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Cubic spline curve public key cryptography
In this work, a cubic spline curve is considered for Asymmetric mode encrypting data. A Cubicspline curve is used to generate a set of points under initial known boundary conditions. This set of points is considered as generator points. Given the field, known the generator points, considering for some time and space steps and for a considered private key, Public key will be generated based on Discrete Logarithm problem. Thus for a set of public and private keys, data can be transmitted securely with features like Authenticity of users, Security & Confidentiality of data transmitted. Going by the construction of the algorithm, Encryption is being done on blocks of data for which it consumes less computing resources. Going by complexity of the algorithm, the key length needed is about 120 bit lengths to provide sufficient strengths against cryptoanalysis. 2017 Taru Publications. -
Fully homomorphic encryption with matrix based digital signature standard
In this work, a novel mechanism is considered for Asymmetric mode encrypting data. A generator matrix is used to generate a field with a large prime number. The generator matrix, prime number and ternary vector are used as global variables. Those global variables are used to calculate public key and sub keys. Using the Global Variables and Private key, a Digital signature algorithm is proposed which supports the feature like Authenticity of users. The mechanism can also be used in Homomorphic Encryption where computations to be carried out on cipher text and generate an encrypted result which, when decrypted, matches the result of operations performed on the plaintext. 2017 Taru Publications. -
A novel approach with matrix based public key crypto systems
Here in this model, a new mechanism is used for Public Key Cryptography. A generator matrix is used to generate a field with a large prime number. The generator matrix, prime number and quaternary vector are used as global variables. The Generator Matrix is powered by a private key to generate Public Key. Since the model is based on Discrete Logarithm Problem, which is Hard problem, the proposed algorithm supports the features like Authenticity of users, Security & Confidentiality of data transmitted. Going by the construction of the algorithm, Encryption is being done on blocks of data for which it consumes less computing resources. Going by complexity of the algorithm, the key length needed is about 72 bit lengths to provide sufficient strengths against crypto analysis. 2017 Taru Publications. -
Comparison of cultivated Cordyceps militaris and wild Ophiocordyceps sinensis using high-performance thin-layer chromatography
Cordyceps, a fungus from the Clavicipitaceae family, has long been utilised in traditional Chinese medicine as a rare and prized mushroom. Among 750 known species, two noteworthy species within the genus are Ophiocordyceps sinensis and Cordyceps militaris. Among the active components generated by this genus, cordycepin and adenosine are particularly significant and exhibit various pharmacological properties. To evaluate and compare the concentrations of cordycepin and adenosine, high-performance thin-layer chromatography profiling was employed on lab-grown C. militaris and wild O. sinensis. Water and ethanol were utilised to extract the nucleosides. The concentrations of these nucleosides from different samples were calculated by using Rf (Retention factor) values of both cordycepin and adenosine standards. Interestingly, the fruiting bodies of C. militaris obtained through solid-state fermentation exhibited a higher cordycepin content (12.3 mg/g) compared to biomass obtained via liquid static culture. In the case of O. sinensis, cordycepin was found to be absent, with only adenosine (approximately 0.81 mg/g) being quantified. 2024 World Researchers Associations. All rights reserved. -
Development and Validation of the UV-Spectrophotometric Method for the Determination of Cordycepin, a Nucleoside
The primary, bioactive component of Cordyceps militaris, known as cordycepin (3'-deoxyadenosine), has been utilized extensively as a traditional medicinal ingredient and a nutritious diet in Asian nations. To determine the amount of cordycepin in the C. militaris, high-performance liquid chromatography (HPLC) is shown to be an effective, sensitive, and straightforward analytical technique. Other methods for estimating cordycepin include near infrared spectroscopy and capillary electrophoresismass spectrometry. The UV-Vis spectroscopy approach was used to quantify cordycepin, and the results were statistically confirmed and compared with an HPLC method. For linearity, repeatability, precision, reproducibility, limit of detection and limit of quantification, the method was verified. The established approach can be utilized for routine, quality control analysis of cordycepin, as it is easy to use, sensitive, accurate, precise, repeatable, and most importantly, cost-effective. Springer Science+Business Media, LLC, part of Springer Nature 2024. -
Enterococcus species and their probiotic potential: Current status and future prospects
Probiotics are described as live microbes that, once consumed in sufficient quantities, provide a health advantage to the host. A rising number of research works have verified the health benefits of probiotics. Enterococci are common bacteria that may be found almost anywhere. For their opportunistic pathogenicity, Enterococci have been associated with numerous nosocomial infections resulting from resistance to antibiotics and the existence of other virulence factors, notably the development of vancomycin-resistant Enterococci. However, some Enterococcal strains such as E. faecium and E. faecalis strains are being utilized as probiotics and are widely marketed, usually in the form of pharmaceutical solutions. Enterococcus spp. based probiotics are used to treat irritable bowel syndrome, infectious diarrhea, and antibiotic-associated diarrhea, along with decreasing cholesterol levels and enhancing host immunity. To be used as probiotics in the future, Enterococcal strains must be properly defined and thoroughly evaluated in terms of safety and can be beneficial. Here, in this work, we have reviewed various aspects of Enterococcus spp. pertaining to its possibility of being utilized as a probiotic strain. 2023 Krishna, et al. -
Investigating Factors in Quality of Work-life in Indian Garment Industry at Bangalore
The Indian manufacturing sector has a long way to go in enhancing work-life standards for employees. Low standards of work-life hamper the productivity of an organization. Most employees of garment manufacturing units in Bengaluru are from outer rural areas. They come in search of employment in garment units. Though there are labour acts and labour laws, most of the manufacturing units provide poor job environments for employees. This leads to fluctuations in the performance of employees and would have detrimental effects on their health and performance, resulting in attrition. Quality of work life is the solution. This paper aims at unravelling factors leading to recognition of work-life standards so those garment units can work in that dimension to solve their productivity issues and also improve the happiness of their employees. A descriptive approach was made to attain objectives with survey-based data collection. The collected data were subjected to exploratory factor analysis and multiple regression analysis. The study found welfare and safety lead to a quality of work-life in garment units. More cross-sectoral studies are suggested to understand the blend of factors defining the quality of work life and arrive at a generalized model nation-wide. This generalization in the long term should be a key decision-making point for safety and welfare policy development in the world. 2022 The authors. -
A Study on Sense of Community: Case Example of Public Housing Project, Bengaluru, India
Background: In the realm of collective public housing, certain societal segments currently favor low-rise residential blocks due to their affordability and lower number of dwelling units per block, thus affording increased privacy for residents. However, the concept of associating residents benefits with social relationships has yet to garner sufficient attention. Objective: This article seeks to understand and examine the impact of public housing on the sense of community (SOC) within a public housing community. Methods: The study was conducted at the Bangalore Development Author-ity Jnanabharathi Residential Enclave in Kengeri, Bengaluru, Karnataka. This understanding was attained through a comprehensive review of existing literature and an on-site evaluation carried out using questionnaire surveys and photographs for visual interpretations. Findings: The results indicated a relatively deficient sense of ownership within the community. Homeowners exhibited higher levels of community involvement and engagement in various activities compared with tenants. Conclusions: Furthermore, the study recommends that public authorities reevalu-ate their perspectives on public housing developments and develop a policy-orien-ted approach for planning, design, and additional amenities to foster a stronger SOC belonging. 2023 Springer Publishing Company. -
Intensified geopolitical conflicts and herding behavior: An evidence from selected Nifty sectoral indices during India-China tensions in 2020
The recent India-China geopolitical conflicts have presented enormous uncertainty to the investors in various sectoral indices of the Indian stock market. This empirical study aims to examine the impact of intensified India-China geopolitical conflicts 2020 on investors' herding behavior in the National Stock Exchange sectoral indices. The high-frequency data of three major NIFTY sectoral indices (Auto, Energy, and Pharma) are used in an intensified geopolitical event window to spot precisely the traces of the investors' herding behavior. Furthermore, multifractal detrended fluctuation analysis (MFDFA) is employed to obtain Hurst Exponent values (h(q)) for the NIFTY sectoral indices. The findings reveal that these NIFTY sectoral indices exhibited profound traces of herding behavior on the event day (t = 0) due to the heightened India-China geopolitical clashes. In addition, these indices depicted an overall higher level herding behavior with the (h(q)) values close to 0.72 throughout the intensified geopolitical event window. The study concludes that the sectors highly reliant on the Chinese supplies and with significant trade linkages with China depicted a higher level of herding behavior in their indices. Further, the presence of herding behavior in these sectoral indices is due to the operational and supply-chain risks posed by the geopolitical event. 2022 LLC CPC Business Perspectives. All rights reserved. -
The Political Uncertainties of the United Kingdom-2022 and Stock Market Reactions: An Event Study Analysis for LSE and Other Major European Stock Markets
The year 2022 has been one of the extremely uproarious in contemporary British politics, caused by severe political crises and uncertainties. The study aims to examine three major events related to the UK political uncertainties in 2022 and its impact on the UK and other major European stock markets using the market model of the event study methodology. The daily closing price data of the FTSE 100 index, its constituent stocks and the benchmark indices of 14 other major European stock markets were considered as per the event window constructed in the study. The empirical results of the study exhibited that the resignation announcement of Boris Johnson and Lizz Truss had positive abnormal returns on the day of the announcement. Subsequently, the announcement of Rishi Sunak as the PM of the UK had a stronger abnormal return on the announcement day. Further, the sector-wise impact analysis confirmed that Financials, materials, Energy, industrial, and real estate sectoral stocks have reacted with positive abnormal returns. Also, when verifying the impact on other major indices in European markets, it is noticed that only for the resignation announcement of Boris Johnson were there positive abnormal returns in benchmark indices of Italy, Netherlands, and Norway. The study confirms that political uncertainties like the prime minister's resignation bring short-run market inefficiency and provide opportunities for abnormal returns. The findings of the study offer some significant implications for the market participants such as traders, investors, portfolio managers and analysts. The findings will provide insights for them to devise trading strategies and risk management and to make investing decisions such that the portfolio of the investors is resilient to such uncertain political events. The Author(s) 2024. -
Simple and Efficient Amberlite 15-catalyzed Synthesis of Dihydroquinazolinones
Abstract: The Amberlite 15 catalyzed synthesis of substituted 2,3-dihydroquinazolin-4(1H)-ones was reported. The reaction conditions were optimized by screening in different solvents and catalysts. The substrate scope of the reaction was also studied, and a plausible mechanism for the reaction was proposed. 2020, Pleiades Publishing, Ltd. -
Scalar multiplication based matrix public key cryptography
In this work, a matrix key is used as Global Parameter. The work is considered for a large prime number which constitutes the field. A random integer is considered as private key and the Global matrix is exponentiated by the private key to generate public key. The process supports for Security features like authentication and confidentiality which are the necessary services for encryption process. Since the process supports Discrete Lagorithm problem, which is a hard problem it supports sufficient security against crypto analysis. In this work, instead of doing direct exponentiation of matrix key to the power of integer (Private Key), the study focuses on different scalar multiplication techniques that can be performed on matrix key during its exponentiation process to reduce the amount of computing resources for the completion of the process. 2020, Institute of Advanced Scientific Research, Inc.. All rights reserved. -
Subliminal Cueing in Visual Attention: Top-down and Bottom-up Processing
Exogenous subliminal cues have been shown to have both top-down and bottom-up effects. There are many research studies have confirmed that the effect of top-down variables dependent on cue characteristics. In response, other studies have attempted to exhibit purely stimulus-driven attention capture. The superiority of attention capture effects and the level of superiority in top-down cues have not been evidenced previously. The present study attempted to observe differential effects of cues with different levels of task relevancy, in both valid and invalid cues. As an addendum, conditions with valid cues and incorrect feature match allowed for the exploration of same-location costs in subliminal cues. The results indicated attentional capture effects of all valid cues irrespective of the level of task relevance in subliminal conditions. The cues with the highest task relevancy led to the most attention capture. There were no inhibitory effects of invalid cues on attention capture in subliminal cues. The study reiterates the possibility of attentional mechanisms in same-location costs implicating processing outside of memory. Further, facilitation and inhibition of attention capture in subliminal cues may have two independent mechanisms. The inhibitory mechanism may be contingent to conscious awareness of cues. The result of the study shows how attention can be exogenously oriented without conscious awareness and what kinds of cues might be most effective. These findings can be useful in educational and training settings and other settings where sustained attention is crucial. 2024, Iquz Galaxy Publisher. All rights reserved. -
A study on the weak form efficiency of metals & mining sector in bse
This study has been conducted to observe whether the weak form of efficiency holds true when the Metals & Mining sector is examined for the same. Data is collected for a 5 year period which ranges from 1st April 2014 to 31st March 2019. A total of 1232 observations have been taken from the three selected companies of the Metals & Mining sector of the BSE, namely, Coal India Ltd, Hindustan Zinc Ltd and JSW Steel Ltd. Jarque-Bera test is used to check whether the data is normally distributed or not. Augmented Dickey Fuller test has been used to establish whether the data series possesses stationarity or not. Finally Runs test and Autocorrelation tests are used to check whether the Metals & Mining sector of BSE is weak form efficient or not through the three representative companies. Upon analyzing the data through Runs Test, except for JSW Steel Ltd, the other two companies are identified to contain randomness in their data series. Autocorrelation test also suggests that the future stock prices can be predicted only to a minimal extent for the three representative companies. Based on the derived results, it is concluded that the Metals & Mining sector of BSE does not contain any statistical dependencies between its past and future stock prices and it is found to be weak form efficient. 2021, Badebio Biotechnololgy Ltd. All rights reserved. -
Novel task assignment policies using enhanced hyper-heuristic approach in cloud
Cloud computing plays a vital role in all fields of todays business. The processor sharing server farm is one of the most used server farms in the cloud environment. The key challenge for the mentioned server farms is to provide an optimal scheduling policy to process the computational jobs in the cloud. Many scheduling policies were introduced and deployed by the existing approaches to build an optimal cloud environment. The existing approaches of the heuristic algorithms such as meta-heuristic and hyper-heuristic approaches were the most frequently used scheduling algorithms for the past years. These approaches work well only in the limited types of tasks and resources in a processor sharing server farms in the cloud environment. In the proposed system, novel task assignment policies have been proposed by enhancing the hyper-heuristic approach for the type low task and high resource in the cloud environment. The results of the proposed approach are compared with the existing approaches and the performance evaluation of the proposed approach is also done. As a result, the proposed enhanced hyper-heuristic approach performs well for processor sharing server farms in the cloud environment. Copyright 2023 Inderscience Enterprises Ltd. -
Ebcqi: Enhanced bcqi downlink scheduling algorithm for voip in mobile networks
Long Term Evolution (LTE) is a currently growing technology. It gives high speed data with several useful applications. Voice over Internet Protocol (VoIP) is one of the top most applications in that LTE. Scheduling is the main issue in LTE. This paper proposing an updating version of Best Channel Quality Indicator (BCQI) downlink scheduling algorithm. The proposed algorithm assigns the highest priority to VoIP users followed by video traffic and then other remaining traffics in next priority order. The simulation reports give the better results of increased average throughput in all users, as well as the spectral efficiency development is also increased. Here, in the proposed algorithm, the percentage of packet loss is also consistent with the existing BCQI algorithm. And, it totally emits positive results in both rural and urban area environments with different mobility. Number of user access is also high when compared with BCQI algorithm. IJSTR 2019. -
Understanding document semantics from summaries: A case study on Hindi texts
Summary of a document contains words that actually contribute to the semantics of the document. Latent Semantic Analysis (LSA) is a mathematical model that is used to understand document semantics by deriving a semantic structure based on patterns of word correlations in the document. When using LSA to capture semantics from summaries, it is observed that LSA performs quite well despite being completely independent of any external sources of semantics. However, LSA can be remodeled to enhance its capability to analyze correlations within texts. By taking advantage of the model being language independent, this article presents two stages of LSA remodeling to understand document semantics in the Indian context, specifically from Hindi text summaries. One stage of remodeling is done by providing supplementary information, such as document category and domain information. The second stage of remodeling is done by using a supervised term weighting measure in the process. The remodeled LSA's performance is empirically evaluated in a document classification application by comparing the accuracies of classification to plain LSA. An improvement in the performance of LSA in the range of 4.7% to 6.2% is achieved from the remodel when compared to the plain model. The results suggest that summaries of documents efficiently capture the semantic structure of documents and is an alternative to full-length documents for understanding document semantics. 2016 ACM. -
Including category information as supplements in latent semantic analysis of Hindi documents
Latent semantic analysis (LSA) is a mathematical model that is used to capture the semantic structure of documents by using the correlations between the textual elements in them. LSA captures the semantic structure very well being independent of external sources of semantics. However, the model's performance increases when it is supplemented with extra information. The work presented in this paper is to modify the model to analyse word correlations in documents by considering the document category information as supplements in the process. This enhancement is called supplemented latent semantic analysis (SLSA). SLSA's performance is empirically evaluated in a document classification application by comparing the accuracies of classification against plain LSA for various term weighting schemes. An increment of 1.14%, 1.30% and 1.63% is observed in the classification accuracies when SLSA is compared with plain LSA for tf, idf and tfidf respectively in the initial term-bydocument matrix. Copyright 2017 Inderscience Enterprises Ltd. -
Understanding document semantics from summaries: A case study on Hindi texts /
ACM Transactions on Asian Low-Resource Language Information Processing, Vol.16, Issue 1, pp.1-20, ISSN: 2375-4699. -
Self-Discrepancy as a Moderator Between Romantic Attachment and Body Image Satisfaction
Body image satisfaction is about appreciating our body the way it is. One's romantic attachment style with their partner may impact their body image which this study wants to assess. The present study looks at romantic attachment and its effect on body image satisfaction, with self-discrepancy playing the moderator's role. Romantic attachment was measured through avoidance and anxiety dimensions along with trust, commitment, intimacy, physical proximity, support, and partner's suggestions on dressing and looks. Individuals in the age group of 18-25 in a romantic relationship (N=170) were sent an online questionnaire. The questionnaire included scales on body image satisfaction, self-discrepancy and romantic attachment. Correlations results revealed that attachment styles and specifiers of romantic relationships correlate highly with body satisfaction. Regression results indicated a high impact with attachment-related emerging as the single most impactful predictor for the model. The findings from the study can be used by individual and couple therapists dealing with romantic and body image concerns. In a period where romantic relationships are becoming very important in young adults' lives, this study probes into the possibility of romantic relationships affecting body image issues. Studies in the past have given more importance to body image dissatisfaction and parental attachment but this study looks at body satisfaction along with romantic attachment. In a collectivistic Indian culture where the concept of dating is gradually gaining popularity, the findings of this study are unique. 2021 RESTORATIVE JUSTICE FOR ALL.