Effect of biofertilizers and micronutrients on growth, leaf yield and quality of coriander (Coriandrum sativum L.) cv. Sadhana

A field experiment was conducted during rabi 2015-16 at Research Farm, College of Horticulture, Dr.Y.S.R. Horticultural University, Anantharajupeta (Andhra Pradesh), India, to study the effect of different biofertilizers and micronutrients on growth, leaf yield and quality of coriander (Coriandrum sativum L.) cv. Sadhana. The experiment was conducted in a factorial randomized block design with biofertilizers and micronutrients. The biofertilizer treatments were seed inoculation with Azospirillum, Phosphate Solubilising Bacteria (PSB), Azospirillum + Phosphate Solubilising Bacteria (PSB) and control (without any biofertilizer), while the micronutrient treatments comprised of foliar sprays of Zinc sulphate, Copper sulphate, Ferrous sulphate each at @ 0.5% and control (without any micronutrient). The sixteen treatment combinations were replicated thrice. Among the treatments, seed inoculation with Azospirillum + PSB+ foliar spray of zinc sulphate @ 0.5% recorded maximum plant height, number of primary branches, leaf area, fresh leaf yield per plant, leaf yield per plot, leaf yield per hectare, dry matter production, protein content, ascorbic acid content and moisture content. While, the lowest days to germination and leaf chlorophyll contents were recorded with the seed inoculation of Azospirillum + PSB + foliar spray of ferrous sulphate @ 0.5%

Spammers Detection on Twitter by Automated Multi Level Detection System

Twitter is one of the most well known micro-blogging administrations, which is commonly used to share news and updates through short messages confined to 280 characters. In any case, its open nature and huge client base are every now and again misused via robotized spammers, content polluters, and other not well expected clients to carry out different cyber violations, for example, cyber bullying, trolling, rumor dissemination, and stalking. Likewise, various methodologies have been proposed by specialists to address these issues. Nonetheless, the majority of these methodologies depend on client portrayal and totally dismissing shared communications. In this examination, we present a hybrid methodology for recognizing mechanized spammers by amalgamating network based features with other feature classifications, to be specific metadata-, content-, and association based features. The curiosity of the proposed methodology lies in the portrayal of clients dependent on their communications with their supporters given that a client can dodge features that are identified with his/her very own exercises, yet sidestepping those dependent on the devotees is troublesome. Nineteen distinct features, including six recently characterized features and two re-imagined features, are distinguished for learning three classifiers, in particular, irregular woods, choice tree, Bayesian system, and example pre-handling on a genuine dataset that involves generous clients and spammers. The separation intensity of various feature classifications is additionally broke down, and cooperation and network based features are resolved to be the best for spam identification, though metadata-based features are demonstrated to be the least compelling

Deep Learning Frameworks for Cardiovascular Arrhythmia Classification

Arrhythmia classification is a prominent research problem due to the computational complexities of learning the morphology of various ECG patterns and its wide prevalence in the medical field, particularly during the COVID-19 pandemic. In this article, we used Empirical Mode Decomposition and Discrete Wavelet Transform for preprocessing and then the modified signal is classified using various classifiers such as Decision Tree, Logistic Regression, Gaussian Naïve Bayes, Random Forest, Linear  SVM, Polynomial SVM, RBF SVM, Sigmoid SVM and Convolutional Neural Networks. The proposed method classify the data into five classes N (Normal), S (Supraventricular premature) beat, (V) Premature ventricular contraction, F (Fusion of ventricular and normal), and Q, (Unclassifiable Beat) using softmax regressor at the end of the network. The proposed approach performs well in terms of classification accuracy when tested using ECG signals acquired from the MIT-BIH database. In comparison to existing classifiers, the Accuracy, Precision, Recall, and F1 score values of the proposed technique are 98.5%, 96.9%, 94.3%, and 91.32%, respectively.  &nbsp

Ortho Linear Feedback Shift Register Cryptographic System

In this article, an encryption algorithm with an error detection technique is presented for highly secured reliable data transmission over unreliable communication channels. In this algorithm, an input data is mapped into orthogonal code first. After that the code is encrypted with the help of Linear Feedback Shift Register (LFSR). The technique has been successfully verified and synthesized using Xilinx by Spartan-3E FPGA. The results show that the error detection rate has been increased to 100% by proposed encryption scheme is effective and improves bandwidth efficiency

Ortho Linear Feedback Shift Register Cryptographic System

In this article, an encryption algorithm with an error detection technique is presented for highly secured reliable data transmission over unreliable communication channels. In this algorithm, an input data is mapped into orthogonal code first. After that the code is encrypted with the help of Linear Feedback Shift Register (LFSR). The technique has been successfully verified and synthesized using Xilinx by Spartan-3E FPGA. The results show that the error detection rate has been increased to 100% by proposed encryption scheme is effective and improves bandwidth efficiency

PHARMACOGNOSTIC EVALUATION OF GOMPHRENA SERRATA ROOT

Objectives: Gomphrena serrata (Amaranthaceae) has been utilized for many ailments in the conventional system ethnomedicinally; most significantly against bronchial asthma, diarrhea, hay fever, pains, tonic, carminative, diabetes, dermatitis, and piles. The key challenge experienced in the standardization of herbal drugs is the correct identification of the plant source. Thus, setting up quality control parameters by means of pharmacognostic and phytochemical analysis which assures the purity, safety, and efficiency of G. serrata is necessary. The current research was conducted to assess the pharmacognostic characteristics including macroscopic, microscopic, phytochemical and physicochemical parameters of the root of G. serrata. Methods:  Micro, as well as macroscopic characteristics was investigated. Physicochemical parameters had been done by implementing WHO suggested parameters; preliminary phytochemical and fluorescent evaluation of root was executed for appropriate identification and standardization. Results:  The color, shape, size, odor, and surface characteristics were reported from the root and powdered root material of G. serrata.  Light microscope images of cross section and powdered root revealed the presence of lignified xylem fibers, xylem vessels, cork cells and parenchyma cells. Phytochemical testing confirmed the presence of alkaloids, carbohydrates, saponins, tannins, proteins, amino acids, phytosterols and flavonoids. Physicochemical parameters such as moisture content, ash value, extractive value and fluorescent behavior of root powder have also been established Conclusion: The current research is useful in order to supplement the information with regard to its standardization, identification and in carrying out further investigation in Ayurvedic system of medicine.            Peer Review History: Received 24 July 2017;   Revised 22 August; Accepted 28 August, Available online 15 September 2017 Academic Editor: Dr. Asia Selman Abdullah, Al-Razi university, Department of Pharmacy, Yemen, [email protected] UJPR follows the most transparent and toughest ‘Advanced OPEN peer review’ system. The identity of the authors and, reviewers will be known to each other. This transparent process will help to eradicate any possible malicious/purposeful interference by any person (publishing staff, reviewer, editor, author, etc) during peer review. As a result of this unique system, all reviewers will get their due recognition and respect, once their names are published in the papers. We expect that, by publishing peer review reports with published papers, will be helpful to many authors for drafting their article according to the specifications. Auhors will remove any error of their article and they will improve their article(s) according to the previous reports displayed with published article(s). The main purpose of it is ‘to improve the quality of a candidate manuscript’. Our reviewers check the ‘strength and weakness of a manuscript honestly’. There will increase in the perfection, and transparency. Received file:        Reviewer's Comments: Average Peer review marks at initial stage: 4.0/10 Average Peer review marks at publication stage: 7.5/10 Reviewer(s) detail: Dr. Marwa A. A. Fayed, University of Sadat City, Egypt, [email protected] Dr. Mohamed Said Fathy Al-Refaey, University of Sadat City, Menofia, Egypt, [email protected] Similar Articles: PURIFICATION AND BIOLOGICAL ACTIVITIES OF COMBINATION OF HEMI-SYNTHESIZED THIOSEMICARBAZONES OF MITRACARPUS SCABER ZUC

Development and validation of stability indicating RP-HPLC method for the estimation of azilsartan in Bulk

Angiotensin-receptor blockers are often considered adequately efficacious in reducing blood pressure. By accepting the current regulatory requirements for an analytical method development, a reversed phase high performance liquid chromatographic method for routine analysis of Azilsartan has been developed. The optimized method was achieved using unisol C-18 (3μm, 4.6×150mm) coloumn with mobile phase consisting of mixture acetonitrile and methonal (90:10v/v) with a flow rate of 0.8ml/min at 249nm. The Linear concentration range is 2-10μg/ml. The detection and quantitation limit was found to be 0.45μg/ml. And the detection limit was found to be 0.149μg/ml. There are no interfering peaks under performed degradation conditions. The optimized method was validated according to ICH guidelines

Comparitive In-Vitro Evaluation of Commercially Available Generic and Branded Pro-pranolol Hydrochloride Immediate Release Tablets

The present work describes about the comparative in-vitro study of commercially available generic and branded Propranolol Hydrochloride tablets. The generic and branded Propranolol hydrochloride tablets were taken and evaluated for different parameters like weight variation, hardness, friability, disintegration, percentage purity and dissolution studies. According to  USFDA, generic drugs are identical and are within the acceptable bioequivalent range to the brand-name counterpart with respect to pharmacokinetic and pharmacodynamic properties. Generics are almost identical to that of branded drugs which are 80% cheaper on average. The generic drugs of various pharmaceutical companies are sold at low cost and are checked for their therapeutic efficacy by comparing with that of branded ones. The in-vitro results of both generic and branded were compared and found to be within the limits and claimed that generics are almost equal to branded drugs in all aspects except cost

PHARMACOGNOSTIC STUDY OF GOMPHRENA SERRATA STEM

Objective: To analyze the pharmacognostic characteristics and physiochemical parameters of the stem of Gomphrena serrata (G. Serrata). Methods: Micro, as well as macroscopic characteristics, were investigated. Physicochemical parameters had been done by implementing WHO suggested parameters; preliminary phytochemical and fluorescent evaluation of stem was executed for appropriate identification and standardization. Results: The color, shape, size, odor, and surface characteristics were reported from the stem and powdered stem material of G. serrata. Light microscope images of cross section and powdered stem revealed the presence of multicellular uniseriate trichomes, lignified xylem fibers, xylem vessels and parenchyma cell. Phytochemical testing confirmed the presence of alkaloids, carbohydrates, saponins, tannins, proteins, amino acids, phytosterols, and flavonoids. Physicochemical parameters such as moisture content, ash value, extractive value and fluorescent behavior of stem powder have also been established Conclusion: The current research would be useful in order to supplement the information regarding standardization, identity and in performing additional explorations in Ayurvedic system of medicine