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The sparse identification of nonlinear dynamics (SINDy) algorithm enables us to discover nonlinear dynamical systems purely from data but is noise-sensitive, especially in low-data scenarios. In this work, we introduce an advanced method that integrates group sparsity thresholds with Earth Mover's distance-based similarity measures in order to enhance the robustness of identifying nonlinear dynami

OBJECTIVE: Test the hypothesis that depressive symptoms are associated with cognitive performance and that cortisol levels may explain this association independently of Alzheimer's Disease (AD) biomarker levels.DESIGN: Longitudinal observational study.SETTING: Memory clinic, Karolinska University Hospital, Stockholm, Sweden.PARTICIPANTS: Consecutive patients (n = 162) who agreed to take part in th

Mauritius is an African growth miracle when evaluated against traditional economic theory on how to achieve sustained growth and structural transformation. Mauritius has also been recognized for its commitment to human development. Still, gendered inequalities in the labour market remain.Garment manufacturing significantly contributed to raising women’s labour force participation in Mauritius’s po

Increased understanding of the context and context adaptation is needed since effective change implementation and context are connected. This thesis begins to explore the role of context and context adaptation in traffic management change processes to increase knowledge on how organizational change can be managed more successfully.The empirical context for this thesis is The Swedish Transport AdmiIncreased understanding of the context and context adaptation is needed since effective change implementation and context are connected. This thesis begins to explore the role of context and context adaptation in traffic management change processes to increase knowledge on how organizational change can be managed more successfully.The empirical context for this thesis is The Swedish Transport Admi

Do we owe anything to our genetic relatives qua genetic relatives? The philosophical literature has primarily addressed this question in the context of procreation. But genetic matching databases raise the question of whether we owe anything to previously unknown genetic relatives. This article argues that influential philosophical arguments regarding moral claims to know one’s genetic origins (so

BackgroundHalogenated anaesthetic agents are potent greenhouse gases, but little is known about the trajectory of their use and their greenhouse gas impact on a global level. The primary aim of this study was to estimate the global greenhouse gas impact of halogenated anaesthetic agents over the preceding 10 years.

The ongoing 2023 Israel-Hamas War has severe and far-reaching consequences for the people, economy, food security, and environment. The immediate impacts of damage and destruction to cities and farms are apparent in widespread reporting and first-hand accounts from within the Gaza Strip. However, there is a lack of comprehensive assessment of the war's impacts on key Gazan agricultural land that a

This work presents a statistical approach for estimating and analyzing the downward transport pattern and distribution of soil water by the use of pattern analysis of space-time correlation structures. This approach, called the Space-time Correlation Field, is mainly based on the analyses of correlation functions simultaneously in the space and time domain. The overall purpose of this work is to d

Two successful samples of land treatment systems are introduced in the paper. A rapid infiltration system of the area 11.3 hectares with treatment capacity of 10,000 m3/day was constructed in Pingdu city of Shandong province. The removal of COD reached 87.5% while 89.4 for suspended solids and 64.4 % for NH3-N. In fact, the treated water already achieved the criteria of the secondary treatment eve

The effect of measurement errors on adaptive and non-adaptive control charts has been occasionally considered by researchers throughout the years. However, that effect on the variable sample size and sampling interval (VSSI) X¯ control charts has not so far been investigated. In this paper, we evaluate the effect of measurement errors on the VSSI X¯ control charts. After a model development, the e

The coefficient of variation is a very important process parameter in many processes. A few control charts have been considered so far for monitoring its multivariate counterpart, i.e., the multivariate coefficient of variation (MCV). In addition, autocorrelation is very likely to occur in processes with high sampling frequency. Hence, designing suitable control charts and investigating the effect

The combined effect of two real-world-occurring phenomena: ‘measurement errors’ and ‘autocorrelation between observations’ has rarely been investigated. In this paper, it will be investigated for the first time on ‘adaptive’ and/or ’simultaneous monitoring’ charts and also for the first time by using the multivariate linearly covariate measurement errors and VARMA (vector mixed autoregressive and

In this article, we investigate the effect of measurement errors on the performance of the VP (Variable Parameters) X control chart. After introducing the VP scheme for the X chart with measurement errors, we evaluate the chart performance by using the average time to signal criterion, and we investigate the effect of measurement errors on the chart’s performance through extensive numerical studie

There have been some advances in multivariate control charts in recent years. This paper presents a new simultaneous scheme for monitoring both the mean and variability of a multivariate normal process in a single chart, which is developed by improving and modifying another recently proposed scheme. We not only propose a new control scheme but also make it adaptive by varying all control chart par