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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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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Programming‐Assisted Imaging of Cellular Nitric Oxide Efflux Gradients and Directionality via Carbon Nanotube Sensors by Ivon Acosta Ramirez, Sruti Das Choudhury, Carley Conover, Omer Sadak, Nicole M. Iverson

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Individual ZnO–Ag Hybrid Nanorods for Synergistic Fluorescence Enhancement Towards Highly Sensitive and Miniaturized Biodetection by Marion Ryan C. Sytu, Jong-in Hahm

“…Hybrid nanostructures can be engineered to exhibit superior functionality beyond the level attainable from each of the constituent nanomaterials by synergistically integrating their unique properties. …”
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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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High-Voltage CVT Fault Diagnosis Based on Effective Data Recognition and Multi-dimensional Information Fusion by Huishan ZHANG

“…In view of the poor identification of the effective data in online monitoring of high-voltage capacitor voltage transformer (CVT), this paper proposes a method for effective data identification based on the analysis of data correlation coefficients, with utilization of the data characteristics that multiple online monitoring data sources exhibit linear correlation. To address the prevalent problem in current high-voltage CVT fault diagnosis, such as limited information sources, poor accuracy, and significant interference in partial discharge devices leading to compromised fault signal detection and accuracy, a fault diagnosis method based on multi-dimensional information fusion is proposed. …”
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Baseline levels of microplastics in agricultural soils obscure the effects of additional microplastics from recycled fertilizers by Collin J. Weber, Dominika Kundel, Andreas Fliessbach, Else K. Bünemann, Moritz Bigalke

“…Whilst it was observed from the fluxes that digestate can be a substantial source of microplastics to soils, the comparatively short time of application and the high background at our investigated sites leads to a obscured effect where digestate inputs serve a limited function.…”
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An Improved Fitting Method for Predicting the Zernike Coefficient–Wavelength Curves by Fang Wang, Qiyuan Zhang, Haoyu Wang, Dayong Zhu, Huaikang Zhu, Wenxin Jia, Sen Han

“…Broadband transmitted wavefront measurement is a detection method that uses transmitted wavefronts at a few specific wavelengths though a function of Zernike coefficients and wavelength to predict other transmitted wavefronts at any wavelength within a certain range. …”
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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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The influence of genetics on the endocannabinoid system gene expression and relevance for targeting reproductive conditions by Keisuke Tanaka, Akwasi A. Amoako, Sally Mortlock, Peter A. W. Rogers, Sarah J. Holdsworth-Carson, Jacqueline F. Donoghue, Wan Tinn Teh, Grant W. Montgomery, Brett McKinnon

“…Abstract Background Endocannabinoids are small lipid molecules that have critical roles in cellular proliferation and function. They are produced locally with their concentrations controlled via the endocannabinoid system (ECS). …”
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Multiwavelength Constraints on the Local Black Hole Occupation Fraction by Colin J. Burke, Priyamvada Natarajan, Vivienne F. Baldassare, Marla Geha

“…We also constrain the extremely low-luminosity end ( L _bol ≲ 10 ^40 erg s ^−1 ) of the active galactic nucleus (AGN) luminosity functions at z = 0. Our AGN luminosity functions are broadly consistent with an extrapolation of the shallow slope of the AGN luminosity functions from previous work.…”
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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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MergeBot: A platform of semi-structured merge conflict resolution for C/C++ code by Hua He, Xiaofan Liu, Lei Xu, Guanghui Mei, Jifeng Xuan

“…In software version control systems, like Git, merge conflicts typically arise when multiple developers edit the same segment of a source file from different branches. Detecting merge conflicts can be automated; however, resolving merge conflicts is tedious and demanding. …”
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Identification of multiple power quality disturbances in hybrid microgrid using deep stacked auto-encoder based bi-directional LSTM classifier by Ravi Kumar Jalli, Lipsa Priyadarshini, P.K. Dash, Ranjeeta Bisoi

“…In recent years microgrid technology has created widespread interest for the integration of renewable energy sources into main utility grid to supply clean energy to the end users. …”
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Pseudogene BNIP3P1 Regulates H. pylori–Induced Apoptosis in Gastric Mucosal by Acting on the miR-411-5p/BNIP3 Axis by Andong Zhang, Xin Yan, Ningzhe Li, Shiying Yan, Shu Li, Hua Yang, Yimeng Liu, Jian Zhang, Jia Wang, Jian Zhao, Mei Cao

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Glowing Green: A Quantitative Analysis of Photoluminescence in Six North American Bat Species by Briana J. Roberson, Santiago Perea, Daniel DeRose‐Broeckert, Steven B. Castleberry

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An Empirical Framework Characterizing the Metallicity and Star-formation History Dependence of X-Ray Binary Population Formation and Emission in Galaxies by Bret D. Lehmer, Erik B. Monson, Rafael T. Eufrasio, Amirnezam Amiri, Keith Doore, Antara Basu-Zych, Kristen Garofali, Lidia Oskinova, Jeff J. Andrews, Vallia Antoniou, Robel Geda, Jenny E. Greene, Konstantinos Kovlakas, Margaret Lazzarini, Chris T. Richardson

“…We present a new empirical framework modeling the metallicity and star formation history (SFH) dependence of X-ray luminous ( L ≳ 10 ^36 erg s ^−1 ) point-source population X-ray luminosity functions (XLFs) in normal galaxies. …”
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Specific performance of IDT edge fingers by E. DANICKI, T, GAFKA

“…The theory shows that the edge strips of the system works differently as compared with these positioned inside the system. The familiar δ-function model however, can still be applied provided that the δ-sources of SAW are properly scaled and shifted from their position at the centres of the strips. …”
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The Ultrastructure of Olfactory Sensilla Across the Antenna of <i>Monolepta signata</i> (Oliver) by Jiyu Cao, Wanjie He, Huiqin Li, Jiangyan Zhu, Xiaoge Li, Jiahui Tian, Mengdie Luo, Jing Chen

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Texture-preserving and information loss minimization method for infrared and visible image fusion by Qiyuan He, Yongdong Huang

“…TPFusion consists of the following key components: a multi-scale feature extraction module for enhancing the capability of capturing features; a texture enhancement module and contrast enhancement module, which helps to preserve fine-grained textures and extract salient contours and contrast information; a dual-attention fusion module for fusing the features extracted from the source images; an information content based loss function minimizing the feature discrepancy between the fused images and the source images and effectively reducing the information loss. …”
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