PRISM 2.0: A Technology System to Support Resource Access and Social and Cognitive Engagement

Social isolation and lack of engagement are common among older adults and present a risk for emotional, physical and cognitive decline. Technology offers the potential of remediating these risks and enhancing opportunities for connectivity. In this paper we present an overview of the PRISM 2.0 multi-site RCT, which evaluated a simple to use Personalized Reminder Information and Social Management System (PRISM) among a sample of two hundred and forty-eight adults age 65+ in diverse contexts (Rural Locations, Assisted Living Communities and Senior Housing). PRISM 2.0 is a tablet-based system, intended to provide support for access to resources and information, new learning, social and cognitive engagement, and memory. We describe the goals and content of PRISM, the user-centered design process, and measurement strategies. We also discuss the challenges of conducting the trial during the COVID-19 pandemic and the strategies used to adapt the trial protocol within the three contexts.

Comparative Politics in Borderlands: Actors, Identities, and Strategies

Comparativists are increasingly researching national border regions. Yet the distinct way in which proximity to borders independently shapes politics is rarely theorized explicitly. Drawing on the emerging subdiscipline of border studies, we identify three types of border effects: Borders involve specific actors, shape local identities, and provide distinct strategies, each of which directly affects key areas of comparative politics. An in-depth review of work on political violence and state formation shows that specifying these effects ( a) demands that comparativists consider the ways in which borderlands differ from other regions and be careful in attributing processes found there to nations as a whole, ( b) improves theories by elucidating scope conditions, and ( c) scrutinizes the validity of our research designs and measurement strategies. We end with a call to move from a comparative politics in border regions to a comparative politics of border regions that contextualizes how borders alter political processes. Expected final online publication date for the Annual Review of Political Science, Volume 25 is May 2022. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

Measurement Strategies for the Classification of Edible Oils Using Low-Cost Miniaturised Portable NIR Instruments

Miniaturised near-infrared (NIR) instruments have been increasingly used in the last few years, and they have become useful tools for many applications on different types of samples. The market already offers a wide variety of these instruments, each one having specific requirements for the correct acquisition of the instrumental signal. This paper presents the development and optimisation of different measuring strategies for two miniaturised NIR instruments in order to find the best measuring conditions for the rapid and low-cost analysis of olive oils. The developed strategies have been applied to the classification of different samples of olive oils, obtaining good results in all cases.

Enhanced discrimination of high-dimensional quantum states by concatenated optimal measurement strategies

The impossibility of deterministic and error-free discrimination among nonorthogonal quantum states lies at the core of quantum theory and constitutes a primitive for secure quantum communication. Demanding determinism leads to errors, while demanding certainty leads to some inconclusiveness. One of the most fundamental strategies developed for this task is the optimal unambiguous measurement. It encompasses conclusive results, which allow for error-free state retrodictions with the maximum success probability, and inconclusive results, which are discarded for not allowing perfect identifications. Interestingly, in high-dimensional Hilbert spaces the inconclusive results may contain valuable information about the input states. Here, we theoretically describe and experimentally demonstrate the discrimination of nonorthogonal states from both conclusive and inconclusive results in the optimal unambiguous strategy, by concatenating a minimum-error measurement at its inconclusive space. Our implementation comprises 4- and 9-dimensional spatially encoded photonic states. By accessing the inconclusive space to retrieve the information that is wasted in the conventional protocol, we achieve significant increases of up to a factor of 2.07 and 3.73, respectively, in the overall probabilities of correct retrodictions. The concept of concatenated optimal measurements demonstrated here can be extended to other strategies and will enable one to explore the full potential of high-dimensional nonorthogonal states for quantum communication with larger alphabets.

The Measurement of Food Insecurity in High-Income Countries: A Scoping Review

The measurement of food insecurity is essential to monitor the prevalence, risk factors, consequences and effects of food insecurity and the interventions and policies implemented to tackle it. Yet, how best to apply it remains an unsettled issue due to the multifaceted and context-dependent nature of food insecurity. We report a scoping review of measures of food insecurity at the individual and household level in high-income countries with the final purpose of facilitating a catalogue of instruments to be used by both researchers and practitioners. The scoping review was conducted following the methodological framework of Arksey and O’Malley and the Joanna Briggs Institute guidelines. We included all types of documents published between 2000–2020 using instruments that estimate food insecurity at both individual and household level in high-income countries, and with respondents including adolescents, adults, and elderly. We identified a total of 23 measurement strategies being used in 33 peer-reviewed publications and 114 documents from the grey literature. Our results show that most measures focus on the access dimension of food insecurity and that further research is required to develop measures that incorporate aspects of quality of dietary intake and relevant individual, household and social conditions related to food insecurity.

ALWAES

For an online delivery platform, accurate physical locations of merchants are essential for delivery scheduling. It is challenging to maintain tens of thousands of merchant locations accurately because of potential errors introduced by merchants for profits (e.g., potential fraud). In practice, a platform periodically sends a dedicated crew to survey limited locations due to high workforce costs, leaving many potential location errors. In this paper, we design and implement ALWAES, a system that automatically identifies and corrects location errors based on fundamental tradeoffs of five measurement strategies from manual, physical, and virtual data collection infrastructures for online delivery platforms. ALWAES explores delivery data already collected by platform infrastructures to measure the travel time of couriers between merchants and verify all merchants' locations by cross-validation automatically. We explore tradeoffs between performance and cost of different measurement approaches. By comparing with the manually-collected ground truth, the experimental results show that ALWAES outperforms three other baselines by 32.2%, 41.8%, and 47.2%, respectively. More importantly, ALWAES saves 3,846 hours of the delivery time of 35,005 orders in a month and finds new erroneous locations that initially were not in the ground truth but are verified by our field study later, accounting for 3% of all merchants with erroneous locations.

Optoelectronic Instrumentation and Measurement Strategies for Optical Chemical (Bio)Sensing

There is a growing interest in the development of sensitive, portable, and low-cost instrumentation for optical chemical (bio)sensing. Such instrumentation can allow real-time decision-making for industry, farmers, and researchers. The combination of optical fiber schemes, luminescence spectroscopy techniques, and new materials for sensor immobilization has allowed the growth of optical sensors. This article focuses on the development of low-cost optoelectronic instrumentation and measurement strategies for optical chemical (bio)sensing. Most of the articles in this field have focused on the chemical sensors themselves, although few have covered the design process for optoelectronic instrumentation. This article tries to fill this gap by presenting designs for real applications, as carried out by the authors. We also offer an introduction to the optical devices and optical measurement techniques used in this field to allow a full understanding of the applications.

Making Inferences from Index Numbers (1860–1914)

Index numbers are indirect measurements as well as composite quantities that present particular inferential challenges to the measurer and their intended audiences. The early history of the use of index numbers in British economics (ca. 1860–1914) shows that making inferences using this measuring instrument was rife with problems. Economists grappled with multiple “inferential gaps” in order to make inferences from index numbers. The extent to which these gaps could be bridged depended on the theoretical frameworks and measurement strategies used. However, it is also evident that some inferential issues confronting economists were ideological or political in nature. Two case studies are examined, Stanley Jevons’s price index and the Board of Trade’s cost-of-living index, that sharpen the focus on the accuracy of index numbers. What did index numbers really capture about the deterioration of the monetary standard or standard of living of the working classes? By situating the index numbers within the broader ecology in which they were constructed, the article shows that making inferences was not just a heuristic process (one that eliminated gaps by getting the estimations right) but a cognitive one as well (one that people could accept as being “fit for purpose”).

Modulation of Pulse Propagation and Blood Flow via Cuff Inflation—New Distal Insights

In standard critical care practice, cuff sphygmomanometry is widely used for intermittent blood pressure (BP) measurements. However, cuff devices offer ample possibility of modulating blood flow and pulse propagation along the artery. We explore underutilized arrangements of sensors involving cuff devices which could be of use in critical care to reveal additional information on compensatory mechanisms. In our previous work, we analyzed the response of the vasculature to occlusion perturbations by means of observations obtained non-invasively. In this study, our aim is to (1) acquire additional insights by means of invasive measurements and (2) based on these insights, further develop cuff-based measurement strategies. Invasive BP experimental data is collected downstream from the cuff in two patients monitored in the OR. It is found that highly dynamic processes occur in the distal arm during cuff inflation. Mean arterial pressure increases in the distal artery by 20 mmHg, leading to a decrease in pulse transit time by 20 ms. Previous characterizations neglected such distal vasculature effects. A model is developed to reproduce the observed behaviors and to provide a possible explanation of the factors that influence the distal arm mechanisms. We apply the new findings to further develop measurement strategies aimed at acquiring information on pulse arrival time vs. BP calibration, artery compliance, peripheral resistance, artery-vein interaction.