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This paper presents a case study on the problem of loading air containers in air express carriers motivated from DHL and Air Hong Kong. The problem is to determine the containers to be loaded and the locations of the loaded containers in an aircraft while maintaining stability of the aircraft. The objective of the problem is to maximize the revenue obtained from delivering containers. We present an integer programming model to represent and optimally solve the problem. Computational experiments done on a number of randomly generated test instances show that the integer program can be a viable tool for generating loading plans in the companies since optimal or near-optimal solutions for the test instances are obtained within a reasonable amount of computation time.

The restructuring of shipping and shipbuilding companies in the midst of rapidly shrinking global shipping demand has become a prominent issue in Korea. In shipping finance, loan syndication featuring many creditors surges as the preferred option. However, increasing the numbers of creditors in the syndicate results in two opposite effects. First is the beneficial effect from their enhanced monitoring power. On the other hand, there is the adverse effect resulting from increased difficulty in coordination when syndicate members increase, particularly in bankruptcy. Our aim of this paper is to analyze the role of finance in the shipping and shipbuilder markets, and determine the theoretical optimal number of creditors for the shipping finance syndicate based on Bolton and Scharfstein (1996). The two issues above result from moral hazard and non-verifiability: coordination among many creditors for collection of bonds in case of default, and the enhancement of monitoring private benefit exploitation by the ship-owner during default. Considering the two conflicting forces result from an increase in creditor membership, we draw conclusions on determining the optimal number of creditors by considering trade-offs between these two factors: More creditors are preferred when the monitoring effect dominates. Otherwise, less creditors are preferred.

The purpose of this research is to examine how pre-scandal associations and scandal types interactively influence consumer judgment and negative electronic word-of-mouth (eWOM).

Drawing from cognitive dissonance theory and associative memory network model, the online experiments (Amazon Mechanical Turk; Nexperiment 1 = 146 and Nexperiment 2 = 189) were conducted to examine the effects of positive pre-scandal associations (performance vs pro-social) and scandal types (performance-related vs -unrelated) on consumer blame and eWOM toward scandalized athletes. Data were analyzed by employing t-test (experiment 1), Multivariate Analysis of Covariance (MANCOVA) and PROCESS Model 8 (experiment 2) to test the hypotheses.

The findings highlight that positive pre-scandal association demonstrated both protecting and backfiring effects depending on the types of scandals. Specifically, when performance-related scandals emerged, consumers made more negative blame judgment of athletes with salient performance association, relative to pro-social association. Inversely, when performance-unrelated scandals occurred, athletes with salient pro-social association were more likely to be blamed. Regarding eWOM, consumers generate more negative eWOM when athletes with pre-performance associations are involved with performance-related scandals. This pattern of the result was not observed when athletes' pro-social association and performance-unrelated scandals were prominent.

The current work adds consumers' negative eWOM toward scandalized athletes to the literature as a predictor of how athletes' pre-scandal association with consumers and scandal types are related. The findings indicate that consumers feel greater dissonance and generate more negative eWOM when athletes' pre-scandal associations and scandal types are closely related.

This paper aims to present a step-exchange strategy for balance control of a walking biped robot when a lateral impact acts suddenly. A step-out strategy has been recently proposed for balance control when an unknown lateral force acts to a biped robot during walking. This step-out strategy causes a robot to absorb the impact kinetic energy and efficiently maintain balance without falling down. Nevertheless, it was found that the previous strategies have drawbacks that the two foots should always be on the ground (double-support mode) after being balanced and the authors think it is difficult to continue walking after being balanced. Unlike the existing balance strategies, the proposed step-exchange strategy is to not only maintain balance but also to lift one leg in the air (single-support mode) after being balanced so that it is easy for a biped robot to keep walking after being balanced.

In the proposed step-exchange strategy, forward Newton–Euler equation, angular momentum and energy conservation equation were derived. Hill-climbing algorithm is utilized for numerically finding a solution. To verify the proposed strategy, a biped robot by Open Dynamics Engine was stimulated, and experiments with a real biped robot (LRH-1) were also conducted.

The proposed step-exchange strategy enables a walking biped robot under a lateral impact to keep balance and to keep a single-support mode after exchanging a leg. It is helpful for a biped robot to continue walking without any stop. It is found that the proposed step-exchange strategy can be applicable for maintaining balance even if a biped robot is moving. Even though this proposal seems immature yet, it is the first attempt to exchange the supporting foot itself. This strategy is very straightforward and intuitive because humans are also likely to exchange their supporting foot onto the opposite side when an unexpected force is acting.

The proposed step-exchange strategy described in this paper can be applicable in the situation when the external force is applied in the +Y direction, the left leg is the swing leg and the right leg is the stance leg, or it can also be applicable in the situation when the external force is applied in −Y direction, the right leg is the swing leg and the left leg is the stance leg (Figure 2 for ±Y force direction). If an impact force acts to the side of the swing leg, the other step-exchange strategy is needed. The authors are studying this issue as a future work.

The authors have originated the proposed step-exchange strategy for balance control of a walking biped robot under lateral impact. The strategy is genuine and superior in comparison with the state-of-the-art strategy because not only can a biped robot be balanced but it can also easily continue walking by using the step-exchange strategy.

This paper investigates a retrospective on the Journal of Derivatives and Quantitative Studies (JDQS) on its 30th anniversary based on bibliometric. JDQSs yearly publications, citations, impact factors, and centrality indices grew up in early 2010s, and diminished in 2020. Keyword network analysis reveals the JDQS's main keywords including behavioral finance, implied volatility, information asymmetry, price discovery, KOSPI200 futures, volatility, and KOSPI200 options. Citations of JDQS articles are mainly driven by article age, demeaned age squared, conference, nonacademic authors and language. In comparison between number of views and downloads for JDQS articles, we find that recent changes in publisher and editorial and publishing policies have increased visibility of JDQS.

The purpose of this paper is to review the nutritional composition, phytochemicals and bioactive compounds of black rice such as flavonoids, phenolic compounds and their health benefits. Black rice has also been used in medicine and for curing diabetes, obesity, cardiovascular diseases and cancer. Green technologies such as microwave-assisted extraction, supercritical fluid extraction and pulse electric field assisted extraction are very useful for the extraction of bioactive compounds as these reduce the use of energy and are environmental friendly. Black rice in different forms can be incorporated in various food products such as bakery, dairy and meat products.

Information and data were collected from different sources such as Google Scholar, Research Gate, online journals available at Banaras Hindu University library, Web of Science and Scopus. A database of more than 80 scientific sources from different sources was made as per the headings and subheadings of the paper.

Black rice is a type of rice species (Oryza sativa L.) and very good source of various nutrients and one of the nutritious varieties of rice. It is a good reservoir of essential amino acids such as lysine, tryptophan, minerals including iron, calcium, phosphorus, zinc and selenium; vitamins such as vitamin B1, vitamin B2 and folic acid. Various recent methods of extraction of bioactive compounds from black rice are suggested.

Researchers and scientists have considered black rice as a “Super Food” because of its nutritional profile. Black rice has antioxidant activity, anti-inflammatory activity, anticancer activity, antihyperlipidemia and antihyperglycemia and anti-allergic activity. There is a need to create awareness among the consumers about its nutritional profile and therapeutic properties.