Re-Inhabiting Inner Areas Triggering New Regeneration Trajectories: The Case Study of Sicani in Sicily

The Italian debate on the so-called ‘inner areas’ has received a much-needed boost, following the COVID-19 pandemic, which has further highlighted the differences between metropolitan and inner areas. While the progressive depopulation of inner areas is a worrying phenomenon, the limits of incessant urbanisation and the concentration of settlement and infrastructure policies in large conurbations have become evident. Departing from the framework of the B4R-Branding4Resilience research project of national interest and, by continuing in the furrow initiated by the SNAI, but also surpassing it, the aim of the University of Palermo’s research is to define the requirement for a more inclusive settlement model in the Sicani area in Sicily (Italy) to re-balance existing asymmetries by recharging peripheral areas with new centrality. The aims of the research are to demonstrate that inner areas could be an engine for innovation, thereby outlining a roadmap through which to encourage the resilience of new sustainable lifestyles. These aims would be achieved by working on new perspectives and projects, which are capable of radically modifying production, consumption, and tourism dynamics and work/life models, and which are gleaned from a study regarding the Sicani area in Sicily. The paper discusses case study quantitative and qualitative analyses and first results.

The "Tau" of Science - How to Measure, Study, and Integrate Quantitative and Qualitative Knowledge

Scientists' ability to integrate diverse forms of evidence and evaluate how well they can explain and predict phenomena, in other words, $\textit{to know how much they know}$, struggles to keep pace with technological innovation. Central to the challenge of extracting knowledge from data is the need to develop a metric of knowledge itself. A candidate metric of knowledge, $K$, was recently proposed by the author. This essay further advances and integrates that proposal, by developing a methodology to measure its key variable, symbolized with the Greek letter $\tau$ ("tau"). It will be shown how a $\tau$ can represent the description of any phenomenon, any theory to explain it, and any methodology to study it, allowing the knowledge about that phenomenon to be measured with $K$.To illustrate potential applications, the essay calculates $\tau$ and $K$ values of: logical syllogisms and proofs, mathematical calculations, empirical quantitative knowledge, statistical model selection problems, including how to correct for "forking paths" and "P-hacking" biases, randomised controlled experiments, reproducibility and replicability, qualitative analyses via process tracing, and mixed quantitative and qualitative evidence.Whilst preliminary in many respects, these results suggest that $K$ theory offers a meaningful understanding of knowledge, which makes testable metascientific predictions, and which may be used to analyse and integrate qualitative and quantitative evidence to tackle complex problems.

Fourier transform infra-red spectroscopy to determine formaldehyde to phenol ratio of phenol formaldehyde resole

A model has been proposed to determine the formaldehyde (F) to phenol (P) ratio [F/P] of resole with the help of Fourier transform infra-red spectroscopy. The study is based on the comparison of IR absorbance of the dominant peaks corresponding to the formaldehyde and phenol contents in the resin. This study can be of much use in adhesive coating industries to employ the F/P ratio as a quality tool as well as for competition resin benchmarking. It can also be utilized for understanding the kinetics of the reactions between phenol and formaldehyde. Detailed qualitative analyses of various resoles with different formulations have been discussed in this paper, which can be of potential help for the standard analysis of the commercial resins. The validation of results confirms that the most fitting model offers an error less than 7%. Interestingly, this model can also be applied with blends of different Phenol formaldehyde resoles.

Personal Diary Method

There is a growing interest towards using diaries as a tool of data collection for gathering information pertaining to consumer research. However, the bigger challenge is the qualitative analysis of the data collected through this technique. Hence, the objective of the chapter is to illustrate how diary method of data collection can be a better option than other data collection tools in cases where the informants are likely to experience difficulties in recalling past consumption experience. To delineate the steps and different types of codes used in inductive content analysis to analyze the qualitative data collected through the personal diary method, the chapter will also present an exploratory study with airline consumers using self-completion diaries about their online ticket purchasing experience followed by qualitative analyses of this information collected through diary using inductive content analysis. Each step of the content analysis will be illustrated in the full chapter.

Remote Follow-up of Self-isolating COVID-19 Patients with a Patient Portal: Protocol for a Mixed-method Pilot Study (The Opal-COVID Study) (Preprint)

BACKGROUND Individuals diagnosed with COVID-19 are instructed to self-isolate at home. However, during self-isolation, they may experience anxiety and insufficient care. Some patient portals can allow patients to self-monitor and share their health status with healthcare professionals for remote follow-up, but little data is available on the feasibility of their use. OBJECTIVE This manuscript presents the protocol of the Opal-COVID Study which has four objectives: 1) assess the implementation of using the Opal patient portal for distance monitoring of COVID-19 patients self-isolating at home; 2) identify influences on the intervention’s implementation; and describe 3) service and 4) patient outcomes of this intervention. METHODS This mixed-method pilot study aims to recruit 50 COVID-19 patient participants tested at the McGill University Health Centre (MUHC, Montreal, Canada) for 14 days of remote follow-up. With access to questionnaires through the Opal patient portal smartphone app, configured for this study, patients will complete a daily self-assessment of symptoms, vital signs, and mental health, monitored by a nurse, and receive subsequent teleconsultations, as needed. Study questionnaires will be administered to collect data on sociodemographic characteristics, medical background, implementation outcomes (acceptability, usability, and respondent burden) and patient satisfaction. Coordinator logbook entries will inform on feasibility outcomes, namely, recruitment/retention rates and fidelity, as well as on the frequency and nature of contacts with healthcare professionals via Opal. The statistical analyses for Objectives 1 (implementation outcomes), 3 (service outcomes), and 4 (patient outcomes) will evaluate the effects of time and sociodemographic characteristics on the outcomes. For Objectives 1 (implementation outcomes) and 4 (patient outcomes), the statistical analyses will also examine the attainment of predefined success thresholds. As to the qualitative analyses, for Objective 2 (influences on implementation), semi-structured qualitative interviews will be conducted with four groups of stakeholders (i.e., patient participants, healthcare professionals, technology developers and study administrators) and submitted to content analysis, guided by the Consolidated Framework for Implementation Research to help identify barriers and facilitators of implementation. For Objective 3 (service outcomes), reasons for contacting healthcare professionals through Opal will also be submitted to content analysis. RESULTS Between December 2020 and March 2021, 51 patient-participants were recruited. Qualitative interviews were conducted with 39 involved stakeholders, from April to September 2021. Delays in the study process were experienced due to implemented measures at the MUHC to address COVID-19 but the quantitative and qualitative analyses are currently underway. CONCLUSIONS This protocol is designed to generate multidisciplinary knowledge on the implementation of a patient portal-based COVID-19 care intervention and will lead to a comprehensive understanding of feasibility, stakeholder experience, and influences on implementation that may prove useful for scaling up similar interventions. CLINICALTRIAL ClinicalTrials.gov identifier NCT04978233.

Using Photographs in Mixed Methods Research: An Illustration Integrating Quantitative and Qualitative Analyses from Consumer Research

Photograph analysis poses a novel methodological challenge for mixed methods researchers. In this paper, we argue that photographs are a valid data source that are not outside of the quantitative–qualitative binary and, hence, can be analyzed and used for integration, applying mixed methods principles. We summarize photograph analysis methods from different scientific fields and contribute to the field of mixed methods by proposing a mixed methods framework for analyzing visual data that allows the flexible application and integration of different quantitative and qualitative photograph analysis methods by focusing on data transformation. We use an illustrative example from consumer research.

Optimal categorisation

The debate as to whether language influences cognition has been long standing but has yielded conflicting findings across domains such as colour and kinship categories. Fewer studies have investigated systems such as nominal classification (gender, classifiers) across different languages to examine the effects of linguistic categorisation on cognition. Effective categorisation needs to be informative to maximise communicative efficiency but also simple to minimise cognitive load. It therefore seems plausible to suggest that different systems of nominal classification have implications for the way speakers conceptualise relevant entities. A suite of seven experiments was designed to test this; here we focus on our card sorting experiment, which contains two sub-tasks — a free sort and a structured sort. Participants were 119 adults across six Oceanic languages from Vanuatu and New Caledonia, with classifier inventories ranging from two to 23. The results of the card sorting experiment reveal that classifiers appear to provide structure for cognition in tasks where they are explicit and salient. The free sort task did not incite categorisation through classifiers, arguably as it required subjective judgement, rather than explicit instruction. This was evident from our quantitative and qualitative analyses. Furthermore, the languages employing more extreme categorisation systems displayed smaller variation in comparison to more moderate systems. Thus, systems that are more informative or more rigid appear to be more efficient. The study implies that the influence of language on cognition may vary across languages, and that not all nominal classification systems employ this optimal trade-off between simplicity and informativeness. These novel data provide a new perspective on the origin and nature of nominal classification.

COVID-19 Lockdown Measures: Impact On Older Adults With Dementia And Their Caregivers In Singapore

Family caregivers typically rely on community-based services and social support networks to supplement their caregiving of older adults with dementia (OAwD). In April 2020, the Singapore government implemented a partial lockdown to contain the spread of COVID-19. We assessed the policy's impact on the physical and mental health of caregivers and their OAwD. As part of a larger study, 30 caregivers were interviewed and rated the stress they experienced when caring for an OAwD during the partial lockdown. Qualitative analyses found significant behavioral changes in OAwD such as irritability, aggression and hallucinations, which led some caregivers to believe their dependents’ condition had deteriorated, as well as heightened levels of caregiving stress. Overall, our preliminary results suggested that although social distancing measures may be effective in containing the spread of COVID-19, these measures could lead to negative outcomes on vulnerable populations such as OAwD and their caregivers.

Development of a Staff Informant Measure of Lucidity

Lucidity Measure Development: An existing questionnaire measuring lucidity length, degree, content, coinciding circumstances, and time from lucid episode to death was expanded to include time of day, expressive and receptive communication and speech the month prior to and during the lucid event. Pilot Study: 33 interviews with staff were conducted; 73% reported ever witnessing paradoxical lucidity. Among 29 events reported, 31% lasted several days, 20.7%, 1 day, and 24.1% less. In 78.6% the patient engaged in unexpected activity. 20% died within 3 days and 17% within 3 months after the event. Qualitative Analyses: To refine the measure, 10 family caregivers and 20 LTSS staff caregivers completed a web-based focus-group type exercise using QualtricsXM. A content-thematic analysis with an inductive approach was applied to make qualitative inferences by analyzing the meaning and semantic relationship of words, phrases, and concepts. Using the reduction method of selection, conceptual content categories will be developed.