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Body mass index implications using data analysis in the soccer sports
Soccer is considered among the most popular sports in the world among the last few years. At the same time, it has become a prime target in developing countries like India and other Asian countries. As science and technology grow, we can see that sports also grow with science, and hence technology being used to determine the results sometime or sometimes it is used to grow the overall effect. This paper presents the attributes and the qualities which are necessary to develop in a player in order to play for the big-time leagues called Premier League, La Liga, Serie A, German Leagues and so on. Simple correlation and dependence techniques have been used in this paper in order to get proper relationship among the attributes. This paper also examines how the body mass index plays an effect on the presentation of soccer players with respect to their speed, increasing speed, work rate, aptitude moves and stamina. The point is likewise to discover the connection of the above credits concerning body mass index. As in universal exchange, football clubs can profit more in the event that they have practical experience in what they have or can make a similar bit of room to maneuver. In a universe of rare assets, clubs need to recognize what makes them effective and contribute in like manner. Springer Nature Singapore Pte Ltd 2021. -
Bollywood, biopics and biographies: Understanding the transmutation of narratives /
A biopic or a biographical motion picture, that charts the lifetime of a person featured in that film, is not a trend or fad that came about in recent years. One could start with arguing upon the stance of the biopics of actually being a genre of itself, despite having been the part of earliest days of silent cinema. The paper studies three biopics in Bollywood along with the biographies/autobiographies that have been used as the background source for the film‘s narration. -
Bombay High Court (re)assures that copyright registration is not required to remedy infringement
Sanjay Soya Private Limited v. Narayani Trading Company, Interim Application (L) No. 5011 of 2020 and Commercial IP Suit No. 2 of 2021, High Court of Bombay, Maharashtra, judgment of 9 March 2021, by Mr. Justice G.S. Patel The Bombay High Court, in the case of Sanjay Soya Private Limited v. Narayani Trading Company, held that copyright registration is not a prerequisite to claiming relief in copyright infringement cases. The judgment clarifies the dubiety created previously by a contrary judicial opinion and aligns the Indian position with international copyright principles. 2021 The Author(s) 2021. Published by Oxford University Press. All rights reserved. -
Bookstagrammers vs. BookTubers: A comparative study on readers' preferred social media book influencer
As the Internet has become a part of many people's daily lives, it has led to the growth of a reading culture influenced by book bloggers on different social media platforms. This chapter identifies two social media platforms that the readers utilize to share about the books they have read. While readers have found their reading space on social media platforms, some have become book influencers. This chapter identifies two categories of prominent literary influencers i.e., Bookstagrammers and BookTubers. Since the readers follow book influencers to learn about the latest books and to read their reviews before making their purchase decision. This chapter aims to compare and analyse the prominent categories of book influencers focusing on knowing more about the preferred book influencers from the readers' point of view. 2024, IGI Global. All rights reserved. -
Boosting enabled efficient machine learning technique for accurate prediction of crop yield towards precision agriculture
Due to the limited availability of natural resources, it is essential that agricultural productivity keep pace with population growth. Despite unfavorable weather circumstances, this project's major objective is to boost production. As a consequence of technological advancements in agriculture, precision farming as a way for enhancing crop yields is gaining appeal and becoming more prevalent. When it comes to predicting future data, machine learning employs a number of methods, including the creation of models and the acquisition of prediction rules based on past data. In this manuscript, we examine various techniques to machine learning, as well as an automated agricultural yield projection model based on selecting the most relevant features. For the purpose of selecting features, the Grey Level Co-occurrence Matrix method is utilised. For classification, we make use of the AdaBoost Decision Tree, Artificial Neural Network (ANN), and K-Nearest Neighbour (KNN) algorithms. The data set that was used in this study is simply a compilation of information about a variety of topics, including yield, pesticide use, rainfall, and average temperature. This data collection consists of 33 characteristics or qualities in total. The crops soya beans, maze, potato, rice, paddy, wheat, and sorghum are included in this data collection. This data collection was made possible through the collaboration of the Food and Agriculture Organisation (FAO) and the World Data Bank, both of which make their data available to the public. The AdaBoost decision tree has achieved the highest level of accuracy possible when used to anticipate agricultural yield. Both the accuracy rate and the recall rate are quite high at 99 percent. The Author(s) 2024. -
Boosting productive capacity in OECD countries: Unveiling the roles of geopolitical risk and globalization
This study examines the intertwined effects of geopolitical risk and globalization on productive capacity (the measure of economic cycles) in 20 Organisation for Economic Cooperation and Development (OECD) countries from 2000 to 2021. The panel threshold regression and Driscoll-Kraay standard error estimations highlight the positive impact of globalization on productive capacity. Still, they are underscored by the negative effect of geopolitical risk. The study also unveils a synergistic relationship, demonstrating that the combined influence of globalization and geopolitical risk can amplify productive capacity under specific conditions. Government effectiveness and innovation have positive effects on productive capacities. These findings underscore the need for balanced policies that leverage global economic integration while ensuring geopolitical stability, and offering nuanced insights to guide strategic decision-making for sustained economic cycles. 2024 Elsevier Inc. -
Boosting Surface Coverage of CO Intermediates through Multimetallic Interface Interactions for Efficient CO2 Electrochemical Reduction
Given the inherent challenges of the CO2 electroreduction (CO2ER) reaction, solely from CO2 and H2O, it is desirable to develop selective product formation pathways. This can be achieved by designing multimetallic nanocomposites that provide optimal CO coverage, allowing for tunability in the product formation. In this work, Ag and Zn codoped-SrTiO3 (ZAST) composite immobilized carbon black (CB)-modified GCE working electrode (ZAST@CB/GCE) was developed for the electrochemical conversion of CO2 to multicarbon products. The complete reaction was carried out in a CO2-saturated aqueous system of 0.5 M KHCO3 electrolyte. A potential-dependent product selectivity was suggested based on the NMR results, wherein raising the potential value enhanced the formation of liquid products such as acetone and alcohols while suppressing competitive HER. The total Faradaic efficiency for liquid products reached an impressive 97% at a potential of ?0.6 V vs. RHE. This represents a significant advancement in acetone production pathways and valorization of CO2ER technology. 2025 American Chemical Society. -
Border Collie Optimization
In recent times, several metaheuristic algorithms have been proposed for solving real world optimization problems. In this paper, a new metaheuristic algorithm, called the Border Collie Optimization is introduced. The algorithm is developed by mimicking the sheep herding styles of Border Collie dogs. The Border Collie's unique herding style from the front as well as from the sides is adopted successfully in this paper. In this algorithm, the entire population is divided into two parts viz., dogs and sheep. This is done to equally focus on both exploration and exploitation of the search space. The Border Collie utilizes a predatory move called eyeing. This technique of the dogs is utilized to prevent the algorithm from getting stuck into local optima. A sensitivity analysis of the proposed algorithm has been carried out using the Sobol's sensitivity indices with the Sobol g-function for tuning of parameters. The proposed algorithm is applied on thirty-five benchmark functions. The proposed algorithm provides very competitive results, when compared with seven state-of-the-art algorithms like Ant Colony optimization, Differential algorithm, Genetic algorithm, Grey-wolf optimizer, Harris Hawk optimization, Particle Swarm optimization and Whale optimization algorithm. The performance of the proposed algorithm is analytically and visually tested by different methods to judge its supremacy. Finally, the statistical significance of the proposed algorithm is established by comparing it with other algorithms by employing Kruskal-Wallis test and Friedman test. 2013 IEEE. -
Border Region Railway Development in Sino- Indian Geopolitical Competition
India and China share about 3,488 km long International Boundary, which has three sectors: Western, Middle and Eastern. The Eastern sector comprises two Northeastern states, that is, Arunachal Pradesh measuring 1,124 kms and Sikkim measuring 219 kms, respectively. Due to recent changes in the geopolitical relationship with China, border management and transport infrastructure development have occupied centre stage. In recent years, the Government of India has taken initiatives to develop railway infrastructure in Northeast India. The study will focus on the role of railway transportation in Sino-Indian geopolitical competition. The study is based on secondary data collected from the office of General Manager, Northeast Frontier Railway, the Census of India and reports of Memorandums of Understanding between India and China. The study reveals that railway infrastructure along the border creates geo-psychological pressures on both countries, influencing the divergent geopolitical relationship between India and China. Railway diplomacy is a tool kit of critical geopolitics which reveals the contours of geopolitical competition in borderlands. 2023 Indian Council of World Affairs(ICWA). -
Bougainvillea glabra-mediated synthesis of Zr?O and chitosan-coated zirconium oxide nanoparticles: Multifunctional antibacterial and anticancer agents with enhanced biocompatibility
The effectiveness and safety of nanomaterials (NMs) are essential for their use in healthcare. This study focuses on creating NPs with multifunctional antibacterial and anticancer properties to combat bacterial infections and cancer disease more effectively than traditional antibiotics. This study investigates the synthesis of Zr3O and chitosan (ch) coated zirconium oxide nanoparticles (chZrO NPs) using Bougainvillea glabra (B. glabra) plant extract through a green, one-pot precipitation method. The synthesized NPs were analyzed using various techniques. Their antibacterial properties are attributed to the production of reactive oxygen species (ROS), influenced by their size, large surface area, oxygen vacancies, ion release, and diffusion capabilities. The chZrO NPs showed superior antibacterial activity compared to Zr3O and chitosan alone, with effective inhibition against both Gram-positive bacteria (S. aureus and B. subtilis) and Gram-negative bacteria (E. coli and P. aeruginosa). Additionally, anticancer studies of chZrO NPs demonstrated significant activity against colon cancer HCT116 cells with C50 values of 4.98 ?g/mL compared to chitosan and Zr3O with 9.62, 6.69 ?g/mL, while biocompatibility tests on L929 cells confirmed their safety showing 93 % cell viability compared to ch and Zr3O. These findings suggest that chZrO NPs are promising candidates for future use in clinical and healthcare applications. 2025 Elsevier B.V. -
Boundary layer flow of magneto-nanomicropolar liquid over an exponentially elongated porous plate with Joule heating and viscous heating: a numerical study
Micropolar fluids are used in lubrication theory, thrust bearing technologies, cervical flows, lubricants, paint rheology, and the polymer industry. This study develops the numerical simulation of the magneto-Darcy flow of a polarized nanoliquid with Joule heating and viscous heating mechanisms on an exponentially elongated surface. The effects of linearized Rosseland radiation and temperature-dependent heat generation are considered. The flow is generated by an exponential form of elongation of a flexible sheet. The porous matrix and nanoparticle effects are characterized by the Darcy expression and the two-component Buongiorno model correspondingly. The resulting partial differential systems are solved numerically using the RungeKutta-based shooting technique to interpret the importance of key parameters in physical quantities. A direct comparison is made to validate the results. Our results demonstrated that arbitrary movement of the nanoparticles significantly advances the temperature profile by reducing the concentration of nanoparticles. Both Joule heating and viscous heating mechanisms improve the structure of the thermal boundary layer. The porous matrix reduces the velocity of the nanoliquid and thus the width of the velocity boundary layer is reduced. 2021, King Fahd University of Petroleum & Minerals. -
Bounds for Zagreb class of indices on alkylating agents
The family of Zagreb indices have a pivotal role in predicting various physiochemical properties of molecules. Alkylating agents are some of the main classes of anticancer drugs. In this paper we find the bounds of some Zagreb indices. 2022 Author(s). -
Bounds of Sombor Index for F-Sum Operation
Graph operations have a major impact in the aspects of theory and empirical literature of the domain. For relating the molecular topology to any real chemical attribute, the conversion of the relevant details embedded into chemical structure to some numeric value becomes so vital which ultimately paves the way for the emergence of topological indices. Topological descriptor acts as an effective graph invariant in chemical graph theory associated with certain molecular structure. Recently, the study on the sombor index is initiated by I.Gutman [16]. In the article, we utilise combinatorial inequalities, including the general sum-connectivity index, the first general zagreb index and few other indices in their formulations, for the determination of bounds for sombor index for the F-sum operation of connected graphs. Palestine Polytechnic University-PPU 2023. -
Bounds on Sombor Index for Corona Products on R-Graphs
Operations in the theory of graphs has a substantial influence in the analytical and factual dimensions of the domain. In the realm of chemical graph theory, topological descriptor serves as a comprehensive graph invariant linked with a specific molecular structure. The study on the Sombor index is initiated recently by Ivan Gutman. The triangle parallel graph comprises of the edges of subdivision graph along with the edges of the original graph. In this paper, we make use of combinatorial inequalities related with the vertices, edges and the neighborhood concepts as well as the other topological descriptors in the computations for the determination of bounds of Sombor index for certain corona products involving the triangle parallel graph. 2024 Azarbaijan Shahid Madani University. -
Bounds on Sombor index of graph operations
Operations in graph theory have a significant influence in the theoretical and application aspect of the domain. Topological indices serve as a crucial component in chemical graph theory linked with some molecular structure. Recently, Gutman initiated the study on the Sombor index. In this paper, the computation of some bounds for Sombor index of graph operation notably join, cartesian product, corona product, lexicographic product, tensor product and strong product is carried out. The computation has been utilized to determine the upper bounds of the index for the specified graph operations for some standard graphs like the path and cycle graphs. 2025 World Scientific Publishing Company. -
Bounds related to product variants of graphs
Operations in graph theory have a significant influence in the theoretical and application aspect of the domain. Topological indices serve as a crucial component in chemical graph theory linked with some molecular structure. Recently, the study on the new graph product variants is initiated. In the article, the computation of some bounds for atom-bond connectivity index, inverse sum indeg index, geometric-arithmetic index and sombor index of graph operations notably the corona join product, subdivision vertex join product and the subdivision vertex-edge join is carried out. Palestine Polytechnic University-PPU 2023. -
BoxBehnken design and experimental study of ciprofloxacin degradation over Ag2O/CeO2/g-C3N4 nanocomposites
Abstract: The presence of pharmaceutical residues notably antibiotics in the environment is an increasing concern due to their persistence and toxicity. Developing efficient and eco-friendly methods to eliminate antibiotic residues from water bodies has become a major environmental challenge. CeO2 doped with a heteroatom forms a hybrid structure with g-C3N4 and could serve as an efficient photocatalytic agent. In this study, CeO2/g-C3N4 and Ag2O/CeO2/g-C3N4 hybrid catalysts were prepared for UV light degradation of ciprofloxacin (CIP) antibiotic. The various factors that influence the degradation were experimentally optimized. The kinetics of the degradation was investigated using the LangmuirHinshelwood kinetic model. The effect of three operational parameters influencing the photocatalytic degradation has been evaluated using BoxBehnken design of response surface methodology. The highest degradation of CIP was observed at CIP concentration of 10?g/L with a catalyst amount of 30mg after 2.5h. Efficient charge separation was achieved from the dopant and the existing integrated electric field of the heterojunction showed impressive higher activity. Graphic abstract: [Figure not available: see fulltext.]. 2020, Islamic Azad University (IAU). -
Bracing up for financial inclusivity: the CabDost way
Learning outcomes: The learning outcomes of this study are as follows: 1. understand the role of financial inclusivity in the sustainable development of a nation; 2. examine the concept of social entrepreneurship and identify the skills needed to be a social entrepreneur; 3. analyze the opportunities and challenges faced by social entrepreneurs, especially in an emerging economy; and 4. assess the feasible options with respect to upscaling and expansion. Case overview/synopsis: Yamuna Sastry, a young woman from a traditional Indian family, had set out to achieve her dream of financial inclusivity by helping the underprivileged in her country gain financial independence and credibility. When she was approached by a cab driver to file tax returns for him, a new venture took shape in her mind, and along with a partner, CabDost, a socially driven financial advisory start-up was created to provide financial advisory services exclusively for cab drivers. CabDost had been instrumental in making over 15,000 cab drivers financially literate, instilling in them a culture of compliance, getting them tax refunds and enabling the Indian Government recover eight crores in taxes. The success of financial inclusivity among cab drivers inspired CabDost to extend its financial services to truck drivers, auto drivers, housekeeping staff and other contractual workforce. The company found it challenging to address the demands of the increasing customer base with its available technical resources. The absence of an in-house tech team and the need for an all-in-one tech platform to provide a wide variety of financial services induced CabDost to explore other options. Dvara Money, a neo bank offering financial services, approached CabDost with a merger proposal. Though it was a lucrative offer, the founding members were apprehensive as they knew that most of the mergers failed because of myriad reasons. They were contemplating on their next move as they were in a dilemma about whether to develop a technical team in-house or to go ahead with the merger. Complexity academic level: The case can be taught to business management students as a part of the introductory course on entrepreneurship or social entrepreneurship. The case can be used specifically to make the students understand the role of financial inclusivity in the sustainable development of a nation, the concept of social entrepreneurship, the journey of social entrepreneurs in the financial inclusivity space, right from ideation to execution, the challenges faced in the bargain, survival mechanisms adopted and the various options available for further growth and expansion. Supplementary materials: Teaching notes are available for educators only. Subject code: CSS 3: Entrepreneurship. 2023, Emerald Publishing Limited. -
Brain image classification using time frequency extraction with histogram intensity similarity
Brain medical image classification is an essential procedure in Computer-Aided Diagnosis (CAD) systems. Conventional methods depend specifically on the local or global features. Several fusion methods have also been developed, most of which are problem-distinct and have shown to be highly favorable in medical images. However, intensity-specific images are not extracted. The recent deep learning methods ensure an efficient means to design an end-to-end model that produces final classification accuracy with brain medical images, compromising normalization. To solve these classification problems, in this paper, Histogram and Time-frequency Differential Deep (HTF-DD) method for medical image classification using Brain Magnetic Resonance Image (MRI) is presented. The construction of the proposed method involves the following steps. First, a deep Convolutional Neural Network (CNN) is trained as a pooled feature mapping in a supervised manner and the result that it obtains are standardized intensified pre-processed features for extraction. Second, a set of time-frequency features are extracted based on time signal and frequency signal of medical images to obtain time-frequency maps. Finally, an efficient model that is based on Differential Deep Learning is designed for obtaining different classes. The proposed model is evaluated using National Biomedical Imaging Archive (NBIA) images and validation of computational time, computational overhead and classification accuracy for varied Brain MRI has been done. 2022 CRL Publishing. All rights reserved. -
Brain inspired artificial intelligence implant to detect heart disease using reservoir computing /
Patent Number: 202141052156, Applicant: S.Balamurugan.
Research study shows that nearly 30% of the heart attacks occur in patient without any symptoms. Different patterns in medical data could efficiently be identified and classified using Artificial Intelligence Techniques. Research shows that an implant could detect three proteins whose levels are subject to rise after the occurrence of heart attack. Such implants could aid patients with high-risk of heart attack by helping doctors to give appropriate treatment on-time in case of occurrence of heart attack and also to prevent the occurrence of further complications of heart disease.