Nanotechnology in Industry

2021 ◽  
pp. 1-14
Keyword(s):  
Material Science ◽  
Industrial Applications ◽  
Historical Background ◽  
Rapid Progress ◽  
Nanotechnology Development

Nanotechnology development has a rapid progress for material science that effect on variant applications in our life. For this reason, we have focus on the importance of nanotechnology in electrical applications. This chapter describes the Classification of nanomaterials, dielectrics, nanodielectrics and historical background of nanotechnology materials in our life. This chapter contains the concepts of nanodielectrics, nanofluids development and shed in brief on the electrical and industrial applications of nanotechnology in our life. Also, the purpose of present work is presented in this chapter.

Depression

2017 ◽  
Author(s):  
Philip Cowen
Keyword(s):  
International Classification Of Diseases ◽  
Behavioural Therapy ◽  
Historical Background ◽  
Cognitive Behavioural ◽  
Classification Of Diseases ◽  
Icd 10 ◽  
Diagnosis And Classification ◽  
Modern Experience ◽  
Symptoms And Signs

This chapter discusses the symptomatology, diagnosis, and classification of depression. It begins with a brief historical background on depression, tracing its origins to the classical term ‘melancholia’ that describes symptoms and signs now associated with modern concepts of the condition. It then considers the phenomenology of the modern experience of depression, its diagnosis in the operational scheme of ICD-10 (International Classification of Diseases, tenth edition), and current classificatory schemes. It looks at the symptoms needed to meet the criteria for ‘depressive episode’ in ICD-10, as well as clinical features of depression with ‘melancholic’ features or ‘somatic depression’ in ICD-10. It also presents an outline of the clinical assessment of an episode of depression before concluding with an overview of issues that need to be taken into account when addressing approaches to treatment, including cognitive behavioural therapy and the administration of antidepressants.

scholarly journals Health Benefits and Industrial Applications of Functional Cowpea Seed Proteins

2021 ◽  
Author(s):  
Alexandre Carneiro da Silva ◽  
Marcos de Freitas Barbosa ◽  
Pedro Bento da Silva ◽  
Janiffe Peres de Oliveira ◽  
Tatiana Loureiro da Silva ◽  
...  
Keyword(s):  
Material Science ◽  
New Technologies ◽  
Health Benefits ◽  
Seed Proteins ◽  
Industrial Applications ◽  
Ultraviolet Rays ◽  
Metabolic Functions ◽  
Cowpea Seed ◽  
Social Importance ◽  
Cowpea Proteins

Cowpea (Vigna unguiculata) is among the pulse’s species of greatest economic and social importance. This legume is strategic for the food security and health of millions of people in the world. Cowpea is rich in nutraceuticals compounds such as dietary fibre, antioxidants and polyunsaturated fatty acids and polyphenols, whose health benefits and use in the food industry have been extensively studied. However, research on the identification of functional proteins from cowpea, their metabolic functions and applications in the food, health and other industries are still scarce. In this chapter, a critical review of the most recent and important research about functional cowpea proteins. We objective was identify and systematize information about the nature and functions of these proteins, as well as their use and applications in food, health and other industries. Cowpea seed proteins are highly versatile and offer direct health benefits such as reducing the incidence of cardiovascular disease and some types of cancer. The proteins of cowpea are also used in material science for the development of new technologies such as development of special fabrics for protection against ultraviolet rays and microencapsulation of ascorbic acid.

Classification of Biological Sequences

Data Mining ◽  
2013 ◽  
pp. 1019-1042
Author(s):  
Pratibha Rani ◽  
Vikram Pudi
Keyword(s):  
Naive Bayes ◽  
Analysis Data ◽  
Naïve Bayes ◽  
Biological Data ◽  
Rapid Progress ◽  
Biological Data Analysis ◽  
Depth Analysis ◽  
Iterative Scaling ◽  
Mining Methods

The rapid progress of computational biology, biotechnology, and bioinformatics in the last two decades has led to the accumulation of tremendous amounts of biological data that demands in-depth analysis. Data mining methods have been applied successfully for analyzing this data. An important problem in biological data analysis is to classify a newly discovered sequence like a protein or DNA sequence based on their important features and functions, using the collection of available sequences. In this chapter, we study this problem and present two Bayesian classifiers RBNBC (Rani & Pudi, 2008a) and REBMEC (Rani & Pudi, 2008c). The algorithms used in these classifiers incorporate repeated occurrences of subsequences within each sequence (Rani, 2008). Specifically, Repeat Based Naive Bayes Classifier (RBNBC) uses a novel formulation of Naive Bayes, and the second classifier, Repeat Based Maximum Entropy Classifier (REBMEC) uses a novel framework based on the classical Generalized Iterative Scaling (GIS) algorithm.

scholarly journals Visual-Based Defect Detection and Classification Approaches for Industrial Applications—A SURVEY

Sensors ◽  
2020 ◽  
Vol 20 (5) ◽  
pp. 1459 ◽  
Author(s):  
Tamás Czimmermann ◽  
Gastone Ciuti ◽  
Mario Milazzo ◽  
Marcello Chiurazzi ◽  
Stefano Roccella ◽  
...  
Keyword(s):  
Deep Learning ◽  
Defect Detection ◽  
Visual Processing ◽  
State Of The Art ◽  
Industrial Applications ◽  
The State ◽  
Shape Error ◽  
Supervised Classifiers ◽  
Processing Techniques

This paper reviews automated visual-based defect detection approaches applicable to various materials, such as metals, ceramics and textiles. In the first part of the paper, we present a general taxonomy of the different defects that fall in two classes: visible (e.g., scratches, shape error, etc.) and palpable (e.g., crack, bump, etc.) defects. Then, we describe artificial visual processing techniques that are aimed at understanding of the captured scenery in a mathematical/logical way. We continue with a survey of textural defect detection based on statistical, structural and other approaches. Finally, we report the state of the art for approaching the detection and classification of defects through supervised and non-supervised classifiers and deep learning.

Geometric Interoperability With Epsilon Solidity

2005 ◽  
Vol 6 (3) ◽  
pp. 213-220 ◽  
Author(s):  
Jianchang Qi ◽  
Vadim Shapiro
Keyword(s):  
Data Sharing ◽  
Ad Hoc ◽  
Industrial Applications ◽  
Data Interoperability ◽  
Systematic Classification ◽  
Geometric Data ◽  
Modeling Systems ◽  
Data Translation ◽  
Lost Time

Geometric data interoperability is critical in industrial applications where geometric data are transferred (translated) among multiple modeling systems for data sharing and reuse. A big obstacle in data translation lies in that geometric data are usually imprecise and geometric algorithm precisions vary from system to system. In the absence of common formal principles, both industry and academia embraced ad hoc solutions, costing billions of dollars in lost time and productivity. This paper explains how the problem of interoperability, and data translation in particular, may be formulated and studied in terms of a recently developed theory of ε-solidity. Furthermore, a systematic classification of problems in data translation shows that in most cases ε-solids can be maintained without expensive and arbitrary geometric repairs.

scholarly journals Classification of psychopathology: conceptual and historical background

2018 ◽  
Vol 17 (3) ◽  
pp. 241-242 ◽  
Author(s):  
Kenneth S. Kendler
Keyword(s):  
Historical Background

Personality Disorder According to the ICD 9 and DSM III and Their Value in Court Reporting

1986 ◽  
Vol 26 (2) ◽  
pp. 113-124 ◽  
Author(s):  
J. J. Gayford ◽  
H. N. K. Jungalwalla
Keyword(s):  
Personality Disorder ◽  
Personality Disorders ◽  
Forensic Psychiatry ◽  
Critical Evaluation ◽  
Historical Background ◽  
Court Reporting ◽  
Personality Typology

The historical background to classification of personality is briefly reviewed. A more detailed comparative account is given of the ICD 9 (1978) and the DSM III (1980) typological classifications of personality disorders. Their value in court reporting is discussed. A critical evaluation is made of personality typology. The conclusion is that in spite of certain defects they are a useful method of transmitting information and of making prognostications in forensic psychiatry.

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