bluuebunny/crossref_metadata_2025_split huggingface dataset:
Dynamical model of fatigue pitting fault helical gear pair considering lubricating oil film influence: Theoretical analysis and experimental verification
Authors: Pu Xiangrun , Chen Yong , Li Guangxin , Li Anhe , He Bolin 
Published: March 2024

Abstract
For the helical gear fault diagnosis investigation, it is essential to establish a pitting dynamics model that incorporates several nonlinear parameters to simulate the fault characteristics. This paper proposes a multi-degree-of-freedom analytical nonlinear dynamic model of helical gear pair under pitting fault, introducing the stiffness and damping parameters of gear matrix and lubricant film, the variable friction coefficient of elastohydrodynamic lubrication (EHL), and the measured meshing profile error. Contact fatigue experiments are carried out with a helical gear transmission test bench to gain the full-stage vibration response from healthy to severe pitting fault conditions to validate the reliability of the proposed nonlinear dynamics model. The distribution and amplitude of the eigenfrequencies of the analytical results, considering the influence of the lubricating oil film, are more consistent with the experimental measurements, where the sidebands between the three times and four times fundamental frequency are in acceptable agreement. The comparison results confirm the importance of considering the influence of the lubricant film when studying the dynamics of gear tooth pitting failures, and the analytical method and proposed model can be a reference for dynamical simulation modelling for gear fatigue failure diagnosis and analysis.
Wedelia chinensis-derived biomass porous carbon as anode material for high performance sodium/potassium ion batteries
Authors: Pang Zengwei , Wang Letong , Wan Shenteng , Liu Miaomiao , Niu Xiaohui , Wang Kunjie , Li Hongxia 
Published: March 2024

Abstract

Sodium-ion batteries (SIBs) and potassium-ion batteries (PIBs) are potential alternatives of lithium-ion batteries (LIBs) due to their high energy density and low cost. Unfortunately, they are difficult to use for large-scale grid energy storage due to the lack of suitable anode materials for sodium/potassium energy storage. Biomass-derived carbon, which is widely available and environmentally friendly, is one of the most promising anode materials for SIBs/PIBs, but the design and regulation of its microstructure is exceptionally complex. By selecting suitable biomass precursors, it is expected that biomass-derived carbon with suitable microstructures can be simply prepared. In this study, wedelia chinensis were selected as biomass precursors, and biomass-derived carbon materials with large interfacial spacing, suitable pores and high specific surface area were prepared by a simple one-step pyrolysis method. The material exhibited fast energy storage kinetics when electrochemically tested as an anode and showed different performance advantages in storing sodium/potassium. When tested as an anode for SIBs, it exhibited excellent specific capacity and cycling stability (380.7 mA h g− 1 after 500 cycles at 100 mA g− 1); When tested as an anode for PIB, it exhibited excellent rate performance (128.6 mA h g− 1 at 10 A g− 1).
Bacillus cereus (OR975563) of maize rhizosphere can promote plant growth and potentially suppress mycotoxin (Fumonisin B1) during storage
Authors: Islam Md. Shariful , Chakraborty Shila , Antu Sadia Islam , Ali Md. Hosen , Khokon Rahman 
Published: March 2024

Abstract
Seed deterioration and development of toxins are the prime concern of maize seeds for maintaining quality and health during storage in Bangladesh. Endophytic and rhizospheric bacteria of maize were assessed for their growth suppressive potential against mycotoxigenic fungi (Fusarium oxysporum) and reduction of mycotoxin (Fumonisin B1) during storage. In this study, a total of 48 bacterial isolates were obtained and evaluated for their antifungal activity against Fusarium oxysporum. Four rhizospheric (8SISO4, 8SISO5, 14SISO14, and 16SISO16) which were identified as Bacillus velezensis (OR975558), Bacillus amyloliquefaciens (OR975561), Bacillus subtilis (OR975559) and Bacillus cereus (OR975563) and four endophytic (6RISO28, 9RISO31, 11RISO33, and 9RISO32) bacterial isolates which were identified as Bacillus tropicus (PP335187), Bacillus amyloliquefaciens (OR975562), Bacillus zanthoxyli (OR975560) and Bacillus amyloliquefaciens showed in vitro growth suppressive effect against F. oxysporum. Maize seeds were treated 1, 6 and 12 hours by immersing into bacterial suspension. Among the treatments, seeds treated with the isolate 6RISO28 showed the highest mycelial growth suppression (84.0%) against F. oxysporum. After 8 month of storage, the highest seed germination (68.7%), shoot length (5.1 cm), root length (8.1cm), disease incidence (23.3%) with a vigor index of 988.6 were recorded in the T23 (Maize seed dipping for 6 hr in 16SISO16) with the lowest Fumonisin concentration (4.5 ppm) and the highest mycelial growth suppression of Fusarium. Therefore, it can be opined that utilization of antagonistic bacteria can be a promising approach for the reduction of mycotoxin along with the improvement of seed and seedling health of maize during post-harvest storage.
Association between physical fitness index and psychological symptoms in left-behind children: a cross-sectional study from East China
Authors: Wen Yuan , Xiong Li , Luo Shuaicheng , Deng Guofeng , Jiang Jing , Li Yuqiang 
Published: March 2024

Abstract
Objective: This study aimed to investigate psychological symptoms among left-behind children (LBC) and clarify the associations with their physical fitness index (PFI).
Method: We tested 4705 LBC aged 13–18 years from three provinces in East China on seven physical fitness items using national student physical health standards. Participants’ PFI was calculated by standardizing the physical fitness item scores. Participants’ depression and anxiety symptoms were assessed with the Patient Health Questionnaire 9 and the General Anxiety Disorder 7, respectively. Chi-square tests were used to compare the detection rates of psychological symptoms by PFI levels. Associations between PFI levels and psychological symptoms were determined using binary logistic regression.
Results: The detection rates of anxiety and depression symptoms among LBC were 35.98% and 33.99%, respectively. Univariate analysis showed PFI levels were statistically significantly related to psychological symptoms in boys and girls (anxiety: χ2=37.880 and 52.246, respectively; depression: χ2=29.885 and 68.735, respectively; P<0.05 for all). The multivariate analysis indicated different PFI levels were positively associated with psychological symptoms in both boys (low-level anxiety: odds ratio [OR]=3.898, 95% confidence interval [CI] 2.464–5.982; low-level depression: OR=3.923, 95%CI 2.473–6.223; mid-level anxiety: OR=1.747, 95%CI 1.194–2.555; mid-level depression: OR=1.926, 95%CI 1.298–2.858) and girls (low-level anxiety: OR=4.543, 95%CI 3.032–6.806; low-level depression: OR=6.476, 95%CI 4.096–10.239; mid-level anxiety: OR=3.436, 95%CI 2.437–4.845; mid-level depression: OR=5.001, 95%CI 3.345–7.479) (P<0.05 for all).
Conclusicons: Low and middle PFI levels may be risk factors for psychological symptoms among LBC. Improving physical fitness may reduce psychological health problems in this population.
LMK235 ameliorates inflammation and fibrosis after myocardial infarction by inhibiting LSD1-related pathway
Authors: Lv Fangzhou , Xie Laidi , Li Lei , Lin Jiafeng 
Published: March 2024

Abstract

Background: Histone deacetylase 4 (HDAC4) and histone deacetylase 5 (HDAC5) are two isoforms of class IIa HDACs, and LMK235 is an HDAC inhibitor with higher selectivity for HDAC4/5. This study aimed to explore the expression and subcellular localization of HDAC4/5 and determine the mechanisms underlying the impact of LMK235 on ventricular remodelling post-MI.
Methods: The MI model was established by left anterior descending branch (LAD) ligation, and LMK235 or vehicle was intraperitoneally injected daily for 3 weeks. Cardiac function was determined by echocardiography. Inflammation was evaluated by HE staining and measuring inflammatory cytokine expression, and fibrosis was evaluated by Masson staining and measuring fibrotic biomarker expression.
Results: We found that LMK235 ameliorated cardiac dysfunction post-MI by suppressing inflammation and fibrosis, and LMK235 inhibited upregulation of lysine-specific demethylase 1 (LSD1) expression post-MI. In macrophages, LMK235 attenuated lipopolysaccharide (LPS) - induced inflammatory cytokine expression and inhibited LSD1 expression, while overexpression of LSD1 abrogated the anti-inflammatory effect of LMK235. In cardiac fibroblasts, LMK235 attenuated transforming growth factor-β1 (TGF-β1) - induced fibrotic biomarker expression and inhibited LSD1 expression, while overexpression of LSD1 abrogated the antifibrotic effect of LMK235.
Conclusion: LMK235 can attenuate chronic inflammation and interstitial fibrosis post-MI, leading to improved cardiac function. The anti-inflammatory effect of LMK235 results from inhibition of the LSD1-NF-κB pathway in macrophages. The antifibrotic effect of LMK235 results from inhibition of the LSD1-Smad2/3 pathway in cardiac fibroblasts.
High fuel consumption driving behavior identification and causal analysis based on LightGBM and SHAP
Authors: Chen Shuyan , Liu Hongru , Ma Yongfeng , Qiao Fengxiang , Pang Qianqian , Zhang Ziyu , Xie Zhuopeng 
Published: March 2024

Abstract

Accurate identification of high fuel consumption driving behaviors provides good theoretical support for eco-driving training. To gain a deeper understanding of contributing factors and their impacts on fuel consumption, this study acquired a driving data set based on a driving simulator test and employed the light gradient-boosting machine (LightGBM) algorithm to identify driving behaviors related to high fuel consumption and the SHapley Additive exPlanations (SHAP) algorithm for causal analysis. First, the vehicle kinematics and fuel consumption data were collected and preprocessed. Secondly, the LightGBM algorithm was employed to classify fuel consumption levels, including low, medium, and high. The results show that the LightGBM algorithm performs well in terms of precision, recall, and F1-score. Finally, the SHAP algorithm was used to interpret the influence of contributing factors on high fuel consumption from three perspectives, global interpretation, interaction interpretation, and individual interpretation. The SHAP algorithm can intuitively display the relationship between high fuel consumption and its contributing factors. Specifically, acceleration, speed, roll speed, pitch speed, and engine speed significantly increased the probability of high fuel consumption. This study proposed an efficient combined method for high fuel consumption identification and interpretation, which can reduce the occurrence of high fuel consumption driving behavior, thus achieving the purpose of eco-driving training.
Microbially Driven Iron Cycling Facilitates Organic Carbon Accrual in Decadal Biochar-amended Soil
Authors: He Haohua , Liu Jie , Shu Zhipeng , Chen Yalan , Pan Zezhen , Peng Chao , Wang Xingxing , Zhou Fengwu , Zhou Ming , Du Zhangliu , Sun Ke , Xing Baoshan , Wang Zimeng 
Published: March 2024

Abstract

Soil organic carbon (SOC) is pivotal for both agricultural activities and climate change mitigation, and biochar stands as a promising tool for bolstering SOC and curtailing soil carbon dioxide (CO2) emissions. However, the involvements of biochar in SOC dynamics and the underlying interactions between biochar, soil microbes, minerals (notably Fe oxides), and fresh organic matter (FOM, such as plant debris) remain largely unknown, especially in agricultural soils after long-term biochar amendment. We therefore introduced FOM to soils with and without a decade-long history of biochar amendment, performed soil microcosm incubations, and evaluated carbon and iron cycling as well as microbial properties. Biochar amendment resulted in 2-fold SOC accrual over a decade and attenuated FOM-induced CO2 emissions by approximately 11% during a 56-day incubation through diverse pathways. Notably, biochar facilitated microbially driven iron reduction and subsequent Fenton-like reactions, potentially having enhanced microbial extracellular electron transfer and the carbon utilization efficiency in the long run. Throughout iron cycling processes, physico-chemical protection by minerals could contribute to both microbial carbon accumulation and plant debris preservation, alongside direct adsorption and occlusion of SOC by biochar particles. Furthermore, soil slurry experiments, with sterilization and ferrous iron stimulation controls, confirmed the role of microbes in hydroxyl radical generation and biotic carbon sequestration in biochar-amended soils. Overall, our study sheds light on the intricate biotic and abiotic mechanisms governing carbon dynamics in long-term biochar-amended upland soils.
Real-time identification and visualization of Egyptian blue using modified night vision goggles
Authors: Nicola Marco , Gobetto Roberto , Bazzacco Alessandro , Anselmi Chiara , Ferraris Enrico , Russo Alfonsina , Masic Admir , Sgamellotti Antonio 
Published: March 2024

Abstract

The possibility to use light in the visible spectrum to induce near-infrared luminescence in some materials, particularly Egyptian blue and related pigments, offers a significant advantage in terms of their detection. Since 2008 this property has been exploited to reveal their presence even in tiny amounts on ancient and decayed surfaces, using a technical-photography method. This paper presents a new type of imaging device that enables real-time, easy, and inexpensive identification and mapping of Egyptian blue and related materials. The potential of the new tool is demonstrated by showing its effectiveness in detecting Egyptian blue within some prestigious sites: a) Egyptian findings at Museo Egizio, Turin, b) underground Roman frescoes at Domus Aurea, Rome, and c) Renaissance frescoes by Raphael, Triumph of Galatea and Loggia of Cupid and Psyche, at Villa Farnesina, Rome. The device is based on night vision technology and allows an unprecedented fast, versatile, and user-friendly approach. It is employable by professionals including archaeologists, conservators, and conservation scientists, as well as by un-trained individuals such as students or tourists at museums and sites. The overall aim is not to replace existing photographic techniques but to develop a tool that enables rapid preliminary recognition, useful for planning the work to be carried out with conventional methods. The ability to immediately track Egyptian blue and related pigments, through real-time vision, photos, and videos, provide also a new kind of immersive experience (Blue Vision) and can foster the modern use of these materials in innovative applications and future technologies.
The Presidential Business Cycle 1949-2022: an Examination and Reappraisal
Authors: Mulligan Robert F. , Lombardo Gary A. 
Published: March 2024

Abstract

This paper examines the relationship between the president’s political party and the national economy from 1949 to 2022. Changes in GDP, unemployment, national debt, and the debt-to-GDP ratio are used to measure national economic performance with the Standard and Poor 500 and Dow Jones Industrial Average as measures of stock market performance. A number of statistical tests were used to examine whether the incumbent president’s party has any significant impact on the variables we examined. We tested differences in the change or percent change of each variable with one-way analysis of variance (ANOVA) using the president’s party as two alternative treatments. Linear regressions were used to identify simultaneous relationships between economic performance measures and the party in the White House. Pairwise Granger causality tests were used to identify lagged relationships. We find that both the S&P 500 and the DJIA have positive relationships with GDP while GDP has a positive relationship with the national debt. In turn, government debt has a statistically significant, positive relationship with unemployment. Finally, though somewhat puzzlingly, unemployment has a positive relationship with GDP.
JEL codes: D72, E01, E30, E32, P17.
Virtual simulation of fracture behavior of concrete blocks under blast loading
Authors: Ning Jianguo , Zhang Lei , Xu Xiangzhao 
Published: March 2024

Abstract
Utilizing advanced visualization techniques to simulate and replicate the response of concrete block under various explosive loads is of significant importance for investigating and predicting the fragmentation and fracture behavior of concrete materials. In this study, a scenario visualization method is introduced combining virtual simulation and mathematical theoretical modeling, which can vividly characterize the destruction process as well as the damage characteristics of the concrete block subjected to impact. The fragmentation theory model provided, based on the theorem of energy conservation, could analyze and predict the fundamental characteristics of secondary fragments of concrete blocks under blast loading, such as the quantity, quality and the initial velocity of fragmentation. Furthermore, the movement trajectory and 3D dynamic effects of flying concrete fragments after the explosion were finely and real-time simulated using the physics engine, which significantly enhanced the realism and reliability of the visualization. Also, to characterize the damage features of concrete block, the crushing model of concrete block was established by using Voronoi diagram technique, and the damage levels was given according to the degree of destruction. The developed virtual simulation system not only offers the capability to observe the damage process of concrete block from various perspectives and scales, but also efficiently and accurately analyzes and predicts the destructive behavior and dynamic response under impact loads, and it has significant potential applications in architectural engineering design and safety assessment, providing a new perspective for understanding and exploring the mechanisms of destruction and fracture in concrete materials.
An Effective Spatial Join Method for Blockchain-based Geospatial Data Using Hierarchical Quadrant Spatial LSM+ Tree
Authors: Lee Junghyun , Kwon Taehyeon , Jung Sungwon 
Published: March 2024

Abstract

The prevention of forgery and alternation of important data of blockchain technology is contributing widely to the expanding usage of this technology to areas and industries such as real estate and agriculture. Despite the high utilization of the blockchain, its write-intensive feature causes a large amount of disk I/Os when trying to index and process queries over the data. Among previous studies, the hierarchical quadrant spatial LSM tree (i.e., HQ-sLSM tree) was proposed as an effective structure to index large amounts of geospatial point data from the blockchainand process queries while triggering a low number of disk I/Os. However, geospatial data exists in forms such as lines and polygons inside cadastral maps and survey information. In this paper, we propose an extended version of the HQ-sLSM tree which indexes geospatial line and polygon data. The extended tree, named the HQ-sLSM+ tree inherits and adapts some common features and the low disk I/O algorithms of the original HQ-sLSM tree, fitting them to the line and polygon data types. Furthermore, an algorithm to process the spatial join query over two HQ-sLSM+ trees is proposed. A concept of a spatial join filter is introduced to access disk components efficiently. Experiments confirmed that the number of disk I/Os triggered when spatially joining two HQ-sLSM+ trees were much less compared to existing baseline index trees such as the R-tree and the LSM R-tree.
Multioxide nanomaterials Zn, Cu, Mn: Combining nanozyme and photocatalyst functions for environmental applications
Authors: Matysik Julia , Długosz Olga , Banach Marcin 
Published: March 2024

Abstract

The study analyses nanotechnology advances in the synthesis of catalytic nanozymes that mimic enzymatic properties, but are also inorganic nanomaterials. It compares Zn-Mn-Cu multioxide and Mn-Cu multioxide nanomaterials in the role of nanozymes and photocatalysts, in the decomposition of trypan blue dye. The study showed that Zn-Mn-Cu multioxide nanoxide has activity as a peroxidase-like nanozyme (100 mUnit/mL) and achieves 75% dye degradation as a photocatalyst under UV light. While Mn-Cu multioxide shows enhanced photocatalysis under visible light (45% degradation), consistent with its biocatalytic hydrolysis mechanism. In addition, both materials showed biocatalytic activity in the degradation of trypan blue dye (25%), without an additional light source. Further investigation of these dual nanozyme activities may reveal new solutions for their environmental use.
An Automatic Cardiac Computed Tomography (Ct) Images Sequence segmentation Technique
Authors: Ahmed Rajpar Suhail , Hongsong Chen , Khan Muhammad Shoib , Hussain Zahid 
Published: March 2024

Abstract
Segmentation of the Whole Cardiac CT Image Sequence is the Key to Computer-baseddiagnosis and the analysis of internal lesions in the Human Heart. According to the flow of the blood, contraction and Dilation, the cardiac CT image is prone to weak boundaries and artefacts. The technique of Segmentation for a fast, accurate, reproducible, and fully facilitate the diagnosis of Cardiovascular diseases, it is also the consuming of time, intensive of clinical staff to produce over-segmentation. Therefore, in this paper, we proposed the automatic cardiac CT images sequence segmentation technique to depend on the visual saliency method to understand the saliency of the foreground object relative to the background area used for ImageSegmentation. Using visual attention mechanism we will find the accurate location information, filtering ribs, and muscles of the heart area. The distinctness between the background and the target area is not obvious, and internal structure diversification. It can filter out most of the non-heart tissue part, which is more conducive to the doctor on the patient's heart health status observation.
Nostalgia in tourism: a bibliometric analysis and systematic review
Authors: Moreno Angie Lorena Salgado , Forero Jorge Alexander Mora 
Published: March 2024

Abstract
The main objective of this bibliometric review is to identify and analyze the development of the field of nostalgia tourism through a comprehensive analysis of the scientific literature. To this end, this article performs a bibliometric analysis in R Core Team 2022-Bibliometrix software, complemented by VOSviewer software and a systematic review of the Scopus and Science Direct database to provide information on the most researched topics, the most influential authors and publications, as well as the areas requiring further research. The findings and conclusions of this study make a valuable contribution to the nostalgia tourism literature by providing a relevant and comprehensive analysis of the current state. This analysis allows for a better understanding of the theoretical and conceptual framework of the articles published so far, which is important to consider in order to enrich the academic debate on nostalgia tourism and for future research.