Spinoza’s Christology A Brief Summary

Abstract

This article summarizes a number of Spinoza texts relating to his Christology and soteriology based on his Christology. The texts show that Spinoza’s Christology underpins his formulation of human nature or the constitution of the essence of the human mind. Considering Spinoza’s texts concerning God or Nature, “Christ according to the spirit”, the spirit or mind of Christ, and human salvation or blessedness; this article illustrates that given the texts, the study of Spinoza’s Christian religion is skewed and ought to be more balanced. The author’s reading of Spinoza and its application to his work presented in this article provides a coherent and tenable understanding of Spinoza’s efforts “to commend and establish the authentic purpose of the Christian Religion”.     

Put yourself in my wheelchair: Perspective-taking can reduce prejudice toward people with disabilities and other stigmatized groups

This study aimed to compare perspective-taking with a hypothetical target and perspective-taking occurring during a real interaction with an outgroup member in reducing prejudice toward people with disabilities and other groups (e.g., immigrants, homosexual people), via increased empathy. We adopted an experimental design with two treatment groups (Hypothetical target vs. Real target) and one control group (no intervention), one pretest and two posttest measures. Participants, who were 437 students aged 11–17 years (M = 14.28; SD = 1.17), were randomly assigned to the various conditions on a classroom basis. Perspective-taking was facilitated asking participants to travel in a wheelchair on a path that simulated a real pavement in the presence (or not) of an individual with a motor disability. Findings showed that perspective-taking in the presence of a real target was more effective in reducing prejudice toward people with disabilities than perspective-taking task without encountering an outgroup member. Perspective-taking with a hypothetical target was not sufficient to increase participants' empathy toward people with disabilities, which instead was enhanced when the task was performed at the presence of a real member of that group. Positive effects produced by perspective-taking (with both a hypothetical and a real target) were transferred to immigrants and homosexuals. These findings suggest that, when possible, perspective-taking in the presence of the target, which can improve empathy by favoring a two-way exchange process, is highly recommended to improve attitudes toward different stigmatized groups, not necessarily targeted by the intervention.     

Neuropsychological assessment could distinguish among different clinical phenotypes of progressive supranuclear palsy: A Machine Learning approach

Progressive supranuclear palsy (PSP) is a rare, rapidly progressive neurodegenerative disease. Richardson’s syndrome (PSP-RS) and predominant parkinsonism (PSP-P) are characterized by wide range of cognitive and behavioural disturbances, but these variants show similar cognitive pattern of alterations, leading difficult differential diagnosis. For this reason, we explored with an Artificial Intelligence approach, whether cognitive impairment could differentiate the phenotypes. Forty Parkinson's disease (PD) patients, 25 PSP-P, 40 PSP-RS, and 34 controls were enrolled following the consensus criteria diagnosis. Participants were evaluated with neuropsychological battery for cognitive domains. Random Forest models were used for exploring the discriminant power of the cognitive tests in distinguishing among the four groups. The classifiers for distinguishing diseases from controls reached high accuracies (86% for PD, 95% for PSP-P, 99% for PSP-RS). Regarding the differential diagnosis, PD was discriminated from PSP-P with 91% (important variables: HAMA, MMSE, JLO, RAVLT_I, BDI-II) and from PSP-RS with 92% (important variables: COWAT, JLO, FAB). PSP-P was distinguished from PSP-RS with 84% (important variables: JLO, WCFST, RAVLT_I, Digit span_F). This study revealed that PSP-P, PSP-RS and PD had peculiar cognitive deficits compared with healthy subjects, from which they were discriminated with optimal accuracies. Moreover, high accuracies were reached also in differential diagnosis. Most importantly, Machine Learning resulted to be useful to the clinical neuropsychologist in choosing the most appropriate neuropsychological tests for the cognitive evaluation of PSP patients.     

Correction to: Are non-accidental regularities a cosmic coincidence? Revisiting a central threat to Humean laws

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