Image_1_Development and Validation of a Nomogram Based on Geriatric Nutritional Risk Index to Predict Surgical Site Infection Among Gynecologic Oncology Patients.TIF by Zhihui Chen (89636)

“…A two-piecewise linear regression model with a smoothing function was used to investigate the non-linear association between GNRI and SSI to determine the ideal cut-off point. …”

Table_3_Development and Validation of a Nomogram Based on Geriatric Nutritional Risk Index to Predict Surgical Site Infection Among Gynecologic Oncology Patients.DOCX by Zhihui Chen (89636)

“…A two-piecewise linear regression model with a smoothing function was used to investigate the non-linear association between GNRI and SSI to determine the ideal cut-off point. …”

Table_2_Development and Validation of a Nomogram Based on Geriatric Nutritional Risk Index to Predict Surgical Site Infection Among Gynecologic Oncology Patients.DOCX by Zhihui Chen (89636)

“…A two-piecewise linear regression model with a smoothing function was used to investigate the non-linear association between GNRI and SSI to determine the ideal cut-off point. …”

Table_1_Development and Validation of a Nomogram Based on Geriatric Nutritional Risk Index to Predict Surgical Site Infection Among Gynecologic Oncology Patients.DOC by Zhihui Chen (89636)

“…A two-piecewise linear regression model with a smoothing function was used to investigate the non-linear association between GNRI and SSI to determine the ideal cut-off point. …”

Image_2_Development and Validation of a Nomogram Based on Geriatric Nutritional Risk Index to Predict Surgical Site Infection Among Gynecologic Oncology Patients.TIF by Zhihui Chen (89636)

“…A two-piecewise linear regression model with a smoothing function was used to investigate the non-linear association between GNRI and SSI to determine the ideal cut-off point. …”

Image_3_Development and Validation of a Nomogram Based on Geriatric Nutritional Risk Index to Predict Surgical Site Infection Among Gynecologic Oncology Patients.TIF by Zhihui Chen (89636)

“…A two-piecewise linear regression model with a smoothing function was used to investigate the non-linear association between GNRI and SSI to determine the ideal cut-off point. …”

DataSheet_2_Estimating Deep-Sea Fish Population Density From the Odour Extension Area: A Theoretical Basis and Comparison With the Conventional Methods.csv by Kunihiro Aoki (11772696)

“…Each area estimate is governed by the homogeneous Poisson process and, hence, its probability density follows an exponential distribution. A large uncertainty can occur for each area estimate (sample), but the uncertainty decreases as the number of samples used to derive the sample mean increases by the law of large numbers. …”

DataSheet_1_Estimating Deep-Sea Fish Population Density From the Odour Extension Area: A Theoretical Basis and Comparison With the Conventional Methods.pdf by Kunihiro Aoki (11772696)

“…Each area estimate is governed by the homogeneous Poisson process and, hence, its probability density follows an exponential distribution. A large uncertainty can occur for each area estimate (sample), but the uncertainty decreases as the number of samples used to derive the sample mean increases by the law of large numbers. …”

DataSheet_2_Estimating Deep-Sea Fish Population Density From the Odour Extension Area: A Theoretical Basis and Comparison With the Conventional Methods.csv by Kunihiro Aoki (11772696)

“…Each area estimate is governed by the homogeneous Poisson process and, hence, its probability density follows an exponential distribution. A large uncertainty can occur for each area estimate (sample), but the uncertainty decreases as the number of samples used to derive the sample mean increases by the law of large numbers. …”

DataSheet_1_Estimating Deep-Sea Fish Population Density From the Odour Extension Area: A Theoretical Basis and Comparison With the Conventional Methods.pdf by Kunihiro Aoki (11772696)

“…Each area estimate is governed by the homogeneous Poisson process and, hence, its probability density follows an exponential distribution. A large uncertainty can occur for each area estimate (sample), but the uncertainty decreases as the number of samples used to derive the sample mean increases by the law of large numbers. …”

Median posterior predictive probability (and variability, shaded) of disease as a function of age for six combinations of PCR and DPP reader (interval) test results for simulated d... by Marie V. Ozanne (5841473)

Vitamin D status and risk of incident tuberculosis disease: A nested case-control study, systematic review, and individual-participant data meta-analysis by Omowunmi Aibana (488282)

“…The aOR for severe vitamin D deficiency was 2.05 (95% CI 0.87–4.87; <i>p</i> trend for decreasing 25–(OH)D levels from sufficient vitamin D to severe deficiency = 0.02). …”

Image_2_Association of heavy metals exposure with lower blood pressure in the population aged 8–17 years: a cross-sectional study based on NHANES.TIF by Yongzhou Liang (13878248)

“…Conversely, barium (2.39 μg/L, 95%CI: 2.25, 2.54) showed a positive association with increased SBP. A 25th percentile increase in the WQS index is significantly associated with a decrease in SBP of 0.67 mmHg (95%CI, −1.24, −0.10) and a decrease in DBP of 0.59 mmHg (95% CI, −1.06, −0.12), which remains statistically significant even after adjusting for weight. …”

Image_4_Association of heavy metals exposure with lower blood pressure in the population aged 8–17 years: a cross-sectional study based on NHANES.TIF by Yongzhou Liang (13878248)

“…Conversely, barium (2.39 μg/L, 95%CI: 2.25, 2.54) showed a positive association with increased SBP. A 25th percentile increase in the WQS index is significantly associated with a decrease in SBP of 0.67 mmHg (95%CI, −1.24, −0.10) and a decrease in DBP of 0.59 mmHg (95% CI, −1.06, −0.12), which remains statistically significant even after adjusting for weight. …”

Image_3_Association of heavy metals exposure with lower blood pressure in the population aged 8–17 years: a cross-sectional study based on NHANES.TIF by Yongzhou Liang (13878248)

“…Conversely, barium (2.39 μg/L, 95%CI: 2.25, 2.54) showed a positive association with increased SBP. A 25th percentile increase in the WQS index is significantly associated with a decrease in SBP of 0.67 mmHg (95%CI, −1.24, −0.10) and a decrease in DBP of 0.59 mmHg (95% CI, −1.06, −0.12), which remains statistically significant even after adjusting for weight. …”

Image_5_Association of heavy metals exposure with lower blood pressure in the population aged 8–17 years: a cross-sectional study based on NHANES.TIF by Yongzhou Liang (13878248)

“…Conversely, barium (2.39 μg/L, 95%CI: 2.25, 2.54) showed a positive association with increased SBP. A 25th percentile increase in the WQS index is significantly associated with a decrease in SBP of 0.67 mmHg (95%CI, −1.24, −0.10) and a decrease in DBP of 0.59 mmHg (95% CI, −1.06, −0.12), which remains statistically significant even after adjusting for weight. …”

Image_1_Association of heavy metals exposure with lower blood pressure in the population aged 8–17 years: a cross-sectional study based on NHANES.TIF by Yongzhou Liang (13878248)

“…Conversely, barium (2.39 μg/L, 95%CI: 2.25, 2.54) showed a positive association with increased SBP. A 25th percentile increase in the WQS index is significantly associated with a decrease in SBP of 0.67 mmHg (95%CI, −1.24, −0.10) and a decrease in DBP of 0.59 mmHg (95% CI, −1.06, −0.12), which remains statistically significant even after adjusting for weight. …”

Table 1_An L-shaped link between the composite dietary antioxidant index and human papillomavirus infection in women: a US population-based study.docx by Yuhua Li (52681)

“…RCS results elicited a non-linear link (P-non-linear = 0.043). VE and zinc intake were negatively linked to HPV infection (both p < 0.05). …”

<i>Ssdp</i> overexpression alters morphology of wing, mechanosensory bristles, and head. by Safa Salim (9186786)

Regioselective Ring Expansion of 3‑Ylideneoxindoles with Tosyldiazomethane (TsDAM): A Metal-Free and Greener Approach for the Synthesis of Pyrazolo-[1,5‑<i>c</i>]quinazolines by Gopathi Ramu (5805032)

“…The method is also compatible with a large variety of functional groups, providing good to excellent yields in water, thus resulting in a decrease of environmental impact in the pharmaceutical industry.…”