bluuebunny/crossref_metadata_2025_split huggingface dataset:
Student and teacher perspectives on a multi-disciplinary collaborative pedagogy in architecture and construction
Authors: Leathem Thomas , Hillesheim Christina , Coley Aressa , McGregor Shane 
Published: January 2019

Purpose
The purpose of this paper is to evaluate a unique pedagogical approach intended to address a need of the architecture, engineering and construction (AEC) professions for graduates to work in cross-disciplinary collaborative teams. Addressing this industry need has been challenging for higher education programs in the past. The pedagogy evaluated in this study takes a unique approach to addressing the issue and the aim of the study is to capture the effectiveness of the approach.

Design/Methodology/Approach
This paper presents a qualitative research study evaluating perceptions of students and faculty participating in the cross-disciplinary course experience between architecture and construction. The study evaluated perceived vs received learning outcomes and perceived challenges of the cross-disciplinary course approach. Data were collected from open-ended interviews and observations of students and faculty participating in the course, as well as course artifacts.

Findings
Results of the study indicate alignment between perceived and received outcomes. Identified perceptions of challenges to the approach reflect many identified in previous studies. Areas for future study, and practice in collaborative education within the AEC disciplines are also suggested.

Research Limitations/Implications
This research used a qualitative approach to evaluate perspectives of six students and two teachers in a specific pedagogical approach at one university. Given the small sample size and delimitation of one-course approach, findings from this study are not generalizable to a broader population. In addition to providing valuable data for future quantitative studies on a larger population, the study also provides pedagogical options for other schools to consider implementing and studying. The findings support previous research suggestions that collaborative approaches done early and often for longer durations are needed to address collaborative learning challenges.

Originality/Value
The pedagogical approach evaluated in this study takes a unique approach to addressing a well-documented need in the AEC industry. Information included in this paper demonstrates an approach not yet documented in AEC higher education. Further, it provides a glimpse into the strengths, weaknesses, opportunities and challenges that contribute a body of knowledge for others in the discipline to build from. The findings suggest a more in-depth approach may help cross the negative student impressions developed in shorter in-frequent approaches, and begin to develop student understanding of the value and necessity of multi-disciplinary collaboration.
Structural equation modelling of the impact of environmental capabilities on competitiveness
Authors: Salem Milad Abdelnabi 
Published: January 2019

PurposeThe purpose of this paper is to investigate the influence of both environmental practices and corporate environmental performance on competitiveness. It determines the mediating effects of corporate environmental performance on the relationship between environmental practices and competitiveness.Design/methodology/approachThis study adopts a cross-sectional survey method. The data were collected from 155 industrial companies from Libya and analysed using structural equation modelling.FindingsThe results indicate that environmental performance partially mediates the relationship between environmental practices and competitiveness. The mediating effects occur between competitiveness and green conventional practices, organisational practices and stakeholders’ integration.Research limitations/implicationsThe study used a self-reported questionnaire completed by managers in Libyan industrial companies. As such, the survey data might be subject to social desirability. Additionally, the results of the study may be generalised only to a similar environment and stage of development.Practical implicationsThe results can help companies better understand how to improve their current resources base by building incremental capabilities, which, in turn, protect the surrounding environment and enhance their competitiveness.Originality/valueThis study is the first to have considered the issue of incremental capabilities in the environmental domain, which can contribute significantly to better understanding the role of incremental capabilities in improving the competitiveness of companies. Additionally, it provides empirical evidence on the state-of-art of environmental practices and their consequences in less-developed countries which are characterised by scarcity of research.
A systematic approach for maintenance performance measurement
Authors: Wijesinghe Dananjaya , Mallawarachchi Harshini 
Published: January 2019

Purpose
The purpose of this paper is to determine the maintenance performance indicators (MPIs) which are significant for maintenance decision making in the apparel industry through an accurate maintenance performance measurement.

Design/methodology/approach
A quantitative research approach was followed. A questionnaire survey was used to collect the data which were evaluated based on Mean Weighted Rating and Relative Importance Index.

Findings
In total, 15 significant MPIs were determined which can directly affect maintenance decision making. A systematic approach was finally developed by allocating weightages for each critical MPI.

Practical implications
These results can be used to assist the decision-making process and as a performance measurement platform for maintenance management of the apparel industry.

Originality/value
The significance of maintenance has not been recognized and the value created through such massive efforts has remained hidden. Therefore, the need of adopting a performance-based approach for maintenance management in apparel industry exists. This research was aimed to provide a systematic approach to make decisions on maintenance management in the apparel industry in Sri Lanka.
A case-based reasoning system for fault detection and isolation: a case study on complex gearboxes
Authors: Boral Soumava , Chaturvedi Sanjay Kumar , Naikan V.N.A. 
Published: January 2019

Purpose
Usually, the machinery in process plants is exposed to harsh and uncontrolled environmental conditions. Even after taking different types of preventive measures to detect and isolate the faults at the earliest possible opportunity becomes a complex decision-making process that often requires experts’ opinions and judicious decisions. The purpose of this paper is to propose a framework to detect, isolate and to suggest appropriate maintenance tasks for large-scale complex machinery (i.e. gearboxes of steel processing plant) in a simplified and structured manner by utilizing the prior fault histories available with the organization in conjunction with case-based reasoning (CBR) approach. It is also demonstrated that the proposed framework can easily be implemented by using today’s graphical user interface enabled tools such as Microsoft Visual Basic and similar.

Design/methodology/approach
CBR, an amalgamated domain of artificial intelligence and human cognitive process, has been applied to carry out the task of fault detection and isolation (FDI).

Findings
The equipment failure history and actions taken along with the pertinent health indicators are sufficient to detect and isolate the existing fault(s) and to suggest proper maintenance actions to minimize associated losses. The complex decision-making process of maintaining such equipment can exploit the principle of CBR and overcome the limitations of the techniques such as artificial neural networks and expert systems. The proposed CBR-based framework is able to provide inference with minimum or even with some missing information to take appropriate actions. This proposed framework would alleviate from the frequent requirement of expert’s interventions and in-depth knowledge of various analysis techniques expected to be known to process engineers.

Originality/value
The CBR approach has demonstrated its usefulness in many areas of practical applications. The authors perceive its application potentiality to FDI with suggested maintenance actions to alleviate an end-user from the frequent requirement of an expert for diagnosis or inference. The proposed framework can serve as a useful tool/aid to the process engineers to detect and isolate the fault of large-scale complex machinery with suggested actions in a simplified way.
A sequential TPM-based scheme for improving production effectiveness presented with a case study
Authors: Bataineh Omar , Al-Hawari Tarek , Alshraideh Hussam , Dalalah Dorid 
Published: January 2019

PurposeThe purpose of this paper is to improve production effectiveness of equipment by facilitating the implementation of the key principles of total productive maintenance (TPM).Design/methodology/approachA sequential TPM-based scheme consisting of 13 procedural steps is proposed. The steps cover the basic aspects of a generic improvement system, i.e. planning, implementation, checking, corrective action and control.FindingsThe proposed scheme was effective in increasing the overall equipment effectiveness by 62.6 percent over a nine-month period only. This was a direct reflection of improvements in equipment availability, efficiency and product quality. A positive feedback regarding the smooth implementation of the scheme was also received from the responsible maintenance staff.Research limitations/implicationsThe proposed scheme is intended mainly to the manufacturing industrial sector, which utilizes failure-prone equipment in running operations.Originality/valueThis study presents an original scheme that tries to avoid the many barriers of success frequently encountered during the implementation of TPM schemes, as reported in the literature. This scheme is unique in integrating between 5S and safety, health and environment initiatives, by capitalizing on the close relation between the two initiatives, and simplifying procedures for measuring how well the two initiatives are implemented in an organization in one score card. Different from previous studies, the scheme treats both “education and training” and 6S as a foundation to the core TPM principles.
Measuring life cycle costs for complex B2B products
Authors: Schlipf Matthias , Keller Carlos , Lutzenberger Fabian , Pfosser Stefan , Rathgeber Andreas 
Published: January 2019

PurposeThe purpose of this paper is to develop a new interdisciplinary methodology to estimate the life cycle cost (LCC) of complex business-to-business products in order to price different types of maintenance contracts and show the applicability of the method in a case study. LCC comprise of initial capital costs as well of operation costs including probabilistic costs (such as the costs of repairs and spare parts), which are directly linked to the maintenance characteristics of the product.Design/methodology/approachThe paper proposes an integrated and practical methodology that applies different approaches from different disciplines. Therefore, exponential distributions for failure rates in subsystems, World Bank logistics factors for logistics costs of spare part handling, as well implied credit default probabilities for the counterpart risk in full service leasing contracts are applied. In order to validate the applicability of the proposed methodology to practical problems, the tool is applied in three case studies.FindingsThe results of the case studies show that this methodology can be applied to analyze LCC structures of engines operating in various regions with regard to different types of engine maintenance contracts. The results also highlight the interplay of technical as well as financial risks.Originality/valueBecause the literature in maintenance engineering so far either proposes general frameworks to calculate LCC or concentrates on specific aspects of LCC, the paper contributes to the literature in presenting a new interdisciplinary methodology to estimate the LCC.
Potential effect of selective pressure with different β‐lactam molecules on the emergence of reduced susceptibility to β‐lactams in group B Streptococci
Authors: Koide Shota , Hayashi Wataru , Taniguchi Yui , Tanaka Hayato , Kimura Kouji , Nagano Yukiko , Arakawa Yoshichika , Nagano Noriyuki 
Published: January 2019

AbstractIn this study, the selective potential of group B Streptococcus isolates with reduced penicillin susceptibility (PRGBS) in a neonate‐hypervirulent sequence type (ST)17 lineage was investigated by in vitro exposure to β‐lactams. After 19 passages of stepwise penicillin exposure, PRGBS with a high penicillin minimum inhibitory concentration MIC (0.5 mg/L), greatly augmented ceftibuten MIC (>512 mg/L), and acquisition of G406D predicted to provide destabilizing effect (ΔΔG 0.099 kcal/mol) on PBP2X structure were identified. In early passages of stepwise cefotaxime exposure, PRGBS possessing G398E predicted to stabilize PBP2X (ΔΔG −0.038 kcal/mol) emerged with high MICs for cefotaxime (0.5 mg/L), ceftibuten (>512 mg/L) and penicillin (0.25 mg/L). Additionally, G398E + G329V + H438Y predicted to provide more stabilizing effect (ΔΔG −0.415 kcal/mol) were detected in mutants with higher MICs to cefotaxime (1 mg/L) and penicillin (0.5 mg/L). PRGBS mutants selected by penicillin and cefotaxime had a marked growth disadvantage compared with the parent strain. After two passages of stepwise ceftibuten exposure, the mutants exhibited increased MICs toward ceftibuten and acquisition of T555S predicted to provide stabilizing effect (ΔΔG −0.111 kcal/mol) in PBP 2X. In subsequent passages, gradual increases in ceftibuten MICs from 128 mg/L to 512 mg/L were found among selected mutants with accompanying stabilizing T555S+A354V (ΔΔG −0.257 kcal/mol) followed by stabilizing T555S + A354V + A536V (ΔΔG −0.322 kcal/mol), resulting in selection of a penicillin‐susceptible group B Streptococcus lineage with reduced ceftibuten susceptibility (CTBrPSGBS). Notably, growth ability of CTBrPSGBS mutants was comparable to that of the parent strain. These findings may predict future failure of treatment for neonatal invasive infections caused by the neonate‐hypervirulent PRGBS ST17 lineage.
Species–habitat networks: A tool to improve landscape management for conservation
Authors: Marini Lorenzo , Bartomeus Ignasi , Rader Romina , Lami Francesco 
Published: January 2019

Abstract

Land‐use change is reshaping terrestrial ecosystems world‐wide and is recognized as a key driver of biodiversity loss with negative consequences on ecosystem functioning. Understanding how species use resources across landscapes is essential for the design of effective management strategies.

Despite recent advances in network ecology, there is still a gap between theory and applied ecological science, and we lack the information to manage entire landscapes to maximize biodiversity conservation and ecosystem service delivery. While several pioneering approaches have tried to link ecological networks and conservation science, applied ecologists still struggle to incorporate these models into research due to their inherent complexity.

We propose the application of bipartite networks principles to create species–habitat networks. This approach explicitly links multiple species and habitat resources, provides tools to estimate the importance of particular species or specific habitat in a given landscape, and quantifies emerging properties of entire habitat networks. Most existing metrics used to study properties of bipartite ecological networks can easily be adapted to investigate species–habitat relationships. The tool use is relatively simple and does not require advanced computational expertise.

Synthesis and applications. One of the biggest challenges in applied ecology is managing multiple habitats for the effective conservation of multiple species. One key advantage of this proposed approach is that the scale of the derived ecological information could match the scale of landscape management interventions. The versatility, visualization power and ease of interpretation of these networks will enable application of the species–habitat network concept to a wide array of real‐world problems, such as multispecies conservation, habitat restoration, ecosystem services management or invasion ecology. In particular, species–habitat networks could be applied to identify optimal landscape compositions and configurations to design effective interventions at the landscape scale. This approach also enables the detection of emerging network properties that could also be used to test the effects of large‐scale drivers of global change upon ecosystem structure and stability.
Effect of a cluster randomised team training intervention on adverse perinatal and maternal outcomes: a stepped wedge study
Authors: Romijn A , Ravelli ACJ , de Bruijne MC , Twisk JWR , Wagner C , de Groot CJM , Teunissen PW 
Published: January 2019

ObjectiveTo study the effect of an intervention based on Crew Resource Management team training, including a tool for structured communication, on adverse perinatal and maternal outcomes.DesignStepped wedge.SettingThe Netherlands.Population or sampleRegistry data of 8123 women referred from primary care to a hospital during childbirth, at ≥ 32.0 weeks of singleton gestation and with no congenital abnormalities, in the period 2012–15.MethodsObstetric teams of five hospitals and their surrounding primary‐care midwifery practices participated in the intervention. In total, 49 team training sessions were organised for 465 care professionals (75.5% participated). Adverse perinatal and maternal outcomes before, during and after the intervention were analysed using multivariate logistic regression analyses.Main Outcome MeasuresAdverse Outcome Index (AOI‐5), a composite measure involving; intrapartum or neonatal death, admission to neonatal intensive care unit, Apgar < 7 at 5 minutes, postpartum haemorrhage and/or perineal tear.ResultsIn total, an AOI‐5 score was reported in 11.3% of the study population. No significant difference was found in the incidence of the AOI‐5 score after the intervention compared with before the intervention (OR 1.07: 95% CI 0.92–1.24).ConclusionsWe found no effect of the intervention on adverse perinatal and maternal outcomes for women who were referred during childbirth. Team training is appreciated in practice, but evidence on the long‐term impact is still limited. Upcoming studies should build on previous research and consider more sensitive outcome measures.Tweetable abstractA cluster randomised team training intervention showed no effect on adverse perinatal and maternal outcomes for women referred during childbirth.
Understanding the Large‐Scale Influence of Levees on Floodplain Connectivity Using a Hydrogeomorphic Approach
Authors: Scheel Kara , Morrison Ryan R. , Annis Antonio , Nardi Fernando 
Published: January 2019

AbstractThe widespread construction of levees has reduced river–floodplain connectivity and altered associated fluvial processes in many river systems. Despite the recognition that levees can alter floodplain connectivity, few studies have examined the role of levees in reducing floodplain areas at large watershed scales. This paper explores the application of a hydrogeomorphic floodplain inundation model in the Wabash Basin, located in the Midwestern United States, to assess changes in floodplain area in levee‐protected areas. We evaluate 10‐ and 30‐m topographic resolutions and spatially examine the influence of levees on floodplain area in relation to river network attributes. Generally, floodplains in levee‐protected areas were influenced by topographic resolution, stream order, and elevation details of levees found in topography datasets. We show, when compared to Federal Emergency Management Agency maps, our approach underpredicts floodplain area when using 10‐m resolution topography data but only slightly overpredicts when using 30‐m resolution data. After removing details of levees from topography data, we found changes in floodplain area varied spatially, but basin‐aggregate results changed little compared to topography datasets that contain levees, though larger floodplain areas were produced in some regions where levees were removed. This work contributes to a growing research emphasis on using hydrogeomorphic floodplain models to understand floodplain disconnectivity.
Governing alongside:
Authors: FENT ASHLEY 
Published: January 2019

ABSTRACTSince 2014, local and regional state administrators in Senegal have negotiated a controversial zircon and titanium sands mining venture in villages of the Casamance region. Positioning themselves “alongside” the population, they enacted a lateral spatiality of the state by organizing opportunities for dialogue, drawing on fictive kinship relations, and articulating a governmental approach of “accompaniment,” which focused on collaborating with local people. Yet residents of Niafarang and nearby villages wanted an idealized version of the state that would deliver benefits and protection from the top down, and they were frustrated by the Senegalese state's self‐interest. As the debate continued, administrators used vertical authority to secure local acceptance of the mining project. Lateral relations therefore both challenged and bolstered vertical state power over localities, illustrating the multiple, conflicting spatialities of state practice. [mining,development,state spatiality,expectations of the state,Casamance,Senegal]
Five‐year results of small incision lenticule extraction (SMILE) and femtosecond laser LASIK (FS‐LASIK) for myopia
Authors: Li Meiyan , Li Meng , Chen Yingjun , Miao Huamao , Yang Dong , Ni Katherine , Zhou Xingtao 
Published: January 2019

AbstractPurposeTo compare visual outcomes and aberration outcomes in small incision lenticule extraction (SMILE) versus femtosecond laser LASIK (FS‐LASIK).MethodsThis prospective, comparative, nonrandomized clinical study included 68 eyes of 37 patients receiving SMILE and 55 eyes of 30 patients receiving FS‐LASIK between December 2011 and January 2013 at the Fudan University Eye and ENT Hospital (Shanghai, People's Republic of China). Patients were followed up at 3, 6 months and 5 years after surgery. Main outcome measurements included uncorrected (UDVA) and corrected (CDVA) distance visual acuity, manifest refraction, central corneal thickness (CCT), total corneal refractive power (TCRP) and wavefront aberrations.ResultsAbout 98% (49/50) of treated eyes in the SMILE group and 95% (39/41) in the FS‐LASIK group had a postoperative logMAR UDVA of 0 or better. Spherical equivalent (SE) after 5 years was −0.01 ± 0.35 D in the SMILE group and −0.23 ± 0.41 D in the FS‐LASIK group. A regression of −0.02 ± 0.39 D in the SMILE group and −0.12 ± 0.32 D in the FS‐LASIK group was observed between 6 months and 5 years postoperative time‐points. TCRP increased by 0.39 ± 0.38 D in the SMILE group and 0.45 ± 0.49 D in the FS‐LASIK group between 6‐month and 5‐year time‐points. However, no statistically significant difference was found between the SMILE and FS‐LASIK groups in terms of ∆SE, ∆CCT and ∆TCRP between 6 months and 5 years postoperative time‐points.ConclusionMyopic regression was observed in terms of TCRP but not in subjective refraction. No statistically significant difference in stability was found between SMILE and FS‐LASIK.