bluuebunny/crossref_metadata_2025_split huggingface dataset:
Fault detection and quantitative assessment of wheel diameter difference based on ensemble adaptive tunable Q-factor wavelet transform and mixed kernel principal component analysis
Authors: Sui Shunqi , Wang Kaiyun , Chen Shiqian 
Published: September 2023

Abstract
Tread wear is inevitable for railway vehicles. Because of the complicated railway condition, the wear rates of the two wheels of a wheelset are usually unequal, which leads to the wheel diameter difference (WDD). The WDD shortens the service life of the wheelset and deteriorates the dynamic performance of railway vehicles. Therefore, it has long been desired to monitor and quantify the WDD condition. However, influenced by the random irregularity, the effective vibration features induced by the WDD may be completely submerged in noise. In this paper, an adaptive TQWT decomposition method is proposed for denoise and feature enhancement. In this method, a new evaluation index is constructed and used to determine parameters. The influence of the WDD on the vibration of the wheelset can be more obvious after denoised by the adaptive TQWT decomposition. Mixed kernel principal component analysis is introduced into the condition monitoring and quantitative assessment of the WDD. By calculating the Hoteling’s

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and SPE statistics, control charts are employed to identify and assess the WDD conditions quantitatively in conjunction with the corresponding control limits. The effectiveness of the proposed method is validated by the simulation and experimental study. For the experimental datasets, the proposed method gives the average fault detection rate (FDR), false alarm rate (FAR), false alarm rate (PA) of 92.74%, 2.23%, 97.47% for the

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statistic and the average FDR, FAR, PA of 96.57%, 2.60%, 97.29% for the SPE statistic. The results show that the proposed method can effectively monitor the WDD conditions.
Investigating the influence of topology on elastic properties in spinodal microstructures
Authors: Golnary Farshid , Asghari Mohsen 
Published: September 2023

Abstract
Spinodal topologies formed through self-assembly processes exhibit unique mechanical properties, such as smoothness and non-periodicity, making them resistant to buckling and manufacturing defects. While extensive research has focused on their mechanical behavior, limited attention has been given to understanding the impact of their complex topology. This study aims to investigate the relationship between the topological features of two-dimensional spinodal topologies, characterized using computational homology, and their elastic response by analyzing scaling laws. Sensitivity analysis was conducted to determine the influence of various topological characteristics on Young’s modulus and Poisson’s ratio. Computational homology techniques were used to measure Betti numbers, which represent the number of loops and disjoint regions in the spinodal topologies. Additionally, these techniques were also employed to determine the size of these loops and regions. Among all the topological characteristics studied, the number and size of loops were found to have the highest influence on the elastic properties, specifically Young’s modulus and Poisson’s ratio. Understanding the rules that govern the way two-dimensional spinodal topologies respond elastically is crucial for comprehending how they behave mechanically and for optimizing their performance. The research findings highlight the significant impact of certain topological features, specifically the number and size of loops, on the material properties. This knowledge provides valuable insights for designing and engineering spinodal structures.
Global dynamics of a reaction-diffusion brucellosis model with spatiotemporal heterogeneity and nonlocal delay
Authors: Liu Shu-Min , Bai Zhenguo , Sun Gui-Quan 
Published: September 2023

Abstract
The increase of animal transportation and livestock lead to repeated outbreaks of brucellosis, and its transmission process is extremely complex. According to the clinical symptoms and infectious differences of the diseased sheep, it is further divided into acute infection and chronic infection, and a reaction-diffusion SLICB (susceptible-latent-acute infected-chronic infected-brucella) model with seasonality, spatial heterogeneity and nonlocal delay is proposed to understand the transmission law of brucellosis and analyze its transmission risk. Based on the basic reproduction number

0

of the model, the final development trend of brucellosis transmission among sheep is analyzed by persistence theory. The

0

of the model is numerically calculated by the generalized power method, and simulation analysis shows that: (i) extending the latent period and increasing the random walk rate of infected sheep can effectively prevent brucellosis from developing into an endemic disease; (ii) the greater the density of acute infections, the higher the risk of brucellosis transmission, and the density of infected sheep and the time to reach the stable state will have a large deviation if only consider acute or chronic sheep; (iii) reaching the peak time will be delayed if the peak time of sheep birth is delayed. These results can provide some suggestions for the control of brucellosis.
Aubry–Mather theory on graphs
Authors: Siconolfi Antonio , Sorrentino Alfonso 
Published: September 2023

Abstract
We formulate Aubry–Mather theory for Hamiltonians/Lagrangians defined on graphs, study the structure of minimizing measures, and discuss the relationship with weak KAM theory developed in Siconolfi and Sorrentino (2018 Anal. PDE
1 171–211). Moreover, we describe how to transport and interpret these results on networks.
The potential of wildlife diversity and possible roles in oil palm agrosystem management: case study in Riau province
Authors: Santosa Y , Putri M M , Kwatrina R T 
Published: September 2023

Abstract
The use of chemical fertilizers and control of pests/diseases and weeds in the management of oil palm plantations, besides causing very high production costs, is also feared to have a negative impact on the environment. Therefore and in the context of fulfilling the world community’s demands, “management of oil palm plantations that optimize the use of biodiversity” is a non-negotiable decision choice. This paper is a synthesis of research that has been carried out in 8 oil palm plantations spread across the provinces of Riau. The results showed that in the oil palm agrosystem found between 3 - 9 species of mammals (Macaca fascicularis; Macaca nemestrina, Presbytis cristata, Prionailurus bengalensis, etc.). The potential roles of several types of mammals are as pollinators (Callosciurus notatus); as seed dispersers (Paradoxurus hemaphroditus), and as pest control (Prionailurus bengalensis). Further research is needed to examine the role of each mammal species in oil palm agrosystems.
Potential and role of bird diversity in various oil palm land cover of PT Selatan Agro Makmur Lestari, South Sumatra
Authors: Affandi R 
Published: September 2023

AbstractThe change in the development paradigm to a “green economy” requires the management of oil palm plantations (as one of the national strategic industries) to make more use of biodiversity in increasing its productivity. In addition to reducing production costs (the use of chemical fertilizers, chemical pest and weed control), optimizing the use of biodiversity in oil palm agrosystems will be able to realize the management of oil palm plantations in a sustainable and environmentally sound manner. This study aims to identify the potential for species diversity and the role of birds in oil palm plantation agrosystems. Data collection on the potential for species diversity was carried out on six types of oil palm plantation land cover at PT Selatan Agro Makmur Lestari, South Sumatra with the transect line method along 1 km with a width of 50 meters. As for the role of various types of birds in the ecosystem, a literature review is carried out. The highest number of species and individuals was found in shrubs as many as 19 species and 69 individuals. On the other hand, the lowest number of species and individuals was found in smallholder oil palm plantations-II with 6 species and 16 individuals. In terms of the number of individuals, cave swiftlet (Collocalia linchi) was the largest species with 58 individuals, while cerulean kingfisher (Alcedo coerulescens), pink-necked green pigeon (Treron vernans), and white-headed munia (Lonchura maja) were the species with the fewest individual encounters. (only 1 individual). Based on the literature review, the types of birds found at the research site have four ecological roles. There are insect pest controller, seed dispersers, predator, and weed controller. Further research is needed to examine more deeply the role (quantitative ecology) of each bird species in oil palm agrosystems.
Variations in species diversity and the role of butterflies in oil palm agroecosystems at PT BSM South Sumatra
Authors: Parida I 
Published: September 2023

Abstract
Reducing the use of chemical fertilizers and controlling pests/chemical diseases is one of the prerequisites for the realization of sustainable oil palm plantation management. In line with that, the paradigm of green economic development requires optimizing the utilization of biodiversity in various aspects of managing oil palm plantations in Indonesia. Therefore, research is needed that can describe the variation and role of biodiversity (one of which is butterfly taxa) in the agro-ecosystem of oil palm plantations. This study aims to identify variations in species diversity and the role of butterflies in the agro-ecosystem of oil palm plantations. Observation of butterfly species diversity was carried out on seven types of oil palm plantation land cover at PT BSM. The method used is pollard transect (2 km with a width of 10 m) and trapping. The role of various types of butterflies is carried out through a literature search. The results showed that there were 163 individuals from 30 species and consisted of 4 families namely Papilionidae, Pieridae and Lycaenidae. The highest diversity and richness index values were found in smallholder plantations 1 (H′=2.42) and (Dmg=4.01), while the lowest were found in young oil palm areas (H′=0.87) and (Dmg=0. 99). The highest evenness index value was found in shrubs (E=1) while the lowest was in young oil palm land cover (E=0.54). Butterfly species that have potential as environmental bioindicators are Tanaecia pelea, Neptis hylas, Cupha erymantis, Neptis ida, Danaus affinis, Junonia atlites, Leptosia nina, Catopsilia pyranthe, Rapala iarbus, Papilio memnon, Losaria coon, Papilio polytes, Spindiasis lohita and Eurema hecabe. While the pollinators are Ypthima baldus, Catopsilia pyranthe, Hypolimnas bolina, Papilio polytes, and Neptis hylas.
The effects of pre-cue alpha and cueing strategy on age-related deficits in post-cue alpha activity and target processing during visual spatial attention
Authors: Wang Jiaqi , Sun Junfeng , Li Chunbo , Tong Shanbao , Hong Xiangfei 
Published: September 2023

Abstract
Electroencephalography alpha-band (8–13 Hz) activity during visual spatial attention declines in normal aging. We recently reported the impacts of pre-cue baseline alpha and cueing strategy on post-cue anticipatory alpha activity and target processing in visual spatial attention (Wang et al., Cerebral Cortex, 2023). However, whether these factors affected aging effects remains unaddressed. We investigated this issue in two independent experiments (n = 114) with different cueing strategies (instructional vs. probabilistic). When median-splitting young adults (YA) by their pre-cue alpha power, we found that older adults exhibited similar pre-cue and post-cue alpha activity as YA with lower pre-cue alpha, and only YA with higher pre-cue alpha showed significant post-cue alpha activity, suggesting that diminished anticipatory alpha activity was not specific to aging but likely due to a general decrease with baseline alpha. Moreover, we found that the aging effects on cue-related event-related potentials were dependent on cueing strategy but were relatively independent of pre-cue alpha. However, age-related deficits in target-related N1 attentional modulation might depend on both pre-cue alpha and cueing strategy. By considering the impacts of pre-cue alpha and cueing strategy, our findings offer new insights into age-related deficits in anticipatory alpha activity and target processing during visual spatial attention.
Self-modulation of the sense of agency via neurofeedback enhances sensory-guided behavioral control
Authors: Zito Giuseppe A , de Sousa Ribeiro Ricardo , Kamal Eshita , Ledergerber Debora , Imbach Lukas , Polania Rafael 
Published: September 2023

Abstract
The sense of agency is a fundamental aspect of human self-consciousness, whose neural correlates encompass widespread brain networks. Research has explored the neuromodulatory properties of the sense of agency with noninvasive brain stimulation, which induces exogenous manipulations of brain activity; however, it is unknown whether endogenous modulation of the sense of agency is also achievable. We investigated whether the sense of agency can be self-regulated with electroencephalography-based neurofeedback. We conducted 2 experiments in which healthy humans performed a motor task while their motor control was artificially disrupted, and gave agency statements on their perceived control. We first identified the electrophysiological response to agency processing, and then applied neurofeedback in a parallel, sham-controlled design, where participants learnt to self-modulate their sense of agency. We found that behavioral measures of agency and performance on the task decreased with the increasing disruption of control. This was negatively correlated with power spectral density in the theta band, and positively correlated in the alpha and beta bands, at central and parietal electrodes. After neurofeedback training of central theta rhythms, participants improved their actual control over the task, and this was associated with a significant decrease in the frequency band trained via neurofeedback. Thus, self-regulation of theta rhythms can improve sensory-guided behavior.
The impact of hospital command centre on patient flow and data quality: findings from the UK National Health Service
Authors: Mebrahtu Teumzghi F , McInerney Ciaran D , Benn Jonathan , McCrorie Carolyn , Granger Josh , Lawton Tom , Sheikh Naeem , Habli Ibrahim , Randell Rebecca , Johnson Owen 
Published: September 2023

Abstract
In the last 6 years, hospitals in developed countries have been trialling the use of command centres for improving organizational efficiency and patient care. However, the impact of these command centres has not been systematically studied in the past. It is a retrospective population-based study. Participants were patients who visited the Bradford Royal Infirmary hospital, Accident and Emergency (A&E) Department, between 1 January 2018 and 31 August 2021. Outcomes were patient flow (measured as A&E waiting time, length of stay, and clinician seen time) and data quality (measured by the proportion of missing treatment and assessment dates and valid transition between A&E care stages). Interrupted time-series segmented regression and process mining were used for analysis. A&E transition time from patient arrival to assessment by a clinician marginally improved during the intervention period; there was a decrease of 0.9 min [95% confidence interval (CI): 0.35–1.4], 3 min (95% CI: 2.4–3.5), 9.7 min (95% CI: 8.4–11.0), and 3.1 min (95% CI: 2.7–3.5) during ‘patient flow program’, ‘command centre display roll-in’, ‘command centre activation’, and ‘hospital wide training program’, respectively. However, the transition time from patient treatment until the conclusion of consultation showed an increase of 11.5 min (95% CI: 9.2–13.9), 12.3 min (95% CI: 8.7–15.9), 53.4 min (95% CI: 48.1–58.7), and 50.2 min (95% CI: 47.5–52.9) for the respective four post-intervention periods. Furthermore, the length of stay was not significantly impacted; the change was −8.8 h (95% CI: −17.6 to 0.08), −8.9 h (95% CI: −18.6 to 0.65), −1.67 h (95% CI: −10.3 to 6.9), and −0.54 h (95% CI: −13.9 to 12.8) during the four respective post-intervention periods. It was a similar pattern for the waiting and clinician seen times. Data quality as measured by the proportion of missing dates of records was generally poor (treatment date = 42.7% and clinician seen date = 23.4%) and did not significantly improve during the intervention periods. The findings of the study suggest that a command centre package that includes process change and software technology does not appear to have a consistent positive impact on patient safety and data quality based on the indicators and data we used. Therefore, hospitals considering introducing a command centre should not assume there will be benefits in patient flow and data quality.
Magnetic fields of low-mass main sequences stars: non-linear dynamo theory and mean-field numerical simulations
Authors: Kleeorin N , Rogachevskii I , Safiullin N , Gershberg R , Porshnev S 
Published: September 2023

ABSTRACTOur theoretical and numerical analysis have suggested that for low-mass main sequences stars (of the spectral classes from M5 to G0) rotating much faster than the Sun, the generated large-scale magnetic field is caused by the mean-field α2Ω dynamo, whereby the α2 dynamo is modified by a weak differential rotation. Even for a weak differential rotation, the behaviour of the magnetic activity is changed drastically from aperiodic regime to non-linear oscillations and appearance of a chaotic behaviour with increase of the differential rotation. Periods of the magnetic cycles decrease with increase of the differential rotation, and they vary from tens to thousand years. This long-term behaviour of the magnetic cycles may be related to the characteristic time of the evolution of the magnetic helicity density of the small-scale field. The performed analysis is based on the mean-field simulations (MFS) of the α2Ω and α2 dynamos and a developed non-linear theory of α2 dynamo. The applied MFS model was calibrated using turbulent parameters typical for the solar convective zone.
A grid of 200 000 models of young δ Scuti stars using mesa and GYRE
Authors: Murphy Simon J , Bedding Timothy R , Gautam Anuj , Joyce Meridith 
Published: September 2023

ABSTRACT
The rapidly increasing number of delta Scuti stars with regular patterns among their pulsation frequencies necessitates modelling tools to better understand the observations. Further, with a dozen identified modes per star, there is potential to make meaningful inferences on stellar structure using these young δ Sct stars. We compute and describe a grid of &gt;200 000 stellar models from the early pre-main sequence (pre-MS) to roughly one-third of the MS lifetime, and calculate their pulsation frequencies. From these, we also calculate asteroseismic parameters and explore how those parameters change with mass, age, and metal mass fraction. We show that the large frequency separation, Δν, is insensitive to mass at the zero-age main sequence. In the frequency regime observed, the Δν we measure (from modes with n ∼ 5–9) differs from the solar scaling relation by ∼13 per cent. We find that the lowest radial order is often poorly modelled, perhaps indicating that the lower order pressure modes contain further untapped potential for revealing the physics of the stellar interior. We also show that different nuclear reaction networks available in mesa can affect the pulsation frequencies of young δ Sct stars by as much as 5 per cent. We apply the grid to five newly modelled stars, including two pre-MS stars each with 15+ modes identified, and we make the grid available as a community resource.
Evaluation of the ACR/EULAR 2022 criteria for classification of ANCA-associated vasculitis in a population-based cohort from Sweden
Authors: Rathmann Jens , Segelmark Mårten , Mohammad Aladdin J 
Published: September 2023

Abstract

Objective
To evaluate the ACR/EULAR 2022 criteria for ANCA-associated vasculitides (AAV) classification and compare them with the European Medicines Agency (EMA) algorithm and with classification based only on ANCA serology.

Methods
In the analysis, 374 cases (47% female) were classified according to the EMA algorithm, ANCA serology and ACR/EULAR criteria. The agreement rate was calculated using the kappa (κ) statistic.

Results
Under EMA, 192 patients were classified as granulomatosis with polyangiitis (GPA), 159 as microscopic polyangiitis (MPA) and 23 as eosinophilic granulomatosis with polyangiitis (EGPA). The ACR/EULAR criteria classified 199 patients as GPA, 136 as MPA and 22 as EGPA. Four patients (1.1%) met criteria of two disease categories, and 13 (3.5%) were unclassifiable. The observed agreement between EMA and ACR/EULAR was 85% for GPA, 75% for MPA and 96% for EGPA. The unweighted κ statistic was 0.66 (95% CI: 0.60, 0.74). Of the 188 PR3-ANCA positive patients, 186 (98.9%) were classified as GPA using ACR/EULAR criteria, and 135 of 161 (83.9%) MPO-ANCA positive patients were classified as MPA. With a classification solely based on ANCA specificity, agreement with ACR/EULAR was 99% for GPA and 88% for MPA.

Conclusions
EMA and ACR/EULAR classification give similar results. A small proportion of patients cannot be classified or fall into two categories. Some patients exhibiting granuloma, a key feature of GPA, are nevertheless classified as MPA, conflicting with the current view of histopathology of AAV. There is high agreement of ANCA-based classification with that of ACR/EULAR, reflected in the considerable weight granted to ANCA in the new criteria. These crucial elements within the new criteria necessitate a consensus discussion among field experts.
CircMTA1 promotes glioblastoma angiogenesis by encoding MTA1‐134aa
Authors: Niu Ben , Wei Deng , Liu Xiao‐yu , Zhai Bei , Liu Xiao‐bai , Yao Yi‐long , Xue Yi‐xue , Wang Ping 
Published: September 2023

AbstractGlioblastoma multiforme (GBM) is the most malignant brain tumor with rapid angiogenesis. How to inhibit GBM angiogenesis is a key problem to be solved. To explore the targets of inhibiting GBM angiogenesis, this study confirmed that the expression of circMTA1 (hsa_circ_0033614) was significantly upregulated in human brain microvascular endothelial cells exposed to glioma cell‐conditioned medium (GECs). The expression of circMTA1 in the cytoplasm was significantly higher than that in the nucleus. Upregulated circMTA1 in GECs can promote cell proliferation, migration, and tube formation. Further exploration of the circularization mechanism of circMTA1 confirmed that KHDRBS1 protein can bind to the upstream and downstream flanking sequences of circMTA1 and promote circMTA1 biogenesis by coordinating Alu element pairing. KHDRBS1 upregulated the proliferation, migration, and tube formation of GECs by promoting the biogenesis of circMTA1. CircMTA1 can encode the protein MTA1‐134aa by internal ribosome entry site sequence‐mediated translation mechanism, and promote the proliferation, migration, and tube formation of GECs through the encoded MTA1‐134aa. This study provides a new target for inhibiting angiogenesis in brain GBM and a new strategy for improving the therapeutic efficacy of GBM.