bluuebunny/crossref_metadata_2025_split huggingface dataset:
Bilinear Form, Soliton, Breather, Hybrid and Periodic-Wave Solutions for a (3+1)-Dimensional Korteweg-De Vries Equation in a Fluid
Authors: Chong-Dong Cheng , Bo Tian , Chen-Rong Zhang , Xin Zhao 
Published: March 2021

Abstract
Fluids are studied in such disciplines as atmospheric science, oceanography and astrophysics. In this paper, we investigate a (3+1)-dimensional Korteweg-de Vries equation in a fluid. Bilinear form and N-soliton solutions are obtained, where N is a positive integer. Via the N-soliton solutions, we derive the higher-order breather solutions. We observe that the interaction between two perpendicular first-order breathers on the x-y and x-z planes and the periodic line wave interacts with the first-order breather on the y-z plane, where x, y and z are the independent variables in the equation. Furthermore, we discuss the effects of α, β, γ and δ on the amplitudes of the second-order breathers, where α, β, γ and δ are the constant coefficients in the equation: Amplitude of the second-order breather decreases as α increases; Amplitude of the second-order breather increases as β increases; Amplitude of the second-order breather keeps invariant as γ and δ increase. Via the N-soliton solutions, hybrid solutions comprising the breathers and solitons are derived. Based on the Riemann theta function, we obtain the periodic-wave solutions. Furthermore, we find that the periodic-wave solutions approach to the one-soliton solutions under certain limiting condition.
Analysis of Non-Pharmaceutical Interventions Impacts on COVID-19 Pandemic in Iran
Authors: Saadatmand Sara , Salimifard Khodakaram , Mohammadi Reza 
Published: March 2021

Abstract
The COVID-19 pandemic has had a huge impact on people's health, and countries' infrastructures around the globe. Iran was one of the first countries that experienced the vast prevalence of the coronavirus outbreak. Iranian government applied various nonpharmaceutical interventions to eradicate the epidemic in different periods. To evaluate the effectiveness of applied policies, the number of cases and death before and after the interventions studied and the effective reproduction number of the infection was analyzed under various scenarios. The SEIR generic model was applied to capture the dynamic of the pandemic in Iran. It is assumed that changes in reproduction number are responses to interventions. Depending on how responsive people to the government interventions, the effectiveness of each intervention has been investigated. Based on the model results, the peak of the total number of infected individuals will occur around the end of May and the start of June 2021. It is revealed that the outbreak had been able to be smoothed if the government had continued the full lockdown and strict quarantine. The result will allow for the assessment of the effects of different government interventions in new outbreaks.
Effect of Meteorological Factors and Air Quality index on the COVID-19 Epidemiological Characteristics: An Ecological Study among 210 Countries
Authors: Vali Mohebat , Hassanzadeh Jafar , Mirahmadizadeh Alireza , Hoseini Mohammad , Dehghani Samaneh , Maleki Zahra , Méndez-Arriaga Fabiola , Ghaem Haleh 
Published: March 2021

Abstract
The survival of COVID-19 in different environments may be affected by a variety of weather, pollution, and seasonal parameters. Therefore, the present study aims to conduct an ecological investigation on COVID-19 average growth rate of daily cases and deaths influenced by environmental factors (temperature, humidity, and air pollution) using a sample size of adjusted cumulative incidence of daily cases and deaths based on five sixty-day periods. Research data was gathered on official websites, including information on COVID-19, meteorological data, and air pollution indicators from December 31, 2019, to October 12, 2020, from 210 countries. Spearman correlation and generalized additive model (GAM) were used to analyze the data. During the observed period, the COVID-19 average growth rate of daily cases (r = -0.08, P = 0.151) and deaths (r= -0.09, P = 0.207) were not correlated with humidity. Also, there was a negative relationship between the COVID-19 average growth rate of new cases and deaths with the Air Quality Index (AQI) and wind (r=-0.25, P = 0.04). Furthermore, the data related to the first and second sixty-day of the adjusted cumulative incidence of COVID-19 daily cases and deaths were not associated with humidity and Air Quality Index (AQI). The result of GAM demonstrated the effect of AQI on the average growth rate of COVID-19 new cases and deaths. This study provides evidence for a positive relationship between COVID-19 daily cases, deaths, and AQI.
Pneumothorax Following COVID-19: Based on Autopsy Findings
Authors: Wang Rongshuai , Chen Rong , Xu Sanpeng , Qu Guoqiang , Wang Yunyun , Liu Pan , Liu Liang , Liu Quan 
Published: March 2021

Abstract
Background More and more studies showed pneumothorax is a complication of the 2019 novel coronavirus disease (COVID-19). But no autopsy findings of pneumothorax in COVID-19 decedent were reported, and direct relations between pneumothorax and lung pathology in these decedents were not discussed so far.Methods A 62-year-old man with COVID-19 presenting with persistent hypoxemia and suddenly dead, who was treated by mechanical ventilation in the intensive care unit (ICU) for 5 days. A systemic autopsy examination of COVID-19 decedent, including histopathology study, was conducted and the medical record, chest computerized tomography (CT) image were reviewed by forensic pathologists and clinicians. Results Severe pneumothorax, diffuse alveolar damage and airway obstruction were observed. Pneumothorax should be one of the causes of death.Conclusion Pneumothorax, due to SARS-CoV-2 infection, is a fatal complication of COVID-19. Regular examination of chest CT or X-ray and airway management are important to clinical treatment.
The effects of international tourism, electricity consumption and economic growth on CO2 emissions in North Africa
Authors: menyari younesse el 
Published: March 2021

Abstract
This study examines the influence of tourism, economic growth and electricity consumption on carbon dioxide (CO2) emission in the presence of Environmental Kuznets Curve (EKC) model for a panel of four countries of North Africa, namely Morocco, Algeria, Tunisia and Egypt, over the period 1980–2014. Since we find the existence of cross-sectional dependence, we apply the unit root tests of CIPS and CADF, the Westerlund cointegration test as well as the dynamic seemingly unrelated regression (DSUR), and Dumitrescu-Hurlin Granger causality test. The empirical results show that electricity consumption has a positive effect on CO2 emissions. In contrast, tourism has a negative relationship with CO2 emissions, implying improvement in the quality of the environment. The conclusions confirm the hypothesis of the environmental Kuznets curve for the countries in our sample. In addition, the causality test indicates the following results: (i) A one-way causality from real income, electricity consumption and tourism to carbon emissions. (ii) A one-way causality runing from electricity consumption to real income and tourist arrivals. (iii) A two-way causality between real income and tourism development. Based on these empirical results, several policies recommendations are proposed for the four countries of North Africa.
Identification of New Candidate Biomarkers to Support Doxorubicin Treatments in Canine Cancer Patients
Authors: Walters Kristine , Stornetta Alessia , Jacobs Foster , Villalta Peter , Razzoli Maria , Grant Marianne , Zordoky Beshay , Bartolomucci Alessandro , Borgatti Antonella , Balbo Silvia 
Published: March 2021

Abstract
Background: Human and veterinary cancer chemotherapy are undergoing a paradigm shift from a “one size fits all” approach to personalized, patient-oriented treatment strategies. Personalized chemotherapy is dependent on the identification and validation of biomarkers that can predict treatment outcome and/or risk of toxicity. Many cytotoxic chemotherapy agents, including doxorubicin, base their mechanism of action by interaction with DNA and disruption of normal cellular processes. We developed a high-resolution/accurate-mass liquid chromatography-mass spectrometry DNA screening approach for doxorubicin-induced DNA modifications (adducts) in vitro and in vivo. We used, for the first time, a new strategy involving the use of isotope-labeled DNA, which greatly facilitates adduct discovery. The overall goal of this work was to identify doxorubicin-DNA markers to be used as tools to predict drug efficacy for use in veterinary oncology. Results: We used our novel mass spectrometry approach to screen for adducts in purified DNA exposed to doxorubicin. This initial in vitro screening identified nine potential doxorubicin-DNA adduct masses, as well as an intense signal corresponding to DNA-intercalated doxorubicin. Two of the adduct masses, together with doxorubicin and its metabolite doxorubicinol, were subsequently detected in vivo in liver DNA extracted from mice exposed to doxorubicin. Finally, the presence of these adducts and analytes was explored in the DNA isolated from dogs undergoing treatment with doxorubicin. The previously identified nine DOX-DNA adducts were not detected in these preliminary three samples collected seven days post-treatment, however intercalated doxorubicin and doxorubicinol were detected. Conclusions: This work sets the stage for future evaluation of candidate DNA-related markers as biomarkers to personalize chemotherapy protocols for canine cancer patients. It demonstrates our ability to combine in one method the analysis of DNA adducts and DNA-intercalated doxorubicin and doxorubicinol, which interestingly, were persistent in samples from canine patients undergoing doxorubicin chemotherapy seven days after treatment. The presence of doxorubicin in all samples suggests a role for it as a promising biomarker for use in veterinary chemotherapy. Future studies will involve the analysis of more samples from canine cancer patients to elucidate optimal timepoints for monitoring doxorubicin-DNA adducts and the correlation of these markers with therapy outcome.
Integrative proteogenomic characterization of early esophageal cancer
Authors: Li Lingling , Jiang Dongxian , Zhang Qiao , Liu Hui , Qin Zhaoyu , Xu Fujiang , Shen Dan , Wang Haixing , Feng Jinwen , Liu Yang , Chen Weijie , Zhang Xue , Bai Lin , Tian Sha , Tan Subei , Xu Chen , Song Qi , Liu Yalan , Zhong Yunshi , Chen Tianyin , Zhou Pinghong , Zhao Jian-Yuan , Hou Ying-Yong , Ding Chen 
Published: March 2021

Abstract
We performed a comprehensive genomic, proteomic, and phosphoproteomic analysis of 756 trace-tumor-samples from 124 esophageal cancer (EC) patients, covering 9 major histopathological stages and 22 substages. The results revealed a significant diversity of proteome patterns in the 22 substages. The integrated multi-omics data identified genomic-proteomic aberrations revealing the association of TP53, ATM, and EP400 mutations that affected cell cycle, DNA repair, and glycolysis, with poor prognosis. Proteome-based analysis elucidated the stage-specific molecular characterization and defined the cancer-driving waves along with the mutation accumulation in esophageal carcinogenesis and progression. Furthermore, the trajectory analysis identified 6 major tracks related to different clinical features during early EC progression. Growingly enhanced and hyperphosphorylated phosphoglycerate kinase 1 (PGK1, S203) was detected and considered as a drug target in EC progression. Collectively, this study provides insight into the understanding of the molecular mechanism of EC progression and a valuable resource for the development of therapeutic targets.
Enhanced Photocatalytic Performance of CuFeO2-ZnO Heterostructures for Methylene Blue Degradation under Sunlight
Authors: Sudarsan Preethi , Seethapathy Vivek , Ranganathan Priya , S Balakumar , Krishnamoorthy Suresh Babu 
Published: March 2021

Abstract
Development of heterostructures is one of the constructive strategies for enhancing the photocatalytic activity. Here, novel CuFeO 2 -ZnO heterostructures with different weight percentage (CuFeO 2 = 0.5, 1, 5, 10%) were prepared by two-step precipitation-hydrothermal process. The structural confirmation was done by XRD and Raman analysis. The photocatalytic efficiency of the heterostructures was assessed by the degradation of methylene blue under sunlight. CuFeO 2 -ZnO heterostructures enhanced the photocatalytic performance compared to pure ZnO and CuFeO 2 . Among all, 5 wt % of CuFeO 2 on ZnO exhibited 100% degradation with 16 fold faster kinetics than ZnO. Time-resolved photoluminescent analysis revealed the increase in lifetime of charge carriers in the heterostructure. The band alignments of ZnO and CuFeO 2 , evaluated by Mott–Schottky revealed the existence of Type 1 heterostructures. Further, the heterostructures exhibited good recyclability. Thus, the present work demonstrates the use of p-type CuFeO 2 and n-type ZnO heterostructures as potential photocatalysts.
Nitrogen process in stormwater bioretention: The impact of alternate drying and rewetting on nitrogen migration and transformation
Authors: Chen Yao , Chen Renyu , Liu Zhen , Yu Xuehua , Zheng Shuang , Yuan Shaochun 
Published: March 2021

Abstract
Abstract
Nitrogen migration and transformation in the stormwater bioretention system were studied in laboratory experiments, in which the effects of drying-rewetting were particularly investigated. The occurrence and distribution of nitrogen in the plants, the soil, and the pore water were explored under different drying-rewetting cycles. The results clearly showed that bioretention system could remove nitrogen efficiently in all drying-rewetting cycles. The incoming nitrogen could be retained in the topsoil (0–10 cm) and accumulated in the planted layer. However, the overlong dry periods (12 and 22 days) cause an increase in nitrate in the pore water. In addition, nitrogen is mostly stored in the plants’ stem tissues. Up to 23.26% of the inflowing nitrogen can be immobilized in plant organ after a dry period of 22 days. In addition, the relationships between nitrogen reductase activity in the soil and soil nitrogen content were explored. The increase of soil TN content could enhance the activity of nitrate reductase. Meanwhile, the activity of hydroxylamine reductase (HyR) could be enhanced with the increase of soil NO3− content. These results provide a reference for the future development of nitrogen transformation mechanism and the construction of stormwater bioretention systems.
Hepatocyte Nuclear Factor 4 Alpha Attenuated Lipotoxicity, But Increased Bile Acid Toxicity in Non-Alcoholic Fatty Liver Disease Model.
Authors: Noh Yun Jin , Lee Jae Sun , Jun Dae Won , Lee Sung Ryol , Oh Ju Hee , Lee Seung Min , Saeed Waqar 
Published: March 2021

Abstract
Background: It is known that hepatocyte nuclear factor 4 alpha (HNF4α) is key master nuclear receptor for hepatic fat and bile acid metabolic pathways. But the role of HNF4α in non-alcoholic fatty liver disease (NAFLD) is complex. The current study aimed to investigate role of HNF4α in NAFLD. Methods: Hepatic HNF4α expression evaluated in human NAFLD subjects. Free fatty acid induced lipotoxicity evaluated under HNF4α over- and down regulation. Chenodeoxy cholic acid (CDCA) induced bile acid toxicity evaluated under HNF4α in In Vitro NAFLD model. NAFLD activity score and fibrosis assessed after HNF4α silencing in methionine choline deficiency diet fed mice. Results: Hepatic HNF4α expression was higher in NAFLD than in control group. Overexpression of HNF4α reduced intracellular lipid contents via increasing mitochondria beta-oxidation and hepatic fat excretion. HNF4α overexpression attenuated palmitic acid (PA) induced lipotoxicity. Protective effects of HNF4α on cell death were reversed when CDCA co-treated with PA. CDCA mono-treatment did not affect cell viability, but co-treatment with PA and CDCA decreased cell viability. Bile acid toxicity of HNF4α was exaggerated under PA co-treatment with CDCA. HNF4α knock down using small interfering RNA recovered cell apoptosis and increased cell proliferation from PA and CDCA co-treatment condition. Inhibition of HNF4α using sh-HNF4α adenovirus vector did not reduce hepatic fat accumulation, but decreased intrahepatic inflammation and NAFLD activity score compared to control.Conclusions: HNF4α increased free fatty acid oxidation and attenuated lipotixicity, but increased bile acid toxicity in NAFLD animal model. Inhibition of HNF4α attenuated In vivo NAFLD model.
Cause Analysis of PM2.5 pollution during the COVID-19 lockdown in Nanning, China
Authors: Huang Jiongli , Chen Zhiming , Zhou Bin , Zhu Kaixian , Liu Huilin , Mu Yijun , Zhang Dabiao , Wang Shanshan , mo Zhaoyu 
Published: March 2021

Abstract
To analyze the cause of atmospheric PM2.5 pollution occurred during the COVID-19 lockdown in Nanning of Guangxi, China, Single Particulate Aerosol Mass Spectrometer, Aethalometer, Particulate Lidar, coupled with the monitoring of near-surface gaseous pollutants, meteorological conditions, remote fire spots sensing by satellite and Backward Trajectory Models were conducted during 18–24, Feb 2020. Three haze stages of pre-pollution period (PPP), pollution accumulation period (PAP) and pollution dissipation period (PDP) were identified. The dominant source of PM2.5 in PPP was biomass burning (BB) (40.4%), followed by secondary inorganics (28.1%) and motor vehicle exhaust (11.7%). The PAP was characterized by a large abundance of secondary inorganics, which contributed for 56.1% of the total PM2.5 concentration, followed by BB (17.4%). The absorption Ångström exponent (2.2) in PPP was higher than those of the other two periods. The analysis of fire spots monitored by remote satellite sensing indicated that open BB in regions around Nanning city could be one of the main facotrs matters. The planetary boundary layer-relative humidity-secondary particles matter-particulate matter positive feedback mechanism was employed to elucidate the atompheric process in this study. This study highlights the importance of understanding the role of BB and meteorology in air pollution formation to call for policy for emission control strategies.
Integrated Analyses of miRNAome and Transcriptome Reveal The Function of miRNAs in Morphogenesis of Organs and Defense of Endophytes in Pseudostellaria Heterophylla
Authors: Li Jun , Wang Chongmin , Zhou Tao , Jin Haijun , Liu Xiaoqing 
Published: March 2021

Abstract
Background: miRNAs play a crucial role in plant development and growth by inhibiting the function of targeted gene mRNAs at the post transcription level. However, none miRNAs in Pseudostellaria heterophylla has been reported and their function in morphogenesis of organs and continuous cropping obstacles is still unclear. Results: A total of 163 conserved miRNAs (belonging to 66 families) and 303 level miRNAs were identified and some of them showed specifically up or down regulated expression in different tissues. Further, numbers of unigenes involved in Plant-pathogen interaction and MAPK signaling pathway-plant was targeted by miRNAs from P. heterophylla by using GO and KEGG analysis. Significant negative correlation between expression profiles of 30 miRNAs and their targets gene (37 unigenes) were observed. Further, a large number of genes involving with signal transduction of auxin, zeatin, abscisic acid and jasmonic acid were targeted by identified miRNAs in P. heterophylla. A predicated target gene of a conserved and novel miRNA was validated by 5′RLM-RACE, respectively. A large number of mRNA from four kinds of endophytes was targeted by miRNAs of P. heterophylla, and most genes were targeted by miR414. Conclusion: We report a population of P. heterophylla miRNAs from four different vegetative organs by high throughput sequencing, and analyzed combining with the constructed transcriptome. These results may help to explain the function of miRNA in morphogenesis of organs and defense of endophytes in P. heterophylla, and provide theoretical basis for breeding and genetic improvement of P. heterophylla.
Comparison of COPD and Lung Cancer Mechanisms for Identifying MicroRNA Biomarkers By The Reconstruction of miRNA-mRNA Co-Expression Network
Authors: Fathinavid Amirhossein , Mousavian Zaynab , Najafi Ali , Masoudi-Nejad Ali 
Published: March 2021

Abstract
Background: The association between lung cancer and chronic obstructive pulmonary disease (COPD) is now well established; as people with COPD are more likely to develop lung carcinoma. However, the evidence for this relationship is inconclusive and there is currently little information on the underlying molecular mechanisms. MicroRNAs (miRNAs) are one of the regulatory factors in lung cancer and COPD that their functions are widely studied in many chronic diseases and cancers. Rationally, determining common miRNAs for both of diseases could provide a more detailed picture of this association and the involved molecular mechanisms. In this study, we applied systems biology approaches to identify and predict miRNAs that potentially play regulatory roles between COPD and lung cancer. Results: We performed differential expression analysis on public miRNA and mRNA expression data sets, for both of diseases, and calculated two correlation matrices between miRNA and mRNA for case and control samples. Then we constructed two miRNA-mRNA co-expression networks and merged these two co-expression networks into a community co-expression network. Results indicated the existence of very common miRNAs (ex. hsa-miR-326 and hsa-miR-1293) and mRNAs (such as FAT2, ALOX5AP, and LDB2) between the two mentioned diseases. Moreover, we discovered specific miRNAs (hsa-miR-574-3p) that targeted common mRNAs. We utilized drug-target interaction networks to identify candidate drugs (e.g. iloperidone) for common mRNAs that could be considered in treatment both of diseases.Conclusions: Generally, our study highlighted common miRNAs between COPD and lung cancer that could be used as new signatures or biomarkers for therapeutic purposes. Moreover, discovered candidate drugs may be applied in the treatment of both mentioned diseases. Investigating the miRNA biomarkers in this study improves our understanding about the shared mechanisms between COPD and lung cancer.