Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Hunting and gathering societies. --- Hunting, Prehistoric --- Social aspects. --- Hunting, Primitive --- Hunting and foraging, Prehistoric --- Hunting and gathering, Prehistoric --- Prehistoric hunting --- Food gathering societies --- Gathering and hunting societies --- Hunter-gatherers --- Ethnology --- Subsistence hunting

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This book is a collection of fundamental and applied research on the plant root response to environmental clues. In particular, the continued adaptation of both fine and coarse roots to modifications due to natural and anthropogenic causes were investigated from different viewpoints. Additionally, specific root traits were investigated as an optimal indicator of responses to the environment at the whole-plant level. Aspects such as an innovative methodological approach, the root morphology, gene expression, and primary and secondary metabolite concentrations were at the center of the investigations conducted in this collection.

Research & information: general --- Biology, life sciences --- TIFY --- Populus trichocarpa --- protein interaction network --- phytohormone treatment --- abiotic stress --- bioengineering --- Carpinus betulus --- Fagus orientalis --- tensile force --- Acer pseudoplatanus --- competition below ground --- extracellular enzymes --- Fagus sylvatica --- intraspecific and interspecific competition --- toot economic spectrum --- toot respiration --- tree root traits --- soil compaction --- N loading --- fine root --- root morphology --- ectomycorrhizal fungi --- forest gap --- forest management --- fine roots --- morphology --- lignin --- carbon --- nitrogen --- hydro-fluctuation zone --- Three Gorges Dam Reservoir --- winter submergence --- Taxodium distichum --- Salix matsudana --- organic acids --- phosphorus deficiency --- T.‘Zhongshanshan’ --- root foraging ability for phosphorus --- anchorage --- coarse root --- measurement method --- Pinus thunbergii --- root cross-sectional area --- root system architecture --- morphological attributes --- physiological analysis --- Populus euramericana --- reforestation --- n/a --- T.'Zhongshanshan'

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This book is a collection of fundamental and applied research on the plant root response to environmental clues. In particular, the continued adaptation of both fine and coarse roots to modifications due to natural and anthropogenic causes were investigated from different viewpoints. Additionally, specific root traits were investigated as an optimal indicator of responses to the environment at the whole-plant level. Aspects such as an innovative methodological approach, the root morphology, gene expression, and primary and secondary metabolite concentrations were at the center of the investigations conducted in this collection.

TIFY --- Populus trichocarpa --- protein interaction network --- phytohormone treatment --- abiotic stress --- bioengineering --- Carpinus betulus --- Fagus orientalis --- tensile force --- Acer pseudoplatanus --- competition below ground --- extracellular enzymes --- Fagus sylvatica --- intraspecific and interspecific competition --- toot economic spectrum --- toot respiration --- tree root traits --- soil compaction --- N loading --- fine root --- root morphology --- ectomycorrhizal fungi --- forest gap --- forest management --- fine roots --- morphology --- lignin --- carbon --- nitrogen --- hydro-fluctuation zone --- Three Gorges Dam Reservoir --- winter submergence --- Taxodium distichum --- Salix matsudana --- organic acids --- phosphorus deficiency --- T.‘Zhongshanshan’ --- root foraging ability for phosphorus --- anchorage --- coarse root --- measurement method --- Pinus thunbergii --- root cross-sectional area --- root system architecture --- morphological attributes --- physiological analysis --- Populus euramericana --- reforestation --- n/a --- T.'Zhongshanshan'

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Today, the flow of electricity is bidirectional, and not all electricity is centrally produced in large power plants. With the growing emergence of prosumers and microgrids, the amount of electricity produced by sources other than large, traditional power plants is ever-increasing. These alternative sources include photovoltaic (PV), wind turbine (WT), geothermal, and biomass renewable generation plants. Some renewable energy resources (solar PV and wind turbine generation) are highly dependent on natural processes and parameters (wind speed, wind direction, temperature, solar irradiation, humidity, etc.). Thus, the outputs are so stochastic in nature. New data-science-inspired real-time solutions are needed in order to co-develop digital twins of large intermittent renewable plants whose services can be globally delivered.

self-healing grid --- machine-learning --- feature extraction --- event detection --- optimization techniques --- manta ray foraging optimization algorithm --- multi-objective function --- radial networks --- optimal power flow --- automatic P2P energy trading --- Markov decision process --- deep reinforcement learning --- deep Q-network --- long short-term delayed reward --- inter-area oscillations --- modal analysis --- reduced order modeling --- dynamic mode decomposition --- machine learning --- artificial neural networks --- steady-state security assessment --- situation awareness --- cellular computational networks --- load flow prediction --- contingency --- fuzzy system --- change detection --- data analytics --- data mining --- filtering --- optimization --- power quality --- signal processing --- total variation smoothing --- n/a

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Today, the flow of electricity is bidirectional, and not all electricity is centrally produced in large power plants. With the growing emergence of prosumers and microgrids, the amount of electricity produced by sources other than large, traditional power plants is ever-increasing. These alternative sources include photovoltaic (PV), wind turbine (WT), geothermal, and biomass renewable generation plants. Some renewable energy resources (solar PV and wind turbine generation) are highly dependent on natural processes and parameters (wind speed, wind direction, temperature, solar irradiation, humidity, etc.). Thus, the outputs are so stochastic in nature. New data-science-inspired real-time solutions are needed in order to co-develop digital twins of large intermittent renewable plants whose services can be globally delivered.

Technology: general issues --- History of engineering & technology --- self-healing grid --- machine-learning --- feature extraction --- event detection --- optimization techniques --- manta ray foraging optimization algorithm --- multi-objective function --- radial networks --- optimal power flow --- automatic P2P energy trading --- Markov decision process --- deep reinforcement learning --- deep Q-network --- long short-term delayed reward --- inter-area oscillations --- modal analysis --- reduced order modeling --- dynamic mode decomposition --- machine learning --- artificial neural networks --- steady-state security assessment --- situation awareness --- cellular computational networks --- load flow prediction --- contingency --- fuzzy system --- change detection --- data analytics --- data mining --- filtering --- optimization --- power quality --- signal processing --- total variation smoothing --- self-healing grid --- machine-learning --- feature extraction --- event detection --- optimization techniques --- manta ray foraging optimization algorithm --- multi-objective function --- radial networks --- optimal power flow --- automatic P2P energy trading --- Markov decision process --- deep reinforcement learning --- deep Q-network --- long short-term delayed reward --- inter-area oscillations --- modal analysis --- reduced order modeling --- dynamic mode decomposition --- machine learning --- artificial neural networks --- steady-state security assessment --- situation awareness --- cellular computational networks --- load flow prediction --- contingency --- fuzzy system --- change detection --- data analytics --- data mining --- filtering --- optimization --- power quality --- signal processing --- total variation smoothing