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The integration and parallelization of nanopore sensors are essential for improving the throughput of nanopore measurements. Solid-state nanopores traditionally have been used in isolation, which prevents the realization of their full potential in applications. In this study, we present the microfluidic integration of an array of 30 nanopores, which, to our knowledge, is the highest number reported to date. Our microfluidic network was fabricated using high-resolution epoxy photoresists, and the solid-state membranes were bonded through a dry process using complementary surface chemistries. We successfully measured integrated nanopores using external electrodes. This paper discusses the limitations of our methods, particularly concerning microfluidic interfacing and scaling to higher channel counts. Additionally, we present theoretical analysis of current blockades and noise in integrated nanopores, predicting that maintaining low series resistance between the nanopore and electrode is crucial for resolving short events., Comment: 18 pages, 9 figures

Socially Assistive Robots are studied in different Child-Robot Interaction settings. However, logistical constraints limit accessibility, particularly affecting timely support for mental wellbeing. In this work, we have investigated whether online interactions with a robot can be used for the assessment of mental wellbeing in children. The children (N=40, 20 girls and 20 boys; 8-13 years) interacted with the Nao robot (30-45 mins) over three sessions, at least a week apart. Audio-visual recordings were collected throughout the sessions that concluded with the children answering user perception questionnaires pertaining to their anxiety towards the robot, and the robot's abilities. We divided the participants into three wellbeing clusters (low, med and high tertiles) using their responses to the Short Moods and Feelings Questionnaire (SMFQ) and further analysed how their wellbeing and their perceptions of the robot changed over the wellbeing tertiles, across sessions and across participants' gender. Our primary findings suggest that (I) online mediated-interactions with robots can be effective in assessing children's mental wellbeing over time, and (II) children's overall perception of the robot either improved or remained consistent across time. Supplementary exploratory analyses have also revealed that gender affected the children's wellbeing assessments as well as their perceptions of the robot.

The interdisciplinary nature of Child-Robot Interaction (CRI) fosters incorporating measures and methodologies from many established domains. However, when employing CRI approaches to sensitive avenues of health and wellbeing, caution is critical in adapting metrics to retain their safety standards and ensure accurate utilisation. In this work, we conducted a secondary analysis to previous empirical work, investigating the reliability and construct validity of established psychological questionnaires such as the Short Moods and Feelings Questionnaire (SMFQ) and three subscales (generalised anxiety, panic and low mood) of the Revised Child Anxiety and Depression Scale (RCADS) within a CRI setting for the assessment of mental wellbeing. Through confirmatory principal component analysis, we have observed that these measures are reliable and valid in the context of CRI. Furthermore, our analysis revealed that scales communicated by a robot demonstrated a better fit than when self-reported, underscoring the efficiency and effectiveness of robot-mediated psychological assessments in these settings. Nevertheless, we have also observed variations in item contributions to the main factor, suggesting potential areas of examination and revision (e.g., relating to physiological changes, inactivity and cognitive demands) when used in CRI. Findings from this work highlight the importance of verifying the reliability and validity of standardised metrics and assessment tools when employed in CRI settings, thus, aiming to avoid any misinterpretations and misrepresentations.

Despite the large body of research on coalescence, firm agreement between experiment, theory, and computation has not been established for the very earliest times following the initial contact of two liquid volumes. Combining a range of experimental and computational modelling approaches, we have been able to elucidate the influence of the intervening gas, of the van der Waals forces and of thermal fluctuations on coalescence. For simple liquids, the gas influences both pre- and post-contact regimes, with a jump-to-contact the primary mode of merging. Subsequently, wave-like air pockets are observed. For a system with ultralow interfacial tension, that mimics nanodrop behaviour, the very first moments are governed by thermal fluctuations at the interfaces, with a nontrivial opening speed given by stochastic thermally driven motion.