Innovation strategies for developing the traditional souvenir craft industry

This paper describes the concept of innovation strategies for traditional souvenir craft industries. There are many traditional souvenir craft industries in Indonesia, and they have to compete in today‘s global markets. The craftsmanship and uniqueness of traditional crafts must be developed to attract a larger market. This competition is not easy for craftspeople, neither financially nor culturally. The authors propose some innovation strategies to facilitate craftspeople in generating ideas based on their traditional value, to ensure their sustainability in global context. However, even though there are a number of studies about the craft industry and souvenirs, there is little research focused on the souvenir product development process, especially in the traditional craft industry. Considering that souvenirs are products for pleasure which require hedonic value more than utilitarian value, the offered innovation strategy refers to the strategy applied in existing industries that produce hedonic products. Innovation strategy in the fashion industry is selected as a reference, which is discussed by considering the context of the traditional souvenir craft industry. This investigation will support further research about knowledge sharing systems to enable collaborative learning within traditional craftspeople.

The effects of weight loss strategies on gastric emptying and appetite control

The gastrointestinal tract plays an important role in the improved appetite control and weight loss in response to bariatric surgery. Other strategies which similarly alter gastrointestinal responses to food intake could contribute to successful weight management. The aim of this review is to discuss the effects of surgical, pharmacological and behavioural weight loss interventions on gastrointestinal targets of appetite control, including gastric emptying. Gastrointestinal peptides are also discussed because of their integrative relationship in appetite control. This review shows that different strategies exert diverse effects and there is no consensus on the optimal strategy for manipulating gastric emptying to improve appetite control. Emerging evidence from surgical procedures (e.g., sleeve gastrectomy and Roux en-Y gastric bypass) suggests a faster emptying rate and earlier delivery of nutrients to the distal small intestine may improve appetite control. Energy restriction slows gastric emptying, while the effect of exercise-induced weight loss on gastric emptying remains to be established. The limited evidence suggests that chronic exercise is associated with faster gastric emptying which we hypothesise will impact on appetite control and energy balance. Understanding how behavioural weight loss interventions (e.g., diet and exercise) alter gastrointestinal targets of appetite control may be important to improve their success in weight management.

Hybrid-Game Strategies for multi-objective design optimization in engineering

A number of Game Strategies (GS) have been developed in past decades. They have been used in the fields of economics, engineering, computer science and biology due to their efficiency in solving design optimization problems. In addition, research in multi-objective (MO) and multidisciplinary design optimization (MDO) has focused on developing robust and efficient optimization methods to produce a set of high quality solutions with low computational cost. In this paper, two optimization techniques are considered; the first optimization method uses multi-fidelity hierarchical Pareto optimality. The second optimization method uses the combination of two Game Strategies; Nash-equilibrium and Pareto optimality. The paper shows how Game Strategies can be hybridised and coupled to Multi-Objective Evolutionary Algorithms (MOEA) to accelerate convergence speed and to produce a set of high quality solutions. Numerical results obtained from both optimization methods are compared in terms of computational expense and model quality. The benefits of using Hybrid-Game Strategies are clearly demonstrated

Optimal strategies and minimax lower bounds for online convex games

A number of learning problems can be cast as an Online Convex Game: on each round, a learner makes a prediction x from a convex set, the environment plays a loss function f, and the learner’s long-term goal is to minimize regret. Algorithms have been proposed by Zinkevich, when f is assumed to be convex, and Hazan et al., when f is assumed to be strongly convex, that have provably low regret. We consider these two settings and analyze such games from a minimax perspective, proving minimax strategies and lower bounds in each case. These results prove that the existing algorithms are essentially optimal.

Self-management of cancer treatment-related fatigue, nausea, vomiting and oral mucositis in Chinese cancer patients

Background: Treatment-related symptoms continue to place a significant burden on many cancer patients. Many side effects require patients to engage in a range of self-management actions. While some studies have explored self-management of treatment-related side effects in Western settings, very few studies were identified that described the self-management practices of cancer patients in China. Objective: The purposes of this study are to: (1) Investigate Chinese cancer patients. self-management behaviours in dealing with the fatigue, nausea/vomiting and oral mucositis that result from treatment, as well as the perceived effectiveness of these behaviours and related self-efficacy in performing them. (2) Explore factors influencing symptom self-management behaviours using the Cancer Symptom Self-management Framework based on Grey, Knafl and McCorkle.s (2006) self-management framework as a guide. Methods: This study was divided into two phases. Phase One consisted of the translation and modification of two instruments. The adaptation of these instruments to ensure applicability in the Chinese context was achieved through semi-structured interviews with six cancer patients, and content evaluation with eight experienced oncology nurses. A pilot study was conducted with nine cancer patients to trial the questionnaire set in the Chinese context. Based on the results of Phase One, Phase Two involved a cross-sectional survey of Chinese cancer patients undergoing cancer treatment using these instruments. A total of 277 chemotherapy patients with fatigue and/or nausea and vomiting, and 100 radiotherapy patients with oral mucositis were surveyed. Results: Participants in this study reported a variety of self-management behaviours to cope with fatigue, nausea, vomiting and oral mucositis. There are some consistencies as well disparities between strategies that are frequently used and those rated as effective. For fatigue self-management, participants were more likely to use strategies related to rest and sleep, while activity enhancement strategies were rated as achieving higher relief. For nausea and vomiting self-management, dietary modification and taking medication were most frequently used and rated as moderately effective. Psychological strategies were used by more than a third of participants and were rated as mildly effective. Some other infrequently used strategies, such as distraction by keeping busy and acupressure, were rated as moderately effective. For oral mucositis self-management, having soft, bland food and keeping the mouth moisturised were most frequently reported and they were rated as achieving moderate relief. A prescribed mouthwash was used by most but not all participants and brought moderate relief. In general, patients had low-to-moderate self-efficacy in nausea and vomiting self-management behaviours, moderate self-efficacy in fatigue self-management behaviours, and low-to-moderate self-efficacy in oral mucositis self-management behaviours. In terms of the factors influencing symptom self-management, different predictors were identified affecting engagement in fatigue, nausea/vomiting and oral mucositis self-management behaviours. Self-efficacy scores of different behaviours were consistently found to be a positive predictor of the relief level from corresponding behaviours, after controlling for other variables. Perceived social support from health care professionals was identified as an important factor influencing nausea and vomiting self-management behaviours, while neighbourhood support was important for fatigue self-management. In addition, symptom distress was identified as an important factor influencing nausea and vomiting self-management. Conclusion: Similar to reports from overseas, Chinese cancer patients initiate a wide range of self-management behaviours in response to treatment-related side effects. While some behaviours were reported to provide relief, many did not. Given these results, this study has a number of practical implications for health care professionals, particularly in relation to developing tailored self-management programs for fatigue, nausea, vomiting and oral mucositis. Additionally, this study suggests a number of theoretical implications and directions for future research. It is envisaged that these recommendations may pave the way for further studies understanding and promoting cancer symptom self-management in Chinese people affected by cancer.

Generalized binomial Tau-leap method for biochemical kinetics incorporating both delay and intrinsic noise

The delay stochastic simulation algorithm (DSSA) by Barrio et al. [Plos Comput. Biol.2, 117–E (2006)] was developed to simulate delayed processes in cell biology in the presence of intrinsic noise, that is, when there are small-to-moderate numbers of certain key molecules present in a chemical reaction system. These delayed processes can faithfully represent complex interactions and mechanisms that imply a number of spatiotemporal processes often not explicitly modeled such as transcription and translation, basic in the modeling of cell signaling pathways. However, for systems with widely varying reaction rate constants or large numbers of molecules, the simulation time steps of both the stochastic simulation algorithm (SSA) and the DSSA can become very small causing considerable computational overheads. In order to overcome the limit of small step sizes, various τ-leap strategies have been suggested for improving computational performance of the SSA. In this paper, we present a binomial τ- DSSA method that extends the τ-leap idea to the delay setting and avoids drawing insufficient numbers of reactions, a common shortcoming of existing binomial τ-leap methods that becomes evident when dealing with complex chemical interactions. The resulting inaccuracies are most evident in the delayed case, even when considering reaction products as potential reactants within the same time step in which they are produced. Moreover, we extend the framework to account for multicellular systems with different degrees of intercellular communication. We apply these ideas to two important genetic regulatory models, namely, the hes1 gene, implicated as a molecular clock, and a Her1/Her 7 model for coupled oscillating cells.