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In this paper we discuss new adaptive proposal strategies for sequential Monte Carlo algorithms—also known as particle filters—relying on criteria evaluating the quality of the proposed particles. The choice of the proposal distribution is a major concern and can dramatically influence the quality of the estimates. Thus, we show how the long-used coefficient of variation (suggested by Kong et al.
Background: Proteases of human pathogens are becoming increasingly important drug targets, hence it is necessary to understand their substrate specificity and to interpret this knowledge in practically useful ways. New methods are being developed that produce large amounts of cleavage information for individual proteases and some have been applied to extract cleavage rules from data. However, the
Nominally Anhydrous Minerals (NAM) in the Earth's mantle contain trace amounts of hydrogen, as a result of the NAM's ability to incorporate hydroxyl ions. The isotopic composition of these hydrogen reservoirs is for the Earth's crust, well characterized. The knowledge of the isotopic composition of the Earth's interior on the other hand is limited. It is believed that the hydrogen composition in t
OBJECTIVE - Insulinoma-associated protein 2 (IA-2) is a major autoantigen in type I diabetes, and IA-2 autoantibodies are routinely detected by a liquid-phase radioimmunoprecipitation assay. The present experiments were initiated to develop a new assay that does not require the use of radioisotopes or autoantigens prepared in bacteria or by in vitro transcription/translation. RESEARCH DESIGN AND M
Climate change poses a serious threat to sustainable urban development, placing many cities at risk. As a consequence, city authorities are increasingly facing the challenge of finding ways to include adaptation strategies into their work, although related knowledge and competence is still scarce and fragmented. With the aim to contribute to knowledge development and organizational learning, the o
Public procurement for innovation is a matter of using public demand to trigger innovation. Empirical studies have demonstrated that demand-based policy instruments can be considered to be a powerful tool in stimulating innovative processes among existing firms. However, the existing literature has not focused on the role this policy instrument can play in the promotion of (knowledge-intensive) en
The potential of Fe-V-oxide catalysts for use in methanol oxidation is explored. Our results show that although FeVO4 is active and selective for formaldehyde formation, it is not completely stable towards volatilization under reaction conditions. Attempts to stabilize Fe-V-oxide were made using titania, alumina and silica supports. However, we observe that although some stabilization is achieved
Medin amyloid is found in the medial layer of the aorta in almost 100% of the Caucasian population over 50 years of age. The medin fragment is 5.5 kDa and derives from the C2-like domain of the precursor protein lactadherin. We have previously reported immunohistochemical findings showing that medin amyloid co-localizes with elastic fibers of arteries and herein we show that lactadherin also is as
Objective: The objective was to determine the glycaemic index (GI) and insulinaemic index (II) of some common products intended for infants; that is, three commercial porridges and one gruel. Also, the influence of added fruit components to porridge on postprandial metabolic responses was studied by comparing corresponding data with a matched model product without fruit. Design: The volunteers wer
This thesis investigates the extent to which literature search and summarisation in clinical pharmacology can be partially automated by utilising a locally deployed Large Language Model (LLM) coupled with a Retrieval-Augmented Generation (RAG) component, designed as a free-text clinical decision support tool for medi- cal experts. The thesis aims to develop a prototype system consisting of a local
Virus capsids shows promise within a wide variety of applications. However, the current lack of understanding about their self-assembly limits their usefulness. A study of the amino acids relevant for their assembly would be of great use by giving insight to the mechanic behind it. Since the number of proteins involved in each capsid is so big, there is a need for a reporter system enabling easy a
This thesis investigates the use of several acceleration schemes to improve the performance of the primal-dual hybrid gradient algorithm for linear programming (PDLP), a state-of-the-art first-order method for linear programming (LP). The three main acceleration schemes investigated are: Polyak heavy ball momentum, Nesterov acceleration, and steering vectors selected in a residual momentum directi
A new era – but Aurelius can show the way Hoppa till huvudinnehåll Vi använder cookies och andra spårningsteknologier för att förbättra användarupplevelsen på vår webbplats, för att visa dig personligt innehåll och riktade annonser och för att analysera vår webbplatstrafik. Läs mer om cookies. Absolut nödvändiga cookies Dessa cookies är nödvändiga för att webbplatsen ska fungera och kan inte stäng
https://www.lth.se/article/a-new-era-but-aurelius-can-show-the-way/ - 2026-07-17
Vision impairment increases risks such as social isolation, mobility challenges, and falls. Wearable Augmented Reality (AR) devices with Artificial Intelligence (AI) can enhance sensory perception by enabling real-time recognition of obstacles, assisting visually impaired individuals during street navigation, aiming to reduce the risk of falls. In this paper, we propose a Federated Learning (FL) f
We study attitudes toward offering monetary payments for vaccination. We develop the Policy Lab, an experimental paradigm to characterize policy preferences in which participants decide whether to implement actual interventions to influence others' real-world behavior. In two studies with representative samples of the Swedish population (N=2,010) and one with Swedish policymakers (N=2,008), partic
Freshwater ecosystems in the central Andes provide critical ecosystem services (ES), including water purification, baseflow regulation, groundwater recharge, and cultural and recreational benefits. However, these high-mountain systems are increasingly threatened by changing land use, climate variability, and accelerating pressure on water resources. Understanding local willingness to pay for conse
This paper presents a decision-analytic approach for evaluating risk reduction actions for structural systems under climate change. A decision-theoretic formulation is developed to quantify the value of actions, extended to address climate change scenario uncertainties. Scenario occurrence probabilities are derived from probabilistic effective radiative forcing exceedances to link climate model pr
