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Ugandan Youths` Perceptions of Relations with China
( Simon Shen ),( Ian Taylor ) 경남대학교 극동문제연구소 2012 ASIAN PERSPECTIVE Vol.36 No.4
Despite endeavoring to construct an image as a contributor to a "harmonious world," China faces criticism for bringing neocolonialism back to Africa. This case study of Uganda offers a quantitative and qualitative basis for examining how young Ugandans understand and interpret "China" and "the Chinese." It also suggests how these perceptions could be applied to Sino-African relations in general and the Beijing-Kampala relationship in particular
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Predicting Surgery Targets in Temporal Lobe Epilepsy through Structural Connectome Based Simulations
Hutchings, Frances,Han, Cheol E.,Keller, Simon S.,Weber, Bernd,Taylor, Peter N.,Kaiser, Marcus Public Library of Science 2015 PLoS computational biology Vol.11 No.12
<▼1><P>Temporal lobe epilepsy (TLE) is a prevalent neurological disorder resulting in disruptive seizures. In the case of drug resistant epilepsy resective surgery is often considered. This is a procedure hampered by unpredictable success rates, with many patients continuing to have seizures even after surgery. In this study we apply a computational model of epilepsy to patient specific structural connectivity derived from diffusion tensor imaging (DTI) of 22 individuals with left TLE and 39 healthy controls. We validate the model by examining patient-control differences in simulated seizure onset time and network location. We then investigate the potential of the model for surgery prediction by performing <I>in silico</I> surgical resections, removing nodes from patient networks and comparing seizure likelihood post-surgery to pre-surgery simulations. We find that, first, patients tend to transit from non-epileptic to epileptic states more often than controls in the model. Second, regions in the left hemisphere (particularly within temporal and subcortical regions) that are known to be involved in TLE are the most frequent starting points for seizures in patients in the model. In addition, our analysis also implicates regions in the contralateral and frontal locations which may play a role in seizure spreading or surgery resistance. Finally, the model predicts that patient-specific surgery (resection areas chosen on an individual, model-prompted, basis and not following a predefined procedure) may lead to better outcomes than the currently used routine clinical procedure. Taken together this work provides a first step towards patient specific computational modelling of epilepsy surgery in order to inform treatment strategies in individuals.</P></▼1><▼2><P><B>Author Summary</B></P><P>Temporal lobe epilepsy (TLE) is a disorder characterised by unpredictable seizures, where surgical removal of brain tissue is often the final treatment option. In roughly 30% of cases surgery procedures are unsuccessful at preventing future seizures. This paper shows the application of a computational model which uses patient derived brain connectivity to predict the success rates of surgery in people with TLE. We consider the brains of 22 patients as networks, with brain regions as nodes and the white matter connections between them as edges. The brain network is unique to each subject and produced from brain imaging scans of 22 patients and 39 controls. Seizures are simulated before and after surgery, where surgery in the model is the removal of nodes from the network. The model successfully identifies regions known to be involved in TLE, and its predicted success rates for surgery are close to the results found in reality. The model additionally provides patient specific recommendations for surgical procedures, which in simulations show improved results compared to standard surgery in every case. This is a first step towards designing personalised surgery procedures in order to improve surgery success rates.</P></▼2>
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The use of mobile computing devices in microsurgery
Pafitanis, Georgios,Hadjiandreou, Michalis,Miller, Robert,Mason, Katrina,Theodorakopoulou, Evgenia,Sadri, Amir,Taylor, Kirsten,Myers, Simon Korean Society of Plastic and Reconstructive Surge 2019 Archives of Plastic Surgery Vol.46 No.2
Mobile computing devices (MCDs), such as smartphones and tablets, are revolutionizing medical practice. These devices are almost universally available and offer a multitude of capabilities, including online features, streaming capabilities, high-quality cameras, and numerous applications. Within the surgical field, MCDs are increasingly being used for simulations. Microsurgery is an expanding field of surgery that presents unique challenges to both trainees and trainers. Simulation-based training and assessment in microsurgery currently play an integral role in the preparation of trainee surgeons in a safe and informative environment. MCDs address these challenges in a novel way by providing valuable adjuncts to microsurgical training, assessment, and clinical practice through low-cost, effective, and widely accessible solutions. Herein, we present a review of the capabilities, accessibility, and relevance of MCDs for technical skills acquisition, training, and clinical microsurgery practice, and consider the possibility of their wider use in the future of microsurgical training and education.
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The use of mobile computing devices in microsurgery
Georgios Pafitanis,Michalis Hadjiandreou,Robert Miller,Katrina Mason,Evgenia Theodorakopoulou,Amir Sadri,Kirsten Taylor,Simon Myers 대한성형외과학회 2019 Archives of Plastic Surgery Vol.46 No.2
Mobile computing devices (MCDs), such as smartphones and tablets, are revolutionizing medical practice. These devices are almost universally available and offer a multitude of capabilities, including online features, streaming capabilities, high-quality cameras, and numerous applications. Within the surgical field, MCDs are increasingly being used for simulations. Microsurgery is an expanding field of surgery that presents unique challenges to both trainees and trainers. Simulation-based training and assessment in microsurgery currently play an integral role in the preparation of trainee surgeons in a safe and informative environment. MCDs address these challenges in a novel way by providing valuable adjuncts to microsurgical training, assessment, and clinical practice through low-cost, effective, and widely accessible solutions. Herein, we present a review of the capabilities, accessibility, and relevance of MCDs for technical skills acquisition, training, and clinical microsurgery practice, and consider the possibility of their wider use in the future of microsurgical training and education.
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