bluuebunny/crossref_metadata_2025_split huggingface dataset:
U-shaped relationship found between fibrinogen-to-albumin ratio and systemic inflammation response index in osteoporotic fracture patients
Authors: Zhou Xiao-jie , Lu Ke , Liu Zhou-hang , Xu Min-zhe , Li Chong 
Published: May 2024

AbstractThe relationship between the Systemic Inflammatory Response Index (SIRI) and the Fibrinogen-to-albumin ratio (FAR) has not been extensively investigated. The objective of this study was to determine the independent relationship between FAR and SIRI in people with osteoporotic fractures (OPF). A cross-sectional study was conducted using retrospective data from 3431 hospitalized OPF patients. The exposure variable in this study was the baseline FAR, while the outcome variable was the SIRI. Covariates, including age, gender, BMI, and other clinical and laboratory factors, were adjusted. Cross-correlation analysis and linear regression models were applied. The generalized additive model (GAM) investigated non-linear relationships. Adjusted analysis revealed an independent negative association between FAR and SIRI in OPF patients (β = − 0.114, p = 0.00064, 95% CI − 0.180, − 0.049). A substantial U-shaped association between FAR and SIRI was shown using GAM analysis (p < 0.001). FAR and SIRI indicated a negative association for FAR below 6.344% and a positive correlation for FAR over 6.344%. The results of our study revealed a U-shaped relationship between SIRI and FAR. The lowest conceivable FAR for a bone-loose inflammatory disease might be 6.344%, suggesting that this has particular significance for the medical diagnosis and therapy of persons with OPF. Consequently, the term "inflammatory trough" is proposed. These results offer fresh perspectives on controlling inflammation in individuals with OPF and preventing inflammatory osteoporosis.
Influence of coupled water and thermal treatments on the fracture characteristics of a typical sandstone
Authors: Luo Yi , Zhong Haohong , Ren Li , Li Cunbao 
Published: May 2024

AbstractUnderstanding the fracture behavior of rock after coupled water and thermal environment is important for many geotechnical projects. This study examines the influence of coupled water and thermal treatments on the fracture toughness and characteristics of a typical sandstone under mode I and mode II loading conditions. Notched deep beam (NDB) specimens were utilized and subjected to soaking treatments at various water temperatures (23 °C, 60 °C, and 99 °C). The experimental results indicate a significant reduction in both mode I and mode II fracture toughness values, with reductions ranging from 15.4% to 13.2% for mode I and 26.1% to 8.9% for mode II respectively. As the water temperatures increase, a slightly rising trend is observed in both mode I and mode II fracture toughness within the examined temperature range. Sandstone specimens displayed typical brittle fracture characteristics at lower soaking temperatures. For mode I specimens, an increase in ductility was evident with higher soaking temperatures, while the ductile behavior is less pronounced in the mode II specimens. Based on the Maximum Tangential Stress (MTS) criterion and the Generalized Maximum Tangential Stress (GMTS) criterion, the predicted values of mode II fracture toughness and the fracture process zone (FPZ) were discussed. The results show that both the GMTS and MTS criteria exhibit inaccuracies in predicting the mode II fracture toughness of sandstone treated at different soaking water temperatures. However, the GMTS criterion, which incorporates T-stress, demonstrates smaller errors compared to the MTS criterion. The study shows that the radius r0 of the fracture process zone is not a constant under both mode I and mode II loading conditions. The calculation of the fracture process zone radius r0 in the GMTS criterion requires further theoretical and experimental study.
Association of major and minor ECG abnormalities with traditional cardiovascular risk factors in the general population: a large scale study
Authors: Sahranavard Toktam , Alimi Rasoul , Arabkhazaei Javad , Nasrabadi Mohamad , Alavi Dana Seyyed Mohammad Matin , Gholami Yazdan , Izadi-Moud Azadeh , Esmaily Habiobollah , Ebrahimi Mahmoud , Ferns Gordon A. , Moohebati Mohsen , Saffar Soflaei Sara , Ghayour Mobarhan Majid 
Published: May 2024

AbstractCardiovascular disease (CVD) can be determined and quantified using the electrocardiogram (ECG) analysis. Identification of the risk factors associated with ECG abnormalities may advise prevention approaches to decrease CVD burden. In this study we aimed to investigate the association between CVD risk factors and minor and major ECG abnormalities in a general Iranian adult population. This study was conducted in 2010 and covered a population of 9035 males and females aged 35 to 65 years recruiting from the phase I of Mashhad Stroke and Heart Atherosclerotic Disorder (MASHAD) cohort study. The participants were drawn by a stratified cluster random sampling technique. The Bivariate and multinomial logistic regression analysis were conducted considering gender stratification to explore the association of ECG abnormalities with traditional cardiovascular risk factors. There was a significant association between minor and major ECG abnormalities and hypertension (HTN), type 2 diabetes (T2DM), smoking, and physical activity (p < 0.005). There was a significant trend, in both genders, for increasing major abnormalities as the number of CVD risk factors increased. But, only in women, the minor abnormalities increase in frequency as the number of CVD risk factors increased. The results of multinomial logistic regression showed that men with HTN [ARRR = 1.25, 95% CI 0.99, 1.57] and T2DM [ARRR = 1.31, 95% CI 0.99, 1.74] had the highest likelihood to have major abnormalities, although these are not statistically significant. For women, those with HTN had the highest likelihood to have major [ARRR = 1.36, 95% CI 1.13, 1.63] and minor [ARRR = 1.35, 95% CI 1.15, 1.58] abnormalities. Also, women aged > 60 years were more likely to have major [ARRR = 2.01, 95% CI 1.49, 2.74] and minor [ARRR = 1.59, 95% CI 1.20, 2.10] abnormalities compared to women aged < 45 years. Age and HTN were significantly associated with major and minor ECG abnormalities in women, and, on the other hand, HTN and T2DM were associated with major abnormalities in men. Taken together, these findings suggest that healthcare providers should advise preventive approaches to the asymptomatic adults with both major and minor electrocardiographic abnormalities that may predict cardiovascular risk.
Research on a capacitive particle analysis smoke detector
Authors: Wang Boqiang , Zhao Xuezeng , Zhang Yiyong , Song Zigang , Wang Zhuogang 
Published: May 2024

AbstractSmoke detectors face the challenges of increasing accuracy, sensitivity, and high reliability in complex use environments to ensure the timeliness, accuracy, and reliability of very early fire detection. The improvement and innovation of the principle and algorithm for smoke particle concentration detection provide opportunities for improving the performance of the detector. This study represents a new refinement of the smoke concentration detection principle based on capacitive detection of cell structures, and detection signals are processed by a multiscale smoke particle concentration detection algorithm to calculate smoke concentration. Through experiments, it was found that the detector provides effective detection of smoke particle concentrations ranging from 0 to 10% obs/m; moreover, when the detection accuracy is greater than a certain number of parts per million (PPM), the sensitivity of the detector can reach the PPM level; furthermore, the detector can detect smoke particle concentrations higher than the PPM level accuracy even in an environment with a certain concentration of petroliferous and dust particles of different sizes.
Colon-targeted oral nanoliposomes loaded with psoralen alleviate DSS-induced ulcerative colitis
Authors: Su Liqian , Song Gaoqing , Zhou Tao , Tian Hongmei , Xin Hui , Zou Xuan , Xu Yinghua , Jin Xiaobao , Gui Shuiqing , Lu Xuemei 
Published: May 2024

Psoralen-loaded nanoliposomes have pH and microbiota-sensitive characteristics, which can target the colon after oral administration to play an anti-ulcerative colitis role.
Quantitative phosphoproteomic analysis of chicken DF-1 cells infected with Eimeria tenella, using tandem mass tag (TMT) and parallel reaction monitoring (PRM) mass spectrometry
Authors: Jia Liu-Shu , Liu Zhan , Zhu Shun-Hai , Zhao Qi-Ping , Han Hong-Yu , Zhao Huan-Zhi , Yu Yu , Dong Hui 
Published: May 2024

Eimeria tenella is an obligate intracellular parasite which causes great harm to the poultry breeding industry. Protein phosphorylation plays a vital role in host cell–E. tenella interactions. However, no comprehensive phosphoproteomic analyses of host cells at various phases of E. tenella infection have been published. In this study, quantitative phosphoproteomic analysis of chicken embryo DF-1 fibroblasts that were uninfected (UI) or infected with E. tenella for 6 h (PI6, the early invasion phase) or 36 h (PI36, the trophozoite development phase) was conducted. A total of 10,122 phosphopeptides matched to 3,398 host cell phosphoproteins were identified and 13,437 phosphorylation sites were identified. Of these, 491, 1,253, and 275 differentially expressed phosphorylated proteins were identiﬁed in the PI6/UI, PI36/UI, and PI36/PI6 comparisons, respectively. KEGG pathway enrichment analysis showed that E. tenella modulated host cell processes through phosphorylation, including focal adhesion, regulation of the actin cytoskeleton, and FoxO signaling to support its early invasion phase, and modulating adherens junctions and the ErbB signaling pathway to favor its trophozoite development. These results enrich the data on the interaction between E. tenella and host cells and facilitate a better understanding of the molecular mechanisms underlying host–parasite relationships.
L’expérience du temps au cours du suivi psychothérapeutique d’une étudiante universitaire en phase anxio-dépressive
Authors: Voltolini Paião Ariane , Aguirre Antúnez Andrés Eduardo 
Published: May 2024

En particulier sous l’influence d’Henri Bergson, Eugène Minkowski a proposé de comprendre chez ses patients une dimension vécue du temps qui fonde l’expérience singulière des personnes. La méthode phénoméno-structurale qu’il a initiée valorise plus largement une approche compréhensive de l’être humain dans son unité intérieure où l’expérience spatio-temporelle joue un rôle décisif. Les relations interpersonnelles et le langage courant y sont utilisés pour saisir l’expérience d’un temps dégradé chez des personnes atteintes de certains troubles psychiques tels la mélancolie et les états dépressifs.L’objectif de ce travail est d’aborder dans cette perspective les dimensions vécues de l’expérience temporelle d’une jeune femme présentant des symptômes dépressifs et anxieux. Dans la relation avec elle s’éprouve une temporalité accélérée tournée vers un avenir illusoire. Au cours des entretiens cette étudiante part d’un sujet, le fait suivre par un autre puis revient aussitôt en le clarifiant ou le justifiant par rapport au thème précédent presque sans respiration intermédiaire. La thérapeute éprouve le malaise de ne pouvoir se maintenir en phase avec une patiente toujours en avance qui manifeste beaucoup de difficultés à vivre dans le présent sans parvenir à accéder à ses sentiments ni les partager dans sa rencontre avec autrui. À travers le langage, ce présent apparaît sacrifié à un « avenir » ressenti comme étranglé et dépourvu de sens authentique. La compréhension de l’expérience du temps vécu au fil d’une relation à orientation psychothérapeutique confirme ici toute son importance à l’égard d’une psychologie clinique où la voie phénoméno-structurale se montre déterminante pour l’exploration en profondeur de la nature de ces phénomènes spécifiques.
At Crossroads: The Challenges for Geriatric Oncology in India
Authors: Sansar Bipinesh , Gupta Anuj , Chitre Ankita , Mishra Bal Krishna , Lakshmanamurthy Praveen , Gupta Pooja , Sahoo Ajit , Kaur Navneet , Dey Somnath , Vinayak Kunal Ranjan , Kapoor Akhil 
Published: May 2024

AbstractA larger percentage of our population is aging healthily and living on to a ripe old age. 60 years of age is taken as cut-off for identifying geriatric population for the purpose of specialized healthcare. The incidence of cancer is increasing and its expected more so in the geriatric population. At present , there are a limited cancer centres where specialized geriatric clinic is being conducted.Some of the the key unmet needs are — lack of resources and time for dedicated geriatric screening, lack of validated interventions and lack of awareness about the field of geriatric oncology. Some of the proposed solutions are increasing orientation and exposure of trainees and early career oncologists as well as carrying out country specific research to find useful interventions in this field.
Business Equity and Wealth Inequality in Central and Eastern Europe
Authors: Jakurti Edison 
Published: May 2024

AbstractThis paper analyzes the contribution of business equity, housing wealth and the rest of net wealth, to wealth inequality in eight post-socialist countries. Using the third wave of Household Finance and Consumption Survey, we decompose wealth inequality by factor components and use bootstrapping to provide statistical inference. We find that business equity, accounting for over 50% of within-country inequality in most cases, significantly surpasses the contribution of housing wealth. We extend our analysis through a novel simulation approach, employing counterfactual scenarios, to assess variations in between-country inequality. We find that the greatest reduction in the wealth inequality between these countries would occur if business equity were distributed more equally.
Journalists’ questions during crisis
Authors: Hernández Alfonso 
Published: May 2024

Abstract
During the Covid-19 pandemic, various institutions held press conferences to inform the public about the situation. Journalists engaged in these events to obtain information and to scrutinize the appropriateness of authorities’ measures. Previous research has shown that journalists have become more adversarial towards politicians, but also that health crises make journalists more cooperative with authorities to help manage the situation. However, it remains unknown to what extent journalists retain their deliberative aim in press conferences where crises are addressed, and how their interventions as a whole shape discussions with authorities. A corpus of twenty-one press conferences held by seven institutions was annotated according to the argumentative moves of journalists. Results show that journalists displayed a wide array of argumentative moves, and the findings suggest that journalists incline towards retrieving information during crises, unless the situation gets intertwined with political turmoil.
Revisiting “aberrant” features in Saek
Authors: Pittayaporn Pittayawat 
Published: May 2024

AbstractThis study challenges the notion of Saek as an aberrant member of Tai by proposing that certain features previously considered archaic are, in fact, contact-induced innovations. Specifically, it argues that multiple correspondences involving /j-/ and the alleged split of the Proto-Tai *A1 tone can be traced back to Vietnamese and Lao or Thai influence. Additionally, this paper asserts that Saek is closely related to Fusui, a Northern Tai dialect spoken in southwestern Guangxi. This paper concludes that Saek is a Tai language with some unique retentions and traces of contact with neighboring languages.
Stability of the isotropic conductivity reconstruction using magnetic resonance electrical impedance tomography (MREIT)
Authors: Wang Haiyang , Song Yizhuang 
Published: May 2024

Abstract
Magnetic resonance electrical impedance tomography (MREIT) is a high-resolution imaging modality that aims to reconstruct the objects’ conductivity distributions at low frequency using the measurable z-component of the magnetic flux density obtained from an MRI scanner. Traditional reconstruction algorithms in MREIT use two datum subject to two linearly independent current densities. However, the temporal resolution of such a MREIT image is relatively low. Recently, a single current harmonic Bz
algorithm has been proposed to improve the temporal resolution. Even though a series of reconstruction algorithms have been proposed in the last two decades, the theoretical studies of MREIT are still quite limited. This paper presents the stability theorems for two datum and a single data-based isotropic conductivity reconstruction using MREIT. Using the regularity theory of elliptic partial differential equations, we prove that the only instability in the inverse problem of MREIT comes from taking the second-order derivative of the measured data Bz
, the z-component of the magnetic flux density. To get a stable reconstruction from the noisy Bz
data, we note that the edge structure of

∇

B
z

reveals the edge features in the unknown conductivity and provides an edge-preserving denoising approach for the

∇

B
z

data. We use a modified Shepp–Logan phantom model to validate the proposed theory and the denoising approach.
Optimal sensor placement for leak location in water distribution networks based on graph learning algorithm
Authors: Li Juan , Cai Baoyi 
Published: May 2024

Abstract
The effective monitoring of urban water distribution networks (WDNs) relies heavily on pressure sensor placement. Nevertheless, a WDN may consist of hundreds of nodes, and it is not economically feasible to install sensors at each node. Therefore, how to identify an optimal location for sensor placement becomes a crucial issue. We use graph signal processing to analyze the pressure signals and introduce a framework for optimal sensor placement specifically designed for pressure signals. To address the limitation that pressure signals cannot be sampled directly, we propose a method to convert the signal into a band-limited signal that meets the requirements. Central to the method is learning a graph Fourier operator, and the effectiveness of the proposed method is proved theoretically. The graph Fourier operator enables the pressure data to become a smooth graph signal with variations in its topology. In addition, we design a graph filter based on the energy of the signal and obtain a band-limited signal that meets the requirements. To ensure the selection of representative nodes, we use a noise-robust graph sampling method to obtain the sensor node. Our method is further evaluated using the pressure data from Anytown versus Net3, showing strong performance in leak identification and signal reconstruction capabilities.
A feature separation simulation-assisted transfer framework for rotating machinery fault intelligent diagnosis
Authors: Yu Shubo , Liu Zhansheng , Wang Saibo , Zhang Gaorong 
Published: May 2024

Abstract
High-quality labeled data are crucial prerequisites for ensuring the effectiveness of fault diagnosis methods based on deep learning technology. However, in practical scenarios, providing abundant training data with accurate labels for these approaches is unfeasible owing to the constraints imposed by the operating and working conditions. To tackle this realistic challenge, we propose an innovative feature separation simulation-assisted transfer framework (FSSATF) for the fault diagnosis of rotating machinery. The primary concept of FSSATF is to leverage dynamic simulation-assisted data as a surrogate for the labeled data of actual equipment and integrate the feature separation network to explicitly extract domain-independent and fault-discriminative features from the simulated and actual domains, facilitating knowledge transfer and enhancing fault diagnosis capabilities. Specifically, we design a feature separation network consisting of two feature extractors. The special feature extractor is trained with the proposed target domain classification loss to explicitly separate the noisy features from the actual data. Moreover, our proposed domain adaptive loss function effectively narrows the distribution discrepancy between the simulated and actual data, promoting the shared feature extractor to capture domain-invariant and fault-discriminative features. Additionally, clustering learning is embedded into FSSATF to minimize the distance between samples of the same category, strengthening the model’s capabilities for feature extraction, and improving its performance in real machinery fault diagnosis. Artificially damaged and run-to-failure datasets were employed to validate the effectiveness and superiority of FSSATF. The comparative analysis results demonstrate that the fault diagnosis performance surpasses those of other advanced transfer learning fault diagnosis methods.
Performance study of novel metal corrosion probes based on the adjust method of series and parallel connections
Authors: Lan Chengming , Wang Yufan , Wang Jianjun , Fu Xuanming , Li Weijie , Luo Mingzhang 
Published: May 2024

Abstract
Rod-type metal corrosion probes based on electromechanical impedance (EMI) technique can quantitatively assess the amount of corrosion, which have a promising application in pipeline corrosion monitoring and have received much more attention. In the field of structural health monitoring, the EMI technique based on series and parallel connections has been widely studied and is very promising, but it is yet to be used in the probe design. In this work, a kind of novel metal corrosion probe with two piezoelectric elements in series and parallel connections was proposed, and its performance was investigated comprehensively by combining theoretical analysis with experiment research. Theoretical models of the proposed probe in the longitudinal vibration mode for both series and parallel connections were established, and verified by the experimental results. Influences of the thicknesses of piezoelectric layer and ceramic layer on the probe performance were analyzed. Artificial quantitative corrosion tests and accelerated corrosion tests were designed to evaluate the quantitative corrosion monitoring capacity. Temperature sensitivity tests were conducted to study the temperature dependence. The wireless impedance measurement was performed to confirm the online monitoring ability. Comparisons for the probe performance between the series and parallel connections were also presented. This work provided a comprehensive understanding for this kind of novel probe, which is beneficial to develop low-cost, high-precision, high-stability pipeline corrosion real-time monitoring technology.
Bioinspired flexible gripper for vacuum non-cooperative target capture
Authors: Xia Chengkai , Sai Huayang , Xu Zhenbang , Zhao Changyu 
Published: May 2024

Abstract
With the development of space exploration activities, the proliferation of non-cooperative targets in space, such as defunct satellites and space debris, has made the development of efficient and reliable non-cooperative target capture technologies in space a priority for space exploration. In this paper, a flexible gripper inspired by the dermo-muscular sac found in flatworms is presented to address the challenges of non-cooperative target capture in the vacuum environment of space. The gripper design leverages magnetorheological fluid and a magnetic field to enable adjustable stiffness, facilitating the effective grasping of delicate target objects while ensuring a stable connection post-capture. Extensive tests demonstrate the strong potential of the gripper for space applications, showcasing its ability to adjust pre-grip contact force and increase gripping force by adjusting indentation depth. The simplicity of the design contributes to ease of manufacturing, making it a promising tool for future space missions.