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Copyright of Canadian Journal of Dental Hygiene is the property of Canadian Dental Hygienists Association and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

We enjoyed reading Professor Efron's (Brad) paper just as much as we enjoyed listening to his June 2019 lecture in Leiden. Interestingly, Efron puts the pure predictive algorithms to the test in a scenario where the sample size is extremely moderate by today's standards ( I n i = 102). In the knockoff framework, one can use I any i black-box (any predictive model) to identify any kind possible association - linear or not - between a large set of explanatory variables Graph HT ht and an outcome I Y i . This framework rigorously tests whether the conditional distribution Graph HT ht actually depends on any of the variables I X SB j sb i without assuming any model for how I X i and I Y i are connected (Candès et al. [4]). [Extracted from the article]

The inductive logic of grounded theory and the principle of avoiding theoretical preconceptions are significantly different from the deductive logic and hypothesis testing of traditional quantitative research. Based on the limitations of theory production in quantitative research, this paper proposes a Computing Grounded Theory (CGT) approach that directly quantitatively assists theories. With the help of machine learning and attribution algorithms, CGT identifies variables that have not been the focus of previous studies based on the predictive power of the independent variables to propose new theoretical hypotheses, following the principle that causality is a sufficient and unnecessary condition for predictability. This paper systematically discusses CGT's basic idea, logical premise, and methodological foundation while providing an empirical example. This method bridges the gap in the theoretical production of quantitative research and is of great value in theory, discipline, knowledge systems and social governance. [ABSTRACT FROM AUTHOR]

The article comments on the paper about relation between correlation and causation by Charles Spearman. According to the author, the human mind played a key role in linking correlation with causation deterministically. She adds that correlation demonstrates its ability to quantify the strength of a causal relationship despite the absence of evidence of its effectivity. She also asserts the key role of correlation in scientific discovery and innovation.

Background. Social and organisational changes in businesses have led to the appearance of "emergent risks" which affect workers but are less evident and hard to quantify such as psychosocial risks. Linked to psychosocial risks, issues such as work‐related stress and workplace violence are major challenges to occupational health and safety. This paper analyses the trends in the concerns expressed by wage‐earners in Spain regarding psychosocial factors that may affect them in the workplace. Methods. A causal analysis based on the application of binary logistic regression is presented, covering certain social and occupational characteristics of survey respondents and the psychosocial factors included in the Spanish National Surveys of Working Conditions for 2007 and for 2011‐2012. Binary logistic regression is a multivariate statistical tool that serves as a classification technique, identifying the variables that affect the probability of the event to be studied (dichotomous variable). This technique has the advantage that it does not require that the explanatory variables follow a normal distribution. The aim is to estimate the influence of the explanatory variables on the probability of the occurrence of the event under study, represented by the explained variable. Results. During the economic crisis of 2008, workers became more concerned about losing their jobs and about factors related to personnel cutbacks and decreases in investment in the prevention of occupational risks. Downsizing due to the crisis led to increased workloads for many of those still in work. Thus, in 2011, the likelihood of workers being concerned about working hours was greater, especially among respondents aged 25–34 and those working in commerce and transport. Workload was found to be a particular concern among respondents aged 25–34 and among workers in transport, communication, financial, professional, and administrative activities; health‐related activities; and industry. Conclusions. Policy should also be directed towards improving the structural aspects of psychosocial variations, in terms of work conditions, employment protection, and employment security to protect workers against income fluctuations as a result of job loss. [ABSTRACT FROM AUTHOR]

Background: Involving men and boys as both users and supporters of Family Planning (FP) is now considered essential for optimising maternal and child health outcomes. Evidence on how to engage men and boys to meet FP needs is therefore important. Objectives: The main objective of this review was to assess the strength of evidence in the area and uncover the effective components and critical process‐ and system‐level characteristics of successful interventions. Search Methods: We searched nine electronic databases, seven grey literature databases, organisational websites, and the reference lists of systematic reviews relating to FP. To identify process evaluations and qualitative papers associated with the included experimental studies, we used Connected Papers and hand searches of reference lists. Selection Criteria: Experimental and quasi‐experimental studies of behavioural and service‐level interventions involving males aged 10 years or over in low‐ and middle‐income countries to increase uptake of FP methods were included in this review. Data Collection and Analysis: Methodology was a causal chain analysis involving the development and testing of a logic model of intervention components based on stakeholder consultation and prior research. Qualitative and quantitative data relating to the evaluation studies and interventions were extracted based on the principles of 'effectiveness‐plus' reviews. Quantitative analysis was undertaken using r with robust variance estimation (RVE), meta‐analysis and meta‐regression. Qualitative analysis involved 'best fit' framework synthesis. Results: We identified 8885 potentially relevant records and included 127 in the review. Fifty‐nine (46%) of these were randomised trials, the remainder were quasi‐experimental studies with a comparison group. Fifty‐four percent of the included studies were assessed as having a high risk of bias. A meta‐analysis of 72 studies (k = 265) showed that the included group of interventions had statistically significantly higher odds of improving contraceptive use when compared to comparison groups (odds ratio = 1.38, confidence interval = 1.21 to 1.57, prediction interval = 0.36 to 5.31, p < 0.0001), but there were substantial variations in the effect sizes of the studies (Q = 40,647, df = 264, p < 0.0001; I2 = 98%) and 73% was within cluster/study. Multi‐variate meta‐regression revealed several significant intervention delivery characteristics that moderate contraceptive use. These included community‐based educational FP interventions, interventions delivered to women as well as men and interventions delivered by trained facilitators, professionals, or peers in community, home and community, or school settings. None of the eight identified intervention components or 33 combinations of components were significant moderators of effects on contraceptive use. Qualitative analysis highlighted some of the barriers and facilitators of effective models of FP that should be considered in future practice and research. Authors' Conclusions: FP interventions that involve men and boys alongside women and girls are effective in improving uptake and use of contraceptives. The evidence suggests that policy should continue to promote the involvement of men and boys in FP in ways that also promote gender equality. Recommendations for research include the need for evaluations during conflict and disease outbreaks, and evaluation of gender transformative interventions which engage men and boys as contraceptive users and supporters in helping to achieve desired family size, fertility promotion, safe conception, as well as promoting equitable family planning decision‐making for women and girls. [ABSTRACT FROM AUTHOR]

The article examines the effect of attribution theory to sales management. By looking at research articles written between 1980-2004 that incorporate attribution theory to explain problems in sales management, the author analyzes the success of attribution theory when applied to sales research. Trend analysis of citations of 21 papers is used to compare the influence of attribution research in sales management, services marketing, and studies of salespeople by psychologists. Further research implications are also addressed.

Purpose: The purpose of this paper is to provide managers with insights to help survive a crisis, create advantage during slow-growth recoveries and thrive when the crisis is over. Given the environment at the time of this paper, this paper focuses on widespread crises, such as a public health crisis like COVID-19. Design/methodology/approach: The authors offer a conceptual framework, grounded in the attribution theory and situation crisis communication theory (SCCT), for managers to use when determining which crisis response strategy is most appropriate to use during a crisis. Propositions based on this framework are provided. This paper focuses on widespread crises, such as a public health crisis, particularly on the COVID-19 pandemic. Based on the framework proposed for organizational crisis response strategy and recovery, several insights for managers across a variety of industries emerge. Consideration of the best strategic approach to a crisis is essential, and time is critical. This framework provides a starting point for creating a proper response strategy when a crisis arises that is not within the organization's crisis management planning. Managerial implications for several industries, such as restaurant, hotel, airline, education, retail, medical and other professional services, and theoretical implications to further the advancement of understanding are provided. Findings: The findings of this paper demonstrate that organizations that apply an accommodative strategy during unintentional crises will survive, while during intentional crises, they will thrive in the marketplace. Similarly, organizations that apply an offensive strategy during unintentional crises will thrive, while during intentional crises, they will survive in the marketplace. Practical implications: This paper provides a framework highlighting strategies that best protect an organization during both internally and externally caused crises. The response strategy and crisis framework are based on the attribution theory and SCCT. Building on this framework, six propositions are postulated. In keeping with this strategy and crisis framework, this study provides several crisis response insights for managers across a variety of industries. These suggestions act as a guide for managers when assessing how to respond in the early days of a crisis and what to do to recover from it. Originality/value: This paper provides a crisis-strategy matrix, grounded in the attribution theory and SCCT, to provide decision-making guidance to help managers survive a crisis, create advantage during slow-growth recoveries and thrive when the crisis is over. The authors provide multiple industry insights related to the "how to" and the "what to" in the recovery from and survival through internally and externally caused crises. [ABSTRACT FROM AUTHOR]

Objective: To assess the significance of adverse events after spinal manipulation therapy (SMT) by replicating and critically reviewing a paper commonly cited when reviewing adverse events of SMT as reported by Ernst (J Roy Soc Med 100:330-338, 2007). Method: Replication of a 2007 Ernst paper to compare the details recorded in this paper to the original source material. Specific items that were assessed included the time lapse between treatment and the adverse event, and the recording of other significant risk factors such as diabetes, hyperhomocysteinemia, use of oral contraceptive pill, any history of hypertension, atherosclerosis and migraine. Results: The review of the 32 papers discussed by Ernst found numerous errors or inconsistencies from the original case reports and case series. These errors included alteration of the age or sex of the patient, and omission or misrepresentation of the long term response of the patient to the adverse event. Other errors included incorrectly assigning spinal manipulation therapy (SMT) as chiropractic treatment when it had been reported in the original paper as delivered by a non-chiropractic provider (e.g. Physician). The original case reports often omitted to record the time lapse between treatment and the adverse event, and other significant clinical or risk factors. The country of origin of the original paper was also overlooked, which is significant as chiropractic is not legislated in many countries. In 21 of the cases reported by Ernst to be chiropractic treatment, 11 were from countries where chiropractic is not legislated. Conclusion: The number of errors or omissions in the 2007 Ernst paper, reduce the validity of the study and the reported conclusions. The omissions of potential risk factors and the timeline between the adverse event and SMT could be significant confounding factors. Greater care is also needed to distinguish between chiropractors and other health practitioners when reviewing the application of SMT and related adverse effects. [ABSTRACT FROM AUTHOR]

Understanding lay theories on the causes of economic inequality is the first step to comprehending why people tolerate, justify, or react against it. Accordingly, this paper aims to develop and validate with two cross-sectional studies the Attributions for Cross-Country Inequality Scale (ACIS), which assesses how people explain cross-country economic inequality–namely, the uneven distribution of income and wealth between poor and rich countries. After selecting and adapting items from existing scales of attributions for poverty and wealth, in Study 1, we tested the factorial structure of this initial pool of items in three countries with different levels of economic development and inequality, namely, Italy (n = 246), the UK (n = 248), and South Africa (n = 228). Three causal dimensions emerged from the Exploratory Factor Analysis: "rich countries" (blaming the systematic advantage of and exploitation by rich countries), "poor countries" (blaming the dispositional inadequacy and faults of poor countries), and "fate" (blaming destiny and luck). The retained items were administered in Study 2 to three new samples from Italy (n = 239), the UK (n = 249), and South Africa (n = 248). Confirmatory Factor Analysis (CFA) corroborated the factorial structure of the ACIS, and Multi-Group CFA supported configural and metric invariances of the scale across countries. In addition, we show internal consistency and construct validity of the scale: the scale correlates with relevant constructs (e.g., beliefs about cross-country inequality and ideological orientation) and attitudes toward relevant policies related to international redistribution and migration. Overall, the scale is a valid instrument to assess causal attribution for cross-national inequality and is reliable across countries. By focusing on resource distribution from an international perspective, this scale will allow researchers to broaden the discussion on economic inequality to a global level. [ABSTRACT FROM AUTHOR]

The paper is focused on some issues of the current Israeli-Palestinian conflict from the point of view of international law. The main topic is terrorism, the question of the possibility of viewing terrorism as a new form of aggression is examined. This part is followed by a chapter on the internal structure of Palestinian representation. Attention is also given to more general issues of responsibility of some non-state actors, rebel movements, de facto authorities, de facto government, de facto regimes, and private individuals. This is followed by the main part of this paper, which is dedicated to the issues of the attribution of the actions of the Hamas movement to the Palestinian Authority. [ABSTRACT FROM AUTHOR]

Conducting a vulnerability and risk assessment (VRA) is a critical step in adaptation planning and implementation. This research paper has assessed how the co-developed approach helped the Government of Nepal and stakeholders in Nepal to agree on and operationalize the vulnerability and risk assessment framework and what works best for the country's context. The methodological framework consists of eight steps including (i) scoping, (ii) reviewing the framework (iii) identifying data sources (iv) exploring data sources, nature, and character (v) data collection, tabulation, filtration, and normalization (vi) weightage and composite value (vii) analysis of the data (viii) identifying climate change impact, vulnerability, and risk. The output of the vulnerability and risk assessment in Nepal presents a compilation of impacts, vulnerabilities, and risks and a description of their context, root causes, and trends. These research-based assessment can be used to draw some possible adaptation options and improved decision-making at the national and sub-national levels. However, there were some challenges faced in analyzing the vulnerability and risks based on the indicators. There was a lack of a multi-year, complete, and uniform database, and difficulties in developing scenarios of hazards due to unclarity on climate change attribution. The lessons from this paper will be important for designing a more practical and country-driven VRA framework and methodology for other countries. [ABSTRACT FROM AUTHOR]

Understanding students' learning of knowledge components (KCs) is an important educational data mining task and enables many educational applications. However, in the domain of computing education, where program exercises require students to practice many KCs simultaneously, it is a challenge to attribute their errors to specific KCs and, therefore, to model student knowledge of these KCs. In this paper, we define this task as the KC attribution problem. We first demonstrate a novel approach to addressing this task using deep neural networks and explore its performance in identifying expert-defined KCs (RQ1). Because the labeling process takes costly expert resources, we further evaluate the effectiveness of transfer learning for KC attribution, using more easily acquired labels, such as problem correctness (RQ2). Finally, because prior research indicates the incorporation of educational theory in deep learning models could potentially enhance model performance, we investigated how to incorporate learning curves in the model design and evaluated their performance (RQ3). Our results show that in a supervised learning scenario, we can use a deep learning model, code2vec, to attribute KCs with a relatively high performance (AUC > 75% in two of the three examined KCs). Further using transfer learning, we achieve reasonable performance on the task without any costly expert labeling. However, the incorporation of learning curves shows limited effectiveness in this task. Our research lays important groundwork for personalized feedback for students based on which KCs they applied correctly, as well as more interpretable and accurate student models. [ABSTRACT FROM AUTHOR]

Copyright of Análisis Filosófico is the property of Sociedad Argentina de Analisis Filosofico and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This paper investigates the escalation dynamics of cyber attacks. Two main theories have been advanced. First, "means-based" theory argues attack type determines response; cyber attacks are less likely to escalate than kinetic attacks. Second, "effects-based" theory argues an attack's material consequences determine the likelihood of retaliation. We advance a third perspective, arguing that the covertness of an attack has the largest effect on its propensity towards escalation. We identify two characteristics of covertness that affect support for retaliation: the certainty of attribution and its timing. We use a survey experiment to assess public support for retaliation, while varying the means, effects, timing, and attribution certainty of attacks. We find no evidence for the effects-based approach, instead finding high levels of support for retaliation regardless of an attack's scale. We find that the most significant contributor to support for retaliation is an attack's covertness. [ABSTRACT FROM AUTHOR]

Background: Medically unexplained symptoms (MUS) account for 3–50% of all General Practitioner (GP) consultations and are difficult to diagnose due to their unknown aetiology, symptom overlap between conditions, and lack of effective treatment options. MUS patients' and primary care clinicians frequently face challenges during consultations, with GPs reporting difficulty identifying and classifying MUS, whilst patients report stigma and feeling illegitimised by clinicians. Communication interventions have been proposed as a method to facilitate the doctor-patient relationship and aid the management of MUS. Aim: This systematic review aims to evaluate the effectiveness of primary care based communication interventions at improving MUS patients' and/or clinician outcomes. Method: Four electronic databases were searched from inception to November 2021. Two researchers independently undertook screening, data extraction and quality appraisal. Given the heterogeneous nature of the studies identified, narrative syntheses were conducted, along with meta-analyses where possible to pool data. Results: 9 papers from 10 Randomised Controlled Trials were included. The included studies displayed considerable risk of bias and poor reporting. Some limited evidence suggests that communication interventions tailored to MUS and not following a pre-specified model (such as reattribution) could improve pain, mental and physical functioning whilst reattribution training may improve clinician confidence treating MUS. However, methodological limitations mean that these findings should be interpreted with caution. Conclusion: A range of interventions for improving communication with MUS patients in primary care have been evaluated. However, the heterogeneous nature of existing evidence and poor study quality mean we cannot conclude whether these interventions are effective. Before considering further randomised controlled trials researchers should focus on developing a new or modified communication intervention for MUS patients and their clinicians. Trail registration: The systematic review was prospectively registered with PROSPERO (registration record CRD42020206437). [ABSTRACT FROM AUTHOR]

Ageing with a disability increases the risk of hospitalization and nursing home admission. Ageing in place interventions aiming to reduce disability are often not sufficiently effective and inadequately theory-based. There are many models available on disability, but it is unclear how they define disability, what their differences are, and how they evolved throughout the years. This paper aims to provide an overview of the evolution of these models and to elaborate on the causal mechanisms of disability. A literature review was conducted as part of the TRANS-SENIOR international training and research network. PubMed and Google Scholar were searched, and snowball sampling was applied to eligible publications. Data were extracted from the included publications, and a thematic analysis was performed on the retrieved data. Overall, 29 publications were included in the final sample. All included models arose from three original models and could be divided into two types: linear models and models on the interaction between the person and the environment. Thematic analysis led to three distinct evolutionary trends: (1) from a unidirectional linear path to a multidirectional nonlinear path, (2) from the consequences of disease towards the consequences of person–environment interaction, and (3) from disability towards health and functioning. Our findings suggest that by optimizing the use of personal as well as environmental resources, and focusing on health and functioning, rather than disability, an older person's independence and wellbeing can be improved, especially while performing meaningful daily activities in accordance with the person's needs and preferences. [ABSTRACT FROM AUTHOR]

The arrival of the national fitness boom has enabled the marathon as a large-scale sports event to attract the attention of a sufficient number of sports enthusiasts in a relatively short period of time. These people attracted by the event will have a series of expenses and expenditures also precisely reflect the prominent role of sports events on social and economic effects. In this paper, the AISAS consumption behavior model is used as the theoretical research model, and the survey data of urban marathon participants is used as the basis for analysis. The methods of generating attention, interest surveys, information search methods, actual consumption items and amounts during the action, and postmatch satisfaction and information sharing willingness and methods have been analyzed and counted in detail, and spss21.0 software is used to analyze the statistics. The results are analyzed. In addition, this paper studies the effect of the subspace weighting algorithm based on the singular value of random matrix on the urban marathon. Using the results of the eigenvalues of the sample covariance matrix in random matrix theory, the energy of each subspace is estimated, and then the subspace weighting matrix is constructed with the estimated energy. Through the calculation of the weights of the indicators, the weights of the three-level indicators of the event quality are ranked in the order of participation experience, cooperative media level, enthusiasm of local residents to watch the competition, registration status of the competition, number of sponsors, quality of sponsors, enthusiasm of local residents to participate in the competition, media value, and number of cooperative media algorithm, in which the marathon economic effect is defined as the estimated angle where the deviation between the estimated value and the true value exceeds 20%, that is, the root mean square error of the estimated angle is greater than 10%. In the first-level indicators, the quality of the event to evaluate the impact of the event itself has been added. The quality of the event is the influence of the urban marathon itself, which originates from the quality of the marathon itself. At the same time, the quality of the urban marathon is also the foundation of its economic, social, and environmental impact on the host site, so the quality of the urban marathon is an important impact indicator. [ABSTRACT FROM AUTHOR]

Unlike previous studies that have measured comparative advertising effectiveness through such hypothetical constructs as beliefs, attitudes, and intentions, this experiment extends research by examining the impact of comparative advertising on purchase behavior. Results contradict the findings of previous research and show that comparative advertising outweighs its noncomparative counterpart in sales effectiveness. [ABSTRACT FROM AUTHOR]

The paper proposes and evidences that a more frequent mentioning of a service issue in an online restaurant review makes the readers blame the restaurant more for the issue. This inside attribution, in turn, may worsen the restaurant evaluation. Two experiments (Study 1 and 2) examine this mechanism using different stimuli. In both experiments, consumers exposed to high (vs. low) mentioning-frequency reviews attributed the issue more inside the restaurant and evaluated the restaurant lower. Additionally, the paper considers the role of consumer analytical processing (Study 1) and perceived review helpfulness (Study 2) in the relationships between mentioning frequency and issue attribution. The paper extends the existing literature by applying the attribution theory to the context of frequency information in online reviews. The results guide marketers dealing with negative online reviews by suggesting the way to deal with high-mentioning-frequency negative reviews. [ABSTRACT FROM AUTHOR]

Copyright of Revista d'Estudis Autonòmics i Federals is the property of Revista d'Estudis Autonomics i Federals and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Purpose: The purpose of this paper is to examine the effects of political orientation on corporate social (ir)responsibility. In specific, it investigates CEO political liberalism, and its moderation with government political liberalism on corporate social responsibility (CSR) and corporate social irresponsibility (CSIR). Design/methodology/approach: Panel regression analysis was conducted using 3,136 firm-year observations of 751 CEOs in the USA. Findings: Results show that the effects of CEO liberalism are positive on CSR and negative on CSIR. During the reign of a democrat president, however, CEO political liberalism shows different impacts on CSR and CSIR. Interactions between the same political orientations are negatively associated with CSR, but not significantly associated with CSIR. Originality/value: The primary contribution of this paper is in presenting the interactive effects of external environment and CEO attributions on CSIR. [ABSTRACT FROM AUTHOR]

INTRODUCTION The relationship between smoking and heart disease has been frequently reported. Therefore, we aimed to explore the association between smoking initiation and atrial fibrillation. METHODS Genetic association data pertaining to smoking initiation and atrial fibrillation were obtained from genome-wide association studies (GWAS). Phenotypically related single nucleotide polymorphisms (SNPs) were selected as instrumental variables. Inverse-variance weighted (IVW), weighted median, Mendelian randomization (MR), Egger regression, simple mode, and weighted mode methods were employed to perform the MR study. The association between smoking initiation and atrial fibrillation was evaluated using odds ratios (OR) and 95% confidence intervals (CI). Cochran's Q test was employed to assess heterogeneity among instrumental variables, utilizing the IVW and MR-Egger methods. The Egger-intercept method was employed to test for horizontal pleiotropy, and the 'leave-one-out' method was utilized for sensitivity analysis. RESULTS The MR results for the effect of smoking initiation on atrial fibrillation (IVW, OR=1.11; 95% CI: 1.02-1.20, p=0.013) supported an association between smoking initiation and an increased likelihood of atrial fibrillation. In total, 85 SNPs were extracted from the GWAS pooled data as instrumental variables. The MR-Egger method indicated an intercept close to 0 (Egger intercept= -0.005, p=0.371), suggesting no horizontal pleiotropy in the selected instrumental variables. The 'leave-one-out' sensitivity analysis demonstrated that the results were robust and that no instrumental variables significantly influenced the results. Reverse MR analysis indicated no effect of atrial fibrillation on smoking initiation (IVW, OR=1.00; 95% CI: 0.99-1.02, p=0.684). CONCLUSIONS Smoking initiation has a significant impact on atrial fibrillation. However, atrial fibrillation did not influence smoking initiation. This study provides novel insights into the genetic relationships between smoking initiation and atrial fibrillation. [ABSTRACT FROM AUTHOR]

Copyright of Hypnos is the property of Hypnos / Instituto Hypnos and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Recurrent events—outcomes that an individual can experience repeatedly over the course of follow-up—are common in epidemiologic and health services research. Studies involving recurrent events often focus on time to first occurrence or on event rates, which assume constant hazards over time. In this paper, we contextualize recurrent event parameters of interest using counterfactual theory in a causal inference framework and describe an approach for estimating a target parameter referred to as the mean cumulative count. This approach leverages inverse probability weights to control measured confounding with an existing (and underutilized) nonparametric estimator of recurrent event burden first proposed by Dong et al. in 2015. We use simulations to demonstrate the unbiased estimation of the mean cumulative count using the weighted Dong-Yasui estimator in a variety of scenarios. The weighted Dong-Yasui estimator for the mean cumulative count allows researchers to use observational data to flexibly estimate and contrast the expected number of cumulative events experienced per individual by a given time point under different exposure regimens. We provide code to ease application of this method. [ABSTRACT FROM AUTHOR]

Terms like 'levels' and 'nested' are used to describe relationships between components of conceptual systems (theories, models etc.). However, they have not been fully explored. This paper investigates levels to better understand how theories are structured and so how we may develop more useful theories and models to better support more effective practice. We find a horizontal dimension (represented by causal connections between concepts at one ontological level) and a vertical dimension (represented by connections of emergence between concepts of differing ontological levels). This view of emergence offers a new way to structurally distinguish between conceptual components of a theory, thus supporting a new approach to building theories that better reflects our systemic world. A third, perspectival, approach may be applied to aid in the understanding of both dimensions. A typology is proposed as are conventions for diagramming theories and new criteria for improving the structure of theories. [ABSTRACT FROM AUTHOR]

Since the industrial revolution, the relationship between unemployment and psychiatric disorders has been a subject of high interest. Currently, regarding the correlation between unemployment and substance-use disorders (SUDs), only older, often isolated and fragmented research results are available in the literature. This review was based on an extensive literature search of the European and North American literature in most relevant databases for "unemployment" and "substance use" related to "drugs", "alcohol", "nicotine", and "tobacco" between November 2022 and January 2023, according to the PRISMA (Preferred Reporting Items for Systematic review and Meta-Analysis) guidelines. A total of 59,117 papers were identified, of which only 33 articles were identified as relevant to the research objective. The literature showed significantly higher prevalence rates of SUDs involving divergent psychotropic substances among unemployed people. Unemployment was found to be a risk factor for SUD, and vice versa. However, the correlation between unemployment and relapses or smoking cessation was inconsistent. In addition, there appeared to be a mild effect of business cycles on SUD. The results showed significant multifaceted correlations between unemployment and SUD, indicating that prevention and early intervention are required to prevent harmful psychosocial consequences, such as social disintegration and severe psychiatric disorders. [ABSTRACT FROM AUTHOR]

Background: To reduce overall healthcare costs, several countries have attempted to shift services from specialist to primary care. This was also the main strategy of the Coordination Reform introduced in Norway in 2012. An important part of the reform was the introduction of Municipal Acute Wards (MAWs), a type of community hospital aimed at reducing admissions to general hospitals. The main objective of this paper is to investigate whether the implementation of MAWs had a causal effect on hospital admissions. Methods: Monthly admission rates in total and by age groups for patients admitted with acute or elective conditions at internal medicine or surgical departments were analyzed using panel data regression techniques. We identified causal effects by exploiting the sequential roll out of the MAWs within fixed effect analyses. Our data covered all municipalities from start of 2010 until the end of 2017. Results: The sequential implementation of the MAWs started during the summer of 2012. By the beginning of 2016 close to all municipalities had an operative MAW. The introduction of MAWs significantly reduced acute hospital admissions. The effect was strongest for patients ≥80 years admitted acutely to internal medicine departments. The effects were even stronger if the MAW had a physician on site 24/7 or was located close to a local emergency center. Conclusion: Our findings suggest that this type of intermediate care unit is a viable option to alleviate the burden on hospitals by reducing acute secondary care admission volumes. [ABSTRACT FROM AUTHOR]

There is considerable interest in exploring effects of coronavirus disease 2019 (COVID-19) pandemic on mental health. Suicide is one of the leading causes of mortality worldwide and changes in daily life brought by the pandemic may be additional risk factors in people with pre-existing mental disorders. This rapid PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) scoping review aims to identify and analyze current evidence about the relation between COVID-19 pandemic outbreak, along with COVID-19 disease and severe acute respiratory syndrome coronavirus 2 (SARS-CoV2) infection, and suicide in individuals with previously diagnosed mental disorders. First, we conducted a comprehensive review of the literature, then proceeded to discuss findings in a narrative way. Tables were constructed and articles sorted according to the studies' methodologies. 53 papers were eventually identified as eligible, among which 33 are cross-sectional studies, 9 are longitudinal studies, and 11 studies using other methodologies. Despite suffering from a mental disorder is a risk factor for suicidal behavior per se, the advent of COVID-19 pandemic may exacerbate this relation. Nevertheless, data addressing a clear correlation between suicidal behavior and the pandemic outbreak are still controversial. Longitudinal analysis using validated suicide scales and multicenter studies could provide deeper insight and knowledge about this topic. [ABSTRACT FROM AUTHOR]

This paper revisits Meindl et al’s (1985) ‘romance of leadership’ thesis and extends these ideas in a number of inter-related ways. First, it argues that the thesis has sometimes been neglected and/or misinterpreted in subsequent studies. Second, the paper suggests that romanticism is a much broader and more historically rich term with wider implications for leadership studies than originally proposed. Arguing that romanticism stretches beyond leader attribution, we connect leadership theory to a more enduring and naturalistic tradition of romantic thought that has survived and evolved since the mid-18th century. Third, the paper demonstrates the contemporary relevance of the romanticism critique. It reveals how the study of leadership continues to be characterized by romanticizing tendencies in many of its most influential theories, illustrating this argument with reference to spiritual and authentic leadership theories, which only recognize positive engagement with leaders. Equally, the paper suggests that romanticism can shape conceptions not only of leaders, but also of followers, their agency and their (potential for) resistance. We conclude by discussing future possible research directions for the romanticism critique that extend well beyond its original focus on leader attribution to inform a broader critical approach to leadership studies. [ABSTRACT FROM AUTHOR]

Data papers and open databases have revolutionized contemporary science, as they provide the long‐needed incentive to collaborate in large international teams and make natural history information widely available. Nevertheless, most data papers have focused on species occurrence or abundance, whereas interactions have received much less attention. To help fill this gap, we have compiled a georeferenced data set of interactions between 93 bat species of the family Phyllostomidae (Chiroptera) and 501 plant species of 68 families. Data came from 169 studies published between 1957 and 2007 covering the entire Neotropical Region, with most records from Brazil (34.5% of all study sites), Costa Rica (16%), and Mexico (14%). Our data set includes 2571 records of frugivory (75.1% of all records) and nectarivory (24.9%). The best represented bat genera are Artibeus (28% of all records), Carollia (24%), Sturnira (10.1%), and Glossophaga (8.8%). Carollia perspicillata (187), Artibeus lituratus (125), Artibeus jamaicensis (94), Glossophaga soricina (86), and Artibeus planirostris (74) were the bat species with the broadest diets recorded based on the number of plant species. Among the plants, the best represented families were Moraceae (17%), Piperaceae (15.4%), Urticaceae (9.2%), and Solanaceae (9%). Plants of the genera Cecropia (46), Ficus (42), Piper (40), Solanum (31), and Vismia (27) exhibited the largest number of interactions. These data are stored as arrays (records, sites, and studies) organized by logical keys and rich metadata, which helped to compile the information on different ecological and geographic scales, according to how they should be used. Our data set on bat–plant interactions is by far the most extensive, both in geographic and taxonomic terms, and includes abiotic information of study sites, as well as ecological information of plants and bats. It has already facilitated several studies and we hope it will stimulate novel analyses and syntheses, in addition to pointing out important gaps in knowledge. Data are provided under the Creative Commons Attribution 4.0 International License. Please cite this paper when the data are used in any kind of publication related to research, outreach, and teaching activities. [ABSTRACT FROM AUTHOR]

Copyright of Cadernos de Gestão Pública e Cidadania is the property of Fundacao Getulio Vargas, Escola Brasileira de Administracao Publica e de Empresas and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

INTRODUCTION We aim to assess the association between smoking behavior and intracranial aneurysms (IAs) and the effect of smoking cessation medications on IAs at the genetic level. METHODS Causal effects of four phenotypes: 1) age at initiation of regular smoking, 2) cigarettes smoked per day, 3) smoking cessation, and 4) smoking initiation on IAs, were analyzed using two-sample inverse-variance weighted Mendelian randomization analyses. The effects of genes interacting with the smoking cessation medications were analyzed using cis-expression quantitative trait loci genetic instruments on IAs using summary statistics-based Mendelian randomization analyses. Colocalization analyses were then used to test whether the genes shared causal variants with IAs. The role of confounding phenotypes as potential causative mechanisms of IAs at these gene loci was tested. RESULTS Cigarettes smoked per day (OR=2.89; 95% CI:1.85-4.51) and smoking initiation on IAs (OR=4.64; 95% CI: 2.64-8.15) were significantly associated with IA risk. However, age at initiation of regular smoking (OR=0.54; 95% CI: 0.10-2.8) and smoking cessation (OR=6.80; 95% CI: 0.01-4812) had no overall effect on IAs. Of 88 genes that interacted with smoking cessation medications, two had a causal effect on IA risk. Genetic variants affecting HYKK levels showed strong evidence of colocalization with IA risk. Higher HYKK levels in the blood were associated with a lower IA risk. Gene target analyses revealed that cigarettes/ day could be a main mediator of HYKK's effect on IA risk. CONCLUSIONS This study provides evidence supporting that smoking initiation on IAs and cigarettes/day may increase IA risk. Increased HYKK gene expression may reduce IA risk. This can be explained by the increased number of cigarettes consumed daily. HYKK could also reduce IA risk due to the positive effect of continuous abstinence and varenicline therapy on smoking cessation. [ABSTRACT FROM AUTHOR]

Copyright of TECHNE: Journal of Technology for Architecture & Environment is the property of Firenze University Press and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Time series sensor data classification tasks often suffer from training data scarcity issue due to the expenses associated with the expert-intervened annotation efforts. For example, Electrocardiogram (ECG) data classification for cardio-vascular disease (CVD) detection requires expensive labeling procedures with the help of cardiologists. Current state-of-the-art algorithms like deep learning models have shown outstanding performance under the general requirement of availability of large set of training examples. In this paper, we propose Shapley Attributed Ablation with Augmented Learning: ShapAAL, which demonstrates that deep learning algorithm with suitably selected subset of the seen examples or ablating the unimportant ones from the given limited training dataset can ensure consistently better classification performance under augmented training. In ShapAAL, additive perturbed training augments the input space to compensate the scarcity in training examples using Residual Network (ResNet) architecture through perturbation-induced inputs, while Shapley attribution seeks the subset from the augmented training space for better learnability with the goal of better general predictive performance, thanks to the "efficiency" and "null player" axioms of transferable utility games upon which Shapley value game is formulated. In ShapAAL, the subset of training examples that contribute positively to a supervised learning setup is derived from the notion of coalition games using Shapley values associated with each of the given inputs' contribution into the model prediction. ShapAAL is a novel push-pull deep architecture where the subset selection through Shapley value attribution pushes the model to lower dimension while augmented training augments the learning capability of the model over unseen data. We perform ablation study to provide the empirical evidence of our claim and we show that proposed ShapAAL method consistently outperforms the current baselines and state-of-the-art algorithms for time series sensor data classification tasks from publicly available UCR time series archive that includes different practical important problems like detection of CVDs from ECG data. [ABSTRACT FROM AUTHOR]

Drawing on a branch of CDA, the discourse-historical Approach (Reisigl, Wodak 2009), Mottura analyses Chinese political discourse in a diachronic perspective, tracing changes in the Constitution of the People's Republic of China, which convey powerful ideological messages to the Chinese people. The present paper examines the argumentative patterns of interactional metadiscourse use in the disciplines of Economics and Law, and draws from Hyland's analytical framework of metadiscourse markers along with other integrative frameworks in a representative corpus of social science empirical research articles in the chosen fields. Chapters 5 and 6 both have a specific focus on discourse genre and the attendant medium of communication, albeit in two very different fields of discourse, academic research articles, and a leading social media platform. Lingue e Linguaggi Lingue Linguaggi 42 (2021), 7-22 ISSN 2239-0367, e-ISSN 2239-0359 DOI 10.1285/i22390359v42p7 http://siba-ese.unisalento.it, © 2021 Università del Salento This work is licensed under a Creative Commons Attribution 3.0 INTRODUCTION JANET BOWKER UNIVERSITÀ DI ROMA "LA SAPIENZA " This Special Issue of Lingue e Linguaggi is the product of a Colloquium held from the 13 th to the 14 th of June 2019, at the Faculty of Economics, Sapienza University of Rome. [Extracted from the article]

In this paper, we explore referral-based hiring practices and show how a referrer’s power (relative to the hiring manager) influences other organizational members’ support (or lack thereof) for who is hired, through perceptions of the hiring manager’s motives and morality. We apply principles derived from the literature on attribution of motives to research on relational power to delineate a model that explains employees’ moral evaluations of and reactions to referral practices based on the power relationship between a referrer and a hiring manager. Specifically, we predict that employees are more likely to see the acceptance of a referral from a higher- (as opposed to a lower-) power referrer as a way for the hiring manager to gain more power in the relationship with the referrer, thereby attributing more self-interested motives and more counter-organizational motives to the hiring manager in such situations. These motives are then associated with harsher moral judgments of the hiring manager, which in turn lead to less support for the hiring decision. We find support for our model in two experimental studies and two field studies. We discuss implications for the literature on referral practices, ethics, and observers’ reactions to power dynamics. [ABSTRACT FROM AUTHOR]

Many machine learning tasks in neuroimaging aim at modeling complex relationships between a brain’s morphology as seen in structural MR images and clinical scores and variables of interest. A frequently modeled process is healthy brain aging for which many image-based brain age estimation or age-conditioned brain morphology template generation approaches exist. While age estimation is a regression task, template generation is related to generative modeling. Both tasks can be seen as inverse directions of the same relationship between brain morphology and age. However, this view is rarely exploited and most existing approaches train separate models for each direction. In this paper, we propose a novel bidirectional approach that unifies score regression and generative morphology modeling and we use it to build a bidirectional brain aging model. We achieve this by defining an invertible normalizing flow architecture that learns a probability distribution of 3D brain morphology conditioned on age. The use of full 3D brain data is achieved by deriving a manifold-constrained formulation that models morphology variations within a low-dimensional subspace of diffeomorphic transformations. This modeling idea is evaluated on a database of MR scans of more than 5000 subjects. The evaluation results show that our bidirectional brain aging model (1) accurately estimates brain age, (2) is able to visually explain its decisions through attribution maps and counterfactuals, (3) generates realistic age-specific brain morphology templates, (4) supports the analysis of morphological variations, and (5) can be utilized for subject-specific brain aging simulation. [ABSTRACT FROM AUTHOR]

Post-authorship attribution is a scientific process of using stylometric features to identify the genuine writer of an online text snippet such as an email, blog, forum post, or chat log. It has useful applications in manifold domains, for instance, in a verification process to proactively detect misogynistic, misandrist, xenophobic, and abusive posts on the internet or social networks. The process assumes that texts can be characterized by sequences of words that agglutinate the functional and content lyrics of a writer. However, defining an appropriate characterization of text to capture the unique writing style of an author is a complex endeavor in the discipline of computational linguistics. Moreover, posts are typically short texts with obfuscating vocabularies that might impact the accuracy of authorship attribution. The vocabularies include idioms, onomatopoeias, homophones, phonemes, synonyms, acronyms, anaphora, and polysemy. The method of the regularized deep neural network (RDNN) is introduced in this paper to circumvent the intrinsic challenges of post-authorship attribution. It is based on a convolutional neural network, bidirectional long short-term memory encoder, and distributed highway network. The neural network was used to extract lexical stylometric features that are fed into the bidirectional encoder to extract a syntactic feature-vector representation. The feature vector was then supplied as input to the distributed high networks for regularization to minimize the network-generalization error. The regularized feature vector was ultimately passed to the bidirectional decoder to learn the writing style of an author. The feature-classification layer consists of a fully connected network and a SoftMax function to make the prediction. The RDNN method was tested against thirteen state-of-the-art methods using four benchmark experimental datasets to validate its performance. Experimental results have demonstrated the effectiveness of the method when compared to the existing state-of-the-art methods on three datasets while producing comparable results on one dataset. [ABSTRACT FROM AUTHOR]

This article is an extension of a work in progress paper originally presented at the conference FiE 2020, Frontiers in Education by (Schirichian et al., 2020), as a result of Schirichian’s master’s in science dissertation. It studies the relations between academic performance, protection factors, life at university, and personal characteristics to understand how they influence students’ academic success in undergraduate engineering programs in Brazil. In this challenging environment, several students overcome these issues and graduate, which indicates that some protection structures allow students to face challenging situations and be successful in their studies. Current research studied the relationships between academic performance, self-efficacy, causal attributions, personal characteristics, and life at university, with a group of 30 students. Models were studied by combining the different variables and aspects evaluated in the research, and the findings show relationship between academic performance and: 1) self-efficacy, causal attributions, and personal characteristics (such as leisure activities, living with their parents, or college accommodations) and those who attended private schools during basic education; 2 protection factors self-efficacy and causal attributions with advancing in the program and the time of enrolment in the university; and 3) the dimensions initiation and persistence, success/internality and failure/internality, indicating that those who perceive themselves as playing a major role in their academic journey tend to have better outcomes. Further results show the influence of social inequalities, particularly for those students who declared themselves brown and who conducted their basic education in public schools (which are generally of lower quality than private ones in Brazil). [ABSTRACT FROM AUTHOR]

Purpose: Marketing managers have strategic choices when forming brand alliances. One such choice is integration, defined as the extent to which the offering is a fusion in the form and function of the partner brands. The paper aims to investigate how integration affects consumer attribution of responsibility to brand alliance partners. Design/methodology/approach: This paper builds on the previous study on brand alliances and attribution theory. Multiple experiments are used to test three hypotheses. Findings: This research shows that consumers are sensitive to the level of alliance integration, which, in turn, affects attributions of responsibility for the joint offering. Consistent with attribution theory, results show that responsibility for each brand varies systematically by integration and lead brand status vis-à-vis the alliance: while consumers perceive both brands as equally responsible for higher integration brand alliances, responsibility attributions diverge in lower integration alliances based on whether the brand is the alliance host. This pattern also holds for product-harm events. Research limitations/implications: It is important to explore brand alliance characteristics and to date, the level of integration between the partners has not been considered from a consumer standpoint. Consumers are sensitive to the level of partner brand integration and this perception influences perceptions of responsibility. Practical implications: Managers should be aware that the level of brand alliance integration and lead brand status lead to different attributions of responsibility, which is strategically important, as brands seek to take credit in positive contexts and avoid blame for negative events. Originality/value: This paper explores brand alliances via the level of integration and leads brand status, which are key determinants of consumer attributions of responsibility. [ABSTRACT FROM AUTHOR]

Purpose: The purpose of this paper is to examine bystanders' supervisor-directed deviance to vicarious abusive supervision by supervisor-directed attribution. Furthermore, this study developed a moderated–mediation model to explore how LMX between bystander and his/her supervisor moderate the relationship between vicarious abusive supervision and the supervisor-directed attribution, which subsequently influences bystanders' supervisor-directed deviance. Design/methodology/approach: The paper tested the model using a sample of 336 workers using a two-wave survey. A moderated–mediation analysis was conducted with bootstrapping procedure to test the first stage moderated–mediation model in this study. Findings: The results showed that LMX (between bystander and his/her supervisor) weakens the indirect relationship between vicarious abusive supervision and supervisor-directed deviance by bystanders' supervisor-directed attribution. Practical implications: Leadership training programs should be conducted to caution supervisors in terms of the deleterious consequences of vicarious abusive supervision. Organizations also should plan perception and communication training courses for leaders; such training would reduce bystanders' responsibility attribution to them by providing timely explanations and communication. Furthermore, organizations should monitor supervisors by managers' performance appraisal and formulate rules to punish abusive managers. Originality/value: These results clarify the nature and consequences of LMX (dyadic relationships of bystanders–supervisor) for bystanders' attribution process, and explain underlying attributional perceptions and reactions to vicarious abusive supervision. This study provides a more nuanced understanding of when and how vicarious abusive supervision leads to bystanders' supervisor-directed deviance. [ABSTRACT FROM AUTHOR]

The authors argue that the avoidance of causal thinking may lead to biased results and inadvertently hinders progress in the field. They discuss the importance of thinking casually, the barriers to adopting causal thinking by using Directed Acyclic Graphs (DAGs), and how to start embracing causality.

This paper presents two experiments examining the influences of media-specific appraisal and attribution on multimedia learning. The first experiment compares four different versions of learning material (text, text with images, animation with text, and animation with audio). Results reveal that the attributed type of appraisal, (i.e., the subjective impression of whether a medium is easy or difficult to learn with) impacts invested mental effort and learning outcomes. Though there was no evidence for the modality effect in the first experiment, we were able to identify it in a second study. We were also able to replicate appraisal and attribution findings from study 1 in study 2: if media appraisal leads to the result that learning with a specific medium is difficult, more mental effort will be invested in information processing. Consequently, learning outcomes are better, and learners are more likely to attribute knowledge acquisition to their own abilities. Outcomes also indicate that the modality effect can be explained by avoidance of split-attention rather than modality-specific information processing in working memory. [ABSTRACT FROM AUTHOR]

Copyright of Revista de Derecho Privado (0123-4366) is the property of Universidad Externado de Colombia, Departmento de Derecho Civil and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Auxiliary sections that support the reader's understanding of the review, such as keywords and glossaries, are also useful to include, and author contributions and any conflicts of interest should be clearly outlined, usually in dedicated sections of the review. This shouldn't preclude early career researchers from writing review articles, with the mentorship of experienced colleagues - gaining experience in writing review articles early on in your career is a great way to hone your analytical and writing skills. Literature reviews are valuable resources for the scientific community. The advice given here is mostly relevant for the writing of a traditional literature-based review rather than other forms of review such as a systematic review or meta-analysis, which have their own criteria and guidelines [2,3]. [Extracted from the article]

Background: In psychological research, control conditions in the form of "treatment as usual" provide support for intervention efficacy, but do not allow the attribution of positive outcomes to the unique components of the treatment itself. Attentionally and structurally equivalent active control conditions, such as health education (HE), have been implemented in recent trials of cognitive behavioural therapy (CBT). However, descriptions and evaluations of these control conditions are limited. The aims of this paper were to (i) provide a detailed description and rationale for a novel HE active control condition and (ii) to evaluate the face validity, treatment integrity and feasibility of HE. Method: We developed a HE active control similar in structure and duration to a CBT intervention for reducing sleep disturbance and fatigue (CBT-SF) in a pilot randomised controlled trial (n = 51). Face validity was measured using post-treatment participant satisfaction and helpfulness ratings for fatigue and sleep symptoms, treatment fidelity was measured with integrity monitoring ratings from an independent expert and feasibility was measured with completion and attrition rates. HE and CBT-SF groups were compared using Wilcoxon rank-sum tests and chi-square tests of independence. Results: There were no significant differences in participant ratings of overall satisfaction between HE (n = 17) and CBT (n = 34) or in how helpful each intervention was for fatigue symptoms. Participants rated helpfulness for sleep symptoms higher in the CBT-SF group compared to HE. Integrity monitoring ratings were not significantly different for overall treatment delivery and therapist competency, but HE had greater module adherence than CBT-SF. There were no significant differences in completion or attrition rates between groups. Conclusion: Our findings suggest that the HE control had adequate face validity, was delivered with fidelity and was feasible and suitable for use as a comparator for CBT-SF. In providing a real-world example of practical and theoretical issues we considered when designing this control condition, we aim to provide a framework and guidance for future investigators. Trial registration: ACTRN12617000879369 (registered 15/06/2017) and ACTRN12617000878370 (registered 15/06/2017). [ABSTRACT FROM AUTHOR]

The paper attempts to deconstruct the production of the myth associated with a street renovation project in Riga's historical centre. During and after the reconstruction of Barona Street, it was widely used as a public image of street renovation failure. Professional and civil society blamed ad hoc planning, wrong traffic organisation, inappropriate design, and poor construction quality. It is this association of solely spatial aspects with the failure to create qualitative public space that constitutes the core of the Barona Street Myth of Failed design. The article postulates that interaction of social identity and social emotions underline communicative landscapes when significant public spaces are being transformed and induce mythologizing of urban projects. Built on the analysis of the related reflections and criticism in media and public discussions, the thick description of the Barona Street project's events attempts to show how socially and emotionally shaped perception of design and implementation process by involved social groups has contributed to the mythologising the renovation of Barona Street. The conclusions emphasize socio-psychological framing of urban analysis. The emotional implication of the Barona Street myth induces reattribution of the responsibility for Failed Design to individual political leaders, designers, and involved municipal workers, shifting public attention away from structural and governance inability to engage with public spaces and creating preconditions for involving urban project as a tool in political power games. [ABSTRACT FROM AUTHOR]

Copyright of Theoria: An International Journal for Theory, History & Foundations of Science is the property of Universidad del Pais Vasco, Servicio Editorial and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In this commentary, I review the insights that have been gained using Rothman's sufficient cause model (Am J Epidemiol. 1976;104(6):587-592). Discussion pertains to the relations of the model to similar conceptualizations in other fields of study, the advances and extensions that have been made to the model since the paper's publication, and its relation to questions of actual causation, along with questions concerning the use of the model in the future of epidemiology. [ABSTRACT FROM AUTHOR]