Narcissism Today: What We Know and What We Need to Learn

2021 ◽  
pp. 096372142110441
Author(s):  
Joshua D. Miller ◽  
Mitja D. Back ◽  
Donald R. Lynam ◽  
Aidan G. C. Wright
Keyword(s):  
Self Esteem ◽  
Public Research ◽  
Factor Level ◽  
Future Directions ◽  
Vulnerable Narcissism ◽  
The Past ◽  
Current State ◽  
Substantial Progress ◽  
Lay Public ◽  
Three Factor

Narcissism is of great interest to behavioral scientists and the lay public. Research across the past 20 years has led to substantial progress in the conceptualization, measurement, and study of narcissism. This article reviews the current state of the field, identifying recent advances and outlining future directions. Advances include hierarchical conceptualizations of narcissism across one-factor (narcissism), two-factor (grandiose vs. vulnerable narcissism), and three-factor (agentic extraversion, antagonism, narcissistic neuroticism) levels; the development of measures to assess the components of narcissism; clarification of the relations between narcissism and self-esteem; an understanding of the behavioral and motivational dynamics underlying narcissistic actions and social outcomes; and insight regarding potential fluctuations between narcissistic states. Future directions point in general to increased research using the lower levels of the narcissism hierarchy, especially the three-factor level. At this level, more research on the etiology, heritability, stability, and centrality of the three components is required.

Narcissism_Overview_CDPS

2021 ◽  
Author(s):  
Josh Miller ◽  
Mitja Back ◽  
Donald Lynam ◽  
Aidan G.C. Wright
Keyword(s):  
Self Esteem ◽  
Public Research ◽  
Factor Level ◽  
Future Directions ◽  
Vulnerable Narcissism ◽  
Potential Fluctuations ◽  
Current State ◽  
Substantial Progress ◽  
Lay Public ◽  
Three Factor

Narcissism is of great interest to behavioral scientists and the lay public. Research across the last 20 years has led to substantial progress in the conceptualization, measurement, and study of narcissism. The present paper reviews the current state of the field, identifying recent advances and outlining future directions. Advances include hierarchical conceptualizations of narcissism across one (narcissism), two (grandiose vs. vulnerable narcissism), and three factor levels (agentic extraversion, antagonism, narcissistic neuroticism), the development of measures to assess the components of narcissism, clarification of the relations between narcissism and self-esteem, an understanding of the behavioral and motivational dynamics underlying narcissistic actions and social outcomes, and insight regarding potential fluctuations between narcissistic states. Future directions point in general to increased research using the lower levels of the narcissism hierarchy, especially the three-factor level. At this level, more research is required on the etiology, heritability, stability, and centrality of the three components.

Reflections on Thirty Years of Muqarnas

2014 ◽  
Vol 30 (1) ◽  
pp. 1-12 ◽  
Author(s):  
Gülru Necipoğlu
Keyword(s):  
Board Members ◽  
Islamic Art ◽  
Future Directions ◽  
The Past ◽  
Advisory Boards ◽  
Current State ◽  
Thirtieth Anniversary ◽  
History Of ◽  
Art And Architecture ◽  
State Of The Field

In this volume marking the thirtieth anniversary of Muqarnas, the Editor reflects on the evolution of the journal over the years. To that end, the members of the Editorial and Advisory Boards were sent a questionnaire, asking them to comment on the contributions of Muqarnas and its Supplements series to the field of Islamic art and architecture studies over the past three decades, and to provide suggestions for future directions. Their observations, thoughts, and hopes for Muqarnas have been anonymously incorporated into this essay, which, in conversation with their comments, looks back on the history of the publication and offers some possibilities for the path it might take going forward.
The goal here is neither to assess the historiography nor to examine the current state of the field thirty years after the opening essay of volume 1. Instead, the focus is on the development and impact of both Muqarnas and the Supplements series in a highly specialized field with relatively few and short-lived or sporadic journals, before turning to the successes and shortcomings of these publications, as outlined by some of the board members. 


scholarly journals Machine Learning Interpretability: A Survey on Methods and Metrics

Electronics ◽  
2019 ◽  
Vol 8 (8) ◽  
pp. 832 ◽  
Author(s):  
Diogo V. Carvalho ◽  
Eduardo M. Pereira ◽  
Jaime S. Cardoso
Keyword(s):  
Machine Learning ◽  
Social Impact ◽  
Research Field ◽  
Learning Systems ◽  
Future Directions ◽  
The Past ◽  
Current State ◽  
Black Boxes ◽  
Interpretable Models

Machine learning systems are becoming increasingly ubiquitous. These systems’s adoption has been expanding, accelerating the shift towards a more algorithmic society, meaning that algorithmically informed decisions have greater potential for significant social impact. However, most of these accurate decision support systems remain complex black boxes, meaning their internal logic and inner workings are hidden to the user and even experts cannot fully understand the rationale behind their predictions. Moreover, new regulations and highly regulated domains have made the audit and verifiability of decisions mandatory, increasing the demand for the ability to question, understand, and trust machine learning systems, for which interpretability is indispensable. The research community has recognized this interpretability problem and focused on developing both interpretable models and explanation methods over the past few years. However, the emergence of these methods shows there is no consensus on how to assess the explanation quality. Which are the most suitable metrics to assess the quality of an explanation? The aim of this article is to provide a review of the current state of the research field on machine learning interpretability while focusing on the societal impact and on the developed methods and metrics. Furthermore, a complete literature review is presented in order to identify future directions of work on this field.

scholarly journals Economics in the Former Soviet Union

1992 ◽  
Vol 6 (2) ◽  
pp. 137-148 ◽  
Author(s):  
Michael Alexeev ◽  
Clifford Gaddy ◽  
Jim Leitzel
Keyword(s):  
Graduate Students ◽  
Soviet Union ◽  
Former Soviet Union ◽  
Political Leadership ◽  
Future Directions ◽  
The Past ◽  
Current State ◽  
Course Of Action ◽  
The Soviet Union ◽  
Economics Profession

One of the most notable, but least discussed, aspects of the halting attempts during the past six years to reform the economies of the Soviet Union, and now those of its successor states, has been the prominent role played by professional economists. Not since the mid-1920s has the Soviet political leadership felt so strongly the need to draw upon the expertise of the economics profession to help determine its course of action. In this paper, we attempt to characterize the current state of economics in the former Soviet Union, investigate the implications that the condition of Soviet economics has for reform, and suggest possible future directions for the discipline. Our information comes from four main sources: professional publications of Soviet and Western economists, published remarks by Soviet economists, personal interviews and discussions which we conducted with young Soviet economists in the summers of 1990 and 1991, and a questionnaire administered to Soviet economists and graduate students in the Soviet Union.

scholarly journals Mosaicing: Current Status

1994 ◽  
Vol 140 ◽  
pp. 96-103
Author(s):  
T.J. Cornwell
Keyword(s):  
Current Status ◽  
The Past ◽  
Current State ◽  
Substantial Progress

AbstractOver the past several years, there has been substantial progress both in algorithms for mosaicing and in our understanding of the effects of errors on mosaiced image. I describe the current state of knowledge in both these areas and also indicate where future improvements are likely to lie.

Microwave Processing of Ceramics - An Overview

1992 ◽  
Vol 269 ◽  
Author(s):  
Willard H. Sutton
Keyword(s):  
State Of The Art ◽  
Microwave Processing ◽  
Microwave Energy ◽  
Early Developmental Stage ◽  
Future Directions ◽  
New Developments ◽  
The Past ◽  
Current State ◽  
Potential Benefits ◽  
Early Developmental

ABSTRACTDuring the past decade, many exploratory studies and experiments have been performed on the microwave heating and processing of ceramics and composite materials. Much of this effort was stimulated by the unique and potential benefits that microwave energy can provide over conventional processing methods. While microwave processing of ceramics is still in an early developmental stage, there are many areas yet to be explored, challenges to be met, and economic and commercial payoffs to be substantiated.Since the first MRS International Symposium on Microwave Processing in 1988, interest in this field has grown and many new developments have occurred. The purpose of this paper is to highlight some of the recent advances, to discuss the current state-of-the-art, and to suggest some future directions.

Shoulder Arthroplasty: Current State of Affairs and Future Directions

2009 ◽  
Author(s):  
Ranjan Gupta
Keyword(s):  
Shoulder Arthroplasty ◽  
Implant Design ◽  
Future Directions ◽  
The Past ◽  
Design Engineers ◽  
Clinical Observations ◽  
Current State ◽  
Reliable Procedure ◽  
State Of Affairs ◽  
Shoulder Arthroplasties

Shoulder arthroplasty is a reliable procedure used to treat glenohumeral arthritis thanks to the efforts of many orthopaedic surgeons and design engineers over the past thirty years. Surgeons such Drs. Charles Neer and Robert Cofield were instrumental to making clinical observations that were effectively translated into improving implant design and clinical outcomes. Yet, there remains much room for further growth and development. With the increase numbers of shoulder arthroplasties performed, new observations and problems have been recognized that remain unanswered.

Report from the 2nd Int. Workshop on Education through Advanced Software Engineering and Artificial Intelligence (EASEAI '20)

2021 ◽  
Vol 46 (2) ◽  
pp. 28-29
Author(s):  
Benoît Vanderose ◽  
Julie Henry ◽  
Benoît Frénay ◽  
Xavier Devroey
Keyword(s):  
Artificial Intelligence ◽  
Software Engineering ◽  
Engineering Education ◽  
State Of The Art ◽  
Future Directions ◽  
The Past ◽  
Software Engineering Education ◽  
Current State ◽  
Amount Of Knowledge ◽  
Software Engineering Tools

In the past years, with the development and widespread of digi- tal technologies, everyday life has been profoundly transformed. The general public, as well as specialized audiences, have to face an ever-increasing amount of knowledge and learn new abilities. The EASEAI workshop series addresses that challenge by look- ing at software engineering, education, and arti cial intelligence research elds to explore how they can be combined. Speci cally, this workshop brings together researchers, teachers, and practi- tioners who use advanced software engineering tools and arti cial intelligence techniques in the education eld and through a trans- generational and transdisciplinary range of students to discuss the current state of the art and practices, and establish new future directions. More information at https://easeai.github.io.

scholarly journals Global-local attention for emotion recognition

2021 ◽  
Author(s):  
Nhat Le ◽  
Khanh Nguyen ◽  
Anh Nguyen ◽  
Bac Le
Keyword(s):  
Emotion Recognition ◽  
State Of The Art ◽  
Contextual Information ◽  
Research Area ◽  
The Past ◽  
Current State ◽  
Substantial Progress ◽  
Human Emotions ◽  
Active Research ◽  
Active Research Area

AbstractHuman emotion recognition is an active research area in artificial intelligence and has made substantial progress over the past few years. Many recent works mainly focus on facial regions to infer human affection, while the surrounding context information is not effectively utilized. In this paper, we proposed a new deep network to effectively recognize human emotions using a novel global-local attention mechanism. Our network is designed to extract features from both facial and context regions independently, then learn them together using the attention module. In this way, both the facial and contextual information is used to infer human emotions, therefore enhancing the discrimination of the classifier. The intensive experiments show that our method surpasses the current state-of-the-art methods on recent emotion datasets by a fair margin. Qualitatively, our global-local attention module can extract more meaningful attention maps than previous methods. The source code and trained model of our network are available at https://github.com/minhnhatvt/glamor-net.

scholarly journals Recent Advances in Photo-Responsive Polypeptide Derived Nano-Assemblies

2018 ◽  
Author(s):  
Lu Yang ◽  
Houliang Tang ◽  
Hao Sun
Keyword(s):  
Value Added ◽  
Polymeric Materials ◽  
Industrial Applications ◽  
Ease Of Use ◽  
Stimuli Responsive ◽  
Future Directions ◽  
Mild Conditions ◽  
The Past ◽  
Current State ◽  
Spatiotemporal Control

Stimuli-responsive polymeric materials have attracted significant attentions in a variety of high-value-added and industrial applications during the past decade. Among various stimuli, light is of particular interest as a stimulus due to its unique advantages such as precisely spatiotemporal control, mild conditions, ease of use, and tunability. In recent years, a lot of effort toward synthesis of biocompatible and biodegradable polypeptide has resulted in many examples of photo-responsive nanoparticles. Depending on the specific photochemistry, those polypeptide derived nano-assemblies are capable of crosslinking, disassembling, or morphing into other shapes upon light irradiation. In this mini-review, we aim to assess the current state of photo-responsive polypeptide based nanomaterials. First, those “smart” nanomaterials will be categorized by their photo-triggered events (i.e., crosslinking, degradation, and isomerization) which are inherently governed by photo-sensitive functionalities including o-nitrobenzyl, coumarin, azobenzene, cinnamyl, and spiropyran. In addition, the properties and applications of those polypeptide nanomaterials will be highlighted as well. Finally, the current challenges and future directions of this subject will be evaluated.

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