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  1. 73481
    “…Linear HRV parameters included the root mean square of successive RR interval differences (RMSSD) and high-frequency HRV (HF-HRV), while non-linear parameters included 2 UV%. …”
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    Linear and non‑linear indices of vagal nerve in relation to sex and inflammation in patients with Covid‑19
  2. 73482
    “…WWI was calculated as waist circumference (cm) divided by the square root of body weight (kg). Dual‐energy X‐ray absorptiometry was used to measure bone mineral density (BMD), appendicular lean mass (ALM) and total body fat percentage. …”
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    Weight‐adjusted waist as an integrated index for fat, muscle and bone health in adults
  3. 73483
    “…The simulation experiments demonstrated the proposed method exhibits the best result in terms of noise suppression [root-mean-square error (RMSE) =9.02; peak signal-to-noise ratio (PSNR) =33.17] and fine structure preservation [structural similarity index (SSIM) =0.925] compared with other competitive CNN-based methods. …”
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    Structure-preserving low-dose computed tomography image denoising using a deep residual adaptive global context attention network
  4. 73484
    “…Surface congruency was calculated as the mean absolute error and the root mean squared error in the distance. A 1-way repeated-measures analysis of variance was performed to evaluate the effects of the difference in the HSL size and associated talus OCA plugs on surface congruency and the HSL surface area. …”
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    Utility of Talus Osteochondral Allograft Augmentation for Varying Hill-Sachs Lesion Sizes: A Cadaveric Study
  5. 73485
    “…RESULTS: Preoperatively, patients with palmar hyperhidrosis presented with significantly larger standard deviation of normal-to-normal (SDNN), root mean square of successive differences (RMSSD), total power (TP), and low frequency (LF) than patients with craniofacial hyperhidrosis after controlling for age and sex (P=0.030, P=0.004, P=0.041, and P=0.022, respectively). …”
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    Machine learning analysis of primary hyperhidrosis for classification of hyperhidrosis type and prediction of compensatory hyperhidrosis
  6. 73486
    Publicado 2023
    “…Digital health literacy is rooted in health literacy and comprises the competencies to find, understand, appraise, and apply health information and services. …”
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    2.L. Workshop: Digital health literacy in childhood and adolescence: concepts, assessment tools, and study results
  7. 73487
    Publicado 2023
    “…Not enough is known about the root causes of these phenomena and therefore what can be done to effectively enhance workforce wellbeing and engagement and also assist health systems to deal effectively with the legacy of pent up demand from the pandemic which is threatening to overwhelm services. …”
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    1.N. Workshop: Improving the wellbeing of the health workforce in Europe: Issues and lessons from Ireland
  8. 73488
    Publicado 2023
    “…Attempts to set targets for improvement adopted well-known conceptual frameworks to categorise areas of evaluation (e.g., Donabedian model) and acknowledged the multifactorial root of perioperative harm and the various patient-condition and system-level factors have been fundamental in perioperative safety. …”
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    6.G. Workshop: Quality assessment in perioperative care: Challenges and lessons learned from the SAFEST project
  9. 73489
    “…The expression level and concentration of Vip3A were observed with a high specific accumulation in the green tissues (leaf and stem), and only a small amount was observed in the root and kernel tissues in the KEY × LOCK hybrids. …”
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    Engineered Expression of Vip3A in Green Tissues as a Feasible Approach for the Control of Insect Pests in Maize
  10. 73490
    “…Algorithm performance was measured using root-mean squared-error (RMSE). As predictors, we included patient clinical variables, perioperative clinical measures, microstructural white matter (diffusion tensor imaging- DTI), and structural volumes (volumetric magnetic resonance imaging- MRI). …”
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    Cerebral Spinal Fluid Volumetrics and Paralimbic Predictors of Executive Dysfunction in Congenital Heart Disease: A Machine Learning Approach Informing Mechanistic Insights
  11. 73491
    “…CONCLUSIONS: Based on the surgical findings of our 11 LDH cases with contralateral symptoms, we hypothesized that the contralateral symptoms might be produced when the nerve root on the contralateral symptomatic side was tightly pulled by the herniated disc via the dural mater. …”
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    Lumbar Disc Herniation with Contralateral Symptoms: A Case‐Series of 11 Patients and Literature Review
  12. 73492
    “…Gompertz, Logistic, Brody, Von Bertalanffy, Monomolecular, Negative exponential, and Richards models were evaluated to quantify their ability to describe the biological growth curve. Root mean square error (RMSE), Bayesian information criterion (BIC), adjusted coefficient of determination (AdjR(2)), and Akaike’s information criterion (AIC) were used to evaluate the goodness of fit and flexibility of the models. …”
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    Growth curve analysis in different generations of Boer x Central Highland goats using alternative estimation models
  13. 73493
    “…Moreover, we formulated a prognosis signature rooted in ten m6A-related lncRNAs, consisting of AL360181.1, PCAT6, SNHG26, AC016876.1, AC104667.2, AL114730.3, LINC02257, AC147067.1, AP006621.3 and AC009237.14. …”
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    AL360181.1 promotes proliferation and invasion in colon cancer and is one of ten m6A-related lncRNAs that predict overall survival
  14. 73494
    “…Finally, an advanced N management approach such as “root zone targeted fertilization” is suggested to reduce fertilizer application rate and save time and labor costs while achieving high yield and NUE.…”
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    Global evaluation of key factors influencing nitrogen fertilization efficiency in wheat: a recent meta-analysis (2000-2022)
  15. 73495
    “…The agreement between the two devices was assessed with the analysis of Bland–Altman plots, mean absolute error (MAE), and root mean squared error (RMSE) calculations. The repeatability of the measurements was also compared between the two devices. …”
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    Validation of the Body Scan(®), a new device to detect small fiber neuropathy by assessment of the sudomotor function: agreement with the Sudoscan(®)
  16. 73496
    “…Many children receive diagnoses of idiopathic neuropsychiatric symptoms such as epilepsy, attention-deficit hyperactivity disorder (ADHD), restless leg syndrome (RLS), and peripheral neuropathy without ever finding the root cause. A majority of these cases may be associated with celiac disease if only their antibody titers and other appropriate investigations were conducted. …”
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    Pathological Manifestations of Gluten-Related Neuro-Psychiatric Disorders and the Impact of Gluten-Free Diet in a Pediatric Age Group: A Systematic Review
  17. 73497
    “…We further indicate in this study that heart rate variability parameter RMSSD (root mean square of successive differences) is a good predictor of this effect, as well as anxiety as a personality trait (but not state anxiety). …”
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    Virtual reality hypnosis diminishes experimental cold pain and alters autonomic responses
  18. 73498
    “…Background: Scutellaria amoena (SA) is the root of S. amoena C.H. Wright of Labiatae, also known as Scutellaria southwestern. …”
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    The alleviating effect of Scutellaria amoena extract on the regulation of gut microbiota and its metabolites in NASH rats by inhibiting the NLRP3/ASC/caspase-1 axis
  19. 73499
    por Ajaj, Reem, Alsulaiman, Mona
    Publicado 2023
    “…Conclusion: The study highlights the crucial role of pre-operative vitality tests in assessing deep carious lesions for VPT or root canal treatment (RCT). Participants generally favored VPT for cases with normal pulp vitality, with some departmental variation. …”
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    Assessment of Decision-Making and Material Selection for Vital Pulp Therapy in Deep Carious Lesions: A Study at the Faculty of Dentistry, King Abdulaziz University
  20. 73500
    “…A threshold subthalamic nucleus deep brain stimulation score >2.5 (preferentially composed of normalized root mean square >1.5, subthalamic nucleus width >3 mm and a dorsolateral oscillatory region/subthalamic nucleus width ratio >1/3) predicts better motor and non-motor long-term outcomes. …”
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    Subthalamic nucleus physiology is correlated with deep brain stimulation motor and non-motor outcomes
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