Tratamiento médico de los hemangiomas

There are two clearly differentiated attitudes in the treatment of haemangiomas: the expectant attitude and the therapeutic, medical or surgical attitude. The expectant attitude can be appropriate in cases of small haemangiomas, far from areas of possible functional damage, and with a slow rate of growth; however, it must be remembered that after reaching their maximum involution, about 25% of haemangiomas show a significant deformity. Treatment should be applied to those haemangiomas that obstruct the visual axis, the airway, the auditory channel, (with alteration of functions such as vision, breathing, swallowing and urinary or intestinal functions); to those of rapid growth that produce or might produce tissue destruction or significant disfiguration, ulcerated lesions, and lesions with a great cutaneous extension or visceral affection, which can lead to congestive cardiac insufficiency, or haematological alterations. The recommended treatment is systemic corticosteroids, with an initial dose of 2 to 3 mg/kg/day of prednisone or prednisolone, administered once a day in the morning. The most frequent result is that growth is arrested, while a reduction in size is observed in less than half the cases. Intralesional administration of corticosteroids at intervals of between 4 and 8 weeks is an effective treatment that manages to avoid the adverse effects of systemic corticosteroids. Because of its adverse neurological effects, interferon is only recommended for lesions with a vital or severe functional risk that do not respond to corticosteroids. Cytotoxic drugs are another treatment group: intralesional bleomycin, vincristine, cyclophosphamide and pingiangmycin

Critical boron-doping levels for generation of dislocations in synthetic diamond

Defects induced by boron doping in diamond layers were studied by transmission electron microscopy. The existence of a critical boron doping level above which defects are generated is reported. This level is found to be dependent on the CH4 /H2 molar ratios and on growth directions. The critical boron concentration lied in the 6.5–17.0 X 10 20 at/cm3 range in the direction and at 3.2 X 1021 at/cm 3 for the one. Strain related effects induced by the doping are shown not to be responsible. From the location of dislocations and their Burger vectors, a model is proposed, together with their generation mechanism.6 page

Multiple Kernel Driven Clustering With Locally Consistent and Selfish Graph in Industrial IoT

[EN] In the cognitive computing of intelligent industrial Internet of Things, clustering is a fundamental machine learning problem to exploit the latent data relationships. To overcome the challenge of kernel choice for nonlinear clustering tasks, multiple kernel clustering (MKC) has attracted intensive attention. However, existing graph-based MKC methods mainly aim to learn a consensus kernel as well as an affinity graph from multiple candidate kernels, which cannot fully exploit the latent graph information. In this article, we propose a novel pure graph-based MKC method. Specifically, a new graph model is proposed to preserve the local manifold structure of the data in kernel space so as to learn multiple candidate graphs. Afterward, the latent consistency and selfishness of these candidate graphs are fully considered. Furthermore, a graph connectivity constraint is introduced to avoid requiring any postprocessing clustering step. Comprehensive experimental results demonstrate the superiority of our method.This work was supported in part by Sichuan Science and Technology Program under Grant 2020ZDZX0014 and Grant 2019ZDZX0119 and in part by the Key Lab of Film and TV Media Technology of Zhejiang Province under Grant 2020E10015.Ren, Z.; Mukherjee, M.; Lloret, J.; Venu, P. (2021). Multiple Kernel Driven Clustering With Locally Consistent and Selfish Graph in Industrial IoT. IEEE Transactions on Industrial Informatics. 17(4):2956-2963. https://doi.org/10.1109/TII.2020.3010357S2956296317

Anomaly Detection in UASN Localization Based on Time Series Analysis and Fuzzy Logic

[EN] Underwater acoustic sensor network (UASN) offers a promising solution for exploring underwater resources remotely. For getting a better understanding of sensed data, accurate localization is essential. As the UASN acoustic channel is open and the environment is hostile, the risk of malicious activities is very high, particularly in time-critical military applications. Since the location estimation with false data ends up in wrong positioning, it is necessary to identify and ignore such data to ensure data integrity. Therefore, in this paper, we propose a novel anomaly detection system for UASN localization. To minimize computational power and storage, we designed separate anomaly detection schemes for sensor nodes and anchor nodes. We propose an auto-regressive prediction-based scheme for detecting anomalies at sensor nodes. For anchor nodes, a fuzzy inference system is designed to identify the presence of anomalous behavior. The detection schemes are implemented at every node for enabling identification of multiple and duplicate anomalies at its origin. We simulated the network, modeled anomalies and analyzed the performance of detection schemes at anchor nodes and sensor nodes. The results indicate that anomaly detection systems offer an acceptable accuracy with high true positive rate and F-Score.Das, AP.; Thampi, SM.; Lloret, J. (2020). Anomaly Detection in UASN Localization Based on Time Series Analysis and Fuzzy Logic. Mobile Networks and Applications (Online). 25(1):55-67. https://doi.org/10.1007/s11036-018-1192-y556725

Porphyria cutanea tarda, dermatomyositis and non-Hodgkin lymphoma in virus C infection

Virus C infection has been associated with a broad spectrum of extrahepatic diseases such as essential mixed cryoglobulinemia, membranous glomerulonephritis, vasculitis, rheumatoid arthritis and lupus erythematosus. The etiologic role of virus C has also been observed in some neoplasms such as non-Hodgkin’s lymphoma and the monoclonal gammapathies. Many studies also support the link between this virus and porphyria cutanea tarda (PCT). Isolated cases suggest a relationship with dermatomyositis. Herein, we report the coexistence of PCT, non-Hodgkin’s lymphoma and dermatomyositis in the same patient affected with virus C infection which has never previously been described

Systemic lupus erythematosus-associated anetoderma and anti-phospholipid antibodies

Anetoderma is characterized by a loss of normal elastic tissue that presents clinically as localized areas of wrinkled or flaccid skin. We describe the case of a 30-year-old woman with systemic lupus erythematosus-associated anetoderma and positive anti-phospholipid antibodies. We discuss the possible role of these antibodies in the pathogenesis of anetoderma, and, when detected, the need to check for an associated anti-phospholipid syndrome in such patients

The Cytocompatibility of Silver Diamine Fluoride on Mesenchymal Stromal Cells from Human Exfoliated Deciduous Teeth : An In Vitro Study

Silver diamine fluoride (SDF) has been used for many years for the treatment of caries, and minimally invasive dentistry concepts have made it popular again. The fact that its application does not require the administration of anesthesia makes its use in children more desirable. The aim of this study was to determine the cytotoxicity of two new commercial SDF products: Riva Star (SDI Dental Limited) and e-SDF (Kids-e-Dental) on mesenchymal stromal cells from human exfoliated deciduous teeth (SHEDs). SHEDs were exposed to SDF products at different concentrations (0.1%, 0.01% and 0.005%). Then different assays were performed to evaluate their cytocompatibility on SHEDs: IC50, MTT, cell migration (wound healing), cell cytoskeleton staining, cell apoptosis, generation of intracellular reactive oxygen species (ROS), and ion chromatography. Statistical analyses were performed using one-way ANOVA and Tukey's post hoc test (p < 0.05). Riva Star Step 2 showed the same cell metabolic activity when compared to the control condition at any time and concentration. Meanwhile, e-SDF displayed high cytotoxicity at any time and any concentration (*** p < 0.001), whereas Riva Star Step 1 displayed high cytotoxicity at any time at 0.1% and 0.01% (*** p < 0.001). Only e-SDF showed a statistically significant decreased cell migration rate (*** p < 0.001) at all times and in all concentrations. At 0.1%, e-SDF and Riva Star Step 1 only showed 4.37% and 4.47% of viable cells, respectively. These results suggest that Riva Star has better in vitro cytocompatibility on SHEDs than does e-SDF. Riva Star Step 1 was found to be as cytotoxic as e-SDF, but it had better biological properties when mixed with Riva Star Step 2. Our findings suggest that Riva Star is more suitable when used in deciduous teeth due to its lower cytotoxicity compared to e-SDF

Long Short-Term Memory and Fuzzy Logic for Anomaly Detection and Mitigation in Software-Defined Network Environment

[EN] Computer networks become complex and dynamic structures. As a result of this fact, the configuration and the managing of this whole structure is a challenging activity. Software-Defined Networks(SDN) is a new network paradigm that, through an abstraction of network plans, seeks to separate the control plane and data plane, and tends as an objective to overcome the limitations in terms of network infrastructure configuration. As in the traditional network environment, the SDN environment is also liable to security vulnerabilities. This work presents a system of detection and mitigation of Distributed Denial of Service (DDoS) attacks and Portscan attacks in SDN environments (LSTM-FUZZY). The LSTM-FUZZY system presented in this work has three distinct phases: characterization, anomaly detection, and mitigation. The system was tested in two scenarios. In the first scenario, we applied IP flows collected from the SDN Floodlight controllers through emulation on Mininet. On the other hand, in the second scenario, the CICDDoS 2019 dataset was applied. The results gained show that the efficiency of the system to assist in network management, detect and mitigate the occurrence of the attacks.This work was supported in part by the National Council for Scientific and Technological Development (CNPq) of Brazil under Project 310668/2019-0, in part by the SETI/Fundacao Araucaria due to the concession of scholarships, and in part by the Ministerio de Economia y Competitividad through the Programa Estatal de Fomento de la Investigacion Cientifica y Tecnica de Excelencia, Subprograma Estatal de Generacion de Conocimiento, under Grant TIN2017-84802-C2-1-P.Novaes, MP.; Carvalho, LF.; Lloret, J.; Lemes Proença, M. (2020). Long Short-Term Memory and Fuzzy Logic for Anomaly Detection and Mitigation in Software-Defined Network Environment. IEEE Access. 8(1):83765-83781. https://doi.org/10.1109/ACCESS.2020.2992044S83765837818