Richard Rorty, innovation strategies & movie inspiration

Movie innovation is a conversation between screenwriters and producers in our mixed economy – a concept of innovation supported by Richard Rorty and Aristole's Poetics. During innovation conversations, inspired writers describe fresh movie actions to empathetic producers. Some inspired actions may confuse. Writers and producers use strategies to inquire about confusing actions. This Australian study redescribes 25 writer-producer strategies in the one place for the first time. It adds a new strategy. And, with more evidence than the current literature, it investigates writer inspiration, which drives film innovation. It reports inspiration in pioneering, verifiable detail.

Strategies for appropriate technology and competitive performance in infrastructure construction

Earlier research developed theoretically-based aggregate metrics for technology strategy and used them to analyze California bridge construction firms (Hampson, 1993). Determinants of firm performance, including trend in contract awards, market share and contract awards per employee, were used as indicators for competitive performance. The results of this research were a series of refined theoretically-based measures for technology strategy and a demonstrated positive relationship between technology strategy and competitive performance within the bridge construction sector. This research showed that three technology strategy dimensions—competitive positioning, depth of technology strategy, and organizational fit— show very strong correlation with the competitive performance indicators of absolute growth in contract awards, and contract awards per employee. Both researchers and industry professionals need improved understanding of how technology affects results, and how to better target investments to improve competitive performance in particular industry sectors. This paper builds on the previous research findings by evaluating the strategic fit of firms' approach to technology with industry segment characteristics. It begins with a brief overview of the background regarding technology strategy. The major sections of the paper describe niches and firms in an example infrastructure construction market, analyze appropriate technology strategies, and describe managerial actions to implement these strategies and support the business objectives of the firm.

Network protocols and predictive control strategies for distributed real-time control applications

A trend in design and implementation of modern industrial automation systems is to integrate computing, communication and control into a unified framework at different levels of machine/factory operations and information processing. These distributed control systems are referred to as networked control systems (NCSs). They are composed of sensors, actuators, and controllers interconnected over communication networks. As most of communication networks are not designed for NCS applications, the communication requirements of NCSs may be not satisfied. For example, traditional control systems require the data to be accurate, timely and lossless. However, because of random transmission delays and packet losses, the control performance of a control system may be badly deteriorated, and the control system rendered unstable. The main challenge of NCS design is to both maintain and improve stable control performance of an NCS. To achieve this, communication and control methodologies have to be designed. In recent decades, Ethernet and 802.11 networks have been introduced in control networks and have even replaced traditional fieldbus productions in some real-time control applications, because of their high bandwidth and good interoperability. As Ethernet and 802.11 networks are not designed for distributed control applications, two aspects of NCS research need to be addressed to make these communication networks suitable for control systems in industrial environments. From the perspective of networking, communication protocols need to be designed to satisfy communication requirements for NCSs such as real-time communication and high-precision clock consistency requirements. From the perspective of control, methods to compensate for network-induced delays and packet losses are important for NCS design. To make Ethernet-based and 802.11 networks suitable for distributed control applications, this thesis develops a high-precision relative clock synchronisation protocol and an analytical model for analysing the real-time performance of 802.11 networks, and designs a new predictive compensation method. Firstly, a hybrid NCS simulation environment based on the NS-2 simulator is designed and implemented. Secondly, a high-precision relative clock synchronization protocol is designed and implemented. Thirdly, transmission delays in 802.11 networks for soft-real-time control applications are modeled by use of a Markov chain model in which real-time Quality-of- Service parameters are analysed under a periodic traffic pattern. By using a Markov chain model, we can accurately model the tradeoff between real-time performance and throughput performance. Furthermore, a cross-layer optimisation scheme, featuring application-layer flow rate adaptation, is designed to achieve the tradeoff between certain real-time and throughput performance characteristics in a typical NCS scenario with wireless local area network. Fourthly, as a co-design approach for both a network and a controller, a new predictive compensation method for variable delay and packet loss in NCSs is designed, where simultaneous end-to-end delays and packet losses during packet transmissions from sensors to actuators is tackled. The effectiveness of the proposed predictive compensation approach is demonstrated using our hybrid NCS simulation environment.

Strategies for managing osteoarthritis

Background Although there are recommendations for the management of osteoarthritis (OA), little is known about how people with OA actually manage this chronic condition. Purpose The aims of this study were to identify the non-pharmacological and pharmacological therapies most commonly used for the management of hip or knee OA, in a community-based sample of adults, and to compare these with evidence-based recommendations. Methods A questionnaire was mailed to 2200 adult members of Arthritis Queensland living in Brisbane, Australia. It included questions about OA symptoms, management therapies and demographic characteristics. Results Of the 485 participants (192 men, 293 women) with hip or knee OA who completed the questionnaire, most had mild to moderate symptoms. Ninety-six percent of participants (aged 27–95 years) reported using at least one non-pharmacological therapy, and 78% reported using at least one pharmacological therapy. The most common currently used non-pharmacological strategy was range-of-motion exercises (men 52%, women 61%, p=0.05) and the most common frequently used pharmacological strategy was glucosamine/chondroitin (men 51%, women 60%, ns). For the most highly recommended strategies, 65% of men and 54% of women had never attended an information/education course (p=0.04), and fewer than half (46% of women and 42% of men, p=0.03) were frequent users of anti-inflammatory agents. Conclusion The findings suggest that many people with knee or hip OA do not follow the most highly endorsed of the OARSI (Osteoarthritis Research Society International) recommendations for management of OA. Health professionals should be encouraged to recommend evidence-based therapies to their patients.

Attribute exclusion strategies in airline choice : accounting for exogenous information on decision maker processing strategies in models of discrete choice

We examine the impact of individual-specific information processing strategies (IPSs) on the inclusion/exclusion of attributes on the parameter estimates and behavioural outputs of models of discrete choice. Current practice assumes that individuals employ a homogenous IPS with regards to how they process attributes of stated choice (SC) experiments. We show how information collected exogenous of the SC experiment on whether respondents either ignored or considered each attribute may be used in the estimation process, and how such information provides outputs that are IPS segment specific. We contend that accounting the inclusion/exclusion of attributes will result in behaviourally richer population parameter estimates.

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.