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The purpose of this paper is to present the results of a pilot trial, investigating the accessibility provided by a tablet computer (Apple iPad) to individuals with visual impairment. The study was designed around an N-of-1 randomised controlled trial (RCT), which was replicated for 12 participants. It served as an opportunity to evaluate the use N-of-1 trials in studies involving people who are visually impaired.

The study centred round an N-of-1 RCT, comparing the accessibility provided by control equipment (Windows computer) against the intervention equipment (Apple iPad). Twelve participants conducted six tests on the equipment as per randomisation, followed by a quantitative-based evaluation and short interviews.

One-sided individual randomisation tests showed a significant result for overall satisfaction in favour of the tablet at the 0.05 significance level for seven of the participants. Participants identified several strengths of the iPad in helping a partially sighted user in accessing the internet: inbuilt zoom and magnification options; increased control as a result of the touch screen; and accessibility tools being built into the operating system. The main limitation suggested was the way the zoom function operates by enlarging the onscreen keyboard. This caused difficulties for those with more severe visual impairments using this function in inputting text.

There has been limited research to substantiate positive reviews of the tablet computer for low-vision users. The results of this pilot study gives evidence in support of these potential benefits, and demonstrates the importance of a more thorough investigation.

This chapter provides an insider perspective on the Quantified Self (QS) community. It is argued that the overall approach and methods used in the QS community have not been adequately described. Consequently, the aim of the chapter is to give an account of the work performed by self-trackers in what we coin the 1-Person-Laboratory (1PL). Additionally, the chapter describes other aspects of the 1PL, for example the methods, procedures and instrumentation that are being used and the knowledge sharing taking place in the QS community. With a point of departure in empirical cases it is demonstrated how QS self-trackers put their own questions, observations and subjective experience front and centre by using their own instrumentation and data sets in their personal laboratories. In the 1PL, the causalities that are looked for are not aimed at generalisation to an entire population; on the contrary, the causal connections on the level of the person are essential for discovery by the individual.

This chapter considers the usefulness and validity of public inquiries as a source of data and preliminary interpretation for case study research. Using two contrasting examples – the Bristol Inquiry into excess deaths in a children’s cardiac surgery unit and the Woolf Inquiry into a breakdown of governance at the London School of Economics (LSE) – I show how academics can draw fruitfully on, and develop further analysis from, the raw datasets, published summaries and formal judgements of public inquiries.

Academic analysis of public inquiries can take two broad forms, corresponding to the two main approaches to individual case study defined by Stake: instrumental (selecting the public inquiry on the basis of pre-defined theoretical features and using the material to develop and test theoretical propositions) and intrinsic (selecting the public inquiry on the basis of the particular topic addressed and using the material to explore questions about what was going on and why).

The advantages of a public inquiry as a data source for case study research typically include a clear and uncontested focus of inquiry; the breadth and richness of the dataset collected; the exceptional level of support available for the tasks of transcribing, indexing, collating, summarising and so on; and the expert interpretations and insights of the inquiry’s chair (with which the researcher may or may not agree). A significant disadvantage is that whilst the dataset collected for a public inquiry is typically ‘rich’, it has usually been collected under far from ideal research conditions. Hence, while public inquiries provide a potentially rich resource for researchers, those who seek to use public inquiry data for research must justify their choice on both ethical and scientific grounds.

The design of several electromagnetic devices, such as magnets and transformers, leads to a 3D magnetostatic field analysis. Although such problems can be solved by using vector potential formulations, scalar potential techniques seem to be more efficient because of the reduced number of unknowns they introduce. Even these methods, however, present certain drawbacks, depending on the way the scalar potential is defined: considerable cancellation errors in iron parts, difficulties to simulate multiply connected iron cores, a complicated way to compute a source field distribution.

The entropy and thermal behavior analyses of non-Newtonian nanofluid double-diffusive natural convection inside complex domains may captivate a bunch of scholars’ attention because of the potential utilizations that they possess in modern industries, for example, heat exchangers, solar energy collectors and cooling of electronic apparatuses. This study aims to investigate the second law and thermal behavior of non-Newtonian double-diffusive natural convection (DDNC) of Al₂O₃-H₂O nanofluid within a C-shaped cavity emplacing two hot baffles and impacted by a magnetic field.

For the governing equations of the complicated and practical system with all considered parameters to be solved via a formidable numerical approach, the finite element method acts as an approach to achieving the desired solution. This method allows us to gain a detailed solution to the studied geometry.

This investigation has been executed for the considered parameters of range, such as power-law index, baffle length, Lewis number, buoyancy ratio, Hartmann number and Rayleigh number. The main results reveal that isothermal and concentration lines are significantly more distorted, indicating intensified concentration and temperature distributions because of the growth of baffle length (L). Nu_ave decreases by 8.4% and 0.8% while it enhances by 49.86% and 33.87%, respectively, because of growth in the L from 0.1 to 0.2 and 0.2 to 0.3.

Such a comprehensive study on the second law and thermal behavior of DDNC of Al₂O₃-H₂O nanofluid within a C-shaped cavity emplacing two hot baffles and impacted by magnetic field has not yet been carried out.

Nowadays trace organic pollutants represent a major concern in water treatment systems. Activated carbon has been used for most applications aiming at the reduction of these kind of compounds in aqueous effluents, but regeneration needs and high operation costs led to a renewed interest in the search for alternative sorbents. Pine bark is an excedentary raw material from sawmills in Portugal, and therefore a profitable natural resource that has already been successfully tested in the adsorption of organochlorines from contaminated water. This study aims at characterizing the pine bark surface structurally and chemically, to understand the nature of sorption occurring when a trace organic contaminant is present in aqueous effluents. Pentachlorophenol (PCP) was the trace contaminant used in the experiments. Scanning electron microscopy (SEM), mercury porosimetry, Fourier transform infrared spectroscopy (FTIR) and X‐ray photoelectron spectroscopy (XPS) were the techniques used, in addition to classical chemical analysis and solid phase micro extraction (SPME) prior to gas chromatography with mass spectrometry (GC‐MS) for PCP quantification. The pine bark proved to be a material of very low porosity, low specific surface area, strong carbon aromatic content probably relative to polyphenols and lignin composition. Sorption experiments showed a good correlation for the linear adsorption isotherm, as well as the desorption experiments. In the conditions tested, the average PCP removal after 24 h was above 98 per cent. This material proved to be an encouraging sorbent for cheap water remediation solutions.

There are many important issues arising in the non‐physical sciences which require the investigation of phenomena not, at present, capable of measurement. This paper develops analytical techniques for handling them. Static, dynamic and choice models are considered.

The purpose of this paper is to address the complexity of missing persons cases and highlight the linguistic differences that arise in this type of crime. Missing persons cases are typically very complex investigations. Without a body, crime scene forensics is not possible, and police are often left only with witness and suspect statements. Forensic linguistics methods may help investigators to prioritise or remove suspects. There are many competing approaches in forensic linguistic analysis; however, there is limited empirical research available on emerging methods.

This research investigates Statement Analysis, a recent development in linguistic analysis that has practical applications in criminal investigations. Real-world statements of individuals convicted of or found to be not guilty of their involvement in missing persons cases were used in the analyses. In addition, Behaviour Sequence Analysis was used to map the progressions of language in the suspects' statements.

Results indicated differences between the guilty and innocent individuals based on their language choices, for example, guilty suspects in missing [alive] cases were found more likely to use passive language and vague words because of high levels of cognitive load associated with the several types of guilty knowledge suspects in missing persons cases possess. Of particular interest is the use of untruthful words in the innocent suspects’ statements in missing [murdered] cases. While typically seen in deceptive statements, untruthful words in innocent statements may result because of false acquittals.

This research provides some support for Statement Analysis as a suitable approach to analysing linguistic statements in missing persons cases.