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Current scenario of Gastric cancer (GC): A systematic review
Gastric cancer (GC) is amongst the most difficult cancers to treat and, hence, has to be studied from the roots to be properly analysed. The disease starts as precancerous lesions which have to be observed. This includes dysplasia, atrophic gastritis and intestinal metaplasia. This is effective for detecting the prognosis of GC so that it can be resolved in early stages. This is dependent on a variety of risk factors which include blood type, gender, age, geography, gene polymorphisms, acid secretion, pernicious anemia, oxidative damage, previous gastric surgery, etc. Probably the most important, however, is infection by H. Pylori. With respect to virulence factors and host factors, both are significant players in the development of several cases of malignancies. Other genetic factors and lifestyle choices including alcohol use, tobacco usage and obesity, will also be analysed. There are also several genetic conditions that cause high risk of development into a malignancy including Menetrier s disease, hereditary diffuse GC, Lynch syndrome, Peutz-Jeghers syndrome, Li Fraumani syndrome etc. Several diagnostic procedures such as lab tests, physical examinations and biopsy are used. The current review analysed the factors which are involved in the prognosis and causative agents in the development of GC. This is to better understand how GC can be diagnosed and confirmed. This may include molecular testing, including genes, which can be of high risk followed by modern treatment methods discussing surgery, chemotherapy, immunotherapy and radiotherapy. Chemotherapy includes discussion of several drugs and how they target the malignancy in question. By understanding the disease in detail, through causes, prognosis, detection and treatment, we can go one step closer to find the cure for GC. 2022 World Research Association. All rights reserved. -
Analysis of chromosomal aberrations and micronuclei in type 2 diabetes mellitus patients
Introduction: Type 2 diabetes mellitus is a metabolic disorder characterized by insulin resistance and disrupted insulin secretion. It is often linked to injuries, malfunction and failure of several organs in the long term. The elevated chromosomal disruptions and genetic complications in diabetic patients are due to the increased production of reactive oxygen species. Materials and Methods: The current study used chromosomal aberration assay and micronucleus assay to analyze the extent of abnormalities in the subjects. Results: The results showed increase in frequency of chromosomal aberrations in diabetic patients when compared to the control group (2.761.65 and 0.470.75 respectively). They also showed higher levels of micronuclei formation than the control participants (13.288.63 and 4.128.89 respectively). The correlation analysis indicated positive relationship between total aberrations and duration of diabetes. Conclusion: These results indicate that diabetes is associated with genomic instability and studies at a genetic level can be employed for early detection. 2020, West Asia Organization for Cancer Prevention. -
Antecedents of consumer attitude and purchase intention towards counterfeit products
This paper aims to investigate the effect of information reliability, risk, and value consciousness on hedonic behaviour, attitude towards counterfeit products, and genuine store trustworthiness. Using a structured survey instrument, this paper gathered data from 449 respondents from three cities major cities (Kochi, Bangalore, and Chennai) in southern part of India. The hierarchical regression render support that: 1) information reliability is positively related to hedonic behaviour and attitude towards counterfeit products; 2) risk is negatively related to hedonic behaviour and attitude towards counterfeit products; 3) value consciousness is positively related to hedonic behaviour and genuine store trustworthiness; 4) hedonic behaviour and attitude towards products are related to purchase intention. In addition, the results also support the moderation hypotheses of materialism, value consciousness and social status. The study suggests that marketers need to understand the importance of non-deceptive counterfeiting is useful and consumers have tendency to prefer to use these products once they are satisfied with their utility. The conceptual model developed and tested in this research enables the marketing managers to understand the antecedents of consumers purchase intention of counterfeit products. Copyright 2024 Inderscience Enterprises Ltd. -
Emerging Issues and Trends in Indian Business and Management: Volume 2: Business and Society: Issues and Cases in the Indian Context
There are many theories on why managers do not (as a behavior) or should not (as a value) supplement profit orientation with people-centrism and planet sensitivity. In practice, managers do not supplement profit orientation with considerations for people and the planet unless they have the tools and know how to make that possible. This book seeks to address that by focusing on the normative dimension of organizational development. There are two competing norms for developing an organization: first, as a profit-oriented business enterprise; and second, as a people-centric, planet-sensitive, profit-oriented business or social enterprise. The performance of a business is a concern for all stakeholders. With the growing realization of the importance of indirect stakeholders like the society and the planet, it is increasingly important to raise awareness about the social and environmental responsibilities of businesses and organizations. This book is a must-read for academics, researchers, practitioners and policymakers who are concerned about the triple bottom-line (Planet-People-Profit) performance of businesses, which is critical for their long-term sustainability. It covers topics pertaining to the relationship between business and society, including social entrepreneurship and corporate social responsibility, among others, and draws from real-life case studies on social initiatives. 2024 by World Scientific Publishing Co. Pte. Ltd. -
Entrepreneurship Education: Experiments with Curriculum, Pedagogy and Target Groups
The book provides an overview of developments in the field of entrepreneurship education, with special reference to global perspectives on innovations and best practices, as well as research in the emerging economy context. It focuses on various experiments in curriculum design, review and reform in addition to the innovative processes adopted for developing new content for entrepreneurship courses, in many cases with an assessment of their impact on students' entrepreneurial performance. Further, it discusses the pedagogical methods introduced by teachers and trainers to enhance the effectiveness of students' learning and their development as future entrepreneurs. It explains the various initiatives generally undertaken to broaden the scope of entrepreneurship education by extending it beyond regular students and offering it to other groups such as professionals, technicians, artisans, war veterans, and the unemployed. The book is a valuable resource for researchers and academics working in the field of entrepreneurship education as well as for trainers, consultants, mentors and policy makers. Springer Nature Singapore Pte Ltd. 2017. All rights are reserved. -
Entrepreneurship education: Innovations and best practices
Entrepreneurship education has become a priority for policy-makers especially in developing countries. Such interventions in the education system are expected to create a culture of entrepreneurship in the society and thereby bring economic benefits through the enterprising behaviour of individuals resulting in better performance of existing organizations as well as creation of new ventures. While the process appears to be simple and straightforward, the experiences have often belied the expectations. The fact that it is rather difficult to assess the long-term impact of entrepreneurship education adds to the confusion and ambiguities. Educators therefore have been tinkering with various aspects of entrepreneurship education and training in the hope of arriving at the best design. Obviously, this has led to many innovations in the curriculum, pedagogy, target groups and institutions involved in entrepreneurship education. The present paper attempts to document these innovations and best practices under a 'WHAT-HOW-WHO-WHERE' framework to capture the four domains of activities involved. Based on a comprehensive review of the literature, we have developed a fairly comprehensive picture of what is happening in the field and proposed a theoretical model highlighting the dual role of entrepreneurship education, namely developing enterprising individuals in the society and providing knowledge and skills required for enterprise creation. Springer Nature Singapore Pte Ltd. 2017. All rights are reserved. -
Business and Society: A Symbiotic Relationship
Business can be a for-profit, not-for-profit or hybrid organization. But all these businesses focus on the satisfaction of their stakeholders. Although many businesses adopt a limited perspective of their stakeholders, focusing primarily on the interests of their investors, customers and, in some cases, their employees, it is a fact that the long-term sustainability of any business will depend on its contributions to the society. The long-term objective of all businesses is to serve and support the society and contribute to the socioeconomic development of their people. Therefore, this chapter presents a comprehensive review of the relationship between business and society, with special reference to the three main types of businesses: commercial businesses, social enterprises and non-governmental organizations. As in the case of biological systems, the relationship between business and society may be characterized predominantly by one of the three types of symbiotic relationships: mutualism, commensalism and parasitism. However, the successful co-existence of business and society, in the long run, would depend on the degree of mutualism in their relationship. 2024 by World Scientific Publishing Co. Pte. Ltd. -
Preface: Motivation for this Book
[No abstract available] -
Perception of Entrepreneurial Ecosystem: Testing the ActorObserver Bias
Entrepreneurial ecosystem is the interacting socio-economic environment that facilitates entrepreneurs to start and develop their enterprises. A vibrant and supportive entrepreneurial ecosystem is necessary for the start-up and growth of an enterprise. The entrepreneurial action would largely depend on the perception of entrepreneurs about the ecosystem. In this context, a study was designed to understand the perceptions of actors (entrepreneurs) and observers (non-entrepreneurs) on various components of the entrepreneurial ecosystem. Data for this study were collected from 296 entrepreneurs and 315 non-entrepreneurs from India, who responded to a 77-item questionnaire by giving their ratings of various aspects of the ecosystem on a 5-point scale. Findings of the study showed that perceptions of the entrepreneurial ecosystem were significantly different for most of the subgroups. Most notable among these differences was those between entrepreneurs and non-entrepreneurs, where the mean scores on all dimensions were found to be significantly higher for non-entrepreneurs than for entrepreneurs except for entrepreneurial capability which was found to be higher for entrepreneurs. Hence, the hypothesis of actorobserver bias in the perceptions of entrepreneurs and non-entrepreneurs is supported. 2019 SAGE Publications. -
A comprehensive novel model for network speech anomaly detection system using deep learning approach
Network Intrusion Detection System (NIDS) is the key technology for information security, and it plays significant role for classifying various attacks in the networks accurately. An NIDS gains an understanding of normal and anomalous behavior by examining the network traffic and can identify unknown and new attacks. Analyzing and Identifying unfamiliar attacks are one of the big challenges in Network IDS research. A huge response has been given to deep learning over the past several years and novelty in deep learning techniques are also improved regularly. Deep learning based Network Intrusion Detection approach is highly essential for improved performance. Nowadays, Machine learning algorithms made a revolution in the area of human computer interaction and achieved significant advancement in imitating human brain exactly. Convolutional Neural Network (CNN) is a powerful learning algorithm in deep learning model for improving the machine learning ability in order to achieve high attack classification accuracy and low false alarm rate. In this article, an overview of deep learning methodologies for commonly used NIDS such as Auto Encoder (AE), Deep Belief Network (DBN), Deep Neural Network (DNN), Restricted Boltzmann Machine (RBN). Moreover, the article introduces the most recent work on network anomaly detection using deep learning techniques for better understanding to choose appropriate method while implementing NIDS through widespread literature analysis. The experimental results designate that the accuracy, false alarm rate, and timeliness of the proposed CNN-NIDS model are superior than the traditional algorithms. 2020, Springer Science+Business Media, LLC, part of Springer Nature. -
Application Areas, Benefits, and Research Challenges of Converging Blockchain and Machine Learning Techniques
In recent years, machine learning (ML) has become a hot topic of research and application. ML model and huge amount of data growth difficulties still follow ML development. With the lack of new data and constant training, published ML models may soon become obsolete; unscrupulous data contributors may upload incorrectly labelled data, leading to poor training results; and data leakage and abuse are all possible outcomes. These issues can be effectively addressed by using blockchain, a new and rapidly evolving technology. With the advancement of various smart devices and the field of artificial intelligence and machine learning, interdisciplinary collaboration with blockchain technology may be incredibly valuable for future investigations. Collaborative ML and blockchain convergence can be studied here, with emphasis on how these two technologies can be combined and their application areas. On the other hand, look at the existing researchs shortcomings and future enhancements. The Author(s), under exclusive license to Springer Nature Switzerland AG. 2024. -
Cryptographic Protocols for Securing Internet of Things (IoT)
Cryptographic protocols are used to relax the ever-developing quantity of linked gadgets that make up the net of things (IoT). Those cryptographic protocols have been designed to make certain that IoT tool traffic stays cozy and personal, even while nevertheless allowing tool-to-device and cloud-to-tool communications. Examples of these protocols consist of TLS/SSL, PGP/GPG, IPsec, SSL VPN, and AES encryption. Every one of these protocols enables authentication, message integrity, and confidentiality via encryption and key trade. Moreover, a lot of these protocols are carried out in the form of diverse hardware and software answers, such as smart playing cards and gateways, to make certain that IoT traffic is secured. With the appropriate implementation of those cryptographic protocols, establishments can ensure that their IoT facts are blanketed and securely transmitted. 2024 IEEE. -
Congestion Avoidance in Vehicular Ad Hoc Network MAC Layer Using Harmony SearchModified Laying Chicken Algorithm (HS-MLCA)
To address congestion in the MAC layer and enhance overall performance, the HS-MLCA is proposed. This algorithm incorporates the principles of both Harmony Search and Laying Chicken Algorithm to optimize resource allocation and congestion control. At the MAC layer, HS-MLCA offers several advantages over traditional congestion control schemes. Firstly, it leverages the Harmony Search algorithm, which is known for its ability to exploit the best outcomes in search processes. By exploring the solution space and exploiting promising regions, HS-MLCA optimizes resource allocation in the MAC layer. The integration of the Laying Chicken Algorithm (LCA) further enhances performance by improving convergence speed and solution accuracy. This hybrid approach leverages the strengths of both Harmony Search (HS) and LCA, resulting in more efficient and effective resource management. The Laying Chicken Algorithm simulates the behavior of laying hens in terms of resource allocation and competition. This approach contributes to provide the solution in quality and convergence speed, as the algorithm adapts to the dynamic nature of the MAC layer and the varying traffic conditions in VANETs. By combining the strengths of Harmony Search and Laying Chicken Algorithm, HS-MLCA offers improved performance in terms of congestion control in the MAC layer. It optimizes resource allocation, minimizes collisions and packet loss, reduces delay, and enhances overall network efficiency. These improvements ultimately lead to better quality of service, increased network capacity, and enhanced user experience in VANETs. It is worth noting that the specific performance improvements and benefits of HS-MLCA may vary depending on the implementation details, network conditions, and the specific VANET scenario. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024. -
Prediction of football players performance using machine learning and deep learning algorithms
In modern days the margin of error for football game is low, therefore the ultimate aim of the game is to win the match. The performance of the players in the match affects the results of the game. Due to this it is very important to evaluate the player and know his weakness. Manual evaluation tends to generate many errors and take more time. In the current research the statistical model is proposed to predict the stats of the football player based on previous session data by considering various aspects of the game. Through literature reviews it is observed that machine learning and deep learning algorithms can be used predict the performance of football player. But which model would be more efficient considering the positions of the player is not considered in any article. The proposed model has designed separate model as per the position of the player during the game. This can help to predict the player's performance as per their playing position. The current study has successfully implemented various machine learning and deep learning models and provide comparative analysis of the same. Each position has considered different variables associated with that position. The performance of these models is compared for further clarification 2021 IEEE. -
Mapping Cyclone and Flood Hazard Vulnerability in Puri District, Odisha, India, Using Geoinformatics
India is vulnerable to many natural and human-made disasters due to its unique geo-climatic and socio-economic conditions. This paper focuses on natural disasters; such as cyclones and floods in the Puri district in the Indian state of Odisha. In this study, a number of floods and cyclones that occurred in the district were identified. The thematic maps of the influencing factors such as soil type, flood and cyclone vulnerability, elevation, and 2020 land cover were created using ArcGIS 10.3. Thereafter, the weighted overlay method was adopted based on analytical hierarchy process (AHP) to map the overall vulnerability of the district. The results derived from this study exhibited that the district is highly vulnerable to floods and cyclones. Finally, strategies were recommended for hazard risk reduction covering enhancing awareness towards hazards, improving early warning systems, establishing better communication between various stakeholders, and strengthening environmental protection and disaster risk reduction. Furthermore, measures for mitigation such as creating shelters, post-disaster rehabilitation, better and improved health facilities, incorporating green infrastructure at critical locations, relying on nature-based measures, execution of mangrove plantation along the coastal belt of the district, creating barriers or dykes to prevent water tides, and plummeting leachate due to improper waste disposal near the coast are suggested. The analysis and mapping of hazard vulnerability can act as a reference for urban planners and policymakers to promote Sustainable Development Goal (SDG) number 11 which is sustainable cities and communities. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024. -
Developmental Regulations to Conserve Catchment Area of an Urban Water Body: A Case of Upper Lake in the City of Bhopal, Madhya Pradesh, India
A lake reflects its catchment and provides a wide range of ecological services useful for the sustenance and betterment of human lives and other living organisms. The fast-paced developmental activities in the catchment area of lakes and over-consumption of available resources are resulting in the degradation of ecological services of the lake. The Upper Lake in Bhopal, a million-plus population city situated in the central part of India, has been selected for the study. The current regulatory regime for environmental conservation of the catchment area comprises a legislative framework and a set of regulatory institutions. Inadequacies in each accelerates environmental degradation of the Upper Lake, delays and escalates cost of developmental projects. This paper is an attempt to find out gaps in the existing institutional framework to conserve the catchment area. The present study focused on identifying and assessing major issues pertaining to the degradation of the Upper Lake, thereafter establishing a cause-and-effect relationship between anthropogenic activities and their environmental impacts. Subsequently, formulating developmental regulations forconserving theUpper Lake and its catchment area. Primarily, GIS application has been employed to delineate the catchment area of the Upper Lake by using catchment area assessment technique. Furthermore, a primary survey targeting the village stakeholders in the catchment area was conducted to analyze socio-economic profile and assess the agricultural practices adopted. Finally, formulated an institutional framework to conserve, govern and monitor the catchment area and the Upper Lake from the anthropogenic issues. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024. -
Investigating and analyzing the causality amid tourism, environment, economy, energy consumption, and carbon emissions using TodaYamamoto approach for Himachal Pradesh, India
Himachal Pradesh is a preferred tourist destination with a Compound Annual Growth Rate (CAGR) of 10.76% between 201112 and 202021. The increasing trend of CAGR has boosted the tourism economy in the state while impacting the local environment. The negative impacts have recently increased due to changes in climatic patterns and increased tourism influx during the post-pandemic period. In this context, the present study analyzed the impact of tourism on the environment, economy, and energy consumption using the Environmental Kuznets Curve (EKC) hypothesis. The novelty of this study is to the existing literature on sustainable tourism development through investigating the interrelationship between tourism, environment, economy, energy consumption, and carbon emissions by employing the TodaYamamoto (TY) technique. This study will be a pioneering scientific investigation with quantitative results in the western Himalayan states of India, encompassing Jammu & Kashmir, Uttarakhand, and Himachal Pradesh. The annual data for each variable, such as per capita carbon emission (CEP), per capita Gross State Domestic Product (GSDP), per capita GSDP square, per capita energy consumption (ECP), and per capita tourism receipts (TRP), was collected from 2010 to 2021. This study exhibited an inverted-U EKC in the state, signifying the initial stage of economic development and extensive exploitation of natural resources for tourism. The TY results indicated an inter-causal relationship and feedback association among the variables in the study area. Thus, increased TRP would lead to an upsurge in energy consumption affecting the environmental quality due to increased carbon emissions. Such environmental degradation in the state would negatively impact the tourism sector in the long run. The research findings would guide planners and policymakers in promoting sustainable tourism. 2023, The Author(s), under exclusive licence to Springer Nature B.V. -
Mental health professionals insights on developing and implementing a Mental Health Awareness and Destigmatisation program (MHAD) for adolescents
This study examined mental health professionals insights on developing and implementing a Mental Health Awareness and Destigmatisation (MHAD) program for adolescents aged 1418 years in Bangalore. Qualitative Interviews with 17 professionals revealed three main themes: 1. Awareness and Destigmatisation Programs: A Boon 2. Key Ingredients: Program Content and Delivery Style 3. Shaping Program Success: Key Drivers and Challenges. Professionals recommend interactive programs that promote open discussions and educate them on symptom recognition, online behavior, and healthy relationships. They identified key enablers and challenges, emphasizing the programs ability to empower adolescents, parents, and educators to create a supportive, stigma-free environment. 2024 Taylor & Francis Group, LLC. -
Knowledge, Attitude, and Stigma Among Adolescents: Effect of Mental Health Awareness and Destigmatisation (MHAD) Program
Background: Stigma against mental health problems is a common issue for adolescents aged 1418 years. However, comprehensive programs that simultaneously address awareness and stigma reduction tailored to the specific needs of this age group are lacking. Method: This study investigated the effectiveness of the Mental Health Awareness and Destigmatisation Program (MHAD) in reducing stigma and improving knowledge and attitudes towards peers with mental health problems. A quasi-experimental pre-post design was employed among adolescents aged 1418 years from an educational institution in Bangalore. After excluding those with high baseline mental health symptoms (PSC-17 > 20), a preassessment was conducted on adolescents' knowledge, attitude, and stigma (n = 52) using the Mental Health Knowledge Schedule, Self-structured Case Vignettes, and Peer Mental Health Stigmatization Scale. After completing the 6-week program, three participants were excluded from the post-assessment, as their attendance was less than 50%. A total of 49 (mean age = 16 years) adolescents were included in the post-assessment. Results: The paired sample t-test revealed significant improvements in all stigma scores. The Wilcoxon signed-rank test indicated a significant improvement in Recognition of Mental Illness scores. Conclusion: Findings showed that MHAD, an education-based program, was effective in reducing adolescents' stigma towards peers with mental health problems and improving their overall recognition of mental health symptoms. Research across larger adolescent populations is essential to enhance these interventions' long-term impact and sustainability. By closely monitoring and expanding research efforts, we can gain deeper insights into how these programs foster self-awareness, a crucial factor in recognizing mental health needs, challenging stigma, and promoting help-seeking behaviors among adolescents. 2024 Wiley Periodicals LLC.