The impact of spatial heterogeneity on selection: a case study on Pinus pinaster breeding seedling orchards

2008 ◽  
Vol 38 (1) ◽  
pp. 114-124 ◽  
Author(s):  
Rafael Zas
Keyword(s):  
Spatial Autocorrelation ◽  
Spatial Patterns ◽  
Genetic Gain ◽  
Pinus Pinaster ◽  
Spatial Models ◽  
Selection Methods ◽  
Family Selection ◽  
The Impact

Although failure to account for spatial autocorrelation has been dramatic in some forest progeny trials, little attention has been paid to how this issue may affect selections within the trials. The effects of spatial autocorrelation of height growth on the estimation of genetic gain and on the spatial distribution of the selected trees were studied in four Pinus pinaster Ait. progeny trials that were rogued using different selection methods and intensities. When selections are based on unadjusted original values, selected trees tend to be located in the best microsites and are unlikely to be the most genetically superior. This resulted in a loss of genetic gain that varied between 10% and 20% and sometimes exceeded 30%. Differences in the loss of gain among different selection methods and intensities were minor and followed no clear pattern. Selecting on the basis of a conventional model resulted in spatial patterns of the retained trees that were clearly aggregated in all cases. However, selections based on spatially adjusted data resulted in random spatial patterns, except with family selection because of the use of multiple-tree plots. Because clumping of the retained trees may seriously affect the quantity and quality of the seed crop, breeders are strongly encouraged to use appropriate spatial models for roguing breeding seedling orchards.

Impact of the Quality of Spatial 3D City Models on Sensor Networks Placement Optimization

GEOMATICA ◽  
2012 ◽  
Vol 66 (4) ◽  
pp. 291-305 ◽  
Author(s):  
Meysam Argany ◽  
Mir Abolfazl Mostafavi ◽  
Vahab Akbarzadeh ◽  
Christian Gagné ◽  
Reda Yaagoubi
Keyword(s):  
Sensor Network ◽  
Urban Area ◽  
Spatial Data ◽  
Optimization Algorithms ◽  
Spatial Models ◽  
Spatial Data Quality ◽  
The Impact ◽  
City Models

Sensor networks are increasingly used for tracking, monitoring, and observing spatial dynamic phenomena in the real world (e.g. urban area). In order to ensure an efficient deployment of a sensor network, several optimization algorithms have been proposed in recent years. Most of these algorithms often rely on oversimplified sensor models. In addition, they do not consider information on the terrain topography, city models, and the presence of diverse obstacles in the sensing area (e.g. buildings, trees, poles). Only some of those optimization algorithms attempt to consider the terrain information in the optimization of a sensor network deployment. However, most of these algorithms consider that the spatial models used for this purpose are perfect representations of the reality and are not sensitive to the quality of the information. However, spatial models are simplified representations of a complex reality, and hence are inherently uncertain. In this paper we will investigate the impact of the spatial data quality on the optimization of a sensor network and its spatial coverage in an urban area. For this purpose, we will investigate specific implications of spatial data quality criteria for a 3D city model that will be used in sensor network optimization algorithms. Then, we will analyze the impact of some of those criteria on the estimation of sensor network coverage.!Afterwards, a case study for sensor network deployment in an urban area will be presented. This case study will demonstrate the impact of 3D city models quality on the estimation of coverage using global and local optimization algorithms. Finally, the results obtained from this experimentation will be presented and discussed.

Technology and Hospital Information System: A Case of Implementation of Electronic Clinical Records in Hospital Maternity Irene Neto in Lubango, Angola

2019 ◽  
Vol 10 (11) ◽  
pp. 1131-1135
Author(s):  
Tomas Hambili Paulo Sanjuluca ◽  
◽  
Ricardo Correia ◽  
Anabela Antunes de Almeida ◽  
Ana Gloria Diaz Martinez ◽  
...  
Keyword(s):  
Maternity Hospital ◽  
Management Support ◽  
Retrospective Case ◽  
System A ◽  
Clinical Records ◽  
Retrospective Case Study ◽  
The Impact ◽  
And Child Health

Introduction: In order to have a good assessment of the quality of maternal and child health care, it is essential that there is up-to-date and reliable information. Objective: To evaluate the impact of the implementation of a computerized database of clinical processes in the admission, archive and medical statistics section, of Maternity hospital Irene Neto/Lubango-Angola. Methodology: A descriptive study with a quantitative and qualitative approach to carry out a retrospective case study deliveries and newborns, records from 2014 to 2017. Final considerations: The implementation of this project may contribute to the improvement of clinical management support management of the hospital as well as facilitating access to information for research and scientific production.

scholarly journals Impact of treated sewage on meiobenthic nematodes: a case study from the Tunisian Refining Industries Company

2022 ◽  
Vol 82 ◽  
Author(s):  
A. Hedfi ◽  
M. Ben Ali ◽  
A. Noureldeen ◽  
H. Darwish ◽  
T. Saif ◽  
...  
Keyword(s):  
Organic Matter ◽  
Environmental Parameters ◽  
The Other ◽  
Treated Sewage ◽  
Before And After ◽  
Bizerte Bay ◽  
De Man ◽  
The Impact

Abstract The main objective of the current study was to assess the impact of the water taken from the ‘Tunisian Refining Industries Company’ on meiobenthic nematodes, before and after a series of treatments in decantation basins followed by its discharge in Bizerte bay, Tunisia. The comparison of environmental parameters of the two types of water was clearly indicative of an improvement in the quality of treated waters after a significant reduction in their loads in hydrocarbons. Overall, the water retained a good quality after being treated by ‘Tunisian Refining Industries Company’ before discharge in the sea. At the end of the experiment, differential responses were observed according to the richness of sediment in organic matter and hydrocarbons. Thus, it was apparent that the nematode assemblage exposed to the treated waters was closer to controls and associated to higher values of abundance, than that under untreated ones. It was also assumed that the species Microlaimus honestus De Man, 1922, Paramonohystera proteus Wieser, 1956 and Cyartonema germanicum Juario, 1972 are sensitive bioindicators of bad environmental statues and of hydrocarbon presence in the environment. On the other hand, Metoncholaimus pristiurus (Zur Strassen, 1894) Filipjev, 1918 would rather be classified as a positive bioindicative species of this type of pollutants.

scholarly journals The impact of coal ash and slag dump on the quality of surface and ground waters - a case study

2019 ◽  
Vol 84 (5) ◽  
pp. 527-530
Author(s):  
Ivana Cipranic ◽  
Radmila Markovic ◽  
Stefan Djordjievski ◽  
Zoran Stevanovic ◽  
Marija Stevanovic
Keyword(s):  
Water Samples ◽  
Coal Ash ◽  
Negative Influence ◽  
Physical Treatment ◽  
Physical Chemical ◽  
Quality Of Water ◽  
Slag Dump ◽  
The Impact

This paper presents the assessment of the impact of coal ash and slag from the ?Maljevac? dump on the quality of water of Paleski Creek, Montenegro. The obtained results confirm the negative influence of surface and groundwater from the dump on the water from the Paleski Creek. The results obtained by testing of the water samples, collected from Paleski Creek upstream of the dump, indicate that the water is qualified to be used for drinking, after simple physical treatment and disinfection. The results obtained for the water samples collected from the Paleski creek downstream from the dump indicate that the water could be safe for drinking only after the treatment that requires an intensive physical, chemical and biological processing, including some extended treatment.

scholarly journals Analysis of The Impact of Industrial Activities Towards River Vacancy Viewed from BODS, CODS, and TSS Using The QUAL2KW Software Method Approach (Case Study: Klampok River, Semarang District)

2020 ◽  
Vol 202 ◽  
pp. 04008
Author(s):  
Nurandani Hardyanti ◽  
Winardi D Nugraha ◽  
Vito Edgar S B
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
River Water ◽  
Catchment Area ◽  
Industrial Sector ◽  
Industrial Activities ◽  
The Impact ◽  
Method Approach

The industrial sector is one of the important sector in supporting the development of a region. Utilization of land around the river that is used for industrial activities will affect the quality of river water. The river can be polluted by waste personinating from industries that operating around the river. The catchment area that used for industry, agriculture, urban development, and the use of land for making roads (gravel or footpaths) can affect the flow of surface water and sediments that it brings to the river. Waste generated from industrial activities can pollute rivers which are a source of water for daily needs and affect the development of biota in them. This can affect river water quality

scholarly journals The Impact of Selected Determinants on the Perceived Competitiveness and Quality of Processor Manufacturers: A Case Study

2021 ◽  
Vol XXIV (Issue 1) ◽  
pp. 954-983
Author(s):  
Agnieszka Barcik ◽  
Piotr Dziwinski ◽  
Jozef Ledzianowski ◽  
Justyna Malysiak
Keyword(s):  
The Impact
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