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Understanding the loss surface of neural networks is essential for the design of models with predictable performance and their success in applications. Experimental results suggest that sufficiently deep and wide neural networks are not negatively impacted by suboptimal local minima. Despite recent progress, the reason for this outcome is not fully understood. Could deep networks have very few, if
Recent advances in stroke treatment have provided effective tools to successfully treat ischemic stroke, but still a majority of patients are not treated due to late arrival to hospital. With modern stroke treatment, earlier arrival would greatly improve the overall treatment results. This prospective study was performed to asses the capability of bilateral accelerometers worn in bracelets 24/7 to
As part of its commitment to transparency, the European Food Safety Authority (EFSA) has been developing improved approaches to assessing uncertainty and expressing the degree of certainty in its scientific outputs. The objectives of this workshop were to review and improve the provision of this information by EFSA and its usefulness for risk managers, and to help risk managers to interpret and us
Background: Taxi drivers in a Chinese megacity are frequently exposed to traffic-related particulate matter (PM2.5) due to their job nature, busy road traffic, and urban density. A robust method to quantify dynamic population exposure to PM2.5 among taxi drivers is important for occupational risk prevention, however, it is limited by data availability. Methods: This study proposed a rapid assessme
Artikeln behandlar utsignalåterkoppling av system där funktionen som avbildar tillstånden på mätsignarlerna har en mängdvärd invers.Vi visar att om mängden har begränsad kardinalitet, så går det att komprimera historiken till en ändlig vektor som beräknas rekursivt.Resultatet exemplifieras på diskrettidsintegratorn där mätsignalen är absolutbeloppet av tillståndet och får fram en förvånandsvärt enThis article considers output-feedback control of systems where the function mapping states to measurements has a set-valued inverse. We show that if the set has a bounded number of elements, then minimax dual control of such systems admits finite-dimensional information states. We specialize our results to a discrete-time integrator with magnitude measurements and derive a surprisingly simple sub
Questions around parental involvement in education, not only in in East Asia but also in a global context, are significant, given the increased concern in ‘population quality’ and the ever-growing education market. South Korea and Singapore are widely recognized for their competitive education systems and for consistently topping international student assessment tests. They also share a ballooning
This communication addresses a simple question by means of density functional calculations: Why is iron used as the metal in. iron-sulfur clusters? While there may be several answers to this question, it is shown here that one feature - the well-defined inner-sphere reorganization energy of self-exchange electron transfer - is very much favored in iron-sulfur clusters as opposed to metal substitut
Autoimmune T cell responses directed against insulin-producing β cells are central to the pathogenesis of type 1 diabetes (T1D). Detection of such responses is therefore critical to provide novel biomarkers for T1D 'immune staging' and to understand the mechanisms underlying the disease. While different T cell assays are being developed for these purposes, it is important to optimize and standardi
In recent years, shared micro-mobility services (e.g., bikes, e-bikes, and e-scooters) have been popularized at a rapid pace worldwide, which provide more choices for people’s short and medium-distance travel. Accurately modeling the choice of these shared micro-mobility services is important for their regulation and management. However, little attention has been paid to modeling their choice, esp
Shared electric scooters (e-scooters) have been rapidly growing in popularity across Europe over the past three years, which can bring various environmental and socioeconomic benefits. However, how to further improve the usage efficiency of shared e-scooters is still a major concern for micro-mobility operators and city planners. This paper proposes a machine learning based approach to predict the
This paper gives a brief summary of computational methods in heat transfer equipment, i.e., CFD (computational fluid dynamics) methods for thermal problems, and turbulence modeling for single phase applications in the design, research and development of heat exchangers. Some examples for real heat exchangers are shown to demonstrate how CFD methods can be used as R & D tools. Nevertheless, lim
This report presents showcases of active teaching and learning in spatial data infrastructure education in the SPIDER partner universities. It includes detailed descriptions of the practices that have been implemented, as well as the results of the evaluation of the practices from an active teaching learning perspective.
