bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Code Completion Model based RWKV with Bimodal Pretraining
Authors: Zhou Lu , Li Shenglin 
Published: October 2023

Abstract
Intelligent code completion has gained popularity as a technology that accelerates the modern software development process by learning vast amounts of code data and providing programming suggestions to developers. However, traditional RNN-based code completion models encounter issues related to their slow training speed, limited number of network layers, and high computational complexity. These concerns pose a significant challenge for these models transitioning toward big data and larger models, such as the transformer. Therefore, in this paper, we develop a new code completion model called RWKVCC for code comprehension and completion. The model utilizes the RWKV neural network architecture, which boasts faster training speeds, deeper network layers, and shorter transformed abstract syntax tree sequence lengths, resulting in improved expressiveness and performance compared to previous RNN-based code completion models. Experimental results demonstrate the superior code completion effect of RWKVCC, as measured by ACC, EM, and Edit Sim, compared to traditional RNN-based models.
Co-producing an online Patient Public Community Research Hub: a qualitative study exploring the perspectives of National Institute for Health Research (NIHR) Research Champions in England.
Authors: Hoverd Eleanor , Staniszewska Sophie , Dale Jeremy , Spencer Rachel , Devrell Anne , Khan Dena , Lamouline Carrol , Saleem Sanya , Smith Pam 
Published: October 2023

Abstract
Background
Patient and Public Involvement and Engagement (PPIE) should be embedded as part of researchers’ everyday practice. However, this can be challenging. Creating a digital presence for PPIE as part of Higher Education Institutes’ (HEIs) infrastructure may be one way of supporting this. This can support how information is made available to patients and members of the public, but relatively little is known about how HEIs can best do this. Our aim was to develop a university website for patients and members of the public to learn about ways to get actively involved in research and be able to access the results of health and social care research.
Methods
This project involved working as partners with five National Institute for Health and Care Research (NIHR) Research Champions. NIHR Research Champions are volunteers who raise awareness and share experiences about health and social care research. Content of a prototype Patient Public Community Research Hub website was co-produced with the Research Champions, and then 15 NIHR Research Champions from across England were asked for their views about the website.
Findings
The information collected told us that the Patient Public Community Research Hubwas viewed as being beneficial for increasing visibility of PPIE opportunities and sharing the findings of studies though needs further work: to make the information more user-friendly; to improve the methods for directing people to the site and to create new ways of connecting with people. It provides a foundation for further co-development and evaluation. A set of recommendations has been developed that may be of benefit to other HEI’s and organisations who are committed to working with patients and members of the public.
Multi-scale Self-attention Recursive Hierarchical Network Based on Improved Residual Conv-LSTM
Authors: Lv Xiang , Wang changzhong , Zhang Yang 
Published: October 2023

Abstract

Super-resolution Reconstruction (SR) refers to the process of obtaining high resolution (HR) images from low resolution (LR) images. In recent years, with the vigorous development of deep learning, SR technology has been more widely applied, especially those based on convolution neural network (CNN). Although some existing methods use multi-scale convolution for feature extraction, most of them improve network performance by deepening network depth, often ignoring the intrinsic correlation between different hierarchic features. As is known to all, the increase of network depth may lead to training difficulties, insufficient feature extraction, feature details loss and other problems, which seriously limit the applications of network models in practice. Based on this, this paper proposes a multi-scale self-attention recursive hierarchical network (M-SRHN) based on improved residual Conv-LSTM. The proposed network model can achieve good reconstruction performance without sacrificing too many resources. Specifically, a multiscale guided learning self-attentional residual block (MGSRB) is first designed. It has four dilated convolutions and an enhanced spatial self-attention mechanism (ESA). This block can adaptively recalibrate the response of feature space by explicitly modeling the interdependence between spaces. Then, an improved residual LSTM (IRC-LSTM) network is proposed to memorize the output features of MGSRB, which can effectively process and store the memorized feature information. Further, a deep pyramid hierarchical module (DPHB) is used to extract more effective hierarchical information, and multiple MGSRBs, IRC-LSTM and DPHB are stacked to form the main framework of our network. Finally, a recursive subpixel reconstruction network is used to reconstruct images. Compared with some state-of-the-art SR methods, the proposed method had better reconstruction performance.
Influence of Cuo Films Thickness on the Efficiency of Graphite/Cuo/Ni Solar Cells
Authors: Kuryshchuk Serhii I. , Andrushchak Galyna O. , Kovaliuk Taras T. , Mostovyi Andriy I. , Parkhomenko Hryhorii P. , Sahare Sanjay , Solovan Mykhailo M. , Brus Viktor V. 
Published: October 2023

Abstract
In this study, we investigated the potential of copper oxide (CuO) thin films as active layers in thin-film solar cells with a Glass/ITO/Graphite/CuO/Ni structure. Furthermore, the generation rate of charge carriers was derived by modeling the optical field distribution using a transfer metric simulation. Theoretical thresholds for photovoltaic device efficiency were determined for varying active layer thicknesses by employing a normalized light intensity equivalent to that of the AM1.5 spectrum. The current-voltage characteristics are modeled by semi-empirical methods, which illustrate that the photovoltaic conversion efficiency depends on the thickness of the active layer. The highest performance of the simulated structure of the solar cell was 25.2%, obtained for the 500 nm CuO films.
Influence of Varying Welding Parameters on Strength of MIG Welded Mild Steel Joints
Authors: Obura Washington Odhiambo , Mayaka Abel N. , Okumu Eng. Victoria 
Published: October 2023

Abstract
MIG welding is a type of arc welding that uses a continuous solid wire electrode and a shielding gas to join two metals by heating them with an electric arc. We studied process parameters including current, voltage, preheat temperature and post-weld heat treatment. We optimize process parameters of experiments done in previous work using a Taguchi Orthogonal Array (L27) design. A grey based Taguchi method is used to optimize the process parameters. The analysis of variance (ANOVA) is applied to assess the significance of the input parameters on the response parameters. A mathematical model is developed using multiple linear regression equations. Results of this research show that it is possible to get higher strengths of weld joints using Taguchi design. We also find that increasing current (I) and post-weld heat treatment temperature (PWT) increases strength of the studied welded joints, and vice versa. Future research should validate the findings of the current research through experimental investigations.
Above and Belowground Microbes Are Associated With Variation of the Leaf Metabolome; But Herbivory Has Nominal Effects
Authors: Barnes Christopher , Hilton Sally , Nielsen Ida Broman , Ahlstrand Natalie Iwanycki , Hansen Anders Johannes , Frøslev Tobias Guldberg , Rønsted Nina , Bending Gary D 
Published: October 2023

Abstract

Background Microbes are associated with nearly every plant surface and affect the host’s functioning. While many studies to date have investigated the composition of the plant microbiome and compared it with the plant’s metabolome (a measure of the host functioning), a holistic understanding which considers interactions both above and belowground is lacking. In this work, we hypothesise that soil is a reservoir for both root and leaf microbes, and that herbivory disrupts the regulation of the leaf microbial community. We further hypothesise that plant-associated microbial communities will correlate with the leaf metabolome, but the root microbiota will better correlate with the leaf metabolome than the leaf microbiota. To test these hypotheses, fungal and bacterial communities of herbivore-damaged and undamaged leaves, roots and the surrounding soil was characterised across 15Plantago majorpopulations sampled from across geographical and environmental gradients from Denmark. Microbial communities were then compared against untargeted and targeted (anti-herbivory/microbials) leaf metabolomic data. Results We found that the fungal communities showed significant inter-connectivity above and belowground, while bacteria were mainly specialised to each sample type. Herbivory had no effect on leaf microbiome or the metabolome. Fungal root endophytes (Glomeromycotina arbuscular mycorrhizal fungi) and leaf bacteria correlated most strongly with the overall leaf metabolome. However, there were specific pathogenic fungi found in the leaf associated with the abundance of specific metabolites. Conclusions In this study, demonstrate the complexity of plant metabolome-microbiome interactions, and the need to fully integrate the microbiome of different tissue types to fully understand plant’s secondary metabolome. The decreasing costs of -omics methods and high-performance computing costs has made it possible to perform multi-omic, multi-tissue approaches at large-scale, as in this work. It is therefore possible to identify novel plant-microbe interactions, even from plants sampled outside of controlled environments.
Causal Effect of vitamin D on ovarian reserve function: a Mendelian randomization study
Authors: Xu Dinglin , Zhang Jianwei 
Published: October 2023

Abstract
Background 25-Hydroxyvitamin D (25(OH)D) can improve the ovarian reserve function of women; however, whether this association is causative is uncertain. Methods We performed a two-sample bidirectional Mendelian randomization (MR) analysis using publicly released genome-wide association studies (GWAS) statistics. Eligible instrumental variables (IVs) were selected according to the five assumptions of MR analysis. The inverse-variance weighted (IVW) method was the main method. Complementary methods included the MR-Egger regression, the Weighted Median, the Simple Mode and the Weighted Mode. The exposure factor was 25(OH)D，and the outcome variable was Anti-mullerian hormone (AMH) 、 Follicle-stimulating hormone (FSH) 、 Luteinizing hormone (LH) and Estradiol (E2).The heterogeneity test and pleiotropic analysis were also carried out. Results Using the IVW method, results of the MR analysis showed that there was no causal association between 25(OH)D with AMH (OR = 0.978, 95%CI: 0.850-1.126 ,P = 0.758,SE=0.072) 、 FSH(OR =1.101, 95%CI: 0.797-1.208,P = 0.859,SE=0.106)、LH (OR =1.004, 95%CI: 0.753-1.339 ,P = 0.977,SE=0.147) and E2(OR = 0.903, 95%CI: 0.985-1.230 ,P 0.091,SE=0.057).In addition, the MR-Egger, the Weighted Median, the Simple Mode and the Weighted Mode methods showed consistent results. These results were confirmed to be reliable and stable by sensitivity analysis. Conclusions We found no evidence that 25(OH)D was causally associated with the ovarian reserve function of women
Crocetin: A Promising Adjunctive Therapy Enhancing Temozolomide Efficacy in Malignant Glioblastoma through Suppression of AKT, ERK, and p38 Signaling Pathways
Authors: Tsai Wei-En , Liu Yen-Tsen , Kuo Fu-Hsuan , Cheng Wen-Yu , Shen Chiung-Chyi , Chiao Ming-Tsang , Hung Yu-Fen , Liang Yea-Jiuen , Yang Yi-Chin , Hsieh Wan-Yu , Chen Jun-Peng , Liu Szu-Yuan 
Published: October 2023

Abstract
Background
Glioblastoma multiforme (GBM) is an aggressive brain tumor known for its invasive nature, presenting challenges in surgical resection. Crocetin and crocin, derived from saffron, exhibit potential as natural biomedicines, demonstrating cytotoxic and anticancer effects.
Methods and results
Although research on crocetin in glioma is limited, our study focused on its impact using the U87 cell line. Crocetin effectively suppressed glioma cell viability, proliferation, colony formation, migration, and invasion at concentrations of 75–150 µM. Mechanistically, it downregulated MMP-9 and RhoA mRNA expression, leading to reduced MMP-9 levels and inhibited F-actin polymerization. Additionally, crocetin dose-dependently inhibited AKT phosphorylation at Thr308 and Ser473, suppressing the AKT signaling pathway. Crocetin treatment significantly increased the subG1 and S-phase populations of U87 cells. Combined with TMZ, crocetin synergistically enhanced growth inhibition, potentially through increased apoptosis and suppressed cell replication. Co-treatment of crocetin with TMZ also reduced HMGB1 expression and concurrently decreased RAGE expression. Moreover, crocetin selectively inhibited ERK and p38 phosphorylation in the MAPK signaling pathway while leaving the JNK pathway unaffected.
Conclusion
In conclusion, our findings highlight crocetin's therapeutic potential for glioma treatment. It effectively targets multiple cellular processes involved in glioma progression by modulating MMP-9, RhoA, AKT, and HMGB1. Further research is needed to fully exploit crocetin's therapeutic benefits in glioma treatment.
Trends in fruit and vegetables consumption among Malaysian adults, 2006-2019
Authors: Kee Chee Cheong , Tan Lay Kim , Ghazali Sumarni Mohd , Cheah Yong Kang , Lim Hui Li , Omar Mohd Azahadi 
Published: October 2023

Abstract

Background
Inadequate fruit and vegetables consumption is linked to cardiovascular diseases, type 2 diabetes, certain types of cancers, obesity and all-cause mortality. Although the Malaysian Dietary Guidelines 2020 recommended the consumption of at least two servings of fruit and three servings of vegetables daily in the adults, data from several National Health & Morbidity Survey among the Malaysian adults showed remarkedly low prevalence of adequate fruit and vegetables consumption. We aimed to determine the trend in fruit and vegetables consumption among the Malaysian adults between 2006 and 2019.
Methods
We analysed data from five nationally representative, cross-sectional national surveys, namely the Malaysian Non-Communicable Disease Surveillance 2006 (MyNCDS-1), the National Health & Morbidity Survey [NHMS] 2011, the NHMS 2014, NHMS 2015 and NHMS 2019 in this study. We assessed time and sociodemographic (age, sex, ethnicity and household income) trends in prevalence of adequate fruit and vegetables consumption between 2006 and 2019 among Malaysian adults.
Results
We observed a significant downward trend in the prevalence of adequate fruit and vegetables consumption among the Malaysian adults between 2006 and 2019 with each successive survey (3.9%, 4.1%, 1.1%, 2.9% and 2.3%, respectively) (Ptrend<0.001). The prevalence of adequate fruit and vegetables consumption increased significantly with household income and age.
Conclusion
Our data showed a declining trend in fruit and vegetables consumption among Malaysian adults over the 13-year period, suggesting a need for a continuous effort to strengthen the existing healthy eating campaigns. This will not only increase the public awareness about the importance of adequate fruit and vegetables consumption to maintain an optimal health, but also aid in the effort to reverse the declining trend.
Cornulin (CRNN) Contributes to the Development of Cutaneous squamous cell carcinoma via Activation of AKT in SCL-1
Authors: Li Changji , Yang Peiwen , Wang Xin , Li Hongbao , Jing Huiling , Zheng Yan , Hou Yuzhu 
Published: October 2023

Abstract
Cutaneous squamous cell carcinoma (cSCC) is one of the common malignant skin tumors with increasing incidence in recent years, especially in the elderly. There is growing evidence that cornulin (CRNN), as an oncogene, participates in the pathogenesis of various tumors, but its role in cSCC is still unclear. Here, we found that the expression of CRNN was significantly upregulated in cSCC samples compared with normal skin. Downregulation of CRNN expression in cSCC cell line SCL-1 induced growth arrest during the G1/S transition, inhibited cell proliferation, promoted cell apoptosis, and decreased cell invasion and migration. In contrast, overexpression of CRNN promoted cell proliferation and protected cells from basal apoptosis, and these oncogenic effects of CRNN were associated with activation of AKT. Using a mouse xenograft model, we demonstrated that depletion of CRNN suppressed in vivo cSCC tumor growth. These results suggest that CRNN is involved in the occurrence and development of cSCC. Our study provides a the foothold for further evaluating the therapeutic efficacy of CRNN on cSCC.
Intergenerational educational mobility and the COVID-19 pandemic
Authors: Adamecz Anna , Jiang Yuyan , Shure Nikki , Wyness Gill 
Published: October 2023

Abstract
We examine the differential impact of the COVID-19 pandemic on the labour market outcomes of graduate workers by their family background. Specifically, we compare first in family (FiF) graduates, young people who obtained a university degree even though their parents did not, with their graduate peers whose parents have university degrees. We compare their labour market outcomes using multiple waves of data collected during the pandemic, which are linked to an existing longitudinal study and administrative data. Our results reveal substantial differences in the outcomes of graduates who stopped working, and these differences are heterogenous by gender. Female FiF graduates were more likely to stop working altogether or to be put on an unpaid leave and less likely to be put on furlough or paid leave than non-FiF female graduates. However, we find no such differences between FiF and non-FiF male graduates. Our results highlight how the COVID-19 recession has exacerbated the disadvantage arising from the intersectionality of socioeconomic background and gender and the prolonged impact of parental human capital for women.
JEL Classification Codes I24, J24
Predicting Recurrent Chat Contact in a Low-Threshold Psychological Intervention for Children and Young Adults: A Natural Language Processing Approach
Authors: Hornstein Silvan , Scharfenberger Jonas , Lueken Ulrike , Wundrack Richard , Hilbert Kevin 
Published: October 2023

Abstract

Chat-based counseling hotlines emerged as a promising low-threshold intervention for youth mental health. However, despite the resulting availability of large text corpora, little work has investigated Natural Language Processing (NLP) applications within this setting. Therefore, this preregistered approach (OSF: XA4PN) utilizes a sample of approximately 19,000 children and young adults that received a chat consultation from a 24/7 crisis service in Germany. Around 800,000 messages were used to predict whether chatters would contact the service again, as this would allow the provision of or redirection to additional treatment. We trained an XGBoost Classifier on the words of the anonymized conversations, using repeated cross validation and bayesian optimization for hyperparameter search. The best model was able to achieve an AUROC score of 0.68 (p < .01) on the previously unseen 3,942 newest consultations. A shapely-based explainability approach revealed that words indicating younger age or female gender and terms related to self harm and suicidal thoughts were associated with higher chance of recontacting. We conclude that NLP-based predictions of recurrent contact are a promising path towards personalized care at chat hotlines.
Modeling of electromagnetic influences of multi-wire traction networks for pipelines
Authors: Suslov K. V. , Kryukov A. V. , Ilyushin P. V. , Cherepanov A. V. , Kryukov A. E. 
Published: October 2023

In this work, digital models for determining the electromagnetic inﬂuences of multi-wire traction networks on pipelines are developed. When developing models, an approach based on multiphase behaviour simulation of electric power systems was used. This approach adequately addresses all the inﬂuencing factors, which include modules and phases of currents ﬂowing through the overhead contact wire suspension, 6–10–25 kV power transmission lines laid on the supports of the overhead line, and lines of rails. In addition, it is possible to take into account similar parameters for stresses at the nodal points of a multi-wire system. Among the key factors are the railway clearance when laying pipes parallel to the railway track, railway clearance trajectory in the presence of non-parallel sections, and the electrical characteristics of the soil along the clearance route. The research results demonstrated that a 25 kV electromagnetically unbalanced traction network exerts signiﬁcant inﬂuence on a pipeline running in parallel. It was shown that the maximum induced voltages at speciﬁc points along the pipe fall within the range of 300–700 V, which signiﬁcantly exceeds the permissible level of 60 V. It was revealed that currents exceeding 20 A ﬂowing through the pipe can have an adverse effect on anticorrosive protection devices. To mitigate electromagnetic impacts on the pipeline, the following measures are recommended: reducing the length of pipeline and railway clearance sections, increasing the gap between the traction network and the pipe, and installing an additional grounding source. The pipe can be connected to the supplementary grounding source through ﬁlters tuned to a frequency of 50 Hz, which involve capacitor units to prevent malfunctions during the operation of pipeline protection devices. Thus, the developed digital models allow the induced voltages generated by multi-wire traction networks and the currents ﬂowing through the pipes to be adequately determined. These models offer an informed choice of measures that ensure the safety of pipeline maintenance.
Aulas multigrado: Ventajas, dificultades y propuestas de mejora manifestadas por el profesorado de Galicia-España
Authors: Fernández-Morante Carmen , Figueiras Martínez Baltasar , Cebreiro Beatriz , Casal-Otero Lorena 
Published: October 2023

Las aulas multigrado ofrecen numerosos beneficios y posibilidades educativas, y no sólo en los entornos rurales. Sin embargo, son muchas las dificultades con las que se encuentra el profesorado de este tipo de aulas; entre otras, la falta de formación especializada o el insuficiente apoyo de la administración. El propósito de esta investigación es conocer la percepción del profesorado de las aulas multigrado de Galicia (España) respecto a las posibilidades de la multigraduación, las limitaciones y las propuestas de mejora necesarias para la optimización de este modelo educativo. Los resultados evidencian que la realidad educativa donde un porcentaje importante de la población escolar está atendida en aulas multigrado requiere medidas específicas que ayuden a los desafíos de esta tipología de aulas. Consecuentemente, es necesario el apoyo de la administración educativa y la consideración de la multigraduación no sólo como una estrategia que evita el cierre de las escuelas rurales, sino como modelo de innovación. Urge hacer una apuesta que provoque una revalorización de este tipo de aulas.