Migration and Transformation of Heavy Metals During the CO₂-Assistant Thermal Treatment of Oily Sludge by Jiantao Li, Fawei Lin, Xuan Guo, Chujun Luan, Hongdi Yu, Rundong Li, Beibei Yan, Guanyi Chen

“…This study explored the migration and transformation of HMs from OS under varying conditions (i.e., temperature, constant-temperature duration time, and different ratios of O₂ and CO₂). …”
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A Comparative Study of Advanced Oxidation Processes for the Removal of the Antibiotic Sulfadoxine from Water—Transformation Products and Toxicity by Panagiotis A. Bizirtsakis, Kyriaki Anagnostopoulou, Vasilis C. Sarasidis, Panagiota Petsi, Alexandra Moschona, Konstantinos V. Plakas, Dimitra A. Lambropoulou

“…Advanced Oxidation Processes (AOPs) offer promising methods to degrade such pollutants in water, though they may generate more toxic by-products. …”
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Local Auxiliary Spatial–Spectral Decoupling Transformer Network for Cross-Scene Hyperspectral Image Classification by Qiusheng Chen, Zhuoqun Fang, Zhaokui Li, Qian Du, Shizhuo Deng, Tong Jia, Dongyue Chen

“…To overcome this issue, we propose a local auxiliary spatial–spectral decoupling transformer network to ease the learning of global domain-invariant information. …”
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Vision Transformer-Based Unhealthy Tree Crown Detection in Mixed Northeastern US Forests and Evaluation of Annotation Uncertainty by Durga Joshi, Chandi Witharana

“…Forest health monitoring at scale requires high-spatial-resolution remote sensing images coupled with deep learning image analysis methods. However, high-quality large-scale datasets are costly to acquire. …”
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Realizing Decent Work in a "Sandwich" Position: Assessing VET Trainers' Working Conditions in Times of Multiple Transformations by Manuel Nicklich, Marco Blank, Sabine Pfeiffer

“…Although the VET trainers are accustomed to mastering different requirements and interests, in transformative times new challenges arise and intensify the already heavy burden on VET personnel. …”
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Category-Based Sentiment Analysis of Sindhi News Headlines Using Machine Learning, Deep Learning, and Transformer Models by Safdar Ali Soomro, Siti Sophiayati Yuhaniz, Mazhar Ali Dootio, Ghulam Mujtaba, Jawaid Ahmed Siddiqui

“…To evaluate the effectiveness of different machine learning (ML), deep learning (DL), and transformer-based approaches, we conduct a comparative analysis of various models on SA and category classification tasks. …”
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Classification of Skin Lesion With Features Extraction Using Quantum Chebyshev Polynomials and Autoencoder From Wavelet-Transformed Images by Farhatullah, Xin Chen, Deze Zeng, Jiafeng Xu, Rab Nawaz, Rahmat Ullah

“…Leveraging the power of Deep Learning, the proposed model incorporates several pre-processing techniques such as wavelet transformations, pooling methods, and normalization to enhance image clarity and remove extraneous artifacts. …”
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Next generation sequencing reveals the mutation landscape of Chinese MDS patients and the association between mutations and AML transformations by Yu Liu, Huanchen Cheng, Mei Cheng, Meng Sun, Jun Ma, Tiejun Gong

“…Our study aimed to investigate the mutation landscape of Chinese MDS patients and identify the mutated genes which are closely implicated in the transformation of MDS to AML.Methods In total, 412 sequencing data collected from 313 patients were used for analysis. …”
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A Transformer-LSTM-SVR hybrid model for AI-driven emotional optimization in NEV embedded interior systems by Zongming Liu, Xuhui Chen, Xinan Liang, Zhicheng Sun, Fengqi Yang, Wenwen Ou, Linwei Li, Xiayan Qin

“…Furthermore, interpretability analysis reveals key design feature differences among user groups. The proposed method combines a Transformer module, which captures higher-order interactions among multidimensional design parameters (e.g., sentiment evaluation coefficients and task completion time), and a Long Short-Term Memory (LSTM) network, configured to enhance time-series feature capture through adjustments to hidden unit count and sequence length. …”
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From deformation twinning to α'' martensitic transformation in deforming Ti–12Mo alloy with increasing grain size by Y. Wu, L.Y. Chen, Z. Liu, P. Chen, C.Y. Wang, B. Tang, H.C. Kou, J.S. Li

“…Detailed crystallographic analysis reveals that this transition is due to the variation in the formation sequence of α'' martensites in the transformation path. In addition, α'' martensites are evidenced to be a more effective factor inducing excellent strain hardening compared to deformation twins, which is attributed to their dense dispersion in β matrix, high volume fraction, diverse crystallographic variants, and shear modulus different from β phase. …”
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Influence of gold and blue heat treatments on mechanical properties and phase transformation behavior of flat-designed rotary instruments by Anne Rafaella Tenório Vieira, Guilherme Ferreira da Silva, Pablo Andrés Amoroso-Silva, Rodrigo Ricci Vivan, Thaine Oliveira Lima, Maria Carolina Guiotti de Oliveira, Marco Antonio Hungaro Duarte, Murilo Priori Alcalde

“…DSC analysis demonstrated that the gold heat treatment had a higher Af temperature (42.8 °C) compared to the blue treatment (32.2 °C). Conclusion: The different heat treatments impacted in phase transformation temperatures and on the mechanical properties of the instruments. …”
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Finite difference delay modelling for analysis of shielding effectiveness of perforated conductive enclosure by Ali Kalantarnia, Siavash Rajabi, Abdollah Mirzabeigi

“…Time discretization is based on finite differences, and the Laplace‐to‐Z transform mapping is utilized. …”
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A comprehensive review of diffuse reflectance infrared Fourier transform spectroscopy (DRIFTS) techniques in protonic ceramic cells (PCCs): Current status and future perspective by Zixian Wang, Fan Liu, Yuqing Meng, Wenjuan Bian, Haiyan Zhao, Chuancheng Duan, Michael T. Benson, Meng Li, Bin Liu, Dong Ding

“…As a fast and cost-effective method for physicochemical fingerprinting, diffuse reflectance infrared Fourier transform spectroscopy (DRIFTS) has proven to be a surface-sensitive analytical tool for structural and functional studies. …”
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Management and Operation Transformation of Urban Park Green Spaces from the Perspectives of Public Goods Provision and Fiscal Sustainability by Peiyi JIA

“…The research adopts a multi-dimensional analytical approach, combining historical – institutional analysis on the evolution of urban park green spaces, paying attention to the logic and backgrounds of policy-making, as well as relevant policies and regulations across different historical periods, and examining the evolutionary process of policy adjustments and their interplay with shifting societal demands about urban park green space.ResultsThe research delineates the systemic challenges driving the imperative for park governance reform, framed within three transformation shifts. …”
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Multiple Electromechanical-Failure Detection in Induction Motor Using Thermographic Intensity Profile and Artificial Neural Network by Emmanuel Resendiz-Ochoa, Salvador Calderon-Uribe, Luis A. Morales-Hernandez, Carlos A. Perez-Ramirez, Irving A. Cruz-Albarran

“…From the experimental setup, 50 thermographic images were obtained for each state. The method was implemented and tested under different conditions to verify its reliability. …”
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Wavelet-Based ensembled intelligent technique for a better quality of fault detection and classification in AC microgrids by Nityananda Giri, Pravati Nayak, Ranjan Kumar Mallick, Sairam Mishra, Aymen Flah, Habib Kraiem, Lukas Prokop, Mohammad Kanan

“…This research introduces a novel intelligent protection technique for microgrids, leveraging Discrete Wavelet Transform (DWT) and an Ensemble Bagged Decision Tree (EBDT) classifier for precise fault detection and classification across various scenarios. …”
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PCCNN: A CNN classification model integrating EEG time-frequency features for stroke classification by Teng Wang, Fenglian Li, Jia Yang, Wenhui Jia, Fengyun Hu

“…This method accounts for both the intrinsic information content of EEG signals and the inter-class differences between hemorrhagic and ischemic stroke subjects. …”
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Stereo Vision Method Application to Road Inspection by Marcin Staniek

“…The paper presents the stereo vision method for the mapping of road pavement. The mapped road is a set of points in three-dimensional space. …”
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A Noise-Robust, Baseline-Free, and Adaptive Damage Indicator of Plate-like Structures Based on the Multicomponent Information Separation of High-Resolution Mode Shapes Using Wavele... by Yuexin Wang, Tongfa Deng, Jinwen Huang, Maosen Cao, Dragoslav Sumarac

“…The methodology begins with optical dynamic measurement to capture high-resolution mode shapes, followed by two-dimensional continuous wavelet transform (2D-CWT) for multiscale analysis. Adaptive wavelet scale selection via scale correlation analysis (SCA) improves noise separation, and an iterative weighted least squares fitting (IWLSF) method accurately fits the waveform trends. …”
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Method for Calculating Transients in a Gas Pipeline by A. S. Fikov

“…The solution is based on the widely used method of separation of Fourier variables. In order to simplify the calculations, the original differential equation is transformed in such a way that the boundary conditions acquire the property of homogeneity. …”
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