Titlebook: Smart Nanomaterials in Biomedical Applications; Jin-Chul Kim,Madhusudhan Alle,Azamal Husen Book 2021 The Editor(s) (if applicable) and The

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Book 2021. The development of such nanomaterials requires a broad knowledge related to their physio-chemical properties, molecular structure, mechanisms by which the nanomaterials interact with the cells, and methods by which drugs are released at the site of action. This knowledge must also be allied with t

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Shreya Shashank Chauhan,Venessa Maurice Lobo,Samruddhi Nandkumar Borate,Saili Sachin Jagade,Venkata implementation of the methods presented, which makes the theory directly applicable in practice. In particular, all numerical examples in the book are included in demonstration files and can be reproduced by t978-3-030-07817-1978-3-319-89620-5Series ISSN 0178-5354 Series E-ISSN 2197-7119

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2523-8027 -chemical properties, molecular structure, mechanisms by which the nanomaterials interact with the cells, and methods by which drugs are released at the site of action. This knowledge must also be allied with t978-3-030-84264-2978-3-030-84262-8Series ISSN 2523-8027 Series E-ISSN 2523-8035

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s (e.g. heat spreaders) have entered the market (Chaps. 9–17); in contrast, the diamond from HPHT synthesis is almost exclusively used as grit for mechanical applications. Of special interest are market niches, where CVD diamond offers “enabling technologies“ that is the manufacturing of new product

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Mallikarjun Vasam,Raja Abhilash Punagoti,Rita Mouryahighlighted. The key experimental parameters, and their impact on deposition, are discussed in detail. The chemistry of combustion diamond CVD and its relation to the deposition mechanism is analyzed through a combination of . diagnostics and detailed reactor modeling. Lastly, examples of the implem

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Ramakrishna Dadigala,Rajkumar Bandi,Madhusudhan Alle,Bhagavanth Reddy Gangapuram,Seung-Hwan Leeic events, i. e., hurricanes, thunderstorms, etc., form the building blocks of the causal analysis joint probability predictive model. Thus, regionalized information may be employed in data scarce regions to aid in the predictive model formulation. This partitioning-aggregation procedure considers b