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- 저자 : Dimits, A.M. (검색결과 5 건)
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Xu, X.Q.,Belli, E.,Bodi, K.,Candy, J.,Chang, C.S.,Cohen, R.H.,Colella, P.,Dimits, A.M.,Dorr, M.R.,Gao, Z.,Hittinger, J.A.,Ko, S.,Krasheninnikov, S.,McKee, G.R.,Nevins, W.M.,Rognlien, T.D.,Snyder, P.B. International Atomic Energy Agency 2009 Nuclear fusion Vol.49 No.6
<P>We present edge gyrokinetic simulations of tokamak plasmas using the fully non-linear (full-<I>f</I>) continuum code TEMPEST. A non-linear Boltzmann model is used for the electrons. The electric field is obtained by solving the 2D gyrokinetic Poisson equation. We demonstrate the following. (1) High harmonic resonances (<I>n</I> > 2) significantly enhance geodesic-acoustic mode (GAM) damping at high <I>q</I> (tokamak safety factor), and are necessary to explain the damping observed in our TEMPEST <I>q</I>-scans and consistent with the experimental measurements of the scaling of the GAM amplitude with edge <I>q</I><SUB>95</SUB> in the absence of obvious evidence that there is a strong <I>q</I>-dependence of the turbulent drive and damping of the GAM. (2) The kinetic GAM exists in the edge for steep density and temperature gradients in the form of outgoing waves, its radial scale is set by the ion temperature profile, and ion temperature inhomogeneity is necessary for GAM radial propagation. (3) The development of the neoclassical electric field evolves through different phases of relaxation, including GAMs, their radial propagation and their long-time collisional decay. (4) Natural consequences of orbits in the pedestal and scrape-off layer region in divertor geometry are substantial non-Maxwellian ion distributions and parallel flow characteristics qualitatively like those observed in experiments.</P>
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DIMITER ALEXANDROV,GLORIA HANG YU 성균관대학교(자연과학캠퍼스) 성균나노과학기술원 2008 NANO Vol.3 No.5
Theoretical investigation of the interaction between positive hydrogen ions and electrons located in wurtzite InN containing oxygen impurity atoms is presented in this paper. The interaction is investigated on the basis of the energy pockets for both the electrons and the holes having places in the structure of InN containing oxygen atoms. These energy pockets are found on the basis of the electron band structure of wurtzite InN containing oxygen impurity atoms. A model of the system located electron–positive hydrogen ion is created. It is called the "inversed" hydrogen model, because the electron is fixed in the pocket, and the positive hydrogen ion can change its position (this ion can either be on the surface of InN or belong to a neighboring quasi-elementary cell). The Schrödinger equation for the "inversed" hydrogen model of the electron–hydrogen ion system is determined. The binding energy and the hydrogen-like energy levels of the electron–positive system hydrogen ion system are found.
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Medical Internet of Things and Big Data in Healthcare
Dimiter V. Dimitrov 대한의료정보학회 2016 Healthcare Informatics Research Vol.22 No.3
Objectives: A number of technologies can reduce overall costs for the prevention or management of chronic illnesses. These include devices that constantly monitor health indicators, devices that auto-administer therapies, or devices that track realtime health data when a patient self-administers a therapy. Because they have increased access to high-speed Internet and smartphones, many patients have started to use mobile applications (apps) to manage various health needs. These devices and mobile apps are now increasingly used and integrated with telemedicine and telehealth via the medical Internet of Things (mIoT). This paper reviews mIoT and big data in healthcare fields. Methods: mIoT is a critical piece of the digital transformation of healthcare, as it allows new business models to emerge and enables changes in work processes, productivity improvements, cost containment and enhanced customer experiences. Results: Wearables and mobile apps today support fitness, health education, symptom tracking, and collaborative disease management and care coordination. All those platform analytics can raise the relevancy of data interpretations, reducing the amount of time that end users spend piecing together data outputs. Insights gained from big data analysis will drive the digital disruption of the healthcare world, business processes and real-time decision-making. Conclusions: A new category of “personalised preventative health coaches” (Digital Health Advisors) will emerge. These workers will possess the skills and the ability to interpret and understand health and well-being data. They will help their clients avoid chronic and diet-related illness, improve cognitive function, achieve improved mental health and achieve improved lifestyles overall. As the global population ages, such roles will become increasingly important.
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Blockchain Applications for Healthcare Data Management
Dimiter V. Dimitrov 대한의료정보학회 2019 Healthcare Informatics Research Vol.25 No.1
Objectives: This pilot study aimed to provide an overview of the potential for blockchain technology in the healthcare system. The review covers technological topics from storing medical records in blockchains through patient personal data ownership and mobile apps for patient outreach. Methods: We performed a preliminary survey to fill the gap that exists between purely technically focused manuscripts about blockchains, on the one hand, and the literature that is mostly concerned with marketing discussions about their expected economic impact on the other hand. Results: The findings show that new digital platforms based on blockchains are emerging to enabling fast, simple, and seamless interaction between data providers, including patients themselves. Conclusions: We provide a conceptual understanding of the technical foundations of the potential for blockchain technology in healthcare, which is necessary to understand specific blockchain applications, evaluate business cases such as blockchain startups, or follow the discussion about its expected economic impacts.
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