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The purpose of this article is to numerically investigate the effect of casting speed on the fluid flow, solidification and inclusion motion under the influence of electromagnetic stirring (EMS) in the bloom caster mold with bifurcated submerged entry nozzle (SEN).

The electromagnetic field obtained by solving Maxwell’s equation is coupled with the fluid flow, solidification and discrete phase model using the in-house user-defined functions. An enthalpy porosity approach and Lagrangian approach are applied for the solidification analysis and non-metallic inclusions motion tracking, respectively.

Investigation shows that the casting speed and EMS significantly affect the steel flow, solidification and inclusion behavior inside the mold. Investigations are being conducted into the complex interplay between the induced flow and the SEN’s inertial impinging jet. In low and medium casting speeds, the application of EMS significantly increases the inclusion removal rate. Inclusion removal is studied for its different size and density and further effect of EMS is also reported on cluster formation and distribution of inclusion in the domain.

The model may be used to optimize the process parameter (casting speed and EMS) to improve the casting quality of steel by removing the impurities.

The effect of casting speed on the solidification and inclusion behavior under the influence of time-varying EMS in bloom caster mold with bifurcated nozzle has not been investigated yet. The findings may assist the steelmakers in improving the casting quality.

The purpose of this study is to explore how a time-varying electromagnetic stirring (EMS) affects the fluid flow and solidification behavior in a slab caster continuous casting mold. Further, the study of inclusion movements in the mold is carried out under the effect of a time-varying electromagnetic field.

A three-dimensional coupled numerical model of solidification and magnetohydrodynamics has been developed for slab caster mold to investigate the inclusions transport by discrete phase model with the use of user-defined functions. Enthalpy porosity and the Lagrangian approach are applied to analyze the behavior of solidification and inclusion.

The study shows that the magnetic field density distribution has a radial symmetry in relation to the stirrer’s center. As the EMS current intensity increases, the strength of the lower recirculation zone gradually decreases and nearly disappears at higher intensities. Additionally, the area of localized remelting zone expands in the solidification front with rising current intensity. The morphology of inclusions and EMS current intensity have a significant impact on the behavior and movement of inclusions within the molten steel.

By using the model, one can optimize the EMS parameter to enhance the quality of steel casting through the elimination of impurities and by improving the microstructure of cast that mainly depend on solidification and flow patterns of molten steel.

Until now, the use of time-varying EMS in the slab caster mold to study solidification and inclusion behavior has not been explored.

The main aim of this paper is to investigate key challenges that hinder sustainable and resilient green supply chain (GSC) building in small and medium-sized enterprises (SMEs) with respect to how they interact after the COVID era.

Using a questionnaire, policymakers and industry managers from SMEs identify the main obstacles that will affect their resilience. These issues are then discussed with 50 experienced professionals from the top management field and further divided into sustainability and gresilience challenges. The Grey-DEMATEL (Grey sets and Decision-Making Trial and Evaluation Laboratory) has been employed to assess the significance of challenges to SMEs' development of green resilience. Overall, the paper aims to build up a novel decision-making technology for the interconnectedness of green and resilience in the post-pandemic supply chain world.

The 12 sustainability and gresilience challenges highlighted by experts in the sector were analyzed. Insufficient government assistance and the handling of resources are the most significant challenges to developing a sustainable and gresilient value chain system, according to the study. The study highlights supply chain restructuring, waste reduction management, shortages of skilled manpower and insufficient knowledge of digitalization as key challenges for SMEs to prioritize.

The outcomes of this research are crucial for SMEs building resilient supply networks through the green concept. Policymakers may utilize the data to pinpoint shortcomings in the supply chain for tactical as well as strategic development and improvement.

When it comes to building green resilience and sustainability in an unpredictable business climate, the outcomes of this research will be significant for SMEs.

This investigation aims to analyze the steel-flux interface level fluctuation because of electromagnetic stirring and its process parameters in a continuous casting billet mold.

An un-coupled numerical model for electromagnetic field generation and a coupled numerical model of electromagnetic field and two-phase fluid flow have been developed. The two-phase fluid flow has been modeled using volume of fluid method, in which externally generated time-varying electromagnetic field is coupled and analyzed using magnetohydrodynamic method. Top surface standing wave stability criteria are used to study the criticality of interface stability.

Results show that application electromagnetic field for stirring increases the interface level fluctuation, specifically at the mold corners and near the submerged entry nozzle. The increase in current intensity and stirrer width barely affect the interface level. However, interface level fluctuation increases considerably with increase in frequency. Using stability criteria, it is found that at 20 Hz frequency, the ratio of height to wavelength of interface wave increases much above the critical value. The iso-surface of the interface level shows that at 20 Hz frequency, mold flux gets entrapped into the liquid steel.

The model may be used during optimization of in-mold electromagnetic stirrer to avoid mold flux entrapment and control the cast quality.

The study of mold level fluctuation in the presence of in-mold electromagnetic stirrer has rarely been reported. The criticality of stirrer process parameters on level fluctuation has not been yet reported. This study lacks in experimental validation; however, the findings will be much useful for the steelmakers to reduce the casting defects.

The purpose of present investigation is to analyze the in-mold electromagnetic stirring (M-EMS) process and the effect of stirrer frequency on fluid flow and solidification in a continuous casting billet caster mold.

A hybrid approach involving finite element and finite volume method has been used for the study. Finite element model is used to calculate time variable magnetic field, which is further coupled with fluid flow and solidification equations for magneto-hydrodynamic analysis with finite volume model.

Results show that though superheat given to steel before its entry into the mold is quickly removed, solid shell formation is delayed by the use of M-EMS. Final solid shell thickness, however, is slightly reduced. Increase in frequency is found to increase the magnetic flux density and tangential velocity of liquid steel and decrease in diameter of liquid core.

The work is of great industrial relevance. The model may be used to design industrial setup of in-mold electromagnetic stirrer and process could be analyzed and optimized numerically.

The paper evaluates the influence of M-EMS and its frequency on solidification and flow behavior in the continuous casting mold. The iso-surface temperatures from pouring temperature to liquidus temperature inside the mold have been shown. The findings may be useful for the steelmakers to reduce the defect in continuous casting.

Prisoners are at a higher risk of HIV infection compared to the general population. The purpose of this study is to estimate the prevalence of HIV and related risk behaviours among inmates of the Central Prisons in four states of North India.

The HIV sentinel surveillance was conducted in seven Central Prisons in four states of North India from February to April 2019. Four hundred inmates were included from each prison. The interviews were conducted at the Integrated Counselling and Testing Centre located within the prison premises. The Ethics Committee of the National AIDS Control Organization, New Delhi, granted ethical approval before the start of the surveillance.

Overall, 2,721 inmates were enrolled in this study. The mean (SD) age was 38.9 (13.9) years. One-third of prison inmates had comprehensive knowledge about HIV/AIDS. The proportion of convict (54%) and undertrial (46%) inmates was almost equal. The overall prevalence of HIV infection among inmates was 0.96% (95% CI 0.65–1.40). The odds of being HIV positive were significantly higher in never married inmates, undertrials, inmates who were in the prison for more than three months to one year, inmates incarcerated for multiple times, inmates with history of injecting drug use and inmates with history of intercourse with a commercial sex worker.

The findings from the very first HIV sentinel surveillance in central prisons in North India have been presented in this paper. This has huge implications for future policy decisions.

This paper investigates how stockist brand equity is created in the unorganized pharma retail sector in emerging markets despite the absence of any proactive brand-building efforts by distribution firms (stockists). In addition, this study also aims to unravel the sources of stockist brand equity.

Drawing from grounded theory, a qualitative research design using semi-structured interviews was conducted, and a theoretical saturation approach was used for this purpose. The retailer–stockist (business-to-business [B2B]) relationship in the Indian pharmaceutical market context was used as the study context.

The findings show that in the absence of any brand-building activities, stockists’ sales representatives play an important role in creating stockist brand awareness. In addition, word of mouth from other retailers also plays a minor role. Rational and emotional brand associations which are strong, favorable and unique are created 1) directly by the services provided by stockists, which includes product availability, deliverability, accuracy in billing and batch numbers, credit facilities and discounts, handling issues such as product expiry, and 2) indirectly by the services provided by stockists’ sales representatives which includes their frequency of visits, proactive customer orientation rather than sales orientation, fulfilling commitments and relationship with retailers. The strength of the retailer–stockist (B2B) relationship also depends on retailer-driven factors and other external factors discussed in this study.

Strong stockist brand equity helps build trust and loyalty with pharmacies, ensuring a consistent and timely supply of medicinal products, which will benefit their end consumers or society.

This study identifies the antecedents determining the strength of the retailer–stockist (B2B) relationship, a precursor for establishing retailer-based stockist brand equity in the unorganized sector. This study also highlights the consequences of establishing strong retailer-based stockist brand equity.

This paper aims to investigate the effect of bank monitoring on conditional conservative accounting of Indian listed firms. Drawing on bank monitoring and relationship lending literature, the study hypothesizes that monitoring by a single bank reduces the bank’s demand for conservatism-facilitated control transfers.

The empirical design is composed of three steps. In the first step, using data on Indian firms listed in NSE and BSE for the period 2000–2019, market-based firm-year measure and accrual cash flow-based firm-year measure of conditional conservatism is estimated. In the second step, we test the hypothesis using multivariate panel regression corrected for heteroskedasticity and incorporating firm and year-fixed effects. In the third step, we test for the robustness of the results using Heckman’s correction approach.

Results indicate that firms which are monitored by a single bank tend to be less conservative. Also, the negative association between single bank monitoring and conservatism is stronger when the firm’s debt structure is dominated by bank debt.

The study’s scope does not include analyzing the influence of characteristics of the single banker monitoring the firm. Future research could investigate attributes like ownership of the banker as a possible source of variation in the relationship documented in this study.

Accounting standard-setting boards are now discouraging implementation of conservatism to avoid bias in financial reporting. This paper finds that a strong bank–firm relationship can be a possible substitute for conservatism.

The study sheds new light on the debt structure–conservatism relationship. Bank’s availability of inside information through the transaction account and its impact on lending relationships is established in the literature. However, the literature on the determinants of conservatism has not examined how the benefit enjoyed by the firm’s single banker, possessing all the information in the transaction account can lead to bank’s reduced dependence on financial statements and subsequently reduced accounting conservatism of borrowing firms.

The aim of this study is to investigate and clarify how the triple helix actors can effectively implement the concepts of Kaizen to navigate and overcome the complex obstacles brought on by the global COVID-19 pandemic.

Through broad literature reviews, nine common parameters under triple helix actor have been recognized. A regression analysis has been done to study how the triple helix actors’ common parameters impact Kaizen implementation in business operations.

The results of this study revealed insightful patterns in the relationships between the common parameters of triple helix actor and the dependent variables. Notably, the results also showed that leadership commitment (LC) emerges as a very significant component, having a big impact on employee engagement as well as organizational performance.

In addition to offering valuable insights, this study has limitations including the potential for response bias in survey data and the focus on a specific set of common parameters, which may not encompass the entirety of factors influencing Kaizen implementation within the triple helix framework during the pandemic.

The originality of this study lies in its comprehensive exploration of the interplay between triple helix actors and Kaizen principles in addressing COVID-19 challenges. By identifying and analyzing nine specific common parameters, the study provides a novel framework for understanding how triple helix actors collaboratively enhance organizational performance and employee engagement during challenging times.

Blockchain technology (BCT) is considered a promising tool to improve the productivity of construction project management. Existing research has studied its potential costs and benefits for the construction industry. However, the potential costs and benefits of BCT failed to be compared as actual costs and benefits of specific applications for stakeholders. To fill this gap, this study seeks to analyze the cost-effectiveness of BCT-based applications in construction project management.

This study is conducted with a customized systematic literature review based on transaction cost theory to enable qualitative comparison. With a deliberately designed structure confining extraneous variables, the costs and benefits of BCT-based applications are identified and compared. The inherent dependent relations of processes and the evolution relations of functions are identified. The cost-effectiveness of blockchain adoption is then analyzed.

Seven functions and six challenges are identified within five processes. The result suggests all identified functions are cost-effective except for manual instruction (coding smart contracts manually). The smart contracts require explicit definition and logic to be effective. However, the construction projects essentially require the institution to be flexible due to unpredictability. The adoption of smart contracts and corresponding additional requirements can increase the transaction cost of bounded rationality.

As manual instruction is fundamental to realize other functions, and its advanced substitute relies on its broad adoption, its cost-effectiveness must be improved for applications to be acceptable to stakeholders. The establishment of a universal smart contract model and a universal, legitimate and efficient database structure are recommended to minimize the cost and maximize the effect of applications.

This study contributes to the knowledge by providing a comprehensive analysis of BCT adoption’s cost-effectiveness in construction project management. The adopted review structure can be extended to analyze the qualitative benefits and challenges of management automation in the early stages.