COVID-19-Associated Cognitive Biases on Pneumonia Differential Diagnosis.

The coronavirus disease 2019 (COVID-19) pandemic favors cognitive biases such as anchoring and availability biases. The first refers to overvaluing some of the initial information and establishing a diagnosis too early, with resistance to future adjustments. The latter happens when diagnoses more frequently considered are regarded as more common in reality. This case, in which the correct diagnosis was delayed due to these biases, highlights the need to remain aware of them as a means toward timely diagnosis and therapeutic success of pneumonia cases. An 84-year-old woman presented with a mild non-productive cough for two months and fever. She had a history of breast carcinoma treated with radiotherapy in the previous year. Computerized tomography (CT) showed extensive bilateral consolidation foci with ground-glass-opacification areas and bilateral pleural effusion, CO-RADS 3. COVID-19 with bacterial superinfection was suspected and levofloxacin was initiated. Nasopharyngeal swab polymerase chain reaction (PCR) was carried out three times, always negative for SARS-CoV-2. As the patient remained with fever and cough, the antibiotic was escalated to piperacillin/tazobactam and then to meropenem/vancomycin. She underwent bronchofibroscopy and alveolar lavage, with negative SARS-CoV-2 PCR. The re-evaluation CT scan maintained bilateral consolidations, with an aerial bronchogram. The biopsy of pulmonary consolidation allowed the diagnosis of radiation-induced organizing pneumonia. Prednisolone was initiated and achieved clinical remission and radiological improvement. This case highlights the need to remain aware of cognitive biases both when COVID-19 is suspected or ruled out and to consider other diagnoses when there is a lack of therapeutic response.

Seeing oneself as an unattractive loser: Similar interpretation and memory biases in adolescents with anorexia nervosa and adolescents with depression or anxiety.

OBJECTIVE: Anorexia nervosa (AN) is characterised by dysfunctional cognitive biases but these have rarely been investigated in adolescents with AN. The present study systematically assessed cognitive biases in adolescents with AN and addressed the questions of content-specificity (i.e., do biases occur only for eating disorder-related information?) and disorder-specificity (i.e., are biases unique to individuals with AN?). METHODS: Cognitive biases on three information processing levels (attention, interpretation, memory) and for two types of information content (eating disorder-related, non-eating disorder-related) were assessed within a single experimental paradigm based on the Scrambled Sentences Task. 12-18-year-old adolescents with AN (n = 40) were compared to a healthy (HC; n = 40) and a clinical (girls with depression and/or anxiety disorders; CC; n = 34) control group. RESULTS: Both clinical groups (AN and CC) showed pronounced negative interpretation and memory biases compared to the HC group, for both disorder-related and non-disorder-related information. Attention biases could not be analysed. CONCLUSION: The results support the hypothesis that adolescents with AN show negative cognitive biases but these were not limited to disorder-related information. Adolescents with depression and/or anxiety disorders showed similar biases, suggesting them to be transdiagnostic phenomena. Important implications for cognitive-behavioural theories of AN, subsequent cognitive bias modification studies in AN, as well as clinical practice are discussed.

Gender biases in the evaluation of knowledge transfer: A meta-evaluative analysis of the Spanish "Knowledge Transfer and Innovation Sexennium".

This paper analyses from a gender perspective a pilot call for evaluating academics and researcher transfer and innovation activities, launched by the Spanish Government in 2018, known as the "Knowledge Transfer & Innovation Sexennium" (KT&IS). Not only women's participation was much lower than that of men (1 woman applicant for every 3 men applicants), but also, they showed lower success rates than men in all scientific fields, with an average gap of more than 13 points. The methodology combined an exploratory quantitative analysis of the almost 17,000 applications, with a meta-evaluative qualitative analysis through interviews to key actors of the evaluation program and focus groups with evaluators. Hidden biases operating throughout and in each of the different phases of the KT&IS evaluation process were identified. This article aims at contributing to how economic and social impact of research can be fairly and fully evaluated, as well as at facilitating the design of future evaluation calls that promote the effective advancement of gender equality in all science-related activities and transfer to society.

Integrating perspectives in developing mycorrhizal trait databases: a call for inclusive and collaborative continental efforts.

Global assessments of mycorrhizal symbiosis present large sampling gaps in rich biodiversity regions. Filling these gaps is necessary to build large-scale, unbiased mycorrhizal databases to obtain reliable analyses and prevent misleading generalizations. Underrepresented regions in mycorrhizal research are mainly in Africa, Asia, and South America. Despite the high biodiversity and endemism in these regions, many groups of organisms remain understudied, especially mycorrhizal fungi. In this Viewpoint, we emphasize the importance of inclusive and collaborative continental efforts in integrating perspectives for comprehensive trait database development and propose a conceptual framework that can help build large mycorrhizal databases in underrepresented regions. Based on the four Vs of big data (volume, variety, veracity, and velocity), we identify the main challenges of constructing a large mycorrhizal dataset and propose solutions for each challenge. We share our collaborative methodology, which involves employing open calls and working groups to engage all mycorrhizal researchers in the region to build a South American Mycorrhizal Database. By fostering interdisciplinary collaborations and embracing a continental-scale approach, we can create robust mycorrhizal trait databases that provide valuable insights into the evolution, ecology, and functioning of mycorrhizal associations, reducing the geographical biases that are so common in large-scale ecological studies.

Does facial structure explain differences in student evaluations of teaching? The role of fWHR as a proxy for perceived dominance.

Dominance is usually viewed as a positive male attribute, but this is not typically the case for women. Using a novel dataset of student evaluations of teaching in a school of Business and Economics of a selective university, we construct the face width-to-height ratio (fWHR) as a proxy for perceived dominance to assess whether individuals with a higher ratio obtain better evaluations. Our results show that a higher fWHR is associated with a better evaluation for male faculty, while the opposite is the case for female faculty. These results are not due to differences in teachers' quality or beauty. In terms of magnitude, the effect of the fWHR is much larger for female professors. To the extent that fWHR is a good proxy of perceived dominance, it appears that conformity to traditional gender norms pays off for both men and women. However, the cost of challenging these norms is much larger for women than for men.

[Family reconstitution and online genealogies to analyze the sex-specific differential mortality in the historical context]. / Familienrekonstitution und Online-Genealogien zur Analyse der geschlechtsspezifischen differenziellen Sterblichkeit im historischen Kontext.

BACKGROUND: Family reconstitution and data from online genealogies, such as FamiLinx, are two potential sources for investigating mortality dynamics for the period before official lifetables became available. In this paper, we use two of them, the family reconstitution of Imhof and the FamiLinx dataset based on geni.com, to estimate dynamics in life expectancy and discuss the sex-specific differential mortality in the German Empire. METHOD: Sex-specific lifetables are estimated for the territory of the German Empire from the individual data of the family reconstitution and the online genealogies. On the basis of these lifetables, we estimate the conditional life expectancy and derive the corresponding sex-specific differential mortality. Findings are compared with the official lifetable of the German Empire in 1871-1910. The contribution of each age group to the differential mortality is determined using the stepwise-replacement algorithm. RESULTS: The family reconstitution overestimates conditional life expectancy less than FamiLinx after 1871, when official lifetables are available in the German Empire. However, both sources fail to capture the sex-specific mortality differentials of the official lifetables at the end of the nineteenth century and show a higher life expectancy for males instead of females. The bias in sex-specific mortality rates is particularly pronounced in the age groups 15 to 45. DISCUSSION: Finally, we discuss possible explanations for the biased findings. Notability bias, the patriarchal approach to family trees, and maternal mortality are important mechanisms in the FamiLinx dataset. Censoring due to mobility serves as a potential reason for the bias in the family reconstitution.

Adieu Bias: Debiasing Intuitions Among French Speakers.

Recent debiasing studies have shown that a short, plain-English explanation of the correct solution strategy can improve reasoning performance. However, these studies have predominantly focused on English-speaking populations, who were tested with problem contents designed for an English-speaking test environment. Here we explore whether the key findings of previous debiasing studies can be extended to native French speakers living in continental Europe (France). We ran a training session with a battery of three reasoning tasks (i.e., base-rate neglect, conjunction fallacy, and bat-and-ball) on 147 native French speakers. We used a two-response paradigm in which participants first gave an initial intuitive response, under time pressure and cognitive load, and then gave a final response after deliberation. Results showed a clear training effect, as early as the initial (intuitive) stage. Immediately after training, most participants solved the problems correctly, without the need for a deliberation process. The findings confirm that the intuitive debiasing training effect extends to native French speakers.

How Can Debiasing Research Aid Efforts to Reduce Discrimination?

PUBLIC ABSTRACT: Scientists studying intergroup biases are often concerned with lessening discrimination (unequal treatment of one social group versus another), but many interventions for reducing such biased behavior have weak or limited evidence. In this review article, we argue one productive avenue for reducing discrimination comes from adapting interventions in a separate field-judgment and decision-making-that has historically studied "debiasing": the ways people can lessen the unwanted influence of irrelevant information on decision-making. While debiasing research shares several commonalities with research on reducing intergroup discrimination, many debiasing interventions have relied on methods that differ from those deployed in the intergroup bias literature. We review several instances where debiasing principles have been successfully applied toward reducing intergroup biases in behavior and introduce other debiasing techniques that may be well-suited for future efforts in lessening discrimination.

Threat sensitivity in emotion dynamics: Negativity effects and sex differences.

Evolutionary theorizing has given rise to the idea that responding to any particular threat may be more mandatory than responding to any particular reward. The present three experiments (total N = 375) sought to provide support for this perspective in an emotion dynamics task in which participants continuously rated their affective state in response to appetitive (reward-related) versus aversive (threat-related) images. Even when equating images for arousal and extremity, several negativity effects (e.g., steeper reactivity slopes in response to aversive images) were found. These negativity effects can serve as an experimental model of threat sensitivity, which should predispose some individuals, more than others, to symptoms related to fear and anxiety. This point was made with respect to sex differences, given that women (relative to men) are diagnosed with anxiety disorders at higher rates. Sex differences were pronounced and extensions of this work, both basic and applied, are proposed.

Mutational biases favor complexity increases in protein interaction networks after gene duplication.

Biological systems can gain complexity over time. While some of these transitions are likely driven by natural selection, the extent to which they occur without providing an adaptive benefit is unknown. At the molecular level, one example is heteromeric complexes replacing homomeric ones following gene duplication. Here, we build a biophysical model and simulate the evolution of homodimers and heterodimers following gene duplication using distributions of mutational effects inferred from available protein structures. We keep the specific activity of each dimer identical, so their concentrations drift neutrally without new functions. We show that for more than 60% of tested dimer structures, the relative concentration of the heteromer increases over time due to mutational biases that favor the heterodimer. However, allowing mutational effects on synthesis rates and differences in the specific activity of homo- and heterodimers can limit or reverse the observed bias toward heterodimers. Our results show that the accumulation of more complex protein quaternary structures is likely under neutral evolution, and that natural selection would be needed to reverse this tendency.

Do metacognitive therapies for schizophrenia-spectrum disorders work? A meta-analytic investigation.

Recent reviews and meta-analyses of metacognitive therapy for schizophrenia-spectrum disorder (SSD) have included uncontrolled studies, single-session interventions, and/or analyses limited to a single form of metacognitive therapy. We sought to evaluate the efficacy of metacognitive therapies more broadly based on controlled trials (CT) of sustained treatments. We conducted a pre-registered meta-analysis of controlled trials that investigated the effects of meta-cognitive therapies on primary positive symptom outcomes, and secondary symptom, function and/or insight measures. Electronic databases were searched up to March 2022 using variants of the keywords, 'metacognitive therapy', 'schizophrenia', and 'controlled trial'. Studies were identified and screened according to PRISMA guidelines. Outcomes were assessed with random effects models and sample, intervention, and study quality indices were investigated as potential moderators. Our search identified 44 unique CTs with usable data from 2423 participants. Data were extracted by four investigators with reliability >98%. Results revealed that metacognitive therapies produced significant small-to-moderate effects on delusions (g = 0.32), positive symptoms (g = 0.30) and psychosocial function (g = 0.31), and significant, small effects on cognitive bias (g = 0.25), negative symptoms (g = 0.24), clinical insight (g = 0.29), and social cognition (g = 0.27). Findings were robust in the face of sample differences in age, education, gender, antipsychotic dosage, and duration of illness. Except for social cognition and negative symptoms, effects were evident even in the most rigorous study designs. Thus, results suggest that metacognitive therapies for SSD benefit people, and these benefits transfer to function and illness insight. Future research should modify existing treatments to increase the magnitude of treatment benefits.

Black and White Adults' Racial and Gender Stereotypes of Psychopathology Symptoms in Black and White Children.

Adults' judgments of children's behaviors play a critical role in assessment and treatment of childhood psychopathology. Judgments of children's psychiatric symptoms are likely influenced by racial biases, but little is known about the specific racial biases adults hold about children's psychiatric symptoms, which could play a critical role in childhood mental health disparities. This study examined one form of such biases, racial stereotypes, to determine if White and Black adults hold implicit and explicit racial stereotypes about common childhood psychopathology symptoms, and if these stereotypes vary by child gender and disorder type. Participants included 82 self-identified Black men, 84 Black woman, 1 Black transgender individual, 1 Black genderfluid individual, 81 White men, and 85 White women. Analyses of implicit stereotypes revealed that White adults associated psychopathology symptoms more strongly with Black children than did Black adults (p < .001). All adults held stronger implicit racial stereotypes for oppositional defiant disorder, anxiety, and depression than for attention-deficit/hyperactivity disorder (p < .001). For explicit stereotypes, White adults generally associated psychopathology symptoms more with Black children than did Black adults but effects varied across child gender and disorder type. As the first study to examine racial and gender stereotypes across common childhood psychopathology symptoms, these findings point to a need for further investigation of the presence and impact of racial biases in the mental healthcare system for Black youth and to identify interventions to mitigate the impacts of racial biases to inform racial equity in mental healthcare in the United States.

Disorder-specific versus transdiagnostic cognitive mechanisms in anxiety and depression: Machine-learning-based prediction of symptom severity.

INTRODUCTION: Psychiatric evaluation of anxiety and depression is currently based on self-reported symptoms and their classification into discrete disorders. Yet the substantial overlap between these disorders as well as their within-disorder heterogeneity may contribute to the mediocre success rates of treatments. The proposed research examines a new framework for diagnosis that is based on alterations in underlying cognitive mechanisms. In line with the Research Domain Criteria (RDoC) approach, the current study directly compares disorder-specific and transdiagnostic cognitive patterns in predicting the severity of anxiety and depression symptoms. METHODS: The sample included 237 individuals exhibiting differing levels of anxiety and depression symptoms, as measured by the STAI-T and BDI-II. Random Forest regressors were used to analyze their performance on a battery of six computerized cognitive-behavioral tests targeting selective and spatial attention, expectancy, interpretation, memory, and cognitive control biases. RESULTS: Unique anxiety-specific biases were found, as well as shared anxious-depressed bias patterns. These cognitive biases exhibited relatively high fitting rates when predicting symptom severity (questionnaire scores common range 0-60, MAE = 6.03, RMSE = 7.53). Interpretation and expectancy biases exhibited the highest association with symptoms, above all other individual biases. LIMITATIONS: Although internal validation methods were applied, models may suffer from potential overfitting due to sample size limitations. CONCLUSION: In the context of the ongoing dispute regarding symptom-centered versus transdiagnostic approaches, the current study provides a unique comparison of these two views, yielding a novel intermediate approach. The results support the use of mechanism-based dimensional diagnosis for adding precision and objectivity to future psychiatric evaluations.

Exploring the lack of articular ends at the Middle Pleistocene site of Qesem Cave, Israel.

Biased skeletal part representation is a key element for making inferences about transport decisions, carcass procurement, and use patterns in anthropogenic accumulations. In the absence of destructive taphonomic processes, it is often assumed that the abundance of different anatomical portions represents selective transport and discard patterns of human groups. Because body parts may be transported for specific products such as meat, marrow or grease, a pattern that usually attracts attention in many archaeological sites is the low proportions of appendicular epiphyses. Here we present the case of faunal assemblages from the lower stratigraphic sequence of Qesem Cave, Israel, dated to ca. 430 to 300 ka. All bone accumulations are characterized by a biased skeletal profile including mainly long-limb bones and a virtual absence of epiphyses. The assemblages also show density-mediated attrition not linked to fossil-diagenetic processes, a targeted specific destruction to the most greasy articular ends and an almost total absence of carnivore intervention. Our goal here is to explore the processes that entail the destruction of appendicular epiphyses at Qesem Cave, as well as propose viable hypotheses to explain their underrepresentation on-site. Our results shed light on the domestic activities linked to the processing of bones at the site and support the importance of animal grease in the caloric intake of Middle Pleistocene humans.

Disgust as a basic, sexual, and moral emotion.

Disgust is a basic emotion that increases the organism's survival success by preventing the transfer of pathogens. In this regard, it directs cognitive processes and motivates avoidance behaviors that prevent pathogens from entering the body. Moreover, disgust has many specific characteristics that distinguish it from other basic emotions. Firstly, unlike other basic emotions, it contaminates neutral objects around it and causes difficult-to-change learning. Another specific characteristic of disgust is that it depends on ideational processes. Objects, situations, and behaviors that do not contain pathogens can also cause disgust. In this regard, disgust appears not only as a basic emotion but also as different adaptations in different fields. In this context, two distinct adaptations of disgust stand out: sexual and moral disgust. These two adaptations of disgust benefit from disgust-related behaviors and motivations in different ways. Sexual disgust works as a gene protection mechanism, while moral disgust helps maintain social rules. The specific characteristics of disgust and its effects on cognitive processes such as attention and memory interact. In conclusion, the multifaceted structure of disgust shows that it needs to be studied more in the subfields of psychology. (Strohminger, Philos Compass 9:478-493, 2014) defines disgust as a psychological nebula that needs to be discovered. However, it is observed that disgust has not been adequately addressed. This review aims to comprehensively explore unique characteristics and diverse aspects of disgust, shedding light on its significance from various perspectives. This study underscores the broader understanding of disgust and its pivotal role in psychological research.

Cognitive Biases and Socio-Occupational Functioning Mediate the Relationship between Executive Functions and the Severity of Psychopathology among Young Adults with Psychotic-like Experiences: 1-Year Follow-Up Study.

The aim of this study was to investigate whether Trail Making Test (TMT) performance is associated with the severity of psychopathological symptoms related to psychosis among young adults with elevated level of psychotic-like experiences (PLEs), and whether this relationship is mediated by cognitive biases and socio-occupational functioning. A total of 187 subjects from a larger population of 6722 young adults participated in this 1-year follow-up study. The inclusion criteria were an elevated level of PLEs (the highest score of the Prodromal Questionnaire) and a lack of schizophrenia diagnosis. Eventually, 134 subjects (71.6%) completed the TMT, as well as the DACOBS scale (cognitive biases), at baseline and were examined twice using the CAARMS (psychopathology) and SOFAS (socio-occupational functioning) scales. In the first (I) and second (II) measurements, the calculated effects indicate indirect-only mediations, which explained 35 and 38% of the variance of the CAARMS. The TMT B execution time was positively associated with the DACOBS scale (ß = 0.19, p = 0.028), which was negatively related to the SOFAS I (ß = -0.37, p < 0.001) and SOFAS II (ß = -0.20, p = 0.016) measurements. A lower score on the SOFAS I predicted a higher score on the CAARMS I (ß = -0.50, p < 0.001), and a lower SOFAS II predicted a higher score on the CAARMS II (ß = -0.61, p < 0.001). Subtle EF dysfunctions may, over time, translate into a greater severity of symptoms related to psychosis in people with elevated PLEs, and this is mediated by a deterioration of their metacognition and socio-occupational functioning.

Shifts in Students' Attitudes Towards Pain Patients, Pain, and Opioid Management Following a Dedicated Medical School Pain Curriculum.

Objective: To examine the immediate effects of a comprehensive pain course on medical students' pre-existing perceptions and attitudes toward pain patients and opioid management. Methods: First-year medical students at a major academic medical center enrolled in a required pre-clerkship pain course in June 2020 and completed pre- and post-course online surveys with Likert-scale questions about their attitudes toward pain management and opioid-related issues. Additionally, the surveys included a free-text question where the students listed the first five words that came to mind when hearing the word "opioids". These words were categorized as "professional" or "lay" words and further as having "positive", "negative", or "neutral" connotations. Data analyses included descriptive statistics, as well as non-parametric and parametric tests. Results: Fifty-four of the 119 students responded to pretest and posttest surveys and were included in paired analyses. There was a significant difference between the number of professional words used before (M=1.21, SD=0.97) and after the course (M=2.40 SD=1.33); t(52)=-6.39, P<0.001. Students also used more lay-positive words after the course (M=0.81, SD=0.63) than they used pre-course (M=0.23, SD=0.43); t(51)=-5.98, P<0.001. Students' post-course responses to several key Likert-scale questions showed significant shifts toward more positive attitudes about caring for patients with pain. For example, students acknowledged greater comfort in providing opioids for chronic pain (P<0.001) where appropriate, and enhanced interest in handling complex pain cases (P<0.001). Conclusion: Results showed that a comprehensive, multi-disciplinary pain course could greatly enhance first-year medical students' attitudes toward pain management, chronic pain patients, and the complex issues surrounding opioids.

Corrigendum: Acceptance, initial trust formation, and human biases in artificial intelligence: focus on clinicians.

[This corrects the article DOI: 10.3389/fdgth.2022.966174.].

Violenza sessuale nei conflitti: la pandemia ombra. Una rassegna di questioni controverse.

This article explores the persistent and deeply troubling issue of conflict-related sexual violence (CRSV) throughout history and in contemporary conflicts. It examines the roots of wartime sexual violence in wartime, the evolving international legal framework for the protection of civilians, and the emergence of concerns about the protection of women and girls from such violence. The article delves into controversial aspects, including competing theories to explain CRSV, the challenges in obtaining accurate data on its prevalence, and the often-overlooked issue of CRSV against men and boys. It also addresses the cultural and societal factors that perpetuate CRSV and the long-lasting consequences on survivors. The article concludes by underscoring the importance of comprehensive care for survivors and the need to tackle the deep-seated causes of this violence, including gender inequality.

A systematic review of performance-based assessment studies on cognitive biases in schizophrenia spectrum psychoses and clinical high-risk states: A summary of 40 years of research.

Cognitive models of psychosis have stimulated empirical studies on cognitive biases involved in schizophrenia spectrum psychoses and their symptoms. This systematic review aimed to summarize the studies on the role of cognitive biases as assessed in different performance-based tasks in schizophrenia spectrum psychoses and clinical high-risk states. We focused on five cognitive biases linked to psychosis, i.e., aberrant salience, attentional biases, source monitoring biases, jumping to conclusions, and bias against disconfirmatory evidence. We identified N = 324 studies published in N = 308 articles fulfilling inclusion criteria. Most studies have been cross-sectional and confirmed that the schizophrenia spectrum psychoses are related to exaggerated cognitive biases compared to healthy controls. On the contrary, less evidence suggests a higher tendency for cognitive biases in the UHR sample. The only exceptions were source monitoring and jumping to conclusions, which were confirmed to be exaggerated in both clinical groups. Hallucinations and delusions were the most frequent symptoms studied in the context of cognitive biases. Based on the findings, we presented a hypothetical model on the role of interactions between cognitive biases or additive effects of biases in shaping the risk of psychosis. Future research is warranted for further development of cognitive models for psychosis.