Assessment of five global gridded precipitation estimates over a southern Mediterranean basin (Tensift, Morocco) by Kaoutar Oukaddour, Younes Fakir, Michel Le Page

“…Gridded Precipitation Products (GPPs) could exhibit discrepancies related to detecting precipitation amounts and patterns. This paper aims to evaluate the accuracy of five GPPs currently in operational production over the Tensift basin in the southern Mediterranean. …”
Get full text

Interpretable deep learning of single-cell and epigenetic data reveals novel molecular insights in aging by Zhi-Peng Li, Zhaozhen Du, De-Shuang Huang, Andrew E. Teschendorff

“…Abstract Deep learning (DL) and explainable artificial intelligence (XAI) have emerged as powerful machine-learning tools to identify complex predictive data patterns in a spatial or temporal domain. Here, we consider the application of DL and XAI to large omic datasets, in order to study biological aging at the molecular level. …”
Get full text

Predicting female football outcomes by machine learning: behavioural analysis of goals as high stress events by Aratz Olaizola, Ibai Errekagorri, Elsa Fernández, Julen Castellano, John Suckling, Karmele Lopez-de-Ipina

“…We applied a comprehensive approach that integrates spatiotemporal and behavioural data during the transitional period following goals focusing on team dynamics, including chaotic and collective behavioural analysis with entropy and fractality, spatial area, movement trajectories, and locomotor patterns. …”
Get full text

Deep learning-based surface deformation tracking with interferometric fringes: A case study in Taiwan by Shih-Teng Chang, Shih-Yuan Lin, Yu-Ching Lin

“…To address these challenges, this study proposes a deep learning-based method that processes wrapped Differential InSAR (D-InSAR) interferograms to directly detect surface deformation patterns. A Fringe-Labeling Model (FLM) was developed to identify deformation regions, followed by a Fringe-Detection Model (FDM) using Faster Region-based Convolutional Neural Networks (Faster R-CNN) to classify deformation magnitudes. …”
Get full text

Efficient curve fitting with penalized B-splines for oceanographic and ecological applications by Kwan-Young Bak, Dong-Young Lee, Ju-Seong Lee, Hee-Jung Jee, R. Jisung Park, Ja-Yong Koo, Jae-Hwan Jhong

“…This framework is particularly advantageous for analyzing spatiotemporal data, as it effectively removes unnecessary knots and adapts to the complexity of underlying patterns. The total variation penalty controls curve smoothness by penalizing abrupt changes in the estimated function, while the group penalty ensures that all response variables share a consistent set of knots, enhancing interpretability. …”
Get full text

Analyzing the Effect of Drainage on the Stability of Tailings Dams Using the Interpretation of Cross-Correlations by Moustafa Hamze-Guilart, Lineu Azuaga Ayres da Silva, Anna Luiza Marques Ayres da Silva, Maria Eugenia Gimenez Boscov

“…By applying time series analysis methods to the instrumentation data, including autocorrelation and cross-correlation functions, this study identifies patterns in drainage efficiency and its impact on stability. …”
Get full text

Perspectives on the Presence of Environmentally Persistent Free Radicals (EPFRs) in Ambient Particulate Matters and Their Potential Implications for Health Risk by Senlin Lu, Jiakuan Lu, Xudong Wang, Kai Xiao, Jingying Niuhe, Xinchun Liu, Shinichi Yonemochi

“…This review critically synthesizes recent advancements in understanding EPFR formation mechanisms, analytical detection methodologies, environmental distribution patterns, and toxicological impacts. While progress has been made in characterization techniques, challenges persist—particularly in overcoming limitations of electron paramagnetic resonance (EPR) spectroscopy and spin-trapping methods in complex environmental matrices. …”
Get full text

Microbial indoor air pollution in Delhi Metropolitan City is attributable to severe respiratory and general health effects among residents by Pradeep Kumar, Pradeep Kumar, Rajeev Singh, Rajeev Singh

“…This study isolated, characterized, and assessed microbial indoor air quality (bioaerosols) using multiproxy approaches and correlated findings with associated health effects. The spatial variation of bacterial aerosols showed irregular patterns, increasing from winter to summer and decreasing in fall; fungal aerosols consistently increased from winter to fall. …”
Get full text

Groundwaterscapes: A Global Classification and Mapping of Groundwater's Large‐Scale Socioeconomic, Ecological, and Earth System Functions by Xander Huggins, Tom Gleeson, Karen G. Villholth, Juan C. Rocha, James S. Famiglietti

“…Groundwaterscapes are derived using a novel application of sequenced self‐organizing maps that capture patterns in groundwater system functions at the grid cell level (∼10 km), including groundwater‐dependent ecosystem type and density, storage capacity, irrigation, safe drinking water access, and national governance. …”
Get full text

Shearography-Based Near-Surface Defect Detection in Composite Materials: A Spatiotemporal Object Detection Neural Network Trained Only with Simulated Data by Guanlin Li, Yao Hu, Hao Wang, Qun Hao, Yu Zhang

“…The network simultaneously learns both the spatial distribution features and temporal variation patterns of simulated phase map sequences, achieving high-accuracy detection of defects. …”
Get full text

Cross-Dataset Head-Related Transfer Function Harmonization Based on Perceptually Relevant Loss Function by Jiale Zhao, Dingding Yao, Junfeng Li

“…Head-Related Transfer Functions (HRTFs) play a vital role in binaural spatial audio rendering. With the release of numerous HRTF datasets in recent years, abundant data has become available to support HRTF-related research based on deep learning. …”
Get full text

Unraveling Cyberbullying Dynamis: A Computational Framework Empowered by Artificial Intelligence by Liliana Ibeth Barbosa-Santillán, Bertha Patricia Guzman-Velazquez, Ma. Teresa Orozco-Aguilera, Leticia Flores-Pulido

“…By integrating artificial intelligence techniques with image analysis, our model detects visual patterns associated with violent threats, creating safer digital environments. …”
Get full text

Research on crack propagation characteristics and mechanical mechanism around gas drainage boreholes by Hao Liu, Baoshan Jia, Kaiwen Zhang, Chang Liu, Shiyi Zhang, Yan Sun, Runzhi Li

“…This reveals the nature of delamination and complex fracturing around gas drainage boreholes and provides a valuable reference for studying the crack propagation patterns around gas drainage boreholes.…”
Get full text

Pervasive glacier retreats across Svalbard from 1985 to 2023 by Tian Li, Stefan Hofer, Geir Moholdt, Adam Igneczi, Konrad Heidler, Xiao Xiang Zhu, Jonathan Bamber

“…At the seasonal timescale, peak retreat rates exhibit a several-month phase lag, with changes on the west coast occurring before those on the east coast, coincident with regional ocean warming. This spatial variability in seasonal patterns is linked to different timings of warm ocean water inflow from the West Spitsbergen Current, demonstrating the dominant role of ice-ocean interaction in seasonal front changes. …”
Get full text

Bioclimatic Condition Variability in the Central Region of Poland in the Period 2001–2024 by Katarzyna Rozbicka, Tomasz Rozbicki, Grzegorz Majewski

“…This research shows significant changes in thermal comfort and stress patterns, highlighting regional disparities and the implications for public health and urban planning in response to evolving bioclimatic conditions.…”
Get full text

Wireless Patch Antenna Characterization for Live Health Monitoring Using Machine Learning by Dominic Benintendi, Kevin M. Tennant, Edward M. Sabolsky, Jay Wilhelm

“…Sensor calibration was conducted using a Long Short-Term Memory (LSTM) model, which leveraged temporal patterns to account for hysteresis effects. The calibration method demonstrated improved performance when combined with an LSTM model, achieving up to a 76% improvement in temperature estimation error when compared with Linear Regression (LR). …”
Get full text

Surface water mapping from remote sensing in Egypt’s dry season using an improved U-Net model with multi-scale information and attention mechanism by Yong Li, Xiuhui Liu, Vagner Ferreira, Heiko Balzter, Huiyu Zhou, Ying Ge, Meiyun Lai, Simin Chu, Han Ding, Zhenrong Gu

“…During dry seasons, Egyptian water bodies exhibit unique challenges for remote sensing detection due to their significant spectral differences, complex morphological patterns, and numerous small streams. However, existing water detection methods face challenges in accurately identifying water bodies with high spatial and spectral variability, especially in arid regions during dry seasons. …”
Get full text

A site-specific survey for EO-based phenological monitoring in regenerative agriculture within LULUCF framework by Marzia Gabriele, Raffaella Brumana, Nicola Genzano

“…Sub-hectare analyses further detailed phenological patterns linked to specific RA practices. This integrated EO–Survey approach complements LULUCF assessments by coupling EO-derived vegetation analytics with targeted field validation, capturing spatial and temporal RA transition dynamics.…”
Get full text

Stimulated Raman scattering microscopy with phase-controlled light focusing and aberration correction for rapid and label-free, volumetric deep tissue imaging by Weiqi Wang, Zhiwei Huang

“…By incorporating Zernike polynomials into the phase patterns, we simultaneously correct the system aberrations at two separate wavelengths (~240 nm difference), achieving a ~3-fold enhancement in signal-to-noise ratio over the uncorrected imaging system. …”
Get full text

Changes in waterfowl movement behavior in response to hunting pressure by Karen E. Beatty, Nathaniel R. Huck, Frances E. Buderman

“…Abstract Background Anthropogenic activity can modify how wildlife perceives risks and rewards across the landscape (the ‘Landscape of Fear’) and affect animal movement and behavior. Studying movement patterns allows researchers to infer anti-predator behaviors and their drivers that affect survival. …”
Get full text