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Fonseca, Joao Gari da Silva Junior,Ohtake, Hideaki,Oozeki, Takashi,Ogimoto, Kazuhiko The Korean Institute of Electrical Engineers 2018 Journal of Electrical Engineering & Technology Vol.13 No.4
The objective of this study is to compare the suitability of a non-parametric and 3 parametric distributions in the characterization of prediction intervals of photovoltaic power forecasts with high confidence levels. The prediction intervals of the forecasts are calculated using a method based on recent past data similar to the target forecast input data, and on a distribution assumption for the forecast error. To compare the suitability of the distributions, prediction intervals were calculated using the proposed method and each of the 4 distributions. The calculations were done for one year of day-ahead forecasts of hourly power generation of 432 PV systems. The systems have different sizes and specifications, and are installed in different locations in Japan. The results show that, in general, the non-parametric distribution assumption for the forecast error yielded the best prediction intervals. For example, with a confidence level of 85% the use of the non-parametric distribution assumption yielded a median annual forecast error coverage of 86.9%. This result was close to the one obtained with the Laplacian distribution assumption (87.8% of coverage for the same confidence level). Contrasting with that, using a Gaussian and Hyperbolic distributions yielded median annual forecast error coverage of 89.5% and 90.5%.
Fonseca, Alexandre F.,Zhang, Hengji,Cho, Kyeongjae Elsevier 2015 Carbon Vol.84 No.-
<P><B>Abstract</B></P> <P> <I>Ab initio</I> predictions for the stability of different graphene oxide (GO) structures have been shown to conflict with experimental observations. While <I>ab initio</I> studies predict that the most stable GOs are fully oxygen-covered (either with epoxide or hydroxyl), stable as-produced GOs are partially oxygen-covered and predominantly epoxide-covered structures. Although this discrepancy is being examined in terms of calculations of free energies of GOs and large diffusion energy-barriers for oxygen groups on graphene, there is still a lack of understanding on the energetic properties of GOs using classical molecular dynamics, which is able to investigate their structural distortion. Here, using the reactive empirical bond order (REBO) molecular dynamics potential, we compute the free energy and binding energy of GOs at different oxygen concentrations and epoxide to hydroxyl ratios, as well as the distortion energies of graphene lattice. Although epoxide causes more distortion on the carbon hexagonal planar structure, it provides more stability to the GO structure. The difference between free energy and binding energy of GOs is shown to be independent of oxygen coverage. These results allow gaining more insight on the issue of GO stability and show that REBO can capture most of experimental properties of GOs.</P>
Fonseca, Vitor Jose,Chaves, Roberta Rayra Martins,Campos, Felipe Eduardo Baires,Lehman, Luiz Felipe,Moraes, Gustavo Meyer,Castro, Wagner Henriques Korean Academy of Oral and Maxillofacial Radiology 2018 Imaging Science in Dentistry Vol.48 No.4
This report presents a clinical case of trauma due to assault with a knife, and describes the importance of using the correct imaging modality in cases of facial penetrating trauma involving the superficial and deep anatomical planes. Penetrating wounds in the maxillofacial region are rare and poorly reported, but can result in serious complications that are difficult to resolve and may compromise the patient's quality of life, especially when large blood vessels or other vital structures are involved. Thus, it is essential to determine the extent of the affected blood vessels and the proximity of the retained object to the anatomical structures. In this case, digital subtraction angiography was the imaging modality chosen. The use of appropriate imaging examinations allows a proper map of the surgical field, reducing the chances of vascular damage during the surgical procedure.
Fonseca Junior, Joao Gari da Silva,Oozeki, Takashi,Ohtake, Hideaki,Takashima, Takumi,Kazuhiko, Ogimoto The Korean Institute of Electrical Engineers 2015 Journal of Electrical Engineering & Technology Vol.10 No.3
The objective of this study is to propose a method to calculate prediction intervals for one-day-ahead hourly forecasts of photovoltaic power generation and to evaluate its performance. One year of data of two systems, representing contrasting examples of forecast’ accuracy, were used. The method is based on the maximum likelihood estimation, the similarity between the input data of future and past forecasts of photovoltaic power, and on an assumption about the distribution of the error of the forecasts. Two assumptions for the forecast error distribution were evaluated, a Laplacian and a Gaussian distribution assumption. The results show that the proposed method models well the photovoltaic power forecast error when the Laplacian distribution is used. For both systems and intervals calculated with 4 confidence levels, the intervals contained the true photovoltaic power generation in the amount near to the expected one.
Impact of Puberty in Pediatric Migraine: A Pilot Prospective Study
Elena Fonseca,Marta Torres-Ferrús,Víctor José Gallardo,Alfons Macaya,Patricia Pozo-Rosich 대한신경과학회 2020 Journal of Clinical Neurology Vol.16 No.3
Background and Purpose The short-term evolution of pediatric migraine remains unclear. We aimed to describe the evolution of migraine before and after puberty and its relationship with lifestyle habits. Methods We prospectively selected prepuberal patients from a neuropediatric unit who had a migraine diagnosis. Their medical history, migraine characteristics and impact, and lifestyle habits were recorded at the baseline visit. After 2 years we performed a telephone follow-up assessment. Results Nineteen patients were recruited (age 10.2±2.9 years, mean±SD; 57.9% female), of whom 27.5% had migraine with aura. The accompanying symptoms had changed at the follow- up, with significantly higher prevalence rates of dizziness (44.4% vs. 88.9%), vertigo (11.1% vs. 66.7%), mood changes (38.9% vs 83.3%), confusion (5.6% vs. 77.8%), and allodynia (27.8% vs. 61.1%). Sleep disturbances (5.6% vs. 38.9%) and schedule changes (0% vs. 38.9%) increased significantly as triggers. Prodromal symptoms became more prevalent (16.7% vs. 50%), with a higher proportion of sleep disturbances reported (50.0% vs. 87.5%). Conclusions Prodromal symptoms increase in pediatric migraine after 2 years, and some trigger factors for migraine become more prevalent, including sleep disturbances. New accompanying symptoms are also identified. These changes provide information about how migraine changes during puberty along with physical and lifestyle changes, and represent a dynamic physiopathological process that deserves more research