bluuebunny/crossref_metadata_2025_split huggingface dataset:
Particle-associated and free-living bacterial communities in an oligotrophic sea are affected by different environmental and anthropogenic factors
Authors: Rosenberg Dalit Roth , Haber Markus , Goldford Joshua , Lalzar Maya , Aharoonovich Dikla , Al-Ashhab Ashraf , Lehahn Yoav , Krom Michael D. , Segrè Daniel , Steindler Laura , Sher Daniel 
Published: April 2020

SummaryIn the oceans and seas, environmental conditions change over multiple temporal and spatial scales. Here, we ask what factors affect the bacterial community structure across time, depth and size fraction during six seasonal cruises (two years) in the ultra-oligotrophic Eastern Mediterranean Sea. The bacterial community varied most between size fractions (free-living vs particle-associated), followed by depth and finally season. The free-living (FL) community was taxonomically richer and more stable than the particle-associated (PA) one, which was characterized by recurrent “blooms” of heterotrophic bacteria such asAlteromonasandRalstonia. The heterotrophic FL and PA communities were also correlated with different environmental parameters: depth and phytoplankton correlated with the FL population, whereas PA bacteria were correlated primarily with season. A significant part of the variability in community structure could not, however, be explained by the measured environmental parameters. The metabolic potential of the PA community, predicted from 16S amplicon data, was enriched in pathways associated with the degradation and utilization of biological macromolecules, as well as plastics, other petroleum products and herbicides. The FL community was enriched in pathways for the metabolism of inositol phosphate, a potential phosphorus source, and of polycyclic aromatic hydrocarbons.Originality – Significance StatementMarine microbial populations are complex and dynamic, and the environmental drivers of the structure and function of these communities are mostly unclear. Specifically, marine microbial communities change over time, over depth and between particle-associated and free-living size fractions, yet the relative importance of each of these axes of variability is unclear. Our results highlight fundamentally different population dynamics between free-living and particle-associated marine bacteria: free living populations were more similar between seasons, whereas particle-associated populations were highly variable and exhibited “blooms” of specific clades of heterotrophic bacteria. We also suggest that the environmental conditions often measured as part of oceanographic cruises are not enough to explain most of the variability in microbial population structure. We speculate that organismal interactions and the presence of anthropogenic pollution may be also be important yet under-sampled drivers of oligotrophic marine microbial communities.
Clearing-induced tisssue shrinkage: Novel observation of a thickness size effect
Authors: Vulders R.C.M. , van Hoogenhuizen R.C. , van der Giessen E. , van der Zaag P.J. 
Published: April 2020

ABSTRACTThe use of clearing agents has provided new insights in various fields of medical research (developmental biology, neurology) by enabling examination of tissue architecture in 3D. One of the challenges is that clearing agents induce tissue shrinkage and the shrinkage rates reported in the literature are incoherent. Here, we report that the shrinkage for a widely-used clearing agent decreases significantly with increasing sample size, and report an analytical description.
The ‘new’ Philippine future “beside” the exodus
Authors: Opiniano Jeremaiah M. 
Published: April 2020

PurposeThe purpose of this paper is to review the international migration-and-development story of the Philippines, amongst the leading migrant-origin countries.Design/methodology/approachMigration and socio-economic development data are used to depict the migration-and-development conditions of the Philippines.FindingsThe Philippines has mastered the management of overseas migration based on its bureaucracy and policies for the migrant sector. Migration also rose for decades given structural economic constraints. However, the past 10 years of macro-economic growth may have seen migration and remittances helping lift the Philippines' medium-to-long term acceleration. The new Philippine future beside the overseas exodus hinges on two trends: accelerating the economic empowerment of overseas Filipinos and their families to make them better equipped to handle the social costs of migration; and strategizing how to capture a “diasporic dividend” by pushing for more investments from overseas migrants' savings.Research limitations/implicationsThis paper may not cover the entirety of the Philippines' migration-and-development phenomenon.Practical implicationsImproving the financial capabilities of overseas Filipinos and their families will lead to their economic empowerment and to hopefully a more resilient handling of the (negative) social consequences of migration.Social implicationsIf overseas Filipinos and their families handle their economic resources better, they may be able to conquer the social costs of migration.Originality/valueThis paper employed a population-and-development (PopDev) framework to analyse the migration-and-development conditions of the Philippines.
Artificial intelligence (AI) in strategic marketing decision-making: a research agenda
Authors: Stone Merlin , Aravopoulou Eleni , Ekinci Yuksel , Evans Geraint , Hobbs Matt , Labib Ashraf , Laughlin Paul , Machtynger Jon , Machtynger Liz 
Published: April 2020

PurposeThe purpose of this paper is to review literature about the applications of artificial intelligence (AI) in strategic situations and identify the research that is needed in the area of applying AI to strategic marketing decisions.Design/methodology/approachThe approach was to carry out a literature review and to consult with marketing experts who were invited to contribute to the paper.FindingsThere is little research into applying AI to strategic marketing decision-making. This research is needed, as the frontier of AI application to decision-making is moving in many management areas from operational to strategic. Given the competitive nature of such decisions and the insights from applying AI to defence and similar areas, it is time to focus on applying AI to strategic marketing decisions.Research limitations/implicationsThe application of AI to strategic marketing decision-making is known to be taking place, but as it is commercially sensitive, data is not available to the authors.Practical implicationsThere are strong implications for all businesses, particularly large businesses in competitive industries, where failure to deploy AI in the face of competition from firms, who have deployed AI to improve their decision-making could be dangerous.Social implicationsThe public sector is a very important marketing decision maker. Although in most cases it does not operate competitively, it must make decisions about making different services available to different citizens and identify the risks of not providing services to certain citizens; so, this paper is relevant to the public sector.Originality/valueTo the best of the authors’ knowledge, this is one of the first papers to probe deployment of AI in strategic marketing decision-making.
Electro-quasistatic field-simulation of biological cells using balanced domain-decomposition
Authors: Böhmelt Sebastian , Kielian Nils , Hagel Michael , Stiemer Marcus , Henkel Marvin-Lucas , Clemens Markus 
Published: April 2020

Purpose
The purpose of this paper is to present the implementation of a balanced domain decomposition approach for the numerical simulation of large electro-quasistatic (EQS) systems in biology. The numerical scheme is analyzed and first applications are discussed.

Design/methodology/approach
The scheme is based on a finite element discretization of the individual domains obtained by decomposition and a physically consistent inter-domain coupling realized via Robin boundary conditions. The proposed algorithms can efficiently be implemented on a highly parallelized computing grid.

Findings
The feasibility and applicability of the method is proven. Further, a couple of technical details are found that increase the efficiency of the method.

Originality/value
The presented method offers an enhanced geometrical flexibility and extensibility to simulate larger cell systems with higher model resolution compared to other methods presented in the literature. The presented analysis provides an understanding of the balanced coupling scheme for large EQS systems.
Network planning of urban underground logistics system with hub-and-spoke layout: two phase cluster-based approach
Authors: Hu Wanjie , Dong Jianjun , Hwang Bon-Gang , Ren Rui , Chen Zhilong 
Published: April 2020

PurposeUnderground logistics system (ULS) is recognized as sustainable alleviator to road-dominated urban logistics infrastructure with various social and environmental benefits. The purpose of this study is to propose effective modeling and optimization method for planning a hub-and-spoke ULS network in urban region.Design/methodology/approachUnderground freight tunnels and the last-mile ground delivery were organized as a hierarchical network. A mixed-integer programming model (MIP) with minimum system cost was developed. Then a two-phase optimization schema combining Genetic-based fuzzy C-means algorithm (GA-FCM), Depth-first-search FCM (DFS-FCM) algorithm and Dijkstra algorithm (DA), etc. was designed to optimize the location-allocation of ULS facilities and customer clusters. Finally, a real-world simulation was conducted for validation.FindingsThe multistage strategy and hybrid algorithms could efficiently yield hub-and-spoke network configurations at the lowest objective cost. GA-FCM performed better than K-means in customer-node clustering. The combination of DFS-FCM and DA achieved superior network configuration than that of combining K-means and minimum spanning tree technique. The results also provided some management insights: (1) greater scale economies effect in underground freight movement could reduce system budget, (2) changes in transportation cost would not have obvious impact on ULS network layout and (3) over 90% of transportation process in ULS network took place underground, giving remarkable alleviation to road freight traffic.Research limitations/implicationsDemand pairs among customers were not considered due to lacking data. Heterogeneity of facilities capacity parameters was omitted.Originality/valueThis study has used an innovative hybrid optimization technique to address the two-phase network planning of urban ULS. The novel design and solution approaches offer insights for urban ULS development and management.
Key drivers for smart and sustainable practices in the built environment
Authors: Olawumi Timothy O. , Chan Daniel W.M. 
Published: April 2020

PurposeThe construction industry has been evolving in recent years through the adoption of smart tools such as building information modeling to reduce the complexity in the construction process and optimize the project's goals. This paper aims to identify and assess the key drivers for the implementation of smart sustainable practices in the construction industry.Design/methodology/approachInferential and descriptive statistical techniques were employed in analyzing the data collected via an international empirical questionnaire survey deployed in soliciting the perceptions of 220 construction professionals across 21 countries. Factor analysis was used to categorize the identified key drivers into their underlying clusters for further discussion. Also, the data were analyzed based on the various groups and regions of the study's respondents.FindingsThe key drivers (KDs) are related to the technical competence of staff as well as knowledge and awareness level within the industry, issues related to organizational and project's strategy and policies, availability of financial resources and development of relevant standards and policies to aid its execution among others. A comparative analysis of the perceptions of the different respondents' groups was undertaken and discussed.Practical implicationsThe analysis of the key drivers for the implementation of smart and sustainable practices in the construction industry is expected to aid the decision-making of the relevant stakeholders as well as serve as a consultation instrument for government agencies in their design of localized policies and guidelines to aid smart and sustainable urbanization. The findings revealed the gaps in the implementation of smart and sustainable practices in various climes and organization setups and provided useful and practical strategies for addressing the current hindrances during implementation.Originality/valueThe study has generated valuable insights into the significant drivers that can enhance the implementation of smart and sustainable practices across regions. It is evident that synergy among the relevant stakeholders in the built environment will help accelerate the implementation of smart sustainable practices in the construction industry. The study findings have provided profound contributions to theory and research as well as to industry practice.
Modeling and performance evaluation of PPP projects utilizing IFC extension and enhanced matter-element method
Authors: Xu Zhao , Wang Xiang , Xiao Ya , Yuan Jingfeng 
Published: April 2020

PurposeThere is often a lack of accurate performance evaluation in Public–Private Partnership (PPP) projects. It is a challenging issue to effectively use Building Information Modeling (BIM) for PPP project performance evaluation. The objective of this study is to develop a PPP project performance evaluation model based on Industry Foundation Classes (IFC) and an enhanced matter-element method to more precisely evaluate PPP project performance.Design/methodology/approachThe performance evaluation of PPP projects in the construction and operation period was explored. The PPP project performance evaluation indicator system was first established based on a literature review and PPP project practice. Then, the evaluation indicator information was expressed through IFC mapping and extension. After that, an IFC-based PPP project performance evaluation model was developed, and a case study was provided to validate the use of the proposed performance evaluation model.FindingsThe results of the case study show that the proposed approach can accurately and efficiently evaluate PPP projects, and it could favorably contribute to performance evaluation in PPP projects.Research limitations/implicationsThis study only concerns the performance evaluation of one type of PPP project. Further research is required to study different types of PPP projects; the model needs to be more efficient and intelligent.Originality/valueThe performance evaluation of PPP projects utilizing IFC extension and the enhanced matter-element method provides guidance for the government and private parties to accurately and efficiently evaluate PPP project performance.
Quality assessment framework for open government data
Authors: Zhang Hui , Xiao Jianying 
Published: April 2020

Purpose
To gain an in-depth understanding and provide direction to governments on their quality measurement practices related to open government data (OGD), this paper aims to develop a common frame of reference for quality assessment of OGD.

Design/methodology/approach
Qualitative meta-synthesis was used to synthesize previous studies on the quality measurement of OGD. This paper applies a meta-synthesis approach to integrate 10 qualitative studies into a common frame of reference for quality assessment of OGD.

Findings
Based on a seven-step meta-synthesis, the paper proposes a common frame of reference for quality assessment of OGD, which includes six indicators, namely, accuracy, accessibility, completeness, timeliness, consistency and understandability.

Originality/value
A common frame of reference for quality assessment of OGD will help researchers better understand the quality assessment of OGD and government agencies to improve the quality of OGD that they publish.
Reading digital texts: obstacles to using digital resources
Authors: Kesson Hugh 
Published: April 2020

PurposeDigital texts are increasingly widespread and research is needed on how students use digital texts, particularly in school-based classwork. The purpose of this study is to challenges persistent myths about young people’s affinity with digital tools by investigating the factors that condition or limit the ways students interact with and respond to digital web-based texts.Design/methodology/approachTwo 12th grade English classes, 21 students in all, produced written responses to a digital text. Following a preliminary analysis of student writing, 7 students, representing diverse reading backgrounds, were interviewed. Content units were used as a unit of analysis for both interviews and written data. Following open coding, 14 initial codes were condensed into 3 categories, namely, routines, tools and beliefs.FindingsThis study suggests that for students to see digital textual resources as significant, they must be guided to engage with these features. Classroom routines, the tools used in teaching and learning reading and the beliefs students hold about their school-based reading can restrict student uptake of digital features of texts. Instruction must be adapted to include teaching on digital texts.Originality/valueStudents interact with digital texts daily, yet explicit teaching on reading digital texts presents particular demands. This study contributes to understanding the challenges faced by students and teachers when they grapple with texts in different forms.
Average and avid: preservice English teachers' reading identities
Authors: Kerkhoff Shea , Broere Molly , Premont David 
Published: April 2020

PurposePrevious research shows that identity and academic learning are interdependent, so affecting one can affect the other. The purpose of this case study was to explore preservice English teachers’ reading identities and their perceptions of reading identity development in the context of English classrooms.Design/methodology/approachThis study used qualitative collective case design. Data sources included analogy exercise about participants’ reading identities, participant-generated observations of reading identity instruction, questionnaire on reading identity, class discussions about reading identity and final written reflection.FindingsData showed examples of participants’ reading identities as taking a variety of forms, but when discussing what shaped their reading identities, the strongest codes related to positive interactions with people and texts. The data showed that participants related positive reading identities to both reading to learn and reading for pleasure. More participants’ perceived their professional identity as that of a literature teacher than a reading teacher.Research limitations/implicationsFuture research is needed on how to support preservice teachers’ positive reading identities in English education courses.Practical implicationsOur data suggest that learning about reading identity may help preservice English teachers think of reading as something that is developing in themselves as well as their students over a lifetime. By providing space in English methods programs to attend to preservice teachers’ reading lives, we can help them rekindle or find their love of reading.Originality/valueThis research is needed because helping preservice teachers construct and enact positive reading identities in turn aids guidance of their future students’ reading identities, and having a positive reading identity is in turn linked to positive student outcomes.
Detection of high stress concentration zone using magnetic flux leakage method
Authors: Firdaus Syed Muhamad , Arifin Azli , Sahadan Siti Norbaya , Abdullah Shahrum 
Published: April 2020

PurposeA tower crane mainly ensures the success or efficiency of building construction. Fatigue crack analysis is important for tower crane components to prevent any accidents to workers in construction sites caused by component failure and to ease the maintenance or replacement of failed components. This work aimed to characterise the damage of failed components, analyse the relationship between the metal magnetic memory (MMM) result and the damage of failed components, and to validate the relationship between MMM and finite element analysis (FEA).Design/methodology/approachMMM was used in this work to detect any irregularities or early failure on the basis of the high stress concentration zone of ferromagnetic steel using magnetic flux leakage. Magnetic flux leakage was used on the MMM device to achieve the first objective using the MMM system by detecting the irregularities. The results of MMM analysis were validated through comparison with FEA results by determining their relationship.FindingsMMM results show that the position of defects on the tower crane pulley is within the stress area shown on FEA.Originality/valueHence, MMM method is a potential tool in monitoring failure mechanism in construction site.
Terms of trade and economic growth in developing country
Authors: Jawaid Syed Tehseen , Waheed Abdul , Siddiqui Aamir Hussain 
Published: April 2020

PurposeThe purpose of this study is to investigate the first time ever the effects of overall terms of trade, bilateral terms of trade and main commodity groups’ terms of trade on economic growth.Design/methodology/approachAugmented Dickey Duller and Philips Perron unit root tests and Johensan cointegration test have been applied by using annual time series data from 1974 to 2017. Dynamic ordinary least square and fully modified ordinary least square have also been used to perform sensitivity analysis.FindingsThe cointegration test confirm the positive long-run relationship between overall terms of trade (ToT) and economic growth. Country-wise results show that ToT with Australia, Bangladesh, Canada, Hong Kong, Japan, Kuwait, Malaysia, Singapore, Sri Lanka, UK and the USA have significant positive effect on economic growth. Conversely, ToT with China and UAE has significant negative effect on economic growth. In contrast, ToT with India, Norway, Saudi Arabia and Switzerland has insignificant effect on the economic growth of Pakistan. Product-wise results indicate that the product group namely, Chemical, Crude Material inedible except fuels, Manufactured and Minerals fuels and Lubricant found to be a significant positive effect on economic growth. However, Beverages and Tobacco, and Machinery and Transport product groups found to be significant negative impact on economic, while Food and Live animals found to be insignificant.Practical implicationsIn general, it is suggested that the beneficial terms of trade are favorable for economic growth. The study suggested export promotion policy for which relationship between ToT and economic growth found positive and import substitution policy is suggested the products found a negative relationship between the said variables.Originality/valueThis paper is a pioneer attempt to investigate the effect of overall ToT, bilateral terms of trade and the main commodity group’s ToT on economic growth in Pakistan.