STANDARDIZATION OF A POLYHERBAL PREPARATION (POL–6) FOR TREATMENT OF OXIDATIVE, INFLAMMATORY AND IMMUNE DISORDERS

Objective: The objective of this study was to develop and standardize a polyherbal preparation (POL–6) and evaluate its use in treating oxidative, inflammatory and immune disorders.Methods: The individual hydroalcoholic extractions of Hypericum perforatum, Bacopa monnieri, Centella asiatica, Withania somnifera, Ocimum sanctum and Camellia sinesis dried plant materials were done, and POL–6 was prepared by mixing them in (1:2:2:2:2:1) proportions. POL–6 has been standardized on the basis of organoleptic properties, physical characteristics, and physicochemical properties. The antioxidant activities were evaluated using free radical scavenging methods for 1,1–diphenyl–2–picrylhydrazyl, (DPPH) and nitric oxide assays. Anti–inflammatory activity was done by albumin denaturation and HRBC membrane stabilization assays. Cell viability assay was used for immunomodulatory activity measurement by cultivating peripheral blood mononuclear cells.Results: The results obtained from physical and chemical parameters evaluation shows that the contents of preparation present are within permissible limits. In in–vitro antioxidant studies POL–6 showed significant antioxidant activity when tested in 1–1 Diphenyl–2–picrylhydrazyl and nitric oxide assays. In in–vitro antiâ€inflammatory investigation, POL–6 exhibited significant inhibition against albumin denaturation and significant protection against membrane stabilization assay. POL–6 also exhibit significant immunomodulatory activity at low doses, when tested in cell viability assay.Conclusion: The results from this study rationalize the medicinal use of POL–6 in oxidative, inflammatory and immune disorders.Keywords: Polyherbal preparation, Antioxidant, Antiâ€inflammatory, Immunomodulator

Exploring the Scope of Prognosis Agent Technology in Digital Manufacturing

It is an established fact that the last decade is evident for the advancement in manufacturing sector by the use of various digital manufacturing (DM) techniques. Agent technology has contributed far in the DM by simplifying and adding synergy to the various functionaries in form of static and mobile agents. The agents contribute in the paradigms of designing, diagnosis, production, marketing etc. In the international business market, the agent technology has increased the competence by providing fast, error free, customized services. The paper first reviews the work done in the field of applications of agent technology in digital manufacturing including the role of agent technology in prognosis and then the research object is to develop a framework for the prognosis of digital data feeded to the manufacturing facilities of DM system. The paper focus on the introduction and brief description of the manufacturing prognosis agent in context to Digital manufacturing. Key words: manufacturing prognosis agent, digital manufacturing, prognosis, agent technology, digital dat

An Efficient and Robust Tuple Timestamp Hybrid Historical Relational Data Model

This paper proposes a novel, efficient and robust tuple time stamped hybrid historical relational model for dealing with temporal data. The primary goal of developing this model is to make it easier to manage historical data robustly with minimal space requirements and retrieve it more quickly and efficiently. The model's efficiency and results were revealed when it was applied to an employee database. The proposed model's performance in terms of query execution time and space requirements is compared to a single relational data model. The obtained results show that the proposed model is approximately 20% faster than the conventional single relational data model. Memory consumption results also show that the proposed model's memory cost at different frequencies is significantly reduced, which is approximately 30% less than the single relational data model for a set of queries. Because net cost is strongly related to query execution time and memory cost, the suggested model's net cost is also significantly reduced. The proposed tuple timestamp hybrid historical model acts as generic, accurate and robust model. It provides the same functionality as previous versions, as well as hybrid functionality of previously proposed models, with a significant improvement in query execution speed and memory usage. This model is effective and reliable for the use in a wide range of temporal database fields, including insurance, geographic information systems, stocks and finance (e.g. Finacle in Banking), data warehousing, scientific databases, legal case histories, and medical records

Performance Evaluation of WebRTC-Based Video Conferencing: A Comprehensive Analysis

In an ever-evolving technological landscape, addressing the performance challenges of real-time communication protocols is crucial. Real-time communication, facilitated by streaming media protocols, utilizes peer-to-peer or client-server models to enhance Quality of Service (QoS). WebRTC (Web Real-Time Communication) stands as a widely adopted, browser-based, open-source, peer-to-peer protocol, offering real-time media transmission through JavaScript APIs without third-party plugins. This paper presents an in-depth performance evaluation of a WebRTC-based video conferencing system using Socket.io services on a Node.js server. Our research expands on recent studies by introducing a comprehensive set of performance parameters, including Processing delay, CPU Utilization, Latency, Jitter, and Packet Loss, and packet delay. Our findings indicate that WebRTC performs exceptionally well within specific latency thresholds. However, scalability concerns emerge when a large number of clients are introduced, especially in bandwidth-constrained environments

Asymmetric reduction of prochiral ketones with sodium borohydride in the presence of amino deoxy sugars

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Synergistic Effect of Plant Growth Regulators on Micropropagation of Eclipta alba: A Plant with Diverse Medicinal Properties

Synergism between various plant growth regulators is reported to be a key factor for the development of efficient in vitro propagation for any plant. Therefore, the current study examines the synergistic impact of plant growth regulators on in vitro propagation of Eclipta alba, an important medicinal plant possessing diverse medicinal properties. For the establishment of aseptic cultures, nodal segments were employed as explants on MS medium supplemented with 2.5 μM of 6-benzyle adenine (BA). Varying concentrations of BA and Kinetin (KIN)(0.0-5.0 μM), either alone or in combination with α- naphthalene acetic acid (NAA @ 0.0-5.0 μM) and indole 3-acetic acid (IAA@ 0.0-5.0 μM), were found to be effective for promoting shoot proliferation. Compared to KIN, BA was found to promote shoot proliferation and elongation more effectively. Further, the addition of 0.5μM NAA in the MS medium supplemented with 2.5 μM of BA increased shoot multiplication and elongation frequency from 58 and 17 percent to 65 and 21 percent respectively. The rooting frequency was found to be maximum on 1/2 strength MS medium supplemented with 5.0 μM of indole 3-butyric acid (IBA), which was found to be a superior auxin for inducing roots as compared to the NAA and IAA. With a 75% survival rate, in vitro raised plantlets were effectively acclimatized first in a poly house and later under greenhouse conditions. Molecular analysis was carried out using RAPD markers, with results indicating that the micropropagated plants were genetically identical to the mother plant. The developed micropropagation protocol for E. alba can be used at the commercial level for the mass multiplication of plants

Phase Shift Analysis for Alpha-alpha Elastic Scattering using Phase Function Method for Gaussian Local Potential

The phase shifts for α- α scattering have been modeled using a two parameter Gaussian local potential. The time independent Schrodinger equation (TISE) has been solved iteratively using Monte-Carlo approach till the S and D bound states of the numerical solution match with the experimental binding energy data in a variational sense. The obtained potential with best fit parameters is taken as input for determining the phase-shifts for the S channel using the non-linear first order differential equation of the phase function method (PFM). It is numerically solved using 5th order Runge-Kutta (RK-5) technique. To determine the phase shifts for the ℓ=2 and 4 scattering state i.e. D and G-channel, the inversion potential parameters have been determined using variational Monte-Carlo (VMC) approach to minimize the realtive mean square error w.r.t. the experimental data

Asymptomatic bacteriuria and antibacterial susceptibility during pregnancy

Background: Urinary tract infections are more common in women than in men and still more in pregnant women because of anatomical and physiological changes during pregnancy. Incidence of asymptomatic bacteriuria is 2-10% globally and it is still more in developing countries. Untreated asymptomatic bacteriuria can lead to many prenatal and maternal complications; hence early detection and treatment is of considerable importance.Methods: Total 220 pregnant women at their first visit were screened during one year. Midstream urine samples were inoculated and results were interpreted after 24-48 hours.Results: Incidence of asymptomatic bacteriuria was 12.27%. E. coli was the commonest pathogen detected and Nitrofurantoin was found to be effective against commonest pathogens.Conclusions: Ectopic pregnancy can have varied presentations and misdiagnosis can be seen in Surgical, Medical and Gynaecology Universal screening of aymptomatic bacteriuria is recommended because of its high prevalence and prenatal and maternal complications, if left untreated. Nitrofurantoin can be advocated because of its low cost and high effectiveness where culture is not possible because of inadequate resources.