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Cardiovascular autonomic dysfunction (CVAD) is a malfunction of the cardiovascular system caused by deranged autonomic control of circulatory homeostasis. CVAD is an important component of post-COVID-19 syndrome, also termed long COVID, and might affect one-third of highly symptomatic patients with COVID-19. The effects of CVAD can be seen at both the whole-body level, with impairment of heart rat
The recently developed Phase-Scaled Reassignment (PSR) can estimate phase-difference between two oscillating transient signals with high accuracy. However, in low signal-to-noise ratios (SNRs) the performance of commonly applied reassignment techniques is known to deteriorate. In order to reduce variance in low SNR, we propose a multitaper PSR (mtPSR) method for phase-difference estimation between
While it is evident that photovoltaic installations are becoming more and more widespread globally, demand for them in the Russian market remains low. Considering recent changes in the legal framework, which are beneficial for households with renewable energy, it is crucial to evaluate photovoltaic installation's economic feasibility for the Russian context, which is evaluated in this article. Fir
Functional magnetic resonance imaging has suggested the possibility that hypoglycemia could interfere with neurovascular coupling. Here we discuss the implications of a study by Nippert and colleagues showing that hypoglycemia does not impair neurovascular coupling.
We investigated intermediary metabolism using 13C-glucose and 13C-acetate tracers followed by 13C-nuclear magnetic resonance (NMR) isotopomer analysis in rat hippocampal slice preparations, the most widely used preparation for electrophysiological studies. Slices displayed a stable metabolic activity over a wide range of superfusion periods in the absence or presence of 50 μM 4-aminopyridine (4AP)
The death literacy index (DLI) was developed in Australia to measure death literacy, a set of experience-based knowledge needed to understand and act on end-of-life (EOL) care options but has not yet been validated outside its original context. The aim of this study was to develop a culturally adapted Swedish-language version of the DLI, the DLI-S, and assess sources of evidence for its validity i
This Editorial highlights an interesting study in the current issue of the Journal of Neurochemistry in which Zhou et al. report new data showing that the ablation of serine racemase increases local insulin production in neurons of the hippocampus. The authors explored some of the possible mechanisms mediating the interaction between dampening production of D-serine and the local synthesis of insu
Purpose/Aim of the study: Diabetic retinopathy (DR) is a leading cause of blindness in working age adults in developed countries. Changes in metabolites and in metabolic pathways of the retina caused by hyperglycemia may compromise the physiology of the retina. Using nuclear magnetic resonance (NMR) spectroscopy, we aimed to investigate the effect of diabetes on the levels of intermediate metaboli
Diabetic encephalopathy is a recognized complication of untreated diabetes resulting in a progressive cognitive impairment accompanied by modification of hippocampal function. The purinergic system is a promising novel target to control diabetic encephalopathy since it might simultaneously control hippocampal synaptic plasticity and glucose handling. We now tested whether streptozotocin-induced di
In this paper we revisit the Time-of-Arrival self-calibration problem. In particular we focus on imbalanced problem instances where there are significantly more sources compared to the number of receivers, which is a common configuration in real applications. Using an implicit representation, we are able to re-parameterize the sensor node self-calibration problem using only the parameters of the r
We propose a variation of the forward–backward splitting method for solving structured monotone inclusions. Our method integrates past iterates and two deviation vectors into the update equations. These deviation vectors bring flexibility to the algorithm and can be chosen arbitrarily as long as they together satisfy a norm condition. We present special cases where the deviation vectors, selected
Coherence is a useful measure in many engineering applications. Here, we focus on the case where the input signal to a linear system can be measured free from noise, but the output signal is perturbed by noise. A novel expression for the expectation of a multitaper magnitude squared coherence estimate for this case is presented and verified through numerical evaluation. Additionally, the expressio
