Performances of the three machine learning models based on ten-fold cross-validation and walk-forward validation: Multiple linear regression (MLR), random forest (RF), and a deep n... by Yingjie Hu (1579000)

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Model fit for Mixed-Effects Multi-linear Regressions with PSS as a continuous outcome measure. by Laura S. P. Bloomfield (3820531)

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Percentage change in COVID-19 laCFR given a 1 unit increase in the variable for each individual variable (shown in black dots) and 95% confidence interval (shown in red), using tra... by Jess A. Millar (2635135)

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Differences in PAB of young children with increasing age [N (%)]. by Xin Xiong (113595)

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The schematic diagram of the change law of the internal pores of the sample during the freeze-thaw cycle. by Hongqi Wang (2208238)

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Change in rectal temperature following pre-medication, induction and inhalant anesthesia. by Jacob P. Rastas (20642173)

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Scaling of overall health burden with yearly expenditure growth. by Margherita Molaro (17803989)

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Participants inclination toward gambling exhibited a significant increase as the reward magnitude and reward probability increased. by Yasuhiro Mochizuki (3308349)

Pathological changes in lung tissue of mice exposed to continuous inhalation of CS. by Yue He (385239)

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Differences in PH levels of young children with increasing age [N (%)]. by Xin Xiong (113595)

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Decrease of soil acidity has greater effects than increase of aboveground carbon inputs on soil organic carbon in terrestrial ecosystems of China under nitrogen enrichment by xiaofei Lu (11679673)

“…<a>Although the meta-analysis revealed that N addition significantly enhanced plant biomass and SOC concentration across the selected studies, we found that SOC concentration was independent of, or even decreased with, the enhanced plant biomass due to increased soil C loss as increasing organic C inputs. …”

Succinate and Sucnr1 levels were significantly increased. by Jiaqi Wang (369548)

Model fit for Mixed-Effects Multi-linear Regressions with PSS-Moderate (PSS> = 14) as a binary outcome measure. by Laura S. P. Bloomfield (3820531)

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Trends in the days of sulfamethoxazole-trimethoprim therapy per 100 patients, by month, during Phases 1 to 4. by Naoya Itoh (6029276)

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Trends in in-hospital mortality by month during the pre-intervention period (Phase 1) and interventional period (Phases 2–4). by Naoya Itoh (6029276)

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Trends in the days of cefalexin therapy per 100 patients, by month, during Phases 1 to 4. by Naoya Itoh (6029276)

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Trends in the days of quinolone therapy per 100 patients, by month, during Phases 1 to 4. by Naoya Itoh (6029276)

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Trends in the length of hospital stay by month during the pre-intervention period (Phase 1) and interventional period (Phases 2–4). by Naoya Itoh (6029276)

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Trends in the days of macrolides therapy per 100 patients, by month, during Phases 1 to 4. by Naoya Itoh (6029276)

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Trends in the days of amoxicillin and amoxicillin-clavulanate therapy per 100 patients, by month, during Phases 1 to 4. by Naoya Itoh (6029276)

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