bluuebunny/crossref_metadata_2025_split huggingface dataset:
What’s in my fuel tank? Insights into beliefs and preferences for e-fuels and biofuels
Authors: Linzenich Anika , Bongartz Dominik , Arning Katrin , Ziefle Martina 
Published: September 2023

Abstract
Background
Alternative fuels made from biomass or CO2 and water using renewable energy can reduce CO2 and pollutant emissions compared to fossil-based mobility and thus support a transition to a more sustainable transport. The adoption of alternative fuels in transport will ultimately depend on public acceptance and drivers’ willingness to use them. Little is known if and under which circumstances people would accept alternative fuels and which narratives and cognitive beliefs might underlie these usage intentions. Moreover, it is unclear if and how laypeople distinguish between different alternative fuel types in their perceptions, e.g., between fuels made from biomass (biofuels) and fuels produced using electricity (e-fuels). To address the research gap, this study empirically investigated laypeople’s beliefs and expectations towards alternative fuels and preferences for different fuel types. Understanding preferences for fuel types could help in steering public information, support managerial decisions and communication pathways, and promote the roll-out process of fuel innovations.

Results
Laypeople expected alternative fuels to be made using renewable feedstocks and to not contain gasoline or diesel. Whereas alternative fuels were believed to have advantages concerning environmental and toxic effects and safety compared to diesel and gasoline, they were associated with practical disadvantages for drivers. It was shown that although e-fuels and biofuels both fall under the definition of ”alternative fuels”, laypeople distinguish between them in evaluations of safety, costs, and resource competitiveness: E-fuels were preferred over biofuels and believed to have a lower competition for resources than biofuels. They were also evaluated to be more expensive and comparably less safe to use. Moreover, different adopter groups were identified for both fuels.

Conclusions
The study has highlighted both adoption drivers and barriers for alternative fuels: Reduced environmental impact could be an important positive factor. In contrast, drawbacks feared by laypeople regarding a low range and an expensive fuel price could be barriers for alternative fuel adoption because they reflect current technical challenges for these fuels. Thus, a more cost-efficient production and higher fuel efficiency should be considered in an acceptance-optimized alternative fuel production.
Association of niacin intake with constipation in adult: result from the National Health and Nutrition Examination
Authors: Huang Xiao , Zhao Liwen , Li Zhenyang , Gu Xiaodong , Li Mingzhe , Xiang Jianbin 
Published: September 2023

Abstract
Background
Although dietary intake is believed to be associated with constipation, there is currently a lack of research exploring the relationship between niacin intake and constipation. Therefore, the aim of this study is to investigate the association between niacin intake in adults and constipation using data from the National Health and Nutrition Examination Survey (NHANES).

Methods
This study included 5170 participants (aged ≥ 20 years) from the NHANES survey conducted between 2009 and 2010. Participants who reported experiencing constipation “always”, “most of the time”, or “sometimes” in the past 12 months were defined as constipation cases. The daily niacin intake was obtained from dietary recall and dietary supplement recalls of the patients. Weighted multivariate logistic regression analysis, restricted cubic spline regression, subgroup analysis, and interaction analysis were used to assess the correlation between niacin intake and constipation.

Results
After adjustment for covariates, the multivariate logistic regression model showed that low niacin intake was associated with a higher risk of constipation (Model 1: OR: 0.917, 95% CI 0.854–0.985, P = 0.023; Model 2: OR: 0.871, 95% CI 0.794–0.955, P = 0.01). After dividing niacin intake into four groups, a daily intake of 0–18 mg niacin was associated with a higher risk of constipation (Model 1: OR: 1.059, 95% CI 1.012–1.106, P = 0.019; Model 2: OR: 1.073, 95% CI 1.025–1.123, P = 0.013). The restricted cubic spline regression analysis also showed a non-linear relationship between niacin intake and the risk of constipation.

Conclusion
The findings of this study suggested that daily intake of 0–18 mg of niacin was associated with a higher risk of constipation compared to a daily intake of 18–27 mg of niacin.
The causal relationship between COVID-19 and seventeen common digestive diseases: a two-sample, multivariable Mendelian randomization study
Authors: Wang Zhiqi , Zhou Huanyu , Zhang Shurui , Wang Fei , Huang Haishan 
Published: September 2023

Abstract
Objectives
In clinical practice, digestive symptoms such as nausea, vomiting are frequently observed in COVID-19 patients. However, the causal relationship between COVID-19 and digestive diseases remains unclear.

Methods
We extracted single nucleotide polymorphisms associated with the severity of COVID-19 from summary data of genome-wide association studies. Summary statistics of common digestive diseases were primarily obtained from the UK Biobank study and the FinnGen study. Two-sample Mendelian randomization analyses were then conducted using the inverse variance-weighted (IVW), Mendelian randomization-Egger regression (MR Egger), weighted median estimation, weighted mode, and simple mode methods. IVW served as the primary analysis method, and Multivariable Mendelian randomization analysis was employed to explore the mediating effect of body mass index (BMI) and type 2 diabetes.

Results
MR analysis showed that a causal association between SARS-CoV-2 infection (OR = 1.09, 95% CI 1.01–1.18, P = 0.03), severe COVID-19 (OR = 1.02, 95% CI 1.00–1.04, P = 0.02), and COVID-19 hospitalization (OR = 1.04, 95% CI 1.01–1.06, P = 0.01) with gastroesophageal reflux disease (GERD). Mediation analysis indicated that body mass index (BMI) served as the primary mediating variable in the causal relationship between SARS-CoV-2 infection and GERD, with BMI mediating 36% (95% CI 20–53%) of the effect.

Conclusions
We found a causal relationship between SARS-CoV-2 infection and gastroesophageal reflux disease. Furthermore, we found that the causal relationship between SARS-CoV-2 infection and GERD is mainly mediated by BMI.
A scoping literature review of the associations between highly visual social media use and eating disorders and disordered eating: a changing landscape
Authors: Sharma Ashley , Vidal Carol 
Published: September 2023

Abstract
Background
Although the etiology of eating disorders (ED) and disorder eating (DE) is multifactorial, exposure to highly visual social media (HVSM) may be an important contributor to the onset or worsening of DE and ED symptoms. We aim to understand HVSM use, ED, and DE with a particular focus on gender differences, as well as details of engagement on “selfies” in adolescents and young adults (AYA) through a scoping review of the literature.

Methods
We conducted a literature search in Psycho ED, PubMed, MEDLINE of articles, including participants with DE/ED and users of HVSM, focused on AYA. Studies in which the study population did not include AYA, the SM platforms used did not include HVSM platforms, and the methodology to assess ED/HVSM use was not robust were excluded.

Results
We found a strong relationship between HVSM and ED and DE with existing gender differences related to the nature of engagement and preference of content. The literature also shows effects of the specific mechanisms of use of these platforms involving “selfie” preparation and posting. Existing research is limited and consists of mostly cross-sectional studies with no uniform methodology and with participant populations that are not well-defined.

Conclusions
The use of unregulated and profit-driven SM platforms can increase risk for ED. To use these HVSM platforms for positive influence, there is a need to have more transparency, and involvement of clinicians, researchers, and educators.

Public significance
Due to HVSM’s popularity among the AYA population, it is important to identify its effects on the development of DE and ED, as well as recognize any gender differences. Clinicians, parents, and other adults working with youth should be aware of HVSM’s impact on DE/ED, as described in this review.
The role of family communication patterns in intergenerational COVID-19 discussions and preventive behaviors: a social cognitive approach
Authors: Gong Wanqi , Jiang Li Crystal , Guo Qin , Shen Fei 
Published: September 2023

Abstract
Background
This study explores and compares the influences of family communication patterns (conversation orientation and conformity orientation) on family discussion and preventive behaviors for older parents and their adult children in the context of the early COVID-19 outbreak.

Methods
A total of 248 participants, including 117 parents and 131 adult children, participated in an online survey in February 2020. Participants reported family communication patterns, family discussions related to COVID-19, and their preventive behaviors.

Results
Conversation orientation was positively associated with information sharing and scientific discussion for older parents and adult children. Our results revealed the differential influences of conformity orientation on older parents and adult children. Conformity orientation was positively associated with scientific discussion for older parents but was not significantly associated with any form of family discussion reported by adult children. There was a significant interaction effect of conversation orientation and conformity orientation on disputed communication within the family, suggesting that conflicts may arise in COVID-related discussions when parents and adult children value conversation and conformity. Scientific discussion was found to mediate the relationships between family communication patterns and preventive behaviors. The effects of scientific discussions were stronger for older parents than for adult children.

Conclusions
Family communication patterns can be associated with preventive behaviors through different forms of family discussion about COVID-19. Conversation orientation is a strong facilitator for positive behavioral effects and scientific discussion is the most benign form of family health discussion. Health communication efforts should enhance the agency role of the family and motivate scientific discussion in health practices.
Pilot-scale continuous biogenic silica extraction from rice husk by one-pot alkali hydrothermal treatment and ball milling
Authors: Park Ji Yeon , Gu Yang Mo , Chun Jinyoung , Sang Byoung-In , Lee Jin Hyung 
Published: September 2023

Abstract
Background
Rice husk is the most silicon-rich renewable biomass and can be used as a raw material for producing silicon-based materials. With the increasing interest in utilizing rice husk as a renewable resource, the development of a robust silica extraction method is required. In this study, a one-pot alkali hydrothermal and ball-milling continuous silica extraction method was developed at the pilot scale.

Results
Three residence times (50, 100, and 150 min) were selected to compare the performance of the continuous extraction process depending on the residence time. The silica production was 4.09, 2.67, and 2.22 kg day−1 while the silica extraction yield was 52.8, 69.1, and 86.0% at resident times of 50, 100, and 150 min, respectively. The energy consumption for producing 1 kg of silica from rice husk was 51.6, 47.7, and 47.4 MJ kg−1 at resident times of 50, 100, and 150 min, respectively. The one-pot continuous silica extraction process was performed for 150 h to verify the stability of the process. During long-term operation, the process exhibited a constant solid content and stable silica extraction yield. The silicate solution obtained by the one-pot continuous process was successfully used to synthesize size-controlled spherical silica particles, which had a purity of 99.1 wt% and amorphous structure.

Conclusions
Overall, this study presents a novel continuous silica extraction method for the efficient recovery of silica from rice husk-based biorefineries.

Graphical abstract
Ontology-based group assessment analytics framework for performances prediction in project-based collaborative learning
Authors: Hadyaoui Asma , Cheniti-Belcadhi Lilia 
Published: September 2023

AbstractThis article introduces an ontology-based framework for group assessment analytics that investigates the impact of intra-group interactions on group performance within the context of project-based collaborative learning (PBCL). Additionally, it aims to predict learners’ performance based on these interactions. The study involved 312 first-degree students specializing in transportation and technology engineering. The framework collects interaction data from discussion forums and chat rooms, conducts comprehensive data analysis, and constructs prediction models using supervised learning methods. The results unequivocally demonstrate that intra-group interactions significantly affect group performance in PBCL. The prediction model, with an accuracy metric of 0.92 and a final test score of 0.77, supports the credibility of the findings. Notably, the framework utilizes an ePortfolio specifically designed for group assessments, effectively managing both assessment and group data. This framework provides educators with a robust tool to assess group performance, identify areas requiring improvement, and contribute to shaping informed student learning outcomes. Furthermore, it empowers students by enabling them to receive feedback on their collaborative efforts, fostering enhanced interaction skills. These findings carry significant implications for the development and implementation of PBCL environments, offering educators valuable insights for evaluating student progress and making strategic decisions.
Expression of TXLNA in brain gliomas and its clinical significance: a bioinformatics analysis
Authors: Hu Bowen , Chen Desheng , Li Yang , Yu Shan , Kuang Liangwen , Ma Xinqi , Yang Qingsong , He Ke , Zhao Yan , Wang Guangzhi , Guo Mian 
Published: September 2023

Abstract
Background
To analyze the expression of TXLNA in brain gliomas and its clinical significance.

Methods
Gene Expression Profiling Interactive Analysis（GEPIA）and Chinese Glioma Genome Atlas（CGGA）databases were retrieved as the methods. To assess the disparity between TXLNA expression in glioma and normal brain tissue. The Kaplan-Meier survival curve was employed to preliminarily evaluate the survival curves of the high and low expression groups, this was done for investigate the correlation between TXLNA expression level and the survival and prognosis of glioma. A Cox proportional regression risk model of multivariate nature was employed to evaluate the elements impacting the survival and prognosis of glioma. Gene pool enrichment analysis（GSEA）was used to investigate the related function of TXLNA in glioma. A Pearson correlation test and co-expression analysis were employed to identify the genes most associated with TXLNA expression.

Result
The enrichment analysis results were observably enriched in signal pathways for instance the cell cycle and completion and coordination cascade pathways, and it is evident that high expression of TXLNA in gliomas is related to a poor survival and a bad patient prognosis, thus making it an independent prognostic factor for gliomas. Genes such as STK40 and R1MS1 are significantly correlated with TXLNA, playing a synergistic or antagonistic role.

Conclusions
The prognosis of GBM patients is strongly linked to the high expression of TXLNA, which may be a viable therapeutic target for curbing cancer progression and creating new immunotherapies for GBM.
Young adults’ sought gratifications from, and perceptions of food advertising by, social media influencers: a qualitative approach
Authors: Alhothali Ghada Talat , Aljefree Najlaa M. 
Published: September 2023

Abstract
Background
This study aims to explore young adults’ sought gratifications from social media influencers and whether they are exposed to food advertising by influencers. Further, it aims to understand how young individuals perceive food advertisements by social media influencers.

Methods
This qualitative study was conducted on 17 students from two public universities—King Abdul Aziz and Jeddah universities—located in the City of Jeddah, Saudi Arabia, using in-depth, face-to-face, and semi-structured interviews. The participants were active users of social media platforms who followed at least one influencer. Thematic analysis was used to analyse the data. The COREQ guidelines for reporting qualitative research (see Additional file 2) were followed when stating the findings.

Results
The findings reveal ten themes, that is, seven gratifications sought by young adults—broadening knowledge, perceived usefulness, self-improvement, boosting positivity, fostering morale, reinforcing inspiration, and passing time/enjoyment—and three themes (i.e. repeated, authentic, and unhealthy) that describe how Saudi young adults perceive food advertising.

Conclusion
This study contributes to social media influencer marketing by identifying the factors that motivate young consumers to follow influencers, and it elucidates the extent to which young adults are exposed to food marketing, adding to the body of literature on food advertising.
Unraveling the complexity: understanding the deconvolutions of RNA-seq data
Authors: Momeni Kavoos , Ghorbian Saeid , Ahmadpour Ehsan , Sharifi Rasoul 
Published: September 2023

AbstractDeconvolution of RNA sequencing data is a computational method used to estimate the relative proportions of different cell types or subpopulations within a heterogeneous sample based on gene expression profiles. This technique is particularly useful in studies where the goal is to identify changes in gene expression that are specific to a particular cell type or subpopulation.The deconvolution process involves using reference gene expression profiles from known cell types or subpopulations to infer the relative abundance of these cells within a mixed sample. This is typically done using linear regression or other statistical methods to model the observed gene expression data as a linear combination of the reference profiles.Once the relative proportions of each cell type or subpopulation have been estimated, downstream analyses can be performed on each component separately, allowing for more precise identification of cell-type-specific changes in gene expression.Overall, deconvolution of RNA sequencing data is a powerful tool for dissecting complex biological systems and identifying cell-type-specific molecular signatures that may be relevant for disease diagnosis and treatment.
Functional outcome and mortality prediction after decompressive craniectomy in patients with malignant middle cerebral artery infarction
Authors: Abouhashem Safwat , Bafaquh Mohammed , Assem Ahmed , Taha Mahmoud M. , ELSherif Mohammed , El-Atawy Shawkat , Hashem Maryam , Eldawoody Hany 
Published: September 2023

Abstract
Background
Although it is well known that performing decompressive craniectomy (DC) in cases of swollen middle cerebral artery infarction (SMCAI) improves patient outcomes, limited evidence presently exists on the likelihood of mortality and achieving functional outcome following DC. The aim of the present study was to identify the predictors of early in-hospital mortality and functional status six months after performing DC in a cohort of patients with SMCAI.

Material and methods
All patients that had suffered SMCAI and underwent DC were included in the study sample and their demographic information, along with clinical and radiological findings, and risk factors were recorded for further analyses, which were conducted using the commercial software STATA. Modified Rankin Scale score (mRS) served as an outcome measure at 6-month follow-up.

Results
DC was performed on 50 patients with SMCAI (72% of whom had left hemisphere infractions) aged 45.2 ± 10.2 years (range 24–67 years), 32 (64%) of whom were female and 18 (36%) were male. While the initial median Glasgow Coma Scale (GCS) score was 8 (range 4–13), clinical deterioration mostly occurred within the first five days, whereby DC was performed within 9 ± 7.2 h (range 2–36 h). Following surgery, 16 (32%) patients died while in hospital, whereas the remaining 34 were discharged after 135 days on average, and attended the 6-month follow-up, when the median mRS score of 3 (range 2–6) was recorded for this subsample.

Conclusions
Younger age, higher GCS score, presence of isochoric pupils, history of prior treatment (e.g., embolectomy or tissue plasminogen activator), and shorter interval between clinical deterioration and surgery are associated with a lower likelihood of mortality and a greater odd of a favorable functional outcome.
Hydromagnetic flow of micropolar nanofluids with co-effects of thermal radiation and chemical reaction over an inclined permeable stretching surface
Authors: Ajala O. A. , Adegbite P. 
Published: September 2023

Abstract
Background
Many investigations have been conducted by researchers across the globe to examine the behavior of fluids with respect to the influence of some constituent parameters and novel results have been obtained. However, the combined effect of thermal radiation and chemical reaction on micropolar nanofluid flow over an inclined stretching surface has not been well elucidated. This article, therefore, employed the mathematical model of Buongiorno for hydromagnetic micropolar nanofluids to study the effect of thermal radiation and chemical reaction on such fluids. The model examined the influence of thermophoresis, Brownian motion and the angle of inclination to the stretching surface on the fluid flow. The set of governing equations were transformed into ordinary differential equations using some similarity transformations and then numerically simplified through Chebyshev collocation method on MATHEMATICA software.

Results
The graphs thus derived were used to interpret the effect of some physical parameters on the fluid flow. It was observed among other results obtained, that thermal radiation, Brownian motion and thermophoresis enhanced the temperature profile of the flow while the inclination angle and chemical reaction declined the velocity and concentration, respectively.

Conclusions
These parameters tested on the various profiles proved observably effective on micropolar nanofluids and should be considered whenever improvement or decrease in the profiles are needed.