689 research outputs found
How to prevent crimes using earthquakes
No full textIn this chapter the author describes how techniques coming from earthquakes prediction has been used to produce successful mathematical models useful in preventing crimes
Procedimento per monitorare l’efficacia di L-DOPA nel controllo dei sintomi motori della malattia di Parkinson
No full textImpact of COVID-19 on Alzheimer’s Disease Risk: Viewpoint for Research Action
No full textIn the middle of the coronavirus disease 19 (COVID-19) outbreak, the main efforts of the scientific community are rightly all focused on identifying efficient pharmacological treatments to cure the acute severe symptoms and developing a reliable vaccine. On the other hand, we cannot exclude that, in Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) positive subjects, the virus infection could have long-term consequences, leading to chronic medical conditions such as dementia and neurodegenerative disease. Considering the age of SARS-CoV-2 infected subjects, the neuroinvasive potential might lead/contribute to the development of neurodegenerative diseases. Here, we analyzed a possible link between SARS-CoV-2 infection and Alzheimer’s disease risk, hypothesizing possible mechanisms at the base of disease development. This reflection raises the need to start to experimentally investigating today the mechanistic link between Alzheimer’s disease (AD) and COVID-19 to be ready tomorrow
Connecting with own emotions to connect with the environment: an intervention for promoting pro-environmental behaviors in organizational settings
No full textAbstract
Introduction: Numerous studies have highlighted the difficulties found in interventions aimed at promoting
greater pro-environmental behaviors in the long term. While cross-sectional literature has emphasized
the essential role of certain emotional factors in promoting pro-environmental behaviors (such as
empathy, connection to nature, emotional regulation), interventions in the literature focus on contextual
factors, informational or feedback interventions. The present study aimed to test the effectiveness of
interventions designed instead to increase emotional connection to the natural environment in order to
promote greater pro-environment behaviors. Methods: N = 90 firm managers were involved in 6 different
intervention groups. The interventions were carried out on the managers of the firms, but change was
measured not only on the managers but also on the team members working in direct contact with them
(N = 500 firm employees), hypothesizing that a change at the emotional/relational level would produce
a stable change in behavior that can trigger cascading changes even in team members in close contact
with the leader. Pro-environmental behaviors, pro-environmental attitudes, connection to nature,
empathy, emotional regulation, and self-compassion were measured before and after the interventions.
Results: Results showed the greater effectiveness of change in interventions aimed at greater emotional
connection with nature, compared with informational interventions and the control group. The change
was found not only on firm managers, but also on their team members. Discussion: The results highlight
the cost-effectiveness of an intervention that enables behavioral change in a large sample (team
members), direct involving a small sample of firm managers
Pharmacological profile of γ-oryzanol: Its antioxidant mechanisms and its effects in age-related diseases
No full textPSYCHOPATHOLOGY AND ENVIRONMENT: THE CONSEQUENCES OF CLIMATE CHANGE ON PSYCHOLOGICAL WELL-BEING
No full textIn recent years, climate change is accelerating, leading not only to strong repercussions on the environment
and socio-economic implications, but also to the onset of a series of clinical syndromes denitions and
agreed upon operationalization of the eco-psychopathology diagnosis are missing and no data on the incidence in the population are available. Hence, the current study presents a systematic review comprehensively exploring existing international literature. Specically to the psychological consequences associated with climate change. "e last refers more generally on the e#ects of the environment on psychological well-being. "erefore, a connection has emerged between mental health and the environment, which will be further explored by investigating underlying causes of eco-psychopathologies
THE COMPLEX INTERPLAY BETWEEN EMOTIONAL, RELATIONAL, COGNITIVE AND MORAL FACTORS IN PRO ENVIRONMENTAL BEHAVIORS
No full textNumerous studies have shown the current environmental crisis can be mitigated by a sustainable use of
resources. International literature shows that studies have focused on 3 clusters of factors that can predict
pro-environmental behaviors (PEB): 1) habitual behaviors, 2) motivational factors (cost/benets and/or psychosocial variables, further studies have highlighted the important role of emotional factors.
Despite this, most studies have investigated these factors separately. "e present study aimed to assess the
complex interplay between emotional, relational, cognitive and moral factors and PEB. N=500 individuals
lled out self-report questionnaires assessing their relationship with the environment (e.g, PEB, nature relatedness, place a!achment), emotional factors (e.g, empathy, emotional regulation, compassion), cognitive
factors (e.g., self-control, empathic and social self-eÊcy, cognitive &exibility), and moral a!entiveness.
Results evidenced empathy and emotional regulation to be major predictors of PEB. "ese ndings o#er
important considerations for the development of intervention programs that could foster pro-environment
behaviors
Perovskite solar cells go lead free
No full textMain Text (Joule 1, 659–664; December 20, 2017) In the originally published version of this article, the author wrote that CdTe solar cells benefit from an exception of the “Directive on the restriction of the use of certain hazardous substances in electrical and electronic equipment” (RoHS). In reality, any solar cell technologies benefit from an exemption of the RoHS. Thus, a potential perovskite solar cells technology is currently allowed in the European energy market. The text has been amended accordingly online and in print. The author apologizes for any confusion this error may have caused
A novel technique to characterize conformational state of the proteins: p53 analysis
No full textAs the technology is advancing, biotechnologist and pharmacologist seems more interested and focused towards the development of innovative sensing solution/technology capable of evaluating proteins without any limitations of time and cost which were encountered/offered by conventional/traditional methods such as ELISA used for protein quantification. To allow continuous monitoring and attain protein sample information in a non-invasive way, spectrophotometry might be considered as an alternate method which analyzes different conformational states of proteins by closely observing the variation in optical properties of the sample. The work presented studies p53 protein conformational dynamics and their involvement in various pathophysiological and neurodegenerative disease/disorders using the spectrophotometer-based method. By utilizing the technique of spectrophotometry, investigations were carried out on three samples containing varied molecular state of p53 (Wild p53, Denatured p53, and Oxidized p53), to detect the difference in light absorption. Overall, this proposes the possibility of a simple, non-invasive and optical based method capable of detecting and identifying different structural states of p53 while overcoming the complexities offered by the conventional procedures
An overview of data integration in neuroscience with focus on Alzheimer's Disease
No full textThis article represents the first attempt to provide an overview of how to face data integration as the result of a dialogue between neuroscientists and computer scientists. Indeed, data integration is fundamental for studying complex multifactorial diseases, such as the neurodegenerative diseases. This work aims at warning the readers of common pitfalls and critical issues in both medical and data science fields. In this context, we define a road map for data scientists when they first approach the issue of data integration in the biomedical domain, highlighting the challenges that inevitably emerge when dealing with heterogeneous, large-scale and noisy data and proposing possible solutions. Here, we discuss data collection and statistical analysis usually seen as parallel and independent processes, as cross-disciplinary activities. Finally, we provide an exemplary application of data integration to address Alzheimer's Disease (AD), which is the most common multifactorial form of dementia worldwide. We critically discuss the largest and most widely used datasets in AD, and demonstrate how the emergence of machine learning and deep learning methods has had a significant impact on disease's knowledge particularly in the perspective of an early AD diagnosis
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