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We present an explicit solution to the discrete-time Bellman equation for minimax optimal control of positive systems under unconstrained disturbances. The primary contribution of our result relies on deducing a bound for the disturbance penalty, which characterizes the existence of a finite solution to the problem class. Moreover, this constraint on the disturbance penalty reveals that, in scenar
We study the association between childhood neighborhood socioeconomic status (SES) (ages 1-15) and hospitalization with preventable-type disease in adulthood, using geocoded longitudinal microdata for a Swedish city (1939-1967) linked to national registers (1973-2015). Observing the full residential histories at the address level for the entire population, we construct dynamic and cumulative indiv
This subchapter describes the successful development of a new methodology for studying on-line writing. The text-logging tool ScriptLog has been combined with the eye-tracking technology iView X HED HT, in order to enhance the study of the interplay between writing, monitoring and revision. Data on the distribution of visual attention during writing help determining to what extent pauses are used
Multimedia environments consist of verbal and visual representations that, if appropriately processed, allow for the construction of an integrated mental model of the content. Whereas much is known on how students learn from verbal representations, there are fewer insights regarding the processing of visual information, alone or in conjunction with text. This chapter uses a semiotics approach to p
Audio description (AD) serves as a vital means to make visual media accessible to non-sighted and visually impaired audiences. This study systematically investigates the impact of narrative specificity and voice quality on imageability and comprehension in both sighted and non-sighted populations. Twenty non-sighted participants, including congenitally blind individuals and those who lost their si
Drought is a climate risk that affects access to safe water, crop development, ecological stability, and food production. Therefore, developing drought prediction methods can lead to better management of surface and groundwater resources. Similarly, machine learning can be used to find improved relationships between nonlinear variables in complex systems. Initially, the standardized precipitation
The escalating levels of heavy metals in soil, attributed to diverse sources, pose a pressing concern for human and animal health through their entry into the food chain. This study aimed to evaluate the uptake behavior of Cu, Zn, and Pb in carrots grown in different levels of contaminated soil (control, 30, 60, 90, 120 ppm) and to assess the associated health risks to mitigate the enrichment of h
(1) Background: Water scarcity is a pressing global issue, impacting food security, health, and economic stability in many regions. In Yemen, the challenges related to water resources are particularly acute, exacerbated by climate change, overuse, and a lack of sustainable management strategies. (2) Objective: this paper assesses water resources and demands under two shared socioeconomic pathways,
The Sustainable Development Goals (SDGs) build on the Millennium Development Goals (MDGs) and aim to promote sustainable global development by addressing poverty, inequality, and environmental sustainability. Among the key objectives of the SDGs, Goal 6 targets universal access to safely managed drinking water and sanitation by 2030, recognizing the critical link between water, sanitation, hygiene
Experimental results from student and other non-representative convenience samples often suggest that men, on average, are more risk taking and competitive than women. We explore whether these gender preference gaps also exist in incentivized tasks in a simple random sample of the Swedish adult population. Our design comprises four different conditions to systematically explore how the experimenta
Semiconductor double quantum dots (DQD) coupled to superconducting microwave resonators offer a promising platform for the detection of single microwave photons. In previous works, the photodetection was studied for a monochromatic source of microwave photons. Here, we theoretically analyze the photodetection of single microwave pulses. The photodetection in this case can be seen as a nonlinear fi
The emergency department is a stressful environment, in which physicians are required to make fast and accurate diagnostic assessments amidst an ever increasing flood of clinical information, including a growing body of medical knowledge. Meanwhile, the digitization of medical health records in combination with recent breakthroughs in Artificial Intelligence is ushering in a new era of precision m
