Ucrania a la espera de las elecciones del 26 de diciembre

Después de una crisis política, movilizaciones callejeras y negociaciones a puerta cerrada, Ucrania está a la espera de nuevas elecciones el 26 de diciembre. Los pronósticos apuntan a una victoria del candidato de la oposición, Víctor Yúshenko, cuya campaña ha sido reforzada por las recientes confirmaciones de su envenenamiento. Mientras tanto, se siguen planteando interrogantes sobre el papel que pueda jugar la “revolución naranja” con respecto al nuevo orden de las relaciones entre las fuerzas políticas y los intereses económicos, tanto dentro del país como fuera de las fronteras de Ucrania. Gracias a la decisión del Tribunal Supremo de Ucrania del 3 de diciembre y al voto parlamentario del 8 de diciembre ha sido posible la resolución de la crisis política en Ucrania. Se aprobó la enmienda constitucional abogada por el presidente saliente Leonid Kuchma, que transfiere ciertos poderes presidenciales al Parlamento nacional. A su vez, la oposición ha conseguido el importante cambio de la ley electoral que puede hacer posible la victoria de Yúshenko. Mientras tanto, Víctor Yanukovych parece haber perdido relevancia política a nivel nacional, por lo menos hasta que se celebre la tercera vuelta. Yúshenko ha declarado el fin de las movilizaciones callejeras y tendrá que pasar el resto de su campaña electoral negociando tanto con sus adversarios políticos como con los miembros más radicales de la oposición. Al mismo tiempo, para los medios de comunicación internacionales, la cara desfigurada del líder de la oposición y la nueva etapa en las relaciones entre Rusia y Occidente a que ha dado lugar las elecciones ucranianas parecen más importantes que la cuestión de un verdadero cambio político en Ucrania

El nuevo presidente + el nuevo Gobierno en Ucrania = ¿una nueva Ucrania?

Los problemas que el nuevo presidente y el nuevo Gobierno de Ucrania tienen que afrontar son difíciles y de solución a largo plazo. El futuro de una nueva Ucrania depende en mayor medida de la profundidad de los cambios internos que de la reforma de la política exterior. Después de la victoria de Víctor Yúshenko en las elecciones presidenciales en Ucrania, tras observar las escenas de protestas callejeras y sentir el entusiasmo popular en cuanto al futuro del país, es comprensible que las expectativas investidas en el nuevo Gobierno de Yulia Tymoshenko sean tan altas. Sin ninguna intención de minusvalorar la importancia histórica de los cambios políticos en Ucrania, el presente artículo sugiere que para convalidar el título de revolución el Gobierno tendrá que cumplir sus promesas electorales. Por otro lado, a la hora de analizar la situación en Ucrania es necesario tener una idea clara de la distribución de los diferentes intereses dentro del ámbito nacional y abstenerse de buscar paralelismos donde no los hay. Las elecciones en Ucrania y las elecciones en Irak son dos acontecimientos distintos en países que poco tienen en común

Group-Level Emotion Recognition Using a Unimodal Privacy-Safe Non-Individual Approach

International audienceThis article presents our unimodal privacy-safe and non-individual proposal for the audio-video group emotion recognition subtask at the Emotion Recognition in the Wild (EmotiW) Challenge 2020 1. This sub challenge aims to classify in the wild videos into three categories: Positive, Neutral and Negative. Recent deep learning models have shown tremendous advances in analyzing interactions between people, predicting human behavior and affective evaluation. Nonetheless, their performance comes from individual-based analysis, which means summing up and averaging scores from individual detections, which inevitably leads to some privacy issues. In this research, we investigated a frugal approach towards a model able to capture the global moods from the whole image without using face or pose detection, or any individual-based feature as input. The proposed methodology mixes state-of-the-art and dedicated synthetic corpora as training sources. With an in-depth exploration of neural network architectures for group-level emotion recognition, we built a VGG-based model achieving 59.13% accuracy on the VGAF test set (eleventh place of the challenge). Given that the analysis is unimodal based only on global features and that the performance is evaluated on a real-world dataset, these results are promising and let us envision extending this model to multimodality for classroom ambiance evaluation, our final target application

ФОРМИРОВАНИЕ ЧЕЛОВЕЧЕСКОГО КАПИТАЛА ЗА СЧЕТ ПОВЫШЕНИЯ УРОВНЯ ЖИЗНИ НАСЕЛЕНИЯ НА ПРИМЕРЕ ЧУВАШСКОЙ РЕСПУБЛИКИ

Today the human capital is one of important and specific factors forming high and stable development both a particular region and entire country. Its qualitative formation depends on the impact of different factors, one of which is a society standard of living. Wanting intelligent and significant investments in people the government is unable to establish a high-efficient development of the economy.На сегодняшний день человеческий капитал является одним из важнейших, но и довольно специфических факторов, формирующим высокое и стабильное развитие как отдельного региона, так и страны в целом. Его качественное формирование в свою очередь зависит от воздействия множества различных факторов, одним из которых является уровень жизни населения. Без грамотных и значительных вложений в свой народ, государство не в состоянии выстроить высокоэффективное развитие всей своей экономики

From Ise to the World in a Time of Pandemic

A collection of essays on COVID-19 by scholars from around the world who shared a common experience in Japan in the early stages of the pandemic, and then communicated from their respective countries as the disease spread around the world. Written in multiple styles and with diverse perspectives, these essays provide insight into the similarities and differences, and the equalizing and dis-equalizing aspects of the world’s response to the pandemic

Chronic Triple Infection with Hepatitis B, C, and D Viruses in the Republic of Sakha (Yakutia)

The purpose of this work was to study the features of the clinical course of mixed infections with hepatitis B+C+D viruses in the Republic of Sakha (Yakutia) (RS(Y)). Materials and Methods: The incidences of these infections were studied in the infectious disease department of the Yakutsk City Clinical Hospital. A total of 74 patients with chronic infection with hepatitis B, C, and D viruses were analyzed. The following markers of HBV (HBsAg, HBeAg, anti-HBcIgG, HBV DNA), HCV (anti-HCV) and HDV (anti-HDV, HDV RNA) were detected. According to PCR (n=35), HCV-RNA was detected in 29(82.8%) patients. In 65.8% of cases, HCV-RNA replication was observed in the absence of HDV-DNA. Mono-replication of HBV (HBV-DNA+, HCV-RNA-) was detected in 17.1% patients, mono-replication of HCV (HBV-DNA-, HCV-RNA+) in 65.7% patients and mixed replication of viruses C, D and/or G (HBV-DNA-, HCV-RNA+, HDV-RNA+/HGV-RNA+) in 17.1% patients. Results: The comparison of biochemical parameters of patients with chronic mixed hepatitis showed that more expressed changes are observed with the mixed replication than with the mono-replicative form of hepatitis

Influence of the Wavelength of Excitation and Fluorescence Emission Detection on the Estimation of Fluorescence-Based Physiological Parameters in Different Classes of Photosynthetic Organisms

Fluorescence-based methodologies are commonly employed to determine a wide spectrum of physiological parameters in intact photosynthetic organisms. These methods rely on the detection of Chlorophyll a fluorescent emission, which exhibits changes in its intensity due to the occurrence of quenching phenomena of either photochemical or non-photochemical nature, as well as in response of the absorption cross-section of the photosystems. At room temperature, it is generally considered that most of the emission stems from Photosystem II, and therefore, most of the physiological parameters rely on the assumption that contribution from Photosystem I is negligible. Moreover, it is often considered that the whole light-harvesting antenna is efficiently coupled to either of the photosystems and does not contribute, independently, to the detected emission. When these caveats are not realised, fluorescence-based indicators might be subjected to biases that tend to underestimate the extent of both photochemical and non-photochemical quenching. The contribution of Photosystem I and partially coupled/antenna components can be assessed through the analysis of the dependency of steady-state emission as a function of both the excitation and the emission wavelengths. On this basis, methods relying on using different combinations of excitation and emission wavelengths will be discussed in order to minimise the bias on the estimation of physiologically relevant parameters

Influence of anionic surfactant on stability of nanoparticles in aqueous solutions

Dispersion and aggregation of nanoparticles in aqueous solutions are important factors for safe and effective application of nanoparticles, for instance, in the oil industry. As conventional oil reserves are depleted, it is necessary to advance chemical enhanced oil recovery (cEOR) techniques to develop unconventional oil reservoirs. Nanoparticles modified by surfactants can be a promising reagent in cEOR. These nanomaterials can reduce interfacial tension and change the wettability of reservoir rock, which leads to an increase in oil recovery. However, the application of nanoparticles is limited by their substantial aggregation in aqueous solutions. The purpose of this work is to select nanoparticles for obtaining stable sols in water in the presence of an anionic surfactant and to optimize the conditions (pH) for further modifying the nanoparticles with the anionic surfactant. Sodium dodecyl sulfate (SDS) is used as an anionic surfactant. The aggregation of oxide and carbon nanoparticles in water and anionic surfactant solutions was studied by laser diffraction, dynamic and electrophoretic light scattering methods. Most of the studied nanoparticles in water form aggregates with bi-, three- and polymodal particle size distributions. TiO2 nanoparticles obtained by plasma dynamic synthesis form the most stable sols in anionic surfactant solutions. The range of 5–7 pH is defined as optimal for their modification with surfactants. The stability of carbon nanoparticles in aqueous solutions increases significantly in the presence of a surfactant. The obtained results form the basis for further research on the modification of marked nanoparticles in surfactant solutions