In Western societies many immigrants live in difficult social and working conditions. Together with other factors, this state of affairs represents a risk for the well being of their children. This article will consider the principle risk factors for child psychopathology and/or distress, with a distinction between temporary and permanent factors and with a peculiar attention to the interplay between risk and protective factors. Risk factors can be ordered in cultural, social, (...) familiar/parental and individual factors. Some of these are general risk factors, applying to child and adolescent psychopathology and distress independently from the status of immigrants’ offspring. Other factors are specific of migration, some of them being related to: a) different ways of immigrated families to situate themselves within the host society ; b) cultural/familiar attitudes in child’s nurture and education; c) the family role of women as well as factors specific of the pregnancy period in immigrants; d) the ability of the school system to enhance and support children’s abilities to integrate within the new society; e) the political/bureaucratic facilitation/impediment to the regularization of VISA, with the consequent effect on the sense of identity/rejection within/from the host society. In conclusion, the programs for monitoring immigrants’ living and health conditions should also include: the assessment of parental skills, the dynamic indicators of risk and protection indexes, the assessment of living conditions and social school environment, with a careful attention to those early signs of discomfort that might precede possible later onset of psychopathology and/or social distress. (shrink)

Aphantasia is a condition characterised by a deficit of mental imagery. Since several psychopathologies are partially maintained by mental imagery, it may be illuminating to consider the condition against the background of psychological disorder. After outlining current findings and hypotheses regarding aphantasia and psychopathology, this paper suggests that some support for defining aphantasia as a lack of voluntary imagery may be found here. The paper then outlines potentially fruitful directions for future research into aphantasia in general and its relation to (...) psychopathology in particular, including rethinking use of the SUIS to measure involuntary imagery, whether aphantasia offers protection against addiction, and whether hyperphantasia is a potential risk factor for maladaptive daydreaming, among others. (shrink)

The article of Montecchi and Bufacchi is a very interesting and comprehensive analysis of the risk factors involved in the phenomenon of immigrant children. The condition of migrant involves several individual and relational changes, which form the basis for the development of psychopathology or a risky behaviour.

Background: Postoperative pneumonia is a preventable complication associated with adverse outcomes, that greatly aggravates the medical expenses of patients. The goal of our study is to identify risk factors and outcomes of postoperative pneumonia.

Postpartum depression is a major maternal health problem after childbirth. It can start at any time within the first year after delivery and continue for several years. It is characterized by an inability to experience pleasure, anxiety symptoms, panic attacks, spontaneous crying and depressed mood. Some women with postpartum depression even have thoughts of harming their child and self-harm. This study aims to find out the status of postpartum depression and the associated factors among postnatal mothers at the first, (...) fourth and sixth month. This study is a prospective descriptive study, carried out in three major health facilities in Misurata. This study consists of a three-part questionnaire. Part 1 covers the demographic characteristics of the participants, while Part 2 explores the associated risk factors according to the variables used. Part 3 consists of the psychological evaluation of the participants. A hundred mothers (ages between 15 and 43 years) were enrolled in this study. The findings revealed that the prevalence of depression is 60.0% and 22.0% are suffering from borderline depression. Development of depression was strongly correlated with sleeping disturbances, the state of the neonate after birth, excess consumption of stimulants, less weight acceptance by mothers during pregnancy and infant illness. There was a weak relation between depression and delivery state, maternal admission to the hospital during the current pregnancy, and infant gender dissatisfaction. No correlation was found with the development of depression regarding miscarriage, maternal medical problems after delivery, previous child sex, maternal age, education, parity or neonate weight. Thus, this study shows that the chance of having a miscarriage and an unhealthy neonate increases with advanced maternal age. It also shows that caesarean section is associated with bad neonatal outcomes, more weight gain and having gestational diabetes or preeclampsia during pregnancy. Maternal sleeping problems are more pronounced in the first month, attributed to the baby's care, compared with the fourth and sixth months. The study indicates that depression is a common state of psychiatric disorders among Libyan women and should have appropriate attention by physicians and gynecologists. (shrink)

Postpartum depression is a major maternal health problem after childbirth. It can start at any time within the first year after delivery and continue for several years. It is characterized by an inability to experience pleasure, anxiety symptoms, panic attacks, spontaneous crying and depressed mood. Some women with postpartum depression even have thoughts of harming their child and self-harm. This study aims to find out the status of postpartum depression and the associated factors among postnatal mothers at the first, (...) fourth and sixth month. This study is a prospective descriptive study, carried out in three major health facilities in Misurata. This study consists of a three-part questionnaire. Part 1 covers the demographic characteristics of the participants, while Part 2 explores the associated risk factors according to the variables used. Part 3 consists of the psychological evaluation of the participants. A hundred mothers (ages between 15 and 43 years) were enrolled in this study. The findings revealed that the prevalence of depression is 60.0% and 22.0% are suffering from borderline depression. Development of depression was strongly correlated with sleeping disturbances, the state of the neonate after birth, excess consumption of stimulants, less weight acceptance by mothers during pregnancy and infant illness. There was a weak relation between depression and delivery state, maternal admission to the hospital during the current pregnancy, and infant gender dissatisfaction. No correlation was found with the development of depression regarding miscarriage, maternal medical problems after delivery, previous child sex, maternal age, education, parity or neonate weight. Thus, this study shows that the chance of having a miscarriage and an unhealthy neonate increases with advanced maternal age. It also shows that caesarean section is associated with bad neonatal outcomes, more weight gain and having gestational diabetes or preeclampsia during pregnancy. Maternal sleeping problems are more pronounced in the first month, attributed to the baby's care, compared with the fourth and sixth months. The study indicates that depression is a common state of psychiatric disorders among Libyan women and should have appropriate attention by physicians and gynecologists. (shrink)

This study investigated the prevalence, perceived risk factors and effects of enuresis among school-age children in Nsukka local government area. The study adopted a descriptive cross-sectional survey research design with a population of 7,794 Junior Secondary Students within the age range of 9-12years in the study area. Multi-stage sampling technique was employed to select a sample of 820 students from 10 selected schools. A structured questionnaire was the instrument for data collection. The reliability of the questionnaire was 0.86 (...) Cronbach’s alpha showing a good internal consistency of the test items. Data were analysed using frequencies, percentages means and standard deviations. Findings showed that prevalence of bedwetting among the respondents was 17.8%, 14.6% among males and 24.4% among females. The prevalence of primary bedwetting was 12.7%, 5.0% experienced secondary bedwetting, 15.0% experienced nocturnal enuresis and 2.6% experienced diurnal bedwetting. Dreaming of urinating, drinking a lot of fluid before bed and cold weather were some of the risk factors of bedwetting identified by the respondents. Some of the effects of bedwetting identified by the respondents were that bedwetting children often smell bad and bedwetting makes children feel sad. Preventive, curative, hygiene management and reinforcement strategies for enuresis were identified by the respondents. It was concluded that bedwetting negatively affects children in such ways as making them have an offensive smell, sad feelings, mockery and loss of respect from friends. School authorities should therefore make out time within the school year, to create awareness and teach school children about enuresis to reduce the stigma and embarrassment they face. (shrink)

The objective of the research is to carry out a review of the literature about suicide risk factors in young university students. The methodology used is quantitative descriptive with a bibliometric approach, under the PRISMA method. The search was carried out in three databases: Clarivate Web of Science, MDPI and Taylor and Francis that had the variables of suicide risk factors. Inclusion criteria were used such as: study variables, years 2019 to 2022, published in Spanish and (...) English,scientific reports research results, research with clinical and non-clinical population. After the application of the Boolean operators, the total sample is (n=10360) and after screening with the PRISMA method (n=45). Results: The United States, followed by China and Bangladesh, are the countries that produce the most on the subject. The most frequent risk factors are: depression, anxiety, stress, academic commitments, lack of opportunities, low income and race. The students with the highest suicide rates are in the health area such as medicine and nursing, in addition, there is more suicide intent in women than in men. (shrink)

I argue that ductal carcinoma in situ (DCIS), the tumor most commonly diagnosed by breast mammography, cannot be confidently classified as cancer, that is, as pathological. This is because there may not be dysfunction present in DCIS—as I argue based on its high prevalence and the small amount of risk it conveys—and thus DCIS may not count as a disease by dysfunction-requiring approaches, such as Boorse’s biostatistical theory and Wakefield’s harmful dysfunction account. Patients should decide about treatment for DCIS (...) based on the risks it poses and the risks and benefits of treatment, not on its disease status. (shrink)

Anemia is a common health problem among Libyan women. Age, heavy menstruation, and pregnancy are vital risk factors for this problem. In this study, we prospectively examined 60 Libyan women all of which were diagnosed with iron deficiency anemia, their hemoglobin levels were less than 10.0 g/dl. The level of hemoglobin is also analyzed for vegetarian and charcoal-eating women. We found that during pregnancy charcoal-eating women exhibit lower hemoglobin levels than non-eating women. Pregnant young women in the age (...) of 17-27 years have the lowest hemoglobin levels than the other age groups. In addition, vegetarians, heavy coffee and tea drinking, and heavy menstruation in non-pregnant women, as well as breastfeeding, strongly lower hemoglobin levels as measured by their complete blood count. (shrink)

The world population is aging rapidly. Fear of falling among the elderly constitute a significant problem in health care. Among community-dwelling elderly, fear of falling is frequent, with prevalence ranging from 3% to 85% % in community-based epidemiologic studies. The aim of this review is to reveal the prevalence and risk factors of fear of falling (FOF) among elderly. The review has identified that age, sex, physical performance, comorbidity, a history of falls, hearing impairment, poor self-related health and (...) depressive symptoms affect fear of falling. The consequences that develop as a result of a fear of falling can include: loss of confidence, decreased quality of life, mobility or activity restriction and the development of deconditioning, leading to loneliness, depression, and anxiety, subsequent falls and physical, psychological and mental function declines. Maintenance of physical function and pain management might be important for older adults with fear of falling. (shrink)

This article assesses how autonomy and machine learning impact the existential risk of nuclear war. It situates the problem of cyber security, which proceeds by stealth, within the larger context of nuclear deterrence, which is effective when it functions with transparency and credibility. Cyber vulnerabilities poses new weaknesses to the strategic stability provided by nuclear deterrence. This article offers best practices for the use of computer and information technologies integrated into nuclear weapons systems. Focusing on nuclear command and control, (...) avoiding autonomy and machine learning is recommended as one means to reduce the existential risk of unintended nuclear conflict. (shrink)

In this issue of the Journal, Dundas et al. (Am J Epidemiol. 2014;180(2):197–207) apply a hitherto infrequent multilevel analytical approach: multiple membership multiple classification (MMMC) models. Specifically, by adopting a life-course approach, they use a multilevel regression with individuals cross-classified in different contexts (i.e., families, early schools, and neighborhoods) to investigate self-reported health and mental health in adulthood. They provide observational evidence suggesting the relevance of the early family environment for launching public health interventions in childhood in order to improve (...) health in adulthood. In their analyses, the authors distinguish between specific contextual measures (i.e., the association between particular contextual characteristics and individual health) and general contextual measures (i.e., the share of the total interindividual heterogeneity in health that appears at each level). By doing so, they implicitly question the traditional probabilistic risk factor epidemiology including classical “neighborhood effects” studies. In fact, those studies use simple hierarchical structures and disregard the analysis of general contextual measures. The innovative MMMC approach properly responds to the call for a multilevel eco-epidemiology against a widespread probabilistic risk factors epidemiology. The risk factors epidemiology is not only reduced to individual-level analyses, but it also embraces many current “multilevel analyses” that are exclusively focused on analyzing contextual risk factors. (shrink)

Abstract: Background: Coronary artery disease remains the leading cause of morbidity and mortality Worldwide. Previous reviews pointed that nursing interventions are beneficial for coronary artery patients. However, most interventions focused on education and counselling, but not consistent with the outcome set; still did not consider patient’s coronary artery disease risky characteristics. Related studies in China also difficult to find. Therefore this study was conducted to investigate kinds of nursing interventions delivered to coronary artery patients and match them with patient’s (...) class='Hi'>risk factors of coronary artery disease. Results of this study were expected to add new knowledge that will alert nurses to consider coronary artery risk factors which in turn might enable the development of appropriate approaches to improve patient’s wellbeing hence reduce frequent coronary artery morbidity and mortality. Methods: A descriptive, cross-sectional, retrospective design using clinical case notes was employed. Study was undertaken in coronary care wards at the teaching hospital in China from November 2017 to September 2018. Structured-literature supported self-designed questionnaire was utilized for data collection. Chi square (χ2) test and multivariate logistic regression for adjusted odds ratio with 95% confidence interval were used to compare the relationship among independent (patient’s risk coronary artery disease factors) and dependent (nursing interventions) categorical variables. Ethical permission was granted accordingly. Results: A total of 300 coronary artery patients’ case notes were audited with mean age 63±11.2 years. Of these 175 (58.3%) were males. 126(42%) were smoking and 224(74.7%) were hypertensive. More evidence based nursing interventions than education and counselling were found to be delivered to these patients. “Administer coronary artery disease medication and their instructions” was mostly delivered to many patients 291(97%) while “counsel to cope with stress” was the least one 60 (20.0%). Three of eight nursing interventions delivered significantly matched with three or all of these patient’s coronary artery risk variables (age, smoking, hypertension and diabetes) (p < 0.05 and/or < 0.01) with Adjusted odds ratio (95% CI) within their significant ranges. Conclusion: This study delivers valuable insight that, nurses in the studied teaching hospital delivered beneficial evidence based nursing interventions to patients with coronary artery disease which significantly matched with their risk factors of coronary artery illness. However, care for stress was low hence needs improvement. Furthermore, research is needed to get consistency of nursing interventions with patient’s end point clinical outcomes for further appraisal of nursing efforts in caring CAD patients . (shrink)

Most forms of human papillomavirus can create alterations on a woman's cervix that can lead to cervical cancer in the long run, while others can produce genital or epidermal tumors. Cervical cancer is a leading cause of morbidity and mortality among women in low- and middle-income countries. The prediction of cervical cancer still remains an open challenge as there are several risk factors affecting the cervix of the women. By considering the above, the cervical cancer risk factor (...) dataset from KAGGLE data warehouse is executed for predicting the cervical cancer risk classes. The cervical cancer data set is normalised with incomplete data and Pattern Calibration. Secondly, the interpretive data analysis is carried out, and the target feature's dispersion of the cervical cancer risk is visualised. Thirdly, several classifiers are fitted to the unprocessed data set, and the performance is measured with pre and post feature scaling. Fourth, oversampling methodologies are applied to the pre - processed data set. Fifth, the oversampled dataset by differment methods are applied to all the classifiers and the performance is compared with pre and post feature scaling. Sixth, Precision, recall, Fscore, accuracy, and running time are some of the metrics used in performance analysis. The code is written in Python and executed with Anaconda Navigator on the Spyder framework. The findings of the experiments reveal that the Random forest classifier tends to sustain 96% accuracy pre and post scaling for unporocessed dataset. Similarly the same classifier tends to sustain 98% accuracy for all the oversampling techniques. (shrink)

The EU Artificial Intelligence Act (AIA) defines four risk categories for AI systems: unacceptable, high, limited, and minimal. However, it lacks a clear methodology for the assessment of these risks in concrete situations. Risks are broadly categorized based on the application areas of AI systems and ambiguous risk factors. This paper suggests a methodology for assessing AI risk magnitudes, focusing on the construction of real-world risk scenarios. To this scope, we propose to integrate the AIA (...) with a framework developed by the Intergovernmental Panel on Climate Change (IPCC) reports and related literature. This approach enables a nuanced analysis of AI risk by exploring the interplay between (a) risk determinants, (b) individual drivers of determinants, and (c) multiple risk types. We further refine the proposed methodology by applying a proportionality test to balance the competing values involved in AI risk assessment. Finally, we present three uses of this approach under the AIA: to implement the Regulation, to assess the significance of risks, and to develop internal risk management systems for AI deployers. (shrink)

International regulation of autonomous weapon systems (AWS) is increasingly conceived as an exercise in risk management. This requires a shared approach for assessing the risks of AWS. This paper presents a structured approach to risk assessment and regulation for AWS, adapting a qualitative framework inspired by the Intergovernmental Panel on Climate Change (IPCC). It examines the interactions among key risk factors—determinants, drivers, and types—to evaluate the risk magnitude of AWS and establish risk tolerance thresholds (...) through a risk matrix informed by background knowledge of event likelihood and severity. Further, it proposes a methodology to assess community risk appetite, emphasizing that such assessments and resulting tolerance levels should be determined through deliberation in a multistakeholder forum. The paper highlights the complexities of applying risk-based regulations to AWS internationally, particularly the challenge of defining a global community for risk assessment and regulatory legitimization. (shrink)

Scientific sources demonstrate different attitudes of researchers to cryptocurrencies because they treat them as a category of currency, virtual money, commodity, etc. Accordingly, the relation to the valuation and risk of cryptocurrency as an investment object is different. The purpose of the article is to identify cryptocurrency value formation factors and determine the risks of investing in cryptocurrency. Cryptocurrency is simultaneously considered a currency, an asset with uncertain income, and a specific product, the price of which is determined (...) by the energy costs for mining new cryptocurrency blocks. Thus, the paper examines the risks of investing in cryptocurrency from several positions. First, the study identifies the factors of formation of the value and risk of cryptocurrency as ordinary money based on comparing cryptocurrency with traditional money. Unlike traditional money, cryptocurrency is not tied to the economic performance of a particular country; also, central banks do not control or regulate their mining. Instead, the cryptocurrency emissions depend on the computational capacity of the equipment used for their mining. As a financial asset, cryptocurrency can be a “financial bubble” because their value increasing often exceeds the cost of mining. On the other hand, given the emergence of cryptocurrency as a phenomenon of the information economy, the paper analyses the impact of specific technical features (cryptographic hashing algorithm, the complexity of creating new blocks, the technology of verification of mining operations, etc.) on the risk of investing in cryptocurrency assets. (shrink)

Prior research has demonstrated that antisocial behavior, substance-use disorders, and personality dimensions of aggression and impulsivity are indicators of a highly heritable underlying dimension of risk, labeled externalizing. Other work has shown that individual trait constructs within this psychopathology spectrum are associated with reduced self-monitoring, as reflected by amplitude of the error-related negativity (ERN) brain response. In this study of undergraduate subjects, reduced ERN amplitude was associated with higher scores on a self-report measure of the broad externalizing construct that (...) links these various indicators. In addition, the ERN was associated with a response-locked increase in anterior theta (4–7 Hz) oscillation; like the ERN, this theta response to errors was reduced among high-externalizing individuals. These findings suggest that neurobiologically based deficits in endogenous action monitoring may underlie generalized risk for an array of impulse-control problems. (shrink)

Which risks are bad? This is not an easy question to answer in any non-circular way. Not only are risks sought out for various reasons, but risks are plainly discounted in many situations. What may seem "risky" when examined all by itself, may not seem risky when encountered in a real lived situation. Thus risks that are imposed by others, in particular, might seem horrendous when considered in abstraction, but quite acceptable when encountered in life. What we need to do, (...) among other things, is to examine this "seeming." Are people being deluded or distracted when they fail to take seriously the riskiness of activities undertaken by others, or does this make some rational sense? There can be no doubt that people sometimes are deluded, of course. We are all fallible. But risks are not unalloyed evils. They are typically taken because of their association with something positive. So questions about whether people are making wise judgments when they don’t care about certain risks that they take, or, on the other side of the coin, when they become absolutely hysterical when confronted with a risk that appears to others to be insignificant, hinge on a web of further factors. (shrink)

This study identifies global factors conditioning the global problematics of the direction of social development. Global threats were evaluated and defined as dangerous processes, phenomena, and situations that cause harm to health, safety, well-being, and the lives of all humanity, and require removal. The essence of global risks was defined. These risks were defined as events or conditions that may cause a significant negative effect for several countries or spheres within a strategic period if they occur. Global problems were (...) conceptualized. These problems were defined as phenomena, matters, and situations that are not completely understandable, interesting, actual, require solving and regulation, and in addition do not have unified solutions. Current global challenges were analyzed, defined as strategic guidelines that cause transformational changes and are receiving attention from humanity. Global trends were defined as courses of social development. The composition and role of global actors were described, and defined as international organizations, leading states, regional organizations, powerful corporations, institutional investors, large cities, and well-known personalities. The directions of positive courses of social development were developed by means of using the authors’ mechanism of solving the global problematics. (shrink)

There has been a movement aiming to teach agents about their privilege by making the information about their privilege as costless as possible. However, some argue that in risk-sensitive frameworks, such as Lara Buchak’s (2013), it can be rational for privileged agents to shield themselves from learning about their privilege, even if the information is costless and relevant. This threatens the efficacy of these information-access efforts in alleviating the problem of elite-group ignorance. In response, I show that even within (...) the same framework, in this case David Kinney and Liam Kofi Bright’s (2021), the rationality of this information avoidance rests on shaky ground in practice. In this framework, whether an agent should avoid information depends on the precise details of (1) how relevant they expect the information to be, (2) their priors about the value of various options, and (3) their risk attitudes. The model suggests that the rationality of elite-group ignorance is a function of structural factors that are pervasive but nonetheless not insurmountable, thus offering a way out of pessimism about elite group education. (shrink)

Background and objectives: Bangladesh has the highest malnutrition rates in the world. The main objective of this study is to identify and determine the main factors for child malnutrition among children under the age 5 years in rural Bangladesh. -/- Material and methods: This research was conducted in rural areas at Meherpur district in Bangladesh. Convenience sampling method is used and 85 under 5 child information is collected through a structured questionnaire. The information’s of child’s are gathered from the (...) mothers of the child. Malnourished children is measured by using APLS method and WHO Child Growth Standard Median Index. Binary logistic regression model is used to find out the key factors of malnutrition. -/- Results: It is found that family income, maintain proper diet during pregnancy period, proper diet maintain for children have negative significant (p<0.05) effect on child malnutrition. -/- Conclusion: The magnitude of the child’s malnutrition still is of great concern in Bangladesh. Since, poverty, imbalanced diet during pregnancy period and imbalanced diet for under 5 children influences to malnutrition are significantly associated with high prevalence of malnutrition, so government and people should reduce these factor to reduce malnutrition in rural area of Bangladesh. (shrink)

Psychiatry has witnessed a new wave of approaches to clinical phenotyping and the study of psychopathology, including the National Institute of Mental Health’s Research Domain Criteria, clinical staging, network approaches, the Hierarchical Taxonomy of Psychopathology, and the general psychopathology factor, as well as a revival of interest in phenomenological psychopathology. The question naturally emerges as to what the relationship between these new approaches is – are they mutually exclusive, competing approaches, or can they be integrated in some way and used (...) to enrich each other? In this opinion piece, we propose a possible integration between clinical staging and phenomenological psychopathology. Domains identified in phenomenological psychopathology, such as selfhood, embodiment, affectivity, etc., can be overlaid on clinical stages in order to enrich and deepen the phenotypes captured in clinical staging (‘high resolution’ clinical phenotypes). This approach may be useful both ideographically and nomothetically, in that it could complement diagnosis, enrich clinical formulation, and inform treatment of individual patients, as well as help guide aetiological, prediction, and treatment research. The overlaying of phenomenological domains on clinical stages may require that these domains are reformulated in dimensional rather than categorial terms. This integrative project requires assessment tools, some of which are already available, that are sensitive and thorough enough to pick up on the range of relevant psychopathology. The proposed approach offers opportunities for mutual enrichment: clinical staging may be enriched by introducing greater depth to phenotypes; phenomenological psychopathology may be enriched by introducing stages of severity and disorder progression to phenomenological analysis. (shrink)

Risk Management Strategies and Investment Behaviors are considered important factors in the investing activities of the retail investors. This study seeks to determine the relationship between Risk Management Strategies and Investment Behavior of Generation Z retail investors. The study is a correlational research and purposive sampling was used to select the respondents for this study. Cochran’s formula was utilized to determine the total sample size or total number of respondents. Spearman’s Rank-Order Correlation was employed to assess the (...) significant relationship of Risk Management Strategies and Investment Behaviors. Based on the results, it showed that risk management strategies have a significant relationship with one or more of the investment behaviors. Risk avoidance has a significant relationship with confirmation bias. Risk reduction has a significant relationship with all of the investment behaviors such as overconfidence, loss-aversion, recency bias, and confirmation bias. Risk transfer shows a significant relationship with only loss-aversion and confirmation bias. And lastly, risk acceptance also has a significant relationship with all of the investment behaviors. This study recommends exploring other types of behavioral biases under cognitive bias and emotional bias to determine their correlation with risk management strategies. Also, broadening the sample size, demographic scope, and geographic scope of the study can improve the generalizability of the study and provide a more comprehensive understanding of the relationship between investment behavior and risk management strategies. The researchers also recommend to utilize interviews and focus group discussions to gain an in-depth understanding of the underlying values and attitudes concerning investment behavior. (shrink)

In this paper, we distinguish between different sorts of assessments of algorithmic systems, describe our process of assessing such systems for ethical risk, and share some key challenges and lessons for future algorithm assessments and audits. Given the distinctive nature and function of a third-party audit, and the uncertain and shifting regulatory landscape, we suggest that second-party assessments are currently the primary mechanisms for analyzing the social impacts of systems that incorporate artificial intelligence. We then discuss two kinds of (...) as-sessments: an ethical risk assessment and a narrower, technical algo-rithmic bias assessment. We explain how the two assessments depend on each other, highlight the importance of situating the algorithm within its particular socio-technical context, and discuss a number of lessons and challenges for algorithm assessments and, potentially, for algorithm audits. The discussion builds on our team’s experience of advising and conducting ethical risk assessments for clients across dif-ferent industries in the last four years. Our main goal is to reflect on the key factors that are potentially ethically relevant in the use of algo-rithms, and draw lessons for the nascent algorithm assessment and audit industry, in the hope of helping all parties minimize the risk of harm from their use. (shrink)

Recently, there have been calls to develop a more contextual approach to phenomenological psychopathology—an approach that attends to the socio-cultural as well as personal and biographical factors that shape experiences of mental illness. In this Perspective article, we argue that to develop this contextual approach, phenomenological psychopathology should adopt a new paradigm case. For decades, schizophrenia has served as the paradigmatic example of a condition that can be better understood through phenomenological investigation. And recent calls for a contextual approach (...) continue to use schizophrenia as their primary example. We argue, in contrast, that substance misuse provides a better paradigm case around which to develop a contextually sensitive phenomenological psychopathology. After providing a brief vignette and analysis of a case of substance misuse, we explain why this kind of condition requires considerable sensitivity and attention to context, better motivating the incorporation and development of new contextually sensitive approaches. (shrink)

Abstract: This research focuses on utilizing Artificial Neural Networks (ANNs) to predict Audit Risk accurately, a critical aspect of ensuring financial system integrity and preventing fraud. Our dataset, gathered from Kaggle, comprises 18 diverse features, including financial and historical parameters, offering a comprehensive view of audit-related factors. These features encompass 'Sector_score,' 'PARA_A,' 'SCORE_A,' 'PARA_B,' 'SCORE_B,' 'TOTAL,' 'numbers,' 'marks,' 'Money_Value,' 'District,' 'Loss,' 'Loss_SCORE,' 'History,' 'History_score,' 'score,' and 'Risk,' with a total of 774 samples. Our proposed neural network architecture, (...) consisting of three layers (1 input, 1 hidden, and 1 output), forms the core of this study. While it may seem simple, the power of ANNs lies not in complexity but in their ability to uncover intricate data patterns. The model underwent rigorous training and validation, resulting in remarkable outcomes—an accuracy of 100% and an average error rate of 0.000015. In addition to performance metrics, our research investigates feature importance, revealing the key contributors to Audit Risk prediction. Notably, 'Sector_score,' 'PARA_A,' 'SCORE_A,' 'PARA_B,' 'SCORE_B,' 'TOTAL,' 'numbers,' 'marks,' 'Money_Value,' 'District,' 'Loss,' 'Loss_SCORE,' 'History,' and 'History_score' emerged as the most influential factors, shedding light on the elements crucial for precise risk assessment. This study advances Audit Risk prediction models and highlights the potential of ANNs in strengthening financial system integrity and fraud prevention. The insights gained from our findings offer practical guidance for stakeholders in the audit and financial sectors. (shrink)

Many healthcare practices expose people to risks of harmful outcomes. However, the major theories of moral philosophy struggle to assess whether, when and why it is ethically justifiable to expose individuals to risks, as opposed to actually harming them. Sven Ove Hansson has proposed an approach to the ethical assessment of risk imposition that encourages attention to factors including questions of justice in the distribution of advantage and risk, people’s acceptance or otherwise of risks, and the scope (...) individuals have to influence the practices that generate risk. This paper investigates the ethical justifiability of preventive healthcare practices that expose people to risks including overdiagnosis. We applied Hansson’s framework to three such practices: an ‘ideal’ breast screening service, a commercial personal genome testing service, and a guideline that lowers the diagnostic threshold for hypertension. The framework was challenging to apply, not least because healthcare has unclear boundaries and involves highly complex practices. Nonetheless, the framework encouraged attention to issues that would be widely recognised as morally pertinent. Our assessment supports the view that at least some preventive healthcare practices that impose risks including that of overdiagnosis are not ethically justifiable. Further work is however needed to develop and/or test refined assessment criteria and guidance for applying them. (shrink)

Risk assessment is one of the prerequisites for understanding its causes and possible consequences. We base our risk assessment on the principles described in the European standard EN 31000 - Risk Management Process. This standard comprehensively describes the continuous activities that are necessary in managing risks and minimizing their possible adverse effects on the operation of the system under investigation. In this activity, it is necessary to first identify the existing risks, then analyze and evaluate the identified (...) risks. In the analysis of existing risks, it is possible to use both qualitative and quantitative analytical methods, or combine them. We use qualitative methods in cases where we do not have a sufficient amount of input information, these are more subjective. Quantitative methods are more accurate, but also more demanding on input information and time. The choice of a suitable analytical method is a basic prerequisite for knowledge of risks and their evaluation. The values of individual risks obtained in this way are the basis for determining the measures that are ecessary to minimize them, i.e., to adjust them to an acceptable level. The draft measures are always based on the value of the individual components used to calculate the risk number, as well as on the value of the asset , which needs to be protected. Appropriately chosen analytical methods are one of the basic prerequisites for the consistent application of the principles of risk management, as a continuous process aimed at increasing the overall security of the system under study. In the article, the author describes the procedures used in risk assessment, as well as specific analytical methods that can be used in working with risks. The aim of identifying risk factors is to create a list of events that could cause undesirable disruption to ongoing processes. At this stage, we define all the risks that will be subsequently analyzed and evaluated. When identifying, we can use methods such as, e.g. SWOT, PHA (Preliminary Hazard Analysis) or CA (Checklist Analysis). Methods suitable for determining the causes and creating scenarios for the course of a risk event are ETA (Event Tree Analysis) or FTA (Fault Tree Analysis). The basic analysis of the system can be performed using the FMEA method (Failure Mode and Effect Analysis), which provides a numerical risk assessment. By comparison with the numerical value of the risk that we are willing to accept, we obtain 2 groups of risks. Acceptable, which will be given regular attention and unacceptable, which we will focus on in risk management and we will try to minimize its negative affect on the functioning of the system under study. (shrink)

This paper reviews factors influencing Vietnamese youth’s adoption of Fintech, including technology access, perceived usefulness, government support, and financial literacy. While the Vietnamese government has promoted Fintech expansion through financial inclusion strategies and supportive regulations, gaps in financial education remain. Youth engagement with Fintech is shaped by ease of use, user innovativeness, and social influence, though financial risk concerns limit adoption. For sustained growth, focused financial literacy programs and regulatory improvements are essential to unlock Fintech’s potential for economic (...) development and financial inclusion among Vietnamese youth. (shrink)

Existential risks threaten the future of humanity, but they are difficult to measure. However, to communicate, prioritize and mitigate such risks it is important to estimate their relative significance. Risk probabilities are typically used, but for existential risks they are problematic due to ambiguity, and because quantitative probabilities do not represent some aspects of these risks. Thus, a standardized and easily comprehensible instrument is called for, to communicate dangers from various global catastrophic and existential risks. In this article, inspired (...) by the Torino scale of asteroid danger, we suggest a color coded scale to communicate the magnitude of global catastrophic and existential risks. The scale is based on the probability intervals of risks in the next century if they are available. The risks’ estimations could be adjusted based on their severities and other factors. The scale covers not only existential risks, but smaller size global catastrophic risks. It consists of six color levels, which correspond to previously suggested levels of prevention activity. We estimate artificial intelligence risks as “red”, while “orange” risks include nanotechnology, synthetic biology, full scale nuclear war and a large global agricultural shortfall (caused by regional nuclear war, coincident extreme weather, etc.) The risks of natural pandemic, supervolcanic eruption and global warming are marked as “yellow” and the danger from asteroids is “green”. -/- Keywords: global catastrophic risks; existential risks; Torino scale; policy; risk probability . (shrink)

The COVID-19 pandemic is a major global challenge. There are several risk factors associated with mortality in patients with COVID-19, including age, gender, diabetes mellitus, cerebrovascular, cardiovascular, and pulmonary diseases. Among these factors, patients with cardiovascular disease, diabetes mellitus, and obesity have the highest mortality rates. This paper aims to review how adjusting food and nutrition can help reduce the risk of obese patients contracting COVID-19. Various literature sources were examined, including studies on the genetics of (...) obesity and the consequences it can have, such as diabetes, heart and vascular diseases, cancer, trauma, and infection. Consequently, the role of nutrition in reducing the risk of obese patients being exposed to COVID-19 was described. It is recommended that obese patients strictly adhere to a diet that includes adequate and balanced food intake in order to reduce their risk of contracting COVID-19. (shrink)

The guide explains the basic concepts of natural, social and evolutionary components and methods of risk management and control of modern biotechnologies stemming from the general theory of human evolution. A a transdisciplinary approach is a feature of the presentation of the material The risk is considered from the point of view of evolutionary anthropology, as a basic element of a stable evolutionary strategy of our biological species and the basis of a combination of natural-scientific and humanitarian forms (...) of presentation and interpretation of the material. CONTENT BIOSAFETY AND BIOETHICS IN BIOTECHNOLOGY (Introduction). Part 1. BIOTECHNOLOGY AS A FACTOR OF EVOLUTION AND A SOURCE OF TECHNOGENIC RISK. Chapter 1. GENERAL THEORY OF TECHNOLOGICAL RISK. Chapter 2. RISK AS AN ATTRIBUTE OF STABLE HUMAN EVOLUTIONARY STRATEGY. Chapter 3. BIOTECHNOLOGY AS A SOURCE OF BIORISKS Chapter 4. COMPONENTS OF THE "BIOLOGICAL FACTOR" OF RISK. Chapter 5. BIOLOGICAL WEAPONS and BIOTERRORISM. Part 2. BIOLOGICAL, SOCIAL AND EVOLUTIONARY COMPONENTS OF THE RISK OF MODERN BIOTECHNOLOGIES Chapter 6. RISK MANAGEMENT DURING BIOTECHNOLOGICAL RESEARCH.. Chapter 7. BIOTECHNOLOGY AS A SOURCE OF SOCIAL INSTABILITY. Chapter 8. BIOTECHNOLOGY AS A SOURCE OF CIVILIZATIONAL RISK. -/- . (shrink)

The moral importance of liability to harm has so far been ignored in the lively debate about what self-driving vehicles should be programmed to do when an accident is inevitable. But liability matters a great deal to just distribution of risk of harm. While morality sometimes requires simply minimizing relevant harms, this is not so when one party is liable to harm in virtue of voluntarily engaging in activity that foreseeably creates a risky situation, while having reasonable alternatives. On (...) plausible assumptions, merely choosing to use a self-driving vehicle typically gives rise to a degree of liability, so that such vehicles should be programmed to shift the risk from bystanders to users, other things being equal. Insofar vehicles cannot be programmed to take all the factors affecting liability into account, there is a pro tanto moral reason not to introduce them, or restrict their use. (shrink)

BACKGROUND: In today’s world of increased awareness regarding the concepts of corporate social responsibility (CSR) and corporate governance (CG), many firms in the developed countries consider noncompliance with CSR and CG standards as an important source of risk to their reputations with stakeholders. OBJECTIVE: The aim of this study is to investigate the relationship between the corporate social responsibility disclosure (CSRD) index and corporate factors, namely, board size, board independence, board meetings, CEO duality, a firm’s size, leverage, profitability (...) and age. This is the first known study in the case of Saudi Arabia to use the GRI 4th edition indicators to construct the CSRD index and evaluate Saudi listed firms. Results: The results show that profitability and size factor have positive and significant association with CSR disclosure in listed Saudi firms. While CG characteristics have no impact on CSR disclosure except board independence which has a negative impact. Conclusion: The average of CSRD index among Saudi firms is too low, it is about 11% that means Saudi firms disclose 11% of the information that they have to provide for stockholders according to GRI guidelines. Furthermore, the study concludes that the most polluted sectors “Ener. (shrink)

The present study aims to build a thorough understanding and causes of terrorism. It discusses probable psychological and sociological factors for terrorist activities. Paper elaborates the presence of psychopathologies and cultural influences that harbor mindsets of terrorist individuals. It also highlights the relationship between religion and violence and elaborates the impact of media and its role for terrorism. The identification of psycho-social factors linked with terrorism and violence serve as a way to better understand the phenomenon. This is (...) likely to promote peace, harmony, and love in Nigerian societies. (shrink)

This investigation focused on relationships among sexual assault, self-blame, and sexual revictimization. Among a female undergraduate sample of adolescent sexual assault victims, those endorsing greater self-blame following sexual assault were at increased risk for sexual revictimization during a 4.2-month follow-up period. Moreover, to the extent that sexual assault victims perceived nonconsensual sex is permitted by law, they were more likely to blame themselves for their own assaults. Discussion focuses on situating victim-based risk factors within sociocultural context.

The coronavirus pandemic, like its predecessors - AIDS, Ebola, etc., is evidence of the evolutionary instability of the socio-cultural and ecological niche created by mankind, as the main factor in the evolutionary success of our biological species and the civilization created by it. At least, this applies to the modern global civilization, which is called technogenic or technological, although it exists in several varieties. As we hope to show, the current crisis has less ontological as well as epistemological roots; its (...) reason lies in the main evolutionary trends in the development of science as a social institution. It was only later that epistemological factors were transformed into existential-ontological factors associated with the asymmetry of the existence of civilization and our biosocial nature. The perception or ignorance of a risk factor as a real fact is determined by the presence or absence of knowledge about it. In other words, risk is the result of the integration of the corresponding ontological concept into the general categorical structure. The plurality of such structures is a hallmark of multidisciplinary ontologies, each of which is associated with its own factual continuum. The aim of this study was to conceptually model for support relativistic parameter of evolutionary efficiency of stable evolutionary human strategy (SESH) in its techno-rationalistic module. The meaning of this term is equivalent to the category of scientific and technological development. (shrink)

The world's leading cause of morbidity and death is cardiovascular diseases (CVD), which makes early detection essential for successful treatments. This study investigates how optimization techniques can be used with machine learning (ML) algorithms to forecast cardiovascular illnesses more accurately. ML models can evaluate enormous datasets by utilizing data-driven techniques, finding trends and risk factors that conventional methods can miss. In order to increase prediction accuracy, this study focuses on adopting different machine learning algorithms, including Decision Trees, Random (...) Forest, Support Vector Machines, and Neural Networks, that have been tuned using strategies including hyper parameter selection, crossvalidation, and feature selection. (shrink)

Abstract: Microfinance Institutions (MFIs) are the financial services established for the specific target to enabling community, particularly poor people to access loans having lack of access to conventional banking and related services. Worldwide the sector started since 1770’s. In Tanzania, it kicked off in 1991 after the enactment of BFIA and SACCOS Act in 1991. This research was conducted in Singida District in 2018 comprising a sample size of 88 respondents from ten SACCOS. Both qualitative and quantitative data were collected. (...) The study employed case study method intended to assess the factors that affect the growth of Micro-finance Institutions in Tanzania. The study found that the growth of MFIs is affected by the following factors; Capacity in managing finances and loans and adhering to financial policies and guidelines. Others include competent personnel, appropriate training to key staff, loan follow up, corruption, and access of members to business training. Similarly, the availability of Technical support to SACCOS, Availability of sources of Business Capital, Level of knowledge on sustainability, Risk management, Training related to the members, challenges of business competition, Macroeconomic factors including inflation, Financial Sector Reforms and Development of Microfinance Policy, affect MFIs. Further the study found that the challenges affecting the performance of the growth of MFIs are within the capacity of the MFIs stakeholders. Henceforth, the study urges all stakeholders to play a pertinent role to enhance effective performance of MFIs. (shrink)

Aim: Low professional help-seeking intention (PHSI) hinders effective treatment of mental illness. PHSI among Chinese students is still understudied and under-recognized. This study aimed to evaluate the status of PHSI and its associated risk factors among Chinese medical students. -/- Methods: A cross-sectional survey was conducted in Hainan province, South China, between January 1, 2021, and May 31, 2021. A total of 2182 medical students were recruited and surveyed via an anonymous structured questionnaire. Logistic regression analyses were performed (...) to identify the factors associated with PHSI. -/- Results: Among the 2182 medical students (mean age 21.0 years (SD = 3.70), 61.5% females), those with and without PHSI were 72.0% and 28.0%, and 16.4% with moderate to severe depression. Male students, those with a high level of depression stigma, serious family dysfunction, and heavy dependence on mobile phones were significantly less likely to seek professional mental health help, with odds ratios (ORs) of 1.5, 2.0, 2.1, and 1.7, respectively. -/- Conclusion: A significant proportion of Chinese medical students demonstrate low PHSI, influenced by factors such as gender, depression stigma, family dysfunction, and mobile phone dependence. Future interventions aimed at increasing medical students’ PHSI should prioritize reducing depression stigma, mitigating reliance on mobile phone use, and enhancing family function to address these key barriers to seeking professional mental health support. (shrink)

In the context of Ukraine’s membership in the WTO, the functioning of a free trade area with the EU, the opportunity for agricultural producers to obtain a larger share of the value added is primarily linked to the intensification of trade in domestic livestock products and their processing products. However, their production is one of the high-risk areas and requires a set of measures aimed at ensuring proper quality. Without effective solution of the problem of quality of livestock products (...) it is impossible to ensure its competitiveness in the world market, to guarantee the rational nutrition of the population of the country, the availability of the necessary components for the vital activity of the human body. The aim of the research is to determine the socio-economic factors for ensuring the quality of livestock products in Ukraine. The scientific and specific research methods were used to solve the tasks set in the work: the historical method; abstraction method; method of comparative analysis; system-structural method. The main producer of livestock products in Ukraine are households. They do not have the capabilities to implement technologies of keeping, feeding, veterinary services, programs prerequisites for guaranteeing the safety of products, adherence to the HACCP principles. In Ukraine, real technical, economic and organizational-economic prerequisites for ensuring the safety and quality of livestock products are created only in the poultry meat sector. During 2015-2017, the trends in production of almost all types of livestock products except poultry and honey were identified. One of the reasons for this situation was, firstly, decreasing in capital investment in the livestock sector, and secondly, the low profitability of production of livestock products in the context of accelerated growth in prices for resources. It is proved that insignificant market (price) incentives should be supplemented with instruments of state assistance to improve the quality parameters of products on the basis of specialized enterprises. The necessity of state support for the production of livestock products based on small and medium-sized enterprises is substantiated. This will effectively combine the processes of increasing the production of livestock products with the environmental friendliness of production and steady improvement of quality. It is shown that the low quality of certain livestock products in Ukraine is caused by insufficient living standards of the population and low incomes of the majority of households, which cause them to consume low quality products. It is determined that the problem of guaranteeing the quality of livestock products in Ukraine has deep roots cause due to the influence of socio-economic factors. Therefore, a comprehensive approach is needed to solve it, which is not limited to improving the efficiency of the state control system and successfully harmonizing of the Ukrainian technical regulation system with the European one. The problem of low quality and the danger of livestock production requires a systematic approach for its solution, which is not limited, in particular, by measures to improve the system of state control and ensure approximation of the domestic technical regulation system to the European one. In Ukraine, major high-quality animal products are economically inaccessible to a large part of households. The projected increase in safety parameters and a certain improvement in the quality of livestock products as a result of the implementation of regulations adopted in 2014-2017, will necessarily lead to an increase in its value, and therefore may lead to a decrease in market demand and even greater inaccessibility of these products to people. All this can only aggravate the situation with guaranteeing the food security of the country, forming the prerequisites for increasing the intellectual capacity of the nation. (shrink)

Despite small and medium enterprises (SMEs) being numerically predominant and the most vulnerable role players in the economy of many countries, little research has been conducted on risk management and sustainability of SMEs operating in the Fast Moving Consumer Goods (FMCG) sector of South Africa. This study fills this knowledge gap by investigating the extent to which risk management processes of SMEs operating in the FMCG sector of South Africa incorporate a robust analysis of sustainability factors. We (...) achieve this by distributing questionnaires to a sample of 320 FMCG SMEs in the Cape Metropolitan area. Qualitative data were gathered by interviewing two risk experts to validate the quantitative data gathered through a survey questionnaire. The results show that the risk management processes of FMCG SMEs do not incorporate a robust analysis of the components of sustainability, negatively affecting their survival. Apart from filling the knowledge gap, the study has also significant implications for FMCG SME owner-managers and policymakers while revealing future research avenues. (shrink)

Some experts have argued that patients should routinely be told the specific magnitude and absolute probability of potential risks and benefits of screening tests. This position is motivated by the idea that framing risk information in ways that are less precise violates the ethical principle of respect for autonomy and its application in informed consent or shared decisionmaking. In this Perspective, we consider a number of problems with this view that have not been adequately addressed. The most important challenges (...) stem from the danger that patients will misunderstand the information or have irrational responses to it. Any initiative in this area should take such factors into account and should consider carefully how to apply the ethical principles of respect for autonomy and beneficence. (shrink)

The current ethical and regulatory framework for research is often charged with burdening investigators and impeding socially valuable research. To address these concerns, a growing number of research ethicists argue that informed consent should be adapted to the risks of research participation. This would require less rigorous consent standards in low-risk research than in high-risk research. However, the current discussion is restricted to cases of research in which the risks of research participation are outweighed by the potential clinical (...) benefits for the individual research participant. Furthermore, current proposals do not address the worry that risk-adapted informed consent may result in enrolling participants into research without their autonomous authorization. In this paper, we show how the standard view of informed consent – consent as autonomous authorization – can be adapted to risk even when the research does not have a favourable risk-benefit profile for the participant. Our argument has two important implications: first, it implies that current and proposed consent standards are not adequately calibrated to risk and, second, that consent standards also need to be adapted to factors other than risk. (shrink)

Objective: The aim of this study was to compare the cervical posture, sleep quality, and perceived health risk of technology-addicted adolescents, young adults and their controls. -/- Methods: Adolescents and young-adults participants (n=160) were divided into four groups as addicted and non-addicted according to their age and Technology Addiction Scale scores. Cervical posture assessments were obtained by photographic analysis. Craniovertebral (CVA), craniohorizontal (CHA) and sagittal shoulder angle (SSA) values were recorded. Sleep quality was assessed with the Pittsburg Sleep Quality (...) Scale. Participants' Perceived Health Risk was evaluated with a single-item, five-point Likert questionnaire. -/- Results: The addicted participants had worse CVA than both their controls (p=0.000). Participants' CHA and SSA angles were similar in addicted groups (p=0.710 and p=0.612, respectively). Addicted adolescents had worse sleep quality than addicted young-adults (p=0.005). Perceived Health Risk is low level in all groups and there were no significant differences (p=0.055). -/- Conclusion: Technology addiction affects the adolescent group more negatively than the young-adults. In the sample of adolescents and young-adults, individuals did not perceive excessive use of technological tools as a risk factor for their health. The degradation of CVA due to overuse of technological tools precedes the degradation of CHA and SSA. This can be explained by the fact that CVA is a more general angle that includes both the head- neck position and the vertebrae. It is necessary for public health and future health expenditures to educate and raise awareness of the more vulnerable adolescent group. (shrink)

Abstract: This research employs a Random Forest classification model to predict and assess obesity and cardiovascular disease (CVD) risk based on a comprehensive dataset collected from individuals in Mexico, Peru, and Colombia. The dataset comprises 17 attributes, including information on eating habits, physical condition, gender, age, height, and weight. The study focuses on classifying individuals into different health risk categories using machine learning algorithms. Our Random Forest model achieved remarkable performance with an accuracy, F1-score, recall, and precision all (...) reaching 97.23%. The model's success is attributed to its ability to effectively leverage attributes related to eating habits, physical condition, and demographic factors. Feature importance analysis reveals key factors contributing to accurate predictions. This paper contributes to the field of health analytics by demonstrating the effectiveness of Random Forest in predicting and categorizing health risks. The insights gained from this research have the potential to inform personalized health interventions and contribute to the advancement of precision health strategies. Furthermore, the study highlights the importance of leveraging machine learning techniques for health risk assessment in diverse populations. (shrink)

Multiple drug resistant strains of HIV and continuing difficulties with vaccine development highlight the importance of psychologi- cal interventions which aim to in uence the psychosocial and emo- tional factors empirically demonstrated to be significant predictors of immunity, illness progression and AIDS mortality in seropositive persons. Such data have profound implications for psychological interventions designed to modify psychosocial factors predictive of enhanced risk of exposure to HIV as well as the neuroendocrine and immune mechanisms mediating the impact (...) of such factors on disease progression. Many of these factors can be construed as unconscious mental ones, and psychoanalytic self-psychology may be a useful framework for conceptualizing psychic and immune de- fence as well as bodily and self-integration in HIV infection. Al- though further prospective studies and cross-cultural validation of research are necessary, existing data suggest that psychoanalytic insights may be useful both in therapeutic interventions and evaluative research which would require an underlying epistemology of the complementarity of mind and matter. (shrink)

Investigation of neural and cognitive processes underlying individual variation in moral preferences is underway, with notable similarities emerging between moral- and risk-based decision-making. Here we specifically assessed moral distributive justice preferences and non-moral financial gambling preferences in the same individuals, and report an association between these seemingly disparate forms of decision-making. Moreover, we find this association between distributive justice and risky decision-making exists primarily when the latter is assessed with the Iowa Gambling Task. These findings are consistent with neuroimaging (...) studies of brain function during moral and risky decision-making. This research also constitutes the first replication of a novel experimental measure of distributive justice decision-making, for which individual variation in performance was found. Further examination of decision-making processes across different contexts may lead to an improved understanding of the factors affecting moral behaviour. (shrink)