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Carbon Dioxide Neutralization across the Global Supply Chain
The increased impacts of climatic changes and global warming has led many organizations to adopt green initiatives in several areas of their business processes. Many multinational companies are moving towards reduction of carbon emission across its various operations. Carbon neutrality is the process where steps are taken to achieve net zero carbon dioxide emissions. This article proposes measures to achieve carbon neutrality across the supply chain globally. As part of its sustainability initiative, organizations have decided to reduce carbon consumption across their plants. This calls for estimation of carbon dioxide emissions and reducing the carbon footprint in the entire supply chain process. It also involves gauging Green House CO2 emissions during the transportation process for all TMC regions and Transportation models used by various companies. The main calculations include total CO2 emissions, CO2 Emissions per Ton. Of Goods Transported, CO2 Emissions per Transport Km. These calculations are done based on factors such as Full Truck Load, Less Truck Load, Sea mode of transportation and Air mode of transportation. An analysis is performed on the resulting calculation figures for different modes of transportation such as road, air and sea. The analysis shows that there is an increase in overall CO2e for Air mode of transportation. The least increase in overall Co2 is Sea mode of transportation. Through this analysis, it helps the company to take better decisions regarding the mode of transportation that they need to adopt to achieve carbon neutrality. The Electrochemical Society -
Capturing non-financial information in integrated reporting
In the contemporary business scenario, integrated reporting is a transformational form of corporate reporting. Integrated reporting provides material and substantial information about an entitys prospects, governance, strategy and actions that serve as a reflection of social and commercial viability within the holistic environment in which it operates (IIRC, 2013). Thus, in integrated reports, along with financial information the critical non-financial aspects that affect the reputation, performance and sustainability of the firm are also required to be reported by companies. While regulations are instituted for compulsory divulgence of non-financial information as part of annual reports, there is a lot of ambiguity regarding the non- financial items to be included and the manner of reporting. This paper delineates the non-financial capital components for disclosure in integrated reports. It also discusses the current practices of integrated reporting world over, which will help organisations gain clarity in presenting the non-financial items under different heads of non-financial capitals. Copyright 2022 Inderscience Enterprises Ltd. -
Capturing customers spirit in the digital era
The chapter discusses the concepts of customer engagement in the digital era, more specifically focusing on emotional branding, convergence of physical and digital touchpoints for marketing, and the elements of technology. It explains in detail the processes of how brands are able to emotionally connect with their target audience, how they are able to use the data collected in a legal manner, and how they can provide a more engaging and personalized experience. By assessing consumer behavior patterns and trends in technology, the chapter provides useful insights on how brands can go after the soul of their consumers in a more and more online world. 2025, IGI Global Scientific Publishing. -
Captcha-Based Defense Mechanism to Prevent DoS Attacks
The denial of service (DoS) attack, in the current scenario, is more vulnerable to the banking system and online transactions. Conventional mechanism of DoS attacks consumes a lot of bandwidth, and there will always be performance degradation with respect to the traffic in any of the communication networks. As there is an advent over the network bandwidth, in the current era, DoS attacks have been moved from the network to servers and API. An idea has been proposed which is CAPTCHA-based defense, a purely system-based approach. In the normal case, the protection strategy for DDoS attacks can be achieved with the help of many session schedulers. The main advantage is to efficiently avoid the DoS attacks and increase the server speed as well as to avoid congestion and data loss. This is majorly concerned in a wired network to reduce the delays and to avoid congestion during attacks. 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. -
Capitalizing on diversity: Role of entrepreneurial and firm attributes in rural MSMEs financial accessibility
Consistent access to credit from formal financial institutions has been a significant challenge for micro-, small, and medium-sized enterprises (MSMEs) in rural areas. Despite contributing to a majority of the workforce in the economy, their failure rates continue to rise. These often indicate an inadequacy in internal determinants, such as limited access to infrastructure, inefficient managerial competencies, low entrepreneurial orientation, and other firm-related attributes. This article investigates how entrepreneurial and firm-specific traits influence the financial accessibility of rural MSMEs in the northeastern state of Assam in India while also considering the role of credit rationing. The current study data were collected from MSME entrepreneurs and analyzed using thematic analysis to explore the variables impacting credit accessibility. The results reveal that entrepreneurial (motivation, education, entrepreneurial orientation) and firm characteristics (firm size, infrastructure, technical know-how) are critical in assessing lenders perception toward borrowers in the complex loan processes. 2025 International Council for Small Business. -
Capitalism, Socialism, and Communism: Comparative Insights in Modern Economic Anthropology
This chapter examines capitalism, socialism, and communism from an economic and anthropological perspective, emphasizing that these systems are culturally defined, historically conditioned, and socially lived. It does so through a detailed overview of each system's history, values, and contradictions, taking advantage of ethnographic case studies from around the world to compare the extremes of labour, resource distribution, and cultural impact. The chapter also explores mixed or hybrid economic systems, digital economies, and emerging alternatives for sustainability and equity. By applying classical theories with present-day issues, the chapter emphasizes the significance of anthropological perspectives to explain the effects of economic systems on human conduct, social ties, and future values. 2026, IGI Global Scientific Publishing. All rights reserved. -
Capacity Aware Active Monitoring Load Balancing Principle for Private Cloud
Virtual machines (VMs) are the basic compute elements in cloud computing. There are load balancing principles associated with a job scheduler assigns the requests to these computing elements. Deploying an effective load balancing principle enhances better performance that ultimately achieves users satisfaction at the high level. Assigning an equal requests load appropriate to the capacity of the VMs will be a fair principle that can be the objective of any load balancing principle. Active monitoring load balancing principle assigns the requests to a server based on the pre-computed threshold limit. This paper presents a technique for assessing the capacity of the VMs based on a common attribute. This work measures each VMs processing ability as a percentage using the statistical method called Z-score. A threshold is quantified and the requests are proportioned based on this threshold value. Each server is then assigned with the proportioned requests. Suitable experiments were conducted Requests Assignment Simulator (RAS), a customized cloud simulator. The results prove that the performance of the proposed principle is comparatively better than a few load balancing principles. Areas of future extension of this work were also identified. 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. -
Capacitive dominated charge storage in supermicropores of self-activated carbon electrodes for symmetric supercapacitors
The present work demonstrates a systematic study of pore size and specific surface area (SSA) of biomass-derived carbon and the choice of electrolyte concentrations affecting charge-storage mechanism (surface controlled and diffusion controlled) and electrochemical behaviour. Porous nanocarbons derived from Caesalpinia Sappan pods were synthesized by pyrolysis at 400, 600, and 800 C. Pyrolysis at 800 C was found suitable for the self-activation mechanism which formed bimodal porous nanocarbons with a high SSA of 675 m2/g. A maximum specific capacitance of 261.8 F/g at 0.5 A/g in 5.0 M KOH was observed for electrode materials synthesized at 800 C. The highlight of the study is the porous nanocarbon synthesized at 800 C which was found to possess micropores of size 0.71.0 nm playing a pivotal role in enhancing capacitance. The effect of electrolyte concentration on capacitance and charge storage mechanisms was also analyzed. A diffusion-controlled self-discharge model is established for supercapacitor devices. The single cell can power a red LED for 15 min; exemplifying the sustainable strategy of the utilization of abundant bio-waste to efficient energy storage devices. 2022 Elsevier Ltd -
Capacitive Behaviour of Imidazole Azo Modified Carbon Nanotubes/Polypyrrole Composite in Aqueous Electrolytes
Here, we reported imidazole azo (Im) modified carbon nanotubes (CNT) grafted polypyrrole (PPy) via the chemical oxidation method. The synthesized hybrid material has shown a unique structure consisting of carbon nanotubes with a conductive network via polypyrrole. The presence of Im derivatives has helped CNTs to enhance their electrochemical performances. The as synthesized composite was characterized using various techniques like FT-IR, XRD, XPS, and Raman spectroscopy. The morphological studies were performed using SEM technique which also confirmed the nature of the composite. The electrochemical performances of the electrode material were investigated using cyclic voltammetry, galvanostatic charge-discharge, and electrochemical impedance spectroscopy in various electrolytes. The best performance of the electrode material was observed in 1 M H2SO4 with a specific capacitance of 305 F g?1 at a current density of 1 A g?1. The electrode material also showed a coulombic efficiency of 96% even after 5000 cycles. 2023 The Electrochemical Society (ECS). Published on behalf of ECS by IOP Publishing Limited. -
Canopy removal on satellite images using classification and contrast enhancement
The increasing the usage of satellite remote sensing for a civilian purpose has proved to be the most cost-effective mapping environmental changes with regard to natural resources, particularly in developing countries. Forests as one part of the wildlife of human societies in economic growth and permanency of natural resources in the countries of the world. But because of various details such as the growth of population, progressively varying forest to the other unfitting applications such as agriculture, providing energy and fuel, millions of hectares from the natural means are destroyed every year, and the remainder of the surface changes quantitatively and qualitatively. For better management of the forests, the evolution of forest area and rate of forest concentration should be examined. It is achievable that, there isnt any change in the field of the forest during the time, but the density of forest canopy is changed. Estimation of forest canopy cover has recently become an essential part of the forest. Therefore, the research study is to develop Forest Canopy Remover, which is used to get an accurate result of Forest and deforested area from the satellite earth images. It is used to calculate forest density using vegetation. Then, the changes in area and forest density during a particular period can be distinguished. 2020 IJSTR. -
Canine-assisted Therapy in Neurodevelopmental Disorders: A Scoping Review
Introduction: Animal-Assisted Therapy has been advocated to benefit individuals with neurodevelopmental disorders. Among all the various kinds of animals used in the therapy, dogs are the most utilized because of their temperament and accessibility. Methods: This systematic scoping review was carried out to present the existing literature employing canine-assisted therapy in the diverse population of neurodevelopmental disorders. The study used the Arksey and O'Malley framework for scoping reviews. Several databases including the gray literature were searched for publications on animal-assisted therapy. Results: The search yielded 4898 articles of which 41 articles were eliigible for inclusion into the review. Conclusions: Scrutiny of the articles suggested a dearth of studies in the various sub-diagnostic categoriesfor neurodevelopmental disorders along with a lack of focus on adult populations with this diagnosis. In addition, the critical need for standardization of therapy guidelines and promotion of animal welfare is reaffirmed. 2022 Elsevier GmbH -
Cancer-associated mutation at glycine 400 in TIP60 disrupt its phase separation property and catalytic activity resulting in compromised DNA damage repair function of the cell
TIP60 is a tumor suppressor with histone acetyltransferase (HAT) activity, playing a crucial role in regulating chromatin architecture by acetylating histones to enhance accessibility for other regulatory factors. Its function is vital for several key cellular processes, including DNA damage repair, apoptosis, and autophagy. While the downregulation of TIP60 has been associated with various cancers, the effects of naturally occurring mutations in TIP60 on its function in malignancies remain poorly understood. In this study, we explored how cancer-related mutations in TIP60 impact its structure and function. Several deleterious and destabilizing missense mutations were identified and analyzed for structural changes. Molecular dynamics simulations revealed alterations in protein conformational stability and radius of gyration due to these mutations, supported by significant changes in TIP60's solvent accessibility and intramolecular hydrogen bonding. Biochemical assays with recombinant proteins showed a loss of catalytic activity in the G400W mutant. Live cell imaging indicated abnormal localization of the G400W mutant within the nucleus. Additionally, we observed aberrant phase separation of TIP60 caused by the G400W mutation. Notably, the G400W mutation impairs TIP60's catalytic function, preventing effective DNA repair and leaving the genome vulnerable to further mutations. Our findings highlight cancer-associated mutations in TIP60 that may contribute to the molecular mechanisms underlying cancer initiation and progression. 2025 Elsevier Inc. -
Cancer Tumor Detection Using Genetic Mutated Data and Machine Learning Models
Early detection of a disease is a crucial task because of unavailability of proper medical facilities. Cancer is one of the critical diseases that needs early detection for survival. A cancer tumor is caused due to thousands of genetic mutations. Understanding the genetic mutations of cancer tumor is a tedious and time-consuming task. A list of genetic variations is analysed manually by a molecular pathologist. The clinical strips of indication are of nine classes, but the classification is still unknown. The objective of this implementation is to suggest a multiclass classifier which classifies the genetic mutations with respect to the clinical signs. The clinical evidences are text-evidences of gene mutations and analysed by Natural Language Processing (NLP). Various machine learning concepts like Naive Bayes, Logistic Regression, Linear Support Vector Machine, Random Forest Classifier applied on the collected dataset which contain the evidence based on genetic mutations and other clinical evidences that pathology or specialists used to classify the gene mutations. The performances of the models are analysed to get the best results. The machine learning models are implemented and analyzed with the help of gene, variance and text features. Based on the variants of gene mutation, the risk of the cancer can be detected and the medications can be prescribed accordingly. 2022 IEEE. -
Cancer Prognosis by Using Machine Learning and Data Science: A Systematic Review
Cancer is one of the most fatal diseases in the world and the leading cause for most deaths worldwide. Diagnosing cancer early has become the need of the day for doctors and researchers as it allows them to categorize patients as high-risk and low-risk categories which will eventually help them in correct diagnosis and treatment. Machine learning is a subset of artificial intelligence that makes use of raw data to make predictions and insights. Using machine learning for cancer prognosis has been under study for a long time and several papers have been published regarding the same. Even though many papers have been published on the usage of statistical methods for cancer prognosis, it has been proved that machine learning models provide more accuracy when compared to conventional statistical methods of detection. These machines can be trained to detect abnormalities such as a tumour by looking at real-world examples. Models such as artificial neural networks, decision trees, clustering techniques, and K-Nearest-Neighbours (KNNs) are being used for cancer prediction, prognosis and also research purposes. The key aim of this article is to go through the popular key trends in using machine learning algorithms for cancer prognosis, types of input datasets to be fed, different types of cancers that can be studied and also the performance of these models. 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. -
Can we improve the outcome of pregnancies with low serum PAPP-A in the first trimester?
Low birth weight is associated with various complications, and recent findings rely on the fact that micronized progesterone supplementation leads to improved birth weight, which is crucial for addressing concerns related to fetal growth. Objective: This study aimed to assess the impact of micronized progesterone (VMP4) supplementation on pregnancies with low serum pregnancy-associated plasma protein-A (PAPP-A) multiples of the median (MoM) values during first-trimester screening. Methods: Out of 8933 patients evaluated, 116 pregnant women with low PAPP-A concentrations in their blood and no fetal chromosomal anomalies (CAs) were included. Three groups were formed: group 1 received VMP4 from 11 to 16weeks (29 women, 25%), group 2 received VMP4 from 11 to 36weeks (25 women, 21.5%), and group 3 (62 women, 53.5%) served as controls without receiving progesterone. Results: Results indicated that group 3 had higher rates of complications, including miscarriages (16.37%), preterm delivery (17.8%), and fetal developmental abnormalities (19.4%). Birthweight variations were elevated in pregnancies without progesterone, contrasting with lower variations in VMP4 groups. Group 2, receiving VMP4 until 36weeks, reported the lowest incidence of abortion and preterm birth (PB), along with the highest mean birth weight. Conclusions: The conclusion suggests that 200 mg per day of VMP4 up to 36weeks of supplementation led to fewer placental-related complications in women with very low PAPP-A at first-trimester screening (0.399 MoM). By reporting lower rates of miscarriages, PBs, and fetal developmental abnormalities in the micronized progesterone-treated groups, the study suggests a potential reduction in complications. 2024 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. -
Can Tradition and Ambition Coexist? Unpacking Career and Collective Identity Integration Among Indian Emerging Adults
Developing a meaningful identity requires integrating lived experiences by coordinating the past, present and future identities, integrating multiple personally meaningful identity domains, or aligning ones identities with ones culture to form a coherent sense of self. However, there is a dearth of studies on identity integration across multiple identity domains in the Indian sociocultural context. Even in the West, identity integration is studied using survey methods predominantly in minority populations and on identity domains like ethnicity/religion and religion/sexuality. However, this focus risks overlooking the complexity and nuance of identity experiences, which are often deeply shaped by personally salient and central domains such as career and family. Thus, this paper expands the understanding of identity integration across career and collective identity, considering its relevance among Indian emerging adults using a qualitative approach. Ten emerging adults (1825 years) were purposively selected, and their interviews were analysed using inductive thematic analysis. The narrative accounts revealed career and collective identity integration as a bidirectional phenomenon where family dynamics influence career identities, which, in turn, influence family relations and the reshaping of their worth and communication dynamics. A unique configuration of struggling to balance between family and career emerged as emerging adults negotiated between their desire to stay with family and career pursuits. The impact of financial independence on career identity and parental relationships emerged as another significant aspect. The results discuss theoretical and practical implications for identity research in light of urban Indias unique sociocultural context. The Author(s), under exclusive licence to Springer Nature Switzerland AG 2025. -
Can stochastic clocks in FLRW minisuperspace prevent dynamical singularities?
We develop a stochastic extension of the Wheeler-DeWitt equation in Friedmann-Lemare-Robertson-Walker (FLRW) minisuperspace and show that quantum backreaction can dynamically regulate the big bang singularity without imposing external boundary conditions. Using Laplace-Beltrami (LB) quantisation and an open-system treatment of coarse-grained graviton modes, we obtain a stochastic Hamiltonian evolution equation in which the diffusion coefficient takes the form ? ( a ) ? a 2 . This multiplicative noise vanishes at the origin and renders a = 0 an entrance boundary in Fellers classification, leading to super-exponential suppression of the LB weighted stationary density and zero probability flux into the singular point. At large scale factor, the global behaviour depends on the cosmological sector: de Sitter and positive potential-dominated regimes exhibit power-law stationary tails, whereas confining potentials or negative effective cosmological constant lead to an entrance boundary at infinity and a globally normalisable steady state. Taken together, these results indicate that stochastic backreaction arising from semiclassical coarse-graining provides a consistent and dynamical mechanism for singularity avoidance in minisuperspace quantum cosmology. 2026 IOP Publishing Ltd. All rights, including for text and data mining, AI training, and similar technologies, are reserved. -
Can Renewable Energy Be a Driving Factor for Economic Stability? An In-Depth Study of Sector Expansion and Economic Dynamics
India has emerged as one of the world's most appealing locations for renewable energy development. It has set lofty renewable energy goals to reach 450 gigawatts (GW) capacity by 2030. These aims indicate India's determination to move to greener and more sustainable energy sources. India has been investing in R&D to promote technological innovation in renewable energy. This includes improvements to solar photovoltaic technology, wind energy, energy storage technologies, and smart grid systems. Innovation is critical for improving efficiency, lowering prices, and increasing the reliability of renewable energy sources. This paper aims to analyse the linkages between economic growth and renewable energy usage in India. For this, the Granger Causality technique is adopted, and it is found that no short-run causality exists among the economic growth and RE installed capacity. However, Industrial Production Granger Causes both GDP and Renewable Energy Capacity. When the stock price data of the last five years of top renewable energy companies was also collected, it was found that all the companies are showing an upward trend. While renewable energy is growing rapidly, especially solar and wind power, it is insufficient to meet the bulk of India's energy demands. Renewables contribute to reducing carbon emissions and diversifying the energy mix, but they still account for a smaller percentage compared to thermal power. 2024, Creative Publishing House. All rights reserved. -
Can mobile wallet usage contribute towards environmental sustainability? Evidence from a moderated mediation approach
This research empirically examines the antecedent factors influencing the relationship between mobile wallet use and environmental sustainability. The study adopted the UTAUT2 model with constructs of effort expectancy, performance expectancy, price value, mobile wallet usage, perceived security, and environmental sustainability. The research model was tested using a questionnaire-based response from 535 Indian Northeast tribal customers through a cross-sectional approach and examined the moderated mediation effect among the latent constructs. Partial least squares structural equation modelling was used to analyse the hypotheses and explain the variance, effect size, predictive relevance, and IPMA matrix. The results of this paper indicate that antecedent factors statistically and positively impact mobile wallet usage, contributing towards environmental sustainability. The outcome of this study encourages customers to adopt digital financial technology to promote environmental protection and reduce all forms of pollution. The findings help policymakers and mobile wallet service providers prioritise marketing attributes to enhance mobile wallet adoption. Moreover, managers should design tactics to augment confidence among older clients. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2023. -
Can mobile wallet usage contribute towards environmental sustainability? Evidence from a moderated mediation approach
This research empirically examines the antecedent factors influencing the relationship between mobile wallet use and environmental sustainability. The study adopted the UTAUT2 model with constructs of effort expectancy, performance expectancy, price value, mobile wallet usage, perceived security, and environmental sustainability. The research model was tested using a questionnaire-based response from 535 Indian Northeast tribal customers through a cross-sectional approach and examined the moderated mediation effect among the latent constructs. Partial least squares structural equation modelling was used to analyse the hypotheses and explain the variance, effect size, predictive relevance, and IPMA matrix. The results of this paper indicate that antecedent factors statistically and positively impact mobile wallet usage, contributing towards environmental sustainability. The outcome of this study encourages customers to adopt digital financial technology to promote environmental protection and reduce all forms of pollution. The findings help policymakers and mobile wallet service providers prioritise marketing attributes to enhance mobile wallet adoption. Moreover, managers should design tactics to augment confidence among older clients. 2023, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.