bluuebunny/crossref_metadata_2025_split huggingface dataset:
Estimating the financial risk transmission effect between new energy vehicle enterprises supply chain based on GARCH–time-varying copula–CoVaR model under the dual carbon target
Authors: Cao Yanqiu , Bian Yijie 
Published: May 2024

Abstract

The development of new energy vehicles is an important path to promote the realization of the dual carbon target. However, the complex and changeable external macro environment, large capital investment required in the early stage of new energy vehicle projects, and unstable returns resulting in high financial risks for new energy vehicle enterprises. Furthermore, factors such as information asymmetry, moral hazard and the uncertainty of the external macro environment make the dynamic characteristics of financial risk transmission between enterprises in the new energy vehicle supply chain more prominent. Existing studies on risk transmission have mainly focuses on theoretical exploration and qualitative research, while the quantitative research is lacking. This study empirically analyzed the financial risk transmission effect between the new energy vehicles chain enterprises based on the GARCH–time-varying copula–CoVaR model. It selected 8 upstream enterprises, 2 midstream enterprises and 8 downstream enterprises; constructed 36 financial risk transmission chains, and selected the stock returns of sample companies from 2017 to 2021 as research data. The results indicated that: (1) the financial risk between upstream and downstream enterprises in the supply chain of new energy vehicles had a bidirectional conduction effect, and the conduction effect was heterogeneous; (2) compared with midstream and downstream enterprises, financial risk was more conductive between upstream and midstream enterprises; and (3) the financial risk transmission effect between enterprises had time-varying characteristics, which affected by the external macro environment and the degree of cooperation between enterprises.
Analysis of the conversion of Cadmium carbonate (CdCO3) to Cadmium oxide (CdO) in thin films with photocatalytic application
Authors: Coyotecatl H. Azucena , Garrido M. Vicencio , Portillo M. Chávez , Santiesteban H. Juárez 
Published: May 2024

Abstract

The Cadmium Carbonate (CdCO3) films were successfully synthesized using the chemical bathroom deposition (CBD) technique to vary later the temperature from 30 ° C, 150 ° C, 300 ° C, 400 ° C and 500 ° C with the CdO was obtained. A step-by-step study was carried out of the chemical reaction coordination complex that is the basis for converting CdCO3 to CdO. With SEM it was possible to perform the morphological studio of the films of CdCO3 Showing a pyramidal shape in each of the samples. The vibration bands in the FTIR spectrum, located at range ~ 3600 − 400 cm-1, corresponding to characteristic vibrations of the carbonate ((CO3)−2) ion, carboxylates, and OH ions were identified. The X-ray diffraction (XRD) technique was applied to investigate the structural and microstructural properties of polycrystalline thin films and the phase change from CdCO3 to CdO. The optical properties of all films such as Absorption, Transmittance, and Reflectance were analyzed, getting a GAP of 1.87–2.37 eV. And, nanostructured films were applied to photocatalysis with a low percentage of photocatalytic efficiency of 8 ~ 14% in 90 minutes.
Shock Wave Interference Characteristics in Double-Tube Jets Impacting on Moving Bodies
Authors: Li Zijie , Wang Hao 
Published: May 2024

Abstract

In an effort to investigate the interference characteristics of shock waves and the motion patterns of the moving body when subjected to simultaneous impacts from double-tube muzzle jets, we conducted numerical simulation research on the flow field structure of a 120 mm double-tube muzzle jet using dynamic grid technology. Our research findings offer a clear description of the interaction process between the two jets and reveal the evolution patterns of shock wave morphology, as well as their interactions and mixing. The results demonstrate that when double-tube jets simultaneously impact moving bodies, the two jets strongly interfere with each other, restraining the free expansion of the jet. Consequently, shock-shock collisions occur, impeding jet development and causing the shock wave to alter its motion direction, concentrating more around the center of the jet. Furthermore, the interaction between intense shock waves and weaker vortices leads to the disappearance of vortices that would typically be observed. Additionally, due to shock-shock collisions, multiple pairs of reflected shock waves and numerous triple points emerge. Moreover, the complex flow field structure enhances the thrust experienced by the moving body, resulting in significant alterations to its key motion parameters. This increase in initial disturbances impacts the operational stability of the moving body. The research outcomes presented in this article provide a crucial theoretical foundation for enhancing the understanding of muzzle jet phenomena and for the practical application of double-tube jet technology in engineering contexts.
Risk factors of delayed bleeding after endoscopic mucosal dissection in patients with early esophageal cancer
Authors: Ling Ying , Wang Jun , Xi Chunhui , Liu Juan 
Published: May 2024

Abstract

Objective Investigating the risk factors of delayed bleeding after endoscopic mucosal dissection (ESD) for early oesophagal cancer.
Methods The early oesophagal cancer patients who received ESD treatment were analyzed, these subjects were divided into two categories according to whether they experienced delayed bleeding after surgery. The risk factors of delayed bleeding after ESD surgery in patients with early oesophagal cancer were identified by one-way ANOVA and multivariate Logistic regression analysis. According to whether they experienced delayed bleeding divided into two categories., we explored the risk reasons by analyzing the medical statistics of the patients through ANOVA and Logistic regression analysis.
Results ESD was associated with delayed onset, lower rates of postoperative bleeding, cancer cell depth and tumour diameter greater than 3M. After Logistic regression analysis, we found that patients with early oesophagal cancer over 50 years old, heavy bleeding during surgery and a significant degree of cancer cell invasion (M3) are all independent risk factors (P<0.05 and OR≥1).
Conclusions The primary risk sources of this condition are ≥50 years old, tumour size greater than 3m, blood loss during surgery, and the depth of cancer cell invasion (M3) are risk factors for patients with early oesophagal cancer after ESD surgery.
Reversible immobilization of enzyme on the “deck” for high-efficiency heterogeneous catalysis
Authors: Zhu Xing , Lv Zuoyuan , Ren Longfang , Fan Mingliang , Du Chenxi , Qiang Yuanyuan , He Bin 
Published: May 2024

Abstract

Enzyme immobilization has emerged as one of the pivotal technologies in enzyme engineering, offering substantial cost reductions associated with enzyme isolation and utilization. However, efficient catalysis of solid substrates with solid immobilized enzymes remains a challenge, typically exemplified by the hydrolysis of cellulose using immobilized cellulase. In this study, a novel system of reversible release and recycling of cellulase on the surface of low-density polyethylene (LDPE) "hull" was developed, inspired by the operational dynamics of carrier-based aircraft. The reversible formation and disruption of multiple hydrogen bonds between the grafted gelatin molecular chain on the LDPE surface and the modification arm of cellulase (poly(methacrylic acid-propenoic acid; PAA-PMAA) can be achieved through temperature control, thus enabling the reversible release and recycling of modified cellulase molecules on the LDPE surface. Results demonstrated that the release of modified cellulase (PLANE) from the LDPE surface overcame the mass transfer barrier inherent in traditional immobilized enzyme systems for catalyzing insoluble substrates. This was attributed to the dissolution of PLANE in the developed system, rendering its hydrolysis of the insoluble cellulose substrate comparable to that of the free enzyme. Upon completion of the reaction, the PLANE could be reversibly recycled on the surface of the macroscopic LDPE membrane, facilitated by the regeneration of multiple hydrogen bonds. Furthermore, the facile removal of the membrane aided in the convenient recycling of cellulase. Notably, the cellulase molecules in the system retained more than 50% of their biological activity even after 8 batches of reuse, making the process cost-effective. This method addressed the limitations of traditional immobilized enzymes, allowing the catalysis of solid substrates with elevated mass transfer and simultaneous easy recovery, thus standing out as a universal immobilization method.
Comparison of Survival Prognostic Tools in Terminal-stage Tumor Patients: A Multicenter Prospective Cohort Study
Authors: Cheng Ziluo , Yin Xiaoli , Zhou Yuxin , Wang Yeping , Mei Zhen , Wu Yanping 
Published: May 2024

Abstract

Purpose
Previous studies have discussed the effectiveness of the Karnofsky Performance Scale (KPS), Palliative Performance Scale (PPS), Palliative Prognostic Index (PPI), and Delirium-Palliative Prognostic Score (D-PaP) in predicting the survival of patients with terminal-stage tumor, but their effectiveness in the Chinese terminal-stage tumor population still needs to be explored. Therefore, we conducted this prospective cohort study to investigate the applicability of KPS, PPS, PPI, and D-PaP in predicting survival in Chinese patients with terminal-stage tumors.
Methods
This is a prospective cohort study that collected data from 286 terminal-stage tumor patients across four medical institutions in China from September 2020 to October 2023. The feasibility of using KPS, PPS, PPI, and D-PaP to predict 7-day and 30-day survival in terminal-stage tumor patients was discussed using receiver operating characteristic (ROC) curves. The differences in survival among terminal-stage tumor patients using new cut-off values for the four survival prognostic tools were discussed using Kaplan-Meier survival curves.
Results
The study ultimately included 286 patients with terminal-stage tumor, with an overall median survival of 8 days. For the prediction of the 30-day survival, the area under the ROC curve of KPS, PPS, PPI, and D-PaP were 0.783 (95% CI 0.687–0.878), 0.756 (0.658–0.855), 0.759 (0.655–0.862), and 0.872 (0.784–0.959), respectively. The optimal cut-off values were 25 for KPS, 35 for PPS, 3.75 for PPI, and 8.25 for D-PaP. Their corresponding sensitivity was 62.2%, 76%, 67.9%, and 88.5%, while their specificity was 83.3%, 70.8%, 75%, and 83.3%, respectively.
Conclusion
KPS, PPS, PPI, and D-PaP are all effective in predicting survival in Chinese patients with terminal-stage tumors. Particularly, D-PaP is the most suitable for predicting 30-day survival.
Tweet Analysis: Visualisation using Python
Authors: Bhagat Lucky , Bhandari Manya , Bharti Muneesh Kumar , Singh Neha , Srivast Rajshree 
Published: May 2024

Abstract

Most of the information is open to the public and can be mined. Huge amounts of data are available on the social networking site like Twitter. This data may be unstructured, semi-structured, or structured in any combination. This enables users to discuss concerns with various communities, as well as to share and express their opinions about various subjects. Sentiment analysis of Twitter data has been the subject of extensive research. Sentiment: that describes how people feel or think about a specific subject. Not facts, but subjective perceptions of the domain are the result. Twitter is one of the most widely used platforms. Many scholars who conduct research in critical domains such as consumer brands, market performance, and democratic election prediction have found inspiration from Twitter. The initiative focuses on Twitter data analysis. This paper focuses on a tool to assess public sentiment, monitor crises, conduct market research, and the influence and reach of a Twitter trend, it lets users view a range of metrics related to any hashtag, such as the most popular users utilizing it, users with the greatest reach, an estimate of the hashtag's actual and maximum reach, the timely frequency of tweets and retweets, and the estimated market value of the hashtag with the use of python and Twitter API. It will help combat misinformation and online negativity and promote accountability with a focus on visual content analysis.
Association between Healthy Eating Index-2020 and Trouble Sleeping and Hypertension in US Adults: Result from NHANES 2017 March to 2020 Pre-Pandemic Data
Authors: Wu Dongfang , Jiang Shan , Wang Yichen , Xu Jianhong 
Published: May 2024

Abstract

Background
Hypertension is a major risk factor for cardiovascular disease, with contributing factors including diet and sleep quality. The Healthy Eating Index-2020 (HEI-2020) provides a framework for assessing diet quality across various components, offering insights into how dietary patterns and trouble sleeping may influence the risk of hypertension.
Methods
We analyzed data from March to 2020 Pre-Pandemic data in National Health and Nutrition Examination Surveys (NHANES),. Hypertension was defined by blood pressure tests, questionnaires, or prevention medication use, and trouble sleeping was defined by questionnaire. The study controlled for demographic factors, and according to HEI-2020 scores and the answer of trouble sleeping, participants were divided into four groups to assess the relationship with hypertension risk. We used logistic regression analyses and subgroup analysis to explore the association between HEI levels and trouble sleeping and hypertension.
Results
This study includes a total of 5,713 participants which includes 2,738 males and 2,975 females, and 2,820 participants have hypertension. The participants are divided into four groups, the second group which represents the bad diet and no trouble sleeping, and the fourth group which represents the not bad diet and no trouble sleeping show the most significant risk reduction across three adjusted models, with odds ratios ranging from 0.53 to 0.50 (p-values from 0.000 to 0.000), showing good sleep were associated with lower hypertension risk, and effect could be even greater if complemented with a better diet.
Conclusion
This study found that the absence of trouble sleeping is significantly associated with a lower risk of hypertension, even if the diet is poor. The reduction in hypertension risk was most pronounced in participants who had good sleep and a balanced diet.
Network externalities in a quantity-setting vertically differentiated luxury goods market
Authors: Nakamura Yasuhiko 
Published: May 2024

Abstract

This study reconsiders how the strength of network externalities and the gap in product quality influence equilibrium market outcomes in a luxury market with vertical product differentiation under quantity competition. We show the following three results. First, the demand, price, and profit of a low-quality firm can be positively associated with the strength of network externalities. Second, the profit-enhancing quality of a low-quality firm is higher under quantity competition than under price competition. Third, the profit-maximizing quality of a low-quality firm is higher than its socially optimal quality.
JEL classification: D43; L13
Assessment of myocardial bridge anatomy and ischemia with an integrated protocol combining coronary CT angiography and dynamic CT myocardial perfusion imaging
Authors: pan shuang , wang hao , wang zhaoqian 
Published: May 2024

Abstract

Objective: This study explored the adoption of adenosine-stress dynamic computed tomography-myocardial perfusion imaging (CT-MPI) to assess hemodynamic changes in patients with left anterior descending myocardial bridge (MBs).
Materials and Methods: A total of 52 patients with left anterior descending MBs and 27 controls were retrospectively included in this study to investigate the differences in myocardial blood flow (MBF), CT-fractional flow reserve (CT-FFR), and ΔCT-FFR.
Results: A total of 52 patients with left anterior MBs and 27 controls were included in this study. The CT-FFRsystole of patients in the MB group was significantly lower than that in the control group (median [interquartile range], 0.73 [0.55–0.80] vs. 0.82 [0.72–0.86]; P = 0.005). The ΔCT-FFRsystole in the MB group was significantly higher than that in the control group (0.26 [0.13–0.38] vs. 0.18 ± 0.10; P =0.022). However, there was no statistically significant difference in MBF in the left anterior descending artery territory between the MB and control groups (143.08 [118.21–168.03] mL/g/min vs. 149.74 ± 28.11 mL/g/min; P = 0.301).
Conclusions: Left anterior descending MBs may lead to anatomic compression and significant changes in CT-FFR and ΔCT-FFR of the left anterior descending artery. However, MBF in the left anterior descending artery territory as quantitatively assessed by adenosine-stress dynamic CT-MPI was not reduced in these patients, which suggests that the CT-FFR and ΔCT-FFR findings overestimated the hemodynamic changes caused by the left anterior descending MBs.
MFAGCN: A Novel Machine Learning Method for Predicting Molecular Antimicrobial Activity
Authors: Lin Bangjiang , Yan Shujie , Zhen Bowen 
Published: May 2024

Abstract

In response to the increasing concern over antibiotic resistance and the limitations of traditional methods in antibiotic discovery, we introduce a novel machine learning based method named MFAGCN, which predicts the antimicrobial efficacy of molecules by integrating MACCS molecular fingerprints and molecular graph representations as input features, with a focus on molecular functional groups. MFAGCN incorporates an attention mechanism to assign different weights to the importance of information from different neighboring nodes. Comparative experiments with baseline models on two public datasets demonstrate MFAGCN's superior performance. Additionally, structural similarity analyses with known antibiotics are conducted to prevent the rediscovery of established antibiotics. This approach enables researchers to rapidly screen molecules with potent antimicrobial properties and facilitates the identification of functional groups that influence antimicrobial performance, providing valuable insights for further antibiotic development.
Thermodynamic analysis of heat and mass transfer of strawberry slices in an IoT based solar- infrared dryer
Authors: Khan Shafat Ahmad , Dwivedi Madhuresh , Dar AamirHussain , Singh Sushil Kumar , Sultan Umar , Murakeen Aayat 
Published: May 2024

Abstract

In this study, an IoT based solar- infrared hybrid dryer was designed and drying was carried out for fresh strawberry slices. Infrared energy in combination with the solar energy and its effect has been experimentally evaluated. To determine the structural and thermal performance of the greenhouse solar dryer various parameters such as energy and exergy analysis, performance coefficient, various non dimensionless numbers, mass transfer coefficient and drying efficiency have been calculated. Maximum thermal efficiency of the Infra- Red Green House dryer was achieved as 24.9338% while as under passive mode it was obtained to be 32.607%. For IRGHD, highest exergy efficiency values were calculated as 35.83776% and while 33.401% were obtained for passive mode greenhouse drying. Moisture content of the strawberry samples were reduced from92.8% to8.8%and 9.2% in 600and 660 mins respectively. Drying efficiencies were also calculated giving a highest value of 8.752848% for IRGHD while 5.1782% for passive greenhouse mode depicting an increase in efficiency in the drying system due to additional effect of the infrared energy assistance. The use of IR lamp increases the consumption of energy, however the effect decreases the drying time and helps in retaining better color quality and can be an effective combination under conditions of insufficient solar intensity. FTIR and XRD results also depicted slightly better retention of compounds for active mode of drying ascompared to the passive drying.Total Phenolic compounds and DPPH was also found to be higher in IRGHD mode of drying as compared to the passive drying mode.
Ten-year differences in the prevalence and related factors of depression and suicidal behavior in Korean older adults: A comparison of representative nationwide studies for mental disorders in 2011 and 2021
Authors: Jeon Jae Yeong , Hahm Bong-Jin , Seong Su Jeong , Seo Hwa Yeon , Chang Sung Man , Kim Byung-Soo , An Hyonggin , Jeon Hong Jin , Hong Jin Pyo , Park Jee Eun 
Published: May 2024

Abstract

Purpose As the baby boomer generation moves into old age, the characteristics of the older population are changing. This study aimed to compare the prevalence of depression and suicidal behavior and examine the different impacts of sociodemographic risk factors based on two nationwide cross-sectional studies conducted a decade apart.Methods We compared representative samples of participants aged 60–74 years from two nationwide surveys in 2011 and 2021. Depression and suicidal behavior were assessed using the Korean version of the Composite International Diagnostic Interview, and the prevalence rates were compared according to study year and gender. We used multivariate logistic regression to determine how sociodemographic risk factors affected depression and suicidal behavior in each study period.Results The prevalence of depression in older adults was higher in 2021 than in 2011, with a notable increase among older men. The prevalence of suicidal behavior was slightly decreased but not statistically confirmed. In 2011, being female was the only risk factor for depression; however, several sociodemographic factors, including non-married, low income, and high education level, were identified as risk factors for depression in 2021. The impact of low-income status on both depression and suicidal behavior was twice as much in 2021 as it was in 2011.Conclusion The prevalence of depression has increased compared to a decade ago, especially among older men. Recently, sociodemographic risks have become more important in late-life depression and suicidal behavior. Mental health promotion for older adults needs to consider sociocultural characteristics and environmental changes.