Rethinking feature representation and attention mechanisms in intelligent recognition of leaf pests and diseases in wheat by Yuhan Zhang, Dongsheng Liu

“…RReNet captures key information more efficiently by focusing on complex pest and disease characteristics and fusing multi-semantic feature information. …”
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Micro- and Nano-Plastics in Drinking Water: Threat or Hype? Critical State-of-the-Art Analysis of Risks and Approaches by Andrea G. Capodaglio

“…MP decomposition generates smaller nanoplastics (NPs) with different properties, closer to engineered nanoparticles than to MP. Their detection is more complex and laborious than MP’s, and, as such, their fate and effects are still poorly studied. …”
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GCF-DeepLabv3+: An Improved Segmentation Network for Maize Straw Plot Classification by Yuanyuan Liu, Jiaxin Zhang, Yueyong Wang, Yang Luo, Pengxiang Sui, Ying Ren, Xiaodan Liu, Jun Wang

“…An improved GCF-DeepLabv3+ model was utilized for detecting straw coverage types. The model incorporates StarNet as its backbone, reducing parameter count and computational complexity. …”
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Spectrophotometric Determination of N-Acetyl-L-Cysteine and N-(2-Mercaptopropionyl)-Glycine in Pharmaceutical Preparations by Lea Kukoc-Modun, Njegomir Radić

“…Regression analysis of the calibration data showed a good correlation coefficient (0.9999). The detection limit of the method was 0.14 μM for NAC and 0.13 μM for MPG. …”
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Overall architecture design of row/column scanning silicon-based focal plane switch array LiDAR transmitter system by Yu Wang, Yue Wang, Zeyang Zhang, Hang Cheng, Yuanhui Li, Guohui Yang, Kuang Zhang, Chunhui Wang

“…This architecture allows each optical path to control multiple grating couplers for simultaneous transmission, integrating both time-domain and spatial detection to enhance system detection efficiency and accuracy. …”
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Mapping the Global Public Health Intelligence Landscape, 2023 by Mrs Alba Mendez Brito, Mrs Romy Kerber, Dr Angela Fehr, Mrs Sarah Esquevin, Dr Andreas Jansen, Dr Carlos L Correa-Martínez

“…Introduction: Public health intelligence (PHI) is becoming increasingly crucial for early threat detection, leveraging efficient identification and information exchange. …”
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Highly customizable, ultrawide-temperature free-form flexible sensing electronic systems based on medium-entropy alloy paintings by Weiwei Li, Yingzhe Li, Manzhang Xu, Yilin Zhou, Ruoyan Miao, Kexin Wang, Yunqiang Cao, Yizhong Song, Siying Dang, Lu Zheng, Xuewen Wang, Wei Huang

“…Abstract High-performance flexible sensing electronics on complex surfaces operating across broad temperatures are critical for aerospace and industrial applications. …”
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Defect intelligent recognition of membrane product based on deep learning by Maonian Wu, Ling Li, Wei Peng, Tao Wu, Jinwei Yu, Bo Zheng, Shaojun Zhu

“…This enhances the recognition accuracy of bounding boxes, ensuring that the model maintains high detection accuracy even after complex scenarios. Moreover, the proposed methodology exhibits broad applicability across a wide spectrum of prevalent defect detection paradigms. …”
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A Novel Framework for Whole-Slide Pathological Image Classification Based on the Cascaded Attention Mechanism by Dehua Liu, Bin Hu

“…Automated models can rapidly and accurately process large datasets, revolutionizing tumor detection and classification. However, existing methods often rely on single attention mechanisms, failing to fully exploit the complexity of pathological images, especially in extracting critical features from whole-slide images. …”
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JET: Fast Estimation of Hierarchical Time Series Clustering by Phillip Wenig, Mathias Höfgen, Thorsten Papenbrock

“…In this paper, we propose JET, an unsupervised, highly efficient clustering algorithm for large numbers of variable-lengths time series. …”
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Optimised Extension of an Ultra-Low-Power RISC-V Processor to Support Lightweight Neural Network Models by Qiankun Liu, Sam Amiri

“…With the increasing demand for efficient deep learning models in resource-constrained environments, Binary Neural Networks (BNNs) have emerged as a promising solution due to their ability to significantly reduce computational complexity while maintaining accuracy. …”
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Text Removal for Trademark Images Based on Self-Prompting Mechanisms and Multi-Scale Texture Aggregation by Wenchao Zhou, Xiuhui Wang, Boxiu Zhou, Longwen Li

“…These mechanisms are capable of efficiently extracting multilevel features and multiscale textual information, which enhances the model’s stability and adaptability in complex scenarios. …”
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Far-field ammonia gas sensing at room temperature with graphene nanoplatelets-infused PEDOT:PSS transparent thin film by Vinod K Ganesan, Chun Hui Tan, Pei Song Chee, Jen Hahn Low, Soon Poh Lee, Eng Hock Lim

“…Widely used in various industrial applications, ammonia poses significant environmental and health risks, emphasizing the need for efficient monitoring. Although traditional gas sensing methods effective, they often constrained by high operating temperatures and complex electronic components, limiting their practicality. …”
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Resolving Non-Proportional Frequency Components in Rotating Machinery Signals Using Local Entropy Selection Scaling–Reassigning Chirplet Transform by Dapeng Quan, Yuli Niu, Zeming Zhao, Caiting He, Xiaoze Yang, Mingyang Li, Tianyang Wang, Lili Zhang, Limei Ma, Yong Zhao, Hongtao Wu

“…Under complex operating conditions, vibration signals from rotating machinery often exhibit non-stationary characteristics with non-proportional and closely spaced instantaneous frequency (IF) components. …”
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LncRNA of peripheral blood mononuclear cells: HYMAI acts as a potential diagnostic and therapeutic biomarker for female major depressive disorder by Tianyi Bu, Jiarun Yang, Jiawei Zhou, Yeran Liu, Kexin Qiao, Yan Wang, Jili Zhang, Erying Zhao, Boakye Kwame Owura, Xiaohui Qiu, Zhengxue Qiao, Yanjie Yang

“…IntroductionAs a common and complex mental disorder, major depressive disorder (MDD) has brought a huge burden and challenges globally. …”
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Absolute quantification of Neuron-specific enolase based on surface plasmon resonance by Cui Lin, Yijie Wang, Tao Peng, Pengpeng Liu, Yuanyuan Liang, Wencheng Kang, Xiaoping Yu, Yang Song, Xuping Shentu

“…However, traditional methods suffer from various disadvantages, including instability, complexity, time-consuming operations, and the necessity for standards. …”
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ETAFHrNet: A Transformer-Based Multi-Scale Network for Asymmetric Pavement Crack Segmentation by Chao Tan, Jiaqi Liu, Zhedong Zhao, Rufei Liu, Peng Tan, Aishu Yao, Shoudao Pan, Jingyi Dong

“…These findings demonstrate the effectiveness of interpretable, multi-scale attention architectures in complex object detection and image classification tasks, making our approach relevant for broader applications, such as autonomous driving, remote sensing, and smart infrastructure systems.…”
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Precision medicine in oncology: role and prospects of mass spectrometry by E. S. Khmelevskaya, E. A. Perina, E. E. Buyko, A. A. Ufandeev, O. A. Kaidash, V. V. Ivanov, A. N. Baikov, E. V. Parochkina, E. V. Udut

“…Mass spectrometry is becoming an indispensable tool in basic and applied research due to its sensitivity, specificity, and accuracy. It allows for efficient analysis of complex biological compounds, even at low concentrations. …”
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Developing an ISO11783-compliant prescription map for variable rate spraying in vineyards based on 3D canopy reconstruction by Björn Poss, Nikos Tsoulias, Galibjon M. Sharipov, Andreas Heiß, Dimitrios S. Paraforos

“…With the advent of the digital era in viticulture and the use of increasingly complex implements from different manufacturers, a standardised communication interface is essential. …”
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Development and validation of a UPLC-MS/MS method for the simultaneous estimation of Ertugliflozin and Sitagliptin in bulk and tablet dosage forms: Assessment of greenness and blue... by Voohitha Manukonda, Santhoshi Priya Dandamudi, Praveen Kumar Kusuma, Gouthami Thumma, Kiran Gangarapu

“…Green analytical chemistry emphasizes the use of energy-efficient instruments, minimization of hazardous substances, and reduction of waste. …”
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