Auxiliary Support Research Articles

Multi-Stakeholder Retrospective Acceptability of a Peer Support Intervention for Exercise Referral.

Perceived social support opportunities are central to successful exercise referral scheme (ERS) client experiences. However, there remains a lack of guidance on how ERSs can embed social support opportunities within their provision. This study presents retrospective acceptability findings from a 12-week social-identity-informed peer support intervention to enhance perceived social support among clients of an English ERS. Five peer volunteers were recruited, trained, and deployed in supervised ERS sessions across two sites. Peers assisted exercise referral officers (EROs) by providing supplementary practical, informational, motivational, and emotional support to ERS clients. Individual semi-structured interviews were conducted with peers (n = 4), EROs (n = 2), and clients (n = 5) and analysed thematically. The analysis identified three primary themes. The first theme detailed how EROs utilised peer volunteers to supplement the ERS client experience. This theme delineated peer roles within the ERS context and identified salient individual peer characteristics that contributed to their success. The second theme described peer acceptability among the various stakeholders. Peers were valued for their ability to reduce burden on EROs and to enhance perceptions of comfort among ERS clients. The final theme presented participant feedback regarding how the intervention may be further refined and enhanced. Peers represented a cost-effective and acceptable means of providing auxiliary social support to ERS clients. Moving forward, the structured integration of peers can improve the accessibility of social support among ERS participants, thus facilitating better rates of ERS completion.

Vibration suppression of aeroengine casing during milling

The casing is a basal body part for assembling other parts in an aeroengine, but its weak rigidity seriously affects machining accuracy and production efficiency. Therefore, it is very important to improve this rigidity of the part during processing. An aeroengine combustor casing is used to study the vibration law and suppression method of a casing milling process through a combination of simulations and physical experiments in this paper. First, the milling vibration law of a Rolls-Royce aeroengine combustor casing is analysed through mechanical analysis and machining vibration detection, and then a simulation experiment environment based on physical experiment verification is established. Second, based on a virtual experimental platform, the free mode and constraint mode of the casing without auxiliary support, multipoint rigid auxiliary support, and flexible surface auxiliary support schemes are analysed. Subsequently, to determine the optimal support pressure for different types of casing parts produced on-site, after analysing the common size range of the casing, 34 and 43 full-factor simulation experiments are performed, and the influence of each factor on the change in vibration is summarised. Finally, a static load experiment is used to verify that the clamping scheme of the flexible surface auxiliary support can improve the radial rigidity of the casing. Through the experimental research in this paper, the results show that the error between the simulation experiment results and the physical experiment is basically kept within 20%, and the established virtual experiment is reliable. At the same time, based on the simulation data in this paper, the function expressions of vibration deformation and support pressure, milling force, case thickness, and casing diameter are fitted, and the R-square reaches 91.2%. This empirical formula provides theoretical support for the selection of optimal support air pressure and the prediction of vibration and deformation.

COVID-19 in China: Responses, Challenges and Implications for the Health System.

A public health crisis is a “touchstone” for testing the ability and capacity of a national health system. In the current era, public health crises are presenting new systematic and cross-border characteristics and uncertainty. The essence of a system for public health crisis governance is the rules administering the stimulus–response chain. The health system generally emphasizes joint participation and communication between different subjects, which may lead to overlap and redundancy as well as a lack of auxiliary support for major public health crisis events. In the context of coronavirus disease 2019 (COVID-19) in China, we track the responses, challenges, and implications of the temporary disruption of the health system and its response to this major public health crisis. We examine local governance capacity, performance in pandemic control, and the coordinated responses to COVID-19. Accordingly, we identify the challenges to the health system, including the imbalance in attention given to medical care versus health care, insufficient grassroots public health efforts and control capacity, and untimely information disclosure. It is strongly suggested that the government improve its cognitive ability and focus more attention on building and strengthening the emergency health system.

Support and Positioning Mechanism of a Detection Robot inside a Spherical Tank

Large pressure equipment needs to be tested regularly to ensure safe operation; wall-climbing robots can carry the necessary tools to inspect spherical tanks, such as cameras and non-destructive testing equipment. However, a wall-climbing robot inside a spherical tank cannot be accurately positioned owing to the particularity of the spherical tank structure. This paper proposes a passive support and positioning mechanism fixed in a spherical tank to improve the adsorption capacity and positioning accuracy of the inspection robot. The main body of the mechanism was designed as a truss composed of carbon fiber telescopic rods and can work in spherical tanks with diameters of 4.6‒15.7 m. The structural strength, stiffness, and stability of the mechanism are analyzed via force and deformation simulations. By constructing a mathematical model of the support and positioning mechanism, the influence of structural deformation on the supporting capacity is analyzed and calculated. The robot positioning method based on the support and positioning mechanism can effectively locate the robot inside a spherical tank. Experiments verified the support performance and robot positioning accuracy of the mechanism. This research proposes an auxiliary support and positioning mechanism for a detection robot inside a spherical tank, which can effectively improve the positioning accuracy of the robot and meet the robotic inspection requirements.

Deformation mechanism in wax supported milling of thin-walled structures based on milling forces stability

At mesoscale, dynamic alternating milling forces and relative stiffness of thin wall are the main factors affecting the deformation of thin-walled structures. To improve the machining accuracy and effectively control the thin wall deformation, this paper investigates the control strategies of dynamic milling forces and deformation mechanism in milling of different thin-walled structures. The instantaneous deformation of thin wall in high temperature casting wax supported milling is analyzed. A deformation control method of thin wall based on the dynamic stability of micro milling forces is proposed in high-speed milling process. Three representative milling experiments on microchannel cold plate with cantilevered boundary, single impeller blade with mixed boundaries, and cantilevered structure shaped like variable curvature wavy line are presented. The milling deformation mechanisms of these three thin-walled structures with different target thickness are further investigated in free milling and casting wax supported milling. Compared with free milling, the milling forces and thickness dimension of thin wall machined under different control strategies are analyzed. By monitoring the milling forces in milling of different micro-walled structures, the small difference and fluctuation of milling forces at different positions, together with the reduced thickness errors verify the effectiveness of the control strategies, using high temperature precision casting wax as auxiliary support in reducing the thin wall deflection. Additionally, the optimal milling control strategy of thin wall is determined.

An adaptive fixture for suppress vibrations and measuring workpiece deformation of thin-walled casings

Thin-walled casings are key components in aerospace engines. Due to the poor rigidity, workpiece vibration and deformation become the main factors to limit cutting efficiency. Auxiliary support is usually used to increase the rigidity of the workpiece. This paper proposes a novel adaptive auxiliary fixture, which integrates vibration suppression and deformation measurement functions. The fixture provides an adaptive support force to increase the local stiffness and damping by using air cylinders. The integrated displacement sensors measure the deformation of the workpiece during and after machining. Cutting experiment verifies the effectiveness of the fixture in vibration suppressing and deformation measurements.

Design of a new type of deep hole boring device

When boring deep holes, as the workpiece hole becomes deeper and deeper, the size of the boring bar is large, the overhang is large, the vibration of the boring bar is large, and it is easy to deform, which makes the ordinary deep hole boring tool unable to meet the actual complex working conditions. In order to reduce the vibration and deformation of the boring bar and further improve the machining accuracy of the workpiece, a deep hole boring device with auxiliary support is designed. The adjustable support provided by the device can play a role of fixing and guiding during processing, thereby effectively reducing processing vibration and deformation and improving processing accuracy. And completed the trial production and processing experiment of the device prototype. The results show that the machining accuracy of the new cylindrical deep hole boring device is very high and meets the design requirements.

Research on the Software of Planning Assisted Decision of Park Integrated Energy System

According to the characteristics of multi-demand of integrated energy customers, multi-faceted projects and complex technology categories, a decision-making software for integrated energy system planning is proposed. By constructing the investment income model of the energy system in the park, the software realizes the accurate planning of the capacity of the integrated energy system and the accurate evaluation of the investment income of the energy system, which provides the auxiliary decision support for the energy end users, the energy service providers and so on. The software realizes the intelligent optimization of the planning scheme through the optimization algorithm, and realizes the optimal planning capacity and investment income of the integrated energy system in the park. The software enriches the means of energy system planning and design, and improves the efficiency of planning.

A Fast Optimization Method of Water-Dropping Scheme for Fixed-Wing Firefighting Aircraft

The water-dropping scheme plays an important role in the aerial firefighting mission. When a wildfire occurs, the main problem faced by the aircrew is how to choose the appropriate water-dropping scheme (speed, height and trajectory) to achieve the optimal firefighting effect. However, so far, the crew members can only rely on the existing experience to generate the scheme, which lacks the corresponding theory method support. To solve above problem, this paper proposes a fast optimization method of water-dropping scheme for fixed-wing firefighting aircraft. Through the feature extraction of grid distribution, the agent model between aircraft water-dropping scheme and water distribution polygon is built taking advantage of neural network. Meanwhile, the corresponding extinguishing efficiency evaluation model is established with discrete points of fire area. Based on these researches, the combined genetic algorithm is used for searching the optimal water-dropping scheme. Finally, the feasibility and rapidity of the method are demonstrated through the application of examples. It is also shown that the method can optimize the water-dropping scheme quickly instead of aircrew experience and play a role of auxiliary decision support for the firefighting mission of fixed-wing firefighting aircraft.

Research on Image Data Management System of Power Transmission Project Based on Geographic Information

Taking "Power Transmission Project Management Information System" as an example, this paper introduces the application of Web GIS in power transmission project. The system comprehensively utilizes basic space data and related design results to provide a visual space collaborative management platform for owners, construction, construction, supervision and other related units, and intuitively displays accurate and complete project space locations, project progress, and related real-time data. Construction provides advanced auxiliary technical support, and transfers complete electronic archives of spatial location information for production operations. The "Power Transmission and Transformation Project Management Information System" has achieved good results in the field management of power transmission and transformation projects.

The Future Of Palliative Care: Covid-19 Pandemic Process And A Brief Overview On Telemedicine/Telehealth Applications

Due to the prolonged life expectancy worldwide, the number of individuals in need of home care and palliative care is increasing. In the process of palliative care, the needs of patients and caregivers that affect the quality of life and can contribute to daily life activities should be identified. The COVID-19 pandemic, which is spreading rapidly all over the world, and the changes it has made to social life have affected individuals with chronic diseases and/or long-term care patients. The needs and service demands of palliative care patients and their families may vary during their processes. The epidemic increases the demand for health services in society and has a compelling effect on health systems. In this case, remote access auxiliary support services may be raised in order to carry out medical care monitoring of patients. Although tele-medicial/tele-health applications are not a substitute for a face-to-face meeting between physician and patient in terms of medical service delivery, interest in these applications is increasing day by day to protect vulnerable patient groups from the risk of transmission and to ensure the continuity of care services. In this review, the discussion of the changing care needs of patients in need of palliative care and home care during the pandemic process and the use of new tools to meet health demands in a way that includes less risk will be reviewed. © 2021 Ankara Yildirim Beyazit University. All rights reserved.

Design and verification of four auxiliary support points by heat lock for large aperture off-axis mirror

Aiming at the requirements of high surface accuracy, high reliability and high stability of large aperture off-axis mirror assembly, a new type of composite support scheme for off-axis mirror was designed, which was supported by central cylinder and four points that could lock or unlock freely. The heat locking parts were locked during mechanical test and launching, released during ground test and on orbit. It could effectively improve the fundamental frequency and the ability to resist vibration, while ensuring the surface quality. In the end, the design was verified in the development of 706 mm×560 mm off-axis mirror assembly of a space remote sensor. The results show that the dynamic performance of the mirror assembly is very excellent when the four auxiliary support points is locking, that can meet the requirements of adhesive stress ≤3 MPa when the fundamental frequency is greater than 120 Hz and the static load is greater than 30 g, and the RMS of the surface of the mirror is better than λ/40 （λ=632.8 nm） when the four auxiliary support points locked or unlocked. The support design is reasonable and effective.

Crowd evacuation simulation method combining the density field and social force model

Guiding crowd evacuation through changes in crowd density is one of the hot spots in crowd simulation research. Crowd evacuation methods can intuitively guide crowds to avoid high-density areas and improve evacuation efficiency. However, these methods are limited in accounting for the overall situation and lack realism. Therefore, this paper proposes a crowd evacuation method based on a density navigation algorithm. In the proposed method, a density navigation field model based on an equipotential field is first established. The model uses changes in the amount of charge to respond to changes in the density of the crowd, forming a density field. Second, this paper proposes a density navigation algorithm that guides the target selection in the process of crowd movement by calculating the density factor and distance factor. Finally, the density evacuation algorithm is combined with the social force model (SFM) to perform crowd evacuation simulation using a two-layer mechanism. The upper layer uses the density navigation algorithm for path planning, and the bottom layer uses the social force model to guide the evacuation. The experimental results show that the method effectively improves the crowd evacuation efficiency and can provide auxiliary decision support for large-scale group gathering events.

An Overview of EGS Development and Management Suggestions

The world is facing the energy challenge to over-reliance to fossil-fuels, the development of renewable energy is inevitable. From a clean and economic view, enhanced geothermal system (EGS) provides an effective mean to utilize geothermal energy to generate. Different form the conventionalhydro geothermal, the host rock of EGS is Hot Dry Rock (HDR), which buries deeper with high temperature (more than 180°C). The generationof EGS is promising. The development of EGS can be combined with the tech Power to geothermal energy. Exceed power is supposed to drive fluid working in HDR layer to obtain geothermal energy for generation. The whole article can be divided into three parts. In the first art, evaluation indexes of EGS as well as pilot EGs Projects (e.g. Fenton Hill and Basel) and exiting EGS project (e.g. Paralana and Newberry) are summarized, which points a general impression on EGS site. The dominate indexes are heat flow, geothermal gradient and thermal storage. The second part is focused on the simulation methods and working fluids selection of EGS. A detailed comparison of the main simulation software (e.g. TOUGH2 and FEHM) is carried out. With the respect of working fluid selection, the comparison between water and CO2 is researched and CO2 is a preferred option for EGS development for less fluid loss and less dissolution to HDR. The art of CO2-EGS is introduced clearly in this part. The third part is about the addition consideration of EGS plant operation, it excludes auxiliary plant support and HSE management.

Assessment of the environmental impacts of medical devices: a review

Medical devices (MDs) are important health instruments, encompassing an enormous diversity of products, from simple ligatures to pacemakers, bone grafts or auxiliary life support machines. Despite the growing social and economic relevance of the MD industry in the health sector, its environmental problems have only recently started to be discussed. MDs companies worldwide are being pressed to assess the environmental impacts of their products by considering the full life cycle. These pressures are leading to the use of tools which promote fact-based environmental decision-making toward a more sustainable health sector. Life cycle assessment (LCA) and eco-design are well-known methods which may provide the MDs industrial sector with knowledge of the environmental impacts associated with their products and subsequently promote informed decisions leading to more sustainable materials, devices and services. This paper selects and reviews relevant studies using the methodology of LCA or eco-design, either applied in a singular basis or simulated, to access impacts of MDs. Seeking for a comparative analysis, this review is extended to LCA studies for the most used material in the MDs industry: the polymers. Results show that the number of studies is not vast, realizing the yet scarce use of either LCA and eco-design in the scientific literature for MDs. Nevertheless, it is observed that when applied either LCA and eco-deign can promote grounds for an increase in the environmental sustainability of MDs.

Experimental tests for mechanical properties of wooden ‘buttons’ used for attaching auxiliary supports behind panel paintings

When wooden supports of panel paintings have been severely altered or damaged and the original crossbeams are missing, new crossbeams or other types of auxiliary supports can be connected to the panel’s back-face in order to achieve desired effects including panel strengthening and control of deformations. In order to make such connection, the Restorers of Opificio delle Pietre Dure use small wooden blocks, each glued on the back face of the panel, and holding freely the head of a screw connected (often by means of springs) to the auxiliary support; the English term ‘buttons’ has been proposed for such blocks. This research examines in depth how the shape (conical or cylindrical) and dimensions (diameter in the 20-30 mm range, and thickness in the 3-6 mm range) of the buttons, all made from oak wood, influence their stiffness and load-carrying capacity. Each button was glued onto a dummy beech board by means of epoxy structural resin; a 3 mm diameter steel screw was inserted in each button’s hole prior to gluing, so that its head remained ‘trapped’ between the button’s cavity and the board. A short-term mechanical test was performed with a universal testing machine by axially pulling out the screw from the button. Load and displacement were recorded, and the load–displacement curves were analysed. The results showed that within the tested range: a) the ultimate load-carrying capacity of the buttons is only influenced by the residual thickness above the screw head, b) nor the shape nor the external diameter of the buttons have any influence on their mechanical properties, c) the stiffness (slope of the straight part of the load-displacement curve) of the connection depends only on the embedding of the screw head into the wood (i.e. mainly on the wood density).

Development of HVRT and LVRT Control Strategy for PMSG-Based Wind Turbine Generators

Various challenges are acknowledged in practical cases with high wind power penetration. Fault ride-through (FRT) capability has become the most dominant grid integration requirements for the wind energy conversion system worldwide. The high voltage ride-through (HVRT) and low voltage ride-through (LVRT) performance play a vital role in the grid-friendly integration into the system. In this paper, a coordinated HVRT and LVRT control strategy is proposed to enhance the FRT capability of the permanent magnet synchronous generator (PMSG)-based wind turbine generators (WTG). A dual-mode chopper protection is developed to avoid DC-link overvoltage, and a deadband protection is proposed to prevent oscillations under edge voltage conditions. The proposed strategy can ride through different levels of voltage sags or swells and provide auxiliary dynamic reactive power support simultaneously. The performance of the proposed control scheme is validated through various comparison case tests in PSCAD/EMTDC.

Campus intelligent security construction based on internet of things

As a hot issue of national and social concern, campus security construction in colleges and universities has some problems such as insufficient information perception and control, as well as insufficient ability of data collection, analysis and sharing, which is difficult to meet the needs of campus security management in the new era. Based on the internet of things technology, comprehensive use of cloud computing, big data and artificial intelligence technologies, we propose a campus intelligent security system framework, then, design the main application functions are specifically, and finally, analyze the typical application scenarios and construction effects. Our campus intelligent security system framework has the characteristics of multi-dimensional perception, heterogeneous interconnection, intelligent and efficient, comprehensive control, centralized presentation and cloud management, which can provide a safe and convenient environment for teachers and students, provide overall situation display and auxiliary decision support for university administrators, and provide comprehensive platform support for campus security management.

Transportation Index Computation: A Development Theme Mining-Based Approach

Abstract In order to comprehensively evaluate the achievements of the 'Belt and Road' in integrated transportation, researchers need to optimize the method of generating evaluation indices and construct the framework structure of the 'Belt and Road' transportation index system. This paper used GDELT database as data source and obtained full text data of English news in 25 countries along ‘the Belt and Road’. The paper also introduced the topic model, combined with the unsupervised method (latent Dirichlet allocation, LDA) and the supervision method (labeled LDA) to mine the topics contained in the news data. It constructed the transportation development model and analyzed the development trend of transportation in various countries. The study found that the development trend of transportation in the countries along the line is unbalanced, which can be divided into four types: rapid development type, stable development type, slow development type and lagging development type. The method of this paper can effectively extract temporal and spatial variation of news events, discover potential risks in various countries, support real-time and dynamic monitoring of the social development situation of the countries along the border and provide auxiliary decision support for implementation of the ‘the Belt and Road’ initiative, which has important application value.

A Framework on Quality Risk Early Warning for Hydraulic Engineering Construction Based on LSTM

With the reform of “strengthening management and service”, the focus of water conservancy project administration has gradually changed from the former mode of “attaching importance to examination and approval and ignoring supervision” to the mode of “attaching importance to service and strengthening supervision”. However, government supervision relies only on human resources, so it is inevitable that there will be overlapping supervision, loopholes, low efficiency and high cost. In this paper, the LSTM model in deep learning is used to predict the risks of water conservancy projects according to the text information such as quality supervision and inspection reports, and the risk early warning system of water conservancy projects is designed to provide auxiliary decision support for the quality supervision of water conservancy projects, which is of great significance to the formulation of quality supervision measures, allocation of supervision and management resources and the quality guidance of water conservancy projects.