Useless carbon nanospheres marked together with Gd-Fe nanoparticles regarding permanent magnetic resonance and also photoacoustic photo.
  By contrast, no difference emerged in the perception of attachment to parents. Moreover, alexithymia, but not ASD status, was found to predictive of child perception of attachment to parents. We observed no significant effect of child age and verbal IQ. Our findings showed that alexithymia was more common in children with ASD, whereas attachment was similar between groups. Difficulties in identifying and describing one's own feelings may hinder the construction of a positive representation of parent-child attachment relationship regardless of child clinical status. Thus, alexithymia seems to play a key role on the way school-age children with and without ASD perceive their relationship with their parents. Copyright © 2020 Giannotti, de Falco and Venuti.This study investigates the impact of transformational leadership on employee retention in small- and medium-sized enterprises (SMEs) and probes the mediating role of organizational citizenship behavior (OCB) and the moderating role of communication. Data were collected using convenience sampling from 505 employees of SMEs. A Smart PLS structural equation modeling (PLS-SEM) was used to estimate the various relationships. The findings of the study reveal a positive and significant relationship between transformational leadership and OCB. Similarly, this study finds a positive and significant relationship in OCB and employee retention. In addition, OCB had a positive mediating effect on the relationship between transformational leadership and employee retention. Furthermore, communication positively moderates the transformational leadership- OCB and OCB-employee retention relationships. Leaders at SMEs should implement the traits of transformational leadership such as developing a compelling vision for employees, focusing on goal achievement, having problem-solving techniques, having a sense of purpose, and spending time on the training and development of the team to enhance OCB and employee retention. Copyright © 2020 Tian, Iqbal, Akhtar, Qalati, Anwar and Khan.Inner speech (IS), or the act of silently talking to yourself, occurs in humans regardless of their cultural and linguistic background, suggesting its key role in human cognition. The absence of overt articulation leads to methodological challenges to studying IS and its effects on cognitive processing. Investigating IS in children is particularly problematic due to cognitive demands of the behavioral tasks and age restrictions for collecting neurophysiological data [e.g., functional magnetic resonance imaging (fMRI) or electromyography (EMG)]; thus, the developmental aspects of IS remain poorly understood despite the long history of adult research. Studying developmental aspects of IS could shed light on the variability in types and amount of IS in adults. In addition, problems in mastering IS might account for neuropsychological deficits observed in children with neurodevelopmental conditions. For example, deviance in IS development might influence these children's general cognitive processing, including social cognition, executive functioning, and related social-emotional functioning. The aim of the present paper is to look at IS from a developmental perspective, exploring its theory and identifying experimental paradigms appropriate for preschool and early school-aged children in Anglophone and Russian literature. We choose these two languages because the original work carried out by Vygotsky on IS was published in Russian, and Russian scientists have continued to publish on this topic since his death. Since the 1960s, much of the experimental work in this area has been published in Anglophone journals. We discuss different measurements of IS phenomena, their informativeness about subtypes of IS, and their potential for studying atypical language development. Implications for assessing and stimulating IS in clinical populations are discussed. Copyright © 2020 Vissers, Tomas and Law.Advances in the use of neuroimaging in combination with A.I., and specifically the use of machine learning techniques, have led to the development of brain-reading technologies which, in the nearby future, could have many applications, such as lie detection, neuromarketing or brain-computer interfaces. Some of these could, in principle, also be used in forensic psychiatry. The application of these methods in forensic psychiatry could, for instance, be helpful to increase the accuracy of risk assessment and to identify possible interventions. This technique could be referred to as 'A.I. neuroprediction,' and involves identifying potential neurocognitive markers for the prediction of recidivism. However, the future implications of this technique and the role of neuroscience and A.I. in violence risk assessment remain to be established. In this paper, we review and analyze the literature concerning the use of brain-reading A.I. for neuroprediction of violence and rearrest to identify possibilities and challenges in the future use of these techniques in the fields of forensic psychiatry and criminal justice, considering legal implications and ethical issues. The analysis suggests that additional research is required on A.I.  https://www.selleckchem.com/products/17-AAG(Geldanamycin).html  neuroprediction techniques, and there is still a great need to understand how they can be implemented in risk assessment in the field of forensic psychiatry.  https://www.selleckchem.com/products/17-AAG(Geldanamycin).html  Besides the alluring potential of A.I. neuroprediction, we argue that its use in criminal justice and forensic psychiatry should be subjected to thorough harms/benefits analyses not only when these technologies will be fully available, but also while they are being researched and developed. Copyright © 2020 Tortora, Meynen, Bijlsma, Tronci and Ferracuti.A metaphor is a design tool that can support designers in forming and exploring new design concepts during the process of designing. Digital technologies embedded in built environments provide an opportunity for environments to be more intelligent and interactive. However, most architectural concepts associated with smart environments such as smart homes and intelligent buildings tend to focus on how advances in technology can improve the quality of the residential environment using automation and not on how people interact with the environment. We posit that conceptual metaphors of device, robot, and friend can open up new design spaces for the interaction design of smart environments. We present three metaphorical concepts that can frame new ways of designing a smart environment that focuses on interaction rather than building automation, each of which have distinct HCI techniques. Copyright © 2020 Kim and Maher.