Ontological Model for CDSS in Knee Injury Management

2013 ◽  
pp. 526-535 ◽  
Author(s):  
Kanitha Phalakornkule ◽  
Josette F. Jones ◽  
John T. Finnell
Keyword(s):  
Knee Injury ◽  
Injury Management ◽  
Ontological Model

Bilateral Floating Knee Injury—Management of a Complex Injury

2019 ◽  
Vol 29 (1) ◽  
pp. 1-6
Author(s):  
Alexandros P. Apostolopoulos ◽  
Stavros Angelis ◽  
Salma E. Elamin ◽  
Glenn Clewer
Keyword(s):  
Knee Injury ◽  
Injury Management ◽  
Complex Injury ◽  
Floating Knee Injury

Modeling Affordances and Functioning for Personalized Robotic Assistance

2020 ◽  
Author(s):  
Alessandro Umbrico ◽  
Gabriella Cortellessa ◽  
Andrea Orlandini ◽  
Amedeo Cesta
Keyword(s):  
Domain Knowledge ◽  
Experimental Tests ◽  
International Classification Of Functioning ◽  
Knowledge Representation And Reasoning ◽  
Health State ◽  
Knowledge Reasoning ◽  
Cognitive Assistance ◽  
Ontological Model ◽  
And Function

A key aspect of robotic assistants is their ability to contextualize their behavior according to different needs of assistive scenarios. This work presents an ontology-based knowledge representation and reasoning approach supporting the synthesis of personalized behavior of robotic assistants. It introduces an ontological model of health state and functioning of persons based on the International Classification of Functioning, Disability and Health. Moreover, it borrows the concepts of affordance and function from the literature of robotics and manufacturing and adapts them to robotic (physical and cognitive) assistance domain. Knowledge reasoning mechanisms are developed on top of the resulting ontological model to reason about stimulation capabilities of a robot and health state of a person in order to identify action opportunities and achieve personalized assistance. Experimental tests assess the performance of the proposed approach and its capability of dealing with different profiles and stimuli.

Ontological Model of Government Documents

2013 ◽  
Author(s):  
Tatiana Vashchilko
Keyword(s):  
Qualitative And Quantitative ◽  
Legal Documents ◽  
Government Documents ◽  
The Subject ◽  
Ontological Model ◽  
Investment Agreements ◽  
Extract Information

The paper develops an ontological model to extract information from government legal documents and facilitate the understanding of its content. In particular, international bilateral investment agreements between countries are the subject of analysis, which aims to quantify their semantic diversity. The paper argues it as an accurate approach to extract qualitative and quantitative information.Cette communication expose un modèle ontologique pour extraire de l’information à partir des documents juridiques du gouvernement et faciliter la compréhension du contenu. Plus particulièrement, les ententes internationales d’investissements bilatéraux entre pays ont fait l’objet d’une analyse, dans le but de quantifier la diversité sémantique. La communication conclut qu’il s’agit d’une approche exacte pour extraire de l’information qualitative et quantitative.

scholarly journals Cloud-Edge Collaboration-Based Knowledge Sharing Mechanism for Manufacturing Resources

2021 ◽  
Vol 11 (7) ◽  
pp. 3188
Author(s):  
Xixiang Wang ◽  
Jiafu Wan
Keyword(s):  
Knowledge Sharing ◽  
Comparative Experiment ◽  
Mixed Flow ◽  
Processing Technologies ◽  
Experiment Platform ◽  
Low Degree ◽  
Manufacturing Resources ◽  
Ontological Model ◽  
Manufacturing Environments ◽  
Similar Processing

The development of multi-variety, mixed-flow manufacturing environments is hampered by a low degree of automation in information and empirical parameters’ reuse among similar processing technologies. This paper proposes a mechanism for knowledge sharing between manufacturing resources that is based on cloud-edge collaboration. The manufacturing process knowledge is coded using an ontological model, based on which the manufacturing task is refined and decomposed to the lowest-granularity concepts, i.e., knowledge primitives. On this basis, the learning process between devices is realized by effectively screening, matching, and combining the existing knowledge primitives contained in the knowledge base deployed on the cloud and the edge. The proposed method’s effectiveness was verified through a comparative experiment contrasting manual configuration and knowledge sharing configuration on a multi-variety, small-batch manufacturing experiment platform.

scholarly journals What Does the Future Hold? Health-Related Quality of Life 3–12 Years Following a Youth Sport-Related Knee Injury

2021 ◽  
Vol 18 (13) ◽  
pp. 6877
Author(s):  
Christina Y. Le ◽  
Clodagh M. Toomey ◽  
Carolyn A. Emery ◽  
Jackie L. Whittaker
Keyword(s):  
Quality Of Life ◽  
Knee Injury ◽  
Youth Sport ◽  
Health Related Quality ◽  
Related Quality ◽  
Health Related ◽  
Knee Trauma ◽  
Strenuous Physical Activity ◽  
Eq Vas

Knee trauma can lead to poor health-related quality of life (HRQoL) and osteoarthritis. We aimed to assess HRQoL 3–12 years following youth sport-related knee injury considering HRQoL and osteoarthritis determinants. Generic (EQ-5D-5L index, EQ-VAS) and condition-specific (Knee injury and Osteoarthritis Outcome Score quality of life subscale, KOOS QOL) HRQoL were assessed in 124 individuals 3–12 years following youth sport-related knee injury and 129 uninjured controls of similar age, sex, and sport. Linear regression examined differences in HRQoL outcomes by injury group. Multivariable linear regression explored the influence of sex, time-since-injury, injury type, body mass index, knee muscle strength, Intermittent and Constant Osteoarthritis Pain (ICOAP) score, and Godin Leisure-Time Exercise Questionnaire (GLTEQ) moderate-to-strenuous physical activity. Participant median (range) age was 23 years (14–29) and 55% were female. Injury history was associated with poorer KOOS QOL (−8.41; 95%CI −10.76, −6.06) but not EQ-5D-5L (−0.0074; −0.0238, 0.0089) or EQ-VAS (−3.82; −8.77, 1.14). Injury history (−5.14; −6.90, −3.38), worse ICOAP score (−0.40; −0.45, −0.36), and anterior cruciate ligament tear (−1.41; −2.77, −0.06) contributed to poorer KOOS QOL. Worse ICOAP score contributed to poorer EQ-5D-5L (−0.0024; −0.0034, −0.0015) and higher GLTEQ moderate-to-strenuous physical activity to better EQ-VAS (0.10; 0.03, 0.17). Knee trauma is associated with poorer condition-specific but not generic HRQoL 3–12 years post-injury.

Pediatric neurotrauma in Kathmandu, Nepal: implications for injury management and control

2005 ◽  
Vol 22 (4) ◽  
pp. 352-362 ◽  
Author(s):  
Karim Mukhida ◽  
Mohan R. Sharma ◽  
Sushil K. Shilpakar
Keyword(s):  
Injury Management ◽  
And Control

scholarly journals An Investigation of Knee Injury Profiles among Iranian Elite Karatekas: Observations from a Cross-Sectional Study

2021 ◽  
Vol 18 (13) ◽  
pp. 6888
Author(s):  
Hamidreza Naserpour ◽  
Julien S. Baker ◽  
Amir Letafatkar ◽  
Giacomo Rossettini ◽  
Frédéric Dutheil
Keyword(s):  
Knee Injury ◽  
Cruciate Ligament ◽  
Knee Injuries ◽  
Cross Sectional Study ◽  
Lower Extremity Injury ◽  
Sectional Study ◽  
Positive Health ◽  
Sports Activity ◽  
Cross Sectional ◽  
National Team

Karate training, despite the many positive health benefits, carries a risk of injury for participants. The current cross-sectional study aimed to investigate knee injury profiles among Iranian elite karatekas. Participants who attended the national team qualifiers, which included 390 male Kumite karatekas (age 24 ± 3 years old and weight 63 ± 12 kg), participated in this study. Information on knee injuries (injury history, type of injury mechanisms, and effects of knee symptoms on the ability to perform daily activities and recreational activities) were obtained using the Knee Outcome Survey (KOS). Using Pearson’s correlation coefficient, the study examined the relationships between different variables, including KOS subscales and levels of self-reported knee joint function. Our findings indicated that 287 karatekas (73.6%) experienced knee injuries. The anterior cruciate ligament (ACL) rupture (6.9%), articular cartilage (5.4%), and meniscus damage (3.8%) were the main typology of injury. In addition, there were no differences in knee injuries between the non-dominant and dominant legs. Most injuries occurred during the preparatory period (n = 162, 50%), especially during training periods. The KOS subscales scores (Mean ± Sd) for activities of daily living (ADL) and sports activity (SAS) were, respectively, 89 ± 11 and 91 ± 9. The self-reported scores for both the ADL and SAS subscales were, respectively, 89 ± 11 and 90 ± 10. Pearson coefficients of ADL and SAS subscales with their self-reported score were r = 0.761 (p < 0.0001) and r = 0.782 and (p < 0.0001), respectively. The profile of knee injuries in the current investigation is similar to previous surveys that reported lower extremity injury patterns. The findings of this study could be adopted to inform practice aimed at planning interventions for the reduction and prevention of knee injuries among karatekas.

An Ontological Model for Scientific Miracle in the Holy Quran

2021 ◽  
Author(s):  
Sameha Abdullah Moogab ◽  
Ahmed Abdullah Al-Shalabi ◽  
Ibrahim Ahmed Al-baltah
Keyword(s):  
Holy Quran ◽  
The Holy Quran ◽  
Ontological Model
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