Experimental Solution of Chitosan and Nanochitosan on Wettability in Root Dentine: In Vitro Model Prior Regenerative Endodontics

Context. The wettability of the chemically modified dentin substrate is a condition that intervenes in dentin-vascular and cellular interaction across regenerative endodontics. Aims. To compare the effect of CS and CSnp on the wettability in root dentine with other irrigation protocols with an experimental in vitro model prior regenerative endodontics. Methods and Material. An in vitro experimental study that included eighty hemisected human root distributed into 8 groups: G1- distilled water; G2- 1% NaOCl/17% EDTA; G3- hypochlorous acid 0.025% HOCl, G4- 1% NaOCl/0.025% HOCl/17% EDTA, G5- 0.2 g/100 mL CS, G6- 1% NaOCl/0.2 g/100 mL CS, G7- CSnp, and G8- 1% NaOCl/CSnp. The wettability analysis calculated the contact angle (θ) between a drop of a blood-like and root dentinal surface; topographic characterization with scanning electron microscopy (SEM) quantified the diameter and number of tubules per area; spectroscopy infrared analyses (IR-S) identified chemical changes in the inorganic (phosphate/carbonate) and organic phase (amide/methyl). Statistical analysis: a linear mixed model, Kruskal–Wallis, and Holm–Bonferroni correction ( P < 0.05) were used. Results. Significantly higher wettability for G2 (27.1 ( P = 0.0001)) was found. A mean value of 67°±°for experimental groups ( P = 0.07) was found, and we did not identify differences between them. The SEM identified greater tubular opening and erosion for G4 and greater dentinal permeability per area for NaOCl/CS. IR-S identified dentinal organic integrity with NaOCl-CS/CSnp compared to organic reduction promoted for NaOCl/EDTA. Conclusions. This in vitro dentin determined an indirect association between the wettability and organic contents. The oxidative effect of NaOCl could be neutralized by CS-CSnp, and consequently, the wettability of the substrate decreases.

The Significance of Self-directed Learning Readiness, Academic Self-efficacy, and Problem-solving Ability Among Filipino Nursing Students

A professional skill that permits nursing students to carry out nursing interventions in the workplace is the ability to solve health care problems. This is essential if they want to become professional nurses. Educators have been attempting to establish effective instructional techniques to improve nursing students’ problem-solving abilities. This study examined the relationship between problem-solving ability, academic self-efficacy, and self-directed learning readiness (SDLR) among nursing students. This study utilized a descriptive correlational study and recruited 170 nursing students in a private higher education institution in the Philippines. Standardized questionnaires were distributed, and data were analyzed using descriptive and inferential statistics. Results show that there is a significant indirect association between problem-solving ability and SDLR (r = -0.525, p < 0.001). Secondly, there is a significant direct association between SDLR and academic self-efficacy (r = 0.549, p < 0.001). Lastly, there is a significant indirect association between academic self-efficacy and problem-solving ability (r = -0.505, p < 0.001). The findings substantiate the assumptions of the study that academic self-efficacy, SDLR, and problem-solving ability of students have relationships with each other. Thus, students who are self-directed learners and are confident with their abilities of success in school tasks are able to solve complex problems or issues. Future research may be explored using longitudinal designs to be able to ascertain the causal link and directionality of the variables related to the present study.

Pharmacotherapy for SARS-CoV-2 and Seizures for drug repurposing presumed on Mechanistic Targets

Background: The currently circulating novel SARS-CoV-2 coronavirus disease (COVID-19) has brought the whole world to a standstill. Recent studies have deciphered the viral genome structure, epidemiology and are in the process of unveiling multiple mechanisms of pathogenesis. Apart from atypical pneumonia and lung disease manifestations, this disease has also been found to be associated with neurological symptoms, which include dizziness, headache, stroke, or seizures, among others. However, a possible direct or indirect association between SARS-CoV-2 and seizures is still not clear. In any manner, it may be of interest to analyze the drugs being used for viral infection in the background of epilepsy or vice versa. Objective: To identify the most credible drug candidate for COVID-19 in persons with epilepsy or COVID-19 patients experiencing seizures. Methods: A literature search for original and review articles was performed, and further, the Comparative Toxicogenomics Database was used to unearth the most credible drug candidate. Results: Our search based on common mechanistic targets affecting SARS-CoV-2 and seizures revealed ivermectin, dexamethasone, anakinra, and tocilizumab for protection against both COVID-19 and seizures. Amongst the antiseizure medications, we found valproic acid as the most probable pharmacotherapy for COVID-19 patients experiencing seizures. Conclusion: These findings would hopefully provide the basis for initiating further studies on the pathogenesis and drug targeting strategies for this emerging infection accompanied with seizures or in people with epilepsy.

Can Regional Gender Ideologies Account for Variation of Gender Pay Gaps? The Case of Germany

While research often invokes gender disparities in wage-determining characteristics to explain gender pay gaps, why these gender disparities and gender pay gaps vary across contexts has received less attention. Therefore, I analyze how subnational gender ideologies predict gender pay gaps in two ways: as directly affecting gender pay gaps and as indirectly predicting gender pay gaps through intermediate gender disparities in determinants of wage. The analyses are based on German survey data (SOEP 2014–2018) supplemented with regional-level statistics. First, I leverage regional differences in predictors of gender ideologies to estimate region-specific gender ideologies. Mapping these gender ideologies across Germany reveals substantial regional variation. Second, multi-level models provide region-specific gender disparities in wage determinants and gender pay gaps. Results reveal that traditional gender ideologies are associated with women gaining less labor market experience and working less often in full-time jobs or supervising positions. In addition to this indirect association, gender ideologies directly predict the extent of adjusted gender pay gaps. These associations contribute novel evidence on regional variation of gender ideologies and how they can underlie explanations often invoked for gender pay gaps.

Determinants of Proactive Work Behavior of Employees During the COVID-19 Crisis

As a result of the COVID-19 pandemic, organizations have been forced to use social media and digital applications to carry out routine tasks. This posed several complications and challenges that hindered harmonic interaction between managers and their subordinates. This study investigates the indirect association between toxic leadership and proactive work behavior via psychological safety (PYS). We also investigate the role of perceived insider status (PIS) as a moderator in the association between toxic leadership and PYS as well as the indirect connection between toxic leadership and proactive work behavior. The work is based on the timelag results of 282 supervisor-employee dyads from different small and mid-sized information technology (IT) firms. The results show that toxic leadership has a significant impact on employee PSY and proactive work behavior as well as revealing that PIS substantially mitigated the negative effects of toxic leadership on employee PYS. Similarly, PIS influences the mediating role of PYS in the association between toxic leadership and proactive work behavior of employees. This research is helpful for academics and practitioners involved in human-resource practices in the IT industry.

The Impact of Financial and Psychological Wellbeing on Children’s Physical Activity and Screen-Based Activities during the COVID-19 Pandemic

The COVID-19 pandemic, and the public health measures to combat it, have strained the finances of many families. While parents transitioned to working from home, children transitioned to learning virtually, limiting their organized social and physical activities. Families also reduced the frequency and size of gatherings, impacting psychological wellbeing. This study sought to understand the influence of financial wellbeing on children’s physical activity and leisure screen-based activities via mothers’ and children’s psychological wellbeing. In May and June of 2020, 254 Grade 7 Canadian children and their mothers completed separate online surveys assessing family financial wellbeing, mothers’ and children’s psychological wellbeing, and children’s physical activity and leisure screen-based activities. Structural equation modelling was used to examine the indirect effects of mothers’ and children’s psychological wellbeing on the relationship between financial wellbeing and children’s physical activity and leisure screen-based activities. Final models were adjusted for potential confounders. Study results indicate a significant indirect association between financial wellbeing and children’s physical activity and leisure screen-based activities via mothers’ and children’s psychological wellbeing. These findings demonstrate that higher levels of financial wellbeing are associated with better mental and physical health benefits in children during the COVID-19 pandemic.

Analysis Process MILAR: Mining Indirect Least Association Rule Algorithm

One of the interesting and meaningful information that is hiding in transactional database is indirect association rule. It corresponds to the property of high dependencies between two items that are rarely occurred together but indirectly emerged via another items. Since indirect association rule is nontrivial information, it can implicitly give a new perspective of relationship which cannot be directly observed from the common rule. Therefore, we proposed an algorithm for Mining Indirect Least Association Rule (MILAR) from the real and benchmarked datasets. MILAR is embedded with our scalable least measure namely Critical Relative Support (CRS). The experimental results show that MILAR can generate the desired rules in term of least and indirect least association rules. In addition, the obtained results can also be used by the domain experts to do further analysis and finally reveal more interesting findings

How language brokering relates to empathy and psychological well-being

Language brokering often brings children in close, intimate interactions with parents, which, over time, may help them understand their parents and others in the form of empathy. Specifically, frequency and feelings about language brokering may relate to greater empathy. In addition, language brokering may have an indirect effect on psychological well-being via empathy. For this study, 459 language brokers ( M age = 21.36, Female = 80%) completed an online questionnaire about frequency and feelings about language brokering, empathy, and psychological well-being. There were direct effects of language brokering burden, language brokering role reversal, and language brokering efficacy, but not frequency of language brokering, on empathy. We found an indirect association of language brokering burden and language brokering efficacy, to depressive symptoms through empathy. Findings indicate that empathy may play a role in how language brokering relates to psychological well-being.

Socially Distant? Social Network Confidants, Loneliness, and Health during the COVID-19 Pandemic

In the wake of the COVID-19 pandemic, many nations around the world instituted strict social distancing measures. Although necessary to deter the spread of the virus, these measures may also have had adverse health repercussions by increasing social isolation. Using a national longitudinal study from Canada, in which respondents were surveyed in March 2020 at the beginning of stay-at-home orders and again two months later in May, we show that, at baseline, loneliness was inversely associated with perceptions of self-rated health, and there was a beneficial indirect association between respondents’ number of social network confidants and perceived health through lower levels of loneliness. Between March and May, social network confidants decreased and loneliness increased; these changes were independent of each other and contributed to declines in self-rated health. Greater loneliness at baseline was also associated with declines in self-rated health. Our observations suggest that social distancing during the COVID-19 pandemic impaired social connectedness, thereby resulting in declines in perceptions of health. We conclude by discussing several policy-related implications of our findings.