah Ranjbar-Slamloo, Huee Ru Chong, Tsukasa Kamigaki

“…In young adults, degree centrality also predicts cross-modal action-plan selectivity, but this predictive power diminishes with age. …”
Get full text

The colours of the ocean: using multispectral satellite imagery to estimate sea surface temperature and salinity on global coastal areas, the Gulf of Mexico and the UK by Solomon White, Tiago Silva, Laurent O. Amoudry, Evangelos Spyrakos, Adrien Martin, Adrien Martin, Encarni Medina-Lopez

“…A global neural network model was developed, leveraging spectral bands and metadata to predict these parameters. …”
Get full text

Regularities of Plastic Deformation Zone Formation Around Unsupported Shafts in Tectonically Disturbed Massive Rock by Petr A. Demenkov, Ekaterina L. Romanova

“…Fractured rock zones of different quality and spatial configurations are investigated in order to predict the size of dangerous plastic deformation zones or zones of potential rock collapses. …”
Get full text

Physics‐Informed Convolutional Decoder (PICD): A Novel Approach for Direct Inversion of Heterogeneous Subsurface Flow by Nanzhe Wang, Xiang‐Zhao Kong, Dongxiao Zhang

“…Abstract We propose a physics‐informed convolutional decoder (PICD) framework for inverse modeling of heterogenous groundwater flow. PICD stands out as a direct inversion method, eliminating the need for repeated forward model simulations. …”
Get full text

Cortical hierarchies perform Bayesian causal inference in multisensory perception. by Tim Rohe, Uta Noppeney

“…Combining psychophysics, Bayesian modeling, functional magnetic resonance imaging (fMRI), and multivariate decoding in an audiovisual spatial localization task, we demonstrate that Bayesian Causal Inference is performed by a hierarchy of multisensory processes in the human brain. …”
Get full text

Surface Soil Organic Carbon Estimation Based on Habitat Patches in Southwest China by Jieyun Xiao, Wei Zhou, Ting Wang, Yao Peng, Zhan Shi, Saibo Li, Yang Li, Tianxiang Yue

“…Results showed higher SOC content (0–15 cm) in the southwestern mountains and the northwestern plateaus of Sichuan, while lower in the Sichuan Basin. The prediction uncertainty exhibited a similar pattern. …”
Get full text

A Digital Public Health Framework for Understanding Causal Cognitive Drivers of Adolescent Violence by Wei Zhang, Lixin Zhang

“…Through empirical validation on real-world adolescent datasets, we demonstrate that EEG-CauseNet outperforms traditional models in both predictive accuracy and interpretability. …”
Get full text

Deep learning for single-site solar irradiance forecasting using multi-station data by Daniel Guatibonza, Gabriel Narvaez, Luis Felipe Giraldo

“…The results highlight the need for more advanced methods to effectively exploit spatial data, which will guide the future development of solar irradiance prediction models.…”
Get full text

Biocrusts’ impact on hydrological processes and erosion dynamics: A review by Yuanfeng Yang, Yusong Deng, Chongfa Cai, Fang Wang, Yuan Fang, Xiaoqian Duan

“…Although scholars advocate integrating biocrusts into soil erosion prediction models (e.g., RUSLE or WEPP), limited mechanistic understanding of their hydrological and erosional processes constrains model accuracy. …”
Get full text

Simulation of a flash-flood event over the Adriatic Sea with a high-resolution atmosphere–ocean–wave coupled system by Antonio Ricchi, Davide Bonaldo, Guido Cioni, Sandro Carniel, Mario Marcello Miglietta

“…The event was triggered and maintained by the uplift over a convergence line between northeasterly flow from the Alps and southeasterly winds from the Adriatic Sea. Hindcast modelling experiments, using standalone atmospheric models, failed to capture the spatial distribution, maximum intensity and timing of the HPE. …”
Get full text

Pedestrian detection method based on improved YOLOv5 by Shangtao You, Zhenchao Gu, Kai Zhu

“…First, the HorNet to improve the higher-order spatial interaction capability of the model, expand the effective sensory field, and enhance the feature extraction of pedestrians. …”
Get full text

TU-DAT: A Computer Vision Dataset on Road Traffic Anomalies by Pavana Pradeep Kumar, Krishna Kant

“…TU-DAT addresses the lack of public datasets for training and evaluating models focused on automatic detection and prediction of road anomalies. …”
Get full text

Assessing the Future ODYSEA Satellite Mission for the Estimation of Ocean Surface Currents, Wind Stress, Energy Fluxes, and the Mechanical Coupling Between the Ocean and the Atmosp... by Marco Larrañaga, Lionel Renault, Alexander Wineteer, Marcela Contreras, Brian K. Arbic, Mark A. Bourassa, Ernesto Rodriguez

Get full text

An Improved Fault Diagnosis Method and Its Application in Compound Fault Diagnosis for Paper Delivery Structure Coupling by Fu Liu, Haopeng Chen, Yan Wang

“…To overcome these limitations, a multihead self-attention mechanism-enhanced empirical mode decomposition (EEMD)–convolutional neural network (CNN)–bidirectional long short-term memory (BiLSTM) model is proposed. Empirical mode decomposition (EMD) is first applied to extract spatial features from the data. …”
Get full text

Leveraging Graph Neural Networks for IoT Attack Detection by Mevlüt Uysal, Erdal Özdoğan, Onur Ceran

“…It leverages GNNs to model spatial dependencies and interactions within IoT networks and utilizes XGBoost to distill complex features for predictive analysis. …”
Get full text

Uncovering the phytotoxicity of typical perovskite nanomaterials in peanut plants by Ziqian Li, Hong Liu, Yunmu Xiao, Ke Min, Yuliang Pan, Yong Li, Wende Yan

“…This study systematically investigates the phytotoxic mechanisms of lead-based perovskite solar cells (Pb-PSCs), an emerging energy nanomaterial, using the deep-rooted leguminous crop Arachis hypogaea L. (peanut) as a model system. Multi-scale analyses integrating physiological, spatial elemental imaging, and omics approaches revealed that Pb-PSC exposure induced significant morphological impairments, including root morphogenesis inhibition and stem elongation reduction. …”
Get full text