Fostering Employees' Voluntary Green Behavior:The Role of Environmentally Specific Servant Leadership, Positive Affectivity, and Workplace Anxiety

The recent introduction of servant leadership into the research on pro-environmental behavior in organizations has stimulated interest and concern among scholars on how an environmentally specific servant leader fosters their subordinates' green behavior. Drawing from affective event theory, this study focuses on the underlying affective mechanism linking environmentally specific servant leadership and employee voluntary green behavior. Using two-wave data from 190 employees in two organizations, we found that environmentally specific servant leadership was indirectly related to employee voluntary green behavior via positive affectivity. Moreover, workplace anxiety moderated the indirect effect, such that it was only significant and positive under low levels of workplace anxiety. Overall, our study sheds light on the role the effect plays in unpacking the influence of environmentally specific servant leadership on employee voluntary green behavior

Plasma microRNA Profiles as a Potential Biomarker in Differentiating Adult-Onset Still's Disease From Sepsis

Adult-onset Still's disease (AOSD) is a systemic inflammatory disease characterized by cytokine storm. However, a diagnostic test for AOSD in clinical use is yet to be validated. The aim of our study was to identify non-invasive biomarkers with high specificity and sensitivity to diagnosis of AOSD. MicroRNA (miRNA) profiles in PBMC from new-onset AOSD patients without any treatment and healthy controls (HCs) were analyzed by miRNA deep sequencing. Plasma samples from 100 AOSD patients and 60 HCs were used to validated the expression levels of miRNA by qRT-PCR. The correlations between expression levels of miRNAs and clinical manifestations were analyzed using advanced statistical models. We found that plasma samples from AOSD patients showed a distinct miRNA expression profile. Five miRNAs (miR-142-5p, miR-101-3p, miR-29a-3p, miR-29c-3p, and miR-141-3p) were significantly upregulated in plasma of AOSD patients compared with HCs both in training and validation sets. We discovered a panel including 3 miRNAs (miR-142-5p, miR-101-3p, and miR-29a-3p) that can predict the probability of AOSD with an area under the receiver operating characteristic (ROC) curve of 0.8250 in training and validation sets. Moreover, the expression levels of 5 miRNAs were significantly higher in active AOSD patients compared with those in inactive patients. In addition, elevated level of miR-101-3p was found in AOSD patients with fever, sore throat and arthralgia symptoms; the miR-101-3p was also positively correlated with the levels of IL-6 and TNF-α in serum. Furthermore, five miRNAs (miR-142-5p, miR-101-3p, miR-29c-3p, miR-29a-3p, and miR-141-3p) expressed in plasma were significantly higher in AOSD patients than in sepsis patients (P < 0.05). The AUC value of 4-miRNA panel (miR-142-5p, miR-101-3p, miR-29c-3p, and miR-141-3p) for AOSD diagnosis from sepsis was 0.8448, revealing the potentially diagnostic value to distinguish AOSD patients from sepsis patients. Our results have identified a specific plasma miRNA signature that may serve as a potential non-invasive biomarker for diagnosis of AOSD and monitoring disease activity

Frequent alterations in cytoskeleton remodelling genes in primary and metastatic lung adenocarcinomas

The landscape of genetic alterations in lung adenocarcinoma derived from Asian patients is largely uncharacterized. Here we present an integrated genomic and transcriptomic analysis of 335 primary lung adenocarcinomas and 35 corresponding lymph node metastases from Chinese patients. Altogether 13 significantly mutated genes are identified, including the most commonly mutated gene TP53 and novel mutation targets such as RHPN2, GLI3 and MRC2. TP53 mutations are furthermore significantly enriched in tumours from patients harbouring metastases. Genes regulating cytoskeleton remodelling processes are also frequently altered, especially in metastatic samples, of which the high expression level of IQGAP3 is identified as a marker for poor prognosis. Our study represents the first large-scale sequencing effort on lung adenocarcinoma in Asian patients and provides a comprehensive mutational landscape for both primary and metastatic tumours. This may thus form a basis for personalized medical care and shed light on the molecular pathogenesis of metastatic lung adenocarcinoma

Application of Fuzzy Quantitative Theory for Crash Rate Prediction at Roadway Sections

AbstractA traffic crash prediction model was developed to accurately estimate roadway section safety. Crash rate of a roadway section was selected as the predicting measure. Moreover, the following seven factors were selected as major influencing factors: number of years of driving, number of lanes, radius of horizontal curves, longitudinal grade, road surface status, type of intersection, and width of road surface. The traffic crash prediction model was established based on fuzzy quantitative theory. To validate the model, crash data were collected at an actual site between 490.900km to 550.789km on a national highway. The result from the model was in agreement with the actual field data. The conclusion is that the model can be applied to other roadway locations

Further comprehension of natural gas accumulation, distribution, and prediction prospects in China

In-depth research reveals that the natural gas accumulation and distribution are characterized by cycle, sequence, equilibrium, traceability, and multi-stage. To be specific, every geotectonic cycle represents a gas reservoir forming system where natural gas is generated, migrated, accumulated, and formed into a reservoir in a certain play. Essentially, hydrocarbon accumulation occurs when migration force and resistance reach an equilibrium. In this situation, the closer to the source rock, the higher the accumulation efficiency is. Historically, reservoirs were formed in multiple phases. Moreover, zones in source rocks and adjacent to source rocks, unconformity belts, and faulted anticline belts are favorable areas to finding large gas fields. Apart from the common unconformity belts and faulted anticline belts, in-source and near-source zones should be considered as critical targets for future exploration. Subsequent exploration should focus on Upper Palaeozoic in the southeastern Ordos Basin, Triassic in southwestern Sichuan Basin, Jurassic in the northern section of the Kuqa Depression and other zones where no great breakthroughs have been made. Keywords: Large gas field, Distribution characteristics, Potential zone, Prospec

Steroselective synthesis of 2-C-acetonyl-2-deoxy-D-galactosides using 1,2-cyclopropaneacetylated sugar as novel glycosyl donor

1,2-Cyclopropaneacetylated sugar is an effective glycosyl donor, which reacted with various glycosyl acceptors including monosaccharides, amino acids and other alcohols in the presence of BF3 19OEt2 or TMSOTf. The glycosylation is stereoselective in favor of \u3b2-anomeric products with BF3\u2022OEt2 as catalyst, whereas TMSOTf-catalyzed glycosylation prefers the r-anomeric products. 2-C-Acetonyl-2-deoxy-D-galactosides were obtained in good yields.Peer reviewed: YesNRC publication: Ye

Multipole Dirichlet-to-Neumann map method for photonic crystals with complex unit cells

The periodicity of photonic crystals can be utilized to develop efficient numerical methods for analyzing light waves propagating in these structures. The Dirichlet-to-Neumann (DtN) operator of a unit cell maps the wave field on the boundary of the unit cell to its normal derivative, and it can be used to reduce the computation to the edges of the unit cells. For two-dimensional photonic crystals with complex unit cells each containing a number of possibly different circular cylinders, we develop an efficient multipole method for constructing the DtN maps. The DtN maps are used to calculate the transmission and reflection spectra for finite photonic crystals with complex unit cells.