bluuebunny/crossref_metadata_2025_split huggingface dataset:
Remote sensing satellite’s attitude control system: rapid performance sizing for passive scan imaging mode
Authors: Kosari Amirreza , Sharifi Alireza , Ahmadi Alireza , Khoshsima Masoud 
Published: June 2020

Purpose
Attitude determination and control subsystem (ADCS) is a vital part of earth observation satellites (EO-Satellites) that governs the satellite’s rotational motion and pointing. In designing such a complicated sub-system, many parameters including mission, system and performance requirements (PRs), as well as system design parameters (DPs), should be considered. Design cycles which prolong the time-duration and consequently increase the cost of the design process are due to the dependence of these parameters to each other. This paper aims to describe a rapid-sizing method based on the design for performance strategy, which could minimize the design cycles imposed by conventional methods.

Design/methodology/approach
The proposed technique is an adaptation from that used in the aircraft industries for aircraft design and provides a ball-park figure with little engineering man-hours. The authors have shown how such a design technique could be generalized to cover the EO-satellites platform ADCS. The authors divided the system requirements into five categories, including maneuverability, agility, accuracy, stability and durability. These requirements have been formulated as functions of spatial resolution that is the highest level of EO-missions PRs. To size, the ADCS main components, parametric characteristics of the matching diagram were determined by means of the design drivers.

Findings
Integrating the design boundaries based on the PRs in critical phases of the mission allowed selecting the best point in the design space as the baseline design with only two iterations. The ADCS of an operational agile EO-satellite is sized using the proposed method. The results show that the proposed method can significantly reduce the complexity and time duration of the performance sizing process of ADCS in EO-satellites with an acceptable level of accuracy.

Originality/value
Rapid performance sizing of EO-satellites ADCS using matching diagram technique and consequently, a drastic reduction in design time via minimization of design cycles makes this study novel and represents a valuable contribution in this field.
Time metaphor and regulatory focus
Authors: Xu Xiaobing , Chen Rong 
Published: June 2020

PurposeTwo time metaphors are often adopted to express the passage of time: the ego-moving metaphor that conceptualizes the ego as moving toward the stationary event (e.g. we are approaching the holiday) or the event-moving metaphor that conceptualizes the event as moving toward the stationary ego (e.g. the holiday is approaching us). This paper aims to investigate the influence of the time metaphor on regulatory focus, as well as its downstream marketing implications.Design/methodology/approachFive studies were conducted. Studies 1a–1c examined the moderating effect of the valence of events on the relationship between time metaphors and regulatory focus. Studies 2–3 investigated the downstream marketing implications of the above effects.FindingsThe findings indicated that compared to the event-moving metaphor, the ego-moving metaphor is more likely to evoke a promotion focus when consumers anticipate a positive event. However, when the event is negative, the ego-moving metaphor is more likely to evoke a prevention focus compared to the event-moving metaphor.Research limitations/implicationsThis research extends the previous literature on regulatory focus activation by showing that time metaphors affect regulatory focus, and that event valence plays a critical moderating role in the relationship.Practical implicationsMany companies rely on positive events (e.g. holidays, anniversaries) to market their products. The findings of this research suggest that companies promoting products with promotion-related benefits or products with higher risks should adopt an ego-moving metaphor to describe the coming of the event. In contrast, companies promoting products with prevention-related benefits or products with low risks should adopt an event-moving metaphor to describe the coming of the event.Originality/valueThis research showed that the effects of time metaphors on consumers’ regulatory focus depend on the valence of the events. It also demonstrated the downstream implications of time metaphors by showing that time metaphors influence consumer product choices and financial decisions.
Research on the improvement of technical efficiency of China's property insurance industry: a fuzzy-set qualitative comparative analysis
Authors: Li Zhiguang , Li Yaokuang , Long Dan 
Published: June 2020

PurposeFrom the perspective of cause and effect, the operational processes of property insurance companies can be considered as historical events. The purpose of this study is to measure the operating efficiency of China's property insurance industry, explore the determinants that affect technical efficiency and outline the path to achieving high-quality development.Design/methodology/approachWe chose 44 Chinese property insurance companies as research objects. The data were obtained from the Chinese Insurance Yearbook and China Statistical Yearbook 2015–2017. First, the data envelopment analysis (DEA) method was used to calculate the technical efficiency of property insurance companies. Then, Tobit regression and quantile regression were adopted to explore the influencing factors of technical efficiency. Finally, the fuzzy-set qualitative comparative analysis (fsQCA) method was employed to summarize the path to improving the operating efficiency of property insurance companies.FindingsThe empirical results in the first stage suggested that the operation efficiency of China's property insurance industry was technically inefficient, and the scale efficiency was relatively better than the pure technical efficiency. In the second stage, we observed that the drivers for firm size, reinsurance rate, claim ratio and equity restriction were important determinants of an insurance firm's efficiency.Research limitations/implicationsWe also put forward four applicable, targeted and proven ways to improve the technical efficiency of property insurance companies. These configurations are verified by cases of existing property insurance companies, which can provide practical references for the insurance industry.Originality/valueOur research enriches the insurance literature and efficiency methods, particularly regarding the specific paths of improving the technical efficiency. The relationship between elements and results is analyzed from a systematic perspective, and the research results are not only more consistent with what logic might imply but also more instructive for the improvement of reality.
The digital transformation of SMEs – a new knowledge broker called the digital innovation hub
Authors: Crupi Antonio , Del Sarto Nicola , Di Minin Alberto , Gregori Gian Luca , Lepore Dominique , Marinelli Luca , Spigarelli Francesca 
Published: June 2020

PurposeThis study aims to understand if and how European digital innovation hubs (DIHs) filling the role of knowledge brokers (KBs) can support the digital transformation (DX) of small and medium-sized enterprises (SMEs) by triggering open innovation (OI) practices.Design/methodology/approachAfter presenting a conceptual model of reference, a survey and a subsequent in-depth interview were conducted to capture evidence from Italian DIHs. These structures were selected for their growing importance, as confirmed by the National Plan for Industry 4.0.FindingsThe findings highlight that Italian DIHs act not only as KBs but also as knowledge sources that give rise to a digital imprinting process that is able to shape the DX of SMEs.Originality/valueResearch on knowledge sharing and OI has mainly focused on large firms. The study covers the gaps identified in the literature by considering the role of KBs in enabling SMEs to embrace DX.
Identification of critical brand community variables and constructs using importance-performance analysis and neural networks
Authors: Haverila Matti , Haverila Kai Christian , McLaughlin Caitlin 
Published: June 2020

Purpose
This paper aims to use a unique statistical analysis tool to examine the importance and performance of critical brand community constructs and indicators to make concrete recommendations for brand community managers going forward.

Design/methodology/approach
An online survey was used to gather 501 responses from North American members of the Qualtrics panel. The data was analyzed with partial least squares (PLS) modeling software SmartPLS and neural networks available in statistical software JMP by SAS.

Findings
Using the brand community motives by Madupy and Cooley (2010), the results of this paper indicated that there was significant room for improvement in customer engagement. Based on further analysis, entertainment and identification with the brand community were the most important constructs in driving community engagement so that the identification construct received a “do better” ruling meaning that the improvement of the indentification construct score would enhance significantly the score of the target construct engagement score.

Originality/value
For brand community managers, it is important to know the true importance of the critical brand community constructs and indicators, along with an assessment of current performance. This helps to increase satisfaction and relationship quality among brand community members. The current study uses unique statistical analysis tools to make such concrete recommendations.
Research on trade credit – a systematic review and bibliometric analysis
Authors: Pattnaik Debidutta , Kumar Satish , Vashishtha Ashutosh 
Published: June 2020

PurposeTrade credit (TC) is a financing provision by non-financing firms. The multi-disciplinary research field has sustained scholarly attention for long. Pursuant to the gap for a comprehensive summary of the literature confined to the areas of Finance and Economics, this study aims to provide quantitative and qualitative insights not fully captured or analysed in previous reviews.Design/methodology/approachContextualized systematic literature review (SLR) and bibliometric techniques are used to map the thematic, intellectual and conceptual structures latent in 138 articles published in top journals.FindingsThe top authors, top journals and major themes are recognized using bibliometric techniques followed by an in-depth bibliographic-network-based-content-analysis. Five major clusters indicating the five research dimensions within the specialized field are identified and extensively reviewed. Empirical validation of key theories is discussed in the contents and a conceptual model is developed. Finally, the study has identified key research gaps to set the direction for future research.Research limitations/implicationsThe scope of the literature selection is confined to the areas of finance and economics. Future studies could elaborate on a broader perspective.Originality/valueThe study contributes by offering a conceptual model latent in the literature on TC. It derives major research gaps to set the direction of future research. Also, the combination of SLR and bibliometrics is a methodological contribution in this research domain.
Personality traits as predictor of cognitive biases: moderating role of risk-attitude
Authors: Ahmad Fawad 
Published: June 2020

PurposeThis study aims to examine that personality traits are associated with the investor’s ability to exhibit disposition effect, herding behavior and overconfidence. It also explores how risk-attitude can modify investor behavior by moderating the association between personality traits, disposition effect, herding and overconfidence.Design/methodology/approachData were collected from 396 respondents by using personally administrated survey. Confirmatory factor analysis (CFA) was used to confirm the validity and reliability of data. Regression analysis was used to test the proposed hypotheses.FindingsThe results supported the proposed hypotheses and showed that extravert investors were more likely to exhibit disposition effect, herding and overconfidence. The conscientiousness trait was associated with disposition effect and overconfidence, while neuroticism was associated with herding behavior. The results confirmed the moderating effect of risk aversion on the association between personality traits, disposition effect, herding and overconfidence.Originality/valueThis study demonstrates how risk aversion modes the strength of association between psychological characteristics (represented by personality traits) and cognitive biases (disposition effect, herding and overconfidence). The results support the “auction” interpretation of investors' behavior by suggesting that personality traits are associated with investment decision-making and that investors are marginal price setters.
Optimization of the silica‐gel adsorption technique for the extraction of phytosterol glycosides from soybean lecithin powder using response surface methodology and artificial neural network models
Authors: Kang Jingjing , Cao Dong 
Published: June 2020

AbstractPhytosterol glycosides (PGs), comprising both acylated steryl glycosides (ASGs) and steryl glycosides (SGs), are active ingredients with benefits for human use. Here, we aimed to optimize the silica‐gel adsorption technique for the extraction of PGs from soybean lecithin powder, which contains 5 to 10% of these glycolipids. Both response surface methodology (RSM) and artificial neural networks (ANNs) were applied to optimize the PG extraction parameters (X1 = silica‐gel dosage, X2 = adsorption temperature, and X3 = lecithin concentration) for high‐purity phospholipid and PG production, and their prediction and optimization accuracies were compared. Although both models fitted well with the experimental data, the ANN model demonstrated better accuracy for predicting and optimizing the conditions using four interrelated dependent variables (Y1 = phospholipid yield, Y2 = ASG recovery, Y3 = SG recovery, and Y4 = PG purity) and had a higher coefficient of determination and lower root mean square error and absolute average deviation. After digitally setting the percentages of the four dependent variables for phospholipid and PG production, the ANN‐optimized phospholipid product (Y1 = 88.07%, Y2 = 98.89%, Y3 = 100%, and Y4 = 49.03%) was acquired at X1 = 3.54 g/g, X2 = 26 °C, and X3 = 43 mg/mL, whereas the PG product (Y1 = 83.83%, Y2 = 97.64%, Y3 = 100%, and Y4 = 59.21%) was obtained at X1 = 2.00 g/g, X2 = 28.38 °C, and X3 = 41 mg/mL. In conclusion, the ANN method was better than RSM for the optimization of the silica‐gel adsorption technique for PG extraction from soybean lecithin powder.Practical ApplicationThis paper lays a theoretical foundation for the optimization of the industrial production of phytosterol glycosides and the comprehensive utilization of lecithin resources.
Late Holocene Moisture Changes in the Core Area of Arid Central Asia Reflected by Rock Magnetic Records of Glacier Lake Kalakuli Sediments in the Westernmost Tibetan Plateau and their Influences on the Evolution of Ancient Silk Road
Authors: WU Xudong , LIU Xingqi , APPEL Erwin 
Published: June 2020

AbstractThe evolution of Ancient Silk Road (ASR) was deeply influenced by late Holocene moisture changes in Arid Central Asia (ACA). Nevertheless, controversies in Holocene moisture change pattern of ACA and poorly–constrained age models of related studies have made the discussion about late Holocene moisture changes in ACA and their influences on the evolution of ASR difficult. Recently, a high–resolution age model during the late Holocene was established for Kalakuli Lake, a small glacier lake located in the core area of ACA. A thorough rock magnetic investigation was carried out on Kalakuli Lake sediments based on this age model. The magnetic mineral assemblage of Kalakuli Lake sediments is still dominated by primary magnetite despite minor diagenetic effects. Comparisons of rock magnetic records to parameters previously used as indicator of glacier fluctuations suggest that clastic input to Kalakuli Lake was high (low) and magnetic grain size is relatively larger (smaller), when glaciers on Muztagh Ata advanced (retreated). The ARM/SIRM ratio, a magnetic grain size proxy, is directly related to lake hydrodynamics, which are ultimately controlled by glacier fluctuations on Muztagh Ata as the result of regional moisture changes. Late Holocene moisture changes indicated by the ARM/SIRM ratio are consistent with cool/wet and warm/dry oscillations indicated by the unweighted average of biomarker hydrogen isotopic data of the C26 and C28 n–alkanoic acids in a previous study about Kalakuli Lake, most moisture change records of the core area of ACA and winter insolation of the Northern Hemisphere, but opposite to Asian monsoon evolution. Given Asian monsoon and the westerlies are mutually inhibited, we propose that late Holocene moisture changes in the core area of ACA were controlled by the intensity of Asian monsoon versus the westerlies under the governance of solar insolation. Generally increased moisture since the late Holocene indicated by the ARM/SIRM ratio favored cultural exchange and integration between the western and the eastern Eurasia, which paved the way for the formation of ASR. Coincidence between significant increase in moisture at ~200 BC suggested by the ARM/SIRM ratio and the formation of ASR indicates moisture as an important factor that facilitated the formation of ASR. The onsets of three prosperity periods of ASR in the history generally correspond to periods when moisture was relatively high, nevertheless, stagnant periods of ASR do not coincide with periods when moisture was relatively low in the core area of ACA. Disorganized correlations between stagnant periods of ASR and moisture changes in the core area of ACA suggest that moisture is not the decisive factor influencing the evolution of ASR.
Holocene Moisture Variation Recorded by Aeolian Sand‐Palaeosol Sequences of the Gonghe Basin, Northeastern Qinghai‐Tibetan Plateau, China
Authors: LIU Bing , ZHAO Hui , JIN Heling , CHEN Fahu 
Published: June 2020

AbstractThe northeastern Qinghai‐Tibetan Plateau (QTP) of China is located at the triple junction of the Asian winter and summer monsoons and the westerlies, where paleoclimatic evolution has an important scientific significance for recognizing the spatial‐temporal pattern of Asian monsoons in the past and predicting environmental change in the future. Nevertheless, the framework of the Holocene moisture variation and related mechanisms remain controversial, owing to complex hydroclimatic conditions triggered by the landform of the large mountain‐arid basin. Here, we employed geochemical proxies from typical aeolian sand‐palaeosol sequences in the Gonghe Basin, northeastern QTP, together with Optically Stimulated Luminescence (OSL) dating, to reconstruct the pattern of effective moisture variation and associated mechanisms in this region. Our results indicate that the regional effective moisture was at its lowest until 9–8 ka, and approached a maximum during 8–4/3 ka of the middle Holocene. Afterwards, the climate became relatively dry in general, but with a transient humid interval around 2–1 ka. Our geochemical evidence indicates that the dry early Holocene probably can be attributed to a strong winter monsoon forced by remnant ice sheet, combined with the high evaporation caused by solar insolation. Also, shifts of humid‐dry are closely linked to the Asian summer monsoonal strength and therefore the balance of evaporation‐precipitation in the middle and late Holocene. Thus, the pattern of the Holocene effective moisture variation is characterized as the ‘monsoon model’ in a closed intermontane arid and semi‐arid basin near the western Asian monsoonal limit.
The PMIP3 Simulated Climate Changes over Arid Central Asia during the Mid‐Holocene and Last Glacial Maximum
Authors: XU Hongna , WANG Tao , WANG Huijun , MIAO Jiapeng , CHEN Jianhui , CHEN Shengqian 
Published: June 2020

AbstractIn this study, the climate changes over Arid Central Asia (ACA) during the mid‐Holocene (approximately 6,000 calendar years ago, MH) and the Last Glacial Maximum (approximately 21,000 calendar years ago, LGM) were investigated using multimodel simulations derived from the Paleoclimate Modelling Intercomparison Project Phase 3 (PMIP3). During the MH, the multimodel median (MMM) shows that in the core region of ACA, the regionally averaged annual surface air temperature (SAT) decreases by 0.13°C and annual precipitation decreases by 3.45%, compared with the preindustrial (PI) climate. The MMM of the SAT increases by 1.67/0.13°C in summer/autumn, whereas it decreases by 1.23/1.11°C in spring/winter. The amplitude of the seasonal cycles of the SAT increases over ACA due to different MH orbital parameters. For precipitation, the regionally averaged MMM decreases by 5.77%/5.69%/0.39%/5.24% in spring/summer/autumn/winter, respectively. Based on the analysis of the aridity index (AI), compared with the PI, a drier climate appears in southern Central Asia and western Xinjiang due to decreasing precipitation. During the LGM, the MMM shows that the regionally averaged SAT decreases by 5.04/4.36/4.70/5.12/5.88°C and precipitation decreases by 27.78%/28.16%/31.56%/27.74%/23.29% annually and in the spring, summer, autumn, and winter, respectively. Robust drying occurs throughout almost the whole core area. Decreasing precipitation plays a dominant role in shaping the drier conditions, whereas strong cooling plays a secondary but opposite role. In response to the LGM external forcings, over Central Asia and Xinjiang, the seasonal cycle of precipitation has a smaller amplitude compared with that under the PI climate. In the model‐data comparison, the simulated MH moisture changes over ACA are to some extent consistent with the reconstructions, further confirming that drier conditions occurred during that period than during the PI.
Progesterone/Org inhibits lung adenocarcinoma cell growth via membrane progesterone receptor alpha
Authors: Xiao Jian , Chen Xi , Lu Xiaoxiao , Xie Mingxuan , He Bixiu , He Shuya , You Shaojin , Chen Qiong 
Published: June 2020

BackgroundThe aim of this study was to determine whether progesterone could inhibit the growth of lung adenocarcinoma cells via membrane progesterone receptor alpha (mPRα) and elucidate its potential mechanism. The relationship between mPRα expression and the survival prognosis of lung adenocarcinoma patients was studied.MethodsA mPRα knockdown lung adenocarcinoma cell line was constructed and treated with P4 and Org (a derivative of P4 and specific agonist of mPRα). Cell proliferation was assessed using CCK‐8 and plate colony formation assays. Protein expression was detected by western blotting. A nude mouse model of lung adenocarcinoma was established to assess the antitumor effect of P4/Org in vivo.ResultsWe initially determined that mPRα could promote the development of lung adenocarcinoma through the following lines of evidence. High expression of mPRα both at the mRNA and protein level was significantly associated with the poor prognosis of lung adenocarcinoma patients. The downregulation of mPRα inhibited the proliferation of lung adenocarcinoma cells. We further showed that mPRα mediates the ability of P4 to inhibit the growth of lung adenocarcinoma cells through the following lines of evidence: P4/Org inhibited the proliferation of lung adenocarcinoma cells; mPRα mediated the ability of P4/Org to inhibit lung adenocarcinoma cell proliferation; mPRα mediated the ability of P4/Org to inhibit the PKA (cAMP‐dependent protein kinase)/CREB (cAMP responsive element binding protein) and PKA/β‐catenin signaling pathways; and P4/Org inhibited the growth of a lung adenocarcinoma tumor model in vivo.ConclusionsIn summary, the results of our study show that progesterone can inhibit lung adenocarcinoma cell growth via mPRα.