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This paper focuses on the orientation of the economy expressed in the communication of the Central Economic Work Conference (CEWC) of China and its relation with the stock market. This study seeks to explore which orientation of the economy may have a stronger impact on the rise of the stock market. It proposes words connoting orientation of the economy (WOE) that is closely related to the stock market, and different WOE has different impacts on the stock market in terms of intensity. The study aims to provide investors with better investment strategies by identifying the stronger developmental WOE.

The paper opted for an exploratory study using the textual analysis approach, based on a corpus of 28 CEWC communications spanning from 1994 to 2021. The raw corpus amounted to 50,754 words in total that are treated with noise reduction method and record an effective corpus of 39,591.

The paper provides empirical insights into the close relationship of the WOE of the CEWC to the stock market, and different WOE has different impacts on the stock market in terms of intensity. It suggests that WOE connoting development may forecast a rising stock market if it is nearly 40% higher than the other two WOEs by impact index.

As WOE is only proven in the CEWC, this paper has its limitations in the scope of samples. It is necessary to apply WOE to more Central Bank communication (CBC) and countries. It is desirable to apply the Gunning–Fog index.

The paper includes implications for investors to read out the orientation of the economy and the degree of different WOEs. Investors are keener to know “what” degree of the CEWC leads to the rise/fall of the stock market. The impact index can be an indicator of a tendency of the stock market, which upgrades the rationality of investment decisions.

This paper fulfills words connoting the orientation of economy as an identified linguistic feature, which the impact of CEWC on stockmarket can be measured.

Previous academic research studies mostly focus on the impact on stock market from the language features of CBC, rather than that from the more influential body, CEWC communication. This study seeks to provide the relationship of CEWC communication and the time length of the impact on the stock prices.

Although anemia during pregnancy is common in the USA, socio-demographic factors make pregnant women enrolled in Women, Infants and Children (WIC) program more vulnerable than the general population. The purpose of this study was to examine the socio-demographic characteristics, blood hemoglobin concentrations, nutrition knowledge and potential associations among these factors in a sample of pregnant women participating in the WIC program.

A cross-sectional study using survey methodology was conducted. In total, 60 pregnant women who were between 12 and 24 weeks of gestation and were carrying a single fetus were recruited from two WIC clinics. Overall nutrition knowledge was assessed with 42 questions arranged into three subscales. Participants’ scores were transformed into tertiles. WIC program records were used to record blood hemoglobin values. Principal component analysis was used to validate the knowledge subscales. Correlational and multivariate regression analyses were conducted to examine the relationship among variables.

Prevalence of anemia among the participants was higher than the national averages. Only 10 per cent of participants scored in the high tertile for nutrition knowledge. Anemia-during-pregnancy knowledge score was positively correlated with blood hemoglobin concentrations (r = 0.23, p < 0.05), and it was also a predictor of blood hemoglobin levels (R2 = 0.364, p = 0.02).

This is the first study to report on the knowledge of anemia, anemia during pregnancy and preventive measures among pregnant women enrolled in the WIC program.

Business process models, while primarily intended for process documentation, communication, and improvement, are often also used as input for developing process-oriented software systems (Ouyang et al., 2009). Ensuring correctness, handling complexity, and improving reusability and maintainability of business process models are important for all these goals. The purpose of this paper is to propose an aspect-oriented business process modeling and correctness controlling method based on Petri nets to satisfy these goals.

The aspect-oriented paradigm provides a proper mechanism to modularization, and thus reduces the complexity of models, and also improves reusability and maintainability. However, weaving aspects into base processes may bring in mistakes or errors. To ensure correctness of modeling, this paper presents a formal approach to modeling aspect-oriented business processes and a method to ensure modeling correctness. Petri net is used as the process modeling language and its analysis techniques are applied to analyze the correctness of modeling. Two types of correctness, specifically, aspect-aspect correctness and base-aspect correctness are analyzed. A real banking process model is studied systematically in the case study to evaluate the approach and the performance assessments are conducted to show the cost and effect of the approach.

Designing aspect-oriented business process models help organizations reusing the model elements to reduce redundancy of their model repository, improving their maintainability, and supporting them to adapt to the changes of business requirements with flexible modeling. It is important to stress that the correctness of business process modeling is important in ensuring the quality of the models, especially in the safety-critical business domains, such as financial business domain.

In this paper, separation of concerns is used to separate the cross-cutting activities and core activities in accordance with the different functions of these activities, and an approach to modeling aspect-oriented business processes is proposed. First, the cross-cutting activities are encapsulated as aspects, while core business activities are modeled as base processes. Then, according to the correctness requirements of business process models, based on the weaving mechanisms of aspect-oriented approach, weaving correctness is defined. Weaving correctness controlling methods between multi-aspects and between aspects and base processes are designed. Errors or mistakes of aspect-oriented business process modeling are prevented during the procedure of modeling to ensure error-free business process modeling.

The purpose of this paper is to investigate the effects of the related factors on the mean path length of the Epstein frame and propose a weighted method based on the different specific losses to decide the actual mean path length of the Epstein frame.

Two Epstein frames of different dimensions (i.e. standard 25 cm and revised 17.5 cm Epstein frame) are used in experiments, and two kinds of the mean path lengths, lm1 and lm2, are defined based on the different specific iron losses produced at the middle part of the limb and the rest of the whole frame, respectively.

The mean magnetic path varies with many factors such as peak flux density, excitation frequency, permeability as well as the anisotropy of the material under test.

The results play an important role in designing the transformer core and the building factor.

In recent years, with the increasingly serious urban water environmental pollution, the government has exerted considerable effort to promote the comprehensive improvement of the water environment and conducted numerous urban water environment treatment public–private partnership (PPP) projects (UWETP-PPP). The sustainability assessment of UWETP-PPP has important theoretical and practical significance for the public and private sectors to systematically evaluate the sustainability of projects and promote the sustainable development of projects. Therefore, the purpose of this paper is to advance a method to evaluate the sustainability of UWETP-PPP.

The paper adopted fuzzy logic method to evaluate the sustainability of UWETP-PPP. First, this paper constructed the sustainability assessment indicator system of UWETP-PPP. Second, this paper determined the appropriate linguistic scale for assessing the performance ratings and importance weights of UWETP-PPP sustainability indicators and collected experts’ evaluations of the project through questionnaires. Then, the linguistic variables were approximated as fuzzy numbers through the concept of fuzzy theory. Finally, the sustainability of the project was determined and the weak sustainability aspects of the project were identified by calculation.

The feasibility of this method was verified by a specific case. And, the results of the case study showed that the UWETP-PPP in Xuchang City, China, was sustainable, and the indicators of weak sustainability of the project were identified, namely, internal return ratio (IRR), sustainable cash flow, provision of employment opportunities, energy efficiency, comprehensive use of water resources, use of innovation materials, renewal of project facilities, adoption of advanced engineering technology, use of construction waste and waste recycling and reuse. This paper also proposed corresponding suggestions for further improving the sustainability of the UWETP-PPP in Xuchang City, China.

This paper makes two contributions: first, the fuzzy logic method is applied to provide new ideas for a sustainability assessment of UWETP-PPP, and the assessment results facilitate ways to monitor and estimate the degree of sustainability. Second, the identified indicators of weak sustainability provide useful references for the public and private sectors regarding implementing appropriate measures to improve the sustainability level of UWETP-PPP.

In order to find a way to create the artistic conception of modern landscape space, the spatial analysis of Daguanyuan is carried out from the perspective of literature in order to find out the method of creating the artistic conception of modern landscape space. Adopting the method of general to special, from theory to practice, the argument with special significance is analyzed from the most common phenomena, and this argument is applied to the method of practical cases. The results show that Daguanyuan space in literature needs the audience's ability to understand words, the perception of space in film and television needs the audience's strong memory and imaginative thinking, while the perception of Daguanyuan space in garden art needs only basic discrimination ability. After analyzing the effect of Daguanyuan space construction from the literary perspective, it is believed that the writing techniques of starting point - development - climax - ending, wanting to carry forward first and restraining first, and reserving foreshadows in literature can be used for reference in modern landscape design.

Building on social media and destination brand-related literature, this study aims to explore World Heritage Sites’ (WHSs) brand diffusion and formation process from long-term and short-term perspectives, which includes brand diffusion, user-generated content (UGC), opinion leaders and brand events’ impact.

This study uses a mixed-method including text mining, keyword analysis and social network analysis to explore the brand formation process of four popular WHSs in Beijing, namely, the Palace Museum, Great Wall, Summer Palace and Temple of Heaven and more than 10,000,000 users’ data on Sina Weibo has been implemented to uncover the underlying social media branding mechanism.

The results show that the number of postings keeps in a stable range in most months, but, in general, there are no common rules for changing trends among the four WHSs; long-term high-frequency keywords related to history and culture account for a higher percentage; different kinds of accounts have varying impacts on information diffusion, in which media accounts lead to a bigger influence. However, more followers do not necessarily mean more interactions and most of the interaction ratio is much lower than 0.01000; brand events facilitate brand dissemination and have an impact on the creation of UGC.

This study is valuable for destination marketers to deeper understand brand diffusion and formation and provides valuable insights for developing effective destination marketing strategies.

Unlike previous studies that only concern a few parts of destination brand formation via social media (e.g. brand diffusion, brand events or opinion leaders’ impact), this study takes a more comprehensive perspective by systematically analyzing the brand formation process of WHSs on social media. By considering both long-term diffusion and short-term representative events, this study provides a more holistic understanding of the branding mechanism.