Research on Multipoint Leak Location of Gas Pipeline Based on Variational Mode Decomposition and Relative Entropy by Yongmei Hao, Zhanghao Du, Juncheng Jiang, ZhiXiang Xing, Xinming Yan, Shuli Wang, Yongchao Rao

“…Pipeline leak detection has always been a relatively difficult technical problem; especially in urban pipeline leak detection, there are still many problems to be solved. …”
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Learning Transferable Convolutional Proxy by SMI-Based Matching Technique by Wei Jin, Nan Jia

“…The classification responses are also smoothened by manifolds of both the source domain and proxy space. By minimizing an objective function of SMI, classification error, and manifold regularization, we learn the convolutional networks of both source and target domains. …”
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Multimodal learning for enhanced SPECT/CT imaging in sports injury diagnosis by Zhengzheng Jiang, YaWen Shen

“…IntroductionSingle-photon emission computed tomography/computed tomography (SPECT/CT) imaging plays a critical role in sports injury diagnosis by offering both anatomical and functional insights. However, traditional SPECT/CT techniques often suffer from poor image quality, low spatial resolution, and limited capacity for integrating multiple data sources, which can hinder accurate diagnosis and intervention.MethodsTo address these limitations, this study proposes a novel multimodal learning framework that enhances SPECT/CT imaging through biomechanical data integration and deep learning. …”
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Melatonin: A Novel Indolamine in Oral Health and Disease by V. K. Chava, K. Sirisha

“…Recent studies, by Claustrat et al. (2005), detected few extrapineal sources of melatonin like retina, gastrointestinal tract, and salivary glands. …”
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Two rare cases of severe community-acquired bloodstream infections: a clinical case report by Li-Na Meng, Gang Li

“…Detailed medical history inquiries, assessment of underlying immune status, detection of the source of infection, and initial precise identification and treatment of the infectious agents can improve the prognosis of CABSI.Case descriptionIn this paper, two incidences of severe CABSI with insidious onset and rapid progression are described. …”
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Feature Extraction and Classification of Power Quality Disturbances Using Optimized Tunable-Q Wavelet Transform and Incremental Support Vector Machine by Indu Sekhar Samanta, Pravat Kumar Rout, Kunjabihari Swain, Satyasis Mishra, Murthy Cherukuri

“…The widespread integration of renewable energy sources (RESs) into power systems using power electronics-based interface devices has led to a substantial rise in power quality (PQ) issues. …”
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Energy filtering enables macromolecular MicroED data at sub-atomic resolution by Max T. B. Clabbers, Johan Hattne, Michael W. Martynowycz, Tamir Gonen

“…While direct electron detection essentially eliminates the read-out noise during MicroED data collection, other sources of noise remain and limit the measurement of faint high-resolution reflections. …”
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Properties of financial potential as economic analysis object by O.M. Dzyubenko

“…The article substantiates the importance of financial potential because it is also considered one of the factors that determines the success of an enterprise. The article considers the properties of financial potential from the point of view of functional orientation, classification features and principles. …”
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pytom-match-pick: A tophat-transform constraint for automated classification in template matching by Marten L. Chaillet, Sander Roet, Remco C. Veltkamp, Friedrich Förster

“…However, TM faces challenges of weak signal of the macromolecules and interfering features with a high signal-to-noise ratio, which are often addressed by time-consuming, subjective manual curation of results. To improve the detection performance we introduce pytom-match-pick, a GPU-accelerated, open-source command line interface for enhanced TM in cryo-ET. …”
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Targeting Antibodies to Carbon Nanotube Field Effect Transistors by Pyrene Hydrazide Modification of Heavy Chain Carbohydrates by Steingrimur Stefansson, Hena H. Kwon, Saeyoung Nate Ahn

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Gene-Environment Interactions in Stress Response Contribute Additively to a Genotype-Environment Interaction. by Takeshi Matsui, Ian M Ehrenreich

“…To shed light on this problem, we genetically dissected an environment-specific poor growth phenotype in a cross of two budding yeast strains. This phenotype is detectable when certain segregants are grown on ethanol at 37°C ('E37'), a condition that differs from the standard culturing environment in both its carbon source (ethanol as opposed to glucose) and temperature (37°C as opposed to 30°C). …”
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Unraveling the complexities: morpho-physiological and proteomic responses of pearl millet (Pennisetum glaucum) to dual drought and salt stress by Charlie Sithole, Rotondwa Rabelani Sinthumule, Joseph Lesibe Gaorongwe, Oziniel Ruzvidzo, Tshegofatso Bridget Dikobe

“…Catalytic and binding activities were the predominant molecular functions detected across treatments suggesting their central role in stress response. …”
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ParticleHolography.jl: Holographic particle measurement in Julia by Dai Nakai, Yohsuke Tanaka

“…This comprehensive software provides an end-to-end processing pipeline encompassing a wide range of functionalities: preprocessing, including background removal and camera calibration; three-dimensional reconstruction through diffraction calculations; particle analysis, including detection and tracking; and result visualization. …”
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mbctools: A User-Friendly Metabarcoding and Cross-Platform Pipeline for Analyzing Multiple Amplicon Sequencing Data across a Large Diversity of Organisms by Barnabé, Christian, Sempéré, Guilhem, Manzanilla, Vincent, Millan, Joel Moo, Amblard-Rambert, Antoine, Waleckx, Etienne

“…It provides functions for various tasks such as dereplication, clustering, chimera detection, and taxonomic assignment. …”
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A Benzimidazole-Based Fluorescent Probe for the Selective Recognition of Cobalt (II) Ions by Jing Zhu, Hua-Fen Wang, Jia-Xiang Zhang, Man Wang, Yu-Wei Zhuang, Zhi-Guang Suo, Ye-Wu He, Yan-Chang Zhang, Min Wei, Hai-Yan Zhang

“…However, excessive cobalt intake can cause health issues. Detecting cobalt ions, especially Co²⁺, in food is crucial due to potential contamination from various sources. …”
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Milk phenomics: leveraging biological bonds with blood and infrared technologies for evaluating animal nutritional and health status by Diana Giannuzzi, Chiara Evangelista, Angela Costa, Giuseppe Conte, Gianluca Neglia, Umberto Bernabucci, Stefano Schiavon, Marcello Mele, Alessio Cecchinato

“…Indeed, monitoring the nutritional and health status becomes paramount, aiming for an early detection of (sub)clinical health impairments. Given the mammary gland’s centrality in high-yielding dairy breeds, it’s unsurprising that the milk matrix provides insights about udder itself but also systemic metabolic function. …”
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Quantifying Streambed Grain Size, Uncertainty, and Hydrobiogeochemical Parameters Using Machine Learning Model YOLO by Yunxiang Chen, Jie Bao, Rongyao Chen, Bing Li, Yuan Yang, Lupita Renteria, Dillman Delgado, Brieanne Forbes, Amy E. Goldman, Manasi Simhan, Morgan E. Barnes, Maggi Laan, Sophia McKever, Z. Jason Hou, Xingyuan Chen, Timothy Scheibe, James Stegen

“…Abstract Streambed grain sizes control river hydro‐biogeochemical (HBGC) processes and functions. However, measuring their quantities, distributions, and uncertainties is challenging due to the diversity and heterogeneity of natural streams. …”
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Editorial by Teddy Surya Gunawan

“…Notably, identifying Rhizopus sp. fungi as an alternative lactic acid source and the ozonation of vegetable oils underscore efforts toward environmentally friendly biochemical processes. …”
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Harnessing evanescent photoacoustic waves for multi-domain imaging by Rong Zhou, Liying Zhang, Beibei Li, Jingtao Xiao, Yiheng Xing, Chang Chen, Yuecheng Shen, Hao Shen, Deng Pan, Hongxing Xu

“…Leveraging these features, we develop a proof-of-concept for supercritical angle photoacoustic microscopy (SA-PAM), which utilizes evanescent PA waves to enable new PAM functionalities, such as surface topography reconstruction and edge detection. …”
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Bearing Small Sample Fault Diagnosis based on Data Generation and Transfer Learning by Dinghui Wu, Qin Fang, Chuyi Wu

“…Aiming at the problem of limited fault diagnosis performance caused by a single source of historical operating data for wind turbine bearings and a small amount of data， a small sample fault diagnosis method of bearings based on data generation and transfer learning is proposed. …”
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