Colored Gold Ions Enabled High-Transparent and Low-Haze Cellulose Films with Excellent Flame-Retardant and UV to Blue Light-Blocking Performance by Qiu Fu (10830823)

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Colored Gold Ions Enabled High-Transparent and Low-Haze Cellulose Films with Excellent Flame-Retardant and UV to Blue Light-Blocking Performance by Qiu Fu (10830823)

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Colored Gold Ions Enabled High-Transparent and Low-Haze Cellulose Films with Excellent Flame-Retardant and UV to Blue Light-Blocking Performance by Qiu Fu (10830823)

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Decreased clonogenic capacity of U87MG and U251MG GB cells following treatment with SHG-44 and cis-platin at equal concentrations. by Denis Mustafov (19137870)

S1 Dataset - by Yue He (385239)

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Schematic diagram of FlexiVent lung function detection. by Yue He (385239)

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Changes in lung function of mice exposed to continuous inhalation of CS. by Yue He (385239)

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Changes in sRAGE levels in BALF after 120 consecutive days of CS exposure. by Yue He (385239)

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

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Changes in inflammatory cell count in BALF of mice exposed to continuous CS inhalation. by Yue He (385239)

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Correlation between sRAGE levels and pulmonary dysfunction and inflammatory response in CS exposed 120 day group mice. by Yue He (385239)

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Changes in the expression of inflammatory cytokines in BALF of mice exposed to continuous CS inhalation. by Yue He (385239)

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Comparison of body weight gain between control group and cigarette smoke exposed group mice. by Yue He (385239)

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Datasets used in the study. by Rajon Banik (12066099)

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Data Sheet 1_Increasing donor kidney age significantly aggravates the negative effect of pretransplant donor-specific anti-HLA antibodies on kidney graft survival.pdf by Michiel G. H. Betjes (8407413)

“…The incidence of ABMR was not associated with donor kidney age. However, increasing donor kidney age significantly aggravated the negative effect of preDSA on graft survival. …”

Ni causes a decrease in membrane sterols in A549 lung epithelial cells. by Amber R. Matha (19681603)

ERI Thresholds Between Adjacent Zones. by Mingyue Sun (4638535)

“…The thresholds of the ERI in the oasis zone-transition zone and the transition zone-desert zone were 0.08–0.085 and 0.111–0.118, respectively. (2) Socioeconomic factors, including infrastructure expansion, population density, and GDP, were dominant influences, contributing 64% to the ERI, whereas the influence of natural factors such as climate declined. (3) The low-ERI areas increased by 3.3% under government control, and the transition zones increased significantly, slowing the growth rate of the oasis zone. …”

Location of the study area. by Mingyue Sun (4638535)

“…The thresholds of the ERI in the oasis zone-transition zone and the transition zone-desert zone were 0.08–0.085 and 0.111–0.118, respectively. (2) Socioeconomic factors, including infrastructure expansion, population density, and GDP, were dominant influences, contributing 64% to the ERI, whereas the influence of natural factors such as climate declined. (3) The low-ERI areas increased by 3.3% under government control, and the transition zones increased significantly, slowing the growth rate of the oasis zone. …”

Random Forest structure with cross-validation. by Mingyue Sun (4638535)

“…The thresholds of the ERI in the oasis zone-transition zone and the transition zone-desert zone were 0.08–0.085 and 0.111–0.118, respectively. (2) Socioeconomic factors, including infrastructure expansion, population density, and GDP, were dominant influences, contributing 64% to the ERI, whereas the influence of natural factors such as climate declined. (3) The low-ERI areas increased by 3.3% under government control, and the transition zones increased significantly, slowing the growth rate of the oasis zone. …”

Land use change from 1990 to 2020. by Mingyue Sun (4638535)

“…The thresholds of the ERI in the oasis zone-transition zone and the transition zone-desert zone were 0.08–0.085 and 0.111–0.118, respectively. (2) Socioeconomic factors, including infrastructure expansion, population density, and GDP, were dominant influences, contributing 64% to the ERI, whereas the influence of natural factors such as climate declined. (3) The low-ERI areas increased by 3.3% under government control, and the transition zones increased significantly, slowing the growth rate of the oasis zone. …”