Deep Reinforcement Learning for Long Term Hydropower Production Scheduling

We explore the use of deep reinforcement learning to provide strategies for long term scheduling of hydropower production. We consider a use-case where the aim is to optimise the yearly revenue given week-by-week inflows to the reservoir and electricity prices. The challenge is to decide between immediate water release at the spot price of electricity and storing the water for later power production at an unknown price, given constraints on the system. We successfully train a soft actor-critic algorithm on a simplified scenario with historical data from the Nordic power market. The presented model is not ready to substitute traditional optimisation tools but demonstrates the complementary potential of reinforcement learning in the data-rich field of hydropower scheduling.Comment: 2020 International Conference on Smart Energy Systems and Technologies (SEST

Subjective Rationalities of Nonadherence to Treatment and Vaccination in Healthcare Decision-Making

Tuuli Turja,1 Milla Rosenlund,2 Hanna Kuusisto2– 4 1Faculty of Social Sciences, Tampere University, Tampere, Finland; 2Faculty of Social Sciences and Business Studies, Department of Health and Social Management, University of Eastern Finland, Kuopio, Finland; 3Department of Neurology, Tampere University Hospital, Tampere, Finland; 4Faculty of Medicine, Tampere University, Tampere, FinlandCorrespondence: Tuuli Turja, Email [email protected]: In this short report contributing to the literature on treatment and vaccination adherence, nonadherence was examined from the perspective of decision-making (DM) practice in healthcare. The objective of this study was to survey the rationalities given for treatment nonadherence and their association with DM practice.Methods: The Ottawa decision Support Framework was used as a theoretical background for the study. Multiple choice and open-text responses indicating nonadherence were drawn from vignette survey data. The results have been analyzed and reported as descriptive statistics and findings of data-driven content analysis. The number of observatory units was 1032 in the within-subject study design.Results: DM practice was predominantly associated with nonadherence to vaccination, whereas nonadherence to treatment was consistently associated with attitudinal reasons independent of DM practice. Nonadherence to vaccination was most often rationalized by prior negative experiences in simple DM scenarios. After other DM practices, nonadherence was rationalized by uncertainty and criticism about the benefits of the recommended vaccine. Mistrust toward healthcare providers stood out, first in treatment nonadherence generally and, second, in vaccination nonadherence after simple DM where the final decision was left to the patient.Conclusion: In medical DM, adherence to treatment and vaccination may be achieved through a recognition of patients’ previous healthcare encounters and potential trust-related concerns, which could pose a risk for nonadherence. To be able to observe these risks, patient engagement and mutual trust should be priorities in decision support in healthcare.Plain Language Summary: Research on treatment and vaccination adherence aim at increasing knowledge about improving adherence and treatment outcomes. This study examined explanations given for not adhering to treatment and an association between the explanations and medical decision-making practices. Decision-making practices are known to impact patient–physician interaction and the patients’ motivation to have an active role at the appointment. In a shared decision-making (SDM) practice, patients’ participation is encouraged. SDM is built on both medical expertise of the practitioner and individual views, values and preferences of the patient. As opposed to SDM, authoritarian decision-making refers to a practice in which decisions are made solely by the physician. In guided decision-making, the physician shares information with the patient but makes the final decision. In simple decision-making, the final decision is left to the patient after consultation. This empirical study used illustrated vignette survey data from Finland. Out of the 1935 respondents, 64% were female with an average age of 68. In the study design, nonadherence was presumed to depend on a decision-making practice presented. Primary findings showed that nonadherence to treatment is most correlated with attitudinal predetermination of the patient and mistrust toward healthcare providers. Nonadherence to vaccination had a stronger association with decision-making practices. After simple decision-making, declining vaccination was most often explained by prior negative experiences and mistrust toward healthcare providers. After other decision-making practices, explanations for declining included uncertainty and criticism about the benefits of the recommended vaccine. This study underscores the pivotal role of trust in the patient-physician interaction.Keywords: decision-making, interaction, treatment adherence, trust, vaccinatio

From Burdens To Benefits: The Societal Impact Of PDL-Enriched, Efficacy-Enhanced Educators

Societies continue to absorb increased burdens in cost for helping citizens unable to achieve at optimal levels.  Building on past research, we project educational benefits to offset current societal burdens through enhanced educator capabilities.  Studies reviewed show participation in a high-impact professional development and learning solution resulted in improved student performance and reduced dropout rates, reduced disciplinary rates and increased rates for college-bound, along with lower teacher turnover.  Computations show that generalization of such impacts should trade societal burdens for benefits at between $3.7 billion and$6.9 billion within the first year.  Cumulatively within 20 years the burdens converted to benefits are projected to exceed $85 billion.  Enhanced educator capabilities will substantively reduce needs and costs for societal programs, replaced with tangible benefits to all

Hospitalized older adults' experiences of virtual reality-based group exercise therapy with cycle ergometers:An early feasibility study

Sedentary behavior among hospitalized older adults is a well-described challenge that can increase the risk of loss of function and mortality. Therefore, it is important to encourage physical activity (PA) during hospitalization. Exertion Games (exergames) have repeatedly been suggested as a tool to encourage and sustain motivation in rehabilitation programs. This article presents early findings from a convergent parallel mixed methods study that explored whether social presence and PA could be combined through the novel use of immersive virtual reality technology in a feasible group exercise constellation. Inpatients (n=10, 50% female, 80.3±8.2 years) were invited to participate in a bi-weekly VR group session. Most participants (62%) responded that it was a good experience to a large/great extent, which they would like to use repeatedly (76%). The technology was easy for untrained healthcare professionals and had minimal adverse events for the participants. However, a major finding illustrates that the enclosing immersiveness of the headset hindered conversation during exercise sessions. The exclusion of sight likely had a negative effect on forming relations between the participants, which conversely caused the participants to experience a lack of cohesion and relatedness with the other participants. VR-mediated group therapy may be a promising solution to existing physiotherapy practices since it may incorporate basic psychological needs. However, to optimize for social interaction, future systems will need to afford a higher degree of social presence, e.g., through avatar embodiment in a shared virtual environment, to support older adults' autonomous motivation for PA through social interaction and novel technologies

Dietary pesticide chlorpyrifos-methyl affects arachidonic acid metabolism including phospholipid remodeling in Atlantic salmon (Salmo salar L.)

The pesticide chlorpyrifos-methyl (CLP-m) has been identified in plant ingredients intended for aquaculture feed production. To investigate systemic effects of CLP-m with emphasis on lipid metabolism, post-smolt Atlantic salmon were fed in duplicate (n = 2) either diets with no CLP-m (Control) or CLP-m at different concentrations (0.1, 1.0 or 8.0 mg kg(-1)) for a total of 67 days (Low, Medium, High). Fish in all groups almost doubled their weight during the feeding trial from 262 +/- 26 g (mean +/- SD) to 465 +/- 64 g (overall mean), with no significant effects on any growth parameters. There was a significant dose-dependent inhibition of plasma cholinesterase activity (BuChE) after 67 days. The CLP-m biotransformation metabolite, TCP was detected in liver and bile, with low levels of the parent compound in the organs. Spleen somatic index decreased significantly with increasing dietary CLP-m intake. Hematocrit (%) decreased linearly with increasing dietary exposure to CLP-m after 30 days of exposure, but this decrease was less at 67 days of exposure. A significantly reduced content of arachidonic acid (ARA 20:4n - 6), accompanied by a significantly increased content of the saturated fatty acid, palmitic acid (PA 16:0), was observed in liver phospholipids (PLs) with increasing dietary content of CLP-m. Major effects were seen on the PL classes in liver which showed a significantly decreased absolute content, possibly indicating inhibition of PL remodeling pathways or other membrane perturbation effects from CLP-m exposure. In conclusion, this study shows that the pesticide CLP-m is a relatively potent toxicant in Atlantic salmon, especially affecting liver PLs and ARA metabolism

Transition probabilities for general birth-death processes with applications in ecology, genetics, and evolution

A birth-death process is a continuous-time Markov chain that counts the number of particles in a system over time. In the general process with $n$ current particles, a new particle is born with instantaneous rate $\lambda_n$ and a particle dies with instantaneous rate $\mu_n$. Currently no robust and efficient method exists to evaluate the finite-time transition probabilities in a general birth-death process with arbitrary birth and death rates. In this paper, we first revisit the theory of continued fractions to obtain expressions for the Laplace transforms of these transition probabilities and make explicit an important derivation connecting transition probabilities and continued fractions. We then develop an efficient algorithm for computing these probabilities that analyzes the error associated with approximations in the method. We demonstrate that this error-controlled method agrees with known solutions and outperforms previous approaches to computing these probabilities. Finally, we apply our novel method to several important problems in ecology, evolution, and genetics

Long-term feeding of Atlantic salmon with varying levels of dietary EPA þ DHA alters the mineral status but does not affect the stressresponses after mechanical delousing stress

Atlantic salmon were fed diets containing graded levels of EPA + DHA (1·0, 1·3, 1·6 and 3·5 % in the diet) and one diet with 1·3 % of EPA + DHA with reduced total fat content. Fish were reared in sea cages from about 275 g until harvest size (about 5 kg) and were subjected to delousing procedure (about 2·5 kg), with sampling pre-, 1 h and 24 h post-stress. Delousing stress affected plasma cortisol and hepatic mRNA expression of genes involved in oxidative stress and immune response, but with no dietary effects. Increasing EPA þ DHA levels in the diet increased the trace mineral levels in plasma and liver during mechanical delousing stress period and whole body at harvest size. The liver Se, Zn, Fe, Cu, and Mn and plasma Se levels were increased in fish fed a diet high in EPA þ DHA (3·5 %) upon delousing stress. Furthermore, increased dietary EPA þ DHA caused a significant increase in mRNA expression of hepcidin antimicrobial peptide (HAMP), which is concurrent with downregulated transferrin receptor (TFR) expression levels. High dietary EPA + DHA also significantly increased the whole-body Zn, Se, and Mn levels at harvest size fish. Additionally, the plasma and whole-body Zn status increased, respectively, during stress and at harvest size in fish fed reduced-fat diet with less EPA + DHA. As the dietary upper limits of Zn and Se are legally added to the feeds and play important roles in maintaining fish health, knowledge on how the dietary fatty acid composition and lipid level affect body stores of these minerals is crucial for the aquaculture industry

Anbefaling på valg av standarder/rammeverk for velferdsteknologi

Velferdsteknologi kan gi mange, uansett alder, mulighet for å bo hjemme under trygge forhold dersom man blir syk, behøver omsorg eller bare ønsker mulighet til å bo hjemme i en sen fase i livet