Comparison of classification performance across three models using confusion matrices and ROC curves. by Shima Ayyoubi Nezhad (21276429)

Expression of IFN and IFN-stimulated genes is highly upregulated in lung in lethal H5N1 influenza. by Jacqueline Corry (12275536)

Table2_Long-term monitoring of fish in a freshwater reservoir: Different ways of weighting complex spatial samples.DOCX by Gashaw C. Tesfaye (14249717)

“…All approaches consistently showed an increasing trend in whole-reservoir fish abundance and a decreasing trend in biomass over the study period. …”

Table1_Long-term monitoring of fish in a freshwater reservoir: Different ways of weighting complex spatial samples.DOCX by Gashaw C. Tesfaye (14249717)

“…All approaches consistently showed an increasing trend in whole-reservoir fish abundance and a decreasing trend in biomass over the study period. …”

Data_Sheet_1_Effect of dietary inflammatory potential on the aging acceleration for cardiometabolic disease: A population-based study.docx by Yuanlong Hu (5618291)

“…The each one-unit increase in CVH score was associated with a 1.58-years decrease in KDMAccel (β = −1.58, 95% CI = −1.68 to −1.49, P < 0.001) and a 0.36-years in PhenoAgeAccel (β = −0.36, 95% CI = −0.41 to −0.31, P < 0.001).…”

Pattern of interval correlations for the adaptive GIF model. by Lukas Ramlow (11349500)

“…Thus the adaptation can give rise to positive interval correlations and additional colored noise with varying correlation time initially decreases the SCCs for intermediate <i>τ</i>_<i>η</i> and eventually leads to enhanced positive correlations for large <i>τ</i>_<i>η</i>. …”

First serial correlation coefficient of the GIF model with respect to the correlated noise time constant <i>τ</i>_<i>η</i>. by Lukas Ramlow (11349500)

Lethal H5N1 influenza is associated with activation of antiviral and inflammatory pathways in lung. by Jacqueline Corry (12275536)

Data_Sheet_1_Predicting potential distributions of Monochamus saltuarius, a novel insect vector of pine wilt disease in China.docx by Ruihe Gao (16970337)

“…Using future climatic scenarios SSP126 and SSP585, the predicted suitable areas of M. saltuarius will continue to expand from that of 2040, 2070, and 2100, with highly and moderately suitable areas showing larger increasing trends but low suitable distribution areas will decrease to varying degrees. …”

Genetic evidence of causal relation between intestinal glucose absorption and early postprandial glucose response: a Mendelian randomization study by Simon Peschard (18154817)

“…The observational study linked a one standard deviation decrease in SGLT1 expression to a ∆30 glucose reduction of -0.097 mM/L. …”

Supplementary Material for: Comparison of Insulin, Metformin, and Glyburide on Perinatal Complications of Gestational Diabetes Mellitus: A Systematic Review and Meta-Analysis by Wang X. (2828795)

“…<b><i>Conclusions:</i></b> This review suggests that metformin can decrease the incidence of perinatal complications, and it should be considered as a generally safe alternative to insulin.…”

DataSheet1_Efficacy and safety of Ophiocordyceps sinensis in the treatment of Hashimoto’s thyroiditis: a systematic review and meta-analysis.zip by Maoying Wei (297986)

“…The GRADE system was used to assess the certainty of evidence.</p><p>Results: A total of 14 RCTs involving 1,014 patients with HT were included. …”

DataSheet_1_A Screening Study on Effects Varying Dietary Macronutrient Composition on Gut Functions in Lumpfish (Cyclopterus lumpus).zip by Weiwen Zhou (13140534)

“…The results showed that with increasing lipid level and corresponding decrease in protein level, there was a linear decrease in several of the observed biomarkers, including activity of brush border membrane digestive enzymes, expression of genes related to nutrient digestion and transport, ion exchange, immune regulation, and cell remodeling. …”

Table_3_The Advantage of Supine and Standing Heart Rate Variability Analysis to Assess Training Status and Performance in a Walking Ultramarathon.DOCX by Martina Anna Maggioni (8568585)

“…There were no significant differences in both supine and standing HRV between finishers (n = 14) and non-finishers (n = 11, mean distance 67 km). In finishers, a slower race velocity was significantly correlated with a higher decrease in parasympathetic drive during position change [larger decrease in High Frequency power normalized units (HF_nu: r = −0.7, p = 0.01) and higher increase in the detrended fluctuation analysis alpha 1 index (DFA1: r = 0.6, p = 0.04)]. …”

Table_1_The Advantage of Supine and Standing Heart Rate Variability Analysis to Assess Training Status and Performance in a Walking Ultramarathon.DOCX by Martina Anna Maggioni (8568585)

“…There were no significant differences in both supine and standing HRV between finishers (n = 14) and non-finishers (n = 11, mean distance 67 km). In finishers, a slower race velocity was significantly correlated with a higher decrease in parasympathetic drive during position change [larger decrease in High Frequency power normalized units (HF_nu: r = −0.7, p = 0.01) and higher increase in the detrended fluctuation analysis alpha 1 index (DFA1: r = 0.6, p = 0.04)]. …”

Image1_Clinical insights into tooth extraction via torsion method: a biomechanical analysis of the tooth-periodontal ligament complex.PDF by Jiawei Xing (11838517)

“…Moreover, the clinically validated model demonstrated that 74% of outcomes fell within the standard OTA range. In conclusion, the decrease in PDL area necessitated a larger angle for complete PDL tearing. …”

Table_5_The Advantage of Supine and Standing Heart Rate Variability Analysis to Assess Training Status and Performance in a Walking Ultramarathon.DOCX by Martina Anna Maggioni (8568585)

“…There were no significant differences in both supine and standing HRV between finishers (n = 14) and non-finishers (n = 11, mean distance 67 km). In finishers, a slower race velocity was significantly correlated with a higher decrease in parasympathetic drive during position change [larger decrease in High Frequency power normalized units (HF_nu: r = −0.7, p = 0.01) and higher increase in the detrended fluctuation analysis alpha 1 index (DFA1: r = 0.6, p = 0.04)]. …”

Image_1_The Advantage of Supine and Standing Heart Rate Variability Analysis to Assess Training Status and Performance in a Walking Ultramarathon.JPEG by Martina Anna Maggioni (8568585)

“…There were no significant differences in both supine and standing HRV between finishers (n = 14) and non-finishers (n = 11, mean distance 67 km). In finishers, a slower race velocity was significantly correlated with a higher decrease in parasympathetic drive during position change [larger decrease in High Frequency power normalized units (HF_nu: r = −0.7, p = 0.01) and higher increase in the detrended fluctuation analysis alpha 1 index (DFA1: r = 0.6, p = 0.04)]. …”

Table_4_The Advantage of Supine and Standing Heart Rate Variability Analysis to Assess Training Status and Performance in a Walking Ultramarathon.DOCX by Martina Anna Maggioni (8568585)

“…There were no significant differences in both supine and standing HRV between finishers (n = 14) and non-finishers (n = 11, mean distance 67 km). In finishers, a slower race velocity was significantly correlated with a higher decrease in parasympathetic drive during position change [larger decrease in High Frequency power normalized units (HF_nu: r = −0.7, p = 0.01) and higher increase in the detrended fluctuation analysis alpha 1 index (DFA1: r = 0.6, p = 0.04)]. …”

Table_2_The Advantage of Supine and Standing Heart Rate Variability Analysis to Assess Training Status and Performance in a Walking Ultramarathon.DOCX by Martina Anna Maggioni (8568585)

“…There were no significant differences in both supine and standing HRV between finishers (n = 14) and non-finishers (n = 11, mean distance 67 km). In finishers, a slower race velocity was significantly correlated with a higher decrease in parasympathetic drive during position change [larger decrease in High Frequency power normalized units (HF_nu: r = −0.7, p = 0.01) and higher increase in the detrended fluctuation analysis alpha 1 index (DFA1: r = 0.6, p = 0.04)]. …”