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In this paper, we consider real-time modelling of an underwater acoustic channel impulse response (CIR), exploiting the inherent structure and sparsity of such channels. Building on the recent development to model acoustic channels using a Kronecker structure, we propose a sparse block updating conjugate gradient algorithm. The method initially compensate for the drift common in underwater measure
Proteoglycans (PGs) consist of a core protein with covalently bound glycosaminoglycan (GAG) chains that are linked via a tetrasaccharide. PGs are important macromolecules that are involved in biological processes such as cell growth and differentiation. A key enzyme in the biosynthesis of PG GAG chains is β-1,4-galactosyltransferase 7 (β4GalT7) that catalyzes the transfer of galactose to a xylose
The European spruce bark beetle (Ips typographus) is an insect species that causes significant damage to Norway spruce (Picea abies) forests across Europe. Infestation by bark beetles can profoundly impact forest ecosystems, affecting their structure and composition and affecting the carbon cycle and biodiversity, including a decrease in net primary productivity (NPP), a key indicator of forest he
Vowel-based voice analysis is gaining attention as a potential non-invasive tool for COPD classification, offering insights into phonatory function. The growing need for voice data has necessitated the adoption of various techniques, including segmentation, to augment existing datasets for training comprehensive Machine Learning (ML) modelsThis study aims to investigate the possible effects of seg
Time-frequency (TF) postprocessing methods are often used to form concentrated TF representations (TFRs) for nonstationary signals. Regrettably, most such techniques are sensitive to noise and tend to underestimate weak components when dealing with transient signals, resulting in sidelobes and low-resolution TFRs. In this work, we introduce a generalized group delay (GD) weighted sparse TF (GWSTF)
Infant Acute Lymphoblastic Leukemia (ALL) driven by the KMT2A::AFF1 onco-fusion is an aggressive, poor prognosis disease with few co-operative mutations. The fusion originates in utero, yet the embryonic initiating steps of disease development remain poorly understood. Here, we present a novel murine KMT2A::AFF1 model, that provides key insights into KMT2A::AFF1 pre-leukemia, relevant to human dis
Phage collections are essential tools for discovering and dissecting bacterial anti-phage defense systems. Here, we report the isolation, characterization, and annotated genome sequences of five environmental Escherichia coli-infecting phages, obtained during the 2023 Fundamentals of Basic and Applied Phage Biology course at Lund University. The phages were isolated using a motile E. coli K-12 B
Dryland ecosystems are globally important, yet state-of-the-art dynamic vegetation models often lack specific processes or parameterizations that are critical for accurately simulating dryland dynamics. These missing processes include a realistic calculation of soil water movement, detailed plant–water relations, or a representation of deep water uptake. In this study, we show how including a proc
Plants take up carbon dioxide (CO2) through photosynthesis. How this will change with rising CO2 concentrations in the atmosphere will strongly determine future climate change. An increase in the seasonal variations of atmospheric CO2 in recent decades indicates a positive trend in photosynthetic carbon uptake. We combined data-driven seasonal cycles of plant productivity with carbon sinks across
Accurately predicting terrestrial ecosystem responses to climate change over long-timescales is crucial for addressing global challenges. This relies on mechanistic modeling of ecosystem processes through land surface models (LSMs). Despite their importance, LSMs face significant uncertainties due to poorly constrained parameters, especially in carbon cycle predictions. This paper reviews the prog
Forests are an important component in the framework of nature-based solutions for mitigating climate change. However, there are still uncertainties about the biogeophysical effects of forest cover changes affecting heat and water fluxes as captured by Earth System Models (ESMs) simulations and observations. In this study, we investigate the differences in the surface temperature response to ideali
https://www.nateko.lu.se/sv/john-bergkvist - 2026-09-10
https://www.geologi.lu.se/william-hyde - 2026-09-10
https://www.geologi.lu.se/bingjie-yang - 2026-09-10
https://www.ehl.lu.se/timo-vilkas - 2026-09-10
https://www.ehl.lu.se/benjamin-weaver - 2026-09-10
https://www.ehl.lu.se/blerim-emruli - 2026-09-10
https://www.ehl.lu.se/christina-keller - 2026-09-10
https://www.ehl.lu.se/meng-zhang - 2026-09-10
