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We address the process of discounting in random environments, which allows valuation of the future in economic terms. We review several approaches to the problem regarding different well-established stochastic market dynamics in the continuous-time context and include the Feynman-Kac approach. We also review the relation between bond-pricing theory and discounting and introduce both the market price of risk and the risk neutral measure from an intuitive point of view devoid of excessive formalism. We provide the discount for each economic model and discuss their key results. We finally present a summary of our previous empirical studies for several countries on the long-run discount problem.
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Heavy menstrual bleeding is a common condition among women of childbearing age. Although hysterectomy was the usual approach in acute cases in the past, other minimally invasive therapies or pharmacological alternatives, such as the levonorgestrel intrauterine device have shown to be highly effective. This case report presents the case of a pluripathological patient with acute heavy menstrual bleeding and severe anemia, who was successfully managed with ulipristal acetate, a selective progesterone receptor modulator. Bleeding control was achieved in 6 d without side effects, avoiding the need for surgery. This report suggests that ulipristal acetate could be useful in the treatment of acute uterine bleeding even in a structurally normal uterus without fibroids.
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Menorragia/tratamento farmacológico , Norpregnadienos/uso terapêutico , Doença Aguda , Adulto , Feminino , Humanos , Resultado do Tratamento , Hemorragia Uterina/tratamento farmacológicoAssuntos
Vacinas contra COVID-19 , COVID-19 , Feminino , Humanos , COVID-19/prevenção & controle , Ciclo MenstrualRESUMO
The analysis of pedestrian GPS datasets is fundamental to further advance on the study and the design of walkable cities. The highest resolution GPS data can characterize micro-mobility patterns and pedestrians' micro-motives in relation to a small-scale urban context. Purposed-based recurrent mobility data inside people's neighbourhoods is an important source in these sorts of studies. However, micro-mobility around people's homes is generally unavailable, and if data exists, it is generally not shareable often due to privacy issues. Citizen science and its public involvement practices in scientific research are valid options to circumvent these challenges and provide meaningful datasets for walkable cities. The study presents GPS records from single-day home-to-school pedestrian mobility of 10 schools in the Barcelona Metropolitan area (Spain). The research provides pedestrian mobility from an age-homogeneous group of people. The study shares processed records with specific filtering, cleaning, and interpolation procedures that can facilitate and accelerate data usage. Citizen science practices during the whole research process are reported to offer a complete perspective of the data collected.
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As libraries struggle to keep pace with the changing societal landscape, emerging practices such as citizen science (CS) initiatives are being incorporated to reinforce the idea of public libraries as gathering, meeting, and collaboration spaces within the context of shared community and shared learning resources. However, there is little empirical evidence of whether the most open and participatory ways that CS puts forward can converge with and be nurtured by the essence of public libraries. Also, the roles of librarians and users in the 'next generation public library' have been under-developed. As the number of CS initiatives at public libraries grows, so does the need to collect evidence on the impact and the capacity of assimilation of CS practices. The data describes librarians and users' perceptions of participating in a citizen science project. Two hands-on activities for librarians of the Barcelona Network of Public Libraries were implemented. One was a training course for 30 librarians from 24 libraries which allowed them to envisage citizen science implementation in each library. The second activity consisted in the co-creation of a citizen social science project. 40 library users, 7 librarians from 3 different cities, and professional scientists, were involved. The data on librarians and users' perception was collected through participant observation, surveys, and a focus group to identify strengths and challenges of implementing citizen science at public libraries. The data covers librarians and users attitudes towards citizen science, their motivations to participate, their perceived ability to implement a citizen science project (as for librarians) or to contribute to science (as for library users), and the participants intention to keep engaged with citizen science, drawing on the Theory of Planned Behavior. Responses to closed-ended survey questions are analyzed at a descriptive level. The qualitative feedback from the focus group and the open-ended survey question on motivations is subjected to a thematic analysis. The data offers interesting insights to identify opportunities and challenges of implementing citizen science at public libraries, contributing to the debate over the public library's mission as local community hub.
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Background: Heavy menstrual bleeding (HMB) is defined as excessive menstrual blood loss that interferes with quality of life (QoL). The methods for assessing HMB are not suited for clinical practice. We analyzed the validity of a combined visual analog scale (VAS) tool assessing the intensity of menstrual bleeding (VASInt) and its impact on activities of daily living (VASImp) to identify women with HMB. Materials and Methods: Analysis conducted in the data set used to validate the Spanish HMB screening tool SAMANTA questionnaire. A logistic regression analysis was used to construct the model. Reference standard was the pictorial blood loss assessment chart (PBAC). The performance of the HMB-VAS and the SAMANTA questionnaire was compared. Correlation with SAMANTA questionnaire, PBAC, and other QoL measurements was assessed. Results: The resulting function (HMB-VAS score = 10.86 × VASInt score +2.48 × VASImp score) showed a slightly lower accuracy versus the SAMANTA questionnaire (86.8% vs. 87.9%) but a similar area under the curve: 0.9396 versus 0.943, respectively (p = 0.6605). The cutoff point was established as 700. After rounding the regression coefficients, the resulting function (11 × VASInt +2 × VASImp) showed 87.6% accuracy. The correlation of HMB-VAS with the SAMANTA questionnaire was strong (r: 0.79819; p < 0.0001), whereas the correlation was moderate to strong with the PBAC (0.59299; p < 0.0001) and weak with the QoL (EuroQoL five dimensions five levels questionnaire [EQ-5D-5L]) and well-being (Psychological General Well-Being Index [PGWBI]) scales (EQ-5D-5L VAS and Index: -0.20332 and -0.24384; PGWBI: -0.21680; p < 0.0001 for both). Conclusion: The HMB-VAS shows good performance for HMB screening, providing an easy-to-use alternative to other psychometric tools.
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Heavy menstrual bleeding (HMB) is defined as excessive menstrual blood loss that interferes with quality of life. It is an under-diagnosed and under-treated disorder due to the poor correlation between patient perception and objective menstrual blood loss, as well as the scarcity of validated diagnostic tools. Anaemia caused by HMB is a common problem, underestimated on many occasions and with consequences that go beyond the scope of gynaecology. Despite the condition's negative effect on quality of life, most of the tools validated to detect HBM do not take this into account. The aim of this paper is to review the main instruments available to detect HMB, their advantages and disadvantages, their applicability in routine clinical practice, and to recommend those with the best characteristics.
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Anemia , Ginecologia , Menorragia , Anemia/diagnóstico , Anemia/etiologia , Feminino , Humanos , Menorragia/diagnóstico , Menorragia/etiologia , Menstruação , Qualidade de VidaRESUMO
We present outcomes from a large-scale air quality citizen science campaign (xAire, 725 measurements) to demonstrate its positive contribution in the interplay between advances in exposure assessment and developments in policy or collective action. A broad partnership with 1,650 people from communities around 18 primary schools across Barcelona provided the capacity to obtain unprecedented high-resolution NO2 levels and an updated asthma Health Impact Assessment. It is shown that NO2 levels vary considerably with at some cases very high levels. More than a 1,000 new cases of childhood asthma could be prevented each year by lowering NO2 levels. Representativity of site selection and the minimal number of samplers for land use regression modelling are considered. Enhancement of community knowledge and attitudes towards collective response were observed and identified as key drivers for successful large-scale monitoring campaigns. The results encourage strengthening collaboration with local communities when exploring environmental health issues.
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Poluentes Atmosféricos , Poluição do Ar , Ciência do Cidadão , Poluentes Atmosféricos/análise , Poluição do Ar/análise , Monitoramento Ambiental , Avaliação do Impacto na Saúde , Humanos , Dióxido de Nitrogênio/análiseRESUMO
OBJECTIVE: To know the contraceptive behaviour of Spanish women who use combined oral contraception (COC) during the period of lockdown due to COVID-19. METHODS: Cross-sectional, descriptive study of a sample of Spanish women who use COC based on a survey conducted through social networks using the online platform Survey Monkey. The survey was conducted during the period of home confinement. RESULTS: A total of 1407 women answered the survey and 937 were valid for the analysis. A total of 675 women (71.8%) were confined all day at home. During confinement 96,6% of women continued to use the COC, 53.5% responded that their sexual activity decreased during this time and 54% that their physical activity had decreased. A significant percentage of women (10.3%) recognized a worsening of premenstrual symptoms. CONCLUSION: Despite the lockdown and the decrease in the frequency of sexual intercourse, the Spanish women who use COC did not abandon its use during the period of time analysed.
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Dataset from a large-scale air quality citizen science campaign is presented (xAire, 725 measurements, see Ref. [1]). A broad partnership with 1650 citizens from communities around 18 primary schools across Barcelona (Spain) provided the capacity to obtain unprecedented high-resolution NO2 levels which had in turn the capacity to provide an updated asthma Health Impact Assessment. Nitrogen dioxide levels being obtained in a 4-week period during February and March 2018 with Palmes' diffusion samplers are herein provided. Dataset includes NO2 levels from outdoor locations n=671, playgrounds n=31, and inside school buildings (mostly classrooms) n=23. Data was calibrated and annualized with concentration levels from automatic reference stations. It is shown that NO2 levels vary considerably with at some cases very high levels. Strong differences might also however be explained by the fact that ambient air pollution is reduced exponentially with distance from an emission source like traffic meaning that two samplers located about 100 m away can measure a tenfold difference concentration level.
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We present an already tested protocol from a large-scale air quality citizen science campaign (xAire, 725 measurements, see Ref. [1]). A broad partnership with 1,650 people from communities including 18 primary schools in Barcelona (Spain) provided the capacity to obtain unprecedented high-resolution NO2 levels. Communities followed the protocol to select measurement points and obtain NO2 levels from outdoor locations n=671, playgrounds n=31, and inside school buildings (primarily classrooms) n=23. Data was calibrated and annualized with concentration levels from the city´s automatic air quality monitoring reference stations [2].
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The study explores the expectations and cooperative behaviours of men and women in a lab-in-the-field experiment by means of citizen science practices in the public space. It specifically examines the influence of gender-based pairings on the decisions to cooperate or defect in a framed and discrete Prisoner's Dilemma game after visual contact. Overall, we found that when gender is considered behavioural differences emerge in expectations of cooperation, cooperative behaviours, and their decision time depending on whom the partner is. Men pairs are the ones with the lowest expectations and cooperation rates. After visual contact women infer men's behaviour with the highest accuracy. Also, women take significantly more time to defect than to cooperate, compared to men. Finally, when the interacting partners have the opposite gender they expect significantly more cooperation and they achieve the best collective outcome. Together, the findings suggest that non verbal signals may influence men and women differently, offering novel interpretations to the context-dependence of gender differences in social decision tasks.
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Altruísmo , Comportamento Cooperativo , Teoria dos Jogos , Feminino , Humanos , Masculino , Motivação , Dilema do Prisioneiro , Fatores SexuaisRESUMO
Background: Heavy menstrual bleeding (HMB) affects up to 35% of women at some point in their lives, and has an important impact on their quality of life (QoL). Current techniques to assess and quantify menstrual blood loss are inconvenient and the correlation between actual and perceived blood loss is poor. This study aimed to develop and validate a screening questionnaire in Spanish to identify HMB in women of reproductive age. Methods: The study consisted of two phases: the conceptual development of a set of items to discriminate between women with and without HMB and the assessment of the sensitivity and specificity of these items. Correlation of the screening tool with women's perception of the intensity of bleeding and the interference in their daily life activities was also assessed. Results: An initial set of 46 items were identified, from which 21 items were selected following the cognitive interviews. For the psychometric validation phase, 389 patients were enrolled, of whom 364 were assessable: 211 cases with Pictorial Blood loss Assessment Chart-confirmed excessive menstrual loss (EML) and 153 controls. Six items met entry criteria in the model and together yielded a sensitivity of 86.7% and specificity of 89.5% to identify cases and controls. These items were weighted according to their contribution to the final model to yield a tool that can be scored from 0 to 10 being 3 the cutoff point to diagnose EML that interferes in QoL. Conclusions: The 6-item SAMANTA questionnaire represents a valid screening tool to easily identify women with EML that interfere with QoL.
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Menorragia/diagnóstico , Menstruação/fisiologia , Psicometria/estatística & dados numéricos , Qualidade de Vida/legislação & jurisprudência , Inquéritos e Questionários/normas , Adulto , Feminino , Humanos , Menorragia/psicologia , Pessoa de Meia-Idade , Qualidade de Vida/psicologia , Curva ROC , Reprodutibilidade dos Testes , Sensibilidade e EspecificidadeRESUMO
We solve the first-passage problem for the Heston random diffusion model. We obtain exact analytical expressions for the survival and the hitting probabilities to a given level of return. We study several asymptotic behaviors and obtain approximate forms of these probabilities which prove, among other interesting properties, the nonexistence of a mean-first-passage time. One significant result is the evidence of extreme deviations-which implies a high risk of default-when certain dimensionless parameter, related to the strength of the volatility fluctuations, increases. We confront the model with empirical daily data and we observe that it is able to capture a very broad domain of the hitting probability. We believe that this may provide an effective tool for risk control which can be readily applicable to real markets both for portfolio management and trading strategies.
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We solve the escape problem for the Heston random diffusion model from a finite interval of span L . We obtain exact expressions for the survival probability (which amounts to solving the complete escape problem) as well as for the mean exit time. We also average the volatility in order to work out the problem for the return alone regardless of volatility. We consider these results in terms of the dimensionless normal level of volatility-a ratio of the three parameters that appear in the Heston model-and analyze their form in several asymptotic limits. Thus, for instance, we show that the mean exit time grows quadratically with large spans while for small spans the growth is systematically slower, depending on the value of the normal level. We compare our results with those of the Wiener process and show that the assumption of stochastic volatility, in an apparently paradoxical way, increases survival and prolongs the escape time. We finally observe that the model is able to describe the main exit-time statistics of the Dow-Jones daily index.
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Social, technological, and economic time series are divided by events which are usually assumed to be random, albeit with some hierarchical structure. It is well known that the interevent statistics observed in these contexts differs from the Poissonian profile by being long-tailed distributed with resting and active periods interwoven. Understanding mechanisms generating consistent statistics has therefore become a central issue. The approach we present is taken from the continuous-time random-walk formalism and represents an analytical alternative to models of nontrivial priority that have been recently proposed. Our analysis also goes one step further by looking at the multifractal structure of the interevent times of human decisions. We here analyze the intertransaction time intervals of several financial markets. We observe that empirical data describe a subtle multifractal behavior. Our model explains this structure by taking the pausing-time density in the form of a superstatistics where the integral kernel quantifies the heterogeneous nature of the executed tasks. A stretched exponential kernel provides a multifractal profile valid for a certain limited range. A suggested heuristic analytical profile is capable of covering a broader region.
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Cooperation is one of the behavioral traits that define human beings, however we are still trying to understand why humans cooperate. Behavioral experiments have been largely conducted to shed light into the mechanisms behind cooperation-and other behavioral traits. However, most of these experiments have been conducted in laboratories with highly controlled experimental protocols but with limitations in terms of subject pool or decisions' context, which limits the reproducibility and the generalization of the results obtained. In an attempt to overcome these limitations, some experimental approaches have moved human behavior experimentation from laboratories to public spaces, where behaviors occur naturally, and have opened the participation to the general public within the citizen science framework. Given the open nature of these environments, it is critical to establish the appropriate data collection protocols to maintain the same data quality that one can obtain in the laboratories. In this article we introduce Citizen Social Lab, a software platform designed to be used in the wild using citizen science practices. The platform allows researchers to collect data in a more realistic context while maintaining the scientific rigor, and it is structured in a modular and scalable way so it can also be easily adapted for online or brick-and-mortar experimental laboratories. Following citizen science guidelines, the platform is designed to motivate a more general population into participation, but also to promote engaging and learning of the scientific research process. We also review the main results of the experiments performed using the platform up to now, and the set of games that each experiment includes. Finally, we evaluate some properties of the platform, such as the heterogeneity of the samples of the experiments, the satisfaction level of participants, or the technical parameters that demonstrate the robustness of the platform and the quality of the data collected.
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Participação da Comunidade/métodos , Coleta de Dados/métodos , Comportamento Social , Compreensão , Comportamento Cooperativo , Tomada de Decisões , Pesquisa Empírica , Jogos Experimentais , Experimentação Humana , Humanos , Aprendizagem , Reprodutibilidade dos Testes , Projetos de Pesquisa , Pesquisadores , Ciência/métodos , SoftwareRESUMO
Mental disorders have an enormous impact in our society, both in personal terms and in the economic costs associated with their treatment. In order to scale up services and bring down costs, administrations are starting to promote social interactions as key to care provision. We analyze quantitatively the importance of communities for effective mental health care, considering all community members involved. By means of citizen science practices, we have designed a suite of games that allow to probe into different behavioral traits of the role groups of the ecosystem. The evidence reinforces the idea of community social capital, with caregivers and professionals playing a leading role. Yet, the cost of collective action is mainly supported by individuals with a mental condition - which unveils their vulnerability. The results are in general agreement with previous findings but, since we broaden the perspective of previous studies, we are also able to find marked differences in the social behavior of certain groups of mental disorders. We finally point to the conditions under which cooperation among members of the ecosystem is better sustained, suggesting how virtuous cycles of inclusion and participation can be promoted in a 'care in the community' framework.
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Comportamento Cooperativo , Relações Interpessoais , Transtornos Mentais/terapia , Serviços de Saúde Mental/organização & administração , Saúde Mental , Administração dos Cuidados ao Paciente/organização & administração , Confiança , Adulto , Idoso , Ecossistema , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Comportamento Social , Adulto JovemRESUMO
Iron deficiency anemia is the most frequent cause of anemia world-wide and is a very common disorder in daily medical practice. Heavy menstrual bleeding (menorrhagia) and pregnancy and delivery can cause significant iron loss leading to severe anemia The aim of the present study was to characterize the population requiring intravenous iron and identify whether gynecological and obstetric iron loss are frequent indications for treatment. MATERIAL AND METHODS: Restrospective, single center study performed in a tertiary level university hospital from January 2014 to December 2016. RESULTS: During the 3-year study period, there were 4529 treatments with intravenous iron (45.98% in men vs. 54.02% in women). The population group from 10 to 54 years of age made up 19.33% of the total treatments, with 35.93% in men and 64.01% in women (Fisher exact test, p<0.001). Intravenous iron administration for gynecological and obstetric reasons was required in 20.54% and 24.82% of the total population, respectively, representing >45% of the indications for treatment in this population. CONCLUSIONS: The need for intravenous iron is related to anemia refractory to oral treatment or the need for rapid iron recovery. Our results show that women of fertile age are a population at risk of requiring intravenous iron as compared to a male population of the same age. It is mainly due to blood los related to pregnancy, delivery and puerperium as well as heavy menstrual bleeding.
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Anemia Ferropriva/epidemiologia , Ferro/administração & dosagem , Oligoelementos/administração & dosagem , Administração Intravenosa , Adolescente , Adulto , Idoso , Idoso de 80 Anos ou mais , Anemia Ferropriva/tratamento farmacológico , Criança , Pré-Escolar , Feminino , Humanos , Lactente , Masculino , Pessoa de Meia-Idade , Estudos Retrospectivos , Espanha/epidemiologia , Adulto JovemRESUMO
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