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The purpose of this paper is to develop a vision-based dual-arm cyclic motion method, focusing on solving the problems of an uncertain grasp position of the object and the dual-arm joint-angle-drift phenomenon.

A novel cascade control structure is proposed which associates an adaptive neural network with kinematics redundancy optimization. A radial basis function (RBF) neural network in conjunction with a conventional proportional–integral (PI) controller is applied to compensate for the uncertainty of the image Jacobian matrix which includes the estimated grasp position. To avoid the joint-angle-drift phenomenon, a dual neural network (DNN) solver in conjunction with a PI controller and dual-arm-coordinated constraints is applied to optimize the closed-chain kinematics redundancy.

The proposed method was implemented on an industrial robotic MOTOMAN with two 7-degrees of freedom robotic arms. Two experiments of carrying a tray repeatedly and turning a steering wheel were carried out, and the results indicate that the closed-trajectories tracking is achieved successfully both in the image plane and the joint spaces with the uncertain grasp position, which validates the accuracy and realizability of the proposed PI-RBF-DNN control strategy.

The adaptive neural network visual servoing method is applied to the dual-arm cyclic motion with the uncertain grasp position of the object. The proposed method enhances the environmental adaptability of a dual-arm robot in a practical manipulation task.

The purpose of this paper is to present a case study on how drinking water consumption could be potentially reduced by the introduction of dual water distribution networks. Since water of this quality is required only for drinking, cooking, bathing, and washing, delivering such water for uses that require non‐drinking water quality represents a tremendous waste of water and energy, and contributes to environmental pollution.

An overview of dual distribution networks in several countries is presented. Kuwait, in which 86 percent of the freshwater network has a parallel brackish water network, is the leader in this field, with brackish water used for a range of outdoor activities. The residential sector is the major consumer of freshwater in Kuwait and the control of demand in this sector will be a key factor in curbing the overall demand, which without any demand management measures is expected to quadruple by 2025. Computer modeling based on existing water use statistics and the proposed phasing‐in of a dual distribution network for indoor use in households has been undertaken to determine how the large quantities of reclaimed can be used to reduce drinking water consumption.

The paper presents a modeling exercise that demonstrates that by using reverse osmosis (RO) treated wastewater for toilet flushing and watering the gardens, water consumption demand can be stabilized at present levels over a 20‐year period.

The paper concludes that with foresight and long‐term planning it is feasible to implement a dual water supply network in a major city, on a scale which may lead to saving up to 25 percent of drinking quality water on top of other traditional water conservation measures.

The aim of this paper is to describe the development and functions of local and regional networks for professionals working with dual diagnosis in the north of England.

The paper is a descriptive account of local and regional networks in the north of England – their development, their function and future plans.

Local and regional networks are important in helping people share resources and ideas as well as gaining mutual support in what can be very stressful roles. However, there is a danger in a climate of financial constraints that network activities may be lost.

This paper focuses on the importance of collegiate networks of professionals and service user representatives and offers a perspective from the north of England.

People with a dual diagnosis or other multiple and complex needs often require support from a range of services and agencies. Social policy has focused on achieving an integrated response from practitioners; however, service responses to this group frequently remain fragmented. Practitioners supporting these clients are likely to need knowledge drawn from multiple disciplines and awareness of complex and changing services. Research suggests the value of professional networks for knowledge transfer. The purpose of this paper is to describe one's approach to supporting integration and facilitating knowledge exchange through the development of “communities of practice”.

The paper describes a “communities of practice” model, as implemented by researchers from King's College London and Revolving Doors Agency through their Communities of Practice Development Programme. It outlines potential benefits of the model – identified through focus groups and survey responses of members, facilitator interviews and the authors’ observations as community of practice members. Finally, it discusses challenges and limitations of this approach.

Communities of practice are able to provide a forum for peer support and supervision to mediate feelings of role or service isolation and to sustain practitioner motivation. They can also facilitate inter-disciplinary and inter-agency knowledge transfer. However, the limited resources available to these local networks act as a barrier to developing their capacity to improve responses to people with multiple and complex needs.

The paper uses a case study approach to outline the potential for a “communities of practice” approach to be used to improve responses to people with multiple and complex needs.

Information and influence are distinct network resources that are embedded in and mobilized from networks of personal contacts. A five-city survey shows that Chinese job changers obtain both kinds of network resources from social ties of varying strengths. During the first 20 years of China's market reforms, job changes were increasingly network facilitated; despite the growth of labor markets network allocation of labor had reached dominance by 1992. Job changers using information and influence networks to search for new employment were more likely to increase both job search time and job–worker matching; however, those using influence networks, not information networks, were likely to move into jobs of higher earning opportunity. These results are interpreted in a dynamic context of increasing market competition and growing allocative efficiency.

Presents a direct solution method for the determination of the capacitance, conductance or inductance of static linear problems with the dual finite element method. The direct solution method provides an entirely energy‐based method for the calculation of these global parameters and differs from the conventional solution techniques in that no recourse is required to the intermediate determination of the potential distribution. The direct solution method can be seen as the reduction of a dual circuit parameter network for the finite element representation. Compares the dual‐circuit parameter description with another, well‐known variational method called “Tubes and Slices”. Shows that by aligning the finite element mesh with the approximate positions of the equipotentials and flux lines in the system, the dual finite element model can be simplified to the equivalent of Tubes and Slices model and that both methods can produce exactly the same results.

This study aims to offer an overview of the models of clinical care of the patients with dual disorders in India.

All the members of the Dual Diagnosis India Network (DDIN) who shared the clinical care delivery at their center were invited to share the details of their model. In addition, an invite was also sent to those members who could not attend the online session but were interested in contributing the required information about their model. The information shared by the respondents was collated. The different models were then categorized based on their features.

Following the categorization of the clinical care services organization across different settings, five different models emerged. These were specialized dual diagnosis clinic; services for dual disorders offered as substance use disorder (SUD) treatment services within general psychiatry care; services for dual disorders in general psychiatry care; services for dual disorders offered as SUD treatment services separated from general psychiatry care; and services for dual disorders offered in general psychiatry services combined with exclusive SUD treatment services.

Currently, there is limited literature on models of dual disorders from the low- and middle-income countries. The authors believe that the documentation of these models from India shall be of help while setting up services for dual disorders in other health-care settings. This study can be a valuable resource for making informed choices while setting up new services.

This paper studies the optimal decision-making and coordination problem of a dual-channel fresh agricultural product (FAP) supply chain. The purpose is to analyze the impact of information sharing on optimal decisions and propose a coordination mechanism to encourage supply chain members to share information.

The two-echelon dual-channel FAP supply chain includes a manufacturer and a retailer. By using the Stackelberg game theory and the backward induction method, the optimal decisions are obtained under information symmetry and asymmetry and the coordination contract is designed.

The results show that supply chain members should comprehensively evaluate the specific situation of product attributes, coefficient of freshness-keeping cost and network operating costs to make decisions. Asymmetric information can exacerbate the deviation of optimal decisions among supply chain members and information sharing is always beneficial to manufacturers but not to retailers. The improved revenue-sharing and cost-sharing contract is an effective coordination mechanism.

The conclusions can provide theoretical guidance for supply chain managers to deal with information asymmetry and improve the competitiveness of the supply chain.

This paper combines the three characteristics that are most closely related to the reality of supply chains, including horizontal and vertical competition of different channels, the perishable characteristics of FAPs and the uncertainty generated by asymmetric demand information.