bluuebunny/crossref_metadata_2025_split huggingface dataset:
Exploring the dynamic three-dimensional chromatin architecture and transcriptional landscape in goose liver tissues underlying metabolic adaptations induced by a high-fat diet
Authors: Gao Guangliang , Liu Rui , Hu Silu , He Mengnan , Zhang Jiaman , Gao Dengfeng , Li Jing , Hu Jiwei , Wang Jiwen , Wang Qigui , Li Mingzhou , Jin Long 
Published: May 2024

Abstract
Background
Goose, descendants of migratory ancestors, have undergone extensive selective breeding, resulting in their remarkable ability to accumulate fat in the liver and exhibit a high tolerance for significant energy intake. As a result, goose offers an excellent model for studying obesity, metabolic disorders, and liver diseases in mammals. Although the impact of the three-dimensional arrangement of chromatin within the cell nucleus on gene expression and transcriptional regulation is widely acknowledged, the precise functions of chromatin architecture reorganization during fat deposition in goose liver tissues still need to be fully comprehended.

Results
In this study, geese exhibited more pronounced changes in the liver index and triglyceride (TG) content following the consumption of the high-fat diet (HFD) than mice without significant signs of inflammation. Additionally, we performed comprehensive analyses on 10 goose liver tissues (5 HFD, 5 normal), including generating high-resolution maps of chromatin architecture, conducting whole-genome gene expression profiling, and identifying H3K27ac peaks in the livers of geese and mice subjected to the HFD. Our results unveiled a multiscale restructuring of chromatin architecture, encompassing Compartment A/B, topologically associated domains, and interactions between promoters and enhancers. The dynamism of the three-dimensional genome architecture, prompted by the HFD, assumed a pivotal role in the transcriptional regulation of crucial genes. Furthermore, we identified genes that regulate chromatin conformation changes, contributing to the metabolic adaptation process of lipid deposition and hepatic fat changes in geese in response to excessive energy intake. Moreover, we conducted a cross-species analysis comparing geese and mice exposed to the HFD, revealing unique characteristics specific to the goose liver compared to a mouse. These chromatin conformation changes help elucidate the observed characteristics of fat deposition and hepatic fat regulation in geese under conditions of excessive energy intake.

Conclusions
We examined the dynamic modifications in three-dimensional chromatin architecture and gene expression induced by an HFD in goose liver tissues. We conducted a cross-species analysis comparing that of mice. Our results contribute significant insights into the chromatin architecture of goose liver tissues, offering a novel perspective for investigating mammal liver diseases.
High-performance computing in healthcare: An automatic literature analysis perspective
Authors: Li Jieyi , Wang Shuai , Rudinac Stevan , Osseyran Anwar 
Published: May 2024

AbstractThe adoption of high-performance computing (HPC) in healthcare has gained significant attention in recent years, driving advancements in medical research and clinical practice. Exploring the literature on HPC implementation in healthcare is valuable for decision-makers as it provides insights into potential areas for further investigation and investment. However, manually analyzing the vast number of scholarly articles is a challenging and time-consuming task. Fortunately, topic modeling techniques offer the capacity to process extensive volumes of scientific literature, identifying key trends within the field. This paper presents an automatic literature analysis framework based on a state-of-art vector-based topic modeling algorithm with multiple embedding techniques, unveiling the research trends surrounding HPC utilization in healthcare. The proposed pipeline consists of four phases: paper extraction, data preprocessing, topic modeling and outlier detection, followed by visualization. It enables the automatic extraction of meaningful topics, exploration of their interrelationships, and identification of emerging research directions in an intuitive manner. The findings highlight the transition of HPC adoption in healthcare from traditional numerical simulation and surgical visualization to emerging topics such as drug discovery, AI-driven medical image analysis, and genomic analysis, as well as correlations and interdisciplinary connections among application domains.
Influence of career awareness on STEM career interests: examining the roles of self-efficacy, outcome expectations, and gender
Authors: Jiang Heli , Zhang Lijin , Zhang Wenlan 
Published: May 2024

Abstract
Background
The studies of science, technology, engineering, and mathematics (STEM) career interests have progressed substantially over the recent years. However, the influence of career awareness on STEM career interests is an area that requires further discussion. Evidently, Chinese adolescents have limited awareness and interest in STEM careers in the context of the Chinese cultural milieu, which can potentially constrain their future career trajectories. This study explored the influence of career awareness on the STEM career interests of Chinese high school students, examining the mediating roles of self-efficacy and outcome expectations for STEM courses in this relationship. Additionally, it analyzes the impact of gender on the average levels and interrelations of these variables. A sample of high school students from both eastern and western regions of China (N = 2542) was selected, and data was analyzed using a structural equation modeling approach.

Results
The findings indicate that while STEM career awareness impacts various types of STEM career interests, minor differences exist in these effects. Specifically, the influence of STEM career awareness on analytical STEM career interests is entirely mediated by self-efficacy and outcome expectations in STEM courses. However, for life-survival and life-healthy STEM career interests, this mediation is only partial, with respective effects accounting for 39% and 45%. Notably, significant mean-level differences exist between male and female students in STEM career interests and self-efficacy in STEM courses, yet the relationships among these variables remain consistent across genders.

Conclusions
This study underscores the pivotal influence of career awareness in molding STEM career interests, shedding light on the mediating functions of self-efficacy and outcome expectations within STEM courses. Through a gender-based analysis, it offers valuable insights into the differing inclinations of male and female high school students in the STEM realm, while also revealing consistent patterns in the relationships among these variables across genders. These findings underscore the necessity for heightened efforts to bolster STEM career awareness and fortify self-efficacy and outcome expectations within STEM courses, particularly in domains characterized by notable gender disparities, aiming to foster equitable advancement within the STEM disciplines.
Association of child marriage and nutritional status of mothers and their under-five children in Bangladesh: a cross-sectional study with a nationally representative sample
Authors: Mim Shanta Akter , Al Mamun Abu Sayed Md. , Sayem Md. Abu , Wadood Md. Abdul , Hossain Md. Golam 
Published: May 2024

Abstract
Background
Child marriage remains an important problem around the world with young mothers and their under-five children often experiencing under-nutrition. The problem is rarely studied in the Bangladeshi population. This paper was designed to identify the association between child marriage and nutritional status of mothers and their under-five children in Bangladesh.

Methods
Nationally representative secondary data was used for this study, data was extracted from the Bangladesh Demographic and Health Survey (BDHS) 2017–18. The sample consisted of 7235 mothers aged 18–49 years and their under-five children. The mothers were classified into two classes according to their age at first marriage: (i) child marriage (marriage at < 18 years) and (ii) not child marriage (marriage at ≥ 18 years). The nutritional status of mothers was measured by body mass index (BMI), and under-five children’s nutritional status was measured by (i) height-for-age (z-score) (stunting), (ii) weight-for-age (z-score) (underweight), and (iii) weight-for-height (z-score) (wasting). The chi-square test and two-level logistic regression model were used for data analysis using SPSS software (IBM version 20).

Results
The prevalence of child marriage among Bangladeshi women was 69.0%, with the mean and median of age at the first marriage being 16.57 ± 2.83 years and 16 years, respectively. Of the mothers, 15.2% suffered from chronic energy deficiency (underweight), and 72.8% were married at < 18 years. The prevalence of stunting, underweight, and wasting among under-five children in Bangladesh was 31.0%, 22.0%, and 8.5%, respectively. Compared to women married at the age of ≥ 18 years, there was a significantly higher likelihood of chronic energy deficiency among women who married at < 18 years [Adjusted OR = 1.27, CI: 1.05–1.82; p < 0.05]. Under-five children of mothers married before the age of 18 were more likely to have stunting [Adjusted OR = 1.201, CI: 1.11–1.72; p < 0.05], wasting [Adjusted OR = 1.519, CI: 1.15-2.00; p < 0.01], and underweight [Adjusted OR = 1.150, CI: 1.09–1.82; p < 0.05] compared to children of mothers who married at age ≥ 18.

Conclusion
The rate of child marriage among Bangladeshi women is high, and it is significantly associated with malnutrition among mothers and their under-five children. The Bangladesh government can use the findings of this study to prevent and reduce child marriage and malnutrition among mothers and their under-five children to achieve sustainable development goals by 2030.
Lifestyle management and brain MRI metrics in female Australian adults living with multiple sclerosis: a feasibility and acceptability study
Authors: Wills Olivia , Wright Brooklyn , Greenwood Lisa-Marie , Solowij Nadia , Schira Mark , Maller Jerome J. , Gupta Alok , Magnussen John , Probst Yasmine 
Published: May 2024

Abstract
Background
Limited studies of multiple sclerosis (MS) exist whereby magnetic resonance imaging (MRI) of the brain with consistent imaging protocols occurs at the same time points as collection of healthy lifestyle measures. The aim of this study was to test the feasibility, acceptability and preliminary efficacy of acquiring MRI data as an objective, diagnostic and prognostic marker of MS, at the same time point as brain-healthy lifestyle measures including diet.

Methods
Participants living with relapsing remitting MS partook in one structural MRI scanning session of the brain, completed two online 24-hour dietary recalls and demographic and self-reported lifestyle questionnaires (e.g. self-reported disability, comorbidities, physical activity, smoking status, body mass index (BMI), stress). Measures of central tenancy and level of dispersion were calculated for feasibility and acceptability of the research protocols. Lesion count was determined by one radiologist and volumetric analyses by a data analysis pipeline based on FreeSurfer software suite. Correlations between white matter lesion count, whole brain volume analyses and lifestyle measures were assessed using Spearman’s rank-order correlation coefficient.

Results
Thirteen female participants were included in the study: eligibility rate 90.6% (29/32), recruitment rate 46.9% (15/32) and compliance rate 87% (13/15). The mean time to complete all required tasks, including MRI acquisition was 115.86 minutes $$($$
(
± 23.04), over 4 days. Conversion to usual dietary intake was limited by the small sample. There was one strong, negative correlation between BMI and brain volume (rs = −0.643, p = 0.018) and one strong, positive correlation between physical activity and brain volume (rs = 0.670, p = 0.012) that were both statistically significant.

Conclusions
Acquiring MRI brain scans at the same time point as lifestyle profiles in adults with MS is both feasible and accepted among adult females living with MS. Quantification of volumetric MRI data support further investigations using semi-automated pipelines among people living with MS, with pre-processing steps identified to increase automated feasibility. This protocol may be used to determine relationships between elements of a brain-healthy lifestyle, including dietary intake, and measures of disease burden and brain health, as assessed by T1-weighted and T2-weighted lesion count and whole brain volume, in an adequately powered sample.

Trial registration
The study protocol was retrospectively registered in the Australia New Zealand Clinical Trials Registry (ACTRN12624000296538).
Experiences of participant and public involvement in an international randomized controlled trial for people living with dementia and their informal caregivers
Authors: Bloska Jodie , Crabtree Sarah , Wollersberger Nina , Mitchell Oti , Coles Jenny , Halsey Caroline , Parry Geraldine , Stewart Robert , Thacker Susan , Thacker Mark , Claydon-Mueller Leica , Winnard Yvette , McMahon Kate , Petrowitz Carina , Smrokowska-Reichmann Agnieszka , van Doorn Beatrix , Baker Felicity A. , Blauth Laura , Bukowska Anna A. , Stensæth Karette , Tamplin Jeanette , Wosch Thomas , Odell-Miller Helen 
Published: May 2024

Abstract
Background
This study was initiated and co-designed by a Participant and Public Involvement (PPI) group attached to HOMESIDE, a randomized controlled trial that investigated music and reading interventions for people living with dementia and their family caregivers across five countries: Australia, Germany, Norway, Poland, and the UK. The aim was to capture experiences of PPI across the five countries, explore the benefits and challenges of PPI in dementia research, and identify contributions made to the study.

Methods
We surveyed PPI members and academic researchers who collaborated on the HOMESIDE study. The survey was co-designed through consultation with PPI members and academics, alongside a small scoping literature review. Survey questions covered four topics: (1) expectations for PPI, (2) perceived contributions of PPI to the research study, (3) benefits and challenges of PPI, and (4) recommendations for future PPI in dementia research.

Results
There were 23 responses, representing 50% of the PPI members (n = 16) and 29% of academics (n = 7). PPI was found to be beneficial to the research and individuals involved. Contributions to the research included supporting recruitment and publicity, advising on the design of participant-facing materials, guiding the design and delivery of the interventions, and identifying cultural differences affecting research delivery. PPI members benefited from building connections, sharing experiences and receiving support, learning about dementia and research, and gaining new unexpected experiences. Academics learned about the realities of living with dementia, which they felt informed and grounded their work. Several challenges were identified, including the need for clear expectations and objectives, inconsistency of PPI members across research stages, limitations of meeting online versus in-person, scheduling difficulties, and language barriers.

Conclusions
This study identifies important considerations for implementing PPI within dementia studies and international healthcare research more broadly. Our findings guided the development of five recommendations: (1) involve PPI members as early as possible and throughout the research process; (2) create a space for constructive criticism and feedback; (3) have clear tasks, roles, and expectations for PPI members; (4) involve PPI members with a diverse range of experiences and backgrounds; and (5) embed infrastructure and planning to support PPI.
General population normative values for the EORTC QLQ-C30 by age, sex, and health condition for the French general population
Authors: Pilz Micha J. , Loth Fanny L.C. , Nolte Sandra , Thurner Anna M.M. , Gamper Eva-Maria , Anota Amélie , Liegl Gregor , Giesinger Johannes M. ,   on behalf of the EORTC Quality of Life Group
Published: May 2024

Abstract
Background
General population normative values for the widely used health-related quality of life (HRQoL) measure EORTC QLQ-C30 support the interpretation of trial results and HRQoL of patients in clinical practice. Here, we provide sex-, age- and health condition-specific normative values for the EORTC QLQ-C30 in the French general population.

Methods
French general population data was collected in an international EORTC project. Online panels with quota samples were used to recruit sex and age groups. Number and type of comorbidities were assessed. Descriptive statistics were used to calculate general population values for each QLQ-C30 scale, separately for sex, age, and presence of one- and more chronic health conditions. A multivariate linear regression model has been developed to allow estimating the effect of sex, age, and the presence for one- and more chronic health conditions on EORTC QLQ-C30 scores. Data was weighted according to United Nation statistics adjusting for the proportion of sex and age groups.

Results
In total, 1001 French respondents were included in our analyses. The weighted mean age was 47.9 years, 514 (51.3%) participants were women, and 497 (52.2%) participants reported at least one health condition. Men reported statistically significant better scores for Emotional Functioning (+9.6 points, p = 0.006) and Fatigue (−7.8 point; p = 0.04); women reported better profiles for Role Functioning (+8.7 points; p = 0.008) and Financial Difficulty (−7.8 points, p = 0.011). According to the regression model, the sex effect was statistically significant in eight scales; the effect of increasing age had a statistically significant effect on seven of the 15 EORTC QLQ-C30 scales. The sex- and age effect varied in its direction across the various scales. The presence of health conditions showed a strong negative effect on all scales.

Conclusion
This is the first publication of detailed French normative values for the EORTC QLQ-C30. It aims to support the interpretation of HRQoL profiles in French cancer populations. The strong impact of health conditions on QLQ-C30 scores highlights the importance of considering the impact of comorbidities in cancer patients when interpreting HRQoL data.
Preparation of insulating firebricks using date seeds
Authors: Abadir Magdy , Eldesoki Hosam Moselhy , Ibrahim Osama Abdel Bary , Sakka Nada Ragab El 
Published: May 2024

Abstract
Background
The use of combustible vegetable waste in the manufacture of refractory insulating firebricks has a double advantage: making use of vegetable waste and decreasing the production cost of bricks.

Results
Ground date seeds were added to kaolin and grog at different ratios and their blend was mixed with water. The wet mixtures were shaped in steel molds, dried overnight at 90 °C and fired at 1200 °C for 2 h. The physical and mechanical properties of the fired bricks were determined and found to be incompatible with standard values. Small amounts of polystyrene beads and perlite were then added to decrease the bulk density and increase the crushing strength. A mixture composed of 6% date seed, 72.5% kaolin, 17.5% grog, 2.5% perlite and 1.5% polystyrene produced bricks that abided by Indian Standards 2042 requirements regarding their bulk density, porosity, crushing strength, percent linear change on reheat and thermal conductivity at 600 °C.

Conclusions
Date seeds have been successfully used as pore generating material in the preparation of Class B insulating firebricks, in a mixture with kaolin, grog and small amounts of polystyrene and perlite.
An overview of pigment gland morphogenesis and its regulatory mechanism
Authors: Sun Yue , Yang Ping , Han Yifei , Li Huazu , Sun Deli , Chen Jinhong , Zhu Shuijin , Zhao Tianlun 
Published: May 2024

AbstractCotton has enormous economic potential, providing high-quality protein, oil, and fibre. But the comprehensive utilization of cottonseed is limited by the presence of pigment gland and its inclusion. Pigment gland is a common characteristic of Gossypium genus and its relatives, appearing as visible dark opaque dots in most tissues and organs of cotton plants. Secondary metabolites, such as gossypol, synthesized and stored in the cavities of pigment glands act as natural phytoalexins, but are toxic to humans and other monogastric animals. However, only a few cotton genes have been identified as being associated with pigment gland morphogenesis to date, and the developmental processes and regulatory mechanism involved in pigment gland formation remain largely unclear. Here, the research progress on the process of pigment gland morphogenesis and the genetic basis of cotton pigment glands is reviewed, for providing a theoretical basis for cultivating cotton with the ideal pigment gland trait.
On the role of generative artificial intelligence in the development of brain-computer interfaces
Authors: Eldawlatly Seif 
Published: May 2024

AbstractSince their inception more than 50 years ago, Brain-Computer Interfaces (BCIs) have held promise to compensate for functions lost by people with disabilities through allowing direct communication between the brain and external devices. While research throughout the past decades has demonstrated the feasibility of BCI to act as a successful assistive technology, the widespread use of BCI outside the lab is still beyond reach. This can be attributed to a number of challenges that need to be addressed for BCI to be of practical use including limited data availability, limited temporal and spatial resolutions of brain signals recorded non-invasively and inter-subject variability. In addition, for a very long time, BCI development has been mainly confined to specific simple brain patterns, while developing other BCI applications relying on complex brain patterns has been proven infeasible. Generative Artificial Intelligence (GAI) has recently emerged as an artificial intelligence domain in which trained models can be used to generate new data with properties resembling that of available data. Given the enhancements observed in other domains that possess similar challenges to BCI development, GAI has been recently employed in a multitude of BCI development applications to generate synthetic brain activity; thereby, augmenting the recorded brain activity. Here, a brief review of the recent adoption of GAI techniques to overcome the aforementioned BCI challenges is provided demonstrating the enhancements achieved using GAI techniques in augmenting limited EEG data, enhancing the spatiotemporal resolution of recorded EEG data, enhancing cross-subject performance of BCI systems and implementing end-to-end BCI applications. GAI could represent the means by which BCI would be transformed into a prevalent assistive technology, thereby improving the quality of life of people with disabilities, and helping in adopting BCI as an emerging human-computer interaction technology for general use.