In November 2018, the sample plot survey method was used to analyze the population characteristics of Lithocarpus polystachyus in the natural secondary forest with different disturbance intensity in Jianning, Fujian Province, and compile its population static life table. The results showed that the number of individuals in the population was small, but it was clustered. With the increase of interference intensity, the first and second age seedlings and young trees decreased. The population types affected by human disturbance are all lacking level V trees, and the population type belongs to primary population (N1); The undisturbed population lacks level I and II seedlings and young trees, but there are level V trees, and the population type belongs to medium decline population (S2). In general, all populations of L. polystachyus are unstable and belong to the transitional type. In the static life table, the mortality of level I and II seedlings and young trees is high, the survival rate has a small peak in level III and IV, and then the survival rate decreases rapidly, and the average life expectation of level II is the highest. It shows that artificial conservation measures and appropriate space re-lease are needed to maintain the stability of the population.
COVID-19 pandemic has caused many design bid build projects to suffer losses. Design bid build or DBB has the disadvantage of depth partnering. The research purpose is to reveal the depth of partnering of DBB, the characteristics of existing partnering in DBB through detection in each project life cycle in DBB, then efforts to increase DBB partnering to partnering in integrated project delivery (IPD). The methodology used is secondary data from three project DBB, then validation using focused group discussions (FGD) with expert judgment, then the Delphi method to analyse and propose recommendations. This project recommends that DBB project can improve the project performance so stakeholder can increase partnering toward integrated project delivery (IPD) partnering. This research can be used for increasing partnering in DBB projects towards partnering in IPD. This research will produce strategic recommendations that can be utilized by stakeholders (owner, contractor, designer) in improving project performance to generate great value for the project, will result in long-term project sustainability, improve relationships, and learn valuable lessons for future projects. DBB projects usually experience many problems due to the competitive nature of partnering for owners, contractors, and designers, so it is necessary to develop an overall strategy as an option to improve partnering in DBB project contracts. This research will help create a sustainable project by the owner, contractor, and designer.
There has always been a subtle connection between the development of science and technology and society's ethical beliefs. They mutually constrain and promote each other, collectively forming the fundamental framework of modern social ethics and moral systems. The exploration of the relationship between the two has significant theoretical value and practical significance. Thus, there is an urgent need for a new research paradigm to establish theoretical and practical guidance for the various issues arising between technology and ethics. This paper aims to analyze the binary structure of "human-nature" in the philosophy of life technology. Based on this research paradigm, it seeks to reveal the dialectical unity between technology and ethics. Furthermore, the paper explores how to construct a new ethical perspective of harmonious coexistence between humans and nature in the present era. It also delves into the methods to confront this ethical dilemma.
Two kinds of solar thermal power generation systems (trough and tower) are selected as the research objects. The life cycle assessment (LCA) method is used to make a systematic and comprehensive environmental impact assessment on the trough and tower solar thermal power generation. This paper mainly analyzes the three stages of materials, production and transportation of two kinds of solar thermal power generation, calculates the unit energy consumption and environmental impact of the three stages respectively, and compares the analysis results of the two systems. At the same time, Rankine cycle is used to compare the thermal efficiency of the two systems.
The human factor of production is a significant player in increased organizational productivity. Due to the contemporary competitive work environment, the millennial in front-line jobs is faced with demanding work activities, resulting in challenges to their psychological well-being. Therefore, exploring the connectedness between work-life balance, employee engagement and psychological well-being of the millennial becomes imperative. Research was conducted, using an ex-post facto research design, among 320 purposively selected front-line millennial employees, with a mean age of 32 years. The instrument administered in a Google Form survey contained a 44-item self-report questionnaire, comprising work-life balance, employee engagement with components as vigor, dedication and absorption, and employee well-being. Data analyzed revealed that work-life balance significantly predicted employee well-being, accounting for 25% variance. The dimensions of employee engagement (vigor, dedication and absorption) collectively accounted for 7% variance in employee well-being. The study establishes the fact that to enhance the psychological well-being of Millennials in front-line jobs, organizational management should design the work structures to allow for work-life balance, which will as well increase their work engagement. They can encourage employees to find meaning and purpose in their work (dedication), provide opportunities for skill development and autonomy (vigor), and create an environment that allows employees to fully immerse themselves in their tasks (absorption). These could be implemented through organizational development strategies and work design. However, future research should target additional variables, replicate the study in different contexts and among another population of employees, employ longitudinal data collection methods, and increase sample sizes. Furthermore, measures should be taken to minimize the impact of social desirability and enhance the generalizability of the research.
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