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Given the growing interest in social movements as policy agenda setters, this paper investigates the contexts within which movement groups and actors work with political elites to promote their common goals for policy change. In asking how and why so-called outsiders gain access to elites and to the policymaking process, I address several contemporary theoretical and empirical concerns associated with policy change as a social movement goal. I examine the claim that movements use a multipronged, long-term strategy by working with and targeting policymakers and political institutions on the one hand, while shaping public preferences – hearts and minds – on the other; that these efforts are not mutually exclusive. In addition, I look at how social movement organizations and actors are critical in expanding issue conflict outside narrow policy networks, often encouraged to do so by political elites with similar policy objectives. And, I discuss actors’ mobility in transitioning from institutional activists to movement and organizational leaders, and even to protesters, and vice versa. The interchangeability of roles among actors promoting social change in strategic action fields points to the porous and fluid boundaries between state and nonstate actors and organizations.

Within the legal mobilization framework, sociolegal scholars identify elite support as a key indirect benefit of litigation. Court-centered strategies generate support from influential state and private actors, and this support helps a movement to achieve its goals. Instead of assuming elite support to be a decidedly positive step in a movement’s trajectory, a more contextual analysis situates elite support as a complex, dynamic factor that movement advocates attempt to manage. Such support may at times create political and legal risks that jeopardize a movement's progress. My analysis of the marriage equality movement suggests a tentative typology with which to approach elite support: Elite support appears generally productive for a movement when it leads to action consistent with the movement's strategy. On the other hand, elite support may pose significant risk when it prompts action inconsistent with the movement's strategic plan, even if it is consistent with the movement's substantive positions.

Repetitive and restrictive behaviors are one of the core components of diagnosing a child with an autism spectrum disorder. These behaviors may take the form of repetitive motor movements or vocalizations, often referred to as stereotypical behaviors. These behaviors can impede the child’s educational and social opportunities, and have thus become a target for intervention. A variety of interventions have been used to reduce stereotypical behaviors with varied success. One of the most oft-used interventions is deep pressure therapy (e.g., weighted vests), a practice that enjoys substantial anecdotal but little empirical support. Conversely, interventions based on functional behavior assessment (FBA) have been shown to reduce these behaviors, but may not be used frequently within schools. Therefore, this chapter will provide a brief overview of stereotypical behaviors and compare these two intervention approaches, with a clear preference for FBA-based interventions due to their stronger empirical support.

Recognition and guidance of initial welding position (IWP) is one of the most important steps of automatic welding process, also a key technology of autonomous welding process. The purpose of this paper is to advance an improved Harris Algorithm and grey scale scanning method (GSCM) to raise the precision of image processing.

Through the configuration of “single camera and double positions,” a new set of image processing algorithms is adopted to extract feature points by using the pattern of rough location and subtle extraction, so as to restructure three‐dimensional information to guide robot move to IWP in the practical welding environment.

Experiments showed that mean square errors (MSEs) in X, Y, Z‐directions for both flat butt joint and flat flange are 0.4491, 0.8178, 1.4797, and 0.5398, 0.4861, 1.1071 mm, respectively.

It has a limitation in providing guidance for only one step, and would be more accurate if fractional steps are adopted.

Guidance experiments of IWPs on oxidant tank's simulating parts are carried out, whose success rate is up to 95 percent and MSEs are 0.7407, 0.7971, and 1.3429 mm. It meets the demands of continuous and automatic welding process.

Improved Harris Algorithm and GSCM are advanced to raise the precision of image processing which influenced guidance precision most.

Construction activities conducted in urban areas are often a source of significant noise disturbances, which cause psychological and health issues for residents as well as long-term auditory impairments for construction workers. The limited effectiveness of passive noise control measures due to the close proximity of the construction site to surrounding neighborhoods often results in complaints and eventually lawsuits. These can then lead to delays and cost overruns for the construction projects.

The paper proposes a novel approach to integrating construction noise as an additional dimension into scheduling construction works. To achieve this, a building information model, including the three-dimensional construction site layout object geometry, resource allocation and schedule information, is utilized. The developed method explores further project data that are typically available, such as the assigned equipment to a task, its precise location, and the estimated duration of noisy tasks. This results in a noise prediction model by using noise mapping techniques and suggesting less noisy alternative ways of construction. Finally, noise data obtained from sensors in a case study contribute real values for validating the proposed approach, which can be used later to suggest solutions for noise mitigation.

The results of this study indicate that the proposed approach can accurately predict construction noise given a few available parameters from digital project planning and sensors installed on a construction site. Proactively integrating construction noise control measures into the planning process has benefits for both residents and construction managers, as it reduces construction noise-related disturbances, prevents unexpected legal issues and ensures the health and well-being of the workforce.

While previous research has concentrated on real-time data collection using sensors, a more effective solution would also involve addressing and mitigating construction noise during the pre-construction work planning phase.

The purpose of this paper is to explore a novel control approach for swift and accurate positioning and tracking of a mobile robot. Coordinated movement of the mobile robot-body and chameleon-inspired binocular “negative correlation” visual system (CIBNCVS) with neck has rarely been considered in conventional mobile robot design. However, it is vital in swift and accurate positioning and tracking of the target. Consequently, it is valuable to find an optimized method where the robot-body, the biomimetic eyes and neck could achieve optimal coordinated movement.

Based on a wheeled mobile robot, a biomimetic dual Pan–Tilt–Zoom visual system with neck is constructed. The cameras can rely on the unique “negative correlation” mode of chameleon vision, and cooperate with neck, achieving swift search of the 160° scope in front of the robot. Genetic algorithm is used to obtain optimal rotation of the neck and robot-body. Variable resolution targeting is also applied for accurate aiming. Using these two approaches, we can achieve efficient targeting with low energy consumption. Particle filter algorithm is further utilized for real-time tracking.

In the proposed approach, swift and accurate positioning and tracking of the target can be obtained. The rationality of the approach is verified by experiments on flat and sandy terrains with satisfactory results.

This paper proposes a novel control approach for wheeled mobile robots, which achieves coordinated movement of the robot-body and CIBNCVS with neck concerning time and energy saving in the process of swift and accurate tracking.

This study aims to improve the welding quality and efficiency, and an algorithm should be designed to realize tracking space-curved fillet weld joints.

Fillet weld joints tracking based on the two wheels and the horizontal slider coordinated movement has been studied. The method of pattern recognition is used to identify the height deviation, and the analysis of the accuracy corresponding to recognizing height deviations has been researched. The proportional control algorithm is used to control the vertical and horizontal sliders movement, so fillet weld joints tracking in the height direction has been achieved. Based on wheels and vertical and horizontal sliders coordinated movement, the algorithm of space-curved fillet weld joints tracking has been researched.

Some experiments have been done, and experimental results show that the welding robot can track space-curved fillet weld joints with high accuracy and good reliability.

The welding robot can improve the welding quality and efficiency.

The welding robot can track fillet weld joints in ship panels, and it was shown that the welding robot could track space-curved fillet weld joints with high accuracy and good reliability.

The welding robot has many industrial and social applications.

There are various forms of fillet weld joints in the industry, and the fillet weld is curved in the space. Experimental results show that the welding robot can track space-curved fillet weld joints with good stability and high precision.