bluuebunny/crossref_metadata_2025_split huggingface dataset:
GAN-Based Fault Diagnosis Method for Aircraft Hydraulic System Under Data Imbalance
Authors: Shen Kenan , Zhao Dongbiao 
Published: March 2023

Abstract
In actual operating of the aircraft hydraulic system, the frequency of occurrence of the fault status is much lower than that of the normal status. The faults of the aircraft hydraulic system are very expensive to replicate, making it unrealistic to conduct a real fault simulation experiment of the aircraft hydraulic system. Hence, a large number of data samples related to the normal status of the aircraft hydraulic system is available but very few data samples related to the fault status. This causes a severe data imbalance in the fault diagnosis of the aircraft hydraulic system, that is, the data samples for the normal operation are much more numerous than the fault data samples, which will directly affect the accuracy of aircraft fault diagnosis. To solve the data imbalance in the fault diagnosis of the aircraft hydraulic system, this paper used an auxiliary classifier and gradient penalty Wasserstein generative adversarial network (ACWGAN-GP) algorithm, which can stably and accurately generate high-quality simulated fault data using a small number of fault data, and perform accurate fault diagnosis by using the imbalanced fault data. The ACWGAN-GP algorithm expands the fault data set until a balance is achieved between the normal and fault data. It was verified by simulation that the simulated fault data obtained by this algorithm were highly similar to the real fault data. Hence, the generated data can be used similar to the real fault data. In addition, multiple data-driven intelligent fault diagnosis methods were used to verify the validity of the data and improve the accuracy rate of the fault diagnosis methods. It is concluded that the accuracy level of fault diagnosis increases steadily when the number of fault data is gradually increased until it finally reaches a balance with the number of normal data. In addition, the sample generation mode of the ACWGAN-GP model can be applied to fault diagnosis in other fields.
Indoor and outdoor seamless positioning algorithm based on UWB/GNSS
Authors: Zhao Xiaojun , Li Wei , Wang Hao 
Published: March 2023

Abstract
This paper proposes a positioning mode switching algorithm for positioning tags based on the joint system confidence and motion trend. The algorithm is based on establishing the position estimation confidence of the UWB/GNSS system and the confidence fusion seamless positioning algorithm of particle filtering, which uses a combination of hard and soft switching to achieve seamless positioning. Through the experiment, the positioning accuracy of the positioning tag is measured to be 50.6cm and 56.4cm in the indoor area and the stationary state in the mixed area, with the standard deviation less than 32cm and less than 36cm, respectively; the walking trajectory is stable and clear in the indoor and outdoor dynamic test, and the positioning switching effect is obvious.
Virtual Reality in Medical Education during the COVID-19 Pandemic; A Systematic Review
Authors: Mehraeen Esmaeil , Dashti Mohsen , Ghasemzadeh Afsaneh , Afsahi Amir Masoud , Shahidi Ramin , Mirzapour Pegah , Karimi Kiana , Rouzi Mohammad Dehghan , Bagheri AmirBehzad , Mohammadi Samaneh , SeyedAlinaghi SeyedAhmad 
Published: March 2023

Abstract
Introduction: With the outbreak of the COVID-19 disease and the virtualization of education, many challenges were created in the field of medical education. Many of these challenges were turned into opportunities with the help of new technologies such as virtual reality. The purpose of this research was to investigate the applications of virtual reality in medical education in the era of COVID-19.
Methods: We aimed to investigate new technologies’ applications in medical education during the COVID-19 pandemic. Original English articles were browsed in online databases of PubMed, Embase, Scopus, and Web of Scienceas of November 24, 2022. Data of eligible publications were extracted following screening/ selection in two steps and applying inclusion/ exclusion criteria. This systematic review follows PRISMA checklist and Newcastle-Ottawa Scale (NOS) bias assessment tool.
Results: Based on the included articles, Microsoft HoloLense2 and Meta Oculus devices were used extensively in medical training studies. In some of the studies, the results demonstrated that the use of these technologies resulted in high levels of engagement, was suitable for training purposes, and decreased the risk of medical learning practicums. Moreover, some studies observed improvement in training compared to traditional training systems.
Conclusion: Extended reality use including Virtual Reality (VR), Mixed Reality (MR), and Augmented Reality (AR) concepts in teaching activities and practical procedures can improve the overall educational process, while also increasing engagement, motivation, and understanding of key concepts of participants, especially medical students.
Morphological features of the acetabulum with coxa profunda: A retrospective observational study
Authors: Kato Michitaka , Ando Takanori , Mitamura Shingo 
Published: March 2023

Abstract
Background: Although radiographic coxa profunda is considered an indicator of acetabular over-coverage of the femoral head, recent studies do not support this. The morphological characteristics of coxa profunda are not fully elucidated. Therefore, this study aimed to verify the relationship between the pelvic characteristics and coxa profunda.
Methods: This retrospective study included the data of women who had undergone unilateral total hip arthroplasty and whose pelvic anteroposterior radiographs revealed normal hip joint morphology on the contralateral side with a distance of ≥2 mm between the ilioischial line and acetabular floor. Five parameters were measured with axial computed tomography at the central hip joint and compared between the coxa profunda (n = 39) and control (n = 34) groups. Parameters included those related to acetabular anteversion and thickness and bony region position representing the ilioischial line.
Results: The mean acetabular anteversion angle was 12.5 ± 4° and 22.3 ± 5.6° in the control and coxa profunda groups, respectively. The mean thickness of the acetabular fossa to the medial wall was 7.5 ± 1.7 and 3.9 ± 1.2 mm in the control and coxa profunda groups, respectively. The mean thickness of the acetabular fossa to the medial wall was 7.5 ± 1.7 and 3.9 ± 1.2 mm in the control and coxa profunda groups, respectively. The acetabulum was more anteverted (p < 0.001) and the acetabular bone was thinner (p < 0.001) in the coxa profunda group than in the control group. Additionally, the bony region representing the ilioischial line was located more posterior to the pelvis in the coxa profunda group than in the control group.
Conclusion: Our results suggest that in hip radiographs showing no other significant abnormal findings, coxa profunda is related to dysplasia, with anteversion of the acetabulum and lesser anterior coverage than normal. The acetabulum is also thinner than normal in coxa profunda. These findings can be useful for formulating treatment strategies for hip disorders involving coxa profunda since coxa profunda does not indicate over-coverage as conventionally interpreted; rather, coxa profunda indicates dysplasia in the anterior part of the acetabulum.
Salvage Therapy after Early Neurological Deterioration in Patients with Branch Atheromatous Disease Receiving Dual Antiplatelet Therapy
Authors: Zhong Xuemin , Yang Juan , Xu Ronghua , Wang Jian 
Published: March 2023

Abstract

Objective
We evaluated the effectiveness and safety of adding tirofiban or argatroban after early neurological deterioration (END) in patients with branch atheromatous disease (BAD) receiving dual antiplatelet therapy and compared the outcomes with those of patients who continued dual antiplatelet therapy alone.
Methods
This retrospective study focused on 135 consecutive patients with BAD and END between June 2020 and June 2022. The primary and secondary efficacy endpoints were a modified Rankin scale (mRS) score ≤ 2 at 90 days after stroke and a National Institutes of Health Stroke Scale (NIHSS) score on day 7 after END. Safety outcomes included other bleeding and mortality events.
Results
A total of 65, 33, and 37 patients were included in the dual antiplatelet therapy (DAPT), argatroban, and tirofiban groups, respectively. There was a statistically significant difference in the clinical outcome (mRS 0–2) among the three groups (P = 0.001). Post-hoc test analysis showed that the proportion of good outcomes in the tirofiban group was significantly higher than that in the argatroban and DAPT group (P = 0.011, < 0.001, Bonferroni corrected). The NIHSS score of the tirofiban group (3.32 ± 1.81) on day 7 was significantly lower than that of the argatroban (6.24 ± 3.18) and DAPT (5.62 ± 3.25) groups (P < 0.01). No severe bleeding and mortality events were observed in any of the three groups.
Conclusion
Following END in patients with BAD receiving dual antiplatelet therapy, adding tirofiban to the original treatment can help reverse the progress and improve outcomes.
Dynamic modelling for hydraulic disc brake with floating supported friction plate considering nonlinear tooth clearance impact
Authors: Pan Wenchao , Lan Hai , Wang Liming , Wang Bing , Yang Lantao , Shao Yimin 
Published: March 2023

Abstract

Floating support friction plate is one of the critical working components in high power hydraulic disc brake (HDB). Under no braking condition, the impact between floating friction plate and the inner hub of HDB is inevitably occurs due to the teeth clearances. The impact force may increase excessively due to the expansion of clearance, which arouses the risk of teeth failure of friction plate and hub. Until now, an effective dynamic model for HDB with floating support friction plate is still lacking considering non-equally distributed clearances. In order to settle this problem, a new dynamic modelling method for HDB with floating friction plate is proposed considering the nonlinear impact due to non-equally distributed and time varying teeth clearances. In the proposed method, a nonlinear dynamic model for the entire transmission system is first established with the floating friction plate taken into consideration. Then a dynamic impact force calculation method for floating friction plate and spline of inner hub is presented, in which the coupled effect of tooth clearance expansion and indexing errors are studied. Furthermore, the influence of clearance expansion and operating conditions on the nonlinear characteristics of impact force and dynamic response is investigated. Finally, an impact force measurement experimental setup for floating friction plate and spline of the inner hub is established to verify the proposed dynamic modelling method. Results show that the predicted impact force based on the proposed method agrees well with the test data in both time domain waveform and spectrum. It is concluded that this paper presents an effective modelling method for hydraulic disc brake with floating friction plate, and the influence of nonlinear tooth clearance impact can be well studied.
An Immunogenic Cell Death-Related Genes Signature: Predicting Prognosis in Patients with Cervical Cancer
Authors: Chen Chen , Yang Lei 
Published: March 2023

Abstract
Introduction:
Immunogenic cell death refers to the process by which tumor cells die as a result of external stimuli while also undergoing a non-immunogenic to immunogenic transition and influencing the body's production of an immune response against the tumor. The association between immunogenic cell death-related indicators and cervical cancer prognosis is currently unknown, despite the fact that immunogenic cell death offers fresh perspectives for immunotherapeutic treatments for malignancies. Because of this, we developed a model of genes related to immunogenic cell death to forecast the prognosis of cervical cancer patients.
Materials and Methods
In this study, the expression, clinicopathological, and mutation data of cervical cancer patient were taken from the TCGA database. The training set consisted of the RNA-seq transcriptome data of cervical cancer patients from the TCGA database along with the associated clinicopathological data, and the validation set consisted of GSE44001. Then, using the test set for validation, we built prognostic models of immunogenic cell death-related genes based on the training set, which were applied to predict the survival of cervical cancer patients.
Results
The area under the curve for the 1, 3, and 5 years survival rates was found to be 0.809, 0.695, and 0.709, respectively, in this study. The prognostic model developed based on six immunogenic cell death-related genes associated with cervical cancer prognosis was found to be useful for predicting survival outcomes for cervical cancer patients. and prognostic factors had little effect on the model we created. Additionally, we created a column line graph using this prediction model in conjunction with additional clinical variables to forecast the patients' chances of surviving.
Conclusion
The survival results of patients with cervical cancer can be more accurately predicted using the predictive model of immunogenic cell death-related genes and nomogram created in this study. Furthermore, this risk model can be utilized as a stand-alone prognostic indicator to forecast the prognosis for cervical cancer patients. Our research on the genes involved in immunogenic cell death can also help predict how other cancer types will fare in the future.
Research on the monitoring mechanism of pricing discrimination using big data versus existing platform customers under the quantum entanglement state
Authors: Zhang Na , Wang Haiyan , Yan Shuli 
Published: March 2023

Abstract
Big data is the fuel for the platform economy to take off, but it also brings the increasingly hidden and complex problem of big data-enabled price discrimination against existing customers. The quantum cognition and decision method can solve the sequential effect and interference effect caused by this problem, and make the decision maker form a reasonable strategy. The game model of big data "killing" is constructed from the perspective of platform e-commerce regulation, and the final strategy choice is "complete regulation and fair pricing", and the quantum entanglement theory is used to explain the strategy choice of both sides of the game under quantum entanglement state. The results show that the intrinsic mechanism of the regulation of big data "killing" behavior has quantum properties based on platform e-commerce and platform sellers; the regulation effect is better after considering quantum entanglement state, which can solve the problems of platform inaction and seller speculation to a certain extent and further optimize the online market trading environment.
Causal Associations Between Ulcerative Colitis and COVID-19: A Bidirectional Mendelian Randomization Study
Authors: Gong Yu , Yang Kezhen , Lan Xin , Lv Taotao , Xie Qi , Li Yinyin , Liu Jipeng , Li Rui , Yue Bingnan , Zhang Xudong , Liu Qinguo 
Published: March 2023

Abstract
Background
Corona Virus Disease 2019(COVID-19) has put human health and medical resources under strain since 2019. However, it’s still equivocal whether ulcerative colitis (UC) and COVID-19 have a bidirectional causal relationship, so we attempted to clarify this issue using two-sample mendelian randomization (two-sample MR) analysis.
Methods
To explore the relationship between ulcerative colitis and COVID-19, we obtained summary statistics from the GWAS database and used single nucleotide polymorphisms (SNPs) as a genetic tool. The inverse-variance weighted (IVW) method was chosen as the primary analytical method for two-sample Mendelian randomization analysis, complemented by a combination of MR-egger. Further validation using sensitivity analysis such as Q-test, MR-PRESSO, MR-Egger intercepts method.
Result
All forward MR analyses demonstrated that UC has a significant susceptibility and severity to COVID-19, 1. COVID-19 vs population: IVW (OR = 1.053; CI, 1.012–1.096; P = 0.009) and MR Egger (OR = 1.015; CI, 0.946–1.089; P = 0.672). 2.hospitalized vs population: IVW (OR = 1.080; CI, 1.004–1.162; P = 0.037) and MR Egger (OR = 1.009; CI, 0.882–1.153; P = 0.898). 3. very severe respiratory confirmed vs population: IVW (OR = 1.187; CI, 1.018–1.384; P = 0.027) and MR Egger (OR = 1.104; CI, 0.801–1.521; P = 0.554). In the bidirectional MR study, the P values (P > 0.05) obtained by several methods were not statistically significant.
Conclusion
There is significant evidence that UC is both a risk factor for COVID-19 and may increase the risk of COVID-19. However, there is no reverse causal relationship between the two diseases.
Human Demodex Mites (Acari: Demodicidae) as a Possible Etiological Factor in Rosacea - A Cross-Sectional Study from Turkey
Authors: Zeytun Erhan , Yazıcı Mustafa 
Published: March 2023

Abstract

Objective
This study was conducted to determine the prevalence and burden of Demodex mites in patients with rosacea, and to investigate their potential contribution to the aetiology of rosacea.
Methods
The study included 82 patients (44 with papulopustular rosacea and 38 with erythematotelangiectatic rosacea) diagnosed with rosacea by clinical examination and 82 healthy controls without dermatologic disease. Samples were obtained from each participant from the cheek, nasolabial, and chin regions using standardised skin surface biopsy (SSSB). Samples were examined under a light microscope, and Demodex species were identified and counted.
Results
Demodex positivity (≥ 5 mites) was detected in 91% of patients and 20% of controls in the study (p > 0.01). Only D. folliculorum (total 1328, mean 44.27/cm2) was detected in 37% of patients and D. folliculorum + D. brevis coinfection (total 6071, mean 134.91/cm2) in 55% of patients. Only D. folliculorum (total 97, mean 6.06/cm2) was detected in 20% of healthy controls, while D. folliculorum + D. brevis co-infection was not detected.
Conclusion
The study showed that Demodex burden in patients with rosacea was approximately 30 times higher than in healthy controls and was caused by coinfection of D. folliculorum and D. brevis (mean Demodex burden: 179.18/cm2 in patients, 6.06/cm2 in healthy controls). It was concluded that Demodex infestation, especially co-infection with D. folliculorum and D. brevis, may be a potential factor in the aetiology of rosacea that should not be ignored in the clinic, and that it may be appropriate to initiate antiparasitic treatment when the parasite is detected.
The cell adhesion receptor TMIGD1 recruits Scribble to the basolateral membrane via direct interaction
Authors: Ebnet Klaus , Thüring Eva-Maria , Hartmann Christian , Maddumage Janesha , Javorsky Airah , Michels Birgitta , Gerke Volker , Banks Lawrence , Humbert Patrick , Kvansakul Marc 
Published: March 2023

Abstract
Scribble (Scrib) is a multidomain polarity protein and member of the leucine-rich repeat (LRR) and PDZ domain (LAP) protein family. A loss of Scrib expression is associated with disturbed apical-basal polarity and tumor formation. The tumor suppressive activity of Scrib depends on its membrane localization. However, despite the identification of numerous Scrib-interacting proteins, the mechanisms regulating its membrane recruitment are unclear. Here, we identify the cell adhesion receptor TMIGD1 as a membrane anchor of Scrib. TMIGD1 directly interacts with Scrib through a PDZ domain-mediated interaction. We characterize the association of the TMIGD1 C-terminus with each Scrib PDZ domain and describe the crystal structure of the TMIGD1 peptide – Scrib PDZ1 complex. We also find that TMIGD1 recruits Scrib to the lateral membrane domain when the LRR region is absent. Our findings describe a mechanism of Scrib membrane localization and contribute to the understanding of the tumor suppressive activity of Scrib.
Impact of shipping emissions regulation: Urban aerosol composition changes revealed by receptor and numerical modelling
Authors: Jang Eunhwa , Choi Seongwoo , Yoo Eunchul , Hyun Sangmin , An Joongeon 
Published: March 2023

Abstract
Various shipping emissions controls have recently been implemented at both local and national scales. However, it is difficult to track the effect of these on PM2.5 levels, owing to the non-linear relationship that exists between changes in precursor emissions and PM components. Positive Matrix Factorization (PMF) identifies that a switch to cleaner fuels since January 2020 results in considerable reductions in shipping-source-related PM2.5, especially sulphate aerosols and metals (V and Ni), not only at a port site but also at an urban background site. CMAQ sensitivity analysis reveals that the reduction of secondary inorganic aerosols (SIA) further extends to inland areas downwind from ports. In addition, mitigation of secondary organic aerosols (SOA) in coastal urban areas can be anticipated either from the results of receptor modelling or from CMAQ simulations. The results in this study show the possibility of obtaining human health benefits in coastal cities through shipping emission controls.
Natural Hazard in Nova Friburgo (Brazil): Numerical sensitivity analysis using different parameterization combinations in the WRF model
Authors: de Souza Carolina Veiga Ferreira , Silva Maria Gertrudes Alvarez Justi da , Silva Fabricio Polifke da 
Published: March 2023

Abstract

Forecasting rainfall is essential for warning issues and mitigating natural disasters. For this purpose, the employment of numerical weather models, even with their uncertainties, can generate reliable forecasts and guide decision-makers. The accuracy of a numerical model can be verified using statistical tools, and it is an essential procedure that needs to be made operationally, aiming to increase the forecasts' reliability. Numerical precipitation forecasts for the mountainous region of Rio de Janeiro, Brazil, were performed using the Weather Research Forecasting model, configured with three spatial resolution grids of 9 km, 3 km, and 1 km, and combining different parameterizations for five physical processes: cloud microphysics, cumulus, planetary boundary layer, surface layer, and land surface. The period of interest was January 11th-12th, 2011, when large rainfall accumulations originated the fatal natural hazards in Brazil. Analyses of the spatial distribution of rainfall and its temporal evolution were performed to evaluate the predictions from the quantitative and qualitative approaches. The results showed that the Kessler (cloud microphysics), MYNN3 (planetary boundary layer), Grell-Freitas, Betts-Miller-Janjic (cumulus) parameterizations, and the two highest resolution grids (at times, one was better than the other) had predicted the highest rainfall accumulations. From the initial results, this work reinforces the importance of forecast verification, especially considering different physical parameterizations and spatial resolutions since they can strongly influence the results. Also, corroborate the importance of local numerical forecasts studies aiming to identify the best numerical configurations to forecast heavy rainfall events to alert decision-makers to the possibility of a natural hazard.