bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analyze the epidemic, lagging effect and prediction in time series models, applied to monthly weather and pollution related HFRS
Authors: Hou Weiming 
Published: December 2023

Abstract
Background
Previous studies have typically explored daily lagged relationships among hemorrhagic fever with renal syndrome (HFRS) and meteorology, with little seasonal exploration of monthly lagged relationships, interactions and multiple predictions among hemorrhagic fever and pollutants.
Methods
Our researchers collected HFRS cases data from 2005–2018 as well as meteorological and contaminative factors from 2015–2018 for the Northeast region. Firstly, we reported the application of the moving epidemic method (MEM) to estimate epidemic threshold and intensity level. Then we developed a distributed lag non-linear model (DLNM) and generalized additive model (GAM) with a maximum lag of 6 months to evaluate the lagged and interaction effects of meteorological and pollution factors on HFRS cases. Multiple machine learning was then performed after applying Spearman analysis to screen environmental factors in the Northeast.
Results
There has been a yearly downward trend in the incidence of HFRS in the northeastern regions. High prevalence threshold years were in 2005–2007 and 2012–2014, the epidemic months were mainly concentrated in November. During the low prevalence threshold period, the main lag factor was low wind direction. And the meteorological lag effect was high during the high prevalence threshold period, where the main lag factors were cold air and hot dew point. Low levels of AQI, PM10 and high levels of PM2.5 showed a dangerous lag effect on the onset of HFRS, but a protective effect at extreme high levels of PM2.5. And high levels of AQI, PM10 and low levels of PM2.5 showed a protective lag effect. The model of PM2.5 and AQI interaction pollution is better. The SVM-Radial algorithm outperformed other algorithms, where the predictive variables of pollutants performed well.
Conclusions
This is the first mathematically based study of seasonal threshold of HFRS in Northeast China, which allows accurate estimation of epidemic level. Our findings support that long-term exposure to air pollution is the risk factor for HFRS. We should focus on pollutants monitoring in cold condition and HFRS prediction modeling.
A signature based on seven disulfidptosis-related long non‑coding RNAs to predict the prognosis in Wilms' tumor
Authors: Xie TianJu , Liu ZheZhe , Xia Yu , Ma KeXin , Wang YouJun 
Published: December 2023

Abstract
Disulfidptosis has been demonstrated to be associated with prognosis in certain tumors. However, the prognostic significance of disulfidptosis-related long non-coding RNAs (lncRNAs) in Wilms' tumor (WT) remains unclear. Initially, we downloaded the transcriptome and clinical data of WT patients from the Therapeutically Applicable Research to Generate Effective Treatments (TARGET) database. Then, we identified disulfidptosis-related lncRNAs with prognostic significance to construct a risk model through correlation analysis, univariate Cox regression analysis, Lasso regression analysis, and multivariate Cox regression analysis. Furthermore, we validated the accuracy of the model using survival analysis, independent prognostic analysis, C-index analysis, receiver operating characteristic (ROC) curves, and a nomogram. Finally, the analysis of tumor microenvironment and immune function was conducted in samples from both high-risk and low-risk groups. A total of 7 lncRNAs were ultimately identified for the development of a prognostic model. Upon internal validation, this model exhibited remarkable efficacy in accurately discriminating between high-risk and low-risk patients, thereby enabling precise prognosis determination. Furthermore, notable statistical disparities were observed in the tumor microenvironment composition and immune function between the high-risk and low-risk groups' samples. In summary, we have successfully developed a prognostic risk model for lncRNAs associated with disulfidptosis in pediatric patients with Wilms’ tumor (WT). It played an important role in determining prognosis and in investigating new targets for tumor therapy.
Association between healthy lifestyle score and dyslipidemia; a population based study
Authors: Sadafi Sepehr , Azizi Ali , Najafi Farid , Pasdar Yahya 
Published: December 2023

Abstract

Background
The prevalence of dyslipidemia in Iran is high, making it important to identify its risk factors. However, the association between dyslipidemia and the healthy lifestyle index (HLS), which encompasses various individual behaviors, has not been extensively studied. Therefore, the aim of this study was to investigate the association between HLS and dyslipidemia.
Methods
A cross-sectional study was conducted on 6,690 participants from the baseline phase of the Ravansar non-communicable diseases study (RaNCD) cohort study. The HLS score was determined based on four lifestyle components: physical activity, diet, smoking status, and obesity. Binary logistic regression models were used to analyze the association between dyslipidemia and HLS quartiles.
Results
The average age of the participants was 45.76 ± 7.76 years, with 47.49% being male and 41.26% residing in rural areas. Anthropometric indices decreased across the HLS quartiles (Ptrend < 0.001). The intake of whole grains, fruits, vegetables, legumes, white meat, eggs, and nuts was significantly higher in the fourth quartile compared to the first quartile of HLS (Ptrend < 0.05). After adjusting for age, sex, socioeconomic status, drinking habits, and residence, the odds of dyslipidemia decreased in the second (OR: 0.66, 95% CI: 0.57–0.81), third (OR: 0.55, 95% CI: 0.47–0.64), and fourth quartiles of HLS (OR: 0.37, 95% CI: 0.30–0.46) compared to the first quartile (Ptrend < 0.001).
Conclusion
This study shows that a higher HLS may be associated with a lower likelihood of dyslipidemia. Adopting a healthy lifestyle that includes smoking cessation, regular physical activity, weight control, and a nutritious diet may help prevent dyslipidemia.
Image Classification Using Clip
Authors: Le Hang Thi Bich , Tran Vy Ngoc Nhat 
Published: December 2023

Abstract
The image classification problem using the CLIP method is particularly important in fields such as e-commerce, healthcare, security, etc. In this paper, we will introduce the application of ImageCLIP using the OpenCLIP model combined with ”Zero-shot” for object classification. We used the pre-trained model of OpenCLIP combined with the object class labels in the CIFAR-100 dataset to implement the ImageCLIP application.
Analysis of the use of anesthetic blocks versus local anesthesia infiltration in primary total knee arthroplasty surgery.
Authors: Gómez Silvia Gómez , Mata Julián Carlos Segura , Nalvaiz José Tomás Alcalá , García Felicito García-Álvarez , Zaldívar Clara Marín , Goiricelaya Amagoia Fernández de Gamarra 
Published: December 2023

Abstract
PURPOSE
The aim of this study is to analyze the efficacy of the use of a combined infiltration between popliteal artery and knee capsule (IPACK) anesthetic block together with selective saphenous nerve block, versus local infiltration with anesthetic in knee replacement surgery.
METHODS
A retrospective observational study was performed. There were reviewed 312 patients who underwent primary total knee prosthesis at our hospital between January 2019 and December 2022, regardless of the reason for the surgical indication. Between January 2019 and November 2021, 207 patients were performed local intraarticular anesthesia (LIA) during the surgery. Since November 2021 to December 2022, 105 patients received the combined nerve blocks (IPACK + ACB group). The average age in the LIA group was 72.9 years while in the blocks group it was 70.4 years. There were 44% of men in the LIA group and 53.3% in the blocks group.
The primary outcome was the presence of poorly controlled pain that requires opioid analgesic rescue in the postoperative period. Secondary outcomes included pain scores measured using the visual analog scale (VAS), range of motion assessed with a goniometer and hospital length stay.
RESULTS
There were no significant differences in age or sex patient distribution between the two groups.
Only one patient treated with anesthetic blocks required rescue analgesia with minor opioids. Patients treated with LIA required treatment with minor opioids in 28.5% of cases. There were not statistically significant differences (p = 0.0964) between VAS in the LIA group and in the blocks group in the first 24h, although patients treated with LIA presented less elevated VAS data (mean 2.3 versus 2.7). The range of motion was slightly greater (4.6º, statistically significant data, < 0.05) in the blocks group. There were statistically significant differences in terms of hospital stay (2.4 days in the blocks group and 2.8 days in the LIA group (p < 0.05).
CONCLUSION
In our series patients treated with anesthetic blocks showed better results with similar control of postoperative pain. However, more studies would be needed.
On the application of components manufactured with stereolithographic 3D printing in high vacuum systems
Authors: Radic Aleksandar , Lambrick Sam Morgan , Rhodes Sam , Ward David James 
Published: December 2023

Abstract
We report on a method for using stereolithographic (SLA) additive manufacturing to rapidly and cheaply prototype components for use in high-vacuum environments. We demonstrate the primary vacuum contaminant from freshly printed SLA plastics is water with no evidence of polymers out-gassing from the material and thus the vacuum performance can be controlled with simple treatments which do not involve surface sealing. An unbaked vacuum system containing SLA printed parts achieved 1.9e-8 mbar base pressure whilst retaining structural integrity and manufacturing accuracy. Preliminary results indicate that our method can be extended to achieve ultrahigh-vacuum compatibility by baking at higher temperatures. We further report on the effect of atmospheric exposure to components and present evidence to suggest that re-wetting occurs exclusively in the component skin layer, by showing that the bulk mass changes of the material is irreversible on the timescale investigated (< 2 weeks).
eHealth literacy and health-related quality of life: associations between eHEALS, EQ-5D-5L and health behaviours in a cross-sectional population survey
Authors: Zrubka Zsombor , Gulácsi László , Baji Petra , Kovács Levente , Tóth Barbara , Fodor Szabina , Péntek Márta 
Published: December 2023

Abstract

eHealth literacy has been been seen as an influencing factor of population health, while supporting evidence is mixed. We aimed to explore the association between eHealth literacy and health-related quality of life, with focus on the mediating effect of health behaviours and subgroup differences concerning health status and sociodemographic characteristics. We conducted a cross-sectional online survey in Hungary (N=1000) recording the eHealth literacy scale (eHEALS), EQ-5D-5L, lifestyle-related risks, perception of subjective lifestyle and health information seeking activity. Data were analysed via consistent partial-least squares structural equation modelling (cPLS-SEM). eHEALS had a small indirect effect on EQ-5D-5L (standardised b =0.031, p=0.002), mediated by subjective lifestyle (i.e., one perceives his/her lifestyle as healthier than others), but no direct or indirect effect via lifestyle-related risks of health information seeking. The association between lifestyle-related risks and eHEALS score was weak and fully mediated by health information seeking in the full sample (b =-0.035, p=0.009), but there was strong direct association between the eHEALS score and fewer lifestyle risks in respondents with poor health (EQ-5D-5L < 0.67; b =-0.294, p=0.040). Our findings provide clues for provide clues for public health strategies aiming to improve eHealth literacy in the general population.
Regional differences, dynamic evolution, and driving factors of high-quality medical resources in China’s ethnic minority areas
Authors: Hao Bangyan , Liang Binghua , Chen Zhuo , Huang Lifeng , Li Chengcheng 
Published: December 2023

Abstract
Background: In China, as people’s standard of living improves and the medical service system becomes more sophisticated, the demand for higher-quality and improved healthcare services is steadily rising. Inequality in health resource allocation (HRA) is more pronounced in ethnic minority areas (EMAs) than in developed regions. However, little research exists on high-quality medical resources (HQMRs) in China’s EMAs. Hence, we examined the spatiotemporal dynamic evolution of HQMRs in China’s EMAs from 2007 to 2021 and identified the main factors affecting their respective HQMR levels.
Methods: We selected tertiary hospitals to represent the quality of healthcare resources. We employed descriptive statistical techniques to analyze changes in the distribution of HQMRs from 2007 to 2021. We used the Dagum Gini coefficient and kernel density approach to analyse the dynamic evolution of HQMRs in China’s EMAs. We utilised the least squares dummy variable coefficient (LSDVC) to identify key factors affecting HQMR.
Results: The number of HQMRs in each EMA has risen annually. The average number of tertiary hospitals increased from 175 in 2007 to 488 in 2021. The results of the Dagum Gini coefficient revealed that the differences in the HQMR level in China’s EMAs have slowly declined, and intra-regional disparities have now become the primary determining factor influencing overall variations. The kernel density plot indicated that the HQMR level improved significantly during the study period, but bifurcation became increasingly severe. Using the LSDVC for analysis, we found that gross domestic product (GDP) per capita, the size of the resident population, and the number of students enrolled in general higher education exhibited a significant negative correlation with HQMR levels, while GDP and urbanisation rate had a significant promoting effect.
Conclusions: The HQMR level in EMAs has risen rapidly but remains inadequate. The differences in HQMR between regions have continued to narrow, but serious bifurcation has occurred. Policymakers should consider economic growth, education, and population size rather than simply increasing the number of HQMRs everywhere.
Design of BUCK DC-DC Converter Portable Charging Application for Electric Vehicles
Authors: Kumar Shubham , Subbaraj Sangeetha , Kingsly Saffrine 
Published: December 2023

Abstract

As electric vehicles (EVs) are becoming more prevalent in the current scenario. One of the significant obstacles is range anxiety which hasn’t been overcome because of the short range of a single charge. By employing an on-the-spot dynamic charging system using a charged external battery pack, it can be avoided. In this manuscript, the control algorithms i.e. Proportional-Integral-Derivative controller (PID) are modelled by ensuring the electrical and thermal characteristics of the conversion are within a predetermined and acceptable range. The State-of-Charge (SOC), battery current, and battery voltage are observed and monitored in Matlab Simulink. To obtain the pragmatic results, a basic Battery Management System (BMS), which implements the Coulomb Counting method, is also developed and simulated. The semiconductor devices used are thermally modeled to measure dissipation. This is a suggested design for an emergency-only lightweight portable rapid charger. This design does not replace the standard charging stations.
Objective assessment of bradykinesia in Parkinson's disease using a serious game
Authors: Mendes Luanne Cardoso , Alves Camille Marques , Marques Isabela Alves , Cabral Ariana Moura , Morère Yann , Andrade Adriano de Oliveira 
Published: December 2023

Abstract
Background: Bradykinesia is the main motor symptom of Parkinson's disease (PD). Its clinical assessment is based on scales, such as the Movement Disorder Society-Unified Parkinson's Disease Rating Scale (MDS-UPDRS). However, this type of assessment has limitations, such
as subjectivity and dependence on experienced assessors. Hence, this study aimed to objectively assess bradykinesia using a bee-themed serious game, so-called RehaBEElitation.
Methods: The experimental and control groups (EG and CG) consisted of fifteen individuals with PD in the ON and OFF states of medication, as well as fifteen healthy people, respectively, with matched ages and sexes. Bradykinesia was evaluated by detecting the voluntary movement of the gyroscope signals using Singular Spectrum Analysis (SSA), a time series decomposition method. The response time (RT) and angular velocity (AV) of the participants while playing RehaBEElitationwere estimated. The Kruskal Wallis test and Wilcoxon test with Bonferroni correction were used to confirm the differences between groups.
Results: The EG-OFF and CG participants who showed the worst results for RT also showed the worst results for AV, which reveals the consistency of the variables used to evaluate bradykinesia. Significant differences were found between groups for all comparisons (p<0.05). In most phases, CG participants obtained the best results for RT and AV, followed by EG-ON and then EG-OFF.
Conclusion: The RehaBEElitationserious game is an alternative tool for assessing the main motor symptom of PD in an objective and entertaining way. In general, the EG participants in the OFF state showed increased bradykinesia compared to the ON state.
The value of multi-parametric MRI-based radiomics features：predicting the histological grade of invasive ductal carcinoma
Authors: Zheng Lanqing , Yao Chi , Ding Wei , Lyu Xiaohong , Zhang Xianglin 
Published: December 2023

Abstract
Purpose: To investigate the value of radiomics features based on multi-parameter dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) in predicting histological grade of invasive ductal carcinoma (IDC).
Methods: A total of 183 confirmed IDC patients (139 low-grade I-II, 44 high-grade III) was divided into 7:3 training and test sets. The S1 to S5 enhanced phases, T2-weighted images, Diffusion Weighted Imaging, and Apparent Diffusion Coefficient images underwent meticulous preprocessing using 3D-slicer software. Radiomic features in the training set were analyzed using T-tests, lasso feature selection, and Variance Inflation Factor. Various models, including Random Forest (RF), Support Vector Machine (SVM), Logistic Regression (LR), Naive Bayes (NB), and multi-parameter composite models, were constructed. Validation against pathological examination results employed Receiver Operating Characteristic (ROC) curves for AUC, sensitivity, specificity, precision, accuracy, positive predictive value, and negative predictive value. The Delong test assessed AUC disparities, and Decision Curve Analysis (DCA) evaluated clinical utility. A calibration curve was also created.
Results: The enhanced S3 sequence exhibited superior predictive performance. Single sequence AUC values were RF 0.812, SVM 0.840, LR 0.848, NB 0.746. The multi-parameter model (S3: RF+SVM+LR) achieved an AUC of 0.876. In the training set, RF and SVM had higher AUC than LR and NB (P<0.05), and the multi-parameter model had a higher AUC than LR (P>0.05). In the test set, RF+SVM+LR had a higher AUC than NB (P<0.05). In DCA, RF and LR multi-parameter models showed the highest max net benefits.
Conclusion: Radiomics features from multi-parameter DCE-MRI demonstrate diagnostic efficacy in predicting IDC histological grade.
Grapevine virus P: a novel vitivirus found through virome analysis of bulk grape genetic resources in Japan
Authors: Ito Takao 
Published: December 2023

Abstract

To understand the potential risks posed by viruses and viroids to viticulture in Japan, virome analysis was performed on 174 grape genetic resources from the National Agriculture and Food Research Organization. A total of 20 bulk samples were prepared by grouping the vines into batches of 6–10. Each of the bulk samples was analyzed using next-generation sequencing, which detected 26 viruses and 5 viroids. One contig initially categorized into grapevine virus A (GVA) in the genus Vitivirus with a maximum nucleotide sequence identity of only 58% with GVA variants was further analyzed. The determined genome was 7,461 nucleotides in length and encoded five open reading frames showing the typical genomic structure of vitiviruses. Phylogenetic trees of vitiviruses placed it at a distinct position nearest to GVA or grapevine virus F (GVF) in genomes and amino acids of deduced replication-associated protein (RAP) and coat protein (CP). The amino acid sequence identities of RAP and CP with GVA, GVF, and other vitiviruses were a maximum of 53% and 73%, respectively, which were significantly below the species demarcation threshold of 80% in the genus. The low identity and phylogenetic analyses indicate the discovery of a novel vitivirus species provisionally named grapevine virus P.
The effect of PARPi maintenance therapy on re-chemotherapy in advanced ovarian cancer
Authors: Han Jiangxue , Yang Yue 
Published: December 2023

Abstract
Purpose
Study on whether PARPi maintenance therapy has an impact on the subsequent chemotherapy efficacy of recurrent ovarian cancer in advanced ovarian cancer.
Methods
111 patients with first platinum-sensitive recurrent ovarian cancer were collected, 49 patients were treated with PARPi maintenance therapy after first-line treatment, and 62 patients were not treated with PARPi maintenance therapy. General clinical characteristics, including age, BRCA gene, and clinical stage, were counted. Divide the platinum free interval (PFI) after the first treatment into 6 to 12 months, 12 to 24 months, and ≥ 24 months. Observe the number of courses required for patients to achieve normal CA125 and the disappearance of tumors assessed by imaging at different recurrence intervals.
Results
Age, BRCA gene, and stage did not affect the efficacy of chemotherapy.When using surgical R0 + platinum chemotherapy after recurrence in PFI at 6–12 months, 12–24 months, and ≥ 24 months, the P values were all < 0.05, all of which were statistically significant.In the degree of decrease in CA125 level and tumor disappearance by imaging assessment after relapse with second-line platinum-based chemotherapy only, the P values were statistically significant at PFI 6–12 months and 12–24 months, both of them < 0.05. In contrast, in PFI ≥ 24 months, the degree of decrease in CA125 level and the disappearance of tumor by imaging assessment were not statistically significant with P > 0.05.
Conclusions
After the first treatment for advanced ovarian cancer, PARPi maintenance therapy resulted in decreased effectivity to second-line platinum-containing chemotherapeutic agents.