Penalty conversions yield large practical decreases, but robustness and generalizability of result are limited by data quality and sample selection. by Ryan J. Treves (13527735)

Distribution of <i>L</i>(<i>p</i>) with an absolute error when a single observation is randomly sampled at each time point, with the smallest observation (blue) and the largest obs... by Hyeontae Jo (20469463)

U-wave estimates versus R-matrix noise variance. by Zhe Hu (787283)

An Integrated Approach for Determination of Total Per- and Polyfluoroalkyl Substances (PFAS) by Marzieh Shojaei (11084912)

“…In soils, the total PFAS estimated with results from an extraction method utilizing sequential acidic and basic solvents led to a 35% increase in precursors during TOP assay relative to results from a basic solvent only extraction in one of three soils tested, but concentrations did not increase significantly in remaining soils. …”

S1 Dataset - by Pamela Bakkabulindi (12914980)

“…At the endline, immunization coverage for the Oral Polio Vaccine third dose; Rotavirus vaccine second dose; Pneumococcal Conjugate Vaccine third dose increased in both the intervention and control health facilities. There was a decrease in coverage for the Measles-Rubella vaccine decreased in the intervention health facilities and a decrease in Bacillus Calmette–Guérin vaccine coverage in the control facilities. …”

Real-time measurements of cAMP in response to IBMX in control and AICAR-treated rat AVMs. by Anne Garnier (130125)

Data_Sheet_5_Decreased default mode network functional connectivity with visual processing regions as potential biomarkers for delayed neurocognitive recovery: A resting-state fMRI... by Zhaoshun Jiang (7478243)

“…The algorithm performance was evaluated by a permutation test.</p>Results<p>We found significantly decreased DMN connectivity with the brain regions involved in visual processing in DNR patients than in non-DNR patients. …”

Data_Sheet_4_Decreased default mode network functional connectivity with visual processing regions as potential biomarkers for delayed neurocognitive recovery: A resting-state fMRI... by Zhaoshun Jiang (7478243)

“…The algorithm performance was evaluated by a permutation test.</p>Results<p>We found significantly decreased DMN connectivity with the brain regions involved in visual processing in DNR patients than in non-DNR patients. …”

Data_Sheet_3_Decreased default mode network functional connectivity with visual processing regions as potential biomarkers for delayed neurocognitive recovery: A resting-state fMRI... by Zhaoshun Jiang (7478243)

“…The algorithm performance was evaluated by a permutation test.</p>Results<p>We found significantly decreased DMN connectivity with the brain regions involved in visual processing in DNR patients than in non-DNR patients. …”

Data_Sheet_1_Decreased default mode network functional connectivity with visual processing regions as potential biomarkers for delayed neurocognitive recovery: A resting-state fMRI... by Zhaoshun Jiang (7478243)

“…The algorithm performance was evaluated by a permutation test.</p>Results<p>We found significantly decreased DMN connectivity with the brain regions involved in visual processing in DNR patients than in non-DNR patients. …”

Data_Sheet_1_Decreased default mode network functional connectivity with visual processing regions as potential biomarkers for delayed neurocognitive recovery: A resting-state fMRI... by Zhaoshun Jiang (7478243)

“…The algorithm performance was evaluated by a permutation test.</p>Results<p>We found significantly decreased DMN connectivity with the brain regions involved in visual processing in DNR patients than in non-DNR patients. …”

Data_Sheet_2_Decreased default mode network functional connectivity with visual processing regions as potential biomarkers for delayed neurocognitive recovery: A resting-state fMRI... by Zhaoshun Jiang (7478243)

“…The algorithm performance was evaluated by a permutation test.</p>Results<p>We found significantly decreased DMN connectivity with the brain regions involved in visual processing in DNR patients than in non-DNR patients. …”

Simulations show that microSLAM improves power and false positive rates. by Miriam Goldman (21433180)

S1 Data - by Yoshiaki Nakagawa (524208)

“…<div><p>In paddy rice cultivation, the amount of water used during the beginning of the irrigation season is the highest. However, there is a possibility of a water shortage at this season as climate change decreases snowfall. …”

Estimating the global impact of poor quality of care on maternal and neonatal outcomes in 81 low- and middle-income countries: A modeling study by Victoria B. Chou (8149491)

“…Our findings indicate that if high-quality health systems could effectively deliver this subset of evidence-based interventions to mothers and their newborns who are already seeking care, there would be an estimated 28% decrease in maternal deaths, 28% decrease in neonatal deaths, and 22% fewer stillbirths compared to a scenario without any change or improvement in quality of care. …”

Data_Sheet_1_Staphylococcus aureus endocarditis: Identifying prognostic factors using a method derived from morbidity and mortality conferences.pdf by Benjamin Lefèvre (14222903)

“…Of the 56 candidate prognostic factors identified at the first step, 3 had a significant prognostic value in multivariate analysis: the prior use of non-steroidal anti-inflammatory drugs [aHR 3.60, 95% CI (1.59–8.15), p = 0.002]; the non-performance of valve surgery when indicated [aHR 1.85, 95% CI (1.01–3.39), p = 0.046]; and the decrease of vegetation size on antibiotic treatment [aHR 0.34, 95% CI (0.12–0.97), p = 0.044].…”

DataSheet1_Attenuating coherent environmental noise in seismic data via the U-net method.pdf by Yu-Tai Wu (14584727)

“…Its performance is controlled by network parameters and improved by minimizing misfits between true data and network estimates. A gain method is necessary to avoid the network’s parameter optimization being biased toward large values in data. …”

Transfer Learning in Large-Scale Gaussian Graphical Models with False Discovery Rate Control by Sai Li (307025)

“…Furthermore, we introduce a universal debiasing method that can be coupled with a range of initial graph estimators and can be analytically computed in one step. …”

Generative model-based decomposition of pupil-size measurements and example correction result. by Kyung Yoo (11851776)

Simulation results of MR-PL. by Anyi Yang (16643634)

“…A method failed to control type I error if its type I error rate exceeded the 0.05 nominal significance level (red dotted line). …”