bluuebunny/crossref_metadata_2025_split huggingface dataset:
Hot oscillating pressing sintered AlCoCrFeNi/nanodiamond high-entropy alloy composites
Authors: Gao Ka , Wu Ziqian , Ren Chunyang , Xiong Yan , Sun Dejian , Gao Yang , An Linan 
Published: September 2023

Abstract

In this work, AlCoCrFeNi/nanodiamond high-entropy alloy composites (HEA/diamond) were prepared for the first time by hot oscillating pressing (HOP) using nanodiamond as the reinforcing phase, and the evolution of microstructure and properties at different sintering temperatures were investigated. The microstructures of the HOPed HEA/diamond high-entropy alloy composites all consisted of the FCC phase, BCC phase and nanocarbide phase uniformly distributed in the interstices of the particles. With the increase in sintering temperature, the original powder particle boundaries in the composites gradually disappeared, the density progressively increased, and the microstructure defects decreased. At 1100°C, the dense density of the material reached its maximum, 99.7%. Moreover, the FCC phase volume fraction and carbide content further increased without significant microstructure coarsening. The hardness and corrosion resistance of the HOPed samples were better than the hot pressing (HP) samples at the same sintering temperature. Especially at lower sintering temperatures (1000°C and below), the microstructure uniformity of the composite material was significantly improved because the original particle boundaries and pores became smaller, and a small number of nanocarbides were uniformly distributed in the powder interstices. The performance of HEA/diamond was greatly enhanced by the carbide pinned reinforcement. The hardness reached a maximum of 566.48 HV1, and the corrosion current density and corrosion rate reached a minimum of 2.916 µm/cm2 and 0.013 mm/year, respectively, which was better than other alloys reported. However, at high temperatures (at 1100°C), the performance decreased due to a large amount of graphitization of diamond to generate carbides, which weakened the interfacial bonding. The results showed that high-density, high-performance HEA/diamond composites could be obtained by HOP at appropriate sintering temperatures.
The real experiences of breast fibroadenoma patients on focused ultrasound ablation surgery: a semi-structure qualitative interview study
Authors: Xiao Yao , Yang Lei , Li Zi , Yue Xuewen , Yin Heng , He Lingli , Rong Wei , Zhang Cai 
Published: September 2023

Abstract
Objective: To explore the real experiences and feelings of breast fibroadenoma patients on focused ultrasound ablation surgery (FUAS).
Methods: Qualitative study was designed by using semi-structured interviews with breast fibroadenoma patients at 6-month after FUAS. The topics of interview were set in five parts, including the experiences on medical consultation, the experiences on FUAS, the views on the effect of FUAS, emotional recovery and overall perception of FUAS. Interview continued until thematic saturation was achieved. All interviews were audio-recorded, transcribed and analyzed thematically using Framework Analysis method.
Results: Fourteen patients were included in this study. Women felt anxiety about breast fibroadenoma and favored minimally-invasive or non-invasive management. They were satisfied with the experiences and therapeutic effects of FUAS. They were also willing to choose FUAS again if they had new fibroadenoma in future and recommended to other patients with breast fibroadenoma.
Conclusion: From the patient’s perspective, FUAS of breast fibroadenoma effectively relieved their negative emotions, achieved their satisfaction, and improved their quality of life, which may have positive impact on the outcomes of FUAS.
Screening and validation of optimal miRNA reference genes in different developing stages and tissues of Lilium henryi Baker
Authors: Jin Ge , Zhang Xiuhai , Yu Shiyin , Du Yunpeng , Wang Meixian , Zhao Chunli , Zhang Mingfang 
Published: September 2023

Abstract
Dynamic miRNA detection using the qRT-PCR technique requires appropriate reference genes to ensure data reliability. Previous studies have screened plant internal reference genes during embryonic development and various stress treatment, involving relatively few tissues and organs. There is no relevant miRNA study in Lilium henryi Baker and limited research on the optimal miRNA reference genes in lilies. Twelve genes were selected as candidate reference genes whose expression stability was analyzed in petals at different developmental stages and other tissues using various algorithms, such as geNorm, Normfinder, Bestkeeper, and Delta CT. The results revealed that the optimal combination of reference genes in the Lilium henryi Baker petals at different developmental stages was osa-miR166m and osa-miR166a-3p, while that in the different tissues of Lilium henryi Baker was osa-miR166g-3p and osa-miR166a-3p.Four important genes related to growth and development regulation, namely, osa-miR156a, osa-miR395b, osa-miR396a-3p, and osa-miR396a-5p, were selected for validation. The findings of the present study would contribute to future investigations on the miRNA expression and the related functions in Lilium henryi Baker while providing important references for the normalization of the miRNA expression in other varieties of lily.
Topological features for the robustness of global supply chain networks
Authors: Kawasaki Tomoya , Yotsushima Tatsuki 
Published: September 2023

Abstract
The topological structure of modern global supply chain networks (SCNs) has become increasingly complex. In recent years, major disruption risk events haveemerged, disrupting complex SCNs. Since a global SCN is the aggregation of several sub-SCNs in terms of industries and countries (regions) and is temporally changing in its topological characteristics, robustness toward risk should be analysed by the community in consideration of its temporality. In this study, we aim (i) to propose a method to generate temporal SCNs of multiple communities, (ii) to evaluate the robustness of each SCN against error and attack risks, and (iii) to identify the topological features that influence the robustness of SCNs using real transaction data between firms. As a result, eight SCNs weredetected based on industries and countries, and the size of these SCNsincreased over time. The average shortest path length and degree distribution have similar impacts on each SCN, while the cluster structure diverges among SCNs. Regarding robustness against error and attack risk, unlike in existing studies, the SCNs are significantly partitioned at the initial firm removal rate. Only for attack risk, percolation transition was found at approximately 10% removal of firms. The relationship between robustness indicators and topological features is identified by panel data analysis, and we find that the significant topological features affecting robustness differ by type of risk.
Key influences on university students’ physical activity: a systematic review using the Theoretical Domains Framework and the COM-B model of human behaviour
Authors: Brown Catherine E. B. , Richardson Karyn , Halil-Pizzirani Bengianni , Atkins Lou , Yücel Murat , Segrave Rebecca 
Published: September 2023

Abstract
Background
Physical activity is important for all aspects of health. Most university students are not participating in the level of activity required to realise these benefits. Understanding the factors that influence physical activity in the context of behaviour change theory is valuable to inform the development of effective evidence-based interventions to increase university students’ participation in physical activity. The current systematic review a) identified barriers and facilitators to university students’ physical activity, b) mapped these factors to the Theoretical Domains Framework (TDF) and COM-B model, and c) ranked the relative importance of TDF domains.
Methods
Data synthesis included qualitative, quantitative and mixed-methods research published from 2010–2023. Four databases were searched to identify publications on the barriers and facilitators to university students' physical activity. Data regarding study design and key findings (i.e., participant quotes, qualitative theme descriptions, and survey results) were extracted. Framework analysis was used to code barriers and facilitators to the TDF and COM-B model. Within each TDF domain, thematic analysis was used to group similar barriers and facilitators into descriptive theme labels. TDF domains were ranked by importance based on frequency, elaboration, and evidence of mixed beliefs.
Results
Thirty-nine studies involving 17,771 participants met the inclusion criteria. Fifty-six barriers and facilitators mapping to twelve TDF domains and the COM-B model were identified as relevant to university students’ physical activity. Three TDF domains, environmental context and resources (e.g. time constraints), social influences (e.g. exercising with others), and goals (e.g. prioritisation of physical activity) were judged to be of greatest importance (identified in > 50% of studies). TDF domains of lower relative importance were intentions, reinforcement, emotion, beliefs about consequences, knowledge, physical skills, beliefs about capabilities, cognitive and interpersonal skills, social/professional role and identity, and behavioural regulation. No barriers/facilitators relating to the TDF domains of memory, attention and decision process, or optimism were identified.
Conclusions
The current findings provide a foundation to enhance the development of theory and evidence informed interventions to support university students’ engagement in physical activity. Interventions that include a focus on the TDF domains 'environmental context and resources,' 'social influences,' and 'goals,' hold particular promise for promoting active student lifestyles.
Registration
Prospero ID - CRD42021242170
The RhoA GTPase regulates Type I Interferon Signaling in Systemic lupus erythematosus
Authors: Fan Wei , Wei Bo , Chen Xuyan , Zhang Yi , Xiao Pingping , Li Kaiyan , Zhang Yi qin , Huang Jinmei , Leng Lin , Bucala Richard 
Published: September 2023

Abstract
Objective. Systemic lupus erythematosus (SLE) is an autoimmune disorder characterized by abnormal activation of the type I interferon (IFN) pathway, which results in tissue inflammation and organ damage. We explored the role of the RhoA GTPase in the type I IFN activation pathway to provide a potential basis for targeting GTPase signaling for the treatment of SLE.Methods. Total RNA was extracted from peripheral blood mononuclear cells (PBMCs) of SLE patients and healthy controls, and the mRNA expression levels of RhoA and IFN-stimulated genes were measured by SYBR Green quantitative reverse transcriptase-polymerase chain reaction. IFN-stimulated response element (ISRE)-luciferase reporter gene assays and Western blotting were conducted to asssess the biologic function of RhoA. An Enzyme-Linked Immunoassay (ELISA) measured C-X-C motif chemokine ligand 10(CXCL10)protein expression.Results. Our studies demonstrated that the expression of RhoA in the PBMCs of SLE subjects was significantly higher than healthy controls and positively correlated with type I IFN scores and type I IFN-stimulated gene (ISGs) expression levels. SiRNA-mediated knockdown of RhoA and the RhoA/ROCK inhibitor Y27632 reduced the activity of the type I IFN-induced ISRE, the signal transducer and activator of transcription 1 (STAT-1) phosphorylation, and the expression of CXCL10 and 2'-5'-oligoadenylate synthetase 1(OAS1). Finally,we verified that Y27632 could significantly down-regulate the OAS1 and CXCL10 expression levels in PBMCs of SLE patients.Conclusion. Our study shows that RhoA positively regulates the activation of the type I IFN response pathway. Reducing the expression level of RhoA inhibits the abnormal activation of the type I IFN system, and the RhoA/ROCK inhibitor Y27632 decreases aberrant type I IFN signaling in SLE PBMCs, suggesting the possibility of targeting the RhoA GTPase for the treatment of SLE.
Utility Cryptocurrency Price Forecasting and Trading: Deep Learning Analytics Approaches
Authors: Mahapatro Susrita , Sahu Prabhat Kumar , Subudhi Asit , Dash Pradeep Kumar 
Published: September 2023

Abstract

Cryptocurrency emerged in the market as an asset with significant market capitalization; attracting traders, investors and researchers alike. The nature of cryptocurrency is very much volatile and dynamic which is the key challenge for the researchers for prediction of the cryptocurrency prices. In recent years, machine learning techniques along with deep learning techniques have witnessed promising results in various financial forecasting domains. This research paper presents a comprehensive investigation of Utility cryptocurrency price movement (XRP and Chainlink) using Deep Learning techniques. The study aims to compare the price using different methodologies. The research focuses on long short-term memory (LSTM), gated recurrent units (GRU). Historical price data of XRP and Chainlink are employed to train and evaluate the models using different evaluation metrics such as Root Mean Square Error (RMSE), Mean Absolute Error (MAE), R2 score, Regression Score, (MGD), (MPD). This research contributes to the growing body of knowledge concerning cryptocurrency price prediction by shedding light on the effectiveness of time series models, sentiment analysis, and their hybridization. The objective is to populate findings that have significant implications for different stakeholders like investors, traders,, and financial institutions seeking to make informed decisions in the highly volatile cryptocurrency market.
Anthropogenic Determinants and Ecological Resilience of Aravalli: A Tropical Dry Deciduous Forest Ecosystem in India
Authors: Dhanwantri Kumud , Yadav K.K. , Dhote Meenakshi , Rajendra Kushagra 
Published: September 2023

Abstract
The Tropical Dry Deciduous Forest (TDDF) ecosystems in India, recognised for their unique biodiversity and socioeconomic significance, are undergoing multifaceted pressures from anthropogenic activities. This research paper concentrates on various anthropogenic determinants and their impact on the ecological resilience of India's TDDF ecosystem. It comprehensively investigates the intricate relationship between human activities and the environmental stability of a vital ecosystem of the Aravalli ranges neighbouring significant metropolitan cities in Haryana. Focused on a dry deciduous forest ecosystem, the research employs a qualitative approach to assess the impact of anthropogenic factors on ecosystem health and the potential for ecological resilience. By combining empirical observations, Google Earth satellite images, field investigations, analysis of legislative and policy documents, and personal interviews with key stakeholders, the study reveals the complex interplay between regulatory provisions, land-use changes, resource extraction, and biodiversity loss within the ecosystem. Furthermore, the research delves into the adaptive capacity of the ecosystem, analysing its ability to recover from disturbances induced by human actions. The findings shed light on critical thresholds and tipping points that can lead to irreversible changes. Ultimately, this study contributes to a deeper understanding of the dynamics between human activities and ecosystem resilience, offering valuable insights for informed conservation and sustainable management strategies in tropical dry deciduous forest ecosystems and similar environments globally.
The Accessibility and Utilization of University Health Care Services among Staffs and Undergraduate Students of University of Lagos, Nigeria
Authors: Abdulganiyu Abdulazeez 
Published: September 2023

Abstract
Background
Despite the critical role of knowledge development in tertiary institutions through monitoring and evaluation of health care delivery, many Nigerian universities, including the University of Lagos, conduct little or no research on health care service consumption. This study investigated how accessible health services are at the University of Lagos Health Centre, with the intention that the findings may assist the institution's health services management in improving health care planning, organization, and delivery.
Methods
The non-experimental research design was used in this study. A cross-sectional survey was conducted, and a quantitative technique was used with a questionnaire as the study instrument. The location was the University of Lagos. The study population for this study were the staffs (both academic and non-academic) and undergraduate students in the University of Lagos, Akoka campus. A total number of 300 sample size was considered for this study. The multi-stage sampling involving snowballing and purposive sampling technique was applied to this study. To construct univariate and bivariate tables, the Statistical Package for Social Sciences (SPSS 20) computer software was utilized. The Chi-square test was performed at the 0.05 level of significance.
Results
The study indicated that a significant majority of respondents have experienced difficulties in accessing the UHC (95.31%), while a very small percentage have not (4.69%). The study indicated that relationship exists between user’s status and the quality of services they are provided by the Unilag health center because P value is > 0.005. Also, the chi-square calculated indicated that a relationship exists between utilization and satisfaction with quality of services provided by the Unilag health center.
Conclusion
Overall, this study's comprehensive exploration provided insights that extend beyond the surface, shedding light on the intricate interplay between socio-economic factors, healthcare experiences, and perceptions within a university setting. It serves as a valuable foundation for addressing existing challenges and enhancing the overall well-being of the university community through improved healthcare services and communication strategies.
Effect of foliar spray with Eucalyptus extracts on disease incidence and yield loss to spot blotch in Wheat Bhakkar 2001 under greenhouse condition
Authors: Bahadar Khalida , Khan Saira , Munir Anjum , Asad Shahzad 
Published: September 2023

Abstract
The efficacy of foliar spray with different treatments of flowering buds extracts of Eucalyptus camaldulensis L. and Eucalyptus torelliana F. Muell on the yield performance of wheat (Bhakkar 2001) artificially infected by Bipolaris sorokiniana was evaluated in green house. The foliar aerosol of crude extract at 1, 5 and 10% concentrations were applied under 3 spray schedules. Untreated (Healthy) and unsprayed (Diseased) controls were also managed. The effect of treatments with different spray schedules was highly significant (P < 0.05) for both of physiological and yield parameters such as plant height, leaves length/width, grain yield/spike and 1000 grain weight. Weight of 1000-grain decreased with increasing level of disease severity. Maximum decrease in number of grains/spike (16–20) was recorded in unsprayed control. In case of number of grains/spike, for each unit increase in disease severity, 0.395 units decrease in number of grains/spike were observed. The R2 (0.473) value indicates that 47.3% variations in grains yield/spike were caused by disease severity. Among the different spray schedules, spray I schedule with a 10 days gape spraying at 15, 25, 35, 45 and 55 days after inoculation appeared to be most effective, which was statistically similar to spray II schedule with a 15 days gape spraying at 15, 30, 45 and 60 DAI in reducing black point incidence and increasing grain yield. From economic point of view spray II schedule that containing four spray applications was found best followed by Spray III schedule that containing only three spray applications applied at 15, 35 and 55 DAI.
A Study on Bias Detection and Classification in Natural Language Processing
Authors: Evans Ana Sofia , Helena Moniz , Luisa Coheur 
Published: September 2023

Abstract

Human biases have been shown to influence the performance of models and algorithms in various fields, including Natural Language Processing. While the study of this phenomenon is garnering focus in recent years, the available resources are still relatively scarce, often focusing on different forms or manifestations of biases. The aim of our work is twofold: 1) gather publicly-available datasets and determine how to better combine them to effectively train models in the task of hate speech detection and classification; 2) analyse the main issues with these datasets, such as scarcity, skewed resources, and reliance on non-persistent data. We discuss these issues in tandem with the development of our experiments, in which we show that the combinations of different datasets greatly impact the models’ performance.
Elucidation of the mechanisms of α-linolenic acid and its derivative in the treatment of non-small cell lung cancer using network pharmacology
Authors: Meng Yue , Liu Yuan , Shao Jingjing , Qian Hongyan , Huang Qinlin , Qi Jingjing , Liu Jun 
Published: September 2023

Abstract
Purpose
α-Linolenic acid (ALA) and its derivative docosahexaenoic acid (DHA) have been reported to play an anticancer role in multiple types of cancer. However, their molecular targets in treating non-small cell lung cancer (NSCLC) have not been investigated.
Methods
The common target genes of NSCLC, ALA and DHA were obtained by intersections between disease and drug databases. The common targets were imported into the STRING database to build a PPI network. The hub genes were selected in Cytoscape. GO and KEGG analyses were performed to reveal the function of potential targets, and the prognosis of hub genes was obtained by KM analysis. Moreover, molecular docking of target molecules and ligands was carried out using AuToDock software to select the ligand‒receptor with the lowest binding energy for molecular dynamics simulation.
Results
A total of 8357 targets of NSCLC, 15 targets of ALA and DHA, 12 common targets of diseases and drugs, and 9 targets of PPI interactions were obtained. The Kaplan‒Meier plotter showed that the mRNA expression of the 3 hub genes was significantly associated with overall survival (OS) and first progression survival (FPS) in NSCLC patients. These results showed good binding between the drug components and the hub targets. Molecular docking and molecular dynamics simulations demonstrated that the binding of RXRA and DHA tends to be stable.
Conclusions
In this study, we investigated the basic pharmacological effects of ALA and DHA in treating NSCLC and concluded that ALA and DHA have multitarget and multipathway actions in the treatment of NSCLC.