STRUCTURING HUMAN AUGMENTATION WITHIN PRODUCT DESIGN

Proceedings of the Design Society ◽

10.1017/pds.2021.534 ◽

2021 ◽

Vol 1 ◽

pp. 2731-2740

Author(s):

Muriel De Boeck ◽

Kristof Vaes

Keyword(s):

Product Design ◽

Human Body ◽

Research Field ◽

Structural Basis ◽

Physical Impairments ◽

Dimensional Classification ◽

Technological Improvements ◽

Human Augmentation

AbstractHuman augmentation is a thriving research field that aims to amplify human abilities through the development of technological improvements as an integral part of the human body. Human augmentation products may be made for anyone, ranging from healthy users wanting to enhance their human abilities to users who face temporary or permanent disabilities, physical impairments, or perilous situations that oblige them to use these products.This article attempts to introduce readers to the domain of human augmentation by providing a thorough formulation of the concept and its related terms to develop a more solid structural basis. Additionally, a categorical and dimensional classification of the field was given. Based on these findings, we then proposed a novel framework in the form of a diagrammatic presentation of both classifications, which could enable product designers to better understand and characterize the type of human augmentation product they are designing by determining its location in the diagram. Finally, the proposed framework was evaluated by introducing and classifying several significant human augmentation products most of which have proven to successfully exceed human abilities.

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Matrix metalloproteinases: structure, functions and genetic polymorphism

Nauchno-prakticheskii zhurnal «Patogenez» ◽

10.25557/gm.2017.2.7297 ◽

2017 ◽

pp. 14-23

Author(s):

А.С. Шадрина ◽

И.В. Терешкина ◽

Я.З. Плиева ◽

Д.Н. Кушлинский ◽

Д.О. Уткин ◽

...

Keyword(s):

Genetic Polymorphism ◽

Matrix Metalloproteinases ◽

Active Center ◽

Human Body ◽

Enzymatic Catalysis ◽

Structure Functions ◽

Zinc Ion ◽

Etiological Factors ◽

Mmp Genes

Матриксные металлопротеиназы (ММП) - ферменты класса гидролаз, осуществляющие ферментативный катализ с помощью связанного в активном центре иона цинка. Функции ММП разнообразны, и нарушение баланса их активности может быть одним из этиологических факторов различных заболеваний. В данном обзоре рассмотрена классификация ММП человека, особенности их структуры и регуляции, а также роль в физиологических и патологических процессах в организме человека. Приведен перечень наиболее изученных на настоящий момент полиморфных вариантов генов MMП, описаны их функциональные эффекты и представлены результаты ассоциативных исследований. Matrix metalloproteinases (MMPs) are enzymes of the hydrolase class that carry out enzymatic catalysis with the help of a zinc ion bound in the active center. MMP functions are diverse, and a disturbance in the balance of their activity may be one of the etiological factors of various diseases. In this review, the classification of human MMP, the features of their structure and regulation, as well as the role in physiological and pathological processes in the human body are considered. A list of the most studied polymorphic versions of MMP genes has been given, their functional effects have been described, and the results of associative studies have been presented.

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Diagnoses, Dimensions, and DSM-5

The Oxford Handbook of Clinical Psychology ◽

10.1093/oxfordhb/9780195366884.013.0013 ◽

2010 ◽

pp. 254-279

Author(s):

Thomas A. Widiger ◽

Maryanne Edmundson

Keyword(s):

Substance Use ◽

Mental Disorders ◽

Paradigm Shift ◽

Empirical Support ◽

Statistical Manual ◽

Diagnostic And Statistical Manual ◽

Dsm 5 ◽

Dimensional Classification ◽

Diagnosis And Classification

The Diagnostic and Statistical Manual of Mental Disorders, Third Edition (DSM-III) is often said to have provided a significant paradigm shift in how psychopathology is diagnosed. The authors of DSM-5 have the empirical support and the opportunity to lead the field of psychiatry to a comparably bold new future in diagnosis and classification. The purpose of this chapter is to address the validity of the categorical and dimensional models for the classification and diagnosis of psychopathology. Considered in particular will be research concerning substance use disorders, mood disorders, and personality disorders. Limitations and concerns with respect to a dimensional classification of psychopathology are also considered. The chapter concludes with a recommendation for a conversion to a more quantitative, dimensional classification of psychopathology.

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Towards a contemporary approach for understanding personality pathology in developmental context: An integrative model

Development and Psychopathology ◽

10.1017/s0954579421000869 ◽

2021 ◽

pp. 1-10

Author(s):

Melody R. Altschuler ◽

Robert F. Krueger

Keyword(s):

Personality Disorders ◽

Personality Pathology ◽

Integrative Model ◽

Research Domain Criteria ◽

Developmental Context ◽

Dimensional Classification ◽

Developmental Theories ◽

Underlying Mechanisms ◽

Research Domain

Abstract Traditional categorical approaches to classifying personality disorders are limited in important ways, leading to a shift in the field to dimensional approaches to conceptualizing personality pathology. Different areas of psychology – personality, developmental, and psychopathology – can be leveraged to understand personality pathology by examining its structure, development, and underlying mechanisms. However, an integrative model that encompasses these distinct lines of inquiry has not yet been proposed. In order to address this gap, we review the latest evidence for dimensional classification of personality disorders based on structural models of maladaptive personality traits, provide an overview of developmental theories of pathological personality, and summarize the Research Domain Criteria (RDoC) initiative, which seeks to understand underlying mechanisms of psychopathology. We conclude by proposing an integrative model of personality pathology development that aims to elucidate the developmental pathways of personality pathology and its underlying mechanisms.

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UV Spectral Classification of B Stars

Symposium - International Astronomical Union ◽

10.1017/s0074180900079092 ◽

1985 ◽

Vol 111 ◽

pp. 411-413

Author(s):

Janet Rountree ◽

George Sonneborn ◽

Robert J. Panek

Keyword(s):

Classification System ◽

Classification Criteria ◽

High Dispersion ◽

Spectral Classification ◽

Early Type ◽

B Stars ◽

Dimensional Classification ◽

Early Type Stars ◽

Comprehensive Classification

Previous studies of ultraviolet spectral classification have been insufficient to establish a comprehensive classification system for ultraviolet spectra of early-type stars because of inadequate spectral resolution. We have initiated a new study of ultraviolet spectral classification of B stars using high-dispersion IUE archival data. High-dispersion SWP spectra of MK standards and other B stars are retrieved from the IUE archives and numerically degraded to a uniform resolution of 0.25 or 0.50 Å. The spectra (in the form of plots or photowrites) are then visually examined with the aim of setting up a two-dimensional classification matrix. We follow the method used to create the MK classification system for visual spectra. The purpose of this work is to examine the applicability of the MK system (and in particular, the set of standard stars) in the ultraviolet, and to establish classification criteria in this spectral region.

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Prospects for the classification of mental disorders of children and adolescents

European Psychiatry ◽

10.1016/j.eurpsy.2008.07.003 ◽

2008 ◽

Vol 23 (7) ◽

pp. 481-485 ◽

Cited By ~ 1

Author(s):

M.H. Schmidt ◽

J. Sinzig

Keyword(s):

Mental Disorders ◽

Children And Adolescents ◽

Classification Systems ◽

General Question ◽

Specific Information ◽

Specific Symptom ◽

Trade Offs ◽

Dimensional Classification ◽

Dsm V

AbstractSuggestions for classification of mental disorders of children and adolescents in DSM-V and ICD-11 have been made, which differ strongly from the current descriptive approach of dimensional classification.These suggestions even comprise a dichotomized system for health care as well as for scientific purposes.Nevertheless it is obvious that we are far behind an “etiological” classification, so that trade-offs have necessarily to be made in DSM-V and ICD-11.Appropriate proposals concern the strict separation of disorders that are typical for children and adolescents as well as for adults.Furthermore a differentiation of diagnosis for infants, toddlers and preschool children is required in both classification systems. As far as it is relevant for treatment, combined diagnosis in DSM-V and subthreshold diagnosis as well as coding-possibilities for findings in molecular biology should be permitted.As personality disorders should only be diagnosed after the age of 16, it is recommended to dimensionally classify personality traits that are pathognomonic for specific symptom patterns and of prognostic relevance.DSM-V and ICD-11 should allow age-specific information on axis-IV. The article discusses the general question of how relational disorders respectively disturbances should be classified and include furthermore special recommendations concerning ICD and DSM categories.

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The Methodological Approach to Multi-dimensional Classification of Regions by Investment Potential

Mediterranean Journal of Social Sciences ◽

10.5901/mjss.2015.v6n6s7p194 ◽

2015 ◽

Author(s):

Liliia V. Matraeva ◽

Olga E. Bashina

Keyword(s):

Methodological Approach ◽

Dimensional Classification ◽

Classification Of Regions

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Human Activity Recognition with Deep Learning: Overview, Challenges & Possibilities

10.20944/preprints202102.0349.v3 ◽

2021 ◽

Author(s):

Pranjal Kumar

Keyword(s):

Deep Learning ◽

Activity Recognition ◽

Human Activity ◽

Well Being ◽

Human Activity Recognition ◽

Research Field ◽

Daily Lives ◽

Video Cameras ◽

Advantages And Disadvantages

Human Activity Recognition (HAR) has become a vibrant research field over the last decade, especially because of the spread of electronic devices like mobile phones, smart cell phones, and video cameras in our daily lives. In addition, the progress of deep learning and other algorithms has made it possible for researchers to use HAR in many fields including sports, health, and well-being. HAR is, for example, one of the most promising resources for helping older people with the support of their cognitive and physical function through day-to-day activities. This study focuses on the key role machine learning plays in the development of HAR applications. While numerous HAR surveys and review articles have previously been carried out, the main/overall HAR issue was not taken into account, and these studies concentrate only on specific HAR topics. A detailed review paper covering major HAR topics is therefore essential. This study analyses the most up-to-date studies on HAR in recent years and provides a classification of HAR methodology and demonstrates advantages and disadvantages for each group of methods. This paper finally addresses many problems in the current HAR subject and provides recommendations for potential study.

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