The critical coupling likelihood method: a new approach for seamless integration of environmental and operating conditions of gravitational wave detectors into gravitational wave searches

Any search effort for gravitational waves (GWs) using interferometric detectors like LIGO needs to be able to identify if and when noise couples into the detector’s output signal. The critical coupling likelihood (CCL) method has been developed to characterize potential noise coupling and in the future aid GW search efforts. By testing two hypotheses about pairs of channels, CCL is able to identify undesirable coupled instrumental noise from potential GW candidates. Our preliminary results show that CCL can associate up to ∼80% of observed artifacts with SNR ⩾ 8 with local noise sources, while reducing the duty cycle of the instrument by ≲ 15%. An approach like CCL will become increasingly important as GW research moves into the advanced LIGO era, going from the first GW detection to GW astronomy

Introduction of sucrose in the diet plan of persons with type 1 diabetes: its influence in the glycemic control

To evaluate the influence of sucrose intake in the glycemic control, ten adolescents with type 1 diabetes were followed during eight months. Initially, they received personalized orientation on diet, self monitoring blood glucose and insulin dose adjustment; after four months, all patients introduced sucrose in their afternoon meals, throught the method of carbohydrate counting. Total cholesterol and triglycerides levels were measured in the beginning and in the final of the study. Hemoglobin A1C levels were measured in the beginning, after four months without and after four months with intake of foods with sucrose. All patients showed adequate pubertal development and growth; two had overweight and the others were eutrophic. After four mounths of follow up, the frequency of self monitoring blood glucose was reduced (p< 0.001). Total cholesterol and triglycerides values were in the normal range and A1C values decreased during the observed period (p= 0.027). Conclusion: the consumption of foods with sucrose, using the technique of carbohydrate counting, did not affect the metabolic control of adolescents with type 1 diabetes.Para avaliar a influência da introdução da sacarose no controle glicêmico, dez adolescentes com diabetes tipo 1 foram acompanhados durante oito meses. Inicialmente, receberam orientação individualizada sobre dieta, automonitorização da glicemia, ajuste da dose de insulina e, a partir do quarto mês, iniciou-se a introdução de alimentos com sacarose, através da técnica de contagem de gramas de carboidratos, no lanche vespertino. O colesterol total e triglicérides foram dosados no início e no final do estudo e a hemoglobina A1C no início, após quatro meses sem e após quatro meses com consumo de sacarose. Todos os participantes apresentaram desenvolvimento puberal e crescimento adequados; dois possuíam sobrepeso e os demais eram eutróficos. A freqüência da automonitorização diminuiu após quatro meses de acompanhamento (p< 0,001). Os valores de colesterol total e triglicérides estiveram dentro da normalidade e os valores da A1C diminuíram durante o seguimento (p= 0,027). Conclusão: o consumo de alimentos com sacarose, utilizando a técnica de contagem de gramas de carboidratos, não comprometeu o controle metabólico dos adolescentes com diabetes tipo 1.Universidade Federal de São Paulo (UNIFESP) Centro de DiabetesUSP Faculdade de Medicina de Ribeirão Preto Departamento de Medicina SocialUNIFESP, Centro de DiabetesSciEL

Vine protection on family farms: decision making and pesticide use

Family farming is defined as the one which is managed by the family and uses mostly family labor. In the north of Portugal, family farm products are primarily intended for consumption by the household, and secondarily for local sale. Grape production is in many farms the main source of income, and is the one in which the farmer is willing to apply more pesticides to guarantee the quantity and quality required for processing. However, vineyard family farmers do not always register their practices and are rarely subject to any controls. Therefore, the way in which decision-making and compliance with the rules are carried out in these farms are not known. To understand the decision-making processes regarding phytosanitary treatments of these farmers, as well as their perception and caution with the use of pesticides, a checklist-type questionnaire was applied to a sample of 109 family farmers in the NUTIII region in Portugal. Issues related to: i) sociodemographic characteristics, and ii) agricultural practices related to the vineyard protection, were analyzed. The univariate data analysis was associated with the application of a principal component analysis (PCA). The obtained results reveal that the use of pesticides in family farm vineyards is a widespread practice and that the decision making and choice of the pesticide is, in most situations, carried out without the necessary caution, technical monitoring or registration. Respondents with a higher level of education say that they are more careful about the use of pesticides and individual protection. The younger and more educated age groups are more compliant when it comes to regulatory obligations such as the registrations

Validity of interpretation: a user validity perspective beyond the test score

YesThis paper introduces the concept of user validity and provides a new perspective on the validity of interpretations from tests. Test interpretation is based on outputs such as test scores, profiles, reports, spread-sheets of multiple candidates’ scores, etc. The user validity perspective focuses on the interpretations a test user makes given the purpose of the test and the information provided in the test output. This innovative perspective focuses on how user validity can be extended to content, criterion and to some extent construct-related validity. It provides a basis for researching the validity of interpretations and an improved understanding of the appropriateness of different approaches to score interpretation, as well as how to design test outputs and assessments which are pragmatic and optimal

Establishment of Detection and Correction Parameters for a Geostatistical Homogenisation Approach

Ribeiro, S., Caineta, J., Costa, A. C., & Soares, A. (2015). Establishment of Detection and Correction Parameters for a Geostatistical Homogenisation Approach. Procedia Environmental Sciences, 27, 83-88. https://doi.org/10.1016/j.proenv.2015.07.115Abstract Non-natural irregularities are an inevitable part of long-time climate records. They are originated during the process of measuring and collecting data from weather stations. In order to use those records as an input for environmental projects or climate studies, it is essential to detect and correct the irregularities through the process of homogenisation. The use of geostatistical approaches as homogenisation techniques has already been proven to be successful. The gsimcli homogenisation process is based on a geostatistical simulation method, the direct sequential simulation. This method generates a set of equally probable and independent realisations, and calculates a probability distribution function at the candidate station's location. This probability distribution function is then used in the identification and correction of irregularities. Currently, gsimcli is being developed into an open source software package. During the homogenisation process, gsimcli requires the selection of several parameters in the detection and correction of irregularities. The candidate stations’ order to be homogenised, the value of the probability used in the detection of irregularities, and the statistic value to be used in the correction of the irregularity or in the replacement of missing data, are examples of parameters to be chosen for the homogenisation with gsimcli. This work presents a sensitivity analysis of those parameters, in order to find the most suitable set of values for the homogenisation of monthly precipitation data. A benchmark data set, comprising climate records from an Austrian precipitation network, will be used in this analysis. Performance metrics are calculated to evaluate the efficiency of the homogenisation process. The set of parameters providing the best values of performance metrics will be defined as the default set of homogenisation parameters for precipitation data.publishersversionpublishe

Life skills training: a theoretical proposal and future challenges

Life skills are personal resources that can be trained and applied in a specific situation and transferred to other contexts. The growing body of research has shown that intervention programs produce positive results in learning and transferring life skills. Nonetheless, there is a need to clarify the efficacy of life skills training, namely the theoretical background of life skills interventions and how to organize the intervention programs. This paper attempts to overcome these gaps of literature by providing a conceptualization of life skills into two axes: typology (cognitive to physical continuum) and function (personal and interpersonal). Also, it is presented a theoretical model of life skills training that establishes the stages and principles of life skills acquisition, the variables that influence training, and the measures and hypotheses that can be used to evaluate the efficacy of life skills training. In sum, we clarify the actual challenges of life skills training and provide indications on how to apply and evaluate the efficacy of the intervention.This work was done at the Psychology Research Centre (CIPsi/UM) School of Psychology, University of Minho, supported by the Foundation for Science and Technology (FCT) through the Portuguese State Budget (UIDB/01662/2020)

A Global optimization stochastic algorithm for head motion stabilization during quadruped robot locomotion

Visually-guided locomotion is important for autonomous robotics. However, there are several di culties, for instance, the robot locomotion induces head shaking that constraints stable image acquisition and the possibility to rely on that information to act accordingly. In this work, we propose a combined approach based on a controller architecture that is able to generate locomotion for a quadruped robot and a genetic algorithm to generate head movement stabilization. The movement controllers are biologically inspired in the concept of Central Pattern Generators (CPGs) that are modelled based on nonlinear dynamical systems, coupled Hopf oscillators. This approach allows to explicitly specify parameters such as ampli- tude, o set and frequency of movement and to smoothly modulate the generated oscillations according to changes in these parameters. Thus, in order to achieve the desired head movement, opposed to the one induced by locomotion, it is necessary to appropriately tune the CPG parameters. Since this is a non-linear and non-convex optimization problem, the tuning of CPG parameters is achieved by using a global optimization method. The genetic algorithm searches for the best set of parameters that generates the head movement in order to reduce the head shaking caused by locomotion. Optimization is done o ine according to the head movement induced by the locomotion when no stabilization procedure was performed. In order to evaluate the resulting head movement, a tness function based on the Euclidian norm is investigated. Moreover, a constraint handling technique based on tournament selection was im- plemented. Experimental results on a simulated AIBO robot demonstrate that the proposed approach generates head movement that reduces signi cantly the one induced by locomotion

Pilot-scale study on the removal of pharmaceuticals by LECA based SSF-constructed wetlands

In recent years, the occurrence and fate of pharmaceutically active compounds (PhACs) in the aquatic environment has been recognized as one of the emerging issues in environmental chemistry. Some compounds are just resistant to degradation in the sewage treatment plants (STPs) while others, although suffering partial degradation, still end up in receiving water bodies due to the large inputs received in STPs [1]. Clofibric acid (a metabolite from a series of widely used blood lipids lowering agents), ibuprofen (an anti-inflamatory non-prescription drug) and carbamazepine (an anticonvulsant and mood stabilizing drug) are some of the most frequently found PhACs in environmental monitoring studies [1]. Wastewater treatment by sub-surface flow constructed wetland systems (SSF-CWs) is a low-cost technology that has shown some capacity for removal of several organic xenobiotic pollutants, but fewer studies exist on pharmaceuticals behavior. The aim of the present work was to evaluate the efficiency of a pilot SSF-CW assembled with the plants cattail (Typha spp.) and a clay material (LECA 2/4) as support matrix, for the removal of three pharmaceuticals, namely ibuprofen (IB), carbamazepine (CB) and clofibric acid (CA), from contaminated wastewaters. Four beds were planted with pre-grown cattails (density of 80 plants/m2) and four were left unplanted to be used as controls. Experiments were conducted both in batch and in continuous mode with a flooding rate of 100%. Pharmaceutical concentrations were quantified by HPLC with UV detection at 210 nm (CB), 222 nm (IB) and 230 nm (CA). Solid phase extraction was used for sample pre-concentration whenever the measured pharmaceutical concentrations fell under the limit of quantification of the analytical method. The physico-chemical characterization of the support matrix material, LECA, involved the determination of properties such as pH, point of zero charge, electrical conductivity, apparent porosity, bulk density and hydraulic conductivity. In order to shed some light on the tolerance mechanisms developed by Typha spp. in the presence of these pharmaceuticals, biochemical and physiological parameters were evaluated. Typha spp. showed good tolerance to the presence of CA, CB and IB concentrations of 1 mg L-1, which is a value much higher than those usually reported in wastewaters. LECA alone was able to remove about 90% of the initial amounts of CB and IB in solution, and 50% of CA. IB was very susceptible to microbial degradation and up to 80% of the initial concentration could be removed by the microbial population present in the wastewater used. Overall, the CWS shows a higher removal performance for CA, CB and IB than any of its individual components (plants, support matrix, microorganisms) considered separately. CA proved to be the most resilient compound, which comes in agreement with other published data. However, this system enabled the removal of substantially higher amounts of CA than has previously been reported in other studies. The use of systems of this kind for the removal of pharmaceuticals from wastewaters seems like a promising alternative to the less efficient processes of conventional wastewater treatment

Influence of mordants in the colour of natural dyes: theoretical predictions and experimental results

Arraiolos tapestries are probably one of the richest artistic Portuguese expressions in terms of textile production and a cultural heritage that urges to preserve. The richness of colours displayed by some of the Arraiolos tapestries denotes the likely use of a wide variety of dyes. The different light-fastness of dyes combined with the use of different types of mordants can also explain the appearance of pale shades and fading in some tapestries due to different molecule interactions with the support fibres. The work we present is part of a major project (experimental and theoretical) that envisages the identification of the dyes and mordants used throughout the ages in the production of Arraiolos tapestries and the establishment of the major factors (like mordant, humidity and light) that are responsible for the colour and fading of the natural dyes as well as for the degradation of the fibres. It is well known that the colour of a dye depends on the type of mordant used, due to the formation of metal complexes that cause a change in the molecular orbitals energies and hence a shift in UV/Vis absorption bands. The electronic structure and transitions in the visible spectra of some dyes and mordants identified on Arraiolos rugs were predicted by the ZINDO-INDO/S semi-empirical molecular orbital method [1,2] in order to identify the origin of the colours and characterize the influence of metal coordination on colour modifications. The molecular geometry of each dye-mordant complex was optimized at DFT level using the Gaussian03 package [3] and a simulation of the UV/Vis absorption spectrum was calculated using ZINDO. Another important outcome of this study was the determination of the chromophore properties of fragment molecules produced by the dyes degradation processes that enabled the evaluation of the colour changes of the dyes and subsequent fading. Wool fibres were dyed with previously identified natural dyes and mordants and the colour parameters and the spectra were determined using a UV-Vis portable spectrometer. These parameters were compared with the results from the theoretical predictions