Background: Biomedical science is producing an avalanche of data about risk factors, often with a small predictive value, associated with a broad diversity of diseases. Prevention and screening are increasingly moving from public health into the clinic. Therefore, the question of which risk factors to investigate and disclose in the individual patient, becomes ethically increasingly urgent. In line with Wilson and Jungner's public health-related 10 principles for screening, it seems crucial to distinguish important from unimportant health risks.Aim: to (...) explore the ways in which clinicians distinguish important from unimportant health risks.Methods: We interviewed 36 respondents (gastroenterologists and gynaecologists/obstetrics) in 5 focus group interviews and 15 open in-depth interviews on their interpretation of what makes a health risk important.Results: Physicians primarily interpreted importance as the severity of the possible harm, less often its probability. Possibilities of prevention or reassurance strongly influenced their judgment on importance.Discussion: It is not likely that interpreting ‘important’ as ‘severe’ will help in differentiating meaningful from meaningless risk knowledge. A more fundamental change in our ways of dealing with risk may be called for. We discuss existing literature on resilience as an alternative way to deal with risk. Balancing prevention and risk reduction with resilience could be a fruitful direction. (shrink)

ABSTRACT Background: Biomedical science is producing an avalanche of data about risk factors, often with a small predictive value, associated with a broad diversity of diseases. Prevention and screening are increasingly moving from public health into the clinic. Therefore, the question of which risk factors to investigate and disclose in the individual patient, becomes ethically increasingly urgent. In line with Wilson and Jungner's public health‐related 10 principles for screening, it seems crucial to distinguish important from unimportant health risks. (...) Aim: to explore the ways in which clinicians distinguish important from unimportant health risks. Methods: We interviewed 36 respondents (gastroenterologists and gynaecologists/obstetrics) in 5 focus group interviews and 15 open in‐depth interviews on their interpretation of what makes a health risk important. Results: Physicians primarily interpreted importance as the severity of the possible harm, less often its probability. Possibilities of prevention or reassurance strongly influenced their judgment on importance. Discussion: It is not likely that interpreting ‘important’ as ‘severe’ will help in differentiating meaningful from meaningless risk knowledge. A more fundamental change in our ways of dealing with risk may be called for. We discuss existing literature on resilience as an alternative way to deal with risk. Balancing prevention and risk reduction with resilience could be a fruitful direction. (shrink)

The architecture of the hazard management system underlying precautionary behavior makes functional sense, given the adaptive computational problems it evolved to solve. Many seeming infelicities in its outputs, such as behavior with “apparent lack of rational motivation” or disproportionality, are susceptibilities that derive from the sheer computational difficulty posed by the problem of cost-effectively deploying countermeasures to rare, harmful threats. (Published Online February 8 2007).

We propose a task for eliciting attitudes toward risk that is close to real-world risky decisions which typically involve gains and losses. The task consists of accepting or rejecting gambles that provide a gain with probability p\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$p$$\end{document} and a loss with probability 1-p\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$1-p$$\end{document}. We employ finite mixture models to uncover heterogeneity in risk preferences and find that behavior is heterogeneous, with (...) one half of the subjects behaving as expected utility maximizers, for the others, reference-dependent models perform better than those where subjects derive utility from final outcomes, models with sign-dependent decision weights perform better than those without, and there is no evidence for loss aversion. The procedure is sufficiently simple so that it can be easily used in field or lab experiments where risk elicitation is not the main experiment. (shrink)

Background Scientific and technological advancements in mapping and understanding the interrelated pathways through which biological and environmental exposures affect disease development create new possibilities for detecting disease risk factors. Early detection of such risk factors may help prevent disease onset or moderate the disease course, thereby decreasing associated disease burden, morbidity, and mortality. However, the ethical implications of screening for disease risk factors are unclear and the current literature provides a fragmented and case-by-case picture. Methods To (...) identify key ethical considerations arising from the early detection of disease risk factors, we performed a systematic scoping review. The Scopus, Embase, and Philosopher’s Index databases were searched for peer-reviewed, academic records, which were included if they were written in English or Dutch and concerned the ethics of (1) early detection of (2) disease risk factors for (3) disease caused by environmental factors or gene-environment interactions. All records were reviewed independently by at least two researchers. Results After screening 2034 titles and abstracts, and 112 full papers, 55 articles were included in the thematic synthesis of the results. We identified eight common ethical themes: (1) Reliability and uncertainty in early detection, (2) autonomy, (3) privacy, (4) beneficence and non-maleficence, (5) downstream burdens on others, (6) responsibility, (7) justice, and (8) medicalization and conceptual disruption. We identified several gaps in the literature, including a relative scarcity of research on ethical considerations associated with environmental preventive health interventions, a dearth of practical suggestions on how to address expressed concerns about overestimating health capacities, and a lack of insights into preventing undue attribution of health responsibility to individuals. Conclusions The ethical concerns arising with the early detection of risk factors are often interrelated and complex. Comprehensive ethical analyses are needed that are better embedded in normative frameworks and also assess and weigh the expected benefits of early risk factor detection. Such research is necessary for developing and implementing responsible and fair preventive health policies. (shrink)

There are two epistemological problems connected with dreaming, which are of different kinds and require different treatment. The internal problem is best seen as a problem of rational consistency, of how we can maintain all of: Dreams are experiences we have during sleep. Dream-experiences are sufficiently similar to waking experiences for the subject to be able to mistake them for waking experiences. We can tell that we are awake. (1)-(3) threaten to violate a requirement on discrimination: that we can only (...) tell Xs from Ys if there is some detectable difference between Xs and Ys. Attempts to solve the problem by Descartes and Williams are considered. It is suggested that if we take account of levels of epistemic risk, we can use Descartes's criterion of lack of coherence, at least with hindsight - which is the time when we need to use it. (shrink)

As schizotypal personality disorder increasingly prevails in the general population, a rapid and comprehensive measurement instrument is imperative to screen individuals at risk for SPD. To address this issue, we aimed to develop a computerized adaptive testing for SPD using a non-clinical Chinese sample, consisting of a calibration sample and a validation sample. The item pool of SPD was constructed from several widely used SPD scales and statistical analyses based on the item response theory via a calibration sample using (...) a graded response model. Finally, 90 items, which measured at least one symptom of diagnostic criteria of SPD in the fifth edition of the Diagnostic and Statistical Manual of Mental Disorders and had local independence, good item fit, high slope, and no differential item functioning, composed the final item pool for the CAT-SPD. In addition, a simulated CAT was conducted in an independent validation sample to assess the performance of the CAT-SPD. Results showed that the CAT-SPD not only had acceptable reliability, validity, and predictive utility but also had shorter but efficient assessment of SPD which can save significant time and reduce the test burden of individuals with less information loss. (shrink)

Detecting sensitive information considering privacy is a relevant issue on Online Social Networks (OSNs). It is often difficult for users to manage the privacy associated with their posts on social networks taking into account all the possible consequences. The aim of this work is to provide information about the sensitivity of the content of a publication when a user is going to share it in OSN. For this purpose, we developed a privacy-assistant agent that detects sensitive information. Based on this (...) information, the agent provides a message through a nudge mechanism warning about the possible risks of sharing the message. To avoid being annoying, the agent also considers the user’s previous behaviour (e.g. if he previously ignored certain nudges) and adapts the messages it sends to give more relevance to those categories that are more important to the user from the point of view of the privacy risk. This agent was integrated into the social network Pesedia. We analysed the performance of different models to detect a set of sensitive categories (i.e. location, medical, drug/alcohol, emotion, personal attacks, stereotyping, family and association details, personal details and personally identifiable information) in a dataset of tweets in Spanish. The model that obtained the best results (i.e. F1 and accuracy) and that was finally integrated into the privacy-assistant agent was transformer-based. (shrink)

The purpose of this paper is to examine whether anonymous reporting channels are effective in detecting fraud against companies. Fraud, which comprises predominantly asset misappropriation, represents a key operational risk and a major cost to organisations. The fraud triangle provides a framework for developing our understanding of how ARCs can increase detection of fraud. Using publicly listed company survey data collected by KPMG in Australia—where ARCs are not mandated—we find a positive association between ARCs and reported fraud. These (...) results indicate that ARCs are effective in detecting fraud. Additional analysis reveals that small firms derive the greatest benefit from adopting ARCs. We also find that independent boards do not directly influence the detection of fraud, but companies with independent boards detect more fraud because they implement ARCs. (shrink)

In “Risk Based Passenger Screening in Aviation Security: Implications and Variants of a New Paradigm”, Sebastian Weydner-Volkmann describes the current paradigm shift from ‘traditional’ forms of screening to ‘risk based passenger screening’ (RBS) in aviation security. This paradigm shift is put in the context of the wider historical development of risk management approaches. Through a discussion of Michel Foucault, Herfried Münkler and Ulrich Beck, Weydner-Volkmann analyses the shortcomings of such approaches in public security policies, which become especially (...) evident in the aviation security context. As he shows, the turn towards methods of RBS can be seen as an attempt to address a trade-off ‘trilemma’ between the effective provision of security, the implied costs for industry and passengers, and the ethical, legal and societal implications of the screening procedures. In order to analyse foreseeable outcomes of embracing RBS, he differentiates three prototypical variants of the new paradigm on the basis of their main referent and rationale. For each variant, he then subsequently assesses the implications for the ‘trilemma’, after having unveiled the criteria of analysis that will necessarily have to be followed within a serious appraisal of RBS methods. (shrink)

Are risk-takers more likely to engage in unethical behaviors? We examined the relationship between risk-taking propensity and cheating in two experimental studies. In Study 1, we examined the relationship between subjects’ risk-taking propensity and their actual self-serving dishonesty using a gambling-like task. The results suggested that risk-taking propensity, measured using a behavioral approach, was positively correlated with actual self-serving dishonest behavior. In Study 2, we measured participants’ performances using a matrices test and found that the positive (...) correlation still held. We found that participants with high risk-taking propensity reported a lower perceived probability of being detected, which might drive their dishonest behavior. (shrink)

There are widely held premises that suicide is almost exclusively the result of mental illness and there is “strong evidence for successfully detecting and managing suicidality in healthcare”. In this context, ‘zero-suicide’ policies have emerged, and suicide risk assessment tools have become a normative component of psychiatric practice. This essay discusses how suicide evolved from a moral to a medical problem and how, in an effort to reduce suicide, a paternalistic healthcare response emerged to predict those at high (...) class='Hi'>risk. The evidence for the premises is critiqued and shown to be problematic; and it is found that strong paternalistic interventions are being used more often than acknowledged. Using a Principles approach, the ethics of overriding autonomy in suicide prevention is considered. Ethical concerns are identified with the current approach which are potentially amplified by the use of these risk assessments. Furthermore, it is identified that the widespread use of risk assessments in health settings is equivalent to screening without regard to the ethical principles of screening. The essay concludes that this is unethical; that we should abandon the use of standardized suicide risk assessments and ‘zero-suicide’ policy; and that this may improve outcomes. (shrink)

The study aimed to identify the effect of applying detection and prevention tools for career fraud in combating and preventing fraud and reducing its risks through an applied study on Palestinian Ministry of Health in Gaza Strip, Palestine. To achieve the objectives of the study, the researchers used the questionnaire as a main tool to collect data, and the descriptive and analytical approach to conducting the study. The study population consisted of (501) supervisory employees working at MOH in Gaza (...) Strip, Palestine. The researchers used the stratified random sample method and the multiple regression method to measure the effect. The study concluded a set of results, the most important of which is a positive evaluation among respondents about the levels of application of tools to detect and prevent job fraud within MOH, and the presence of a high interest in tools to prevent job fraud during the implementation of its various work. The study recommended the necessity for the Palestinian National Authority to develop and approve laws regulating health sector, so that those laws guarantee the prevention of conflicts of interest, especially for the category of doctors, by preventing job duplication of doctors working in the government sector. Also study recommended the need for MOH to adopt principles of health sector governance and begin immediately to implement them. This process to ensure transparency, disclosure and accountability in the business framework in a manner that realizes the effective protection of stakeholders and does not compromise or discriminate in the application of these principles, which ensures that all forms of job fraud are organized in an organized manner and within fixed legal frameworks. (shrink)

Research shows that animal cruelty shares many of the aetiologial pathways and risk factors that have been shown for other aggressive behaviors. The shared aetiology not only aids understanding of the co-occurrence that has been documented between animal cruelty and other aggressive and antisocial crimes, it also highlights the dangers over and above those to animals that are lurking where animal cruelty offenders remain unidentified and their crimes remain unsanctioned. This article reviews current understandings about the development of antisocial (...) behaviors, including human aggression, and animal cruelty behaviors. Available research leads one to ask, when individuals have been found to be guilty of animal cruelty, what other aggressive behaviors might they be guilty of? For young children, one must ask, are they victims of child abuse, are they living in circumstances of domestic violence, and/or what is the aggression or violence that they may have been witness to? Animal cruelty, and most aggressive behaviors from the later childhood years onward, are indicators of non-normative development. Early detection of such behaviors can provide a valuable opportunity to engage in preventative intervention for young people or for appropriate sanctions to be applied for adults. Such interventions would be beneficial for all, humans and animals alike. (shrink)

With the increase in depth of coal mining, the hydrogeological complexity largely increases and water inrush accidents happen more frequently. For the safety of coal mining, horizontal directional drilling and grouting techniques have been implemented to detect and plug the fractures and conduits that deliver high-pressure groundwater to coal mine. Taking the grouting engineering performed at Xingdong coal mine at 980 m below sea level as an example, we collected the data of grouting quantity, the loss of drilling fluid, gamma (...) value, water temperature, average water absorption, distance between grouting loss points, water pressure on coal seam floor, and aquifuge thickness at 90 boreholes in the mine to conduct grey relational analysis, first. The analysis showed that the grouting quantity was highly correlated with all other factors. Subsequently, grey system evaluation was used to evaluate the risk of water inrush from the coal seam floor. The results of risk analysis illustrated that three water inrushes from Ordovician limestone occurred in mining face 2127, 2125, and 2222 in the study area were all located in the area with a risk score higher than 65. Through grouting, the identified cracks were effectively blocked and waterproof layers beneath the coal seam floors were constructed to reduce the threat of water inrush. By comparing the risk assessment results with three water inrush cases before grouting operation, we found that water inrush areas were consistent with the area of higher risk. (shrink)

Student cheating has always been a problem in higher education, but detection of cheating has become easier with technology. As a result, more students are being caught and reported for cheating. While reporting cheating is not a negative, the rippling effects of reported cheating may be felt by some populations more than others. Thus, preventing cheating would be a preferable option for all involved.Identifying those at risk for being reported for cheating is a first step in developing preventive (...) measures. Previous research has attempted to do this through the use of self-report surveys, but such research takes considerable time and resources to conduct and suffers from low response rates and social desirability bias. To address this limitation in existing research, this study links existing data from records of other-reported cheating to university registration data in order to examine 6 cheating risk factors identified in previous research: maturity level, gender, grade point average, major, international student status, and fear of punishment. The results of the study suggest that international and transfer students, particularly those who are male, in high-risk majors, and have lower grade point averages, are in particular need of preventative education. Likewise, those faculty who teach in computer science, engineering and economics majors should do more to educate implement practices to reduce the likelihood of cheating. (shrink)

Measuring neuronal activity with electrophysiological methods may be useful in detecting neurological dysfunctions, such as mild traumatic brain injury (mTBI). This approach may be particularly valuable for rapid detection in at-risk populations including military service members and athletes. Electrophysiological methods, such as quantitative electroencephalography (qEEG) and recording event-related potentials (ERPs) may be promising; however, the field is nascent and significant controversy exists on the efficacy and accuracy of the approaches as diagnostic tools. For example, the specific measures derived (...) from an electroencephalogram (EEG) that are most suitable as markers of dysfunction have not been clearly established. A study was conducted to summarize and evaluate the statistical rigor of evidence on the overall utility of qEEG as an mTBI detection tool. The analysis evaluated qEEG measures/parameters that may be most suitable as fieldable diagnostic tools, identified other types of EEG measures and analysis methods of promise, recommended specific measures and analysis methods for further development as mTBI detection tools, identified research gaps in the field, and recommended future research and development thrust areas. The qEEG study group formed the following conclusions: 1. Individual qEEG measures provide limited diagnostic utility for mTBI. However, many measures can be important features of qEEG discriminant functions, which do show significant promise as mTBI detection tools. 2. ERPs offer utility in mTBI detection. In fact, evidence indicates that ERPs can identify abnormalities in cases where EEGs alone are nondisclosing. 3. The standard mathematical procedures used in the characterization of mTBI EEGs should be expanded to incorporate newer methods of analysis including nonlinear dynamical analysis, complexity measures, analysis of causal interactions, graph theory and information dynamics. 4. and 5. are too long to include here. (shrink)

This study details the methodological process for creating a tool for the identification of COVID-19 potential contagion situations in sports and physical education before, during, and after practice and competition. It is a tool that implies an educational and methodological process with all the agents of the sports system. This tool identifies the large number of interactions occurring through sports action and everything that surrounds it in training, competition, and organization. The aim is to prepare contingency protocols based on an (...) exhaustive analysis, risk detection, and proposal of contingency measures trying to reduce the residual risk to a minimum. In the second part, the results of the implementation of this tool in the sports system of Galicia (Spain) are shown. The technicians have changed their perceptions about the coronavirus transmission in sports. They highlight the problem for returning to sports participation for athletes under 18 years in the pandemic context. (shrink)

Purpose This study aims to ascertain the impact of data collecting awareness on perceived information security concerns and information-sharing behavior on social networking sites. Design/methodology/approach Based on communication privacy management theory, the study forecasted the relationship between information-sharing behavior and awareness of data collecting purposes, data collection tactics and perceived security risk using structural equation modeling analysis and one-way ANOVA. The sample size of 521 young social media users in Vietnam, ages 18 to 34, was made up of 26.7% (...) men and 73.3% women. When constructing the questionnaire survey method with lone source respondents, the individual’s unique awareness and experiences with using online social networks (OSNs) were taken into account. Findings The results of the investigation demonstrate a significant relationship between information-sharing and awareness of data collecting, perceptions of information security threats and behavior. Social media users have used OSN privacy settings and paid attention to the sharing restriction because they are concerned about data harvesting. Research limitations/implications This study was conducted among young Vietnamese social media users, reflecting specific characteristics prevalent in the Vietnamese environment, and hence may be invalid in other nations’ circumstances. Practical implications Social media platform providers should improve user connectivity by implementing transparent privacy policies that allow users to choose how their data are used; have clear privacy statements and specific policies governing the use of social media users’ data that respect users’ consent to use their data; and thoroughly communicate how they collect and use user data while promptly detecting any potential vulnerabilities within their systems. Originality/value The authors ascertain that the material presented in this manuscript will not infringe upon any statutory copyright and that the manuscript will not be submitted elsewhere while under Journal of Information, Communication and Ethics in Society review. (shrink)

Huge losses and serious threats to ecosystems are common consequences of forest fires. This work describes a forest fire controller based on fuzzy logic and decision-making methods aiming at enhancing forest fire prevention, detection, and fighting systems. In the proposal, the environmental monitoring of several dynamic risk factors is performed with wireless sensor networks and analysed with the proposed fuzzy-based controller. With respect to this, meteorological variables, polluting gases and the oxygen level are measured in real time to (...) estimate the existence of forest fire risks in the short-term and to detect the recent occurrence of fire outbreaks over different forest areas. Besides, the Analytic Hierarchy Process method is used to determine the level of fire spread, and, when necessary, environmental alerts are sent by a Web service and received by a mobile application. For this purpose, integrity, confidentiality, and authenticity of environmental information and alerts are protected with implementations of Lamport’s authentication scheme, Diffie-Lamport signature, and AES-CBC block cipher. (shrink)

BackgroundInstitutional review boards (IRBs) have been criticised for delays in approvals for research proposals due to inadequate or inexperienced IRB staff. Artificial intelligence (AI), particularly large language models (LLMs), has significant potential to assist IRB members in a prompt and efficient reviewing process.MethodsFour LLMs were evaluated on whether they could identify potential ethical issues in seven validated case studies. The LLMs were prompted with queries related to the proposed eligibility criteria of the study participants, vulnerability issues, information to be disclosed (...) in the informed consent document (ICD), risk–benefit assessment and justification of the use of a placebo. Another query was issued to the LLMs to generate ICDs for these case scenarios.ResultsAll four LLMs were able to provide answers to the queries related to all seven cases. In general, the responses were homogeneous with respect to most elements. LLMs performed suboptimally in identifying the suitability of the placebo arm, risk mitigation strategies and potential risks to study participants in certain case studies with a single prompt. However, multiple prompts led to better outputs in all of these domains. Each of the LLMs included all of the fundamental elements of the ICD for all case scenarios. Use of jargon, understatement of benefits and failure to state potential risks were the key observations in the AI-generated ICD.ConclusionIt is likely that LLMs can enhance the identification of potential ethical issues in clinical research, and they can be used as an adjunct tool to prescreen research proposals and enhance the efficiency of an IRB. (shrink)

Firearm violence is a major public health problem in the United States. In 2000, firearms were used in 10,801 homicides – two-thirds of all homicides in the U.S. – and 533,470 non-fatal criminal victimizations including rapes, robberies, and assaults. The social costs of gun violence in the United States are also staggering, and have been estimated to be on the order of $100 billion per year.Illegal gun carrying, usually concealed, in public places is an important risk factor for firearm-related (...) crime. In the 1980s and 1990s, police departments across the country began to develop and implement strategies to address illegal weapons carrying. Often these strategies have involved aggressive efforts to identify and physically search individuals suspected of illegally carrying a firearm. (shrink)

Firearm violence is a major public health problem in the United States. In 2000, firearms were used in 10,801 homicides – two-thirds of all homicides in the U.S. – and 533,470 non-fatal criminal victimizations including rapes, robberies, and assaults. The social costs of gun violence in the United States are also staggering, and have been estimated to be on the order of $100 billion per year.Illegal gun carrying, usually concealed, in public places is an important risk factor for firearm-related (...) crime. In the 1980s and 1990s, police departments across the country began to develop and implement strategies to address illegal weapons carrying. Often these strategies have involved aggressive efforts to identify and physically search individuals suspected of illegally carrying a firearm. (shrink)

How can one build AI systems such that they pursue the goals their designers want them to pursue? This is the alignment problem. Numerous authors have raised concerns that, as research advances and systems become more powerful over time, misalignment might lead to catastrophic outcomes, perhaps even to the extinction or permanent disempowerment of humanity. In this paper, I analyze the severity of this risk based on current instances of misalignment. More specifically, I argue that contemporary large language models (...) and game-playing agents are sometimes misaligned. These cases suggest that misalignment tends to have a variety of features: misalignment can be hard to detect, predict and remedy, it does not depend on a specific architecture or training paradigm, it tends to diminish a system’s usefulness and it is the default outcome of creating AI via machine learning. Subsequently, based on these features, I show that the risk of AI alignment magnifies with respect to more capable systems. Not only might more capable systems cause more harm when misaligned, aligning them should be expected to be more difficult than aligning current AI. (shrink)

The behavioral immune system (BIS) includes perceptual mechanisms for detecting cues of contamination. Former studies have indicated that moisture has a disgusting property. Therefore, moisture could be a target for detecting contamination cues by the BIS. We conducted two experiments to examine the psychophysical basis of moisture perception and clarify the relationship between the perception of moisture and the BIS. We assumed that the number of high luminance areas in a visual image provided optical information that would enable the visual (...) perception of moisture. In two experiments, we presented eight images of dough that contained different amounts of moisture as experimental stimuli. The amount of moisture shown in the images was increased in eight steps, from 28.6% to 42.9% of the total weight of the dough. In Experiment 1, the images were randomly presented on a computer display, and the participants (n = 22) were asked to rank the images in the order of the visually perceived moisture content. In Experiment 2, the participants (n = 15) completed pairwise comparisons based on the perceived moistness of the images. Furthermore, to examine the BIS responses, the participants rated the strength of disgust evoked by the stimuli, their motivation to avoid touching the stimuli, and the estimated magnitude of the risk of contamination by physical contact with the stimuli. The results indicated that the moisture content and the numbers of high luminance areas in the images accurately predicted the perception of moisture, suggesting that the detection of visual moisture was highly accurate, and the optical information served as an essential perceptual cue for detecting moisture. On the other hand, the BIS responses peaked in response to stimuli having approximately 33% to 39% moisture content. These results show that objects containing a moderate amount of moisture could be the target of visually detecting pathogens by the BIS. (shrink)

The objective of this study is to evaluate auditors’ perceived responsibility for fraud detection. Auditors play a critical role in managing fraud risk within organizations. Although professional standards and guidance prescribe responsibility in the area, little is known about auditors’ sense of responsibility for fraud detection, the factors affecting perceived responsibility, and how responsibility affects auditor performance. We use the triangle model of responsibility as a theoretical basis for examining responsibility and the effects of accountability, fraud type, (...) and auditor type on auditors’ perceived fraud detection responsibility. We also test how perceived responsibility affects auditor brainstorming performance given the importance of brainstorming in audits. A sample of 878 auditors participated in an experiment with accountability pressure and fraud type manipulated randomly between subjects. As predicted, accountable auditors report higher detection responsibility than anonymous auditors. We also find a significant fraud type × auditor type interaction with external auditors perceiving the most detection responsibility for financial statement fraud, while internal auditors report similar detection responsibility for all fraud types. Analysis of the triangle model’s formative links reveals that professional obligation and personal control are significantly related to responsibility, while task clarity is not. Finally, the results indicate that perceived responsibility positively affects the number of detection procedures brainstormed and partially mediates the significant accountability–brainstorming relation. (shrink)

In this paper, we analyze and calculate the crowd density in a tourist area utilizing video surveillance dynamic information analysis and divide the crowd counting and density estimation task into three stages. In this paper, novel scale perception module and inverse scale perception module are designed to further facilitate the mining of multiscale information by the counting model; the main function of the third stage is to generate the population distribution density map, which mainly consists of three columns of void (...) convolution with different void rates and generates the final population distribution density map using the feature maps of different branch regressions. Also, the algorithm uses jump connections between the top convolution and the bottom void convolution layers to reduce the risk of network gradient disappearance and gradient explosion and optimizes the network parameters using an intermediate supervision strategy. The hierarchical density estimator uses a hierarchical strategy to mine semantic features and multiscale information in a coarse-to-fine manner, and this is used to solve the problem of scale variation and perspective distortion. Also, considering that the background noise affects the quality of the generated density map, the soft attention mechanism is integrated into the model to stretch the distance between the foreground and background to further improve the quality of the density map. Also, inspired by multitask learning, this paper embeds an auxiliary count classifier in the count model to perform the count classification auxiliary task and to increase the model’s ability to express semantic information. Numerous experimental results demonstrate the effectiveness and feasibility of the proposed algorithm in solving the problems of scale variation and perspective distortion. (shrink)

Likert-scale surveys are frequently used in cross-cultural studies on leadership. Recent publications using digital text algorithms raise doubt about the source of variation in statistics from such studies to the extent that they are semantically driven. The Semantic Theory of Survey Response (STSR) predicts that in the case of semantically determined answers, the response patterns may also be predictable across languages. The Multifactor Leadership Questionnaire (MLQ) was applied to 11 different ethnic samples in English, Norwegian, German, Urdu and Chinese. Semantic (...) algorithms predicted responses significantly across all conditions, although to varying degree. Comparisons of Norwegian, German, Urdu and Chinese samples in native versus English language versions suggest that observed differences are not culturally dependent but caused by different translations and understanding. The maximum variance attributable to culture was a 5% unique overlap of variation in the two Chinese samples. These findings question the capability of traditional surveys to detect cultural differences. It also indicates that cross-cultural leadership research may risk lack of practical relevance. (shrink)

The South-to-North Water Diversion Project consists of long-distance water delivery channels and a complicated geological environment along the way. To deal with the operation safety of the water conveyance channels in the middle route of the South-to-North Water Diversion Project, this study analyzes six failure modes: structural cracks, poor water delivery during ice periods, instability of canal slopes, material aging, abnormal leakage, and foundation defects. Based on FMEA, a multigranularity language evaluation method that can be converted into interval intuitionistic fuzzy (...) numbers is used to evaluate the severity, occurrence, and detection difficulty of the six failure modes. Interval intuitionistic fuzzy entropy is used to calculate the weights of the risk factors. Finally, a ranking model of each failure mode is built based on the TODIM method. The final ranking results show that the risk of abnormal leakage is the largest, and the risk of poor water delivery during ice periods is the smallest. The feasibility and validity of the calculation results are verified by comparing them with the ranking results of the traditional RPN and TOPSIS methods. The TODIM-FMEA risk assessment model offers a new solution to the problem of risk assessment for water transfer projects. (shrink)

Although the character of the “lady detective”is a staple of the cozy mystery genre, we contend that there are no great lady detectives to rival Holmes or Poirot. This is not because there are no clever or interesting lady detective characters, but ratherbecause the concept of greatness is sociallyconstructed and, like coolness, depends on public acclaim and perception. We explore the mechanics of genre formation, arguing that the very structure of cozy mysteries precludes female greatness. To create a “great”character,theauthor cannot (...) just endowher with certain attributes; she must actively work to overcome her audience’s tendency to import structures of oppression into the story, and she must wrestle against the conventions of the genre. In doing so, however, authors risk setting their stories in a wholly different genre. (shrink)

The new wave of ‘foundation models’—general-purpose generative AI models, for production of text (e.g., ChatGPT) or images (e.g., MidJourney)—represent a dramatic advance in the state of the art for AI. But their use also introduces a range of new risks, which has prompted an ongoing conversation about possible regulatory mechanisms. Here we propose a specific principle that should be incorporated into legislation: that any organization developing a foundation model intended for public use must demonstrate a reliable detection mechanism for (...) the content it generates, as a condition of its public release. The detection mechanism should be made publicly available in a tool that allows users to query, for an arbitrary item of content, whether the item was generated (wholly or partly) by the model. In this paper, we argue that this requirement is technically feasible and would play an important role in reducing certain risks from new AI models in many domains. We also outline a number of options for the tool’s design, and summarize a number of points where further input from policymakers and researchers would be required. (shrink)

With the advancement of internet and the emergence of network globalization, security has always been a major concern. During the trial operation, the management control platform discussed in this article included more than 600 network security vulnerabilities in the industry, with dozens of incidents, which were promptly dealt with and rectified, effectively improving the level of network security management and protection in the industry. As networks are very much vulnerable to denial of service attacks, much more emphasis has been given (...) to security. By improving their network security, network administrators have often tried their best. To attempt penetration testing, it is the best way of ensuring the system security. With the development of information technology, the security requirement of information system is increasing day by day. The use of penetration testing technology is conducive to the realization of accurate positioning, accurate detection, and active alarm of security vulnerabilities, and the optimization of monitoring and rectification of the combination of network security management control system. Taking penetration testing technology as one of the core elements of management and control, the risk index model is optimized to make network security management controllable and efficient, and effectively achieve management and control objectives. (shrink)

Despite the presumed frequency of conflicts of interest in scientific peer review, there is a paucity of data in the literature reporting on the frequency and type of conflicts that occur, particularly with regard to the peer review of basic science applications. To address this gap, the American Institute of Biological Sciences conducted a retrospective analysis of conflict of interest data from the peer review of 282 biomedical research applications via several onsite review panels. The overall conflicted-ness of these panels (...) was significantly lower than that reported for regulatory review. In addition, the majority of identified conflicts were institutional or collaborative in nature. No direct financial conflicts were identified, although this is likely due to the relatively basic science nature of the research. It was also found that 65 % of identified conflicts were manually detected by AIBS staff searching reviewer CVs and application documents, with the remaining 35 % resulting from self-reporting. The lack of self-reporting may be in part attributed to a lack of perceived risk of the conflict. This result indicates that many potential conflicts go unreported in peer review, underscoring the importance of improving detection methods and standardizing the reporting of reviewer and applicant conflict of interest information. (shrink)

In this paper, we describe the challenges of collecting data in the Māori population for automatic detection of schizophrenia using natural language processing (NLP). Existing psychometric tools for detecting are wide ranging and do not meet the health needs of indigenous persons considered at risk of developing psychosis and/or schizophrenia. Automated methods using NLP have been developed to detect psychosis and schizophrenia but lack cultural nuance in their designs. Research incorporating the cultural aspects relevant to indigenous communities is (...) lacking in the design of existing automatic prediction tools and one of the main reasons is the scarcity of data from indigenous populations. This paper explores the current design of the New Zealand health care system and its potential impacts on access and inequities in the Māori population and details the methodology used to collect speech samples of Māori at risk of developing psychosis and schizophrenia. The paper also describes the major obstacles faced during speech data collection, key findings, and probable solutions. (shrink)

The report begins by outlining several case studies with varying levels of data, examining the role for extreme event risk analysis. The case studies include BA’s analysis of fire blight and New Zealand apples, bank operational risk and several technical failures. The report then surveys recent developments in methods relevant to evaluating extreme risks and evaluates their properties. These include methods for fraud detection in banks, formal extreme value theory, Bayesian approaches, qualitative reasoning, and adversary and advocacy (...) models. The document includes a supplementary report as an appendix, providing an overview of the quantification of bank operational risks. (shrink)

Human resource management risks are due to the failure of employer organization to use relevant human resources reasonably and can result in tangible or intangible waste of human resources and even risks; therefore, constructing a practical early warning model of human resource management risk is extremely important for early risk prediction. The back propagation neural network is an information analysis and processing system formed by using the error back propagation algorithm to simulate the neural function and structure of (...) the human brain, which can handle complex and changeable things that do not have an obvious linear relationship between output results and input factors, so as to find the objective connection between the two. Based on the summary and analysis of previous research works, this article expounded the research status and significance of early warning for human resource management risks, elaborated the development background, current status, and future challenges of the BP neural network, introduced the method and principle of the BP neural network’s connection weight calculation and learning training, performed the risk inducement analysis, index system establishment, and network node selection of human resource management, constructed an early warning model of human resource management risk based on the BP neural network, conducted the risk warning model training and detection based on the BP neural network, and finally carried out a simulation and its result analysis. The study results show that the early warning model of human resource management risk based on the BP network is effective, and this trained and tested BP network risk warning model can be used to conduct early warning empirical research on human resource risks to prevent human resource risks, ensure enterprise’s benign operation, and at the same time play a role in supervision and promotion of market order rectification. (shrink)

Non‐invasive brain stimulation is used to modulate brain excitation and inhibition and to improve cognitive functioning. The effectiveness of the enhancement due to transcranial direct current stimulation (tDCS) is still controversial, but the technique seems to have large potential for improvement and more specific applications. In particular, it has recently been used by athletes, both beginners and professionals. This paper analyses the ethical issues related to tDCS enhancement, which depend on its specific features: ease of use, immediate effect, non‐detectability and (...) great variability of effects. If tDCS were to become widespread, there could be some potential side effects, especially the rise of inequality in many selective competitive contexts. I discuss two possible scenarios to counter this effect: that of prohibition and that of compensation, each supported by reasons and arguments that seem plausible and worthy of consideration. In conclusion, I show why I think the scenario of compensation is the preferable one. (shrink)

Using empirical evidence to attack intuitions can be epistemically dangerous, because various of the complaints that one might raise against them (e.g., that they are fallible; that we possess no non-circular defense of their reliability) can be raised just as easily against perception itself. But the opponents of intuition wish to challenge intuitions without at the same time challenging the rest of our epistemic apparatus. How might this be done? Let us use the term “hopefulness” to refer to the extent (...) to which we possess a good capacity for the detection and correction of the errors of any fallible source of evidence. I argue that we should not trust putative sources of evidence that are substantially lacking in hopefulness (even if they are basically reliable), and that we are indeed already operating under such a norm in our ordinary and scientific practices. I argue further that the philosophical practice of the appeal to intuitions is, in these terms, badly hopeless... (shrink)

The high prevalence of cardiovascular diseases demands a reliable and sensitive risk assessment technique. In order to develop a fast and label-free immunosensor for C-reactive protein, a risk factor for this condition, anti-CRP antibodies were physically adsorbed to the hydrogen -terminated surface of nanocrystalline diamond. An Enzyme-Linked ImmunoSorbent Assay reference technique showed that this was a suitable substrate for antibody-antigen recognition reactions. Electrochemical Impedance Spectroscopy was used to electronically detect CRP recognition. The specificity of the immunosensor was demonstrated (...) by incubation with CRP and plasminogen as reference molecule. A different impedance behavior was observed in real-time after CRP addition as compared to plasminogen addition: the impedance increased only during CRP incubation. Fitting the data showed that this corresponded with a decrease in capacitance of the molecular layer due to its increased thickness by specific CRP recognition. Sensitivity experiments in real-time showed a clear discrimination between 1 μM, 100 nM, and 10 nM of CRP after 10 min at 100 Hz. Since, 10 nM of CRP was still clearly distinguishable from buffer solution, our CRP-directed immunosensor prototype reaches a sensitivity that is within the physiologically relevant concentration range of this biomarker in healthy controls and CVD patients. Moreover, this prototype displayed real-time discriminating power between spiked and unspiked serum, and thus also shows its applicability in this biological matrix. © 2011 Elsevier B.V. All rights reserved. (shrink)

There are three main categories of rationale for withholding information or telling lies: if overwhelming harm can only be averted through deceit; complete triviality such that it is irrelevant whether the truth is told; a duty to protect the interests of others. Public health authorities are frequently having to form judgements about the public interest, whether to release information or issue warnings. In June 1992, routine surveillance detected patulin levels (a known carcinogen) in samples of apple juice exceeding safety threshold. (...) Remedial actions were promptly taken and it was planned to subsequently publish the information in the routine way. However, the media portrayed the handling of the problem as a conspiracy and there was a short term reduction in juice sales. In October 1995, the UK Committee on Safety of Medicines issued a warning about certain brands of the contraceptive pill, based on the interim results of three unpublished studies. The increased risk of thromboembolism was small, but the resulting scare led to an increase in unwanted pregnancies. The handling of the B.S.E. crisis in the U.K. also led to accusations of incompetence or conspiracy. Public health authorities have to handle uncertainty and frequently have to form judgements for public safety on the basis of evidence of poor quantity and quality. Their task is not helped by the sometimes conflicting agenda of scientists and media. The public also have differing perceptions and interpretations of risk. The series of scares and crises are having a detrimental effect on public confidence in public health authorities. (shrink)

Retractions of COVID-19 literature in both preprints and the peer-reviewed literature serve as a reminder that there are still challenging issues underlying the integrity of the biomedical literature. The risks to academia become larger when such retractions take place in high-ranking biomedical journals. In some cases, retractions result from unreliable or nonexistent data, an issue that could easily be avoided by having open data policies, but there have also been retractions due to oversight in peer review and editorial verification. As (...) COVID-19 continues to affect academics and societies around the world, failures in peer review might also constitute a public health risk. The effectiveness by which COVID-19 literature is corrected, including through retractions, depends on the stringency of measures in place to detect errors and to correct erroneous literature. It also relies on the stringent implementation of open data policies. (shrink)

Previously diagnosed by symptoms alone, Alzheimer's disease is now also defined by measures of amyloid and tau, referred to as “biomarkers.” Biomarkers are detectible up to twenty years before symptoms present and open the door to predicting the risk of Alzheimer's disease. While these biomarkers provide information that can help individuals and families plan for long-term care services and supports, insurers could also use this information to discriminate against those who are more likely to need such services. In this (...) article, we evaluate whether state laws prohibit long-term care insurers from making discriminatory or unfair underwriting and coverage decisions based Alzheimer's disease biomarkers status. We report data demonstrating that current state laws do not provide meaningful protections from discrimination by long-term care insurers based on biomarker information. (shrink)

It could be argued that tort law is failing, and arguably an example of this failure is the recent public liability and insurance (‘PL&I’) crisis. A number of solutions have been proposed, but ultimately the chosen solution should address whatever we take to be the cause of this failure. On one account, the PL&I crisis is a result of an unwarranted expansion of the scope of tort law. Proponents of this position sometimes argue that the duty of care owed by (...) defendants to plaintiffs has expanded beyond reasonable levels, such that parties who were not really responsible for another’s misfortune are successfully sued, while those who really were to blame get away without taking any responsibility. However people should take responsibility for their actions, and the only likely consequence of allowing them to shirk it is that they and others will be less likely to exercise due care in the future, since the deterrents of liability and of no compensation for accidentally self-imposed losses will not be there. Others also argue that this expansion is not warranted because it is inappropriately fueled by ‘deep pocket’ considerations rather than by considerations of fault. They argue that the presence of liability insurance sways the judiciary to award damages against defendants since they know that insurers, and not the defendant personally, will pay for it in the end anyway. But although it may seem that no real person has to bear these burdens when they are imposed onto insurers, in reality all of society bears them collectively when insurers are forced to hike their premiums to cover these increasing damages payments. In any case, it seems unfair to force insurers to cover these costs simply because they can afford to do so. If such an expansion is indeed the cause of the PL&I crisis, then a contraction of the scope of tort liability, and a pious return to the fault principle, might remedy the situation. However it could also be argued that inadequate deterrence is the cause of this crisis. On this account the problem would lie not with the tort system’s continued unwarranted expansion, but in the fact that defendants really have been too careless. If prospective injurers were appropriately deterred from engaging in unnecessarily risky activities, then fewer accidents would ever occur in the first place, and this would reduce the need for litigation at its very source. If we take this to be the cause of tort law’s failure then our solution should aim to improve deterrence. Glen Robinson has argued that improved deterrence could be achieved if plaintiffs were allowed to sue defendants for wrongful exposure to ongoing risks of future harm, even in the absence of currently materialized losses. He argues that at least in toxic injury type cases the tortious creation of risk [should be seen as] an appropriate basis of liability, with damages being assessed according to the value of the risk, as an alternative to forcing risk victims to abide the outcome of the event and seek damages only if and when harm materializes. In a sense, Robinson wishes to treat newly-acquired wrongful risks as de-facto wrongful losses, and these are what would be compensated in liability for risk creation (‘LFRC’) cases. Robinson argues that if the extent of damages were fixed to the extent of risk exposure, all detected unreasonable risk creators would be forced to bear the costs of their activities, rather than only those who could be found responsible for another’s injuries ‘on the balance of probabilities’. The incidence of accidents should decrease as a result of improved deterrence, reduce the ‘suing fest’, and so resolve the PL&I crisis. So whilst the first solution involves contracting the scope of tort liability, Robinson’s solution involves an expansion of its scope. However Robinson acknowledges that LFRC seems prima facie incompatible with current tort principles which in the least require the presence of plaintiff losses, defendant fault, and causation to be established before making defendants liable for plaintiffs’ compensation. Since losses would be absent in LFRC cases by definition, the first evidentiary requirement would always be frustrated, and in its absence proof of defendant fault and causation would also seem scant. If such an expansion of tort liability were not supported by current tort principles then it would be no better than proposals to switch accident law across to no-fault, since both solutions would require comprehensive legal reform. However Robinson argues that the above three evidentiary requirements could be met in LFRC cases to the same extent that they are met in other currently accepted cases, and hence that his solution would therefore be preferable to no-fault solutions as it would only require incremental but not comprehensive legal reform. Although I believe that actual losses should be present before allowing plaintiffs to seek compensation, I will not present a positive argument for this conclusion. My aim in this paper is not to debate the relative merits of Robinson’s solution as compared to no-fault solutions, nor to determine which account of the cause of the PL&I crisis is closer to the truth, but rather to find out whether Robinson’s solution would indeed require less radical legal reform than, for example, proposed no-fault solutions. I will argue that Robinson fails to show that current tort principles would support his proposed solution, and hence that his solution is at best on an even footing with no-fault solutions since both would require comprehensive legal reform. (shrink)