Striking the right balance and supporting social aspirations: how agency and choice play out in a recovery-oriented mental health service

Introduction There has been an increasing drive for a transformation of the mental health system towards recovery orientation, with research identifying a series of key recovery principles. It has been argued that these principles remain rhetoric rather than routine practice, and it remains unclear how these are operationalised and promoted within inpatient settings. Aim To address the knowledge gap of how staff and service-users enact recovery principles during the daily workings of an inpatient mental health service. Method Twenty-one interviews were conducted with staff and service-users at a recovery-oriented inpatient service in the United Kingdom. Data was analysed using framework analysis. Findings Analysis of research interview data identified three subcategories grouped under the category of choice. These categories were: a delicate balancing act, acceptability of choices, and social issues impacting choice. Discussion Staff were uncertain of their role in promoting choice, resulting in service-users feeling unsupported in their recovery. Staff had to adopt a titrated approach to social inclusion, to protect service-users from discrimination and rejection. Implications Mental health professionals need to take a more proactive role in enabling service-users to realise their social aspirations, as well as managing any adverse impacts of stigma and discrimination

Platform Markets and Energy Services

A structural shift from transaction-based, marginal cost pricing to fee-based service business models often accompanies We emergence of “platform” markets, i.e. multi-sided markets where an intermediary captures the value of the interaction between user groups. The many examples include telecommunications, data storage, cinema, music and media, and the automobile industry. Why not electricity? In this paper, we explore how the electricity supply industry can be conceived of as a platform-mediated, two-sided market and the consequences for pricing. Through two cases, a balancing services provider for smart home energy management systems and an electric vehicle charge manager, we show where a platform entrant could position itself in the retail electricity markets between supply companies and end-users. The drivers of such a transition include increased volatility due to renewable generation, the new complexity of roles for end-users, and the introduction of information and communication technologies. Conceiving of electricity as a platform market where new entrants provide an energy optimisation and management service may stimulate a competitive ecosystem and innovation. We suggest that fee-based pricing would enable the objectives of time-varying pricing to be achieved without adversely affecting the most vulnerable customers

Balancing Operational Services in Healthcare: An Indonesian Perspective

The purpose of this chapter is to discuss the concept and application of business management services, especially healthcare services. This chapter also features an important issue in healthcare management, balancing conceptual and applied operational services and marketing in healthcare management. The text is organized in four parts. The emphasis is essential uniqueness of healthcare service management. The first part contains an introduction to healthcare covering a wide range of healthcare settings, such as clinics, hospitals, beauty treatments, fitness centers and so on. The second part contains the design of the quality of primary and secondary level healthcare services, measurement, strategies and impacts. The third part contains a healthcare customer satisfaction guarantee, experience, expectations and performance, including dissatisfaction, switching healthcare provider, trust, commitment and patient loyalty. The fourth part contains changes in healthcare business, government policies, information technology, access to health care, and state and private health insurances in Indonesia

Reinforcement learning for communication load balancing: approaches and challenges

The amount of cellular communication network traffic has increased dramatically in recent years, and this increase has led to a demand for enhanced network performance. Communication load balancing aims to balance the load across available network resources and thus improve the quality of service for network users. Most existing load balancing algorithms are manually designed and tuned rule-based methods where near-optimality is almost impossible to achieve. Furthermore, rule-based methods are difficult to adapt to quickly changing traffic patterns in real-world environments. Reinforcement learning (RL) algorithms, especially deep reinforcement learning algorithms, have achieved impressive successes in many application domains and offer the potential of good adaptabiity to dynamic changes in network load patterns. This survey presents a systematic overview of RL-based communication load-balancing methods and discusses related challenges and opportunities. We first provide an introduction to the load balancing problem and to RL from fundamental concepts to advanced models. Then, we review RL approaches that address emerging communication load balancing issues important to next generation networks, including 5G and beyond. Finally, we highlight important challenges, open issues, and future research directions for applying RL for communication load balancing

J2EE application for clustered servers : focus on balancing workloads among clustered servers : a thesis presented in partial fulfilment of the requirements for the degree of Master of Information Science in Computer Science at Massey University, Albany, New Zealand

J2EE has become a de facto platform for developing enterprise applications not only by its standard based methodology but also by reducing the cost and complexity of developing multi-tier enterprise applications. J2EE based application servers keep business logic separate from the front-end applications (client-side) and back-end database servers. The standardized components and containers simplify J2EE application design. The containers automatically manage the fundamental system level services for its components, which enable the components design to focus on the business requirement and business logic. This study applies the latest J2EE technologies to configure an online benchmark enterprise application - MG Project. The application focuses on three types of components design including Servlet, entity bean and session bean. Servlets run on the web server Tomcat, EJB components, session beans and entity beans run on the application server JBoss and the database runs on the database server Postgre SQL. This benchmark application is used for testing the performance of clustered JBoss due to various load-balancing policies applied at the EJB level. This research also focuses on studying the various load-balancing policies effect on the performance of clustered JBoss. As well as the four built-in load-balancing policies i.e. First Available, First Available Identical All Proxies, Random Robin and Round Robin, the study also extend the JBoss Load balance Policy interface to design two dynamic load-balancing policies. They are dynamic and dynamic weight-based load-balancing policies. The purpose of dynamic load-balancing policies design is to ensure minimal response time and obtain better performance by dispatching incoming requests to the appropriate server. However, a more accurate policy usually means more communications and calculations, which give an extra burden to a heavily loaded application server that can lead to drops in the performance

Grid Integration Costs of Fluctuating Renewable Energy Sources

The grid integration of intermittent Renewable Energy Sources (RES) causes costs for grid operators due to forecast uncertainty and the resulting production schedule mismatches. These so-called profile service costs are marginal cost components and can be understood as an insurance fee against RES production schedule uncertainty that the system operator incurs due to the obligation to always provide sufficient control reserve capacity for power imbalance mitigation. This paper studies the situation for the German power system and the existing German RES support schemes. The profile service costs incurred by German Transmission System Operators (TSOs) are quantified and means for cost reduction are discussed. In general, profile service costs are dependent on the RES prediction error and the specific workings of the power markets via which the prediction error is balanced. This paper shows both how the prediction error can be reduced in daily operation as well as how profile service costs can be reduced via optimization against power markets and/or active curtailment of RES generation.Comment: Accepted for SUSTECH 2014, Portland, Oregon, USA, July 201

Enriching the tactical network design of express service carriers with fleet scheduling characteristics

Express service carriers provide time-guaranteed deliveries of parcels via a network consisting of nodes and hubs. In this, nodes take care of the collection and delivery of parcels, and hubs have the function to consolidate parcels in between the nodes. The tactical network design problem assigns nodes to hubs, determines arcs between hubs, and routes parcels through the network. Afterwards, fleet scheduling creates a schedule for vehicles operated in the network. The strong relation between flow routing and fleet scheduling makes it difficult to optimise the network cost. Due to this complexity, fleet scheduling and network design are usually decoupled. We propose a new tactical network design model that is able to include fleet scheduling characteristics (like vehicle capacities, vehicle balancing, and drivers' legislations) in the network design. The model is tested on benchmark data based on instances from an express provider, resulting in significant cost reductions