Comparing surface water supply index and streamflow drought index for hydrological drought analysis in Ethiopia

Tareke, Kassa Abera; Awoke, Admasu Gebeyehu

doi:10.1016/j.heliyon.2022.e12000

Cited by 9 publications

(2 citation statements)

References 59 publications

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“…Publicly available FLI1 ChIP-seq data in Ewing sarcoma cell lines (GSE176400) were analyzed for binding near the gene TSPAN8 125 . Illumina adapters and low-quality reads were filtered out using BBDuk (v.38.87) (http://jgi.doe.gov/data-and-tools/bb-tools).…”

Section: Fli1 Chip-seq In Ewing Sarcoma Cell Linesmentioning

confidence: 99%

Characterization of transcriptional heterogeneity and novel therapeutic targets using single cell RNA-sequencing of primary and circulating Ewing sarcoma cells

Goodspeed,

Bodlak,

Duffy

et al. 2024

Preprint

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Ewing sarcoma is the second most common bone cancer in children, accounting for 2% of pediatric cancer diagnoses. Patients who present with metastatic disease at the time of diagnosis have a dismal prognosis, compared to the >70% 5-year survival of those with localized disease. Here, we utilized single cell RNA-sequencing to characterize the transcriptional landscape of primary Ewing sarcoma tumors and surrounding tumor microenvironment (TME). Copy-number analysis identified subclonal evolution within patients even prior to treatment. Primary tumor samples demonstrate a heterogenous transcriptional landscape with several conserved gene expression programs, including those composed of genes related to proliferation and EWS targets. We also were able to identify the composition of the TME and molecularly dissect the transcriptional profile of circulating tumor cells in peripheral blood at the time of diagnosis.

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Section: Fli1 Chip-seq In Ewing Sarcoma Cell Linesmentioning

confidence: 99%

Characterization of transcriptional heterogeneity and novel therapeutic targets using single cell RNA-sequencing of primary and circulating Ewing sarcoma cells

Goodspeed,

Bodlak,

Duffy

et al. 2024

Preprint

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“…Additionally, WASP cannot correctly describe areas with persistent drought or high humidity, and historical grid data for some regions may not be easily accessible. To adapt to different applications, various types of agricultural drought indices (Hahm et al, 2022;Pan et al, 2023), hydrological drought indices (Arslan, 2021;Tareke & Awoke, 2022), and remote sensing drought indices (Nourani, 2022;Wei et al, 2021;Zheng et al, 2021) have been established. Based on these indices, some comprehensive indices (Cammalleri et al, 2021;Sobhani et al, 2021;Wu, Cheng, et al, 2021) and comprehensive systems for describing and assessing drought have also emerged.…”

mentioning

confidence: 99%

Establish an agricultural drought index that is independent of historical element probabilities

Pan,

Xiao,

Pan

2024

Meteorological Applications

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Currently, there are three main shortcomings in meteorological drought indices: first, they rely on historical climate probability functions; second, the timescale used in calculations has a certain degree of subjectivity; third, the same index value may correspond to vastly different levels of actual drought in different climate types of regions. The purpose of this article is to establish a meteorological drought index that does not rely on historical meteorological element probability functions. Through theoretical derivation, four drought‐level maintenance lines are established on the cumulative precipitation‐cumulative water surface evaporation coordinate plane, and the coordinate quadrant is divided into five drought‐level areas. Through forward daily rolling accumulation, the maximum distance point is selected from the dynamically changing coordinate points to determine the corresponding cumulative precipitation and cumulative evaporation. The meteorological drought index is established by the distance from the selected coordinate point to each drought‐level maintenance line. Using daily precipitation and evaporation data from meteorological observation stations, the index is calculated based on the established meteorological drought index model, and compared with actual drought evolution and drought disaster records. The results show that the index can capture the development of drought well, and its changes are very consistent with drought disaster records. The index is of great significance for drought monitoring or assessment, and can provide guidance for water resource allocation, crop layout, and urban planning. Furthermore, it can also provide a way of thinking that does not rely on historical element probabilities for future drought research.

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Characterization of hydro-meteorological droughts based on dynamic future scenarios and effective rainfall over Central Malawi

Chikabvumbwa,

Salehnia,

Gholami

et al. 2023

Theor Appl Climatol

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Comparing surface water supply index and streamflow drought index for hydrological drought analysis in Ethiopia

Cited by 9 publications

References 59 publications

Characterization of transcriptional heterogeneity and novel therapeutic targets using single cell RNA-sequencing of primary and circulating Ewing sarcoma cells

Characterization of transcriptional heterogeneity and novel therapeutic targets using single cell RNA-sequencing of primary and circulating Ewing sarcoma cells

Establish an agricultural drought index that is independent of historical element probabilities

Characterization of hydro-meteorological droughts based on dynamic future scenarios and effective rainfall over Central Malawi

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