Sensitivity to small changes. by Ariel Burman (20329776)

Statins resulted in smaller neuronal soma size. by Shuk C. Tsoi (21192243)

Effect of Bcl-xl on the tumorigenicity of MDCK cells in nude mice. by Jiahao Zheng (807470)

Innovation and night light in large and small cities. by Saul Estrin (8629173)

Effect of <i>BgILP8</i> RNAi on secretory cell length and protein in <i>Blattella germanica.</i> by Viviana Pagone (22086362)

Microplastics Influence Dissolved Organic Matter Transformation Mediated by Microbiomes in Soil Aggregates by Xinran Qiu (9182255)

“…In this process, microbial communities play a significant role. They tend to consume DOM in larger aggregates and produce DOM in smaller aggregates, leading to an accumulation of DOM in smaller aggregates, thereby promoting the formation of smaller aggregates and reducing the aggregate stability. …”

Data Sheet 1_Ultra-small curcumin-ruthenium coordination polymer nanodots prevent renal ischemia-reperfusion injury and the progression to chronic kidney disease.docx by Xian Liu (191882)

“…To enhance the dispersibility of these nanoparticles in water, polyvinylpyrrolidone (PVP) was used as a growth aid, resulting in highly stable nanodots with sizes smaller than 10 nm. The results indicated that Ru/Cur nanodots effectively eliminated various ROS and demonstrated significant therapeutic effects and biocompatibility in IR-AKI mice, reducing markers of kidney function damage, alleviating renal oxidative stress, and decreasing inflammatory cell infiltration. …”

Supplementary file 1_Spatial-temporal evolution characteristics and driving factors of carbon emission prediction in China-research on ARIMA-BP neural network algorithm.pdf by Sanglin Zhao (20915732)

“…The results show that: (1) From 2000 to 2035, China’s total carbon emissions increased year by year, but the growth rate of carbon emissions gradually decreased; The carbon emission structure is “secondary industry > residents’ life > tertiary industry > primary industry”, and the growth rate of carbon in secondary industry and residents’ life is faster, while the change trend of primary industry and tertiary industry is smaller; (2) The spatial distribution of carbon emissions in China’s provinces presents a typical pattern of “eastern > central > western” and “northern > southern”, and the carbon emission centers tend to move to the northwest; (3) The regions with high level of digital economy, advanced industrial structure and new quality productivity have relatively less carbon emissions, which has significant group difference effect; (4) The intensity effect of energy consumption is the main factor driving the continuous growth of carbon emissions, while the per capita GDP and the structure effect of energy consumption are the main factors restraining carbon emissions, while the effects of industrial structure and population size are relatively small. …”