bluuebunny/crossref_metadata_2025_split huggingface dataset:
Industry 4.0 and circular economy: An exploratory analysis of academic and practitioners' perspectives
Authors: Massaro Maurizio , Secinaro Silvana , Dal Mas Francesca , Brescia Valerio , Calandra Davide 
Published: December 2020

AbstractThe union between Industry 4.0 and the circular economy (CE) appears relatively recent. In this sense, new trading zones for sharing a common scenario among academics and practitioners are needed. The paper aims to investigate the link between Industry 4.0 and the CE by understanding how Industry 4.0 can foster the impact of the CE on companies. The study proposes a broader perspective that includes thematic and content analysis gathering data on professional documents based on business cases, newspaper articles, press releases and specialised blogs, as well as scientific papers. The joint academic‐practitioners view highlights how Industry 4.0 has the potential to impact on the CE through countless actions: increasing waste disposal; promoting remanufacturing; enhancing the efficiency of critical resources such as water, energy, gas and CO2; and improving business models and the mission of companies. However, barriers still exist in its adoption, stressing the need for holistic and integrated design and a proactive environment of collaboration among stakeholders. Results lead to practical as well as research implications.
The impact of motivation, intention, and contextual factors on green purchasing behavior: New energy vehicles as an example
Authors: He Zhengxia , Zhou Yanqing , Wang Jianming , Li Cunfang , Wang Meiling , Li Wenbo 
Published: December 2020

AbstractGreen purchasing behavior is of great significance to the realization of carbon reduction goals. Through in‐depth interviews, this study uses new energy vehicles to explore the driving factors of green purchase. It applies grounded theory for a qualitative analysis, the results of which show that behavior motivation, behavior intentions, residential characteristics, social norms, behavior ability, and institutional and technological context are the main factors of green purchase, albeit in inconsistent ways. It is found that behavior motivation indirectly affects green purchase through behavior intention; residents' characteristics, behavioral ability, social norms, and the institutional and technological context have moderating effects on the relationship between behavior intention and green purchase, indicating the existence of an “intention–behavior” gap. The study proposes the comprehensive model of Motivation–Intention–Context–Behavior to explain the driving factors for green purchase and provides policy implications on marketing strategy to companies producing green products.
Tumor suppressing effects of tristetraprolin and its small double‐stranded RNAs in bladder cancer
Authors: Jiang Wen , Zhu Dandan , Wang Chenghe , Zhu Yu 
Published: December 2020

AbstractBladder cancer (BCa) is a common malignant tumor of urinary system with few treatments, so more useful therapeutic targets are still needed. Antitumor effects of tristetraprolin (TTP) have been explored in many type tumors, but its roles in bladder cancer are still unknown until now. In this study, public expression profiles and tissue microarray analysis showed that TTP mRNA and protein levels decreased in BCa relative to the normal bladder tissue. To explore biological functions of TTP in BCa, 488 TTP target genes, which could be both suppressed and bound by TTP, were identified by comprehensively analyzing publicly available high‐throughput data obtained from Gene Expression Omnibus (GEO). Gene enrichment analysis showed that these genes were enriched in pathways such as cell cycle, epithelial to mesenchymal transition (EMT), and Wnt signaling. Clustering analysis and gene set variation analysis indicated that patients with high expression of TTP target genes had poorer prognosis and stronger tumor proliferation ability relative to the BCa patients with low expression of TTP target genes. In vitro experiments validated that TTP could suppress proliferation, migration, and invasiveness of BCa cells. And TTP could suppress mRNA expression of cyclin‐dependent kinase 1 (CDK1) in BCa cells by target its 3′ UTR. Then, we identified a new small double‐stranded RNA (dsRNA) named dsTTP‐973 which could increase TTP expression in BCa cells, in vivo and in vitro experiments revealed that dsTTP‐973 could suppress aggressiveness of BCa. In conclusion, TTP played a role of tumor suppressor gene in BCa like other tumors, and its dsRNA named dsTTP‐973 could induce TTP expression in BCa and suppress aggressiveness of BCa. With the help of materials science, dsTTP‐973 may become a potential treatment for BCa in the future.
Deep vein thrombosis: An unusual way of revealing microscopic polyangiitis. Deep vein thrombosis in microscopic polyangiitis
Authors: Jerbi Mouna , Ghabi Hiba , Gaied Hanene , Khadhar Mariem , Aoudia Raja , Goucha Rim , Ben Abdallah Taieb 
Published: December 2020

AbstractUnexplained deep vein thrombosis may justify screening for antineutrophil cytoplasmic antibody‐associated vasculitis as it can be an unusual presentation of this disease.
Four‐Coordinated Manganese(II) Disilyl Complexes for the Hydrosilylation of Aldehydes and Ketones with 1,1,3,3‐Tetramethyldisiloxane
Authors: Saito Kyoka , Ito Tatsuyoshi , Arata Shogo , Sunada Yusuke 
Published: December 2020

AbstractThe coordinatively unsaturated manganase(II) bis(supersilyl) complex Mn[Si(SiMe3)3]2(THF)2 (2) was synthesized in one step via the reaction of MnBr2 with two equivalents of KSi(SiMe3)3 in THF. Complex 2 acts as an effective precatalyst for the catalytic hydrosilylation of aldehydes and ketones with 1,1,3,3‐tetramethyldisiloxane (TMDS). The catalytic efficiency can be improved by combining 2 and adamantyl isocyanide (CNAd). The stoichiometric reaction of 2 and two equivalents of CNAd led to the isolation of Mn[Si(SiMe3)3]2(CNAd)2 (3) in high yield. Complex 3 shows superior catalytic performance than 2 in the hydrosilylation of relatively unreactive ketones.
Facilitating Oxygen Redox on Manganese Oxide Nanosheets by Tuning Active Species and Oxygen Defects for Zinc‐Air Batteries
Authors: Zhong Yijun , Dai Jie , Xu Xiaomin , Su Chao , Shao Zongping 
Published: December 2020

AbstractBifunctional oxygen catalyst is an important component in the cathode for rechargeable zinc‐air batteries. MnO2 catalysts have aroused intense interests owing to their promising activity for oxygen reduction reaction (ORR), which, however, is still not comparable to precious metal catalysts. To improve the ORR catalysis and meet the requirement for a bifunctional oxygen catalyst, MnO2 nanosheets are modified with Co, Ni or Fe via a facile solution‐based method. Among the modified samples, Co−MnO2 presents improved catalysis for both ORR and oxygen evolution reaction (OER). The modification introduces additional active sites for OER and induced more oxygen defects to further facilitate the ORR. Zn‐air batteries with the Co−MnO2 air cathode showed a higher peak power density of 167 mW cm−2, a lower potential gap of 0.75 V and a higher round‐trip efficiency of 63 % (5 mA cm−2) compared to MnO2 without modification. Good cycling stability of the battery is also achieved. The proper amount of cobalt species in the MnO2 is vital for achieving a balance between high performance and durable cycling.
Process Design for the Production of Prebiotic Oligosaccharides in an Enzyme Membrane Bioreactor: Interaction between Enzymatic Reaction and Membrane Filtration
Authors: Fan Rong , Burghardt Jan Philipp , Dresler Josephine , Czermak Peter 
Published: December 2020

AbstractAppropriately designed and operated enzyme membrane bioreactors (EMBRs) can fully utilize the activity of free, soluble enzymes while maximizing enzyme reusability and simultaneously removing the enzyme‐free product in situ. A filtration model system was applied to determine critical EMBR design factors suitable for continuous enzymatic production of prebiotic fructo‐oligosaccharides. The filtration flux and separation efficiency were investigated in terms of the membrane cutoff rating. In addition, the influence of operational conditions on enzyme activity was also determined.
Point‐of‐Care Pathogen Detection with CRISPR‐based Programmable Nucleic Acid Binding Proteins
Authors: Dhar Bidhan C. , Steimberg Nathalie , Mazzoleni Giovanna 
Published: December 2020

AbstractThe contemporary discovery of extremely versatile engineered nucleic acid‐binding proteins has transformed a brave new world in the genome‐editing scientific area. Clustered regularly interspaced short palindromic repeats (CRISPR)‐mediated programmable nucleic acid‐binding proteins have brought about a revolution in diagnostic platforms. The groundbreaking finding that bacteria and archaea that harbored prokaryotes have transmitted adaptive immunity through CRISPR and CRISPR‐associated (Cas) proteins has driven revolutionary advances in molecular biology. Importantly, advances in gene editing focus how expanding visions in CRISPR‐Cas biology are revolutionizing the area of molecular diagnostics for identifying DNA and RNA in emerging microbiological pathogens, for single nucleotide polymorphism (SNP) identifications, and for cell‐free mutation. Recent advances, such as improvements in multiplexing and quantitative capabilities as well as instrument‐free detection of nucleic acids, will potentially leverage the introduction of these novel technologies to detecting bacteria and viruses at the point of care (POC). In this review, we highlight the fundamental features of CRISPR/Cas‐based molecular diagnostic technologies and summarize a vision of the next applications for identifying pathogens in POC settings.
Comorbidity burden in long‐term breast cancer survivors compared with a cohort of population‐based controls from the MARIE study
Authors: Möhl Annika , Orban Ester , Jung Audrey Y. , Behrens Sabine , Obi Nadia , Chang‐Claude Jenny , Becher Heiko 
Published: December 2020

BackgroundThe number of elderly cancer survivors is growing because of increasing survival rates. A high comorbidity burden in the elderly can affect their quality of life and survival. The aim of this study was to examine whether breast cancer survivors and population‐based controls have a different comorbidity burden after long‐term follow‐up.MethodsThis study used data from a German breast cancer case‐control study, which initially comprised 3813 breast cancer cases aged 50 to 74 years who were diagnosed between 2002 and 2005 and 7341 population‐based controls. Participants were followed up in 2014/2016. A modified Charlson Comorbidity Index (mCCI) was calculated to quantify severe comorbidities. Negative binomial regression was performed to estimate rate ratios (RRs) with 95% confidence intervals (CIs) for the association between case‐control status and mCCI (dependent variable) for the baseline population and for those who participated at follow‐up, with adjustments made for relevant lifestyle factors.ResultsIn total, 1925 cases and 3674 controls participated in the follow‐up 12 years after recruitment. In the baseline population 35% had at least 1 comorbid condition.In long‐term survivors this proportion was 52%. No difference was found in the mCCI between breast cancer cases and controls at baseline (RR, 1.05; 95% CI, 0.98‐1.11) or between long‐term survivors of the 2 groups at baseline (RR, 1.07; 95% CI, 0.97‐1.18) or at follow‐up (RR, 1.00; 95% CI, 0.91‐1.10).ConclusionsThe comorbidity burden of long‐term breast cancer survivors and controls increased over time; however, it remained similar in both groups after 12 years of follow‐up.
High seroprevalence but short‐lived immune response to SARS‐CoV‐2 infection in Paris
Authors: Anna François , Goyard Sophie , Lalanne Ana Ines , Nevo Fabien , Gransagne Marion , Souque Philippe , Louis Delphine , Gillon Véronique , Turbiez Isabelle , Bidard François‐Clément , Gobillion Aline , Savignoni Alexia , Guillot‐Delost Maude , Dejardin François , Dufour Evelyne , Petres Stéphane , Richard‐Le Goff Odile , Choucha Zaineb , Helynck Olivier , Janin Yves L. , Escriou Nicolas , Charneau Pierre , Perez Franck , Rose Thierry , Lantz Olivier 
Published: December 2020

AbstractAlthough the COVID‐19 pandemic peaked in March/April 2020 in France, the prevalence of infection is barely known. Using high‐throughput methods, we assessed herein the serological response against the severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) of 1847 participants working in three sites of an institution in Paris conurbation.In May–July 2020, 11% (95% confidence interval [CI]: 9.7–12.6) of serums were positive for IgG against the SARS‐CoV‐2 N and S proteins, and 9.5% (95% CI: 8.2–11.0) were neutralizer in pseudo‐typed virus assays. The prevalence of seroconversion was 11.6% (95% CI: 10.2–13.2) when considering positivity in at least one assay. In 5% of RT‐qPCR positive individuals, no systemic IgGs were detected. Among immune individuals, 21% had been asymptomatic. Anosmia (loss of smell) and ageusia (loss of taste) occurred in 52% of the IgG‐positive individuals and in 3% of the negative ones. In contrast, 30% of the anosmia–ageusia cases were seronegative, suggesting that the true prevalence of infection may have reached 16.6%. In sera obtained 4–8 weeks after the first sampling, anti‐N and anti‐S IgG titers and neutralization activity in pseudo‐virus assay declined by 31%, 17%, and 53%, resulting thus in half‐life of 35, 87, and 28 days, respectively.The population studied is representative of active workers in Paris. The short lifespan of the serological systemic responses suggests an underestimation of the true prevalence of infection.
Characterization of SrFe0.9‐xCuxMo0.1O3‐δ (x = 0, 0.1 and 0.2) as cathode for intermediate‐temperature solid oxide fuel cells
Authors: Yao Chuangang , Yang Jixing , Zhang Haixia , Chen Sigeng , Meng Jian , Cai Kedi 
Published: December 2020

SummaryCu doped perovskites SrFe0.9‐xCuxMo0.1O3‐δ (SFCM, x = 0‐0.2) are explored as cathodes for IT‐SOFCs. The influence of Cu doping on the property of SFCM series was studied in detail. The oxygen content decreases with the increase of Cu doping amount. SFCM samples are chemically compatible with LSGM electrolyte. However, the TEC values are still a bit higher than that of some common SOFC electrolytes. At 750°C, the Rp values are 0.261, 0.227 and 0.155 Ω·cm2 for SFCM0, SFCM0.1, and SFCM0.2. The obtained activation energies for x = 0, 0.1, and 0.2 are 1.01, 0.98, and 0.87 eV, respectively. These results indicate that Cu doping into SrFe0.9‐xCuxMo0.1O3‐δ has a favorable effect on the electrochemical activity of the materials.
Enhanced performance of Li‐S battery by constructing inner conductive network and outer adsorption layer sulfur‐carbon composite
Authors: Zhu Ling , Hu Renwen , Xiang Yanhong , Yang Xuexian , Chen Zhe , Xiong Lizhi , Wu Xianwen , He Zeqiang , Lei Weixin 
Published: December 2020

SummaryA liquid phase deposition method is performed to prepare acetylene black/sulfur (AB/S) composites, and in‐situ polymerization is utilized to synthesize polypyrrole (PPY) on the surface of AB/S. The coral‐like structured AB provides huge micropores and vast specific surface area for bonding sulfur, and supplies a 3D conductive matrix for enhancing the conductivity of composite. A plenty of ion channels served by PPY layer can promote the Li+ migration and alleviate the electrode polarization. In addition, the dissolution and diffusion of lithium polysulfides in the electrolyte can be restrained by PPY coating. The volume variation of cathode in the charge‐discharge process can be relieved by the high elastic PPY layer combined with the 3D matrix of AB. The Li‐sulfur battery (LSB) with the AB/S@PPY cathode exhibits an extraordinary cycle stability and rate adaptability with the specific capacities of 1207.1 mAh g−1 at the initial discharge process and 884.4 mAh g−1 even after 100 cycles at 0.2 C. Furthermore, an excellent specific capacity of 675.3 mAh g−1 has been delivered by the AB/S@PPY electrode at a high discharge rate of 2 C.
Experimental and numerical analysis of the multilayer distributed Joule‐Thomson cooler with pillars
Authors: Geng Hui , Cui Xiaoyu , She Hailong , Chang Zhihao 
Published: December 2020

SummaryThe conventional Joule‐Thomson cooler is not compact in heat exchanger and insufficient in cooling capacity, which is limited in applying integrated electronics. However, microchannels with pillars are effective in increasing the area to volume ratio and enhancing heat transfer through the presence of vortex. Besides, multilayer microchannels are essential to enlarge the mass‐flow rate in the cooler. In this study, a multilayer distributed J‐T cooler with pillars is investigated. A new mathematical model of the cooler is developed and validated against the experimental data; the relative errors of the temperature and mass‐flow rate are both within 5%. Furthermore, the distribution of temperature and pressure in the microchannel is analyzed by the model calculation. Numerical results show that the temperature of the high‐pressure fluid decreased slightly under the influence of the heat exchange and distributed J‐T effect. When the inlet pressures are 3.00, 4.00 and 5.40 MPa, the cold‐end temperatures are 233.0, 185.8 and 161.2 K, respectively, with the cooling capacity reaching 2.25, 3.40 and 3.87 W, respectively. In addition, the influences of the axial heat conduction and heat leakage on the cooling performance are analyzed by using the models. The temperature rise of the cold end increases by 6.8 and 6.2 K at 5.40 MPa, respectively, considering the above two factors. The simulation model provides a useful tool for the J‐T cooler.
Influence of rootstocks on fruit physical and chemical properties of peach cv. UFSun
Authors: Shahkoomahally Shirin , Chang Yuru , Brecht Jeffrey K. , Chaparro Jose X. , Sarkhosh Ali 
Published: December 2020

AbstractThe subtropical peach cultivar UFSun grafted on five different rootstocks ('Flordaguard', 'Barton', 'MP‐29', 'P‐22', and 'Okinawa') was investigated in terms of the pomological and biochemical parameters of the fruit. Significant differences in fruit weight and size, soluble solids content, titratable acidity, and firmness were found among some rootstocks. The fruit length and diameter were different between the 'MP‐29' and other rootstocks. It was also found that firmness of 'UFSun' fruit was affected by the rootstock. The highest firmness value was found when 'UFSun' was grafted on 'Flordaguard'.' 'MP‐29' fruit had the highest soluble solids content, but there were no differences among the other rootstocks. 'UFSun' fruit from trees grafted on 'MP‐29' were smaller and had the most intense color compared to 'UFSun' fruit from other rootstocks. Rootstock had a significant influence on total fruit phenolic compounds, anthocyanin content, and total antioxidant activity, with fruit from 'UFSun' on 'MP‐29' having the highest values in all of them. A high correlation between fruit total antioxidant activity and total phenolic content was found. Overall, the results showed that 'MP‐29' seems to induce the highest fruit quality, showing higher contents of total soluble solids, total titratable acidity, total phenolic compounds, total antioxidant activity, and total anthocyanin content. Selecting the right combination of the rootstock and cultivar is important for optimizing fruit quality parameters.
Zeolite‐containing mixture alleviates microbial dysbiosis in dextran sodium sulfate‐induced colitis in mice
Authors: Lyu Weida , Jia Huijuan , Deng Chuanzong , Yamada Seigo , Kato Hisanori 
Published: December 2020

AbstractInflammatory bowel disease (IBD) is a multifactorial immunomodulatory disorder. In relative nosogenesis, gut microbiota has been the focus of research on IBD. In our previous study, we demonstrated the ameliorating effect of zeolite‐containing mixture (Hydryeast®, HY) on dextran sodium sulfate (DSS)‐induced colitis, through transcriptomics and proteomics. In the present study, we performed further investigation from the perspective of metagenomics using the gut microbiota. C57BL6 mice were provided an AIN‐93G basal diet or a 0.8% HY‐containing diet, and sterilized tap water for 11 days. Thereafter, colitis was induced by providing 1.5% (w/v) DSS‐containing water for 9 days. DNA was extracted from the cecal contents and pooled into libraries in a single Illumina MiSeq run. The resulting sequences were analyzed using Quantitative Insights Into Microbial Ecology (QIIME) software. According to the alterations in the relative abundance of certain bacteria, and the related gene and protein expressions, HY supplementation could improve the gut microbiota composition, ameliorate the degree of inflammation, inhibit the colonic mucosal microbial growth, and, to some extent, promote energy metabolism in the colon compared with the DSS treatment. Thus, we believe that HY may be a candidate to prevent and treat IBD.
Leveraging random forest in micro‐enterprises credit risk modelling for accuracy and interpretability
Authors: Uddin Mohammad S. , Chi Guotai , Al Janabi Mazin A. M. , Habib Tabassum 
Published: December 2020

AbstractThis paper applies the Random Forest (RF) method for the robust modelling of credit default prediction. This technique has been proven as an efficient classifier and can provide better interpretability in comparison to other classifiers. Using Chines micro‐enterprise credit data set, this study emphasizes the multidimensional analysis of credit risk, such as the whole sample, subsample, and the incremental effect of the group of predictors. To that end, relative variable importance (RVIs) has been presented for all predictors according to the contribution in the prediction accuracy so that to ensure interpretability of the model. The empirical findings confirm that RF technique is reliable and efficient across all of the criteria used in this study. In addition, the examined experimental analysis indicates that non‐traditional variables have a significant effect on the classification accuracy. Thus, this paper recommends some alternative predictors like the legal representative's basic information, internal non‐financial factors, along with traditional financial variables for sustainable model development. The performance is compared from the perspective of five different performance measures. This modelling algorithm can be used by different financial markets participants to measure systematically credit default prediction of individual and institutional customers.
Oil price risk and the cross‐section of stock returns in Turkey
Authors: Azimli Asil 
Published: December 2020

AbstractThis paper tests whether the oil price risk influence the cross‐section of stock returns in a net oil importing country even after controlling for standard risk factors to stock returns. The paper also tests the relative contribution of the oil price risk to the performance of factor‐based asset pricing models to explain the average returns. Using firm‐level data from Turkey, changes in monthly crude oil prices per barrel of oil is, respectively, added to the Capital Asset Pricing Model (CAPM), three‐factor (3F) model and five‐factor (5F) model and tested against the returns of portfolios constructed based on different firm‐specific fundamentals. The results indicate that the oil price risk factor extracts significant coefficients in the cross‐sectional regressions when conditioned against the returns even after controlling for the market and firm‐specific risk factors. But, the asset pricing summary statistics used to evaluate the relative contribution of the oil price risk suggest that it cannot improve the relative performance of the base asset pricing equations to explain the average stock returns. The results reveal the effectiveness of the factor models to capture the effect of the oil price risk on average returns. The traditional 3F equation offers the highest potential among the models tested.