Climatic effects on the phenology of geophytes

Nowadays, the scientific and social significance of the research of climatic effects has become outstanding. In order to be able to predict the ecological effects of the global climate change, it is necessary to study monitoring databases of the past and explore connections. For the case study mentioned in the title, historical weather data series from the Hungarian Meteorological Service and Szaniszló Priszter’s monitoring data on the phenology of geophytes have been used. These data describe on which days the observed geophytes budded, were blooming and withered. In our research we have found that the classification of the observed years according to phenological events and the classification of those according to the frequency distribution of meteorological parameters show similar patterns, and the one variable group is suitable for explaining the pattern shown by the other one. Furthermore, our important result is that the dates of all three observed phenophases correlate significantly with the average of the daily temperature fluctuation in the given period. The second most often significant parameter is the number of frosty days, this also seem to be determinant for all phenophases. Usual approaches based on the temperature sum and the average temperature don’t seem to be really important in this respect. According to the results of the research, it has turned out that the phenology of geophytes can be well modelled with the linear combination of suitable meteorological parameters

Comparative analysis of the relationship between phenological phenomena and meteorological indicators based on insect and plant monitoring

Climate change is one of the biggest environmental problems of the 21st century. The most sensitive indicators of the effects of the climatic changes are phenological processes of the biota. The effects of climate change which were observed the earliest are the remarkable changes in the phenology (i.e. the timing of the phenophases) of the plants and animals, which have been systematically monitored later. In our research we searched for the answer: which meteorological factors show the strongest statistical relationships with phenological phenomena based on some chosen plant and insect species (in case of which large phenological databases are available). Our study was based on two large databases: one of them is the Lepidoptera database of the Hungarian Plant Protection and Forestry Light Trap Network, the other one is the Geophytes Phenology Database of the Botanical Garden of Eötvös Loránd University. In the case of butterflies, statistically defined phenological dates were determined based on the daily collection data, while in the case of plants, observation data on blooming were available. The same meteorological indicators were applied for both groups in our study. On the basis of the data series, analyses of correlation were carried out and a new indicator, the so-called G index was introduced, summing up the number of correlations which were found to be significant on the different levels of significance. In our present study we compare the significant meteorological factors and analyse the differences based on the correlation data on plants and butterflies. Data on butterflies are much more varied regarding the effectiveness of the meteorological factors.

An integrative approach to face and expression recognition from 3D scans

Biometrics is afield of study which pursues the association of a person's identity with his/her physiological or behavioral characteristics.^ As one aspect of biometrics, face recognition has attracted special attention because it is a natural and noninvasive means to identify individuals. Most of the previous studies in face recognition are based on two-dimensional (2D) intensity images. Face recognition based on 2D intensity images, however, is sensitive to environment illumination and subject orientation changes, affecting the recognition results. With the development of three-dimensional (3D) scanners, 3D face recognition is being explored as an alternative to the traditional 2D methods for face recognition.^ This dissertation proposes a method in which the expression and the identity of a face are determined in an integrated fashion from 3D scans. In this framework, there is a front end expression recognition module which sorts the incoming 3D face according to the expression detected in the 3D scans. Then, scans with neutral expressions are processed by a corresponding 3D neutral face recognition module. Alternatively, if a scan displays a non-neutral expression, e.g., a smiling expression, it will be routed to an appropriate specialized recognition module for smiling face recognition.^ The expression recognition method proposed in this dissertation is innovative in that it uses information from 3D scans to perform the classification task. A smiling face recognition module was developed, based on the statistical modeling of the variance between faces with neutral expression and faces with a smiling expression.^ The proposed expression and face recognition framework was tested with a database containing 120 3D scans from 30 subjects (Half are neutral faces and half are smiling faces). It is shown that the proposed framework achieves a recognition rate 10% higher than attempting the identification with only the neutral face recognition module.^

Research Note: Biometric Technology Applications and Trends in Hotels

The purpose of this study is to investigate the biometrics technologies adopted by hotels and the perception of hotel managers toward biometric technology applications. A descriptive, cross sectional survey was developed based on extensive review of literature and expert opinions. The population for this survey was property level executive managers in the U.S. hotels. Members of American Hotel and Lodging Association (AHLA) were selected as the target population for this study. The most frequent use of biometric technology is by hotel employees in the form of fingerprint scanning. Cost still seems to be one of the major barriers to adoption of biometric technology applications. The findings of this study showed that there definitely is a future in using biometric technology applications in hotels in the future, however, according to hoteliers; neither guests nor hoteliers are ready for it fully.

Effects of in situ CO2 enrichment on structural characteristics, photosynthesis, and growth of the Mediterranean seagrass Posidonia oceanica

Seagrass is expected to benefit from increased carbon availability under future ocean acidification. This hypothesis has been little tested by in situ manipulation. To test for ocean acidification effects on seagrass meadows under controlled CO2/pH conditions, we used a Free Ocean Carbon Dioxide Enrichment (FOCE) system which allows for the manipulation of pH as continuous offset from ambient. It was deployed in a Posidonia oceanica meadow at 11 m depth in the Northwestern Mediterranean Sea. It consisted of two benthic enclosures, an experimental and a control unit both 1.7 m**3, and an additional reference plot in the ambient environment (2 m**2) to account for structural artifacts. The meadow was monitored from April to November 2014. The pH of the experimental enclosure was lowered by 0.26 pH units for the second half of the 8-month study. The greatest magnitude of change in P. oceanica leaf biometrics, photosynthesis, and leaf growth accompanied seasonal changes recorded in the environment and values were similar between the two enclosures. Leaf thickness may change in response to lower pH but this requires further testing. Results are congruent with other short-term and natural studies that have investigated the response of P. oceanica over a wide range of pH. They suggest any benefit from ocean acidification, over the next century (at a pH of 7.7 on the total scale), on Posidonia physiology and growth may be minimal and difficult to detect without increased replication or longer experimental duration. The limited stimulation, which did not surpass any enclosure or seasonal effect, casts doubts on speculations that elevated CO2 would confer resistance to thermal stress and increase the buffering capacity of meadows.

A framework for investigating the use of face features to identify spontaneous emotions

Emotion-based analysis has raised a lot of interest, particularly in areas such as forensics, medicine, music, psychology, and human-machine interface. Following this trend, the use of facial analysis (either automatic or human-based) is the most common subject to be investigated once this type of data can easily be collected and is well accepted in the literature as a metric for inference of emotional states. Despite this popularity, due to several constraints found in real world scenarios (e.g. lightning, complex backgrounds, facial hair and so on), automatically obtaining affective information from face accurately is a very challenging accomplishment. This work presents a framework which aims to analyse emotional experiences through naturally generated facial expressions. Our main contribution is a new 4-dimensional model to describe emotional experiences in terms of appraisal, facial expressions, mood, and subjective experiences. In addition, we present an experiment using a new protocol proposed to obtain spontaneous emotional reactions. The results have suggested that the initial emotional state described by the participants of the experiment was different from that described after the exposure to the eliciting stimulus, thus showing that the used stimuli were capable of inducing the expected emotional states in most individuals. Moreover, our results pointed out that spontaneous facial reactions to emotions are very different from those in prototypic expressions due to the lack of expressiveness in the latter.

Utilizando comitês de classificadores para predição de rendimento escolar

Educational Data Mining is an application domain in artificial intelligence area that has been extensively explored nowadays. Technological advances and in particular, the increasing use of virtual learning environments have allowed the generation of considerable amounts of data to be investigated. Among the activities to be treated in this context exists the prediction of school performance of the students, which can be accomplished through the use of machine learning techniques. Such techniques may be used for student’s classification in predefined labels. One of the strategies to apply these techniques consists in their combination to design multi-classifier systems, which efficiency can be proven by results achieved in other studies conducted in several areas, such as medicine, commerce and biometrics. The data used in the experiments were obtained from the interactions between students in one of the most used virtual learning environments called Moodle. In this context, this paper presents the results of several experiments that include the use of specific multi-classifier systems systems, called ensembles, aiming to reach better results in school performance prediction that is, searching for highest accuracy percentage in the student’s classification. Therefore, this paper presents a significant exploration of educational data and it shows analyzes of relevant results about these experiments.

Influência das alturas iniciais de pasto diferido na recria de cordeiros sobre o desempenho na terminação em confinamento

The objective of this study was to evaluate the productive performance, metabolic and feeding behavior of sheep after ninety days deferred pasture at different heights. The experiment was conducted at Capim Branco experimental farm of the Universidade Federal de Uberlândia. During the period of 90 days, from June to September 2013, forty-eight crossbred lambs Santa Inês x Dorper, divided into groups of four animals, occupied twelve pickets deferred pasture with four initial heights (15 cm, 25 cm, 35 cm and 45 cm). During this period we evaluated the structural characteristics of pasture. For confinement, from September to December 2013, 32 of these animals were used (16 males and 16 females), divided into four bays, separated as pasture were using. The consumption was assessed daily, while biometric measurements were made every 21 days. In relation to gender, there were differences in average daily gain weight. Reviews of feeding behavior occurred at the beginning, middle and end of the experiment for 24 hours. The rumination and leisure activities do not present statistical differences, both initial height of pasture and by period. The time spent on intake was higher during the daytime both treatments starting height as the experimental periods, however, rumination activity was more intense at night. Blood glucose was achieved in five periods of the day, while other metabolites have been obtained with a collection made fortnightly. The different initial heights not promoted effects on blood glucose. The harvesting times were not affected. However, there was a reduction of basal blood glucose of animals throughout the experimental period. There was a significant interaction between the initial pasture heights and periods of evaluation of basal glucose. Cholesterol and triglyceride levels were below recommended levels, however the final phase of confinement cholesterol level increased significantly. The values of VLDL and GGT were above the reference range. FA and AST showed average values within the recommended values. Total protein was influenced by different initial heights of pasture. The creatinine and albumin had values below the recommended range. Moreover, the albumin decreased during the confinement time. Uric acid showed close to the recommended maximum. There was stabilization of compensatory growth, with modification of consumption and weight gain at 45 days of experiment.

La Ciberseguridad como factor crítico en la Seguridad de la Unión Europea

El ciberespacio es un escenario de conflicto altamente complejo al estar en constante evolución. Ni la Unión Europea ni ningún otro actor del sistema internacional se encuentra a salvo de las amenazas procedentes del ciberespacio. Pero los pasos dados desde la UE en el mundo de la ciberseguridad no son en absoluto suficientes. Europa necesita que su Estrategia de ciberseguridad sea realmente capaz de integrar a las diferentes Estrategias nacionales. Es urgente una mayor determinación, unos mayores recursos y unos mejores instrumentos que permitan a la Unión implementar una gestión de crisis y una prevención de ciberconflictos verdaderamente eficaz.

Boys2Men, an age estimation dataset with applications to detect enfants in pornography content

[EN]The aim of this paper is the detection of non adults in images.

Mixture of time-dependent growth models with an application to blue swimmer crab length-frequency data

Understanding how aquatic species grow is fundamental in fisheries because stock assessment often relies on growth dependent statistical models. Length-frequency-based methods become important when more applicable data for growth model estimation are either not available or very expensive. In this article, we develop a new framework for growth estimation from length-frequency data using a generalized von Bertalanffy growth model (VBGM) framework that allows for time-dependent covariates to be incorporated. A finite mixture of normal distributions is used to model the length-frequency cohorts of each month with the means constrained to follow a VBGM. The variances of the finite mixture components are constrained to be a function of mean length, reducing the number of parameters and allowing for an estimate of the variance at any length. To optimize the likelihood, we use a minorization–maximization (MM) algorithm with a Nelder–Mead sub-step. This work was motivated by the decline in catches of the blue swimmer crab (BSC) (Portunus armatus) off the east coast of Queensland, Australia. We test the method with a simulation study and then apply it to the BSC fishery data.

Dieta do ouriço-branco, Tripneustes ventricosus (Lamarck, 1816), no Arquipélago de Fernando de Noronha, PE

Sea urchins are benthic macroinvertebrates that inhabit shallow coastal waters in tropical and temperate zones. Urchins are usually classified as generalists or omnivores as they can adjust their diet according to the food resources available in the environment. Due to the strong grazing pressure they may exert, urchins have an important role in marine ecosystems, occupying different trophic levels and stimulating the intensification of the dynamics of communities where they occur. In 2004, a monitoring program focused on the population dynamics of the white sea urchin, Tripneustes ventricosus, has been initiated in the Fernando de Noronha Archipelago. At the same time, a surprisingly lack of information on the species biology has been noted, despite their wide geographical distribution and economic importance in many parts of its range. Hence, this work was developed to provide information on the feeding habits of T. ventricosus in the archipelago. Ten specimens were collected between December 2006 and July 2007 at two sites of the archipelago, Air France and Sueste Bay for biometrics and analysis of gut contents. Test diameters ranged from 9.19 cm (± 1.1) to 10.08 cm (± 0.58). Calculated stomach repletion index (IRE) was higher (p <0.05) in the Air France site and also during January and July. The IRE was not correlated to the gonad index. Fifteen different species of algae were detected in a total of 120 stomachs examined: 4 Chlorophytas, 4 Phaeophytas and 6 Rhodophytas. Food diversity (p <0.05) was higher in December 2006 and January 2007. Although several items had a high frequency of occurrence, they were low represented in terms of weight, and consequently, had a low level of relative importance. The brown algae Dictyopteris spp and Dictyota spp, followed by the green algae Caulerpa verticillata accounted for the greatest importance in T. ventricosus diet, comprising about 90% of the consumed items

Caracterização do estoque de anchoita (engraulis anchoita) da região Sul do Brasil e utilização desta matéria-prima na elaboração de produto de alto valor agregado

O trabalho teve por objetivo caracterizar o estoque de anchoita (Engraulis anchoita) capturado na região sul do Brasil, visando à utilização deste recurso de alto valor biológico no desenvolvimento de produtos semi-prontos e de fácil preparo, tipo empanado. Os experimentos foram conduzidos com anchoita resultante de cruzeiros realizados pelo Navio Oceanográfico Atlântico Sul da Universidade Federal do Rio Grande (FURG), RS, Brasil. Os exemplares foram capturados entre a cidade de Rio Grande (32ºS, RS-Brasil) e 51ºW. Após captura, o pescado foi armazenado a bordo em mistura de gelo e água do mar, na razão 1:1. As amostras foram transportadas para o laboratório de Biotecnologia da FURG e mantidas sob congelamento a -18°C, até a realização das análises. O trabalho está constituído por uma revisão bibliográfica, que enfatiza a importância do recurso pesqueiro em estudo como potencial a ser explorado, discorre sobre ácidos graxos e perfil de voláteis, bem como, o desenvolvimento de produtos à base de pescado. O desenvolvimento do trabalho é expresso por quatro artigos. O primeiro teve como objetivo caracterizar o estoque de anchoita segundo a biometria, rendimento, composição proximal, compostos nitrogenados e ácidos graxos. O rendimento, a composição proximal e o perfil de ácidos graxos foram realizados nas três frações que compõe o peixe: músculo claro, escuro e vísceras. A análise dos resultados demonstrou a variabilidade dos componentes em função das frações avaliadas e da época de captura, o que pode contribuir para a escolha do processo tecnológico a ser aplicado no desenvolvimento de produtos de alto valor agregado a partir dessa matéria-prima. No segundo artigo foi determinado o perfil de ácidos graxos da anchoita e avaliado o comportamento destes compostos durante o armazenamento congelado, bem como, dos voláteis gerados. Os resultados demonstraram a influência do armazenamento na modificação dos ácidos graxos, em especial, EPA e DHA, e que os voláteis gerados podem ser um índice em potencial para avaliar a qualidade da anchoita congelada. No terceiro artigo objetivou-se selecionar e treinar julgadores para avaliação do odor a pescado utilizando os padrões referência obtidos a partir do perfil de voláteis. Neste sentido, foi levantada a terminologia que descreve o odor da anchoita, definido padrões referência, bem como, selecionado e treinado uma equipe de julgadores. Foram utilizados 20 candidatos, deste total, 9 foram selecionados pelo método das amplitudes. Os julgadores selecionados foram submetidos ao treinamento no uso de escala não estruturada e na avaliação da intensidade do odor a pescado. O desempenho dos julgadores foi definido utilizando como amostra solução de lavagem resultante do processo de obtenção de base protéica de anchoita. Os resultados foram avaliados com base no poder de discriminação, repetibilidade das respostas e concordância entre julgadores, segundo análise de variância, com duas fontes de variação (amostra e repetições). Foram obtidos os valores de Famostra e Frepetição, para cada julgador. Os julgadores com o valor de Famostra significativo (p≤0,30) e Frepetição não significativo (p>0,05), bem como, concordância de médias com os demais julgadores foram considerados treinados. Segundo esse processo a equipe foi constituída por 8 julgadores selecionados e treinados na avaliação do odor a pescado. Finalmente, no quarto artigo foi avaliada a possibilidade de uso de base protéica (BPP) de anchoita na elaboração de massa base de empanados, bem como, em substituição a farinha de cobertura. Para obtenção das BPPs, foram testadas duas soluções extratoras (3 ciclos de extração com ácido fosfórico 0,05% e 1 ciclo de ácido fosfórico seguido de 2 ciclos com água). A BPP obtida na melhor condição utilizada foi seca a 70°C e submetida ao processo de moagem em moinho de facas para ser utilizada como farinha de cobertura. Formulações de empanado utilizando diferentes concentrações (25, 50, 75 e 100%) de anchoita desidratada na cobertura foram testadas no produto frito e forneado. Um teste de preferência com consumidores em potencial foi aplicado às diferentes formulações. Os resultados indicaram que a melhor condição de lavagem para obtenção das BPPs testadas foi quando são utilizados 3 ciclos de extração com ácido fosfórico. A avaliação da preferência junto ao consumidor em potencial demonstrou que a anchoita desidratada pode ser utilizada como farinha de cobertura em empanados na concentração de até 75%.