The spectrum of microvascular patterns in adult diffuse glioma and their correlation with tumor grade

Soni,Vaishali Walke,Deepti Joshi,Tanya Sharma,Adesh Shrivastava,Amit Agrawal 대한병리학회 2024 Journal of Pathology and Translational Medicine Vol.58 No.3

Background: Primary brain tumors constitute the leading cause of cancer-related mortality. Among them, adult diffuse gliomas are the most common type, affecting the cerebral hemispheres and displaying a diffuse infiltrative pattern of growth in the surrounding neuropil that accounts for about 80% of all primary intracranial tumors. The hallmark feature of gliomas is blood vessel proliferation, which plays an important role in tumor growth, tumor biological behavior, and disease outcome. High-grade gliomas exhibit increased vascularity, the worst prognosis, and lower survival rates. Several angiogenic receptors and factors are upregulated in glioblastomas and stimulate angiogenesis signaling pathways by means of activating oncogenes and/or down-regulating tumor-suppressor genes. Existing literature has emphasized that different microvascular patterns (MVPs) are displayed in different subtypes of adult diffuse gliomas. Methods: We examined the distribution and biological characteristics of different MVPs in 50 patients with adult diffuse gliomas. Haematoxylin and eosin staining results, along with periodic acid–Schiff and CD34 dual-stained sections, were examined to assess the vascular patterns and correlate with different grades of diffuse glioma. Results: The present observational study on adult diffuse glioma evaluated tumor grade and MVPs. Microvascular sprouting was the most common pattern, while a bizarre pattern (type 2) was associated with the presence of a high-grade glioma. Vascular mimicry was observed in 6% of cases, all of which were grade 4 gliomas. Conclusions: This study supplements the role of neo-angiogenesis and aberrant vasculature patterns in the grading and progression of adult diffuse gliomas, which can be future targets for planning treatment strategies.

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 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.

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.

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.

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.

Trapping lithium polysulfides within the cathode by doping MnO2 nanorods into an exfoliated graphite/sulfur composite for lithium–sulfur batteries

Soni Sunil,Kumar Ranveer,Sodhiya Anubha,Patel Shwetambar,Singh Arun Kumar 한국탄소학회 2022 Carbon Letters Vol.32 No.6

Here, we have demonstrated the successful exfoliation of graphite into a layered material with scotch tape-like exfoliation. Sulfur acts as an exfoliating agent and exfoliates the loosely bounded graphite stacks. The shear force by ball milling provides the force required to overcome the van der Waals force between the layers. The MnO2 nanorods were synthesized using a KMnO4 precursor in a hydrothermal arrangement, and due to their intrinsic chemisorption capability, they were doped for polysulfide trapping. With an initial capacity of 1150 mAh/g achieved by the MnO2 nanorod-doped exfoliate-graphite/sulfur composite material, the material has displayed its application in lithium–sulfur batteries, but its use is not limited; it can be a low-cost eco-friendly solution to various energy storage systems with extensive structural qualities.

Formulation of Theoretical Relation for Flow Acoustic Feedback inside a Resonator

Sony Chindada,Duck Joo Lee 한국항공우주학회 2016 한국항공우주학회 학술발표회 논문집 Vol.2016 No.4

Quantum-based exact pattern matching algorithms for biological sequences

Soni, Kapil Kumar,Rasool, Akhtar Electronics and Telecommunications Research Instit 2021 ETRI Journal Vol.43 No.3

In computational biology, desired patterns are searched in large text databases, and an exact match is preferable. Classical benchmark algorithms obtain competent solutions for pattern matching in O (N) time, whereas quantum algorithm design is based on Grover's method, which completes the search in $O(\sqrt{N})$ time. This paper briefly explains existing quantum algorithms and defines their processing limitations. Our initial work overcomes existing algorithmic constraints by proposing the quantum-based combined exact (QBCE) algorithm for the pattern-matching problem to process exact patterns. Next, quantum random access memory (QRAM) processing is discussed, and based on it, we propose the QRAM processing-based exact (QPBE) pattern-matching algorithm. We show that to find all t occurrences of a pattern, the best case time complexities of the QBCE and QPBE algorithms are $O(\sqrt{t})$ and $O(\sqrt{N})$, and the exceptional worst case is bounded by O (t) and O (N). Thus, the proposed quantum algorithms achieve computational speedup. Our work is proved mathematically and validated with simulation, and complexity analysis demonstrates that our quantum algorithms are better than existing pattern-matching methods.

Some Theorems Connecting the Unified Fractional Integral Operators and the Laplace Transform

Soni, R. C.,Singh, Deepika Department of Mathematics 2005 Kyungpook mathematical journal Vol.45 No.2

In the present paper, we obtain two Theorems connecting the unified fractional integral operators and the Laplace transform. Due to the presence of a general class of polynomials, the multivariable H-function and general functions ${\theta}$ and ${\phi}$ in the kernels of our operators, a large number of (new and known) interesting results involving simpler polynomials (which are special cases of a general class of polynomials) and special functions involving one or more variables (which are particular cases of the multivariable H-function) obtained by several authors and hitherto lying scattered in the literature follow as special cases of our findings. Thus the Theorems obtained by Srivastava et al. [9] follow as simple special cases of our findings.