Characteristics of Study Participants. by Alix Boisson-Walsh (17847176)

“…We observed statistically significant declines across all five vaccine confidence domains when comparing responses before and during the pandemic (<i>p</i> < 0.01): vaccines prevent diseases (85.4%-68.3%), are safe (80.5%-46.3%), important for a child’s health (92.7%-87.8%) and one’s own health (87.8%-68.3%), and new vaccines carry no more risk than routine vaccines (78.1%-63.5%). …”

Raw data of influencing factors. by Jie Huang (104235)

“…Spatially, the CCD demonstrates a characteristic pattern of decreasing from east to west. Overall, achieving a “cross-level transition” in CCD is challenging, and the neighboring provinces significantly influence the enhancement of local CCD. …”

Influencing factor index system. by Yunxia Zhang (30848)

“…The results show that: (1) the level of non-grain of cultivated land in Lianyungang City increased gradually from 6.01% to 11.10% from 2002 to 2022, and grain cultivation was mainly shifted to greenhouse vegetables, construction and development and abandonment. (2) the level of non-grain of cultivated land showed a spatial pattern of high along the north-west-south-east and decreasing to the two sides, and the pattern showed a trend of gradual weakening, with Moran’s I decreased from 0.90 to 0.42. (3) The dominant factors of the spatial differentiation of non-grain of cultivated land in different periods are different, among which GDP, population density, NDVI, and precipitation are always the main influencing factors. …”

Selection and description of influencing factors. by Wenqi Li (137889)

“…<div><p>Exploring the spatial structure of residential land prices within metropolitan areas is crucial for identifying regional development disparities. It holds significant practical value for guiding the rational allocation of resources, optimizing land use efficiency, and promoting collaborative development across the metropolitan region. …”

Experimental design of this study. by Renya Kawakami (20469088)

“…However, with regards to post-copulatory sexual selection, male reproductive success might be influenced by decreasing sperm quality with male age and the interaction between aging and mating experience in males. …”

All relevant data of this study. by Renya Kawakami (20469088)

“…However, with regards to post-copulatory sexual selection, male reproductive success might be influenced by decreasing sperm quality with male age and the interaction between aging and mating experience in males. …”

ROC Results Predicted in the Sample. by Fangyi Yang (18867853)

“…The model estimation results indicate that passenger patience significantly influences drop-off decisions. All models—static, dynamic, and Cox proportional hazards—achieved prediction accuracies exceeding 70%, with the dynamic model outperforming others when ample sample data is available. …”

ROC Results Predicted for Out of the Sample. by Fangyi Yang (18867853)

“…The model estimation results indicate that passenger patience significantly influences drop-off decisions. All models—static, dynamic, and Cox proportional hazards—achieved prediction accuracies exceeding 70%, with the dynamic model outperforming others when ample sample data is available. …”

Melt Memory Effect on Biaxially Oriented Random Copolyamides: Direct Evidence for Stretch-Induced Crystal Retention above the Equilibrium Melting Point by Yunqi Xu (349428)

“…In the processing of semicrystalline polymers, the oriented crystal through flow-induced crystallization (FIC) represents a significant phenomenon that can profoundly influence the final properties of materials. …”

The result of molecular dynamics simulation. by Ashraf Attia Mahmoud (21262201)

“…The docking research indicated that these mutations decreased the binding affinity for DNA, with R273C, R280G, G266E, and G105C displaying the most significant differences. …”

Result of the phenotypic analysis. by Ashraf Attia Mahmoud (21262201)

“…The docking research indicated that these mutations decreased the binding affinity for DNA, with R273C, R280G, G266E, and G105C displaying the most significant differences. …”

Type of Mutations. by Ashraf Attia Mahmoud (21262201)

“…The docking research indicated that these mutations decreased the binding affinity for DNA, with R273C, R280G, G266E, and G105C displaying the most significant differences. …”

Transcriptional analysis of <i>L. infantum</i>-infected macrophages from female and male donors 16 hpi. by Annika Bea (17686341)

Transcriptional analysis of <i>L. infantum</i>-infected macrophages from female and male donors 6 hpi. by Annika Bea (17686341)

Transcriptional analysis of <i>L. infantum</i>-infected macrophages from female and male donors. by Annika Bea (17686341)

Baseline characteristics. by Daniela Sánchez-Santiesteban (21192342)

“…</p><p>Conclusion</p><p>Significant income-based disparities in colorectal cancer survival were observed among formal employees in Colombia despite the theoretically equitable healthcare system. …”

List of drug resistance gene. by Shuai Huang (60512)

“…Additionally, 16S rRNA species profiling revealed that the composting process significantly altered the microbial community structure, with an increased abundance of Firmicutes and a decreased abundance of Bacteroidetes in composted pig manure. …”

Serves as the data source for Figs 1 and 2. by Shuai Huang (60512)

“…Additionally, 16S rRNA species profiling revealed that the composting process significantly altered the microbial community structure, with an increased abundance of Firmicutes and a decreased abundance of Bacteroidetes in composted pig manure. …”

Primers sequences of drug resistance genes. by Shuai Huang (60512)

“…Additionally, 16S rRNA species profiling revealed that the composting process significantly altered the microbial community structure, with an increased abundance of Firmicutes and a decreased abundance of Bacteroidetes in composted pig manure. …”

Serves as the data source for Fig 3. by Shuai Huang (60512)

“…Additionally, 16S rRNA species profiling revealed that the composting process significantly altered the microbial community structure, with an increased abundance of Firmicutes and a decreased abundance of Bacteroidetes in composted pig manure. …”