Subsequent Decisions Research Articles

Impact of decision and action outcomes on subsequent decision and action behaviours in humans.

Speed-accuracy trade-off adjustments in decision-making have been mainly studied separately from those in motor control. In the wild, however, animals coordinate their decision and action, often deciding while acting. Recent behavioural studies support this view, indicating that animals, including humans, trade decision time for movement time to maximize their global rate of reward during experimental sessions. Besides, it is well established that choice outcomes impact subsequent decisions. Crucially though, whether and how a decision outcome also influences the subsequent motor performance, and whether and how the outcome of a movement influences the next decision, is unclear. Here, we address these questions by analysing trial-to-trial changes of choice and motor behaviours in healthy human participants instructed to perform successive perceptual decisions expressed with reaching movements whose duration was either weakly or strongly constrained in separate tasks. Results indicate that after a wrong decision, subjects who were weakly constrained in their action duration decided more slowly and more accurately. Interestingly, they also shortened their subsequent movement duration by moving faster. Conversely, we found that errors of constrained movements influenced not only the speed and the amplitude of the following movement but those of the decision too. If the movement had to be slowed down, the decision that precedes that movement was accelerated and vice versa. Together, these results indicate that from one trial to the next, humans seek to determine a behavioural duration as a whole instead of optimizing each of the decision and action speed-accuracy trade-offs independently of each other.

Spatial learning overshadows learning novel odors and sounds in both predatory and frugivorous bats

Abstract To forage efficiently, animals should selectively attend to and remember the cues of food that best predict future meals. One hypothesis is that animals with different foraging strategies should vary in their reliance on spatial versus feature cues. Specifically, animals that store food in dispersed caches or that feed on spatially stable food, such as fruits or flowers, should be relatively biased towards learning a meal’s location, whereas predators that hunt mobile prey should instead be relatively biased towards learning feature cues such as odor or sound. Several authors have predicted that nectar-feeding and fruit-feeding bats would rely relatively more on spatial cues, whereas closely related predatory bats would rely more on feature cues, yet no experiment has compared these two foraging strategies under the same conditions. To test this hypothesis, we compared learning in the frugivorous bat, Artibeus jamaicensis, and the predatory bat, Lophostoma silvicolum, which hunts katydids using acoustic cues. We trained bats to find food paired with a unique and novel odor, sound, and location. To assess which cues each bat had learned, we then dissociated these cues to create conflicting information. Rather than finding that the frugivore and predator clearly differ in their relative reliance on spatial versus feature cues, we found that both species used spatial cues over sounds or odors in subsequent foraging decisions. We interpret these results alongside past findings on how foraging animals use spatial cues versus feature cues, and explore why spatial cues may be fundamentally more rich, salient, or memorable.

Artículo especial por el Día Mundial del Riñón: Las sociedades científicas españolas ante la guía ESC 2021 de prevención de la enfermedad vascular: generalizar la medida de la albuminuria para identificar el riesgo vascular y prevenir la enfermedad vascular

The 2021 guidelines on the prevention of vascular disease (VD) in clinical practice published by the European Society of Cardiology (ESC) and supported by 13 other European scientific societies, recognise the key role of screening for chronic kidney disease (CKD) in the prevention of VD. Vascular risk in CKD is categorised based on measurements of estimated glomerular filtration rate (eGFR) and urine albumin to creatinine ratio (ACR). Thus, moderate CKD is associated with a high vascular risk and severe CKD with a very high vascular risk requiring therapeutic action, and there is no need to apply other vascular risk scores when vascular risk is already very high due to CKD. Moreover, the ESC indicates that vascular risk assessment and the subsequent decision algorithm should start with measurement of eGFR and ACR. To optimise the implementation of the ESC 2021 guidelines on the prevention of CVD in Spain, we consider that: 1) Urine testing for albuminuria using ACR should be part of the clinical routine at the same level as blood glucose, cholesterolaemia, and GFR estimation when these are used to make decisions on CVD risk. 2) Spanish public and private health services should have the necessary means and resources to optimally implement the ESC 2021 guidelines for the prevention of CVD in Spain, including ACR testing.

Disclosure of Sexual Victimization: Effects of Invalidation and Shame on Re-Disclosure.

Research on disclosure of sexual victimization has consistently demonstrated that the act of disclosure and the disclosure recipient have a synergistic effect in facilitating either positive or negative post-assault outcomes. While negative judgments such as victim blame have been argued to serve a silencing function, experimental investigations of this claim are lacking. The current study investigated whether invalidating feedback in response to self-disclosure of a personally distressing event produced feelings of shame, and whether shame influenced subsequent decisions around re-disclosure. Feedback type (validating, invalidating, no feedback) was manipulated in a sample of 142 college students. Results partially supported the hypothesis that shame resulted from invalidation, however shame was better predicted by individual perceptions of invalidation than the experimental manipulation. Although few participants opted to make changes to the content of their narrative for re-disclosure, those who did had higher levels of state shame. Results suggest that shame may be the affective mechanism by which invalidating judgments silence victims of sexual violence. The present study also supports the distinction previously made between Restore and Protect motivations in managing this shame. This study provides experimental support for the notion that an aversion to being shamed, communicated via an individual's perception of emotional invalidation, features in judgments of re-disclosure. Perceptions of invalidation, however, vary individually. Professionals working with victims of sexual violence should be mindful of the importance of shame attenuation in facilitating and encouraging disclosure.

Estimating uncertainty in LLNA EC3 data and its impact on regulatory classifications

The murine Local Lymph Node Assay (LLNA) is a test that produces numerical results (EC3 values) quantifying the sensitization potency of chemicals. These results are broadly used in toxicology and serve as a basis for various classifications, which determine subsequent regulatory decisions. The continuing interest in LLNA data and the diminished likelihood of new experimental EC3 data being generated sparked this investigation of uncertainty. Instead of using the Gaussian distribution as a default choice for assessing variability in a data set, two strictly positive distributions were proposed and their performance over the available experimental EC3 values was tested. In the application stage, how the uncertainty in EC3 values affects the possible classifications was analyzed, and the percentage of the chemicals receiving ambiguous classification was determined. It was shown that this percentage is high, which increases the risk of improper classification. Two approaches were suggested in regulatory practice to address the uncertainty in the EC3 data: the approaches based on “grey zones” and the classification distribution. If a chemical cannot be classified unambiguously, the latter appears to be an acceptable means to assess the level of sensitization potency of chemicals and helps provide better regulatory decisions.

Does decision confidence reflect effort?

Goal directed behaviour requires transformation of sensory input to decision, and then to output action. How the sensory input is accumulated to form the decision has been extensively studied, however, the influence of output action on decision making has been largely dismissed. Although the recent emerging view postulates the reciprocal interaction between action and decision, still little is known about how the parameters of an action modulates the decision. In this study, we focused on the physical effort which necessarily entails with action. We tested if the physical effort during the deliberation period of the perceptual decision, not the effort required after deciding a particular option, can impact on the process of forming the decision. Here, we set up an experimental situation where investing effort is necessary for the initiation of the task, but importantly, is orthogonal to success in task performance. The study was pre-registered to test the hypothesis that the increased effort will decrease the metacognitive accuracy of decision, without affecting the decision accuracy. Participants judged the direction of a random-dot motion stimuli, while holding and maintaining the position of a robotic manipulandum with their right hand. In the key experimental condition, the manipulandum produced force to move away from its position, requiring the participants to resist the force while accumulating the sensory evidence for the decision. The decision was reported by a key-press using the left-hand. We found no evidence that such incidental (i.e., non-instrumental) effort may influence the subsequent decision process and most importantly decision confidence. The possible reason for this result and the future direction of the research are discussed.

Environmental sustainability in Swiss sports federations – A case study on agenda setting, policy formulation and decision making processes

Environmental sustainability in Swiss sports federations – A case study on agenda setting, policy formulation and decision making processes

A predictive model for consciousness recovery of comatose patients after acute brain injury.

Predicting the consciousness recovery for comatose patients with acute brain injury is an important issue. Although some efforts have been made in the study of prognostic assessment methods, it is still unclear which factors can be used to establish model to directly predict the probability of consciousness recovery. We aimed to establish a model using clinical and neuroelectrophysiological indicators to predict consciousness recovery of comatose patients after acute brain injury. The clinical data of patients with acute brain injury admitted to the neurosurgical intensive care unit of Xiangya Hospital of Central South University from May 2019 to May 2022, who underwent electroencephalogram (EEG) and auditory mismatch negativity (MMN) examinations within 28 days after coma onset, were collected. The prognosis was assessed by Glasgow Outcome Scale (GOS) at 3 months after coma onset. The least absolute shrinkage and selection operator (LASSO) regression analysis was applied to select the most relevant predictors. We combined Glasgow coma scale (GCS), EEG, and absolute amplitude of MMN at Fz to develop a predictive model using binary logistic regression and then presented by a nomogram. The predictive efficiency of the model was evaluated with AUC and verified by calibration curve. The decision curve analysis (DCA) was used to evaluate the clinical utility of the prediction model. A total of 116 patients were enrolled for analysis, of which 60 had favorable prognosis (GOS ≥ 3). Five predictors, including GCS (OR = 13.400, P < 0.001), absolute amplitude of MMN at Fz site (FzMMNA, OR = 1.855, P = 0.038), EEG background activity (OR = 4.309, P = 0.023), EEG reactivity (OR = 4.154, P = 0.030), and sleep spindles (OR = 4.316, P = 0.031), were selected in the model by LASSO and binary logistic regression analysis. This model showed favorable predictive power, with an AUC of 0.939 (95% CI: 0.899-0.979), and calibration. The threshold probability of net benefit was between 5% and 92% in the DCA. This predictive model for consciousness recovery in patients with acute brain injury is based on a nomogram incorporating GCS, EEG background activity, EEG reactivity, sleep spindles, and FzMMNA, which can be conveniently obtained during hospitalization. It provides a basis for care givers to make subsequent medical decisions.

Deriving Expert Knowledge of Situational Awareness in Policing: a Mixed-Methods Study

Situational awareness (SA) is the most important skill required by police to effectively assess and respond to encounters, including critical incidents. Incomplete or sub-optimal SA strategies can lead to errors in subsequent judgement, decision-making, and action, including tactics and use of force (UOF). Errors in UOF, especially lethal force, in training or operational field settings, have severe consequences for learning, occupational health, and public safety. Therefore, adequately defining and instructing SA is an important gap to fill in existing applied police literature and practice. Using a mixed-methods approach, the current study aimed to define and conceptualize SA in police-specific contexts. Participants included 23 novice trainees and 11 experienced officers and instructors in tactics and UOF. Participants were shown 13 static images of various staged encounters, ranging from non-threatening to high-threat. Following each image, participants were interviewed and asked to describe what they saw and how they would respond. Thematic analyses of the interview data revealed the following seven themes that are highly interrelated and more completely define police-specific SA: distance/time laws; partner/roles; profiling the suspect; tactical options and opportunities; ongoing assessment of own tactical activities and outcomes; surrounding environment and conditions; and dangerous objects. Expert officers provided more detailed and multidimensional descriptions of the themes and statistical analyses confirmed that experts identified more themes compared to novices. By making tacit knowledge visible, the current findings establish a professional standard for SA formation, which can inform evidence-based police training in SA, tactical decision-making, and UOF while improving operational safety.

Inducing semantic hierarchy structure in empirical risk minimization with optimal transport measures

The cross-entropy (CE) loss is arguably the most important empirical risk minimization objective for deep discriminative models for classification, and has achieved notable success in numerous applications. Though the CE loss is widely adopted, it essentially ignores the correlation between categories. For example, predicting a shepherd dog to husky is more acceptable than a tiger for the subsequent decision processes, while these two misclassifications result in the same CE loss. Therefore, the usually used CE loss does not incorporate the risk of misclassification of different categories, which can be measured by the distance between the predicted category and ground-truth category in a semantic hierarchical tree (SHT). In this work, to explicitly take the SHT-defined risk-aware inter-categorical correlation into consideration, by proposing a discrete optimal transport (DOT) training framework via configuring its ground distance matrix. We are able to predefine ground distance matrix in optimal transport measurement following a priori of hierarchical semantic risk. Specifically, the tree-induced error (TIE) on SHT is adopted as our ground distance matrix. Furthermore, it can be extended to its increasing function from the optimization perspective. In addition, we can also adaptively learn the matrix following an alternative optimization scheme. The semantic similarity in each level of a tree is integrated with the information gain. We demonstrated the effectiveness of our framework in several benchmarks of large-scale image classification with the semantic tree structure, and showed superior performance in a plug-and-play manner.11The code is available in: https://anonymous.4open.science/r/OTM-Neurocomputing/

Avoidance self-efficacy: Personal indicators of risky sex and substance use among at-risk youth

Adolescent substance use (SU) is associated with risky sex behavior and sexually transmitted infections and is a risk factor for subsequent risky sex decisions. Based on a sample of 1,580 youth in residential SU treatment, this study investigated how a static factor (race) and two dynamic personal factors (risk-taking, assertiveness) contributed to adolescents’ perceived ability to avoid high-risk SU and sex behavior (avoidance self-efficacy). Results showed that race correlated with risk-taking and assertiveness, with White youth reporting higher ratings of assertiveness and risk-taking. Self-reported assertiveness and risk-taking also predicted SU and risky sex avoidance. This study underscores the importance of race and personal factors in relation to adolescents’ confidence in avoiding high-risk situations.

Transcriptomic congruence analysis for evaluating model organisms

Model organisms are instrumental substitutes for human studies to expedite basic, translational, and clinical research. Despite their indispensable role in mechanistic investigation and drug development, molecular congruence of animal models to humans has long been questioned and debated. Little effort has been made for an objective quantification and mechanistic exploration of a model organism's resemblance to humans in terms of molecular response under disease or drug treatment. We hereby propose a framework, namely Congruence Analysis for Model Organisms (CAMO), for transcriptomic response analysis by developing threshold-free differential expression analysis, quantitative concordance/discordance scores incorporating data variabilities, pathway-centric downstream investigation, knowledge retrieval by text mining, and topological gene module detection for hypothesis generation. Instead of a genome-wide vague and dichotomous answer of "poorly" or "greatly" mimicking humans, CAMO assists researchers to numerically quantify congruence, to dissect true cross-species differences from unwanted biological or cohort variabilities, and to visually identify molecular mechanisms and pathway subnetworks that are best or least mimicked by model organisms, which altogether provides foundations for hypothesis generation and subsequent translational decisions.

Is indigenous knowledge serving climate adaptation? Evidence from various African regions

SummaryMotivationCommunities across the global south use their rich indigenous and local knowledge (ILK) to predict weather events and climate hazards. ILK may assist efforts to address climate change challenges in Africa and make subsequent decisions regarding climate adaptation.PurposeThe article documents evidence of the ILK's potential in reducing vulnerability to climate change and/or improving the resilience of communities. The study also reflects on major barriers that hinder the improved mainstreaming of ILK into adaptation strategies.Methods and approachThe present study uses two main methods: a literature review and a presentation of case studies from a sample of African countries where ILK informs adaptation options, including indigenous land‐tenure practices and weather prediction. The selected case studies highlight the historical legacy of ILK and its effectiveness in reducing vulnerability and the impacts of climate change.FindingsThe results indicate that, despite being acknowledged as a valuable resource for climate adaptation, current national adaptation policies on the African continent still show serious gaps in effectively integrating ILK systems within the legal frameworks to reduce vulnerability.Policy implicationsILK should be better integrated with modern climate change adaptation strategies to anticipate more effective responses. Both rural communities and relevant government agencies should complement the use of ILK with climate change strategies, so as to maximize its contribution to the effective implementation of climate change policies.

Applying Convolutional Neural Network to Predict Soil Erosion: A Case Study of Coastal Areas.

The development of ecological restoration projects is unsatisfactory, and soil erosion is still a problem in ecologically restored areas. Traditional soil erosion studies are mostly based on satellite remote sensing data and traditional soil erosion models, which cannot accurately characterize the soil erosion conditions in ecological restoration areas (mainly plantation forests). This paper uses high-resolution unmanned aerial vehicle (UAV) images as the base data, which could improve the accuracy of the study. Considering that traditional soil erosion models cannot accurately express the complex relationships between erosion factors, this paper applies convolutional neural network (CNN) models to identify the soil erosion intensity in ecological restoration areas, which can solve the problem of nonlinear mapping of soil erosion. In this study area, compared with the traditional method, the accuracy of soil erosion identification by applying the CNN model improved by 25.57%, which is better than baseline methods. In addition, based on research results, this paper analyses the relationship between land use type, vegetation cover, and slope and soil erosion. This study makes five recommendations for the prevention and control of soil erosion in the ecological restoration area, which provides a scientific basis and decision reference for subsequent ecological restoration decisions.

Influence of advisees’ facial feedback on subsequent advice-giving by advisors: Evidence from the behavioral and neurophysiological approach

Previous work has demonstrated the interpersonal implications of advisees’ decisions (acceptance or rejection) on advisors’ advice-giving behavior in subsequent exchanges. Here, using an ERP technique, we investigated how advisees’ facial feedback (smiling, neutral, or frowning) accompanying their decisions (acceptance or rejection) influenced advisors’ feedback evaluation from advisees and their advice-giving in subsequent exchanges. Behaviorally, regardless of whether the advice was accepted or rejected, advisors who received smiling-expression feedback would show higher willingness rates in subsequent advice-giving decisions, while advisors who received frowning-expression feedback would show lower willingness rates. On the neural level, in the feedback evaluation stage, the FRN and P3 responses were not sensitive to facial feedback. In contrast, frowning-expression feedback elicited a larger LPC amplitude than neutral- and smiling-expression feedback, regardless of whether the advice was accepted or rejected. In the advice decision stage, advisors who received neutral-expression feedback showed a larger N2 in making decisions than advisors who received frowning-expression feedback only after the advice was rejected. Additionally, Advisors who received smiling- and neutral-expression feedback showed a larger P3 in making decisions than advisors who received frowning-expression feedback only after the advice was accepted. In sum, the current findings extended previous research findings by showing that the effect of advisees’ facial expressions on the advisors’ advice-giving existed in multiple stages, including both the feedback evaluation stage and the advice decision stage.

Person and the state from the perspective of the theory of correlation of subjects of constitutional law

The relevance of this study lies in the fact that, despite many years of research on the relationship between man and the state, problems in this part continue to persist, a panacea for establishing a complete understanding between these actors has not been found. This article is an attempt to answer some questions through the prism of the analysis of the constitutional and legal status of subjects based on the author’s theory of their relationship. This work is devoted to the study of the constitutional and legal status of a person, the state as a whole, the Russian Federation and state bodies from the standpoint of the theory of the correlation of subjects of law developed by the author, the essence of which is to establish and study absolutely all relations of subjects, including ineffective influence by virtue of powers, rights or duties that do not involve active actions, for subsequent legal regulation and accounting of what is really happening in life. In the preparation of this material, methods of analysis and synthesis were mainly used, since in order to consider the connections between the subjects, it was necessary to study each of them separately in order to come to the desired conclusions after the subsequent unification. A large volume of the invoice is taken from the scientific literature, in connection with which it is obvious to use the method of expert assessments. The result of the work done is to establish the true position of the subjects listed above in the system of their relationship with each other, which can be the basis for subsequent management decisions, the transformation of constitutional and legal regulation or further research by scientists interested in similar issues.

Influence of Utilitarian and Hedonic Attributes on Willingness to Pay Green Product Premiums and Neural Mechanisms in China: An ERP Study

Green consumption is expected to become a new driving force for sustainable economic growth. The production cost of green products leads to the existence of a green premium, which affects the willingness to pay for green consumption. Moreover, willingness to pay is influenced by the product’s own attributes, such as its hedonic and utilitarian attributes. Our study used the event-related potentials (ERPs) technique to investigate how product attributes and premiums affect information processing and subsequent decision-making by comparing consumers’ acceptance of hedonic and utilitarian green products with different levels of premiums. Behavioral results indicated that consumers were more willing to pay premiums for utilitarian attributes than for hedonic attributes. ERPs results showed that hedonic attributes induced a greater P2 component, suggesting that price increases for hedonic products elicited more cognitive attention in the early cognitive stage and that the high premium condition did not match the hedonic attributes. In the late cognitive stage, where the utilitarian attribute induced higher N4, the consumers used the green consumption concept as a reason to reduce the negative emotions generated by the hedonic attribute and thus were more willing to accept the green premium for the hedonic product. The findings can be used to explain the psychological and neural activities of consumers at different stages when faced with the degree of product attribute-premium and help companies optimize their pricing strategies by using green products’ attributes.

Self-efficacy to Get Cancer-Related Information or Advice.

Self-efficacy, or confidence, for being able to get cancer information may affect a person's understanding of cancer risk and subsequent cancer-related decisions such as screening, treatment, and genetic testing. In this study, we explored key correlates associated with self-efficacy for getting cancer information. We analyzed cross-sectional data from the 2018 Health Information National Trends Survey (HINTS 5, Cycle 2). There were 3504 responses in the full dataset; 2513 remained after eliminating respondents with incomplete data for all variables of interest. Self-efficacy for getting cancer information was assessed with the item, "Overall, how confident are you that you could get advice or information about cancer if you needed it?" First, we explored correlates associated with self-efficacy in getting cancer information including sociodemographic factors, patient-provider communication, and health-related self-efficacy in the full sample. Secondarily, we examined associations between self-efficacy to get cancer information and cancer information-seeking burden (e.g., difficulty understanding cancer information) in the subset of participants who reported ever looking for cancer-specific information. Descriptive statistics and logistic regressions were conducted. Asian race/ethnicity, higher perceived quality of patient-provider communication, and higher health-related self-efficacy were associated with higher odds of confidence about getting cancer information. In the subset of people who ever sought cancer-specific information, higher patient-provider communication scores, higher health-related self-efficacy, greater difficulty understanding information, greater concern about the quality of information, and greater frustration during the search were associated with higher self-efficacy for getting cancer information. Future research should evaluate strategies to improve cancer information seeking skills.

An Exploratory Study of Medical Journal's Twitter Use: Metadata, Networks, and Content Analyses.

An increasing number of medical journals are using social media to promote themselves and communicate with their readers. However, little is known about how medical journals use Twitter and what their social media management strategies are. This study aimed to understand how medical journals use Twitter from a global standpoint. We conducted a broad, in-depth analysis of all the available Twitter accounts of medical journals indexed by major indexing services, with a particular focus on their social networks and content. The Twitter profiles and metadata of medical journals were analyzed along with the social networks on their Twitter accounts. The results showed that overall, publishers used different strategies regarding Twitter adoption, Twitter use patterns, and their subsequent decisions. The following specific findings were noted: journals with Twitter accounts had a significantly higher number of publications and a greater impact than their counterparts; subscription journals had a slightly higher Twitter adoption rate (2%) than open access journals; journals with higher impact had more followers; and prestigious journals rarely followed other lesser-known journals on social media. In addition, an in-depth analysis of 2000 randomly selected tweets from 4 prestigious journals revealed that The Lancet had dedicated considerable effort to communicating with people about health information and fulfilling its social responsibility by organizing committees and activities to engage with a broad range of health-related issues; The New England Journal of Medicine and the Journal of the American Medical Association focused on promoting research articles and attempting to maximize the visibility of their research articles; and the British Medical Journal provided copious amounts of health information and discussed various health-related social problems to increase social awareness of the field of medicine. Our study used various perspectives to investigate how medical journals use Twitter and explored the Twitter management strategies of 4 of the most prestigious journals. Our study provides a detailed understanding of medical journals' use of Twitter from various perspectives and can help publishers, journals, and researchers to better use Twitter for their respective purposes.

Going from attitude to action: Analyzing how the orientations of sustainable food businesses influence their business strategies

AbstractFollowing an increasing interest in sustainable food systems, businesses have begun to look for ways to incorporate sustainability practices into their business models and strategies. However, the ability to follow through with their ambitions is obstructed by the attitude–behavior gap, a phenomenon that refers to the discrepancy between a decision‐maker's attitudes and beliefs and their resulting actions. This research studies the attitudes (including motives and intentions) of food‐related businesses in Thailand and their subsequent business decisions by conducting semi‐structured interviews with companies of varying sizes and types. The aim is to analyze possible gaps between attitudes and behaviors along the value chain management and explore relevant business practices. This study categorizes firms into profit, performance, and partnership orientations towards sustainability and concludes that different orientations result in differing degrees of attitude–behavior gap and divergent business strategies. Furthermore, business strategies in various markets are proposed to transition between sustainability orientations.