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Tolerable environmentally inverse constrained functional metabolism: Key to fight obesity
Ashish Runthala
Russian Open Medical Journal , 2012,
Abstract: Health risk of obesity is a heavily growing concern for societies across the globe, as it is the root cause of several lethal diseases, for which the cure is highly expensive. I tried an innovative approach with some formulations and calculations, and it has shown excellent results.The work is intended to explore the efficacy of the judiciously practiced weight loss measure for an interested obese person. The manuscript explains the concept with the formulated enhanced impact of this methodology and thus presents an exploratory logical hypothesis. It is proven to be a reliable tool to fight obesity without medication treatments.
Tegument based in-silico Drug Targeting of Herpes Simplex Virus-1
Ashish Runthala,Amit Kumar Singh
Saratov Journal of Medical Scientific Research , 2010,
Abstract: Alpha Trans Inducing Factor (a-TIF) is a herpes simplex virus type 1 (HSV-1) virion tegument protein present in the tegument layer between the capsid and the envelope, in association with cellular proteins and trans-activated viral activities. a-TIF stimulates the transcription of HSV-1 Immediate Early genes during lytic virus replication. The presence or absence of functional a-TIF protein in vivo is always associated with viral activities. Its role behind latent HSV-1 infection is ambiguous. No drug is designed for HSV till now based on this protein and thus its conformational details can be very important for drug designing purpose. Methods. Docking studies on this protein becomes logical. Four different ligand molecules viz. Adenosine-3'-5'-Diphosphate, P1-(5'-Adenosyl) P4-(5'-(2'-Deoxy-Thymidyl)) Tet-raphosphate, 9-Hydroxymethylguanine, 9-(4-Hydroxybutyl)-N2-Phenylguanine were screened for the study. Results. P1-(5'-Adenosyl) P4-(5'-(2'-Deoxy-Thymidyl) Tetraphophate was found to be the best ligand as it showed the lowest docking energy of - 9.238 kcal/mol. Conclusions. The best ligand was found to bind different sites of the a-TIF protein and hence can be utilized to combat HSV-1 successfully, with a synergistic effect of multiplicity of drug molecules on the target protein
Combating Cancer With Tumor Immunotherapy
Ashish Runthala,Murali Monohar Pandey
eJournal of Biological Sciences , 2009,
Abstract: Cancer is a worldwide health problem. Cancer immunotherapy can be studied in two categories: cancer vaccines and induction of immune response against specific antigens. For studying it in a better way to combat cancer, we should look it from the respective angles of immune system’s components. For combating cancer, we should look into the roles of innate cells, antibodies, T cells, NK cells, macrophages, and at last the evasion of tumor responses. From all these concepts, we can land on many immunotherapy ways like Humoral or cellular immunotherapy, Passive antibody transfer, APC activity enhancement, and the important role of monoclonal antibodies, Dendritic cells, cytokines and interferons. Still moving further using a pool of these resources, we can combat cancer in a better way.
International Journal of Bioinformatics Research , 2011,
Abstract: Fermentation products are indigenous to many civilizations, and they have been produced by industriessince a long time. Saccharomyces cerevisiae S288C (commonly known as baker's yeast) is the strain mainly usedin the Glucose based fermentation industries. We have seen the use of same yeast strain at different places withdifferent Phenotypic Constraints. The way to improve the adaptability of considered strain for desired phenotypicconditions, using smart selection of genes through cybernetic modeling is illustrated. Phylogenetic homologues forall S. cerevisiae S288c Glucose Fermentation pathway genes were screened to search evolutionarily relatedfunctional domains in other yeast strains like Saccharomyces cerevisiae YJM789, Candida glabrata CBS138,Kluyveromyces lactis NRRL Y-1140, Ashbya gossypii ATCC10895 etc., which are adapted naturally in different setof environment. We observed that Saccharomyces cerevisiae YJM789, Candida glabrata CBS138, Ashbyagossypii ATCC10895, Kluyveromyces lactis NRRL Y-1140 possess highly conserved functional domains, whichcan be carefully selected based on usage. This study aims at designing an algorithm to select and incorporateevolutionary homologues for genes of a considered strain, which mostly show sub-optimal performance in thedesired set of experimental constraints. Such a consideration of native microenvironment and evolutionarycloseness in the selection of functional homologues of the entire genetic set can thus be significantly fruitful.
Big Data Usage Intention of Management Accountants: Blending the Utility Theory with the Theory of Planned Behavior in an Emerging Market Context  [PDF]
Ashish Varma
Theoretical Economics Letters (TEL) , 2018, DOI: 10.4236/tel.2018.813176
Abstract: This work blends the utility theory with the theory of planned behavior to investigate the management accountant’s (MA) intention in using big data. The study was conducted in early 2017 using a partial least squares-structural equation modeling technique with a sample of 203 MAs in 11 Indian cities. The research identified attitude as the most significant antecedent of intent to use big data followed by the subjective norms. These findings have significant managerial relevance for the firms in sensitizing their accounting teams on the benefits of using big data to achieve more voluntary buy in from the MAs. The investigation also contributes to the methods by illustrating the application of two advanced techniques, multi group analysis (MGA) and importance-performance map analysis (IPMA) in validating the theory of planned behavior in an emerging market context.
Mobile Banking Choices of Entrepreneurs: A Unified Theory of Acceptance and Use of Technology (UTAUT) Perspective  [PDF]
Ashish Varma
Theoretical Economics Letters (TEL) , 2018, DOI: 10.4236/tel.2018.814183
Abstract: This study applies the unified theory of acceptance and use of technology (UTAUT) to investigate the entrepreneurial usage of mobile banking services. The study was conducted during 2017-18 using a partial least squares-structural equation modeling technique. A sample of 206 entrepreneurs, from fourteen sub-urban towns in India, was studied. The study found that mobile banking intentions mediates the relationship between all three; effort expectancy and use behavior, performance expectancy and use behavior and social influence and use behavior. There was no gender-based difference between the banking behavior among the entrepreneurs. The study also validates the UTAUT theory in an emerging market context. These findings are significant as the entrepreneurial choices regarding mobile banking in emerging markets demands more research. Mobile phones have a deep penetration in the emerging markets and so its role in facilitating the banking needs of the entrepreneurs should be ascertained. The study also contributes to the methods by illustrating the use of importance performance map analysis (IPMA) in the UTAUT context.
Qualitative Evidence for a Behavioral Extension of the Expectancy Valence Theory: The Netflix-Twitter-Yakult Case  [PDF]
Ashish Varma
Theoretical Economics Letters (TEL) , 2018, DOI: 10.4236/tel.2018.815212
Abstract: The Netflix movie “To all the boys I’ve loved before” released in the USA on 17th Aug 2018 was linked to a substantial increase in sales of the probiotic drink Yakult. This study probes the phenomenon with an analysis of tweets for the first three weeks after the release of the movie and also assesses reasons for the phenomenon with the theoretical underpinning of the Expectancy Valence (EV) theory. The first section of the study was conducted by undertaking a probe on 1922 tweets made during 17th Aug 2018 (the release date of the movie in the USA) till 6th September 2018. The second part of the study was conducted by taking intensive in-depth interviews of the target segment after 6th September 2018. The study highlights the growing significance of social media in shaping the sentiments by influencing perception and opinion (valence), which eventually influences the sales of products (expectation). The study found out that the sharp increase in sales was due to positive behavioral sentiment created by the social media.
Do Culturally Intelligent Management Accountants Share More Knowledge?—The Mediating Role of Coopetition as Evident from PLS SEM and fsQCA  [PDF]
Ashish Varma
Theoretical Economics Letters (TEL) , 2019, DOI: 10.4236/tel.2019.91009
This work investigates whether management accountants (MA) who have experience of working in multicultural environments are more open to share their knowledge, learning and insights with others or not. The study was conducted in early 2018 by using a Partial Least Squares-Structural Equation Modeling (PLS-SEM) technique with a sample of 107 MAs working in India in 7 different cities and in different multinational organizations. The research identified that coopetition mediated the relationship between cultural intelligence (CQ) and the intention to share knowledge (ISK) as evidenced by both PLS-SEM and fsQCA methods. This finding is significant for both theory and practice as coopetition involves both collaboration and completion amongst the MAs. The Multi Group Analysis (MGA) revealed no significant gender related differences amongst the practicing management accountants. The study also contributes to the methods by illustrating the modelling of the second order construct “cultural intelligence”, formatively. Thus, this study illustrates the use of second order reflective-formative constructs in management accounting literature, for exploring the theory. This architecture can be of significant use for future researchers.
Tracking of Non-Rigid Object in Complex Wavelet Domain  [PDF]
Om Prakash, Ashish Khare
Journal of Signal and Information Processing (JSIP) , 2011, DOI: 10.4236/jsip.2011.22014
Abstract: In this paper we have proposed an object tracking method using Dual Tree Complex Wavelet Transform (DTCxWT). The proposed method is capable of tracking the moving object in video sequences. The object is assumed to be deform-able under limit i.e. it may change its shape from one frame to another. The basic idea in the proposed method is to decompose the image into two components: a two dimensional motion and a two dimensional shape change. The motion component is factored out while the shape is explicitly represented by storing a sequence of two dimensional models. Each model corresponds to each image frame. The proposed method performs well when the change in the shape in the consecutive frames is small however the 2-D motion in consecutive frames may be large. The proposed algorithm is capable of handling the partial as well as full occlusion of the object.
Analysis of DVFS Techniques for Improving the GPU Energy Efficiency  [PDF]
Ashish Mishra, Nilay Khare
Open Journal of Energy Efficiency (OJEE) , 2015, DOI: 10.4236/ojee.2015.44009

Dynamic Voltage Frequency Scaling (DVFS) techniques are used to improve energy efficiency of GPUs. Literature survey and thorough analysis of various schemes on DVFS techniques during the last decade are presented in this paper. Detailed analysis of the schemes is included with respect to comparison of various DVFS techniques over the years. To endow with knowledge of various power management techniques that utilize DVFS during the last decade is the main objective of this paper. During the study, we find that DVFS not only work solely but also in coordination with other power optimization techniques like load balancing and task mapping where performance and energy efficiency are affected by varying the platform and benchmark. Thorough analysis of various schemes on DVFS techniques is presented in this paper such that further research in the field of DVFS can be enhanced.

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