bluuebunny/crossref_metadata_2025_split huggingface dataset:
Failure Behavior and Reliability analysis of Diesel Particulate Filters based on After-sales Maintenance Data
Authors: Ahmadbeigi Shirin , Ehteram Mohammad Ali , Naeimi Abbas 
Published: January 2024

Abstract

Diesel particulate filters (DPFs) are essential tools for controlling pollution emissions. However, some DPFs may encounter failures during operation, thereby posing risks to both the diesel vehicle engine and emission control. Low-quality diesel fuel, due to its higher sulfur content, raises the risk of DPF becoming inactive. This paper examines the reliability of DPFs from a leading national vehicle manufacturer, utilizing after-sales maintenance data. Statistical analysis has been conducted on 10,833 vehicles over the years 2018 to 2022. In addition, the records of failures, the root causes of malfunctions, and the factors influencing the failures of these filters have also been investigated. The results indicate that the highest percentage of failures is associated with urban buses, and the least reliable are mini-buses. In such a way that, it can be stated that the DPFs of all mini-buses malfunction at least once after 17,000 kilometers, which is significantly lower than the defined threshold of 100,000 kilometers. The main causes of damage to the DPF substrate are leaks in the fuel and lubrication systems. Additionally, laboratory analysis of a silicon carbide DPF sample, using scanning electron microscopy (SEM) and X-ray diffraction (XRD), revealed corrosion within the DPF substrate. The chemical compounds obtained from laboratory studies indicate a high percentage of sulfur (2.28% by weight) in diesel fuel and oil leakage into the DPF. Chemical compounds obtained from laboratory studies indicate a high percentage of sulfur (2.28% by weight) in diesel fuel and oil leakage to the DPF. This study accurately demonstrates the alignment of results obtained from simulation, reliability assessment, failure root cause analysis, and laboratory analysis.
Peptide aptamer based on natural protein ligand for C reactive protein detection
Authors: Chen Xi , Cui Lili , Liu Tonggong , Zhang Ran , Chen Hongfang , Zhao Xiaona , Peng Qiang , Li Huawen , Gu Dayong 
Published: January 2024

Abstract
As a substitute for traditional antibodies, peptide aptamers have received extensive attention in recent years. However, the current research can only screen peptide aptamers from antibody sequence structures. This study changed the inherent idea that peptide aptamers were derived from antibodies in the past. Screening of peptide aptamers derived from natural protein ligands ( complement C1q ) of C-reactive proteinby bioinformatics technology to achieve specific detection of CRP, and establishing a CRP detection method in which peptide aptamers replace traditional antibodies to play a capture role. It is proved that peptide aptamers derived from natural protein ligands are feasible for detecting antigens. The results showed that the peptide aptamer C199 − 207m screened by bioinformatics could specifically bind to CRP, and the established sandwich ELISA technology with capture function of peptide aptamer C199 − 207m could be used to detect CRP with good accuracy, specificity, repeatability, sensitivity and ideal detection range. Peptide aptamers based on natural protein ligands replace traditional antibodies to capture antigens, which is a new attempt that can be applied to the immunoassay of CRP or related proteins.
The efficacy of electroacupuncture in the treatment of osteoporotic thoracolumbar compressionfractures in menopausal women:a study protocol for a prospective, two-arm, single-center randomized controlled trial.
Authors: Guo Tongtong , Jiang Yutong , Zhang Guifeng , Li Wanyao , Cai Xiaowen , Cai Shaoren , Huang Yong 
Published: January 2024

Abstract
Background
Osteoporotic vertebral compression fracture(OVCF) of menopausal women is more prone to result in functional pain, limitations, and significant disability due to lower estrogen levels. Acupuncture therapy is widely used to treat it as an alternative conservative therapy in China, but there is a relative lack of high-quality clinical evidence. This trial designed an electroacupuncture treatment method and aimed to investigate EA’s effectiveness in treating OVCF.
Methods and analysis
Using stratified sampling, 124 menopausal women who meet the inclusion criteria will be equally divided into the medication group(MD) and the electroacupuncture(EA) group. The duration of the intervention is eight weeks in each group and participants will be followed up until the twelfth week. The medication group will be treated with alendronate, calcitonin, calcium carbonate, and Vitamin D supplements for 8 weeks. In the EA group, BL23, BL25, BL40, BL60, GV20, KL3, GB34 andST36 will be electrically stimulated once a day for the first four weeks and once every two days for the last four weeks. Primary outcomes include the visual analogue scale (VAS) and bone mineral density (BMD) and secondary outcomes include propertied of type I procollagen(PINP), the Oswestry dysfunction index (ODI), and the Quality of Life Questionnaire (QUALEFFO-41), which will be evaluated at baseline, the 4th week, the 8th week and the 12th week selectively.Statistical analysis will be performed by SPSS, and the p-value< 0.05 is considered significantly different.
Discussion
This study will help determine the efficacy of electroacupuncture in the treatment of compression fractures and provide an optimized treatment option for menopausal women OVCF patients.
Should major trauma fractures be part of a fracture liaison service’s remit: A cost benefit estimate
Authors: Chandrasoma  , Chiu Simon , Niddrie  , Major  
Published: January 2024

Abstract

Purpose
To compare the 3 year refracture rate following minimal trauma (MT) and non-minimal trauma (non-MT) injuries and evaluate the cost of extending fracture liaison service (FLS) operations to non-MT presentations.
Methods
Patients aged 50, or above presenting to the John Hunter Hospital with a fracture in calendar year 2018 were identified through the Integrated Patient Management System (IPMS) of the Hunter New England Health Service’s (HNEHS), and re-presentation to any HNEHS facility over the following 3 years monitored.
The refracture rate of MT and non-MT presentations was compared and analysed using Cox proportional hazards regression models. The cost of including non-MT patients was estimated through use of a previously conducted microcosting analysis. The operational fidelity of the FLS to the previous estimate was confirmed by comparing the 3 year refracture rate of MT presentations in the two studies.
Results
The 3 year refracture rate following a MT injury was 8 % and after non-MT injury 4.5 %. Extension of FLS activities to include non-MT patients in 2022 would have cost an additional $198,326 AUD with a notional saving of $201, 351 AUD through refracture risk reduction. No clinically available characteristic at presentation predictive of increased refracture risk was identified.
Conclusion
The 3 year refracture after a non-MT injury is about half (57%) that of the refracture rate after a MT injury. Extending FLS activity to non-MT patients incurs a significant additional direct cost but remains cost neutral if notional savings gained through reduction in refracture risk are taken into account.
Incident Angle-dependent TM-TE splitting effect of topological photonic interface states
Authors: Zhao Degang , Li Pan , Guo Yuan , Xi Ying , Xiang Ying , Gao Wei , Zhang Xin 
Published: January 2024

Abstract

Topological phases in photonic systems have garnered significant attention, often relying on precise structural design for generating non-trivial topological phases. This study systematically explores incident angle-induced topological phase transitions in a one-dimensional photonic crystal (PC). Both TE and TM polarized modes undergo topological phase transitions at the same critical transition angles. Additionally, the TM-polarized mode undergoes a unique topological phase transition at the Brewster angle. Interestingly, when these two kinds of transition angles coincide, even the band structure of TM-polarized mode undergoes an open-close-reopen process, the topological properties of the corresponding bandgap remain unchanged. Based on theoretical analysis, we design a superlattice comprising two interfaced PCs having common bandgaps but different topological properties. By tuning the incident angle, we theoretically and experimentally achieve TE-TM splitting of topological interface states in the visible region, which may have potential applications in optical communications, optical switching, photonic integrated circuits, and so on.
Multi-View Context Awareness based Transport Stay Hotspot Recognization
Authors: Wu Tao , Mao Jiali , Zhu Yifan , Zhu Kaixuan , Zhou Aoying 
Published: January 2024

Abstract

During long distance transporting for bulk commodities, the trucks need to stop off at multiple places for resting, refueling, repairing or unloading, which are important in transport route planning, called as transport stay hotspots (or Tshot for short). Massive waybills and their related trajectories accumulated by the freight platforms enable us to recognize Tshots and keep them updated constantly. But due to most of Tshots have varying sizes and are adjacent to each other, it is hard to pinpoint their locations precisely. In addition, to correctly annotate functional tags of Tshots that have fewer visiting trajectories is quite difficult. In this paper, we propose a Multi-view Context awareness based transport Stay hotspot Recognization framework, called MCSR, consisting of location identification, feature extraction and functional tag annotation. To address the mis-detection issue in pinpointing adjacent Tshots having various sizes, we design a multi-view clustering based stay area merging strategy by incorporating distance between road turn-off locations, number of visiting trajectories with similarity of visiting time distribution. Further, aiming at the issue of low annotating precision resulted by data scarcity, based upon extracting behavioral features and attribute features from waybill trajectories, we leverage a time interval-aware self-attention network to extract semantic contextual features to assist in ensemble learning based annotation modeling correctly. Finally, extensive experiments and case studies are conducted on real steel logistics data to demonstrate the effectiveness and practicability of MCSR.
Endovascular Coiling versus Neurosurgical Clipping in the Management of Aneurysmal Subarachnoid Haemorrhage in the Elderly: A Multicenter Cohort Study
Authors: Lee Keng Siang , Siow Isabel , Yang Lily , Foo Aaron , Zhang John , Matthews Ian , Goh Chun Peng , Teo Colin , Nagarjun Bolem , Chen Vanessa , Lwin Sein , Teo Kejia , Low Shiong Wen , Sun Ira , Pang Boon Chuan , Yang Eugene , Yang Cunli , Gopinathan Anil , Yeo Tseng Tsai , Nga Vincent 
Published: January 2024

Abstract
Introduction
The comparability of endovascular coiling over neurosurgical clipping has not been firmly established in elderly patients with aneurysmal subarachnoid haemorrhage (aSAH).
Methods
Data were obtained from all patients with aSAH aged ≥60 across three tertiary hospitals in Singapore from 2014 to 2019. Outcome measures included modified Rankin Scale (mRS) score at 3 and at 6 months, and in-hospital mortality.
Results
Of the 134 patients analyzed, 84 (62.7%) underwent coiling and 50 (37.3%) underwent clipping. The endovascular group showed a higher incidence of good mRS score 0–2 at 3 months (OR = 2.45 [95%CI:11.16–5.20];p = 0.018), and a lower incidence of in-hospital mortality (OR = 0.31 [95%CI:0.10–0.91];p = 0.026). The benefit of coiling over clipping in terms of good mRS score at 6 months showed a trend towards statistical significance (OR = 1.98 [95%CI:0.97–4.04];p = 0.060). There were no significant differences in the incidence of complications, such as aneurysm rebleed, delayed hydrocephalus, delayed ischemic neurological deficit and venous thromboembolism between the two treatment groups. However, fewer patients in the coiling group developed large infarcts requiring decompressive craniectomy (OR = 0.32 [95%CI:0.12–0.90];p = 0.025). Age, admission WFNS score I–III, and coiling were independent predictors of good functional outcomes at 3 months. Only age and admission WFNS score I–III remained significant predictors of good functional outcomes at 6 months.
Conclusions
Endovascular coiling, compared with neurosurgical clipping, is associated with significantly better short term outcomes in carefully selected elderly patients with aSAH. Maximal intervention is recommended for aSAH in the young elderly age group and those with favorable WFNS scores.
Hysteresis in ENSO teleconnections under a CO2 removal pathway
Authors: An Soon , Shin Su-hyeon , Liu Chao , Yeh Sang-Wook , Min Seung-Ki , Son Seok-Woo , Kug Jong-Seong 
Published: January 2024

Abstract
El Niño-Southern Oscillation (ENSO) is the strongest interannual phenomenon occurring in tropical Pacific, significantly affecting the entire world. Until now, the response of ENSO to increasing CO2 concentrations has been extensively studied, but the reverse scenario is still not well comprehended. Here, we investigate the hysteresis of ENSO teleconnections in a CO2 removal simulation of an earth system model. During both the ramp-up and ramp-down periods of CO2 concentrations, Pacific-North American and Pacific-South American patterns are intensified, with their poles being shifted eastward. Even more significant alterations of teleconnection pattern during the ramp-down period lead to the ENSO teleconnection hysteresis. The ENSO teleconnection hysteresis is closely linked to the hysteresis of the dominant ENSO type, ENSO skewness and the zonal shift of ENSO-induced tropical atmospheric convection. The hysteresis in the eastern Hemispheric ENSO teleconnections is primarily caused by the prevalence of eastern-Pacific type El Niño during the ramp-down periods, while in the western Hemisphere, the hysteresis effect is attributed to both the enhanced ENSO skewness and the eastward shift of anomalous atmospheric convection during the ramp-down period. The alterations originating in the tropics are predominantly associated with irreversible and intensified southward migration of the Intertropical Convergence Zone, along with a stronger El Niño-like warming trend during the ramp-down period compared to the ramp-up period.
Leveraging Attention for Improved Discriminative Correlation Filters in Single Object Tracking
Authors: Elsaid Ahmed O. , Fouad Mohamed M. , Ghoniemy Tarek S. 
Published: January 2024

Abstract

Correlation Filter-based Trackers have shown impressive results in the object tracking research, outperforming classical trackers in several benchmarks. However, accurately tracking objects with deformation, fast motion, or occlusion remains a main challenge in the process of tracking. The cyclic suggestion of training samples used in correlation filter tracking usually lead to undesirable boundary effects, that significantly reduce the tracking efficiency. To address this issues, a hybrid attention-based correlation filter method (Att-DCF) is proposed for robust object tracking. By developing a discrimination filter and reducing the limitations of irrelevant features, the proposed approach provides more accurate and consistent estimated target locations. The proposed Att-DCF tracker is evaluated using the recent and standard datasets, OTB-100, Temple-Colour128, and UAV123. Compared to the baseline DCF tracker, the proposed tracker achieves an improvement of 2.71$\%$ and 1.38$\%$ in terms of area under the curve and precision measures using the OTB-100 dataset, 3.99$\%$ and 3.43$\%$ using the Temple-Colour128, and 4.72$\%$ and 1.76$\%$ using the UAV123, respectively.
Single-row and double-row shoulder suture techniques, combined with dynamic-static modeling, were employed for finite element analysis of the three-dimensional mechanics of the shoulder joint
Authors: Wang Yan , Yang Di , Zhang Kaiwei 
Published: January 2024

Abstract
Objective: Analyzing the mechanical differences in shoulder cuff repair between single-row and double-row suture techniques from a three-dimensional biomechanical perspective. This study aims to guide the selection of the most suitable surgical approach based on preoperative conditions and recommend appropriate postoperative rehabilitation training.
Methods: CT scan data of adult shoulder joints were imported into Mimics software for data extraction, reconstructing the geometric model of the shoulder joint. Subsequent repairs, noise reduction, and surface smoothing were performed using Geomagic Studio 2017. The model was then assembled in SolidWorks 2017, followed by meshing and boundary condition loading in ANSYS 17.0 for various computational analyses.
Results: Single-row and double-row suture techniques exhibit different muscle recovery effects at various angles. Considering prevention of re-tearing, muscle adhesion, and varying degrees of rotator cuff injuries, different repair techniques and rehabilitation training angles should be taken into account.
Conclusion: Double-row suture technique outperforms the single-row technique, mainly due to its larger contact area, providing effective postoperative assistance to human movement and demonstrating better overall effectiveness. However, depending on the specific injury context outlined in the study, the single-row suture technique may still be considered during surgery.
Oral immunization with acidified sucralfate@N-2-HACC/CMCS NPs elicits protective immune response in guinea pigs
Authors: Zhao Zhi , Qiao Shuai , Jin Zheng , Zhang Chunjing , Yin Tan Hui , Zhao Kai 
Published: January 2024

Abstract
Oral administration of vaccine is required to preserve the vaccine against degradation, enhance antigen absorption in the gastrointestinal tract, and trigger adaptive immune responses. Nanomaterials are an ideal delivery vector for the creation of oral vaccines, and we have previously shown that N-2-hydroxypropyl trimethyl ammonium chloride chitosan (N-2-HACC)/N,O-carboxymethyl chitosan (CMCS) based vaccine via oral administration led to protection against Newcastle disease virus. Hence, based on the immune adjuvant activity of N-2-HACC/CMCS nanoparticles and the advantage in resisting harsh gastric conditions of sucralfate acidified (SA), we constructed an oral vaccine delivery system based on SA and N-2-HACC/CMCS nanoparticles (SA@N-2-HACC/CMCS NPs), and the NPs were formulated to incorporate BSA. The SA@N-2-HACC/CMCS NPs had a particle size of 227 ± 7.0 nm and a zeta potential of 8.43 ± 2.62 mV. The NPs displayed slow and sustained release and high stability in simulated gastric juice and intestinal fluid. RAW 264.7 could better uptake the SA@N-2-HACC/CMCS/BSA NPs. The vaccine via oral administration markedly enhanced the residence time of BSA in the intestine for more than 12 h and elicited the production of IgG and sIgA. The SA@N-2-HACC/CMCS NPs developed here for oral administration is an excellent technique for delivering antigens and provides a path of mucosal vaccine research.
From Regional Integrated Development towards Sustainable Future: Evaluating the Belt and Road Initiative's Impact between Tourism, Fintech and Inclusive Green Growth
Authors: iftikhar huma , Ullah Atta , Pinglu Chen 
Published: January 2024

Abstract

China has incorporated the principle of inclusive green growth from the initiation of the Belt and Road Initiative (BRI) in 2013. Inclusive green growth is a balanced pathway that benefits economy, society, and the environment. Recognizing the trade-offs between economy and environment, it becomes imperative to analyze the influence of BRI on fostering inclusive green growth. This research is utilizing panel data of 148 BRI countries spanning the period from 2004 to 2021 (9 years before BRI, and 9 years after BRI). Additionally, the research investigates the moderating influence of BRI in enhancing the effects of tourism and financial technology (Fintech) on inclusive green growth by utilizing two-step system Generalized Method of Moments (GMM) approach. Outcomes reveal that the BRI positively moderates the influence of tourism and Fintech on inclusive green growth. Control factors, such as institutional quality, KOF globalization index, and renewable energy to total energy ratio promote inclusive green growth, while urbanization, household consumption per capita, and socio-economic conditions hinder the progress. The implications of this research are significant as it emphasis on the role of BRI in supporting tourism activities and exploring contemporary financial technologies for the accomplishment of United Nations’ sustainable development goals (SDGs).
Advancing MRI Capacitors: Design, Fabrication, and Characterization
Authors: JEBRI Zaineb , ALI Mahfoudh TALEB , Juergen Nistler 
Published: January 2024

Abstract
In today's healthcare landscape, MRI (magnetic resonance imaging) plays a pivotal role in early diagnosis and treatment decisions. However, the quest for higher frequencies to achieve micron-level resolutions poses technological challenges. This paper focuses on coils and capacitors, with special attention to air gap considerations for movable electrodes. The paper delves into the development of adjustable capacitors using high-fired NP0 ceramic, tailored for 128 MHz MRI systems. These capacitors boast impressive specs: a 3 kV breakdown voltage (VBreakdown), a 3 pF minimum capacitance (Cmin), a 30 pF maximum capacitance (CMax), and a 1.5 pF stepwise capacitance variation (Cvariation step). Notably, they enhance breakdown voltage while preserving frequency stability with MgTiCa ceramic between the fixer and mobile electrode, critical for adaptive blocks. Leveraging geometrical parameters analyzed through the ANSYS simulator, we meticulously designed an optimized 25-40 pF capacitor with a 15mm height and 1600 mm2 surface area. Post-fabrication and sintering, extensive testing using a vector network analyzer across 10 MHz to 100 MHz validated performance against simulated expectations.
Adversarial training-based denoising autoencoder for robustness against industrial data noise
Authors: Ning Zixiong , Xie Shiwen , Xie Yongfang , Wang Jie , Chen Xiaofang 
Published: January 2024

Abstract
Background: The collection of industrial data will inevitably introduce various types of noise. Recently, deep learning has shown promising results in implementing various industrial data applications. However, existing deep learning-based model are still vulnerable to data noise, which could deteriorate the performance of the models.
Methods: In this paper, we propose an adversarial training-based denoising autoencoder, called Adv-DAE, for industrial process modeling that is robust to noise interference. Due to the difficulty in obtaining datasets that cover all possible data noise characteristics, the proposed framework is developed to be zero-shot such that the model can be trained with only noise-free dataset without requiring any type of data noise, thus greatly saving the time and resources required to generate noise samples. In contrast, adversarial training is a gradient-based attack method, which can generate noisy corruption during the training processes, hence we serve the adversarial training method as the alternatives. Moreover, the adversarial examples generated by Adv-DAE are more difficult to identify than traditional noise types and can maximally corrupt clean sample data. We further provide theoretical convergence analysis for the proposed Adv-DAE to guarantee its successful practical application.
Results: Case studies on benchmark image datasets, the benchmark Tennessee Eastman Process and the real-world aluminum electrolysis process are presented to verify the effectiveness of Adv-DAE.Experimental results show that our proposed Adv-DAE has more robust feature extraction ability than the compared methods.
Conclusions: An adversarial training-based denoising autoencoder for robustness against industrial data noise is realized by our proposed algorithm.