Pump-probe polarized transient hole burning (PTHB) dynamics of hydrated electron revisited

Femtosecond PTHB spectroscopy was expected to demonstrate the existence of distinct s-p absorption subbands originating from the three nondegenerate p-like excited states of hydrated electron in anisotropic solvation cavity. Yet no conclusive experimental evidence either for this subband structure or the reorientation of the cavity on the picosecond time scale has been obtained. We demonstrate that rapid reorientation of s-p transition dipole moments in response to small scale motion of water molecules is the likely culprit. The polarized bleach is shown to be too small and too short lived to be observed reliably on the sub-picosecond time scale.Comment: 10 pages + 3 figures + supplement, will be submitted shortly to Chem. Phys. Let

Motor learning in real-world pool billiards

The neurobehavioral mechanisms of human motor-control and learning evolved in free behaving, real-life settings, yet this is studied mostly in reductionistic lab-based experiments. Here we take a step towards a more real-world motor neuroscience using wearables for naturalistic full-body motion-tracking and the sports of pool billiards to frame a real-world skill learning experiment. First, we asked if well-known features of motor learning in lab-based experiments generalize to a real-world task. We found similarities in many features such as multiple learning rates, and the relationship between task-related variability and motor learning. Our data-driven approach reveals the structure and complexity of movement, variability, and motor learning, enabling an in-depth understanding of the structure of motor learning in three ways: First, while expecting most of the movement learning is done by the cue-wielding arm, we find that motor learning affects the whole body, changing motor-control from head to toe. Second, during learning, all subjects decreased their movement variability and their variability in the outcome. Subjects who were initially more variable were also more variable after learning. Lastly, when screening the link across subjects between initial variability in individual joints and learning, we found that only the initial variability in the right forearm supination shows a significant correlation to the subjects’ learning rates. This is in-line with the relationship between learning and variability: while learning leads to an overall reduction in movement variability, only initial variability in specific task-relevant dimensions can facilitate faster learning

Awareness of Medical Workers with Early Diagnosis of Cognitive Disorders at the Primary Health Care Level in the Republic of Kazakhstan

   BACKGROUND: Early detection of cognitive impairments (CIs) has been identified as one of the most important factors for the treatment of the disease. The World Alzheimer report 2011 states that the earlier a diagnosis is known, the better patients can be treated medically, patients and their family members can adapt to the development and learn to deal with the disease. Early diagnosis also leads to higher cost-effectivity, which will further improve, when treatments and social care interventions become more effective in future. It is the first-contact doctor who becomes the main figure in identifying the patient’s cognitive disorders. AIM: This study aimed to research the awareness of medical workers with early diagnosis of cognitive disorders at the PHC level in Kazakhstan. METHODS: It was a cross-sectional study. A survey of primary healthcare workers was conducted to study the early diagnosis of CI in the elderly in the period from December 2019 to March 2020. The questionnaire was developed independently according to international finding and experiences and passed the validation process. The questionnaire included questions such as age, gender, nationality, education, specialty, work experience, conduct early diagnosis of CI or not, what methods respondents know, time available for admission for early diagnosis, desire to learn early diagnosis methods, and the region of residence. RESULTS: The total number of respondents was 823. To the question, “Do you check older patients for early cognitive impairment?” 335 (40.7%) answered “no.” To the question “Do you have time to use methods for the early diagnosis of cognitive impairment in the elderly during admission?” “no” – 354 (43%). To the question “Would you like to learn methods for the early diagnosis of cognitive impairment in the elderly?” The answer was “yes” 759 (92.2%) of respondents. This study reveals that the presence of time during admission, the region of residence, and the desire to study affect whether elder people check for early CI or not, in turn, specialty, education, gender, nationality, age, and work experience do not affect. We have identified a relationship of age, region of residence with the availability of time during admission to use methods for early diagnosis of CI, while it was absent with work experience. The region of residence, the availability of time during admission, and education influenced the respondents’ desire to learn early diagnosis methods, while age and work experience did not. CONCLUSION: The problem of early diagnosis of CI in the elderly at the PHC level is relevant and not fully understood. Early detection of CI at the PHC level is a key element in the fight against such a serious condition as dementia

Enhancement efficiency of polymer solar cells by incorporating metal oxide nanoparticles

Gold nanoparticles (AuNPs) deposited at the interface of the hole-collecting buffer layer [poly(3,4ethylenedioxythiophene):poly(styrenesulfonate)(PEDOT:PSS)] and regiore-gular poly (3-hexylthiophene) :[6,6]-phenylC61-butyricacidmethylester(rr-P3HT):(PCBM) active layer were found to significantly increase solar cell performance. The photo-physical properties of these devices incorporated with AuNPs with different space distributions in the interface of PEDOT:PSS buffer layer and P3HT:PCBM active layer are investigated. We find that, the optical property is improved as the AuNPs are large enough to penetrate into the active layer and the performance of Photovoltaic solar cells (PSCs) with large AuNPs can benefit from the improved hole collection efficiency. The efficiency enhancement for the device with a PEDOT:PSS: AuNPs film is more significant than for the device with PEDOT:PSS film. Keywords: PEDOT:PSS, Buffer layer, P3HT:PCBM, Gold oxide nanoparticle

Kazakh Text Generation using Neural Bag-of-Words Model for Sentiment Analysis

Text generation plays an important role in making decisions in business. Analyzing the consumer’s feedback provides a complete picture of the problem with a definite direction. However, sentimental analyses of reviews in the Kazakh language are not widely cultivated. In this paper, we introduce the Kazakh text generation using the Bag-of-Words model (BoW) models for analyzing the opinions of consumers in social networks. The use of proposed models in natural language processing consists of four stages: data collection, cleaning data, building model, and model evaluation. The proposed BoW model is supported by the platform - Colab notebook and implemented using the python language. Based on experimental results, defined method with higher efficiency as compared to other existing analogs

Weather radar for urban hydrological applications: lessons learnt and research needs identified from 4 pilot catchments in North-West Europe

International audienceThis study investigates the impact of rainfall estimates of different spatial resolutions on the hydraulic outputs of the models of four of the EU RainGain project’s pilot locations (the Cranbrook catchment (UK), the Herent catchment (Belgium), the Morée-Sausset catchment (France) and the Kralingen District (The Netherlands)). Two storm events, one convective and one stratiform, measured by a polarimetric X-band radar located in Cabauw (The Netherlands) were selected for analysis. The original radar estimates, at 100 m and 1 min resolutions, were aggregated to a spatial resolution of 1000 m. These estimates were then applied to the high-resolution semi-distributed hydraulic models of the four urban catchments, all of which have similar size (between 5 and 8 km2), but different morphological, hydrological and hydraulic characteristics. When doing so, methodologies for standardising rainfall inputs and making results comparable were implemented. The response of the different catchments to rainfall inputs of varying spatial resolution is analysed in the light of model configuration, catchment and storm characteristics. Rather surprisingly, the results show that for the two events under consideration the spatial resolution (i.e. 100 m vs 1000 m) of rainfall inputs does not have a significant influence on the outputs of urban drainage models. The present study will soon be extended to more storms as well as model structures and resolutions, with the final aim of identifying critical spatial-temporal resolutions for urban catchment modelling in relation to catchment and storm event characteristics

Large N Free Energy of 3d N=4 SCFTs and AdS/CFT

We provide a non-trivial check of the AdS_4/CFT_3 correspondence recently proposed in arXiv:1106.4253 by verifying the GKPW relation in the large N limit. The CFT free energy is obtained from the previous works (arXiv:1105.2551, arXiv:1105.4390) on the S^3 partition function for 3-dimensional N=4 SCFT T[SU(N)]. This is matched with the computation of the type IIB action on the corresponding gravity background. We unexpectedly find that the leading behavior of the free energy at large N is 1/2 N^2 ln N. We also extend our results to richer theories and argue that 1/2 N^2 ln N is the maximal free energy at large N in this class of gauge theories.Comment: 20 pages, 3 figure

Quantifying uncertainty in simulation of sewer overflow volume

Environmental regulators frequently stipulate the modeling approaches required for water utilities managing sewer networks to demonstrate regulatory compliance. The performance of drainage systems with regard to combined sewer overflow (CSO) discharges is required to be assessed using urban drainage models to prove compliance before large investments can be authorized. However, as far as the authors are aware, the modeling approaches to demonstrate regulatory compliance currently provide no opportunity for considering model uncertainty. This paper therefore addresses a knowledge gap in the role of model uncertainty in environmental compliance studies by describing an objective uncertainty quantification process that enables the water utilities to evaluate and report the uncertainty in their modeling predictions and that is also transparent enough to satisfy regulators. The sewer network was modeled in InfoWorks CS software using a design storm defined by the regulator to test the performance of CSOs. Uncertainty in the model and input parameters was propagated using Monte Carlo simulations with Latin hypercube sampling, and the results were presented to show the trade-off between the infrastructure investment and the risk of spilling