Tangibly Reducing Sedentariness in Office Workers

It is claimed sedentariness is as much a threat to long- term health as smoking or unhealthy eating, and is not mitigated by bursts of physical activity. Desk bound office workers are particularly vulnerable to this risk, given the inherently sedentary nature of their roles. To tackle this problem in HCI, we have focused largely on smartphones apps whilst embracing a general trend towards automating data collection of behavior. We argue that placing technologies in the environment, leveraging ambient displays and Tangible User Interfaces (TUIs), can offer a more effective approach for tackling sedentary behaviors in an office environment. We include a brief design of a device we intend to use to evaluate these ideas

Don’t Kick the Habit: The Role of Dependency in Habit Formation Apps

Habit formation apps are intended to help instigate and maintain new behaviors. Prior research has established that these apps mostly do not support the theoretical ‘habit’ construct defined in psychology, yet are generally popular and well reviewed in app stores. This apparent mismatch between theory and ‘in-the-wild’ usage has not been investigated to date. Through an in-depth qualitative study of a popular application Lift, this research establishes that common techniques such as reminders and streaks are effective at supporting repetition of new behaviors, but at the same time create a dependency: on-going app use is often required to achieve lasting change. This dependency introduces fragility in users’ attempts to change their behavior, as they often abandon the app and subsequently disengage with their new behaviors

Drosophila Insulin receptor regulates the persistence of injury-induced nociceptive sensitization

Diabetes-associated nociceptive hypersensitivity affects diabetic patients with hard-to-treat chronic pain. Because multiple tissues are affected by systemic alterations in insulin signaling, the functional locus of insulin signaling in diabetes-associated hypersensitivity remains obscure. Here, we used Drosophila nociception/nociceptive sensitization assays to investigate the role of Insulin receptor (Insulin-like receptor, InR) in nociceptive hypersensitivity. InR mutant larvae exhibited mostly normal baseline thermal nociception (absence of injury) and normal acute thermal hypersensitivity following UV-induced injury. However, their acute thermal hypersensitivity persists and fails to return to baseline, unlike in controls. Remarkably, injury-induced persistent hypersensitivity is also observed in larvae that exhibit either type 1 or type 2 diabetes. Cell type-specific genetic analysis indicates that InR function is required in multidendritic sensory neurons including nociceptive class IV neurons. In these same nociceptive sensory neurons, only modest changes in dendritic morphology were observed in the InRRNAi-expressing and diabetic larvae. At the cellular level, InR-deficient nociceptive sensory neurons show elevated calcium responses after injury. Sensory neuron-specific expression of InR rescues the persistent thermal hypersensitivity of InR mutants and constitutive activation of InR in sensory neurons ameliorates the hypersensitivity observed with a type 2-like diabetic state. Our results suggest that a sensory neuron-specific function of InR regulates the persistence of injury-associated hypersensitivity. It is likely that this new system will be an informative genetically tractable model of diabetes-associated hypersensitivity

Evidence of localised Amazon rainforest dieback in CMIP6 models

This is the final version. Available on open access from th European Geosciences Union via the DOI in this recordCode and data availability: The CMIP6 model output datasets analysed during this study are available online at https://doi.org/10.22033/ESGF/CMIP6.4507 (EC-Earth Consortium, 2019), https://doi.org/10.22033/ESGF/CMIP6.8473 (Krasting et al., 2018), doi10.22033/ESGF/CMIP6.6435 (Wieners et al., 2019), https://doi.org/10.22033/ESGF/CMIP6.10861 (Bethke et al., 2019), https://doi.org/10.22033/ESGF/CMIP6.7782 (Park and Shin, 2019), https://doi.org/10.22033/ESGF/CMIP6.9702 (Lee and Liang, 2020), and https://doi.org/10.22033/ESGF/CMIP6.5792 (Tang et al., 2019). Code used for analysis is available at https://doi.org/10.5281/zenodo.7038389 (Parry et al., 2022).Amazon forest dieback is seen as a potential tipping point under climate change. These concerns are partly based on an early coupled climate–carbon cycle simulation that produced unusually strong drying and warming in Amazonia. In contrast, the fifth-generation Earth system models (Phase 5 of the Coupled Model Intercomparison Project, CMIP5) produced few examples of Amazon dieback under climate change. Here we examine results from seven sixth-generation models (Phase 6 of the Coupled Model Intercomparison Project, CMIP6), which include interactive vegetation carbon and in some cases interactive forest fires. Although these models typically project increases in area-mean forest carbon across Amazonia under CO2-induced climate change, five of the seven models also produce abrupt reductions in vegetation carbon, which indicate localised dieback events. The northern South America (NSA) region, which contains most of the rainforest, is especially vulnerable in the models. These dieback events, some of which are mediated by fire, are preceded by an increase in the amplitude of the seasonal cycle in near-surface temperature, which is consistent with more extreme dry seasons. Based on the ensemble mean of the detected dieback events we estimate that 7±5 % of the NSA region will experience abrupt downward shifts in vegetation carbon for every degree of global warming past 1.5 ∘C.European Research Council (ERC)European Union Horizon 2020Engineering and Physical Sciences Research Council (EPSRC

Polygenic transcriptome risk scores (PTRS) can improve portability of polygenic risk scores across ancestries

Background: Polygenic risk scores (PRS) are valuable to translate the results of genome-wide association studies (GWAS) into clinical practice. To date, most GWAS have been based on individuals of European-ancestry leading to poor performance in populations of non-European ancestry. Results: We introduce the polygenic transcriptome risk score (PTRS), which is based on predicted transcript levels (rather than SNPs), and explore the portability of PTRS across populations using UK Biobank data. Conclusions: We show that PTRS has a significantly higher portability (Wilcoxon p=0.013) in the African-descent samples where the loss of performance is most acute with better performance than PRS when used in combination