Exploring using NVivo software to facilitate inductive coding for thematic narrative synthesis

Background The author conducted a review on how power and hierarchy affect staff safety in maternity services, using a narrative synthesis of staff voices from relevant literature. The review was coded using NVivo software. This article aims to evaluate NVivo as a tool for thematic narrative synthesis. Methods Selected papers were coded inductively using NVivo software, a subjective idealist approach to knowledge where iteration is achieved at the coding and synthesis stages of the process. Results NVivo proved to be a versatile tool; the imported files could be word or pdf, the import tab made it possible to upload images and audio files and information could be transferred from OneNote, Outlook and bibliographic software such as Endnote and RefWorks. NVivo software provided numerous options to explore data within different tabs. Users could create relationships between files and there were opportunities to display the findings in word clouds, hierarchies and clusters. Conclusions NVivo was a user-friendly tool for a novice user, facilitating coding for thematic narrative synthesis. A discussion of the review findings were explored in a previous article.

Enhancing Creative Redesign through Multi-Modal Design Heuristics for Additive Manufacturing

When designing for Additive Manufacturing (AM), designers often need assistance in breaking out of their conventional manufacturing mind-set. Previously, Blösch-Paidosh and Shea (2019) derived Design Heuristics for AM (DHAM) to assist designers in doing this during the early phases of the design process. This work proposes a set of 25 multi-modal cards and objects to accompany each of the Design Heuristics for AM and studies their effect through a series of controlled, novice user studies conducted using both teams and individuals who redesign a city E-Bike. The resulting AM concepts are analyzed in terms of the quantity of design modifications relevant for AM, AM-flexibility, novelty, and variety. It is found that the DHAM cards and objects increase the inclusion of AM concepts, AM modifications, and the unique capabilities of AM in the concepts generated by both individuals and teams. They also increase the creativity of the concepts generated by both individuals and teams, as measured through a series of defined metrics. Further, the objects in combination with the cards are more effective at stimulating the generation of a wider variety of designs than the cards alone. Future work will focus on studying the use of the DHAM cards and objects in an industrial setting.

Structuring Natural Language to Query Language: A Review

SQL (Structured Query Language) is a structured language for specialized purposes used to communicate with the data stored in a database management system. It uses dynamic and sophisticated query commands for processing and controlling data in a database, which can become an obstacle for users with no previous experience. In order to address this constraint, we have analyzed the existing models in Natural Language Processing, which convert a native-language query into an SQL query. Thus, any novice user can use the SQL program and eliminate the need to generate any complex queries. This work is a detailed survey of the existing literature.

Fuzzy Ontology-Based Querying User' Requests Under Uncertain Environment

Assistance with the use of technical devices is required as soon as the tasks to be performed become complex. This assistance is also needed as soon as the authors provide assistance to users to find solutions to incidents that occur during the application of unsuitable procedures. The goal of this work is then to provide a knowledge extraction approach that can interpret user requests into valid system requests to respond appropriately to novice user requests. This approach is based on a fuzzy semantic network for the modeling of imprecise and uncertain knowledge and the automatic construction of temporary fuzzy ontology for the identification and interpretation of user requests. The proposed approach has the advantage of being able to integrate the notion of uncertain and imprecise knowledge into the representation of system objects and procedures. The experimental results show the efficiency and the effectiveness of the approach.

Detection of Phishing Attacks using Content Analysis in the Cloud

In the world of internet and technology, technical advancement is widely accepted by both types of users - with and without technical knowledge. Advancement in technologies also brings in different risks involved along with it. These risks involve risks of being compromised at any point of time, leading to identity theft or financial loss or loss of very confidential information. Phishing attacks are one such kind of attack which can trap anyone into it, let it be a novice user or a sophisticated user. This paper involves what phishing attacks are, how the phishers target cloud services, how they deceive users, how the phishers send phish sites to its target. It also includes the background process that happens in normal scenarios and during phishing, a proposed mechanism which can be used for detection, safety measures which if taken can reduce the chances of falling in the trap and mechanisms used by researchers in order to detect and prevent phishing sites.

Applied Biophysical Methods in Fragment-Based Drug Discovery

Fragment-based drug discovery (FBDD) has come of age in the last decade with the FDA approval of four fragment-derived drugs. Biophysical methods are at the heart of hit discovery and validation in FBDD campaigns. The three most commonly used methods, thermal shift, surface plasmon resonance, and nuclear magnetic resonance, can be daunting for the novice user. We aim here to provide the nonexpert user of these methods with a summary of problems and challenges that might be faced, but also highlight the potential gains that each method can contribute to an FBDD project. While our view on FBDD is slightly biased toward enabling structure-guided drug discovery, most of the points we address in this review are also valid for non-structure-focused FBDD.

Hosting Inspec on Engineering Village or Web of Science

Purpose As library budgets continue to constrict, librarians will need to become more familiar with comparing database host platforms. This paper aims to compare Inspec on Elsevier’s Engineering Village (EV) and Clarivate’s Web of Science (WOS) from a novice user experience. The main objectives are to identify some R1 institutions that subscribe to Inspec and highlight some of the key differences between the two platforms. Design/methodology/approach Information on Inspec was gathered from various sources such as the home website, IET, and the host platform websites of Elsevier and Clarivate Analytics. Additional evidence was also collected from brochures and guides to help illustrate some of the main features and differences that novice users would be familiar with. Findings Most institutions subscribe to Inspec via the EV platform. Results from the study conclude that EV was the choice over WOS for hosting Inspec owing to a more user-friendly interface, potential lower cost and faster platform updates in response to meeting user needs. Research limitations/implications As database platforms change over time, feature areas such as content, interface and features remain important for information professionals and librarians to stay current with those changes. Also, this work can help librarians with understanding the planning and developing of a process for comparing identical or similar databases on different platforms. Originality/value Much of the literature focuses on the unfamiliar details and not so much on the novice user. This paper provides a unique perspective in how a novice user would prefer the attributes of one host platform over the other. Additionally, the same review criteria can be applied in other subjects and disciplines.