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Regression Approach for Predictive Analysis in Cognitive Decline
Cognitive decline refers to the deterioration of cognitive abilities, including memory, thinking, and reasoning, often associated with aging or neurological disorders like Alzheimer's disease. Machine learning (ML) methods can be used for predicting cognitive decline. Techniques such as Generative Adversarial Networks (GANs), feed-forward neural networks, supervised, and unsupervised learning process and analyse data patterns to forecast cognitive changes. By analyzing large datasets, ML algorithms can identify subtle cognitive shifts and predict future decline, enabling early intervention and personalized healthcare strategies. These diverse ML methods provide valuable tools for understanding, detecting, and potentially mitigating cognitive decline, advancing our ability to address cognitive health challenges. Some of these methods have been discussed later. In this research paper, a model to predict cognitive decline using principles of logical regression is proposed. The Author(s), under exclusive license to Springer Nature Switzerland AG 2024. -
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Open global shadow graph and its zero forcing number
Zero forcing number of a graph is the minimum cardinality of the zero forcing set. A zero forcing set is a set of black vertices of minimum cardinality that can colour the entire graph black using the colour change rule: each vertex of G is coloured either white or black, and vertex v is a black vertex and can force a white neighbour only if it has one white neighbour. In this paper we identify a class of graph where the zero forcing number is equal to the minimum rank of the graph and call it as a new class of graph that is open global shadow graph. Some of the basic properties of open global shadow graph are studied. The zero forcing number of open global shadow graph of a graph with upper and lower bound is obtained. Hence giving the upper and lower bound for the minimum rank of the graph. 2023, Proyecciones. All Rights Reserved. -
On the k-Forcing Number of Some DS-Graphs
Amos et al. introduced the notion of k-forcing number as a generalization of Zero forcing number and is denoted by Fk(G) where k> 0 is any positive integer, the k -forcing number of a graph is the minimum cardinality among all k -forcing sets of a graph G. In this paper, many bounds for k -forcing number of degree splitting graph DS(G) for different graph classes are found. We evaluate the value of k -forcing number of degree splitting graph of some of the Cartesian product graph for different values of k. Also we observed that for Tur graph Tn , t, upper and lower bound is given by, Fk(Tn , t) ? Fk(DS(Tn , t) ) ? Fk(Tn , t) + 1. 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. -
Injective coloring of complementary prism and generalized complementary prism graphs
The complementary prism Gof a graph G is the graph obtained by drawing edges between the corresponding vertices of a graph G and its complement. In this paper, we generalize the concept of complementary prisms of graphs and determine the injective chromatic number of generalized complementary prisms of graphs. We prove that for any simple graph G of order n, ?i(G ? n and if G is a graph with a universal vertex, then ?i(G = n. 2020 World Scientific Publishing Company. -
On the zero forcing number of complementary prism graphs
The zero forcing number of a graph is the minimum cardinality among all the zero forcing sets of a graph G. The aim of this article is to compute the zero forcing number of complementary prism graphs. Some bounds on the zero forcing number of complementary prism graphs are presented. The remainder of this article discusses the following result. Let G and ? be connected graphs. Then Z(G?) ? n ? 1 if and only if there exists two vertices vi, vj ? V (G) and i 6? j such that, either N(vi) ? N(vj) or N[vi] ? N[vj] in G. 2025 Azarbaijan Shahid Madani University. -
Innovation and Progress: An Insight into the Indian Business Start- Ups and the Promotion of Scientific Temper for Socio-Economic Advancement
The Constitution of India through its 42nd Amendment of 1976, incorporated scientific temper' as one of the Fundamental Duties to every Indian citizen under Article 51 A (h). The first Prime Minister of India, Pandit Jawahar Lal Nehru mentions this term in his book Discovery of India where he characterized scientific temper as a mind-set to change or alter one's intuition in the light of evidences and not to accept anything which appears to be irrational or without proof. Our country has consistently put forth attempts to concede to the scientific temper, time and again and emphasised its significance. In 2013, the Science, Technology, and Innovation policy, developed by the Government of India pushed on the advancement of scientific temper amongst every citizen. However, it needs to go quite far to appropriately show this temperament while fostering the resolutions for achieving socio-economic goals of the country. Presently, it has been noticed that business ventures are intensely reliant uponscientific temper and this will be ultimately essential for the entrepreneurs to succeed. Thus, small and micro undertakings backed by competitive and state of the art technology will be the foundation for greater enterprises in the country, resulting in economic boom. All future businesses will be driven by science and technology and hence, it is called for addition of new avenues and enterprises, with changing time and further with scientific temper as its major ingredient. Start-ups can be considered as one such innovation that has been leading businesses growing by leaps and bounds. In India, the last decade emerged with great start-ups like CRED, Meesho, Swiggy, Zomato, Delhivery, Oyo and many more, making itself one of the most important start-up hubs in Asia and perhaps even in the world. The scientific temper in start-ups can further do wonders to Indias socioeconomic growth in the long run. Hence, in this paper, the authors shall make an attempt to bring out the essence of scientific temper in bringing forth the technologically advanced start-ups in India and its capacity to form the basis of India's future in the global market, in terms of both technological advancements and entrepreneurship. The paper will also highlight the hindrances to its growth and suggest measures in contributing to the growth of start-up ecosystem in India. 2024, Department of Law, University of North Bengal. All rights reserved. -
Role of Design Thinking in Service Learning Towards Attaining Holistic Development
Higher Education Institutions (HEIs) play a pivotal role in nurturing personal and professional development in students. These institutions are essential in equipping students with the skills required for life. The graduate attributes aid the graduates in attaining the whole person's growth or holistic development. There are many ways through which students can achieve graduate attributes. Service Learning is a structured, credit- based coursework designed by HEIs to accomplish optimal student learning outcomes. It is most beneficial for community students and all other stakeholders. Design thinking in SL involves figuring out peoples problems and developing practical and implementable ideas. Service Learning (SL) is a pedagogical approach that involves applying classroom learning for the improvement and welfare of society. It is a form of inclusive education that bridges the gap between the classroom and society. Despite being a widely used pedagogical approach in HEIs, it also faces specific challenges in its implementation. 2025 by IGI Global Scientific Publishing. -
Transforming Finance into an AI-Driven, Data-Centric, and Analytics-Focused Function: Implications for Organizational Impact
The financial function within organizations is evolving from a traditional cost-center role to a strategic partner powered by artificial intelligence (AI), data analytics, and advanced technologies. This transformation is reshaping how financial professionals analyze data, predict trends, and support decision-making. By leveraging AI, finance teams can automate repetitive tasks, enhance data accuracy, and deliver actionable insights in real-time. Integrating predictive and prescriptive analytics further empowers organizations to forecast financial outcomes, optimize resource allocation, and mitigate risks with precision. This shift to an AI-driven, data-centric finance model fosters agility, innovation, and enhanced collaboration across departments. It aligns financial strategies with organizational goals, improving operational efficiency and driving sustainable growth. However, the transition demands investments in digital infrastructure, a redefinition of roles, and an upskilling of personnel to handle complex analytics tools. The implications for organizational impact include enhanced competitiveness, informed decision-making, and a stronger ability to navigate an increasingly volatile economic landscape. This chapter explores these transformations, their challenges, and the opportunities they unlock for organizations aiming to thrive in a data-dominated era. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2026. -
Impact of visual merchandising on consumers' purchase decision in apparel retail /
International Journal of Business and Administration Research, Vol.2, Issue 6, pp.271-279, ISSN No: 2348-0653. -
A Study on Laptop Brand Preferences in B-Schools
Volume : 2 | Issue : 12 | Dec 2013 • ISSN No 2277 - 8160 -
Influence of product and place factors on consumer buying behavior in formal footwear sector /
International Journal of Management and Social Science Research Review, Vol.1, Issue 2, pp.354-362, ISSN No: 2349-6738 (Print) 2349-6746 (Online) -
The hope and the dilemma of the urban poor
A common view about economically weaker sections and lower-income groups in India is that they live in slums because they cannot afford to buy or rent decent accommodation in the formal market. However, some can pay a monthly rent and/or for the services such as garbage disposal and water, but they, and others who can afford to buy, are deterred by institutional constraints. Many slum households face a dilemma: opting for better and more secure living conditions would mean losing some of the advantages of living in a slum and the possibility of a free home. 2018 Economic and Political Weekly. All rights reserved. -
Estimation of spectroscopic parameters and TL glow curve analysis of Eu3+-activated CaY2O4 phosphor
The solid-state reaction method was utilised to create a down-conversion phosphor in an air environment in CaY2O4:Eu3+ nanocrystalline material. The calcination temperature was set at 1000 C, and the sintering temperature was set at 1300 C. Following annealing, confirmation of the crystallinity quality of the phosphor was accomplished by the use of X-ray diffraction analysis. The particle size was predicted to be 43.113 nm using Scherrer's formula. To produce down-conversion luminescence spectra, an excitation wavelength of 247 nm was applied with a fluorescence spectrophotometer. The PL got increasingly intense as the concentration of the dopant increased. The maximum intensity was measured at 2.0 mol% of Eu3+ ion, which gradually decreased as the concentration increased because of concentration quenching. To analyse spectrophotometric peak determinations, the approach developed by the Commission Internationale de l'lairage (CIE) was used. Thermoluminescence (TL) glow curve analysis of the CaY2O4:Eu3+-doped phosphor manufactured here revealed a wide TL centred at 225 C, which comprised of so many peaks that may be extracted by the computerised glow curve deconvolution (CGCD) approach using glow-fit software. The associated kinetic parameters were then determined. The prepared phosphor may be useful for application in various display devices upon excitation by 247 nm; the prominent 613 nm peak of the Eu3+ ion (5D0 ? 7F2) electric dipole transition features a red component. CaY2O4:Eu3+ phosphors show promise as materials for potential use in phosphor-converted white LEDs in the field of solid-state lighting technology. The linear connection that the TL glow curve has with UV dose provides evidence for its possible use in dosimetry. 2023 The Royal Society of Chemistry. -
Voltage stability analysis using L-index under various transformer tap changer settings
Voltage stability is a major problem in power system which depended on many factors like improper load forecasting, generator outage, line fault and shortage of reactive power supply etc. For a secure and economic power system operation voltage stability should be maintained within permissible limit. Voltage stability is a measure of whole power system quality. Voltage stability studies can done by analyzing reactive power production, transmission of power and consumption. In this paper voltage stability analysis of an IEEE 14 bus system is done by calculating L-index of the buses. From load flow studies optimized voltage is chosen, and by using these voltage values L-index is calculated. From the calculated L-index values we can find out vulnerable buses. How the transformer tap changing effect the voltage stability is also calculated here. 2016 IEEE. -
Synthesis of 4H-3,1-Benzothiazin-4-Ones via C-N/C-S Bond Forming Reactions
A Phosphine-free and effective process has been expressed for the formulation of N,S-heterocycles following a C-N/C-S bond forming reactions. The described process operates through EDC-HCl-mediated heterocyclization of diverse isothiocyanates and bis-nucleophiles to deliver 1,3-thiazinone derivatives, which eliminates the use of hazardous reagents. The developed protocol was found applicable over a wide range of substrates in delivering N,S-heterocycles in excellent yields at room temperature and short reaction time. 2022 Taylor & Francis Group, LLC. -
Biofortification and Sustainable Intensification of Soil: Perspectives on Rice Cultivation in India
Biofortified crops have inherently been known to acquire climate-smart traits and stress resilience. Climate-smart agriculture integrates climate change into the planning and implementation of sustainable agricultural strategies. Biofortification is a climate-smart concept that enhances crop nutrient quality and quantity through conventional breeding, agronomic practices, or genetic engineering. It will enrich food availability, stability, accessibility, and utilization and positively impact the health, livelihood, production, and distribution of food crops. The system of rice (Oryza sativa L.) intensification involves a set of agronomic principles to improve the structure and functioning of the soil system by fortifying it with organic matter and micronutrients. With the exceeding urbanization and population explosion, food security is a primary concern for policymakers all around the globe. Widespread zinc, iodine, iron, and selenium micronutrient malnutrition is a significant cause of numerous health problems in human populations where rice is part of the staple diet. Climate-smart biofortification is a durable and effective option to reach the vast numbers of malnourished populations scattered across the world sustainably. Approaches have been strategized worldwide under rice biofortification research projects for maintaining, increasing, and introducing new micronutrients in rice grain. Biofortification has been safely implemented as an environmentally friendly approach to produce higher yields at low costs without undesirable soil effects. Prospective advancements can be achieved by integrating mineral and organic fertilizers with superior germplasm, promoting improved nutrient uptake and localization in the consumed parts of the crop. 2025 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG. -
Improved Photocatalytic Activity of g-C3N4/ZnO: A PotentialDirect Z-Scheme Nanocomposite
In this study, a Z-scheme g-C3N4/ZnO nanocomposite was synthesized using exfoliation process, which was further characterized using XRD, FT-IR, UV-DRS, SEM-EDAX, PL, EIS, and TGA techniques. The properties of g-C3N4 were enhanced when fabricated with ZnO resulting in a better electron mobility, high redox potential, and excellent semiconducting properties. The performance of this heterostructure was evaluated by photocatalytic degradation of malachite green (MG) under visible light irradiation. The g-C3N4/ZnO heterostructure achieved a degradation of 84.3 % within 60 min under visible light irradiation. The degradation reaction follows a pseudo first-order kinetic model with a reaction rate constant of 0.0329 min?1. The nanocomposite demonstrated outstanding stability and recyclability. 2020 Wiley-VCH GmbH -
Exploring the potential application of Cr2AlC MAX phase as an emerging electrocatalyst for overall water splitting
A three-dimensional (3D) chromium carbide ceramic type, H-phase (211) categorized as Cr2AlC, MAX phase has garnered enormous attention in recent times due to its unique structure and bonding, surface area, thermal stability, and thermo-electrical conductivity, and hydrophilicity. A simple synthesis approach is proposed for obtaining layered Cr2AlC, MAX phase, with X-ray diffraction data and SEM morphology confirming the formation of the H-phase. The electrocatalyst Cr2AlC is being utilized for electrocatalytic water splitting application. The Cr2AlC is observed to exhibit an overpotential and Tafel slopes of 215 mV/88.3 mV dec? 1 for the hydrogen evolution reaction (HER) and 376 mV/96.5 mV dec? 1 for the oxygen evolution reaction (OER), respectively, demonstrating good stability for up to 7200s. This study establishes a straightforward method for producing emergent material, Cr2AlC MAX phase, and highlights its promising applications in water electrolysis, hydrogen evolution, and oxygen evolution reactions. Qatar University and Springer Nature Switzerland AG 2024. -
Exploring the potential application of Cr2AlC MAX phase as an emerging electrocatalyst for overall water splitting
A three-dimensional (3D) chromium carbide ceramic type, H-phase (211) categorized as Cr2AlC, MAX phase has garnered enormous attention in recent times due to its unique structure and bonding, surface area, thermal stability, and thermo-electrical conductivity, and hydrophilicity. A simple synthesis approach is proposed for obtaining layered Cr2AlC, MAX phase, with X-ray diffraction data and SEM morphology confirming the formation of the H-phase. The electrocatalyst Cr2AlC is being utilized for electrocatalytic water splitting application. The Cr2AlC is observed to exhibit an overpotential and Tafel slopes of 215 mV/88.3 mV dec? 1 for the hydrogen evolution reaction (HER) and 376 mV/96.5 mV dec? 1 for the oxygen evolution reaction (OER), respectively, demonstrating good stability for up to 7200s. This study establishes a straightforward method for producing emergent material, Cr2AlC MAX phase, and highlights its promising applications in water electrolysis, hydrogen evolution, and oxygen evolution reactions. Qatar University and Springer Nature Switzerland AG 2024.