scholarly journals Autoimmune anti-N-methyl-D-aspartate receptor encephalitis — the current state of knowledge based on a clinical case

2018 ◽  
Vol 50 (1) ◽  
pp. 34-39 ◽  
Author(s):  
Rafał Wójtowicz ◽  
Magdalena Krawiec ◽  
Piotr Orlicz
Keyword(s):  
Clinical Case ◽  
Knowledge Based ◽  
Current State ◽  
Aspartate Receptor

scholarly journals Autoimmune anti-N-methyl-D-aspartate receptor encephalitis – current state of knowledge overview based on the clinical case

2017 ◽  
Vol 17 (1) ◽  
pp. 49-54
Author(s):  
Rafał Wójtowicz ◽  
◽  
Magdalena Krawiec ◽  
Piotr Orlicz ◽  
◽  
...  
Keyword(s):  
Clinical Case ◽  
Current State ◽  
Aspartate Receptor

scholarly journals Vibrio metschnikovii : Current state of knowledge and discussion of recently identified clinical case

2021 ◽  
Author(s):  
Yulian Konechnyi ◽  
Yurii Khorkavyi ◽  
Kateryna Ivanchuk ◽  
Ihor Kobza ◽  
Alicja Sękowska ◽  
...  
Keyword(s):  
Clinical Case ◽  
Current State ◽  
Vibrio Metschnikovii

scholarly journals In Search of Inner Wisdom: Guided Mindfulness Meditation in the Context of Suicide

2004 ◽  
Vol 4 ◽  
pp. 216-227 ◽  
Author(s):  
Liora Birnbaum ◽  
Aiton Birnbaum
Keyword(s):  
Mental Health Professionals ◽  
Health Professionals ◽  
Group Intervention ◽  
Clinical Case ◽  
Mindfulness Meditation ◽  
External Source ◽  
The Self ◽  
Diverse Populations ◽  
Suicide Survivors ◽  
Current State

Spiritual concerns are highly relevant, but often ignored, in psychotherapy in general and in suicide in particular. This article presents Internet data and clinical case material bearing on the topic, and describes an innovative therapeutic intervention administered in a group-workshop format with suicide survivors and mental health professionals. The technique incorporates relaxation and mindfulness meditation, with the addition of guided meditation in search of inner wisdom. Results of the group intervention are described and illustrated. Many participants reported a significant positive experience including connection to knowledge that was highly relevant to them in their current state of life. Whether such insights were experienced as coming from within (a deeper part of the self) or from an external source (a guiding figure or presence), indications are that guided meditation can be a powerful resource for therapists and their clients, suicidal and otherwise. Possible applications in diverse populations and settings, as well as the need for further research, are discussed.

Valuing Knowledge-Based Initiatives

2013 ◽  
pp. 1-15
Author(s):  
Hind Benbya
Keyword(s):  
Empirical Analysis ◽  
Silicon Valley ◽  
Business Value ◽  
Theory And Practice ◽  
Knowledge Based ◽  
Current State ◽  
Knowledge Value

The objective of this paper is to provide an overview of the current state of theory and practice on valuing Knowledge-Based Initiatives (KBI). Drawing on the literature concerning IT and business value, this paper summarizes what is known about valuing IT-based initiatives, discusses the specificity of KBI and outline main challenges that continue to limit research in this area. This paper also examines how managers deal with these challenges and what metrics they use to assess knowledge value. These managerial insights are derived from interviews as well as empirical analysis of several Silicon Valley firms. This paper gives an emerging approach for valuing KBI and illustrates its implementation with a case study from IBM.

Word Sense Disambiguation

2013 ◽  
pp. 22-51
Author(s):  
Pushpak Bhattacharyya ◽  
Mitesh Khapra
Keyword(s):  
State Of The Art ◽  
Word Sense Disambiguation ◽  
Current Trend ◽  
General Purpose ◽  
Word Sense ◽  
Domain Specific ◽  
Knowledge Based ◽  
Current State ◽  
Sense Disambiguation ◽  
State Of Affairs

This chapter discusses the basic concepts of Word Sense Disambiguation (WSD) and the approaches to solving this problem. Both general purpose WSD and domain specific WSD are presented. The first part of the discussion focuses on existing approaches for WSD, including knowledge-based, supervised, semi-supervised, unsupervised, hybrid, and bilingual approaches. The accuracy value for general purpose WSD as the current state of affairs seems to be pegged at around 65%. This has motivated investigations into domain specific WSD, which is the current trend in the field. In the latter part of the chapter, we present a greedy neural network inspired algorithm for domain specific WSD and compare its performance with other state-of-the-art algorithms for WSD. Our experiments suggest that for domain-specific WSD, simply selecting the most frequent sense of a word does as well as any state-of-the-art algorithm.

The state of the knowledge-based economy in the Arab world: cases of Qatar and Lebanon

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Tarek Ben Hassen
Keyword(s):  
Arab World ◽  
Innovation System ◽  
Policy Implications ◽  
Structured Interviews ◽  
Content Type ◽  
Knowledge Based ◽  
Current State ◽  
Knowledge Based Economy ◽  
Low Performance ◽  
Ict Infrastructure

PurposeThe purpose of this paper is to examine the current state of the knowledge-based economy in two distinctive case studies in the Arab World: Qatar and Lebanon. Based on five aspects of the knowledge-based economy namely: ICT, human capital and education; innovation, entrepreneurship, and economic and institutional regime, we provide a careful view of the obstacles and challenges that Qatar and Lebanon are facing and how this is hindering their transformation to a knowledge-based economy.Design/methodology/approachThe methodology of this research is based on a literature review and information collected through semi-structured interviews with the different stakeholders of the knowledge-based economy in Qatar and Lebanon.FindingsThe research reveals that numerous factors shape the knowledge-based economy in Qatar and Lebanon. In Qatar, the main strength of the knowledge-based economy is the determination of the Qatari government to diversify the economy and the main weaknesses are the shortage of qualified human resources, the fear of failure and the low performance of the innovation system. In Lebanon, the knowledge-based economy is driven by the education system and the entrepreneurship culture, nevertheless the political instability of the country and the weak ICT infrastructure impede its development.Originality/valueThese findings contribute to the clarification and critical analysis of the current state of the knowledge-based economy in Qatar and Lebanon, which would have several policy implications.

Role of Corporate Universities in Higher Education

2015 ◽  
Vol 2 (1) ◽  
pp. 30-43 ◽  
Author(s):  
Neeta Baporikar
Keyword(s):  
Higher Education ◽  
United Arab Emirates ◽  
Global Economy ◽  
Middle Eastern ◽  
Corporate University ◽  
Learning And Development ◽  
Corporate Universities ◽  
Knowledge Based ◽  
Current State

Learning and development has become increasingly challenging, critical, sophisticated and vital in knowledge based global economy. This trend is now accelerating in the rest of Asia and the Middle East. Corporations such as Infosys in India, Huawei in China, Singapore Airlines in Singapore and Etisalat in the United Arab Emirates have well-established corporate universities/learning centers. Other Asian and Middle Eastern corporations, both large and small, are following suit and allocating huge resources to strengthen their learning and development function. As corporate universities make new waves, the days of viewing them as training departments with fancy names are gone. Besides, the corporate university movement has become truly global in scope with them becoming sophisticated and highly visible world over. Using published research and the author's own work, this paper explores the current state of the corporate university and role of corporate university in higher education.

Predictive Models in Urology

2013 ◽  
Vol 80 (1) ◽  
pp. 42-45 ◽  
Author(s):  
Andrea Cestari
Keyword(s):  
Artificial Intelligence ◽  
Neural Networks ◽  
Predictive Modeling ◽  
Predictive Models ◽  
Machine Intelligence ◽  
Health Records ◽  
Knowledge Based ◽  
Current State ◽  
Computer Based ◽  
Future Direction

Predictive modeling is emerging as an important knowledge-based technology in healthcare. The interest in the use of predictive modeling reflects advances on different fronts such as the availability of health information from increasingly complex databases and electronic health records, a better understanding of causal or statistical predictors of health, disease processes and multifactorial models of ill-health and developments in nonlinear computer models using artificial intelligence or neural networks. These new computer-based forms of modeling are increasingly able to establish technical credibility in clinical contexts. The current state of knowledge is still quite young in understanding the likely future direction of how this so-called ‘machine intelligence’ will evolve and therefore how current relatively sophisticated predictive models will evolve in response to improvements in technology, which is advancing along a wide front. Predictive models in urology are gaining progressive popularity not only for academic and scientific purposes but also into the clinical practice with the introduction of several nomograms dealing with the main fields of onco-urology.

UNDERSTANDING SOFTWARE PRODUCTIVITY: TOWARDS A KNOWLEDGE-BASED APPROACH

1991 ◽  
Vol 01 (03) ◽  
pp. 293-321 ◽  
Author(s):  
WALT SCACCHI
Keyword(s):  
Modeling And Simulation ◽  
State Of The Art ◽  
Simulation System ◽  
Knowledge Based ◽  
Current State ◽  
Software Productivity ◽  
Productivity Modeling

What affects software productivity and how do we improve it? This report examines the current state of the art in understanding and measuring software productivity. In turn, it describes a framework for understanding software productivity, identifies some fundamentals of measurement, surveys selected studies of software productivity, and identifies variables that affect software productivity. Then, a radical alternative to current approaches is suggested: to construct, evaluate, deploy, and evolve a knowledge-based "software productivity modeling and simulation system."

scholarly journals On Resolving Ambiguous Anaphoric Expressions in Imperative Discourse

2019 ◽  
Vol 33 ◽  
pp. 6957-6964
Author(s):  
Vasanth Sarathy ◽  
Matthias Scheutz
Keyword(s):  
General Class ◽  
State Of The Art ◽  
Contextual Information ◽  
Anaphora Resolution ◽  
Proof Of Concept ◽  
Language Understanding ◽  
Concept System ◽  
Knowledge Based ◽  
Current State ◽  
Reasoning Systems

Anaphora resolution is a central problem in natural language understanding. We study a subclass of this problem involving object pronouns when they are used in simple imperative sentences (e.g., “pick it up.”). Specifically, we address cases where situational and contextual information is required to interpret these pronouns. Current state-of-the art statisticallydriven coreference systems and knowledge-based reasoning systems are insufficient to address these cases. In this paper, we introduce, with examples, a general class of situated anaphora resolution problems, propose a proof-of-concept system for disambiguating situated pronouns, and discuss some general types of reasoning that might be needed.

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