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The fractional-order marriagedivorce mathematical model: numerical investigations and dynamical analysis
In this research, we present a fractional-order mathematical model that simulates the ongoing phenomenon of marriage and divorce, which significantly impacts human lives. The model is defined within the LiouvilleCaputo framework and incorporates different states and parameter values. Specifically, the model consists of four state variables that describe the statuses of married, divorced, or troubled couples, as well as the interactions between these states. We conduct a stability analysis for the proposed model and calculate the equilibrium points, revealing the conditions for a stable solution. Moreover, we establish the existence, uniqueness, and boundedness of the models solution using the Banach fixed point theorem. The global stability of the obtained equilibrium points is investigated using the Lyapunov function, revealing a globally stable solution with specific conditions. To obtain the results, we employ a multi-domain collocation technique that utilizes orthogonal generalized Romanovski polynomials. These polynomials offer the advantage of achieving higher-order accuracy without requiring a large number of basis functions. We assess the accuracy of the proposed technique by calculating the residual error. Furthermore, we conduct simulations with various parameter values and fractional orders to demonstrate the techniques effectiveness under different scenarios. The results confirm the techniques ability to provide accurate outcomes across multiple scenarios. To enhance result validation, a comparison with real data from the USA is introduced for both married and divorced individuals. This elucidates the significance of the proposed fractional model in providing a deeper understanding of the dynamics and behavior of the solution and its impact on the populations lives. By introducing and analyzing this model, this research contributes to a deeper understanding of the dynamics and implications of marriage and divorce phenomena. The Author(s), under exclusive licence to SocietItaliana di Fisica and Springer-Verlag GmbH Germany, part of Springer Nature 2024. -
Effect of Waste Materials in Partial Replacement of Cement Fine Aggregate and Course Aggregate in Concrete
International Journal of Inventive Engineering and Sciences (IJIES), Vol.2, Issue 4, ISSN: 2319-9598 -
Flexible Teaching - Learning Systems in Indian Higher Education System through Technology - A Study on Demographic Impact
International Journal of Computer Application Vol. 5, Issue 2, pp 178-182, ISSN No. 2250-1797 -
Generalized p-Transmuted Neutrosophic Distributions: Theory and its Applications
The study of neutrosophy offers a fresh approach for handling uncertain data with adaptability. This article explores the application of neutrosophic probability distribution in constructing a transmuted neutrosophic framework. Specifically, it introduces a generalized transmuted neutrosophic distribution. Building upon this generalization, quadratic and cubic transmuted distributions are developed and examined alongside certain lifetime distributions serving as foundational neutrosophic models. Additionally, an empirical investigation is conducted to assess the practicality and versatility of these distributions in real-world contexts. 2024, American Scientific Publishing Group (ASPG). All rights reserved. -
Forbidden Cravings: Exploring socio-cultural ramifications of food practices in Aamis
Food choices represent conscious affirmation and expression of personal, group, ethnic or national identity. Due to its multidimensional role, food that we rely on sustenance is often politicised and used as a tool to create conflict amongst and within diverse social groups. Assamese cuisine includes a rich platter of authentic food varieties, often limited to the north-eastern region. Although food consumption is a subjective experience, cultural taboos within a community might be acceptable practices in another culture, creating conflicting notions of food practices. The balance between the twin axis of culture and politics regarding food is disrupted when heterogeneous cultural patterns and opposing political notions are in discord. Similarly, the solidarity within a cultural group becomes hostile when the authority of the individual concerning food choices is not aligned with the authority of the social structure. This discord from a political and cultural standpoint is evident in the Assamese socio-cultural scenario. Taking Bhaskar Hazarika's Ravening/Aamis (2019) as a case study, this paper proposes to analyse the representational troupe of food, through a structuralist anthropological lens, with respect to food politics to understand socio-cultural ramifications of Assamese food patterns. 2022 Aesthetics Media Services. All rights reserved. -
Synthesis, characterization and antimicrobial studies of novel Schiff bases and their complexes
Novel Schiff bases, Furan-2-carboxylic acid pyridin-4-ylmethyleneamide, and Thiophene-2-carboxylic acid 1H-indol-2-ylmethyleneamide and their mononuclear Ni(II) and Cu(II) complexes have been synthesized and characterized by elemental analysis, molar conductance, UV-visible, FT-IR, 1H NMR and EPR spectroscopy. The complexes are non-electrolytes as evidenced from the molar conductance vaules. The ligands and their complexes have been tested for their antimicrobial activity against one gram positive bacteria, Bacillus subtilis, gram negative bacteria, Escherichia coli and fungi Candida albicans. It is found that metal complexes exhibited more activity than the free ligand. 2021 Scientific Publishers. All rights reserved. -
Automated Single Responsibility Principle Enforcement: A Step Toward Reusable and Maintainable Code
In this study, we delve into the sphere of automated code scrutiny, specifically concentrating on compliance with the single responsibility principle (SRP), a key principle in software architecture. The SRP proposes that a class should have a singular reason for modification, thereby enhancing code cohesion and facilitating its maintenance and reusability. The study presents a pioneering system that utilizes a holistic strategy to ascertain SRP compliance within code. This system rigorously inspects code interfaces, the interaction points among various software components. Through this process, we extract critical insights into the codes maintainability and reusability. An optimally designed interface can significantly improve code management and foster its reuse, leading to superior software design efficiency. Beyond interface inspection, our system also explores complexity metrics such as cyclomatic complexity and hassel volume. Cyclomatic complexity offers a numerical indicator of the count of linearly independent paths traversing a programs source code, serving as a measure of code complexity. Hassel volume is an additional metric that can quantify code complexity. Moreover, our system employs code smell detection methodologies to identify instances of high interdependence between classes, often a sign of SRP breaches. High interdependence, or tight coupling, complicates code modification and maintenance. The system integrates the conclusions from these varied analyses to determine SRP compliance. The outcomes of this investigation highlight a hopeful trajectory toward automated SRP detection. This could provide developers with tools that proactively foster the development of well-organized and maintainable code, thereby enhancing software design quality. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024. -
Emerging Nanomaterials as Versatile Nanozymes: A New Dimension in Biomedical Research
The enzyme-mimicking nature of versatile nanomaterials proposes a new class of materials categorized as nano-enzymes, ornanozymes. They are artificial enzymes fabricated by functionalizing nanomaterials to generate active sites that can mimic enzyme-like functions. Materials extend from metals and oxides to inorganic nanoparticles possessing intrinsic enzyme-like properties. High cost, low stability, difficulty in separation, reusability, and storage issues of natural enzymes can be well addressed by nanozymes. Since 2007, more than 100 nanozymes have been reported that mimic enzymes like peroxidase, oxidase, catalase, protease, nuclease, hydrolase, superoxide dismutase, etc. In addition, several nanozymes can also exhibit multi-enzyme properties. Vast applications have been reported by exploiting the chemical, optical, and physiochemical properties offered by nanozymes. This review focuses on the reported nanozymes fabricated from a variety of materials along with their enzyme-mimicking activity involving tuning of materials such as metal nanoparticles (NPs), metal-oxide NPs, metalorganic framework (MOF), covalent organic framework (COF), and carbon-based NPs. Furthermore, diverse applications of nanozymes in biomedical research are discussed in detail. The Author(s), under exclusive licence to Springer Nature Switzerland AG 2024. -
Breast cancer detection: A comparative review on passive and active thermography
Breast cancer is the main cause of death among women due to cancer. Early detection is crucial in controlling the disease. Thermography is a non-invasive imaging method that uses temperature differences on the breast surface to identify tumors. This paper focuses on the various aspects of thermography as a diagnostic tool for detecting breast cancer. It includes a review of the currently existing active thermography approaches used to energize the tumor cell to enhance the thermal contrast on the surface. The comparison of passive and active thermography showed that active thermography was more effective, increasing depth-dependent performance from 3 mm to 9 mm for 1.5 mm sized tumors and accuracy from 54% to 82% without a rise in false positive rates. The contrast between malignant and benign tissue also improved from 0.6 C to 0.9 C, indicating that active thermography increases the performance of passive thermography in various aspects. A comparative study of active thermography reveals that healthy tissues are likely to be damaged if the input parameters are not regulated properly. A comprehensive comparison of various tumor estimation algorithms in the paper concludes that the dynamic analysis using an active approach outperforms static analysis due to a significant decrease in error percentage. 2023 Elsevier B.V. -
Young consumers' green marketing orientation: role of customer citizenship behaviour in determining real estate purchase intention in India
Purpose: The purpose of this paper is to assess green marketing as an influential factor in the purchase of real estate. In this study, the consumer citizenship behaviour of young individuals will be studied with an assessment of real estate purchase intention, strategic green marketing orientation (GMO) and tactical GMO. Design/methodology/approach: The sample frame consists of young consumers from Indias metropolitan cities. The respondents were in the range of 18 to 35 years of age. These cities provide a high standard of living, more career options and better educational opportunities. Five separate sections of a standardised questionnaire were used, and a structural equation model was used to assess a total of 393 valid replies. Findings: Green marketing impacts the behaviour that influences the desire of young customer to buy green real estate. Research limitations/implications: As the focus of this study is primarily on major cities, future research may study similar behaviour in non-metropolitan cities. The study can also be conducted among consumers of other age groups. Originality/value: The originality, to the best of the authors knowledge, exists in examining how young consumers opinions about green marketing impact their intentions to purchase green houses and real estate in India. This study will be accessible to all parties involved in the housing and real estate industries. 2023, Emerald Publishing Limited. -
A Framework for Digital Forensics Using Blockchain to Secure Digital Data
Digital forensics (DF) requires evidence integrity and provenance across boundaries of jurisdiction, and blockchain technology is ideal for ensuring that. As part of this paper, we discussed a digital forensic framework designed to help prevent duplication of data and secure digital data. In order to accomplish such forensic capabilities, we provide a block-based forensics framework. Using it, examinations are validated, irreversible, traceable, robust, and demonstrate high levels of confidence among examiners and evidence entities. 2022 IEEE. -
Forecasting of Environmental Sustainability through Green Innovation of E-Vehicle Industry
E-mobility sustainability forecasting is getting more detailed with study, taking into account social cost in addition to technological, economic, or environmental factors. One solution for reducing greenhouse gas emissions is to implement green innovation in the transportation sector. The citizenrys view and acceptance of electric cars must be improved, more research into the social cost of these innovations is required. Consequently, the transportation industry might decarbonize more quickly. Another approach to do it is to advocate for more all-encompassing green innovations that can enhance sustainable development. Using Our Common Future, published in 1987 by the World Commission on Environment and Development [1], the commission emphasized the importance of sustainability while integrating social and economic development. Additionally, it recommended that governments take environmental factors into account while making decisions. The significance of sustainability was then increased and institutionalized, which meant that nations began passing laws that promoted sustainability. Consumer awareness of sustainability is rising largely from an economic and environmental standpoint. This also has an impact on the transportation industry and poses significant environmental, social, and economic difficulties. However, given that it generates close to 5% of the GDP and employs almost 11 million people, transportation is crucial from an economic standpoint. 2024 Sachi Nandan Mohanty, Preethi Nanjundan and Tejaswini Kar. -
Customer Perspective through Artificial Intelligence: Forecasting Green Products Sustainable Development
The idea of planned behavior was developed in 1980 as a philosophy of deliberate action to interpret human behavior. The primary element of this theory is an individuals purpose, which is impacted by the attitude of expecting that the behavior will result in the desired result. This theory has helped in determining certain characteristics of an individual that includes smoking, drinking, services, and so on. The theory states that the behaviors are achieved through motivation and control. These characteristics developed are completely voluntary which can sometimes help in the betterment and improvement in any field. The name of the theory itself gives us a clarity that it is a well-planned formation of behaviors different from his or her normative and preconceived beliefs and norms. 2024 Sachi Nandan Mohanty, Preethi Nanjundan and Tejaswini Kar. -
Paradigm of Green Technologies in Hospitality Industry and its Sustainability Analytics
The function of the study is to investigate the customer attitude towards the sustainable or Green Technologies adopted by the hospitality industry and how this has changed the purchase intentions of the customer. This also explores the disposition of people to pay for and repeat these services and how the new green practice and techniques have changed the brand image. The data was collected through a monitored survey from 448 people across India. The conceptual framework that was formulated is tested during structural equational modelling. As a result of the study, it was found that, green purchase intentions are significantly influenced by the attitude they have towards Green Technologies/services. All stakeholders in the hospitality industry in India will find this paper useful. 2022 IEEE. -
An Efficient Underwater Image Restoration Model for Digital Image Processing
Digital image processing (DIP) is showing a massive growth intodays trending world particularly, in the field of biological research. Underwater image analysis plays a vital role, where the images are easily prone to attenuation and haziness. Capturing underwater images has always been a challenging job due to dispersion and scattering of light inside water on a high scale. Several image enhancement and restoration methodologies are currently available to address these issues, where hazing and color diffusion are viewed as a common phenomenon in it. Such procedures normally includes two basic methodologies in it, namely dehazing and contrast or color enhancement, which improves the overall output of the degraded image. However, the quality and processing time of the images can still be enhanced with additional techniques incorporated to it. This work is intended toward proposing one such channel called improvised bright channel prior for dehazing the underwater images. The technique further improves on the existing methodologies by estimating the atmospheric light and refining the transmittance of the image along with image restoration. The experimental results show that the improvised bright channel prior methodology is found to perform better in dehazing underwater images with a balanced intensity in terms of dark and white patches obtained from it. When comparing and contrasting the processing time of the proposed methodology with the existing techniques, it is found that improvised bright channel prior performs better. Also, the quality of the dehazed underwater image obtained from the proposed channel is found to be effective when compared with the existing channels. 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. -
Effect of age and gender on dietary patterns, mindful eating, body image and confidence
The emergence of Diet Culture came into existence with the era of pop culture, which emphasized the idea of body improvement by embracing the portrayal of unrealistic beauty standards set by the thin-ideal media. This growing and trending culture gained its popularity in India with the COVID pandemic and the imposed lockdown, wherein the prevalence of obesity and binge eating resulted from counter-regulatory eating behaviors and restrictive food intake to a greater extent of skipping meals to achieve the desired body type. The present empirical investigation focuses on understanding the gender and age-based differences (between the ages 18 to 55) among Indian population on dietary patterns, body image, mindful eating and physical appearance confidence using 2 3 factorial design. The tools used were Eating Behavior Pattern Questionnaire (EBPQ) [43], Body Self- image Questionnaire (BSIQ) [40], Mindful Eating Questionnaire (MEQ) [18] and Personal Evaluation Inventory (PEI) [44] were administered on a sample size of 120, selected using convenience sampling technique. The collected data was analyzed using SPSS Version 20.0. Results of the study reveal non-significant age and gender differences for mindful eating and appearance confidence. Significant age- differences were observed for Snacking and convenience F(2,114) = 6.22, p <.05; social dependence F(2,114) = 3.87, p <.05 and height dissatisfaction F(2,114) = 8.79, p <.05. And, significant gender differences were observed for Meal Skipping F(1,114) = 6.46, P <.05; snacking and convenience F(1,114) = 4.19, p <.05; fatness evaluation F(1,114) = 5.94, p <.05 and fitness evaluation F(1,114) = 5.33, p <.05. The only significant interaction effect observed was for social dependence dimension F(2, 114) = 3.96, p <.05. Thus, high exposure to social media and diet-related content contributed significantly to changing dietary patterns, and how they look, feel or perceive their body. 2023, BioMed Central Ltd., part of Springer Nature. -
Effect of Social Cognitive Skills Training (SCST) on Cognitive and Affective Theory of Mind in Adolescents
Social cognitive skills training (SCST) in a therapeutic setup can result in more positive outcomes when incorporated with psychotherapy, especially among adolescents with minor social-cognitive impairments, and it may result in multifarious benefits to mitigate their social-cognitive dysfunction. This research focuses on the effect of SCST on the cognitive and affective theory of mind for adolescents with low social cognition. Quasi-experimental research with a pre-test-post-test design was used. Edinburgh Social Cognition test (ESCoT) was used for pre-and post-testing one week before and post-SCST training. The significant findings reveal a positive impact of SCST on the affective theory of mind and cognitive theory of mind in the experimental group. No significant changes were found in the control group (waitlisted). The results help validate the SCST module to improve an adolescents cognitive and affective theory of mind in social cognition. Further implications are discussed. 2024, Institute for Human Rehabilitation. All rights reserved. -
THEORY OF MIND AS A UNIFYING CONSTRUCT OF RELIGIOUS COGNITION AND EUDAIMONIC WELL-BEING AMONG CHRISTIAN ADOLESCENTS
Theory of mind (ToM) is the ability of an individual to identify or predict others emotions, thoughts, and beliefs. In the context of religious cognition and eudaimonic well-being, ToM can be understood as the cognitive process through which individuals interpret and understand religious experiences, knowledge, behaviour, attitudes, and beliefs. These variables are known for sustained psychological and religious consistency in an individual's life. Eudaimonic well-being, on the other hand, refers to the long-lasting effects on individuals mental and spiritual health, enabling them to find purpose and meaning in life, depending on the individual, religion, and society. ToM is an emerging aspect of cognitive neuroscience, rapidly expanding its field to evolution, brain imaging, and religious cognition. The period of adolescence is when adolescents are put into a turbulence of terrible confusion about their identity, beliefs, and autonomy. A thorough understanding of ToM based on religious cognition will foster adolescents' spiritual and mental health. This article connects ToM to religious cognition and the eudaimonic well-being of adolescents in Christian traditions. We propose that ToM could illuminate the relationship between religious cognition and eudaimonic well-being and provide a deepened understanding of these variables in psycho-spiritual therapy. This article also reveals the healing role of ToM on religious cognition and eudaimonic well-being during adolescence and the importance of focusing on spiritual and mental health as developmental assets that can potentially influence them in the future. 2024 Journal of Dharma: Dharmaram Journal of Religions and Philosophies (DVK, Bangalore). -
Social-cognitive Skills Training on Interpersonal Understanding of Social Norms During Adolescence
Background: Social-cognitive skills training (SCST) in a therapeutic setup can result in more positive outcomes when incorporated with psychotherapy, especially among adolescents with minor social-cognitive impairments in their social interactions. It may result in multifarious benefits to mitigate their social-cognitive dysfunction. This study aimed to identify the effects of SCST on interpersonal understanding of social norms in adolescents with low social cognition. Methods: In this quasi-experimental research, 80 adolescents (1019 years) with low social cognition, no previous experience of skills training, and absence of any psychological disorders, especially those that affect their social-cognitive functioning, with assent from the participants and written informed consent from the parents/guardian and a score below 58 on the Need For Social-Cognition Scale, were included. They were randomly allocated into SCST or waitlist control group. SCST consists of 20 sessions with indoor activities, games, and discussions, and it has been arranged for 1 hour per 3 days a week for 3 months. Edinburgh social cognition test (ESCoT) was used to assess the degree of interpersonal understanding of social norms among adolescents as part of pre and posttests. Results: The Wilcoxon Sign Ranked Test showed that the interpersonal understanding of social norms after SCST is significantly higher than the interpersonal understanding of social norms SCST with a large effect size. The mean (standard deviation) scores in the ESCoT test improved significantly (P < 0.001) following [W = 0.001, P <.001, r = 1.000]. Conclusion: SCST effectively improves the interpersonal understanding of social norms, an essential developmental milestone during adolescence. It highlights the importance of focusing on mental health as a developmental asset that can influence social-cognitive development in the future. 2024 The Author(s). -
Unlocking eudaimonic well-being: Assessing the impact of adolescent social cognitive skills training
Eudaimonic well-being (EWB) has long-lasting effects on individuals' mental health, enabling them to find purpose and meaning in life, depending on the individual and society. Social cognitive skills training constitutes a new aspect of the adolescent's social development, including three domains: cognitive ToM, affective ToM, and an inter-intra-personal understanding of social norms. This chapter identifies the effectiveness of A-SCST on eudaimonic well-being (EWB) during adolescence. A quasi-experimental research design was used in this study. The authors administrated the PWB-18 scale as a screening tool and the PWB-42 item scale as an outcome measure. Seventy-four participants and adolescents participated in this study. This study confirmed that A-SCST has a positive outcome on the eudaimonic well-being of adolescents post-training with a large effect size, t =-13.0, df = 35, p <.001, r =-2.17 in the experimental group. The A-SCST has successfully improved the eudaimonic well-being of adolescents. 2024, IGI Global.