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ApDeC: A rule generator for Alzheimer's disease prediction
Artificial intelligence (AI) paved the way and helping hand for the medical practitioners in various aspects and early disease prediction is one among many. Interdisciplinary research studies on the early prediction of diseases are often analyzed based on the accuracy of the prediction model. But how early these diseases can be predicted will not be answered in many of the research studies unless they have a time series data. This work proposes a machine learning model, ApDeC which solves the above-mentioned problem by generating association rules for the early disease prediction of Alzheimer patients. The ApDeC model calculates the probability of occurrence of eleven Alzheimer disease prediction risk factors and identifies the combination of diseases that can lead to Alzheimer disease. The association rules will be generated by considering the observed combination of risk factors. The research introduces an innovative approach that helps in the early prediction of Alzheimer disease from the risk factors/symptoms. The results show the strong correlation of diabetes and blood pressure with Alzheimer disease. 2025, Institute of Advanced Engineering and Science. All rights reserved. -
Identifying Social-Cognitive Factors Influencing Aggression in Adolescents: A Cross-Sectional Indian Study
Adolescence is a critical period during which the likelihood of experiencing self-regulation failures like aggressive outbursts is increased. Recent Indian studies on adolescents have reported an increasing incidence of aggressive acts during this time of transition, which is a threat to the adolescent, the victim and society in general. This study focuses on the social-cognitive perspective, implying that aggression is a social behaviour that is largely affected by ones beliefs about the acceptability of aggression and the degree of cognitive and effortful control they have over their emotions. Such beliefs are likely to be influenced by emotion socialisation, wherein parents and peers act as key agents. With this perspective, the current study, through a mediational model, explains the social-cognitive factors predicting aggressive behaviour in adolescents. This is a cross-sectional, descriptive study carried out on a sample of 475 adolescent students from the Delhi-NCR region recruited through purposive sampling. The data were collected through self-report questionnaires from schools and colleges. The model was tested using SPSS AMOS and was found to be a good fit for the data. The findings of this study are crucial from a risk and intervention perspective. It emphasises the need to build socially and emotionally competent students who not only have the skills needed to succeed but also nurture healthy social relationships and maintain positive mental health through adaptive emotion regulation skills. 2024 Department of Psychology, University of Allahabad. -
Building Resilience Through Flexibility to Mitigate Pandemic Disruption: A SAPLAP Analysis of Textile and Clothing Supply Chain
Global organisations are increasingly emphasising efficiency in their supply chain activities. However, amidst the post-COVID-19 pandemic landscape, supply chain resilience is becoming imperative for mitigating disruptions, and ensuring uninterrupted production and delivery of goods and services. This is more true for textile and clothing supply chains which have their activities present across the globe and therefore susceptible to pandemic disruptions. This research attempts to advance the discourse on supply chain resilience by highlighting the ambidextrous role of flexibility and how it strengthens robustness as well as agility. The study employs the SAP-LAP framework (situation, actor, process; learning, action, performance) and views it through the lenses of Contingency Theory and Dynamic Capability Theory to formulate reactive and proactive strategies for supply chain resilience. The research reveals key elements of situation, actors, processes, learning, and actions for enhancing resilience performance in the textile and clothing supply chains. The results underscore the enormous significance of flexibility as a precursor for creating flexible procurement, agility, operational manoeuvrability, product diversification, and risk management culture in the supply chain. By intertwining flexibility with resilience and underpinning it with organisational theories, this study contributes to the broader discourse on supply chain disruption risk management. The Author(s) under exclusive licence to Global Institute of Flexible Systems Management 2025. -
Migration in India: Questions of social exclusion /
International Research Journal Of Social Sciences, Vol.4, Issue 4, pp.87-91, ISSN No: 2319-3565. -
Chloroform fraction of Chaetomorpha brachygona, a marine green alga from Indian Sundarbans inducing autophagy in cervical cancer cells in vitro
Sundarbans Mangrove Ecosystem (SME) is a rich repository of bioactive natural compounds, with immense nutraceutical and therapeutic potential. Till date, the algal population of SME was not explored fully for their anticancer activities. Our aim is to explore the potential of these algal phytochemicals against the proliferation of cervical cancer cells (in vitro) and identify the mode of cell death induced in them. In the present work, the chloroform fraction of marine green alga, Chaetomorpha brachygona was used on SiHa cell line. The algal phytochemicals were identified by GCMS, LCMS and column chromatography and some of the identified compounds, known for significant anticancer activities, have shown strong Bcl-2 binding capacity, as analyzed through molecular docking study. The extract showed cytostatic and cytotoxic activity on SiHa cells. Absence of fragmented DNA, and presence of increased number of acidic vacuoles in the treated cells indicate nonapoptotic cell death. The mode of cell death was likely to be autophagic, as indicated by the enhanced expression of Beclin 1 and LC3BII (considered as autophagic markers) observed by Western blotting. The study indicates that, C. brachygona can successfully inhibit the proliferation of cervical cancer cells in vitro. 2020, The Author(s). -
Reliability analysis of cement manufacturing technique in computerized clinker processing method
Cement production will face severe resource constraints in the future, as they rely on natural resources. Therefore, the industry focuses on raising natural resource requirements at both the development and operational levels. One of the situations left unattended in cement production is modelling reliability on a clinker production device with a defect in its three main components. Bridging this gap, this paper provides a reliability model on the manufacturing method of clinkers. The manufacturing of clinkers is the first step in the cement production process. The clinker manufacturing process comprises three main components: crusher, roller mill, and rotary kiln. Three reliability models are developed in this paper, with failures in its three important components considering three situations. All three components are operative, the first two components are operative, and only the first component is operative. In this paper, the transition probabilities and mean sojourn times and also MTSF are measured. 2023 Author(s). -
Artificial intelligence its growing role in human resource management
In this competitive era, the impact of artificial intelligence in human resource management is increasing quickly. Collecting the relevant data and then analyzing it accurately can accelerate the efficient working process of the organization. Artificial intelligence has paved its way in the working of various departments like IT, finance, marketing, and HRM. In this research, the researcher focused on the emerging role of artificial intelligence in HR department and how it is acting as a stimulator in enhancing the efficiency and accuracy of various HR functions like recruitment, hiring, work- life balance, performance appraisal, etc. The chapter is based on descriptive research, in which the researcher has collected secondary data from various research papers, articles, blogs, and websites. The chapter focuses on the growing role of artificial intelligence in the human resource function of the organization. 2024, IGI Global. All rights reserved. -
Transforming Financial Sector Through Financial Literacy and Fintech Revolution
The current research focuses on the financial literacy among the women, youth and impact of fin-tech on the socioeconomic well-being of the economy. The researcher has incorporated extensive data mining on financial well-being and assesses the financial literacy along with attitude and behavior for financial knowledge mainly focusing on youth and usage of AI in financial services. It has been observed during research that the benefits of the technology are limited only to the urban areas, but the rural places are not much benefited and therefore more focus is needed for the financial technology to get amalgamated with rural lifestyle for convenience and transparency of financial transactions. This research paper contributes to the awareness of financial literacy and importance of financial reliance for the youth of today through knowledge sharing. The research also highlights the importance of government involvement in financial literacy and creating awareness at a global level for well-being of youth and women. Financial literacy can also improve the rate of entrepreneurs growth and financial decisions. Financial knowledge and fin-tech services can help in better financial decisions and saving culture for self-reliant youth. The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021. -
Financial Insights Unleashed: Computational Intelligence in Practice
This study explores how artificial intelligence (AI) is changing the banking sector and identifies important uses and consequences. Fintech is evolving, from AI-powered credit risk evaluations to the real-time effects of news and social media on markets. Customary financial procedures are being transformed by the incorporation of blockchain technology, smart contracts, and collaborative models that combine human and AI. It is important to balance risk and return while implementing computational intelligence (CI), and there are several obstacles associated with this technical advance, such as ethical issues and data privacy solutions. This 168changing financial story emphasizes the importance of finding a careful balance between innovation and responsibility. Financial decision-making will hopefully become data-driven, customer-focused, and morally based in the future thanks to the cooperative synergy between humans and AI. The development of a robust and thoughtful financial landscape depends critically on ongoing monitoring, adaptability, and dedication to ethical AI practices. 2026 by Apple Academic Press, Inc. -
Enhancing Employee Onboarding Through Digital Twin Technology
Digital twins and their transformative technology have simplified corporate processes while establishing secure and data-driven environments for customized expertise enhancement, workflow optimization, and scenario building. This chapter assesses the impact of digital twins on job design and human resource (HR) practices in developing new and more productive human-focused workplaces. Traditional or old-fashioned onboarding practices are not customizable or flexible and do not give real-time feedback, which creates negative workplace experiences and higher turnover levels. Digital transformation (DT) techniques suggest using digital twins for interactive, customized onboarding solutions to engage and retain employees better. Research indicates that digital twins have effects fundamentally altering HR practices by providing adaptive approaches in real time, cost-free scenario testing, and prediction analytics on employee retention. They help in monitoring workload, preventing burn-out, and customize approaches to enhance individual well-being. Most importantly, they predict career paths and determine training needs; hence, they are good at improving talent development. Successful implementation, however, is dependent on resolving challenges such as data privacy, model accuracy, system interoperability, and bias in artificial intelligence (AI). Applications of digital twin technology (DTT) in onboarding are numerous and important in real life concerning the retention, productivity, and attrition levels of employees. Real-time and predictive data can allow proactive improvement in onboarding and the happiness levels of workers as well as overall company performance results. 2026 Channi Sachdeva, Veena Grover, Balamurugan Balusamy, Veer P. Gangwar, and Pardeep Kumar. -
Fintechs Contribution to Supply Chain Finance Value Creation Via Banking and Financial Systems
In every business, finance takes an important role which does give birth to buyer and supplier. The market is growing due to an increase in the use of supply chain financing by SMEs to improve their cash flow operations resulting requirement to manage massive volumes and speeds of data in fintech industries propelling market to move forward. However, the market's expansion is hampered by a lack of global standardisation and government-imposed tight controls on the fintech industry. The potential of Blockchain technology (BCT) has been explored in the field of digital assets and digital currency. BCT provides automation with increased efficiency and speed, greater transparency, and enhanced security and traceability. Every challenge whether faced by the company in supply chain finance or the financial intermediary can be neutralised with the use of technology. Today, technology in finance or fintech is a booming area. Where every domain in business is using technology to improvise, finance is not behind. This emerging and ever-changing field of fintech is providing many opportunities for sophisticated supply chain finance. 2025 The Editor(s) (if applicable) and The Author(s), under exclusive licence to Springer Nature Singapore Pte. Ltd. -
Climate Risks and Financial Resilience
Climate threats are drastically altering the risk environment for businesses, which has a significant impact on their creditworthiness and valuation. The observable effectsdisturbed supply chains, damaged assets, and decreased consumer demanddirectly result in worse financial statements and a reduced ability to pay off debt. It is no longer possible for lenders and investors to overlook the systemic risk indicated by this decline in financial health. Therefore, the stability of the larger financial system depends on climate resilience, which is crucial for individual businesses as well. Financial stability and economic resilience are increasingly at risk due to the rising frequency and severity of catastrophic weather events and long-term ecological changes. The study uses the Scopus database, one of the most extensive bibliometric sources, to map worldwide research patterns and determine future directions in the field of climate risk and financial resilience in order to comprehend and manage these issues. The results show that supply chains are disrupted, asset prices are impacted, and operating expenses rise as a result of climate concerns. As a result, businesses and financial institutions are gradually implementing resilience planning, climate risk assessment frameworks, and sustainable investment strategies. The shift to low-carbon portfolios is a noteworthy trend that proactively integrates climate risk into financial planning to guard against possible losses and open up opportunities. This study enables a thorough knowledge of the components of climate hazard, which is crucial information for lawmakers, financial institutions, and business decision-makers. This clarity makes it easier to create forward-thinking, doable initiatives, such as strengthening public-private collaboration, funding resilient infrastructure, and incorporating climate issues into financial frameworks. Building long-term financial resilience against an unpredictable environmental backdrop and proactively addressing climate-induced shocks requires these integrated methods. The Author(s), under exclusive license to Springer Nature Switzerland AG 2026. -
Effect of nonlinear thermal radiation on MHD boundary layer flow and melting heat transfer of micro-polar fluid over a stretching surface with fluid particles suspension
A comprehensive numerical study is conducted to investigate effect of nonlinear thermal radiation on MHD boundary layer flow and melting heat transfer of micro-polar fluid over a stretching surface with fluid particles suspension. Using suitable transformations, the governing equations of the problem are transformed in to a set of coupled nonlinear ordinary differential equations and then they are solved numerically using the Runge-Kutta-Fehlberg method with the help of shooting technique. Authentication of the current method is proved by having compared with established results with limiting solution. The impact of the various stimulating parameters on the flow and heat transfer is analyzed and deliberated through plotted graphs in detail. We found that the velocity, angular velocity and temperature fields increase with an increase in the melting process of the stretching sheet. Also it is visualize that the shear stress factor is lower for micropolar fluids as compared to Newtonian fluids, which may be beneficial in flow and heat control of polymeric processing. 2017 Trans Tech Publications, Switzerland. -
MHD nanofluid flow past a rotating disk with thermal radiation in the presence of aluminum and titanium alloy nanoparticles
The effects of thermal and exponential space dependent heat sources (THS and ESHS) on magneto-nanoliquid flow across a rotating disk with uniform stretching rate along radial direction are scrutinized in this communication. H2O based nanoliquids containing aluminium (AA 7075) and titanium (Ti6Al4V) alloy nanoparticles are considered. The AA7075 is made up of 90% Al, 5-6% Zn, 2-3% Mg, 1-2% Cu with additives such as Fe, Mn and Si etc. The flow is driven due to rotating disk with uniform stretching of the disk. Impacts of Joule and viscous heating are also deployed. The multidegree ordinary differential equations are formed via Von Karman transformations. The obtained non-linear BVP is solved by Runge-Kutta-Fehlberg based shooting approach (RKFS). Graphical illustrations depict the impacts of influential parameters on flow fields. The skin friction and Nusselt number are also calculated. Results pointed out that the thermal boundary layer growth stabilizes due to the influence of ESHS aspect. Velocities of AA7075 H2O nanofluid are superior than that of Ti6 Al4V H2O nanoliquid. Furthermore, the thermal performance of base liquid is outstanding when we added titanium alloy nanoparticles in comparison with aluminium alloy nanoparticles. 2018 Trans Tech Publications, Switzerland. -
Significance of buoyancy, velocity index and thickness of an upper horizontal surface of a paraboloid of revolution: The case of non-Newtonian carreau fluid
The problem of fluid flow on air-jet weaving machine (i.e. mechanical engineering and chemical engineering) is deliberated upon in this report using the case of non-Newtonian Carreau fluid flow. In this report, the boundary layer flow of the fluid over an upper horizontal surface of a paraboloid of revolution is presented. The dimensional governing equations were nondimensionalized, parameterized, solved numerically and discussed. Maximum horizontal velocity is ascertained at smaller values of thickness parameter, a larger value of buoyancy related parameter and the flow is characterized as shear-thickening. Local skin friction coefficient is an increasing and a decreasing property of Deborah number for Shear thinning and Shear-thickening cases of the flow respectively. The velocity of the flow parallel to the surface (uhspr) is a decreasing property of thickness parameter and increasing function of velocity index parameter. 2018 Trans Tech Publications, Switzerland. -
IDS for Internet of things (IoT) and Industrial IoT Network
The Internet of Things (IoT) is a swiftly increasing domain of interconnected gadgets, technologies, and structures that may be achieved in a small, tightly associated environment or can travel across big geographic areas, including Smart Cities. IoT devices are increasingly deployed for numerous goals inclusive of records sensing, accumulating, and controlling. The IoT enhances user affairs by permitting a huge variety of smart gadgets to link and possible information. IoT gadgets are hastily evolving universally while IoT offerings have become pervasive. IoT devices include a big assortment of devices, along with small, embedded sensors, AI assistants, digital cameras, and so on, which can be found in various backgrounds, i.e., Smart Homes, Smart Communities, and Smart Cities. Smart Cities have developed into intriguing areas with technologies consisting of traffic-conscious streetlights which dynamically react to emergencies by editing site visitors styles. Moreover, with the adoption of 5G networks, technologies and techniques throughout towns have become blended. This persevered improvement of IoT advocated the expansion of sophisticated and complicated systems which appreciably adjust the community. However, these technologies have guided to a brand new threat to the security of grids. Many present-day malware assaults, targeted at classic computer systems linked to the Internet, will also be required for IoT gadgets. With those enhancements, malicious actors have found new methods to control their weaknesses. One of the biggest cyber-attacks in instances of terabits in step with 2d operated, infected IoT gadgets harmonized within a botnet provides a massive DDoS assault which disrupts the Internet range for large geographic regions. This attack underlines the increasing hazard posed via uncertain IoT devices. Moreover, attacks that include those are evolving as greater threats as a larger quantity of exposed gadgets is introduced to networks throughout the globe. Their actions are anomalous and higher are the numbers of hazards and assaults toward IoT devices. Cyber-attacks arent new to the IoT, however as the IoT may be deeply interwoven in our lives and societies, traditional protection resolutions are inadequate when managing these dangers. Oftentimes, safety answers are created to run locally on host appliances, i.e., antivirus software, or as standalone machines (i.e. community firewalls and intrusion detection structures (IDSs). However, the IoT has obtained a clean set of community protocols, together with Zigbee, Ant+, and 6LoWPAN, that traditional safety solutions, such as rule-primarily based firewalls and host-based total antivirus software programs, had been not equipped with or have no longer been revised to account for. Moreover, many IoT gadgets suffer from computational, storehouse, or network situations. Due to those constraints, IoT safety answers, especially an IoT IDS, must be lightweight enough, in phrases of the computational, garage, and networking resources, to be living on the devices but sturdy enough to accurately hit upon potential intrusions. Therefore, a holistic method needs to be regular while coming to IoT intrusion detection. IoT devices cant be considered in a vacuum as self-contained machines due to the fact a totally fledged, modern protection answer is just too aid-annoying for constructing on those gadgets. The normal safety of the network necessitates IoT gadgets to be included as associates within a security answer rather than as man or woman nodes. Therefore, green protection of IoT devices could keep millions of net customers away from malicious moves. However, present malware detection techniques are afflicted by excessive computational complexity. Hence, theres a real necessity to protect the IoT, which has therefore resulted in a requirement to completely recognize the threats and assaults in an IoT infrastructure. 2024 selection and editorial matter, Mayank Swarnkar and Shyam Singh Rajput; individual chapters, the contributors. -
Evaluating Social Priorities in Environmental Social Governance for the BFSI Sector: A Fuzzy Analytic Hierarchy Process Perspective
As global financial systems evolve, the Banking, Financial Services, and Insurance (BFSI) sector faces increasing pressure to balance financial performance with Environmental, Social, and Governance (ESG) obligations. However, integrating social factors such as employee welfare, community engagement, customer satisfaction, and diversity and inclusion remains challenging due to their subjective and often intangible nature. This study addresses this issue by applying the Fuzzy Analytic Hierarchy Process (Fuzzy AHP) to evaluate and prioritize social factors within the ESG framework. The Fuzzy AHP method, which combines traditional AHP with fuzzy logic to manage uncertainty in expert judgments, was used to gather and analyze input from BFSI sector experts. The study assessed the relative importance of social factors through structured pairwise comparisons, providing a clear hierarchy of priorities for BFSI institutions. The results reveal that employee welfare and customer satisfaction emerged as the most critical social aspects, reflecting stakeholder expectations and regulatory pressures. By focusing on these key areas, BFSI institutions can enhance their ESG performance and meet sustainability goals. These findings offer actionable insights for decision-makers in the BFSI sector, allowing them to better allocate resources to social initiatives that not only satisfy regulatory requirements but also contribute to long-term business value and societal impact. This study underscores the importance of prioritizing social factors in sustainable strategies and provides a robust framework for navigating the complexities of ESG integration. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025. -
Fractional ReactionDiffusion Model: An Efficient Computational Technique for Nonlinear Time-Fractional Schnakenberg Model
In this article, the q-homotopy analysis transform method (q-HATM) is committed to finding the solutions and analyzing the gathered results for the nonlinear fractional-order reactiondiffusion systems such as the fractional Schnakenberg model. These models are well known for the modelling of morphogen in developmental biology. The efficiency and reliability of the q-HATM, which is the proper mixture of Laplace transform and q-HAM, always keep it in a better position in comparison with many other analytical techniques. By choosing a precise value for the auxiliary parameter ?, one can modify the region of convergence of the series solution. In the current framework, the investigation of the Schnakenberg models is implemented with exciting results. The acquired results guarantee that the considered method is very satisfying and scrutinizes the complex nonlinear issues that arise in the arena of science and technology. 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. -
Novel approach for nonlinear time-fractional Sharma-Tasso-Olever equation using Elzaki transform
In this article, we demonstrated the study of the time-fractional nonlinear Sharma-Tasso-Olever (STO) equation with different initial conditions. The novel technique, which is the mixture of the q-homotopy analysis method and the new integral transform known as Elzaki transform called, q-homotopy analysis Elzaki transform method (q-HAETM) implemented to find the adequate approximated solution of the considered problems. The wave solutions of the STO equation play a vital role in the nonlinear wave model for coastal and harbor designs. The demonstration of the considered scheme is done by carrying out some examples of time-fractional STO equations with different initial approximations. q-HAETM offers us to modulate the range of convergence of the series solution using ?, called the auxiliary parameter or convergence control parameter. By performing appropriate numerical simulations, the effectiveness and reliability of the considered technique are validated. The implementation of the new integral transform called the Elzaki transform along with the reliable analytical technique called the q-homotopy analysis method to examine the time-fractional nonlinear STO equation displays the novelty of the presented work. The obtained findings show that the proposed method is very gratifying and examines the complex nonlinear challenges that arise in science and innovation. 2023 Balikesir University. All rights reserved. -
A new computational technique for the analytic treatment of time-fractional EmdenFowler equations
This paper presents the study of fractional EmdenFowler (FEF) equations by utilizinga new adequate procedure, specifically the q-homotopy analysis transform method (q-HATM). The EF equation has got greater significance in both physical and mathematical investigation of capillary and nonlinear dispersive gravity waves. The projected technique is tested by considering four illustrations of the time-fractional EF equations. The q-HATM furnish ?, known as an auxiliary parameter, by the support of ? we can modulate the various stages of convergence of the series solution. Additionally, to certify the resolution and accurateness of the proposed method we fitted the suitable numerical simulations. The redeem results guarantee that the proposed process is more convincing and scrutinizes the extremely nonlinear issues emerging in the field of science and engineering. 2021 International Association for Mathematics and Computers in Simulation (IMACS)