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Self compacting concrete for slip form paving
International Journal of Research in Engineering and Technology, Vol-4(7), ISSN-2319-1163 -
Divorce prevention programme an intervention based on qualitatively derived psychological themes from newlywed distressed and divorced couples
This study has aimed to develop a competent intervention program as a preventive measure to tackle the increasing divorce rate in the current Indian scenario. Towards this end, the study has been arranged in three phases, with specific objectives guided by specific research questions in each phase. Holding pragmatic philosophical stance, a mixed method framework has directed the entire study, precisely, exploratory mixed design. newlineThe first phase of the study has focused on investigating the in-depth psychological components or etiology of marital distress and divorce in the problem context. Using an Interpretative Phenomenological Analysis (IPA) design, the lived marital experiences of 14 separated and 36 divorced (n=50) newlywed participants has been rigorously explored. Five superordinate themes along with 23 subordinate and 35 emergent themes have been derived in the data analysis, as reasons for marital distress and divorce in newlywed couples. newlineThe challenge of the second phase was to spin a proficient intervention program that is competent to address the identified reasons for marital distress, during the phase-one of the study. Towards this target, the theoretical framework developed by Hughes (1994, 2012 and 2014), Framework for Developing Family Life Education Programme is the model utilized. Following the five steps in the Hughes s framework, the intervention program has been designed and titled Divorce Prevention Programme (DPP). Finally, the phase three task of the study includes experimentation over the immediate and short-term (two-month) effect of the DPP as to what extent marital satisfaction and consummate love would improve to prevent divorce. The pretest, posttest experimental, and waitlist control group design was utilized with a two months follow-up with the experimental group. -
Psychological Components for Marital Distress and Divorce in Newlywed Indian Couples
The personal and family consequences of the ever-increasing ratio of divorce have focused global attention on formulating tactics to avert marital breakdown. However, the increase in the rate of divorce cases indicates that its core reasons have not yet been tackled. The most recurrently asked question in the literature around divorce is this: Why do couples shatter so soon, even after marrying with high prospects? This study endeavors to find answers for this question from a family psychological perspective. Using a basic interpretative qualitative method and phenomenological research paradigm, this study has provided very personal experiences of 20 newlywed divorced participants and also their sole vision on crucial key psychological factors for marital distress and divorce. One superordinate theme derived in the analysis involves intrapsychic resistance to accommodate life cycle transitions. This research has vital inferences for identifying the challenges faced by contemporary couples on the newlywed life cycle transition. , Copyright Taylor & Francis Group, LLC. -
Priority-driven Unbalanced Transportation Problem (PUTP) to obtain better Initial Feasible Solution
In this paper, we tackle the Priority-driven Unbalanced Transportation Problem (PUTP), a scenario where total demand exceeds total supply. An innovative algorithm, the Penalty-driven Priority-driven Unbalanced Transportation Problem (PPUTP) is introduced to solve this challenge. PPUTP allocates supplies to high-priority demands by computing penalties and sequentially addressing the most penalized demands, thereby ensuring priority demands are met efficiently. A comparative analysis with Vogel's Approximation Method (VAM) across various problem sets ranging from 5x5 to 50x50 dimensions demonstrates the efficiency of our algorithms. PPUTP consistently shows lower percentage increments from the optimal solution, indicating its robustness in providing near-optimal solutions. This study highlights the importance of algorithm selection based on problem set dimensions and complexity in Priority-driven Unbalanced Transportation Problem, with PPUTP emerging as a versatile and robust solution across various scenarios. 2024 IEEE. -
A Heuristic Approach to Resolve Priority-Driven Unbalanced Transportation Problem (PUTP)
This research addresses the priority-driven unbalanced transportation Problem (PUTP), characterized by a situation where the overall demand surpasses the available supply. We propose the Max-flow Min-cost Priority-driven Unbalanced Transportation Problem (MMPUTP) as a heuristic approach to handle this issue effectively. The strategy of MMPUTP focuses on optimizing resource allocation and reducing costs, making it highly effective in fulfilling high priority needs in a cost-efficient manner. Through a comparison with Vogel's Approximation Method (VAM) over different sets of problems ranging in size from 5?5 to 50?50, the effectiveness of the MMPUTP algorithm is evident. The findings underscore the significance of choosing the right algorithm based on the size and complexity of the problem set in the context of the Priority-driven Unbalanced Transportation Problem, with MMPUTP proving to be a flexible and reliable option in various situations. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024. -
A study on nanoliquid flow with irregular heat source and realistic boundary conditions: A modified Buongiorno model for biomedical applications
Titanium dioxide plays a vital role in cancer therapy methods (including photothermal therapy and photodynamic therapy), skincare products, heat exchangers, and car radiators. Therefore, the dynamics of the TiO2 nanomaterial with H2O as basefluid over a nonlinearly stretched surface is investigated. For realistic nanoliquid modeling, the conventional Buongiorno model has been improvised (called modified Buongiorno model [MBM]) by incorporating the effective thermophysical properties of the nanoliquid. Experimentally derived correlations of the thermal conductivity and dynamic viscosity of the nanofluid are utilized. The significance of passive control of nanoparticles is also studied. The heat transfer analysis includes the mechanism of Rosseland heat flux and exponential heat source. Similarity theory is used to obtain nonlinear ordinary differential equations (ODEs) from the governing partial differential equations which are solved numerically using bvp5c, a finite difference-based routine in MATLAB. Further, the heat transfer rate is statistically scrutinized for the consequence of magnetic field (Formula presented.), thermal radiation (Formula presented.) and exponential heat source (Formula presented.) by employing Response Surface Methodology (RSM) and sensitivity analysis. The temperature of nanofluid ascends with the exponential heat source, thermal radiation, and thermophoresis aspects. Furthermore, when the MBM is utilised, the thermal field of the nanofluid is greater than when the classic Buongiorno model is used. The rate of heat transfer correlates positively with radiative heat flux. The exponential heat source exhibits a negative sensitivity towards the rate of heat transfer. 2021 Wiley-VCH GmbH -
Bulirsch-Stoer computations for bioconvective magnetized nanomaterial flow subjected to convective thermal heating and Stefan blowing: a revised Buongiorno model for theranostic applications
Theranostics is a novel procedure that integrates therapy and diagnosis in a single platform. For its application in theranostic and photothermal therapy for melanoma skin cancer, the hydromagnetic bioconvective flow of a nanomaterial over a lengthening surface is investigated. Realistic nanomaterial modeling is achieved by incorporating passive control of the nanoparticles at the boundary. The impact of the Newtonian heating and Stefan blowing constraints are also accounted. Apposite transformations are employed and then transmuted nonlinear ODEs are resolved using the Bulirsch-Stoer and Newton-Raphson methods. The influence of Stefan blowing parameter (Formula presented.), the magnetic field parameter (Formula presented.), and the Biot number (Formula presented.) on the heat transfer rate has been scrutinized and optimized utilizing the response surface methodology (RSM). The sensitivity of heat transport rate is computed. It is found that the Newtonian thermal condition intensifies the nanomaterial temperature that serves asa crucial role in the termination of cancerous cells or tumors. The maximum drag coefficient is experienced for the insignificant intensity of the magnetic field and Stefan blowing. Further, the heat transfer rate is maximum when the Stefan blowing and Biot numbers are at a high level and the Hartmann number is at a low level. 2022 Informa UK Limited, trading as Taylor & Francis Group. -
How safe is the information in this digital era? –A critical review of the status quo /
Journal of Management Research And Analysis, Vol.5, Issue 1, pp.5-9, ISSN No: 2394-2770. -
Education in TQM Way
The International Journal's Research Journal of Social Science & Management, Vol-2 (8), pp. 1-4. ISSN-2251-1571 -
AUTONOMOUS IOT MOVEMENT IN HOSTILE AREAS USING ROBOTICS AND DEEP FEDERATED ALGORITHMS
Innovative solutions are required when Internet of Things (IoT) devices are deployed in hostile or difficult locations to ensure dependable and effective operation. In order to enable autonomous IoT mobility in such challenging circumstances, this study suggests a novel approach integrating robotics and deep federated algorithms. Robotics and IoT can work together to create a system that can adapt to dangerous environments, extreme weather conditions, and unexpected terrain. Deep federated algorithms further improve system performance by facilitating dispersed device collaboration for learning while protecting data privacy. The suggested framework covers the issues of communication stability, energy optimization, and real-time decision-making. We illustrate the practicality of this strategy in strengthening the dependability and efficiency of IoT deployments in hostile situations through simulations and tests. 2023 IEEE. -
HER2 siRNA Facilitated Gene Silencing Coupled with Doxorubicin Delivery: A Dual Responsive Nanoplatform Abrogates Breast Cancer
The present study investigated the concurrent delivery of antineoplastic drug, doxorubicin, and HER2 siRNA through a targeted theranostic metallic gold nanoparticle designed using polysaccharide, PSP001. The as-synthesized HsiRNA@PGD NPs were characterized in terms of structural, functional, physicochemical, and biological properties. HsiRNA@PGD NPs exposed adequate hydrodynamic size, considerable ? potential, and excellent drug/siRNA loading and encapsulation efficiency. Meticulous exploration of the biocompatible dual-targeted nanoconjugate exhibited an appealing biocompatibility and pH-sensitive cargo release kinetics, indicating its safety for use in clinics. HsiRNA@PGD NPs deciphered competent cancer cell internalization, enhanced cytotoxicity mediated via the induction of apoptosis, and excellent downregulation of the overexpressing target HER2 gene. Further in vivo explorations in the SKBR3 xenograft breast tumor model revealed the appealing tumor reduction properties, selective accumulation in the tumor site followed by significant suppression of the HER2 gene which contributed to the exclusive abrogation of breast tumor mass by the HsiRNA@PGD NPs. Compared to free drugs or the monotherapy constructs, the dual delivery approach produced a synergistic suppression of breast tumors both in vitro and in vivo. Hence the drawings from these findings implicate that the as-synthesized HsiRNA@PGD NPs could offer a promising platform for chemo-RNAi combinational breast cancer therapy. 2024 American Chemical Society. -
An Efficient Technique for One-Dimensional Fractional Diffusion Equation Model for Cancer Tumor
This study intends to examine the analytical solutions to the resulting one-dimensional differential equation of a cancer tumor model in the frame of time-fractional order with the Caputo-fractional operator employing a highly efficient methodology called the q-homotopy analysis transform method. So, the preferred approach effectively found the analytic series solution of the proposed model. The procured outcomes of the present framework demonstrated that this method is authentic for obtaining solutions to a time-fractional-order cancer model. The results achieved graphically specify that the concerned paradigm is dependent on arbitrary order and parameters and also disclose the competence of the proposed algorithm. 2024 The Authors. -
Synthesis of novel Se capped polymer photocatalyst mobilized under visible light: Exploration of piezoelectric effect and charge transfer mechanism in polymer matrix
The present study has shown the original and promising usage of zero valent metallic selenium in the photocatalysis process under visible light. Selenium (Se) dispersed into the Polyvinyl Chloride (PVC) and Polyvinylidene Fluoride (PVDF) polymeric solution (Se-PVC/Se-PVDF matrix) by reflux-calcination method. The SEM and TEM results shows Se nanoparticles are well disseminated into the polymer solution and homogenously mixed to avert cluster of particles. The results shows that Se-PVC matrix effectively enhanced the generation rate of photoinduced electrons and reduced transfer resistance endorsed by photoluminescence, transient photocurrent, and electrical impedance spectroscopy techniques. Further, photocatalytic activity studied in presence of potassium iodide (KI) and isopropyl alcohol (IPA). The decrease in photocatalytic activity order is: Se-PVC > Se-PVDF > Se-PVC + KI > Se-PVDF + KI > Se-PVC + IPA > Se-PVDF + IPA systems. The piezoelectricity phenomena and Surface Plasmon Resonance (SPR) effect proposed for Se-PVC/Se-PVDF matrix and correlated with photocatalytic mechanism for the degradation of Methyl Orange (MO). 2023 Elsevier B.V. -
Khadi Textiles, Women and Rural Development: An Analysis from Past to Present
The paper aims at bringing out the cultural, economic, and political importance that Khadi has for India from pre-colonial times, during the colonial rule and after independence till the present times. The paper brings out Khadis potential in rural development by solving the pressing concerns of unemployment and working conditions in developing countries like India. In spite of this, Khadis potential at rural development is subsided by the contemporary threats the industry faces due to the different agents of neoliberalism, discussed in the paper. The questionnaire report on workers collected at the Cheriyakonni production unit and information collected at the District Project Office Trivandrum; brings out that rural women are the largest workforce victims of these threats, as the industry is slowly showing signs of degradation. Methodology: The research paper is based on both quantitative and qualitative data analysis. Data is collected from Kerala Khadi and Village Industries Board (KVIB) Project Office Thiruvananthapuram through interviews. Questionnaire is conducted on workers of Cheriyakonni Production Unit, Thiruvananthapuram that operates under the board. 2022 Informa UK Limited, trading as Taylor & Francis Group. -
Understanding the House Money Effect: A Systematic Review
The house money effect is the tendency of individuals to exhibit risk-seeking behavior after a prior gain. Individuals differentiate their perceived gains with own money. This behavioral bias influences human behavior in future decision-making. This review examines the implications of the house money effect on an individual investors financial decision-making. Our study adopts a systematic review approach to understand and extensively synthesize the existing literature. The study considered 34 articles from the Scopus database. The study provides an overview of the literature regarding theories, methodology, research opportunities, and developments in the house money effect. The study points out the situational factors influencing the house money effect and the association of the bias with other behavioral biases. This review identifies the gaps in the literature and provides directions for future research to deepen the understanding of the effect of house money on individual investors. This study builds a strong framework for future research. The Author(s), under exclusive license to Springer Nature Switzerland AG 2024. -
Frontline medical professionals in distress - Doctor heal thyself
Covid has changed our lives in many ways. People are scared to even step out of their houses, but health care workers have no option but to continue to work and care for the sick. Health care workers play a vital role in providing care to the infected persons, working beyond their capacities and risking their own lives. There is a lot of stress involved in the medical profession, and the pandemic made it worse. Each frontline health worker is at risk of getting infected with Covid during work and carrying it to their families, causing a lot of anxiety and mental health issues among the health care workers. According to a recent by the US Centers for Disease Control and Prevention (CDC), more than half of public health workers have reported symptoms of at least one mental health condition like depression, anxiety, and post-traumatic stress disorder (PTSD) in the recent past. A recent study among 422 doctors revealed 63.5% symptoms of depression, and 45% symptoms of stress, among frontline COVID-19 doctors. Physicians who perceived organizational problems related to procedural and informational justice were exposed to high levels of occupational stress. Every physician should have a personal doctor, and he or she has to seek suitable help as needed. The health care workers' stress is mainly associated with work stress as they are expected to work on a war footing and get very little time to spend with their families. There is a need to set up good psychiatric care for the medical professionals in the hospitals. The administrators of the hospitals should frequently check on the health and well-being of their employees. This article attempts to provide strategies to hospital administrators to help medical professionals reduce their stress levels. 2022 -
Getting Rid of Organizational Complacency in a Dynamic Environment
This case investigates the external consultants organizational diagnosis aimed at understanding the imperative for change within Infotics Solutions. It explores various concepts, including the nature of planned change and the resistance exhibited by employees. Emphasis is placed on the necessity of a comprehensive organizational diagnosis before embarking on the change process, highlighting the pitfalls of relying solely on a leaders intuition and experience to initiate change. Furthermore, the case underlines the implementation of human resource management interventions and their significance from both employee and organizational standpoints. It addresses the protagonists recognition of the need for external consultants expertise to grasp the problem and devise a strategic change process. The consultants methodical approach to planning change across different themes to achieve organizational objectives is elucidated, featuring the importance of employing the right diagnosis technique in situations where the problem is unclear. The case also showcases the consultants analytical approach to problem-solving, offering specific solutions tailored to the organizations needs. Ultimately, it illustrates the challenges faced by organizations that lean heavily on past successes and struggle to adapt to evolving environmental demands. Lastly, the case highlights the importance of analysing survey results and implementing theme-based interventions to address the issues confronting the organization and its employees at Infotics Solutions. 2024 Lahore University of Management Sciences. -
Lightweight Anti DDoS Security Tool: Edge Level Filtering in SDN using P4
Software Defined Network (SDN) which has a promising future in satellite communication was first introduced as the solution to solve problems existing in the traditional network architecture. So far in SDN, mitigation strategies employed hardware installation or software solution which is heavily dependent on SDN controllers. The disadvantage of these approaches is the a) cost for implementation, b) intensive resource usage, and 3) costly optimization strategy necessary to enhance SDN performance. This research aims to fill the gap of the previously seen defense mechanism by enabling edge-level filtering without involving the control plane. By implementing filtering functions in edge switches, it can provide an efficient and effective defense layer in SDN network systems so that SDN switch can become the first line of defense against packet injection attacks. The proposed solution, Lightweight Anti-DDoS Software (LADS) focuses on lightweight workloads and provisioning of effective filtering mechanism to allow SDN switches to drop and block malicious packets sent by attackers. It utilizes Programming Protocol-independent Packet Processors (P4) programming language to create custom functionalities in SDN switches. P4 allows SDN switches to conduct host authentication and malicious packet filtering as well as blacklisting to isolate attackers. Simulation result proves that LADS efficiently manages malicious activities and maintains network performance during attacks at the data plane independent of SDN controller. 2023 IEEE. -
Health Crises and Digitalization: Digital Health
The rapid advancement of technology reshaped sectors, and the concept of digital health encompasses a broad spectrum of innovations, including telemedicine, technologies engagement and provided critical support systems around the world faced unprecedented challenges, digital health solutions emerged as vital tools for maintaining the continuity of care, improving accessibility, and enhancing the overall efficiency of health services. The COVID- 19 pandemic catalyzed a massive shift towards digital health, as physical severely limited facilities. Telemedicine platforms surged in popularity, allowing safety shifts was ongoing management. Digital technologies, could maintain regular contact with these patients, adjusting treatment plans and offering support. Moreover, digital health tools facilitated rapid data collection and analysis, enabling more of the evolving crisis. For instance, played a crucial symptom tracking contact tracing, helping to identify outbreaks and manage community spread. Additionally, allowed policymakers to inform resource allocation public health strategies. Copyright 2025 by IGI Global Scientific Publishing. All rights reserved. -
Smart Synergies: Integrating Technologies for Sustainable Urban Planning and Smart City Education - A Case Study
The study focuses on the use of intelligent technologies in sustainable town planning and smart city learning, both of which are needed to solve new urban problems. According to recent studies, there is a knowledge gap about studies related to smart urban planning and smart city studies The purpose of this study is to propose a way of smart city education and sustainable urban planning with necessary modern technology prioritizing citizen engagement and environmental sustainability. The principal objective of the study is to provide research-based recommendations on incorporating field-based activities in the course of smart city education. To accomplish this objective, the study uses five in-depth case studies. Each of the three case studies are real case. The potential implication of the study is to transform urban planning education, thus enhancing the participation of citizens in urban and city development. The findings provide a holistic approach by integrating technology, urban planning, and sustainability to improve urban living for sustainable, future smart city developments. This research hopes to provide insight into how new and existing technologies can create improved and more efficient urban areas across the globe. 2025 IEEE.