32 research outputs found

    Remark on <i>p</I>-<i>d< Operator

    No full text
    Gopal, Dhananjay/0000-0001-8217-2778In this short communication, we show that P-D, operator fall in the class of weakly compatible (respectively, occasionally weakly compatible) in the presence of a unique common fixed point (respectively, multiple common fixed points) of the given maps.CSIR, Govt. of India [25(0215)/13/EMR-II]The first author thanks for the support of CSIR, Govt. of India, Grant No.25(0215)/13/EMR-II.Emerging Sources Citation Inde

    Revamping of Academic Libraries in Modern Information and Communication Technology (ICT) Environment.

    No full text
    This paper discusses the need for revamping the academic libraries in accordance with change in technologies, educational policies, laws related to education as well as central and state government decisions. The author suggests that the libraries are also expected to bring about a change in their policies, practices, methods, procedures and techniques related to information selection, acquisition, storage, retrieval mechanism, ways of dissemination in order to provide technology based quality services to satisfy the stakeholders

    Citation analysis of literatura published in journals on personas with disabilities

    No full text
    Researchers selected 25 research articles for literature review. Author wise number of citations and h-index of these 25 research articles are analyzed using the SCOPUS database. Total 8 Indian authors and 23 foreign authors are ranked as per their number of citations and h-index. First hypothesis i.e. ‘Number of citations of Indian and foreign authors are different or not equal’ is false and the second hypothesis i.e. ‘h-index of Indian and foreign authors are different or not equal, is true

    Role of recombinant SXP/RAL-2 family protein Wuchereria bancrofti L2 (rWbL2) as vaccine candidate in lymphatic filariasis in mastomys

    No full text
    With agreement from the corresponding author, the Editor-in-Chief retracts the article “Role of recombinant SXP/RAL-2 family protein Wuchereria bancrofti L2 (rWbL2) as vaccine candidate in lymphatic filariasis in mastomys”, Andure D et al. Int J Res Med Sci. 2016 Apr;4(4):1140-1146, DOI: 10.18203/2320-6012.ijrms20160798, due to the duplication of figure from other previously published article. Figure 3 was reused from Figure 2 in the article “Immunization with Wuchereria bancrofti Glutathione-S-transferase Elicits a Mixed Th1/Th2 Type of Protective Immune Response Against Filarial Infection in Mastomys”, Indian Journal of Clinical Biochemistry, First online: 09 February 2016, DOI: 10.1007/s12291-016-0556-y. The corresponding author Dr. Dhananjay Andure has published it on his own without informing the co-authors and his guide

    Physical and data-driven models hybridisation for modelling the dynamic state of a four-stroke marine diesel engine

    No full text
    Accurate, reliable, and computationally inexpensive models of the dynamic state of combustion engines are a fundamental tool to investigate new engine designs, develop optimal control strategies, and monitor their performance. The use of those models would allow to improve the engine cost-efficiency trade-off, operational robustness, and environmental impact. To address this challenge, two state-of-the-art alternatives in literature exist. The first one is to develop high fidelity physical models (e.g., mean value engine, zero-dimensional, and one-dimensional models) exploiting the physical principles that regulate engine behaviour. The second one is to exploit historical data produced by the modern engine control and automation systems or by high-fidelity simulators to feed data-driven models (e.g., shallow and deep machine learning models) able to learn an accurate digital twin of the system without any prior knowledge. The main issues of the former approach are its complexity and the high (in some case prohibitive) computational requirements. While the main issues of the latter approach are the unpredictability of their behaviour (guarantees can be proved only for their average behaviour) and the need for large amount of historical data. In this work, following a recent promising line of research, we describe a modelling framework that is able to hybridise physical and data driven models, delivering a solution able to take the best of the two approaches, resulting in accurate, reliable, and computationally inexpensive models. In particular, we will focus on modelling the dynamic state of a four-stroke diesel engine testing the performance (both in terms of accuracy, reliability, and computational requirements) of this solution against state-of-the-art physical modelling approaches on real-world operational data

    CD38: A Novel Modulator of Morphine Antinociception in the Spinal Cord

    No full text
    Author ManuscriptOpioid analgesics remain essential for managing moderate to severe pain, but the development of tolerance and hyperalgesia limits their clinical utility. CD38 is a multifunctional enzyme that generates calcium-mobilizing second messengers and plays a role in the supraspinal actions of opioids, yet its role in pain processing and spinal opioid effects remains undetermined. In this study, we investigated the function of CD38 in basal processing of acute heat and pressure noxious stimuli and spinal morphine antinociception using wild-type (WT) and CD38 knockout (CD38KO) mice of both sexes. CD38 enzymatic activity was highest in the spinal cord and predominantly localized to astrocytes. While CD38 deletion had no effect on baseline thermal or mechanical acute nociception, spinal morphine-induced antinociception was significantly reduced in CD38KO mice across both noxious modalities, with diminished magnitude and duration of response. Morphine-induced thermal hyperalgesia was attenuated in CD38KO females but not in males, indicating a possible sex-dependent role for CD38 in opioid-induced hyperalgesia. In contrast, spinal morphine tolerance developed similarly in both genotypes, suggesting these adaptations occur independently of CD38. Morphine administration did not alter spinal CD38 activity, and μ-opioid receptor expression was comparable between WT and CD38KO mice, indicating that CD38 modulates spinal opioid antinociception downstream or parallel to MOR signaling. These findings suggest that astrocytic CD38 plays a critical role in mediating opioid-induced antinociception without contributing to opioid-induced tolerance, highlighting its potential as a novel target for enhancing opioid efficacy.This work was funded by grants the National Institute of Neurological Diseases and Stroke (grant 1R21NS118499-01A1 to Alonso Guedes), National Institute on Drug Abuse (grant 1R36DA054455-01A1 to Ruth Quintana), and the University of Minnesota College of Veterinary Medicine Signature Program (grants 722, 667 to Alonso Guedes) and Graduate Student/Resident Program (grant 645 to Ruth Quintana).Quintana, Ruth; Singh, Dhananjay; Graeff, Richard; Titus, David; Guedes, Alonso. (2025). CD38: A Novel Modulator of Morphine Antinociception in the Spinal Cord. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/273330

    Improving Mapreduce for Incremental Processing Using Map Data Storage

    No full text
    AbstractIn this paper, we propose methods for the improvement of performance of a MapReduce program when it is used for incremental processing. Incremental processing is generally used where data is refreshed periodically to reflect small changes to the input dataset. To reduce the delay in re-computing unchanged data, we introduce methods that selectively compute only data that has been altered. It incorporates the concept of Bloom Filter. Bloom filter is a space-efficient data structure, that can with a certain probability check if the data is modified or not. Traditional systems process the entire data when even a small percentage or none of data is changed. This is time-consuming as well as consumes a huge number of CPU clock cycles additionally to process data that has not been changed. In order to reduce the wastage of CPU clock cycles, a system is proposed wherein a method of execution using Bloom Filter helps improve the performance of the system up to 17% when compared to existing system

    Modeling connectivity in the brain : an application in Huntington's disease

    No full text
    This thesis was scanned from the print manuscript for digital preservation and is copyright the author. Researchers can access this thesis by asking their local university, institution or public library to make a request on their behalf. Monash staff and postgraduate students can use the link in the References field

    Analytic Proof of the recent Baseline Primality Conjecture

    No full text
    This document presents an analytic proof of the Baseline Primality Conjecture (BPC) that was recently unveiled in [1, Part I]. The BPC identifies a new small set of conditions that are sufficient to decide the primality of any input integer N under test (see Section 2 for the exact statement of the BPC in the original form using algebraic integers; and Section 3 for an equivalent polynomial domain reformulation). The practical significance of the BPC is that it directly leads to ultra low complexity primality testing algorithms, wherein the number of bit-operations required is essentially a quadratic function of the bit length of the input N [1]. More specifically, the Baseline Primality Result (BPR) demonstrates that after an/any integer in the closed interval [2,N −2] which is a Quadratic Non Residue (QNR) modulo-N is found; exactly 2 (Two, which is a small O(1) constant, independent of the bit-length of the input N) specific modular exponentiations are sufficient to determine whether N is a composite or a prime. The BPC was (and to this day continues to be) extensively tested numerically.1 Additionally, analytic proofs of the BPC for several specific forms of the input N were also presented in [1], wherein the BPR was first unveiled. However, at the time of the original publication [1], we were not able to complete a general analytic proof of the BPC that covered all possible cases (i.e., forms) of the input N. We have now completed that vital task by developing a general analytic proof of the BPC using its polynomial domain reformulation. A concise presentation of that analytic proof is the main and narrow focus as well as the main new contribution of this article. An auxiliary contribution is a clear and precise explanation of the intuition behind our approach and the illustration of how it leads to the new theoretical results developed in [1].The author would like to thank his colleague Professor Alan T. Sherman for his prompt, detailed and helpful comments on multiple versions of this document. The author also thanks Prof. Erich Bach from the CS Dept. at the University of Wisconsin, Madison for providing proofs of some critical conjectures (other than the BPC) that were unveiled in [1]. See footnote number 6 at the bottom of page number 20, and reference [10] for further details.https://www.techrxiv.org/articles/preprint/Analytic_Proof_of_the_recent_Baseline_Primality_Conjecture/1713904
    corecore