Unsteady Viscous Flow Down an Inclined Open Channel with Naturally Permeable Bed

The exact velocity distribution for the flow of viscous incompressible fluid in an inclined channel with naturally permeable bed has been obtained by using the Laplace transform and the Finite Fourier Sine transform technique. It has been assumed that (i) the fluid flows in the steady state for t < 0, (ii) unsteady state occurs at t > 0, and (iii) unsteady state motion is influenced by time dependent pressure gradient

Compact analogue neural network: a new paradigm for neural based combinatorial optimisation

The authors present a new approach to neural based optimisation, to be termed as the compact analogue neural network (CANN), which requires substantially fewer neurons and interconnection weights as compared to the Hopfield net. They demonstrate that the graph colouring problem can be solved by using the CANN, with only O(N) neurons and O(N2) interconnections, where N is the number of nodes. In contrast, a Hopfield net would require N2 neurons and O(N4) interconnection weights. A novel scheme for realising the CANN in hardware form is discussed, in which each neuron consists of a modified phase locked loop (PLL), whose output frequency represents the colour of the relevant node in a graph. Interactions between coupled neurons cause the PLLs to equilibrate to frequencies corresponding to a valid colouring. Computer simulations and experimental results using hardware bear out the efficacy of the approach

Marriage in epilepsy: The impact of the question in knowledge, attitude, and practice surveys.

BACKGROUND: Knowledge, attitudes, and practice (KAP) questionnaire-based surveys have captured negative attitudes towards marriage involving people with epilepsy (PWE). The attitudes may vary according to the nature of the question posed, whether personal or generic, in addition to many other covariates. METHODS: We carried out meta-proportion and -regression analyses of epilepsy-related KAP surveys published between 1970 and 2016 in the medical literature analysis retrieval system online (MEDLINE) database. RESULTS: The pooled estimate of the proportion of those responding positively to the marriage question was 0.45 (95% confidence interval (95%CI): 0.35 to 0.54; I2res = 99.89%). The pooled proportion of positive responders to a personal question (0.40; 95%CI: 0.35 to 0.46) was significantly lower than those responding positively to a generic question (0.64; 95%CI: 0.57 to 0.70) (P = 0.001). When modeled individually in regression analyses, only the continent of origin of the survey (P = 0.001; tau2: 0.06; I2res: 99.8%; adjusted R2: 11.4%) and subject population type (P = 0.02; tau2: 0.07; I2res: 99.9%; adjusted R2: 4.2%) were associated with the pooled estimate of positive responders to the question on marriage. CONCLUSIONS: Personal questions probing the possibility of marriage of self or family members to someone with epilepsy bring about negative attitudes more often than generic questions inquiring the marriage-worthiness of PWE

Impact of Ground Truth Annotation Quality on Performance of Semantic Image Segmentation of Traffic Conditions

Preparation of high-quality datasets for the urban scene understanding is a labor-intensive task, especially, for datasets designed for the autonomous driving applications. The application of the coarse ground truth (GT) annotations of these datasets without detriment to the accuracy of semantic image segmentation (by the mean intersection over union - mIoU) could simplify and speedup the dataset preparation and model fine tuning before its practical application. Here the results of the comparative analysis for semantic segmentation accuracy obtained by PSPNet deep learning architecture are presented for fine and coarse annotated images from Cityscapes dataset. Two scenarios were investigated: scenario 1 - the fine GT images for training and prediction, and scenario 2 - the fine GT images for training and the coarse GT images for prediction. The obtained results demonstrated that for the most important classes the mean accuracy values of semantic image segmentation for coarse GT annotations are higher than for the fine GT ones, and the standard deviation values are vice versa. It means that for some applications some unimportant classes can be excluded and the model can be tuned further for some classes and specific regions on the coarse GT dataset without loss of the accuracy even. Moreover, this opens the perspectives to use deep neural networks for the preparation of such coarse GT datasets.Comment: 10 pages, 6 figures, 2 tables, The Second International Conference on Computer Science, Engineering and Education Applications (ICCSEEA2019) 26-27 January 2019, Kiev, Ukrain

A comparative study between manual vacuum aspiration and electronic suction for surgical treatment of abortion

Background: Present study is done to study the safety, efficacy and complications of using manual vacuum aspiration (MVA) for surgical management of first trimester abortion in comparison to electronic suction.Methods: It is a retrospective observational study conducted in department of obstetrics and gynecology at tertiary care hospital. Out of 100 cases taken, 50 abortions were terminated by MVA and 50 were terminated by electric suction/vacuum aspiration (EVA).Results: In this study, majority of the patients were primigravida (60%). Most of the patients had period of gestation between 7 to 9 weeks (40%) followed by up to 6 weeks (33%) in both groups. Time taken for the procedure was less in MVA (5-9 min.) than electronic suction (7-11 min.). In terms of complications, blood loss ≥100 ml was more with EVA (18%) compared to MVA (6%). Uterine perforation was seen with EVA (4%) and none with MVA. As far as success rate is concerned, EVA got 98% while MVA got 90%. Post-operative hospital stay was less with MVA (≤12 hours) than EVA (up to 24 hours). Post-operative pain perception was less with MVA (18% severe pain) while with EVA, 36% with severe pain.Conclusions: Both the evacuation techniques are almost equally effective and safe, still duration; post-operative pain and hospital stay are less with MVA. Success rate is better with EVA

Dynamics of osteoblasts during bone remodeling cycle

Bone is a dynamic connective tissue which adjusts to load variations through continuous bone remodeling, which occurs due to the dynamic behavior of bone cells. Many researchers made attempts in obtaining the dynamic characteristics of osteoblasts and its role in bone remodeling cycle. While making an effort to understand the effects of mechanical stimuli on the osteoblast, certain ambiguity is observed in the past literatures. This paper is to demonstrate the dynamics of osteoblast cells and exhibition of different natural frequencies during its life cycle. Osteoblast is modeled as a frustum of a sphere, considering it as a continuum model. The three prominent parts of an osteoblast, i.e., membrane, cytoplasm and nucleus are considered with reported material properties. Lifespan of an active osteoblast during bone remodeling cycle is considered as 90 days and progressive osteoblast stages are analysed using Ansys. First ten natural frequencies and mode shapes are extracted for nine stages and reported. It is observed that the natural frequencies of a micron sized osteoblast are in the range of kHz. A mathematical relation for the lifespan of an active osteoblast is obtained using curve fitting for fundamental natural frequencies. The natural frequency for exciting an active osteoblast on each particular day during its lifespan can be derived from the relation. This relation can serve as a guiding tool in bioengineering for in vitro bone cell culturing. Results also throw light on the excitation frequency and natural frequency of an osteoblast for proper analysis purpose. The different modes of vibration of osteoblast is identified and reported

Modelling and simulation of VSC-HVDC connection for offshore wind power plants

Several large offshore wind power plants (WPP) are planned in the seas around Europe. VSC-HVDC is a suitable means of integrating such large and distant offshore WPP which need long submarine cable transmission to the onshore grid. Recent trend is to use large wind turbine generators with full scale converters to achieve an optimal operation over a wide speed range. The offshore grid then becomes very much different from the conventional power system grid, in the sense that it is connected to power electronic converters only. A model of the wind power plant with VSC-HVDC connection is developed in PSCAD for time-domain dynamic simulation. This paper presents the modelling and simulation of such a system. A single line to ground fault has been simulated and fault currents for the grounded and ungrounded offshore grid system is obtained through simulation and then compared.Postprint (published version

Does co-transcriptional regulation of alternative splicing mediate plant stress responses?

Plants display exquisite control over gene expression to elicit appropriate responses under normal and stress conditions. Alternative splicing (AS) of pre-mRNAs, a process that generates two or more transcripts from multi-exon genes, adds another layer of regulation to fine-tune condition-specific gene expression in animals and plants. However, exactly how plants control splice isoform ratios and the timing of this regulation in response to environmental signals remains elusive. In mammals, recent evidence indicate that epigenetic and epitranscriptome changes, such as DNA methylation, chromatin modifications and RNA methylation, regulate RNA polymerase II processivity, co-transcriptional splicing, and stability and translation efficiency of splice isoforms. In plants, the role of epigenetic modifications in regulating transcription rate and mRNA abundance under stress is beginning to emerge. However, the mechanisms by which epigenetic and epitranscriptomic modifications regulate AS and translation efficiency require further research. Dynamic changes in the chromatin landscape in response to stress may provide a scaffold around which gene expression, AS and translation are orchestrated. Finally, we discuss CRISPR/Cas-based strategies for engineering chromatin architecture to manipulate AS patterns (or splice isoforms levels) to obtain insight into the epigenetic regulation of AS

Solar Cells, Lambert W and the LogWright Functions

Algorithms that calculate the current-voltage (I-V) characteristics of a solar cell play an important role in processes that aim to improve the efficiency of a solar cell. I-V characteristics can be obtained from different models used to represent the solar cell, and the single diode model is a simple yet accurate model for common field implementations. However, the I-V characteristics are obtained by solving implicit equations, which involve repeated iterations and inherent errors associated with numerical methods used. Some methods use the Lambert W function to get an exact explicit formula, but often causes numerical overflow problems. The present work discusses an algorithm to calculate I-V characteristics using the LogWright function, a transformation of the Lambert W function, which addresses the problem of arithmetic overflow that occurs in the Lambert W implementation. An implementation of this algorithm is presented and compared against other algorithms in the literature. It is observed that in addition to addressing the numerical overflow problem, the algorithm based on the LogWright function offers speed benefits while retaining high precision

Viral aetiology of acute respiratory infections in children in North India

Two hundred and thirty children clinically diagnosed as suffering from acute respiratory infection were tested for four major groups of viral aetiological agents, i.e. influenza para-influenza, respiratory syncytial virus (RSV) and adenoviruses using indirect immunofluorescence technique. At least one of the respiratory viruses was identified in 51 (22 per cent) specimens, which included influenza A in 6 (3 per cent), influenza B in 3 (1 per cent), para-influenza type 1 in 3 (1 per cent), para-influenza type 3 in 13 (6 per cent), RSV in 11 (5 per cent) adenovirus in 12 (5 per cent), and dual virus infections in 3 (1 per cent) cases. Maximum number of virus identification was noted in children below 1 year of age, particularly infection with RSV followed by para-influenza and adenoviruses. Value of rapid diagnosis by indirect immunofluorescence technique is stressed