bluuebunny/crossref_metadata_2025_split huggingface dataset:
Common maternal health problems and their correlates in early post-partum mothers
Authors: Ng Christine , Szücs Anna , Goh Lay Hoon 
Published: January 2024

Background: Mothers experience a wide range of maternal health problems after childbirth, which in turn, affect their well-being and ability to care for their newborn. These problems may be influenced by factors such as mode of delivery or socio-economic status. Objective: This study aims to investigate the prevalence of common maternal health problems and their correlates in a public primary healthcare institution in Singapore. Design: This was a cross-sectional study, based on a self-administered questionnaire. Methods: A total of 373 mothers (mean age 31.9 years) who accompanied their infants for their 4- to 8-week development assessments at a public primary care clinic in Singapore completed a self-administered questionnaire from June 2021 to December 2021. The questionnaire assessed demographic factors, mode of delivery, number of children, number of individuals providing significant help, and the frequency of common physical and mental maternal health problems using a 5-point Likert-type scale. Results: The five most common maternal health problems were fatigue (77.7%), lower back pain (59.3%), Caesarean wound pain (54.3%), upper back pain (53.0%) and vaginal pain (41.2%). The prevalence of depression and anxiety was 22.0% and 11.3%, respectively. With respect to the symptoms’ correlates, pain on passing urine was more frequent after assisted vaginal deliveries than all other forms of deliveries (all pairwise p < 0.01), and pain on passing motion was more frequent in vaginal deliveries than in Caesarean deliveries (all pairwise p < 0.05). Mothers having a larger number of children more frequently experienced headaches (β = 0.17, SE = 0.05, p = 0.002) and less frequently experienced breastfeeding difficulties (β = –0.28, SE = 0.08, p < 0.001). Conclusion: Mothers experienced a high prevalence of maternal health problems in multiple domains during the first 8 weeks after childbirth. Mode of delivery and number of children were associated with increased prevalence of certain problems. Mothers’ physical and mental well-being should be investigated early after delivery and addressed with adequate treatments and resources.
Changes in Sports Participation, Specialization, and Burnout From 7th to 12th Grade: Final Results From a 6-Year Longitudinal Study
Authors: Valenzuela-Moss Jacquelyn , Sini Milo , Wren Tishya A.L. , Edison Bianca R. 
Published: January 2024

Background: Previous studies show alarming rates of burnout and dropout from sports participation and physical activity in the youth population. Early sports specialization may increase the risk of injury, burnout, and eventual dropout from sports. Hypothesis: Sports participation will decrease, specialization will increase, and burnout will increase from junior high to high school. Study Design: Prospective longitudinal study. Level of Evidence: Level 2b. Methods: The graduating class of 2023 was surveyed longitudinally in the fall of each school year from 7th to 12th grade (n = 35-77 from middle to high school based on new enrollment participants and attrition). Survey questions asked about sports participation, specialization, and burnout. Responses were analyzed by grade level using mixed effects linear and logistic regression accounting for repeated measures. Results: The number of days per week in which students engaged in at least 60 minutes of strenuous exercise progressively decreased from 7th through 12th grade from 4.0 to 2.3 days per week ( P < 0.01). The percentage of students participating in sports also decreased from 7th to 12th grade from 82% to 39% ( P < 0.01). More students stopped participating in a sport (38% vs 22% to 29%, P = 0.04), quit a sport to focus on a single sport (60% vs 46% to 49%, P = 0.01), or reported that 1 sport was most important to them (71% vs 54% to 67%, P = 0.06) in 9th grade. Burnout in sports did not differ significantly by grade level (19% to 23%, P > 0.99). In contrast, burnout in school was significantly more common in high school (54% to 69%) compared with middle school (36%, P < 0.01). Burnout in school was higher in female students compared with male students (68% vs 38%, P < 0.01). Conclusion: Organized sports participation and general physical activity decreased from middle to high school, with the entry into high school at 9th grade being a time at which a significant number of students dropped other sports to specialize in a single sport or stopped participating. Burnout in sports did not appear to increase with age; however, there was an increase in school-related burnout as students transitioned from middle to high school. Clinical Relevance: Our results highlight the need for continued research into sports participation, specialization, and burnout in adolescents. In addition, health professionals and the community (parents, coaches, teachers) supporting youth athletes may consider positive interventions during the periods of transition from middle to high school to include facilitating different tracks of sports participation (including a developmental or recreational model of play) to reduce dropout from sport and supportive measures to lessen burnout from sports and from school.
Subchondral Bone Alignment in Osteochondral Allograft Transplants for Large Oval Defects of the Medial Femoral Condyle: Comparison of Lateral versus Medial Femoral Condyle Donors
Authors: Taylor Kelly M.R. , Locke Conor S. , Mologne Timothy S. , Bugbee William D. , Grant John A. 
Published: January 2024

Objective Supply-demand mismatch of medial femoral condyle (MFC) osteochondral allografts (OCAs) remains a rate-limiting factor in the treatment of osteochondral defects of the femoral condyle. Surface contour mapping was used to determine whether a contralateral lateral femoral condyle (LFC) versus ipsilateral MFC OCA differs in the alignment of donor:native subchondral bone for large osteochondral defects of the MFC. Design Thirty fresh-frozen human femoral condyles were matched by tibial width into 10 groups of 3 condyles (MFC recipient, MFC donor, and LFC donor) each for 3 cartilage surgeons (90 condyles). The recipient MFC was imaged using nano-computed tomography scan. Donor oval grafts were harvested from each matched condyle and transplanted into a 17 mm × 36 mm defect created in the recipient condyle. Following the first transplant, the recipient condyle was imaged and superimposed on the native condyle nano-CT scan. The donor plug was removed and the process repeated for the other donor. Surface height deviation and circumferential step-off height deviation were compared between native and donor subchondral bone surfaces for each transplant. Results There was no statistically significant difference in mean subchondral bone surface deviation (LFC = 0.87 mm, MFC = 0.76 mm, P = 0.07) nor circumferential step-off height (LFC = 0.93 mm, MFC = 0.85 mm, P = 0.09) between the LFC and MFC plugs. There were no significant differences in outcomes between surgeons. Conclusions There were no significant differences in subchondral bone circumferential step-off or surface deviation between ipsilateral MFC and contralateral LFC oval-shaped OCAs for 17 mm × 36 mm defects of the MFC.
What is public trust in national electronic health record systems? A scoping review of qualitative research studies from 1995 to 2021
Authors: Papadopoulos Kimon , von Wyl Viktor , Gille Felix 
Published: January 2024

Objective Public trust in national electronic health record systems is essential for the successful implementation within a healthcare system. Research investigating public trust in electronic health records is limited, leading to a lack of conceptual clarity. In response, the objective of this study is to gain a clearer understanding on the conceptualizations of public trust in electronic health records, which can support the implementation of national electronic health record systems. Methods Guided by the PRISMA-ScR checklist, a scoping review of 27 qualitative studies on public trust in electronic health records found between January 2022 and June 2022 was conducted using an inclusive search method. In an iterative process, conceptual themes were derived describing the promoters and outcomes of public trust in electronic health records. Results Five major conceptual themes with 15 sub-themes were present across the literature. Comprehension, autonomy, and data protection promote public trust in electronic health record; while personal and system benefits are the outcomes once public trust in electronic health records exists. Additional findings highlight the pivotal role of healthcare actors for the public trust building process. Conclusions The results underscore comprehension, autonomy, and data protection as important themes that help ascertain and solidify public trust in electronic health records. As well, health system actors have the capacity to promote or hinder national electronic health record implementation, depending on their actions and how the public perceives those actions. The findings can assist researchers, policymakers, and other health system actors in attaining a better understanding of the intricacies of public trust in electronic health records.
After a Decade of Decline, the US Undocumented Population Increased by 650,000 in 2022
Authors: Warren Robert 
Published: January 2024

Executive Summary This report describes estimates of the undocumented population residing in the United States in 2022 compiled by the Center for Migration Studies of New York (CMS). The estimates are based on data collected in the American Community Survey (ACS) conducted by the US Census Bureau ( Ruggles et al. 2023 ). The report finds that the undocumented population grew from 10.3 million in 2021 to 10.9 million in 2022, an increase of 650,000. The increase reverses more than a decade of gradual decline. The undocumented populations from 10 countries increased by a total of 525,000: Mexico, the Dominican Republic, and India; El Salvador, Guatemala, and Honduras in Central America; and Brazil, Colombia, Ecuador, and Venezuela in South America. The undocumented population in Florida increased by about 125,000 in 2022, Texas increased by 60,000, New York by 50,000, and Maryland by 45,000. The report explains why undocumented population growth is much less than the number of apprehensions by DHS. Finally, the Appendix provides a detailed description of the CMS methodology.
Resource Utilization and Costs Associated with Approaches to Identify Infants with Early-Onset Sepsis
Authors: Guan Grace , Joshi Neha S. , Frymoyer Adam , Achepohl Grace D. , Dang Rebecca , Taylor N. Kenji , Salomon Joshua A. , Goldhaber-Fiebert Jeremy D. , Owens Douglas K. 
Published: January 2024

Objective. To compare resource utilization and costs associated with 3 alternative screening approaches to identify early-onset sepsis (EOS) in infants born at ≥35 wk of gestational age, as recommended by the American Academy of Pediatrics (AAP) in 2018. Study Design. Decision tree–based cost analysis of the 3 AAP-recommended approaches: 1) categorical risk assessment (categorization by chorioamnionitis exposure status), 2) neonatal sepsis calculator (a multivariate prediction model based on perinatal risk factors), and 3) enhanced clinical observation (assessment based on serial clinical examinations). We evaluated resource utilization and direct costs (2022 US dollars) to the health system. Results. Categorical risk assessment led to the greatest neonatal intensive care unit usage (210 d per 1,000 live births) and antibiotic exposure (6.8%) compared with the neonatal sepsis calculator (112 d per 1,000 live births and 3.6%) and enhanced clinical observation (99 d per 1,000 live births and 3.1%). While the per-live birth hospital costs of the 3 approaches were similar—categorical risk assessment cost $1,360, the neonatal sepsis calculator cost $1,317, and enhanced clinical observation cost $1,310—the cost of infants receiving intervention under categorical risk assessment was approximately twice that of the other 2 strategies. Results were robust to variations in data parameters. Conclusion. The neonatal sepsis calculator and enhanced clinical observation approaches may be preferred to categorical risk assessment as they reduce the number of infants receiving intervention and thus antibiotic exposure and associated costs. All 3 approaches have similar costs over all live births, and prior literature has indicated similar health outcomes. Inclusion of downstream effects of antibiotic exposure in the neonatal period should be evaluated within a cost-effectiveness analysis. Highlights Of the 3 approaches recommended by the American Academy of Pediatrics in 2018 to identify early-onset sepsis in infants born at ≥35 weeks, the categorical risk assessment approach leads to about twice as many infants receiving evaluation to rule out early-onset sepsis compared with the neonatal sepsis calculator and enhanced clinical observation approaches. While the hospital costs of the 3 approaches were similar over the entire population of live births, the neonatal sepsis calculator and enhanced clinical observation approaches reduce antibiotic exposure, neonatal intensive care unit admission, and hospital costs associated with interventions as part of the screening approach compared with the categorical risk assessment approach.
Total variation denoising-based method of identifying the states of single molecules in break junction data
Authors: Komoto Yuki , Ryu Jiho , Taniguchi Masateru 
Published: January 2024

AbstractBreak junction (BJ) measurements provide insights into the electrical properties of diverse molecules, enabling the direct assessment of single-molecule conductances. The BJ method displays potential for use in determining the dynamics of individual molecules, single-molecule chemical reactions, and biomolecules, such as deoxyribonucleic acid and ribonucleic acid. However, conductance data obtained via single-molecule measurements may be susceptible to fluctuations due to minute structural changes within the junctions. Consequently, clearly identifying the conduction states of these molecules is challenging. This study aims to develop a method of precisely identifying conduction state traces. We propose a novel single-molecule analysis approach that employs total variation denoising (TVD) in signal processing, focusing on the integration of information technology with measured single-molecule data. We successfully applied this method to simulated conductance traces, effectively denoise the data, and elucidate multiple conduction states. The proposed method facilitates the identification of well-defined plateau lengths and supervised machine learning with enhanced accuracies. The introduced TVD-based analytical method is effective in elucidating the states within the measured single-molecule data. This approach exhibits the potential to offer novel perspectives regarding the formation of molecular junctions, conformational changes, and cleavage.
Flux sampling in genome-scale metabolic modeling of microbial communities
Authors: Gelbach Patrick E. , Cetin Handan , Finley Stacey D. 
Published: January 2024

Abstract
Background
Microbial communities play a crucial role in ecosystem function through metabolic interactions. Genome-scale modeling is a promising method to understand these interactions and identify strategies to optimize the community. Flux balance analysis (FBA) is most often used to predict the flux through all reactions in a genome-scale model; however, the fluxes predicted by FBA depend on a user-defined cellular objective. Flux sampling is an alternative to FBA, as it provides the range of fluxes possible within a microbial community. Furthermore, flux sampling can capture additional heterogeneity across a population, especially when cells exhibit sub-maximal growth rates.

Results
In this study, we simulate the metabolism of microbial communities and compare the metabolic characteristics found with FBA and flux sampling. With sampling, we find significant differences in the predicted metabolism, including an increase in cooperative interactions and pathway-specific changes in predicted flux.

Conclusions
Our results suggest the importance of sampling-based approaches to evaluate metabolic interactions. Furthermore, we emphasize the utility of flux sampling in quantitatively studying interactions between cells and organisms.
Predicting lncRNA-disease associations using multiple metapaths in hierarchical graph attention networks
Authors: Yao Dengju , Deng Yuexiao , Zhan Xiaojuan , Zhan Xiaorong 
Published: January 2024

Abstract
Background
Many biological studies have shown that lncRNAs regulate the expression of epigenetically related genes. The study of lncRNAs has helped to deepen our understanding of the pathogenesis of complex diseases at the molecular level. Due to the large number of lncRNAs and the complex and time-consuming nature of biological experiments, applying computer techniques to predict potential lncRNA-disease associations is very effective. To explore information between complex network structures, existing methods rely mainly on lncRNA and disease information. Metapaths have been applied to network models as an effective method for exploring information in heterogeneous graphs. However, existing methods are dominated by lncRNAs or disease nodes and tend to ignore the paths provided by intermediate nodes.

Methods
We propose a deep learning model based on hierarchical graphical attention networks to predict unknown lncRNA-disease associations using multiple types of metapaths to extract features. We have named this model the MMHGAN. First, the model constructs a lncRNA-disease–miRNA heterogeneous graph based on known associations and two homogeneous graphs of lncRNAs and diseases. Second, for homogeneous graphs, the features of neighboring nodes are aggregated using a multihead attention mechanism. Third, for the heterogeneous graph, metapaths of different intermediate nodes are selected to construct subgraphs, and the importance of different types of metapaths is calculated and aggregated to obtain the final embedded features. Finally, the features are reconstructed using a fully connected layer to obtain the prediction results.

Results
We used a fivefold cross-validation method and obtained an average AUC value of 96.07% and an average AUPR value of 93.23%. Additionally, ablation experiments demonstrated the role of homogeneous graphs and different intermediate node path weights. In addition, we studied lung cancer, esophageal carcinoma, and breast cancer. Among the 15 lncRNAs associated with these diseases, 15, 12, and 14 lncRNAs were validated by the lncRNA Disease Database and the Lnc2Cancer Database, respectively.

Conclusion
We compared the MMHGAN model with six existing models with better performance, and the case study demonstrated that the model was effective in predicting the correlation between potential lncRNAs and diseases.
Comparative analysis and characterization of the chloroplast genome of Krascheninnikovia ceratoides (Amarathaceae): a xerophytic semi-shrub exhibiting drought resistance and high-quality traits
Authors: Liu Yuping , Zheng Changyuan , Su Xu , Chen Jinyuan , Li Xiaoli , Sun Chenglin , Nizamani Mir Muhammad 
Published: January 2024

Abstract
Background
Krascheninnikovia ceratoides, a perennial halophytic semi-shrub belonging to the genus Krascheninnikovia (Amarathaceae), possesses noteworthy ecological, nutritional, and economic relevance. This species is primarily distributed across arid, semi-arid, and saline-alkaline regions of the Eurasian continent, encompassing Inner Mongolia, Xinjiang, Qinghai, Gansu, Ningxia, and Tibet.

Results
We reported the comprehensive chloroplast (cp) genome of K. ceratoides, characterized by a circular conformation spanning 151,968 bp with a GC content of 36.60%. The cp genome encompassed a large single copy (LSC, 84,029 bp), a small single copy (SSC, 19,043 bp), and a pair of inverted repeats (IRs) regions (24,448 bp each). This genome harbored 128 genes and encompassed 150 simple sequence repeats (SSRs). Through comparative analyses involving cp genomes from other Cyclolobeae (Amarathaceae) taxa, we observed that the K. ceratoides cp genome exhibited high conservation, with minor divergence events in protein-coding genes (PCGs) accD, matK, ndhF, ndhK, ycf1, and ycf2. Phylogenetic reconstructions delineated K. ceratoides as the sister taxon to Atriplex, Chenopodium, Dysphania, and Suaeda, thus constituting a robust clade. Intriguingly, nucleotide substitution ratios (Ka/Ks) between K. ceratoides and Dysphania species for ycf1 and ycf2 genes surpassed 1.0, indicating the presence of positive selection pressure on these loci.

Conclusions
The findings of this study augment the genomic repository for the Amarathaceae family and furnish crucial molecular instruments for subsequent investigations into the ecological adaptation mechanisms of K. ceratoides within desert ecosystems.
Single-cell RNA-seq mapping of chicken peripheral blood leukocytes
Authors: Maxwell Matilda , Söderlund Robert , Härtle Sonja , Wattrang Eva 
Published: January 2024

Abstract
Background
Single-cell transcriptomics provides means to study cell populations at the level of individual cells. In leukocyte biology this approach could potentially aid the identification of subpopulations and functions without the need to develop species-specific reagents. The present study aimed to evaluate single-cell RNA-seq as a tool for identification of chicken peripheral blood leukocytes. For this purpose, purified and thrombocyte depleted leukocytes from 4 clinically healthy hens were subjected to single-cell 3′ RNA-seq. Bioinformatic analysis of data comprised unsupervised clustering of the cells, and annotation of clusters based on expression profiles. Immunofluorescence phenotyping of the cell preparations used was also performed.

Results
Computational analysis identified 31 initial cell clusters and based on expression of defined marker genes 28 cluster were identified as comprising mainly B-cells, T-cells, monocytes, thrombocytes and red blood cells. Of the remaining clusters, two were putatively identified as basophils and eosinophils, and one as proliferating cells of mixed origin. In depth analysis on gene expression profiles within and between the initial cell clusters allowed further identification of cell identity and possible functions for some of them. For example, analysis of the group of monocyte clusters revealed subclusters comprising heterophils, as well as putative monocyte subtypes. Also, novel aspects of TCRγ/δ + T-cell subpopulations could be inferred such as evidence of at least two subtypes based on e.g., different expression of transcription factors MAF, SOX13 and GATA3. Moreover, a novel subpopulation of chicken peripheral B-cells with high SOX5 expression was identified. An overall good correlation between mRNA and cell surface phenotypic cell identification was shown.

Conclusions
Taken together, we were able to identify and infer functional aspects of both previously well known as well as novel chicken leukocyte populations although some cell types. e.g., T-cell subtypes, proved more challenging to decipher. Although this methodology to some extent is limited by incomplete annotation of the chicken genome, it definitively has benefits in chicken immunology by expanding the options to distinguish identity and functions of immune cells also without access to species specific reagents.