bluuebunny/crossref_metadata_2025_split huggingface dataset:
Does Greenwashing Affect Employee’s Career Satisfaction? The Mediating Role of Organizational Pride, Negative Emotions and Affective Commitment.
Authors: Santos Célia , Coelho Arnaldo , Marques Alzira 
Published: December 2021

Abstract
Greenwashing occurs when companies deliberately deceive or mislead stakeholders regarding their environmental practices or benefits of a product/service. Most existing greenwashing studies focus on consumers, and the effects on employees have seldom been examined. Furthermore, little is known about how employees may respond emotionally to their company's greenwashing practices. Accordingly, the current research conducted an empirical study of the relationship between employees’ greenwashing perception and their career satisfaction. The mediating roles of organizational pride, negative emotions, and affective commitment are also examined. Based on information collected through a questionnaire applied to 398 Portuguese employees, a quantitative, causal, cross-sectional study was carried out, using structural equation model techniques, through AMOS. The results indicate that employees’ perception of greenwashing relates negatively to their career satisfaction, organizational pride, and affective commitment. In turn, negative emotions are positively impacted by greenwashing. The results also reveal that the path between perceived greenwashing of employees and career satisfaction is established not only directly, but also through organizational pride and affective commitment. This study extends the literature by addressing the neglected side of employees’ emotional reactions to greenwashing. Based on the central premise that corporate greenwashing is inherently an immoral act, we draw upon appraisal theory and moral foundations theory to investigate short-term (affective commitment, negative emotions, and organizational pride) and long-term work-related effects (career satisfaction) as an outcome for greenwashing.
Doxorubicin and siRNA co-delivery System Based on Carbon Dots Inhibits Chemoresistance of Lung Cancer Through MRP1
Authors: Hui Luo , Kexin Tang , Xi Lin , Yongquan Huang , Ting Yu , Qiang Wang , Lili Wu , Lei Yang , Yu Hailing , Hong Shan 
Published: December 2021

Abstract
BackgroundAcquired resistance against chemotherapeutic drugs hinders the clinical efficacy of treatments in lung cancer. To circumvent the developed resistance, we aim to target critical signaling molecules related with chemoresistance through co-delivering siRNA and chemotherapeutics. The co-delivery strategy may address the unmet need to efficiently counteracting the multidrug resistance in treating lung cancer. MethodsA co-delivery nanosystem that could carry siRNA and DOX simultaneously has been studied in this work. The co-delivery is based on carbon dots was surface-modified with poly-ethylenimine (PEI), and loaded the siMRP1 and chemotherapeutics on the surface with pH-triggered drug release. The CD-PEI was synthesized by one-step microwave assisted method; the PEI were raw materials and passivator during the reaction process that makes CD exhibit excellent optical property.ResultsThe CD-PEI was capable of loading and delivering siMRP1 and DOX to tumor and release synchronously in cells by acid-triggered manner.The expression of MRP1 in A549 and A549/ADM cells were successfully knocked down by siRNA. The silencing of MRP1 by co-delivery system could increase DOX accumulation and significantly enhance the inhibitory effect of cell viability. Moreover, the co-delivery system enhances the inhibitory effect of metastatic potential elicited by doxorubicin in A549 and A549/ADM cells.Conclusion﻿By suppressing MRP1, the co-delivery system can obviously increase the drug cellular accumulation and inhibit the cell proliferation, migration and invasion of lung cancer, implying its potential application to overcome chemoresistance and enhance therapeutic efficiency in clinical practices.
Context-aware POI Recommendation using Neutrosophic Set for Mobile Edge Computing
Authors: Zheng Meiguang , Li Yi , He Zhengfang , Hu Yu , Li Jie , Yang Liu 
Published: December 2021

Abstract
With the rapid development of mobile communication technology, there is a growing demand for high-quality point of interest(POI) recommendation. The POIs visited by users only account for a very small proportion. Thus traditional POI recommendation method is vulnerable to data sparsity and lacks a clear and effective explanation for POI ranking result. The POI selection made by the user is influenced by various contextual attributes. The challenge lies in representing accurately and aggregating multiple contextual information efficiently. We transform the POI recommendation into a contextual multi-attribute decision problem based on the neutrosophic set (NS) which is suitable for representing fuzzy decision information. We establish a unified framework of contextual information. Firstly, we propose a contextual multi-attribute NS transformation model of POI, including the NS model for single-dimensional attributes and the NS model for multi-dimensional attributes. And then through the aggregation of multi attribute NS, the POI that best conforms to user's preferences is recommended. Finally, the experimental results based on the Yelp dataset show that the proposed strategy performs better than the typical POI recommendation method in NDCG, accuracy, and recall rate.
Estimating the role of climate internal variability and source of uncertainties in hydrological climate-impact projections
Authors: Cai Wenjun , Liu Jia , Zhu Xueping , Zhao Xuehua 
Published: December 2021

Abstract
Hydrological climate-impact projections in future are limited by large uncertainties from various sources. Therefore, this study aimed to explore and estimate the sources of uncertainties involved in climate changing impacted assessment in a representative watershed of Northeastern China. Moreover, recent researches indicated that the climate internal variability (CIV) plays an important role in various of hydrological climate-impact projections. Six downscaled Global climate models (GCMs) under two emission scenarios and a calibrate Soil and Water Assessment Tool (SWAT) model were used to obtain hydrological projections in future periods. The CIV and signal-to-noise ratio (SNR) are investigated to analyze the the role of internal variability in hydrological projections. The results shows that the internal variability shows a considerable influence on hydrological projections, which need be partitioned and quantified particularly. Moreover, it worth noting the CIV can propagate from precipitation and ET to runoff projections through the hydrological simulation process. In order to partition the CIV and sources of uncertainties, the uncertainty decomposed frameworks based on analysis of variance (ANOVA) are established. The results demonstrate that the CIV and GCMs are the dominate contributors of runoff in rainy season. In contrast, the CIV and SWAT model parameter sets provided obvious uncertainty to runoff in January to May and October to December. The findings of this study advised that the uncertainty is complex in hydrological simulation process hence, it is meaning and necessary to estimate the uncertainty in climate simulation process, the uncertainty analysis results can provide effectively efforts to reduce uncertainty and then give some positive suggestions to stakeholders for adaption countermeasure under climate change.
Degree-of-Freedom Analysis and Structural Synthesis of a Class of Host–Parasite Multi-Loop Mechanisms
Authors: Wei Wei , Dong Geyu 
Published: December 2021

Abstract
The method of analyzing the mechanism in series, parallel and hybrid modes can no longer meet the requirements of analyzing multi-loop mechanisms (MLMs), especially multi-loop mechanisms with passive degrees of freedom(P-DOFs).This study presents an approach to analyzing sub-degree-of-freedom (sub-DOF) relations in a class of MLMs with P-DOFs (P-DOFs) as well as structurally synthesizing these mechanisms. First,the DOFs of mechanisms with P-DOFs are decomposed and combined,and two methods—multi-loop serial connection and multi-loop stacking—are formulated to establish MLMs with P-DOFs.Second, a DOF space (DOF-S) model is generated.Host–parasite (H–P) MLMs are proposed, and various types of parasitism are analyzed. Finally, various DOF distribution patterns in H–P MLMs are analyzed based on real-world examples. The results show the following. H–P mechanisms are a class of MLMs with P-DOFs. For an H–P mechanism, its DOFs can be longitudinally and centrally, transversely and centrally, or comprehensively optimally distributed in the DOF-S by selecting a suitable type of parasitism. The H–P-type palletizing robot prototype developed in this study is able to self-balance. This demonstrates that the comprehensive optimization of DOF distribution is effective. This study enriches the theoretical knowledge on MLMs, which are extensively applied in fields such as aerospace, industrial robotics, and numerical-control machine tools.
Structure-Based Virtual Screening, Insilico Docking, ADME Prediction, and Molecular Dynamics Studies for Identification of Potential NMT Inhibitors Against Malaria
Authors: Anbuselvam Mohan , Katherine C Ji , Jeeva Anbuselvam , Ji Hai-Feng 
Published: December 2021

Abstract
One of the major public health problems globally, malaria, is mainly caused protozoan parasites from the genus Plasmodium, and commonly spreads to people through the bites of infected female mosquitoes of the genus Anopheles. Strategies for treatment, prevention, and control are available for malaria but the eradication of malaria still poses great challenge due to plasmodium’s drug resistance over the past decades. Development of novel antimalarial drugs remains a significant task to protect people from malaria. N-Myristoyl transferase is responsible for the N-Myristoylation catalysis process and the survival of Plasmodium species. Thus, it is considered a therapeutic drug target in protozoans and was recently validated as a significant target for Plasmodium vivax. In this present scenario, we endeavour to identify effective NMT inhibitors to prevent the onset of malaria in the human species. Initially, the structure-based virtual screening was executed against ZINC database and four potential candidates for NMT were identified. Furthermore, the four identified compounds were subjected to ADME prediction and all the four compounds found within adequate range with predicted ADME properties. Eventually, we conducted the molecular dynamics simulation to investigate the binding stability of top three protein-ligand complexes at different time scale by employing the tool Desmond. The molecular dynamics simulation studies revealed the protein-ligand complexes were stable throughout the entire simulation. Besides, we noticed that the residues ASN 365, PHE 103 and HIS 213 of NMT were crucially involved in the formation of various intermolecular interactions, significantly contributing to the stability of protein-ligand complexes. From this computational investigation, we suggest that the three identified potential compounds are extremely useful for further lead optimization and drug development.
Prognostic Value of Drug Targets Predicted using Deep Bioinformatic Analysis of M6A-associated lncRNA-based Pancreatic Cancer Model Characteristics and its Tumour Microenvironment
Authors: Cao Peng-wei , Liu Lei , Li Zi-Han , Cao Feng , Liu Fu-Bao 
Published: December 2021

Abstract
Background: The role of N6-methyladenosine (m6A)-associated long-stranded non-coding RNA (lncRNA) in pancreatic cancer is unclear. Therefore, we analysed the characteristics and tumour microenvironment in pancreatic cancer and determined the value of m6A-related lncRNAs for prognosis and drug target prediction.Methods: An m6A-lncRNA co-expression network was constructed using The Cancer Genome Atlas database to screen m6A-related lncRNAs. Prognosis-related lncRNAs were screened using univariate Cox regression; patients were divided into high- and low-risk groups and randomised into training and test groups. In the training group, least absolute shrinkage and selection operator (LASSO) was used for regression analysis and to construct a prognostic model, which was validated in the test group. Tumour mutational burden (TMB), immune evasion, and immune function of risk genes were analysed using R; drug sensitivity and potential drugs were examined using the Genomics of Drug Sensitivity in Cancer database.Results: We screened 129 m6A-related lncRNAs; 17 prognosis-related m6A-related lncRNAs were obtained using multivariate analysis and three m6A-related lncRNAs (AC092171.5, MEG9, AC002091.1) were screened using LASSO regression. Survival rates were significantly higher (P < 0.05) in the low-risk than in the high-risk group. Risk score was an independent predictor affecting survival (P < 0.001), with the highest risk score being obtained by calculating the c-index. The TMB significantly differed between the high- and low-risk groups (P < 0.05). In the high- and low-risk groups, mutations were detected in 61 of 70 samples and 49 of 71 samples, respectively, with KRAS, TP53, and SMAD4 showing the highest mutation frequencies in both groups. A lower survival rate was observed in patients with a high versus low TMB. Immune function HLA, Cytolytic activity, and Inflammation-promoting, T cell co-inhibition, Check-point, and T cell co-stimulation significantly differed in different subgroups (P < 0.05). Immune evasion scores were significantly higher in the high-risk group than in the low-risk group. Eight sensitive drugs were screened: ABT.888, ATRA, AP.24534, AG.014699, ABT.263, axitinib, A.443654, and A.770041.Conclusions: We screened m6A-related lncRNAs using bioinformatics, constructed a prognosis-related model, explored TMB and immune function differences in pancreatic cancer, and identified potential therapeutic agents, providing a foundation for further studies of pancreatic cancer diagnosis and treatment.
Elucidation of Genetic Diversity as Morphological, Phytochemical and Molecular Markers in Some Hawthorn (Crataegus) Genotypes
Authors: YILDIZ Ercan , YAMAN Mehmet , SÜMBÜL Ahmet , SAY Ahmet 
Published: December 2021

Abstract
Backround:

Thanks to its ecological and geographical location, Turkey is the homeland of many fruit species and allows many fruit species to be grown. Hawthorn, which is understood to be important in human health and nutrition, is one of these fruit types. This study was carried out to identify morphological, biochemical and molecular genetic variations of 22 hawthorn genotypes belonging to three different species collected from Kayseri province.
Methods and Results:

Morphological, biochemical and molecular marker (ISSR) techniques were used to determine genetic diversity. The fruit and leaf characteristics of the genotypes showed differences. Among the biochemical properties of the genotypes, the antioxidant activity ranged from 23.13–61.59%, the total flavonoid content ranged from 16.63 to 57.22 mg QE/100 g, and the total phenolic content ranged from 277.28 to 310.80 mg GAE/100 g. Genotypes were compared with principal component analysis according to their morphological and biochemical characteristics. In the principal component analysis, species generally formed similar clusters. In molecular marker analysis, 101 bands were obtained from 13 ISSR primers. 76 of the bands are polymorphic and the polymorphism rate was calculated as 75.24%. The similarity index in the UPGMA dendogram obtained as a result of the molecular analysis ranged between 0.71 and 0.88. In the dendrogram, genotypes did not show a dense clustering by species.
Conclusion

The results obtained may benefit researchers in the determination and protection of gene sources in breeding studies on hawthorn species.
LIM Homeobox Transcription Factors as Novel Prognosis Biomarkers in Head and Neck Squamous Cell Carcinoma
Authors: Lu Chen , Duan Cong-cong , Bing Han 
Published: December 2021

Abstract
Background: LIM class homeobox (LHX) genes, an important subfamily of the homeobox genes, encode transcription factors that have a fundamental role during embryonic development. However, knowledge regarding the function and mechanism of LHXs in head and neck squamous cell carcinoma (HNSCC) is still lacking. Methods: We conduct a bioinformatic analysis to systematically explore the mRNA expression, clinical correlation, prognostic values, and underlying mechanisms of distinct LHXs in HNSCC. The differentially expressed mRNAs in the LIM homeobox gene family and their correlation with clinical variables were determined and verified with packages in software R. The prognosis values of LHXs expression levels were evaluated by Kaplan-Meier (KM) method and Cox proportional hazard model. Gene set enrichment analysis (GSEA) was conducted to understand the potential biological function of LHXs. The immune cell infiltration patterns were estimated through CIBERSORT and TIMER, and the methylation levels of LHXs in HNSCC were explored in UALCAN and MEXPRESS.Results: We found that among 12 LHXs, 8 genes (ISL1, LHX1-3, 5, 9, LMX1A, and LMX1B) showed altered expression in HNSCC tissues and detected significant correlations between their expression and clinical variables. Survival analysis revealed that LHX1, LHX5, LMX1A, LMX1B can serve as unfavorable prognosis predictors, and ISL1, LHX2, LHX9 can serve as favorable predictors in all HNSCC patients. Gene sets enrichment analysis and immune infiltration analyses showed that the aberrant expression of LHXs was closely related to cancer-associated processes and immune cell infiltration patterns. Finally, we observed hyper-methylation in the promoters of ISL1, LHX2, 5, 9, LMX1A, LMX1B and hypo-methylation in LHX3 promoter, suggesting the regulatory mechanism of LHXs abnormal expression may be related to aberrant DNA methylation. Conclusions: Our study found the oncogenic roles of LHX1,5 and LMX1B and the tumor-suppressor roles of ISL1 and LHX2 in patients with HNSCC, suggesting these LHXs as novel diagnostic and prognostic biomarkers for HNSCC.
Superflares and Starspots: when size does not matter
Authors: Araujo Alexandre , Valio Adriana 
Published: December 2021

Abstract
Within the last decade, space missions have provided a wealth of information about stellar flares. Nevertheless, what triggers these superflares, and whether they are similar to the solar counterparts, remains a great mystery. How are flares connected to active regions and what are the main causes of their occurrence? Here we investigate the activity of two K-type stars, similar in every way from mass to rotation periods and planetary systems. Even if both stars exhibited hundreds of spots, Kepler-411 produced 65 superflares, while Kepler-210 presented none. The spots of both stars were characterised using the planetary transit mapping technique which yields the intensity, temperature, and radius of starspots. The only discrepant parameter was the size of the spots. While the average radius of spots on Kepler-411 was (17 ± 7) × 103 km, for Kepler-210 the mean radius was (39 ± 18) × 103 km. That is, the star with no superflare exhibited spots twice as large as the one with 65 superflares. Thus starspot area appears not to be the main culprit of superflare triggering, but rather the magnetic complexity seems more important, as in the case of the Sun. These are important clues to the magnetic dynamo acting on these solar-type stars.
BRD4 PROTAC Degradation Agent GNE-987 Inhibits Acute Myeloid Leukemia by Targeting Super Enhancers
Authors: Sang Xu , Zhang Yongping , Fang Fang , Gao Li , Tao Yanfang , Li Xiaolu , Zhang Zimu , Wang Jianwei , Tian Yuanyuan , Li Zhiheng , Yao Di , Wu Yumeng , Chu Xinran , Zhang Kunlong , Ma Li , Lu Lihui , Chen Yanling , Yu Juanjuan , Zhuo Ran , Wu Shuiyan , Zhang Zhen , Pan Jian , Hu Shaoyan 
Published: December 2021

Abstract
Background: Acute myeloid leukemia (AML) is a common hematological malignancy in children, with poor treatment effect and poor prognosis. Recent studies have shown that bromodomain and terminal protein inhibitors are promising antitumor drugs. As a new type of BRD4 PROTAC degradation agent, GNE-987 can slow down the growth rate of a variety of tumors and cause apoptosis, which has broad clinical prospects. However, the role of GNE-987 in AML is unclear. This study aims to explore the therapeutic effect of GNE-987 in AML and its underlying mechanism.Methods: By studying public databases, the prognostic significance of BRD4 and the correlation between AML were evaluated, and the relationship between BRD4 and the overall survival rate of AML patients was also analyzed. After adding GNE-987 to the AML cell line, cell proliferation slowed down, cycle disorder, and apoptosis increased. In the cells treated with GNE-987, western-blotting was used to detect BRD2, BRD3, BRD4 and PARP proteins. The effect of GNE-987 on AML cells was analyzed in vivo. RNA-seq and chromatin immunoprecipitation sequencing (ChIP-seq) confirmed the function and molecular pathway of GNE-987 in processing AML. Results: Compared with healthy donors, the expression of BRD4 in children's AML samples was higher than that of healthy donors. The high expression of BRD4 indicates a poor prognosis. GNE-987 inhibits AML cell proliferation by inhibiting the cell cycle and inducing apoptosis. BRD2, BRD3 and BRD4 are consistent with the decreased expression of VHL in AML cells. Compared with JQ1 and ARV-825, GNE-987 has a lower IC50 in AML cells. In the AML xenograft model, GNE-987 significantly reduced the liver and spleen infiltration of leukemia cells, increased the survival time of mice, and caused BRD4, Ki67 dysregulation and caspase3 activation. According to the analysis of RNA-seq and ChIP-seq, GNE-987 can inhibit AML by targeting numerous super-enhancers.Conclusions: GNE-987 has strong anti-tumor activity in AML cell lines and primary child AML samples. GNE-987 works by degrading the BET protein, thereby effectively inhibiting the expression of super enhancers and related oncogenes (such as LYL1). These results indicate that GNE-987 has very broad prospects for the treatment of AML.
Evaluation of Total Phenolic, Total Flavonoid Content And Antioxidant Activity of Rhus Vulgaris
Authors: Belew Aderaw Anteneh , W/Hana Getachew G/Mariam , Meshesha Desta Shumuye , Akele Mulugeta Legese 
Published: December 2021

Abstract
Background: Rhus vulgaris is rich in various classes of polyphenols and flavonoids that act as free radical scavengers and reduce oxidative stress and cure various harmful human diseases. The plant is a traditionally known medicinal plant which is used against a number of diseases including cancer. Methods: The current investigation points towards the investigating quantitative phenolic contents, flavonoid contents and the free radical scavenging activity & antioxidant activity of Rhus vulgaris extract in n-hexane, acetone, and 80% of aqueous methanol. The phenolic contents were estimated by Folin–Ciocalteu procedure and gallic acid as a reference molecule whereas the total flavonoid contents were determined by using aluminum chloride and catechin. In addition, the dilution serial method was used to evaluate the leaves extract of rhus vulgaris, and the DPPH (2,2-diphenyl-1-picrylhydrazyl) method was utilized to assess the above-mentioned extracts against oxidative stress. Results: The result revealed that the ranges of total phenolic content from 5.82 ± 4.6 to 83.15 ± 7.6 mg GAE/g of the dry weight of extract, expressed as gallic acid equivalents. The total flavonoid concentrations were varied from 2.21 ± 7.34to 23.47 ± 4.87 mg CE/g, expressed as catechin equivalents. Antioxidant activity of extracts was expressed as the concentration of DPPH radical’s inhibition ranges from 1.2 ± 0.32 to 22.86 ± 3.71 mg AAE/ g. Conclusion: The 80% aqueous methanolic extract of Rhus vulgaris showed the highest phenolic and flavonoid contents and strong antioxidant potential and it could be used as antibiotics for different curable and incurable diseases.