Comparison of soil moisture in different microtoporaphies (Note: Different letters in the same column indicate significant differences (P < 0.05)). by Qingping Gou (22641045)

Distribution of the same ingredient across different IDDSI levels (Percentages and frequencies) and statistical significance analysis (Chi-square analysis). by Muxi Chen (9294270)

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The 160 differentially expressed proteins significantly elevated in the severe injury group compared to the mild injury group and their folding changes. by Huiyang Jia (14444661)

The impact of on payoffs in NAADBG. by Jun Chen (4238)

“…This paper introduces a novel Bayesian game framework—the Node-Based Attribution Attack-Defense Bayesian Game (NAADBG) Model—to address these challenges in IoT networks. …”

The impact of on payoffs in NAADBG. by Jun Chen (4238)

“…This paper introduces a novel Bayesian game framework—the Node-Based Attribution Attack-Defense Bayesian Game (NAADBG) Model—to address these challenges in IoT networks. …”

The impact of on payoffs in NAADBG. by Jun Chen (4238)

“…This paper introduces a novel Bayesian game framework—the Node-Based Attribution Attack-Defense Bayesian Game (NAADBG) Model—to address these challenges in IoT networks. …”

The impact of <i>N</i> on payoffs in NAADBG. by Jun Chen (4238)

“…This paper introduces a novel Bayesian game framework—the Node-Based Attribution Attack-Defense Bayesian Game (NAADBG) Model—to address these challenges in IoT networks. …”

The impact of <i>β</i> on payoffs in NAADBG. by Jun Chen (4238)

“…This paper introduces a novel Bayesian game framework—the Node-Based Attribution Attack-Defense Bayesian Game (NAADBG) Model—to address these challenges in IoT networks. …”

The impact of <i>λ</i> on payoffs in NAADBG. by Jun Chen (4238)

“…This paper introduces a novel Bayesian game framework—the Node-Based Attribution Attack-Defense Bayesian Game (NAADBG) Model—to address these challenges in IoT networks. …”

Water level changes in the foresight scenarios. by Zihao Duan (17403792)

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Water level changes in the Caspian Sea. by Zihao Duan (17403792)

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Methods used to extract shoreline changes. by Zihao Duan (17403792)

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Coastline variations in different years. Map data were generated with Natural Earth (http://www.naturalearthdata.com/). by Zihao Duan (17403792)

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Study area of the Caspian Sea. by Zihao Duan (17403792)

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Morlet wavelet power spectrum of the sea level. by Zihao Duan (17403792)

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(a) Change rates were calculated for each transect along the coastlines from 1985 to 2023; (b) Coastline change rates of the Caspian Sea based on the EPR and LRR. by Zihao Duan (17403792)

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Water surface transitions from 1984 to 2021. The map data were generated by the Global Surface Water Explorer (https://global-surface-water.appspot.com/faq). by Zihao Duan (17403792)

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The coastline changes of the Aral Sea from 1960 to 2023. Land cover data are from LANDSAT 8 ( by Zihao Duan (17403792)

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Coastal area changes during the period 1985–2023. by Zihao Duan (17403792)

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(a) Surface area and volume change with water level; (b) Topographic changes in the Caspian Sea. by Zihao Duan (17403792)

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