The influencing factors of RLM. by Yi Yu (28902)

“…Specifically, with every 1% increase in RLM, the likelihood of rural residents’ HWSW will decrease by 3.5%. This effect remains significant after a series of robustness checks. …”

Variable definitions and basic statistics. by Yi Yu (28902)

“…Specifically, with every 1% increase in RLM, the likelihood of rural residents’ HWSW will decrease by 3.5%. This effect remains significant after a series of robustness checks. …”

Average and marginal effects of RLM on HWSW. by Yi Yu (28902)

“…Specifically, with every 1% increase in RLM, the likelihood of rural residents’ HWSW will decrease by 3.5%. This effect remains significant after a series of robustness checks. …”

Patient selection flowchart. by Aihong Zheng (20571034)

Table of Mann-Whitney test results on lectin microarray. by Yiying Zhang (198443)

DataSheet1_Prognostic significance of fludeoxyglucose positron emission tomography delta radiomics following bridging therapy in patients with large B-cell lymphoma undergoing CAR... by Colton Ladbury (19768281)

TAD boundary stability for different noise amplitudes for all chromosomes. by Lucas Hedström (21688891)

Raw data underlying figures 1–7. by Alejandra Barrera-Rosales (21656278)

“…In M0 and M2 macrophages, the SMPs induced a mixed secretion of cytokines such as TNF-α, IL-10, and IL-12p40, and a significant decrease of TGF-β1. Recognizing the effects triggered by these SMPs on these cells of the innate immune system will allow us to propose rational uses for these SMPs in prophylactic and therapeutic vaccines intended to be used by the nasal/pulmonary route.…”

Flow chart of experimental protocol. by Eun-Seon Yang (19751340)

“…SBP showed an increasing trend, but this was not statistically significant (<i>p</i> = 0.108). Interestingly, we observed significant decreases in arterial stiffness and PWV in POST_VM when comparing with PRE_VM (<i>p</i><0.001 and <i>p</i><0.001, respectively). …”

A representative ultrasound axis image. by Eun-Seon Yang (19751340)

“…SBP showed an increasing trend, but this was not statistically significant (<i>p</i> = 0.108). Interestingly, we observed significant decreases in arterial stiffness and PWV in POST_VM when comparing with PRE_VM (<i>p</i><0.001 and <i>p</i><0.001, respectively). …”

The statistical data of the partial graph. by Si Yu Zhao (19544793)

“…Behavioral tests of both mutant and control strains revealed that the <i>rho-l</i>^{<i>△807</i>} mutant mosquitoes had a significant decrease in their ability to search for preferred oviposition sites that correlated with a reduced ability to recognize long-wavelength red light. …”

Experimental Design Flowchart. by Si Yu Zhao (19544793)

“…Behavioral tests of both mutant and control strains revealed that the <i>rho-l</i>^{<i>△807</i>} mutant mosquitoes had a significant decrease in their ability to search for preferred oviposition sites that correlated with a reduced ability to recognize long-wavelength red light. …”

Detailed table of two-tailed Pearson correlation analysis results between different phenotypic data tested above and lectin microarray results. by Yiying Zhang (198443)

Detailed table of two-tailed Spearman correlation analysis results between different phenotypic data and lectin microarray results. by Yiying Zhang (198443)

Two-tailed Spearman correlation analysis results between different phenotypic data tested above and lectin microarray results. by Yiying Zhang (198443)

Lectin microarray analysis of T/F and chronic HIV-1. by Yiying Zhang (198443)

Frequency of underweight among different age groups of women (15–49 years) in the 2019 SLDHS. by Nelson Onira Alema (12394528)

Correlation analysis of lectin microarray data. by Yiying Zhang (198443)

Passive sensing data. by Thierry Jean (20691795)

“…Results also showed that metrics that do not account for imbalance (mean absolute error, accuracy) systematically overestimated performance, XGBoost models performed on par with or better than LSTM models, and a significant yet very small decrease in performance was observed as the forecast horizon expanded. …”

Surveys. by Thierry Jean (20691795)

“…Results also showed that metrics that do not account for imbalance (mean absolute error, accuracy) systematically overestimated performance, XGBoost models performed on par with or better than LSTM models, and a significant yet very small decrease in performance was observed as the forecast horizon expanded. …”