The Application of Cortical Arousal Assessment to Control Neuromuscular Fatigue During Strength Training

The author's aim was to analyze the cortical arousal response during a conventional strength training session as a method to assess central nervous system fatigue. Sixteen trained men were recruited to perform the maximum number of training series composed of 6 exercises of 10 repetition each, at the intensity of 70% of the 1 maximum repetition, with a rest period of 2 min between exercises and 5 min between series, until exhaustion. Cortical arousal was measured using the critical flicker fusion threshold before, after warm-up, after each exercises series, after the recovery phase between series, and 15 min and 30 min after finishing the training session. Participants could not finish the fourth series of exercise, corresponding with a significant decrease of cortical arousal respect to the warm-up value. The assessment of cortical arousal using CFFT during a strength training session could be a fast and efficient method for assessing central nervous fatigue. Practically, coaches could modify the training protocol according to the individual cortical arousal response in order to improve training efficiency and prevent injuries.     

Beyond Realism and Moralism: A Defense of Political Minimalism

What is the relationship between morals and politics? What is the relationship between moral philosophy and political philosophy? Defenders of political moralism postulate moral aims or constraints for politics, and hence they see political philosophy as a chapter of moral philosophy. Contrastingly, advocates of political realism describe politics as an independent endeavor aiming at providing order and security, and conceive of political philosophy as an autonomous discipline. This article claims that political moralism and political realism share the mistake of assuming that politics has substantial, permanent goals or constraints. After criticizing political substantialism, the article explains the main ingredients of its alternative, political minimalism: (1) the idea that politics, understood as collective instrumental rationality, aims at providing adequate means for the accomplishment of people's goals, whatever these are; and (2) the conception of the relationship between morality and politics as one of “reciprocal containment.” Finally, it addresses some foreseeable criticisms of political minimalism.     

Pragmatics of the Development of Personal Identity in Adolescents in the Latin American Context

The present work proposes a pragmatic perspective of the development of personal identity. Such perspective is based on a unifying vision that incorporates the contribution of communicative pragmatics and becomes aware of the contribution of semiotics to psychology, without leaving aside the eriksonian point of view and other significant contributions in the field. The article defines identity in adolescence from a development approach, and adopts a systemic perspective concerning the insertion of adolescents in their context of formation as individuals. It then proposes a way to understand identity from a pragmatic-communicative perspective. Finally, it introduces two communicative use contexts from which personal identity can emerge, showing the importance of communication and language in the formation and development of identity.     

WHY PRACTICE PHILOSOPHY AS A WAY OF LIFE?

This essay explains why there are good reasons to practice philosophy as a way of life. The argument begins with the assumption that we should live well but that our understanding of how to live well can be mistaken. Philosophical reason and reflection can help correct these mistakes. Nonetheless, the evidence suggests that philosophical reasoning often fails to change our dispositions and behavior. Drawing on the work of Pierre Hadot, the essay claims that spiritual exercises and communal engagement mitigate the factors that prevent us from living in accordance with our conceptions of the good life. So, many of us have reasons to engage in philosophical reasoning along with behavioral, cognitive, and social strategies to alter our behavior and attitudes so that they’re in line with our philosophical commitments. In these respects, many of us should practice philosophy as a way of life.     

Instance‐based learning in dynamic decision making

This paper presents a learning theory pertinent to dynamic decision making (DDM) called instancebased learning theory (IBLT). IBLT proposes five learning mechanisms in the context of a decision‐making process: instance‐based knowledge, recognition‐based retrieval, adaptive strategies, necessity‐based choice, and feedback updates. IBLT suggests in DDM people learn with the accumulation and refinement of instances, containing the decision‐making situation, action, and utility of decisions. As decision makers interact with a dynamic task, they recognize a situation according to its similarity to past instances, adapt their judgment strategies from heuristic‐based to instance‐based, and refine the accumulated knowledge according to feedback on the result of their actions. The IBLT's learning mechanisms have been implemented in an ACT‐R cognitive model. Through a series of experiments, this paper shows how the IBLT's learning mechanisms closely approximate the relative trend magnitude and performance of human data. Although the cognitive model is bounded within the context of a dynamic task, the IBLT is a general theory of decision making applicable to other dynamic environments.     

Prevalence of depression during the COVID-19 outbreak: A meta-analysis of community-based studies

Introduction: COVID-19 pandemic, declared on March 11, 2020, constitute an extraordinary health, social and economic global challenge. The impact on people's mental health is expected to be high. This paper sought to systematically review community-based studies on depression conducted during the COVID-19 and estimate the pooled prevalence of depression. Method: We searched for cross-sectional, community-based studies listed on PubMed or Web of Science from January 1, 2020 to May 8, 2020 that reported prevalence of depression. A random effect model was used to estimate the pooled proportion of depression. Results: A total of 12 studies were included in the meta-analysis, with prevalence rates of depression ranging from 7.45% to 48.30%. The pooled prevalence of depression was 25% (95% CI: 18% ? 33%), with significant heterogeneity between studies (I² = 99.60%, p < .001). Conclusions: Compared with a global estimated prevalence of depression of 3.44% in 2017, our pooled prevalence of 25% appears to be 7 times higher, thus suggesting an important impact of the COVID-19 outbreak on people's mental health. Addressing mental health during and after this global health crisis should be placed into the international and national public health agenda to improve citizens’ wellbeing.     

Wisdom of the social versus non-social crowd in face identification

Face identification is more accurate when people collaborate in social dyads than when they work alone (Dowsett & Burton, 2015, Br. J. Psychol., 106, 433). Identification accuracy is also increased when the responses of two people are averaged for each item to create a ‘non-social’ dyad (White, Burton, Kemp, & Jenkins, 2013, Appl. Cogn. Psychol., 27, 769; White et al., 2015, Proc. R. Soc. B Biol. Sci., 282, 20151292). Does social collaboration add to the benefits of response averaging for face identification? We compared individuals, social dyads, and non-social dyads on an unfamiliar face identity-matching test. We also simulated non-social collaborations for larger groups of people. Individuals and social dyads judged whether face image pairs depicted the same- or different identities, responding on a 5-point certainty scale. Non-social dyads were constructed by averaging the responses of paired individuals. Both social and non-social dyads were more accurate than individuals. There was no advantage for social over non-social dyads. For larger non-social groups, performance peaked at near perfection with a crowd size of eight participants. We tested three computational models of social collaboration and found that social dyad performance was predicted by the decision of the more accurate partner. We conclude that social interaction does not bolster accuracy for unfamiliar face identity matching in dyads beyond what can be achieved by averaging judgements.