bluuebunny/crossref_metadata_2025_split huggingface dataset:
An estimation method of sound speed profile based on grouped dilated convolution informer model
Authors: Qin Siyuan , Zhang Yi , Chen Zhou 
Published: February 2025

IntroductionThe accurate determination of the ocean sound speed profile (SSP) is essential for oceanographic research and marine engineering. Traditional methods for acquiring SSP data are often time-consuming and costly. Machine learning techniques provide a more efficient alternative for SSP inversion, effectively addressing the limitations of conventional approaches.MethodsThis study proposes a novel SSP inversion model based on a grouped dilated convolution (GDC) Informer architecture. By replacing the standard one-dimensional convolution in the Informer model with GDC, the proposed model expands its receptive field and improves computational efficiency. The model was trained using Argo profile data from 2008 to 2017, incorporating empirical orthogonal function (EOF) decomposition data, geographic location, temporal information, and historical SSP data, enabling SSP inversion across diverse regions and time periods.ResultsThe model’s performance was evaluated using mean absolute error (MAE), root mean square error (RMSE) and mean absolute percentage error (MAPE) metrics. Experimental results demonstrate that the Informer-GDC model achieves evaluation metrics of 0.355 m/s and 0.611 m/s for MAE, 0.241 m/s and 0.394 m/s for RMSE, and 0.018% and 0.025% for MAPE compared with measured data from 2018.DiscussionCompared to the LSTM and Informer models, the proposed model improves MAE, RMSE, and MAPE by 46.51% and 29.66%, 51.65% and 39.28%, and 51.25% and 37.08%, respectively. These findings highlight the superior accuracy, stability, and efficiency of the Informer-GDC model, marking a significant advancement in SSP inversion methodologies.
Observation of symptomatic thromboembolic events in endoscopic retrograde cholangiopancreatography patients with interruption of antithrombotic therapies
Authors: Wu Jinqing , Hong Jianglong , Ding Hao , Mei Qiao 
Published: February 2025

Background and objectivesAn increasing number of patients with antithrombotic therapies are undergoing endoscopic retrograde cholangiopancreatography (ERCP). Interruption of antithrombotic therapies may be associated with a higher risk of symptomatic thromboembolic (TE) events. We aimed to investigate the risk of symptomatic TE events among patients undergoing ERCP.MethodsA retrospective cohort study on patients at risk for symptomatic TE events who had undergone ERCP from January 2016 to October 2023 was conducted. A total of 2,482 patients who had undergone ERCP were included in this study. We compared the risk of symptomatic TE events within 30 days after ERCP between the group treated with antithrombotic agent and the group not treated with antithrombotic agent using multivariate regression analysis adjusted for covariates.ResultsA total of 15 patients (0.60%, 15/2,482) developed symptomatic TE events within 30 days after ERCP. The symptomatic TE event rate in subjects on any antithrombotic drug was 1.46% with an odds ratio (OR) of 5.267 (n = 689, 95% CI 1.79–15.46, p = 0.002), compared with those not treated with antithrombotic drugs (n = 1,793). The symptomatic TE event rate in subjects on temporary interruption of antithrombotic drugs was 1.48% with an OR of 5.36 (n = 677, 95% CI 1.83–15.74, p = 0.002), compared with those not treated with antithrombotic drugs (n = 1,793). Multivariate regression analysis indicated that patients with high-risk conditions had a significantly higher risk of post-ERCP symptomatic TE events (adjusted OR 11.73, 95% CI 2.23–61.70).ConclusionInterruption of antithrombotic drugs is associated with higher post-ERCP symptomatic TE events, particularly in high-risk conditions.
Growth factors IGF-1 and KGF and adipose-derived stem cells promote migration and viability of primary human keratinocytes in an in vitro wound model
Authors: Stadelmann Nina , Horch Raymund E. , Schmid Rafael , Ostendorf David , Peddi Ajay , Promny Theresa , Boos Anja M. , Kengelbach-Weigand Annika 
Published: February 2025

IntroductionIn the field of plastic surgery, epidermal transplantation is a potential treatment for chronic wounds that results in only minor donor site morbidity. Improving the regenerative capacities of epidermal grafts or single-cell suspensions and therefore accelerating healing processes would be of significant interest.MethodsIn the present study, we analyzed the effects of growth factors and adipose-derived stem cells (ADSCs) on keratinocyte properties. For optimum translation into the clinical setting, primary human keratinocytes and patient-matched ADSCs were isolated and used in an in vitro wound model.ResultsThe keratinocyte migration and viability increased after treatment with the growth factors insulin-like growth factor 1 (IGF-1) and keratinocyte growth factor (KGF). A similar effect was observed with the use of a concentrated ADSC-conditioned medium (ADSC-CM). It was further possible to isolate the keratinocytes in a xenogen-free medium, which is essential for clinical translation. Importantly, a patient-dependent influence on the effects of the growth factors and ADSC-CM was observed.DiscussionThis study provides potential for the improvement of epidermal transplantation in the treatment of chronic wounds using xenogen-free isolated and cultivated keratinocytes, growth factors, and ADSC. Translating these results into clinical application may help accelerate wound healing and shorten the time until patients can return to everyday life.
Effects of two kinds of vestibular function training on reducing motion sickness in college students
Authors: Shi Linyao , Zhao Jing , Lu Jiamei , Cao Chuanxia , Zhang Qikun , Qiu Chuanjing , Jin Zhanguo , Yan Shengguang 
Published: February 2025

IntroductionTo explore the advantages and disadvantages of different vestibular function training to improve Motion sickness (MS) can be associated with significant symptoms, including fatigue, dizziness, headaches, nausea, and vomiting. Vestibular function training has increasingly replaced MS medications over the past few years and has almost no side effects.MethodsWe selected 109 students with MS from a university in Tangshan, China, and randomly assigned them to either an electric rotating chair group or a visual-motion cage rotating chair group. Both training groups underwent vestibular function training for 90 seconds a day for seven consecutive days.ResultsAfter training, both groups’ Graybiel scores, blood pressure, high-frequency power (HF), and root mean square of successive differences (rMSSD) between adjacent normal heartbeats significantly decreased. In the visual-motion cage rotating chair group, in addition to a reduction in the percentage of adjacent normal-to-normal intervals which differed by more than 50 ms (pNN50), as well as decreases in low-frequency power (LF), an increase in LF/HF was observed. Between-group comparisons showed that the Graybiel scores in the electric rotating chair group were better than those in the visual-motion cage rotating chair group. When the two groups were stratified into high and low-susceptibility subgroups, the low-susceptibility subgroup of the electric rotating chair group had lower Graybiel scores and diastolic blood pressures than the low-susceptibility visual-motion cage rotating chair subgroup, whereas in the high susceptibility subgroup, LF, rMSSD, and pNN50 were significantly higher in the visual-motion cage rotating chair group than in the electric rotating chair group.DiscussionThis study compared the effects of two types of vestibular function training on Graybiel scores and heart rate variability (HRV). we found that seven days of training with both the electric rotating chair and the visual-motion cage rotating chair relieved MS symptoms and enhanced sympathetic regulation. In terms of improving the subjective degree of MS, the electric rotating chair was superior to the visual-motion cage rotating chair. Subgroup analysis results showed that low-susceptibility MS patients’ symptoms were better relieved with electric rotating chair training, while high-susceptibility patients’ symptoms were better relieved with visual-motion cage rotating chair training.
A pelvis MR transformer-based deep learning model for predicting lung metastases risk in patients with rectal cancer
Authors: Li Yin , Li Shuang , Xiao Ruolin , Li Xi , Yi Yongju , Zhang Liangyou , Zhou You , Wan Yun , Wei Chenhua , Zhong Liming , Yang Wei , Yao Lin 
Published: February 2025

ObjectiveAccurate preoperative evaluation of rectal cancer lung metastases (RCLM) is critical for implementing precise medicine. While artificial intelligence (AI) methods have been successful in detecting liver and lymph node metastases using magnetic resonance (MR) images, research on lung metastases is still limited. Utilizing MR images to classify RCLM could potentially reduce ionizing radiation exposure and the costs associated with chest CT in patients without metastases. This study aims to develop and validate a transformer-based deep learning (DL) model based on pelvic MR images, integrated with clinical features, to predict RCLM.MethodsA total of 819 patients with histologically confirmed rectal cancer who underwent preoperative pelvis MRI and carcinoembryonic antigen (CEA) tests were enrolled. Six state-of-the-art DL methods (Resnet18, EfficientNetb0, MobileNet, ShuffleNet, DenseNet, and our transformer-based model) were trained and tested on T2WI and DWI to predict RCLM. The predictive performance was assessed using the receiver operating characteristic (ROC) curve.ResultsOur transformer-based DL model achieved impressive results in the independent test set, with an AUC of 83.74% (95% CI, 72.60%-92.83%), a sensitivity of 80.00%, a specificity of 78.79%, and an accuracy of 79.01%. Specifically, for stage T4 and N2 rectal cancer cases, the model achieved AUCs of 96.67% (95% CI, 87.14%-100%, 93.33% sensitivity, 89.04% specificity, 94.74% accuracy), and 96.83% (95% CI, 88.67%-100%, 100% sensitivity, 83.33% specificity, 88.00% accuracy) respectively, in predicting RCLM. Our DL model showed a better predictive performance than other state-of-the-art DL methods.ConclusionThe superior performance demonstrates the potential of our work for predicting RCLM, suggesting its potential assistance in personalized treatment and follow-up plans.
Bibliometric analysis of rhein in the treatment of tumors
Authors: Jiang Lan , Huang Qian , Shi Zhongquan , Yang Yi 
Published: February 2025

BackgroundRhein is an anthraquinone compound with a variety of biological activities. It has inhibitory effects on liver cancer, breast cancer, lung cancer, oral cancer, gastric cancer, and other cancers. However, a comprehensive bibliometric review of this field has not yet been published.ObjectiveThis study aims to investigate and evaluate the current research trends and directions about the antitumor properties of rhein using bibliometric analysis.MethodsThe literature related to rhein in cancer treatment from 2003 to 2023 was retrieved from the Web of Science Core Collection (WoSCC) database, and the annual number of publications, main authors, major institutions, keyword clustering, and keyword bursts were visually analyzed using CiteSpace 6.3.R1 software. This study aims to discuss the status quo, hotspots, and development trends of rhein research over the past 20 years.ResultsA total of 220 articles were retrieved from the core collection database, and the number of articles related to treating tumors with rhein increased annually. Among them, Chung, Jing Gung has the highest number of articles in this field, but most researchers lack cooperation with each other. The institutions with the highest number of articles were the Nanjing University of Chinese Medicine (13 articles) and China Medical University (Taiwan) (13 articles). Research hotspots include the promotion of apoptosis, endoplasmic reticulum stress, inhibition of proliferation, drug resistance, and nanoparticles.ConclusionRhein exerts antitumor effects by inducing cell apoptosis, controlling metastasis, and inhibiting proliferation. However, owing to its poor water solubility, in recent years, functional modification of its functional groups or production of rhein nanoparticles to enhance its bioavailability and antitumor effects has become a hot research direction in the future.
Bridging gaps in healthcare: child health services and specialist care collaboration for young children with autism and coexisting conditions
Authors: Nygren Gudrun , Gillberg Christopher , Carlsson Emilia 
Published: February 2025

AimThis study aimed to evaluate a clinical project aiming to address gaps in healthcare for young children in an immigrant, low-resource district from early identification of regulatory problems, autism, and other neurodevelopmental symptoms by child health services to assessment and interventions in specialist care.MethodsA mixed-model design was employed, consisting of a description of the clinical project and data from healthcare statistics to evaluating the care chain. Qualitative in-depth interviews were conducted to capture the perspectives of participating child health nurses. Data were analyzed using content analysis.ResultsThe mean age for referral from primary to specialist care for suspected autism decreased from 38 to 27 months at (n = 59). A total of 55 children were diagnosed with autism. The mean age at autism diagnosis decreased from 44 to 31 months. Waiting times from referral to intervention were shortened. Interventions were already initiated in primary care at the time of referral. Qualitative analyses of nurse experiences revealed three main categories: (1) new and increased knowledge, (2) great importance for every child and family, and (3) an efficient method with fewer gaps, which holds further potential for development.ConclusionProfessionals’ increased knowledge of early symptoms in children, combined with novel healthcare methods for close collaboration, made it possible to bridge the gaps and provide young children and their families with early assessments and essential early interventions. The study results point to opportunities for integrated healthcare and collaboration with families and preschools.
Preclinical pharmaco-toxicological screening of biomimetic melanin-like nanoparticles as a potential therapeutic strategy for cutaneous melanoma
Authors: Marcovici Iasmina , Chioibas Raul , Zupko Istvan , Pinzaru Iulia , Moaca Alina , Ledeti Adriana , Barbu-Tudoran Lucian , Geamantan Andreea , Predescu Iasmina , Dehelean Cristina Adriana 
Published: February 2025

IntroductionDespite its rarity, cutaneous melanoma (CM) represents the deadliest skin cancer with a high mortality rate, an incidence on the rise, and limited therapeutic options at present. Melanin is a polymeric pigment naturally produced within melanocytes and CM cells that gained a noteworthy attention due to its pharmacological properties, and potential for the design of nanoplatforms with biomedical applications. Up to date, the utilization of melanin-like nanoparticles (MEL-NPs) in cancer treatment has been well-documented, although their efficacy in CM therapy remains scarcely investigated. The current study presents the preclinical evaluation of MEL-NPs as a potential nanomedicine for CM management.MethodsMEL-NPs were produced through the oxidative polymerization of dopamine and characterized via electron microscopy and UV-VIS spectroscopy. The antioxidant activity was determined by using the DPPH method. The cytotoxic, anti-migratory, anti-clonogenic, pro-oxidant and pro-apoptotic properties of MEL-NPs were investigated in vitro by applying the MTT viability test, bright-field and immunofluorescence microscopy, DCFDA/H2DCFDA test, scratch assay, colony formation assay, and RT-qPCR. The irritant and anti-angiogenic effects were assessed in ovo on the vascularized chorioallantoic membrane (CAM).ResultsThe as-made MEL-NPs presented a spherical morphology, an average size of 85.61 nm, a broad UV-VIS absorption spectrum, and a strong antioxidant activity. After a 24 h treatment, MEL-NPs exerted a selective cytotoxicity in SH-4 and B164A5 CM cells compared to HEMa, HaCaT, and JB6 Cl 41-5a healthy skin cells, except for the concentration of 100 µg/mL, at which their viability declined under 70%. Additionally, MEL-NPs accumulated within the intracellular space of CM cells, forming a perinuclear coating, inhibited their motility and clonogenic potential, increased intracellular oxidative stress, targeted the epithelial-to-mesenchymal transition, and induced apoptosis by altering cell morphology, nuclear aspect, F-actin and tubulin distribution, and by modulating the expression of pro- and anti-apoptotic markers. In ovo, MEL-NPs lacked irritant and vascular toxic effects, while exerting an angio-suppressive activity.ConclusionMEL-NPs demonstrated promising anti-melanoma properties, showing a selective cytotoxicity, a strong anti-invasive effect and a pro-apoptotic activity in CM cells, while inhibiting CAM angiogenesis, these novel findings contributing to future research on the potential application of this nanoplatform in CM therapy.
New insights into the salt-responsive regulation in eelgrass at transcriptional and post-transcriptional levels
Authors: Zhao Huan , Dong Xu , Yang Dazuo , Ge Qingchao , Lu Peng , Liu Chang 
Published: February 2025

IntroductionThe adaptation mechanisms of marine plants to the environments have garnered significant attention in recent years. Eelgrass (Zostera marina), a representative marine angiosperm, serves as an ideal model for investigating the mechanisms underlying salt tolerance.MethodsThis study integrated mRNA, sRNA, and degradome sequencing data to identify key genes associated with salt tolerance in eelgrass.ResultsThe results indicate that a series of genes involved in biological processes such as “in response to water deprivation” and “biosynthesis of secondary metabolites” respond to salt stress. Analysis of cis-regulatory elements and expression similarities suggests that the ABA synthase 9-cis-epoxycarotenoid dioxygenase (NCED) may be regulated by ERF members, while phenylalanine ammonia-lyase (PAL) may be regulated by MYB members. At the post-transcriptional regulation level, miRNA156 and miRNA166 might be involved in the response by regulating potential target genes, such as members of the WRKY and HD-ZIP families. Additionally, eelgrass exhibits unique responses to salt, such as the up-regulation of genes involved in the “fucose biosynthetic process”. These findings enhance our understanding of how eelgrass adapts to the marine environment.DiscussionAs a marine monocotyledon, eelgrass is helpful to find conserved salt tolerance mechanisms by cross-species comparison. By examining the transcriptional responses of homologous genes in eelgrass, rice, and maize, we identified several groups of genes that are conserved in their response to salt stress. These conserved gene resources may provide targets for genetic engineering to improve the salt tolerance of crops.
Leveraging on large language model to classify sentences: a case study applying STAGES scoring methodology for sentence completion test on ego development
Authors: Bronlet Xavier 
Published: February 2025

IntroductionThe emergence of artificial intelligence and the widespread availability of large language model open the door to text analysis at scale leveraging on complex classification instructions. This case study explores the possibility of using available large language models to measure ego development at scale and establish a methodology that can be applied to other classification instructions. Ego consists of the traits that influence how a person perceives and engages with the world, while ego development is a crucial aspect of adult personality growth, influencing behaviors and decisions in both personal and professional contexts. Accurate assessments of ego development stages are vital for creating effective strategies in organizational psychology and corporate analytics.MethodsThis case study investigates the agreement between expert and automated classifications of ego development stages, aiming to evaluate the potential of automation in this domain leveraging artificial intelligence and large language models. Cohen’s kappa statistic has been used to measure the agreement between classifications made by experts and those generated by an automated process leveraging large language models.ResultsThe comparison between the scoring of experts and large language models yielded a weighted Kappa value of 0.779, indicating a substantial level of agreement that is statistically meaningful and unlikely to be due to chance.DiscussionWhile this suggests valuable scoring that leverages large language models, it also highlights the opportunity for further refinement to closely match expert assessments. We observed low variability in aggregated values, demonstrating that the automated process functions effectively at scale. The robustness of aggregated data is particularly evident when calculating ego development scores for individuals, groups, corporate units, and entire corporations. This capability underscores the utility of the automated system for high-level evaluations and decision-making leveraging on a solid indicator. While the classification system developed in this case study shows promise, targeted enhancements may help to achieve a level of accuracy and reliability that improves alignment with experts’ evaluations for single sentences. The methodology developed in this case study appears to be useful to support other evaluations at scale that leverage large language models using other maps of classifications.
The effect of repetitive transcranial magnetic stimulation on sleep quality in patients with more than mild depressive mood: a systematic review and meta-analysis
Authors: Liu Yu’ang , Huang Silang , Zhang Xinxin , Liao Huangying , Liu Weiguo , Zhang Zhi , Qu Xianhui , Wang Ziwen 
Published: February 2025

BackgroundThe purpose of this study was to systematically evaluate the efficacy of repetitive transcranial magnetic stimulation (rTMS) therapy on sleep quality in patients with more than mild depressive mood.MethodsRandomized controlled trials in PubMed, Cochrane Library, Web of Science, Embase, Scopus, and ScienceDirect on rTMS to improve sleep quality in patients with more than mild depressive mood up to September 2023 were searched. A meta-analysis was performed using RevMan 5.4 and Stata 17.0 software.ResultsA total of 11 studies, which involved 548 patients, were included. After rTMS treatment, the effect on sleep quality improvement in patients with more than mild depressive mood was better in the experimental group than in the control group [I2 = 53%, mean difference (MD) = −2.27, 95%CI = −2.97 to −1.57, p &lt; 0.00001]. The results of the subgroup analyses showed that, in terms of stimulation frequency, compared with the 5-Hz and 10-Hz groups, the treatment effect of the 1-Hz group was better (I2 = 32%, MD = −2.69, 95%CI = −3.78 to −1.60, p &lt; 0.00001). In terms of treatment duration, compared with the 2-week and 4-week groups, the group with more than 4 weeks of treatment had better treatment outcomes (I2 = 0%, MD = −2.81, 95%CI = −3.22 to −2.40, p &lt; 0.00001). In terms of whether combination therapy was used or not, compared with the combination therapy group (I2 = 29%, MD = −1.39, 95%CI = −2.30 to −0.48, p = 0.003), the non-combination therapy group had a better treatment effect (I2 = 0%, MD = −2.93, 95%CI = −3.36 to −2.50, p &lt; 0.00001).ConclusionrTMS significantly improves sleep quality in patients with more than mild depression. Subgroup analyses showed that the group using the 1-Hz stimulation frequency, the group with more than 4 weeks of treatment time, and the group with rTMS alone had better efficacy in treating the sleep quality of patients with more than mild depressive mood using rTMS, with the use of combination treatment or not being the main source of heterogeneity.Systematic review registrationhttps://www.crd.york.ac.uk/prospero/, identifier CRD42023467971