bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Modified Pre-Auricular Approach in the Treatment of Orbital Zygomatic Maxillary Complex Fractures
Authors: Tang Weiwei , Zhu Huimin , Li Zhengkang , Deng Yuan 
Published: August 2018

Objective:
This study aimed to evaluate the safety of a modified pre-aricular approach in the treatment of orbital zygomatic maxillary complex fractures.

Methods:
This was a retrospective study of clinical data from 108 adults who were diagnosed with orbital zygomatic maxillary complex fractures and undergo open reduction and internal fixation through a modified pre-auricular approach. Exophthalmometry and limitation of extraocular muscle movement were determined using a Hertel exophthalmometer or synoptophore examination respectively. Primary complications were recorded, and postoperative facial nerve injury was tested by electrophysiologic analysis.

Results:
All patients received satisfied functional and cosmetic results at least 6 moths postoperatively. There were 2 cases (1.85%) involving complete or incomplete facial nerve injury confirmed by electrophysiologic analysis. The incidence of other postoperative complications including a hematoma rate of 1.85% patients and permanent hypesthesia or paresthesia in 2.78% of patients, and no cases of clinically significant temporal hollowing, alopecia, infection, or unacceptable scars encountered during a mean follow-up period of 2 years.

Conclusion:
A modified pre-auricular approach with dissection deep to the temporalis fascia offers a safe and reliable surgical technique for accessing the malar arch in orbital zygomatic maxillary complex fractures.
Part I: Minimum Quality Threshold in Preclinical Sepsis Studies (MQTiPSS) for Study Design and Humane Modeling Endpoints
Authors: Zingarelli Basilia , Coopersmith Craig M. , Drechsler Susanne , Efron Philip , Marshall John C. , Moldawer Lyle , Wiersinga W. Joost , Xiao Xianzhong , Osuchowski Marcin F. , Thiemermann Christoph 
Published: August 2018

ABSTRACTPreclinical animal studies are mandatory before new treatments can be tested in clinical trials. However, their use in developing new therapies for sepsis has been controversial because of limitations of the models and inconsistencies with the clinical conditions. In consideration of the revised definition for clinical sepsis and septic shock (Sepsis-3), a Wiggers-Bernard Conference was held in Vienna in May 2017 to propose standardized guidelines on preclinical sepsis modeling. The participants conducted a literature review of 260 most highly cited scientific articles on sepsis models published between 2003 and 2012. The review showed, for example, that mice were used in 79% and euthanasia criteria were defined in 9% of the studies. Part I of this report details the recommendations for study design and humane modeling endpoints that should be addressed in sepsis models. The first recommendation is that survival follow-up should reflect the clinical time course of the infectious agent used in the sepsis model. Furthermore, it is recommended that therapeutic interventions should be initiated after the septic insult replicating clinical care. To define an unbiased and reproducible association between a new treatment and outcome, a randomization and blinding of treatments as well as inclusion of all methodological details in scientific publications is essential. In all preclinical sepsis studies, the high standards of animal welfare must be implemented. Therefore, development and validation of specific criteria for monitoring pain and distress, and euthanasia of septic animals, as well as the use of analgesics are recommended. A set of four considerations is also proposed to enhance translation potential of sepsis models. Relevant biological variables and comorbidities should be included in the study design and sepsis modeling should be extended to mammalian species other than rodents. In addition, the need for source control (in case of a defined infection focus) should be considered. These recommendations and considerations are proposed as “best practices” for animal models of sepsis that should be implemented.
Birth in High Infant Mortality States and Dementia Risk in a Cohort of Elderly African American and White Health Care Members
Authors: Gilsanz Paola , Mayeda Elizabeth Rose , Glymour M.Maria , Quesenberry Charles P. , Mungas Dan , DeCarli Charles S. , Whitmer Rachel A. 
Published: August 2018

Importance:
Birth in areas with high infant mortality rates (IMRs) has been linked to worse long-term health outcomes, yet it is completely unknown if it impacts dementia risk.

Methods:
In total 6268 health care members were followed for dementia diagnosis from 1996 to 2015. Birth state IMRs from 1928 were ranked into quartile (worst IMRs quartile range, whites: 69 to 129 deaths/1000 live births, Non-whites: 129 to 277 deaths/1000 live births). Cox proportional hazard models estimated the dementia risk associated with birth state IMR quartile adjusting for demographics and lifecourse health indicators.

Results:
Compared with whites born outside of states in the worst IMR quartile, African Americans born in states in the worst IMR quartile had 92% increased dementia risk (HR=1.92; 95% CI: 1.42, 2.59), and African Americans born outside those states had 36% increased risk (HR=1.36; 95% CI: 1.20, 1.53). There was no association between birth state IMR and dementia risk among whites.

Conclusions:
Birth in states with the highest rates of infant mortality was associated with elevated dementia risk among African Americans but not whites. The large absolute difference in IMRs likely reflects harsher early childhood conditions experienced by African Americans. These findings suggest that childhood conditions may play a role in racial disparities in dementia rates.
Long-term monitoring of zinc corrosion behavior in typical hot and dry atmosphere environment in Turpan, China
Authors: Kang Chunhui , Kong Decheng , Yao JiZheng , Guo Chunyun , Wang Li , Xiao K. , Dong C.F. 
Published: August 2018

Purpose
This paper aims to investigate the corrosion behavior of zinc in a typical hot and dry atmosphere. It proposes the dynamic corrosion for different exposure periods. Results can provide the basic data and corrosion mechanism of zinc in such environment.

Design/methodology/approach
In this paper, the authors investigated the corrosion behavior of pure zinc exposed in the typical hot and dry environment in Turpan for one-four years, which has never been studied. Scanning electron microscopy, laser scanning confocal microscopy, electron probe micro-analyzer (EPMA), X-ray photoelectron spectroscopy (XPS) and X-ray diffraction (XRD) were conducted to measure the corrosion morphology and products of zinc. Finally, combining electrochemical impedance spectroscopy and scanning Kelvin probe techniques, the corrosion mechanism of zinc in Turpan was examined.

Findings
The thickness loss of the zinc followed an exponential law with respect to exposure time: D = 3.17 t0.61, and both of the rust layer resistance and the charge transfer resistance increased with exposure time. The corrosion products mainly comprised ZnO, Zn(OH)2, Zn5(CO3)2(OH)6, Zn4SO4(OH)6·5H2O and Zn12(SO4)3Cl3(OH)15·5H2O. The Kelvin potentials shifted toward the positive direction from −0.380 to −0.262 V (vs saturated calomel electrode [SCE]) when the exposure time extended from one to four years and the distribution of the corrosion products became more and more uniform.

Originality/value
The corrosion behavior of pure zinc in the typical hot and dry environment in Turpan has not been studied. The dynamic corrosion for different exposure periods was obtained. The corrosion products were systemically investigated via energy-dispersive X-ray spectroscopy, EPMA, XPS and XRD.
Effects of agricultural credit on wheat productivity of small farms in Sindh, Pakistan
Authors: Chandio Abbas Ali , Jiang Yuansheng , Wei Feng , Guangshun Xu 
Published: August 2018

PurposeThe purpose of this paper is to evaluate the impact of short-term loan (STL) vs long-term loan (LTL) on wheat productivity of small farms in Sindh, Pakistan.Design/methodology/approachThe econometric estimation is based on cross-sectional data collected in 2016 from 18 villages in three districts, i.e. Shikarpur, Sukkur and Shaheed Benazirabad, Sindh, Pakistan. The sample data set consist of 180 wheat farmers. The collected data were analyzed through different econometric techniques like Cobb–Douglas production function and Instrumental variables (two-stage least squares) approach.FindingsThis study reconfirmed that agricultural credit has a positive and highly significant effect on wheat productivity, while the short-term loan has a stronger effect on wheat productivity than the long-term loan. The reasons behind the phenomenon may be the significantly higher usage of agricultural inputs like seeds of improved variety and fertilizers which can be transformed into the wheat yield in the same year. However, the LTL users have significantly higher investments in land preparation, irrigation and plant protection, which may lead to higher wheat production in the coming years.Research limitations/implicationsIn the present study, only those wheat farmers were considered who obtained agricultural loans from formal financial institutions like Zarai Taraqiati Bank Limited and Khushhali Bank. However, in the rural areas of Sindh, Pakistan, a considerable proportion of small-scale farmers take credit from informal financial channels. Therefore future researchers should consider the informal credits as well.Originality/valueThis is the first paper to examine the effects of agricultural credit on wheat productivity of small farms in Sindh, Pakistan. This paper will be an important addition to the emerging literature regarding effects of credit studies.
Enhancing intention to stay among software professionals
Authors: Gupta Arti , Singh Vrijendra 
Published: August 2018

PurposeDespite the importance of employees’ perception of organizational justice and its impact on intention to stay, various loopholes have been identified that do not justify this relationship. The purpose of this paper is to posit a model, which postulates the effect of procedural and interactional justice on distributive justice, which further impact employees’ intention to stay. Subsequently, it also investigates the mediating role of employees’ affective commitment.Design/methodology/approachA questionnaire was prepared and a survey was conducted on 500 junior and middle-level software professionals. Structural equation modeling was employed to examine the proposed model.FindingsThe study concludes the positive effect of distributive, procedural and interactional justice on employees’ intention to stay. Moreover, the addition of affective commitment as a mediator, displayed an indirect influence of organizational justice on intention to stay.Research limitations/implicationsThis study proposes a model to boost organizational justice to encourage employees’ intention to stay in an organization. Furthermore, considering the role of organizational commitment in enhancing intention to stay would be fruitful to the stakeholders in the IT industry.Originality/valueNo study has been reported in the context of the role of organizational justice on intention to stay while testing the contribution of affective commitment as a mediator, within a single framework. This study elucidates the influence of distributive, procedural and interactional justice on employees’ intention to stay in IT organizations.
Phase-based analysis of key cost and schedule performance causes and preventive strategies
Authors: Habibi Mohammadreza , Kermanshachi Sharareh 
Published: August 2018

Purpose
It is estimated that more than half of the construction industry’s projects encounter significant cost overruns and major delays, resulting in the industry having a tarnished reputation. Therefore, it is crucial to identify key project cost and schedule performance factors. However, despite the attempts of numerous researchers, their results have been inconsistent. Most of the literature has focused solely on the construction phase budget and time overruns; the engineering/design and procurement phase costs and schedule performances have been rarely studied. The paper aims to discuss these issues.

Design/methodology/approach
The objective of this study was primarily to identify and prioritize engineering, procurement and construction key performance factors (KPFs) and to strategize ways to prevent performance delays and cost overruns. To achieve these objectives, more than 200 peer-reviewed journal papers, conference proceedings and other scholarly publications were studied and categorized based on industry type, physical location, data collection and analysis methods.

Findings
It was concluded that both the time required to complete engineering/construction phases and the cost of completing them can be significantly affected by design changes. The two main causes of delays and cost overruns in the procurement phase are construction material shortages and price fluctuations. Other factors affecting all phases of the project are poor economic condition, equipment and labor shortages, delays in owners’ timely decision making, poor communication between stakeholders, poor site management and supervision, clients’ financial issues and severe weather conditions. A list of phase-based strategies which address the issue of time/cost overruns is presented herein.

Originality/value
The findings of this study address the potential confusion of the industry’s practitioners related to the inconsistent list of potential KPFs and their preventive measurements, and pave the way for the construction research community to conduct future performance-related studies.
“Advocacy cheating”: teacher noncompliance in standardised literacy testing
Authors: Johnson Lauren 
Published: August 2018

PurposeThe purpose of this paper is to explore teachers’ noncompliance with secondary-level standardised literacy testing in Tasmania, Australia, particularly their motivations, behaviours and justifications. This paper challenges pervasive views regarding test noncompliance, suggesting a reframing as “advocacy cheating”: noncompliance for purposes of advocating for and supporting students.Design/methodology/approachThe research used a single case study design, with a simple thematic analysis of the qualitative data. The design enabled data to be collected during one iteration of the examined test regime, with depth of exploration into participants’ experiences and perspectives.FindingsFindings indicate that small number of participants were engaged in test rule noncompliance at all stages of the testing regime: before, during and following the tests. This paper presents the concept of “advocacy cheating”, illustrated in these data through the motivations presented by participants for their noncompliant actions and the forms of noncompliance used.Research limitations/implicationsThe small sample size and single site problematise drawing much broader comparisons. The age of the data means that current test processes and requirements have developed. Larger-scale studies might enable identification of ways in which this current regime has and might be improved.Practical implicationsThis study’s findings and its focus on the classroom and teacher experience of testing provide insights into a widely debated and publicly important phenomenon.Originality/valueThe concept of “advocacy cheating” provides a newer way of considering and interpreting the range of ways in which teachers implement standardised tests.
Extending the theory of planned behavior to understand consumers’ intentions to visit green hotels in the Chinese context
Authors: Wang Jing , Wang Shanyong , Wang Yu , Li Jun , Zhao Dingtao 
Published: August 2018

PurposeThis paper aims to explore the intention of consumers to visit green hotels in China through the theory of planned behavior (TPB) extended by adding perceived consumer effectiveness and environmental concern.Design/methodology/approachThe TPB model is used as the basic theoretical framework but is extended by adding two critical variables. Data is collected from 324 respondents by using a self-administered questionnaire survey and analyzed with the assistance of structural equation modeling.FindingsThe empirical results show that perceived consumer effectiveness and environmental concern have positive effects on the attitude and the intention of consumers to visit green hotels, and that perceived consumer effectiveness has the largest effect. However, in China, the impact of environmental concern on the intention of consumers to visit green hotels is relatively limited, and the subjective norm has a strong effect. In addition, this research verifies the usefulness of the extended TPB model in understanding the intention of consumers in green hotels industry in China. This is evidenced by a comparison of the initial TPB model with the extended TPB model where the explanatory power has improved from 65 to 68 per cent.Originality/valueThis research contributes to TPB theory by addressing certain gaps in the literature regarding the intention of consumers to visit green hotels in China. Furthermore, considering the limitations of the TPB model, two pro-social variables, namely, perceived consumer effectiveness and environmental concern, are incorporated into the TPB model to better understand the intention of consumers to visit green hotels. Also, this research addresses the gap that studies on the role of perceived consumer effectiveness are limited in the tourism and hospitality management literature. The results indicate that perceived consumer effectiveness has the largest influence on the intention of consumers to visit green hotels.
Determination of human thermal comfort due to moisture permeability of clothes
Authors: Ongwuttiwat Krittiya , Sudprasert Sudaporn , Leephakpreeda Thananchai 
Published: August 2018

Purpose
The purpose of this paper is to present the determination of human thermal comfort with wearing clothes, with different water vapor permeability. Currently, the predicted mean vote (PMV) equation is widely used to determine thermal sensation scales of human comfort. However, moisture permeability of clothes has been not taken in account where the heat is lost from a human body due to water vapor diffusion through clothes.

Design/methodology/approach
In this study, the heat loss is derived based on the real structure of textiles, causing water vapor pressure difference between air on skin and ambient air. The PMV equation is modified to differentiate a thermal sensation scale of comfort although patterns of clothes are the same. Interview tests are investigated with wearing clothes from three types of textiles: knitted polyester, coated nylon–spandex, and polyurethane, under various air conditions.

Findings
The moisture permeabilities of knitted polyester, coated nylon–spandex and polyurethane are 16.57×10−9 kg/m2 s•kPa, 9.15×10−9 kg/m2•s•kPa and 2.99×10−9 kg/m2•s•kPa, respectively. The interviews reveal that most people wearing knitted-polyester clothes have the greatest cold sensations under various air conditions since moisture permeability is the highest, compared to coated nylon–spandex, and polyurethane leather. Correspondingly, the predicted results of the modified PMV equation are close to the actual mean votes of interviewees with a coefficient of determination R2=0.83. On the other hand, the coefficient of determination from the predicted results of the conventional PMV equation is significantly lower than unity, with R2=0.42.

Practical implications
In practice, this quantitative determination on human thermal comfort gives some concrete recommendations on textile selection of clothes for acceptable satisfaction of thermal comfort under various surrounding conditions of usage.

Originality/value
The modified PMV equation effectively determines human comfort on a thermal sensation scale due to the moisture permeability of clothes. To make generic conclusion, experimental results of additional three textiles, such as plain weave/lining polyester, knitted spandex, and open structure polyester, are reported. They confirm that the modified PMV equation effectively determines human comfort on a thermal sensation scale due to the moisture permeability of clothes.
Operations flow effectiveness: a systems approach to measuring flow performance
Authors: Afy-Shararah Mohamed , Rich Nicholas 
Published: August 2018

PurposeEffective operations management systems (OMS) measurement remains a critical issue for theorists and practising managers (Neely, 2005; Bititciet al., 2012). Traditional labor efficiency measures sufficed when all that was made could be sold or when mass production systems filled warehouses with stock and the OMS had little relationship with “the consumer.” Modern manufacturing systems require a different form of flow optimization (beyond labor efficiency) measurement (Schmenner, 2015). The essential unit of measure for all OMS designs is the optimal use of time for process value adding and the flow of materials into and from the conversion process. Timely flow, therefore, satisfies the needs of multiple organizational stakeholders including cash flow (accounting), consumer reaction times (marketing) and the general steady state flow of materials (sales and supply chain). The purpose of this paper is to present the results of testing a new performance measure of operations flow effectiveness (OFE) with ten purposively selected cases.Design/methodology/approachThe paper is theory building using ten, purposively selected, longitudinal case studies drawn from the UK high-value manufacturing (HVM) sector using a pluralist methodology of interviews, observation and secondary data.FindingsThe OFE measure provides a holistic view of material flow through the input-process-output cycles of a firm. The measure highlights OMS design weaknesses and flow inhibitors that reduce cash flow using a time-based approach to measuring OMS performance. The study validates the OFE measure and has identified six key design elements that enable high flow performance.Originality/valueThe paper tests a new process-focused flow performance measure. The measure supports a holistic approach to the manufacturing enterprise and allows different OMS designs to be evaluated so that organizational learning may be enacted to support performance improvement.