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281
The Host Galaxies of Pulsar Timing Array Sources: Converting Supermassive Black Hole Binary Parameters into Electromagnetic Observables
Published 2025-01-01“…However, the large uncertainty in source localization will make the identification of its host environment challenging. …”
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282
RQdeltaCT: an open-source R package for relative quantification of gene expression using delta Ct methods
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283
Feature selection using a multi-strategy improved parrot optimization algorithm in software defect prediction
Published 2025-04-01“…Finally, to further enhance the classification performance of defect prediction, a heterogeneous data stacking ensemble learning algorithm (HEDSE) based on feature selection is proposed. Experimental evaluations on 16 open-source software defect datasets indicate that the proposed HEDSE outperforms existing methods, providing a novel and effective solution for software defect prediction. …”
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284
MDV ClimEx: An open-source tool for exploring climate anomalies in the McMurdo Dry Valleys of Antarctica
Published 2025-12-01“…Here, we introduce MDV ClimEx, an open-source, interactive web application designed for user-driven exploration of long-term meteorological records from the MDVs. …”
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285
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286
A Lightweight Transformer Model for Defect Detection in Electroluminescence Images of Photovoltaic Cells
Published 2024-01-01“…To ensure solar panels function well, efficient and accurate defect detection of PV modules is essential. …”
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287
Biphoton Waveforms of Photon Pair from Velocity‐Selective Atoms in a Doppler‐Broadened Atomic Ensemble
Published 2025-06-01“…Here, the beat phenomenon in the autocorrelation function of the telecom‐wavelength photon due to the velocity‐selective classes of the atoms in a Doppler‐broadened atomic ensemble of the cascade‐type 5S1/2–5P3/2–4D5/2 transition of 87Rb is reported. …”
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288
Location- and feature-based selection histories make independent, qualitatively distinct contributions to urgent visuomotor performance
Published 2025-06-01“…Although less well studied, selection history, which reflects multiple facets of experience with recent events, is increasingly recognized as a distinct source of attentional bias. …”
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289
Neural Posterior Estimation for Cataloging Astronomical Images with Spatially Varying Backgrounds and Point Spread Functions
Published 2025-01-01“…In experiments with semisynthetic images, we evaluate the method on key cataloging tasks: light source detection, star/galaxy separation, and flux measurement. …”
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290
Determining role of thymus in immune pathogenesis of autoimmune, oncological and infectious diseases
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291
Determination of selection criteria for yield traits to improve okra (Abelmoschus esculentus L. Moench) breeding in Indonesia
Published 2025-03-01“…Moench, commonly known as okra, is increasingly cultivated in Indonesia due to its recognition as a functional food source. Current efforts in breeding new okra varieties are focused on high productivity, yet minimal information is available regarding selection criteria. …”
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292
Synthesis and properties of carbon quantum dots as an antimicrobial agent and detection of ciprofloxacin
Published 2025-08-01“…This study introduces a novel approach for the fabrication of N-CQDs derived from natural botanical sources, underscoring their potential dual functionality as fluorescent sensors and antimicrobial materials.…”
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293
scikit-fda: A Python Package for Functional Data Analysis
Published 2024-05-01“…In particular, it conforms to the scikit-learn application programming interface so as to take advantage of the functionality for machine learning provided by this package: Pipelines, model selection, and hyperparameter tuning, among others. …”
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294
The Bright Feature Transform for Prominent Point Scatterer Detection and Tone Mapping
Published 2025-03-01“…We then modify the BFT to present a difference of trigonometric functions to mitigate speckle scatterers and other random noise sources found in the imagery. …”
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295
Assessing the stability of indoor farming systems using data outlier detection
Published 2025-03-01“…The residual analysis highlighted that outliers could be attributed to potential issues such as sensor noise, drift, or other sources of uncertainty in data collection. Across different trials, the system displayed varying degrees of resistance to cumulative Agr.Ops, with some trials showing increased resilience over time.DiscussionThe alternative decomposition method used effectively identified outliers and provided valuable insights into the functionality of the system under different operational loads. …”
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296
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297
Enhancing the power quality in radial electrical systems using optimal sizing and selective allocation of distributed generations.
Published 2024-01-01“…Accordingly, a proposed configuration system is shown in this work to inject multiple renewable energy sources (MRES) from selected regulated nodes. The feasibility of the proposed system is evaluated using particle swarm optimization (PSO), which was used to locate stable nodes and locations, sensitive to voltage fluctuations. …”
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298
A Three-Dimensional Complex Measurement Model-Based Avionic Radio-Frequency Power Source Health Assessment Method
Published 2020-01-01“…According to the function and structure characteristics of radio-frequency power source, the health characterization parameters are then obtained and the health assessment parameter system is established. …”
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299
Identification of resistance sources and genomic regions regulating Septoria tritici blotch resistance in South Asian bread wheat germplasm
Published 2025-03-01“…Therefore, dissection of the genetic architecture of adult‐plant resistance with genome‐wide association mapping and selection of resistant sources for adult plant STB resistance were carried out on a panel of South Asian germplasm. …”
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300
Vulnerability detection method for blockchain smart contracts based on metamorphic testing
Published 2023-10-01“…Aimed at the defects of existing test methods, a vulnerability detection method for blockchain smart contracts based on metamorphic testing was proposed, which could generate test cases for specific functions in blockchain smart contracts to detect possible vulnerabilities.According to the possible security vulnerabilities, different metamorphosis relationships were designed and then metamorphic testing was performed.Through verifying whether the metamorphic relationship between the source test case and the subsequent test case was satisfied, whether the smart contract had related security vulnerabilities was judged.The experimental results show that the proposed method can effectively detect the security vulnerabilities in the smart contracts.…”
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