Elucidating the role of ferrihydrite and goethite in the aggregation and stability of small soil microaggregates: An experimental study on arable Luvisols under different managemen... by Ni Tang, Nina Siebers, Stefan Dultz, Erwin Klumpp

“…Here it is likely that attachment of Fe oxides on SMA caused a rearrangement of their structure leading to a closer packing of particles. A generally higher decrease in the abundance of > 10 μm SMA in the ferrihydrite addition implied a more efficient compacting effect of ferrihydrite than that of goethite. …”
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A New Modeling Method for Meteorological Information of Regional Distributed Photovoltaic Power Generation Based on Multi‐Source Information Fusion by Yuhang Wang, Dengxuan Li, Wenwen Ma, Xi Zhang, Honglu Zhu

“…However, DPV sites are typically scattered with small installed capacities and generally lack dedicated weather stations. Consequently, developing effective, reliable, and cost‐efficient meteorological information computation methods for DPV has become a critical research focus. …”
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A Method for Predicting Coal-Mine Methane Outburst Volumes and Detecting Anomalies Based on a Fusion Model of Second-Order Decomposition and ETO-TSMixer by Qiangyu Zheng, Cunmiao Li, Bo Yang, Zhenguo Yan, Zhixin Qin

“…These limitations include the complexity of the models and their poor ability to generalize. The paper proposes a methane outburst volume-prediction and early-warning method. …”
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Research progress on the method of determining gas–water relative permeability curve in unconventional reservoirs by Sijie He, Feifei Fang, Kun Song, Xizhe Li, Jie Zhang, Jianqi Cao, Yu Wang, Xiaoliang Huang, Chaoliang Bian

“…The research results show: (1) The gas–water relative permeability curve has broad applications, and its precise measurement is essential for the efficient and economical development of gas reservoirs. (2) Current research on the unsteady-state method in unconventional reservoir applications generally focuses on improving the experimental method by combining the NMR, CT, and DPT techniques or optimizing the JBN method by considering the threshold pressure gradient, stress sensitivity, and gas slippage effect. (3) When experimenting with relative permeability curves in ultra-low permeability core samples is difficult or impossible, the indirect calculation can be used as an alternative to quickly obtaining numerous relative permeability curves. …”
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An integration of ensemble deep learning with hybrid optimization approaches for effective underwater object detection and classification model by G. Abirami, S. Nagadevi, J. D. Dorathi Jayaseeli, T. Prabhakara Rao, R S M Lakshmi Patibandla, Rajanikanth Aluvalu, K Srihari

“…While current object recognition methods have attained an outstanding performance on terrestrial, they are less suitable in underwater conditions because of dual restrictions: the underwater objects are generally smaller, closely spread, and disposed to obstruction features, and underwater embedding tools have temporary storing and computation abilities. …”
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A Novel Hybrid Deep Learning Framework for Evaluating Field Evapotranspiration Considering the Impact of Soil Salinity by Yao Rong, Weishu Wang, Peijin Wu, Pu Wang, Chenglong Zhang, Chaozi Wang, Zailin Huo

“…Abstract Accurate evaluation of evapotranspiration (ET) is crucial for efficient agricultural water management. Data‐driven models exhibit strong predictive ET capabilities, yet significant limitations like naive extrapolation hamper wider generalization. …”
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DMoC-UNet: A Dynamic Mixture-of-Convolution Network for Enhanced Pathological Image Segmentation by Jingwei Zhu, Lining Qin, Zixin Teng, Xiaomin Li, Kuiwu Li, Haoran Chu

“…Haar wavelet downsampling preserves spatial details while improving multi-scale representation, and the DAF modules facilitate efficient fusion between shallow and deep features, ensuring semantic consistency. …”
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Soil moisture variation and affecting factors analysis in the Zhangjiakou–Chengde district based on modified temperature vegetation dryness index by Jintao Zheng, Xiaomei Jin, Qing Li, Jie Lang, Xiulan Yin

“…The results indicate that soil moisture generally fluctuated during 2001–2021. Six phases were identified. …”
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Surveying Nearshore Bathymetry Using Multispectral and Hyperspectral Satellite Imagery and Machine Learning by David Hartmann, Mathieu Gravey, Timothy David Price, Wiebe Nijland, Steven Michael de Jong

“…Traditional bathymetry mapping techniques of ship-sounding and airborne LiDAR are laborious, expensive and not always efficient. Multispectral and hyperspectral remote sensing, in combination with machine learning techniques, are gaining interest. …”
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L’élevage de ruminants s’adaptera-t-il au changement climatique ? Impacts et leviers d’adaptation by Aurélie MADRID, Renée DE CRÉMOUX, Luc DELABY, Hélène LARROQUE, Sandra NOVAK, Aurélie VINET

“…Les voies d’adaptation pour répondre à cette problématique sont diverses et complémentaires : adapter l’animal en améliorant sa tolérance à la chaleur et de façon générale son efficience, sa robustesse et sa résilience ; améliorer ses conditions de vie au pâturage et en bâtiment ; et assurer l’équilibre du système fourrager en jouant sur l’offre via la diversification et la complémentarité des ressources fourragères, et la demande (les besoins des animaux) en ajustant le chargement et la conduite des troupeaux pour faire coïncider les besoins avec la saisonnalité des prairies. …”
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Tomato Yield Estimation Using an Improved Lightweight YOLO11n Network and an Optimized Region Tracking-Counting Method by Aichen Wang, Yuanzhi Xu, Dong Hu, Liyuan Zhang, Ao Li, Qingzhen Zhu, Jizhan Liu

“…An improved lightweight YOLO11n network was employed for tomato detection and semantic segmentation, which was combined with the C3k2-F, Generalized Intersection over Union (GIoU), and Depthwise Separable Convolution (DSConv) modules. …”
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A fine-tuned convolutional neural network model for accurate Alzheimer’s disease classification by Muhammad Zahid Hussain, Tariq Shahzad, Shahid Mehmood, Kainat Akram, Muhammad Adnan Khan, Muhammad Usman Tariq, Arfan Ahmed

“…Timely intervention and efficient control of the disease prove to be possible through early diagnosis. …”
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HAD-YOLO: An Accurate and Effective Weed Detection Model Based on Improved YOLOV5 Network by Long Deng, Zhonghua Miao, Xueguan Zhao, Shuo Yang, Yuanyuan Gao, Changyuan Zhai, Chunjiang Zhao

“…Future efforts will involve collecting more weed data from various agricultural field scenarios to validate and enhance the generalization capabilities of the HAD-YOLO model.…”
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Comparison of Machine Learning Models for Real-Time Flow Forecasting in the Semi-Arid Bouregreg Basin by Fatima Zehrae Elhallaoui Oueldkaddour, Fatima Wariaghli, Hassane Brirhet, Ahmed Yahyaoui, Hassane Jaziri

“…This research opens new avenues for the application of ML techniques in water resource management and suggests that these methods could be generalized to other basins in Morocco, promoting efficient, effective, and integrated water resource management strategies.…”
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DVCW-YOLO for Printed Circuit Board Surface Defect Detection by Pei Shi, Yuyang Zhang, Yunqin Cao, Jiadong Sun, Deji Chen, Liang Kuang

“…The accurate and efficient detection of printed circuit board (PCB) surface defects is crucial to the electronic information manufacturing industry. …”
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DEDANet: Mountainous Cropland Extraction From Remote Sensing Imagery With Detail Enhancement and Distance Attenuation by Liang Huang, Zixuan Zhang, You Yu, Bo-Hui Tang

“…Furthermore, ablation studies and cross-regional validations on the high-resolution cropland non-agriculturalization and iFLYTEK datasets verify the model’s robust generalization ability, thereby offering an efficient and scalable technical solution for refined cropland management in mountainous regions.…”
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Towards Real-Time Spatial Distance Monitoring of Power Transmission Lines Using LiDAR Point Clouds and Visual Imaging by Li Zhendong, Wang Feiran, Han Geng, Guo Xinyang, Shi Zhaoyang

“… INTRODUCTION: Efficient monitoring of power transmission lines is paramount to grid safety, clearance violation prevention, and uninterrupted supply of electricity. …”
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Can urban compactness improve ecosystem services: Evidence from Chinese urban agglomerations by Xuewei Zhang, Jiahui Wu, Jintao Yuan, Wanxu Chen

“…The construction of compact cities has been proposed to effectively avoid a series of ecological, environmental, and socioeconomic issues caused by extensive and sprawling urban development while establishing an efficient and resource-saving urban development mode. …”
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Water Vapor Correction in Measurements of Aerosol Backscatter Coefficients Using a 910 nm Vaisala CL51 Ceilometer by Jiarui Chen, Xiaoyue Zeng, Siwei Li, Ge Song, Shuangliang Li

“…Although the median error remains slightly above the generally acceptable level, the improvement is nonetheless evident and meaningful. …”
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MDFT-GAN: A Multi-Domain Feature Transformer GAN for Bearing Fault Diagnosis Under Limited and Imbalanced Data Conditions by Chenxi Guo, Vyacheslav V. Potekhin, Peng Li, Elena A. Kovalchuk, Jing Lian

“…In industrial scenarios, bearing fault diagnosis often suffers from data scarcity and class imbalance, which significantly hinders the generalization performance of data-driven models. While generative adversarial networks (GANs) have shown promise in data augmentation, their efficacy deteriorates in the presence of multi-category and structurally complex fault distributions. …”
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