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In cities with high density, heat is often trapped between buildings which increases the frequency and intensity of heat events. Researchers have focused on developing strategies to mitigate the negative impacts of heat in cities. Adopting green infrastructure and cooling pavements are some of the many ways to promote thermal comfort against heat. The purpose of this study is to improve microclimate conditions and thermal comfort levels in high-density living conditions in Seoul, South Korea.

This study compares six design alternatives of an apartment complex with different paving and planting systems. It also examines the thermal outcome of the alternatives under normal and extreme heat conditions to suggest strategies to secure acceptable thermal comfort levels for the inhabitants. Each alternative is analyzed using ENVI-met, a software program that simulates microclimate conditions and thermal comfort features based on relationships among buildings, vegetation and pavements.

The results indicate that grass paving was more effective than stone paving in lowering air temperature and improving thermal comfort at the near-surface level. Coniferous trees were found to be more effective than broadleaf trees in reducing temperature. Thermal comfort levels were most improved when coniferous trees were planted in paired settings.

Landscape elements show promise for the improvement of thermal conditions because it is much easier to redesign landscape elements, such as paving or planting, than to change fixed urban elements like buildings and roads. The results identified the potential of landscape design for improving microclimate and thermal comfort in urban residential complexes.

The results contribute to the literature by examining the effect of tree species and layout on thermal comfort levels, which has been rarely investigated in previous studies.

Individualism collectivism measures, along with decision styles, are examined in Taiwan. About 600 questionnaires were distributed directly to employees with managerial positions in private, public, and mixed enter prises in the capital, Taipei. In general, Taiwanese were found to be more collectivist than individualistic. Participants displayed a strong preference for consultative and participative styles and determined that these two styles were the most effective in practice. Further more, participants indicated that their immediate supervisors were mostly consultative and autocratic.

Work and societal values were examined through a 72‐item survey for a sample of nearly six hundred managers, business owners, and professionals in Turkey. Factor analyses revealed eleven work value dimensions and eleven societal value dimensions. A second order factor analysis revealed nine meta‐dimensions among which indigenous concepts of cynical fatalism and under‐ambitious work deserve further attention. Findings also validate comparatively well‐established notions such as paternalism and trust.

The purpose of this paper is to propose an algorithm based on genetic algorithm (GA) to solve the block erection scheduling problem in shipbuilding.

The block erection scheduling problem is defined as the identical parallel machine‐scheduling problem with precedence constraints and machine eligibility (PCME) restrictions. A GA is proposed to find near optimal solution, and a few lower bounds and the percentage of the reduced makespan are defined to evaluate the performance of the proposed algorithm. Finally, the GA for block erection scheduling problem in a shipyard is illustrated by using the real data from a local shipyard.

The proposed GA produces lesser values of makespan against the random heuristic algorithm for the collected real instances.

The proposed GA can solve other similar parallel machine‐scheduling problems with PCME to minimize makespan.

Based on the proposed GA, the developed scheduling system for block erection in a shipyard can reduce the makespan of block erection, and contribute to the productivity improvement.

The allocation of block erection to the crane is modeled as a parallel machine‐scheduling problem with PCME, and the GA is developed to solve this problem to minimize makespan.

Project scheduling plays an essential role in the implementation of a project due to the limitation of resources in practical projects. However, the existing research tend to focus on finding suitable algorithms to solve various scheduling problems and fail to find the potential scheduling rules in these optimal or near-optimal solutions, that is, the possible intrinsic relationships between attributes related to the scheduling of activity sequences. Data mining (DM) is used to analyze and interpret data to obtain valuable information stored in large-scale data. The goal of this paper is to use DM to discover scheduling concepts and obtain a set of rules that approximate effective solutions to resource-constrained project scheduling problems. These rules do not require any search and simulation, which have extremely low time complexity and support real-time decision-making to improve planning/scheduling.

The resource-constrained project scheduling problem can be described as scheduling a group of interrelated activities to optimize the project completion time and other objectives while satisfying the activity priority relationship and resource constraints. This paper proposes a new approach to solve the resource-constrained project scheduling problem by combining DM technology and the genetic algorithm (GA). More specifically, the GA is used to generate various optimal project scheduling schemes, after that C4.5 decision tree (DT) is adopted to obtain valuable knowledge from these schemes for further predicting and solving new scheduling problems.

In this study, the authors use GA and DM technology to analyze and extract knowledge from a large number of scheduling schemes, and determine the scheduling rule set to minimize the completion time. In order to verify the application effect of the proposed DT classification model, the J30, J60 and J120 datasets in PSPLIB are used to test the validity of the scheduling rules. The results show that DT can readily duplicate the excellent performance of GA for scheduling problems of different scales. In addition, the DT prediction model developed in this study is applied to a high-rise residential project consisting of 117 activities. The results show that compared with the completion time obtained by GA, the DT model can realize rapid adjustment of project scheduling problem to deal with the dynamic environment interference. In a word, the data-based approach is feasible, practical and effective. It not only captures the knowledge contained in the known optimal scheduling schemes, but also helps to provide a flexible scheduling decision-making approach for project implementation.

This paper proposes a novel knowledge-based project scheduling approach. In previous studies, intelligent optimization algorithm is often used to solve the project scheduling problem. However, although these intelligent optimization algorithms can generate a set of effective solutions for problem instances, they are unable to explain the process of decision-making, nor can they identify the characteristics of good scheduling decisions generated by the optimization process. Moreover, their calculation is slow and complex, which is not suitable for planning and scheduling complex projects. In this study, the set of effective solutions of problem instances is taken as the training dataset of DM algorithm, and the extracted scheduling rules can provide the prediction and solution of new scheduling problems. The proposed method focuses on identifying the key parameters of a specific dynamic scheduling environment, which can not only reproduces the scheduling performance of the original algorithm well, but also has the ability to make decisions quickly under the dynamic interference construction scenario. It is helpful for project managers to implement quick decisions in response to construction emergencies, which is of great practical significance for improving the flexibility and efficiency of construction projects.

Research on Asian Americans’ health behavior has often cited socioeconomic status, race, language, cultural beliefs, acculturation, etc. as barriers to seeking health care services. Less is known about Southeast Asians refugees’ help-seeking process. In this exploratory study, we examine the illness experiences of Southeast Asian refugees with a Type 2 diabetes diagnosis, and consider the factors that contribute to their understanding and management of diabetes.

We used Pescosolido’s network episode model to frame our understanding of the ways in which Southeast Asians maneuver through their social support networks, face barriers in accessing health care services, and manage their diabetes. We interviewed a convenience sample of 16 adults. All interviews were digitally recorded, transcribed, and coded. Analysis was guided by the grounded theory approach.

Our findings revealed that Southeast Asians’ definition, acceptance, and management of their diabetes was largely influenced by various factors including: trauma and PTSD from their refugee experience, challenges of acculturation, illness experience, mental health, and access and barriers to health care services. The network episode model provides a blueprint for understanding the social and cultural challenges that Southeast Asian refugees face with regards to their diabetes.

Research limitations include the small and convenience sample used for the study, which does not contribute to generalizability. However, our findings contribute to the limited but growing studies on Southeast Asian refugees in the United States, and emphasize the need for health care providers to consider the illness experience, health beliefs, and the social context of Southeast Asian refugees with diabetes. Although the adults in this study were not recent immigrants, their immigrant history and experiences influenced their understanding and management of their diabetes.

Few qualitative studies focus on the health of Southeast Asians in the United States (Hmong, Laotian, Cambodian, and Vietnamese). This study has potential value for clinicians, social workers, and community providers serving ethnic minority populations, specifically Southeast Asians. In this study, older immigrant adults faced generational challenges that impacted their chronic illness (Type 2 diabetes).

In optimum designs of deep-groove ball bearings (DDGBs), an extended service life is one of the vital criteria. The life of a bearing depends on several factors. The purpose of this paper is to sequentially optimize three prime objectives for DDGB, i.e. the dynamic capacity (C_d), the maximum bearing temperature (T_max) and the elasto-hydrodynamic minimum film thickness (H_min).

For solving constrained non-linear optimization formulations with multitude of objectives, an optimal design methodology has been put forth with the help of artificial bee colony algorithms. A study on the constraint violation has been carried out. By the Monte Carlo simulation method, a sensitivity investigation of diverse design variables has been done to examine variations in three objective functions and violation of constraints.

Excellent improvement in the dynamic capacity (C_d), the maximum bearing temperature (T_max) and the elasto-hydrodynamic minimum film thickness (H_min) have been found in optimized bearing designs.

Ball bearing design has been done based on multi-discipline objectives that are based on strength, tribology and thermal consideration. This type of design is essential in practical scenario where these physical phenomena will be present simultaneously.

Gamification unlocks unprecedented opportunities in healthcare, wellness and lifestyle context. In this scenario, by leveraging on such an approach, information technologies now enabled gamification-based mobile applications primarily employed in health and wellness contexts, focusing on areas such as disease prevention, self-management, medication adherence and telehealth programs. The synergistic integration of gamification-based methodologies in conjunction with the utilization of digital tools, (e.g. as for Internet of Things, mobile applications) for the realm of digital therapeutics (DTx), thus unveiled powerful approaches and paradigms, yielding innovative applications that, through the harnessing of sensors and software-based systems, transform healthcare maintenance, wellness and lifestyle into an engaging pursuit, as a game. This paper explores the factors influencing individuals' intention to autonomously utilize mobile gamification-based apps for self-care and wellness maintenance.

Through explorative research designs an experiment has been conducted among a sample of 376 participants regarding the use of a fictitious gamification-based DTx solution, consisting in a mobile app namely “Health'n’Fit”.

Findings from an experiment conducted with a sample of 460 participants shed light on the possible antecedents and consequents of gamification. Results of the SEM model indicate that customization (CU), trust (TR), mobility (MO) and social value (SV) are the main determinants, although at a different extent of the playful experience; Moreover, gamification positively impacts attitudes and, in turn, perceived usefulness, intention to use and behavioral intentions.

This paper offers a dual-pronged approach that holds practical significance in the realm of healthcare innovation. First, the authors delve into the antecedents shaping individuals' intention to engage with gamification-based DTx, unraveling the factors that influence user adoption. Beyond this, the authors extend their focus to the realm of healthcare service design. By harnessing the potential of gamification and technology, the authors illuminate pathways to conceptualize and create novel healthcare services. This work not only identifies the building blocks of user engagement but also serves as a guide to innovatively craft healthcare solutions that leverage this amalgamation of technology and gamification, contributing to the evolution of modern healthcare paradigms.

In a social context, the paper introduces pioneering technological synergies that merge gamification and DTx to enhance individuals' health and wellness maintenance. By proposing innovative combinations, the authors present novel avenues for promoting healthier lifestyles and behavior change. This not only underscores the potential of technology to positively impact individuals but also highlights the significance of aligning technological advancements with societal well-being. As the research advocates for these innovative solutions, it reinforces the importance of collaborative technological and marketing endeavors, ultimately contributing to the betterment of society as a whole.

This is the first paper exploring the combined effect of gamification and DTx, by shedding light on the peculiarities of both the antecedents of individuals' intention to use such combined technologies.

During the 1920s and 1930s in the colonial city of Seoul, a group of women called the New Women and the Modern Girls expressed their modern identities by wearing different clothing, hairstyles and make-up; visiting cafés; viewing Western movies; and consuming other foreign merchandise. While these women were admired by many women as being pioneers of modernity, they were severely criticized by others under the pretext that they indulged their vanity without considering the economy of their families and their colonized nation. These criticisms continue in twenty-first century Korea. Based on the striking similarity between the two eras, an understanding of the consumption and the criticisms of the Modern Girls could provide a historical context for understanding women's experiences in the consumer culture of twenty-first century Korea. The paper aims to discuss these issues.

As secondary sources, literature published in both English and Korean was included. Primary data were obtained from articles in Korean newspapers, magazines and print advertisements from the 1920s and 1930s.

The New Women and Modern Girls expressed their modern identities by consuming various fashion goods, including Western-style clothes, make-up and various accessories, adopting Western hairstyles and frequenting modern cafés, theaters and department stores. However, their behaviors escaped the boundaries of the “wise mother, good wife” ideology, and they were severely criticized by those adhering to the neo-Confucianism and Korean nationalist ideology that was deeply rooted in Korean society. Thus, the reputations of the Modern Girls were tainted and the individuals were stigmatized.

This research illuminates the negative aspects of self-expressive consumption, showing how individualistic, identity-driven consumption can be stigmatized in the collectivistic culture of Korea that is rooted in neo-Confucian nationalism.