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Functional Foods and Biotechnology
  • Language: en
  • Pages: 506

Functional Foods and Biotechnology

  • Type: Book
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  • Published: 2020-04-13
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  • Publisher: CRC Press

The second book of the Food Biotechnology series, Functional Foods and Biotechnology: Biotransformation and Analysis of Functional Foods and Ingredients highlights two important and interrelated themes: biotransformation innovations and novel bio-based analytical tools for understanding and advancing functional foods and food ingredients for health-focused food and nutritional security solutions. The first section of this book provides novel examples of innovative biotransformation strategies based on ecological, biochemical, and metabolic rationale to target the improvement of human health relevant benefits of functional foods and food ingredients. The second section of the book focuses on ...

Deep Learning with R Cookbook
  • Language: en
  • Pages: 322

Deep Learning with R Cookbook

Tackle the complex challenges faced while building end-to-end deep learning models using modern R libraries Key FeaturesUnderstand the intricacies of R deep learning packages to perform a range of deep learning tasksImplement deep learning techniques and algorithms for real-world use casesExplore various state-of-the-art techniques for fine-tuning neural network modelsBook Description Deep learning (DL) has evolved in recent years with developments such as generative adversarial networks (GANs), variational autoencoders (VAEs), and deep reinforcement learning. This book will get you up and running with R 3.5.x to help you implement DL techniques. The book starts with the various DL technique...

Ensemble Machine Learning Cookbook
  • Language: en
  • Pages: 327

Ensemble Machine Learning Cookbook

Implement machine learning algorithms to build ensemble models using Keras, H2O, Scikit-Learn, Pandas and more Key FeaturesApply popular machine learning algorithms using a recipe-based approachImplement boosting, bagging, and stacking ensemble methods to improve machine learning modelsDiscover real-world ensemble applications and encounter complex challenges in Kaggle competitionsBook Description Ensemble modeling is an approach used to improve the performance of machine learning models. It combines two or more similar or dissimilar machine learning algorithms to deliver superior intellectual powers. This book will help you to implement popular machine learning algorithms to cover different...

Handbook of Turfgrass Management and Physiology
  • Language: en
  • Pages: 730

Handbook of Turfgrass Management and Physiology

  • Type: Book
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  • Published: 2007-10-09
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  • Publisher: CRC Press

A multibillion dollar industry that has tripled in the last ten years, turfgrass management plays an important role in landscaping, golf courses, and other sports surfaces. Proper management and cultural practices are crucial for the performance of these versatile grasses, creating a demand among scientists, researchers, and industry professionals

Ensemble Methods for Machine Learning
  • Language: en
  • Pages: 350

Ensemble Methods for Machine Learning

Ensemble machine learning combines the power of multiple machine learning approaches, working together to deliver models that are highly performant and highly accurate. Inside Ensemble Methods for Machine Learning you will find: Methods for classification, regression, and recommendations Sophisticated off-the-shelf ensemble implementations Random forests, boosting, and gradient boosting Feature engineering and ensemble diversity Interpretability and explainability for ensemble methods Ensemble machine learning trains a diverse group of machine learning models to work together, aggregating their output to deliver richer results than a single model. Now in Ensemble Methods for Machine Learning...

Plant-fungal interactions
  • Language: en
  • Pages: 409

Plant-fungal interactions

description not available right now.

Functional Foods, Nutraceuticals, and Degenerative Disease Prevention
  • Language: en
  • Pages: 435

Functional Foods, Nutraceuticals, and Degenerative Disease Prevention

Functional Foods, Nutraceuticals and Degenerative Disease Prevention is a compilation of different segments of functional foods and nutraceuticals focusing on their mechanism of action in the human body leading to disease prevention. Numerous chapters deal with different functional foods in terms of their efficacy, highlighting the mechanism of action of their ingredients. The book focuses on the biochemistry and molecular biology of the disease prevention process rather than simply compiling the benefits of functional foods and nutraceuticals. Aimed primarily at an audience comprised of researchers, industry professionals, food scientists, medical professionals and graduate level students, Functional Foods, Nutraceuticals and Degenerative Disease Prevention offers a mechanism-based interpretation for the effect of nutraceuticals within the human body. Ultimately, the discussion of the biological effects of a variety of functional foods will provide a wholesome approach to the maintenance of health through judicious choice of functional foods.

Aging
  • Language: en
  • Pages: 317

Aging

Aging: Oxidative Stress and Dietary Antioxidants bridges the trans-disciplinary divide and covers in a single volume the science of oxidative stress in aging and the potentially therapeutic use of natural antioxidants in the diet or food matrix. The processes within the science of oxidative stress are described in concert with other processes, such as apoptosis, cell signaling, and receptor mediated responses. This approach recognizes that diseases are often multifactorial, and oxidative stress is a single component of this. Gerontologists, geriatricians, nutritionists, and dieticians are separated by divergent skills and professional disciplines that need to be bridged in order to advance p...

Suicide
  • Language: en
  • Pages: 275

Suicide

description not available right now.

Food consumption disparities, public health and sustainability in latin america and the caribbean
  • Language: en
  • Pages: 120