scholarly journals Robotic Scrub Nurse for Otolaryngology-Integrating an Assistive Robot in the Operating Room

2009 ◽  
Vol 3 (2) ◽  
Author(s):  
A. Agovic
Keyword(s):  
Operating Room ◽  
Specific Knowledge ◽  
Assistive Robots ◽  
Domain Specific ◽  
The Past ◽  
Area Of Interest ◽  
Technical Requirements ◽  
Assistive Robot ◽  
Domain Specific Knowledge ◽  
The One

Over the past year we have studied the challenges that must be overcome before we can introduce assistive robots in an operating room. We consider top among the issues a human-robot interface and an instrument-robot interface. In order for an autonomous mechanism to serve up instruments it must have domain specific knowledge about the instrument nature. The robot must be able to track the state of each instrument under its management. To this end we examine technical requirements of an instrument server. The second area of interest, and the one more unpredictable, is the problem of interaction between a human and a machine. In the past we have looked at the human speech as a medium of communication with the robot. Going beyond that we also examine the interaction that occurs at the haptic level. Here we would like to know what precisely could be conveyed to the robot and frmo the robot just by a touch? In microscope is undesirable and touch becomes a valuable means of communication.

Language’ role in enabling abstract, logical thought

2002 ◽  
Vol 25 (6) ◽  
pp. 688-688 ◽  
Author(s):  
James A. Hampton
Keyword(s):  
Cultural Development ◽  
The Other ◽  
Traditional Role ◽  
Specific Knowledge ◽  
Domain Specific ◽  
Other Hand ◽  
Abstract Knowledge ◽  
Domain Specific Knowledge ◽  
The One ◽  
General Abstract

Carruthers’ thesis is undermined on the one hand by examples of integration of output from domain-specific modules that are independent of language, and on the other hand by examples of linguistically represented thoughts that are unable to integrate different domain-specific knowledge into a coherent whole. I propose a more traditional role for language in thought as providing the basis for the cultural development and transmission of domain-general abstract knowledge and reasoning skills.

scholarly journals Entry Assessment of Student Learning Preconditions in Higher Education: Implications for the Transition from Secondary to Tertiary Education in Germany

2020 ◽  
Vol 28 (S1) ◽  
pp. S67-S84
Author(s):  
Olga Zlatkin-Troitschanskaia ◽  
Jasmin Schlax
Keyword(s):  
Higher Education ◽  
Tertiary Education ◽  
Bachelor's Degree ◽  
Evidence Based ◽  
Ministry Of Education ◽  
Specific Knowledge ◽  
Domain Specific ◽  
Domain Specific Knowledge ◽  
Assessment Of Student Learning ◽  
The One

The acquisition of domain-specific knowledge and interdisciplinary skills such as critical thinking is increasingly gaining significance as key learning outcomes in higher education that are crucial for all professionals and engaged citizens and that enable lifelong learning. Despite this socio-political consensus, up until the last decade there have only been a few evidence-based insights into the competencies of higher education students. Therefore, the Germany-wide research program Modelling and Measuring Competencies in Higher Education (KoKoHs) was established in 2011 by the Federal Ministry of Education and Research. In the 85 projects, theoretical-conceptual competence models and corresponding assessments were developed for selected large study domains (e.g. economics) to reliably measure the students’ competencies in different phases of higher education (entering, undergraduate, graduate). More than 100 technology-based assessments of both discipline-specific competencies and generic skills were validated across Germany at over 350 universities with over 75,000 students. This article presents findings from the Germany-wide entry diagnostics in the one KoKoHs project (WiWiKom II) with beginning students in business, economic and social sciences that provide evidence-based insights into students’ learning preconditions and their impact on domain-specific knowledge acquisition in bachelor’s degree courses. The results lead to far-reaching practical implications for successful transitions between secondary and tertiary education, including recommendations for the development of mechanisms to support access to tertiary education and to prevent high dropout rates.

‘I’m an expert in me and I know what I can cope with’: Patient expertise in rheumatoid arthritis

2014 ◽  
Vol 10 (3) ◽  
pp. 249-261 ◽  
Author(s):  
Tessa Sanderson ◽  
Jo Angouri
Keyword(s):  
Rheumatoid Arthritis ◽  
Meta Analysis ◽  
Healthcare Systems ◽  
Specific Knowledge ◽  
Active Involvement ◽  
Domain Specific ◽  
Access To Health ◽  
Patient Expertise ◽  
Domain Specific Knowledge ◽  
The Uk

The active involvement of patients in decision-making and the focus on patient expertise in managing chronic illness constitutes a priority in many healthcare systems including the NHS in the UK. With easier access to health information, patients are almost expected to be (or present self) as an ‘expert patient’ (Ziebland 2004). This paper draws on the meta-analysis of interview data collected for identifying treatment outcomes important to patients with rheumatoid arthritis (RA). Taking a discourse approach to identity, the discussion focuses on the resources used in the negotiation and co-construction of expert identities, including domain-specific knowledge, access to institutional resources, and ability to self-manage. The analysis shows that expertise is both projected (institutionally sanctioned) and claimed by the patient (self-defined). We close the paper by highlighting the limitations of our pilot study and suggest avenues for further research.

Domain-Specific Knowledge Systems in the Brain: The Animate-Inanimate Distinction

1998 ◽  
Vol 10 (1) ◽  
pp. 1-34 ◽  
Author(s):  
Alfonso Caramazza ◽  
Jennifer R. Shelton
Keyword(s):  
Knowledge Systems ◽  
Neural Mechanisms ◽  
Specific Knowledge ◽  
Knowledge Framework ◽  
Semantic Categories ◽  
Domain Specific ◽  
Domain Specific Knowledge ◽  
Cognitive Neuropsychological ◽  
The Brain ◽  
Selective Impairment

We claim that the animate and inanimate conceptual categories represent evolutionarily adapted domain-specific knowledge systems that are subserved by distinct neural mechanisms, thereby allowing for their selective impairment in conditions of brain damage. On this view, (some of) the category-specific deficits that have recently been reported in the cognitive neuropsychological literature—for example, the selective damage or sparing of knowledge about animals—are truly categorical effects. Here, we articulate and defend this thesis against the dominant, reductionist theory of category-specific deficits, which holds that the categorical nature of the deficits is the result of selective damage to noncategorically organized visual or functional semantic subsystems. On the latter view, the sensory/functional dimension provides the fundamental organizing principle of the semantic system. Since, according to the latter theory, sensory and functional properties are differentially important in determining the meaning of the members of different semantic categories, selective damage to the visual or the functional semantic subsystem will result in a category-like deficit. A review of the literature and the results of a new case of category-specific deficit will show that the domain-specific knowledge framework provides a better account of category-specific deficits than the sensory/functional dichotomy theory.

scholarly journals Toward Knowledge Management for Smart Manufacturing

2017 ◽  
Vol 17 (3) ◽  
Author(s):  
Shaw C. Feng ◽  
William Z. Bernstein ◽  
Thomas Hedberg ◽  
Allison Barnard Feeney
Keyword(s):  
Knowledge Management ◽  
Design Process ◽  
Process Planning ◽  
Smart Manufacturing ◽  
Specific Knowledge ◽  
Domain Specific ◽  
Domain Specific Knowledge ◽  
Knowledge Objects ◽  
Planning Production

The need for capturing knowledge in the digital form in design, process planning, production, and inspection has increasingly become an issue in manufacturing industries as the variety and complexity of product lifecycle applications increase. Both knowledge and data need to be well managed for quality assurance, lifecycle impact assessment, and design improvement. Some technical barriers exist today that inhibit industry from fully utilizing design, planning, processing, and inspection knowledge. The primary barrier is a lack of a well-accepted mechanism that enables users to integrate data and knowledge. This paper prescribes knowledge management to address a lack of mechanisms for integrating, sharing, and updating domain-specific knowledge in smart manufacturing (SM). Aspects of the knowledge constructs include conceptual design, detailed design, process planning, material property, production, and inspection. The main contribution of this paper is to provide a methodology on what knowledge manufacturing organizations access, update, and archive in the context of SM. The case study in this paper provides some example knowledge objects to enable SM.

scholarly journals Cross-Fertilizing Deep Web Analysis and Ontology Enrichment

2017 ◽  
Author(s):  
Marilena Oita ◽  
Antoine Amarilli ◽  
Pierre Senellart
Keyword(s):  
Domain Knowledge ◽  
Deep Web ◽  
Web Pages ◽  
Complete Understanding ◽  
Specific Knowledge ◽  
Domain Specific ◽  
Domain Specific Knowledge ◽  
Web Crawlers ◽  
New Perspective ◽  
The Impact

Deep Web databases, whose content is presented as dynamically-generated Web pages hidden behind forms, have mostly been left unindexed by search engine crawlers. In order to automatically explore this mass of information, many current techniques assume the existence of domain knowledge, which is costly to create and maintain. In this article, we present a new perspective on form understanding and deep Web data acquisition that does not require any domain-specific knowledge. Unlike previous approaches, we do not perform the various steps in the process (e.g., form understanding, record identification, attribute labeling) independently but integrate them to achieve a more complete understanding of deep Web sources. Through information extraction techniques and using the form itself for validation, we reconcile input and output schemas in a labeled graph which is further aligned with a generic ontology. The impact of this alignment is threefold: first, the resulting semantic infrastructure associated with the form can assist Web crawlers when probing the form for content indexing; second, attributes of response pages are labeled by matching known ontology instances, and relations between attributes are uncovered; and third, we enrich the generic ontology with facts from the deep Web.

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