bluuebunny/crossref_metadata_2025_split huggingface dataset:
Reliability and validity of the Chinese version of the Oxford Positive Self Scale in Chinese Nursing Undergraduates
Authors: tang wenlong , wang weiwei , zhong gaoxiang , wei zhidan , ding zhangyi , zhang qianya , lu sun , mao rong , li yuanzhen , cui huixia 
Published: October 2024

Abstract

Background According to the recent report of the China National Mental Health Survey, young Chinese people are a high-risk group for depression among the entire adult population, and the detection rate of depression risk in Chinese individuals aged 18–24 years is as high as 24.1%, which is significantly higher than that of other age groups. Hence, it is essential to study the mental health of the Chinese youth population. People with a positive self-mindset tend to have a higher sense of self-efficacy, and when these people encounter adversities and face challenges in their lives, they are more active in finding approaches and mobilizing resources to combat them. Currently, most research studies on the positive self-concept in Chinese people have focused on the users of social media networks, and there is a lack of research on the positive self-concept level in the general population. Although individual self-concept scales, mainly the Adversity Beliefs Scale and the Self-Concept Scale, have been used in previous research, these scales do not directly measure an individual’s beliefs about the positive self-concept. Therefore, in the present study, the Oxford Positive Self Scale (OxPos) was translated into Chinese, and the psychometric properties of the Chinese version were assessed in nursing undergraduates as the research subjects.Method This study was conducted from April 2024 to August 2024 by recruiting undergraduate nursing students from freshman year to junior year of an undergraduate college. A total of 514 valid questionnaires were collected. The Chinese translation process of the OxPos, including both forward and backward translations, strictly adhered to the Brislin’s model and was followed by necessary modifications. Item analyses were performed using critical ratios and item-total correlation coefficients. Validity assessments included content validity, structural validity, and validity scale correlation validity. Scale reliability was determined by Cronbach’s alpha coefficient, retest reliability, and split-half reliability coefficient.Results The Chinese OxPos version included 24 entries in 4 dimensions with a cumulative variance contribution rate of 87.27%. The content validity index of the scale for this survey was 0.875. Exploratory factor analysis showed that the Chinese OxPos version was consistent with the dimensional division of the original scale. The validation factor analysis showed a satisfactory fit index. The Cronbach’s alpha coefficient, re-test reliability, and split-half reliability coefficient of the Chinese OxPos version were 0.935, 0.978, and 0.845, respectively.Conclusion After a rigorous process of adaptation to the Chinese context, the Chinese version of OxPos showed good psychometric properties. The scale proved helpful as a research tool for assessing the positive self-concept level in the Chinese cultural context.
The significant impact of hot isostatic pressing on the corrosion behaviour of Ti-6Al-4V alloy prepared by electron beam powder bed fusion
Authors: Zheng Hongyu , Bai Yun , Hou Wentao , Zhai Zirong , Zhang Lai-Chang , Li Shujun , Yang Rui 
Published: October 2024

Abstract

This work investigated the effect of hot isostatic pressing (HIP) on the corrosion behavior of Ti-6Al-4V samples prepared by electron beam powder bed fusion (EB-PBF). After the HIP treatment, the TiO2 content decreased but the growth rate of passivation films increased, leading to increase in internal defect density, thereby degrading the corrosion resistance. Amongst the different factors impacted by HIP including pore defects, β-phase, texture and morphology of α-phase, the morphology of α-phase played a dominant role in determining the corrosion performance of EB-PBF processed alloy.
Histone H4K16 Acetylation Modification regulated autophagy and apoptosis in PC12 cells injured by OGD
Authors: Lin Jie-Min , Li Kun-Hui , Zhou Lin-Quan , Chen De-Hui , Zhao Xin , Li Wen-wen , Liu Wenge 
Published: October 2024

Abstract

Background
Autophagy maintains the homeostasis of the internal environment by clearing misfolded proteins and damaged organelles, which can reduce neuronal apoptosis in the early stage of spinal cord injury (SCI) and promote neural function recovery. Previous studies have shown that decreased acetylation modification of histone H4 lysine16 acetylation (H4K16ac) induces the expression of downstream autophagy genes. However, the role of H4K16 acetylation modification and its impact on autophagy and apoptosis in the early stage of SCI remains unclear. This study aimed to determine the relationship between H4K16ac and autophagy, apoptosis in the early stage of SCI, and the effects of regulating H4K16ac on autophagy and apoptosis.
Methods
In this study, the state of nerve cells after spinal cord injury was simulated by PC12 cells injured by OGD, and the content of histone H4K16 was interfered to investigate the effects of autophagy and apoptosis of nerve cells.
Results
The results indicate that promoting H4K16 acetylation levels significantly increases neuronal damage, and is associated with the inhibition of early autophagy and promotion of apoptosis.
Conclusion
These findings suggest that histone H4K16ac may provide a new therapeutic target for treating neuronal damage after SCI.
Rhizosphere secondary metabolites quinolones and benzoxazinoid alleviate continuous cropping obstacles of strawberry
Authors: Cai Bingbing , Xue Zhanjun , Yang Lina , Liu Yike , Xu Zihan , Li Qingyun 
Published: October 2024

Abstract

Alterations to the rhizosphere microenvironment following the continuous cropping of strawberry can result in substantial declines in yield and quality. Plant rhizosphere produces a wide variety of secondary metabolites, which play important roles in regulating plant growth and development. According to the chemical structure and biosynthesis pathways, secondary metabolites can be devided into different groups, and some of these metabolites have been demonstrated to hold ecological significance and responsing to biotic and abiotic stresses. But how this type of feedback affects plant growth is unknown. In this research, strawberry cultivar ‘Santa’ under continuous cropping for 10 years at different cultivation media were used. We assessed the pH value and conductivity of medium solution, dry weight of roots and analyzed the secondery metabolites using ultra performance liquid chromatography (UPLC). After adding cow dung, we detected a significant lower conductivity of medium solution. In addition, after adding goat manure, we detected a significant heigher dry weight of roots. A total of 736 metabolites from 11 classes were detected across all samples. The 20 most significant differentially accumulated metabolites with variable importance in projection scores greater than 1 in each treatment included 17 terpenoids, 5 organic acids, 5 nucleotides and derivatives, 4 lipids, 2 alkaloids, 2 flavonoids, 1 phenolic acid, and 4 others. Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis revealed that these metabolites were significantly enriched in the following pathways: metabolic pathways, nucleotide metabolism, and biosynthesis of secondary metabolites. Statistical approach showed that the rhizosphere secondary metabolites quinolones and benzoxazinoid were two key compounds that alleviate continuous cropping obstacles of strawberry. If this phenomenon holds true across different soils and environments, this strategy could be a powerful and tractable application to alleviate continuous cropping obstacles.
Who makes it to the top? Differential rewards to personality across gender and occupation in the UK
Authors: Josten By Cecily , Lordan Grace 
Published: October 2024

Abstract

This study tests whether personality traits are legitimately rewarded in the labour market or whether there are differing rewards across gender that cannot be explained with productivity. We investigate if personality traits affect the likelihood of making it to the top income quintile within an occupation differently by gender using UK Household Longitudinal data. We find that being agreeable hurts men more than women across a majority of occupations, which points at the role of gender norms for wages. Further, female legislators and senior officials who are conscientious, extraverted, neurotic and open are more likely to be among the top earners than men. Other than that, we find small gender differences in personality rewards.
Dual-Channel Variational Graph Autoencoder with Hierarchical Contrastive Learning for Recommendation
Authors: Liu Chenghao , Yang Bohang , Tao Qian 
Published: October 2024

Abstract

In recent years, Graph Neural Networks (GNNs) have been widely utilized in Recommendation. Although current GNNs-based recommendation algorithms have improved performance, they are still plagued by the data sparsity problem. Contrastive learning, which extracts self-supervised signals from a large amount of unlabeled data through auxiliary tasks, is one of the effective means to alleviate this problem. However, existing contrastive learning based on graph structure augmentation may discard important nodes or edges, resulting in the bias of semantic information; while contrastive learning based on embedding augmentation adds random noise to nodes, ignoring the differences between them. To address this problem, we propose a Dual Channel Variational Graph Autoencoder with Hierarchical Contrastive Learning for Recommendation. First, we use variational graph autoencoder to learn the node representation. Second, the collaborative neighbor graph is constructed through the similarity between users (items), which further models the higher-order signals while preserving the information to achieve global-level contrastive learning. Finally, in each variational graph autoencoder, we sample the embeddings from the Gaussian distribution of the intermediate and the final layer according to its estimator variance, respectively, to realize local-level contrastive learning. Extensive experiments on two real-world datasets show that the model achieves state-of-the-art performance, validating its effectiveness.
FinSafeNet: Securing Digital Transactions using optimized Deep learning and Multi-kernal PCA(MKPCA) with Nyström Approximation
Authors: Khan Amad Raza , Ahmed Shaik Sakel , mishra shailendra , Khan Mohd ABdul rahim , Sharma Sunil 
Published: October 2024

Abstract

With the fast-paced development in technology and the broad effect brought about by the Internet on business and communication, cybersecurity has become one of the hottest topics in the world today. In this research work, a novel FinSafeNet based deep learning model is introduced for secured cash transaction in digital banking environment. This FinSafeNet is developed by blending the Bi-LSTM model with Convolutional Neural Network (CNN) and dual-attention mechanism. On the other hand, the transaction time has been the major criterion, which has been satisfied by selecting the optimal features with Improved Snow-lion optimization model (I-SLOA). This I-SLOA mimics the Hierarchical Particle Swarm Optimization (HPSO) in attacking phase and Adaptive Differential Evolution (ADE) in the reproduction process. Thus, making the approach a highly convergent once. In addition to this, the dimensions of the selected features have been reduced using the new Multi-kernel PCA(MKPCA) with Nyström Approximation approach. The improved correlation as well as Joint Mutual Information Maximisation based features have been newly considered along with the existing data features, to find the correlation between the variables. Together, the entire model filled with advanced approaches has successively surpassed the traditional approaches, when validated with standard database. The accuracy recorded by the proposed model is 97.8% for paysim database.
Validity and Clinical Effectiveness of the Breastfeeding History Questionnaire to Determine the Risk of In-Hospital Formula Supplementation in Multiparous Women
Authors: Cagan Emine Serap , Ekşioğlu Aysun , Akyar Ayşe , Turfan Esin Ceber , Bender Whitney R 
Published: October 2024

Abstract

Background: Early detection of women at risk of not breastfeeding their babies is important in terms of supporting maternal and infant health. In particular, the breastfeeding experience of multiparous mothers may be considered as a sufficient factor in breastfeeding success, leading to neglect of breastfeeding support. The study was aimed at testing the psychometric properties of the Breastfeeding History Questionnaire (BAP) and to evaluate clinic effectiveness in detecting the risk of in-hospital formula supplementation among multiparous women.
Methods: The study is a cross-sectional study conducted in a mother-friendly tertiary health care facility in western Turkey, involving 358 women. First of all, expert opinion was obtained for content validity, then the risk of using formula was investigated cross-sectionally. Chi-square test and Student's t-test and multivariate logistic regression analysis were used for data analysis.
Results: The sensitivity and the specificity of the BAP used for the prediction of formula supplement use in the hospital by those whose BAP score was ≤ 1 were 74.6% and 88.2%, respectively. In those with a BAP score of ≤1, while the positive predictive value was 78.22%, the negative predictive value was 85.89%. Of the multiparous women, those with a BAP score of ≤1were 12.8 times more likely to supplement formula during the postpartum hospital stay than were those with a BAP score of ≥2 (RR = 12.88, 95% CI [5.76-27.78]; p < .001).
Conclusions: The BAP is a valid tool and it offers practical evaluation suitable for clinical use.
Outcome Evaluation of Mother mentor’s intervention on Antiretroviral Therapy Adherence Among Pregnant and Breastfeeding Women Up-taking Option B+ in Morogoro Municipal Council, Tanzania
Authors: Chomba Augostino J.K. , Mushi Lawrencia D. 
Published: October 2024

Abstract

Background
Globally more than 90% of Human Immunodeficiency Virus (HIV) infections in children under 15 are due to vertical transmission. The Prevention of Mother-to-Child Transmission program, using Option B+, is critical in preventing this, with antiretroviral therapy adherence being pivotal for success. Conversely, adherence among pregnant and breastfeeding women living with HIV is low. Mother mentors aim to improve antiretroviral therapy adherence in this group within the Prevention of Mother-to-Child Transmission program. This study evaluated the outcome of Mother Mentor intervention on antiretroviral therapy adherence among clients up-taking Prevention of Mother-to-Child Transmission in Morogoro Municipal Council, using a mother mentors intervention.
Methods
A quantitative cross-sectional study focusing on summative evaluation determined the outcome of mother mentors intervention on antiretroviral therapy adherence among clients in Prevention of Mother-to-Child Transmission program. Data from 213 pregnant and breastfeeding women living with HIV, ≥ 16 years, visiting their clinic at control and intervention facilities were collected with a 100% response rate. Intervention facilities received the MMs program. Participants were selected through multistage sampling. Antiretroviral therapy adherence categorized as good or poor, was measured by self-report and viral load methods. Data were analyzed using Stata version 15 for bivariate and multivariate analysis to generate descriptive and inferential statistics.
Results
73.8% and 74.2% of participants had good antiretroviral therapy adherence by self-report and viral load measurement, respectively. Intervention facilities were strongly associated with good adherence compared to control facilities (AOR 2.66, 95% CI: 1.18-6.00, p = 0.018). Surprisingly, longer distance to the healthcare facility was associated with good adherence measured by viral load (AOR 3.35, 95% CI: 1.32–8.48, p = 0.011).
Conclusions
Optimal adherence of ≥ 95% wasn’t achieved. The significant mother mentors intervention impact on antiretroviral therapy adherence highlights the importance of psychosocial and educational sessions in improving health outcomes by mother mentors for this cohort.
Investigation of Kelvin Probe Force Microscopy and Optical Properties of F8BT Polymer Incorporated with ZnONR/AgNP Nanocomposite
Authors: Musa Ishaq 
Published: October 2024

Abstract

The optical properties and work function of poly(9,9-dioctylfluorene-co-benzothiadiazole) (F8BT) and its nanocomposites with ZnO nanorods (ZnONRs) and silver nanoparticles (AgNPs) were extensively studied using techniques such as Scanning Probe Microscopy (SPM) and optical spectroscopy. Kelvin Probe Force Microscopy (KPFM) measurements revealed significant differences in contact potential and a work function of around 4.484 eV for pure F8BT. Furthermore, optical absorption measurements showed increased absorbance and noticeable changes in bandgap when AgNPs and ZnONRs were added, indicating improved light-absorbing properties of the nanocomposites. The band gap of F8BT is typically around 2.50 eV, but the introduction of ZnO nanorods increases it to 2.63 eV. This could be due to the interaction between F8BT and ZnONRs. Additionally, the incorporation of silver nanoparticles (AgNPs) further raises the band gap to 2.66 eV. Analysis of the Photoluminescence (PL) spectra reveals a significant increase in emission intensity for the F8BT/AgNP/ZnONR combination, attributed to exciton recombination and the impact of localized surface Plasmon resonance in the nanocomposites.
First-Time Identification and Characteristic of Key Bacterial Strains in Kombucha Tea, Including the Newly Discovered Bacillus glycinifermentans
Authors: Iqbal Maryam , Ali Fatima , Hsu Chou Yi , Shaukat Ayesha , Shamim Aqsa 
Published: October 2024

Abstract

Kombucha, a fermented tea drink, gained popularity for its probiotic benefits. Understanding its microbial composition, particularly the Symbiotic Culture of Bacteria and Yeast (SCOBY), is crucial for grasping the fermentation process and potential health advantages. We are reporting very first-time identification of Bacillus glycinifermentans new strain in Kombucha tea. The current research study aims to characterize three main bacterial strains part of Kombucha: Bacillus plantarum, Bacillus glycinifermentans, and Gluconacetobacter xylinus. Bacterial strains were isolated by mixing Kombucha tea with black tea. Study identified multiple bacterial strains in Kombucha, with diverse colony characteristics. Biochemical tests were performed and three isolates confirmed as fermentative bacteria, capable of producing acetic acid. ~80% conserved homology was identified among three strains Bacillus plantarum, Bacillus glycinifermentans, and Gluconacetobacter xylinus. Identifying Bacillus plantarum, Bacillus glycinifermentans, and Gluconacetobacter xylinus participates significantly in Kombucha SCOBY's microbial community. Further exploration of these microorganisms' interactions and their fermentation property could improve Kombucha's production and application as a functional food.
Expression of miRNA223-3p induced by deoxycholic acid during human colorectal cancer
Authors: Peng Yashi , Nan Qiong 
Published: October 2024

Abstract

Objective
To study the correlation between deoxycholic acid, colorectal cancer and miRNA223-3p.
Methods Conduct cell experiment,
gene chip and statistical analysis to compare the expression levels of miRNA223-3p between deoxycholic acid treated CCD841 cells, normal CCD841 cells and HT29 cells, human colorectal cancer tissues and adjacent tissues.
Results
When the concentration of deoxycholic acid was 20µmol/L and treated for 24h, the proliferation of normal intestinal epithelial cells was the most active.When the concentration was higher or the treatment time was longer, the normal intestinal epithelial cells were more likely to become cancerous. miRNA223-3p expressions were significantly down-regulated in normal CCD841 cells, HT29 cells and deoxycholic acid treated human colorectal cancer tissues.
Conclusion
Deoxycholic acid can inhibit the expression of miRNA223-3p in colorectal cancer cells and stimulate the proliferation of colorectal cancer cells. These results suggest that miRNA223-3p may play an important role in the diagnosis of early colorectal cancer.
Federated Learning Framework for Intrusion Detection System in Internet of Vehicles with Memory-Augmented Deep Autoencoder
Authors: Bindu G. Hima , Dasari Deepthi Reddy 
Published: October 2024

Abstract

Intrusion detection systems (IDS) are crucial for maintaining the security and integrity of Internet of Vehicles (IoV) configurations. However, traditional IDS systems face issues such as scalability, flexibility in changing IoV settings, and privacy concerns due to centralized data collection. The increasing number of networked cars in the IoV poses significant security concerns, including identifying and mitigating cyberattacks. We need a more effective, privacy-preserving IDS solution, and Federated Learning (FL) emerges as a promising option. The paper suggests using a Federated Learning Framework memory-augmented deep autoencoder for intrusion detection systems (FLF-MADAE) on the IoV to make it safer and fix common IDS issues at the same time. However, autoencoders can generalize and reconstruct anomalies, potentially causing them to go undetected. To address this issue, we propose a memory module named MADAE, which retrieves encoded versions from the encoder and employs a query to select the optimal memory objects for reconstruction. The training phase involves updating memory contents and encouraging them to reflect the usual data items. We tested the effectiveness of the proposed strategy on the car hacking and CSE-CIC-IDS-2018 intrusion detection datasets. Experimental results show that on the CSE-CIC-IDS-2018 dataset, FLF-MADAE has the highest accuracy level of 99.12% and an F1 score of 99.21%; for the car hacking dataset, MADAE has the highest accuracy level of 99.24% and an F1 score of 98.77%.