• Asian Pacific Journal of Cancer Prevention
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• 제16권15호
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• pp.6481-6490
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• 2015

Background: Esophageal cancer (EC) is among the most common malignancies in Eastern Africa, but the occurrence of EC in Sudan has rarely been described in the scientific literature. This paper reports the results of a consecutive case series of all EC patients who visited one of the two public cancer treatment centers in the country in 1999-2012, providing a first description of this disease in a treatment center located in central Sudan. Materials and Methods: Clinical and demographic data for all EC patients who visited the Department of Oncology of the National Cancer Institute at the University of Gezira (NCI-UG) from 1999 to the end of 2012 were abstracted and tabulated by sex, tumor type and other characteristics. Results: A total of 448 EC patients visited NCI-UG in 1999-2012, and the annual number of EC cases increased steadily from 1999. Squamous cell carcinoma (SCC) was the predominant EC tumor type (90%), and adenocarcinoma (ADC) was reported in 9.4% of the EC cases. The overall male-to-female ratio for EC was 1:1.8, but the ratio was tumor type-dependent, being 1:2 for SCC and 2:1 for ADC. Only 20% of EC patients reported having ever used tobacco and/or alcohol, and the vast majority of these patients were male. At the time of EC diagnosis, 47.3% of the patients resided in Gezira State. Some EC patients from Gezira State seek out-of-state treatment in the national capital of Khartoum instead of visiting NCI-UG. Conclusions: The annual number of EC patients visiting NCI-UG has increased in recent years, approximately half of these patients being from Gezira State. Although this consecutive series of EC patients who visited NCI-UG was complete, it did not capture all EC patients from the state. A populationbased cancer registry would provide more complete data required to better understand EC patterns and risk factors.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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• pp.1233-1235
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• 2003

We are studying large-scale irrigation projects of 100,000 ha to 1,000,000 ha in the world with emphasis on their historical courses of development, geographical conditions, water managements, planting conditions and landuse changes. Recent advancement in GIS/remote sensing techniques has enabled us to proceed studies in this field in more details. Here, we describe the results of analysis on distribution of irrigation canals, three-dimensional shape of the irrigation area and planting conditions of agricultural products investigated last year in Gezira irrigation project, Sudan, using Landsat 7 ETM data and DEM supplied by USGS.

• International Journal of Computer Science & Network Security
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• 제24권1호
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• pp.23-30
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• 2024

This study tries clarify the process of making decisions with geographic information systems and how to choose the best place for Khartoum State displaced people to relocate to in order to be closer to cheaper places with access to commodities and services. For network analysis, use a unique model. The network analysis tool was dependent on the following information: availability of goods and services, cheap cost, and proximity to the state of Khartoum.in choosing the best state. The study came to the conclusion that, in terms of accessibility, affordability, and availability of products and services, Gezira State is the best state for people who have been displaced from Khartoum State.When developing a new model, we recommend that all GIS users apply the theories of spatial analysis.

• Journal of Forest and Environmental Science
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• 제38권3호
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• pp.174-183
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• 2022

The study aims to examine population indices of mature trees in Jebel Elgarrie forest, Blue Nile State, Sudan. We used remote sensing techniques to stratify the forest into vegetation classes depending on tree density. We distributed 97 circular sample plots (0.1 ha) proportionally to the area of the vegetation classes. In each sample plot we identified, counted and recorded all mature trees (DBH ≥10 cm). We calculated frequency, density, abundance, richness, evenness and diversity for each species and we drew abundance rank curve of mature trees. We used One-Way ANOVA to test for differences (α=0.05) in mean density (No./ha) of mature trees between vegetation classes. Results revealed that the forest was conveniently sub-divided into high density (C1), medium density (C2), low density (C3) and bare farm land (C4) classes. We identified fifteen tree species that belong to 10 families and 14 genera. Combretaceae and Fabaceae were the common families while Anogeissus leiocarpa was the most frequently occurring species. While species diversity varied between vegetation classes, diversity of the forest as a whole is low. While mean density of mature trees in C1, C2, C3 and C4 it was 100, 74, 10, and 0, respectively, it was 54 for the whole forest indicating low stocking, Following One-Way ANOVA, multiple comparisons revealed significant differences in mean density of mature trees between C1 & C3 and C2 & C3. The study provided empirical results on population indices of mature tree species, which would be of importance for successful management and conservation of the forest.