bluuebunny/crossref_metadata_2025_split huggingface dataset:
Dust removal on solar panels of exploration rovers using Chladni patterns
Authors: Cho Hyunsung , Woo Jungyu , Park Junyeong , Lee Jinung , Cho Seongpil 
Published: November 2024

Abstract

The buildup of dust on solar panels has significantly reduced the operational lifespan and mission performance of exploration rovers, and traditional dust removal techniques have proven inadequate for the Martian environment. The present study proposes a novel method for removing dust from the solar panels of Mars exploration rovers using Chladni patterns, addressing the persistent issue of efficiency loss due to Martian dust accumulation. To overcome these challenges, the proposed method leveraged Chladni patterns, generated by specific frequencies, to effectively clear dust from the panels. We conducted experiments that identified optimal frequencies, frequency sequences, and plate shapes for dust removal, demonstrating the method's effectiveness. In conclusion, our approach not only enhances the efficiency of solar panels but also has the potential to improve the overall performance and longevity of Mars exploration missions.
Brain iron deposition and cognitive decline in patients with cerebral small vessel disease : A quantitative susceptibility mapping study
Authors: Gao Yian , Liang Changhu , Zhang Qihao , Zhuang Hangwei , Sui Chaofan , Zhang Nan , Feng Mengmeng , Xin Haotian , Guo Lingfei , Wang Yi 
Published: November 2024

Abstract

Background: Quantitative susceptibility mapping (QSM) can study the susceptibility values of brain tissue which allows for noninvasive examination of local brain iron levels in both normal and pathological conditions.
Purpose: Our study compares brain iron deposition in gray matter (GM) nuclei between cerebral small vessel disease (CSVD) patients and healthy controls (HCs), exploring factors that affect iron deposition and cognitive function.
Materials and Methods: A total of 321 subjects were enrolled in this study. All subjects had cognitive examination including the Stroop color word test (SCWT) and MRI including multiecho gradient echo (mGRE) sequence. The patients with CSVD were divided into mild to moderate group (CSVD-M, total CSVD score≤1) and severe group (CSVD-S, total CSVD score>1). Morphology-enabled dipole inversion with an automated uniform cerebrospinal fluid zero reference algorithm (MEDI+0) was used to generate brain QSM maps from mGRE data. Deep gray regional susceptibility values and cognitive function were compared among three groups (CSVD-S, CSVD-M, and HC) using multiple linear regression analysis and mediation effect analysis.
Results: There were significant differences in the SCWT scores and mean susceptibility values of the globus pallidus (GP), putamen (Put), and caudate nucleus (CN) among the three groups (P<0.05, FDR correction). Age had a significant positive impact on the susceptibility values of GP (p=0.018), Put (p<0.001), and CN (p<0.001). A history of diabeteshad a significant positive influence on the susceptibility values of Put (p=0.011) and CN (p<0.001). A smoking history had a significant positive association with the susceptibility values of CN (p=0.019). Mediation effect analysis demonstrated that iron deposition in the neostriatum partially mediated the relationship between hypertension and cognitive function. Age, diabetes, and smoking may increase iron deposition in the basal ganglia, associated with cognitive decline. The mean susceptibility values of the neostriatumplayed a mediating role in the association between hypertension and cognitive scores.
Conclusions: Age, diabetes, and smoking are associated with increased iron deposition in the basal ganglia and also linked to cognitive decline. This can help with understanding CSVD and its prevention and treatment.
The Role of m6A Methylation Genes in Predicting Poor Prognosis in Sepsis: Identifying Key Biomarkers and Therapeutic Targets
Authors: Wang Shaokang , Shen Siye , Cheng Na , Zhou Wenjun , Yu Weili , Liang Daiyun , Cao Lijun , Zhang Pinjie , Lu Zhonghua , Sun Yun 
Published: November 2024

Abstract

Sepsis is one of the leading causes of death among seriously ill patients worldwide, affecting more than 30 million people annually and accounting for 1–2% of hospitalizations. By analyzing GEO data set, this study explored the relationship between m6A methylation gene and poor prognosis of sepsis, aiming at early detection of poor prognosis and providing basis for timely intervention, so as to improve the survival rate of patients. GSE54514 transcriptome data were extracted from the GEO database for 31 patients with sepsis death and 72 patients without death. Key genes were screened by DEGs, LASSO and RF algorithms, and then METTL3, WTAP and RBM15 were further verified by qRT-PCR. The constructed nomogram model showed high accuracy in predicting death. These three genes are mainly involved in chemokine signaling pathway, differentiation of monocytes and T cells, and phagocytosis of immune cells. Through the analysis of three immune infiltrations, the identification of m6A subtype, and the survival ratio of clinical samples, it was found that the probability of immunosuppression with high m6A score subtype was lower and the survival rate was higher. Finally, through the study of inhibition of METTL3 gene in mouse sepsis model, the protective effect of METTL3 in sepsis was demonstrated by spleen cell flow cytometry analysis, enzyme-linked immunosorbent assay (ELISA) and HE staining. These findings provide potential biomarkers and targets for early precision diagnosis and treatment.
From awareness to action: the mediating role of plagiarism avoidance techniques in upholding academic integrity and ensuring legal and institutional consequences
Authors: Habiba Umme , Shadek Md. Shebly 
Published: November 2024

Abstract

This research explores the intricate relationship between awareness of plagiarism, using plagiarism prevention techniques, and promoting the academic integrity of university students. The study also investigates the mediating role of techniques to avoid plagiarism in ensuring academic integrity and Institutional consequences. Data was collected from students enrolled at Noakhali Science and Technology University, a public university in Bangladesh, through an online survey. The questionnaire was distributed via email invitations and chat groups. The researchers employed the SmartPLS-4 software to implement Structural Equation Modelling (SEM) techniques. The results indicated that a significant proportion of participants, namely N = 152, exhibited an understanding and awareness of the concept of 'plagiarism.' Furthermore, the results showed that graduate students, i.e., N = 124 had the highest percentage of awareness. Measurement model evaluation demonstrated that each construct had Cronbach's alpha values over 0.700, indicating a strong level of internal consistency. Furthermore, the average extracted variance (AVE) exceeded 0.500, demonstrating strong convergent validity across all constructs. In addition, a multicollinearity analysis revealed that all indicator Variance Inflation Factors (VIFs) were below 5, indicating the absence of any multicollinearity problems. Furthermore, the mediation analysis yielded compelling evidence to support hypotheses and highlighting the crucial function of techniques to avoid plagiarism as a mediator in these connections. A drawback of this study is its exclusive concentration on a solitary public university in Bangladesh. Furthermore, the survey had a limited number of participants. To improve the thoroughness and usefulness of this research, it would be necessary to broaden the scope by including a more comprehensive range of students from other universities across Bangladesh.
Management of Asynchronous Multifocal Adult Glioblastoma with Loss of BRAFV600E-Mutant Clonality: A Case Report
Authors: Haile Hannah , Upadhyayula Pavan S. , Karlovich Esma , Sisti Michael B. , Gill Brian J. A. , Donovan Laura E. 
Published: November 2024

Abstract

Glioblastoma (GBM) classification involves a combination of histological and molecular signatures, including IDH1/2 mutation, TERT promoter mutation, and EGFR amplification. Non-canonical mutations such as BRAFV600E, found in 1–2% of GBMs, activate the MEK-ERK signaling pathway. This mutation can be targeted by small molecule inhibitors, offering therapeutic potential for GBM. In this case report, we describe the management of a 67-year-old male with BRAFV600E -mutant GBM, who experienced both local clonal and distant non-clonal BRAFV600E -mutant recurrences. Initial treatment involved surgical resection followed by radiotherapy and temozolomide (TMZ). Subsequent recurrences were managed with re-resection and dabrafenib/trametinib combination therapy. Notably, a new, non-clonal BRAFV600E -negative tumor developed in a distant location, highlighting the challenge of clonal evolution and resistance in GBM management. The patient’s disease ultimately progressed despite multiple lines of therapy, including targeted inhibition. Identifying mechanisms of resistance and tailoring flexible treatment approaches are essential for advancing outcomes in BRAFV600E -mutant GBM. This case emphasizes the value of molecular profiling in personalizing treatment for patients with multifocal disease. The evolving nature of these tumors requires persistent clinical monitoring and treatment adjustments based on tissue diagnostics.
Preoperative NLR value as a predictor of recurrence of non-muscle-invasive bladder cancer
Authors: Ivanić Davor , Đug Haris , Jagodić Samed , Mujagić Svjetlana , Delibegović Samir 
Published: November 2024

Abstract

Purpose: To predict oncological outcomes and select appropriate treatments for non-muscle-invasive bladder cancer (NMIBC), pre-treatment predictors such as neutrophil-to-lymphocyte ratio (NLR) are being used. This study aims to evaluate whether NLR is an independent predictor of disease and disease recurrence in NMIBC patients.
Methods: In this prospective clinical study, from March 2018 - March 2023, preoperative NLR values were monitored in 99 patients newly diagnosed with NMIBC, who were initially treated with trans-urethral resection of bladder tumor (TURBT) and adjuvant intravesical therapy. To evaluate the best NLR cut-off points to predict recurrence, the ROC (receiver operating characteristic) curve and the Youden index were used. The monitoring period was 24 months.
Results: With the cut-off value of NLR=1.73, there is a statistically significant correlation (p=0.008) between the NLR value and the increased risk of recurrence. Univariate and multivariate Cox regression analysis show the significant prognostic impact of NLR on the recurrence of the disease.
Conclusion: The value of NLR>1.73 is a significant preoperative predictor in risk assessment and will help with proper selection of treatment in high-risk group patients.
A comprehensive review of deep learning-based hyperspectral image reconstruction for agri-food quality appraisal
Authors: Ahmed Md. Toukir , Monjur Ocean , Khaliduzzaman Alin , Kamruzzaman Mohammed 
Published: November 2024

Abstract

Hyperspectral imaging (HSI) has recently emerged as a promising tool for various agricultural applications. However, high equipment cost, instrumentation complexity, and data-intensive nature have limited its widespread adoption. To overcome these challenges, reconstructing hyperspectral data from simple, cost-effective color or RGB (red-green-blue) images using advanced deep learning algorithms offers a practically attractive solution for a wide range of applications in food quality control and assurance. Through advanced deep learning algorithms, it is possible to capture and reconstruct spectral information from simple, cost-effective RGB imaging to create a reliable, efficient, and scalable system with accuracy comparable to dedicated, expensive HSI systems. This review provides a comprehensive overview of recent advances in deep learning techniques for HSI reconstruction and highlights the transformative impact of deep learning-based hyperspectral image reconstruction on agricultural and food products and anticipates a future where these innovations will lead to more advanced and widespread applications in the agri-food industry.
Cassia polysaccharide regulates the effect of PAX6 low expression on myopia through the Wnt/β-catenin pathway
Authors: Jincheng Luo , Doudou Li , Jialin Li , Xuewei Sun , Xue Wang , Hongbin Qiu , Peixuan Li 
Published: November 2024

Abstract

Objective: Aimed to explore the protective effects of cassia polysaccharides on myopia by examining their influence on ARPE-19 cells with reduced PAX6 expression.
Methods: ARPE-19 cell line with diminished PAX6 expression was established using a lentiviral approach and addition of XAV-939, an inhibitor of the Wnt/β-catenin. We assessed the expression of genes and proteins involved in the Wnt/β-catenin, scleral remodeling, and cell cycle regulation following treatment with cassia polysaccharides. Gene and protein expression were quantified using RT-PCR and Western blot analyses, respectively. Additionally, the migratory capabilities of these cells were evaluated using a scratch assay.
Results: Optimal transduction was achieved with an MOI of 20, successfully generating a stable ARPE-19 cell line with low PAX6 expression. Cassia polysaccharides did not significantly alter the expression of Wnt2 compared to control groups. Similarly, when treated with XAV-939, β-catenin levels were modified in the PAX6-shRNA and XAV-939 but remained unchanged in the cassia polysaccharide. Scleral remodeling markers, including MMP-2 and TGF-β, were elevated, and COL1A1 was decreased in the PAX6-shRNA, with no significant changes observed in the cassia polysaccharide. Cell cycle analysis indicated reduced CDK1 and PCNA levels in the PAX6-shRNA, with cassia polysaccharides showing no significant effect. Scratch assay results demonstrated slower wound healing in the PAX6-shRNA compared to controls over 72h, with no significant differences observed in the cassia polysaccharide.
Conclusion: Cassia polysaccharides may mitigate ARPE-19 cell damage induced by low PAX6 expression through modulation of the Wnt/β-catenin, potentially slowing the progression of myopia and offering a protective effect on vision.
The impact of digital finance on the income growth in middle- and low-income rural households: Evidence from China
Authors: Yu Guohua 
Published: November 2024

Abstract

Digital finance (DIF) is developing rapidly in China, and its popularization has brought new hope for farmers’ income growth. DIF can quickly, proactively, and comprehensively grasp the financial needs of farmers, which is conducive to expanding the scope of inclusive financial services, reducing the threshold for inclusive financial services, and changing their disadvantaged positions in the financial market. With poverty alleviation victory in China, achieving income growth in middle- and low-income rural households will become an essential task for the Chinese government. Promoting income growth in middle- and low-income rural households cannot be achieved without effective support from DIF. We investigate the impact of DIF on the income growth in rural middle- and low-income households by matching the CHFS (China Household Finance Survey) data with the Peking University DIF data in 2019. The study shows that: (1) DIF significantly promotes the income growth of rural middle- and low-income households. (2) DIF significantly impacts rural households’ operational and property income growth. (3) Improving the coverage and depth of DIF can significantly promote income growth in rural middle- and low-income households. (4) Rural households with higher financial and digital literacy are better able to achieve income growth. The above conclusions are robust after fully considering the different methods of measurement as well as interference factors, such as omitted variables and mutual causality.
JEL classification: D31, E44, G21
Impacts of Incentive Factors on Turnover Intention Among Chinese Primary Healthcare Providers: The Mediation Role of Job Burnout
Authors: Wang Jing , Wang Xiaoting , Qiu Lijuan , Li Min , Chen Ren , Yan Jing , Cheng Jing , Wang Li , Zhang Yan , Ding Hong , Chen Guimei 
Published: November 2024

Abstract

The high turnover rate of primary medical personnel has been a noteworthy issue among primary healthcare services system, which is essential to improving the quality of medical and health service. The impacts of incentive factors such as salary, benefits and promotion opportunities on the turnover intention of primary healthcare providers have been found, but the results were inconsistent. How incentive factors affect turnover intention needs to be further explored to present potential reasons for these inconsistent research results above. Based on Herzberg's two-factor theory of motivation, the relationship between incentive factors including hygiene and motivation factors on turnover intention with the mediation effect of job burnout and the moderating effect of perceived social support were tested to better clarify this potential formation mechanism. A multi-stage cluster random sampling method was applied with a total sample of 1,112 primary healthcare providers from Anhui, China. Finally, the findings indicated that hygiene factors and motivation factors were directly negatively associated with turnover intention. Job burnout mediated the relationship between hygiene factors and turnover intention, whereas does not mediate the relationship between motivation factors and turnover intention was insignificant. It is interesting that the interaction terms of perceived social support and motivation factors negatively affected job burnout. Thus, it is necessary to appropriately utilize incentive factors and social support to alleviate primary healthcare providers' job burnout and reduce their turnover intention to improve the quality of primary healthcare service.
Fracture field evolution law of mining overburden rock under double-roof-cutting and retaining roadway conditions: a physical analog model and numerical simulation
Authors: Lv Xiaobo , Hu Shengyong , Nian Jun , Deng Chunsheng , Zhao Bo , He Cheng , Wang Yansheng , Zhang Xitu , Zhang Wei 
Published: November 2024

Abstract

This study comprehensively combines physical analog modeling, numerical simulation, on-site monitoring, and other methods to explore the overburden rock fissure development characteristics under double-roof-cutting (DRC) with retained roadway conditions. The analysis of performed tests, simulations, and on-site monitoring proves that under the above mining conditions, the stress transfer between the roof plates of the open area and the roadway on both sides of the cut top is interrupted, the overburden load being retained in the middle of the open area. The stress in the middle of the open area of the former is increased by 5% compared with that of the latter, with a higher degree of stress increase. The amount of overburden rock subsidence in the open area of the former is reduced by 45 ~ 80% compared with the latter. Under DRC, heights of the overlying rock collapse and fissure zones are 18m and 40m, respectively, versus 15m and 46 m of those without roof-cutting. Fissures in both zones are the most developed, turning into gas transportation channels. This study findings provide theoretical basis for exploring the gas transportation patterns in double-cutting top tunnels.
Key factors in the formation of the main ions composition for power plant cooling water system: a case study of technological and environmental aspects
Authors: Kuznietsov Pavlo , Biedunkova Olha 
Published: November 2024

Abstract

Water is used for cooling in the power generation processes of a power plant to regulate the temperature of equipment, circulating, it can accumulate the main ions (HCO3−, CO32−, SO42−,CI−, Ca2+, Mg2+, Na+, K+) of the water. The article investigates the factors that influence the parameters of the main ions content of recycling water and conducts an environmental assessment of the discharge, identifying correlation dependencies that allow predicting the main ions content after the aqueous discharge of power plant wastewater. The purpose of this article is to investigate the factors of formation and trends in the composition of major ions of the water in the technological cycle of the power plant's circulating cooling system and the surface water of the river in the area of water discharge influence. Moreover, in this paper, grey water footprint is studied as a tool for implementing a combined approach to water use assessment. The research was conducted using process water from the circulating cooling system of an operating nuclear power plant and surface water from the Styr River (Ukraine). Furthermore, this work is related to solving the tasks of assessing the non-radiological impact of water discharge from a nuclear power plant. In particular, the concentration of the main ions in the water was monitored by a certified measuring laboratory. The novelty of our study lies in the application of statistical regression analysis to assess the factors and impact of the discharge of main ions with return water on the natural waters of the river.
Effects of Asymmetric Thickness Mandrel on NC RDB Forming Quality of Ultra-Thin-Walled Tube
Authors: Jang lanfang , Yuan Wujie , Li Heng , Guo Xunzhong , Wang Zili , Zhang Shuyou , Lin Yaochen , Pan Hao 
Published: November 2024

Abstract

To satisfy lightweight design requirements, aerospace ducts frequently employ ultra-thin-walled tubes with a diameter-to-thickness ratio (D/t) exceeding 100.However, ultra-thin-walled tubes present significant forming challenges, and the mandrel plays a critical role in their bending. Therefore, investigating the effect of mandrel structure on the quality of ultra-thin-walled tubes formed through NC bending is of considerable importance. In this study, utilizing the Abaqus nonlinear finite element platform, an asymmetric thickness ball design method is proposed. Based on the positioning of the asymmetric balls within the mandrel, seven distinct designs for asymmetric thickness mandrels are developed. This study conducts a finite element analysis of the NC rotary draw bending (RDB) process for ultra-thin-walled 304 stainless steel tubes and validates the corresponding experiments. The results indicate that as the asymmetric thickness mandrel is positioned further from the mandrel, the stress on the outer side of the tube near the bend initiation first increases and then decreases, while the stress on the inner side of the tube, after the midpoint of the bend, initially decreases and then increases. The use of asymmetric thickness mandrels significantly reduces both the thinning and thickening rates of the tubes, though their impact on improving the ellipticity is less pronounced. The core ball nearest to the mandrel is designated as Ball 1, with subsequent balls further from the mandrel labeled as Ball 2 and Ball 3, respectively. The placement of the asymmetric thickness balls improves the thinning rate in the order: Ball 2 > Ball 1 > Ball 3; enhances the thickening rate in the order: Ball 1 > Ball 2 > Ball 3; and optimizes the ellipticity in the order: Ball 3 > Ball 1 > Ball 2.