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This study examines how health-conscious consumers utilize nutrition facts panel labels when purchasing food products, focusing specifically on the dimension of ethical evaluation. It aims to understand how ethical considerations influence the decision-making process of consumers who prioritize health. By analyzing the impact of ethical evaluation on label usage, the study sheds light on the significance of ethics in consumer behavior in the context of purchasing packaged edible oil.

Empirical data were collected using an online survey and a non-ordered questionnaire. In total, 469 valid responses were obtained. The study used SPSS version 27.0 and SmartPLS version 3 for demographic analysis and structural equation modeling.

The findings suggest that three factors – perceived benefits, perceived threats, and nutrition self-efficacy, positively impact the use of NFP labels. However, perceived barriers negatively influence the use of NFP labels. In additionally, ethical evaluation mediates the usage of NFP labels.

In the health belief model, ethical evaluation functions as a mediator and has a greater influence on NFP label use. This study provides a framework for marketers to promote consumer health consciousness by encouraging them to incorporate NFP labels.

This study is one of the first attempts to demonstrate that ethical evaluation mediate health beliefs and the use of nutrition labels.

This study aims to explore the “psychological contract of safety” (PCS), a key factor in the safety climate (SC), which relies on the behavioral safety actions of workers at construction sites. While numerous factors have been identified in various sectors across different countries, there is a consensus among researchers that there is a dearth of common assessment factors specifically for the Indian construction industry (ICI). Therefore, this study undertakes a systematic review of existing literature to identify the factors that determine PCS in construction and to ascertain the relative importance index (RII) of these variables and their interrelationships using structural equation modelling (SEM).

A structured survey was conducted among 420 professionals in the ICI to collect data. This data was then analyzed using descriptive and inferential statistical methods to derive results.

The findings of the study indicate that PCS factors have a significant impact on the construction industry (CI). The inferential analysis ranks “Safety System” as the top factor with the highest RII value. The chi-square results highlight two key SC factors that enhance and regulate an organization’s safety performance. The SEM results reveal that SC factors contribute to the improvement of PCS and influence worker safety behavior.

The outcomes of this study will be beneficial for stakeholders aiming to improve safety at construction sites and enhance safety performance by fulfilling the mutual safety obligations of employers and employees and by improving safety norms, procedures and policy-making. This paper also provides a theoretical framework for scholars to reassess the results in various contexts.

Urban heritage management is motivated by the alarming rise in destruction of historic buildings; the implementation of pointless urbanization plans and uncontrolled commercial development threatening to overwhelm our historic built heritage. Hence, there is an immediate need for urban heritage planning in historic towns, especially in India where urban growth is rampant. The purpose of this paper is to examine how development in the historic temple town of Kumbakonam can be managed by using a holistic approach that preserves the town’s historic flavor, sacred traditions and built heritage.

The historic center of Kumbakonam has been surveyed and is the focus of this study. Utilizing a case study methodology, the authors made multiple field visits to document the special heritage character of the town, conducted interviews with people living in the study area and evaluated the existing policies and guidelines for development of Tamil Nadu in view of the holistic approach.

The study reinforced the belief that the historic temple town of Kumbakonam has significant urban heritage worthy of preservation. However, due to chaotic and ill-planned urban development, changing land use, intrusion of contemporary architectural styles, commercialization and the lack of strong policy guidelines for holistic management, the special heritage character of the town is threatened with continued destruction.

This research on Kumbakonam can help urban planners to develop viable heritage management programs for other historic temple towns of Tamil Nadu. The authors describe and evaluate some guidelines for retaining the social and cultural flavor as well as the built heritage of towns like Kumbakonam by taking a holistic approach.

Up to now, there has been no attempt to come up with comprehensive management guidelines for integrating the unique urban heritage characteristics of the historic temple towns of Tamil Nadu in plans for urbanization.

A mobile ad hoc network (MANET) enables providers and customers to communicate without a fixed infrastructure. Databases are extended on MANETs to have easy data access and update. As the energy and mobility limitations of both servers and clients affect the availability of data in MANETs, these data are replicated. The purpose of this paper is to provide a literature review of data replication issues and classify the available strategies based on the issues they addressed.

The selected articles are reviewed based on the defined criteria. Also, the differences, the advantages and disadvantages of these techniques are described. The methods in the literature can be categorized into three groups, including cluster-based, location-based and group-based mechanisms.

High flexibility and data consistency are the features of cluster-based mechanisms. The location-based mechanisms are also appropriate for replica allocation, and they mostly have low network traffic and delay. Also, the group-based mechanism has high data accessibility compared to other mechanisms. Data accessibility and time have got more attention to data replication techniques. Scalability as an important parameter must be considered more in the future. The reduction of storage cost in MANETs is the main goal of data replication. Researchers have to consider the cost parameter when another parameter will be influenced.

Data replication in MANETs has been covered in different available sources such as Web pages, technical reports, academic publications and editorial notes. The articles published in national journals and conferences are ignored in this study. This study includes articles from academic main international journals to get the best capability.

The paper reviews the past and the state-of-the-art mechanisms in data replication in MANET. Exclusively, data replication’s main goal, existing challenges, research terminologies and mechanisms in MANET are summarized using the answers to the research questions. This method will help researchers in the future to develop more effective data replication method in MANET.

The purpose of this study is to examine the effect of individual components' reliability on a system's reliability. The system refers to the Financial Management Information System (FMIS), the US Federal Highway Administration's (FHWA) web‐based project approval and tracking software. Its components are 61 project information fields.

The analysis would view each highway project‐funding request as an activity with cycle‐dependent performance for which success probability can be calculated as Reliability, R. The reliability analysis of the 61 FMIS fields results in a series system with R_sys the “estimated reliability” of finding “true” values in all 61 information fields during one highway‐related project funding authorization review.

Of an estimated 200 projects approved, there was previously estimated a 50 percent to 80 percent unreliability rate, while the study found an unreliability rate of approximately 80 percent.

Owing to the nature of federal government software, data can be very difficult to acquire in this working environment, but a simple calculation was relatively successful in confirming the “estimated reliability” of finding “true” values and showing how the reliability could dramatically decrease.

The paper contributes to the applicability of reliability analysis to project approval software, showing the progression from estimated data to bounding the estimate using reliability theory.

Using a life story approach, I explore Kathy Charmaz's research journey marked by her profound motivation to utilize the humanizing potential of human sciences research as she developed the constructivist version of grounded theory (CGT). The experiential and social divides that she observed since her own childhood between the ill person and medical professionals or other stakeholders remained etched in her consciousness. They generated a silently but firmly held moral responsibility toward creating humanizing spaces for the voices of ill persons as well as for people marginalized by social injustice or inequity. The ontological shift Charmaz introduced in CGT enabled recovering the heretofore silenced voices of participants from the clutches of a claimed “objective truth” in the research findings of positivist research.

In her subsequent works, Charmaz also advocated and illustrated the need to use critical reflexivity to more meaningfully understand the hierarchies within and between social worlds as well as how researcher-participant relationships often shape participants' experiences. In doing so, she also demystified the colonialist nature of qualitative research methodologies, including grounded theory (GT) approaches. In such practices, implicitly individualist ideology is used to legitimate neoliberal globalization to help sustain the geopolitical economic power of a few countries over the rest of the world.

Lean manufacturing (LM) is a leading philosophy used by organizations to become inevitable in the challenging market. However, prior research showed evidence that 90% failure rate of LM within 10 years of implementation, hence this study is to undertake a systematic literature review on the failure of LM implementation.

This study was conducted with the guidance by review protocol, research questions’ formulation, systematic searching based on identification, screening and eligibility using Scopus and Web of Science databases, quality appraisal, data exclusion and analysis.

Derived from 15 sub-themes, five main themes were discovered based on the thematic analysis to answer the research question on “What strategies should manufacturers do to prevent the failure of LM implementation?”, namely (1) leadership, (2) culture, (3) knowledge, (4) resources and (5) suppliers.

WoS and Scopus were employed in this review, despite there are 14 databases with the ability to search for potential articles in them. Mixed-Method Appraisal Tool (MMAT) was used to evaluate the quality control process, however using various quality assessment techniques helps to search for appropriate review objectives.

The primary emphasis of this study can be used as a reference by the manufacturers to ensure that LM implementation is a success story to gain a competitive advantage.

Despite a large body of literature on LM, there has been little attempt to review this study in a systematic approach, discover trends and generate thematic potential on the failure factors of LM, making it difficult for academics to replicate and interpret.

The purpose of this study is to provide that porous media and viscous dissipation are crucial considerations when working with hybrid nanofluids in various applications.Recent years have witnessed significant progress in optimizing these fluids for enhanced heat transfer within porous (Darcy–Forchheimer) structures, offering promising solutions for various industries seeking improved thermalmanagement and energy efficiency.

The first step is to transform the original partial differential equations into a system of first-order ordinary differential equations (ODEs). The fourth-order Runge–Kutta method is chosen for its accuracy in solving ODEs. The present study investigates the free convective boundary layer flow of hybrid nanofluids over a moving thin inclined needle with the slip flow brought about by inclined Lorentz force and Darcy–Forchheimer porous matrix, viscous dissipation.

It is found that slip conditions (velocity and Thermal) exist for a range of the natural convection boundary layer flow. In the hybrid nanofluid flow, which consists of Al₂O₃ and Fe₃O₄ are nanoparticles, H₂O − C₂H₆O₂ (50:50) are considered as the base fluid. The consequence of the governing parameter on the momentum and temperature profile distribution is graphically depicted. The range of the variables is 1 ≤ M ≤ 4, 1 ≤ d ≤ 2.5, 1 ≤ δ ≤ 4, 1 ≤ Fr ≤ 7, 1 ≤ Kr ≤ 7 and 0.5≤λ ≤ 3.5. The Nusselt number and skin friction factors are used to calculate the numerical values of various parameters, which are displayed in Table 4. These analyses elucidate that upsurges in the value of the Fr noticeably diminish the momentum and temperature. It is investigated to see if the contemporary results are in outstanding promise with the outcomes reported in earlier works.

The results can be very helpful to improve the energy efficiency of thermal systems.

The hybrid nanofluids in heat transfer have the potential to improve the energy efficiency and performance of a wide range of systems.

This study proposes that in the combined effects of hybrid nanofluid properties, the inclined Lorentz force, the Darcy–Forchheimer model for porous media and viscous dissipation on the boundary layer flow of a conducting fluid over a moving thin inclined needle. Assessing the potential practical applications of the hybrid nanofluids in inclined needles, this could involve areas such as biomedical engineering, drug delivery systems or microfluidic devices. In future should explore the benefits and limitations of using hybrid nanofluids in these applications.

This paper aims to describe how social capital is mobilized in the mediation of periurban water insecurity induced by urbanization and climate change. Investing in social capital through the process of creating mechanisms for civic engagement is an important means of building resilience of periurban communities.

This paper draws on ethnographic and action research. The main sources of data were direct observation of water appropriation and access and semi-structured interviews. Convenience, snowball and theoretical sampling were used.

The residents of periurban Gurgaon have lost access to water on account of urbanization and climate change. In this context, they mobilize social relationships to collectively improve their access to water. Norms of cooperation and kinship play an important role in the mediation of water insecurity. Creating social capital by building platforms for civic engagement helped to improve their water security.

While there has been much interest in issues of periurban water insecurity, the role of social capital in the mediation of water insecurity has received scant attention. At the same time, while scholars have been interested in the role of social capital in adapting to the impacts of climate change, it has scarcely been studied in a periurban context. This paper seeks to bridge this research gap.

The purpose of this paper is to propose and validate a robust industrial control system. The aim is to design a Multivariable Proportional Integral controller that accommodates multiple responses while considering the process's control and noise parameters. In addition, this paper intended to develop a multidisciplinary approach by combining computational science, control engineering and statistical methodologies to ensure a resilient process with the best use of available resources.

Taguchi's robust design methodology and multi-response optimisation approaches are adopted to meet the research aims. Two-Input-Two-Output transfer function model of the distillation column system is investigated. In designing the control system, the Steady State Gain Matrix and process factors such as time constant (t) and time delay (?) are also used. The unique methodology is implemented and validated using the pilot plant's distillation column. To determine the robustness of the proposed control system, a simulation study, statistical analysis and real-time experimentation are conducted. In addition, the outcomes are compared to different control algorithms.

Research indicates that integral control parameters (K_i) affect outputs substantially more than proportional control parameters (K_p). The results of this paper show that control and noise parameters must be considered to make the control system robust. In addition, Taguchi's approach, in conjunction with multi-response optimisation, ensures robust controller design with optimal use of resources. Eventually, this research shows that the best outcomes for all the performance indices are achieved when Kp11 = 1.6859, Kp12 = −2.061, Kp21 = 3.1846, Kp22 = −1.2176, Ki11 = 1.0628, Ki12 = −1.2989, Ki21 = 2.454 and Ki22 = −0.7676.

This paper provides a step-by-step strategy for designing and validating a multi-response control system that accommodates controllable and uncontrollable parameters (noise parameters). The methodology can be used in any industrial Multi-Input-Multi-Output system to ensure process robustness. In addition, this paper proposes a multidisciplinary approach to industrial controller design that academics and industry can refine and improve.