Contextual Coding in Qualitative Research Involving Participants with Diverse Sociocultural Backgrounds

Understanding participants' perspectives in qualitative research is contingent on unravelling the essential meaning of their speech. When data are collected in native language and translated into English language, the underlying sociocultural meaning of participants' speech can be missed. This paper discusses a new contextual coding approach and illustrates its application in research. The technique was used in a phenomenological study in Pakistan and a mixed methods study in Europe. Contextual coding entails a preliminary coding stage involving data reading in native language, choosing socially and culturally relevant words and phrases, and developing preliminary codes. The concluding coding stage focuses on creating a sociocultural query list, seeking answers through discussions among multilingual individuals, and finding a common language for code description. Contextual coding can enable researchers to understand sociocultural meaning of their data at an early stage, rather than waiting at the later stage of theme development to contextualize the findings

Context-oriented and transaction-based service provisioning

This paper presents our approach for service provisioning in pervasive computing environments. The presented approach is based on the usage of context-aware features and transactions during the discovery and the deployment of composite services. Context ensures that the best service offers are selected to participate in a service composition. Transactions help in improving the reliability and efficiency of the composite services

Numerical and experimental investigation of the effect of process parameters on sheet deformation during the electromagnetic forming of AA6061-T6 alloy.

Electromagnetic forming is a high-speed sheet metal forming technique to form metallic sheets by applying magnetic forces. In comparison to the conventional sheet metal forming process, electromagnetic forming is a process with an extremely high velocity and strain rate, which can be effectively used for the forming of certain difficult-to-form metals. During electromagnetic forming, it is important to recognise the effects of process parameters on the deformation and sheet thickness variation of the sheet metal. This research focuses on the development of a numerical model for aluminium alloy (AA6061-T6) to analyse the effects of three process parameters, namely voltage, sheet thickness and number turns of the coils, on the deformation and thickness variation of the sheet. A two-dimensional fully coupled finite-element (FE) model consisting of an electrical circuit, magnetic field and solid mechanics was developed and used to determine the effect of changing magnetic flux and system inductance on sheet deformation. Experiment validation of the results was performed on a 28 KJ electromagnetic forming system. The Taguchi orthogonal array approach was used for the design of experiments using the three input parameters (voltage, sheet thickness and number of turns of the coil). The maximum error between numerical and experimental values for sheet thickness variation was observed to be 4.9 %. Analysis of variance (ANOVA) was performed on the experimental results. Applied voltage and sheet thickness were the significant parameters, while the number of turns of the coil had an insignificant effect on sheet deformation. The contribution ratio of voltage and sheet thickness was 46.21 % and 45.12 % respectively. The sheet deformation from simulations was found to be in good agreement with the experimental results

Providing English and native language quotes in qualitative research: a call to action

Background When publishing qualitative research in international journals, researchers studying non-English-speaking participants provide quotes in English language. This is an issue of increasing concern given the need to be rigorous to represent a diversity of participants within their context, beyond how language (alone) situates them. Aim To argue for providing English and native language quotes in qualitative research reports. Design Discussion. Methods This paper is based on the literature on use of quotes and translation in qualitative research and authors’ experiences of publishing qualitative research. Results Provision of native and English language quotes may allow for greater transparency of findings, thereby reflecting that the researchers adequately captured the socially and culturally dependent experiences of participants. Conclusions Presentation of findings with eloquent quotes serves as the gateway into the sociocultural experiences of individuals. We argued against the norm of providing translated quotes in qualitative reports and build a case for the provision of native as well as English language quotes to promote cross-cultural understanding

A tensor-based distributed discovery of missing association rules on the cloud

An increasing number of data applications such as monitoring weather data, data streaming, data web logs, and cloud data, are going online and are playing vital in our every-day life. The underlying data of such applications change very frequently, especially in the cloud environment. Many interesting events can be detected by discovering such data from different distributed sources and analyzing it for specific purposes (e.g., car accident detection or market analysis). However, several isolated events could be erroneous due to the fact that important data sets are either discarded or improperly analyzed as they contain missing data. Such events therefore need to be monitored globally and be detected jointly in order to understand their patterns and correlated relationships. In the context of current cloud computing infrastructure, no solutions exist for enabling the correlations between multi-source events in the presence of missing data. This paper addresses the problem of capturing the underlying latent structure of the data with missing entries based on association rules. This necessitate to factorize the data set with missing data. The paper proposes a novel model to handle high amount of data in cloud environment. It is a model of aggregated data that are confidences of association rules. We first propose a method to discover the association rules locally on each node of a cloud in the presence of missing rules. Afterward, we provide a tensor based model to perform a global correlation between all the local models of each node of the network. The proposed approach based on tensor decomposition, deals with a multi modal network where missing association rules are detected and their confidences are approximated. The approach is scalable in terms of factorizing multi-way arrays (i.e. tensor) in the presence of missing association rules. It is validated through experimental results which show its significance and viability in terms of detecting missing rules

Proposing the “MIRACLE” narrative framework for providing thick description in qualitative research

Thick description of qualitative findings is critical to improving the transferability of qualitative research findings as it allows researchers to assess their applicability to other contexts and settings. However, what thick description entails and how it should be carried out is often missing or insufficiently described. While expert qualitative researchers may be familiar with the concept, the wide variety of meanings and interpretations of thick description in the literature may make it difficult for novice qualitative researchers to understand this concept when reporting qualitative findings. The purpose of this paper is to propose the “MIRACLE” narrative framework for providing thick description in qualitative research. We developed this framework based on a critical review of theoretical literature about thick description and writing in qualitative research, as well as our personal experiences conducting, writing, and publishing qualitative studies. The proposed framework can be valuable for improving the reporting quality and transferability of qualitative research findings

Vacancy cluster in ZnO films grown by pulsed laser deposition

© 2019, The Author(s). Undoped and Ga-doped ZnO films were grown on c-sapphire using pulsed laser deposition (PLD) at the substrate temperature of 600 °C. Positron annihilation spectroscopy study (PAS) shows that the dominant V Zn -related defect in the as-grown undoped ZnO grown with relative low oxygen pressure P(O 2 ) is a vacancy cluster (most likely a V Zn -nV O complex with n = 2, 3) rather than the isolated V Zn which has a lower formation energy. Annealing these samples at 900 °C induces out-diffusion of Zn from the ZnO film into the sapphire creating the V Zn  at the film/sapphire interface, which favors the formation of vacancy cluster containing relatively more V Zn . Increasing the P(O 2 ) during growth also lead to the formation of the vacancy cluster with relatively more V Zn . For Ga-doped ZnO films, the oxygen pressure during growth has significant influence on the electron concentration and the microstructure of the V Zn -related defect. Green luminescence (GL) and yellow luminescence (YL) were identified in the cathodoluminescence study (CL) study, and both emission bands were quenched after hydrogen plasma treatment. The origin of the GL is discussed

Antibacterial efficacy of indigenous Pakistani honey against extensively drug-resistant clinical isolates of Salmonella enterica serovar Typhi: an alternative option to combat antimicrobial resistance

Abstract Background Extensively drug-resistant (XDR) Salmonella enterica serovar Typhi (S. Typhi) poses a grave threat to public health due to increased mortality and morbidity caused by typhoid fever. Honey is a promising antibacterial agent, and we aimed to determine the antibacterial activity of honey against XDR S. Typhi. Methods We isolated 20 clinical isolates of XDR S. Typhi from pediatric septicemic patients and determined the minimum inhibitory concentrations (MICs) of diferent antibiotics against the pathogens using the VITEK 2 Compact system. Antimicrobial-resistant genes carried by the isolates were identifed using PCR. The antibacterial efcacy of fve Pakistani honeys was examined using agar well difusion assay, and their MICs and minimum bactericidal concentrations (MBCs) were determined with the broth microdilution method. Results All 20 isolates were confrmed as S. Typhi. The antibiogram phenotype was confrmed as XDR S. Typhi with resistance to ampicillin (≥32 µg/mL), ciprofoxacin (≥4 µg/mL), and ceftriaxone (≥4 µg/mL) and sensitivity to azithromycin (≤16 µg/mL) and carbapenems (≤1 µg/mL). Molecular conformation revealed the presence of blaTM-1, Sul1, qnrS, gyrA, gyrB, and blaCTX-M-15 genes in all isolates. Among the fve honeys, beri honey had the highest zone of inhibition of 7–15 mm and neem honey had a zone of inhibition of 7–12 mm. The MIC and MBC of beri honey against 3/20 (15%) XDR S. Typhi isolates were 3.125 and 6.25%, respectively, while the MIC and MBC of neem were 3.125 and 6.25%, respectively, against 3/20 (15%) isolates and 6.25 and 12.5%, respectively, against 7/20 (35%) isolates. Conclusion Indigenous honeys have an efective role in combating XDR S. Typhi. They are potential candidates for clinical trials as alternative therapeutic options against XDR S. Typhi isolates. Keywords Antimicrobial resistance, Natural antibiotics, XDR S. Typhi, MIC, Honey, Resistance gene