Role demands and turnover intention among Covid-19 frontline nurses: The mediating and moderating roles of compassion fatigue and spiritual leadership.

The working conditions created by the Covid-19 pandemic have been proven to amplify frontline nurses' desire to leave their profession in recent years; thus, exploring new causing variables is vital. This cross-sectional study examined role demands' direct and indirect effects on turnover intention through compassion fatigue and tested the various dimensions of spiritual leadership as moderators on the relationship between compassion fatigue and turnover intention. A total of 527 valid responses were collected from frontline nurses working in designated hospitals across Zhejiang province in China using a survey questionnaire. The outcomes from the hierarchical regression analysis indicated that role demands positively and significantly impacted turnover intention and compassion fatigue. Besides, compassion fatigue significantly and positively affected turnover intention and mediated its relationship with role demands. However, vision and altruistic love moderated the relationship between compassion fatigue and turnover intention, which was not true for the dimension hope/faith. This study's findings are a steppingstone for medical firms' managers and policymakers in demonstrating the likelihood of frontline nurses developing turnover thoughts arising from ambiguous and conflicting roles and the emotional strain from patients' burdens. Furthermore, an exemplary implementation of spiritual leadership could help enhance nurses' sense of calling and membership, essential in embracing the organization's vision and achieving its goals.

COVID-19: The effects of perceived organizational justice, job engagement, and perceived job alternatives on turnover intention among frontline nurses.

Nurses' turnover intention has become a concern for medical institutions because nurses are more needed than ever under the prevalence of COVID-19. This research sought to investigate the effects of the four dimensions of organizational justice on COVID-19 frontline nurses' turnover intention through the mediating role of job engagement. We also tested the extent to which perceived job alternatives could moderate the relationship between job engagement and turnover intention. This descriptive cross-sectional study used an online survey to collect data from 650 frontline nurses working in appointed hospitals in Jiangsu province, China. Hierarchical regression was used to analyze the hypothesized relationships. Findings revealed that all organizational justice components significantly influenced job engagement and turnover intention. Job engagement also significantly affected nurses' turnover intention and mediated the relationships between organizational justice components and turnover intention. Besides, perceived job alternatives moderated the relationships between job engagement and turnover intention. The implications of this study include demonstrating that healthcare authorities should respect human rights through effective organizational justice as this approach could encourage nurses to appreciate their job and be more devoted to staying and achieving their institutional duties, especially under challenging circumstances.

Characterizing and Predicting Autism Spectrum Disorder by Performing Resting-State Functional Network Community Pattern Analysis.

Growing evidence indicates that autism spectrum disorder (ASD) is a neuropsychological disconnection syndrome that can be analyzed using various complex network metrics used as pathology biomarkers. Recently, community detection and analysis rooted in the complex network and graph theories have been introduced to investigate the changes in resting-state functional network community structure under neurological pathologies. However, the potential of hidden patterns in the modular organization of networks derived from resting-state functional magnetic resonance imaging to predict brain pathology has never been investigated. In this study, we present a novel analysis technique to identify alterations in community patterns in functional networks under ASD. In addition, we design machine learning classifiers to predict the clinical class of patients with ASD and controls by using only community pattern quality metrics as features. Analyses conducted on six publicly available datasets from 235 subjects, including patients with ASD and age-matched controls revealed that the modular structure is significantly disturbed in patients with ASD. Machine learning algorithms showed that the predictive power of our five metrics is relatively high (~85.16% peak accuracy for in-site data and ~75.00% peak accuracy for multisite data). These results lend further credence to the dysconnectivity theory of this pathology.

Crystal structure and photochemical behavior in solution of the 3'-N-sulfamate analogue of thymidylyl(3'-5')thymidine.

The 3'-N-sulfamate analogue of thymidylyl(3'-5')thymidine (TnsoT, 1) exhibits a preference for a C3'-endo conformation in the solution and solid states. Its photochemical behavior in solution is compared to that of its natural counterpart, thymidylyl(3'-5')thymidine (TpT, 2), to get further insight into the significance of the C3'-endo conformation on the photoproduct formation at the single-stranded dinucleotide level. Irradiation at 254 nm of 1 led to the same type of photoproducts as observed with 2. However, 1 was significantly more photoreactive than 2, and accordingly, the initial rate of photoproduct formation was enhanced in accordance with its propensity to base stack compared to 2. The corresponding quantum yields were determined and showed that the enhancement factor (1 compared to 2) is moderate for the cyclobutane pyrimidine dimer (CPD) (1.26) and much higher for the (6-4) photoproduct (1.8). These data strongly suggest that the CPD and (6-4) photoproduct arise from distinct minor stacked conformations.

Further insight in the photochemistry of DNA: structure of a 2-imidazolone (5-4) pyrimidone adduct derived from the mutagenic pyrimidine (6-4) pyrimidone photolesion by UV irradiation.

Pyrimidine (6-4) pyrimidone photoproducts represent one of the major mutagenic and carcinogenic class of DNA damage produced by UV exposure. At present, besides their conversion to their Dewar valence isomer, (6-4) photoproducts are generally believed to be photostable, and the observed biological properties of Paterno-Büchi-derived photoproducts are, thus far, exclusively attributed to these two types of compounds. Using a model system (2) relevant to DNA photochemistry, we have observed that the 5'-base moiety of the (6-4) thymine dimer 3, under far-UV radiation, is able to undergo a ring contraction leading to a 2-oxoimidazoline, 1. This unprecedented secondary photochemical reaction constitutes the first report of a major photomodification affecting (6-4) photoproducts and strongly questions the biological stability of the (6-4) adducts under UV light with 2-imidazolone (5-4) pyrimidone adducts being possibly another source of endogenous DNA damage.