Are Rational Numbers Spontaneous? Natural Numbers Suffice all Processing by the Number Sense

The presence of preverbal numerical abilities in animals and infants is widely established, but an important discussion remains about which cognitive systems support these abilities. In particular, a great amount of research is dedicated to the approximate number system (ANS) for the elaboration of non-symbolic numbers and their possible types of mental numeric representations. In a recently published article, Clarke and Beck (2021) provide a series of evidence that supports its existence (ANS) and argue that the mental referents of this system are both natural and rational numbers. In the current commentary, we introduce the notion of the "whole-entity bias" that permeates perception and cognition and favors an automatic processing of discrete mental magnitudes while hindering the representations of fractional numbers. Further, we argue that a hierarchical structure of the ANS that represents natural numbers and supports the understanding of proportions through a series of computations is a more ecological theorization. To conclude, we believe that such a view is still compatible with the proposal of a single representational system (the ANS) supporting both number kinds but offers a different perspective on the computational level of explanation

The pollutome-connectome axis: A putative mechanism to explain pollution effects on neurodegeneration

: The study of pollutant effects is extremely important to address the epochal challenges we are facing, where world populations are increasingly moving from rural to urban centers, revolutionizing our world into an urban world. These transformations will exacerbate pollution, thus highlighting the necessity to unravel its effect on human health. Epidemiological studies have reported that pollution increases the risk of neurological diseases, with growing evidence on the risk of neurodegenerative disorders. Air pollution and water pollutants are the main chemicals driving this risk. These chemicals can promote inflammation, acting in synergy with genotype vulnerability. However, the biological underpinnings of this association are unknown. In this review, we focus on the link between pollution and brain network connectivity at the macro-scale level. We provide an updated overview of epidemiological findings and studies investigating brain network changes associated with pollution exposure, and discuss the mechanistic insights of pollution-induced brain changes through neural networks. We explain, in detail, the pollutome-connectome axis that might provide the functional substrate for pollution-induced processes leading to cognitive impairment and neurodegeneration. We describe this model within the framework of two pollutants, air pollution, a widely recognized threat, and polyfluoroalkyl substances, a large class of synthetic chemicals which are currently emerging as new neurotoxic source

Depression Levels Influence the Rate of Asthma Exacerbations in Females

Background: Anxiety and depression are common psychological disturbances among asthmatic patients. The aim of the present study is the assessment of anxiety and depression in asthmatic patients and their correlation with symptoms control level and number of exacerbations per year. Methods: One hundred patients with asthma diagnosis, according to the Global Initiative for Asthma (GINA), aged > 18 years old, having a stable disease, were included. Emotional status was evaluated using the Hospital Anxiety Depression Scale (HADS). Patients were followed up for a year to assess the number and severity of exacerbations. Results: Most of our patients were female (58%), middle-aged (mean = 54 ± 13), and married (81%), with low frequency of smoking habits (smokers, ex-smokers and non-smokers were 26%, 30% and 37%, respectively) and low levels of both anxiety and depression [median (interquartile range (IQR)) = 4(2) and median (IQR) = 4(2), respectively]. At the low and moderate level of the depression subscale, female patients experienced asthma exacerbations more frequently compared to male patients (adjusted Incidence Rate Ratio (aIRR) = 4.30; 95% Confidence Interval (CI): 1.94–9.53 and aIRR = 1.82; 95% CI: 1.07–3.13, respectively). Conclusions. Clinicians should evaluate asthma patients for depression, as gender differentially influences outcomes among those with low and moderate levels of depression, with female asthmatics presenting more frequent exacerbations

Device use errors among patients with asthma and COPD and the role of training: a real-life study

Background and objectives: Administration of inhaled medication for asthma and COPD is often difficult and incorrect device use is associated with unfavorable outcomes. We aimed to evaluate device use errors in asthma and COPD patients and to associate incorrect use with the patient’s characteristics and medical history. Methods: Demographics and medical history were recorded. The use of each prescribed device was evaluated according to predefined steps. Results: 607 patients (49.9% male, median age (IQR) 63 (51, 70) years performed 663 demonstrations (56 patients were using 2 different types of devices). 51.4% were treated for asthma and 48.6% for COPD. 79.6% of demonstrations were performed using DPIs. Errors were documented on 41.2% of demonstrations and were associated with the type of device, p < 0.001. Elderly patients were less frequently using their devices correctly compared to younger patients, 50.8% vs 62.2%, respectively, p = 0.007. Correct demonstrations were more among asthmatics compared to COPD patients 63.1% vs 54.5%, p = 0.024. Incorrect use was associated with more acute exacerbations in the preceding year [median(IQR), 1(0, 2) vs 1(0, 1)], for incorrect and correct use, respectively, p < 0.001. Upon demonstration, 15.5% of patients have never been trained (i.e., undergone actual demonstrations and observation while using their device) by anyone. Errors occurred more frequently among patients who reported not to be trained compared to those who were trained, 67.0% vs 14.6%, respectively, p Conclusion: Device use errors are common and associated with unfavorable outcomes. Trained patients were more likely to use the device correctly