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Brand Value: Nexus with Profitability and Value Relevance Indian Evidence
The paper studied the association between brand value and financial profitability metrics, value relevance, and excess market returns. The study used the dollar value data of BrandZ Top Indian Brands as the proxy for brand value and used 221 firm years for a sample of 72 companies that owned the top brands for 5 years, from 2014 2018. The study deployed the fixed effects model to find the association between profitability, firm value, and brand value and the Fama French four-factor model for the risk-return performance of high-brand value stocks. The findings indicated a strong association between the brand values of firms and profitability and firm value. The portfolio returns of high-brand value companies produced higher risk-adjusted returns over market returns offered by BSE 100 stocks. This is Indias first and most comprehensive study to provide empirical evidence on the nexus between brand value, profitability, and value relevance. The results gave a concrete conclusion that building brand value offers both customer satisfaction as well as shareholder value creation. 2022, Associated Management Consultants Pvt. Ltd.. All rights reserved. -
Breaking News Recognition Using OCR
Identifying and recognition of breaking news in most of the TV channels in different backgrounds with varying positions from a static image plays a significant role in journalism and multimedia image processing. Now a days its very challenging to isolate only breaking news from headlines due to overlapping of many categories of news, keeping all this in mind, a novel methodology is proposed in this paper for detecting specific text as a breaking news from a given multimedia image. Basic digital image processing techniques are used to detect text from the images. The methods like MSER (Maximally Stable Extremal Regions) and SWT (Stroke Width Transform) are used for text detection. The proposed work focuses on extraction of text in breaking news images also discusses the different methods to overcome existing challenges in text detection along with different types of breaking news datasets collected from various news channels are used to identify text from images and comparative study of different text detection methods. The comparative study proves that MSER and SWT is a better technique to detect text in images. Finally using OCR (Optical Character Recognition) technique to extract the breaking news text from the detected regions will help in easy indexing and analysis for journalism and common people. Extensive experiments are carried out to demonstrate the effectiveness of the proposed approach. 2019, Springer Nature Singapore Pte Ltd. -
Breaking the Taboo: Addressing Menstrual Health Challenges in India
Although, menstrual hygiene is a topic as ancient as mankind, it has recently garnered attention because society is more willing to face its difficulties. Adolescents seldom talk about issues related to menstruation, menstruation disorders, menstrual cleanliness, and customs of their culture. There is little data on the hardships that teenage females bear from menstruation and their social norms. Adolescent health education must include information about menstruation. Menstrual behaviors are often greatly influenced by culture, awareness, and social condition. However, periods, behaviors, and problems are seldom included in health education programs for the younger girls in impoverished nations. International health organizations such as WHO and UNICEF have advised developing culturally responsive menstrual health management (MHM) as well as water, sanitation and hygiene (WASH) programs for the adolescent girls. Without an awareness of the preconceived notions and prejudices that teenage girls in poor nations currently have about menstruation, these programs cannot be implemented. The goal of this review from India was to record the myths that are currently in circulation concerning menstruation, menarche, and other understudied menstrual constraints. Our goal in conducting this review was to characterize and assess the effectiveness of menstruation education programs designed to provide early teenage girls the information and abilities they need to support menstrual health. RJPT All right reserved. -
Breast Cancer Detection in Mammography Images Using Deep Convolutional Neural Networks and Fuzzy Ensemble Modeling Techniques
Breast cancer has evolved as the most lethal illness impacting women all over the globe. Breast cancer may be detected early, which reduces mortality and increases the chances of a full recovery. Researchers all around the world are working on breast cancer screening tools based on medical imaging. Deep learning approaches have piqued the attention of many in the medical imaging field due to their rapid growth. In this research, mammography pictures were utilized to detect breast cancer. We have used four mammography imaging datasets with a similar number of 1145 normal, benign, and malignant pictures using various deep CNN (Inception V4, ResNet-164, VGG-11, and DenseNet121) models as base classifiers. The proposed technique employs an ensemble approach in which the Gompertz function is used to build fuzzy rankings of the base classification techniques, and the decision scores of the base models are adaptively combined to construct final predictions. The proposed fuzzy ensemble techniques outperform each individual transfer learning methodology as well as multiple advanced ensemble strategies (Weighted Average, Sugeno Integral) with reference to prediction and accuracy. The suggested Inception V4 ensemble model with fuzzy rank based Gompertz function has a 99.32% accuracy rate. We believe that the suggested approach will be of tremendous value to healthcare practitioners in identifying breast cancer patients early on, perhaps leading to an immediate diagnosis. 2022 by the authors. -
Breast cancer detection: A comparative review on passive and active thermography
Breast cancer is the main cause of death among women due to cancer. Early detection is crucial in controlling the disease. Thermography is a non-invasive imaging method that uses temperature differences on the breast surface to identify tumors. This paper focuses on the various aspects of thermography as a diagnostic tool for detecting breast cancer. It includes a review of the currently existing active thermography approaches used to energize the tumor cell to enhance the thermal contrast on the surface. The comparison of passive and active thermography showed that active thermography was more effective, increasing depth-dependent performance from 3 mm to 9 mm for 1.5 mm sized tumors and accuracy from 54% to 82% without a rise in false positive rates. The contrast between malignant and benign tissue also improved from 0.6 C to 0.9 C, indicating that active thermography increases the performance of passive thermography in various aspects. A comparative study of active thermography reveals that healthy tissues are likely to be damaged if the input parameters are not regulated properly. A comprehensive comparison of various tumor estimation algorithms in the paper concludes that the dynamic analysis using an active approach outperforms static analysis due to a significant decrease in error percentage. 2023 Elsevier B.V. -
Breast Cancer Survival Prediction using Gene Expression Data
Breast cancer is one of the most common forms of cancer in the world.[1]. Breast, skin, colon, pancreatic, and other 100 types of cancer have founded globally. An accurate breast cancer prognosis can save many patients from having unnecessary treatment and the huge medical costs that come with it. Multiple gene mutations can possibly transform a normal cell into a cancerous one. Genomic variations and traits have a significant effect on cancer. Genetic abnormalities caused by various circumstances drive numerous efforts to find biomarkers of breast cancer advancement. Early Detection of Cancer types is the only way to recover the patients from this acute disease. In this paper, a proposed Deep learning algorithm and Machine learning algorithms are used to predict the survival of cancer patients using clinical data and gene expression data. The Molecular Taxonomy of Breast Cancer International Consortium (METABRIC) dataset is split into clinical and gene data for detailed preprocessing. This proposed method gives a better understanding of the condition and assesses how effective treatment methods are by using Deep Learning and Machine Learning models on gene data. Logistic Regression is the most accurate method identified. Grenze Scientific Society, 2022. -
Breeding distrust during artificial intelligence (AI) era: howtechnological advancements, jobinsecurity and job stress fuel organizational cynicism?
Purpose: This study examines how technological advancements and psychological capital contribute to job stress. Furthermore, the paper examines how job insecurity, job stress and job involvement influence the cynicism of recently laid-off employees. Despite various research studies, there is a lack of understanding of employees views on their work future and its probable influence on their job behaviors in this era of technology. Design/methodology/approach: A quantitative method was used to collect a sample of 403 recently laid-off employees. The research tool of this study was a questionnaire, and the sampling technique was stratified random sampling. IBM SPSS and AMOS software were utilized to ensure the trustworthiness and accuracy of constructs via factor analysis. The proposed hypotheses were tested using structural equation modeling. Findings: The analysis showed that technological advancements, specifically in job-related stress, job involvement and job insecurity, significantly affect organizational cynicism. Job involvement is negatively associated with employees cynicism. Practical implications: The current study adds to the comprehension of shifts in the perceived behavior of employees toward their organizations due to factors like the adoption of new technology in the organization, job stress, job insecurity and job involvement. Accordingly, there will be a need to form a favorable working atmosphere so that employees can perform their jobs with positive psychology and without any insecurity or stress. Originality/value: The study is thought to contribute to the literature in terms of measuring organizational cynicism while layoffs continue due to AI advancements. 2024, Emerald Publishing Limited. -
Breeding Potential of Crosses Derived from Parents Differing in Overall GCA Status for Productivity per se Traits and Powdery Mildew Disease Response in Blackgram [Vigna mungo (L.) Hepper]
Background: Predicting the breeding potential of crosses in terms traits means, genetic variability and frequency of desirable transgressive segregants in early segregating generations is crucial in breeding programme. Therefore, an experiment was carried out to assess breeding potential of crosses involved parents with varying overall GCA status and contrasting responses to powdery mildew disease (PMD) in blackgram. Methods: Total of 40 F1 s developed by following Line Tester design; among, nine crosses were selected based on gca status of parents and responses to PMD. F1, F2 and F3 along with parents of six and three crosses were evaluated for 10 productivity per se traits and responses to PMD separately during kharif, 2016 and rabi, 2016-17 respectively. The traits means, absolute and standardized range, PCV and frequency of transgressive segregants in F2 and F3 were compared to assess the breeding potential of the crosses. Result: F2 and F3 generations derived from six crosses (for productivity traits) and three crosses (for PDI) were differed for means, absolute and standardized range, PCV and the frequency of transgressive segregants. This is may be due to the contribution of diverse genes from female and male parent. Though considerable number of transgressive segregants were also identified in F2 and F3 of all the crosses, high frequency of desirable transgressive segregants was observed in crosses involved parents with overall high GCA status. 2024, Agricultural Research Communication Centre. All rights reserved. -
BRICS: Advancing Cooperation and Strengthening Regionalism
In the era of regional international relations and more interdependence, organisations like the Brazil, Russia, India, China and South Africa (BRICS) can play a meaningful role in international level as well as regional in years to come. The recent summit of the BRICS reiterates that more cooperation is needed at various levels. In Delhi declaration, it is called for a more representative international financial architecture, with an increase in the voice and representation of developing countries and the establishment and improvement of a just international monetary system that can serve the interests of all countries and support the development of emerging and developing economies. Moreover, these economies having experienced broad-based growth are now significant contributors to global recovery. This is true. One must acknowledge the fact that the roles of the BRICS countries are composed of various political systems, various subcontinent, but in the changed context, all these countries are coming under the purview of the developing countries in broader terms. That makes the BRICS beyond the regional boundaries to set a benchmark in the regional cooperation. Chinas permanent status in the United Nations makes the BRICS more strategically oriented and pragmatic aspects of foreign policy engagement in the twenty-first century. The political leadership and vision is equally important with economic engagement. The four major theories of the international relations (IR) are striking in this respect which includes liberalism, realism, constructivism and Marxism. Theoretical framework relevant to regionalism in focusing on IR theories is also analysed in this article. The main argument of the article is that there is no prescribed regional model and BRICS has to tune to the member countries regional and political frameworks to engage with. Therefore, the framework of analysis is more or less critical about the Western engagement and it is region focused. 2012 Indian Council of World Affairs. -
Bridging Digital Divide in India: Positive Outlook Amid COVID-19
The digital divide is described as the gap in access to, knowledge of, use of, or ability to comprehend information and communication technology (ICT) between different societal groups. The digital divide can often give way to an upsurge in social inequalities. This study intended to comprehend the extent of the rural-urban digital divide in India regarding access to the internet and to analyze the increase or decrease in the same due to the global coronavirus pandemic. The analysis of the paper was primarily based on secondary data collected from the report on The Indian Telecom Services Performance Indicators issued by the Telecom Regulatory Authority of India for June 2019 and June 2020. Percentage analysis was employed to comprehend the trend of the digital divide in terms of access for the years 2019 and 2020. The results disclosed that there was an increase in internet access in the rural population during the time frame of COVID-19, and this increase has led to a decrease in the digital divide in terms of access to the internet. Moreover, the study revealed that COVID-19, to some extent, has resulted in bridging the rural-urban digital divide in India in terms of access. The study further highlighted the importance of digital literacy and access to ICT, and suggested ways to improve digital literacy in India. 2022, Associated Management Consultants Pvt. Ltd.. All rights reserved. -
Bridging Service Quality Gaps
Indian Streams Research Journal, Vol-2 (10), pp. 38-42. ISSN-2230-7850 -
Bridging the Digital Chasm: A Comprehensive Analysis of the Digital Divide in Shaping Healthcare Professionals
Industry 5.0 has ushered in a transformative era for the healthcare industry, propelling it towards a digitally empowered ecosystem. This paradigm shift underscores the indispensability of integrating advanced digital technologies into healthcare, not merely as an option but as a crucial necessity. This research delves into the profound impact of Industry 5.0 on healthcare, emphasizing the intersection of digital technologies, patient-centric care, and sustainable practices. Central to the investigation is the digital divide, which manifests as a catalytic intrusion into the healthcare sector's digital landscape. Regardless of demographic considerations among healthcare providers, the existing digital divide manifests in varying levels of access, skill, and offline outcomes and benefits. Our study meticulously explores the intricate dynamics of the digital divide within healthcare professionals, highlighting its influence on micro-level patient experience. The Author(s), under exclusive license to Springer Nature Switzerland AG 2025. -
Brinkman-Bard convection in a box with temperature modulation
A bounded porous box saturated with Newtonian fluid and subjected to a sinusoidal temperature gradient has various practical applications, such as solar energy storage, groundwater remediation, food processing, and chemical reactors. We address the generalization of the classical Rayleigh-Bard convection problem in a horizontal fluid layer in an infinitely large domain heated from below to a finite three-dimensional box. We also look into a more intricate form of the modulated Rayleigh-Bard problem in which the temperature at the bottom boundary varies sinusoidally. The Rayleigh number quantifies the non-sinusoidal part of the temperature gradient, while the amplitude and frequency of modulation describe the sinusoidal one. The critical Rayleigh number is determined using linear and nonlinear stability analyses; for the latter, the energy method is used. There is a possibility of subcritical instabilities, as evidenced by the energy stability estimates being lower than the linear ones. Furthermore, eigenvalues are obtained as a function of aspect ratios, modulation amplitude, and frequency for varying Darcy numbers. Modulation amplitude more significantly triggers a change in flow patterns at the onset of convection compared to the effect of other parameters. Considering water-saturated porous media made up of different materials, we report the critical temperature difference between lower and upper surfaces required for the onset of convection. In addition, a comparison between such a temperature difference obtained from linear theory and the energy method is also provided in the same manner. It is observed that subharmonic instability occurs for all considered porous media packed densely or sparsely. 2024 Author(s). -
Brinkman-Bard convection in a rotating-binary liquid saturated porous medium
The primary intent of the work is to investigate the linear and weakly non-linear stability analyses of natural convection in a rotating binary liquidsaturated porous medium. In the mathematical model, Newtonian binary liquid-saturated porous medium with uniform rotation subjected to stress-free isothermal boundaries and the validity of OseenBoussinesq approximation is considered in the study. Normal mode analysis is operated to acquire the DarcyRayleigh number expression in terms of the other parameters. The amount of heat and mass transfer rates are approximated at the lower boundary by performing weakly non-linear stability analysis using truncated Fourier series solution. The analysis of critical Rayleigh number, critical wave number, heat, and mass transfer is done for different values of parameters and discussed in detail with the help of plots and tables. Lewis number stabilizes the convective system, whereas increasing in the separation ratio coefficient destabilizes the convective system. Weakly nonlinear stability analysis reveals that the binary liquids with a smaller separation ratio coefficient transport the maximum heat and minimum mass compared to binary liquids with large separation ratio coefficient values. The amount of heat transport is enhanced by 14% with increase in the values of Ta whereas the same is diminished by 3.5 % and 5% respectively for the ? and Le. Thus, the effect of rotations pronounced on the onset of convection, heat and mass transports predominantly compared to the effect of binary mixtures parameters. The results of the classical RayleighBard convection and natural convection in a liquid-saturated porous medium with local thermal-equilibrium assumption can be obtained as a particular case of the study by setting the appropriate limits. 2025 Elsevier Ltd -
Brinkman-Forchheimer flow of SWCNT and MWCNT magneto-nanoliquids in a microchannel with multiple slips and Joule heating aspects
Purpose: The microfluidics has a wide range of applications, such as micro heat exchanger, micropumps, micromixers, cooling systems for microelectronic devices, fuel cells and microturbines. However, the enhancement of thermal energy is one of the challenges in these applications. Therefore, the purpose of this paper is to enhance heat transfer in a microchannel flow by utilizing carbon nanotubes (CNTs). MHD Brinkman-Forchheimer flow in a planar microchannel with multiple slips is considered. Aspects of viscous and Joule heating are also deployed. The consequences are presented in two different carbon nanofluids. Design/methodology/approach: The governing equations are modeled with the help of conservation equations of flow and energy under the steady-state situation. The governing equations are non-dimensionalized through dimensionless variables. The dimensionless expressions are treated via Runge-Kutta-Fehlberg-based shooting scheme. Pertinent results of velocity, skin friction coefficient, temperature and Nusselt number for assorted values of physical parameters are comprehensively discussed. Also, a closed-form solution is obtained for momentum equation for a particular case. Numerical results agree perfectly with the analytical results. Findings: It is established that multiple slip effect is favorable for velocity and temperature fields. The velocity field of multi-walled carbon nanotubes (MWCNTs) nanofluid is lower than single-walled carbon nanotubes (SWCNTs)-nanofluid, while thermal field, Nusselt number and drag force are higher in the case of MWCNT-nanofluid than SWCNT-nanofluid. The impact of nanotubes (SWCNTs and MWCNTs) is constructive for thermal boundary layer growth. Practical implications: This study may provide useful information to improve the thermal management of microelectromechanical systems. Originality/value: The effects of CNTs in microchannel flow by utilizing viscous dissipation and Joule heating are first time investigated. The results for SWCNTs and MWCNTs have been compared. 2018, Emerald Publishing Limited. -
Brinkman-Forchheimer slip flow subject to exponential space and thermal-dependent heat source in a microchannel utilizing SWCNT and MWCNT nanoliquids
This communication examines the impact of carbon nanotubes (single-wall carbon nanotubes [SWCNT] and multi-wall carbon nanotubes [MWCNT]) on magnetohydrodynamic Brinkman and Forchheimer flow in a planar microchannel with multiple slips. Flow through a porous medium is modeled via Brinkman and Forchheimer theory. The impacts of thermal-dependent heat source (THS) and exponential space-dependent heat source (ESHS) are deployed. Aspects of Joule and viscous dissipations are also retained. The dimensionless equations are solved using the Runge-Kutta-Fehlberg joint with shooting methodology. The significance of various nondimensional parameters on the flow distributions as well as skin-friction and Nusselt number is illustrated and analyzed. Closed form solution of momentum quantity is developed for a particular case. Obtained numerical results are in perfect agreement with analytical results. Further, the results of SWCNT and MWCNT are compared. 2019 Wiley Periodicals, Inc. -
BrinkmanBard Convection with Rough Boundaries and Third-Type Thermal Boundary Conditions
The BrinkmanBard convection problem is chosen for investigation, along with very general boundary conditions. Using the Maclaurin series, in this paper, we show that it is possible to perform a relatively exact linear stability analysis, as well as a weakly nonlinear stability analysis, as normally performed in the case of a classical free isothermal/free isothermal boundary combination. Starting from a classical linear stability analysis, we ultimately study the chaos in such systems, all conducted with great accuracy. The principle of exchange of stabilities is proven, and the critical Rayleigh number, (Formula presented.), and the wave number, (Formula presented.), are obtained in closed form. An asymptotic analysis is performed, to obtain (Formula presented.) for the case of adiabatic boundaries, for which (Formula presented.). A seemingly minimal representation yields a generalized Lorenz model for the general boundary condition used. The symmetry in the three Lorenz equations, their dissipative nature, energy-conserving nature, and bounded solution are observed for the considered general boundary condition. Thus, one may infer that, to obtain the results of various related problems, they can be handled in an integrated manner, and results can be obtained with great accuracy. The effect of increasing the values of the Biot numbers and/or slip Darcy numbers is to increase, not only the value of the critical Rayleigh number, but also the critical wave number. Extreme values of zero and infinity, when assigned to the Biot number, yield the results of an adiabatic and an isothermal boundary, respectively. Likewise, these extreme values assigned to the slip Darcy number yield the effects of free and rigid boundary conditions, respectively. Intermediate values of the Biot and slip Darcy numbers bridge the gap between the extreme cases. The effects of the Biot and slip Darcy numbers on the HopfRayleigh number are, however, opposite to each other. In view of the known analogy between Bard convection and TaylorCouette flow in the linear regime, it is imperative that the results of the latter problem, viz., BrinkmanTaylorCouette flow, become as well known. 2023 by the authors. -
Broad-band mHz QPOs and spectral study of LMC X-4 with AstroSat
We report the results of broad-band timing and spectral analysis of data from an AstroSat observation of the high-mass X-ray binary LMC X-4. The Large Area X-ray Proportional Counter (LAXPC) and Soft X-ray Telescope (SXT) instruments onboard the AstroSat observed the source in 2016 August. A complete X-ray eclipse was detected with the LAXPC. The 340 keV power density spectrum showed the presence of coherent pulsations along with a ?26 mHz quasi-periodic oscillation feature. The spectral properties of LMC X-4 were derived from a joint analysis of the SXT and LAXPC spectral data. The 0.525 keV persistent spectrum comprised of an absorbed high-energy cut-off power law with photon index of ? ? 0.8 and cut-off at ?16 keV, a soft thermal component with kTBB ? 0.14 keV, and Gaussian components corresponding to Fe K?, Ne IX, and Ne X emission lines. Assuming a source distance of 50 kpc, we determined 0.525 keV luminosity to be ?2 1038 erg s?1 2022 The Author(s) Published by Oxford University Press on behalf of Royal Astronomical Society. -
Broad-spectrum of sustainable living management using green building materials-an insights
Owing to the recurrent modifications in the lifestyle and demands of humans the regular life of buildings is decreasing whereas the demolition or renovation of the buildings increases. Building materials and their components ingest just about 40 percent of world-wide vigour per annum in their life segments such as fabrication and procurement of building materials, construction and demolition. The development of the construction industry completely relies on the deployable resources. To abate the consumption of construction materials in current years, the construction industry has established an environmental track, which wishes to use naturally available materials. Reviving such technology, further developing this technology green building materials are paramount for constructing green buildings. Such a green-building constructional model does not require energy contributions frequently for production. The advantage of reducing the energy used in manufacturing, increases strength. Green Building material is one which utilizes less water, optimizes energy efficiency, conserves natural resources, generates less waste, produces less carbon dioxide emissions and provides improved space for inhabitants as compared to conventional buildings. It includes environmental, economic, and social benefits as well. This paper aims to provide knowledge about some of the green building materials that help for sustainable living. These elucidations can obligate a significant influence in contemporary construction owed to the escalation in the charges of traditional construction materials. 2021 by the Authors. -
Broadband near infrared emission in Cr3+: Cs2AgBiCl6 double perovskite halides
Near Infra-red phosphors with broad emission band, high thermal stability and excellent efficiency are required in various bioimaging applications. In this study, we report the design and chemical reflux synthesis of a new family of Cr3+: Cs2AgBiCl6 double perovskites. In detail this article focuses on the impact of Cr3+ doping on the crystal structure, optical and vibrational properties of Cs2AgBiCl6 double perovskites. Different concentrations of Cr3+ doped Cs2AgBiCl6 double perovskites were analyzed using UVVisible, Raman, Photoluminescence (PL), PL excitation, time resolved PL, X-ray photoelectron spectroscopy. Morphological analyses were carried out using scanning and transmission electron microscopies. XRD spectra reveals that the cubic symmetry remains unaltered upon Cr3+ doping. Raman and Rietveld analysis show that the BiCl bond decreases upon Cr3+ incorporation. Optical absorption studies reveal a decrease in bandgap from 2.76 to 2.66 eV upon Cr3+ doping. PL spectroscopy of Cr 3+:Cs2AgBiCl6 exhibits a broad near infrared (NIR) emission band at 973 nm with an FWHM of 186 nm at 355 nm excitation. This demonstrates the promising prospects for NIR light emitting diode and bioimaging applications of Cr3+:Cs2AgBiCl6 double perovskites. 2023 Elsevier B.V.