The problem of the primary reduction of species in the analysis of general geobotanical tables and the elaboration of analytic programs

2001 ◽  
pp. 99-106 ◽  
Author(s):  
Yu. N. Neshatayev

If one processes a huge amount of data when es­tabli­shing the vegetation classification, it appears necessary to use the uniform algorithms of analysis. Such goals as distinguishing the reliable community types (associations or other syntaxa) involve the operational reduction of either the species list, or (more seldom) the sample plot set. This is especially useful for the analysis of multi­specific communities of meadows, steppes, or another types of markedly continuous polydominant vegetation with «fuzzy» structure of the herb layer.

2002 ◽  
pp. 66-78
Author(s):  
Ja. P. Didukh ◽  
P. M. Ustimenko ◽  
Ju. R. Shelag-Sosonko ◽  
P. G. Pluta ◽  
I. A. Korotchenko

The complex cartography of the Khmelnitskaya APS 30-kilometer zone (the total area of 282.6 thousand ha) was carried out during the elaboration of project according to the MAGATE demands. The present geobotanical map of zone was created in the scale 1 : 100 000. The ecological-phytocoenotical (dominant) vegetation classification was taken as a basis of the map's legend. The legend includes 27 numbers and 6 variants, represented by the boreal forest (11.6 % of area), nemoral forests (8.4 %), meadows (2.4 %), hydrophyte communities (3.2 %), agro- and urbo-communities (61.9 %) and young forest plantations (4.4 %). The characteristic of prevailing community types is given. Influence of the economic activity on the vegetation cover is shown. The geobotanical map can be used for both further monitoring and management of the forest economy with the aim of increasing the ecosystems stability against the external influences.


2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Gatluak Rolkier ◽  
Kumelachew Yeshitela

Gambella National Park has a diverse set of habitat types which Ethiopia shares with its neighbor, South Sudan, and the park is considered as one of the top wildlife areas of Ethiopia. The objectives of this research were to determine vegetation types and identify habitat types on recent satellite imageries. The method used for vegetation data collection was transects lines. PC-ORD software was used for analyzed vegetation data while Rapid Eye image 5 m resolution 2012 was analyzed by ArcGIS version 10.1 to classify the habitats map of Gambella National Park. The cluster analysis classified the Gambella National Park into 6 vegetation communities, and the relative abundance and relative frequency were used for naming vegetation community types. However, the satellite image had classified the Gambella National Park into 5 major habitat types.


2009 ◽  
Vol 40 (2) ◽  
pp. 55-65 ◽  
Author(s):  
Thomas F. Pettigrew

This paper reviews the evidence for a secondary transfer effect of intergroup contact. Following a contact’s typical primary reduction in prejudice toward the outgroup involved in the contact, this effect involves a further, secondary reduction in prejudice toward noninvolved outgroups. Employing longitudinal German probability samples, we found that significant secondary transfer effects of intergroup contact exist, but they were limited to specific outgroups that are similar to the contacted outgroup in perceived stereotypes, status or stigma. Since the contact-prejudice link is bidirectional, the effect is inflated when prior prejudice reducing contact is not controlled. The strongest evidence derives from experimental research. Both cognitive (dissonance) and affective (evaluative conditioning) explanations for the effect are offered.


2005 ◽  
Vol 44 (03) ◽  
pp. 107-117
Author(s):  
R. G. Meyer ◽  
W. Herr ◽  
A. Helisch ◽  
P. Bartenstein ◽  
I. Buchmann

SummaryThe prognosis of patients with acute myeloid leukaemia (AML) has improved considerably by introduction of aggressive consolidation chemotherapy and haematopoietic stem cell transplantation (SCT). Nevertheless, only 20-30% of patients with AML achieve long-term diseasefree survival after SCT. The most common cause of treatment failure is relapse. Additionally, mortality rates are significantly increased by therapy-related causes such as toxicity of chemotherapy and complications of SCT. Including radioimmunotherapies in the treatment of AML and myelodyplastic syndrome (MDS) allows for the achievement of a pronounced antileukaemic effect for the reduction of relapse rates on the one hand. On the other hand, no increase of acute toxicity and later complications should be induced. These effects are important for the primary reduction of tumour cells as well as for the myeloablative conditioning before SCT.This paper provides a systematic and critical review of the currently used radionuclides and immunoconjugates for the treatment of AML and MDS and summarizes the literature on primary tumour cell reductive radioimmunotherapies on the one hand and conditioning radioimmunotherapies before SCT on the other hand.


Author(s):  
Manbir Sandhu ◽  
Purnima, Anuradha Saini

Big data is a fast-growing technology that has the scope to mine huge amount of data to be used in various analytic applications. With large amount of data streaming in from a myriad of sources: social media, online transactions and ubiquity of smart devices, Big Data is practically garnering attention across all stakeholders from academics, banking, government, heath care, manufacturing and retail. Big Data refers to an enormous amount of data generated from disparate sources along with data analytic techniques to examine this voluminous data for predictive trends and patterns, to exploit new growth opportunities, to gain insight, to make informed decisions and optimize processes. Data-driven decision making is the essence of business establishments. The explosive growth of data is steering the business units to tap the potential of Big Data to achieve fueling growth and to achieve a cutting edge over their competitors. The overwhelming generation of data brings with it, its share of concerns. This paper discusses the concept of Big Data, its characteristics, the tools and techniques deployed by organizations to harness the power of Big Data and the daunting issues that hinder the adoption of Business Intelligence in Big Data strategies in organizations.


2019 ◽  
Vol 51 (5) ◽  
Author(s):  
Fariha Naz ◽  
Moinuddin Ahmed ◽  
Muhammad Faheem Siddiqui
Keyword(s):  

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