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Advanced Research on Sprouts and Microgreens as a Source of Bioactive Compounds
Today, researchers are focused on studying and identifying new products that can be beneficial for both food and pharmaceutical purposes. In this context, sprouts and microgreens are widely recognized as functional foods due to their high nutritional value, and in particular, their high bioactive compound content, which is mainly composed of phytochemicals. However, despite extensive research o…
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- 9783036571768
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- 224 hlm,: ill, lamp; 21 cm
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Advanced Research on Glucosinolates in Food Products
Glucosinolate-containing foods, such as vegetables from the plant order Brassicales and its derivative products, are valued for their health-beneficial properties. The latter are linked to glucosinolate hydrolysis products, such as isothiocyanates.The book "Advanced Research on Glucosinolates in Food Products" collects the latest research on the impact of the whole food supply chain, including …
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- ISBN/ISSN
- 9783036529769
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- 238 hlm,: ill, lamp; 21 cm
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Advanced Polymer Composite Materials: Processing, Modeling, Properties and Ap…
The use of composite materials is ubiquitous in every field of human activities, including in the agricultural, industrial, environmental, biomedical and transport sectors. After a pandemic with the simultaneous unfolding of an energy and climatic crisis, we now realize how necessary it is to carry out studies on composite materials based on polymers to positively affect our current society and…
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- ISBN/ISSN
- 9783036578101
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- 480 hlm,: ill, lamp; 21 cm
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Advanced Photocatalytic Materials for Environmental and Energy Applications
With the development of modern society, environmental pollution and energy shortages have become the focus of attention worldwide. Most of the global energy supplies are generated from fossil fuel, which gives rise to environmental pollution and climate change. Photocatalysis technology, which can directly convert solar energy into high value-added fuel and chemical materials or degrade a wide …
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- 9783036596488
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2D Nanostructures for Optoelectronic and Green Energy Devices
In this Special Issue “2D Nanostructures for Optoelectronic and Green Energy Devices”, we have collected nine high-quality, original research papers and one comprehensive review paper by outstanding scientists and engineers from relevant fields, covering the topics in optical properties and couplings in 2D nanostructures, spectroscopic analysis in atomic scale, 2D transistors, 2D optoelectr…
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- ISBN/ISSN
- 9783036572581
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Advanced Optimization Methods and Big Data Applications in Energy Demand Fore…
The use of data collectors in energy systems is growing more and more. For example, smart sensors are now widely used in energy production and energy consumption systems. This implies that huge amounts of data are generated and need to be analyzed in order to extract useful insights from them. Such big data give rise to a number of opportunities and challenges for informed decision making. In r…
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- 9783036508627, 9783036508634
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- 100 hlm; ill., lamp.,
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Advanced Operation and Maintenance in Solar Plants, Wind Farms and Microgrids
This reprint presents advances in operation and maintenance in solar plants, wind farms and microgrids. This compendium of scientific articles will help clarify the current advances in this subject, so it is expected that it will please the reader.
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- 9783036540627, 9783036540610
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- 366 hlm; ill., lamp.,
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Advanced Modeling, Control, and Optimization Methods in Power Hybrid Systems …
The climate changes that are becoming visible today are a challenge for the global research community. In this context, renewable energy sources, fuel cell systems and other energy generating sources must be optimally combined and connected to the grid system using advanced energy transaction methods. As this reprint presents the latest solutions in the implementation of fuel cell and renewable…
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- 9783036541440, 9783036541433
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- 292 hlm; ill., lamp.,
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Advanced Methods of Power Load Forecasting
This reprint introduces advanced prediction models focused on power load forecasting. Models based on artificial intelligence and more traditional approaches are shown, demonstrating the real possibilities of use to improve prediction in this field. Models of LSTM neural networks, LSTM networks with a SESDA architecture, in even LSTM-CNN are used. On the other hand, multiple seasonal Holt-Winte…
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- 9783036542188, 9783036542171
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- 128hlm; ill., lamp.,
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