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Efficient market hypothesis implies that the past price movements do not help forecast future price movements. Thus, it is impossible to consistently benefit by a technical trading strategy. On the other hand, technical analysts claim that the historical price movements are useful in predicting future price movements. These two lines of arguments are mutually contradictory. This paper reasonably assumes that the more efficient markets are, the worse will be the investment performance of technical analysis, and that as financial market‘s trading volume grows and with the elapse of time, the efficiency of markets should improve. This implies that after the launch of a new financial asset, market efficiency would improve with increased trading and elapsed time. In this paper, the duration analysis technique is used as a forecasting model and applied to measure the efficiency of Korean futures market and the won/dollar exchange rate market.

This paper aims to summarize the available literatures, specifically in the following areas: metabolic and other side effects of aspartame; microbiota changes/dysbiosis and its effect on the gut-brain axis; changes on gut microbiota as a result of aspartame usage; metabolic effects (weight gain and glucose intolerance) of aspartame due to gut dysbiosis; and postulated effects of dysregulated microbiota-gut-brain axis on other aspartame side-effects (neurophysiological symptoms and immune dysfunction).

Aspartame is rapidly becoming a public health concern because of its purported side-effects especially neurophysiological symptom and immune dysregulation. It is also paradoxical that metabolic consequences including weight gain and impaired blood glucose levels have been observed in consumers. Exact mechanisms of above side-effects are unclear, and data are scarce but aspartame, and its metabolites may have caused disturbance in the microbiota-gut-brain axis.

Additional studies investigating the impact of aspartame on gut microbiota and metabolic health are needed.

Exact mechanism by which aspartame-induced gut dysbiosis and metabolic dysfunction requires further investigation.

The purpose of this paper is to investigate the audit effect hypothesis for the cross-quarter differential market reactions to earnings announcements.

Earnings response coefficients are focused upon as indicators of perceived earnings quality.

The evidence suggests that investors of Singapore listed companies respond more strongly to earnings announcements in the fourth quarter than other interim quarters. The findings support the notion that investors attach different degrees of reliability to interim quarter earnings relative to final quarter earnings.

Findings in this paper shed new light on the audit effect hypothesis and are relevant to accounting regulators and audit committee members seeking to enhance the credibility of earnings announcements.

Proposes a new formulation for allocating process tolerances. The major contribution of the model is to assign tolerances with maximization of the conformance rate of the entire process. The cumulative standard normal probability is used to estimate the scrap rate of each operation with respect to the machining accuracy of equipment, therefore, the design engineers are able to predict the failure rate before production. Results of comparison with other methods indicate that the proposed model can cost‐effectively assign tolerances.

The design process of a bio-model involves multiple factors including data acquisition technique, material requirement, resolution of the printing technique, cost-effectiveness of the printing process and end-use requirements. This paper aims to compare and highlight the effects of these design factors on the printing outcome of bio-models.

Different data sources including engineering drawing, computed tomography (CT), and optical coherence tomography (OCT) were converted to a printable data format. Three different bio-models, namely, an ophthalmic model, a retina model and a distal tibia model, were printed using two different techniques, namely, PolyJet and fused deposition modelling. The process flow and 3D printed models were analysed.

The data acquisition and 3D printing process affect the overall printing resolution. The design process flows using different data sources were established and the bio-models were printed successfully.

Data acquisition techniques contained inherent noise data and resulted in inaccuracies during data conversion.

This work showed that the data acquisition and conversion technique had a significant effect on the quality of the bio-model blueprint and subsequently the printing outcome. In addition, important design factors of bio-models were highlighted such as material requirement and the cost-effectiveness of the printing technique. This paper provides a systematic discussion for future development of an engineering design process in three-dimensional (3D) printed bio-models.

Traditional failure mode and effects analysis (FMEA) determines the risk priority number by finding the multiplication of factor scores that are converted from the probability or degree of problem occurrence without considering the relative importance of factors. This study applies fuzzy theory to eliminate the conversion debate by directly evaluating the linguistic assessment of factors, and uses grey theory to obtain risk priority number by assigning relative weighting coefficient without any utility function. Results of the illustrative example show that concurrent application of fuzzy method and grey theory can solve the problems that have arisen from conventional FMEA, and can efficiently discover the potential failure modes and effects. Indicates that, as a result, the stability of product and process can be assured.

This study examines the effect of a regulatory-focused prime (i.e. a brochure with a picture and message) on the recommending behavior of investment advisers in the context of an investment decision.

Three experiments were conducted with 468 participants, mostly from the financial services industry. Study 1 examined the direct effect of a regulatory-focused prime on an investment adviser's recommending behavior, whereas Study 2 examined the moderating role of regulatory fit on such behavior. Study 3 validated the findings.

The results provide evidence that a message using visual and textual cues based on a promotion and prevention regulatory focus may trigger a preference in an investment adviser's product recommendation. A promotion (prevention)-focused framed message will trigger the recommendation of an investment plan with a higher but riskier (safe and stable) potential return. However, when the same prime is presented with details of a performance incentive scheme, the effect of the prime is reduced when there is a regulatory nonfit between the prime and the message relating to the performance incentive scheme.

The findings highlight the importance of understanding how regulatory-focused stimuli may subconsciously influence the recommendation of investment advisers as heuristics used in decision-making, thereby influencing their clients' investment decisions.

Past studies have focused on how regulatory-focused visual and message cues influence consumer decision-making. This study provides empirical evidence regarding the influence of regulatory-focused prime on an investment adviser's behavior when providing investment advice.