bluuebunny/crossref_metadata_2025_split huggingface dataset:
Economic burden of chronic migraine in OECD countries: a systematic review
Authors: Eltrafi Alyaa , Shrestha Sunil , Ahmed Ali , Mistry Hema , Paudyal Vibhu , Khanal Saval 
Published: September 2023

Abstract
Background
Chronic migraine (CM) is a significant neurological condition affecting a substantial portion of the global population. The economic burden of CM includes both direct healthcare costs and indirect costs resulting from productivity losses and intangible impacts on patients’ quality of life. However, there is limited research that comprehensively evaluates all cost components associated with CM, highlighting the need for a systematic review.

Methods
We conducted a systematic literature search in databases including MEDLINE, Embase, and CINAHL to identify studies estimating the cost of illness of chronic migraines. The search was restricted to English language articles published from inception to October 2021, and only findings from Organisation for Economic Co-operation and Development (OECD) countries were included. Methodology features and key findings were extracted from the studies, and reported costs were converted to GBP for cross-country comparisons.

Results
Thirteen cost-of-illness studies on CM from various OECD countries were included in this review. The studies demonstrated substantial variations in monetary estimates, but consistently highlighted the considerable economic burden of CM. Direct costs, particularly hospitalisation and medication expenses, were identified as the highest contributors. However, indirect costs, such as productivity losses due to absenteeism and presenteeism, were often underexplored in the reviewed studies. Additionally, intangible costs related to emotional and social impacts on patients were largely overlooked.

Conclusion
Chronic migraine imposes a significant economic burden on individuals, healthcare systems, and society. Policymakers and healthcare stakeholders should consider both direct and indirect cost components, as well as intangible costs, in developing targeted strategies for effective CM management and resource allocation. Further research focusing on comprehensive cost assessments and sensitivity analyses is needed to enhance the understanding of CM’s economic implications and inform evidence-based healthcare policy decisions. Addressing these research gaps can alleviate the economic burden of CM and improve patient outcomes.
Correction to: On statistical convergence and strong Cesàro convergence by moduli
Authors: León-Saavedra Fernando , Listán-García M. del Carmen , Pérez Fernández Francisco Javier , Romero de la Rosa María del Pilar 
Published: September 2023

AbstractWe correct a logic mistake in our paper “On statistical convergence and strong Cesàro convergence by moduli” (León-Saavedra et al. in J. Inequal. Appl. 23:298, 2019).
Qualitative insights from a randomized clinical trial of a mother–child emotional preparation program for preschool-aged children
Authors: Markowitz Elizabeth S. , Maier Malia C. , Ludwig Robert J. , Austin Judy , Maybach Anna M. , Jaffe Marc E. , Welch Martha G. 
Published: September 2023

Abstract
Background
Early life stress and adversity conveys risk for emotional, behavioral, and developmental disorders. To address this risk in the preschool population, Mother–Child Emotional Preparation (MCEP) was tested as an in-school dyadic intervention for facilitating mother–child emotional connection through mother–child calming cycles. In a computer-generated block randomized controlled trial enrolling preschool-aged children and their mothers, in partnership with an early childhood learning center, we at Columbia University Irving Medical Center tested effects of MCEP across multiple domains. Within this RCT we designed a qualitative sub-study to understand how MCEP aligns with calming cycle theory and its impact on mothers and the mother–child relationship.

Methods
A qualitative researcher observed 14 group MCEP sessions consisting of nurture specialists facilitating reciprocal calming interactions through shared emotional expression between mothers and their preschool-aged children. We conducted two waves of participant interviews in English or Spanish, per participant preference. Participants (n = 8) were majority Hispanic at or below the federal poverty level. Group session observations were coded and analyzed for frequency, co-occurrence, variance by session, and alignment with calming cycle theory, incorporating demographic variables and attendance. Interview transcripts were translated from Spanish to English if needed, then coded and analyzed using thematic analysis.

Results
Qualitative analysis revealed mothers’ experiences of MCEP. Data demonstrated that calming position and emotional expression were mutually supportive, and that barriers to connection were calming cycle entry-points, not barriers. At the group level, supported by nurture specialists, fellow participants helped each other progress through calming cycles. Moreover, MCEP adapted to meet individual dyad needs, and mothers described its far-reaching impact.

Conclusions
Qualitative methods show that MCEP helps mother–child dyads emotionally connect through the calming cycle and fills a gap in early childhood education services. This study generated insights for quantitative studies and suggested implications for MCEP dissemination.

Trial registration
ClinicalTrials.gov, NCT03908268, Registered April 9, 2019—Retrospectively registered.
Health-related quality of life and its related factors in patients with systemic lupus erythematosus in southwest Iran: a cross-sectional study
Authors: Hashemi Sakineh , Farahbakhsh Sahar , Aghakhani Zahra , MomayezanMarnani Ali , Hemati Nazi , Hashemi Somayeh 
Published: September 2023

Abstract
Background
Quality of life (QoL) is an important measure in health assessment. It is impacted by unclear factors in Systemic Lupus Erythematosus (SLE) patients. The study aimed to investigate the factors related to QoL in SLE patients.

Methods
This cross-sectional study was performed on 140 (136 women and four men) Iranian SLE patients of Hafiz Hospital from June 2019 to August 2020. The Lupus Erythematosus Quality of Life Questionnaire (LEQoL) was used to evaluate the quality of life. The patients were evaluated with this questionnaire for four weeks in eight dimensions health, emotional health, body image, pain, planning, intimate relationships, and the burden of others. Related factors of LEQoL were evaluated using multivariable linear regression.

Results
The mean age was 34.09(8.96) years. The total mean QoL Score was 65.5 ± 22.4. The multivariable analysis showed that duration of disease (β:-1.12, 95% CI:-1.44 to -0.79, P:0.001), physical activity(β:-12.99, 95% CI:-19.2 to -6.13, P:0.001), kidney involvement (β:-9.2, 95% CI:-16.61 to -2.79, P:0.03) and skin involvement(β:-8.7, 95% CI:-17.2 to -0.2, P:0.031) were significantly related to the total mean QOL score of SLE patients.

Conclusion
The QoL of Iranian patients with SLE was low. Age and gender can be related to the decrease in the QoL of patients with SLE. Increasing the disease duration, physical activity, kidney involvement, and skin involvement can be related to the decrease in the QOL of Iranian patients with SLE.
Deep features fusion for KCF-based moving object tracking
Authors: Maharani Devira Anggi , Machbub Carmadi , Yulianti Lenni , Rusmin Pranoto Hidaya 
Published: September 2023

AbstractReal-time object tracking and occlusion handling are critical research areas in computer vision and machine learning. Developing an efficient and accurate object-tracking method that can operate in real-time while handling occlusion is essential for various applications, including surveillance, autonomous driving, and robotics. However, relying solely on a single hand-crafted feature results in less robust tracking. As a hand-crafted feature extraction technique, HOG effectively detects edges and contours, which is essential in localizing objects in images. However, it does not capture fine details in object appearance and is sensitive to changes in lighting conditions. On the other hand, the grayscale feature has computational efficiency and robustness to changes in lighting conditions. The deep feature can extract features that express the image in more detail and discriminate between different objects. By fusing different features, the tracking method can overcome the limitations of individual features and capture a complete representation of the object. The deep features can be generated with transfer learning networks. However, selecting the right network is difficult, even in real-time applications. This study integrated the deep feature architecture and hand-crafted features HOG and grayscale in the KCF method to solve this problem. The object images were obtained through at least three convolution blocks of transfer learning architecture, such as Xception, DenseNet, VGG16, and MobileNet. Once the deep feature was extracted, the HOG and grayscale features were computed and combined into a single stack. In the KCF method, the stacked features acquired the actual object location by conveying a maximum response. The result shows that this proposed method, especially in the combination of Xception, grayscale, and HOG features, can be implemented in real-time applications with a small center location error.
Model selection with baryonic acoustic oscillations in the Lyman-α forest
Authors: Melia F. 
Published: September 2023

Abstract
The recent release of the final, complete survey of Lyman-α baryonic acoustic oscillation measurements provides the most significant and accurate data base for studying cosmic geometry at an effective redshift

, which is inaccessible to other sources. In this paper, we use these data to select among four distinct cosmologies: Planck ΛCDM, the

universe, the Milne universe and the Einstein-de Sitter universe. Given the breadth and depth of the Lyman-α study, this BAO measurement alone provides a strong model comparison, complementary to previous studies that combined Lyman-α data with measurements at lower redshifts. Though both approaches are useful, the latter tends to dilute the disparity between model predictions and the observations. We therefore examine how the models compare to each other strictly based on the BAO scale measured in the Lyman-α forest and background quasars. We find that the Milne universe and the Einstein-de Sitter universe are strongly ruled out by these data. There is also strong evidence disfavoring the standard model. The Lyman-α measurements are completely consistent with the cosmic geometry predicted by

. As such, evidence continues to grow that the zero active mass condition from general relativity ought to be an essential ingredient in ΛCDM.
Prognostic Impact of Tumor-Infiltrating Lymphocytes, Tertiary Lymphoid Structures, and Neutrophil-to-Lymphocyte Ratio in Pulmonary Metastases from Uterine Leiomyosarcoma
Authors: Matsuda Naoki , Yamamoto Hiromasa , Habu Tomohiro , Iwata Kazuma , Matsubara Kei , Tanaka Shin , Hashimoto Kohei , Shien Kazuhiko , Suzawa Ken , Miyoshi Kentaroh , Toji Tomohiro , Okazaki Mikio , Sugimoto Seiichiro , Takahashi Katsuhito , Toyooka Shinichi 
Published: September 2023

Abstract
Background
The presence of tumor-infiltrating lymphocytes (TILs) and tertiary lymphoid structures (TLSs) in tumor tissue has been related to the prognosis in various malignancies. Meanwhile, neutrophil-to-lymphocyte ratio (NLR) as a systemic inflammation marker also has been associated with the prognosis in them. However, few reports have investigated the relationship between pulmonary metastases from sarcoma and these biomarkers.

Methods
We retrospectively recruited 102 patients undergoing metastasectomy for pulmonary metastases from uterine leiomyosarcoma at Okayama University Hospital from January 2006 to December 2019. TILs and TLSs were evaluated by immunohistochemical staining of surgically resected specimens of pulmonary metastases using anti-CD3/CD8/CD103/Foxp3/CD20 antibodies. NLR was calculated from the blood examination immediately before the most recent pulmonary metastasectomy. We elucidated the relationship between the prognosis and these factors. Because we considered that the status of tumor tissue and systemic inflammation were equally valuable, we also assessed the impact of the combination of TILs or TLSs and NLR on the prognosis.

Results
As for TILs, CD3-positive cells and CD8-positive cells were correlated with the prognosis. The prognosis was significantly better in patients with CD3-high group, CD8-high group, TLSs-high group, and NLR-low group, respectively. The prognosis of CD8-high/NLR-low group and TLSs-high/NLR-low group was significantly better than that of CD8-low/NLR-high group and TLSs-low/NLR-high group, respectively.

Conclusions
CD3-positive TILs, CD8-positive TILs, TLSs, and NLR are correlated with the prognosis, respectively. The combination of CD8-positive TILs or TLSs and NLR may be the indicators to predict the prognosis of patients with pulmonary metastases from uterine leiomyosarcoma.
EncephalApp Stroop Test for covert hepatic encephalopathy screening in Tunisian cirrhotic patients
Authors: Hamzaoui Lamine , Mahmoudi Moufida , Mohamed Ghanem , Elloumi Hanene , Laabidi Asma , Boubaker Jalel , Boudabbous Mona , Tahri Nabil , Jemni Imen , Safer Leila , Jomni Taieb , Douggui Hedi , Trad Dorra , Gargouri Dalila , Ayadi Shema , Debbeche Radhouane , Belhouchet Sami , Marouani Ridha , Cheikh Imed , Abdelli Mohamed Nabil 
Published: September 2023

Background: Covert hepatic encephalopathy (CHE) is underdiagnosed and is difficult to detect. The EncephalApp Stroop test is validated for its screening. The aim of the study was to define Tunisian norms for the test based on healthy controls norms and to estimate the prevalence of CHE in cirrhotic Tunisian patients. Methods: A prospective, multicenter, cross‐sectional study was conducted. Ambulatory or hospitalized cirrhotic patients aged 40 years and over were recruited at 11 centers. Healthy subjects aged 40 years and over were recruited at 8 centers. We used a translated Arabic version of the streamlined EncephalApp Stroop test. The task has two components: “Off” and “On” state depending on the discordance or concordance of the stimuli. Results: 142 patients were included. The mean age was 57.26 years [40–86]. 40 (28.17%) of cirrhotic patients who were included were diagnosed as having a minimal hepatic encephalopathy or CHE. Among the ineligible patients, 22 had overt hepatic encephalopathy. If we consider these patients, the overall prevalence rate of CHE was around 24.39% in cirrhotic patients. It was more frequent in women (34.21% vs 25.96%), and in patients whose level of school education is between 6 and 13 years. Its prevalence does not appear to be affected by gender, MELD score, etiology of cirrhosis and age group of patients, as these variables were independent with respective p according to the chi-square test 0.413; 0.736; 0.663 and 0.1. The stroop times (On / Off and On + Off) correlated significantly with each other, are associated significantly and positively with age (respective Pearson coefficients: 0.578; 0.567 and 0.6). The more the age increases, the more the stroop response times increases (p > 10-3). Conclusions: EncephalApp Stroop test was an efficient screening tool for CHE in Tunisian cirrhotic patients.
Comparative Evaluation of Mechanical Properties and Bond Strength of Glass Ionomer Cement reinforced with three different concentrations of Silver Nanoparticles as against Conventional Glass Ionomer Cement in Primary Teeth.
Authors: Kanani Harikishan , Khubchandani Monika 
Published: September 2023

Introduction: Restorative dental materials are defined as substances that are used to repair, replace, or enhance a patient's teeth. Various materials used in paediatric dentistry are zinc oxide eugenol, glass ionomer cement, resin composite, calcium hydroxide, silver amalgam, giomers etc. GIC is a biocompatible material having a low thermal expansion coefficient and fluoride release property. There are still a few drawbacks of GIC due of their poor mechanical properties therefore addition of Silver Nanoparticles demonstrated improved mechanical and bactericidal capabilities. There hasn't been much study on the quality of the bond contact between silver nanoparticles and dentin, as well as the color's durability. Aim: To evaluate and compare the mechanical properties and bond strength of Glass ionomer cement reinforced with three different concentrations of silver nanoparticle as against conventional glass ionomer cement in primary Teeth. Materials and Method: Silver nanoparticles will be prepared using three chemicals namely, silver nitrate, sodium citrate and tannic acid. Traditional GIC (GC Fuji II, GC Corporation, Tokyo, Japan) will be purchased. Three different concentrations of silver nanoparticles will be prepared i.e., 0.2, 0.4, and 0.6%. The GIC specimens will then be divided into 4 groups: GIC without silver nanoparticles (AgNPs),0.2%,0.4% and 0.6% AgNPs. Mechanical properties will be checked such as compressive, tensile, and bond strength using Universal Testing Machine. Expected Results: GIC reinforced with silver nano particles is expected to have better mechanical strength, less microleakage and wear resistance, greater fracture resistance and adhesive bond strength. Conclusion: GIC reinforced with silver nano particles will be expected to have better mechanical and physical properties than conventional Type II GICs and is expected to be a promising material for restoration in primary teeth.
Lessons learned: overcoming common challenges in reconstructing the SARS-CoV-2 genome from short-read sequencing data via CoVpipe2
Authors: Lataretu Marie , Drechsel Oliver , Kmiecinski René , Trappe Kathrin , Hölzer Martin , Fuchs Stephan 
Published: September 2023

Background: Accurate genome sequences form the basis for genomic surveillance programs, the added value of which was impressively demonstrated during the COVID-19 pandemic by tracing transmission chains, discovering new viral lineages and mutations, and assessing them for infectiousness and resistance to available treatments. Amplicon strategies employing Illumina sequencing have become widely established for variant detection and reference-based reconstruction of SARS-CoV-2 genomes, and are routine bioinformatics tasks. Yet, specific challenges arise when analyzing amplicon data, for example, when crucial and even lineage-determining mutations occur near primer sites. Methods: We present CoVpipe2, a bioinformatics workflow developed at the Public Health Institute of Germany to reconstruct SARS-CoV-2 genomes based on short-read sequencing data accurately. The decisive factor here is the reliable, accurate, and rapid reconstruction of genomes, considering the specifics of the used sequencing protocol. Besides fundamental tasks like quality control, mapping, variant calling, and consensus generation, we also implemented additional features to ease the detection of mixed samples and recombinants. Results: Here, we highlight common pitfalls in primer clipping, detecting heterozygote variants, and dealing with low-coverage regions and deletions. We introduce CoVpipe2 to address the above challenges and have compared and successfully validated the pipeline against selected publicly available benchmark datasets. CoVpipe2 features high usability, reproducibility, and a modular design that specifically addresses the characteristics of short-read amplicon protocols but can also be used for whole-genome short-read sequencing data. Conclusions: CoVpipe2 has seen multiple improvement cycles and is continuously maintained alongside frequently updated primer schemes and new developments in the scientific community. Our pipeline is easy to set up and use and can serve as a blueprint for other pathogens in the future due to its flexibility and modularity, providing a long-term perspective for continuous support. CoVpipe2 is written in Nextflow and is freely accessible from https://github.com/rki-mf1/CoVpipe2 under the GPL3 license.
In silico molecular docking, ADME study and synthesis of new 1,3-diazetidin-2-one derivatives with high anti-proliferative activity
Authors: Abdulredha Farah Haidar , Mahdi Monther Faisal , Khan Ayad Kareem 
Published: September 2023

Background: Cancer and inflammation are strongly connected; tumor growth and spread are also greatly influenced by inflammation. Nitrogen-based heterocycle analogs are excellent suppliers of pharmaceuticals. Quaternary rings play a bigger role in drug development as bioactive scaffolds. For improved tolerance and synergistic benefits, heterocyclic nitrogen rings are present in many anticancer medications. Understanding how to bind to the EGFR and its prospective impacts on cancer cells, expect to construct new heterocyclic compounds that may help produce potent anticancer medicines with a high safety profile. Methods: Novel 1,3-diazetidin-2-one derivatives were designed, synthesized from mefenamic acid, and their cytotoxic activity against a lung cancer cell line (A549) was initially tested in vitro. These compounds were anchored to the crystal structure of the epidermal growth factor receptor (PDB code 1M17) in a molecular docking study to determine their binding affinity at the active site. The newly synthesized derivatives were verified and confirmed by elemental analysis and spectroscopic data (FT-IR, 1H-NMR, and 13C-NMR). In addition, physicochemical, drug-like, and toxicological predictions were performed for these derivatives. Results: Based on a molecular docking study, all compounds (M4a-e) demonstrated superior PLPfitness (84.70, 85.89, 91.90, 88.61, and 92.77, respectively) to erlotinib (76.20). The anti-proliferation evaluation of the A549 cell line revealed that compounds M4c and M4e had exceptional and promising anti-proliferative activity on this cell line to treat lung cancer, with IC50 values of 1.75 µm and 2.05 µm at 72 hours, respectively, making them significantly more active than the reference erlotinib, which had an IC50 value of 11.5 µm at 72 hours. Conclusions: The cytotoxicity investigation and the molecular docking study showed a robust association with the novel compounds (M4a-e). Suggest a comprehensive pharmacological survey to understand how these newly created chemicals combat cancer fully.