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  1. 1141
    por Sun, Delin, Rakesh, Gopalkumar, Haswell, Courtney C., Logue, Mark, Baird, C. Lexi, O’Leary, Erin N., Cotton, Andrew S., Xie, Hong, Tamburrino, Marijo, Chen, Tian, Dennis, Emily L., Jahanshad, Neda, Salminen, Lauren E., Thomopoulos, Sophia I., Rashid, Faisal, Ching, Christopher R.K., Koch, Saskia B.J., Frijling, Jessie L., Nawijn, Laura, van Zuiden, Mirjam, Zhu, Xi, Suarez-Jimenez, Benjamin, Sierk, Anika, Walter, Henrik, Manthey, Antje, Stevens, Jennifer S., Fani, Negar, van Rooij, Sanne J.H., Stein, Murray, Bomyea, Jessica, Koerte, Inga K., Choi, Kyle, van der Werff, Steven J.A., Vermeiren, Robert R.J.M., Herzog, Julia, Lebois, Lauren A.M., Baker, Justin T., Olson, Elizabeth A., Straube, Thomas, Korgaonkar, Mayuresh S., Andrew, Elpiniki, Zhu, Ye, Li, Gen, Ipser, Jonathan, Hudson, Anna R., Peverill, Matthew, Sambrook, Kelly, Gordon, Evan, Baugh, Lee, Forster, Gina, Simons, Raluca M., Simons, Jeffrey S., Magnotta, Vincent, Maron-Katz, Adi, du Plessis, Stefan, Disner, Seth G., Davenport, Nicholas, Grupe, Daniel W., Nitschke, Jack B., deRoon-Cassini, Terri A., Fitzgerald, Jacklynn M., Krystal, John H., Levy, Ifat, Olff, Miranda, Veltman, Dick J., Wang, Li, Neria, Yuval, De Bellis, Michael D., Jovanovic, Tanja, Daniels, Judith K., Shenton, Martha, van de Wee, Nic J.A., Schmahl, Christian, Kaufman, Milissa L., Rosso, Isabelle M., Sponheim, Scott R., Hofmann, David Bernd, Bryant, Richard A., Fercho, Kelene A., Stein, Dan J., Mueller, Sven C., Hosseini, Bobak, Phan, K. Luan, McLaughlin, Katie A., Davidson, Richard J., Larson, Christine L., May, Geoffrey, Nelson, Steven M., Abdallah, Chadi G., Gomaa, Hassaan, Etkin, Amit, Seedat, Soraya, Harpaz-Rotem, Ilan, Liberzon, Israel, van Erp, Theo G.M., Quidé, Yann, Wang, Xin, Thompson, Paul M., Morey, Rajendra A.
    Publicado 2022
    “…Our results support the use of ComBat-GAM to minimize confounds and increase statistical power when harmonizing data with non-linear effects, and the use of either ComBat or ComBat-GAM for harmonizing data with linear effects.…”
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    A comparison of methods to harmonize cortical thickness measurements across scanners and sites
  2. 1142
    “…The technique is based on tracking the frequencies of the rotor slot harmonics (RSH) seen in most squirrel-cage IM stator currents, thus assuring a broad range of applications. …”
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    Speed Estimation of Six-Phase Induction Motors, Using the Rotor Slot Harmonics
  3. 1143
    “…The purpose of this study is to clarify the associations between the enhancement patterns on contrast-enhanced harmonic endoscopic ultrasound (CH-EUS) and the aggressiveness and prognosis of pancreatic neuroendocrine neoplasms (PanNENs). …”
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    Contrast-Enhanced Harmonic Endoscopic Ultrasound for Diagnosis of the Aggressiveness of Pancreatic Neuroendocrine Neoplasm
  4. 1144
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    Electrocautery, Harmonic, and Thunderbeat Instruments in Parotid Surgery: A Retrospective Comparative Study
  5. 1145
    “…To remove technical variability, commonly called batch effects, different statistical harmonization strategies have been widely used in genomics but less considered in radiomics. …”
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    A Framework of Analysis to Facilitate the Harmonization of Multicenter Radiomic Features in Prostate Cancer
  6. 1146
    “…We study the evolution of the energy of a harmonic oscillator when its frequency slowly varies with time and passes through a zero value. …”
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    Adiabatic Amplification of the Harmonic Oscillator Energy When the Frequency Passes through Zero
  7. 1147
    “…In this paper, an ensemble filters feature selection based on Information Gain (IG), Gain Ratio (GR), Chi-squared (CS), and Relief-F (RF) with harmonize optimization of Particle Swarm Optimization (PSO) and Support Vector Machine (SVM) is presented to mitigate these problems. …”
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    Ensemble filters with harmonize PSO–SVM algorithm for optimal hearing disorder prediction
  8. 1148
    “…Finally, we show that amplicon and shotgun data can be harmonized and pooled to yield larger microbiome datasets with excellent agreement (<1% effect size variance across three independent outcomes) using pooled amplicon/shotgun data compared to pure shotgun metagenomic analysis. …”
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    Comprehensive evaluation of shotgun metagenomics, amplicon sequencing, and harmonization of these platforms for epidemiological studies
  9. 1149
    “…Harmonic Scalpel technology reduces the need for ligatures with simultaneous cutting and coagulation: moreover there is not electricity to or through the patient Harmonic Scalpel has a greater precision near vital structures and it produces minimal smoke with improved visibility in the surgical field. …”
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    The HAC Trial (Harmonic for Acute Cholecystitis) Study. Randomized, double-blind, controlled trial of Harmonic(H) versus Monopolar Diathermy (M) for laparoscopic cholecystectomy (LC) for acute cholecystitis (AC) in adults
  10. 1150
    “…PARLI (Portale per l’Accesso alle Risorse in Lingua Italiana) is a project partially funded by the Ministero Italiano per l’Università e la Ricerca (PRIN 2008) from 2008 to 2012 for monitoring and fostering the harmonic growth and coordination of the activities of Italian NLP. …”
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    Harmonization and development of resources and tools for Italian natural language processing within the PARLI project
  11. 1151
    Publicado 1997
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    International Symposium on Harmonization of Health Related Environmental Measurements Using Nuclear and Isotopic Techniques
  12. 1152
    “…Overall, MAMS can be used as a guide to harmonize analysis-related metadata which will ultimately facilitate integration of datasets across tools and consortia. …”
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    Matrix and analysis metadata standards (MAMS) to facilitate harmonization and reproducibility of single-cell data
  13. 1153
    “…These differences suggest a harmonization of diagnostic techniques for toxoplasmosis in pregnant women in Cameroonian health facilities.…”
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    Performance of immunochromatographic and immunoenzymatic techniques in the diagnosis of toxoplasmosis in pregnant women in Cameroon: need for harmonization
  14. 1154
    “…In the African Medicines Regulatory Harmonization initiative, national regulatory authorities (NRAs) within each of Africa’s regional economic communities coordinate their activities, rely on the work of one another and other trusted regulatory authorities, and apply other principles of smart regulation. …”
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    Best practices in the African Medicines Regulatory Harmonization initiative: Perspectives of regulators and medicines manufacturers
  15. 1155
    “…These estimates were used to generate simulated item response patterns under 10 scenarios that adjusted the quality and quantity of linking items used in harmonization. IRT‐derived factor scores were compared to the known population values to assess bias, efficiency, accuracy, and reliability of the harmonized data. …”
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    Harmonization of cognitive screening tools for dementia across diverse samples: A simulation study
  16. 1156
    “…Nevertheless, manufacturer-dependent differences have been reported, indicating a lack of harmonization. This paper analyzes data from 15 external quality assessment (EQA) surveys conducted worldwide between 2018 and 2022. …”
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    Longitudinal Evaluation of AFP and CEA External Proficiency Testing Reveals Need for Method Harmonization
  17. 1157
    “…First, we pool and harmonize cognitive data from international cohorts of varying size and ethnic diversity. …”
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    Online Artículo Texto
    A robust harmonization approach for cognitive data from multiple aging and dementia cohorts
  18. 1158
    “…However, there is limited work harmonizing and supporting cross-cohort interoperability of the two resources. …”
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    An ontology-based approach for harmonization and cross-cohort query of Alzheimer’s disease data resources
  19. 1159
    “…This study investigates the use of our DP-based ICA denoising method for harmonizing functional MRI (fMRI) data collected from the Autism Brain Imaging Data Exchange II. …”
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    Harmonization of multi-site functional MRI data with dual-projection based ICA model
  20. 1160
    “…Such a challenge calls for data normalization and/or harmonization frameworks, in addition to comprehensive criteria to estimate the scanner-related variability and evaluate the harmonization frameworks. …”
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    MISPEL: A supervised deep learning harmonization method for multi-scanner neuroimaging data
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