Alexandra Institute (Denmark)

Abstract This article describes a study of One Nation/One Project, a national post-pandemic arts-and-public-health initiative in the US. This values-based, convergent mixed-methods study found significant associations between arts participation, social cohesion, and well-being and offers a theory of change that illustrates these associations, as well as how arts participation increased social cohesion and enhanced well-being. At a moment when the severities of social divisions and loneliness are increasing in the US, this theory of change may enhance socia cohesion and well-being by encouraging cross-sector collaboration between the arts, public health, and municipal sectors and supporting investment in the arts.

This study investigates the relationship between smartphone tracking data and self-reported COVID-19 experiences to better understand recovery patterns after COVID-19 infection in patients. We developed COronaVIden, an app that collects activity data through the iOS Health and Google Fit APIs, along with questionnaires on the timeline of infection, symptoms, and WHO-5 well-being scores. Of more than 5,000 participants (with 632 positive cases) who provided data between January 2019 and November 2021, 177 met our inclusion criteria. The average recovery duration based on activity data is 23.04±15.52 days, while self-perceived recovery duration average is 16.51±10.33 days. We developed two predictive models: In model 1 we used physical activity and demographic data, and in model 2 we used physical activity, demographic data, as well as additional post-infection symptoms that were made available to us by the users. We achieved a mean absolute error of 10.66 and 9.42 respectively, showing 29% and 37% improvement over the baseline, which is the median of recovery duration. The Shapley method was used to assess the contributions of features to the duration of recovery. Key findings indicate that being female, older and experiencing fatigue are correlated with longer recovery periods. Higher physical activity before infection was correlated with a shorter recovery time, possibly indicating better baseline health, although this was not significant in our population. Our findings demonstrate that wearables and smartphones can effectively track disease recovery patterns, offering valuable information for public health strategies, although more research is needed to account for potential confounding factors.

This paper presents the FactoryML framework that simplifies the deployment and integration of Machine Learning (ML) models in manufacturing factory environments. FactoryML facilitates packaging of ML models into a portable format and it facilitates the communication of deployed ML models in factory environments via Programmable Logic Controllers. In general FactoryML reduces the barrier to take learned models from a research and development side into an operational setting. The value of FactoryML has been demonstrated in a case study with a Danish company as well.

Abstract BackgroundThe burden of informal caregiving of people with Alzheimer’s Disease (AD) is often overlooked. We wanted to provide an overview of the burden of AD for care partners and to explore how the burden increases with disease progression through a systematic literature review.MethodA protocol was developed before searches in PubMed, Embase, PsycINFO, and Cochrane Library were run October 2021 via the Silvi.ai‐platform. Eligible studies were published in English and provided data from 2010 or later. Two reviewers screened titles and abstracts independently. A single reviewer conducted full‐text analysis and data extraction, and a PRISMA overview was generated. Studies were quality ranked in accordance with Oxford quality grading scale.Result911 hits were identified of which 61 studies were relevant for data extraction. Most care partners were women. The majority of studies reported moderate‐to‐severe levels of impact on care partners life (using the Zarit Burden Interview (ZBI) and the Maslach burnout inventory) and on care partners’ overall quality of life (using the WHO Quality of Life questionnaire);1,2 care partners exhibited higher levels of stress, depression, and anxiety compared to control groups.3,4,5,6 Females had significantly higher score on care partner burden than males (measured by the Caregiver Burden Inventory (CBI)).7 The higher the number, frequency and severity of symptoms affecting patients, the more intense care partner distress as measured by the Neuropsychiatric Inventory Distress Scale.8 The care partners of people with severe dementia due to AD reported the greatest care partner burden measured by the short version of the ZBI and the CBI.9,10 There was a clear correlation between hours of care giving and score of the ‘Activities of Daily Living’ questionnaire. The higher the score, the more hours of care giving.11,12,13,14 ConclusionBeing a care partner to a person with AD is often associated with emotional stress, depression, anxiety, low overall QoL as well as impact on physical health. Female care partners are disproportionally affected compared to males. The more severe the AD, the larger the burden. More research within the field is required to illuminate the true health consequences for care partners of people with AD.

Abstract This work considers fatigue strength behavior of construction made from composite materials. Primary attention in this work is focused to fatigue strength behaviors of helicopter tail rotor blade made from composite materials. In this investigation some aspects of design and experimental verification of composite structural elements are considered. Special attention in this consideration is focused on strength analysis of composite structures with application to helicopter tail rotor blades HT-40.To analyze fatigue strength behavior of composite blade here the blade tested under static and fatigue load spectrum. For precise definition of load spectrum of helicopter tail rotor blades here computation fluid dynamic (CFD) numerical simulation is used. In this consideration for determination aerodynamic loads of helicopter tail rotor blades two computation models are used. In first model isolated tail rotor blade is considered. In the second computation model the complete helicopter is modeled including fuselage together with main and tail rotor blades. To determine stresses in blades here finite element method (FEM) is used. To verify fatigue strength of the tail rotor composite blade here is tested with respect to fatigue for one critical load case. In addition to experimental verification of tail rotor blade here is illustrated computation procedure for optimal design of the layered composite panel.KeywordsHelicopter tail rotor bladeComposite materialsFatigue strengthExperimental verificationFEMCFD

The characteristic smell that makes you think of a summer cabin and the warm feeling when touching a wooden surface. It was such sensory insights that we hoped to obtain during a study with the aim to explore people's experiences of living in wooden houses. But then the COVID pandemic hit. Instead, we had to find ways of entering people's homes through digital means and at a distance. One day during the study we received a message from one of the informants via the app that was used to collect snapshots of their homes: “(..) But I see no reason in showcasing my private home on video and if you can't proceed without it, I'm done with your silly study…”With the phone in the field, what had suddenly happened?This submission explores these digitally mediated encounters with a post‐phenomenological lens, as it can give us insight as to what happens when trying to make ethnography resilient to change. By reflecting on technology's mediating role, we can harvest its great potentials for strengthening the ethnographic toolbox.

We consider the problem of acquiring causal representations and concepts in a reinforcement learning setting. Our approach defines a causal variable as being both manipulable by a policy, and able to predict the outcome. We thereby obtain a parsimonious causal graph in which interventions occur at the level of policies. The approach avoids defining a generative model of the data, prior pre-processing, or learning the transition kernel of the Markov decision process. Instead, causal variables and policies are determined by maximizing a new optimization target inspired by mediation analysis, which differs from the expected return. The maximization is accomplished using a generalization of Bellman's equation which is shown to converge, and the method finds meaningful causal representations in a simulated environment.

The article presents the research on the effect of the set fodder additives from the local natural raw materials on the indices of the digestibility of nutrients, nitrogen, calcium and phosphorus absorption, the dynamics of body weight and the physiology of young horses of the Yakut breed in the conditions of the Republic of Sakha Yakutia. To determine the developed formula of the set fodder additives from the local raw materials: sapropel from a local lake and coniferous flour according to cropping periods, Hongurin’s zeolite, natural Kempendyai salt, a scientific and economic experiment has been carried out on young Yakut horses’ breed of the indigenous type in the conditions of Central Yakutia. The feeding conditions for all animals of the experimental groups have been the same. But the animals in the control groups have been also fed with the set fodder additives in different proportions. The supplement of fodder additives to the daily ration of young horses has increased the digestibility of nutrients in terms of dry matter by 8.03% and 6.79%, organic matter – 7.83% and 6.48%, crude protein – 2.52% and 1.31%, crude fat – 4.01% and 2.16%, crude fibre – 12.78% and 10.63% and free-nitrogen extracts – 6.94% and 5.83%; nitrogen deposit in the horses’ body in the experimental groups by 18.38% and 7.58%, calcium – 8.28% and 5.75%, and phosphorus – 5.12% and 0.88%. The animals fed by the additives have grown up more intensively by 10.42% and 7.92%. In assessing the biochemistry and morphological composition of the blood, there have not been any adverse effects in the horses’ body.