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A Study on Factors Impeding Online Buying of Households in Bangalore City
Indian Journal of Marketing, Vol. 46, Issue 4, pp. 7-23, ISSN No. 0973-8703 -
Inquiry into reverse logistics and a decision model
A process in which a product is moving in reverse along the supply chain network is called as reverse logistics. The objective of reverse logistics is to recapture the value of the final product. Reverse logistics is gaining ground because of its importance in managing a closed loop supply chain. Companies across the world are showing concern about environmental degradation and are realising the need for sustainable development. Many countries have already passed legal regulations. Good reverse logistics process indicates lot of reuse, recycling and reducing the material consumed, thereby ensuring sustainability. Improving reverse logistics will result in increase in sales up by 10%, a reduction in the supply chain costs by 25% to 40%. In retail sector the profit margins are less and strengthening reverse logistics can increase the profit margins. This paper attempts to inquire into the reverse logistics area and come out with the prioritised variables impacting the different reverse logistics disposition decision. The paper attempts to propose a conceptual model for reverse logistics disposition decision. Copyright 2019 Inderscience Enterprises Ltd. -
A study on factors impeding online buying of household items in Bangalore city
The tremendous growth of the Internet in India has fuelled the growth of e-commerce in the country. The retail business has been affected like all other businesses. This research paper attempted to study the factors responsible for impeding the online buying of household items by customers. The study was limited to Bangalore city only. The study was conducted during June 2013 and December 2014. The data was collected through questionnaires which were distributed among 500 respondents. Among these, 25 questionnaires were partially filled, and were not included as final responses; 280 completely filled questionnaires were utilized for this study. The non online respondents' profile and descriptive statistics were analyzed. Factor analysis was carried out to find the important factors involved in the non online buying decisions of customers. Some recommendations have been made on the strategies which online retailers can adopt to convert non - online buyers to online buyers of household items by addressing some of their concerns. 2016. -
Determinants of consumer product return behavior with respect to online shopping of apparels
This research aims at finding the determinants of consumer product return newlinebehavior with respect to online shopping of apparel in Bangalore city. The study was administered to 600 respondents, and the response received was from 465 respondents. The convenience sampling method was used to collect samples across Bangalore city. Product return behavior was measured using a newlinefive-point Likert scale for 34 items. The literature review was conducted extensively, covering both Indian and international context. This research is designed to address the literature gaps. Many hypotheses were proposed in the thesis and were examined using structural equation modeling. The hypotheses were tested with the software newlineAMOS 25 and SPSS 25 to fulfill the research objectives. Confirmatory factor analysis was done on the data to confirm the instrument reliability and validity. Confirmatory factor analysis was used to verify the constructs developed from the detailed literature review. ANOVA post hoc test was done to check the relationship among the demographic variables. Descriptive statistics were used newlineto interpret the data. With the help of structural equation modeling, the causal newlinerelationship between the dependent variable and the independent variables were identified. The study on the determinants of product return behavior has provided a lot of newlineinsights. Customer attitude has a significant and negative impact on product return behavior. The customers with a positive attitude towards online apparel purchases will be less likely to return products. The previous customer experience and their consumption pattern have a significant and negative impact on product return behavior. The customers with a bad experience with newlinebuying online apparel products, tend to return their products more. The perceived risk of online apparel purchases has a significant and positive impact on product return behavior. The customers with a high perceived risk of online apparel purchases will be more likely to return their products. -
Forensic Investigation Approaches of DNA Analysis and Criminal Investigation
Deoxyribonucleic acid (DNA) has been a significant factor in the criminal justice system since it was first used in forensic investigations. The reference sample's DNA profile is typically compared to the DNA profile from the evidence sample from the crime scene criminal cases. Familial DNA analysis can identify a person and provide significant investigation leads even without a reference sample for comparison in a criminal investigation process. The potential source of a forensic biological sample is determined using several indirect database searching techniques. These DNA-based techniques include Mitochondrial DNA (mtDNA) analysis, investigative genetic genealogy (IGG), familial searching, and Y-STR database searching. This study examined these methods and compares them in terms of searching efficiency, database structures, searching methods, genotyping technologies, data security, data quality, and costs. It also raises several possible legal and privacy problems for scientists to consider further. The significance of familial DNA analysis, the procedures used for finding and identifying relatives using familial DNA, and its benefits in forensics are all covered in this paper. Additionally, future options for the appropriate application of this technology and social, legal, and ethical concerns related to familial DNA analysis have been considered. 2023 WITPress. All rights reserved. -
Secure Image Transmission Scheme based on DNA Sequences
Cryptography and steganography are the most widely utilized and adopted fields of secure data communication. Data transfer can be secured using a combination of these methods. The data is transmitted from sender to receiver using cryptography, the most secure method. At the same time, steganography performs the information hiding in the form of video, image, or text within a cover image. The sensitive data is hidden, so it is not visible to the human eye. The data is stored and transferred more securely by adding DNA technology to the cryptography. It provides additional data security level and is most commonly employed to implement computation. This research developed a new method for combining cryptography with steganography. There are two phases to the proposed method: image encryption and hide phases and image extraction phases. Encryption is done by using the Signcryption algorithm. Four standard images were utilized as test material for the evaluation. Four factors are used to determine the performance of the proposed method as Peak signal-to-noise ratio (PSNR), Mean Square Error, Entropy, and Structural Similarity Index Measure (SSIM) for hiding and extracting the messages. The implementation is done in python. The proposed method achieves better performance when compared to the previously published works. 2022 Seventh Sense Research Group -
A Study on DNA Profiling Techniques and Transnational Exchange of DNA Data from Databank
DNA technology has shown to be a valuable investigative tool in the release of innocent people and the identification of those responsible for serious crimes. In the battle against illegal immigration, cross-border crime, and terrorism, the transnational DNA data interchange from national DNA databanks has become a current trend. The data types that can be shared and the system is managed by a national authority are governed by individual national legislation, which determines the scope of the data exchange. Furthermore, one of the most difficult problems in forensic science is DNA profiling, and it is a hotly debated topic. The number of unknowns in a combination raises the computational difficulty of DNA profiling dramatically. To overcome this issue, various approaches have been designed and implemented. As a result, we examine DNA profiling methodologies and tools in this study, focusing on their computational accuracy and performance. Furthermore, this research examines the available data on DNA exchange and comparison across borders. We hope this review provides more ideas for future research to choose efficient profiling techniques. 2022 Lavoisier. All rights reserved. -
Transformations to and implications for the human rights concept in the internet age
The critical shifts in the utility, implementation, and enforcement of human rights have been achieved as a result of the rise of cutting-edge technological innovation. As a result, there has been a plethora of research on the expansion of beneficiaries of the human rights and the subject matter of such rights. The authors of this chapter contend that in this era of technology, we need to reevaluate our approach to human rights, broaden the scope of those to whom obligations relating to human rights apply by including corporations and other organizations, and be ready to consider the possibility that artificial intelligence will become a topic of discussion in public relations and fundamental rights. In this chapter, a three-pronged approach to thinking about digital rights is presented. This method takes into consideration the subtle structural impact that considering human rights in the digital age has on the job that the courts do. 2024 by IGI Global. All rights reserved. -
CalciumCobaltCurcumin Functionalized TiO? Nanoparticles for Enhanced Biological Activities Using a Multivariable Regression Approach
A multifunctional TiO?-based NPs, TiCaCoCur, was synthesized by coating TiO? nanoparticles with calcium, cobalt, and curcumin. XRD confirmed the retention of the anatase phase with crystallite sizes of 35nm for TiO? and 27nm for TiCaCoCur. FTIR verified curcumin incorporation via hydrogen bonding and metal coordination. UVVis spectra showed shifts in absorption peaks, indicating electronic interactions, while PL suggested the presence of surface defect states and improved electronhole separation. SEM and TEM revealed spherical nanoparticles (~ 2526nm) with SAED patterns consistent with XRD. DLS indicated a reduced hydrodynamic size (116 6nm) for TiCaCoCur compared to TiO? (152 8nm), and XPS confirmed the presence of Ti??, Ca?, Co?, and surface-bound curcumin.TiCaCoCur exhibited enhanced antimicrobial activity against Gram-positive and Gram-negative bacteria and C. albicans, and showed improved DPPH radical scavenging activity, approaching that of Vitamin C. MTT assays on MOLT-4 cells demonstrated dose-dependent cytotoxicity, with an IC?? value of 8.7g/mL for TiCaCoCur. In addition, a simple multivariable regression analysis was carried out to examine the relationship between key physicochemical parameters and biological activity. The results suggest that reduced particle size (DLS), smaller crystallite size (XRD), and changes in optical absorption behavior (UVVis) collectively contribute to the improved biological performance of the modified nanoparticles.Overall, the synergistic combination of TiO?, curcumin, and metal ions yields a NPs with enhanced structural, optical, and biological properties, making it a promising candidate for biomedical applications including antimicrobial, antioxidant, and anticancer uses. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2026. -
Multifunctional SrO?Sodium AlginateL-Arginine Nanocomposite: A Green Approach against Colon Cancer and Pathogenic Microbes
Pathogenic microbes pose a significant threat to human health due to their increasing resistance to standard antibiotics. Colon cancer is among the deadliest forms of cancer worldwide and often exhibits resistance to conventional treatments, highlighting the urgent need for alternative therapeutic agents. In this study, a SrO2SALA nanocomposite was synthesized via a green chemical approach using Bougainvillea glabra extract and evaluated for its anticancer, antioxidant, and antimicrobial potential. In this work, SrO2-SA-LA nanocomposite was prepared via a green chemical approach using Bougainvillea glabra extract and evaluated for its potential anticancer, antioxidant, and antimicrobial properties. The nanocomposite was successfully synthesized and functionalized, as confirmed by characterization studies. XRD revealed a crystalline phase of tetragonal SrO2. The calculated optical bandgap energies were 4.11eV for pristine SrO2 and 4.35eV for SrO2-SA-LA nanocomposite. DLS analysis indicated median particle sizes of 128.40nm and 142.70nm for SrO? and SrO2SALA, respectively. PL studies showed that the SrO2SALA nanocomposite exhibited green emission in the range of 494534nm, suggesting an increase in oxygen-related defect states compared to pure SrO2. Disc diffusion assay revealed that SrO2-SA-LA nanocomposite exhibited enhanced antimicrobial activity against common disease-causing pathogens, while MTT assay showed enhanced cytotoxicity against HCT-116 colon cancer cells. Additionally, the SrO2-SA-LA nanocomposite exhibited superior free radical scavenging in DPPH assays, indicating high antioxidant potential. Furthermore, cytocompatibility studies using L929 fibroblast cells confirmed that both SrO? and SrO?SALA nanocomposite are non-toxic to normal cells, with cell viability exceeding 80%, indicating their biosafety. The results suggest that SrO2-SA-LA nanocomposite is a promising candidate for applications in anticancer, antioxidant, and antimicrobial therapies with good biocompatibility. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2025. -
Significance of key distribution using quantum cryptography
The main challenge to the cryptosystems is providing secrecy in distributing key. This challenge is explained through key distribution problem. The key distribution in classical cryptosystems is based on classical information or bits. As bits can be replicable, there will be scope for an eavesdropper to make copies of information. The classical key distribution methods rely on computational assumptions which are not potential to offer anticipated results. Consequently, it is solved using laws of quantum mechanics, and the solution is Quantum Key Distribution (QKD). In QKD, the bits are encoded into quantum states or qubits using photon polarization. The qubits cannot be replicated as per the laws of quantum mechanics. An attempt to replication will introduce errors. Thus an eavesdropping will inevitably lead to detectable traces and then the legitimate entities will decide upon discarding a particular qubit. BB84 protocol is the first QKD protocol evolved in 1984. This paper notifies the significance of QKD over key distribution performed using classical methods. It is evidently shown that the time taken to distribute a secret key through BB84 QKD protocol is comparatively less than the classical methods of key distribution. 2018 ICIC International. -
Provably secure quantum key distribution By applying quantum gate
The need for Quantum Key Distribution (QKD) is strengthening due to its inalienable principles of quantum mechanics. QKD commences when sender transforms bits into qubits or quantum states by applying photon polarization and sends to the receiver. The qubits are altered when measured in incorrect polarization and cannot be reproduced according to quantum mechanics principles. BB84 protocol is the primary QKD protocol announced in 1984. This paper introduces a new regime of secure QKD using Hadamard quantum gate named as PVK16 QKD protocol. Applying quantum gate to QKD makes tangle to the eavesdroppers to measure the qubits. For a given length of key, it is shown that the error rate is negligible. Also, the authentication procedure using digital certificates prior to QKD is being performed which confers assurance that the communicating entities are legitimate users. It is used as a defensive mechanism on man in the middle attack. The Japan Society for Analytical Chemistry. -
AI-Driven Predictive Analytics for Sustainable Restaurant Operations and Waste Minimization
There is mounting pressure in the restaurant business to minimize the waste of their operations and use of resources, and still be able to make a profit. Unreasonable forecasting, over-procurement, and poor management of resources are the key causes of environmental and financial waste. As a potential solution to the issue, it presents an AI-based Predictive Analytics Framework (AID-PAF), which combines both a Temporal-Fusion Neural Architecture (TFNA), which is an asset demand prediction framework, and a waste-conscious linear programming model used to solve an inventory and resources allocation problem. Real restaurant operational datasets were used to test the system in a hybrid AnyLogic-MATLAB simulator. Experimental findings show that the proposed framework achieved 40%, 18%, 15%, and 21% reductions in the food waste, energy use, water use, and costs, respectively, and in addition enhanced the accuracy of the forecast, MAPE of 6.5%, the customer fill-rate 96.2%, and the Sustainability Score 78.7. The results prove that predictive analytics based on AI can greatly contribute to the sustainability, efficiency, and profitability of restaurant operations by making intelligent decisions with the assistance of data. 2025 IEEE. -
Marriage, parenting and adoption issues for LGBTQ+ community in India and their human rights challenges: A critical analysis /
The central facet of the concept of human rights is the equality of all people. Since everyone deserves respect, treating everyone equally is appropriate. Any act that diminishes that dignity is wrong because it violates the equality principle and makes discrimination more likely. Human rights are a topic that is hotly contested around the globe and is related to homosexuality. Only because of who they love and how they look do people everywhere become targets of violence and discrimination. Additionally, the LGBTQ+ community's civil rights, such as the right to marriage and the right to adopt, are not recognized on an equal footing with those of the heterosexual community. To have a family life with kids i.e. comparable to that of the heterosexual community, the LGBTQ+ community must have equal adoption rights.
The LGBTQ+ community, however, is subject to discrimination under India's adoption laws, which prevents them from fully exercising their legal rights to adoption. The discrimination on the basis adoption laws, which are predicated on the binary knowledge of gender, violate several principles outlined in Articles 14, 15, and 21 of the Indian Constitution. -
The hope and the dilemma of the urban poor /
Economic Political Weekly, Vol.53, Issue 40, pp.40-46, ISSN No. 0012-9976. -
Impact of New CSR Bill on Indian Standard & Poor 50
Research Revolution, Vol-1 (3), pp. 1-4. -
Impact of Aggressive and Conservative Working Capital Management Policy on Firms Profitability
The International Journal's Research Journal of Social Science & Management, Vol-4 (1), pp. 105-110. ISSN-2251-1571 -
Work-life balance amongst dental professionals during the COVID-19 pandemic -A structural equation modelling approach
The Coronavirus disease (COVID-19) outbreak in 2019, has shocked the entire world. As an effort to control the disease spread, the Indian government declared a nationwide lockdown on March 25th, 2020. As dental treatment was considered high risk in the spread of COVID-19, dentistry became one of the most vulnerable professions during this time. Dental professionals had to face job layoffs, salary cuts in professional colleges, closure of private clinics resulting in huge psychological, moral, and financial crises. Studies during the previous and present pandemics have shown mental issues among health care workers necessitating institutional reforms, along with early care and support. A balance in the work-life amongst professionals is the key to better efficiency and, was majorly affected during the COVID-19 pandemic lockdown due to sudden unexpected changes. Hence this study was conducted to understand the changes they underwent both at home and professional front with a hypothesis that physical and mental health, activities, relationship status, and workplace influence the work-life balance. Methods A pre-validated questionnaire survey was done on dentists across India. Structural Equation Modelling and path analysis were applied to the data collected. Results The results of the study supported the hypothesis that factors like physical and mental health, activities, relationship status, and workplace influenced the work-life balance directly. A significant imbalance was seen amongst the female dentists. Conclusion The present study proved the unpreparedness among dental professionals. Hence an evolutionary phase in every field with better working protocols, robust mental health support, and a focus on strategies to face future such emergencies is required. 2021 Pai et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. -
Relationship Between Interpersonal Conflict, Stress and Burnout in Nurses using ML Classification
Nurses often face challenges due to heavy workloads, ambiguous roles, and hierarchical pressures. This makes them particularly susceptible to stress and burnout. These factors impair their mental health, productivity, and interpersonal dynamics, resulting in emotional exhaustion, dissatisfaction, and high turnover rates. Therefore, the association between interpersonal conflict, stress, and burnout, among nurses is examined in this study. Data were collected from 636 registered nurses in Karnataka. An Artificial Neural Network was used to classify nurses on low/high interpersonal conflict levels based on their stress/burnout levels. It was found that stress and burnout strongly predict interpersonal conflicts. Factors like impaired judgment and altered behavior contribute heavily to these challenges. AI and IoT can be used to manage stress and burnout. Predictive AI analytics can monitor physiological and behavioral indicators, which can help provide an early intervention. 2025 IEEE. -
ETL and Business Analytics Correlation Mapping with Software Engineering
Large information approach can't be effectively accomplished utilizing customary information investigation strategies. Rather, unstructured information requires specific information demonstrating methods, apparatuses, and frameworks to separate experiences and data varying by associations. Information science is a logical methodology that applies scientific and measurable thoughts and PC instruments for preparing large information. At present, we all are seeing an exceptional development of data created worldwide and on the web to bring about the idea of large information. Information science is a significant testing zone because of the complexities engaged with consolidating and applying various strategies, calculations, and complex programming procedures to perform insightful investigation in huge volumes of information. Thus, the field of information science has developed from enormous information, or huge information and information science are indistinguishable. In this article we have tried to create bridge between ETL and software engineering. 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.