Assessment of Phytochemicals, Antioxidant Activity and Enzyme Production of Endophytic Fungi Isolated from Medicinal Plant Sources

Endophytic fungi are mitosporic and meiosporic ascomycetes that asymptomatically reside in the internal tissues of plants beneath the epidermal cell layer, where fungi colonise healthy and living tissue via quiescent infections. Endophytes are important components of microbial diversity. Endophytic fungi isolated from medicinal plants more likely exhibit pharmaceutical potentials. These plentiful natural products isolated from endophytes represent a huge reservoir which offers an enormous potential for exploitation for medicinal, agricultural and industrial uses. There has been a great interest in endophytic fungi as potential producers of novel, biologically active products. Endophytes are believed to carry out a resistance mechanism to overcome pathogenic invasion by producing secondary metabolites. Globally, there are at least one million species of endophytic fungi in all plants which can potentially provide a variety of structurally unique natural products such as alkaloid, benzopyranones, chinones, flavanoids, phenols, steroids, xanthones and others. Therefore, there is an ample opportunity to unearth novel and interesting endophytic microorganisms with significant therapeutic efficacy. The objectives of our current study are to isolate endophytic fungi from specific medicinal plants found locally and carry out their characterization and isolation, followed by qualitative and quantitative assessment of secondary metabolites produced by them and study their antioxidant and enzyme activities. The present study, therefore would highlight the growing concept that the bioactive compounds produced by the endophytes not only establishes host endophyte relationship but also have an immense chance of application in the field of medicine, agriculture and industry

Respondent or non-respondent comparison post cardiac resynchronisation therapy implantation in patients with dilated cardiomyopathy

Background: Dilated cardiomyopathy can be treated using cardiac resynchronisation therapy (CRT) effectively. In our study, we compared the clinical and biochemical profile of responders and non-responders to CRT device (CRTD) implantation suffering from DCM. Methods: A cross-sectional observational study was performed in 47 patients with dilated cardiomyopathy for CRTD implantation for a period of 18 months. The tools used for the study include electrocardiography 12 lead, echocardiography: 2D, M mode, Doppler, strain echo, Holter monitoring, coronary angiography and CRTD implantation. Statistical analysis was performed using Epi Info (TM) 7.2.2.2. Results: The proportion of responders (68.1%) was significantly higher than non-responder (31.9%). Almost 60% of patients in non-responder group had smoking as a risk factor. Around 60% were suffering from hypertension and 33% from T2DM in non-respondent group. Parameters of dyssynchrony has significantly improved in responder group than in non-responder group. LVEDV, LVESV has shown an increase and EF has decreased considerably in DCM patients. Many patients in non-responder category have shown mitral and tricuspid regurgitation. Strain echocardiography parameters-GLS, GRS and GCS were significantly decreased. Post CRTD echocardiographic parameter has improved considerably and LVESV was reduced in more than 15% of responders. Conclusions: The CRTD implantation improves patients’ clinical and Echocardiographic data which can help in better patient management, improving quality of life and decreased healthcare cost. By this study we can improve patients’ selection and predict accordingly for CRT responders and non-responders and can take necessary measures for better patient’s management

LiSHT: Non-Parametric Linearly Scaled Hyperbolic Tangent Activation Function for Neural Networks

The activation function in neural network is one of the important aspects which facilitates the deep training by introducing the non-linearity into the learning process. However, because of zero-hard rectification, some of the existing activation functions such as ReLU and Swish miss to utilize the large negative input values and may suffer from the dying gradient problem. Thus, it is important to look for a better activation function which is free from such problems. As a remedy, this paper proposes a new non-parametric function, called Linearly Scaled Hyperbolic Tangent (LiSHT) for Neural Networks (NNs). The proposed LiSHT activation function is an attempt to scale the non-linear Hyperbolic Tangent (Tanh) function by a linear function and tackle the dying gradient problem. The training and classification experiments are performed over benchmark Iris, MNIST, CIFAR10, CIFAR100 and twitter140 datasets to show that the proposed activation achieves faster convergence and higher performance. A very promising performance improvement is observed on three different type of neural networks including Multi-layer Perceptron (MLP), Convolutional Neural Network (CNN) and Recurrent neural network like Long-short term memory (LSTM). The advantages of proposed activation function are also visualized in terms of the feature activation maps, weight distribution and loss landscape. The code is available at https://github.com/swalpa/lisht.Comment: Submitted to IET Image Processin

Size class homogeneity of repeat lengths and evolutionary divergence of ribosomal RNA genes in fishes as studied by restriction fragment length analysis

Fish ribosomal RNA genes (rDNA) have been compared by restriction endonuclease digestion followed by Southern hybridization using rRNA or cloned rRNA genes as labelled probes. In several species belonging to the orders Cypriniformes and Perciformes, the simple restriction patterns revealed a high degree of size class homogeneity among the rDNA repeats and similar restriction map within a species. Different species have different restriction patterns and fragment lengths arising mostly out of different length of the nontranscribed spacer. Polymorphic restriction sites are present in some species. The species-specific differences in fragment lengths produced in rDNA by some restriction enzymes can thus be used to study interspecific fish hybrids

Automation of Indian Postal Documents written in Bangla and English

International audienceIn this paper, we present a system towards Indian postal automation based on pin-code and city name recognition. Here, at first, using Run Length Smoothing Approach (RLSA), non-text blocks (postal stamp, postal seal, etc.) are detected and using positional information Destination Address Block (DAB) is identified from postal documents. Next, lines and words of the DAB are segmented. In India, the address part of a postal document may be written by combination of two scripts: Latin (English) and a local (State/region) script. It is very difficult to identify the script by which pin-code part is written. To overcome this problem on pin-code part, we have used two-stage artificial neural network based general scheme to recognize pin-code numbers written in any of the two scripts. To identify the script by which a word/city name is written, we propose a water reservoir concept based feature. For recognition of city names, we propose an NSHP-HMM (Non- Symmetric Half Plane-Hidden Markov Model) based technique. At present, the accuracy of the proposed digit numeral recognition module is 93.14% while that of city name recognition scheme is 86.44%

Fundamental genomic unity of ethnic India is revealed by analysis of mitochondrial DNA

Mitochondrial DNA (mtDNA) profiles of 23 ethnic populations of India drawn from diverse cultural, linguistic and geographical backgrounds are presented. There is extensive sharing of a small number of mtDNA haplotypes, reconstructed on the basis of restriction fragment length polymorphisms, among the populations. This indicates that Indian populations were founded by a small number of females, possibly arriving on one of the early waves of out-of-Africa migration of modern humans; ethnic differentiation occurred subsequently through demographic expansions and geographic dispersal. The Asian-specific haplogroup M is in high frequency in most populations, especially tribal populations and Dravidian populations of southern India. Populations in which the frequencies of haplogroup M are relatively lower show higher frequencies of haplogroup U; such populations are primarily caste populations of northern India. This finding is indicative of a higher Caucasoid admixture in northern Indian populations. By examining the sharing of haplotypes between Indian and south-east Asian populations, we have provided evidence that south-east Asia was peopled by two waves of migration, one originating in India and the other originating in southern China. These findings have been examined and interpreted in the light of inferences derived from previous genomic and historical studies