bluuebunny/crossref_metadata_2025_split huggingface dataset:
Characterization of structure and air permeability of aromatherapic terry textile
Authors: Petrulyte Salvinija , Vankeviciute Deimante , Petrulis Donatas 
Published: March 2016

Purpose
– The purpose of this paper is to investigate the physical properties of smart aromatherapic ramie/cotton terry fabrics containing microcapsules (MC) with essential Eucalyptus oil.

Design/methodology/approach
– Terry fabrics are manufactured by changing the weft density. The air permeability is determined for grey and microencapsulated textile. The factorial designs are made. For informative experiment the linear type of regression is analysed. Development of physical properties of microencapsulated terry fabrics is discussed.

Findings
– The air permeability of aromatherapic terry fabrics is determined. All statistical analysis is performed. Appropriate conclusions about the influence of fabric’s structure and microencapsulating process on terry fabric quality are made.

Originality/value
– To date there are no investigations concerning terry textiles with fragrance MC. This study developed analysis and empiric mathematical equations suitable for evaluating and designing terry fabrics with the air permeability required. Assessment of the influence of fabric’s weft density and binder concentration for the air permeability of terry textile is proposed.
Construction of level of details in garment image skeleton
Authors: Wang Bei , Li Jituo , Zeng Jiping , Chen Guang , Lu Guodong 
Published: March 2016

Purpose
– Skeleton plays an important role in representing the essential feature of garment in image. General skeleton extraction methods often yield many short skeletal branches. Though short branches reflect the geometric details of the garment, they are obstacles in extracting the essential features. The purpose of this paper is to provide an approach to hierarchically remove them to reveal the level of details (LOD) of the skeleton, thus both the essential skeleton and the geometric skeletal branches can be definitely extracted and separated.

Design/methodology/approach
– First, the initial garment image skeleton is extracted and smoothed. Then, the hierarchically removing mechanism is established on scoring the importance of each skeletal branch by an altered PageRank method and computing the symmetry among skeletal branches.

Findings
– Experimental examples show that this method can extract and separate garment essential skeleton as well as geometric skeletal branches hierarchically. Garments in same class have a similar essential skeleton with detailed differences, so this approach can be potentially applied in garment recognition and style specification.

Originality/value
– Traditionally, there is almost no work attempts to build LOD in skeleton of planar shapes. This paper provide an automatic device for building LOD skeleton for garment image. In another word, hierarchic skeletons with details in different prominence level are gradually established. And pairs of symmetric skeletal parts are found by taking advantage of symmetry characteristic of garment. This method is efficient in garment image skeleton extraction.
Spectroscopy quantitative analysis cotton content of blend fabrics
Authors: Sun Xudong , Zhou Mingxing , Sun Yize 
Published: March 2016

Purpose
– The purpose of this paper is to develop near infrared (NIR) techniques coupled with multivariate calibration methods to rapid measure cotton content in blend fabrics.

Design/methodology/approach
– In total, 124 and 41 samples were used to calibrate models and assess the performance of the models, respectively. Multivariate calibration methods of partial least square (PLS), extreme learning machine (ELM) and least square support vector machine (LS-SVM) were employed to develop the models. Through comparing the performance of PLS, ELM and LS-SVM models with new samples, the optimal model of cotton content was obtained with LS-SVM model. The correlation coefficient of prediction (r

p
) and root mean square errors of prediction were 0.98 and 4.50 percent, respectively.

Findings
– The results suggest that NIR technique combining with LS-SVM method has significant potential to quantitatively analyze cotton content in blend fabrics.

Originality/value
– It may have commercial and regulatory potential to avoid time consuming work, costly and laborious chemical analysis for cotton content in blend fabrics.
Innovative application of LSS in aircraft maintenance environment
Authors: Karunakaran Sreedhar 
Published: March 2016

Purpose
– The purpose of this paper is to eliminate the wastes and inefficient procedures in the maintenance organization of aircraft so as to reduce its downtime and increase mission availability.

Design/methodology/approach
– Customized lean Six Sigma (LSS) was applied at the task level and servicing cycle level to reduce the task content, cycle length and resources in servicing. The loading of the servicing facility was simulated through a simulation program developed from a statistical analysis of historical data for validating/simulating/determining optimum loading of servicing facility with refined tasks, reduced cycle length and resources. In simulation, the optimum combination of manpower, resources and infrastructure at the facility level was determined through sensitive analysis and design of experiments (DoE).

Findings
– Optimization at the task level and its re-organization at the servicing cycle level reduced the cycle length by 55-68 per cent and manpower resources by 26 per cent. This further reduced facility-level manpower by 25 to 40 per cent, capacity requirements by more than 33 per cent and annual aircraft downtime by 78 per cent. The approach reduced the average number of aircraft undergoing servicing at each airbase at any time from 2.35 to just 0.76 and increased the mission availability to 20 per cent.

Originality/value
– The hallmark of the paper has been the design of LSS approach from structured historical data and its validation through innovative simulation. The multi-pronged bottom-up approach practically bundles all wastes resident in the maintenance organization. The paper provides cursory approach to lean practitioners in the elimination of wastes in the maintenance of capital assets like aircraft.
Development of a methodology to assist manufacturing SMEs in the selection of appropriate lean tools
Authors: Alaskari Osama , Ahmad Mohammad Munir , Pinedo-Cuenca Ruben 
Published: March 2016

Purpose
– The purpose of this paper is to develop a methodology that can help small and medium enterprises (SMEs), in the manufacturing sector, to select an appropriate lean tool for the company which will maximum benefits from adopting the tool.

Design/methodology/approach
– This study focuses on the selection of an appropriate lean tool for manufacturing SMEs. The methodology contains a quantitative approach that can assist SMEs in identifying the appropriate lean tool. A literature review, collation of experts’ opinions via a questionnaire and a case study (to provide a guideline as to how the developed methodology may work) are presented in this research.

Findings
– The findings revealed that the proposed methodology was effective in identifying the appropriate lean tools for companies, according to the key performance indicators in the manufacturing SME sector.

Practical implications
– The developed methodology can be used by manufacturing SMEs as a decision support system to enable the representatives of the company to make an informed decision regarding the selection of the most appropriate lean tool (i.e. that will address the most important issue that the company is experiencing). The strength of using this methodology is that appropriate lean tool can be ascertained relatively easily and inexpensively. There is the prospect of this methodology being applicable to most types of SMEs.

Originality/value
– This methodology has proven to be useful for recommending the application of lean tools in a company’s attempt to become lean, bridging the gap identified in the literature review.
Study of grease lubricated journal bearing with partial surface texture
Authors: Yu Rufei , Li Pei , Chen Wei 
Published: March 2016

Purpose
– This paper aims to study the impact of surface texture on grease-lubricated journal bearing, load-carrying capacity, friction and friction coefficient.

Design/methodology/approach
– The paper opted for a basic application research using the commercial CFD software FLUENT 14.0.

Findings
– The load-carrying capacity can be enhanced if the surface texture is introduced from a suitable position. The textural shape has a more significant effect on the friction and load-carrying capacity than the friction coefficient. The rheological parameters of grease affect the load-carrying capacity in the same way, i.e. the load increases with the increase in the rheological parameters. With the decrease in the value of cavitation pressure, the cavitation area reduces but the dynamic pressure area gets enlarged.

Research limitations/implications
– Because of the chosen research method, the research results may lack the analysis of experiments.

Practical implications
– The research results can be applied to the domain in the high-speed spindle and lubricated multibody system.

Originality/value
– The investigation on the performances of grease-lubricated journal bearing with surface texture would be significant.
Tool wear characteristics of cutting and extrusion processing technology based on the edge-chipping effect
Authors: Tian Xinli , Wang Long , Wang Wanglong , Li Yongdong , Ji Kaiwen 
Published: March 2016

Purpose
– The cutting and extruding processing technology for ceramics based on the edge-chipping effect is a new contact removal machining method for hard, brittle materials such as engineering ceramics. This paper aims to provide an important reference to understand the tool wear mechanism and the wear law of this new processing technology.

Design/methodology/approach
– The real-time temperature monitoring and the observation of micro-morphology are used to analyse the wear characteristics of the tool face. In addition, the research focuses on the influence of three processing parameters (axial feed rate, thickness of flange and depth of groove) on characteristics including tool wear.

Findings
– The temperature variation shows that the new processing technology improves the tool temperatures condition. The tool is worn mainly by mechanical friction including abrasive wear, and the flank face also suffers the sustained scratching of residual materials on the rough machining surface. With increased feed rate, the wear of the rear face of the major flank initially decreased and then increased. As the depth of the retained flange increases, the wear became worse. The wear initially decreased and then increased with increasing depth of groove.

Research limitations/implications
– Study on the new processing technology is still in its early stages. Therefore, researchers are encouraged to test the proposed propositions further.

Practical implications
– The machining process itself destroys materials, albeit a controllable manner: based on this principle, the authors proposed a new machining technology based on cracks driven by edge chipping. In this way, the surface of such ceramics is removed. Therefore, the research provides a new method for reducing processing costs and promoting the extensive application of engineering ceramic materials.

Originality/value
– The cutting and extruding processing technology based on cracks driven by edge-chipping effect makes full use of the stress concentration effect caused by prefabricated defects, and the edge-chipping effect which occurs during machining-induced crack propagation. The wear mechanism and law of its tool is unique than other machining ways. This paper provides an important reference to understand the tool wear mechanism and the machining mechanism of this new processing technology. With the application of this study, the ceramics could be removed with less energy consumption and the tools with the hardness of lower than its own one. Therefore, it could not only reduce the processing costs but also promote the extensive applications of engineering ceramic materials.
Transient elastohydrodynamic lubrication analysis of spur gears running-in considering effects of solid particles and surface roughness
Authors: Huang Xingbao , Wang Youqiang 
Published: March 2016

Purpose
– This paper aims to investigate the mechanism of spur gears running-in and to solve the lubrication problems of teeth running-in.

Design/methodology/approach
– The elastohydrodynamic lubrication (EHL) model considering solid particles was established by applying multi-grid and multiple-grid integration methods to the numerical solution.

Findings
– In the region where debris settle, transient pressure increases sharply, and a noticeable increase in the running-in load causes a remarkable increase in both the centre and maximum pressures and a slight increase in the minimum film thickness. Roughness wavelength makes a considerable difference to the minimum film thickness at double-to-single tooth transient. A considerable increase in rotation velocity can cause a remarkable reduction in both the centre and maximum pressures but an amazing increase in the minimum film thickness. The effects of roughness amplitude on the maximum pressure are considerably distinct.

Research limitations/implications
– Research on EHL of spur gears in the running-in process considering solid particles, surface roughness and time-variant effect is meaningful to practical gears running-in. Thermal effect can be included in the next study.

Practical implications
– The analysis results can be applied to predict and improve lubrication performance of the meshing teeth.

Social implications
– The aim is to reduce gears’ manufacture and running-in costs and improve economic performance.

Originality/value
– The EHL model that considers solid particles was established. The Reynolds equation was deduced taking the effects of solid particles into account. The EHL of spur gears running-in was investigated considering the time-variant effect, surface roughness, running-in load and rotation speed.
Friction and wear properties of friction materials containing nano/micro-sized SiO2 particles
Authors: Sugozu Kezban Banu , Daghan Behcet , Akdemir Ahmet , Ataberk Necati 
Published: March 2016

Purpose
– Among the components used for a car brake lining, the chemical and structural properties of the abrasives, jointly with the morphology and size of the particles influence the friction parameters and stability of the composite. This paper aims to investigate the effect of nano SiO2 particles in brake pads on friction and wear properties.

Design/methodology/approach
– In this paper, the effects of SiO2 (Silica) particles of varying size on the friction-wear properties of polymeric friction composites are investigated. Four friction composites were prepared containing (5, 10 Wt.%) micro silica (MS) particles and (5, 10 Wt.%) nano silica (NS) particles. The samples were produced by a conventional procedure for a dry formulation following dry-mixing, pre-forming and hot pressing. Friction and wear characteristics of the specimens against to a disk made of cast iron were studied. Friction coefficient, specific wear rate and hardness of specimens were obtained. Detailed examinations on the worn surface were analyzed using a scanning electron microscope.

Findings
– The results of test showed that the inclusion of nano silicon carbide (SiC) powder improved the wear performance significantly. Friction coefficient (μ) of NS samples was higher than the MS samples. Micro-SiC showed poor performance and μ. High wear performance was exhibited in materials containing 5 Wt.% NS and 10 Wt.% NS.

Originality/value
– This paper emphasizes the importance of nano-composites in the automotive industry and helps to industrial firms and academicians working on wear of materials.
Mass valuations
Authors: Grover Richard 
Published: March 2016

Purpose– The purpose of this paper is to review the issues involved in the implementation of mass valuation systems and the conditions needed for doing so.Design/methodology/approach– The method makes use of case studies of and fieldwork in countries that have either recently introduced mass valuations, brought about major changes in their systems or have been working towards introducing mass valuations.Findings– Mass valuation depends upon a degree of development and transparency in property markets and an institutional structure capable of collecting and maintaining up-to-date price data and attributes of properties. Countries introducing mass valuation may need to undertake work on improving the institutional basis for this as a pre-condition for successful implementation of mass valuation.Practical implications– Although much of the literature is concerned with how to improve the statistical modelling of market prices, there are significant issues concerned with the type and quality of the data used in mass valuation models and the requirements for successful use of mass valuations.Originality/value– Much of the literature on mass valuation takes the form of the development of statistical models of value. There has been much less attention given to the issues involved in the implementation of mass valuation.
Differences in underpricing of A-REIT IPOs and Australian property company IPOs
Authors: Dimovski Bill 
Published: March 2016

Purpose– A variety of papers have analyzed the underpricing of REIT IPOs or property company IPOs. The purpose of this paper is to compare the two sectors and examines differences in the underpricing of the two types of IPOs.Design/methodology/approach– An OLS regression is used to identify factors influencing the underpricing of A-REIT and property company IPOs from 1994 until 2014.Findings– This study finds that A-REIT IPOs have a significantly lower underpricing on average than Australian property company IPOs. The time taken to list appears to influence the underpricing of both A-REIT IPOs and property company IPOs, in that issues that are filled more quickly have higher underpricing but with the magnitude of the impact being less for A-REITs. The sentiment toward the stock market also appears to impact on the underpricing of A-REIT and property company IPOs again with the magnitude of the impact being less for A-REITs.Practical implications– The paper provides information to new A-REIT and property company issuers, underwriters and investors.Originality/value– The study is the first to compare and examine the differences in the underpricing of both REITs and property companies in the one country over the same time period.
Determinants of foreign direct real estate investment in selected MENA countries
Authors: Salem Mohamed , Baum Andrew 
Published: March 2016

Purpose
– The purpose of this paper is to identify the main determinants of foreign direct real estate investments (foreign direct investment (FDI)) in selected Middle Eastern and North African (MENA) countries.

Design/methodology/approach
– The empirical work of this study is an econometric analysis of FDI in the commercial real estate sector for eight MENA markets, namely Algeria, Egypt, Morocco, Qatar, Saudi Arabia, Turkey, Tunisia and the UAE during the period 2003-2009. The econometric analysis is carried out using the pooled Tobit model technique for panel data.

Findings
– The paper finds that both country-specific factors and real estate sector-specific variables consistently support hypotheses explaining commercial real estate-related FDI, and find evidence that political stability explains why some selected MENA countries attract more real estate investments than other MENA countries.

Practical implications
– The findings should be seriously considered in any policy making effort on the part of governments in the region.

Originality/value
– The authors contribute to the existing literature in many ways. First, the study aims to develop econometric models, using both conventional and unique variables, to be generalised and applied to any developed or emerging market. The study applies relevant techniques in estimating the models, including the pooled Tobit model. Second, the research studies eight selected MENA real estate markets from 2003 to 2009, a timeframe and geography not examined in previous published empirical work on commercial real estate investments. Lastly, and for the first time in real estate literature, the study applies the location dimension of Dunning’s OLI paradigm as a theoretical explanation for the behaviour of foreign investors in commercial real estate towards the selected MENA markets.
Understanding Consumer Perceptions and Awareness of Hospital‐Based Maternity Care Quality Measures
Authors: Maurer Maureen , Firminger Kirsten , Dardess Pam , Ikeler Kourtney , Sofaer Shoshanna , Carman Kristin L. 
Published: March 2016

ObjectiveTo explore factors that may influence use of comparative public reports for hospital maternity care.Data sourcesFour focus groups conducted in 2013 with 41 women and preintervention survey data collected in 2014 to 2015 from 245 pregnant women in North Carolina.Study designAs part of a larger randomized controlled trial, we conducted qualitative formative research to develop an intervention that will be evaluated through pre‐ and postintervention surveys.Data extraction methodsAnalysis of focus group transcripts examined participants' perceptions of high‐quality maternity care and the importance of different quality measures. Quantitative analysis included descriptive results of the preintervention survey and subgroup analyses to examine the impact of race, education, and being a first‐time mom on outcomes.Principal findingsWhen describing high‐quality maternity care, participants focused on interactions with providers, including respect for preferences and communication. The importance of quality measures was influenced by the extent to which they focused on babies' health, were perceived as the hospital's responsibility, and were perceived as representing “standard care.” At baseline, 28 percent of survey respondents had used quality information to choose a hospital. Survey respondents were more aware of some quality measures (e.g., breastfeeding support) than others (e.g., episiotomy rates).ConclusionsPublic reporting efforts could help increase relevance of maternity care quality measures by creating measures that reflect women's concerns, clearly explaining the hospital's role in supporting quality care, and showing how available quality measures can inform decisions about childbirth.