Model of Carbon Footprint Assessment for the Life Cycle of the System of Wastewater Collection, Transport and Treatment.

This article presents a model of the environmental assessment of the system of wastewater collection, transport and treatment. The model was developed based on an original environmental assessment method of a system consisting of four elements: septic tanks, household wastewater treatment plants, a sewerage system and a central wastewater treatment plant. To conduct the environmental assessment, the Life Cycle Assessment technique was applied. The Intergovernmental Panel on Climate Change (IPCC) method was also applied, which enabled the determination of the carbon footprint of the analysed wastewater management system. This article presents the outline of an original method applied to create a model and an inventory of the data necessary for environmental assessment and the application of the model for the environmental assessment of a system of wastewater collection, transport and treatment in a city with over 50.000 inhabitants. Three feasible variants (from a functional, technical, organizational and financial point of view) of the system's development were analysed. The variants were subjected to comparative analysis using the solution. The obtained results, together with the assessment method can be used as a practical tool to assess whether the European Commission's guidelines are met, as well as the challenges facing wastewater management in the circular economy are overcome.

The bhsdtr package: a general-purpose method of Bayesian inference for signal detection theory models.

We describe a novel method of Bayesian inference for hierarchical or non-hierarchical equal variance normal signal detection theory models with one or more criteria. The method is implemented as an open-source R package that uses the state-of-the-art Stan platform for sampling from posterior distributions. Our method can accommodate binary responses as well as additional ratings and an arbitrary number of nested or crossed random grouping factors. The SDT parameters can be regressed on additional predictors within the same model via intermediate unconstrained parameters, and the model can be extended by using automatically generated human-readable Stan code as a template. In the paper, we explain how our method improves on other similar available methods, give an overview of the package, demonstrate its use by providing a real-study data analysis walk-through, and show that the model successfully recovers known parameter values when fitted to simulated data. We also demonstrate that ignoring a hierarchical data structure may lead to severely biased estimates when fitting signal detection theory models.

Stressful Life Events, Cognitive Biases, and Symptoms of Depression in Young Adults.

Although the link between stressful experiences and depression has been supported in numerous studies, the specific mechanisms of this relationship are still unclear. Cognitive theories of depression postulate that the influence of stress on depression may be modified by cognitive factors. The aim of the present study was to examine the interplay between negative life events, cognitive vulnerability factors, and depressive symptoms. It was hypothesized that the relationship between negative life events and symptoms of depression is shaped by rumination and cognitive biases. The study sample consisted of 108 young adults (19 men and 89 women; M = 20.31; SD = 1.84). Memory bias and attentional bias were assessed using the Attentional Blink Task and the Memory Task, respectively. Rumination and depressive symptoms were assessed via self-report questionnaires. Logistic regression and moderation analyses were conducted to examine the relationship between the study variables. Stressful life events, rumination and memory bias were found to be significantly related to depressive symptoms. Moderation analyses revealed that there is a positive relationship between negative life events and depressive symptoms but only among individuals characterized by an elevated level of rumination and among participants exhibiting negative attentional bias. The results provide further evidence for cognitive models of depression.

Kama muta: Conceptualizing and measuring the experience often labelled being moved across 19 nations and 15 languages.

English-speakers sometimes say that they feel "moved to tears," "emotionally touched," "stirred," or that something "warmed their heart;" other languages use similar passive contact metaphors to refer to an affective state. The authors propose and measure the concept of kama muta to understand experiences often given these and other labels. Do the same experiences evoke the same kama muta emotion across nations and languages? They conducted studies in 19 different countries, 5 continents, 15 languages, with a total of 3,542 participants. They tested the construct while validating a comprehensive scale to measure the appraisals, valence, bodily sensations, motivation, and lexical labels posited to characterize kama muta. The results are congruent with theory and previous findings showing that kama muta is a distinct positive social relational emotion that is evoked by experiencing or observing a sudden intensification of communal sharing. It is commonly accompanied by a warm feeling in the chest, moist eyes or tears, chills or piloerection, feeling choked up or having a lump in the throat, buoyancy, and exhilaration. It motivates affective devotion and moral commitment to communal sharing. Although the authors observed some variations across cultures, these 5 facets of kama muta are highly correlated in every sample, supporting the validity of the construct and the measure. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Social Anxiety, Affect, Cortisol Response and Performance on a Speech Task.

BACKGROUND: Social anxiety is characterized by increased emotional reactivity to social stimuli, but results of studies focusing on affective reactions of socially anxious subjects in the situation of social exposition are inconclusive, especially in the case of endocrinological measures of affect. SAMPLING AND METHODS: This study was designed to examine individual differences in endocrinological and affective reactions to social exposure as well as in performance on a speech task in a group of students (n = 44) comprising subjects with either high or low levels of social anxiety. Measures of salivary cortisol and positive and negative affect were taken before and after an impromptu speech. Self-ratings and observer ratings of performance were also obtained. RESULTS: Cortisol levels and negative affect increased in both groups after the speech task, and positive affect decreased; however, group × affect interactions were not significant. Assessments conducted after the speech task revealed that highly socially anxious participants had lower observer ratings of performance while cortisol increase and changes in self-reported affect were not related to performance. CONCLUSIONS: Socially anxious individuals do not differ from nonanxious individuals in affective reactions to social exposition, but reveal worse performance at a speech task.

[Attentional bias training in reducing symptoms of anxiety]. / Trening tendencyjnosci uwagi w redukcji objawów lekowych.

Anxiety is related to attentional bias, i.e. a tendency to pay attention to threatening stimuli. This occurs both in individuals suffering from anxiety disorders, and in healthy individuals with elevated levels of trait anxiety. This article is an analysis of a research paradigm, used to modify attentional bias (CBM-A Cognitive Bias Modification - Attention). A growing number of studies indicate that with the help of computer methods such as a modified version of the dot-probe task we can train individuals to direct attention away from threatening stimuli, which in turn reduces symptoms of anxiety. This effect was observed in adults, adolescents and children suffering from social phobia, generalised anxiety disorder and subclinical symptoms of obsessive-compulsive disorder. Effectiveness of this method constitutes the evidence for attentional bias being among the causes of anxiety disorders. The article also analyses the still not completely clear mechanisms of CBM-A and limitations of this method.

The efficacy of determinants of attention bias training in mental disorders.

This paper focuses on a method of attention bias training, considering in particular its efficacy and usability in several mental disorders. The results of current meta-analyses and selected experiments indicate possible efficacy of training in case of some anxiety disorders (generalised anxiety disorder and social phobia), particularly in young individuals. Its efficacy in other previously tested disorders such as depression and addictions seems questionable. We analysed moderators of training efficacy considered in previous studies: subjects' age, type of training task, type and location of emotional stimuli, duration of training, awareness of test objective and place of testing (research laboratory or subjects' homes). It seems that greater efficacy of attention bias can be achieved by conducting longer trainings, located in a laboratory, rather than in-house, and using verbal rather than visual stimuli. It is not clear whether participants should be informed of the training objective or whether arranging stimuli vertically is more efficient than horizontally.

Are attentional bias and memory bias for negative words causally related?

BACKGROUND AND OBJECTIVES: In cognitive theories of depression, processing biases are assumed to be partly responsible for the onset and maintenance of mood disorders. Despite a wealth of studies examining the relation between depression and individual biases (at the level of attention, interpretation, and memory), little is known about relationships between different biases. The purpose of the present study was to assess if attentional bias is causally related to memory bias. METHODS: 71 participants were randomly assigned to a control (n = 37) or attentional training group (n = 34). The attentional manipulation was followed by an explicit, intentional memory task during which novel neutral, negative, and positive words were presented. RESULTS: It was found that individuals with elevated depression score trained to orient away from negative words did not display a memory bias for negative words (adjectives) whereas similar individuals displayed this memory bias in the control condition. LIMITATION: Generalization of the findings is limited because of the short study time frame and specific nature of the memory task. CONCLUSIONS: These results indicate that altering attentional bias can influence elaborative processing of emotional material and that this bias could be one of the causes of mood congruent memory in depression.

[Cognitive vulnerability to depression]. / Poznawcza podatnosc na depresje.

This concise review of cognitive vulnerability to depression contains the discussion of several fundamental theoretical, methodological and empirical issues related to this important subject. The main aim was to describe in some detail the construct itself and to critically evaluate the hypotheses concerning the causal relation between specific processes, structures and cognitive contents and the probability of suffering from affective disorders. Some of the most important empirical findings obtained from research on cognitive vulnerability to depression was carefully analysed. The types of designs included in the analysis ranged from research done with remitted patients, longitudinal studies and behavioural risk design type studies. The most important methodological problems were enumerated and briefly described. On the basis of those analyses it was concluded that at least several cognitive vulnerability factors can indeed significantly increase the probability of depression. At the same time the empirical findings do not seem to support the assumed causal relation unequivocally, mainly because of the methodological shortcomings of the typical designs addressing the vulnerability issue. Appreciation of cognitive vulnerability factors can lead to improvements in affective disorders therapy and in the prophylactic interventions aimed at persons showing symptoms of cognitive schemata, structures or content known to increase the risk of depression.