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Economic Feasibility of PV Installations for Multifamily Houses in Moscow

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

Different metabolism of glutamatergic and GABAergic compartments in superfused hippocampal slices characterized by nuclear magnetic resonance spectroscopy

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)

Validation of a culturally adapted Swedish-language version of the Death Literacy Index

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

Serine racemase modulation for improving brain insulin resistance : An Editorial Highlight for “Deletion of serine racemase reverses neuronal insulin signaling inhibition by amyloid-β oligomers”

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

Evaluation of the impact of diabetes on retinal metabolites by NMR spectroscopy

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

Modification of purinergic signaling in the hippocampus of streptozotocin-induced diabetic rats

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

Efficient Time-of-Arrival Self-Calibration using Source Implicitization

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

Incorporating history and deviations in forward–backward splitting

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 Expectation Minimisation and Combining Weighted Multitaper Estimates

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

Stochastic Geometry Analysis of a New GSCM with Dual Visibility Regions

The geometry-based stochastic channel models (GSCM), which can describe realistic channel impulse responses, often rely on the existence of both local and far scatterers. However, their visibility from both the base station (BS) and mobile station (MS) depends on their relative heights and positions. For example, the condition of visibility of a scatterer from the perspective of a BS is different