bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analysis of full and empty ratio of EV71 virus by using capillary zone electrophoresis
Authors: Wang Jie‐Ru , Chen Hong‐Xu , Liu Hua‐Qing , Yu Run , Jia Zeng , Zhang Ying , Li Jing 
Published: November 2023

AbstractHand, foot, and mouth disease is a serious public health problem, and the main pathogen is enterovirus 71 (EV71). Its capsid assembly mechanism including capsid protein processing has been widely studied. Full and empty capsids have different immunological efficacy. Therefore, tracking full/empty capsid ratio throughout the EV71 production process is important to ensure consistent product quality and proper dosing response. The analysis of full/empty capsid ratio of intact virus has been widely reported as well. A variety of techniques have been employed to evaluate the full/empty capsid ratios. However, there has not been a rapid, reproducible, and robust assay to determine the full/empty capsid ratios of final and in‐process products. In this study, a novel assay based on capillary zone electrophoresis was established. The separation of full and empty species could be achieved within 10 min and the ratio of peak areas was used to calculate the full/empty capsid ratio directly. The results showed good reproducibility and linearity for the determination of full/empty capsid ratios.
The DC–T cell axis is an effective target for the treatment of non‐small cell lung cancer
Authors: Wang Shuangcui , Zhang Guan , Cui Qian , Yang Yanjie , Wang Dong , Liu Aqing , Xia Ying , Li Wentao , Liu Yunhe , Yu Jianchun 
Published: November 2023

AbstractThe dendritic cell (DC)‐T cell axis is a bridge that connects innate and adaptive immunities. The initial immune response against tumors is mainly induced by mature antigen‐presenting DCs. Enhancing the crosstalk between DCs and T cells may be an effective approach to improve the immune response to non‐small cell lung cancer (NSCLC). In this article, a review was made of the interaction between DCs and T cells in the treatment of NSCLC and how this interaction affects the treatment outcome.
Exploring factors influencing patient activation in Saudi rheumatoid arthritis patients: A Nationwide Cross‐Sectional Survey—Results from the COPARA study
Authors: Almalag Haya M. , Alshehri Maha M. , Altokhais Nouf A. , Aljanobi Ghada A. , Dessougi Maha I. El , AlHarthi Amal , Omair Maha A. , Attar Suzan M. , Bahlas Sami M. , Alfurayj Abdullah S. , Alazmi Mansour S. , Asiri Alhussain M. , AlOmair Mohammed M. , Al Juffali Lobna I. , Omair Mohammed A. 
Published: November 2023

AbstractObjectivesTo evaluate patient activation in rheumatoid arthritis (RA) patients using patient activation measure 13 (PAM‐13) on a national level in Saudi Arabia.MethodA national survey was administered across multiple centers in Saudi Arabia. Patient activation was assessed using the PAM‐13. The Compliance Questionnaire for Rheumatology (CQR) and the RA Impact of Disease (RAID) tool were also administered. The data from the survey were analyzed, and the results were stratified based on activation level. All factors affecting patient activation were explored and reported.ResultsA total of 1241 participants were included. Most of the patients were females (85%), the mean age was 47 (±14), and most patients lived in the central region (47%). The mean (±standard deviation) patient activation score was 578.7 (±13.0). Patient activation was affected by multiple factors: demographic characteristics, such as education, with a beta value of 1.11 (95% confidence interval [CI] 0.64 ̶1.58, p < .001). Higher CQR scores were associated with higher activation levels, with a beta value of 2.61 (95% CI 0.80 ̶4.44, p = .005), and higher RAID scores were associated with lower activation levels, with a beta value of 3.13 (95% CI 1.36 ̶4.91, p = .001).ConclusionsPatient activation was affected by several demographic characteristics and the impact of RA. A higher activation may improve compliance. Future longitudinal studies are required to confirm these findings and should explore the underlying mechanism of these effects.
FinTech innovation, stability and efficiency: Evidence from Malaysian bank industry
Authors: Ahmad Rubi , Xie Changqian , Wang Panpan , Liu Biao , Zainir Fauzi , Mohsin Magda Ismail Abdel 
Published: November 2023

AbstractThe rapid development of digital finance is reshaping the business model of the traditional bank industry and bringing challenges to it as well. Based on an unbalanced panel of data constructed by 36 banks in Malaysia from 2006 to 2020, this study examines the impact of financial technology on banks' stability and efficiency. We find that, compared with Islamic banks, FinTech innovation significantly improves the stability of commercial banks. Additionally, it improves the entire sample banks' efficiency calculated by the data envelopment analysis‐Malmquist method, which can capture the efficiency changes from a dynamic perspective. These baseline results are affirmed by the generalized method of moment approach to mitigate potential endogeneity issues. Furthermore, the impacts of FinTech innovation on banks are heterogeneous. The high‐profit banks enjoy the benefits of improving their stability level from FinTech development. However, for the small‐sized and low‐profit banks, FinTech innovation contributes more to improving their efficiency. Our analysis provides empirical evidence for Malaysia and similar developing countries that are receptive to FinTech development but have relatively less advanced technology infrastructure. It can also shed light on the FinTech investment decisions of bank management.
Functional TET2 gene polymorphisms increase the risk of neuroblastoma in Chinese children
Authors: Lin Lei , Wang Bo , Zhang Xinxin , Deng Changmi , Zhou Chunlei , Zhu Jinhong , Wu Haiyan , He Jing 
Published: November 2023

AbstractThe 5‐methylcytosine (m5C) is the key chemical modification in RNAs. As one of the demethylases in m5C, TET2 has been shown as a tumor suppressor. However, the impact of TET2 gene polymorphisms on neuroblastoma has not been elucidated. 402 neuroblastoma patients and 473 controls were genotyped for TET2 gene polymorphisms using the TaqMan method. The impact of TET2 gene polymorphisms on neuroblastoma susceptibility was determined using multivariate logistic regression analysis. We also adopted genotype‐tissue expression database to explore the impact of TET2 gene polymorphisms on the expression of host and nearby genes. We used the R2 platform and Sangerbox tool to analyze the relationship between gene expression and neuroblastoma risk and prognosis through non‐parametric testing and Kaplan–Meier analysis, respectively. We found the TET2 gene polymorphisms (rs10007915 G > C and rs7670522 A > C) and the combined 2–5 risk genotypes can significantly increase neuroblastoma risk. Stratification analysis showed that these significant associations were more prominent in certain subgroups. TET2 rs10007915 G > C and rs7670522 A > C are significantly associated with reduced expression of TET2 mRNA. Moreover, lower expression of TET2 gene is associated with high risk, MYCN amplification, and poor prognosis of neuroblastoma. The rs10007915 G > C and rs7670522 A > C are significantly related to the increased expression of inorganic pyrophosphatase 2 mRNA, and higher expression of PPA2 gene is associated with high risk, MYCN amplification, and poor prognosis of neuroblastomas. In summary, TET2 rs10007915 G > C and rs7670522 A > C significantly confer neuroblastoma susceptibility, and further research is needed to investigate the underlying mechanisms.
Evaluation of antipsychotic monitoring in a community health center during the COVID‐19 pandemic
Authors: LeMere Kaylie , Madore Jesse , Silvia Richard 
Published: November 2023

AbstractBackgroundThe coronavirus disease 2019 (COVID‐19) pandemic complicated providers' ability to appropriately monitor patients on antipsychotic medications, as visits moved to telehealth. Adverse metabolic and movement effects can be difficult to assess virtually, reducing adherence to national antipsychotic guidelines. This review was conducted to evaluate provider adherence to antipsychotic medication monitoring during the COVID‐19 pandemic, educate providers on the proper antipsychotic monitoring methods, and then reassess adherence to guidelines.MethodsThis was a retrospective chart review of patients receiving antipsychotics from mental health (MH) and primary care (PC) providers consisting of three phases. Providers prescribing antipsychotics between June 1, 2021, and June 1, 2022, were included in phase one. Patients were reviewed for relevant data including demographics, antipsychotic(s) prescribed, glucose, hemoglobin A1c, total cholesterol, low‐density lipoprotein (LDL), high‐density lipoprotein (HDL), triglycerides, weight/ body mass index (BMI), waist circumference, Abnormal Involuntary Movement Scale (AIMS), and other movement disorder assessments. Providers were then given an educational flyer outlining proper antipsychotic monitoring in October 2022 as phase two. During phase three, providers prescribing antipsychotics between October 1, 2022, and February 23, 2023, were included for review. Monitoring rates were compared to national antipsychotic guidelines, and adherence rates were calculated for each monitoring parameter. Comparisons between phase one and phase three were performed using Chi‐squares to determine statistically significant differences (p < 0.05).ResultsUnfortunately, most monitoring rates decreased from baseline to follow‐up. All metabolic parameters were statistically significantly lower in the follow‐up sample compared to the baseline sample. These differences were seen when comparing the overall sample as well as the MH and PC provider groups across time points. Movement disorder monitoring showed no statistically significant differences between timepoints, with one exception. Among PC providers, the rate of AIMS monitoring was significantly increased from baseline (0%) to follow‐up (11.1%, p = 0.000).ConclusionPharmacist passive education of clinicians alone did not provide a significant change in provider's adherence to antipsychotic monitoring.
Accelerated model‐based iterative reconstruction strategy for sparse‐view photoacoustic tomography aided by multi‐channel autoencoder priors
Authors: Song Xianlin , Zhong Wenhua , Li Zilong , Peng Shuchong , Zhang Hongyu , Wang Guijun , Dong Jiaqing , Liu Xuan , Xu Xiaoling , Liu Qiegen 
Published: November 2023

AbstractPhotoacoustic tomography (PAT) commonly works in sparse view due to data acquisition limitations. However, reconstruction suffers from serious deterioration (e.g., severe artifacts) using traditional algorithms under sparse view. Here, a novel accelerated model‐based iterative reconstruction strategy for sparse‐view PAT aided by multi‐channel autoencoder priors was proposed. A multi‐channel denoising autoencoder network was designed to learn prior information, which provides constraints for model‐based iterative reconstruction. This integration accelerates the iteration process, leading to optimal reconstruction outcomes. The performance of the proposed method was evaluated using blood vessel simulation data and experimental data. The results show that the proposed method can achieve superior sparse‐view reconstruction with a significant acceleration of iteration. Notably, the proposed method exhibits excellent performance under extremely sparse condition (e.g., 32 projections) compared with the U‐Net method, with an improvement of 48% in PSNR and 12% in SSIM for in vivo experimental data.
Cervical pre‐cancer classification using entropic features and CNN: In vivo validation with a handheld fluorescence probe
Authors: Deo Bhaswati Singha , Sah Amar Nath , Shukla Shivam , Pandey Kiran , Singh Sweta , Pal Mayukha , Panigrahi Prasanta K. , Pradhan Asima 
Published: November 2023

AbstractCervical cancer is one of the most prevalent forms of cancer, with a lengthy latent period and a gradual onset phase. Conventional techniques are found to be severely lacking in real time detection of disease progression which can greatly enhance the cure rate. Due to their high sensitivity and specificity, optical techniques are emerging as reliable tools, particularly in case of cancer. It has been seen that biochemical changes are better highlighted through intrinsic fluorescence devoid of interference from absorption and scattering. Its effectiveness in in‐vivo conditions is affected by the fact that the intrinsic spectral signatures vary from patient to patient, as well as in different population groups. Here, we overcome this limitation by collectively enumerating the subtle changes in the spectral profiles and correlations through an information theory based entropic approach, which significantly amplifies the minute spectral variations. In conjunction with artificial intelligence (AI)/machine learning (ML) tools, it yields high specificity and sensitivity with a small dataset from patients in clinical conditions, without artificial augmentation. We have used an in‐house developed handheld probe (i‐HHP) for extracting intrinsic fluorescence spectra of human cervix from 110 different subjects drawn from diverse population groups. The average classification accuracy of the proposed methodology using 10‐fold cross validation is 93.17%. A combination of polarised fluorescence spectra from i‐HHP and the proposed classifier is proven to be minimally invasive with the ability to diagnose patients in real time. This paves the way for effective use of relatively smaller sized sensitive fluorescence data with advanced AI/ML tools for early cervical cancer detection in clinics.
Reusing ceramic waste in fired brick and as cement additive
Authors: Zoqi Mohamad Javad , Doosti Mohammad Reza 
Published: November 2023

AbstractBACKGROUNDAlthough there has been considerable research on the utilization of ceramic and tile waste (CTW) in concrete production, there has been a noticeable lack of studies examining its application in fired brick manufacturing and the use of ceramic glaze powder as an additive in cement. The aim of this study is to assess the potential of reusing CTW as concrete aggregate and as part of fired brick composition. Furthermore, this research investigates the potential application of glaze powder as a novel cement additive, which has not been previously explored.RESULTSThe results indicate that bricks made from waste materials had a moisture absorption of 12.2% and flexural strengths ranging from 15.39 to 24.2 MPa. X‐ray diffraction analysis showed that quartz and kaolinite were the dominant crystalline phases in bricks made from raw glazed ceramic. The concentration of heavy metals in the toxicity characteristic leaching procedure leachate of the waste materials decreased after the firing process during the manufacturing of bricks due to oxidation, immobilization and encapsulation processes, with levels below standard limits. In concrete, the use of 20% ceramic glaze powder as a partial cement replacement resulted in a 55% increase in compressive strength. Additionally, the leaching of barium decreased by 70% and that of strontium decreased by 17%.CONCLUSIONThis study highlights the promising utilization of CTW in fired brick production and the effective incorporation of ceramic glaze powder as a cement additive. The findings suggest enhanced mechanical properties and decreased heavy metal leaching, indicating the viability of CTW reuse in sustainable construction practices. © 2023 Society of Chemical Industry (SCI).
Advanced cerebrospinal fluid flow MRI findings of aqueductal stenosis caused by web
Authors: Yilmaz Temel Fatih , Sari Lutfullah , Toprak Huseyin 
Published: November 2023

AbstractBackgroundThe aqueductal web (AW) is one of the causes of aqueductus stenosis (AS). Recent advances in Magnetic resonance (MR) imaging have enabled us to better reveal the cerebrospinal fluid (CSF) flow dynamics and aqueductal anatomy.PurposeThe aim of this study is to evaluate the CSF flow dynamics of patients with AW with phase contrast Magnetic resonance imaging (MRI) and compare them with the imaging findings.Materials and MethodsWe evaluated 23 patients under 65‐year‐old age. On constructive interference in steady‐state (T2 CISS) images, the width of prepontine cistern (PPC) and the width of Sylvian aqueduct (SA) were measured. Localization and number of webs were evaluated. The existence of flow at the aqueduct and the presence of spontaneous third ventriculostomy (STV) were evaluated on sagittal Sampling Perfection with Application optimized Contrast (SPACE) sequences.ResultsOf the 23 patients included in the study, 11 were male and 12 were female. The mean age was 34.02 (0.5–64). A total of 31 AWs were detected in 23 patients.Six of 23 patients (26.1%) had STV and 17 of those not. Four of 23 patients (17.4%) had aqueductal flow on SPACE sequences. The PPC distance was significantly wider in patients with STV (median: 6.7–4.5, interquartile range (IQR): 1.35, p = 0.004). In the cases where artifact secondary to flow is observed in SPACE sequences in aqueduct, the Evan index (EI) was significantly lower (median: 0.2955–0.3900, IQR: 0.03–0.14, p < 0.001).ConclusionIn patients with a low EI, there may be flow in the SA even if there is a web. In patients with a wide PPC distance, it is necessary to consider the presence of STV and evaluate the presence of flow with the SPACE sequences.
Correlation between theoretical knowledge and the difference between self‐ and teaching doctor‐assessment
Authors: Goob Janosch , Erdelt Kurt , Nold Ephraim , Liebermann Anja 
Published: November 2023

AbstractObjectivesThe right intuition for self‐assessment without overestimating or underestimating oneself compared to theoretical knowledge is a skill that requires conscious practice and is very often paradoxically opposed to the level of knowledge. Self‐assessment is an essential skill for dental professionals for lifelong learning and improvement. The objective of our study was to assess the correlation between theoretical knowledge and the difference between self‐ and teaching doctor‐assessment.MethodsThe app “digital course organizer” for organization and assessment was used for the self‐ and teaching doctor‐assessment of students for each day of patient treatment during the clinical courses at a university hospital. The difference between the self‐ and teaching doctor‐assessment was compared to the score of an initial theoretical written test at the beginning of the eighth semester to assess the correlation between overestimation or underestimation and theoretical knowledge.ResultsA total of 309 dental students over four semesters in the clinical study phase (fourth and fifth years; eighth and 10th semesters) participated in the investigation. The overall view of all values showed very low correlations (<0.2) of the assessment difference values of both practical courses for the initial written test.ConclusionThere were very low correlations between the initial written test (theoretical knowledge) and the difference between self‐ and teaching doctor‐assessment as well as no evidence of overestimation and underestimation.
Infantile epileptic spasm syndrome as a new NR2F1 gene phenotype
Authors: Liang Yan , Wan Lin , Liu Xinting , Zhang Jing , Zhu Gang , Yang Guang 
Published: November 2023

AbstractIntroductionNR2F1 pathogenetic variants are associated with the Bosch–Boonstra–Schaaf optic atrophy syndrome (BBSOAS). Recent studies indicate that BBSOAS patients not only have visual impairments but may also have developmental delays, hypotonia, thin corpus callosum and epileptic seizures. However, reports of BBSOAS occurrence along with infantile epileptic spasm syndrome (IESS) are rare.MethodsHere, we report three cases involving children with IESS and BBSOAS caused by de novo NR2F1 pathogenetic variants and summarize the genotype, clinical characteristics, diagnosis and treatment of them.ResultsAll three children experienced epileptic spasms and global developmental delays, with brain Magnetic Resonance Imaging (MRI) suggesting abnormalities (thinning of the corpus callosum or widened extracerebral spaces) and two of the children exhibiting abnormal visual evoked potentials.ConclusionsOur findings indicate that new missense NR2F1 pathogenetic variants may lead to IESS with abnormal visual evoked potentials. Thus, clinicians should be aware of the Bosch–Boonstra–Schaaf optic atrophy syndrome and regular monitoring of the fundus, and the optic nerve is necessary during follow‐up.
Cancer cell invasion alters the protein profile of extracellular vesicles
Authors: Luoto Jens C. , Coelho‐Rato Leila S. , Jungarå Cecilia , Bengs Sara H. , Roininen Jannica , Eriksson John E. , Sistonen Lea , Henriksson Eva 
Published: November 2023

AbstractExtracellular vesicles (EVs) are important mediators of intercellular communication involved in local and long‐range signalling of cancer metastasis. The onset of invasion is the key step of the metastatic cascade, but the secretion of EVs has remained unexplored at that stage due to technical challenges. In this study, we present a platform to track EVs over the course of invasive development of human prostate cancer cell (PC3) tumoroids utilizing in vivo‐mimicking extracellular matrix‐based 3D cultures. Using this EV production method, combined with proteomic profiling, we show that PC3 tumoroids secrete EVs with previously undefined protein cargo. Intriguingly, an increase in EV amounts and extensive changes in the EV protein composition were detected upon invasive transition of the tumoroids. The changes in EV protein cargo were counteracted by chemical inhibition of invasion. These results reveal the impact of the tumoroids’ invasive status on EV secretion and cargo, and highlight the necessity of in vivo‐mimicking conditions for uncovering novel cancer‐derived EV components.
Prognostic evaluation of the novel blueprint of DNA methylation sites by integrating bulk RNA‐sequencing and methylation modification data in endometrial cancer
Authors: Zhou Huanzhen , Zhang Yingzhi , Jin Jing , Shen Kewei , Yang Yang , Lao Peiwei 
Published: November 2023

AbstractIntroductionEndometrial cancer (EC) is a prevalent malignancy affecting the female population, with an increasing incidence among younger age groups. DNA methylation, a common epigenetic modification, is well‐established to play a key role in cancer progression. We suspected whether DNA methylation could be used as biomarkers for EC prognosis.MethodsIn the present study, we analyzed bulk RNA‐sequencing data from 544 EC patients and DNA methylation data from 430 EC patients in the TCGA‐UCEC cohort. We applied weighted correlation network analysis to select a key gene set associated with panoptosis. We conducted correlation analysis between transcriptomic data of the selected key genes and DNA methylation data to identify valuable DNA methylation sites. These sites were further screened by Cox regression and least absolute shrinkage and selection operator analysis. Immune microenvironment differences between high‐risk and low‐risk groups were assessed using single‐sample gene set enrichment analysi, xCell and MCPcounter algorithms.ResultsOur results identified five DNA methylation sites (cg03906681, cg04549977, cg06029846, cg10043253 and cg15658376) with significant prognostic value in EC. We constructed a prognostic model using these sites, demonstrating satisfactory predictive performance. The low‐risk group showed higher immune cell infiltration. Notably, methylation of site cg03906681 was negatively related to CD8 T cell infiltration, whereas cg04549977 exhibited positive correlations with immune infiltration, particularly in macrophages, activated B cells, dendritic cells and myeloid‐derived suppressor cells. PD0325901_1060 was strongly correlated with risk scores, indicating a potential therapeutic response for high‐risk EC patients.ConclusionWe have developed a robust DNA methylation‐based prognostic model for EC, which holds promise for improving prognosis prediction and personalized treatment approaches. These findings may contribute to better management of EC patients, particularly in identifying those at higher risk who may benefit from tailored interventions.