306 research outputs found
An Impact of Biofield Treatment: Antimycobacterial Susceptibility Potential Using BACTEC 460/MGIT-TB System
No full textCopyright: ©2015 Trivedi MK, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. The aim was to evaluate the impact of biofield treatment modality on mycobacterial strains in relation to antimycobacterials susceptibility. Mycobacterial sensitivity was analysed using 12 B BACTEC vials on the BACTEC 460 TB machine in 39 lab isolates (sputum samples) from stored stock cultures. Two American Type Culture Collection (ATCC) strains were also used to assess the minimum inhibitory concentration (MIC) of antimicrobials (Mycobacterium smegmatis 14468 and Mycobacterium tuberculosis 25177). Rifampicin, ethambutol and streptomycin in treated samples showed increased susceptibility as 3.33%, 3.33 % and 400.6%, respectively, as compared to control in extensive drug resistance (XDR) strains. Pyrazinamide showed 300 % susceptibility as compared to control in multidrug resistance (MDR) strains. Isoniazide did not show any improvement of susceptibility pattern against treated either in XDR or MDR strains of Mycobacterium as compared to control. Besides susceptibility, the resistance pattern of treated group was reduced in case of isoniazide (26.7%), rifampicin (27.6%), pyrazinamide (31.4%), ethambutol (33.43%) and streptomycin (41.3%) as compared to the untreated group of XDR strains. The MIC values of few antimicrobials were also altered in the treated group of Mycobacterium smegmatis
Evaluation of Phenotyping and Genotyping Characterization of Serratia marcescens after Biofield Treatment
No full textCopyright: © 2015 Trivedi MK, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Serratia marcescens (S. marcescens) is Gram-negative bacterium, associated with hospital-acquired infections (HAIs), especially urinary tract and wound infections. The present study was aimed to evaluate the impact of biofield treatment on phenotyping and genotyping characteristics such as antimicrobial susceptibility, biochemical reactions, biotype, DNA polymorphism, and phylogenetic relationship of S. marcescens (ATCC 13880). The lyophilized cells of S. marcescens were divided into three groups (G1, G2, and G3). Control group (G1) and treated groups (G2 and G3) of S. marcescens cells assessed with respect to antimicrobial susceptibility, and biochemical reactions. In addition to that, samples from different groups of S. marcescens were evaluated for DNA polymorphism by Random Amplified Polymorphic DNA (RAPD), and 16S rDNA sequencing in order to establish the phylogenetic relationship of S. marcescens with different bacterial species. The treated cells of S. marcescens showed an alteration of 10.34% and 34.48 % antimicrobials in G2 and G3 on 10th day, respectively as compared to control. The significant changes of biochemical reactions were also observed in treated groups of S. marcescens. The RAPD data showed an average range of 16-49.2 % of polymorphism in treated samples as compared to control. Based on nucleotid
Topic-Based Engagement Analysis: A Case Study
No full textThe content on the web is increasing at an explosive rate. This makes it important to generate interpretations of web content in a way that could facilitate building of relevant systems. Keeping this notion in focus, we carry out an analysis to understand and generate interpretations of engagement of users with respect to topics discussed on a hacker forum. Since this could be first study of its kind, we present our results in way that could be easily interpreted and be used for carrying out further research. We make use of a number of existing machine learning techniques and models in this study. The study lists results obtained from different techniques for the same dataset and offers insight on the results obtained. There is also a discussion section that points out the usefulness of these results in encouraging user participation
Scheme for Anonymous social network
No full text<p>Scheme for Anonymous social networks</p>
Engagement-Based Customer Segmentation for Online Social Services: The Role of a Kernelized Clustering Approach
No full textAMCIS presenatatio
The unified force framework: from electron dynamics to cosmic motion
No full textThis document presents an original theoretical framework developed by Pradyumna Trivedi, exploring a novel approach to gravity and force unification. The idea proposes that gravitational and other fundamental forces can be understood through a density-based interaction model — where differences in spatial density create a dynamic balance analogous to quantum interactions between charged particles.
The research re-examines key assumptions of Einstein’s General Theory of Relativity and suggests an alternative model that treats mass-energy interactions as harmonic density couplings rather than curvature effects. This approach leads toward the formulation of a unified force equation that mathematically links gravitational, electromagnetic, and quantum forces through a single potential function.
The work includes theoretical reasoning, comparative analysis with relativistic predictions, and the development of foundational equations consistent with observed gravitational behavior.
The author welcomes constructive peer review and scientific discussion to refine, test, and further develop this model.
Author:
Pradyumna Trivedi
Class 12, Humanities Student, Noida, India
[email protected]
License:
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
Note:
For researchers or professors interested in detailed mathematical derivations and unified force formulations, please contact the author at the email above
Keep the conversations going, engagement-based customer segmentation on online social service platforms
No full textKeep the conversations going, engagement-based customer segmentation on online social service platform
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