About the Dependence of Breakthrough Curves on Flow Direction in Column Experiments of Transport across a Sharp Interface Separating Different Porous Materials by Francesca Giacobbo, Mauro Giudici, Mirko Da Ros

“…Conservative transport experiments with layered porous materials (coarse-grained vs. fine-grained) were performed through experimental cylindrical columns to assess the possible occurrence of interface processes at the discontinuity between media with different hydrodynamic and hydrodispersive properties, as proposed by some authors in the past based on modelling and experimental results. …”
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Assessing the risk of soil salinization in an intensively irrigated area of Pakistan by Zunaira Maab, Wouter Julius Smolenaars, Muhammad Khalid Jamil, Hester Biemans

“…This model combines several spatial layers of drivers and risk factors to provide a high-resolution Combined Salinization Risk Indicator. …”
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Advanced GIS-based Multi-Function Support System for Identifying the Best Route by Suhiar Mohammed Zeki Abd Alsammed

“…One of the main merits of this model is to be faster by removing the influence of non-processed data like null values and unlinked roads on offline google maps levels. …”
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Multilayer Network-Based Evaluation of the Efficiency and Resilience of Network Flows by András Rácz-Szabó, Tamás Ruppert, János Abonyi

“…We can classify these flows based on whether they perform value-added or nonvalue-added activities in our process. The aim of this article is to present a multilayered temporal network-based model for the analysis of network flows in supply chain optimization and resource allocation. …”
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Removal of Rhodamine B from aqueous solutions using coffee residual by Choong Jeon, Moo Joon Shim

“…According to the isothermal adsorption equation, RhB adsorption onto CR@Fe3O4 takes place in both mono and multi layers. The RhB adsorption process in aqueous solution employing CR@Fe3O4 was better suited for the pseudo-second-order model, indicating that chemisorption regulated the adsorption process. …”
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“Medical Men in the New Age”: Alice Bailey’s Impact on Contemporary Energy Healing by Dominic S. Zoehrer

“…Energy healing refers to a globalising market of healing rituals that aim to stimulate the clients’ self-healing process. In the context of healing, the term ‘energy’ has multi-layered meanings and may denote physical, psychological, social, as well as spiritual principles of restoring well-being. …”
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Application of the magnetotelluric method in geothermal exploration in Jianshi county, Hubei province, China by Peng Simeng, Xie Xingbing, Zhang Lianqun, Rao Song, Zhou Lei, Lu Chuyang, Li Yuxi

“…The Magnetotelluric (MT) sounding method, which is not shielded by high-resistance layers and provides high resolution for low-resistance layers, has unique advantages in revealing geothermal system structures, delineating hydrothermal geoelectric structures, and assessing the development potential of geothermal regions. …”
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Deep learning for air pollution detection: Analyzing scots pine needles with SEM/EDS by Mirosław Szwed, Witold Żukowski, Dariusz Pasieka

“…What was used to build the model, were scanning electron microscopy images of two-year-old needles of Pinus sylvestris L. …”
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Forest classification and carbon stock estimation with integration of airborne LiDAR and satellite Gaofen-6 data in a subtropical region by Ruoqi Wang, Dengsheng Lu, Guiying Li, Yisa Li, Wenjing Liu

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Multimodal data deep learning method for predicting symptomatic pneumonitis caused by lung cancer radiotherapy combined with immunotherapy by Mingyu Yang, Jianli Ma, Chengcheng Zhang, Liming Zhang, Jianyu Xu, Shilong Liu, Jian Li, Jiabin Han, Songliu Hu

“…This process was repeated five times, and the results from these iterations were aggregated to compute the average values of performance metrics, thereby assessing the overall performance and stability of the model.ResultsThe multimodal fusion model developed in this research, which incorporated depth image characteristics, radiomics properties, and clinical data, demonstrated an AUC of 0.922 (95% CI: 0.902-0.945, P value < 0.001). …”
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Mixture-of-experts graph transformers for interpretable particle collision detection by Donatella Genovese, Alessandro Sgroi, Alessio Devoto, Samuel Valentine, Lennox Wood, Cristiano Sebastiani, Simone Scardapane, Monica D’Onofrio, Stefano Giagu

“…However, while Graph Neural Networks excel in predictive accuracy, their “black box” nature often limits their explainability, making it difficult to trust their decision-making processes. In this paper, we propose a novel approach that combines a Graph Transformer model with Mixture-of-Expert layers to achieve high predictive performance while embedding explainability into the architecture. …”
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RUL Prediction of Rolling Bearings Based on Fruit Fly Optimization Algorithm Optimized CNN-LSTM Neural Network by Jiaping Shen, Haiting Zhou, Muda Jin, Zhongping Jin, Qiang Wang, Yanchun Mu, Zhiming Hong

“…In addition, introducing FOA enables the model to dynamically adjust the hidden layers and thresholds while optimizing the optimal path, thereby finding the best solution. …”
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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

“…This pilot study develops a process to evaluate in-situ defect detection and self-healing in Ti-6Al-4V fabricated using laser-based powder bed fusion. …”
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Optimized Multi-Modal Conformer-Based Framework for Continuous Sign Language Recognition by Neena Aloysius, Geetha M, Prema Nedungadi

“…Efficient ConSignformer integrates video embeddings from dual-modal CNN pipelines that process heatmaps and RGB videos, along with temporal learning layers tailored for each modality. …”
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Identification of Environmental Determinants Involved in the Distribution of Burkholderia pseudomallei in Southeast Asia using MaxEnt software. by Jose Francis V Abrantes, Zenn Ashley P Cariño, Hozeo Luis S Mercado, Fatima N Vicencio, Gio Ray S Sosa, Miguel Angelo M Habaña, Nikki Heherson A Dagamac

“…The potential map showing the environmental layers was processed by ArcGIS, and the prediction for the probability of habitat suitability using MaxEnt software (version 3·4·4) and ENMeval R-based modeling tools was utilized to generate the distribution map with the best-fit model. …”
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Study on the Dynamic Instability Mechanism of the Rock Formation in the Multifault Structure Zone of the Stope by Hanxiao Guo, Weijian Yu, Yong Liu, Zongtang Zhang, Xiangtao Kang

“…In this model, there is a synergy between the fault layers, and the maximum value of stress concentration is diagonally distributed. …”
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Fault Detection and Diagnosis in Air-Handling Unit (AHU) Using Improved Hybrid 1D Convolutional Neural Network by Prince, Byungun Yoon, Prashant Kumar

“…The advantages of the LSTM model and convolutional layers are combined to identify significant patterns in the input data, which considerably facilitates the detection of AHU defects. …”
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Numerical Simulation of Artificial Recharge Groundwater Effect on Overlying Soft Clay Compression Control by Chenghua Xu, Dandan Yu, Gang Liu, Zujiang Luo, Zhao Li

“…Soil deformation is prone to occur in the process of the foundation pit dewatering. A large number of metro existing tunnels are located in soft soil layers. …”
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Research on injection molded parts defect detection algorithm based on multiplicative feature fusion and improved attention mechanism by Rongnan Zhang, Yang Li, Zhiguang Guan

“…To enhance the accuracy of defect detection in injection molded parts, a new method called MRB-YOLO, based on the YOLOv8 model, has been proposed. This method introduces several key improvements: (1) the MAFHead, a four-detection head based on multiplicative feature fusion, which replaces the original detection head to enhance feature representation; (2) the RepGFPN-SE module, a re-parameterized generalized feature pyramid network that improves detection of small objects by replacing the original C2f. module; (3) and the BiNorma module, employing a bi-level routing attention mechanism to optimize the training process by reducing input distribution changes across layers. …”
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The Comparison and Selection of a Warm Mix Agent for Asphalt Based on Fuzzy Hierarchical Analysis by Haowu Wang, Shengkai Sun, Sen Hu

“…Three warm mix agents were selected for market research and indoor testing. And the evaluation model was applied to process the data. The calculation results show that the technical indicators have the greatest influence, with a weight proportion of 0.493; WM-2 had the best comprehensive evaluation, with a comprehensive score of 0.96, and its optimal mixing amount was 0.3%. …”
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