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  1. 74001
    “…Performance was assessed via Root Mean Square Prediction Error (RMSE) and Mean Absolute Scale Prediction Error (MASE). …”
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    Forecasting SARS-CoV-2 Incidence in Ontario Municipalities with Statistical and Algorithmic Modeling and Ensembles
  2. 74002
    “…A dose-dependent degeneration/necrosis of neurons without clinical manifestations occurred in dorsal root ganglia (DRGs) and sympathetic thoracic ganglia in rats, while liver injury was not observed in rats. …”
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    Biodistribution and Tolerability of AAV-PHP.B-CBh-SMN1 in Wistar Han Rats and Cynomolgus Macaques Reveal Different Toxicologic Profiles
  3. 74003
    “…For victims of electric shock, the PNS sequelae we identified included an increased risk of disturbances of skin sensation, mononeuropathy in the arm or leg and nerve root and plexus disorders. We also identified an uncertain, increased risk of facial nerve disorders, other mononeuropathy, and polyneuropathy. …”
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    Neurological symptoms and disorders following electrical injury: A register-based matched cohort study
  4. 74004
    “…A citation-adjusted linear regression equation was developed where dietary ME concentration (Mcal/kg of dry matter [DM]) was the dependent variable and dietary DE concentration (Mcal/kg) was the independent variable: ME = 1.0001 × DE – 0.3926; r(2) = 0.99, root mean square prediction error [RMSPE] = 0.04, and P < 0.01 for the intercept and slope. …”
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    Predicting metabolizable energy from digestible energy for growing and finishing beef cattle and relationships to the prediction of methane
  5. 74005
    “…We estimated utilities for each subsample with leave-one-out at the block level using regression models (8 or 20 parameter; with or without a random intercept; time tradeoff [TTO] data only or TTO + discrete choice experiment [DCE] data). Prediction accuracy, root mean square error (RMSE), was calculated by comparing to censored mean predicted values to the left-out block in the full data set. …”
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    Sample Size and Model Prediction Accuracy in EQ-5D-5L Valuations Studies: Expected Out-of-Sample Accuracy Based on Resampling with Different Sample Sizes and Alternative Model Specifications
  6. 74006
    “…METHODS: Fifteen patients with elbow flexor spasticity after stroke were enrolled in this study. sEMG signals of the paretic and nonparetic elbow flexor muscles (biceps and brachioradialis) were detected during MVIC and FPE, and root mean square (RMS) values were calculated. The RMS values (mean and peak) of the biceps and brachioradialis were compared between the paretic and nonparetic sides. …”
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    The Effects of the Biceps Brachii and Brachioradialis on Elbow Flexor Muscle Strength and Spasticity in Stroke Patients
  7. 74007
    “…By revealing potential mechanisms underlying tumor resilience, the root of resistance to treatment, our study may inform novel strategies to develop precision and effective therapies to treat brain cancer. …”
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    Slow-Cycling Cells in Glioblastoma: A Specific Population in the Cellular Mosaic of Cancer Stem Cells
  8. 74008
    “…INTRODUCTION: Apical periodontitis (AP) is a common oral disease caused by the inflammatory destruction of the periapical tissues due to the infection of the root canal system of the tooth. It also contributes to systemic bacterial translocation, where peripheric mononuclear blood cells (PBMCs) can act as carriers. …”
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    CpG Single-Site Methylation Regulates TLR2 Expression in Proinflammatory PBMCs From Apical Periodontitis Individuals
  9. 74009
    “…Protein-ligand molecular docking studies between PYL and ABA were performed using AutoDock 1.5.6, followed by 100ns molecular dynamic simulation studies using Desmond to determine the acceptable conformational changes after docking via root mean square deviation RMSD plot analysis. Protein-protein docking was then carried out in three sets: PYL-PP2Cs, PYL-ABA-PP2C and PYL(mut)-ABA-PP2C to scrutinize changes in structural conformations and binding energies between complexes. …”
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    Molecular Docking and Interaction Studies of Identified Abscisic Acid Receptors in Oryza sativa: An In-Silico Perspective on Comprehending Stress Tolerance Mechanisms
  10. 74010
    “…KTI12 is involved in developmental processes of most organs, including the leaf, root, flower, and seed, through regulating cell division and differentiation. …”
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    Overexpression of GhKTI12 Enhances Seed Yield and Biomass Production in Nicotiana Tabacum
  11. 74011
    “…Linear regression and case-control genome-wide association studies were conducted with high-density genotype data and cube-root transformed weaning fecal egg counts (tFEC) of 583 Katahdin sheep. …”
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    Variants Within Genes EDIL3 and ADGRB3 are Associated With Divergent Fecal Egg Counts in Katahdin Sheep at Weaning
  12. 74012
    “…Moreover, elective single embryo transfer should also be fully considered which could tackle the problem at its root.…”
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    The Influence of the Vanishing Twin on the Perinatal Outcome of Surviving Singleton in IVF Pregnancy
  13. 74013
    “…Finally, the Bayesian DSS predicted the change in BED with a root mean squared error of 3.6 Gys. CONCLUSIONS: A duodenal spacer simulator platform was developed and used to systematically study the dosimetric effect of spacer location. …”
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    Finite Element-Based Personalized Simulation of Duodenal Hydrogel Spacer: Spacer Location Dependent Duodenal Sparing and a Decision Support System for Spacer-Enabled Pancreatic Cancer Radiation Therapy
  14. 74014
    “…For mRS score, we assessed longitudinal WMH volumes (cube root; percentage intracranial volume [ICV]), adjusting for age, NIHSS score, ACE-R, stroke subtype, and time to assessment. …”
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    Impact of Small Vessel Disease Progression on Long-term Cognitive and Functional Changes After Stroke
  15. 74015
    “…HRV was measured using the RMSSD (root mean square of successive differences of NN intervals) at sea level (SL) in the United Kingdom and at 3,619, 4,600, and 5,140 m at HA. …”
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    The Effect of High-Altitude Acclimatisation on Ultra-Short Heart Rate Variability
  16. 74016
    “…RESULTS: With the machine learning model using all the analytes, samples shipped in dry ice yielded a Root Mean Square Error (RMSE) of 1.19 weeks compared to 1.58 weeks for samples shipped in ambient temperature. …”
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    Machine learning prediction of gestational age from metabolic screening markers resistant to ambient temperature transportation: Facilitating use of this technology in low resource settings of South Asia and East Africa
  17. 74017
    “…Whereas motivations for internationalizing medical curricula in high-income countries were generally rooted in a model of social transformation/justice/health equity, drivers relating to competition and workforce preparation were common in the low- and middle-income countries. …”
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    Internationalization of Medical Education — Motivations and Formats of Current Practices
  18. 74018
    “…BACKGROUND: In collaboration with facilities, communities, district local government, and the United States Agency for International Development (USAID) implementing partners, the iDARE methodology was implemented at the community level to address root causes of low HIV antiretroviral therapy adherence among men and children actively enrolled in care, resulting in low viral load suppression (VLS) in two districts in the eastern region of Uganda. …”
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    Improving Viral Load Suppression Among Men and Children Active in Care Through Community-Designed and Led Solutions: Protocol for Retrospective Closed Cohort Study in Eastern Uganda
  19. 74019
    “…RESULTS: The structural equation model (SEM) assuming a one-dimensional structure of the instrument showed acceptable goodness of fit (root mean square error of approximation=0.04, Comparative Fit Index=0.96 and Tucker-Lewis Index=0.96; factor loadings ≥0.83). …”
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    Validation of a patient-reported measure of social support provided by nurses in breast cancer care (SuPP-N): based on a cross-sectional patient survey in 83 German hospitals
  20. 74020
    “…In the multivariate model, the FD in the SCP was significantly associated with higher intraocular pressure (IOP) (β = 0.204; 95% CI, 0.073–0.335; P < 0.001), axial length (AL) (β = −0.875; 95% CI, −1.197 to −0.552; P < 0.001; R(2) = 0.26; root mean square error [RMSE] = 7.78). The FD in the DCP was significantly associated with best-corrected visual acuity (β = −6.170; 95% CI, −10.175 to −2.166; P = 0.003) and anterior chamber depth (β = −0.348; 95% CI, −0.673 to −0.023; P = 0.036; R(2) = 0.10; RMSE = 2.58). …”
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    Ocular Factors of Fractal Dimension and Blood Vessel Tortuosity Derived From OCTA in a Healthy Chinese Population
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