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This work addresses the design of multi-agent coordination through high-order consensus protocols. While first-order consensus strategies are well-studied—with known robustness to uncertainties such as time delays, time-varying weights, and nonlinearities like saturations—the theoretical guarantees for high-order consensus are comparatively limited. We propose a compositional control framework tha
This thesis investigates scalable control design for networked dynamical systems, which are of great importance due to their wide range of practical applications, including large-scale formation control. A central challenge in such systems is enabling agents to coordinate effectively based only on local and relative information, particularly as the system size increases. To address this, the thesi
Speckle metrology is a powerful optical sensing tool for non-destructive testing (NDT) and advanced surface characterization, enabling ultra-precise measurements of surface deformations and displacements. These capabilities are critical for material analysis and surface assessment in sensing-driven applications. However, traditional correlation methods often struggle to balance resolution and robu
Background: Respiratory symptoms are common in the general adult population. Increased burden of respiratory symptoms may increase the risk of mortality. We assessed the association between respiratory symptom clusters and mortality. Methods: Participants were derived from two population-based Swedish adult cohorts (N = 63,060). Cluster analysis was performed with Locality Sensitive Hashing (LSH)-
BACKGROUND: Recent advances now allow detection of brain-specific proteins in blood, including neurofilament light chain (NfL), a marker of axonal pathology, and glial fibrillary acidic protein (GFAP), indicative of astrocytic activation. Given the evidence of astroglial pathology and neuronal dysfunction in bipolar disorder, and ongoing debates on neuroprogression, we investigated plasma NfL and
Defaulter tracing policies for Prevention of Mother-to-Child Transmission (PMTCT) services are vital for achieving the global goal of zero new HIV infections. However, little is known about their implementation. This qualitative study explores the role of tracers—community volunteers, retention workers, and mentor mothers—in implementing such policy across six facilities in Western Kenya. It usesDefaulter tracing policies for Prevention of Mother-to-Child Transmission (PMTCT) services are vital for achieving the global goal of zero new HIV infections. However, little is known about their implementation. This qualitative study explores the role of tracers—community volunteers, retention workers, and mentor mothers—in implementing such policy across six facilities in Western Kenya. It uses
Renin from plasma, kidney, and recombinant sources was previously demonstrated to cleave C3 to C3a and C3b. C3a was generated at a similar rate to that by C3 convertase, and C3 cleavage was inhibited by the renin inhibitor aliskiren. Renin endogenously produced by Calu6 cells also led to C3 deposition on cells. These results have been challenged by another group suggesting that recombinant renin d
Magneto-responsive soft films constitute a fascinating class of smart materials and devices capable of performing various tasks, such as micromanipulation or transport, noninvasive surgery, and sensing. These components are fabricated by incorporating magnetic materials into flexible substrates. In this context, arranging magnetic particles into elongated chains exhibiting shape anisotropy has sho
Nanochains (NCs) made up of a one-dimensional arrangement of magnetic anoparticles (NPs) exhibit anisotropic properties with potential for various applications. Herein, using a novel self-assembly method we directly integrate single NCs onto desired substrates including devices. We present a nanoscopic analysis of magnetization reversal in 1D linear NP arrays by combining x-ray microscopy, magnet
The widespread use of artificial intelligence technologies in border management throughout the European Union has significant human rights implications that extend beyond the commonly examined issues of privacy, non-discrimination and data protection. This article explores these overlooked impacts through three critical frameworks: the erosion of freedom of thought, the disempowerment of individua
Artificial intelligence (AI) is increasing being deployed across various sectors in society. While bringing progress and promise to scientific discovery, public administration, healthcare, transportation and human well-being generally, artificial intelligence can also exacerbate existing forms of human vulnerabilities and can introduce new vulnerabilities through the interplay of AI inferences, pr
Accurate mapping of vegetation canopy height and biomass distribution is essential for effective forest monitoring, climate change mitigation, and sustainable forestry. Here we present high-resolution remote sensing-based canopy height (10 m resolution) and above ground biomass (AGB, 50 m resolution) maps for the forests of the Iberian Peninsula from 2017 to 2021, using a deep learning framework t
