Notes

Experience with perampanel monotherapy over and above first titration to accomplish seizure flexibility inside sufferers with focal-onset seizures together with freshly identified or perhaps currently with no treatment repeated epilepsy: an article hoc analysis of the open-label Research 342 (FREEDOM).
066, 95% CI 1.058-1.075) and precipitation (IRRNO2 = 0.989, 95% CI 0.981-0.997) were positively associated with COVID-19 mortality, whereas temperature (IRRPM2.5 = 0.988, 95% CI 0.976-1.000; and IRRNO2 = 0.771, 95% CI 0.761-0.782, respectively) and wind speed (IRRNO2 = 1.095, 95% CI 1.061-1.131) were negatively associated with COVID-19 mortality. Air pollution can be a key factor to understand the mortality rate for COVID-19 in Spain. Furthermore, climatic variables could be influencing COVID-19 progression. Thus, air pollution and climatology ought to be taken into consideration in order to control the pandemic.
The online version contains supplementary material available at 10.1007/s11869-021-01062-2.
The online version contains supplementary material available at 10.1007/s11869-021-01062-2.In this paper, we make long-term predictions based on numbers of current confirmed cases, accumulative dead cases of COVID-19 in different regions in China by modeling approach. Firstly, we use the SIRD epidemic model (S-Susceptible, I-Infected, R-Recovered, D-Dead) which is a non-autonomous dynamic system with incubation time delay to study the evolution of the COVID-19 in Wuhan City, Hubei Province and China Mainland. According to the data in the early stage issued by the National Health Commission of China, we can accurately estimate the parameters of the model, and then accurately predict the evolution of the COVID-19 there. From the analysis of the issued data, we find that the cure rates in Wuhan City, Hubei Province and China Mainland are the approximately linear increasing functions of time t and their death rates are the piecewisely decreasing functions. These can be estimated by finite difference method. Secondly, we use the delayed SIRD epidemic model to study the evolution of the COVID-19 in the Hubei Province outside Wuhan City. G6PDi-1 We find that its cure rate is an approximately linear increasing function and its death rate is nearly a constant. Thirdly, we use the delayed SIR epidemic model (S-Susceptible, I-Infected, R-Removed) to predict those of Beijing, Shanghai, Zhejiang and Anhui Provinces. We find that their cure rates are the approximately linear increasing functions and their death rates are the small constants. The results indicate that it is possible to make accurate long-term predictions for numbers of current confirmed, accumulative dead cases of COVID-19 by modeling. In this paper the results indicate we can accurately obtain and predict the turning points, the end time and the maximum numbers of the current infected and dead cases of the COVID-19 in China. In spite of our simple method and small data, it is rather effective in the long-term prediction of the COVID-19.Despite being on average a relatively happy country, Colombia has a high level of inequality in subjective well-being (SWB). Using Gallup World Poll data for the period from 2010 to 2018, this paper tests the direction and strength of association of a range of objective and subjective factors with SWB and explains differences in SWB across individuals and space. The perceived welfare of the average Colombian is mainly influenced by conditions and expectations related to economic opportunities and education. However, quantile regressions, reveal substantial differences in the domains that matter to those at the bottom and top of the experienced welfare distribution. Standard-of-living improvements, housing affordability, and civic engagement matter more to the most fortunate top 20%, while having education, a job, sufficient income, economic security, and digital connectivity are much more strongly associated with the well-being of the bottom 20%. The life domains that matter more to the unhappiest respondents also explain the majority of the spatial differences in perceived welfare between residents in urban and rural areas as well as core and peripheral regions. Policy actions aimed at closing the gaps in these areas have the potential to increase well-being and reduce inequality in Colombia.The focus of this response to Arthur Galamba and Brian Matthews's 'Science education against the rise of fascist and authoritarian movements towards the development of a Pedagogy for Democracy' is to underpin a critical pedagogy that can be used as a counterbalancing force against repressive ideologies within science classrooms. Locating science education within the traditions of critical pedagogy allows us to interrogate some of the historical, theoretical, and practical contradictions that have challenged the field, and to consider science learning as part of a wider struggle for social justice in education. My analysis draws specifically on the intellectual ideas of Paulo Freire, whose work continues to influence issues of theoretical, political, and pedagogical importance. A leading social thinker in educational practice, Freire rejected the dominant hegemonic view that classroom discourse is a neutral and value-free process removed from the juncture of cultural, historical, social, and political contexts. Freire's ideas offer several themes of relevance to this discussion, including his banking conception of education, dialog and conscientization, and teaching as a political activity. I attempt to show how these themes can be used to advance a more socially critical and democratic approach to science teaching.With the propagation of the Coronavirus pandemic, current trends on determining its individual and societal impacts become increasingly important. Recent researches grant special attention to the Coronavirus social networks infodemic to study such impacts. For this aim, we think that applying a geolocation process is crucial before proceeding to the infodemic management. In fact, the spread of reported events and actualities on social networks makes the identification of infected areas or locations of the information owners more challenging especially at a state level. In this paper, we focus on linguistic features to encode regional variations from short and noisy texts such as tweets to track this disease. We pay particular attention to contextual information for a better encoding of these features. We refer to some neural network-based models to capture relationships between words according to their contexts. Being examples of these models, we evaluate some word embedding ones to determine the most effective features' combination that has more spatial evidence. Then, we ensure a sequential modeling of words for a better understanding of contextual information using recurrent neural networks. Without defining restricted sets of local words in relation to the Coronavirus disease, our framework called DeepGeoloc demonstrates its ability to geolocate both tweets and twitterers. It also makes it possible to capture geosemantics of nonlocal words and to delimit the sparse use of local ones particularly in retweets and reported events. Compared to some baselines, DeepGeoloc achieved competitive results. It also proves its scalability to handle large amounts of data and to geolocate new tweets even those describing new topics in relation to this disease.
The lockdown due to COVID-19 affected the sexual health of the people with intellectual disabilities by differentially modifying the frequency and characteristics of people's sexual activity depending on whether or not they lived with a partner during this period. The aim of this study was to analyze the extent to which the sexual behavior of people with intellectual disabilities (with and without a partner) was affected during the lockdown.

The sample consisted of 73 people with intellectual disabilities between 21 and 63years old (M = 39.63; SD = 10.11). The variables analyzed were the physical, social, and technological environment during the lockdown, sexual appetite, sexual behavior, online sexual activity, and sexual abuse. The data were collected between the months of May and June of 2020.

The lockdown increased the sexual appetite of a third of the sample (38%), especially the youngest participants. Sexual activity focused on autoeroticism and online behavior, particularly sending nude images of oneself (88%) and viewing pornography (83.6%). Rates of sexual abuse during this period were relatively high (6.8%).

The sexual activity of people with ID was important during the lockdown, and they had to adapt to the circumstances of isolation in a similar way to the general population. Technological improvements in terms of devices and connection quality at home allowed their sexual behavior to be reoriented, opening the door to new risks for the sexual health of people with ID.

Cybersex and the increase in sexual abuse due to confinement are aspects that should be included in programs to improve the sexual health of this group.
Cybersex and the increase in sexual abuse due to confinement are aspects that should be included in programs to improve the sexual health of this group.
Adolescents and young adults with chronic medical conditions report higher distress and lower wellbeing than their physically healthy peers. Previous research suggests that self-compassion is negatively correlated with distress and positively correlated with wellbeing among healthy young people, as well as adults with chronic medical conditions. The current study aimed to extend these findings to a sample of adolescents and young adults with chronic medical conditions. This study also aimed to replicate findings observed in other populations by testing emotion regulation difficulties as a mediator of this relationship.

Adolescents and young adults aged 16 to 25 with chronic physical medical conditions (
 = 107) completed an online survey including measures of self-compassion, emotion-regulation, wellbeing, and distress. Two mediation models were tested using the PROCESS macro in SPSS, with distress and wellbeing as outcomes.

Self-compassion had a significant direct negative association with distress and a significant direct positive association with wellbeing. While self-compassion and emotion regulation difficulties explained a large amount of variance in both wellbeing,

 = .31,
 < .001, and distress,

 = .46,
 < .001, no support was found for the mediating role of emotion regulation difficulties between self-compassion and wellbeing. However, emotion regulation difficulties mediated the relationship between self-compassion and distress.

These findings suggest that an emotion regulation model of self-compassion may be applicable to young people with chronic medical conditions. Future research within this population may evaluate programs that develop self-compassion and emotion regulation skills.
These findings suggest that an emotion regulation model of self-compassion may be applicable to young people with chronic medical conditions. Future research within this population may evaluate programs that develop self-compassion and emotion regulation skills.Many biologically active natural products are synthesized by nonribosomal peptide synthetases (NRPSs), polyketide synthases (PKSs) and their hybrids. These megasynthetases contain modules possessing distinct catalytic domains that allow for substrate initiation, chain extension, processing and termination. At the end of a module, a terminal domain, usually a thioesterase (TE), is responsible for catalyzing the release of the NRPS or PKS as a linear or cyclized product. In this review, we address the general cyclization mechanism of the TE domain, including oligomerization and the fungal C-C bond forming Claisen-like cyclases (CLCs). Additionally, we include examples of cyclization catalysts acting within or at the end of a module. Furthermore, condensation-like (CT) domains, terminal reductase (R) domains, reductase-like domains that catalyze Dieckmann condensation (RD), thioesterase-like Dieckmann cyclases, trans-acting TEs from the penicillin binding protein (PBP) enzyme family, product template (PT) domains and others will also be reviewed.
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