Risk is the probability that within a certain time some expected negative event will take place. In medicine risk can be related to a decision or to some intrinsic factors which are associated with the probability of the occurrence of a disease. Decisions can be necessary in the individual life with respect to the question of visiting a physician or performing a certain diagnostic or therapeutic procedure. The introduction of new pharmaceutical or technical products into medical use are (...) another set of decisions which can generate certain risks. Intrinsic or inherent risk factors are a set of variables or signs and symptoms which indicate the presence of a certain probability that some disease or event, e.g., arteriosclerosis or sudden infant death syndrome, may occur. Risk is always related to judgement. In a decision process cost, effectiveness and profit can be used to estimate the magnitude of the risk to be taken. In a similar way the problems in connection with an inherent risk are primarily related to the recognition of the magnitude of risk and to the possibility of prophylactic measures.In our own area of research, the sudden infant death syndrome (SIDS) is an event where only risk factors can be observed. We point at two facts in this context: Highly complex patterns of symptoms like behaviour can better be classified by intuitive Gestalt perception. A medical procedure like induction of labour can itself become a risk factor. (shrink)

Obesity is characterized by the accumulation of an excessive amount of fat mass in the adipose tissue, subcutaneous, or inside certain organs. The risk does not lie so much in the amount of fat accumulated as in its distribution. Abdominal obesity is an important risk factor for cardiovascular diseases, diabetes, and cancer, having an important role in the so-called metabolic syndrome. Therefore, it is necessary to prevent, detect, and appropriately treat obesity. The diagnosis is based on anthropometric (...) indices that have been associated with adiposity and its distribution. Indices themselves, or a combination of some of them, conform to a big picture with different values to establish risk. Anthropometric indices can be used for risk identification, intervention, or impact evaluation on nutritional status or health; therefore, they will be called anthropometric health indicators. We have found 17 AHIs that can be obtained or estimated from 3D human shapes, being a noninvasive alternative compared to X-ray-based systems, and more accessible than high-cost equipment. A literature review has been conducted to analyze the following information for each indicator: definition; main calculation or obtaining methods used; health aspects associated with the indicator ; criteria to classify the population by means of percentiles or cutoff points, and based on variables such as sex, age, ethnicity, or geographic area, and limitations. (shrink)

Predictions about the health risks of low level radiation combine two sorts of measures. One estimates the amount and kinds of radiation released into the environment, and the other estimates the adverse health effects. A new field called health physics integrates and applies nuclear physics to cytology to supply both these estimates. It does so by first determining the kinds of effects different types of radiation produce in biological organisms, and second, by monitoring the extent of these effects produced by (...) given levels of exposure. This essay examines the interplay between evidential constraints and external, contextual interests and values in studying the biological hazards of radiation. By analyzing the debate over linear vs. quadratic dose response models, the essay focuses on problems of developing quantitative, rather than qualitative, estimates of the risks of increased cancer incidence in an exposed population. (shrink)

Recent research has shown that psychological risk factors play an important role in the pathogenesis of cardiovascular diseases. The so-called coronary prone behaviour pattern predominates, an important part of which is the Type A behaviour pattern. This is characterized by a marked ambition, a constant feeling of being under pressure, due to latent aggression and to a striving to dominate. For cerebrovascular diseases the so-called pressured pattern as a risk factor has been found to be typical which (...) is comparable to the Type A behaviour. Psychological risk factors and their components are not equally important for different vascular diseases. Besides the explanation of the question as to how far psychological processes really are involved in the development of vascular diseases, the research on psychological risk factors serves as a foundation for psychosomatic theories. (shrink)

IntroductionChildhood maltreatment is a developmental risk factor and can negatively influence later psychological functioning, health, and development in the next generation. A comprehensive understanding of the biopsychosocial underpinnings of CM transmission would allow to identify protective factors that could disrupt the intergenerational CM risk cycle. This study examined the consequences of maternal CM and the effects of psychosocial and biological resilience factors on child attachment and stress-regulatory development using a prospective trans-disciplinary approach.MethodsMother-child dyads participated shortly after parturition, after (...) 3 months, and 12 months later. Mothers’ CM experiences were assessed at t0, attachment representation at t1 and psychosocial risk and social support were assessed at t1 and t2. At t2, dyads participated in the Strange Situation Procedure. Children’s attachmen status were classified as organized vs. disorganized, including their level of disorganized behavior, and heart rate and respiratory sinus arrhythmia were recorded as stress response measures of the autonomic nervous system. Maternal caregiving during SSP was assessed using the AMBIANCE scale. Child’s single nucleotide polymorphisms rs2254298 within the oxytocin receptor and rs2740210 of the oxytocin gene were genotyped using DNA isolated from cord blood.ResultsMaternal CM experiences were significantly associated with an unresolved attachment status, higher perceived stress and more psychological symptoms. These negative effects of CM were attenuated by social support. As expected, maternal unresolved attachment and child disorganized attachment were significantly associated. Maternal caregiving did not mediate the relationship between maternal and child attachment but influenced children’s HR and RSA response and disorganized behavior. Moreover, the rs2254298 genotype of the OXTR gene moderated the stress response of children from mothers with CM. Children carrying the rs2740210 risk allele of the OXT gene showed more disorganized behavior independent from maternal CM experiences.ConclusionWe replicated and extended existing CM and attachment models by co-examining maternal attachment, social support, and child genetic susceptibility on child attachment and cardiovascular stress regulation. The findings contribute to an extended understanding of risk and resilience factors and enable professionals to target adequate services to parents and children at risk. (shrink)

Since the second half of the twentieth century, biomedical research has made increasing use of epidemiological methods to establish empirical evidence on a population level. This paper is about practices with data in epidemiological research, based on a case study in Denmark. I propose an epistemology of record linkage that invites exploration of epidemiological studies as heterogeneous assemblages. Focusing on data collecting, sampling and linkage, I examine how data organisation and processing become productive beyond the context of their collection. The (...) case study looks at how a local population database established in 1976 to investigate possibilities for the prevention of cardiovascular disease is used thirty years later to test hypotheses on the aetiology of breast cancer. For two breast cancer investigations based on the same core data set, I follow the underlying record linkage practice and describe how research objects such as molecular markers become relevant with respect to public health through information networking. Epidemiological association studies function as tools that performatively enrol different contexts into statistical risk estimation, thereby configuring options for research as well as for clinical testing and public health policy. (shrink)

In several experiments of survival analysis, the cause of death or failure of any subject may be characterized by more than one cause. Since the cause of failure may be dependent or independent, in this work, we discuss the competing risk lifetime model under progressive type-II censored where the removal follows a binomial distribution. We consider the Akshaya lifetime failure model under independent causes and the number of subjects removed at every failure time when the removal follows the binomial (...) distribution with known parameters. The classical and Bayesian approaches are used to account for the point and interval estimation procedures for parameters and parametric functions. The Bayes estimate is obtained by using the Markov Chain Monte Carlo method under symmetric and asymmetric loss functions. We apply the Metropolis–Hasting algorithm to generate MCMC samples from the posterior density function. A simulated data set is applied to diagnose the performance of the two techniques applied here. The data represented the survival times of mice kept in a conventional germ-free environment, all of which were exposed to a fixed dose of radiation at the age of 5 to 6 weeks, which was used as a practice for the model discussed. There are 3 causes of death. In group 1, we considered thymic lymphoma to be the first cause and other causes to be the second. On the base of mice data, the survival mean time of mice of the second cause is higher than the first cause. (shrink)

Trafficking and persistence of fetal microchimeric cells (fMCs) and circulating extracellular vesicles (EVs) have been observed in animals and humans, but their consequences in the maternal body and their mechanistic contributions to maternal physiology and pathophysiology are not yet fully defined. Fetal cells and EVs may help remodel maternal organs after pregnancy‐associated changes, but the cell types and EV cargos reaching the mother in preterm pregnancies after exposure to various risk factors can be distinct from term pregnancies. As preterm (...) delivery‐associated maternal complications are rising, revisiting this topic and formulating scientific questions for future research to reduce the risk of maternal morbidities are timely. Epidemiological studies report maternal cardiovascular risk as one of the major complications after preterm delivery. This paper suggests a potential link between fMCs and circulating EVs and adverse maternal cardiovascular outcomes post‐pregnancies, the underlying mechanisms, consequences, and methods for and how this link might be assessed. (shrink)

Several key areas in modeling the cardiovascular and respiratory control systems are reviewed and examples are given which reflect the research state of the art in these areas. Attention is given to the interrelated issues of data collection, experimental design, and model application including model development and analysis. Examples are given of current clinical problems which can be examined via modeling, and important issues related to model adaptation to the clinical setting.

the problem of estimation of High Hume (NBIC) technogenic evolutionary risks is analysed as part of concept of 3-components evolutionary strategy of Homo sapiens.

Many formerly incarcerated people have civil legal needs that can imperil their successful re-entry to society and, consequently, their health. We categorize these needs and assess their association with cardiovascular disease risk factors in a sample of recently released people. We find that having legal needs related to debt, public benefits, housing, or healthcare access is associated with psychosocial stress, but not uncontrolled high blood pressure or high cholesterol, in the first three months after release.

Three negative affective dispositions—anger, anxiety, and depression—are hypothesized to increase physical disease risk and have been the subject of epidemiological studies. However, the overlap among the major negative affective dispositions, and the superordinate construct of trait negative affectivity are only beginning to be tested. Presented here is a narrative review of recent prospective studies that simultaneously tested anger, anxiety, depression, and trait NA as risk factors for cardiac outcomes. Anxiety and depression emerged as independent risk factors for (...) premature heart disease in population studies of persons nominally healthy at baseline, and for recurrence/mortality among patients with existing heart disease. General trait NA also was a cardiac risk factor in population samples. (shrink)

Accurate estimation of risk and benefit is integral to good clinical research planning, ethical review, and study implementation. Some commentators have argued that various actors in clinical research systems are prone to biased or arbitrary risk/benefit estimation. In this commentary, we suggest the evidence supporting such claims is very limited. Most prior work has imputed risk/benefit beliefs based on past behavior or goals, rather than directly measuring them. We describe an approach – forecast analysis – (...) that would enable direct and effective measure of the quality of risk/benefit estimation. We then consider some objections and limitations to the forecasting approach. (shrink)

Cardiovascular disease (CVD) and sustained high blood glucose as prediabetes are an established comorbidity. People's experience in reconciling these long‐term conditions requires deeper appreciation if nurses are to more effectively support person‐centred care for people who have them. Our analysis explores the initial experience of people admitted to hospital with CVD who then find they also have sustained high blood glucose. Our methodology is informed by the philosophy of Gadamer and applies interpretive description to develop an interpretation of participant (...) experiences. The major theme emerging from participant interviews was the ‘invisible disequilibrium’ characterised by three subthemes: ‘losing equilibrium’, ‘becoming embattled’ and ‘evolving illness’. This study examines CVD and prediabetes in conjunction with the Gadamerian notion of the ‘whole’, as being in a social and emotional world in which illness is also a component part. We explore how participants lived within an ‘invisible disequilibrium’, with prediabetes frequently remaining unnoticed, while CVD was manifest. To identify multiple conditions and support effective intervention to manage them as part of person‐centric care, nursing practice should explore the ‘whole’ of the person's experience, value people’s knowledge as potential indicators of complex illness, thereby reducing the risk of accelerating complex illness. (shrink)

Despite recent advances in the research related to air pollution and associated adverse cardiovascular events, the combined effects of air pollution, climate change, and SARS‐CoV‐2 infection on cardiovascular health need to be researched further. This Commentary addresses their impacts on cardiovascular health in the approximately 25 million people with a severe form of inherited hypercholesterolemia, called familial hypercholesterolemia (FH). The arterial endothelium in these individuals is potentially under multiple attacks caused by particles of both endogenous and exogenous (...) origin. Thus, they have a lifelong highly elevated level of circulating low density lipoprotein (LDL) cholesterol which drives premature atherosclerosis. The high levels of LDL particles, often associated with an elevated level of circulating lipoprotein(a) particles, are both capable of inducing and maintaining endothelial dysfunction. Such pre‐existing endothelial dysfunction can be exacerbated by exposure to SARS‐CoV‐2 viral particles, by exposure to fine particulate matter generated by climate change‐associated wildfires, and by dehydration during deadly heatwaves linked to the globally rising temperatures. The external factors can severely worsen the pre‐existing endothelial dysfunction, and thereby significantly increase the risk of a cardiovascular event in the exposed FH patients. (shrink)

This is the editorial for a special volume of JETAI, featuring papers by Omohundro, Armstrong/Sotala/O’Heigeartaigh, T Goertzel, Brundage, Yampolskiy, B. Goertzel, Potapov/Rodinov, Kornai and Sandberg. - If the general intelligence of artificial systems were to surpass that of humans significantly, this would constitute a significant risk for humanity – so even if we estimate the probability of this event to be fairly low, it is necessary to think about it now. We need to estimate what progress we can expect, (...) what the impact of superintelligent machines might be, how we might design safe and controllable systems, and whether there are directions of research that should best be avoided or strengthened. (shrink)

Understanding employee stress has become a key issue for top management for corporate growth and risk reduction. So far, annual employee satisfaction surveys have been conducted to assess the soundness of an organization. However, since it is difficult to collect questionnaires quantitatively and continuously, there is a need for a practical method that can be used to frequently measure group stress levels with a small burden on employees. We propose such a method and evaluated four combinations of approaches, using (...) activity/rest duration distributions from body motion data and generating estimation models on an individual/group basis. The optimal result was obtained when modeling was made on a group basis by using the activity duration distribution, making it possible to assess the degree of the stress of employees quantitatively and easily, and this showed the possibility of this method being useful as a management guide for companies. (shrink)

We conduct a standardized survey on risk preferences in 53 countries worldwide and estimate cumulative prospect theory parameters from the data. The parameter estimates show that significant differences on the cross-country level are to some extent robust and related to economic and cultural differences. In particular, a closer look on probability weighting underlines gender differences, economic effects, and cultural impact on probability weighting. The data set is a useful starting point for future research that investigates the impact of (...) class='Hi'>risk preferences on the market level. (shrink)

The EU proposal for the Artificial Intelligence Act (AIA) defines four risk categories: unacceptable, high, limited, and minimal. However, as these categories statically depend on broad fields of application of AI, the risk magnitude may be wrongly estimated, and the AIA may not be enforced effectively. This problem is particularly challenging when it comes to regulating general-purpose AI (GPAI), which has versatile and often unpredictable applications. Recent amendments to the compromise text, though introducing context-specific assessments, remain insufficient. To (...) address this, we propose applying the risk categories to specific AI scenarios, rather than solely to fields of application, using a risk assessment model that integrates the AIA with the risk approach arising from the Intergovernmental Panel on Climate Change (IPCC) and related literature. This model enables the estimation of the magnitude of AI risk by considering the interaction between (a) risk determinants, (b) individual drivers of determinants, and (c) multiple risk types. We use large language models (LLMs) as an example. (shrink)

Quantitative estimates of risk, and their comparison with quantitative estimates of benefit, contribute usefully to decision-making in many fields. In medicine, our assessments of the probability of harm, and of the likelihood of benefit, resulting from many procedures are at present very limited. Moreover, the comparison of risk and of benefit is difficult to make in any quantitative way, whether for a procedure in general or, even more so, for its application in any particular patient. Yet it must (...) be ethically insecure to propose or to use a procedure without some assessment, however approximate, of the hazards involved, and without some indication of whether those hazards will be clearly offset by the likelihood of benefit that should result from use of the procedure. (shrink)

We frequently engage in activities that impose a risk of serious harm on innocent others in order to realise trivial benefits for ourselves or third parties. Many moral theories tie the evidence-relative permissibility of engaging in such activities to the size of the risk that an individual agent imposes. I argue that we should move away from such a reliance on quantified individual risks when conceptualising morally permissible risk imposition. Under most circumstances of interest, a conscientious reasoner (...) will identify a gap between the factors they deem potentially relevant to the riskiness of an agent’s behaviour, and the factors they are reasonably able to quantify. This then leads a conscientious reasoner to conclude that they cannot, in good faith, come up with a quantitative risk estimate that is genuinely tailored to the agent’s particular situation. Based on this, I argue that principles of morally permissible risk imposition fail to provide us with practical guidance if they ask us to take into account our agent-specific risks in a quantified manner. I also argue that principles of permissible risk imposition which appeal to quantified individual risks implausibly imply that it is frequently indeterminate whether engaging in some risky activity is morally permissible. For both of these reasons, I contend that principles of morally permissible risk imposition should make no reference to quantified individual risks. They should instead acknowledge that any quantitative estimates that an agent might usefully be able to consider will likely not be tailored to the agent’s idiosyncratic situation. (shrink)

The use of composite outcomes is becoming widespread in clinical trials. By combining individual outcome measures into a composite, researchers claim a composite can increase statistical precision and trial efficiency, expediting the trial by reducing sample size and cost, and consequently enabling researchers to answer questions that could not otherwise be answered. Another rationale given for using a composite is that it provides a measure of the net effect of the intervention that is more patient-relevant than any single outcome measure. (...) Critics, on the other hand, argue that the use of composites threatens the scientific objectivity of the trial by introducing new risks, and that in practice components are inconsistently defined, unreasonably combined, and inadequately reported. Philosophical scrutiny can help shed light in these disagreements and disentangle ethical and epistemological issues of composites in clinical trials. I examine common use of composites in cardiovascular trials, and show how composite results can be problematic, even misleading, if the proper range of scientific decisions and their consequences are ignored when judging the composite. Philosophies of science that are principled on normative versions of the argument from inductive risk can help explicate issues with composites. I conclude by suggesting ways of remedying composite issues in clinical trials. (shrink)

SummaryAggarwal Baniyas were found to have a high prevalence of high blood pressure. Genetic and environmental influences may be implicated for this risk factor of cardiovascular disease. The aim of this study was to investigate the potential for common genetic and environmental influences on blood pressure measures ). The population-based sample was comprised of 309 Aggarwal Baniya families, including 1214 individuals from New Delhi, India. The prevalence of obesity in this community was found to be high. Correlation and (...) heritability were estimated. Most sibling–sibling correlations were larger than the parent–offspring correlations, and all parent–offspring and sibling–sibling correlations were larger than the corresponding spouse correlation. The maximum heritability was estimated as 44.6% for SBP and 62.8% for DBP. The lack of a significant spouse correlation is consistent with little or no influence of the common familial environment. However, the high heritability estimate for both SBP and DBPs reinforces the importance of the non-shared environmental effect. (shrink)

Background Previous analyses of democracy and population health have focused on broad measures, such as life expectancy at birth and child and infant mortality, and have shown some contradictory results. We used a panel of data spanning 170 countries to assess the association between democracy and cause-specific mortality and explore the pathways connecting democratic rule to health gains. -/- Methods We extracted cause-specific mortality and HIV-free life expectancy estimates from the Global Burden of Diseases, Injuries, and Risk Factors Study (...) 2016 and information on regime type from the Varieties of Democracy project. These data cover 170 countries and 46 years. From the Financing Global Health database, we extracted gross domestic product (GDP) per capita, also covering 46 years, and Development Assistance for Health estimates starting from 1990 and domestic health spending estimates starting from 1995. We used a diverse set of empirical methods—synthetic control, within-country variance decomposition, structural equation models, and fixed-effects regression—which together provide a robust analysis of the association between democratisation and population health. -/- Findings HIV-free life expectancy at age 15 years improved significantly during the study period (1970–2015) in countries after they transitioned to democracy, on average by 3% after 10 years. Democratic experience explains 22·27% of the variance in mortality within a country from cardiovascular diseases, 16·53% for tuberculosis, and 17·78% for transport injuries, and a smaller percentage for other diseases included in the study. For cardiovascular diseases, transport injuries, cancers, cirrhosis, and other non-communicable diseases, democratic experience explains more of the variation in mortality than GDP. Over the past 20 years, the average country's increase in democratic experience had direct and indirect effects on reducing mortality from cardiovascular disease (−9·64%, 95% CI −6·38 to −12·90), other non-communicable diseases (−9·14%, −4·26 to −14·02), and tuberculosis (−8·93%, −2·08 to −15·77). Increases in a country's democratic experience were not correlated with GDP per capita between 1995 and 2015 (ρ=–0·1036; p=0·1826), but were correlated with declines in mortality from cardiovascular disease (ρ=–0·3873; p<0·0001) and increases in government health spending (ρ=0·4002; p<0·0001). Removal of free and fair elections from the democratic experience variable resulted in loss of association with age-standardised mortality from non-communicable diseases and injuries. -/- Interpretation When enforced by free and fair elections, democracies are more likely than autocracies to lead to health gains for causes of mortality (eg, cardiovascular diseases and transport injuries) that have not been heavily targeted by foreign aid and require health-care delivery infrastructure. International health agencies and donors might increasingly need to consider the implications of regime type in their efforts to maximise health gains, particularly in the context of ageing populations and the growing burden of non-communicable diseases. (shrink)

Cardiovascular disease is a major complication of type 2 diabetes mellitus. In addition to traditional risk factors, psychological determinants play an important role in CVD risk. This study applied Deep Neural Network to develop a CVD risk prediction model and explored the bio-psycho-social contributors to the CVD risk among patients with T2DM. From 2017 to 2020, 834 patients with T2DM were recruited from the Department of Endocrinology, Affiliated Hospital of Harbin Medical University, China. In this (...) cross-sectional study, the patients' bio-psycho-social information was collected through clinical examinations and questionnaires. The dataset was randomly split into a 75% train set and a 25% test set. DNN was implemented at the best performance on the train set and applied on the test set. The receiver operating characteristic curve analysis was used to evaluate the model performance. Of participants, 272 were diagnosed with CVD. The developed ensemble model for CVD risk achieved an area under curve score of 0.91, accuracy of 87.50%, sensitivity of 88.06%, and specificity of 87.23%. Among patients with T2DM, the top five predictors in the CVD risk model were body mass index, anxiety, depression, total cholesterol, and systolic blood pressure. In summary, machine learning models can provide an automated identification mechanism for patients at CVD risk. Integrated treatment measures should be taken in health management, including clinical care, mental health improvement, and health behavior promotion. (shrink)

Epidemiological evidence supports a health‐promoting effect of the Mediterranean Diet (MedDiet), especially in the prevention of cardiovascular diseases. These cardiovascular benefits have been attributed to a number of components of the MedDiet such as monounsaturated fatty acids, antioxidant vitamins and phytochemicals. However, the underlying mechanisms remain unknown. Likewise, little is known about the genes that define inter‐individual variation in response to the MedDiet, although the TCF7L2 gene is emerging as an illustrative candidate for determining relative risk of (...) cardiovascular events in response to the MedDiet. Moreover, omics technologies are providing evidence supporting potential mechanisms, some of them implicating epigenetics (i.e. microRNAs, methylation), and certain data suggest that some traditional foods could contribute via microRNAs possibly acting as exogenous regulators of gene expression. Future research should aim at increasing and consolidating the nutrigenetic and nutrigenomic knowledge of the MedDiet in order to provide sound, personalized and optimized nutritional recommendations. (shrink)

The study of the autonomic nervous system (ANS) function has shown to provide useful indicators for risk stratification and early detection on a variety of cardiovascular pathologies. However, data gathered during different tests of the ANS are difficult to analyse, mainly due to the complex mechanisms involved in the autonomic regulation of the cardiovascular system (CVS). Although model-based analysis of ANS data has been already proposed as a way to cope with this complexity, only a few models (...) coupling the main elements involved have been presented in the literature. In this paper, a new model of the CVS, representing the ventricles, the circulatory system and the regulation of the CVS activity by the ANS, is presented. The models of the vascular system and the ventricular activity have been developed using the Bond Graph formalism, as it proposes a unified representation for all energetic domains, facilitating the integration of mechanic and hydraulic phenomena. In order to take into account the electro-mechanical behaviour of both ventricles, an electrophysiologic model of the cardiac action potential, represented by a set of ordinary differential equations, has been integrated. The short-term ANS regulation of heart rate, cardiac contractility and peripheral vasoconstriction is represented by means of continuous transfer functions. These models, represented in different continuous formalisms, are coupled by using a multi-formalism simulation library. Results are presented for two different autonomic tests, namely the Tilt Test and the Valsalva Manoeuvre, by comparing real and simulated signals. (shrink)

The study of the autonomic nervous system (ANS) function has shown to provide useful indicators for risk stratification and early detection on a variety of cardiovascular pathologies. However, data gathered during different tests of the ANS are difficult to analyse, mainly due to the complex mechanisms involved in the autonomic regulation of the cardiovascular system (CVS). Although model-based analysis of ANS data has been already proposed as a way to cope with this complexity, only a few models (...) coupling the main elements involved have been presented in the literature. In this paper, a new model of the CVS, representing the ventricles, the circulatory system and the regulation of the CVS activity by the ANS, is presented. The models of the vascular system and the ventricular activity have been developed using the Bond Graph formalism, as it proposes a unified representation for all energetic domains, facilitating the integration of mechanic and hydraulic phenomena. In order to take into account the electro-mechanical behaviour of both ventricles, an electrophysiologic model of the cardiac action potential, represented by a set of ordinary differential equations, has been integrated. The short-term ANS regulation of heart rate, cardiac contractility and peripheral vasoconstriction is represented by means of continuous transfer functions. These models, represented in different continuous formalisms, are coupled by using a multi-formalism simulation library. Results are presented for two different autonomic tests, namely the Tilt Test and the Valsalva Manoeuvre, by comparing real and simulated signals. (shrink)

The current study sought to assess the mediating role of green market orientation dimensions in the relationship between social risk and new product performance among European Multinational Enterprises (EMNEs). We also assessed the moderating role of entrepreneurial orientation in the relationship between green market orientation and new product performance. The study was based on primary data gathered from 317 EMNEs in Ghana. After various validity and reliability checks, ordinary least squares (OLS) analysis was performed to estimate the various relationships (...) hypothesized in the study. The study finds that social risk has a negative effect on the success of EMNEs' new products. This negative effect is however nullified by the positive mediating effects of strategic green market orientation, tactical green market orientation and internal green market orientation. Entrepreneurial orientation also played a significant moderating effect in the relationship between green market orientation dimensions and EMNEs' new product performance. Based on this, theoretical and managerial contributions were made. (shrink)

When people encounter potential hazards, their expectations and behaviours can be shaped by a variety of factors including other people's expressions of verbal likelihood. What is the impact of such expressions when a person also has numeric likelihood estimates from the same source? Two studies used a new task involving an abstract virtual environment in which people learned about and reacted to novel hazards. Verbal expressions attributed to peers influenced participants’ behaviour toward hazards even when numeric estimates were also available. (...) Namely, verbal expressions suggesting that the likelihood of harm from a hazard is low yielded more risk taking with respect to said hazard. There were also inverse collateral effects, whereby participants’ behaviour and estimates regarding another hazard in the same context were affected in the opposite direction. These effects may be based on directionality and relativity cues inferred from verbal likelihood expressions. (shrink)