Titlebook: Parkinsonism and the Environment; Nikolay M. Filipov Book 2022 The Editor(s) (if applicable) and The Author(s), under exclusive license to

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2168-4219 the general public who are?interested in the contribution of environmental factors to neurological dysfunction are among the readership for this book.”978-3-030-87453-7978-3-030-87451-3Series ISSN 2168-4219 Series E-ISSN 2168-4235

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Aberrant Dopamine Homeostasis as a Focal Point in the Mechanism of Environmental Contaminant-Induced Dopaminergic Dysfunction, In addition, accurate and sensitive means to measure downstream products of reactive DA metabolites (e.g., protein adducts or DOPAL-conjugates) could reveal novel biomarkers of impaired dopamine homeostasis and pathogenic mechanisms indicative of later disease.

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PKC-Delta Is a Major Molecular Target for Diverse Dopaminergic Toxicants: Implications for Mechanistic and Translational Neurotoxicology, and function of PKCδ, focusing on its role in neuroinflammation and neurodegeneration during various neurotoxic stresses. Deciphering the intricate PKCδ signaling mechanisms will offer new translational insight into possible therapeutic interventions that can intercept this kinase to alleviate detrimental DAergic toxicity.

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CLAN

vitreous-humor

2168-4219 chapters from the true experts in the field in a single, foc“The book is comprised of individual reviews with the common goal of providing up-to-date state of the knowledge information on the role the environment plays in the pathogenesis of parkinsonism. The reviews focus on recent advances in the

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Shaped Beams from Circular Aperture Antennas,ith controlled side lobe levels from circular aperture antennas. This is possible with a proper set of root positions. These root positions will yield the proper shaped beams from circular apertures. Different shaped beams are generated with new root positions. These shaped beams will have specified and controlled side lobe level.

oxidant

Images Denoising by Improved Non-Local Means Algorithm,ssing the preservation of structure in a digital image. The NL-means algorithm is proven to be asymptotically optimal under a generic statistical image model. The powerful evaluation method to be the visualization of the method noise on natural images.

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