Supporting Accurate Interpretation of Self-Administered Medical Test Results for Mobile Health: Assessment of Design, Demographics, and Health Condition

Background: Technological advances in personal informatics allow people to track their own health in a variety of ways, representing a dramatic change in individuals’ control of their own wellness. However, research regarding patient interpretation of traditional medical tests highlights the risks in making complex medical data available to a general audience. Objective: This study aimed to explore how people interpret medical test results, examined in the context of a mobile blood testing system developed to enable self-care and health management. Methods: In a preliminary investigation and main study, we presented 27 and 303 adults, respectively, with hypothetical results from several blood tests via one of the several mobile interface designs: a number representing the raw measurement of the tested biomarker, natural language text indicating whether the biomarker’s level was low or high, or a one-dimensional chart illustrating this level along a low-healthy axis. We measured respondents’ correctness in evaluating these results and their confidence in their interpretations. Participants also told us about any follow-up actions they would take based on the result and how they envisioned, generally, using our proposed personal health system. Results: We find that a majority of participants (242/328, 73.8%) were accurate in their interpretations of their diagnostic results. However, 135 of 328 participants (41.1%) expressed uncertainty and confusion about their ability to correctly interpret these results. We also find that demographics and interface design can impact interpretation accuracy, including false confidence, which we define as a respondent having above average confidence despite interpreting a result inaccurately. Specifically, participants who saw a natural language design were the least likely (421.47 times, P=.02) to exhibit false confidence, and women who saw a graph design were less likely (8.67 times, P=.04) to have false confidence. On the other hand, false confidence was more likely among participants who self-identified as Asian (25.30 times, P=.02), white (13.99 times, P=.01), and Hispanic (6.19 times, P=.04). Finally, with the natural language design, participants who were more educated were, for each one-unit increase in education level, more likely (3.06 times, P=.02) to have false confidence. Conclusions: Our findings illustrate both promises and challenges of interpreting medical data outside of a clinical setting and suggest instances where personal informatics may be inappropriate. In surfacing these tensions, we outline concrete interface design strategies that are more sensitive to users’ capabilities and conditions

Vero: A Method for Remotely Studying Human-AI Collaboration

Despite the recognized need in the IS community to prepare for a future of human-AI collaboration, the technical skills necessary to develop and deploy AI systems are considerable, making such research difficult to perform without specialized knowledge. To make human-AI collaboration research more accessible, we developed a novel experimental method that combines a video conferencing platform, controlled content, and Wizard of Oz methods to simulate a group interaction with an AI teammate. Through a case study, we demonstrate the flexibility and ease of deployment of this approach. We also provide evidence that the method creates a highly believable experience of interacting with an AI agent. By detailing this method, we hope that multidisciplinary researchers can replicate it to more easily answer questions that will inform the design and development of future human-AI collaboration technologies

Placemaking in Metro East Springfield - Creating a Landscape Framework

PLACEMAKING IN METRO EAST SPRINGFIELD - Creating a Landscape Framework Placemaking in Metro East Springfield – Creating a Landscape Framework provides strategies to use the landscape as a framework for rebuilding community in a downtown urban area that has “good bones” but has been neglected and overlooked for decades. A catalyst for the development of project area is the recent acquisition of the historical 1916 Willys Overland building through a developer. The Graduate Urban Design Studio 2018 developed five proposals for urban revitalization in the area that are centered on the landscape. The programming of the proposals was developed in collaboration with neighborhood representatives and stakeholders of the area. The public response was very positive and the project got recognized in the local press and media. The Landscape Framework is interwoven with cultural activities such as public art and education, new opportunities for small neighborhood commerce, future employment and possibilities for new housing. The Landscape Framework will bring expand urban greening and will reduce heat island effects to reduce the impact of climate change. The presented Landscape Framework will guide the future of the area as overlapping and simultaneous measures. They encompass: Tangible tactile interventions on streets, facades and underutilized lots that change the perception of the landscape at low cost but are highly effective. New parks that create areas for recreation and contemplation. Greenway promenades connect to shorten long blocks and create a network to the neighboring residential areas. Establishment of urban agriculture activities to build community, provide food security and education. Collaboration with existing organizations in Springfield that are actively involved with urban agriculture: Gardening the Community (GTC) Springfield, Wellspring Harvest first commercial hydroponic greenhouse, UMass Extension and UMass Permaculture, Springfield Technical Community College (STCC). Walkable streets through extensive street tree plantings, widening of sidewalks, adding bicycle lanes and introducing shared multi-functional streets for community events. Stormwater Management through bioswales along streets, green roofs, larger infiltration areas in new parks and porous pavement. Promotion of alternative stormwater management through education and artistic interventions. People want to connect culturally and socially. Creating a sense of place, common ownership, and connectivity are a vital part of a sustainable community. This includes: Complimentary cultural, art, craft and education at new Maker-Spaces. Daycare Center and other childcare services. Outdoor pop-up business opportunities for food vendors such as food carts and trucks. Indoor pop-up business opportunities in abandoned or underutilized buildings. Adaptive reuse of existing architecture and infill. Diversification of housing market with inclusion of market-rate housing to create a more balanced economy. Legal framework through zoning changes and permitting that supports small businesses, reduces bureaucratic burdens and secures public open green space

Global reorganization of deep-sea circulation and carbon storage after the last ice age

Funding information: This work was supported by grants from the National Science Foundation (OCE-2015647 and OCE-2032340 to PAR; OCE- 2032343 to MPH); NERC grant NE/N011716/1 to JWBR and NERC grant NE/M004619/1 to AB.Using new and published marine fossil radiocarbon (14C/C) measurements, a tracer uniquely sensitive to circulation and air-sea gas exchange, we establish several benchmarks for Atlantic, Southern, and Pacific deep-sea circulation and ventilation since the last ice age. We find the most 14C-depleted water in glacial Pacific bottom depths, rather than the mid-depths as they are today, which is best explained by a slowdown in glacial deep-sea overturning in addition to a “flipped” glacial Pacific overturning configuration. These observations cannot be produced by changes in air-sea gas exchange alone, and they underscore the major role for changes in the overturning circulation for glacial deep-sea carbon storage in the vast Pacific abyss and the concomitant drawdown of atmospheric CO2.Publisher PDFPeer reviewe

A Polymorphic Variant of AFAP-110 Enhances cSrc Activity12

Enhanced expression and activity of cSrc are associated with ovarian cancer progression. Generally, cSrc does not contain acti- vating mutations; rather, its activity is increased in response to signals that affect a conformational change that releases its auto- inhibition. In this report, we analyzed ovarian cancer tissues for the expression of a cSrc-activating protein, AFAP-110. AFAP-110 activates cSrc through a direct interaction that releases it from its autoinhibited conformation. Immunohistochemical analysis re- vealed a concomitant increase of AFAP-110 and cSrc in ovarian cancer tissues. An analysis of the AFAP-110 coding sequence revealed the presence of a nonsynonymous, single-nucleotide polymorphism that resulted in a change of Ser403 to Cys403. In cells that express enhanced levels of cSrc, AFAP-110403C directed the activation of cSrc and the formation of podosomes indepen- dently of input signals, in contrast to wild-type AFAP-110. We therefore propose that, under conditions of cSrc overexpression, the polymorphic variant of AFAP-110 promotes cSrc activation. Further, these data indicate a mechanism by which an inherited genetic variation could influence ovarian cancer progression and could be used to predict the response to targeted therapy

Photospheric observations of surface and body modes in solar magnetic pores

Over the past number of years, great strides have been made in identifying the various low-order magnetohydrodynamic wave modes observable in a number of magnetic structures found within the solar atmosphere. However, one aspect of these modes that has remained elusive, until now, is their designation as either surface or body modes. This property has significant implications for how these modes transfer energy from the waveguide to the surrounding plasma. Here, for the first time to our knowledge, we present conclusive, direct evidence of these wave characteristics in numerous pores that were observed to support sausage modes. As well as outlining methods to detect these modes in observations, we make estimates of the energies associated with each mode. We find surface modes more frequently in the data, as well as that surface modes appear to carry more energy than those displaying signatures of body modes. We find frequencies in the range of ~2–12 mHz, with body modes as high as 11 mHz, but we do not find surface modes above 10 mHz. It is expected that the techniques we have applied will help researchers search for surface and body signatures in other modes and in differing structures from those presented here

EuroTracker dyes: highly emissive europium complexes as alternative organelle stains for live cell imaging

Nine very bright europium(III) complexes with different macrocyclic ligands have been prepared that exhibit excellent cell uptake behaviour and distinctive sub-cellular localisation profiles, allowing the use of fluorescence microscopy and time-gated spectral imaging to track their fate in cellulo. Their use as cellular imaging stains is described for the selective illumination of mitochondria, lysosomes or the endoplasmic reticulum of various mammalian cell types

A library of quantitative markers of seizure severity

OBJECTIVE: Understanding fluctuations in seizure severity within individuals is important for determining treatment outcomes and responses to therapy, as well as assessing novel treatments for epilepsy. Current methods for grading seizure severity rely on qualitative interpretations from patients and clinicians. Quantitative measures of seizure severity would complement existing approaches, for electroencephalographic (EEG) monitoring, outcome monitoring, and seizure prediction. Therefore, we developed a library of quantitative EEG markers that assess the spread and intensity of abnormal electrical activity during and after seizures. METHODS: We analysed intracranial EEG (iEEG) recordings of 1009 seizures from 63 patients. For each seizure we computed 16 markers of seizure severity that capture the signal magnitude, spread, duration, and post-ictal suppression of seizures. RESULTS: Quantitative EEG markers of seizure severity distinguished focal vs. subclinical seizures across patients. In individual patients 53% had a moderate to large difference (ranksum r>0.3, p<0.05) between focal and subclinical seizures in three or more markers. Circadian and longer-term changes in severity were found for the majority of patients. SIGNIFICANCE: We demonstrate the feasibility of using quantitative iEEG markers to measure seizure severity. Our quantitative markers distinguish between seizure types and are therefore sensitive to established qualitative differences in seizure severity. Our results also suggest that seizure severity is modulated over different timescales. We envisage that our proposed seizure severity library will be expanded and updated in collaboration with the epilepsy research community to include more measures and modalities. © 2023 International League Against Epilepsy

The ENIGMA Stroke Recovery Working Group: Big data neuroimaging to study brain–behavior relationships after stroke

The goal of the Enhancing Neuroimaging Genetics through Meta‐Analysis (ENIGMA) Stroke Recovery working group is to understand brain and behavior relationships using well‐powered meta‐ and mega‐analytic approaches. ENIGMA Stroke Recovery has data from over 2,100 stroke patients collected across 39 research studies and 10 countries around the world, comprising the largest multisite retrospective stroke data collaboration to date. This article outlines the efforts taken by the ENIGMA Stroke Recovery working group to develop neuroinformatics protocols and methods to manage multisite stroke brain magnetic resonance imaging, behavioral and demographics data. Specifically, the processes for scalable data intake and preprocessing, multisite data harmonization, and large‐scale stroke lesion analysis are described, and challenges unique to this type of big data collaboration in stroke research are discussed. Finally, future directions and limitations, as well as recommendations for improved data harmonization through prospective data collection and data management, are provided