FIRST REPORT ON FIBRINOLYTIC AND THROMBOLYTIC ACTIVITY OF EUTYPHOEUS GAMMIEI AN EARTHWORM SPECIES COLLECTED FROM TRIPURA, NORTHEAST INDIA

Objective: The present investigation for the first time evaluated the in vitro fibrinolytic and thrombolytic activities of crude extracts from Eutyphoeus gammiei, native, large size earthworm of Tripura, Northeast, India. The present study was designed to evaluate the therapeutic use of the organism E. gammiei as a source of fibrinolytic and thrombolytic agent(s).Methods: The fibrinolytic activity was studied using by fibrin plate and zymography assays. Thrombolytic assay was carried out according to Prasad et al. (2006) using whole blood.Results: The results obtained clearly indicated E. gammiei as a potential source of fibrinolytic and thrombolytic agents. Both in fibrin plate assay and thrombolytic assay with whole blood, E. gammiei crude homogenate showed similar and close results in respect to that of streptokinase. Fibrin zymography also showed antifibrinolytic activity with producing clear bands. Dose and time dependency also is evident from the results.Conclusion: The results of the present study conclude that the studied earthworm species E. gammiei possessed profound fibrinolytic and thrombolytic activity on human blood and E. gammiei might prove to be useful alternative source for the development of new drugs for treatments involving blood coagulation and fibrinolysis

Asymptotically Improved Grover's Algorithm in any Dimensional Quantum System with Novel Decomposed nn-qudit Toffoli Gate

As the development of Quantum computers becomes reality, the implementation of quantum algorithms is accelerating in a great pace. Grover's algorithm in a binary quantum system is one such quantum algorithm which solves search problems with numeric speed-ups than the conventional classical computers. Further, Grover's algorithm is extended to a $d$-ary quantum system for utilizing the advantage of larger state space. In qudit or $d$-ary quantum system n-qudit Toffoli gate plays a significant role in the accurate implementation of Grover's algorithm. In this paper, a generalized $n$-qudit Toffoli gate has been realized using qudits to attain a logarithmic depth decomposition without ancilla qudit. Further, the circuit for Grover's algorithm has been designed for any d-ary quantum system, where d >= 2, with the proposed $n$-qudit Toffoli gate so as to get optimized depth as compared to state-of-the-art approaches. This technique for decomposing an n-qudit Toffoli gate requires access to higher energy levels, making the design susceptible to leakage error. Therefore, the performance of this decomposition for the unitary and erasure models of leakage noise has been studied as well

Social media bot detection with deep learning methods: a systematic review

Social bots are automated social media accounts governed by software and controlled by humans at the backend. Some bots have good purposes, such as automatically posting information about news and even to provide help during emergencies. Nevertheless, bots have also been used for malicious purposes, such as for posting fake news or rumour spreading or manipulating political campaigns. There are existing mechanisms that allow for detection and removal of malicious bots automatically. However, the bot landscape changes as the bot creators use more sophisticated methods to avoid being detected. Therefore, new mechanisms for discerning between legitimate and bot accounts are much needed. Over the past few years, a few review studies contributed to the social media bot detection research by presenting a comprehensive survey on various detection methods including cutting-edge solutions like machine learning (ML)/deep learning (DL) techniques. This paper, to the best of our knowledge, is the first one to only highlight the DL techniques and compare the motivation/effectiveness of these techniques among themselves and over other methods, especially the traditional ML ones. We present here a refined taxonomy of the features used in DL studies and details about the associated pre-processing strategies required to make suitable training data for a DL model. We summarize the gaps addressed by the review papers that mentioned about DL/ML studies to provide future directions in this field. Overall, DL techniques turn out to be computation and time efficient techniques for social bot detection with better or compatible performance as traditional ML techniques

Wound healing promoting activity of Earthworm, Eutyphoeus gammiei (Beddard): in vitro studies on human skin keratinocyte cell line (HaCat).

Earthworm, Eutyphoeus gammiei, homogenate (EGH) was screened for wound healing activity on human keratinocyte cell line, HaCat, by cell proliferation and migration assays. The maximum proliferation and migration of keratinocyte cells were observed at the dose of 25μg/ml. As cell proliferation and migration are key factors for wound healing, the study clearly suggests the potential role of earthworm species Eutyphoeus gammiei on wound healing. Keywords: Eutyphoeus gammiei, Keratinocyte, MTT assay, scratch assay

REACTIVE OXYGEN SPECIES AS POSSIBLE MEDIATOR OF ANTIBACTERIAL ACTIVITY OF PARKIA JAVANICA, AGAINST BACTERIAL SPECIES PREDOMINANTLY FOUND IN CHRONIC WOUND.

The crude methanol extract of Parkia javanica was screened for antibacterial activity. against bacterial species predominantly found in chronic wound, by serial dilution technique. Growth kinetics study was performed and percentage of ROS production was measured by NBT reduction assay. The minimum inhibitory concentration (MIC) and minimum bactericidal concentration (MBC) were obtained with a range of IC100 5-40 mg/ml in case of standard bacterial strains. The lag phase of all extract treated bacteria is extended compared to untreated cells. The normalized % of ROS is increased in presence of crude extract. This study suggests that the crude methanol extract of Parkia javanica possesses promising antimicrobial substances which are having activity against Standard ATCC bacterial species and ROS induced DNA damage could be the possible mediator of its antimicrobial activity. Keywords: Parkia javanica, antibacterial activity, standard ATCC bacterial strains, growth curve, ROS, DNA damag

Coping the arsenic toxicity in rice plant with magnesium addendum for alluvial soil of indo-gangetic Bengal, India

Arsenic (As3+) is a toxic metalloid found in the earth’s crust, its elevated concentration is a concern for human health because rice is the staple grain in eastern part of India and the waterlogged rice field environment provides opportunity for more As3+ uptake. Magnesium (Mg2+) is an important plant nutrient. Present work is a search for reducing As3+ toxicity in plants through Mg2+ application. The findings are quite impressive, the root to shoot biomass ratio showed more than 1.5 times increase compared to the control. Total protein content increased 2 folds. Carbohydrate and chlorophyll content increased two to three times compared to control. On the other hand, Malondialdehyde content showed a decline with the application of increased Mg2+ dose. The in-silico study shows a better interaction with As3+ in presence of Mg2+ but interestingly without stress symptoms. These findings from the research indicate that Mg2+ application can be effective in reducing As3+ induced stress in plants