Phosphorylation of p53 by LRRK2 induces microglial tumor necrosis factor α (TNFα)-mediated neurotoxicity

Son, I.,Ho, D.,Kim, J.,Cho, S.,Seol, W. Elsevier Pub. Co 2017 Journal of the neurological sciences Vol.381 No.-

Traditional uses, phytochemistry and pharmacology of Bauhinia racemosa Lam - a review

Vishal Soni,Arvind Kumar Jha,Jaya Dwivedi,Priyanka Soni 셀메드 세포교정의약학회 2015 TANG Vol.5 No.4

Bahunia racemosa family, Caesalpiniaceae, is one of the precious resources of the earth. It has played a significant role in human civilization since ancient times. It is tall sized tree growing throughout India, Ceylon, China, and Timor. The different part of this plant contains β-sitosterol and β-amyrin, flavonols (kaempferol and quercetin) and two coumarins (scopoletin and scopolin), tannins etc. Various part of this plant has great pharmacological potential with a great utility and usage as folklore medicine as analgesic, antipyretic, anti-inflammatory, antispasmodic and antimicrobial activity. This review mainly focus on the exclusive review work on the traditional, phytochemical and pharmacological activities of this plant.

Traditional uses, phytochemistry and pharmacological profile of Bambusa arudinacea Retz

Vishal Soni,Arvind Kumar Jha,Jaya Dwivedi,Priyanka Soni 셀메드 세포교정의약학회 2013 셀메드 (CellMed) Vol.3 No.3

Bambusa arundinacea family Graminae, is one of the precious plant resources of the earth. It has played a significant role in human civilization since ancient times. It is tall sized tree growing throughout India, moist parts of India. It also occurs in Sri Lanka, Malaya, Peru and Myanmar. The different parts of this plant contain silica, cholin, betain, cynogenetic glycosides, albuminoids, oxalic acid, reducing sugar, resins, waxes, benzoic acid, arginine, cysteine, histidine, niacin, riboflavin, thiamine, protein, gluteline, contains lysine, methionine, betain, cholin, proteolytic enzyme, nuclease, urease. Various parts of this plant such as leaf, root, shoot and seed possess anti-inflammatory, antiulcer, anti-diabetic, anti-oxidant, anthelmintic, antifertility, antibacterial, insectisidal, antiarthritic, vessele protection etc. This review mainly focuses on the traditional, phytochemical and pharmacological information of Bambusa arundinacea.

Centralized Machine Learning Versus Federated Averaging: A Comparison using MNIST Dataset

Sony Peng,Yixuan Yang,Makara Mao,Doo-Soon Park 한국인터넷정보학회 2022 KSII Transactions on Internet and Information Syst Vol.16 No.2

A flood of information has occurred with the rise of the internet and digital devices in the fourth industrial revolution era. Every millisecond, massive amounts of structured and unstructured data are generated; smartphones, wearable devices, sensors, and self-driving cars are just a few examples of devices that currently generate massive amounts of data in our daily. Machine learning has been considered an approach to support and recognize patterns in data in many areas to provide a convenient way to other sectors, including the healthcare sector, government sector, banks, military sector, and more. However, the conventional machine learning model requires the data owner to upload their information to train the model in one central location to perform the model training. This classical model has caused data owners to worry about the risks of transferring private information because traditional machine learning is required to push their data to the cloud to process the model training. Furthermore, the training of machine learning and deep learning models requires massive computing resources. Thus, many researchers have jumped to a new model known as "Federated Learning". Federated learning is emerging to train Artificial Intelligence models over distributed clients, and it provides secure privacy information to the data owner. Hence, this paper implements Federated Averaging with a Deep Neural Network to classify the handwriting image and protect the sensitive data. Moreover, we compare the centralized machine learning model with federated averaging. The result shows the centralized machine learning model outperforms federated learning in terms of accuracy, but this classical model produces another risk, like privacy concern, due to the data being stored in the data center. The MNIST dataset was used in this experiment.

A Study of Generalized Weyl Differintegral Operator Associated with a General Class of Polynomials and the Multivariable H-function

Soni, Ramesh Chandra,Wiseman, Monica Department of Mathematics 2010 Kyungpook mathematical journal Vol.50 No.2

In the present paper, we obtain a new formula for the generalized Weyl differintegral operator in a compact form avoiding the occurrence of infinite series and thus making it useful in applications. Our findings provide interesting generalizations and unifications of the results given by several authors and lying scattered in the literature.

Reliability analysis of acyclic transmission network based on minimal cuts using copula in repair

Soni Bisht,S.B Singh 장전수학회 2019 Proceedings of the Jangjeon mathematical society Vol.22 No.3

In the present paper, we have considered acyclic transmis- sion network in which number of nodes are capable of receiving or send- ing a signal to the target nodes. To model the proposed acyclic trans- mission network, the present study combined the concepts of Markov processes and minimal cuts incorporating copula to nd the various re- liability measures. The considered network can have four possible states namely operable, partial failure, critical failure and complete failure. The proposed network can be repaired in two dierent ways. When the network is in critical state it is repaired with general repair, whereas, in complete failure state it is repaired with the help of two dierent repair rates, namely, general and exponential. The general and expo- nential distributions have been incorporated with the application of the Gumbel-Hougaard family of copula. Various reliability characteristics such as transition state probabilities, asymptotic behavior, reliability, mean time to failure and sensitivity of the proposed network has been evaluated with the help of minimal cuts coupling with Markov processes using GumbelHougaard copula, supplementary variable techniques and Laplace transforms.

Enhancement of Semantic Interoperability in Healthcare Systems Using IFCIoT Architecture

Sony P,Siva Shanmugam G,Sureshkumar Nagarajan 한국인터넷정보학회 2024 KSII Transactions on Internet and Information Syst Vol.18 No.4

Fast decision support systems and accurate diagnosis have become significant in the rapidly growing healthcare sector. As the number of disparate medical IoT devices connected to the human body rises, fast and interrelated healthcare data retrieval gets harder and harder. One of the most important requirements for the Healthcare Internet of Things (HIoT) is semantic interoperability. The state-of-the-art HIoT systems have problems with bandwidth and latency. An extension of cloud computing called fog computing not only solves the latency problem but also provides other benefits including resource mobility and on-demand scalability. The recommended approach helps to lower latency and network bandwidth consumption in a system that provides semantic interoperability in healthcare organizations. To evaluate the system's language processing performance, we simulated it in three different contexts. 1. Polysemy resolution system 2. System for hyponymy -hypernymy resolution with polysemy 3. System for resolving polysemy, hypernymy, hyponymy, meronymy, and holonymy. In comparison to the other two systems, the third system has lower latency and network usage. The proposed framework can reduce the computation overhead of heterogeneous healthcare data. The simulation results show that fog computing can reduce delay, network usage, and energy consumption.

Cloning of phospholipase A2 gene and its role in mediating cellular immune response in red flour beetle, Tribolium castaneum

Sony Shrestha,Yoonseong Park,Yonggyun Kim 한국응용곤충학회 2008 한국응용곤충학회 학술대회논문집 Vol.2008 No.05

Phospholipase A2 (PLA2) is the committed catalytic step of eicosanoid biosynthesis, which has been a common molecular target of several entomopathogens to induce insect immunosuppression. Despite critical importance of PLA2 in insect immunity, its gene structure was not known. This study identified insect PLA2 gene associated with immune reactions in the red flour beetle, Tribolium castaneum. Based on a previous study that an immune-associated PLA2 in insect is secretory type of PLA2 (sPLA2), five highly matched cDNA sequences were obtained from T. castaneum genome database using an sPLA2 sequence probe encoded in Drosophila melanogaster. The expressions of these five putative PLA2 were confirmed by reverse transcriptase-polymerase chain reaction. Out of five genes, one PLA2 gene called TcPLA2B was chosen because it showed specific expression in hemocyte and fat body. TcPLA2B was cloned and expressed in Escherichia coli and its protein was purified. The purified TcPLA2B showed PLA2enzyme activity, which was specifically inhibited by bromophenacyl bromide (a specific sPLA2inhibitor) and dithiothreitol (reducing agent of disulfide bond). It was sensitive to pH (optimum at pH 6.0) and reaction temperature (optimum at 10-30°C), and calcium dependency. An immunofluorescence assay indicated that TcPLA2B was localized near to cellular membrane of the cytosol in the hemocytes of T. castaneum at immune chanlenge. Double-stranded RNA (dsRNA) of TcPLA2B-treated larvae showed knockdown of its mRNA expression and did not form hemocyte nodule formation, while control larvae could exhibit time- and bacterial dose-dependent nodule formation in response to bacterial challenge. Addition of arachidonic acid (the catalytic product of PLA2) to the dsRNA-treated larvae rescued the inhibition of nodule formation. These results suggest that TcPLA2B gene is associated with insect immune reaction.

Development of Novel Insecticidal Compounds Using Eicosanoid Biosynthesis Inhibitors Originated from Entomopathogenic Bacteria

Sony Shrestha,Yonggyun Kim 한국응용곤충학회 2009 한국응용곤충학회 학술대회논문집 Vol.2009 No.05

An entomopathogenic bacterium, Xenorhabdus nematophila, induces an immunosuppression by inhibiting phospholipase A2 (PLA2), which results in a fatal septicemia. PLA2 is an enzyme responsible for eicosanoid biosynthesis and the pathogenic molecular target of this bacterium. A PLA2 gene of the red flour beetle, Tribolium castaneum, was expressed in Escherichia coli. The recombinant T. castaneum PLA2 (TcPLA2) showed enzyme activity, which was specifically inhibited by bromophenacyl bromide (specific inhibitor to secretory PLA2) and ditheothreitol (reducing agent of disulfide bond). It was sensitive to pH (optimum at pH 7.0), temperature (optimum at 30°C), substrate specificity and calcium dependency. X. nematophila released compound(s) inhibiting TcPLA2during its stationary growth phase. The active compound (s) was resistant to heat treatment and could be extracted separately into both organic and aqueous phases. This PLA2 inhibitory fraction showed significant effect on immunosuppression of T. castaneum. These results suggest there may be several PLA2 inhibitors synthesized by X. nematophila and released into culture broth. The recombinant TcPLA2 was also used to screen potent PLA2 inhibitor compounds, which were designed based on a common chemical structure (a pentenebenzene ring) of two peptide inhibitors, proline-tyrosine (PY) and acetylated phenylalanine-glycine-valine (AcFGV). Alterations were made on amino acid sequence or specific functional groups on the pentenebenzene ring. Among 7 different peptides, AY and FGV showed the most potent effects on TcPLA2activity and also resulted in significant reductions in hemocyte spreading behavior of Plutella xylostella. The potent candidate molecules would be applied to control various insect pests to be developed into novel insecticides.

A weighted Fourier series with signed good kernels

Sony Chan,임경수 대한수학회 2017 대한수학회보 Vol.54 No.3

It is natural to try to find a kernel such that its convolution of integrable functions converges faster than that of the Fej\'er kernel. In this paper, we introduce a weighted Fourier partial sums which are written as the convolution of signed good kernels and prove that the weighted Fourier partial sum converges in $L^2$ much faster than that of the Ces\`aro means. In addition, we present two numerical experiments.