Month-by-Month Surveillance Method Performance. by Ariel Greiner (9986971)

Effect of HPC silencing on phase-locking of PFC neurons to local theta. by Susanne S. Babl (21169261)

Importance of the predictor variables for estimating AGB using a random forest model. by Kasip Tiwari (22232186)

Singling Out the Electrochemiluminescence Profile in Microelectrode Arrays by Chiara Mariani (20716841)

“…Such precise control has significant implications for the development of highly sensitive and spatially resolved bioanalytical assays, particularly those employing bead-based detection methodologies.…”

Singling Out the Electrochemiluminescence Profile in Microelectrode Arrays by Chiara Mariani (20716841)

“…Such precise control has significant implications for the development of highly sensitive and spatially resolved bioanalytical assays, particularly those employing bead-based detection methodologies.…”

The framework of this study. by Yin Yu (3139023)

“…The results show that (1) the landscape pattern changed visibly from 2000 to 2020, the comprehensive land-use dynamics increased from 8.53% to 9.66%, and the land use dynamics are greatest and change most dramatically on construction sites; (2) the landscape ecological risk level of the study area as a whole showed a declining trend, and 96.82% of the ecological risk plot index decreased, and the risk distribution was dominated by lower risk, medium risk and higher risk areas; (3) landscape ecological risk was spatially positively correlated across all time periods, and the spatial aggregation was gradually weakened, with the distribution of LH and HL areas dispersed and the distribution of HH and LL areas concentrated. …”

Table 7_Temporal and spatial trends in gastric cancer burden in the USA from 1990 to 2021: findings from the global burden of disease study 2021.xlsx by Chengwei Zhan (18872651)

Table 4_Temporal and spatial trends in gastric cancer burden in the USA from 1990 to 2021: findings from the global burden of disease study 2021.xlsx by Chengwei Zhan (18872651)

Table 1_Temporal and spatial trends in gastric cancer burden in the USA from 1990 to 2021: findings from the global burden of disease study 2021.xlsx by Chengwei Zhan (18872651)

Table 3_Temporal and spatial trends in gastric cancer burden in the USA from 1990 to 2021: findings from the global burden of disease study 2021.xlsx by Chengwei Zhan (18872651)

Table 1_Spatial variability characteristics of soil physicochemical properties in fixed-axis and tracking tilted single-axis photovoltaic panels in qinghai desert areas.docx by Shengjuan Yue (22382485)

“…Soil water content (SWC) of FIX PV panels increased significantly (+74.74% under the panels, p < 0.001), and pH decreased. …”

Table 5_Temporal and spatial trends in gastric cancer burden in the USA from 1990 to 2021: findings from the global burden of disease study 2021.xlsx by Chengwei Zhan (18872651)

Table 8_Temporal and spatial trends in gastric cancer burden in the USA from 1990 to 2021: findings from the global burden of disease study 2021.xlsx by Chengwei Zhan (18872651)

Table 2_Temporal and spatial trends in gastric cancer burden in the USA from 1990 to 2021: findings from the global burden of disease study 2021.xlsx by Chengwei Zhan (18872651)

Table 6_Temporal and spatial trends in gastric cancer burden in the USA from 1990 to 2021: findings from the global burden of disease study 2021.xlsx by Chengwei Zhan (18872651)

Ecological risk level and area from 2000 to 2020. by Yin Yu (3139023)

“…The results show that (1) the landscape pattern changed visibly from 2000 to 2020, the comprehensive land-use dynamics increased from 8.53% to 9.66%, and the land use dynamics are greatest and change most dramatically on construction sites; (2) the landscape ecological risk level of the study area as a whole showed a declining trend, and 96.82% of the ecological risk plot index decreased, and the risk distribution was dominated by lower risk, medium risk and higher risk areas; (3) landscape ecological risk was spatially positively correlated across all time periods, and the spatial aggregation was gradually weakened, with the distribution of LH and HL areas dispersed and the distribution of HH and LL areas concentrated. …”

Area of land use types from 2000 to 2020. by Yin Yu (3139023)

“…The results show that (1) the landscape pattern changed visibly from 2000 to 2020, the comprehensive land-use dynamics increased from 8.53% to 9.66%, and the land use dynamics are greatest and change most dramatically on construction sites; (2) the landscape ecological risk level of the study area as a whole showed a declining trend, and 96.82% of the ecological risk plot index decreased, and the risk distribution was dominated by lower risk, medium risk and higher risk areas; (3) landscape ecological risk was spatially positively correlated across all time periods, and the spatial aggregation was gradually weakened, with the distribution of LH and HL areas dispersed and the distribution of HH and LL areas concentrated. …”

Spatial variation and clgassification of anthropogenic soils formed by long-term “<i>Dorotsuke”</i> soil-dressing in Andosols of the Omiya Upland along the Arakawa River, Japan by Shokichi Wakabayashi (3872428)

“…The two anthropogenic horizons exceeded 50 cm in thickness with different soil textures, while one of the other two showed significant mixing with Andosol. The profiles exhibited a vertical attenuation of andic characteristics, including increased bulk density, decreased short-range-order mineral content, and reduced phosphate retention, from the buried Andosol up to the topsoil. …”

Data Sheet 1_High spatial resolution gene expression profiling and characterization of neuroblasts migrating in the peri-injured cortex using photo-isolation chemistry.docx by Takuya Miyamoto (567070)

“…Experiments using primary cultured neuroblasts showed that application of TGF-β significantly decreased proliferating cells labeled with BrdU. …”

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)

“…Therefore, it is of great significance to analyze the characteristics and driving factors of temporal and spatial evolution on the basis of effective calculation and prediction of carbon emissions in various provinces for promoting high-quality economic development and realizing carbon emission reduction. …”