bluuebunny/crossref_metadata_2025_split huggingface dataset:
D.C. etching anode aluminum foil to form branch tunnels by electroless depositing Cu
Authors: Liu Zhenqi , Wang Jie , Chen Jianhan , Liu Xiya , Yin Yibin , Ban Chaolei 
Published: August 2019

Purpose
The purpose of this study is to explore the mechanism of branch pits and tunnels formation and increase the specific surface area and capacitance of anode Al foil for high voltage electrolytic capacitor by D.C. etching in acidic solution and neutral.

Design/methodology/approach
Al foil was first D.C. etched in HCl-H2SO4 mixed acidic solution to form main tunnels perpendicular to the Al surface, and then D.C. etched in neutral NaCl solution including 0.5 per cent C6H8O7 and Cu(NO3)2 with different concentration to form branch tunnels normal to Al surface. Between two etching, Cu nuclei were electroless deposited on the interior surface of main tunnels by natural occluded corrosion cell effect to form micro Cu-Al galvanic local cells. The effects of electroless deposited Cu nuclei on cross-section etching morphologies and electrochemical behavior of Al foil was investigated with SEM, polarization curve and electrochemical impedance spectroscopy (EIS).

Findings
The results show that sub branch tunnels can form along the main tunnels owing to the formation of Cu-Al micro-batteries, in which Cu is cathode and Al is anode. With increase in Cu(NO3)2 concentration, more Cu nuclei can be electroless deposited and serve as the favorable sites for branch tunnel initiation along the whole length of main tunnels, leading to enhancement in specific capacitance of anode Al foil.

Originality/value
Cu nuclei were electroless deposited on the interior surface of main tunnels by natural occluded corrosion cell effect to form micro Cu-Al galvanic local cells, which can serve as the favorable sites for branch tunnel initiation along the main tunnels to enhance specific capacitance of anode Al foil.
Multi-agent simulation for managing design changes in prefabricated construction projects
Authors: Du Juan , Jing Hengqing , Castro-Lacouture Daniel , Sugumaran Vijayan 
Published: August 2019

Purpose
The purpose of this paper is to develop a multi-agent-based model for quantitatively measuring how the design change management strategies improve project performance.

Design/methodology/approach
Based on questionnaires and interviews, this paper investigates the coordination mechanism of risks due to design changes in prefabricated construction (PC) projects. Combined with all the variables related with design change risks, a multi-agent-based simulation model is proposed to evaluate the design change management effect.

Findings
The coordination mechanism between design change factors, design change events, risk consequence and management strategy in PC projects is described and then the simulation-based design change management mechanism in PC projects is used to assess the effect of management strategies under dynamic scenarios.

Originality/value
PC projects have rapidly increased in recent years due to the advantages of fast construction, high quality and labor savings. Different from traditional on-site construction, the impact and risk from design changes are likely to be greater due to the prefabricated project being multi-stage, highly interactive and complex. The simulations presented in this paper make it possible to test different design change management strategies in order to study their effectiveness and support managerial decision making.
Improving education delivery through community – school partnership
Authors: Essuman Ato 
Published: August 2019

PurposeOne of the most debated policy discourses that have engaged the attention of countries as well as the donor community is the varied pathways in improving the delivery of education through decentralisation and community participation. A key policy expectation is that through the active participation of the community, education quality and related outcomes would improve. The purpose of this paper is to explore the policy and practices of community and school partnership and the extent to which the “social contract” between communities and schools has been executed. It also explores the challenges they face as they engage in the governance of schools and how such engagement shapes education delivery.Design/methodology/approachThis research was guided by a semi-structured interview schedule focused on two selected basic (i.e. primary and junior secondary) schools and their communities within a Municipality in a Coastal Region of Ghana as a single case for the study. Data were read thoroughly to identify common themes which included the multiple perspectives of participation, teacher management, conflicts and tensions, the role of community elites in school-community partnerships, capacity constraints, parental roles, and issues about the “social contract” among others.FindingsDrawing on case study data, the paper argues that although decentralisation policies aim at strengthening local democracy and participation, they do not fully consider the conditions under which this might be achieved. Furthermore, in community–school partnership discourses, the impression has often times been given that the policy of education decentralisation is about what communities could do to support schools located within them. The fact of it being a two-way relationship is often not stressed, thus, diminishing the role the school plays or could play in the life of communities.Originality/valueThe study reinforced the point that the relationship was a two-way one based on reciprocity, and that it was the fulfilment of the expectations of both parties that shaped the relationship between them and determined the nature of communities’ participation in the governance of its schools. Anything to the contrary thus weakens the relationship.
An Ontology-based Bayesian network modelling for supply chain risk propagation
Authors: Cao Shoufeng , Bryceson Kim , Hine Damian 
Published: August 2019

Purpose
Supply chain risks (SCRs) do not work in isolation and have impact both on each member of a chain and the performance of the entire supply chain. The purpose of this paper is to quantitatively assess the impact of dynamic risk propagation within and between integrated firms in global fresh produce supply chains.

Design/methodology/approach
A risk propagation ontology-based Bayesian network (BN) model was developed to measure dynamic SCR propagation. The proposed model was applied to a two-tier Australia-China table grape supply chain (ACTGSC) featured with an upstream Australian integrated grower and exporter and a downstream Chinese integrated importer and online retailer.

Findings
An ontology-based BN can be generated to accurately represent the risk domain of interest using the knowledge and inference capabilities inherent in a risk propagation ontology. In addition, the analyses revealed that supply discontinuity, product inconsistency and/or delivery delay originating in the upstream firm can propagate to increase the downstream firm’s customer value risk and business performance risk.

Research limitations/implications
The work was conducted in an Australian-China table grape supply chain, so results are only product chain-specific in nature. Additionally, only two state values were considered for all nodes in the model, and finally, while the proposed methodology does provide a large-scale risk network map, it may not be appropriate for a large supply chain network as it only follows the process flow of a single supply chain.

Practical implications
This study supports the backward-looking traceability of risk root causes through the ACTGSC and the forward-looking prediction of risk propagation to key risk performance measures.

Social implications
The methodology used in this paper provides an evidence-based decision-making capability as part of a system-wide risk management approach and fosters collaborative SCR management, which can yield numerous societal benefits.

Originality/value
The proposed methodology addresses the challenges in using a knowledge-based approach to develop a BN model, particularly with a large-scale model and integrates risk and performance for a holistic risk propagation assessment. The combination of modelling approaches to address the issue is unique.
Production data analysis system using novel process capability indices-based circular economy
Authors: Lin Kuo-Ping , Yu Chun-Min , Chen Kuen-Suan 
Published: August 2019

PurposeThe purpose of this paper is to establish mechanisms for process improvement so that production efficiency and product quality can be expected, and create a sustainable development in terms of circular economy.Design/methodology/approachThe authors obtain a critical value from statistical hypothesis testing, and thereby construct a process capability indices chart, which both lowers the chance of quality level misjudgment caused by sampling error and provides reference for the processes improvement in poor quality levels. The authors used the bottom bracket of bicycles as an example to demonstrate the model and methods proposed in this study.FindingsThis approach enables us to plot multiple quality characteristics, despite varying attributes and specifications, onto the same process capability analysis chart. And it therefore increases accuracy and precision to reduce rework and scrap rates (reduce), increase product availability, reduce maintenance frequency and increase reuse (reuse), increase the recycle rates of components (recycle) and lengthen service life, which will delay recovery time (recovery).Originality/valueParts manufacturers in the industry chain can upload their production data to the cloud platform. The quality control center of the bicycle manufacturer can utilized the production data analysis model to identify critical-to-quality characteristics. The platform also offers reference for improvement and adds the improvement achievements and experience to its knowledge management to provide the entire industry chain. Feedback is also given to the R&D department of the bicycle manufacturer as reference for more robust product designs, more reasonable tolerance designs, and selection criteria for better parts suppliers, thereby forming an intelligent manufacturing loop system.
Let’s talk about adaptation! How individuals discuss adaptation during evidence-based practice implementation
Authors: Lengnick-Hall Rebecca , Fenwick Karissa , Hurlburt Michael S. , Green Amy , Askew Rachel A. , Aarons Gregory A. 
Published: August 2019

Purpose
Researchers suggest that adaptation should be a planned process, with practitioners actively consulting with program developers or academic partners, but few studies have examined how adaptation unfolds during evidence-based practice (EBP) implementation. The purpose of this paper is to describe real-world adaptation discussions and the conditions under which they occurred during the implementation of a new practice across multiple county child welfare systems.

Design/methodology/approach
This study qualitatively examines 127 meeting notes to understand how implementers and researchers talk about adaptation during the implementation of SafeCare, an EBP aimed at reducing child maltreatment and neglect.

Findings
Several types of adaptation discussions emerged. First, because it appeared difficult to get staff to talk about adaptation in group settings, meeting participants discussed factors that hindered adaptation conversations. Next, they discussed types of adaptations that they made or would like to make. Finally, they discussed adaptation as a normal part of SafeCare implementation.

Research limitations/implications
Limitations include data collection by a single research team member and focus on a particular EBP. However, this study provides new insight into how stakeholders naturally discuss adaptation needs, ideas and concerns.

Practical implications
Understanding adaptation discussions can help managers engage frontline staff who are using newly implemented EBPs, identify adaptation needs and solutions, and proactively support individuals who are balancing adaptation and fidelity during implementation.

Originality/value
This study’s unique data captured in vivo interactions that occurred at various time points during the implementation of an EBP rather than drawing upon data collected from more scripted and cross-sectional formats. Multiple child welfare and implementation stakeholders and types of interactions were examined.
Validation of a digital intelligence quotient questionnaire for employee of small and medium-sized Thai enterprises using exploratory and confirmatory factor analysis
Authors: Na-Nan Khahan , Roopleam Theerawat , Wongsuwan Natthaya 
Published: August 2019

Purpose
The purpose of this paper is to develop a digital intelligence quotient (DIQ) scale questionnaire that encompasses the digital identity, digital use, digital safety, digital security, digital emotional intelligence, digital communication, digital literacy and digital rights.

Design/methodology/approach
DIQ research was conducted in two phases to develop an assessment scale. First, 33 questions were developed based on previous DIQ concepts and theories. These questions were then validated using exploratory factor analysis into eight dimensions as digital identity, digital use, digital safety, digital security, digital emotional intelligence, digital communication, digital literacy and digital rights. A survey was conducted comprising 409 admins and clerks in SMEs. Second, confirmatory factor analysis and convergent validity were tested along the eight digital dimensions.

Findings
This study extended the DIQ concept to provide theoretical contribution for DIQ with intelligence study. Eight dimensions were developed to measure DIQ, including aspects of digital identity, digital use, digital safety, digital security, digital emotional intelligence, digital communication, digital literacy and digital rights.

Research limitations/implications
The DIQ questionnaire was a single-source, self-assessed data collection, as the sample included only employees of SMEs in Thailand. Results showed a good fit but require further refinement and validation using a larger sample size and various supplementary sampling contexts.

Practical implications
The eight DIQ dimensions and questionnaire results will assist organisations and supervisors to focus on employees’ DIQ using both work and lifestyle parameters. This knowledge will help supervisors to encourage employees to increase their DIQ for more effective usage of digital literacy. Researchers and academics will be able to apply this instrument in future studies.

Originality/value
The DIQ questionnaire is a new instrument which comprehensively explores relevant dimensions to increase employee understanding of digital identity, digital use, digital safety, digital security, digital emotional intelligence, digital communication, digital literacy and digital rights.
A rock physics model to map gross lithology using compaction
Authors: Gallop Jeremy , Babak Olena , Liu Kun 
Published: August 2019

ABSTRACTDifferential compaction has long been used by seismic interpreters to infer subsurface geology using knowledge of the relative compaction of different types of sediments. We outline a method to infer the gross fraction of shale in an interval between two seismic horizons using sandstone and shale compaction laws. A key component of the method involves reconstruction of a smooth depositional horizon by interpolating decompacted thicknesses from well control. We derive analytic formulae for decompaction calculations using known porosity–stress relations and do not employ discrete layer iterative methods; these formulae were found to depend not only upon the gross fraction of shale but also on the clay content of the shales and the thickness of the interval. The relative merits of several interpolation options were explored, and found to depend upon the structural setting. The method was successfully applied to an oil sands project in Alberta, Canada.
Do traits and phylogeny support congruent community diversity patterns and assembly inferences?
Authors: Cadotte Marc W. , Carboni Marta , Si Xingfeng , Tatsumi Shinichi 
Published: August 2019

AbstractIt is now commonplace in community ecology to assess patterns of phylogenetic or functional diversity in order to inform our understanding of the assembly mechanisms that structure communities. While both phylogenetic and functional approaches have been used in conceptually similar ways, it is not clear if they both in fact reveal similar community diversity patterns or support similar inferences. We review studies that use both measures to determine the degree to which they support congruent patterns and inferences about communities.We performed a literature review with 188 analyses from 79 published papers that compared some facet of phylogenetic (PD) and functional diversity (FD) in community ecology. These studies generally report four main cases in which phylogenetic and functional information are used together in community analyses, to determine if: (a) there were phylogenetic signals in the measured traits in communities; (b) PD and FD were correlated with one another; (c) standardized PD and FD measures similarly revealed patterns of community over‐ or under‐dispersion; and (d) PD and FD were both related to other explanatory variables (e.g. elevation) similarly.We found that the vast majority of studies found both strong phylogenetic signals in their traits and positive correlations of PD and FD measures across sites. However, and surprisingly, we found substantial incongruencies for the other tests. Phylogenetic and functional dispersion patterns were congruent only about half the time. Specifically, when communities were phylogenetically over‐dispersed, these same communities were more likely to be functionally under‐dispersed. Similarly, we found that phylogenetic and functional relationships with independent predictors were incongruent in about half of the analyses.Synthesis. Phylogenetic signal tests and PD–FD correlations appear to strongly support the congruence between traits and phylogeny. It is surprising that strong phylogenetic signals appeared so ubiquitous given that ecological studies often analyse phylogenetically incomplete sets of species that have undergone ecological sorting. Despite the largely congruent findings based on phylogenetic signal tests and PD‐FD correlations, we found substantial incongruencies when researchers assessed either dispersion patterns or relationships with independent predictors. We discuss a number of potential ecological, evolutionary and methodological reasons for these incongruencies. Phylogenetic and functional information might reflect species ecological differences unequally with phylogenies better reflecting multivariate conserved elements of ecological similarity, and single traits better able to capture recent divergence, and both elements influence ecological patterns.
Shifts in plant functional composition following long‐term drought in grasslands
Authors: Griffin‐Nolan Robert J. , Blumenthal Dana M. , Collins Scott L. , Farkas Timothy E. , Hoffman Ava M. , Mueller Kevin E. , Ocheltree Troy W. , Smith Melinda D. , Whitney Kenneth D. , Knapp Alan K. 
Published: August 2019

AbstractPlant traits can provide unique insights into plant performance at the community scale. Functional composition, defined by both functional diversity and community‐weighted trait means (CWMs), can affect the stability of above‐ground net primary production (ANPP) in response to climate extremes. Further complexity arises, however, when functional composition itself responds to environmental change. The duration of climate extremes, such as drought, is expected to increase with rising global temperatures; thus, understanding the impacts of long‐term drought on functional composition and the corresponding effect that has on ecosystem function could improve predictions of ecosystem sensitivity to climate change.We experimentally reduced growing season precipitation by 66% across six temperate grasslands for 4 years and measured changes in three indices of functional diversity (functional dispersion, richness and evenness), community‐weighted trait means and phylogenetic diversity (PD). Specific leaf area (SLA), leaf nitrogen content (LNC) and (at most sites) leaf turgor loss point (πTLP) were measured for species cumulatively representing ~90% plant cover at each site.Long‐term drought led to increased community functional dispersion in three sites, with negligible effects on the remaining sites. Species re‐ordering following the mortality/senescence of dominant species was the main driver of increased functional dispersion. The response of functional diversity was not consistently matched by changes in phylogenetic diversity. Community‐level drought strategies (assessed as CWMs) largely shifted from drought tolerance to drought avoidance and/or escape strategies, as evidenced by higher community‐weightedπTLP, SLA and LNC. Lastly, ecosystem drought sensitivity (i.e. relative reduction in ANPP in drought plots) was positively correlated with community‐weighted SLA and negatively correlated with functional diversity.Synthesis.Increased functional diversity following long‐term drought may stabilize ecosystem functioning in response to future drought. However, shifts in community‐scale drought strategies may increase ecosystem drought sensitivity, depending on the nature and timing of drought. Thus, our results highlight the importance of considering both functional diversity and abundance‐weighted traits means of plant communities as their collective effect may either stabilize or enhance ecosystem sensitivity to drought.
Resisting big data exploitations in public healthcare: free riding or distributive justice?
Authors: Vezyridis Paraskevas , Timmons Stephen 
Published: August 2019

AbstractWe draw on findings from qualitative interviews with health data researchers, GPs and citizens who opted out from NHS England's care.data programme to explore controversies and negotiations around data sharing in the NHS. Drawing on theoretical perspectives from science and technology studies, we show that the new socio‐technical, ethical and economic arrangements were resisted not only on the basis of individual autonomy and protection from exploitation, but also as a collective effort to protect NHS services and patient data. We argue that the resulting opt‐outs were a call for more personal control over data use. This was not because these citizens placed their personal interests above those of society. It was because they resisted proposed arrangements by networks of stakeholders, not seen as legitimate, to control flows and benefits of NHS patient data. Approaching informed consent this way helps us to explore resistance as a collective action for influencing the direction of such big data programmes towards the preservation of public access to healthcare as well as the distribution of ethical decision‐making between independent, trustworthy institutions and individual citizens.