bluuebunny/crossref_metadata_2025_split huggingface dataset:
Sex differences in social and emotional insight in youth with and without autism
Authors: Mattern Hunter , Cola Meredith , Tena Kimberly G. , Knox Azia , Russell Alison , Pelella Maggie Rose , Hauptmann Aili , Covello Maxine , Parish-Morris Julia , McCleery Joseph P. 
Published: March 2023

AbstractAutism was formally recognized by the medical community in the first half of the twentieth century. Almost 100 years later, a small but growing literature has reported sex differences in the behavioral expression of autism. Recent research has also begun to explore the internal experiences of individuals with autism, including social and emotional insight. The current study examines sex differences in language-based markers of social and emotional insight in girls and boys with autism and non-autistic peers during semi-structured clinical interviews. Sixty-four participants aged 5 to 17 years were individually matched on chronological age and full-scale IQ to form four groups: autistic girls, autistic boys, non-autistic girls, and non-autistic boys. Transcribed interviews were scored using four scales that index aspects of social and emotional insight. Results revealed the main effects of diagnosis, such that youth with autism exhibited lower insight than non-autistic youth on scales indexing social cognition and object relations, emotional investment, and social causality. With regards to sex differences, across diagnoses, girls were rated higher than boys on the social cognition and object relations, emotional investment, and social causality scales. Examined within each diagnosis separately, clear sex differences emerged: both autistic and non-autistic girls demonstrated better social cognition and understanding of social causality than boys in their respective diagnostic groups. No within-diagnosis sex differences were found on the emotional insight scales, however. These results suggest that relatively enhanced social cognition and understanding of social causality in girls may be a population-level sex difference that is preserved in autism, despite the core social challenges that characterize this condition. The current findings reveal critical new information about insight into social and emotional thinking and relationships in autistic girls versus boys that have important implications for improving identification and designing effective interventions.
MAW: the reproducible Metabolome Annotation Workflow for untargeted tandem mass spectrometry
Authors: Zulfiqar Mahnoor , Gadelha Luiz , Steinbeck Christoph , Sorokina Maria , Peters Kristian 
Published: March 2023

AbstractMapping the chemical space of compounds to chemical structures remains a challenge in metabolomics. Despite the advancements in untargeted liquid chromatography-mass spectrometry (LC–MS) to achieve a high-throughput profile of metabolites from complex biological resources, only a small fraction of these metabolites can be annotated with confidence. Many novel computational methods and tools have been developed to enable chemical structure annotation to known and unknown compounds such as in silico generated spectra and molecular networking. Here, we present an automated and reproducibleMetabolomeAnnotationWorkflow (MAW) for untargeted metabolomics data to further facilitate and automate the complex annotation by combining tandem mass spectrometry (MS2) input data pre-processing, spectral and compound database matching with computational classification, and in silico annotation. MAW takes the LC-MS2spectra as input and generates a list of putative candidates from spectral and compound databases. The databases are integrated via the R package Spectra and the metabolite annotation tool SIRIUS as part of the R segment of the workflow (MAW-R). The final candidate selection is performed using the cheminformatics tool RDKit in the Python segment (MAW-Py). Furthermore, each feature is assigned a chemical structure and can be imported to a chemical structure similarity network. MAW is following the FAIR (Findable, Accessible, Interoperable, Reusable) principles and has been made available as the docker images, maw-r and maw-py. The source code and documentation are available on GitHub (https://github.com/zmahnoor14/MAW). The performance of MAW is evaluated on two case studies. MAW can improve candidate ranking by integrating spectral databases with annotation tools like SIRIUS which contributes to an efficient candidate selection procedure. The results from MAW are also reproducible and traceable, compliant with the FAIR guidelines. Taken together, MAW could greatly facilitate automated metabolite characterization in diverse fields such as clinical metabolomics and natural product discovery.
Immobilization of E. coli expressing γ-glutamyltranspeptidase on its surface for γ-glutamyl compound production
Authors: Arai Shintaro , Suzuki Hideyuki 
Published: March 2023

AbstractAn Escherichia coli strain expressing γ-glutamyltranspeptidase on its extracellular surface using the Met1 to Arg232 fragment of YiaT of E. coli as an anchor protein was immobilized with alginate for repeated use. Measurement of γ-glutamyltranspeptidase activity of the immobilized cells was performed repeatedly at pH 8.73 and 37 °C for 10 days using γ-glutamyl-p-nitroanilide in the presence of 100 mM CaCl2 and 3% NaCl with and without glycylglycine. Even after the 10th day, the enzyme activity did not decrease from the initial levels. The production of γ-glutamylglutamine from glutamine using the immobilized cells was performed repeatedly at pH 10.5 and 37 °C for 10 days in the presence of 250 mM glutamine, 100 mM CaCl2, and 3% NaCl. Sixty-four % of glutamine was converted to γ-glutamylglutamine in the first cycle. While repeating the production 10 times, the surface of the beads gradually became covered with white precipitate, and the conversion efficiency gradually decreased, but 72% of the initial value still remained even at the 10th measurement.
Increased investment in Universal Health Coverage in Sub–Saharan Africa is crucial to attain the Sustainable Development Goal 3 targets on maternal and child health
Authors: Dowou Robert Kokou , Amu Hubert , Saah Farrukh Ishaque , Adeagbo Oluwafemi , Bain Luchuo Engelbert 
Published: March 2023

AbstractUniversal Health Coverage (UHC) is considered a strategic component of the Sustainable Development Goals specifically for goal 3 which seeks to ensure healthy lives and promote well-being for all, where all individuals and communities have equal access to key promotive, preventive, curative, and rehabilitative health interventions without financial constraints. Despite Sub-Saharan Africa (SSA) accelerated gains on the UHC effective coverage of 2.6% between 2010 to 2019, many countries in the sub-region show lagging performance. The major challenges faced in attaining the UHC in many countries include inadequate capital investment for health and their equitable distribution, fiscal space to finance UHC policies and programs. This paper discusses how increased investment in Universal Health Coverage in SSA is crucial to attain the Sustainable Development Goal 3 targets on maternal and child health. The Universal Health Monitoring Framework (UHMF) is adopted in this paper as the underpinning framework. The delivery of essential maternal and child health services to achieve UHC in SSA requires strategic actions such as policies, plans and programs with focus on maternal and child health. We report findings from recently published papers that clearly highlighted the strong connection between health insurance coverage and maternal health care utilization. Strategic actions such as implementing national health insurance scheme (NHIS) that directly incorporates free maternal and child health care could strengthen maternal health services and transform health systems in order to achieve UHC in SSA. We argue that achieving the SDG 3 on maternal and child health will only be possible if significant progress in made in increasing UHC. This is key to ensure optimal maternal health care utilization, and consequently reducing maternal and child deaths.
Comparison of the efficacy and safety of conventional curettage adenoidectomy with those of other adenoidectomy surgical techniques: A systematic review and network meta-analysis
Authors: Malas Moayyad , Althobaiti Awwadh A. , Sindi Abdullah , Bukhari Afnan F. , Zawawi Faisal 
Published: March 2023

Objectives There is a lack of robust evidence in regards to whether the intra and post-operative safety and efficacy of conventional curettage adenoidectomy is better than those of other available surgical techniques. Therefore, this study was conducted as a systematic review and network meta-analysis of published randomized controlled trials (RCTs) with the aim of comparing the safety and efficacy of conventional curettage adenoidectomy with all other available adenoidectomy techniques. Materials and methods A systematic search of published articles was performed in 2021 using databases such as PubMed/Medline, EMBASE, EBSCO, and the Cochrane Library. All RCTs that compared conventional curettage adenoidectomy with other surgical techniques and were published in English between 1965 and 2021 were included. The quality of the included RCTs have been assessed using Cochrane Collaboration Risk of Bias Tool. Results After screening 1494 articles, 17 were identified for comparing several adenoidectomy techniques and were eligible for quantitative analysis. Of those, 9 RCTs were analyzed for intraoperative blood loss, and 6 articles were included for post-operative bleeding. Furthermore; 14, 10, and 7 studies were included for surgical time, residual adenoid tissue, and postoperative complications respectively. Endoscopic-assisted microdebrider adenoidectomy yielded a statistically significantly greater estimate of intraoperative blood loss compared with conventional curettage adenoidectomy (mean difference [MD], 92.7; 95% confidence interval [CI] 28.3–157.1), suction diathermy (MD, 117.1; 95% CI 37.2–197.1). Suction diathermy had the highest cumulative probability of being the preferred technique because it was estimated to result in the least intraoperative blood loss. Electronic molecular resonance adenoidectomy was estimated to be more likely to result in the shortest surgical time (mean rank, 2.2). Participants in the intervention group were 97% less likely to have residual adenoid tissue than children in the conventional curettage group (odds ratio 0.03; 95% CI 0.01–0.15); therefore, conventional curettage was not considered an appropriate technique for complete removal of adenoid tissue. Conclusion There is no single technique that can be considered best for all possible outcomes. Therefore, otolaryngologists should make an appropriate choice after critically reviewing the clinical characteristics of children requiring adenoidectomy. Findings of this systematic review and meta-analysis may guide otolaryngologists when making evidence-based decisions regarding the treatment of enlarged and symptomatic adenoids in children.
Tactile maps of historical gardens: method of content selection
Authors: Zwirowicz-Rutkowska A. , Mościcka A. , Araszkiewicz A. , Wabiński J. , Kiliszek D. 
Published: March 2023

Abstract
Historical gardens are a significant part of the cultural heritage. Exploration of such gardens is an important element of education. A particular challenge is to increase the accessibility of these facilities for the people with visual impairments (PVI). Among the aids enabling PVI visiting the gardens are tactile maps. The currently used tactile maps focus mainly on orientation and mobility. They do not allow exploration of gardens as a spatial composition, taking into account their cultural values. Therefore, the aim of our study was to develop the rules for content selection of tactile maps presenting those features of gardens that decide about their value, and to formalize these rules using the Unified Modeling Language (UML). In this research we analyzed features of 15 gardens in the five garden design styles: Baroque, Renaissance, English, Romantic, and Japanese. In result, we have proposed the way of mapping of the five garden design styles in a form useful for PVI. We have defined the procedure of content selection, as well as the catalogues of elements to be mapped at different levels of details, distinguishing repetitive and unique elements of each style. Finally, we have defined the easy-to-use list of content elements of tactile maps in the five design styles. Our solutions are described in a formalized way that allows their unambiguous understanding and universal application. The proposed solutions contribute to increasing the accessibility of gardens to PVI and allow them to learn about the values of cultural heritage of such places.
Data-centric artificial intelligence in oncology: a systematic review assessing data quality in machine learning models for head and neck cancer
Authors: Adeoye John , Hui Liuling , Su Yu-Xiong 
Published: March 2023

AbstractMachine learning models have been increasingly considered to model head and neck cancer outcomes for improved screening, diagnosis, treatment, and prognostication of the disease. As the concept of data-centric artificial intelligence is still incipient in healthcare systems, little is known about the data quality of the models proposed for clinical utility. This is important as it supports the generalizability of the models and data standardization. Therefore, this study overviews the quality of structured and unstructured data used for machine learning model construction in head and neck cancer. Relevant studies reporting on the use of machine learning models based on structured and unstructured custom datasets between January 2016 and June 2022 were sourced from PubMed, EMBASE, Scopus, and Web of Science electronic databases. Prediction model Risk of Bias Assessment (PROBAST) tool was used to assess the quality of individual studies before comprehensive data quality parameters were assessed according to the type of dataset used for model construction. A total of 159 studies were included in the review; 106 utilized structured datasets while 53 utilized unstructured datasets. Data quality assessments were deliberately performed for 14.2% of structured datasets and 11.3% of unstructured datasets before model construction. Class imbalance and data fairness were the most common limitations in data quality for both types of datasets while outlier detection and lack of representative outcome classes were common in structured and unstructured datasets respectively. Furthermore, this review found that class imbalance reduced the discriminatory performance for models based on structured datasets while higher image resolution and good class overlap resulted in better model performance using unstructured datasets during internal validation. Overall, data quality was infrequently assessed before the construction of ML models in head and neck cancer irrespective of the use of structured or unstructured datasets. To improve model generalizability, the assessments discussed in this study should be introduced during model construction to achieve data-centric intelligent systems for head and neck cancer management.
Supporting “time awareness” in self-regulated learning: How do students allocate time during exam preparation?
Authors: Hsu Chia-Yu , Horikoshi Izumi , Li Huiyong , Majumdar Rwitajit , Ogata Hiroaki 
Published: March 2023

AbstractThe development of technology enables diverse learning experiences nowadays, which shows the importance of learners’ self-regulated skills at the same time. Particularly, the ability to allocate time properly becomes an issue for learners since time is a resource owned by all of them. However, they tend to struggle to manage their time well due to the lack of awareness of its existence. This study, hence, aims to reveal how learners allocate their time and evaluate the effectiveness of the time allocation by examining its effects on learners’ performance. We collect the learning logs of 116 seventh-graders from the online learning system implemented in a Japanese public junior high school. We look at the data in the time window of 34 days before the regular exam. Even though clustering techniques as a Learning Analytics method help identify different groups of learners, it is seldom applied to group students’ learning patterns with different levels of indicators extracted from their learning process data. In this study, we adopt the method to cluster students’ patterns of time allocation and find that better performance can result from the consistency of study time throughout the exam preparation period. Practical suggestions are then proposed for different roles involved in digital learning environments to facilitate students’ time management. Collectively, this study is expected to make contributions to smart learning environments supporting self-regulated learning in the digital era.
Identification of the shared genes and immune signatures between systemic lupus erythematosus and idiopathic pulmonary fibrosis
Authors: Liao Sheng , Tang Youzhou , Zhang Ying , Cao Qingtai , Xu Linyong , Zhuang Quan 
Published: March 2023

Abstract
Background
Systemic lupus erythematosus (SLE) is an autoimmune disorder which could lead to inflammation and fibrosis in various organs. Pulmonary fibrosis is a severe complication in patients with SLE. Nonetheless, SLE-derived pulmonary fibrosis has unknown pathogenesis. Of pulmonary fibrosis, Idiopathic pulmonary fibrosis (IPF) is a typicality and deadly form. Aiming to investigate the gene signatures and possible immune mechanisms in SLE-derived pulmonary fibrosis, we explored common characters between SLE and IPF from Gene Expression Omnibus (GEO) database.

Results
We employed the weighted gene co-expression network analysis (WGCNA) to identify the shared genes. Two modules were significantly identified in both SLE and IPF, respectively. The overlapped 40 genes were selected out for further analysis. The GO enrichment analysis of shared genes between SLE and IPF was performed with ClueGO and indicated that p38MAPK cascade, a key inflammation response pathway, may be a common feature in both SLE and IPF. The validation datasets also illustrated this point. The enrichment analysis of common miRNAs was obtained from the Human microRNA Disease Database (HMDD) and the enrichment analysis with the DIANA tools also indicated that MAPK pathways’ role in the pathogenesis of SLE and IPF. The target genes of these common miRNAs were identified by the TargetScan7.2 and a common miRNAs-mRNAs network was constructed with the overlapped genes in target and shared genes to show the regulated target of SLE-derived pulmonary fibrosis. The result of CIBERSORT showed decreased regulatory T cells (Tregs), naïve CD4+ T cells and rest mast cells but increased activated NK cells and activated mast cells in both SLE and IPF. The target genes of cyclophosphamide were also obtained from the Drug Repurposing Hub and had an interaction with the common gene PTGS2 predicted with protein-protein interaction (PPI) and molecular docking, indicating its potential treatment effect.

Conclusions
This study originally uncovered the MAPK pathway, and the infiltration of some immune-cell subsets might be pivotal factors for pulmonary fibrosis complication in SLE, which could be used as potentially therapeutic targets. The cyclophosphamide may treat SLE-derived pulmonary fibrosis through interaction with PTGS2, which could be activated by p38MAPK.
Cancer Outcomes Among Prediabetes and Type 2 Diabetes Populations With Dietary and Physical Activity–based Lifestyle Interventions
Authors: Zhang Minghui , Zucatti Kelly Pozzer , Teixeira Paula Portal , Correia Poliana Espíndola , Wayerbacher Laura Fink , Spiazzi Bernardo F , Socal Mariana P , Boyko Edward J , Colpani Verônica , Gerchman Fernando 
Published: March 2023

Abstract

Context
People with type 2 diabetes (T2D) have higher risks of cancer incidence and death.

Objective
We aimed to evaluate the relationship between dietary and physical activity–based lifestyle intervention and cancer outcomes among prediabetes and T2D populations.

Methods
We searched for randomized controlled trials with at least 24 months of lifestyle interventions in prediabetes or T2D populations. Data were extracted by pairs of reviewers and discrepancies were resolved by consensus. Descriptive syntheses were performed, and the risk of bias was assessed. Relative risks (RRs) and 95% CIs were estimated using a pairwise meta-analysis with both a random-effects model and a general linear mixed model (GLMM). Certainty of evidence was evaluated using the Grading of Recommendations Assessment, Development, and Evaluation framework, and trial sequential analysis (TSA) was conducted to assess if current information is enough for definitive conclusions. Subgroup analysis was performed by glycemic status.

Results
Six clinical trials were included. Among 12 841 participants, the combined RR for cancer mortality comparing lifestyle interventions with usual care was 0.94 (95% CI, 0.81-1.10 using GLMM and 0.82-1.09 using random-effects model). Most studies had a low risk of bias, and the certainty of evidence was moderate. TSA showed that the cumulative Z curve reached futility boundary while total number did not reach detection boundary.

Conclusion
Based on the limited data available, dietary and physical activity–based lifestyle interventions had no superiority to usual care on reducing cancer risk in populations with prediabetes and T2D. Lifestyle interventions focused on cancer outcomes should be tested to better explore their effects.
A Novel In Vitro Assay Correlates Insulin Receptor Autoantibodies With Fasting Insulin in Type B Insulin Resistance
Authors: Minich Waldemar B , Abel Brent S , Schwiebert Christian , Welsink Tim , Seemann Petra , Brown Rebecca J , Schomburg Lutz 
Published: March 2023

Abstract

Context
Severe insulin resistance (IR) in the presence of insulin receptor autoantibodies (InsR-aAb) is known as type B insulin resistance (TBIR). Considerable progress in therapy has been achieved, but diagnosis and monitoring of InsR-aAb remains a challenge.

Objective
This work aimed to establish a robust in vitro method for InsR-Ab quantification.

Methods
Longitudinal serum samples from patients with TBIR at the National Institutes of Health were collected. A bridge-assay for InsR-aAb detection was established using recombinant human insulin receptor as bait and detector. Monoclonal antibodies served as positive controls for validation.

Results
The novel assay proved sensitive, robust, and passed quality control. The measured InsR-aAb from TBIR patients was associated with disease severity, decreased on treatment, and inhibited insulin signaling in vitro. Titers of InsR-aAb correlated positively to fasting insulin in patients.

Conclusion
Quantification of InsR-aAb from serum samples via the novel in vitro assay enables identification of TBIR and monitoring of successful therapy.