A Categorical Equivalence for Tense Nelson Algebras

Studia Logica - In this paper we present a category equivalent to that of tense Nelson algebras. The objects in this new category are pairs consisting of an IKt-algebra and a Boolean IKt-congruence...     

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”.     

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.     

Naïve chicks do not prefer objects with stable body orientation,though they may prefer behavioural variability

Animal Cognition - Domestic chicks (Gallus gallus domesticus) have been widely used as a model to study the motion cues that allow visually naïve organisms to detect animate agents shortly...     

Righting behaviour in the European pond turtle (Emys orbicularis): relations between behavioural and morphological lateralization

Animal Cognition - Lateralization represents a key property of many behavioural traits, with the right and left sides of the brain providing different and integrative functions. Common ecological...     

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

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