bluuebunny/crossref_metadata_2025_split huggingface dataset:
Reciprocating compressor valve damage estimation under varying speeds through the acoustic emission technique
Authors: Sim Hoi-Yin , Ramli Rahizar , Saifizul Ahmad 
Published: August 2019

Purpose
The purpose of this paper is to examine the effect of reciprocating compressor speeds and valve conditions on the roor-mean-square (RMS) value of burst acoustic emission (AE) signals associated with the physical motion of valves. The study attempts to explore the potential of AE signal in the estimation of valve damage under varying compressor speeds.

Design/methodology/approach
This study involves the acquisition of AE signal, valve flow rate, pressure and temperature at the suction valve of an air compressor with speed varrying from 450 to 800 rpm. The AE signals correspond to one compressor cycle obtained from two simulated valve damage conditions, namely, the single leak and double leak conditions are compared to those of the normal valve plate. To examine the effects of valve conditions and speeds on AE RMS values, two-way analysis of variance (ANOVA) is conducted. Finally, regression analysis is performed to investigate the relationship of AE RMS with the speed and valve flow rate for different valve conditions.

Findings
The results showed that AE RMS values computed from suction valve opening (SVO), suction valve closing (SVC) and discharge valve opening (DVO) events are significantly affected by both valve conditions and speeds. The AE RMS value computed from SVO event showed high linear correlation with speed compared to SVC and DVO events for all valve damage conditions. As this study is conducted at a compressor running at freeload, increasing speed of compressor also results in the increment of flow rate. Thus, the valve flow rate can also be empirically derived from the AE RMS value through the regression method, enabling a better estimation of valve damages.

Research limitations/implications
The experimental test rig of this study is confined to a small pressure ratio range of 1.38–2.03 (free-loading condition). Besides, the air compressor is assumed to be operated at a constant speed.

Originality/value
This study employed the statistical methods namely the ANOVA and regression analysis for valve damage estimation at varying compressor speeds. It can enable a plant personnel to make a better prediction on the loss of compressor efficiency and help them to justify the time for valve replacement in future.
Media richness, social presence and loyalty to mobile instant messaging
Authors: Tseng Fan-Chen , Cheng T.C.E. , Yu Pei-Ling , Huang Tzu-Ling , Teng Ching-I. 
Published: August 2019

Purpose
Mobile instant messaging (MIM) apps could provide rich and instant information in employees’ communication. However, how media richness impacts MIM user loyalty is unknown. The purpose of this paper is to adopt media richness and social presence theories as theoretical foundations to address this insufficiency.

Design/methodology/approach
Collecting 247 responses from an online survey, the authors use structural equation modelling for data analysis and hypothesis testing.

Findings
The authors found that immediate feedback and personal focus are the main aspects of media richness that are positively related to social presence, relatedness need satisfaction and user loyalty to MIM.

Originality/value
This is the first study using two pertinent theories to explain how aspects of media richness affect user loyalty to MIM. The present findings suggest that firms developing MIM apps focus on immediate feedback and personal focus as effective means to encourage user loyalty.
The mediating effect of service provider expertise on the relationship between institutional trust, dispositional trust and trust intakafulservices
Authors: Mohy-Ul-Din Sajid , Samad Sarminah , Rehman Mohsin Abdur , Ali Mirza Zaar , Ahmad Usman 
Published: August 2019

PurposeThis study aims to investigate the relationship between institutional trust, dispositional trust and trust intakafulproducts with the mediating effect of service-provider expertise.Design/methodology/approachThe data for this study were collected from 385takafulpolicyholders from Lahore and Islamabad, Pakistan. The relationship is estimated with PLS-SEM using the bias-corrected bootstrapping method.FindingsFor paths 1 and 2, the results suggest a significant positive relationship between institutional trust, dispositional trust, service provider expertise and trust intakafulproducts. Results for the bias-corrected bootstrapping model revealed that service provider expertise mediates the relationship between intuitional trust, dispositional trust and trust intakafulproducts.Research limitations/implicationsData were collected from provincial and federal capital cities of Pakistan where institutional setting is much much as compared to other citiesPractical implicationsFrom the managerial perspective, the dispositional trust would help them in choosing appropriate marketing strategy, segmentation, new product development, targeting and positioning to increase penetration. At the same time,takafulcompanies need to improve their expertise, knowledge and information-sharing mechanism for fostering overall consumer perception of trust intakafulproducts.Social implicationsInsurance, conventional or Islamic, is meant to transfer risk to the third party. Regulators need to improve overall institutional factors because improvement will strengthen the trust level of the general public. Stringent institutional settings act as a sense of strong structural assurance and situational normality. A rise in trust level would induce people to purchase more policies and carry on risky investments that would ultimately result in higher economic growth.Originality/valueTo the best of the authors’ knowledge, no empirical study has been conducted to examine the impact of institutional and dispositional trust on trust intakafulproducts with the mediating effect of service provider expertise
Analysing online reviews to investigate customer behaviour in the sharing economy
Authors: Lee Carmen Kar Hang , Tse Ying Kei , Zhang Minhao , Ma Jie 
Published: August 2019

Purpose
The purpose of this paper is to investigate attributes that influence Airbnb customer experience by analysing online reviews from users staying in London. It presents a text mining approach to identify a set of broad themes from the textual reviews. It aims to highlight the customers’ changing perception of good quality of accommodations.

Design/methodology/approach
This paper analyses 169,666 reviews posted by Airbnb users who stayed in London from 2011 to 2015. Hierarchical clustering algorithms are used to group similar words into clusters based on their co-occurrence. Longitudinal analysis and seasonal analysis are conducted for a more coherent understanding of the Airbnb customer behaviour.

Findings
This paper provides empirical insights about how Airbnb users’ mindset of good quality of accommodations changes over a five-year timespan and in different seasons. While there are common attributes considered important throughout the years, exclusive attributes are discovered in particular years and seasons.

Research limitations/implications
This paper is confined to Airbnb experiences in London. Researchers are encouraged to apply the proposed methodology to investigate Airbnb experiences in other cities and detect any change in customer perception of quality stay.

Practical implications
This paper offers implications for the prioritisation of customer concerns to design and improve services offerings and for alignment of services with customer expectations in the sharing economy.

Originality/value
This paper fulfils an identified need to examine the change in customer expectation across the timespan and seasons in the case of Airbnb. It also contributes by illustrating how big data can be used to uncover key attributes that facilitate the engagement with the sharing economy.
Money supply and inflation impact on economic growth
Authors: Doan Van Dinh 
Published: August 2019

Purpose
At present, countries are concerned about inflation and the impact of inflation on each country’s economic growth. This inflation has been said by economists that inflation is a phenomenon of currency and currency, which has caused inflation in some countries by their monetary policy. According to the economic theory of Karl Marx, Irving Fisher, Friedman, inflation is caused by a continuous increase in the money supply.

Design/methodology/approach
The economic theories of Fisher, Friedman and an econometric model are applied to analyse the relationship between money supply and inflation. Besides, Vietnam’s and China’s research data are also collected in the period of 2012-2016.

Findings
It is found out that the continuous increase in the money supply causes inflation in the long-term, but the continuous increase in the money supply growth does not cause inflation in a short time, this was analyzed based on the theory of monetary quantity. Moreover, Chia’s and Vietnam’s correlations of the money supply growth and inflation are 99.1 per cent. These correlations are very close.

Originality/value
Research results show that money supply and inflation are closely related, and the money supply directly affects economic growth. Therefore, the government should have the relevant monetary policy to grow the economy and proposals to make monetary policy, control inflation levels and stimulate economic growth.
Multi-objective optimization in wire-EDM process using grey relational analysis method (GRA) and backpropagation neural network–genetic algorithm (BPNN–GA) methods
Authors: Soepangkat Bobby Oedy Pramoedyo , Norcahyo Rachmadi , Rupajati Pathya , Effendi Mohammad Khoirul , Agustin Helena Carolina Kis 
Published: August 2019

Purpose
The purpose of this paper is to investigate prediction and optimization of multiple performance characteristics in the wire electrical discharge machining (wire-EDM) process of SKD 61 (AISI H13) tool steel.

Design/methodology/approach
The experimental studies were conducted under varying wire-EDM process parameters, which were arc on time, on time, open voltage, off time and servo voltage. The optimized responses were recast layer thickness (RLT), surface roughness (SR) and surface crack density (SCD). Arc on time was set at two different levels, whereas the other four parameters were set at three different levels. Based on Taguchi method, an L18 mixed-orthogonal array was selected for the experiments. Further, three methods, namely grey relational analysis (GRA), backpropagation neural network (BPNN) and genetic algorithm (GA), were applied separately. GRA was performed to obtain a rough estimation of optimum drilling parameters. The influences of drilling parameters on multiple performance characteristics were determined by using percentage contributions. BPNN architecture was determined to predict the multiple performance characteristics. GA method was then applied to determine the optimum wire-EDM parameters.

Findings
The minimum RLT, SR and SCD could be obtained by setting arc on time, on time, open voltage, off time and servo voltage at 2 ms, 3 ms, 90 volt, 10 ms and 38 volt, respectively. The experimental confirmation results showed that BPNN-based GA optimization method could accurately predict and significantly improve all of the responses.

Originality/value
There were no publications regarding multi-response optimization using a combination of GRA and BPNN-based GA methods during wire-EDM process available.
Right-first-time dyeing: a design of experiments approach for the optimisation of dyeing-processes using hard water
Authors: Faisal Saira , Tronci Aurelio , Ali Muhammad , Bashir Erum , Lin Long 
Published: August 2019

PurposeThe purpose of this study was to optimise the dyeing conditions to achieve right-first-time dyeing in hard water. Owing to the persistent water scarcity for more than two decades now, the textile industry in Pakistan is forced to rely on high-mineral-content ground water for use in textile wet processing. Furthermore, the limited amount of municipal water that is at the disposal of the textile industry is also high in mineral content. Thus, on the large scale, water hardness has become an acute problem for the textile processor. In particular, in the dyeing process, water hardness is known to have crucial effects. However, to-date, no systematic study has been conducted on this aspect of textile dyeing.Design/methodology/approachIn this study, 32full factorial design was used to optimise the dyeing conditions to achieve right-first-time dyeing in hard water. Thus, cotton fabric was dyed with Red Reactive dye (of dyebath concentration at 5, 10 and 15 g/L) in prepared hard water (of hardness at 10, 40 and 70°dH), respectively. Analysis of variance, coefficient of determination (R2) andp-values for the models were used to evaluate the adequacy of the predictive models. The surface plots of the effects were studied to further examine the interactions of two independent variables. Derringer’s desirability function was used to determine the optimum levels of each variable.FindingsThree levels for both independent variables generate second-order polynomial models to predict the colour strength, lightness, red/green, yellow/blue and total colour difference values of dyed cotton. The obtained predictive models point out the considerable influence of both water hardness and dye concentration on right-first-time dyeing.Originality/valueSuch a finding enabled the dye-mill to produce the correct shade at water hardness of 10°dH and 15 g/L dye concentration, without the need for corrective reprocessing.
Consumer behaviour analysis and non-adoption of behavioural interventions: implications for managerial action
Authors: Ntinas Konstantinos M. 
Published: August 2019

Purpose
Direct care staff may be resistant to the use of behavioural interventions. Whilst some research suggests that resistance to the cost of behavioural interventions is one factor of influence, there is lack of research exploring why staff are influenced by the cost. The purpose of this paper is to explore this issue.

Design/methodology/approach
In this paper, the phenomenon of resistance is analysed with the help of behavioural economics and of the behavioural perspective model (BPM).

Findings
The resistance to the cost of behavioural interventions is correlated with the low quality of the working environment and ways in which staff might attend to factors which protect their own well-being.

Practical implications
Services might need to focus on the ways in which behavioural interventions protect staff’s well-being.

Originality/value
This paper explores the use of the BPM and of behavioural economics as conceptual tools for the analysis of the factors leading to non-adoption of behavioural interventions.
Earlier plant growth helps compensate for reduced carbon fixation after 13 years of warming
Authors: Winkler Daniel E. , Grossiord Charlotte , Belnap Jayne , Howell Armin , Ferrenberg Scott , Smith Hilda , Reed Sasha C. 
Published: August 2019

Abstract

Drylands play a dominant role in global carbon cycling and are particularly vulnerable to increasing temperatures, but our understanding of how dryland ecosystems will respond to climatic change remains notably poor. Considering that the area of drylands is projected to increase by 11%–23% by 2,100, understanding the impacts of warming on the functions and services furnished by these arid and semi‐arid ecosystems has numerous implications.

In a unique 13‐year ecosystem warming experiment in a south‐western U.S. dryland, we investigated the consequences of rising temperature on Achnatherum hymenoides, a widespread, keystone grass species on the Colorado Plateau. We tracked individual‐ and population‐level responses to identify optimal strategies that may have been masked if considering only one level of plant response.

We found several factors combined to affect the timing and magnitude of plant responses during the 13th year of warming. These included large warming‐induced biomass increases for individual plants, an 8.5‐day advancement in the growing season and strong reductions in photosynthetic rates and population cover.

Importantly, we observed a lack of photosynthetic acclimation and, thus, a warming‐induced downregulation of photosynthetic rates. However, these physiological responses were concurrent with warmed‐plant increases in growing season length and investment in photosynthetic surfaces, demonstrating the species’ ability to balance carbon fixation limitations with warming.

These results, which bring together ecophysiological, phenological, reproductive and morphological assessments of plant responses to warming, suggest that the extent of change in A. hymenoides populations will be based upon numerous adaptive responses that vary in their direction and magnitude. Plant population responses to climatic warming remain poorly resolved, particularly for Earth's drylands, and our in situ experiment assessing multiple strategies offers a novel look into a warmer world.

A free Plain Language Summary can be found within the Supporting Information of this article.
Life in the dark: far‐red absorbing cyanobacteria extend photic zones deep into terrestrial caves
Authors: Behrendt Lars , Trampe Erik L. , Nord Nadia B. , Nguyen Jen , Kühl Michael , Lonco Danijela , Nyarko Alex , Dhinojwala Ali , Hershey Olivia S. , Barton Hazel 
Published: August 2019

SummaryChlorophyll (Chl) f and d are the most recently discovered chlorophylls, enabling cyanobacteria to harvest near‐infrared radiation (NIR) at 700–780 nm for oxygenic photosynthesis. Little is known about the occurrence of these pigments in terrestrial habitats. Here, we provide first details on spectral photon irradiance within the photic zones of four terrestrial cave systems in concert with a detailed investigation of photopigmentation, light reflectance and microbial community composition. We frequently found Chl f and d along the photic zones of caves characterized by low light enriched in NIR and inhabited by cyanobacteria producing NIR‐absorbing pigments. Surprisingly, deeper parts of caves still contained NIR, an effect likely attributable to the reflectance of specific wavelengths by the surface materials of cave walls. We argue that the stratification of microbial communities across the photic zones of cave entrances resembles the light‐driven species distributions in forests and aquatic environments.
How does being part of a pediatric accountable care organization impact health service use for children with disabilities?
Authors: Song Paula H. , Xu Wendy Yi , Chisolm Deena J. , Alexy Emily R. , Ferrari Renée M. , Hilligoss Brian , Domino Marisa Elena 
Published: August 2019

AbstractObjectiveTo examine the impact of a Medicaid‐serving pediatric accountable care organization (ACO) on health service use by children who qualify for Medicaid by virtue of a disability under the “aged, blind, and disabled” (ABD) eligibility criteria.Data Sources/Study SettingWe evaluated a 2013 Ohio policy change that effectively moved ABD Medicaid children into an ACO model of care using Ohio Medicaid administrative claims data for years 2011‐2016.Study DesignWe used a difference‐in‐difference design to examine changes in patterns of health care service use by ABD‐enrolled children before and after enrolling in an ACO compared with ABD‐enrolled children enrolled in non‐ACO managed care plans.Data Collection/Extraction MethodsWe identified 17 356 children who resided in 34 of 88 counties as the ACO “intervention” group and 47 026 ABD‐enrolled children who resided outside of the ACO region as non‐ACO controls.Principal FindingsBeing part of the ACO increased adolescent preventative service and decreased use of ADHD medications as compared to similar children in non‐ACO capitated managed care plans. Relative home health service use decreased for children in the ACO.ConclusionsOur overall results indicate that being part of an ACO may improve quality in certain areas, such as adolescent well‐child visits, though there may be room for improvement in other areas considered important by patients and their families such as home health service.
Reevaluation of a rightward shift in colorectal cancer: A single‐center retrospective study in Tianjin
Authors: Wu Jing Yi , Chen Dan Feng , Liu Tian Yu , Dong Wen Xiao , Liu Xiang , Wang Si Nan , Xie Run Xiang , Liu Wen Tian , Wang Bang Mao , Cao Hai Long 
Published: August 2019

ObjectivesSome Western reports have shown a proximal shift in colorectal cancer (CRC), but there are few studies in China. This study aimed to provide more information for the management and screening of CRC by investigating trends in the anatomic distribution of CRC among the Chinese population in recent years.MethodsA retrospective study was conducted on patients with CRC admitted to the Digestive Endoscopy Center of Tianjin Medical University General Hospital between January 2000 and December 2017. Patients were divided into a left‐sided colorectal cancer (LSCRC) group and a right‐sided colon cancer (RSCC) group. The detection rates of LSCRC and RSCC based on patients' age and sex, and on the time periods were analyzed.ResultsA total of 2319 cases were diagnosed with CRC among 75 183 consecutive patients. The prevalence of CRC showed a significant reduction from 2000‐2008 to 2009‐2017 (3.8% vs 2.7%, P < .001). The proportion of RSCC presented a downtrend from 2000‐2008 to 2009‐2017 (40.6% vs 37.7%, P > .05). There were slightly more RSCCs in female patients than in male patients, with no significant difference (40.9% vs 36.5%, P > .05). The proportion of RSCC in patients aged ≥50 years was similar to that in younger patients. The alarming symptoms between LSCRC and RSCC showed a significant difference (P < .05).ConclusionsIn the present study, the prevalence of CRC declined significantly with time. However, there did not appear to be a rightward shift in CRC among the patients in Tianjin over the past 18 years.
Prognostic value of pretreatment inflammatory biomarkers in primary small cell carcinoma of the esophagus
Authors: Wang Nan , Li Xue , Luo Hui , Sun Yanan , Zheng Xiaoli , Fan Chengcheng , Wang Hao , Ye Ke , Ge Hong 
Published: August 2019

BackgroundGrowing evidence indicates that several inflammatory biomarkers may predict survival in patients with malignant tumors. The aim of this study was to evaluate the prognostic value of pretreatment biomarkers in patients with primary small‐cell carcinoma of the esophagus (PSCCE).MethodsA total of 73 PSCCE patients enrolled between January 2009 and December 2017 at the Affiliated Cancer Hospital of Zhengzhou University. The total lymphocyte counts (TLC), neutrophil‐to‐lymphocyte ratio (NLR) and platelet‐to‐lymphocyte ratio (PLR) prior to anticancer therapy were collected as inflammation biomarkers. The cutoff value was determined by Receiver operating characteristic (ROC). The Kaplan‐Meier method was utilized to analyze overall survival (OS). Cox proportional hazards regression was used to identify univariate and multivariate prognostic factors.ResultsUnivariate analysis showed that high NLR group (hazard ratio [HR] = 1.685; 95% CI: 1.001–2.838; P = 0.047) and high PLR group (hazard ratio [HR] = 1.716; 95% CI: 1.039–2.834; P = 0.033) were associated with poor OS, and TLC was not correlated with OS. On multivariate analysis, high PLR (hazard ratio [HR] = 1.751; 95% CI: 1.042–2.945; P = 0.035) was an independent prognostic factor of unfavorable OS.ConclusionsPretreatment PLR and NLR are correlated with OS. These biomarkers are easily accessible, cost effective, and can serve as a marker to identify high‐risk patients for further designing personalized treatment and predicting treatment outcomes.