Effects of Monsoon Circulation on Bedload Transport in the Qiongzhou Strait and Adjacent Seas Based on SCHISM by Yuxin Huang, Xiangbai Wu, Huan Mei, Shouxian Zhu, Changliang Tong, Xinyi La

“…This study quantitatively investigates monsoon-driven bedload sediment transport mechanisms in the Qiongzhou Strait using the SCHISM model, revealing three key findings: (1) Monsoon seasonality governs net sediment flux through contrasting hydrodynamic regimes, with the winter monsoon establishing spatially coherent westward transport pathways, while the summer monsoon induces counteracting flow patterns that suppress net transport. (2) Winter conditions exhibit opposing transport vectors between tidal and monsoon forcing at both strait entrances, with monsoon dominance at the western entrance contrasting tidal predominance in the eastern sector. (3) Summer monsoon–tide hydrodynamic decoupling results in transport magnitudes ≤ 10% of tidal-driven quantities across critical cross-sections. …”
Get full text

Dynamic Steerable Patterning of Microscale Particles and Living Cells Using an Ultrasound‐Phased Array by Rick J. P. van Bergen, Bart G. W. Groenen, Daniëlle C. A. Duffhues, Richard G. P. Lopata, Carlijn V. C. Bouten, Hans‐Martin Schwab

“…The data are used to validate a numerical model designed to predict acoustic forces and particle displacement in current and future experiments. …”
Get full text

Energy efficiency and system complexity analysis of CNN based hybrid precoding for cell-free massive MIMO under terahertz communication by Tadele A. Abose, Yitbarek A. Mekonen, Binyam G. Assefa, Naol W. Gudeta

“…The CNN-based model not only mitigates pilot contamination (PC) but also enhances channel estimation by capturing temporal and spatial dynamics. …”
Get full text

<i>Foeniculum vulgare</i> Mill. Mitigates Scopolamine-Induced Cognitive Deficits via Antioxidant and Neuroprotective Mechanisms in Zebrafish by Ion Brinza, Razvan Stefan Boiangiu, Elena Todirascu-Ciornea, Lucian Hritcu, Gabriela Dumitru

“…This study aimed to investigate the effects of <i>F. vulgare</i> essential oil (FVEO; 25, 150, and 300 μL/L) on the cognitive performance and brain oxidative stress in a scopolamine (SCOP; 100 μM)-induced zebrafish model of cognitive impairment. Additionally, the pharmacokinetic properties and bioactivity profiles of the main FVEO constituents were predicted to be used in silico tools, including SwissADME, pkCSM, PASS online, and ADMETlab 2.0. …”
Get full text

Forecasting Spatiotemporal Dynamics of Daytime Surface Urban Cool Islands in Response to Urbanization in Drylands: Case Study of Kerman and Zahedan Cities, Iran by Mohammad Karimi Firozjaei, Naeim Mijani, Solmaz Fathololoumi, Jamal Jokar Arsanjani

“…While existing research has focused on the spatial and temporal changes of surface urban cooling island intensity (SUCII) in drylands in the past, there is a gap in predicting the future spatiotemporal changes in SUCII for cities within these dryland regions. …”
Get full text

A Comprehensive Review of Safety Monitoring Technologies for Concrete Face Rockfill Dams Addressing the Challenges of "Three Highs, One Deep, and One Narrow" by XIAO Sheng, YANG Jie, LU Xi, ZHOU Heng, CHENG Lin, MA Chunhui, TONG Fei

“…In the future, the predictive technology for the safety performance of CFRDs needs significant improvement. …”
Get full text

Eclipse Mapping with MIRI: 2D Map of HD 189733b from 8 μm JWST MIRI LRS Observations by Maura Lally, Ryan C. Challener, Nikole K. Lewis, Julie Inglis, Tiffany Kataria, Heather A. Knutson, Brian M. Kilpatrick, Natasha E. Batalha, Paul Bonney, Ian J. M. Crossfield, Trevor Foote, Gregory W. Henry, David K. Sing, Kevin B. Stevenson, Hannah R. Wakeford, Robert T. Zellem

“…Observations and models of transiting hot Jupiter exoplanets indicate that atmospheric circulation features may cause large spatial flux contrasts across their daysides. …”
Get full text

Rate-induced transitions and noise-driven resilience in vegetation pattern dynamics by L. Vanderveken, M. Crucifix

“…<p>Understanding the resilience and stability of vegetation patterns under changing environmental conditions is crucial for predicting ecosystem responses to climate change. This study investigates the dynamics of vegetation patterns in response to a spatially homogeneous decrease in rainfall across the entire domain. …”
Get full text

CT texture analysis in patients with locally advanced rectal cancer treated with neoadjuvant chemoradiotherapy: A potential imaging biomarker for treatment response and prognosis. by Choong Guen Chee, Young Hoon Kim, Kyoung Ho Lee, Yoon Jin Lee, Ji Hoon Park, Hye Seung Lee, Soyeon Ahn, Bohyoung Kim

“…Cox proportional hazards models were constructed to predict prognosis based on stage, age, and each texture feature. …”
Get full text

Aeromagnetic delineation of iron ore deposits in a complex geological terrain aided by fuzzy logic by Fahad Abubakar, Felix Bamidele Fatoye, Momohjimoh Abdulsalami, Abdullateef Aliyu

“…Validation using four known iron ore mining sites confirmed model accuracy, with all sites located within predicted high-potential zones. …”
Get full text

Combining a Standardized Growth Class Assessment, UAV Sensor Data, GIS Processing, and Machine Learning Classification to Derive a Correlation with the Vigour and Canopy Volume of... by Ronald P. Dillner, Maria A. Wimmer, Matthias Porten, Thomas Udelhoven, Rebecca Retzlaff

“…Finally, ML-based growth class prediction results were extensively discussed and evaluated for overall (accuracy, f1-weighted) and growth class specific- classification metrics (accuracy, user- and producer accuracy).…”
Get full text

RainHCNet: Hybrid High-Low Frequency and Cross-Scale Network for Precipitation Nowcasting by Lei Wang, Zheng Wang, Wenjun Hu, Cong Bai

“…Extensive experiments on the KNMI, Shanghai, and SEVIR datasets demonstrate that both models outperform state-of-the-art methods, particularly in predicting high-intensity rainfall events.…”
Get full text

Co‐Occurring Extremes of Fine Particulate Matter (PM2.5) and Ground‐Level Ozone in the Summer of Southern China by Yan Lyu, Haonan Wu, Xiaoran Liu, Fuliang Han, Fengmao Lv, Xiaobing Pang, Jianmin Chen

“…Through combining multi‐source data, Random Forest model well predicts PM2.5‐ozone co‐occurrence and identifies common precursors (e.g., volatile organic compounds) as important variables. …”
Get full text

The Effects of Climate Change on Human Behavior and Stress by Mitra Sadat Fathifard, Fateme Javid, Abbas Rahdan

“…All processes and data analysis in GIS environment were assessed using the Inverse Distance Weighting (IDW) statistical model, which predicts the spatial structure of unknown points based on the correlation between measured points. …”
Get full text

A state-of-the-art review on machine learning techniques for driving behavior analysis: clustering and classification approaches by Mohammad Hassan Mobini Seraji, Sami Shaffiee Haghshenas, Sina Shaffiee Haghshenas, Vladimir Simic, Dragan Pamucar, Giuseppe Guido, Vittorio Astarita

“…This article gives a thorough overview of the important machine learning methods—especially clustering and classification techniques—that help analyze complex driving behaviors, predict fuel and energy use, and improve vehicle safety systems. …”
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

“…Abstract A major uncertainty in predicting the behaviour of marine-terminating glaciers is ice dynamics driven by non-linear calving front retreat, which is poorly understood and modelled. …”
Get full text

Suitable scale structures for urban multi-functions: an integrative approach grounded in socio-ecological system analysis by Wuyang Hong, Shuwen Yang, Renzhong Guo, Yelin Li, Lin Jiang, Xiaoming Li

“…Abstract Aims Research on the appropriate scale structure and spatial layout of ecological, urban, and agricultural spaces and the effective and methodical development and protection of urban space can provide a solid foundation for the sustainable development of the complex socio-economic urban environment. …”
Get full text

AI-based defect detection and self-healing in metal additive manufacturing by Jan Akmal, Kevin Minet-Lallemand, Jukka Kuva, Tatu Syvänen, Pilvi Ylander, Tuomas Puttonen, Roy Björkstrand, Jouni Partanen, Olli Nyrhilä, Mika Salmi

“…A convolutional neural network was trained (n = 211) and was verified with XCT. The model demonstrated prediction accuracy of 94% for the six classes of unfamiliar defective regions. …”
Get full text

Predator guards on nest boxes improve nesting success of birds by Robyn L. Bailey, David N. Bonter

“…Across all species, top models predicting daily nest survival rates suggest a positive influence of predator guards, with a nearly 7% increase in nest success for attempts in boxes with guards versus attempts in boxes without guards. …”
Get full text

Significance of Cloud Microphysics and Cumulus Parameterization Schemes in Simulating an Extreme Flood-Producing Precipitation Event in the Central Himalaya by Ujjwal Tiwari, Andrew B. G. Bush

“…Precipitation was concentrated over the sub-Himalaya, and the established forecasting systems failed to predict the event. In this study, we evaluate the performance of six cloud microphysics schemes in the Weather Research and Forecasting (WRF) model forced with the advanced ERA5 dataset. …”
Get full text