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The purpose of this paper is to propose an effective numerical approach for solving the natural convection in a two-dimensional square enclosure by using the single relaxation time-Bhatnagar, Gross and Krook (SRT-BGK) model (D2Q9) and lattice Boltzmann method (LBM).

Navier–Stroke equation is replaced by lattice Boltzmann method, and the numerical approach was simulated using LBM. LBM is a linear equation so, it reduces the computational time. The governing equations are solved using the SRT-BGK model. To achieve better numerical stability and accuracy, the momentum and energy equations are solved using two-dimensional nine-directional (D2Q9) lattice arrangement.

The results are presented at different convection mechanism with constant Prandtl number = 0.71, and the result is validated with reported literature. Numerical investigation is performed and accurate results are obtained; the range of Pr = 0.71, various Rayleigh number, phase change, periodicity parameter and amplitude ratio with three different blockage ratios. The present study is performed using LBM.

To extend this work, the influence of natural convection, various selections of Prandtl number and Rayleigh number, periodicity and the effect of aspect ratio with mounted number of blockages could be included.

This research article will be useful for the study of fluid flow and heat transfer in hot and cold fluid interaction over the solid object. Like gear hardening with various sizes of gear blocks, material processing with hot and cold fluid interactions inside the furnace wall, solar panels high and low density fluid variation, indoor hot and cold fluid thermal environments, inside nuclear reactors heat and heavy water fluid interaction, cooling of electronic equipments and various chemical engineering applications.

This paper will be useful for studying fluid flow and heat transfer within a square enclosure, and it gives practical information in engineering and heat transfer applications.

The present work is the first to investigate using LBM for selected parameters to apply a natural convection with imposed sinusoidal wave for different convection mechanisms.

The purpose of this paper is to highlight the prominent cognitive biases that influence Lean practices in organisations that have a multi-cultural work environment which will aid the organisational managers and academics in enhancing the understanding of the human thought process and mitigate them suitably.

A multiple case study was conducted in organisations that were previously committed to Lean practices and had a multi-cultural work environment. This research was conducted on five companies based on 99 in-depth semi-structured interviews and seven process observations that sought to establish the system-wide cognitive biases present in a multi-cultural Lean environment.

The novel findings indicate that nine new biases influence Lean implementation and practices in a multi-cultural environment. This study also found strong connectivity between Lean practices and 45 previously identified biases that could affect positively or negatively the lean methodologies and their implementation. Biases were resilient enough that their influence on Lean in multi-cultural workplaces, even with transient populations, did not demonstrate cultural differentiation.

Like any qualitative research, constructivism and narrative analyses are subjected to understanding based on knowledge gained on the subject, and data may have been interpreted differently. Constructivist co-recreation of process scenarios based result limitations is therefore acknowledged. The interactive participation in exploring the knowledge sought after and interaction that could have a probable influence on the participant need to be acknowledged. However, the research design, multiple methods of data collection, generalisation based on data collection and analysis methods limit the effects of these and findings are reliable to a greater extent.

The results can provide an enhanced understanding of biases and insights into a new managerial approach to take remedial steps on biases’ influence on Lean practices that can result in improved productivity and well-being from a business process perspective. Understanding and mitigating the prominent biases can aid Lean manufacturing processes and support decision makers and line managers in improving lean methodologies’ effectiveness and productivity. The biases can be negated and used to implement decisions with ease. The influence of biases and the model could be used as a basis to counter implementation barriers.

To the best of the authors’ knowledge, this is the first study that connects the cognitive perspectives of Lean business processes in a multi-cultural environment to identify the cognitive biases that influence Lean practices in organisations that were previously committed to Lean practices. The novel findings indicate that nine new biases and 45 previously identified biases influence Lean implementation and practices in a multi-cultural environment. The second novelty of this study shows the connection between cognitive biases, Lean implementation and practices in multi-cultural business processes.

This pragmatic research paper aims to unravel the smart vision-based method (SVBM), an AI program to correlate the computer vision (recorded and live videos using mobile and embedded cameras) that aids in manual lifting human pose deduction, analysis and training in the construction sector.

Using a pragmatic approach combined with the literature review, this study discusses the SVBM. The research method includes a literature review followed by a pragmatic approach and lab validation of the acquired data. Adopting the practical approach, the authors of this article developed an SVBM, an AI program to correlate computer vision (recorded and live videos using mobile and embedded cameras).

Results show that SVBM observes the relevant events without additional attachments to the human body and compares them with the standard axis to identify abnormal postures using mobile and other cameras. Angles of critical nodal points are projected through human pose detection and calculating body part movement angles using a novel software program and mobile application. The SVBM demonstrates its ability to data capture and analysis in real-time and offline using videos recorded earlier and is validated for program coding and results repeatability.

Literature review methodology limitations include not keeping in phase with the most updated field knowledge. This limitation is offset by choosing the range for literature review within the last two decades. This literature review may not have captured all published articles because the restriction of database access and search was based only on English. Also, the authors may have omitted fruitful articles hiding in a less popular journal. These limitations are acknowledged. The critical limitation is that the trust, privacy and psychological issues are not addressed in SVBM, which is recognised. However, the benefits of SVBM naturally offset this limitation to being adopted practically.

The theoretical and practical implications include customised and individualistic prediction and preventing most posture-related hazardous behaviours before a critical injury happens. The theoretical implications include mimicking the human pose and lab-based analysis without attaching sensors that naturally alter the working poses. SVBM would help researchers develop more accurate data and theoretical models close to actuals.

By using SVBM, the possibility of early deduction and prevention of musculoskeletal disorders is high; the social implications include the benefits of being a healthier society and health concerned construction sector.

Human pose detection, especially joint angle calculation in a work environment, is crucial to early deduction of muscoloskeletal disorders. Conventional digital technology-based methods to detect pose flaws focus on location information from wearables and laboratory-controlled motion sensors. For the first time, this paper presents novel computer vision (recorded and live videos using mobile and embedded cameras) and digital image-related deep learning methods without attachment to the human body for manual handling pose deduction and analysis of angles, neckline and torso line in an actual construction work environment.

The COVID-19 pandemic has compelled higher education institutions (HEI) in the United Arab Emirates (UAE) and globally to shift to a new pedagogy that is sustainable and resilient to crises and disruptions. It necessitated the integration of technologies as part of pedagogical innovation and modification of higher education practices – advancing toward a more holistic integration of physical and digital tools and methods to enable more flexible, creative, collaborative and participatory learning. In terms of pedagogy, an open approach to learning is essential, combining in-person teaching with technological tools and online learning.

This paper examines theoretical and empirical literature to define the potential benefits of utilizing open educational practices (OEP) in higher education, including better access, furthering equity and enhancing teaching, learning and assessment.

It proposes a comprehensive framework built on a continuum of open pedagogy (OP) that comprises “Emphasis”, “Essentials” and “Evolution”. Based on this framework, a set of recommendations for using OEP for successful knowledge building is provided.

The research determined the significance of increased OEP involvement for sustainable learning possibilities and the UAE’s initiatives in developing educators to support innovative pedagogies and technology-enabled teaching-learning standards. The study suggests placing more emphasis on faculty and student scaffolding while using OP for better learning experiences and outcomes, as well as more institutional support and the need for policy development to transform the UAE into a global hub for sustainable education.

Vernacular architecture is an architectural style of buildings that were constructed by artisanal builders who lacked formal qualifications, used local materials and had a deep understanding of local climatic needs. This approach addressed climatic, energy, materials and construction issues in a low-cost way. Building interiors were often made comfortable by using passive internal climate regulation methods, which could be key to resolving some of the current issues of the modern world.

Tamil Nadu is a land full of local architecture, with Konearirajapuram settlement a thriving specimen of its vernacular architecture, as one of the original Vathima villages (planned Brahmin villages). Here the authors present an appraisal of this settlement's native architecture with its various passive design elements. A questionnaire survey was also conducted among local residents, living in both vernacular and contemporary residential buildings, to understand the quality of indoor environmental comfort in the different building types (single courtyard, multiple courtyards and multiple story houses with courtyards).

The results of this study show that energy-efficient bioclimatic design strategies of traditional buildings can be analyzed with the help of climatic data and analysis tools such as Mahoney tables and Olgyay's bioclimatic chart. The study shows that vernacular design techniques and principles conserve more energy than modern buildings. The findings suggest that practical solutions for improving contemporary residential developments can be found in traditional architectural approaches and that these approaches should be incorporated in new developments to achieve energy efficiency and a sustainable future.

A detailed survey and the user preferences are plotted in detail in this paper; similarly, Mahoney table and its requirements are analyzed with respect to context; and the results are elaborated and justified.

This study analyzes an entire settlement of Konearirajapuram with 300 units of vernacular residences high in comfort even at extreme climates. Assessment is carried in both qualitative case and quantitative case. Even though there are no previous studies analyzed to identify the effectiveness of the artisanal builders of bioclimatic architecture. Hence, this study brings out the solution for current energy problems from the traditional settings, because the traditional buildings requires no active systems for indoor comfort except a fan, which is negligible in terms of energy use.

Well-being at work is a prime concern for learning organizations where work is knowledge-intensive and the need for updated learning exerts high work pressure. This study aims to examine the mediating influence of organizational learning capability in facilitating routine and novel knowledge sharing to foster employees’ well-being at work in Indian information technology (IT) organizations. This research explores whether the sharing of routine knowledge and novel knowledge contributes to employees’ well-being at work by enhancing organizational learning capability.

Using a quantitative approach, the authors collected data from 209 employees in IT organizations in India via a questionnaire survey. After verifying the reliability and validity of the data, the authors analysed the data using co-variance-based structural equation modelling using AMOS 26.

The results show that the indirect effect of routine and novel knowledge sharing on well-being at work was influenced by the mediating role of organizational learning capability. Routine knowledge sharing has a significant positive impact on organizational learning capability and well-being at work. While novel knowledge sharing positively predicted organizational learning capability, it did not have a direct impact on well-being at work. Moreover, organizational learning capability has a direct positive effect on employees’ well-being at work.

The cross-sectional design of the study makes the cause-and-effect relationship difficult to conclude. Moreover, the use of self-report measures poses methodological biases. Thus, longitudinal studies with objective measurements are recommended. Future studies can examine the role of individual characteristics such as learning orientation and personality in the studied framework.

Employee well-being and organizational learning can be enhanced through knowledge sharing practices, promoted by human resource policies and leaders. This promotes on-the-job learning, reducing working hours for training and learning purposes. By fostering a culture of openness, mutual trust and networking, organizations can enhance their employees’ work−life balance and overall performance.

This paper addresses a paucity in the literature concerning the outcomes of knowledge sharing and factors that lead to well-being at work. Drawing on the learning-based well-being perspective and job-demand resource theory, this research pioneers the examination of the mediating effect of organizational learning capability in the link between routine and novel knowledge sharing and employees’ well-being in IT learning organizations in India. Findings of this study may help managers of IT firms boost organizational learning and improve knowledge workers’ well-being, thus helping to maximize their performance and enhance employee retention and welfare.

The purpose of this paper is to examine the effect of learning organization on work engagement in Indian IT firms. Also, this study provides a holistic understanding of antecedents of work engagement at the individual, team, and organizational levels of learning organization.

The sample comprised of responses from 250 managerial employees’ working in IT companies based in India. Confirmatory factor analysis was employed to analyze the proposed measurement model. The study utilized hierarchical multiple regression for testing the research hypotheses. Furthermore, incremental validity was examined to depict the variance contribution of the predictor variables (learning organization).

The results of hierarchical regression analysis revealed that learning organization dimensions have varied predicting effects on work engagement. The findings of the study showed that vigor and dedication were most significantly predicted by embedded system and continuous learning opportunities of learning organization where as inquiry and dialogue has the most significant influence on absorption.

This study offers concrete insights to human resource managers for developing prioritized composite-level interventions at individual, team, and organizational levels of learning organization for building highly engaged workforce.

Despite number of research works on work engagement, research is deficient in examining the role of learning organization dimensions (individual, team and organization level) in influencing work engagement. By investigating the relationship between learning organization and work engagement, the present study embarks to fill the paucity in academic and practitioner literature in the Indian organizational context.

Sustainable urban development implies a process by which sustainability can be attained, emphasizing improvement, progress and positive change, incorporating both environmental and social dimensions. Thus, sustainable urban development highlights the need to reform the market mechanism to achieve environmental goals with the attainment of a balance with social and economic considerations. The large and emerging economies of BRICS have experienced fast-paced urbanization process in recent decades. Along with it the problem of environmental degradation occurs as fast urbanization requires more and more energy consumption as well as carbon emission. Here comes the problem of sustainable urbanization which is a matter of serious concern to deal with. In this chapter, five BRICS nations have taken up to see their respective progress in the fields of per capita energy consumption and carbon emission in their urban areas. To show this it investigates the relationship between urbanization, energy consumption, and CO₂ emissions over the period 1992–2014, using a panel data model. The relative potentials of the countries to reduce respective CO₂ emissions are also analyzed. The results indicate that per capita CO₂ emissions are characterized by conspicuous regional imbalances during the study period. Nations are found to present a long run bidirectional positive relationship, the importance of which is found to vary between the respective regions of the countries.

Historically, tin‐lead solder has been a commonly used joining material in electronics manufacturing. Environmental and health concerns, due to the leaching of lead from landfills into ground water, have necessitated legislation that restricts the use of lead in electronics. The transition from tin‐lead solder to a lead‐free solder composition is imminent. Several alternative solder alloys (and their fluxes) have been researched for electronics assembly in the last few years. The objective of this research was to develop a systematic selection process for choosing a “preferred” lead‐free solder paste, based on its print and reflow performance.

After a detailed study of industry preferences, published experimental data, and recommendations of various industrial consortia, a near eutectic tin‐silver‐copper (SAC) composition was selected as the preferred alloy for evaluation. Commercially available SAC solder pastes with a no‐clean chemistry were extensively investigated in a simulated manufacturing environment. A total of nine SAC pastes from seven manufacturers were evaluated in this investigation. A eutectic Sn/Pb solder paste was used as a baseline for comparison. While selecting the best lead‐free paste, it was noted that the selected paste has to perform as good as, if not better than, the current tin‐lead paste configuration used in electronics manufacturing for a particular application. The quality of the solder pastes was characterized by a series of analytical and assembly process tests consisting of, but not limited to, a printability test, a solder ball test, a slump test, and post reflow characteristics such as the tendency to form voids, self‐centring and wetting ability.

Each paste was evaluated for desirable and undesirable properties. The pastes were then scored relative to each other in each individual test. An aggregate of individual test scores determined the best paste.

This paper summarizes a systematic approach adopted to evaluate lead‐free solder pastes for extreme reflow profiles expected to be observed in reflow soldering lead‐free boards.

The leaching of lead from electronic components in landfills to ground water is harmful to health and to the environment. Increasing concern over the use of lead in electronics manufacturing has led to legislation to restrict its use as a joining material. Consequently, significant recent research efforts have been geared to identification of suitable lead‐free solder pastes. Typically, lead‐free solder pastes contain a very active flux in an effort to improve wetting. These aggressive fluxes have the tendency to explode (or burst) and create flux spatter, causing many process problems with sensitive electronic components. The purpose of this paper is to propose solution procedures to minimize/eliminate these flux spatters, particularly, on gold fingers in memory modules when lead‐free solder pastes are used.

Four no‐clean, lead‐free Sn‐Ag‐Cu (SAC) alloy‐based solder pastes consisting of four different flux systems from three different vendors were evaluated. Two types of reflow profiles (linear and ramp‐soak‐ramp) were also evaluated. Experiments were also conducted to optimise the soak temperature and soak time to determine a broader process window for lead‐free volume production with minimal flux spatter on the contact fingers of memory modules. In order to validate our findings the recommended profile and paste was adopted in production. Additional experiments on a board with a different surface finish were also carried out to validate the recommendations.

Flux spatter can be reduced/eliminated through proper selection of flux chemistry and reflow profile optimisation. The experimental study conducted indicates there is a reduction in the occurrence of flux spatter when a ramp‐soak‐ramp profile is used with lead‐free solder pastes.

Demonstrates that flux spatter can be reduced/eliminated by carefully choosing a soak profile and appropriate flux chemistry.