bluuebunny/crossref_metadata_2025_split huggingface dataset:
Looking for value through networked learning in social context
Authors: Bagheri Amin , Yamani douzi sorkhabi Mohammad 
Published: May 2020

PurposeThe purpose of this paper is to investigate students' social networking strategies based on learning values in the social context of Iranian universities.Design/methodology/approachThis research has used the case study method to investigate students’ networked learning (NL) strategies among students of four different universities in the context of Iran. They were explored by semistructured in-depth interviews about the nature or current conditions of their study life. The data were analyzed by the qualitative analysis method based on the systematic approach of Strauss and Corbin (1998).FindingsThe researchers in this study found the special concept of NL in the social context: “NL as a continuous process of thinking to understand the environment through multiple/ diverse careers of learning knowledge and skills for environmental modeling towards creating added-value.” According to this definition, various networked strategies were identified as follows: 1) interactive and multidimensional searching, 2) multidimensional studying and learning, 3) environmental and social management, 4) studying and social wandering.Research limitations/implicationsDesigning dynamic curriculum, which integrates various careers of learning, multidimensional knowledge and abilities and subject matters with environmental events and social structures of the society. Given the exploratory nature of the research, the paper cannot provide empirically justified findings.Originality/valueThe research had identified diverse approaches of networking strategies, which do not appear just as a positive instrument to improve learning conditions. However, there is such an extreme degree of social wandering among students in universities that makes their efforts useless.
An interactive tool for citizens’ involvement in the sustainable regeneration
Authors: Temeljotov Salaj Alenka , Gohari Savis , Senior Coline , Xue Yan , Lindkvist Carmel 
Published: May 2020

Purpose
The purpose of this paper is to test possibilities of real participation in FM field in response to the energy sustainable demand by using new technologies for better communication. It is acknowledged that the technological innovation is a necessary condition to make a city sustainable, though the challenge is not primarily on technology but on service transformation and improvement. Improving service quality requires the participatory and synergetic processes that attract an extra attention to the social and management aspects of urban planning.

Design/methodology/approach
This is an evidence-based research, which shows how FM can extent its impact on the build environment and society by bringing the socio-physiological aspect and the community in the central of the planning and design process.

Findings
An “urban” facility manager, through integration of multiple disciplines in a human-centre approach, can become the enabler and implementer of sustainable urban ecosystem, i.e. balancing social, economic and environmental pillars. This requires central involvement of FM in the planning and decision-making processes; therefore, its role and impact should be enlarged and better communicated. The enlargement of the FM's role initially requires an effective communication with people, whose behavioural change are prerequisite for the sustainability transition. The communication between FM and people should be interactive and iterative, in which they both define problems/needs and co-create the relevant solutions.

Research limitations/implications
This paper depicts an evidence-based FM practice, in which the website as an interactive tool is co-designed by the “facility management” students and the citizens to contribute to the real citizen participation in an effective communication process.

Originality/value
The high value for both, citizens and facility manager, is co-created information platform for upgrading the sustainability level and well-being in the communities. The tool is seen as an important starting contribution for the Paris climate agreement, and as a step toward human-centric-oriented urban sustainable regenerating project.
A new approach to the degree of greyness
Authors: Mierzwiak Rafał , Nowak Marcin , Xie Naiming 
Published: May 2020

PurposeThe degree of greyness may be regarded as a measure of cognitive uncertainty. Therefore, it is a part of the epistemological core of the grey systems theory. The theoretical importance of the degree of greyness concept is also due to its application in a range of uncertainty modelling methods: predictive, relational and decision-making methods. Greyness, being a result of cognitive uncertainty, was recently subjected to axiomatization in the form of grey space with the use of the classical sets theory. The purpose of this article is to develop a new approach to the degree of greyness, being consistent with the grey space concept.Design/methodology/approachIn order to realise the article’s goals, the research is divided into three stages described in particular sections. The first section of the article presents a theoretical framework of the degree of greyness and the grey space. The second part includes the assumptions of the new degree of greyness concept, along with the mathematical models for the first, the second and the third degree of greyness. The third section contains numerical examples for each degree of greyness.FindingsAs a result of the research, a concept of a degree of greyness was created and it was linked with a concept of grey space. This new approach to the issue of the degree of greyness has allowed the analysing of this category in three dimensions dependent on an accepted reference base. As a result, a concept of concrete and abstractive grey numbers was introduced and relationships between these categories of numbers and the degree of greyness were determined.Originality/valueThe proposed approach to the issue of the degree of greyness is a theoretical unification of the previous considerations in this area. The proposed three dimensions of greyness degree will be derived from the grey space, so they will also be a function of quantity. Thus, the degree of greyness was linked with a classical set theory. An original input in this article is also a differentiation of concrete and abstractive grey numbers, which give a basis for deliberations connected with interpretation of grey numbers in the context of real applications.
Perceptions of culinary education and chef apprenticeships in Ireland
Authors: Gray Emily , Farrell Kathleen Geraldine 
Published: May 2020

PurposeThe relationship between the shortage of chefs for the hospitality industry in Ireland and the lack of uptake for chef apprenticeship is an underexplored topic. This study investigates attitudes to chef training and chef apprenticeship among industry representatives and second-level students.Design/methodology/approachUsing a mixed method approach, the qualitative research comprised of in-depth interviews conducted with key experts in the industry and from the educational sector. The quantitative research approach comprised of questionnaires conducted with second-level students.FindingsThe research results found that there is a stigma attached to chef apprenticeships, and this is part of the reason that the apprenticeship has low uptake. However, it was also found that working conditions in the industry were a real concern.Research limitations/implicationsThis is an exploratory study with a small sample of interviewees and survey respondents. However, it is a first step towards understanding some of the key issues relating to low uptake for chef apprenticeship.Practical implicationsAccess for second-level students to information regarding the benefits of a chef apprenticeship is lacking. It is necessary to convince students that an apprenticeship is as beneficial as a degree. Training for career guidance councillors is needed.Originality/valueThere is a dearth of research on the low uptake to chef apprenticeship. Research is recommended into how to re-brand chef apprenticeship.
A big data analytics based methodology for strategic decision making
Authors: Özemre Murat , Kabadurmus Ozgur 
Published: May 2020

PurposeThe purpose of this paper is to present a novel framework for strategic decision making using Big Data Analytics (BDA) methodology.Design/methodology/approachIn this study, two different machine learning algorithms, Random Forest (RF) and Artificial Neural Networks (ANN) are employed to forecast export volumes using an extensive amount of open trade data. The forecasted values are included in the Boston Consulting Group (BCG) Matrix to conduct strategic market analysis.FindingsThe proposed methodology is validated using a hypothetical case study of a Chinese company exporting refrigerators and freezers. The results show that the proposed methodology makes accurate trade forecasts and helps to conduct strategic market analysis effectively. Also, the RF performs better than the ANN in terms of forecast accuracy.Research limitations/implicationsThis study presents only one case study to test the proposed methodology. In future studies, the validity of the proposed method can be further generalized in different product groups and countries.Practical implicationsIn today’s highly competitive business environment, an effective strategic market analysis requires importers or exporters to make better predictions and strategic decisions. Using the proposed BDA based methodology, companies can effectively identify new business opportunities and adjust their strategic decisions accordingly.Originality/valueThis is the first study to present a holistic methodology for strategic market analysis using BDA. The proposed methodology accurately forecasts international trade volumes and facilitates the strategic decision-making process by providing future insights into global markets.
Building apparel manufacturing competitiveness through policy–a system dynamics approach
Authors: Wilson Shellyanne 
Published: May 2020

PurposeThe purpose of this paper is to examine the role of Government via its industrial policy aimed at building competitiveness in apparel manufacturing in a developing country.Design/methodology/approachA conceptual framework that proposes the causal relationships between policies and competitiveness is applied to the apparel manufacturing sector in Trinidad and Tobago. The study utilises primary data from interviews and observations, and secondary data sources inclusive of industry and fashion companies reports. Data analysis of four vertical policies is performed via the use of system dynamics modelling and simulation.FindingsThe four vertical policies were found to impact three interrelated elements in the apparel manufacturing sector: the market, apparel products and productive resources. Policies that intentionally focussed on improving market attractiveness benefited wide segments of the industry. However, policies that focussed on product and resource attractiveness that were designed as direct support for selected firms had a lower impact on overall industry competitiveness than those that had an industry-wide focus.Research limitations/implicationsA single industry in a small developing island state limits the generalisability of the research findings. Additionally, non-reporting of export data and aggregation of industry data limits the conclusions that can be drawn regarding the impact of the vertical policies on the apparel industry. 10; 10;Practical implicationsPolicy-makers should consider the scope of the vertical policies in terms of the number of firms in the industry to benefit, and the need for complementary horizontal policies for creating enabling environments for competitiveness.Originality/valueThe paper proposes a conceptual framework to capture relationships between vertical policy and competitiveness.
Consumer responses to shopper solutions in service settings
Authors: Thomas Ashley M. , Newman Christopher L. , Finkelstein Stacey R. , Cho Yoon-Na , Cascio Allyn 
Published: May 2020

Purpose
Retailers are continuously seeking to improve upon the in-store shopping experience for their customers. The present research aims to examine consumers’ responses to one such initiative – the shopper solution – that, despite its growing marketplace prominence, remains largely unexamined in academic literature.

Design/methodology/approach
Two studies employed a 2(shopper solution: present vs. absent) between-subjects design. MANOVA and regression analyses were used to test hypothesized relationships.

Findings
Findings across two studies reveal that the presence (vs absence) of solutions positively influenced shoppers’ perceptions of shopping convenience, as well as their purchase intentions. These favorable effects also extended to the provider in higher word-of-mouth and loyalty intentions. Shopping convenience was identified as the mechanism underlying the impact of solutions, while “smart shopper” self-perceptions were shown to moderate these mediating effects.

Practical implications
Shopper solutions represent a low-cost, in-store marketing tactic that enhances shopping convenience. They are easy to implement, result in little to no overhead costs and can benefit both shoppers and retailers.

Originality/value
To the best of the authors’ knowledge, this research represents the first academic examination of the impact of shopper solutions. The authors identify key mediating and moderating influences of the effects of solutions.
Impact of Hall effect, nonlinear radiation and heat source on MHD Couette–Poiseuille flow of nanoliquid through a rotating channel
Authors: Sindhu S. , Gireesha B.J. , Sowmya G. 
Published: May 2020

PurposeThis report offers the detailed investigation of Couette–Poiseuille flow of nanoliquid with varying viscosity. The analysis is carried out by considering flow between two parallel plates in a rotating permeable channel with the aid of nonlinear thermal radiation and Hall effect. The predominant equations governing the physical phenomenon are demonstrated using the Buongiorno model.Design/methodology/approachNumerical computation for the demonstrated physical problem is achieved through the implementation of the Runge–Kutta–Fehlberg fourth–fifth-order method along with shooting technique.FindingsThe theoretical view of Brownian motion, nonlinear radiation, Hall effect and thermophoresis parameter is presented graphically.Originality/valueIt is revealed that flow velocity increases with the upper wall motion parameter and magnetic field. Also, it is established that an increase in the Nusselt number is achieved for increasing values of nonlinear radiation parameter.
The ROK‐family regulator Rok7B7 directly controls carbon catabolite repression, antibiotic biosynthesis, and morphological development in Streptomyces avermitilis
Authors: Lu Xiaorui , Liu Xingchao , Chen Zhi , Li Jilun , van Wezel Gilles P. , Chen Wei , Wen Ying 
Published: May 2020

SummaryCarbon catabolite repression (CCR) is a common phenomenon in bacteria that modulates expression of genes involved in uptake of alternative carbon sources. In the filamentous streptomycetes, which produce half of all known antibiotics, the precise mechanism of CCR is yet unknown. We report here that the ROK‐family regulator Rok7B7 pleiotropically controls xylose and glucose uptake, CCR, development, as well as production of the macrolide antibiotics avermectin and oligomycin A in Streptomyces avermitilis. Rok7B7 directly repressed structural genes for avermectin biosynthesis, whereas it activated olmRI, the cluster‐situated activator gene for oligomycin A biosynthesis. Rok7B7 also directly repressed the xylose uptake operon xylFGH, whose expression was induced by xylose and repressed by glucose. Both xylose and glucose served as Rok7B7 ligands. rok7B7 deletion led to enhancement and reduction of avermectin and oligomycin A production, respectively, relieved CCR of xylFGH, and increased co‐uptake efficiency of xylose and glucose. A consensus Rok7B7‐binding site, 5′‐TTKAMKHSTTSAV‐3′, was identified within aveA1p, olmRIp, and xylFp, which allowed prediction of the Rok7B7 regulon and confirmation of 11 additional targets involved in development, secondary metabolism, glucose uptake, and primary metabolic processes. Our findings will facilitate methods for strain improvement, antibiotic overproduction, and co‐uptake of xylose and glucose in Streptomyces species.
Iron‐biomineralizing organelle in magnetotactic bacteria: function, synthesis and preservation in ancient rock samples
Authors: Amor Matthieu , Mathon François P. , Monteil Caroline L. , Busigny Vincent , Lefevre Christopher T. 
Published: May 2020

SummaryMagnetotactic bacteria (MTB) are ubiquitous aquatic microorganisms that incorporate iron from their environment to synthesize intracellular nanoparticles of magnetite (Fe3O4) or greigite (Fe3S4) in a genetically controlled manner. Magnetite and greigite magnetic phases allow MTB to swim towards redox transition zones where they thrive. MTB may represent some of the oldest microorganisms capable of synthesizing minerals on Earth and have been proposed to significantly impact the iron biogeochemical cycle by immobilizing soluble iron into crystals that subsequently fossilize in sedimentary rocks. In the present article, we describe the distribution of MTB in the environment and discuss the possible function of the magnetite and greigite nanoparticles. We then provide an overview of the chemical mechanisms leading to iron mineralization in MTB. Finally, we update the methods used for the detection of MTB crystals in sedimentary rocks and present their occurrences in the geological record.
Ownership structure, size, and interest income substitution by banks: An exploratory study in the Indian context
Authors: Kaur Navneet , Kaur Parneet 
Published: May 2020

AbstractThis study explored how emerging economy banks are rebalancing their interest income and non‐interest income to ensure stability. We set our study in India during the period 2005–2017. Interestingly, we observe that time–series correlation of interest income growth and non‐interest income growth for public sector banks as well as for private banks is on the negative side. We applied panel vector auto regression and generalised method of moments methodology. This study found that when bank interest income falls, they try to increase their non‐interest income to offset their losses to a certain extent, and the trend is increasing. Public sector banks are overall substituting non‐interest income for a reduction in the margin, and there is an increasing trend for this substitution. Based on the size of banks, it has been found that change in non‐interest income in the subsequent year due to change in interest income in the previous year is there for large banks, whereas no such significant change has been found in case of small banks.
Detection of Mitragynine in Mitragyna Speciosa (Kratom) Using Surface‐Enhanced Raman Spectroscopy with Handheld Devices
Authors: Lanzarotta Adam , Thatcher Michael D. , Lorenz Lisa M. , Batson JaCinta S. 
Published: May 2020

AbstractA simple, quick, selective, sensitive, and effective field‐friendly method capable of being used by nonexperts has been developed for detecting mitragynine in Mitragyna speciosa (kratom) using surface‐enhanced Raman spectroscopy (SERS). Over 100 samples and blanks (known to be either positive or negative for the presence of mitragynine) were examined in duplicate using five identical handheld Raman spectrometers, which provided a data set of over 1,000 examinations. Based on the results of these analyses, the method yielded a true‐positive rate of 99.3%, a true‐negative rate of 97.9%, a false‐positive rate of 2.1%, and a false‐negative rate of 0.7%. The average minimum detectable concentration (Cm) of mitragynine that reproducibly yielded a match for one of the library spectra on all five instruments was determined to be 342 ng/mL (ppb). This Cm value is a conservative estimate considering that the extraction process was not fully optimized by this study, which was not necessary since the Cm value achieved was well below typical mitragynine concentrations in kratom (1.3–2.3%). The method is ideal (i) for prioritizing samples for additional testing using other more time‐consuming laboratory‐based techniques needed to detect and quantify mitragynine and (ii) for field use at international mail facility (IMF) satellite laboratories to help interdict kratom and prevent this dangerous product from reaching the U.S. supply chain.
A New Robust Epigenetic Model for Forensic Age Prediction
Authors: Montesanto Alberto , D’Aquila Patrizia , Lagani Vincenzo , Paparazzo Ersilia , Geracitano Silvana , Formentini Laura , Giacconi Robertina , Cardelli Maurizio , Provinciali Mauro , Bellizzi Dina , Passarino Giuseppe 
Published: May 2020

AbstractForensic DNA phenotyping refers to an emerging field of forensic sciences aimed at the prediction of externally visible characteristics of unknown sample donors directly from biological materials. The aging process significantly affects most of the above characteristics making the development of a reliable method of age prediction very important. Today, the so‐called “epigenetic clocks” represent the most accurate models for age prediction. Since they are technically not achievable in a typical forensic laboratory, forensic DNA technology has triggered efforts toward the simplification of these models. The present study aimed to build an epigenetic clock using a set of methylation markers of five different genes in a sample of the Italian population of different ages covering the whole span of adult life. In a sample of 330 subjects, 42 selected markers were analyzed with a machine learning approach for building a prediction model for age prediction. A ridge linear regression model including eight of the proposed markers was identified as the best performing model across a plethora of candidates. This model was tested on an independent sample of 83 subjects providing a median error of 4.5 years. In the present study, an epigenetic model for age prediction was validated in a sample of the Italian population. However, its applicability to advanced ages still represents the main limitation in forensic caseworks.