Ornithology: More than 31,000 birds (study skins or mounted), eggs, and nests. In 2015-2017 we are reorganizing and rehousing the entire collection under a National Science Foundation CSBR grant.
Mammalogy: More than 5,000 study skins, skulls, skeletons, fluid-preserved specimens, and mounted specimens. Our collection includes specimens collected by John Bowles which were transferred from Central College.
Other vertebrates: A small number of reptiles, fish, and amphibians.

Stress Urinary Incontinence (SUI) in young collegiate females refers to the involuntary leakage of urine during physical activities that increase intra-abdominal pressure, such as coughing, sneezing, laughing, or exercising. Though often associated with older women or childbirth, SUI can also affect young, active females due to factors like high-impact sports, weak pelvic floor muscles, or lifestyle habits. This condition may significantly impact their confidence, participation in physical activities, and overall quality of life.

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Sui is a Layer 1 blockchain which aims to overcome blockchain limitations of slow speeds, high costs, and complex onboarding to make Web3 accessible and efficient for a wide range of users. Sui is built by Mysten labs, a blockchain infrastructure company founded by four ex-Meta engineers who worked on the Diem blockchain project. Sui leverages the Move programming language for smart contract development, offering resource safety and formal verification for secure development. Data freshness can range between minutes to hours depending on chain activity and transaction volumes. Questions? Please reach out to cloud-blockchain-analytics-help@google.com

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Based on professional technical analysis and AI models, deliver precise price‑prediction data for Sui on 2025-09-02. Includes multi‑scenario analysis (bullish, baseline, bearish), risk assessment, technical‑indicator insights and market‑trend forecasts to help investors make informed trading decisions and craft sound investment strategies.

Blockchain data dashboard: SUI overview

SPACE USE INDEX CALCULATIONLek coordinates and associated trend count data were obtained from the 2013 Nevada Sage-grouse Lek Database compiled by the Nevada Department of Wildlife (NDOW, S. Espinosa, 9/10/2013). We queried the database for leks with a ‘LEKSTATUS’ field classified as ‘Active’ or ‘Pending’. Active leks comprised leks with breeding males observed within the last 5 years. Pending leks comprised leks without consistent breeding activity during the prior 3 – 5 surveys or had not been surveyed during the past 5 years; these leks typically trended towards ‘inactive’. A sage-grouse management area (SGMA) was calculated by buffering Population Management Units developed by NDOW by 10km. This included leks from the Buffalo-Skedaddle PMU that straddles the northeastern California – Nevada border, but excluded leks for the Bi-State Distinct Population Segment. The 5-year average (2009 – 2013) for the number of males grouse (or unknown gender if males were not identified) attending each lek was calculated. The final dataset comprised 907 leks. Utilization distributions describing the probability of lek occurrence were calculated using fixed kernel density estimators (Silverman 1986) with bandwidths estimated from likelihood based cross-validation (CVh) (Horne and Garton 2006). UDs were weighted by the 5-year average (2009 – 2013) for the number of males grouse (or unknown gender if males were not identified) attending leks. UDs and bandwidths were calculated using Geospatial Modelling Environment (Beyer 2012) and the ‘ks’ package (Duong 2012) in Program R. Grid cell size was 30m. The resulting raster was clipped by the SGMA polygon, and values were re-scaled between zero and one by dividing by the maximum pixel value.The non-linear effect of distance to lek on the probability of grouse spatial use was estimated using the inverse of the utilization distribution curves described by Coates et al. (2013), where essentially the highest probability of grouse spatial use occurs near leks and then declines precipitously as a non-linear function. Euclidean distance was first calculated in ArcGIS, reclassified into 30-m distance bins (ranging from 0 – 30,000m), and bins reclassified according to the non-linear curve in Coates et al. (2013). The resulting raster was clipped by the SGMA polygon, and re-scaled between zero and one by dividing by the maximum pixel value.A Spatial Use Index (SUI) was calculated taking the average of the lek utilization distribution and non-linear distance to lek rasters in ArcGIS, and re-scaled between zero and 1 by dividing by the maximum pixel value.The volume of the SUI at cumulative 5% increments (isopleths) was extracted in Geospatial Modelling Environment (Beyer 2012) with the command ‘isopleth’. Interior polygons (i.e., donuts’ > 1.2 km2) representing no probability of use within a larger polygon of use were erased from each isopleth. The relationship between percent land area within each isopleth and isopleth volume (VanderWal and Rodgers 2012) indicated statistically concentrated use at the 70% isopleth. The 85% isopleth, which provided greater spatial connectivity and consistency with previously used agency standards (e.g., Doherty et al. 2010), was ultimately recommended by the Sagebrush Ecosystem Technical Team. The 85% SUI isopleth was clipped by the SGMA clipped by the Nevada state boundary, which only included habitat within the state of Nevada.Coates, P.S., Casazza, M.L., Brussee, B.E., Ricca, M.A., Gustafson, K.B., Overton, C.T., Sanchez-Chopitea, E., Kroger, T., Mauch, K., Niell, L., Howe, K., Gardner, S., Espinosa, S., and Delehanty, D.J. 2014, Spatially explicit modeling of greater sage-grouse (Centrocercus urophasianus) habitat in Nevada and northeastern California—A decision-support tool for management: U.S. Geological Survey Open-File Report 2014-1163, 83 p., http://dx.doi.org/10.3133/ofr20141163. ISSN 2331-1258 (online)REFERENCES Beyer HL. 2012. Geospatial Modelling Environment (Version 0.7.2.0). http://www.spatialecology.com/gmeCoates PS, Casazza ML, Blomberg EJ, Gardner SC, Espinosa SP, Yee JL, Wiechman L, Halstead BJ. 2013. “Evaluating greater sage-grouse seasonal space use relative to leks: Implications for surface use designations in sagebrush ecosystems.” The Journal of Wildlife Management 77: 1598-1609.Doherty KE, Tack JD, Evans JS, Naugle DE. 2010. Mapping breeding densities of greater sage-grouse: A tool for range-wide conservation planning. Bureau of Land Management. Report Number: L10PG00911. Accessed at: http://www.conservationgateway.org/ConservationByGeography/NorthAmerica/Pages/sagegrouse.aspx# Duong T. 2012. ks: Kernel smoothing. R package version 1.8.10. http://CRAN.R-project.org/package=ksHorne JS, Garton EO. 2006. “Likelihood cross-validation versus least squares cross-validation for choosing the smoothing parameter in kernel home-range analysis.” Journal of Wildlife Management 70: 641-648.Silverman BW. 1986. Density estimation for statistics and data analysis. Chapman & Hall, London, United Kingdom.Vander Wal E, Rodgers AR. 2012. “An individual-based quantitative approach for delineating core areas of animal space use.” Ecological Modelling 224: 48-53.NOTE: This file does not include habitat areas for the Bi-State management area.

Sun Communities reported $1.27B in Net Income for its fiscal quarter ending in June of 2025. Data for Sun Communities | SUI - Net Income including historical, tables and charts were last updated by Trading Economics this last August in 2025.

Insertion-deletion (Indel) serves as one of the important markers in forensic personal identification and parentage testing, especially for cases with degraded samples. However, the genetic diversity and forensic features in ethnolinguistically diverse southwestern Chinese populations remain to be explored. Sui, one Tai-Kadai-speaking population residing in Guizhou, has a complex genetic history based on linguistic, historic, and anthropological evidence. In this study, we genotyped 30 Indels from 511 Guizhou Sui individuals and obtained approximately 700,000 genome-wide single-nucleotide polymorphisms (SNPs) in 15 representative Sui individuals to comprehensively characterize the genetic diversity, forensic characteristics, and genomic landscape of Guizhou Sui people. The estimated forensic statistically allele frequency spectrum and parameters demonstrated that this Indels panel was polymorphic and informative in Tai-Kadai populations in southern China. Results of principal component analysis (PCA), STRUCTURE, and phylogenetic trees showed that Guizhou Sui had a close genetic relationship with geographically close Tai-Kadai and Hmong-Mien people. Furthermore, genomic analysis based on the Fst and f4-statistics further suggested the genetic affinity within southern Chinese Tai-Kadai-speaking populations and a close relationship with geographically adjoining Guizhou populations. Admixture models based on the ADMIXTURE, f4, three-way qpAdm, and ALDER results demonstrated the interaction between the common ancestor for Tai-Kadai/Austronesian, Hmong-Mien, and Austroasiatic speaking populations played a significant role in the formation of modern Tai-Kadai people. We observed a sex-biased influence in Sui people by finding that the dominant Y chromosomal type was a Hmong-Mien specific lineage O2a2a1a2a1a2-N5 but the mtDNA lineages were commonly found in Tai-Kadai populations. The additional southward expansion of millet farmers in the Yellow River Basin has impacted the gene pool of southern populations including Tai-Kadai. The whole-genome sequencing in the future will shed more light on the finer genetic profile of Guizhou populations.

Number of Bed in Hospital & Health Center: Henan: Shangqiu: Sui data was reported at 4,661.000 Unit in 2021. This records a decrease from the previous number of 4,813.000 Unit for 2020. Number of Bed in Hospital & Health Center: Henan: Shangqiu: Sui data is updated yearly, averaging 1,976.000 Unit from Dec 2001 (Median) to 2021, with 21 observations. The data reached an all-time high of 4,813.000 Unit in 2020 and a record low of 1,018.000 Unit in 2001. Number of Bed in Hospital & Health Center: Henan: Shangqiu: Sui data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Socio-Demographic – Table CN.GV: Number of Bed in Hospital & Health Center: County Level Region.

Sun Communities reported $4.28B in Debt for its fiscal quarter ending in June of 2025. Data for Sun Communities | SUI - Debt including historical, tables and charts were last updated by Trading Economics this last August in 2025.

Number of Employee: Henan: Shangqiu: Sui data was reported at 63.711 Person th in 2020. This records a decrease from the previous number of 65.711 Person th for 2019. Number of Employee: Henan: Shangqiu: Sui data is updated yearly, averaging 42.000 Person th from Dec 2004 (Median) to 2020, with 17 observations. The data reached an all-time high of 96.499 Person th in 2017 and a record low of 27.234 Person th in 2007. Number of Employee: Henan: Shangqiu: Sui data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Labour Market – Table CN.GL: No of Employee: County Level Region.

Sun Communities reported $67.4M in EBITDA for its fiscal quarter ending in June of 2025. Data for Sun Communities | SUI - Ebitda including historical, tables and charts were last updated by Trading Economics this last August in 2025.

The data and programs replicate tables and figures from "Transport infrastructure, growth and persistence: The rise and demise of the Sui Canal", by Flückiger and Ludwig. Please see the ReadMe file for additional details.

Number of Employee: Rural: Henan: Shangqiu: Sui data was reported at 474.807 Person th in 2012. This records a decrease from the previous number of 476.601 Person th for 2011. Number of Employee: Rural: Henan: Shangqiu: Sui data is updated yearly, averaging 461.000 Person th from Dec 2004 (Median) to 2012, with 9 observations. The data reached an all-time high of 476.601 Person th in 2011 and a record low of 445.700 Person th in 2004. Number of Employee: Rural: Henan: Shangqiu: Sui data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Labour Market – Table CN.GL: No of Employee: Rural: County Level Region.

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Sun Communities reported $10.02 in EPS Earnings Per Share for its fiscal quarter ending in June of 2025. Data for Sun Communities | SUI - EPS Earnings Per Share including historical, tables and charts were last updated by Trading Economics this last August in 2025.