bluuebunny/crossref_metadata_2025_split huggingface dataset:
Development of a safety education program using simulator fire extinguishers in Korea: Focusing on elementary school students
Authors: Jang Deok-Jin , Kong Ha-Sung 
Published: April 2023

Safety education aims to promote safe habits through experience-oriented education that combines knowledge, skills and attitudes. However, in situations where experience-oriented safety education is challenging, realistic content created through technological advancements can indirectly function as an excellent safety education tool that allows for individual safety experiences. This study conducted a safety education program for 34 elementary school students using the most commonly used realistic safety education content in Korea, the 'simulator fire extinguisher,' four times. Safety knowledge tests and safety problem-solving ability tests were used as measuring tools and statistical significance was verified through paired sample t-tests. This study demonstrated that the safety education program using the 'simulator fire extinguisher' was effective in improving safety knowledge and problem-solving abilities . The average score of elementary school students increased from 8.47 to 9.23 in safety knowledge tests and from 4.26 to 4.64 in safety problem-solving ability tests. These results were statistically significant (p < 0.001).
The Mediating Effect of Sleep Quality and Burnout Toward Work Engagement among Healthcare Worker
Authors: Darydzaky Ahmad Naufal , Desiana Putri Mega 
Published: April 2023

Objective: This study examines the interrelationship among job stress, work engagement, sleep quality, and burnout on JD-R Model. Moreover, this study also analyzes the mediating effect of sleep quality and burnout, which is usually a dependent variable.
Methods: This study was conducted on 236 healthcare workers from various hospitals in Indonesia. The data were collected from an online survey using a 4-Point Likert scale, which was analyzed using Lisrel 8.80 through Structural Equation Modelling (SEM).
Findings: The results show that job stress is positively associated with work engagement and burnout. Sleep quality mediates job stress toward work engagement and burnout. Burnout mediates the relationship between job stress and sleep quality. This study also found that job stress was not associated with sleep quality.
Originality/Value: Many studies are competing to understand the emergence and process of burnout and work engagement. This research is heading in a different direction and focuses on exploring and analyzing the variables of burnout, job stress, sleep quality, and work engagement and their interrelationship.
Practical/Policy implication: Given the results, this study recommends that healthcare workers be aware of their oath and live a healthy lifestyle. In addition, health institutions could conduct a job analysis and create HR policies that imply productivity and fairness.
The Mediation Role of Review Helpfulness, Customers Trust, and Brand Attitude Towards Positive e-WOM and Purchase Intention in Cosmetic Shopping Experience
Authors: Anggraini Lulu Puspita , Sobari Nurdin 
Published: April 2023

Objective: This study aims to examine the effectiveness of positive electronic word of mouth (e-WOM) in influencing the purchase intention of the cosmetic retailer and the role of review helpfulness, customers' trust in e-WOM, and the role of brand attitude as a mediator in the relationship.
Design/Methods/Approach: This study adopts descriptive quantitative research methods. The populations are women who frequently buy cosmetic products and are selected using non-probability and purposive sampling techniques. The data collection used an online survey with 155 respondents. Afterward, Partial Least Square–Structural Equation Modeling (PLS-SEM) was used to test the hypotheses.
Findings: Findings indicate that positive e-WOM has a positive and significant effect on review helpfulness. Review helpfulness also positively and significantly affects customers' trust in e-WOM and brand attitude. This study also found that customers' trust in e-WOM and brand attitude positively and significantly affected purchase intention. In addition, this study also found that review helpfulness has a positive and insignificant effect on purchase intention. Moreover, results suggest that review helpfulness, customers' trust in e-WOM, and brand attitude positively and significantly mediate the effect of positive e-WOM on purchase intention.
Originality: This study contributes to the marketing literature by using the positive e-WOM variable to see its effect on review helpfulness, customers' trust in e-WOM, brand attitude, and purchase intention in the cosmetic retailing context.
Practical/Policy Implications: Given that positive e-WOM improves customers' purchase intention through review helpfulness, trust in e-WOM, and brand attitude, cosmetic retailers are recommended to encourage their customers to post a review on the retailers' websites or applications. In addition, Cosmetic retailers also recommend displaying the customers' reviews. Hence, the reviews may help other customers know about the products before buying.
De novo peptides that induce the liquid-liquid phase separation of α-synuclein
Authors: Ikenoue Tatsuya , So Masatomo , Terasaka Naohiro , Huang Wei-En , Kawata Yasushi , Miyanoiri Yohei , Suga Hiroaki 
Published: April 2023

Abstract
Liquid-liquid phase separation (LLPS) of protein that leads to formation of membrane-less organelles is a critical event to many processes in the cell. Recently, some disease-related proteins, such as α-synuclein (αSyn), were found to undergo LLPS before their formation of amyloid fibrils. However, the progress towards controlling LLPS has been limited, and there has been no emerging engineered de novo molecules to induce and modulate the LLPS of targeted proteins. Here we report peptides that efficiently induce the LLPS of αSyn, discovered by the RaPID (random non-standard peptides integrated discovery) system. These peptides are able to co-localize with αSyn in liquid droplets via heterotypic interacting with the N- and C-terminal regions of αSyn. Our study demonstrates the capacity of target-specific peptides to control LLPS and modulate the physical nature of condensate. Thus, these peptides could be a unique tool to gain deeper insights in the LLPS-mediated amyloid formation.
A few-shot fault diagnosis method for aircraft engine casing
Authors: Xie Yining , Liu Xiu , Chen Hongzhan , Wang Zexin , He Yongjun , Yang Kaihua 
Published: April 2023

Abstract
In recent years, the label monitoring data collected from aeroengine accessory casing system are limited, and there are differences between the training data domain and the target data domain in practical application, which leads to the degradation of the model diagnosis performance. To solve the above problems, a few-shot fault diagnosis method based on meta-learning is proposed in this paper. Firstly, the original signal is converted into time-frequency image, and the multi-channel time-frequency image is fused as the input of the network model. Secondly, an autoencoder is trained using the source data domain, and the encoder is used as the feature extraction network. Thirdly, the extracted sample features are taken as nodes, and the distance between features is taken as edge weight, and the graphs are constructed for the known samples and unknown samples. Finally, the meta-task-based graph learning method is used to learn the distribution rules of edge weights of graph nodes, and the label information of the known samples in the task is propagated to the unknown samples. The experimental results show that the proposed method outperforms the traditional small-sample fault diagnosis methods on both public datasets and aircraft engine casing datasets.
Document identification code: A Chinese graphic classification number: TP315.69
COVID-19 adaptations to a training and support programme to improve primary care response to domestic abuse: a mixed methods rapid study
Authors: Downes Lucy , Barbosa Estela Capelas 
Published: April 2023

Abstract
Background
Increased incidence and/or reporting of domestic abuse (DA) accompanied the COVID-19 pandemic. National lockdowns and enforced social isolation necessitated new ways of supporting victims of DA remotely. Identification and Referral to Improve Safety (IRIS) is a training and support programme to improve the response to domestic abuse in general practice, which has previously been proven effective and cost-effective. The COVID-19 pandemic required the adaptation of the programme to remote training and support.
Methods
This study is a mixed methods rapid research, which aimed to gather evidence around the relevance, desirability and acceptability of IRIS operating remotely. Quantitative IRIS referral data were triangulated with data from four surveys and 15 interviews. Participants were local IRIS teams, IRIS-trained clinicians, and victim-survivors supported by IRIS services. The study was designed using the Lean Impact approach, allowing quick evaluation of innovation and the impact of social interventions. We carried out a Framework analysis of the interviews.
Results
We found that the adaptation to online training and support of IRIS was acceptable and desirable. Most clinicians feel confident addressing DA over the phone and online, although most were more confident face-to-face. While referrals to IRIS services initially declined in March 2020, numbers of referrals increased to pre-pandemic levels by July 2020. Patients felt well supported remotely, although patients who had previously experienced face-to-face support preferred it. Technology was the most frequently mentioned barrier to the change from face-to-face training and support to online training and remote support.
Conclusions
This study contributes to practice by asserting the desirability and acceptability of training clinicians to be able to identify, ask about DA and refer to the IRIS programme during telephone/online consultations. This is of relevance to health and public health commissioners when making commissioning decisions to improve the general practice response to domestic abuse.
Biomes of the world under climate change scenarios: increasing aridity and higher temperatures lead to significant shifts in natural vegetation
Authors: Bonannella Carmelo , Hengl Tomislav , Parente Leandro , de Bruin Sytze 
Published: April 2023

Abstract
The global potential distribution of biomes (natural vegetation) was modelled using 8959 training points from the BIOME 6000 dataset and a stack of 72 environmental covariates representing terrain and the current climatic conditions based on historical long term averages (1979–2013). An ensemble machine learning model based on stacked regularization was used, with multinomial logistic regression as the meta-learner and spatial blocking (100 km) to deal with spatial autocorrelation of the training points. Results of spatial cross-validation for the BIOME 6000 classes show an overall accuracy of 0.67 and R2logloss of 0.61, with ”tropical evergreen broadleaf forest” being the class with highest gain in predictive performances (R2logloss = 0.74) and ”prostrate dwarf shrub tundra” the class with the lowest (R2logloss = -0.09) compared to the baseline. Temperature-related covariates were the most important predictors, with the mean diurnal range (BIO2) being shared by all the base-learners (i.e. random forest, gradient boosted trees and generalized linear models). The model was next used to predict the distribution of future biomes for the periods 2040–2060 and 2061–2080 under three climate change scenarios (RCP 2.6, 4.5 and 8.5). Comparisons of predictions for the three epochs (present, 2040–2060 and 2061–2080) show that increasing aridity and higher temperatures will likely result in significant shifts in natural vegetation in the tropical area (shifts from tropical forests to savannas up to 1.7 × 105 km2 by 2080) and around the Arctic Circle (shifts from tundra to boreal forests up to 2.4 × 105 km2 by 2080). Projected global maps at 1 km spatial resolution are provided as probability and hard classes maps for BIOME 6000 classes and as hard classes maps for the IUCN classes (6 aggregated classes). Uncertainty maps (prediction error) are also provided and should be used for careful interpretation of the future projections.
Effects of fuel Lewis number on wall heat transfer during oblique flame-wall interaction of premixed flames within turbulent boundary layers
Authors: Ghai Sanjeev , Chakraborty Nilanjan , Ahmed Umair 
Published: April 2023

Abstract
The influence of fuel Lewis number LeF on the statistical behaviour of wall heat flux and flame quenching distance have been analysed using Direct Numerical Simulation (DNS) data for the turbulent V-shaped flame-wall interaction in a channel flow configuration corresponding to a friction velocity-based Reynolds number of 110 for fuel Lewis number, LeF, ranging from 0.6 to 1.4. It has been found that the maximum wall heat flux magnitude in turbulent V-shaped flame-wall interaction increases with decreasing LeF but just the opposite trend was observed for 2D laminar V-shaped flame-wall interaction and 1D laminar head-on quenching cases. This behaviour has been explained in terms of the correlation of temperature and fuel reaction rate magnitude with local flame surface curvature for turbulent flames due to the thermo-diffusive effects induced by the non-unity Lewis number. The wall heat flux magnitude and wall shear stress magnitude are found to be negatively correlated for all cases considered here. Moreover, their mean variations in the streamwise direction are qualitatively different irrespective of LeF, although the magnitudes of wall heat flux and wall shear stress increase with decreasing LeF. Furthermore, the flame alignment relative to the wall also affects the wall heat flux and it has been found that local occurrences of head-on quenching can lead to higher magnitudes of wall heat flux magnitude. It has been found that LeF also affects the evolution of the flame quenching distance in the streamwise direction with the progress of flame quenching for different flame normal orientations with respect to the wall. This analysis shows that the effects of fuel Lewis number on flame orientation, correlations of reaction rate and temperature with local flame curvature and coherent flow structures within turbulent boundary layer ultimately affect the wall heat transfer and flame quenching distance. Thus, the thermo-diffusive effects arising from the non-unity Lewis number need to be taken into account for accurate modelling of wall heat transfer during flame-wall interaction in turbulent boundary layers.
Assessment of Heavy Metals at Mangrove Ecosystem, Applying Multiple Approaches using in-situ and Remote Sensing Techniques, Red Sea, Egypt
Authors: Mohammed Asmaa H. , Khalifa Ahmed M. , Mohamed Hagar M. , El-Wahid Kareem H. Abd , Hanafy Mahmoud H. 
Published: April 2023

Abstract
Heavy metal pollution is one of the threats that impact on Mangrove ecosystem. This study aims to examine if the heavy metals in the mangrove sediment contamination status along the Red Sea coast, and give an interpretation of the origin of these metals. Twenty-two samples were collected and then, analyzed for metals (Mn, Ni, Cu, Fe, Cd, Ag, and Pb) using Inductively Coupled Plasma Mass Spectroscopy (ICP-MS). Integration between the in-situ data, contamination indices, and remote sensing and geographical information science (GIS), and multivariate statistical analysis techniques (PCA) to assess and clarify the spatial origin of heavy metals in sediment at a regional scale. The average concentration is shown to be substantially lower than the referenced value. The heavy metals are naturally origin not anthropogenic origin and, ranging from moderate to significant except the levels of Ag were very high. According to Ag levels, should be exploited economically. Remote sensing and GIS technique successfully contributed to interpreting the pattern of the origin of heavy metals and discharging systems along the red sea coast.
MAPK domain inhibition: Validation of the anti-angiogenic effects of curcumin from Curcuma longa in NDEA model of liver carcinoma in Wistar rats
Authors: Onifade Olayinka Fisayo , Akinloye Oluseyi Adeboye , Dosumu Oluwatosin A. , Lateef Abdul , Amoo Olufemi Samuel , Omotuyi Idowu Olaposi , Alade Adebowale Abiodun. 
Published: April 2023

Abstract
Objectives This study employed MAPK domain inhibition as an anti-angiogenic scaffold and further validate the anti-angiogenic effects of the lead phytochemicals, curcumin from ethanolic extract of curcuma longa (EECL) in N-nitrosodiethylamine (NDEA) model of liver cancer in Wistar rats.Methods One hundred and twenty Wistar rats comprising of sixty male and female rats were randomly selected into twelve groups (n = 5): group A (100 mg/kg NDEA + 200 mg/kg EECL), group B (100 mg/kg NDEA + 400 mg/kg EECL), group C (100 mg/kg NDEA + 600 mg/kg EECL), group D (100 mg/kg NDEA + 200 mg/kg pure curcumin), group E (100 mg/kg NDEA + 100 mg/kg sylibon 140), group F (100 mg/kg NDEA), group G (200 mg/kg pure curcumin), group H (100 mg/kg DMSO), group I (200 mg/kg EECL), group J (400 mg/kg EECL), group K (600 mg/kg EECL), group L (control) at the end of 42 days of the experiment period. The lead phytochemicals, curcumin from EECL were isolated and subjected to Gas Chromatography-Mass Spectrometry for characterization. The anti-angiogenic potentials of the curcumin isolates were validated through molecular docking and the expression of antiangiogenic related mRNA.Results The binding of Co-crystallized, curcumin and cis-sesquisabinene hydrate, to the binding site led to the conformation with binding energies of -15.15 kcal/mol, -7.212 kcal/mol, and − 6.361 kcal/mol respectively. Treatment with 200 mg/kg and 400 mg/kg significantly (p < 0.05) downregulated the expression of MAPK and Vascular endothelial growth factor mRNAs in the hepatocyte tumour, while the Alpha Fero Protein and Interleukin-10 mRNA was significantly (p < 0.05) upregulated.Conclusion Ethanolic extract of Curcumin longa possessed anti-angiogenic and anti-proliferating prospective against MAPK domain inhibition.
NRBP1 Promotes the Malignant Phenotypes of Glioblastoma by Regulating PI3K/Akt Activation
Authors: Zhang Anli , Peng Shichao , Sun Sibai , Ye Shan , Zhao Ye , Wu Qiang 
Published: April 2023

Abstract
Glioblastomas (GBMs) are intracranial gliomas with the highest aggressiveness. Despite maximal treatment intervention, GBM patients’ median survival duration remains at approximately 14–16 months. Nuclear receptor-binding protein 1 (NRBP1) could stimulate the growth of cells. In this study, we investigated whether NRBP1 promotes malignant glioblastoma phenotypes and its potential mechanisms. High NRBP1 expression correlated with higher-grade glioma and shorter duration of overall and disease-free survival. NRBP1 knockdown via short hairpin RNAs caused suppression of cell proliferation, invasion, migration and triggered apoptotic cell death in vitro, whereas its overexpression, through plasmid transfection, showed the opposite effect. GO enrichment and KEGG analysis revealed that NRBP1 regulated differentially expressed gene clusters involved in the PI3K/Akt signaling pathway. Additionally, NRBP1 regulated epithelial–mesenchymal transition mediated by this pathway. Moreover, MK-2206 and SC79, which are respectively an inhibitor and an activator of PI3K/Akt signaling, reversed the effect of NRBP1 knockdown and overexpression on GBM, respectively. Thus, NRBP1 promotes malignant phenotypes in GBM by activating the PI3K/Akt pathway, thereby serving as a prognostic indicator and new target for GBM treatment.
Origin, impacts and potential solutions to the fragmentation of the Mexican health system: A consultation to key actors
Authors: Gómez-Dantés Octavio , Flamand Laura , Cerecero-García Diego , Morales-Vazquez Mariana , Serván-Mori Edson 
Published: April 2023

Abstract
Background. One of the central debates in health policy is related to the fragmentation of health systems. Fragmentation is perceived as a major obstacle to UHC. This article presents the results of a consultation to a group of actors of the Mexican policy arena on the origins and impacts of the fragmentation of the Mexican health system.Methods. We used a consultation to nine key actors to collect thoughts on the fragmentation of the Mexican health system. The group included national and local decision makers with experience in health care issues and researchers with background in health systems and/or public policies. The sessions were recorded, transcribed verbatim and analyzed thematically.Results. Participants defined the term ‘fragmentation’ as the separation of the various groups of the population based on characteristics which define their access to healthcare services. This is a core characteristic of health systems in Latin America. In general, those affiliated to social security institutions have a higher per capita expenditure than those without social security, which translate into differential health benefits. According to the actors in this consultation, fragmentation is the main structural problem of the Mexican health system. Actors agreed that the best way to end fragmentation is through the creation of a universal health system. De-fragmentation plans should include a research component to document the impacts of fragmentation, and design and test the instruments needed for the integration process.Conclusions. First, health system fragmentation in Mexico has created problems of equity since different population groups have unequal access to public resources and different health benefits. Second, Mexico needs to move beyond the fragmentation of its health system and guarantee, through its financial integration, access to the same package of health services to all its citizens. Third, de-fragmentation plans should include a research component to document the impacts of fragmentation, and design and test the instruments needed for the integration process. Fourth, de-fragmentation of health systems is not an easy task because there are vested interests that oppose its implementation. Political strategies to meet the resistance of these groups are an essential component of any de-fragmentation plan.