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The Dark Side of Organizational Behavior

In one comprehensive collection, The Dark Side of Organizational Behavior provides a framework for understanding the most current thinking on the negative consequences of organizational behavior. Written by experts in the field, the contributors to The Dark Side of Organizational Behavior focus on the causes, processes, and consequences of behaviors in organizations that have a negative effect on the organization and the people in them.

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The Kitchen Herb Garden

This book is full of inspiration and practical advice on cultivating a kitchen herb garden, and on using its fresh, home-grown herbs in your cooking. There is detailed information on how to plan, plant, grow and maintain thirty selected herbs in a herb garden that will always be productive. Additionally,there are over sixty delicious recipes – from soups to sauces – forusing herbs in your kitchen.

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Women of Electronic

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Angry Birds Summer Madness

Sparks and feathers fly when a teenage Red, Chuck, Bomb and Stella spend a wild summer together with other Angry Birds at Camp Splinterwood.

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Women in Country

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Women of Dance

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cold pursuit

Quiet family man and hard-working snowplow driver Nels is the lifeblood of a glitzy resort town in the Rocky Mountains because he is the one who keeps the winter roads clear. He and his wife live in a comfortable cabin away from the tourists. The town has just awarded him “Citizen of the Year.” But Nels has to leave his quiet mountain life when his son is murdered by a powerful drug lord. As a man who has nothing to lose he is stoked by a drive for vengeance. This unlikely hero uses his hunting skills and transforms from an ordinary man into a skilled killer as he sets out to dismantle the cartel. Nels’ actions ignite a turf war between a manically unpredictable gangster known as Viking and a rival gang boss. Justice is served in one final spectacular confrontation that will leave (almost) no one unscathed.

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Happy Pop Hits

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Sounds of 2022

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Office Background Beats

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Estimation of Dynamical Nonlinear

Robotic and mechatronic systems, autonomous vehicles, electric power systems and smart grids, as well as manufacturing and industrial production systems can exhibit complex nonlinear dynamics or spatio-temporal dynamics which need to be controlled to ensure good functioning and performance.
In this comprehensive reference, the authors present new and innovative control and estimation methods and techniques based on dynamical nonlinear and partial differential equation systems. Such results can be classified in five main domains for the control of complex nonlinear dynamical systems using respectively methods of approximate (local) linearization, methods of exact (global) linearization, Lyapunov stability approaches, control and estimation of distributed parameter systems and stochastic estimation and fault diagnosis methods.
Control and Estimation of Dynamical Nonlinear and Partial Differential Equation Systems: Theory and applications will be of interest to electrical engineering, physics, computer science, robotics and mechatronics researchers and professionals working on control problems, condition monitoring, estimation and fault diagnosis and isolation problems. It will also be useful to skilled technical personnel working on applications in robotics, energy conversion, transportation and manufacturing.

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Applications of Artificial Intelligence

Increased use of artificial intelligence (AI) is being deployed in many hospitals and healthcare settings to help improve health care service delivery. Machine learning (ML) and deep learning (DL) tools can help guide physicians with tasks such as diagnosis and detection of diseases and assisting with medical decision making.
This edited book outlines novel applications of AI in e-healthcare. It includes various real-time/offline applications and case studies in the field of e-Healthcare, such as image recognition tools for assisting with tuberculosis diagnosis from x-ray data, ML tools for cancer disease prediction, and visualisation techniques for predicting the outbreak and spread of Covid-19.
Heterogenous recurrent convolution neural networks for risk prediction in electronic healthcare record datasets are also reviewed.
Suitable for an audience of computer scientists and healthcare engineers, the main objective of this book is to demonstrate effective use of AI in healthcare by describing and promoting innovative case studies and finding the scope for improvement across healthcare services.

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