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Transmission electron microscopy at very low energy is a promising way to avoid damaging delicate biological samples with the incident electrons, a known problem in conventional transmission electron microscopy. For imaging in the 0-30 eV range, we added a second electron source to a low energy electron microscopy (LEEM) setup, enabling imaging and spectroscopy in both transmission and reflection mode at nanometer (nm) resolution. The latter is experimentally demonstrated for free-standing graphene. Exemplary eV-TEM micrographs of gold nanoparticles suspended on graphene and of DNA origami rectangles on graphene oxide further establish the capabilities of the technique. The long and short axes of the DNA origami rectangles are discernable even after an hour of illumination with low energy electrons. In combination with recent developments in 2D membranes, allowing for versatile sample preparation, eV-TEM is paving the way to damage-free imaging of biological samples at nm resolution.The left fusiform cortex has been identified as a crucial structure in visual word learning and memory. Nevertheless, the specific roles of the fusiform subregions in word memory and their consistency across different writings have not been elaborated. To address these questions, the present study performed two experiments, in which study-test paradigm was used. Participants' brain activity was measured with fMRI while memorizing novel logographic words in Experiment 1 and novel alphabetic words in Experiment 2. A post-scan recognition memory test was then administered to acquire the memory performance. Results showed that, neural responses in the left anterior and middle fusiform subregions during encoding were positively correlated with recognition memory of novel words. Moreover, the positive brain-behavior correlations in the left anterior and middle fusiform cortex were evident for both logographic and alphabetic writings. The present findings clarify the relationship between the left fusiform subregions and novel word memory.Efficient and robust motion perception systems are important pre-requisites for achieving visually guided flights in future micro air vehicles. As a source of inspiration, the visual neural networks of flying insects such as honeybee and Drosophila provide ideal examples on which to base artificial motion perception models. In this paper, we have used this approach to develop a novel method that solves the fundamental problem of estimating angular velocity for visually guided flights. Compared with previous models, our elementary motion detector (EMD) based model uses a separate texture estimation pathway to effectively decode angular velocity, and demonstrates considerable independence from the spatial frequency and contrast of the gratings. Using the Unity development platform the model is further tested for tunnel centering and terrain following paradigms in order to reproduce the visually guided flight behaviors of honeybees. In a series of controlled trials, the virtual bee utilizes the proposed angular velocity control schemes to accurately navigate through a patterned tunnel, maintaining a suitable distance from the undulating textured terrain. The results are consistent with both neuron spike recordings and behavioral path recordings of real honeybees, thereby demonstrating the model's potential for implementation in micro air vehicles which have only visual sensors.
The rising incidence of urinary tract infections (UTIs) attributable to Escherichia coli resistant isolates is becoming a serious public health concern. Although global rates of infection vary considerably by region, the growing prevalence of this uropathogen has been associated with a high economic burden and health strain. This study aims (1) to estimate the differences in clinical and economic outcomes between 2 groups of adult hospitalized patients with UTIs from E.coli resistant and susceptible bacteria and (2) to investigate drivers of this cost from a payer's perspective.
A prospective multicenter cohort study was conducted in 10 hospitals in Lebanon. The cost analysis followed a bottom-up microcosting approach; a linear regression was constructed to evaluate the predictors of hospitalization costs and a Cox proportional hazards model was used to estimate the impact of resistance on length of stay (LOS) and in-hospital mortality.
Out of 467 inpatients, 250 cases were because of resistant E.coli isolates. Results showed that patients with resistant uropathogens had 29% higher mean total hospitalization costs ($3429 vs $2651; P= .004), and an extended median LOS (6 days vs 5 days; P= .020) compared with susceptible cohorts. The selection of resistant bacteria and the Charlson comorbidity index predicted higher total hospitalization costs and in-hospital mortality.
In an era of increased pressure for cost containment, this study showed the burden of treating UTIs resulting from resistant bacteria. The results can inform cost-effectiveness analyses that intend to evaluate the benefit of a national action plan aimed at decreasing the impact of antibiotic resistance.
In an era of increased pressure for cost containment, this study showed the burden of treating UTIs resulting from resistant bacteria. The results can inform cost-effectiveness analyses that intend to evaluate the benefit of a national action plan aimed at decreasing the impact of antibiotic resistance.Objectives In recent years, there has been significant interest in recovering the temporal envelope of a speech signal from the neural response to investigate neural speech processing. The research focus is now broadening from neural speech processing in normal-hearing listeners towards hearing-impaired listeners. When testing hearing-impaired listeners, speech has to be amplified to resemble the effect of a hearing aid and compensate for peripheral hearing loss. OligomycinA Today it is not known with certainty how or if neural speech tracking is influenced by sound amplification. As these higher intensities could influence the outcome, we investigated the influence of stimulus intensity on neural speech tracking. Design We recorded the electroencephalogram (EEG) of 20 normal-hearing participants while they listened to a narrated story. The story was presented at intensities from 10 to 80 dB A. To investigate the brain responses, we analyzed neural tracking of the speech envelope by reconstructing the envelope from the EEG using a linear decoder and by correlating the reconstructed with the actual envelope.
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