Safety-Specific Leadership, Goal Orientation, and Near-Miss Recognition: The Cross-Level Moderating Effects of Safety Climate

Near-miss recognition is an increasingly important area of research in safety management. Drawing on the self-determination theory, we ask whether and how safety-specific transformational leadership and safety-specific active transactional leadership promote near-miss recognition. We also explore the boundary condition by focusing on the moderating role of safety climate. We analyzed time-lagged data from 370 participants, and found that safety-specific transformational leadership enhances employees’ near-miss recognition (by enhancing their learning goal orientation), and that safety-specific active transactional leadership also positively influences employees’ near-miss recognition (by stimulating their performance goal orientation). In addition, we show that safety climate strengthens the relationship between safety-specific transactional leadership and employees’ performance goal orientation, but does not affect the relationship between safety-specific transformational leadership and employees’ learning goal orientation. We discuss the implications and limitations of the research

Genetic and QTL mapping in African bermudagrass

Cynodon transvaalensis Burtt-Davy is frequently used to cross with C. dactylon Pers. in the creation of F1 hybrid cultivars that are some of the most widely used in the worldwide turf industry. However, molecular resource development in this species is limited. Accordingly, the objectives of this study were to construct a high-density genetic map, and to identify genomic regions associated with establishment rate. In this study, we constructed the first high-density linkage map for African bermudagrass using a genotyping by sequencing approach based on 109 S1 progenies. A total of 1,246 single nucleotide polymorphisms and 32 simple sequence repeat markers were integrated in the linkage map. The total length of nine linkage groups was 882.3 cM, with an average distance of 0.69 cM per interval. Four genomic regions were identified to be associated with sod establishment rate. The results provide important genetic resources towards understanding the genome as well as marker-assisted selection for improving the establishment rate in bermudagrass breeding.Horticulture and Landscape ArchitecturePlant and Soil Science

Factors Associated With Dyskinesia in Parkinson's Disease in Mainland China

Background and Objectives: Studies examining the risk factors for dyskinesia in Parkinson's disease (PD) have been inconsistent, and racial differences exist. Since there have been no systematic studies of the characteristics of dyskinesia in the Mainland Chinese population, we sought to elucidate the risk factors for dyskinesia.Methods: A total of 1974 PD patients from Mainland China were systematically investigated by univariable and multivariable analyses. PD patients with and without dyskinesia were stratified into 4 groups according to levodopa equivalent daily dose (LEDD) and analyzed by a Cox proportional hazards model. A longitudinal study of 87 patients with dyskinesia was classified into 3 groups according to the duration from onset of PD to the initiation of levodopa, and comparisons among groups were analyzed by the Mann-Whitney test.Results: Early age of onset, long disease duration, being female, high LEDD, low UPDRS III scores (ON-state) and high Hoehn-Yahr stage (ON-state) were predictors of dyskinesia. Dyskinesia was levodopa dosage-dependent, and the incidence increased remarkably when LEDD exceeded 300 mg/d (p < 0.05). The emergence of dyskinesia had no association with the initiation time of levodopa, and if the latter was more than 4 years, the duration of time on chronic levodopa free of motor complications was significantly shortened.Conclusions: We found risk factors for the prediction of dyskinesia. Our data shows that physicians should be cautious if the LEDD exceeds 300 mg/d. The development of dyskinesia was not correlated with the time of levodopa initiation

Generic Hebbian ordering-based fuzzy rule base reduced neuro-fuzzy system with fuzzy rule interpolation (RS-Hebb+)

Neuro-fuzzy system, traditionally used in dynamic data sets modelling, is now evolving rapidly in both structure and style, including the trends from offline system changing to online system, and increasingly more concepts added to address issues like data sparsity, time-variants and non-linearity. As theoretical researches go on, the results have also been applied in a wild range of industries, including traffic control, rainfall prediction and financial markets. Nevertheless, most of the systems now existing are not capable enough to dealing with sparse and dynamic time series data, which can be widely found in stock markets. Besides the other popular techniques introduced to address this issue, interpolation and extrapolation are the ones that gives most promising results and potential improvements on the existing system. Inspired by the paper “Fuzzy interpolation and extrapolation: a practical approach” (Huang and Shen, 2008) [1], this paper is built on the base of Liu’s work in [2] (RS-Hebb) with interpolation/extrapolation techniques to address the data sparsity. This improvement enable the original system by Liu to deal with sparse data as concept drift and shift happens. The RS-Hebb mostly address the trade-off of two requirements of neuro-fuzzy modeling: firstly, interpretability, which means to what degree the behavior of the system can be described in an interpretable way; Secondly, accuracy, that whether the outcome can be approximated accurately. The proposed model is named as Hebbian Ordering-Based Fuzzy Rule Base Reduced Mamdani Neuro-Fuzzy System with Fuzzy Rule Interpolation (RS-Hebb+). The Hebb rule reduction balance interpretability and accuracy by interactively parameter tuning. Hebbian ordering, representing the percentage of samples covered by each rule, is used when merging membership functions(MF) and number of rules. Only MFs that above certain threshold of similarity measure is kept, when others are merged and deleted from rule base. Inherited the properties of RS-Hebb, RS-Hebb+ has the following advantages: (1) The rule base generated is intuitive, consistent and compact, which includes a reduced attribute set, well-separated membership functions in every dimension of inputs, and comparably small number of rules. (2) Trade-off between interpretability and accuracy is well balanced, by Hebb rule reduction. (3) It is capable for dealing with concept drift and shift through interpolation when the data is sparse. The proposed RS-Hebb+ model is benchmarked against several existing systems by applying to datasets with different properties. The model is then applied in a well-established trading system for stock market, showing promising and encouraging results.Bachelor of Engineering (Computer Science

A three-dimensional viscoelastic analysis of thermoplastic resin matrix composite laminates during hot stamping

In this paper, a three-dimensional thermo-viscoelastic constitutive equation is used to simulate and analyze the hot stamping process of thermoplastic resin matrix composites. Dynamic mechanical analyzer (DMA) was used to measure the relaxation behavior of resin matrix at different temperatures. Then, the relaxation times and the weight factors of the resin matrix were obtained by regression analysis of the data of the resin matrix relaxation behavior using genetic intelligent algorithm. According to the classical Maxwell model with N Maxwell elements and representative volume element (RVE), the integral constitutive model was established, and the corresponding integral finite element program was incorporated into commercial software ABAQUS with an UMAT subroutine.Thermal expansion was also taken into account in the present model. The constitutive model and its finite element program in this paper were verified by experiments with a self-designed hot stamping die for thermoplastic composites.In addition, the simulation results were compared with the actual failure areas to further verify the applicability of the constitutive model adopted in this paper. The results indicate that the ball edge of the hemispherical part is easy to be damaged

Study on the Metabolic Reprogramming of Lung Cancer Cells Regulated by Docetaxel Based on Metabolomics

Background and objective Docetaxel is a commonly used anti-tumor drug in clinic, especially as the first-line drug for advanced non-small cell lung cancer (NSCLC). However, the molecular mechanism of docetaxel against NSCLC is still unclear. Increasing studies have shown that metabolic reprogramming of tumor cells plays an important role in tumorigenesis. The aim of this study was to investigate the effects of docetaxel on the metabolic pathway of NSCLC cells based on metabolomics analysis and biological means. Methods First, we performed CCK8 assay to analyze the effects of docetaxel on cell viability of NSCLC cells and also to screen the appropriate drug concentration. Then, the differential metabolites of docetaxel-treated and untreated NSCLC cells were analyzed by gas chromatography-mass spectrometry based metabolomics. Finally, the effects of docetaxel on the expression levels of key enzymes that regulate the relevant metabolic pathways were determined by Western blot. Results Docetaxel inhibited cell viability of A549 and H1299 cells in a concentration- and time-dependent manner. With the prolonged treatment time of docetaxel, the apoptotic sensitive protein poly (ADP-ribose) polymerase (PARP) was gradually activated to form a P89 fragment. Metabolomics analysis showed that eight metabolites were significantly changed in both A549 and H1299 cells following docetaxel treatment, which were mainly in the tricarboxylic acid (TCA) cycle pathway. Moreover, after docetaxel treatment, the protein expression levels of isocitrate dehydrogenases, the key regulators of the TCA cycle, were obviously decreased in both A549 and H1299 cells. Conclusion Our findings suggest that the effect of docetaxel-induced proliferation inhibition and apoptosis in NSCLC might be associated with down-regulation of isocitrate dehydrogenases and suppression of the TCA cycle pathway

Late Permian High-Ti and Low-Ti Basalts in the Songpan–Ganzi Terrane: Continental Breakup of the Western Margin of the South China Block

Although the Emeishan Large Igneous Province (ELIP) has been thoroughly researched, the role of the ELIP in the tectonics of the Songpan–Ganzi extensional basin in the eastern Tibetan Plateau has long been argued without any corroborated and robust evidence. We have investigated the basalt succession of the Dashibao Formation along Xindianzi and Xuecheng sections in the southeast margin of the Songpan–Ganzi Terrane (SGT). New SIMS zircon U-Pb ages and geochemical features of the Dashibao Formation are reported in this paper. Zircons of basalt sample XDZ02-1 yielded a weighted mean age of 259.1 ± 1.66 Ma, which is in alignment with the period when the main eruption of the ELIP occurred. Zircons from two tuff samples XDZ05-1 and XC05-2, overlying the basalt succession, were dated at 251.8 ± 1.57 Ma and 251.5 ± 0.27 Ma, respectively. These new dating results revealed a ~10 Ma eruption for the Dashibao basalts. The Dashibao basalts are geochemically classified into alkaline basalts (Group 1) and tholeiitic basalts (Group 2), which are a part of the Emeishan basalt. We thus propose that the Dashibao basalts erupted in a continental rift setting, located at the margin of the ELIP. The temporal and spatial coincidence of the Dashibao basalt, ELIP, and continental rifting in the western margin of the South China Block suggest that the continental breakup is a response to the Permian mantle plume that triggered the separation of the SGT in the eastern Tibetan Plateau

A Study on Hot Stamping Formability of Continuous Glass Fiber Reinforced Thermoplastic Composites

In this study, hot stamping tests on continuous glass fiber (GF)-reinforced thermoplastic (PP) composites were conducted under different process parameters using a self-designed hemispherical hot stamping die with a heating system. The effects of parameters such as preheating temperature, stamping depth, and stamping speed on the formability of the fabricated parts were analyzed using optical microscopy and scanning electron microscopy (SEM). The test results show that the suitable stamping depth should be less than 15 mm, the stamping speed should be less than 150 mm/min, and the preheating temperature should be about 200 °C. From the edge of the formed parts to their pole area, a thin-thick-thin characteristic in thickness was observed. Under the same preheating temperature, the influence of stamping depth on the thickness variation of the formed parts was more significant than the stamping speed. The primary defects of the formed parts were cracking, wrinkling, delamination, and fiber exposure. Resin poverty often occurred in the defect area of the formed parts and increased with stamping depth and stamping speed