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Cold weather and the subsequent demand for lightweight apparel have prompted research work in the field of thermal insulation clothing. In addition to natural fibres, such as wool and cashmere, hollow chemical fibres, such as polyester or polypropylene fibre, have been studied and used to make thermal-insulation clothing. Primarily, modifications are made to increase the hollow ratio; however, this results in the fibre becoming brittle and prone to collapse. Yet many animals survive in harsh and cold conditions, and their hair plays a key role in keeping the body warm.

In the research under discussion, 4 types of cold-resistant animals are selected for observation of their hair fibres based on optical and scanning electronic microscopies. The characteristics of the hair fibres of cold-resistant animals are examined, including colour, scale density, scale thickness, medullary distribution and morphology of cross sections. The conclusions show that there are some common characteristics among cold-resistant animals, i.e., the cross sections are circular or ellipse or anomaly ellipse, scale density ranges from 40 to 100 scales per 1 mm, scale styles vary, and scale angles are small. The experimental results may be used to provide a modification method for functional fibres, especially for thermal-insulation fibres.

The purpose of this paper is to investigate how stock characteristics influence investor trading behavior and psychological pitfalls.

This study employs the methods of Solt and Statman (1989) and Kumar (2009) to examine investor trading activities.

Good companies do not usually have good stocks, while lottery-type stocks show better price performance than other stocks. Due to the representativeness and affect heuristics, the stocks of good companies are frequently transacted, while the low-priced stocks are infrequently transacted. Moreover, investors may display the gambler’s fallacy in the trade of stocks of good companies and the overconfidence and self-attribution bias in the trade of lottery-type stocks.

Investors trading lottery-type stocks demonstrate greater maturity than those that trade stocks of good companies; however, psychological pitfalls still dominate investor trading behavior.

The representativeness heuristic of “stocks of good companies are good stocks” results in the inclusion of stocks of good companies in a portfolio and poorer price performance, whereas the inclusion of lottery-type stocks in a portfolio brings higher returns within a short period of time.

Compared to earlier studies that focussed on the price performance of stocks of good companies and investor trading behavior in relation to lottery-type stocks, this study aims to investigate the influence of stock characteristics on price performance, trading activities, and psychological pitfalls.

Forest as a vital natural resource in China plays an irreplaceable important role in safeguarding ecological security and human survival and development. Due to the vast territory, huge population and widespread forest landscape of China, forest management is a complex system involving massive data and various management activities. To effectively implement sustainable forest management, the big data technology has been utilized to analyze China’s forestry resources. Thus, the purpose of this paper is to clarify the role of big data technology in China’s forest management.

In this paper, the authors revisited the roles of big data in forest ecosystem monitoring, forestry management system development, and forest policy implementation.

It demonstrates that big data technology has a great potential in forest ecosystem protection and management, as well as the government’s determination for forest ecosystem protection. However, to deepen the application of big data in forest management, several challenges still need to be tackled.

Thus, enhancing modern science and technology to improve big data, cloud computing, and information technologies and their combinations will contribute to tackle the challenges and achieve wisdom of forest management.

While current management theory is largely based on economic assumptions, there is evidence to suggest capitalism is at a crossroads. Humanistic management is accordingly proposed as an alternative new paradigm. The present study follows this approach in considering Confucianism as a humanistic practice. The purpose of this study is to explore humanistic leadership displayed by a Confucian leader and how he/she presents humanistic concern in corporate management to pursue the common good.

This study adopted a structured–pragmatic–situational approach to conduct a case study and collected data from three sources: semi-structured interviews, consultant observations and archival data.

The findings reveal that a Confucian leader takes all stakeholders' interests into account while engaging in corporate management and displays humanistic behaviors toward the stakeholders that are in line with five Confucian virtues. The leader cultivates the employees as Confucian humanistic agents. These employees accordingly act as bridges to transmit the humanistic spirit to their customers and other industries in the same market. To initiate an industry change to achieve collective welfare, a Confucian leader must first influence his/her primary stakeholders. The primary stakeholders next collectively influence the secondary stakeholders (i.e. the industry). Consequently, the overall goal of the common good is ultimately sustained.

This study identifies valuable practical implications for humanistic practices in corporate management from a Confucian perspective. In addition, this study takes a significant academic step forward by illuminating the humanistic paradigm.