Direct and indirect effects of wheat cultivars with different levels of resistance on parasitoids and entomopathogenic fungi of cereal aphids

Ecoscience ◽  
2002 ◽  
Vol 9 (1) ◽  
pp. 37-43 ◽  
Author(s):  
Eduardo Fuentes-Contreras ◽  
Hermann Niemeyer
Keyword(s):  
Entomopathogenic Fungi ◽  
Indirect Effects ◽  
Cereal Aphids ◽  
Direct And Indirect Effects ◽  
Wheat Cultivars ◽  
Different Levels

scholarly journals The direct and indirect effects of nitrogen shortage on photosynthesis and transpiration in maize and sunflower.

1979 ◽  
Vol 27 (3) ◽  
pp. 227-234
Author(s):  
J. Goudriaan ◽  
H. van Keulen
Keyword(s):  
Indirect Effects ◽  
Leaf Tissue ◽  
Co2 Assimilation ◽  
Direct And Indirect Effects ◽  
Stomatal Behaviour ◽  
Net Co2 Assimilation ◽  
Similar Relation ◽  
Use Efficiency ◽  
Different Levels ◽  
N Status

Experiments with maize and sunflower in sol. culture were carried out to investigate the effect of N shortage in the leaf tissue on stomatal behaviour. In maize a linear relation existed between the rate of net CO2 assimilation and the conductance of water vapour, independently of the N status of the tissue. In sunflower a similar relation existed although the evidence was less conclusive. It was concluded that stomatal behaviour cannot explain differences in water-use efficiency between plants growing at different levels of N. (Abstract retrieved from CAB Abstracts by CABI’s permission)

Direct and indirect effects of dynamic social impact

2005 ◽  
Author(s):  
Dana M. Binder ◽  
Martin J. Bourgeois ◽  
Christine M. Shea Adams
Keyword(s):  
Indirect Effects ◽  
Social Impact ◽  
Direct And Indirect Effects

The Dark Side of Artificial Intelligence: Challenges for the Legal System

2020 ◽  
Vol 35 (1) ◽  
Author(s):  
Willem Gravett
Keyword(s):  
Artificial Intelligence ◽  
Legal System ◽  
Indirect Effects ◽  
Current Trend ◽  
Dark Side ◽  
Work Practices ◽  
Direct And Indirect Effects ◽  
Autonomous Machines ◽  
State Surveillance

The development of artificial intelligence has the potential to transform lives and work practices, raise efficiency, savings and safety levels, and provide enhanced levels of services. However, the current trend towards developing smart and autonomous machines with the capacity to be trained and make decisions independently holds not only economic advantages, but also a variety of concerns regarding their direct and indirect effects on society as a whole. This article examines some of these concerns, specifically in the areas of privacy and autonomy, state surveillance, and bias and algorithmic transparency. It concludes with an analysis of the challenges that the legal system faces in regulating the burgeoning field of artificial intelligence.

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