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A critical review of anticancer properties of Withania somnifera (L.) Dunal with respect to the biochemical mechanisms of its phytochemical constituents
Cancer is a leading cause of mortality worldwide, the conventional chemotherapeutic drugs have been known for their toxicity and numerous side effects. A new approach to treat cancer involves phytochemical drugs. In the present review, anti-cancer activity of a class of steroidal lactones called withanolides obtained from Withania somnifera (L.) Dunal is discussed. The commonly studied bioactive compounds namely withaferin-A, withanoside IV, withanoside VI and withanolide-A among others obtained from methanolic and chloroform extract of the leaves and various alcoholic, aqueous and chloroform extract of roots have shown inhibition to various human cancer cell lines including skin, breast, colon, prostate, liver, ovary, cervical and lung. Prominent mechanisms of action include induction of apoptosis by NOS upregulation, ROS production and NBS2 or COX-2 inhibition; cytotoxicity by humoral and cell mediated immune response, activation of p53 and pRB and inhibition of various viral oncoproteins; cell cycle arrest by Cdc2 facilitated mitotic catastrophe, cyclin-D1 down-regulation and inhibition of transcription factors. Cancers are also controlled by inhibition of angiogenesis and metastasis of the tumor cells. In addition to anti-tumorogenic properties, W. somnifera also holds properties that make it a potential adjuvant in integrated cancer therapeutics and in enhancing the effectiveness of ongoing radiation therapy. Surya et al (2021). -
A molecular docking study of SARS-CoV-2 main protease against phytochemicals of Boerhavia diffusa Linn. for novel COVID-19 drug discovery
SARS-CoV-2, the causative virus of the Corona virus disease that was first recorded in 2019 (COVID-19), has already affected over 110 million people across the world with no clear targeted drug therapy that can be efficiently administered to the wide spread victims. This study tries to discover a novel potential inhibitor to the main protease of the virus, by computer aided drug discovery where various major active phytochemicals of the plant Boerhavia diffusa Linn. namely 2-3-4 beta-Ecdysone, Bioquercetin, Biorobin, Boeravinone J, Boerhavisterol, kaempferol, Liriodendrin, quercetin and trans-caftaric acid were docked to SAR-CoV-2 Main Protease using Molecular docking server. The ligands that showed the least binding energy were Biorobin with ? 8.17kcal/mol, Bioquercetin with ? 7.97kcal/mol and Boerhavisterol with ? 6.77kcal/mol. These binding energies were found to be favorable for an efficient docking and resultant inhibition of the viral main protease. The graphical illustrations and visualizations of the docking were obtained along with inhibition constant, intermolecular energy (total and degenerate), interaction surfaces and HB Plot for all the successfully docked conditions of all the 9 ligands mentioned. Additionally the druglikeness of the top 3 hits namely Bioquercetin, Biorobin and Boeravisterol were tested by ADME studies and Boeravisterol was found to be a suitable candidate obeying the Lipinskys rule. Since the main protease of SARS has been reported to possess structural similarity with the main protease of MERS, comparative docking of these ligands were also carried out on the MERS Mpro, however the binding energies for this target was found to be unfavorable for spontaneous binding. From these results, it was concluded that Boerhavia diffusa possess potential therapeutic properties against COVID-19. 2021, Indian Virological Society. -
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Block chain-based security and authentication for forensics application using consensus proof of work and zero knowledge protocol
The technique that checks the origin, integrity, Zero-Knowledge authenticity of photographs is known as image authentication. Numerous studies on image authentication have revealed numerous trade-offs between four desirable features, namely robustness, security, flexibility, and efficiency. This study demonstrated a high-security Forensic Image (FI) as well as an authentication mechanism. Initially, the FI considered image registration with features for the Consensus method (CM) to generate blocks on each feature using a hypothesis test-based similarity measure. Because Proof-of-Work (PoW) blockchain technology is widely used, maintaining the Consensus PoW(CPoW) requires a massive amount of computing power. ZKP authentication is a critical cryptographic mechanism that authenticates network nodes without revealing the users identity or any other data given by the user. The blockchain stores the secret information, as well as the hash value of the original FI. This allows for the tracking of all medical pictures exchanged through the proposed blockchain network. The blockchain stores the private information as well as the hash value of the original medical image. The experimental results indicate the utility of the proposed approach with performance measures in contrast to established security analysis methods. Bharati Vidyapeeth's Institute of Computer Applications and Management 2024. -
Influence of celebrity source credibility and celebrity-fan relationship on Fan's attitude towards social cause
Celebrities hold a special place in popular imagination. Their power to inspire fashion, choice of vacation, dictate food preferences and a host of other services is an interesting field of study. Over the years, celebrity endorsement has appeared as a leading advertisement format in developing successful brand campaigns. Celebrity endorsements are grounded on a common belief that endorsers can increase advertisement credibility thereby increasing brand image, awareness, and purchase behaviour. Understanding the nature of celebrities as sources in advertisements and promotions is a widely researched topic. There is an abundance of literature on the use of celebrities in commercial advertising with the end goal being sales and profits realised through intermediate outcomes such as brand image, attitude change, brand awareness and many others. Several celebrities across the world have endorsed social cause campaigns sponsored by governments and not-for-profit organizations. -
A Study of Customer Satisfaction towards Selected Hotels in Bangalore
Golden Research Thoughts, Vol. 2, Issue No. 2, pp. 61-68, ISSN No. 2231-5063 -
A Study on Regular Perfect Graphs
A graph (V, E) is said to be a perfect graph if the independence number of every induced subgraph in G is equal to the clique covering number of the subgraph in G. The independence number of a graph G is denoted by and#945;(G), and it is the maximum number of vertices in G such that no two of them belong to the same clique in G. The clique covering number of a graph G is denoted by and#952;(G), and is the minimum number of cliques required to cover the vertex set of G. F- perfect graph is a special type of perfect graph, where F can be any graph, like, complete graph (Km), the complement of a complete graph (Km), star, cycle, and so on. A graph G is said to be F-perfect if F-independence number for every newlineinduced subgraph H of G is equal to its F-covering number. The F-independence number of a graph G is the maximum number of vertices in G such that no two of them belong to the same F-subgraph in G. F-covering number is the minimum number of F-subgraphs in G that is required to cover the vertex set of G. newlineThe present study introduces the concept of regular perfect graphs, and induced regular perfect graphs which are denoted by R-perfect graphs, and R-perfect graphs respectively. These graph classes are obtained by considering F as the set of all regular subgraphs in a graph, R, and the set of all induced regular subgraphs, R, in a graph respectively. We conceptualise the graph parameters, R-independence number, and R-covering number for R-perfect graphs and R-independence number, and R-covering number for R-perfect graphs, and characterise both these classes of graphs. We initially study a subclass of regular perfect graphs, namely, cycle perfect graphs (C-perfect graphs) and induced cycle perfect graphs (C-perfect graphs). Further we extend the study to analyse various product graphs under C-perfection, and characterise them. -
Synthesis, Characterization and Catalytic activity of Zirconia-Ceria catalysts
The development of catalysts is critical for the economical and environmentally efficient generation of chemical compounds that underlie every aspect of our society. Catalysts are key players in research involving the discovery of pharmaceuticals, materials, and polymers. In addition, catalysis is especially powerful in bulk synthesis, allowing the production of compounds, polymers and commodity chemicals via routes that would otherwise be impossible. Ceria is the unique rare earth for which dioxide is the normal stable phase contrary to the others for which Ln2O3 is the normal stoichiometry. The applications of ceria based materials are related to a potential redox chemistry involving Ce(III) and Ce(IV), high affinity of the element for oxygen and sulphur and absorption/excitation energy bands associated with its electronic structure. Zirconium is one of the more abundant elements, and is widely distributed in the Earth's crust. Being very reactive chemically, it is found only in the combined state or as part of a complex of oxides as in zircon, elpidite, and eudialyte. Doping ceria with zirconia may improve the oxygen storage properties of ceria at three different levels. At the level of the microstructure, it inhibits surface diffusion and in turn the loss of surface area at high temperatures. At the microscopic level, substantial doping may result in the formation of an interface structure that facilitates the oxygen transport from bulk to the surface. At the atomic-level, it stabilizes the oxygen defective structure. The texture, structure and thermal stability of ceria-zirconia doped oxides are closely related to the ratio of cerium to zirconium in the solid solution. Chapter 1 comprises of the general introduction of catalysis, importance of solid acid catalysis, sulphated metal oxides, pure ceria, pure zirconia, modified ceria and zirconia. It gives a brief introduction about the nitration of toluene. The aim and objectives of the present investigation are also described at the end of this chapter. Chapter 2 comprises of a thorough literature survey on the significance of solid acid and super acid catalysts in various domains of chemical industry and importance of anion promoted zirconia and ceria catalysts. The definition of ??super acid and their classification vii on the basis of origin of the active sites are also outlined. Importance of modified metal oxides is also outlined. Chapter 3 deals with the experimental procedures and techniques employed in this investigation. Scientific aspects of the precipitation and impregnation methods were outlined. The experimental details of surface area measurements by BET method, application of X-ray powder diffraction studies for crystalline phase and size determination, elemental detection by EDAX, spectral details from FTIR and thermal stability by TGA have been described. Chapter 4 deals with the various characterization results and discussion of pure, doped and sulphated Zirconia-ceria solid acid catalysts. The bulk and surface properties of the catalyst was discussed by XRD, BET surface area, TGA and FTIR. All characterization results revealed that the incorporated sulphate ions has a significant influence on the surface and bulk properties of the ZrO2-CeO2 catalyst. The prepared catalysts are investigated for the liquid phase nitration of toluene under various reaction conditions. Chapter 5 gives with the summary and conclusion of the present study. It also gives the future scope of the present study. On the whole, zirconia-ceria solid acid catalysts were successfully synthesized by simple route. Physicochemical characterization of all these catalysts revealed that the loaded sulphated and doped metal oxides show a significant influence on the surface and bulk properties of the ZrO2 - CeO2. These catalysts are found to be active for the liquid phase nitration of toluene. Key words: Solid acid catalysis, Zirconia-Ceria, Sulphated zirconia-ceria, Nitration of toluene -
An investigation of the business level strategies in Zimbabwe food manufacturing sector (2006 -2013) /
International Journal Of Science And Research, Vol.3, Issue 6, pp.1052-1063, ISSN No: 2319-7064. -
Image captcha cropping using symbols (ICS) /
Patent Number: 202041010986, Application: Dr.K.Suresh Kumar.
Web Security invention has grownup extremely vital over the years as the internet has become the place for the behavior of business in today's world. Numerous attacks stated worldwide that hamper web security by creating a substantial threat to appreciate user data. One amid them is a phishing attack. It is a technique by which an attacker attempts to snip vital data such as user names, PINs, and other private facts by constructing fake websites and cover them as if they remained legitimate ones. -
Unmanned aerial vehicle (UAV) to autonomously and wirelessly monitor security /
Patent Number: 202041010349, Applicant: Dr. K Selvi.
An unmanned aerial vehicle (UAV) autonomously and wirelessly monitors security within premises. The UAV includes a body, brushless dc motors (BLDC), a motor control dispatcher, a flight control board, sensors, wind propellers, solar panel, and a battery. The body uses a high landing gear skid to provide friction during flight maneuverability of the UAV. The BLDC actuates a rotor blade of the UAV, electrical wirings and connectors. -
An artificial intelligence based smart cap with voice assistant for blind person /
Patent number: 202241013502, Applicant: Dr. Aruna S K.
People who are completely blind or have reduced eyesight confront numerous challenges while navigating. Every day, they face a variety of challenges, particularly in terms of mobility. Several systems have been developed to assist visually impaired people and improve their quality of life. This invention helps the blind to navigate independently using smart cap. It enables visually impaired people to see the world by voice assistance. It enables the blind and visually impaired to navigate freely by allowing them to experience their surroundings through audio output that describes the identified things. -
Influence of social issues potrayed in commercial movies on the youth audience /
The dissertation titled Influence of social issues portrayed in commercial movies on the youth audience speaks about the effectiveness of the film as a means of communication to the large audience especially to the youth. As in the recent times the film industry is growing tremendously and many films are Bourne to experimentation, and commercial films also changing. In this regard this research paper analyses the implication of the commercial films on the youth audience as they are more prone to the changes of the media. The researcher analysis in this research paper the effectiveness of the commercial films on the youth audience, For this purpose the researcher conducted survey analysis taking 100 respondents as the sample size of youth group ranging from 15 -30 age group. In the literature review the researcher have used few theories to explain the phenomenon and also have collected few previously done researches related to the area of the subject. -
Effectual Energy Optimization Stratagems for Wireless Sensor Network Collections Through Fuzzy-Based Inadequate Clustering
Wireless Sensor Networks (WSNs) are crucial in the burgeoning Internet of Things (IoT) landscape, serving as a backbone technology that enables myriad applications across various industries. Originating as a simple methodology, WSNs have evolved significantly, propelled by rapid advancements in sensor technology and hardware capabilities. These networks play a pivotal role in collecting and transmitting data, which is essential for the infrastructure of most IoT systems. WSNs operate by deploying sensor nodes across diverse locations to gather environmental data. This scalability and adaptability of WSNs were demonstrated in studies where network coverage was expanded to include 100 and 200 nodes. Notably, the implementation of the innovative FLECH (Fuzzy Logic Energy-efficient Clustering Hierarchy) protocol significantly enhanced energy efficiency, reducing consumption by 12.69% in networks with 100 nodes and by 36.85% in those with 200 nodes, compared to the traditional LEACH (Low-Energy Adaptive Clustering Hierarchy) protocol. This work innovatively combines fuzzy logic and Particle Swarm Optimization (PSO) for efficient Cluster Head selection in Wireless Sensor Networks. The evaluation of these protocols involved numerous simulations and communication tests to ascertain the First Node Die (FND) pointindicative of when a network begins to lose efficacy due to energy depletion. Results indicated that the LEACH protocol reached the FND point faster than FLECH, suggesting that FLECH may offer better longevity and durability for IoT applications, aligning with the needs for sustainable and efficient operation in expanding technological ecosystems. The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd. 2024. -
Novel approaches for nonlinear Sine-Gordon equations using two efficient techniques
In this work, we obtained a new functional matrix using Clique-polynomials of complete graphs (Formula presented.) with (Formula presented.) vertices and considered a new approach to solving the SineGordon (SG) equation. The clique polynomial method transforms this equation into a system of algebraic equations. The solution will be drawn with the help of Newton Raphsons method. Also, we employed the q-homotopy analysis transform method (q-HATM), which is the proper collision of the Laplace transform and the q-homotopy analysis method (q-HAM). To witness the reliability and accuracy of the considered schemes, some illustrations of the SG equation and double SG equation are considered. Here, the SG equation is solved easily and elegantly without using discretization or transformation of the equation by using the q-HATM. Also, in q-HATM, the presence of homotopy and axillary parameters allows us to have a large convergence region. The 3D surfaces of acquired solutions are drawn effectively. The tables of error analysis demonstrate the success of these methods. 2024 Informa UK Limited, trading as Taylor & Francis Group. -
Hybrid models for intraday stock price forecasting based on artificial neural networks and metaheuristic algorithms
Stock market prediction is one of the critical issues in fiscal market. It is important issue for the traders and investors. Artificial Neural Networks (ANNs) associated with nature inspired algorithms are playing an increasingly vital role in many areas including medical field, security systems and stock market. Several prediction models have been developed by researchers to forecast stock market trend. However, few studies have focused on improving stock market prediction accuracy especially when utilizing artificial neural networks to perform the analysis. This paper proposed nine new integrated models for forecasting intraday stock price based on the potential of three ANNs, Back Propagation Neural Network (BPNN), Radial Basis Function Neural Network (RBFNN), Time Delay Neural Network (TDNN) and nature inspired algorithms such as Genetic Algorithm (GA), Particle Swarm Optimization (PSO) and Artificial Bee Colony (ABC).The developed models were named as GA-BPNN, PSO-BPNN, ABC-BPNN, GA-RBFNN, PSO-RBFNN, ABC-RBFNN, GA-TDNN, PSO-TDNN and ABC-TDNN. Nature inspired algorithms are employed for optimizing the parameters of ANNs. Technical indicators calculated from historical data are fed as input to developed models. Proposed hybrid models validated on four datasets representing different sectors in NSE. Four statistical metrics, Root Mean Square Error (RMSE), Hit Rate (HR), Error Rate (ER) and prediction accuracy were utilized to gauge the performance of the developed models. Results proved that the PSO-BPNN model yielded the highest prediction accuracy in estimating intraday stock price. The other models, GA-BPNN, ABC-BPNN, GA-RBFNN, PSO-RBFNN, ABC-RBFNN, GA-TDNN, PSO-TDNN and ABC-TDNN produced lower performance with mean prediction accuracy of 97.24%, 98.37%, 84.01%, 85.15%, 84.01%, 83.87%, 89.95% and 78.61% respectively. 2021 -
Systemless authoritarianism, counter-archives, and literary witnessing: a New Historicist and cultural-political reading of Arundhati Roys The Ministry of Utmost Happiness
Arundhati Roys The Ministry of Utmost Happiness offers a significant literary response to the evolving forms of authoritarianism in postcolonial India. This article uses a New Historicist and cultural-political framework to analyse the idea of systemless authoritarianism. Instead of using overt state force, the idea refers to a diffused and socially acceptable type of authority that functions through common institutions, cultural norms, and unofficial practices. Roys multi-voiced narrative focuses on marginalised characters such as Anjum, Tilo, and Musa, whose interwoven stories show how repression is intertwined with caste, gender, bureaucracy, and territorial warfare. Using theoretical concepts from Antonio Gramsci, Marlies Glasius, Michel Foucault, and Stephen Greenblatt, the study looks at Roys creation of a counter-archive that challenges official narratives and offers a voice to those who have been silenced. By examining spaces such as the militarised Kashmir Valley and the Jannat Guest House, the study demonstrates how authoritarian authority operates through internalised discipline and cultural consensus inside democratic communities. Ultimately, the novels fractured narrative structure, documentary style, and intertextual elements function as literary witnessing acts that resist authoritarian erasure and recreate various forms of belonging. 2026 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. -
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Model independent analysis in (?, n) reactions using deuterium targets
Photonuclear reactions play an important role in nuclear physics, astrophysics and in various applications such as non-destructive measurement of nuclear materials (NDT). The study of (?, n) reactions using deuterium targets i.e., photodisintegration of deuterons in addition to all the other (?, n) reactions, is of considerable interest to these fields. In this contribution, we have studied the photodisintegration of deuterons with unpolarized photons. The angular dependence of the differential cross section is studied by expressing it in terms of Legendre polynomials. The analysis of differential cross-section is presented using the model-independent irreducible tensor formalism. 2021