High-performance deep spiking neural networks with 0.3 spikes per neuron

Communication by rare, binary spikes is a key factor for the energy efficiency of biological brains. However, it is harder to train biologically-inspired spiking neural networks (SNNs) than artificial neural networks (ANNs). This is puzzling given that theoretical results provide exact mapping algorithms from ANNs to SNNs with time-to-first-spike (TTFS) coding. In this paper we analyze in theory and simulation the learning dynamics of TTFS-networks and identify a specific instance of the vanishing-or-exploding gradient problem. While two choices of SNN mappings solve this problem at initialization, only the one with a constant slope of the neuron membrane potential at threshold guarantees the equivalence of the training trajectory between SNNs and ANNs with rectified linear units. We demonstrate that training deep SNN models achieves the exact same performance as that of ANNs, surpassing previous SNNs on image classification datasets such as MNIST/Fashion-MNIST, CIFAR10/CIFAR100 and PLACES365. Our SNN accomplishes high-performance classification with less than 0.3 spikes per neuron, lending itself for an energy-efficient implementation. We show that fine-tuning SNNs with our robust gradient descent algorithm enables their optimization for hardware implementations with low latency and resilience to noise and quantization

Characterization of copper-based shape memory alloy with zinc and aluminum

Copper-based shape memory alloy with zinc and aluminum was manufactured, plastically deformed, heat treated and characterized in terms of the physico-mechanical, structural and micro-structural investigation. Typical martensitic microstructure with twins is revealed by the optical and electron microscopy. The presence of marten site in the structure was further confirmed through an X-ray diffraction. Toughness and hardness of the alloy are investigated, too. Optimal properties are obtained for the condition of the alloy that was subjected to the heat treatment according to the following scheme: annealing at 8500C and 9000C (10 min) + quenched in water + aging at 4000C (1 hour) + air cooling

EGFR mutation testing from pleural effusions of non-small cell lung cancer patients at the institute for oncology and radiology of Serbia

Background: The use tumor-derived cell-free DNA extracted from body fluids is being evaluated for genetic testing in lung cancer. The aim of this study was to explore the feasibility and utility of implementation of EGFR molecular testing from pleural effusions in non-small cell lung cancer in the clinical diagnostics workflow.// Patients and methods: This study included patients diagnosed with primary lung adenocarcinoma in the period July 2016 to June 2023. EGFR mutation testing was performed by qPCR (Cobas®) and dPCR. Testing was performed from 211 plasma samples when tissue was unavailable at diagnosis, and from 301 plasma samples and 18 pleural effusions at progression on first/second generation of EGFR TKIs. Descriptive methods of statistical analysis were used to summarize the sample data. Fisher's exact test, McNemar's test, Cohen's kappa tests were used for statistical analyses. Two-sided p-values <0.05 were considered statistically significant.// Results: A significantly higher detection rate of the T790M mutation in pleural effusion was obtained compared to blood (50% and 20%, p=0.047). When comparing the detection success rate of the resistant T790M mutation in pleural effusion and blood, a statistically significant difference was obtained in favor of pleural effusion (50% vs. 21.87%, p=0.01).// Conclusions: Superior performance of pleural effusions compared to blood plasma was shown both in the analysis of success rate and in the detection of the resistant T790M mutation, at progression on EGFR TKIs. Pleural effusion should be considered in this setting whenever available, especially in countries with limited health resources

Vegetation degradation promotes the invasion potential of Impatiens glandulifera in an oligotrophic mountain habitat

An annual plant Himalayan balsam (Impatiens glandulifera Royle) is globally widespread and one of the Europe’s well-investigated top invaders. Yet, there is very limited knowledge on the effects of environment on the invasion potential of this species. We focused on two questions: does this species indeed not invade the southern areas of the continent; and, does the environment affect some of its key invasibility traits. In an isolated model valley (Sharr mountain, Western Balkans), we jointly analyzed the soil (21 parameter), the life history traits of the invader (height, stem diameter, aboveground dw), and the resident vegetation (species composition and abundances, Ellenberg indicator values), and supplemented it by the local knowledge (semi-structured interviews). Uncontrolled discharge of fecal wastewaters directly into the local dense hydrological network fostered mass infestation of an atypical, nutrient poor habitat. The phenotypic plasticity of the measured invasion-related traits was very high in the surveyed early invasion (30-50% invader cover) stages. Different microhabitat conditions consistently correlated with its growth performance. The largest individuals were restricted to the deforested riparian habitats with extreme soil nutrient enrichment (primarily by P and K) and low-competitive, species-poor resident vegetation. We showed that ecological context can modify invasion-related traits, what could affect further invasion process. Finally, this species is likely underreported in the wider region; public attitude and loss of traditional ecological knowledge are further management risks

High frequency of the R75Q CFTR variation in patients with chronic obstructive pulmonary disease

AbstractWe performed the complete screening of the CFTR gene in a group of 31 patients with COPD in order to investigate the impact of mutations and polymorphisms in the CFTR gene. The cumulative frequency of CFTR mutations (17.74%) was significantly higher than in our general population (P<0.0001). The R75Q was significantly overrepresented in COPD patients (8.06%; P=0.002). In all patients carrying the R75Q chronic bronchitis was a dominant symptom of COPD, and all were homozygous for the V470 allele. These findings suggest that R75Q mutation could be characteristic CFTR variant for COPD patients

Modelling cholesterol effects on the dynamics of the hypothalamic-pituitary-adrenal (HPA) axis

A mathematical model of the hypothalamic-pituitary-adrenal (HPA) axis with cholesterol as a dynamical variable was derived to investigate the effects of cholesterol, the primary precursor of all steroid hormones, on the ultradian and circadian HPA axis activity. To develop the model, the parameter space was systematically examined by stoichiometric network analysis to identify conditions for ultradian oscillations, determine conditions under which dynamic transitions, i.e. bifurcations occur and identify bifurcation types. The bifurcations were further characterized using numerical simulations. Model predictions agree well with empirical findings reported in the literature, indicating that cholesterol levels may critically affect the global dynamics of the HPA axis. The proposed model provides a base for better understanding of experimental observations, it may be used as a tool for designing experiments and offers useful insights into the characteristics of basic dynamic regulatory mechanisms that, when impaired, may lead to the development of some modern-lifestyle-associated diseases

Dynamic transitions in a model of the hypothalamic-pituitary-adrenal axis

Dynamic properties of a nonlinear five-dimensional stoichiometric model of the hypothalamicpituitary-adrenal (HPA) axis were systematically investigated. Conditions under which qualitative transitions between dynamic states occur are determined by independently varying the rate constants of all reactions that constitute the model. Bifurcation types were further characterized using continuation algorithms and scale factor methods. Regions of bistability and transitions through supercritical Andronov-Hopf and saddle loop bifurcations were identified. Dynamic state analysis predicts that the HPA axis operates under basal (healthy) physiological conditions close to an Andronov-Hopf bifurcation. Dynamic properties of the stress-control axis have not been characterized experimentally, but modelling suggests that the proximity to a supercritical Andronov-Hopf bifurcation can give the HPA axis both, flexibility to respond to external stimuli and adjust to new conditions and stability, i.e., the capacity to return to the original dynamic state afterwards, which is essential for maintaining homeostasis. The analysis presented here reflects the properties of a low-dimensional model that succinctly describes neurochemical transformations underlying the HPA axis. However, the model accounts correctly for a number of experimentally observed properties of the stress-response axis. We therefore regard that the presented analysis is meaningful, showing how in silico investigations can be used to guide the experimentalists in understanding how the HPA axis activity changes under chronic disease and/or specific pharmacological manipulations

Response Factors to Pegylated Interferon-Alfa/Ribavirin Treatment in Chronic Hepatitis C Patients Genotype 1b

Hepatitis C virus infection is the most common chronic blood-borne infection and one of the most important causes of chronic liver disease. Knowing the predictors associated with pegylated interferon/ribavirin (PEG-IFN/RBV) combination therapy response is important for evidence-based treatment recommendations. The goal of this study was to identify host and viral factors of response to PEG-IFN/RBV treatment in chronic hepatitis C genotype 1b patients. We have examined the relationship between gender, age, level of alanine aminotransferase (ALT), viral load and liver fibrosis progression on therapy response. ALT level and viral load were evaluated before starting treatment with combination therapy. The elevated levels of ALT and route of HCV transmission were found to be significantly associated with the response to therapy in HCV-infected patients. Our findings may be useful for estimating a patients likelihood Of achieving sustained viral response