bluuebunny/crossref_metadata_2025_split huggingface dataset:
Majority of new patient referrals to a large pediatric rheumatology center result in non-rheumatic diagnosis
Authors: Reiff Daniel D , Bridges John M , Rife Eileen C , Gennaro Victoria L , McAllister Linda , Reed Annelle , Smith Carolyn , Walker Bethany , Weiser Peter , Smitherman Emily A , Stoll Matthew L , Mannion Melissa L , Cron Randy Q 
Published: October 2023

Abstract
Objective
Pediatric rheumatology faces a looming supply-demand crisis. While strategies have been proposed to address the supply shortfall, investigation into the increased demand for pediatric rheumatic care has been limited. Herein, we analyze new patient visits to a large tertiary care pediatric rheumatology center to identify emerging trends in referrals and areas for potential intervention to meet this increased demand.

Methods
All patients referred to and seen by the University of Alabama at Birmingham Pediatric Rheumatology Division between January 2019 and December 2021 for a new patient evaluation were identified. Patient data was retrospectively abstracted, de-identified, and analyzed to develop trends in referrals and frequency of rheumatic disease, non-rheumatic disease, and specific diagnoses.

Results
During the study period, 2638 patients were referred to and seen in by the pediatric rheumatology division. Six hundred and ten patients (23.1%) were diagnosed with rheumatic disease. The most common rheumatic disease was juvenile idiopathic arthritis (JIA) at 45.6%, followed by primary Raynaud phenomenon (7.4%), recurrent fever syndromes (6.9%), vasculitides (6.7%), and inflammatory eye disease (6.2%). Of the 2028 patients (76.9%) diagnosed with a non-rheumatic condition, benign musculoskeletal pain was the most common (61.8%), followed by a combination of somatic conditions (11.6%), and non-inflammatory rash (7.7%).

Conclusion
In this analysis of new patient referrals to a large pediatric rheumatology center, the majority of patients were diagnosed with a non-rheumatic condition. As a worsening supply-demand gap threatens the field of pediatric rheumatology, increased emphasis should be placed on reducing non-rheumatic disease referrals.
Can plant hormonomics be built on simple analysis? A review
Authors: Vrobel Ondřej , Tarkowski Petr 
Published: October 2023

AbstractThe field of plant hormonomics focuses on the qualitative and quantitative analysis of the hormone complement in plant samples, akin to other omics sciences. Plant hormones, alongside primary and secondary metabolites, govern vital processes throughout a plant's lifecycle. While active hormones have received significant attention, studying all related compounds provides valuable insights into internal processes. Conventional single-class plant hormone analysis employs thorough sample purification, short analysis and triple quadrupole tandem mass spectrometry. Conversely, comprehensive hormonomics analysis necessitates minimal purification, robust and efficient separation and better-performing mass spectrometry instruments. This review summarizes the current status of plant hormone analysis methods, focusing on sample preparation, advances in chromatographic separation and mass spectrometric detection, including a discussion on internal standard selection and the potential of derivatization. Moreover, current approaches for assessing the spatiotemporal distribution are evaluated. The review touches on the legitimacy of the term plant hormonomics by exploring the current status of methods and outlining possible future trends.
A randomized controlled trial of mindfulness: effects on university students’ mental health
Authors: Gallo Giovana Gonçalves , Curado Daniela Fernandez , Machado Mayra Pires Alves , Espíndola Marília Ignácio , Scattone Vitor Villar , Noto Ana Regina 
Published: October 2023

Abstract
Background
The development of mental health disorders is common in the university population, and mindfulness-based interventions (MBIs) seem to be effective in addressing them in different contexts. Thus, this study investigated the impact of an 8-week MBI adapted to university students from the Mindfulness-Based Relapse Prevention (MBSR) on different symptoms related to mental health problems, specifically symptoms of anxiety, depression, stress and insomnia.

Methods
University students (n = 136) were randomized into MBI group (n = 71) or wait-list group (n = 65). All participants completed self-administered questionnaires before and after the intervention, and the experimental group answered questionnaires weekly during intervention. Generalized mixed models were used to assess the effects of the intervention.

Results
There were improvements in the symptoms of stress (B = 5.76, p < 0.001), depression (B = 1.55, p < 0.01) and insomnia (B = 1.35, p = 0.020) from the beginning of the intervention to the final assessment when it was compared to the control group. No effect was found in respect of trait anxiety. The MBI was found to be effective in reducing important symptoms related to university students’ mental health, possibly grounding further research on the intervention’s potential of preventing the development of mental disorders.

Trial registration
The research was registered in the Brazilian Registry of Clinical Trials (ReBEC) - number RBR-63qsqx, approved at 09/16/2019.
Novel ultra-stretchable and self-healing crosslinked poly (ethylene oxide)-cationic guar gum hydrogel
Authors: Bernal-Chávez Sergio Alberto , Alcalá-Alcalá Sergio , Almarhoon Zainab M. , Turgumbayeva Aknur , Gürer Eda Sönmez , De Los Dolores Campos-Echeverria Ma. , Cortés Hernán , Romero-Montero Alejandra , Del Prado-Audelo María Luisa , Sharifi-Rad Javad , Leyva-Gómez Gerardo 
Published: October 2023

AbstractHydrogels are three-dimensional structures with specific features that render them useful for biomedical applications, such as tissue engineering scaffolds, drug delivery systems, and wound dressings. In recent years, there has been a significant increase in the search for improved mechanical properties of hydrogels derived from natural products to extend their applications in various fields, and there are different methods to obtain strengthened hydrogels. Cationic guar gum has physicochemical properties that allow it to interact with other polymers and generate hydrogels. This study aimed to develop an ultra-stretchable and self-healing hydrogel, evaluating the influence of adding PolyOX [poly(ethylene oxide)] on the mechanical properties and the interaction with cationic guar gum for potential tissue engineering applications. We found that variations in PolyOX concentrations and pH changes influenced the mechanical properties of cationic guar gum hydrogels. After optimization experiments, we obtained a novel hydrogel, which was semi-crystalline, highly stretchable, and with an extensibility area of approximately 400 cm2, representing a 33-fold increase compared to the hydrogel before being extended. Moreover, the hydrogel presented a recovery of 96.8% after the self-healing process and a viscosity of 153,347 ± 4,662 cP. Therefore, this novel hydrogel exhibited optimal mechanical and chemical properties and could be suitable for a broad range of applications in different fields, such as tissue engineering, drug delivery, or food storage.
Excretory/secretory products from Trichinella spiralis adult worms ameliorate myocardial infarction by inducing M2 macrophage polarization in a mouse model
Authors: Wu Lingqin , Yin Wenhui , Wen Jutai , Wang Shuying , Li Huihui , Wang Xiaoli , Zhang Weixiao , Duan Shuyao , Zhu Qiuyu , Gao Erhe , Wu Shili , Zhan Bin , Zhou Rui , Yang Xiaodi 
Published: October 2023

Abstract
Background
Ischemia-induced inflammatory response is the main pathological mechanism of myocardial infarction (MI)-caused heart tissue injury. It has been known that helminths and worm-derived proteins are capable of modulating host immune response to suppress excessive inflammation as a survival strategy. Excretory/secretory products from Trichinella spiralis adult worms (Ts-AES) have been shown to ameliorate inflammation-related diseases. In this study, Ts-AES were used to treat mice with MI to determine its therapeutic effect on reducing MI-induced heart inflammation and the immunological mechanism involved in the treatment.

Methods
The MI model was established by the ligation of the left anterior descending coronary artery, followed by the treatment of Ts-AES by intraperitoneal injection. The therapeutic effect of Ts-AES on MI was evaluated by measuring the heart/body weight ratio, cardiac systolic and diastolic functions, histopathological change in affected heart tissue and observing the 28-day survival rate. The effect of Ts-AES on mouse macrophage polarization was determined by stimulating mouse bone marrow macrophages in vitro with Ts-AES, and the macrophage phenotype was determined by flow cytometry. The protective effect of Ts-AES-regulated macrophage polarization on hypoxic cardiomyocytes was determined by in vitro co-culturing Ts-AES-induced mouse bone marrow macrophages with hypoxic cardiomyocytes and cardiomyocyte apoptosis determined by flow cytometry.

Results
We observed that treatment with Ts-AES significantly improved cardiac function and ventricular remodeling, reduced pathological damage and mortality in mice with MI, associated with decreased pro-inflammatory cytokine levels, increased regulatory cytokine expression and promoted macrophage polarization from M1 to M2 type in MI mice. Ts-AES-induced M2 macrophage polarization also reduced apoptosis of hypoxic cardiomyocytes in vitro.

Conclusions
Our results demonstrate that Ts-AES ameliorates MI in mice by promoting the polarization of macrophages toward the M2 type. Ts-AES is a potential pharmaceutical agent for the treatment of MI and other inflammation-related diseases.

Graphical Abstract
Association of triglyceride-glucose index with cardiovascular disease among a general population: a prospective cohort study
Authors: Wan Yiming , Zhang Ziliang , Ling Yong , Cui Hui , Tao Zihan , Pei Jianfeng , Maimaiti Aikedan , Bai Haifan , Wu Yiling , Li Jing , Zhao Genming , Zaid Maryam 
Published: October 2023

Abstract
Background
The impact of triglyceride-glucose (TyG) index, a surrogate marker for insulin resistance, on the risk of cardiovascular disease (CVD) in general populations remains controversial. We aimed to comprehensively study the relationship between TyG index with the risk of incident CVD events in the general population in Shanghai.

Methods
A total of 42,651 participants without previous history of CVD events from Shanghai Suburban Adult Cohort and Biobank (SSACB) were included. SSACB was a community-based natural population cohort study using multistage cluster sampling method. TyG index was calculated as Ln [fasting serum triglyceride (mg/dL) * fasting blood glucose (mg/dL)/2]. Kaplan-Meier curves, log-rank test and cox proportional hazards model were used to calculate the association between TyG index and incident CVD, including stroke and coronary heart disease (CHD). Restricted cubic spline analyses were used to determine whether there was a non-linear relationship between TyG index and CVD events.

Results
During a median follow-up of 4.7 years, 1,422 (3.3%) individuals developed CVD, including 674 (1.6%) cases of stroke and 732 (1.7%) cases of CHD. A one unit increment higher TyG index was associated with [HR(95%CI)] 1.16(1.04–1.29) in CVD and with 1.39(1.19–1.61) in stroke. Only linear relationships between TyG and CVD/stroke were observed, while no relationship was observed with CHD after adjustments for confounders. In subgroup analyses, younger (< 50y) and diabetic participants had higher risk of CVD than their counterpart groups, while hypertensive and dyslipidemic participants depicted lower risks than their counterparts.

Conclusion
Elevated TyG index was associated with a higher risk of incident CVD and stroke. TyG index may help in the early stage of identifying people at high risk of CVD.
Schatten class operators on exponential weighted Bergman spaces
Authors: Wang Xiaofeng , Xia Jin , Liu Youqi 
Published: October 2023

AbstractIn this paper, we study Toeplitz and Hankel operators on exponential weighted Bergman spaces. For $0< p<\infty $
0
<
p
<
∞
, we obtain sufficient and necessary conditions for Toeplitz and Hankel operators to belong to Schatten-p class by the averaging functions of symbols. For a continuous increasing convex function h, the Schatten-h class Toeplitz and Hankel operators are also characterized.
Designing and evaluating a big data analytics approach for predicting students’ success factors
Authors: Fahd Kiran , Miah Shah J. 
Published: October 2023

AbstractReducing student attrition in tertiary education plays a significant role in the core mission and financial well-being of an educational institution. The availability of big data source from the Learning Management System (LMS) can be analysed to help with the attrition issues. This study aims to use an integrated Design Science Research (DSR) methodology to develop and evaluate a novel Big Data Analytical Solution (BDAS) as an educational decision support artefact. The BDAS as DSR artefact utilises Artificial Intelligence (AI) approaches to predict potential students at risk. Identifying students at risk helps to take timely intervention in the learning process to improve student academic progress for increasing their retention rate. To evaluate the performance of the predictive model, we compare the accuracy of the collection of representational AI algorithms in the literature. The study utilized an integrated DSR methodology founded on the similarities of DSR and design based research (DBR) to design and develop the proposed BDAS employing an specific evaluation framework that works on real data scenarios. The BDAS does not only aimto replace any existing practice but also support educators to implement a variety of pedagogical practices for improving students’ academic performance.
Stepwise integration of analytical hierarchy process with machine learning algorithms for landslide, gully erosion and flash flood susceptibility mapping over the North-Moungo perimeter, Cameroon
Authors: Mfondoum Alfred Homère Ngandam , Nguet Pauline Wokwenmendam , Seuwui Dieudonné Tchokona , Mfondoum Jean Valéry Mefire , Ngenyam Henry Bang , Diba Ibrahima , Tchindjang Mesmin , Djiangoue Bertin , Mihi Ali , Hakdaoui Sofia , Batcha Roseline , Tchatchouang Frédéric Chamberlain Lounang , Petcheu Igor Casimir Njombissie , Beni Luc Moutila 
Published: October 2023

Abstract
Background
The Cameroon Volcanic Line (CVL) is an oceanic-continental megastructure prone to geo-hazards, including landslide/mudslide, gully erosion and flash floods targeted in this paper. Recent geospatial practices advocated a multi-hazard analysis approach supported by artificial intelligence. This study proposes the Multi-Geoenvironmental Hazards Susceptibility (MGHS) tool, by combining Analytical Hierarchy Process (AHP) with Machine Learning (ML) over the North-Moungo perimeter (Littoral Region, Cameroon).

Methods
Twenty-four factors were constructed from satellite imagery, global geodatabase and fieldwork data. Multicollinearity among these factors was quantified using the tolerance coefficient (TOL) and variance inflation factor (VIF). The AHP coefficients were used to weigh the factors and produce a preliminary map per Geoenvironmental hazard through weighted linear combination (WLC). The sampling was conducted based on events records and analyst knowledge to proceed with classification using Google Earth Engine (GEE) cloud computing interface. Classification and Regression Trees (CART), Random Forest (RF) and Gradient Boosting Regression Trees (GBRT), were used as basic learners of the stacked hazard factors, whereas, Support Vector Regression (SVR), was used for a meta-learning.

Results
The rainfall was ranked as the highest triggering factor for all Geoenvironmental hazards according to AHP, with a coefficient of 1, while the after-learning importance assessment was more varied. The area under receiver operating characteristic (AUROC/AUC) was always more than 0.96, and F1-score is between [0.86–0.88] for basic classifiers. Landslides, gully erosion and flash floods showed different spatial distributions, confirming then their probability of co-occurrence. MGHS outputs clearly displayed two and three simultaneous occurrences. Finally, the human vulnerability assessed with population layer and SVR outputs showed that high human concentrations are also the most exposed, using the example of Nkongsamba’s extract.

Conclusions
Combining AHP with single learners, then a meta-learner, was efficient in modelling MGHS and related human vulnerability. Interactions among geo-environmental hazards are the next step and city councils are recommended to integrate results in the planning process.
Application and prospects of AI-based radiomics in ultrasound diagnosis
Authors: Zhang Haoyan , Meng Zheling , Ru Jinyu , Meng Yaqing , Wang Kun 
Published: October 2023

AbstractArtificial intelligence (AI)-based radiomics has attracted considerable research attention in the field of medical imaging, including ultrasound diagnosis. Ultrasound imaging has unique advantages such as high temporal resolution, low cost, and no radiation exposure. This renders it a preferred imaging modality for several clinical scenarios. This review includes a detailed introduction to imaging modalities, including Brightness-mode ultrasound, color Doppler flow imaging, ultrasound elastography, contrast-enhanced ultrasound, and multi-modal fusion analysis. It provides an overview of the current status and prospects of AI-based radiomics in ultrasound diagnosis, highlighting the application of AI-based radiomics to static ultrasound images, dynamic ultrasound videos, and multi-modal ultrasound fusion analysis.
A method for TAT-Cre recombinase-mediated floxed allele modification in ex vivo tissue slices
Authors: Cheong Sek-Shir , Luis Tiago C. , Stewart Michelle , Hillier Rosie , Hind Matthew , Dean Charlotte H. 
Published: October 2023

ABSTRACT
Precision-cut lung slices (PCLS) are used for a variety of applications. However, methods to manipulate genes in PCLS are currently limited. We developed a new method, TAT-Cre recombinase-mediated floxed allele modification in tissue slices (TReATS), to induce highly effective and temporally controlled gene deletion or activation in ex vivo PCLS. Treatment of PCLS from Rosa26-flox-stop-flox-EYFP mice with cell-permeant TAT-Cre recombinase induced ubiquitous EYFP protein expression, indicating successful Cre-mediated excision of the upstream loxP-flanked stop sequence. Quantitative real-time PCR confirmed induction of EYFP. We successfully replicated the TReATS method in PCLS from Vangl2flox/flox mice, leading to the deletion of loxP-flanked exon 4 of the Vangl2 gene. Cre-treated Vangl2flox/flox PCLS exhibited cytoskeletal abnormalities, a known phenotype caused by VANGL2 dysfunction. We report a new method that bypasses conventional Cre-Lox breeding, allowing rapid and highly effective gene manipulation in ex vivo tissue models.
Universal Matter Synthesis and Management via Constructive Resonance: Pioneering Advancements in Physical Sciences and Applied Systems
Authors: Bhushan Sanjay 
Published: October 2023

Constructive resonance, a fundamental phenomenon observed across various scales, plays a pivotal role in both quantum and astrophysical realms. This study delves into the dynamic intricacies of constructive resonance, exploring its implications for matter creation and the origin of force-fields like gravity. It posits that constructive wave couplings between fundamental particles induce a resonant attractive force akin to gravity at the subatomic level, conserving energy within the system. We conceptualize space-time as an interconnected fabric encoding linear and non-linear patterns within an Information Field, revealing interactions between fundamental particles as 'Constructive Resonance Waves,' giving rise to the material universe. Cosmic Information (CI) is introduced as a fundamental basis vector, tied to the dimensions of space and time, culminating in a 5-D universe. This paper introduces a novel theoretical framework encompassing Constructive Resonance and the parametrically represented by to offer a dynamic perspective on fundamental forces. By integrating these concepts into existing theories, we unveil a fresh understanding of gravity, electromagnetism, and other forces. The RIIFF© framework, expressed as , elucidates how forces vary over time and space due to resonant interactions, providing a foundation for future research into the dynamic nature of the cosmos.
Women and Family Members’ Views Regarding Early Decisions about Breast Cancer Treatment: A Qualitative Study
Authors: Wan Mamat Wan Hasliza , Jarrett Nikki , Hairulisa@Mohd Hairi Nur Alia , Ahmad Norfadzilah , Atan Ashikin , Lund Susi 
Published: October 2023

Background: Conventional or hospital treatment such as surgery, chemotherapy, or radiotherapy is widely recommended by health care providers for treating breast cancer. Early decision in conventional treatment is a complex phenomenon that requires careful consideration of the medical condition, available information, potential risk, financial, job, and involvement of family members. However, there is an inadequate understanding of early decisions about conventional treatment in Malaysia. Purpose: This study aimed to explore the early decisions about breast cancer treatment among women and their family members.Methods: This study employed a qualitative, narrative approach. Purposive and snowball sampling were applied, and 28 participants were recruited for this study. The participants took part in in-depth, face-to-face, and audio-recorded one-time interviews. All interviews were subsequently transcribed verbatim and analysed using narrative analysis.Results: This study identified two themes regarding early decisions about breast cancer treatment: (1) women and family members who accepted immediate conventional treatment, and (2) women and family members who refused immediate conventional treatment. This study discovered that some women and family members agreed to undergo conventional treatment immediately due to following doctors’ advice, influence by other patients with breast cancer, personal attitude, and appropriate knowledge concerning breast cancer. Meanwhile, other women refused it due to fear, not ready to undergo treatment, influenced by other people and socio-culture template. The unique finding in this study is the presence of specific socio-cultural templates related to breast cancer.Conclusion: This study highlights that health care providers can assist women who decline breast cancer treatment by offering education about conventional treatment options. This can be achieved by providing accurate information about the treatment, addressing treatment-related fears, providing emotional support, and encouraging open communication regarding the reasons for refusing conventional treatment.