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  1. 75181
    “…Four time-domain HRV indices (number of normal-to-normal (NN) intervals >50 ms divided by the number of all NN intervals [pNN50]; root mean square of successive differences [RMSSD]; SD of NN intervals [SDNN]; and SD of differences between adjacent NN intervals) and three frequency-domain HRV indices (very-low-frequency [VLF], low-frequency [LF] and high-frequency [HF] power spectrum) were computed from NN intervals recorded during a 3 h hyperinsulinaemic–euglycaemic clamp at baseline and in subsets of participants with type 1 (n = 60) and type 2 diabetes (n = 95) after 5 years. …”
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    Association of cardiac autonomic dysfunction with higher levels of plasma lipid metabolites in recent-onset type 2 diabetes
  2. 75182
    “…Objective: We hypothesized that this phenotype would be reflected in the individual behavior of heart rate variability (HRV) as measured by root mean square of successive differences of R-R intervals (RMSSD), a measure of vagal modulation of HRV, which is known to increase with worsening acidemia. …”
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    Fetal Cardiovascular Decompensation During Labor Predicted From the Individual Heart Rate Tracing: A Machine Learning Approach in Near-Term Fetal Sheep Model
  3. 75183
    “…Clinical case: A 3-year-old Caucasian female with CFC3 (macrocephaly, frontal bossing, wide nasal root with depressed bridge, anteverted nares, low set fleshy ears, congenital pulmonic valve stenosis, postnatal growth deficiency, hypotonia, and neurocognitive impairment) due to a de novo heterozygous c.389A>G, p.Tyr130Cys pathogenic variant in MAP2K1, presented with extremely elevated serum total cholesterol of 446 mg/dL, triglycerides of 239 mg/dL, HDL-cholesterol of 53 mg/dL, LDL-C of 335 mg/dL (normal range < 110 mg/dL) and serum apolipoprotein B level 219 mg/dL (normal range < 90 mg/dL). …”
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    Diet-Responsive Hypercholesterolemia With Cardiofaciocutaneous Syndrome Type 3
  4. 75184
    “…The CHIME model was compared to United Kingdom Prospective Diabetes Study Outcomes Model 2 (UKPDS-OM2) and Risk Equations for Complications Of type 2 Diabetes (RECODe) by assessing model discrimination (C-statistics), calibration slope/intercept, root mean square percentage error (RMSPE), and R(2). …”
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    Development and validation of the CHIME simulation model to assess lifetime health outcomes of prediabetes and type 2 diabetes in Chinese populations: A modeling study
  5. 75185
    “…Thus, we have interrogated from publicly available single-nuclei transcriptomic data of peripheral nerve soma (dorsal root ganglia), injured by physical transection or chemically induced pain. …”
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    4: Peripheral Nerves Engage in Reciprocal Neuro- and Angiogenic Crosstalk With SMCs in Extremity Trauma
  6. 75186
    “…A hybrid metric combining the root-mean-squared discrepancy (RMSD) and the absolute CRC values was used to simultaneously optimize for best match in CRC between the two scanners while simultaneously weighting toward higher resolution reconstructions. …”
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    Harmonization of PET image reconstruction parameters in simultaneous PET/MRI
  7. 75187
    “…RESULTS: Here, a total of 15 actinomycete-like isolates were obtained from the root tissues of Lilium davidii var. unicolor (Hoog) Cotton based on their morphological appearance, mycelia coloration and diffusible pigments. …”
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    Evaluation of the anticarcinogenic potential of the endophyte, Streptomyces sp. LRE541 isolated from Lilium davidii var. unicolor (Hoog) Cotton
  8. 75188
    “…In the IOM group, three patients had intraoperative cerebrospinal fluid leakage, and symptoms of C5 nerve root paralysis were presented in four patients following surgery. …”
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    Application of Triggered EMG in the Intraoperative Neurophysiological Monitoring of Posterior Percutaneous Endoscopic Cervical Discectomy
  9. 75189
    “…Neurologic complications assessed were C5 motor deficit, central neurodeficit, nerve root motor deficits, nerve sensory deficits, radiculopathy, and spinal cord deficits. …”
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    The impact of postoperative neurologic complications on recovery kinetics in cervical deformity surgery
  10. 75190
    “…The calculated mean absolute error (MAE), mean absolute percentage error (MAPE) and root mean square error (RMSE) for wheat were 0.0087, 0.834 and 0.052, respectively. …”
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    Nitrogen and potassium application effects on productivity, profitability and nutrient use efficiency of irrigated wheat (Triticum aestivum L.)
  11. 75191
    “…Speech samples were acoustically analysed for root mean square (RMS) amplitude (A (RMS)) and spectral moments of four fricatives /f/, /s/, /ʃ/ and /z/; and amplitude of the first three formants (A1, A2 and A3) measured from the reading passage and extracted vowels. …”
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    Acoustic characteristics of fricatives, amplitude of formants and clarity of speech produced without and with a medical mask
  12. 75192
    “…Their accuracies have been quantified by minimizing the root mean square error, the mean absolute error due to the actual forecast, and the mean absolute scaled error. …”
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    Assessment of indoor radon concentration and time-series analysis of gamma dose rate in three thermal spas from Portugal
  13. 75193
    “…RESULTS: The dose was reconstructed in all calculation points at a mean frequency of 4.7 Hz. The root‐mean‐square difference between real‐time reconstructed and film‐measured motion‐induced errors was 3.1%‐points (γ‐failure rate), 0.13 Gy (CTV ΔD (95%)), 0.23 Gy (GTV ΔD (95%)), 0.19 Gy (urethra ΔD (0.1CC)), 0.09 Gy (bladder ΔD (0.1CC)), and 0.07 Gy (rectum ΔD (0.1CC)). …”
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    Experimental investigation of dynamic real‐time rotation‐including dose reconstruction during prostate tracking radiotherapy
  14. 75194
    “…The IMU system accuracy was reported as Root Mean Square Error (RMSE) and Pearson Correlation Coefficient (PCC). …”
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    Fetlock Joint Angle Pattern and Range of Motion Quantification Using Two Synchronized Wearable Inertial Sensors per Limb in Sound Horses and Horses with Single Limb Naturally Occurring Lameness
  15. 75195
    “…METHODS: The laboratory-rooted study was performed at the Department of Clinical Microbiology. …”
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    P329 A tele of fungal burden in chronic suppurative otitis media (CSOM) patients of a tertiary care center of Nepal
  16. 75196
    “…For model performance evaluation, the mean absolute error (MAE), mean error (ME), mean relative absolute error (MRAE%), relative error (RE%), mean squared error (MSE), root mean squared error (RMSE), peak signal-to-noise ratio (PSNR), and structural similarity index (SSIM) were calculated between the predicted K(i)-Patlak images by the two groups and the reference K(i)-Patlak images generated through Patlak analysis using the whole acquired data sets. …”
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    Direct inference of Patlak parametric images in whole-body PET/CT imaging using convolutional neural networks
  17. 75197
    “…Target motion prediction beyond the liver–lung interface had a median root mean square error of 1.6 mm (in‐vivo) and 0.5 mm (in‐silico). …”
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    A hybrid 2D/4D‐MRI methodology using simultaneous multislice imaging for radiotherapy guidance
  18. 75198
    “…EndoPat was used to measure HRV: frequency-domain indices [high-frequency (HF) reflecting PNS, low-frequency (LF) reflecting both PNS and SNS, and LF/HF (higher is worse) estimating the ratio between SNS and PNS] and time-domain indices [the inter-beat interval of normal sinus beats (NN) and the standard deviation of NN (SDNN) measuring overall HRV, the square root of the mean squared difference of successive NN (RMSSD) and the NN intervals differing by more than 50 milliseconds (NN50) measuring PNS activity]. …”
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    RF02 | PMON308 Hyperglycemia Is the Main Determinant of Cardiac Autonomic Dysfunction in Youth With Obesity Across the Spectrum of Glycemic Regulation.
  19. 75199
    “…Accuracy was quantified by calculating mean absolute error and the square root of mean squared error. RESULTS: Our model derivation cohort included 202,300 spontaneous conceptions, and the testing cohorts included 50,735 spontaneous conceptions and 1924 assisted conceptions. …”
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    Validation of gestational age determination from ultrasound or a metabolic gestational age algorithm using exact date of conception in a cohort of newborns conceived using assisted reproduction technologies
  20. 75200
    por Kennedy, Eamonn, Vadlamani, Shashank, Lindsey, Hannah M, Lei, Pui-Wa, Jo-Pugh, Mary, Adamson, Maheen, Alda, Martin, Alonso-Lana, Silvia, Ambrogi, Sonia, Anderson, Tim J, Arango, Celso, Asarnow, Robert F, Avram, Mihai, Ayesa-Arriola, Rosa, Babikian, Talin, Banaj, Nerisa, Bird, Laura J, Borgwardt, Stefan, Brodtmann, Amy, Brosch, Katharina, Caeyenberghs, Karen, Calhoun, Vince D, Chiaravalloti, Nancy D, Cifu, David X, Crespo-Facorro, Benedicto, Dalrymple-Alford, John C, Dams-O’Connor, Kristen, Dannlowski, Udo, Darby, David, Davenport, Nicholas, DeLuca, John, Diaz-Caneja, Covadonga M, Disner, Seth G, Dobryakova, Ekaterina, Ehrlich, Stefan, Esopenko, Carrie, Ferrarelli, Fabio, Frank, Lea E, Franz, Carol, Fuentes-Claramonte, Paola, Genova, Helen, Giza, Christopher C, Goltermann, Janik, Grotegerd, Dominik, Gruber, Marius, Gutierrez-Zotes, Alfonso, Ha, Minji, Haavik, Jan, Hinkin, Charles, Hoskinson, Kristen R, Hubl, Daniela, Irimia, Andrei, Jansen, Andreas, Kaess, Michael, Kang, Xiaojian, Kenney, Kimbra, Keřková, Barbora, Khlif, Mohamed Salah, Kim, Minah, Kindler, Jochen, Kircher, Tilo, Knížková, Karolina, Kolskår, Knut K, Krch, Denise, Kremen, William S, Kuhn, Taylor, Kumari, Veena, Kwon, Jun Soo, Langella, Roberto, Laskowitz, Sarah, Lee, Jungha, Lengenfelder, Jean, Liebel, Spencer W, Liou-Johnson, Victoria, Lippa, Sara M, Løvstad, Marianne, Lundervold, Astri, Marotta, Cassandra, Marquardt, Craig A, Mattos, Paulo, Mayeli, Ahmad, McDonald, Carrie R, Meinert, Susanne, Melzer, Tracy R, Merchán-Naranjo, Jessica, Michel, Chantal, Morey, Rajendra A, Mwangi, Benson, Myall, Daniel J, Nenadić, Igor, Newsome, Mary R, Nunes, Abraham, O’Brien, Terence, Oertel, Viola, Ollinger, John, Olsen, Alexander, de la Foz, Victor Ortiz García, Ozmen, Mustafa, Pardoe, Heath, Parent, Marise, Piras, Fabrizio, Piras, Federica, Pomarol-Clotet, Edith, Repple, Jonathan, Richard, Geneviève, Rodriguez, Jonathan, Rodriguez, Mabel, Rootes-Murdy, Kelly, Rowland, Jared, Ryan, Nicholas P, Salvador, Raymond, Sanders, Anne-Marthe, Schmidt, Andre, Soares, Jair C, Spalleta, Gianfranco, Španiel, Filip, Stasenko, Alena, Stein, Frederike, Straube, Benjamin, Thames, April, Thomas-Odenthal, Florian, Thomopoulos, Sophia I, Tone, Erin, Torres, Ivan, Troyanskaya, Maya, Turner, Jessica A, Ulrichsen, Kristine M, Umpierrez, Guillermo, Vilella, Elisabet, Vivash, Lucy, Walker, William C, Werden, Emilio, Westlye, Lars T, Wild, Krista, Wroblewski, Adrian, Wu, Mon-Ju, Wylie, Glenn R, Yatham, Lakshmi N, Zunta-Soares, Giovana B, Thompson, Paul M, Tate, David F, Hillary, Frank G, Dennis, Emily L, Wilde, Elisabeth A
    Publicado 2023
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    Bridging Big Data: Procedures for Combining Non-equivalent Cognitive Measures from the ENIGMA Consortium
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