Glial 5-HT_2a receptors are necessary and rate limiting for experience-dependent synaptic glomeruli pruning. by Vanessa Kay Miller (19775496)

“…The Or42a OSN innervation volume with glial <i>5-HT</i>_<i>2A</i><i>R</i> OE is very significantly decreased in comparison to the control EB condition (<i>p</i> = 4.64 × 10⁻¹⁰). …”

Data Sheet 1_Global burden, trends and inequalities of maternal hypertensive disorders among reproductive-age women of advanced maternal age, 1990–2021: a population-based study.pd... by Xuanyu Zhao (5881895)

“…</p>Conclusion<p>Despite overall declines in MHD burden, significant disparities persist, particularly in low SDI regions. …”

Supplementary Material for: Abnormal Magnetic Resonance Imaging in the Medial Prefrontal Cortex Following Prenatal Alcohol Exposure and Placental Insufficiency in a Preclinical Mod... by figshare admin karger (2628495)

“…In the corpus callosum, the prenatal exposure/insult significantly decreased the AD (p<0.05; PAE+PI AD: 5.00x10-4 ± 4.60x10-5 mm2/s). …”

LRIG1 and CDK6 expression in the lateral ventricular wall cells by Hyung-song Nam (8914220)

“…Although the <i>Cdk6</i> mRNA decreases significantly in the neuroblasts, the DCX+ neuroblasts still show a lot of td-sfGFP immunoreactivity.…”

Table 6_Analyze agricultural efficiency and influencing factors base on the three-stage DEA model and Malmquist index.xlsx by Lin-Feng Wang (10944843)

“…Environmental factors exhibit heterogeneous impacts: rural disposable income is significantly negatively correlated with input slack at the 0.01 level, indicating that higher income motivates labor participation and planting expansion; industrialization is significantly positively correlated with input slack at the 0.01 level, suggesting that industrial development may crowd out agricultural resources. …”

Table 7_Analyze agricultural efficiency and influencing factors base on the three-stage DEA model and Malmquist index.xlsx by Lin-Feng Wang (10944843)

“…Environmental factors exhibit heterogeneous impacts: rural disposable income is significantly negatively correlated with input slack at the 0.01 level, indicating that higher income motivates labor participation and planting expansion; industrialization is significantly positively correlated with input slack at the 0.01 level, suggesting that industrial development may crowd out agricultural resources. …”

Table 5_Analyze agricultural efficiency and influencing factors base on the three-stage DEA model and Malmquist index.xlsx by Lin-Feng Wang (10944843)

“…Environmental factors exhibit heterogeneous impacts: rural disposable income is significantly negatively correlated with input slack at the 0.01 level, indicating that higher income motivates labor participation and planting expansion; industrialization is significantly positively correlated with input slack at the 0.01 level, suggesting that industrial development may crowd out agricultural resources. …”

Table 3_Analyze agricultural efficiency and influencing factors base on the three-stage DEA model and Malmquist index.xlsx by Lin-Feng Wang (10944843)

“…Environmental factors exhibit heterogeneous impacts: rural disposable income is significantly negatively correlated with input slack at the 0.01 level, indicating that higher income motivates labor participation and planting expansion; industrialization is significantly positively correlated with input slack at the 0.01 level, suggesting that industrial development may crowd out agricultural resources. …”

Table 4_Analyze agricultural efficiency and influencing factors base on the three-stage DEA model and Malmquist index.xlsx by Lin-Feng Wang (10944843)

“…Environmental factors exhibit heterogeneous impacts: rural disposable income is significantly negatively correlated with input slack at the 0.01 level, indicating that higher income motivates labor participation and planting expansion; industrialization is significantly positively correlated with input slack at the 0.01 level, suggesting that industrial development may crowd out agricultural resources. …”

Table 2_Analyze agricultural efficiency and influencing factors base on the three-stage DEA model and Malmquist index.xlsx by Lin-Feng Wang (10944843)

“…Environmental factors exhibit heterogeneous impacts: rural disposable income is significantly negatively correlated with input slack at the 0.01 level, indicating that higher income motivates labor participation and planting expansion; industrialization is significantly positively correlated with input slack at the 0.01 level, suggesting that industrial development may crowd out agricultural resources. …”

Table 1_Analyze agricultural efficiency and influencing factors base on the three-stage DEA model and Malmquist index.xlsx by Lin-Feng Wang (10944843)

“…Environmental factors exhibit heterogeneous impacts: rural disposable income is significantly negatively correlated with input slack at the 0.01 level, indicating that higher income motivates labor participation and planting expansion; industrialization is significantly positively correlated with input slack at the 0.01 level, suggesting that industrial development may crowd out agricultural resources. …”

Data Sheet 1_Rapid reshaping of the soil microbiome and metabolome during short-term flooding and draining in rice.docx by Yanyao Lu (22163632)

“…Notable differences in bacterial abundance were detected between the R4 and R5 groups. At the phylum level, the dominant bacterial communities primarily comprised Actinobacteriota and Chloroflexi, with the bacterial community structure being significantly influenced by drainage. …”

Table 3_Rapid reshaping of the soil microbiome and metabolome during short-term flooding and draining in rice.xlsx by Yanyao Lu (22163632)

“…Notable differences in bacterial abundance were detected between the R4 and R5 groups. At the phylum level, the dominant bacterial communities primarily comprised Actinobacteriota and Chloroflexi, with the bacterial community structure being significantly influenced by drainage. …”

Table 2_Rapid reshaping of the soil microbiome and metabolome during short-term flooding and draining in rice.xlsx by Yanyao Lu (22163632)

“…Notable differences in bacterial abundance were detected between the R4 and R5 groups. At the phylum level, the dominant bacterial communities primarily comprised Actinobacteriota and Chloroflexi, with the bacterial community structure being significantly influenced by drainage. …”

Data Sheet 2_Rapid reshaping of the soil microbiome and metabolome during short-term flooding and draining in rice.docx by Yanyao Lu (22163632)

“…Notable differences in bacterial abundance were detected between the R4 and R5 groups. At the phylum level, the dominant bacterial communities primarily comprised Actinobacteriota and Chloroflexi, with the bacterial community structure being significantly influenced by drainage. …”

Table 4_Rapid reshaping of the soil microbiome and metabolome during short-term flooding and draining in rice.xlsx by Yanyao Lu (22163632)

“…Notable differences in bacterial abundance were detected between the R4 and R5 groups. At the phylum level, the dominant bacterial communities primarily comprised Actinobacteriota and Chloroflexi, with the bacterial community structure being significantly influenced by drainage. …”

Data Sheet 4_Rapid reshaping of the soil microbiome and metabolome during short-term flooding and draining in rice.docx by Yanyao Lu (22163632)

“…Notable differences in bacterial abundance were detected between the R4 and R5 groups. At the phylum level, the dominant bacterial communities primarily comprised Actinobacteriota and Chloroflexi, with the bacterial community structure being significantly influenced by drainage. …”

Table 14_Rapid reshaping of the soil microbiome and metabolome during short-term flooding and draining in rice.xlsx by Yanyao Lu (22163632)

“…Notable differences in bacterial abundance were detected between the R4 and R5 groups. At the phylum level, the dominant bacterial communities primarily comprised Actinobacteriota and Chloroflexi, with the bacterial community structure being significantly influenced by drainage. …”

Table 9_Rapid reshaping of the soil microbiome and metabolome during short-term flooding and draining in rice.docx by Yanyao Lu (22163632)

“…Notable differences in bacterial abundance were detected between the R4 and R5 groups. At the phylum level, the dominant bacterial communities primarily comprised Actinobacteriota and Chloroflexi, with the bacterial community structure being significantly influenced by drainage. …”

DataSheet1_Inversion and analysis of transparency changes in the eastern coastal waters of China from 2003 to 2023 by an improved QAA-based method.docx by Shuhui Cao (10338737)

“…As for the long-term changes, the number of pixels with significantly increased Zsd and those with significantly decreased Zsd and no significant changes accounted for 20.84%, 1.14%, and 78.02%, respectively. …”