bluuebunny/crossref_metadata_2025_split huggingface dataset:
Surface Urban Heat Islands Changes Analysis Considering the Effects of Covid-19 Locked down
Authors: Nojavan Mostafa , Mahmoudi Fatemeh Tabib 
Published: June 2023

Abstract
In this research, the effects of Covid-19 locked down and limitations on human activities were investigated on and urban heat islands. The multi-temporal images those were taken by the Landsat-8 OLI sensor in the spring 2017–2021 are used. For investigating the effects of lockdown in the spring of 2020, the status of surface urban heat island (SUHI) maps during the same period of lockdown in the three years before and the following year have been examined. The proposed method in this paper consists of two main steps; 1) producing the SUHI maps using the rule based analysis of land surface temperature (LST), normalized difference vegetation index (NDVI) and land use / land cover (LULC) maps.2) Quantitatively analyzing the behavioral changes in the SUHIs during Covid-19 locked down and compares their changes with the previous and subsequent years. The obtained results of performing the proposed post-classification change detection confirms that applying the locked down led to changes in the area percentage of high, medium and low SUHI classes by -17.61%, + 4.8% and + 12.8% respectively. Reducing the restrictions in 2021 caused to increase again the area of high SUHI class and decrease the areas of medium and low classes. In addition, the analysis of LST and NDVI obtained from Landsat-8 satellite images in the years 2017 to 2021 reveals that the Covid-19 locked down applied in spring 2020 caused a decrease of -22.52 in LST values and an increase of + 0.103 in NDVI compared to the average of its last three years.
Executive Compensation and Corporate ESG Performance: Evidence from China
Authors: Zhu Chen , Liu Xue , Sun Bin 
Published: June 2023

Abstract
Enterprise's ESG investment is a sustainable development strategy, which can enhance the enterprise's sustainable development ability in the long run. However, whether executive compensation incentive can improve enterprise ESG performance has not been concluded yet. This paper aims to investigate the inherent relationship and operational mechanisms between executive compensation and corporate ESG performance. The study draws upon effective contract theory and incentive theory to examine A-share listed companies in Shanghai and Shenzhen, China, over the period of 2012-2021. The empirical findings reveal the following: Firstly, executive compensation incentives significantly enhance corporate ESG performance. Secondly, the mechanism analysis demonstrates that executive compensation incentives contribute to corporate ESG performance by promoting corporate social responsibility, enhancing internal control quality, and improving financial performance. Thirdly, further investigation reveals that the positive impact of executive compensation incentives on corporate ESG performance diminishes with increasing management shareholding, while it strengthens with a higher proportion of independent directors. Lastly, when compensation exceeds appropriate levels, overcompensation leads to a decline in corporate ESG performance.
A comparative study of effects of biodegradable and non-biodegradable microplastics on the growth and development of black soldier fly larvae (Hermetia illucens).
Authors: Heussler Carina Desirée , Dittmann Isabel L. , Egger Bernhard , Robra Sabine , Klammsteiner Thomas 
Published: June 2023

Abstract

Purpose: This study aimed to investigate the digestion process of biodegradable and non-biodegradable microplastics (MPs) within black soldier fly larvae (BSFL) and assess their impact on larval growth and development. The goal was to understand the fate of MPs within BSFL, considering their potential for waste conversion polluted with MPs. Methods: BSFL were exposed to two types of MPs, and their growth, development, potential accumulation and excretion of MPs were monitored. Results: The findings revealed that the MPs accumulated solely in the larval gut and had no adverse effects on the growth and development of BSFL. Larvae efficiently excreted MPs before reaching the pupation stage. Conclusion: This research emphasizes the potential of BSFL as a bioconversion agent for organic waste, even in the presence of MPs. The effective excretion of MPs by BSFL before pupation suggests their ability to mitigate potential harm caused by MP accumulation. The fact that BSFL may excrete MPs before pupation would contribute to their safe use as animal feedstock. A careful evaluation of the effects of using BSFL reared on contaminated substrates especially containing visually non-detectable residuals like nanoplastic, chemicals or toxic metals and further examination of the broader implications for waste management and sustainable livestock farming remains important.
Suppression of super-enhancer-driven TAL1 expression by KLF4 in T-cell acute lymphoblastic leukemia
Authors: Noura Mina , Yasuda Takahiko , Tsuzuki Shinobu , Matsuo Hidemasa , Kiyoi Hitoshi , Hayakawa Fumihiko 
Published: June 2023

Abstract
TAL1 is one of the most frequently dysregulated genes in T-ALL and is overexpressed in about 50% of T-ALL cases. One of the molecular mechanisms of TAL1 overexpression is abnormal mutations in the upstream region of the TAL1 promoter that introduce binding motifs for the MYB transcription factor. MYB binding at this location creates a 5’ TAL1 super-enhancer (SE), which leads to aberrant expression of TAL1 and is associated with unfavorable clinical outcomes. Although targeting TAL1 is considered to be an attractive therapeutic strategy for patients with T-ALL, direct inhibition of transcription factors is challenging. Here, we show that KLF4, a known tumor suppressor in leukemic cells, suppresses SE-driven TAL1 expression in T-ALL cells. Mechanistically, KLF4 downregulates MYB expression by directly binding to its promoter and inhibits the formation of 5' TAL1 SE. In addition, we found that APTO-253, a small molecule inducer of KLF4, exerts an anti-leukemic effect by targeting SE-driven TAL1 expression in T-ALL cells. Taken together, our results suggest that the induction of KLF4 is a promising strategy to control TAL1 expression and could be a novel treatment for T-ALL patients with a poor prognosis.
Effects of combined application of organic and inorganic fertilizers on Triticum aestivum quality, soil nutrients, and ecological risks
Authors: Yu Jintao , Wang Xuan , Wu Zhiqiang , Li Hongchuan , Kalkhajeh Yusef Kianpoor , hu hongxiang 
Published: June 2023

Abstract
The present field trial investigated the impacts of combined organic-inorganic fertilization (COIF) on crop quality, soil nutrients, and ecological risks (e.g., soil Cd) using the entire growth period of wheat. To do so, we set up seven different treatments in this study: control (CK); chemical nitrogen (N) fertilizer (CF); optimized fertilization (OF); organic fertilizer replacing 25% (T1) and 50% (T2) of chemical fertilizer; and organic N replacing 25% (M1) and 50% (M2) of chemical N fertilizer. Overall, our results suggested that COIF caused a significant increase in the yield of wheat. Compared with the CK, the highest wheat yield happened in M1 treatment (18.27%), although significant increases also occurred in T1 (13%), T2 (6.40%), and M2 (9.63%) treatments (P < 0.05). Besides, COIF increased the grain protein content by 31.9%. In terms of the soil properties, COIF could alleviate soil acidification while improving the cation exchange capacity (CEC). In addition, COIF treatments significantly increased the contents of total phosphorus, total potassium, available phosphorus, and available potassium, by 6.35–16.9%, 3.17–10.9%, 5.53–28.7%, and 2.6–12% (P < 0.05), respectively. Altogether, the results of the present work suggested that the replacement ratios of CF with 25%~50% cow manure are the most effective practices to improve the wheat yield, soil fertility, and the ecological sustainability of the study soils.
Identification of Ferroptosis-related Genes and Its CeRNA Network in Hypertrophic Cardiomyopathy Based on Bioinformatic Analysis
Authors: shen ming , Yu Chen , Yang Cui , Yan-Kun Shi 
Published: June 2023

Abstract
Background: Hypertrophic Cardiomyopathy (HCM) is a comman heritable cardiomyopth which is strongly associated with the risk of sudden death and heart failure in young adults. The underlying mechanisms are still not well defined. Growing evidence suggests that ferroptosis plays an important role in the development and occurrence of cardiovascular disease. This study explored the relationship between ferroptosis-related genes and hypertrophic cardiomyopathy and the lncRNA-associated competing endogenous RNA (ceRNA) network of these genes based on a bioinformatics method.Methods: Four datasets (GSE180313, GSE36961, GSE188324, GSE197218) about HCM were collected from GEO database. HCM-related module genes were identified through weighted gene co-expression network analysis (WGCNA) by R WGCNA package. Ferroptosis-related genes were downloaded from the ferroptosis-related database FerrDb V2. The overlap was performed to obtain the module genes associated with ferroptosis. The Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were performed using R clusterprofiler package. Protein–Protein Interaction (PPI) Network was constructed through the STRING online analysis tool. Cytoscape with CytoHubba was used to identify the hub genes. The Expression of hub genes in cardiac tissue was examined by the statistic program SPSS 27.0. Then the lncRNA-associated competing endogenous RNA (ceRNA) network was constructed.Results: 64 ferroptosis-related genes associated with HCM by WGCNA and FerrDB V2 were obtained. Enrichment analysis revealed that pathways related to iron ion homeostasis and lipid metabolism were the most highly enriched terms. Seven hub genes (PPARG, CD44, ACO1, SIRT1, CDKN2A, ADIPOQ, and TFRC) were obtained by PPI network construction and CytoHubba plug-in of Cytoscape. Through validation in other gene expression datasets, we obtained five hub-genes which were further screened by ceRNA network construction to obtain two key regulatory lncRNAs: NUTM2B-AS1, XIST and two hub-genes: PPARG, CD44.Conclusions: LncRNA XIST, and NUTM2B-AS1 regulated the hub genes (PPARG, and CD44) through a ceRNA regulatory network and may regulate the pathogenesis of HCM in a ferroptosis regulatory manner.
Racial death toll: when surviving COVID-19 in a Brazilian metropolis depends on your skin color
Authors: Pastura Danielle Cristina Lourenço dos Santos , Guimarães Raphael Mendonça 
Published: June 2023

Abstract

The COVID-19 pandemic did not impact and still now does not impact people homogeneously. In Brazil, race shows itself as an important difference in health events, including COVID-19 outcomes. We observed, during the pandemic, a higher lethality pattern among black and brown populations. Considering the most important factor for the disease severity in Brazil are, in order of relevance, age, socioeconomic factors and, only then, comorbidities, and that black and brown Brazilians have much poorer socioeconomic conditions compared to white people, we can understand these populations as part of a group under greater risk of aggravation by COVID-19. Besides, it is known that black and brown people face more difficulties to access healthcare services, a way that sometimes they are not even aware of the comorbidities possessed, which can potentially aggravate COVID-19, or present fewer possibilities to control these diseases. Nonetheless, intrinsic, institutional, and structural racism, a health social determinant shown by many indicators such as mortality rates of black and brown populations, presents itself in all healthcare levels in Brazil. Thus, this study aims to analyze the racial differential for COVID-19 survival amongst hospitalized patients in Rio de Janeiro during the COVID-19 pandemic. We performed a survival analysis from selected notifications of COVID-19-induced induced Severe Acute Respiratory Syndrome in Rio de Janeiro from the date of the first death registered in Brazil to the end of the Public Healthcare Emergency of National Interest, in order to evaluate the times between the first symptoms and hospitalization; hospitalization and outcome (death); and first symptoms and outcomes (death), relating those to the variable of interest race and the covariables age; sex; presence or absence of major signs/symptoms; presence or absence of multimorbidities; resident of Rio de Janeiro or not; resident of urban/rural areas; ICU hospitalization or not. With that, we aim to characterize hospitalized COVID-19 cases in Rio de Janeiro regarding sociodemographic and clinical variables, describe the course between initial symptomatology and outcomes of the in-patients who utterly passed, analyze the survival probability of in-patients according to their race/skin color; relate social health determinants aspects to the survival rates of the hospitalized patients.
Research on Intelligent Recognition Technology in Lithology Based on Multi-parameter Fusion
Authors: Liang Haibo , Xiong Jiaguo , Yang Yi , Zou Jialing 
Published: June 2023

Abstract
In oil and gas drilling, timely and accurate identification of formation lithology is an important factor in drilling safety. In response to the problems of inaccuracy and low efficiency of complex lithology identification by traditional methods such as elemental crossplot in drilling and logging, the Categorical Boost (CatBoost) model is applied to lithology identification in this study. However, since CatBoost uses more hyperparameters in its modeling, it is difficult to optimize model prediction by manually tuning the parameters. Therefore, the introduction of Kernel Principal Component Analysis (KPCA) extracts fewer and more important features from the original data, eliminates the redundant information contained therein, and combines with Bayesian Optimization (BO) algorithm to optimize the hyperparameters during the training process, thus improving the prediction performance of CatBoost. Two experiments were designed to verify the recognition ability of the model, and the final test results of the model showed that the KPCA-BO-CatBoost model proposed in this study had the best comprehensive performance, and the lithology recognition accuracy reached over 90%. The model is effective in identifying formation lithology, improving the efficiency and accuracy of lithology identification and providing important guidance for subsequent drilling operations.
Disulfidptosis-related lncRNA signatures predict prognosis and immune relevance of lung adenocarcinoma
Authors: Li Wuquan , Wang Yong , Lv Yan , Liu Xiangyong , Wu Yuyong , Liu Desheng , Sun Yeying 
Published: June 2023

Abstract
Purpose: Lung adenocarcinoma (LUAD) remains the most common malignancy and has a poor prognosis. Disulfidptosis was identified as a novel type of cell death. Long non-coding RNAs (lncRNAs) play an important role in regulating cell death and LUAD progression. However, the role of disulfidptosis-related lncRNAs (DRLs) in LUAD has not been studied.
Methods: Disulfidptosis-related genes (DRGs) were performed for differential expression, mutation, GO, KEGG, and survival analyses. The univariate Cox regression and least absolute shrinkage and selection operator regression (Lasso) were used to screening the prognostic value of DRLs. Independent prognostic analysis, receiver operating characteristic (ROC) analysis, a nomogram, survival analysis, progression-free survival analysis, Principal Component Analysis (PCA), and tumor mutation difference analysis were used to validate the predictive efficacy of the signature. In addition, the CIBERSORT algorithm was used to assess the differences in immune cells and their immune function.
Results: A total of 21 DRGs differ, and functional enrichment analysis revealed that these 23 DRGs are mainly involved in the structural composition of the cytoskeleton involved in the binding and activation of actin in LUAD. Pearson correlation analysis identified 140 DRLs, LASSO regression analysis obtained 10 DRLs associated with the prognosis of LUAD patients and multifactorial Cox regression analysis was performed to construct a signature consisting of 5 DRLs with independent prognostic significance (LINC01352, AC093673.1, AL606834.1, AL365181.2, MHENCR) to form a prognostic signature. The K-M survival curves showed that the prognosis of patients in the high-risk group was poor, and the ROC curves showed that the area under the curve for the 1, 3, and 5-year survival rates were 0.695, 0.676, and 0.681, respectively, indicating that the signature had the excellent predictive ability. Univariate and multifactorial Cox regression analyses showed that the risk score was an independent prognostic factor. There was a significant correlation between risk score and tumor microenvironment, tumor mutational load, TIDE, and tumor cell stemness. The results of the drug sensitivity analysis showed that patients in the high-risk group had lower semi-inhibitory concentration values for Trametinib, Savolitinib, Ulixertinib, and Crizotinib compared to patients in the low-risk group, while the opposite was true for Tozasertib, Leflunomide, and Ribociclib.
Conclusions: We identified a prognostic signature of disulfidptosis‑related lncRNAs by comprehensive and systematic bioinformatics analysis of LUAD patients. Our developed risk-based signature outperforms standard clinicopathological parameters in predicting survival and prognosis and provided novel insights into the treatment of LUAD.
Antiviral activity of marine actinomycetes, Saccharopolyspora jiangxiensis IMA1 against Influenza A/(H1N1)pdm09
Authors: R Kiruba , Ethiraj Kannapiran , Krishnamoothy Madhuri , Rajendran Kumar , Krishnasamy Kaveri , Sriniva Sivasubramanian , Padmanaban Padmapriya 
Published: June 2023

Abstract

Influenza viruses are major communicable pathogens responsible for respiratory diseases affecting millions worldwide and denoted by increased morbidity and significant mortality. Antiviral drugs and periodical vaccination are used to control Influenza infections. The utility of currently available drugs is of major concern due to emergence of drug resistance. This necessitates the development of novel antiviral drugs from natural resources. Broad arsenal of highly effective novel anti-influenza drugs can be developed from actinomycetes which have been explored for development of an array of antimicrobials. Fractions of methanol, ethanol, ethyl acetate and aqueous of the Saccharopolyspora jiangxiensis IMA1 were employed to assess the antiviral activity against Oseltamivir resistant influenza A/(H1N1)pdm09 virus. MTT, Plaque Reduction, Quantitative RT-PCR and DAPI staining assays were performed to validate the study findings. Selectivity Index value of 18.38 µg/ml concentration of the fraction was found to be effective to inhibit the growth of influenza viruses employing the MDCK cell line. Fraction produced a visually noticeable reduction in cytopathic effect as well as a reduction in viral titre as determined by the reduction in plaque formation. qRT-PCR assay clearly showed a linear relationship between the fraction concentration and the Ct values, demonstrating the virus growth inhibitory activity of the fraction. S. jiangxiensis IMA1 ethyl acetate fraction showed promising antiviral activity as revealed by inhibiting the amplification of influenza virus type A/(H1N1)pdm09. Our research findings will be useful for the development of new antiviral drug from the bioactive actinomycetes fractions.
Analyses of the metabolism and assessment of antioxidant activity in Rhododendron chrysanthum Pall. after UVB Irradiation
Authors: Gong Fushuai , Zhou Xiangru , Cao kun , Xu Hongwei , Zhou Xiaofu 
Published: June 2023

Abstract
Abstract
Due to their ability to act as antioxidants, many metabolites serve as plant defense chemicals. Holistic metabolomic analysis is a method to investigate UVB radiation's impacts because the metabolo me directly represents the physiological state of the plant. In order to determine how the exposure to UVB radiation affected the accumulation of primary metabolites (amino acids, organic acids), secondary metabolites (phenolic compounds, fatty acids), and their synergistic antioxidant capacity in Rhododend ron chrysanthum Pall. (R. chrysanthum), this study used gas chromatography-time-of-flight mass spectrometry (GC-TOFMS). Metabolite analysis revealed that there were 444 metabolites in total. Most amino acids and organic acids, in particular, rose in concentration following being exposed to UVB. Simultaneously, the levels of TCA cyclic intermediates and phenolic compounds grew steadily. Furth ermore, after UVB therapy, the amount of an-thocyanins, which are known to be powerful antioxidants, rose. In terms of PPI and enzyme content, the experimental group demonstrated greater antioxidant ability. In reaction to UVB radiation, the content of metabolites that act as antioxidants may have increased. This experiment proved that R. chrysanthum main and secondary metabolism were altered by UVB radiation. It sheds some information on the combined analysis of metabolomics and other omics in R. chrysanthum.
Pharmacological properties of new chalcones for treatment of leishmaniasis: in silico and in vitro studies
Authors: Silva Gleice Rayanne , Leite Fernando Ferreira , Acevedo Chonny Alexander Herrera , Santos Francisnaira Silva , Grimaldi Gabriela Bittencourt , Soares Milena Botelho Pereira , Guimarães Elisalva Teixeira , Scotti Marcus Tullius , Rodrigues Luis Cezar , Campana Eloísa Helena , Guimarães Hemerson Iury Ferreira , Guerra Felipe Queiroga Sarmento 
Published: June 2023

Abstract
Leishmaniasis constitutes a complex of endemic and neglected diseases with high morbidity and mortality rates. Due to the toxicity, resistance profile and adverse effects of current drugs, science is looking for new therapeutic alternatives. Therefore, the objective of this study was to investigate in silico and in vitro tests the leishmanicidal potential of chalcones and verify their influence on the production of Reactive Oxygen Species (ROS). For the in silico tests, the PASS filter program was used. Murine macrophages (J774) and promastigotes and amastigotes of Leishmania braziliensis were used for in vitro tests. The selectivity index (SI) was calculated through the ratio between the 50% cytotoxicity concentration value (CC50) and the 50% inhibitory concentration value (IC50). Evaluation of ROS levels were obtained using the reagent 2'7'-dichlorodihydrofluorescein diacetate (H2DCFDA). The results indicated that one of the biological activities most associated with flavonoids is the antileishmanial activity. All chalcones tested did not show significant cytotoxicity and the chalcone that showed the best antileishmanial potency was compound 4 (FERAI), with a CI50 of 9.75 ± 1.7 µM and 10.13 ± 1.7 µM for promastigotes and amastigotes of L. braziliensis, respectively. Macrophages treated with FERAI showed a reduction in infection and amastigotes number. FERAI has been shown to increase ROS levels, which is one of its possible mechanisms of action against the parasite. In view of the observed results, it is concluded that all compounds did not exhibit significant cytotoxicity and FERAI presented itself as a strong candidate for a new drug against leishmaniasis.