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89 tulosta hakusanalla Kerneels Breytenbach

Kernels of Resistance

Kernels of Resistance

Liza Grandia

UNIVERSITY OF WASHINGTON PRESS
2024
sidottu
The story of how Mesoamerican food activists faced down Monsanto . . . and wonRight before the 2014 World Cup, US trade interests pressured Guatemala's legislature into lifting its national ban on genetically modified (GM) crops and criminalizing traditional seed saving practices. Maya elders responded with a campaign of mass civil disobedience, blocking highways until the Guatemalan Congress repealed this "Monsanto Law." Uniting rural and urban Guatemalans, this uprising spotlighted the existential threat of GM corn to the livelihood, dignity, and cultural heritage of maize-producing milperos (small farmers) throughout Mesoamerica. Ten years later, Mexico is also facing down US trade aggression to defend a 2020 presidential ban on the import of GM corn for human consumption. Liza Grandia chronicles how diverse coalitions in Mexico and Guatemala have defended their sacred maize against corporate threats to privatize it. Rather than just "voting with their forks" like the consumer-driven US food movement, Mesoamerican farmers and their allies have voted with their feet through direct action. In a world of interconnected trade, their victories chart a path that other food movements might follow. They also show how everyday people can demand better regulatory protections for environmental health and forge more climate-resilient agricultural systems with native seed saving.Dramatic and timely, Kernels of Resistance celebrates this Indigenous triumph over corporate greed.This book is freely available in an open access edition thanks to the generous support of the UC Davis Library at the University of California, Davis.DOI: 10.6069/9780295753317
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Kernels of Resistance

Kernels of Resistance

Liza Grandia

UNIVERSITY OF WASHINGTON PRESS
2024
pokkari
The story of how Mesoamerican food activists faced down Monsanto . . . and wonRight before the 2014 World Cup, US trade interests pressured Guatemala's legislature into lifting its national ban on genetically modified (GM) crops and criminalizing traditional seed saving practices. Maya elders responded with a campaign of mass civil disobedience, blocking highways until the Guatemalan Congress repealed this "Monsanto Law." Uniting rural and urban Guatemalans, this uprising spotlighted the existential threat of GM corn to the livelihood, dignity, and cultural heritage of maize-producing milperos (small farmers) throughout Mesoamerica. Ten years later, Mexico is also facing down US trade aggression to defend a 2020 presidential ban on the import of GM corn for human consumption. Liza Grandia chronicles how diverse coalitions in Mexico and Guatemala have defended their sacred maize against corporate threats to privatize it. Rather than just "voting with their forks" like the consumer-driven US food movement, Mesoamerican farmers and their allies have voted with their feet through direct action. In a world of interconnected trade, their victories chart a path that other food movements might follow. They also show how everyday people can demand better regulatory protections for environmental health and forge more climate-resilient agricultural systems with native seed saving.Dramatic and timely, Kernels of Resistance celebrates this Indigenous triumph over corporate greed.This book is freely available in an open access edition thanks to the generous support of the UC Davis Library at the University of California, Davis.DOI: 10.6069/9780295753317
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Kernels of Knowledge

Kernels of Knowledge

Independently Published
2022
pokkari
Dreams cannot be created without thoughts, and thoughts are useless without dreams.Learn to channel the creative power of thoughts and dreams, and you change the course of your life.Kernels of Knowledge offers a roadmap for turning your thoughts into your dreams, transferring your dreams into your goals, and converting your goals into your action plan, which leads you to your reality. The journey is not a straight line as the evolution of your dreams is continuous and flexibility is required.We have it in us to succeed. Every thought we have shapes who we are and what we do. Knowing this, why not take control of your thoughts, using them to dream new dreams and transform you into the person you're meant to be? It's entirely in your hands-or more accurately-in your thoughts.
Vertaile hintoja
Kernels of Knowledge

Kernels of Knowledge

Independently Published
2022
sidottu
Dreams cannot be created without thoughts, and thoughts are useless without dreams.Learn to channel the creative power of thoughts and dreams, and you change the course of your life.Kernels of Knowledge offers a roadmap for turning your thoughts into your dreams, transferring your dreams into your goals, and converting your goals into your action plan, which leads you to your reality. The journey is not a straight line as the evolution of your dreams is continuous and flexibility is required.We have it in us to succeed. Every thought we have shapes who we are and what we do. Knowing this, why not take control of your thoughts, using them to dream new dreams and transform you into the person you're meant to be? It's entirely in your hands-or more accurately-in your thoughts.
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Kernels for Vector-Valued Functions

Kernels for Vector-Valued Functions

Mauricio A. Álvarez; Lorenzo Rosasco; Neil D. Lawrence

now publishers Inc
2012
nidottu
Kernel methods are among the most popular techniques in machine learning. From a regularization theory perspective, they provide a natural choice for the hypotheses space and the regularization functional through the notion of reproducing kernel Hilbert spaces. From a probabilistic theory perspective, they are the key in the context of Gaussian processes, where the kernel function is known as the covariance function. The theory of kernel methods for single-valued functions is well established by now, and indeed there has been a considerable amount of work devoted to designing and learning kernels. More recently there has been an increasing interest in methods that deal with multiple outputs, motivated partly by frameworks like multitask learning. Applications of kernels for vector-valued functions include sensor networks, geostatistics, computer graphics and several more.Kernels for Vector-Valued Functions looks at different methods to design or learn valid kernel functions for multiple outputs, paying particular attention to the connection between probabilistic and regularization methods. It is aimed at researchers with an interest in the theory and application of kernels for vector-valued functions in areas such as statistics, computer science and engineering. One of its goals is to provide a unified framework and a common terminology for researchers working in machine learning and statistics.
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