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The soaring number of researchers has led to increasingly intense competition in academia. Early identification of scientists’ potential is a practical but difficult issue currently attracting escalating attention. This study takes the business field as an example and explores whether early publishing in top journals is an effective yardstick to recognise scientists who will have better academic performance in their careers. We extract the career records of publication and citations for 1933 business scientists with stable and continuous publication records from the combination of the ORCID and Scopus databases. Through regression analysis and various checks, we find that researchers publishing in top journals early in their careers indeed perform better subsequently compared to peers with similar early career profiles but no top journal publications. Our research sheds light on a new perspective for early identification of potential star scientists, especially in the business field, and justifies encouraging junior researchers to devote themselves to publishing in top-ranked peer-reviewed journals.

In recent years, the carbon footprint is regarded as the most important assessment tool of greenhouse gas emissions; it has attracted great attention of Chinese and foreign governments, enterprises, and relevant scholars. However, the comparative bibliometric analysis of Chinese and foreign articles on the carbon footprint research is still limited; thus, it has become the motivation of the present study. To quantitatively analyse the bibliometric differences between Chinese and foreign literature of the carbon footprint research, 673 Chinese articles and 3755 foreign articles between 2007 and 2020 were extracted from the Web of Science Core Collection database. On this basis, the publications, publishers, journals, authors, and institutions of Chinese and foreign articles were compared, and especially, the keyword and citation analysis results were obtained via the biblioshiny tool of bibliometrix R package. Results show that the output and influence of foreign articles are more prominent than Chinese articles in general. The foreign carbon footprint research is more systematic and mature than Chinese research, and both sides have some research topics of common concern and maintain their own research characteristics. Specific results may provide some reference for relevant researchers, policy makers, and the public.

Numerical simulation and theoretical prediction show that the observed exponential decrease of the a.f. noise frequency with sampling depth in an ICP source result from a coupling effect of vortex dissipation both at torch outlet and sampling gap.

Large amounts of CO2 from human socioeconomic activities threaten environmental sustainability. Moreover, uncontrolled resource use and lack of relevant technology exacerbate this issue. For this reason, carbon capture, utilization, and storage (CCUS) technology has gained worldwide attention. Many scholars have researched CCUS, but few have used CCUS patent bibliometric analysis from a unified perspective. This article aims to provide a conclusive analysis for CCUS researchers and policymakers, as well as summarize the innovation trends, technological distribution, and topic evolution. Based on 11,915 pieces of patent data from the Derwent Innovations Index, we used bibliometric analysis and data mining methods to conduct research on four dimensions: overall trend, geographical distribution, patentees, and patent content. The results of this article are as follows. CCUS has entered a rapid development stage since 2013. Patents are mainly distributed geographically in China, the US, and Japan, especially in heavy industries such as energy and electricity. Large enterprises hold patents with a relatively stable network of cooperators and attach great importance to international patent protection. A total of 12 topics were identified through clustering, and these topics gradually shifted from technicalities to commercialization, and from industrial production to all aspects of people’s daily lives.

Big data and analytics are reshaping asset management workflows in the oil and gas industry, and the speed of implementation is accelerating. In many assets, the gas compression system is the core element to drive the process flow from one point to another and, is critical for maintaining the uptime of an asset. However, performance data often shows that compression systems have a high frequency of failures due to the complex assembly and high-speed moving parts. Therefore, the ability to monitor and predict the operational status of a compression system will benefit the asset in three ways: improve operational safety and reliability, increase the mean time between failure (MTBF), and reduce system downtime. This paper presents a novel approach to building a predictive workflowto do just that, using a case study of a compression system deployed in a gas field surface facility to illustrate the development process and demonstrate the benefits. The workflow presented covers data collection and selection,cleaning, preprocessing, and prediction of compression system health status through machine learning (ML).

The objective of this study is to synthesize a series of sesamol-based phenolic acid derivatives, which were designed by combination principle. The hypolipidemic activity of all these compounds was preliminarily screened by acute hyperlipidemic mice model induced by Triton WR 1339, in which compound T6 exhibited more significant reducing plasma TG and TC than fenofibrate. Compound T6 was also found to obviously decrease TG and TC both in the plasma and hepatic tissue of high-fat-diet-induced hyperlipidemic mice. Moreover, T6 showed hepatoprotective effects, which remarkable amelioration in characteristic liver enzymes was examined and the histopathological observation displayed that compound T6 inhibited lipids accumulation in the hepatic. The levels of PPAR-α receptor related to lipids metabolism in hepatic tissue were upregulated after T6 treatment. Other potent effects of T6 such as antioxidant and anti-inflammatory activity were also observed. On the bases of these findings, compound T6 may serve as an effective hypolipidemic and hepatoprotective agent.

Highly selective recognition and purification of target proteins from complex biological matrices remains a challenging subject in natural and life sciences. Compared with natural recognition receptors, artificial imprinted polymers are an ideal alternative candidate. In this study, we report a novel method to prepare helical protein imprinted fibers (HPIFs) with zucchini-derived microcoils as a carrier, firstly. Inspired by the self-polymerization of adhesive proteins in mussels, dopamine and 3,4-dihydroxyphenylacetic acid were chosen as bifunctional monomers for the first time to form a biocompatible imprinted layer. The chemical/physical properties and recognition performance of HPIFs were studied in a series of experiments. Additionally, the practicability of HPIFs was verified by specifically recognizing target protein in complex egg white sample. The one-step synthesis process and excellent binding performance of HPIFs make them a promising material for protein recognition and purification, and endow HPIFs with potential application value in the food, chemical and pharmaceutical fields.

Oxidative stress and inflammation were considered to be the major mechanisms in liver damage caused by clofibrate (CF). In order to obtain lipid-lowering drugs with less liver damage, the structure of clofibrate was optimized by O-desmethyl anetholtrithione and got the target compound clofibrate-O-desmethyl anetholtrithione (CF-ATT). CF-ATT significantly reduced the levels of plasma triglycerides (TG), total cholesterol (TC) in hyperlipidemia mice induced by Triton WR-1339. In addition, CF-ATT has a significantly protective effect on the liver compared with CF. The liver weight and liver coefficient were reduced. The hepatic function indexes were also decreased, such as aspartate aminotransferase (AST), alanine aminotransferase (ALT), and alkaline phosphatase (ALP). Histopathological examination of the liver revealed that inflammatory cell infiltration, nuclear degeneration, cytoplasmic loosening and hepatocyte necrosis were ameliorated by administration with CF-ATT. The hepatoprotective mechanism showed that CF-ATT significantly up-regulated Nrf2 and HO-1 protein expression and down-regulated p-NF-κB P65 expression in the liver. CF-ATT has obviously antioxidant and anti-inflammatory activity. These findings suggested that CF-ATT has significant hypolipidemia activity and exact hepatoprotective effect possibly through the Nrf2/NF-κB-mediated signal pathway.

In the era of all-encompassing Big Data and the Internet of Things (IoT), mastery of Instrument Control (I&C) and SCADA systems deployment is becoming more important as the Operational Technology (OT) foundation for digital integration, data gathering, processing, analytics, and the optimization of business results. Integration and communication between different I&C and SCADA products and systems in an Oil and Gas project represent a significant challenge. The issues encountered on projects globally can prolong project schedules from weeks to months with consequential impacts on commercial gas production, project cash flow, and economics. This paper presents how to enable digital operations through holistic design, well-organized kickoff, effective Integrated Factory Acceptance Test (IFAT), and timely commissioning of I&C and SCADA systems for surface facilities of a gas field development project. It provides a feasible, economical and proven solution to address the foregoing challenges. Furthermore, in this paper we present a snapshot of how to use the latest data-science technology to bring out the value of the gold mine - big data generated by the I&C and SCADA systems.

Nuclear power has become an effective way of addressing environmental challenges such as resources depletion and climate change and is consistent with a strategy of sustainable development. However...

Evaluating the scholarly reputation of journals has become one of the key concerns and research focuses in academia. The scholarly performance of a journal’s editorial team helps to enhance the journal’s academic impact. This paper develops an editorial team scholarly index from the new perspective of journal editorship, combining the editors’ scholarly performance and the editors’ titles (e.g., associate, assistant) to provide an alternative indicator for evaluating academic journal reputation. This index is useful to measure and rank journals, especially new journals. The paper classifies journal editorial teams and evaluates academic journals using data for 738 members of editorial teams for 21 well-known journals in the field of library and information science. The study concludes that the new index has a significantly positive relationship with journal reputation and shows that the journals’ rankings according to the new index are neither far away from nor uselessly close to the four baseline indicators traditionally measuring journal reputation. Finally, the research finds that there are significant positive correlations between journal reputation and the new index when three different levels of titles of editors are considered, and a comparative empirical analysis of the title levels is provided.

Research on environmental footprint family (EFF), including these studies of environmental footprints and footprint family, has been widely applied to environmental impact assessment and sustainability evaluation. Although some bibliometric studies have focused on footprint indicators, there is still the lack of the contrast of Chinese and foreign literature in the field of EFF and the conclusions of successful practices at home and abroad in recent years. Unlike most previous papers, we improve the search strategy for collecting accurate documents data and compare China and foreign from a unified international perspective. Two datasets covering 1103 Chinese and 6011 foreign articles between 1996 and 2019 were collected to compare their bibliometric differences in EFF research. We not only comparatively investigate the overview of Chinese and foreign articles in EFF field based on the objects of publications, journals, authors, and institutions, but also explore their differences in the conceptual and intellectual structure from the aspects of keywords and citation analysis. For example, we can deduce that Chinese articles tend to engage in applied research and lack of theoretical innovations and breakthroughs in this field. Our comparative research results are useful and helpful for the public, policymakers, and researchers in this filed.

This study aimed to obtain tyrosinase inhibitors for treating hyperpigmentation. A series of cinnamyl ester analogues were designed and synthesized with cinnamic acid (CA) and peaonol compounds. The safety, melanin content and inhibitory effects of all target compounds were evaluated. In the enzymatic activity test, the inhibitory rate of compounds 8, 13 and 14 had stronger inhibitory activity with the IC50 values of 20.7 μM, 13.98 μM and 15.16 μM, respectively than the positive drug kojic acid (IC50 with 30.83 μM). The cytotoxicity evaluation showed that compounds 13 and 14 have higher safety than the other compounds to the proliferation of B16F10 cells. The result of the melanocyte test supported that compound13 has stronger cellular tyrosinase inhibitory activity than kojic acid and arbutin at 100 μM and 200 μM. The enzyme kinetics mechanism revealed that compound 13 was a non-competitive inhibitor while compounds 8 and 14 were mixed inhibitors. For the experiments of melanin content and tyrosinase activity in the B16F10 melanona cells, the inhibition rates of compounds 8, 14 and 13 were with 19.62%, 20.59% and 23.83%, respectively. In addition, compound 13 revealed the highest inhibitory activity to tyrosinase in the melanocyte with inhibition rates of 23.83%, which was better than kojic acid and arbutin (19.21% and 20.45%) at the same concentration. In the anti-melanogenesis experiment, compounds 8 and 13 had better anti-melanin effects than kojic acid from 25 μM to 100 μM. In summary, the results indicated that compounds 8, 13 and 14 had better tyrosinase inhibitory activity and anti-melanogenesis activity. Especially, the compound 13 has potentiality to develop novel tyrosinase inhibitors and whitening agents. The docking studies results revealed that the functional group of compound 13 mostly depends on the phenolic hydroxyl moiety, and its hydroxyl group did not insert into the active site of tyrosinase, which was in agreement with the results of the kinetics study.

The bis-benzodioxole-fibrate hybrids were designed by structural simplification and bioisostere principle. Lipids lowering activity was preliminarily screened by Triton WR 1339 induced hyperlipidemia mice model, in which T3 showed the best hypolipidemia, decreasing plasma triglyceride (TG) and total cholesterol (TC), which were better than sesamin and fenofibrate (FF). T3 was also found to significantly reduce TG, TC and low density lipoprotein cholesterin (LDL-C) both in plasma and liver tissue of high fat diet (HFD) induced hyperlipidemic mice. In addition, T3 showed hepatoprotective activity, which the noteworthy amelioration in liver aminotransferases (AST and ALT) was evaluated and the histopathological observation exhibited that T3 inhibited lipids accumulation in the hepatic and alleviated liver damage. The expression of PPAR-α receptor involved lipids metabolism in liver tissue significantly increased after T3 supplementation. Other potent activity, such as antioxidation and anti-inflammation, was also observed. The molecular docking study revealed that T3 has good affinity activity toward to the active site of PPAR-α receptor. Based on these findings, T3 may serve as an effective hypolipidemic agent with hepatoprotection.

A series of target compounds 1,3-benzodioxole-based fibrate derivatives were designed and synthesized. All the target compounds were preliminarily evaluated by hyperlipidemia mice induced by Triton WR-1339, in which compound 12 displayed a greater anti-hyperlipidemia activity than other compounds as well as positive drug fenofibrate (FF). 12 showed a significant reduction of plasma lipids, such as triglycerides (TG), total cholesterol (TC) and low-density lipoprotein cholesterin (LDL-C), in high fat diet (HFD) induced hyperlipidemic mice. In addition, hepatic transaminases (AST and ALT) were ameliorated after administration of 12, in particular the AST, and the histopathological examination showed that 12 improved the hepatic lipid accumulation. The expression of PPAR-α involved in lipids metabolism was up-regulated in the liver tissues of 12-treated group. Other significant activity such as antioxidant, and anti-inflammation was confirmed and reinforced the effects of 12 as a potential hypolipidemia and hepatoprotective agent.

Journal subject categorisation is not only a significant foundation for evaluating journal impact and ranking journals but also has become an increasingly important research focus in academia. As the gatekeepers of scholarly journals, editors play a critical role in directing their journal’s subject orientation. In this study, the category of Information Science and Library Science (IS-LS) is reclassified according to editorship information covering research interests, research experience, professional identity, and affiliated departments. Unlike earlier studies using interlocking editorship data, this study utilises the subject-related information of 232 editors to classify 77 IS-LS journals into five categories: Management Information Systems (MIS, 22 journals), Information Science (IS, 14 journals), Library Science (LS, 28 journals), Scientometrics (SM, 3 journals), and “Others” (10 journals). The study concludes that there are descriptive differences in editorship characteristics for the subfields’ journals, such as a size advantage in the editorial team of the majority of MIS journals compared to LIS journals (our LIS category consists of IS, LS, and SM journals). Our technique of journal subject categorisation is novel, making our research meaningful and helpful for editorial team governance of journals, including, in selecting editors with a variety of research focus backgrounds.

Six novel target compounds 5-(4-hydroxyphenyl)-3H-1,2-dithiole-3-thione (ADT) based fibrates were synthesized and evaluated. All the synthesized compounds were preliminarily screened by using the Triton WR-1339-induecd hyperlipidemia model, in which T1 exhibited more potent hypolipidemic property than positive drug fenofibrate (FF). T1 also significantly decreased serum triglycerides (TG), total cholesterol (TC) and low density lipoprotein cholesterin (LDL) in methionine solution (Mets) induced hyperlipidemic mice. Moreover, hepatic transaminases (AST and ALT) were obviously ameliorated after treatment with T1 and the histological observation indicated that T1 ameliorated the injury in liver tissue and inhibited the hepatic lipid accumulation. In the livers of T1-administrated rat, the levels of PPARα related to lipids metabolism were up-regulated. Additional effects such as antioxidant, anti-inflammatory and H2S releasing action confirmed and reinforced the activity of T1 as a potential multifunctional hypolipidemic and hepatoprotective agent.