bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on prediction of welding deformation based on improved GA-BP neural network
Authors: Hongchang Sun , Yuanhui Hao , Yongxiang Jiang , Liang zhiqiang , Yunfei Su , Qiao yingwei 
Published: September 2023

Abstract
Welding deformation prediction can predict the deformation that may occur during the welding process, so that corresponding measures can be taken to control the deformation, so as to improve the manufacturing quality and driving safety of the car body. In this paper, the finite element analysis software is used to simulate the welding process of the load wheel flange plate of the special vehicle body. The load wheel flange plate is one of the main components connecting the load wheel and the body, which can reduce the impact caused by uneven ground or high speed driving, so as to protect the load wheel, axle and body system. In this paper, the finite element analysis model of the load wheel flange is established. Based on the finite element analysis method, the welding deformation data set under different welding voltage, welding current and welding speed is obtained. In this paper, the process parameters of orthogonal experimental design are used for welding, and the deformation of the flange plate of the load wheel after welding is measured by three-dimensional laser scanner. The simulation results of welding deformation are in good agreement with the experimental results, and the relative error is controlled within 9.4%. Therefore, the finite element simulation method in this paper can better reflect the actual welding deformation. In order to improve the efficiency and accuracy of welding deformation prediction, a deformation prediction model based on improved genetic algorithm optimized BP neural network(improved GA-BP)is proposed. The average absolute error MAE and the determination coefficient R2 are used as test parameters to evaluate the accuracy of the established model. The results show that compared with the unimproved BP neural network, the GA-BP model has a 0.04% increase in R2 and a 13.04% decrease in MAE in the performance of the test set, which has a high reference value for the subsequent improvement of welding quality. Finally, the improved GA-BP algorithm model is used to verify the engineering verification of the flange plate of the load wheel obtained by the welding experiment. Based on the improved GA-BP neural network, the error between the predicted value of the welding deformation and the average value of the experimental measurement is within 10%, and the predicted value is consistent with the experimental measurement value. The application value of the improved GA-BP neural network in engineering is verified.
Bioinformatics analysis of ceRNA network of autophagy-related genes in childhood asthma
Authors: Zhu Hao , Shi Jiao , Ruan Rui , Li Wen 
Published: September 2023

Abstract
Background
The key differentially expressed autophagy-related genes(DE-ARGs) in childhood asthma were screened, and lncRNA-miRNA-mRNA networks were constructed to further understand the pathogenesis of asthma.
Methods
DE-ARGs were identified using the Gene Expression Database (GEO) and the Human Autophagy Database. These DE-ARGs were subjected to Gene Ontology, Kyoto Encyclopedia of Genes and Genomes pathway, Gene Set Enrichment Analysis, and protein-protein interaction network analysis followed by further verification of core gene expression. MiRNAs were inversely predicted using two databases (miRDB and ENCORI), while miRNA-lncRNA interactions were predicted using LncBase and ENCORI databases. After excluding lncRNAs present only in the nucleus and extracellular space, a competitive endogenous RNA (ceRNA) network was established and further analyzed. Finally, we validated mRNA expression levels in the ceRNA network by quantitative real-time PCR (qRT-PCR).
Results
31 DE-ARGs were obtained, of which 29 were up-regulated and two were down-regulated. Autophagy, regulation of apoptotic signaling pathways, interferon-α/β signaling, interferon γ signaling, autophagy-animal, and apoptosis pathways were mainly enriched in asthma. Five hub genes (VEGFA, CFLAR, RELA, FAS, and ATF6) were further analyzed to verify the expression and diagnostic efficacy of these core genes using the GEO dataset. Finally, four hub genes (VEGFA, CFLAR, RELA, and FAS) were obtained. Through the combination of literature search, ceRNA network mechanism, and predicted miRNAs and lncRNAs analysis, a ceRNA network of four mRNAs (VEGFA, CFLAR, RELA, and FAS), three miRNAs (hsa-miR-320b, hsa-miR-22-3p, and hsa-miR-625-5p), and 35 lncRNAs was finally constructed. qRT-PCR showed that FAS was signifcantly upregulated.
Conclusion
Four DE-ARGs, especially FAS, may play a key role in asthma. The new ceRNA network may help to explore the mechanism of autophagy in asthma, which may be important for the development of new treatment options.
Prevalence of Presenting Bilateral Visual Impairment (PBVI) associated with refractive error – Findings from the See4School, Pre-school Vision Screening Program in NHS Scotland
Authors: Conway Miriam , Pentland Lee 
Published: September 2023

Abstract
Introduction: The See4School programme in Scotland is a pre-school vision screening initiative delivered by orthoptists on a national scale. The primary objective of this programme is to identify common visual conditions such as refractive error, amblyopia, strabismus and binocular vision defects.
Methods: Retrospective anonymised data from vision Screening referrals in Scotland from 2013-2016 were collected. Children underwent an assessment using a crowded logMAR vision test and a small number of orthoptic tests.
Results: During the 3-year period, out of 165,489 eligible children, 141,237 (85.34%) received the vision screening assessment. Among them, 27,010 (19.12%) failed at least one part of the screening and were subsequently referred into the diagnostic pathway, where they received a full sight test. The prevalence of bilateral visual impairment (≥0.3LogMAR), ranged between 1.47% (1.37-1.59) and 2.42% (2.29-2.57).
Discussion: It is estimated that up to 2.42% (2.29-2.57) of children living Scotland have poorer than driving standard of vision (6/12) in their pre-school year. Reduced vision has the potential to impact a child’s their day-to-day life including their future educational, health and social outcomes.
Convolutional neural networks optimized with an improved butterfly optimization algorithm for fault diagnosis
Authors: Wang Yan , Yu Haowen , Wang Xinfa , Wang Yueying , Li Yinhua , Zhao Mingdong 
Published: September 2023

Abstract
The butterfly optimization algorithm (BOA) is a novel swarm intelligence optimization algorithm, which simulates the process of butterfly foraging and courtship. However, BOA suffers from low search accuracy, slow convergence, easily to fall into local optima. To overcome this shortcoming, this paper proposes an improved butterfly optimization algorithm (IBOA). The main idea is to balance the exploration and exploitation of the algorithm by improving the update method of butterfly position. IBOA adopts dynamic switching probability, and balances the global search and local search of a single butterfly by adding an adjustment operator in the global search phase and a sine-cosine operator in the local search phase. This takes full advantage of BOA's global and local searches and enhances communication between butterflies. In order to prove the effectiveness of the IBOA, some benchmark functions are used to verify it. It turns to that the IBOA algorithm is superior to other algorithms. On this basis, IBOA is used to optimize the hyperparameters of convolutional neural network (CNN), and a fault diagnosis model is established. The experimental results of Paderborn bearing data set and continuous stirred tank reactor(CSTR) process data set show that IBOA-CNN model can effectively diagnose industrial data with high diagnosis accuracy, and has obvious advantages compared with other optimization algorithms combined with CNN model.
Comparison of the efficacy of neuronavigation-assisted intracerebral haematoma puncture and drainage with neuroendoscopic haematoma removal in the treatment of hypertensive cerebral haemorrhage
Authors: Jiang Lei , Tian Jinjie , Guo Chao , Zhang Yi , Qian Ming , Wang Xuejian , Wang Zhifeng , Chen Yang 
Published: September 2023

Abstract
Object: Comparison of neuronavigation-assisted intracerebral haematoma puncture and drainage with neuroendoscopic haematoma removal in the treatment of hypertensive cerebral haemorrhage.
Method: Ninety-one patients with hypertensive cerebral haemorrhage admitted to our neurosurgery department from June 2022 to May 2023 were selected, of whom 47 cases underwent endoscopic haematoma removal with the aid of neuronavigation in the observation group A and 44 cases underwent intracerebral haematoma puncture and drainage in the control group B. The duration of surgery, intraoperative bleeding, haematoma clearance rate, pre- and post-operative GCS score, National Institutes of Health Stroke Scale (NIHSS) score, mRS score and post-operative complications were compared between the two groups.
Result: 1. The duration of surgery, intraoperative bleeding and haematoma clearance were significantly reduced in Group B compared to Group A (p<0.05). 2. No significant differences were seen in the preoperative, 7 days postoperative, 14 days postoperative and 1-month postoperative GCS scores and NIHSS scores between groups A and B. No significant differences were seen in the post-healing mRS scores between the two groups. 3. The incidence of postoperative complications was significantly higher in group B compared to group A (p<0.05), with the most significant incidence of intracranial infection (p<0.05)
Conclusion: Both neuronavigation-assisted intracerebral haematoma puncture and drainage and neuroendoscopic haematoma removal are effective in improving the outcome of patients with hypertensive cerebral haemorrhage. The disadvantage of neuronavigation is that the incidence of complications is significantly higher, and postoperative care and prevention of complications should be strengthened in clinical practice.
Characterization of Pt-Nd co-doped Ti/SnO2-Sb nanosphere electrodes prepared using the hydrothermal method
Authors: Li Yang , Ma Hairun , Li Qianwei , Yan Guangxu , Guo Shaohui 
Published: September 2023

Abstract
Ti/SnO2-Sb electrodes possess high catalytic activity and efficiently degrade nitrobenzene; however, their low service life limits their wide application. In this study, we used one-step hydrothermal synthesis to successfully prepare Pt-Nd co-doped Ti/SnO2-Sb nanosphere electrodes. Scanning electron microscopy, X-ray diffraction, and X-ray photoelectron spectroscopy were applied to characterize the surface morphology, microstructure and chemical composition of the electrodes, respectively. The electrochemical activity and stability of the electrodes were characterized via linear sweep and cyclic voltammetry, electrochemical impedance spectroscopy, and an accelerated service life test; their performance for nitrobenzene (NB) degradation was also studied. An appropriate amount of Pt-Nd co-doping refined the average grain size of SnO2 and formed a uniform and compact coating on the electrode surface. The oxygen evolution potential, total voltammetric charge, and electron transfer resistance of the Ti/SnO2-Sb-Nd-Pt electrodes were 1.88 V, 3.77 mC/cm2, and 11.50 Ω, respectively. After Pt-Nd co-doping, the accelerated service life of the electrodes was extended from 8.0 min to 78.2 h (500 mA/cm2); although the NB degradation rate decreased from 94.1–80.6%, the total amount of theoretical catalytic degradation of NB in the effective working time increased from 17.4 mg/cm2 to 8754.1 mg/cm2. These findings reveal good application potential for the electrodes and provide a reference for developing efficient and stable electrode materials.
Coordinative Activities of STAT3 Inhibitor BP-1-102 and Sorafenib Against Proliferation, Angiogenesis and EMT in Hepatocellular Carcinoma
Authors: Zhang Hongmin , Wang Zhuo , Yu Jingting , Yan Ming , Xiao Wen'ang , Li Jia'an 
Published: September 2023

Abstract
Sorafenib, the only standard chemotherapeutic drug for unresectable hepatocellular carcinoma (HCC), exerted unsatisfactory efficacy and resistance in HCC treatment, raising the urgent need to develop effective therapeutic strategies. Based on clinical studies where constitutively activated signal transducer and activator of transcription 3 (STAT3) was observed in patients resistant to sorafenib, we evaluated if an “add-on” strategy can be developed using STAT3 inhibitor, BP-1-102, to potentiate therapeutic outcomes. This strategy aims to reduce sorafenib dosages to avoid adverse systemic reactions and inhibit carcinogenesis to prevent disease relapse. In this study, the in vitro effects of this strategy were examined using proliferation assay, invasion assay, tube formation assay, western analysis, etc. In vivo effects were studied using the ectopic and orthotopic HCC models in athymic BALB/c nude mice. Our results showed that the combination of sorafenib and BP-1-102 synergistically inhibited cellular proliferation, angiogenesis, progression of epithelial-mesenchymal transition (EMT), and metastasis both in vitro and in vivo. Mechanism studies revealed that BP-1-102 enhanced the therapeutic effect of sorafenib by coordinatively reducing the transcriptional level of oncogenic STAT3 by reversing the level of p-STAT3(Ser727) which was inhibited by sorafenib. Besides, our findings clearly indicated that STAT3 (Ser727) could repress the STAT3 (Tyr705) level and lead to decreased transcriptional activity of STAT3. Our findings indicate that STAT3 inhibitor is a highly potent sorafenib adjuvant in cancer therapy deserving further development.
The Characteristics of Screen for Tuberculosis among Freshmen in Changping District, Beijing, China
Authors: Cao Xiaolong , Song Zexuan , He Wencong , Yang Zhen , Sun Qian , Wang Yiting , He Ping , Zhao Bing , Zhang Zhiguo , Zhao Yanlin 
Published: September 2023

Abstract
Background Screening for Tuberculosis (TB) is a critical tactic for minimizing the prevalence of illness within schools. Tuberculosis Preventive Therapy (TPT), in turn, effectively staves off the development of TB from latent tuberculosis infection (LTBI). Unfortunately, there is limited research on LTBI and TPT among students. This study aimed to assess LTBI in freshmen and advocate for the implementation of TPT. Methods The prospective study collected data from 12 educational institutions within the Changping District of Beijing. Using statistical methods, we analyzed potential factors impacting the LTBI rate, and scrutinized the possible causes behind the low application of TPT and its efficacy for LTBI treatment. Results Among 19872 freshmen included in this study, 18 active TB cases (91/10,0000) and 2236 LTBI cases (11.6%) were identifided, respectively. Furthermore, of those with LTBI, 1045 (5.4%) showed a strong positive for purified protein derivative (PPD), but only 312 opted for TB preventive treatment. There appeared to be no significant difference in the prevalence of LTBI and TPT rate between male and female students. Concurrently, 11 (71/100,000) and 7 (158/100,000) cases of active tuberculosis were identified in 6 universities and 6 higher vocational colleges, respectively. Interestingly, almost all freshmen who underwent TPT came from universities, suggesting a statistically significant disparity in TPT rate (χ2 = 139.829, P < 0.001) between these two types of educational institutions. Meanwhile, as for the age-wise distribution of latent infection among 17–20 years old freshmen, the LTBI rate exhibited 10.5%, 11.6%, 12.1% and 13.5%, respectively. Correlation between LTBI rate, the strong positive rate was statistically significant among different ages (χ2 = 34.559, P < 0.001). Over a follow-up period of 2 years, three students were diagnosed with active tuberculosis, one of which was resistant to rifampicin. All three students manifested a strong positive for PPD and declined preventive treatment during TB screening. Conclusions The data indicates a high rate of LTBI amongst students in areas with a heavy TB burden, potentially leading to cross-regional TB transmission due to the migration of students. Education level might contribute to the limited uptake of TPT. Therefore, improving the implementation of TB preventive treatments is crucial in controlling and preventing TB across schools.
Role of narrative education in cultivating humanistic care and empathy in nursing students
Authors: Huang Qionglei , Zhao Xiaoting , Liu Min , Tang Tang , Song Jiangyan , Li Huiping 
Published: September 2023

Abstract

Objective The aim of this study was to analyze the effects of narrative teaching in “Basic Nursing” course.
Methods The cluster randomized controlled trial was conducted between March 2022 and December 2022 in a university in Anhui, China. Four class clusters comprising 128 nursing students were included in this trial, Participants were trained in narrative education.The Caring Ability Inventory (CAI) and The Jefferson Scale of Empathy–Medical Student version (JSE–MS) were used to evaluate humanistic care ability and empathy of nursing students in pre- and post-intervention.Colaizzi data analysis was used to analyze nursing students' reflection diaries.
Results The results showed that the after-narrative education, the humanistic care ability score and the empathy score was higher than pre- intervention (P<0.05). Three themes emerged from the reflective diary analysis:increasing the teaching effect, enhancing the humanistic care ability, and improving the empathy ability of nursing students.
Conclusion The results of this study suggest that narrative education improved humanistic care ability and empathy, and enhanced the learning effect of nursing students.
A comprehensive pan-cancer analysis and prediction model revealed that FAM189A2 is an immune-related gene and a prognostic biomarker for esophageal adenocarcinoma
Authors: Zhang Junqi , Mi Junjie , Wang Rong , Yang Zhiping 
Published: September 2023

Abstract
Background Recent research indicates that FAM189A2 plays a significant role in the development of various types of cancer. However, its aberrant expression and prognostic value in human esophageal adenocarcinoma (EAC) have not been thoroughly described. The study aimed to assess the prognostic value of FAM189A2 in EAC.Materials and Methods The Cancer Genome Atlas (TCGA) databases for patients with EAC, as well as 32 other types of cancer, were searched in this study to retrieve the expression profiles and clinical information. Using the R package DESeq2, we performed differential gene analysis between the high and low FAM189A2 expression groups. The enrichment analysis of the differential genes using the ClusterProfiler package was then conducted. In addition, the single-sample gene set enrichment analysis (ssGSEA) algorithm was employed to analyze immune infiltration in the high and low FAM189A2 expression groups. Univariate and multivariate Cox analyses were conducted to construct prognostic models based on FAM189A2 expression. Finally, we analyzed the prognostic value of FAM189A2 in both EAC and pan-cancer.Results The enrichment analysis revealed a significant association between FAM189A2 and cholesterol metabolism, as well as complementary coagulation. The analysis of immune infiltration indicated a positive correlation between FAM189A2 and mast cells and CD8 T cells. Low expression of FAM189A2 was identified as an independent poor prognostic factor for overall survival (OS). Moreover, the abnormal expression of FAM189A2 was found to impact the prognosis of several cancers, including EAC.Conclusions Our findings demonstrate, for the first time, the influence of FAM189A2 on the prognosis of EAC. These results lay the foundation for future studies investigating the relationship between FAM189A2 and EAC.
Insurance retreat in residential properties from future sea level rise
Authors: Storey Belinda , Owen Sally , Zammit Christian , Noy Ilan 
Published: September 2023

Abstract
How will the increased frequency of coastal inundation events induced by sea level rise impact residential insurance premiums, and when would insurance contracts be withdrawn? We model the contribution of localised sea level rise to the increased frequency of coastal inundation events. Examining four Aotearoa New Zealand cities, we combine historical tide-gauge extremes with geo-located property data to estimate the annual expected loss from this hazard, for each property, to establish when insurance retreat is likely to occur. We find that as sea level rise changes the frequency of inundation events, 99% of properties currently within 1% AEP coastal inundation zones can expect at least partial insurance retreat within a decade (associated with less than 10cm of sea level rise). Our modelling predicts that full insurance retreat is likely within 20 - 25 years, with timing dependent on the tidal range in each location, and, more intuitively, on the property’s elevation and distance from the coast.
Architecture for sub-100 ms Liquid Crystal Reconfigurable Intelligent Surface Based on Defected Delay Lines
Authors: Neuder Robin , Späth Marc , Schüßler Martin , Jiménez-Sáez Alejandro 
Published: September 2023

Abstract

Reconfigurable Intelligent Surfaces (RISs), comprised of passive tunable elements, are emerging as an essential device for upcoming Millimeter Wave and Terahertz wireless systems. A fundamental aspect of the device involves the tuning technology used to achieve reconfigurability. Among alternatives such as semiconductors and MEMS, Liquid Crystal (LC) offers advantages such as cost- and power-effective large-panel scalability. In this context, conventional LC-RIS approaches face limitations in optimizing for bandwidth, response time and loss simultaneously, requiring trade-offs between them. In this work, we detail a new architecture for LC-RIS with compact defected delay lines that provide continuous, 360-degree tunability, enabling RISs with fast response time, wide bandwidth and low loss. A RIS with a thin 4.6 μm LC layer is designed, fabricated, and characterized, exhibiting response times of 72 milliseconds, insertion losses below 7 dB, and a 6 GHz (10.9%) bandwidth at 62 GHz, all while utilizing a lossy glass substrate and gold as a conductor.