Spatial variation of water availability in Hebi. by Shaolei Guo (3146259)

“…The results indicate that: (1) During the study period, the overall land use type in Hebi City has been constantly changing, with the most significant conversion from arable land to other land types; combined with its landscape pattern index, Hebi City has a general characteristic of significant landscape fragmentation and complexity in land use. (2) Habitat quality in Hebi shows an overall trend towards better development, with water availability decreasing and then increasing; the zoning of ecosystem services in Hebi is divided into three classes: superior, good and general, with the area covered by the superior and general classes expanding year by year. (3) Correlation analysis by SPSS software shows that the correlation between habitat quality and landscape pattern index is greater than the correlation between habitat quality and climate change. …”

The significantly (<i>P</i> < 0.01) correlated unigenes based on transcriptome association analysis. by Xianyin Ding (12035544)

Subjects:

Genetic test outcome for all patients and family history breakdown for patients with negative genetic results. by Aiman Aslam (15213610)

Subjects:

Data set for study. by Aiman Aslam (15213610)

Subjects:

Summary of patient characteristics. by Aiman Aslam (15213610)

Subjects:

Global Moran’s I statistics and significance test value based on different proximity. by Yingying Yuan (9674249)

“…<p>Global Moran’s I statistics and significance test value based on different proximity.…”

Persistent AF decreases left atrial organizational index. by Terrence Pong (511730)

Subjects:

Incidence of influenza infections in the United States, South Korea, and Thailand. by Thanin Methiyothin (14659815)

Subjects:

Clustered provinces of Pandemic influenza in Thailand. by Thanin Methiyothin (14659815)

Subjects:

Monthly trend of influenza calculated per 100,000 people in Roi Et province and Maha Sarakham province during 2009–2011. by Thanin Methiyothin (14659815)

Subjects:

Weekly trend of COVID-19 calculated per 100,000 people in Roi Et province and Maha Sarakham province with major provinces during 2020–2022. by Thanin Methiyothin (14659815)

Subjects:

Monthly trend of influenza calculated per 100,000 people in Roi Et province and Maha Sarakham province with major provinces during 2017–2019. by Thanin Methiyothin (14659815)

Subjects:

The total number of passengers traveling to Thailand by airplane in 2019, categorized by country. by Thanin Methiyothin (14659815)

Subjects:

Monthly trend of influenza calculated per 100,000 people in Roi Et province and Maha Sarakham province during 2017–2019. by Thanin Methiyothin (14659815)

Subjects:

Monthly trend of influenza calculated per 100,000 people in Roi Et province and Maha Sarakham province with major provinces during 2009–2011. by Thanin Methiyothin (14659815)

Subjects:

Summary results from the clustering analysis of influenza and COVID-19 in Thailand. by Thanin Methiyothin (14659815)

Subjects:

Clustered provinces of Pandemic COVID-19 in Thailand. by Thanin Methiyothin (14659815)

Subjects:

Visualization of clustering analysis results for Endemic Influenza in Thailand. by Thanin Methiyothin (14659815)

Subjects:

Clustered provinces of Endemic influenza in Thailand. by Thanin Methiyothin (14659815)

Subjects:

Visualization of clustering analysis results for Pandemic Influenza in Thailand. by Thanin Methiyothin (14659815)

Subjects: